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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
9068dd91546f900a5c60936212742aac5fb95fd0 | 577 | py | Python | Python/Advanced/Tuples And Sets/Lab/SoftUni Party.py | EduardV777/Softuni-Python-Exercises | 79db667028aea7dfecb3dbbd834c752180c50f44 | [
"Unlicense"
] | null | null | null | Python/Advanced/Tuples And Sets/Lab/SoftUni Party.py | EduardV777/Softuni-Python-Exercises | 79db667028aea7dfecb3dbbd834c752180c50f44 | [
"Unlicense"
] | null | null | null | Python/Advanced/Tuples And Sets/Lab/SoftUni Party.py | EduardV777/Softuni-Python-Exercises | 79db667028aea7dfecb3dbbd834c752180c50f44 | [
"Unlicense"
] | null | null | null | guests=int(input())
reservations=set([])
while guests!=0:
reservationCode=input()
reservations.add(reservationCode)
guests-=1
while True:
r=input()
if r!="END":
reservations.discard(r)
else:
print(len(reservations))
VIPS=[]; Regulars=[]
for e in reservations:
... | 22.192308 | 37 | 0.514731 | 63 | 577 | 4.714286 | 0.444444 | 0.114478 | 0.040404 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00813 | 0.360485 | 577 | 26 | 38 | 22.192308 | 0.796748 | 0 | 0 | 0.166667 | 0 | 0 | 0.00519 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9068dfa377a4e3878aa69220570645e9c12f27ec | 404 | py | Python | locale/pot/api/plotting/_autosummary/pyvista-Plotter-remove_all_lights-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 4 | 2020-08-07T08:19:19.000Z | 2020-12-04T09:51:11.000Z | locale/pot/api/plotting/_autosummary/pyvista-Plotter-remove_all_lights-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 19 | 2020-08-06T00:24:30.000Z | 2022-03-30T19:22:24.000Z | locale/pot/api/plotting/_autosummary/pyvista-Plotter-remove_all_lights-1.py | tkoyama010/pyvista-doc-translations | 23bb813387b7f8bfe17e86c2244d5dd2243990db | [
"MIT"
] | 1 | 2021-03-09T07:50:40.000Z | 2021-03-09T07:50:40.000Z | # Create a plotter and remove all lights after initialization.
# Note how the mesh rendered is completely flat
#
import pyvista as pv
plotter = pv.Plotter()
plotter.remove_all_lights()
plotter.renderer.lights
# Expected:
## []
_ = plotter.add_mesh(pv.Sphere(), show_edges=True)
plotter.show()
#
# Note how this differs f... | 25.25 | 62 | 0.762376 | 60 | 404 | 5.033333 | 0.583333 | 0.059603 | 0.099338 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.131188 | 404 | 15 | 63 | 26.933333 | 0.860399 | 0.433168 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.142857 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
906c0d695c5d23512c396e22821fa9b115229101 | 880 | py | Python | einsum.py | odiak/einsum | c7c71f8daefcf33b4743cc8dca588577d03bdde6 | [
"MIT"
] | null | null | null | einsum.py | odiak/einsum | c7c71f8daefcf33b4743cc8dca588577d03bdde6 | [
"MIT"
] | null | null | null | einsum.py | odiak/einsum | c7c71f8daefcf33b4743cc8dca588577d03bdde6 | [
"MIT"
] | null | null | null | from typing import Dict, Tuple
import numpy as np
def einsum(expr: str, *args: Tuple[np.ndarray, ...], **kwargs) -> np.ndarray:
(a, b) = map(str.strip, expr.split("->"))
a_ = list(
map(lambda s: list(map(str.strip, s.split(","))), map(str.strip, a.split(";")))
)
b_ = list(map(str.strip, b.spli... | 29.333333 | 87 | 0.494318 | 126 | 880 | 3.333333 | 0.301587 | 0.116667 | 0.104762 | 0.071429 | 0.252381 | 0.252381 | 0.252381 | 0.147619 | 0.147619 | 0.147619 | 0 | 0.005042 | 0.323864 | 880 | 29 | 88 | 30.344828 | 0.70084 | 0 | 0 | 0.222222 | 0 | 0 | 0.038636 | 0.029545 | 0 | 0 | 0 | 0 | 0 | 1 | 0.037037 | false | 0 | 0.074074 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
906c820368e4e2bf91a72f86c8e3c46b23314109 | 4,201 | py | Python | aarhus/get_roots.py | mikedelong/aarhus | 0c0e94fadd65be8428fe3bd2c92928e1b23fc2a1 | [
"Apache-2.0"
] | null | null | null | aarhus/get_roots.py | mikedelong/aarhus | 0c0e94fadd65be8428fe3bd2c92928e1b23fc2a1 | [
"Apache-2.0"
] | 7 | 2017-01-13T19:04:57.000Z | 2017-01-23T14:10:53.000Z | aarhus/get_roots.py | mikedelong/aarhus | 0c0e94fadd65be8428fe3bd2c92928e1b23fc2a1 | [
"Apache-2.0"
] | null | null | null | import json
import logging
import os
import pickle
import sys
import time
import pyzmail
# http://mypy.pythonblogs.com/12_mypy/archive/1253_workaround_for_python_bug_ascii_codec_cant_encode_character_uxa0_in_position_111_ordinal_not_in_range128.html
reload(sys)
sys.setdefaultencoding("utf8")
logging.basicConfig(form... | 40.394231 | 160 | 0.650321 | 533 | 4,201 | 4.851782 | 0.270169 | 0.052204 | 0.018948 | 0.029389 | 0.08778 | 0.08778 | 0.08778 | 0.064579 | 0.064579 | 0.064579 | 0 | 0.01327 | 0.246608 | 4,201 | 103 | 161 | 40.786408 | 0.803791 | 0.079029 | 0 | 0.04878 | 0 | 0 | 0.130986 | 0.005695 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036585 | false | 0 | 0.085366 | 0 | 0.146341 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
906df45a0cbaf0b269d84eb1b51d8ce436ca4a79 | 4,621 | py | Python | linear_regression.py | wail007/ml_playground | 5a8cd1fc57d3ba32a255e665fc3480f58eb9c3c2 | [
"Apache-2.0"
] | null | null | null | linear_regression.py | wail007/ml_playground | 5a8cd1fc57d3ba32a255e665fc3480f58eb9c3c2 | [
"Apache-2.0"
] | null | null | null | linear_regression.py | wail007/ml_playground | 5a8cd1fc57d3ba32a255e665fc3480f58eb9c3c2 | [
"Apache-2.0"
] | null | null | null | import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import multivariate_normal
class _LinearModel(object):
def __init__(self):
self.w = None
def fit(self, x, y):
pass
def predict(self, x):
return np.dot(x, self.w)
def cost(self, x... | 29.062893 | 119 | 0.554425 | 664 | 4,621 | 3.683735 | 0.176205 | 0.026574 | 0.022077 | 0.041701 | 0.310711 | 0.243254 | 0.193377 | 0.132052 | 0.119379 | 0.098937 | 0 | 0.015303 | 0.307076 | 4,621 | 158 | 120 | 29.246835 | 0.748595 | 0.017096 | 0 | 0.277778 | 0 | 0 | 0.001985 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.175926 | false | 0.018519 | 0.037037 | 0.027778 | 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 |
906f41f56725ceef73c59638d0fd312fa10a88f9 | 6,689 | py | Python | vmtkScripts/vmtkmeshboundaryinspector.py | ramtingh/vmtk | 4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3 | [
"Apache-2.0"
] | null | null | null | vmtkScripts/vmtkmeshboundaryinspector.py | ramtingh/vmtk | 4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3 | [
"Apache-2.0"
] | null | null | null | vmtkScripts/vmtkmeshboundaryinspector.py | ramtingh/vmtk | 4d6f58ce65d73628353ba2b110cbc29a2e7aa7b3 | [
"Apache-2.0"
] | 1 | 2019-06-18T23:41:11.000Z | 2019-06-18T23:41:11.000Z | #!/usr/bin/env python
## Program: VMTK
## Module: $RCSfile: vmtkmeshboundaryinspector.py,v $
## Language: Python
## Date: $Date: 2006/05/26 12:35:13 $
## Version: $Revision: 1.3 $
## Copyright (c) Luca Antiga, David Steinman. All rights reserved.
## See LICENSE file for details.
## This softwar... | 39.579882 | 132 | 0.697264 | 550 | 6,689 | 8.441818 | 0.390909 | 0.047383 | 0.027568 | 0.016153 | 0.044799 | 0.033599 | 0.033599 | 0 | 0 | 0 | 0 | 0.01147 | 0.204963 | 6,689 | 168 | 133 | 39.815476 | 0.861602 | 0.081029 | 0 | 0.017391 | 0 | 0 | 0.104163 | 0.011429 | 0 | 0 | 0 | 0 | 0 | 1 | 0.017391 | false | 0 | 0.052174 | 0 | 0.095652 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
906fc90146a02fc91c29a4ca6a8d89955a76d227 | 1,542 | py | Python | setup.py | sriz1/mudslide | 78aa8a1bda4080eacd777da7ff6bcbfd9afe129c | [
"MIT"
] | 4 | 2020-09-05T00:17:27.000Z | 2022-01-25T19:44:32.000Z | setup.py | sriz1/mudslide | 78aa8a1bda4080eacd777da7ff6bcbfd9afe129c | [
"MIT"
] | null | null | null | setup.py | sriz1/mudslide | 78aa8a1bda4080eacd777da7ff6bcbfd9afe129c | [
"MIT"
] | 6 | 2020-11-20T15:42:03.000Z | 2022-02-10T02:43:29.000Z | from setuptools import setup
from distutils.util import convert_path
main_ns = {}
ver_path = convert_path('mudslide/version.py')
with open(ver_path) as ver_file:
exec(ver_file.read(), main_ns)
def readme():
with open("README.md") as f:
return f.read()
setup(
name='mudslide',
packages=['mudsli... | 30.84 | 95 | 0.624514 | 165 | 1,542 | 5.684848 | 0.612121 | 0.01919 | 0.079957 | 0.083156 | 0.070362 | 0.070362 | 0 | 0 | 0 | 0 | 0 | 0.010144 | 0.232815 | 1,542 | 49 | 96 | 31.469388 | 0.782756 | 0 | 0 | 0 | 0 | 0 | 0.500324 | 0.070084 | 0 | 0 | 0 | 0 | 0 | 1 | 0.022222 | false | 0 | 0.044444 | 0 | 0.088889 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
906fe64b74d7a1e64be5829e3ead36fd43b1f23d | 1,361 | py | Python | src/sklearn/sklearn_random_forest_test.py | monkeychen/python-tutorial | a24785da6b4d857200b819ad4d960885b1ef7a20 | [
"Apache-2.0"
] | null | null | null | src/sklearn/sklearn_random_forest_test.py | monkeychen/python-tutorial | a24785da6b4d857200b819ad4d960885b1ef7a20 | [
"Apache-2.0"
] | null | null | null | src/sklearn/sklearn_random_forest_test.py | monkeychen/python-tutorial | a24785da6b4d857200b819ad4d960885b1ef7a20 | [
"Apache-2.0"
] | null | null | null | import csv
import joblib
from sklearn.metrics import accuracy_score
data = []
features = []
targets = []
feature_names = []
users = []
with open('satisfaction_feature_names.csv') as name_file:
column_name_file = csv.reader(name_file)
feature_names = next(column_name_file)[2:394]
with open('cza_satisfaction_tr... | 27.22 | 68 | 0.648788 | 187 | 1,361 | 4.540107 | 0.358289 | 0.076561 | 0.03298 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041985 | 0.229978 | 1,361 | 49 | 69 | 27.77551 | 0.76813 | 0 | 0 | 0.047619 | 0 | 0 | 0.072165 | 0.060383 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.071429 | 0 | 0.071429 | 0.119048 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9070ee6ae571936274c18044e8321cc9866dd425 | 2,836 | py | Python | tests/utils/_process_nonwin.py | chrahunt/quicken | 2dd00a5f024d7b114b211aad8a2618ec8f101956 | [
"MIT"
] | 3 | 2019-11-12T17:56:08.000Z | 2022-03-12T03:43:10.000Z | tests/utils/_process_nonwin.py | chrahunt/quicken | 2dd00a5f024d7b114b211aad8a2618ec8f101956 | [
"MIT"
] | 47 | 2018-12-10T04:08:58.000Z | 2022-03-20T14:54:36.000Z | tests/utils/_process_nonwin.py | chrahunt/quicken | 2dd00a5f024d7b114b211aad8a2618ec8f101956 | [
"MIT"
] | 1 | 2019-11-12T17:55:17.000Z | 2019-11-12T17:55:17.000Z | """Utilities for managing child processes within a scope - this ensures
tests run cleanly even on failure and also gives us a mechanism to
get debug info for our children.
"""
import logging
import os
import sys
from contextlib import contextmanager
from typing import ContextManager, List
import psutil
import process... | 26.504673 | 80 | 0.665374 | 354 | 2,836 | 5.186441 | 0.437853 | 0.043573 | 0.022876 | 0.020697 | 0.025054 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000948 | 0.256347 | 2,836 | 106 | 81 | 26.754717 | 0.869606 | 0.323695 | 0 | 0.087719 | 0 | 0 | 0.075832 | 0.012002 | 0 | 0 | 0 | 0.009434 | 0.052632 | 1 | 0.087719 | false | 0.017544 | 0.122807 | 0 | 0.280702 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9071096add8b5a4db338073c96e92750aa128c1f | 2,516 | py | Python | data/meneame/parse_meneame.py | segurac/DeepQA | b7f95e6e14ba9469f17a2a43df87f2a69e431eeb | [
"Apache-2.0"
] | null | null | null | data/meneame/parse_meneame.py | segurac/DeepQA | b7f95e6e14ba9469f17a2a43df87f2a69e431eeb | [
"Apache-2.0"
] | null | null | null | data/meneame/parse_meneame.py | segurac/DeepQA | b7f95e6e14ba9469f17a2a43df87f2a69e431eeb | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
#
# Copyright 2016 Carlos Segura. 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/LI... | 27.955556 | 79 | 0.534181 | 270 | 2,516 | 4.888889 | 0.411111 | 0.090909 | 0.048485 | 0.066667 | 0.081818 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0.010817 | 0.338633 | 2,516 | 89 | 80 | 28.269663 | 0.782452 | 0.296105 | 0 | 0.230769 | 0 | 0 | 0.047945 | 0.025114 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.057692 | 0 | 0.134615 | 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 |
90740254e2ea619dbf9f847e862986ac065aaf0a | 4,087 | py | Python | dfstools/tests/test_relationship_tools.py | orekunrin/comp410_summer2020 | ab69d578a981ad0262f76baeccb5d16e8d2e182a | [
"Apache-2.0"
] | null | null | null | dfstools/tests/test_relationship_tools.py | orekunrin/comp410_summer2020 | ab69d578a981ad0262f76baeccb5d16e8d2e182a | [
"Apache-2.0"
] | null | null | null | dfstools/tests/test_relationship_tools.py | orekunrin/comp410_summer2020 | ab69d578a981ad0262f76baeccb5d16e8d2e182a | [
"Apache-2.0"
] | null | null | null | import unittest
import pandas as pd
import git
import os
from dfstools import get_dataset_dtypes
from dfstools import find_related_cols_by_name
from dfstools import find_related_cols_by_content
from dfstools import find_parent_child_relationships
from dfstools import pecan_cookies_load_data
class RelationshipTools(un... | 49.841463 | 111 | 0.477857 | 330 | 4,087 | 5.651515 | 0.230303 | 0.038606 | 0.028954 | 0.057909 | 0.3437 | 0.220912 | 0.119571 | 0 | 0 | 0 | 0 | 0 | 0.371911 | 4,087 | 81 | 112 | 50.45679 | 0.726529 | 0.065818 | 0 | 0.086207 | 0 | 0 | 0.250525 | 0 | 0 | 0 | 0 | 0 | 0.051724 | 1 | 0.034483 | false | 0 | 0.155172 | 0 | 0.206897 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9074ea5b2e3ca5610b7441955b3420b7ffce9518 | 1,446 | py | Python | analysis/src/util/_concepts.py | Domiii/code-dbgs | afe4d500273570e0b141ca0384cda3b52a191417 | [
"Apache-2.0"
] | 95 | 2020-01-20T08:51:20.000Z | 2022-03-31T23:27:28.000Z | analysis/src/util/_concepts.py | Domiii/code-dbgs | afe4d500273570e0b141ca0384cda3b52a191417 | [
"Apache-2.0"
] | 274 | 2020-07-11T11:10:10.000Z | 2022-03-31T14:03:39.000Z | analysis/src/util/_concepts.py | Domiii/code-dbgs | afe4d500273570e0b141ca0384cda3b52a191417 | [
"Apache-2.0"
] | 9 | 2020-07-15T07:04:20.000Z | 2022-03-27T17:11:58.000Z | # // ###########################################################################
# // Queries
# // ###########################################################################
# -> get a single cell of a df (use `iloc` with `row` + `col` as arguments)
df.iloc[0]['staticContextId']
# -> get one column as a list
allFunc... | 34.428571 | 106 | 0.540111 | 165 | 1,446 | 4.666667 | 0.557576 | 0.041558 | 0.036364 | 0.051948 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.017625 | 0.09751 | 1,446 | 42 | 107 | 34.428571 | 0.572414 | 0.361687 | 0 | 0 | 0 | 0 | 0.207921 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9076fc2a93a37415e1783c15ba456852ac6cdab0 | 4,549 | py | Python | src/onevision/data/augment/image_box_augment.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | 2 | 2022-03-28T09:46:38.000Z | 2022-03-28T14:12:32.000Z | src/onevision/data/augment/image_box_augment.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | src/onevision/data/augment/image_box_augment.py | phlong3105/onevision | 90552b64df7213e7fbe23c80ffd8a89583289433 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
"""
from __future__ import annotations
import numpy as np
import torch
from torch import Tensor
from onevision.data.augment.base import BaseAugment
from onevision.data.augment.utils import apply_transform_op
from onevision.data.data_class import ObjectAnnotation
fro... | 32.726619 | 94 | 0.473071 | 471 | 4,549 | 4.382166 | 0.29087 | 0.010659 | 0.010174 | 0.01938 | 0.236919 | 0.236434 | 0.236434 | 0.236434 | 0.236434 | 0.207364 | 0 | 0.028793 | 0.404485 | 4,549 | 138 | 95 | 32.963768 | 0.733112 | 0.10266 | 0 | 0.338028 | 0 | 0 | 0.102008 | 0.03379 | 0 | 0 | 0 | 0 | 0 | 1 | 0.056338 | false | 0.014085 | 0.112676 | 0.014085 | 0.225352 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9078e83afbdbc37dbf8bc13a26fcecb893de7fcb | 6,264 | py | Python | WarmUpSTE.py | jrolf/jse-api | 72cf6ce9f5fb54564872795f058cb06afe34ca75 | [
"MIT"
] | 1 | 2019-09-19T23:20:57.000Z | 2019-09-19T23:20:57.000Z | WarmUpSTE.py | jrolf/jse-api | 72cf6ce9f5fb54564872795f058cb06afe34ca75 | [
"MIT"
] | 1 | 2019-09-19T23:24:38.000Z | 2019-09-19T23:24:38.000Z | WarmUpSTE.py | jrolf/jse-api | 72cf6ce9f5fb54564872795f058cb06afe34ca75 | [
"MIT"
] | 1 | 2019-09-19T20:12:10.000Z | 2019-09-19T20:12:10.000Z |
import pandas as pd
import numpy as np
from copy import *
from bisect import *
from scipy.optimize import curve_fit
from sklearn.metrics import *
from collections import defaultdict as defd
import datetime,pickle
from DemandHelper import *
import warnings
warnings.filterwarnings("ignore")
####################... | 25.463415 | 81 | 0.543423 | 810 | 6,264 | 4.082716 | 0.251852 | 0.02661 | 0.0127 | 0.023586 | 0.169035 | 0.127306 | 0.127306 | 0.077412 | 0.077412 | 0.052616 | 0 | 0.039171 | 0.168582 | 6,264 | 245 | 82 | 25.567347 | 0.595814 | 0.114144 | 0 | 0 | 0 | 0 | 0.089864 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.078125 | false | 0 | 0.101563 | 0.007813 | 0.242188 | 0.015625 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
907a8e9bf17e1ccce65533dabf9db7c106ceba56 | 1,088 | py | Python | Section 3/cnn3.py | PacktPublishing/Python-Deep-Learning-for-Beginners- | 90f110158cbf0ce02fd4d5d09e3b2034428d9992 | [
"MIT"
] | 7 | 2019-02-16T02:52:12.000Z | 2021-11-08T13:10:46.000Z | Section 3/cnn3.py | PacktPublishing/Python-Deep-Learning-for-Beginners- | 90f110158cbf0ce02fd4d5d09e3b2034428d9992 | [
"MIT"
] | null | null | null | Section 3/cnn3.py | PacktPublishing/Python-Deep-Learning-for-Beginners- | 90f110158cbf0ce02fd4d5d09e3b2034428d9992 | [
"MIT"
] | 14 | 2018-11-18T04:33:38.000Z | 2021-08-14T03:29:18.000Z | import keras
from keras.datasets import mnist
from keras.models import Sequential
from keras.layers import Dense, Flatten
from keras.layers import Conv2D, MaxPooling2D
model = Sequential()
model.add(Conv2D(32, kernel_size=(3, 3),
activation='relu',
input_shape=(128, 128, 1)))
model.ad... | 31.085714 | 51 | 0.669118 | 152 | 1,088 | 4.690789 | 0.322368 | 0.134642 | 0.117812 | 0.134642 | 0.516129 | 0.440393 | 0.440393 | 0.440393 | 0.440393 | 0.367461 | 0 | 0.070718 | 0.168199 | 1,088 | 34 | 52 | 32 | 0.717127 | 0 | 0 | 0.428571 | 0 | 0 | 0.060662 | 0.022059 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.178571 | 0 | 0.178571 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
907cab399c56f59d773c9098dcb9ad23a5c47d44 | 3,482 | py | Python | plugins/General/wxRaven_WebBrowser.py | sLiinuX/wxRaven | a513a029fa1ff2059ee262c524b4b2b45111f1a6 | [
"MIT"
] | 11 | 2021-12-20T15:32:17.000Z | 2022-03-16T03:54:02.000Z | plugins/General/wxRaven_WebBrowser.py | sLiinuX/wxRaven | a513a029fa1ff2059ee262c524b4b2b45111f1a6 | [
"MIT"
] | 156 | 2021-12-31T21:01:31.000Z | 2022-03-20T21:57:31.000Z | plugins/General/wxRaven_WebBrowser.py | sLiinuX/wxRaven | a513a029fa1ff2059ee262c524b4b2b45111f1a6 | [
"MIT"
] | 3 | 2022-01-21T14:52:43.000Z | 2022-02-12T05:32:19.000Z | '''
Created on 22 févr. 2022
@author: slinux
'''
from .wxRavenGeneralDesign import wxRavenWebBrowser
from wxRavenGUI.application.wxcustom.CustomLoading import *
from wxRavenGUI.application.wxcustom import *
import wx.html2 as webview
import sys
import logging
from wxRavenGUI.application.wxcustom.CustomUserIO import ... | 30.017241 | 269 | 0.601091 | 361 | 3,482 | 5.66759 | 0.459834 | 0.017595 | 0.036657 | 0.048387 | 0.072336 | 0.072336 | 0.045943 | 0.045943 | 0 | 0 | 0 | 0.006284 | 0.314474 | 3,482 | 116 | 270 | 30.017241 | 0.850859 | 0.16054 | 0 | 0.047619 | 0 | 0 | 0.029657 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.095238 | false | 0.047619 | 0.166667 | 0 | 0.404762 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
907d53bdf5f863a5b666758a3f35cfee8a3a43e9 | 4,097 | py | Python | backend/pollr-eb2/lib/python3.5/site-packages/ebcli/operations/upgradeops.py | saarthak24/Pollr | 9fbdd19f48ed873899093c7d034ed4e0d017c19d | [
"MIT"
] | 2 | 2017-11-16T15:02:43.000Z | 2017-11-20T17:41:16.000Z | backend/pollr-eb2/lib/python3.5/site-packages/ebcli/operations/upgradeops.py | saarthak24/Pollr | 9fbdd19f48ed873899093c7d034ed4e0d017c19d | [
"MIT"
] | 10 | 2020-01-28T22:12:06.000Z | 2022-03-11T23:16:53.000Z | backend/pollr-eb2/lib/python3.5/site-packages/ebcli/operations/upgradeops.py | saarthak24/Pollr | 9fbdd19f48ed873899093c7d034ed4e0d017c19d | [
"MIT"
] | 2 | 2017-11-16T14:59:03.000Z | 2017-11-16T23:52:13.000Z | # Copyright 2017 Amazon.com, Inc. or its affiliates. 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. A copy of
# the License is located at
#
# http://aws.amazon.com/apache2.0/
#
# or in the "license" file accompa... | 35.626087 | 78 | 0.661948 | 460 | 4,097 | 5.7 | 0.3 | 0.048055 | 0.030511 | 0.022883 | 0.279176 | 0.279176 | 0.279176 | 0.221968 | 0.180778 | 0.10984 | 0 | 0.002628 | 0.257017 | 4,097 | 115 | 79 | 35.626087 | 0.858739 | 0.134977 | 0 | 0.218391 | 0 | 0 | 0.079298 | 0.030586 | 0 | 0 | 0 | 0 | 0 | 1 | 0.045977 | false | 0 | 0.068966 | 0 | 0.229885 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
907e1b4a54a9e37e87ee07e0eb6f6b12a199f562 | 2,719 | py | Python | src/perimeterator/enumerator/elb.py | vvondra/perimeterator | 6f750b5c8e6ff151472911bb45c6f11c0a6cd8ff | [
"MIT"
] | null | null | null | src/perimeterator/enumerator/elb.py | vvondra/perimeterator | 6f750b5c8e6ff151472911bb45c6f11c0a6cd8ff | [
"MIT"
] | null | null | null | src/perimeterator/enumerator/elb.py | vvondra/perimeterator | 6f750b5c8e6ff151472911bb45c6f11c0a6cd8ff | [
"MIT"
] | null | null | null | ''' Perimeterator - Enumerator for AWS ELBs (Public IPs). '''
import logging
import boto3
from perimeterator.helper import aws_elb_arn
from perimeterator.helper import dns_lookup
class Enumerator(object):
''' Perimeterator - Enumerator for AWS ELBs (Public IPs). '''
# Required for Boto and reporting.
SE... | 37.246575 | 77 | 0.543582 | 290 | 2,719 | 5.031034 | 0.434483 | 0.03427 | 0.030843 | 0.039753 | 0.113777 | 0.113777 | 0.057574 | 0 | 0 | 0 | 0 | 0.001179 | 0.376241 | 2,719 | 72 | 78 | 37.763889 | 0.85908 | 0.283928 | 0 | 0.088889 | 0 | 0 | 0.139353 | 0.012526 | 0 | 0 | 0 | 0 | 0 | 1 | 0.044444 | false | 0 | 0.088889 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
907f3c024ac75afd4ff1f45c65ec5e6e22c38567 | 1,685 | py | Python | binarycheck.py | pnordin/trimeol | 2f58db29df9b28f249c1b9fa851f04119158bbd5 | [
"MIT"
] | null | null | null | binarycheck.py | pnordin/trimeol | 2f58db29df9b28f249c1b9fa851f04119158bbd5 | [
"MIT"
] | null | null | null | binarycheck.py | pnordin/trimeol | 2f58db29df9b28f249c1b9fa851f04119158bbd5 | [
"MIT"
] | null | null | null | """Module to help guess whether a file is binary or text.
Requirements:
Python 2.7+
Recommended:
Python 3
"""
def is_binary_file(fname):
"""Attempt to guess if 'fname' is a binary file heuristically.
This algorithm has many flaws. Use with caution.
It assumes that if a part of the file has NUL b... | 25.923077 | 66 | 0.626113 | 245 | 1,685 | 4.265306 | 0.42449 | 0.038278 | 0.031579 | 0.02488 | 0.072727 | 0.072727 | 0.072727 | 0 | 0 | 0 | 0 | 0.02027 | 0.297329 | 1,685 | 64 | 67 | 26.328125 | 0.862331 | 0.508012 | 0 | 0.074074 | 0 | 0 | 0.015936 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 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 |
9080c3b939a2c1af97171c5d7d2b2932cf209fec | 8,329 | py | Python | spiketoolkit/validation/quality_metric_classes/snr.py | seankmartin/spiketoolkit | 38261d95045b1cd689363579c10ab3aa0a1ab7c0 | [
"MIT"
] | null | null | null | spiketoolkit/validation/quality_metric_classes/snr.py | seankmartin/spiketoolkit | 38261d95045b1cd689363579c10ab3aa0a1ab7c0 | [
"MIT"
] | null | null | null | spiketoolkit/validation/quality_metric_classes/snr.py | seankmartin/spiketoolkit | 38261d95045b1cd689363579c10ab3aa0a1ab7c0 | [
"MIT"
] | null | null | null | import numpy as np
import spikemetrics.metrics as metrics
from .utils.thresholdcurator import ThresholdCurator
from .quality_metric import QualityMetric
import spiketoolkit as st
from spikemetrics.utils import Epoch, printProgressBar
from collections import OrderedDict
from .parameter_dictionaries import get_recording_... | 46.792135 | 231 | 0.623724 | 993 | 8,329 | 4.902316 | 0.190332 | 0.024035 | 0.034511 | 0.026294 | 0.297658 | 0.226376 | 0.162079 | 0.149753 | 0.115242 | 0.115242 | 0 | 0.008608 | 0.274703 | 8,329 | 178 | 232 | 46.792135 | 0.797219 | 0.080922 | 0 | 0.146154 | 0 | 0.007692 | 0.159405 | 0.003587 | 0 | 0 | 0 | 0 | 0 | 1 | 0.046154 | false | 0 | 0.061538 | 0 | 0.192308 | 0.015385 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90825885fb1011eb6a66d72e387d9a860b8e8b3f | 19,132 | py | Python | stsynphot/tests/test_parser.py | tddesjardins/stsynphot_refactor | d7c6cdd006a2173fe0ee367a3a9f10f72acafe38 | [
"MIT",
"BSD-3-Clause"
] | 5 | 2017-07-18T20:02:34.000Z | 2022-03-10T06:46:22.000Z | stsynphot/tests/test_parser.py | tddesjardins/stsynphot_refactor | d7c6cdd006a2173fe0ee367a3a9f10f72acafe38 | [
"MIT",
"BSD-3-Clause"
] | 103 | 2016-05-26T03:40:24.000Z | 2021-12-29T23:03:13.000Z | stsynphot/tests/test_parser.py | tddesjardins/stsynphot_refactor | d7c6cdd006a2173fe0ee367a3a9f10f72acafe38 | [
"MIT",
"BSD-3-Clause"
] | 9 | 2016-12-14T12:56:18.000Z | 2021-09-11T22:50:01.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Test spparser.py module, which uses spark.py.
.. note::
Only testing to see if the parser makes the right kind of
objects. Quality of the data is tested in other modules.
"""
# STDLIB
import os
# THIRD-PARTY
import pytest
from astropy impor... | 33.447552 | 79 | 0.559011 | 2,210 | 19,132 | 4.679638 | 0.144344 | 0.066331 | 0.054148 | 0.036743 | 0.608393 | 0.535583 | 0.429898 | 0.393251 | 0.354477 | 0.335815 | 0 | 0.064 | 0.268242 | 19,132 | 571 | 80 | 33.50613 | 0.674714 | 0.03664 | 0 | 0.513978 | 0 | 0.030108 | 0.243018 | 0.050738 | 0 | 0 | 0 | 0 | 0.043011 | 1 | 0.068817 | false | 0 | 0.030108 | 0 | 0.105376 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9083f275a59b9bf245934e27e32ceb9469c2cb0d | 6,465 | py | Python | tests/pheweb/load/command_flags_test.py | stellakeppo/pheweb | 10ea317dbe9419fa77f99e6b735fa9a3290ccd5e | [
"MIT"
] | 4 | 2018-11-03T13:58:52.000Z | 2020-03-06T09:19:03.000Z | tests/pheweb/load/command_flags_test.py | stellakeppo/pheweb | 10ea317dbe9419fa77f99e6b735fa9a3290ccd5e | [
"MIT"
] | 92 | 2018-05-17T18:07:01.000Z | 2022-03-29T00:37:30.000Z | tests/pheweb/load/command_flags_test.py | stellakeppo/pheweb | 10ea317dbe9419fa77f99e6b735fa9a3290ccd5e | [
"MIT"
] | 4 | 2020-07-01T12:20:55.000Z | 2022-01-24T20:09:15.000Z | # -*- coding: utf-8 -*-
"""
Unit testing for command flags.
This tests the various command flags
and there helper methods.
"""
import argparse
import typing
import uuid
import pytest
from pheweb.load.command_flags import (
FLAG_CHROMOSOME,
add_chromosome_flag,
OUTPUT_COLUMN_CHROMOSOME,
FLAG_POSITION... | 26.174089 | 88 | 0.692653 | 866 | 6,465 | 4.797921 | 0.105081 | 0.040433 | 0.016847 | 0.033694 | 0.366065 | 0.26065 | 0.194946 | 0.118171 | 0.070999 | 0.029122 | 0 | 0.002705 | 0.199536 | 6,465 | 246 | 89 | 26.280488 | 0.800193 | 0.156535 | 0 | 0 | 0 | 0 | 0.016333 | 0.004083 | 0 | 0 | 0 | 0 | 0.253968 | 1 | 0.119048 | false | 0 | 0.039683 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9085232046fc5765251336d07c6534499f1401bb | 4,388 | py | Python | sandbox/error-correct-pass2.py | sadeepdarshana/khmer | bee54c4f579611d970c59367323d31d3545cafa6 | [
"CNRI-Python"
] | 558 | 2015-05-22T15:03:21.000Z | 2022-03-23T04:49:17.000Z | sandbox/error-correct-pass2.py | sadeepdarshana/khmer | bee54c4f579611d970c59367323d31d3545cafa6 | [
"CNRI-Python"
] | 1,057 | 2015-05-14T20:27:04.000Z | 2022-03-08T09:29:36.000Z | sandbox/error-correct-pass2.py | sadeepdarshana/khmer | bee54c4f579611d970c59367323d31d3545cafa6 | [
"CNRI-Python"
] | 193 | 2015-05-18T10:13:34.000Z | 2021-12-10T11:58:01.000Z | #! /usr/bin/env python
# This file is part of khmer, https://github.com/dib-lab/khmer/, and is
# Copyright (C) 2011-2015, Michigan State University.
# Copyright (C) 2015, The Regents of the University of California.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted pro... | 35.104 | 78 | 0.66773 | 567 | 4,388 | 5.088183 | 0.428571 | 0.003466 | 0.029463 | 0.015945 | 0.080069 | 0.04714 | 0.04714 | 0.04714 | 0.04714 | 0.04714 | 0 | 0.007764 | 0.236782 | 4,388 | 124 | 79 | 35.387097 | 0.853688 | 0.454877 | 0 | 0 | 0 | 0 | 0.12138 | 0 | 0 | 0 | 0 | 0 | 0.016949 | 1 | 0.033898 | false | 0 | 0.118644 | 0 | 0.186441 | 0.050847 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90861fa0047d98bc9b632e22782ae0a512bc70e6 | 561 | py | Python | hackerrank/medium/Climbing_the_Leaderboard.py | HoussemBousmaha/Competitive-Programming | c4530fc01d8933bdfefec7fb6d31cd648e760334 | [
"MIT"
] | 6 | 2022-03-02T23:08:00.000Z | 2022-03-07T07:26:48.000Z | hackerrank/medium/Climbing_the_Leaderboard.py | HoussemBousmaha/Competitive-Programming | c4530fc01d8933bdfefec7fb6d31cd648e760334 | [
"MIT"
] | null | null | null | hackerrank/medium/Climbing_the_Leaderboard.py | HoussemBousmaha/Competitive-Programming | c4530fc01d8933bdfefec7fb6d31cd648e760334 | [
"MIT"
] | null | null | null | def climbingLeaderboard(ranked, player):
ranked = sorted(list(set(ranked)), reverse=True)
ranks = []
# print(ranked)
for i in range(len(player)):
bi = 0
bs = len(ranked) - 1
index = 0
while (bi <= bs):
mid = (bi+bs) // 2
if (ranked[mid] > player... | 20.035714 | 52 | 0.43672 | 63 | 561 | 3.888889 | 0.444444 | 0.04898 | 0.097959 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.025397 | 0.438503 | 561 | 27 | 53 | 20.777778 | 0.752381 | 0.023173 | 0 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0 | 0 | 0.105263 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
908733eb70f6006bbe7cab4fd64970e3aec01842 | 8,352 | py | Python | src/python/config/parser/test_parsing.py | ncsa/NCSA-Genomics_MGC_GenomeGPS_CromwelWDL | 4611896ea1bb50df50120752712e8d4b32a6d023 | [
"MIT"
] | null | null | null | src/python/config/parser/test_parsing.py | ncsa/NCSA-Genomics_MGC_GenomeGPS_CromwelWDL | 4611896ea1bb50df50120752712e8d4b32a6d023 | [
"MIT"
] | null | null | null | src/python/config/parser/test_parsing.py | ncsa/NCSA-Genomics_MGC_GenomeGPS_CromwelWDL | 4611896ea1bb50df50120752712e8d4b32a6d023 | [
"MIT"
] | null | null | null | #!/usr/bin/env python3
import unittest
from config.parser.parsing import Parser
class TestParser(unittest.TestCase):
# Create an instance of the Parser class
parser_inst = Parser(job_id="NA")
# Turn the project logger off during UnitTesting, so the end user is not confused by error messages
# (So... | 53.538462 | 120 | 0.578544 | 895 | 8,352 | 5.048045 | 0.201117 | 0.058433 | 0.048915 | 0.065073 | 0.674635 | 0.608676 | 0.590969 | 0.564409 | 0.536078 | 0.536078 | 0 | 0.012156 | 0.320402 | 8,352 | 155 | 121 | 53.883871 | 0.783827 | 0.119013 | 0 | 0.398148 | 0 | 0 | 0.188594 | 0.037199 | 0 | 0 | 0 | 0 | 0.12963 | 1 | 0.148148 | false | 0.018519 | 0.018519 | 0 | 0.185185 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9088061118cf617385915ed728847f4d1b206103 | 862 | py | Python | scripts/aggregate_membership.py | LibrariesHacked/wuthering-hacks | c8e87dda86b05aaf9c23a5606472dc72c0aff603 | [
"CC0-1.0",
"MIT"
] | 5 | 2016-10-02T13:49:29.000Z | 2020-02-12T00:09:14.000Z | scripts/aggregate_membership.py | LibrariesHacked/wuthering-hacks | c8e87dda86b05aaf9c23a5606472dc72c0aff603 | [
"CC0-1.0",
"MIT"
] | null | null | null | scripts/aggregate_membership.py | LibrariesHacked/wuthering-hacks | c8e87dda86b05aaf9c23a5606472dc72c0aff603 | [
"CC0-1.0",
"MIT"
] | null | null | null | ## Requires Python v3 and pandas (pip install pandas)
## This script takes the newcastle membership csv and attempts
## to reduce the file size as much as possible through aggregation and lookups
## Two lookup files to provide library names and dates are also created.
import csv
import os
import re
from datetime impor... | 30.785714 | 100 | 0.732019 | 117 | 862 | 5.247863 | 0.57265 | 0.065147 | 0.045603 | 0.068404 | 0.087948 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001393 | 0.167053 | 862 | 28 | 101 | 30.785714 | 0.85376 | 0.296984 | 0 | 0 | 0 | 0 | 0.152174 | 0.068562 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.294118 | 0 | 0.470588 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9088b5572da41984c1697dbaf7d670a85f1c124c | 10,535 | py | Python | mdl/contracts/contract.py | fafhrd91/mdl | daada030649305df02f65b77ebdf41cf976a870e | [
"Apache-2.0"
] | 3 | 2016-12-28T09:31:27.000Z | 2017-01-09T18:38:46.000Z | mdl/contracts/contract.py | fafhrd91/mdl | daada030649305df02f65b77ebdf41cf976a870e | [
"Apache-2.0"
] | 1 | 2019-05-04T18:14:24.000Z | 2019-05-04T18:14:24.000Z | mdl/contracts/contract.py | fafhrd91/mdl | daada030649305df02f65b77ebdf41cf976a870e | [
"Apache-2.0"
] | null | null | null | """Interface contract object"""
from __future__ import absolute_import
import six
import sys
import logging
from contracts.interface import ContractException, ContractNotRespected
from .extension import ID
from ..declarations import implementer
from ..verify import verifyObject
from ..interface import InterfaceClass
... | 31.541916 | 79 | 0.57608 | 1,140 | 10,535 | 5.098246 | 0.144737 | 0.027529 | 0.013248 | 0.01755 | 0.407605 | 0.344804 | 0.32691 | 0.319855 | 0.303338 | 0.294563 | 0 | 0.001698 | 0.328999 | 10,535 | 333 | 80 | 31.636637 | 0.820484 | 0.038159 | 0 | 0.406639 | 0 | 0 | 0.067644 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.099585 | false | 0 | 0.037344 | 0.008299 | 0.228216 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
908923bb1a1d3dddbedc40a59f1c9790842c688e | 3,979 | py | Python | hourglass/train.py | ziqi123/AutoParking | bc2c86fe93892c0502cc7cf689d8ec072d2974d1 | [
"Apache-2.0"
] | null | null | null | hourglass/train.py | ziqi123/AutoParking | bc2c86fe93892c0502cc7cf689d8ec072d2974d1 | [
"Apache-2.0"
] | null | null | null | hourglass/train.py | ziqi123/AutoParking | bc2c86fe93892c0502cc7cf689d8ec072d2974d1 | [
"Apache-2.0"
] | null | null | null | import numpy as np
import torch
import torchvision.transforms as transforms
from dataloader.dataloader_hourglass import heatmap_Dataloader
import os
from network import KFSGNet
import torchvision.transforms as transforms
os.environ['CUDA_VISIBLE_DEVICES'] = '2'
# Device configuration
device = torch.device('cuda' if t... | 27.631944 | 133 | 0.619754 | 535 | 3,979 | 4.442991 | 0.340187 | 0.069415 | 0.00631 | 0.010097 | 0.082457 | 0.026925 | 0.026925 | 0 | 0 | 0 | 0 | 0.04281 | 0.230963 | 3,979 | 143 | 134 | 27.825175 | 0.733987 | 0.320432 | 0 | 0.028986 | 0 | 0 | 0.099773 | 0.007937 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014493 | false | 0 | 0.101449 | 0 | 0.130435 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
908ab1d5d4950850ce0d224a0c7fe40fe59aa364 | 2,406 | py | Python | cms/management/commands/subcommands/copy_lang.py | mightyiam/django-cms | 09bf76d2f3d81fdaebcfb7e9ed4ecd4769fa8c25 | [
"BSD-3-Clause"
] | 2 | 2018-05-17T02:49:49.000Z | 2019-08-20T02:07:44.000Z | cms/management/commands/subcommands/copy_lang.py | mightyiam/django-cms | 09bf76d2f3d81fdaebcfb7e9ed4ecd4769fa8c25 | [
"BSD-3-Clause"
] | 2 | 2019-02-13T07:58:23.000Z | 2019-02-13T07:58:27.000Z | cms/management/commands/subcommands/copy_lang.py | mightyiam/django-cms | 09bf76d2f3d81fdaebcfb7e9ed4ecd4769fa8c25 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from optparse import make_option
from django.conf import settings
from django.core.management.base import BaseCommand, CommandError
from cms.api import copy_plugins_to_language
from cms.models import Title, Page
from cms.utils.i18n import get_language_list
class CopyLangCommand(BaseCommand)... | 37.59375 | 119 | 0.588944 | 301 | 2,406 | 4.55814 | 0.352159 | 0.06414 | 0.043732 | 0.041545 | 0.12828 | 0.081633 | 0 | 0 | 0 | 0 | 0 | 0.004316 | 0.325852 | 2,406 | 63 | 120 | 38.190476 | 0.841554 | 0.029094 | 0 | 0.212766 | 0 | 0 | 0.177606 | 0.009438 | 0 | 0 | 0 | 0 | 0.12766 | 1 | 0.021277 | false | 0 | 0.12766 | 0 | 0.212766 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
908cafca02ccd9dbc79045504cbba8cbd1494065 | 12,221 | py | Python | src/onegov/translator_directory/layout.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/layout.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | src/onegov/translator_directory/layout.py | politbuero-kampagnen/onegov-cloud | 20148bf321b71f617b64376fe7249b2b9b9c4aa9 | [
"MIT"
] | null | null | null | from cached_property import cached_property
from purl import URL
from onegov.translator_directory import _
from onegov.core.elements import Block, Link, LinkGroup, Confirm, Intercooler
from onegov.core.utils import linkify
from onegov.org.layout import DefaultLayout as BaseLayout
from onegov.translator_directory.colle... | 31.17602 | 79 | 0.469274 | 960 | 12,221 | 5.823958 | 0.177083 | 0.090503 | 0.040064 | 0.044178 | 0.593275 | 0.538723 | 0.489537 | 0.472545 | 0.458058 | 0.458058 | 0 | 0.000145 | 0.43728 | 12,221 | 391 | 80 | 31.255754 | 0.812854 | 0.01432 | 0 | 0.616766 | 0 | 0 | 0.078358 | 0 | 0 | 0 | 0 | 0 | 0.002994 | 1 | 0.092814 | false | 0 | 0.02994 | 0.047904 | 0.269461 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
908cc9c6b5ff8ca35a1dc06753afe50c50104b9d | 1,169 | py | Python | src/dsanalizer/informations.py | perqu/Dataset-Analizer | c12ca74bd4f1e5969f0d90d6115a87ff3afd7f59 | [
"MIT"
] | null | null | null | src/dsanalizer/informations.py | perqu/Dataset-Analizer | c12ca74bd4f1e5969f0d90d6115a87ff3afd7f59 | [
"MIT"
] | null | null | null | src/dsanalizer/informations.py | perqu/Dataset-Analizer | c12ca74bd4f1e5969f0d90d6115a87ff3afd7f59 | [
"MIT"
] | null | null | null | import pandas as pd
import numpy as np
import io
def info(df):
print("------------DIMENSIONS------------")
print("Rows:", df.shape[0])
print("Columns:", df.shape[1])
print("--------------DTYPES--------------")
columns = df.columns.tolist()
integers = df.select_dtypes("integer").columns.tolist(... | 33.4 | 100 | 0.544055 | 140 | 1,169 | 4.514286 | 0.414286 | 0.102848 | 0.088608 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004362 | 0.215569 | 1,169 | 35 | 101 | 33.4 | 0.684842 | 0 | 0 | 0 | 0 | 0 | 0.2 | 0.05812 | 0 | 0 | 0 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.096774 | 0 | 0.129032 | 0.258065 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
908ec7d6f30da870417cfcc9194599857d219fff | 5,861 | py | Python | src/packagedcode/cargo.py | Siddhant-K-code/scancode-toolkit | d1e725d3603a8f96c25f7e3f7595c68999b92a67 | [
"Apache-2.0",
"CC-BY-4.0"
] | 1,511 | 2015-07-01T15:29:03.000Z | 2022-03-30T13:40:05.000Z | src/packagedcode/cargo.py | Siddhant-K-code/scancode-toolkit | d1e725d3603a8f96c25f7e3f7595c68999b92a67 | [
"Apache-2.0",
"CC-BY-4.0"
] | 2,695 | 2015-07-01T16:01:35.000Z | 2022-03-31T19:17:44.000Z | src/packagedcode/cargo.py | Siddhant-K-code/scancode-toolkit | d1e725d3603a8f96c25f7e3f7595c68999b92a67 | [
"Apache-2.0",
"CC-BY-4.0"
] | 540 | 2015-07-01T15:08:19.000Z | 2022-03-31T12:13:11.000Z |
# Copyright (c) nexB Inc. and others. All rights reserved.
# ScanCode is a trademark of nexB Inc.
# SPDX-License-Identifier: Apache-2.0
# See http://www.apache.org/licenses/LICENSE-2.0 for the license text.
# See https://github.com/nexB/scancode-toolkit for support or download.
# See https://aboutcode.org for more inf... | 28.590244 | 99 | 0.61696 | 681 | 5,861 | 5.179148 | 0.270191 | 0.037426 | 0.034023 | 0.025517 | 0.343068 | 0.313581 | 0.269918 | 0.249504 | 0.249504 | 0.249504 | 0 | 0.001387 | 0.26173 | 5,861 | 204 | 100 | 28.730392 | 0.813728 | 0.232384 | 0 | 0.20339 | 0 | 0 | 0.078794 | 0.015431 | 0 | 0 | 0 | 0 | 0 | 1 | 0.084746 | false | 0 | 0.076271 | 0.008475 | 0.322034 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90918aea55bbacc028653f4732ff48d1cf1a76ea | 10,268 | py | Python | tests/testing/units.py | mandaltj/gem5_chips | b9c0c602241ffda7851c1afb32fa01f295bb98fd | [
"BSD-3-Clause"
] | 135 | 2016-10-21T03:31:49.000Z | 2022-03-25T01:22:20.000Z | tests/testing/units.py | mandaltj/gem5_chips | b9c0c602241ffda7851c1afb32fa01f295bb98fd | [
"BSD-3-Clause"
] | 35 | 2017-03-10T17:57:46.000Z | 2022-02-18T17:34:16.000Z | tests/testing/units.py | mandaltj/gem5_chips | b9c0c602241ffda7851c1afb32fa01f295bb98fd | [
"BSD-3-Clause"
] | 48 | 2016-12-08T12:03:13.000Z | 2022-02-16T09:16:13.000Z | #!/usr/bin/env python2.7
#
# Copyright (c) 2016 ARM Limited
# All rights reserved
#
# The license below extends only to copyright in the software and shall
# not be construed as granting a license to any other intellectual
# property including but not limited to intellectual property relating
# to a hardware implementa... | 34.689189 | 79 | 0.602357 | 1,250 | 10,268 | 4.8472 | 0.2816 | 0.033009 | 0.022281 | 0.027727 | 0.180393 | 0.161248 | 0.126093 | 0.07592 | 0.039611 | 0.039611 | 0 | 0.006083 | 0.295579 | 10,268 | 295 | 80 | 34.80678 | 0.831605 | 0.281847 | 0 | 0.145161 | 0 | 0 | 0.12048 | 0.022495 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102151 | false | 0.005376 | 0.064516 | 0.032258 | 0.344086 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9091ee961b1819c72143e6265ce0d0dcec7d5ad2 | 19,042 | py | Python | mythic-docker/app/routes/routes.py | rmusser01/Mythic | 48d3f6b0b1bbb4858e5f43a5c6528644b0751bc9 | [
"BSD-3-Clause"
] | 934 | 2020-08-13T15:32:30.000Z | 2022-03-31T20:41:21.000Z | mythic-docker/app/routes/routes.py | rmusser01/Mythic | 48d3f6b0b1bbb4858e5f43a5c6528644b0751bc9 | [
"BSD-3-Clause"
] | 88 | 2020-08-13T18:59:11.000Z | 2022-03-31T23:48:18.000Z | mythic-docker/app/routes/routes.py | rmusser01/Mythic | 48d3f6b0b1bbb4858e5f43a5c6528644b0751bc9 | [
"BSD-3-Clause"
] | 161 | 2020-08-13T17:28:03.000Z | 2022-03-19T14:56:34.000Z | from app import (
mythic,
links,
nginx_port,
listen_port,
mythic_admin_password,
mythic_admin_user,
default_operation_name,
mythic_db
)
import app
import asyncpg
import redis
from peewee_async import Manager
from sanic.response import json
from sanic import response
from ... | 41.21645 | 173 | 0.589014 | 2,086 | 19,042 | 5.224832 | 0.189837 | 0.02202 | 0.017616 | 0.021837 | 0.391779 | 0.336636 | 0.28865 | 0.2069 | 0.171575 | 0.152308 | 0 | 0.005391 | 0.308318 | 19,042 | 461 | 174 | 41.305857 | 0.822109 | 0.043798 | 0 | 0.3025 | 0 | 0.0025 | 0.148457 | 0.017598 | 0 | 0 | 0 | 0 | 0 | 1 | 0.005 | false | 0.0175 | 0.0625 | 0.0025 | 0.135 | 0.005 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90948ab3b394c7cb6e8df8160515b81630f1c311 | 4,510 | py | Python | lib/site_config.py | bruceravel/xraylarch | a8179208872d43bd23453fa0c64680e11bc2b5ed | [
"BSD-3-Clause"
] | null | null | null | lib/site_config.py | bruceravel/xraylarch | a8179208872d43bd23453fa0c64680e11bc2b5ed | [
"BSD-3-Clause"
] | null | null | null | lib/site_config.py | bruceravel/xraylarch | a8179208872d43bd23453fa0c64680e11bc2b5ed | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python
"""
site configuration for larch:
init_files: list of larch files run (in order) on startup
module_path: list of directories to search for larch code
history_file:
"""
from __future__ import print_function
import sys
import os
from os.path import exists, abspath, join
from .utils impor... | 29.86755 | 77 | 0.614634 | 568 | 4,510 | 4.737676 | 0.304577 | 0.044965 | 0.016351 | 0.013378 | 0.101821 | 0.072835 | 0.072835 | 0.050539 | 0.050539 | 0.050539 | 0 | 0.001192 | 0.255654 | 4,510 | 150 | 78 | 30.066667 | 0.800417 | 0.167627 | 0 | 0.13 | 0 | 0 | 0.210299 | 0.006471 | 0 | 0 | 0 | 0 | 0 | 1 | 0.06 | false | 0.01 | 0.06 | 0.01 | 0.13 | 0.04 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909490610fb0cdfc5860262dba5b4c657bee2b6b | 2,898 | py | Python | gpath/path_similarity.py | insilichem/gpathfinder | e6c7df14d473857acb007efbae3cc7b4fee1b330 | [
"Apache-2.0"
] | 5 | 2020-03-22T20:21:47.000Z | 2022-03-08T07:50:25.000Z | gpath/path_similarity.py | insilichem/gpathfinder | e6c7df14d473857acb007efbae3cc7b4fee1b330 | [
"Apache-2.0"
] | 2 | 2020-04-09T10:49:26.000Z | 2022-03-08T04:37:27.000Z | gpath/path_similarity.py | insilichem/gpathfinder | e6c7df14d473857acb007efbae3cc7b4fee1b330 | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
##############
# GPathFinder: Identification of ligand pathways by a multi-objective
# genetic algorithm
#
# https://github.com/insilichem/gpathfinder
#
# Copyright 2019 José-Emilio Sánchez Aparicio, Giuseppe Sciortino,
# Daniel Villadrich Herrmannsdoerfer, Pablo Orenes C... | 36.683544 | 77 | 0.689786 | 383 | 2,898 | 5.177546 | 0.503916 | 0.030257 | 0.013111 | 0.016137 | 0.044377 | 0.044377 | 0 | 0 | 0 | 0 | 0 | 0.012849 | 0.221187 | 2,898 | 79 | 78 | 36.683544 | 0.865751 | 0.676674 | 0 | 0.111111 | 0 | 0 | 0.022901 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0.166667 | 0 | 0.5 | 0.055556 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
9096de4357058d79ebeafc310708bd4b4560fdc0 | 1,666 | py | Python | Schedule/groupagenda/urls.py | f0rdream/party-time | 3b596043627383859042a6e70167e4304bab9a92 | [
"MIT"
] | null | null | null | Schedule/groupagenda/urls.py | f0rdream/party-time | 3b596043627383859042a6e70167e4304bab9a92 | [
"MIT"
] | null | null | null | Schedule/groupagenda/urls.py | f0rdream/party-time | 3b596043627383859042a6e70167e4304bab9a92 | [
"MIT"
] | null | null | null | from django.conf.urls import url, include
from .views import (GroupListAPIView,
GroupCreateAPIView,
AgendaListAPIView,
AgendaDetailAPIView,
AgendaCreateAPIView,
AgendaPostAPIView,
agenda_create,
... | 57.448276 | 120 | 0.614046 | 184 | 1,666 | 5.375 | 0.25 | 0.048534 | 0.101112 | 0.070779 | 0.202224 | 0.157735 | 0.144591 | 0.130435 | 0.079879 | 0 | 0 | 0.004505 | 0.20048 | 1,666 | 28 | 121 | 59.5 | 0.737988 | 0.052221 | 0 | 0 | 0 | 0.038462 | 0.285533 | 0.178299 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.076923 | 0 | 0.076923 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909914b3df8b80013e491c569d64a1ce700cd6e4 | 630 | py | Python | main_test_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 8 | 2022-01-19T20:47:36.000Z | 2022-03-20T05:11:04.000Z | main_test_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 2 | 2022-02-17T06:14:25.000Z | 2022-02-17T08:43:57.000Z | main_test_dad.py | AdamLohSg/GTA | bf6a745a6e28e365466e76360a15ca10ce61e009 | [
"Apache-2.0"
] | 5 | 2022-02-15T04:16:27.000Z | 2022-03-29T01:21:41.000Z | import torch
from models.gta import GraphTemporalEmbedding
if __name__ == '__main__':
device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
x = torch.randn(32, 96, 122)
model = GraphTemporalEmbedding(122, 96, 3)
y = model(x)
print(y.size())
# model = AdaGraphSage(num_nodes=10, s... | 39.375 | 78 | 0.647619 | 93 | 630 | 4.225806 | 0.44086 | 0.076336 | 0.091603 | 0.066158 | 0.239186 | 0.16285 | 0.16285 | 0 | 0 | 0 | 0 | 0.064202 | 0.184127 | 630 | 16 | 79 | 39.375 | 0.700389 | 0.490476 | 0 | 0 | 0 | 0 | 0.047923 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0.125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909b082c85db7f41252c1dd15a6d1058abd2c236 | 2,330 | py | Python | prml/dimreduction/bayesian_pca.py | andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | [
"MIT"
] | null | null | null | prml/dimreduction/bayesian_pca.py | andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | [
"MIT"
] | null | null | null | prml/dimreduction/bayesian_pca.py | andresmasegosa/PRML-CoreSets | fb768debb15e3ff6f5b65b7224915a41c1493f3d | [
"MIT"
] | null | null | null | import numpy as np
from prml.dimreduction.pca import PCA
class BayesianPCA(PCA):
def fit(self, X, iter_max=100, initial="random"):
"""
empirical bayes estimation of pca parameters
Parameters
----------
X : (sample_size, n_features) ndarray
input data
i... | 36.40625 | 101 | 0.529185 | 343 | 2,330 | 3.542274 | 0.276968 | 0.065844 | 0.034568 | 0.019753 | 0.296296 | 0.271605 | 0.271605 | 0.228807 | 0.184362 | 0.184362 | 0 | 0.018216 | 0.316738 | 2,330 | 63 | 102 | 36.984127 | 0.744975 | 0.223176 | 0 | 0.058824 | 0 | 0 | 0.035907 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.088235 | false | 0 | 0.058824 | 0 | 0.176471 | 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 |
909b242da63999e1207271fb27d3b19ba2f0e8e9 | 11,492 | py | Python | mne/time_frequency/psd.py | jnvandermeer/mne-python | 143a1fbfd2a68a0ce8d700da9299564de0b92334 | [
"BSD-3-Clause"
] | null | null | null | mne/time_frequency/psd.py | jnvandermeer/mne-python | 143a1fbfd2a68a0ce8d700da9299564de0b92334 | [
"BSD-3-Clause"
] | 2 | 2016-02-27T13:43:15.000Z | 2018-07-18T19:44:45.000Z | mne/time_frequency/psd.py | jnvandermeer/mne-python | 143a1fbfd2a68a0ce8d700da9299564de0b92334 | [
"BSD-3-Clause"
] | 1 | 2017-03-05T20:44:07.000Z | 2017-03-05T20:44:07.000Z | # Authors : Alexandre Gramfort, alexandre.gramfort@telecom-paristech.fr (2011)
# Denis A. Engemann <denis.engemann@gmail.com>
# License : BSD 3-clause
import numpy as np
from ..parallel import parallel_func
from ..io.pick import _pick_data_channels
from ..utils import logger, verbose, _time_mask
from ..fixe... | 38.563758 | 79 | 0.62661 | 1,637 | 11,492 | 4.242517 | 0.201588 | 0.021886 | 0.038301 | 0.014975 | 0.49388 | 0.464795 | 0.441037 | 0.413535 | 0.388193 | 0.374082 | 0 | 0.009482 | 0.284198 | 11,492 | 297 | 80 | 38.693603 | 0.834792 | 0.530108 | 0 | 0.057471 | 0 | 0 | 0.083457 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.068966 | false | 0 | 0.103448 | 0 | 0.241379 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909b5fdd491dd149598afad1dcf2d6d1cdc7dcc1 | 600 | py | Python | src/models/layers/feature.py | icycookies/dd_benchmark | 5551c0654d3dc30d72b817096d0877a02f28f116 | [
"MIT"
] | 2 | 2021-08-01T13:02:41.000Z | 2021-08-01T14:39:44.000Z | src/models/layers/feature.py | icycookies/dd_benchmark | 5551c0654d3dc30d72b817096d0877a02f28f116 | [
"MIT"
] | null | null | null | src/models/layers/feature.py | icycookies/dd_benchmark | 5551c0654d3dc30d72b817096d0877a02f28f116 | [
"MIT"
] | 1 | 2021-08-01T14:39:45.000Z | 2021-08-01T14:39:45.000Z | import torch
import torch.nn as nn
class MLP(nn.Module):
def __init__(self, num_features, hidden_sizes, dropout):
super().__init__()
self.layers = nn.ModuleList(
[nn.Linear(num_features, hidden_sizes[0])] +
[nn.Linear(hidden_sizes[i], hidden_sizes[i + 1]) for i in range(len(... | 31.578947 | 99 | 0.576667 | 81 | 600 | 4.08642 | 0.407407 | 0.166163 | 0.102719 | 0.132931 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007143 | 0.3 | 600 | 19 | 100 | 31.578947 | 0.780952 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.117647 | 0 | 0.352941 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909b69d30b3ae1f1f238868bd4ff4b5d2afdace9 | 27,662 | py | Python | src/kanone/adapter/tx.py | doncatnip/kanone | 1f149f69f4f9dbb49dd29153fd0366cde68c2b85 | [
"Unlicense"
] | 5 | 2015-06-14T22:56:10.000Z | 2017-05-29T07:59:35.000Z | src/kanone/adapter/tx.py | doncatnip/kanone | 1f149f69f4f9dbb49dd29153fd0366cde68c2b85 | [
"Unlicense"
] | 5 | 2019-03-19T13:39:26.000Z | 2020-11-03T20:01:46.000Z | src/kanone/adapter/tx.py | doncatnip/kanone | 1f149f69f4f9dbb49dd29153fd0366cde68c2b85 | [
"Unlicense"
] | null | null | null | """ Twisted adapter for Kanone """
from twisted.python.failure import Failure
from twisted.internet import defer
from ..lib import Invalid
from ..util import varargs2kwargs
import logging, sys
log = logging.getLogger( __name__ )
# hacky and redundant, but it'll do for now ..
# TODO: move to proper twisted specific c... | 30.431243 | 132 | 0.521654 | 2,568 | 27,662 | 5.514408 | 0.105919 | 0.033049 | 0.018078 | 0.021185 | 0.477297 | 0.42038 | 0.355201 | 0.319963 | 0.303086 | 0.273356 | 0 | 0.001022 | 0.398814 | 27,662 | 908 | 133 | 30.464758 | 0.850511 | 0.01399 | 0 | 0.54073 | 0 | 0 | 0.012115 | 0 | 0 | 0 | 0 | 0.001101 | 0 | 1 | 0.057584 | false | 0.009831 | 0.021067 | 0.001404 | 0.126404 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909c067225e930569a068986504ae450bf7106ff | 3,187 | py | Python | ferry/crawler/fetch_demand.py | coursetable/ferry | f369b9588557c359af8589f2575a03493d6b08b6 | [
"MIT"
] | 4 | 2020-11-12T19:37:06.000Z | 2021-12-14T01:38:39.000Z | ferry/crawler/fetch_demand.py | coursetable/ferry | f369b9588557c359af8589f2575a03493d6b08b6 | [
"MIT"
] | 96 | 2020-09-08T05:17:17.000Z | 2022-03-31T23:12:51.000Z | ferry/crawler/fetch_demand.py | coursetable/ferry | f369b9588557c359af8589f2575a03493d6b08b6 | [
"MIT"
] | 2 | 2021-03-03T23:02:40.000Z | 2021-06-17T23:33:05.000Z | """
Fetches demand statistics.
Modified from Dan Zhao
Original article:
https://yaledailynews.com/blog/2020/01/10/yales-most-popular-courses/
Github:
https://github.com/iamdanzhao/yale-popular-classes
README:
https://github.com/iamdanzhao/yale-popular-classes/blob/master/data-guide/course_data_guide.md
"""
import ... | 29.509259 | 94 | 0.671478 | 403 | 3,187 | 5.116625 | 0.389578 | 0.050436 | 0.036857 | 0.021823 | 0.13773 | 0.13773 | 0.13773 | 0.056256 | 0.056256 | 0.056256 | 0 | 0.012805 | 0.240351 | 3,187 | 107 | 95 | 29.785047 | 0.83891 | 0.253216 | 0 | 0 | 0 | 0 | 0.110538 | 0.054194 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021277 | false | 0.021277 | 0.191489 | 0 | 0.255319 | 0.06383 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909e429cd3c93b342a1a4e97e4084847d6b07a78 | 3,476 | py | Python | main.py | tarunsinghal92/indeedscrapperlatest | 2c7fd920d115764192bf5f7bf8fd3d30aa6ec2b4 | [
"MIT"
] | 15 | 2019-07-31T11:48:28.000Z | 2022-02-25T13:55:23.000Z | main.py | tarunsinghal92/indeedscrapperlatest | 2c7fd920d115764192bf5f7bf8fd3d30aa6ec2b4 | [
"MIT"
] | null | null | null | main.py | tarunsinghal92/indeedscrapperlatest | 2c7fd920d115764192bf5f7bf8fd3d30aa6ec2b4 | [
"MIT"
] | 14 | 2019-02-20T21:44:39.000Z | 2022-02-16T11:35:27.000Z | # import packages
import requests
import pandas as pd
import time
from functions import *
# limit per sity
max_results_per_city = 100
# db of city
city_set = ['New+York','Toronto','Las+Vegas']
# job roles
job_set = ['business+analyst','data+scientist']
# file num
file = 1
# from where to skip
SKIPPER = 0
# lo... | 29.709402 | 183 | 0.467779 | 381 | 3,476 | 4.133858 | 0.335958 | 0.062222 | 0.099048 | 0.088889 | 0.096508 | 0.062222 | 0.062222 | 0.041905 | 0.041905 | 0 | 0 | 0.008973 | 0.4229 | 3,476 | 116 | 184 | 29.965517 | 0.776171 | 0.18901 | 0 | 0 | 0 | 0 | 0.091628 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.090909 | 0 | 0.090909 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909f78a9a426fedd3532cae3c362b0e27f684e37 | 4,973 | py | Python | L0_serial.py | RL-WWW/ISST | 42b656686fa9660794007a0bc00a7177937410e9 | [
"BSD-3-Clause"
] | 5 | 2021-01-24T13:19:45.000Z | 2021-04-05T15:49:35.000Z | L0_serial.py | RL-WWW/ISST | 42b656686fa9660794007a0bc00a7177937410e9 | [
"BSD-3-Clause"
] | null | null | null | L0_serial.py | RL-WWW/ISST | 42b656686fa9660794007a0bc00a7177937410e9 | [
"BSD-3-Clause"
] | null | null | null | # Import Libraries
import numpy as np
import cv2
import argparse
import time
# Import User Libraries
import L0_helpers
# Image File Path
image_r = "images/flowers.jpg"
image_w = "out_serial.png"
# L0 minimization parameters
kappa = 2.0
_lambda = 2e-2
# Verbose output
verbose = False
def L0_smooth(input_path, outpu... | 26.593583 | 90 | 0.575508 | 797 | 4,973 | 3.480552 | 0.2133 | 0.051911 | 0.030281 | 0.019466 | 0.218818 | 0.179885 | 0.157174 | 0.059841 | 0.020187 | 0.020187 | 0 | 0.047219 | 0.233461 | 4,973 | 186 | 91 | 26.736559 | 0.680483 | 0.154434 | 0 | 0.137615 | 0 | 0 | 0.132597 | 0 | 0 | 0 | 0 | 0 | 0.009174 | 1 | 0.009174 | false | 0 | 0.045872 | 0 | 0.055046 | 0.119266 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
909f8409bcfac0d98c71ec79e9110765c9b7b295 | 2,565 | py | Python | data_processing/signal_downsampling.py | HassanHayat08/Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data | 7149e78736611f07a1c7c4adbdf24ae03011e549 | [
"MIT"
] | 9 | 2020-09-26T23:52:49.000Z | 2021-10-04T00:08:23.000Z | data_processing/signal_downsampling.py | HassanHayat08/Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data | 7149e78736611f07a1c7c4adbdf24ae03011e549 | [
"MIT"
] | null | null | null | data_processing/signal_downsampling.py | HassanHayat08/Interpretable-CNN-for-Big-Five-Personality-Traits-using-Audio-Data | 7149e78736611f07a1c7c4adbdf24ae03011e549 | [
"MIT"
] | 2 | 2021-04-06T13:02:24.000Z | 2021-12-06T09:03:24.000Z | ### Interpretable cnn for big five personality traits using audio data ###
### This script downsamples 41000 kz signal into 4000 kz signal ###
from __future__ import absolute_import, division, print_function
import pathlib
import random
import csv
import numpy as np
from scipy.io import wavfile
import tensorflow as t... | 29.482759 | 121 | 0.670955 | 384 | 2,565 | 4.273438 | 0.382813 | 0.043876 | 0.021938 | 0.02925 | 0.023157 | 0 | 0 | 0 | 0 | 0 | 0 | 0.023763 | 0.196101 | 2,565 | 86 | 122 | 29.825581 | 0.772066 | 0.111891 | 0 | 0 | 0 | 0 | 0.050605 | 0.025078 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.15 | 0 | 0.216667 | 0.033333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90a2c66069c33df69aa851c8c0f49466dd43d14e | 2,127 | py | Python | model_search/search/common_test.py | LinqCod/model_search | d90bc39994bc2a5f5028035ac954f796eda03310 | [
"Apache-2.0"
] | null | null | null | model_search/search/common_test.py | LinqCod/model_search | d90bc39994bc2a5f5028035ac954f796eda03310 | [
"Apache-2.0"
] | null | null | null | model_search/search/common_test.py | LinqCod/model_search | d90bc39994bc2a5f5028035ac954f796eda03310 | [
"Apache-2.0"
] | null | null | null | # Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, ... | 32.227273 | 74 | 0.649741 | 260 | 2,127 | 5.103846 | 0.473077 | 0.09043 | 0.081387 | 0.024115 | 0.049736 | 0 | 0 | 0 | 0 | 0 | 0 | 0.019778 | 0.239304 | 2,127 | 65 | 75 | 32.723077 | 0.800371 | 0.283968 | 0 | 0.075 | 0 | 0 | 0.18617 | 0.029255 | 0 | 0 | 0 | 0 | 0.1 | 1 | 0.075 | false | 0 | 0.075 | 0 | 0.175 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90a3029cbc5a3d0ba677696927ab7f1da401c62e | 588 | py | Python | model-builder/skrutil/deprecate_util.py | DaYeSquad/worktilerwdemo | 03fbc18dcba4881628cf790f2f0cd7e6f9aa130f | [
"MIT"
] | 5 | 2016-05-13T15:23:41.000Z | 2019-05-29T08:23:25.000Z | model-builder/skrutil/deprecate_util.py | DaYeSquad/worktilerwdemo | 03fbc18dcba4881628cf790f2f0cd7e6f9aa130f | [
"MIT"
] | null | null | null | model-builder/skrutil/deprecate_util.py | DaYeSquad/worktilerwdemo | 03fbc18dcba4881628cf790f2f0cd7e6f9aa130f | [
"MIT"
] | 2 | 2016-06-08T08:22:42.000Z | 2019-02-25T08:46:54.000Z | import warnings
def deprecated(func):
"""This is a decorator which can be used to mark functions
as deprecated. It will result in a warning being emmitted
when the function is used."""
def newFunc(*args, **kwargs):
warnings.simplefilter('always', DeprecationWarning)
warnings.warn("Call... | 34.588235 | 72 | 0.681973 | 69 | 588 | 5.405797 | 0.608696 | 0.053619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.229592 | 588 | 16 | 73 | 36.75 | 0.8234 | 0.238095 | 0 | 0 | 0 | 0 | 0.085253 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.181818 | false | 0 | 0.090909 | 0 | 0.454545 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90a433b0faab6ec973b072f69d11760a7c0bb8ef | 3,381 | py | Python | oem_storage_file/main.py | OpenEntityMap/oem-storage-file | cce7e3979c413273aaa224799cfe6b86bad7627e | [
"BSD-3-Clause"
] | null | null | null | oem_storage_file/main.py | OpenEntityMap/oem-storage-file | cce7e3979c413273aaa224799cfe6b86bad7627e | [
"BSD-3-Clause"
] | null | null | null | oem_storage_file/main.py | OpenEntityMap/oem-storage-file | cce7e3979c413273aaa224799cfe6b86bad7627e | [
"BSD-3-Clause"
] | null | null | null | from oem_framework.models.core import ModelRegistry
from oem_framework.plugin import Plugin
from oem_framework.storage import ProviderStorage
from oem_storage_file.core.base import BaseFileStorage
from oem_storage_file.database import DatabaseFileStorage
import appdirs
import os
class ProviderFileStorage(ProviderSto... | 27.266129 | 89 | 0.615794 | 388 | 3,381 | 5.177835 | 0.216495 | 0.089597 | 0.063713 | 0.039821 | 0.410154 | 0.372325 | 0.324042 | 0.307616 | 0.269786 | 0.168243 | 0 | 0.003325 | 0.288376 | 3,381 | 123 | 90 | 27.487805 | 0.831671 | 0.079266 | 0 | 0.211268 | 0 | 0 | 0.024588 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.140845 | false | 0 | 0.098592 | 0.056338 | 0.394366 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90a586abf2c437f6ccd419108bdf5f296a7fed74 | 5,630 | py | Python | tests/model/test_ocrd_page.py | j23d/core | b063737a5cc4701fb507328b5940919848934ef1 | [
"Apache-2.0"
] | null | null | null | tests/model/test_ocrd_page.py | j23d/core | b063737a5cc4701fb507328b5940919848934ef1 | [
"Apache-2.0"
] | null | null | null | tests/model/test_ocrd_page.py | j23d/core | b063737a5cc4701fb507328b5940919848934ef1 | [
"Apache-2.0"
] | null | null | null | from tests.base import TestCase, main, assets
from ocrd_models.ocrd_page import (
AlternativeImageType,
PcGtsType,
PageType,
TextRegionType,
TextLineType,
WordType,
GlyphType,
parseString,
parse,
to_xml
)
simple_page = """\
<PcGts xmlns="http://schema.primaresearch.org/PAGE/gt... | 43.307692 | 298 | 0.649556 | 689 | 5,630 | 5.184325 | 0.32656 | 0.040314 | 0.040314 | 0.033595 | 0.37318 | 0.363102 | 0.326148 | 0.277716 | 0.229563 | 0.200448 | 0 | 0.06064 | 0.206217 | 5,630 | 129 | 299 | 43.643411 | 0.738644 | 0.108881 | 0 | 0.021277 | 0 | 0.085106 | 0.40169 | 0.062789 | 0 | 0 | 0 | 0 | 0.138298 | 1 | 0.085106 | false | 0 | 0.021277 | 0 | 0.117021 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90a811a1c9219aef26a6c2b2f33c1210f92378af | 643 | py | Python | athena/athena/algorithms/NetworkAnalysis/Components.py | aculich/openmappr | c9e5b4cfc974a6eda9cbc8a0ea6f8a96ce35efba | [
"MIT"
] | 19 | 2018-04-05T23:33:33.000Z | 2022-03-24T00:18:20.000Z | athena/athena/algorithms/NetworkAnalysis/Components.py | aculich/openmappr | c9e5b4cfc974a6eda9cbc8a0ea6f8a96ce35efba | [
"MIT"
] | 13 | 2018-01-10T23:31:11.000Z | 2018-07-20T12:55:02.000Z | athena/athena/algorithms/NetworkAnalysis/Components.py | aculich/openmappr | c9e5b4cfc974a6eda9cbc8a0ea6f8a96ce35efba | [
"MIT"
] | 5 | 2018-02-12T05:33:19.000Z | 2019-09-21T22:43:02.000Z | # -*- coding: utf-8 -*-
# -*- coding: utf-8 -*-
"""
Created on Wed Aug 13 15:35:50 2014
@author: rich
"""
import networkx as nx
# assign component IDs to graph components, id=0 is giant component
def componentIDs(network):
# networkx algo only works on undirected network
if isinstance(network, nx.DiGraph):
... | 26.791667 | 82 | 0.659409 | 86 | 643 | 4.918605 | 0.639535 | 0.042553 | 0.047281 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029821 | 0.217729 | 643 | 24 | 83 | 26.791667 | 0.811133 | 0.37014 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0.1 | 0 | 0.3 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90aa5dbc6e140871e083e339d177b3478bf2b89d | 526 | py | Python | ci/test_filename.py | climateamante/linode.docs | 9a2d26db11ab439f354bb9027eb62eda7453ff0b | [
"CC-BY-4.0"
] | null | null | null | ci/test_filename.py | climateamante/linode.docs | 9a2d26db11ab439f354bb9027eb62eda7453ff0b | [
"CC-BY-4.0"
] | null | null | null | ci/test_filename.py | climateamante/linode.docs | 9a2d26db11ab439f354bb9027eb62eda7453ff0b | [
"CC-BY-4.0"
] | null | null | null | import pytest
import itertools
# Cartesian product of file names and extensions
# e.g. README.txt, README.md, CHANGELOG.txt, CHANGELOG.md ...
file_extensions = ['txt', 'md']
names = ['README', 'CHANGELOG', 'CONTRIBUTING', 'LICENSE', 'CODE_OF_CONDUCT']
exempt_files = [('.'.join(x)) for x in itertools.product(names, fil... | 35.066667 | 81 | 0.709125 | 73 | 526 | 4.972603 | 0.534247 | 0.082645 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.159696 | 526 | 14 | 82 | 37.571429 | 0.821267 | 0.201521 | 0 | 0 | 0 | 0 | 0.199041 | 0 | 0 | 0 | 0 | 0 | 0.2 | 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 |
90aa7fec2a73694bfef5aa1b7617bf2c7fb170fa | 1,570 | py | Python | test/test_sshtransport.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 76 | 2015-01-24T19:18:31.000Z | 2021-03-11T11:17:14.000Z | test/test_sshtransport.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 8 | 2015-01-24T18:59:57.000Z | 2017-06-07T13:07:34.000Z | test/test_sshtransport.py | stribika/sshlabs | 421e62433aab0e21456254a0b2c5feb830d0c77c | [
"Unlicense"
] | 21 | 2015-01-24T18:56:52.000Z | 2021-03-10T14:33:14.000Z | import sys
import unittest
sys.path.append("../main")
from sshtransport import *
class FakeSocket(object):
def __init__(self):
self.recv_buffer = b""
self.send_buffer = b""
def recv(self, n):
resp = self.recv_buffer[:n]
self.recv_buffer = self.recv_buffer[n:]
return r... | 32.708333 | 107 | 0.658599 | 199 | 1,570 | 5.085427 | 0.246231 | 0.094862 | 0.106719 | 0.094862 | 0.395257 | 0.395257 | 0.337945 | 0.337945 | 0.27668 | 0.27668 | 0 | 0.055016 | 0.212739 | 1,570 | 47 | 108 | 33.404255 | 0.763754 | 0 | 0 | 0.210526 | 0 | 0.052632 | 0.171338 | 0.145223 | 0 | 0 | 0 | 0 | 0.157895 | 1 | 0.184211 | false | 0 | 0.078947 | 0 | 0.368421 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90ab146abe91415bc0bc793fedf75c04fb9406e9 | 7,357 | py | Python | activity-classification/main_scenario_baseline.py | bstollnitz/grad-school-portfolio | 484e00cc4857de2eda6848f61a1e6fbf26309d42 | [
"MIT"
] | 2 | 2019-10-24T16:40:44.000Z | 2020-06-21T03:56:18.000Z | activity-classification/main_scenario_baseline.py | bstollnitz/portfolio | 484e00cc4857de2eda6848f61a1e6fbf26309d42 | [
"MIT"
] | null | null | null | activity-classification/main_scenario_baseline.py | bstollnitz/portfolio | 484e00cc4857de2eda6848f61a1e6fbf26309d42 | [
"MIT"
] | null | null | null | import random
import time
from pathlib import Path
from typing import Dict, List, Tuple
import numpy as np
import torch
from torch.utils import data
from torch.utils.tensorboard import SummaryWriter
import utils_graph
import utils_io
import utils_nn
from feed_forward import FeedForward
from hyperparameters import Hyp... | 35.887805 | 85 | 0.703819 | 885 | 7,357 | 5.572881 | 0.212429 | 0.044607 | 0.035685 | 0.021087 | 0.26399 | 0.202352 | 0.127332 | 0.090835 | 0.090835 | 0.070154 | 0 | 0.011506 | 0.208509 | 7,357 | 205 | 86 | 35.887805 | 0.83548 | 0.173304 | 0 | 0.081301 | 0 | 0 | 0.114866 | 0.012652 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04878 | false | 0 | 0.121951 | 0 | 0.195122 | 0.04878 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90ad0d873a774414aef935d258105887a6980e80 | 3,322 | py | Python | flit_core/flit_core/tests/test_common.py | rahul-deepsource/flit | 5d5be0a9c6f77a2dbbffd3369ad8ac7813a926bf | [
"BSD-3-Clause"
] | null | null | null | flit_core/flit_core/tests/test_common.py | rahul-deepsource/flit | 5d5be0a9c6f77a2dbbffd3369ad8ac7813a926bf | [
"BSD-3-Clause"
] | null | null | null | flit_core/flit_core/tests/test_common.py | rahul-deepsource/flit | 5d5be0a9c6f77a2dbbffd3369ad8ac7813a926bf | [
"BSD-3-Clause"
] | 1 | 2021-06-24T10:21:43.000Z | 2021-06-24T10:21:43.000Z | import os.path as osp
from unittest import TestCase
import pytest
from flit_core.common import (
Module, get_info_from_module, InvalidVersion, NoVersionError, check_version,
normalize_file_permissions, Metadata
)
samples_dir = osp.join(osp.dirname(__file__), 'samples')
class ModuleTests(TestCase):
def te... | 35.340426 | 112 | 0.599639 | 364 | 3,322 | 5.217033 | 0.271978 | 0.068457 | 0.04634 | 0.071617 | 0.347551 | 0.300158 | 0.148499 | 0.148499 | 0.103212 | 0.044234 | 0 | 0.034956 | 0.276641 | 3,322 | 93 | 113 | 35.72043 | 0.755306 | 0.006623 | 0 | 0.08 | 0 | 0 | 0.157416 | 0.008493 | 0 | 0 | 0 | 0 | 0.226667 | 1 | 0.093333 | false | 0 | 0.106667 | 0 | 0.213333 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90b5ceb756a46b298c1cfb2d69501dea6821b502 | 8,354 | py | Python | parcels/parcels/examples/example_peninsula.py | pdnooteboom/NA_forams | 789b45d8cc14225f31242c9c648f4f36c76d2fc4 | [
"MIT"
] | 1 | 2021-04-12T16:07:42.000Z | 2021-04-12T16:07:42.000Z | parcels/parcels/examples/example_peninsula.py | pdnooteboom/NA_forams | 789b45d8cc14225f31242c9c648f4f36c76d2fc4 | [
"MIT"
] | null | null | null | parcels/parcels/examples/example_peninsula.py | pdnooteboom/NA_forams | 789b45d8cc14225f31242c9c648f4f36c76d2fc4 | [
"MIT"
] | 1 | 2021-04-12T16:07:45.000Z | 2021-04-12T16:07:45.000Z | from parcels import FieldSet, ParticleSet, ScipyParticle, JITParticle, Variable
from parcels import AdvectionRK4, AdvectionEE, AdvectionRK45
from argparse import ArgumentParser
import numpy as np
import math # NOQA
import pytest
from datetime import timedelta as delta
ptype = {'scipy': ScipyParticle, 'jit': JITParti... | 43.061856 | 112 | 0.649988 | 1,141 | 8,354 | 4.703769 | 0.284838 | 0.003354 | 0.017887 | 0.003726 | 0.289361 | 0.260108 | 0.213527 | 0.200112 | 0.185579 | 0.185579 | 0 | 0.025677 | 0.221451 | 8,354 | 193 | 113 | 43.284974 | 0.799508 | 0.253172 | 0 | 0.189655 | 0 | 0 | 0.130968 | 0 | 0 | 0 | 0 | 0 | 0.034483 | 1 | 0.051724 | false | 0 | 0.077586 | 0 | 0.181034 | 0.034483 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90b6494c1b5e12c59216a90f809c6005fdb48a7e | 333 | py | Python | December Month Challenge/4KthfactorN.py | adesh-gadge/LeetCodePractice | 4b142c102e64ec93465af7f4193762e8fd2866ec | [
"MIT"
] | null | null | null | December Month Challenge/4KthfactorN.py | adesh-gadge/LeetCodePractice | 4b142c102e64ec93465af7f4193762e8fd2866ec | [
"MIT"
] | null | null | null | December Month Challenge/4KthfactorN.py | adesh-gadge/LeetCodePractice | 4b142c102e64ec93465af7f4193762e8fd2866ec | [
"MIT"
] | null | null | null | class Solution:
def kthFactor(self, n: int, k: int) -> int:
s1 = set()
s2 = set()
for i in range(1,int(n**0.5)+1):
if n%i ==0:
s1.add(i)
s2.add(int(n/i))
l = list(s1|s2)
l.sort()
if k > len(l):
return -1
... | 25.615385 | 47 | 0.381381 | 52 | 333 | 2.442308 | 0.480769 | 0.062992 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.071823 | 0.456456 | 333 | 13 | 48 | 25.615385 | 0.629834 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0 | 0 | 0.307692 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90b74a470408ddeb782e48bf20e39ffd4457275e | 1,755 | py | Python | dipy/utils/tests/test_arrfuncs.py | martcous/dipy | 6bff5655f03db19bde5aa951ffb91987983a889b | [
"MIT"
] | null | null | null | dipy/utils/tests/test_arrfuncs.py | martcous/dipy | 6bff5655f03db19bde5aa951ffb91987983a889b | [
"MIT"
] | null | null | null | dipy/utils/tests/test_arrfuncs.py | martcous/dipy | 6bff5655f03db19bde5aa951ffb91987983a889b | [
"MIT"
] | null | null | null | """ Testing array utilities
"""
import sys
import numpy as np
from ..arrfuncs import as_native_array, pinv, eigh
from numpy.testing import (assert_array_almost_equal,
assert_array_equal)
from nose.tools import assert_true, assert_false, assert_equal, assert_raises
NATIVE_ORDER = '<' if ... | 29.745763 | 77 | 0.616524 | 256 | 1,755 | 4.027344 | 0.234375 | 0.085354 | 0.098933 | 0.128031 | 0.168768 | 0.168768 | 0.112512 | 0.075655 | 0.075655 | 0.075655 | 0 | 0.022533 | 0.266667 | 1,755 | 58 | 78 | 30.258621 | 0.778555 | 0.017664 | 0 | 0.139535 | 0 | 0 | 0.01049 | 0 | 0 | 0 | 0 | 0 | 0.325581 | 1 | 0.069767 | false | 0 | 0.116279 | 0 | 0.186047 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90b7ba0980ae3d667866aa6f68a2acda5b4f0621 | 1,895 | py | Python | src/vtra/plot/rail_network_map.py | GFDRR/vietnam-transport | 71f6fc8cb7f1ca7bccb9a29d544869b442e68bfc | [
"MIT"
] | 3 | 2018-07-09T12:15:46.000Z | 2020-12-03T07:02:23.000Z | src/vtra/plot/rail_network_map.py | GFDRR/vietnam-transport | 71f6fc8cb7f1ca7bccb9a29d544869b442e68bfc | [
"MIT"
] | 1 | 2019-05-09T21:57:20.000Z | 2019-05-09T21:57:20.000Z | src/vtra/plot/rail_network_map.py | GFDRR/vietnam-transport | 71f6fc8cb7f1ca7bccb9a29d544869b442e68bfc | [
"MIT"
] | 2 | 2018-07-23T12:49:21.000Z | 2021-06-03T11:00:44.000Z | """Rail network map
"""
import os
import sys
from collections import OrderedDict
import cartopy.crs as ccrs
import cartopy.io.shapereader as shpreader
import matplotlib.pyplot as plt
from vtra.utils import *
def main():
config = load_config()
output_file = os.path.join(config['paths']['figures'], 'rail-map.p... | 28.712121 | 77 | 0.604749 | 239 | 1,895 | 4.598326 | 0.451883 | 0.050046 | 0.054595 | 0.038217 | 0.175614 | 0.175614 | 0.098271 | 0.098271 | 0.098271 | 0.098271 | 0 | 0.022064 | 0.258575 | 1,895 | 65 | 78 | 29.153846 | 0.760142 | 0.017414 | 0 | 0.038462 | 0 | 0 | 0.125135 | 0.024811 | 0 | 0 | 0 | 0 | 0 | 1 | 0.019231 | false | 0 | 0.134615 | 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 |
90b9151bc28db99fb5989633cea86f3faad362ff | 4,471 | py | Python | pydl/pydlspec2d/tests/test_spec1d.py | jhennawi/pydl | 3926aab6fd57c27e13d571156077de41343881c1 | [
"BSD-3-Clause"
] | null | null | null | pydl/pydlspec2d/tests/test_spec1d.py | jhennawi/pydl | 3926aab6fd57c27e13d571156077de41343881c1 | [
"BSD-3-Clause"
] | null | null | null | pydl/pydlspec2d/tests/test_spec1d.py | jhennawi/pydl | 3926aab6fd57c27e13d571156077de41343881c1 | [
"BSD-3-Clause"
] | null | null | null | # Licensed under a 3-clause BSD style license - see LICENSE.rst
# -*- coding: utf-8 -*-
import numpy as np
import os
from astropy.tests.helper import raises
from astropy.utils.data import get_pkg_data_filename
from .. import Pydlspec2dException
from ..spec1d import (HMF, findspec, spec_append, spec_path, template_metad... | 38.543103 | 79 | 0.47193 | 619 | 4,471 | 3.332795 | 0.20517 | 0.05332 | 0.066893 | 0.07174 | 0.341251 | 0.276781 | 0.275812 | 0.259816 | 0.247213 | 0.232186 | 0 | 0.101035 | 0.373518 | 4,471 | 115 | 80 | 38.878261 | 0.635487 | 0.062626 | 0 | 0.239583 | 0 | 0 | 0.04771 | 0.006713 | 0 | 0 | 0 | 0 | 0.197917 | 1 | 0.083333 | false | 0 | 0.0625 | 0 | 0.15625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90b979db4f0ee9199884997c5ba3cb24bb11e60e | 7,800 | py | Python | final/good_evaluate.py | wuyuMk7/CSCI8980 | 9cceffcac7975ee158655f3953e27b502fc383ea | [
"MIT"
] | null | null | null | final/good_evaluate.py | wuyuMk7/CSCI8980 | 9cceffcac7975ee158655f3953e27b502fc383ea | [
"MIT"
] | null | null | null | final/good_evaluate.py | wuyuMk7/CSCI8980 | 9cceffcac7975ee158655f3953e27b502fc383ea | [
"MIT"
] | null | null | null | from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import sys
import os
from absl import flags
import numpy as np
import skimage.io as io
import cv2
import matplotlib.pyplot as plt
# import tensorflow as tf
# from psbody.mesh import Mesh
from smpl_webuser.seria... | 34.513274 | 145 | 0.680385 | 1,160 | 7,800 | 4.324138 | 0.233621 | 0.021531 | 0.014354 | 0.015949 | 0.255782 | 0.195574 | 0.189195 | 0.173246 | 0.128389 | 0.113636 | 0 | 0.04259 | 0.184231 | 7,800 | 225 | 146 | 34.666667 | 0.745717 | 0.252179 | 0 | 0.101449 | 0 | 0 | 0.043606 | 0.026129 | 0 | 0 | 0 | 0 | 0 | 1 | 0.036232 | false | 0 | 0.166667 | 0.007246 | 0.231884 | 0.043478 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90ba1f62b3ac0c6dc5b223b48142b7f90d52dc27 | 4,958 | py | Python | textgenrnn/model.py | cosandr/textgenrnn | b2140c1a5704e866ff934fbfad4e14f3c827d439 | [
"MIT"
] | null | null | null | textgenrnn/model.py | cosandr/textgenrnn | b2140c1a5704e866ff934fbfad4e14f3c827d439 | [
"MIT"
] | null | null | null | textgenrnn/model.py | cosandr/textgenrnn | b2140c1a5704e866ff934fbfad4e14f3c827d439 | [
"MIT"
] | null | null | null | from keras.optimizers import RMSprop
from keras.layers import Input, Embedding, Dense, LSTM, Bidirectional, GRU
from keras.layers import concatenate, Reshape, SpatialDropout1D
from keras.models import Model
from keras import backend as K
from .AttentionWeightedAverage import AttentionWeightedAverage
def textgenrnn_mo... | 40.308943 | 103 | 0.583905 | 527 | 4,958 | 5.275142 | 0.235294 | 0.028058 | 0.028777 | 0.046043 | 0.456835 | 0.428777 | 0.380576 | 0.378417 | 0.378417 | 0.378417 | 0 | 0.007334 | 0.312424 | 4,958 | 122 | 104 | 40.639344 | 0.808155 | 0.018354 | 0 | 0.344444 | 0 | 0 | 0.095269 | 0.010417 | 0 | 0 | 0 | 0 | 0 | 1 | 0.033333 | false | 0 | 0.088889 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90c01fddb271dd8ab9c578d5f65f7244cd0b0416 | 2,824 | py | Python | Lab 2/utils/inference_utils.py | davedecoder/aws-deepcomposer-samples | 34f94a04436dc3fa0ded8c353e0f3260f1b3305e | [
"MIT-0"
] | 6 | 2021-10-11T12:39:01.000Z | 2022-03-27T16:01:41.000Z | notebooks/AWS DeepComposer/reinvent-labs/lab-2/utils/inference_utils.py | jesussantana/AWS-Machine-Learning-Foundations | 526eddb486fe8398cafcc30184c4ecce49df5816 | [
"MIT"
] | null | null | null | notebooks/AWS DeepComposer/reinvent-labs/lab-2/utils/inference_utils.py | jesussantana/AWS-Machine-Learning-Foundations | 526eddb486fe8398cafcc30184c4ecce49df5816 | [
"MIT"
] | 5 | 2020-05-16T13:06:52.000Z | 2020-11-14T11:56:26.000Z | # Copyright 2019 Amazon.com, Inc. or its affiliates. All Rights Reserved.
# 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
# us... | 46.295082 | 127 | 0.725921 | 384 | 2,824 | 5.132813 | 0.432292 | 0.064942 | 0.050736 | 0.056317 | 0.219685 | 0.174531 | 0.174531 | 0.113648 | 0.113648 | 0.113648 | 0 | 0.009167 | 0.150142 | 2,824 | 61 | 128 | 46.295082 | 0.812083 | 0.403329 | 0 | 0.148148 | 0 | 0 | 0.07563 | 0.05042 | 0 | 0 | 0 | 0 | 0 | 1 | 0.148148 | false | 0 | 0.111111 | 0 | 0.37037 | 0.037037 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90c1b22f3826d40d5a8ce3040c417f17a6d33b58 | 1,247 | py | Python | digraph/source/generator.py | addy1997/python-RRT | 93983e17f2e6e93ff79c8f04a86ce28718ba2779 | [
"MIT"
] | 11 | 2020-05-28T00:55:55.000Z | 2022-01-03T10:59:26.000Z | digraph/source/generator.py | addy1997/Internship-HTIC | 93983e17f2e6e93ff79c8f04a86ce28718ba2779 | [
"MIT"
] | 1 | 2020-10-19T16:20:30.000Z | 2021-03-22T19:01:14.000Z | digraph/source/generator.py | addy1997/Internship-HTIC | 93983e17f2e6e93ff79c8f04a86ce28718ba2779 | [
"MIT"
] | 2 | 2021-07-07T01:09:50.000Z | 2022-03-12T23:40:56.000Z | #!/usr/bin/env python
# coding: utf-8
# In[2]:
from time import time
import networkx as nx
from source.DiGraph import DiGraph
from source.model.Edge import Edge
def text_to_dict(filename):
in_file = open("filename", "r")
lines = in_file.read()
in_file.close()
open_bracket = lines.index("{")
... | 18.893939 | 51 | 0.572574 | 173 | 1,247 | 4 | 0.323699 | 0.060694 | 0.039017 | 0.060694 | 0.124277 | 0.072254 | 0.072254 | 0.072254 | 0 | 0 | 0 | 0.002336 | 0.313553 | 1,247 | 65 | 52 | 19.184615 | 0.806075 | 0.038492 | 0 | 0.102564 | 0 | 0 | 0.009236 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.128205 | false | 0 | 0.102564 | 0 | 0.358974 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90c5a20a145e1728ffe9af8247c9eff4f8b98279 | 3,476 | py | Python | data-structures-and-algorithms/examples/binary_tree_recursive.py | vinnyhoward/til | 8bb0055578220c4d83ddd12ac34bbb2fd3ae000e | [
"MIT"
] | null | null | null | data-structures-and-algorithms/examples/binary_tree_recursive.py | vinnyhoward/til | 8bb0055578220c4d83ddd12ac34bbb2fd3ae000e | [
"MIT"
] | 32 | 2020-07-16T07:11:35.000Z | 2022-02-27T19:01:03.000Z | data-structures-and-algorithms/examples/binary_tree_recursive.py | vinnyhoward/til | 8bb0055578220c4d83ddd12ac34bbb2fd3ae000e | [
"MIT"
] | null | null | null | class Node(object): # Similar to Linked List initial set-up
def __init__(self, value): # Constructor
self.value = value
self.left = None
self.right = None
class BinaryTree(object):
def __init__(self, root):
self.root = Node(root)
def print_tree(self, traversal_type):
... | 31.315315 | 114 | 0.585155 | 438 | 3,476 | 4.515982 | 0.150685 | 0.060667 | 0.051567 | 0.046512 | 0.525278 | 0.47725 | 0.32912 | 0.235592 | 0.190091 | 0.190091 | 0 | 0.026108 | 0.272727 | 3,476 | 110 | 115 | 31.6 | 0.756329 | 0.404776 | 0 | 0.166667 | 0 | 0 | 0.031722 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.125 | false | 0 | 0 | 0 | 0.3125 | 0.3125 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90c62d1dcdf46b749f960d31f0195049399228f2 | 12,647 | py | Python | parlai/mturk/webapp/run_mocks/mock_turk_manager.py | lizekang/ParlAI | 9e113105d1690deda0b372f6aeaf933ab58e3a72 | [
"BSD-3-Clause"
] | 1 | 2019-04-19T06:39:41.000Z | 2019-04-19T06:39:41.000Z | parlai/mturk/webapp/run_mocks/mock_turk_manager.py | lizekang/ParlAI | 9e113105d1690deda0b372f6aeaf933ab58e3a72 | [
"BSD-3-Clause"
] | null | null | null | parlai/mturk/webapp/run_mocks/mock_turk_manager.py | lizekang/ParlAI | 9e113105d1690deda0b372f6aeaf933ab58e3a72 | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
# Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree. An additional grant
# of patent rights can be found in the PATENTS file in the same directory.
im... | 39.276398 | 79 | 0.633826 | 1,536 | 12,647 | 5.00651 | 0.227214 | 0.024967 | 0.041873 | 0.010143 | 0.23446 | 0.162679 | 0.128088 | 0.094668 | 0.094668 | 0.042913 | 0 | 0.000663 | 0.284652 | 12,647 | 321 | 80 | 39.398754 | 0.849342 | 0.17348 | 0 | 0.122727 | 0 | 0 | 0.119563 | 0.010825 | 0 | 0 | 0 | 0 | 0 | 1 | 0.168182 | false | 0.040909 | 0.045455 | 0.013636 | 0.254545 | 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 |
90c6e79ecc4dd80005f6bae2d4343c17f1c96324 | 6,517 | py | Python | scripts/train_model.py | allenai/sledgehammer | 03982da9cd0c543a76832a903033c2d97dbfb113 | [
"Apache-2.0"
] | 47 | 2020-04-14T18:10:05.000Z | 2022-02-16T05:17:03.000Z | scripts/train_model.py | yardenTal1/sledgehammer | 842a48023451a81c83cdf29cdd7c601b1114a207 | [
"Apache-2.0"
] | 1 | 2020-05-04T19:35:06.000Z | 2020-06-08T02:53:53.000Z | scripts/train_model.py | yardenTal1/sledgehammer | 842a48023451a81c83cdf29cdd7c601b1114a207 | [
"Apache-2.0"
] | 9 | 2020-04-12T17:31:12.000Z | 2022-03-19T21:23:59.000Z | #!/usr/bin/env python
import sys
import os
import random
import copy
import subprocess
from argparse import ArgumentParser, ArgumentDefaultsHelpFormatter
# PYTHON_DIR="/".join(os.environ['CONDA_EXE'].split("/")[:-2])+'/envs/allennlp_0.8.4/bin/'
exit_threshold=0.9
def main():
parser = arg_parser()
a... | 45.894366 | 570 | 0.603038 | 847 | 6,517 | 4.42503 | 0.265643 | 0.048026 | 0.041622 | 0.014674 | 0.127801 | 0.09285 | 0.067236 | 0.067236 | 0.040021 | 0.040021 | 0 | 0.011611 | 0.246739 | 6,517 | 141 | 571 | 46.219858 | 0.751884 | 0.044499 | 0 | 0.105769 | 0 | 0.019231 | 0.281692 | 0.085907 | 0.009615 | 0 | 0 | 0.007092 | 0 | 1 | 0.028846 | false | 0 | 0.057692 | 0 | 0.125 | 0.009615 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90c797e8f34b8974fc670dfa1133ddb2a05d7a20 | 918 | py | Python | utils/gather_files.py | letsgo247/KFG | dd055fc8349a9ea95497d04ecc4b52c04e09debc | [
"MIT"
] | null | null | null | utils/gather_files.py | letsgo247/KFG | dd055fc8349a9ea95497d04ecc4b52c04e09debc | [
"MIT"
] | null | null | null | utils/gather_files.py | letsgo247/KFG | dd055fc8349a9ea95497d04ecc4b52c04e09debc | [
"MIT"
] | null | null | null | import os
import shutil
import time
def read_all_file(path):
output = os.listdir(path)
file_list = []
for i in output:
if os.path.isdir(path+"/"+i):
file_list.extend(read_all_file(path+"/"+i))
elif os.path.isfile(path+"/"+i):
file_list.append(path+"/"+i)
... | 27 | 65 | 0.604575 | 144 | 918 | 3.645833 | 0.395833 | 0.121905 | 0.062857 | 0.057143 | 0.209524 | 0.209524 | 0.209524 | 0.110476 | 0 | 0 | 0 | 0.004323 | 0.244009 | 918 | 34 | 66 | 27 | 0.752161 | 0.092593 | 0 | 0 | 0 | 0 | 0.114873 | 0.094317 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.130435 | 0 | 0.26087 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90c8c7759fc79bbde613e0b6f813d1b176c1ecaf | 902 | py | Python | 1.8.first-promise.py | senpl/course-promises | df4b64a02d0a7ab4bb372c0fae5e92c98830cd44 | [
"MIT"
] | 3 | 2017-02-05T03:17:13.000Z | 2019-03-11T19:44:34.000Z | 1.8.first-promise.py | senpl/course-promises | df4b64a02d0a7ab4bb372c0fae5e92c98830cd44 | [
"MIT"
] | null | null | null | 1.8.first-promise.py | senpl/course-promises | df4b64a02d0a7ab4bb372c0fae5e92c98830cd44 | [
"MIT"
] | 7 | 2016-06-19T02:24:09.000Z | 2018-09-11T01:32:02.000Z | import re
textinput = widget_inputs["text1"]
comments = []
def commentizer(new):
if new not in comments:
comments.append(new)
is_correct = False
result = re.match(".*window.*", textinput, flags=re.IGNORECASE)
if result:
is_correct = True
commentizer("You're right, but there's a little more to it... | 29.096774 | 115 | 0.701774 | 131 | 902 | 4.763359 | 0.473282 | 0.086538 | 0.0625 | 0.125 | 0.254808 | 0.254808 | 0.254808 | 0.254808 | 0.185897 | 0.185897 | 0 | 0.002667 | 0.168514 | 902 | 31 | 116 | 29.096774 | 0.829333 | 0 | 0 | 0.304348 | 0 | 0.043478 | 0.323367 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.043478 | false | 0 | 0.043478 | 0 | 0.086957 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90cb7a749d3451fbf2614d7b4cc6d0e278b4fb6b | 3,724 | py | Python | ansible/my_env/lib/python2.7/site-packages/ansible/modules/network/ftd/ftd_file_upload.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | 1 | 2019-04-16T21:23:15.000Z | 2019-04-16T21:23:15.000Z | ansible/my_env/lib/python2.7/site-packages/ansible/modules/network/ftd/ftd_file_upload.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | 5 | 2020-02-26T20:10:50.000Z | 2021-09-23T23:23:18.000Z | ansible/my_env/lib/python2.7/site-packages/ansible/modules/network/ftd/ftd_file_upload.py | otus-devops-2019-02/yyashkin_infra | 0cd0c003884155ac922e3e301305ac202de7028c | [
"MIT"
] | null | null | null | #!/usr/bin/python
# Copyright (c) 2018 Cisco and/or its affiliates.
#
# This file is part of Ansible
#
# Ansible is free software: you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation, either version 3 of the License, or
# (at your ... | 33.854545 | 117 | 0.705961 | 491 | 3,724 | 5.201629 | 0.393075 | 0.016445 | 0.018794 | 0.034456 | 0.1065 | 0.078309 | 0.031323 | 0 | 0 | 0 | 0 | 0.004054 | 0.205156 | 3,724 | 109 | 118 | 34.165138 | 0.858784 | 0.184748 | 0 | 0.144737 | 0 | 0 | 0.4334 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.026316 | false | 0 | 0.065789 | 0.013158 | 0.105263 | 0.013158 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90cbba8be9d213494b028b083d0b0f3629b1868d | 1,244 | py | Python | agent/indy_catalyst_agent/messaging/trustping/routes.py | nairobi222/indy-catalyst | dcbd80524ace7747ecfecd716ff932e9b571d69a | [
"Apache-2.0"
] | 2 | 2019-08-16T11:21:10.000Z | 2022-01-03T21:10:59.000Z | agent/indy_catalyst_agent/messaging/trustping/routes.py | nairobi222/indy-catalyst | dcbd80524ace7747ecfecd716ff932e9b571d69a | [
"Apache-2.0"
] | null | null | null | agent/indy_catalyst_agent/messaging/trustping/routes.py | nairobi222/indy-catalyst | dcbd80524ace7747ecfecd716ff932e9b571d69a | [
"Apache-2.0"
] | null | null | null | """Trust ping admin routes."""
from aiohttp import web
from aiohttp_apispec import docs
from ..connections.models.connection_record import ConnectionRecord
from .messages.ping import Ping
from ...storage.error import StorageNotFoundError
@docs(tags=["trustping"], summary="Send a trust ping to a connection")
async d... | 29.619048 | 84 | 0.730707 | 149 | 1,244 | 5.946309 | 0.436242 | 0.054176 | 0.022573 | 0.027088 | 0.051919 | 0.051919 | 0 | 0 | 0 | 0 | 0 | 0 | 0.169614 | 1,244 | 41 | 85 | 30.341463 | 0.857696 | 0.019293 | 0 | 0 | 0 | 0 | 0.105904 | 0.04686 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.238095 | 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 |
90d0a5da5e0a56dfea4ae7b895d09b65486f6dc4 | 1,861 | py | Python | folderikon/exceptions.py | demberto/FolderIkon | 62088b3e46266a6a53632a1e85bdb3d0a46e8cab | [
"MIT"
] | 1 | 2021-10-30T17:49:28.000Z | 2021-10-30T17:49:28.000Z | folderikon/exceptions.py | demberto/FolderIkon | 62088b3e46266a6a53632a1e85bdb3d0a46e8cab | [
"MIT"
] | null | null | null | folderikon/exceptions.py | demberto/FolderIkon | 62088b3e46266a6a53632a1e85bdb3d0a46e8cab | [
"MIT"
] | null | null | null | """Exception which are not actually thrown, only their docstrings are used."""
import colorama
import sys
__all__ = [
"Error",
"ParentIsNotAFolderError",
"InvalidURLError",
"ImageFormatNotSupportedError",
"ImageNotSpecifiedError",
"FolderIconAlreadyExistsError",
"DesktopIniError",
"exc... | 22.975309 | 108 | 0.652875 | 209 | 1,861 | 5.421053 | 0.421053 | 0.035305 | 0.038835 | 0.045013 | 0.063548 | 0.045896 | 0 | 0 | 0 | 0 | 0 | 0.000699 | 0.231596 | 1,861 | 80 | 109 | 23.2625 | 0.791608 | 0.183235 | 0 | 0.148936 | 0 | 0.021277 | 0.197439 | 0.082884 | 0 | 0 | 0 | 0 | 0 | 1 | 0.191489 | false | 0 | 0.042553 | 0.06383 | 0.531915 | 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 |
90d0ff663bec28d2147cf9908b2baeccc98682a7 | 1,224 | py | Python | quickbooks/objects/companycurrency.py | varunbheemaiah/python-quickbooks | f5459a07619ae220e24099c6e0c8e8db890bb66b | [
"MIT"
] | 234 | 2015-08-25T02:41:33.000Z | 2020-03-30T15:30:23.000Z | quickbooks/objects/companycurrency.py | varunbheemaiah/python-quickbooks | f5459a07619ae220e24099c6e0c8e8db890bb66b | [
"MIT"
] | 170 | 2015-09-12T07:02:32.000Z | 2020-03-20T13:34:34.000Z | quickbooks/objects/companycurrency.py | varunbheemaiah/python-quickbooks | f5459a07619ae220e24099c6e0c8e8db890bb66b | [
"MIT"
] | 142 | 2015-08-26T07:08:56.000Z | 2020-03-20T11:59:52.000Z | from six import python_2_unicode_compatible
from .base import QuickbooksManagedObject, QuickbooksTransactionEntity, Ref, CustomField, MetaData
@python_2_unicode_compatible
class CompanyCurrency(QuickbooksManagedObject, QuickbooksTransactionEntity):
"""
QBO definition: Applicable only for those companies that ... | 28.465116 | 107 | 0.688725 | 138 | 1,224 | 5.934783 | 0.492754 | 0.029304 | 0.034188 | 0.058608 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002172 | 0.247549 | 1,224 | 42 | 108 | 29.142857 | 0.887079 | 0.298203 | 0 | 0 | 0 | 0 | 0.040915 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.12 | false | 0 | 0.08 | 0.04 | 0.4 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90d18046bd7a28075eedb453f3f4d1aabe4f7e65 | 16,575 | py | Python | syft/execution/placeholder.py | juharris/PySyft | dbb70f24cc55a7dca032fb06f1a8662cb15092a9 | [
"Apache-2.0"
] | null | null | null | syft/execution/placeholder.py | juharris/PySyft | dbb70f24cc55a7dca032fb06f1a8662cb15092a9 | [
"Apache-2.0"
] | null | null | null | syft/execution/placeholder.py | juharris/PySyft | dbb70f24cc55a7dca032fb06f1a8662cb15092a9 | [
"Apache-2.0"
] | null | null | null | from itertools import zip_longest
import syft
from syft.generic.frameworks.hook import hook_args
from syft.generic.abstract.tensor import AbstractTensor
from syft.workers.abstract import AbstractWorker
from syft_proto.execution.v1.placeholder_pb2 import Placeholder as PlaceholderPB
class PlaceHolder(AbstractTensor):... | 37.247191 | 98 | 0.640422 | 1,805 | 16,575 | 5.755679 | 0.152909 | 0.027914 | 0.024256 | 0.02647 | 0.454615 | 0.403889 | 0.353836 | 0.315045 | 0.285494 | 0.263933 | 0 | 0.00067 | 0.279336 | 16,575 | 444 | 99 | 37.331081 | 0.869067 | 0.22721 | 0 | 0.227451 | 0 | 0 | 0.037737 | 0.003749 | 0 | 0 | 0 | 0.002252 | 0 | 1 | 0.105882 | false | 0 | 0.023529 | 0.003922 | 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 |
90d1a9736c8c20db26fd37eb2b021b1ef2da5b41 | 21,547 | py | Python | creativeflow/blender/render_main.py | idaho777/creativeflow | adf7a9e1cf70005560cfbf8064137fb1236bc574 | [
"MIT"
] | 53 | 2019-10-02T17:10:49.000Z | 2022-03-04T17:35:26.000Z | creativeflow/blender/render_main.py | idaho777/creativeflow | adf7a9e1cf70005560cfbf8064137fb1236bc574 | [
"MIT"
] | 1 | 2021-09-24T01:00:54.000Z | 2021-09-24T03:06:43.000Z | creativeflow/blender/render_main.py | idaho777/creativeflow | adf7a9e1cf70005560cfbf8064137fb1236bc574 | [
"MIT"
] | 6 | 2019-11-26T11:44:45.000Z | 2021-11-11T22:23:50.000Z | """
MAIN STYLING AND RENDERING FILE
Requirements:
------------------------------------------------------------------------------
IMPORTANT! This has only been tested with Blender 2.79 API. We have run this
on Linux and MacOS.
Execution:
------------------------------------------------------------------------------
Th... | 49.194064 | 108 | 0.58616 | 2,491 | 21,547 | 4.858691 | 0.178242 | 0.029001 | 0.05478 | 0.023796 | 0.380402 | 0.327605 | 0.285053 | 0.204991 | 0.182517 | 0.135999 | 0 | 0.005136 | 0.277069 | 21,547 | 437 | 109 | 49.306636 | 0.771843 | 0.151901 | 0 | 0.226006 | 0 | 0 | 0.319425 | 0.049783 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.003096 | 0.040248 | 0 | 0.040248 | 0.021672 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90d3d04333f570bee6151ef38e0d8057f563ad15 | 5,004 | py | Python | atlas/foundations_contrib/src/test/archiving/test_artifact_downloader.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 296 | 2020-03-16T19:55:00.000Z | 2022-01-10T19:46:05.000Z | atlas/foundations_contrib/src/test/archiving/test_artifact_downloader.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 57 | 2020-03-17T11:15:57.000Z | 2021-07-10T14:42:27.000Z | atlas/foundations_contrib/src/test/archiving/test_artifact_downloader.py | DeepLearnI/atlas | 8aca652d7e647b4e88530b93e265b536de7055ed | [
"Apache-2.0"
] | 38 | 2020-03-17T21:06:05.000Z | 2022-02-08T03:19:34.000Z |
from foundations_spec import *
from unittest.mock import call
class TestArtifactDownloader(Spec):
mock_archiver = let_mock()
make_directory_mock = let_patch_mock('os.makedirs')
@let
def source_directory(self):
return self.faker.uri_path()
@let
def download_directory(self):
... | 42.769231 | 146 | 0.689249 | 575 | 5,004 | 5.615652 | 0.2 | 0.100031 | 0.117064 | 0.039641 | 0.632394 | 0.590895 | 0.534841 | 0.493342 | 0.487148 | 0.398266 | 0 | 0 | 0.207234 | 5,004 | 117 | 147 | 42.769231 | 0.813965 | 0 | 0 | 0.255814 | 0 | 0 | 0.179257 | 0.051559 | 0 | 0 | 0 | 0 | 0.093023 | 1 | 0.151163 | false | 0 | 0.034884 | 0.034884 | 0.267442 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90d3d4041471f93cb0f82d38f927e393e1e21818 | 34,846 | py | Python | lib/python3.5/functional/test/test_functional.py | mklan/NX-Rom-Market | 33613d2177b63df9e0568038ffdf1dd91ad334d8 | [
"MIT"
] | 21 | 2021-01-10T16:44:55.000Z | 2022-03-03T13:15:07.000Z | lib/python3.5/functional/test/test_functional.py | mklan/NX-Rom-Market | 33613d2177b63df9e0568038ffdf1dd91ad334d8 | [
"MIT"
] | 3 | 2021-01-10T15:38:50.000Z | 2021-04-29T09:45:47.000Z | lib/python3.5/functional/test/test_functional.py | mklan/NX-Rom-Market | 33613d2177b63df9e0568038ffdf1dd91ad334d8 | [
"MIT"
] | 1 | 2021-01-10T15:07:38.000Z | 2021-01-10T15:07:38.000Z | # pylint: skip-file
import unittest
import array
from collections import namedtuple
from itertools import product
from functional.pipeline import Sequence, is_iterable, _wrap, extend
from functional.transformations import name
from functional import seq, pseq
Data = namedtuple("Data", "x y")
def pandas_is_installed... | 34.229862 | 88 | 0.544711 | 4,886 | 34,846 | 3.799427 | 0.059353 | 0.065234 | 0.014867 | 0.019392 | 0.667367 | 0.573906 | 0.487126 | 0.425124 | 0.369748 | 0.342006 | 0 | 0.047486 | 0.282041 | 34,846 | 1,017 | 89 | 34.26352 | 0.69454 | 0.002841 | 0 | 0.321678 | 0 | 0 | 0.023056 | 0 | 0 | 0 | 0 | 0 | 0.385781 | 1 | 0.138695 | false | 0.001166 | 0.01049 | 0.006993 | 0.165501 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90d42edecd2171b0bdded78b6fa56be73310676a | 9,412 | py | Python | tests/test_git_commit_one_file.py | mubashshirjamal/code | d9c7adf7efed8e9c1ab3ff8cdeb94e7eb1a45382 | [
"BSD-3-Clause"
] | 1,582 | 2015-01-05T02:41:44.000Z | 2022-03-30T20:03:22.000Z | tests/test_git_commit_one_file.py | mubashshirjamal/code | d9c7adf7efed8e9c1ab3ff8cdeb94e7eb1a45382 | [
"BSD-3-Clause"
] | 66 | 2015-01-23T07:58:04.000Z | 2021-11-12T02:23:27.000Z | tests/test_git_commit_one_file.py | mubashshirjamal/code | d9c7adf7efed8e9c1ab3ff8cdeb94e7eb1a45382 | [
"BSD-3-Clause"
] | 347 | 2015-01-05T07:47:07.000Z | 2021-09-20T21:22:32.000Z | # -*- coding: utf-8 -*-
import os
from vilya.models.project import CodeDoubanProject
from vilya.models import git
from tests.base import TestCase
from tests.utils import mkdtemp
from vilya.libs import gyt
from vilya.libs.permdir import get_repo_root
class TestGit(TestCase):
@property
def u(self):
... | 42.977169 | 95 | 0.595516 | 1,149 | 9,412 | 4.680592 | 0.140122 | 0.040164 | 0.045928 | 0.06006 | 0.695984 | 0.655448 | 0.614169 | 0.580327 | 0.574749 | 0.565638 | 0 | 0.022319 | 0.271674 | 9,412 | 218 | 96 | 43.174312 | 0.762217 | 0.018168 | 0 | 0.542105 | 0 | 0 | 0.20379 | 0 | 0 | 0 | 0 | 0.004587 | 0.173684 | 1 | 0.094737 | false | 0.005263 | 0.036842 | 0.015789 | 0.163158 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90d5aacb48382d69453f984a43223f2aa79a4272 | 11,704 | py | Python | py/desitarget/train/data_preparation/PredCountsFromQLF_ClassModule.py | echaussidon/desitarget | 1206380dac5155b9e7bf238c7cb187bc797d78a3 | [
"BSD-3-Clause"
] | 13 | 2016-02-02T00:26:21.000Z | 2022-01-14T07:31:59.000Z | py/desitarget/train/data_preparation/PredCountsFromQLF_ClassModule.py | echaussidon/desitarget | 1206380dac5155b9e7bf238c7cb187bc797d78a3 | [
"BSD-3-Clause"
] | 674 | 2015-09-15T15:02:06.000Z | 2022-02-23T18:39:02.000Z | py/desitarget/train/data_preparation/PredCountsFromQLF_ClassModule.py | echaussidon/desitarget | 1206380dac5155b9e7bf238c7cb187bc797d78a3 | [
"BSD-3-Clause"
] | 29 | 2015-06-09T13:51:48.000Z | 2021-06-05T06:03:18.000Z | #!/usr/bin/env python3
# -*- coding:utf-8 -*-
import re
import numpy as np
from scipy.interpolate import interp2d
from scipy.interpolate import interp1d
class PredCountsFromQLF_Class():
def __init__(self):
self.QLF_OK = False
self.EFF_OK = False
self.QLF_EFF_OK = False
# QLF
... | 38.5 | 114 | 0.605092 | 1,461 | 11,704 | 4.580424 | 0.093771 | 0.096234 | 0.05529 | 0.021518 | 0.476987 | 0.378811 | 0.308428 | 0.234011 | 0.15272 | 0.15272 | 0 | 0.024072 | 0.272386 | 11,704 | 303 | 115 | 38.627063 | 0.761743 | 0.049299 | 0 | 0.111675 | 0 | 0 | 0.006303 | 0 | 0 | 0 | 0 | 0 | 0.040609 | 1 | 0.050761 | false | 0 | 0.020305 | 0 | 0.106599 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90da83a21ced32c3bda1f81dfc548d05d09d8656 | 7,303 | py | Python | src/rto/optimization/solvers/de.py | vicrsp/rto | e9e0b87533ae6bc5e6ad228bb26172384802f9b7 | [
"MIT"
] | null | null | null | src/rto/optimization/solvers/de.py | vicrsp/rto | e9e0b87533ae6bc5e6ad228bb26172384802f9b7 | [
"MIT"
] | 17 | 2020-10-24T18:03:54.000Z | 2020-11-11T22:25:16.000Z | src/rto/optimization/solvers/de.py | vicrsp/rto | e9e0b87533ae6bc5e6ad228bb26172384802f9b7 | [
"MIT"
] | null | null | null | import numpy as np
class DifferentialEvolution:
def __init__(self, lb, ub, mutation_prob=0.5, pop_size=10, max_generations=100, de_type='rand/1/bin', callback=None):
self.lb = np.asarray(lb).reshape(1, -1)
self.ub = np.asarray(ub).reshape(1, -1)
self.population_size = pop_size
self... | 37.451282 | 121 | 0.546899 | 928 | 7,303 | 4.150862 | 0.161638 | 0.083593 | 0.046729 | 0.024922 | 0.190291 | 0.056075 | 0.056075 | 0.056075 | 0.024403 | 0.024403 | 0 | 0.016564 | 0.330412 | 7,303 | 194 | 122 | 37.64433 | 0.771166 | 0.069424 | 0 | 0.111842 | 0 | 0 | 0.018721 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.098684 | false | 0 | 0.006579 | 0.013158 | 0.210526 | 0.006579 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90db629f11aa0043b43ed88cb2e40c8fc351233e | 2,122 | py | Python | openmdao/matrices/csr_matrix.py | onodip/OpenMDAO | 96a99806fb3a547b881d2ad3da2733bca9978567 | [
"Apache-2.0"
] | null | null | null | openmdao/matrices/csr_matrix.py | onodip/OpenMDAO | 96a99806fb3a547b881d2ad3da2733bca9978567 | [
"Apache-2.0"
] | null | null | null | openmdao/matrices/csr_matrix.py | onodip/OpenMDAO | 96a99806fb3a547b881d2ad3da2733bca9978567 | [
"Apache-2.0"
] | null | null | null | """Define the CSRmatrix class."""
import numpy as np
from scipy.sparse import coo_matrix
from six import iteritems
from openmdao.matrices.coo_matrix import COOMatrix
class CSRMatrix(COOMatrix):
"""
Sparse matrix in Compressed Row Storage format.
"""
def _build(self, num_rows, num_cols):
"""... | 34.786885 | 83 | 0.60132 | 274 | 2,122 | 4.562044 | 0.441606 | 0.032 | 0.024 | 0.0336 | 0.0752 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004158 | 0.319981 | 2,122 | 60 | 84 | 35.366667 | 0.862093 | 0.352969 | 0 | 0 | 0 | 0 | 0.068396 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.04 | false | 0 | 0.16 | 0 | 0.24 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90df7ee581fbe2b55cfc18df37ae0baf763d0554 | 2,453 | py | Python | stacks/cognito_stack.py | adamdubey/devops-serverless-app-aws-cdk | 3e1ba3f9905c4f8469275e51448fb908b64a736a | [
"MIT"
] | null | null | null | stacks/cognito_stack.py | adamdubey/devops-serverless-app-aws-cdk | 3e1ba3f9905c4f8469275e51448fb908b64a736a | [
"MIT"
] | null | null | null | stacks/cognito_stack.py | adamdubey/devops-serverless-app-aws-cdk | 3e1ba3f9905c4f8469275e51448fb908b64a736a | [
"MIT"
] | null | null | null | from aws_cdk import (
aws_cognito as cognito,
aws_iam as iam,
aws_ssm as ssm,
core
)
class CognitoStack(core.Stack):
def __init__(self, scope: core.Construct, id: str, **kwargs) -> None:
super().__init__(scope, id, **kwargs)
prj_name = self.node.try_get_context("project_name")
... | 34.069444 | 77 | 0.538932 | 223 | 2,453 | 5.609865 | 0.345291 | 0.083133 | 0.043965 | 0.043165 | 0.183054 | 0.159073 | 0.052758 | 0 | 0 | 0 | 0 | 0.001928 | 0.365675 | 2,453 | 71 | 78 | 34.549296 | 0.802057 | 0 | 0 | 0.064516 | 0 | 0 | 0.104362 | 0.027721 | 0 | 0 | 0 | 0 | 0 | 1 | 0.016129 | false | 0.016129 | 0.016129 | 0 | 0.048387 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90dfa79ebe79555eaeba7589bba91bb7586ad592 | 3,570 | py | Python | cloudrail/knowledge/rules/aws/context_aware/s3_bucket_policy_vpc_endpoint_rule.py | my-devops-info/cloudrail-knowledge | b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e | [
"MIT"
] | null | null | null | cloudrail/knowledge/rules/aws/context_aware/s3_bucket_policy_vpc_endpoint_rule.py | my-devops-info/cloudrail-knowledge | b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e | [
"MIT"
] | null | null | null | cloudrail/knowledge/rules/aws/context_aware/s3_bucket_policy_vpc_endpoint_rule.py | my-devops-info/cloudrail-knowledge | b7c1bbd6fe1faeb79c105a01c0debbe24d031a0e | [
"MIT"
] | null | null | null | from typing import Dict, List
from cloudrail.knowledge.context.aws.iam.policy import S3Policy
from cloudrail.knowledge.context.aws.iam.policy_statement import StatementEffect
from cloudrail.knowledge.context.aws.s3.s3_bucket import S3Bucket
from cloudrail.knowledge.context.aws.ec2.vpc import Vpc
from cloudrail.knowled... | 51.73913 | 123 | 0.671989 | 437 | 3,570 | 5.20595 | 0.23341 | 0.051429 | 0.068571 | 0.046154 | 0.253626 | 0.152967 | 0.126593 | 0.02989 | 0 | 0 | 0 | 0.009701 | 0.2493 | 3,570 | 68 | 124 | 52.5 | 0.839179 | 0 | 0 | 0.054545 | 0 | 0 | 0.083473 | 0.036975 | 0 | 0 | 0 | 0 | 0 | 1 | 0.109091 | false | 0 | 0.181818 | 0.054545 | 0.436364 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90e1d06ca5448614066727df6e46a00f224d0fe4 | 36,937 | py | Python | run.py | Aisbergg/docker-image-arch-aur-makepkg | 26b7fed14838f52560c8fd4ba222c1c3d41ce00d | [
"MIT"
] | 7 | 2017-07-24T15:19:29.000Z | 2018-11-18T21:59:13.000Z | run.py | Aisbergg/docker-image-arch-aur-makepkg | 26b7fed14838f52560c8fd4ba222c1c3d41ce00d | [
"MIT"
] | 1 | 2018-06-12T10:30:23.000Z | 2018-06-12T15:54:01.000Z | run.py | Aisbergg/docker-image-arch-aur-makepkg | 26b7fed14838f52560c8fd4ba222c1c3d41ce00d | [
"MIT"
] | null | null | null | #!/usr/bin/python3
import argparse
import os
import sys
import re
import shutil
import tempfile
import pwd
import grp
import tarfile
import time
import glob
import urllib.request
from subprocess import Popen, PIPE
import aur
import pacman
local_source_dir = '/makepkg/local_src'
build_dir = os.path.abspath('/makepkg/b... | 35.861165 | 166 | 0.570133 | 4,219 | 36,937 | 4.812278 | 0.10666 | 0.012757 | 0.016549 | 0.016254 | 0.392898 | 0.333301 | 0.295129 | 0.26203 | 0.233315 | 0.204206 | 0 | 0.007272 | 0.341067 | 36,937 | 1,029 | 167 | 35.896016 | 0.826657 | 0.183556 | 0 | 0.287267 | 0 | 0.004658 | 0.106492 | 0.009226 | 0 | 0 | 0 | 0 | 0 | 1 | 0.049689 | false | 0.001553 | 0.023292 | 0 | 0.170807 | 0.051242 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90e34a12e8b9e4a3553e847fbec09a27e4f92d6a | 12,680 | py | Python | test/test_schemagen.py | hd23408/nist-schemagen | 258e453d6f3bdc763e48e2c32668c932f7ffcd40 | [
"MIT"
] | 1 | 2021-09-01T02:11:03.000Z | 2021-09-01T02:11:03.000Z | test/test_schemagen.py | hd23408/nist-schemagen | 258e453d6f3bdc763e48e2c32668c932f7ffcd40 | [
"MIT"
] | null | null | null | test/test_schemagen.py | hd23408/nist-schemagen | 258e453d6f3bdc763e48e2c32668c932f7ffcd40 | [
"MIT"
] | null | null | null | """Test methods for testing the schemagen package (specifically,
the SchemaGenerator class).
Typical usage example:
python -m unittest
or, to run a single test:
python -m unittest -k test__build_schema
"""
import unittest
import pathlib
import logging
import copy
import os
import pandas as pd
import numpy a... | 38.895706 | 146 | 0.711435 | 1,725 | 12,680 | 5.001739 | 0.169855 | 0.069541 | 0.012981 | 0.019471 | 0.574409 | 0.527701 | 0.453639 | 0.432429 | 0.400904 | 0.375637 | 0 | 0.02044 | 0.182019 | 12,680 | 325 | 147 | 39.015385 | 0.811415 | 0.323975 | 0 | 0.253886 | 0 | 0 | 0.092221 | 0.037634 | 0 | 0 | 0 | 0 | 0.15544 | 1 | 0.051813 | false | 0 | 0.051813 | 0 | 0.108808 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90e637b1e45a7f0c6d8c0bde7e551fe538035277 | 521 | py | Python | sunshinectf2020/speedrun/exploit_05.py | nhtri2003gmail/ctf-write-ups | 7e969c47027c39b614e10739ae3a953eed17dfa3 | [
"MIT"
] | 101 | 2020-03-09T17:40:47.000Z | 2022-03-31T23:26:55.000Z | sunshinectf2020/speedrun/exploit_05.py | nhtri2003gmail/ctf-write-ups | 7e969c47027c39b614e10739ae3a953eed17dfa3 | [
"MIT"
] | 1 | 2021-11-09T13:39:40.000Z | 2021-11-10T19:15:04.000Z | sunshinectf2020/speedrun/exploit_05.py | datajerk/ctf-write-ups | 1bc4ecc63a59de7d924c7214b1ce467801792da0 | [
"MIT"
] | 31 | 2020-05-27T12:29:50.000Z | 2022-03-31T23:23:32.000Z | #!/usr/bin/env python3
from pwn import *
binary = context.binary = ELF('./chall_05')
if not args.REMOTE:
p = process(binary.path)
else:
p = remote('chal.2020.sunshinectf.org', 30005)
p.sendlineafter('Race, life\'s greatest.\n','foobar')
p.recvuntil('Yes I\'m going to win: ')
_ = p.recvline().strip()
main = int(_... | 20.038462 | 53 | 0.677543 | 80 | 521 | 4.375 | 0.7 | 0.111429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.039823 | 0.132438 | 521 | 25 | 54 | 20.84 | 0.734513 | 0.040307 | 0 | 0 | 0 | 0 | 0.140281 | 0.0501 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.058824 | 0 | 0.058824 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90e6b33612e9aeabab01c1e1b9a83bc6ae67ea29 | 1,047 | py | Python | coderedcms/wagtail_flexible_forms/edit_handlers.py | mikiec84/coderedcms | d72de2118d777f23d9512dc348691d3d7b46d0e5 | [
"BSD-3-Clause"
] | 9 | 2019-01-03T16:57:27.000Z | 2020-07-08T07:17:35.000Z | coderedcms/wagtail_flexible_forms/edit_handlers.py | mikiec84/coderedcms | d72de2118d777f23d9512dc348691d3d7b46d0e5 | [
"BSD-3-Clause"
] | 1 | 2019-04-30T18:30:15.000Z | 2019-04-30T18:30:15.000Z | coderedcms/wagtail_flexible_forms/edit_handlers.py | mikiec84/coderedcms | d72de2118d777f23d9512dc348691d3d7b46d0e5 | [
"BSD-3-Clause"
] | 4 | 2019-06-04T21:05:02.000Z | 2020-04-20T00:39:52.000Z | from django.template.loader import render_to_string
from django.utils.safestring import mark_safe
from django.utils.translation import ugettext as _
from wagtail.admin.edit_handlers import EditHandler
class FormSubmissionsPanel(EditHandler):
template = "wagtailforms/edit_handlers/form_responses_panel.html"
... | 33.774194 | 78 | 0.669532 | 117 | 1,047 | 5.74359 | 0.470085 | 0.089286 | 0.041667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.238777 | 1,047 | 30 | 79 | 34.9 | 0.843162 | 0 | 0 | 0 | 0 | 0 | 0.107927 | 0.049666 | 0 | 0 | 0 | 0 | 0 | 1 | 0.086957 | false | 0 | 0.173913 | 0 | 0.478261 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90e6e714df05484ba942b1438ac0306e81a7602d | 2,189 | py | Python | python/elasticache/cache/helper/vpc.py | chejef/aws-cdk-examples-proserve | ea0b72475e2d28192a9088ac8ee8cb6498f6cb39 | [
"MIT-0"
] | 6 | 2021-11-10T21:42:53.000Z | 2022-03-17T13:22:07.000Z | python/elasticache/cache/helper/vpc.py | chejef/aws-cdk-examples-proserve | ea0b72475e2d28192a9088ac8ee8cb6498f6cb39 | [
"MIT-0"
] | 9 | 2021-11-11T14:33:35.000Z | 2022-02-14T15:25:41.000Z | python/elasticache/cache/helper/vpc.py | chejef/aws-cdk-examples-proserve | ea0b72475e2d28192a9088ac8ee8cb6498f6cb39 | [
"MIT-0"
] | 10 | 2021-11-13T17:32:06.000Z | 2022-01-17T18:13:02.000Z | from aws_cdk import (
core as cdk,
aws_elasticache as elasticache,
aws_ec2 as ec2,
)
from aws_cdk.core import Tags
from config import config_util as config
def get_vpc(scope: cdk.Construct) -> ec2.Vpc:
"""
Look up and return the none default vpc.
Args:
scope: the cdk construct.
... | 28.802632 | 110 | 0.677935 | 279 | 2,189 | 5.132616 | 0.265233 | 0.076816 | 0.035615 | 0.031425 | 0.152933 | 0.152933 | 0.047486 | 0 | 0 | 0 | 0 | 0.008363 | 0.235267 | 2,189 | 75 | 111 | 29.186667 | 0.847073 | 0.248058 | 0 | 0.051282 | 0 | 0 | 0.186856 | 0.084407 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.076923 | 0 | 0.230769 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90e79b451ed65372d3a6d5c89f828338b8e17cd2 | 5,101 | py | Python | src/pyscaffold/extensions/namespace.py | jayvdb/pyscaffold | c97ab5fd17ace3e1250741434f8728999359c8c2 | [
"MIT"
] | 2 | 2019-08-23T12:59:04.000Z | 2021-04-14T14:45:36.000Z | .eggs/PyScaffold-3.2.3-py3.7.egg/pyscaffold/extensions/namespace.py | nkapchenko/HW | 92f51d1ac4fc009e24350844172a1fb3b111ea27 | [
"MIT"
] | 19 | 2020-03-24T18:12:18.000Z | 2022-03-29T22:27:59.000Z | .eggs/PyScaffold-3.2.3-py3.7.egg/pyscaffold/extensions/namespace.py | nkapchenko/HW | 92f51d1ac4fc009e24350844172a1fb3b111ea27 | [
"MIT"
] | 1 | 2020-05-10T06:24:38.000Z | 2020-05-10T06:24:38.000Z | # -*- coding: utf-8 -*-
"""
Extension that adjust project file tree to include a namespace package.
This extension adds a **namespace** option to
:obj:`~pyscaffold.api.create_project` and provides correct values for the
options **root_pkg** and **namespace_pkg** to the following functions in the
action list.
"""
impo... | 32.909677 | 79 | 0.634581 | 613 | 5,101 | 5.174551 | 0.313214 | 0.034678 | 0.01261 | 0.030265 | 0.131778 | 0.103405 | 0.103405 | 0.103405 | 0.103405 | 0.103405 | 0 | 0.00161 | 0.269555 | 5,101 | 154 | 80 | 33.123377 | 0.849705 | 0.336601 | 0 | 0.044118 | 0 | 0 | 0.200505 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.102941 | false | 0.014706 | 0.102941 | 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 |
90e88281f8a4c42ecdd83892971dad7b739f5530 | 2,324 | py | Python | tests/solr_tests/tests/test_templatetags.py | speedplane/django-haystack | 4ace30aea6aa1b1708f79a5a9df20a00fa0b4d96 | [
"BSD-3-Clause"
] | 1 | 2017-10-12T14:25:06.000Z | 2017-10-12T14:25:06.000Z | tests/solr_tests/tests/templatetags.py | ericholscher/django-haystack | 1fde37afa4921c2121a95a4902f2012bbf837bf1 | [
"BSD-3-Clause"
] | 1 | 2016-08-03T18:01:43.000Z | 2016-08-03T18:03:00.000Z | tests/solr_tests/tests/templatetags.py | ericholscher/django-haystack | 1fde37afa4921c2121a95a4902f2012bbf837bf1 | [
"BSD-3-Clause"
] | 2 | 2015-08-11T17:00:42.000Z | 2021-01-04T08:39:33.000Z | # encoding: utf-8
from mock import call, patch
from django.template import Template, Context
from django.test import TestCase
from core.models import MockModel
@patch("haystack.templatetags.more_like_this.SearchQuerySet")
class MoreLikeThisTagTestCase(TestCase):
def render(self, template, context):
# Wh... | 41.5 | 173 | 0.645869 | 300 | 2,324 | 4.68 | 0.243333 | 0.091168 | 0.136752 | 0.032051 | 0.716524 | 0.667379 | 0.596154 | 0.596154 | 0.596154 | 0.596154 | 0 | 0.004482 | 0.231928 | 2,324 | 55 | 174 | 42.254545 | 0.782073 | 0.031411 | 0 | 0.378378 | 0 | 0.054054 | 0.22331 | 0.022687 | 0 | 0 | 0 | 0 | 0.162162 | 1 | 0.108108 | false | 0 | 0.108108 | 0 | 0.27027 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90eb7ca2d6e3944281a7dc60550b6a349ec9b59b | 9,232 | py | Python | fairseq/tasks/audio_pretraining.py | hwp/fairseq | f5cf2278d10a2aa8ee5759ce924d23aef6f82e6f | [
"MIT"
] | 4 | 2021-09-06T06:40:41.000Z | 2022-02-14T09:59:37.000Z | fairseq/tasks/audio_pretraining.py | hwp/fairseq | f5cf2278d10a2aa8ee5759ce924d23aef6f82e6f | [
"MIT"
] | null | null | null | fairseq/tasks/audio_pretraining.py | hwp/fairseq | f5cf2278d10a2aa8ee5759ce924d23aef6f82e6f | [
"MIT"
] | 1 | 2021-07-12T12:34:47.000Z | 2021-07-12T12:34:47.000Z | # Copyright (c) 2017-present, Facebook, Inc.
# All rights reserved.
#
# This source code is licensed under the license found in the LICENSE file in
# the root directory of this source tree. An additional grant of patent rights
# can be found in the PATENTS file in the same directory.
import editdistance
import os
impo... | 36.634921 | 96 | 0.604311 | 1,101 | 9,232 | 4.831971 | 0.230699 | 0.027068 | 0.02688 | 0.014098 | 0.179135 | 0.132895 | 0.087406 | 0.051128 | 0.011654 | 0 | 0 | 0.004459 | 0.295602 | 9,232 | 251 | 97 | 36.780876 | 0.813624 | 0.089471 | 0 | 0.108247 | 0 | 0 | 0.135171 | 0.008305 | 0 | 0 | 0 | 0 | 0.005155 | 1 | 0.07732 | false | 0 | 0.046392 | 0.015464 | 0.185567 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90eb98699fec58dcce70daf5b1617e8fd2c20143 | 20,440 | py | Python | caffe-int8-convert-tool-dev.py | daquexian/caffe-int8-convert-tools | 07bbb40e2b39493a0777f2be564114721a99c501 | [
"BSD-3-Clause"
] | null | null | null | caffe-int8-convert-tool-dev.py | daquexian/caffe-int8-convert-tools | 07bbb40e2b39493a0777f2be564114721a99c501 | [
"BSD-3-Clause"
] | null | null | null | caffe-int8-convert-tool-dev.py | daquexian/caffe-int8-convert-tools | 07bbb40e2b39493a0777f2be564114721a99c501 | [
"BSD-3-Clause"
] | 1 | 2021-04-22T08:55:38.000Z | 2021-04-22T08:55:38.000Z | # -*- coding: utf-8 -*-
# SenseNets is pleased to support the open source community by making caffe-int8-convert-tool available.
#
# Copyright (C) 2018 SenseNets Technology Ltd. All rights reserved.
#
# Licensed under the BSD 3-Clause License (the "License"); you may not use this file except
# in compliance with the L... | 35.241379 | 201 | 0.623092 | 2,590 | 20,440 | 4.749035 | 0.160232 | 0.018211 | 0.018537 | 0.017561 | 0.34813 | 0.300488 | 0.26561 | 0.240976 | 0.214228 | 0.177724 | 0 | 0.016023 | 0.27637 | 20,440 | 579 | 202 | 35.302245 | 0.815225 | 0.24271 | 0 | 0.289474 | 0 | 0.009868 | 0.085484 | 0.006135 | 0 | 0 | 0 | 0 | 0 | 1 | 0.072368 | false | 0.003289 | 0.039474 | 0 | 0.144737 | 0.069079 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90ee4b4c80b7c7885dba22f095e28a087fcc1818 | 5,534 | py | Python | pytorch_translate/test/test_data.py | dpacgopinath/translate-1 | 032246359eab512bcc76208d357eac71e6017eca | [
"BSD-3-Clause"
] | null | null | null | pytorch_translate/test/test_data.py | dpacgopinath/translate-1 | 032246359eab512bcc76208d357eac71e6017eca | [
"BSD-3-Clause"
] | null | null | null | pytorch_translate/test/test_data.py | dpacgopinath/translate-1 | 032246359eab512bcc76208d357eac71e6017eca | [
"BSD-3-Clause"
] | null | null | null | #!/usr/bin/env python3
import unittest
import os
from pytorch_translate import data
from pytorch_translate import dictionary
from pytorch_translate.test import utils as test_utils
class TestInMemoryNumpyDataset(unittest.TestCase):
def setUp(self):
self.src_txt, self.trg_txt = test_utils.create_test_text... | 39.248227 | 104 | 0.568666 | 624 | 5,534 | 4.810897 | 0.157051 | 0.041972 | 0.069287 | 0.043971 | 0.615923 | 0.579947 | 0.516656 | 0.466689 | 0.421386 | 0.406729 | 0 | 0.055961 | 0.331587 | 5,534 | 140 | 105 | 39.528571 | 0.75561 | 0.013553 | 0 | 0.348837 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.116279 | 1 | 0.046512 | false | 0 | 0.03876 | 0 | 0.093023 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90ee60eea24c42a26b118fc9be18f7e7dc1fe829 | 2,877 | py | Python | CompareWHDR.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 171 | 2020-06-28T04:03:23.000Z | 2022-03-30T08:50:20.000Z | CompareWHDR.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 9 | 2020-08-20T08:56:38.000Z | 2022-01-19T19:53:51.000Z | CompareWHDR.py | Z7Gao/InverseRenderingOfIndoorScene | f245d20dcbe05b1de766c2e53af79fd489f58d74 | [
"MIT"
] | 19 | 2020-06-23T11:49:03.000Z | 2022-01-22T01:49:26.000Z | import numpy as np
import sys
import json
import glob
import os.path as osp
import cv2
def compute_whdr(reflectance, judgements, delta=0.1):
points = judgements['intrinsic_points']
comparisons = judgements['intrinsic_comparisons']
id_to_points = {p['id']: p for p in points}
rows, cols = reflectance.sha... | 30.284211 | 132 | 0.601321 | 401 | 2,877 | 4.117207 | 0.299252 | 0.012114 | 0.021199 | 0.019988 | 0.115082 | 0.055724 | 0.032707 | 0 | 0 | 0 | 0 | 0.043643 | 0.267292 | 2,877 | 94 | 133 | 30.606383 | 0.739564 | 0.088982 | 0 | 0.130435 | 0 | 0 | 0.102525 | 0.043229 | 0 | 0 | 0 | 0 | 0 | 1 | 0.014493 | false | 0 | 0.086957 | 0 | 0.130435 | 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 |
90f0c3ec3d38a98bb3fcc92188fa52c0d41d3751 | 649 | py | Python | UnicodeTraps.py | loamhoof/sublime-plugins-dump | 57518b19a96e090670e2592438688c600a5b875a | [
"MIT"
] | null | null | null | UnicodeTraps.py | loamhoof/sublime-plugins-dump | 57518b19a96e090670e2592438688c600a5b875a | [
"MIT"
] | null | null | null | UnicodeTraps.py | loamhoof/sublime-plugins-dump | 57518b19a96e090670e2592438688c600a5b875a | [
"MIT"
] | null | null | null | import re
from sublime import Region
import sublime_plugin
REPLACEMENTS = {
'\u00a0': ' ', # no-break space
'\u200b': '', # zero-width space
}
class UnicodeTrapsListener(sublime_plugin.EventListener):
@staticmethod
def on_pre_save(view):
view.run_command('unicode_traps')
class UnicodeTrap... | 24.037037 | 87 | 0.66718 | 77 | 649 | 5.506494 | 0.623377 | 0.091981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013333 | 0.191063 | 649 | 26 | 88 | 24.961538 | 0.794286 | 0.047766 | 0 | 0 | 0 | 0 | 0.04878 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.117647 | false | 0 | 0.176471 | 0 | 0.411765 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90f11b4939ee595b17ff6883b04027fa19911aa3 | 2,743 | py | Python | simba/ROI_multiply.py | KonradDanielewski/simba | d7a448222e33dcb9880b65c14b5b676933cc6fd7 | [
"MIT"
] | 172 | 2019-12-18T22:19:42.000Z | 2022-03-29T01:58:25.000Z | simba/ROI_multiply.py | KonradDanielewski/simba | d7a448222e33dcb9880b65c14b5b676933cc6fd7 | [
"MIT"
] | 165 | 2020-01-10T19:05:16.000Z | 2022-03-31T16:08:36.000Z | simba/ROI_multiply.py | KonradDanielewski/simba | d7a448222e33dcb9880b65c14b5b676933cc6fd7 | [
"MIT"
] | 80 | 2019-12-20T00:01:43.000Z | 2022-03-29T16:20:10.000Z | import glob
import pandas as pd
from configparser import ConfigParser
import os
from simba.drop_bp_cords import *
def multiplyFreeHand(inifile, currVid):
_, CurrVidName, ext = get_fn_ext(currVid)
config = ConfigParser()
configFile = str(inifile)
config.read(configFile)
projectPath = conf... | 55.979592 | 131 | 0.647466 | 276 | 2,743 | 6.365942 | 0.387681 | 0.031873 | 0.015367 | 0.046101 | 0.14115 | 0.064883 | 0.064883 | 0 | 0 | 0 | 0 | 0.002383 | 0.235144 | 2,743 | 48 | 132 | 57.145833 | 0.835081 | 0 | 0 | 0 | 0 | 0.021739 | 0.155473 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.021739 | false | 0 | 0.108696 | 0 | 0.130435 | 0.086957 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90f1959d5f3a4e728e1f0156fde3bb7e15e63fa1 | 689 | py | Python | src/utils/ccxt/fetch_order_book.py | YasunoriMATSUOKA/crypto-asset-easy-management | 5c33fd8612b843ed39f0ec1fd84efa83f3967e42 | [
"MIT"
] | null | null | null | src/utils/ccxt/fetch_order_book.py | YasunoriMATSUOKA/crypto-asset-easy-management | 5c33fd8612b843ed39f0ec1fd84efa83f3967e42 | [
"MIT"
] | 2 | 2020-12-05T09:31:01.000Z | 2020-12-05T12:28:33.000Z | src/utils/ccxt/fetch_order_book.py | YasunoriMATSUOKA/crypto-asset-easy-management | 5c33fd8612b843ed39f0ec1fd84efa83f3967e42 | [
"MIT"
] | null | null | null | from logging import getLogger
import traceback
from .get_public_exchange import get_public_exchange
logger = getLogger("__main__").getChild(__name__)
def fetch_order_book(exchange_name, pair):
logger.debug("start")
logger.debug(exchange_name)
logger.debug(pair)
exchange = get_public_exchange(exchange... | 27.56 | 52 | 0.70537 | 84 | 689 | 5.47619 | 0.392857 | 0.167391 | 0.11087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198839 | 689 | 24 | 53 | 28.708333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0.047896 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.047619 | false | 0 | 0.142857 | 0 | 0.238095 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90f2e833a7f803e0952b3382cebde491d441fdf8 | 20,080 | py | Python | smoke-classifier/detect_fire.py | agnes-yang/firecam | 9282d1b5b83be3abf6a137f7a72c090a9eca05f6 | [
"Apache-2.0"
] | 10 | 2019-12-19T02:37:33.000Z | 2021-12-07T04:47:08.000Z | smoke-classifier/detect_fire.py | agnes-yang/firecam | 9282d1b5b83be3abf6a137f7a72c090a9eca05f6 | [
"Apache-2.0"
] | 5 | 2019-10-27T23:22:52.000Z | 2020-02-13T23:08:15.000Z | smoke-classifier/detect_fire.py | agnes-yang/firecam | 9282d1b5b83be3abf6a137f7a72c090a9eca05f6 | [
"Apache-2.0"
] | 13 | 2019-09-24T18:53:24.000Z | 2021-07-16T05:57:18.000Z | # Copyright 2018 The Fuego Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in wr... | 42.008368 | 165 | 0.68745 | 2,210 | 20,080 | 6.211765 | 0.260633 | 0.013258 | 0.00947 | 0.005245 | 0.172713 | 0.141608 | 0.11655 | 0.101253 | 0.071897 | 0.071897 | 0 | 0.005998 | 0.219572 | 20,080 | 477 | 166 | 42.096436 | 0.870015 | 0.319572 | 0 | 0.089219 | 0 | 0 | 0.122993 | 0 | 0 | 0 | 0 | 0 | 0.011152 | 1 | 0.052045 | false | 0.003717 | 0.096654 | 0 | 0.211896 | 0.003717 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90f4632c21bed176e470218adb359ed714cf422b | 8,165 | py | Python | torch_agents/cogment_verse_torch_agents/third_party/hive/mlp.py | kharyal/cogment-verse | 12bcb855bc742e3ec4ed11c40a1b475e95a32515 | [
"Apache-2.0"
] | null | null | null | torch_agents/cogment_verse_torch_agents/third_party/hive/mlp.py | kharyal/cogment-verse | 12bcb855bc742e3ec4ed11c40a1b475e95a32515 | [
"Apache-2.0"
] | null | null | null | torch_agents/cogment_verse_torch_agents/third_party/hive/mlp.py | kharyal/cogment-verse | 12bcb855bc742e3ec4ed11c40a1b475e95a32515 | [
"Apache-2.0"
] | null | null | null | import math
import numpy as np
import torch
import torch.nn.functional as F
from torch import nn
class SimpleMLP(nn.Module):
"""Simple MLP function approximator for Q-Learning."""
def __init__(self, in_dim, out_dim, hidden_units=256, num_hidden_layers=1):
super().__init__()
self.input_layer... | 32.145669 | 116 | 0.54158 | 968 | 8,165 | 4.247934 | 0.131198 | 0.080253 | 0.076605 | 0.07393 | 0.611138 | 0.565661 | 0.510214 | 0.445525 | 0.398346 | 0.34679 | 0 | 0.008792 | 0.359216 | 8,165 | 253 | 117 | 32.272727 | 0.777141 | 0.020208 | 0 | 0.473171 | 0 | 0 | 0.003347 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.063415 | false | 0 | 0.02439 | 0 | 0.146341 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
90f60f7f71e4d156824089d61cc0fca325d7afa6 | 2,981 | py | Python | models/dsd/bicubic.py | VinAIResearch/blur-kernel-space-exploring | 619c9b3b33961ef9311399d7cbbf92050a0c6b51 | [
"Apache-2.0"
] | 93 | 2021-05-11T08:35:24.000Z | 2022-03-30T10:41:14.000Z | models/dsd/bicubic.py | abcdef2000/blur-kernel-space-exploring | 56f707c6fa6e3c4a570f7816b0d60cd45441de0e | [
"Apache-2.0"
] | 14 | 2021-05-20T05:05:19.000Z | 2022-01-22T22:09:36.000Z | models/dsd/bicubic.py | abcdef2000/blur-kernel-space-exploring | 56f707c6fa6e3c4a570f7816b0d60cd45441de0e | [
"Apache-2.0"
] | 29 | 2021-05-13T04:16:56.000Z | 2022-03-03T02:07:24.000Z | import torch
from torch import nn
from torch.nn import functional as F
class BicubicDownSample(nn.Module):
def bicubic_kernel(self, x, a=-0.50):
"""
This equation is exactly copied from the website below:
https://clouard.users.greyc.fr/Pantheon/experiments/rescaling/index-en.html#bicubic
... | 38.714286 | 113 | 0.570949 | 443 | 2,981 | 3.726862 | 0.284424 | 0.021805 | 0.026651 | 0.029073 | 0.237432 | 0.219261 | 0.136887 | 0.136887 | 0.055724 | 0.055724 | 0 | 0.045841 | 0.290171 | 2,981 | 76 | 114 | 39.223684 | 0.734405 | 0.115733 | 0 | 0.140351 | 0 | 0 | 0.026549 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.052632 | false | 0 | 0.052632 | 0 | 0.210526 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |