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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
68bfdc92a00fb5b201a60c596f05590bb0c70edb | 6,281 | py | Python | File Man/note.py | splimter/Univ | f28723756616ffd212d1c59d5547240c694a2d24 | [
"MIT"
] | null | null | null | File Man/note.py | splimter/Univ | f28723756616ffd212d1c59d5547240c694a2d24 | [
"MIT"
] | null | null | null | File Man/note.py | splimter/Univ | f28723756616ffd212d1c59d5547240c694a2d24 | [
"MIT"
] | null | null | null | import os
import helpers as H
# Cette function va afficher le menu
def menu():
print("1- Ajouter un Etudiant")
print("2- Ajouter un Matieres")
print("3- Ajouter un Note")
print("4- afficher la Moyenne d'un Etudiant")
print("5- Modifie le numIns d'un Etudiant")
print("6- suprimer une N... | 27.915556 | 109 | 0.532559 | 802 | 6,281 | 4.154613 | 0.169576 | 0.059424 | 0.048019 | 0.023409 | 0.485294 | 0.382053 | 0.352341 | 0.304622 | 0.254502 | 0.254502 | 0 | 0.009651 | 0.307117 | 6,281 | 224 | 110 | 28.040179 | 0.755974 | 0.078968 | 0 | 0.275449 | 0 | 0 | 0.199098 | 0.017313 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05988 | false | 0 | 0.011976 | 0 | 0.209581 | 0.113772 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68c4d76626da0bce8c26017b492f398cab45c0ab | 18,560 | py | Python | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/gto_point.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 3 | 2019-06-18T15:28:09.000Z | 2019-07-11T07:31:45.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/gto_point.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 2 | 2019-07-11T14:03:25.000Z | 2021-02-08T16:14:04.000Z | GZP_GTO_QGIS/INSTALLATION/GeoTaskOrganizer/gto_point.py | msgis/swwat-gzp-template | 080afbe9d49fb34ed60ba45654383d9cfca01e24 | [
"MIT"
] | 1 | 2019-06-12T11:07:37.000Z | 2019-06-12T11:07:37.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
# QDoubleValidator needs QValidator in qgis 3.4!
from PyQt5.QtCore import Qt, QLocale, pyqtSignal
from PyQt5.QtGui import QDoubleValidator
from PyQt5.QtWidgets import QWidget, QLabel, QLineEdit, QHBoxLayout, QToolButton, QToolBar, QComboBox, QDoubleSpinBox
from PyQ... | 41.061947 | 154 | 0.563524 | 1,926 | 18,560 | 5.36189 | 0.185358 | 0.027888 | 0.022369 | 0.033117 | 0.333495 | 0.275007 | 0.214777 | 0.1376 | 0.128498 | 0.086085 | 0 | 0.006297 | 0.332651 | 18,560 | 451 | 155 | 41.152993 | 0.827466 | 0.073707 | 0 | 0.32967 | 0 | 0 | 0.034593 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06044 | false | 0.002747 | 0.024725 | 0 | 0.090659 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68c9488a495919a38f2ff870419c8d832b14221b | 11,909 | py | Python | model/loss.py | arthurlirui/MVSDF | 0b1014682e9b5cd5a92fea715d26ebc9845da4bf | [
"MIT"
] | 76 | 2022-02-11T12:04:49.000Z | 2022-03-30T10:43:59.000Z | model/loss.py | arthurlirui/MVSDF | 0b1014682e9b5cd5a92fea715d26ebc9845da4bf | [
"MIT"
] | 1 | 2022-03-22T12:57:43.000Z | 2022-03-22T12:57:43.000Z | model/loss.py | arthurlirui/MVSDF | 0b1014682e9b5cd5a92fea715d26ebc9845da4bf | [
"MIT"
] | 4 | 2022-02-13T11:47:50.000Z | 2022-03-02T12:07:21.000Z | from numpy.lib.function_base import diff
import torch
from torch import nn
from torch.nn import functional as F
from itertools import accumulate
import numpy as np
import os
import importlib
from utils.my_utils import carving_t, carving_t2, FeatExt, get_in_range, idx_cam2img, idx_world2cam, normalize_for_grid... | 54.131818 | 237 | 0.591485 | 1,611 | 11,909 | 4.080074 | 0.130975 | 0.047163 | 0.038795 | 0.045489 | 0.60429 | 0.557584 | 0.493838 | 0.475734 | 0.465845 | 0.440286 | 0 | 0.028853 | 0.275338 | 11,909 | 219 | 238 | 54.378995 | 0.732793 | 0.065497 | 0 | 0.431953 | 0 | 0.011834 | 0.049185 | 0.005987 | 0 | 0 | 0 | 0.004566 | 0 | 1 | 0.047337 | false | 0 | 0.065089 | 0 | 0.183432 | 0.029586 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68c9ea4c15db64ff1e75a845e1e422b9fc6a1a9f | 682 | py | Python | list-users/list-users.py | nl-hugo/power-bi-snippets | 5d63f88526b8dc4241dd26301b4b8fd72096c822 | [
"MIT"
] | null | null | null | list-users/list-users.py | nl-hugo/power-bi-snippets | 5d63f88526b8dc4241dd26301b4b8fd72096c822 | [
"MIT"
] | null | null | null | list-users/list-users.py | nl-hugo/power-bi-snippets | 5d63f88526b8dc4241dd26301b4b8fd72096c822 | [
"MIT"
] | null | null | null | import argparse
from bs4 import BeautifulSoup
def list_users(file_name):
with open(file_name, 'r', encoding='utf-8') as f:
soup = BeautifulSoup(f.read(), 'html.parser')
for user in soup.find_all('li', class_='accessListData'):
user_name = user.find(class_='username').string
... | 27.28 | 75 | 0.64956 | 89 | 682 | 4.730337 | 0.550562 | 0.042755 | 0.057007 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003731 | 0.214076 | 682 | 24 | 76 | 28.416667 | 0.781716 | 0 | 0 | 0 | 0 | 0 | 0.184751 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.235294 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68cf170ee8230ba31ec966d1a0949d9a8190f908 | 6,614 | py | Python | module.py | Afvanjaffer/Image-translation- | a7b379ddd1fb3fa21a6f0a41fdb1ed986b5c68d7 | [
"MIT"
] | 9 | 2019-02-10T20:23:21.000Z | 2021-03-04T04:15:49.000Z | module.py | Afvanjaffer/Image-translation- | a7b379ddd1fb3fa21a6f0a41fdb1ed986b5c68d7 | [
"MIT"
] | 1 | 2020-05-07T05:55:24.000Z | 2020-05-07T05:55:24.000Z | module.py | Afvanjaffer/Image-translation- | a7b379ddd1fb3fa21a6f0a41fdb1ed986b5c68d7 | [
"MIT"
] | 4 | 2018-07-14T08:03:27.000Z | 2020-07-29T09:36:54.000Z |
import tensorflow as tf
def conv2d_layer(
inputs,
filters,
kernel_size = [4, 4],
strides = [2, 2],
padding = 'same',
activation = None,
kernel_initializer = tf.truncated_normal_initializer(stddev = 0.02),
name = None):
conv_layer = tf.layers.conv2d(
inputs = inputs,
... | 42.127389 | 171 | 0.638948 | 868 | 6,614 | 4.624424 | 0.142857 | 0.071251 | 0.076233 | 0.063029 | 0.598904 | 0.474838 | 0.358495 | 0.343797 | 0.336572 | 0.315147 | 0 | 0.044559 | 0.239946 | 6,614 | 156 | 172 | 42.397436 | 0.753929 | 0.03039 | 0 | 0.394495 | 0 | 0 | 0.057335 | 0 | 0 | 0 | 0 | 0 | 0.018349 | 1 | 0.055046 | false | 0 | 0.009174 | 0 | 0.119266 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68d55b5aefd614b22b142233553491d7448b67bf | 40,735 | py | Python | src/core/train.py | spencerpomme/GSPNet | ff165de95ec0f258ba444ff343d18d812a066b8f | [
"MIT"
] | null | null | null | src/core/train.py | spencerpomme/GSPNet | ff165de95ec0f258ba444ff343d18d812a066b8f | [
"MIT"
] | null | null | null | src/core/train.py | spencerpomme/GSPNet | ff165de95ec0f258ba444ff343d18d812a066b8f | [
"MIT"
] | null | null | null | '''
Copyright <2019> <COPYRIGHT Pingcheng Zhang>
Permission is hereby granted, free of charge, to any person obtaining a copy of
this software and associated documentation files (the "Software"), to deal in
the Software without restriction, including without limitation the rights to
use, copy, modify, merge, publish, ... | 33.037307 | 139 | 0.59455 | 5,086 | 40,735 | 4.597719 | 0.118364 | 0.01655 | 0.01129 | 0.015053 | 0.608621 | 0.577831 | 0.528182 | 0.496493 | 0.476437 | 0.452917 | 0 | 0.011208 | 0.301289 | 40,735 | 1,232 | 140 | 33.064123 | 0.810379 | 0.28489 | 0 | 0.542113 | 0 | 0.004594 | 0.124277 | 0.021215 | 0 | 0 | 0 | 0 | 0.003063 | 1 | 0.022971 | false | 0 | 0.032159 | 0 | 0.070444 | 0.059724 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68d59a01d4c210fcbd52841f20fd474a440205a5 | 7,727 | py | Python | tests/time_tests.py | ankpradh/parallel-composition-RE | 8e1d1df8a27951445fd1d80e89febba89d275fdf | [
"MIT"
] | null | null | null | tests/time_tests.py | ankpradh/parallel-composition-RE | 8e1d1df8a27951445fd1d80e89febba89d275fdf | [
"MIT"
] | null | null | null | tests/time_tests.py | ankpradh/parallel-composition-RE | 8e1d1df8a27951445fd1d80e89febba89d275fdf | [
"MIT"
] | null | null | null | import sys
import time
import random
sys.path.append("..")
from pympler import asizeof
from test_automata import *
# For computing average runtimes
def avg_tests(runs, test, string, test_num):
test_avg_runs = runs
test_Ptime = 0
test_Ctime = 0
if test.__name__ in ["test4", "test5"]:
test_Sti... | 30.662698 | 109 | 0.613045 | 1,083 | 7,727 | 4.270545 | 0.144044 | 0.072649 | 0.042378 | 0.034595 | 0.663784 | 0.595459 | 0.524541 | 0.471784 | 0.428541 | 0.390703 | 0 | 0.063358 | 0.236055 | 7,727 | 251 | 110 | 30.784861 | 0.720142 | 0.1531 | 0 | 0.557471 | 0 | 0 | 0.089834 | 0.016124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04023 | false | 0 | 0.028736 | 0 | 0.103448 | 0.109195 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68d6234592f2e3a24cd47ab684d14a6a36f999f3 | 4,815 | py | Python | language/evm/hardhat-examples/compile_move.py | lxfind/move | 2e7c37edada44436805e047dd26724a26c07635a | [
"Apache-2.0"
] | 63 | 2021-12-22T10:17:18.000Z | 2022-03-31T22:03:06.000Z | language/evm/hardhat-examples/compile_move.py | lxfind/move | 2e7c37edada44436805e047dd26724a26c07635a | [
"Apache-2.0"
] | 150 | 2021-11-04T20:16:14.000Z | 2022-03-31T23:00:21.000Z | language/evm/hardhat-examples/compile_move.py | lxfind/move | 2e7c37edada44436805e047dd26724a26c07635a | [
"Apache-2.0"
] | 63 | 2021-11-04T19:32:56.000Z | 2022-03-30T16:28:41.000Z | #!/usr/local/bin/python3
# This is a script to compile Move source code into artifacts that can be used for testing.
# Copy this to the root of your hardhat project to use it.
#
# Note: this is a temporary solution that will be phased out once we implement the Move plugin.
#
# Move code should be stored within the `co... | 27.672414 | 132 | 0.620561 | 623 | 4,815 | 4.624398 | 0.292135 | 0.059007 | 0.037487 | 0.01562 | 0.137452 | 0.091635 | 0.06942 | 0.052759 | 0.052759 | 0.027074 | 0 | 0.008741 | 0.239668 | 4,815 | 173 | 133 | 27.83237 | 0.778203 | 0.146833 | 0 | 0.142857 | 0 | 0.008929 | 0.151188 | 0.011517 | 0 | 0 | 0.00147 | 0 | 0 | 1 | 0.080357 | false | 0 | 0.0625 | 0 | 0.205357 | 0.116071 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68d99f26e2d322b5f1410136dc8d32fdc852ce2d | 4,497 | py | Python | tuiuiu/tuiuiuredirects/views.py | caputomarcos/tuiuiu.io | d8fb57cf95487e7fe1454b2130ef18acc916da46 | [
"BSD-3-Clause"
] | 3 | 2019-08-08T09:09:35.000Z | 2020-12-15T18:04:17.000Z | tuiuiu/tuiuiuredirects/views.py | caputomarcos/tuiuiu.io | d8fb57cf95487e7fe1454b2130ef18acc916da46 | [
"BSD-3-Clause"
] | null | null | null | tuiuiu/tuiuiuredirects/views.py | caputomarcos/tuiuiu.io | d8fb57cf95487e7fe1454b2130ef18acc916da46 | [
"BSD-3-Clause"
] | 1 | 2017-09-09T20:10:40.000Z | 2017-09-09T20:10:40.000Z | from __future__ import absolute_import, unicode_literals
from django.core.urlresolvers import reverse
from django.shortcuts import get_object_or_404, redirect, render
from django.utils.translation import ugettext as _
from django.views.decorators.vary import vary_on_headers
from tuiuiu.utils.pagination import paginat... | 35.690476 | 103 | 0.681565 | 483 | 4,497 | 6.165631 | 0.26087 | 0.033244 | 0.031901 | 0.057085 | 0.401276 | 0.390866 | 0.370047 | 0.314305 | 0.314305 | 0.243116 | 0 | 0.003368 | 0.207694 | 4,497 | 125 | 104 | 35.976 | 0.832445 | 0.022682 | 0 | 0.416667 | 0 | 0 | 0.153759 | 0.045786 | 0 | 0 | 0 | 0 | 0 | 1 | 0.041667 | false | 0 | 0.125 | 0 | 0.270833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68d9c2874c4137a2cc2a81b3b6c8979882134cbf | 2,639 | py | Python | fd_lib/feature_engineering.py | fdavidsen/Personal-Data-Science-Projects | 4167744295c96e3f984830b6203428ea41b111e7 | [
"MIT"
] | null | null | null | fd_lib/feature_engineering.py | fdavidsen/Personal-Data-Science-Projects | 4167744295c96e3f984830b6203428ea41b111e7 | [
"MIT"
] | null | null | null | fd_lib/feature_engineering.py | fdavidsen/Personal-Data-Science-Projects | 4167744295c96e3f984830b6203428ea41b111e7 | [
"MIT"
] | null | null | null | from itertools import combinations
from sklearn.base import BaseEstimator
from sklearn.base import TransformerMixin
class BestPair:
''' Find out the feature pairs with the highest correlation (positive and negative). '''
def __init__(self, X, y, how='product'):
self.X = X
self.y = y
... | 33.405063 | 102 | 0.530125 | 341 | 2,639 | 3.958944 | 0.240469 | 0.075556 | 0.053333 | 0.035556 | 0.282222 | 0.20963 | 0.185185 | 0.133333 | 0.133333 | 0.133333 | 0 | 0.009101 | 0.333839 | 2,639 | 79 | 103 | 33.405063 | 0.758817 | 0.050777 | 0 | 0.076923 | 0 | 0 | 0.058186 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.192308 | false | 0 | 0.057692 | 0.057692 | 0.384615 | 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 |
68da0b7e3b7b6e70fde041111bd397e4346b2c04 | 3,778 | py | Python | benchmarks/cocompilation_benchmarks.py | SanggunLee/edgetpu | d3cf166783265f475c1ddba5883e150ee84f7bfe | [
"Apache-2.0"
] | 2 | 2020-05-07T22:34:16.000Z | 2020-09-03T20:30:37.000Z | benchmarks/cocompilation_benchmarks.py | SanggunLee/edgetpu | d3cf166783265f475c1ddba5883e150ee84f7bfe | [
"Apache-2.0"
] | null | null | null | benchmarks/cocompilation_benchmarks.py | SanggunLee/edgetpu | d3cf166783265f475c1ddba5883e150ee84f7bfe | [
"Apache-2.0"
] | 1 | 2020-01-08T05:55:58.000Z | 2020-01-08T05:55:58.000Z | # Copyright 2019 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 34.981481 | 91 | 0.736633 | 531 | 3,778 | 5.043315 | 0.387947 | 0.036968 | 0.029126 | 0.037341 | 0.084018 | 0.060866 | 0.019417 | 0 | 0 | 0 | 0 | 0.014626 | 0.167549 | 3,778 | 107 | 92 | 35.308411 | 0.836884 | 0.454209 | 0 | 0 | 0 | 0 | 0.088367 | 0.031952 | 0 | 0 | 0 | 0 | 0.022222 | 1 | 0.044444 | false | 0 | 0.133333 | 0 | 0.2 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68da25d88380998dc70170f5b963f169ab2d9195 | 11,849 | py | Python | pygl.py | sidd5sci/game-engin | 8aa580ae79083c6420e004720ea91650029caf2c | [
"Apache-2.0"
] | null | null | null | pygl.py | sidd5sci/game-engin | 8aa580ae79083c6420e004720ea91650029caf2c | [
"Apache-2.0"
] | null | null | null | pygl.py | sidd5sci/game-engin | 8aa580ae79083c6420e004720ea91650029caf2c | [
"Apache-2.0"
] | null | null | null | #Import OpenGL and GLU. Don't import GLUT because it is ancient, broken, inflexible, and poorly
#designed--and we aren't using it.
from OpenGL.GL import *
from OpenGL.GLU import *
#Import PyGame. We'll mostly just use this to make a window. Also import all the local
#declarations (e.g. pygame.KEYDOWN, etc.), so that... | 54.856481 | 100 | 0.720314 | 1,923 | 11,849 | 4.382735 | 0.279771 | 0.013764 | 0.01317 | 0.011865 | 0.159587 | 0.14701 | 0.084124 | 0.048291 | 0.038206 | 0.022544 | 0 | 0.022412 | 0.197907 | 11,849 | 215 | 101 | 55.111628 | 0.864373 | 0.703941 | 0 | 0.091954 | 0 | 0 | 0.024823 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.068966 | 0 | 0.114943 | 0.011494 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68e1f5cc56b5a7a07848391ac060d809aa03eb20 | 6,827 | py | Python | cogdl/models/nn/pyg_gpt_gnn.py | zhangdan0602/cogdl | 35a338f29066e4b1a5d7f46217f09ebceaf13106 | [
"MIT"
] | null | null | null | cogdl/models/nn/pyg_gpt_gnn.py | zhangdan0602/cogdl | 35a338f29066e4b1a5d7f46217f09ebceaf13106 | [
"MIT"
] | null | null | null | cogdl/models/nn/pyg_gpt_gnn.py | zhangdan0602/cogdl | 35a338f29066e4b1a5d7f46217f09ebceaf13106 | [
"MIT"
] | null | null | null | from typing import Any, Union, Type, Optional
from cogdl.models import register_model
from cogdl.models.supervised_model import (
SupervisedHomogeneousNodeClassificationModel,
SupervisedHeterogeneousNodeClassificationModel,
)
from cogdl.trainers.gpt_gnn_trainer import (
GPT_GNNHomogeneousTrainer,
GPT_... | 32.509524 | 107 | 0.535228 | 721 | 6,827 | 4.871012 | 0.278779 | 0.056378 | 0.101651 | 0.030752 | 0.220387 | 0.198747 | 0.177677 | 0.09795 | 0.089408 | 0.045558 | 0 | 0.006113 | 0.35301 | 6,827 | 209 | 108 | 32.665072 | 0.788997 | 0.342464 | 0 | 0.305556 | 0 | 0 | 0.251699 | 0.006562 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0.027778 | 0.037037 | 0.018519 | 0.12037 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68edc1beb9d2bae550d0e6eb145fb0caa55200b1 | 2,663 | py | Python | hadoopCluster/hadoop.py | anycode-inc/TerminalUI-CGI | 8db7d19d25b0de6d599b9de8a4172d0668f4d688 | [
"MIT"
] | null | null | null | hadoopCluster/hadoop.py | anycode-inc/TerminalUI-CGI | 8db7d19d25b0de6d599b9de8a4172d0668f4d688 | [
"MIT"
] | null | null | null | hadoopCluster/hadoop.py | anycode-inc/TerminalUI-CGI | 8db7d19d25b0de6d599b9de8a4172d0668f4d688 | [
"MIT"
] | null | null | null | #!/usr/bin/python3
from jinja2 import Environment, FileSystemLoader
import subprocess
import cgi
print("content-type: text/html")
print()
mydata = cgi.FieldStorage()
namenode_ip = mydata.getvalue("namenode_ip")
namenode_port = mydata.getvalue("namenode_port")
namenode_directory = mydata.getvalue("namenode_directory... | 35.506667 | 96 | 0.733383 | 298 | 2,663 | 6.473154 | 0.244966 | 0.029031 | 0.02281 | 0.054432 | 0.411612 | 0.346293 | 0.327631 | 0.288232 | 0.273199 | 0.273199 | 0 | 0.002163 | 0.131806 | 2,663 | 74 | 97 | 35.986486 | 0.83218 | 0.006384 | 0 | 0.262295 | 0 | 0 | 0.220038 | 0.084688 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114754 | false | 0 | 0.04918 | 0 | 0.180328 | 0.04918 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68f2c194115b15d0b37b208d612c93ce0b1eb749 | 1,418 | py | Python | gs15_py/Inversion.py | Jajajzhh/Blockchain_EncryptionKasumi | 604352a804433e482d754ab928aaacfd70cada04 | [
"MIT"
] | null | null | null | gs15_py/Inversion.py | Jajajzhh/Blockchain_EncryptionKasumi | 604352a804433e482d754ab928aaacfd70cada04 | [
"MIT"
] | null | null | null | gs15_py/Inversion.py | Jajajzhh/Blockchain_EncryptionKasumi | 604352a804433e482d754ab928aaacfd70cada04 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
#Examples of irreductible polynomes 16 degree
#x^16 + x^9 + x^8 + x^7 + x^6 + x^4 + x^3 + x^2 + 1
#x^16 + x^12 + x^3 + x^1 + 1
#x^16 + x^12 + x^7 + x^2 + 1
from sympy.polys.domains import ZZ
from sympy.polys.galoistools import gf_gcdex, gf_strip
def gf_inv(a): # irriducible polynomial
... | 23.245902 | 111 | 0.504937 | 261 | 1,418 | 2.666667 | 0.295019 | 0.022989 | 0.022989 | 0.011494 | 0.12931 | 0.022989 | 0 | 0 | 0 | 0 | 0 | 0.112169 | 0.333568 | 1,418 | 60 | 112 | 23.633333 | 0.624339 | 0.245416 | 0 | 0.088889 | 0 | 0 | 0.007992 | 0 | 0 | 0 | 0.010989 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.044444 | 0 | 0.266667 | 0.044444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68f4f86882cc9b12d44b29372c5ed00acbd058e5 | 2,469 | py | Python | pic2formula/polyline.py | s-col/pic2formula | 0e254f98fca8dd22b5136d018cd33413baba85d5 | [
"MIT"
] | null | null | null | pic2formula/polyline.py | s-col/pic2formula | 0e254f98fca8dd22b5136d018cd33413baba85d5 | [
"MIT"
] | null | null | null | pic2formula/polyline.py | s-col/pic2formula | 0e254f98fca8dd22b5136d018cd33413baba85d5 | [
"MIT"
] | null | null | null | import math
import numpy as np
from scipy import interpolate
class Polyline(list):
@staticmethod
def _2Dcheck(value):
if len(value) != 2:
raise ValueError("Value must be 2-D.")
def __init__(self):
super().__init__()
def __setitem__(self, key, value):
... | 26.548387 | 63 | 0.45565 | 334 | 2,469 | 3.272455 | 0.260479 | 0.038426 | 0.008234 | 0.038426 | 0.247027 | 0.203111 | 0.164684 | 0.164684 | 0.164684 | 0.164684 | 0 | 0.032952 | 0.397732 | 2,469 | 92 | 64 | 26.836957 | 0.702085 | 0.002835 | 0 | 0.133333 | 0 | 0 | 0.029838 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0 | 0.04 | 0.026667 | 0.306667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
68fe5357f2994a0a75698eb8a8e7824b9a9f7c44 | 2,592 | py | Python | season_crawler.py | charmoky/f1_crawler | c4edec5d0a19283690347fc9ed21c454e5db2d4b | [
"MIT"
] | null | null | null | season_crawler.py | charmoky/f1_crawler | c4edec5d0a19283690347fc9ed21c454e5db2d4b | [
"MIT"
] | null | null | null | season_crawler.py | charmoky/f1_crawler | c4edec5d0a19283690347fc9ed21c454e5db2d4b | [
"MIT"
] | null | null | null |
import requests
from bs4 import BeautifulSoup
import lxml
import re
import ast
import urllib.parse as urllib
class season_crawler():
def __init__(self, url):
self.url = url
self.hostname = urllib.urlparse(url).hostname
self.source = requests.get(url).text
self.soup = BeautifulSoup(... | 28.483516 | 101 | 0.486497 | 305 | 2,592 | 4.019672 | 0.255738 | 0.057096 | 0.039152 | 0.04894 | 0.500816 | 0.500816 | 0.474715 | 0.4323 | 0.4323 | 0.4323 | 0 | 0.013201 | 0.415509 | 2,592 | 90 | 102 | 28.8 | 0.79604 | 0.050154 | 0 | 0.470588 | 0 | 0 | 0.055397 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044118 | false | 0 | 0.088235 | 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 |
68ffd02431b608770d9cb6427c85ad56bdc7189e | 1,921 | py | Python | cogs/clock/cog.py | DenverCoder1/weasley-chess-bot | 70d6250cf2eea4faceacf3a809f38d8cc6f19059 | [
"MIT"
] | 2 | 2021-05-05T16:06:38.000Z | 2021-05-05T19:21:30.000Z | cogs/clock/cog.py | DenverCoder1/weasley-chess-bot | 70d6250cf2eea4faceacf3a809f38d8cc6f19059 | [
"MIT"
] | 7 | 2021-06-22T21:36:29.000Z | 2022-01-21T19:15:58.000Z | cogs/clock/cog.py | DenverCoder1/weasley-chess-bot | 70d6250cf2eea4faceacf3a809f38d8cc6f19059 | [
"MIT"
] | null | null | null | import config
import discord
from discord.errors import HTTPException
from discord.ext import commands
from discord.ext.tasks import loop
from .clock import (
clock_embed,
get_or_create_message,
new_channel_name,
get_embed_title,
)
class Clock(commands.Cog, name="🕒 Clock"):
def __init__(self, bo... | 32.559322 | 84 | 0.645497 | 247 | 1,921 | 4.777328 | 0.327935 | 0.065254 | 0.027966 | 0.045763 | 0.09322 | 0.09322 | 0.09322 | 0.09322 | 0.09322 | 0.09322 | 0 | 0.000711 | 0.26809 | 1,921 | 58 | 85 | 33.12069 | 0.837838 | 0.150442 | 0 | 0.052632 | 0 | 0 | 0.034 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.263158 | 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 |
ec006c8af6686f4d727533bc4bdf28b8f92b3527 | 6,989 | py | Python | Ellie_Lambda_Introductory_Convo.py | dodobirb/Project_2_ETF_Lex_RoboAdvisor | f8e1a5143e74c0dc6f8bef1ed6d4b4fbd6c66739 | [
"MIT"
] | null | null | null | Ellie_Lambda_Introductory_Convo.py | dodobirb/Project_2_ETF_Lex_RoboAdvisor | f8e1a5143e74c0dc6f8bef1ed6d4b4fbd6c66739 | [
"MIT"
] | null | null | null | Ellie_Lambda_Introductory_Convo.py | dodobirb/Project_2_ETF_Lex_RoboAdvisor | f8e1a5143e74c0dc6f8bef1ed6d4b4fbd6c66739 | [
"MIT"
] | null | null | null | ### Required Libraries ###
from datetime import datetime
from dateutil.relativedelta import relativedelta
from botocore.vendored import requests
### Functionality Helper Functions ###
def parse_float(n):
"""
Securely converts a non-numeric value to float.
"""
try:
return float(n)
... | 31.624434 | 126 | 0.593075 | 740 | 6,989 | 5.45 | 0.312162 | 0.067692 | 0.027771 | 0.041656 | 0.216464 | 0.159683 | 0.147781 | 0.104637 | 0.086784 | 0.051079 | 0 | 0.008166 | 0.31664 | 6,989 | 220 | 127 | 31.768182 | 0.836265 | 0.201889 | 0 | 0.219512 | 0 | 0.01626 | 0.191939 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081301 | false | 0 | 0.02439 | 0 | 0.243902 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec01276c37a7b31604c880dcb9890eab8f123340 | 876 | py | Python | Algoritma/radixSort.py | SyamsulAlterra/Alta | 13e8c185e91414e3f46e5d20f39370f8e58e7cd0 | [
"MIT"
] | null | null | null | Algoritma/radixSort.py | SyamsulAlterra/Alta | 13e8c185e91414e3f46e5d20f39370f8e58e7cd0 | [
"MIT"
] | 6 | 2021-09-02T18:50:40.000Z | 2022-02-27T11:06:31.000Z | Algoritma/radixSort.py | SyamsulAlterra/Alta | 13e8c185e91414e3f46e5d20f39370f8e58e7cd0 | [
"MIT"
] | null | null | null | arr=[123,321,487,908,123,465,987,46,762,12389]
def findMax(arr):
Max=None
for num in arr:
if Max==None or num>Max:
Max=num
return Max
def checkDigit(num):
i=0
remainder=0
while (remainder!=num):
i+=1
remainder=num%(10**i)
return i
def digit(i,num):
... | 21.365854 | 57 | 0.515982 | 114 | 876 | 3.964912 | 0.333333 | 0.026549 | 0.039823 | 0.048673 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078073 | 0.312785 | 876 | 40 | 58 | 21.9 | 0.672757 | 0 | 0 | 0.058824 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0 | 0.029412 | 0.235294 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec029f2e7581e96d907379e0c7b77a55feafa39c | 577 | py | Python | users/urls.py | pauloaugusto-dmf/blog_django | 7374e85dd4f0622aefbbb99d27ceb85f19fd1cd8 | [
"MIT"
] | 2 | 2021-12-31T22:14:31.000Z | 2021-12-31T22:14:34.000Z | users/urls.py | pauloaugusto-dmf/blog_django | 7374e85dd4f0622aefbbb99d27ceb85f19fd1cd8 | [
"MIT"
] | null | null | null | users/urls.py | pauloaugusto-dmf/blog_django | 7374e85dd4f0622aefbbb99d27ceb85f19fd1cd8 | [
"MIT"
] | null | null | null | from django.urls import path
from .views import (
UserLoginView,
UserLogoutView,
UserSignupView,
UserUpdateView,
UserDeleteView,
UserProfileView,
)
app_name = "user"
urlpatterns = [
path("signup", UserSignupView.as_view(), name="signup"),
path("update", UserUpdateView.as_view(), name=... | 26.227273 | 63 | 0.679376 | 60 | 577 | 6.416667 | 0.4 | 0.093506 | 0.155844 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157712 | 577 | 21 | 64 | 27.47619 | 0.792181 | 0 | 0 | 0 | 0 | 0 | 0.131716 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec03beeeb8e83dd9401f7dcd95618bf9eb96ca5c | 7,232 | py | Python | utils/image_processing.py | ebritsyn/obormot | de05707d0a9b7a8de813ee8e1104dea02caeb236 | [
"MIT"
] | 3 | 2017-12-09T16:16:18.000Z | 2020-05-05T12:01:53.000Z | utils/image_processing.py | ebritsyn/obormot | de05707d0a9b7a8de813ee8e1104dea02caeb236 | [
"MIT"
] | null | null | null | utils/image_processing.py | ebritsyn/obormot | de05707d0a9b7a8de813ee8e1104dea02caeb236 | [
"MIT"
] | null | null | null | import io
import cv2
import numpy as np
import tensorflow as tf
from PIL import Image
from keras.models import model_from_json
import dlib
class Model:
"""This class represents the base model of the whole project. The model
predicts if the face on the picture is smiling or not. The model and
its weights a... | 33.953052 | 86 | 0.552683 | 971 | 7,232 | 3.955716 | 0.183316 | 0.040614 | 0.007029 | 0.004166 | 0.145795 | 0.102317 | 0.063525 | 0.049987 | 0.023952 | 0.023952 | 0 | 0.029914 | 0.343612 | 7,232 | 212 | 87 | 34.113208 | 0.779229 | 0.215431 | 0 | 0.093023 | 0 | 0 | 0.016849 | 0.016083 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085271 | false | 0 | 0.054264 | 0 | 0.232558 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec05ae5f172a76ae27b1aab78fa3fe888df7828e | 30,898 | py | Python | antipetros_discordbot/cogs/general_cogs/image_manipulation_cog.py | official-antistasi-community/Antipetros_Discord_Bot | 1b5c8b61c09e61cdff671e259f0478d343a50c8d | [
"MIT"
] | null | null | null | antipetros_discordbot/cogs/general_cogs/image_manipulation_cog.py | official-antistasi-community/Antipetros_Discord_Bot | 1b5c8b61c09e61cdff671e259f0478d343a50c8d | [
"MIT"
] | null | null | null | antipetros_discordbot/cogs/general_cogs/image_manipulation_cog.py | official-antistasi-community/Antipetros_Discord_Bot | 1b5c8b61c09e61cdff671e259f0478d343a50c8d | [
"MIT"
] | 1 | 2021-02-12T01:10:51.000Z | 2021-02-12T01:10:51.000Z |
# region [Imports]
# * Standard Library Imports ---------------------------------------------------------------------------->
import os
import asyncio
from io import BytesIO
from pathlib import Path
from datetime import datetime
from tempfile import TemporaryDirectory
# * Third Party Imports ------------------------... | 49.122417 | 214 | 0.643472 | 3,746 | 30,898 | 5.022424 | 0.139349 | 0.043585 | 0.015148 | 0.020198 | 0.422505 | 0.347348 | 0.323057 | 0.288668 | 0.274158 | 0.246784 | 0 | 0.009874 | 0.242831 | 30,898 | 628 | 215 | 49.200637 | 0.794315 | 0.073144 | 0 | 0.280822 | 0 | 0.006849 | 0.092456 | 0.01625 | 0 | 0 | 0 | 0.003185 | 0 | 1 | 0.057078 | false | 0 | 0.052511 | 0.011416 | 0.212329 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec085bbbaef39f0640fc7171919973e59bcfe3fd | 885 | py | Python | exe84.py | henrique-alvaro/EXERCICIOS | dd2509a682009ee4a01f0ca346d960ab09cc284b | [
"MIT"
] | null | null | null | exe84.py | henrique-alvaro/EXERCICIOS | dd2509a682009ee4a01f0ca346d960ab09cc284b | [
"MIT"
] | null | null | null | exe84.py | henrique-alvaro/EXERCICIOS | dd2509a682009ee4a01f0ca346d960ab09cc284b | [
"MIT"
] | null | null | null | reserva = list()
principal = list()
maior = menor = 0
while True:
reserva.append(str(input('Nome: ')))
reserva.append(float(input('Peso: ')))
if len(principal) == 0:
maior = menor = reserva[1]
else:
if reserva[1] > maior:
maior = reserva[1]
if reserva[1] < menor:
... | 26.818182 | 69 | 0.542373 | 126 | 885 | 3.809524 | 0.349206 | 0.083333 | 0.054167 | 0.05 | 0.183333 | 0.183333 | 0.116667 | 0.116667 | 0.116667 | 0.116667 | 0 | 0.021572 | 0.266667 | 885 | 32 | 70 | 27.65625 | 0.718028 | 0 | 0 | 0.1875 | 0 | 0 | 0.19096 | 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 |
ec09685680a3107d366ed078bdbf9404ece34bc4 | 1,560 | py | Python | ws2122-lspm/Lib/site-packages/pm4py/algo/discovery/alpha/utils/endpoints.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-19T04:02:46.000Z | 2022-01-19T04:02:46.000Z | ws2122-lspm/Lib/site-packages/pm4py/algo/discovery/alpha/utils/endpoints.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2021-11-19T07:21:48.000Z | 2021-11-19T07:21:48.000Z | ws2122-lspm/Lib/site-packages/pm4py/algo/discovery/alpha/utils/endpoints.py | Malekhy/ws2122-lspm | e4dc8b801d12f862b8ef536a0f125f346f085a00 | [
"MIT"
] | 1 | 2022-01-14T17:15:38.000Z | 2022-01-14T17:15:38.000Z | '''
This file is part of PM4Py (More Info: https://pm4py.fit.fraunhofer.de).
PM4Py is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any late... | 24.761905 | 76 | 0.604487 | 218 | 1,560 | 4.252294 | 0.422018 | 0.118662 | 0.073355 | 0.061489 | 0.420712 | 0.36246 | 0.30205 | 0.222222 | 0.222222 | 0.222222 | 0 | 0.011029 | 0.302564 | 1,560 | 62 | 77 | 25.16129 | 0.840993 | 0.616026 | 0 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec0b058f553343a897e71eea532d993fcfa42a8b | 926 | py | Python | ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/tests/test_add_record_id.py | jerrypeng7773/amazon-sagemaker-examples | c5ddecce1f739a345465b9a38b064983a129141d | [
"Apache-2.0"
] | 2,610 | 2020-10-01T14:14:53.000Z | 2022-03-31T18:02:31.000Z | ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/tests/test_add_record_id.py | jerrypeng7773/amazon-sagemaker-examples | c5ddecce1f739a345465b9a38b064983a129141d | [
"Apache-2.0"
] | 1,959 | 2020-09-30T20:22:42.000Z | 2022-03-31T23:58:37.000Z | ground_truth_labeling_jobs/bring_your_own_model_for_sagemaker_labeling_workflows_with_active_learning/src/tests/test_add_record_id.py | jerrypeng7773/amazon-sagemaker-examples | c5ddecce1f739a345465b9a38b064983a129141d | [
"Apache-2.0"
] | 2,052 | 2020-09-30T22:11:46.000Z | 2022-03-31T23:02:51.000Z | import boto3
from Bootstrap.add_record_id import lambda_handler
from moto import mock_s3
@mock_s3
def test_add_record_id():
manifest_content = b'{"source":"Fed revises guidelines sending stocks up."}\n{"source": "Review Guardians of the Galaxy"}'
s3r = boto3.resource("s3", region_name="us-east-1")
s3r.cre... | 37.04 | 155 | 0.708423 | 125 | 926 | 5.04 | 0.416 | 0.095238 | 0.107937 | 0.15873 | 0.473016 | 0.473016 | 0.238095 | 0.133333 | 0 | 0 | 0 | 0.020151 | 0.142549 | 926 | 24 | 156 | 38.583333 | 0.7733 | 0 | 0 | 0 | 0 | 0.117647 | 0.426566 | 0.071274 | 0 | 0 | 0 | 0 | 0.117647 | 1 | 0.058824 | false | 0 | 0.176471 | 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 |
ec0f9ff9cd997919f338a2ecbd614e9c94929507 | 828 | py | Python | pages/homepage.py | kriss-u/selenium-python-framework | d4f6416de25c955861f6d8a099a780c702693b63 | [
"MIT"
] | null | null | null | pages/homepage.py | kriss-u/selenium-python-framework | d4f6416de25c955861f6d8a099a780c702693b63 | [
"MIT"
] | 6 | 2021-04-26T16:12:48.000Z | 2021-04-29T17:05:33.000Z | pages/homepage.py | kriss-u/selenium-python-framework | d4f6416de25c955861f6d8a099a780c702693b63 | [
"MIT"
] | null | null | null | from selenium.webdriver.common.by import By
from utilities import find_all_contains_text
from utilities import find_one_present
from utilities import wait
class Homepage:
def __init__(self, driver, base_url, timeout=10):
self.driver = driver
self.base_url = base_url
self.wait = wait(drive... | 30.666667 | 89 | 0.669082 | 112 | 828 | 4.714286 | 0.383929 | 0.113636 | 0.107955 | 0.087121 | 0.102273 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003053 | 0.208937 | 828 | 26 | 90 | 31.846154 | 0.803053 | 0 | 0 | 0.1 | 0 | 0 | 0.103865 | 0.030193 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 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 |
ec12e98cc644839d7e6aaadb7ca7b24595f6ffa0 | 8,897 | py | Python | main/page/foreign_transfer.py | keith-lewis100/pont-workbench | 010716e115c47ca881645800befffcc97d07f638 | [
"MIT"
] | null | null | null | main/page/foreign_transfer.py | keith-lewis100/pont-workbench | 010716e115c47ca881645800befffcc97d07f638 | [
"MIT"
] | null | null | null | main/page/foreign_transfer.py | keith-lewis100/pont-workbench | 010716e115c47ca881645800befffcc97d07f638 | [
"MIT"
] | null | null | null | #_*_ coding: UTF-8 _*_
from flask import request, redirect, render_template
from application import app
import wtforms
import db
import data_models
import mailer
import renderers
import properties
import views
from role_types import RoleType
import urls
from . import grants
from . import purchases
STATE_REQUESTED =... | 46.098446 | 112 | 0.725188 | 1,063 | 8,897 | 5.780809 | 0.171214 | 0.021155 | 0.037754 | 0.009764 | 0.237592 | 0.177543 | 0.109845 | 0.089504 | 0.046216 | 0.030269 | 0 | 0.000961 | 0.18096 | 8,897 | 192 | 113 | 46.338542 | 0.842185 | 0.00236 | 0 | 0.10303 | 0 | 0 | 0.063331 | 0.005973 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072727 | false | 0 | 0.078788 | 0 | 0.254545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec1403cf6f7b91861d5877a772a1b93da4045f15 | 2,332 | py | Python | finite_element_networks/lightning/data/common.py | martenlienen/finite-element-networks | 5e8f6ecc473d1e93ccf366fcc45a47b08492ffde | [
"MIT"
] | 5 | 2022-03-21T12:39:01.000Z | 2022-03-31T06:02:01.000Z | finite_element_networks/lightning/data/common.py | martenlienen/finite-element-networks | 5e8f6ecc473d1e93ccf366fcc45a47b08492ffde | [
"MIT"
] | null | null | null | finite_element_networks/lightning/data/common.py | martenlienen/finite-element-networks | 5e8f6ecc473d1e93ccf366fcc45a47b08492ffde | [
"MIT"
] | 1 | 2022-03-26T02:58:58.000Z | 2022-03-26T02:58:58.000Z | from dataclasses import dataclass
from typing import Callable, Optional
import numpy as np
from scipy.spatial import Delaunay
from ...data import TimeEncoder
from ...domain import (
BoundaryAnglePredicate,
CellPredicate,
Domain,
select_boundary_mesh_cells,
)
@dataclass(frozen=True)
class MeshConfig:... | 27.435294 | 85 | 0.690823 | 300 | 2,332 | 5.283333 | 0.423333 | 0.030284 | 0.022713 | 0.029022 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004425 | 0.2247 | 2,332 | 84 | 86 | 27.761905 | 0.872235 | 0.268868 | 0 | 0 | 0 | 0 | 0.00672 | 0 | 0 | 0 | 0 | 0 | 0.021277 | 1 | 0.085106 | false | 0 | 0.170213 | 0.06383 | 0.425532 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec15071df1bf9ea9d459a13a9ce32f102c847633 | 1,245 | py | Python | DataProcess/community_detection.py | teamclouday/Mooner | ed7deed101e92b1d8f5ec47091cdbdadb2c1159c | [
"MIT"
] | null | null | null | DataProcess/community_detection.py | teamclouday/Mooner | ed7deed101e92b1d8f5ec47091cdbdadb2c1159c | [
"MIT"
] | null | null | null | DataProcess/community_detection.py | teamclouday/Mooner | ed7deed101e92b1d8f5ec47091cdbdadb2c1159c | [
"MIT"
] | null | null | null | import os
import community
import pandas as pd
import networkx as nx
graphdf = pd.read_csv(os.path.join("..", "NetworkData", "fetchcontent.csv"))
G = nx.from_pandas_edgelist(graphdf)
partition = community.best_partition(G)
# following code comes from https://medium.com/@adityagandhi.7/network-analysis-and-community-... | 36.617647 | 162 | 0.767871 | 176 | 1,245 | 5.255682 | 0.488636 | 0.058378 | 0.045405 | 0.054054 | 0.058378 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009042 | 0.111647 | 1,245 | 34 | 163 | 36.617647 | 0.827306 | 0.268273 | 0 | 0 | 0 | 0 | 0.104741 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.181818 | 0 | 0.181818 | 0.045455 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec18386bf1e4f992e71d8f27e8056dac7297cb93 | 1,404 | py | Python | getFileList.py | DoJing/hd3 | 124b1b169422898830d2cd602cf6e074f1238b6f | [
"BSD-3-Clause"
] | null | null | null | getFileList.py | DoJing/hd3 | 124b1b169422898830d2cd602cf6e074f1238b6f | [
"BSD-3-Clause"
] | null | null | null | getFileList.py | DoJing/hd3 | 124b1b169422898830d2cd602cf6e074f1238b6f | [
"BSD-3-Clause"
] | null | null | null | import os
import cv2
def ListFilesToTxt(dir,file,wildcard,recursion):
file_list=[]
exts = wildcard.split(" ")
files = os.listdir(dir)
for name in files:
fullname=os.path.join(dir,name)
if(os.path.isdir(fullname) & recursion):
ListFilesToTxt(fullname,file,wildcard,recursion)
... | 29.87234 | 92 | 0.581909 | 178 | 1,404 | 4.539326 | 0.404494 | 0.089109 | 0.044554 | 0.066832 | 0.153465 | 0.056931 | 0.056931 | 0.056931 | 0 | 0 | 0 | 0.021912 | 0.2849 | 1,404 | 46 | 93 | 30.521739 | 0.782869 | 0.01567 | 0 | 0 | 0 | 0 | 0.094271 | 0.028281 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.05 | 0 | 0.1 | 0.025 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec18cd1695ba62deebb499631731dcc890f6543b | 7,647 | py | Python | Lib/site-packages/ginga/canvas/transform.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | null | null | null | Lib/site-packages/ginga/canvas/transform.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | 20 | 2021-05-03T18:02:23.000Z | 2022-03-12T12:01:04.000Z | Lib/site-packages/ginga/canvas/transform.py | fochoao/cpython | 3dc84b260e5bced65ebc2c45c40c8fa65f9b5aa9 | [
"bzip2-1.0.6",
"0BSD"
] | null | null | null | #
# transform.py -- coordinate transforms for Ginga
#
# This is open-source software licensed under a BSD license.
# Please see the file LICENSE.txt for details.
#
import numpy as np
from ginga import trcalc
__all__ = ['TransformError', 'BaseTransform', 'ComposedTransform',
'CanvasWindowTransform', 'Cartes... | 28.427509 | 78 | 0.613574 | 1,058 | 7,647 | 4.135161 | 0.169187 | 0.077714 | 0.0336 | 0.032914 | 0.465371 | 0.403886 | 0.383314 | 0.294857 | 0.221029 | 0.1712 | 0 | 0.003849 | 0.286518 | 7,647 | 268 | 79 | 28.533582 | 0.798021 | 0.212109 | 0 | 0.442177 | 0 | 0 | 0.059418 | 0.011473 | 0 | 0 | 0 | 0 | 0 | 1 | 0.190476 | false | 0.006803 | 0.013605 | 0.027211 | 0.394558 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec1e30101ec04ff986f4f441cf6da3dbede160cc | 13,178 | py | Python | src/mvnfeed_modules/mvnfeed-cli-transfer/mvnfeed/cli/transfer/transfer.py | Bhaskers-Blu-Org2/mvnfeed-cli | cf4b43e300edee8f5bc64de9bcf1faf924fa2737 | [
"MIT"
] | 8 | 2019-08-05T20:28:45.000Z | 2021-09-02T09:20:59.000Z | src/mvnfeed_modules/mvnfeed-cli-transfer/mvnfeed/cli/transfer/transfer.py | Bhaskers-Blu-Org2/mvnfeed-cli | cf4b43e300edee8f5bc64de9bcf1faf924fa2737 | [
"MIT"
] | 3 | 2019-07-31T10:12:52.000Z | 2021-09-13T12:01:51.000Z | src/mvnfeed_modules/mvnfeed-cli-transfer/mvnfeed/cli/transfer/transfer.py | easterapps/mvnfeed-cli | cf4b43e300edee8f5bc64de9bcf1faf924fa2737 | [
"MIT"
] | 11 | 2019-07-31T12:58:14.000Z | 2021-09-13T12:50:21.000Z | # --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... | 39.573574 | 113 | 0.635074 | 1,493 | 13,178 | 5.427328 | 0.179504 | 0.035542 | 0.029619 | 0.026657 | 0.429224 | 0.365173 | 0.346168 | 0.338887 | 0.291127 | 0.269036 | 0 | 0.00522 | 0.258613 | 13,178 | 332 | 114 | 39.692771 | 0.824156 | 0.164744 | 0 | 0.366812 | 0 | 0 | 0.127828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048035 | false | 0 | 0.043668 | 0.017467 | 0.144105 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec1ee81ce412cde25b50543e502ef0e9f4204892 | 16,523 | py | Python | portal/models/intervention.py | uwcirg/true_nth_usa_portal | e2434731aed86f1c43f15d428dde8ffc28ac7e5f | [
"BSD-3-Clause"
] | 3 | 2017-01-15T10:11:57.000Z | 2018-10-02T23:46:44.000Z | portal/models/intervention.py | uwcirg/true_nth_usa_portal | e2434731aed86f1c43f15d428dde8ffc28ac7e5f | [
"BSD-3-Clause"
] | 876 | 2016-04-04T20:45:11.000Z | 2019-02-28T00:10:36.000Z | portal/models/intervention.py | uwcirg/truenth-portal | 459a0d157982f010175c50b9cccd860a61790370 | [
"BSD-3-Clause"
] | 9 | 2016-04-13T01:18:55.000Z | 2018-09-19T20:44:23.000Z | """Intervention Module"""
from flask import current_app
from sqlalchemy import and_
from sqlalchemy.dialects.postgresql import ENUM
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.orm.exc import NoResultFound
from werkzeug.exceptions import BadRequest
from ..database import db
from ..dict_tools impor... | 38.159353 | 79 | 0.651516 | 2,025 | 16,523 | 5.163457 | 0.204938 | 0.013389 | 0.018171 | 0.014728 | 0.294855 | 0.252295 | 0.215092 | 0.190704 | 0.158569 | 0.14365 | 0 | 0.00264 | 0.266417 | 16,523 | 432 | 80 | 38.247685 | 0.859995 | 0.29468 | 0 | 0.256098 | 0 | 0 | 0.152304 | 0.011864 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089431 | false | 0 | 0.04878 | 0.00813 | 0.349594 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec1f0874784570485a2cb6d70a6752e769ab9710 | 3,156 | py | Python | utils/extract_features.py | ArjitJ/tbd-nets | 8e93ecad54489706ec3249c9ca5d345d6866e1ba | [
"MIT"
] | 371 | 2018-03-15T00:26:23.000Z | 2022-03-30T14:32:48.000Z | utils/extract_features.py | ArjitJ/tbd-nets | 8e93ecad54489706ec3249c9ca5d345d6866e1ba | [
"MIT"
] | 14 | 2018-03-23T08:03:02.000Z | 2022-02-06T18:39:05.000Z | utils/extract_features.py | ArjitJ/tbd-nets | 8e93ecad54489706ec3249c9ca5d345d6866e1ba | [
"MIT"
] | 81 | 2018-03-15T00:54:46.000Z | 2021-12-07T16:09:58.000Z | # DISTRIBUTION STATEMENT A. Approved for public release: distribution unlimited.
#
# This material is based upon work supported by the Assistant Secretary of Defense for Research and
# Engineering under Air Force Contract No. FA8721-05-C-0002 and/or FA8702-15-D-0001. Any opinions,
# findings, conclusions or recommendat... | 36.697674 | 100 | 0.695501 | 468 | 3,156 | 4.653846 | 0.455128 | 0.018365 | 0.016529 | 0.02112 | 0.080808 | 0.050505 | 0.050505 | 0.050505 | 0.050505 | 0 | 0 | 0.063669 | 0.203739 | 3,156 | 85 | 101 | 37.129412 | 0.802626 | 0.630228 | 0 | 0.086957 | 0 | 0 | 0.016441 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.173913 | 0 | 0.347826 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec1feb9807faf84631629db4a3a466c150882506 | 14,080 | py | Python | ai_solutions/maze_solver.py | zerobits01/AI-Project | 68d5e7a8b2c826644683a08e916f961f878d218f | [
"MIT"
] | null | null | null | ai_solutions/maze_solver.py | zerobits01/AI-Project | 68d5e7a8b2c826644683a08e916f961f878d218f | [
"MIT"
] | null | null | null | ai_solutions/maze_solver.py | zerobits01/AI-Project | 68d5e7a8b2c826644683a08e916f961f878d218f | [
"MIT"
] | null | null | null | import sys
import collections
from queue import PriorityQueue
from itertools import count
from ai_solutions.graph_node import GraphNode
class MazeSolver:
'''
this class is for solving the maze question
using three algorithms:
- BFS
- IDS
- A*
'''
def __init__(self, s... | 34.594595 | 100 | 0.464063 | 1,488 | 14,080 | 4.283602 | 0.147177 | 0.060402 | 0.015061 | 0.027612 | 0.512708 | 0.478506 | 0.451365 | 0.387041 | 0.376373 | 0.360998 | 0 | 0.019719 | 0.438139 | 14,080 | 406 | 101 | 34.679803 | 0.785994 | 0.144815 | 0 | 0.562232 | 0 | 0 | 0.027379 | 0.008259 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038627 | false | 0 | 0.021459 | 0 | 0.184549 | 0.150215 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec212b4bab89667f0bd94d6a9a7ed05d39f3098c | 4,998 | py | Python | examples/development/simulate_policy_with_state.py | zhanghc12/mopo | f6db90f55ca6becbc34988b88404b289699637da | [
"MIT"
] | 107 | 2020-09-07T01:06:37.000Z | 2022-03-31T04:16:51.000Z | examples/development/simulate_policy_with_state.py | zhanghc12/mopo | f6db90f55ca6becbc34988b88404b289699637da | [
"MIT"
] | 9 | 2020-09-09T06:49:03.000Z | 2022-03-25T18:19:57.000Z | examples/development/simulate_policy_with_state.py | zhanghc12/mopo | f6db90f55ca6becbc34988b88404b289699637da | [
"MIT"
] | 29 | 2020-09-10T16:26:33.000Z | 2022-03-16T08:15:41.000Z | import argparse
from distutils.util import strtobool
import json
import os
import pickle
import numpy as np
import tensorflow as tf
import pdb
from softlearning.environments.utils import get_environment_from_params
from softlearning.policies.utils import get_policy_from_variant
# from softlearning.samplers import rol... | 31.2375 | 88 | 0.622649 | 571 | 4,998 | 5.238179 | 0.285464 | 0.033434 | 0.028419 | 0.016048 | 0.013373 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003012 | 0.269308 | 4,998 | 159 | 89 | 31.433962 | 0.815991 | 0.02401 | 0 | 0.065041 | 0 | 0 | 0.088798 | 0 | 0 | 0 | 0 | 0 | 0.00813 | 1 | 0.03252 | false | 0.00813 | 0.105691 | 0 | 0.170732 | 0.04065 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec21a2f2b80af73693b16e92ab450451f7f0d1b4 | 2,566 | py | Python | test_mask_rcnn_bdd.py | sxhxliang/challenagerAI-gluon-cv | a0018adad887e9045d3d356b8eb16372323888bf | [
"Apache-2.0"
] | 1 | 2019-12-17T14:18:00.000Z | 2019-12-17T14:18:00.000Z | test_mask_rcnn_bdd.py | sxhxliang/challenagerAI-gluon-cv | a0018adad887e9045d3d356b8eb16372323888bf | [
"Apache-2.0"
] | 1 | 2019-04-29T04:05:51.000Z | 2019-04-29T04:05:51.000Z | test_mask_rcnn_bdd.py | AaronLeong/challenagerAI-gluon-cv | a0018adad887e9045d3d356b8eb16372323888bf | [
"Apache-2.0"
] | 1 | 2019-04-28T11:53:40.000Z | 2019-04-28T11:53:40.000Z | from matplotlib import pyplot as plt
from gluoncv import model_zoo, data, utils
import mxnet as mx
import numpy as np
from PIL import Image
import json
from tqdm import tqdm
# epoch = 1
save_path = '/data1/datasets/bdd100k/testB_result/'
test_path = '/data1/datasets/bdd100k/images/100k/test2018/'
test_json = []
CLAS... | 33.763158 | 111 | 0.622759 | 368 | 2,566 | 4.127717 | 0.415761 | 0.02765 | 0.029625 | 0.0316 | 0.026333 | 0.026333 | 0 | 0 | 0 | 0 | 0 | 0.039634 | 0.233048 | 2,566 | 75 | 112 | 34.213333 | 0.732215 | 0.064302 | 0 | 0 | 0 | 0 | 0.145668 | 0.084973 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019608 | false | 0 | 0.137255 | 0 | 0.156863 | 0.019608 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec21accf9670823d9e86649f1391298f34bb5e19 | 300 | py | Python | boj/1110.py | byeonggukgong/algorithm | d9283fdbcfe4966cd4de3e394d9fd3aa33d533a8 | [
"MIT"
] | 3 | 2018-03-11T14:10:59.000Z | 2019-01-23T12:34:27.000Z | boj/1110.py | byeonggukgong/algorithm | d9283fdbcfe4966cd4de3e394d9fd3aa33d533a8 | [
"MIT"
] | null | null | null | boj/1110.py | byeonggukgong/algorithm | d9283fdbcfe4966cd4de3e394d9fd3aa33d533a8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
if __name__ == '__main__':
input = int(input())
output = 0
temp = input
while True:
temp = temp % 10 * 10 + (int(temp / 10) + temp % 10) % 10
output += 1
if input == temp:
break
print(output)
| 18.75 | 65 | 0.43 | 33 | 300 | 3.666667 | 0.515152 | 0.14876 | 0.132231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076471 | 0.433333 | 300 | 15 | 66 | 20 | 0.635294 | 0.07 | 0 | 0 | 0 | 0 | 0.028881 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
ec21d79eb0f508eab1e4d4b450e489d5d2153f80 | 1,222 | py | Python | data_load.py | IdanAzuri/tensorflow-generative-model-collections | 321f45f6dc0e7d4321b35a32e2eb7e864c9e0546 | [
"Apache-2.0"
] | null | null | null | data_load.py | IdanAzuri/tensorflow-generative-model-collections | 321f45f6dc0e7d4321b35a32e2eb7e864c9e0546 | [
"Apache-2.0"
] | null | null | null | data_load.py | IdanAzuri/tensorflow-generative-model-collections | 321f45f6dc0e7d4321b35a32e2eb7e864c9e0546 | [
"Apache-2.0"
] | null | null | null | from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import scipy.misc
import glob
import scipy
import utils
import tensorflow as tf
""" param """
epoch = 50
batch_size = 64
lr = 0.0002
z_dim = 100
n_critic = 5
gpu_id = 3
''' data '''
# you should prepare yo... | 22.62963 | 117 | 0.739771 | 203 | 1,222 | 4.17734 | 0.472906 | 0.04717 | 0.056604 | 0.028302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.048113 | 0.13257 | 1,222 | 53 | 118 | 23.056604 | 0.751887 | 0.107201 | 0 | 0.0625 | 0 | 0 | 0.035849 | 0.029245 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.25 | 0 | 0.3125 | 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 |
ec2b8f23f26b48259c53767971ede949f67de8b4 | 3,221 | py | Python | xcube/core/gen2/local/writer.py | bcdev/xcube | 9d275ef3baef8fbcea5c1fbbfb84c3d0164aecd3 | [
"MIT"
] | 97 | 2018-06-26T13:02:55.000Z | 2022-03-26T21:03:13.000Z | xcube/core/gen2/local/writer.py | bcdev/xcube | 9d275ef3baef8fbcea5c1fbbfb84c3d0164aecd3 | [
"MIT"
] | 524 | 2018-11-09T12:00:08.000Z | 2022-03-31T17:00:13.000Z | xcube/core/gen2/local/writer.py | bcdev/xcube | 9d275ef3baef8fbcea5c1fbbfb84c3d0164aecd3 | [
"MIT"
] | 15 | 2019-07-09T08:46:03.000Z | 2022-02-07T18:47:34.000Z | # The MIT License (MIT)
# Copyright (c) 2021 by the xcube development team and contributors
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without limitation... | 43.527027 | 81 | 0.671531 | 408 | 3,221 | 5.127451 | 0.387255 | 0.080306 | 0.031071 | 0.025813 | 0.086998 | 0.029637 | 0 | 0 | 0 | 0 | 0 | 0.002983 | 0.271344 | 3,221 | 73 | 82 | 44.123288 | 0.888368 | 0.368519 | 0 | 0.043478 | 0 | 0 | 0.008454 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.195652 | 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 |
ec2f222af58da2bc64e5b28bba59ebdceae5e124 | 4,148 | py | Python | tests/test_subspaces.py | ndem0/ATHENA | 87825ad95de539ac5e816a19922e9d615fabd5b8 | [
"MIT"
] | 33 | 2019-12-05T15:20:26.000Z | 2022-03-27T17:53:57.000Z | tests/test_subspaces.py | ndem0/ATHENA | 87825ad95de539ac5e816a19922e9d615fabd5b8 | [
"MIT"
] | 12 | 2020-03-23T08:54:32.000Z | 2021-11-07T14:33:04.000Z | tests/test_subspaces.py | ndem0/ATHENA | 87825ad95de539ac5e816a19922e9d615fabd5b8 | [
"MIT"
] | 16 | 2019-12-05T14:10:57.000Z | 2021-07-30T14:12:10.000Z | from unittest import TestCase
import numpy as np
from athena.subspaces import Subspaces
class TestUtils(TestCase):
def test_init_W1(self):
ss = Subspaces(dim=1)
self.assertIsNone(ss.W1)
def test_init_W2(self):
ss = Subspaces(dim=1)
self.assertIsNone(ss.W2)
def test_init_e... | 32.40625 | 72 | 0.5892 | 527 | 4,148 | 4.493359 | 0.163188 | 0.059122 | 0.118243 | 0.095017 | 0.668497 | 0.613598 | 0.577703 | 0.547297 | 0.500422 | 0.447635 | 0 | 0.066939 | 0.290501 | 4,148 | 127 | 73 | 32.661417 | 0.737683 | 0 | 0 | 0.490566 | 0 | 0 | 0.011331 | 0.005786 | 0 | 0 | 0 | 0 | 0.188679 | 1 | 0.188679 | false | 0 | 0.028302 | 0 | 0.226415 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec300133e36d8c7c6858a83eca5e80abaa22a5dc | 1,131 | py | Python | premium/backend/src/baserow_premium/api/license/urls.py | ashishdhngr/baserow | b098678d2165eb7c42930ee24dc6753a3cb520c3 | [
"MIT"
] | 1 | 2022-01-24T15:12:02.000Z | 2022-01-24T15:12:02.000Z | premium/backend/src/baserow_premium/api/license/urls.py | rasata/baserow | c6e1d7842c53f801e1c96b49f1377da2a06afaa9 | [
"MIT"
] | null | null | null | premium/backend/src/baserow_premium/api/license/urls.py | rasata/baserow | c6e1d7842c53f801e1c96b49f1377da2a06afaa9 | [
"MIT"
] | null | null | null | from django.conf.urls import re_path
from .views import (
AdminLicensesView,
AdminLicenseView,
AdminLicenseFillSeatsView,
AdminRemoveAllUsersFromLicenseView,
AdminLicenseUserView,
AdminLicenseLookupUsersView,
AdminCheckLicense,
)
app_name = "baserow_premium.api.license"
urlpatterns = [
... | 25.133333 | 75 | 0.591512 | 121 | 1,131 | 5.347107 | 0.322314 | 0.074189 | 0.075734 | 0.074189 | 0.126739 | 0.126739 | 0.126739 | 0.05255 | 0 | 0 | 0 | 0.015964 | 0.22458 | 1,131 | 44 | 76 | 25.704545 | 0.721779 | 0 | 0 | 0.25 | 0 | 0 | 0.223696 | 0.158267 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec330b8bd3eee04a448cd277aee3a50bec98e49d | 2,052 | py | Python | redirect_server/main.py | SantaSpeen/gitflic | 14c68092e238d6731863f9db29b304a9fad3e61c | [
"MIT"
] | 2 | 2022-03-16T10:18:38.000Z | 2022-03-16T13:08:51.000Z | redirect_server/main.py | SantaSpeen/gitflic | 14c68092e238d6731863f9db29b304a9fad3e61c | [
"MIT"
] | 1 | 2022-03-16T12:52:28.000Z | 2022-03-16T13:08:30.000Z | redirect_server/main.py | SantaSpeen/gitflic | 14c68092e238d6731863f9db29b304a9fad3e61c | [
"MIT"
] | 4 | 2022-03-16T09:33:05.000Z | 2022-03-30T05:46:58.000Z | """
This is redirect server for https://oauth.gitflic.ru/oauth/authorize
Base URL: https://gitflic.santaspeen.ru/
Author: @SantaSpeen
License: MIT
"""
import json
import random
from string import ascii_letters, digits
from flask import Flask, request, redirect, abort
app = Flask("gitflic oauth redirec... | 28.109589 | 107 | 0.615984 | 267 | 2,052 | 4.636704 | 0.393258 | 0.051696 | 0.042003 | 0.055735 | 0.164782 | 0.164782 | 0.164782 | 0.164782 | 0.164782 | 0.164782 | 0 | 0.040198 | 0.211988 | 2,052 | 72 | 108 | 28.5 | 0.725417 | 0.07846 | 0 | 0.25 | 0 | 0 | 0.230852 | 0.026781 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.090909 | 0.022727 | 0.318182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec344b7aa9b7b7dc268010d8de19cfb167034b6e | 5,241 | py | Python | applied_python/applied_python/lib/python2.7/site-packages/ansible/modules/extras/packaging/language/cpanm.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | 1 | 2020-10-14T00:06:54.000Z | 2020-10-14T00:06:54.000Z | applied_python/applied_python/lib/python2.7/site-packages/ansible/modules/extras/packaging/language/cpanm.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | null | null | null | applied_python/applied_python/lib/python2.7/site-packages/ansible/modules/extras/packaging/language/cpanm.py | mith1979/ansible_automation | 013dfa67c6d91720b787fadb21de574b6e023a26 | [
"Apache-2.0"
] | 2 | 2015-08-06T07:45:48.000Z | 2017-01-04T17:47:16.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
# (c) 2012, Franck Cuny <franck@lumberjaph.net>
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the L... | 33.170886 | 126 | 0.672582 | 727 | 5,241 | 4.766162 | 0.314993 | 0.037518 | 0.034632 | 0.02886 | 0.2557 | 0.180952 | 0.121212 | 0.084271 | 0.065224 | 0.065224 | 0 | 0.006836 | 0.21847 | 5,241 | 157 | 127 | 33.382166 | 0.839111 | 0.163518 | 0 | 0.185841 | 0 | 0.035398 | 0.495186 | 0.039202 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026549 | false | 0 | 0.00885 | 0 | 0.061947 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec34fcd27c4d0849f4617b2ff48d291c0d3e7793 | 5,877 | py | Python | python/pong.py | rajszym/Pong | ddf6e3a9853ce9d3487636f32b408677b4487210 | [
"MIT"
] | null | null | null | python/pong.py | rajszym/Pong | ddf6e3a9853ce9d3487636f32b408677b4487210 | [
"MIT"
] | null | null | null | python/pong.py | rajszym/Pong | ddf6e3a9853ce9d3487636f32b408677b4487210 | [
"MIT"
] | null | null | null | import os, sys, pygame
White = (0xFF, 0xFF, 0xFF)
Red = (0xFF, 0x00, 0x00)
Yellow = (0xFF, 0xFF, 0x00)
Green = (0x00, 0xFF, 0x00)
Blue = (0x00, 0x00, 0xFF)
Black = (0x00, 0x00, 0x00)
BKG = Black
class Player(pygame.Rect):
def __init__(self):
pygame.Rect.__init__(self, (0, 0), PlayerSize)
self.center... | 26.835616 | 75 | 0.652714 | 889 | 5,877 | 4.247469 | 0.152981 | 0.046081 | 0.03178 | 0.034428 | 0.476695 | 0.431939 | 0.392214 | 0.351695 | 0.337924 | 0.302436 | 0 | 0.030277 | 0.207589 | 5,877 | 218 | 76 | 26.958716 | 0.780545 | 0 | 0 | 0.25 | 0 | 0 | 0.011741 | 0 | 0 | 0 | 0.012251 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.005952 | 0 | 0.113095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec375bc4d8ef16784bec0fbac23a1ea72eb34608 | 13,406 | py | Python | RL-snake/main.py | Yashprime1/RL--Snake | 9eb1a6306bad83c263f2fec7752d2d772860990c | [
"MIT"
] | null | null | null | RL-snake/main.py | Yashprime1/RL--Snake | 9eb1a6306bad83c263f2fec7752d2d772860990c | [
"MIT"
] | null | null | null | RL-snake/main.py | Yashprime1/RL--Snake | 9eb1a6306bad83c263f2fec7752d2d772860990c | [
"MIT"
] | null | null | null | import pygame
import random
import random
import itertools
import json
import os
import matplotlib.pyplot as plt
from IPython import display
plt.ion()
def plot(scores, mean_scores,save=False):
display.clear_output(wait=True)
display.display(plt.gcf())
plt.clf()
plt.title('Training...')
plt.xlabel... | 31.84323 | 292 | 0.635313 | 1,926 | 13,406 | 4.15161 | 0.117342 | 0.083917 | 0.015758 | 0.015008 | 0.544772 | 0.458854 | 0.415083 | 0.395573 | 0.358304 | 0.347549 | 0 | 0.017829 | 0.23855 | 13,406 | 420 | 293 | 31.919048 | 0.765478 | 0.046546 | 0 | 0.365559 | 0 | 0 | 0.069256 | 0.007249 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030211 | false | 0.003021 | 0.024169 | 0 | 0.072508 | 0.033233 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec39ff5313fd7c3fd2b71acde83c9cf8579b9481 | 4,999 | py | Python | backend/boards/models.py | xelam11/TaskPlanner | c1e940d2a9babba7721c0f2d261e1c7df9c48581 | [
"BSD-3-Clause"
] | null | null | null | backend/boards/models.py | xelam11/TaskPlanner | c1e940d2a9babba7721c0f2d261e1c7df9c48581 | [
"BSD-3-Clause"
] | null | null | null | backend/boards/models.py | xelam11/TaskPlanner | c1e940d2a9babba7721c0f2d261e1c7df9c48581 | [
"BSD-3-Clause"
] | null | null | null | from django.db import models
from users.models import CustomUser
class BoardManager(models.Manager):
def create_board(self, author, **kwargs):
current_user = author
board = Board.objects.create(author=current_user, **kwargs)
ParticipantInBoard.objects.create(board=board,
... | 34.475862 | 77 | 0.468894 | 395 | 4,999 | 5.736709 | 0.313924 | 0.097087 | 0.03707 | 0.055605 | 0.207855 | 0.160635 | 0.150927 | 0.123124 | 0.102383 | 0.051192 | 0 | 0.010152 | 0.44829 | 4,999 | 144 | 78 | 34.715278 | 0.811458 | 0 | 0 | 0.201681 | 0 | 0 | 0.112823 | 0.004601 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05042 | false | 0 | 0.016807 | 0.042017 | 0.336134 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec3a1ba3d6ddeb0aa249439a8c2888cd61f0d04f | 1,605 | py | Python | extractcondo.py | mattyschell/geodatabase-buildings-condoetl | b9be05f749d3c1d7c7dec2f86bbc8776141a93bf | [
"CC0-1.0"
] | null | null | null | extractcondo.py | mattyschell/geodatabase-buildings-condoetl | b9be05f749d3c1d7c7dec2f86bbc8776141a93bf | [
"CC0-1.0"
] | 4 | 2021-08-31T18:27:25.000Z | 2021-09-17T20:26:43.000Z | extractcondo.py | mattyschell/geodatabase-buildings-condoetl | b9be05f749d3c1d7c7dec2f86bbc8776141a93bf | [
"CC0-1.0"
] | null | null | null | import os
import logging
import time
import pathlib
import condo
def main(sourcesdeconn
,outputdir):
sourcecondo = condo.Condo()
sourcecondo.extracttofile('DOF_TAXMAP.Condo'
,outputdir)
return sourcecondo.countcondos()
if __name__ == '__main__'... | 25.887097 | 87 | 0.545794 | 167 | 1,605 | 5.143713 | 0.54491 | 0.027939 | 0.034924 | 0.044237 | 0.116414 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006783 | 0.357009 | 1,605 | 62 | 88 | 25.887097 | 0.825581 | 0.11215 | 0 | 0.108108 | 0 | 0 | 0.173362 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027027 | false | 0 | 0.135135 | 0 | 0.189189 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec3b0f1dfb39b25fc236995951ab1bc52cc30f8b | 690 | py | Python | MarketData/testMKup.py | yirencaifu/pyWindMongoDB | df1bf3d0bfe6872a5d18fa2f72beccafd7c93b73 | [
"MIT"
] | null | null | null | MarketData/testMKup.py | yirencaifu/pyWindMongoDB | df1bf3d0bfe6872a5d18fa2f72beccafd7c93b73 | [
"MIT"
] | null | null | null | MarketData/testMKup.py | yirencaifu/pyWindMongoDB | df1bf3d0bfe6872a5d18fa2f72beccafd7c93b73 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Sat Sep 27 08:11:48 2014
@author: space_000
"""
from scipy.io import loadmat
from WindPy import w
import pymongo as mg
from wsiTools import findDate
from mgWsi import upiter
d=loadmat('D:\FieldSHSZ')
Field=d['Field'].tolist()
stride=100
numF=range(len(Field))[::stride]
dt=load... | 20.294118 | 124 | 0.678261 | 116 | 690 | 4.025862 | 0.62931 | 0.034261 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065327 | 0.134783 | 690 | 33 | 125 | 20.909091 | 0.716918 | 0.113043 | 0 | 0 | 0 | 0 | 0.157285 | 0.043046 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.238095 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec3ed91b0547d338c06ce42617025e071787d68a | 4,585 | py | Python | dokdo/api/beta_3d_plot.py | sbslee/dokdo | a528a830b3347c39e1dc415b0f3e2c6ad60b0a1d | [
"MIT"
] | 23 | 2020-11-01T21:55:30.000Z | 2021-12-05T14:03:05.000Z | dokdo/api/beta_3d_plot.py | sbslee/dokdo | a528a830b3347c39e1dc415b0f3e2c6ad60b0a1d | [
"MIT"
] | 25 | 2020-11-25T23:24:23.000Z | 2022-03-30T04:40:45.000Z | dokdo/api/beta_3d_plot.py | sbslee/dokdo | a528a830b3347c39e1dc415b0f3e2c6ad60b0a1d | [
"MIT"
] | 7 | 2020-11-27T06:46:47.000Z | 2021-09-25T03:26:07.000Z | from . import common
import pandas as pd
import matplotlib.pyplot as plt
from skbio.stats.ordination import OrdinationResults
from qiime2 import Artifact
def beta_3d_plot(
artifact, metadata=None, hue=None, azim=-60, elev=30, s=80, ax=None,
figsize=None, hue_order=None
):
"""
Create a 3D scatter plot ... | 32.062937 | 114 | 0.532606 | 533 | 4,585 | 4.470919 | 0.35272 | 0.0235 | 0.025178 | 0.018884 | 0.153588 | 0.118338 | 0.118338 | 0.118338 | 0.074696 | 0 | 0 | 0.027069 | 0.299019 | 4,585 | 142 | 115 | 32.288732 | 0.714375 | 0.615921 | 0 | 0.097561 | 0 | 0 | 0.077295 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.121951 | 0 | 0.170732 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec3edfbe3bdf65ebc6cecba5e84ff7e63361940c | 9,682 | py | Python | Human-Falling-Detect-Tracks/Actionsrecognition/Models.py | mathemusician/IncidenceReporting | d1cb747ecdbad641276981133a78813f878c89f3 | [
"MIT"
] | 2 | 2021-10-02T19:56:32.000Z | 2021-10-02T21:31:26.000Z | Human-Falling-Detect-Tracks/Actionsrecognition/Models.py | mathemusician/IncidenceReporting | d1cb747ecdbad641276981133a78813f878c89f3 | [
"MIT"
] | null | null | null | Human-Falling-Detect-Tracks/Actionsrecognition/Models.py | mathemusician/IncidenceReporting | d1cb747ecdbad641276981133a78813f878c89f3 | [
"MIT"
] | 1 | 2021-10-02T21:46:08.000Z | 2021-10-02T21:46:08.000Z | ### Reference from: https://github.com/yysijie/st-gcn/tree/master/net
import torch
import torch.nn as nn
import torch.nn.functional as F
import numpy as np
from Actionsrecognition.Utils import Graph
class GraphConvolution(nn.Module):
"""The basic module for applying a graph convolution.
Args:
- in_c... | 37.527132 | 92 | 0.575088 | 1,272 | 9,682 | 4.224057 | 0.153302 | 0.072585 | 0.030709 | 0.022148 | 0.480179 | 0.444444 | 0.38526 | 0.359948 | 0.30616 | 0.287921 | 0 | 0.021045 | 0.307994 | 9,682 | 257 | 93 | 37.673152 | 0.780896 | 0.417682 | 0 | 0.215827 | 0 | 0 | 0.004327 | 0 | 0 | 0 | 0 | 0 | 0.014388 | 1 | 0.057554 | false | 0 | 0.100719 | 0 | 0.215827 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec3fe1d1b9136cf779530748aa16a309021ed5cb | 4,572 | py | Python | baselines_pharmaco_nontrainable.py | francescobarbara/idad | 7931daeec5ae7db0c212d0b13f3c13d4784ecfdb | [
"MIT"
] | 3 | 2021-11-03T07:30:16.000Z | 2021-12-18T16:26:14.000Z | baselines_pharmaco_nontrainable.py | francescobarbara/idad | 7931daeec5ae7db0c212d0b13f3c13d4784ecfdb | [
"MIT"
] | null | null | null | baselines_pharmaco_nontrainable.py | francescobarbara/idad | 7931daeec5ae7db0c212d0b13f3c13d4784ecfdb | [
"MIT"
] | 3 | 2022-01-31T10:21:38.000Z | 2022-03-04T23:56:58.000Z | import os
import math
import argparse
from tqdm import tqdm
import pandas as pd
import torch
import torch.nn as nn
import pyro
import mlflow
from pharmacokinetic import Pharmacokinetic
from experiment_tools.pyro_tools import auto_seed
from experiment_tools.output_utils import get_mlflow_meta
from estimators.mi import... | 33.617647 | 88 | 0.667323 | 556 | 4,572 | 5.196043 | 0.289568 | 0.024922 | 0.044306 | 0.06369 | 0.222568 | 0.149533 | 0.097612 | 0 | 0 | 0 | 0 | 0.012518 | 0.23119 | 4,572 | 135 | 89 | 33.866667 | 0.809388 | 0.032152 | 0 | 0.052632 | 0 | 0 | 0.091733 | 0.029219 | 0 | 0 | 0 | 0 | 0 | 1 | 0.008772 | false | 0 | 0.131579 | 0 | 0.149123 | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec424d0484b0678464ceb56aac0631a916e0e37d | 311 | py | Python | bot/config.py | i-dubits/tg-bot-style | 798b42b2892307a668cc676be216634e7a7cf7de | [
"BSD-3-Clause"
] | null | null | null | bot/config.py | i-dubits/tg-bot-style | 798b42b2892307a668cc676be216634e7a7cf7de | [
"BSD-3-Clause"
] | null | null | null | bot/config.py | i-dubits/tg-bot-style | 798b42b2892307a668cc676be216634e7a7cf7de | [
"BSD-3-Clause"
] | null | null | null | TOKEN = '' # your token should be here
file_path_to_download = './images/'
checkpoint_dir = './scripts/checkpoints/'
nst_state_dict = './nst/vgg19-dcbb9e9d.pth' # you should download an vgg19 dict from here https://download.pytorch.org/models/vgg19-dcbb9e9d.pth
| 28.272727 | 144 | 0.639871 | 38 | 311 | 5.078947 | 0.710526 | 0.134715 | 0.165803 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.042735 | 0.247588 | 311 | 10 | 145 | 31.1 | 0.782051 | 0.398714 | 0 | 0 | 0 | 0 | 0.298913 | 0.25 | 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 |
ec43f38ce7e8616b6ecbb84b8e45c133aaf66327 | 2,849 | py | Python | blog/projectCode.py | iloveyougit/ylink2 | a87d8fde79ab259012cd6486299fcf86e1afc740 | [
"MIT"
] | null | null | null | blog/projectCode.py | iloveyougit/ylink2 | a87d8fde79ab259012cd6486299fcf86e1afc740 | [
"MIT"
] | null | null | null | blog/projectCode.py | iloveyougit/ylink2 | a87d8fde79ab259012cd6486299fcf86e1afc740 | [
"MIT"
] | null | null | null |
from django.shortcuts import redirect
from django.shortcuts import render
from django.utils import timezone
from .models import Post,views
from django.shortcuts import render, get_object_or_404
from .forms import PostForm
import youtube_dl
from django.core.files import File
from .models import FileSaver
import codecs... | 32.747126 | 100 | 0.531064 | 326 | 2,849 | 4.576687 | 0.355828 | 0.046917 | 0.038204 | 0.050268 | 0.176944 | 0.135389 | 0.135389 | 0.063003 | 0.063003 | 0.063003 | 0 | 0.014231 | 0.358722 | 2,849 | 86 | 101 | 33.127907 | 0.802408 | 0 | 0 | 0.210526 | 0 | 0 | 0.126711 | 0.028782 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013158 | false | 0 | 0.210526 | 0 | 0.263158 | 0.092105 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec45f10d301fdd0d325a8177f688357eddd958d5 | 33,366 | py | Python | reference_kernels/PetFinder Slow and Steady Feature Building.py | MarcusJones/kaggle_petfinder_adoption | 2d745b48405f4d4211b523eae272b9169fcf9fa2 | [
"MIT"
] | 1 | 2019-01-24T04:22:39.000Z | 2019-01-24T04:22:39.000Z | reference_kernels/PetFinder Slow and Steady Feature Building.py | MarcusJones/kaggle_petfinder_adoption | 2d745b48405f4d4211b523eae272b9169fcf9fa2 | [
"MIT"
] | null | null | null | reference_kernels/PetFinder Slow and Steady Feature Building.py | MarcusJones/kaggle_petfinder_adoption | 2d745b48405f4d4211b523eae272b9169fcf9fa2 | [
"MIT"
] | null | null | null | '''
If you find this useful, please give a thumbs up!
Thanks!
- Claire & Alhan
https://github.com/alhankeser/kaggle-petfinder
'''
# External libraries
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns
# from sklearn.linear_model import LogisticRegression
from sklearn.ensemb... | 35.723769 | 102 | 0.543457 | 4,084 | 33,366 | 4.247307 | 0.132958 | 0.010089 | 0.016488 | 0.008648 | 0.252047 | 0.189669 | 0.151735 | 0.110861 | 0.086418 | 0.075695 | 0 | 0.013555 | 0.334472 | 33,366 | 933 | 103 | 35.762058 | 0.767585 | 0.100611 | 0 | 0.207989 | 0 | 0 | 0.061898 | 0.002229 | 0.002755 | 0 | 0 | 0.001072 | 0.002755 | 1 | 0.103306 | false | 0.008264 | 0.030303 | 0.00551 | 0.242424 | 0.015152 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec4649677b2490023b21a9d452d053eff7e18fef | 58,219 | py | Python | bin/backup.py | TechGeek01/BackDrop | 9f72bcc4027df6bfa64b645cd6eb0e4148ae5557 | [
"MIT"
] | 49 | 2020-09-12T13:04:40.000Z | 2022-03-04T16:48:26.000Z | bin/backup.py | TechGeek01/BackDrop | 9f72bcc4027df6bfa64b645cd6eb0e4148ae5557 | [
"MIT"
] | 1 | 2021-03-12T03:14:31.000Z | 2021-03-12T03:14:31.000Z | bin/backup.py | TechGeek01/BackDrop | 9f72bcc4027df6bfa64b645cd6eb0e4148ae5557 | [
"MIT"
] | 1 | 2021-03-21T19:01:13.000Z | 2021-03-21T19:01:13.000Z | from tkinter import messagebox
import os
import itertools
from datetime import datetime
import shutil
import pickle
from bin.fileutils import human_filesize, get_directory_size
from bin.color import bcolor
from bin.threadmanager import ThreadManager
from bin.config import Config
from bin.status import Status
class Ba... | 51.796263 | 279 | 0.571892 | 7,015 | 58,219 | 4.533571 | 0.073984 | 0.021633 | 0.010691 | 0.015596 | 0.550986 | 0.470019 | 0.410527 | 0.379744 | 0.354998 | 0.29145 | 0 | 0.002166 | 0.341727 | 58,219 | 1,123 | 280 | 51.842386 | 0.82768 | 0.20574 | 0 | 0.381503 | 0 | 0.00578 | 0.075469 | 0.00995 | 0 | 0 | 0 | 0.003562 | 0 | 1 | 0.018786 | false | 0.001445 | 0.015896 | 0 | 0.08237 | 0.00289 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec4668ea105fe43b89baef884539542d10b494a5 | 1,134 | py | Python | From Another World/bullet.py | Grantlee11/From_Another_World_Pygame | 1aa98162a458a1a4aacfbc9170eaa233db055e9e | [
"CC-BY-3.0"
] | null | null | null | From Another World/bullet.py | Grantlee11/From_Another_World_Pygame | 1aa98162a458a1a4aacfbc9170eaa233db055e9e | [
"CC-BY-3.0"
] | null | null | null | From Another World/bullet.py | Grantlee11/From_Another_World_Pygame | 1aa98162a458a1a4aacfbc9170eaa233db055e9e | [
"CC-BY-3.0"
] | null | null | null | import pygame
from pygame.sprite import Sprite
class Bullet(Sprite):
"""A CLASS TO MANAGE BULLETS FIRED FROM THE SHIP"""
def __init__(self, ai_settings, screen, ship):
"""CREATE A BULLET OBJECT AT THE SHIP'S CURRENT POSITION"""
super(Bullet, self).__init__()
self.screen = screen
... | 34.363636 | 90 | 0.638448 | 159 | 1,134 | 4.421384 | 0.314465 | 0.068279 | 0.091038 | 0.036984 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004819 | 0.268078 | 1,134 | 33 | 91 | 34.363636 | 0.842169 | 0.295414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.117647 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec4d41b5339a13570027a14f5668646325d52607 | 1,648 | py | Python | tcc_rpi/adafruit_mcp3008.py | MegaNo0body/tcc | 469824a8afc1cf846793212d42f6c8c43ee4b0bf | [
"MIT"
] | 1 | 2016-09-29T22:39:31.000Z | 2016-09-29T22:39:31.000Z | tcc_rpi/adafruit_mcp3008.py | MegaNo0body/tcc | 469824a8afc1cf846793212d42f6c8c43ee4b0bf | [
"MIT"
] | null | null | null | tcc_rpi/adafruit_mcp3008.py | MegaNo0body/tcc | 469824a8afc1cf846793212d42f6c8c43ee4b0bf | [
"MIT"
] | null | null | null | import time
import os
import RPi.GPIO as GPIO
GPIO.setmode(GPIO.BCM)
# read SPI data from MCP3008 chip, 8 possible adc's (0 thru 7)
def readadc(adcnum, clockpin, mosipin, misopin, cspin):
if ((adcnum > 7) or (adcnum < 0)):
return -1
GPIO.output(cspin, True)
GPIO.output(clockpin, False) # start clock low
GPIO.... | 21.684211 | 66 | 0.695995 | 258 | 1,648 | 4.422481 | 0.434109 | 0.087642 | 0.078878 | 0.057844 | 0.113059 | 0.089395 | 0.089395 | 0.089395 | 0.089395 | 0 | 0 | 0.03386 | 0.193568 | 1,648 | 75 | 67 | 21.973333 | 0.82468 | 0.219053 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008621 | 0 | 0 | 1 | 0.018182 | false | 0 | 0.054545 | 0 | 0.109091 | 0.018182 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec50387d2267d7e50a0c69f978fb2011b6de161c | 1,720 | py | Python | apps/poker/views/settings.py | deniskrumko/izyan-poker | ce70c9c8f761409adad289809e5220237b312407 | [
"MIT"
] | 6 | 2019-08-05T07:37:52.000Z | 2021-12-30T20:07:01.000Z | apps/poker/views/settings.py | deniskrumko/izyan-poker | ce70c9c8f761409adad289809e5220237b312407 | [
"MIT"
] | 8 | 2019-10-25T11:07:03.000Z | 2021-06-10T18:43:42.000Z | apps/poker/views/settings.py | deniskrumko/izyan-poker | ce70c9c8f761409adad289809e5220237b312407 | [
"MIT"
] | 1 | 2019-10-07T15:44:26.000Z | 2019-10-07T15:44:26.000Z | from core.views import BaseView, LoginRequiredMixin
from ..models import PokerMember, PokerRoom
class SettingsView(LoginRequiredMixin, BaseView):
template_name = 'settings.html'
def get(self, request, token):
"""Handle GET request."""
if not self.member:
return self.redirect('po... | 29.655172 | 77 | 0.591279 | 199 | 1,720 | 4.994975 | 0.291457 | 0.070423 | 0.054326 | 0.069417 | 0.123742 | 0.123742 | 0.123742 | 0 | 0 | 0 | 0 | 0.002423 | 0.280233 | 1,720 | 57 | 78 | 30.175439 | 0.800485 | 0.050581 | 0 | 0.102564 | 0 | 0 | 0.057072 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102564 | false | 0 | 0.051282 | 0 | 0.358974 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
ec58e48e50bae8cea63a104f2bb6e36683806f7e | 954 | py | Python | eureka/lib/models_c/py_func/fixipmapping.py | iancrossfield/Eureka | 88b178d1b830c16915045b6387cf91955e0071e2 | [
"MIT"
] | null | null | null | eureka/lib/models_c/py_func/fixipmapping.py | iancrossfield/Eureka | 88b178d1b830c16915045b6387cf91955e0071e2 | [
"MIT"
] | null | null | null | eureka/lib/models_c/py_func/fixipmapping.py | iancrossfield/Eureka | 88b178d1b830c16915045b6387cf91955e0071e2 | [
"MIT"
] | null | null | null |
def fixipmapping(ipparams, posflux, etc = [], retbinflux = False, retbinstd = False):
"""
This function returns the fixed best-fit intra-pixel mapping.
Parameters
----------
ipparams : tuple
unused
bestmip : 1D array, size = # of measurements
Best-fit ip mapping
... | 26.5 | 85 | 0.584906 | 97 | 954 | 5.752577 | 0.57732 | 0.09319 | 0.039427 | 0.046595 | 0.089606 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019969 | 0.31761 | 954 | 35 | 86 | 27.257143 | 0.837174 | 0.549266 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 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 |
ec5935855d0506591f11a5c9e27865542c48e32b | 528 | py | Python | tests/wrapper/testsuite.py | gimbas/openinput | 9cbb4b22aebe46dfc33ae9c56b164baa6c1fe693 | [
"MIT"
] | 38 | 2020-05-11T10:54:15.000Z | 2022-03-30T13:19:09.000Z | tests/wrapper/testsuite.py | gimbas/openinput | 9cbb4b22aebe46dfc33ae9c56b164baa6c1fe693 | [
"MIT"
] | 45 | 2020-04-21T23:52:22.000Z | 2022-02-19T20:29:27.000Z | tests/wrapper/testsuite.py | gimbas/openinput | 9cbb4b22aebe46dfc33ae9c56b164baa6c1fe693 | [
"MIT"
] | 5 | 2020-08-29T02:10:42.000Z | 2021-08-31T03:12:15.000Z | # SPDX-License-Identifier: MIT
# SPDX-FileCopyrightText: 2021 Filipe Laíns <lains@riseup.net>
from typing import List, Set
import _testsuite
import pages
class Device(_testsuite.Device):
def __init__(
self,
*,
name: str,
functions: Set[pages.Function],
) -> None:
supe... | 22 | 66 | 0.617424 | 61 | 528 | 5.081967 | 0.672131 | 0.045161 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010363 | 0.268939 | 528 | 23 | 67 | 22.956522 | 0.792746 | 0.242424 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.2 | 0 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b57fc39f4fd2e01c5a6e624252774aacda18038 | 2,578 | py | Python | samples/summarize-bot/dialogs/main_dialog.py | tsuwandy/botbuilder-community-python | e035a993cd3b0fd8c7b2ff1126c4e993d0c8efc3 | [
"MIT"
] | null | null | null | samples/summarize-bot/dialogs/main_dialog.py | tsuwandy/botbuilder-community-python | e035a993cd3b0fd8c7b2ff1126c4e993d0c8efc3 | [
"MIT"
] | null | null | null | samples/summarize-bot/dialogs/main_dialog.py | tsuwandy/botbuilder-community-python | e035a993cd3b0fd8c7b2ff1126c4e993d0c8efc3 | [
"MIT"
] | null | null | null | # Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License.
"""Main dialog. """
from botbuilder.dialogs import (
ComponentDialog,
WaterfallDialog,
WaterfallStepContext,
DialogTurnResult,
)
from botbuilder.dialogs.prompts import TextPrompt, PromptOptions
from botbuilder.... | 39.661538 | 135 | 0.689294 | 274 | 2,578 | 6.244526 | 0.383212 | 0.083577 | 0.056108 | 0.051432 | 0.178843 | 0.178843 | 0.061952 | 0.061952 | 0 | 0 | 0 | 0 | 0.232351 | 2,578 | 64 | 136 | 40.28125 | 0.864578 | 0.121024 | 0 | 0.045455 | 0 | 0 | 0.012311 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.136364 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b5832f803883a22182b709c9785af4bb2e2a7ee | 3,642 | py | Python | handroll/composers/__init__.py | mblayman/handroll | 42703cf5c969dccd0eb0715402ab84056ab65e22 | [
"BSD-2-Clause"
] | null | null | null | handroll/composers/__init__.py | mblayman/handroll | 42703cf5c969dccd0eb0715402ab84056ab65e22 | [
"BSD-2-Clause"
] | null | null | null | handroll/composers/__init__.py | mblayman/handroll | 42703cf5c969dccd0eb0715402ab84056ab65e22 | [
"BSD-2-Clause"
] | null | null | null | # Copyright (c) 2014, Matt Layman
import filecmp
import os
import shutil
import warnings
from pkg_resources import iter_entry_points
from handroll import logger
from handroll.i18n import _
class Composer(object):
"""Interface for all composers"""
def compose(self, catalog, source_file, out_dir):
"... | 36.787879 | 78 | 0.643053 | 433 | 3,642 | 5.265589 | 0.374134 | 0.035088 | 0.038596 | 0.021053 | 0.111404 | 0.080702 | 0.032456 | 0.032456 | 0 | 0 | 0 | 0.003414 | 0.276222 | 3,642 | 98 | 79 | 37.163265 | 0.861533 | 0.375618 | 0 | 0.130435 | 0 | 0 | 0.08403 | 0.011606 | 0 | 0 | 0 | 0 | 0 | 1 | 0.108696 | false | 0 | 0.152174 | 0 | 0.391304 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b5b594a8ddc22e1ab3c6c0d7edc6fdc3c650bfc | 14,791 | py | Python | git_jdime.py | xai/jdime-utils | b5978a4572afbeaa3e4a9f72cfdccc0a14ee0cf8 | [
"MIT"
] | null | null | null | git_jdime.py | xai/jdime-utils | b5978a4572afbeaa3e4a9f72cfdccc0a14ee0cf8 | [
"MIT"
] | null | null | null | git_jdime.py | xai/jdime-utils | b5978a4572afbeaa3e4a9f72cfdccc0a14ee0cf8 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
#
# Copyright (C) 2017 Olaf Lessenich
import argparse
import csv
import os
import sys
import tempfile
import time
import signal
import statistics
import psutil
from plumbum import colors
from plumbum import local
from plumbum.cmd import grep
from plumbum.commands.processes import ProcessExecutio... | 38.719895 | 114 | 0.423366 | 1,211 | 14,791 | 5.120562 | 0.235343 | 0.018868 | 0.035639 | 0.015481 | 0.219803 | 0.181906 | 0.156426 | 0.115143 | 0.090147 | 0.067731 | 0 | 0.006778 | 0.461362 | 14,791 | 381 | 115 | 38.821522 | 0.771558 | 0.011358 | 0 | 0.274854 | 0 | 0 | 0.118005 | 0.014845 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020468 | false | 0.005848 | 0.04386 | 0 | 0.084795 | 0.020468 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b5ba9e7cc299303aeb45f7e67c51d27bbdf3426 | 3,863 | py | Python | wagtail_automatic_redirects/signal_handlers.py | tbrlpld/wagtail-automatic-redirects | 70ff04c7aeb64916f6827c4b84616a4c96d64a5e | [
"BSD-3-Clause"
] | 13 | 2020-02-13T20:55:32.000Z | 2021-12-11T21:20:20.000Z | wagtail_automatic_redirects/signal_handlers.py | tbrlpld/wagtail-automatic-redirects | 70ff04c7aeb64916f6827c4b84616a4c96d64a5e | [
"BSD-3-Clause"
] | 6 | 2020-05-19T21:06:20.000Z | 2021-05-28T13:31:09.000Z | wagtail_automatic_redirects/signal_handlers.py | tbrlpld/wagtail-automatic-redirects | 70ff04c7aeb64916f6827c4b84616a4c96d64a5e | [
"BSD-3-Clause"
] | 4 | 2020-05-19T13:40:05.000Z | 2021-03-03T21:36:48.000Z | from wagtail import VERSION as WAGTAIL_VERSION
if WAGTAIL_VERSION >= (2, 0):
from wagtail.core.signals import page_published
from wagtail.contrib.redirects.models import Redirect
if WAGTAIL_VERSION >= (2, 10):
from wagtail.core.signals import post_page_move
else:
post_page_move = None
... | 39.418367 | 79 | 0.683407 | 509 | 3,863 | 4.943026 | 0.265226 | 0.061208 | 0.041733 | 0.047695 | 0.294515 | 0.183625 | 0.101749 | 0.101749 | 0.050079 | 0.050079 | 0 | 0.001737 | 0.254983 | 3,863 | 97 | 80 | 39.824742 | 0.872481 | 0.31271 | 0 | 0.213115 | 0 | 0 | 0.044419 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065574 | false | 0 | 0.098361 | 0 | 0.196721 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b5c6925b389b1b726a316fd95e267319608e4ab | 1,377 | py | Python | main.py | tegarimansyah/download-folder-manager | 1c93e5a513107fd65ac74ec5afb5f203d739b75e | [
"MIT"
] | null | null | null | main.py | tegarimansyah/download-folder-manager | 1c93e5a513107fd65ac74ec5afb5f203d739b75e | [
"MIT"
] | null | null | null | main.py | tegarimansyah/download-folder-manager | 1c93e5a513107fd65ac74ec5afb5f203d739b75e | [
"MIT"
] | null | null | null | import os
import glob
import pprint
from pathlib import Path
# Setup
pp = pprint.PrettyPrinter(indent=4)
# All variable
DOWNLOAD_FOLDER_PATH = os.path.join( # add trailing slash
os.getenv('DOWNLOAD_FOLDER_PATH', f'{Path.home()}/Downloads/') # get from env
)
def extract_file_data(filepath):
_, file_extension ... | 28.6875 | 97 | 0.69281 | 189 | 1,377 | 4.767196 | 0.37037 | 0.039956 | 0.048835 | 0.028857 | 0.037736 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000902 | 0.194626 | 1,377 | 47 | 98 | 29.297872 | 0.811542 | 0.095861 | 0 | 0 | 0 | 0 | 0.070331 | 0.019402 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.121212 | 0.030303 | 0.30303 | 0.121212 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b5c790a442c8ec83937f33d65197c87f874fb7f | 4,295 | py | Python | dane/handlers/RabbitMQHandler.py | CLARIAH/DANE-util | 8a3edec69be18ac3bdee476b65059409af05c1bb | [
"Apache-2.0"
] | 2 | 2020-11-24T11:03:14.000Z | 2021-03-25T13:25:35.000Z | DANE/handlers/RabbitMQHandler.py | CLARIAH/DANE | c27b11d6fe6dc1da5097d90b32bcee64fdc27837 | [
"Apache-2.0"
] | 1 | 2019-12-11T19:46:20.000Z | 2019-12-11T21:30:38.000Z | DANE/handlers/RabbitMQHandler.py | CLARIAH/DANE | c27b11d6fe6dc1da5097d90b32bcee64fdc27837 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020-present, Netherlands Institute for Sound and Vision (Nanne van Noord)
#
# 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
#
#... | 37.675439 | 86 | 0.56298 | 431 | 4,295 | 5.531323 | 0.417633 | 0.041946 | 0.060403 | 0.03146 | 0.149748 | 0.072567 | 0.032299 | 0 | 0 | 0 | 0 | 0.00498 | 0.345518 | 4,295 | 113 | 87 | 38.00885 | 0.843116 | 0.164843 | 0 | 0.168675 | 0 | 0 | 0.074764 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072289 | false | 0.012048 | 0.084337 | 0 | 0.168675 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b5f1427746108b86dc7e91797ab19861fcd228b | 947 | py | Python | src/Exercise_3/src/plots.py | djeada/Stanford-Machine-Learning | e6ef77939b7c581aebb5e9454669ad2dbb4f98f0 | [
"MIT"
] | null | null | null | src/Exercise_3/src/plots.py | djeada/Stanford-Machine-Learning | e6ef77939b7c581aebb5e9454669ad2dbb4f98f0 | [
"MIT"
] | null | null | null | src/Exercise_3/src/plots.py | djeada/Stanford-Machine-Learning | e6ef77939b7c581aebb5e9454669ad2dbb4f98f0 | [
"MIT"
] | null | null | null | """"
The goal of this module is to implement all the visualization
tools needed to graph the data and results of the computations
for the Task 3 from the coding homeworks in the Machine Learning
course on coursera.com.
"""
import numpy as np
import matplotlib.pyplot as plt
def display_random_grid(x: np.ndarray, n: i... | 27.057143 | 100 | 0.658923 | 150 | 947 | 4.146667 | 0.573333 | 0.016077 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.026912 | 0.254488 | 947 | 34 | 101 | 27.852941 | 0.854108 | 0.575502 | 0 | 0 | 0 | 0 | 0.008798 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.222222 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b5fd207e69fc80407e2e9f565ac8467717e39c5 | 986 | py | Python | dit/object_detection/adaptive_binarize.py | guotao0628/DeepNet | 1ae74d8b44d715bf67c7d64a8efafff4b7c7937a | [
"MIT"
] | 1 | 2021-11-07T00:30:05.000Z | 2021-11-07T00:30:05.000Z | dit/object_detection/adaptive_binarize.py | guotao0628/DeepNet | 1ae74d8b44d715bf67c7d64a8efafff4b7c7937a | [
"MIT"
] | null | null | null | dit/object_detection/adaptive_binarize.py | guotao0628/DeepNet | 1ae74d8b44d715bf67c7d64a8efafff4b7c7937a | [
"MIT"
] | null | null | null | import argparse
import os
import cv2
import tqdm
def convert(fn):
# given a file name, convert it into binary and store at the same position
img = cv2.imread(fn)
gim = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
gim = cv2.adaptiveThreshold(gim, 255, cv2.ADAPTIVE_THRESH_GAUSSIAN_C, cv2.THRESH_BINARY, 45, 11)... | 29 | 100 | 0.649087 | 131 | 986 | 4.717557 | 0.526718 | 0.029126 | 0.035599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033245 | 0.237323 | 986 | 33 | 101 | 29.878788 | 0.788564 | 0.073022 | 0 | 0.086957 | 0 | 0 | 0.077457 | 0.046243 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.173913 | 0 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b62a1b0dff941851becc78ed4922a7c9853d341 | 3,685 | py | Python | src/mode/modeopening3.py | JovialKnoll/monsters | 15d969d0220fd003c2c28ae690f66633da370682 | [
"MIT"
] | 2 | 2017-05-14T06:37:14.000Z | 2022-03-07T02:25:32.000Z | src/mode/modeopening3.py | JovialKnoll/monsters | 15d969d0220fd003c2c28ae690f66633da370682 | [
"MIT"
] | 2 | 2017-10-08T19:41:18.000Z | 2021-04-08T04:40:50.000Z | src/mode/modeopening3.py | JovialKnoll/monsters | 15d969d0220fd003c2c28ae690f66633da370682 | [
"MIT"
] | null | null | null | import random
from collections import deque
import pygame
import constants
import shared
from monster import Monster
from .modeintroduction0 import ModeIntroduction0
from .modeopening import ModeOpening
class ModeOpening3(ModeOpening):
GROUND_LEVEL = constants.SCREEN_SIZE[1] - 8
CENTER_TIME = 2500
TRANS... | 34.439252 | 94 | 0.617096 | 432 | 3,685 | 5.050926 | 0.275463 | 0.08066 | 0.071494 | 0.058662 | 0.403758 | 0.362053 | 0.311641 | 0.252521 | 0.11549 | 0.076077 | 0 | 0.017169 | 0.288738 | 3,685 | 106 | 95 | 34.764151 | 0.815338 | 0.05943 | 0 | 0.186813 | 0 | 0 | 0.021965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054945 | false | 0 | 0.087912 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b630feef7b82478ebf730437b4ab760f83635c1 | 1,651 | py | Python | onadata/apps/logger/management/commands/sync_deleted_instances_fix.py | ubpd/kobocat | 45906e07e8f05c30e3e26bab5570a8ab1ee264db | [
"BSD-2-Clause"
] | null | null | null | onadata/apps/logger/management/commands/sync_deleted_instances_fix.py | ubpd/kobocat | 45906e07e8f05c30e3e26bab5570a8ab1ee264db | [
"BSD-2-Clause"
] | null | null | null | onadata/apps/logger/management/commands/sync_deleted_instances_fix.py | ubpd/kobocat | 45906e07e8f05c30e3e26bab5570a8ab1ee264db | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# vim: ai ts=4 sts=4 et sw=4 fileencoding=utf-8
# coding: utf-8
from __future__ import unicode_literals, print_function, division, absolute_import
import json
from django.conf import settings
from django.core.management import BaseCommand
from django.utils import timezone
from django.utils.datep... | 36.688889 | 82 | 0.63295 | 193 | 1,651 | 5.227979 | 0.518135 | 0.098117 | 0.044599 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004195 | 0.278013 | 1,651 | 44 | 83 | 37.522727 | 0.842282 | 0.11387 | 0 | 0 | 0 | 0 | 0.105697 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.258065 | 0 | 0.354839 | 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 |
6b63ba2575b08e6d1979a05d2e94572ca308d8dd | 1,149 | py | Python | YOLO TESTS/grobotUtils.py | Lilly7777/GRobot---Server | d6261b72215ba0cdc281387c23427b04b2a9311d | [
"MIT"
] | null | null | null | YOLO TESTS/grobotUtils.py | Lilly7777/GRobot---Server | d6261b72215ba0cdc281387c23427b04b2a9311d | [
"MIT"
] | null | null | null | YOLO TESTS/grobotUtils.py | Lilly7777/GRobot---Server | d6261b72215ba0cdc281387c23427b04b2a9311d | [
"MIT"
] | null | null | null |
def convertBack(x, y, w, h):
xmin = int(round(x - (w / 2)))
xmax = int(round(x + (w / 2)))
ymin = int(round(y - (h / 2)))
ymax = int(round(y + (h / 2)))
return xmin, ymin, xmax, ymax
def cvDrawBoxes(detections, img):
# Colored labels dictionary
color_dict = {
'Tin can' : [0, 255, ... | 32.828571 | 80 | 0.442124 | 138 | 1,149 | 3.601449 | 0.384058 | 0.064386 | 0.012072 | 0.016097 | 0.088531 | 0 | 0 | 0 | 0 | 0 | 0 | 0.06006 | 0.420366 | 1,149 | 35 | 81 | 32.828571 | 0.686186 | 0.021758 | 0 | 0 | 0 | 0 | 0.01426 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0 | 0 | 0.133333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b6c4918437ff01fd308871c7f88d92fe127782e | 7,590 | py | Python | offrl/base.py | dlqudwns/RepB-SDE | d799c3bbfc9aeca9251dfa84255d1c1b90af42ce | [
"MIT"
] | null | null | null | offrl/base.py | dlqudwns/RepB-SDE | d799c3bbfc9aeca9251dfa84255d1c1b90af42ce | [
"MIT"
] | null | null | null | offrl/base.py | dlqudwns/RepB-SDE | d799c3bbfc9aeca9251dfa84255d1c1b90af42ce | [
"MIT"
] | null | null | null | import numpy as np
import tensorflow as tf
import tensorflow_probability as tfp
SCALE_DIAG_MIN_MAX = (-20, 2)
EPS = 1e-6
def apply_squashing_func(sample, logp):
"""
Squash the ouput of the gaussian distribution and account for that in the log probability.
:param sample: (tf.Tensor) Action sampled from Ga... | 40.15873 | 100 | 0.645059 | 1,081 | 7,590 | 4.314524 | 0.148011 | 0.03452 | 0.036235 | 0.038593 | 0.378859 | 0.354631 | 0.246355 | 0.216124 | 0.189751 | 0.155446 | 0 | 0.013297 | 0.227141 | 7,590 | 188 | 101 | 40.37234 | 0.781793 | 0.045323 | 0 | 0.119718 | 0 | 0 | 0.011646 | 0 | 0 | 0 | 0 | 0 | 0.007042 | 1 | 0.15493 | false | 0 | 0.021127 | 0.021127 | 0.316901 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b6d4190127b487993f75e4be2892ed1328ace49 | 3,565 | py | Python | skinematics/sensors/xio.py | mohataher/scikit-kinematics | fa8c80c13981310666e22dcd35138be1af1b4318 | [
"BSD-3-Clause"
] | null | null | null | skinematics/sensors/xio.py | mohataher/scikit-kinematics | fa8c80c13981310666e22dcd35138be1af1b4318 | [
"BSD-3-Clause"
] | null | null | null | skinematics/sensors/xio.py | mohataher/scikit-kinematics | fa8c80c13981310666e22dcd35138be1af1b4318 | [
"BSD-3-Clause"
] | 1 | 2021-11-02T22:53:23.000Z | 2021-11-02T22:53:23.000Z | '''
Import data saved with XIO-sensors
'''
'''
Author: Thomas Haslwanter
Version: 0.2
Date: May-2016
'''
import os
import pandas as pd
def read_ratefile(reg_file):
'''Read send-rates from an XIO sensor.
"Disabled" channels have the "rate" set to "None".
Parameters
----------
in_file : string... | 24.756944 | 64 | 0.520898 | 397 | 3,565 | 4.528967 | 0.332494 | 0.030033 | 0.010011 | 0.024472 | 0.167964 | 0.167964 | 0.14683 | 0.14683 | 0 | 0 | 0 | 0.011989 | 0.368303 | 3,565 | 143 | 65 | 24.93007 | 0.786412 | 0.349229 | 0 | 0.04 | 0 | 0 | 0.116667 | 0.023958 | 0 | 0 | 0 | 0 | 0.02 | 1 | 0.06 | false | 0 | 0.04 | 0 | 0.16 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b6de959719deda0bcf0d3617c5c148c46c3e48d | 2,166 | py | Python | zcls/util/cutmix.py | ZJCV/PyCls | 1ef59301646b6134f2ffcc009b4fd76550fa4089 | [
"Apache-2.0"
] | 110 | 2021-02-04T14:32:57.000Z | 2022-03-30T01:51:56.000Z | zcls/util/cutmix.py | ZJCV/PyCls | 1ef59301646b6134f2ffcc009b4fd76550fa4089 | [
"Apache-2.0"
] | 8 | 2021-04-11T02:46:57.000Z | 2021-12-14T19:30:58.000Z | zcls/util/cutmix.py | ZJCV/PyCls | 1ef59301646b6134f2ffcc009b4fd76550fa4089 | [
"Apache-2.0"
] | 20 | 2021-02-07T14:17:07.000Z | 2022-03-22T05:20:40.000Z | # -*- coding: utf-8 -*-
"""
@date: 2021/7/26 下午10:10
@file: cutmix.py
@author: zj
@description:
refer to [ clovaai/CutMix-PyTorch](https://github.com/clovaai/CutMix-PyTorch)
"""
import torch
import numpy as np
from zcls.config.key_word import KEY_LOSS
def rand_bbox(size, lam):
W = size[2]
H = size[3]
... | 26.740741 | 106 | 0.645891 | 346 | 2,166 | 3.83237 | 0.289017 | 0.036953 | 0.064103 | 0.040724 | 0.13273 | 0.104072 | 0.045249 | 0.045249 | 0 | 0 | 0 | 0.033392 | 0.211911 | 2,166 | 80 | 107 | 27.075 | 0.743409 | 0.124654 | 0 | 0 | 0 | 0 | 0.001603 | 0 | 0 | 0 | 0 | 0 | 0.02381 | 1 | 0.095238 | false | 0 | 0.071429 | 0 | 0.261905 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b707cd697e11ff349acb292012f7c6bd2f868a2 | 4,625 | py | Python | jsk_2015_05_baxter_apc/node_scripts/common.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | null | null | null | jsk_2015_05_baxter_apc/node_scripts/common.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | 2 | 2019-04-11T05:36:23.000Z | 2019-08-19T12:58:10.000Z | jsk_2015_05_baxter_apc/node_scripts/common.py | pazeshun/jsk_apc | 0ff42000ad5992f8a31e719a5360a39cf4fa1fde | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
import os
import yaml
import gzip
import cPickle as pickle
import cv2
from catkin import terminal_color
import rospy
from jsk_2015_05_baxter_apc.srv import ObjectMatch, ObjectMatchResponse
def get_data_dir():
data_dir = os.path.join(os.path.dirname(os.path.abspath... | 32.570423 | 82 | 0.592432 | 603 | 4,625 | 4.334992 | 0.253731 | 0.064269 | 0.038256 | 0.026779 | 0.142311 | 0.047437 | 0.016832 | 0 | 0 | 0 | 0 | 0.010086 | 0.292541 | 4,625 | 141 | 83 | 32.801418 | 0.788814 | 0.068973 | 0 | 0.100917 | 0 | 0 | 0.070459 | 0.00515 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091743 | false | 0 | 0.073395 | 0 | 0.266055 | 0.027523 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b71925db630f1e5d7b40afa3a4eea245f2b4272 | 372 | py | Python | examples/timer.py | TeskaLabs/asab | f28894b62bad192d8d30df01a8ad1b842ee2a2fb | [
"BSD-3-Clause"
] | 23 | 2018-03-07T18:58:13.000Z | 2022-03-29T17:11:47.000Z | examples/timer.py | TeskaLabs/asab | f28894b62bad192d8d30df01a8ad1b842ee2a2fb | [
"BSD-3-Clause"
] | 87 | 2018-04-04T19:44:13.000Z | 2022-03-31T11:18:00.000Z | examples/timer.py | TeskaLabs/asab | f28894b62bad192d8d30df01a8ad1b842ee2a2fb | [
"BSD-3-Clause"
] | 10 | 2018-04-30T16:40:25.000Z | 2022-03-09T10:55:24.000Z | #!/usr/bin/env python3
import asab
class TimerApplication(asab.Application):
async def initialize(self):
# The timer will trigger a message publishing at every second
self.Timer = asab.Timer(self, self.on_tick, autorestart=True)
self.Timer.start(1)
async def on_tick(self):
print("Think!")
if __name__ ... | 17.714286 | 63 | 0.723118 | 52 | 372 | 4.980769 | 0.692308 | 0.061776 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006369 | 0.155914 | 372 | 20 | 64 | 18.6 | 0.818471 | 0.217742 | 0 | 0 | 0 | 0 | 0.048443 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.2 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b720ba819c29547ae26389980f418117f2a4a29 | 26,708 | py | Python | main.py | ikarmus2001/DziekanBOT | 393df5b5d4bdfa6e34bd44da0cca8e97fa51e46a | [
"MIT"
] | 2 | 2021-02-22T16:38:08.000Z | 2021-02-23T12:26:29.000Z | main.py | ikarmus2001/DziekanBOT | 393df5b5d4bdfa6e34bd44da0cca8e97fa51e46a | [
"MIT"
] | null | null | null | main.py | ikarmus2001/DziekanBOT | 393df5b5d4bdfa6e34bd44da0cca8e97fa51e46a | [
"MIT"
] | 1 | 2021-02-22T10:48:38.000Z | 2021-02-22T10:48:38.000Z | import discord as dc
from dotenv import load_dotenv
from os import getenv
import datetime as dt
import json, string
load_dotenv()
#*#*#*# variables #*#*#*#
config_relative_path = getenv("CONFIG")
database_relative_path = getenv("DATABASE")
token = getenv("TOKEN")
#*#*#*#*#*#*#*#*#*#*#*#*#
with open(co... | 48.648452 | 193 | 0.545305 | 3,087 | 26,708 | 4.650794 | 0.139294 | 0.037612 | 0.039075 | 0.019921 | 0.425994 | 0.332939 | 0.288361 | 0.227137 | 0.18841 | 0.153375 | 0 | 0.008326 | 0.338962 | 26,708 | 549 | 194 | 48.648452 | 0.804758 | 0.074734 | 0 | 0.307865 | 0 | 0.006742 | 0.178333 | 0.020124 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017978 | false | 0 | 0.011236 | 0 | 0.080899 | 0.013483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b7335fdc121bab7e4b361e779e47bb56e5672d8 | 6,635 | py | Python | filter_cube.py | jd-au/thor-hi | 16a1326fcfe2ffaac496d2576b8727ca2f12dc9b | [
"Apache-2.0"
] | null | null | null | filter_cube.py | jd-au/thor-hi | 16a1326fcfe2ffaac496d2576b8727ca2f12dc9b | [
"Apache-2.0"
] | null | null | null | filter_cube.py | jd-au/thor-hi | 16a1326fcfe2ffaac496d2576b8727ca2f12dc9b | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python -u
# Filter out emission from a THOR HI cube. Will 2D Fourier transform each plane of the cube and zero out the centre
# of the Fourier image and then inverse Fouroer transform back to the image domain. This produces a cube without the
# large scale emission
# Author James Dempsey
# Date 26 Nov ... | 32.52451 | 119 | 0.677468 | 958 | 6,635 | 4.585595 | 0.235908 | 0.043706 | 0.02595 | 0.020487 | 0.288869 | 0.213522 | 0.190758 | 0.151605 | 0.151605 | 0.131118 | 0 | 0.015577 | 0.216277 | 6,635 | 203 | 120 | 32.684729 | 0.829231 | 0.312283 | 0 | 0.121212 | 0 | 0 | 0.150137 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.10101 | false | 0 | 0.070707 | 0 | 0.262626 | 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 |
6b7384092723174901fdb2fe1b0d1247ce21ab53 | 2,383 | py | Python | niscv_v2/experiments/simulation/resampling_ratio.py | IanFla/Importance-Sampling | f2dd2164e95377d2cf025fcddd19b2592394e4d7 | [
"Apache-2.0"
] | null | null | null | niscv_v2/experiments/simulation/resampling_ratio.py | IanFla/Importance-Sampling | f2dd2164e95377d2cf025fcddd19b2592394e4d7 | [
"Apache-2.0"
] | null | null | null | niscv_v2/experiments/simulation/resampling_ratio.py | IanFla/Importance-Sampling | f2dd2164e95377d2cf025fcddd19b2592394e4d7 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import scipy.stats as st
from niscv_v2.basics.exp import Exp
from niscv_v2.basics import utils
import multiprocessing
import os
from functools import partial
from datetime import datetime as dt
import pickle
def experiment(dim, fun, size_est, sn, show, size_kn, ratio, bootstrap):
mean = np.zero... | 30.164557 | 100 | 0.632396 | 332 | 2,383 | 4.436747 | 0.376506 | 0.040733 | 0.01833 | 0.02444 | 0.131025 | 0.050917 | 0.050917 | 0.050917 | 0 | 0 | 0 | 0.04057 | 0.234578 | 2,383 | 78 | 101 | 30.551282 | 0.766996 | 0 | 0 | 0.047619 | 0 | 0 | 0.045741 | 0.018884 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.222222 | 0.031746 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b7b7ed1542c5197c3dec6914240d11b49526c97 | 4,649 | py | Python | engraving/engraving.py | catt0/lostarkthings | 72d8756d899c01e19884eebd3978d965f9073bba | [
"MIT"
] | 1 | 2022-03-24T12:29:54.000Z | 2022-03-24T12:29:54.000Z | engraving/engraving.py | catt0/lostarkthings | 72d8756d899c01e19884eebd3978d965f9073bba | [
"MIT"
] | null | null | null | engraving/engraving.py | catt0/lostarkthings | 72d8756d899c01e19884eebd3978d965f9073bba | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# MIT License
# Copyright (c) 2022 catt0
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy,... | 33.446043 | 178 | 0.670897 | 632 | 4,649 | 4.829114 | 0.371835 | 0.032438 | 0.026212 | 0.024902 | 0.201507 | 0.172674 | 0.172674 | 0.135321 | 0.135321 | 0.087156 | 0 | 0.009923 | 0.241342 | 4,649 | 138 | 179 | 33.688406 | 0.855401 | 0.449989 | 0 | 0.24 | 0 | 0 | 0.059992 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026667 | false | 0 | 0.026667 | 0.013333 | 0.2 | 0.146667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b7cc6ba3cb5669cb102ecb6c5ae731e244b2f55 | 4,447 | py | Python | tests/topo_test.py | dlgeorge/geoclaw | 2b4ce9b1ba2532fe3ac38ee7c05297eb61e45bd1 | [
"BSD-3-Clause"
] | null | null | null | tests/topo_test.py | dlgeorge/geoclaw | 2b4ce9b1ba2532fe3ac38ee7c05297eb61e45bd1 | [
"BSD-3-Clause"
] | 2 | 2018-11-05T19:41:12.000Z | 2019-03-19T00:03:38.000Z | tests/topo_test.py | BrisaDavis/geoclaw | ccab58669bc2950de13cf0f35c10b3cd1cb1cda6 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
# encoding: utf-8
from __future__ import absolute_import
from __future__ import print_function
import os
import glob
import tempfile
import matplotlib.pyplot as plt
from clawpack.geoclaw import topotools
import clawpack.geoclaw.topo as topo
import numpy as np
def test1():
"""
Make two... | 28.690323 | 83 | 0.555431 | 600 | 4,447 | 3.993333 | 0.238333 | 0.033389 | 0.029215 | 0.040902 | 0.397746 | 0.390234 | 0.345993 | 0.342654 | 0.250417 | 0.250417 | 0 | 0.033473 | 0.301327 | 4,447 | 155 | 84 | 28.690323 | 0.737689 | 0.089723 | 0 | 0.174757 | 0 | 0 | 0.106485 | 0 | 0 | 0 | 0 | 0 | 0.058252 | 1 | 0.048544 | false | 0 | 0.087379 | 0 | 0.145631 | 0.058252 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b7cddd851735817010a31afc1a8841a61a5dfc8 | 3,443 | py | Python | moveit/moveit.py | pavel-paulau/moveit | 9572f3b4330b058c4cb324c774fff443a1ccb2f9 | [
"Apache-2.0"
] | 2 | 2015-09-28T13:54:43.000Z | 2015-09-28T16:59:43.000Z | moveit/moveit.py | pavel-paulau/moveit | 9572f3b4330b058c4cb324c774fff443a1ccb2f9 | [
"Apache-2.0"
] | null | null | null | moveit/moveit.py | pavel-paulau/moveit | 9572f3b4330b058c4cb324c774fff443a1ccb2f9 | [
"Apache-2.0"
] | 1 | 2020-03-10T20:17:28.000Z | 2020-03-10T20:17:28.000Z | #!/usr/bin/env python
import argparse
import json
from collections import defaultdict
def read_data(fname):
raw_data = defaultdict(list)
with open(fname) as fh:
for line in fh.readlines():
event = json.loads(line.strip())
if event['type'] == 'rebalanceStart': # only last rebal... | 32.481132 | 79 | 0.598606 | 415 | 3,443 | 4.836145 | 0.286747 | 0.044843 | 0.027902 | 0.028401 | 0.126059 | 0.108122 | 0.064773 | 0.028899 | 0 | 0 | 0 | 0.007197 | 0.273599 | 3,443 | 105 | 80 | 32.790476 | 0.795282 | 0.013651 | 0 | 0.072289 | 0 | 0 | 0.103712 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084337 | false | 0.012048 | 0.036145 | 0 | 0.156627 | 0.036145 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b7e960044cdd21ef1c64e33f14c9a00d918de92 | 516 | py | Python | print_spelling_suggestions.py | tmills/econsult | a702948278bd9995623026702bcd4c4c9bd47159 | [
"Apache-2.0"
] | null | null | null | print_spelling_suggestions.py | tmills/econsult | a702948278bd9995623026702bcd4c4c9bd47159 | [
"Apache-2.0"
] | 3 | 2021-03-25T22:10:23.000Z | 2021-06-01T22:48:12.000Z | print_spelling_suggestions.py | tmills/econsult | a702948278bd9995623026702bcd4c4c9bd47159 | [
"Apache-2.0"
] | 1 | 2019-04-12T19:02:12.000Z | 2019-04-12T19:02:12.000Z | #!/usr/bin/env python
from pattern.en import spelling
import sys
def main(args):
if len(args) < 1:
sys.stderr.write("1 required argument: <input file>")
with open(args[0], 'r') as f:
for line in f.readlines():
word = line.rstrip()
try:
suggestions ... | 24.571429 | 61 | 0.542636 | 63 | 516 | 4.31746 | 0.698413 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011429 | 0.321705 | 516 | 21 | 62 | 24.571429 | 0.765714 | 0.03876 | 0 | 0 | 0 | 0 | 0.122984 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.2 | 0.066667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b7f23ac39d6f288d7f8df3e114d47ba4ac7749a | 391 | py | Python | setup.py | opalmer/vpsutil | 3d589f0c6184a9ca79f0a96af1181bc4466b7095 | [
"MIT"
] | null | null | null | setup.py | opalmer/vpsutil | 3d589f0c6184a9ca79f0a96af1181bc4466b7095 | [
"MIT"
] | null | null | null | setup.py | opalmer/vpsutil | 3d589f0c6184a9ca79f0a96af1181bc4466b7095 | [
"MIT"
] | null | null | null | from distutils.core import setup
requires = ["requests", "paramiko"]
try:
import configparser
except ImportError:
requires.append("configparser")
setup(
name="vpsutil",
version="0.0.0",
license="MIT",
packages=["vpsutil"],
install_requires=requires,
entry_points={
"console_scr... | 17.772727 | 43 | 0.618926 | 38 | 391 | 6.289474 | 0.710526 | 0.016736 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010169 | 0.245524 | 391 | 21 | 44 | 18.619048 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0.240409 | 0.053708 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 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 |
6b7fffb88d3d8522751df917d4f9168bc42ba45e | 4,117 | py | Python | aitlas/datasets/sat6.py | biasvariancelabs/aitlas | e36913c44d5a8393566b7271607ba839f9be0df3 | [
"MIT"
] | 32 | 2020-12-04T19:48:19.000Z | 2022-03-16T18:18:05.000Z | aitlas/datasets/sat6.py | biasvariancelabs/aitlas | e36913c44d5a8393566b7271607ba839f9be0df3 | [
"MIT"
] | 2 | 2021-04-11T17:09:14.000Z | 2021-05-14T13:22:41.000Z | aitlas/datasets/sat6.py | biasvariancelabs/aitlas | e36913c44d5a8393566b7271607ba839f9be0df3 | [
"MIT"
] | 8 | 2021-04-06T22:06:27.000Z | 2022-01-30T06:01:39.000Z | import csv
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
import scipy.io
import numpy as np
import random
from ..base import BaseDataset
from .schemas import MatDatasetSchema
"""
The format of the mat dataset is:
train_x 28x28x4x400000 uint8 (containing 400000 training samples of 28x28 ima... | 35.188034 | 103 | 0.621326 | 545 | 4,117 | 4.557798 | 0.321101 | 0.022544 | 0.014493 | 0.014493 | 0.153784 | 0.113527 | 0.099034 | 0.099034 | 0.034622 | 0.034622 | 0 | 0.039643 | 0.264756 | 4,117 | 116 | 104 | 35.491379 | 0.780971 | 0.057323 | 0 | 0.074074 | 0 | 0 | 0.112581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.111111 | 0.024691 | 0.382716 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b8206189230c459d344d826bd836366d971ebcf | 6,768 | py | Python | src/config_gui.py | blaubachn/slideshow | 8f87db77502ee89a689a884ac2455d4019b20363 | [
"MIT"
] | null | null | null | src/config_gui.py | blaubachn/slideshow | 8f87db77502ee89a689a884ac2455d4019b20363 | [
"MIT"
] | null | null | null | src/config_gui.py | blaubachn/slideshow | 8f87db77502ee89a689a884ac2455d4019b20363 | [
"MIT"
] | null | null | null | import gi
gi.require_version('Gtk', '3.0')
from gi.repository import Gtk
from config import Configuration_Manager
about_text = '''Welcome to Slideshow!
Photo Directory: The remote will diplay a slideshow of the photos in this folder (excluding photos in it's subfolders)
Installation Type: flatpak commands have an ext... | 45.12 | 120 | 0.494385 | 620 | 6,768 | 5.154839 | 0.254839 | 0.048811 | 0.059136 | 0.037547 | 0.241239 | 0.185544 | 0.119524 | 0.103254 | 0.103254 | 0.103254 | 0 | 0.009506 | 0.207299 | 6,768 | 149 | 121 | 45.422819 | 0.586207 | 0.253694 | 0 | 0.10989 | 0 | 0.043956 | 0.152161 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.065934 | false | 0 | 0.032967 | 0 | 0.10989 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b834a7d97ab58b448634df72525ae3e7aa49bda | 391 | py | Python | PythonExercicios/ex033.py | Lucas-ns/Python-3-Curso-Em-Video | f6d338fffd7a4606d34fab09634eea0fe4b3dfb3 | [
"MIT"
] | null | null | null | PythonExercicios/ex033.py | Lucas-ns/Python-3-Curso-Em-Video | f6d338fffd7a4606d34fab09634eea0fe4b3dfb3 | [
"MIT"
] | null | null | null | PythonExercicios/ex033.py | Lucas-ns/Python-3-Curso-Em-Video | f6d338fffd7a4606d34fab09634eea0fe4b3dfb3 | [
"MIT"
] | null | null | null | n1 = int(input('Primeiro Valor: '))
n2 = int(input('Segundo Valor: '))
n3 = int(input('Terceiro Valor: '))
maior = n1
menor = n1
if n2 < n3 and n2 < n1:
menor = n2
if n3 < n2 and n3 < n1:
menor = n3
print('O menor valor digitado foi {}'.format(menor))
if n2 > n3 and n2 > n1:
maior = n2
if n3 > n2 and n3 > n... | 24.4375 | 52 | 0.608696 | 67 | 391 | 3.552239 | 0.268657 | 0.10084 | 0.05042 | 0.07563 | 0.235294 | 0.235294 | 0.12605 | 0 | 0 | 0 | 0 | 0.083893 | 0.237852 | 391 | 15 | 53 | 26.066667 | 0.714765 | 0 | 0 | 0 | 0 | 0 | 0.268542 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.133333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b85c3711ce945544b892923a3692a030d199f9f | 2,705 | py | Python | processing/data_collection/gazette/spiders/rj_rio_de_janeiro.py | gabubellon/querido-diario | b783dac359b86121173286869a8e0bbd31cf22af | [
"MIT"
] | null | null | null | processing/data_collection/gazette/spiders/rj_rio_de_janeiro.py | gabubellon/querido-diario | b783dac359b86121173286869a8e0bbd31cf22af | [
"MIT"
] | null | null | null | processing/data_collection/gazette/spiders/rj_rio_de_janeiro.py | gabubellon/querido-diario | b783dac359b86121173286869a8e0bbd31cf22af | [
"MIT"
] | null | null | null | from gazette.items import Gazette
import datetime as dt
import re
import scrapy
from gazette.spiders.base import BaseGazetteSpider
class RjRioDeJaneiroSpider(BaseGazetteSpider):
TERRITORY_ID = "3304557"
name = "rj_rio_de_janeiro"
allowed_domains = ["doweb.rio.rj.gov.br"]
start_urls = ["http://doweb.ri... | 38.642857 | 121 | 0.607024 | 332 | 2,705 | 4.722892 | 0.355422 | 0.042092 | 0.044643 | 0.033163 | 0.335459 | 0.249362 | 0.237245 | 0.211735 | 0.0625 | 0.0625 | 0 | 0.021069 | 0.280592 | 2,705 | 69 | 122 | 39.202899 | 0.784687 | 0.017006 | 0 | 0.067797 | 0 | 0.033898 | 0.176958 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.050847 | false | 0 | 0.084746 | 0.016949 | 0.305085 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b86ad80d46cd8819ce8434a7d769597836cdf0f | 3,502 | py | Python | 2c-AutopilotByColorSegmentation.py | Branyac/tello-innovation-challenge | 173087677bf2f964785ab76fae146b12e352ee0b | [
"MIT"
] | 1 | 2022-01-30T19:34:45.000Z | 2022-01-30T19:34:45.000Z | 2c-AutopilotByColorSegmentation.py | Branyac/tello-innovation-challenge | 173087677bf2f964785ab76fae146b12e352ee0b | [
"MIT"
] | null | null | null | 2c-AutopilotByColorSegmentation.py | Branyac/tello-innovation-challenge | 173087677bf2f964785ab76fae146b12e352ee0b | [
"MIT"
] | 1 | 2021-06-23T04:13:43.000Z | 2021-06-23T04:13:43.000Z | from djitellopy import Tello
import cv2
import numpy as np
import time
# Values for color segmentation
# It match an orange battery
LOWER = np.array([0, 239, 180])
UPPER = np.array([30, 255, 255])
DESIRED_OBJECT_SIZE = 100
MAX_SPEED_FORWARDBACK = 50
MAX_SPEED_UPDOWN = 50
MAX_SPEED_YAW = 100
MIN_MOV_TIME = 0.15
def ... | 35.734694 | 153 | 0.58538 | 454 | 3,502 | 4.288546 | 0.354626 | 0.032871 | 0.026194 | 0.027735 | 0.114535 | 0.053416 | 0.053416 | 0 | 0 | 0 | 0 | 0.040842 | 0.321816 | 3,502 | 98 | 154 | 35.734694 | 0.778947 | 0.161622 | 0 | 0.03125 | 0 | 0 | 0.004796 | 0 | 0 | 0 | 0.00137 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.0625 | 0 | 0.109375 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b8a00b506487aff2b0ea1fefe241cb675cb897d | 4,169 | py | Python | gcloud/commons/tastypie/resources.py | springborland/bk-sops | a9057672c10efb5f2414a805a30ead4092429c76 | [
"Apache-2.0"
] | 1 | 2021-05-19T04:31:34.000Z | 2021-05-19T04:31:34.000Z | gcloud/commons/tastypie/resources.py | sighttviewliu/bk-sops | 6bf2f38bd93990f20f7c3a4decafc310e09e679c | [
"Apache-2.0"
] | null | null | null | gcloud/commons/tastypie/resources.py | sighttviewliu/bk-sops | 6bf2f38bd93990f20f7c3a4decafc310e09e679c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Tencent is pleased to support the open source community by making 蓝鲸智云PaaS平台社区版 (BlueKing PaaS Community
Edition) available.
Copyright (C) 2017-2020 THL A29 Limited, a Tencent company. All rights reserved.
Licensed under the MIT License (the "License"); you may not use this file except in co... | 35.939655 | 115 | 0.633245 | 478 | 4,169 | 5.39749 | 0.449791 | 0.023256 | 0.032558 | 0.017442 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006981 | 0.278484 | 4,169 | 115 | 116 | 36.252174 | 0.850731 | 0.277285 | 0 | 0.04918 | 0 | 0 | 0.053873 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098361 | false | 0 | 0.114754 | 0 | 0.327869 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b8ba5e38a11991c07975fe01f68ff669ab459c0 | 811 | py | Python | badx12/common/click.py | agaddis02/badX12 | 7362a4d9629e570be8cd3b42af5210cda39e0efc | [
"MIT"
] | null | null | null | badx12/common/click.py | agaddis02/badX12 | 7362a4d9629e570be8cd3b42af5210cda39e0efc | [
"MIT"
] | null | null | null | badx12/common/click.py | agaddis02/badX12 | 7362a4d9629e570be8cd3b42af5210cda39e0efc | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
from collections import Iterable
import click
def add_commands(click_group, commands):
if not isinstance(click_group, click.core.Group):
raise TypeError(
f"add_commands() expects click.core.Group for click_group, got {type(click_group)}"
)
if not isinstanc... | 30.037037 | 103 | 0.633785 | 99 | 811 | 5.10101 | 0.313131 | 0.106931 | 0.110891 | 0.091089 | 0.312871 | 0.215842 | 0 | 0 | 0 | 0 | 0 | 0.001698 | 0.273736 | 811 | 26 | 104 | 31.192308 | 0.855688 | 0.025894 | 0 | 0.157895 | 0 | 0.052632 | 0.30203 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b8d70280f0cb0d3625c06ba1c69384706890a4a | 2,602 | py | Python | sequence/fastx_translate.py | shenwei356/bio_scripts | 703cec8d21903516346e2aae4d77d23385c30905 | [
"MIT"
] | 94 | 2015-03-26T04:32:29.000Z | 2022-03-22T13:44:11.000Z | sequence/fastx_translate.py | xinwang-bio/bio_scripts | 64fda3a72ba14edf87952a809c3d52871f155cca | [
"MIT"
] | null | null | null | sequence/fastx_translate.py | xinwang-bio/bio_scripts | 64fda3a72ba14edf87952a809c3d52871f155cca | [
"MIT"
] | 70 | 2015-04-01T10:27:05.000Z | 2021-11-08T01:46:39.000Z | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# https://github.com/shenwei356/bio_scripts
from __future__ import print_function
import argparse
import gzip
import logging
import os
import re
import sys
from Bio import SeqIO
from Bio.Seq import Seq
from Bio.SeqRecord import SeqRecord
def parse_args():
parser = a... | 35.162162 | 130 | 0.601076 | 350 | 2,602 | 4.365714 | 0.365714 | 0.05301 | 0.020942 | 0.021597 | 0.130236 | 0.065445 | 0.045812 | 0.045812 | 0 | 0 | 0 | 0.005691 | 0.25711 | 2,602 | 73 | 131 | 35.643836 | 0.78479 | 0.038816 | 0 | 0.071429 | 0 | 0.035714 | 0.257509 | 0.036844 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.178571 | 0 | 0.214286 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b90cf31e44e1e7e27466082bc57a29d138e03cf | 7,345 | py | Python | pyfilter/test/test_filter.py | zkscpqm/pyfilter | 39c284681ec6f377059907b75346028d99cbdd4c | [
"MIT"
] | null | null | null | pyfilter/test/test_filter.py | zkscpqm/pyfilter | 39c284681ec6f377059907b75346028d99cbdd4c | [
"MIT"
] | 1 | 2021-04-28T18:40:13.000Z | 2021-04-28T18:40:13.000Z | pyfilter/test/test_filter.py | zkscpqm/pyfilter | 39c284681ec6f377059907b75346028d99cbdd4c | [
"MIT"
] | null | null | null | import unittest
import os
from typing import Any, Text, NoReturn, Set, Union
from parameterized import parameterized
from pyfilter import FilterContext
from pyfilter import TextFilter
class TestFilter(unittest.TestCase):
def setUp(self) -> Any:
self.any_inclusion_keywords: Set[Text] = {'dog', 'cat'}
... | 53.224638 | 116 | 0.644384 | 798 | 7,345 | 5.659148 | 0.150376 | 0.150576 | 0.088574 | 0.099646 | 0.568202 | 0.499114 | 0.45992 | 0.45992 | 0.348981 | 0.242693 | 0 | 0.001503 | 0.275425 | 7,345 | 137 | 117 | 53.613139 | 0.84705 | 0 | 0 | 0.144068 | 0 | 0 | 0.188913 | 0.027377 | 0 | 0 | 0 | 0 | 0.169492 | 1 | 0.067797 | false | 0.016949 | 0.050847 | 0 | 0.127119 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b934399f266b4f9c4b7a0180b20fcdaa634e13b | 4,263 | py | Python | tests/conftest.py | Dimfred/imxpy | 289a67fa51ef7b33ee106a65ad69340d07c986b3 | [
"MIT"
] | 13 | 2021-12-11T11:52:32.000Z | 2022-03-11T12:58:56.000Z | tests/conftest.py | Dimfred/imxpy | 289a67fa51ef7b33ee106a65ad69340d07c986b3 | [
"MIT"
] | 1 | 2021-12-19T19:15:29.000Z | 2021-12-26T14:09:16.000Z | tests/conftest.py | Dimfred/imxpy | 289a67fa51ef7b33ee106a65ad69340d07c986b3 | [
"MIT"
] | 1 | 2022-01-10T15:01:04.000Z | 2022-01-10T15:01:04.000Z | from pathlib import Path
import sys
import time
# add parent dir of imxpy
sys.path.insert(0, str(Path(__file__).parent.parent.parent))
from easydict import EasyDict as edict
import pytest
from imx_client import IMXClient
from imx_objects import *
def random_number():
import random
return random.randint(0... | 21.861538 | 84 | 0.697162 | 475 | 4,263 | 6.086316 | 0.277895 | 0.089934 | 0.066413 | 0.071947 | 0.198893 | 0.110688 | 0.067797 | 0.067797 | 0.067797 | 0.037357 | 0 | 0.132842 | 0.203612 | 4,263 | 194 | 85 | 21.974227 | 0.718704 | 0.046915 | 0 | 0.34375 | 0 | 0 | 0.192213 | 0.148595 | 0 | 0 | 0.093149 | 0 | 0 | 1 | 0.171875 | false | 0 | 0.070313 | 0.09375 | 0.40625 | 0.007813 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b93c4cb81d74f0acde8f0cc82aaa2e1626a119a | 1,088 | py | Python | off_policy_rl/off_policy_rl/utils/epoch.py | dti-research/ur-learning-shifting-for-grasping | 2dfecf6b2dbe67b65af00fc0ae5f73be2cb8a801 | [
"BSD-3-Clause"
] | 1 | 2021-04-12T07:04:26.000Z | 2021-04-12T07:04:26.000Z | off_policy_rl/off_policy_rl/utils/epoch.py | dti-research/ur-learning-shifting-for-grasping | 2dfecf6b2dbe67b65af00fc0ae5f73be2cb8a801 | [
"BSD-3-Clause"
] | 1 | 2021-11-10T15:51:15.000Z | 2021-11-10T15:51:15.000Z | off_policy_rl/off_policy_rl/utils/epoch.py | dti-research/ur-learning-shifting-for-grasping | 2dfecf6b2dbe67b65af00fc0ae5f73be2cb8a801 | [
"BSD-3-Clause"
] | null | null | null | from typing import List
import numpy as np
from off_policy_rl.utils.selection_method import SelectionMethod
class Epoch:
def __init__(
self,
number_episodes: int,
selection_methods: List[SelectionMethod],
probabilities: List[float] = None
):
self.number_episodes = numb... | 35.096774 | 106 | 0.661765 | 121 | 1,088 | 5.793388 | 0.404959 | 0.182596 | 0.085592 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008728 | 0.262868 | 1,088 | 30 | 107 | 36.266667 | 0.865337 | 0 | 0 | 0 | 0 | 0 | 0.118566 | 0 | 0 | 0 | 0 | 0 | 0.086957 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.347826 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b947dc36dc1850a2e02965bc2a02ae7eeca3cad | 11,761 | py | Python | model/deterministic_decoder.py | illc-uva/deep-generative-lm | c65bdf9d72e7d9d4e02576b1e84bce623725a0cd | [
"MIT"
] | 26 | 2019-04-18T13:07:34.000Z | 2021-03-24T11:55:26.000Z | model/deterministic_decoder.py | illc-uva/deep-generative-lm | c65bdf9d72e7d9d4e02576b1e84bce623725a0cd | [
"MIT"
] | null | null | null | model/deterministic_decoder.py | illc-uva/deep-generative-lm | c65bdf9d72e7d9d4e02576b1e84bce623725a0cd | [
"MIT"
] | 9 | 2019-04-18T23:00:46.000Z | 2021-09-23T15:34:56.000Z | """
A deterministic decoder.
"""
import numpy as np
import sys
import os.path as osp
from collections import defaultdict
from warnings import warn
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
# We include the path of the t... | 45.762646 | 122 | 0.596803 | 1,677 | 11,761 | 4.013119 | 0.206917 | 0.011887 | 0.026746 | 0.007132 | 0.218276 | 0.168053 | 0.150074 | 0.108172 | 0.100743 | 0.093314 | 0 | 0.009768 | 0.303631 | 11,761 | 256 | 123 | 45.941406 | 0.811966 | 0.310348 | 0 | 0.2 | 0 | 0 | 0.025168 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045161 | false | 0.012903 | 0.070968 | 0.006452 | 0.16129 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b96bddabe2ed1e571fa0fb67e8fe24ad3b42daf | 2,316 | py | Python | trove/tests/scenario/runners/instance_force_delete_runners.py | sapcc/trove | c03ec0827687fba202f72f4d264ab70158604857 | [
"Apache-2.0"
] | 244 | 2015-01-01T12:04:44.000Z | 2022-03-25T23:38:39.000Z | trove/tests/scenario/runners/instance_force_delete_runners.py | sapcc/trove | c03ec0827687fba202f72f4d264ab70158604857 | [
"Apache-2.0"
] | 6 | 2015-08-18T08:19:10.000Z | 2022-03-05T02:32:36.000Z | trove/tests/scenario/runners/instance_force_delete_runners.py | sapcc/trove | c03ec0827687fba202f72f4d264ab70158604857 | [
"Apache-2.0"
] | 178 | 2015-01-02T15:16:58.000Z | 2022-03-23T03:30:20.000Z | # Copyright 2016 Tesora Inc.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by a... | 38.6 | 78 | 0.702936 | 298 | 2,316 | 5.214765 | 0.419463 | 0.030888 | 0.050193 | 0.057915 | 0.189833 | 0.138996 | 0.113256 | 0.113256 | 0 | 0 | 0 | 0.008319 | 0.221503 | 2,316 | 59 | 79 | 39.254237 | 0.853577 | 0.294041 | 0 | 0.0625 | 0 | 0 | 0.02534 | 0 | 0 | 0 | 0 | 0 | 0.09375 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.28125 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6b976f533f13bffac48ebcfedaef5b78d985ab9b | 489 | py | Python | tests/providers/test_twilio.py | yaakov-github/notifiers | ae204bc08fd9efa06597e5e2cf30ad0a305c94bb | [
"MIT"
] | 2 | 2019-10-06T01:53:42.000Z | 2019-11-19T07:52:17.000Z | tests/providers/test_twilio.py | Delgan/notifiers | 8dd2a8aaa81a9433034a8f347d984c8aa80be9af | [
"MIT"
] | null | null | null | tests/providers/test_twilio.py | Delgan/notifiers | 8dd2a8aaa81a9433034a8f347d984c8aa80be9af | [
"MIT"
] | null | null | null | import pytest
provider = 'twilio'
class TestTwilio:
def test_twilio_metadata(self, provider):
assert provider.metadata == {
'base_url': 'https://api.twilio.com/2010-04-01/Accounts/{}/Messages.json',
'name': 'twilio',
'site_url': 'https://www.twilio.com/'
}
... | 23.285714 | 86 | 0.570552 | 53 | 489 | 5.132075 | 0.679245 | 0.051471 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022792 | 0.282209 | 489 | 20 | 87 | 24.45 | 0.752137 | 0 | 0 | 0 | 0 | 0 | 0.253579 | 0 | 0 | 0 | 0 | 0 | 0.066667 | 1 | 0.133333 | false | 0 | 0.066667 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |