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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
263290a43a7fd76dbddf7ceb014df04f20ba0371 | 7,249 | py | Python | micropy/project/modules/packages.py | MathijsNL/micropy-cli | 2dec0ca3045a22f6552dc3813bedaf552d4bad2c | [
"MIT"
] | null | null | null | micropy/project/modules/packages.py | MathijsNL/micropy-cli | 2dec0ca3045a22f6552dc3813bedaf552d4bad2c | [
"MIT"
] | null | null | null | micropy/project/modules/packages.py | MathijsNL/micropy-cli | 2dec0ca3045a22f6552dc3813bedaf552d4bad2c | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Project Packages Module."""
import shutil
from pathlib import Path
from typing import Any, Union
from boltons import fileutils
from micropy import utils
from micropy.packages import (LocalDependencySource, PackageDependencySource,
create_dependency_source)
fr... | 32.95 | 100 | 0.572769 | 850 | 7,249 | 4.783529 | 0.214118 | 0.029513 | 0.013527 | 0.011805 | 0.201181 | 0.14609 | 0.099361 | 0.071323 | 0.056075 | 0.056075 | 0 | 0.000795 | 0.305973 | 7,249 | 219 | 101 | 33.100457 | 0.807394 | 0.158229 | 0 | 0.103704 | 0 | 0 | 0.086754 | 0.007934 | 0 | 0 | 0 | 0 | 0 | 1 | 0.118519 | false | 0 | 0.051852 | 0.007407 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
263cf4e525b99a26c7f1cf3f1ee37f07078de9e0 | 7,168 | py | Python | src/covid19/dash_forecast.py | marhoy/covid19 | b53f7b812edea46bca6b27ac106d2363ee5d44d5 | [
"MIT"
] | null | null | null | src/covid19/dash_forecast.py | marhoy/covid19 | b53f7b812edea46bca6b27ac106d2363ee5d44d5 | [
"MIT"
] | null | null | null | src/covid19/dash_forecast.py | marhoy/covid19 | b53f7b812edea46bca6b27ac106d2363ee5d44d5 | [
"MIT"
] | null | null | null | """The dash-tab with forecast data."""
from typing import List
import dash_bootstrap_components as dbc
import dash_core_components as dcc
import dash_html_components as html
import plotly.graph_objects as go
from dash.dependencies import Input, Output
import covid19.forecast
from covid19.data import DAY_ZERO_START
f... | 32 | 87 | 0.410435 | 636 | 7,168 | 4.534591 | 0.327044 | 0.014563 | 0.015603 | 0.020804 | 0.179958 | 0.161928 | 0.100208 | 0.100208 | 0.039528 | 0.024272 | 0 | 0.018066 | 0.498047 | 7,168 | 223 | 88 | 32.143498 | 0.783491 | 0.020229 | 0 | 0.297872 | 0 | 0 | 0.126414 | 0.019183 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010638 | false | 0 | 0.047872 | 0 | 0.069149 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
263d7e9a9f0a66a08ad20dffde0a31855dd85fee | 145 | py | Python | 1132.py | barroslipe/urionlinejudge | a20d8199d9a92b30ea394a6c949967d2fc51aa34 | [
"MIT"
] | null | null | null | 1132.py | barroslipe/urionlinejudge | a20d8199d9a92b30ea394a6c949967d2fc51aa34 | [
"MIT"
] | null | null | null | 1132.py | barroslipe/urionlinejudge | a20d8199d9a92b30ea394a6c949967d2fc51aa34 | [
"MIT"
] | null | null | null | x = int(input())
y = int(input())
if x > y:
x, y = y, x
soma = 0
for i in range(x, y + 1):
if i%13 != 0:
soma += i
print(soma) | 12.083333 | 25 | 0.448276 | 30 | 145 | 2.166667 | 0.466667 | 0.092308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.053191 | 0.351724 | 145 | 12 | 26 | 12.083333 | 0.638298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.111111 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
263e3167efd7fced0be59c8dcec4e3dcbfdbafc7 | 193 | py | Python | CodeForces/579A. Raising Bacteria/Raising Bacteria.py | tameemalaa/Solved-Problems | 9e8bc96eb60f200787f2682e974ec6509a7c1734 | [
"MIT"
] | null | null | null | CodeForces/579A. Raising Bacteria/Raising Bacteria.py | tameemalaa/Solved-Problems | 9e8bc96eb60f200787f2682e974ec6509a7c1734 | [
"MIT"
] | null | null | null | CodeForces/579A. Raising Bacteria/Raising Bacteria.py | tameemalaa/Solved-Problems | 9e8bc96eb60f200787f2682e974ec6509a7c1734 | [
"MIT"
] | null | null | null | # Solution by : Tameem Alaa El-Deen Sayed
n = int(input())
c= 0
while n >= 1 :
if n % 2 == 0 :
n = n /2
else:
n = n -1
n = n / 2
c = c + 1
print (c) | 16.083333 | 41 | 0.393782 | 34 | 193 | 2.235294 | 0.529412 | 0.078947 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.07767 | 0.466321 | 193 | 12 | 42 | 16.083333 | 0.660194 | 0.202073 | 0 | 0.2 | 0 | 0 | 0 | 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 |
263ffe0fb0dfe081b932ef96364418b62b9cad91 | 1,520 | py | Python | regression/other/pybindgen/classes/gen.py | ExternalRepositories/shroud | 86c39d2324d947d28055f9024f52cc493eb0c813 | [
"BSD-3-Clause"
] | 73 | 2017-10-11T17:01:50.000Z | 2022-01-01T21:42:12.000Z | regression/other/pybindgen/classes/gen.py | ExternalRepositories/shroud | 86c39d2324d947d28055f9024f52cc493eb0c813 | [
"BSD-3-Clause"
] | 29 | 2018-03-21T19:34:29.000Z | 2022-02-04T18:13:14.000Z | regression/other/pybindgen/classes/gen.py | ExternalRepositories/shroud | 86c39d2324d947d28055f9024f52cc493eb0c813 | [
"BSD-3-Clause"
] | 8 | 2017-11-22T14:27:01.000Z | 2022-03-30T08:49:03.000Z | # Copyright (c) 2017-2021, Lawrence Livermore National Security, LLC and
# other Shroud Project Developers.
# See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (BSD-3-Clause)
#
########################################################################
"""
Generate a module for classes using PyBi... | 33.043478 | 97 | 0.623026 | 163 | 1,520 | 5.595092 | 0.564417 | 0.059211 | 0.037281 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016247 | 0.190132 | 1,520 | 45 | 98 | 33.777778 | 0.724614 | 0.415789 | 0 | 0 | 0 | 0 | 0.161006 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.157895 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2641f16660f596ae7a11f3f894108dc509f1b570 | 12,597 | py | Python | aliens4friends/models/tinfoilhat.py | noi-techpark/solda-aliens4friends | 65f65f4e6775405e3098b2bac3f5903ff1c56795 | [
"Apache-2.0"
] | null | null | null | aliens4friends/models/tinfoilhat.py | noi-techpark/solda-aliens4friends | 65f65f4e6775405e3098b2bac3f5903ff1c56795 | [
"Apache-2.0"
] | null | null | null | aliens4friends/models/tinfoilhat.py | noi-techpark/solda-aliens4friends | 65f65f4e6775405e3098b2bac3f5903ff1c56795 | [
"Apache-2.0"
] | null | null | null | # SPDX-FileCopyrightText: NOI Techpark <info@noi.bz.it>
#
# SPDX-License-Identifier: Apache-2.0
import logging
from typing import List, Dict, TypeVar, Optional
from copy import deepcopy
from deepdiff import DeepDiff
from .base import BaseModel, DictModel, ModelError
from aliens4friends.commons.utils import sha1sum_... | 30.28125 | 108 | 0.688656 | 1,666 | 12,597 | 5.080432 | 0.157263 | 0.033908 | 0.062027 | 0.028355 | 0.326441 | 0.303639 | 0.250236 | 0.221408 | 0.205813 | 0.183719 | 0 | 0.002467 | 0.195523 | 12,597 | 415 | 109 | 30.354217 | 0.832741 | 0.153132 | 0 | 0.426901 | 0 | 0 | 0.124351 | 0.042961 | 0 | 0 | 0 | 0.007229 | 0 | 1 | 0.052632 | false | 0 | 0.017544 | 0 | 0.140351 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2642eef0ddc241add30d3eac4bb4b4cb887bc80f | 276 | py | Python | teachers_sample_codes/spotkanie_3/01b_wheater_json.py | programujemy-python/programuj-w-zespole-test | 865f96e5be6ab4e3a7f15b9e446a1c0cbae06472 | [
"MIT"
] | 2 | 2022-01-31T20:21:18.000Z | 2022-02-22T10:54:41.000Z | teachers_materials/spotkanie_3/01b_wheater_json.py | abixadamj/Popojutrze-Progr-mujemy | d6f5a4de799a486024f799c4c392fdc1419654b8 | [
"MIT"
] | null | null | null | teachers_materials/spotkanie_3/01b_wheater_json.py | abixadamj/Popojutrze-Progr-mujemy | d6f5a4de799a486024f799c4c392fdc1419654b8 | [
"MIT"
] | 1 | 2022-03-07T11:23:58.000Z | 2022-03-07T11:23:58.000Z | # przykład wykorzystania biblioteki requests
import requests
params = {
'format': 'j1',
}
api_result = requests.get('https://wttr.in/Varsavia', params)
api_response = api_result.json()
for elem in api_response:
print(f"Klucz: {elem} ma wartość {api_response[elem]}")
| 25.090909 | 61 | 0.724638 | 37 | 276 | 5.27027 | 0.648649 | 0.169231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004202 | 0.137681 | 276 | 10 | 62 | 27.6 | 0.815126 | 0.152174 | 0 | 0 | 0 | 0 | 0.331897 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.125 | 0 | 0.125 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
26445917b8f6b4bc76b5e11b529d19936fabc446 | 12,938 | py | Python | dataPrepScripts/CreateTensor.py | strixy16/Clairvoyante | 2bf60f9fc54d51518730d94cb05ffdf3a51f0176 | [
"BSD-3-Clause"
] | 171 | 2017-07-24T00:35:48.000Z | 2022-03-24T08:28:59.000Z | dataPrepScripts/CreateTensor.py | strixy16/Clairvoyante | 2bf60f9fc54d51518730d94cb05ffdf3a51f0176 | [
"BSD-3-Clause"
] | 45 | 2018-10-30T07:37:42.000Z | 2021-12-30T07:53:24.000Z | dataPrepScripts/CreateTensor.py | strixy16/Clairvoyante | 2bf60f9fc54d51518730d94cb05ffdf3a51f0176 | [
"BSD-3-Clause"
] | 27 | 2017-07-23T21:43:50.000Z | 2021-02-27T01:07:29.000Z | import os
import sys
import argparse
import os
import re
import shlex
import subprocess
import signal
import gc
import param
is_pypy = '__pypy__' in sys.builtin_module_names
def PypyGCCollect(signum, frame):
gc.collect()
signal.alarm(60)
cigarRe = r"(\d+)([MIDNSHP=X])"
base2num = dict(zip("ACGT", (0,1,2,3)))... | 41.335463 | 185 | 0.552713 | 1,466 | 12,938 | 4.834243 | 0.186221 | 0.047975 | 0.041484 | 0.020742 | 0.453789 | 0.363624 | 0.308029 | 0.287569 | 0.226612 | 0.204318 | 0 | 0.025523 | 0.327717 | 12,938 | 312 | 186 | 41.467949 | 0.789262 | 0.025893 | 0 | 0.301961 | 0 | 0.011765 | 0.123541 | 0.002144 | 0 | 0 | 0 | 0 | 0 | 1 | 0.027451 | false | 0 | 0.039216 | 0 | 0.078431 | 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 |
26461c895574afc6d2e5c0139208bf8be78b66bf | 2,405 | py | Python | setup.py | ssjunnebo/MultiQC_NGI | 1ca18747256324f1ddcb9ecd68159b2114718e71 | [
"MIT"
] | 3 | 2017-02-03T14:18:30.000Z | 2019-10-24T14:57:57.000Z | setup.py | ssjunnebo/MultiQC_NGI | 1ca18747256324f1ddcb9ecd68159b2114718e71 | [
"MIT"
] | 27 | 2015-10-16T16:20:10.000Z | 2017-07-03T14:28:40.000Z | setup.py | ssjunnebo/MultiQC_NGI | 1ca18747256324f1ddcb9ecd68159b2114718e71 | [
"MIT"
] | 8 | 2016-04-20T10:33:29.000Z | 2021-03-25T09:01:58.000Z | #!/usr/bin/env python
"""
MultiQC_NGI is a plugin for MultiQC, providing additional tools which are
specific to the National Genomics Infrastructure at the Science for Life
Laboratory in Stockholm, Sweden.
For more information about NGI, see http://www.scilifelab.se/platforms/ngi/
For more information about MultiQC, s... | 34.855072 | 96 | 0.63368 | 251 | 2,405 | 5.888446 | 0.521912 | 0.11502 | 0.043978 | 0.054127 | 0.074425 | 0.043302 | 0.043302 | 0 | 0 | 0 | 0 | 0.00388 | 0.249896 | 2,405 | 68 | 97 | 35.367647 | 0.81541 | 0.140125 | 0 | 0.071429 | 0 | 0 | 0.576699 | 0.203398 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.017857 | 0 | 0.017857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
264fec7de161d7ec6768ac23aa7065cdd2a16bae | 1,781 | py | Python | newsplease/pipeline/extractor/extractors/beautifulsoup_extractor.py | JamilHossain/news-please | 6c7fb001a24f0db80dd4f2cd7f3957a7fe284dcf | [
"Apache-2.0"
] | null | null | null | newsplease/pipeline/extractor/extractors/beautifulsoup_extractor.py | JamilHossain/news-please | 6c7fb001a24f0db80dd4f2cd7f3957a7fe284dcf | [
"Apache-2.0"
] | null | null | null | newsplease/pipeline/extractor/extractors/beautifulsoup_extractor.py | JamilHossain/news-please | 6c7fb001a24f0db80dd4f2cd7f3957a7fe284dcf | [
"Apache-2.0"
] | null | null | null | from copy import deepcopy
from bs4 import BeautifulSoup
from .abstract_extractor import AbstractExtractor
from ..article_candidate import ArticleCandidate
class ReadabilityExtractor(AbstractExtractor):
"""This class implements Readability as an article extractor. Readability is
a subclass of Extractors and ... | 32.381818 | 109 | 0.658057 | 194 | 1,781 | 5.886598 | 0.376289 | 0.154116 | 0.031524 | 0.017513 | 0.02627 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001511 | 0.256597 | 1,781 | 54 | 110 | 32.981481 | 0.861027 | 0.20831 | 0 | 0 | 0 | 0 | 0.06085 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.060606 | false | 0 | 0.121212 | 0 | 0.242424 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2650e879784fe541700fd39b00cc82a607be51e1 | 2,546 | py | Python | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/12_features/numtrees_20/rule_16.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/12_features/numtrees_20/rule_16.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/12_features/numtrees_20/rule_16.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | def findDecision(obj): #obj[0]: Passanger, obj[1]: Time, obj[2]: Coupon, obj[3]: Gender, obj[4]: Age, obj[5]: Education, obj[6]: Occupation, obj[7]: Bar, obj[8]: Coffeehouse, obj[9]: Restaurant20to50, obj[10]: Direction_same, obj[11]: Distance
# {"feature": "Restaurant20to50", "instances": 51, "metric_value": 0.9526, ... | 34.876712 | 243 | 0.558916 | 370 | 2,546 | 3.805405 | 0.151351 | 0.117188 | 0.102273 | 0.102273 | 0.460938 | 0.292614 | 0.290483 | 0.147017 | 0.066761 | 0.066761 | 0 | 0.09432 | 0.225452 | 2,546 | 72 | 244 | 35.361111 | 0.619675 | 0.499607 | 0 | 0.568966 | 0 | 0 | 0.104051 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017241 | false | 0 | 0 | 0 | 0.275862 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2653fcf693b549d95fda5d96dd6ca0e935afb6e0 | 1,414 | py | Python | src/main.py | fortytw0/vizwiz | 36563806d9bf13c8924577141b02bd2552aa48d6 | [
"MIT"
] | null | null | null | src/main.py | fortytw0/vizwiz | 36563806d9bf13c8924577141b02bd2552aa48d6 | [
"MIT"
] | null | null | null | src/main.py | fortytw0/vizwiz | 36563806d9bf13c8924577141b02bd2552aa48d6 | [
"MIT"
] | null | null | null | import os
import time
from src.models.model1 import CBD
from src.utils.train_utils import TrainGenerator
from tensorflow.keras import losses, optimizers, callbacks
train_data = TrainGenerator('train')
val_data = TrainGenerator('val')
epochs = 10
model_dir = 'models/'
log_dir = 'logs/'
cbd = CBD('models/', 'logs/'... | 26.185185 | 98 | 0.710042 | 198 | 1,414 | 4.893939 | 0.353535 | 0.057792 | 0.055728 | 0.024768 | 0.06192 | 0.06192 | 0.06192 | 0 | 0 | 0 | 0 | 0.009121 | 0.1471 | 1,414 | 54 | 99 | 26.185185 | 0.794362 | 0.319661 | 0 | 0 | 0 | 0 | 0.125 | 0.032563 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0.28 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
265421a849a89a636ad43bddadaa5357b6a066c0 | 1,142 | py | Python | models/PSim_net.py | PoChunChen1012/synthesizing_human_like_sketches | ec2ba76cda3f658c21b5484bd478e0d4cee52fc6 | [
"MIT"
] | 46 | 2020-03-13T14:30:35.000Z | 2021-12-19T11:55:31.000Z | models/PSim_net.py | PoChunChen1012/synthesizing_human_like_sketches | ec2ba76cda3f658c21b5484bd478e0d4cee52fc6 | [
"MIT"
] | 2 | 2020-07-17T07:48:35.000Z | 2020-10-16T15:35:30.000Z | models/PSim_net.py | PoChunChen1012/synthesizing_human_like_sketches | ec2ba76cda3f658c21b5484bd478e0d4cee52fc6 | [
"MIT"
] | 2 | 2020-03-20T18:50:52.000Z | 2021-12-06T04:03:01.000Z | import torch.nn as nn
from models.PSim_alexnet import PSim_Alexnet
import torch
from utils import utils
class PSimNet(nn.Module):
"""Pre-trained network with all channels equally weighted by default (cosine similarity)"""
def __init__(self, device=torch.device("cuda:0")):
super(PSimNet, self).__init_... | 33.588235 | 100 | 0.627846 | 146 | 1,142 | 4.753425 | 0.513699 | 0.070605 | 0.048991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011891 | 0.263573 | 1,142 | 33 | 101 | 34.606061 | 0.813317 | 0.105079 | 0 | 0 | 0 | 0 | 0.051232 | 0.032512 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.16 | 0 | 0.32 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2658babc747f1ce1026574efd7275014f53e2fd0 | 2,219 | py | Python | sustainableCityManagement/main_project/Bus_API/process_bus_delays.py | Josh-repository/Dashboard-CityManager- | 6287881be9fb2c6274a755ce5d75ad355346468a | [
"RSA-MD"
] | null | null | null | sustainableCityManagement/main_project/Bus_API/process_bus_delays.py | Josh-repository/Dashboard-CityManager- | 6287881be9fb2c6274a755ce5d75ad355346468a | [
"RSA-MD"
] | null | null | null | sustainableCityManagement/main_project/Bus_API/process_bus_delays.py | Josh-repository/Dashboard-CityManager- | 6287881be9fb2c6274a755ce5d75ad355346468a | [
"RSA-MD"
] | 1 | 2021-05-13T16:33:18.000Z | 2021-05-13T16:33:18.000Z | import requests
import json
from ..Config.config_handler import read_config
class ProcessBusDelays:
def __init__(self):
self.config_vals = read_config("Bus_API")
# Get the live data of Buses(Arrival Time, Departure Time, Delay) from API and returns.
def get_data_from_bus_api(self):
ur... | 42.673077 | 133 | 0.54484 | 238 | 2,219 | 4.785714 | 0.268908 | 0.084284 | 0.073749 | 0.044776 | 0.337138 | 0.272169 | 0.272169 | 0.272169 | 0.272169 | 0.272169 | 0 | 0.000705 | 0.360523 | 2,219 | 51 | 134 | 43.509804 | 0.801973 | 0.095539 | 0 | 0.4 | 0 | 0 | 0.142786 | 0.010484 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.066667 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
265aad51cd825c5cd3fa7bde6bb29b6e88376717 | 648 | py | Python | op_interface/xgemm.py | LukasSlouka/TF_XNN | 152698a5da5ed6fff9ec4337e8dca4a1a396b458 | [
"MIT"
] | 3 | 2018-05-19T19:41:28.000Z | 2019-03-04T12:40:32.000Z | op_interface/xgemm.py | LukasSlouka/TF_XNN | 152698a5da5ed6fff9ec4337e8dca4a1a396b458 | [
"MIT"
] | null | null | null | op_interface/xgemm.py | LukasSlouka/TF_XNN | 152698a5da5ed6fff9ec4337e8dca4a1a396b458 | [
"MIT"
] | null | null | null | from tensorflow.python.framework import ops
from tensorflow.python.ops import math_ops
from .utils import get_xmodule
xmodule = get_xmodule()
xgemm = xmodule.xgemm
@ops.RegisterGradient("XGEMM")
def _xgemm_grad(op, grad):
"""
Gradient computation for the XGEMM
:param op: XGEMM operation that is differen... | 28.173913 | 70 | 0.723765 | 98 | 648 | 4.653061 | 0.418367 | 0.046053 | 0.087719 | 0.070175 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003817 | 0.191358 | 648 | 22 | 71 | 29.454545 | 0.866412 | 0.322531 | 0 | 0 | 0 | 0 | 0.012165 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.25 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
265ab7b03cf9ea1a66d9ea39dcb79842ad35aa0c | 1,004 | py | Python | Chapter05/nlp40.py | gushwell/PythonNLP100 | c67148232fc942b1f8a72e69a2a5e7a3b76e99bd | [
"MIT"
] | 2 | 2020-01-09T14:48:41.000Z | 2021-11-20T20:33:46.000Z | Chapter05/nlp40.py | CLRafaelR/PythonNLP100 | c67148232fc942b1f8a72e69a2a5e7a3b76e99bd | [
"MIT"
] | null | null | null | Chapter05/nlp40.py | CLRafaelR/PythonNLP100 | c67148232fc942b1f8a72e69a2a5e7a3b76e99bd | [
"MIT"
] | 2 | 2020-01-09T14:48:40.000Z | 2021-11-20T20:33:59.000Z | # 第5章: 係り受け解析
import re
class Morph:
def __init__(self, surface, base, pos, pos1):
self.surface = surface
self.base = base
self.pos = pos
self.pos1 = pos1
def print(self):
print([self.surface, self.base, self.pos, self.pos1])
def analyze():
article = []
sentenc... | 23.904762 | 63 | 0.456175 | 105 | 1,004 | 4.247619 | 0.457143 | 0.073991 | 0.067265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022184 | 0.416335 | 1,004 | 41 | 64 | 24.487805 | 0.738908 | 0.010956 | 0 | 0.057143 | 0 | 0 | 0.042381 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.114286 | false | 0 | 0.028571 | 0 | 0.2 | 0.085714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
265bf6359ab14ac666621994354747be0e20755e | 1,096 | py | Python | test/TestUtils.py | priscillaboyd/SPaT_Prediction | 4309819e1f8d8e49f2e7fc132750102322e1504a | [
"Apache-2.0"
] | 7 | 2017-07-10T09:18:19.000Z | 2022-03-22T02:47:12.000Z | test/TestUtils.py | priscillaboyd/SPaT_Prediction | 4309819e1f8d8e49f2e7fc132750102322e1504a | [
"Apache-2.0"
] | 36 | 2017-06-27T15:04:27.000Z | 2017-10-21T12:39:12.000Z | test/TestUtils.py | priscillaboyd/SPaT_Prediction | 4309819e1f8d8e49f2e7fc132750102322e1504a | [
"Apache-2.0"
] | 2 | 2017-11-01T03:26:55.000Z | 2019-06-01T20:20:31.000Z | import os
import shutil
import unittest
from tools.Utils import root_path, output_fields, create_folder_if_not_exists, results_folder
class TestUtils(unittest.TestCase):
def test_output_fields(self):
output_fields_needed = ['Date', 'Time', 'Result', 'Phase']
self.assertEqual(output_fields_needed... | 28.842105 | 93 | 0.70073 | 138 | 1,096 | 5.246377 | 0.304348 | 0.107735 | 0.117403 | 0.145028 | 0.426796 | 0.395028 | 0.395028 | 0.146409 | 0.146409 | 0 | 0 | 0 | 0.205292 | 1,096 | 37 | 94 | 29.621622 | 0.831228 | 0.07208 | 0 | 0.090909 | 0 | 0 | 0.032609 | 0 | 0 | 0 | 0 | 0 | 0.272727 | 1 | 0.136364 | false | 0 | 0.181818 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2661e35125a9440b7263e4c2e760872c0ae79dad | 1,713 | py | Python | app/pages.py | mvasilkov/terrible-mistake | 4f40a9719786ad3df0aea521dfeda234e3329714 | [
"MIT"
] | null | null | null | app/pages.py | mvasilkov/terrible-mistake | 4f40a9719786ad3df0aea521dfeda234e3329714 | [
"MIT"
] | null | null | null | app/pages.py | mvasilkov/terrible-mistake | 4f40a9719786ad3df0aea521dfeda234e3329714 | [
"MIT"
] | null | null | null | import html
from .models import Post, Session
TEMPLATE_BASE = '''<!doctype html>
<html lang="en">
<head>
<meta charset="utf-8">
<title>noname</title>
<link rel="stylesheet" href="/static/app.css">
</head>
<body>
%s
</body>
</html>
'''
TEMPLATE_FORM = '''
<form action="... | 23.465753 | 68 | 0.54174 | 196 | 1,713 | 4.642857 | 0.392857 | 0.052747 | 0.030769 | 0.032967 | 0.279121 | 0.215385 | 0.215385 | 0.215385 | 0.12967 | 0.12967 | 0 | 0.000816 | 0.28488 | 1,713 | 72 | 69 | 23.791667 | 0.742041 | 0 | 0 | 0.354839 | 0 | 0 | 0.474606 | 0.16404 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016129 | false | 0 | 0.032258 | 0 | 0.064516 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
266247aa06f4461cb7db5adf2fdddc88aebe5a2f | 761 | py | Python | seqauto/management/commands/reload_illumina_flowcell_qc.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 5 | 2021-01-14T03:34:42.000Z | 2022-03-07T15:34:18.000Z | seqauto/management/commands/reload_illumina_flowcell_qc.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 551 | 2020-10-19T00:02:38.000Z | 2022-03-30T02:18:22.000Z | seqauto/management/commands/reload_illumina_flowcell_qc.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | null | null | null | """
https://github.com/SACGF/variantgrid/issues/1601
Need to trigger reloads of bad metrics, so we die properly
"""
import logging
from django.core.management.base import BaseCommand
from seqauto.models import IlluminaFlowcellQC
from snpdb.models import DataState
class Command(BaseCommand):
def hand... | 24.548387 | 75 | 0.687254 | 95 | 761 | 5.4 | 0.705263 | 0.064327 | 0.046784 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006667 | 0.211564 | 761 | 30 | 76 | 25.366667 | 0.848333 | 0.141919 | 0 | 0 | 0 | 0 | 0.154088 | 0.04717 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.285714 | 0 | 0.428571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2669475d57fe48eb8f470f059b2de2b3e28b5b3e | 2,864 | py | Python | GameManager.py | redxdev/Matching | 6d65933a64bf0f22a18a27c675cb8e95f4161e08 | [
"MIT"
] | 1 | 2016-05-06T10:23:24.000Z | 2016-05-06T10:23:24.000Z | GameManager.py | redxdev/Matching | 6d65933a64bf0f22a18a27c675cb8e95f4161e08 | [
"MIT"
] | null | null | null | GameManager.py | redxdev/Matching | 6d65933a64bf0f22a18a27c675cb8e95f4161e08 | [
"MIT"
] | null | null | null | from WordList import WordList, WordCard
import pygame
class GameManager:
def __init__(self):
self.wordList = WordList()
self.cards = []
self.badCards = (None, None)
self.goodCards = (None, None)
self.timer = 0
def startGame(self, pairCount):
self.cards = self.w... | 28.929293 | 94 | 0.50419 | 332 | 2,864 | 4.331325 | 0.213855 | 0.031293 | 0.056328 | 0.03338 | 0.289291 | 0.25452 | 0.226704 | 0.201669 | 0.201669 | 0.201669 | 0 | 0.025761 | 0.403631 | 2,864 | 99 | 95 | 28.929293 | 0.816159 | 0 | 0 | 0.375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0875 | false | 0 | 0.025 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
266b073ce320af6c6412a8f34133f369b56ae914 | 1,687 | py | Python | src/main.py | ekim1919/TDAGo | 014db546dae3dedb4f7206288333756fc358ed8a | [
"MIT"
] | null | null | null | src/main.py | ekim1919/TDAGo | 014db546dae3dedb4f7206288333756fc358ed8a | [
"MIT"
] | null | null | null | src/main.py | ekim1919/TDAGo | 014db546dae3dedb4f7206288333756fc358ed8a | [
"MIT"
] | null | null | null | from plot import *
from experiments import *
import warnings
warnings.filterwarnings("ignore") #Ignore warnings for now
import sys
import os
import argparse
def main():
parser = argparse.ArgumentParser(description='Analysis of Go Games')
parser.add_argument('dir',nargs='*')
parser.add_argument('--conn',... | 35.145833 | 212 | 0.740368 | 247 | 1,687 | 4.939271 | 0.518219 | 0.036885 | 0.069672 | 0.051639 | 0.113115 | 0.113115 | 0 | 0 | 0 | 0 | 0 | 0.004926 | 0.157676 | 1,687 | 47 | 213 | 35.893617 | 0.853624 | 0.484884 | 0 | 0 | 0 | 0 | 0.13769 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.24 | 0 | 0.28 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
266c5f9566178c353cbde59b14658db79e486f2e | 236 | py | Python | script/pipeline/setup/setup.py | cpuabuse/py-deployment-automation | aea0c48ac4c5a81f2e027c984ab65f911ad29d0d | [
"0BSD"
] | 1 | 2020-02-23T22:35:28.000Z | 2020-02-23T22:35:28.000Z | script/pipeline/setup/setup.py | cpuabuse/py-deployment-automation | aea0c48ac4c5a81f2e027c984ab65f911ad29d0d | [
"0BSD"
] | null | null | null | script/pipeline/setup/setup.py | cpuabuse/py-deployment-automation | aea0c48ac4c5a81f2e027c984ab65f911ad29d0d | [
"0BSD"
] | null | null | null | """
A file for setup.
"""
# Metadata
__author__ = "cpuabuse.com"
__copyright__ = "cpuabuse.com 2019"
__license__ = "ISC"
__version__ = "0.0.1"
__email__ = "cpuabuse@gmail.com"
__status__ = "Development"
# Minimum python version is 3.6 | 18.153846 | 35 | 0.711864 | 30 | 236 | 4.8 | 0.8 | 0.152778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.044554 | 0.144068 | 236 | 13 | 36 | 18.153846 | 0.668317 | 0.241525 | 0 | 0 | 0 | 0 | 0.385965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
266efdf5f618ad871cc4108d4a51b575ba968601 | 6,392 | py | Python | Kinkajou/python/admin/opencode.py | app858216291-github/Kinkajou-shop | ee1e841e26407b1dcbd14601e5fe34b6422eba29 | [
"MIT"
] | null | null | null | Kinkajou/python/admin/opencode.py | app858216291-github/Kinkajou-shop | ee1e841e26407b1dcbd14601e5fe34b6422eba29 | [
"MIT"
] | null | null | null | Kinkajou/python/admin/opencode.py | app858216291-github/Kinkajou-shop | ee1e841e26407b1dcbd14601e5fe34b6422eba29 | [
"MIT"
] | null | null | null | from admin.upload import FileUploadField, ImageUploadField
from flask_babelex import Babel
from flask_admin._compat import urljoin
from flask import redirect
from flask_admin._compat import quote
from flask_admin.contrib.fileadmin import FileAdmin
from flask_admin import Admin, BaseView, expose
from flask_admin.... | 37.380117 | 184 | 0.571339 | 706 | 6,392 | 5.007082 | 0.247875 | 0.028006 | 0.031683 | 0.016973 | 0.145403 | 0.066761 | 0.028854 | 0.028854 | 0.028854 | 0 | 0 | 0.001832 | 0.316959 | 6,392 | 170 | 185 | 37.6 | 0.807833 | 0.125 | 0 | 0.096491 | 0 | 0 | 0.090584 | 0.017854 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061404 | false | 0 | 0.149123 | 0 | 0.359649 | 0.04386 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
267010ecd5efb0c3498de085c2712903abc79773 | 4,137 | py | Python | liminal/runners/airflow/operators/kubernetes_pod_operator_with_input_output.py | aviemzur/incubator-liminal | 88174a6fe519f9a6052f6e5d366a37a88a915ee4 | [
"Apache-2.0"
] | 1 | 2021-03-24T08:23:03.000Z | 2021-03-24T08:23:03.000Z | liminal/runners/airflow/operators/kubernetes_pod_operator_with_input_output.py | liorsav/incubator-liminal | 88174a6fe519f9a6052f6e5d366a37a88a915ee4 | [
"Apache-2.0"
] | null | null | null | liminal/runners/airflow/operators/kubernetes_pod_operator_with_input_output.py | liorsav/incubator-liminal | 88174a6fe519f9a6052f6e5d366a37a88a915ee4 | [
"Apache-2.0"
] | null | null | null | import json
from airflow.contrib.operators.kubernetes_pod_operator import KubernetesPodOperator
def _split_list(seq, num):
k, m = divmod(len(seq), num)
return list(
(seq[i * k + min(i, m):(i + 1) * k + min(i + 1, m)] for i in range(num))
)
_IS_SPLIT_KEY = 'is_split'
class PrepareInputOperator... | 28.93007 | 87 | 0.555958 | 483 | 4,137 | 4.482402 | 0.192547 | 0.07067 | 0.054042 | 0.038799 | 0.366744 | 0.282679 | 0.240185 | 0.228176 | 0.228176 | 0.162587 | 0 | 0.001095 | 0.337684 | 4,137 | 142 | 88 | 29.133803 | 0.789051 | 0.021997 | 0 | 0.401961 | 0 | 0 | 0.104741 | 0 | 0 | 0 | 0 | 0.007042 | 0 | 1 | 0.058824 | false | 0 | 0.019608 | 0.009804 | 0.166667 | 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 |
2671a284c0ed4b2cd6f0faa0d1f0db0edd38447c | 27,696 | py | Python | reV/handlers/collection.py | pjstanle/reV | c22c620749747022a65d2a98a99beef804849ee6 | [
"BSD-3-Clause"
] | 37 | 2020-03-04T05:24:23.000Z | 2022-02-24T14:39:49.000Z | reV/handlers/collection.py | pjstanle/reV | c22c620749747022a65d2a98a99beef804849ee6 | [
"BSD-3-Clause"
] | 174 | 2020-03-03T18:18:53.000Z | 2022-03-08T22:00:40.000Z | reV/handlers/collection.py | pjstanle/reV | c22c620749747022a65d2a98a99beef804849ee6 | [
"BSD-3-Clause"
] | 16 | 2020-08-10T13:43:36.000Z | 2021-11-19T22:43:36.000Z | # -*- coding: utf-8 -*-
"""
Base class to handle collection of profiles and means across multiple .h5 files
"""
import logging
import numpy as np
import os
import sys
import psutil
import pandas as pd
import time
import shutil
from warnings import warn
from reV.handlers.outputs import Outputs
from reV.utilities.except... | 35.326531 | 79 | 0.55239 | 3,405 | 27,696 | 4.306314 | 0.105433 | 0.026734 | 0.015959 | 0.010434 | 0.488031 | 0.447521 | 0.400668 | 0.369229 | 0.347473 | 0.328514 | 0 | 0.012237 | 0.362688 | 27,696 | 783 | 80 | 35.371648 | 0.818481 | 0.298563 | 0 | 0.293801 | 0 | 0 | 0.09744 | 0 | 0 | 0 | 0 | 0.001277 | 0 | 1 | 0.067385 | false | 0 | 0.03504 | 0 | 0.140162 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
267391fe6f529c4f578f96fdbf6f647ec6e040d3 | 964 | py | Python | utility/templatetags/to_price.py | hosseinmoghimi/waiter | 9f5f332b6f252a29aa14f67655b423fd9c40fba3 | [
"MIT"
] | 1 | 2021-12-02T11:16:53.000Z | 2021-12-02T11:16:53.000Z | utility/templatetags/to_price.py | hosseinmoghimi/waiter | 9f5f332b6f252a29aa14f67655b423fd9c40fba3 | [
"MIT"
] | null | null | null | utility/templatetags/to_price.py | hosseinmoghimi/waiter | 9f5f332b6f252a29aa14f67655b423fd9c40fba3 | [
"MIT"
] | null | null | null | from core.errors import LEO_ERRORS
from django import template
register = template.Library()
from utility.currency import to_price as to_price_origin
from utility.num import to_horuf as to_horuf_num,to_tartib as to_tartib_
@register.filter
def to_price(value):
return to_price_origin(value=value)
@register.filter... | 18.538462 | 72 | 0.65249 | 131 | 964 | 4.603053 | 0.305344 | 0.069652 | 0.112769 | 0.126036 | 0.167496 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01532 | 0.255187 | 964 | 51 | 73 | 18.901961 | 0.824513 | 0.071577 | 0 | 0.235294 | 0 | 0 | 0.003375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.117647 | 0.088235 | 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 |
2674b3c10e1e9d8ebf4b7b0491fb0687920f7025 | 3,119 | py | Python | Python/maximal-rectangle.py | RideGreg/LeetCode | b70818b1e6947bf29519a24f78816e022ebab59e | [
"MIT"
] | 1 | 2022-01-30T06:55:28.000Z | 2022-01-30T06:55:28.000Z | Python/maximal-rectangle.py | RideGreg/LeetCode | b70818b1e6947bf29519a24f78816e022ebab59e | [
"MIT"
] | null | null | null | Python/maximal-rectangle.py | RideGreg/LeetCode | b70818b1e6947bf29519a24f78816e022ebab59e | [
"MIT"
] | 1 | 2021-12-31T03:56:39.000Z | 2021-12-31T03:56:39.000Z | # Time: O(m*n)
# Space: O(n)
# 85
# Given a 2D binary matrix filled with 0's and 1's,
# find the largest rectangle containing all ones and return its area.
# Ascending stack solution.
class Solution(object):
def maximalRectangle(self, matrix): # USE THIS
"""
:type matrix: List[List[str]]
... | 31.505051 | 91 | 0.430907 | 404 | 3,119 | 3.306931 | 0.289604 | 0.01497 | 0.017964 | 0.024701 | 0.132485 | 0.124252 | 0.106287 | 0 | 0 | 0 | 0 | 0.054833 | 0.432831 | 3,119 | 98 | 92 | 31.826531 | 0.700396 | 0.175697 | 0 | 0.15942 | 0 | 0 | 0.018058 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057971 | false | 0 | 0 | 0 | 0.15942 | 0.014493 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2676fe4e4181d8ea15429d8939404231084cca25 | 8,869 | py | Python | makechart.py | preeve9534/signalk-sensor-log | 7f6afd188b1ed95dad0b4d798f66d145a1f10978 | [
"Apache-2.0"
] | null | null | null | makechart.py | preeve9534/signalk-sensor-log | 7f6afd188b1ed95dad0b4d798f66d145a1f10978 | [
"Apache-2.0"
] | null | null | null | makechart.py | preeve9534/signalk-sensor-log | 7f6afd188b1ed95dad0b4d798f66d145a1f10978 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/python
from SocketServer import TCPServer, StreamRequestHandler
import socket
from subprocess import call
import datetime
import json
import re
import sys
import os
CONF = {}
RRDTOOL = '/usr/bin/rrdtool'
PERIODS = []
CHART_BACKGROUNDCOLOR = '#000000'
CHART_CANVASCOLOR = '#000000'
CHART_DIRECTORY = '/tmp/'... | 49.272222 | 209 | 0.560379 | 945 | 8,869 | 5.184127 | 0.266667 | 0.040416 | 0.064299 | 0.071443 | 0.240661 | 0.203919 | 0.13513 | 0.013064 | 0.013064 | 0.013064 | 0 | 0.015808 | 0.258203 | 8,869 | 179 | 210 | 49.547486 | 0.728834 | 0.099673 | 0 | 0.05036 | 0 | 0 | 0.156376 | 0.00615 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035971 | false | 0 | 0.064748 | 0 | 0.136691 | 0.007194 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
267701db0df3dc5669a6ef8609e548969a09888e | 410 | py | Python | way/python/exercises/various/turtle_draws/turtle_spiral_name.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | way/python/exercises/various/turtle_draws/turtle_spiral_name.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | way/python/exercises/various/turtle_draws/turtle_spiral_name.py | only-romano/junkyard | b60a25b2643f429cdafee438d20f9966178d6f36 | [
"MIT"
] | null | null | null | # цветная спираль из имени пользователя
import turtle
t = turtle.Pen()
turtle.bgcolor("black")
colors = ["red", "yellow", "blue", "green"]
# gui text input
name = turtle.textinput("Введи своё имя", "Как тебя зовут?")
for x in range(100):
t.pencolor(colors[x%4])
t.penup()
t.forward(x*4)
... | 22.777778 | 61 | 0.592683 | 61 | 410 | 3.983607 | 0.721311 | 0.024691 | 0.024691 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028213 | 0.221951 | 410 | 17 | 62 | 24.117647 | 0.733542 | 0.126829 | 0 | 0 | 0 | 0 | 0.180473 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
26796efa4885d9b90f7bb3e4e595ebd4603db189 | 1,537 | py | Python | config/base_config.py | xuyouze/DropNet | edbaeb72075b819b96e1ca66e966999a40d3645e | [
"Apache-2.0"
] | 1 | 2021-06-28T06:27:06.000Z | 2021-06-28T06:27:06.000Z | config/base_config.py | xuyouze/DropNet | edbaeb72075b819b96e1ca66e966999a40d3645e | [
"Apache-2.0"
] | null | null | null | config/base_config.py | xuyouze/DropNet | edbaeb72075b819b96e1ca66e966999a40d3645e | [
"Apache-2.0"
] | null | null | null | # coding:utf-8
# @Time : 2019/5/15
# @Author : xuyouze
# @File Name : base_config.py
import importlib
import os
import sys
import torch
import logging
from .dataset_config import build_dataset_config
from .logger_config import config
__all__ = ["BaseConfig"]
class BaseConfig(object):
def __init... | 23.646154 | 91 | 0.709824 | 206 | 1,537 | 5.092233 | 0.446602 | 0.073403 | 0.071497 | 0.034318 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013503 | 0.180872 | 1,537 | 64 | 92 | 24.015625 | 0.819698 | 0.348081 | 0 | 0 | 0 | 0 | 0.066259 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0.241379 | 0 | 0.310345 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
267b0451a5289dfdcefad895acd9541e3d77721e | 814 | py | Python | test/test_utils.py | fact-project/ratescan | 69a2eb8b2c66024f10e59d6dbf15c84c9b12ede4 | [
"MIT"
] | null | null | null | test/test_utils.py | fact-project/ratescan | 69a2eb8b2c66024f10e59d6dbf15c84c9b12ede4 | [
"MIT"
] | null | null | null | test/test_utils.py | fact-project/ratescan | 69a2eb8b2c66024f10e59d6dbf15c84c9b12ede4 | [
"MIT"
] | null | null | null | from fact.io import read_data
def test_sumupCountsOfRun():
from ratescan.utils import sumupCountsOfRun
df = read_data("test/test.hdf5", key="ratescan")
df_summed = sumupCountsOfRun(df)
assert df_summed.run_id.unique() == 182
assert len(df_summed.ratescan_trigger_thresholds) == 1000
... | 29.071429 | 96 | 0.701474 | 95 | 814 | 5.821053 | 0.357895 | 0.057866 | 0.092224 | 0.124774 | 0.189873 | 0.189873 | 0.189873 | 0.189873 | 0.189873 | 0 | 0 | 0.033133 | 0.184275 | 814 | 27 | 97 | 30.148148 | 0.799699 | 0.219902 | 0 | 0.166667 | 0 | 0 | 0.140575 | 0.070288 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.166667 | false | 0 | 0.25 | 0 | 0.416667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
267b7ae665db4a183786b0a16f0d7887f1bbb20e | 4,080 | py | Python | rbac/cli/cli_test_auth.py | shawnmckinney/py-fortress | ead12bf9b7e37e923c42ccdadd8fd3c5adf027cf | [
"Apache-2.0"
] | 16 | 2018-03-19T02:19:01.000Z | 2021-12-30T15:24:40.000Z | rbac/cli/cli_test_auth.py | shawnmckinney/py-fortress | ead12bf9b7e37e923c42ccdadd8fd3c5adf027cf | [
"Apache-2.0"
] | 1 | 2021-12-18T16:46:04.000Z | 2021-12-18T16:46:04.000Z | rbac/cli/cli_test_auth.py | shawnmckinney/py-fortress | ead12bf9b7e37e923c42ccdadd8fd3c5adf027cf | [
"Apache-2.0"
] | 2 | 2018-03-14T21:48:43.000Z | 2018-03-19T03:25:40.000Z | '''
@copyright: 2022 - Symas Corporation
'''
import sys
import pickle
import argparse
from rbac.util import global_ids
from rbac.model import Perm, User
from rbac import access
from rbac.util import RbacError
from ..cli.utils import print_user, print_entity
from rbac.cli.utils import (
load_entity, add_args, ADD,... | 34.576271 | 132 | 0.554412 | 492 | 4,080 | 4.453252 | 0.23374 | 0.013692 | 0.046554 | 0.041077 | 0.262437 | 0.230032 | 0.219991 | 0.19078 | 0.157006 | 0.157006 | 0 | 0.001461 | 0.329167 | 4,080 | 118 | 133 | 34.576271 | 0.79905 | 0.014706 | 0 | 0.235294 | 0 | 0 | 0.100798 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.088235 | 0 | 0.156863 | 0.186275 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
267b9ff6b529eb0367e6acbbd247f37b5d0c7a4d | 1,678 | py | Python | httprider/presenters/utility_functions_presenter.py | iSWORD/http-rider | 5d9e5cc8c5166ab58f81d30d21b3ce2497bf09b9 | [
"MIT"
] | 27 | 2019-12-20T00:10:28.000Z | 2022-03-09T18:04:23.000Z | httprider/presenters/utility_functions_presenter.py | iSWORD/http-rider | 5d9e5cc8c5166ab58f81d30d21b3ce2497bf09b9 | [
"MIT"
] | 6 | 2019-10-13T08:50:21.000Z | 2020-06-05T12:23:08.000Z | httprider/presenters/utility_functions_presenter.py | iSWORD/http-rider | 5d9e5cc8c5166ab58f81d30d21b3ce2497bf09b9 | [
"MIT"
] | 7 | 2019-08-10T01:38:31.000Z | 2021-08-23T05:28:46.000Z | from httprider.core.generators import utility_func_map
class UtilityFunctionsPresenter:
def __init__(self, view, parent):
self.view = view
self.parent = parent
# update list of functions
for f in utility_func_map.keys():
self.view.function_selector.addItem(f)
... | 34.958333 | 78 | 0.6764 | 201 | 1,678 | 5.358209 | 0.333333 | 0.167131 | 0.089136 | 0.089136 | 0.264624 | 0.192201 | 0.192201 | 0.159703 | 0.159703 | 0.159703 | 0 | 0 | 0.234207 | 1,678 | 47 | 79 | 35.702128 | 0.838132 | 0.039928 | 0 | 0.111111 | 0 | 0 | 0.04291 | 0.014303 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.027778 | 0 | 0.305556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
267d4a279fad22068d75718ec410431f6a3cbe63 | 12,745 | py | Python | ensembling_sgd.py | suswei/RLCT | e9e04ca5e64250dfbb94134ec5283286dcdc4358 | [
"MIT"
] | null | null | null | ensembling_sgd.py | suswei/RLCT | e9e04ca5e64250dfbb94134ec5283286dcdc4358 | [
"MIT"
] | null | null | null | ensembling_sgd.py | suswei/RLCT | e9e04ca5e64250dfbb94134ec5283286dcdc4358 | [
"MIT"
] | null | null | null | import argparse
import numpy as np
import os
from numpy.linalg import inv
import torch
import torch.nn as nn
from torch.utils.data import TensorDataset
import torch.optim as optim
from torch.distributions.multivariate_normal import MultivariateNormal
from torch.distributions.uniform import Uniform
from torch.distribut... | 42.342193 | 175 | 0.612475 | 1,824 | 12,745 | 4.134868 | 0.169408 | 0.014585 | 0.029303 | 0.007955 | 0.417396 | 0.376425 | 0.326704 | 0.267436 | 0.248077 | 0.223681 | 0 | 0.021021 | 0.242291 | 12,745 | 301 | 176 | 42.342193 | 0.759967 | 0.274696 | 0 | 0.243902 | 0 | 0 | 0.071265 | 0 | 0 | 0 | 0 | 0.003322 | 0 | 1 | 0.042683 | false | 0 | 0.073171 | 0 | 0.152439 | 0.036585 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
268c51ed50d4a8d0b92613024c9ad4e9c61f0c83 | 371 | py | Python | Statistics/PopulationMean.py | cadibemma/Statistical-Calculator | 4135487577af9e17b51317e72d7b07c09390f3f6 | [
"MIT"
] | 1 | 2020-06-27T22:14:11.000Z | 2020-06-27T22:14:11.000Z | Statistics/PopulationMean.py | cadibemma/Statistical-Calculator | 4135487577af9e17b51317e72d7b07c09390f3f6 | [
"MIT"
] | 28 | 2020-06-28T15:03:56.000Z | 2020-07-07T16:29:27.000Z | Statistics/PopulationMean.py | cadibemma/Statistical-Calculator | 4135487577af9e17b51317e72d7b07c09390f3f6 | [
"MIT"
] | 1 | 2020-06-27T14:33:20.000Z | 2020-06-27T14:33:20.000Z | # from Calculator.Addition import addition
from Calculator.Division import division
def populationmean(num):
try:
num_values = len(num)
total = sum(num)
return division(total, num_values)
except ZeroDivisionError:
print("Error: Enter values greater than 0")
except ValueErro... | 28.538462 | 51 | 0.684636 | 43 | 371 | 5.860465 | 0.627907 | 0.111111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003546 | 0.239892 | 371 | 13 | 52 | 28.538462 | 0.890071 | 0.107817 | 0 | 0 | 0 | 0 | 0.19697 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.3 | 0.2 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
26931376c81cc95ed098daf30d28fcc4518c0ee9 | 1,842 | py | Python | bot/NFQ.py | cyber-meow/Robotic_state_repr_learning | d74fe372bea0b1cf42107450a8c3344a99279e91 | [
"MIT"
] | null | null | null | bot/NFQ.py | cyber-meow/Robotic_state_repr_learning | d74fe372bea0b1cf42107450a8c3344a99279e91 | [
"MIT"
] | null | null | null | bot/NFQ.py | cyber-meow/Robotic_state_repr_learning | d74fe372bea0b1cf42107450a8c3344a99279e91 | [
"MIT"
] | null | null | null |
import numpy as np
from sklearn.neural_network import MLPRegressor
from sklearn.exceptions import NotFittedError
from inter.interfaces import QLearning
from utility import set_all_args
class NFQ(QLearning):
gamma = 0.9
beta = 0.8
def __init__(self, **kwargs):
self.mlp = MLPRegressor(
... | 29.238095 | 76 | 0.58089 | 248 | 1,842 | 4.165323 | 0.370968 | 0.075508 | 0.058083 | 0.046467 | 0.162633 | 0.108422 | 0.108422 | 0.058083 | 0 | 0 | 0 | 0.016279 | 0.299674 | 1,842 | 62 | 77 | 29.709677 | 0.784496 | 0.01683 | 0 | 0.05 | 0 | 0 | 0.004484 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 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 |
13fe23236e035adcc7cad3112d9cc94bfc4481fa | 66,843 | py | Python | TransitionListener/transitionFinder.py | tasicarl/TransitionListerner_public | b231467e731f51521a85dd962cc08da07eca8226 | [
"MIT"
] | null | null | null | TransitionListener/transitionFinder.py | tasicarl/TransitionListerner_public | b231467e731f51521a85dd962cc08da07eca8226 | [
"MIT"
] | null | null | null | TransitionListener/transitionFinder.py | tasicarl/TransitionListerner_public | b231467e731f51521a85dd962cc08da07eca8226 | [
"MIT"
] | 1 | 2021-11-04T08:12:10.000Z | 2021-11-04T08:12:10.000Z | """
The transitionFinder module is used to calculate finite temperature
cosmological phase transitions: it contains functions to find the phase
structure as a function of temperature, and functions to find the transition
(bubble nucleation) temperature for each phase.
In contrast, :mod:`.pathDefomration` is useful for ... | 40.412938 | 222 | 0.585536 | 8,823 | 66,843 | 4.345121 | 0.101326 | 0.016694 | 0.012416 | 0.005765 | 0.448131 | 0.399405 | 0.369878 | 0.349427 | 0.331481 | 0.317865 | 0 | 0.01561 | 0.319525 | 66,843 | 1,653 | 223 | 40.437387 | 0.82724 | 0.363658 | 0 | 0.455435 | 0 | 0.005435 | 0.07899 | 0.001087 | 0 | 0 | 0 | 0.00121 | 0.003261 | 1 | 0.042391 | false | 0.004348 | 0.009783 | 0.011957 | 0.105435 | 0.047826 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13fecb8c46693f75faf20fe0071fb2ddb03a2ed2 | 3,720 | py | Python | red-scare/instance-generators/make-words.py | Sebastian-ba/DoDoBing | 6edcc18de22ad76505d2c13ac6a207a2c274cc95 | [
"MIT"
] | 3 | 2017-09-25T11:59:20.000Z | 2017-11-20T12:55:21.000Z | red-scare/instance-generators/make-words.py | ITU-2019/DoDoBing | 6edcc18de22ad76505d2c13ac6a207a2c274cc95 | [
"MIT"
] | 6 | 2017-09-25T12:04:51.000Z | 2017-11-13T07:51:40.000Z | red-scare/instance-generators/make-words.py | ITU-2019/DoDoBing | 6edcc18de22ad76505d2c13ac6a207a2c274cc95 | [
"MIT"
] | null | null | null | import sys
import random
import networkx as nx
from write_nx_graph import write_graph
uncommons = set() # Everything except the 3300 common words in SGB
f = open ('data/words.txt','r')
words = []
for line in f:
if len(line)>0 and line[0] == '*': continue
word = line.strip()[:5]
words.append(wo... | 36.116505 | 109 | 0.470968 | 466 | 3,720 | 3.701717 | 0.244635 | 0.017391 | 0.02087 | 0.026087 | 0.295652 | 0.295652 | 0.190145 | 0.190145 | 0.144928 | 0.105507 | 0 | 0.052232 | 0.397849 | 3,720 | 102 | 110 | 36.470588 | 0.717857 | 0.044355 | 0 | 0.16092 | 0 | 0 | 0.04169 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08046 | false | 0 | 0.045977 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
13ff78cbd83636d6edec29d58b60fdaa0be4d91a | 7,490 | py | Python | scripts/strelka-2.9.2.centos6_x86_64/share/scoringModelTraining/somatic/bin/vcf_to_feature_csv.py | dongxuemin666/RNA-combine | 13e178aae585e16a9a8eda8151d0f34316de0475 | [
"Apache-2.0"
] | 7 | 2021-09-03T09:11:00.000Z | 2022-02-14T15:02:12.000Z | scripts/strelka-2.9.2.centos6_x86_64/share/scoringModelTraining/somatic/bin/vcf_to_feature_csv.py | dongxuemin666/RNA-combine | 13e178aae585e16a9a8eda8151d0f34316de0475 | [
"Apache-2.0"
] | null | null | null | scripts/strelka-2.9.2.centos6_x86_64/share/scoringModelTraining/somatic/bin/vcf_to_feature_csv.py | dongxuemin666/RNA-combine | 13e178aae585e16a9a8eda8151d0f34316de0475 | [
"Apache-2.0"
] | 2 | 2022-01-10T13:07:29.000Z | 2022-01-11T22:14:11.000Z | #!/usr/bin/env python2
#
# Strelka - Small Variant Caller
# Copyright (c) 2009-2018 Illumina, Inc.
#
# This program 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... | 41.153846 | 192 | 0.633111 | 887 | 7,490 | 5.290868 | 0.328072 | 0.028766 | 0.028979 | 0.012146 | 0.12508 | 0.066056 | 0.024292 | 0.024292 | 0.024292 | 0 | 0 | 0.004168 | 0.263284 | 7,490 | 181 | 193 | 41.381215 | 0.846321 | 0.242457 | 0 | 0.078431 | 0 | 0.019608 | 0.186 | 0.008 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04902 | false | 0 | 0.068627 | 0 | 0.147059 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd0344b2d15b20e60fd3ab647958bb726ead940c | 2,750 | py | Python | qiskit_neko/backend_plugin.py | garrison/qiskit-neko | 50c6f0f6975425c7ff86417cedc094e984dc5d1c | [
"Apache-2.0"
] | 5 | 2022-01-11T16:07:48.000Z | 2022-02-01T22:05:34.000Z | qiskit_neko/backend_plugin.py | garrison/qiskit-neko | 50c6f0f6975425c7ff86417cedc094e984dc5d1c | [
"Apache-2.0"
] | 1 | 2022-02-03T14:10:57.000Z | 2022-02-03T14:10:57.000Z | qiskit_neko/backend_plugin.py | garrison/qiskit-neko | 50c6f0f6975425c7ff86417cedc094e984dc5d1c | [
"Apache-2.0"
] | 1 | 2022-03-07T15:06:21.000Z | 2022-03-07T15:06:21.000Z | # This code is part of Qiskit.
#
# (C) Copyright IBM 2022.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... | 36.184211 | 87 | 0.704 | 378 | 2,750 | 5.039683 | 0.489418 | 0.041995 | 0.010499 | 0.025197 | 0.031496 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003813 | 0.237091 | 2,750 | 75 | 88 | 36.666667 | 0.904194 | 0.626909 | 0 | 0 | 0 | 0 | 0.054176 | 0.030474 | 0 | 0 | 0 | 0 | 0 | 1 | 0.16 | false | 0.04 | 0.12 | 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 |
cd03952161db20fd79bc08d5412273256911f00a | 2,155 | py | Python | utils/utils.py | ZhenqiSong/OCR_Pytorch | df4e8c53353b6c515509241d4c9af3b153224a10 | [
"MIT"
] | null | null | null | utils/utils.py | ZhenqiSong/OCR_Pytorch | df4e8c53353b6c515509241d4c9af3b153224a10 | [
"MIT"
] | null | null | null | utils/utils.py | ZhenqiSong/OCR_Pytorch | df4e8c53353b6c515509241d4c9af3b153224a10 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# __author__:Song Zhenqi
# 2021-01-20
import os
import sys
import yaml
import logging
import functools
logger_initialized = set()
def get_img_list(img_file):
img_lists = []
if img_file is None or not os.path.exists(img_file):
raise FileNotFoundError("file path: {} is not exis... | 27.278481 | 91 | 0.645476 | 283 | 2,155 | 4.75265 | 0.392226 | 0.057249 | 0.01487 | 0.022305 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006687 | 0.236659 | 2,155 | 78 | 92 | 27.628205 | 0.810942 | 0.116937 | 0 | 0.065217 | 0 | 0 | 0.081932 | 0 | 0 | 0 | 0 | 0 | 0.021739 | 1 | 0.065217 | false | 0 | 0.108696 | 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 |
cd0601891b2dad5746ac7c08ac9655b6e8d13ab9 | 2,130 | py | Python | monitoring/uss_qualifier/webapp/tasks.py | interuss/InterUSS-Platform | 099abaa1159c4c143f8f1fde6b88956c86608281 | [
"Apache-2.0"
] | null | null | null | monitoring/uss_qualifier/webapp/tasks.py | interuss/InterUSS-Platform | 099abaa1159c4c143f8f1fde6b88956c86608281 | [
"Apache-2.0"
] | 1 | 2021-11-29T21:53:39.000Z | 2021-11-29T21:53:39.000Z | monitoring/uss_qualifier/webapp/tasks.py | interuss/InterUSS-Platform | 099abaa1159c4c143f8f1fde6b88956c86608281 | [
"Apache-2.0"
] | null | null | null | from monitoring.uss_qualifier.test_data import test_report
from monitoring.uss_qualifier.utils import USSQualifierTestConfiguration
from monitoring.uss_qualifier.main import uss_test_executor
from monitoring.uss_qualifier.rid.simulator import flight_state_from_kml
from monitoring.uss_qualifier.rid.utils import FullFlig... | 30.869565 | 88 | 0.746948 | 269 | 2,130 | 5.628253 | 0.297398 | 0.064729 | 0.067371 | 0.103038 | 0.299207 | 0.280053 | 0.239102 | 0.187583 | 0.113606 | 0.113606 | 0 | 0.000575 | 0.184038 | 2,130 | 68 | 89 | 31.323529 | 0.870541 | 0.013615 | 0 | 0.172414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.224138 | 0 | 0.396552 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd06e20fb3a5b8f7301bbddc6604a232ac3d8294 | 11,853 | py | Python | grenades_services/modules/basket.py | Parveen3300/Reans | 6dfce046b01099284a8c945a04600ed83e5099a4 | [
"Apache-2.0"
] | null | null | null | grenades_services/modules/basket.py | Parveen3300/Reans | 6dfce046b01099284a8c945a04600ed83e5099a4 | [
"Apache-2.0"
] | null | null | null | grenades_services/modules/basket.py | Parveen3300/Reans | 6dfce046b01099284a8c945a04600ed83e5099a4 | [
"Apache-2.0"
] | null | null | null | """
BasketManagementRelated modules
"""
# import basket models
from basket.models import Basket
from basket.models import BasketProductLine
# import configuration models
from grenades_services.all_configuration_data import get_currency_instance
from grenades_services.all_configuration_data import get_customer_instance... | 40.731959 | 114 | 0.651312 | 1,318 | 11,853 | 5.487102 | 0.127466 | 0.041482 | 0.042035 | 0.031803 | 0.390072 | 0.297566 | 0.256084 | 0.192754 | 0.157218 | 0.1362 | 0 | 0.009172 | 0.273349 | 11,853 | 290 | 115 | 40.872414 | 0.830489 | 0.2218 | 0 | 0.245714 | 0 | 0 | 0.069529 | 0.010821 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091429 | false | 0 | 0.04 | 0 | 0.245714 | 0.022857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd0b619e6db23ae007998ba9f088e9c319778c9d | 517 | py | Python | 230.py | BYOUINZAKA/LeetCodeNotes | 48e1b4522c1f769eeec4944cfbd57abf1281d09a | [
"MIT"
] | null | null | null | 230.py | BYOUINZAKA/LeetCodeNotes | 48e1b4522c1f769eeec4944cfbd57abf1281d09a | [
"MIT"
] | null | null | null | 230.py | BYOUINZAKA/LeetCodeNotes | 48e1b4522c1f769eeec4944cfbd57abf1281d09a | [
"MIT"
] | null | null | null | '''
@Author: Hata
@Date: 2020-05-24 15:30:19
@LastEditors: Hata
@LastEditTime: 2020-05-24 15:32:04
@FilePath: \LeetCode\230.py
@Description: https://leetcode-cn.com/problems/kth-smallest-element-in-a-bst/
'''
class Solution:
def kthSmallest(self, root, k):
def gen(r):
if r is not None:
... | 22.478261 | 77 | 0.558994 | 74 | 517 | 3.891892 | 0.702703 | 0.041667 | 0.055556 | 0.069444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.086835 | 0.309478 | 517 | 22 | 78 | 23.5 | 0.719888 | 0.381044 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0 | 0 | 0.363636 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd0c0c186a507173da38fb9c91812fd94be9043a | 3,430 | py | Python | Scripts/TestParsers/PyUnittestTestParser.py | davidbrownell/v3-Common_Environment | 8f42f256e573cbd83cbf9813db9958025ddf12f2 | [
"BSL-1.0"
] | null | null | null | Scripts/TestParsers/PyUnittestTestParser.py | davidbrownell/v3-Common_Environment | 8f42f256e573cbd83cbf9813db9958025ddf12f2 | [
"BSL-1.0"
] | 1 | 2018-06-08T06:45:16.000Z | 2018-06-08T06:45:16.000Z | Scripts/TestParsers/PyUnittestTestParser.py | davidbrownell/v3-Common_Environment | 8f42f256e573cbd83cbf9813db9958025ddf12f2 | [
"BSL-1.0"
] | 1 | 2018-06-08T04:15:17.000Z | 2018-06-08T04:15:17.000Z | # ----------------------------------------------------------------------
# |
# | PythonUnittestTestParser.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2018-05-22 07:59:46
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2018-22.
# | ... | 38.539326 | 159 | 0.473178 | 275 | 3,430 | 5.76 | 0.436364 | 0.035354 | 0.041667 | 0.015152 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011725 | 0.229155 | 3,430 | 88 | 160 | 38.977273 | 0.587368 | 0.390379 | 0 | 0.159091 | 0 | 0 | 0.058465 | 0 | 0 | 0 | 0 | 0 | 0.022727 | 1 | 0.090909 | false | 0 | 0.204545 | 0.022727 | 0.590909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd0c8d9af792a61f23cb21cb4b226023ec5c2f1f | 7,116 | py | Python | fairseq/models/transformer_xlm_iwslt_decoder.py | jm-glowienke/fairseq | ca45353322f92776e34a7308bf3fab75af9c1d50 | [
"MIT"
] | null | null | null | fairseq/models/transformer_xlm_iwslt_decoder.py | jm-glowienke/fairseq | ca45353322f92776e34a7308bf3fab75af9c1d50 | [
"MIT"
] | null | null | null | fairseq/models/transformer_xlm_iwslt_decoder.py | jm-glowienke/fairseq | ca45353322f92776e34a7308bf3fab75af9c1d50 | [
"MIT"
] | null | null | null | # Copyright (c) Facebook, Inc. and its affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import os
from typing import Any, Dict
from fairseq import checkpoint_utils
from fairseq.data.legacy.masked_lm_dictionary import MaskedLMDict... | 40.662857 | 82 | 0.647274 | 786 | 7,116 | 5.587786 | 0.221374 | 0.076958 | 0.104736 | 0.036885 | 0.331967 | 0.246585 | 0.203552 | 0.175546 | 0.153005 | 0.153005 | 0 | 0.003477 | 0.272485 | 7,116 | 174 | 83 | 40.896552 | 0.844891 | 0.210933 | 0 | 0.1 | 0 | 0 | 0.245443 | 0.067858 | 0 | 0 | 0 | 0 | 0.041667 | 1 | 0.058333 | false | 0 | 0.05 | 0.016667 | 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 |
cd0ff0154f3a2ed2059c34dae1964cf271d9a2e1 | 3,674 | py | Python | analysis/sharpness.py | sanketvmehta/lifelong-learning-pretraining-and-sam | 2fee18a4b13c918f6005f88c19089b86f4a8aae2 | [
"Apache-2.0"
] | null | null | null | analysis/sharpness.py | sanketvmehta/lifelong-learning-pretraining-and-sam | 2fee18a4b13c918f6005f88c19089b86f4a8aae2 | [
"Apache-2.0"
] | null | null | null | analysis/sharpness.py | sanketvmehta/lifelong-learning-pretraining-and-sam | 2fee18a4b13c918f6005f88c19089b86f4a8aae2 | [
"Apache-2.0"
] | null | null | null | import copy
import numpy as np
import torch
from scipy import optimize
import logging
def sharpness(model, criterion_fn, A, epsilon=1e-3, p=0, bounds=None):
"""Computes sharpness metric according to https://arxiv.org/abs/1609.04836.
Args:
model: Model on which to compute sharpness
criterion_... | 32.803571 | 80 | 0.631464 | 491 | 3,674 | 4.627291 | 0.285132 | 0.033891 | 0.008803 | 0.007923 | 0.194982 | 0.146127 | 0.146127 | 0.118838 | 0.051937 | 0.051937 | 0 | 0.013253 | 0.281165 | 3,674 | 111 | 81 | 33.099099 | 0.847028 | 0.311922 | 0 | 0.191781 | 0 | 0 | 0.018033 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.082192 | false | 0 | 0.068493 | 0 | 0.219178 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd13a01142ccf63d717a89caf8e588ed9c337f8d | 850 | py | Python | D_QuickS.py | rut999/Algo | 9180f66452597a758a31073cb2b8fa4a3e6a93fe | [
"MIT"
] | null | null | null | D_QuickS.py | rut999/Algo | 9180f66452597a758a31073cb2b8fa4a3e6a93fe | [
"MIT"
] | null | null | null | D_QuickS.py | rut999/Algo | 9180f66452597a758a31073cb2b8fa4a3e6a93fe | [
"MIT"
] | null | null | null | import time
from random import randint
def random_int(x):
value = []
for i in range(x):
value.append(randint(0, x))
return value
def Quick_sort(list1):
N = len(list1)
if N <=1:
return list1
pivot = list1.pop()
# mid = len(list1)//2
Left_H = []
Right_H = []
for i... | 22.368421 | 74 | 0.583529 | 134 | 850 | 3.58209 | 0.395522 | 0.09375 | 0.025 | 0.045833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.106583 | 0.249412 | 850 | 37 | 75 | 22.972973 | 0.645768 | 0.272941 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.08 | 0 | 0.28 | 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 |
cd18f82e759c1f805c2c156a96b2d6d4fe352c3d | 780 | py | Python | api/service/cidades_atendimento_service.py | FinotelliCarlos/ewipesimple-adminweb-python | 3bf779250efeb9f85b4283ffbf210bf227aa8e8c | [
"MIT"
] | 1 | 2021-06-17T06:13:33.000Z | 2021-06-17T06:13:33.000Z | api/service/cidades_atendimento_service.py | FinotelliCarlos/ewipesimple-adminweb-python | 3bf779250efeb9f85b4283ffbf210bf227aa8e8c | [
"MIT"
] | null | null | null | api/service/cidades_atendimento_service.py | FinotelliCarlos/ewipesimple-adminweb-python | 3bf779250efeb9f85b4283ffbf210bf227aa8e8c | [
"MIT"
] | null | null | null | from adminweb.services import cep_service
from adminweb.models import Profissional
from rest_framework import serializers
import json
def listar_profissionais_cidade(cep):
codigo_ibge = buscar_cidade_cep(cep)['ibge']
try:
profissionais = Profissional.objects.filter(codigo_ibge=codigo_ibge).order_by('i... | 32.5 | 91 | 0.75 | 96 | 780 | 5.895833 | 0.489583 | 0.063604 | 0.079505 | 0.095406 | 0.155477 | 0.155477 | 0 | 0 | 0 | 0 | 0 | 0.004658 | 0.174359 | 780 | 23 | 92 | 33.913043 | 0.874224 | 0 | 0 | 0 | 0 | 0 | 0.097436 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.105263 | false | 0 | 0.210526 | 0 | 0.473684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd1a66acf2cfd6c3c481c4c94e53d436215cbbe7 | 9,414 | py | Python | omicron/core/numpy_extensions.py | evimacs/omicron | abe77fd25a93cf3d0d17661ae957373474724535 | [
"MIT"
] | 4 | 2020-11-09T02:23:51.000Z | 2021-01-24T00:45:21.000Z | omicron/core/numpy_extensions.py | evimacs/omicron | abe77fd25a93cf3d0d17661ae957373474724535 | [
"MIT"
] | 14 | 2020-11-09T02:31:34.000Z | 2021-12-22T10:15:47.000Z | omicron/core/numpy_extensions.py | evimacs/omicron | abe77fd25a93cf3d0d17661ae957373474724535 | [
"MIT"
] | 2 | 2021-01-24T00:45:25.000Z | 2021-12-24T06:18:37.000Z | """Extension function related to numpy
"""
from __future__ import annotations
from typing import List, Tuple
import numpy as np
import pandas
from numpy.typing import ArrayLike
def dict_to_numpy_array(d: dict, dtype: List[Tuple]) -> np.array:
"""convert dictionary to numpy array
Examples:
>>> d = {"aa... | 26.222841 | 161 | 0.546633 | 1,247 | 9,414 | 4.054531 | 0.256616 | 0.019383 | 0.010878 | 0.008307 | 0.109573 | 0.074367 | 0.050633 | 0.041535 | 0.018196 | 0 | 0 | 0.060505 | 0.297748 | 9,414 | 358 | 162 | 26.296089 | 0.704281 | 0.504143 | 0 | 0.086207 | 0 | 0.008621 | 0.030966 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086207 | false | 0 | 0.043103 | 0.008621 | 0.241379 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd1c390db89d68211aa13e58ba3a2a89676c5247 | 3,039 | py | Python | finetuning/pretrain_scripts/create_sentiment_mask.py | tatsu-lab/mlm_inductive_bias | 2d99e2477293036949ba356c88513729244dc1f9 | [
"MIT"
] | 10 | 2021-04-14T22:06:19.000Z | 2022-01-12T19:41:12.000Z | finetuning/pretrain_scripts/create_sentiment_mask.py | tatsu-lab/mlm_inductive_bias | 2d99e2477293036949ba356c88513729244dc1f9 | [
"MIT"
] | null | null | null | finetuning/pretrain_scripts/create_sentiment_mask.py | tatsu-lab/mlm_inductive_bias | 2d99e2477293036949ba356c88513729244dc1f9 | [
"MIT"
] | 3 | 2021-06-06T09:43:14.000Z | 2022-02-20T00:40:42.000Z | """
This script computes word masks based on sentiment lexicons
"""
import os
import torch
import argparse
from tqdm import tqdm
from transformers import AutoTokenizer
from transformers import GlueDataTrainingArguments as DataTrainingArguments
from transformers import GlueDataset as Dataset
parser = argparse.Argumen... | 37.518519 | 136 | 0.66535 | 422 | 3,039 | 4.646919 | 0.329384 | 0.039266 | 0.034676 | 0.028557 | 0.237634 | 0.216216 | 0.18562 | 0.163182 | 0.163182 | 0.163182 | 0 | 0.009595 | 0.211254 | 3,039 | 80 | 137 | 37.9875 | 0.808511 | 0.080948 | 0 | 0.105263 | 0 | 0.017544 | 0.202805 | 0.055016 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.122807 | 0 | 0.122807 | 0.035088 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd1f80834765c75ab8a5bfc49335f1d5e1f2a008 | 456 | py | Python | Leetcode/443. String Compression/solution2.py | asanoviskhak/Outtalent | c500e8ad498f76d57eb87a9776a04af7bdda913d | [
"MIT"
] | 51 | 2020-07-12T21:27:47.000Z | 2022-02-11T19:25:36.000Z | Leetcode/443. String Compression/solution2.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | null | null | null | Leetcode/443. String Compression/solution2.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | 32 | 2020-07-27T13:54:24.000Z | 2021-12-25T18:12:50.000Z | class Solution:
def compress(self, chars: List[str]) -> int:
l = 0
while l < len(chars):
r = l + 1
while r < len(chars) and chars[l] == chars[r]: r += 1
num = r - l
for k in range(r - l, 1, -1): chars.pop(l)
if num > 1:
for ... | 32.571429 | 75 | 0.41886 | 68 | 456 | 2.808824 | 0.411765 | 0.125654 | 0.031414 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03125 | 0.438596 | 456 | 13 | 76 | 35.076923 | 0.714844 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd2798a9ad4d90fcc9bb40c5df39c9d1117edd80 | 5,946 | py | Python | fetch.py | kirillvarn/grocerycomparator-stat | 861f90a2d5b4c2b52d89b6cdb574b722eae2327d | [
"MIT"
] | null | null | null | fetch.py | kirillvarn/grocerycomparator-stat | 861f90a2d5b4c2b52d89b6cdb574b722eae2327d | [
"MIT"
] | null | null | null | fetch.py | kirillvarn/grocerycomparator-stat | 861f90a2d5b4c2b52d89b6cdb574b722eae2327d | [
"MIT"
] | null | null | null | import repo
import export.csv as csv
# CONSTANTS
milk_q = "SELECT * FROM \"%s\" WHERE price != 0 AND discount = false AND (name ILIKE '%%1l%%' OR name ILIKE '%%1 l%%') AND (name ILIKE '%%piim %%' OR name ILIKE '%%piim,%%') AND name NOT ILIKE '%%juust%%' AND name NOT ILIKE '%%kohupiim%%' AND name NOT ILIKE '%%laktoos%%... | 58.871287 | 365 | 0.601245 | 835 | 5,946 | 4.209581 | 0.189222 | 0.101565 | 0.085349 | 0.123755 | 0.433855 | 0.407112 | 0.388336 | 0.388336 | 0.374964 | 0.336558 | 0 | 0.006888 | 0.218634 | 5,946 | 100 | 366 | 59.46 | 0.749677 | 0.235452 | 0 | 0.133333 | 0 | 0.183333 | 0.581251 | 0.014592 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.033333 | 0.016667 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd27a3a7d166518d8d7678101792de0e23b578ef | 1,755 | py | Python | code1.py | roshangol/executed-path-visualize | 1759c12b0048fe117205990b151d2f5f57ad9616 | [
"MIT"
] | null | null | null | code1.py | roshangol/executed-path-visualize | 1759c12b0048fe117205990b151d2f5f57ad9616 | [
"MIT"
] | null | null | null | code1.py | roshangol/executed-path-visualize | 1759c12b0048fe117205990b151d2f5f57ad9616 | [
"MIT"
] | null | null | null | # EX1
# if x < y:
# y = 0
# x = x + 1
# else:
# x = y
def max(a, b, c):
if a > b and a > c:
print(a,' is maximum among all')
elif b > a and b > c:
print(b, ' is maximum among all')
else:
print(c, ' is maximum among all')
max(30, 28, 18)
# def triangleType(a, b, c):
# ... | 16.25 | 66 | 0.4 | 275 | 1,755 | 2.552727 | 0.254545 | 0.02849 | 0.017094 | 0.07265 | 0.153846 | 0.133903 | 0.133903 | 0.133903 | 0.037037 | 0 | 0 | 0.054795 | 0.417664 | 1,755 | 107 | 67 | 16.401869 | 0.632094 | 0.773219 | 0 | 0 | 0 | 0 | 0.198113 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.125 | 0.375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd28f531641b97aa10ded06e3c6b7fdb2de0d2e7 | 1,193 | py | Python | GameProject/dice.py | CreativeUsernameThatWontInsultAnyone/GameProject | 998274e4587d93ff0564af174f4fc1e3a3e60174 | [
"CC0-1.0"
] | 1 | 2021-11-13T17:14:03.000Z | 2021-11-13T17:14:03.000Z | GameProject/dice.py | CreativeUsernameThatWontInsultAnyone/GameProject | 998274e4587d93ff0564af174f4fc1e3a3e60174 | [
"CC0-1.0"
] | null | null | null | GameProject/dice.py | CreativeUsernameThatWontInsultAnyone/GameProject | 998274e4587d93ff0564af174f4fc1e3a3e60174 | [
"CC0-1.0"
] | null | null | null | import random
import time
while (1):
def clear(): ##Placeholder code
time.sleep(1)
clearConsole = lambda: print('\n' * 150) ##
clearConsole()
wmsg = "Good morning!"
events = {
1 : "calm",
2 : "calm",
3... | 28.404762 | 105 | 0.506287 | 144 | 1,193 | 4.194444 | 0.583333 | 0.044702 | 0.009934 | 0.013245 | 0.019868 | 0.019868 | 0 | 0 | 0 | 0 | 0 | 0.033467 | 0.373847 | 1,193 | 41 | 106 | 29.097561 | 0.7751 | 0.198659 | 0 | 0.09375 | 0 | 0 | 0.184939 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.0625 | 0 | 0.09375 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd2c1598eaae27b2b8504f6e96bc81711b260dde | 774 | py | Python | multivision/oa_image_io.py | olaals/tpktools | 50416ca554809e3d2f364b25531c78cf4751311c | [
"MIT"
] | null | null | null | multivision/oa_image_io.py | olaals/tpktools | 50416ca554809e3d2f364b25531c78cf4751311c | [
"MIT"
] | null | null | null | multivision/oa_image_io.py | olaals/tpktools | 50416ca554809e3d2f364b25531c78cf4751311c | [
"MIT"
] | null | null | null | import numpy as np
import OpenEXR as exr
import cv2
import Imath
import matplotlib.pyplot as plt
def readEXR(filename):
exrfile = exr.InputFile(filename)
header = exrfile.header()
dw = header['dataWindow']
isize = (dw.max.y - dw.min.y + 1, dw.max.x - dw.min.x + 1)
channelData = dict()
# conver... | 29.769231 | 90 | 0.630491 | 114 | 774 | 4.280702 | 0.5 | 0.018443 | 0.02459 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009967 | 0.222222 | 774 | 25 | 91 | 30.96 | 0.800664 | 0.063307 | 0 | 0 | 0 | 0 | 0.047157 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.263158 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd318b68f4231a08be74b1a2c64d0b4969b29c51 | 2,422 | py | Python | NNet/utils/readNNet.py | noyahoch/Marabou | 03eb551498287e5372d462e3c2ad4fcc3210a5fa | [
"BSD-3-Clause"
] | 7 | 2020-01-27T21:25:49.000Z | 2022-01-07T04:37:37.000Z | NNet/utils/readNNet.py | noyahoch/Marabou | 03eb551498287e5372d462e3c2ad4fcc3210a5fa | [
"BSD-3-Clause"
] | 1 | 2022-01-25T17:41:54.000Z | 2022-01-26T02:27:51.000Z | NNet/utils/readNNet.py | noyahoch/Marabou | 03eb551498287e5372d462e3c2ad4fcc3210a5fa | [
"BSD-3-Clause"
] | 3 | 2020-03-14T17:12:17.000Z | 2022-03-16T09:50:46.000Z | import numpy as np
def readNNet(nnetFile, withNorm=False):
'''
Read a .nnet file and return list of weight matrices and bias vectors
Inputs:
nnetFile: (string) .nnet file to read
withNorm: (bool) If true, return normalization parameters
Returns:
weights: List of ... | 27.83908 | 103 | 0.562758 | 311 | 2,422 | 4.382637 | 0.282958 | 0.040352 | 0.104916 | 0.061629 | 0.289068 | 0.242113 | 0.22157 | 0.200293 | 0.153338 | 0.088041 | 0 | 0.015449 | 0.30512 | 2,422 | 87 | 104 | 27.83908 | 0.794415 | 0.251858 | 0 | 0.480769 | 0 | 0 | 0.009665 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019231 | false | 0 | 0.019231 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd336f08882633e139c7b8cf8e6bbf9503123d24 | 13,668 | py | Python | models/model.py | hearai/hearai | 2f2bc2923fa2bb170d9ed895c3f638e99811442f | [
"MIT"
] | 16 | 2021-12-16T20:19:31.000Z | 2022-03-19T15:59:23.000Z | models/model.py | hearai/hearai | 2f2bc2923fa2bb170d9ed895c3f638e99811442f | [
"MIT"
] | 34 | 2021-12-21T19:33:31.000Z | 2022-03-31T19:04:39.000Z | models/model.py | hearai/hearai | 2f2bc2923fa2bb170d9ed895c3f638e99811442f | [
"MIT"
] | 5 | 2021-12-18T22:35:20.000Z | 2022-02-20T12:26:39.000Z | from typing import Dict
import neptune.new as neptune
import numpy as np
import pytorch_lightning as pl
import torch
import torch.nn as nn
from config import NEPTUNE_API_TOKEN, NEPTUNE_PROJECT_NAME
from sklearn.metrics import classification_report, f1_score
from utils.summary_loss import SummaryLoss
from math import c... | 41.92638 | 136 | 0.592479 | 1,382 | 13,668 | 5.591896 | 0.194645 | 0.05823 | 0.054089 | 0.033644 | 0.273163 | 0.178571 | 0.149068 | 0.104296 | 0.059006 | 0.059006 | 0 | 0.003993 | 0.321993 | 13,668 | 325 | 137 | 42.055385 | 0.829934 | 0.156277 | 0 | 0.138655 | 0 | 0 | 0.071023 | 0.013938 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054622 | false | 0 | 0.063025 | 0.004202 | 0.155462 | 0.012605 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd33abe036b992ac7ac194a0541c5439617437c4 | 2,305 | py | Python | solutions/day09/solution.py | dbjohnson/advent-of-code-2021 | 2ed1d30362afa0a73c890730cea46de3291be21f | [
"MIT"
] | null | null | null | solutions/day09/solution.py | dbjohnson/advent-of-code-2021 | 2ed1d30362afa0a73c890730cea46de3291be21f | [
"MIT"
] | null | null | null | solutions/day09/solution.py | dbjohnson/advent-of-code-2021 | 2ed1d30362afa0a73c890730cea46de3291be21f | [
"MIT"
] | null | null | null | from functools import lru_cache
from collections import defaultdict
import pandas as pd
import numpy as np
with open('input.txt') as fh:
depthmap = pd.DataFrame([{
'row': row,
'col': col,
'height': int(d)
}
for row, line in enumerate(fh)
for col, d in enumerate(line.str... | 21.342593 | 67 | 0.516269 | 296 | 2,305 | 3.966216 | 0.331081 | 0.061329 | 0.044293 | 0.07155 | 0.205281 | 0.15247 | 0.109881 | 0.083475 | 0.056218 | 0 | 0 | 0.030619 | 0.334056 | 2,305 | 108 | 68 | 21.342593 | 0.734202 | 0.106291 | 0 | 0.223529 | 0 | 0 | 0.043372 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.011765 | false | 0 | 0.047059 | 0 | 0.082353 | 0.035294 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd3470135bfe7a2b8866c6a268c9e629dad7a8b7 | 3,467 | py | Python | docs/conf.py | ocefpaf/pystac-client | ddf0e0566b2b1783a4d32d3d77f9f51b80270df3 | [
"Apache-2.0"
] | 52 | 2021-04-15T23:24:12.000Z | 2022-03-09T23:02:27.000Z | docs/conf.py | ocefpaf/pystac-client | ddf0e0566b2b1783a4d32d3d77f9f51b80270df3 | [
"Apache-2.0"
] | 119 | 2021-04-13T11:42:01.000Z | 2022-02-24T10:02:35.000Z | docs/conf.py | ocefpaf/pystac-client | ddf0e0566b2b1783a4d32d3d77f9f51b80270df3 | [
"Apache-2.0"
] | 14 | 2021-04-13T19:00:19.000Z | 2022-02-23T09:17:30.000Z | # Configuration file for the Sphinx documentation builder.
#
# This file only contains a selection of the most common options. For a full
# list see the documentation:
# https://www.sphinx-doc.org/en/master/usage/configuration.html
import re
import subprocess
import sys
from pathlib import Path
# -- Path setup ------... | 33.660194 | 97 | 0.654168 | 425 | 3,467 | 5.221176 | 0.48 | 0.024335 | 0.020279 | 0.01352 | 0.044164 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003709 | 0.144505 | 3,467 | 102 | 98 | 33.990196 | 0.744437 | 0.496971 | 0 | 0 | 0 | 0 | 0.398949 | 0.03972 | 0 | 0 | 0 | 0.009804 | 0 | 1 | 0 | false | 0 | 0.1 | 0 | 0.1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd36eb6513428b0c0f981f91eaea0aa21154992a | 689 | py | Python | cb_scripts/nums_square_cube.py | christopher-burke/python-scripts | bdbea2456130e0958b6a6ab8d138f4f19b39b934 | [
"MIT"
] | 1 | 2022-02-05T06:39:05.000Z | 2022-02-05T06:39:05.000Z | cb_scripts/nums_square_cube.py | christopher-burke/python-scripts | bdbea2456130e0958b6a6ab8d138f4f19b39b934 | [
"MIT"
] | null | null | null | cb_scripts/nums_square_cube.py | christopher-burke/python-scripts | bdbea2456130e0958b6a6ab8d138f4f19b39b934 | [
"MIT"
] | 1 | 2021-06-10T22:04:35.000Z | 2021-06-10T22:04:35.000Z | #!/usr/bin/env python3
"""Squares and Cubes for a range of numbers.
Given a start and end, calucate the Square x**2 and
the Cube x**3 for all numbers.
Example of generator and functools.partial.
"""
from functools import partial
def power(base, exponent):
"""Raise a base to the exponent."""
return base *... | 20.264706 | 63 | 0.651669 | 109 | 689 | 4.045872 | 0.458716 | 0.031746 | 0.090703 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016514 | 0.208999 | 689 | 33 | 64 | 20.878788 | 0.792661 | 0.400581 | 0 | 0 | 0 | 0 | 0.09596 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.083333 | 0 | 0.333333 | 0.166667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd36fd075f7cd95707b64e346e7a7db96e365eac | 1,748 | py | Python | mozdns/txt/tests.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 22 | 2015-01-16T01:36:32.000Z | 2020-06-08T00:46:18.000Z | mozdns/txt/tests.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 8 | 2015-12-28T18:56:19.000Z | 2019-04-01T17:33:48.000Z | mozdns/txt/tests.py | jlin/inventory | c098c98e570c3bf9fadfd811eb75e1213f6ea428 | [
"BSD-3-Clause"
] | 13 | 2015-01-13T20:56:22.000Z | 2022-02-23T06:01:17.000Z | from django.test import TestCase
from django.core.exceptions import ValidationError
from mozdns.txt.models import TXT
from mozdns.domain.models import Domain
class TXTTests(TestCase):
def setUp(self):
self.o = Domain(name="org")
self.o.save()
self.o_e = Domain(name="oregonstate.org")
... | 29.627119 | 69 | 0.587529 | 227 | 1,748 | 4.343612 | 0.242291 | 0.045639 | 0.085193 | 0.097363 | 0.44929 | 0.341785 | 0.341785 | 0.266734 | 0.266734 | 0.230223 | 0 | 0.005507 | 0.272883 | 1,748 | 58 | 70 | 30.137931 | 0.77026 | 0 | 0 | 0.229167 | 0 | 0 | 0.089817 | 0 | 0 | 0 | 0 | 0 | 0.145833 | 1 | 0.104167 | false | 0 | 0.083333 | 0 | 0.229167 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd39f1397ad328542fed8bb62d6c47dc4c191597 | 6,698 | py | Python | xtesting/tests/unit/core/test_behaveframework.py | collivier/functest-xtesting | 17739d718901a10f7ec0aaf9a6d53141294a347d | [
"Apache-2.0"
] | 1 | 2020-05-15T12:58:58.000Z | 2020-05-15T12:58:58.000Z | xtesting/tests/unit/core/test_behaveframework.py | collivier/functest-xtesting | 17739d718901a10f7ec0aaf9a6d53141294a347d | [
"Apache-2.0"
] | null | null | null | xtesting/tests/unit/core/test_behaveframework.py | collivier/functest-xtesting | 17739d718901a10f7ec0aaf9a6d53141294a347d | [
"Apache-2.0"
] | 3 | 2018-02-28T15:55:14.000Z | 2022-02-24T15:46:12.000Z | #!/usr/bin/env python
# Copyright (c) 2019 Orange and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
"""Define t... | 37.418994 | 77 | 0.640042 | 823 | 6,698 | 4.985419 | 0.200486 | 0.083841 | 0.050695 | 0.048745 | 0.68389 | 0.637582 | 0.565684 | 0.516208 | 0.506702 | 0.418962 | 0 | 0.005939 | 0.220663 | 6,698 | 178 | 78 | 37.629213 | 0.780077 | 0.094357 | 0 | 0.453846 | 0 | 0 | 0.158331 | 0.069228 | 0 | 0 | 0 | 0 | 0.192308 | 1 | 0.146154 | false | 0.038462 | 0.038462 | 0 | 0.223077 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd3a28ba018f4c08dd5b0ec2fb2ba69c859e803c | 963 | py | Python | data/test/python/cd3a28ba018f4c08dd5b0ec2fb2ba69c859e803cdjango.py | harshp8l/deep-learning-lang-detection | 2a54293181c1c2b1a2b840ddee4d4d80177efb33 | [
"MIT"
] | 84 | 2017-10-25T15:49:21.000Z | 2021-11-28T21:25:54.000Z | data/test/python/cd3a28ba018f4c08dd5b0ec2fb2ba69c859e803cdjango.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 5 | 2018-03-29T11:50:46.000Z | 2021-04-26T13:33:18.000Z | data/test/python/cd3a28ba018f4c08dd5b0ec2fb2ba69c859e803cdjango.py | vassalos/deep-learning-lang-detection | cbb00b3e81bed3a64553f9c6aa6138b2511e544e | [
"MIT"
] | 24 | 2017-11-22T08:31:00.000Z | 2022-03-27T01:22:31.000Z | # coding=utf-8
from fabric.api import env, run
COMMAND_COLLECTSTATIC = 'collectstatic'
COMMAND_SYNCDB = 'syncdb'
COMMAND_MIGRATE = 'migrate'
_default_command = '{python} {manage} {command}'
_commands_list = {
COMMAND_COLLECTSTATIC: 'yes yes | {python} {manage} {command}',
COMMAND_MIGRATE: '{python} {manage} ... | 24.075 | 67 | 0.677051 | 115 | 963 | 5.356522 | 0.33913 | 0.113636 | 0.097403 | 0.071429 | 0.107143 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001302 | 0.202492 | 963 | 39 | 68 | 24.692308 | 0.800781 | 0.012461 | 0 | 0 | 0 | 0 | 0.14557 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.037037 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd3da08c421072d75aa5562437930fcd09889489 | 8,820 | py | Python | commercialoperator/components/bookings/utils.py | wilsonc86/ledger | a60a681e547f37e4ac81cb93dffaf90aea8c8151 | [
"Apache-2.0"
] | null | null | null | commercialoperator/components/bookings/utils.py | wilsonc86/ledger | a60a681e547f37e4ac81cb93dffaf90aea8c8151 | [
"Apache-2.0"
] | null | null | null | commercialoperator/components/bookings/utils.py | wilsonc86/ledger | a60a681e547f37e4ac81cb93dffaf90aea8c8151 | [
"Apache-2.0"
] | null | null | null | from django.http import HttpResponseRedirect
from django.core.urlresolvers import reverse
from django.conf import settings
from django.core.exceptions import ValidationError
from datetime import datetime, timedelta
from commercialoperator.components.main.models import Park
from commercialoperator.components.proposals.... | 40.090909 | 175 | 0.675057 | 1,098 | 8,820 | 5.176685 | 0.1949 | 0.027094 | 0.030084 | 0.039585 | 0.427692 | 0.378958 | 0.333216 | 0.32266 | 0.284835 | 0.262139 | 0 | 0.008164 | 0.222336 | 8,820 | 219 | 176 | 40.273973 | 0.820528 | 0.218367 | 0 | 0.228571 | 0 | 0 | 0.114567 | 0.006454 | 0 | 0 | 0 | 0 | 0 | 1 | 0.085714 | false | 0 | 0.1 | 0 | 0.242857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd3ebb35376a9ad6bb35907b043a70f74ff3d06d | 2,488 | py | Python | driver.py | Nobregaigor/Robot-path-tracking-and-obstacle-avoidance-simulation | 23ab060316c5978724b3f109d851ea33206d0e10 | [
"MIT"
] | 6 | 2020-05-01T23:33:13.000Z | 2021-12-18T08:13:50.000Z | driver.py | Nobregaigor/Robot-path-tracking-and-obstacle-avoidance-simulation--Python | 23ab060316c5978724b3f109d851ea33206d0e10 | [
"MIT"
] | null | null | null | driver.py | Nobregaigor/Robot-path-tracking-and-obstacle-avoidance-simulation--Python | 23ab060316c5978724b3f109d851ea33206d0e10 | [
"MIT"
] | 2 | 2020-05-06T11:54:10.000Z | 2020-07-30T01:58:06.000Z | import pygame
import math
import path_planning as pp
class Driver():
def __init__(self, vehicle, path, settings):
""" Driver """
#_______main objects references_______
#reference to driver vehicle object:
self.vehicle = vehicle
#creating a plan object:
self.plan = p... | 35.542857 | 123 | 0.63545 | 286 | 2,488 | 5.129371 | 0.293706 | 0.04499 | 0.057941 | 0.051806 | 0.132243 | 0.109066 | 0.06544 | 0.06544 | 0 | 0 | 0 | 0 | 0.268489 | 2,488 | 69 | 124 | 36.057971 | 0.806044 | 0.17283 | 0 | 0.069767 | 0 | 0 | 0.066532 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.116279 | false | 0 | 0.069767 | 0 | 0.325581 | 0.023256 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd423af6c5271daa0eac7f6a8ca5e2cf87ffc2fe | 2,752 | py | Python | test/test_api_v1_module.py | feizhihui/deepnlp | cc6647d65ec39aadd35e4a4748da92df5b79bd48 | [
"MIT"
] | null | null | null | test/test_api_v1_module.py | feizhihui/deepnlp | cc6647d65ec39aadd35e4a4748da92df5b79bd48 | [
"MIT"
] | null | null | null | test/test_api_v1_module.py | feizhihui/deepnlp | cc6647d65ec39aadd35e4a4748da92df5b79bd48 | [
"MIT"
] | 1 | 2019-05-13T14:24:15.000Z | 2019-05-13T14:24:15.000Z | #coding:utf-8
'''
Demo for calling API of deepnlp.org web service
Anonymous user of this package have limited access on the number of API calling 100/day
Please Register and Login Your Account to deepnlp.org to get unlimited access to fully support
api_service API module, now supports both windows and linux platforms.
... | 38.222222 | 133 | 0.682776 | 418 | 2,752 | 4.370813 | 0.284689 | 0.021894 | 0.043788 | 0.035577 | 0.314176 | 0.296661 | 0.181719 | 0.059113 | 0.059113 | 0 | 0 | 0.014169 | 0.153706 | 2,752 | 71 | 134 | 38.760563 | 0.770288 | 0.306323 | 0 | 0.255319 | 0 | 0 | 0.211896 | 0 | 0.085106 | 0 | 0 | 0 | 0 | 1 | 0.021277 | false | 0 | 0.106383 | 0 | 0.148936 | 0.255319 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd46541bba89d45678808a7b911ed3c9f61dd510 | 4,245 | py | Python | utils/dataset_utils.py | dpaiton/DeepSparseCoding | 5ea01fa8770794df5e13743aa3f2d85297c27eb1 | [
"MIT"
] | 12 | 2017-04-27T17:19:31.000Z | 2021-11-07T03:37:59.000Z | utils/dataset_utils.py | dpaiton/DeepSparseCoding | 5ea01fa8770794df5e13743aa3f2d85297c27eb1 | [
"MIT"
] | 12 | 2018-03-21T01:16:25.000Z | 2022-02-10T00:21:58.000Z | utils/dataset_utils.py | dpaiton/DeepSparseCoding | 5ea01fa8770794df5e13743aa3f2d85297c27eb1 | [
"MIT"
] | 12 | 2017-02-01T19:49:57.000Z | 2021-12-08T03:16:58.000Z | import os
import sys
import numpy as np
import torch
from torchvision import datasets, transforms
ROOT_DIR = os.path.dirname(os.getcwd())
if ROOT_DIR not in sys.path: sys.path.append(ROOT_DIR)
import DeepSparseCoding.utils.data_processing as dp
import DeepSparseCoding.datasets.synthetic as synthetic
class CustomTe... | 42.878788 | 107 | 0.660306 | 518 | 4,245 | 5.169884 | 0.239382 | 0.033607 | 0.026139 | 0.034354 | 0.446229 | 0.43652 | 0.373413 | 0.348021 | 0.309186 | 0.309186 | 0 | 0.009786 | 0.229682 | 4,245 | 98 | 108 | 43.316327 | 0.809174 | 0.00636 | 0 | 0.280899 | 0 | 0 | 0.092527 | 0.020166 | 0 | 0 | 0 | 0 | 0.011236 | 1 | 0.044944 | false | 0 | 0.089888 | 0.022472 | 0.179775 | 0.022472 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd485ea8847607e1b8262b17b33a7d95c7b05c48 | 2,327 | py | Python | src/empirical_study.py | arshajithwolverine/Recommentation-System_KGNN-LS | 82ad10633a56794bbc38dc7e6c40a3636c7d570a | [
"MIT"
] | 133 | 2019-06-20T08:38:04.000Z | 2022-03-30T07:57:14.000Z | src/empirical_study.py | piaofu110/KGNN-LS | 3afd76361b623e9e38b822861c79bcd61dae41aa | [
"MIT"
] | 10 | 2019-07-06T12:53:01.000Z | 2021-11-10T12:58:50.000Z | src/empirical_study.py | piaofu110/KGNN-LS | 3afd76361b623e9e38b822861c79bcd61dae41aa | [
"MIT"
] | 40 | 2019-08-07T06:02:31.000Z | 2022-01-05T15:19:29.000Z | import networkx as nx
import numpy as np
import argparse
if __name__ == '__main__':
np.random.seed(555)
NUM = 10000
parser = argparse.ArgumentParser()
parser.add_argument('-d', type=str, default='music')
args = parser.parse_args()
DATASET = args.d
kg_np = np.load('../data/' + DATASET + '... | 36.359375 | 104 | 0.621401 | 333 | 2,327 | 3.966967 | 0.231231 | 0.183195 | 0.099924 | 0.059046 | 0.558668 | 0.460257 | 0.440575 | 0.3838 | 0.3838 | 0.348221 | 0 | 0.023367 | 0.282768 | 2,327 | 63 | 105 | 36.936508 | 0.768125 | 0.010743 | 0 | 0.181818 | 0 | 0 | 0.033913 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.054545 | 0 | 0.054545 | 0.072727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd4d5dd7883050a254679a4b1f93de18a8465561 | 1,179 | py | Python | datacamp-master/22-introduction-to-time-series-analysis-in-python/04-moving-average-ma-and-arma-models/08-equivalance-of-ar(1)-and-ma(infinity).py | vitthal10/datacamp | 522d2b192656f7f6563bf6fc33471b048f1cf029 | [
"MIT"
] | 1 | 2020-06-11T01:32:36.000Z | 2020-06-11T01:32:36.000Z | 22-introduction-to-time-series-analysis-in-python/04-moving-average-ma-and-arma-models/08-equivalance-of-ar(1)-and-ma(infinity).py | AndreasFerox/DataCamp | 41525d7252f574111f4929158da1498ee1e73a84 | [
"MIT"
] | null | null | null | 22-introduction-to-time-series-analysis-in-python/04-moving-average-ma-and-arma-models/08-equivalance-of-ar(1)-and-ma(infinity).py | AndreasFerox/DataCamp | 41525d7252f574111f4929158da1498ee1e73a84 | [
"MIT"
] | 1 | 2021-08-08T05:09:52.000Z | 2021-08-08T05:09:52.000Z | '''
Equivalence of AR(1) and MA(infinity)
To better understand the relationship between MA models and AR models, you will demonstrate that an AR(1) model is equivalent to an MA(∞
∞
) model with the appropriate parameters.
You will simulate an MA model with parameters 0.8,0.82,0.83,…
0.8
,
0.8
2
,
0.8
3
,
…
for a lar... | 19.983051 | 136 | 0.74894 | 220 | 1,179 | 4.040909 | 0.386364 | 0.024747 | 0.013498 | 0.022497 | 0.195726 | 0.195726 | 0.195726 | 0.170979 | 0.170979 | 0.146232 | 0 | 0.066124 | 0.166243 | 1,179 | 59 | 137 | 19.983051 | 0.824008 | 0.735369 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd4e4c3a86cc4a31b024c46ddddde1fa3e66e93b | 3,752 | py | Python | imutils.py | shimoda-uec/ssdd | 564c3e08fae7a158516cdbd9f3599a74dc748aff | [
"MIT"
] | 33 | 2019-11-05T07:15:36.000Z | 2021-04-27T06:33:47.000Z | imutils.py | shimoda-uec/ssdd | 564c3e08fae7a158516cdbd9f3599a74dc748aff | [
"MIT"
] | 1 | 2019-11-18T13:02:40.000Z | 2019-11-18T13:02:54.000Z | imutils.py | shimoda-uec/ssdd | 564c3e08fae7a158516cdbd9f3599a74dc748aff | [
"MIT"
] | 3 | 2019-11-25T11:00:39.000Z | 2021-03-27T06:53:21.000Z | import PIL.Image
import random
import numpy as np
import cv2
class RandomHorizontalFlip():
def __init__(self):
return
def __call__(self, inputs):
if bool(random.getrandbits(1)):
outputs=[]
for inp in inputs:
out = np.fliplr(inp).copy()
ou... | 32.068376 | 91 | 0.567697 | 502 | 3,752 | 4.035857 | 0.231076 | 0.047384 | 0.027147 | 0.033564 | 0.201382 | 0.158934 | 0.096742 | 0.096742 | 0.096742 | 0.061204 | 0 | 0.033487 | 0.307569 | 3,752 | 117 | 92 | 32.068376 | 0.746343 | 0.003998 | 0 | 0.265306 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.122449 | false | 0 | 0.061224 | 0.020408 | 0.326531 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd503144da89b34c7f7e0c6f7d30f63249106454 | 398 | py | Python | dfmt/svg/run.py | wangrl2016/coding | fd6cd342cade42379c4a0447d83e17c6596fd3a3 | [
"MIT"
] | 4 | 2021-02-20T03:47:48.000Z | 2021-11-09T17:25:43.000Z | dfmt/svg/run.py | wangrl2016/coding | fd6cd342cade42379c4a0447d83e17c6596fd3a3 | [
"MIT"
] | null | null | null | dfmt/svg/run.py | wangrl2016/coding | fd6cd342cade42379c4a0447d83e17c6596fd3a3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import os
import subprocess
if __name__ == '__main__':
out_dir = 'out'
if not os.path.exists(out_dir):
os.mkdir(out_dir)
subprocess.run(['cargo', 'build', '--release'])
exe = 'target/release/svg'
subprocess.run([exe, '-i', 'test/simple-text.svg', '-o', 'out/simple-t... | 26.533333 | 93 | 0.585427 | 54 | 398 | 4.111111 | 0.574074 | 0.081081 | 0.117117 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003165 | 0.20603 | 398 | 14 | 94 | 28.428571 | 0.699367 | 0.052764 | 0 | 0 | 0 | 0 | 0.335106 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd5534b9b393b4ca6ad72c44a3438fcc6e74b3d0 | 2,501 | py | Python | socketshark/utils.py | Play2Live/socketshark | 9b1e40654bf629c593079fb44c548911d4c864af | [
"MIT"
] | null | null | null | socketshark/utils.py | Play2Live/socketshark | 9b1e40654bf629c593079fb44c548911d4c864af | [
"MIT"
] | null | null | null | socketshark/utils.py | Play2Live/socketshark | 9b1e40654bf629c593079fb44c548911d4c864af | [
"MIT"
] | null | null | null | import asyncio
import ssl
import aiohttp
from . import constants as c
def _get_rate_limit_wait(log, resp, opts):
"""
Returns the number of seconds we should wait given a 429 HTTP response and
HTTP options.
"""
max_wait = 3600
wait = opts['wait']
header_name = opts['rate_limit_reset_he... | 35.225352 | 78 | 0.551779 | 290 | 2,501 | 4.596552 | 0.351724 | 0.060015 | 0.027007 | 0.042761 | 0.150038 | 0.150038 | 0.127532 | 0.087022 | 0.087022 | 0.087022 | 0 | 0.007524 | 0.362255 | 2,501 | 70 | 79 | 35.728571 | 0.828213 | 0.067173 | 0 | 0.232143 | 0 | 0 | 0.104671 | 0.012111 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017857 | false | 0 | 0.071429 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd597b04327e251c7079f983fdc1e98e38cf4a8a | 4,324 | py | Python | cogs/member_.py | himo1101/NFlegel | 7621f5d71b41b71faaf44d142f3b903b0471873a | [
"MIT"
] | null | null | null | cogs/member_.py | himo1101/NFlegel | 7621f5d71b41b71faaf44d142f3b903b0471873a | [
"MIT"
] | null | null | null | cogs/member_.py | himo1101/NFlegel | 7621f5d71b41b71faaf44d142f3b903b0471873a | [
"MIT"
] | null | null | null | from discord.ext import commands
from flegelapi.pg import default, server
from distutils.util import strtobool
import discord
member_table= """ member_(
id serial PRIMARY KEY,
server_id interger NOT NULL,
role_ld interger,
channel_id interger,
custom_mes character varying DEFAULT が入出しました。,
on_o... | 32.757576 | 102 | 0.56568 | 503 | 4,324 | 4.713718 | 0.250497 | 0.033741 | 0.053142 | 0.042176 | 0.332349 | 0.250527 | 0.22016 | 0.22016 | 0.204133 | 0.140025 | 0 | 0 | 0.315911 | 4,324 | 132 | 103 | 32.757576 | 0.801555 | 0 | 0 | 0.131313 | 0 | 0 | 0.178955 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020202 | false | 0 | 0.040404 | 0 | 0.121212 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd5a19f0cbafdf639c273ea9eebb620d7cbc509e | 7,720 | py | Python | client.py | andreidorin13/cs544-messaging-protocol | 40d26cb20234a4ad58095150795946aceaf9e4d4 | [
"MIT"
] | null | null | null | client.py | andreidorin13/cs544-messaging-protocol | 40d26cb20234a4ad58095150795946aceaf9e4d4 | [
"MIT"
] | null | null | null | client.py | andreidorin13/cs544-messaging-protocol | 40d26cb20234a4ad58095150795946aceaf9e4d4 | [
"MIT"
] | null | null | null | #!/usr/bin/python
'''
Andrei Dorin
06/10/2018
User interface for WISP chat implementation
'''
import argparse
import logging
import signal
import sys
import time
import queue
import select
import getpass
from wisp_client import WispClient
from wisp_common import State, WispRequest, WispResponse, WispMessage, WISP_DEF... | 32.166667 | 116 | 0.584197 | 904 | 7,720 | 4.850664 | 0.280973 | 0.032611 | 0.022349 | 0.041049 | 0.191106 | 0.119498 | 0.086203 | 0.073432 | 0.036488 | 0.036488 | 0 | 0.022127 | 0.303368 | 7,720 | 239 | 117 | 32.301255 | 0.793232 | 0.137953 | 0 | 0.236025 | 0 | 0.006211 | 0.135728 | 0.017724 | 0 | 0 | 0 | 0 | 0 | 1 | 0.10559 | false | 0.043478 | 0.062112 | 0 | 0.217391 | 0.093168 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd5e1e26e39c56d3ae62b8fd2032ab324293acc8 | 526 | py | Python | lib/redis_set_get.py | InformaticsResearchCenter/ITeung | 2e3f76294c3affca07934293cdeb46d6d618180a | [
"MIT"
] | null | null | null | lib/redis_set_get.py | InformaticsResearchCenter/ITeung | 2e3f76294c3affca07934293cdeb46d6d618180a | [
"MIT"
] | 37 | 2020-03-22T23:21:14.000Z | 2020-09-16T15:07:06.000Z | lib/redis_set_get.py | InformaticsResearchCenter/ITeung | 2e3f76294c3affca07934293cdeb46d6d618180a | [
"MIT"
] | 1 | 2020-09-08T11:31:30.000Z | 2020-09-08T11:31:30.000Z | import redis
def set(key, value, expired):
#use None if don't want to use expired time
try:
r = redis.Redis()
r.set(name=key, value=value, ex=expired)
return True, None
except Exception as e:
return False, f'{e}'
def get(key):
#key to get value
r = redis.Redis()
... | 21.04 | 48 | 0.579848 | 78 | 526 | 3.910256 | 0.461538 | 0.059016 | 0.072131 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002786 | 0.31749 | 526 | 25 | 49 | 21.04 | 0.846797 | 0.110266 | 0 | 0.2 | 0 | 0 | 0.017131 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.05 | 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 |
cd5e82adedde50cba3e364b3ccb25d0a6e80401a | 18,185 | py | Python | FTDISPI.py | g-i-wilson/spi-tools | 1c961a97572a366235f9f3b0517d8201fa8be371 | [
"MIT"
] | 1 | 2022-03-22T20:44:01.000Z | 2022-03-22T20:44:01.000Z | FTDISPI.py | g-i-wilson/spi-tools | 1c961a97572a366235f9f3b0517d8201fa8be371 | [
"MIT"
] | null | null | null | FTDISPI.py | g-i-wilson/spi-tools | 1c961a97572a366235f9f3b0517d8201fa8be371 | [
"MIT"
] | null | null | null | from pyftdi.spi import SpiController
from pyftdi.gpio import GpioSyncController
import serial
import time
import sys
import JSONFile
dbg = False
def createByteList(addrList, dataList):
newBytes = []
for byte in addrList:
newBytes.append(byte)
for byte in dataList:
newBytes.append(byte)
... | 36.081349 | 144 | 0.534451 | 1,987 | 18,185 | 4.851535 | 0.151988 | 0.03112 | 0.006846 | 0.012552 | 0.302282 | 0.21888 | 0.178942 | 0.145124 | 0.129979 | 0.122925 | 0 | 0.017353 | 0.334506 | 18,185 | 503 | 145 | 36.153082 | 0.77921 | 0.049711 | 0 | 0.270023 | 0 | 0.002288 | 0.084813 | 0 | 0 | 0 | 0.003713 | 0 | 0 | 1 | 0.105263 | false | 0.011442 | 0.01373 | 0.011442 | 0.187643 | 0.155606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd63c34fbdfbd183f707a4b54997655b51643809 | 3,417 | py | Python | src/onegov/gazette/views/groups.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/gazette/views/groups.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/gazette/views/groups.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from morepath import redirect
from onegov.core.security import Private
from onegov.gazette import _
from onegov.gazette import GazetteApp
from onegov.gazette.forms import EmptyForm
from onegov.gazette.layout import Layout
from onegov.user import UserGroup
from onegov.user import UserGroupCollection
from onegov.user.for... | 23.244898 | 66 | 0.605502 | 375 | 3,417 | 5.421333 | 0.237333 | 0.054107 | 0.053123 | 0.064929 | 0.432366 | 0.418593 | 0.364978 | 0.343827 | 0.205116 | 0.205116 | 0 | 0 | 0.272169 | 3,417 | 146 | 67 | 23.40411 | 0.817451 | 0.073164 | 0 | 0.457143 | 0 | 0 | 0.15893 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038095 | false | 0 | 0.085714 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd64ffc5e28a3c1d060e7cdf2e73c1f3c1f202dd | 1,466 | py | Python | personal_utilities/fourier_filters.py | dbstein/personal_utilities | 3a4c7d2416b13a87f88fc0e400b299d648e1e541 | [
"Apache-2.0"
] | null | null | null | personal_utilities/fourier_filters.py | dbstein/personal_utilities | 3a4c7d2416b13a87f88fc0e400b299d648e1e541 | [
"Apache-2.0"
] | null | null | null | personal_utilities/fourier_filters.py | dbstein/personal_utilities | 3a4c7d2416b13a87f88fc0e400b299d648e1e541 | [
"Apache-2.0"
] | null | null | null | import numpy as np
class SimpleFourierFilter(object):
"""
Class to apply simple Fourier Filtration to a vector
Filter types:
'fraction' (requires kwarg: 'fraction' to be set)
'rule 36' (can set kwarg: 'power' but not necessary)
"""
def __init__(self, modes, filter_type, **kwargs):... | 34.093023 | 78 | 0.563438 | 188 | 1,466 | 4.234043 | 0.345745 | 0.08794 | 0.045226 | 0.070352 | 0.09799 | 0.09799 | 0.052764 | 0 | 0 | 0 | 0 | 0.016882 | 0.313097 | 1,466 | 42 | 79 | 34.904762 | 0.773585 | 0.122101 | 0 | 0.129032 | 0 | 0 | 0.065287 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0.032258 | 0 | 0.193548 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd682359aededb5fca5a5b75e857cce2e964a4f3 | 1,385 | py | Python | Final/P2Pchat.py | cainanBlack/csc321 | 9cebf9c3b61befda932732316b7406f1462c0bee | [
"MIT"
] | null | null | null | Final/P2Pchat.py | cainanBlack/csc321 | 9cebf9c3b61befda932732316b7406f1462c0bee | [
"MIT"
] | null | null | null | Final/P2Pchat.py | cainanBlack/csc321 | 9cebf9c3b61befda932732316b7406f1462c0bee | [
"MIT"
] | null | null | null | import netifaces
import argparse
import os
import zmq
import threading
def recieve(message):
ctx = zmq.Context.instance()
reciever = ctx.socket(zmq.SUB)
for last in range(1, 255):
reciever.connect("tcp://{0}.{1}:9000".format(message, last))
reciever.setsockopt(zmq.SUBSCRIBE, b'')
while T... | 26.634615 | 102 | 0.626715 | 167 | 1,385 | 5.095808 | 0.502994 | 0.045828 | 0.030552 | 0.049354 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020427 | 0.222383 | 1,385 | 51 | 103 | 27.156863 | 0.769731 | 0 | 0 | 0.2 | 0 | 0 | 0.096029 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05 | false | 0 | 0.125 | 0 | 0.175 | 0.05 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd68c200c93d96ecc3b7ad0ac3280311cd7d42ce | 1,822 | py | Python | src/playerprofile.py | MarinVlaic/AIBG | cf4960586bdb3c32f8e566c10f9f1e59e6f9ac2d | [
"MIT"
] | null | null | null | src/playerprofile.py | MarinVlaic/AIBG | cf4960586bdb3c32f8e566c10f9f1e59e6f9ac2d | [
"MIT"
] | null | null | null | src/playerprofile.py | MarinVlaic/AIBG | cf4960586bdb3c32f8e566c10f9f1e59e6f9ac2d | [
"MIT"
] | null | null | null | class PlayerProfile:
def __init__(self, id):
self.cities = []
self.resources = {
"SHEEP": 0,
"WOOD": 0,
"WHEAT": 0,
"CLAY": 0,
"IRON": 0
}
self.current_builder_intersection_position_id = None
self.id = id
sel... | 35.038462 | 110 | 0.593853 | 210 | 1,822 | 4.928571 | 0.290476 | 0.028986 | 0.067633 | 0.115942 | 0.202899 | 0.202899 | 0.125604 | 0.125604 | 0.125604 | 0 | 0 | 0.01045 | 0.317234 | 1,822 | 51 | 111 | 35.72549 | 0.821543 | 0 | 0 | 0.133333 | 0 | 0 | 0.017014 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.155556 | false | 0 | 0 | 0.022222 | 0.355556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd6940cd949b8d012c79a302492e17dd59770ba1 | 2,267 | py | Python | source/CTRW.py | tangxiangong/ClassTop | fdafdafd165672ae464210fb8c66c70256d50956 | [
"MIT"
] | null | null | null | source/CTRW.py | tangxiangong/ClassTop | fdafdafd165672ae464210fb8c66c70256d50956 | [
"MIT"
] | null | null | null | source/CTRW.py | tangxiangong/ClassTop | fdafdafd165672ae464210fb8c66c70256d50956 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
# @Time : 2021/12/1 13:27
import numpy as np
from numpy import random
import matplotlib.pyplot as plt
from trajectory import Trajectory
from rnd import stable_rnd, skewed_stable_rnd
class CTRW(Trajectory):
def __init__(self, t_len, ind_waiting, ind_jump, init_positi... | 27.313253 | 70 | 0.549625 | 317 | 2,267 | 3.719243 | 0.309148 | 0.042409 | 0.050891 | 0.061069 | 0.184902 | 0.184902 | 0.154368 | 0.154368 | 0 | 0 | 0 | 0.054106 | 0.307014 | 2,267 | 82 | 71 | 27.646341 | 0.696372 | 0.029996 | 0 | 0.171429 | 0 | 0 | 0.052823 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042857 | false | 0 | 0.071429 | 0 | 0.128571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd6b1d33d27551aa6e7a920f48a0b7633b6280b3 | 3,931 | py | Python | Paris_G_1-2-3_v2.py | Gaspe-R/Rendez-vous-prefecture-Paris | e24d1bf0ae6ca5860ad858957c5e923c0ac3d85a | [
"MIT"
] | null | null | null | Paris_G_1-2-3_v2.py | Gaspe-R/Rendez-vous-prefecture-Paris | e24d1bf0ae6ca5860ad858957c5e923c0ac3d85a | [
"MIT"
] | null | null | null | Paris_G_1-2-3_v2.py | Gaspe-R/Rendez-vous-prefecture-Paris | e24d1bf0ae6ca5860ad858957c5e923c0ac3d85a | [
"MIT"
] | null | null | null | from sqlite3 import Date
from twilio.rest import Client
from datetime import datetime
from playsound import playsound
from selenium import webdriver
from webdriver_manager.chrome import ChromeDriverManager
import csv
import time
################################ "PREFCTURE DE PARIS" ###########################... | 36.738318 | 126 | 0.522768 | 419 | 3,931 | 4.832936 | 0.398568 | 0.04 | 0.053333 | 0.059259 | 0.319506 | 0.30716 | 0.278025 | 0.232099 | 0.171852 | 0.090864 | 0 | 0.012231 | 0.313661 | 3,931 | 106 | 127 | 37.084906 | 0.738325 | 0.155177 | 0 | 0.295082 | 0 | 0 | 0.191754 | 0.063011 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.131148 | 0 | 0.131148 | 0.098361 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd6e8efff351684ee42b6f8c78aec9644cacd755 | 8,661 | py | Python | acme_tiny.py | dennydai/docker-letsencrypt | 898fa70665d321e527c7fcc463a57a66dbbdab26 | [
"MIT"
] | 22 | 2015-12-06T06:19:43.000Z | 2016-03-10T06:44:34.000Z | acme_tiny.py | dennydai/docker-letsencrypt | 898fa70665d321e527c7fcc463a57a66dbbdab26 | [
"MIT"
] | 1 | 2016-09-11T07:38:45.000Z | 2016-09-11T10:50:26.000Z | acme_tiny.py | dennydai/docker-letsencrypt | 898fa70665d321e527c7fcc463a57a66dbbdab26 | [
"MIT"
] | 4 | 2015-12-22T01:25:16.000Z | 2016-01-14T13:24:27.000Z | #!/usr/bin/env python
import argparse, subprocess, json, os, os.path, urllib2, sys, base64, binascii, time, \
hashlib, re, copy, textwrap
#CA = "https://acme-staging.api.letsencrypt.org"
CA = "https://acme-v01.api.letsencrypt.org"
def get_crt(account_key, csr, acme_dir):
# helper function base64 encode for j... | 43.522613 | 221 | 0.592772 | 1,041 | 8,661 | 4.837656 | 0.300672 | 0.023828 | 0.03058 | 0.020651 | 0.226966 | 0.185068 | 0.159253 | 0.132645 | 0.111199 | 0.091739 | 0 | 0.023455 | 0.246854 | 8,661 | 198 | 222 | 43.742424 | 0.748582 | 0.051149 | 0 | 0.189024 | 0 | 0.02439 | 0.28197 | 0.035841 | 0 | 0 | 0 | 0 | 0.012195 | 1 | 0.018293 | false | 0.006098 | 0.006098 | 0.006098 | 0.04878 | 0.012195 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd6f2ad698e4fc98b32ec95e10035f7d48a91c97 | 3,667 | py | Python | esb/Tags.py | sgbalogh/esb.py | 06e8f86b94d5dadc628a0fbd396212649328864d | [
"MIT"
] | null | null | null | esb/Tags.py | sgbalogh/esb.py | 06e8f86b94d5dadc628a0fbd396212649328864d | [
"MIT"
] | null | null | null | esb/Tags.py | sgbalogh/esb.py | 06e8f86b94d5dadc628a0fbd396212649328864d | [
"MIT"
] | null | null | null |
class Tags:
class Thematic:
ACC_NOTE = "account:note"
DELIMITER = "delimiter:thematic"
FAM_SIBLINGS = "fam:siblings"
FAM_CHILDREN = "fam:children"
FAM_PARENTS = "fam:parents"
FAM_SPOUSE = "fam:spouse"
META_NO_REMARK = "meta:no-remarks"
META_PARENT... | 35.95098 | 77 | 0.642214 | 464 | 3,667 | 4.747845 | 0.211207 | 0.066727 | 0.020427 | 0.010894 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.251432 | 3,667 | 101 | 78 | 36.306931 | 0.80255 | 0 | 0 | 0.02381 | 0 | 0 | 0.360884 | 0.099018 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0.035714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd7529c73cff8550931b72e595537b4c1b291bee | 1,940 | py | Python | scripts/stats_wrapper.py | gpertea/regtools | a59d5dbd3268b0d83412e6fe81cf7e924c7bcb7c | [
"MIT"
] | 70 | 2015-08-05T21:32:51.000Z | 2021-11-26T13:26:33.000Z | scripts/stats_wrapper.py | gpertea/regtools | a59d5dbd3268b0d83412e6fe81cf7e924c7bcb7c | [
"MIT"
] | 145 | 2015-08-05T22:27:58.000Z | 2022-03-14T21:50:17.000Z | scripts/stats_wrapper.py | gpertea/regtools | a59d5dbd3268b0d83412e6fe81cf7e924c7bcb7c | [
"MIT"
] | 29 | 2015-08-01T02:19:40.000Z | 2021-12-16T20:02:40.000Z | import glob
import subprocess
import os
import argparse
import shutil
input_parser = argparse.ArgumentParser(
description="Run RegTools stats script",
)
input_parser.add_argument(
'tag',
help="Variant tag parameter used to run RegTools.",
)
args = input_parser.parse_args()
tag = args.tag
cwd = os.getcwd(... | 33.448276 | 107 | 0.676804 | 266 | 1,940 | 4.766917 | 0.451128 | 0.037855 | 0.028391 | 0.028391 | 0.0347 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005316 | 0.224227 | 1,940 | 57 | 108 | 34.035088 | 0.837209 | 0.094845 | 0 | 0.16 | 0 | 0 | 0.215877 | 0.061108 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.12 | 0 | 0.12 | 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 |
cd7892510c7f345ccc184879db2d6bb6e417c44a | 451 | py | Python | lib/model/utils/plt_loss.py | PhoneSix/Domain-Contrast | 5c674b581bce9beacf5bc0dd13113f33c4050495 | [
"MIT"
] | 4 | 2021-07-31T01:04:15.000Z | 2022-03-09T07:23:10.000Z | lib/model/utils/plt_loss.py | PhoneSix/Domain-Contrast | 5c674b581bce9beacf5bc0dd13113f33c4050495 | [
"MIT"
] | null | null | null | lib/model/utils/plt_loss.py | PhoneSix/Domain-Contrast | 5c674b581bce9beacf5bc0dd13113f33c4050495 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import os
def plt_loss(epoch, dir_, name, value):
if not os.path.exists(dir_):
os.makedirs(dir_)
axis = np.linspace(1,epoch,epoch)
label = '{}'.format(name)
fig = plt.figure()
plt.title(label)
plt.plot(axis, value)
# plt.legend()
... | 25.055556 | 47 | 0.62306 | 66 | 451 | 4.181818 | 0.560606 | 0.050725 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002809 | 0.210643 | 451 | 18 | 48 | 25.055556 | 0.772472 | 0.026608 | 0 | 0 | 0 | 0 | 0.048387 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd79597c4dc624f2537254fe68c7bb39e5b6003c | 2,549 | py | Python | apps/insar.py | giswqs/streamlit-insar | e2c0897f01aeff96cd119cce8cf6dd3d8fb0e455 | [
"MIT"
] | 5 | 2021-12-14T23:28:36.000Z | 2022-02-27T14:35:29.000Z | apps/insar.py | giswqs/streamlit-insar | e2c0897f01aeff96cd119cce8cf6dd3d8fb0e455 | [
"MIT"
] | null | null | null | apps/insar.py | giswqs/streamlit-insar | e2c0897f01aeff96cd119cce8cf6dd3d8fb0e455 | [
"MIT"
] | null | null | null | import folium
import altair as alt
import leafmap.foliumap as leafmap
import pandas as pd
import streamlit as st
def app():
st.title("InSAR")
option = st.radio("Choose an option", ("Marker Cluster", "Circle Marker"))
m = leafmap.Map(
center=[29.7029, -95.3335], latlon_control=False, zoom=16, he... | 25.747475 | 85 | 0.433503 | 266 | 2,549 | 3.996241 | 0.402256 | 0.019755 | 0.035748 | 0.020696 | 0.135466 | 0.107244 | 0.079022 | 0.079022 | 0.079022 | 0.079022 | 0 | 0.027913 | 0.437819 | 2,549 | 98 | 86 | 26.010204 | 0.713887 | 0 | 0 | 0.168675 | 0 | 0 | 0.095332 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.012048 | false | 0 | 0.060241 | 0 | 0.072289 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd7a330fb695d24e5d3e2270fbbe2e1e0d11d2dc | 2,105 | py | Python | solve_net.py | a1exwang/theano-cnn-intro | 5f6ecdcb2908afb34a7d94e69b1d1ab13beb3c62 | [
"MIT"
] | null | null | null | solve_net.py | a1exwang/theano-cnn-intro | 5f6ecdcb2908afb34a7d94e69b1d1ab13beb3c62 | [
"MIT"
] | null | null | null | solve_net.py | a1exwang/theano-cnn-intro | 5f6ecdcb2908afb34a7d94e69b1d1ab13beb3c62 | [
"MIT"
] | null | null | null | from utils import LOG_INFO
import numpy as np
def data_iterator(x, y, batch_size, shuffle=True):
indx = range(len(x))
if shuffle:
np.random.shuffle(indx)
for start_idx in range(0, len(x), batch_size):
end_idx = min(start_idx + batch_size, len(x))
yield x[start_idx: end_idx], y[sta... | 39.716981 | 116 | 0.443705 | 231 | 2,105 | 3.774892 | 0.251082 | 0.061927 | 0.045872 | 0.038991 | 0.144495 | 0.116972 | 0.073395 | 0.073395 | 0.073395 | 0 | 0 | 0.009821 | 0.467933 | 2,105 | 52 | 117 | 40.480769 | 0.76875 | 0 | 0 | 0.238095 | 0 | 0 | 0.061283 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.047619 | 0 | 0.095238 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd7b0a77a1f93e1e0546019ec5051874f1e448ee | 1,199 | py | Python | playground/test1.py | mathee92/unirentalz | 803c58628ebda002e2c127db11fbaddf181ef394 | [
"MIT"
] | null | null | null | playground/test1.py | mathee92/unirentalz | 803c58628ebda002e2c127db11fbaddf181ef394 | [
"MIT"
] | null | null | null | playground/test1.py | mathee92/unirentalz | 803c58628ebda002e2c127db11fbaddf181ef394 | [
"MIT"
] | null | null | null | # -----------
# User Instructions
#
# Modify the valid_month() function to verify
# whether the data a user enters is a valid
# month. If the passed in parameter 'month'
# is not a valid month, return None.
# If 'month' is a valid month, then return
# the name of the month with the first letter
# capitalized.
#
... | 18.734375 | 46 | 0.539616 | 155 | 1,199 | 4.135484 | 0.451613 | 0.078003 | 0.051482 | 0.040562 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015796 | 0.313595 | 1,199 | 63 | 47 | 19.031746 | 0.763062 | 0.247706 | 0 | 0 | 0 | 0 | 0.110485 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.05 | 0.025 | 0.325 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd7da929a4d4176f292520c09ac6f877772c0b49 | 2,274 | py | Python | hookio/logs.py | Marak/hook.io-sdk-python | 722b04eb0832ef712d5dcd491899996088e1aa8b | [
"Unlicense"
] | 1 | 2021-06-15T11:52:44.000Z | 2021-06-15T11:52:44.000Z | hookio/logs.py | Marak/hook.io-sdk-python | 722b04eb0832ef712d5dcd491899996088e1aa8b | [
"Unlicense"
] | null | null | null | hookio/logs.py | Marak/hook.io-sdk-python | 722b04eb0832ef712d5dcd491899996088e1aa8b | [
"Unlicense"
] | null | null | null | import sys
import weakref
import json
import logging
from .utils import opt_json, Response2JSONLinesIterator
from six import StringIO
log = logging.getLogger(__name__)
class Logs:
def __init__(self, client):
self.client = weakref.proxy(client)
def read(self, url, raw=False, raw_data=True, **opts):
... | 35.53125 | 87 | 0.575638 | 282 | 2,274 | 4.535461 | 0.294326 | 0.05473 | 0.02502 | 0.04222 | 0.137608 | 0.137608 | 0.137608 | 0.137608 | 0.059421 | 0.059421 | 0 | 0.001254 | 0.298593 | 2,274 | 63 | 88 | 36.095238 | 0.800627 | 0 | 0 | 0.074074 | 0 | 0 | 0.118294 | 0 | 0 | 0 | 0 | 0 | 0.037037 | 1 | 0.12963 | false | 0 | 0.111111 | 0 | 0.37037 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd7f21d270d7885499684e88d3eb5ad2fac11de9 | 6,376 | py | Python | alberto/annotation/train.py | lettomobile/DeepPoseKit | a922d2d99cd55d0a3909c1f3f8b2bf8c377ff503 | [
"Apache-2.0"
] | 1 | 2021-11-01T02:08:00.000Z | 2021-11-01T02:08:00.000Z | alberto/annotation/train.py | albertoursino/DeepPoseKit | a922d2d99cd55d0a3909c1f3f8b2bf8c377ff503 | [
"Apache-2.0"
] | null | null | null | alberto/annotation/train.py | albertoursino/DeepPoseKit | a922d2d99cd55d0a3909c1f3f8b2bf8c377ff503 | [
"Apache-2.0"
] | null | null | null | from alberto.annotation import annotation_set
from pandas import np
from deepposekit.io import TrainingGenerator, DataGenerator
from deepposekit.augment import FlipAxis
import imgaug.augmenters as iaa
import imgaug as ia
from deepposekit.models import StackedHourglass
from deepposekit.models import load_model
import ... | 32.697436 | 132 | 0.606336 | 831 | 6,376 | 4.54272 | 0.244284 | 0.042384 | 0.020662 | 0.028609 | 0.396556 | 0.346225 | 0.32 | 0.297748 | 0.297748 | 0.229404 | 0 | 0.047239 | 0.25298 | 6,376 | 194 | 133 | 32.865979 | 0.745329 | 0.387077 | 0 | 0.095745 | 0 | 0 | 0.032872 | 0.026089 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.138298 | 0 | 0.138298 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd8237accaa927ddf6513747162736a47cc442f6 | 763 | py | Python | northpole/settings/local_staging.py | mhotwagner/northpole | 7d904d919aeb6a36549750ee0700578246896691 | [
"MIT"
] | null | null | null | northpole/settings/local_staging.py | mhotwagner/northpole | 7d904d919aeb6a36549750ee0700578246896691 | [
"MIT"
] | null | null | null | northpole/settings/local_staging.py | mhotwagner/northpole | 7d904d919aeb6a36549750ee0700578246896691 | [
"MIT"
] | null | null | null | from .base import *
from dotenv import load_dotenv
load_dotenv(dotenv_path='northpole/.staging.env', verbose=True)
ALLOWED_HOSTS = ['*']
EMAIL_BACKEND = 'django.core.mail.backends.console.EmailBackend'
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': os.get... | 25.433333 | 64 | 0.651376 | 91 | 763 | 5.252747 | 0.494505 | 0.083682 | 0.167364 | 0.087866 | 0.148536 | 0.148536 | 0 | 0 | 0 | 0 | 0 | 0.007837 | 0.163827 | 763 | 29 | 65 | 26.310345 | 0.741379 | 0 | 0 | 0 | 0 | 0 | 0.352556 | 0.138925 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.047619 | 0.095238 | 0 | 0.095238 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd836f4eaf2d0f0894b304e6d9d109cacae91338 | 12,587 | py | Python | bc4py/bip32/bip32.py | namuyan/bc4py | 6484d356096261d0d57e9e1f5ffeae1f9a9865f3 | [
"MIT"
] | 12 | 2018-09-19T14:02:09.000Z | 2020-01-27T16:20:14.000Z | bc4py/bip32/bip32.py | kumacoinproject/bc4py | 6484d356096261d0d57e9e1f5ffeae1f9a9865f3 | [
"MIT"
] | 1 | 2020-03-19T16:57:30.000Z | 2020-03-19T16:57:30.000Z | bc4py/bip32/bip32.py | namuyan/bc4py | 6484d356096261d0d57e9e1f5ffeae1f9a9865f3 | [
"MIT"
] | 6 | 2018-11-13T17:20:14.000Z | 2020-02-15T11:46:52.000Z | #!/usr/bin/env python
#
# Copyright 2014 Corgan Labs
# See LICENSE.txt for distribution terms
#
from bc4py.bip32.base58 import check_decode, check_encode
from bc4py_extension import PyAddress
from ecdsa.curves import SECP256k1
from ecdsa.keys import SigningKey, VerifyingKey, square_root_mod_prime as mod_sqrt
from ecds... | 37.573134 | 126 | 0.593072 | 1,658 | 12,587 | 4.378166 | 0.1731 | 0.016531 | 0.013225 | 0.011572 | 0.330762 | 0.237085 | 0.192451 | 0.142306 | 0.136107 | 0.128668 | 0 | 0.03263 | 0.296337 | 12,587 | 334 | 127 | 37.685629 | 0.786948 | 0.186542 | 0 | 0.212389 | 0 | 0.017699 | 0.097225 | 0 | 0 | 0 | 0.001005 | 0.002994 | 0 | 1 | 0.079646 | false | 0 | 0.057522 | 0 | 0.256637 | 0.088496 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd865fa7395cf48130baac47f65fb9a0acdb8fa6 | 1,378 | py | Python | etapa 2/gaussJacobi.py | jlucartc/MetodosNumericos20182 | d5610b95945ed6ec9b9bae6cd96672f4d616c1b9 | [
"MIT"
] | null | null | null | etapa 2/gaussJacobi.py | jlucartc/MetodosNumericos20182 | d5610b95945ed6ec9b9bae6cd96672f4d616c1b9 | [
"MIT"
] | null | null | null | etapa 2/gaussJacobi.py | jlucartc/MetodosNumericos20182 | d5610b95945ed6ec9b9bae6cd96672f4d616c1b9 | [
"MIT"
] | null | null | null | import numpy as np
from sympy import *
from math import *
from timeit import default_timer as timer
start = None
end = None
def maxXi(Xn,X):
n = None
d = None
for i in range(Xn.shape[0]):
if(np.copy(Xn[i,0]) != 0):
nk = abs(np.copy(Xn[i,0]) - np.copy(X[i,0]))/abs(np.copy(Xn[i,0]))
... | 18.621622 | 78 | 0.523948 | 262 | 1,378 | 2.751908 | 0.248092 | 0.149792 | 0.066574 | 0.049931 | 0.230236 | 0.122053 | 0.041609 | 0 | 0 | 0 | 0 | 0.019666 | 0.261974 | 1,378 | 73 | 79 | 18.876712 | 0.689282 | 0 | 0 | 0 | 0 | 0 | 0.097242 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020408 | false | 0 | 0.081633 | 0 | 0.122449 | 0.102041 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd8770a9a9b49ceb88698ef2075f53487bd2aca7 | 8,139 | py | Python | custom_libs/Project2/plotter.py | drkostas/COSC522 | 5731576301daf99ca7c3d382fe3ea8b1398008ff | [
"MIT"
] | 1 | 2021-12-22T14:29:42.000Z | 2021-12-22T14:29:42.000Z | custom_libs/Project2/plotter.py | drkostas/COSC522 | 5731576301daf99ca7c3d382fe3ea8b1398008ff | [
"MIT"
] | 3 | 2021-10-13T02:14:30.000Z | 2021-11-24T05:28:32.000Z | custom_libs/Project2/plotter.py | drkostas/COSC522 | 5731576301daf99ca7c3d382fe3ea8b1398008ff | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
from matplotlib.colors import ListedColormap
import numpy as np
class Plotter:
synth_tr: np.ndarray
synth_te: np.ndarray
pima_tr: np.ndarray
pima_te: np.ndarray
def __init__(self, synth_tr: np.ndarray, synth_te: np.ndarray, pima_tr: np.ndarray,
pim... | 44.966851 | 110 | 0.578327 | 1,128 | 8,139 | 4.003546 | 0.185284 | 0.013286 | 0.029229 | 0.018601 | 0.416962 | 0.295616 | 0.219442 | 0.176484 | 0.131532 | 0.099203 | 0 | 0.082672 | 0.288119 | 8,139 | 181 | 111 | 44.966851 | 0.696755 | 0.077159 | 0 | 0.143836 | 0 | 0 | 0.130882 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034247 | false | 0 | 0.020548 | 0 | 0.089041 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd89017afbf663624d11e9b8f48f90440b465747 | 27,270 | py | Python | connector/binance/websockets.py | firebird631/siis | 8d64e8fb67619aaa5c0a62fda9de51dedcd47796 | [
"PostgreSQL"
] | null | null | null | connector/binance/websockets.py | firebird631/siis | 8d64e8fb67619aaa5c0a62fda9de51dedcd47796 | [
"PostgreSQL"
] | null | null | null | connector/binance/websockets.py | firebird631/siis | 8d64e8fb67619aaa5c0a62fda9de51dedcd47796 | [
"PostgreSQL"
] | null | null | null | # @date 2020-01-31
# @author Frederic Scherma, All rights reserved without prejudices.
# @license Copyright (c) 2020 Dream Overflow
# Binance Websocket connector.
import json
import threading
import traceback
from autobahn.twisted.websocket import WebSocketClientFactory, WebSocketClientProtocol, connectWS
from twiste... | 37.510316 | 136 | 0.541584 | 2,770 | 27,270 | 5.202166 | 0.182671 | 0.01499 | 0.018043 | 0.012977 | 0.402776 | 0.368425 | 0.354337 | 0.338793 | 0.327412 | 0.300139 | 0 | 0.043691 | 0.36212 | 27,270 | 726 | 137 | 37.561983 | 0.784708 | 0.467253 | 0 | 0.333333 | 0 | 0 | 0.047314 | 0.01191 | 0 | 0 | 0 | 0.001377 | 0 | 1 | 0.123457 | false | 0.004115 | 0.037037 | 0.004115 | 0.296296 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
cd8b45d655ef0b191b537030a3d9f0b1784aa23f | 772 | py | Python | kolibri/core/public/utils.py | FollonSaxBass/kolibri | 4cf820b14386aecc228fecff64c847bad407cbb1 | [
"MIT"
] | 2 | 2021-05-13T10:20:46.000Z | 2021-11-15T12:31:03.000Z | kolibri/core/public/utils.py | camellia26/kolibri | 7f1cb794c93f37e039be22f56a5ac1989ed22bde | [
"MIT"
] | 8 | 2021-05-21T15:31:24.000Z | 2022-02-24T15:02:14.000Z | kolibri/core/public/utils.py | camellia26/kolibri | 7f1cb794c93f37e039be22f56a5ac1989ed22bde | [
"MIT"
] | 1 | 2019-10-05T11:14:40.000Z | 2019-10-05T11:14:40.000Z | import platform
from django.core.exceptions import ObjectDoesNotExist
from morango.models import InstanceIDModel
import kolibri
def get_device_info():
"""Returns metadata information about the device"""
instance_model = InstanceIDModel.get_or_create_current_instance()[0]
try:
device_name = koli... | 28.592593 | 82 | 0.715026 | 87 | 772 | 6.114943 | 0.563218 | 0.075188 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001621 | 0.200777 | 772 | 26 | 83 | 29.692308 | 0.860616 | 0.148964 | 0 | 0 | 0 | 0 | 0.109063 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | 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 |
cd8c005ad2ae492334e75e29d8ea3fae95bca95b | 1,372 | py | Python | mcpipy/cellcraft/config.py | cellcraft/cellcraft | 1cb2b152bb6433250cec43e2586f1b5d093ec6e5 | [
"MIT"
] | 2 | 2016-01-21T12:05:36.000Z | 2016-04-18T09:50:03.000Z | mcpipy/cellcraft/config.py | cellcraft/cellcraft | 1cb2b152bb6433250cec43e2586f1b5d093ec6e5 | [
"MIT"
] | 1 | 2016-05-13T13:08:28.000Z | 2016-05-13T13:08:28.000Z | mcpipy/cellcraft/config.py | cellcraft/cellcraft | 1cb2b152bb6433250cec43e2586f1b5d093ec6e5 | [
"MIT"
] | 3 | 2015-12-14T19:28:42.000Z | 2020-11-29T12:53:12.000Z | import os
import json
import logging
# cellcraft node
CELLCRAFT_NODE_URL="http://192.168.178.29:4534"
# path to cache where pickle files will be stored
PATH_RESOURCES='cellcraft/resources'
PATH_CACHE='cellcraft/resources/cache/'
PATH_TEST_CACHE='test/fixtures/cache/'
# path to fixtures
PATH_TO_FIXTURES="test/fixtu... | 24.070175 | 98 | 0.764577 | 194 | 1,372 | 5.226804 | 0.469072 | 0.069034 | 0.053254 | 0.073965 | 0.129191 | 0.094675 | 0.094675 | 0.094675 | 0.094675 | 0.094675 | 0 | 0.034043 | 0.143586 | 1,372 | 56 | 99 | 24.5 | 0.828936 | 0.223761 | 0 | 0.193548 | 0 | 0 | 0.268939 | 0.07197 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.096774 | 0 | 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 |
cd8c4a556bdf6a751d59f1d67ef4d0688f0e6844 | 9,123 | py | Python | ftpsync/pyftpsync.py | wengzy/pyftpsync | db6decb02bf3535fe87d90b45a6cc974dd356b04 | [
"MIT"
] | 86 | 2015-03-02T17:40:03.000Z | 2022-03-14T03:41:40.000Z | ftpsync/pyftpsync.py | wengzy/pyftpsync | db6decb02bf3535fe87d90b45a6cc974dd356b04 | [
"MIT"
] | 63 | 2015-04-12T19:01:52.000Z | 2022-01-19T00:57:51.000Z | ftpsync/pyftpsync.py | wengzy/pyftpsync | db6decb02bf3535fe87d90b45a6cc974dd356b04 | [
"MIT"
] | 25 | 2015-04-12T18:07:25.000Z | 2021-04-25T15:20:24.000Z | # -*- coding: utf-8 -*-
"""
Simple folder synchronization using FTP.
(c) 2012-2021 Martin Wendt; see https://github.com/mar10/pyftpsync
Licensed under the MIT license: https://www.opensource.org/licenses/mit-license.php
Usage examples:
> pyftpsync.py --help
> pyftpsync.py upload . ftps://example.com/myfo... | 31.350515 | 90 | 0.574044 | 998 | 9,123 | 5.103206 | 0.247495 | 0.034557 | 0.038288 | 0.021206 | 0.428038 | 0.376988 | 0.374239 | 0.348125 | 0.348125 | 0.348125 | 0 | 0.003753 | 0.269758 | 9,123 | 290 | 91 | 31.458621 | 0.760733 | 0.163872 | 0 | 0.328571 | 0 | 0 | 0.268483 | 0.003012 | 0 | 0 | 0 | 0 | 0 | 1 | 0.004762 | false | 0 | 0.061905 | 0 | 0.07619 | 0.038095 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |