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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
fe224e1ffb01067a1145784abb7281fb2243b190 | 1,788 | py | Python | smartfields/processors/video.py | suhaibroomy/django-smartfields | e9331dc74f72d0254608526f8816aa4bb8f1fca4 | [
"MIT"
] | null | null | null | smartfields/processors/video.py | suhaibroomy/django-smartfields | e9331dc74f72d0254608526f8816aa4bb8f1fca4 | [
"MIT"
] | null | null | null | smartfields/processors/video.py | suhaibroomy/django-smartfields | e9331dc74f72d0254608526f8816aa4bb8f1fca4 | [
"MIT"
] | null | null | null | import re
import six
from smartfields.processors.base import ExternalFileProcessor
from smartfields.utils import ProcessingError
__all__ = [
'FFMPEGProcessor'
]
class FFMPEGProcessor(ExternalFileProcessor):
duration_re = re.compile(r'Duration: (?P<hours>\d+):(?P<minutes>\d+):(?P<seconds>\d+)')
progress_r... | 39.733333 | 91 | 0.599553 | 207 | 1,788 | 5.057971 | 0.415459 | 0.007641 | 0.031519 | 0.034384 | 0.047755 | 0.047755 | 0.047755 | 0.047755 | 0.047755 | 0 | 0 | 0.009302 | 0.278523 | 1,788 | 44 | 92 | 40.636364 | 0.802326 | 0 | 0 | 0 | 0 | 0.076923 | 0.217562 | 0.068792 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.102564 | 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 |
fe22b8aac4f7560fc1450a1ab43865faaf7aecdc | 2,192 | py | Python | tests/test_vmtkScripts/test_vmtksurfaceconnectivity.py | ramtingh/vmtk | 4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3 | [
"Apache-2.0"
] | null | null | null | tests/test_vmtkScripts/test_vmtksurfaceconnectivity.py | ramtingh/vmtk | 4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3 | [
"Apache-2.0"
] | null | null | null | tests/test_vmtkScripts/test_vmtksurfaceconnectivity.py | ramtingh/vmtk | 4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3 | [
"Apache-2.0"
] | 1 | 2019-06-18T23:41:11.000Z | 2019-06-18T23:41:11.000Z | ## Program: VMTK
## Language: Python
## Date: January 12, 2018
## Version: 1.4
## Copyright (c) Richard Izzo, Luca Antiga, All rights reserved.
## See LICENSE file for details.
## This software is distributed WITHOUT ANY WARRANTY; without even
## the implied warranty of MERCHANTABILITY or FITNES... | 35.354839 | 117 | 0.764599 | 253 | 2,192 | 6.339921 | 0.391304 | 0.074813 | 0.074813 | 0.114713 | 0.508105 | 0.479426 | 0.46384 | 0.46384 | 0.431421 | 0.393392 | 0 | 0.008108 | 0.156022 | 2,192 | 61 | 118 | 35.934426 | 0.858919 | 0.218978 | 0 | 0.411765 | 0 | 0 | 0.100771 | 0.084766 | 0 | 0 | 0 | 0 | 0.088235 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.264706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe23546882c9babc55f9bce0abdfba0776ff09c5 | 653 | py | Python | sssoon/forms.py | Kingpin-Apps/django-sssoon | 2a44d0d19e70dcd3127f9425c0ed4ba52355a1d2 | [
"BSD-3-Clause"
] | 2 | 2018-04-20T08:28:10.000Z | 2018-05-04T15:32:30.000Z | sssoon/forms.py | KINGH242/django-sssoon | 2a44d0d19e70dcd3127f9425c0ed4ba52355a1d2 | [
"BSD-3-Clause"
] | 2 | 2018-05-16T13:45:14.000Z | 2020-07-29T22:01:37.000Z | sssoon/forms.py | Kingpin-Apps/django-sssoon | 2a44d0d19e70dcd3127f9425c0ed4ba52355a1d2 | [
"BSD-3-Clause"
] | null | null | null | from django import forms
from nocaptcha_recaptcha.fields import NoReCaptchaField
class NewsletterForm(forms.Form):
email = forms.EmailField(label='Email', required=True,
widget=forms.TextInput(attrs={
'id': 'newsletter-email',
... | 40.8125 | 70 | 0.444104 | 45 | 653 | 6.422222 | 0.711111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.456355 | 653 | 16 | 71 | 40.8125 | 0.814085 | 0 | 0 | 0 | 0 | 0 | 0.169725 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.384615 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe242c827a7e391a419864c9504b7e2daf4968d1 | 1,054 | py | Python | simple_run_menu.py | william01110111/simple_run_menu | 804c6bb8d6c63c3a4d4c6d3377601bd44fb0eeea | [
"MIT"
] | null | null | null | simple_run_menu.py | william01110111/simple_run_menu | 804c6bb8d6c63c3a4d4c6d3377601bd44fb0eeea | [
"MIT"
] | null | null | null | simple_run_menu.py | william01110111/simple_run_menu | 804c6bb8d6c63c3a4d4c6d3377601bd44fb0eeea | [
"MIT"
] | null | null | null | #! /bin/python3
# simple run menu
import os
import stat
def is_file_executable(path):
executable = stat.S_IEXEC | stat.S_IXGRP | stat.S_IXOTH
if not os.path.isfile(path):
return False
st = os.stat(path)
mode = st.st_mode
if not mode & executable:
return False
return True
def get_files_in_dir(directory):
i... | 22.425532 | 83 | 0.685009 | 154 | 1,054 | 4.461039 | 0.383117 | 0.021834 | 0.026201 | 0.037846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006849 | 0.16888 | 1,054 | 46 | 84 | 22.913043 | 0.777397 | 0.028463 | 0 | 0.058824 | 0 | 0 | 0.016634 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0 | 0.058824 | 0 | 0.411765 | 0.029412 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe2476b1a28089e744d395040c690305385ddcb6 | 1,792 | py | Python | mne/io/cnt/tests/test_cnt.py | stevemats/mne-python | 47051833f21bb372d60afc3adbf4305648ac7f69 | [
"BSD-3-Clause"
] | 1,953 | 2015-01-17T20:33:46.000Z | 2022-03-30T04:36:34.000Z | mne/io/cnt/tests/test_cnt.py | LiFeng-SECUC/mne-python | 732bb1f994e64e41a8e95dcc10dc98c22cac95c0 | [
"BSD-3-Clause"
] | 8,490 | 2015-01-01T13:04:18.000Z | 2022-03-31T23:02:08.000Z | mne/io/cnt/tests/test_cnt.py | LiFeng-SECUC/mne-python | 732bb1f994e64e41a8e95dcc10dc98c22cac95c0 | [
"BSD-3-Clause"
] | 1,130 | 2015-01-08T22:39:27.000Z | 2022-03-30T21:44:26.000Z |
# Author: Jaakko Leppakangas <jaeilepp@student.jyu.fi>
# Joan Massich <mailsik@gmail.com>
#
# License: BSD-3-Clause
import os.path as op
import numpy as np
from numpy.testing import assert_array_equal
import pytest
from mne import pick_types
from mne.datasets import testing
from mne.io.tests.test_raw import... | 32 | 74 | 0.65346 | 259 | 1,792 | 4.362934 | 0.474903 | 0.030973 | 0.026549 | 0.046018 | 0.118584 | 0.058407 | 0 | 0 | 0 | 0 | 0 | 0.041817 | 0.226004 | 1,792 | 55 | 75 | 32.581818 | 0.772891 | 0.179688 | 0 | 0.058824 | 0 | 0 | 0.082702 | 0 | 0 | 0 | 0 | 0 | 0.235294 | 1 | 0.058824 | false | 0 | 0.264706 | 0 | 0.323529 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe24a27fb5e1b1af1324c59e811661bad02c4101 | 792 | py | Python | parliament_proposal_fetcher.py | Track-your-parliament/track-your-parliament-data | 1ab9d9fe5cf4921e4cc792d0e3db3263557daafd | [
"MIT"
] | null | null | null | parliament_proposal_fetcher.py | Track-your-parliament/track-your-parliament-data | 1ab9d9fe5cf4921e4cc792d0e3db3263557daafd | [
"MIT"
] | null | null | null | parliament_proposal_fetcher.py | Track-your-parliament/track-your-parliament-data | 1ab9d9fe5cf4921e4cc792d0e3db3263557daafd | [
"MIT"
] | null | null | null | import urllib.request, json
import pandas as pd
baseUrl = 'https://avoindata.eduskunta.fi/api/v1/tables/VaskiData'
parameters = 'rows?columnName=Eduskuntatunnus&columnValue=LA%25&perPage=100'
page = 0
df = ''
while True:
print(f'Fetching page number {page}')
with urllib.request.urlopen(f'{baseUrl}/{parameters... | 29.333333 | 94 | 0.641414 | 100 | 792 | 5.04 | 0.63 | 0.051587 | 0.087302 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.015873 | 0.204545 | 792 | 27 | 95 | 29.333333 | 0.784127 | 0 | 0 | 0 | 0 | 0 | 0.319042 | 0.163934 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.105263 | 0 | 0.105263 | 0.052632 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe2717913fd1b6cb1c949e299c54e281bc41335e | 2,899 | py | Python | examples/Catboost_regression-scorer_usage.py | emaldonadocruz/UTuning | b32207bcbeb80e4c07e098bcbe4d5ce8b3fee778 | [
"BSD-3-Clause"
] | null | null | null | examples/Catboost_regression-scorer_usage.py | emaldonadocruz/UTuning | b32207bcbeb80e4c07e098bcbe4d5ce8b3fee778 | [
"BSD-3-Clause"
] | null | null | null | examples/Catboost_regression-scorer_usage.py | emaldonadocruz/UTuning | b32207bcbeb80e4c07e098bcbe4d5ce8b3fee778 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 20 16:15:37 2021
@author: em42363
"""
# In[1]: Import functions
'''
CatBoost is a high-performance open source library for gradient boosting
on decision trees
'''
from catboost import CatBoostRegressor
from sklearn.model_selection import train_test_split
import pandas a... | 26.354545 | 102 | 0.703001 | 434 | 2,899 | 4.534562 | 0.373272 | 0.02439 | 0.014228 | 0.02439 | 0.259146 | 0.215447 | 0.195122 | 0.034553 | 0 | 0 | 0 | 0.034994 | 0.162125 | 2,899 | 109 | 103 | 26.59633 | 0.775216 | 0.119007 | 0 | 0.043478 | 0 | 0 | 0.123344 | 0.059845 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021739 | false | 0 | 0.217391 | 0 | 0.26087 | 0.065217 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe27a69a39058bf33d488a199887b8c07ffdf22c | 1,683 | py | Python | sujson/_logger.py | PotasnikM/translator-to-suJSON | abb2001c78d431bd2087754666bc896ba0543dfd | [
"MIT"
] | 2 | 2019-07-01T12:45:25.000Z | 2020-06-23T11:48:08.000Z | sujson/_logger.py | PotasnikM/translator-to-suJSON | abb2001c78d431bd2087754666bc896ba0543dfd | [
"MIT"
] | 17 | 2019-04-25T10:46:40.000Z | 2020-11-10T09:28:55.000Z | sujson/_logger.py | PotasnikM/translator-to-suJSON | abb2001c78d431bd2087754666bc896ba0543dfd | [
"MIT"
] | 3 | 2019-06-22T19:51:08.000Z | 2021-02-08T09:17:55.000Z | import logging
from platform import system
from tqdm import tqdm
from multiprocessing import Lock
loggers = {}
# https://stackoverflow.com/questions/38543506/
class TqdmLoggingHandler(logging.Handler):
def __init__(self, level=logging.NOTSET):
super(TqdmLoggingHandler, self).__init__(level)
def emit... | 29.017241 | 110 | 0.655971 | 193 | 1,683 | 5.663212 | 0.414508 | 0.029277 | 0.095151 | 0.025618 | 0.120769 | 0.120769 | 0.120769 | 0 | 0 | 0 | 0 | 0.039514 | 0.218063 | 1,683 | 57 | 111 | 29.526316 | 0.791033 | 0.087344 | 0 | 0 | 0 | 0 | 0.079051 | 0.055336 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.102564 | 0 | 0.25641 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe27abc65b6073ec58be633f81761077a129a312 | 1,243 | py | Python | face-detect.py | Gicehajunior/face-recognition-detection-OpenCv-Python | 6551285ce5b4532d8b6f3ad6b8e9a29564673ea9 | [
"Unlicense"
] | null | null | null | face-detect.py | Gicehajunior/face-recognition-detection-OpenCv-Python | 6551285ce5b4532d8b6f3ad6b8e9a29564673ea9 | [
"Unlicense"
] | null | null | null | face-detect.py | Gicehajunior/face-recognition-detection-OpenCv-Python | 6551285ce5b4532d8b6f3ad6b8e9a29564673ea9 | [
"Unlicense"
] | null | null | null | import cv2
import sys
import playsound
face_cascade = cv2.CascadeClassifier('cascades/haarcascade_frontalface_default.xml')
# capture video using cv2
video_capture = cv2.VideoCapture(0)
while True:
# capture frame by frame, i.e, one by one
ret, frame = video_capture.read()
gray = cv2.cvtColor(frame... | 28.25 | 85 | 0.563154 | 153 | 1,243 | 4.51634 | 0.522876 | 0.034732 | 0.031838 | 0.037627 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.040719 | 0.328238 | 1,243 | 43 | 86 | 28.906977 | 0.786826 | 0.134352 | 0 | 0.068966 | 0 | 0 | 0.116822 | 0.041122 | 0 | 0 | 0.003738 | 0 | 0 | 1 | 0 | false | 0.034483 | 0.103448 | 0 | 0.103448 | 0.068966 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe27fecf1f48f5d4699cad091ca66149a513fe9b | 7,938 | py | Python | sis/enrollments.py | ryanlovett/sis-cli | 5efe5b9344b547c3f1365ef63a0ad33ec013fcca | [
"Apache-2.0"
] | null | null | null | sis/enrollments.py | ryanlovett/sis-cli | 5efe5b9344b547c3f1365ef63a0ad33ec013fcca | [
"Apache-2.0"
] | null | null | null | sis/enrollments.py | ryanlovett/sis-cli | 5efe5b9344b547c3f1365ef63a0ad33ec013fcca | [
"Apache-2.0"
] | null | null | null | # vim:set et sw=4 ts=4:
import logging
import sys
import jmespath
from . import sis, classes
# logging
logging.basicConfig(stream=sys.stdout, level=logging.WARNING)
logger = logging.getLogger(__name__)
# SIS endpoint
enrollments_uri = "https://apis.berkeley.edu/sis/v2/enrollments"
# apparently some courses have LA... | 37.620853 | 105 | 0.68317 | 984 | 7,938 | 5.340447 | 0.208333 | 0.015985 | 0.018268 | 0.018839 | 0.341009 | 0.24529 | 0.213701 | 0.172788 | 0.156422 | 0.114558 | 0 | 0.00725 | 0.20068 | 7,938 | 210 | 106 | 37.8 | 0.820961 | 0.163769 | 0 | 0.205882 | 0 | 0 | 0.210957 | 0.087163 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095588 | false | 0 | 0.029412 | 0.014706 | 0.257353 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe292b4982f3dd8af18a6b88ccaadbbba6d158ef | 8,012 | py | Python | imitation_learning/generate_demonstrations/gen_envs.py | HaiDangDang/2020-flatland | abbf2f7f62fabf6da0937f80c2181f1c457ce24a | [
"MIT"
] | 1 | 2021-02-21T02:54:35.000Z | 2021-02-21T02:54:35.000Z | imitation_learning/generate_demonstrations/gen_envs.py | HaiDangDang/2020-flatland | abbf2f7f62fabf6da0937f80c2181f1c457ce24a | [
"MIT"
] | null | null | null | imitation_learning/generate_demonstrations/gen_envs.py | HaiDangDang/2020-flatland | abbf2f7f62fabf6da0937f80c2181f1c457ce24a | [
"MIT"
] | null | null | null | from flatland.envs.agent_utils import RailAgentStatus
from flatland.envs.malfunction_generators import malfunction_from_params, MalfunctionParameters
from flatland.envs.observations import GlobalObsForRailEnv
from flatland.envs.rail_env import RailEnv
from flatland.envs.rail_generators import sparse_rail_generator
from... | 29.240876 | 96 | 0.623689 | 982 | 8,012 | 4.898167 | 0.226069 | 0.043243 | 0.04657 | 0.030561 | 0.33264 | 0.296258 | 0.259044 | 0.245738 | 0.208108 | 0.208108 | 0 | 0.026302 | 0.259735 | 8,012 | 273 | 97 | 29.347985 | 0.784691 | 0.079256 | 0 | 0.176796 | 0 | 0 | 0.076505 | 0.003261 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049724 | false | 0 | 0.082873 | 0 | 0.160221 | 0.121547 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe2e74a698807b4b6d0cf881031198f5da548dd4 | 1,891 | py | Python | Image Recognition/utils/BayesianModels/Bayesian3Conv3FC.py | AlanMorningLight/PyTorch-BayesianCNN | 5de7133f09dd10135bf605efbdd26c18f2a4df13 | [
"MIT"
] | 1 | 2020-02-10T12:58:25.000Z | 2020-02-10T12:58:25.000Z | utils/BayesianModels/Bayesian3Conv3FC.py | SulemanKhurram/ThesisExperiments | 4fdf7b6558c87a096dcdc374c35085ac946d3a58 | [
"MIT"
] | null | null | null | utils/BayesianModels/Bayesian3Conv3FC.py | SulemanKhurram/ThesisExperiments | 4fdf7b6558c87a096dcdc374c35085ac946d3a58 | [
"MIT"
] | null | null | null | import torch.nn as nn
from utils.BBBlayers import BBBConv2d, BBBLinearFactorial, FlattenLayer
class BBB3Conv3FC(nn.Module):
"""
Simple Neural Network having 3 Convolution
and 3 FC layers with Bayesian layers.
"""
def __init__(self, outputs, inputs):
super(BBB3Conv3FC, self).__init__()
... | 35.679245 | 89 | 0.599683 | 229 | 1,891 | 4.886463 | 0.340611 | 0.022341 | 0.062556 | 0.040214 | 0.124218 | 0.124218 | 0.088472 | 0.088472 | 0 | 0 | 0 | 0.069733 | 0.28715 | 1,891 | 53 | 90 | 35.679245 | 0.760386 | 0.060814 | 0 | 0.052632 | 0 | 0 | 0.034618 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0.026316 | 0.052632 | 0 | 0.157895 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe2fc61a568a0e2538b7b1f99349a5186a485475 | 8,657 | py | Python | custom_scripts/load_animals.py | nphilou/influence-release | bcf3603705b6ff172bcb62123aef0248afa77a05 | [
"MIT"
] | null | null | null | custom_scripts/load_animals.py | nphilou/influence-release | bcf3603705b6ff172bcb62123aef0248afa77a05 | [
"MIT"
] | null | null | null | custom_scripts/load_animals.py | nphilou/influence-release | bcf3603705b6ff172bcb62123aef0248afa77a05 | [
"MIT"
] | null | null | null | import os
from tensorflow.contrib.learn.python.learn.datasets import base
import numpy as np
import IPython
from subprocess import call
from keras.preprocessing import image
from influence.dataset import DataSet
from influence.inception_v3 import preprocess_input
BASE_DIR = 'data' # TODO: change
def fill(X, Y, id... | 35.479508 | 167 | 0.611644 | 1,210 | 8,657 | 4.047934 | 0.135537 | 0.023479 | 0.046958 | 0.0343 | 0.561862 | 0.53185 | 0.449367 | 0.368722 | 0.307472 | 0.280114 | 0 | 0.021666 | 0.274922 | 8,657 | 243 | 168 | 35.625514 | 0.758643 | 0.068615 | 0 | 0.357542 | 0 | 0 | 0.069921 | 0.007824 | 0 | 0 | 0 | 0.004115 | 0 | 1 | 0.03352 | false | 0 | 0.044693 | 0 | 0.100559 | 0.055866 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe2fd1a403e44db33fca9bd236a441a4df247ba1 | 13,000 | py | Python | src/qiskit_aws_braket_provider/awsbackend.py | carstenblank/qiskit-aws-braket-provider | 539f0c75c2ccf1f6e5e981b92ea74f497fcba237 | [
"Apache-2.0"
] | 7 | 2020-09-25T17:16:54.000Z | 2021-05-20T10:42:52.000Z | src/qiskit_aws_braket_provider/awsbackend.py | carstenblank/qiskit-aws-braket-provider | 539f0c75c2ccf1f6e5e981b92ea74f497fcba237 | [
"Apache-2.0"
] | 4 | 2020-09-21T19:33:39.000Z | 2020-09-22T12:21:11.000Z | src/qiskit_aws_braket_provider/awsbackend.py | carstenblank/qiskit-aws-braket-provider | 539f0c75c2ccf1f6e5e981b92ea74f497fcba237 | [
"Apache-2.0"
] | 1 | 2020-09-21T19:32:16.000Z | 2020-09-21T19:32:16.000Z | # Copyright 2020 Carsten Blank
#
# 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... | 45.138889 | 144 | 0.666923 | 1,664 | 13,000 | 4.918269 | 0.16887 | 0.058651 | 0.041056 | 0.026393 | 0.417155 | 0.377199 | 0.353495 | 0.34433 | 0.31085 | 0.306574 | 0 | 0.014246 | 0.244077 | 13,000 | 287 | 145 | 45.296167 | 0.818561 | 0.089154 | 0 | 0.26009 | 0 | 0 | 0.098713 | 0.039197 | 0 | 0 | 0 | 0.003484 | 0.004484 | 1 | 0.076233 | false | 0.008969 | 0.089686 | 0.004484 | 0.255605 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe30812932f608889eaceef38afb76f593b3db27 | 3,830 | py | Python | gpu_bdb/queries/q26/gpu_bdb_query_26.py | VibhuJawa/gpu-bdb | 13987b4ef8b92db3b9d2905dec7bd2fd81f42ae9 | [
"Apache-2.0"
] | 62 | 2020-05-14T13:33:02.000Z | 2020-10-29T13:28:26.000Z | gpu_bdb/queries/q26/gpu_bdb_query_26.py | VibhuJawa/gpu-bdb | 13987b4ef8b92db3b9d2905dec7bd2fd81f42ae9 | [
"Apache-2.0"
] | 104 | 2020-07-01T21:07:42.000Z | 2020-11-13T16:36:04.000Z | gpu_bdb/queries/q26/gpu_bdb_query_26.py | VibhuJawa/gpu-bdb | 13987b4ef8b92db3b9d2905dec7bd2fd81f42ae9 | [
"Apache-2.0"
] | 21 | 2020-05-14T14:44:40.000Z | 2020-11-07T12:08:28.000Z | #
# Copyright (c) 2019-2022, NVIDIA CORPORATION.
#
# 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 ag... | 31.138211 | 115 | 0.703655 | 549 | 3,830 | 4.621129 | 0.380692 | 0.024832 | 0.030745 | 0.021285 | 0.076074 | 0.069373 | 0.044935 | 0 | 0 | 0 | 0 | 0.014984 | 0.198433 | 3,830 | 122 | 116 | 31.393443 | 0.811401 | 0.268407 | 0 | 0.026316 | 0 | 0 | 0.07709 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.039474 | false | 0 | 0.092105 | 0 | 0.171053 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe3188f73830a0839c72948677e1605c9ae2ae83 | 1,586 | py | Python | tdclient/test/database_model_test.py | minchuang/td-client-python | 6cf6dfbb60119f400274491d3e942d4f9fbcebd6 | [
"Apache-2.0"
] | 2 | 2019-02-22T11:56:17.000Z | 2019-02-25T10:09:46.000Z | tdclient/test/database_model_test.py | minchuang/td-client-python | 6cf6dfbb60119f400274491d3e942d4f9fbcebd6 | [
"Apache-2.0"
] | null | null | null | tdclient/test/database_model_test.py | minchuang/td-client-python | 6cf6dfbb60119f400274491d3e942d4f9fbcebd6 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
from __future__ import print_function
from __future__ import unicode_literals
try:
from unittest import mock
except ImportError:
import mock
from tdclient import models
from tdclient.test.test_helper import *
def setup_function(function):
unset_environ()
def test_database():
c... | 40.666667 | 202 | 0.713745 | 193 | 1,586 | 5.621762 | 0.295337 | 0.090323 | 0.092166 | 0.04977 | 0.354839 | 0.326267 | 0.326267 | 0.237788 | 0.152995 | 0.152995 | 0 | 0.011095 | 0.147541 | 1,586 | 38 | 203 | 41.736842 | 0.79142 | 0.01261 | 0 | 0.064516 | 0 | 0 | 0.20639 | 0 | 0 | 0 | 0 | 0 | 0.290323 | 1 | 0.096774 | false | 0 | 0.225806 | 0 | 0.322581 | 0.032258 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe31f26debb52795b22561b36355ce06ff7905d8 | 558 | py | Python | setup.py | ballcap231/fireTS | 74cc89a14d67edabf31139d1552025d54791f2a9 | [
"MIT"
] | null | null | null | setup.py | ballcap231/fireTS | 74cc89a14d67edabf31139d1552025d54791f2a9 | [
"MIT"
] | null | null | null | setup.py | ballcap231/fireTS | 74cc89a14d67edabf31139d1552025d54791f2a9 | [
"MIT"
] | null | null | null | from setuptools import setup
dependencies = [
'numpy',
'scipy',
'scikit-learn',
]
setup(
name='fireTS',
version='0.0.7',
description='A python package for multi-variate time series prediction',
long_description=open('README.md').read(),
long_description_content_type="text/markdown",
... | 24.26087 | 76 | 0.677419 | 67 | 558 | 5.507463 | 0.835821 | 0.081301 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017429 | 0.177419 | 558 | 22 | 77 | 25.363636 | 0.786492 | 0 | 0 | 0 | 0 | 0 | 0.327957 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.05 | 0 | 0.05 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe3273d41978521818a7243089a132072ef92c5a | 883 | py | Python | euler/py/project_019.py | heyihan/scodes | 342518b548a723916c9273d8ebc1b345a0467e76 | [
"BSD-3-Clause"
] | null | null | null | euler/py/project_019.py | heyihan/scodes | 342518b548a723916c9273d8ebc1b345a0467e76 | [
"BSD-3-Clause"
] | null | null | null | euler/py/project_019.py | heyihan/scodes | 342518b548a723916c9273d8ebc1b345a0467e76 | [
"BSD-3-Clause"
] | null | null | null | # https://projecteuler.net/problem=19
def is_leap(year):
if year%4 != 0:
return False
if year%100 == 0 and year%400 != 0:
return False
return True
def year_days(year):
if is_leap(year):
return 366
return 365
def month_days(month, year):
if month == 4 or month == 6 or m... | 20.534884 | 61 | 0.582106 | 142 | 883 | 3.443662 | 0.338028 | 0.08589 | 0.134969 | 0.04908 | 0.151329 | 0 | 0 | 0 | 0 | 0 | 0 | 0.156507 | 0.312571 | 883 | 42 | 62 | 21.02381 | 0.649094 | 0.075878 | 0 | 0.129032 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.096774 | false | 0 | 0 | 0 | 0.387097 | 0.096774 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe3415df5ab13d93fe351122344f2bd2d2fe4c5f | 3,839 | py | Python | inference.py | zzhang87/ChestXray | eaafe2f7f5e91bb30fbed02dec1f77ff314434b5 | [
"MIT"
] | null | null | null | inference.py | zzhang87/ChestXray | eaafe2f7f5e91bb30fbed02dec1f77ff314434b5 | [
"MIT"
] | 11 | 2020-01-28T21:44:26.000Z | 2022-03-11T23:19:37.000Z | inference.py | zzhang87/ChestXray | eaafe2f7f5e91bb30fbed02dec1f77ff314434b5 | [
"MIT"
] | null | null | null | import keras
import numpy as np
import pandas as pd
import cv2
import os
import json
import pdb
import argparse
import math
import copy
from vis.visualization import visualize_cam, overlay, visualize_activation
from vis.utils.utils import apply_modifications
from shutil import rmtree
import matplotlib.cm as cm
from ma... | 27.035211 | 107 | 0.716593 | 572 | 3,839 | 4.681818 | 0.332168 | 0.033607 | 0.031367 | 0.034354 | 0.034354 | 0.021658 | 0 | 0 | 0 | 0 | 0 | 0.025962 | 0.147174 | 3,839 | 142 | 108 | 27.035211 | 0.791998 | 0.030998 | 0 | 0 | 0 | 0 | 0.094969 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.020833 | false | 0 | 0.25 | 0 | 0.28125 | 0.010417 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe34376d96d5593399f4f9364cf5da83ea7d813b | 530 | py | Python | test/DQueueTest.py | MistSun-Chen/py_verifier | 7e9161d1fdbb611fe4be5eeb2f89a6286fa7b555 | [
"MIT"
] | null | null | null | test/DQueueTest.py | MistSun-Chen/py_verifier | 7e9161d1fdbb611fe4be5eeb2f89a6286fa7b555 | [
"MIT"
] | null | null | null | test/DQueueTest.py | MistSun-Chen/py_verifier | 7e9161d1fdbb611fe4be5eeb2f89a6286fa7b555 | [
"MIT"
] | null | null | null | from libTask import Queue
from common import configParams
from common import common
def main():
cp = configParams.ConfigParams("config.json")
detectGeneralQueue = Queue.DQueue(cp, len(cp.detect_general_ids), cp.modelPath, common.GENERALDETECT_METHOD_ID,
cp.GPUDevices, cp.detect_g... | 35.333333 | 124 | 0.718868 | 68 | 530 | 5.338235 | 0.470588 | 0.055096 | 0.088154 | 0.088154 | 0.220386 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.181132 | 530 | 15 | 125 | 35.333333 | 0.836406 | 0 | 0 | 0 | 0 | 0 | 0.06968 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 0 | 0.363636 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe3599447ec843cd5c9296bccc205dff470707c7 | 1,417 | py | Python | src/Knn-Tensor.py | python-itb/knn-from-scratch | dbc6fb53cffb245a76d35b9ff85ac8cb21877ca8 | [
"MIT"
] | null | null | null | src/Knn-Tensor.py | python-itb/knn-from-scratch | dbc6fb53cffb245a76d35b9ff85ac8cb21877ca8 | [
"MIT"
] | 2 | 2018-03-20T06:47:32.000Z | 2018-10-25T10:54:08.000Z | src/Knn-Tensor.py | python-itb/knn-from-scratch | dbc6fb53cffb245a76d35b9ff85ac8cb21877ca8 | [
"MIT"
] | 4 | 2018-03-20T06:43:11.000Z | 2019-04-15T16:34:28.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Feb 13 18:52:28 2018
@author: amajidsinar
"""
from sklearn import datasets
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('seaborn-white')
iris = datasets.load_iris()
dataset = iris.data
# only take 0th and 1th column for X
data_kno... | 21.149254 | 94 | 0.687368 | 244 | 1,417 | 3.901639 | 0.47541 | 0.080882 | 0.05042 | 0.039916 | 0.042017 | 0 | 0 | 0 | 0 | 0 | 0 | 0.046025 | 0.156669 | 1,417 | 66 | 95 | 21.469697 | 0.750628 | 0.321101 | 0 | 0 | 0 | 0 | 0.014941 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.12 | 0 | 0.12 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe35a3606e5ec595f8753af44fd793743da1ae33 | 2,135 | py | Python | de_test_tron2.py | volpepe/detectron2-ResNeSt | 1481d50880baa615b873b7a18156c06a5606a85c | [
"Apache-2.0"
] | null | null | null | de_test_tron2.py | volpepe/detectron2-ResNeSt | 1481d50880baa615b873b7a18156c06a5606a85c | [
"Apache-2.0"
] | null | null | null | de_test_tron2.py | volpepe/detectron2-ResNeSt | 1481d50880baa615b873b7a18156c06a5606a85c | [
"Apache-2.0"
] | null | null | null | import torch, torchvision
import detectron2
from detectron2.utils.logger import setup_logger
setup_logger()
# import some common libraries
import numpy as np
import os, json, cv2, random
# import some common detectron2 utilities
from detectron2 import model_zoo
from detectron2.engine import DefaultPredic... | 40.283019 | 164 | 0.710539 | 293 | 2,135 | 5.010239 | 0.450512 | 0.066757 | 0.032698 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013575 | 0.171897 | 2,135 | 53 | 165 | 40.283019 | 0.816742 | 0.129274 | 0 | 0 | 0 | 0 | 0.165556 | 0.047222 | 0 | 0 | 0 | 0 | 0 | 1 | 0.051282 | false | 0 | 0.282051 | 0 | 0.358974 | 0.025641 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe35e371f2d0a2c205ae69e2ee6c811fd9ed1de5 | 8,916 | py | Python | pika/data.py | Pankrat/pika | 9f62cbe032e9b4fa0fe1842587ce0702c3926a3d | [
"BSD-3-Clause"
] | null | null | null | pika/data.py | Pankrat/pika | 9f62cbe032e9b4fa0fe1842587ce0702c3926a3d | [
"BSD-3-Clause"
] | null | null | null | pika/data.py | Pankrat/pika | 9f62cbe032e9b4fa0fe1842587ce0702c3926a3d | [
"BSD-3-Clause"
] | null | null | null | """AMQP Table Encoding/Decoding"""
import struct
import decimal
import calendar
from datetime import datetime
from pika import exceptions
from pika.compat import unicode_type, PY2, long, as_bytes
def encode_short_string(pieces, value):
"""Encode a string value as short string and append it to pieces list
ret... | 30.534247 | 80 | 0.596456 | 1,137 | 8,916 | 4.628848 | 0.176781 | 0.079042 | 0.057762 | 0.068402 | 0.444233 | 0.372221 | 0.312939 | 0.302679 | 0.295839 | 0.255368 | 0 | 0.014191 | 0.288694 | 8,916 | 291 | 81 | 30.639175 | 0.815673 | 0.250561 | 0 | 0.306358 | 0 | 0 | 0.018185 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.040462 | false | 0.00578 | 0.034682 | 0 | 0.16763 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe372dac70d64a37ad3e688bb47fa5b1bd4ad42e | 528 | py | Python | tests/fixtures/data_sets/service/dummy/dummy_configurable.py | Agi-dev/pylaas_core | c44866b5e57eb6f05f5b2b8d731f22d62a8c01c2 | [
"MIT"
] | null | null | null | tests/fixtures/data_sets/service/dummy/dummy_configurable.py | Agi-dev/pylaas_core | c44866b5e57eb6f05f5b2b8d731f22d62a8c01c2 | [
"MIT"
] | 2 | 2021-03-25T21:30:41.000Z | 2021-06-01T21:25:37.000Z | tests/fixtures/data_sets/service/dummy/dummy_configurable.py | Agi-dev/pylaas_core | c44866b5e57eb6f05f5b2b8d731f22d62a8c01c2 | [
"MIT"
] | null | null | null | from pylaas_core.abstract.abstract_service import AbstractService
import time
from pylaas_core.interface.technical.container_configurable_aware_interface import ContainerConfigurableAwareInterface
class DummyConfigurable(AbstractService, ContainerConfigurableAwareInterface):
def __init__(self) -> None:
... | 31.058824 | 118 | 0.765152 | 51 | 528 | 7.568627 | 0.568627 | 0.051813 | 0.072539 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00907 | 0.164773 | 528 | 16 | 119 | 33 | 0.866213 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.272727 | 0 | 0.636364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe3be5e4c8643dd88fcaa6473267f6ae2cf76961 | 1,706 | py | Python | examples/peptidecutter/advanced.py | zjuchenyuan/EasyLogin | acc67187d902f20ec64d2d6b9eeb953e2a0ac77d | [
"MIT"
] | 33 | 2016-12-01T01:33:31.000Z | 2021-05-12T03:32:27.000Z | examples/peptidecutter/advanced.py | zjuchenyuan/EasyLogin | acc67187d902f20ec64d2d6b9eeb953e2a0ac77d | [
"MIT"
] | 2 | 2018-04-26T06:58:29.000Z | 2020-01-11T15:18:14.000Z | examples/peptidecutter/advanced.py | zjuchenyuan/EasyLogin | acc67187d902f20ec64d2d6b9eeb953e2a0ac77d | [
"MIT"
] | 4 | 2017-02-24T11:08:45.000Z | 2021-01-13T16:00:33.000Z | from EasyLogin import EasyLogin
from pprint import pprint
def peptidecutter(oneprotein):
a = EasyLogin(proxy="socks5://127.0.0.1:1080") #speed up by using proxy
a.post("http://web.expasy.org/cgi-bin/peptide_cutter/peptidecutter.pl",
"protein={}&enzyme_number=all_enzymes&special_enzyme=Chym&min_pr... | 30.464286 | 200 | 0.579132 | 203 | 1,706 | 4.743842 | 0.458128 | 0.018692 | 0.018692 | 0.047767 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018257 | 0.293669 | 1,706 | 55 | 201 | 31.018182 | 0.780913 | 0.047479 | 0 | 0.297872 | 0 | 0.021277 | 0.183908 | 0.123244 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06383 | false | 0 | 0.06383 | 0.021277 | 0.191489 | 0.042553 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe3e731bfc56815773233eb7a914918e37d052e2 | 974 | py | Python | metadata_service/api/popular_tables.py | worldwise001/amundsenmetadatalibrary | 9914c8b51d38b8bd76d3249eb4f7fcce3e198d09 | [
"Apache-2.0"
] | null | null | null | metadata_service/api/popular_tables.py | worldwise001/amundsenmetadatalibrary | 9914c8b51d38b8bd76d3249eb4f7fcce3e198d09 | [
"Apache-2.0"
] | 1 | 2019-09-21T23:59:46.000Z | 2019-09-21T23:59:46.000Z | metadata_service/api/popular_tables.py | worldwise001/amundsenmetadatalibrary | 9914c8b51d38b8bd76d3249eb4f7fcce3e198d09 | [
"Apache-2.0"
] | 1 | 2019-09-21T23:56:40.000Z | 2019-09-21T23:56:40.000Z | from http import HTTPStatus
from typing import Iterable, Union, Mapping
from flask import request
from flask_restful import Resource, fields, marshal
from metadata_service.proxy import get_proxy_client
popular_table_fields = {
'database': fields.String,
'cluster': fields.String,
'schema': fields.String,
... | 29.515152 | 96 | 0.722793 | 115 | 974 | 5.886957 | 0.417391 | 0.134417 | 0.084195 | 0.076809 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00246 | 0.165298 | 974 | 32 | 97 | 30.4375 | 0.830258 | 0.027721 | 0 | 0 | 0 | 0 | 0.103115 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.227273 | 0 | 0.409091 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe3ee793457d0725edb13bd4a978ffe58340aff1 | 11,708 | py | Python | others/Keras_custom_error.py | rahasayantan/Work-For-Reference | e052da538df84034ec5a0fe3b19c4287de307286 | [
"MIT"
] | null | null | null | others/Keras_custom_error.py | rahasayantan/Work-For-Reference | e052da538df84034ec5a0fe3b19c4287de307286 | [
"MIT"
] | null | null | null | others/Keras_custom_error.py | rahasayantan/Work-For-Reference | e052da538df84034ec5a0fe3b19c4287de307286 | [
"MIT"
] | null | null | null | # define custom R2 metrics for Keras backend
from keras import backend as K
def r2_keras(y_true, y_pred):
SS_res = K.sum(K.square( y_true - y_pred ))
SS_tot = K.sum(K.square( y_true - K.mean(y_true) ) )
return ( 1 - SS_res/(SS_tot + K.epsilon()) )
# base model architecture definition
def model():
... | 31.643243 | 112 | 0.656389 | 1,642 | 11,708 | 4.488429 | 0.227162 | 0.029308 | 0.016418 | 0.010855 | 0.325373 | 0.262687 | 0.191859 | 0.183718 | 0.16228 | 0.153324 | 0 | 0.019026 | 0.214383 | 11,708 | 369 | 113 | 31.728997 | 0.782235 | 0.162965 | 0 | 0.276018 | 0 | 0 | 0.059916 | 0.004747 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049774 | false | 0 | 0.135747 | 0.004525 | 0.235294 | 0.058824 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe4036ba021d5a543848f0719df15257dc0be8cd | 7,239 | py | Python | tests/ut/python/parallel/test_manual_gatherv2.py | PowerOlive/mindspore | bda20724a94113cedd12c3ed9083141012da1f15 | [
"Apache-2.0"
] | 3,200 | 2020-02-17T12:45:41.000Z | 2022-03-31T20:21:16.000Z | tests/ut/python/parallel/test_manual_gatherv2.py | zimo-geek/mindspore | 665ec683d4af85c71b2a1f0d6829356f2bc0e1ff | [
"Apache-2.0"
] | 176 | 2020-02-12T02:52:11.000Z | 2022-03-28T22:15:55.000Z | tests/ut/python/parallel/test_manual_gatherv2.py | zimo-geek/mindspore | 665ec683d4af85c71b2a1f0d6829356f2bc0e1ff | [
"Apache-2.0"
] | 621 | 2020-03-09T01:31:41.000Z | 2022-03-30T03:43:19.000Z | # Copyright 2020 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | 37.703125 | 117 | 0.654234 | 1,016 | 7,239 | 4.448819 | 0.17126 | 0.016372 | 0.013274 | 0.014159 | 0.565044 | 0.546018 | 0.540265 | 0.530973 | 0.512389 | 0.49115 | 0 | 0.061707 | 0.194088 | 7,239 | 191 | 118 | 37.900524 | 0.713061 | 0.088134 | 0 | 0.479167 | 0 | 0 | 0.053143 | 0.006985 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.055556 | 0 | 0.180556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe4088c9d39d6abd819f54e637798544df93b9db | 3,396 | py | Python | ClemBot.Bot/bot/api/tag_route.py | makayla-moster/ClemBot | 26503d25f1fbe2abcf99dbf0f68b17e88ad11a7c | [
"MIT"
] | 121 | 2020-04-25T06:20:28.000Z | 2021-06-07T03:08:46.000Z | ClemBot.Bot/bot/api/tag_route.py | makayla-moster/ClemBot | 26503d25f1fbe2abcf99dbf0f68b17e88ad11a7c | [
"MIT"
] | 180 | 2020-04-25T04:49:51.000Z | 2021-06-22T15:21:30.000Z | ClemBot.Bot/bot/api/tag_route.py | makayla-moster/ClemBot | 26503d25f1fbe2abcf99dbf0f68b17e88ad11a7c | [
"MIT"
] | 72 | 2020-04-25T03:28:49.000Z | 2021-06-20T20:17:00.000Z | from bot.api.api_client import ApiClient
from bot.api.base_route import BaseRoute
import typing as t
from bot.models import Tag
class TagRoute(BaseRoute):
def __init__(self, api_client: ApiClient):
super().__init__(api_client)
async def create_tag(self, name: str, content: str, guild_id: int, user_... | 33.294118 | 114 | 0.564193 | 457 | 3,396 | 4.030635 | 0.170678 | 0.068404 | 0.043431 | 0.053203 | 0.652009 | 0.598263 | 0.561346 | 0.4962 | 0.366992 | 0.317047 | 0 | 0 | 0.324794 | 3,396 | 101 | 115 | 33.623762 | 0.803314 | 0 | 0 | 0.506849 | 0 | 0 | 0.073814 | 0.007733 | 0 | 0 | 0 | 0 | 0 | 1 | 0.013699 | false | 0 | 0.054795 | 0 | 0.260274 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe40ab7f78d9978c2d19631879cf3439c2112560 | 2,967 | py | Python | formfactor_AL.py | kirichoi/PolymerConnectome | 064df932cfca57a97e62dfa9a32d1fa976500906 | [
"MIT"
] | null | null | null | formfactor_AL.py | kirichoi/PolymerConnectome | 064df932cfca57a97e62dfa9a32d1fa976500906 | [
"MIT"
] | null | null | null | formfactor_AL.py | kirichoi/PolymerConnectome | 064df932cfca57a97e62dfa9a32d1fa976500906 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Created on Mon Sep 7 10:59:00 2020
@author: user
"""
import numpy as np
import multiprocessing as mp
import matplotlib.pyplot as plt
import time
import itertools
import ctypes
def formfactor(args):
# with AL_dist_flat_glo.get_lock:
AL_dist_flat_glo_r = np.frombuffer(AL_dist_flat_... | 33.337079 | 110 | 0.625211 | 528 | 2,967 | 3.291667 | 0.246212 | 0.069045 | 0.115075 | 0.112198 | 0.574799 | 0.478711 | 0.406214 | 0.372267 | 0.27733 | 0.253165 | 0 | 0.052326 | 0.188406 | 2,967 | 88 | 111 | 33.715909 | 0.669435 | 0.305022 | 0 | 0 | 0 | 0 | 0.047151 | 0.011788 | 0 | 0 | 0 | 0 | 0 | 1 | 0.042553 | false | 0 | 0.12766 | 0 | 0.191489 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe427f872414bfa986cd9b2c48b6113399437840 | 1,039 | py | Python | utils/tests.py | nanodude/cairocffi | 9d6a9a420a91da80f7901ace9945fd864f5d04dc | [
"BSD-3-Clause"
] | null | null | null | utils/tests.py | nanodude/cairocffi | 9d6a9a420a91da80f7901ace9945fd864f5d04dc | [
"BSD-3-Clause"
] | null | null | null | utils/tests.py | nanodude/cairocffi | 9d6a9a420a91da80f7901ace9945fd864f5d04dc | [
"BSD-3-Clause"
] | null | null | null | # coding: utf-8
import io
import cairo # pycairo
import cairocffi
from pycairo_to_cairocffi import _UNSAFE_pycairo_context_to_cairocffi
from cairocffi_to_pycairo import _UNSAFE_cairocffi_context_to_pycairo
import pango_example
def test():
cairocffi_context = cairocffi.Context(cairocffi.PDFSurface(N... | 34.633333 | 79 | 0.73821 | 139 | 1,039 | 5.122302 | 0.33813 | 0.179775 | 0.105337 | 0.046348 | 0.296348 | 0.122191 | 0.122191 | 0.122191 | 0.122191 | 0.122191 | 0 | 0.032407 | 0.168431 | 1,039 | 29 | 80 | 35.827586 | 0.791667 | 0.06256 | 0 | 0 | 0 | 0 | 0.012752 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.05 | false | 0 | 0.3 | 0 | 0.35 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe440692a08637fae6bb18f0a67dbb7336fec900 | 1,909 | py | Python | gentable/gen_test_cases.py | selavy/studies | e17b91ffab193e46fec00cf2b8070dbf1f2c39e3 | [
"MIT"
] | null | null | null | gentable/gen_test_cases.py | selavy/studies | e17b91ffab193e46fec00cf2b8070dbf1f2c39e3 | [
"MIT"
] | null | null | null | gentable/gen_test_cases.py | selavy/studies | e17b91ffab193e46fec00cf2b8070dbf1f2c39e3 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import random
N = 32
M = 64
# NOTE: 0 is a reserved value
randu = lambda x: random.randint(1, 2**x-1)
randU32 = lambda: randu(32)
randU64 = lambda: randu(64)
fmt_by_dtype = {
'u32hex': '0x{:08x}',
'u64hex': '0x{:016x}',
}
cpp_by_dtype = {
'u32hex': 'uint32_t',
'u64hex': 'ui... | 24.474359 | 83 | 0.572027 | 271 | 1,909 | 3.940959 | 0.313653 | 0.02809 | 0.05618 | 0.030899 | 0.169476 | 0.142322 | 0.041199 | 0 | 0 | 0 | 0 | 0.060201 | 0.216867 | 1,909 | 77 | 84 | 24.792208 | 0.654181 | 0.224725 | 0 | 0.102041 | 0 | 0 | 0.182561 | 0.014305 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0 | 0.020408 | 0.040816 | 0.122449 | 0.265306 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe449c44aa57e39f59499c7b75ef20b3e5b78b64 | 6,143 | py | Python | examples/toy_env/run_toy_env.py | aaspeel/deer | 3ced3695f0ca8537337019d2e3ec0ff8bd346d91 | [
"BSD-3-Clause"
] | null | null | null | examples/toy_env/run_toy_env.py | aaspeel/deer | 3ced3695f0ca8537337019d2e3ec0ff8bd346d91 | [
"BSD-3-Clause"
] | null | null | null | examples/toy_env/run_toy_env.py | aaspeel/deer | 3ced3695f0ca8537337019d2e3ec0ff8bd346d91 | [
"BSD-3-Clause"
] | null | null | null | """Toy environment launcher. See the docs for more details about this environment.
"""
import sys
import logging
import numpy as np
from deer.default_parser import process_args
from deer.agent import NeuralAgent
from deer.learning_algos.q_net_keras import MyQNetwork
from Toy_env import MyEnv as Toy_env
import deer.e... | 39.378205 | 120 | 0.689891 | 764 | 6,143 | 5.408377 | 0.33377 | 0.029042 | 0.018877 | 0.015247 | 0.055179 | 0.040658 | 0.023233 | 0 | 0 | 0 | 0 | 0.015886 | 0.221227 | 6,143 | 155 | 121 | 39.632258 | 0.847826 | 0.447664 | 0 | 0.11828 | 0 | 0 | 0.010756 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.096774 | 0 | 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 |
fe44a3208c6d0b6455e3244b9bf2ee35ca9096e2 | 626 | py | Python | equilibration/sodium_models/seed_1/post_processing/rdf_calculations.py | Dynamical-Systems-Laboratory/IPMCsMD | 7f0662568d37dce7dcd07b648284aa62991d343c | [
"MIT"
] | 2 | 2020-10-30T16:17:01.000Z | 2021-08-23T13:58:03.000Z | equilibration/sodium_models/seed_9/post_processing/rdf_calculations.py | atruszkowska/IPMCsMD | d3900ea4da453bcc037fd946a2ae61cc67e316f5 | [
"MIT"
] | null | null | null | equilibration/sodium_models/seed_9/post_processing/rdf_calculations.py | atruszkowska/IPMCsMD | d3900ea4da453bcc037fd946a2ae61cc67e316f5 | [
"MIT"
] | 3 | 2020-09-14T20:42:47.000Z | 2021-12-13T07:58:16.000Z | # ------------------------------------------------------------------
#
# RDF and CN related analysis
#
# ------------------------------------------------------------------
import sys
py_path = '../../../../postprocessing/'
sys.path.insert(0, py_path)
py_path = '../../../../postprocessing/io_operations/'
sys.path.inse... | 17.885714 | 68 | 0.543131 | 77 | 626 | 4.194805 | 0.480519 | 0.074303 | 0.049536 | 0.086687 | 0.123839 | 0.123839 | 0 | 0 | 0 | 0 | 0 | 0.012821 | 0.127796 | 626 | 34 | 69 | 18.411765 | 0.578755 | 0.376997 | 0 | 0.166667 | 0 | 0 | 0.266667 | 0.181333 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe463c850bc48b7b739387d099ca1d849b457791 | 1,675 | py | Python | venv/Lib/site-packages/plotnine/geoms/geom_pointrange.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | null | null | null | venv/Lib/site-packages/plotnine/geoms/geom_pointrange.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | 1 | 2020-10-02T21:43:06.000Z | 2020-10-15T22:52:39.000Z | venv/Lib/site-packages/plotnine/geoms/geom_pointrange.py | EkremBayar/bayar | aad1a32044da671d0b4f11908416044753360b39 | [
"MIT"
] | null | null | null | from ..doctools import document
from .geom import geom
from .geom_path import geom_path
from .geom_point import geom_point
from .geom_linerange import geom_linerange
@document
class geom_pointrange(geom):
"""
Vertical interval represented by a line with a point
{usage}
Parameters
----------
... | 29.385965 | 70 | 0.577313 | 194 | 1,675 | 4.835052 | 0.42268 | 0.057569 | 0.063966 | 0.057569 | 0.284648 | 0.202559 | 0.202559 | 0.202559 | 0.127932 | 0.127932 | 0 | 0.004177 | 0.285373 | 1,675 | 56 | 71 | 29.910714 | 0.779449 | 0.216716 | 0 | 0.153846 | 0 | 0 | 0.121084 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.192308 | 0 | 0.461538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe468cffe0b2fb47619682741847648e0145af63 | 3,704 | py | Python | app/backend-test/core_models/keras-experiments/run02_try_simple_CNN_generate.py | SummaLabs/DLS | 2adba47430b456ad0f324e4c8883a896a23b3fbf | [
"MIT"
] | 32 | 2017-09-04T17:40:39.000Z | 2021-02-16T23:08:34.000Z | app/backend-test/core_models/keras-experiments/run02_try_simple_CNN_generate.py | AymanNabih/DLS | 2adba47430b456ad0f324e4c8883a896a23b3fbf | [
"MIT"
] | 3 | 2017-10-09T12:52:54.000Z | 2020-06-29T02:48:38.000Z | app/backend-test/core_models/keras-experiments/run02_try_simple_CNN_generate.py | AymanNabih/DLS | 2adba47430b456ad0f324e4c8883a896a23b3fbf | [
"MIT"
] | 20 | 2017-10-07T17:29:50.000Z | 2021-01-23T22:01:54.000Z | #!/usr/bin/python
# -*- coding: utf-8 -*-
__author__ = 'ar'
import json
import os
import skimage.io as skio
import matplotlib.pyplot as plt
import numpy as np
import keras
from keras.models import Model
from keras.layers import Input, Convolution2D, MaxPooling2D, Flatten, Dense
from keras.utils.visualize_util import ... | 31.389831 | 108 | 0.551026 | 418 | 3,704 | 4.739234 | 0.301435 | 0.04846 | 0.040384 | 0.055528 | 0.341747 | 0.289248 | 0.25896 | 0.229682 | 0.215548 | 0.215548 | 0 | 0.025516 | 0.280508 | 3,704 | 117 | 109 | 31.65812 | 0.717824 | 0.046976 | 0 | 0.145833 | 0 | 0 | 0.085773 | 0.00644 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.09375 | 0 | 0.15625 | 0.041667 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe4908b1c0b067e1655d4c242e84ebb2602b1af5 | 11,218 | py | Python | src/main.py | srijankr/DAIN | 89edec24e63383dfd5ef19f2bfb48d11b75b3dde | [
"Apache-2.0"
] | 3 | 2021-08-19T20:11:45.000Z | 2021-08-23T14:20:11.000Z | src/main.py | srijankr/DAIN | 89edec24e63383dfd5ef19f2bfb48d11b75b3dde | [
"Apache-2.0"
] | null | null | null | src/main.py | srijankr/DAIN | 89edec24e63383dfd5ef19f2bfb48d11b75b3dde | [
"Apache-2.0"
] | null | null | null | #@contact Sejoon Oh (soh337@gatech.edu), Georgia Institute of Technology
#@version 1.0
#@date 2021-08-17
#Influence-guided Data Augmentation for Neural Tensor Completion (DAIN)
#This software is free of charge under research purposes.
#For commercial purposes, please contact the main author.
import torch
f... | 45.97541 | 201 | 0.668123 | 1,505 | 11,218 | 4.821262 | 0.168106 | 0.020673 | 0.019294 | 0.013093 | 0.375 | 0.29355 | 0.246692 | 0.213341 | 0.213341 | 0.191428 | 0 | 0.015459 | 0.204225 | 11,218 | 243 | 202 | 46.164609 | 0.797356 | 0.047602 | 0 | 0.179894 | 0 | 0.015873 | 0.125679 | 0.002343 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021164 | false | 0 | 0.137566 | 0 | 0.174603 | 0.089947 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe4b1dcb47180e465318d2ca261b6bc60c83e970 | 1,933 | py | Python | backend/app/auth/service.py | pers0n4/yoonyaho | cf7518667bc7cefff0f9534a5e0af89b261cfed7 | [
"MIT"
] | null | null | null | backend/app/auth/service.py | pers0n4/yoonyaho | cf7518667bc7cefff0f9534a5e0af89b261cfed7 | [
"MIT"
] | 16 | 2021-04-04T10:58:24.000Z | 2021-05-23T11:52:08.000Z | backend/app/auth/service.py | pers0n4/yoonyaho | cf7518667bc7cefff0f9534a5e0af89b261cfed7 | [
"MIT"
] | null | null | null | from datetime import datetime, timedelta
import jwt
from flask import current_app
from app import db
from app.user.repository import UserRepository
class AuthService:
def __init__(self) -> None:
self._user_repository = UserRepository(db.session)
def create_token(self, data) -> dict:
user = ... | 30.203125 | 88 | 0.558717 | 201 | 1,933 | 5.174129 | 0.273632 | 0.040385 | 0.061538 | 0.084615 | 0.575 | 0.550962 | 0.495192 | 0.495192 | 0.495192 | 0.495192 | 0 | 0.013107 | 0.329022 | 1,933 | 63 | 89 | 30.68254 | 0.788743 | 0.019659 | 0 | 0.408163 | 0 | 0 | 0.079852 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.081633 | false | 0.020408 | 0.102041 | 0.020408 | 0.265306 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe4c72b51d2a6fb97aa207f15cdf6884d9d32013 | 4,843 | py | Python | scripts/qlearn.py | kebaek/minigrid | 3808c1401ea7846febf88d0a2fb2aa39e4a4913f | [
"MIT"
] | 5 | 2021-09-29T18:53:37.000Z | 2022-03-01T08:03:42.000Z | scripts/qlearn.py | kebaek/minigrid | 3808c1401ea7846febf88d0a2fb2aa39e4a4913f | [
"MIT"
] | null | null | null | scripts/qlearn.py | kebaek/minigrid | 3808c1401ea7846febf88d0a2fb2aa39e4a4913f | [
"MIT"
] | null | null | null | import _init_paths
import argparse
import random
import time
import utils
import os
from collections import defaultdict
import numpy as np
import csv
from progress.bar import IncrementalBar
from utils.hash import *
def parse_arguments():
parser = argparse.ArgumentParser()
# add arguments
parser.add_argume... | 38.133858 | 175 | 0.628536 | 617 | 4,843 | 4.726094 | 0.243112 | 0.039095 | 0.067215 | 0.01749 | 0.215706 | 0.159122 | 0.125514 | 0.093964 | 0.066529 | 0.066529 | 0 | 0.010301 | 0.258311 | 4,843 | 126 | 176 | 38.436508 | 0.801503 | 0.026843 | 0 | 0.118812 | 0 | 0 | 0.148597 | 0.009354 | 0 | 0 | 0 | 0 | 0 | 1 | 0.029703 | false | 0 | 0.108911 | 0 | 0.148515 | 0.069307 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe4cffed78f06b24cc3c09215a327c208310e601 | 1,634 | py | Python | research/tunnel.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | research/tunnel.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | research/tunnel.py | carrino/FrisPy | db9e59f465ee25d1c037d580c37da8f35b930b50 | [
"MIT"
] | null | null | null | import math
from pprint import pprint
import matplotlib.pyplot as plt
from scipy.optimize import minimize
from frispy import Disc
from frispy import Discs
from frispy import Model
model = Discs.roc
mph_to_mps = 0.44704
v = 56 * mph_to_mps
rot = -v / model.diameter
ceiling = 4 # 4 meter ceiling
tunnel_width = 4 # 4 ... | 27.694915 | 113 | 0.621787 | 274 | 1,634 | 3.649635 | 0.350365 | 0.036 | 0.044 | 0.04 | 0.282 | 0.282 | 0.216 | 0.16 | 0.16 | 0.16 | 0 | 0.04234 | 0.205018 | 1,634 | 58 | 114 | 28.172414 | 0.727483 | 0.050184 | 0 | 0.04878 | 0 | 0 | 0.047896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.170732 | 0 | 0.268293 | 0.073171 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe4e0e23c7947f7d713c88797190743b2b4ea285 | 1,450 | py | Python | openfermioncirq/variational/ansatzes/swap_network_trotter_hubbard_test.py | unpilbaek/OpenFermion-Cirq | d2f5a871bb5aea1e53d280c0a0e4be999b0c8d9d | [
"Apache-2.0"
] | 278 | 2018-07-18T23:43:16.000Z | 2022-01-02T21:38:08.000Z | openfermioncirq/variational/ansatzes/swap_network_trotter_hubbard_test.py | unpilbaek/OpenFermion-Cirq | d2f5a871bb5aea1e53d280c0a0e4be999b0c8d9d | [
"Apache-2.0"
] | 131 | 2018-07-18T19:04:58.000Z | 2020-08-04T21:05:42.000Z | openfermioncirq/variational/ansatzes/swap_network_trotter_hubbard_test.py | unpilbaek/OpenFermion-Cirq | d2f5a871bb5aea1e53d280c0a0e4be999b0c8d9d | [
"Apache-2.0"
] | 101 | 2018-07-18T21:43:50.000Z | 2022-03-04T09:51:02.000Z | # 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
# distribu... | 41.428571 | 80 | 0.65931 | 210 | 1,450 | 4.471429 | 0.414286 | 0.021299 | 0.019169 | 0.021299 | 0.374867 | 0.374867 | 0.374867 | 0.374867 | 0.366347 | 0.366347 | 0 | 0.049912 | 0.212414 | 1,450 | 34 | 81 | 42.647059 | 0.772329 | 0.370345 | 0 | 0.470588 | 0 | 0 | 0.027809 | 0 | 0 | 0 | 0 | 0 | 0.352941 | 1 | 0.058824 | false | 0 | 0.058824 | 0 | 0.117647 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe52100e092cba8f28b9f872d87740877e78ee29 | 5,535 | py | Python | functest/opnfv_tests/openstack/shaker/shaker.py | opnfv-poc/functest | 4f54b282cabccef2a53e21c77c81b60fe890a8a4 | [
"Apache-2.0"
] | null | null | null | functest/opnfv_tests/openstack/shaker/shaker.py | opnfv-poc/functest | 4f54b282cabccef2a53e21c77c81b60fe890a8a4 | [
"Apache-2.0"
] | null | null | null | functest/opnfv_tests/openstack/shaker/shaker.py | opnfv-poc/functest | 4f54b282cabccef2a53e21c77c81b60fe890a8a4 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# Copyright (c) 2018 Orange and others.
#
# All rights reserved. This program and the accompanying materials
# are made available under the terms of the Apache License, Version 2.0
# which accompanies this distribution, and is available at
# http://www.apache.org/licenses/LICENSE-2.0
"""
Shaker_... | 37.910959 | 79 | 0.605239 | 679 | 5,535 | 4.740795 | 0.39028 | 0.041007 | 0.036347 | 0.014911 | 0.131718 | 0.082634 | 0.068966 | 0.068966 | 0.068966 | 0.045356 | 0 | 0.012935 | 0.273713 | 5,535 | 145 | 80 | 38.172414 | 0.787811 | 0.134417 | 0 | 0.073395 | 0 | 0.009174 | 0.218935 | 0.042688 | 0 | 0 | 0 | 0 | 0.009174 | 1 | 0.045872 | false | 0.018349 | 0.055046 | 0 | 0.247706 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5674a5616780733e828478139977dd1166a1db | 2,288 | py | Python | library/pandas_utils.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 5 | 2021-01-14T03:34:42.000Z | 2022-03-07T15:34:18.000Z | library/pandas_utils.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | 551 | 2020-10-19T00:02:38.000Z | 2022-03-30T02:18:22.000Z | library/pandas_utils.py | SACGF/variantgrid | 515195e2f03a0da3a3e5f2919d8e0431babfd9c9 | [
"RSA-MD"
] | null | null | null | import os
import sys
import numpy as np
import pandas as pd
def get_columns_percent_dataframe(df: pd.DataFrame, totals_column=None, percent_names=True) -> pd.DataFrame:
""" @param totals_column: (default = use sum of columns)
@param percent_names: Rename names from 'col' => 'col %'
Return a dataframe... | 28.6 | 108 | 0.649913 | 338 | 2,288 | 4.213018 | 0.281065 | 0.108146 | 0.063904 | 0.042135 | 0.257725 | 0.192416 | 0.183287 | 0.161517 | 0.11236 | 0.11236 | 0 | 0.010315 | 0.237325 | 2,288 | 79 | 109 | 28.962025 | 0.805731 | 0.137675 | 0 | 0.039216 | 0 | 0 | 0.013361 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.176471 | false | 0 | 0.078431 | 0.039216 | 0.431373 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5794e6af44c9c1406d19b02f67dd498db59356 | 2,676 | py | Python | create/create_args_test.py | CarbonROM/android_tools_acloud | 0ed5352df639789767d8ea6fe0a510d7a84cfdcc | [
"Apache-2.0"
] | null | null | null | create/create_args_test.py | CarbonROM/android_tools_acloud | 0ed5352df639789767d8ea6fe0a510d7a84cfdcc | [
"Apache-2.0"
] | null | null | null | create/create_args_test.py | CarbonROM/android_tools_acloud | 0ed5352df639789767d8ea6fe0a510d7a84cfdcc | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 - The Android Open Source Project
#
# 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 ... | 32.240964 | 74 | 0.702167 | 339 | 2,676 | 5.336283 | 0.454277 | 0.039801 | 0.039801 | 0.039801 | 0.114981 | 0.071863 | 0.071863 | 0.071863 | 0.071863 | 0.071863 | 0 | 0.004331 | 0.223468 | 2,676 | 82 | 75 | 32.634146 | 0.866218 | 0.37855 | 0 | 0.093023 | 0 | 0 | 0.004994 | 0 | 0 | 0 | 0 | 0 | 0.069767 | 1 | 0.069767 | false | 0.023256 | 0.139535 | 0 | 0.255814 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe57a342e2e561171bed3dec28d69a69629da501 | 452 | py | Python | setup.py | Kannuki-san/msman | adc275ad0508d65753c8424e7f6b94becee0b855 | [
"MIT"
] | null | null | null | setup.py | Kannuki-san/msman | adc275ad0508d65753c8424e7f6b94becee0b855 | [
"MIT"
] | null | null | null | setup.py | Kannuki-san/msman | adc275ad0508d65753c8424e7f6b94becee0b855 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from cx_Freeze import setup,Executable
icondata='icon.ico'
base = None
# GUI=有効, CUI=無効 にする
if sys.platform == 'win32' : base = 'win32GUI'
exe = Executable(script = 'main.py',
base = base,
#icon=icondata
... | 17.384615 | 47 | 0.550885 | 52 | 452 | 4.769231 | 0.807692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022436 | 0.309735 | 452 | 26 | 48 | 17.384615 | 0.772436 | 0.163717 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe57f5cf47823b7ec7c95916bb4e6edc61679b1b | 2,903 | py | Python | stereotype/roles.py | petee-d/stereotype | 33a2efc826fd907bd23ffb4e8f7cba119ff022ce | [
"MIT"
] | 6 | 2021-05-26T10:45:50.000Z | 2022-01-31T17:36:10.000Z | stereotype/roles.py | petee-d/stereotype | 33a2efc826fd907bd23ffb4e8f7cba119ff022ce | [
"MIT"
] | null | null | null | stereotype/roles.py | petee-d/stereotype | 33a2efc826fd907bd23ffb4e8f7cba119ff022ce | [
"MIT"
] | null | null | null | from __future__ import annotations
from threading import Lock
from typing import List, Set, Optional, Any, Tuple
from stereotype.utils import ConfigurationError
class Role:
__slots__ = ('code', 'name', 'empty_by_default')
def __init__(self, name: str, empty_by_default: bool = False):
self.name = na... | 34.975904 | 111 | 0.654151 | 344 | 2,903 | 5.18314 | 0.241279 | 0.092541 | 0.047112 | 0.050477 | 0.154795 | 0.117779 | 0.089736 | 0.089736 | 0.089736 | 0.089736 | 0 | 0.000456 | 0.244575 | 2,903 | 82 | 112 | 35.402439 | 0.812586 | 0 | 0 | 0.081967 | 0 | 0 | 0.093352 | 0.021702 | 0 | 0 | 0 | 0 | 0.016393 | 1 | 0.163934 | false | 0 | 0.065574 | 0.081967 | 0.42623 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe59e0ae9caf8657811351b2ce6b7040c6d723dc | 7,175 | py | Python | WEB21-1-12/WEB2/power/zvl_test.py | coderdq/vuetest | 28ea4f36e2c4e7e80d1ba1777ef312733ef84048 | [
"MIT"
] | null | null | null | WEB21-1-12/WEB2/power/zvl_test.py | coderdq/vuetest | 28ea4f36e2c4e7e80d1ba1777ef312733ef84048 | [
"MIT"
] | null | null | null | WEB21-1-12/WEB2/power/zvl_test.py | coderdq/vuetest | 28ea4f36e2c4e7e80d1ba1777ef312733ef84048 | [
"MIT"
] | null | null | null | # coding:utf-8
'''
矢网的测试项,包括增益,带内波动,VSWR
一个曲线最多建10个marker
'''
import os
import logging
from commoninterface.zvlbase import ZVLBase
logger = logging.getLogger('ghost')
class HandleZVL(object):
def __init__(self, ip, offset):
self.zvl = None
self.ip = ip
self.offset = float(offset)
def... | 34.830097 | 108 | 0.557073 | 879 | 7,175 | 4.386803 | 0.202503 | 0.058091 | 0.073911 | 0.032676 | 0.486515 | 0.432313 | 0.392894 | 0.280083 | 0.256743 | 0.225104 | 0 | 0.043612 | 0.319303 | 7,175 | 205 | 109 | 35 | 0.745905 | 0.106481 | 0 | 0.414286 | 0 | 0 | 0.058075 | 0.011256 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078571 | false | 0 | 0.021429 | 0 | 0.192857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5a25378e13e098be2b1cdb76f7062e2c91b9b5 | 2,410 | py | Python | kshell/partial_level_density.py | ErlendLima/70Zn | 1bf73adec5a3960e195788bc1f4bc79b2086be64 | [
"MIT"
] | null | null | null | kshell/partial_level_density.py | ErlendLima/70Zn | 1bf73adec5a3960e195788bc1f4bc79b2086be64 | [
"MIT"
] | null | null | null | kshell/partial_level_density.py | ErlendLima/70Zn | 1bf73adec5a3960e195788bc1f4bc79b2086be64 | [
"MIT"
] | null | null | null | from __future__ import division
import numpy as np
import matplotlib.pyplot as plt
import shellmodelutilities as smutil
# Set bin width and range
bin_width = 0.20
Emax = 14
Nbins = int(np.ceil(Emax/bin_width))
Emax_adjusted = bin_width*Nbins # Trick to get an integer number of bins
bins = np.linspace(0,Emax_adjust... | 34.927536 | 170 | 0.674274 | 446 | 2,410 | 3.515695 | 0.374439 | 0.040179 | 0.044643 | 0.033163 | 0.102041 | 0.102041 | 0.102041 | 0.102041 | 0.102041 | 0.102041 | 0 | 0.068226 | 0.148548 | 2,410 | 68 | 171 | 35.441176 | 0.695906 | 0.26805 | 0 | 0.047619 | 0 | 0 | 0.04298 | 0.012607 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.119048 | 0 | 0.190476 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5b20986b78369a49dfb31999fcc5213f36f3e2 | 15,480 | py | Python | tests/integration/test_provider_base.py | neuro-inc/platform-buckets-api | ba04edeb8565fa06e5af6d0316957a8816b087b2 | [
"Apache-2.0"
] | null | null | null | tests/integration/test_provider_base.py | neuro-inc/platform-buckets-api | ba04edeb8565fa06e5af6d0316957a8816b087b2 | [
"Apache-2.0"
] | 55 | 2021-11-16T00:26:52.000Z | 2022-03-29T03:16:55.000Z | tests/integration/test_provider_base.py | neuro-inc/platform-buckets-api | ba04edeb8565fa06e5af6d0316957a8816b087b2 | [
"Apache-2.0"
] | null | null | null | import abc
import secrets
from collections.abc import AsyncIterator, Awaitable, Callable, Mapping
from contextlib import AbstractAsyncContextManager, asynccontextmanager
from dataclasses import dataclass
from datetime import datetime, timezone
import pytest
from aiohttp import ClientSession
from yarl import URL
from ... | 35.022624 | 88 | 0.655749 | 1,686 | 15,480 | 5.734282 | 0.094306 | 0.124535 | 0.080575 | 0.097745 | 0.738519 | 0.695801 | 0.6536 | 0.618225 | 0.609433 | 0.597745 | 0 | 0.005208 | 0.268152 | 15,480 | 441 | 89 | 35.102041 | 0.848177 | 0.000969 | 0 | 0.577128 | 0 | 0 | 0.030201 | 0 | 0 | 0 | 0 | 0 | 0.047872 | 1 | 0.007979 | false | 0.010638 | 0.047872 | 0.005319 | 0.103723 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5bf9f4fe33b1e74de5e5a8a91381afcd0d937c | 576 | py | Python | appserver/search/views.py | sinag/SWE574-Horuscope | 9725dd356cbfd19f0ce88d4a208c872be765bd88 | [
"MIT"
] | null | null | null | appserver/search/views.py | sinag/SWE574-Horuscope | 9725dd356cbfd19f0ce88d4a208c872be765bd88 | [
"MIT"
] | null | null | null | appserver/search/views.py | sinag/SWE574-Horuscope | 9725dd356cbfd19f0ce88d4a208c872be765bd88 | [
"MIT"
] | 1 | 2020-08-07T12:54:51.000Z | 2020-08-07T12:54:51.000Z | from django.http import HttpResponse
from django.shortcuts import render, redirect
from community.models import Community
# Create your views here.
def search_basic(request):
communities = None
if request.POST:
community_query = request.POST.get('community_search', False)
communities = Commun... | 30.315789 | 88 | 0.744792 | 65 | 576 | 6.476923 | 0.492308 | 0.078385 | 0.109264 | 0.142518 | 0.320665 | 0.320665 | 0.320665 | 0.320665 | 0.320665 | 0.320665 | 0 | 0 | 0.161458 | 576 | 18 | 89 | 32 | 0.871636 | 0.039931 | 0 | 0.181818 | 0 | 0 | 0.156934 | 0.087591 | 0 | 0 | 0 | 0 | 0 | 1 | 0.090909 | false | 0 | 0.272727 | 0 | 0.545455 | 0.090909 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5c97158341c4d0d209389c3a2affb30b2d34bf | 9,772 | py | Python | qcodes_contrib_drivers/drivers/Oxford/ILM200.py | jenshnielsen/Qcodes_contrib_drivers | dc878cdd99a62f4643a62163a3a6341f98cee440 | [
"MIT"
] | null | null | null | qcodes_contrib_drivers/drivers/Oxford/ILM200.py | jenshnielsen/Qcodes_contrib_drivers | dc878cdd99a62f4643a62163a3a6341f98cee440 | [
"MIT"
] | 2 | 2020-05-29T11:00:52.000Z | 2020-10-09T06:18:11.000Z | qcodes_contrib_drivers/drivers/Oxford/ILM200.py | jenshnielsen/Qcodes_contrib_drivers | dc878cdd99a62f4643a62163a3a6341f98cee440 | [
"MIT"
] | 1 | 2020-04-24T01:15:44.000Z | 2020-04-24T01:15:44.000Z | # OxfordInstruments_ILM200.py class, to perform the communication between the Wrapper and the device
# Copyright (c) 2017 QuTech (Delft)
# Code is available under the available under the `MIT open-source license <https://opensource.org/licenses/MIT>`__
#
# Pieter Eendebak <pieter.eendebak@tno.nl>, 2017
# Takafumi Fujit... | 32.144737 | 115 | 0.556283 | 1,147 | 9,772 | 4.589364 | 0.28422 | 0.018617 | 0.031345 | 0.028875 | 0.237652 | 0.140957 | 0.115122 | 0.079407 | 0.06345 | 0.06345 | 0 | 0.019994 | 0.344863 | 9,772 | 303 | 116 | 32.250825 | 0.802249 | 0.360827 | 0 | 0.134921 | 0 | 0 | 0.163254 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.126984 | false | 0 | 0.031746 | 0 | 0.222222 | 0.007937 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5cdd0275ff0c38add8e228ff02333ee397a98c | 4,417 | py | Python | load_cifar_10.py | xgxofdream/CNN-Using-Local-CIFAR-10-dataset | 8076056da58a5b564ded50f4cdb059585deb900d | [
"Apache-2.0"
] | null | null | null | load_cifar_10.py | xgxofdream/CNN-Using-Local-CIFAR-10-dataset | 8076056da58a5b564ded50f4cdb059585deb900d | [
"Apache-2.0"
] | null | null | null | load_cifar_10.py | xgxofdream/CNN-Using-Local-CIFAR-10-dataset | 8076056da58a5b564ded50f4cdb059585deb900d | [
"Apache-2.0"
] | null | null | null | import numpy as np
import matplotlib.pyplot as plt
import pickle
"""
The CIFAR-10 dataset consists of 60000 32x32 colour images in 10 classes, with 6000 images per class. There are 50000
training images and 10000 test images.
The dataset is divided into five training batches and one test batch, each with 10000 image... | 36.808333 | 118 | 0.699796 | 645 | 4,417 | 4.494574 | 0.244961 | 0.096585 | 0.086927 | 0.037254 | 0.361159 | 0.298034 | 0.162815 | 0.12832 | 0.098655 | 0.073129 | 0 | 0.029047 | 0.197193 | 4,417 | 119 | 119 | 37.117647 | 0.788494 | 0.150781 | 0 | 0.078125 | 0 | 0 | 0.070058 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.046875 | 0 | 0.109375 | 0.109375 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5d25adf1fa45402acfda5811c79b3110e5df76 | 3,054 | py | Python | volatility3/framework/plugins/mac/lsmod.py | leohearts/volatility3 | f52bd8d74fc47e63ea2611d0171b63dc589d4fdf | [
"Linux-OpenIB"
] | null | null | null | volatility3/framework/plugins/mac/lsmod.py | leohearts/volatility3 | f52bd8d74fc47e63ea2611d0171b63dc589d4fdf | [
"Linux-OpenIB"
] | null | null | null | volatility3/framework/plugins/mac/lsmod.py | leohearts/volatility3 | f52bd8d74fc47e63ea2611d0171b63dc589d4fdf | [
"Linux-OpenIB"
] | null | null | null | # This file is Copyright 2019 Volatility Foundation and licensed under the Volatility Software License 1.0
# which is available at https://www.volatilityfoundation.org/license/vsl-v1.0
#
"""A module containing a collection of plugins that produce data typically
found in Mac's lsmod command."""
from volatility3.framewor... | 34.704545 | 114 | 0.630321 | 337 | 3,054 | 5.599407 | 0.388724 | 0.039746 | 0.063593 | 0.023847 | 0.073132 | 0.073132 | 0.073132 | 0.073132 | 0.073132 | 0.073132 | 0 | 0.013755 | 0.285855 | 3,054 | 87 | 115 | 35.103448 | 0.851444 | 0.208579 | 0 | 0.28 | 0 | 0 | 0.044406 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.08 | false | 0 | 0.1 | 0.04 | 0.34 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe5f1c04bf52b3ba6d57139fe21bba52f39a4f4c | 6,901 | py | Python | pyscf/prop/esr/uks.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | 2 | 2021-08-03T12:32:25.000Z | 2021-09-29T08:19:02.000Z | pyscf/prop/esr/uks.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | null | null | null | pyscf/prop/esr/uks.py | azag0/pyscf | 1e3e27b61b3cfd22c9679d2c9851c13b3ebc5a1b | [
"Apache-2.0"
] | 2 | 2020-06-01T05:31:38.000Z | 2022-02-08T02:38:33.000Z | #!/usr/bin/env python
# Copyright 2014-2019 The PySCF Developers. 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
#
# U... | 36.707447 | 89 | 0.613534 | 1,128 | 6,901 | 3.580674 | 0.263298 | 0.02253 | 0.035405 | 0.040852 | 0.321862 | 0.281753 | 0.240654 | 0.235702 | 0.195098 | 0.167863 | 0 | 0.060419 | 0.246921 | 6,901 | 187 | 90 | 36.903743 | 0.71676 | 0.156354 | 0 | 0.092308 | 0 | 0 | 0.045643 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.084615 | 0 | 0.169231 | 0.023077 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe605cdea9d8787846418bf36b3fc74d17111206 | 11,661 | py | Python | corehq/apps/domain/deletion.py | shyamkumarlchauhan/commcare-hq | 99df931bcf56e9fbe15d8fcb0dc98b5a3957fb48 | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/domain/deletion.py | shyamkumarlchauhan/commcare-hq | 99df931bcf56e9fbe15d8fcb0dc98b5a3957fb48 | [
"BSD-3-Clause"
] | null | null | null | corehq/apps/domain/deletion.py | shyamkumarlchauhan/commcare-hq | 99df931bcf56e9fbe15d8fcb0dc98b5a3957fb48 | [
"BSD-3-Clause"
] | null | null | null | import itertools
import logging
from datetime import date
from django.apps import apps
from django.conf import settings
from django.db import connection, transaction
from django.db.models import Q
from dimagi.utils.chunked import chunked
from corehq.apps.accounting.models import Subscription
from corehq.apps.account... | 41.646429 | 108 | 0.725924 | 1,290 | 11,661 | 6.266667 | 0.256589 | 0.117516 | 0.027214 | 0.020411 | 0.17949 | 0.120732 | 0.063582 | 0.029193 | 0.029193 | 0.029193 | 0 | 0.000821 | 0.164051 | 11,661 | 279 | 109 | 41.795699 | 0.828478 | 0.047595 | 0 | 0.059091 | 0 | 0 | 0.223795 | 0.038666 | 0 | 0 | 0 | 0.003584 | 0 | 1 | 0.086364 | false | 0 | 0.104545 | 0.004545 | 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 |
fe609a5c6fba0b3499c6abf7b2ebbe251d3d8901 | 8,056 | py | Python | icosphere/icosphere.py | JackWalpole/icosahedron | 5317d8eb9509abe275beb2693730e3efaa986672 | [
"MIT"
] | 2 | 2017-10-02T23:36:49.000Z | 2021-12-21T06:12:16.000Z | icosphere/icosphere.py | JackWalpole/icosphere | 5317d8eb9509abe275beb2693730e3efaa986672 | [
"MIT"
] | null | null | null | icosphere/icosphere.py | JackWalpole/icosphere | 5317d8eb9509abe275beb2693730e3efaa986672 | [
"MIT"
] | null | null | null | """Subdivided icosahedral mesh generation"""
from __future__ import print_function
import numpy as np
# following: http://blog.andreaskahler.com/2009/06/creating-icosphere-mesh-in-code.html
# hierarchy:
# Icosphere -> Triangle -> Point
class IcoSphere:
"""
Usage: IcoSphere(level)
Maximum supported level =... | 37.64486 | 96 | 0.544067 | 1,052 | 8,056 | 4.118821 | 0.19962 | 0.077544 | 0.083083 | 0.106162 | 0.36649 | 0.291715 | 0.17586 | 0.14355 | 0.14355 | 0.14355 | 0 | 0.032816 | 0.303997 | 8,056 | 214 | 97 | 37.64486 | 0.739968 | 0.1893 | 0 | 0.037313 | 0 | 0 | 0.042502 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.089552 | false | 0.007463 | 0.029851 | 0 | 0.186567 | 0.022388 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe6109edbf02869c5f97fef83d0ae614ddf0da76 | 8,091 | py | Python | targets/baremetal-sdk/curie-bsp/setup.py | ideas-detoxes/jerryscript | 42523bd6e2b114755498c9f68fd78545f9b33476 | [
"Apache-2.0"
] | 4,324 | 2016-11-25T11:25:27.000Z | 2022-03-31T03:24:49.000Z | targets/baremetal-sdk/curie-bsp/setup.py | ideas-detoxes/jerryscript | 42523bd6e2b114755498c9f68fd78545f9b33476 | [
"Apache-2.0"
] | 2,099 | 2016-11-25T08:08:59.000Z | 2022-03-12T07:41:20.000Z | targets/baremetal-sdk/curie-bsp/setup.py | lygstate/jerryscript | 55acdf2048b390d0f56f12e64dbfb2559f0e70ad | [
"Apache-2.0"
] | 460 | 2016-11-25T07:16:10.000Z | 2022-03-24T14:05:29.000Z | #!/usr/bin/env python
# Copyright JS Foundation and other contributors, http://js.foundation
#
# 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.... | 32.107143 | 113 | 0.66024 | 1,100 | 8,091 | 4.607273 | 0.224545 | 0.036701 | 0.04341 | 0.027624 | 0.20955 | 0.143646 | 0.113852 | 0.060576 | 0.053275 | 0.053275 | 0 | 0.006365 | 0.20393 | 8,091 | 251 | 114 | 32.23506 | 0.780469 | 0.193548 | 0 | 0 | 0 | 0 | 0.274537 | 0.066635 | 0 | 0 | 0 | 0 | 0 | 1 | 0.077419 | false | 0 | 0.019355 | 0 | 0.129032 | 0.025806 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe613281281e5fa651291114e4bc822aff3309a5 | 2,001 | py | Python | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/17_features/numtrees_30/rule_20.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/17_features/numtrees_30/rule_20.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | duke-cs671-fall21-coupon-recommendation/outputs/rules/RF/17_features/numtrees_30/rule_20.py | apcarrik/kaggle | 6e2d4db58017323e7ba5510bcc2598e01a4ee7bf | [
"MIT"
] | null | null | null | def findDecision(obj): #obj[0]: Passanger, obj[1]: Weather, obj[2]: Time, obj[3]: Coupon, obj[4]: Coupon_validity, obj[5]: Gender, obj[6]: Age, obj[7]: Maritalstatus, obj[8]: Children, obj[9]: Education, obj[10]: Occupation, obj[11]: Income, obj[12]: Bar, obj[13]: Coffeehouse, obj[14]: Restaurant20to50, obj[15]: Direct... | 37.754717 | 347 | 0.571714 | 289 | 2,001 | 3.913495 | 0.211073 | 0.123784 | 0.095491 | 0.105217 | 0.392573 | 0.296198 | 0.20336 | 0.121132 | 0.070734 | 0 | 0 | 0.092534 | 0.216892 | 2,001 | 52 | 348 | 38.480769 | 0.629228 | 0.54023 | 0 | 0.5 | 0 | 0 | 0.10011 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe61ee9fb03a144ec04e2fb8220326b27f35be96 | 18,786 | py | Python | main.py | AdrienCourtois/DexiNed | 1198c043f4ed46efd7ad7bc77edf39ba66f0f3b1 | [
"MIT"
] | null | null | null | main.py | AdrienCourtois/DexiNed | 1198c043f4ed46efd7ad7bc77edf39ba66f0f3b1 | [
"MIT"
] | null | null | null | main.py | AdrienCourtois/DexiNed | 1198c043f4ed46efd7ad7bc77edf39ba66f0f3b1 | [
"MIT"
] | null | null | null |
from __future__ import print_function
import argparse
import os
import time, platform
import cv2
import torch
import torch.optim as optim
from torch.utils.data import DataLoader
from datasets import DATASET_NAMES, BipedDataset, TestDataset, dataset_info
from losses import *
from model import DexiNed
# from model0C ... | 42.406321 | 121 | 0.524806 | 2,107 | 18,786 | 4.475083 | 0.170859 | 0.026726 | 0.050483 | 0.01209 | 0.42645 | 0.370877 | 0.322304 | 0.303001 | 0.285396 | 0.252731 | 0 | 0.026567 | 0.370861 | 18,786 | 442 | 122 | 42.502262 | 0.771216 | 0.103535 | 0 | 0.340058 | 0 | 0 | 0.131715 | 0.00161 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017291 | false | 0 | 0.037464 | 0 | 0.060519 | 0.048991 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe62800d500daa91f541e4f0b0257370caac7c78 | 5,905 | py | Python | src/core/build/pretreat_targets.py | chaoyangcui/test_developertest | 151309bf6cdc7e31493a3461d3c7f17a1b371c09 | [
"Apache-2.0"
] | null | null | null | src/core/build/pretreat_targets.py | chaoyangcui/test_developertest | 151309bf6cdc7e31493a3461d3c7f17a1b371c09 | [
"Apache-2.0"
] | null | null | null | src/core/build/pretreat_targets.py | chaoyangcui/test_developertest | 151309bf6cdc7e31493a3461d3c7f17a1b371c09 | [
"Apache-2.0"
] | 1 | 2021-09-13T12:03:37.000Z | 2021-09-13T12:03:37.000Z | #!/usr/bin/env python3
# coding=utf-8
#
# Copyright (c) 2021 Huawei Device Co., Ltd.
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unle... | 39.366667 | 78 | 0.573412 | 746 | 5,905 | 4.30563 | 0.219839 | 0.03736 | 0.0467 | 0.056663 | 0.307908 | 0.232254 | 0.188356 | 0.146015 | 0.136364 | 0.136364 | 0 | 0.007667 | 0.271126 | 5,905 | 149 | 79 | 39.630872 | 0.738615 | 0.11685 | 0 | 0.115385 | 0 | 0 | 0.089885 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086538 | false | 0 | 0.057692 | 0 | 0.211538 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe63a253f1cf19a404c6e2b601535edfb1888800 | 657 | py | Python | tests/testapp/urls.py | lukaszbanasiak/django-contrib-comments | 8a99ed810e9e94cb9dff1c362b2c4ebe2e37dead | [
"BSD-3-Clause"
] | 1 | 2018-05-29T08:43:57.000Z | 2018-05-29T08:43:57.000Z | tests/testapp/urls.py | lukaszbanasiak/django-contrib-comments | 8a99ed810e9e94cb9dff1c362b2c4ebe2e37dead | [
"BSD-3-Clause"
] | null | null | null | tests/testapp/urls.py | lukaszbanasiak/django-contrib-comments | 8a99ed810e9e94cb9dff1c362b2c4ebe2e37dead | [
"BSD-3-Clause"
] | 1 | 2018-08-25T01:38:12.000Z | 2018-08-25T01:38:12.000Z | from __future__ import absolute_import
from django.conf.urls import patterns, url
from django_comments.feeds import LatestCommentFeed
from custom_comments import views
feeds = {
'comments': LatestCommentFeed,
}
urlpatterns = patterns('',
url(r'^post/$', views.custom_submit_comment),
url(r'^flag/(\d+)... | 26.28 | 105 | 0.692542 | 78 | 657 | 5.641026 | 0.384615 | 0.045455 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121766 | 657 | 24 | 106 | 27.375 | 0.762565 | 0 | 0 | 0 | 0 | 0 | 0.232877 | 0.09589 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.235294 | 0 | 0.235294 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe646aafd2f602c63f8aacb84f51c78795b63990 | 7,537 | py | Python | cctbx/maptbx/tst_target_and_gradients.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | cctbx/maptbx/tst_target_and_gradients.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | cctbx/maptbx/tst_target_and_gradients.py | rimmartin/cctbx_project | 644090f9432d9afc22cfb542fc3ab78ca8e15e5d | [
"BSD-3-Clause-LBNL"
] | null | null | null | from __future__ import division
from cctbx.array_family import flex
from cctbx import xray
from cctbx import crystal
from cctbx import maptbx
from cctbx.maptbx import minimization
from libtbx.test_utils import approx_equal
import random
from cctbx.development import random_structure
from cctbx import sgtbx
if (1):
r... | 36.235577 | 80 | 0.667109 | 1,089 | 7,537 | 4.277319 | 0.146924 | 0.025762 | 0.036496 | 0.041219 | 0.681408 | 0.653499 | 0.608416 | 0.588235 | 0.563332 | 0.5 | 0 | 0.031118 | 0.21547 | 7,537 | 207 | 81 | 36.410628 | 0.756638 | 0.043784 | 0 | 0.502793 | 0 | 0 | 0.009516 | 0 | 0 | 0 | 0 | 0 | 0.089385 | 1 | 0.055866 | false | 0 | 0.055866 | 0 | 0.139665 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe66e2796ab20353c3b7dbe7a834d55cb22ebb8a | 1,212 | py | Python | open_imagilib/matrix.py | viktor-ferenczi/open-imagilib | 3e7328840d58fd49eda28490e9bddf91390b1981 | [
"MIT"
] | 2 | 2022-01-17T17:22:01.000Z | 2022-01-22T13:11:33.000Z | open_imagilib/matrix.py | viktor-ferenczi/open-imagilib | 3e7328840d58fd49eda28490e9bddf91390b1981 | [
"MIT"
] | null | null | null | open_imagilib/matrix.py | viktor-ferenczi/open-imagilib | 3e7328840d58fd49eda28490e9bddf91390b1981 | [
"MIT"
] | null | null | null | """ LED matrix
"""
__all__ = ['Matrix']
from .colors import Color, on, off
from .fonts import font_6x8
class Matrix(list):
def __init__(self, source=None) -> None:
if source is None:
row_iter = ([off for _ in range(8)] for _ in range(8))
elif isinstance(source, list):
row... | 26.347826 | 89 | 0.487624 | 159 | 1,212 | 3.559748 | 0.36478 | 0.04947 | 0.056537 | 0.038869 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02578 | 0.391914 | 1,212 | 45 | 90 | 26.933333 | 0.742198 | 0.008251 | 0 | 0 | 0 | 0 | 0.045226 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.09375 | false | 0 | 0.0625 | 0 | 0.21875 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe68679524344d1cb6b9cfd2e5daf3c7c5e16099 | 1,704 | py | Python | comprehend.py | korniichuk/cvr-features | ed3569222781258d4de242db3c9b51f19573bacb | [
"Unlicense"
] | null | null | null | comprehend.py | korniichuk/cvr-features | ed3569222781258d4de242db3c9b51f19573bacb | [
"Unlicense"
] | null | null | null | comprehend.py | korniichuk/cvr-features | ed3569222781258d4de242db3c9b51f19573bacb | [
"Unlicense"
] | null | null | null | # -*- coding: utf-8 -*-
# Name: comprehend
# Version: 0.1a2
# Owner: Ruslan Korniichuk
# Maintainer(s):
import boto3
def get_sentiment(text, language_code='en'):
"""Get sentiment.
Inspects text and returns an inference of the prevailing sentiment
(positive, neutral, mixed, or negative).
Args:
... | 32.150943 | 78 | 0.6473 | 242 | 1,704 | 4.528926 | 0.450413 | 0.027372 | 0.029197 | 0.05292 | 0.432482 | 0.432482 | 0.361314 | 0.361314 | 0.361314 | 0.361314 | 0 | 0.014354 | 0.264085 | 1,704 | 52 | 79 | 32.769231 | 0.859649 | 0.687793 | 0 | 0 | 0 | 0 | 0.059957 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.071429 | 0 | 0.357143 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe6923b1aa562920cf3b40c7be4c7dd797b7d3f4 | 1,039 | py | Python | pbx_gs_python_utils/lambdas/utils/puml_to_slack.py | owasp-sbot/pbx-gs-python-utils | f448aa36c4448fc04d30c3a5b25640ea4d44a267 | [
"Apache-2.0"
] | 3 | 2018-12-14T15:43:46.000Z | 2019-04-25T07:44:58.000Z | pbx_gs_python_utils/lambdas/utils/puml_to_slack.py | owasp-sbot/pbx-gs-python-utils | f448aa36c4448fc04d30c3a5b25640ea4d44a267 | [
"Apache-2.0"
] | 1 | 2019-05-11T14:19:37.000Z | 2019-05-11T14:51:04.000Z | pbx_gs_python_utils/lambdas/utils/puml_to_slack.py | owasp-sbot/pbx-gs-python-utils | f448aa36c4448fc04d30c3a5b25640ea4d44a267 | [
"Apache-2.0"
] | 4 | 2018-12-27T04:54:14.000Z | 2019-05-11T14:07:47.000Z | import base64
import tempfile
import requests
from osbot_aws.apis import Secrets
from osbot_aws.apis.Lambdas import Lambdas
def upload_png_file(channel_id, file):
bot_token = Secrets('slack-gs-bot').value()
my_file = {
'file': ('/tmp/myfile.png', open(file, 'rb'), 'png')
}
p... | 28.081081 | 86 | 0.589028 | 128 | 1,039 | 4.609375 | 0.460938 | 0.040678 | 0.045763 | 0.054237 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007722 | 0.252166 | 1,039 | 36 | 87 | 28.861111 | 0.751609 | 0 | 0 | 0 | 0 | 0 | 0.167469 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.185185 | 0 | 0.333333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe694e90c7ac984d467776f89ad0bcfbd5ee4819 | 2,131 | py | Python | src/system_io/input.py | DeseineClement/bigdata-housing-classifier | aa864056c8b25217821f59d16c1ba5725c21a185 | [
"MIT"
] | null | null | null | src/system_io/input.py | DeseineClement/bigdata-housing-classifier | aa864056c8b25217821f59d16c1ba5725c21a185 | [
"MIT"
] | null | null | null | src/system_io/input.py | DeseineClement/bigdata-housing-classifier | aa864056c8b25217821f59d16c1ba5725c21a185 | [
"MIT"
] | null | null | null | from sys import argv
from getopt import getopt
from os import R_OK, access
from string import Template
DEFAULT_DATASET_FILE_PATH = "dataset/data.csv"
DEFAULT_DATASET_COLUMNS = ['surface (m2)', 'height (m)', 'latitude', 'housing_type', 'longitude', 'country_code',
'city']
DEFAULT_VISU = ["sca... | 41.784314 | 120 | 0.633975 | 264 | 2,131 | 4.924242 | 0.310606 | 0.076154 | 0.064615 | 0.073846 | 0.132308 | 0.061538 | 0.061538 | 0.061538 | 0 | 0 | 0 | 0.011229 | 0.247771 | 2,131 | 50 | 121 | 42.62 | 0.79975 | 0 | 0 | 0 | 0 | 0 | 0.177851 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02381 | false | 0 | 0.095238 | 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 |
fe6bf9a13a6fe5e608e3131b9e7d5730fd32e4d4 | 1,490 | py | Python | netmiko/example7.py | Tes3awy/Ntemiko-Examples | b29aa3b0de14916f1ebac5b0f1ed7fe37d8740ba | [
"MIT"
] | 3 | 2021-05-20T05:34:49.000Z | 2022-02-14T03:35:10.000Z | netmiko/example7.py | Tes3awy/Ntemiko-Examples | b29aa3b0de14916f1ebac5b0f1ed7fe37d8740ba | [
"MIT"
] | null | null | null | netmiko/example7.py | Tes3awy/Ntemiko-Examples | b29aa3b0de14916f1ebac5b0f1ed7fe37d8740ba | [
"MIT"
] | 2 | 2021-08-19T12:34:47.000Z | 2022-03-28T15:48:55.000Z | # Must run example4.py first
# Read an Excel sheet and save running config of devices using pandas
import pandas as pd
from netmiko import ConnectHandler
# Read Excel file of .xlsx format
data = pd.read_excel(io="Example4-Device-Details.xlsx", sheet_name=0)
# Convert data to data frame
df = pd.DataFrame(data=data)
... | 31.702128 | 85 | 0.658389 | 212 | 1,490 | 4.533019 | 0.495283 | 0.031217 | 0.067638 | 0.05411 | 0.187305 | 0.187305 | 0.187305 | 0 | 0 | 0 | 0 | 0.014311 | 0.249664 | 1,490 | 46 | 86 | 32.391304 | 0.845259 | 0.357718 | 0 | 0 | 0 | 0 | 0.177282 | 0.057325 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.038462 | 0.076923 | 0 | 0.076923 | 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 |
fe6cc530fb4e5b20aac699a77d75b91318a5ca68 | 2,385 | py | Python | inference-engine/tests/ie_test_utils/functional_test_utils/layer_tests_summary/utils/constants.py | plaidml/openvino | e784ab8ab7821cc1503d9c5ca6034eea112bf52b | [
"Apache-2.0"
] | null | null | null | inference-engine/tests/ie_test_utils/functional_test_utils/layer_tests_summary/utils/constants.py | plaidml/openvino | e784ab8ab7821cc1503d9c5ca6034eea112bf52b | [
"Apache-2.0"
] | 105 | 2020-06-04T00:23:29.000Z | 2022-02-21T13:04:33.000Z | inference-engine/tests/ie_test_utils/functional_test_utils/layer_tests_summary/utils/constants.py | mpapaj/openvino | 37b46de1643a2ba6c3b6a076f81d0a47115ede7e | [
"Apache-2.0"
] | 1 | 2020-10-23T06:45:11.000Z | 2020-10-23T06:45:11.000Z | # Copyright (C) 2021 Intel Corporation
# SPDX-License-Identifier: Apache-2.0
VERIFIED_OP_REFERENCES = [
'Abs-1',
'Acos-1',
'Add-1',
'Asin-1',
'Asinh-3',
'Assign-6',
'AvgPool-1',
'BatchNormInference-5',
'BatchToSpace-2',
'BinaryConvolution-1',
'Broadcast-1',
'Broadcast-3'... | 20.211864 | 58 | 0.568134 | 238 | 2,385 | 5.684874 | 0.52521 | 0.014782 | 0.019217 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.066814 | 0.240671 | 2,385 | 117 | 59 | 20.384615 | 0.680287 | 0.030189 | 0 | 0.017544 | 0 | 0 | 0.6 | 0.131602 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe6ce225addf6075e565169dfeb40c47ef8bca4d | 18,542 | py | Python | ghub/githubutils.py | mahanthathreyee/ghub | b212ca068ef530d034095e6ef5d964e4e78dc022 | [
"MIT"
] | null | null | null | ghub/githubutils.py | mahanthathreyee/ghub | b212ca068ef530d034095e6ef5d964e4e78dc022 | [
"MIT"
] | null | null | null | ghub/githubutils.py | mahanthathreyee/ghub | b212ca068ef530d034095e6ef5d964e4e78dc022 | [
"MIT"
] | null | null | null | """Utilities for interacting with GitHub"""
import os
import json
import webbrowser
import stat
import sys
from git import Repo
from .context import Context
event_dict = {
"added_to_project": (
lambda event: "{} added the issue to a project.".format(event["actor"]["login"])
),
"assigned": (
... | 36.936255 | 99 | 0.584349 | 2,146 | 18,542 | 4.912861 | 0.122088 | 0.093901 | 0.064877 | 0.047804 | 0.63701 | 0.589111 | 0.524044 | 0.485535 | 0.465617 | 0.44143 | 0 | 0.008335 | 0.288211 | 18,542 | 501 | 100 | 37.00998 | 0.790499 | 0.010355 | 0 | 0.504405 | 0 | 0 | 0.178146 | 0.004912 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04185 | false | 0.002203 | 0.015419 | 0 | 0.129956 | 0.085903 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe7228704cb0dda0e1c0b7305078fa094d1a0478 | 2,843 | py | Python | influxdb/tests/server_tests/base.py | ocworld/influxdb-python | a6bfe3e4643fdc775c97e1c4f457bc35d86e631e | [
"MIT"
] | 2 | 2019-10-17T05:36:51.000Z | 2020-06-30T00:27:22.000Z | influxdb/tests/server_tests/base.py | ocworld/influxdb-python | a6bfe3e4643fdc775c97e1c4f457bc35d86e631e | [
"MIT"
] | null | null | null | influxdb/tests/server_tests/base.py | ocworld/influxdb-python | a6bfe3e4643fdc775c97e1c4f457bc35d86e631e | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
"""Define the base module for server test."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import sys
from influxdb.tests import using_pypy
from influxdb.tests.server_tests.influxdb_instanc... | 30.902174 | 74 | 0.655645 | 303 | 2,843 | 5.940594 | 0.343234 | 0.054444 | 0.04 | 0.033333 | 0.263889 | 0.166667 | 0.166667 | 0.098889 | 0.098889 | 0 | 0 | 0.000479 | 0.266268 | 2,843 | 91 | 75 | 31.241758 | 0.862416 | 0.322898 | 0 | 0.382979 | 0 | 0 | 0.029252 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.170213 | false | 0 | 0.191489 | 0 | 0.404255 | 0.021277 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe739da7293d52a3a7c4940166ba21b32df8a642 | 9,107 | py | Python | genemail/testing.py | cadithealth/genemail | d906ad9deec70a6b19b66c244044d4466df2371a | [
"MIT"
] | 5 | 2015-08-13T05:22:54.000Z | 2018-08-28T14:14:55.000Z | genemail/testing.py | cadithealth/genemail | d906ad9deec70a6b19b66c244044d4466df2371a | [
"MIT"
] | null | null | null | genemail/testing.py | cadithealth/genemail | d906ad9deec70a6b19b66c244044d4466df2371a | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
#------------------------------------------------------------------------------
# file: $Id$
# auth: Philip J Grabner <grabner@cadit.com>
# date: 2013/10/21
# copy: (C) Copyright 2013 Cadit Health Inc., All Rights Reserved.
#-----------------------------------------------------------------------... | 41.584475 | 88 | 0.533326 | 899 | 9,107 | 5.302558 | 0.220245 | 0.043633 | 0.041536 | 0.029369 | 0.310678 | 0.28005 | 0.259702 | 0.200336 | 0.155444 | 0.127124 | 0 | 0.017458 | 0.16976 | 9,107 | 218 | 89 | 41.775229 | 0.613014 | 0.284616 | 0 | 0.216783 | 0 | 0 | 0.072536 | 0.003875 | 0 | 0 | 0 | 0.004587 | 0.321678 | 1 | 0.13986 | false | 0.027972 | 0.020979 | 0.013986 | 0.251748 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe75c11d0a13c6adf86f05d6ce0d9f94ca54fb9c | 5,410 | py | Python | src/training_utils/training.py | JoseLuisRojasAranda/tfmodels | 56dce0236f0cc03dd7031aecf305d470c9fb97a9 | [
"MIT"
] | 1 | 2020-06-05T23:25:03.000Z | 2020-06-05T23:25:03.000Z | src/training_utils/training.py | JoseLuisRojasAranda/tfmodels | 56dce0236f0cc03dd7031aecf305d470c9fb97a9 | [
"MIT"
] | null | null | null | src/training_utils/training.py | JoseLuisRojasAranda/tfmodels | 56dce0236f0cc03dd7031aecf305d470c9fb97a9 | [
"MIT"
] | null | null | null | import os
from os import path
import json
import shutil
import tensorflow as tf
import numpy as np
# Importa cosas de Keras API
from tensorflow.keras.optimizers import Adam, RMSprop
from tensorflow.keras.models import Sequential
from tensorflow.keras.utils import plot_model
# Importa callbacks del modelo
from traini... | 35.359477 | 84 | 0.697227 | 717 | 5,410 | 5.153417 | 0.267782 | 0.029229 | 0.017862 | 0.020568 | 0.200271 | 0.18295 | 0.15751 | 0.117997 | 0.106631 | 0.064411 | 0 | 0.002079 | 0.199815 | 5,410 | 152 | 85 | 35.592105 | 0.851467 | 0.302773 | 0 | 0.074074 | 0 | 0 | 0.154775 | 0.011803 | 0 | 0 | 0 | 0.006579 | 0 | 1 | 0.049383 | false | 0 | 0.160494 | 0 | 0.234568 | 0.061728 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe774ebe12faa6fdf372c8d9db66e886229109cb | 3,563 | py | Python | setup.py | truggles/pudl | 6f41664f8243b8f7aafdbbfc8522f96043dbf561 | [
"MIT"
] | null | null | null | setup.py | truggles/pudl | 6f41664f8243b8f7aafdbbfc8522f96043dbf561 | [
"MIT"
] | null | null | null | setup.py | truggles/pudl | 6f41664f8243b8f7aafdbbfc8522f96043dbf561 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
"""Setup script to make PUDL directly installable with pip."""
import os
from pathlib import Path
from setuptools import find_packages, setup
install_requires = [
'coloredlogs',
'datapackage>=1.9.0',
'dbfread',
'goodtables',
'matplotlib',
'networkx>=2.2',
'numpy',
... | 30.452991 | 79 | 0.641033 | 419 | 3,563 | 5.310263 | 0.563246 | 0.026966 | 0.017079 | 0.026966 | 0.033258 | 0.033258 | 0 | 0 | 0 | 0 | 0 | 0.016181 | 0.219478 | 3,563 | 116 | 80 | 30.715517 | 0.783891 | 0.156329 | 0 | 0.020408 | 0 | 0 | 0.488473 | 0.078851 | 0 | 0 | 0 | 0.008621 | 0 | 1 | 0 | false | 0 | 0.030612 | 0 | 0.030612 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe77c98170bf9d8232497412401b6f749ddb70f7 | 7,836 | py | Python | src/vulnix/nvd.py | dermetfan/vulnix | 06daccda0e51098fbdbc65f61b6663c5c6df9358 | [
"BSD-3-Clause"
] | 217 | 2016-07-03T10:45:56.000Z | 2022-03-30T12:06:51.000Z | src/vulnix/nvd.py | dermetfan/vulnix | 06daccda0e51098fbdbc65f61b6663c5c6df9358 | [
"BSD-3-Clause"
] | 70 | 2016-06-27T08:47:22.000Z | 2022-01-22T19:10:53.000Z | src/vulnix/nvd.py | dermetfan/vulnix | 06daccda0e51098fbdbc65f61b6663c5c6df9358 | [
"BSD-3-Clause"
] | 24 | 2016-06-27T09:23:50.000Z | 2022-01-30T05:32:22.000Z | from BTrees import OOBTree
from datetime import datetime, date, timedelta
from persistent import Persistent
from .vulnerability import Vulnerability
import fcntl
import glob
import gzip
import json
import logging
import os
import os.path as p
import requests
import transaction
import ZODB
import ZODB.FileStorage
DEFAU... | 32.786611 | 79 | 0.590225 | 963 | 7,836 | 4.660436 | 0.268951 | 0.032086 | 0.018717 | 0.018939 | 0.143939 | 0.113859 | 0.085784 | 0.049465 | 0.049465 | 0.049465 | 0 | 0.004897 | 0.296325 | 7,836 | 238 | 80 | 32.92437 | 0.809032 | 0.144206 | 0 | 0.16185 | 0 | 0 | 0.083627 | 0.003216 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115607 | false | 0 | 0.086705 | 0.011561 | 0.32948 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe7996f8bc015e9c1e0a7458bde9909f14df8fbf | 316 | py | Python | ScapyDoS-main/simp.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-17T03:35:03.000Z | 2021-12-08T06:00:31.000Z | ScapyDoS-main/simp.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | null | null | null | ScapyDoS-main/simp.py | Zusyaku/Termux-And-Lali-Linux-V2 | b1a1b0841d22d4bf2cc7932b72716d55f070871e | [
"Apache-2.0"
] | 2 | 2021-11-05T18:07:48.000Z | 2022-02-24T21:25:07.000Z | from scapy.all import *
src = input("Source IP: ")
target = input("Target IP: ")
i=1
while True:
for srcport in range(1, 65535):
ip = IP(src=src, dst=target)
tcp = TCP(sport=srcport, dport=80)
pkt = ip / tcp
send(pkt, inter= .0001)
print("Packet Sent ", i)
i=i+1 | 22.571429 | 42 | 0.550633 | 48 | 316 | 3.625 | 0.625 | 0.022989 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063636 | 0.303797 | 316 | 14 | 43 | 22.571429 | 0.727273 | 0 | 0 | 0 | 0 | 0 | 0.107256 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.083333 | 0 | 0.083333 | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe7a4e994d80d1a5a6af69534d2790e8dc14f03c | 4,354 | py | Python | data_importer_ftp.py | supsi-dacd-isaac/oasi-ozone-forecaster | 01d23c374e857dcc6d556d073c0380186c2934d2 | [
"MIT"
] | null | null | null | data_importer_ftp.py | supsi-dacd-isaac/oasi-ozone-forecaster | 01d23c374e857dcc6d556d073c0380186c2934d2 | [
"MIT"
] | null | null | null | data_importer_ftp.py | supsi-dacd-isaac/oasi-ozone-forecaster | 01d23c374e857dcc6d556d073c0380186c2934d2 | [
"MIT"
] | null | null | null | # --------------------------------------------------------------------------- #
# Importing section
# --------------------------------------------------------------------------- #
import os
import sys
import argparse
import logging
import json
from classes.alerts import SlackClient
from influxdb import InfluxDBClient... | 41.075472 | 119 | 0.475195 | 406 | 4,354 | 4.955665 | 0.344828 | 0.049205 | 0.014911 | 0.02833 | 0.115308 | 0.102386 | 0.081511 | 0.049702 | 0.049702 | 0 | 0 | 0.003368 | 0.181672 | 4,354 | 105 | 120 | 41.466667 | 0.561325 | 0.307304 | 0 | 0.064516 | 0 | 0 | 0.262097 | 0.018817 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016129 | false | 0.016129 | 0.16129 | 0 | 0.177419 | 0.016129 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe7b77f497a02a03531071b294b121357332567e | 2,791 | py | Python | autoindent_code_JASS_war3map_j.py | gil9red/SimplePyScripts | c191ce08fbdeb29377639184579e392057945154 | [
"CC-BY-4.0"
] | 117 | 2015-12-18T07:18:27.000Z | 2022-03-28T00:25:54.000Z | autoindent_code_JASS_war3map_j.py | gil9red/SimplePyScripts | c191ce08fbdeb29377639184579e392057945154 | [
"CC-BY-4.0"
] | 8 | 2018-10-03T09:38:46.000Z | 2021-12-13T19:51:09.000Z | autoindent_code_JASS_war3map_j.py | gil9red/SimplePyScripts | c191ce08fbdeb29377639184579e392057945154 | [
"CC-BY-4.0"
] | 28 | 2016-08-02T17:43:47.000Z | 2022-03-21T08:31:12.000Z | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
__author__ = 'ipetrash'
import re
DEBUG = False
def merge_str_literal(text: str) -> str:
def _on_match(m: re.Match):
return m.group().replace('"+"', '')
return re.sub(r'".+?"(\+".+?")+ ', _on_match, text)
lines = """
function II1I1_II takes real I... | 23.258333 | 80 | 0.638839 | 360 | 2,791 | 4.741667 | 0.25 | 0.098418 | 0.094903 | 0.049209 | 0.507323 | 0.437024 | 0.437024 | 0.437024 | 0.437024 | 0.437024 | 0 | 0.041551 | 0.223934 | 2,791 | 119 | 81 | 23.453782 | 0.746537 | 0.032605 | 0 | 0.144928 | 0 | 0 | 0.342194 | 0.123731 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028986 | false | 0 | 0.014493 | 0.014493 | 0.072464 | 0.028986 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe7bebb9c7d420d8879b0fc07f857afa803296a1 | 5,656 | py | Python | python/addNewData.py | TruX-DTF/fixminer_source | 5ab2d6f582743c377eadb21cd466a3a25809bc2d | [
"MIT"
] | 5 | 2021-07-19T12:30:00.000Z | 2022-01-14T16:41:00.000Z | python/addNewData.py | SerVal-DTF/fixminer_source | 5ab2d6f582743c377eadb21cd466a3a25809bc2d | [
"MIT"
] | 10 | 2020-04-06T09:52:19.000Z | 2021-06-01T08:05:25.000Z | python/addNewData.py | SerVal-DTF/fixminer_source | 5ab2d6f582743c377eadb21cd466a3a25809bc2d | [
"MIT"
] | 5 | 2019-08-26T11:02:35.000Z | 2021-03-23T15:42:09.000Z | from common.commons import *
DATA_PATH = os.environ["DATA_PATH"]
def core():
clusterPath = join(DATA_PATH, 'shapes')
roots = listdir(clusterPath)
roots = [i for i in roots if not (i.startswith('.') or i.endswith('.pickle'))]
pattern = {}
for root in roots:
root
sizes = listdir(join(... | 39.552448 | 299 | 0.592999 | 635 | 5,656 | 5.248819 | 0.2 | 0.040804 | 0.091209 | 0.10141 | 0.415242 | 0.380138 | 0.341134 | 0.341134 | 0.341134 | 0.341134 | 0 | 0.003672 | 0.277758 | 5,656 | 142 | 300 | 39.830986 | 0.81224 | 0.130304 | 0 | 0.357143 | 0 | 0 | 0.036145 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.035714 | false | 0 | 0.071429 | 0 | 0.107143 | 0.026786 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe8041c5c55101ae0dcfff5c78088fd9a509554f | 6,805 | py | Python | services/ops/LogStatisticsAgent/logstatisticsagent/agent.py | gnmerritt/volttron | ebfbf62bab77d46fd3e8d6aaca1fc4f33932ccf3 | [
"Apache-2.0"
] | 1 | 2020-05-26T01:29:50.000Z | 2020-05-26T01:29:50.000Z | services/ops/LogStatisticsAgent/logstatisticsagent/agent.py | gnmerritt/volttron | ebfbf62bab77d46fd3e8d6aaca1fc4f33932ccf3 | [
"Apache-2.0"
] | null | null | null | services/ops/LogStatisticsAgent/logstatisticsagent/agent.py | gnmerritt/volttron | ebfbf62bab77d46fd3e8d6aaca1fc4f33932ccf3 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*- {{{
# vim: set fenc=utf-8 ft=python sw=4 ts=4 sts=4 et:
#
# Copyright 2019, Battelle Memorial Institute.
#
# 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... | 38.885714 | 103 | 0.680235 | 842 | 6,805 | 5.308789 | 0.349169 | 0.026846 | 0.020134 | 0.021477 | 0.146085 | 0.108725 | 0.057718 | 0.038926 | 0.019687 | 0 | 0 | 0.006887 | 0.231888 | 6,805 | 174 | 104 | 39.109195 | 0.848288 | 0.416605 | 0 | 0.052632 | 0 | 0 | 0.108058 | 0.012682 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078947 | false | 0.013158 | 0.105263 | 0 | 0.223684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe8661c1fd9d01528fabb6e5da9f0d2b06361f3b | 2,857 | py | Python | fmpy/cswrapper/__init__.py | CSchulzeTLK/FMPy | fde192346c36eb69dbaca60a96e80cdc8ef37b89 | [
"CC-BY-3.0",
"CC-BY-4.0"
] | 225 | 2017-05-17T22:33:38.000Z | 2022-03-29T12:41:52.000Z | fmpy/cswrapper/__init__.py | CSchulzeTLK/FMPy | fde192346c36eb69dbaca60a96e80cdc8ef37b89 | [
"CC-BY-3.0",
"CC-BY-4.0"
] | 381 | 2017-05-20T13:31:52.000Z | 2022-03-31T08:20:47.000Z | fmpy/cswrapper/__init__.py | CSchulzeTLK/FMPy | fde192346c36eb69dbaca60a96e80cdc8ef37b89 | [
"CC-BY-3.0",
"CC-BY-4.0"
] | 90 | 2017-05-20T13:34:34.000Z | 2022-03-31T05:14:57.000Z |
def add_cswrapper(filename, outfilename=None):
from fmpy import read_model_description, extract, sharedLibraryExtension, platform, __version__
from lxml import etree
import os
from shutil import copyfile, rmtree
if outfilename is None:
outfilename = filename
model_description = read... | 34.841463 | 125 | 0.672384 | 336 | 2,857 | 5.556548 | 0.357143 | 0.054633 | 0.042849 | 0.038565 | 0.162828 | 0.151044 | 0.109266 | 0.080343 | 0.080343 | 0 | 0 | 0.002699 | 0.221911 | 2,857 | 81 | 126 | 35.271605 | 0.837157 | 0.021351 | 0 | 0.115385 | 0 | 0 | 0.109996 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.038462 | false | 0 | 0.115385 | 0 | 0.153846 | 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 |
fe87946e35b940790f2abaab6a2a55e9294ad44f | 7,305 | py | Python | echoscope/source/mysql_source.py | treeyh/echoscope | ef8933ce9a5dfe2ac8fb6e82bad8d5fa0d72a6da | [
"MIT"
] | 1 | 2022-01-18T09:19:38.000Z | 2022-01-18T09:19:38.000Z | echoscope/source/mysql_source.py | treeyh/echoscope | ef8933ce9a5dfe2ac8fb6e82bad8d5fa0d72a6da | [
"MIT"
] | null | null | null | echoscope/source/mysql_source.py | treeyh/echoscope | ef8933ce9a5dfe2ac8fb6e82bad8d5fa0d72a6da | [
"MIT"
] | 1 | 2022-01-18T09:19:39.000Z | 2022-01-18T09:19:39.000Z | # -*- coding: UTF-8 -*-
import logging
from typing import List
from echoscope.config import config
from echoscope.util import mysql_util, str_util, log_util
from echoscope.model import ds_model, config_model
from echoscope.source import source
class MysqlSource(source.Source):
def __init__(self):
self.exclude... | 39.701087 | 411 | 0.675975 | 951 | 7,305 | 4.921136 | 0.178759 | 0.032906 | 0.061111 | 0.075214 | 0.379915 | 0.350214 | 0.296154 | 0.247009 | 0.13141 | 0.103419 | 0 | 0.001034 | 0.205613 | 7,305 | 183 | 412 | 39.918033 | 0.805445 | 0.113895 | 0 | 0.046296 | 0 | 0.018519 | 0.240057 | 0.036286 | 0 | 0 | 0 | 0 | 0 | 1 | 0.064815 | false | 0.009259 | 0.055556 | 0 | 0.194444 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe8a7abf97fc4938deedb4a0e775164e6040fb1b | 1,042 | py | Python | test-drf-project/tests/conftest.py | fvlima/drf-view-profiler | a61d48e9835679f812d69d24ea740b947836108c | [
"MIT"
] | 30 | 2019-10-16T12:48:16.000Z | 2021-11-23T08:57:27.000Z | test-drf-project/tests/conftest.py | fvlima/drf-view-profiler | a61d48e9835679f812d69d24ea740b947836108c | [
"MIT"
] | null | null | null | test-drf-project/tests/conftest.py | fvlima/drf-view-profiler | a61d48e9835679f812d69d24ea740b947836108c | [
"MIT"
] | 1 | 2021-11-23T07:28:04.000Z | 2021-11-23T07:28:04.000Z | from unittest import mock
import pytest
from django.http import HttpRequest
from rest_framework.response import Response
from rest_framework.test import APIClient
from drf_viewset_profiler.middleware import LineProfilerViewSetMiddleware
@pytest.fixture
def api_client():
return APIClient()
@pytest.fixture
def ... | 24.809524 | 100 | 0.794626 | 126 | 1,042 | 6.246032 | 0.285714 | 0.111817 | 0.101652 | 0.101652 | 0.060991 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130518 | 1,042 | 41 | 101 | 25.414634 | 0.868653 | 0 | 0 | 0.172414 | 0 | 0 | 0.06334 | 0.049904 | 0 | 0 | 0 | 0 | 0 | 1 | 0.172414 | false | 0 | 0.206897 | 0.068966 | 0.551724 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe8b3957ceddf0ec804e544f4e167363b9d84f54 | 3,553 | py | Python | Examples/VirtualLab/virtual_experiment_f.py | diehlpk/muDIC | b5d90aa62267b4bd0b88ae0a989cf09a51990654 | [
"MIT"
] | 70 | 2019-04-15T08:08:23.000Z | 2022-03-23T08:24:25.000Z | Examples/VirtualLab/virtual_experiment_f.py | diehlpk/muDIC | b5d90aa62267b4bd0b88ae0a989cf09a51990654 | [
"MIT"
] | 34 | 2019-05-03T18:09:43.000Z | 2022-02-10T11:36:29.000Z | Examples/VirtualLab/virtual_experiment_f.py | diehlpk/muDIC | b5d90aa62267b4bd0b88ae0a989cf09a51990654 | [
"MIT"
] | 37 | 2019-04-25T15:39:23.000Z | 2022-03-28T21:40:24.000Z | # This allows for running the example when the repo has been cloned
import sys
from os.path import abspath
sys.path.extend([abspath(".")])
# Example code follows
import logging
import numpy as np
import matplotlib.pyplot as plt
import muDIC.vlab as vlab
import muDIC as dic
"""
This example case runs an experiment whe... | 36.628866 | 112 | 0.731776 | 554 | 3,553 | 4.595668 | 0.406137 | 0.009427 | 0.005892 | 0.010605 | 0.070699 | 0.016496 | 0.016496 | 0.010212 | 0 | 0 | 0 | 0.036651 | 0.162961 | 3,553 | 96 | 113 | 37.010417 | 0.819435 | 0.249648 | 0 | 0 | 0 | 0 | 0.121317 | 0.014731 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.137255 | 0 | 0.137255 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe8d5aa19fb8f623818fa75491db0f6d028311d8 | 3,203 | py | Python | Optimisation Portfolios/HERC.py | BrandonAFong/Ideas | 5d38be2dfaba12a534220e3f28a6c9da9aefcdec | [
"MIT"
] | null | null | null | Optimisation Portfolios/HERC.py | BrandonAFong/Ideas | 5d38be2dfaba12a534220e3f28a6c9da9aefcdec | [
"MIT"
] | null | null | null | Optimisation Portfolios/HERC.py | BrandonAFong/Ideas | 5d38be2dfaba12a534220e3f28a6c9da9aefcdec | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Aug 31 22:48:21 2021
@author: apple
"""
import numpy as np
import pandas as pd
from HRP import seriation
import fastcluster
from scipy.cluster.hierarchy import fcluster
from gap_statistic import OptimalK
from backtest import df_to_matrix
#HERC
def... | 28.345133 | 84 | 0.609429 | 435 | 3,203 | 4.34023 | 0.328736 | 0.014831 | 0.023305 | 0.027542 | 0.10911 | 0.055085 | 0 | 0 | 0 | 0 | 0 | 0.015866 | 0.271933 | 3,203 | 113 | 85 | 28.345133 | 0.793739 | 0.086794 | 0 | 0.058824 | 0 | 0 | 0.007898 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044118 | false | 0 | 0.102941 | 0 | 0.191176 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe908006796adb02dbc2aa1b3ab9fa0ac75b1812 | 5,574 | py | Python | sawyer/mujoco/tasks/transition_pick_and_place_task.py | rlagywjd802/gym-sawyer | 385bbeafcccb61afb9099554f6a99b16f1f1a7c5 | [
"MIT"
] | null | null | null | sawyer/mujoco/tasks/transition_pick_and_place_task.py | rlagywjd802/gym-sawyer | 385bbeafcccb61afb9099554f6a99b16f1f1a7c5 | [
"MIT"
] | null | null | null | sawyer/mujoco/tasks/transition_pick_and_place_task.py | rlagywjd802/gym-sawyer | 385bbeafcccb61afb9099554f6a99b16f1f1a7c5 | [
"MIT"
] | null | null | null | import numpy as np
from sawyer.mujoco.tasks.base import ComposableTask
class TransitionTask(ComposableTask):
"""
Task to pick up an object with the robot gripper.
Success condition:
- Object is grasped and has been lifted above the table
"""
def __init__(self):
pass
def compute_... | 28.880829 | 121 | 0.571582 | 760 | 5,574 | 3.911842 | 0.142105 | 0.084763 | 0.0518 | 0.065927 | 0.685167 | 0.612176 | 0.54995 | 0.523713 | 0.523713 | 0.506895 | 0 | 0.028877 | 0.329028 | 5,574 | 192 | 122 | 29.03125 | 0.766043 | 0.079117 | 0 | 0.669118 | 0 | 0 | 0.054884 | 0.004755 | 0 | 0 | 0 | 0 | 0 | 1 | 0.147059 | false | 0.014706 | 0.014706 | 0.022059 | 0.308824 | 0.080882 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe90ddd8fb4cfe4289850e4b9709b973ed6310cd | 36,485 | py | Python | tests/app/test_jinja_filters.py | nealedj/eq-survey-runner | b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34 | [
"MIT"
] | null | null | null | tests/app/test_jinja_filters.py | nealedj/eq-survey-runner | b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34 | [
"MIT"
] | 1 | 2018-11-05T12:00:51.000Z | 2018-11-05T12:00:51.000Z | tests/app/test_jinja_filters.py | nealedj/eq-survey-runner | b8e6cddae6068f6c8fd60e21d31d58aaa79bbb34 | [
"MIT"
] | null | null | null | # coding: utf-8
from types import SimpleNamespace
from datetime import datetime, timedelta
from unittest.mock import patch
from dateutil.relativedelta import relativedelta
from jinja2 import Undefined, Markup
from mock import Mock
from app.jinja_filters import (
format_date, format_conditional_date, format_curre... | 38.005208 | 143 | 0.615952 | 4,321 | 36,485 | 4.926637 | 0.093265 | 0.11274 | 0.123309 | 0.052847 | 0.757187 | 0.680994 | 0.60668 | 0.528091 | 0.441798 | 0.405909 | 0 | 0.046522 | 0.25531 | 36,485 | 959 | 144 | 38.044838 | 0.736732 | 0.04495 | 0 | 0.324324 | 0 | 0.001689 | 0.176201 | 0.030794 | 0 | 0 | 0 | 0 | 0.302365 | 1 | 0.14527 | false | 0.006757 | 0.013514 | 0 | 0.160473 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe90eb5d4db9dcb42eabad6cf0007baab0fc7833 | 18,598 | py | Python | levels/sombie.py | superhasduper/PythonGames | 64995d3e0b619006a2cf80d0da3c0fdf97db6fd9 | [
"MIT"
] | 1 | 2019-07-07T19:55:39.000Z | 2019-07-07T19:55:39.000Z | levels/sombie.py | superhasduper/PythonGames | 64995d3e0b619006a2cf80d0da3c0fdf97db6fd9 | [
"MIT"
] | null | null | null | levels/sombie.py | superhasduper/PythonGames | 64995d3e0b619006a2cf80d0da3c0fdf97db6fd9 | [
"MIT"
] | null | null | null | import arcade
import os
SPRITE_SCALING = 0.5
SPRITE_NATIVE_SIZE = 128
SPRITE_SIZE = int(SPRITE_NATIVE_SIZE * SPRITE_SCALING)
SCREEN_WIDTH = SPRITE_SIZE * 14
SCREEN_HEIGHT = SPRITE_SIZE * 10
MOVEMENT_SPEED = 5
COIN_SCALE = 0.7
class Room:
"""
This class holds all the information about the
... | 36.324219 | 124 | 0.614367 | 2,439 | 18,598 | 4.481755 | 0.113161 | 0.090568 | 0.051596 | 0.075016 | 0.710457 | 0.682737 | 0.658311 | 0.613942 | 0.605709 | 0.586955 | 0 | 0.016981 | 0.29073 | 18,598 | 512 | 125 | 36.324219 | 0.81169 | 0.105495 | 0 | 0.604046 | 0 | 0 | 0.049861 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.028902 | false | 0 | 0.00578 | 0 | 0.046243 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe916e74f3d8c5dd73c18e07f1aa14f15ee3d8d0 | 4,869 | py | Python | venv/lib/python3.6/site-packages/gevent/testing/openfiles.py | Guillaume-Fernandez/phishfinder | b459a30202fd5dfb1340b43c70363705de7cedd9 | [
"MIT"
] | 10 | 2021-03-23T03:46:19.000Z | 2022-03-08T07:20:25.000Z | venv/lib/python3.6/site-packages/gevent/testing/openfiles.py | Guillaume-Fernandez/phishfinder | b459a30202fd5dfb1340b43c70363705de7cedd9 | [
"MIT"
] | 7 | 2021-05-21T16:51:48.000Z | 2022-03-12T00:50:26.000Z | venv/lib/python3.6/site-packages/gevent/testing/openfiles.py | Guillaume-Fernandez/phishfinder | b459a30202fd5dfb1340b43c70363705de7cedd9 | [
"MIT"
] | 4 | 2021-04-21T00:49:34.000Z | 2021-11-21T09:18:29.000Z | # Copyright (c) 2018 gevent community
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, di... | 38.642857 | 139 | 0.657835 | 683 | 4,869 | 4.606149 | 0.401171 | 0.03719 | 0.030515 | 0.022886 | 0.035601 | 0.019708 | 0.019708 | 0 | 0 | 0 | 0 | 0.007448 | 0.255494 | 4,869 | 125 | 140 | 38.952 | 0.860414 | 0.439721 | 0 | 0.211268 | 0 | 0.014085 | 0.09191 | 0.01823 | 0 | 0 | 0 | 0 | 0.042254 | 1 | 0.084507 | false | 0 | 0.112676 | 0 | 0.309859 | 0.014085 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe97b6953c22bb335b56638721adf4a720e34f5f | 2,922 | py | Python | FAUCovidCrawler/AWSLambda/lambda_function.py | Awannaphasch2016/CDKFAUCovid19Cralwer | a84d90612314cb4d4618da95238617a524b1b280 | [
"MIT"
] | null | null | null | FAUCovidCrawler/AWSLambda/lambda_function.py | Awannaphasch2016/CDKFAUCovid19Cralwer | a84d90612314cb4d4618da95238617a524b1b280 | [
"MIT"
] | null | null | null | FAUCovidCrawler/AWSLambda/lambda_function.py | Awannaphasch2016/CDKFAUCovid19Cralwer | a84d90612314cb4d4618da95238617a524b1b280 | [
"MIT"
] | null | null | null | '''
Original code contributor: mentzera
Article link: https://aws.amazon.com/blogs/big-data/building-a-near-real-time-discovery-platform-with-aws/
'''
import boto3
import json
import twitter_to_es
# from Examples.Demo.AWS_Related.TwitterStreamWithAWS.LambdaWithS3Trigger import \
# twitter_to_es
from tweet_utils i... | 33.204545 | 142 | 0.589322 | 352 | 2,922 | 4.798295 | 0.454545 | 0.017762 | 0.038484 | 0.02013 | 0.089994 | 0.040261 | 0.040261 | 0.040261 | 0 | 0 | 0 | 0.014728 | 0.302875 | 2,922 | 87 | 143 | 33.586207 | 0.814433 | 0.380561 | 0 | 0.195122 | 0 | 0.02439 | 0.166854 | 0.020787 | 0 | 0 | 0 | 0 | 0 | 1 | 0.02439 | false | 0 | 0.097561 | 0 | 0.121951 | 0.170732 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe9913a9a0d00104117bbc4e7f42cf9196b11854 | 8,791 | py | Python | finetune/finetune.py | zaixizhang/MGSSL | fdb7e78bb927d735ed64dc78fb792adb13352e1c | [
"Apache-2.0"
] | 43 | 2021-10-15T01:11:36.000Z | 2022-03-31T02:05:41.000Z | finetune/finetune.py | zaixizhang/MGSSL | fdb7e78bb927d735ed64dc78fb792adb13352e1c | [
"Apache-2.0"
] | 5 | 2021-12-09T08:07:22.000Z | 2022-03-02T07:34:34.000Z | finetune/finetune.py | zaixizhang/MGSSL | fdb7e78bb927d735ed64dc78fb792adb13352e1c | [
"Apache-2.0"
] | 7 | 2021-11-23T01:15:36.000Z | 2022-03-07T16:30:30.000Z | import argparse
from loader import MoleculeDataset
from torch_geometric.data import DataLoader
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from tqdm import tqdm
import numpy as np
from model import GNN, GNN_graphpred
from sklearn.metrics import roc_auc_score
from ... | 42.674757 | 176 | 0.657604 | 1,214 | 8,791 | 4.594728 | 0.21911 | 0.03227 | 0.060954 | 0.013625 | 0.280925 | 0.219433 | 0.189315 | 0.148082 | 0.148082 | 0.148082 | 0 | 0.015582 | 0.21158 | 8,791 | 205 | 177 | 42.882927 | 0.789208 | 0.033216 | 0 | 0.090909 | 0 | 0 | 0.179783 | 0.01131 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019481 | false | 0.006494 | 0.103896 | 0 | 0.12987 | 0.077922 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe99a748e2fcbf259f6611afd0ca5930032c99b6 | 5,703 | py | Python | neurokit2/signal/signal_plot.py | gutierrezps/NeuroKit | a30f76e64b4108abdc652a20391dc0288c62501d | [
"MIT"
] | 1 | 2022-03-20T21:09:34.000Z | 2022-03-20T21:09:34.000Z | neurokit2/signal/signal_plot.py | Lei-I-Zhang/NeuroKit | a30f76e64b4108abdc652a20391dc0288c62501d | [
"MIT"
] | null | null | null | neurokit2/signal/signal_plot.py | Lei-I-Zhang/NeuroKit | a30f76e64b4108abdc652a20391dc0288c62501d | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from ..events import events_plot
from ..stats import standardize as nk_standardize
def signal_plot(
signal, sampling_rate=None, subplots=False, standardize=False, labels=None, **kwargs
):
"""Plot signal with events... | 33.946429 | 109 | 0.57198 | 681 | 5,703 | 4.707783 | 0.270191 | 0.063631 | 0.03587 | 0.014972 | 0.122271 | 0.092327 | 0.092327 | 0.064255 | 0.026825 | 0.026825 | 0 | 0.022606 | 0.309662 | 5,703 | 167 | 110 | 34.149701 | 0.79172 | 0.307733 | 0 | 0.123711 | 0 | 0 | 0.054445 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.010309 | false | 0 | 0.051546 | 0 | 0.061856 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe9d9591df2f2c4858eb64ae4def8e712c9e40a0 | 1,183 | py | Python | migrations/versions/1a89721126f7_only_one_validation_per_mission_user_.py | MTES-MCT/mobilic-api | b3754de2282262fd60a27dc90e40777df9c1e230 | [
"MIT"
] | null | null | null | migrations/versions/1a89721126f7_only_one_validation_per_mission_user_.py | MTES-MCT/mobilic-api | b3754de2282262fd60a27dc90e40777df9c1e230 | [
"MIT"
] | 8 | 2021-04-19T17:47:55.000Z | 2022-02-16T17:40:18.000Z | migrations/versions/1a89721126f7_only_one_validation_per_mission_user_.py | MTES-MCT/mobilic-api | b3754de2282262fd60a27dc90e40777df9c1e230 | [
"MIT"
] | null | null | null | """Only one validation per mission, user and actor
Revision ID: 1a89721126f7
Revises: fa96dfc8237d
Create Date: 2021-10-14 11:22:01.124488
"""
from alembic import op
import sqlalchemy as sa
# revision identifiers, used by Alembic.
revision = "1a89721126f7"
down_revision = "fa96dfc8237d"
branch_labels = None
depends... | 23.66 | 117 | 0.633136 | 138 | 1,183 | 5.195652 | 0.492754 | 0.09484 | 0.07113 | 0.083682 | 0.147838 | 0.147838 | 0.147838 | 0.147838 | 0.147838 | 0 | 0 | 0.063855 | 0.298394 | 1,183 | 49 | 118 | 24.142857 | 0.8 | 0.148774 | 0 | 0.125 | 0 | 0 | 0.250681 | 0.13624 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0.125 | 0 | 0.25 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe9dfa2f69a678e6192380ed28bf692cc55ff822 | 1,979 | py | Python | packages/facilities/rtdb/python/rtdb2_get.py | Falcons-Robocup/code | 2281a8569e7f11cbd3238b7cc7341c09e2e16249 | [
"Apache-2.0"
] | 2 | 2021-01-15T13:27:19.000Z | 2021-08-04T08:40:52.000Z | packages/facilities/rtdb/python/rtdb2_get.py | Falcons-Robocup/code | 2281a8569e7f11cbd3238b7cc7341c09e2e16249 | [
"Apache-2.0"
] | null | null | null | packages/facilities/rtdb/python/rtdb2_get.py | Falcons-Robocup/code | 2281a8569e7f11cbd3238b7cc7341c09e2e16249 | [
"Apache-2.0"
] | 5 | 2018-05-01T10:39:31.000Z | 2022-03-25T03:02:35.000Z | # Copyright 2020 Jan Feitsma (Falcons)
# SPDX-License-Identifier: Apache-2.0
#!/usr/bin/python
import os
import sys
import argparse
from rtdb2 import RtDB2Store, RTDB2_DEFAULT_PATH
import rtdb2tools
from hexdump import hexdump
# Main structure of the program
if __name__ == "__main__":
# Argument parsing.
des... | 42.106383 | 186 | 0.723598 | 255 | 1,979 | 5.513725 | 0.513725 | 0.032006 | 0.060455 | 0.024182 | 0.025605 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161443 | 0.145528 | 1,979 | 46 | 187 | 43.021739 | 0.670018 | 0.098535 | 0 | 0 | 0 | 0.0625 | 0.443131 | 0.087838 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.1875 | 0 | 0.1875 | 0.0625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe9ed7b6294e532592cc4dcafea632566b56df4d | 2,219 | py | Python | algorithms/A3C/atari/atari_env_deprecated.py | what3versin/reinforce_py | 46769da50aea65346cd3a300b55306d25f1f2683 | [
"MIT"
] | 1 | 2018-11-09T02:56:27.000Z | 2018-11-09T02:56:27.000Z | algorithms/A3C/atari/atari_env_deprecated.py | syd951186545/reinforce_py | 46769da50aea65346cd3a300b55306d25f1f2683 | [
"MIT"
] | null | null | null | algorithms/A3C/atari/atari_env_deprecated.py | syd951186545/reinforce_py | 46769da50aea65346cd3a300b55306d25f1f2683 | [
"MIT"
] | null | null | null | from __future__ import print_function
from __future__ import division
import os
import gym
import numpy as np
from skimage.transform import resize
from skimage.color import rgb2gray
class Atari(object):
s_dim = [84, 84, 1]
a_dim = 3
def __init__(self, args, record_video=False):
self.env = gym.m... | 32.632353 | 80 | 0.581794 | 297 | 2,219 | 4.175084 | 0.360269 | 0.050806 | 0.033871 | 0.022581 | 0.079032 | 0.051613 | 0.051613 | 0.051613 | 0 | 0 | 0 | 0.019041 | 0.313655 | 2,219 | 67 | 81 | 33.119403 | 0.795141 | 0.054529 | 0 | 0.037037 | 0 | 0 | 0.013397 | 0.010526 | 0 | 0 | 0 | 0 | 0 | 1 | 0.074074 | false | 0 | 0.12963 | 0.018519 | 0.314815 | 0.018519 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe9f7091809e30b40cd88cb5967081a6b1484eed | 5,935 | py | Python | content/_build/jupyter_execute/macm.py | NBCLab/nimare-paper | 2b9e70febcfde4ca12420adc3c2910ff622252f2 | [
"MIT"
] | 3 | 2020-10-20T10:24:04.000Z | 2021-12-20T13:31:01.000Z | content/_build/jupyter_execute/macm.py | NBCLab/nimare-paper | 2b9e70febcfde4ca12420adc3c2910ff622252f2 | [
"MIT"
] | 20 | 2021-03-07T17:18:48.000Z | 2022-03-09T15:13:02.000Z | content/_build/jupyter_execute/macm.py | NBCLab/nimare-paper | 2b9e70febcfde4ca12420adc3c2910ff622252f2 | [
"MIT"
] | 3 | 2020-05-05T14:42:18.000Z | 2021-11-30T19:52:27.000Z | #!/usr/bin/env python
# coding: utf-8
# # Meta-Analytic Coactivation Modeling
# In[1]:
# First, import the necessary modules and functions
import os
from datetime import datetime
import matplotlib.pyplot as plt
from myst_nb import glue
from repo2data.repo2data import Repo2Data
import nimare
start = datetime.now(... | 36.411043 | 392 | 0.752148 | 895 | 5,935 | 4.860335 | 0.351955 | 0.01931 | 0.009195 | 0.009655 | 0.165517 | 0.142989 | 0.108966 | 0.076782 | 0.076782 | 0.01977 | 0 | 0.018387 | 0.147767 | 5,935 | 162 | 393 | 36.635802 | 0.841637 | 0.532435 | 0 | 0.178082 | 0 | 0 | 0.082142 | 0.020535 | 0 | 0 | 0 | 0.006173 | 0 | 1 | 0 | false | 0 | 0.123288 | 0 | 0.123288 | 0.013699 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fe9f96734192b94aa40844f25ed620f799a5da53 | 50,863 | py | Python | cisco-ios-xe/ydk/models/cisco_ios_xe/CISCO_IPSLA_ECHO_MIB.py | Maikor/ydk-py | b86c4a7c570ae3b2c5557d098420446df5de4929 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xe/ydk/models/cisco_ios_xe/CISCO_IPSLA_ECHO_MIB.py | Maikor/ydk-py | b86c4a7c570ae3b2c5557d098420446df5de4929 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | cisco-ios-xe/ydk/models/cisco_ios_xe/CISCO_IPSLA_ECHO_MIB.py | Maikor/ydk-py | b86c4a7c570ae3b2c5557d098420446df5de4929 | [
"ECL-2.0",
"Apache-2.0"
] | null | null | null | """ CISCO_IPSLA_ECHO_MIB
This MIB module defines the templates for IP SLA operations of
ICMP echo, UDP echo and TCP connect.
The ICMP echo operation measures end\-to\-end response time between
a Cisco router and any IP enabled device by computing the time
taken between sending an ICMP echo request message to the
d... | 55.527293 | 720 | 0.624855 | 4,459 | 50,863 | 7.037901 | 0.099574 | 0.014531 | 0.017399 | 0.021127 | 0.579186 | 0.565961 | 0.548818 | 0.540724 | 0.524313 | 0.490918 | 0 | 0.012314 | 0.292708 | 50,863 | 915 | 721 | 55.587978 | 0.860014 | 0.463579 | 0 | 0.312268 | 0 | 0 | 0.321841 | 0.284763 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055762 | false | 0 | 0.018587 | 0 | 0.122677 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fea2c153f85345b8df258b2faf5084ce932ff128 | 4,057 | py | Python | example/model-parallel/matrix_factorization/train.py | tkameyama/incubator-mxnet | 47b0bdd00e7c5e1c9a448809b02e68c0e4b72e96 | [
"Apache-2.0"
] | 1 | 2022-01-22T02:29:24.000Z | 2022-01-22T02:29:24.000Z | example/model-parallel/matrix_factorization/train.py | tkameyama/incubator-mxnet | 47b0bdd00e7c5e1c9a448809b02e68c0e4b72e96 | [
"Apache-2.0"
] | null | null | null | example/model-parallel/matrix_factorization/train.py | tkameyama/incubator-mxnet | 47b0bdd00e7c5e1c9a448809b02e68c0e4b72e96 | [
"Apache-2.0"
] | null | null | null | # Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... | 36.881818 | 98 | 0.682031 | 529 | 4,057 | 5.073724 | 0.402647 | 0.023472 | 0.031669 | 0.011923 | 0.07228 | 0.031297 | 0.031297 | 0.031297 | 0 | 0 | 0 | 0.018354 | 0.221099 | 4,057 | 109 | 99 | 37.220183 | 0.831013 | 0.278777 | 0 | 0 | 0 | 0 | 0.15528 | 0.007246 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.107692 | 0 | 0.107692 | 0.046154 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fea4ed769af71f922b55fc3fe0ad5f2f54ffbfef | 762 | py | Python | scripts/libfranka_gui_gripper_run.py | nbfigueroa/franka_interactive_controllers | 7befdd5fbaa3c7a83b931292fab39ab98754a60c | [
"MIT"
] | 6 | 2021-12-08T09:32:57.000Z | 2022-03-20T09:22:29.000Z | scripts/libfranka_gui_gripper_run.py | nbfigueroa/franka_interactive_controllers | 7befdd5fbaa3c7a83b931292fab39ab98754a60c | [
"MIT"
] | null | null | null | scripts/libfranka_gui_gripper_run.py | nbfigueroa/franka_interactive_controllers | 7befdd5fbaa3c7a83b931292fab39ab98754a60c | [
"MIT"
] | 3 | 2022-02-01T12:30:47.000Z | 2022-03-24T10:31:04.000Z | #!/usr/bin/env python3
import shlex
from tkinter import *
from tkinter import messagebox
from psutil import Popen
top = Tk()
top.title("Franka Gripper Control")
top.geometry("300x75")
def open():
node_process = Popen(shlex.split('rosrun franka_interactive_controllers libfranka_gripper_run 1'))
messagebox.showinfo... | 25.4 | 99 | 0.745407 | 105 | 762 | 5.295238 | 0.457143 | 0.079137 | 0.061151 | 0.07554 | 0.284173 | 0.284173 | 0.284173 | 0.284173 | 0.284173 | 0.284173 | 0 | 0.031627 | 0.128609 | 762 | 29 | 100 | 26.275862 | 0.805723 | 0.027559 | 0 | 0.1 | 0 | 0 | 0.308108 | 0.137838 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.2 | 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 |
fea64ce26f29e53484b8013f735f948fef203460 | 12,293 | py | Python | client/client_build.py | patriotemeritus/grr | bf2b9268c8b9033ab091e27584986690438bd7c3 | [
"Apache-2.0"
] | 1 | 2015-06-24T09:07:20.000Z | 2015-06-24T09:07:20.000Z | client/client_build.py | patriotemeritus/grr | bf2b9268c8b9033ab091e27584986690438bd7c3 | [
"Apache-2.0"
] | 3 | 2020-02-11T22:29:15.000Z | 2021-06-10T17:44:31.000Z | client/client_build.py | wandec/grr | 7fb7e6d492d1325a5fe1559d3aeae03a301c4baa | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
"""This tool builds or repacks the client binaries.
This handles invocations for the build across the supported platforms including
handling Visual Studio, pyinstaller and other packaging mechanisms.
"""
import logging
import os
import platform
import time
# pylint: disable=unused-import
from ... | 35.631884 | 80 | 0.663467 | 1,396 | 12,293 | 5.732092 | 0.217765 | 0.023619 | 0.035616 | 0.022494 | 0.366783 | 0.307048 | 0.291927 | 0.267933 | 0.242939 | 0.215196 | 0 | 0.004875 | 0.232409 | 12,293 | 344 | 81 | 35.735465 | 0.843154 | 0.130318 | 0 | 0.300429 | 0 | 0 | 0.237352 | 0.021441 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021459 | false | 0 | 0.04721 | 0 | 0.085837 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
fea677c9a939d2a74e86aae5f8b7734e53289cfd | 1,549 | py | Python | Greyatom-projects/code.py | naveena41/greyatom-python-for-data-science | 3aa63878ff12e0e8cdf0e63bafe9b4a2c082f7b1 | [
"MIT"
] | null | null | null | Greyatom-projects/code.py | naveena41/greyatom-python-for-data-science | 3aa63878ff12e0e8cdf0e63bafe9b4a2c082f7b1 | [
"MIT"
] | null | null | null | Greyatom-projects/code.py | naveena41/greyatom-python-for-data-science | 3aa63878ff12e0e8cdf0e63bafe9b4a2c082f7b1 | [
"MIT"
] | null | null | null | # --------------
# Code starts here
# Create the lists
class_1 = ['geoffrey hinton', 'andrew ng', 'sebastian raschka', 'yoshu bengio']
class_2 = ['hilary mason', 'carla gentry', 'corinna cortes']
# Concatenate both the strings
new_class = class_1+class_2
print(new_class)
# Append the list
new_class.append('p... | 24.983871 | 163 | 0.701097 | 219 | 1,549 | 4.858447 | 0.415525 | 0.045113 | 0.036654 | 0.028195 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.034728 | 0.182053 | 1,549 | 61 | 164 | 25.393443 | 0.805051 | 0.369916 | 0 | 0.130435 | 0 | 0 | 0.276286 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.391304 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |