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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
af1cd328ee95b3ce28045b665a6e2190194f9a9c | 2,849 | py | Python | eoxserver/services/opensearch/extensions/cql.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 25 | 2015-08-10T19:34:34.000Z | 2021-02-05T08:28:01.000Z | eoxserver/services/opensearch/extensions/cql.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 153 | 2015-01-20T08:35:49.000Z | 2022-03-16T11:00:56.000Z | eoxserver/services/opensearch/extensions/cql.py | kalxas/eoxserver | 8073447d926f3833923bde7b7061e8a1658dee06 | [
"OML"
] | 10 | 2015-01-23T15:48:30.000Z | 2021-01-21T15:41:18.000Z | # ------------------------------------------------------------------------------
#
# Project: EOxServer <http://eoxserver.org>
# Authors: Fabian Schindler <fabian.schindler@eox.at>
#
# ------------------------------------------------------------------------------
# Copyright (C) 2017 EOX IT Services GmbH
#
# Permission... | 39.569444 | 80 | 0.614953 | 336 | 2,849 | 5.169643 | 0.520833 | 0.044329 | 0.01612 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009507 | 0.22464 | 2,849 | 71 | 81 | 40.126761 | 0.776822 | 0.532117 | 0 | 0 | 0 | 0 | 0.156347 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064516 | false | 0 | 0.096774 | 0.032258 | 0.354839 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af1d6a6d06805cdde1b38ccbd57154e51315542b | 31,786 | py | Python | examples/quadruped3D.py | alknemeyer/physical_education | 7bcad4111bc153a0c9c080f11a43295bd1d8c425 | [
"MIT"
] | 5 | 2020-09-27T14:00:12.000Z | 2022-01-31T09:06:37.000Z | examples/quadruped3D.py | alknemeyer/physical_education | 7bcad4111bc153a0c9c080f11a43295bd1d8c425 | [
"MIT"
] | 8 | 2020-09-27T15:02:28.000Z | 2022-03-28T13:51:38.000Z | examples/quadruped3D.py | alknemeyer/physical_education | 7bcad4111bc153a0c9c080f11a43295bd1d8c425 | [
"MIT"
] | 2 | 2020-09-27T14:01:39.000Z | 2022-01-21T09:47:54.000Z | from typing import Any, Dict, Iterable, List, Optional, Tuple, Callable
from math import pi as π
from sympy import Matrix as Mat
from numpy import ndarray
from physical_education.links import Link3D, constrain_rel_angle
from physical_education.system import System3D
from physical_education.foot import add_foot, feet, ... | 40.337563 | 146 | 0.541622 | 4,478 | 31,786 | 3.709022 | 0.149174 | 0.013005 | 0.009633 | 0.016858 | 0.377928 | 0.312722 | 0.264315 | 0.229454 | 0.185321 | 0.163827 | 0 | 0.04039 | 0.305984 | 31,786 | 787 | 147 | 40.388818 | 0.712511 | 0.209904 | 0 | 0.201699 | 0 | 0.002123 | 0.150993 | 0.007998 | 0 | 0 | 0 | 0.001271 | 0.004246 | 1 | 0.027601 | false | 0 | 0.063694 | 0.008493 | 0.11465 | 0.004246 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af1dd273f6773d5545946eaa77b49cdb5d3fee31 | 982 | py | Python | data_visualization/data_visualization.py | or-tal-robotics/mcl_pi | 02d9b3bdd68c54afde36da320e1ce4bdc8d057d8 | [
"Apache-2.0"
] | 3 | 2019-05-07T13:48:45.000Z | 2020-09-02T15:10:35.000Z | data_visualization/data_visualization.py | or-tal-robotics/MCL_PI | 02d9b3bdd68c54afde36da320e1ce4bdc8d057d8 | [
"Apache-2.0"
] | null | null | null | data_visualization/data_visualization.py | or-tal-robotics/MCL_PI | 02d9b3bdd68c54afde36da320e1ce4bdc8d057d8 | [
"Apache-2.0"
] | 2 | 2021-01-28T23:34:21.000Z | 2021-06-29T05:33:35.000Z | #!/usr/bin/env python
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
def main():
data_komodo = pd.read_csv('komodo.csv',sep=',')
data_armadillo = pd.read_csv('armadillo.csv',sep=',')
data_visualization(data_komodo)
data_visualization(data_armadillo)
def data_visualizatio... | 25.179487 | 88 | 0.588595 | 148 | 982 | 3.72973 | 0.310811 | 0.092391 | 0.11413 | 0.119565 | 0.076087 | 0.076087 | 0.076087 | 0 | 0 | 0 | 0 | 0.017219 | 0.231161 | 982 | 39 | 89 | 25.179487 | 0.713907 | 0.020367 | 0 | 0.068966 | 0 | 0 | 0.040583 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.103448 | 0 | 0.172414 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af1ff2337c60e542c9bcc64ce74be8ee36948153 | 1,822 | py | Python | pyasice/tests/test_tsa.py | vgaicuks/pyasice | 4e955a4aedc319199dfd367d1d092ba99f4fe1c2 | [
"0BSD"
] | 6 | 2021-02-04T13:15:13.000Z | 2022-02-04T17:21:40.000Z | pyasice/tests/test_tsa.py | vgaicuks/pyasice | 4e955a4aedc319199dfd367d1d092ba99f4fe1c2 | [
"0BSD"
] | 5 | 2020-10-26T14:43:34.000Z | 2021-12-27T14:40:10.000Z | pyasice/tests/test_tsa.py | thorgate/pyasice | 4423b7251392c7bf6bc5d14800b9b396b8eb2222 | [
"0BSD"
] | 1 | 2021-07-21T15:36:31.000Z | 2021-07-21T15:36:31.000Z | import hashlib
from unittest.mock import Mock, patch
from asn1crypto.cms import ContentInfo
from asn1crypto.tsp import PKIStatus, PKIStatusInfo, TimeStampResp
from pyasice.tsa import requests, TSA
class MockResponse(Mock):
status_code = 200
headers = {"Content-Type": TSA.RESPONSE_CONTENT_TYPE}
def test_ts... | 31.964912 | 81 | 0.63337 | 204 | 1,822 | 5.338235 | 0.333333 | 0.055096 | 0.064279 | 0.066116 | 0.05326 | 0.05326 | 0 | 0 | 0 | 0 | 0 | 0.008989 | 0.267289 | 1,822 | 56 | 82 | 32.535714 | 0.806742 | 0 | 0 | 0 | 0 | 0 | 0.115258 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 1 | 0.069767 | false | 0 | 0.116279 | 0 | 0.255814 | 0.046512 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af2278683fee1298b0caf86e836a20709cd9fe8a | 1,619 | py | Python | deploy/gpu/aws/launch_aws.py | ysglh/DeepVideoAnalytics | ce807cc1595c813250bb4bc7dfc6fb76cd644335 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | 3 | 2019-03-05T00:46:56.000Z | 2021-11-26T10:20:40.000Z | deploy/gpu/aws/launch_aws.py | jiangxu87/DeepVideoAnalytics | e401b3273782409b2604657514bec293d6aa75b0 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | null | null | null | deploy/gpu/aws/launch_aws.py | jiangxu87/DeepVideoAnalytics | e401b3273782409b2604657514bec293d6aa75b0 | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | 4 | 2021-09-22T07:47:27.000Z | 2022-01-23T14:16:08.000Z | #!/usr/bin/env python
import logging, boto3, subprocess
logging.basicConfig(level=logging.INFO,
format='%(asctime)s %(name)-12s %(levelname)-8s %(message)s',
datefmt='%m-%d %H:%M',
filename='../../logs/cloud.log',
filemode='a')
from config... | 52.225806 | 189 | 0.546016 | 163 | 1,619 | 5.288344 | 0.674847 | 0.025522 | 0.037123 | 0.053364 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034234 | 0.314392 | 1,619 | 31 | 190 | 52.225806 | 0.742342 | 0.012353 | 0 | 0 | 0 | 0.035714 | 0.201376 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af235ba38a9be96557da2c0dd0d6fdf8cdff77b7 | 604 | py | Python | Arduino/DFRobot_BMP388-master/DFRobot_BMP388-master/raspbarry/example/I2CReadTemperature/I2CReadTemperature.py | giglioq/Ocean-Buoy | c30151b7af974733260f57d1d3eefe0a1d63be90 | [
"MIT"
] | 2 | 2021-06-18T09:34:05.000Z | 2021-06-18T09:52:18.000Z | Arduino/DFRobot_BMP388-master/DFRobot_BMP388-master/raspbarry/example/I2CReadTemperature/I2CReadTemperature.py | giglioq/Ocean-Buoy | c30151b7af974733260f57d1d3eefe0a1d63be90 | [
"MIT"
] | null | null | null | Arduino/DFRobot_BMP388-master/DFRobot_BMP388-master/raspbarry/example/I2CReadTemperature/I2CReadTemperature.py | giglioq/Ocean-Buoy | c30151b7af974733260f57d1d3eefe0a1d63be90 | [
"MIT"
] | null | null | null | # Connect bmp388 and esp32 via I2C.
#
# Warning:
# This demo only supports python3.
# Run this demo : python3 I2CreadTemperature.py
#
# connect:
# raspberry bmp388
# 3.3v(1) VCC
# GND(6) GND
# SCL(5) SCL
# SDA(3) SDA
# BMP388_I2C_ADDR = 0x76: pin SDO is low
# BMP38... | 22.37037 | 49 | 0.652318 | 87 | 604 | 4.45977 | 0.609195 | 0.069588 | 0.06701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.128889 | 0.254967 | 604 | 27 | 50 | 22.37037 | 0.733333 | 0.668874 | 0 | 0 | 0 | 0 | 0.097826 | 0 | 0 | 0 | 0.021739 | 0 | 0 | 1 | 0 | false | 0 | 0.285714 | 0 | 0.285714 | 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 |
af25fd66be9e5c7407f8446bd876b6900df66a06 | 2,037 | py | Python | conanfile_installer.py | madebr/conan-vulkan_lunarg | d805ad7c8628587033140dd8bf458c798f355165 | [
"MIT"
] | 4 | 2019-06-08T23:54:02.000Z | 2020-11-10T20:57:54.000Z | conanfile_installer.py | madebr/conan-lunarg_vulkan_sdk | d805ad7c8628587033140dd8bf458c798f355165 | [
"MIT"
] | 1 | 2019-08-16T13:27:59.000Z | 2019-08-16T13:27:59.000Z | conanfile_installer.py | madebr/conan-lunarg_vulkan_sdk | d805ad7c8628587033140dd8bf458c798f355165 | [
"MIT"
] | 2 | 2019-07-30T20:52:50.000Z | 2020-06-26T11:00:52.000Z | # -*- coding: utf-8 -*-
import os
from conanfile_base import ConanFileBase
class ConanFileInstaller(ConanFileBase):
name = "vulkan_lunarg_installer"
exports = ConanFileBase.exports + ["conanfile_base.py"]
settings = "os_build", "arch_build"
_is_installer = True
def package(self):
if sel... | 46.295455 | 95 | 0.63623 | 257 | 2,037 | 4.836576 | 0.249027 | 0.088496 | 0.080451 | 0.102977 | 0.552695 | 0.509252 | 0.411907 | 0.292035 | 0.255833 | 0.255833 | 0 | 0.006984 | 0.226804 | 2,037 | 43 | 96 | 47.372093 | 0.782222 | 0.010309 | 0 | 0.171429 | 0 | 0 | 0.117676 | 0.01142 | 0 | 0 | 0 | 0 | 0 | 1 | 0.057143 | false | 0 | 0.057143 | 0 | 0.257143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af26f7f77af7f12e0aa08bff53add63e6fd4a8b4 | 10,384 | py | Python | torch_geometric/nn/models/gnn_explainer.py | NucciTheBoss/pytorch_geometric | e220a2c08fa1b2f1672d616c22eac2a67b5c8967 | [
"MIT"
] | 2,350 | 2021-09-12T08:32:50.000Z | 2022-03-31T18:09:36.000Z | torch_geometric/nn/models/gnn_explainer.py | NucciTheBoss/pytorch_geometric | e220a2c08fa1b2f1672d616c22eac2a67b5c8967 | [
"MIT"
] | 588 | 2021-09-12T08:49:08.000Z | 2022-03-31T21:02:13.000Z | torch_geometric/nn/models/gnn_explainer.py | NucciTheBoss/pytorch_geometric | e220a2c08fa1b2f1672d616c22eac2a67b5c8967 | [
"MIT"
] | 505 | 2021-09-13T13:13:32.000Z | 2022-03-31T15:54:00.000Z | from math import sqrt
from typing import Optional
import torch
from tqdm import tqdm
from torch_geometric.nn.models.explainer import (
Explainer,
clear_masks,
set_masks,
)
EPS = 1e-15
class GNNExplainer(Explainer):
r"""The GNN-Explainer model from the `"GNNExplainer: Generating
Explanations for... | 39.037594 | 79 | 0.600443 | 1,357 | 10,384 | 4.397937 | 0.180545 | 0.045576 | 0.044236 | 0.032172 | 0.561327 | 0.511227 | 0.468834 | 0.427279 | 0.41756 | 0.396783 | 0 | 0.008545 | 0.289965 | 10,384 | 265 | 80 | 39.184906 | 0.800895 | 0.305759 | 0 | 0.44586 | 0 | 0 | 0.048978 | 0.003912 | 0 | 0 | 0 | 0 | 0.006369 | 1 | 0.044586 | false | 0 | 0.031847 | 0.006369 | 0.11465 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af2bf330f5c58cef255d60fd7059e9b558223019 | 552 | py | Python | services/web/freq_demo/admin.py | mnesvold/freq | 27fb15a825e44458c776f4135abf516e751b3fb8 | [
"MIT"
] | null | null | null | services/web/freq_demo/admin.py | mnesvold/freq | 27fb15a825e44458c776f4135abf516e751b3fb8 | [
"MIT"
] | null | null | null | services/web/freq_demo/admin.py | mnesvold/freq | 27fb15a825e44458c776f4135abf516e751b3fb8 | [
"MIT"
] | null | null | null | from django.contrib import admin
from django.contrib.auth.forms import AuthenticationForm
def customize_admin():
admin.site.site_header = 'Feature Request Tracker'
admin.site.site_title = 'Freq'
admin.site.index_title = 'Track Feature Requests with Freq'
admin.site.site_url = None
# allow non-staf... | 32.470588 | 63 | 0.75 | 78 | 552 | 5.153846 | 0.512821 | 0.134328 | 0.097015 | 0.089552 | 0.099502 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177536 | 552 | 16 | 64 | 34.5 | 0.885463 | 0.13587 | 0 | 0 | 0 | 0 | 0.124473 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.181818 | 0.090909 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af2ded2bcaaf00693925512eeea11c00ded8df3d | 3,842 | py | Python | TelegramBot/TelegramBot.py | Henrik168/TelegramBot | 6b11fc47218d616f1a4acfe7ac6494cb802491b9 | [
"MIT"
] | null | null | null | TelegramBot/TelegramBot.py | Henrik168/TelegramBot | 6b11fc47218d616f1a4acfe7ac6494cb802491b9 | [
"MIT"
] | null | null | null | TelegramBot/TelegramBot.py | Henrik168/TelegramBot | 6b11fc47218d616f1a4acfe7ac6494cb802491b9 | [
"MIT"
] | null | null | null | import logging
from dataclasses import dataclass
import TelegramBot.lib_requests as lib_requests
import CustomLogger
@dataclass
class MessageData:
last_message: str
chatroom_id: str
sender_id: str
sender_name: str
@property
def command(self):
if not self.last_message[:1] == "/":
... | 35.574074 | 110 | 0.60151 | 453 | 3,842 | 4.960265 | 0.203091 | 0.071206 | 0.040053 | 0.039163 | 0.291055 | 0.205607 | 0.192701 | 0.11215 | 0.11215 | 0.11215 | 0 | 0.002857 | 0.271213 | 3,842 | 107 | 111 | 35.906542 | 0.799643 | 0.05518 | 0 | 0.083333 | 0 | 0 | 0.195836 | 0.013787 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097222 | false | 0 | 0.055556 | 0 | 0.347222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af2fe4de9eede3a49c06c050ed3b255d1c2f19b7 | 2,275 | py | Python | Oski/Notifier.py | mbanderson/Oski | beb68ee5ba4af23d726345d5f726a52d5adfae73 | [
"MIT"
] | null | null | null | Oski/Notifier.py | mbanderson/Oski | beb68ee5ba4af23d726345d5f726a52d5adfae73 | [
"MIT"
] | null | null | null | Oski/Notifier.py | mbanderson/Oski | beb68ee5ba4af23d726345d5f726a52d5adfae73 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Notifies subscribers of new articles."""
import smtplib
from email.mime.multipart import MIMEMultipart
from email.mime.text import MIMEText
class Email:
"""Formats email content as a MIME message."""
def __init__(self, sender, receiver, subject, content, use_html=False):
self... | 27.409639 | 75 | 0.607473 | 256 | 2,275 | 5.222656 | 0.3125 | 0.067315 | 0.024682 | 0.035901 | 0.110696 | 0.07629 | 0 | 0 | 0 | 0 | 0 | 0.001845 | 0.285275 | 2,275 | 83 | 76 | 27.409639 | 0.820418 | 0.126593 | 0 | 0.293103 | 0 | 0 | 0.03117 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.189655 | false | 0 | 0.051724 | 0.068966 | 0.431034 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af33d38936d36aba5ecfba4eb2562457febb889c | 673 | py | Python | repalette/utils/notify.py | danielgafni/repalette | 9317fc4f164ef04500a47e37a5b0bd3917a82516 | [
"Apache-2.0"
] | 18 | 2021-05-04T15:26:59.000Z | 2022-01-04T17:17:23.000Z | repalette/utils/notify.py | danielgafni/repalette | 9317fc4f164ef04500a47e37a5b0bd3917a82516 | [
"Apache-2.0"
] | 3 | 2020-11-07T14:45:28.000Z | 2021-05-05T17:04:22.000Z | repalette/utils/notify.py | danielgafni/repalette | 9317fc4f164ef04500a47e37a5b0bd3917a82516 | [
"Apache-2.0"
] | 2 | 2021-05-04T15:54:31.000Z | 2021-05-05T00:15:20.000Z | import asyncio
import discord
import nest_asyncio
from repalette.constants import DISCORD_BOT_TOKEN
async def __notify_discord(channel_id, message):
client = discord.Client()
async def __send_message():
await client.wait_until_ready()
await client.get_channel(channel_id).send(message)
... | 21.709677 | 58 | 0.702823 | 82 | 673 | 5.378049 | 0.378049 | 0.102041 | 0.136054 | 0.14966 | 0.145125 | 0.145125 | 0 | 0 | 0 | 0 | 0 | 0 | 0.218425 | 673 | 30 | 59 | 22.433333 | 0.838403 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.190476 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af34c785490cf98dfc2a7f4269f8b57f92aab889 | 4,404 | py | Python | tests/test_main.py | sforzando/q-lako | dcf31fdc50147415a1da7c5b411568478984e31a | [
"MIT"
] | null | null | null | tests/test_main.py | sforzando/q-lako | dcf31fdc50147415a1da7c5b411568478984e31a | [
"MIT"
] | 79 | 2020-10-06T08:34:44.000Z | 2020-12-12T17:28:53.000Z | tests/test_main.py | sforzando/q-lako | dcf31fdc50147415a1da7c5b411568478984e31a | [
"MIT"
] | null | null | null | import logging
import pytest
from werkzeug.datastructures import ImmutableMultiDict
from main import app
@pytest.fixture
def test_client():
app.config["TESTING"] = True
return app.test_client()
def test_GET_index(test_client):
response = test_client.get("/")
assert response.status_code == 200
... | 40.036364 | 110 | 0.719573 | 551 | 4,404 | 5.557169 | 0.275862 | 0.111039 | 0.082299 | 0.055846 | 0.596016 | 0.571522 | 0.510124 | 0.449053 | 0.363488 | 0.317766 | 0 | 0.018423 | 0.161898 | 4,404 | 109 | 111 | 40.40367 | 0.81035 | 0 | 0 | 0.2 | 0 | 0.0125 | 0.340372 | 0.023842 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.1625 | false | 0 | 0.05 | 0 | 0.225 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af35346b37ed36d8f98147a976a6e4de22d8db47 | 849 | py | Python | data/external/repositories_2to3/126714/kaggle-avazu-master/script/append.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/126714/kaggle-avazu-master/script/append.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | null | null | null | data/external/repositories_2to3/126714/kaggle-avazu-master/script/append.py | Keesiu/meta-kaggle | 87de739aba2399fd31072ee81b391f9b7a63f540 | [
"MIT"
] | 1 | 2019-12-04T08:23:33.000Z | 2019-12-04T08:23:33.000Z | f1 = open("../train_pre_1")
f2 = open("../test_pre_1")
out1 = open("../train_pre_1b","w")
out2 = open("../test_pre_1b","w")
t = open("../train_gbdt_out")
v = open("../test_gbdt_out")
add = []
for i in range(30,49):
add.append("C" + str(i))
line = f1.readline()
print(line[:-1] + "," + ",".join(add), file=ou... | 23.583333 | 50 | 0.537102 | 138 | 849 | 3.202899 | 0.275362 | 0.079186 | 0.040724 | 0.074661 | 0.380091 | 0.380091 | 0.380091 | 0.248869 | 0.248869 | 0.248869 | 0 | 0.074236 | 0.190813 | 849 | 35 | 51 | 24.257143 | 0.569141 | 0 | 0 | 0.181818 | 0 | 0 | 0.125307 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.121212 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af39c62b461abaa60323cf851d4989edf2ec5def | 851 | py | Python | run_learning.py | ZhaomingXie/RLAlg | dff9fc9be9417797ded428fc706cd779e638f7bf | [
"MIT"
] | null | null | null | run_learning.py | ZhaomingXie/RLAlg | dff9fc9be9417797ded428fc706cd779e638f7bf | [
"MIT"
] | null | null | null | run_learning.py | ZhaomingXie/RLAlg | dff9fc9be9417797ded428fc706cd779e638f7bf | [
"MIT"
] | 1 | 2020-05-29T01:37:42.000Z | 2020-05-29T01:37:42.000Z | from PPO import *
from TD3 import *
import argparse
parser = argparse.ArgumentParser()
parser.add_argument("--policy_path", required=True, type=str)
parser.add_argument("--stats_path", required=True, type=str)
parser.add_argument("--env", required=True, type=str)
parser.add_argument("--seed", required=True, type=int)
... | 31.518519 | 61 | 0.782609 | 135 | 851 | 4.740741 | 0.333333 | 0.0875 | 0.132813 | 0.089063 | 0.253125 | 0.18125 | 0.18125 | 0.125 | 0 | 0 | 0 | 0.00885 | 0.070505 | 851 | 27 | 62 | 31.518519 | 0.800253 | 0 | 0 | 0 | 0 | 0 | 0.071596 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.16 | 0 | 0.16 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af39df71abbbbebb35d3f9fbf9be1554dbe20b3c | 797 | py | Python | Sorting/bubble_sort.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | null | null | null | Sorting/bubble_sort.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | null | null | null | Sorting/bubble_sort.py | fredricksimi/leetcode | f6352c26914ca77f915f5994746ecf0b36efc89b | [
"MIT"
] | 1 | 2021-12-05T12:27:46.000Z | 2021-12-05T12:27:46.000Z | """
Bubble Sort:
"""
# Best: O(n) time | O(1) space
# Average: O(n^2) time | O(1) space
# Worst: O(n^2) time | O(1) space
def bubbleSort(array):
did_swap = False
while True:
did_swap = False
for idx in range(1, len(array)):
if array[idx] < array[idx-1]:
# swap
... | 26.566667 | 122 | 0.604768 | 131 | 797 | 3.648855 | 0.473282 | 0.100418 | 0.037657 | 0.069038 | 0.165272 | 0.058577 | 0.058577 | 0 | 0 | 0 | 0 | 0.016043 | 0.29611 | 797 | 29 | 123 | 27.482759 | 0.836007 | 0.141782 | 0 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af3d1abf4c4665c9462b07e2b917b4a51a0fdfc4 | 1,715 | py | Python | ccs1.py | derrickaw/operation_crypto | 6bf006a0a9246f6a9c5ae64b1bb395cc9d951c72 | [
"MIT"
] | null | null | null | ccs1.py | derrickaw/operation_crypto | 6bf006a0a9246f6a9c5ae64b1bb395cc9d951c72 | [
"MIT"
] | null | null | null | ccs1.py | derrickaw/operation_crypto | 6bf006a0a9246f6a9c5ae64b1bb395cc9d951c72 | [
"MIT"
] | null | null | null | # Crypto Challenge Set 1
"""
1. Convert hex to base64
2. Fixed buffer XOR
3.
"""
import base64
def convert_hex_to_base64(hex):
"""
Converts hex string to base64 encoding
:param hex: hex encoded string
:return: base64 encoded string
"""
# Convert hex to byte string
decoded_hex = bytearray... | 23.175676 | 77 | 0.661224 | 187 | 1,715 | 5.850267 | 0.304813 | 0.063985 | 0.065814 | 0.065814 | 0.080439 | 0 | 0 | 0 | 0 | 0 | 0 | 0.18124 | 0.266472 | 1,715 | 73 | 78 | 23.493151 | 0.688394 | 0.304373 | 0 | 0 | 0 | 0 | 0.244898 | 0.235138 | 0 | 0 | 0 | 0 | 0.090909 | 1 | 0.090909 | false | 0 | 0.045455 | 0 | 0.227273 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af3fd4c2face07438cfa2add7939e20eaaa6ebd0 | 7,748 | py | Python | o365_ip.py | satchm0h/o365_ip | 1845fc6e5a2414f23bbce82784f4e7f0cac6528b | [
"MIT"
] | 1 | 2020-11-01T11:03:01.000Z | 2020-11-01T11:03:01.000Z | o365_ip.py | satchm0h/o365_ip | 1845fc6e5a2414f23bbce82784f4e7f0cac6528b | [
"MIT"
] | null | null | null | o365_ip.py | satchm0h/o365_ip | 1845fc6e5a2414f23bbce82784f4e7f0cac6528b | [
"MIT"
] | null | null | null | #!/bin/env python3
import os
import sys
import json
import uuid
import argparse
import logging
import coloredlogs
import requests
# Defining the default values that can be overridden on the CLI
DEFAULTS = {
'guidfile': 'client-guid',
'outfile': 'last-dump',
'verfile': 'last-version',
'instance': 'Worl... | 33.834061 | 105 | 0.63126 | 944 | 7,748 | 5.068856 | 0.258475 | 0.022989 | 0.021735 | 0.020481 | 0.143365 | 0.108882 | 0.061651 | 0.046186 | 0.017137 | 0 | 0 | 0.002978 | 0.263294 | 7,748 | 228 | 106 | 33.982456 | 0.835319 | 0.141585 | 0 | 0.125 | 0 | 0 | 0.208548 | 0.026675 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072368 | false | 0 | 0.052632 | 0 | 0.164474 | 0.013158 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af4465eb1740d25f4243ab38dfe29940e3f43d6f | 1,508 | py | Python | pygame_matplotlib/gui_window.py | lionel42/pygame-matplotlib-backend | 7b15c06189e0b690a0ec5ba83e6b9759f940642e | [
"MIT"
] | 3 | 2021-12-13T17:56:15.000Z | 2022-03-03T21:00:24.000Z | pygame_matplotlib/gui_window.py | lionel42/pygame-matplotlib-backend | 7b15c06189e0b690a0ec5ba83e6b9759f940642e | [
"MIT"
] | 1 | 2021-11-28T12:02:52.000Z | 2021-12-21T09:04:41.000Z | pygame_matplotlib/gui_window.py | lionel42/pygame-matplotlib-backend | 7b15c06189e0b690a0ec5ba83e6b9759f940642e | [
"MIT"
] | null | null | null | """Contain a window with a plot for pygame_gui."""
from typing import Union
import pygame
import pygame_gui
from pygame_gui.core.interfaces.manager_interface import IUIManagerInterface
from pygame_gui.core.ui_element import ObjectID
from .backend_pygame import FigureSurface
import matplotlib
matplotlib.use("module:/... | 31.416667 | 76 | 0.670424 | 172 | 1,508 | 5.627907 | 0.372093 | 0.046488 | 0.055785 | 0.035124 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000878 | 0.244695 | 1,508 | 47 | 77 | 32.085106 | 0.84899 | 0.093501 | 0 | 0 | 0 | 0 | 0.043382 | 0.030147 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.189189 | 0 | 0.297297 | 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 |
af454b0c2f018d2a6fb480e99014829738475907 | 955 | py | Python | simpledu/handlers/front.py | xizhongzhao/simpledu | bf78435caa45d28118cdde3db73c078cf7ff55b1 | [
"Apache-2.0"
] | null | null | null | simpledu/handlers/front.py | xizhongzhao/simpledu | bf78435caa45d28118cdde3db73c078cf7ff55b1 | [
"Apache-2.0"
] | null | null | null | simpledu/handlers/front.py | xizhongzhao/simpledu | bf78435caa45d28118cdde3db73c078cf7ff55b1 | [
"Apache-2.0"
] | null | null | null | from flask import Blueprint,render_template,flash,url_for,redirect
from simpledu.models import Course
from simpledu.forms import LoginForm,RegisterForm
from flask_login import login_user
front = Blueprint('front',__name__)
@front.route('/')
def index():
courses = Course.query.all()
return render_template('ind... | 31.833333 | 66 | 0.710995 | 123 | 955 | 5.349594 | 0.382114 | 0.085106 | 0.091185 | 0.048632 | 0.066869 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.149738 | 955 | 29 | 67 | 32.931034 | 0.810345 | 0 | 0 | 0.08 | 0 | 0 | 0.114136 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.16 | 0 | 0.48 | 0.08 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af456070653a62afea1b52eac295ba59531bc4a5 | 6,151 | py | Python | main.py | sadegh1404/Refinedet_saffran | 3c756fe16b75e83630553b64cb9cb53203b9cb81 | [
"MIT"
] | null | null | null | main.py | sadegh1404/Refinedet_saffran | 3c756fe16b75e83630553b64cb9cb53203b9cb81 | [
"MIT"
] | null | null | null | main.py | sadegh1404/Refinedet_saffran | 3c756fe16b75e83630553b64cb9cb53203b9cb81 | [
"MIT"
] | null | null | null | import argparse
import numpy as np
import os
from os import path
import tensorflow as tf
from tensorflow.keras.callbacks import ModelCheckpoint
from models import RefineDetVGG16
from utils import read_jpeg_image, resize_image_and_boxes, absolute2relative
from saffran.saffran_data_loader import load_saffran_dataset
fro... | 35.761628 | 128 | 0.667859 | 840 | 6,151 | 4.709524 | 0.310714 | 0.035389 | 0.030081 | 0.034884 | 0.126896 | 0.086704 | 0.039434 | 0.020222 | 0 | 0 | 0 | 0.02316 | 0.213786 | 6,151 | 172 | 129 | 35.761628 | 0.794872 | 0.017396 | 0 | 0.054264 | 0 | 0 | 0.092053 | 0.019868 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03876 | false | 0 | 0.100775 | 0.015504 | 0.170543 | 0.054264 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af4ba5a904905887481da5fbd8875608d26d4c5d | 7,649 | py | Python | scripts/make_template.py | ebi-ait/lattice-tools | 7d72b04fae879f4330702df93bbfc0ea8a6bbdaa | [
"MIT"
] | null | null | null | scripts/make_template.py | ebi-ait/lattice-tools | 7d72b04fae879f4330702df93bbfc0ea8a6bbdaa | [
"MIT"
] | 3 | 2021-02-09T14:57:00.000Z | 2021-09-27T23:23:45.000Z | scripts/make_template.py | ebi-ait/lattice-tools | 7d72b04fae879f4330702df93bbfc0ea8a6bbdaa | [
"MIT"
] | 1 | 2022-02-23T14:21:17.000Z | 2022-02-23T14:21:17.000Z | import argparse
import gspread
import json
import lattice
import requests
import string
import sys
from collections import OrderedDict
from gspread_formatting import *
from oauth2client.service_account import ServiceAccountCredentials
from urllib.parse import urljoin
def getArgs():
parser = argparse.ArgumentParser... | 35.576744 | 130 | 0.697085 | 1,127 | 7,649 | 4.574978 | 0.221828 | 0.036074 | 0.029868 | 0.044802 | 0.242824 | 0.155935 | 0.11249 | 0.061676 | 0.048487 | 0.033747 | 0 | 0.007697 | 0.150739 | 7,649 | 214 | 131 | 35.742991 | 0.786022 | 0.152569 | 0 | 0.104651 | 0 | 0 | 0.173011 | 0.005416 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005814 | false | 0 | 0.063953 | 0 | 0.075581 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af4fa2ce445c7c2f288125fe751a69825469c270 | 8,191 | py | Python | tests/forte/data/vocabulary_test.py | bhaskar2443053/forte | 95fabd94126d45c0db07cdcc197049ed1859d228 | [
"Apache-2.0"
] | null | null | null | tests/forte/data/vocabulary_test.py | bhaskar2443053/forte | 95fabd94126d45c0db07cdcc197049ed1859d228 | [
"Apache-2.0"
] | null | null | null | tests/forte/data/vocabulary_test.py | bhaskar2443053/forte | 95fabd94126d45c0db07cdcc197049ed1859d228 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 The Forte Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable ... | 35.613043 | 80 | 0.561104 | 921 | 8,191 | 4.823018 | 0.263844 | 0.057407 | 0.040522 | 0.011706 | 0.171319 | 0.111436 | 0.047726 | 0.026565 | 0 | 0 | 0 | 0.013395 | 0.343792 | 8,191 | 229 | 81 | 35.768559 | 0.813023 | 0.165425 | 0 | 0.189349 | 0 | 0 | 0.034093 | 0 | 0 | 0 | 0 | 0 | 0.171598 | 1 | 0.029586 | false | 0 | 0.053254 | 0 | 0.094675 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af54d8608e299a17c445fa8a61556df44ff6ac62 | 3,402 | py | Python | scripts/crawler/sites/codeforces_loader.py | Takt29/CompetitiveProgrammingArena | 7b7dfbd103b9abd6ea00156f3b7f6f2d59e40dea | [
"MIT"
] | null | null | null | scripts/crawler/sites/codeforces_loader.py | Takt29/CompetitiveProgrammingArena | 7b7dfbd103b9abd6ea00156f3b7f6f2d59e40dea | [
"MIT"
] | null | null | null | scripts/crawler/sites/codeforces_loader.py | Takt29/CompetitiveProgrammingArena | 7b7dfbd103b9abd6ea00156f3b7f6f2d59e40dea | [
"MIT"
] | null | null | null | import sys
import json
from typing import Optional
from datetime import datetime, timezone
from .submissions_loader import Submission, SubmissionLoader, SubmissionStatus
class CodeforcesSubmissionLoader(SubmissionLoader):
def _normalize_status(self, external_status: str) -> SubmissionStatus:
patterns: lis... | 40.023529 | 82 | 0.620223 | 299 | 3,402 | 6.879599 | 0.381271 | 0.035002 | 0.042295 | 0.029169 | 0.032086 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004097 | 0.282481 | 3,402 | 84 | 83 | 40.5 | 0.838591 | 0.000882 | 0 | 0.029851 | 0 | 0 | 0.143362 | 0.040918 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029851 | false | 0 | 0.074627 | 0 | 0.164179 | 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 |
af55a7c4bf87a19d17230ce48e8785f847954198 | 891 | py | Python | config.py | johannes-gehrs/centos_packages | 31afe052011594e37175447eae8e7a192bdc9669 | [
"MIT"
] | 9 | 2016-04-17T02:09:47.000Z | 2022-02-16T15:50:43.000Z | config.py | johannes-gehrs/centos_packages | 31afe052011594e37175447eae8e7a192bdc9669 | [
"MIT"
] | null | null | null | config.py | johannes-gehrs/centos_packages | 31afe052011594e37175447eae8e7a192bdc9669 | [
"MIT"
] | 6 | 2016-09-10T17:42:29.000Z | 2021-11-28T09:06:36.000Z | from __future__ import absolute_import, division, unicode_literals
import os
import logging
OS_VERSIONS = ['6', '7']
DATA_DIR = '/tmp/centos_packages/'
REPO_BASE_URL = 'http://mirror.centos.org/centos/'
REPOSITORIES = ['os', 'updates', 'centosplus', 'extras', 'fasttrack']
REPOSITORIES_PRETTY = {'os': 'Base',
... | 29.7 | 70 | 0.637486 | 103 | 891 | 5.31068 | 0.601942 | 0.025594 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013062 | 0.226712 | 891 | 29 | 71 | 30.724138 | 0.780842 | 0.007856 | 0 | 0 | 0 | 0 | 0.238095 | 0.02381 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.130435 | 0.043478 | 0.217391 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af5737ecd87101e9cae87c5d6f7ba311642b6a63 | 2,622 | py | Python | bin/autogen.py | botleague/leaderboard-generator | 644bed2b056d04b604a09ab4f1ad78afbc4ceee7 | [
"MIT"
] | null | null | null | bin/autogen.py | botleague/leaderboard-generator | 644bed2b056d04b604a09ab4f1ad78afbc4ceee7 | [
"MIT"
] | null | null | null | bin/autogen.py | botleague/leaderboard-generator | 644bed2b056d04b604a09ab4f1ad78afbc4ceee7 | [
"MIT"
] | null | null | null | import os
import sys
import time
import logging
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHandler
def main():
logging.basicConfig(level=logging.INFO,
format='%(asctime)s - %(message)s',
datefmt='%Y-%m-%d %H:%M:%S')
# Don... | 28.5 | 76 | 0.644165 | 328 | 2,622 | 4.945122 | 0.301829 | 0.034525 | 0.051788 | 0.055487 | 0.364365 | 0.334155 | 0.19852 | 0.166461 | 0.138101 | 0.138101 | 0 | 0.002037 | 0.250953 | 2,622 | 91 | 77 | 28.813187 | 0.823829 | 0.02479 | 0 | 0.181818 | 0 | 0 | 0.083399 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.121212 | false | 0 | 0.136364 | 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 |
af57910bb3fe47ba44e22a72e31f84c5bdcbf609 | 10,239 | py | Python | mdstudio/mdstudio/api/endpoint.py | NLeSC/LIEStudio | 03c163b4a2590b4e2204621e1c941c28a9624887 | [
"Apache-2.0"
] | 10 | 2017-09-14T07:26:15.000Z | 2021-04-01T09:33:03.000Z | mdstudio/mdstudio/api/endpoint.py | NLeSC/LIEStudio | 03c163b4a2590b4e2204621e1c941c28a9624887 | [
"Apache-2.0"
] | 117 | 2017-09-13T08:09:48.000Z | 2019-10-03T12:19:13.000Z | mdstudio/mdstudio/api/endpoint.py | NLeSC/LIEStudio | 03c163b4a2590b4e2204621e1c941c28a9624887 | [
"Apache-2.0"
] | 1 | 2018-09-26T09:40:51.000Z | 2018-09-26T09:40:51.000Z | import json
import uuid
import six
from datetime import timedelta
from types import GeneratorType
from typing import Union, Optional, Callable
from jsonschema import ValidationError
from twisted.internet.defer import _inlineCallbacks, Deferred
from autobahn.wamp import RegisterOptions
from mdstudio.api.api_result imp... | 38.205224 | 133 | 0.614611 | 1,109 | 10,239 | 5.51037 | 0.171326 | 0.029455 | 0.02651 | 0.02291 | 0.330551 | 0.281623 | 0.220749 | 0.190967 | 0.163476 | 0.16233 | 0 | 0.001501 | 0.284305 | 10,239 | 267 | 134 | 38.348315 | 0.832424 | 0.032523 | 0 | 0.239437 | 0 | 0 | 0.085968 | 0.00788 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079812 | false | 0 | 0.079812 | 0.028169 | 0.230047 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af5b9601c04d7552ac03872881009c7fc625c108 | 1,832 | py | Python | numba/tests/test_ctypes.py | meawoppl/numba | bb8df0aee99133c6d52465ae9f9df2a7996339f3 | [
"BSD-2-Clause"
] | 1 | 2015-01-29T06:52:36.000Z | 2015-01-29T06:52:36.000Z | numba/tests/test_ctypes.py | meawoppl/numba | bb8df0aee99133c6d52465ae9f9df2a7996339f3 | [
"BSD-2-Clause"
] | null | null | null | numba/tests/test_ctypes.py | meawoppl/numba | bb8df0aee99133c6d52465ae9f9df2a7996339f3 | [
"BSD-2-Clause"
] | null | null | null | from __future__ import print_function, absolute_import, division
from ctypes import *
import sys
from numba import unittest_support as unittest
from numba.compiler import compile_isolated
from numba import types
is_windows = sys.platform.startswith('win32')
if not is_windows:
proc = CDLL(None)
c_sin = proc.s... | 24.105263 | 64 | 0.662664 | 234 | 1,832 | 4.92735 | 0.333333 | 0.027754 | 0.018213 | 0.065048 | 0.215091 | 0.171726 | 0.171726 | 0.171726 | 0.171726 | 0.171726 | 0 | 0.010925 | 0.250546 | 1,832 | 75 | 65 | 24.426667 | 0.828842 | 0.039301 | 0 | 0.18 | 0 | 0 | 0.024207 | 0 | 0 | 0 | 0 | 0 | 0.06 | 1 | 0.12 | false | 0 | 0.12 | 0.04 | 0.32 | 0.02 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af5fa4a7f4a8959df414d7dee58cac1a11ceef7d | 875 | py | Python | Preprocessing/PreprocessingX: Chunking.py | Om4AI/Semantic-Adherence-Checker-with-NLP | 7104f0fbe45ef79eb6ea0db9eec4dc7b4ff150fb | [
"MIT"
] | 1 | 2021-05-22T02:46:00.000Z | 2021-05-22T02:46:00.000Z | Preprocessing/PreprocessingX: Chunking.py | Om4AI/Semantic-Adherence-Checker-with-NLP | 7104f0fbe45ef79eb6ea0db9eec4dc7b4ff150fb | [
"MIT"
] | null | null | null | Preprocessing/PreprocessingX: Chunking.py | Om4AI/Semantic-Adherence-Checker-with-NLP | 7104f0fbe45ef79eb6ea0db9eec4dc7b4ff150fb | [
"MIT"
] | null | null | null | def chunk_process(corpus):
all_processed = []
for i in corpus:
train_text = i
train_text = train_text.lower()
custom_tokenizer = PunktSentenceTokenizer(train_text)
tokenized = custom_tokenizer.tokenize(train_text)
pro = chunk_process_content(tokenized)
all_processed.append(pro)
return all... | 23.648649 | 57 | 0.666286 | 122 | 875 | 4.639344 | 0.418033 | 0.079505 | 0.031802 | 0.053004 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.221714 | 875 | 36 | 58 | 24.305556 | 0.831131 | 0.168 | 0 | 0 | 0 | 0 | 0.027739 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.083333 | false | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af621cd414c91141313b31734d2740e917380a97 | 6,772 | py | Python | tensorflow_constrained_optimization/python/rates/subsettable_context_test.py | neelguha/tensorflow_constrained_optimization | 46b34d1c2d6ec05ea1e46db3bcc481a81e041637 | [
"Apache-2.0"
] | null | null | null | tensorflow_constrained_optimization/python/rates/subsettable_context_test.py | neelguha/tensorflow_constrained_optimization | 46b34d1c2d6ec05ea1e46db3bcc481a81e041637 | [
"Apache-2.0"
] | null | null | null | tensorflow_constrained_optimization/python/rates/subsettable_context_test.py | neelguha/tensorflow_constrained_optimization | 46b34d1c2d6ec05ea1e46db3bcc481a81e041637 | [
"Apache-2.0"
] | null | null | null | # Copyright 2018 The TensorFlow Constrained Optimization Authors. All Rights
# Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may not
# use this file except in compliance with the License. You may obtain a copy of
# the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
#... | 42.591195 | 80 | 0.656379 | 837 | 6,772 | 5.135006 | 0.188769 | 0.023732 | 0.022336 | 0.016752 | 0.487436 | 0.397859 | 0.388087 | 0.388087 | 0.336901 | 0.278269 | 0 | 0.041675 | 0.238187 | 6,772 | 158 | 81 | 42.860759 | 0.791432 | 0.266834 | 0 | 0.348315 | 0 | 0 | 0.001637 | 0 | 0 | 0 | 0 | 0 | 0.089888 | 1 | 0.044944 | false | 0 | 0.067416 | 0 | 0.134831 | 0.011236 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af6346ccaefda878793e2d456fe00155edd718ff | 483 | py | Python | m5.py | mohitalivenetsolutions/alivenet-python-training | 19968bbec0b9a44884e0175414342a8ca4ebb1fd | [
"MIT"
] | null | null | null | m5.py | mohitalivenetsolutions/alivenet-python-training | 19968bbec0b9a44884e0175414342a8ca4ebb1fd | [
"MIT"
] | 1 | 2018-07-17T17:09:38.000Z | 2018-07-17T17:09:38.000Z | m5.py | mohitalivenetsolutions/alivenet-python-training | 19968bbec0b9a44884e0175414342a8ca4ebb1fd | [
"MIT"
] | null | null | null | #list
list=["Apple","Mango","Banana","Pine Apple","Plum"]
for lst in list :
if lst=='Banana':
continue
else:
print(lst)
#tuples
tpls = ("apple", "banana", "cherry","banana",)
print("Tuples:",tpls)
#Set
st = set(("apple", "banana", "cherry"))
st.add("damson")
st.remove("banana")
pri... | 20.125 | 57 | 0.583851 | 62 | 483 | 4.548387 | 0.483871 | 0.117021 | 0.120567 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.182195 | 483 | 23 | 58 | 21 | 0.713924 | 0.047619 | 0 | 0 | 0 | 0 | 0.314088 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.3125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af63f358d135bd02b0acb291df904454267fe7f6 | 546 | py | Python | pokemon.py | videogamerm/pokemon_database | e33cb420fdd1053d55d178e230c095dedcffff76 | [
"MIT"
] | null | null | null | pokemon.py | videogamerm/pokemon_database | e33cb420fdd1053d55d178e230c095dedcffff76 | [
"MIT"
] | null | null | null | pokemon.py | videogamerm/pokemon_database | e33cb420fdd1053d55d178e230c095dedcffff76 | [
"MIT"
] | null | null | null | import sqlite3
import time
import random
conn = sqlite3.connect('pokemon.db')
c = conn.cursor()
id = 0
def dynamic_data_entry():
name = input ("Name: ")
health = input ("Health: ")
stage = input ("Stage:")
ptype = input("Type: ")
retreat = input ("Retreat: ")
year = input ("Year: ")
c.e... | 17.0625 | 56 | 0.580586 | 70 | 546 | 4.471429 | 0.542857 | 0.070288 | 0.102236 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019324 | 0.241758 | 546 | 31 | 57 | 17.612903 | 0.736715 | 0 | 0 | 0 | 0 | 0 | 0.164835 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045455 | false | 0 | 0.136364 | 0 | 0.181818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af6432d71105fd52d5f472fb3ff046ac0d326424 | 2,603 | py | Python | sqlpie/services/matcher.py | lessaworld/sqlpie | 22cac1fc7f9cb939e823058f84a68988e03ab239 | [
"MIT"
] | 3 | 2016-01-27T19:49:23.000Z | 2020-08-18T13:59:02.000Z | sqlpie/services/matcher.py | lessaworld/sqlpie | 22cac1fc7f9cb939e823058f84a68988e03ab239 | [
"MIT"
] | null | null | null | sqlpie/services/matcher.py | lessaworld/sqlpie | 22cac1fc7f9cb939e823058f84a68988e03ab239 | [
"MIT"
] | 1 | 2016-02-01T01:57:54.000Z | 2016-02-01T01:57:54.000Z | # -*- coding: utf-8 -*-
"""
SQLpie License (MIT License)
Copyright (c) 2011-2016 André Lessa, http://sqlpie.com
See LICENSE file.
"""
from flask import g
import sqlpie
import math, json
class Matcher(object):
def __init__(self):
pass
@staticmethod
def match_single(source_bucket, document_id, s... | 40.671875 | 124 | 0.659624 | 300 | 2,603 | 5.473333 | 0.353333 | 0.065773 | 0.054811 | 0.08039 | 0.226553 | 0.207674 | 0.167479 | 0.167479 | 0.140682 | 0.08648 | 0 | 0.007176 | 0.25048 | 2,603 | 63 | 125 | 41.31746 | 0.834444 | 0.151364 | 0 | 0.195122 | 0 | 0 | 0.044211 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0.02439 | 0.073171 | 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 |
af664d7b09e7e9a2561541c3ca78ef9e440f0b18 | 5,554 | py | Python | src/mlregression/estimator/boosting.py | muhlbach/ml-regression | 59dfa5acc9841729d632030492e029bb329ce3ed | [
"MIT"
] | 1 | 2021-11-12T22:45:32.000Z | 2021-11-12T22:45:32.000Z | src/mlregression/estimator/boosting.py | muhlbach/ml-regression | 59dfa5acc9841729d632030492e029bb329ce3ed | [
"MIT"
] | 1 | 2021-11-15T22:14:10.000Z | 2021-11-16T15:56:14.000Z | src/mlregression/estimator/boosting.py | muhlbach/ml-regression | 59dfa5acc9841729d632030492e029bb329ce3ed | [
"MIT"
] | null | null | null | #------------------------------------------------------------------------------
# Libraries
#------------------------------------------------------------------------------
# Standard
import numpy as np
import xgboost as xgb
import lightgbm as lgbm
#----------------------------------------------------------------------... | 39.112676 | 111 | 0.46507 | 453 | 5,554 | 5.335541 | 0.267108 | 0.029789 | 0.034754 | 0.021101 | 0.13405 | 0.084402 | 0.061233 | 0.061233 | 0 | 0 | 0 | 0.015808 | 0.339395 | 5,554 | 142 | 112 | 39.112676 | 0.642954 | 0.239287 | 0 | 0.254545 | 0 | 0 | 0.010322 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.018182 | false | 0 | 0.063636 | 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 |
af66914d6ab60784b54d7bda3a416c150d4d2a44 | 5,125 | py | Python | ICPAR/trainer.py | RichardLeeK/CNM | a3c15cb0a0373d6ad03c5a815a7e020f90ab8522 | [
"Apache-2.0"
] | null | null | null | ICPAR/trainer.py | RichardLeeK/CNM | a3c15cb0a0373d6ad03c5a815a7e020f90ab8522 | [
"Apache-2.0"
] | null | null | null | ICPAR/trainer.py | RichardLeeK/CNM | a3c15cb0a0373d6ad03c5a815a7e020f90ab8522 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D, Dense, Dropout, Flatten
import keras.backend as K
import random
import os
import sys
sys.setrecursionlimit(1000000)
def data_load_module(tf):
file = open('int/' + tf + '_1_int_rev.csv')
lines = file.readlines()
... | 26.832461 | 118 | 0.575415 | 872 | 5,125 | 3.222477 | 0.182339 | 0.006406 | 0.012811 | 0.029893 | 0.367972 | 0.339502 | 0.292883 | 0.233808 | 0.202491 | 0.202491 | 0 | 0.027145 | 0.238049 | 5,125 | 190 | 119 | 26.973684 | 0.692446 | 0.005854 | 0 | 0.269461 | 0 | 0 | 0.037299 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05988 | false | 0 | 0.041916 | 0 | 0.155689 | 0.017964 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af6cc52ba6e57b394d26f12154df2f51b1b57cc5 | 636 | py | Python | test/test_layers/test_flatten.py | radu-dogaru/numpyCNN | efe8749d7a35156ff9e67e7cc6df62a8077bf2ea | [
"MIT"
] | 19 | 2019-11-08T22:50:32.000Z | 2022-03-14T22:29:21.000Z | test/test_layers/test_flatten.py | radu-dogaru/numpyCNN | efe8749d7a35156ff9e67e7cc6df62a8077bf2ea | [
"MIT"
] | null | null | null | test/test_layers/test_flatten.py | radu-dogaru/numpyCNN | efe8749d7a35156ff9e67e7cc6df62a8077bf2ea | [
"MIT"
] | 7 | 2020-06-15T08:03:41.000Z | 2021-10-01T11:22:58.000Z | import unittest
import numpy as np
from src.layers.flatten import Flatten
class TestFlatten(unittest.TestCase):
def test_flatten(self):
batch_size = 10
n_h, n_w, n_c = 32, 32, 3
a_prev = np.random.randn(batch_size, n_h, n_w, n_c)
f = Flatten()
f.init((n_h, n_w, n_c))
... | 30.285714 | 92 | 0.641509 | 109 | 636 | 3.431193 | 0.412844 | 0.032086 | 0.048128 | 0.064171 | 0.216578 | 0.216578 | 0.200535 | 0.147059 | 0.106952 | 0 | 0 | 0.014433 | 0.237421 | 636 | 20 | 93 | 31.8 | 0.756701 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.066667 | false | 0 | 0.2 | 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 |
af6febf89f847660f4b9e84d576a390734dbb67d | 2,214 | py | Python | input_fn/input_fn_2d/data_gen_2dt/data_anaylzer.py | JochenZoellner/tf_neiss-1 | c91019e5bce6d3c7512237eec5ea997fd95304ac | [
"Apache-2.0"
] | null | null | null | input_fn/input_fn_2d/data_gen_2dt/data_anaylzer.py | JochenZoellner/tf_neiss-1 | c91019e5bce6d3c7512237eec5ea997fd95304ac | [
"Apache-2.0"
] | 1 | 2020-08-07T13:04:43.000Z | 2020-08-10T12:32:46.000Z | input_fn/input_fn_2d/data_gen_2dt/data_anaylzer.py | JochenZoellner/tf_neiss-1 | c91019e5bce6d3c7512237eec5ea997fd95304ac | [
"Apache-2.0"
] | 1 | 2019-12-16T15:46:45.000Z | 2019-12-16T15:46:45.000Z | import os
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
import input_fn.input_fn_2d.data_gen_2dt.data_gen_t2d_util.tfr_helper as tfr_helper
os.environ["CUDA_VISIBLE_DEVICES"] = ""
tf.enable_eager_execution()
if __name__ == "__main__":
print("run IS2d_triangle")
# prefix = "val"
... | 31.183099 | 91 | 0.617435 | 337 | 2,214 | 3.738872 | 0.332344 | 0.072222 | 0.063492 | 0.04127 | 0.060317 | 0 | 0 | 0 | 0 | 0 | 0 | 0.030686 | 0.249322 | 2,214 | 70 | 92 | 31.628571 | 0.727437 | 0.058717 | 0 | 0 | 0 | 0 | 0.09139 | 0.023569 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.096154 | 0 | 0.096154 | 0.230769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af71f9e9ddb2979aa18dd52c6ff6dae1a9583788 | 4,090 | py | Python | Three-Column-Sortable-TableView.py | humberry/ui-tutorial | 90ba337f64c429b234a6d035df8d096fb3248fc2 | [
"MIT"
] | 115 | 2015-03-01T20:22:19.000Z | 2022-01-23T16:16:48.000Z | Three-Column-Sortable-TableView.py | clarityD/ui-tutorial | 90ba337f64c429b234a6d035df8d096fb3248fc2 | [
"MIT"
] | 8 | 2015-01-05T10:12:24.000Z | 2020-08-02T07:43:10.000Z | Three-Column-Sortable-TableView.py | clarityD/ui-tutorial | 90ba337f64c429b234a6d035df8d096fb3248fc2 | [
"MIT"
] | 37 | 2015-05-10T03:24:33.000Z | 2022-03-11T04:06:47.000Z | # coding: utf-8
import ui, os, datetime
from operator import itemgetter
class MyTableViewDataSource(object):
def __init__(self, row_height):
self.row_height = row_height
self.width = None
def tableview_number_of_rows(self, tableview, section):
return len(tableview.data_source.items)
... | 31.953125 | 103 | 0.55868 | 494 | 4,090 | 4.461538 | 0.232794 | 0.049002 | 0.036298 | 0.024955 | 0.211434 | 0.194192 | 0.194192 | 0.194192 | 0.182849 | 0.107532 | 0 | 0.012686 | 0.325428 | 4,090 | 127 | 104 | 32.204724 | 0.786154 | 0.010269 | 0 | 0.238938 | 0 | 0 | 0.018793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.079646 | false | 0 | 0.017699 | 0.00885 | 0.141593 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af7371f20bd26e4f799d725d92aa211ad0557f49 | 668 | py | Python | binning/pozo_5m_binning.py | UP-RS-ESP/GEW-DAP04-WS201819 | 18341620d9168e1eec476af1d8f568cf0017bf56 | [
"MIT"
] | 2 | 2020-10-12T11:33:00.000Z | 2021-12-20T06:33:54.000Z | binning/pozo_5m_binning.py | UP-RS-ESP/GEW-DAP04-WS201819 | 18341620d9168e1eec476af1d8f568cf0017bf56 | [
"MIT"
] | null | null | null | binning/pozo_5m_binning.py | UP-RS-ESP/GEW-DAP04-WS201819 | 18341620d9168e1eec476af1d8f568cf0017bf56 | [
"MIT"
] | null | null | null | import numpy as np
from matplotlib import pyplot as pl
from matplotlib.colors import LogNorm
fn = '../pozo-steep-vegetated-pcl.npy'
pts = np.load(fn)
x, y = pts[:, 0], pts[:, 1]
ix = (0.2 * (x - x.min())).astype('int')
iy = (0.2 * (y - y.min())).astype('int')
shape = (100, 100)
#xb = np.arange(shape[1]+1)
#yb = np.ar... | 22.266667 | 40 | 0.586826 | 121 | 668 | 3.223141 | 0.446281 | 0.082051 | 0.061538 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045872 | 0.184132 | 668 | 29 | 41 | 23.034483 | 0.669725 | 0.095808 | 0 | 0 | 0 | 0 | 0.069884 | 0.051581 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.136364 | 0 | 0.136364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af74d606a269a83e28010d18de482c23c6ab0542 | 5,600 | py | Python | datary/operations/remove.py | Datary/python-sdk | 2790a50e1ad262cbe3210665dc34f497625e923d | [
"MIT"
] | null | null | null | datary/operations/remove.py | Datary/python-sdk | 2790a50e1ad262cbe3210665dc34f497625e923d | [
"MIT"
] | null | null | null | datary/operations/remove.py | Datary/python-sdk | 2790a50e1ad262cbe3210665dc34f497625e923d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Datary sdk Remove Operations File
"""
import os
from urllib.parse import urljoin
from datary.auth import DataryAuth
from datary.operations.limits import DataryOperationLimits
import structlog
logger = structlog.getLogger(__name__)
class DataryRemoveOperation(DataryAuth, DataryOperationL... | 32.55814 | 78 | 0.411786 | 426 | 5,600 | 5.323944 | 0.201878 | 0.091711 | 0.046296 | 0.035273 | 0.564815 | 0.527778 | 0.518519 | 0.439594 | 0.415344 | 0.298501 | 0 | 0.003408 | 0.37125 | 5,600 | 171 | 79 | 32.748538 | 0.640727 | 0.299107 | 0 | 0.553191 | 0 | 0 | 0.161863 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.053191 | 0 | 0.12766 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af76cb63ff7f339b7e7e1d830fd28ab78f3db4d3 | 9,199 | py | Python | parse_conceptual.py | HalimSD/A-eye | 502dcdf47d54d93e8745be7c49897064550db8c7 | [
"MIT"
] | null | null | null | parse_conceptual.py | HalimSD/A-eye | 502dcdf47d54d93e8745be7c49897064550db8c7 | [
"MIT"
] | null | null | null | parse_conceptual.py | HalimSD/A-eye | 502dcdf47d54d93e8745be7c49897064550db8c7 | [
"MIT"
] | null | null | null | import torch
import clip
from torch.utils.data import DataLoader, Dataset
from PIL import Image
import pickle
from tqdm import tqdm
import os
import csv
import threading
import requests
import shutil
import PIL
from typing import List, Tuple, Optional
import argparse
from pathlib import Path
device = torch.device("cu... | 37.70082 | 137 | 0.589521 | 1,174 | 9,199 | 4.400341 | 0.181431 | 0.03523 | 0.023422 | 0.012776 | 0.252226 | 0.21506 | 0.192412 | 0.15331 | 0.130081 | 0.130081 | 0 | 0.011553 | 0.294271 | 9,199 | 243 | 138 | 37.855967 | 0.784196 | 0.014567 | 0 | 0.254717 | 0 | 0 | 0.084115 | 0.053207 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056604 | false | 0 | 0.070755 | 0.004717 | 0.183962 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af78d3f22f044a728a9a4c210c9bf8cdba9f1cf9 | 7,170 | py | Python | TextSummarizer.py | venkattrj/Refresh | 563c901cc0a8d90f5d716a2661302ff8858f7334 | [
"BSD-3-Clause"
] | null | null | null | TextSummarizer.py | venkattrj/Refresh | 563c901cc0a8d90f5d716a2661302ff8858f7334 | [
"BSD-3-Clause"
] | null | null | null | TextSummarizer.py | venkattrj/Refresh | 563c901cc0a8d90f5d716a2661302ff8858f7334 | [
"BSD-3-Clause"
] | null | null | null |
# Global objects
import datetime
import hashlib
import subprocess
import time
import nltk
from Prediction import Summarizer
from data_utils import DataProcessor
PAD_ID = 0
UNK_ID = 1
vocab_dict, word_embedding_array = DataProcessor().prepare_vocab_embeddingdict()
# # print (len(vocab_embed_object.vocab_dict)-2)
model... | 40.055866 | 138 | 0.58159 | 751 | 7,170 | 5.336884 | 0.225033 | 0.045409 | 0.047904 | 0.031188 | 0.317615 | 0.217565 | 0.143962 | 0.114022 | 0.092565 | 0.036926 | 0 | 0.002287 | 0.329149 | 7,170 | 178 | 139 | 40.280899 | 0.830977 | 0.235704 | 0 | 0.144444 | 0 | 0.011111 | 0.112618 | 0.018026 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077778 | false | 0 | 0.077778 | 0.011111 | 0.255556 | 0.044444 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af7b2d5d99f6baeaacbb0d347417a474259a0efd | 447 | py | Python | setup.py | rahulpshah/nbexamples | b14421ef9a88828b5a0e76d376043ee0f13f9da8 | [
"BSD-3-Clause"
] | 62 | 2015-11-19T18:28:56.000Z | 2021-12-27T02:50:30.000Z | setup.py | rahulpshah/nbexamples | b14421ef9a88828b5a0e76d376043ee0f13f9da8 | [
"BSD-3-Clause"
] | 33 | 2015-11-23T01:11:33.000Z | 2021-04-15T04:23:15.000Z | setup.py | rahulpshah/nbexamples | b14421ef9a88828b5a0e76d376043ee0f13f9da8 | [
"BSD-3-Clause"
] | 28 | 2015-11-24T18:49:33.000Z | 2021-12-28T16:48:55.000Z | import versioneer
from setuptools import setup
setup_args = dict(
name='nbexamples',
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
license='BSD',
platforms=['Jupyter Notebook'],
packages=[
'nbexamples'
],
include_package_data=True,
install_requires=[
... | 19.434783 | 39 | 0.626398 | 44 | 447 | 6.022727 | 0.704545 | 0.075472 | 0.10566 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00885 | 0.241611 | 447 | 22 | 40 | 20.318182 | 0.772861 | 0 | 0 | 0 | 0 | 0 | 0.176734 | 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 |
af7e5e86d0f60de6b492ec7b6eafdc2ebea4c16a | 6,336 | py | Python | project-management-api/app/routers/msprojects.py | paolo-demagistris-polito/pm-lab-polito-EnvForDigitalProjectDelivery | 07e121a6613398bf3a8fbb9ec6831720bfcf2c33 | [
"MIT"
] | 1 | 2022-03-03T14:22:47.000Z | 2022-03-03T14:22:47.000Z | project-management-api/app/routers/msprojects.py | paolo-demagistris-polito/pm-lab-polito-EnvForDigitalProjectDelivery | 07e121a6613398bf3a8fbb9ec6831720bfcf2c33 | [
"MIT"
] | 3 | 2022-01-20T05:22:52.000Z | 2022-01-28T09:34:19.000Z | project-management-api/app/routers/msprojects.py | pm-lab-polito/EnvForDigitalProjectDelivery | 0bda402f70160eccb8959ffac3d9baeccce60781 | [
"MIT"
] | null | null | null | """
Module for the methods regarding ms projects
"""
import jpype
import jsonpath_ng.ext
import mpxj
from fastapi import APIRouter, File, UploadFile
from datatypes.models import *
from dependencies import *
router = APIRouter(
prefix="/msprojects",
tags=["msprojects"],
dependencies=[]
)
@router.post("/... | 37.94012 | 114 | 0.665404 | 755 | 6,336 | 5.365563 | 0.22649 | 0.037768 | 0.034559 | 0.022464 | 0.254505 | 0.250309 | 0.197729 | 0.182918 | 0.182918 | 0.130585 | 0 | 0.003228 | 0.217645 | 6,336 | 166 | 115 | 38.168675 | 0.814 | 0.006944 | 0 | 0.1 | 0 | 0 | 0.05149 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.063636 | 0 | 0.081818 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af808a47b333d62757233f327d638f9ef66a62b6 | 563 | py | Python | Leetcode/1000-2000/1103. Distribute Candies to People/1103.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/1000-2000/1103. Distribute Candies to People/1103.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | Leetcode/1000-2000/1103. Distribute Candies to People/1103.py | Next-Gen-UI/Code-Dynamics | a9b9d5e3f27e870b3e030c75a1060d88292de01c | [
"MIT"
] | null | null | null | class Solution:
def distributeCandies(self, candies: int, n: int) -> List[int]:
ans = [0] * n
rows = int((-n + (n**2 + 8 * n**2 * candies)**0.5) / (2 * n**2))
accumN = rows * (rows - 1) * n // 2
for i in range(n):
ans[i] = accumN + rows * (i + 1)
givenCandies = (n**2 * rows**2 + n * rows) ... | 24.478261 | 68 | 0.515098 | 78 | 563 | 3.717949 | 0.346154 | 0.034483 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046997 | 0.319716 | 563 | 22 | 69 | 25.590909 | 0.710183 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af815fbf98829714e6eda7b837a98b8d597117ab | 38,711 | py | Python | bionic/persistence.py | baxen/bionic | f722a72e9571b81f537ed51fcf15bc964a928024 | [
"Apache-2.0"
] | null | null | null | bionic/persistence.py | baxen/bionic | f722a72e9571b81f537ed51fcf15bc964a928024 | [
"Apache-2.0"
] | null | null | null | bionic/persistence.py | baxen/bionic | f722a72e9571b81f537ed51fcf15bc964a928024 | [
"Apache-2.0"
] | null | null | null | """
This module provides local and cloud storage of computed values. The main
point of entry is the PersistentCache, which encapsulates this functionality.
"""
import attr
import os
import shutil
import tempfile
import yaml
import warnings
from uuid import uuid4
from pathlib import Path
from bionic.exception import ... | 34.656222 | 88 | 0.623415 | 4,657 | 38,711 | 4.927636 | 0.133562 | 0.020132 | 0.005229 | 0.007844 | 0.323296 | 0.264075 | 0.227079 | 0.19396 | 0.150558 | 0.126634 | 0 | 0.002351 | 0.307742 | 38,711 | 1,116 | 89 | 34.687276 | 0.853982 | 0.205213 | 0 | 0.283934 | 0 | 0 | 0.077908 | 0.008346 | 0 | 0 | 0 | 0.003584 | 0.012465 | 1 | 0.092798 | false | 0.001385 | 0.022161 | 0.024931 | 0.239612 | 0.006925 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af84d23224addc1fdc1ef092243757bb1b97c61d | 925 | py | Python | faq/lambda_function.py | david-fisher/320-S20-Track2 | 4bdda4701dac75dafaa09fa68a8502d7c5279502 | [
"BSD-3-Clause"
] | 8 | 2019-12-30T16:37:53.000Z | 2020-04-09T17:18:14.000Z | faq/lambda_function.py | david-fisher/320-S20-Track2 | 4bdda4701dac75dafaa09fa68a8502d7c5279502 | [
"BSD-3-Clause"
] | 95 | 2020-02-03T15:13:19.000Z | 2020-05-05T01:00:16.000Z | faq/lambda_function.py | david-fisher/320-S20-Track2 | 4bdda4701dac75dafaa09fa68a8502d7c5279502 | [
"BSD-3-Clause"
] | null | null | null | import json
import boto3
#Last Updated
#5/3/2020
s3 = boto3.client('s3') #S3 object
def lambda_handler(event, context):
#Initializing the variables
bucket = 't2-bucket-storage'
key = 'FAQ.txt'
#CORS headers
response_headers = {}
response_headers["X-Requested-With"] = "*"
response_heade... | 30.833333 | 122 | 0.665946 | 116 | 925 | 5.241379 | 0.568966 | 0.148026 | 0.108553 | 0.138158 | 0.208882 | 0.154605 | 0.154605 | 0.154605 | 0 | 0 | 0 | 0.024423 | 0.203243 | 925 | 29 | 123 | 31.896552 | 0.800543 | 0.187027 | 0 | 0 | 0 | 0.052632 | 0.348118 | 0.235215 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.105263 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af85b8246d06deab8fbd40d2dd688d0cf7df337f | 1,582 | py | Python | easy_rl/utils/learning_rate_utils.py | simonoso/EasyRL | 3d8eb2bf138dd2a0b95f8b3743d15f34cfff0740 | [
"Apache-2.0"
] | 125 | 2019-12-05T02:50:56.000Z | 2022-02-22T08:03:24.000Z | easy_rl/utils/learning_rate_utils.py | simonoso/EasyRL | 3d8eb2bf138dd2a0b95f8b3743d15f34cfff0740 | [
"Apache-2.0"
] | 4 | 2020-03-18T05:56:22.000Z | 2020-07-11T11:10:17.000Z | easy_rl/utils/learning_rate_utils.py | simonoso/EasyRL | 3d8eb2bf138dd2a0b95f8b3743d15f34cfff0740 | [
"Apache-2.0"
] | 26 | 2019-12-12T06:25:47.000Z | 2022-01-19T22:19:41.000Z | import tensorflow as tf
class LearningRateStrategy(object):
def __init__(self, init_lr, strategy_spec):
self._type = strategy_spec.pop('type', 'exponential_decay')
self._decay_steps = strategy_spec.pop('decay_steps', 1000)
self._decay_rate = strategy_spec.pop('decay_rate', 0.9)
sel... | 38.585366 | 67 | 0.591656 | 180 | 1,582 | 4.711111 | 0.2 | 0.117925 | 0.070755 | 0.066038 | 0.502358 | 0.476415 | 0.476415 | 0.476415 | 0.476415 | 0.476415 | 0 | 0.005581 | 0.32048 | 1,582 | 40 | 68 | 39.55 | 0.783256 | 0 | 0 | 0.472222 | 0 | 0 | 0.069532 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.027778 | 0 | 0.138889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af8721001b7e64b7b7d1b084ad899f44e8598884 | 2,841 | py | Python | plenum/test/node_request/test_split_non_3pc_messages_on_batches.py | ArtObr/indy-plenum | c568eefb0042b3ec3aec84e9241cb1b5df419365 | [
"Apache-2.0"
] | null | null | null | plenum/test/node_request/test_split_non_3pc_messages_on_batches.py | ArtObr/indy-plenum | c568eefb0042b3ec3aec84e9241cb1b5df419365 | [
"Apache-2.0"
] | null | null | null | plenum/test/node_request/test_split_non_3pc_messages_on_batches.py | ArtObr/indy-plenum | c568eefb0042b3ec3aec84e9241cb1b5df419365 | [
"Apache-2.0"
] | null | null | null | from functools import partial
import pytest
from plenum.test import waits
from plenum.test.helper import sendRandomRequests, waitForSufficientRepliesForRequests, checkReqAck
from plenum.test.pool_transactions.helper import buildPoolClientAndWallet
from stp_core.loop.eventually import eventuallyAll
from stp_core.vali... | 38.917808 | 99 | 0.697994 | 297 | 2,841 | 6.52862 | 0.37037 | 0.028881 | 0.036101 | 0.027849 | 0.130995 | 0.092831 | 0.092831 | 0.047447 | 0 | 0 | 0 | 0.015726 | 0.239 | 2,841 | 72 | 100 | 39.458333 | 0.881129 | 0.114044 | 0 | 0 | 0 | 0 | 0.010459 | 0 | 0 | 0 | 0 | 0 | 0.043478 | 1 | 0.086957 | false | 0 | 0.195652 | 0 | 0.282609 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af8a181071e7abdcc867b84eb6bf5ea64085f25a | 717 | py | Python | churnalyze/py/churn_stats.py | Rdeandres/fight-churn | 88fbff9b00f5ec4a9622073db15ab8809dfb21b3 | [
"MIT"
] | null | null | null | churnalyze/py/churn_stats.py | Rdeandres/fight-churn | 88fbff9b00f5ec4a9622073db15ab8809dfb21b3 | [
"MIT"
] | null | null | null | churnalyze/py/churn_stats.py | Rdeandres/fight-churn | 88fbff9b00f5ec4a9622073db15ab8809dfb21b3 | [
"MIT"
] | null | null | null | import sys
from churn_calc import ChurnCalculator
def main():
'''
Creates churn calculator and runs the statistics and correlation functions.
The schema name is taken from the first command line argument.
The dataset and all other parameters are then taken from the schema configuration.
:return: ... | 23.9 | 86 | 0.687587 | 97 | 717 | 4.907216 | 0.484536 | 0.094538 | 0.10084 | 0.05042 | 0.134454 | 0.134454 | 0.134454 | 0.134454 | 0 | 0 | 0 | 0.008993 | 0.224547 | 717 | 29 | 87 | 24.724138 | 0.847122 | 0.327755 | 0 | 0 | 0 | 0 | 0.037445 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.066667 | false | 0 | 0.133333 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af8b4f7cdd96f1e05ccc0b6456d5fe449a767019 | 2,888 | py | Python | python/contrib/head_pose_picture/src/yolov3/yolov3.py | coldenheart/123 | 798768bba7dfaef051a46d8e1df48bc671de5213 | [
"Apache-2.0"
] | 25 | 2020-11-20T09:01:35.000Z | 2022-03-29T10:35:38.000Z | python/contrib/head_pose_picture/src/yolov3/yolov3.py | coldenheart/123 | 798768bba7dfaef051a46d8e1df48bc671de5213 | [
"Apache-2.0"
] | 5 | 2021-02-28T20:49:37.000Z | 2022-03-04T21:50:27.000Z | python/contrib/head_pose_picture/src/yolov3/yolov3.py | coldenheart/123 | 798768bba7dfaef051a46d8e1df48bc671de5213 | [
"Apache-2.0"
] | 16 | 2020-12-06T07:26:13.000Z | 2022-03-01T07:51:55.000Z | """Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License i... | 39.027027 | 100 | 0.630194 | 398 | 2,888 | 4.454774 | 0.379397 | 0.033841 | 0.025381 | 0.038917 | 0.062042 | 0.031585 | 0 | 0 | 0 | 0 | 0 | 0.028972 | 0.259003 | 2,888 | 73 | 101 | 39.561644 | 0.799533 | 0.322715 | 0 | 0 | 0 | 0 | 0.014369 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081081 | false | 0 | 0.108108 | 0 | 0.27027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af8d86b547c3138c87e5922ed826526a715c832e | 3,466 | py | Python | rstbx/simulation/sim_pdf.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 155 | 2016-11-23T12:52:16.000Z | 2022-03-31T15:35:44.000Z | rstbx/simulation/sim_pdf.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 590 | 2016-12-10T11:31:18.000Z | 2022-03-30T23:10:09.000Z | rstbx/simulation/sim_pdf.py | dperl-sol/cctbx_project | b9e390221a2bc4fd00b9122e97c3b79c632c6664 | [
"BSD-3-Clause-LBNL"
] | 115 | 2016-11-15T08:17:28.000Z | 2022-02-09T15:30:14.000Z | from __future__ import absolute_import, division, print_function
from six.moves import range
from scitbx.array_family import flex
page_origin = (20.,220.)
boxedge = 500.
class PointTransform:
'''provide the necessary transformation to go from image pixel coordinates
to coordinates on the printed page of the .pd... | 31.798165 | 89 | 0.671091 | 490 | 3,466 | 4.542857 | 0.322449 | 0.040431 | 0.044924 | 0.028302 | 0.196766 | 0.151842 | 0.127583 | 0.127583 | 0.127583 | 0.127583 | 0 | 0.036863 | 0.201673 | 3,466 | 108 | 90 | 32.092593 | 0.767618 | 0.055395 | 0 | 0.137931 | 0 | 0.011494 | 0.060374 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.091954 | false | 0.022989 | 0.16092 | 0 | 0.321839 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af950ed2adf47bfd5bbac8fc2d72461c9405f310 | 1,809 | py | Python | lemonspotter/samplers/declare.py | martinruefenacht/lemonspotter | 4e24759aded6536bbb3cdcc311e5eaf72d52c4e3 | [
"MIT"
] | null | null | null | lemonspotter/samplers/declare.py | martinruefenacht/lemonspotter | 4e24759aded6536bbb3cdcc311e5eaf72d52c4e3 | [
"MIT"
] | 20 | 2019-11-14T16:35:42.000Z | 2021-05-17T14:55:44.000Z | lemonspotter/samplers/declare.py | martinruefenacht/lemonspotter | 4e24759aded6536bbb3cdcc311e5eaf72d52c4e3 | [
"MIT"
] | null | null | null | """
This module contains the definition of the DefaultSampler.
"""
import logging
from typing import Iterable
from lemonspotter.core.parameter import Direction
from lemonspotter.core.sampler import Sampler
from lemonspotter.core.variable import Variable
from lemonspotter.core.function import Function
from lemonspotte... | 33.5 | 91 | 0.66335 | 183 | 1,809 | 6.480874 | 0.459016 | 0.067454 | 0.084317 | 0.048904 | 0.077572 | 0.077572 | 0.077572 | 0.077572 | 0 | 0 | 0 | 0 | 0.250415 | 1,809 | 53 | 92 | 34.132075 | 0.874631 | 0.139856 | 0 | 0.068966 | 0 | 0 | 0.147832 | 0.039422 | 0 | 0 | 0 | 0 | 0 | 1 | 0.103448 | false | 0 | 0.241379 | 0.034483 | 0.448276 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af9558754aad314aeb8db737a2091bb0a63f662a | 480 | py | Python | source/python/LSWRC.py | JoHyukJun/algorithm-analysis | 3eda22ce0eeb52490702206d73c04cff1eb3e72d | [
"Apache-2.0"
] | null | null | null | source/python/LSWRC.py | JoHyukJun/algorithm-analysis | 3eda22ce0eeb52490702206d73c04cff1eb3e72d | [
"Apache-2.0"
] | null | null | null | source/python/LSWRC.py | JoHyukJun/algorithm-analysis | 3eda22ce0eeb52490702206d73c04cff1eb3e72d | [
"Apache-2.0"
] | null | null | null | '''
main.py
Created by JO HYUK JUN on 2021
Copyright © 2021 JO HYUK JUN. All rights reserved.
'''
class Solution:
def lengthOfLongestSubstring(self, s: str) -> int:
output = 0
str_set = []
for idx, val in enumerate(s):
if val in str_set:
s... | 21.818182 | 58 | 0.525 | 62 | 480 | 3.967742 | 0.596774 | 0.170732 | 0.109756 | 0.146341 | 0.097561 | 0.097561 | 0 | 0 | 0 | 0 | 0 | 0.033784 | 0.383333 | 480 | 22 | 59 | 21.818182 | 0.793919 | 0.1875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 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 |
af95fa980c5195e3c75aff212645fcf4a36ea392 | 2,532 | py | Python | tyranokiller.py | satoki/tyranokiller | 9a4d707ca9f0d2469e9cbd0b57f474b2c96c2d9d | [
"MIT"
] | 5 | 2021-12-23T11:23:40.000Z | 2022-01-01T22:48:18.000Z | tyranokiller.py | satoki/tyranoscript_vulnerability | 9a4d707ca9f0d2469e9cbd0b57f474b2c96c2d9d | [
"MIT"
] | null | null | null | tyranokiller.py | satoki/tyranoscript_vulnerability | 9a4d707ca9f0d2469e9cbd0b57f474b2c96c2d9d | [
"MIT"
] | null | null | null | # Exploit Title: TyranoScript 5.13b - Arbitrary Code Execution
# Date: 27/03/2022
# Exploit Author: Satoki
# Vendor Homepage: https://tyrano.jp/
# Software Link: https://github.com/ShikemokuMK/tyranoscript
#
# Version (Save Data ACE):
# TyranoScriptV5 <= 5.04b
# TyranoScript <= 4.83
#
# Version (Development Data ... | 30.506024 | 110 | 0.527646 | 265 | 2,532 | 4.754717 | 0.490566 | 0.011111 | 0.011905 | 0.012698 | 0.005556 | 0.005556 | 0 | 0 | 0 | 0 | 0 | 0.035608 | 0.201422 | 2,532 | 82 | 111 | 30.878049 | 0.587537 | 0.236967 | 0 | 0.170213 | 0 | 0.085106 | 0.167715 | 0.036688 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.085106 | 0 | 0.085106 | 0.106383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af9c8aaccf0095264c9bcfb36a5958fdb4382d26 | 1,322 | py | Python | core/loader.py | 1x-eng/ext-a-cy | d6efbabca89243c9c41ce4c130e9f963b2b42229 | [
"MIT"
] | null | null | null | core/loader.py | 1x-eng/ext-a-cy | d6efbabca89243c9c41ce4c130e9f963b2b42229 | [
"MIT"
] | null | null | null | core/loader.py | 1x-eng/ext-a-cy | d6efbabca89243c9c41ce4c130e9f963b2b42229 | [
"MIT"
] | null | null | null | from selenium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.keys import Keys
from selenium.webdriver.common.by import By
__author__='Pruthvi Kumar'
# 30 June 2019.
# pruthvikumar.123@gmail.com
# L... | 33.897436 | 114 | 0.67171 | 178 | 1,322 | 4.842697 | 0.5 | 0.069606 | 0.097448 | 0.064965 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011044 | 0.246596 | 1,322 | 38 | 115 | 34.789474 | 0.854418 | 0.229955 | 0 | 0 | 0 | 0 | 0.082097 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.217391 | 0 | 0.391304 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af9cf05604e40321edbad3928cd57491f9b1fcff | 1,598 | py | Python | Classicist Express/api/urls.py | RisalatShahriar/ccNews | d7b73bff86ac938d47be4f97d04a81af9ed00faf | [
"Apache-2.0"
] | null | null | null | Classicist Express/api/urls.py | RisalatShahriar/ccNews | d7b73bff86ac938d47be4f97d04a81af9ed00faf | [
"Apache-2.0"
] | null | null | null | Classicist Express/api/urls.py | RisalatShahriar/ccNews | d7b73bff86ac938d47be4f97d04a81af9ed00faf | [
"Apache-2.0"
] | null | null | null | from django.urls import path
from . import views
urlpatterns = [
path('bd', views.bdaffair, name="bd_api"),
path('home', views.home_data, name='home_api'),
path('cultural', views.cultural_insights, name='cultural_api'),
path('sports', views.sports_insights, name='sports_api'),
path('international',... | 55.103448 | 83 | 0.71214 | 221 | 1,598 | 4.895928 | 0.126697 | 0.148799 | 0.110906 | 0.049908 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112641 | 1,598 | 29 | 84 | 55.103448 | 0.763047 | 0 | 0 | 0 | 0 | 0 | 0.316448 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
af9ec8c3e054bbb041579522842ad9b2da17d23a | 11,544 | py | Python | farmer/ncc/metrics/segmentation_metrics.py | aiorhiroki/farmer.tf2 | 5d78f4b47b753ab2d595829c17fef7c6061235b5 | [
"Apache-2.0"
] | null | null | null | farmer/ncc/metrics/segmentation_metrics.py | aiorhiroki/farmer.tf2 | 5d78f4b47b753ab2d595829c17fef7c6061235b5 | [
"Apache-2.0"
] | 7 | 2021-11-12T05:58:48.000Z | 2022-02-25T07:05:26.000Z | farmer/ncc/metrics/segmentation_metrics.py | aiorhiroki/farmer.tf2 | 5d78f4b47b753ab2d595829c17fef7c6061235b5 | [
"Apache-2.0"
] | null | null | null | import numpy as np
from pathlib import Path
import itertools
from tqdm import tqdm
from ..utils import get_imageset
import matplotlib.pyplot as plt
import cv2
import json
from ..metrics.surface_dice import metrics as surface_distance
from ..metrics.functional import calc_isolated_fp
def calc_segmentation_metrics(confu... | 34.981818 | 116 | 0.628638 | 1,540 | 11,544 | 4.485065 | 0.166883 | 0.037788 | 0.034458 | 0.014768 | 0.357029 | 0.306645 | 0.241639 | 0.22137 | 0.185609 | 0.164181 | 0 | 0.011258 | 0.261348 | 11,544 | 329 | 117 | 35.088146 | 0.798757 | 0.109061 | 0 | 0.237668 | 0 | 0 | 0.049478 | 0.010743 | 0 | 0 | 0 | 0 | 0.008969 | 1 | 0.058296 | false | 0 | 0.044843 | 0 | 0.156951 | 0.022422 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afa04ed205e39049b31fa8fd4108f5232fadca75 | 1,774 | py | Python | mrbaviirc/template/actions/action_var.py | brianvanderburg2/python-mrbaviirc-template | 6da213b30580d66fe7231c40bb7bbebb026a0789 | [
"Apache-2.0"
] | null | null | null | mrbaviirc/template/actions/action_var.py | brianvanderburg2/python-mrbaviirc-template | 6da213b30580d66fe7231c40bb7bbebb026a0789 | [
"Apache-2.0"
] | null | null | null | mrbaviirc/template/actions/action_var.py | brianvanderburg2/python-mrbaviirc-template | 6da213b30580d66fe7231c40bb7bbebb026a0789 | [
"Apache-2.0"
] | null | null | null | """ Handler for the var action tag. """
# pylint: disable=too-few-public-methods,too-many-arguments,protected-access,unused-argument
__author__ = "Brian Allen Vanderburg II"
__copyright__ = "Copyright 2016-2019"
__license__ = "Apache License 2.0"
from . import ActionHandler, DefaultActionHandler
from ..nodes import ... | 28.612903 | 92 | 0.653326 | 210 | 1,774 | 5.309524 | 0.404762 | 0.080717 | 0.043049 | 0.035874 | 0.059193 | 0.059193 | 0.059193 | 0.059193 | 0 | 0 | 0 | 0.009489 | 0.227734 | 1,774 | 61 | 93 | 29.081967 | 0.80438 | 0.155017 | 0 | 0.058824 | 0 | 0 | 0.044828 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.088235 | 0 | 0.294118 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afa0c7a4dbfb00577736a7f5962a39c917e15a9e | 1,623 | py | Python | tests/test_exp_worker_cred.py | RogerEMO/srd | 40eb8bb02cfd3b1f60ed9eb3e361877fea744cb5 | [
"MIT"
] | 1 | 2021-11-22T18:15:09.000Z | 2021-11-22T18:15:09.000Z | tests/test_exp_worker_cred.py | RogerEMO/srd | 40eb8bb02cfd3b1f60ed9eb3e361877fea744cb5 | [
"MIT"
] | 3 | 2021-05-10T18:46:16.000Z | 2021-06-01T16:51:48.000Z | tests/test_exp_worker_cred.py | RogerEMO/srd | 40eb8bb02cfd3b1f60ed9eb3e361877fea744cb5 | [
"MIT"
] | 1 | 2021-05-05T17:20:06.000Z | 2021-05-05T17:20:06.000Z | import pytest
from math import isclose
import sys
sys.path.append('/Users/pyann/Dropbox (CEDIA)/srd/Model')
import srd
from srd import quebec
# I use https://cffp.recherche.usherbrooke.ca/outils-ressources/guide-mesures-fiscales/credit-impot-prolongation-carriere/
# since they don't seem to adjust for taxabl... | 36.066667 | 123 | 0.637708 | 249 | 1,623 | 4.02008 | 0.413655 | 0.053946 | 0.051948 | 0.047952 | 0.470529 | 0.451548 | 0.451548 | 0.3996 | 0.3996 | 0.3996 | 0 | 0.111373 | 0.214418 | 1,623 | 44 | 124 | 36.886364 | 0.673725 | 0.158349 | 0 | 0.4 | 0 | 0 | 0.066009 | 0 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.1 | false | 0 | 0.166667 | 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 |
afa13b4e4fc345a627c690ebb66190bf2e512666 | 1,382 | py | Python | Prog1.py | tudoriliuta/UR3RL | 9a98d530318f5931ddc195d8ffa7ebc406cd6419 | [
"MIT"
] | 1 | 2019-05-23T14:26:21.000Z | 2019-05-23T14:26:21.000Z | Prog1.py | tudoriliuta/UR3RL | 9a98d530318f5931ddc195d8ffa7ebc406cd6419 | [
"MIT"
] | null | null | null | Prog1.py | tudoriliuta/UR3RL | 9a98d530318f5931ddc195d8ffa7ebc406cd6419 | [
"MIT"
] | null | null | null | # Type help("robolink") or help("robodk") for more information
# Press F5 to run the script
# Documentation: https://robodk.com/doc/en/RoboDK-API.html
# Reference: https://robodk.com/doc/en/PythonAPI/index.html
# Note: It is not required to keep a copy of this file, your python script is saved with the station
from... | 32.139535 | 100 | 0.644718 | 218 | 1,382 | 4.036697 | 0.458716 | 0.068182 | 0.061364 | 0.038636 | 0.043182 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021174 | 0.248191 | 1,382 | 42 | 101 | 32.904762 | 0.825794 | 0.560781 | 0 | 0 | 0 | 0 | 0.020513 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.111111 | 0 | 0.111111 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afa4b7d2595f4e0c541626173ba9e42640a0a707 | 6,471 | py | Python | ekmap_core/qgslabel_parser/label_parser.py | eKMap/ekmap-publisher-for-qgis | cb9dac6c29be3617c2155c1e38d9d1dffbdbad96 | [
"MIT"
] | 4 | 2020-11-11T07:07:55.000Z | 2022-02-22T02:39:01.000Z | ekmap_core/qgslabel_parser/label_parser.py | eKMap/ekmap-publisher-for-qgis | cb9dac6c29be3617c2155c1e38d9d1dffbdbad96 | [
"MIT"
] | 2 | 2021-03-17T17:46:56.000Z | 2021-03-18T08:19:04.000Z | ekmap_core/qgslabel_parser/label_parser.py | eKMap/ekmap-publisher-for-qgis | cb9dac6c29be3617c2155c1e38d9d1dffbdbad96 | [
"MIT"
] | 1 | 2021-10-31T21:00:55.000Z | 2021-10-31T21:00:55.000Z | from PyQt5.QtWidgets import QMainWindow
from ..ekmap_converter import eKConverter
import re
from qgis.core import QgsMessageLog
class LabelParser:
def __init__(self, labeling):
self.labeling = labeling
def _readTextStyle(self, settings):
labelFormat = settings.format()
field = settin... | 36.767045 | 111 | 0.591871 | 567 | 6,471 | 6.726631 | 0.326279 | 0.053225 | 0.062402 | 0.022286 | 0.125852 | 0.104352 | 0.104352 | 0.076036 | 0.050865 | 0.050865 | 0 | 0.021808 | 0.319734 | 6,471 | 176 | 112 | 36.767045 | 0.844616 | 0.245403 | 0 | 0.115385 | 0 | 0 | 0.03765 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067308 | false | 0 | 0.038462 | 0 | 0.182692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afa690096a6121167933e215558dabc81606d2f3 | 8,069 | py | Python | main.py | lyffly/CameraCalibration | aacdcc9ea711154060f078f0564f8143077cac88 | [
"BSD-3-Clause"
] | null | null | null | main.py | lyffly/CameraCalibration | aacdcc9ea711154060f078f0564f8143077cac88 | [
"BSD-3-Clause"
] | null | null | null | main.py | lyffly/CameraCalibration | aacdcc9ea711154060f078f0564f8143077cac88 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
# coding by liuyunfei
# 2020-4-12
import sys
from PyQt5.QtWidgets import QApplication, QMainWindow, QMessageBox
from PyQt5.QtCore import QThread, pyqtSignal, QDateTime, QObject, QMutexLocker, QMutex, QTimer
from PyQt5.QtGui import QPixmap
from PyQt5 import Qt, QtCore
from PyQt5.QtCo... | 34.33617 | 137 | 0.587433 | 919 | 8,069 | 5.002176 | 0.249184 | 0.028279 | 0.021753 | 0.026104 | 0.224712 | 0.159452 | 0.114422 | 0.075266 | 0.054818 | 0.03437 | 0 | 0.027903 | 0.311563 | 8,069 | 234 | 138 | 34.482906 | 0.79964 | 0.01735 | 0 | 0.17801 | 0 | 0.005236 | 0.023292 | 0.003643 | 0 | 0 | 0 | 0 | 0 | 1 | 0.073298 | false | 0.005236 | 0.073298 | 0 | 0.17801 | 0.015707 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afaaa12bee233defec8a78a507b98355a9769f87 | 11,423 | py | Python | actorcritic/envs/atari/model.py | jrobine/actor-critic | 2f72d296c0b550982b0400b6afb7a7a0dfe3f144 | [
"MIT"
] | 10 | 2018-07-31T21:04:02.000Z | 2022-02-03T18:58:45.000Z | actorcritic/envs/atari/model.py | jrobine/actor-critic | 2f72d296c0b550982b0400b6afb7a7a0dfe3f144 | [
"MIT"
] | null | null | null | actorcritic/envs/atari/model.py | jrobine/actor-critic | 2f72d296c0b550982b0400b6afb7a7a0dfe3f144 | [
"MIT"
] | 1 | 2018-08-01T18:09:35.000Z | 2018-08-01T18:09:35.000Z | """An implementation of an actor-critic model that is aimed at Atari games."""
import gym
import numpy as np
import tensorflow as tf
import actorcritic.nn as nn
from actorcritic.baselines import StateValueFunction
from actorcritic.model import ActorCriticModel
from actorcritic.policies import SoftmaxPolicy
class A... | 46.246964 | 119 | 0.660597 | 1,344 | 11,423 | 5.37872 | 0.186756 | 0.02075 | 0.025176 | 0.034168 | 0.27611 | 0.181353 | 0.135565 | 0.087011 | 0.052704 | 0.044958 | 0 | 0.025163 | 0.248534 | 11,423 | 246 | 120 | 46.434959 | 0.816985 | 0.269281 | 0 | 0.068702 | 0 | 0 | 0.064225 | 0.005445 | 0 | 0 | 0 | 0.004065 | 0.015267 | 1 | 0.030534 | false | 0 | 0.053435 | 0 | 0.099237 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afb151ddaf6fe45b7776879d93b6a4036ec2ff77 | 2,863 | py | Python | flow54/fuel_injector.py | corygoates/Flow54 | d24fe113afb932df6a910b560c6d491693b87592 | [
"MIT"
] | null | null | null | flow54/fuel_injector.py | corygoates/Flow54 | d24fe113afb932df6a910b560c6d491693b87592 | [
"MIT"
] | null | null | null | flow54/fuel_injector.py | corygoates/Flow54 | d24fe113afb932df6a910b560c6d491693b87592 | [
"MIT"
] | null | null | null | import copy
import numpy as np
from compressible_tools import *
class FuelInjector:
"""A fuel injector.
Parameters
----------
fuel : Species
The fluid being fed through the injector.
T : float
Inlet temperature of injector.
A : float
Cross-sectional area.
"""
... | 24.895652 | 176 | 0.550472 | 373 | 2,863 | 4.096515 | 0.294906 | 0.062827 | 0.068063 | 0.020942 | 0.311518 | 0.301047 | 0.281414 | 0.21466 | 0.187173 | 0.149215 | 0 | 0.026036 | 0.342648 | 2,863 | 115 | 177 | 24.895652 | 0.785866 | 0.389801 | 0 | 0.058824 | 0 | 0 | 0.051389 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.088235 | 0.029412 | 0.382353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afb26810722dea2343152102b81238f0ece5d0c5 | 1,976 | py | Python | owoencode.py | glitchfur/owoencoder | ed81a03ba4bd504ca2de4da80fa618b12363b9db | [
"MIT"
] | 4 | 2020-08-10T06:01:35.000Z | 2021-08-30T02:26:29.000Z | owoencode.py | glitchfur/owoencoder | ed81a03ba4bd504ca2de4da80fa618b12363b9db | [
"MIT"
] | null | null | null | owoencode.py | glitchfur/owoencoder | ed81a03ba4bd504ca2de4da80fa618b12363b9db | [
"MIT"
] | 1 | 2021-06-02T09:16:43.000Z | 2021-06-02T09:16:43.000Z | #!/usr/bin/env python3
# owoencode.py, a part of owoencoder
# Made by Glitch, 2020
# https://www.glitchfur.net
from sys import argv, stdout, stderr
from os.path import exists, split
from os import remove
KEEP_ORIG = False
STDOUT_FLAG = False
def main():
if len(argv) < 2:
print("The syntax for running th... | 30.875 | 77 | 0.577935 | 292 | 1,976 | 3.753425 | 0.434932 | 0.036496 | 0.041058 | 0.016423 | 0.062044 | 0.040146 | 0 | 0 | 0 | 0 | 0 | 0.015373 | 0.308704 | 1,976 | 63 | 78 | 31.365079 | 0.786969 | 0.148785 | 0 | 0.078431 | 0 | 0 | 0.140382 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039216 | false | 0 | 0.058824 | 0 | 0.098039 | 0.078431 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afb31209b87b0007cddea5b09c524bff1b45d36d | 2,589 | py | Python | generators/query_gen.py | Abhipanda4/RQs_in_Regex_Graphs | 80b86b5b3f92ef28102ac0f5049bb495b5cc07f9 | [
"Apache-2.0"
] | 2 | 2018-10-09T09:59:45.000Z | 2021-11-21T17:01:47.000Z | generators/query_gen.py | Abhipanda4/RQs_in_Regex_Graphs | 80b86b5b3f92ef28102ac0f5049bb495b5cc07f9 | [
"Apache-2.0"
] | null | null | null | generators/query_gen.py | Abhipanda4/RQs_in_Regex_Graphs | 80b86b5b3f92ef28102ac0f5049bb495b5cc07f9 | [
"Apache-2.0"
] | null | null | null | # Fix number of node predicates at 1 out of 6
# this ensures queries with larger space of possible nodes
# The number of colors in a query is varied from 1 to 5
import argparse
import numpy as np
from graph_gen import birth_years, genders, num_posts, num_friends
possibilities = [1, 3, 4, 5]
# do not consider equaliy ... | 27.83871 | 83 | 0.565469 | 332 | 2,589 | 4.259036 | 0.358434 | 0.079208 | 0.108911 | 0.056577 | 0.202263 | 0.17256 | 0.138614 | 0.138614 | 0.138614 | 0.11174 | 0 | 0.022384 | 0.309772 | 2,589 | 92 | 84 | 28.141304 | 0.768886 | 0.164156 | 0 | 0.2 | 0 | 0 | 0.016279 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.061538 | false | 0 | 0.046154 | 0 | 0.153846 | 0.030769 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afb5ce60435e8b3c83936754903becf1fcb4fbdf | 1,292 | py | Python | communication/templatetags/discussion.py | stewardshiptools/stewardshiptools | ee5d27e7b0d5d4947f34ad02bdf63a06ad0a5c3e | [
"MIT"
] | null | null | null | communication/templatetags/discussion.py | stewardshiptools/stewardshiptools | ee5d27e7b0d5d4947f34ad02bdf63a06ad0a5c3e | [
"MIT"
] | 11 | 2020-03-24T15:29:46.000Z | 2022-03-11T23:14:48.000Z | communication/templatetags/discussion.py | stewardshiptools/stewardshiptools | ee5d27e7b0d5d4947f34ad02bdf63a06ad0a5c3e | [
"MIT"
] | null | null | null | import string
from django.template import Context
from django.template.loader import get_template
from django import template
register = template.Library()
import crm
@register.inclusion_tag('comments/form.html')
def render_cedar_comment_form(**kwargs):
object = kwargs.pop('object', None)
parent_id = kwargs... | 28.711111 | 81 | 0.670279 | 147 | 1,292 | 5.70068 | 0.408163 | 0.077566 | 0.042959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.220588 | 1,292 | 44 | 82 | 29.363636 | 0.832175 | 0.517802 | 0 | 0 | 0 | 0 | 0.124585 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 1 | 0.055556 | false | 0 | 0.277778 | 0 | 0.444444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afb6bce0846f3ad5fdbe2619d6c7b2dd5348269a | 3,504 | py | Python | fairseq/criterions/cross_entropy.py | emailandxu/KUST-Fairseq-ST | 95316cebc99d963c4aa671914ce219c5692f5fd6 | [
"BSD-3-Clause"
] | null | null | null | fairseq/criterions/cross_entropy.py | emailandxu/KUST-Fairseq-ST | 95316cebc99d963c4aa671914ce219c5692f5fd6 | [
"BSD-3-Clause"
] | null | null | null | fairseq/criterions/cross_entropy.py | emailandxu/KUST-Fairseq-ST | 95316cebc99d963c4aa671914ce219c5692f5fd6 | [
"BSD-3-Clause"
] | null | null | null | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import math
import torch
import to... | 37.276596 | 111 | 0.623002 | 447 | 3,504 | 4.720358 | 0.342282 | 0.052133 | 0.017062 | 0.017062 | 0.096682 | 0.077725 | 0 | 0 | 0 | 0 | 0 | 0.010413 | 0.259989 | 3,504 | 93 | 112 | 37.677419 | 0.803317 | 0.384703 | 0 | 0.05 | 0 | 0 | 0.073147 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.075 | false | 0 | 0.125 | 0 | 0.275 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afbb87c6ab776c79d599ae4c17e47909e935b3eb | 3,845 | py | Python | Year-2/Computational-math/src/labs/lab_2/methods.py | zubrailx/University-ITMO | 9c746ab6cfa95ecd6ff02eb23e1f49c93337ec61 | [
"MIT"
] | 3 | 2021-10-13T05:01:37.000Z | 2022-01-21T15:25:47.000Z | Year-2/Computational-math/src/labs/lab_2/methods.py | zubrailx/university | 9c746ab6cfa95ecd6ff02eb23e1f49c93337ec61 | [
"MIT"
] | null | null | null | Year-2/Computational-math/src/labs/lab_2/methods.py | zubrailx/university | 9c746ab6cfa95ecd6ff02eb23e1f49c93337ec61 | [
"MIT"
] | null | null | null | from copy import copy
from modules.parse import parse
from modules.equation import grad, node_flatten
from modules.matrix import Matrix
from modules.util import ProjectException
from modules.util import Color, color_string
def split_half(data: dict) -> dict:
node_root = data["equation"][0]
var_list = data["v... | 40.904255 | 115 | 0.640312 | 564 | 3,845 | 4.117021 | 0.177305 | 0.046512 | 0.034453 | 0.068906 | 0.422481 | 0.408269 | 0.319552 | 0.236865 | 0.236865 | 0.236865 | 0 | 0.016399 | 0.222887 | 3,845 | 93 | 116 | 41.344086 | 0.76071 | 0.004421 | 0 | 0.275 | 0 | 0 | 0.161265 | 0 | 0 | 0 | 0 | 0 | 0.0125 | 1 | 0.0375 | false | 0 | 0.075 | 0 | 0.1875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afbc104c7579cd278f56fcd197e11d8c1c44ade6 | 1,807 | py | Python | TerraformToAnsibleInventory/args.py | mrlesmithjr/python-terraform-to-ansible-inventory | 0ceb251c8fbdcf23d186f1a1d66684af1b28c86c | [
"MIT"
] | 5 | 2018-07-17T15:46:57.000Z | 2020-01-18T23:54:23.000Z | TerraformToAnsibleInventory/args.py | mrlesmithjr/python-terraform-to-ansible-inventory | 0ceb251c8fbdcf23d186f1a1d66684af1b28c86c | [
"MIT"
] | 11 | 2018-07-19T13:04:50.000Z | 2019-10-22T13:38:01.000Z | TerraformToAnsibleInventory/args.py | mrlesmithjr/python-terraform-to-ansible-inventory | 0ceb251c8fbdcf23d186f1a1d66684af1b28c86c | [
"MIT"
] | 4 | 2019-09-27T18:27:17.000Z | 2021-12-22T13:41:03.000Z | import argparse
from _version import __version__
def parse():
"""Parse command line arguments."""
PARSER = argparse.ArgumentParser()
PARSER.add_argument('-b', '--backend',
help='Define which Terraform backend to parse',
choices=['local', 'consul'], default='... | 51.628571 | 81 | 0.58052 | 187 | 1,807 | 5.502674 | 0.406417 | 0.078717 | 0.148688 | 0.06414 | 0.157434 | 0.112731 | 0 | 0 | 0 | 0 | 0 | 0.003063 | 0.277255 | 1,807 | 34 | 82 | 53.147059 | 0.784839 | 0.016049 | 0 | 0 | 0 | 0 | 0.348194 | 0.014108 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.064516 | 0 | 0.129032 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afbcd4f337d7fb85d3b0e527567a1d3d85e5d0ed | 1,928 | py | Python | test.py | raveendezoysa/American-Sign-Language-to-Text-Based-Translator | 0e0d3bea9912c87c51f00728742dc67cd85b7e66 | [
"MIT"
] | null | null | null | test.py | raveendezoysa/American-Sign-Language-to-Text-Based-Translator | 0e0d3bea9912c87c51f00728742dc67cd85b7e66 | [
"MIT"
] | null | null | null | test.py | raveendezoysa/American-Sign-Language-to-Text-Based-Translator | 0e0d3bea9912c87c51f00728742dc67cd85b7e66 | [
"MIT"
] | null | null | null | # importing libraries
from keras.preprocessing.image import ImageDataGenerator
from keras.models import Sequential
from keras.layers import Conv2D, MaxPooling2D
from keras.layers import Activation, Dropout, Flatten, Dense
from keras import backend as K
img_width, img_height = 224, 224
train_data_dir = 'v_data/train'... | 27.542857 | 67 | 0.761411 | 277 | 1,928 | 5.039711 | 0.3213 | 0.08596 | 0.039398 | 0.060888 | 0.323782 | 0.272206 | 0.23639 | 0.23639 | 0.23639 | 0.23639 | 0 | 0.036173 | 0.110996 | 1,928 | 69 | 68 | 27.942029 | 0.778296 | 0.009855 | 0 | 0.207547 | 0 | 0 | 0.062926 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.09434 | 0 | 0.09434 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afbe04768d0e6a472f75c12cbd235fcaf4b5e777 | 2,113 | py | Python | intersimple-expert-rollout-setobs2.py | sisl/InteractionImitation | 9c9ee8f21b53e71bbca86b0b79c6e6d913a20567 | [
"MIT"
] | 2 | 2022-03-13T19:43:08.000Z | 2022-03-14T03:19:33.000Z | intersimple-expert-rollout-setobs2.py | sisl/InteractionImitation | 9c9ee8f21b53e71bbca86b0b79c6e6d913a20567 | [
"MIT"
] | null | null | null | intersimple-expert-rollout-setobs2.py | sisl/InteractionImitation | 9c9ee8f21b53e71bbca86b0b79c6e6d913a20567 | [
"MIT"
] | null | null | null | import torch
import functools
from src.core.sampling import rollout_sb3
from intersim.envs import IntersimpleLidarFlatIncrementingAgent
from intersim.envs.intersimple import speed_reward
from intersim.expert import NormalizedIntersimpleExpert
from src.util.wrappers import CollisionPenaltyWrapper, Setobs
import numpy as... | 32.507692 | 88 | 0.630857 | 311 | 2,113 | 4.196141 | 0.289389 | 0.067433 | 0.055172 | 0.064368 | 0.192337 | 0.186207 | 0.178544 | 0.138697 | 0.138697 | 0.138697 | 0 | 0.077335 | 0.204449 | 2,113 | 65 | 89 | 32.507692 | 0.698989 | 0 | 0 | 0.214286 | 0 | 0 | 0.111637 | 0.036897 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.178571 | 0 | 0.214286 | 0.089286 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afbe9673b618fa0388c83b7abcd87db09f9c7dda | 2,840 | py | Python | FeatureTransformation/UserInputFeatureScalling.py | Himanshu14k/AdultIncomePrediction_Project | 522f170111c5e6e45ef1e26ef21f86f4ea3a8dcc | [
"MIT"
] | 2 | 2021-09-06T08:31:46.000Z | 2021-10-30T12:53:21.000Z | FeatureTransformation/UserInputFeatureScalling.py | Himanshu14k/AdultIncomePrediction_Project | 522f170111c5e6e45ef1e26ef21f86f4ea3a8dcc | [
"MIT"
] | 1 | 2021-09-07T13:53:26.000Z | 2021-09-07T13:53:26.000Z | FeatureTransformation/UserInputFeatureScalling.py | Himanshu14k/AdultIncomePrediction_Project | 522f170111c5e6e45ef1e26ef21f86f4ea3a8dcc | [
"MIT"
] | 2 | 2021-09-13T17:20:56.000Z | 2021-11-21T16:05:16.000Z | from joblib import load
from pandas import DataFrame
import pickle
class FeatureScaling:
def __init__(self, user_input, logger_obj, file_obj):
try:
self.logger_obj = logger_obj
self.file_obj = file_obj
self.logger_obj.log("INFO", 'Different user input value assign proce... | 53.584906 | 171 | 0.633099 | 349 | 2,840 | 5 | 0.280802 | 0.103152 | 0.111748 | 0.082521 | 0.343266 | 0.296275 | 0.270487 | 0.234957 | 0.187966 | 0.187966 | 0 | 0.00096 | 0.266197 | 2,840 | 53 | 172 | 53.584906 | 0.836372 | 0.058803 | 0 | 0.093023 | 0 | 0 | 0.280367 | 0.012987 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046512 | false | 0 | 0.069767 | 0 | 0.162791 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afbeec327d96ab2c12353a666a3a203a3a3bf18e | 4,073 | py | Python | pyShelly/debug.py | rfvermut/pyShelly | c2f27ef14d1eaf94c403858a898a919d0005d639 | [
"MIT"
] | 39 | 2019-03-19T11:09:26.000Z | 2022-03-19T12:44:47.000Z | pyShelly/debug.py | rfvermut/pyShelly | c2f27ef14d1eaf94c403858a898a919d0005d639 | [
"MIT"
] | 34 | 2019-05-21T18:41:18.000Z | 2022-03-27T07:30:49.000Z | pyShelly/debug.py | rfvermut/pyShelly | c2f27ef14d1eaf94c403858a898a919d0005d639 | [
"MIT"
] | 42 | 2019-03-28T15:18:59.000Z | 2021-12-27T19:16:44.000Z | import socket
import threading
import json
import sys
from io import StringIO
from .loop import Loop
from .const import (
LOGGER
)
class Debug_connection(Loop):
def __init__(self, parent, connection, client_address):
super(Debug_connection, self).__init__("Debug connection", parent._root)
sel... | 30.62406 | 94 | 0.499386 | 410 | 4,073 | 4.773171 | 0.282927 | 0.050077 | 0.035258 | 0.01533 | 0.099131 | 0.053143 | 0.053143 | 0.053143 | 0.053143 | 0.053143 | 0 | 0.008554 | 0.39725 | 4,073 | 133 | 95 | 30.62406 | 0.788595 | 0.273508 | 0 | 0.292683 | 0 | 0 | 0.027027 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.097561 | false | 0.036585 | 0.085366 | 0 | 0.219512 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afc0461dd64d75f8650665858aa646a390a84868 | 972 | py | Python | setup.py | AGOberprieler/allcopol | 7fd3d8ad7c9ff8410155691d8a37fdbea7783c81 | [
"MIT"
] | 1 | 2020-10-19T08:22:50.000Z | 2020-10-19T08:22:50.000Z | setup.py | AGOberprieler/allcopol | 7fd3d8ad7c9ff8410155691d8a37fdbea7783c81 | [
"MIT"
] | null | null | null | setup.py | AGOberprieler/allcopol | 7fd3d8ad7c9ff8410155691d8a37fdbea7783c81 | [
"MIT"
] | null | null | null | from setuptools import setup, find_packages
with open("README.md", "r") as f:
long_description = f.read()
setup(name = "allcopol",
version = "0.1.1",
description = "AllCoPol: Inferring allele co-ancestry in polyploids",
long_description = long_description,
long_description_content_type = "text/ma... | 30.375 | 73 | 0.644033 | 102 | 972 | 5.941176 | 0.666667 | 0.09901 | 0.062706 | 0.09901 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006623 | 0.223251 | 972 | 31 | 74 | 31.354839 | 0.796026 | 0 | 0 | 0.074074 | 0 | 0 | 0.410917 | 0.190525 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.037037 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afc04d85e4ad399b752a6a1b506501312782c229 | 2,686 | py | Python | genalg/sample.py | davidkant/thresholds-ga | 78988bb1bfa1c1eb32afc24edf59e5fde2f1c212 | [
"Apache-2.0"
] | null | null | null | genalg/sample.py | davidkant/thresholds-ga | 78988bb1bfa1c1eb32afc24edf59e5fde2f1c212 | [
"Apache-2.0"
] | 9 | 2018-05-06T18:55:29.000Z | 2018-05-06T19:13:33.000Z | genalg/sample.py | davidkant/thresholds-ga | 78988bb1bfa1c1eb32afc24edf59e5fde2f1c212 | [
"Apache-2.0"
] | null | null | null | import spec
import sonicfeatures
import display
import random
import os
class Sample:
"""Keep track of samples and their stuff."""
def __init__(self, genotype, gen=0, index=0, parents=None, fitness_func=None):
self.genotype = genotype
self.phentype = None
self.fitness_func = fitness_f... | 40.089552 | 120 | 0.624348 | 342 | 2,686 | 4.78655 | 0.269006 | 0.047037 | 0.031765 | 0.029322 | 0.221747 | 0.182651 | 0.075748 | 0.075748 | 0.075748 | 0.075748 | 0 | 0.009995 | 0.255026 | 2,686 | 66 | 121 | 40.69697 | 0.808096 | 0.167163 | 0 | 0.088889 | 0 | 0.022222 | 0.080073 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.177778 | false | 0 | 0.111111 | 0.022222 | 0.466667 | 0.022222 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afc24baeb3d33abb5be32b2647fa2afb09362e83 | 1,945 | py | Python | youtube_rss_subscriber/config.py | miquelruiz/youtube-rss-subscriber | 0dbdb011faf910be7dfd4757cd7295b898d4297c | [
"WTFPL"
] | 3 | 2021-03-21T07:43:12.000Z | 2021-07-23T11:07:55.000Z | youtube_rss_subscriber/config.py | miquelruiz/youtube-rss-subscriber | 0dbdb011faf910be7dfd4757cd7295b898d4297c | [
"WTFPL"
] | null | null | null | youtube_rss_subscriber/config.py | miquelruiz/youtube-rss-subscriber | 0dbdb011faf910be7dfd4757cd7295b898d4297c | [
"WTFPL"
] | 2 | 2021-04-11T13:26:29.000Z | 2021-07-25T18:03:34.000Z | from typing import Any, Dict, List, Optional, cast
from pathlib import Path
import yaml
CONFIG_FILE_NAME = "config.yml"
CONFIG_DIRS = (
Path.home() / Path(".yrs"),
Path("/etc/youtube-rss-subscriber"),
)
class Config:
_instance: Optional["Config"] = None
_config: Dict[str, Any]
_required_keys: L... | 28.602941 | 79 | 0.568123 | 240 | 1,945 | 4.316667 | 0.3375 | 0.125483 | 0.121622 | 0.034749 | 0.042471 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000752 | 0.316195 | 1,945 | 67 | 80 | 29.029851 | 0.778195 | 0 | 0 | 0.038462 | 0 | 0 | 0.132648 | 0.041131 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.057692 | 0.038462 | 0.288462 | 0.019231 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afcab14f17dffbf6475626aeb921c67d6e9af7bc | 4,494 | py | Python | Assets/ExpressiveRangeAnalyses/example_generator.py | rafaeldolfe/Mixed-initiative-Tile-based-Designer | 9001f0e1b68ec8c9fa49d876d2cc6ec1426d1d01 | [
"MIT"
] | null | null | null | Assets/ExpressiveRangeAnalyses/example_generator.py | rafaeldolfe/Mixed-initiative-Tile-based-Designer | 9001f0e1b68ec8c9fa49d876d2cc6ec1426d1d01 | [
"MIT"
] | null | null | null | Assets/ExpressiveRangeAnalyses/example_generator.py | rafaeldolfe/Mixed-initiative-Tile-based-Designer | 9001f0e1b68ec8c9fa49d876d2cc6ec1426d1d01 | [
"MIT"
] | null | null | null | import sys
import numpy as np
import math
import matplotlib.pyplot as plt
from numpy.lib.polynomial import poly
import pandas as pd
from matplotlib import cm
import matplotlib.patheffects as path_effects
import random
class Run:
def __init__(self, run_name, linearities, leniencies, ids):
self.run_name = ru... | 36.536585 | 198 | 0.715398 | 593 | 4,494 | 5.175379 | 0.187184 | 0.022809 | 0.030955 | 0.013685 | 0.254154 | 0.206582 | 0.179211 | 0.138156 | 0.138156 | 0.115347 | 0 | 0.005887 | 0.168447 | 4,494 | 122 | 199 | 36.836066 | 0.81536 | 0 | 0 | 0.043478 | 0 | 0.01087 | 0.077694 | 0.019368 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076087 | false | 0 | 0.097826 | 0.032609 | 0.228261 | 0.119565 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afcbed072ad157da39a96ed8b309d2b6f0eb45c5 | 781 | py | Python | tests/test_utils.py | cdyfng/pyetheroll | 84149f328a1dc6db47834d02ade50e21286f3409 | [
"MIT"
] | 1 | 2018-11-01T02:58:35.000Z | 2018-11-01T02:58:35.000Z | tests/test_utils.py | cdyfng/pyetheroll | 84149f328a1dc6db47834d02ade50e21286f3409 | [
"MIT"
] | 13 | 2019-03-13T13:21:42.000Z | 2020-05-27T21:55:40.000Z | tests/test_utils.py | cdyfng/pyetheroll | 84149f328a1dc6db47834d02ade50e21286f3409 | [
"MIT"
] | 2 | 2019-08-01T07:01:31.000Z | 2021-12-20T05:09:02.000Z | from datetime import datetime
from pyetheroll.utils import EtherollUtils, timestamp2datetime
class TestEtherollUtils:
def test_compute_profit(self):
bet_size = 0.10
chances_win = 34
payout = EtherollUtils.compute_profit(bet_size, chances_win)
assert payout == 0.19
bet_size... | 28.925926 | 68 | 0.644046 | 89 | 781 | 5.505618 | 0.47191 | 0.057143 | 0.032653 | 0.040816 | 0.404082 | 0.334694 | 0.334694 | 0.24898 | 0.24898 | 0.24898 | 0 | 0.109929 | 0.277849 | 781 | 26 | 69 | 30.038462 | 0.758865 | 0.052497 | 0 | 0.3 | 0 | 0 | 0.0271 | 0 | 0 | 0 | 0.01355 | 0 | 0.2 | 1 | 0.1 | false | 0 | 0.1 | 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 |
afceefa6ab42fdff336bb5e178d3b569a6751ee3 | 7,156 | py | Python | adventxtend.py | Textovortex/AdventXtend | 0818804daecb570c98b6d7793a99223d2f14665b | [
"MIT"
] | 1 | 2021-04-16T12:04:56.000Z | 2021-04-16T12:04:56.000Z | adventxtend.py | leha-code/adventXtend | 0818804daecb570c98b6d7793a99223d2f14665b | [
"MIT"
] | 2 | 2021-04-16T16:16:47.000Z | 2021-04-18T01:19:06.000Z | adventxtend.py | leha-code/adventXtend | 0818804daecb570c98b6d7793a99223d2f14665b | [
"MIT"
] | null | null | null | '''
________ ________ ___ ___ _______ ________ _________ ___ ___ _________ _______ ________ ________
|\ __ \|\ ___ \|\ \ / /|\ ___ \ |\ ___ \|\___ ___\|\ \ / /|\___ ___\\ ___ \ |\ ___ \|\ ___ \
\ \ \|\ \ \ \_|\ \ \ \ / / | \ __/|\ \ \\ \ \|___ \ \_|\ ... | 50.394366 | 237 | 0.396311 | 560 | 7,156 | 4.242857 | 0.228571 | 0.114899 | 0.044192 | 0.042088 | 0.208333 | 0.196549 | 0.127104 | 0.046296 | 0.046296 | 0.046296 | 0 | 0.007242 | 0.479039 | 7,156 | 141 | 238 | 50.751773 | 0.630097 | 0.546115 | 0 | 0.27027 | 0 | 0 | 0.070381 | 0.013685 | 0 | 0 | 0 | 0 | 0 | 1 | 0.054054 | false | 0 | 0.054054 | 0 | 0.148649 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afcf06799a4c681aefacbbab3bd0c395c6f657a8 | 700 | py | Python | led_panel_client/cli/commands.py | Glutexo/ledpanel-client | c23b5913f4a7727f0a878a4240187fb8c16be034 | [
"MIT"
] | 1 | 2019-01-26T14:53:36.000Z | 2019-01-26T14:53:36.000Z | led_panel_client/cli/commands.py | Glutexo/ledpanel-client | c23b5913f4a7727f0a878a4240187fb8c16be034 | [
"MIT"
] | 3 | 2018-08-05T14:53:55.000Z | 2019-01-27T11:15:45.000Z | led_panel_client/cli/commands.py | Glutexo/ledpanel-client | c23b5913f4a7727f0a878a4240187fb8c16be034 | [
"MIT"
] | null | null | null | from ampy.pyboard import Pyboard
from ampy.files import Files
from .files import led_panel_client, max7219
from os.path import basename
from sys import argv
def put():
"""
Uploads all necessary files to the pyboard.
"""
if len(argv) < 2:
print("Pyboard COM port not specified. Usage: led_panel_... | 28 | 102 | 0.687143 | 99 | 700 | 4.656566 | 0.454545 | 0.052061 | 0.091106 | 0.091106 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.027778 | 0.228571 | 700 | 24 | 103 | 29.166667 | 0.825926 | 0.061429 | 0 | 0 | 0 | 0 | 0.132605 | 0.039002 | 0 | 0 | 0 | 0 | 0 | 1 | 0.058824 | false | 0 | 0.294118 | 0 | 0.352941 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afcfa558f77ea2152e94c0d489367f3ae1bc234b | 3,241 | py | Python | koopman-intro/args.py | AbsoluteStratos/blog-code | 3a8e308d55931b053b8a47268c52d62e0fa16bd8 | [
"MIT"
] | 2 | 2021-07-30T10:04:18.000Z | 2022-01-30T18:29:30.000Z | koopman-intro/args.py | AbsoluteStratos/blog-code | 3a8e308d55931b053b8a47268c52d62e0fa16bd8 | [
"MIT"
] | 1 | 2021-10-17T20:08:41.000Z | 2021-10-17T20:08:41.000Z | koopman-intro/args.py | AbsoluteStratos/blog-code | 3a8e308d55931b053b8a47268c52d62e0fa16bd8 | [
"MIT"
] | 2 | 2021-07-30T10:04:20.000Z | 2021-09-01T00:07:14.000Z | '''
Into to deep learning Koopman operators
===
Author: Nicholas Geneva (MIT Liscense)
url: https://nicholasgeneva.com/blog/
github: https://github.com/NickGeneva/blog-code
===
'''
import numpy as np
import random
import argparse
import os, errno, copy, json
import torch
class Parser(argparse.ArgumentParser):
def... | 41.551282 | 122 | 0.624499 | 428 | 3,241 | 4.630841 | 0.373832 | 0.052977 | 0.113522 | 0.028759 | 0.104945 | 0.097376 | 0.097376 | 0.077699 | 0.038345 | 0.038345 | 0 | 0.012929 | 0.236347 | 3,241 | 78 | 123 | 41.551282 | 0.787879 | 0.11046 | 0 | 0 | 0 | 0 | 0.228033 | 0.008182 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06383 | false | 0 | 0.106383 | 0 | 0.212766 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afd07ae84271209f560ab1e8af1cb6cd4f30c6a7 | 336 | py | Python | server/object_detection/Constants.py | KimSangYeon-DGU/Fire_Alarm_CCTV | a5dd6c145c898e85bf0c42c03f12cb0415330d74 | [
"Apache-2.0"
] | 10 | 2018-09-05T15:20:05.000Z | 2020-06-01T03:57:08.000Z | server/object_detection/Constants.py | KimSangYeon-DGU/Fire_Alarm_CCTV | a5dd6c145c898e85bf0c42c03f12cb0415330d74 | [
"Apache-2.0"
] | null | null | null | server/object_detection/Constants.py | KimSangYeon-DGU/Fire_Alarm_CCTV | a5dd6c145c898e85bf0c42c03f12cb0415330d74 | [
"Apache-2.0"
] | 7 | 2019-06-19T05:44:23.000Z | 2020-08-30T07:26:13.000Z | import socket as sock
import os
IP = sock.gethostname()
CCTV_PORT = 9000
ANDR_PORT = 8000
CUR_DIR = os.getcwd()
REC_DIR = os.path.join(CUR_DIR, "record")
DB_ADDR = "Database server address"
PUSH_ADDR = "Push notification server address"
REG_ID = "Registration ID"
NOTIF_COUNT = 4
QUEUE_SIZE = 30
REC_FILE_NUM = 60
NO... | 18.666667 | 46 | 0.752976 | 55 | 336 | 4.363636 | 0.727273 | 0.05 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052817 | 0.154762 | 336 | 18 | 47 | 18.666667 | 0.792254 | 0 | 0 | 0 | 0 | 0 | 0.225519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 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 |
afd20fab82d3922fc99876b2d016b1c0bd247c6a | 7,878 | py | Python | sanstitre1.py | mrrobotsca/NLP-AI2020 | ff9c39f3a1d1dd2fbc57d596edf01d0e035d5b59 | [
"Apache-2.0"
] | null | null | null | sanstitre1.py | mrrobotsca/NLP-AI2020 | ff9c39f3a1d1dd2fbc57d596edf01d0e035d5b59 | [
"Apache-2.0"
] | 2 | 2021-06-08T21:48:56.000Z | 2021-09-08T02:11:07.000Z | sanstitre1.py | mrrobotsca/NLP-AI2020 | ff9c39f3a1d1dd2fbc57d596edf01d0e035d5b59 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Wed Feb 27 14:14:47 2019
@author: DK0086
"""
import odema as od
import numpy as np
from datetime import datetime
import pandas as pd
import geopy.distance
import math
import os
import time
import sys
from geopy.geocoders import Nominatim
geolocator = Nominatim(u... | 37.514286 | 180 | 0.621351 | 1,058 | 7,878 | 4.405482 | 0.190926 | 0.040764 | 0.030895 | 0.029178 | 0.398198 | 0.304012 | 0.250161 | 0.222055 | 0.214117 | 0.150611 | 0 | 0.039988 | 0.184184 | 7,878 | 209 | 181 | 37.69378 | 0.685234 | 0.046839 | 0 | 0.248366 | 0 | 0.006536 | 0.201092 | 0.030668 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.065359 | 0 | 0.065359 | 0.013072 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afd2843c7e52da7b669cdb447daf485dad48b407 | 4,398 | py | Python | GlassdoorScrape/GlassdoorScrape/GlassdoorScrapeCore/GlassdoorScrapeInterviews.py | tlarsen7572/AlteryxTools | 4bfaefbf59f7206215f42a6ca5b364f71c35fa1f | [
"BSD-2-Clause"
] | 9 | 2019-05-29T12:53:03.000Z | 2020-07-01T13:26:12.000Z | GlassdoorScrape/GlassdoorScrape/GlassdoorScrapeCore/GlassdoorScrapeInterviews.py | tlarsen7572/AlteryxTools | 4bfaefbf59f7206215f42a6ca5b364f71c35fa1f | [
"BSD-2-Clause"
] | 2 | 2018-07-20T00:23:46.000Z | 2018-10-16T20:37:34.000Z | GlassdoorScrape/GlassdoorScrape/GlassdoorScrapeCore/GlassdoorScrapeInterviews.py | tlarsen7572/AlteryxTools | 4bfaefbf59f7206215f42a6ca5b364f71c35fa1f | [
"BSD-2-Clause"
] | 2 | 2019-03-15T13:43:36.000Z | 2020-04-27T00:15:53.000Z | import GlassdoorScrapeCore.GlassdoorScrapeUtilities as Ut
def decode_experience(html_string):
if html_string.find("Positive", 0) != -1:
return "Positive Experience"
elif html_string.find("Neutral", 0) != -1:
return "Neutral Experience"
elif html_string.find("Negative", 0) != -1:
re... | 35.467742 | 135 | 0.571851 | 460 | 4,398 | 5.234783 | 0.226087 | 0.099668 | 0.081395 | 0.074751 | 0.339286 | 0.19892 | 0.155316 | 0.13289 | 0.105482 | 0.105482 | 0 | 0.01083 | 0.307185 | 4,398 | 123 | 136 | 35.756098 | 0.779455 | 0.054116 | 0 | 0.232558 | 0 | 0 | 0.202846 | 0.023396 | 0 | 0 | 0 | 0 | 0 | 1 | 0.05814 | false | 0 | 0.011628 | 0 | 0.290698 | 0.023256 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
afd5a7231c757b5d59c10582041a64bcee61c37a | 4,155 | py | Python | 30-Days-of-Python/Day_12.py | davidusken/Python | 56d2103d6be1e7be850ba87a1ba1e113333ddf13 | [
"MIT"
] | null | null | null | 30-Days-of-Python/Day_12.py | davidusken/Python | 56d2103d6be1e7be850ba87a1ba1e113333ddf13 | [
"MIT"
] | null | null | null | 30-Days-of-Python/Day_12.py | davidusken/Python | 56d2103d6be1e7be850ba87a1ba1e113333ddf13 | [
"MIT"
] | 1 | 2021-02-28T12:52:55.000Z | 2021-02-28T12:52:55.000Z | # Day 12: Functions
# Exercises
# Define four functions: add, subtract, divide, and multiply. Each function should take two arguments, and they should print the result of the arithmetic operation indicated by the function name.
# When orders matters for an operation, the first argument should be treated as the left o... | 43.736842 | 210 | 0.726113 | 618 | 4,155 | 4.843042 | 0.368932 | 0.084196 | 0.026061 | 0.036084 | 0.107918 | 0.080187 | 0.028065 | 0.028065 | 0 | 0 | 0 | 0.017317 | 0.180024 | 4,155 | 95 | 211 | 43.736842 | 0.861168 | 0.505415 | 0 | 0.037037 | 0 | 0.018519 | 0.324006 | 0.013255 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.111111 | 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 |
bb5dfba5c5533938d6a17b1b05c8c187bd4dad1b | 3,450 | py | Python | models/combiner/combiner_network.py | tunasoup/multimodal-scene-classification | 85f72da3f6ab947fff0929a6ff0e4a8d1fd34377 | [
"MIT"
] | null | null | null | models/combiner/combiner_network.py | tunasoup/multimodal-scene-classification | 85f72da3f6ab947fff0929a6ff0e4a8d1fd34377 | [
"MIT"
] | null | null | null | models/combiner/combiner_network.py | tunasoup/multimodal-scene-classification | 85f72da3f6ab947fff0929a6ff0e4a8d1fd34377 | [
"MIT"
] | null | null | null | """
Contains the trainable sub-network of an ensemble classifier.
Handles calling the training and evaluation.
"""
import torch
import torch.nn as nn
import torch.optim as optim
from matplotlib.pyplot import show
from utility.fusion_functions import (train_nn_combiner_model,
test_... | 35.9375 | 102 | 0.595072 | 416 | 3,450 | 4.6875 | 0.307692 | 0.046667 | 0.01641 | 0.038462 | 0.238462 | 0.201538 | 0.201538 | 0.163077 | 0.117949 | 0.117949 | 0 | 0.058502 | 0.311304 | 3,450 | 95 | 103 | 36.315789 | 0.762205 | 0.04 | 0 | 0.084746 | 0 | 0 | 0.009023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033898 | false | 0 | 0.118644 | 0 | 0.186441 | 0.016949 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb63df222835f6eb78ba3c732e704619ca12b613 | 899 | py | Python | data/transcoder_evaluation_gfg/python/CHECK_STRING_FOLLOWS_ANBN_PATTERN_NOT.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 241 | 2021-07-20T08:35:20.000Z | 2022-03-31T02:39:08.000Z | data/transcoder_evaluation_gfg/python/CHECK_STRING_FOLLOWS_ANBN_PATTERN_NOT.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 49 | 2021-07-22T23:18:42.000Z | 2022-03-24T09:15:26.000Z | data/transcoder_evaluation_gfg/python/CHECK_STRING_FOLLOWS_ANBN_PATTERN_NOT.py | mxl1n/CodeGen | e5101dd5c5e9c3720c70c80f78b18f13e118335a | [
"MIT"
] | 71 | 2021-07-21T05:17:52.000Z | 2022-03-29T23:49:28.000Z | # Copyright (c) 2019-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the
# LICENSE file in the root directory of this source tree.
#
def f_gold ( str ) :
n = len ( str )
for i in range ( n ) :
if ( str [ i ] != 'a' ) :
break
if (... | 23.051282 | 64 | 0.506118 | 113 | 899 | 3.876106 | 0.584071 | 0.054795 | 0.027397 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.024793 | 0.32703 | 899 | 39 | 65 | 23.051282 | 0.699174 | 0.205784 | 0 | 0.068966 | 0 | 0 | 0.114569 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.034483 | false | 0 | 0 | 0 | 0.137931 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb66ace576783c81b7f71f58e215ed9554b532e3 | 1,249 | py | Python | iipython/embeds.py | plasma-chat/plugins | 58dc5e6520e62fb473eb4fda4292b9adb424b75d | [
"MIT"
] | null | null | null | iipython/embeds.py | plasma-chat/plugins | 58dc5e6520e62fb473eb4fda4292b9adb424b75d | [
"MIT"
] | null | null | null | iipython/embeds.py | plasma-chat/plugins | 58dc5e6520e62fb473eb4fda4292b9adb424b75d | [
"MIT"
] | null | null | null | # Copyright 2022 iiPython
# Modules
import time
# Initialization
embed_size = 45
# Plugin class
class EmbedPlugins(object):
def __init__(self, eventmgr) -> None:
self.meta = {
"name": "Embeds",
"author": "iiPython",
"id": "embeds"
}
self.eventmgr = even... | 29.046512 | 156 | 0.542834 | 153 | 1,249 | 4.366013 | 0.470588 | 0.053892 | 0.026946 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018307 | 0.30024 | 1,249 | 42 | 157 | 29.738095 | 0.744851 | 0.069656 | 0 | 0 | 0 | 0 | 0.082251 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.153846 | false | 0 | 0.038462 | 0 | 0.384615 | 0.038462 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb66fc7050d575d46b09f705e4a0c71d8c66cda1 | 11,303 | py | Python | inn.py | NLipatov/INNer | 88816c91bfb85f287b734aff69a5b60ad43f129e | [
"MIT"
] | null | null | null | inn.py | NLipatov/INNer | 88816c91bfb85f287b734aff69a5b60ad43f129e | [
"MIT"
] | null | null | null | inn.py | NLipatov/INNer | 88816c91bfb85f287b734aff69a5b60ad43f129e | [
"MIT"
] | null | null | null | import time, os, xlrd, xlwt, re, webbrowser, time_convert, Process_killer, tkinter as tk
from tkinter import messagebox as mb
from xlwt import easyxf
from threading import Thread
from selenium import webdriver
from selenium.common.exceptions import SessionNotCreatedException
from selenium.webdriver.chrome.options... | 41.862963 | 116 | 0.508891 | 1,116 | 11,303 | 5.061828 | 0.305556 | 0.019472 | 0.033103 | 0.036998 | 0.203222 | 0.137723 | 0.111524 | 0.088865 | 0.052753 | 0.033634 | 0 | 0.016064 | 0.383173 | 11,303 | 269 | 117 | 42.018587 | 0.793316 | 0.009378 | 0 | 0.3125 | 0 | 0 | 0.184839 | 0.022704 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0.033333 | 0.041667 | 0.004167 | 0.079167 | 0.0125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb67eb4b7ecd3f699aaf7a537dafe8901082a0fc | 1,474 | py | Python | pdf_gen.py | MasatoHanayama/pdf_gen | b16491a31cea0d1a4931e979d600870d6be07c3e | [
"MIT"
] | 1 | 2022-03-15T12:57:46.000Z | 2022-03-15T12:57:46.000Z | pdf_gen.py | MasatoHanayama/pdf_gen | b16491a31cea0d1a4931e979d600870d6be07c3e | [
"MIT"
] | null | null | null | pdf_gen.py | MasatoHanayama/pdf_gen | b16491a31cea0d1a4931e979d600870d6be07c3e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import os
import argparse
import img2pdf
import tqdm
from natsort import natsorted
from PIL import Image
def pdf_gen(src, dst):
pages = []
for file in natsorted(os.listdir(src)):
if os.path.splitext(file)[-1] == '.jpg' or os.path.splitext(file)[-1] == '.jpeg' or os.path.splitex... | 28.346154 | 129 | 0.586839 | 220 | 1,474 | 3.854545 | 0.295455 | 0.063679 | 0.082547 | 0.106132 | 0.475236 | 0.415094 | 0.365566 | 0.365566 | 0.308962 | 0.308962 | 0 | 0.010667 | 0.236771 | 1,474 | 51 | 130 | 28.901961 | 0.743111 | 0.154003 | 0 | 0.060606 | 0 | 0 | 0.053355 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.181818 | 0 | 0.30303 | 0.060606 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb67fb540424cdb298487932ac6c8b19b1c4e193 | 1,113 | py | Python | userapiexpiry.py | tjarrettveracode/veracode-python-api_credentials_expiry-example | 3188c53f81c4bf0b5f4d27f4aa1dc3de2f3f5aef | [
"MIT"
] | null | null | null | userapiexpiry.py | tjarrettveracode/veracode-python-api_credentials_expiry-example | 3188c53f81c4bf0b5f4d27f4aa1dc3de2f3f5aef | [
"MIT"
] | null | null | null | userapiexpiry.py | tjarrettveracode/veracode-python-api_credentials_expiry-example | 3188c53f81c4bf0b5f4d27f4aa1dc3de2f3f5aef | [
"MIT"
] | null | null | null | import sys
import requests
import datetime
from dateutil.parser import parse
from veracode_api_py import VeracodeAPI as vapi
def creds_expire_days_warning():
creds = vapi().get_creds()
exp = datetime.datetime.strptime(creds['expiration_ts'], "%Y-%m-%dT%H:%M:%S.%f%z")
delta = exp - datetime.datetime.now().... | 32.735294 | 115 | 0.645103 | 147 | 1,113 | 4.659864 | 0.414966 | 0.10219 | 0.048175 | 0.064234 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004582 | 0.215633 | 1,113 | 34 | 116 | 32.735294 | 0.780069 | 0.060198 | 0 | 0 | 0 | 0 | 0.222967 | 0.021053 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.2 | 0 | 0.28 | 0.12 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb68392d7aa3e6ae41470c5c442a63fe00343194 | 3,258 | py | Python | recipes/tensorflow/samples/pytorch/cifar10/samples/tensorflow/scorer.py | arturrutkiewicz-divae/aep-rfm-score | 705fc54e505fdb8763073401be7b97c81474b0a9 | [
"Apache-2.0"
] | 18 | 2018-12-13T18:53:31.000Z | 2021-09-29T20:14:05.000Z | recipes/tensorflow/samples/pytorch/cifar10/samples/tensorflow/scorer.py | DalavanCloud/experience-platform-dsw-reference | 2e0af85a47ec05b7cda77d61954c1cde0a625f5c | [
"Apache-2.0"
] | 27 | 2019-01-02T22:52:51.000Z | 2021-05-26T15:14:17.000Z | recipes/tensorflow/samples/pytorch/cifar10/samples/tensorflow/scorer.py | DalavanCloud/experience-platform-dsw-reference | 2e0af85a47ec05b7cda77d61954c1cde0a625f5c | [
"Apache-2.0"
] | 18 | 2019-01-09T19:34:57.000Z | 2020-10-19T11:06:50.000Z | #
# Copyright 2017 Adobe.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,... | 34.659574 | 75 | 0.533456 | 380 | 3,258 | 4.523684 | 0.45 | 0.034904 | 0.008726 | 0.011635 | 0.029087 | 0.029087 | 0.029087 | 0.006981 | 0.006981 | 0.006981 | 0 | 0.039942 | 0.369859 | 3,258 | 93 | 76 | 35.032258 | 0.79737 | 0.229589 | 0 | 0 | 0 | 0 | 0.054076 | 0.011471 | 0 | 0 | 0 | 0 | 0 | 1 | 0.053571 | false | 0 | 0.142857 | 0 | 0.25 | 0.071429 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb69a0519f4167f3e5c1740dabcb4206f8eb16f8 | 261 | py | Python | Projects/ESP32Micropython/flash memory/newConnectTest.py | TizioMaurizio/ArduinoWorkshop | d38ede91c6b7a925eafb0272a5fa9f44885ae017 | [
"MIT"
] | null | null | null | Projects/ESP32Micropython/flash memory/newConnectTest.py | TizioMaurizio/ArduinoWorkshop | d38ede91c6b7a925eafb0272a5fa9f44885ae017 | [
"MIT"
] | null | null | null | Projects/ESP32Micropython/flash memory/newConnectTest.py | TizioMaurizio/ArduinoWorkshop | d38ede91c6b7a925eafb0272a5fa9f44885ae017 | [
"MIT"
] | null | null | null | import network
import time
sta_if = network.WLAN(network.STA_IF)
sta_if.active(True)
for _ in range(10):
sta_if.connect('RedmiMau', 'mau12397')
time.sleep(1)
if sta_if.isconnected():
print('Connected.')
break
time.sleep(11)
else:
print('Fail') | 20.076923 | 39 | 0.701149 | 40 | 261 | 4.425 | 0.6 | 0.141243 | 0.079096 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.045045 | 0.149425 | 261 | 13 | 40 | 20.076923 | 0.752252 | 0 | 0 | 0 | 0 | 0 | 0.114504 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0.153846 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb6b66c4796e5839d80de0a9f7880f3c7a632215 | 2,829 | py | Python | cogs/start.py | Yureehh/Perfecto---O---Tron | cfd6f1819a9e4b7a9a406061bb7fadfea4084a86 | [
"MIT"
] | null | null | null | cogs/start.py | Yureehh/Perfecto---O---Tron | cfd6f1819a9e4b7a9a406061bb7fadfea4084a86 | [
"MIT"
] | 1 | 2020-09-16T16:27:52.000Z | 2020-09-16T16:27:52.000Z | cogs/start.py | Yureehh/Perfecto---O---Tron | cfd6f1819a9e4b7a9a406061bb7fadfea4084a86 | [
"MIT"
] | null | null | null | import discord
from discord.ext import commands,tasks
from datetime import datetime
import asyncio
from itertools import cycle
#number of minutes used at timer for loops
MINUTES_TO_WAIT = 30
#in the brackets there's the class you are extending
class Start(commands.Cog):
def __init__(self, bot, messages=0, joined... | 36.269231 | 183 | 0.625309 | 374 | 2,829 | 4.649733 | 0.395722 | 0.028177 | 0.054629 | 0.069005 | 0.222542 | 0.222542 | 0.154687 | 0.057504 | 0.057504 | 0.057504 | 0 | 0.006715 | 0.26299 | 2,829 | 78 | 184 | 36.269231 | 0.827338 | 0.082715 | 0 | 0.157895 | 0 | 0.017544 | 0.170205 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035088 | false | 0 | 0.087719 | 0 | 0.140351 | 0.035088 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb6cc5ff9b1a00d13872972359a28898848fa4c7 | 14,716 | py | Python | tests/test_parser.py | RathmoreChaos/intficpy | a5076bba93208dc18dcbf2e4ad720af9e2127eda | [
"MIT"
] | 25 | 2019-04-30T23:51:44.000Z | 2022-03-23T02:02:54.000Z | tests/test_parser.py | RathmoreChaos/intficpy | a5076bba93208dc18dcbf2e4ad720af9e2127eda | [
"MIT"
] | 4 | 2019-07-09T03:43:35.000Z | 2022-01-10T23:41:46.000Z | tests/test_parser.py | RathmoreChaos/intficpy | a5076bba93208dc18dcbf2e4ad720af9e2127eda | [
"MIT"
] | 5 | 2021-04-24T03:54:39.000Z | 2022-01-06T20:59:03.000Z | from .helpers import IFPTestCase
from intficpy.ifp_game import IFPGame
from intficpy.thing_base import Thing
from intficpy.things import Surface, UnderSpace
from intficpy.actor import Actor, SpecialTopic
from intficpy.verb import (
IndirectObjectVerb,
GetVerb,
LookVerb,
SetOnVerb,
LeadDirVerb,
... | 32.414097 | 89 | 0.647323 | 1,733 | 14,716 | 5.345066 | 0.151183 | 0.08982 | 0.055921 | 0.083882 | 0.608118 | 0.576055 | 0.5346 | 0.488934 | 0.403865 | 0.370614 | 0 | 0.002631 | 0.251019 | 14,716 | 453 | 90 | 32.485651 | 0.837779 | 0 | 0 | 0.354167 | 0 | 0 | 0.189861 | 0.018279 | 0 | 0 | 0 | 0 | 0.14881 | 1 | 0.083333 | false | 0 | 0.020833 | 0.002976 | 0.151786 | 0.035714 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb6e51b991925d3f2d075e10b6faa76829b92e27 | 965 | py | Python | setup.py | KAJdev/pydisfish | aca538cb3e774b4e92469b4f0dd7c8f724088e16 | [
"MIT"
] | 1 | 2021-11-04T18:38:43.000Z | 2021-11-04T18:38:43.000Z | setup.py | KAJdev/pydisfish | aca538cb3e774b4e92469b4f0dd7c8f724088e16 | [
"MIT"
] | null | null | null | setup.py | KAJdev/pydisfish | aca538cb3e774b4e92469b4f0dd7c8f724088e16 | [
"MIT"
] | null | null | null | import setuptools
import re
with open("README.md", "r") as fh:
long_description = fh.read()
version = ''
with open('pydisfish/__init__.py') as f:
version = re.search(r'^__version__\s*=\s*[\'"]([^\'"]*)[\'"]', f.read(), re.MULTILINE).group(1)
if not version:
raise RuntimeError('version is not set')
requi... | 28.382353 | 99 | 0.65285 | 112 | 965 | 5.491071 | 0.625 | 0.097561 | 0.061789 | 0.097561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002564 | 0.19171 | 965 | 33 | 100 | 29.242424 | 0.785897 | 0 | 0 | 0 | 0 | 0 | 0.35544 | 0.043523 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb70059c996805e1f7f560d971daa768591ddbce | 9,173 | py | Python | backup/data_bk.py | ieee820/BraTS2018-tumor-segmentation | 22e1a22909a0c21503b5ef5fc6860a1e1131e851 | [
"MIT"
] | 157 | 2018-09-22T20:45:04.000Z | 2022-01-24T13:08:09.000Z | backup/data_bk.py | bonjoura/BraTS2018-tumor-segmentation | 22e1a22909a0c21503b5ef5fc6860a1e1131e851 | [
"MIT"
] | null | null | null | backup/data_bk.py | bonjoura/BraTS2018-tumor-segmentation | 22e1a22909a0c21503b5ef5fc6860a1e1131e851 | [
"MIT"
] | 53 | 2018-10-09T09:34:15.000Z | 2021-08-14T10:24:43.000Z | import sys
if sys.version_info[0] == 2:
import Queue as queue
else:
import queue
import os
import math
import multiprocessing as mp
import threading
import torch
from torch.utils.data import Dataset
import numpy as np
from data_utils import get_receptive_field, get_sub_patch_shape, \
get_offset, sampl... | 29.782468 | 94 | 0.578764 | 1,245 | 9,173 | 4.105221 | 0.209639 | 0.035218 | 0.024653 | 0.009978 | 0.137351 | 0.121698 | 0.076306 | 0.054392 | 0.043044 | 0.043044 | 0 | 0.038438 | 0.296631 | 9,173 | 307 | 95 | 29.879479 | 0.75372 | 0.066172 | 0 | 0.146119 | 0 | 0 | 0.021946 | 0.005398 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068493 | false | 0 | 0.073059 | 0.022831 | 0.200913 | 0.018265 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
bb715b8832fba253f15741c5824e20ae8941000e | 2,364 | py | Python | backintime/candles_providers/binance_api_candles/binance_api_candles.py | akim-mukhtarov/backtesting | 2d0491b919885eeddd62c4079c9c7292381cb4f9 | [
"MIT"
] | null | null | null | backintime/candles_providers/binance_api_candles/binance_api_candles.py | akim-mukhtarov/backtesting | 2d0491b919885eeddd62c4079c9c7292381cb4f9 | [
"MIT"
] | null | null | null | backintime/candles_providers/binance_api_candles/binance_api_candles.py | akim-mukhtarov/backtesting | 2d0491b919885eeddd62c4079c9c7292381cb4f9 | [
"MIT"
] | null | null | null | from .utils import to_ms, to_candle
from ..api_candles import ApiCandles
from ...timeframes import Timeframes
import datetime, time
import requests as r
class BinanceApiCandles(ApiCandles):
_url = 'https://api.binance.com/api/v3/klines'
# <Timeframes> : <str - binance str repr>
_binance_interv... | 31.945946 | 76 | 0.576565 | 261 | 2,364 | 4.961686 | 0.429119 | 0.021622 | 0.030116 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.021237 | 0.322758 | 2,364 | 73 | 77 | 32.383562 | 0.787633 | 0.047377 | 0 | 0 | 0 | 0 | 0.073103 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.067797 | false | 0.033898 | 0.084746 | 0 | 0.237288 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |