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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
31d4b6913b04eb19080a816c2290d803b8ff2f23 | 8,618 | py | Python | cogeo_mosaic/backends/base.py | drnextgis/cogeo-mosaic | 034d0124a2da894c2bb432b1c0cebba7f716edbd | [
"MIT"
] | null | null | null | cogeo_mosaic/backends/base.py | drnextgis/cogeo-mosaic | 034d0124a2da894c2bb432b1c0cebba7f716edbd | [
"MIT"
] | null | null | null | cogeo_mosaic/backends/base.py | drnextgis/cogeo-mosaic | 034d0124a2da894c2bb432b1c0cebba7f716edbd | [
"MIT"
] | null | null | null | """cogeo_mosaic.backend.base: base Backend class."""
import abc
import itertools
from typing import Any, Dict, List, Optional, Sequence, Tuple, Type, Union
import attr
import mercantile
from cachetools import TTLCache, cached
from cachetools.keys import hashkey
from morecantile import TileMatrixSet
from rio_tiler.con... | 36.058577 | 137 | 0.636343 | 1,066 | 8,618 | 5.012195 | 0.196998 | 0.047165 | 0.06326 | 0.018716 | 0.215235 | 0.126708 | 0.108179 | 0.091709 | 0.073741 | 0.065132 | 0 | 0.005534 | 0.245185 | 8,618 | 238 | 138 | 36.210084 | 0.815834 | 0.206428 | 0 | 0.152318 | 0 | 0 | 0.0178 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145695 | false | 0 | 0.13245 | 0 | 0.443709 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31d61f0a33b68e1cb755859a34a3948798308cb2 | 5,190 | py | Python | userge/core/methods/decorators/on_filters.py | wildyvpn-network/bot | 87459495000bd6004b8f62a9cb933c164da9ef29 | [
"MIT"
] | null | null | null | userge/core/methods/decorators/on_filters.py | wildyvpn-network/bot | 87459495000bd6004b8f62a9cb933c164da9ef29 | [
"MIT"
] | null | null | null | userge/core/methods/decorators/on_filters.py | wildyvpn-network/bot | 87459495000bd6004b8f62a9cb933c164da9ef29 | [
"MIT"
] | null | null | null | # pylint: disable=missing-module-docstring
#
# Copyright (C) 2020 by UsergeTeam@Github, < https://github.com/UsergeTeam >.
#
# This file is part of < https://github.com/UsergeTeam/Userge > project,
# and is released under the "GNU v3.0 License Agreement".
# Please see < https://github.com/uaudith/Userge/blob/master/LIC... | 43.613445 | 89 | 0.527746 | 515 | 5,190 | 5.114563 | 0.234951 | 0.060744 | 0.079727 | 0.075171 | 0.462794 | 0.220957 | 0.188307 | 0.090357 | 0 | 0 | 0 | 0.002504 | 0.384393 | 5,190 | 118 | 90 | 43.983051 | 0.821909 | 0.563391 | 0 | 0 | 0 | 0 | 0.004004 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | 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 |
31d8a178060a23e17a236c26a55e351c521d366e | 3,823 | py | Python | RepositoryBootstrap/EnvironmentDiffs.py | davidbrownell/v3-Common_Environment | 8f42f256e573cbd83cbf9813db9958025ddf12f2 | [
"BSL-1.0"
] | null | null | null | RepositoryBootstrap/EnvironmentDiffs.py | davidbrownell/v3-Common_Environment | 8f42f256e573cbd83cbf9813db9958025ddf12f2 | [
"BSL-1.0"
] | 1 | 2018-06-08T06:45:16.000Z | 2018-06-08T06:45:16.000Z | RepositoryBootstrap/EnvironmentDiffs.py | davidbrownell/v3-Common_Environment | 8f42f256e573cbd83cbf9813db9958025ddf12f2 | [
"BSL-1.0"
] | 1 | 2018-06-08T04:15:17.000Z | 2018-06-08T04:15:17.000Z | # ----------------------------------------------------------------------
# |
# | EnvironmentDiffs.py
# |
# | David Brownell <db@DavidBrownell.com>
# | 2018-06-02 22:19:34
# |
# ----------------------------------------------------------------------
# |
# | Copyright David Brownell 2018-22.
# | Distrib... | 36.409524 | 126 | 0.437876 | 272 | 3,823 | 5.944853 | 0.448529 | 0.06679 | 0.083488 | 0.014842 | 0.152134 | 0.118738 | 0.076685 | 0.076685 | 0 | 0 | 0 | 0.008892 | 0.176301 | 3,823 | 104 | 127 | 36.759615 | 0.504605 | 0.405441 | 0 | 0.207547 | 0 | 0 | 0.004103 | 0 | 0 | 0 | 0 | 0 | 0.037736 | 1 | 0.075472 | false | 0.018868 | 0.169811 | 0 | 0.301887 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31da9f9cf7a9feda53f89aeafcbeadfbe26ac626 | 7,837 | py | Python | tests/model/test_ocrd_mets.py | wrznr/pyocrd | 25c4dd8c60285b7877803e2b627d72c8c0a4ab1e | [
"Apache-2.0"
] | null | null | null | tests/model/test_ocrd_mets.py | wrznr/pyocrd | 25c4dd8c60285b7877803e2b627d72c8c0a4ab1e | [
"Apache-2.0"
] | null | null | null | tests/model/test_ocrd_mets.py | wrznr/pyocrd | 25c4dd8c60285b7877803e2b627d72c8c0a4ab1e | [
"Apache-2.0"
] | null | null | null | from datetime import datetime
from os.path import join
from tests.base import TestCase, main, assets, copy_of_directory
from ocrd_utils import (
initLogging,
VERSION,
MIMETYPE_PAGE
)
from ocrd_models import OcrdMets
# pylint: disable=protected-access,deprecated-method,too-many-public-methods
class TestOcr... | 44.528409 | 139 | 0.643486 | 1,041 | 7,837 | 4.685879 | 0.192123 | 0.132226 | 0.095941 | 0.072161 | 0.466175 | 0.417179 | 0.287618 | 0.234727 | 0.159492 | 0.140221 | 0 | 0.030323 | 0.208881 | 7,837 | 175 | 140 | 44.782857 | 0.756452 | 0.045808 | 0 | 0.087591 | 0 | 0 | 0.210073 | 0.024374 | 0 | 0 | 0 | 0 | 0.372263 | 1 | 0.160584 | false | 0.007299 | 0.036496 | 0 | 0.20438 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31db05913c960fafbf96871656aa566e21ebbd4d | 7,862 | py | Python | robo_gym/envs/ur/ur_avoidance_basic.py | psFournier/robo-gym | 0e67a36c0cbeac885c53b92de8f3f1f13e286c9a | [
"MIT"
] | 236 | 2020-04-15T10:50:45.000Z | 2022-03-31T14:28:52.000Z | robo_gym/envs/ur/ur_avoidance_basic.py | psFournier/robo-gym | 0e67a36c0cbeac885c53b92de8f3f1f13e286c9a | [
"MIT"
] | 36 | 2020-07-13T17:11:32.000Z | 2022-02-21T14:01:33.000Z | robo_gym/envs/ur/ur_avoidance_basic.py | psFournier/robo-gym | 0e67a36c0cbeac885c53b92de8f3f1f13e286c9a | [
"MIT"
] | 51 | 2020-04-24T08:58:31.000Z | 2022-03-18T17:14:23.000Z | """
Environment for basic obstacle avoidance controlling a robotic arm from UR.
In this environment the obstacle is only moving up and down in a vertical line in front of the robot.
The goal is for the robot to stay within a predefined minimum distance to the moving obstacle.
When feasible the robot should continue to... | 47.077844 | 197 | 0.672602 | 1,085 | 7,862 | 4.599078 | 0.23318 | 0.022445 | 0.028858 | 0.019639 | 0.290782 | 0.222044 | 0.173948 | 0.129259 | 0.085772 | 0.085772 | 0 | 0.020736 | 0.239379 | 7,862 | 167 | 197 | 47.077844 | 0.813712 | 0.307174 | 0 | 0.086957 | 0 | 0 | 0.082066 | 0.04507 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054348 | false | 0 | 0.054348 | 0 | 0.228261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31dd0da78d51189eef9e478f249f06c8a43016ca | 1,789 | py | Python | config/constants.py | flopezag/fiware-tsc-dashboard | af80673707c9b2fb85c9f4aa12bce12a20ef4431 | [
"Apache-2.0"
] | null | null | null | config/constants.py | flopezag/fiware-tsc-dashboard | af80673707c9b2fb85c9f4aa12bce12a20ef4431 | [
"Apache-2.0"
] | 37 | 2017-02-23T09:08:58.000Z | 2019-08-13T09:34:40.000Z | config/constants.py | flopezag/fiware-tsc-dashboard | af80673707c9b2fb85c9f4aa12bce12a20ef4431 | [
"Apache-2.0"
] | 2 | 2017-12-19T15:06:33.000Z | 2019-05-02T17:24:45.000Z | #!/usr/bin/env python
# -*- encoding: utf-8 -*-
##
# Copyright 2017 FIWARE Foundation, e.V.
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apach... | 31.946429 | 108 | 0.755729 | 258 | 1,789 | 5.096899 | 0.612403 | 0.045627 | 0.019772 | 0.024335 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013926 | 0.157071 | 1,789 | 55 | 109 | 32.527273 | 0.85809 | 0.756288 | 0 | 0 | 0 | 0 | 0.335013 | 0.118388 | 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 |
31dd79c83f754d036eb084c170cefc01374db92c | 633 | py | Python | src/GUI/Plotter.py | sbooeshaghi/pegasus | 32ca075b38a72a7955209657a8326ac749f658a3 | [
"BSD-2-Clause"
] | 1 | 2021-08-31T13:30:25.000Z | 2021-08-31T13:30:25.000Z | src/GUI/Plotter.py | pachterlab/pegasus | 32ca075b38a72a7955209657a8326ac749f658a3 | [
"BSD-2-Clause"
] | 1 | 2020-10-27T16:42:55.000Z | 2020-10-27T16:42:55.000Z | src/GUI/Plotter.py | pachterlab/pegasus | 32ca075b38a72a7955209657a8326ac749f658a3 | [
"BSD-2-Clause"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import pyqtgraph as pg
import numpy as np
class CustomWidget(pg.GraphicsWindow):
pg.setConfigOption('background', 'w')
pg.setConfigOption('foreground', 'k')
def __init__(self, parent=None, **kargs):
pg.GraphicsWindow.__init__(self, **kargs)
sel... | 31.65 | 77 | 0.63981 | 77 | 633 | 5.051948 | 0.649351 | 0.082262 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005894 | 0.195893 | 633 | 20 | 78 | 31.65 | 0.75835 | 0.066351 | 0 | 0 | 0 | 0 | 0.147458 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.266667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31de64f0189fb656e61e3cf8d36bbc5c08efed8c | 2,733 | py | Python | tests/test_collapsible.py | TehMillhouse/sphinxawesome-theme | 5130b8b4c2546ceaccf37353fa6a0bfb4526303c | [
"MIT"
] | 17 | 2020-07-10T12:05:07.000Z | 2022-03-08T03:40:49.000Z | tests/test_collapsible.py | TehMillhouse/sphinxawesome-theme | 5130b8b4c2546ceaccf37353fa6a0bfb4526303c | [
"MIT"
] | 475 | 2020-05-22T09:44:25.000Z | 2022-03-27T08:01:23.000Z | tests/test_collapsible.py | TehMillhouse/sphinxawesome-theme | 5130b8b4c2546ceaccf37353fa6a0bfb4526303c | [
"MIT"
] | 10 | 2020-12-23T11:14:57.000Z | 2022-02-13T08:51:02.000Z | """Tests for collapsible definition lists.
When the option ``html_collapsible_definitions``
is ``True``, some HTML classes should be added
to some definition lists but not all of them.
"""
from pathlib import Path
import pytest
from sphinx.application import Sphinx
from .util import parse_html
@pytest.mark.sphinx... | 30.032967 | 80 | 0.642883 | 373 | 2,733 | 4.621984 | 0.270777 | 0.031323 | 0.037123 | 0.034803 | 0.602088 | 0.522622 | 0.522622 | 0.522622 | 0.522622 | 0.522622 | 0 | 0.005457 | 0.19539 | 2,733 | 90 | 81 | 30.366667 | 0.778536 | 0.181851 | 0 | 0.619048 | 0 | 0.031746 | 0.208352 | 0.053563 | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0.047619 | false | 0 | 0.063492 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31df4d7e972bd1519fc475be70b05e383b709299 | 1,618 | py | Python | Iris Network/Conclusion/task.py | jetbrains-academy/Machine-Learning-101 | 7b583dbff1e90115296dcaeac78ca88363c158c9 | [
"MIT"
] | null | null | null | Iris Network/Conclusion/task.py | jetbrains-academy/Machine-Learning-101 | 7b583dbff1e90115296dcaeac78ca88363c158c9 | [
"MIT"
] | 10 | 2021-11-22T16:51:52.000Z | 2022-02-14T12:57:57.000Z | Iris Network/Conclusion/task.py | jetbrains-academy/Machine-Learning-101 | 7b583dbff1e90115296dcaeac78ca88363c158c9 | [
"MIT"
] | null | null | null | import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
from network import NN
from evaluate import accuracy
def read_data(fpath):
iris = pd.read_csv(fpath)
iris.loc[iris['species'] == 'virginica', 'species'] = 0
iris.loc[iris['species'] == 'versicolor', 'species'] = 1
iris.loc[iris['sp... | 33.708333 | 105 | 0.65513 | 257 | 1,618 | 3.988327 | 0.346304 | 0.053659 | 0.073171 | 0.085854 | 0.218537 | 0.165854 | 0.062439 | 0.062439 | 0 | 0 | 0 | 0.02024 | 0.175525 | 1,618 | 47 | 106 | 34.425532 | 0.748126 | 0.037701 | 0 | 0 | 0 | 0.055556 | 0.238249 | 0.027044 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0.138889 | 0 | 0.277778 | 0.138889 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31e177fb5a84a661f6f3ed3c32e0ead9540dfcd1 | 1,160 | py | Python | agentless/crypto.py | tinyauth/agentless | 50f30dbb11007fd58c057a38c61783bff282603f | [
"Apache-2.0"
] | null | null | null | agentless/crypto.py | tinyauth/agentless | 50f30dbb11007fd58c057a38c61783bff282603f | [
"Apache-2.0"
] | null | null | null | agentless/crypto.py | tinyauth/agentless | 50f30dbb11007fd58c057a38c61783bff282603f | [
"Apache-2.0"
] | null | null | null | from cryptography.hazmat.backends import default_backend
from cryptography.hazmat.primitives import hashes, serialization
from cryptography.hazmat.primitives.asymmetric import padding, rsa
backend = default_backend()
def generate_private_key():
key = rsa.generate_private_key(
public_exponent=65537,
... | 25.777778 | 66 | 0.712931 | 129 | 1,160 | 6.170543 | 0.356589 | 0.113065 | 0.065327 | 0.075377 | 0.109296 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016164 | 0.2 | 1,160 | 44 | 67 | 26.363636 | 0.841595 | 0 | 0 | 0.117647 | 0 | 0 | 0.008621 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0.029412 | 0.088235 | 0.058824 | 0.323529 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31e1ce88e4424fa367dbbc4289f23529ddd13fe8 | 1,939 | py | Python | sphinx/source/tutorial/exercises/stocks.py | minrk/bokeh | ae4366e508355afc06b5fc62f1ee399635ab909d | [
"BSD-3-Clause"
] | null | null | null | sphinx/source/tutorial/exercises/stocks.py | minrk/bokeh | ae4366e508355afc06b5fc62f1ee399635ab909d | [
"BSD-3-Clause"
] | null | null | null | sphinx/source/tutorial/exercises/stocks.py | minrk/bokeh | ae4366e508355afc06b5fc62f1ee399635ab909d | [
"BSD-3-Clause"
] | null | null | null |
import numpy as np
import pandas as pd
from bokeh.plotting import *
# Here is some code to read in some stock data from the Yahoo Finance API
AAPL = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=AAPL&a=0&b=1&c=2000",
parse_dates=['Date'])
GOOG = pd.read_csv(
"http://ichart.yahoo.com/table.csv?s=GOOG&... | 34.017544 | 85 | 0.638473 | 303 | 1,939 | 4.026403 | 0.405941 | 0.019672 | 0.029508 | 0.042623 | 0.337705 | 0.277049 | 0.277049 | 0.277049 | 0.277049 | 0.201639 | 0 | 0.020492 | 0.244972 | 1,939 | 56 | 86 | 34.625 | 0.812842 | 0.421351 | 0 | 0.133333 | 0 | 0.133333 | 0.320618 | 0.037239 | 0 | 0 | 0 | 0 | 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 |
31e29f3d6b52be28f77756b4ec61862d6adf938c | 1,828 | py | Python | nni/retiarii/converter/visualize.py | qfyin/nni | 59a1ccf8eba68b94974e84fc3834f38d851faf89 | [
"MIT"
] | 3 | 2021-02-23T14:01:43.000Z | 2021-03-29T16:19:32.000Z | nni/retiarii/converter/visualize.py | qfyin/nni | 59a1ccf8eba68b94974e84fc3834f38d851faf89 | [
"MIT"
] | 1 | 2021-01-17T08:53:56.000Z | 2021-01-17T08:53:56.000Z | nni/retiarii/converter/visualize.py | qfyin/nni | 59a1ccf8eba68b94974e84fc3834f38d851faf89 | [
"MIT"
] | 1 | 2020-12-21T11:15:54.000Z | 2020-12-21T11:15:54.000Z | import graphviz
def convert_to_visualize(graph_ir, vgraph):
for name, graph in graph_ir.items():
if name == '_training_config':
continue
with vgraph.subgraph(name='cluster'+name) as subgraph:
subgraph.attr(color='blue')
cell_node = {}
ioput = {'_inpu... | 43.52381 | 124 | 0.516958 | 196 | 1,828 | 4.545918 | 0.27551 | 0.062851 | 0.058361 | 0.051627 | 0.253648 | 0.253648 | 0.184063 | 0.184063 | 0.105499 | 0.105499 | 0 | 0.003276 | 0.332057 | 1,828 | 41 | 125 | 44.585366 | 0.726454 | 0 | 0 | 0 | 0 | 0 | 0.123085 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.027027 | 0 | 0.081081 | 0.027027 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31e59bd3f15670f0f52fb2ebf16c987e7332b1b1 | 885 | py | Python | customBackground.py | VisweshK/Jashmup | ca0cf639000734c5aea8583d9477af9a387f6d46 | [
"MIT"
] | null | null | null | customBackground.py | VisweshK/Jashmup | ca0cf639000734c5aea8583d9477af9a387f6d46 | [
"MIT"
] | null | null | null | customBackground.py | VisweshK/Jashmup | ca0cf639000734c5aea8583d9477af9a387f6d46 | [
"MIT"
] | null | null | null | '''
This is the class to create a scrolling background.
Because the background was so large, it was made to be a .jpg.
'''
import pygame, os
class Background(pygame.sprite.Sprite):
# Initialize the sprite.
def __init__(self,disp):
pygame.sprite.Sprite.__init__(self)
self.image = pygame... | 31.607143 | 96 | 0.638418 | 130 | 885 | 4.276923 | 0.407692 | 0.064748 | 0.048561 | 0.05036 | 0.061151 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00916 | 0.259887 | 885 | 27 | 97 | 32.777778 | 0.839695 | 0.377401 | 0 | 0.133333 | 0 | 0 | 0.046992 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.066667 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31e6ea9406db1015334a06a90ed69fe2df85ccfc | 1,705 | py | Python | src/python/squarepants/file_utils.py | ericzundel/mvn2pants | 59776864939515bc0cae28e1b89944ce55b98b21 | [
"Apache-2.0"
] | 8 | 2015-04-14T22:37:56.000Z | 2021-01-20T19:46:40.000Z | src/python/squarepants/file_utils.py | ericzundel/mvn2pants | 59776864939515bc0cae28e1b89944ce55b98b21 | [
"Apache-2.0"
] | 1 | 2016-01-13T23:19:14.000Z | 2016-01-22T22:47:48.000Z | src/python/squarepants/file_utils.py | ericzundel/mvn2pants | 59776864939515bc0cae28e1b89944ce55b98b21 | [
"Apache-2.0"
] | 3 | 2015-12-13T08:35:34.000Z | 2018-08-01T17:44:59.000Z | import os
import shutil
from contextlib import contextmanager
from tempfile import mkdtemp, mktemp
@contextmanager
def temporary_dir():
"""Returns a temporary directory that gets cleaned up when the context manager exits."""
tempdir = mkdtemp()
try:
yield tempdir
finally:
shutil.rmtree(tempdir)
@con... | 26.230769 | 97 | 0.719062 | 227 | 1,705 | 5.361233 | 0.422907 | 0.041906 | 0.042728 | 0.027938 | 0.070666 | 0.070666 | 0.070666 | 0.070666 | 0.070666 | 0 | 0 | 0 | 0.192375 | 1,705 | 64 | 98 | 26.640625 | 0.883805 | 0.353079 | 0 | 0.219512 | 0 | 0 | 0.006567 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121951 | false | 0 | 0.097561 | 0 | 0.268293 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31e76ef0dddf511d5e363ce2b9c0502413fbe8c1 | 1,366 | py | Python | docs/DSDC/miniprez/miniprez/continuous_integration.py | thoppe/Presentation_Topics | e9aba07e9ab087b44e6044c6082ba8e873a9b4fd | [
"MIT"
] | 2 | 2018-12-03T17:03:19.000Z | 2018-12-10T16:42:39.000Z | docs/DSDC/miniprez/miniprez/continuous_integration.py | thoppe/Presentation_Topics_in_NLP | e9aba07e9ab087b44e6044c6082ba8e873a9b4fd | [
"MIT"
] | 1 | 2019-02-19T15:12:19.000Z | 2019-02-19T15:12:19.000Z | docs/DSDC/miniprez/miniprez/continuous_integration.py | thoppe/Presentation_Topics_in_NLP | e9aba07e9ab087b44e6044c6082ba8e873a9b4fd | [
"MIT"
] | 1 | 2019-02-19T12:51:37.000Z | 2019-02-19T12:51:37.000Z | import asyncio
import os
from parser import miniprez_markdown, build_body
import logging
logger = logging.getLogger("miniprez")
async def file_watcher(target_file, sleep_time=0.5):
"""
Watchs a file. If modified, yield the filename.
Yield the filename once to start.
"""
# Yield the file first
... | 24.836364 | 74 | 0.678624 | 190 | 1,366 | 4.647368 | 0.352632 | 0.06795 | 0.09966 | 0.088335 | 0.138165 | 0.06342 | 0 | 0 | 0 | 0 | 0 | 0.004766 | 0.232064 | 1,366 | 54 | 75 | 25.296296 | 0.836988 | 0.040264 | 0 | 0 | 0 | 0 | 0.049684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.148148 | 0 | 0.185185 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31e9ecb8c0d331c1cbff40bfe30ea5db0aed7e97 | 3,943 | py | Python | rl_algorithms/dqn/linear.py | yonghangzhou/rl_algorithms | fe373bf77c9007e4e1d7134e1d610131125fa4b7 | [
"MIT"
] | 1 | 2020-11-12T07:48:49.000Z | 2020-11-12T07:48:49.000Z | rl_algorithms/dqn/linear.py | yonghangzhou/rl_algorithms | fe373bf77c9007e4e1d7134e1d610131125fa4b7 | [
"MIT"
] | null | null | null | rl_algorithms/dqn/linear.py | yonghangzhou/rl_algorithms | fe373bf77c9007e4e1d7134e1d610131125fa4b7 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Linear module for dqn algorithms
- Author: Kyunghwan Kim
- Contact: kh.kim@medipixel.io
"""
import math
import numpy as np
import torch
import torch.nn as nn
import torch.nn.functional as F
from rl_algorithms.common.helper_functions import numpy2floattensor
device = torch.device("cuda:0"... | 33.700855 | 87 | 0.673852 | 512 | 3,943 | 4.980469 | 0.291016 | 0.060392 | 0.032941 | 0.051765 | 0.306275 | 0.241569 | 0.162353 | 0.089412 | 0.065098 | 0 | 0 | 0.005181 | 0.21684 | 3,943 | 116 | 88 | 33.991379 | 0.820596 | 0.308648 | 0 | 0.078431 | 0 | 0 | 0.013598 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.156863 | false | 0 | 0.117647 | 0 | 0.392157 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31ecb15b99e3ceb267fe3088d539b5b22c952d38 | 1,346 | py | Python | flink-ai-flow/examples/workflow_on_event/workflows/init/init.py | lisy09/flink-ai-extended | 011a5a332f7641f66086653e715d0596eab2e107 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | flink-ai-flow/examples/workflow_on_event/workflows/init/init.py | lisy09/flink-ai-extended | 011a5a332f7641f66086653e715d0596eab2e107 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | flink-ai-flow/examples/workflow_on_event/workflows/init/init.py | lisy09/flink-ai-extended | 011a5a332f7641f66086653e715d0596eab2e107 | [
"Apache-2.0",
"BSD-2-Clause",
"MIT",
"ECL-2.0",
"BSD-3-Clause"
] | null | null | null | #
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not... | 35.421053 | 83 | 0.770431 | 204 | 1,346 | 4.867647 | 0.465686 | 0.060423 | 0.068479 | 0.084592 | 0.138973 | 0.138973 | 0.076536 | 0.076536 | 0 | 0 | 0 | 0.003484 | 0.147103 | 1,346 | 37 | 84 | 36.378378 | 0.861498 | 0.558692 | 0 | 0 | 0 | 0 | 0.236522 | 0.073043 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.153846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31ee3bc132db64859847221802dd7bff470b9ce3 | 977 | py | Python | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/bobcat/profiles/Profile_WiSUN.py | SiliconLabs/Gecko_SDK | 991121c706578c9a2135b6f75cc88856e8c64bdc | [
"Zlib"
] | 82 | 2016-06-29T17:24:43.000Z | 2021-04-16T06:49:17.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/bobcat/profiles/Profile_WiSUN.py | SiliconLabs/Gecko_SDK | 991121c706578c9a2135b6f75cc88856e8c64bdc | [
"Zlib"
] | 2 | 2017-02-13T10:07:17.000Z | 2017-03-22T21:28:26.000Z | platform/radio/efr32_multiphy_configurator/pyradioconfig/parts/bobcat/profiles/Profile_WiSUN.py | SiliconLabs/Gecko_SDK | 991121c706578c9a2135b6f75cc88856e8c64bdc | [
"Zlib"
] | 56 | 2016-08-02T10:50:50.000Z | 2021-07-19T08:57:34.000Z | from pyradioconfig.parts.ocelot.profiles.Profile_WiSUN import Profile_WiSUN_Ocelot
from pyradioconfig.parts.common.profiles.bobcat_regs import build_modem_regs_bobcat
from pyradioconfig.parts.common.profiles.profile_common import buildCrcOutputs, buildFecOutputs, buildFrameOutputs, \
buildWhiteOutputs
class Profil... | 42.478261 | 117 | 0.73695 | 103 | 977 | 6.679612 | 0.359223 | 0.104651 | 0.104651 | 0.081395 | 0.104651 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.188332 | 977 | 23 | 118 | 42.478261 | 0.867591 | 0 | 0 | 0 | 0 | 0 | 0.052147 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.15 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
31ee7dd58797f57d854758b0971c25c71826cd28 | 2,485 | py | Python | smol_opyt/logistic_problem.py | abelsiqueira/smol-opyt | 58901906eb3129f4aae9edc7893bba624c5a0686 | [
"MIT"
] | null | null | null | smol_opyt/logistic_problem.py | abelsiqueira/smol-opyt | 58901906eb3129f4aae9edc7893bba624c5a0686 | [
"MIT"
] | 5 | 2021-08-02T02:04:48.000Z | 2021-08-02T02:27:57.000Z | smol_opyt/logistic_problem.py | abelsiqueira/smol-opyt | 58901906eb3129f4aae9edc7893bba624c5a0686 | [
"MIT"
] | null | null | null | from math import log
import numpy as np
from numpy import linalg as la
class LogisticProblem:
"""Class for the logistic regression method for classification."""
def __init__(self, feat_mtx, y):
"""Create a Logistic Problem with matrix `feat_mtx` n by p and vector `y` of 0s and 1s with size n.
... | 33.133333 | 107 | 0.534004 | 354 | 2,485 | 3.60452 | 0.257062 | 0.060345 | 0.043103 | 0.047022 | 0.254702 | 0.239812 | 0.128527 | 0.128527 | 0.128527 | 0.128527 | 0 | 0.020936 | 0.346479 | 2,485 | 74 | 108 | 33.581081 | 0.764778 | 0.181087 | 0 | 0.226415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113208 | false | 0 | 0.056604 | 0 | 0.264151 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ec50e4a84db3516536add2eb38a5493aef3c343 | 856 | py | Python | examples/PTSD/mpi_tmp/PTSD_cognet.py | zeroknowledgediscovery/cognet | 3acc2f05451ccbc228bf9c02e5d357b40b0c3e4f | [
"MIT"
] | null | null | null | examples/PTSD/mpi_tmp/PTSD_cognet.py | zeroknowledgediscovery/cognet | 3acc2f05451ccbc228bf9c02e5d357b40b0c3e4f | [
"MIT"
] | null | null | null | examples/PTSD/mpi_tmp/PTSD_cognet.py | zeroknowledgediscovery/cognet | 3acc2f05451ccbc228bf9c02e5d357b40b0c3e4f | [
"MIT"
] | null | null | null | from mpi4py.futures import MPIPoolExecutor
import numpy as np
import pandas as pd
from quasinet.qnet import Qnet, qdistance, load_qnet, qdistance_matrix
from quasinet.qsampling import qsample, targeted_qsample
qnet=load_qnet('../results/PTSD_cognet_test.joblib')
w = 304
h = w
p_all = pd.read_csv("tmp_samples_as_string... | 27.612903 | 84 | 0.73715 | 140 | 856 | 4.321429 | 0.464286 | 0.019835 | 0.033058 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005376 | 0.130841 | 856 | 31 | 85 | 27.612903 | 0.807796 | 0 | 0 | 0 | 0 | 0 | 0.10035 | 0.070012 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.185185 | 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 |
9ec5885a6003a25f321416770e39cf31583e933d | 4,778 | py | Python | dfainductor/algorithms/searchers.py | ctlab/DFA-Inductor-py | c9f0906101a4c83f125ab8c487dc2eac7a52d310 | [
"MIT"
] | 2 | 2020-06-03T11:27:45.000Z | 2021-08-30T04:14:48.000Z | dfainductor/algorithms/searchers.py | ctlab/DFA-Inductor-py | c9f0906101a4c83f125ab8c487dc2eac7a52d310 | [
"MIT"
] | 1 | 2021-07-14T18:43:58.000Z | 2021-07-14T18:43:58.000Z | dfainductor/algorithms/searchers.py | ctlab/DFA-Inductor-py | c9f0906101a4c83f125ab8c487dc2eac7a52d310 | [
"MIT"
] | null | null | null | from typing import List
from pysat.solvers import Solver
from ..variables import VarPool
from .reductions import ClauseGenerator
from ..examples import BaseExamplesProvider
from ..logging_utils import *
from ..statistics import STATISTICS
from ..structures import APTA, DFA, InconsistencyGraph
class LSUS:
_solve... | 43.834862 | 102 | 0.547928 | 491 | 4,778 | 5.016293 | 0.240326 | 0.052781 | 0.038571 | 0.022737 | 0.221681 | 0.168088 | 0.142103 | 0.101502 | 0.07633 | 0.07633 | 0 | 0.004348 | 0.374215 | 4,778 | 108 | 103 | 44.240741 | 0.819398 | 0 | 0 | 0.159574 | 0 | 0 | 0.0563 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.031915 | false | 0 | 0.085106 | 0 | 0.180851 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ec5b4570de1244cfecc950781db192eb22b2b73 | 22,697 | py | Python | lc_sqlalchemy_dbutils/manager.py | libcommon/sqlalchemy-dbutils-py | 39b2fb0fc51279a4d1c8a2b6fe250f8cff44d1b1 | [
"MIT"
] | null | null | null | lc_sqlalchemy_dbutils/manager.py | libcommon/sqlalchemy-dbutils-py | 39b2fb0fc51279a4d1c8a2b6fe250f8cff44d1b1 | [
"MIT"
] | null | null | null | lc_sqlalchemy_dbutils/manager.py | libcommon/sqlalchemy-dbutils-py | 39b2fb0fc51279a4d1c8a2b6fe250f8cff44d1b1 | [
"MIT"
] | null | null | null | ## -*- coding: UTF8 -*-
## manager.py
## Copyright (c) 2020 libcommon
##
## Permission is hereby granted, free of charge, to any person obtaining a copy
## of this software and associated documentation files (the "Software"), to deal
## in the Software without restriction, including without limitation the rights
## to... | 40.821942 | 119 | 0.628233 | 2,534 | 22,697 | 5.48974 | 0.159037 | 0.040184 | 0.021997 | 0.018115 | 0.370786 | 0.306951 | 0.268277 | 0.224211 | 0.186112 | 0.158076 | 0 | 0.003065 | 0.295546 | 22,697 | 555 | 120 | 40.895496 | 0.866971 | 0.420408 | 0 | 0.268868 | 0 | 0 | 0.093229 | 0.01994 | 0 | 0 | 0 | 0 | 0.122642 | 1 | 0.146226 | false | 0.042453 | 0.056604 | 0 | 0.301887 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ec70101de03b36989296a10649d2dea72a92c80 | 1,608 | py | Python | kafka_demo_1/producer.py | Aguinore/udemy_kafka_demo | 5f8383e1381dba2ddc0fc656b3cdc66b98258aad | [
"MIT"
] | null | null | null | kafka_demo_1/producer.py | Aguinore/udemy_kafka_demo | 5f8383e1381dba2ddc0fc656b3cdc66b98258aad | [
"MIT"
] | null | null | null | kafka_demo_1/producer.py | Aguinore/udemy_kafka_demo | 5f8383e1381dba2ddc0fc656b3cdc66b98258aad | [
"MIT"
] | null | null | null | from tweepy import StreamListener, OAuthHandler, Stream
from configs import Configs
import sys
class StdOutListener(StreamListener):
def __init__(self, kafka_producer, topic):
super().__init__()
self.kafka_producer = kafka_producer
self.topic = topic
""" A listener handles tweets tha... | 26.8 | 88 | 0.697139 | 188 | 1,608 | 5.75 | 0.43617 | 0.144311 | 0.047179 | 0.038853 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00549 | 0.20709 | 1,608 | 59 | 89 | 27.254237 | 0.842353 | 0.050995 | 0 | 0 | 0 | 0 | 0.071625 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.102564 | 0 | 0.358974 | 0.076923 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ec74c2b027410af0c055e866b7e76cb8dc5f04e | 1,717 | py | Python | demo/examples/stability/advection_d2q4.py | bgraille/pylbm | fd4419933e05b85be364232fddedfcb4f7275e1f | [
"BSD-3-Clause"
] | 106 | 2016-09-13T07:19:17.000Z | 2022-03-19T13:41:55.000Z | demo/examples/stability/advection_d2q4.py | gouarin/pylbm | fd4419933e05b85be364232fddedfcb4f7275e1f | [
"BSD-3-Clause"
] | 53 | 2017-09-18T04:51:19.000Z | 2022-01-19T21:36:23.000Z | demo/examples/stability/advection_d2q4.py | gouarin/pylbm | fd4419933e05b85be364232fddedfcb4f7275e1f | [
"BSD-3-Clause"
] | 33 | 2016-06-17T13:21:17.000Z | 2021-11-11T16:57:46.000Z |
"""
Stability analysis of the
D2Q4 solver for the advection equation
d_t(u) + c_x d_x(u) + c_y d_y(u) = 0
"""
import sympy as sp
import pylbm
# pylint: disable=invalid-name
# symbolic variables
U, X, Y = sp.symbols('U, X, Y')
# symbolic parameters
LA, CX, CY = sp.symbols('lambda, cx, cy', constants=True)
S_... | 20.939024 | 58 | 0.438556 | 225 | 1,717 | 3.191111 | 0.302222 | 0.02507 | 0.02507 | 0.022284 | 0.083565 | 0.016713 | 0 | 0 | 0 | 0 | 0 | 0.06256 | 0.394875 | 1,717 | 81 | 59 | 21.197531 | 0.628489 | 0.159581 | 0 | 0.193548 | 0 | 0 | 0.176264 | 0.030197 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.032258 | 0 | 0.032258 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ec859c40962ecf3e9c555e76fd3db0d87f04e0f | 3,386 | py | Python | src/tests/component/test_engine_manager.py | carbonblack/cbc-binary-toolkit | 92c90b80e3c3e0b5c2473ef2086d2ce2fb651db4 | [
"MIT"
] | 8 | 2020-05-12T18:08:52.000Z | 2021-12-27T06:11:00.000Z | src/tests/component/test_engine_manager.py | carbonblack/cbc-binary-toolkit | 92c90b80e3c3e0b5c2473ef2086d2ce2fb651db4 | [
"MIT"
] | 4 | 2020-05-13T16:07:49.000Z | 2020-06-30T18:47:14.000Z | src/tests/component/test_engine_manager.py | carbonblack/cbc-binary-toolkit | 92c90b80e3c3e0b5c2473ef2086d2ce2fb651db4 | [
"MIT"
] | 3 | 2020-05-16T19:57:57.000Z | 2020-11-01T08:43:31.000Z | # -*- coding: utf-8 -*-
# *******************************************************
# Copyright (c) VMware, Inc. 2020-2021. All Rights Reserved.
# SPDX-License-Identifier: MIT
# *******************************************************
# *
# * DISCLAIMER. THIS PROGRAM IS PROVIDED TO YOU "AS IS" WITHOUT
# * WARRANTIES OR C... | 30.781818 | 107 | 0.672475 | 355 | 3,386 | 6.230986 | 0.380282 | 0.049729 | 0.072333 | 0.049729 | 0.278481 | 0.278481 | 0.261302 | 0.213382 | 0.18264 | 0.163653 | 0 | 0.005803 | 0.185765 | 3,386 | 109 | 108 | 31.06422 | 0.796518 | 0.257826 | 0 | 0.450704 | 0 | 0 | 0.40429 | 0.097936 | 0 | 0 | 0 | 0 | 0.056338 | 1 | 0.070423 | false | 0.014085 | 0.112676 | 0 | 0.197183 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ecbaf805798824811c8f44248c90470a6ab1527 | 4,458 | py | Python | src/form/panel/MultiPanel.py | kaorin/vmd_sizing | e609299a0acaa17bd34487314b05bab6af6819d8 | [
"MIT"
] | 32 | 2019-05-05T13:08:51.000Z | 2022-03-11T07:13:27.000Z | src/form/panel/MultiPanel.py | kaorin/vmd_sizing | e609299a0acaa17bd34487314b05bab6af6819d8 | [
"MIT"
] | 3 | 2019-07-13T03:06:15.000Z | 2021-11-03T10:30:15.000Z | src/form/panel/MultiPanel.py | kaorin/vmd_sizing | e609299a0acaa17bd34487314b05bab6af6819d8 | [
"MIT"
] | 11 | 2019-07-15T17:49:09.000Z | 2022-03-20T10:40:27.000Z | # -*- coding: utf-8 -*-
#
import wx
import wx.lib.newevent
from form.panel.BasePanel import BasePanel
from form.parts.SizingFileSet import SizingFileSet
from module.MMath import MRect, MVector3D, MVector4D, MQuaternion, MMatrix4x4 # noqa
from utils import MFileUtils # noqa
from utils.MLogger import MLogger # noqa
log... | 42.056604 | 136 | 0.680126 | 586 | 4,458 | 4.87884 | 0.24744 | 0.053865 | 0.050017 | 0.052466 | 0.332984 | 0.264428 | 0.161945 | 0.147604 | 0.103533 | 0.050367 | 0 | 0.008567 | 0.214446 | 4,458 | 106 | 137 | 42.056604 | 0.807824 | 0.069314 | 0 | 0.029851 | 0 | 0 | 0.048379 | 0.038945 | 0 | 0 | 0 | 0 | 0 | 1 | 0.119403 | false | 0 | 0.104478 | 0 | 0.253731 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ecd3fdffb0348d1335d2b0ee06d51e7c7681296 | 1,261 | py | Python | androgui.py | nawfling/androguard | 67b992ce0feeeb01bc69a99257916487689c3bcf | [
"Apache-2.0"
] | 1 | 2019-03-29T19:24:23.000Z | 2019-03-29T19:24:23.000Z | androgui.py | adiltirur/malware_classification | 67b992ce0feeeb01bc69a99257916487689c3bcf | [
"Apache-2.0"
] | null | null | null | androgui.py | adiltirur/malware_classification | 67b992ce0feeeb01bc69a99257916487689c3bcf | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""Androguard Gui"""
import argparse
import os
import sys
from androguard.core import androconf
from androguard.gui.mainwindow import MainWindow
from PyQt5 import QtWidgets, QtGui
if __name__ == '__main__':
parser = argparse.ArgumentParser(description="Androguard GUI")
parser.add_argum... | 31.525 | 109 | 0.716891 | 157 | 1,261 | 5.617834 | 0.598726 | 0.044218 | 0.057823 | 0.07483 | 0.092971 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019011 | 0.165741 | 1,261 | 39 | 110 | 32.333333 | 0.819392 | 0.258525 | 0 | 0 | 0 | 0 | 0.103896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ecfe7e3194f0f7656e10dd2b39c230900905bf9 | 887 | py | Python | Python/repeated-dna-sequences.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/repeated-dna-sequences.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | Python/repeated-dna-sequences.py | sm2774us/leetcode_interview_prep_2021 | 33b41bea66c266b733372d9a8b9d2965cd88bf8c | [
"Fair"
] | null | null | null | # Time: O(n)
# Space: O(n)
import collections
class Solution(object):
def findRepeatedDnaSequences(self, s):
"""
:type s: str
:rtype: List[str]
"""
dict, rolling_hash, res = {}, 0, []
for i in range(len(s)):
rolling_hash = ((rolling_hash << 3) & 0x3fff... | 25.342857 | 79 | 0.476888 | 112 | 887 | 3.714286 | 0.4375 | 0.185096 | 0.144231 | 0.048077 | 0.192308 | 0.192308 | 0.120192 | 0.120192 | 0 | 0 | 0 | 0.025362 | 0.377678 | 887 | 34 | 80 | 26.088235 | 0.728261 | 0.096956 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013605 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.055556 | 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 |
9ed2d77b6c8c12c27e466fb716c2e65ea3ea3aaa | 2,579 | py | Python | squeeze_and_excitation_networks/datasets/data_loader.py | younnggsuk/CV-Paper-Implementation | fecd67d3f216872976f9b38445ce1c1f9ef1ac02 | [
"MIT"
] | 4 | 2021-06-03T13:56:51.000Z | 2021-11-05T06:22:25.000Z | densely_connected_convolutional_networks/datasets/data_loader.py | younnggsuk/CV-Paper-Implementation | fecd67d3f216872976f9b38445ce1c1f9ef1ac02 | [
"MIT"
] | null | null | null | densely_connected_convolutional_networks/datasets/data_loader.py | younnggsuk/CV-Paper-Implementation | fecd67d3f216872976f9b38445ce1c1f9ef1ac02 | [
"MIT"
] | 1 | 2022-03-28T09:34:03.000Z | 2022-03-28T09:34:03.000Z | import os
import cv2
import albumentations as A
from albumentations.pytorch import ToTensorV2
from torch.utils.data import Dataset, DataLoader
from sklearn.model_selection import train_test_split
__all__ = ['CatDogDataset', 'fetch_dataloader']
class CatDogDataset(Dataset):
def __init__(self, file_paths, ... | 29.643678 | 83 | 0.579294 | 280 | 2,579 | 5.067857 | 0.303571 | 0.069767 | 0.036646 | 0.042283 | 0.133897 | 0.062016 | 0.062016 | 0.062016 | 0.062016 | 0 | 0 | 0.018615 | 0.333463 | 2,579 | 87 | 84 | 29.643678 | 0.806864 | 0 | 0 | 0.125 | 0 | 0 | 0.024031 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.09375 | 0.015625 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ed44c7c52a922019ce69deffde3525039c1362a | 4,203 | py | Python | seq2seq_utils.py | mumbihere/summarizer | c230115c7d2d3bb659e9a0e402266178743f8de6 | [
"MIT"
] | null | null | null | seq2seq_utils.py | mumbihere/summarizer | c230115c7d2d3bb659e9a0e402266178743f8de6 | [
"MIT"
] | null | null | null | seq2seq_utils.py | mumbihere/summarizer | c230115c7d2d3bb659e9a0e402266178743f8de6 | [
"MIT"
] | null | null | null | from keras.preprocessing.text import text_to_word_sequence
from keras.models import Sequential
from keras.layers import Activation, TimeDistributed, Dense, RepeatVector, recurrent, Embedding
from keras.layers.recurrent import LSTM
from keras.optimizers import Adam, RMSprop
from nltk import FreqDist
import numpy as np
i... | 39.650943 | 169 | 0.664287 | 700 | 4,203 | 3.762857 | 0.198571 | 0.041002 | 0.048595 | 0.030752 | 0.3694 | 0.301822 | 0.268033 | 0.236902 | 0.220197 | 0.180714 | 0 | 0.006426 | 0.22246 | 4,203 | 106 | 170 | 39.650943 | 0.799572 | 0.137045 | 0 | 0.275 | 0 | 0 | 0.025442 | 0.006637 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1125 | 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 |
9ed6cf9a0648712f69e8e03077835798f4836842 | 4,318 | py | Python | venv/Lib/site-packages/gevent/backdoor.py | Kiiwi/Syssel | 83705e3fd0edf40f09df950d5ce91c95586573f5 | [
"BSD-3-Clause"
] | null | null | null | venv/Lib/site-packages/gevent/backdoor.py | Kiiwi/Syssel | 83705e3fd0edf40f09df950d5ce91c95586573f5 | [
"BSD-3-Clause"
] | null | null | null | venv/Lib/site-packages/gevent/backdoor.py | Kiiwi/Syssel | 83705e3fd0edf40f09df950d5ce91c95586573f5 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2009-2014, gevent contributors
# Based on eventlet.backdoor Copyright (c) 2005-2006, Bob Ippolito
from __future__ import print_function
import sys
from code import InteractiveConsole
from gevent import socket
from gevent.greenlet import Greenlet
from gevent.hub import PY3, PYPY, getcurrent
from gevent... | 29.175676 | 98 | 0.598194 | 515 | 4,318 | 4.84466 | 0.392233 | 0.009619 | 0.012024 | 0.014429 | 0.078156 | 0.0501 | 0 | 0 | 0 | 0 | 0 | 0.032938 | 0.296897 | 4,318 | 147 | 99 | 29.37415 | 0.788867 | 0.27698 | 0 | 0.235955 | 0 | 0 | 0.036658 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.134831 | false | 0.011236 | 0.123596 | 0.022472 | 0.348315 | 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 |
9ed839d6a98ae914dcbccc4b145b5eaa923e4f41 | 7,385 | py | Python | spark/par_decompress_audio.py | droyston/spectralize | 572770e7358acc3ec433470659759c17453409f2 | [
"MIT"
] | null | null | null | spark/par_decompress_audio.py | droyston/spectralize | 572770e7358acc3ec433470659759c17453409f2 | [
"MIT"
] | null | null | null | spark/par_decompress_audio.py | droyston/spectralize | 572770e7358acc3ec433470659759c17453409f2 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Wed Jun 17 16:12:56 2020
@author: dylanroyston
"""
# import/configure packages
import numpy as np
import pandas as pd
#import pyarrow as pa
import librosa
import librosa.display
from pathlib import Path
#import Ipython.display as ipd
#import matplotlib.pyp... | 27.867925 | 90 | 0.59499 | 908 | 7,385 | 4.610132 | 0.281938 | 0.0215 | 0.031056 | 0.012422 | 0.150979 | 0.13999 | 0.124701 | 0.124701 | 0.124701 | 0.103201 | 0 | 0.014404 | 0.294922 | 7,385 | 264 | 91 | 27.973485 | 0.789514 | 0.209208 | 0 | 0.12069 | 0 | 0 | 0.097981 | 0.030456 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025862 | false | 0.008621 | 0.155172 | 0 | 0.189655 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9eda27b08876015d63b9cfdc12be859142fbbd21 | 1,073 | py | Python | get_ip_list_ru_gov.py | gil9red/SimplePyScripts | c191ce08fbdeb29377639184579e392057945154 | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | get_ip_list_ru_gov.py | gil9red/SimplePyScripts | c191ce08fbdeb29377639184579e392057945154 | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | get_ip_list_ru_gov.py | gil9red/SimplePyScripts | c191ce08fbdeb29377639184579e392057945154 | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
"""
Скрипт выводит список ip государственных организаций.
"""
import ipaddress
import sys
import requests
rs = requests.get('https://jarib.github.io/anon-history/RuGovEdits/ru/latest/ranges.json')
# Проверка удачного запроса и полученных д... | 22.354167 | 90 | 0.665424 | 146 | 1,073 | 4.787671 | 0.527397 | 0.077253 | 0.065808 | 0.097282 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009467 | 0.212488 | 1,073 | 47 | 91 | 22.829787 | 0.817751 | 0.221808 | 0 | 0 | 0 | 0.05 | 0.258486 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.15 | 0 | 0.15 | 0.3 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9edc1088501805cae0cb1dc1f360911a6998aed9 | 1,337 | py | Python | test_collection.py | Rodrun/weatherguess | 468ae8f6484ee3e3e82262ae10d845fd2d9b4267 | [
"MIT"
] | null | null | null | test_collection.py | Rodrun/weatherguess | 468ae8f6484ee3e3e82262ae10d845fd2d9b4267 | [
"MIT"
] | null | null | null | test_collection.py | Rodrun/weatherguess | 468ae8f6484ee3e3e82262ae10d845fd2d9b4267 | [
"MIT"
] | null | null | null | import unittest
import requests
from collection import Collection
class TestCollection(unittest.TestCase):
def setUp(self):
# Get the sample JSON data
self.data = requests.get("http://samples.openweathermap.org/data/2.5/weather?zip=94040,us&appid=b6907d289e10d714a6e88b30761fae22").json()
... | 34.282051 | 145 | 0.635004 | 167 | 1,337 | 5 | 0.413174 | 0.095808 | 0.035928 | 0.046707 | 0.238323 | 0.173653 | 0.150898 | 0.05988 | 0 | 0 | 0 | 0.035857 | 0.249065 | 1,337 | 38 | 146 | 35.184211 | 0.795817 | 0.154076 | 0 | 0 | 0 | 0.047619 | 0.135721 | 0 | 0 | 0 | 0 | 0 | 0.285714 | 1 | 0.190476 | false | 0 | 0.142857 | 0 | 0.380952 | 0.047619 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9edd07604a3a97e4febf7283f02a7a1e61075cbb | 36,220 | py | Python | exot/util/misc.py | ETHZ-TEC/exot_eengine | 7b7ce6cb949e1b0a02e716b03f2f9af751713b29 | [
"BSD-3-Clause"
] | null | null | null | exot/util/misc.py | ETHZ-TEC/exot_eengine | 7b7ce6cb949e1b0a02e716b03f2f9af751713b29 | [
"BSD-3-Clause"
] | null | null | null | exot/util/misc.py | ETHZ-TEC/exot_eengine | 7b7ce6cb949e1b0a02e716b03f2f9af751713b29 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2015-2020, Swiss Federal Institute of Technology (ETH Zurich)
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# * Redistributions of source code must retain the above copyright... | 33.755825 | 158 | 0.592601 | 4,898 | 36,220 | 4.281135 | 0.124745 | 0.006677 | 0.012876 | 0.010873 | 0.329916 | 0.268921 | 0.225666 | 0.188135 | 0.167247 | 0.152129 | 0 | 0.006235 | 0.291496 | 36,220 | 1,072 | 159 | 33.787313 | 0.810888 | 0.398896 | 0 | 0.23991 | 0 | 0.004484 | 0.1263 | 0.006209 | 0 | 0 | 0 | 0 | 0.013453 | 1 | 0.100897 | false | 0.002242 | 0.047085 | 0.008969 | 0.273543 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ede197b4e22a537f288d32a4de554ea29c1ea06 | 1,222 | py | Python | 70_question/dynamic_programming/max_profit_with_k_transactions.py | alvinctk/google-tech-dev-guide | 9d7759bea1f44673c2de4f25a94b27368928a59f | [
"Apache-2.0"
] | 26 | 2019-06-07T05:29:47.000Z | 2022-03-19T15:32:27.000Z | 70_question/dynamic_programming/max_profit_with_k_transactions.py | alvinctk/google-tech-dev-guide | 9d7759bea1f44673c2de4f25a94b27368928a59f | [
"Apache-2.0"
] | null | null | null | 70_question/dynamic_programming/max_profit_with_k_transactions.py | alvinctk/google-tech-dev-guide | 9d7759bea1f44673c2de4f25a94b27368928a59f | [
"Apache-2.0"
] | 6 | 2019-10-10T06:39:28.000Z | 2020-05-12T19:50:55.000Z | def maxProfitWithKTransactions(prices, k):
n = len(prices)
profit = [[0]*n for _ in range(k+1)]
"""
t := number of transactions
d := day at which either buy/sell stock
profit[t][d] = max ( previous day profit = profit[t][d-1] ,
profit sold at this day + max(buy for th... | 31.333333 | 136 | 0.56383 | 183 | 1,222 | 3.606557 | 0.300546 | 0.063636 | 0.048485 | 0.084848 | 0.280303 | 0.234848 | 0.137879 | 0 | 0 | 0 | 0 | 0.032864 | 0.302782 | 1,222 | 38 | 137 | 32.157895 | 0.741784 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0 | 0 | 0.142857 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9edf6ecb3d424f1fd6e8e155154f4ecebc700938 | 4,149 | py | Python | main.py | rdmaulana/flask-smart-xls-clean | 8dde5b56c241312ab252964b159921acd6013839 | [
"MIT"
] | null | null | null | main.py | rdmaulana/flask-smart-xls-clean | 8dde5b56c241312ab252964b159921acd6013839 | [
"MIT"
] | null | null | null | main.py | rdmaulana/flask-smart-xls-clean | 8dde5b56c241312ab252964b159921acd6013839 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import io
import time
import uuid
from flask import Flask, render_template, request, redirect, url_for, Response, session, send_file, make_response, send_from_directory
from os.path import join, dirname, realpath
from werkzeug.wsgi import FileWrapper
app = Flask(__name__)
app.co... | 35.161017 | 134 | 0.612919 | 568 | 4,149 | 4.316901 | 0.28169 | 0.051387 | 0.028548 | 0.039967 | 0.183524 | 0.138662 | 0.109299 | 0.095024 | 0.095024 | 0.07708 | 0 | 0.010563 | 0.178597 | 4,149 | 118 | 135 | 35.161017 | 0.70892 | 0.003133 | 0 | 0 | 0 | 0 | 0.22104 | 0.028295 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054348 | false | 0 | 0.086957 | 0.01087 | 0.195652 | 0.021739 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9edfcae85303a4e73d41bdae85aeda75e4c87673 | 2,817 | py | Python | scripts/wapo/wapo_link_graph_from_mongo.py | feup-infolab/army-ant | 7b33120d5160f73d7a41a05e6336489c917fb75c | [
"BSD-3-Clause"
] | 5 | 2018-01-18T14:11:52.000Z | 2020-10-23T16:02:25.000Z | scripts/wapo/wapo_link_graph_from_mongo.py | feup-infolab/army-ant | 7b33120d5160f73d7a41a05e6336489c917fb75c | [
"BSD-3-Clause"
] | 10 | 2018-02-02T20:19:36.000Z | 2020-10-05T08:46:36.000Z | scripts/wapo/wapo_link_graph_from_mongo.py | feup-infolab/army-ant | 7b33120d5160f73d7a41a05e6336489c917fb75c | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
#
# wapo_link_graph_from_mongo.py
# José Devezas <joseluisdevezas@gmail.com>
# 2019-02-05
import logging
import sys
import warnings
import networkx as nx
from bs4 import BeautifulSoup
from pymongo import MongoClient
logging.basicConfig(
format='%(asctime)s wapo_link_graph_from_mongo: %(lev... | 26.083333 | 108 | 0.615903 | 390 | 2,817 | 4.284615 | 0.338462 | 0.04608 | 0.062837 | 0.020347 | 0.228007 | 0.102334 | 0.102334 | 0.102334 | 0.078396 | 0.078396 | 0 | 0.014734 | 0.253106 | 2,817 | 107 | 109 | 26.327103 | 0.779468 | 0.048278 | 0 | 0.164179 | 0 | 0 | 0.179813 | 0.010093 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014925 | false | 0 | 0.089552 | 0 | 0.104478 | 0.014925 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ee566ce8a227cbd2a762122ce0690fc72e66ca6 | 7,540 | py | Python | designScripts/vernierMask.py | smartalecH/BYUqot | 5b24759c4a100086937795a80d2eb6597e611819 | [
"MIT"
] | 5 | 2019-03-26T17:12:25.000Z | 2021-12-27T18:05:52.000Z | designScripts/vernierMask.py | smartalecH/BYUqot | 5b24759c4a100086937795a80d2eb6597e611819 | [
"MIT"
] | 5 | 2018-05-30T21:05:36.000Z | 2018-08-16T05:16:40.000Z | designScripts/vernierMask.py | smartalecH/BYUqot | 5b24759c4a100086937795a80d2eb6597e611819 | [
"MIT"
] | 5 | 2018-05-30T02:54:07.000Z | 2020-08-16T17:18:38.000Z | # ------------------------------------------------------------------ #
# vernierMask.py
# ------------------------------------------------------------------ #
#
# A mask design used to align the 3D printer to a silicon photonic chip
#
# ------------------------------------------------------------------ #
# VERSION HIST... | 35.233645 | 96 | 0.554377 | 716 | 7,540 | 5.826816 | 0.324022 | 0.013423 | 0.018217 | 0.026846 | 0.198226 | 0.198226 | 0.171381 | 0.126079 | 0.1093 | 0.1093 | 0 | 0.021831 | 0.185942 | 7,540 | 213 | 97 | 35.399061 | 0.657869 | 0.41565 | 0 | 0.087912 | 0 | 0 | 0.016275 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054945 | false | 0 | 0.054945 | 0 | 0.164835 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ee5da5b7c789afc93423e16612fb9f6de97baba | 3,519 | py | Python | src/programy/brainfactory.py | motazsaad/fit-bot-fb-clt | 580477aa1ec91855b621d9ae276f2705962f6a87 | [
"MIT"
] | null | null | null | src/programy/brainfactory.py | motazsaad/fit-bot-fb-clt | 580477aa1ec91855b621d9ae276f2705962f6a87 | [
"MIT"
] | null | null | null | src/programy/brainfactory.py | motazsaad/fit-bot-fb-clt | 580477aa1ec91855b621d9ae276f2705962f6a87 | [
"MIT"
] | 4 | 2019-04-01T15:42:23.000Z | 2020-11-05T08:14:27.000Z | """
Copyright (c) 2016-2019 Keith Sterling http://www.keithsterling.com
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated
documentation files (the "Software"), to deal in the Software without restriction, including without limitation
the rights to use, copy, m... | 34.165049 | 127 | 0.680591 | 417 | 3,519 | 5.573141 | 0.376499 | 0.060241 | 0.036575 | 0.023236 | 0.101549 | 0.101549 | 0.101549 | 0.049914 | 0.049914 | 0.049914 | 0 | 0.00304 | 0.25206 | 3,519 | 102 | 128 | 34.5 | 0.879939 | 0.310031 | 0 | 0.296875 | 0 | 0 | 0.004545 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1875 | false | 0.015625 | 0.046875 | 0.03125 | 0.421875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ee7fc2118d9db373e3131dcd7ab5c6417b15d3a | 5,191 | py | Python | conans/search/binary_html_table.py | matthiasng/conan | 634eadc319da928084633a344d42785edccb8d6c | [
"MIT"
] | 2 | 2019-01-09T10:01:29.000Z | 2019-01-09T10:01:31.000Z | conans/search/binary_html_table.py | matthiasng/conan | 634eadc319da928084633a344d42785edccb8d6c | [
"MIT"
] | 1 | 2019-01-09T10:09:41.000Z | 2019-01-09T10:09:41.000Z | conans/search/binary_html_table.py | matthiasng/conan | 634eadc319da928084633a344d42785edccb8d6c | [
"MIT"
] | null | null | null | import os
from collections import OrderedDict, defaultdict
from conans.model.ref import PackageReference
from conans.util.files import save
class RowResult(object):
def __init__(self, remote, reference, data):
self.remote = remote
self.reference = reference
self._data = data
@propert... | 33.275641 | 98 | 0.571181 | 568 | 5,191 | 5.102113 | 0.258803 | 0.018979 | 0.024155 | 0.019324 | 0.072464 | 0.072464 | 0.055901 | 0.040718 | 0.040718 | 0.040718 | 0 | 0.003351 | 0.310152 | 5,191 | 155 | 99 | 33.490323 | 0.80592 | 0.110961 | 0 | 0.150442 | 0 | 0 | 0.048829 | 0 | 0 | 0 | 0 | 0 | 0.00885 | 1 | 0.106195 | false | 0 | 0.035398 | 0.035398 | 0.238938 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9eec590065dcf6f8cc85b4d213651d2aa3e487f2 | 1,140 | py | Python | irancovid-19.py | AmiiirCom/irancovid-19 | c8871830e9344c5bf17043c802195911127bc532 | [
"MIT"
] | null | null | null | irancovid-19.py | AmiiirCom/irancovid-19 | c8871830e9344c5bf17043c802195911127bc532 | [
"MIT"
] | null | null | null | irancovid-19.py | AmiiirCom/irancovid-19 | c8871830e9344c5bf17043c802195911127bc532 | [
"MIT"
] | null | null | null | from covid import Covid
import json
covid = Covid(source="worldometers")
covid.get_data()
iran_casses = covid.get_status_by_country_name("iran")
confirmed = iran_casses['confirmed']
new_cases = iran_casses['new_cases']
deaths = iran_casses['deaths']
recovered = iran_casses['recovered']
active = iran_casses['active']... | 30.810811 | 71 | 0.764035 | 151 | 1,140 | 5.331126 | 0.198676 | 0.161491 | 0.130435 | 0.099379 | 0.401242 | 0.356522 | 0.201242 | 0.201242 | 0 | 0 | 0 | 0 | 0.114912 | 1,140 | 37 | 72 | 30.810811 | 0.79782 | 0 | 0 | 0 | 0 | 0 | 0.273444 | 0.122699 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.0625 | 0 | 0.0625 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9eedcf612c173937e475b9b20ab18a1677cc7feb | 2,758 | py | Python | verres/optim/schedule.py | csxeba/Verres | 04230d22b7791f84d86b9eb2272a6314a27580ed | [
"MIT"
] | null | null | null | verres/optim/schedule.py | csxeba/Verres | 04230d22b7791f84d86b9eb2272a6314a27580ed | [
"MIT"
] | null | null | null | verres/optim/schedule.py | csxeba/Verres | 04230d22b7791f84d86b9eb2272a6314a27580ed | [
"MIT"
] | null | null | null | from typing import Dict
import numpy as np
import tensorflow as tf
import verres as V
class ConstantSchedule(tf.keras.optimizers.schedules.LearningRateSchedule):
def __init__(self, learning_rate: float):
super().__init__()
self.learning_rate = float(learning_rate)
def __call__(self, step):... | 32.069767 | 118 | 0.62074 | 341 | 2,758 | 4.771261 | 0.293255 | 0.027658 | 0.055317 | 0.024585 | 0.175784 | 0.084819 | 0.084819 | 0.084819 | 0.084819 | 0.084819 | 0 | 0.005063 | 0.283901 | 2,758 | 85 | 119 | 32.447059 | 0.818734 | 0 | 0 | 0.190476 | 0 | 0 | 0.073241 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.126984 | false | 0.015873 | 0.063492 | 0.031746 | 0.269841 | 0.015873 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9eef48e8177814194dd2d1510e39357b5d13bd02 | 4,383 | py | Python | run.py | SamChatfield/final-year-project | 9d1ae2cb3009ffbff89cb438cfcde855db8a53ac | [
"MIT"
] | null | null | null | run.py | SamChatfield/final-year-project | 9d1ae2cb3009ffbff89cb438cfcde855db8a53ac | [
"MIT"
] | null | null | null | run.py | SamChatfield/final-year-project | 9d1ae2cb3009ffbff89cb438cfcde855db8a53ac | [
"MIT"
] | null | null | null | import json
import string
from datetime import datetime
import deap
import numpy as np
import hmm
from discriminator import Discriminator
from ea import EA
import random_search
DEFAULT_PARAMS = {
# Discriminator CNN model
"model": "CNNModel3",
# Algorithm Parameters
"states": 5,
"symbols": 5,
... | 26.72561 | 98 | 0.6094 | 618 | 4,383 | 4.072816 | 0.262136 | 0.033373 | 0.023838 | 0.027811 | 0.156138 | 0.126738 | 0.090187 | 0.0294 | 0.0294 | 0.0294 | 0 | 0.026911 | 0.253936 | 4,383 | 163 | 99 | 26.889571 | 0.742813 | 0.087383 | 0 | 0.032 | 0 | 0.008 | 0.201253 | 0.016291 | 0 | 0 | 0 | 0 | 0.064 | 1 | 0.032 | false | 0 | 0.072 | 0 | 0.12 | 0.064 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ef2b9fdb256c9db58c16d3d792f230772a8e948 | 2,174 | py | Python | rrc_example_package/benchmark_rrc/tools/plot/exp_align_obj.py | wq13552463699/TriFinger_Research | 6ddfab4531cb4ba05a0fbb41227a734295dce378 | [
"BSD-3-Clause"
] | 12 | 2021-05-06T18:00:21.000Z | 2022-01-11T14:23:22.000Z | rrc_example_package/benchmark_rrc/tools/plot/exp_align_obj.py | wq13552463699/TriFinger_Research | 6ddfab4531cb4ba05a0fbb41227a734295dce378 | [
"BSD-3-Clause"
] | 3 | 2021-06-03T16:06:01.000Z | 2021-08-15T13:40:09.000Z | rrc_example_package/benchmark_rrc/tools/plot/exp_align_obj.py | wq13552463699/TriFinger_Research | 6ddfab4531cb4ba05a0fbb41227a734295dce378 | [
"BSD-3-Clause"
] | 4 | 2021-05-12T02:34:34.000Z | 2021-07-18T19:54:50.000Z | #!/usr/bin/env python3
'''
This code traverses a directories of evaluation log files and
record evaluation scores as well as plotting the results.
'''
import os
import argparse
import json
import copy
from shutil import copyfile
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from utils import... | 35.639344 | 110 | 0.689512 | 310 | 2,174 | 4.619355 | 0.425806 | 0.075419 | 0.058659 | 0.039804 | 0.082402 | 0.041899 | 0 | 0 | 0 | 0 | 0 | 0.006948 | 0.205612 | 2,174 | 60 | 111 | 36.233333 | 0.822235 | 0.25207 | 0 | 0 | 0 | 0 | 0.219144 | 0.014484 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.264706 | 0 | 0.323529 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ef2bd5f0fee2640fb7fcf65e291ea514c7f1058 | 286 | py | Python | test cases/common/64 custom header generator/makeheader.py | objectx/meson | c0f097c0c74551972f7ec2203cd960824984f058 | [
"Apache-2.0"
] | null | null | null | test cases/common/64 custom header generator/makeheader.py | objectx/meson | c0f097c0c74551972f7ec2203cd960824984f058 | [
"Apache-2.0"
] | null | null | null | test cases/common/64 custom header generator/makeheader.py | objectx/meson | c0f097c0c74551972f7ec2203cd960824984f058 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# NOTE: this file does not have the executable bit set. This tests that
# Meson can automatically parse shebang lines.
import sys
template = '#define RET_VAL %s\n'
output = template % (open(sys.argv[1]).readline().strip())
open(sys.argv[2], 'w').write(output)
| 26 | 71 | 0.713287 | 46 | 286 | 4.413043 | 0.847826 | 0.068966 | 0.108374 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.012195 | 0.13986 | 286 | 10 | 72 | 28.6 | 0.813008 | 0.475524 | 0 | 0 | 0 | 0 | 0.142857 | 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 |
9ef65f5bf372723d5444efb6cd95a0880cc13cef | 7,366 | py | Python | upvote/gae/shared/common/json_utils_test.py | cclauss/upvote | 9d526fec72690cde1575dbd32dacf68cbbab81d1 | [
"Apache-2.0"
] | null | null | null | upvote/gae/shared/common/json_utils_test.py | cclauss/upvote | 9d526fec72690cde1575dbd32dacf68cbbab81d1 | [
"Apache-2.0"
] | null | null | null | upvote/gae/shared/common/json_utils_test.py | cclauss/upvote | 9d526fec72690cde1575dbd32dacf68cbbab81d1 | [
"Apache-2.0"
] | null | null | null | # Copyright 2017 Google Inc. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... | 33.481818 | 79 | 0.691827 | 878 | 7,366 | 5.654897 | 0.255125 | 0.04431 | 0.100705 | 0.058409 | 0.604431 | 0.570393 | 0.554683 | 0.513998 | 0.513998 | 0.513998 | 0 | 0.043745 | 0.180695 | 7,366 | 219 | 80 | 33.634703 | 0.778956 | 0.133179 | 0 | 0.47651 | 0 | 0 | 0.13874 | 0.040315 | 0 | 0 | 0 | 0 | 0.040268 | 1 | 0.154362 | false | 0 | 0.04698 | 0 | 0.255034 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ef7f25002d6a0233c11be0350ae657d327330f8 | 3,728 | py | Python | app.py | YukiNagat0/Blog | 6f01d1a3e73f1f865b5d22dbdbb27a5acfb3e937 | [
"MIT"
] | 1 | 2021-06-24T17:48:37.000Z | 2021-06-24T17:48:37.000Z | app.py | YukiNagat0/Blog | 6f01d1a3e73f1f865b5d22dbdbb27a5acfb3e937 | [
"MIT"
] | null | null | null | app.py | YukiNagat0/Blog | 6f01d1a3e73f1f865b5d22dbdbb27a5acfb3e937 | [
"MIT"
] | null | null | null | from os import path
from typing import Union
from datetime import datetime
from flask import Flask, request, redirect, render_template
from flask_wtf import CSRFProtect
from werkzeug.utils import secure_filename
from data import db_session
from data.posts import Posts
from forms.edit_post_form import EditPostForm
... | 25.888889 | 117 | 0.668455 | 509 | 3,728 | 4.630648 | 0.208251 | 0.043275 | 0.038608 | 0.025456 | 0.358082 | 0.328384 | 0.30717 | 0.26644 | 0.26644 | 0.163768 | 0 | 0.00402 | 0.199303 | 3,728 | 143 | 118 | 26.06993 | 0.785595 | 0.021996 | 0 | 0.347368 | 0 | 0 | 0.131044 | 0.02967 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063158 | false | 0 | 0.094737 | 0 | 0.242105 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ef85b894eb9c57e729d7cdbf2e496c34efcf07f | 23,685 | py | Python | test/test_automl/test_automl.py | ihounie/auto-sklearn | 6a72f0df60b0c66ad75b0100d8d22c07da6217bb | [
"BSD-3-Clause"
] | null | null | null | test/test_automl/test_automl.py | ihounie/auto-sklearn | 6a72f0df60b0c66ad75b0100d8d22c07da6217bb | [
"BSD-3-Clause"
] | null | null | null | test/test_automl/test_automl.py | ihounie/auto-sklearn | 6a72f0df60b0c66ad75b0100d8d22c07da6217bb | [
"BSD-3-Clause"
] | 1 | 2021-04-06T09:38:12.000Z | 2021-04-06T09:38:12.000Z | # -*- encoding: utf-8 -*-
import os
import pickle
import sys
import time
import glob
import unittest
import unittest.mock
import numpy as np
import pandas as pd
import sklearn.datasets
from smac.scenario.scenario import Scenario
from smac.facade.roar_facade import ROAR
from autosklearn.util.backend import Backend
fro... | 39.343854 | 94 | 0.609246 | 2,672 | 23,685 | 5.100299 | 0.16018 | 0.044027 | 0.036249 | 0.041972 | 0.519739 | 0.477326 | 0.435134 | 0.399252 | 0.37445 | 0.339081 | 0 | 0.012374 | 0.307368 | 23,685 | 601 | 95 | 39.409318 | 0.818348 | 0.080557 | 0 | 0.375271 | 0 | 0 | 0.083961 | 0.025493 | 0 | 0 | 0 | 0.001664 | 0.091106 | 1 | 0.041215 | false | 0.002169 | 0.047722 | 0.002169 | 0.101952 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ef906903676953e2a8a6d553c8fc0e08426873c | 556 | py | Python | estrutura-repeticao-while/ex062.py | TacilioRodriguez/Python | 0b98dc8336e014046c579b387013b2871024e3d0 | [
"Unlicense"
] | null | null | null | estrutura-repeticao-while/ex062.py | TacilioRodriguez/Python | 0b98dc8336e014046c579b387013b2871024e3d0 | [
"Unlicense"
] | null | null | null | estrutura-repeticao-while/ex062.py | TacilioRodriguez/Python | 0b98dc8336e014046c579b387013b2871024e3d0 | [
"Unlicense"
] | null | null | null | """
Melhore o Desafio 061, perguntando para o usuário se ele quer mostrar mais alguns termos.
O programa encerra quando ele disser que quer mostrar 0 termos.
"""
primeiro = int(input('Digite o termo: '))
razao = int(input('Digite a razão: '))
termo = primeiro
cont = 1
total = 0
mais = 10
while mais != 0:
total = t... | 27.8 | 89 | 0.633094 | 79 | 556 | 4.455696 | 0.506329 | 0.09375 | 0.079545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023585 | 0.23741 | 556 | 20 | 90 | 27.8 | 0.806604 | 0.27518 | 0 | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 |
9ef958e7d381e2efbcf979fbddc497610f9580d1 | 3,487 | py | Python | Udemy_PythonBootcamp/Sec15_WebScraping.py | gonzalosc2/LearningPython | 0210d4cbbb5e154f12007b8e8f825fd3d0022be0 | [
"MIT"
] | null | null | null | Udemy_PythonBootcamp/Sec15_WebScraping.py | gonzalosc2/LearningPython | 0210d4cbbb5e154f12007b8e8f825fd3d0022be0 | [
"MIT"
] | null | null | null | Udemy_PythonBootcamp/Sec15_WebScraping.py | gonzalosc2/LearningPython | 0210d4cbbb5e154f12007b8e8f825fd3d0022be0 | [
"MIT"
] | null | null | null | ####################################
# author: Gonzalo Salazar
# course: 2020 Complete Python Bootcamps: From Zero to Hero in Python
# purpose: lecture notes
# description: Section 15 - Web Scraping
# other: N/A
####################################
# RULES
# 1. always try to get permission before scraping, otherwise I... | 32.287037 | 135 | 0.694006 | 533 | 3,487 | 4.485929 | 0.420263 | 0.054371 | 0.033459 | 0.01422 | 0.120452 | 0.120452 | 0.0711 | 0.049352 | 0.049352 | 0.049352 | 0 | 0.012745 | 0.167479 | 3,487 | 107 | 136 | 32.588785 | 0.810885 | 0.503298 | 0 | 0.090909 | 0 | 0.022727 | 0.253556 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.045455 | 0 | 0.045455 | 0.022727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ef987b5b2fc09a91874ef390e457aed66cdf6c0 | 10,220 | py | Python | anchore_engine/analyzers/modules/33_binary_packages.py | dspalmer99/anchore-engine | 8c61318be6fec5d767426fa4ccd98472cc85b5cd | [
"Apache-2.0"
] | null | null | null | anchore_engine/analyzers/modules/33_binary_packages.py | dspalmer99/anchore-engine | 8c61318be6fec5d767426fa4ccd98472cc85b5cd | [
"Apache-2.0"
] | null | null | null | anchore_engine/analyzers/modules/33_binary_packages.py | dspalmer99/anchore-engine | 8c61318be6fec5d767426fa4ccd98472cc85b5cd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
import sys
import os
import re
import json
import traceback
import pkg_resources
import tarfile
from collections import OrderedDict
import anchore_engine.analyzers.utils, anchore_engine.utils
def get_python_evidence(tfl, member, memberhash, evidence):
global binary_package_el
full... | 41.044177 | 148 | 0.545108 | 1,124 | 10,220 | 4.846085 | 0.19395 | 0.007711 | 0.040389 | 0.049569 | 0.479897 | 0.449238 | 0.385717 | 0.337066 | 0.29429 | 0.263815 | 0 | 0.00782 | 0.324364 | 10,220 | 248 | 149 | 41.209677 | 0.781028 | 0.037867 | 0 | 0.387255 | 0 | 0.009804 | 0.140865 | 0.031552 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014706 | false | 0 | 0.04902 | 0 | 0.063725 | 0.04902 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9ef9c33373ed6286394fc6556d56b0671f5ed0ac | 20,610 | py | Python | SF-home-price-prediction/src/preparation.py | apthomas/SF-home-price-prediction | 448dac93ef26022bc81fab4665a12f592f9556a1 | [
"MIT"
] | null | null | null | SF-home-price-prediction/src/preparation.py | apthomas/SF-home-price-prediction | 448dac93ef26022bc81fab4665a12f592f9556a1 | [
"MIT"
] | null | null | null | SF-home-price-prediction/src/preparation.py | apthomas/SF-home-price-prediction | 448dac93ef26022bc81fab4665a12f592f9556a1 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import csv
import urllib.request
import json
from datetime import datetime
from datetime import timedelta
from sklearn.preprocessing import MinMaxScaler
import web_scrapers
import os
def load_real_estate_data(filename, state_attr, state):
df = pd.read_csv(filename, encoding... | 51.654135 | 214 | 0.655313 | 2,771 | 20,610 | 4.636232 | 0.133165 | 0.037986 | 0.034561 | 0.04141 | 0.621779 | 0.54612 | 0.474741 | 0.415895 | 0.372616 | 0.332451 | 0 | 0.023631 | 0.230034 | 20,610 | 399 | 215 | 51.654135 | 0.785935 | 0.050558 | 0 | 0.337621 | 0 | 0.028939 | 0.310465 | 0.045945 | 0 | 0 | 0 | 0 | 0 | 1 | 0.07074 | false | 0 | 0.032154 | 0 | 0.163987 | 0.012862 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9efa004ed72e268641173fcd54de72edaac3595f | 4,858 | py | Python | jupyter_book/yaml.py | akhmerov/jupyter-book | 06b8134af1266655717df474438bed2569b14efe | [
"BSD-3-Clause"
] | 1 | 2021-04-26T03:21:49.000Z | 2021-04-26T03:21:49.000Z | jupyter_book/yaml.py | akhmerov/jupyter-book | 06b8134af1266655717df474438bed2569b14efe | [
"BSD-3-Clause"
] | 1 | 2020-08-26T08:27:27.000Z | 2020-08-27T18:00:42.000Z | jupyter_book/yaml.py | phaustin/jupyter-book | 674b222d44cc1acb858804782cee4549eef03fb1 | [
"BSD-3-Clause"
] | null | null | null | """A small sphinx extension to let you configure a site with YAML metadata."""
from pathlib import Path
# Transform a "Jupyter Book" YAML configuration file into a Sphinx configuration file.
# This is so that we can choose more user-friendly words for things than Sphinx uses.
# e.g., 'logo' instead of 'html_logo'.
# ... | 37.083969 | 87 | 0.628036 | 564 | 4,858 | 5.189716 | 0.303191 | 0.065596 | 0.025965 | 0.018449 | 0.011958 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000551 | 0.252573 | 4,858 | 130 | 88 | 37.369231 | 0.805563 | 0.182174 | 0 | 0.045455 | 0 | 0 | 0.239827 | 0.024415 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022727 | false | 0 | 0.011364 | 0 | 0.045455 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9efb34b3c08bdbb3ec7a611587c6c1763f510bd0 | 5,759 | py | Python | ScriptedAgent.py | RaphaelRoyerRivard/Supervised-End-to-end-Weight-sharing-for-StarCraft-II | 17171fc95c8385920ab7cab80bd4681ce1bff799 | [
"Apache-2.0"
] | null | null | null | ScriptedAgent.py | RaphaelRoyerRivard/Supervised-End-to-end-Weight-sharing-for-StarCraft-II | 17171fc95c8385920ab7cab80bd4681ce1bff799 | [
"Apache-2.0"
] | null | null | null | ScriptedAgent.py | RaphaelRoyerRivard/Supervised-End-to-end-Weight-sharing-for-StarCraft-II | 17171fc95c8385920ab7cab80bd4681ce1bff799 | [
"Apache-2.0"
] | null | null | null | __author__ = 'Tony Beltramelli - www.tonybeltramelli.com'
# scripted agents taken from PySC2, credits to DeepMind
# https://github.com/deepmind/pysc2/blob/master/pysc2/agents/scripted_agent.py
import numpy as np
import uuid
from pysc2.agents import base_agent
from pysc2.lib import actions
from pysc2.lib import featur... | 39.445205 | 133 | 0.576489 | 630 | 5,759 | 4.944444 | 0.196825 | 0.080899 | 0.044944 | 0.058427 | 0.460353 | 0.415088 | 0.359872 | 0.352167 | 0.352167 | 0.339647 | 0 | 0.007183 | 0.323146 | 5,759 | 145 | 134 | 39.717241 | 0.791945 | 0.048272 | 0 | 0.478992 | 0 | 0 | 0.045471 | 0.0042 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042017 | false | 0 | 0.042017 | 0 | 0.134454 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9efb77347037fbe157767ce33cce2fb416895aa6 | 5,602 | py | Python | benchmark/test_tpch.py | serverless-analytics/dask-distributed-vanilla | b4b135ee956dbf9e64d10712558a88eafa080675 | [
"BSD-3-Clause"
] | null | null | null | benchmark/test_tpch.py | serverless-analytics/dask-distributed-vanilla | b4b135ee956dbf9e64d10712558a88eafa080675 | [
"BSD-3-Clause"
] | null | null | null | benchmark/test_tpch.py | serverless-analytics/dask-distributed-vanilla | b4b135ee956dbf9e64d10712558a88eafa080675 | [
"BSD-3-Clause"
] | null | null | null | import time
import sys
import dask
from dask.distributed import (
wait,
futures_of,
Client,
)
from tpch import loaddata, queries
#from benchmarks import utils
# Paths or URLs to the TPC-H tables.
#table_paths = {
# 'CUSTOMER': 'hdfs://bu-23-115:9000/tpch/customer.tbl',
# 'LINEITEM': 'hdfs://bu-... | 35.0125 | 87 | 0.593181 | 626 | 5,602 | 5.161342 | 0.209265 | 0.034045 | 0.019808 | 0.027236 | 0.236459 | 0.208604 | 0.16156 | 0.028474 | 0 | 0 | 0 | 0.027851 | 0.250089 | 5,602 | 159 | 88 | 35.232704 | 0.741252 | 0.275794 | 0 | 0.056604 | 0 | 0 | 0.17238 | 0.04918 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037736 | false | 0 | 0.04717 | 0 | 0.113208 | 0.141509 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9efc2be79705e76de2137bab964886217cb24983 | 3,582 | py | Python | pika/adapters/tornado_connection.py | hugovk/pika | 03542ef616a2a849e8bfb0845427f50e741ea0c6 | [
"BSD-3-Clause"
] | 1 | 2019-08-28T10:10:56.000Z | 2019-08-28T10:10:56.000Z | pika/adapters/tornado_connection.py | goupper/pika | e2f26db4f41ac7ea6bdc50964a766472460dce4a | [
"BSD-3-Clause"
] | null | null | null | pika/adapters/tornado_connection.py | goupper/pika | e2f26db4f41ac7ea6bdc50964a766472460dce4a | [
"BSD-3-Clause"
] | null | null | null | """Use pika with the Tornado IOLoop
"""
import logging
from tornado import ioloop
from pika.adapters.utils import nbio_interface, selector_ioloop_adapter
from pika.adapters import base_connection
LOGGER = logging.getLogger(__name__)
class TornadoConnection(base_connection.BaseConnection):
"""The TornadoConne... | 38.934783 | 80 | 0.634283 | 354 | 3,582 | 6.180791 | 0.319209 | 0.021938 | 0.059415 | 0.034735 | 0.076782 | 0.076782 | 0.076782 | 0.076782 | 0.076782 | 0.076782 | 0 | 0 | 0.308766 | 3,582 | 91 | 81 | 39.362637 | 0.883683 | 0.373534 | 0 | 0.041667 | 0 | 0 | 0.035855 | 0.01277 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.083333 | 0 | 0.208333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7300c97c38a22ec9df0ea9ea6a865bb5bd5120e7 | 1,993 | py | Python | utilityFiles/createValidationDatasetFromXYTrainWithCandidates.py | jmfinelli/JavaNeuralDecompiler | fb914fcf4518815a4d00061b562617fc25e2f2b4 | [
"Apache-2.0"
] | 1 | 2021-06-30T12:50:28.000Z | 2021-06-30T12:50:28.000Z | utilityFiles/createValidationDatasetFromXYTrainWithCandidates.py | jmfinelli/JavaNeuralDecompiler | fb914fcf4518815a4d00061b562617fc25e2f2b4 | [
"Apache-2.0"
] | null | null | null | utilityFiles/createValidationDatasetFromXYTrainWithCandidates.py | jmfinelli/JavaNeuralDecompiler | fb914fcf4518815a4d00061b562617fc25e2f2b4 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import os.path
length_switch = True
max_body_length = 50
process_candidates = os.path.exists('./datasets/candidates.output')
x_train = open('./datasets/x_train').readlines()
x_train = [x.rstrip('\n') for x in x_train]
y_train = open('./datasets/y_train').readlines()
y_train = [x.rstrip('\n') for x... | 39.078431 | 100 | 0.697441 | 290 | 1,993 | 4.613793 | 0.227586 | 0.089686 | 0.041854 | 0.057549 | 0.292227 | 0.292227 | 0.260837 | 0.201046 | 0.127803 | 0.127803 | 0 | 0.005734 | 0.124937 | 1,993 | 51 | 101 | 39.078431 | 0.761468 | 0.035625 | 0 | 0.052632 | 0 | 0 | 0.218636 | 0.104112 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.052632 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7303f0aa47265452a8086f8bcf4551e8db1e3810 | 7,746 | py | Python | src/Quiet.X.Tests/i2c_test.py | callwyat/Quiet-Firmware | 864c210e44d368a4a683704841067717ebc8ac43 | [
"MIT"
] | null | null | null | src/Quiet.X.Tests/i2c_test.py | callwyat/Quiet-Firmware | 864c210e44d368a4a683704841067717ebc8ac43 | [
"MIT"
] | null | null | null | src/Quiet.X.Tests/i2c_test.py | callwyat/Quiet-Firmware | 864c210e44d368a4a683704841067717ebc8ac43 | [
"MIT"
] | null | null | null | from quiet_coms import find_quiet_ports
from quiet import Quiet
import time
if 'EXIT_ON_FAIL' not in locals():
VERBOSE = True
EXIT_ON_FAIL = True
class QuietI2C(Quiet):
def __init__(self, coms, **kargs) -> None:
Quiet.__init__(self, coms, **kargs)
def raw_write(self, addr: int, data: bytearra... | 29.340909 | 113 | 0.631423 | 1,070 | 7,746 | 4.317757 | 0.162617 | 0.050216 | 0.045022 | 0.048485 | 0.50974 | 0.40974 | 0.334848 | 0.23658 | 0.208225 | 0.158874 | 0 | 0.055209 | 0.235347 | 7,746 | 263 | 114 | 29.452471 | 0.724802 | 0.005293 | 0 | 0.363128 | 0 | 0.005587 | 0.214258 | 0.038956 | 0 | 0 | 0.032723 | 0 | 0 | 1 | 0.106145 | false | 0.022346 | 0.01676 | 0.005587 | 0.145251 | 0.067039 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7304d96eed7cd6d1a985ffc90a2d6a94ba9983b7 | 716 | py | Python | WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/Overflow/_Data-Structures/binary-tree/binary-tree-tilt.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | 5 | 2021-06-02T23:44:25.000Z | 2021-12-27T16:21:57.000Z | WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/Overflow/_Data-Structures/binary-tree/binary-tree-tilt.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | 22 | 2021-05-31T01:33:25.000Z | 2021-10-18T18:32:39.000Z | WEEKS/CD_Sata-Structures/_RESOURCES/python-prac/Overflow/_Data-Structures/binary-tree/binary-tree-tilt.py | webdevhub42/Lambda | b04b84fb5b82fe7c8b12680149e25ae0d27a0960 | [
"MIT"
] | 3 | 2021-06-19T03:37:47.000Z | 2021-08-31T00:49:51.000Z | # Source : https://leetcode.com/problems/binary-tree-tilt/description/
# Date : 2017-12-26
# Definition for a binary tree node.
# class TreeNode:
# def __init__(self, x):
# self.val = x
# self.left = None
# self.right = None
class Solution:
def findTilt(self, root):
"""
... | 21.058824 | 70 | 0.540503 | 84 | 716 | 4.559524 | 0.47619 | 0.101828 | 0.133159 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021505 | 0.350559 | 716 | 33 | 71 | 21.69697 | 0.802151 | 0.379888 | 0 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0 | 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 |
7305e3962fe9733cd02f16a567ab4d4b8d8a9743 | 7,581 | py | Python | kerastuner/engine/tuner_utils.py | krantirk/keras-tuner | fbc34866bf4e7ff1d60bf8c341a9325b9d5429b3 | [
"Apache-2.0"
] | 1 | 2019-07-12T17:17:06.000Z | 2019-07-12T17:17:06.000Z | kerastuner/engine/tuner_utils.py | nishantsbi/keras-tuner | fbc34866bf4e7ff1d60bf8c341a9325b9d5429b3 | [
"Apache-2.0"
] | null | null | null | kerastuner/engine/tuner_utils.py | nishantsbi/keras-tuner | fbc34866bf4e7ff1d60bf8c341a9325b9d5429b3 | [
"Apache-2.0"
] | 1 | 2020-01-02T04:07:22.000Z | 2020-01-02T04:07:22.000Z | # Copyright 2019 The Keras Tuner Authors
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 33.544248 | 78 | 0.626962 | 935 | 7,581 | 4.856684 | 0.26738 | 0.019819 | 0.02004 | 0.014975 | 0.165162 | 0.084563 | 0.060339 | 0.044924 | 0 | 0 | 0 | 0.007097 | 0.275162 | 7,581 | 225 | 79 | 33.693333 | 0.81929 | 0.122939 | 0 | 0.082278 | 0 | 0 | 0.05248 | 0 | 0 | 0 | 0 | 0.004444 | 0 | 1 | 0.126582 | false | 0 | 0.082278 | 0.006329 | 0.265823 | 0.006329 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7307b7da6fb6d2b5a5aa27d12b5f25e31c28bd7c | 319 | py | Python | write/5_json_writer.py | pavlovprojects/python_qa_test_data | 4066f73c83cdd4ace9d6150726a578c0326daf94 | [
"MIT"
] | null | null | null | write/5_json_writer.py | pavlovprojects/python_qa_test_data | 4066f73c83cdd4ace9d6150726a578c0326daf94 | [
"MIT"
] | null | null | null | write/5_json_writer.py | pavlovprojects/python_qa_test_data | 4066f73c83cdd4ace9d6150726a578c0326daf94 | [
"MIT"
] | null | null | null | import json
data = {
"users": [
{"Name": "Dominator", "skill": 100, "gold": 99999, "weapons": ['Sword', 'Atomic Laser']},
{"Name": "Looser", "skill": 1, "gold": -100000, "weapons": [None, None, None]},
]
}
with open("example.json", "w") as f:
s = json.dumps(data, indent=4)
f.write(s)
| 24.538462 | 97 | 0.526646 | 40 | 319 | 4.2 | 0.725 | 0.095238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065041 | 0.22884 | 319 | 12 | 98 | 26.583333 | 0.617886 | 0 | 0 | 0 | 0 | 0 | 0.282132 | 0 | 0 | 0 | 0 | 0 | 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 |
73087bd098e88fc78614d997333c9cb2a9e486e2 | 1,231 | py | Python | Mini Projects/RockPaperScissors/RPS.py | Snowystar122/Python-Projects | faf05ec388030b8b40ad7a8ca5c2760fb62cf5a3 | [
"MIT"
] | null | null | null | Mini Projects/RockPaperScissors/RPS.py | Snowystar122/Python-Projects | faf05ec388030b8b40ad7a8ca5c2760fb62cf5a3 | [
"MIT"
] | null | null | null | Mini Projects/RockPaperScissors/RPS.py | Snowystar122/Python-Projects | faf05ec388030b8b40ad7a8ca5c2760fb62cf5a3 | [
"MIT"
] | null | null | null | import random as r
# Sets up required variables
running = True
user_wins = 0
comp_wins = 0
answers = ["R", "P", "S"]
win_combos = ["PR", "RS", "SP"]
# Welcome message
print("Welcome to Rock-Paper-Scissors. Please input one of the following:"
"\n'R' - rock\n'P' - paper\n'S' - scissors\nto get started.")
whil... | 32.394737 | 95 | 0.622258 | 191 | 1,231 | 3.86911 | 0.429319 | 0.075778 | 0.064953 | 0.086604 | 0.142084 | 0.104195 | 0.073072 | 0 | 0 | 0 | 0 | 0.010846 | 0.251015 | 1,231 | 37 | 96 | 33.27027 | 0.790672 | 0.108042 | 0 | 0.148148 | 0 | 0.037037 | 0.37054 | 0.087832 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.037037 | 0.222222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
730b2987ac65ae096f7d5f37854abcd28bec2bf9 | 1,147 | py | Python | pybullet-gym/pybulletgym/agents/agents_baselines.py | SmaleZ/vcl_diayn | b2c47a681675b405d2011bc4a43c3914f3af4ecc | [
"MIT"
] | 2 | 2021-07-12T17:11:35.000Z | 2021-07-13T05:56:30.000Z | pybullet-gym/pybulletgym/agents/agents_baselines.py | SmaleZ/vcl_diayn | b2c47a681675b405d2011bc4a43c3914f3af4ecc | [
"MIT"
] | null | null | null | pybullet-gym/pybulletgym/agents/agents_baselines.py | SmaleZ/vcl_diayn | b2c47a681675b405d2011bc4a43c3914f3af4ecc | [
"MIT"
] | null | null | null | from baselines import deepq
def add_opts(parser):
pass
class BaselinesDQNAgent(object):
'''
classdocs
'''
def __init__(self, opts):
self.metadata = {
'discrete_actions': True,
}
self.opts = opts
self.agent = None
def configure(self, observation_space_shape, nb_actions):
pass
def train(self, ... | 20.854545 | 58 | 0.691369 | 163 | 1,147 | 4.680982 | 0.472393 | 0.058978 | 0.023591 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021575 | 0.191805 | 1,147 | 55 | 59 | 20.854545 | 0.80151 | 0.007847 | 0 | 0.04878 | 0 | 0 | 0.026572 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.170732 | false | 0.04878 | 0.02439 | 0 | 0.219512 | 0.04878 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
730be722fa533a8220a435fcc4009bd19bbb500f | 1,426 | py | Python | exploit.py | hexcowboy/CVE-2020-8813 | 0229d52f8b5adb63cc6d5bc757850a01a7800b8d | [
"MIT"
] | null | null | null | exploit.py | hexcowboy/CVE-2020-8813 | 0229d52f8b5adb63cc6d5bc757850a01a7800b8d | [
"MIT"
] | null | null | null | exploit.py | hexcowboy/CVE-2020-8813 | 0229d52f8b5adb63cc6d5bc757850a01a7800b8d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import requests
import click
from rich import inspect
from rich.console import Console
from url_normalize import url_normalize
from urllib.parse import quote
console = Console()
def shell_encode(string):
return string.replace(" ", "${IFS}")
@click.command()
@click.option("-u", "--url", prompt... | 31 | 109 | 0.680224 | 190 | 1,426 | 5.021053 | 0.478947 | 0.037736 | 0.020964 | 0.041929 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007011 | 0.19986 | 1,426 | 45 | 110 | 31.688889 | 0.829097 | 0.099579 | 0 | 0 | 0 | 0 | 0.294671 | 0.024295 | 0 | 0 | 0 | 0 | 0 | 1 | 0.0625 | false | 0 | 0.1875 | 0.03125 | 0.28125 | 0.03125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
73106dc1db1187afa8a045a4fa929befaa9cbf34 | 5,939 | py | Python | torch/jit/_fuser.py | ljhOfGithub/pytorch | c568f7b16f2a98d72ff5b7c6c6161b67b2c27514 | [
"Intel"
] | 1 | 2022-03-29T00:44:31.000Z | 2022-03-29T00:44:31.000Z | torch/jit/_fuser.py | ljhOfGithub/pytorch | c568f7b16f2a98d72ff5b7c6c6161b67b2c27514 | [
"Intel"
] | null | null | null | torch/jit/_fuser.py | ljhOfGithub/pytorch | c568f7b16f2a98d72ff5b7c6c6161b67b2c27514 | [
"Intel"
] | 1 | 2022-03-28T21:49:41.000Z | 2022-03-28T21:49:41.000Z | import contextlib
import torch
from typing import List, Tuple
@contextlib.contextmanager
def optimized_execution(should_optimize):
"""
A context manager that controls whether the JIT's executor will run
optimizations before executing a function.
"""
stored_flag = torch._C._get_graph_executor_optim... | 42.120567 | 106 | 0.706348 | 826 | 5,939 | 4.771186 | 0.300242 | 0.045674 | 0.057092 | 0.039584 | 0.292312 | 0.246384 | 0.201979 | 0.135752 | 0.084496 | 0.071302 | 0 | 0.003241 | 0.220744 | 5,939 | 140 | 107 | 42.421429 | 0.848315 | 0.38525 | 0 | 0.246753 | 0 | 0 | 0.023523 | 0.007172 | 0 | 0 | 0 | 0 | 0.025974 | 1 | 0.077922 | false | 0 | 0.038961 | 0.012987 | 0.168831 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
73111dceec02df0e21147895187850aaff39304f | 4,420 | py | Python | modlit/db/postgres.py | patdaburu/modlit | 9c9c153b74f116357e856e4c204c9a83bb15398f | [
"MIT"
] | null | null | null | modlit/db/postgres.py | patdaburu/modlit | 9c9c153b74f116357e856e4c204c9a83bb15398f | [
"MIT"
] | null | null | null | modlit/db/postgres.py | patdaburu/modlit | 9c9c153b74f116357e856e4c204c9a83bb15398f | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
# Created by pat on 5/8/18
"""
.. currentmodule:: modlit.db.postgres
.. moduleauthor:: Pat Daburu <pat@daburu.net>
This module contains utilities for working directly with PostgreSQL.
"""
import json
from pathlib import Path
from urllib.parse import urlparse, ParseResult
... | 32.262774 | 79 | 0.640045 | 604 | 4,420 | 4.610927 | 0.281457 | 0.031598 | 0.01939 | 0.021544 | 0.400359 | 0.357271 | 0.334291 | 0.334291 | 0.289767 | 0.273968 | 0 | 0.00619 | 0.269005 | 4,420 | 136 | 80 | 32.5 | 0.855772 | 0.465158 | 0 | 0.285714 | 0 | 0 | 0.023519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063492 | false | 0.015873 | 0.095238 | 0 | 0.206349 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7311ffda56e787743243c236f69f050e734a7937 | 22,262 | py | Python | parser.py | boshijingang/PyLuaCompiler | 37cdf73286d020b2d119635d6d2609a5d9debfed | [
"MIT"
] | null | null | null | parser.py | boshijingang/PyLuaCompiler | 37cdf73286d020b2d119635d6d2609a5d9debfed | [
"MIT"
] | null | null | null | parser.py | boshijingang/PyLuaCompiler | 37cdf73286d020b2d119635d6d2609a5d9debfed | [
"MIT"
] | null | null | null | import lexer
import ast
class Parser:
block_end_tokens = [lexer.TokenKind.KW_RETURN, lexer.TokenKind.EOF,
lexer.TokenKind.KW_END, lexer.TokenKind.KW_ELSE,
lexer.TokenKind.KW_ELSEIF, lexer.TokenKind.KW_UNTIL]
priority_table = {
lexer.TokenKind.OP_ADD: {'l... | 42.894027 | 128 | 0.620519 | 2,910 | 22,262 | 4.478007 | 0.066323 | 0.179418 | 0.149183 | 0.103139 | 0.662113 | 0.612386 | 0.542322 | 0.445323 | 0.39383 | 0.351777 | 0 | 0.005479 | 0.262106 | 22,262 | 519 | 129 | 42.894027 | 0.787788 | 0.06729 | 0 | 0.353919 | 0 | 0 | 0.014361 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095012 | false | 0 | 0.004751 | 0 | 0.270784 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7316876aa79ec9dd6b9b2ee309c9f7ea22776613 | 5,066 | py | Python | usbservo/usbservogui.py | ppfenninger/screwball | c4a7273fa47dac6bdf6fcf8ca29c85a77f9e5bd6 | [
"MIT"
] | null | null | null | usbservo/usbservogui.py | ppfenninger/screwball | c4a7273fa47dac6bdf6fcf8ca29c85a77f9e5bd6 | [
"MIT"
] | null | null | null | usbservo/usbservogui.py | ppfenninger/screwball | c4a7273fa47dac6bdf6fcf8ca29c85a77f9e5bd6 | [
"MIT"
] | null | null | null | #
## Copyright (c) 2018, Bradley A. Minch
## All rights reserved.
##
## Redistribution and use in source and binary forms, with or without
## modification, are permitted provided that the following conditions are met:
##
## 1. Redistributions of source code must retain the above copyright
## notic... | 49.666667 | 153 | 0.647059 | 685 | 5,066 | 4.654015 | 0.271533 | 0.040151 | 0.040778 | 0.040778 | 0.376412 | 0.317127 | 0.214555 | 0.187265 | 0.169699 | 0.169699 | 0 | 0.033743 | 0.245361 | 5,066 | 101 | 154 | 50.158416 | 0.800157 | 0.263522 | 0 | 0 | 0 | 0 | 0.058101 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.03125 | 0 | 0.171875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7318d12083b715d2887f9b7cf5b2559fad4d08c0 | 6,236 | py | Python | pychron/core/helpers/logger_setup.py | aelamspychron/pychron | ad87c22b0817c739c7823a24585053041ee339d5 | [
"Apache-2.0"
] | 1 | 2019-02-27T21:57:44.000Z | 2019-02-27T21:57:44.000Z | pychron/core/helpers/logger_setup.py | aelamspychron/pychron | ad87c22b0817c739c7823a24585053041ee339d5 | [
"Apache-2.0"
] | 20 | 2020-09-09T20:58:39.000Z | 2021-10-05T17:48:37.000Z | pychron/core/helpers/logger_setup.py | AGESLDEO/pychron | 1a81e05d9fba43b797f335ceff6837c016633bcf | [
"Apache-2.0"
] | null | null | null | # ===============================================================================
# Copyright 2011 Jake Ross
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses... | 29.837321 | 103 | 0.591725 | 757 | 6,236 | 4.772787 | 0.348745 | 0.030999 | 0.016607 | 0.008857 | 0.047606 | 0.023803 | 0.023803 | 0.023803 | 0 | 0 | 0 | 0.012066 | 0.255773 | 6,236 | 208 | 104 | 29.980769 | 0.76643 | 0.29923 | 0 | 0.084746 | 0 | 0.008475 | 0.028251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067797 | false | 0 | 0.067797 | 0 | 0.186441 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7318f31264c2155178f9f5bd08d307cfd0e1de20 | 7,980 | py | Python | picmodels/models/care_advisors/case_management_models/sequence_models/services/create_update_delete.py | bbcawodu/careadvisors-backend | 5ebd3c0fc189b2486cea92b2a13c0bd8a0ee3838 | [
"MIT"
] | null | null | null | picmodels/models/care_advisors/case_management_models/sequence_models/services/create_update_delete.py | bbcawodu/careadvisors-backend | 5ebd3c0fc189b2486cea92b2a13c0bd8a0ee3838 | [
"MIT"
] | null | null | null | picmodels/models/care_advisors/case_management_models/sequence_models/services/create_update_delete.py | bbcawodu/careadvisors-backend | 5ebd3c0fc189b2486cea92b2a13c0bd8a0ee3838 | [
"MIT"
] | null | null | null | import picmodels
def create_row_w_validated_params(cls, validated_params, rqst_errors):
if 'name' not in validated_params:
rqst_errors.append("'name' is a required key in the validated_params argument")
return None
if cls.check_for_rows_with_given_name(validated_params['name'], rqst_errors):
... | 34.545455 | 166 | 0.61817 | 997 | 7,980 | 4.598796 | 0.101304 | 0.093784 | 0.041876 | 0.032715 | 0.69422 | 0.660851 | 0.633152 | 0.579498 | 0.539149 | 0.529989 | 0 | 0.000912 | 0.313283 | 7,980 | 230 | 167 | 34.695652 | 0.835766 | 0 | 0 | 0.578378 | 0 | 0.027027 | 0.130827 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048649 | false | 0 | 0.005405 | 0 | 0.124324 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
731a5b94603a881cbdad31e6b399fc2db646e99b | 4,162 | py | Python | elegy/optimizer_test.py | sooheon/elegy | cad6f832cac1a34684c4f4f2c4a386cbfa817623 | [
"Apache-2.0"
] | null | null | null | elegy/optimizer_test.py | sooheon/elegy | cad6f832cac1a34684c4f4f2c4a386cbfa817623 | [
"Apache-2.0"
] | null | null | null | elegy/optimizer_test.py | sooheon/elegy | cad6f832cac1a34684c4f4f2c4a386cbfa817623 | [
"Apache-2.0"
] | null | null | null | import jax
import elegy
import unittest
import numpy as np
import jax.numpy as jnp
import optax
class MLP(elegy.Module):
"""Standard LeNet-300-100 MLP network."""
n1: int
n2: int
def __init__(self, n1: int = 3, n2: int = 4):
super().__init__()
self.n1 = n1
self.n2 = n2
... | 30.602941 | 88 | 0.606439 | 525 | 4,162 | 4.670476 | 0.211429 | 0.165171 | 0.107667 | 0.084829 | 0.609706 | 0.590538 | 0.590538 | 0.590538 | 0.590538 | 0.549755 | 0 | 0.03391 | 0.277271 | 4,162 | 135 | 89 | 30.82963 | 0.78125 | 0.008409 | 0 | 0.323232 | 0 | 0 | 0.000971 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.060606 | false | 0 | 0.060606 | 0 | 0.171717 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
731a5f37b2d3af866a1a81886741f91cddda5c09 | 6,929 | py | Python | scripts/version.py | nfnty/docker | cdc68f57fdb6bd472b78d6ef6cbc77f430bd5089 | [
"MIT"
] | 54 | 2015-03-08T23:45:21.000Z | 2021-01-11T12:35:07.000Z | scripts/version.py | nfnty/docker | cdc68f57fdb6bd472b78d6ef6cbc77f430bd5089 | [
"MIT"
] | 4 | 2015-04-10T08:58:29.000Z | 2015-11-08T08:34:55.000Z | scripts/version.py | nfnty/docker | cdc68f57fdb6bd472b78d6ef6cbc77f430bd5089 | [
"MIT"
] | 16 | 2015-04-08T23:54:07.000Z | 2020-04-08T22:03:12.000Z | #!/usr/bin/python3
''' Check image package versions '''
import argparse
import distutils.version
import re
import subprocess
from typing import Any, Dict, Sequence, Tuple
import lxml.html # type: ignore
import requests
from termcolor import cprint
from utils.image import IMAGES, path_dockerfile
TIMEOUT = (31, 181... | 35.533333 | 97 | 0.593159 | 788 | 6,929 | 5.142132 | 0.260152 | 0.029615 | 0.048371 | 0.030602 | 0.181145 | 0.133761 | 0.133761 | 0.096742 | 0.074531 | 0.025173 | 0 | 0.011368 | 0.276375 | 6,929 | 194 | 98 | 35.716495 | 0.796769 | 0.04575 | 0 | 0.124138 | 0 | 0.006897 | 0.129136 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.048276 | false | 0 | 0.062069 | 0 | 0.144828 | 0.062069 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
731bcc2e7423a542f77047dce4151ada325579ea | 2,441 | py | Python | nazrul.py | rakesh0703/Content_Parser_of_works_of_kazi_nazrul | c3e2060effe7b7576ee5b034a9aba3df648d6358 | [
"Apache-2.0"
] | null | null | null | nazrul.py | rakesh0703/Content_Parser_of_works_of_kazi_nazrul | c3e2060effe7b7576ee5b034a9aba3df648d6358 | [
"Apache-2.0"
] | null | null | null | nazrul.py | rakesh0703/Content_Parser_of_works_of_kazi_nazrul | c3e2060effe7b7576ee5b034a9aba3df648d6358 | [
"Apache-2.0"
] | null | null | null | # -- coding: UTF-8 --
"""
Spyder Editor
This is a temporary script file.
"""
from bs4 import BeautifulSoup
import sys
import os
import ssl
ssl._create_default_https_context = ssl._create_unverified_context
import urllib.parse,urllib.request,urllib.error
base="https://nazrul-rachanabali.nltr.org/"
page=urllib.request.... | 29.059524 | 87 | 0.530111 | 329 | 2,441 | 3.841945 | 0.337386 | 0.038766 | 0.079114 | 0.079114 | 0.223101 | 0.140823 | 0.107595 | 0.107595 | 0.107595 | 0.107595 | 0 | 0.034024 | 0.229414 | 2,441 | 83 | 88 | 29.409639 | 0.637959 | 0.179025 | 0 | 0.087719 | 0 | 0 | 0.097426 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.087719 | 0 | 0.087719 | 0.017544 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
731c7020273e619e347b608e87b47d20ed636f00 | 3,515 | py | Python | core/handler.py | mh4x0f/kinproxy | 72dd24eb5ff5286c2bb57524124934a54614f9ec | [
"MIT"
] | 5 | 2018-01-20T15:33:14.000Z | 2021-06-29T04:26:44.000Z | core/handler.py | mh4x0f/kinproxy | 72dd24eb5ff5286c2bb57524124934a54614f9ec | [
"MIT"
] | null | null | null | core/handler.py | mh4x0f/kinproxy | 72dd24eb5ff5286c2bb57524124934a54614f9ec | [
"MIT"
] | 1 | 2019-03-08T18:46:05.000Z | 2019-03-08T18:46:05.000Z | try:
from mitmproxy import controller, proxy
from mitmproxy.proxy.server import ProxyServer
except:
from libmproxy import controller, proxy
from libmproxy.proxy.server import ProxyServer
from plugins import *
from threading import Thread
from core.config.settings import SettingsINI
# MIT License
#
# Co... | 33.47619 | 80 | 0.657183 | 426 | 3,515 | 5.295775 | 0.392019 | 0.039007 | 0.02305 | 0.022163 | 0.054078 | 0.034574 | 0.034574 | 0.034574 | 0.034574 | 0.034574 | 0 | 0.002663 | 0.252063 | 3,515 | 104 | 81 | 33.798077 | 0.855458 | 0.406828 | 0 | 0.196078 | 0 | 0 | 0.037981 | 0.010926 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.137255 | 0 | 0.352941 | 0.039216 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
731e4596b4a14f1da0dc95574358cfa12ef495f2 | 319 | py | Python | sandbox/wavelets.py | EtalumaSupport/LumaViewPro | ab9678c04fc561e6fce8b774c5d87cc91d6f3e07 | [
"MIT"
] | null | null | null | sandbox/wavelets.py | EtalumaSupport/LumaViewPro | ab9678c04fc561e6fce8b774c5d87cc91d6f3e07 | [
"MIT"
] | 59 | 2021-03-26T19:22:59.000Z | 2021-12-04T00:42:12.000Z | sandbox/wavelets.py | EtalumaSupport/LumaViewPro | ab9678c04fc561e6fce8b774c5d87cc91d6f3e07 | [
"MIT"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
from astropy.convolution import RickerWavelet2DKernel
ricker_2d_kernel = RickerWavelet2DKernel(5)
plt.imshow(ricker_2d_kernel, interpolation='none', origin='lower')
plt.xlabel('x [pixels]')
plt.ylabel('y [pixels]')
plt.colorbar()
plt.show()
print(ricker_2d_kernel)
| 22.785714 | 66 | 0.793103 | 44 | 319 | 5.613636 | 0.636364 | 0.097166 | 0.17004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020619 | 0.087774 | 319 | 13 | 67 | 24.538462 | 0.828179 | 0 | 0 | 0 | 0 | 0 | 0.090909 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.3 | 0 | 0.3 | 0.1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
731e657c5103db0d7c66fbe61179c7894a85d4d3 | 5,267 | py | Python | tests/test_errors.py | raymundl/firepit | 5b913806eef646c02bd55e301b19baa052aa29d5 | [
"Apache-2.0"
] | null | null | null | tests/test_errors.py | raymundl/firepit | 5b913806eef646c02bd55e301b19baa052aa29d5 | [
"Apache-2.0"
] | null | null | null | tests/test_errors.py | raymundl/firepit | 5b913806eef646c02bd55e301b19baa052aa29d5 | [
"Apache-2.0"
] | null | null | null | import os
import pytest
from firepit.exceptions import IncompatibleType
from firepit.exceptions import InvalidAttr
from firepit.exceptions import InvalidStixPath
from firepit.exceptions import InvalidViewname
from firepit.exceptions import StixPatternError
from .helpers import tmp_storage
@pytest.fixture
def invali... | 35.587838 | 101 | 0.652933 | 693 | 5,267 | 4.780664 | 0.17316 | 0.087534 | 0.10987 | 0.088741 | 0.617567 | 0.562934 | 0.52792 | 0.51796 | 0.506791 | 0.483851 | 0 | 0.01912 | 0.175812 | 5,267 | 147 | 102 | 35.829932 | 0.744068 | 0.007974 | 0 | 0.463636 | 0 | 0 | 0.243533 | 0.011688 | 0 | 0 | 0.001533 | 0 | 0.009091 | 1 | 0.136364 | false | 0 | 0.072727 | 0 | 0.218182 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
73212f2cfd8e6dccfeaf70d354cab83a3bcc2ae2 | 3,059 | py | Python | src/urls.py | chunky2808/Hire-Me | 7a43fb2f555a5f46e285d24c18457c2ce1c0d225 | [
"MIT"
] | null | null | null | src/urls.py | chunky2808/Hire-Me | 7a43fb2f555a5f46e285d24c18457c2ce1c0d225 | [
"MIT"
] | 6 | 2020-02-12T00:41:15.000Z | 2022-03-11T23:20:37.000Z | src/urls.py | chunky2808/Hire-Me | 7a43fb2f555a5f46e285d24c18457c2ce1c0d225 | [
"MIT"
] | null | null | null | """src URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/1.11/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: url(r'^$', views.home, name='home')
Clas... | 50.147541 | 119 | 0.676038 | 451 | 3,059 | 4.436807 | 0.228381 | 0.051974 | 0.015992 | 0.032484 | 0.26087 | 0.225887 | 0.17991 | 0.145927 | 0.083458 | 0.083458 | 0 | 0.003409 | 0.136973 | 3,059 | 60 | 120 | 50.983333 | 0.754545 | 0.231121 | 0 | 0 | 0 | 0 | 0.33275 | 0.208406 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7322d738208c1e92a29dc1677393b7f139a60b9b | 1,546 | py | Python | re_compare/re_compare.py | gchase/re-compare | c717094053fd5938ea7f0a46dcfec75bc077cb7e | [
"MIT"
] | null | null | null | re_compare/re_compare.py | gchase/re-compare | c717094053fd5938ea7f0a46dcfec75bc077cb7e | [
"MIT"
] | null | null | null | re_compare/re_compare.py | gchase/re-compare | c717094053fd5938ea7f0a46dcfec75bc077cb7e | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import logging
import argparse
import traceback
import os
import sys
from analysis import Analysis
from collector import Collector
from config import DEBUG, DEFAULT_LOG_FILE_DIR
def is_dir(dirname):
if not os.path.isdir(dirname):
msg = "{0} is not a directory".format(dirname)
... | 24.539683 | 82 | 0.641656 | 181 | 1,546 | 5.287293 | 0.447514 | 0.068966 | 0.053292 | 0.035528 | 0.15256 | 0.079415 | 0 | 0 | 0 | 0 | 0 | 0.001676 | 0.228331 | 1,546 | 62 | 83 | 24.935484 | 0.800503 | 0.013583 | 0 | 0.090909 | 0 | 0.022727 | 0.201444 | 0.016404 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.181818 | 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 |
7323e7284674358cab716226cc5bccd1b52ec055 | 1,216 | py | Python | venv/Lib/site-packages/nipype/conftest.py | richung99/digitizePlots | 6b408c820660a415a289726e3223e8f558d3e18b | [
"MIT"
] | 585 | 2015-01-12T16:06:47.000Z | 2022-03-26T14:51:08.000Z | nipype/conftest.py | tamires-consulting/nipype | b7879d75a63b6500b2e7d2c3eba5aa7670339274 | [
"Apache-2.0"
] | 2,329 | 2015-01-01T09:56:41.000Z | 2022-03-30T14:24:49.000Z | nipype/conftest.py | tamires-consulting/nipype | b7879d75a63b6500b2e7d2c3eba5aa7670339274 | [
"Apache-2.0"
] | 487 | 2015-01-20T01:04:52.000Z | 2022-03-21T21:22:47.000Z | import os
import shutil
from tempfile import mkdtemp
import pytest
import numpy
import py.path as pp
NIPYPE_DATADIR = os.path.realpath(
os.path.join(os.path.dirname(__file__), "testing/data")
)
temp_folder = mkdtemp()
data_dir = os.path.join(temp_folder, "data")
shutil.copytree(NIPYPE_DATADIR, data_dir)
@pytest.... | 26.434783 | 76 | 0.709704 | 162 | 1,216 | 5.179012 | 0.506173 | 0.095352 | 0.023838 | 0.047676 | 0.097735 | 0.097735 | 0.097735 | 0.097735 | 0 | 0 | 0 | 0.008122 | 0.189967 | 1,216 | 45 | 77 | 27.022222 | 0.843655 | 0.226151 | 0 | 0.137931 | 0 | 0 | 0.042965 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.206897 | 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 |
73276ed229a6cddfa545672ed9e4e28191eeb79e | 2,939 | py | Python | pymbolic/mapper/coefficient.py | sv2518/pymbolic | 42687a410b1c355beec510b91c18f97e5137795b | [
"MIT"
] | null | null | null | pymbolic/mapper/coefficient.py | sv2518/pymbolic | 42687a410b1c355beec510b91c18f97e5137795b | [
"MIT"
] | null | null | null | pymbolic/mapper/coefficient.py | sv2518/pymbolic | 42687a410b1c355beec510b91c18f97e5137795b | [
"MIT"
] | null | null | null | __copyright__ = "Copyright (C) 2013 Andreas Kloeckner"
__license__ = """
Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, ... | 35.841463 | 77 | 0.639673 | 389 | 2,939 | 4.660668 | 0.365039 | 0.048538 | 0.03861 | 0.054054 | 0.120243 | 0.090458 | 0.069498 | 0.069498 | 0 | 0 | 0 | 0.005851 | 0.302144 | 2,939 | 81 | 78 | 36.283951 | 0.878108 | 0 | 0 | 0.171875 | 0 | 0 | 0.367472 | 0 | 0 | 0 | 0 | 0 | 0.015625 | 1 | 0.078125 | false | 0 | 0.015625 | 0.015625 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7328644eaa6b2ec01fefc42231719421b2897b5b | 1,958 | py | Python | day_06/balancer.py | anglerud/advent_of_code_2017 | eff27d43cd9eb7c60271887c80cb88f1ae50c48d | [
"MIT"
] | 3 | 2017-12-06T21:23:19.000Z | 2020-04-12T09:49:53.000Z | day_06/balancer.py | anglerud/advent_of_code_2017 | eff27d43cd9eb7c60271887c80cb88f1ae50c48d | [
"MIT"
] | null | null | null | day_06/balancer.py | anglerud/advent_of_code_2017 | eff27d43cd9eb7c60271887c80cb88f1ae50c48d | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# coding: utf-8
""" """
import typing as t
import attr
import click
@attr.s(frozen=True)
class Memory(object):
banks: t.Tuple[int, ...] = attr.ib()
def balance(self) -> 'Memory':
mem = list(self.banks)
num_banks = len(self.banks)
# Find the amount of blocks to ... | 23.035294 | 76 | 0.62666 | 250 | 1,958 | 4.728 | 0.38 | 0.083756 | 0.063452 | 0.047377 | 0.275804 | 0.241963 | 0.201354 | 0.201354 | 0.201354 | 0.201354 | 0 | 0.006098 | 0.24617 | 1,958 | 84 | 77 | 23.309524 | 0.794715 | 0.12002 | 0 | 0.192308 | 0 | 0 | 0.066627 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115385 | false | 0.019231 | 0.057692 | 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 |
732ac32a2f056f0d1b4317192e07425ea49f8e2a | 1,268 | bzl | Python | pw_build/selects.bzl | mspang/pigweed | 89ff5f98f38b1ff7a1ff0633c590479e9b592a14 | [
"Apache-2.0"
] | null | null | null | pw_build/selects.bzl | mspang/pigweed | 89ff5f98f38b1ff7a1ff0633c590479e9b592a14 | [
"Apache-2.0"
] | 1 | 2021-06-18T13:54:41.000Z | 2021-06-18T13:54:41.000Z | pw_build/selects.bzl | mspang/pigweed | 89ff5f98f38b1ff7a1ff0633c590479e9b592a14 | [
"Apache-2.0"
] | null | null | null | # Copyright 2021 The Pigweed Authors
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# https://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in ... | 39.625 | 79 | 0.729495 | 180 | 1,268 | 4.977778 | 0.538889 | 0.066964 | 0.080357 | 0.080357 | 0.107143 | 0.073661 | 0 | 0 | 0 | 0 | 0 | 0.007526 | 0.161672 | 1,268 | 31 | 80 | 40.903226 | 0.835372 | 0.745268 | 0 | 0 | 0 | 0 | 0.463333 | 0.263333 | 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 |
732bbfe89e64414c6afc65b3cfb58bb41674d875 | 2,848 | py | Python | leboncrevard/job.py | mclbn/leboncrevard | ee1b2a445eeda8f8561b5c62289b994dff38cfa9 | [
"ISC"
] | 5 | 2017-03-14T00:28:13.000Z | 2019-02-06T15:38:21.000Z | leboncrevard/job.py | mclbn/leboncrevard | ee1b2a445eeda8f8561b5c62289b994dff38cfa9 | [
"ISC"
] | null | null | null | leboncrevard/job.py | mclbn/leboncrevard | ee1b2a445eeda8f8561b5c62289b994dff38cfa9 | [
"ISC"
] | 5 | 2017-02-25T07:31:26.000Z | 2019-02-06T15:38:27.000Z | import smtplib
import time
from email.mime.text import MIMEText
from leboncrevard import scrapper, config
class LbcJob:
def __init__(self, name, url, interval, recipients):
self.name = name
self.url = url
self.scrapper = scrapper.LbcScrapper(url)
self.interval = interval
s... | 33.904762 | 81 | 0.458567 | 280 | 2,848 | 4.592857 | 0.378571 | 0.037325 | 0.020218 | 0.026439 | 0.03888 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002502 | 0.438553 | 2,848 | 83 | 82 | 34.313253 | 0.801751 | 0.052669 | 0 | 0.084507 | 0 | 0 | 0.08581 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.070423 | false | 0.028169 | 0.056338 | 0 | 0.225352 | 0.112676 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
732c359d55e1699fb9b02c52c8e5453f0946a5bf | 13,825 | py | Python | tsl/data/datamodule/splitters.py | TorchSpatiotemporal/tsl | da13493b0cf83826bf41fe78a67e8d4ce1d7a8a0 | [
"MIT"
] | 4 | 2022-03-21T09:16:33.000Z | 2022-03-30T12:24:30.000Z | tsl/data/datamodule/splitters.py | TorchSpatiotemporal/tsl | da13493b0cf83826bf41fe78a67e8d4ce1d7a8a0 | [
"MIT"
] | null | null | null | tsl/data/datamodule/splitters.py | TorchSpatiotemporal/tsl | da13493b0cf83826bf41fe78a67e8d4ce1d7a8a0 | [
"MIT"
] | null | null | null | import functools
from copy import deepcopy
from datetime import datetime
from typing import Mapping, Callable, Union, Tuple, Optional
import numpy as np
from tsl.utils.python_utils import ensure_list
from ..spatiotemporal_dataset import SpatioTemporalDataset
from ..utils import SynchMode
__all__ = [
'Splitter',
... | 34.051724 | 115 | 0.650922 | 1,865 | 13,825 | 4.552815 | 0.135657 | 0.013426 | 0.010599 | 0.010011 | 0.302202 | 0.168296 | 0.119185 | 0.093982 | 0.054411 | 0.032976 | 0 | 0.00377 | 0.251646 | 13,825 | 405 | 116 | 34.135802 | 0.816934 | 0.078626 | 0 | 0.169492 | 0 | 0 | 0.026497 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.145763 | false | 0.010169 | 0.030508 | 0.044068 | 0.305085 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
732d71e2f7609d24712a7e6d1541ad6047bd54bf | 3,483 | py | Python | demo.py | bringBackm/SSD | 6cbc9018fd7365d7c65cf6d4da90c14cced5e542 | [
"MIT"
] | null | null | null | demo.py | bringBackm/SSD | 6cbc9018fd7365d7c65cf6d4da90c14cced5e542 | [
"MIT"
] | null | null | null | demo.py | bringBackm/SSD | 6cbc9018fd7365d7c65cf6d4da90c14cced5e542 | [
"MIT"
] | null | null | null | import glob
import os
import torch
from PIL import Image
from tqdm import tqdm
from ssd.config import cfg
from ssd.data.datasets import COCODataset, VOCDataset
from ssd.modeling.predictor import Predictor
from ssd.modeling.vgg_ssd import build_ssd_model
import argparse
import numpy as np
from ssd.utils.viz import dra... | 35.540816 | 128 | 0.669251 | 453 | 3,483 | 4.94702 | 0.300221 | 0.032129 | 0.060687 | 0.034806 | 0.065149 | 0.065149 | 0.065149 | 0.065149 | 0.039268 | 0 | 0 | 0.008416 | 0.215332 | 3,483 | 97 | 129 | 35.907216 | 0.811562 | 0.039621 | 0 | 0.025974 | 0 | 0 | 0.149656 | 0.018557 | 0 | 0 | 0 | 0 | 0 | 1 | 0.025974 | false | 0 | 0.155844 | 0 | 0.181818 | 0.038961 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7332ce4b3b7c7b972d457f074400634cb61ce765 | 5,686 | py | Python | scripts/data_creation_v3.py | deepchecks/url_classification_dl | 029fddb78e019cf288adcc2fd46be3435536d469 | [
"CC0-1.0"
] | 3 | 2021-05-22T09:20:54.000Z | 2022-03-14T15:58:17.000Z | scripts/data_creation_v3.py | deepchecks/url_classification_dl | 029fddb78e019cf288adcc2fd46be3435536d469 | [
"CC0-1.0"
] | 1 | 2021-11-15T11:22:48.000Z | 2021-12-11T13:32:19.000Z | scripts/data_creation_v3.py | deepchecks/url_classification_dl | 029fddb78e019cf288adcc2fd46be3435536d469 | [
"CC0-1.0"
] | 6 | 2021-05-15T17:46:22.000Z | 2022-03-24T11:24:59.000Z | import whois
from datetime import datetime, timezone
import math
import pandas as pd
import numpy as np
from pyquery import PyQuery
from requests import get
class UrlFeaturizer(object):
def __init__(self, url):
self.url = url
self.domain = url.split('//')[-1].split('/')[0]
self.today = date... | 29.769634 | 90 | 0.536933 | 667 | 5,686 | 4.550225 | 0.203898 | 0.033608 | 0.032619 | 0.029654 | 0.185502 | 0.145634 | 0.145634 | 0.114003 | 0.114003 | 0.106755 | 0 | 0.011397 | 0.33644 | 5,686 | 190 | 91 | 29.926316 | 0.793003 | 0.010025 | 0 | 0.26875 | 0 | 0 | 0.048737 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15 | false | 0 | 0.04375 | 0.025 | 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 |
7333549135a1f86b79763216b9dd3553195359bb | 5,175 | py | Python | rgnn_at_scale/models/gat.py | sigeisler/robustness_of_gnns_at_scale | 0f4844711ace599f54c2abc760b53680a80d6a32 | [
"MIT"
] | 11 | 2021-11-01T19:54:41.000Z | 2022-01-27T11:34:11.000Z | rgnn_at_scale/models/gat.py | sigeisler/robustness_of_gnns_at_scale | 0f4844711ace599f54c2abc760b53680a80d6a32 | [
"MIT"
] | 1 | 2021-12-13T21:14:56.000Z | 2022-01-16T17:37:36.000Z | rgnn_at_scale/models/gat.py | sigeisler/robustness_of_gnns_at_scale | 0f4844711ace599f54c2abc760b53680a80d6a32 | [
"MIT"
] | 2 | 2021-11-05T00:42:18.000Z | 2022-01-12T10:10:30.000Z | from typing import Any, Dict, Tuple
import torch
from torch_geometric.nn import GATConv
from torch_sparse import SparseTensor, set_diag
from rgnn_at_scale.aggregation import ROBUST_MEANS
from rgnn_at_scale.models.gcn import GCN
class RGATConv(GATConv):
"""Extension of Pytorch Geometric's `GCNConv` to execute a... | 36.443662 | 119 | 0.636329 | 673 | 5,175 | 4.695394 | 0.322437 | 0.03481 | 0.020886 | 0.018987 | 0.231013 | 0.215823 | 0.215823 | 0.215823 | 0.215823 | 0.215823 | 0 | 0.007632 | 0.2657 | 5,175 | 141 | 120 | 36.702128 | 0.823947 | 0.341063 | 0 | 0.140625 | 0 | 0 | 0.082517 | 0 | 0 | 0 | 0 | 0 | 0.0625 | 1 | 0.078125 | false | 0.015625 | 0.09375 | 0.03125 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7334d673ab4fa7b6545531cff68878e44e4b4835 | 902 | py | Python | code/renderer/randomize/material.py | jonathangranskog/shading-scene-representations | 9c9033a1ca05095c7e2ccfeb4da3046b687bef3d | [
"MIT"
] | 21 | 2020-09-28T10:38:04.000Z | 2022-03-12T08:46:09.000Z | code/renderer/randomize/material.py | jonathangranskog/shading-scene-representations | 9c9033a1ca05095c7e2ccfeb4da3046b687bef3d | [
"MIT"
] | null | null | null | code/renderer/randomize/material.py | jonathangranskog/shading-scene-representations | 9c9033a1ca05095c7e2ccfeb4da3046b687bef3d | [
"MIT"
] | 1 | 2020-12-16T14:56:21.000Z | 2020-12-16T14:56:21.000Z | import numpy as np
import pyrr
import os
class Material():
def __init__(self, color=np.ones(3, dtype=np.float32), emission=np.zeros(3, dtype=np.float32), roughness=1.0, ior=15.0, id=0, texture=None, texture_frequency=np.array([1.0, 1.0])):
self.color = color
self.emission = emission
self.ro... | 32.214286 | 184 | 0.586475 | 119 | 902 | 4.361345 | 0.319328 | 0.154143 | 0.030829 | 0.057803 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02454 | 0.277162 | 902 | 28 | 185 | 32.214286 | 0.771472 | 0 | 0 | 0 | 0 | 0 | 0.056478 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.12 | 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 |
7335cb0ff48cfe398a0b353de5f1570850d9c8fa | 3,752 | py | Python | frappe/core/doctype/sms_settings/sms_settings.py | ektai/erp2Dodock | 5ad64b01cba9b07437f9a27751101258679379e8 | [
"MIT"
] | null | null | null | frappe/core/doctype/sms_settings/sms_settings.py | ektai/erp2Dodock | 5ad64b01cba9b07437f9a27751101258679379e8 | [
"MIT"
] | null | null | null | frappe/core/doctype/sms_settings/sms_settings.py | ektai/erp2Dodock | 5ad64b01cba9b07437f9a27751101258679379e8 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Copyright (c) 2015, Frappe Technologies Pvt. Ltd. and Contributors
# License: GNU General Public License v3. See license.txt
from __future__ import unicode_literals
import frappe
from frappe import _, throw, msgprint
from frappe.utils import nowdate
from frappe.model.document import Documen... | 27.188406 | 98 | 0.711354 | 544 | 3,752 | 4.691176 | 0.279412 | 0.094044 | 0.032915 | 0.028213 | 0.094044 | 0.054075 | 0.032132 | 0.032132 | 0 | 0 | 0 | 0.006534 | 0.14339 | 3,752 | 138 | 99 | 27.188406 | 0.787492 | 0.074627 | 0 | 0.04902 | 0 | 0 | 0.166096 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068627 | false | 0.009804 | 0.088235 | 0 | 0.205882 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
73360c2d69e50730324e4dc6677481e54cc8e26d | 1,850 | py | Python | tardis/model/tests/test_csvy_model.py | Youssef15015/tardis | adde5b0114f23634fe5afef6937b285174ad6b55 | [
"BSD-3-Clause"
] | null | null | null | tardis/model/tests/test_csvy_model.py | Youssef15015/tardis | adde5b0114f23634fe5afef6937b285174ad6b55 | [
"BSD-3-Clause"
] | 2 | 2019-06-10T11:24:50.000Z | 2019-06-18T17:28:59.000Z | tardis/model/tests/test_csvy_model.py | Youssef15015/tardis | adde5b0114f23634fe5afef6937b285174ad6b55 | [
"BSD-3-Clause"
] | 1 | 2019-06-10T10:21:41.000Z | 2019-06-10T10:21:41.000Z | import numpy as np
import numpy.testing as npt
import tardis
import os
from astropy import units as u
from tardis.io.config_reader import Configuration
from tardis.model import Radial1DModel
import pytest
DATA_PATH = os.path.join(tardis.__path__[0],'model','tests','data')
@pytest.fixture(scope="module", params=['conf... | 44.047619 | 107 | 0.682162 | 235 | 1,850 | 4.957447 | 0.276596 | 0.122747 | 0.08412 | 0.061803 | 0.256652 | 0.103863 | 0.103863 | 0.103863 | 0.072103 | 0 | 0 | 0.007102 | 0.238919 | 1,850 | 41 | 108 | 45.121951 | 0.820313 | 0 | 0 | 0 | 0 | 0 | 0.113095 | 0.079004 | 0 | 0 | 0 | 0 | 0.114286 | 1 | 0.057143 | false | 0 | 0.228571 | 0.028571 | 0.314286 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
73391ce9c005d2972ce3d22ec1870d858657b9ce | 34,911 | py | Python | wepppy/taudem/topaz_emulator.py | hwbeeson/wepppy | 6358552df99853c75be8911e7ef943108ae6923e | [
"BSD-3-Clause"
] | null | null | null | wepppy/taudem/topaz_emulator.py | hwbeeson/wepppy | 6358552df99853c75be8911e7ef943108ae6923e | [
"BSD-3-Clause"
] | null | null | null | wepppy/taudem/topaz_emulator.py | hwbeeson/wepppy | 6358552df99853c75be8911e7ef943108ae6923e | [
"BSD-3-Clause"
] | null | null | null | from typing import List
import os
import json
from os.path import join as _join
from os.path import exists as _exists
import math
from osgeo import gdal, osr
import numpy as np
from scipy.ndimage import label
from subprocess import Popen, PIPE
from pprint import pprint
from wepppy.all_your_base.geo import read_tif... | 37.619612 | 120 | 0.540661 | 4,038 | 34,911 | 4.455176 | 0.129767 | 0.011506 | 0.013341 | 0.005058 | 0.328849 | 0.2408 | 0.186882 | 0.175875 | 0.13274 | 0.105281 | 0 | 0.013155 | 0.359829 | 34,911 | 927 | 121 | 37.660194 | 0.791803 | 0.105669 | 0 | 0.252366 | 0 | 0 | 0.04188 | 0.00158 | 0 | 0 | 0 | 0.002158 | 0.015773 | 1 | 0.056782 | false | 0.004732 | 0.023659 | 0.01735 | 0.116719 | 0.01735 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
733a0eff21e557f8f32c9d92815d4f668db0c2d8 | 47,930 | py | Python | PyRSM/utils.py | chdahlqvist/RSMmap | 53984967d612eaf4feb90ba4972109638f6cf70a | [
"MIT"
] | 3 | 2021-05-18T16:40:13.000Z | 2022-03-17T15:32:31.000Z | PyRSM/utils.py | chdahlqvist/RSMmap | 53984967d612eaf4feb90ba4972109638f6cf70a | [
"MIT"
] | null | null | null | PyRSM/utils.py | chdahlqvist/RSMmap | 53984967d612eaf4feb90ba4972109638f6cf70a | [
"MIT"
] | 1 | 2022-01-19T11:04:21.000Z | 2022-01-19T11:04:21.000Z | """
Set of functions used by the PyRSM class to compute detection maps and optimize the parameters
of the RSM algorithm and PSF-subtraction techniques via the auto-RSM and auto-S/N frameworks
"""
__author__ = 'Carl-Henrik Dahlqvist'
from scipy.interpolate import Rbf
import pandas as pd
import numpy.linalg as la
from v... | 38.590982 | 242 | 0.614542 | 6,641 | 47,930 | 4.223611 | 0.107363 | 0.019894 | 0.00984 | 0.008984 | 0.526436 | 0.490677 | 0.428037 | 0.378873 | 0.350743 | 0.332775 | 0 | 0.0151 | 0.287023 | 47,930 | 1,241 | 243 | 38.622079 | 0.805695 | 0.202671 | 0 | 0.359331 | 0 | 0 | 0.039688 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033426 | false | 0.001393 | 0.023677 | 0 | 0.097493 | 0.018106 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
733a51b0598b93f7ddad878e61c9f58e36f463d6 | 4,618 | py | Python | src/custom_dataset.py | devJWSong/transformer-multiturn-dialogue-pytorch | 4ddedaef45f31d75e88bdb909a4451173faec4c8 | [
"MIT"
] | 11 | 2021-03-22T10:22:42.000Z | 2021-09-15T23:50:46.000Z | src/custom_dataset.py | devjwsong/transformer-chatbot-pytorch | 4ddedaef45f31d75e88bdb909a4451173faec4c8 | [
"MIT"
] | 1 | 2021-12-10T04:52:39.000Z | 2021-12-10T04:52:40.000Z | src/custom_dataset.py | devjwsong/transformer-chatbot-pytorch | 4ddedaef45f31d75e88bdb909a4451173faec4c8 | [
"MIT"
] | null | null | null | from torch.utils.data import Dataset
from tqdm import tqdm
import torch
import pickle
import json
class CustomDataset(Dataset):
def __init__(self, args, tokenizer, data_type):
assert data_type in ["train", "valid", "test"]
print(f"Loading {data_type} data...")
with open(f"{args.t... | 38.483333 | 129 | 0.529017 | 580 | 4,618 | 3.968966 | 0.201724 | 0.078193 | 0.047785 | 0.02954 | 0.219809 | 0.16073 | 0.128584 | 0.046916 | 0.046916 | 0.046916 | 0 | 0.007473 | 0.362495 | 4,618 | 120 | 130 | 38.483333 | 0.774457 | 0.038545 | 0 | 0.045455 | 0 | 0 | 0.052121 | 0.019404 | 0 | 0 | 0 | 0 | 0.056818 | 1 | 0.079545 | false | 0 | 0.056818 | 0.022727 | 0.215909 | 0.068182 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
733b44cae4895b7b97c2632f68beb2990e9371cb | 370 | py | Python | benchmark_python_lkml.py | Ladvien/rust_lookml_parser | a99a9663f2e0ccd0e7eff0fb6ec4f4496032265c | [
"MIT"
] | null | null | null | benchmark_python_lkml.py | Ladvien/rust_lookml_parser | a99a9663f2e0ccd0e7eff0fb6ec4f4496032265c | [
"MIT"
] | null | null | null | benchmark_python_lkml.py | Ladvien/rust_lookml_parser | a99a9663f2e0ccd0e7eff0fb6ec4f4496032265c | [
"MIT"
] | null | null | null | import lkml
from time import time_ns
from rich import print
FILE_PATH = "/Users/ladvien/rusty_looker/src/resources/test.lkml"
with open(FILE_PATH, "r") as f:
lookml = f.read()
startTime = time_ns() // 1_000_000
result = lkml.load(lookml)
print(result)
executionTime = (time_ns() // 1_000_000) - startTime
print('... | 26.428571 | 65 | 0.735135 | 57 | 370 | 4.596491 | 0.578947 | 0.068702 | 0.053435 | 0.076336 | 0.099237 | 0 | 0 | 0 | 0 | 0 | 0 | 0.043887 | 0.137838 | 370 | 14 | 66 | 26.428571 | 0.777429 | 0 | 0 | 0 | 0 | 0 | 0.212938 | 0.137466 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.272727 | 0 | 0.272727 | 0.272727 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
733c41f200ce9ccff635234faca97343a23e5190 | 1,595 | py | Python | Linear_Regression.py | svdeepak99/TSA-Twitter_Sentiment_Analysis | 41c13682ccc110025c5fbd396c0982d54febc6cc | [
"MIT"
] | null | null | null | Linear_Regression.py | svdeepak99/TSA-Twitter_Sentiment_Analysis | 41c13682ccc110025c5fbd396c0982d54febc6cc | [
"MIT"
] | null | null | null | Linear_Regression.py | svdeepak99/TSA-Twitter_Sentiment_Analysis | 41c13682ccc110025c5fbd396c0982d54febc6cc | [
"MIT"
] | null | null | null | from keras.models import Sequential, load_model
from keras.layers import Dense
import csv
import numpy as np
import os
LOAD_MODEL = False
with open("Linear_Regression/Normalized_Attributes.csv", "r", newline='') as fp:
reader = csv.reader(fp)
headings = next(reader)
dataset = np.array(list(read... | 32.55102 | 116 | 0.680251 | 238 | 1,595 | 4.466387 | 0.344538 | 0.09031 | 0.039511 | 0.067733 | 0.19285 | 0.19285 | 0.088429 | 0.060207 | 0.060207 | 0 | 0 | 0.023478 | 0.145455 | 1,595 | 48 | 117 | 33.229167 | 0.75642 | 0 | 0 | 0.055556 | 0 | 0 | 0.208145 | 0.155139 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.138889 | 0 | 0.138889 | 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 |
733c8d8b8ea4cf5eaafe8785802f0c3c067c38ff | 3,141 | py | Python | UserCode/bressler/multibubblescintillationcheck.py | cericdahl/SBCcode | 90a7841a5c1208d64f71a332289d9005a011aa21 | [
"MIT"
] | 4 | 2018-08-27T18:02:34.000Z | 2020-06-09T21:19:04.000Z | UserCode/bressler/multibubblescintillationcheck.py | SBC-Collaboration/SBC-Analysis | 90a7841a5c1208d64f71a332289d9005a011aa21 | [
"MIT"
] | null | null | null | UserCode/bressler/multibubblescintillationcheck.py | SBC-Collaboration/SBC-Analysis | 90a7841a5c1208d64f71a332289d9005a011aa21 | [
"MIT"
] | 4 | 2019-06-20T21:36:26.000Z | 2020-11-10T17:23:14.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Mar 2 19:33:02 2021
@author: bressler
"""
import SBCcode as sbc
import numpy as np
import pulse_integrator as pi
import gc
def check_multibub_scintillation(run, event, at0, PMTgain, PMTwindow):
tstart = PMTwindow[0]
t_end= PMTwindow[1]
sc... | 36.523256 | 97 | 0.539 | 391 | 3,141 | 4.230179 | 0.421995 | 0.006046 | 0.018138 | 0.022975 | 0.102781 | 0.055623 | 0.055623 | 0 | 0 | 0 | 0 | 0.035173 | 0.348297 | 3,141 | 86 | 98 | 36.523256 | 0.772838 | 0.155365 | 0 | 0.042553 | 0 | 0 | 0.096686 | 0.030413 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.085106 | 0 | 0.148936 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
733e97b6658e7e2eb8c13752d62cc0a274acaa1f | 1,533 | py | Python | ceibacli/job_schedulers/slurm.py | cffbots/ceiba-cli | 7e77199c1fe919f024c4707b65578fec320713a6 | [
"Apache-2.0"
] | 2 | 2020-11-10T08:52:15.000Z | 2020-11-10T08:52:17.000Z | ceibacli/job_schedulers/slurm.py | cffbots/ceiba-cli | 7e77199c1fe919f024c4707b65578fec320713a6 | [
"Apache-2.0"
] | 24 | 2020-09-22T09:58:38.000Z | 2021-01-14T11:02:33.000Z | ceibacli/job_schedulers/slurm.py | cffbots/ceiba-cli | 7e77199c1fe919f024c4707b65578fec320713a6 | [
"Apache-2.0"
] | 1 | 2022-02-03T13:46:07.000Z | 2022-02-03T13:46:07.000Z | """Interface to the `SLURM job scheduler <https://slurm.schedmd.com/documentation.html>`_
.. autofunction:: create_slurm_script
"""
from pathlib import Path
from typing import Any, Dict, List
from ..utils import Options
def create_slurm_script(opts: Options, jobs: List[Dict[str, Any]], jobs_metadata: List[Options]... | 29.480769 | 104 | 0.666014 | 203 | 1,533 | 4.931034 | 0.428571 | 0.032967 | 0.044955 | 0.033966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.209393 | 1,533 | 51 | 105 | 30.058824 | 0.825908 | 0.242661 | 0 | 0 | 0 | 0 | 0.19106 | 0.048203 | 0 | 0 | 0 | 0 | 0 | 1 | 0.071429 | false | 0 | 0.107143 | 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 |
733ee42203016605540515b9f13fedcc898ddec0 | 5,290 | py | Python | thumbor/url.py | wking/thumbor | 97a55594a67e3cf3b5e7d09cde5944bc821eeb1e | [
"MIT"
] | null | null | null | thumbor/url.py | wking/thumbor | 97a55594a67e3cf3b5e7d09cde5944bc821eeb1e | [
"MIT"
] | null | null | null | thumbor/url.py | wking/thumbor | 97a55594a67e3cf3b5e7d09cde5944bc821eeb1e | [
"MIT"
] | null | null | null | #!/usr/bin/python
# -*- coding: utf-8 -*-
# thumbor imaging service
# https://github.com/thumbor/thumbor/wiki
# Licensed under the MIT license:
# http://www.opensource.org/licenses/mit-license
# Copyright (c) 2011 globo.com timehome@corp.globo.com
import re
from urllib import quote
class Url(object):
unsafe_o... | 31.117647 | 119 | 0.479017 | 579 | 5,290 | 4.24525 | 0.188256 | 0.043938 | 0.058584 | 0.029292 | 0.065907 | 0.03987 | 0.020342 | 0.020342 | 0 | 0 | 0 | 0.004399 | 0.355388 | 5,290 | 169 | 120 | 31.301775 | 0.716422 | 0.04518 | 0 | 0.045455 | 0 | 0.022727 | 0.19413 | 0.098156 | 0 | 0 | 0 | 0 | 0 | 1 | 0.030303 | false | 0 | 0.015152 | 0.007576 | 0.189394 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
73401ec9a9c7c85f7251558930f267232a9f7bb1 | 3,275 | py | Python | blackjack/game.py | cuiqui/blackjack | 5ecb0ae1c065fa284c2209222f6f958e1f514249 | [
"MIT"
] | null | null | null | blackjack/game.py | cuiqui/blackjack | 5ecb0ae1c065fa284c2209222f6f958e1f514249 | [
"MIT"
] | null | null | null | blackjack/game.py | cuiqui/blackjack | 5ecb0ae1c065fa284c2209222f6f958e1f514249 | [
"MIT"
] | null | null | null | import constants as c
from deck import Deck
from player import Human, RandomAI
class Game:
def __init__(self):
self.deck = None
self.players = None
self.scores = None
self.rounds_left = None
self.game_over = False
def new(self):
self.game_over = F... | 31.490385 | 102 | 0.487328 | 386 | 3,275 | 4.059585 | 0.300518 | 0.051053 | 0.044671 | 0.021698 | 0.028079 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006817 | 0.41771 | 3,275 | 103 | 103 | 31.796117 | 0.814893 | 0.164275 | 0 | 0.115942 | 0 | 0.014493 | 0.097021 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.101449 | false | 0 | 0.043478 | 0 | 0.173913 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |