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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6118e7fda91bde938dee6b698fa6a4aabd161955
| 203
|
py
|
Python
|
BOJ_Solved/BOJ-16199.py
|
CodingLeeSeungHoon/Python_Algorithm_TeamNote
|
1e92986999b45aa9951e12e67b23062e410e9b36
|
[
"MIT"
] | 7
|
2021-11-19T14:50:59.000Z
|
2022-02-25T20:00:20.000Z
|
BOJ_Solved/BOJ-16199.py
|
CodingLeeSeungHoon/Python_Algorithm_TeamNote
|
1e92986999b45aa9951e12e67b23062e410e9b36
|
[
"MIT"
] | null | null | null |
BOJ_Solved/BOJ-16199.py
|
CodingLeeSeungHoon/Python_Algorithm_TeamNote
|
1e92986999b45aa9951e12e67b23062e410e9b36
|
[
"MIT"
] | null | null | null |
"""
백준 16199번 : 나이 계산하기
"""
by, bm, bd = map(int, input().split())
ny, nm, nd = map(int, input().split())
print(ny-by if nm > bm or (nm == bm and nd >= bd) else ny - by - 1)
print(ny-by+1)
print(ny-by)
| 20.3
| 67
| 0.561576
| 41
| 203
| 2.780488
| 0.487805
| 0.140351
| 0.236842
| 0.280702
| 0.210526
| 0.210526
| 0
| 0
| 0
| 0
| 0
| 0.04321
| 0.20197
| 203
| 10
| 68
| 20.3
| 0.660494
| 0.093596
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0
| 0
| 0
| 0.6
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
b6403b5b551eb96f0589f21350fa46bb652f4f67
| 195
|
py
|
Python
|
modules/sojobs/punctuation.py
|
susumuasaga/Python-Web-Scraping-Cookbook
|
dcb6241c5ead11070648b9c829b18f4e0d90f464
|
[
"MIT"
] | 1
|
2019-09-29T13:58:54.000Z
|
2019-09-29T13:58:54.000Z
|
modules/sojobs/punctuation.py
|
MindaugasVaitkus2/Python-Web-Scraping-Cookbook
|
dcb6241c5ead11070648b9c829b18f4e0d90f464
|
[
"MIT"
] | null | null | null |
modules/sojobs/punctuation.py
|
MindaugasVaitkus2/Python-Web-Scraping-Cookbook
|
dcb6241c5ead11070648b9c829b18f4e0d90f464
|
[
"MIT"
] | null | null | null |
def remove_punctuation(tokens):
punctuation = [':', ',', '.', "``", "''", '(', ')', '-', '!', '#', '&', '/', '\\', ';', '?']
return [token for token in tokens if token not in punctuation]
| 65
| 96
| 0.451282
| 16
| 195
| 5.4375
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189744
| 195
| 3
| 97
| 65
| 0.550633
| 0
| 0
| 0
| 0
| 0
| 0.091837
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b671b370e758658de3f461fdb7bc3a07e8a24613
| 159
|
py
|
Python
|
python/config.py
|
11bio/examples
|
5d5c243085f2cfb23379ef85e7805d673187d896
|
[
"MIT"
] | null | null | null |
python/config.py
|
11bio/examples
|
5d5c243085f2cfb23379ef85e7805d673187d896
|
[
"MIT"
] | null | null | null |
python/config.py
|
11bio/examples
|
5d5c243085f2cfb23379ef85e7805d673187d896
|
[
"MIT"
] | null | null | null |
class Config():
API_KEY = '9b680a8b-22d4-4069-b0e6-f6cc97cd9d71'
API_URL = 'https://api.demo.11b.io'
API_ACCOUNT = 'A00-000-030'
config = Config()
| 26.5
| 52
| 0.666667
| 23
| 159
| 4.478261
| 0.782609
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.225564
| 0.163522
| 159
| 6
| 53
| 26.5
| 0.548872
| 0
| 0
| 0
| 0
| 0
| 0.4375
| 0.225
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
b6b3001be5012435124071b4f814710eb2bbc6a3
| 169
|
py
|
Python
|
preprocessing/serie a/src/top-scorers.py
|
adrianomundo/football-data-visualization
|
69725d96a3b7c8225703cd7837b8668437b1fe49
|
[
"Apache-2.0"
] | null | null | null |
preprocessing/serie a/src/top-scorers.py
|
adrianomundo/football-data-visualization
|
69725d96a3b7c8225703cd7837b8668437b1fe49
|
[
"Apache-2.0"
] | 4
|
2021-06-08T22:46:18.000Z
|
2022-03-12T00:51:33.000Z
|
preprocessing/serie a/src/top-scorers.py
|
adrianomundo/football-data-visualization
|
69725d96a3b7c8225703cd7837b8668437b1fe49
|
[
"Apache-2.0"
] | null | null | null |
import requests
import json
from retriever_library import get_top_scoreres
import time
import pandas as pd
import numpy as np
data_path = "../data/"
get_top_scoreres()
| 16.9
| 46
| 0.810651
| 27
| 169
| 4.851852
| 0.62963
| 0.091603
| 0.21374
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.136095
| 169
| 10
| 47
| 16.9
| 0.89726
| 0
| 0
| 0
| 0
| 0
| 0.047059
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
fcd5d2da6a3ebed8826439410d9e468e44f33588
| 586
|
py
|
Python
|
sympycore/calculus/tests/test_pickle.py
|
radovankavicky/pymaclab
|
21da758f64ed0b62969c9289576f677e977cfd98
|
[
"Apache-2.0"
] | 96
|
2015-01-25T05:59:56.000Z
|
2021-12-29T14:05:22.000Z
|
sympycore/calculus/tests/test_pickle.py
|
1zinnur9/pymaclab
|
21da758f64ed0b62969c9289576f677e977cfd98
|
[
"Apache-2.0"
] | 3
|
2015-12-17T19:25:46.000Z
|
2018-06-19T07:05:20.000Z
|
sympycore/calculus/tests/test_pickle.py
|
1zinnur9/pymaclab
|
21da758f64ed0b62969c9289576f677e977cfd98
|
[
"Apache-2.0"
] | 36
|
2016-01-31T15:22:01.000Z
|
2021-03-29T07:03:07.000Z
|
import os
import tempfile
import pickle
from sympycore import *
def pickler(obj):
fn = tempfile.mktemp()
f = open(fn, 'wb')
pickle.dump(obj, f)
f.close()
f = open(fn, 'rb')
obj2 = pickle.load(f)
f.close()
os.remove(fn)
return obj2
def test_pickle():
x, y, z = map(Symbol,'xyz')
obj = x+y
assert obj==pickler(obj),`obj, pickler(obj)`
obj = x+y/3
assert obj==pickler(obj)
obj = x+0.5*y
assert obj==pickler(obj)
obj = x+Sin(y)
assert obj==pickler(obj)
obj = x+Log(y)
assert obj==pickler(obj)
| 14.65
| 48
| 0.566553
| 92
| 586
| 3.597826
| 0.369565
| 0.21148
| 0.23565
| 0.287009
| 0.386707
| 0.283988
| 0.145015
| 0
| 0
| 0
| 0
| 0.01182
| 0.278157
| 586
| 39
| 49
| 15.025641
| 0.770686
| 0
| 0
| 0.230769
| 0
| 0
| 0.011966
| 0
| 0
| 0
| 0
| 0
| 0.192308
| 0
| null | null | 0
| 0.153846
| null | null | 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
fcddcbb822bd6087018aec1bdf2e74582aed3a37
| 557
|
py
|
Python
|
tests/unit/baskerville_tests/helpers/utils.py
|
equalitie/baskerville
|
433551d03aee85d5c983ff6b25b388155b54190d
|
[
"CC-BY-4.0"
] | 25
|
2020-05-19T11:20:47.000Z
|
2021-09-20T03:15:28.000Z
|
tests/unit/baskerville_tests/helpers/utils.py
|
mkaranasou/baskerville
|
433551d03aee85d5c983ff6b25b388155b54190d
|
[
"CC-BY-4.0"
] | 29
|
2020-05-26T13:21:48.000Z
|
2021-09-21T06:52:28.000Z
|
tests/unit/baskerville_tests/helpers/utils.py
|
mkaranasou/baskerville
|
433551d03aee85d5c983ff6b25b388155b54190d
|
[
"CC-BY-4.0"
] | 4
|
2020-06-11T07:00:16.000Z
|
2021-05-07T09:10:36.000Z
|
# Copyright (c) 2020, eQualit.ie 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.
import os
def get_default_data_path():
"""
Returns the absolute path to the data folder
:return:
"""
return f'{os.path.dirname(os.path.realpath(__file__))}/../data'
def get_default_log_path():
"""
Returns the absolute path to the log folder
:return:
"""
return f'{os.path.dirname(os.path.realpath(__file__))}/../logs'
| 22.28
| 71
| 0.67684
| 82
| 557
| 4.426829
| 0.52439
| 0.066116
| 0.071625
| 0.121212
| 0.446281
| 0.446281
| 0.446281
| 0.275482
| 0.275482
| 0.275482
| 0
| 0.009009
| 0.202873
| 557
| 24
| 72
| 23.208333
| 0.808559
| 0.520646
| 0
| 0
| 0
| 0
| 0.473214
| 0.473214
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| true
| 0
| 0.2
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
1e11d715ba96d65fac188a1a53eecd4e3e65e8ae
| 2,654
|
py
|
Python
|
blog/migrations/0002_auto_20171010_0451.py
|
OleMissSquad/MyBlog
|
72902a00d134e662834ab76f75f240a0616265cf
|
[
"MIT"
] | null | null | null |
blog/migrations/0002_auto_20171010_0451.py
|
OleMissSquad/MyBlog
|
72902a00d134e662834ab76f75f240a0616265cf
|
[
"MIT"
] | 11
|
2017-09-17T16:53:23.000Z
|
2017-10-06T13:47:14.000Z
|
blog/migrations/0002_auto_20171010_0451.py
|
khoa102/MyBlog
|
72902a00d134e662834ab76f75f240a0616265cf
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
# Generated by Django 1.11.6 on 2017-10-10 04:51
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('blog', '0001_initial'),
]
operations = [
migrations.AddField(
model_name='post',
name='category',
field=models.ManyToManyField(through='blog.PostCategory', to='blog.Category'),
),
migrations.AlterField(
model_name='bookmarkedpost',
name='id',
field=models.AutoField(default=0, primary_key=True, serialize=False),
),
migrations.AlterField(
model_name='category',
name='id',
field=models.AutoField(primary_key=True, serialize=False),
),
migrations.AlterField(
model_name='comment',
name='comment',
field=models.TextField(blank=True),
),
migrations.AlterField(
model_name='comment',
name='id',
field=models.AutoField(default=0, primary_key=True, serialize=False),
),
migrations.AlterField(
model_name='post',
name='comment_enabled',
field=models.BooleanField(default=True),
),
migrations.AlterField(
model_name='post',
name='id',
field=models.AutoField(primary_key=True, serialize=False),
),
migrations.AlterField(
model_name='post',
name='post_content',
field=models.TextField(blank=True),
),
migrations.AlterField(
model_name='postcategory',
name='id',
field=models.AutoField(default=0, primary_key=True, serialize=False),
),
migrations.AlterField(
model_name='user',
name='description',
field=models.TextField(blank=True),
),
migrations.AlterField(
model_name='user',
name='email',
field=models.EmailField(max_length=254, unique=True),
),
migrations.AlterField(
model_name='user',
name='first_name',
field=models.CharField(blank=True, max_length=45),
),
migrations.AlterField(
model_name='user',
name='id',
field=models.AutoField(primary_key=True, serialize=False),
),
migrations.AlterField(
model_name='user',
name='last_name',
field=models.CharField(blank=True, max_length=45),
),
]
| 30.860465
| 90
| 0.55049
| 244
| 2,654
| 5.852459
| 0.278689
| 0.088235
| 0.227591
| 0.264006
| 0.667367
| 0.664566
| 0.605742
| 0.571429
| 0.571429
| 0.387955
| 0
| 0.017416
| 0.329314
| 2,654
| 85
| 91
| 31.223529
| 0.784831
| 0.025622
| 0
| 0.705128
| 1
| 0
| 0.084785
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.025641
| 0
| 0.064103
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1e344646dbf7cde801b7cfa2197daeb62ceecfd9
| 150
|
py
|
Python
|
dropbox_webclient/dropbox_webclient/uploader/forms.py
|
marciogualtieri/DropBoxWebClient
|
6a7237af7bfc66e9c05e9826c56e8554bd592f2d
|
[
"MIT"
] | null | null | null |
dropbox_webclient/dropbox_webclient/uploader/forms.py
|
marciogualtieri/DropBoxWebClient
|
6a7237af7bfc66e9c05e9826c56e8554bd592f2d
|
[
"MIT"
] | null | null | null |
dropbox_webclient/dropbox_webclient/uploader/forms.py
|
marciogualtieri/DropBoxWebClient
|
6a7237af7bfc66e9c05e9826c56e8554bd592f2d
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from django import forms
class UploadForm(forms.Form):
upload_file = forms.FileField(label='Select a File to Upload')
| 16.666667
| 66
| 0.693333
| 21
| 150
| 4.904762
| 0.809524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008065
| 0.173333
| 150
| 8
| 67
| 18.75
| 0.822581
| 0.14
| 0
| 0
| 0
| 0
| 0.181102
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1e39202960863ac84c721138a1a62acb6e847d34
| 211
|
py
|
Python
|
remoteworkEval/serializers.py
|
boussier/CCPSMV_dashboard
|
5a0ac667713f7fd9e3e93c2a83e3da6f3657323f
|
[
"MIT"
] | null | null | null |
remoteworkEval/serializers.py
|
boussier/CCPSMV_dashboard
|
5a0ac667713f7fd9e3e93c2a83e3da6f3657323f
|
[
"MIT"
] | null | null | null |
remoteworkEval/serializers.py
|
boussier/CCPSMV_dashboard
|
5a0ac667713f7fd9e3e93c2a83e3da6f3657323f
|
[
"MIT"
] | null | null | null |
from rest_framework import serializers
from .models import RemoteworkEval
class RemoteworkEvalSeriailzer(serializers.ModelSerializer):
class Meta:
model = RemoteworkEval
fields = '__all__'
| 23.444444
| 60
| 0.763033
| 19
| 211
| 8.210526
| 0.736842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.189573
| 211
| 8
| 61
| 26.375
| 0.912281
| 0
| 0
| 0
| 0
| 0
| 0.033175
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
1e6230945b49ead032c544907779781cc3158ad6
| 44
|
py
|
Python
|
s3pypi/__init__.py
|
johnwatsonncr/s3pypi
|
fe752b4a1d2370d2b34b28d64c6f078928b3c6cc
|
[
"MIT"
] | null | null | null |
s3pypi/__init__.py
|
johnwatsonncr/s3pypi
|
fe752b4a1d2370d2b34b28d64c6f078928b3c6cc
|
[
"MIT"
] | null | null | null |
s3pypi/__init__.py
|
johnwatsonncr/s3pypi
|
fe752b4a1d2370d2b34b28d64c6f078928b3c6cc
|
[
"MIT"
] | 4
|
2020-04-28T02:30:28.000Z
|
2022-01-02T01:07:32.000Z
|
__prog__ = "s3pypi"
__version__ = u"0.10.0"
| 14.666667
| 23
| 0.681818
| 7
| 44
| 3.142857
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131579
| 0.136364
| 44
| 2
| 24
| 22
| 0.447368
| 0
| 0
| 0
| 0
| 0
| 0.272727
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1e745d3008b7876102524dd7e24b38ccfc8f1755
| 189
|
py
|
Python
|
Keywords/HardwareControl/motor.py
|
cassie01/PumpLibrary
|
c2a4884a36f4c6c6552fa942143ae5d21c120b41
|
[
"Apache-2.0"
] | null | null | null |
Keywords/HardwareControl/motor.py
|
cassie01/PumpLibrary
|
c2a4884a36f4c6c6552fa942143ae5d21c120b41
|
[
"Apache-2.0"
] | null | null | null |
Keywords/HardwareControl/motor.py
|
cassie01/PumpLibrary
|
c2a4884a36f4c6c6552fa942143ae5d21c120b41
|
[
"Apache-2.0"
] | null | null | null |
# -*-coding:utf-8 -*-
from Keywords.keywordgroup import KeywordGroup
class Motor(KeywordGroup):
"""
This class is used to define all related methods with motor.
"""
pass
| 17.181818
| 64
| 0.671958
| 23
| 189
| 5.521739
| 0.826087
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006803
| 0.222222
| 189
| 10
| 65
| 18.9
| 0.857143
| 0.428571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
|
0
| 4
|
1ebdd915cbe9ac8fea444af41dd65777d6e7cf2a
| 189
|
py
|
Python
|
cgan/converttomono.py
|
donaldjohnroy/CGAN-with-LFW-dataset
|
bab31252ae575fcff8589ec5f5b79eca6338c34c
|
[
"MIT"
] | null | null | null |
cgan/converttomono.py
|
donaldjohnroy/CGAN-with-LFW-dataset
|
bab31252ae575fcff8589ec5f5b79eca6338c34c
|
[
"MIT"
] | null | null | null |
cgan/converttomono.py
|
donaldjohnroy/CGAN-with-LFW-dataset
|
bab31252ae575fcff8589ec5f5b79eca6338c34c
|
[
"MIT"
] | null | null | null |
from PIL import Image
image_file = Image.open("convert_image.jpg") # open colour image
image_file = image_file.convert('1') # convert image to black and white
image_file.save('result.jpg')
| 47.25
| 71
| 0.772487
| 31
| 189
| 4.548387
| 0.516129
| 0.255319
| 0.198582
| 0.269504
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.005988
| 0.116402
| 189
| 4
| 72
| 47.25
| 0.838323
| 0.26455
| 0
| 0
| 0
| 0
| 0.20438
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1ec8eedd03c15f1a7d24a11f984d7e583f3383c1
| 39
|
py
|
Python
|
webinterface/src/__init__.py
|
FoxyRabbit67/enigma2-plugins
|
f6b94012726931fdf28e80a26226aec612b350de
|
[
"Linux-OpenIB"
] | 41
|
2016-01-21T17:54:44.000Z
|
2021-06-26T05:54:41.000Z
|
webinterface/src/__init__.py
|
FoxyRabbit67/enigma2-plugins
|
f6b94012726931fdf28e80a26226aec612b350de
|
[
"Linux-OpenIB"
] | 22
|
2016-11-16T11:25:26.000Z
|
2021-12-13T09:13:06.000Z
|
webinterface/src/__init__.py
|
FoxyRabbit67/enigma2-plugins
|
f6b94012726931fdf28e80a26226aec612b350de
|
[
"Linux-OpenIB"
] | 62
|
2016-02-05T22:55:48.000Z
|
2022-03-12T21:48:22.000Z
|
import hashlib
__version__ = "1.9.1"
| 7.8
| 21
| 0.692308
| 6
| 39
| 3.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09375
| 0.179487
| 39
| 4
| 22
| 9.75
| 0.625
| 0
| 0
| 0
| 0
| 0
| 0.131579
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
94966fe2b8f5d072110539957fa88617e357f1d5
| 87
|
py
|
Python
|
Level1_Input_Output/10718.py
|
jaeheeLee17/BOJ_Algorithms
|
c14641693d7ef0f5bba0a6637166c7ceadb2a0be
|
[
"MIT"
] | null | null | null |
Level1_Input_Output/10718.py
|
jaeheeLee17/BOJ_Algorithms
|
c14641693d7ef0f5bba0a6637166c7ceadb2a0be
|
[
"MIT"
] | null | null | null |
Level1_Input_Output/10718.py
|
jaeheeLee17/BOJ_Algorithms
|
c14641693d7ef0f5bba0a6637166c7ceadb2a0be
|
[
"MIT"
] | null | null | null |
def main():
print(("강한친구 대한육군" + "\n") * 2)
if __name__ == "__main__":
main()
| 14.5
| 35
| 0.505747
| 11
| 87
| 3.272727
| 0.818182
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015385
| 0.252874
| 87
| 5
| 36
| 17.4
| 0.538462
| 0
| 0
| 0
| 0
| 0
| 0.218391
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| true
| 0
| 0
| 0
| 0.25
| 0.25
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
94a5c220b2456ad5c45fd7a72faaef980c52f7ab
| 1,126
|
py
|
Python
|
util/pfunc.py
|
thorwhalen/ut
|
353a4629c35a2cca76ef91a4d5209afe766433b4
|
[
"MIT"
] | 4
|
2016-12-17T20:06:10.000Z
|
2021-11-19T04:45:29.000Z
|
util/pfunc.py
|
thorwhalen/ut
|
353a4629c35a2cca76ef91a4d5209afe766433b4
|
[
"MIT"
] | 11
|
2021-01-06T05:35:11.000Z
|
2022-03-11T23:28:31.000Z
|
util/pfunc.py
|
thorwhalen/ut
|
353a4629c35a2cca76ef91a4d5209afe766433b4
|
[
"MIT"
] | 3
|
2015-06-12T10:44:16.000Z
|
2021-07-26T18:39:47.000Z
|
"""Utils to work with functions"""
__author__ = 'thor'
import functools
def compose(f, g):
return lambda *a, **kw: f(g(*a, **kw))
def filter_kwargs_to_func_arguments(func, kwargs):
return dict([(k, v) for k, v in kwargs.items() if k in func.__code__.co_varnames])
def multi_compose(x):
return functools.partial(functools.reduce, compose)(x)
def return_none_on_error(func, *args, **kwargs):
"""
utility to be able to "ignore" errors (by returning None) when calling a function
"""
try:
func(*args, **kwargs)
except:
return None
def pass_on_error(func, *args, **kwargs):
"""
utility to be able to "ignore" error (by doing a 'pass') when calling a function
"""
try:
func(*args, **kwargs)
except:
pass
def handle_error(func, handle=lambda e: None, *args, **kwargs):
"""
utility to be able to "handle" errors (by calling an input handle function on the error) when calling a function
(default handle return None on error)
"""
try:
func(*args, **kwargs)
except Exception as e:
return handle(e)
| 22.979592
| 116
| 0.633215
| 161
| 1,126
| 4.304348
| 0.378882
| 0.08658
| 0.10101
| 0.082251
| 0.323232
| 0.290043
| 0.290043
| 0.251082
| 0.251082
| 0.126984
| 0
| 0
| 0.242451
| 1,126
| 48
| 117
| 23.458333
| 0.812427
| 0.30373
| 0
| 0.347826
| 0
| 0
| 0.005487
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.26087
| false
| 0.086957
| 0.043478
| 0.130435
| 0.521739
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
94ca15002f7163007ae8a3be29de6127476c7f98
| 181
|
py
|
Python
|
Emmanuel ANENE/Phase 1/Python Basic 1/Day5/task1.py
|
CodedLadiesInnovateTech/-python-challenge-solutions
|
430cd3eb84a2905a286819eef384ee484d8eb9e7
|
[
"MIT"
] | 6
|
2020-05-23T19:53:25.000Z
|
2021-05-08T20:21:30.000Z
|
Emmanuel ANENE/Phase 1/Python Basic 1/Day5/task1.py
|
CodedLadiesInnovateTech/-python-challenge-solutions
|
430cd3eb84a2905a286819eef384ee484d8eb9e7
|
[
"MIT"
] | 8
|
2020-05-14T18:53:12.000Z
|
2020-07-03T00:06:20.000Z
|
Emmanuel ANENE/Phase 1/Python Basic 1/Day5/task1.py
|
CodedLadiesInnovateTech/-python-challenge-solutions
|
430cd3eb84a2905a286819eef384ee484d8eb9e7
|
[
"MIT"
] | 39
|
2020-05-10T20:55:02.000Z
|
2020-09-12T17:40:59.000Z
|
from math import *
num1 = int(input("Enter first digit: "))
num2 = int(input("Enter second digit: "))
def comDiv(num1, num2):
return gcd(num1, num2)
print(comDiv(num1, num2))
| 20.111111
| 41
| 0.674033
| 27
| 181
| 4.518519
| 0.592593
| 0.196721
| 0.213115
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.05298
| 0.165746
| 181
| 9
| 42
| 20.111111
| 0.754967
| 0
| 0
| 0
| 0
| 0
| 0.214286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.166667
| false
| 0
| 0.166667
| 0.166667
| 0.5
| 0.166667
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 4
|
94ccb26999b4924cdf4eae81fb1d96f3abe394cc
| 71
|
py
|
Python
|
addons/s3compatb3/__init__.py
|
tsukaeru/RDM-osf.io
|
2dc3e539322b6110e51772f8bd25ebdeb8e12d0e
|
[
"Apache-2.0"
] | 11
|
2018-12-11T16:39:40.000Z
|
2022-02-26T09:51:32.000Z
|
addons/s3compatb3/__init__.py
|
tsukaeru/RDM-osf.io
|
2dc3e539322b6110e51772f8bd25ebdeb8e12d0e
|
[
"Apache-2.0"
] | 52
|
2018-04-13T05:03:21.000Z
|
2022-03-22T02:56:19.000Z
|
addons/s3compatb3/__init__.py
|
tsukaeru/RDM-osf.io
|
2dc3e539322b6110e51772f8bd25ebdeb8e12d0e
|
[
"Apache-2.0"
] | 16
|
2018-07-09T01:44:51.000Z
|
2021-06-30T01:57:16.000Z
|
default_app_config = 'addons.s3compatb3.apps.S3CompatB3AddonAppConfig'
| 35.5
| 70
| 0.873239
| 7
| 71
| 8.571429
| 1
| 0
| 0
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| 0.058824
| 0.042254
| 71
| 1
| 71
| 71
| 0.823529
| 0
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| 0.661972
| 0.661972
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| null | 0
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| 0
| 0
| 0
|
0
| 4
|
94f0ae8146cc53949498536b3f7430e706649ddd
| 38
|
py
|
Python
|
csv_tools/base/__init__.py
|
dwbzero/csv-tools
|
608409d9a221a9ae7956b6499fc4311b4b322f79
|
[
"MIT"
] | null | null | null |
csv_tools/base/__init__.py
|
dwbzero/csv-tools
|
608409d9a221a9ae7956b6499fc4311b4b322f79
|
[
"MIT"
] | null | null | null |
csv_tools/base/__init__.py
|
dwbzero/csv-tools
|
608409d9a221a9ae7956b6499fc4311b4b322f79
|
[
"MIT"
] | 1
|
2020-12-05T20:03:56.000Z
|
2020-12-05T20:03:56.000Z
|
""" Support module for csv_tools. """
| 19
| 37
| 0.657895
| 5
| 38
| 4.8
| 1
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| 0.157895
| 38
| 1
| 38
| 38
| 0.75
| 0.763158
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| null | true
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| null | null | null | 1
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| 0
| 0
|
0
| 4
|
a2035f3e876a48d1ee11f34aea963864bd3595b7
| 409
|
py
|
Python
|
components/__init__.py
|
auroua/Udacity_Continuous_Control
|
fcc21f8682b745f55c2900616eac632f430ab828
|
[
"MIT"
] | 1
|
2019-11-24T13:33:52.000Z
|
2019-11-24T13:33:52.000Z
|
components/__init__.py
|
auroua/Udacity_Continuous_Control
|
fcc21f8682b745f55c2900616eac632f430ab828
|
[
"MIT"
] | null | null | null |
components/__init__.py
|
auroua/Udacity_Continuous_Control
|
fcc21f8682b745f55c2900616eac632f430ab828
|
[
"MIT"
] | null | null | null |
from .config_ppo import get_cfg_defaults
from .config_ac2 import get_ac_cfg_defaults
from .config_ppo_ac import get_ppo_ac_cfg_defaults
from .envs import Task
from .utils import device, to_np, tensor, layer_init, random_sample, Storage, get_episodes_count
__all__ = (get_cfg_defaults, get_ac_cfg_defaults, Task, Storage, get_ppo_ac_cfg_defaults,
device, to_np, tensor, layer_init, random_sample)
| 40.9
| 96
| 0.819071
| 67
| 409
| 4.492537
| 0.358209
| 0.219269
| 0.172757
| 0.139535
| 0.372093
| 0.245847
| 0.245847
| 0.245847
| 0
| 0
| 0
| 0.002793
| 0.124694
| 409
| 9
| 97
| 45.444444
| 0.837989
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| 0
| 0.714286
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bf9292b527e1b59ff6c4167d71a9b4b2e73d1b89
| 209
|
py
|
Python
|
demanage/organizations/admin.py
|
Egor4ik325/demanage
|
f5fd1d2ad264f6d2dc3c95322962569dc591f30c
|
[
"MIT"
] | null | null | null |
demanage/organizations/admin.py
|
Egor4ik325/demanage
|
f5fd1d2ad264f6d2dc3c95322962569dc591f30c
|
[
"MIT"
] | 1
|
2022-03-01T11:21:05.000Z
|
2022-03-01T11:21:05.000Z
|
demanage/organizations/admin.py
|
Egor4ik325/demanage
|
f5fd1d2ad264f6d2dc3c95322962569dc591f30c
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from demanage.organizations.models import Organization
@admin.register(Organization)
class OrganizationAdmin(admin.ModelAdmin):
prepopulated_fields = {"slug": ["name"]}
| 23.222222
| 54
| 0.794258
| 22
| 209
| 7.5
| 0.772727
| 0
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| 0
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| 0
| 0
| 0.105263
| 209
| 8
| 55
| 26.125
| 0.882353
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| 0.038278
| 0
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| 0
| false
| 0
| 0.4
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| null | 0
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| 0
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| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bf9b6a32bb0c42c16b58683bedc07bb364180c62
| 2,227
|
py
|
Python
|
uPark_client/entities/user.py
|
GrassoMichele/uPark
|
d96310c165c3efa9b0251c51ababe06639c4570a
|
[
"MIT"
] | null | null | null |
uPark_client/entities/user.py
|
GrassoMichele/uPark
|
d96310c165c3efa9b0251c51ababe06639c4570a
|
[
"MIT"
] | null | null | null |
uPark_client/entities/user.py
|
GrassoMichele/uPark
|
d96310c165c3efa9b0251c51ababe06639c4570a
|
[
"MIT"
] | null | null | null |
class User:
def __init__(self, id = None, email = None, name = None, surname = None, password = None, wallet = 0.00, disability = False, active_account = False, id_user_category = 2): # id_user_category = 2 -> Student
self._id = id
self._email = email
self._name = name
self._surname = surname
self._password = password
self._wallet = wallet
self._disability = disability
self._active_account = active_account
self._id_user_category = id_user_category
def set_id(self, id):
self._id = id
# def set_email(self, email):
# self._email = email
# def set_name(self, name):
# self._name = name
# def set_surname(self, surname):
# self._surname = surname
def set_password(self, password):
self._password = password
def set_wallet(self, wallet):
self._wallet = wallet
def set_disability(self, disability):
self._disability = disability
def set_active_account(self, active_account):
self._active_account = active_account
# def set_id_user_category(self, id_user_category):
# self._id_user_category = id_user_category
def get_id(self):
return self._id
def get_email(self):
return self._email
def get_name(self):
return self._name
def get_surname(self):
return self._surname
def get_password(self):
return self._password
def get_wallet(self):
return self._wallet
def get_disability(self):
return self._disability
def get_active_account(self):
return self._active_account
def get_id_user_category(self):
return self._id_user_category
def __eq__(self, other):
if isinstance(other, User):
return self._id == other._id
return NotImplemented
def __str__(self):
user_info = (f"User Id: {self._id}, email: {self._email}, name: {self._name}, surname: {self._surname}, "
f"password: {self._password}, wallet: {self._wallet}, disability: {self._disability}, active accont: {self._active_account}, "
f"id_user_category: {self._id_user_category}")
return user_info
| 28.189873
| 212
| 0.64167
| 278
| 2,227
| 4.766187
| 0.118705
| 0.05434
| 0.126792
| 0.067925
| 0.169057
| 0.101132
| 0.101132
| 0.05283
| 0
| 0
| 0
| 0.003049
| 0.263583
| 2,227
| 78
| 213
| 28.551282
| 0.804878
| 0.128873
| 0
| 0.208333
| 0
| 0.041667
| 0.131606
| 0.024352
| 0
| 0
| 0
| 0
| 0
| 1
| 0.354167
| false
| 0.145833
| 0
| 0.1875
| 0.625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
bfa22790c8d4dba36a8c661c7ce1ef5886f4e2a9
| 74
|
py
|
Python
|
__init__.py
|
LUke8544/Chinese-Python
|
4fc27b3e9ee67783c0ec321f3e939e29e005dd27
|
[
"MIT"
] | null | null | null |
__init__.py
|
LUke8544/Chinese-Python
|
4fc27b3e9ee67783c0ec321f3e939e29e005dd27
|
[
"MIT"
] | null | null | null |
__init__.py
|
LUke8544/Chinese-Python
|
4fc27b3e9ee67783c0ec321f3e939e29e005dd27
|
[
"MIT"
] | null | null | null |
def 打印(a):
print (a)
def 系统(a):
import os
os.system(a)
| 10.571429
| 17
| 0.472973
| 13
| 74
| 2.692308
| 0.615385
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.378378
| 74
| 6
| 18
| 12.333333
| 0.76087
| 0
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| 0
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| 0
| 0
| 1
| 0.4
| false
| 0
| 0.2
| 0
| 0.6
| 0.2
| 1
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| null | 0
| 0
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| 0
| 0
| 0
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| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
bfc995d1ea6ee9a3bcee3447ef2dfb2bafa8086a
| 6,494
|
py
|
Python
|
tone_est_ok.py
|
amikey/audio_scripts
|
3c6adc3c4e2a338590bb69e2a13c954bfd8cec46
|
[
"MIT"
] | 6
|
2016-05-29T23:20:17.000Z
|
2019-03-10T18:18:05.000Z
|
tone_est_ok.py
|
amikey/audio_scripts
|
3c6adc3c4e2a338590bb69e2a13c954bfd8cec46
|
[
"MIT"
] | null | null | null |
tone_est_ok.py
|
amikey/audio_scripts
|
3c6adc3c4e2a338590bb69e2a13c954bfd8cec46
|
[
"MIT"
] | null | null | null |
#!/Users/tkirke/anaconda/bin/python
# -*- coding: utf-8 -*-
import re,sys,os
from math import sqrt,log,pi,sin,cos,atan2,floor
import cmath
from scipy import signal,fft
import numpy
# Quinn's method in
# B. G. Quinn, "Estimating Frequency by Interpolation Using Fourier
# Coefficients," IEEE Trans. Signal Processing, Vol. 42, no. 5, 1994.
#
# For Phase & Amplitude use Eq (9) from
# B. G. Quinn, "Estimation of Frequency, Amplitude, and Phase from the
# DFT of a Time Series," IEEE Trans. Signal Processing, Vol. 45, no. 3,
# 1997
def c(k,d):
cm1 = (cmath.exp(2*pi*1j*d)-1.0)/(4*pi*1j*(d-k))
return cm1
def h(x):
res = (0.25*log(3*x*x+6*x+1) - sqrt(6.0)*log(x+1-sqrt(2./3.))/24.0)/(x+1+sqrt(2./3.))
return res
def k(x):
res = 0.25*log(3*x*x+6*x+1) - sqrt(6.0)*log((x+1-sqrt(2./3.))/(x+1+sqrt(2./3.)))/24.0
return res
def tone_est(sdata,sr):
samples = len(sdata)
fft_size = 2**int(floor(log(samples)/log(2.0)))
freq = fft(sdata[0:fft_size])
pdata = numpy.zeros(fft_size)
for i in xrange(fft_size): pdata[i] = abs(freq[i])
peak = 0
peak_index = 0
for i in xrange(fft_size/2):
if (pdata[i] > peak):
peak = pdata[i]
peak_index = i
R = peak*peak;
p = (freq[peak_index+1].real * freq[peak_index].real + freq[peak_index+1].imag * freq[peak_index].imag)/R
g = -p/(1.0-p)
q = (freq[peak_index-1].real * freq[peak_index].real + freq[peak_index-1].imag * freq[peak_index].imag)/R
e = q/(1.0-q)
if ((p>0) and (q>0)):
d = p
else:
d = q
u = peak_index + d
print "peak is at ",peak_index,"(",u,") and is ",peak
#print "u = ",0.5*u*sr/fft_size,' f[0] = ',f[0]
sum_phase = freq[peak_index-1]*c(-1,d) + freq[peak_index]*c(0,d) + freq[peak_index+1]*c(1,d)
sum_c_sq = abs(c(-1,d))*abs(c(-1,d)) + abs(c(0,d))*abs(c(0,d)) + abs(c(1,d))*abs(c(1,d))
amp = (abs(sum_phase)/sum_c_sq)/fft_size
phase_r = cmath.phase(sum_phase)
freq_est = 0.5*u*sr/fft_size
return (amp,freq_est,phase_r)
def est_tone_phase(sdata,a,f,sr):
samples = len(sdata)
points = 360
rms = numpy.zeros(points)
sum_min = numpy.sum(numpy.square(sdata))
min_index = 0
for offset in xrange(points):
sum = 0
phase = pi*offset/180.0
for i in xrange(samples):
diff = (sdata[i] - a*cos(2*pi*i*f/(sr/2.0) + phase))
sum += diff*diff
rms[offset] = sum
if (sum < sum_min):
sum_min = sum
min_index = offset
#print "sum_min",sum_min,' index = ',min_index
min_phase = pi*(min_index)/180.0
#print "min for phase sweep is ",sum_min,' at offset ',min_index
return min_phase
def est_tone_phase_and_remove(sdata,a,f,sr):
samples = len(sdata)
xdata = numpy.zeros(samples)
min_phase = est_tone_phase(sdata,a,f,sr)
for i in xrange(samples): xdata[i] = sdata[i] - a*cos(2*pi*i*f/(sr/2.0) + min_phase)
return (xdata)
def tone_est_near_index(sdata,index,range,sr):
samples = len(sdata)
fft_size = 2**int(floor(log(samples)/log(2.0)))
freq = fft(sdata[0:fft_size])
pdata = numpy.zeros(fft_size)
for i in xrange(fft_size): pdata[i] = abs(freq[i])
peak = 0
peak_index = 0
for i in xrange(2*range):
if (pdata[index+i-range] > peak):
peak = pdata[index+i-range]
peak_index = index+i-range
print "peak is at ",peak_index," and is ",peak
R = peak*peak;
p = (freq[peak_index+1].real * freq[peak_index].real + freq[peak_index+1].imag * freq[peak_index].imag)/R
g = -p/(1.0-p)
q = (freq[peak_index-1].real * freq[peak_index].real + freq[peak_index-1].imag * freq[peak_index].imag)/R
e = q/(1.0-q)
if ((p>0) and (q>0)):
d = p
else:
d = q
u = peak_index + d
sum_phase = freq[peak_index-1]*c(-1,d) + freq[peak_index]*c(0,d) + freq[peak_index+1]*c(1,d)
sum_c_sq = abs(c(-1,d))*abs(c(-1,d)) + abs(c(0,d))*abs(c(0,d)) + abs(c(1,d))*abs(c(1,d))
amp = (abs(sum_phase)/sum_c_sq)/fft_size
phase_r = cmath.phase(sum_phase)
freq_est = 0.5*u*sr/fft_size
return (amp,freq_est,phase_r)
def tone_est_above_index(sdata,index,sr):
samples = len(sdata)
fft_size = 2**int(floor(log(samples)/log(2.0)))
freq = fft(sdata[0:fft_size])
pdata = numpy.zeros(fft_size)
for i in xrange(fft_size): pdata[i] = abs(freq[i])
peak = 0
peak_index = 0
for i in xrange(fft_size/2):
if (i > index):
if (pdata[i] > peak):
peak = pdata[i]
peak_index = i
print "peak is at ",peak_index," and is ",peak
R = peak*peak;
p = (freq[peak_index+1].real * freq[peak_index].real + freq[peak_index+1].imag * freq[peak_index].imag)/R
g = -p/(1.0-p)
q = (freq[peak_index-1].real * freq[peak_index].real + freq[peak_index-1].imag * freq[peak_index].imag)/R
e = q/(1.0-q)
if ((p>0) and (q>0)):
d = p
else:
d = q
u = peak_index + d
sum_phase = freq[peak_index-1]*c(-1,d) + freq[peak_index]*c(0,d) + freq[peak_index+1]*c(1,d)
sum_c_sq = abs(c(-1,d))*abs(c(-1,d)) + abs(c(0,d))*abs(c(0,d)) + abs(c(1,d))*abs(c(1,d))
amp = (abs(sum_phase)/sum_c_sq)/fft_size
phase_r = cmath.phase(sum_phase)
freq_est = 0.5*u*sr/fft_size
return (amp,freq_est,phase_r)
# REMOVAL CASES
def tone_est_and_remove(sdata,sr):
(a,f,p) = tone_est(sdata,sr)
xdata = est_tone_phase_and_remove(sdata,a,f,sr)
print "removed sin with amplitude = ",a, " at frequency ",2*f
return (xdata,f)
def tone_est_above_index_and_remove(sdata,index,sr):
(a,f,p) = tone_est_above_index(sdata,index,sr)
min_phase = est_tone_phase(sdata,a,f,sr)
samples = len(sdata)
xdata = numpy.zeros(samples)
for i in xrange(samples): xdata[i] = sdata[i] - a*cos(2*pi*i*f/(sr/2.0) + min_phase)
print "removed sin with amplitude = ",a, " at frequency ",2*f
return (xdata,f)
def tone_est_near_index_and_remove(sdata,index,range,sr):
(a,f,p) = tone_est_near_index(sdata,index,range,sr)
min_phase = est_tone_phase(sdata,a,f,sr)
samples = len(sdata)
xdata = numpy.zeros(samples)
for i in xrange(samples): xdata[i] = sdata[i] - a*cos(2*pi*i*f/(sr/2.0) + min_phase)
print "removed sin with amplitude = ",a, " at frequency ",2*f
return (xdata,f)
| 30.92381
| 109
| 0.588081
| 1,177
| 6,494
| 3.107901
| 0.11215
| 0.110716
| 0.117277
| 0.06889
| 0.785675
| 0.72608
| 0.710771
| 0.692182
| 0.675232
| 0.653362
| 0
| 0.036507
| 0.236526
| 6,494
| 209
| 110
| 31.07177
| 0.701291
| 0.086079
| 0
| 0.680272
| 0
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| 0.031757
| 0
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| null | null | 0
| 0.034014
| null | null | 0.040816
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| 0
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| 1
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|
0
| 4
|
449d9cc78562a4d8089443226af580e1b60e543f
| 115
|
py
|
Python
|
srcs/lexer/lexemes/number_lexeme.py
|
pomponchik/computor_v2
|
742b3f3b47c8d46806b2f733b4ec07ae63a23f00
|
[
"MIT"
] | null | null | null |
srcs/lexer/lexemes/number_lexeme.py
|
pomponchik/computor_v2
|
742b3f3b47c8d46806b2f733b4ec07ae63a23f00
|
[
"MIT"
] | null | null | null |
srcs/lexer/lexemes/number_lexeme.py
|
pomponchik/computor_v2
|
742b3f3b47c8d46806b2f733b4ec07ae63a23f00
|
[
"MIT"
] | null | null | null |
from srcs.lexer.lexemes.abstract_lexeme import AbstractLexeme
class NumberLexeme(AbstractLexeme):
name = 'n'
| 19.166667
| 61
| 0.791304
| 13
| 115
| 6.923077
| 0.923077
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0.130435
| 115
| 5
| 62
| 23
| 0.9
| 0
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| 0
| 0
| 0
| 0.008696
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
44f7969285408536d6a09a0bde0555a8d3f3dd9a
| 17,301
|
py
|
Python
|
results.py
|
StannisZhou/rna_statistics
|
29e96845ae03d2b571fb2c69a9c642aa60c46391
|
[
"MIT"
] | null | null | null |
results.py
|
StannisZhou/rna_statistics
|
29e96845ae03d2b571fb2c69a9c642aa60c46391
|
[
"MIT"
] | null | null | null |
results.py
|
StannisZhou/rna_statistics
|
29e96845ae03d2b571fb2c69a9c642aa60c46391
|
[
"MIT"
] | null | null | null |
from collections import defaultdict
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from scipy.stats import hypergeom
from sklearn.metrics import roc_auc_score, roc_curve
from statsmodels.nonparametric.smoothers_lowess import lowess
GROUP_NAMES = {
'Group_I_Introns': 'Group I Introns',
'Group_II_Introns': 'Group II Introns',
'tmRNAs': 'tmRNA',
'SRP_RNAs': 'SRP RNA',
'RNase_Ps': 'RNase P',
'16s_ribosomal': '16s rRNA',
'23s_ribosomal': '23s rRNA',
'Group_I_Introns_A1': 'Group I Introns A1',
'Group_I_Introns_A2': 'Group I Introns A2',
'Group_I_Introns_A3': 'Group I Introns A3',
'Group_I_Introns_B1': 'Group I Introns B1',
'Group_I_Introns_B2': 'Group I Introns B2',
'Group_I_Introns_B3': 'Group I Introns B3',
'Group_I_Introns_B4': 'Group I Introns B4',
'Group_I_Introns_C1': 'Group I Introns C1',
'Group_I_Introns_C2': 'Group I Introns C2',
'Group_I_Introns_C3': 'Group I Introns C3',
'Group_I_Introns_D': 'Group I Introns D',
'Group_I_Introns_E': 'Group I Introns E',
'Group_I_Introns_UNK': 'Group I Introns Unknown',
'Group_II_Introns_A': 'Group II Introns A',
'Group_II_Introns_B': 'Group II Introns B',
}
SINGLE_ENTITY_RNAS = ['Group_I_Introns', 'Group_II_Introns']
PROTEIN_RNA_COMPLEXES = [
'SRP_RNAs',
'tmRNAs',
'RNase_Ps',
'16s_ribosomal',
'23s_ribosomal',
]
def get_essential_data_by_family(essential_data):
essential_data_by_family = {}
for group in essential_data:
n_molecules = len(list(essential_data[group].keys()))
molecule_lengths = np.zeros(n_molecules, dtype=int)
n_pseudoknots = np.zeros(n_molecules, dtype=int)
ambiguity_index = {
'comparative': {'T-S': np.zeros(n_molecules), 'D-S': np.zeros(n_molecules)},
'mfe': {'T-S': np.zeros(n_molecules), 'D-S': np.zeros(n_molecules)},
}
alpha_index = {
'comparative': {'T-S': np.zeros(n_molecules), 'D-S': np.zeros(n_molecules)},
'mfe': {'T-S': np.zeros(n_molecules), 'D-S': np.zeros(n_molecules)},
}
for ff, fname in enumerate(essential_data[group]):
molecule_lengths[ff] = essential_data[group][fname]['length']
n_pseudoknots[ff] = essential_data[group][fname]['n_pseudoknots']
for key in ['comparative', 'mfe']:
for index in ['T-S', 'D-S']:
ambiguity_index[key][index][ff] = essential_data[group][fname][
'ambiguity_index_{}_{}'.format(key, index)
]
alpha_index[key][index][ff] = essential_data[group][fname][
'alpha_index_{}_{}'.format(key, index)
]
essential_data_by_family[group] = {
'n_molecules': n_molecules,
'molecule_lengths': molecule_lengths,
'n_pseudoknots': n_pseudoknots,
'ambiguity_index': ambiguity_index,
'alpha_index': alpha_index,
}
return essential_data_by_family
def get_essential_data_by_family_for_intron_subclasses(essential_data, raw_data):
# Get Group I Intron subclasses
intron_subclasses = {
'Group_I_Introns': defaultdict(list),
'Group_II_Introns': defaultdict(list),
}
for fname in raw_data['Group_I_Introns']:
header = raw_data['Group_I_Introns'][fname]['header']
header = header[-1].split(', ')[1].split('.')
rna_class = [
component
for component in header
if component
in [
'A1',
'A2',
'A3',
'B1',
'B2',
'B3',
'B4',
'C1',
'C2',
'C3',
'D',
'E',
'UNK',
]
]
intron_subclasses['Group_I_Introns'][rna_class[-1]].append(fname)
# Get Group II Intron subclasses
for fname in raw_data['Group_II_Introns']:
header = raw_data['Group_II_Introns'][fname]['header']
header = header[-1].split(', ')[1].split('.')
intron_subclasses['Group_II_Introns'][header[5]].append(fname)
essential_data_for_intron_subclasses = {}
for group in ['Group_I_Introns', 'Group_II_Introns']:
for subclass in intron_subclasses[group]:
n_molecules = len(intron_subclasses[group][subclass])
molecule_lengths = np.zeros(n_molecules, dtype=int)
n_pseudoknots = np.zeros(n_molecules, dtype=int)
ambiguity_index = {
'comparative': {
'T-S': np.zeros(n_molecules),
'D-S': np.zeros(n_molecules),
},
'mfe': {'T-S': np.zeros(n_molecules), 'D-S': np.zeros(n_molecules)},
}
alpha_index = {
'comparative': {
'T-S': np.zeros(n_molecules),
'D-S': np.zeros(n_molecules),
},
'mfe': {'T-S': np.zeros(n_molecules), 'D-S': np.zeros(n_molecules)},
}
for ff, fname in enumerate(intron_subclasses[group][subclass]):
molecule_lengths[ff] = essential_data[group][fname]['length']
n_pseudoknots[ff] = essential_data[group][fname]['n_pseudoknots']
for key in ['comparative', 'mfe']:
for index in ['T-S', 'D-S']:
ambiguity_index[key][index][ff] = essential_data[group][fname][
'ambiguity_index_{}_{}'.format(key, index)
]
alpha_index[key][index][ff] = essential_data[group][fname][
'alpha_index_{}_{}'.format(key, index)
]
essential_data_for_intron_subclasses['{}_{}'.format(group, subclass)] = {
'n_molecules': n_molecules,
'molecule_lengths': molecule_lengths,
'n_pseudoknots': n_pseudoknots,
'ambiguity_index': ambiguity_index,
'alpha_index': alpha_index,
}
return essential_data_for_intron_subclasses
def generate_exploratory_analysis_tables(essential_data_by_family):
comparative_table = {
'family': [GROUP_NAMES[group] for group in essential_data_by_family],
'number molecules': [
essential_data_by_family[group]['n_molecules']
for group in essential_data_by_family
],
'median length': [
int(np.median(essential_data_by_family[group]['molecule_lengths']))
for group in essential_data_by_family
],
'median alpha_{T-S}': [
np.median(
essential_data_by_family[group]['alpha_index']['comparative']['T-S']
)
for group in essential_data_by_family
],
'median alpha_{D-S}': [
np.median(
essential_data_by_family[group]['alpha_index']['comparative']['D-S']
)
for group in essential_data_by_family
],
}
mfe_table = {
'family': [GROUP_NAMES[group] for group in essential_data_by_family],
'number molecules': [
essential_data_by_family[group]['n_molecules']
for group in essential_data_by_family
],
'median length': [
int(np.median(essential_data_by_family[group]['molecule_lengths']))
for group in essential_data_by_family
],
'median alpha_{T-S}': [
np.median(essential_data_by_family[group]['alpha_index']['mfe']['T-S'])
for group in essential_data_by_family
],
'median alpha_{D-S}': [
np.median(essential_data_by_family[group]['alpha_index']['mfe']['D-S'])
for group in essential_data_by_family
],
}
return pd.DataFrame(data=comparative_table), pd.DataFrame(data=mfe_table)
def generate_bound_unbound_figure(essential_data_by_family):
ambiguity_index = {
'comparative': {'T-S': [], 'D-S': []},
'mfe': {'T-S': [], 'D-S': []},
}
labels = []
for group in essential_data_by_family:
for key in ambiguity_index:
for index in ambiguity_index[key]:
ambiguity_index[key][index].append(
essential_data_by_family[group]['ambiguity_index'][key][index]
)
if group in SINGLE_ENTITY_RNAS:
labels.append(np.ones(essential_data_by_family[group]['n_molecules']))
elif group in PROTEIN_RNA_COMPLEXES:
labels.append(np.zeros(essential_data_by_family[group]['n_molecules']))
else:
raise Exception('Unknown group {}'.format(group))
for key in ambiguity_index:
for index in ambiguity_index[key]:
ambiguity_index[key][index] = np.concatenate(ambiguity_index[key][index])
labels = np.concatenate(labels)
results = {}
for key in ambiguity_index:
results[key] = {}
for index in ambiguity_index[key]:
false_positive_rates, true_positive_rates, _ = roc_curve(
labels, -ambiguity_index[key][index]
)
auc_score = roc_auc_score(labels, -ambiguity_index[key][index])
p_value = get_hypergeometric_p_value(ambiguity_index[key][index], labels)
results[key][index] = {
'true_positive_rates': true_positive_rates,
'false_positive_rates': false_positive_rates,
'auc_score': auc_score,
'p_value': p_value,
}
plt.rc('text', usetex=True)
fig, ax = plt.subplots(2, 2)
for ii, index in enumerate(['T-S', 'D-S']):
for jj, key in enumerate(['comparative', 'mfe']):
x = results[key][index]['false_positive_rates']
y = results[key][index]['true_positive_rates']
y = lowess(y, x, 0.1, return_sorted=False)
auc = results[key][index]['auc_score']
p_value = latex_float(results[key][index]['p_value'])
ax[ii, jj].plot(x, y, linewidth=2.0)
ax[ii, jj].set_xlabel('false positive rate', fontweight='bold')
ax[ii, jj].set_ylabel('true positive rate', fontweight='bold')
if key == 'comparative':
name = key.capitalize()
else:
name = key.upper()
ax[ii, jj].set_title(
'{}, $d_{{ {} }} < t$, p value ${}$'.format(name, index, p_value),
fontweight='bold',
)
ax[ii, jj].text(0.6, 0.2, 'AUC = {:.2f}'.format(auc), fontweight='bold')
fig.tight_layout()
return fig
def generate_comparative_mfe_figure(essential_data_by_family):
ambiguity_index = {
'bound': {'T-S': [], 'D-S': []},
'unbound': {'T-S': [], 'D-S': []},
}
labels = {'bound': [], 'unbound': []}
for key in ['comparative', 'mfe']:
for group in SINGLE_ENTITY_RNAS:
for index in ambiguity_index['unbound']:
ambiguity_index['unbound'][index].append(
essential_data_by_family[group]['ambiguity_index'][key][index]
)
if key == 'comparative':
labels['unbound'].append(
np.ones(essential_data_by_family[group]['n_molecules'])
)
elif key == 'mfe':
labels['unbound'].append(
np.zeros(essential_data_by_family[group]['n_molecules'])
)
else:
raise Exception('Unknown secondary structure {}'.format(group))
for group in PROTEIN_RNA_COMPLEXES:
for index in ambiguity_index['bound']:
ambiguity_index['bound'][index].append(
essential_data_by_family[group]['ambiguity_index'][key][index]
)
if key == 'comparative':
labels['bound'].append(
np.ones(essential_data_by_family[group]['n_molecules'])
)
elif key == 'mfe':
labels['bound'].append(
np.zeros(essential_data_by_family[group]['n_molecules'])
)
else:
raise Exception('Unknown secondary structure {}'.format(group))
for key in ambiguity_index:
for index in ambiguity_index[key]:
ambiguity_index[key][index] = np.concatenate(ambiguity_index[key][index])
for key in labels:
labels[key] = np.concatenate(labels[key])
results = {}
for key in ambiguity_index:
results[key] = {}
for index in ambiguity_index[key]:
false_positive_rates, true_positive_rates, _ = roc_curve(
labels[key], -ambiguity_index[key][index]
)
auc_score = roc_auc_score(labels[key], -ambiguity_index[key][index])
p_value = get_hypergeometric_p_value(
ambiguity_index[key][index], labels[key]
)
results[key][index] = {
'true_positive_rates': true_positive_rates,
'false_positive_rates': false_positive_rates,
'auc_score': auc_score,
'p_value': p_value,
}
plt.rc('text', usetex=True)
fig, ax = plt.subplots(2, 2)
for ii, index in enumerate(['T-S', 'D-S']):
for jj, key in enumerate(['unbound', 'bound']):
x = results[key][index]['false_positive_rates']
y = results[key][index]['true_positive_rates']
y = lowess(y, x, 0.1, return_sorted=False)
auc = results[key][index]['auc_score']
p_value = latex_float(results[key][index]['p_value'])
ax[ii, jj].plot(x, y, linewidth=2.0)
ax[ii, jj].set_xlabel('false positive rate', fontweight='bold')
ax[ii, jj].set_ylabel('true positive rate', fontweight='bold')
ax[ii, jj].set_title(
'{} RNA, $d_{{ {} }} < t$, p value ${}$'.format(
key.capitalize(), index, p_value
),
fontweight='bold',
)
ax[ii, jj].text(0.6, 0.2, 'AUC = {:.2f}'.format(auc), fontweight='bold')
fig.tight_layout()
return fig
def generate_formal_analysis_table(essential_data_by_family):
comparative_table = {
'family': [GROUP_NAMES[group] for group in essential_data_by_family],
'# of molecules': [
essential_data_by_family[group]['n_molecules']
for group in essential_data_by_family
],
'# of posotive T-S indexes': [
np.sum(
essential_data_by_family[group]['ambiguity_index']['comparative']['T-S']
> 0
)
for group in essential_data_by_family
],
'# of positive D-S indexes': [
np.sum(
essential_data_by_family[group]['ambiguity_index']['comparative']['D-S']
> 0
)
for group in essential_data_by_family
],
}
mfe_table = {
'family': [GROUP_NAMES[group] for group in essential_data_by_family],
'# of molecules': [
essential_data_by_family[group]['n_molecules']
for group in essential_data_by_family
],
'# of positive T-S indexes': [
np.sum(essential_data_by_family[group]['ambiguity_index']['mfe']['T-S'] > 0)
for group in essential_data_by_family
],
'# of positive D-S indexes': [
np.sum(essential_data_by_family[group]['ambiguity_index']['mfe']['D-S'] > 0)
for group in essential_data_by_family
],
}
return pd.DataFrame(data=comparative_table), pd.DataFrame(data=mfe_table)
def generate_data_summary_table(essential_data_by_family):
table = {
'family': [GROUP_NAMES[group] for group in essential_data_by_family],
'number': [
essential_data_by_family[group]['n_molecules']
for group in essential_data_by_family
],
'number w/ pseudoknots': [
np.sum(essential_data_by_family[group]['n_pseudoknots'] > 0)
for group in essential_data_by_family
],
'min length': [
np.min(essential_data_by_family[group]['molecule_lengths'])
for group in essential_data_by_family
],
'max length': [
np.max(essential_data_by_family[group]['molecule_lengths'])
for group in essential_data_by_family
],
'median length': [
np.median(essential_data_by_family[group]['molecule_lengths'])
for group in essential_data_by_family
],
}
return pd.DataFrame(data=table)
def get_hypergeometric_p_value(values, labels):
M = len(values)
n = np.sum(values > 0)
N = np.sum(labels)
x = np.sum(values[labels == 1] > 0)
return hypergeom.cdf(x, M, n, N)
def latex_float(f):
float_str = "{0:.2g}".format(f)
if "e" in float_str:
base, exponent = float_str.split("e")
return r"{0} \times 10^{{{1}}}".format(base, int(exponent))
else:
return float_str
| 38.704698
| 88
| 0.565459
| 2,015
| 17,301
| 4.568238
| 0.091315
| 0.11157
| 0.102662
| 0.143726
| 0.83107
| 0.777404
| 0.74818
| 0.686257
| 0.681152
| 0.670071
| 0
| 0.006997
| 0.306052
| 17,301
| 446
| 89
| 38.79148
| 0.759703
| 0.003468
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| 0.167479
| 0.002436
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| 0.022277
| false
| 0
| 0.017327
| 0
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0
| 4
|
44fa232431252b465c02bc1391da70d7a159d203
| 1,830
|
py
|
Python
|
pylef/__init__.py
|
pfjarschel/pylef
|
9a577b94b9461e1057439dc3e46c6c5cee9da921
|
[
"MIT"
] | null | null | null |
pylef/__init__.py
|
pfjarschel/pylef
|
9a577b94b9461e1057439dc3e46c6c5cee9da921
|
[
"MIT"
] | 14
|
2017-03-08T17:25:39.000Z
|
2017-03-17T11:56:56.000Z
|
pylef/__init__.py
|
pfjarschel/pylef
|
9a577b94b9461e1057439dc3e46c6c5cee9da921
|
[
"MIT"
] | 4
|
2017-03-14T12:41:08.000Z
|
2022-03-08T18:09:33.000Z
|
# -*- coding: utf-8 -*-
"""
PyLEF v0.1.0
Compilamos aqui as bibliotecas de aquisição de dados
utilizados nos cursos do Laboratório de Ensino de
Física (LEF) do Instituto de Física Gleb Wataghin na
Unicamp.
Este projeto tem como objetivo facilitar a comunicação
com instrumentos utilizados nos cursos do IFGW. A
comunicação é realizada através do VISA (Virtual
Instrument Software Architecture), em particular da
biblioteca PyVISA.
Acesso à Documentação
---------------------
No momento, a documentação pode ser encontrada no
código por meio das 'docstrings'. As "docstrings"
podem ser acessadas por meio da função "help"
>>> import pylef # importa o pylef
>>> print(help(pylef)) # imprime esta documentação na tela
onde os três sinais de 'maior que' (>>>) designam um
código python. No Jupyter notebook, podemos também
acessar a documentação colocando uma interrogação (?)
antes da função
>>> ?pylef # imprime a documentação do pylef
Instrumentos
------------
Usaremos no curso dois instrumentos pricipais
* Gerador de Funções: BK Precision BK4052
* Osciloscópio Digital: Tektronix TBS1062
Ambos os instrumentos são definidos como objetos dentro
do PyLEF,
>>> gerador = pylef.BK452() # definição do gerador de funções
>>> scope = pylef.TBS1062() # definição do osciloscópio
A documentação das funções de cada instrumento podem
ser encontradas também pelo comando help
>>> print(help(scope)) # documentação do osciloscópio
>>> print(help(gerador)) # documentação do gerador
ou no Jupyter notebook
>>> ?scope # documentação do osciloscópio
>>> ?gerador # documentação do gerador
"""
## import instrument modules
from .scope import TektronixTBS1062
from .generator import BK4052
from .methods import sweep_frequency
| 28.59375
| 67
| 0.719672
| 229
| 1,830
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| 0.028875
| 0.031915
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| 0
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| 0
| 0.018443
| 0.2
| 1,830
| 63
| 68
| 29.047619
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| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
44fca6cd6671636214df7f4a3944403755c27ea1
| 35
|
py
|
Python
|
nautobot_circuit_maintenance/tests/__init__.py
|
nautobot/nautobot-plugin-circuit-maintenance
|
f77c8a55756b41bd75a0837d68b5bac152753853
|
[
"Apache-2.0"
] | 18
|
2021-05-13T19:02:32.000Z
|
2022-02-16T10:01:44.000Z
|
nautobot_circuit_maintenance/tests/__init__.py
|
nautobot/nautobot-plugin-circuit-maintenance
|
f77c8a55756b41bd75a0837d68b5bac152753853
|
[
"Apache-2.0"
] | 83
|
2021-05-05T15:03:13.000Z
|
2022-03-07T13:54:43.000Z
|
nautobot_circuit_maintenance/tests/__init__.py
|
nautobot/nautobot-plugin-circuit-maintenance
|
f77c8a55756b41bd75a0837d68b5bac152753853
|
[
"Apache-2.0"
] | 1
|
2021-12-05T21:07:25.000Z
|
2021-12-05T21:07:25.000Z
|
"""Test for Circuit Maintenace."""
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0
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780bdf26696bb3990f2bcbedae7fe6adcc26e419
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py
|
Python
|
clients/python-fastapi/generated/src/openapi_server/models/pipelinelatest_run.py
|
cliffano/jenkins-api-clients-generator
|
522d02b3a130a29471df5ec1d3d22c822b3d0813
|
[
"MIT"
] | null | null | null |
clients/python-fastapi/generated/src/openapi_server/models/pipelinelatest_run.py
|
cliffano/jenkins-api-clients-generator
|
522d02b3a130a29471df5ec1d3d22c822b3d0813
|
[
"MIT"
] | null | null | null |
clients/python-fastapi/generated/src/openapi_server/models/pipelinelatest_run.py
|
cliffano/jenkins-api-clients-generator
|
522d02b3a130a29471df5ec1d3d22c822b3d0813
|
[
"MIT"
] | null | null | null |
# coding: utf-8
from __future__ import annotations
from datetime import date, datetime # noqa: F401
import re # noqa: F401
from typing import Any, Dict, List, Optional # noqa: F401
from pydantic import AnyUrl, BaseModel, EmailStr, validator # noqa: F401
from openapi_server.models.pipelinelatest_runartifacts import PipelinelatestRunartifacts
class PipelinelatestRun(BaseModel):
"""NOTE: This class is auto generated by OpenAPI Generator (https://openapi-generator.tech).
Do not edit the class manually.
PipelinelatestRun - a model defined in OpenAPI
artifacts: The artifacts of this PipelinelatestRun [Optional].
duration_in_millis: The duration_in_millis of this PipelinelatestRun [Optional].
estimated_duration_in_millis: The estimated_duration_in_millis of this PipelinelatestRun [Optional].
en_queue_time: The en_queue_time of this PipelinelatestRun [Optional].
end_time: The end_time of this PipelinelatestRun [Optional].
id: The id of this PipelinelatestRun [Optional].
organization: The organization of this PipelinelatestRun [Optional].
pipeline: The pipeline of this PipelinelatestRun [Optional].
result: The result of this PipelinelatestRun [Optional].
run_summary: The run_summary of this PipelinelatestRun [Optional].
start_time: The start_time of this PipelinelatestRun [Optional].
state: The state of this PipelinelatestRun [Optional].
type: The type of this PipelinelatestRun [Optional].
commit_id: The commit_id of this PipelinelatestRun [Optional].
_class: The _class of this PipelinelatestRun [Optional].
"""
artifacts: Optional[List[PipelinelatestRunartifacts]] = None
duration_in_millis: Optional[int] = None
estimated_duration_in_millis: Optional[int] = None
en_queue_time: Optional[str] = None
end_time: Optional[str] = None
id: Optional[str] = None
organization: Optional[str] = None
pipeline: Optional[str] = None
result: Optional[str] = None
run_summary: Optional[str] = None
start_time: Optional[str] = None
state: Optional[str] = None
type: Optional[str] = None
commit_id: Optional[str] = None
_class: Optional[str] = None
PipelinelatestRun.update_forward_refs()
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0
| 4
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7870c2688fe6f6098919c7bed6dacd219fdd18af
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|
py
|
Python
|
resources_rc.py
|
mysiar/seismic-fold-calculation-ui
|
3d308bf68c643ed65cffec76e76d204a8252f581
|
[
"MIT"
] | null | null | null |
resources_rc.py
|
mysiar/seismic-fold-calculation-ui
|
3d308bf68c643ed65cffec76e76d204a8252f581
|
[
"MIT"
] | null | null | null |
resources_rc.py
|
mysiar/seismic-fold-calculation-ui
|
3d308bf68c643ed65cffec76e76d204a8252f581
|
[
"MIT"
] | 1
|
2021-01-30T12:27:23.000Z
|
2021-01-30T12:27:23.000Z
|
# -*- coding: utf-8 -*-
# Resource object code
#
# Created by: The Resource Compiler for PyQt5 (Qt v5.15.2)
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore
qt_resource_data = b"\
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qt_version = [int(v) for v in QtCore.qVersion().split('.')]
if qt_version < [5, 8, 0]:
rcc_version = 1
qt_resource_struct = qt_resource_struct_v1
else:
rcc_version = 2
qt_resource_struct = qt_resource_struct_v2
def qInitResources():
QtCore.qRegisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
def qCleanupResources():
QtCore.qUnregisterResourceData(rcc_version, qt_resource_struct, qt_resource_name, qt_resource_data)
qInitResources()
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7877ee9fd93ae1c06fbf3b94827b2303c45d354f
| 7,296
|
py
|
Python
|
architectures.py
|
Vicent-xd/Residual_autoencoding
|
0aa22db424b4696a751882aaaf7669bfe0180e92
|
[
"MIT"
] | 432
|
2016-02-14T04:10:32.000Z
|
2022-01-08T14:38:20.000Z
|
architectures.py
|
zhangqianhui/autoencoding_beyond_pixels
|
24aa0f20f1a73a3886551e065bbda818ad139ac2
|
[
"MIT"
] | 13
|
2016-03-15T03:04:47.000Z
|
2020-09-23T11:51:35.000Z
|
architectures.py
|
zhangqianhui/autoencoding_beyond_pixels
|
24aa0f20f1a73a3886551e065bbda818ad139ac2
|
[
"MIT"
] | 107
|
2016-02-19T13:32:44.000Z
|
2022-01-29T06:09:22.000Z
|
import numpy as np
import deeppy as dp
import deeppy.expr as ex
import model.ae
def affine(n_out, gain, wdecay=0.0, bias=0.0):
if bias is None:
return ex.nnet.Linear(
n_out=n_out,
weights=dp.Parameter(dp.AutoFiller(gain), weight_decay=wdecay),
)
else:
return ex.nnet.Affine(
n_out=n_out, bias=bias,
weights=dp.Parameter(dp.AutoFiller(gain), weight_decay=wdecay),
)
def conv(n_filters, filter_size, stride=1, gain=1.0, wdecay=0.0,
bias=0.0, border_mode='same'):
return ex.nnet.Convolution(
n_filters=n_filters, strides=(stride, stride),
weights=dp.Parameter(dp.AutoFiller(gain), weight_decay=wdecay),
bias=bias, filter_shape=(filter_size, filter_size),
border_mode=border_mode,
)
def backconv(n_filters, filter_size, stride=2, gain=1.0, wdecay=0.0,
bias=0.0):
return ex.nnet.BackwardConvolution(
n_filters=n_filters, strides=(stride, stride),
weights=dp.Parameter(dp.AutoFiller(gain), weight_decay=wdecay),
bias=bias, filter_shape=(filter_size, filter_size), border_mode='same',
)
def pool(method='max', win_size=3, stride=2, border_mode='same'):
return ex.nnet.Pool(win_shape=(win_size, win_size), method=method,
strides=(stride, stride), border_mode=border_mode)
def vae_latent_encoder(n_hidden):
latent_encoder = model.ae.NormalEncoder(n_hidden, dp.AutoFiller())
return latent_encoder
def aae_latent_encoder(n_hidden, n_discriminator=1024, recon_weight=0.025):
wgain = 1.0
discriminator = ex.Sequential([
affine(n_discriminator, wgain, bias=None),
ex.nnet.BatchNormalization(),
ex.nnet.ReLU(),
affine(n_discriminator, wgain, bias=None),
ex.nnet.BatchNormalization(),
ex.nnet.ReLU(),
affine(1, wgain),
ex.nnet.Sigmoid(),
])
latent_encoder = model.ae.AdversarialEncoder(
n_hidden, discriminator, dp.AutoFiller(), recon_weight=recon_weight,
)
return latent_encoder
def mnist(wgain=1.0, wdecay=0, bn_noise_std=0.0, n_units=1024):
img_shape = (28, 28)
n_in = np.prod(img_shape)
n_encoder = n_units
n_decoder = n_units
n_discriminator = n_units
def block(n_out):
return [
affine(n_encoder, wgain, wdecay=wdecay),
ex.nnet.BatchNormalization(noise_std=bn_noise_std),
ex.nnet.ReLU(),
]
encoder = ex.Sequential(
block(n_encoder) +
block(n_encoder)
)
decoder = ex.Sequential(
block(n_decoder) +
block(n_decoder) +
[
affine(n_in, wgain),
ex.nnet.Sigmoid(),
]
)
discriminator = ex.Sequential(
block(n_discriminator) +
block(n_discriminator) +
[
affine(1, wgain),
ex.nnet.Sigmoid(),
]
)
return encoder, decoder, discriminator
def img32x32(wgain=1.0, wdecay=1e-5, bn_mom=0.9, bn_eps=1e-6,
bn_noise_std=0.0):
n_channels = 3
n_encoder = 1024
n_discriminator = 512
decode_from_shape = (256, 4, 4)
n_decoder = np.prod(decode_from_shape)
def conv_block(n_filters, backward=False):
block = []
if backward:
block.append(backconv(n_filters, 5, stride=2, gain=wgain,
wdecay=wdecay, bias=None))
else:
block.append(conv(n_filters, 5, stride=2, gain=wgain,
wdecay=wdecay, bias=None))
block.append(ex.nnet.SpatialBatchNormalization(
momentum=bn_mom, eps=bn_eps, noise_std=bn_noise_std
))
block.append(ex.nnet.ReLU())
return block
encoder = ex.Sequential(
conv_block(64) +
conv_block(128) +
conv_block(256) +
[
ex.Flatten(),
affine(n_encoder, gain=wgain, wdecay=wdecay, bias=None),
ex.nnet.BatchNormalization(noise_std=bn_noise_std),
ex.nnet.ReLU(),
]
)
decoder = ex.Sequential(
[
affine(n_decoder, gain=wgain, wdecay=wdecay, bias=None),
ex.nnet.BatchNormalization(noise_std=bn_noise_std),
ex.nnet.ReLU(),
ex.Reshape((-1,) + decode_from_shape),
] +
conv_block(192, backward=True) +
conv_block(128, backward=True) +
conv_block(32, backward=True) +
[
conv(n_channels, 5, wdecay=wdecay, gain=wgain),
ex.Tanh(),
]
)
discriminator = ex.Sequential(
[
conv(32, 5, wdecay=wdecay, gain=wgain),
ex.nnet.ReLU(),
] +
conv_block(128) +
conv_block(192) +
conv_block(256) +
[
ex.Flatten(),
affine(n_discriminator, gain=wgain, wdecay=wdecay, bias=None),
ex.nnet.BatchNormalization(noise_std=bn_noise_std),
ex.nnet.ReLU(),
affine(1, gain=wgain, wdecay=wdecay),
ex.nnet.Sigmoid(),
]
)
return encoder, decoder, discriminator
def img64x64(wgain=1.0, wdecay=1e-5, bn_mom=0.9, bn_eps=1e-6,
bn_noise_std=0.0):
n_channels = 3
n_encoder = 1024
n_discriminator = 512
decode_from_shape = (256, 8, 8)
n_decoder = np.prod(decode_from_shape)
def conv_block(n_filters, backward=False):
block = []
if backward:
block.append(backconv(n_filters, 5, stride=2, gain=wgain,
wdecay=wdecay, bias=None))
else:
block.append(conv(n_filters, 5, stride=2, gain=wgain,
wdecay=wdecay, bias=None))
block.append(ex.nnet.SpatialBatchNormalization(
momentum=bn_mom, eps=bn_eps, noise_std=bn_noise_std
))
block.append(ex.nnet.ReLU())
return block
encoder = ex.Sequential(
conv_block(64) +
conv_block(128) +
conv_block(256) +
[
ex.Flatten(),
affine(n_encoder, gain=wgain, wdecay=wdecay, bias=None),
ex.nnet.BatchNormalization(noise_std=bn_noise_std),
ex.nnet.ReLU(),
]
)
decoder = ex.Sequential(
[
affine(n_decoder, gain=wgain, wdecay=wdecay, bias=None),
ex.nnet.BatchNormalization(noise_std=bn_noise_std),
ex.nnet.ReLU(),
ex.Reshape((-1,) + decode_from_shape),
] +
conv_block(256, backward=True) +
conv_block(128, backward=True) +
conv_block(32, backward=True) +
[
conv(n_channels, 5, wdecay=wdecay, gain=wgain),
ex.Tanh(),
]
)
discriminator = ex.Sequential(
[
conv(32, 5, wdecay=wdecay, gain=wgain),
ex.nnet.ReLU(),
] +
conv_block(128) +
conv_block(256) +
conv_block(256) +
[
ex.Flatten(),
affine(n_discriminator, gain=wgain, wdecay=wdecay, bias=None),
ex.nnet.BatchNormalization(noise_std=bn_noise_std),
ex.nnet.ReLU(),
affine(1, gain=wgain, wdecay=wdecay),
ex.nnet.Sigmoid(),
]
)
return encoder, decoder, discriminator
| 30.14876
| 79
| 0.575247
| 886
| 7,296
| 4.549661
| 0.11851
| 0.050608
| 0.03225
| 0.062516
| 0.763582
| 0.738526
| 0.710494
| 0.710494
| 0.697594
| 0.662367
| 0
| 0.033333
| 0.305099
| 7,296
| 241
| 80
| 30.273859
| 0.761736
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| 0
| 0.605634
| 0
| 0
| 0.002056
| 0
| 0
| 0
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| 0
| 0
| 1
| 0.056338
| false
| 0
| 0.018779
| 0.018779
| 0.13615
| 0
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| 0
| 0
| null | 0
| 0
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| 0
| 1
| 1
| 1
| 0
| 1
| 0
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| 0
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| 0
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| null | 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
789af4bb376c99e3b965341cbb33bf1557cd56bf
| 55
|
py
|
Python
|
gym_connect4/envs/__init__.py
|
ColdFrenzy/gym-connect4
|
7ac3eeafea12ee08862f1e6780aef6bd57c82207
|
[
"MIT"
] | 5
|
2020-03-28T17:23:06.000Z
|
2021-06-19T11:28:04.000Z
|
gym_connect4/envs/__init__.py
|
ColdFrenzy/gym-connect4
|
7ac3eeafea12ee08862f1e6780aef6bd57c82207
|
[
"MIT"
] | 1
|
2020-05-16T01:03:15.000Z
|
2020-05-28T13:54:12.000Z
|
gym_connect4/envs/__init__.py
|
ColdFrenzy/gym-connect4
|
7ac3eeafea12ee08862f1e6780aef6bd57c82207
|
[
"MIT"
] | 2
|
2020-05-11T16:02:23.000Z
|
2021-01-03T15:17:39.000Z
|
from gym_connect4.envs.connect4_env import Connect4Env
| 27.5
| 54
| 0.890909
| 8
| 55
| 5.875
| 0.875
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0.058824
| 0.072727
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| 0.862745
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| 0
|
0
| 4
|
78c83c63ff835cc1789294ac934b1616d3826e1f
| 253
|
py
|
Python
|
safe_grid_agents/parsing/__init__.py
|
alok/safe-grid-agents
|
6cc12db29d2209f11144fc082b6cb8f81457c0d4
|
[
"Apache-2.0"
] | null | null | null |
safe_grid_agents/parsing/__init__.py
|
alok/safe-grid-agents
|
6cc12db29d2209f11144fc082b6cb8f81457c0d4
|
[
"Apache-2.0"
] | null | null | null |
safe_grid_agents/parsing/__init__.py
|
alok/safe-grid-agents
|
6cc12db29d2209f11144fc082b6cb8f81457c0d4
|
[
"Apache-2.0"
] | null | null | null |
core_config = 'safe_grid_agents/parsing/core_parser_configs.yaml'
agent_config = 'safe_grid_agents/parsing/agent_parser_configs.yaml'
env_config = 'safe_grid_agents/parsing/env_parser_configs.yaml'
from .parse import prepare_parser, env_map, agent_map
| 42.166667
| 67
| 0.853755
| 39
| 253
| 5.076923
| 0.410256
| 0.151515
| 0.212121
| 0.30303
| 0.409091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.063241
| 253
| 5
| 68
| 50.6
| 0.835443
| 0
| 0
| 0
| 0
| 0
| 0.581028
| 0.581028
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
158d4c65c1d3270811d5006c0a8b5db5ea61fd6b
| 657
|
py
|
Python
|
hmi/pages/page0.py
|
z1mEk/CamPanel2
|
1474931f913e7137e228323061f058a612310e4a
|
[
"MIT"
] | null | null | null |
hmi/pages/page0.py
|
z1mEk/CamPanel2
|
1474931f913e7137e228323061f058a612310e4a
|
[
"MIT"
] | null | null | null |
hmi/pages/page0.py
|
z1mEk/CamPanel2
|
1474931f913e7137e228323061f058a612310e4a
|
[
"MIT"
] | null | null | null |
from hmi.pages import controls
from hmi import hmi, methods
async def Show():
await hmi.client.command('page 0')
class b0(controls.TButton):
name = 'page0.b0'
pass
class j0(controls.TProgressBar):
name = 'page0.j0'
pass
class j1(controls.TProgressBar):
name = 'page0.j1'
pass
class t2(controls.TText):
name = 'page0.t2'
pass
class t3(controls.TText):
name = 'page0.t3'
pass
class t4(controls.TText):
name = 'page0.t4'
pass
class t5(controls.TText):
name = 'page0.t5'
pass
class t6(controls.TText):
name = 'page0.t6'
pass
class t7(controls.TText):
name = 'page0.t7'
pass
| 16.02439
| 38
| 0.636225
| 91
| 657
| 4.593407
| 0.32967
| 0.19378
| 0.244019
| 0.315789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.055888
| 0.237443
| 657
| 41
| 39
| 16.02439
| 0.778443
| 0
| 0
| 0.290323
| 0
| 0
| 0.118541
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.290323
| 0.064516
| 0
| 0.645161
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
158f528627592452f617c88bafc334eebe249fc5
| 223
|
py
|
Python
|
admin.py
|
stfab/restaurant_homepage
|
60719493c14bdb707711f648acd5b2ad50e8780c
|
[
"MIT"
] | null | null | null |
admin.py
|
stfab/restaurant_homepage
|
60719493c14bdb707711f648acd5b2ad50e8780c
|
[
"MIT"
] | null | null | null |
admin.py
|
stfab/restaurant_homepage
|
60719493c14bdb707711f648acd5b2ad50e8780c
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Image)
admin.site.register(Menu)
admin.site.register(Dish)
admin.site.register(Staff)
admin.site.register(Reservation)
| 24.777778
| 32
| 0.807175
| 32
| 223
| 5.625
| 0.46875
| 0.25
| 0.472222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080717
| 223
| 9
| 33
| 24.777778
| 0.878049
| 0.116592
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.285714
| 0
| 0.285714
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
15a0af5fdd42c459ab662838ba12ca8fc49687b7
| 2,339
|
py
|
Python
|
nbs/dl2/expDJ/nb_6DJ.py
|
NachoDave/fastai-v3
|
4b3b8206a53dd81fa46ff0ee8431f886164db884
|
[
"Apache-2.0"
] | null | null | null |
nbs/dl2/expDJ/nb_6DJ.py
|
NachoDave/fastai-v3
|
4b3b8206a53dd81fa46ff0ee8431f886164db884
|
[
"Apache-2.0"
] | null | null | null |
nbs/dl2/expDJ/nb_6DJ.py
|
NachoDave/fastai-v3
|
4b3b8206a53dd81fa46ff0ee8431f886164db884
|
[
"Apache-2.0"
] | null | null | null |
#################################################
### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
#################################################
# file to edit: dev_nb/6DJ.ipynb
from expDJ.nb_4Dj import *
# Function to normalize the trainig data and validation data
def normalize_to(train, valid):
m,s = train.mean(),train.std()
return normalize(train, m, s), normalize(valid, m, s)
# Reform MNIST data
class LambdaDJ(nn.Module):
def __init__(self, func):
super().__init__()
self.func = func
def forward(self, x): return self.func(x)
def flatten(x): return x.view(x.shape[0], -1)
def resize_MNIST(x): return x.view(-1, 1, 28, 28)
class ListContainer():
def __init__(self, items): self.items = listify(items)
def __getitem__(self, idx):
if isinstance(idx, (int,slice)): return self.items[idx]
if isinstance(idx[0],bool):
assert len(idx)==len(self) # bool mask
return [o for m,o in zip(idx,self.items) if m]
return [self.items[i] for i in idx]
def __len__(self): return len(self.items)
def __iter__(self): return iter(self.items)
def __setitem__(self, i, o): self.items[i] = o
def __delitem__(self, i): del(self.items[i])
def __repr__(self):
res = f'{self.__class__.__name__} ({len(self)} items)\n{self.items[:10]}'
if len(self)>10: res = res[:-1]+ '...]'
return res
class Hook():
def __init__(self, mLyr, func):
self.hook = mLyr.register_forward_hook(partial(func, self))
def remove(self): self.hook.remove()
def __del__(self): self.remove()
def append_stats(hook, mod, inp, outp):
if not hasattr(hook,'stats'): hook.stats = ([],[], [])
means,stds, meds = hook.stats
means.append(outp.data.mean())
stds.append(outp.data.std())
meds.append(outp.data.median())
## test
from torch.nn import init
class HooksDJ(ListContainer):
def __init__(self, f, ms): # f is the function, m is the model
super().__init__([Hook(m, f) for m in ms])
def __enter__(self, *args): return self
def __exit__(self, *args): self.remove()
def __del__(self):
self.remove()
def __delitem__(self, i):
self[i].remove
super.__delitem__(i)
def remove(self):
for dx in self:
dx.remove()
| 25.988889
| 81
| 0.594271
| 331
| 2,339
| 3.936556
| 0.311178
| 0.075979
| 0.033768
| 0.018419
| 0.044513
| 0.044513
| 0.044513
| 0
| 0
| 0
| 0
| 0.008767
| 0.219752
| 2,339
| 89
| 82
| 26.280899
| 0.705205
| 0.085079
| 0
| 0
| 1
| 0.019231
| 0.036085
| 0.024716
| 0
| 0
| 0
| 0
| 0.019231
| 1
| 0.423077
| false
| 0
| 0.038462
| 0.115385
| 0.615385
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
15b429c30b9a3f5b548f8c0ebc17faaa76b946cd
| 3,542
|
py
|
Python
|
tests/providers/test_credit_card.py
|
oeuftete/faker
|
6894660b8f6cfdd73f99fda1d60274ad9e42eb20
|
[
"MIT"
] | 1
|
2019-11-09T14:47:20.000Z
|
2019-11-09T14:47:20.000Z
|
tests/providers/test_credit_card.py
|
oeuftete/faker
|
6894660b8f6cfdd73f99fda1d60274ad9e42eb20
|
[
"MIT"
] | 5
|
2019-10-31T10:17:41.000Z
|
2019-11-08T11:47:29.000Z
|
tests/providers/test_credit_card.py
|
oeuftete/faker
|
6894660b8f6cfdd73f99fda1d60274ad9e42eb20
|
[
"MIT"
] | null | null | null |
# coding=utf-8
import re
import unittest
import faker
from faker.providers import credit_card
class MastercardGeneratorTestCase(unittest.TestCase):
def setUp(self):
self.base_provider = credit_card.Provider(faker.generator.Generator())
self.factory = faker.Faker(locale='en_US')
self.pattern = r'^(?:5[1-5][0-9]{2}|222[1-9]|22[3-9][0-9]|2[3-6][0-9]{2}|27[01][0-9]|2720)[0-9]{12}$'
def test_mastercard(self):
prefix_all = ['51', '52', '53', '54', '55', '222%', '223', '224', '225',
'226', '227', '228', '229', '23', '24', '25', '26', '270',
'271', '2720']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 16)
assert re.match(self.pattern, number)
class VisaGeneratorTestCase(unittest.TestCase):
def setUp(self):
self.base_provider = credit_card.Provider(faker.generator.Generator())
self.factory = faker.Faker(locale='en_US')
self.pattern = r'^4[0-9]{12}([0-9]{3}){0,2}$'
def test_visa13(self):
prefix_all = ['4']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 13)
assert re.match(self.pattern, number)
def test_visa16(self):
prefix_all = ['4']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 16)
assert re.match(self.pattern, number)
def test_visa19(self):
prefix_all = ['4']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 19)
assert re.match(self.pattern, number)
class DiscoverGeneratorTestCase(unittest.TestCase):
def setUp(self):
self.base_provider = credit_card.Provider(faker.generator.Generator())
self.factory = faker.Faker(locale='en_US')
self.pattern = r'^6(?:011|5[0-9]{2})[0-9]{12}$'
def test_discover(self):
prefix_all = ['6011', '65']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 16)
assert re.match(self.pattern, number)
class DinersClubGeneratorTestCase(unittest.TestCase):
def setUp(self):
self.base_provider = credit_card.Provider(faker.generator.Generator())
self.factory = faker.Faker(locale='en_US')
self.pattern = r'^3(?:0[0-5]|[68][0-9])[0-9]{11}$'
def test_diners_club(self):
prefix_all = ['300', '301', '302', '303', '304', '305', '36', '38']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 14)
assert re.match(self.pattern, number)
class JCBGeneratorTestCase(unittest.TestCase):
def setUp(self):
self.base_provider = credit_card.Provider(faker.generator.Generator())
self.factory = faker.Faker(locale='en_US')
self.pattern = r'^(?:2131|1800|35\d{3})\d{11}$'
def test_jcb16(self):
prefix_all = ['35']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 16)
assert re.match(self.pattern, number)
def test_jcb15(self):
prefix_all = ['2131', '1800']
for prefix in prefix_all:
number = credit_card.Provider._generate_number(self.base_provider, prefix, 15)
assert re.match(self.pattern, number)
| 38.086022
| 109
| 0.628458
| 469
| 3,542
| 4.590618
| 0.217484
| 0.066883
| 0.096609
| 0.063168
| 0.758477
| 0.748258
| 0.734324
| 0.701811
| 0.684626
| 0.684626
| 0
| 0.074317
| 0.225014
| 3,542
| 92
| 110
| 38.5
| 0.710018
| 0.003388
| 0
| 0.535211
| 0
| 0.028169
| 0.09042
| 0.056689
| 0
| 0
| 0
| 0
| 0.112676
| 1
| 0.183099
| false
| 0
| 0.056338
| 0
| 0.309859
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ec6c52f94ca96dbd4f53a8bf26882c76e7263012
| 350
|
py
|
Python
|
pyseas/contrib/__init__.py
|
GlobalFishingWatch/pyseas
|
7559c4e07db3f7df8d42281029b793c8a30c552c
|
[
"Apache-2.0"
] | 1
|
2021-11-04T01:49:59.000Z
|
2021-11-04T01:49:59.000Z
|
pyseas/contrib/__init__.py
|
GlobalFishingWatch/pyseas
|
7559c4e07db3f7df8d42281029b793c8a30c552c
|
[
"Apache-2.0"
] | 7
|
2021-07-15T00:16:13.000Z
|
2021-11-30T13:50:26.000Z
|
pyseas/contrib/__init__.py
|
GlobalFishingWatch/pyseas
|
7559c4e07db3f7df8d42281029b793c8a30c552c
|
[
"Apache-2.0"
] | 1
|
2021-11-04T01:51:34.000Z
|
2021-11-04T01:51:34.000Z
|
from .plot_tracks import track_state_panel
from .plot_tracks import multi_track_panel
from .plot_tracks import find_projection
def _reload():
"""Reload modules during development
Note: Not 100% reliable!
"""
import imp
from . import plot_tracks
from pyseas import contrib
imp.reload(plot_tracks)
imp.reload(contrib)
| 23.333333
| 42
| 0.74
| 47
| 350
| 5.276596
| 0.468085
| 0.201613
| 0.169355
| 0.241935
| 0.201613
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010676
| 0.197143
| 350
| 15
| 43
| 23.333333
| 0.871886
| 0.168571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| true
| 0
| 0.666667
| 0
| 0.777778
| 0
| 0
| 0
| 0
| null | 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ec6d287a072bff5b102d57c40d002ec9851140f8
| 218
|
py
|
Python
|
simple_chain.py
|
devjunhong/simpleChain
|
0adfe7f60ba0b8b8cfa0ed0469e2ec0423f8b05d
|
[
"MIT"
] | null | null | null |
simple_chain.py
|
devjunhong/simpleChain
|
0adfe7f60ba0b8b8cfa0ed0469e2ec0423f8b05d
|
[
"MIT"
] | null | null | null |
simple_chain.py
|
devjunhong/simpleChain
|
0adfe7f60ba0b8b8cfa0ed0469e2ec0423f8b05d
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
class Block(object):
def __init__(self):
print("Block")
class Chain(object):
def __init__(self):
print("Chain")
def main():
b = Block()
c = Chain()
if __name__ == "__main__":
main()
| 13.625
| 26
| 0.619266
| 29
| 218
| 4.103448
| 0.551724
| 0.151261
| 0.218487
| 0.285714
| 0.369748
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192661
| 218
| 16
| 27
| 13.625
| 0.676136
| 0.073395
| 0
| 0.181818
| 0
| 0
| 0.089109
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.272727
| false
| 0
| 0
| 0
| 0.454545
| 0.181818
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ec7fa53a7dbe874a344b5491b0c587149095fb81
| 115
|
py
|
Python
|
setup.py
|
FabienTaxil/ftd
|
a36e0ca59eb60e216a5de1eb93d1089a7f080ec7
|
[
"MIT"
] | 3
|
2022-01-26T23:43:16.000Z
|
2022-02-11T07:50:49.000Z
|
setup.py
|
lixaft/ftd
|
a36e0ca59eb60e216a5de1eb93d1089a7f080ec7
|
[
"MIT"
] | null | null | null |
setup.py
|
lixaft/ftd
|
a36e0ca59eb60e216a5de1eb93d1089a7f080ec7
|
[
"MIT"
] | null | null | null |
"""Configure the package using setuptools."""
import setuptools
if __name__ == "__main__":
setuptools.setup()
| 19.166667
| 45
| 0.721739
| 12
| 115
| 6.25
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.147826
| 115
| 5
| 46
| 23
| 0.765306
| 0.33913
| 0
| 0
| 0
| 0
| 0.114286
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
ec90da701161daa8a276a4b57ff478ec48bc5c7c
| 16,641
|
py
|
Python
|
chrome/installer/mac/signing/modification_test.py
|
mghgroup/Glide-Browser
|
6a4c1eaa6632ec55014fee87781c6bbbb92a2af5
|
[
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null |
chrome/installer/mac/signing/modification_test.py
|
mghgroup/Glide-Browser
|
6a4c1eaa6632ec55014fee87781c6bbbb92a2af5
|
[
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | null | null | null |
chrome/installer/mac/signing/modification_test.py
|
mghgroup/Glide-Browser
|
6a4c1eaa6632ec55014fee87781c6bbbb92a2af5
|
[
"BSD-3-Clause-No-Nuclear-License-2014",
"BSD-3-Clause"
] | 2
|
2021-01-05T23:43:46.000Z
|
2021-01-07T23:36:34.000Z
|
# Copyright 2019 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import unittest
from . import model, modification, test_common, test_config
mock = test_common.import_mock()
def plist_read(*args):
bundle_id = test_config.TestConfig().base_bundle_id
plists = {
'/$W/App Product.app/Contents/Info.plist': {
'CFBundleIdentifier': bundle_id,
'CFBundleName': 'Product',
'KSProductID': 'test.ksproduct',
'KSChannelID-full': '-full',
},
'/$W/App Product Canary.app/Contents/Frameworks/Product Framework.framework/XPCServices/AlertNotificationService.xpc/Contents/Info.plist':
{
'CFBundleIdentifier':
bundle_id + '.AlertNotificationService.xpc'
},
'/$W/app-entitlements.plist': {
'com.apple.application-identifier': bundle_id
},
'/$W/helper-renderer-entitlements.plist': {},
'/$W/helper-gpu-entitlements.plist': {},
'/$W/helper-plugin-entitlements.plist': {},
'/$W/App Product Canary.app/Contents/Resources/test.signing.bundle_id.canary.manifest/Contents/Resources/test.signing.bundle_id.canary.manifest':
{
'pfm_domain': bundle_id
}
}
plists['/$W/App Product Canary.app/Contents/Info.plist'] = plists[
'/$W/App Product.app/Contents/Info.plist']
return plists[args[0]]
@mock.patch('signing.commands.plistlib',
**{'readPlist.side_effect': plist_read})
@mock.patch.multiple(
'signing.commands', **{
m: mock.DEFAULT for m in ('copy_files', 'move_file', 'make_dir',
'write_file', 'run_command')
})
class TestModification(unittest.TestCase):
def setUp(self):
self.paths = model.Paths('/$I', '/$O', '/$W')
self.config = test_config.TestConfig()
def _is_framework_unchanged(self, plistlib, mocks):
# Determines whether any modifications were made within the framework
# according to calls to plistlib.writePlist or any of the mocked calls
# in |mocks|. This is done by examining the calls' arguments for a
# substring pointing into the framework.
def _do_mock_calls_mention_framework(mock_calls):
for call in mock_calls:
for tup in call:
for arg in tup:
# Don't anchor this substring in a particular directory
# because it may appear in any of /$I, /$O, or /$W. Don't
# anchor it with App Product.app either, because it may
# be renamed (to App Product Canary.app).
if 'Contents/Frameworks/Product Framework.framework' in arg:
return True
return False
if _do_mock_calls_mention_framework(plistlib.writePlist.mock_calls):
return False
for mocked in mocks.values():
if _do_mock_calls_mention_framework(mocked):
return False
return True
def test_base_distribution(self, plistlib, **kwargs):
dist = model.Distribution()
config = dist.to_config(self.config)
modification.customize_distribution(self.paths, dist, config)
self.assertEqual(1, plistlib.writePlist.call_count)
plistlib.writePlist.assert_called_with(
{
'CFBundleIdentifier': config.base_bundle_id,
'CFBundleName': 'Product',
'KSProductID': 'test.ksproduct',
'KSChannelID-full': '-full'
},
'/$W/App Product.app/Contents/Info.plist',
)
self.assertEqual(4, kwargs['copy_files'].call_count)
kwargs['copy_files'].assert_has_calls([
mock.call('/$I/Product Packaging/app-entitlements.plist',
'/$W/app-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-gpu-entitlements.plist',
'/$W/helper-gpu-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-plugin-entitlements.plist',
'/$W/helper-plugin-entitlements.plist'),
mock.call(
'/$I/Product Packaging/helper-renderer-entitlements.plist',
'/$W/helper-renderer-entitlements.plist'),
])
self.assertEqual(0, kwargs['move_file'].call_count)
self.assertEqual(0, kwargs['write_file'].call_count)
self.assertTrue(self._is_framework_unchanged(plistlib, kwargs))
def test_distribution_with_brand(self, plistlib, **kwargs):
dist = model.Distribution(branding_code='MOO')
config = dist.to_config(self.config)
modification.customize_distribution(self.paths, dist, config)
self.assertEqual(1, plistlib.writePlist.call_count)
plistlib.writePlist.assert_called_with(
{
'CFBundleIdentifier': config.base_bundle_id,
'CFBundleName': 'Product',
'KSProductID': 'test.ksproduct',
'KSBrandID': 'MOO',
'KSChannelID-full': '-full'
},
'/$W/App Product.app/Contents/Info.plist',
)
self.assertEqual(4, kwargs['copy_files'].call_count)
kwargs['copy_files'].assert_has_calls([
mock.call('/$I/Product Packaging/app-entitlements.plist',
'/$W/app-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-gpu-entitlements.plist',
'/$W/helper-gpu-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-plugin-entitlements.plist',
'/$W/helper-plugin-entitlements.plist'),
mock.call(
'/$I/Product Packaging/helper-renderer-entitlements.plist',
'/$W/helper-renderer-entitlements.plist'),
])
self.assertEqual(0, kwargs['move_file'].call_count)
self.assertTrue(self._is_framework_unchanged(plistlib, kwargs))
def test_distribution_with_channel(self, plistlib, **kwargs):
dist = model.Distribution(channel='dev')
config = dist.to_config(self.config)
modification.customize_distribution(self.paths, dist, config)
self.assertEqual(1, plistlib.writePlist.call_count)
plistlib.writePlist.assert_called_with(
{
'CFBundleIdentifier': config.base_bundle_id,
'CFBundleName': 'Product',
'KSProductID': 'test.ksproduct',
'KSChannelID': 'dev',
'KSChannelID-full': 'dev-full'
},
'/$W/App Product.app/Contents/Info.plist',
)
self.assertEqual(4, kwargs['copy_files'].call_count)
kwargs['copy_files'].assert_has_calls([
mock.call('/$I/Product Packaging/app-entitlements.plist',
'/$W/app-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-gpu-entitlements.plist',
'/$W/helper-gpu-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-plugin-entitlements.plist',
'/$W/helper-plugin-entitlements.plist'),
mock.call(
'/$I/Product Packaging/helper-renderer-entitlements.plist',
'/$W/helper-renderer-entitlements.plist'),
])
self.assertEqual(0, kwargs['move_file'].call_count)
self.assertEqual(0, kwargs['write_file'].call_count)
self.assertTrue(self._is_framework_unchanged(plistlib, kwargs))
def test_distribution_with_product_dirname(self, plistlib, **kwargs):
dist = model.Distribution(product_dirname='Farmland/Cows')
config = dist.to_config(self.config)
modification.customize_distribution(self.paths, dist, config)
self.assertEqual(1, plistlib.writePlist.call_count)
plistlib.writePlist.assert_called_with(
{
'CFBundleIdentifier': config.base_bundle_id,
'CFBundleName': 'Product',
'KSProductID': 'test.ksproduct',
'KSChannelID-full': '-full',
'CrProductDirName': 'Farmland/Cows'
},
'/$W/App Product.app/Contents/Info.plist',
)
self.assertEqual(4, kwargs['copy_files'].call_count)
kwargs['copy_files'].assert_has_calls([
mock.call('/$I/Product Packaging/app-entitlements.plist',
'/$W/app-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-gpu-entitlements.plist',
'/$W/helper-gpu-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-plugin-entitlements.plist',
'/$W/helper-plugin-entitlements.plist'),
mock.call(
'/$I/Product Packaging/helper-renderer-entitlements.plist',
'/$W/helper-renderer-entitlements.plist'),
])
self.assertEqual(0, kwargs['move_file'].call_count)
self.assertEqual(0, kwargs['write_file'].call_count)
self.assertTrue(self._is_framework_unchanged(plistlib, kwargs))
def test_distribution_with_creator_code(self, plistlib, **kwargs):
dist = model.Distribution(creator_code='Mooo')
config = dist.to_config(self.config)
modification.customize_distribution(self.paths, dist, config)
self.assertEqual(1, plistlib.writePlist.call_count)
plistlib.writePlist.assert_called_with(
{
'CFBundleIdentifier': config.base_bundle_id,
'CFBundleName': 'Product',
'KSProductID': 'test.ksproduct',
'KSChannelID-full': '-full',
'CFBundleSignature': 'Mooo'
},
'/$W/App Product.app/Contents/Info.plist',
)
self.assertEqual(4, kwargs['copy_files'].call_count)
kwargs['copy_files'].assert_has_calls([
mock.call('/$I/Product Packaging/app-entitlements.plist',
'/$W/app-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-gpu-entitlements.plist',
'/$W/helper-gpu-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-plugin-entitlements.plist',
'/$W/helper-plugin-entitlements.plist'),
mock.call(
'/$I/Product Packaging/helper-renderer-entitlements.plist',
'/$W/helper-renderer-entitlements.plist'),
])
kwargs['write_file'].assert_called_once_with(
'/$W/App Product.app/Contents/PkgInfo', 'APPLMooo')
self.assertEqual(0, kwargs['move_file'].call_count)
def test_distribution_with_brand_and_channel(self, plistlib, **kwargs):
dist = model.Distribution(channel='beta', branding_code='RAWR')
config = dist.to_config(self.config)
modification.customize_distribution(self.paths, dist, config)
self.assertEqual(1, plistlib.writePlist.call_count)
plistlib.writePlist.assert_called_with(
{
'CFBundleIdentifier': config.base_bundle_id,
'CFBundleName': 'Product',
'KSProductID': 'test.ksproduct',
'KSChannelID': 'beta',
'KSChannelID-full': 'beta-full',
'KSBrandID': 'RAWR'
},
'/$W/App Product.app/Contents/Info.plist',
)
self.assertEqual(4, kwargs['copy_files'].call_count)
kwargs['copy_files'].assert_has_calls([
mock.call('/$I/Product Packaging/app-entitlements.plist',
'/$W/app-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-gpu-entitlements.plist',
'/$W/helper-gpu-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-plugin-entitlements.plist',
'/$W/helper-plugin-entitlements.plist'),
mock.call(
'/$I/Product Packaging/helper-renderer-entitlements.plist',
'/$W/helper-renderer-entitlements.plist'),
])
self.assertEqual(0, kwargs['move_file'].call_count)
self.assertEqual(0, kwargs['write_file'].call_count)
def test_customize_channel(self, plistlib, **kwargs):
dist = model.Distribution(
channel='canary',
app_name_fragment='Canary',
product_dirname='Acme/Product Canary',
creator_code='Mooo',
channel_customize=True)
config = dist.to_config(self.config)
modification.customize_distribution(self.paths, dist, config)
# Order of file moves is significant.
self.assertEqual(kwargs['move_file'].mock_calls, [
mock.call('/$W/App Product.app', '/$W/App Product Canary.app'),
mock.call(
'/$W/App Product Canary.app/Contents/MacOS/App Product',
'/$W/App Product Canary.app/Contents/MacOS/App Product Canary'),
mock.call(
'/$W/App Product Canary.app/Contents/Resources/test.signing.bundle_id.manifest/Contents/Resources/test.signing.bundle_id.manifest',
'/$W/App Product Canary.app/Contents/Resources/test.signing.bundle_id.manifest/Contents/Resources/test.signing.bundle_id.canary.manifest'
),
mock.call(
'/$W/App Product Canary.app/Contents/Resources/test.signing.bundle_id.manifest',
'/$W/App Product Canary.app/Contents/Resources/test.signing.bundle_id.canary.manifest'
),
])
self.assertEqual(6, kwargs['copy_files'].call_count)
kwargs['copy_files'].assert_has_calls([
mock.call('/$I/Product Packaging/app-entitlements.plist',
'/$W/app-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-gpu-entitlements.plist',
'/$W/helper-gpu-entitlements.plist'),
mock.call('/$I/Product Packaging/helper-plugin-entitlements.plist',
'/$W/helper-plugin-entitlements.plist'),
mock.call(
'/$I/Product Packaging/helper-renderer-entitlements.plist',
'/$W/helper-renderer-entitlements.plist'),
mock.call('/$I/Product Packaging/app_canary.icns',
'/$W/App Product Canary.app/Contents/Resources/app.icns'),
mock.call(
'/$I/Product Packaging/document_canary.icns',
'/$W/App Product Canary.app/Contents/Resources/document.icns')
])
kwargs['write_file'].assert_called_once_with(
'/$W/App Product Canary.app/Contents/PkgInfo', 'APPLMooo')
self.assertEqual(7, plistlib.writePlist.call_count)
plistlib.writePlist.assert_has_calls([
mock.call(
{
'CFBundleIdentifier':
'test.signing.bundle_id.canary.AlertNotificationService.xpc'
},
'/$W/App Product Canary.app/Contents/Frameworks/Product Framework.framework/XPCServices/AlertNotificationService.xpc/Contents/Info.plist'
),
mock.call(
{
'CFBundleIdentifier': config.base_bundle_id,
'CFBundleExecutable': config.app_product,
'CFBundleName': 'Product Canary',
'KSProductID': 'test.ksproduct.canary',
'KSChannelID': 'canary',
'KSChannelID-full': 'canary-full',
'CrProductDirName': 'Acme/Product Canary',
'CFBundleSignature': 'Mooo'
}, '/$W/App Product Canary.app/Contents/Info.plist'),
mock.call(
{
'com.apple.application-identifier':
'test.signing.bundle_id.canary'
}, '/$W/app-entitlements.plist'),
mock.call({}, '/$W/helper-gpu-entitlements.plist'),
mock.call({}, '/$W/helper-plugin-entitlements.plist'),
mock.call({}, '/$W/helper-renderer-entitlements.plist'),
mock.call({
'pfm_domain': 'test.signing.bundle_id.canary'
}, '/$W/App Product Canary.app/Contents/Resources/test.signing.bundle_id.canary.manifest/Contents/Resources/test.signing.bundle_id.canary.manifest'
)
])
self.assertFalse(self._is_framework_unchanged(plistlib, kwargs))
| 44.854447
| 159
| 0.591251
| 1,686
| 16,641
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| 0.693491
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| 16,641
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| 160
| 44.975676
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| 0
| 0
|
0
| 4
|
eca6ad67adc9c69f5030d7d5fdc67889ae0c2414
| 102
|
py
|
Python
|
python/tests/test_common.py
|
personalrobotics/r3
|
1303e3f3ef99a0c2249abc7415d19113f0026565
|
[
"BSD-3-Clause"
] | 181
|
2016-04-22T15:11:23.000Z
|
2022-03-26T12:51:08.000Z
|
python/tests/test_common.py
|
personalrobotics/r3
|
1303e3f3ef99a0c2249abc7415d19113f0026565
|
[
"BSD-3-Clause"
] | 514
|
2016-04-20T04:29:51.000Z
|
2022-02-10T19:46:21.000Z
|
python/tests/test_common.py
|
personalrobotics/r3
|
1303e3f3ef99a0c2249abc7415d19113f0026565
|
[
"BSD-3-Clause"
] | 31
|
2017-03-17T09:53:02.000Z
|
2022-03-23T10:35:05.000Z
|
import aikidopy as aikido
def test_empty():
pass
if __name__ == "__main__":
pytest.main()
| 10.2
| 26
| 0.656863
| 13
| 102
| 4.461538
| 0.923077
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| 0.235294
| 102
| 9
| 27
| 11.333333
| 0.74359
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| 0
| 0.078431
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0.2
| 0.2
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| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
ecb21f0038c814cfdeac0311b545f4e087dd6226
| 78
|
py
|
Python
|
blaze/environment/__init__.py
|
henry1jin/alohamora
|
e51e2488ecdf3e9692d5bb6b25ebc88622087c20
|
[
"MIT"
] | 5
|
2020-12-16T03:13:59.000Z
|
2022-03-06T07:16:39.000Z
|
blaze/environment/__init__.py
|
henry1jin/alohamora
|
e51e2488ecdf3e9692d5bb6b25ebc88622087c20
|
[
"MIT"
] | 9
|
2020-09-25T23:25:59.000Z
|
2022-03-11T23:45:14.000Z
|
blaze/environment/__init__.py
|
henry1jin/alohamora
|
e51e2488ecdf3e9692d5bb6b25ebc88622087c20
|
[
"MIT"
] | 3
|
2019-10-16T21:22:07.000Z
|
2020-07-21T13:38:22.000Z
|
""" Defines the training environment """
from .environment import Environment
| 26
| 40
| 0.782051
| 8
| 78
| 7.625
| 0.75
| 0
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| 0
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| 0.128205
| 78
| 2
| 41
| 39
| 0.897059
| 0.410256
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| true
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| 1
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| 0
| 0
|
0
| 4
|
ecbac8b1106263c83bc7ca62f53f4247618c1afa
| 331
|
py
|
Python
|
junopy/utils/constants.py
|
robertons/junopy
|
1acc64ab99d8ea49bb0dac979cd34da43541f243
|
[
"MIT"
] | 3
|
2021-07-12T15:05:13.000Z
|
2022-01-31T03:35:43.000Z
|
junopy/utils/constants.py
|
robertons/junopy
|
1acc64ab99d8ea49bb0dac979cd34da43541f243
|
[
"MIT"
] | 2
|
2022-01-29T20:14:51.000Z
|
2022-02-07T16:16:24.000Z
|
junopy/utils/constants.py
|
robertons/junopy
|
1acc64ab99d8ea49bb0dac979cd34da43541f243
|
[
"MIT"
] | 1
|
2022-02-01T18:36:10.000Z
|
2022-02-01T18:36:10.000Z
|
# DEFAULT ROUTE
ROUTE_SANDBOX = 'https://sandbox.boletobancario.com/api-integration'
ROUTE_SANDBOX_AUTORIZATION_SERVER = "https://sandbox.boletobancario.com/authorization-server/oauth/token"
ROUTE_PRODUCAO = 'https://api.juno.com.br'
ROUTE_PRODUCAO_AUTORIZATION_SERVER = "https://api.juno.com.br/authorization-server/oauth/token"
| 47.285714
| 105
| 0.81571
| 42
| 331
| 6.238095
| 0.380952
| 0.091603
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| 0.221374
| 0.129771
| 0
| 0
| 0
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| 0
| 0
| 0.048338
| 331
| 6
| 106
| 55.166667
| 0.831746
| 0.039275
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| 0
| 0
|
0
| 4
|
ecc28740b10e3a52b81a5f86bb89c525974e1040
| 117
|
py
|
Python
|
plugin_resources/__init__.py
|
ElectricImp-CSE/ElectricImp-Sublime
|
921f9b275348df9859e328c7987c715206c17ddd
|
[
"MIT"
] | 4
|
2016-12-20T21:53:08.000Z
|
2019-02-02T23:40:11.000Z
|
plugin_resources/__init__.py
|
ElectricImp-CSE/ElectricImp-Sublime
|
921f9b275348df9859e328c7987c715206c17ddd
|
[
"MIT"
] | 13
|
2016-11-18T13:24:05.000Z
|
2019-03-06T16:25:14.000Z
|
plugin_resources/__init__.py
|
ElectricImp-CSE/ElectricImp-Sublime
|
921f9b275348df9859e328c7987c715206c17ddd
|
[
"MIT"
] | 2
|
2017-04-29T16:20:02.000Z
|
2017-04-29T16:34:23.000Z
|
# Copyright (c) 2016 Electric Imp
# This file is licensed under the MIT License
# http://opensource.org/licenses/MIT
| 29.25
| 45
| 0.760684
| 18
| 117
| 4.944444
| 0.944444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.04
| 0.145299
| 117
| 3
| 46
| 39
| 0.85
| 0.940171
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ecce363ab37be7cff0399d1966a3906470069673
| 4,645
|
py
|
Python
|
tests/test_counters.py
|
facebook/sparts
|
c03df928677444ad638d10fa96f4144ca4d644e1
|
[
"BSD-3-Clause"
] | 220
|
2015-01-04T07:17:31.000Z
|
2018-10-10T09:06:45.000Z
|
tests/test_counters.py
|
martina6hall/sparts
|
c03df928677444ad638d10fa96f4144ca4d644e1
|
[
"BSD-3-Clause"
] | 49
|
2015-02-02T22:25:08.000Z
|
2017-07-26T05:46:10.000Z
|
tests/test_counters.py
|
martina6hall/sparts
|
c03df928677444ad638d10fa96f4144ca4d644e1
|
[
"BSD-3-Clause"
] | 39
|
2015-03-11T03:12:41.000Z
|
2018-10-10T09:07:11.000Z
|
# Copyright (c) 2014, 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.
#
from sparts.tests.base import BaseSpartsTestCase
from sparts import counters
import time
class CounterTests(BaseSpartsTestCase):
def testSum(self):
"""Test `counters.Sum()"""
c = counters.Sum()
self.assertEqual(c(), 0.0)
c.increment()
self.assertEqual(c(), 1.0)
c.incrementBy(10)
self.assertEqual(c(), 11.0)
c.add(10)
self.assertEqual(c(), 21.0)
# Test some other types
self.assertEqual(int(c), 21)
self.assertEqual(float(c), 21.0)
self.assertEqual(str(c), '21.0')
# Test reset API
c.reset(0.5)
self.assertEqual(float(c), 0.5)
def testCount(self):
"""Test `counters.Count()"""
c = counters.Count()
self.assertEqual(c(), 0)
c.add(100)
self.assertEqual(c(), 1)
def testMax(self):
"""Test `counters.Max()"""
c = counters.Max()
self.assertIs(c(), None)
c.add(-10)
self.assertEqual(c(), -10)
c.add(-20)
self.assertEqual(c(), -10)
c.add(20)
self.assertEqual(c(), 20)
def testMin(self):
"""Test `counters.Min()"""
c = counters.Min()
self.assertIs(c(), None)
c.add(-10)
self.assertEqual(c(), -10)
c.add(20)
self.assertEqual(c(), -10)
c.add(-20)
self.assertEqual(c(), -20)
def testAverage(self):
"""Test `counters.Average()"""
c = counters.Average()
self.assertEqual(c(), None)
c.add(10)
c.add(20)
self.assertEqual(c(), 15.0)
def testCallbackCounter(self):
"""Test `counters.CallbackCounter()`"""
l = [0.0]
c = counters.CallbackCounter(lambda: l[0])
self.assertEqual(c(), 0.0)
l[0] = 10.0
self.assertEqual(c(), 10.0)
def testSampleNames(self):
"""Test `counters.Samples() getCounters API, etc"""
c = counters.samples(name='foo',
types=[counters.SampleType.COUNT], windows=[100])
c.add(1)
self.assertEqual(c.getCounter('foo.count.100'), 1)
c = counters.samples(
types=[counters.SampleType.COUNT], windows=[100])
c.add(1)
self.assertEqual(c.getCounter('count.100'), 1)
def testSamples(self):
c = counters.samples(
types=[counters.SampleType.COUNT, counters.SampleType.SUM],
windows=[100, 1000])
now = time.time()
c._now = self.mock.Mock()
# At t=0, add two values of 10.0
c._now.return_value = now
c.add(10.0)
c.add(10.0)
self.assertEqual(c.getCounter('count.100'), 2)
self.assertEqual(c.getCounter('count.1000'), 2)
self.assertEqual(c.getCounter('sum.100'), 20.0)
self.assertEqual(c.getCounter('sum.1000'), 20.0)
# Make sure there are only four counters
self.assertEqual(len(c.getCounters()), 4)
# At t=10, add one values of 10.0
c._now.return_value = now + 10
c.add(10.0)
self.assertEqual(c.getCounter('count.100'), 3)
self.assertEqual(c.getCounter('count.1000'), 3)
self.assertEqual(c.getCounter('sum.100'), 30.0)
self.assertEqual(c.getCounter('sum.1000'), 30.0)
# At t=101, 2 values should have fallen out of the 100 window
c._now.return_value = now + 101
self.assertEqual(c.getCounter('count.100'), 1)
self.assertEqual(c.getCounter('count.1000'), 3)
self.assertEqual(c.getCounter('sum.100'), 10.0)
self.assertEqual(c.getCounter('sum.1000'), 30.0)
# At t=1001, all values should be gone from the 100 window,
# but one value should remain in the 1000 window
c._now.return_value = now + 1001
self.assertEqual(c.getCounter('count.100'), 0)
self.assertEqual(c.getCounter('count.1000'), 1)
self.assertEqual(c.getCounter('sum.100'), 0.0)
self.assertEqual(c.getCounter('sum.1000'), 10.0)
# At t=1011, all values should be gone from all windows.
c._now.return_value = now + 1011
self.assertEqual(c.getCounter('count.100'), 0)
self.assertEqual(c.getCounter('count.1000'), 0, str((now, c.samples)))
self.assertEqual(c.getCounter('sum.100'), 0.0)
self.assertEqual(c.getCounter('sum.1000'), 0.0)
| 32.256944
| 78
| 0.58084
| 620
| 4,645
| 4.333871
| 0.201613
| 0.240045
| 0.226275
| 0.212877
| 0.516933
| 0.484927
| 0.414589
| 0.354298
| 0.354298
| 0.332713
| 0
| 0.076923
| 0.266738
| 4,645
| 143
| 79
| 32.482517
| 0.711979
| 0.177826
| 0
| 0.371134
| 0
| 0
| 0.052799
| 0
| 0
| 0
| 0
| 0
| 0.463918
| 1
| 0.082474
| false
| 0
| 0.030928
| 0
| 0.123711
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ecdf7f0ecc6d3a0be6acd0cebd5377d26845611e
| 25
|
py
|
Python
|
lib/python3.4/abc.py
|
caiocsalvador/whats_the_craic
|
c49ef62f1acd7379f6fd90c2b93aa1fa00c8661d
|
[
"MIT"
] | 7
|
2017-04-26T12:28:22.000Z
|
2021-02-09T18:59:50.000Z
|
django-ng/lib/python3.4/abc.py
|
Arsalen/BusinessStrategies
|
209e57340359af3ea063c064982198848dc36c5f
|
[
"MIT"
] | 13
|
2015-12-04T03:38:37.000Z
|
2015-12-12T00:15:46.000Z
|
django-ng/lib/python3.4/abc.py
|
Arsalen/BusinessStrategies
|
209e57340359af3ea063c064982198848dc36c5f
|
[
"MIT"
] | 8
|
2017-06-01T08:42:16.000Z
|
2020-07-23T12:30:19.000Z
|
/usr/lib/python3.4/abc.py
| 25
| 25
| 0.76
| 6
| 25
| 3.166667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.08
| 0
| 25
| 1
| 25
| 25
| 0.68
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
ecf199fa752679c48ab890956828f4b6315c382f
| 120
|
py
|
Python
|
examples/python/cpu/tensors/ocean_astensor_07.py
|
kant/ocean-tensor-package
|
fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d
|
[
"Apache-2.0"
] | 27
|
2018-08-16T21:32:49.000Z
|
2021-11-30T10:31:08.000Z
|
examples/python/cpu/tensors/ocean_astensor_07.py
|
kant/ocean-tensor-package
|
fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d
|
[
"Apache-2.0"
] | null | null | null |
examples/python/cpu/tensors/ocean_astensor_07.py
|
kant/ocean-tensor-package
|
fb3fcff8bba7f4ef6cd8b8d02f0e1be1258da02d
|
[
"Apache-2.0"
] | 13
|
2018-08-17T17:33:16.000Z
|
2021-11-30T10:31:09.000Z
|
import pyOcean_cpu as ocean
a = ocean.asTensor([1,2,3])
b = ocean.asTensor([0,3,6],'r')
print(a)
print(b)
print(a+b)
| 12
| 31
| 0.65
| 25
| 120
| 3.08
| 0.6
| 0.337662
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.057692
| 0.133333
| 120
| 9
| 32
| 13.333333
| 0.682692
| 0
| 0
| 0
| 0
| 0
| 0.008403
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 0.5
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
01add464a5627ee53a881b778275e50edf5cea52
| 255
|
py
|
Python
|
Caesar/Caesar.py
|
AVM-Martin/CTF-EncryptionAlgorithm
|
1226f3db8d3358e1f50ae2f2722f66dee281507a
|
[
"WTFPL"
] | null | null | null |
Caesar/Caesar.py
|
AVM-Martin/CTF-EncryptionAlgorithm
|
1226f3db8d3358e1f50ae2f2722f66dee281507a
|
[
"WTFPL"
] | null | null | null |
Caesar/Caesar.py
|
AVM-Martin/CTF-EncryptionAlgorithm
|
1226f3db8d3358e1f50ae2f2722f66dee281507a
|
[
"WTFPL"
] | null | null | null |
from helper import Cryptography
from Caesar.helper import *
class Caesar(Cryptography):
def encrypt(self, text):
return "".join(transform(c, self.key) for c in text)
def decrypt(self, text):
return "".join(transform(c, -self.key) for c in text)
| 21.25
| 55
| 0.717647
| 39
| 255
| 4.692308
| 0.461538
| 0.131148
| 0.153005
| 0.196721
| 0.491803
| 0.491803
| 0.491803
| 0.491803
| 0.491803
| 0.491803
| 0
| 0
| 0.156863
| 255
| 11
| 56
| 23.181818
| 0.851163
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.285714
| 0.285714
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 4
|
01b8eb63a1d18ac387016f175edae92910d68a4c
| 227
|
py
|
Python
|
core/cooggerapp/middleware/settings.py
|
maksatweb/coogger
|
480d4cccb2c6876fba116511b72775e2e434245b
|
[
"MIT"
] | null | null | null |
core/cooggerapp/middleware/settings.py
|
maksatweb/coogger
|
480d4cccb2c6876fba116511b72775e2e434245b
|
[
"MIT"
] | null | null | null |
core/cooggerapp/middleware/settings.py
|
maksatweb/coogger
|
480d4cccb2c6876fba116511b72775e2e434245b
|
[
"MIT"
] | 1
|
2019-07-01T10:08:33.000Z
|
2019-07-01T10:08:33.000Z
|
# django
from django.utils.deprecation import MiddlewareMixin
from django.conf import settings
class SettingsMiddleware(MiddlewareMixin):
def process_request(self, request):
request.page_size = settings.PAGE_SIZE
| 25.222222
| 52
| 0.797357
| 26
| 227
| 6.846154
| 0.615385
| 0.11236
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.140969
| 227
| 9
| 53
| 25.222222
| 0.912821
| 0.026432
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
01d43a1367d62f711952b5fd1f2dc638532f5aab
| 131
|
py
|
Python
|
gammapy/image/models/__init__.py
|
mealworm/gammapy
|
a838b2ca347dd6321f8da4e4097a33150d7b9be6
|
[
"BSD-3-Clause"
] | null | null | null |
gammapy/image/models/__init__.py
|
mealworm/gammapy
|
a838b2ca347dd6321f8da4e4097a33150d7b9be6
|
[
"BSD-3-Clause"
] | null | null | null |
gammapy/image/models/__init__.py
|
mealworm/gammapy
|
a838b2ca347dd6321f8da4e4097a33150d7b9be6
|
[
"BSD-3-Clause"
] | null | null | null |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Morphology models.
"""
from .gauss import *
from .new import *
| 18.714286
| 63
| 0.709924
| 19
| 131
| 4.894737
| 0.842105
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009259
| 0.175573
| 131
| 6
| 64
| 21.833333
| 0.851852
| 0.618321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
01e058ef540580c3ae24f4d5447db77ed32b9b3b
| 705
|
py
|
Python
|
djangoautoconf/auto_conf_admin_tools/model_with_full_permission_feature.py
|
weijia/djangoautoconf
|
590acfdcc6a3e051a2048ba1dbf980f908a7af91
|
[
"BSD-3-Clause"
] | null | null | null |
djangoautoconf/auto_conf_admin_tools/model_with_full_permission_feature.py
|
weijia/djangoautoconf
|
590acfdcc6a3e051a2048ba1dbf980f908a7af91
|
[
"BSD-3-Clause"
] | null | null | null |
djangoautoconf/auto_conf_admin_tools/model_with_full_permission_feature.py
|
weijia/djangoautoconf
|
590acfdcc6a3e051a2048ba1dbf980f908a7af91
|
[
"BSD-3-Clause"
] | null | null | null |
from djangoautoconf.auto_conf_admin_tools.admin_feature_base import AdminFeatureBase
__author__ = 'weijia'
def get_model_perms(self, request):
return {'add': True, 'change': True, 'delete': False}
def has_change_permission(self, request, obj=None):
return True
class ModelWithFullPermissionFeature(AdminFeatureBase):
def process_parent_class_list(self, parent_list, class_inst):
pass
# noinspection PyMethodMayBeStatic
def process_admin_class_attr(self, admin_attr, class_inst):
admin_attr["get_model_perms"] = get_model_perms
admin_attr["has_change_permission"] = has_change_permission
admin_attr["has_add_permission"] = has_change_permission
| 29.375
| 84
| 0.767376
| 86
| 705
| 5.848837
| 0.44186
| 0.071571
| 0.151093
| 0.115308
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.151773
| 705
| 23
| 85
| 30.652174
| 0.841137
| 0.04539
| 0
| 0
| 0
| 0
| 0.11194
| 0.031343
| 0
| 0
| 0
| 0
| 0
| 1
| 0.307692
| false
| 0.076923
| 0.076923
| 0.153846
| 0.615385
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 4
|
01fcab3c9c364808a9e04cbf76d85f98ff669a7c
| 25,505
|
py
|
Python
|
ckanext-infographic/ckanext/infographic/tests/action/test_get.py
|
smallmedia/iod-ckan
|
dfd85b41286fe86924ec16b0a88efc7292848ceb
|
[
"Apache-2.0"
] | 4
|
2017-06-12T15:18:30.000Z
|
2019-10-11T15:12:43.000Z
|
ckanext-infographic/ckanext/infographic/tests/action/test_get.py
|
smallmedia/iod-ckan
|
dfd85b41286fe86924ec16b0a88efc7292848ceb
|
[
"Apache-2.0"
] | 64
|
2017-05-14T22:15:53.000Z
|
2020-03-08T15:26:49.000Z
|
ckanext-infographic/ckanext/infographic/tests/action/test_get.py
|
smallmedia/iod-ckan
|
dfd85b41286fe86924ec16b0a88efc7292848ceb
|
[
"Apache-2.0"
] | 2
|
2018-09-08T08:02:25.000Z
|
2020-04-24T13:02:06.000Z
|
from nose import tools as nosetools
from nose import SkipTest
import ckan.plugins.toolkit as toolkit
try:
import ckan.tests.factories as factories
except ImportError: # for ckan <= 2.3
import ckan.new_tests.factories as factories
try:
import ckan.tests.helpers as helpers
except ImportError: # for ckan <= 2.3
import ckan.new_tests.helpers as helpers
from ckanext.infographic.tests import InfographicFunctionalTestBase
class TestInfographicShow(InfographicFunctionalTestBase):
def test_infographic_show_no_args(self):
'''
Calling infographic show with no args raises a ValidationError.
'''
nosetools.assert_raises(toolkit.ValidationError, helpers.call_action,
'ckanext_infographic_show')
def test_infographic_show_with_id(self):
'''
Calling infographic show with id arg returns infographic dict.
'''
my_infographic = factories.Dataset(type='infographic', name='my-infographic')
infographic_shown = helpers.call_action('ckanext_infographic_show', id=my_infographic['id'])
nosetools.assert_equal(my_infographic['name'], infographic_shown['name'])
def test_infographic_show_with_name(self):
'''
Calling infographic show with name arg returns infographic dict.
'''
my_infographic = factories.Dataset(type='infographic', name='my-infographic')
infographic_shown = helpers.call_action('ckanext_infographic_show', id=my_infographic['name'])
nosetools.assert_equal(my_infographic['id'], infographic_shown['id'])
def test_infographic_show_with_nonexisting_name(self):
'''
Calling infographic show with bad name arg returns ObjectNotFound.
'''
factories.Dataset(type='infographic', name='my-infographic')
nosetools.assert_raises(toolkit.ObjectNotFound, helpers.call_action,
'ckanext_infographic_show', id='my-bad-name')
def test_infographic_show_num_datasets_added(self):
'''
num_datasets property returned with infographic dict.
'''
my_infographic = factories.Dataset(type='infographic', name='my-infographic')
infographic_shown = helpers.call_action('ckanext_infographic_show', id=my_infographic['name'])
nosetools.assert_true('num_datasets' in infographic_shown)
nosetools.assert_equal(infographic_shown['num_datasets'], 0)
def test_infographic_show_num_datasets_correct_value(self):
'''
num_datasets property has correct value.
'''
sysadmin = factories.User(sysadmin=True)
my_infographic = factories.Dataset(type='infographic', name='my-infographic')
package_one = factories.Dataset()
package_two = factories.Dataset()
context = {'user': sysadmin['name']}
# create an association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_one['id'],
infographic_id=my_infographic['id'])
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_two['id'],
infographic_id=my_infographic['id'])
infographic_shown = helpers.call_action('ckanext_infographic_show', id=my_infographic['name'])
nosetools.assert_equal(infographic_shown['num_datasets'], 2)
def test_infographic_show_num_datasets_correct_only_count_active_datasets(self):
'''
num_datasets property has correct value when some previously
associated datasets have been datasets.
'''
sysadmin = factories.User(sysadmin=True)
my_infographic = factories.Dataset(type='infographic', name='my-infographic')
package_one = factories.Dataset()
package_two = factories.Dataset()
package_three = factories.Dataset()
context = {'user': sysadmin['name']}
# create the associations
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_one['id'],
infographic_id=my_infographic['id'])
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_two['id'],
infographic_id=my_infographic['id'])
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_three['id'],
infographic_id=my_infographic['id'])
# delete the first package
helpers.call_action('package_delete', context=context, id=package_one['id'])
infographic_shown = helpers.call_action('ckanext_infographic_show', id=my_infographic['name'])
# the num_datasets should only include active datasets
nosetools.assert_equal(infographic_shown['num_datasets'], 2)
def test_infographic_anon_user_can_see_package_list_when_infographic_association_was_deleted(self):
'''
When a infographic is deleted, the remaining associations with formerly associated
packages or infographics can still be displayed.
'''
app = self._get_test_app()
sysadmin = factories.User(sysadmin=True)
infographic_one = factories.Dataset(type='infographic', name='infographic-one')
infographic_two = factories.Dataset(type='infographic', name='infographic-two')
package_one = factories.Dataset()
package_two = factories.Dataset()
admin_context = {'user': sysadmin['name']}
# create the associations
helpers.call_action('ckanext_infographic_package_association_create',
context=admin_context, package_id=package_one['id'],
infographic_id=infographic_one['id'])
helpers.call_action('ckanext_infographic_package_association_create',
context=admin_context, package_id=package_one['id'],
infographic_id=infographic_two['id'])
helpers.call_action('ckanext_infographic_package_association_create',
context=admin_context, package_id=package_two['id'],
infographic_id=infographic_one['id'])
helpers.call_action('ckanext_infographic_package_association_create',
context=admin_context, package_id=package_two['id'],
infographic_id=infographic_two['id'])
# delete one of the associated infographics
helpers.call_action('package_delete', context=admin_context,
id=infographic_two['id'])
# the anon user can still see the associated packages of remaining infographic
associated_packages = helpers.call_action(
'ckanext_infographic_package_list',
infographic_id=infographic_one['id'])
nosetools.assert_equal(len(associated_packages), 2)
# overview of packages can still be seen
app.get("/dataset", status=200)
class TestInfographicList(InfographicFunctionalTestBase):
def test_infographic_list(self):
'''Infographic list action returns names of infographics in site.'''
infographic_one = factories.Dataset(type='infographic')
infographic_two = factories.Dataset(type='infographic')
infographic_three = factories.Dataset(type='infographic')
infographic_list = helpers.call_action('ckanext_infographic_list')
infographic_list_name_id = [(sc['name'], sc['id']) for sc in infographic_list]
nosetools.assert_equal(len(infographic_list), 3)
nosetools.assert_true(sorted(infographic_list_name_id) ==
sorted([(infographic['name'], infographic['id'])
for infographic in [infographic_one,
infographic_two,
infographic_three]]))
def test_infographic_list_no_datasets(self):
'''
Infographic list action doesn't return normal datasets (of type
'dataset').
'''
infographic_one = factories.Dataset(type='infographic')
dataset_one = factories.Dataset()
dataset_two = factories.Dataset()
infographic_list = helpers.call_action('ckanext_infographic_list')
infographic_list_name_id = [(sc['name'], sc['id']) for sc in infographic_list]
nosetools.assert_equal(len(infographic_list), 1)
nosetools.assert_true((infographic_one['name'], infographic_one['id']) in infographic_list_name_id)
nosetools.assert_true((dataset_one['name'], dataset_one['id']) not in infographic_list_name_id)
nosetools.assert_true((dataset_two['name'], dataset_two['id']) not in infographic_list_name_id)
class TestInfographicPackageList(InfographicFunctionalTestBase):
'''Tests for ckanext_infographic_package_list'''
def test_infographic_package_list_no_packages(self):
'''
Calling ckanext_infographic_package_list with a infographic that has no
packages returns an empty list.
'''
infographic_id = factories.Dataset(type='infographic')['id']
pkg_list = helpers.call_action('ckanext_infographic_package_list',
infographic_id=infographic_id)
nosetools.assert_equal(pkg_list, [])
def test_infographic_package_list_works_with_name(self):
'''
Calling ckanext_infographic_package_list with a infographic name doesn't
raise a ValidationError.
'''
infographic_name = factories.Dataset(type='infographic')['name']
pkg_list = helpers.call_action('ckanext_infographic_package_list',
infographic_id=infographic_name)
nosetools.assert_equal(pkg_list, [])
def test_infographic_package_list_wrong_infographic_id(self):
'''
Calling ckanext_infographic_package_list with a bad infographic id raises a
ValidationError.
'''
factories.Dataset(type='infographic')['id']
nosetools.assert_raises(toolkit.ValidationError, helpers.call_action,
'ckanext_infographic_package_list',
infographic_id='a-bad-id')
def test_infographic_package_list_infographic_has_package(self):
'''
Calling ckanext_infographic_package_list with a infographic that has a
package should return that package.
'''
sysadmin = factories.User(sysadmin=True)
package = factories.Dataset()
infographic_id = factories.Dataset(type='infographic')['id']
context = {'user': sysadmin['name']}
# create an association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package['id'],
infographic_id=infographic_id)
pkg_list = helpers.call_action('ckanext_infographic_package_list',
infographic_id=infographic_id)
# We've got an item in the pkg_list
nosetools.assert_equal(len(pkg_list), 1)
# The list item should have the correct name property
nosetools.assert_equal(pkg_list[0]['name'], package['name'])
def test_infographic_package_list_infographic_has_two_packages(self):
'''
Calling ckanext_infographic_package_list with a infographic that has two
packages should return the packages.
'''
sysadmin = factories.User(sysadmin=True)
package_one = factories.Dataset()
package_two = factories.Dataset()
infographic_id = factories.Dataset(type='infographic')['id']
context = {'user': sysadmin['name']}
# create first association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_one['id'],
infographic_id=infographic_id)
# create second association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_two['id'],
infographic_id=infographic_id)
pkg_list = helpers.call_action('ckanext_infographic_package_list',
infographic_id=infographic_id)
# We've got two items in the pkg_list
nosetools.assert_equal(len(pkg_list), 2)
def test_infographic_package_list_infographic_only_contains_active_datasets(self):
'''
Calling ckanext_infographic_package_list will only return active datasets
(not deleted ones).
'''
sysadmin = factories.User(sysadmin=True)
package_one = factories.Dataset()
package_two = factories.Dataset()
package_three = factories.Dataset()
infographic_id = factories.Dataset(type='infographic')['id']
context = {'user': sysadmin['name']}
# create first association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_one['id'],
infographic_id=infographic_id)
# create second association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_two['id'],
infographic_id=infographic_id)
# create third association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package_three['id'],
infographic_id=infographic_id)
# delete the first package
helpers.call_action('package_delete', context=context, id=package_one['id'])
pkg_list = helpers.call_action('ckanext_infographic_package_list',
infographic_id=infographic_id)
# We've got two items in the pkg_list
nosetools.assert_equal(len(pkg_list), 2)
pkg_list_ids = [pkg['id'] for pkg in pkg_list]
nosetools.assert_true(package_two['id'] in pkg_list_ids)
nosetools.assert_true(package_three['id'] in pkg_list_ids)
nosetools.assert_false(package_one['id'] in pkg_list_ids)
def test_infographic_package_list_package_isnot_a_infographic(self):
'''
Calling ckanext_infographic_package_list with a package id should raise a
ValidationError.
Since Infographics are Packages under the hood, make sure we treat them
differently.
'''
sysadmin = factories.User(sysadmin=True)
package = factories.Dataset()
infographic_id = factories.Dataset(type='infographic')['id']
context = {'user': sysadmin['name']}
# create an association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package['id'],
infographic_id=infographic_id)
nosetools.assert_raises(toolkit.ValidationError, helpers.call_action,
'ckanext_infographic_package_list',
infographic_id=package['id'])
class TestPackageInfographicList(InfographicFunctionalTestBase):
'''Tests for ckanext_package_infographic_list'''
def test_package_infographic_list_no_infographics(self):
'''
Calling ckanext_package_infographic_list with a package that has no
infographics returns an empty list.
'''
package_id = factories.Dataset()['id']
infographic_list = helpers.call_action('ckanext_package_infographic_list',
package_id=package_id)
nosetools.assert_equal(infographic_list, [])
def test_package_infographic_list_works_with_name(self):
'''
Calling ckanext_package_infographic_list with a package name doesn't
raise a ValidationError.
'''
package_name = factories.Dataset()['name']
infographic_list = helpers.call_action('ckanext_package_infographic_list',
package_id=package_name)
nosetools.assert_equal(infographic_list, [])
def test_package_infographic_list_wrong_infographic_id(self):
'''
Calling ckanext_package_infographic_list with a bad package id raises a
ValidationError.
'''
factories.Dataset()['id']
nosetools.assert_raises(toolkit.ValidationError, helpers.call_action,
'ckanext_package_infographic_list',
infographic_id='a-bad-id')
def test_package_infographic_list_infographic_has_package(self):
'''
Calling ckanext_package_infographic_list with a package that has a
infographic should return that infographic.
'''
sysadmin = factories.User(sysadmin=True)
package = factories.Dataset()
infographic = factories.Dataset(type='infographic')
context = {'user': sysadmin['name']}
# create an association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package['id'],
infographic_id=infographic['id'])
infographic_list = helpers.call_action('ckanext_package_infographic_list',
package_id=package['id'])
# We've got an item in the infographic_list
nosetools.assert_equal(len(infographic_list), 1)
# The list item should have the correct name property
nosetools.assert_equal(infographic_list[0]['name'], infographic['name'])
def test_package_infographic_list_infographic_has_two_packages(self):
'''
Calling ckanext_package_infographic_list with a package that has two
infographics should return the infographics.
'''
sysadmin = factories.User(sysadmin=True)
package = factories.Dataset()
infographic_one = factories.Dataset(type='infographic')
infographic_two = factories.Dataset(type='infographic')
context = {'user': sysadmin['name']}
# create first association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package['id'],
infographic_id=infographic_one['id'])
# create second association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package['id'],
infographic_id=infographic_two['id'])
infographic_list = helpers.call_action('ckanext_package_infographic_list',
package_id=package['id'])
# We've got two items in the infographic_list
nosetools.assert_equal(len(infographic_list), 2)
def test_package_infographic_list_package_isnot_a_infographic(self):
'''
Calling ckanext_package_infographic_list with a infographic id should raise a
ValidationError.
Since Infographics are Packages under the hood, make sure we treat them
differently.
'''
sysadmin = factories.User(sysadmin=True)
package = factories.Dataset()
infographic = factories.Dataset(type='infographic')
context = {'user': sysadmin['name']}
# create an association
helpers.call_action('ckanext_infographic_package_association_create',
context=context, package_id=package['id'],
infographic_id=infographic['id'])
nosetools.assert_raises(toolkit.ValidationError, helpers.call_action,
'ckanext_package_infographic_list',
package_id=infographic['id'])
class TestInfographicAdminList(InfographicFunctionalTestBase):
'''Tests for ckanext_infographic_admin_list'''
def test_infographic_admin_list_no_infographic_admins(self):
'''
Calling ckanext_infographic_admin_list on a site that has no infographics
admins returns an empty list.
'''
infographic_admin_list = helpers.call_action('ckanext_infographic_admin_list')
nosetools.assert_equal(infographic_admin_list, [])
def test_infographic_admin_list_users(self):
'''
Calling ckanext_infographic_admin_list will return users who are infographic
admins.
'''
user_one = factories.User()
user_two = factories.User()
user_three = factories.User()
helpers.call_action('ckanext_infographic_admin_add', context={},
username=user_one['name'])
helpers.call_action('ckanext_infographic_admin_add', context={},
username=user_two['name'])
helpers.call_action('ckanext_infographic_admin_add', context={},
username=user_three['name'])
infographic_admin_list = helpers.call_action('ckanext_infographic_admin_list', context={})
nosetools.assert_equal(len(infographic_admin_list), 3)
for user in [user_one, user_two, user_three]:
nosetools.assert_true({'name': user['name'], 'id': user['id']} in infographic_admin_list)
def test_infographic_admin_only_lists_admin_users(self):
'''
Calling ckanext_infographic_admin_list will only return users who are
infographic admins.
'''
user_one = factories.User()
user_two = factories.User()
user_three = factories.User()
helpers.call_action('ckanext_infographic_admin_add', context={},
username=user_one['name'])
helpers.call_action('ckanext_infographic_admin_add', context={},
username=user_two['name'])
infographic_admin_list = helpers.call_action('ckanext_infographic_admin_list', context={})
nosetools.assert_equal(len(infographic_admin_list), 2)
# user three isn't in list
nosetools.assert_true({'name': user_three['name'], 'id': user_three['id']} not in infographic_admin_list)
class TestPackageSearchBeforeSearch(InfographicFunctionalTestBase):
'''
Extension uses the `before_search` method to alter search parameters.
'''
def test_package_search_no_additional_filters(self):
'''
Perform package_search with no additional filters should not include
infographics.
'''
factories.Dataset()
factories.Dataset()
factories.Dataset(type='infographic')
factories.Dataset(type='custom')
search_results = helpers.call_action('package_search', context={})['results']
types = [result['type'] for result in search_results]
nosetools.assert_equal(len(search_results), 3)
nosetools.assert_true('infographic' not in types)
nosetools.assert_true('custom' in types)
def test_package_search_filter_include_infographic(self):
'''
package_search filtered to include datasets of type infographic should
only include infographics.
'''
factories.Dataset()
factories.Dataset()
factories.Dataset(type='infographic')
factories.Dataset(type='custom')
search_results = helpers.call_action('package_search', context={},
fq='dataset_type:infographic')['results']
types = [result['type'] for result in search_results]
nosetools.assert_equal(len(search_results), 1)
nosetools.assert_true('infographic' in types)
nosetools.assert_true('custom' not in types)
nosetools.assert_true('dataset' not in types)
class TestUserShowBeforeSearch(InfographicFunctionalTestBase):
'''
Extension uses the `before_search` method to alter results of user_show
(via package_search).
'''
def test_user_show_no_additional_filters(self):
'''
Perform package_search with no additional filters should not include
infographics.
'''
if not toolkit.check_ckan_version(min_version='2.4'):
raise SkipTest('Filtering out infographics requires CKAN 2.4+ (ckan/ckan/issues/2380)')
user = factories.User()
factories.Dataset(user=user)
factories.Dataset(user=user)
factories.Dataset(user=user, type='infographic')
factories.Dataset(user=user, type='custom')
search_results = helpers.call_action('user_show', context={},
include_datasets=True,
id=user['name'])['datasets']
types = [result['type'] for result in search_results]
nosetools.assert_equal(len(search_results), 3)
nosetools.assert_true('infographic' not in types)
nosetools.assert_true('custom' in types)
| 42.508333
| 113
| 0.651598
| 2,646
| 25,505
| 5.980726
| 0.07294
| 0.054218
| 0.061232
| 0.077346
| 0.811058
| 0.766635
| 0.726319
| 0.679937
| 0.640253
| 0.609415
| 0
| 0.001751
| 0.261164
| 25,505
| 599
| 114
| 42.579299
| 0.838039
| 0.156283
| 0
| 0.636076
| 0
| 0
| 0.141427
| 0.090657
| 0
| 0
| 0
| 0
| 0.151899
| 1
| 0.091772
| false
| 0
| 0.031646
| 0
| 0.14557
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
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| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
bf12c913eea83852cf2551fca54f2a702c84f692
| 423
|
py
|
Python
|
qencode/decoders/base.py
|
ankit27kh/temporaryRepoQhack
|
e7e942a1e4b23bbfeda605c6c4dc0320b08b974e
|
[
"MIT"
] | 1
|
2022-02-25T21:09:14.000Z
|
2022-02-25T21:09:14.000Z
|
qencode/decoders/base.py
|
ankit27kh/temporaryRepoQhack
|
e7e942a1e4b23bbfeda605c6c4dc0320b08b974e
|
[
"MIT"
] | null | null | null |
qencode/decoders/base.py
|
ankit27kh/temporaryRepoQhack
|
e7e942a1e4b23bbfeda605c6c4dc0320b08b974e
|
[
"MIT"
] | 4
|
2022-02-25T20:46:44.000Z
|
2022-03-29T04:31:48.000Z
|
"""
The most basic decoder possible is
the inverse of the encoder.
"""
import pennylane as qml
def decoder_adjoint(encoder_circuit, params, wires):
"""
:encoder_circuit: the circuit used to encode the data
:params: the encoder parameters
:wires: list of qubits on which decoder is applied
This decoder is basically the adjoint of the encoder.
"""
qml.adjoint(encoder_circuit)(params, wires)
| 23.5
| 57
| 0.72104
| 59
| 423
| 5.101695
| 0.508475
| 0.099668
| 0.079734
| 0.179402
| 0.212625
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| 0
| 0
| 0.205674
| 423
| 17
| 58
| 24.882353
| 0.895833
| 0.600473
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| 0
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| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 0.666667
| 0
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| 0
| 0
| null | 0
| 0
| 1
| 0
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| 0
| 0
| 0
| 0
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
bf23ab58300d07b9b02f2c903b4226021ed01b42
| 6,681
|
py
|
Python
|
test/test_git.py
|
Flowdalic/nattka
|
0f85e8f9a7b3cd1481f14d8257a07dc5ee9e4f8a
|
[
"BSD-2-Clause"
] | 7
|
2020-03-31T02:55:05.000Z
|
2022-03-25T21:51:05.000Z
|
test/test_git.py
|
Flowdalic/nattka
|
0f85e8f9a7b3cd1481f14d8257a07dc5ee9e4f8a
|
[
"BSD-2-Clause"
] | 65
|
2020-03-30T19:40:43.000Z
|
2022-03-18T20:21:38.000Z
|
test/test_git.py
|
Flowdalic/nattka
|
0f85e8f9a7b3cd1481f14d8257a07dc5ee9e4f8a
|
[
"BSD-2-Clause"
] | 4
|
2020-04-25T03:19:24.000Z
|
2022-02-28T18:10:41.000Z
|
# (c) 2020 Michał Górny
# 2-clause BSD license
""" Tests for git support. """
import os
import subprocess
import tempfile
import unittest
from pathlib import Path
from nattka.git import (git_get_toplevel, git_is_dirty, git_commit,
git_reset_changes, GitDirtyWorkTree,
GitWorkTree, GitCommitNoChanges)
class GitTests(unittest.TestCase):
def setUp(self):
self.tempdir = tempfile.TemporaryDirectory()
def tearDown(self):
self.tempdir.cleanup()
def test_git_get_toplevel(self):
""" Check whether git_get_toplevel() works correctly. """
td = Path(self.tempdir.name)
# should return None or find some containing repository
self.assertNotEqual(git_get_toplevel(Path(self.tempdir.name)),
td)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
self.assertEqual(git_get_toplevel(td), td)
sd = td / 'subdir'
os.mkdir(sd)
self.assertEqual(git_get_toplevel(sd), td)
def test_git_is_dirty(self):
""" Test whether we detect dirty working tree correctly. """
td = Path(self.tempdir.name)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
self.assertFalse(git_is_dirty(td))
with open(td / 'file', 'w') as f:
f.write('test\n')
assert (subprocess.Popen(['git', 'add', '-N', 'file'], cwd=td)
.wait() == 0)
self.assertTrue(git_is_dirty(td))
assert (subprocess.Popen(['git', 'add', 'file'], cwd=td)
.wait() == 0)
self.assertFalse(git_is_dirty(td))
def test_git_commit(self):
"""Test whether we commit correctly"""
td = Path(self.tempdir.name)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
assert subprocess.Popen(
['git', 'config', '--local', 'user.name', 'test'],
cwd=td).wait() == 0
assert subprocess.Popen(
['git', 'config', '--local', 'user.email', 'test@example.com'],
cwd=td).wait() == 0
with open(td / 'file', 'w') as f:
f.write('test\n')
assert (subprocess.Popen(['git', 'add', 'file'], cwd=td)
.wait() == 0)
self.assertNotEqual(git_commit(td, 'test commit', ['file']), '')
with open(td / 'file', 'w') as f:
f.write('other\n')
assert (subprocess.Popen(['git', 'add', 'file'], cwd=td)
.wait() == 0)
self.assertNotEqual(git_commit(td, 'next commit', ['file']), '')
s = subprocess.Popen(['git', 'log', '--format=%an\n%ae\n%s',
'--name-only', '-2'],
cwd=td,
stdout=subprocess.PIPE)
sout, _ = s.communicate()
self.assertEqual(sout.decode(),
'''test
test@example.com
next commit
file
test
test@example.com
test commit
file
''')
def test_git_commit_unstaged(self):
td = Path(self.tempdir.name)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
assert subprocess.Popen(
['git', 'config', '--local', 'user.name', 'test'],
cwd=td).wait() == 0
assert subprocess.Popen(
['git', 'config', '--local', 'user.email', 'test@example.com'],
cwd=td).wait() == 0
with open(td / 'file', 'w') as f:
f.write('test\n')
assert (subprocess.Popen(['git', 'add', '-N', 'file'], cwd=td)
.wait() == 0)
self.assertNotEqual(git_commit(td, 'test commit', ['file']), '')
with open(td / 'file', 'w') as f:
f.write('other\n')
self.assertNotEqual(git_commit(td, 'next commit', ['file']), '')
s = subprocess.Popen(['git', 'log', '--format=%an\n%ae\n%s',
'--name-only', '-2'],
cwd=td,
stdout=subprocess.PIPE)
sout, _ = s.communicate()
self.assertEqual(sout.decode(),
'''test
test@example.com
next commit
file
test
test@example.com
test commit
file
''')
def test_git_commit_no_changes(self):
"""Test whether we fail commit on no changes"""
td = Path(self.tempdir.name)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
assert subprocess.Popen(
['git', 'config', '--local', 'user.name', 'test'],
cwd=td).wait() == 0
assert subprocess.Popen(
['git', 'config', '--local', 'user.email', 'test@example.com'],
cwd=td).wait() == 0
with open(td / 'file', 'w') as f:
f.write('test\n')
f.flush()
assert (subprocess.Popen(['git', 'add', 'file'], cwd=td)
.wait() == 0)
git_commit(td, 'test commit', ['file'])
self.assertRaises(
GitCommitNoChanges,
git_commit, td, 'second attempted commit', ['file'])
def test_git_reset_changes(self):
""" Test whether we reset changes correctly. """
td = Path(self.tempdir.name)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
with open(td / 'file', 'w') as f:
f.write('test\n')
f.flush()
assert (subprocess.Popen(['git', 'add', 'file'], cwd=td)
.wait() == 0)
f.write('second\n')
git_reset_changes(td)
with open(td / 'file', 'r') as f:
self.assertEqual(f.read(), 'test\n')
def test_context_manager(self):
td = Path(self.tempdir.name)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
with open(td / 'file', 'w') as f:
f.write('test\n')
f.flush()
assert (subprocess.Popen(['git', 'add', 'file'], cwd=td)
.wait() == 0)
with GitWorkTree(td):
f.write('second\n')
f.flush()
with open(td / 'file', 'r') as f:
self.assertEqual(f.read(), 'test\n')
def test_context_manager_dirty(self):
td = Path(self.tempdir.name)
assert subprocess.Popen(['git', 'init'], cwd=td).wait() == 0
with open(td / 'file', 'w') as f:
f.write('test\n')
f.flush()
assert (subprocess.Popen(['git', 'add', '-N', 'file'], cwd=td)
.wait() == 0)
with self.assertRaises(GitDirtyWorkTree):
with GitWorkTree(td):
pass
| 33.405
| 75
| 0.505763
| 771
| 6,681
| 4.312581
| 0.14786
| 0.112782
| 0.135338
| 0.166015
| 0.738947
| 0.700451
| 0.681504
| 0.681504
| 0.681504
| 0.681504
| 0
| 0.006658
| 0.32555
| 6,681
| 199
| 76
| 33.572864
| 0.731247
| 0.05134
| 0
| 0.731884
| 0
| 0
| 0.112906
| 0.006853
| 0
| 0
| 0
| 0
| 0.282609
| 1
| 0.072464
| false
| 0.007246
| 0.043478
| 0
| 0.123188
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
171c2575c5b034b8534b33bc61af213d0517e5ec
| 256
|
py
|
Python
|
code/keyence2019_b_02.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | 3
|
2019-08-16T16:55:48.000Z
|
2021-04-11T10:21:40.000Z
|
code/keyence2019_b_02.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
code/keyence2019_b_02.py
|
KoyanagiHitoshi/AtCoder
|
731892543769b5df15254e1f32b756190378d292
|
[
"MIT"
] | null | null | null |
import re
s=input()
if re.match(".*keyence$",s) or re.match("^k.*eyence$",s) or re.match("^ke.*yence$",s) or re.match("^key.*ence$",s) or re.match("^keye.*nce$",s) or re.match("^keyen.*ce$",s)or re.match("^keyenc.*e$",s):
print("YES")
else:print("NO")
| 51.2
| 202
| 0.59375
| 50
| 256
| 3.04
| 0.48
| 0.322368
| 0.197368
| 0.394737
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085938
| 256
| 5
| 203
| 51.2
| 0.649573
| 0
| 0
| 0
| 0
| 0
| 0.315175
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 0
| 0.2
| 0.4
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
17458301c84d738a59fee456dcb8e2142fa8468b
| 641
|
py
|
Python
|
tests/test_codec.py
|
vaporydev/pyrlp
|
8bef01b6c97f90d6f21472a89ca27eddd964d82d
|
[
"MIT"
] | null | null | null |
tests/test_codec.py
|
vaporydev/pyrlp
|
8bef01b6c97f90d6f21472a89ca27eddd964d82d
|
[
"MIT"
] | null | null | null |
tests/test_codec.py
|
vaporydev/pyrlp
|
8bef01b6c97f90d6f21472a89ca27eddd964d82d
|
[
"MIT"
] | null | null | null |
import pytest
import rlp
def test_compare_length():
data = rlp.encode([1,2,3,4,5])
assert rlp.compare_length(data, 100) == -1
assert rlp.compare_length(data, 5) == 0
assert rlp.compare_length(data, 1) == 1
data = rlp.encode([])
assert rlp.compare_length(data, 100) == -1
assert rlp.compare_length(data, 0) == 0
assert rlp.compare_length(data, -1) == 1
def test_favor_short_string_form():
data = rlp.utils.decode_hex('b8056d6f6f7365')
with pytest.raises(rlp.exceptions.DecodingError):
rlp.decode(data)
data = rlp.utils.decode_hex('856d6f6f7365')
assert rlp.decode(data) == b'moose'
| 29.136364
| 53
| 0.675507
| 94
| 641
| 4.457447
| 0.340426
| 0.217184
| 0.28401
| 0.315036
| 0.505967
| 0.405728
| 0.405728
| 0.405728
| 0.267303
| 0.267303
| 0
| 0.076336
| 0.182527
| 641
| 21
| 54
| 30.52381
| 0.723282
| 0
| 0
| 0.117647
| 0
| 0
| 0.048362
| 0
| 0
| 0
| 0
| 0
| 0.411765
| 1
| 0.117647
| false
| 0
| 0.117647
| 0
| 0.235294
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
1766a38e614d7850dfe9e3da5310fc0b3cb1df8c
| 26,084
|
py
|
Python
|
occurrence/tests/test_views.py
|
dbca-wa/tsc
|
d1ea31c0d3ff85020762b6e58884a164516e29b0
|
[
"MIT"
] | 1
|
2022-01-27T09:39:58.000Z
|
2022-01-27T09:39:58.000Z
|
occurrence/tests/test_views.py
|
dbca-wa/tsc
|
d1ea31c0d3ff85020762b6e58884a164516e29b0
|
[
"MIT"
] | 79
|
2020-07-27T06:06:14.000Z
|
2022-03-12T01:44:34.000Z
|
occurrence/tests/test_views.py
|
dbca-wa/tsc
|
d1ea31c0d3ff85020762b6e58884a164516e29b0
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
""".
Occurrence view tests
^^^^^^^^^^^^^^^^^^^^^
"""
from __future__ import unicode_literals
import uuid
from django.utils import timezone
from django.contrib.auth import get_user_model
from django.contrib.gis.geos import GEOSGeometry # Point, Polygon
from django.core.files.uploadedfile import SimpleUploadedFile
from django.test import TestCase
from django.urls import reverse
from model_mommy import mommy
from mommy_spatial_generators import MOMMY_SPATIAL_FIELDS # noqa
from occurrence import models as occ_models
from conservation import models as cons_models
from taxonomy.models import Community, Taxon # noqa
# from django.contrib.contenttypes.models import ContentType
MOMMY_CUSTOM_FIELDS_GEN = MOMMY_SPATIAL_FIELDS
class CommunityAreaEncounterTests(TestCase):
"""CommunityAreaEncounter and related ObservationGroup tests."""
def setUp(self):
"""Shared objects.
Bugs with TestMommy vs django-polymorphic:
https://github.com/django-polymorphic/django-polymorphic/issues/280
https://github.com/django-polymorphic/django-polymorphic/issues/109
polymorphic/models.py", line 112, in get_real_instance_class
and not issubclass(model, self.__class__._meta.proxy_for_model):
TypeError: issubclass() arg 2 must be a class or tuple of classes
"""
self.com0 = mommy.make(
Community,
code="code0",
name="name0",
_fill_optional=['eoo'])
self.com0.save()
self.com1 = mommy.make(
Community,
code="code1",
name="name1",
_fill_optional=['eoo'])
self.com1.save()
self.taxon0 = mommy.make(
Taxon,
name_id=1000,
name="name0",
_fill_optional=['rank', 'eoo'])
self.taxon0.save()
self.user = get_user_model().objects.create_superuser(
username="superuser",
email="super@gmail.com",
password="test")
self.user.save()
self.consthreatcat = cons_models.ConservationThreatCategory.objects.create(
code="weeds",
label="Weeds",
description="invasive weeds"
)
self.consthreat = cons_models.ConservationThreat.objects.create(
category=self.consthreatcat,
cause="burnif of some stuff",
occurrence_area_code="area1"
)
self.consthreat.communities.add(self.com0)
self.consactioncat = cons_models.ConservationActionCategory.objects.create(
code="burn",
label="Burn",
description="Burn everything")
self.consact = cons_models.ConservationAction.objects.create(
category=self.consactioncat,
instructions="burn some stuff",
occurrence_area_code="area1")
self.consact.communities.add(self.com0)
self.cae = occ_models.CommunityAreaEncounter.objects.create(
community=self.com0,
source_id = uuid.uuid1(),
encountered_on=timezone.now(),
encountered_by=self.user,
code="area1",
label="Area 1",
point=GEOSGeometry('POINT (115 -32)', srid=4326),
geom=GEOSGeometry(
'{ "type": "Polygon", "coordinates": [ [ [ 116.586914, -32.916485 ], '
'[ 116.586914, -30.977609 ], [ 120.27832, -30.977609 ], '
'[ 120.27832, -32.916485 ], [ 116.586914, -32.916485 ] ] ] }')
)
self.cae1 = occ_models.CommunityAreaEncounter.objects.create(
community=self.com0,
source_id = uuid.uuid1(),
encountered_on=timezone.now(),
encountered_by=self.user,
code="area2",
label="Area 2",
point=GEOSGeometry('POINT (115 -32)', srid=4326)
)
self.fatt = occ_models.FileAttachment.objects.create(
encounter=self.cae,
attachment=SimpleUploadedFile('testfile.txt', b'These are the file contents.'),
title="test",
author=self.user
)
self.fatt.save()
self.fatt1 = occ_models.FileAttachment.objects.create(
encounter=self.cae,
attachment=SimpleUploadedFile('testfile.txt', b'These are the file contents.'),
title="test",
author=self.user,
confidential=True,
)
self.fatt1.save()
self.asssp1 = occ_models.AssociatedSpecies.objects.create(
encounter=self.cae,
taxon=self.taxon0
)
self.asssp1.save()
self.fh1 = occ_models.FireHistory.objects.create(
encounter=self.cae,
last_fire_date=timezone.now().date(),
fire_intensity=occ_models.FireHistory.HMLN_HIGH
)
self.fh1.save()
self.vc = occ_models.VegetationClassification.objects.create(
encounter=self.cae,
level1="lsdkfjlksdf",
level2="slkdjflskdjf",
level3="sdklsjdf",
level4="sldkfjslkdjfskdf"
)
self.vc.save()
self.aa0 = occ_models.AreaAssessment.objects.create(
encounter=self.cae,
area_surveyed_m2=None,
survey_duration_min=None
)
self.aa0.save()
self.aa1 = occ_models.AreaAssessment.objects.create(
encounter=self.cae,
area_surveyed_m2=200,
survey_duration_min=None
)
self.aa1.save()
self.aa2 = occ_models.AreaAssessment.objects.create(
encounter=self.cae,
area_surveyed_m2=532,
survey_duration_min=47
)
self.aa2.save()
self.soiltype, created = occ_models.SoilType.objects.get_or_create(
code="test-soil-type", label="Test soil type")
self.hc = occ_models.HabitatComposition.objects.create(
encounter=self.cae,
# landform,
# rock_type,
# loose_rock_percent,
soil_type=self.soiltype,
# soil_colour,
# drainage,
)
self.habcond = occ_models.HabitatCondition.objects.get_or_create(
encounter=self.cae,
pristine_percent=12,
excellent_percent=23,
very_good_percent=34,
good_percent=45,
degraded_percent=56,
completely_degraded_percent=67,
)
# TODO: animalobservation, physicalsample, plantcount
self.client.force_login(self.user)
def test_cae_absolute_admin_url_loads(self):
"""Test CommunityAreaEncounter absolute_admin_url."""
response = self.client.get(self.cae.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_cae_list_url_loads(self):
"""Test that CommunityAreaEncounter list_url loads."""
self.assertEqual(self.cae.list_url(),
reverse('occurrence:communityareaencounter-list'))
response = self.client.get(self.cae.list_url())
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'pages/default_list.html')
def test_cae_detail_url_loads(self):
"""Test CommunityAreaEncounter get_absolute_url."""
url = reverse('occurrence:communityareaencounter-detail',
kwargs={'pk': self.cae.pk})
self.assertEqual(url, self.cae.get_absolute_url())
response = self.client.get(self.cae.get_absolute_url())
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'occurrence/cards/fileattachment.html')
self.assertTemplateUsed(response, 'occurrence/cards/habitatcomposition.html')
self.assertTemplateUsed(response, 'occurrence/cards/areaassessment.html')
self.assertTemplateUsed(response, 'occurrence/cards/habitatcondition.html')
self.assertTemplateUsed(response, 'occurrence/cards/firehistory.html')
self.assertTemplateUsed(response, 'occurrence/cards/vegetationclassification.html')
self.assertTemplateUsed(response, 'occurrence/cards/associatedspecies.html')
response = self.client.get(self.cae1.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_community_detail_url_loads(self):
"""Test Community detail_url."""
response = self.client.get(self.cae.community.get_absolute_url())
self.assertEqual(response.status_code, 200)
self.assertContains(response, self.cae.code.title())
self.assertContains(response, self.cae1.code.title())
self.assertContains(response, self.consthreat.cause)
self.assertContains(response, self.consact.instructions)
self.assertTemplateUsed(response, 'conservation/cards/conservationthreat.html')
self.assertTemplateUsed(response, 'conservation/cards/conservationaction.html')
self.assertTemplateUsed(response, 'occurrence/cards/areaencounter.html')
def test_cae_update_url_loads(self):
"""Test CommunityAreaEncounter update_url."""
url = reverse('occurrence:communityareaencounter-update',
kwargs={'pk': self.cae.pk})
self.assertEqual(url, self.cae.update_url)
response = self.client.get(self.cae.update_url)
self.assertEqual(response.status_code, 200)
def test_cae_create_url_loads(self):
"""Test CommunityAreaEncounter create_url."""
url = reverse('occurrence:communityareaencounter-create')
self.assertEqual(url, occ_models.CommunityAreaEncounter.create_url())
response = self.client.get(occ_models.CommunityAreaEncounter.create_url())
self.assertEqual(response.status_code, 200)
# test create CAE with args: com pk, area code
# ------------------------------------------------------------------------#
# CAE AssociatedSpeciesObservation
def test_asssp_absolute_admin_url_loads(self):
"""Test AssociatedSpeciesObservation absolute_admin_url."""
response = self.client.get(self.asssp1.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_asssp_detail_url_loads(self):
"""Test AssociatedSpeciesObservation get_absolute_url()."""
response = self.client.get(self.asssp1.get_absolute_url())
self.assertEqual(self.asssp1.get_absolute_url(), self.asssp1.encounter.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_asssp_update_url_loads(self):
"""Test AssociatedSpeciesObservation update_url."""
response = self.client.get(self.asssp1.update_url)
self.assertEqual(response.status_code, 200)
# ------------------------------------------------------------------------#
# CAE FireHistoryObservation
def test_fh_absolute_admin_url_loads(self):
"""Test FireHistoryObservation absolute_admin_url."""
response = self.client.get(self.fh1.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_fh_detail_url_loads(self):
"""Test FireHistoryObservation get_absolute_url()."""
response = self.client.get(self.fh1.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_fh_update_url_loads(self):
"""Test FireHistoryObservation update_url."""
response = self.client.get(self.fh1.update_url)
self.assertEqual(response.status_code, 200)
# ------------------------------------------------------------------------#
# TAE AreaAssessmentObservation
def test_aa_absolute_admin_url_loads(self):
"""Test AreaAssessmentObservation absolute_admin_url."""
response = self.client.get(self.aa0.absolute_admin_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa1.absolute_admin_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa2.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_aa_detail_url_loads(self):
"""Test AreaAssessmentObservation get_absolute_url."""
response = self.client.get(self.aa0.get_absolute_url())
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa1.get_absolute_url())
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa2.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_aa_update_url_loads(self):
"""Test AreaAssessmentObservation update_url."""
response = self.client.get(self.aa0.update_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa1.update_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa2.update_url)
self.assertEqual(response.status_code, 200)
class TaxonAreaEncounterTests(TestCase):
"""TaxonAreaEncounter and related ObservationGroup tests."""
def setUp(self):
"""Shared objects.
Bugs with TestMommy vs django-polymorphic:
https://github.com/django-polymorphic/django-polymorphic/issues/280
https://github.com/django-polymorphic/django-polymorphic/issues/109
polymorphic/models.py", line 112, in get_real_instance_class
and not issubclass(model, self.__class__._meta.proxy_for_model):
TypeError: issubclass() arg 2 must be a class or tuple of classes
"""
self.taxon0 = mommy.make(
Taxon,
name_id=1000,
name="name0",
_fill_optional=['rank', 'eoo'])
self.taxon0.save()
self.taxon1 = mommy.make(
Taxon,
name_id=1001,
name="name1",
_fill_optional=['rank', 'eoo'])
self.taxon1.save()
self.taxon2 = mommy.make(
Taxon,
name_id=1002,
name="name2",
_fill_optional=['rank', 'eoo'])
self.taxon2.save()
self.user = get_user_model().objects.create_superuser(
username="superuser",
email="super@gmail.com",
password="test")
self.user.save()
self.tae = occ_models.TaxonAreaEncounter.objects.create(
taxon=self.taxon0,
source_id = uuid.uuid1(),
encountered_on=timezone.now(),
encountered_by=self.user,
code="area1",
label="Area 1",
point=GEOSGeometry('POINT (115 -32)', srid=4326),
geom=GEOSGeometry(
'{ "type": "Polygon", "coordinates": [ [ [ 116.586914, -32.916485 ], '
'[ 116.586914, -30.977609 ], [ 120.27832, -30.977609 ], '
'[ 120.27832, -32.916485 ], [ 116.586914, -32.916485 ] ] ] }')
)
self.tae1 = occ_models.TaxonAreaEncounter.objects.create(
taxon=self.taxon0,
source_id = uuid.uuid1(),
encountered_on=timezone.now(),
encountered_by=self.user,
point=GEOSGeometry('POINT (115 -32)', srid=4326)
)
self.asssp1 = occ_models.AssociatedSpecies.objects.create(
encounter=self.tae,
taxon=self.taxon1
)
self.asssp1.save()
self.asssp2 = occ_models.AssociatedSpecies.objects.create(
encounter=self.tae,
taxon=self.taxon2
)
self.asssp2.save()
self.fh1 = occ_models.FireHistory.objects.create(
encounter=self.tae,
last_fire_date=timezone.now(),
fire_intensity=occ_models.FireHistory.HMLN_HIGH
)
self.fh1.save()
self.vc = occ_models.VegetationClassification.objects.create(
encounter=self.tae,
level1="lsdkfjlksdf",
level2="slkdjflskdjf",
level3="sdklsjdf",
level4="sldkfjslkdjfskdf"
)
self.vc.save()
self.fatt = occ_models.FileAttachment.objects.create(
encounter=self.tae,
attachment=SimpleUploadedFile(
'testfile.txt', b'These are the file contents.'),
title="test",
author=self.user
)
self.fatt.save()
self.fatt1 = occ_models.FileAttachment.objects.create(
encounter=self.tae,
attachment=SimpleUploadedFile(
'testfile.txt', b'These are the file contents.'),
title="test",
author=self.user,
confidential=True
)
self.fatt1.save()
self.aa0 = occ_models.AreaAssessment.objects.create(
encounter=self.tae,
area_surveyed_m2=None,
survey_duration_min=None
)
self.aa0.save()
self.aa1 = occ_models.AreaAssessment.objects.create(
encounter=self.tae,
area_surveyed_m2=200,
survey_duration_min=None
)
self.aa1.save()
self.aa2 = occ_models.AreaAssessment.objects.create(
encounter=self.tae,
area_surveyed_m2=532,
survey_duration_min=47
)
self.aa2.save()
# TODO add cons threat
self.habcond = occ_models.HabitatCondition.objects.get_or_create(
encounter=self.tae,
pristine_percent=12,
excellent_percent=23,
very_good_percent=34,
good_percent=45,
degraded_percent=56,
completely_degraded_percent=67,
)
self.client.force_login(self.user)
def test_home_loads(self):
"""Test index page."""
response = self.client.get(reverse("home"))
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'pages/index.html')
def test_healthcheck_loads(self):
"""Test index page."""
response = self.client.get(reverse("healthcheck"))
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'pages/healthcheck.html')
def test_tae_absolute_admin_url_loads(self):
"""Test absolute admin url."""
response = self.client.get(self.tae.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_taxon_detail_url_loads(self):
"""Test Taxon detail_url. Maps fits geom or point."""
response = self.client.get(self.tae.taxon.get_absolute_url())
self.assertEqual(response.status_code, 200)
response = self.client.get(self.tae1.taxon.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_tae_list_url_loads(self):
"""Test that TaxonAreaEncounter list_url loads."""
self.assertEqual(self.tae.list_url(), reverse('occurrence:taxonareaencounter-list'))
response = self.client.get(self.tae.list_url())
self.assertEqual(response.status_code, 200)
self.assertTemplateUsed(response, 'pages/default_list.html')
# self.assertContains(response, self.taxon0.name) # TODO test for a taxon within first page
def test_tae_detail_url_loads(self):
"""Test taxon detail url works and loads."""
detail_url_constructed = reverse('occurrence:taxonareaencounter-detail',
kwargs={'pk': self.tae.pk})
self.assertEqual(detail_url_constructed, self.tae.get_absolute_url())
response = self.client.get(self.tae.get_absolute_url())
self.assertEqual(response.status_code, 200)
self.assertContains(response, self.taxon0.name)
self.assertContains(response, self.fatt.title)
self.assertContains(response, self.fatt.author)
self.assertTemplateUsed(response, 'occurrence/taxonareaencounter_detail.html')
self.assertTemplateUsed(response, 'occurrence/cards/fileattachment.html')
self.assertTemplateUsed(response, 'occurrence/cards/areaassessment.html')
self.assertTemplateUsed(response, 'occurrence/cards/habitatcondition.html')
self.assertTemplateUsed(response, 'occurrence/cards/firehistory.html')
self.assertTemplateUsed(response, 'occurrence/cards/vegetationclassification.html')
self.assertTemplateUsed(response, 'occurrence/cards/associatedspecies.html')
# Test that map centers around tae.point if tae.geom is None
self.tae.geom = None
self.tae.save()
response = self.client.get(self.tae.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_tae_update_url_loads(self):
"""Test taxon update url works and loads."""
update_url_constructed = reverse('occurrence:taxonareaencounter-update',
kwargs={'pk': self.tae.pk})
self.assertEqual(update_url_constructed, self.tae.update_url)
response = self.client.get(self.tae.update_url)
self.assertEqual(response.status_code, 200)
# ------------------------------------------------------------------------#
# TAE AssociatedSpeciesObservation
def test_asssp_absolute_admin_url_loads(self):
"""Test AssociatedSpeciesObservation absolute_admin_url."""
url = self.asssp1.absolute_admin_url
response = self.client.get(url)
self.assertEqual(response.status_code, 200)
def test_asssp_detail_url_loads(self):
"""Test AssociatedSpeciesObservation get_absolute_url."""
response = self.client.get(self.asssp1.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_asssp_update_url_loads(self):
"""Test AssociatedSpeciesObservation update_url."""
response = self.client.get(self.asssp1.update_url)
self.assertEqual(response.status_code, 200)
# ------------------------------------------------------------------------#
# TAE FireHistoryObservation
def test_fh_absolute_admin_url_loads(self):
"""Test FireHistoryObservation absolute_admin_url."""
response = self.client.get(self.fh1.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_fh_detail_url_loads(self):
"""Test FireHistoryObservation get_absolute_url."""
response = self.client.get(self.fh1.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_fh_update_url_loads(self):
"""Test FireHistoryObservation update_url."""
response = self.client.get(self.fh1.update_url)
self.assertEqual(response.status_code, 200)
# ------------------------------------------------------------------------#
# TAE PlantCount
# def test_pc_absolute_admin_url_loads(self):
# """Test FireHistoryObservation absolute_admin_url."""
# response = self.client.get(self.fh1.absolute_admin_url)
# self.assertEqual(response.status_code, 200)
# def test_pc_detail_url_loads(self):
# """Test FireHistoryObservation get_absolute_url."""
# response = self.client.get(self.fh1.get_absolute_url())
# self.assertEqual(response.status_code, 200)
# def test_pc_update_url_loads(self):
# """Test FireHistoryObservation update_url."""
# response = self.client.get(self.fh1.update_url)
# self.assertEqual(response.status_code, 200)
# ------------------------------------------------------------------------#
# TAE FileAttachmentObservation
def test_fatt_absolute_admin_url_loads(self):
"""Test FileAttachmentObservation absolute_admin_url."""
response = self.client.get(self.fatt.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_fatt_detail_url_loads(self):
"""Test FileAttachmentObservation get_absolute_url."""
response = self.client.get(self.fatt.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_fatt_update_url_loads(self):
"""Test FileAttachmentObservation update_url."""
response = self.client.get(self.fatt.update_url)
self.assertEqual(response.status_code, 200)
# ------------------------------------------------------------------------#
# TAE AreaAssessmentObservation
def test_aa_absolute_admin_url_loads(self):
"""Test AreaAssessmentObservation absolute_admin_url."""
response = self.client.get(self.aa0.absolute_admin_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa1.absolute_admin_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa2.absolute_admin_url)
self.assertEqual(response.status_code, 200)
def test_aa_detail_url_loads(self):
"""Test AreaAssessmentObservation get_absolute_url."""
response = self.client.get(self.aa0.get_absolute_url())
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa1.get_absolute_url())
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa2.get_absolute_url())
self.assertEqual(response.status_code, 200)
def test_aa_update_url_loads(self):
"""Test AreaAssessmentObservation update_url."""
response = self.client.get(self.aa0.update_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa1.update_url)
self.assertEqual(response.status_code, 200)
response = self.client.get(self.aa2.update_url)
self.assertEqual(response.status_code, 200)
class AreaEncounterBulkTests(TestCase):
"""Test views with lots of Taxon Encounters."""
fixtures = [
# 'occurrence/fixtures/many_tae.json',
# 'occurrence/fixtures/many_cae.json'
]
def test_taxon_detail_with_many_occurences(self):
"""Test how the taxon detail page works with more than 100 occurrences."""
# one animal with more than 100 occurrences
# one plant with more than 100 occurrences
pass
| 38.989537
| 99
| 0.635447
| 2,775
| 26,084
| 5.778018
| 0.114955
| 0.044905
| 0.058376
| 0.068105
| 0.825745
| 0.756517
| 0.721841
| 0.698266
| 0.669702
| 0.661532
| 0
| 0.02852
| 0.237809
| 26,084
| 668
| 100
| 39.047904
| 0.777979
| 0.174283
| 0
| 0.636971
| 0
| 0.008909
| 0.094887
| 0.046687
| 0
| 0
| 0
| 0.002994
| 0.18931
| 1
| 0.082405
| false
| 0.006682
| 0.028953
| 0
| 0.120267
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
178fab62fc4415419e43064e55f595e35fcf4842
| 152
|
py
|
Python
|
07-Array-Oriented-Programming-with-NumPy/7-3-Element-Wise-Array-Multiplication.py
|
rajevac/deitel-intro-to-python-exercises
|
05f427d35ebb4bd315904f6919659335b1bf3fc9
|
[
"MIT"
] | null | null | null |
07-Array-Oriented-Programming-with-NumPy/7-3-Element-Wise-Array-Multiplication.py
|
rajevac/deitel-intro-to-python-exercises
|
05f427d35ebb4bd315904f6919659335b1bf3fc9
|
[
"MIT"
] | null | null | null |
07-Array-Oriented-Programming-with-NumPy/7-3-Element-Wise-Array-Multiplication.py
|
rajevac/deitel-intro-to-python-exercises
|
05f427d35ebb4bd315904f6919659335b1bf3fc9
|
[
"MIT"
] | null | null | null |
import numpy as np
arr_1 = np.arange(2, 19, 2).reshape(3, 3)
print(arr_1)
arr_2 = np.arange(9, 0, -1).reshape(3, 3)
print(arr_2)
print(arr_1 * arr_2)
| 16.888889
| 41
| 0.664474
| 35
| 152
| 2.714286
| 0.4
| 0.126316
| 0.189474
| 0.294737
| 0.547368
| 0
| 0
| 0
| 0
| 0
| 0
| 0.131783
| 0.151316
| 152
| 9
| 42
| 16.888889
| 0.604651
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 0.5
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
1797bc3df7a60b9a64e44798134c49dd69e9da5d
| 177
|
py
|
Python
|
entities/admin.py
|
acdh-oeaw/metarita
|
de7484adc689fcb461cbe0abe40672e05e78e37e
|
[
"MIT"
] | null | null | null |
entities/admin.py
|
acdh-oeaw/metarita
|
de7484adc689fcb461cbe0abe40672e05e78e37e
|
[
"MIT"
] | 6
|
2018-06-13T15:05:30.000Z
|
2021-06-10T20:15:37.000Z
|
entities/admin.py
|
acdh-oeaw/metarita
|
de7484adc689fcb461cbe0abe40672e05e78e37e
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from reversion_compare.admin import CompareVersionAdmin
from .models import Person, Place, Institution, Event, Work
admin.site.register(Work)
| 25.285714
| 59
| 0.830508
| 23
| 177
| 6.347826
| 0.695652
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0.107345
| 177
| 6
| 60
| 29.5
| 0.924051
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| true
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| 0.75
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| null | 0
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| null | 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
bd853aa61a712e78d48d2cbc0b0159cae32d6a11
| 167
|
py
|
Python
|
api/app/schemas/note.py
|
malokhvii-eduard/yanotes
|
3f0a3acdd5c2ea51a9e0ade3a713f937b0f1548d
|
[
"MIT"
] | null | null | null |
api/app/schemas/note.py
|
malokhvii-eduard/yanotes
|
3f0a3acdd5c2ea51a9e0ade3a713f937b0f1548d
|
[
"MIT"
] | null | null | null |
api/app/schemas/note.py
|
malokhvii-eduard/yanotes
|
3f0a3acdd5c2ea51a9e0ade3a713f937b0f1548d
|
[
"MIT"
] | null | null | null |
from pydantic import BaseModel, conint
class NoteIn(BaseModel):
title: str
content: str
user_id: conint(ge=1)
class Note(NoteIn):
id: conint(ge=1)
| 13.916667
| 38
| 0.676647
| 24
| 167
| 4.666667
| 0.625
| 0.142857
| 0.178571
| 0.196429
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.015385
| 0.221557
| 167
| 11
| 39
| 15.181818
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.142857
| 0
| 1
| 0
| 1
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| 0
| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
bd9d2eaaff6e1ed36d8f8fe1f36744de17f8adc8
| 56,108
|
py
|
Python
|
Lib/site-packages/OCC/BRepFilletAPI.py
|
JWerbrouck/RWTH_M1_Projekt
|
7ae63a2277361fa3273cf0677b297379482b8240
|
[
"bzip2-1.0.6"
] | null | null | null |
Lib/site-packages/OCC/BRepFilletAPI.py
|
JWerbrouck/RWTH_M1_Projekt
|
7ae63a2277361fa3273cf0677b297379482b8240
|
[
"bzip2-1.0.6"
] | 1
|
2022-03-17T16:46:04.000Z
|
2022-03-17T16:46:04.000Z
|
Lib/site-packages/OCC/BRepFilletAPI.py
|
JWerbrouck/RWTH_M1_Projekt
|
7ae63a2277361fa3273cf0677b297379482b8240
|
[
"bzip2-1.0.6"
] | null | null | null |
# This file was automatically generated by SWIG (http://www.swig.org).
# Version 3.0.1
#
# Do not make changes to this file unless you know what you are doing--modify
# the SWIG interface file instead.
from sys import version_info
if version_info >= (3,0,0):
new_instancemethod = lambda func, inst, cls: _BRepFilletAPI.SWIG_PyInstanceMethod_New(func)
else:
from new import instancemethod as new_instancemethod
if version_info >= (2,6,0):
def swig_import_helper():
from os.path import dirname
import imp
fp = None
try:
fp, pathname, description = imp.find_module('_BRepFilletAPI', [dirname(__file__)])
except ImportError:
import _BRepFilletAPI
return _BRepFilletAPI
if fp is not None:
try:
_mod = imp.load_module('_BRepFilletAPI', fp, pathname, description)
finally:
fp.close()
return _mod
_BRepFilletAPI = swig_import_helper()
del swig_import_helper
else:
import _BRepFilletAPI
del version_info
try:
_swig_property = property
except NameError:
pass # Python < 2.2 doesn't have 'property'.
def _swig_setattr_nondynamic(self,class_type,name,value,static=1):
if (name == "thisown"): return self.this.own(value)
if (name == "this"):
if type(value).__name__ == 'SwigPyObject':
self.__dict__[name] = value
return
method = class_type.__swig_setmethods__.get(name,None)
if method: return method(self,value)
if (not static):
self.__dict__[name] = value
else:
raise AttributeError("You cannot add attributes to %s" % self)
def _swig_setattr(self,class_type,name,value):
return _swig_setattr_nondynamic(self,class_type,name,value,0)
def _swig_getattr(self,class_type,name):
if (name == "thisown"): return self.this.own()
method = class_type.__swig_getmethods__.get(name,None)
if method: return method(self)
raise AttributeError(name)
def _swig_repr(self):
try: strthis = "proxy of " + self.this.__repr__()
except: strthis = ""
return "<%s.%s; %s >" % (self.__class__.__module__, self.__class__.__name__, strthis,)
try:
_object = object
_newclass = 1
except AttributeError:
class _object : pass
_newclass = 0
def _swig_setattr_nondynamic_method(set):
def set_attr(self,name,value):
if (name == "thisown"): return self.this.own(value)
if hasattr(self,name) or (name == "this"):
set(self,name,value)
else:
raise AttributeError("You cannot add attributes to %s" % self)
return set_attr
class SwigPyIterator(object):
thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined - class is abstract")
__repr__ = _swig_repr
__swig_destroy__ = _BRepFilletAPI.delete_SwigPyIterator
def __iter__(self): return self
SwigPyIterator.value = new_instancemethod(_BRepFilletAPI.SwigPyIterator_value,None,SwigPyIterator)
SwigPyIterator.incr = new_instancemethod(_BRepFilletAPI.SwigPyIterator_incr,None,SwigPyIterator)
SwigPyIterator.decr = new_instancemethod(_BRepFilletAPI.SwigPyIterator_decr,None,SwigPyIterator)
SwigPyIterator.distance = new_instancemethod(_BRepFilletAPI.SwigPyIterator_distance,None,SwigPyIterator)
SwigPyIterator.equal = new_instancemethod(_BRepFilletAPI.SwigPyIterator_equal,None,SwigPyIterator)
SwigPyIterator.copy = new_instancemethod(_BRepFilletAPI.SwigPyIterator_copy,None,SwigPyIterator)
SwigPyIterator.next = new_instancemethod(_BRepFilletAPI.SwigPyIterator_next,None,SwigPyIterator)
SwigPyIterator.__next__ = new_instancemethod(_BRepFilletAPI.SwigPyIterator___next__,None,SwigPyIterator)
SwigPyIterator.previous = new_instancemethod(_BRepFilletAPI.SwigPyIterator_previous,None,SwigPyIterator)
SwigPyIterator.advance = new_instancemethod(_BRepFilletAPI.SwigPyIterator_advance,None,SwigPyIterator)
SwigPyIterator.__eq__ = new_instancemethod(_BRepFilletAPI.SwigPyIterator___eq__,None,SwigPyIterator)
SwigPyIterator.__ne__ = new_instancemethod(_BRepFilletAPI.SwigPyIterator___ne__,None,SwigPyIterator)
SwigPyIterator.__iadd__ = new_instancemethod(_BRepFilletAPI.SwigPyIterator___iadd__,None,SwigPyIterator)
SwigPyIterator.__isub__ = new_instancemethod(_BRepFilletAPI.SwigPyIterator___isub__,None,SwigPyIterator)
SwigPyIterator.__add__ = new_instancemethod(_BRepFilletAPI.SwigPyIterator___add__,None,SwigPyIterator)
SwigPyIterator.__sub__ = new_instancemethod(_BRepFilletAPI.SwigPyIterator___sub__,None,SwigPyIterator)
SwigPyIterator_swigregister = _BRepFilletAPI.SwigPyIterator_swigregister
SwigPyIterator_swigregister(SwigPyIterator)
import OCC.BRepBuilderAPI
import OCC.Geom
import OCC.MMgt
import OCC.Standard
import OCC.gp
import OCC.TCollection
import OCC.GeomAbs
import OCC.TColgp
import OCC.TColStd
import OCC.TopoDS
import OCC.TopLoc
import OCC.TopAbs
import OCC.TopTools
import OCC.Message
import OCC.BRepTools
import OCC.Bnd
import OCC.BRep
import OCC.Poly
import OCC.NCollection
import OCC.TShort
import OCC.Geom2d
import OCC.ChFiDS
import OCC.Adaptor3d
import OCC.Adaptor2d
import OCC.math
import OCC.BRepAdaptor
import OCC.GeomAdaptor
import OCC.Geom2dAdaptor
import OCC.Law
import OCC.ChFi2d
import OCC.TopOpeBRepBuild
import OCC.TopOpeBRepTool
import OCC.BRepClass3d
import OCC.IntCurveSurface
import OCC.Intf
import OCC.IntSurf
import OCC.IntCurvesFace
import OCC.Extrema
import OCC.TopOpeBRepDS
import OCC.ChFi3d
import OCC.GeomFill
import OCC.Convert
import OCC.AppBlend
import OCC.Approx
import OCC.AppCont
import OCC.AppParCurves
import OCC.TColGeom
import OCC.BRepBlend
import OCC.Blend
import OCC.BlendFunc
class BRepFilletAPI_LocalOperation(OCC.BRepBuilderAPI.BRepBuilderAPI_MakeShape):
thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
def __init__(self, *args, **kwargs): raise AttributeError("No constructor defined")
__repr__ = _swig_repr
def Add(self, *args):
"""
* Adds a contour in the builder (builds a contour of tangent edges).
:param E:
:type E: TopoDS_Edge &
:rtype: void
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Add(self, *args)
def ResetContour(self, *args):
"""
* Reset the contour of index IC, there is nomore information in the contour.
:param IC:
:type IC: int
:rtype: void
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_ResetContour(self, *args)
def NbContours(self, *args):
"""
* Number of contours.
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_NbContours(self, *args)
def Contour(self, *args):
"""
* Returns the index of the contour containing the edge E, returns 0 if E doesn't belong to any contour.
:param E:
:type E: TopoDS_Edge &
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Contour(self, *args)
def NbEdges(self, *args):
"""
* Number of Edges in the contour I.
:param I:
:type I: int
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_NbEdges(self, *args)
def Edge(self, *args):
"""
* Returns the Edge J in the contour I.
:param I:
:type I: int
:param J:
:type J: int
:rtype: TopoDS_Edge
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Edge(self, *args)
def Remove(self, *args):
"""
* remove the contour containing the Edge E.
:param E:
:type E: TopoDS_Edge &
:rtype: void
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Remove(self, *args)
def Length(self, *args):
"""
* returns the length the contour of index IC.
:param IC:
:type IC: int
:rtype: float
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Length(self, *args)
def FirstVertex(self, *args):
"""
* Returns the first Vertex of the contour of index IC.
:param IC:
:type IC: int
:rtype: TopoDS_Vertex
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_FirstVertex(self, *args)
def LastVertex(self, *args):
"""
* Returns the last Vertex of the contour of index IC.
:param IC:
:type IC: int
:rtype: TopoDS_Vertex
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_LastVertex(self, *args)
def Abscissa(self, *args):
"""
* returns the abscissa of the vertex V on the contour of index IC.
:param IC:
:type IC: int
:param V:
:type V: TopoDS_Vertex &
:rtype: float
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Abscissa(self, *args)
def RelativeAbscissa(self, *args):
"""
* returns the relative abscissa([0.,1.]) of the vertex V on the contour of index IC.
:param IC:
:type IC: int
:param V:
:type V: TopoDS_Vertex &
:rtype: float
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_RelativeAbscissa(self, *args)
def ClosedAndTangent(self, *args):
"""
* returns true if the contour of index IC is closed an tangent.
:param IC:
:type IC: int
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_ClosedAndTangent(self, *args)
def Closed(self, *args):
"""
* returns true if the contour of index IC is closed
:param IC:
:type IC: int
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Closed(self, *args)
def Reset(self, *args):
"""
* Reset all the fields updated by Build operation and leave the algorithm in the same state than before build call. It allows contours and radius modifications to build the result another time.
:rtype: void
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Reset(self, *args)
def Simulate(self, *args):
"""
:param IC:
:type IC: int
:rtype: void
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Simulate(self, *args)
def NbSurf(self, *args):
"""
:param IC:
:type IC: int
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_NbSurf(self, *args)
def Sect(self, *args):
"""
:param IC:
:type IC: int
:param IS:
:type IS: int
:rtype: Handle_ChFiDS_SecHArray1
"""
return _BRepFilletAPI.BRepFilletAPI_LocalOperation_Sect(self, *args)
def __del__(self):
try:
self.thisown = False
GarbageCollector.garbage.collect_object(self)
except:
pass
BRepFilletAPI_LocalOperation.Add = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Add,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.ResetContour = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_ResetContour,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.NbContours = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_NbContours,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Contour = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Contour,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.NbEdges = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_NbEdges,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Edge = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Edge,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Remove = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Remove,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Length = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Length,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.FirstVertex = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_FirstVertex,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.LastVertex = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_LastVertex,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Abscissa = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Abscissa,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.RelativeAbscissa = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_RelativeAbscissa,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.ClosedAndTangent = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_ClosedAndTangent,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Closed = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Closed,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Reset = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Reset,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Simulate = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Simulate,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.NbSurf = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_NbSurf,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation.Sect = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation_Sect,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation._kill_pointed = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_LocalOperation__kill_pointed,None,BRepFilletAPI_LocalOperation)
BRepFilletAPI_LocalOperation_swigregister = _BRepFilletAPI.BRepFilletAPI_LocalOperation_swigregister
BRepFilletAPI_LocalOperation_swigregister(BRepFilletAPI_LocalOperation)
class BRepFilletAPI_MakeFillet2d(OCC.BRepBuilderAPI.BRepBuilderAPI_MakeShape):
thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
__repr__ = _swig_repr
def __init__(self, *args):
"""
* Initializes an empty algorithm for computing fillets and chamfers. The face on which the fillets and chamfers are built is defined using the Init function. The vertices on which fillets or chamfers are built are defined using the AddFillet or AddChamfer function. Warning The status of the initialization, as given by the Status function, can be one of the following: - ChFi2d_Ready if the initialization is correct, - ChFi2d_NotPlanar if F is not planar, - ChFi2d_NoFace if F is a null face.
:rtype: None
* Initializes an algorithm for computing fillets and chamfers on the face F. The vertices on which fillets or chamfers are built are defined using the AddFillet or AddChamfer function. Warning The status of the initialization, as given by the Status function, can be one of the following: - ChFi2d_Ready if the initialization is correct, - ChFi2d_NotPlanar if F is not planar, - ChFi2d_NoFace if F is a null face.
:param F:
:type F: TopoDS_Face &
:rtype: None
"""
_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_swiginit(self,_BRepFilletAPI.new_BRepFilletAPI_MakeFillet2d(*args))
def Init(self, *args):
"""
* Initializes this algorithm for constructing fillets or chamfers with the face F. Warning The status of the initialization, as given by the Status function, can be one of the following: - ChFi2d_Ready if the initialization is correct, - ChFi2d_NotPlanar if F is not planar, - ChFi2d_NoFace if F is a null face.
:param F:
:type F: TopoDS_Face &
:rtype: None
* This initialize method allow to init the builder from a face <RefFace> and another face <ModFace> which derive from <RefFace>. This is usefull to modify a fillet or a chamfer already created on <ModFace> .
:param RefFace:
:type RefFace: TopoDS_Face &
:param ModFace:
:type ModFace: TopoDS_Face &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_Init(self, *args)
def AddFillet(self, *args):
"""
* Adds a fillet of radius Radius between the two edges adjacent to the vertex V on the face modified by this algorithm. The two edges do not need to be rectilinear. This function returns the fillet and builds the resulting face. Warning The status of the construction, as given by the Status function, can be one of the following: - ChFi2d_IsDone if the fillet is built, - ChFi2d_ConnexionError if V does not belong to the initial face, - ChFi2d_ComputationError if Radius is too large to build a fillet between the two adjacent edges, - ChFi2d_NotAuthorized - if one of the two edges connected to V is a fillet or chamfer, or - if a curve other than a straight line or an arc of a circle is used as E, E1 or E2. Do not use the returned fillet if the status of the construction is not ChFi2d_IsDone. Exceptions Standard_NegativeValue if Radius is less than or equal to zero.
:param V:
:type V: TopoDS_Vertex &
:param Radius:
:type Radius: float
:rtype: TopoDS_Edge
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_AddFillet(self, *args)
def ModifyFillet(self, *args):
"""
* Assigns the radius Radius to the fillet Fillet already built on the face modified by this algorithm. This function returns the new fillet and modifies the existing face. Warning The status of the construction, as given by the Status function, can be one of the following: - ChFi2d_IsDone if the new fillet is built, - ChFi2d_ConnexionError if Fillet does not belong to the existing face, - ChFi2d_ComputationError if Radius is too large to build a fillet between the two adjacent edges. Do not use the returned fillet if the status of the construction is not ChFi2d_IsDone. Exceptions Standard_NegativeValue if Radius is less than or equal to zero.
:param Fillet:
:type Fillet: TopoDS_Edge &
:param Radius:
:type Radius: float
:rtype: TopoDS_Edge
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_ModifyFillet(self, *args)
def RemoveFillet(self, *args):
"""
* Removes the fillet Fillet already built on the face modified by this algorithm. This function returns the vertex connecting the two adjacent edges of Fillet and modifies the existing face. Warning - The returned vertex is only valid if the Status function returns ChFi2d_IsDone. - A null vertex is returned if the edge Fillet does not belong to the initial face.
:param Fillet:
:type Fillet: TopoDS_Edge &
:rtype: TopoDS_Vertex
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_RemoveFillet(self, *args)
def AddChamfer(self, *args):
"""
* Adds a chamfer on the face modified by this algorithm between the two adjacent edges E1 and E2, where the extremities of the chamfer are on E1 and E2 at distances D1 and D2 respectively In cases where the edges are not rectilinear, distances are measured using the curvilinear abscissa of the edges and the angle is measured with respect to the tangent at the corresponding point. The angle Ang is given in radians. This function returns the chamfer and builds the resulting face.
:param E1:
:type E1: TopoDS_Edge &
:param E2:
:type E2: TopoDS_Edge &
:param D1:
:type D1: float
:param D2:
:type D2: float
:rtype: TopoDS_Edge
* Adds a chamfer on the face modified by this algorithm between the two edges connected by the vertex V, where E is one of the two edges. The chamfer makes an angle Ang with E and one of its extremities is on E at distance D from V. In cases where the edges are not rectilinear, distances are measured using the curvilinear abscissa of the edges and the angle is measured with respect to the tangent at the corresponding point. The angle Ang is given in radians. This function returns the chamfer and builds the resulting face. Warning The status of the construction, as given by the Status function, can be one of the following: - ChFi2d_IsDone if the chamfer is built, - ChFi2d_ParametersError if D1, D2, D or Ang is less than or equal to zero, - ChFi2d_ConnexionError if: - the edge E, E1 or E2 does not belong to the initial face, or - the edges E1 and E2 are not adjacent, or - the vertex V is not one of the limit points of the edge E, - ChFi2d_ComputationError if the parameters of the chamfer are too large to build a chamfer between the two adjacent edges, - ChFi2d_NotAuthorized if: - the edge E1, E2 or one of the two edges connected to V is a fillet or chamfer, or - a curve other than a straight line or an arc of a circle is used as E, E1 or E2. Do not use the returned chamfer if the status of the construction is not ChFi2d_IsDone.
:param E:
:type E: TopoDS_Edge &
:param V:
:type V: TopoDS_Vertex &
:param D:
:type D: float
:param Ang:
:type Ang: float
:rtype: TopoDS_Edge
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_AddChamfer(self, *args)
def ModifyChamfer(self, *args):
"""
* Modifies the chamfer Chamfer on the face modified by this algorithm, where: E1 and E2 are the two adjacent edges on which Chamfer is already built; the extremities of the new chamfer are on E1 and E2 at distances D1 and D2 respectively.
:param Chamfer:
:type Chamfer: TopoDS_Edge &
:param E1:
:type E1: TopoDS_Edge &
:param E2:
:type E2: TopoDS_Edge &
:param D1:
:type D1: float
:param D2:
:type D2: float
:rtype: TopoDS_Edge
* Modifies the chamfer Chamfer on the face modified by this algorithm, where: E is one of the two adjacent edges on which Chamfer is already built; the new chamfer makes an angle Ang with E and one of its extremities is on E at distance D from the vertex on which the chamfer is built. In cases where the edges are not rectilinear, the distances are measured using the curvilinear abscissa of the edges and the angle is measured with respect to the tangent at the corresponding point. The angle Ang is given in radians. This function returns the new chamfer and modifies the existing face. Warning The status of the construction, as given by the Status function, can be one of the following: - ChFi2d_IsDone if the chamfer is built, - ChFi2d_ParametersError if D1, D2, D or Ang is less than or equal to zero, - ChFi2d_ConnexionError if: - the edge E, E1, E2 or Chamfer does not belong to the existing face, or - the edges E1 and E2 are not adjacent, - ChFi2d_ComputationError if the parameters of the chamfer are too large to build a chamfer between the two adjacent edges, - ChFi2d_NotAuthorized if E1 or E2 is a fillet or chamfer. Do not use the returned chamfer if the status of the construction is not ChFi2d_IsDone.
:param Chamfer:
:type Chamfer: TopoDS_Edge &
:param E:
:type E: TopoDS_Edge &
:param D:
:type D: float
:param Ang:
:type Ang: float
:rtype: TopoDS_Edge
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_ModifyChamfer(self, *args)
def RemoveChamfer(self, *args):
"""
* Removes the chamfer Chamfer already built on the face modified by this algorithm. This function returns the vertex connecting the two adjacent edges of Chamfer and modifies the existing face. Warning - The returned vertex is only valid if the Status function returns ChFi2d_IsDone. - A null vertex is returned if the edge Chamfer does not belong to the initial face.
:param Chamfer:
:type Chamfer: TopoDS_Edge &
:rtype: TopoDS_Vertex
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_RemoveChamfer(self, *args)
def IsModified(self, *args):
"""
* Returns true if the edge E on the face modified by this algorithm is chamfered or filleted. Warning Returns false if E does not belong to the face modified by this algorithm.
:param E:
:type E: TopoDS_Edge &
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_IsModified(self, *args)
def FilletEdges(self, *args):
"""
* Returns the table of fillets on the face modified by this algorithm.
:rtype: TopTools_SequenceOfShape
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_FilletEdges(self, *args)
def NbFillet(self, *args):
"""
* Returns the number of fillets on the face modified by this algorithm.
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NbFillet(self, *args)
def ChamferEdges(self, *args):
"""
* Returns the table of chamfers on the face modified by this algorithm.
:rtype: TopTools_SequenceOfShape
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_ChamferEdges(self, *args)
def NbChamfer(self, *args):
"""
* Returns the number of chamfers on the face modified by this algorithm.
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NbChamfer(self, *args)
def NbCurves(self, *args):
"""
* returns the number of new curves after the shape creation.
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NbCurves(self, *args)
def NewEdges(self, *args):
"""
* Return the Edges created for curve I.
:param I:
:type I: int
:rtype: TopTools_ListOfShape
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NewEdges(self, *args)
def HasDescendant(self, *args):
"""
:param E:
:type E: TopoDS_Edge &
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_HasDescendant(self, *args)
def DescendantEdge(self, *args):
"""
* Returns the chamfered or filleted edge built from the edge E on the face modified by this algorithm. If E has not been modified, this function returns E. Exceptions Standard_NoSuchObject if the edge E does not belong to the initial face.
:param E:
:type E: TopoDS_Edge &
:rtype: TopoDS_Edge
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_DescendantEdge(self, *args)
def BasisEdge(self, *args):
"""
* Returns the basis edge on the face modified by this algorithm from which the chamfered or filleted edge E is built. If E has not been modified, this function returns E. Warning E is returned if it does not belong to the initial face.
:param E:
:type E: TopoDS_Edge &
:rtype: TopoDS_Edge
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_BasisEdge(self, *args)
def Status(self, *args):
"""
:rtype: ChFi2d_ConstructionError
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_Status(self, *args)
def __del__(self):
try:
self.thisown = False
GarbageCollector.garbage.collect_object(self)
except:
pass
BRepFilletAPI_MakeFillet2d.Init = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_Init,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.AddFillet = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_AddFillet,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.ModifyFillet = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_ModifyFillet,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.RemoveFillet = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_RemoveFillet,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.AddChamfer = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_AddChamfer,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.ModifyChamfer = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_ModifyChamfer,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.RemoveChamfer = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_RemoveChamfer,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.IsModified = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_IsModified,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.FilletEdges = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_FilletEdges,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.NbFillet = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NbFillet,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.ChamferEdges = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_ChamferEdges,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.NbChamfer = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NbChamfer,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.NbCurves = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NbCurves,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.NewEdges = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_NewEdges,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.HasDescendant = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_HasDescendant,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.DescendantEdge = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_DescendantEdge,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.BasisEdge = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_BasisEdge,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d.Status = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d_Status,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d._kill_pointed = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet2d__kill_pointed,None,BRepFilletAPI_MakeFillet2d)
BRepFilletAPI_MakeFillet2d_swigregister = _BRepFilletAPI.BRepFilletAPI_MakeFillet2d_swigregister
BRepFilletAPI_MakeFillet2d_swigregister(BRepFilletAPI_MakeFillet2d)
class BRepFilletAPI_MakeChamfer(BRepFilletAPI_LocalOperation):
thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
__repr__ = _swig_repr
def __init__(self, *args):
"""
* Initializes an algorithm for computing chamfers on the shape S. The edges on which chamfers are built are defined using the Add function.
:param S:
:type S: TopoDS_Shape &
:rtype: None
"""
_BRepFilletAPI.BRepFilletAPI_MakeChamfer_swiginit(self,_BRepFilletAPI.new_BRepFilletAPI_MakeChamfer(*args))
def SetDist(self, *args):
"""
* Sets the distances Dis1 and Dis2 which give the parameters of the chamfer along the contour of index IC generated using the Add function in the internal data structure of this algorithm. The face F identifies the side where Dis1 is measured. Warning Nothing is done if either the edge E or the face F does not belong to the initial shape.
:param Dis:
:type Dis: float
:param IC:
:type IC: int
:param F:
:type F: TopoDS_Face &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_SetDist(self, *args)
def GetDist(self, *args):
"""
:param IC:
:type IC: int
:param Dis:
:type Dis: float &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_GetDist(self, *args)
def Add(self, *args):
"""
* Adds edge E to the table of edges used by this algorithm to build chamfers, where the parameters of the chamfer must be set after the
:param E:
:type E: TopoDS_Edge &
:rtype: None
* Adds edge E to the table of edges used by this algorithm to build chamfers, where the parameters of the chamfer are given by the two distances Dis1 and Dis2; the face F identifies the side where Dis1 is measured. The Add function results in a contour being built by propagation from the edge E (i.e. the contour contains at least this edge). This contour is composed of edges of the shape which are tangential to one another and which delimit two series of tangential faces, with one series of faces being located on either side of the contour. Warning Nothing is done if edge E or the face F does not belong to the initial shape.
:param Dis:
:type Dis: float
:param E:
:type E: TopoDS_Edge &
:param F:
:type F: TopoDS_Face &
:rtype: None
* Adds a fillet contour in the builder (builds a contour of tangent edges to <E> and sets the two distances <Dis1> and <Dis2> ( parameters of the chamfer ) ).
:param Dis1:
:type Dis1: float
:param Dis2:
:type Dis2: float
:param E:
:type E: TopoDS_Edge &
:param F:
:type F: TopoDS_Face &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_Add(self, *args)
def SetDists(self, *args):
"""
* Sets the distances Dis1 and Dis2 which give the parameters of the chamfer along the contour of index IC generated using the Add function in the internal data structure of this algorithm. The face F identifies the side where Dis1 is measured. Warning Nothing is done if either the edge E or the face F does not belong to the initial shape.
:param Dis1:
:type Dis1: float
:param Dis2:
:type Dis2: float
:param IC:
:type IC: int
:param F:
:type F: TopoDS_Face &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_SetDists(self, *args)
def Dists(self, *args):
"""
* Returns the distances Dis1 and Dis2 which give the parameters of the chamfer along the contour of index IC in the internal data structure of this algorithm. Warning -1. is returned if IC is outside the bounds of the table of contours.
:param IC:
:type IC: int
:param Dis1:
:type Dis1: float &
:param Dis2:
:type Dis2: float &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_Dists(self, *args)
def AddDA(self, *args):
"""
* Adds a fillet contour in the builder (builds a contour of tangent edges to <E> and sets the distance <Dis1> and angle <Angle> ( parameters of the chamfer ) ).
:param Dis:
:type Dis: float
:param Angle:
:type Angle: float
:param E:
:type E: TopoDS_Edge &
:param F:
:type F: TopoDS_Face &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_AddDA(self, *args)
def SetDistAngle(self, *args):
"""
* set the distance <Dis> and <Angle> of the fillet contour of index <IC> in the DS with <Dis> on <F>. if the face <F> is not one of common faces of an edge of the contour <IC>
:param Dis:
:type Dis: float
:param Angle:
:type Angle: float
:param IC:
:type IC: int
:param F:
:type F: TopoDS_Face &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_SetDistAngle(self, *args)
def GetDistAngle(self, *args):
"""
* gives the distances <Dis> and <Angle> of the fillet contour of index <IC> in the DS
:param IC:
:type IC: int
:param Dis:
:type Dis: float &
:param Angle:
:type Angle: float &
:param DisOnFace1:
:type DisOnFace1: bool
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_GetDistAngle(self, *args)
def IsSymetric(self, *args):
"""
* return True if chamfer symetric false else.
:param IC:
:type IC: int
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_IsSymetric(self, *args)
def IsTwoDistances(self, *args):
"""
* return True if chamfer is made with two distances false else.
:param IC:
:type IC: int
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_IsTwoDistances(self, *args)
def IsDistanceAngle(self, *args):
"""
* return True if chamfer is made with distance and angle false else.
:param IC:
:type IC: int
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_IsDistanceAngle(self, *args)
def Builder(self, *args):
"""
* Returns the internal filleting algorithm.
:rtype: Handle_TopOpeBRepBuild_HBuilder
"""
return _BRepFilletAPI.BRepFilletAPI_MakeChamfer_Builder(self, *args)
def __del__(self):
try:
self.thisown = False
GarbageCollector.garbage.collect_object(self)
except:
pass
BRepFilletAPI_MakeChamfer.SetDist = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_SetDist,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.GetDist = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_GetDist,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.Add = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_Add,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.SetDists = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_SetDists,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.Dists = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_Dists,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.AddDA = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_AddDA,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.SetDistAngle = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_SetDistAngle,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.GetDistAngle = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_GetDistAngle,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.IsSymetric = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_IsSymetric,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.IsTwoDistances = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_IsTwoDistances,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.IsDistanceAngle = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_IsDistanceAngle,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer.Builder = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer_Builder,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer._kill_pointed = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeChamfer__kill_pointed,None,BRepFilletAPI_MakeChamfer)
BRepFilletAPI_MakeChamfer_swigregister = _BRepFilletAPI.BRepFilletAPI_MakeChamfer_swigregister
BRepFilletAPI_MakeChamfer_swigregister(BRepFilletAPI_MakeChamfer)
class BRepFilletAPI_MakeFillet(BRepFilletAPI_LocalOperation):
thisown = _swig_property(lambda x: x.this.own(), lambda x, v: x.this.own(v), doc='The membership flag')
__repr__ = _swig_repr
def __init__(self, *args):
"""
* Initializes the computation of the fillets. <FShape> sets the type of fillet surface. The default value is ChFi3d_Rational (classical nurbs representation of circles). ChFi3d_QuasiAngular corresponds to a nurbs representation of circles which parameterisation matches the circle one. ChFi3d_Polynomial corresponds to a polynomial representation of circles.
:param S:
:type S: TopoDS_Shape &
:param FShape: default value is ChFi3d_Rational
:type FShape: ChFi3d_FilletShape
:rtype: None
"""
_BRepFilletAPI.BRepFilletAPI_MakeFillet_swiginit(self,_BRepFilletAPI.new_BRepFilletAPI_MakeFillet(*args))
def SetParams(self, *args):
"""
:param Tang:
:type Tang: float
:param Tesp:
:type Tesp: float
:param T2d:
:type T2d: float
:param TApp3d:
:type TApp3d: float
:param TolApp2d:
:type TolApp2d: float
:param Fleche:
:type Fleche: float
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_SetParams(self, *args)
def SetContinuity(self, *args):
"""
* Changes the parameters of continiuity InternalContinuity to produce fillet'surfaces with an continuity Ci (i=0,1 or 2). By defaultInternalContinuity = GeomAbs_C1. AngularTolerance is the G1 tolerance between fillet and support'faces.
:param InternalContinuity:
:type InternalContinuity: GeomAbs_Shape
:param AngularTolerance:
:type AngularTolerance: float
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_SetContinuity(self, *args)
def Add(self, *args):
"""
* Adds a fillet contour in the builder (builds a contour of tangent edges). The Radius must be set after.
:param E:
:type E: TopoDS_Edge &
:rtype: None
* Adds a fillet description in the builder - builds a contour of tangent edges, - sets the radius.
:param Radius:
:type Radius: float
:param E:
:type E: TopoDS_Edge &
:rtype: None
* Adds a fillet description in the builder - builds a contour of tangent edges, - sets a linear radius evolution law between the first and last vertex of the spine.
:param R1:
:type R1: float
:param R2:
:type R2: float
:param E:
:type E: TopoDS_Edge &
:rtype: None
* Adds a fillet description in the builder - builds a contour of tangent edges, - sest the radius evolution law.
:param L:
:type L: Handle_Law_Function &
:param E:
:type E: TopoDS_Edge &
:rtype: None
* Adds a fillet description in the builder - builds a contour of tangent edges, - sets the radius evolution law interpolating the values given in the array UandR : p2d.X() = relative parameter on the spine [0,1] p2d.Y() = value of the radius.
:param UandR:
:type UandR: TColgp_Array1OfPnt2d
:param E:
:type E: TopoDS_Edge &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_Add(self, *args)
def IsConstant(self, *args):
"""
* Returns true if the radius of the fillet along the contour of index IC in the internal data structure of this algorithm is constant, Warning False is returned if IC is outside the bounds of the table of contours or if E does not belong to the contour of index IC.
:param IC:
:type IC: int
:rtype: bool
* Returns true if the radius of the fillet along the edge E of the contour of index IC in the internal data structure of this algorithm is constant. Warning False is returned if IC is outside the bounds of the table of contours or if E does not belong to the contour of index IC.
:param IC:
:type IC: int
:param E:
:type E: TopoDS_Edge &
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_IsConstant(self, *args)
def Radius(self, *args):
"""
* Returns the radius of the fillet along the contour of index IC in the internal data structure of this algorithm Warning - Use this function only if the radius is constant. - -1. is returned if IC is outside the bounds of the table of contours or if E does not belong to the contour of index IC.
:param IC:
:type IC: int
:rtype: float
* Returns the radius of the fillet along the edge E of the contour of index IC in the internal data structure of this algorithm. Warning - Use this function only if the radius is constant. - -1 is returned if IC is outside the bounds of the table of contours or if E does not belong to the contour of index IC.
:param IC:
:type IC: int
:param E:
:type E: TopoDS_Edge &
:rtype: float
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_Radius(self, *args)
def SetRadius(self, *args):
"""
* Sets the parameters of the fillet along the contour of index IC generated using the Add function in the internal data structure of this algorithm, where Radius is the radius of the fillet.
:param Radius:
:type Radius: float
:param IC:
:type IC: int
:param IinC:
:type IinC: int
:rtype: None
* Sets the parameters of the fillet along the contour of index IC generated using the Add function in the internal data structure of this algorithm, where the radius of the fillet evolves according to a linear evolution law defined from R1 to R2, between the first and last vertices of the contour of index IC.
:param R1:
:type R1: float
:param R2:
:type R2: float
:param IC:
:type IC: int
:param IinC:
:type IinC: int
:rtype: None
* Sets the parameters of the fillet along the contour of index IC generated using the Add function in the internal data structure of this algorithm, where the radius of the fillet evolves according to the evolution law L, between the first and last vertices of the contour of index IC.
:param L:
:type L: Handle_Law_Function &
:param IC:
:type IC: int
:param IinC:
:type IinC: int
:rtype: None
* Sets the parameters of the fillet along the contour of index IC generated using the Add function in the internal data structure of this algorithm, where the radius of the fillet evolves according to the evolution law which interpolates the set of parameter and radius pairs given in the array UandR as follows: - the X coordinate of a point in UandR defines a relative parameter on the contour (i.e. a parameter between 0 and 1), - the Y coordinate of a point in UandR gives the corresponding value of the radius, and the radius evolves between the first and last vertices of the contour of index IC.
:param UandR:
:type UandR: TColgp_Array1OfPnt2d
:param IC:
:type IC: int
:param IinC:
:type IinC: int
:rtype: None
* Assigns Radius as the radius of the fillet on the edge E
:param Radius:
:type Radius: float
:param IC:
:type IC: int
:param E:
:type E: TopoDS_Edge &
:rtype: None
:param Radius:
:type Radius: float
:param IC:
:type IC: int
:param V:
:type V: TopoDS_Vertex &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_SetRadius(self, *args)
def GetBounds(self, *args):
"""
:param IC:
:type IC: int
:param E:
:type E: TopoDS_Edge &
:param F:
:type F: float &
:param L:
:type L: float &
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_GetBounds(self, *args)
def GetLaw(self, *args):
"""
:param IC:
:type IC: int
:param E:
:type E: TopoDS_Edge &
:rtype: Handle_Law_Function
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_GetLaw(self, *args)
def SetLaw(self, *args):
"""
:param IC:
:type IC: int
:param E:
:type E: TopoDS_Edge &
:param L:
:type L: Handle_Law_Function &
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_SetLaw(self, *args)
def SetFilletShape(self, *args):
"""
* Assigns FShape as the type of fillet shape built by this algorithm.
:param FShape:
:type FShape: ChFi3d_FilletShape
:rtype: None
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_SetFilletShape(self, *args)
def GetFilletShape(self, *args):
"""
* Returns the type of fillet shape built by this algorithm.
:rtype: ChFi3d_FilletShape
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_GetFilletShape(self, *args)
def Builder(self, *args):
"""
* Returns the internal topology building algorithm.
:rtype: Handle_TopOpeBRepBuild_HBuilder
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_Builder(self, *args)
def NbSurfaces(self, *args):
"""
* returns the number of surfaces after the shape creation.
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_NbSurfaces(self, *args)
def NewFaces(self, *args):
"""
* Return the faces created for surface <I>.
:param I:
:type I: int
:rtype: TopTools_ListOfShape
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_NewFaces(self, *args)
def NbFaultyContours(self, *args):
"""
* Returns the number of contours where the computation of the fillet failed
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_NbFaultyContours(self, *args)
def FaultyContour(self, *args):
"""
* for each I in [1.. NbFaultyContours] returns the index IC of the contour where the computation of the fillet failed. the method NbEdges(IC) gives the number of edges in the contour IC the method Edge(IC,ie) gives the edge number ie of the contour IC
:param I:
:type I: int
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_FaultyContour(self, *args)
def NbComputedSurfaces(self, *args):
"""
* returns the number of surfaces which have been computed on the contour IC
:param IC:
:type IC: int
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_NbComputedSurfaces(self, *args)
def ComputedSurface(self, *args):
"""
* returns the surface number IS concerning the contour IC
:param IC:
:type IC: int
:param IS:
:type IS: int
:rtype: Handle_Geom_Surface
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_ComputedSurface(self, *args)
def NbFaultyVertices(self, *args):
"""
* returns the number of vertices where the computation failed
:rtype: int
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_NbFaultyVertices(self, *args)
def FaultyVertex(self, *args):
"""
* returns the vertex where the computation failed
:param IV:
:type IV: int
:rtype: TopoDS_Vertex
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_FaultyVertex(self, *args)
def HasResult(self, *args):
"""
* returns true if a part of the result has been computed if the filling in a corner failed a shape with a hole is returned
:rtype: bool
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_HasResult(self, *args)
def BadShape(self, *args):
"""
* if (HasResult()) returns the partial result
:rtype: TopoDS_Shape
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_BadShape(self, *args)
def StripeStatus(self, *args):
"""
* returns the status concerning the contour IC in case of error ChFiDS_Ok : the computation is Ok ChFiDS_StartsolFailure : the computation can't start, perhaps the the radius is too big ChFiDS_TwistedSurface : the computation failed because of a twisted surface ChFiDS_WalkingFailure : there is a problem in the walking ChFiDS_Error: other error different from above
:param IC:
:type IC: int
:rtype: ChFiDS_ErrorStatus
"""
return _BRepFilletAPI.BRepFilletAPI_MakeFillet_StripeStatus(self, *args)
def __del__(self):
try:
self.thisown = False
GarbageCollector.garbage.collect_object(self)
except:
pass
BRepFilletAPI_MakeFillet.SetParams = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_SetParams,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.SetContinuity = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_SetContinuity,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.Add = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_Add,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.IsConstant = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_IsConstant,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.Radius = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_Radius,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.SetRadius = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_SetRadius,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.GetBounds = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_GetBounds,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.GetLaw = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_GetLaw,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.SetLaw = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_SetLaw,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.SetFilletShape = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_SetFilletShape,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.GetFilletShape = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_GetFilletShape,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.Builder = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_Builder,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.NbSurfaces = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_NbSurfaces,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.NewFaces = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_NewFaces,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.NbFaultyContours = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_NbFaultyContours,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.FaultyContour = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_FaultyContour,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.NbComputedSurfaces = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_NbComputedSurfaces,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.ComputedSurface = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_ComputedSurface,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.NbFaultyVertices = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_NbFaultyVertices,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.FaultyVertex = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_FaultyVertex,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.HasResult = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_HasResult,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.BadShape = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_BadShape,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet.StripeStatus = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet_StripeStatus,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet._kill_pointed = new_instancemethod(_BRepFilletAPI.BRepFilletAPI_MakeFillet__kill_pointed,None,BRepFilletAPI_MakeFillet)
BRepFilletAPI_MakeFillet_swigregister = _BRepFilletAPI.BRepFilletAPI_MakeFillet_swigregister
BRepFilletAPI_MakeFillet_swigregister(BRepFilletAPI_MakeFillet)
| 43.027607
| 1,355
| 0.718757
| 6,651
| 56,108
| 5.886784
| 0.083747
| 0.101601
| 0.069726
| 0.082369
| 0.696677
| 0.466631
| 0.422879
| 0.392486
| 0.376829
| 0.360228
| 0
| 0.005886
| 0.215709
| 56,108
| 1,303
| 1,356
| 43.060629
| 0.883854
| 0.420225
| 0
| 0.144254
| 1
| 0
| 0.011281
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.215159
| false
| 0.01467
| 0.146699
| 0.00489
| 0.591687
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
bda4a73fd0a616c97c27554193c8baec651c7349
| 145
|
py
|
Python
|
eecr/__init__.py
|
VitoJanko/Energy-Efficient-Context-Recognition
|
51f0918987d8f357340a0762c0527ae38d966c58
|
[
"MIT"
] | null | null | null |
eecr/__init__.py
|
VitoJanko/Energy-Efficient-Context-Recognition
|
51f0918987d8f357340a0762c0527ae38d966c58
|
[
"MIT"
] | null | null | null |
eecr/__init__.py
|
VitoJanko/Energy-Efficient-Context-Recognition
|
51f0918987d8f357340a0762c0527ae38d966c58
|
[
"MIT"
] | null | null | null |
from eecr.cstree import CostSensitiveTree
from eecr.eeoptimizer import EnergyOptimizer
#from eecr.Datasets import SHL_data
#import eecr.eeutility
| 36.25
| 44
| 0.868966
| 19
| 145
| 6.578947
| 0.578947
| 0.192
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.089655
| 145
| 4
| 45
| 36.25
| 0.94697
| 0.37931
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
da0be4f7d28af0fc17a8647f2c5e38192bbe4dfc
| 245
|
py
|
Python
|
mmdet3d/models/roi_heads/roi_extractors/__init__.py
|
Guangyun-Xu/mmdetection3d
|
75c5c6cd590386bd1539a686c5fd2cc45c5480d5
|
[
"Apache-2.0"
] | 2,216
|
2020-07-09T19:10:11.000Z
|
2022-03-31T12:39:26.000Z
|
mmdet3d/models/roi_heads/roi_extractors/__init__.py
|
Guangyun-Xu/mmdetection3d
|
75c5c6cd590386bd1539a686c5fd2cc45c5480d5
|
[
"Apache-2.0"
] | 1,174
|
2020-07-10T07:02:28.000Z
|
2022-03-31T12:38:56.000Z
|
mmdet3d/models/roi_heads/roi_extractors/__init__.py
|
Guangyun-Xu/mmdetection3d
|
75c5c6cd590386bd1539a686c5fd2cc45c5480d5
|
[
"Apache-2.0"
] | 681
|
2020-07-09T19:40:06.000Z
|
2022-03-31T11:02:24.000Z
|
# Copyright (c) OpenMMLab. All rights reserved.
from mmdet.models.roi_heads.roi_extractors import SingleRoIExtractor
from .single_roiaware_extractor import Single3DRoIAwareExtractor
__all__ = ['SingleRoIExtractor', 'Single3DRoIAwareExtractor']
| 40.833333
| 68
| 0.84898
| 24
| 245
| 8.333333
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008889
| 0.081633
| 245
| 5
| 69
| 49
| 0.88
| 0.183673
| 0
| 0
| 0
| 0
| 0.217172
| 0.126263
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
da3405adb4a928fe373c30c80e0975cf0869614c
| 328
|
py
|
Python
|
src/python/packages/amwg/derivations/__init__.py
|
UV-CDAT/uvcmetrics
|
b29ac2b2698ba09061e3ca7b115abf3e114324e2
|
[
"BSD-3-Clause"
] | 3
|
2017-03-03T21:28:06.000Z
|
2017-05-23T02:03:22.000Z
|
src/python/packages/amwg/derivations/__init__.py
|
CDAT/uvcmetrics
|
b29ac2b2698ba09061e3ca7b115abf3e114324e2
|
[
"BSD-3-Clause"
] | 192
|
2015-01-05T19:39:56.000Z
|
2017-01-17T22:28:34.000Z
|
src/python/packages/amwg/derivations/__init__.py
|
UV-CDAT/uvcmetrics
|
b29ac2b2698ba09061e3ca7b115abf3e114324e2
|
[
"BSD-3-Clause"
] | 6
|
2016-02-26T19:03:46.000Z
|
2017-07-12T16:55:33.000Z
|
from oaht import *
from ncl_isms import *
from package_version import *
from atmconst import *
from is_numeric_float import *
from press2alt import *
from vertical import *
from masks import *
from set13 import *
from simple_vars import *
from clouds import *
from heat import *
from WC_diag_amwg import *
import WC_diag_amwg
| 19.294118
| 30
| 0.789634
| 50
| 328
| 5
| 0.44
| 0.48
| 0.08
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.011029
| 0.170732
| 328
| 16
| 31
| 20.5
| 0.908088
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
da8f7945e1dfec73b55e41a8eb12ecdcf38b9dfe
| 163
|
py
|
Python
|
pythonsolutions/math_and_logic_puzzles/test/test_the_heavy_pill.py
|
danong/ctci-6th-solutions
|
70034793895864bab0737a0c1eee0a9ea35ed26f
|
[
"MIT"
] | null | null | null |
pythonsolutions/math_and_logic_puzzles/test/test_the_heavy_pill.py
|
danong/ctci-6th-solutions
|
70034793895864bab0737a0c1eee0a9ea35ed26f
|
[
"MIT"
] | null | null | null |
pythonsolutions/math_and_logic_puzzles/test/test_the_heavy_pill.py
|
danong/ctci-6th-solutions
|
70034793895864bab0737a0c1eee0a9ea35ed26f
|
[
"MIT"
] | null | null | null |
import unittest
from ..the_heavy_pill import bottle_id
class Test(unittest.TestCase):
def test_basic(self):
self.assertEqual(bottle_id(211.3), 13)
| 16.3
| 46
| 0.730061
| 24
| 163
| 4.75
| 0.75
| 0.140351
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044444
| 0.171779
| 163
| 9
| 47
| 18.111111
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
e50581f4cad3e7e35c51e46cd30aa82d3f8b6bf0
| 193
|
py
|
Python
|
version_checker/settings.py
|
jalvaradosegura/version-checker
|
69e5551662c880ebf2f0b1e067bd37608a7eaf3a
|
[
"MIT"
] | 1
|
2022-02-02T15:10:30.000Z
|
2022-02-02T15:10:30.000Z
|
version_checker/settings.py
|
jalvaradosegura/version-checker
|
69e5551662c880ebf2f0b1e067bd37608a7eaf3a
|
[
"MIT"
] | null | null | null |
version_checker/settings.py
|
jalvaradosegura/version-checker
|
69e5551662c880ebf2f0b1e067bd37608a7eaf3a
|
[
"MIT"
] | null | null | null |
import sys
if sys.version_info < (3, 8): # pragma: no cover
from typing_extensions import Final
else:
from typing import Final
DEFAULT_FILE_TO_GRAB_VERSION: Final = "pyproject.toml"
| 21.444444
| 54
| 0.746114
| 29
| 193
| 4.758621
| 0.724138
| 0.144928
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.012658
| 0.181347
| 193
| 8
| 55
| 24.125
| 0.860759
| 0.082902
| 0
| 0
| 0
| 0
| 0.08
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
e55a2b1b10724a3069b9143dedcb02e3fa967922
| 461
|
py
|
Python
|
tests/unit/containers/test_types_py36.py
|
whysage/python-dependency-injector
|
cef6d35cfdf5f39438a89f000d11a21860bc8c5f
|
[
"BSD-3-Clause"
] | 1,997
|
2016-04-26T13:41:45.000Z
|
2022-03-31T16:17:53.000Z
|
tests/unit/containers/test_types_py36.py
|
whysage/python-dependency-injector
|
cef6d35cfdf5f39438a89f000d11a21860bc8c5f
|
[
"BSD-3-Clause"
] | 399
|
2016-05-16T07:20:07.000Z
|
2022-03-31T18:23:49.000Z
|
tests/unit/containers/test_types_py36.py
|
whysage/python-dependency-injector
|
cef6d35cfdf5f39438a89f000d11a21860bc8c5f
|
[
"BSD-3-Clause"
] | 162
|
2016-05-16T09:21:43.000Z
|
2022-03-30T23:00:26.000Z
|
import unittest
from dependency_injector import containers
class SomeClass:
...
class TypesTest(unittest.TestCase):
def test_declarative(self):
container: containers.Container = containers.DeclarativeContainer()
self.assertIsInstance(container, containers.Container)
def test_dynamic(self):
container: containers.Container = containers.DynamicContainer()
self.assertIsInstance(container, containers.Container)
| 24.263158
| 75
| 0.752711
| 41
| 461
| 8.390244
| 0.463415
| 0.331395
| 0.325581
| 0.186047
| 0.523256
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169197
| 461
| 18
| 76
| 25.611111
| 0.898172
| 0
| 0
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 1
| 0.181818
| false
| 0
| 0.181818
| 0
| 0.545455
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
e55d7e9f290c505862c8d413f92e7de001f6fa0d
| 32
|
py
|
Python
|
codestar_tests.py
|
codelucas/codestar
|
e6c3e31458da639097829b3abbc15c6df793ff20
|
[
"Apache-2.0"
] | 2
|
2021-11-07T12:52:46.000Z
|
2021-11-14T17:20:26.000Z
|
codestar_tests.py
|
codelucas/codestar
|
e6c3e31458da639097829b3abbc15c6df793ff20
|
[
"Apache-2.0"
] | null | null | null |
codestar_tests.py
|
codelucas/codestar
|
e6c3e31458da639097829b3abbc15c6df793ff20
|
[
"Apache-2.0"
] | null | null | null |
"""
Test driven dev! :D
"""
| 8
| 23
| 0.4375
| 4
| 32
| 3.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.3125
| 32
| 3
| 24
| 10.666667
| 0.636364
| 0.59375
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e565f151cdc9e6bd9b846828fde05c90043d2947
| 78
|
py
|
Python
|
mlsurvey/exceptions/model_error.py
|
jlaumonier/mlsurvey
|
373598d067c7f0930ba13fe8da9756ce26eecbaf
|
[
"MIT"
] | null | null | null |
mlsurvey/exceptions/model_error.py
|
jlaumonier/mlsurvey
|
373598d067c7f0930ba13fe8da9756ce26eecbaf
|
[
"MIT"
] | null | null | null |
mlsurvey/exceptions/model_error.py
|
jlaumonier/mlsurvey
|
373598d067c7f0930ba13fe8da9756ce26eecbaf
|
[
"MIT"
] | null | null | null |
class ModelError(Exception):
"""
Errors about Models
"""
pass
| 13
| 28
| 0.576923
| 7
| 78
| 6.428571
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.307692
| 78
| 5
| 29
| 15.6
| 0.833333
| 0.24359
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e579bfe411426c396dd68ba2f97f7f96be161c14
| 188
|
py
|
Python
|
ddq_1/fol/inference.py
|
jadnohra/connect
|
8eb21e6f122898094447bc3d5edb3053d5a2adf2
|
[
"Unlicense"
] | null | null | null |
ddq_1/fol/inference.py
|
jadnohra/connect
|
8eb21e6f122898094447bc3d5edb3053d5a2adf2
|
[
"Unlicense"
] | 6
|
2021-03-19T12:06:56.000Z
|
2022-03-12T00:23:09.000Z
|
ddq_1/fol/inference.py
|
jadnohra/connect
|
8eb21e6f122898094447bc3d5edb3053d5a2adf2
|
[
"Unlicense"
] | null | null | null |
from typing import List
from .lang import Wff
class Inference:
def short_name(self):
pass
def possible_inferences(self, permisses: List[Wff]) -> List[Wff]:
pass
| 17.090909
| 69
| 0.664894
| 25
| 188
| 4.92
| 0.64
| 0.113821
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 188
| 10
| 70
| 18.8
| 0.87234
| 0
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.285714
| 0.285714
| 0
| 0.714286
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 4
|
e59aaa18f649e3c18528233576b5bda62be9f511
| 179
|
py
|
Python
|
slack_rtm_bot/handlers/ping.py
|
nkouevda/slack-rtm-bot
|
e92ac8f73b561d5d39bc06b0858563ae41b3be5c
|
[
"MIT"
] | null | null | null |
slack_rtm_bot/handlers/ping.py
|
nkouevda/slack-rtm-bot
|
e92ac8f73b561d5d39bc06b0858563ae41b3be5c
|
[
"MIT"
] | null | null | null |
slack_rtm_bot/handlers/ping.py
|
nkouevda/slack-rtm-bot
|
e92ac8f73b561d5d39bc06b0858563ae41b3be5c
|
[
"MIT"
] | 1
|
2015-08-07T20:59:02.000Z
|
2015-08-07T20:59:02.000Z
|
from .base import MessageHandler
class PingHandler(MessageHandler):
TRIGGERS = ['ping']
HELP = 'pong'
def handle_message(self, event, triggers, query):
return 'pong'
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0
| 4
|
e5c8d48d1e97dd1be52232a51334eb009fac9187
| 88
|
py
|
Python
|
python_basics/datatypes/dictionary/dict_keys.py
|
danielkpodo/python-zero-to-mastery
|
d39468f48211bc82e4e2613745d9107d433e05af
|
[
"MIT"
] | null | null | null |
python_basics/datatypes/dictionary/dict_keys.py
|
danielkpodo/python-zero-to-mastery
|
d39468f48211bc82e4e2613745d9107d433e05af
|
[
"MIT"
] | null | null | null |
python_basics/datatypes/dictionary/dict_keys.py
|
danielkpodo/python-zero-to-mastery
|
d39468f48211bc82e4e2613745d9107d433e05af
|
[
"MIT"
] | null | null | null |
# A dictionary key mus be unique
# A key must be immutable, thus lists cannot be a key
| 29.333333
| 54
| 0.738636
| 17
| 88
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| 0.647059
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0
| 4
|
e5cf855129af23e3f9db2cb527cbf96440be1f07
| 54,241
|
py
|
Python
|
dictionaries/french.py
|
Guillaume-Docquier/wordle-solver
|
f2c12417f177b560de4a973dea4d3942d05f4b07
|
[
"MIT"
] | null | null | null |
dictionaries/french.py
|
Guillaume-Docquier/wordle-solver
|
f2c12417f177b560de4a973dea4d3942d05f4b07
|
[
"MIT"
] | null | null | null |
dictionaries/french.py
|
Guillaume-Docquier/wordle-solver
|
f2c12417f177b560de4a973dea4d3942d05f4b07
|
[
"MIT"
] | null | null | null |
french_words = ["comme", "cette", "aussi", "autre", "faire", "entre", "temps", "quand", "apres", "leurs", "alors", "moins", "toute", "homme", "elles", "grand", "ainsi", "avoir", "avant", "monde", "notre", "trois", "celui", "celle", "petit", "chose", "porte", "point", "parce", "place", "femme", "enfin", "passe", "corps", "assez", "jours", "donne", "terre", "etais", "mieux", "reste", "forme", "heure", "doute", "effet", "votre", "cours", "saint", "seule", "coeur", "jeune", "mains", "droit", "abord", "amour", "vieux", "peine", "facon", "ordre", "memes", "fille", "suite", "sorte", "aller", "bonne", "ville", "etats", "force", "matin", "voila", "aucun", "table", "parle", "selon", "vingt", "parmi", "pense", "telle", "cause", "ayant", "ecole", "juste", "route", "rouge", "belle", "annee", "objet", "moyen", "train", "etant", "plein", "livre", "grace", "etude", "marie", "pieds", "garde", "blanc", "debut", "bruit", "vivre", "envie", "louis", "image", "piece", "cesse", "salle", "venir", "mille", "sujet", "ombre", "libre", "genre", "paris", "coups", "voulu", "signe", "verre", "parti", "faits", "froid", "quant", "ecrit", "ferme", "outre", "guere", "tenir", "idees", "soeur", "champ", "geste", "ligne", "perdu", "frere", "titre", "large", "eleve", "armee", "haute", "jouer", "voici", "front", "masse", "noire", "assis", "poids", "allez", "tombe", "connu", "scene", "odeur", "terme", "unite", "faite", "desir", "prise", "seuls", "choix", "hotel", "somme", "types", "maman", "sinon", "clair", "serie", "egard", "tirer", "tiens", "calme", "tache", "court", "frais", "cadre", "usage", "armes", "monte", "foret", "duree", "regle", "dents", "cotes", "faute", "hiver", "morts", "pluie", "chien", "coupe", "dites", "foule", "grave", "degre", "forte", "noirs", "comte", "appel", "oncle", "arbre", "ouvre", "glace", "jaune", "sable", "chaud", "boite", "poste", "cents", "chair", "poche", "basse", "vraie", "croix", "texte", "croit", "lutte", "boire", "style", "peche", "merci", "poser", "tante", "vaste", "total", "roman", "aimer", "etres", "herbe", "tente", "vague", "drole", "pages", "morte", "gorge", "danse", "venue", "carte", "leger", "beaux", "fonds", "union", "venus", "sante", "radio", "merde", "rares", "diner", "offre", "salon", "rendu", "toile", "chefs", "ouest", "neige", "lieux", "genie", "honte", "souci", "siege", "salut", "douce", "longs", "doigt", "repas", "trace", "cache", "lever", "crise", "riche", "decor", "etage", "fallu", "angle", "lourd", "aider", "bande", "douze", "suivi", "nulle", "creer", "plans", "russe", "serre", "lampe", "gagne", "joues", "plage", "betes", "jadis", "prete", "finir", "creux", "poete", "nomme", "voies", "nuits", "tetes", "tapis", "lance", "quart", "metal", "exige", "eclat", "vertu", "actes", "jeter", "payer", "arret", "trait", "mince", "prive", "sorti", "reine", "roses", "ondes", "quels", "amene", "songe", "liste", "utile", "fumee", "depit", "heros", "chute", "seuil", "jambe", "repos", "folie", "reves", "plait", "mange", "folle", "casse", "tenue", "sacre", "biens", "acide", "pitie", "avion", "notes", "crane", "tiers", "musee", "huile", "bleue", "usine", "vides", "allee", "fleur", "prevu", "dieux", "grise", "jette", "acces", "drame", "queue", "balle", "vieil", "acier", "egale", "haine", "rayon", "fixes", "sueur", "ecart", "dames", "regne", "zones", "seche", "stade", "bouge", "resta", "agent", "japon", "sucre", "recit", "chant", "servi", "barbe", "tours", "fixer", "admis", "tissu", "voire", "avril", "senti", "photo", "jolie", "perte", "opera", "crime", "roues", "revue", "carre", "quasi", "virus", "helas", "cycle", "appui", "bases", "brise", "ailes", "plume", "ideal", "voile", "seins", "posee", "lueur", "lycee", "lache", "veste", "exces", "remis", "hauts", "crier", "phase", "canal", "ronde", "amant", "barre", "verte", "cesar", "soins", "brule", "linge", "roule", "pente", "situe", "prets", "pomme", "chere", "poing", "juger", "fruit", "nuque", "saute", "vente", "tabac", "enfer", "epais", "foyer", "riant", "echec", "moral", "bains", "bleus", "colle", "refus", "mises", "delai", "mines", "juifs", "noyau", "debat", "guide", "vitre", "adieu", "tendu", "boule", "futur", "trous", "ennui", "oeufs", "mener", "liens", "poeme", "lente", "issue", "fonde", "latin", "biere", "rires", "piste", "culte", "avoue", "fusil", "toits", "sauve", "seize", "aille", "corde", "firme", "marin", "varie", "amuse", "noter", "greve", "vrais", "draps", "hippo", "fuite", "pique", "bords", "major", "brume", "local", "chats", "nerfs", "metro", "royal", "civil", "lecon", "subir", "flics", "meres", "digne", "fosse", "etape", "canon", "citer", "ports", "ecran", "piano", "fetes", "neuve", "sport", "robes", "soirs", "noble", "veuve", "essai", "oubli", "coins", "aimes", "index", "coule", "arabe", "orage", "proie", "soupe", "sonne", "messe", "tiede", "flanc", "taire", "rever", "saisi", "beton", "these", "theme", "verts", "ocean", "ouais", "nuage", "nette", "grain", "poses", "coude", "films", "puits", "paire", "franc", "filet", "ponts", "vichy", "modes", "coton", "maire", "poils", "exact", "reins", "coute", "voute", "vache", "encre", "brune", "siens", "grecs", "peint", "sache", "trucs", "essor", "pouce", "mythe", "indes", "laver", "plats", "idiot", "creme", "lisse", "opere", "plomb", "tasse", "suede", "gosse", "levee", "isole", "raide", "grade", "forts", "juges", "plate", "marge", "canne", "bombe", "neant", "reels", "villa", "breve", "alpes", "ruine", "sales", "gants", "paume", "couts", "demie", "anges", "fixee", "creve", "recul", "conge", "metre", "chine", "tronc", "pompe", "brave", "peres", "borne", "maree", "kilos", "achat", "fines", "atome", "durer", "voler", "globe", "tires", "abime", "deuil", "marre", "motif", "blond", "auras", "ceder", "divin", "depot", "boeuf", "anime", "sourd", "rites", "paroi", "subit", "aimee", "fonce", "actif", "baton", "tubes", "copie", "chene", "races", "genou", "rangs", "cheri", "teint", "piege", "creee", "agite", "rampe", "camps", "magie", "liees", "vents", "bouts", "gouts", "genes", "concu", "roche", "corse", "dormi", "geant", "final", "guise", "bancs", "cafes", "raies", "bible", "roles", "fiche", "chaux", "nappe", "trame", "foutu", "prime", "prier", "quete", "tigre", "ronds", "super", "vives", "seine", "molle", "baron", "lundi", "aigue", "solde", "azote", "battu", "weber", "impot", "verse", "rural", "patte", "jeudi", "buste", "hurle", "islam", "etale", "quais", "frein", "dates", "parts", "crete", "bonte", "sitot", "marne", "ecume", "torse", "finie", "cites", "gamin", "remue", "sieur", "epoux", "gamme", "rides", "talus", "melee", "evite", "stage", "robin", "tests", "faces", "biais", "moine", "chars", "jetee", "outil", "suffi", "serge", "logis", "joies", "filer", "divan", "momes", "range", "meler", "ruban", "joint", "extra", "adore", "wagon", "gauss", "jouir", "tribu", "regis", "vigne", "bilan", "obeir", "levre", "lames", "pacte", "malin", "miens", "vendu", "doree", "recus", "volee", "blocs", "lasse", "crees", "pates", "pires", "tenus", "peser", "jesus", "pince", "clous", "sauce", "noeud", "poule", "selle", "forge", "usure", "loups", "manie", "peril", "ultra", "fumer", "foire", "amies", "mixte", "singe", "rives", "gaffe", "trone", "havre", "couru", "neufs", "chers", "meche", "lapin", "finis", "salue", "fouet", "pneus", "fonte", "juive", "bourg", "fiere", "flots", "pales", "debit", "menee", "brute", "echos", "taper", "poele", "close", "savon", "micro", "avale", "poles", "samba", "noces", "veine", "haies", "autel", "rails", "conte", "aires", "vetue", "morne", "jenny", "rompu", "grele", "aides", "sages", "unies", "caves", "mardi", "meles", "verbe", "diane", "vider", "egare", "alles", "lents", "elite", "dense", "banal", "dures", "belge", "coque", "dalle", "perce", "cruel", "allie", "chocs", "demon", "asile", "bague", "menus", "tiree", "sabre", "deces", "chaos", "baise", "moque", "dunes", "jupes", "peaux", "moule", "aigle", "fatal", "piles", "relie", "voeux", "fauve", "chier", "engin", "perle", "milan", "neveu", "hache", "plaie", "vogue", "clefs", "corne", "valet", "bravo", "codes", "galop", "talon", "habit", "noyer", "halte", "faune", "autos", "curie", "vaine", "damas", "paves", "gifle", "vetus", "moche", "batir", "recue", "senat", "phare", "leves", "cuire", "plier", "fondu", "amere", "mauve", "laine", "tarde", "germe", "avise", "avide", "panne", "jetes", "fente", "tiges", "sceau", "envoi", "balai", "egaux", "bosse", "imite", "vecue", "males", "exclu", "dores", "gilet", "loges", "litre", "feras", "voyou", "treve", "brefs", "repit", "harem", "gomme", "ecrie", "payes", "ovale", "moise", "plane", "album", "ether", "sapin", "fache", "potes", "tuyau", "cogne", "fumes", "bruns", "match", "eveil", "ample", "botte", "doyen", "gener", "rosee", "pures", "gaule", "agace", "menti", "piges", "pieux", "cible", "bebes", "taxes", "choux", "email", "bijou", "goute", "beret", "bidon", "hotes", "turcs", "vital", "taule", "souri", "vases", "houle", "pacha", "clubs", "cuite", "bride", "osier", "tarif", "bille", "pause", "craie", "pelle", "sexes", "bleme", "stock", "larme", "poire", "socio", "prose", "flute", "flore", "piete", "inter", "muets", "doses", "fichu", "accru", "gelee", "etire", "laure", "malle", "peste", "trahi", "clans", "etang", "gares", "naive", "ainee", "loupe", "jules", "semis", "astre", "sonna", "evier", "lande", "farce", "monts", "hoche", "parcs", "dette", "loger", "niece", "colis", "cerne", "mefie", "ongle", "affut", "aigre", "saine", "laide", "ciree", "cures", "percu", "vomir", "cieux", "terne", "doues", "cubes", "jouet", "borde", "hante", "enjeu", "valse", "frise", "liege", "perse", "pisse", "basee", "ronge", "legal", "longe", "aisee", "munis", "ancre", "jolis", "bache", "fusee", "stylo", "punir", "gerbe", "parie", "gueri", "lions", "lilas", "nager", "pendu", "socle", "fibre", "aines", "louer", "tarte", "frele", "soude", "ruses", "garni", "abces", "surgi", "seaux", "ravin", "avare", "fours", "fiers", "delit", "reuni", "golfe", "votes", "epars", "amont", "voter", "rudes", "rejet", "ferry", "nuees", "natal", "digue", "norme", "tonne", "pouls", "puces", "figee", "volet", "avere", "aveux", "satan", "rubis", "crabe", "rival", "etain", "parer", "aigus", "megot", "fable", "berge", "urine", "oxyde", "exode", "files", "moite", "verdi", "porto", "atlas", "saoul", "tordu", "humus", "satin", "brode", "orale", "tempe", "parte", "elans", "nacre", "barbu", "biche", "leche", "duvet", "niche", "hardi", "cadet", "hymne", "jugee", "dotes", "hater", "cases", "baies", "cargo", "chale", "cable", "cloue", "sente", "sirop", "boyau", "orgue", "clerc", "gemir", "nuire", "meure", "blame", "puree", "renee", "ornee", "arche", "cense", "macro", "ligue", "rende", "clown", "bulle", "gache", "jurer", "regie", "eloge", "capot", "butte", "frime", "aptes", "rugby", "olive", "beige", "cages", "rames", "repli", "oasis", "antan", "ambre", "gazon", "noyes", "munie", "nylon", "silex", "mordu", "brins", "macon", "girls", "gains", "decue", "jouee", "maris", "cimes", "batie", "idole", "meute", "pekin", "hutte", "feter", "zanzi", "sauts", "tulle", "envol", "garce", "jures", "pipes", "polie", "inoui", "raser", "errer", "dater", "epris", "pogne", "abris", "gnose", "abuse", "genee", "puise", "rabat", "gaite", "ebene", "arete", "ahuri", "fugue", "crocs", "bonds", "viser", "nouer", "salee", "mufle", "canot", "oscar", "ivres", "proue", "alibi", "colon", "cohue", "caste", "opium", "taxis", "morue", "laque", "bahut", "porcs", "short", "bazar", "crepe", "buter", "radar", "vodka", "berce", "blues", "pairs", "emeut", "tueur", "mater", "dogme", "virer", "polka", "loyer", "toque", "renes", "perir", "sites", "ravie", "dotee", "cygne", "vices", "sympa", "frigo", "egout", "butin", "feint", "menes", "hisse", "bruts", "china", "epees", "visee", "sabot", "meule", "givre", "vante", "noyee", "douee", "conne", "epave", "papes", "sotte", "gaine", "choir", "frole", "vouee", "melon", "plain", "ilots", "piton", "sures", "fesse", "naifs", "figes", "culot", "serve", "dicte", "sobre", "aride", "epine", "rater", "cacha", "menue", "coran", "pliee", "pains", 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"aryen", "fatum", "ratio", "isard", "huche", "douve", "barge", "anche", "vespa", "licol", "licou", "banda", "raout", "basic", "limbe", "blemi", "ficha", "zoner", "syrte", "hatee", "liner", "finns", "helio", "tanka", "ampli", "mataf", "hippy", "merlu", "hevea", "luger", "indic", "grees", "beurk", "zigue", "zaire", "quota", "lyres", "etaux", "coits", "cines", "buees", "sodas", "stucs", "auges", "zizis", "beats", "lotie", "lotis", "loves", "proto", "texan", "alite", "youpi", "sarde", "catho", "tarse", "ptose", "perot", "palot", "motet", "liron", "lacte", "ergot", "bolet", "shunt", "locus", "aster", "puine", "sonar", "bisou", "drill", "bette", "argol", "furet", "menon", "zelee", "ignee", "autan", "feces", "probe", "ahane", "hates", "frete", "fores", "dupee", "muris", "mutes", "axees", "rouer", "leser", "caner", "raper", "douro", "hutin", "huart", "anars", "macha", "goths", "adonc", "tonic", "fouta", "ecolo", "amide", "garum", "sulky", "chiee", "paddy", "giton", "limbo", "muant", "grils", "locos", "exils", "mouts", "orbes", "rings", "bocks", "bomba", "lises", "nages", "taons", "fayot", "toril", "spahi", "quine", "phlox", "pepie", "ilion", "futee", "douar", "debet", "capon", "cabri", "ajonc", "smart", "secco", "gente", "velum", "varia", "fames", "goulu", "brize", "amyle", "links", "panel", "lotos", "coing", "ilote", "mires", "ganse", "erode", "fasce", "madre", "vaque", "laces", "obeie", "glapi", "casee", "tance", "vomie", "coter", "biner", "skier", "riper", "jacot", "vroom", "lexis", "atman", "derny", "houla", "perre", "mahdi", "invar", "lotta", "litho", "barye", "monos", "livet", "neper", "horst", "creat", "bures", "pouic", "desks", "delco", "dines", "varus", "parka", "elide", "mazet", "dyade", "lagan", "kapok", "salop", "hotus", "heres", "guets", "javas", "kapos", "lamas", "lices", "fifis", "melos", "diams", "crics", "rocks", "biefs", "tores", "zozos", "epies", "larde", "oints", "relue", "taree", "amati", "venta", "houri", "stere", "agnel", "atres", "tille", "ramas", "pansu", "nenni", "menin", "marri", "laize", "ileon", "grime", "gerce", "felon", "degat", "sniff", "noise", "grill", "largo", "lippu", "gille", "cyclo", "stout", "estoc", "fecal", "exeat", "epieu", "deite", "cosse", "chyle", "carex", "bugle", "betel", "avers", "angon", "amure", "famee", "bogue", "drink", "palet", "obvie", "azyme", "vines", "terce", "huant", "cafte", "lotir", "douer", "celer", "molli", "paner", "roneo", "laird", "avens", "hecto", "bouif", "aioli", "karst", "sisal", "favus", "hanse", "fadas", "barjo", "itere", "ranci", "sexue", "birbe", "ripou", "ajout", "homes", "heurs", "grogs", "luths", "mokas", "neves", "oyats", "czars", "sires", "slows", "bonis", "bills", "titis", "trios", "yacks", "zebus", "lares", "feaux", "viles", "ocree", "ourdi", "marra", "mitee", "canes", "bisse", "taxee", "candi", "urane", "tatou", "radie", "queux", "nones", "ladre", "fenil", "fanon", "dente", "cagot", "baste", "alise", "stuka", "promo", "azure", "lento", "haste", "salam", "spray", "golem", "gamay", "drift", "cepee", "alene", "tacle", "hobby", "argon", "indue", "sigma", "datte", "penne", "liber", "grume", "kurde", "roser", "calte", "tales", "fetee", "matee", "medit", "rimee", "sucee", "giter", "viner", "rager", "gazer", "feler", "beler", "tuber", "perco", "verif", "flocs", "orlon", "alpax", "renon", "tokai", "cauri", "blitz", "homos", "kacha", "devon", "alios", "amans", "papet", "turbe", "furia", "flush", "ipeca", "sprat", "manse", "mucor", "varan", "racer", "asine", "amman", "dives", "altos", "gagas", "obere", "feria", "clive", "arase", "pante", "liche", "vouge", "imams", "kakis", "gnous", "labos", "lards", "luxes", "estes", "edens", "dynes", "drags", "denis", "pumas", "comas", "sagas", "cakes", "blots", "stops", "suies", "talas", "tatas", "bangs", "toges", "trocs", "laies", "surie", "cocue", "petee", "etaie", "ointe", "panee", "snobe", "baves", "curry", "ognon", "troll", "karma", "mixer", "yeuse", "voyer", "tiret", "sumac", "ramee", "rajah", "ponge", "pilaf", "pigne", "papal", "nitre", "murex", "lemme", "julep", "junte", "cague", "lorry", "mores", "bloom", "input", "bingo", "joker", "redan", "galla", "molto", "mezzo", "manda", "drain", "infus", "fessu", "ecale", "drave", "boldo", "begum", "bagou", "apnee", "alvin", "votif", "haire", "hadji", "ferue", "safre", "khmer", "hapax", "vivat", "bezef", "gobes", "dopes", "lumes", "noves", "gaudi", "niees", "misee", "feule", "otees", "epele", "greee", "pames", "tiedi", "vagir", "gager", "auner", "layer", "jodel", "trona", "jumbo", "stups", "kores", "meats", "hiles", "twill", "tokay", "gyrus", "ulves", "taret", "pepee", "psitt", "doris", "aplat", "craps", "labre", "cafre", "indou", "murin", "boree", "oflag", "bolee", "tacon", "funes", "fanas", "apure", "soyer", "kefir", "reces", "huron", "haiks", "jades", "gours", "fracs", "flips", "flans", "miels", "muids", "oueds", "demes", "peons", "pepes", "clics", "saxes", "saxos", "bulls", "booms", "bides", "totos", "arias", "tubas", "vamps", "ahans", "rebat", "pinta", "emeus", "panes", "boula", "bolas", "bugne", "lapon", "pareo", "ecule", "suret", "surah", "sunna", "supin", "runes", "rosat", "raine", "oyant", "orpin", "ondin", "oille", "nopal", "mufti", "liais", "knout", "hanap", "flapi", "djinn", "datif", "bedon", "falun", "adret", "rough", "carry", "rasta", "salto", "regel", "satis", "ficus", "cavum", "abies", "dinar", "freux", "fagne", "cluse", "cavee", "bigue", "basin", "alose", "peson", "cilie", "kappa", "brick", "octet", "gruge", "migre", "nippe", "saque", "ronin", "lyser", "vaser", "gonde", "farte", "surir", "typee", "toure", "iodes", "anise", "limee", "lacee", "gobee", "foree", "echus", "minci", "drope", "chies", "roidi", "rosis", "rugis", "calmi", "talee", "muser", "luter", "greer", "damer", "caver", "bater", "enter", "rumbs", "iftar", "palas", "medes", "lycra", "scull", "loran", "peuls", "pisan", "aryle", "hazan", "iroko", "suifs", "gombo", "lurex", "nomes", "xylol", "cipal", "volis", "angor", "culex", "intox", "guppy", "vetos", "tatin", "drums", "baths", "canut", "mesas", "asque", "egeen", "rhums", "faena", "gerle", "saupe", "becot", "ibere", "carme", "muche", "koine", "escot", "encas", "fares", "toura", "derby", "sutra", "copra", "gouda", "maerl", "grole", "tsuga", "cajou", "clade", "burne", "cedat", "harki", "buron", "kebab", "andin", "octal", "merou", "ecrus", "bries", "ignes", "hunes", "hases", "harts", "jougs", "golfs", "fulls", "looks", "luges", "lulus", "maies", "muges", "emirs", "ovnis", "colos", "cokes", "clams", "sanas", "saris", "sidis", "thugs", "azurs", "topos", "toues", "tracs", "alfas", "aedes", "liges", "flats", "fadee", "reacs", "betas", "argue", "viola", "etete", "poile", "gagee", "fions", "mouds", "suces", "acnes", "nanar", "halva", "musse", "esche", "tramp", "anons", "vesse", "uhlan", "trema", "tortu", "spica", "pools", "sbire", "sayon", "pipee", "pilum", "penon", "orant", "oison", "oblat", "minon", "macis", "litee", "ileus", "gaude", "ducat", "chott", "bubon", "braie", "atour", "verin", "agame", "smack", "mammy", "freak", "blush", "panda", "cheap", "quiet", "agave", "rolle", "salsa", "gamba", "selfs", "batik", "koala", "scrub", "payse", "hoyau", "goton", "foene", "empan", "decan", "darne", "daine", "culee", "berme", "batee", "abyme", "armet", "almee", "agape", "xenon", "toron", "grene", "ukase", "comma", "lives", "putte", "lifte", "urger", "rouie", "rassi", "ulule", "supes", "rible", "lites", "helee", "ecime", "humes", "humee", "piffe", "heles", "gemie", "fouie", "mixee", "muees", "mugis", "damee", "relui", "pagee", "chues", "celee", "brait", "tosse", "miree", "toper", "raire", "paver", "matis", "poter", "gesir", "alpee", "otons", "sados", "racho", "ossus", "guais", "rashs", "orins", "bunas", "makis", "duals", "tikis", "vaire", "palud", "hemes", "paxon", "jezes", "iboga", "donax", "igame", "dural", "avien", "balan", "fouee", "ketch", "freon", "indol", "niebe", "cappa", "miton", "orles", "vedas", "tecks", "pupes", "cracs", "cores", "masos", "duits", "fiels", "duale", "iceux", "apion", "lochs", "punts", "kippa", "conga", "typha", "tolee", "epige", "aprem", "agglo", "miros", "lotes", "tabor", "efrit", "pecan", "besef", "manip", "remiz", "putto", "roofs", "houka", "slush", "raphe", "nieme", "muron", "yoles", "jurat", "sagum", "oside", "loser", "krill", "lamer", "taler", "calla", "barns", "sores", "skips", "douma", "calao", "venes", "caude", "tates", "rotas", "abras", "radia", "soufi", "foehn", "coppa", "immun", "roumi", "aoute", "kitch", "letal", "axile", "bizut", "labbe", "igloo", "rebab", "haiku", "cairn", "urubu", "fumat", "trine", "diapo", "boson", "igues", "iules", "goums", "kiwis", "lolos", "frics", "mails", "expos", "najas", "embus", "nepes", "dykes", "duces", "ouzos", "dodos", "divas", "papis", "cymes", "polos", "cosys", "rabes", "ramis", "cives", "riffs", "sakes", "senes", "shahs", "shows", "sidas", "biles", "teams", "babys", "turfs", "tzars", "viocs", "agios", "aghas", "aches", "yogis", "zonas", "zooms", "nases", "nazes", "perie", "souls", "pluma", "barri", "oigne", "poque", "godes", "gazee", "moula", "rosie", "bates", "tuner", "sabra", "vites", "tuque", "dicos", "lieus", "brook", "blets", "grays", "okapi", "quark", "seide", "picte", "hayon", "balsa", "gadjo", "alune", "selve", "lexie", "provo", "denim", "vesce", "tridi", "torte", "tolet", "taure", "taque", "talle", "tafia", "stipe", "sotie", "sloop", "sicle", "seton", "sasse", "sagou", "rocou", "peton", "pattu", "paton", "parsi", "orque", "opiat", "omble", "nolis", "mulon", "matte", "lerot", "lamie", "jable", "huard", "event", "etier", "epode", "endos", "eider", "edile", "drome", "defet", "decri", "ciron", "cavet", "cabus", "buire", "solen", "rhodo", "arien", "apode", "panty", "funky", "mound", "trick", "truck", "flood", "phone", "panka", "tomme", "trots", "kraal", "ciste", "sampi", "sopor", "palus", "cutis", "aspis", "gaiac", "fiord", "crash", "zonal", "poise", "ithos", "hydne", "helix", "haret", "guzla", "goura", "goule", "gouet", "glene", "girie", "gaupe", "gambe", "faine", "espar", "equin", "duodi", "ceste", "caret", "capre", "calus", "cagne", "astic", "aspre", "ambon", "aleze", "agnat", "agami", "lieur", "adobe", "beurs", "mango", "volve", "ossue", "lunee", "lamee", "erres", "ansee", "brele", "macle", "geode", "theta", "ainou", "quipu", "hindi", "slang", "henry"]
| 27,120.5
| 54,240
| 0.555613
| 6,027
| 54,241
| 5.000166
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111115
| 54,241
| 1
| 54,241
| 54,241
| 0.625047
| 0
| 0
| 0
| 0
| 0
| 0.555392
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
e5f8f7cc5f7ac97953c002a3ee04a212f8ad2fcc
| 32
|
py
|
Python
|
nssrc/com/citrix/netscaler/nitro/resource/config/reputation/__init__.py
|
guardicore/nitro-python
|
5346a5086134aead80968f15a41ff527adaa0ec1
|
[
"Apache-2.0"
] | 2
|
2020-08-24T18:04:22.000Z
|
2020-08-24T18:04:47.000Z
|
nitro/resource/config/reputation/__init__.py
|
HanseMerkur/nitro-python
|
d03eb11f492a35a2a8b2a140322fbce22d25a8f7
|
[
"Apache-2.0"
] | null | null | null |
nitro/resource/config/reputation/__init__.py
|
HanseMerkur/nitro-python
|
d03eb11f492a35a2a8b2a140322fbce22d25a8f7
|
[
"Apache-2.0"
] | null | null | null |
__all__ = ['reputationsettings']
| 32
| 32
| 0.78125
| 2
| 32
| 10.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0625
| 32
| 1
| 32
| 32
| 0.7
| 0
| 0
| 0
| 0
| 0
| 0.545455
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
e5faee39fc30d96b9cb1a10d34823adc202111d5
| 167
|
py
|
Python
|
Factorial Recursion.py
|
FreeBirdsCrew/Brainstorming_Codes
|
9d06216cd0772ce56586acff2c240a210b94ba1f
|
[
"Apache-2.0"
] | 1
|
2020-12-11T10:24:08.000Z
|
2020-12-11T10:24:08.000Z
|
Factorial Recursion.py
|
FreeBirdsCrew/Brainstorming_Codes
|
9d06216cd0772ce56586acff2c240a210b94ba1f
|
[
"Apache-2.0"
] | null | null | null |
Factorial Recursion.py
|
FreeBirdsCrew/Brainstorming_Codes
|
9d06216cd0772ce56586acff2c240a210b94ba1f
|
[
"Apache-2.0"
] | null | null | null |
# Factorial of a Given Number by User
def factorial(x):
if x == 0:
return 1
return x * factorial(x - 1)
x=int(raw_input())
print factorial(x)
| 18.555556
| 38
| 0.592814
| 27
| 167
| 3.62963
| 0.62963
| 0.306122
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025641
| 0.299401
| 167
| 9
| 39
| 18.555556
| 0.811966
| 0.209581
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0.166667
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
00666ab30bf2118bca3dfb2d2c3b289ef1a704df
| 130
|
py
|
Python
|
nr.4_working.py
|
kociumba/algorithms-for-it
|
8317229845a877568879c1b9e966cd1cc03c7a6b
|
[
"MIT"
] | null | null | null |
nr.4_working.py
|
kociumba/algorithms-for-it
|
8317229845a877568879c1b9e966cd1cc03c7a6b
|
[
"MIT"
] | null | null | null |
nr.4_working.py
|
kociumba/algorithms-for-it
|
8317229845a877568879c1b9e966cd1cc03c7a6b
|
[
"MIT"
] | null | null | null |
a = input('please input a number: ')
b = input('please input a second number: ')
ax = a
bx = b
a = bx
b = ax
print(a)
print(b)
| 10.833333
| 43
| 0.6
| 25
| 130
| 3.12
| 0.36
| 0.282051
| 0.410256
| 0.435897
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.246154
| 130
| 11
| 44
| 11.818182
| 0.795918
| 0
| 0
| 0
| 0
| 0
| 0.407692
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
007bc018cadf634e6a19ae045067562718485c12
| 106
|
py
|
Python
|
bleak/backends/__init__.py
|
pjbosco/bleak
|
7c65d74e7dda14d130de4065eb33d1ca20553adf
|
[
"MIT"
] | 753
|
2018-08-01T08:46:21.000Z
|
2022-03-31T22:58:12.000Z
|
bleak/backends/__init__.py
|
pjbosco/bleak
|
7c65d74e7dda14d130de4065eb33d1ca20553adf
|
[
"MIT"
] | 587
|
2018-04-27T09:47:58.000Z
|
2022-03-31T14:55:57.000Z
|
bleak/backends/__init__.py
|
pjbosco/bleak
|
7c65d74e7dda14d130de4065eb33d1ca20553adf
|
[
"MIT"
] | 180
|
2018-09-28T09:34:58.000Z
|
2022-03-30T19:19:34.000Z
|
# -*- coding: utf-8 -*-
"""
__init__.py
Created on 2017-11-19 by hbldh <henrik.blidh@nedomkull.com>
"""
| 13.25
| 59
| 0.632075
| 16
| 106
| 3.9375
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0.150943
| 106
| 7
| 60
| 15.142857
| 0.6
| 0.896226
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
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| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
009a9c57dd383eb213cf4788ccad40025ab68ad9
| 67
|
py
|
Python
|
module_ambulance/__init__.py
|
SoftButterfly/appsxsalud2016
|
3986f531a2c0ea3fc815b9519d2bb32b08949cbc
|
[
"MIT"
] | null | null | null |
module_ambulance/__init__.py
|
SoftButterfly/appsxsalud2016
|
3986f531a2c0ea3fc815b9519d2bb32b08949cbc
|
[
"MIT"
] | null | null | null |
module_ambulance/__init__.py
|
SoftButterfly/appsxsalud2016
|
3986f531a2c0ea3fc815b9519d2bb32b08949cbc
|
[
"MIT"
] | null | null | null |
default_app_config = 'module_ambulance.apps.ModuleAmbulanceConfig'
| 33.5
| 66
| 0.880597
| 7
| 67
| 8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.044776
| 67
| 1
| 67
| 67
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0.641791
| 0.641791
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
00c927a19966981efc54e2dc291e114559800461
| 224
|
py
|
Python
|
blog/admin.py
|
lokeshmeher/django-blogging-platform
|
ca90c91917fad5bb183bd3f2aef8e999a3234015
|
[
"MIT"
] | null | null | null |
blog/admin.py
|
lokeshmeher/django-blogging-platform
|
ca90c91917fad5bb183bd3f2aef8e999a3234015
|
[
"MIT"
] | null | null | null |
blog/admin.py
|
lokeshmeher/django-blogging-platform
|
ca90c91917fad5bb183bd3f2aef8e999a3234015
|
[
"MIT"
] | 1
|
2020-09-18T08:52:10.000Z
|
2020-09-18T08:52:10.000Z
|
from django.contrib import admin
from .models import Article
@admin.register(Article)
class ArticleAdmin(admin.ModelAdmin):
exclude = ('word_count', 'read_time_in_mins')
prepopulated_fields = {'slug': ('title',)}
| 22.4
| 49
| 0.736607
| 27
| 224
| 5.925926
| 0.814815
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.133929
| 224
| 9
| 50
| 24.888889
| 0.824742
| 0
| 0
| 0
| 0
| 0
| 0.160714
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.833333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
00d6c0a821802dc91c4e7c988ae161e3f08e0bb1
| 69
|
py
|
Python
|
test/python/WMCore_t/Agent_t/Daemon_t/__init__.py
|
hufnagel/WMCore
|
b150cc725b68fc1cf8e6e0fa07c826226a4421fa
|
[
"Apache-2.0"
] | 21
|
2015-11-19T16:18:45.000Z
|
2021-12-02T18:20:39.000Z
|
test/python/WMCore_t/Agent_t/Daemon_t/__init__.py
|
hufnagel/WMCore
|
b150cc725b68fc1cf8e6e0fa07c826226a4421fa
|
[
"Apache-2.0"
] | 5,671
|
2015-01-06T14:38:52.000Z
|
2022-03-31T22:11:14.000Z
|
test/python/WMCore_t/Agent_t/Daemon_t/__init__.py
|
hufnagel/WMCore
|
b150cc725b68fc1cf8e6e0fa07c826226a4421fa
|
[
"Apache-2.0"
] | 67
|
2015-01-21T15:55:38.000Z
|
2022-02-03T19:53:13.000Z
|
#!/usr/bin/env python
"""
__init__
Tests for creating
daemons.
"""
| 7.666667
| 21
| 0.666667
| 9
| 69
| 4.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.15942
| 69
| 8
| 22
| 8.625
| 0.724138
| 0.84058
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
daae9e8dabbe98694d563317ed28b07279e80f59
| 55
|
py
|
Python
|
api/views/__init__.py
|
robohead/minimal-django-rest-api-boilerplate
|
279bd8ba7545573e4bd02a29a46c93e17839a72b
|
[
"MIT"
] | 4
|
2019-07-03T18:33:09.000Z
|
2022-01-07T17:10:03.000Z
|
api/views/__init__.py
|
robohead/minimal-django-rest-api-boilerplate
|
279bd8ba7545573e4bd02a29a46c93e17839a72b
|
[
"MIT"
] | null | null | null |
api/views/__init__.py
|
robohead/minimal-django-rest-api-boilerplate
|
279bd8ba7545573e4bd02a29a46c93e17839a72b
|
[
"MIT"
] | null | null | null |
# coding=utf-8
# flake8: noqa
from .index import index
| 13.75
| 24
| 0.727273
| 9
| 55
| 4.444444
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.043478
| 0.163636
| 55
| 3
| 25
| 18.333333
| 0.826087
| 0.454545
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
daf3a85a9282861b8240594564dfb0557a7d916e
| 83
|
py
|
Python
|
purple/extras/performance_counter.py
|
a8ksh4/purple
|
11460cc44cda7edf6f8fce5a5c841d4b04a47741
|
[
"MIT"
] | 3
|
2021-12-24T04:14:48.000Z
|
2022-01-19T16:48:14.000Z
|
purple/extras/performance_counter.py
|
a8ksh4/purple
|
11460cc44cda7edf6f8fce5a5c841d4b04a47741
|
[
"MIT"
] | 1
|
2022-01-25T05:32:21.000Z
|
2022-01-25T05:32:21.000Z
|
purple/extras/performance_counter.py
|
a8ksh4/purple
|
11460cc44cda7edf6f8fce5a5c841d4b04a47741
|
[
"MIT"
] | 1
|
2022-01-19T00:41:04.000Z
|
2022-01-19T00:41:04.000Z
|
class PerformanceCounter:
def update(self, status):
print(status.delta)
| 27.666667
| 29
| 0.698795
| 9
| 83
| 6.444444
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.204819
| 83
| 3
| 30
| 27.666667
| 0.878788
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0
| 0.666667
| 0.333333
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
970c0daf137456a382c98ed6e1781782a69e4694
| 188
|
py
|
Python
|
solr_utils.py
|
gongchengshi/python_common
|
a68ab61e03c433a33f16119910e1e73e848ea824
|
[
"MIT"
] | null | null | null |
solr_utils.py
|
gongchengshi/python_common
|
a68ab61e03c433a33f16119910e1e73e848ea824
|
[
"MIT"
] | null | null | null |
solr_utils.py
|
gongchengshi/python_common
|
a68ab61e03c433a33f16119910e1e73e848ea824
|
[
"MIT"
] | 1
|
2018-09-19T00:33:35.000Z
|
2018-09-19T00:33:35.000Z
|
import pysolr
def document_exists(self, id):
results = self.search('id:%s' % id)
return results.hits > 0
def extend_pysolr():
pysolr.Solr.document_exists = document_exists
| 17.090909
| 49
| 0.702128
| 26
| 188
| 4.923077
| 0.576923
| 0.328125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006536
| 0.18617
| 188
| 10
| 50
| 18.8
| 0.830065
| 0
| 0
| 0
| 0
| 0
| 0.026596
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.166667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
9740eec9b5f1c87e2a08fecf24a8e76dc458899f
| 123
|
py
|
Python
|
src/settings.py
|
wespatrocinio/basic_recommender_over_spark
|
53ffdff671e9e2f2f78117d060192fd7c2dca07e
|
[
"MIT"
] | null | null | null |
src/settings.py
|
wespatrocinio/basic_recommender_over_spark
|
53ffdff671e9e2f2f78117d060192fd7c2dca07e
|
[
"MIT"
] | null | null | null |
src/settings.py
|
wespatrocinio/basic_recommender_over_spark
|
53ffdff671e9e2f2f78117d060192fd7c2dca07e
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
INPUT_PATH = "../data/data_reduced.json"
OUTPUT_PATH = "../data/recommendations.json"
NUM_RECS = 5
| 24.6
| 44
| 0.674797
| 17
| 123
| 4.647059
| 0.764706
| 0.202532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018349
| 0.113821
| 123
| 5
| 45
| 24.6
| 0.706422
| 0.170732
| 0
| 0
| 0
| 0
| 0.524752
| 0.524752
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
97416b45d603d67ab058636ea02bee7be8c86275
| 25,564
|
py
|
Python
|
tests/pytest/core_tests/test_ndarray_elementwise_op.py
|
SX-Aurora/nlcpy
|
0a53eec8778073bc48b12687b7ce37ab2bf2b7e0
|
[
"BSD-3-Clause"
] | 11
|
2020-07-31T02:21:55.000Z
|
2022-03-10T03:12:11.000Z
|
tests/pytest/core_tests/test_ndarray_elementwise_op.py
|
SX-Aurora/nlcpy
|
0a53eec8778073bc48b12687b7ce37ab2bf2b7e0
|
[
"BSD-3-Clause"
] | null | null | null |
tests/pytest/core_tests/test_ndarray_elementwise_op.py
|
SX-Aurora/nlcpy
|
0a53eec8778073bc48b12687b7ce37ab2bf2b7e0
|
[
"BSD-3-Clause"
] | null | null | null |
#
# * The source code in this file is based on the soure code of CuPy.
#
# # NLCPy License #
#
# Copyright (c) 2020-2021 NEC Corporation
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright notice,
# this list of conditions and the following disclaimer.
# * Redistributions in binary form must reproduce the above copyright notice,
# this list of conditions and the following disclaimer in the documentation
# and/or other materials provided with the distribution.
# * Neither NEC Corporation nor the names of its contributors may be
# used to endorse or promote products derived from this software
# without specific prior written permission.
#
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
# ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
# WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
# FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
# (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
# LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND
# ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
# (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
# SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
#
# # CuPy License #
#
# Copyright (c) 2015 Preferred Infrastructure, Inc.
# Copyright (c) 2015 Preferred Networks, Inc.
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
# copies of the Software, and to permit persons to whom the Software is
# furnished to do so, subject to the following conditions:
#
# The above copyright notice and this permission notice shall be included in
# all copies or substantial portions of the Software.
#
# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
import operator
import unittest
import numpy
import nlcpy
from nlcpy import testing
class TestArrayElementwiseOp(unittest.TestCase):
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(rtol=1e-6, accept_error=TypeError)
def check_array_scalar_op(self, op, xp, x_type, y_type, swap=False,
no_bool=False, no_complex=False):
x_dtype = numpy.dtype(x_type)
y_dtype = numpy.dtype(y_type)
if no_bool and x_dtype == '?' and y_dtype == '?':
return xp.array(True)
if no_complex and (x_dtype.kind == 'c' or y_dtype.kind == 'c'):
return xp.array(True)
a = xp.array([[1, 2, 3], [4, 5, 6]], x_type)
if swap:
return op(y_type(3), a)
else:
return op(a, y_type(3))
def test_add_scalar(self):
self.check_array_scalar_op(operator.add)
def test_radd_scalar(self):
self.check_array_scalar_op(operator.add, swap=True)
@testing.with_requires('numpy>=1.10')
def test_iadd_scalar(self):
self.check_array_scalar_op(operator.iadd)
def test_sub_scalar(self):
self.check_array_scalar_op(operator.sub, no_bool=True)
def test_rsub_scalar(self):
self.check_array_scalar_op(operator.sub, swap=True, no_bool=True)
@testing.with_requires('numpy>=1.10')
def test_isub_scalar(self):
self.check_array_scalar_op(operator.isub, no_bool=True)
def test_mul_scalar(self):
self.check_array_scalar_op(operator.mul)
def test_rmul_scalar(self):
self.check_array_scalar_op(operator.mul, swap=True)
@testing.with_requires('numpy>=1.10')
def test_imul_scalar(self):
self.check_array_scalar_op(operator.imul)
def test_truediv_scalar(self):
with testing.NumpyError(divide='ignore'):
self.check_array_scalar_op(operator.truediv)
def test_rtruediv_scalar(self):
with testing.NumpyError(divide='ignore'):
self.check_array_scalar_op(operator.truediv, swap=True)
@testing.with_requires('numpy>=1.10')
def test_itruediv_scalar(self):
with testing.NumpyError(divide='ignore'):
self.check_array_scalar_op(operator.itruediv)
def test_floordiv_scalar(self):
with testing.NumpyError(divide='ignore'):
self.check_array_scalar_op(operator.floordiv, no_complex=True)
def test_rfloordiv_scalar(self):
with testing.NumpyError(divide='ignore'):
self.check_array_scalar_op(operator.floordiv, swap=True,
no_complex=True)
@testing.with_requires('numpy>=1.10')
def test_ifloordiv_scalar(self):
with testing.NumpyError(divide='ignore'):
self.check_array_scalar_op(operator.ifloordiv, no_complex=True)
def test_pow_scalar(self):
self.check_array_scalar_op(operator.pow)
def test_rpow_scalar(self):
self.check_array_scalar_op(operator.pow, swap=True)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(atol=1.0, accept_error=TypeError)
def check_ipow_scalar(self, xp, x_type, y_type):
a = xp.array([[1, 2, 3], [4, 5, 6]], x_type)
return operator.ipow(a, y_type(3))
@testing.with_requires('numpy>=1.10')
def test_ipow_scalar(self):
self.check_ipow_scalar()
def test_lt_scalar(self):
self.check_array_scalar_op(operator.lt, no_complex=False)
def test_le_scalar(self):
self.check_array_scalar_op(operator.le, no_complex=False)
def test_gt_scalar(self):
self.check_array_scalar_op(operator.gt, no_complex=False)
def test_ge_scalar(self):
self.check_array_scalar_op(operator.ge, no_complex=False)
def test_eq_scalar(self):
self.check_array_scalar_op(operator.eq)
def test_ne_scalar(self):
self.check_array_scalar_op(operator.ne)
@testing.for_orders('CF', name='order_in')
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(accept_error=TypeError)
def check_array_array_op(self, op, xp, x_type, y_type, order_in,
no_bool=False, no_complex=False):
x_dtype = numpy.dtype(x_type)
y_dtype = numpy.dtype(y_type)
if no_bool and x_dtype == '?' and y_dtype == '?':
return xp.array(True)
if no_complex and (x_dtype.kind == 'c' or y_dtype.kind == 'c'):
return xp.array(True)
a = xp.array([[1, 2, 3], [4, 5, 6]], x_type, order=order_in)
b = xp.array([[6, 5, 4], [3, 2, 1]], y_type, order=order_in)
return op(a, b)
def test_add_array(self):
self.check_array_array_op(operator.add)
@testing.with_requires('numpy>=1.10')
def test_iadd_array(self):
self.check_array_array_op(operator.iadd)
def test_sub_array(self):
self.check_array_array_op(operator.sub, no_bool=True)
@testing.with_requires('numpy>=1.10')
def test_isub_array(self):
self.check_array_array_op(operator.isub, no_bool=True)
def test_mul_array(self):
self.check_array_array_op(operator.mul)
@testing.with_requires('numpy>=1.10')
def test_imul_array(self):
self.check_array_array_op(operator.imul)
def test_truediv_array(self):
with testing.NumpyError(divide='ignore'):
self.check_array_array_op(operator.truediv)
@testing.with_requires('numpy>=1.10')
def test_itruediv_array(self):
with testing.NumpyError(divide='ignore'):
self.check_array_array_op(operator.itruediv)
def test_floordiv_array(self):
with testing.NumpyError(divide='ignore'):
self.check_array_array_op(operator.floordiv, no_complex=True)
@testing.with_requires('numpy>=1.10')
def test_ifloordiv_array(self):
if '1.16.1' <= numpy.lib.NumpyVersion(numpy.__version__) < '1.18.0':
self.skipTest("NumPy Issue #12927")
with testing.NumpyError(divide='ignore'):
self.check_array_array_op(operator.ifloordiv, no_complex=True)
def test_pow_array(self):
self.check_array_array_op(operator.pow)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(atol=1.0, accept_error=TypeError)
def check_ipow_array(self, xp, x_type, y_type):
a = xp.array([[1, 2, 3], [4, 5, 6]], x_type)
b = xp.array([[6, 5, 4], [3, 2, 1]], y_type)
return operator.ipow(a, b)
@testing.with_requires('numpy>=1.10')
def test_ipow_array(self):
self.check_ipow_array()
def test_lt_array(self):
self.check_array_array_op(operator.lt, no_complex=True)
def test_le_array(self):
self.check_array_array_op(operator.le, no_complex=True)
def test_gt_array(self):
self.check_array_array_op(operator.gt, no_complex=True)
def test_ge_array(self):
self.check_array_array_op(operator.ge, no_complex=True)
def test_eq_array(self):
self.check_array_array_op(operator.eq)
def test_ne_array(self):
self.check_array_array_op(operator.ne)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(accept_error=TypeError)
def check_array_broadcasted_op(self, op, xp, x_type, y_type,
no_bool=False, no_complex=False):
x_dtype = numpy.dtype(x_type)
y_dtype = numpy.dtype(y_type)
if no_bool and x_dtype == '?' and y_dtype == '?':
return xp.array(True)
if no_complex and (x_dtype.kind == 'c' or y_dtype.kind == 'c'):
return xp.array(True)
a = xp.array([[1, 2, 3], [4, 5, 6]], x_type)
b = xp.array([[1], [2]], y_type)
return op(a, b)
def test_broadcasted_add(self):
self.check_array_broadcasted_op(operator.add)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_iadd(self):
self.check_array_broadcasted_op(operator.iadd)
def test_broadcasted_sub(self):
self.check_array_broadcasted_op(operator.sub, no_bool=True)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_isub(self):
self.check_array_broadcasted_op(operator.isub, no_bool=True)
def test_broadcasted_mul(self):
self.check_array_broadcasted_op(operator.mul)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_imul(self):
self.check_array_broadcasted_op(operator.imul)
def test_broadcasted_truediv(self):
with testing.NumpyError(divide='ignore'):
self.check_array_broadcasted_op(operator.truediv)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_itruediv(self):
with testing.NumpyError(divide='ignore'):
self.check_array_broadcasted_op(operator.itruediv)
def test_broadcasted_floordiv(self):
with testing.NumpyError(divide='ignore'):
self.check_array_broadcasted_op(operator.floordiv, no_complex=True)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_ifloordiv(self):
if '1.16.1' <= numpy.lib.NumpyVersion(numpy.__version__) < '1.18.0':
self.skipTest("NumPy Issue #12927")
with testing.NumpyError(divide='ignore'):
self.check_array_broadcasted_op(operator.ifloordiv,
no_complex=True)
def test_broadcasted_pow(self):
self.check_array_broadcasted_op(operator.pow)
@testing.with_requires('numpy>=1.10')
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(atol=1.0, accept_error=TypeError)
def check_broadcasted_ipow(self, xp, x_type, y_type):
a = xp.array([[1, 2, 3], [4, 5, 6]], x_type)
b = xp.array([[1], [2]], y_type)
return operator.ipow(a, b)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_ipow(self):
self.check_broadcasted_ipow()
def test_broadcasted_lt(self):
self.check_array_broadcasted_op(operator.lt, no_complex=True)
def test_broadcasted_le(self):
self.check_array_broadcasted_op(operator.le, no_complex=True)
def test_broadcasted_gt(self):
self.check_array_broadcasted_op(operator.gt, no_complex=True)
def test_broadcasted_ge(self):
self.check_array_broadcasted_op(operator.ge, no_complex=True)
def test_broadcasted_eq(self):
self.check_array_broadcasted_op(operator.eq)
def test_broadcasted_ne(self):
self.check_array_broadcasted_op(operator.ne)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose()
def check_array_doubly_broadcasted_op(self, op, xp, x_type, y_type,
no_bool=False, no_complex=False):
x_dtype = numpy.dtype(x_type)
y_dtype = numpy.dtype(y_type)
if no_bool and x_dtype == '?' and y_dtype == '?':
return xp.array(True)
if no_complex and (x_dtype.kind == 'c' or y_dtype.kind == 'c'):
return xp.array(True)
a = xp.array([[[1, 2, 3]], [[4, 5, 6]]], x_type)
b = xp.array([[1], [2], [3]], y_type)
return op(a, b)
def test_doubly_broadcasted_add(self):
self.check_array_doubly_broadcasted_op(operator.add)
def test_doubly_broadcasted_sub(self):
self.check_array_doubly_broadcasted_op(operator.sub, no_bool=True)
def test_doubly_broadcasted_mul(self):
self.check_array_doubly_broadcasted_op(operator.mul)
def test_doubly_broadcasted_truediv(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_doubly_broadcasted_op(operator.truediv)
def test_doubly_broadcasted_floordiv(self):
with testing.NumpyError(divide='ignore'):
self.check_array_doubly_broadcasted_op(operator.floordiv,
no_complex=True)
def test_doubly_broadcasted_pow(self):
self.check_array_doubly_broadcasted_op(operator.pow)
def test_doubly_broadcasted_lt(self):
self.check_array_doubly_broadcasted_op(operator.lt, no_complex=True)
def test_doubly_broadcasted_le(self):
self.check_array_doubly_broadcasted_op(operator.le, no_complex=True)
def test_doubly_broadcasted_gt(self):
self.check_array_doubly_broadcasted_op(operator.gt, no_complex=True)
def test_doubly_broadcasted_ge(self):
self.check_array_doubly_broadcasted_op(operator.ge, no_complex=True)
def test_doubly_broadcasted_eq(self):
self.check_array_doubly_broadcasted_op(operator.eq)
def test_doubly_broadcasted_ne(self):
self.check_array_doubly_broadcasted_op(operator.ne)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose()
def check_array_reversed_op(self, op, xp, x_type, y_type, no_bool=False):
if no_bool and x_type == numpy.bool_ and y_type == numpy.bool_:
return xp.array(True)
a = xp.array([1, 2, 3, 4, 5], x_type)
b = xp.array([1, 2, 3, 4, 5], y_type)
return op(a, b[::-1])
def test_array_reversed_add(self):
self.check_array_reversed_op(operator.add)
def test_array_reversed_sub(self):
self.check_array_reversed_op(operator.sub, no_bool=True)
def test_array_reversed_mul(self):
self.check_array_reversed_op(operator.mul)
@testing.for_all_dtypes(no_bool=True)
def check_typecast(self, val, dtype):
operators = [
operator.add, operator.sub, operator.mul, operator.truediv]
for op in operators:
with testing.NumpyError(divide='ignore', invalid='ignore'):
a = op(val, (testing.shaped_arange((5,), numpy, dtype) - 2))
b = op(val, (testing.shaped_arange((5,), nlcpy, dtype) - 2))
self.assertEqual(a.dtype, b.dtype)
def test_typecast_bool1(self):
self.check_typecast(True)
def test_typecast_bool2(self):
self.check_typecast(False)
def test_typecast_int1(self):
self.check_typecast(0)
def test_typecast_int2(self):
self.check_typecast(-127)
def test_typecast_int3(self):
self.check_typecast(255)
def test_typecast_int4(self):
self.check_typecast(-32768)
def test_typecast_int5(self):
self.check_typecast(65535)
def test_typecast_int6(self):
self.check_typecast(-2147483648)
def test_typecast_int7(self):
self.check_typecast(4294967295)
def test_typecast_float1(self):
self.check_typecast(0.0)
def test_typecast_float2(self):
self.check_typecast(100000.0)
class TestArrayIntElementwiseOp(unittest.TestCase):
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(accept_error=TypeError)
def check_array_scalar_op(self, op, xp, x_type, y_type, swap=False):
a = xp.array([[0, 1, 2], [1, 0, 2]], dtype=x_type)
if swap:
return op(y_type(2), a)
else:
return op(a, y_type(2))
def test_lshift_scalar(self):
self.check_array_scalar_op(operator.lshift)
def test_rlshift_scalar(self):
self.check_array_scalar_op(operator.lshift, swap=True)
def test_rshift_scalar(self):
self.check_array_scalar_op(operator.rshift)
def test_rrshift_scalar(self):
self.check_array_scalar_op(operator.rshift, swap=True)
def test_and_scalar(self):
self.check_array_scalar_op(operator.and_)
def test_rand_scalar(self):
self.check_array_scalar_op(operator.and_, swap=True)
def test_or_scalar(self):
self.check_array_scalar_op(operator.or_)
def test_ror_scalar(self):
self.check_array_scalar_op(operator.or_, swap=True)
def test_xor_scalar(self):
self.check_array_scalar_op(operator.xor)
def test_rxor_scalar(self):
self.check_array_scalar_op(operator.xor, swap=True)
def test_mod_scalar(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_scalar_op(operator.mod)
def test_rmod_scalar(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_scalar_op(operator.mod, swap=True)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(accept_error=TypeError)
def check_array_scalarzero_op(self, op, xp, x_type, y_type, swap=False):
a = xp.array([[0, 1, 2], [1, 0, 2]], dtype=x_type)
if swap:
return op(y_type(0), a)
else:
return op(a, y_type(0))
def test_lshift_scalarzero(self):
self.check_array_scalarzero_op(operator.lshift)
def test_rlshift_scalarzero(self):
self.check_array_scalarzero_op(operator.lshift, swap=True)
def test_rshift_scalarzero(self):
self.check_array_scalarzero_op(operator.rshift)
def test_rrshift_scalarzero(self):
self.check_array_scalarzero_op(operator.rshift, swap=True)
def test_and_scalarzero(self):
self.check_array_scalarzero_op(operator.and_)
def test_rand_scalarzero(self):
self.check_array_scalarzero_op(operator.and_, swap=True)
def test_or_scalarzero(self):
self.check_array_scalarzero_op(operator.or_)
def test_ror_scalarzero(self):
self.check_array_scalarzero_op(operator.or_, swap=True)
def test_xor_scalarzero(self):
self.check_array_scalarzero_op(operator.xor)
def test_rxor_scalarzero(self):
self.check_array_scalarzero_op(operator.xor, swap=True)
def test_mod_scalarzero(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_scalarzero_op(operator.mod)
def test_rmod_scalarzero(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_scalarzero_op(operator.mod, swap=True)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(accept_error=TypeError)
def check_array_array_op(self, op, xp, x_type, y_type):
a = xp.array([[0, 1, 2], [1, 0, 2]], dtype=x_type)
b = xp.array([[0, 0, 1], [0, 1, 2]], dtype=y_type)
return op(a, b)
def test_lshift_array(self):
self.check_array_array_op(operator.lshift)
@testing.with_requires('numpy>=1.10')
def test_ilshift_array(self):
self.check_array_array_op(operator.ilshift)
def test_rshift_array(self):
self.check_array_array_op(operator.rshift)
@testing.with_requires('numpy>=1.10')
def test_irshift_array(self):
self.check_array_array_op(operator.irshift)
def test_and_array(self):
self.check_array_array_op(operator.and_)
@testing.with_requires('numpy>=1.10')
def test_iand_array(self):
self.check_array_array_op(operator.iand)
def test_or_array(self):
self.check_array_array_op(operator.or_)
@testing.with_requires('numpy>=1.10')
def test_ior_array(self):
self.check_array_array_op(operator.ior)
def test_xor_array(self):
self.check_array_array_op(operator.xor)
@testing.with_requires('numpy>=1.10')
def test_ixor_array(self):
self.check_array_array_op(operator.ixor)
def test_mod_array(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_array_op(operator.mod)
@testing.with_requires('numpy>=1.10')
def test_imod_array(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_array_op(operator.imod)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(accept_error=TypeError)
def check_array_broadcasted_op(self, op, xp, x_type, y_type):
a = xp.array([[0, 1, 2], [1, 0, 2], [2, 1, 0]], dtype=x_type)
b = xp.array([[0, 0, 1]], dtype=y_type)
return op(a, b)
def test_broadcasted_lshift(self):
self.check_array_broadcasted_op(operator.lshift)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_ilshift(self):
self.check_array_broadcasted_op(operator.ilshift)
def test_broadcasted_rshift(self):
self.check_array_broadcasted_op(operator.rshift)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_irshift(self):
self.check_array_broadcasted_op(operator.irshift)
def test_broadcasted_and(self):
self.check_array_broadcasted_op(operator.and_)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_iand(self):
self.check_array_broadcasted_op(operator.iand)
def test_broadcasted_or(self):
self.check_array_broadcasted_op(operator.or_)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_ior(self):
self.check_array_broadcasted_op(operator.ior)
def test_broadcasted_xor(self):
self.check_array_broadcasted_op(operator.xor)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_ixor(self):
self.check_array_broadcasted_op(operator.ixor)
def test_broadcasted_mod(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_broadcasted_op(operator.mod)
@testing.with_requires('numpy>=1.10')
def test_broadcasted_imod(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_broadcasted_op(operator.imod)
@testing.for_all_dtypes_combination(names=['x_type', 'y_type'])
@testing.numpy_nlcpy_allclose(accept_error=TypeError)
def check_array_doubly_broadcasted_op(self, op, xp, x_type, y_type):
a = xp.array([[[0, 1, 2]], [[1, 0, 2]]], dtype=x_type)
b = xp.array([[0], [0], [1]], dtype=y_type)
return op(a, b)
def test_doubly_broadcasted_lshift(self):
self.check_array_doubly_broadcasted_op(operator.lshift)
def test_doubly_broadcasted_rshift(self):
self.check_array_doubly_broadcasted_op(operator.rshift)
def test_doubly_broadcasted_and(self):
self.check_array_doubly_broadcasted_op(operator.and_)
def test_doubly_broadcasted_or(self):
self.check_array_doubly_broadcasted_op(operator.or_)
def test_doubly_broadcasted_xor(self):
self.check_array_doubly_broadcasted_op(operator.xor)
def test_doubly_broadcasted_mod(self):
with testing.NumpyError(divide='ignore', invalid='ignore'):
self.check_array_doubly_broadcasted_op(operator.mod)
| 37.265306
| 88
| 0.688546
| 3,590
| 25,564
| 4.607799
| 0.083844
| 0.059243
| 0.106638
| 0.109902
| 0.808427
| 0.772035
| 0.725245
| 0.665397
| 0.529984
| 0.407629
| 0
| 0.0161
| 0.203059
| 25,564
| 685
| 89
| 37.319708
| 0.795857
| 0.107456
| 0
| 0.300211
| 0
| 0
| 0.035366
| 0
| 0
| 0
| 0
| 0
| 0.002114
| 1
| 0.325581
| false
| 0
| 0.010571
| 0
| 0.393235
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
9746ee1931bea9f6bf3da99f6706fa6ba5b84d75
| 146
|
py
|
Python
|
run.py
|
avocadopelvis/Group-37_restaurant-website
|
7babe171bb77bb980f45c86a58cb99e4ca53b4c6
|
[
"MIT"
] | 1
|
2022-03-24T12:07:29.000Z
|
2022-03-24T12:07:29.000Z
|
run.py
|
avocadopelvis/Group-37_restaurant-website
|
7babe171bb77bb980f45c86a58cb99e4ca53b4c6
|
[
"MIT"
] | null | null | null |
run.py
|
avocadopelvis/Group-37_restaurant-website
|
7babe171bb77bb980f45c86a58cb99e4ca53b4c6
|
[
"MIT"
] | 3
|
2021-11-19T11:13:20.000Z
|
2021-11-20T20:36:35.000Z
|
from restaurant.routes import app
#checks if main.py has executed directly and not imported
if __name__ == '__main__':
app.run(debug = True)
| 24.333333
| 57
| 0.746575
| 22
| 146
| 4.590909
| 0.863636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.171233
| 146
| 5
| 58
| 29.2
| 0.834711
| 0.383562
| 0
| 0
| 0
| 0
| 0.089888
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
9750415e6f405428d438bf80f063341f89fbce07
| 549
|
py
|
Python
|
Chapter_3/End_of_Chapter_3/3_1.py
|
charliealpha094/Introduction-to-Python-Programming-for-Business-and-Social-Sciences-Applications
|
52c4612b0d80da3311411bc7aee1d98f75de3d95
|
[
"MIT"
] | null | null | null |
Chapter_3/End_of_Chapter_3/3_1.py
|
charliealpha094/Introduction-to-Python-Programming-for-Business-and-Social-Sciences-Applications
|
52c4612b0d80da3311411bc7aee1d98f75de3d95
|
[
"MIT"
] | null | null | null |
Chapter_3/End_of_Chapter_3/3_1.py
|
charliealpha094/Introduction-to-Python-Programming-for-Business-and-Social-Sciences-Applications
|
52c4612b0d80da3311411bc7aee1d98f75de3d95
|
[
"MIT"
] | null | null | null |
# Done by Carlos Amaral (2020/09/19)
taxi_ride_info = ["da7a62fce04", 180, 1.1, True]
print("The data type for the taxi_ride_info variable is: ", type(taxi_ride_info))
print("The data type for the first element of taxi_ride_info is: ", type(taxi_ride_info[0]))
print("The data type for the second element of taxi_ride_info is: ", type(taxi_ride_info[1]))
print("The data type for the third element of taxi_ride_info is: ", type(taxi_ride_info[2]))
print("The data type for the fourth element of taxi_ride_info is : ", type(taxi_ride_info[3]))
| 42.230769
| 95
| 0.746812
| 102
| 549
| 3.803922
| 0.294118
| 0.226804
| 0.340206
| 0.206186
| 0.731959
| 0.685567
| 0.402062
| 0.402062
| 0.402062
| 0.402062
| 0
| 0.04661
| 0.140255
| 549
| 13
| 95
| 42.230769
| 0.775424
| 0.061931
| 0
| 0
| 0
| 0
| 0.575875
| 0
| 0
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| 0
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| 1
| 0
| false
| 0
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| 0
| 0.833333
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
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| 0
| 0
| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 4
|
9769516993b3ccc19e13a52b8ef97b196e831e55
| 159
|
py
|
Python
|
pytest_cloudflare_worker/__init__.py
|
samuelcolvin/pytest-cloudflare-worker
|
225db7b26c8bd44e5f7d0199819a6e33e1e52efa
|
[
"MIT"
] | 5
|
2020-10-19T08:37:15.000Z
|
2021-10-06T06:57:33.000Z
|
pytest_cloudflare_worker/__init__.py
|
samuelcolvin/pytest-cloudflare-worker
|
225db7b26c8bd44e5f7d0199819a6e33e1e52efa
|
[
"MIT"
] | 6
|
2020-10-18T13:08:32.000Z
|
2020-11-01T19:14:21.000Z
|
pytest_cloudflare_worker/__init__.py
|
samuelcolvin/pytest-cloudflare-worker
|
225db7b26c8bd44e5f7d0199819a6e33e1e52efa
|
[
"MIT"
] | 1
|
2021-09-23T10:44:59.000Z
|
2021-09-23T10:44:59.000Z
|
from .main import TestClient, WorkerError, deploy
from .version import VERSION
__version__ = VERSION
__all__ = VERSION, 'TestClient', 'deploy', 'WorkerError'
| 26.5
| 56
| 0.779874
| 17
| 159
| 6.823529
| 0.470588
| 0.241379
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125786
| 159
| 5
| 57
| 31.8
| 0.834532
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| 0
| 0.169811
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
979df98d48675770b636d6bef61b317348ccb8f4
| 148
|
py
|
Python
|
BitterYear/__main__.py
|
jayrod/BitterYear
|
ad0ffab8b58530d5d9665771c370f6dd2ecee6ce
|
[
"Apache-2.0"
] | null | null | null |
BitterYear/__main__.py
|
jayrod/BitterYear
|
ad0ffab8b58530d5d9665771c370f6dd2ecee6ce
|
[
"Apache-2.0"
] | null | null | null |
BitterYear/__main__.py
|
jayrod/BitterYear
|
ad0ffab8b58530d5d9665771c370f6dd2ecee6ce
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
"""BitterYear.__main__: executed when BitterYear directory is called as script."""
from .BitterYear import main
main()
| 14.8
| 82
| 0.695946
| 18
| 148
| 5.5
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.008065
| 0.162162
| 148
| 9
| 83
| 16.444444
| 0.790323
| 0.668919
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
97c427d896cb05c982a06d3616b6db3142d3a690
| 84
|
py
|
Python
|
LSSTseeingEscapades/__init__.py
|
ivezic/LSSTseeingEscapades
|
acc7de9959ada7c789f7b0cac3287d4002b7ccdb
|
[
"MIT"
] | null | null | null |
LSSTseeingEscapades/__init__.py
|
ivezic/LSSTseeingEscapades
|
acc7de9959ada7c789f7b0cac3287d4002b7ccdb
|
[
"MIT"
] | null | null | null |
LSSTseeingEscapades/__init__.py
|
ivezic/LSSTseeingEscapades
|
acc7de9959ada7c789f7b0cac3287d4002b7ccdb
|
[
"MIT"
] | null | null | null |
from .LSSTseeingEscapades import * # noqa
from .version import __version__ # noqa
| 28
| 42
| 0.77381
| 9
| 84
| 6.777778
| 0.555556
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 84
| 2
| 43
| 42
| 0.871429
| 0.107143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
8af5fa173ed8025b206665a532af1c14f749ffcd
| 33
|
py
|
Python
|
source/__init__.py
|
aditya2469/galaga-2
|
5b5a979a8cc59a2f30700d35c10053394c2b34fe
|
[
"MIT"
] | 5
|
2020-01-16T05:04:45.000Z
|
2022-03-16T17:29:23.000Z
|
source/__init__.py
|
aditya2469/galaga-2
|
5b5a979a8cc59a2f30700d35c10053394c2b34fe
|
[
"MIT"
] | 1
|
2020-03-11T04:43:41.000Z
|
2020-03-11T04:43:41.000Z
|
source/__init__.py
|
aditya2469/galaga-2
|
5b5a979a8cc59a2f30700d35c10053394c2b34fe
|
[
"MIT"
] | 5
|
2020-11-06T21:02:12.000Z
|
2022-03-18T21:52:14.000Z
|
# __init__.py
"""
Hi there!
"""
| 5.5
| 13
| 0.515152
| 4
| 33
| 3.25
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.212121
| 33
| 5
| 14
| 6.6
| 0.5
| 0.666667
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
8afacbb9b72283054d6759d79dc94199ad720e69
| 100
|
py
|
Python
|
ois_api_client/v2_0/dto/RequestVersion.py
|
peterkulik/ois_api_client
|
51dabcc9f920f89982c4419bb058f5a88193cee0
|
[
"MIT"
] | 7
|
2020-10-22T08:15:29.000Z
|
2022-01-27T07:59:39.000Z
|
ois_api_client/v2_0/dto/RequestVersion.py
|
peterkulik/ois_api_client
|
51dabcc9f920f89982c4419bb058f5a88193cee0
|
[
"MIT"
] | null | null | null |
ois_api_client/v2_0/dto/RequestVersion.py
|
peterkulik/ois_api_client
|
51dabcc9f920f89982c4419bb058f5a88193cee0
|
[
"MIT"
] | null | null | null |
from enum import Enum
class RequestVersion(Enum):
"""Request header type"""
R_2_0 = '2.0'
| 14.285714
| 29
| 0.65
| 15
| 100
| 4.2
| 0.733333
| 0.063492
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.051282
| 0.22
| 100
| 6
| 30
| 16.666667
| 0.75641
| 0.19
| 0
| 0
| 0
| 0
| 0.04
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 4
|
8afc2e250f4ce5f02c118ac55509f58e5e4fc4f8
| 149
|
py
|
Python
|
src/core/auth_pipeline.py
|
bartmanos/sfn
|
8e11689d453c0cdb10f08a12a84c47dce19ea812
|
[
"MIT"
] | 2
|
2022-03-19T23:17:10.000Z
|
2022-03-22T13:52:20.000Z
|
src/core/auth_pipeline.py
|
bartmanos/sfn
|
8e11689d453c0cdb10f08a12a84c47dce19ea812
|
[
"MIT"
] | 37
|
2022-03-13T22:08:03.000Z
|
2022-03-25T20:07:44.000Z
|
src/core/auth_pipeline.py
|
bartmanos/sfn
|
8e11689d453c0cdb10f08a12a84c47dce19ea812
|
[
"MIT"
] | 1
|
2022-03-19T19:25:11.000Z
|
2022-03-19T19:25:11.000Z
|
def save_user(backend, user, response, *args, **kwargs) -> None:
if user and not user.is_staff:
user.is_staff = True
user.save()
| 29.8
| 64
| 0.624161
| 22
| 149
| 4.090909
| 0.636364
| 0.133333
| 0.244444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.248322
| 149
| 4
| 65
| 37.25
| 0.803571
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0
| 0.25
| 0
| 1
| 0
| 0
| null | 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c103abf30876f6eab5448e2cf2bd81e8304f7c7d
| 53
|
py
|
Python
|
uhl_etl.py
|
LCBRU/no_api_etl
|
80272743047f8a36ede4b092150e3b76c2fb0186
|
[
"MIT"
] | null | null | null |
uhl_etl.py
|
LCBRU/no_api_etl
|
80272743047f8a36ede4b092150e3b76c2fb0186
|
[
"MIT"
] | null | null | null |
uhl_etl.py
|
LCBRU/no_api_etl
|
80272743047f8a36ede4b092150e3b76c2fb0186
|
[
"MIT"
] | null | null | null |
import api.uhl_etl
from runner import run
run()
| 10.6
| 23
| 0.716981
| 9
| 53
| 4.111111
| 0.777778
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.226415
| 53
| 4
| 24
| 13.25
| 0.902439
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c1376605d901bc3c4141687e66267caab3b77f12
| 80
|
py
|
Python
|
aiopenapi3/__main__.py
|
commonism/aiopenapi3
|
3efb0e65fdcdce7408c888df3f4adbad8abb4359
|
[
"BSD-3-Clause"
] | null | null | null |
aiopenapi3/__main__.py
|
commonism/aiopenapi3
|
3efb0e65fdcdce7408c888df3f4adbad8abb4359
|
[
"BSD-3-Clause"
] | 7
|
2022-01-03T19:48:06.000Z
|
2022-03-14T22:01:57.000Z
|
aiopenapi3/__main__.py
|
commonism/aiopenapi3
|
3efb0e65fdcdce7408c888df3f4adbad8abb4359
|
[
"BSD-3-Clause"
] | null | null | null |
import sys
from .cli import main
if __name__ == "__main__":
main(sys.argv)
| 13.333333
| 26
| 0.6875
| 12
| 80
| 3.916667
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 80
| 5
| 27
| 16
| 0.734375
| 0
| 0
| 0
| 0
| 0
| 0.1
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c1814ababcf85722ca717c4015b89b751f124eb1
| 99
|
py
|
Python
|
setup.py
|
eherget/kerlescan
|
19aed245e9b5a470774ee9818f95ab28e9096fcc
|
[
"MIT"
] | null | null | null |
setup.py
|
eherget/kerlescan
|
19aed245e9b5a470774ee9818f95ab28e9096fcc
|
[
"MIT"
] | null | null | null |
setup.py
|
eherget/kerlescan
|
19aed245e9b5a470774ee9818f95ab28e9096fcc
|
[
"MIT"
] | null | null | null |
from distutils.core import setup
setup(name="kerlescan", version="0.1", py_modules=["kerlescan"])
| 24.75
| 64
| 0.747475
| 14
| 99
| 5.214286
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021978
| 0.080808
| 99
| 3
| 65
| 33
| 0.78022
| 0
| 0
| 0
| 0
| 0
| 0.212121
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
c1b835cbc53015d9e0c5685ebdfacf03fb28888a
| 182
|
py
|
Python
|
tests/test_logging/basic_scenes_square_to_circle.py
|
philschatz/manim
|
e3359a571d9a02a08979b3e037ddada3e874eb7c
|
[
"MIT"
] | 9,497
|
2020-05-19T04:05:51.000Z
|
2022-03-31T19:00:02.000Z
|
tests/test_logging/basic_scenes_square_to_circle.py
|
philschatz/manim
|
e3359a571d9a02a08979b3e037ddada3e874eb7c
|
[
"MIT"
] | 2,052
|
2020-05-19T03:35:26.000Z
|
2022-03-31T16:18:06.000Z
|
tests/test_logging/basic_scenes_square_to_circle.py
|
philschatz/manim
|
e3359a571d9a02a08979b3e037ddada3e874eb7c
|
[
"MIT"
] | 1,016
|
2020-05-20T01:16:11.000Z
|
2022-03-30T16:47:14.000Z
|
from manim import *
# This module is used in the CLI tests in tests_CLi.py.
class SquareToCircle(Scene):
def construct(self):
self.play(Transform(Square(), Circle()))
| 20.222222
| 55
| 0.692308
| 26
| 182
| 4.807692
| 0.846154
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.197802
| 182
| 8
| 56
| 22.75
| 0.856164
| 0.291209
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.75
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 4
|
c1d234e7ad04b5aa3c9909e9bb92c7801c51390d
| 66
|
py
|
Python
|
2-3/fizzbuzz.py
|
mttaggart/everlive-python-intro
|
f3502d035c56d2eec7a738b9cdc8445e07ca14f9
|
[
"MIT"
] | null | null | null |
2-3/fizzbuzz.py
|
mttaggart/everlive-python-intro
|
f3502d035c56d2eec7a738b9cdc8445e07ca14f9
|
[
"MIT"
] | null | null | null |
2-3/fizzbuzz.py
|
mttaggart/everlive-python-intro
|
f3502d035c56d2eec7a738b9cdc8445e07ca14f9
|
[
"MIT"
] | null | null | null |
# Define fizzbuzz function
# Do it for a given number of steps
| 11
| 35
| 0.727273
| 11
| 66
| 4.363636
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242424
| 66
| 5
| 36
| 13.2
| 0.96
| 0.878788
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 4
|
c1d9d971d8b10f97701669aae4dab1b0638346b5
| 157
|
py
|
Python
|
waiting/src/lib/mine/sample_python/src/example/test/dummy_test.py
|
rdw20170120/workstation
|
ed19aa930a83885c2a8cb58eb0bb5afe58f95df3
|
[
"MIT"
] | null | null | null |
waiting/src/lib/mine/sample_python/src/example/test/dummy_test.py
|
rdw20170120/workstation
|
ed19aa930a83885c2a8cb58eb0bb5afe58f95df3
|
[
"MIT"
] | 2
|
2021-04-06T18:07:32.000Z
|
2021-06-02T01:50:40.000Z
|
waiting/src/lib/mine/sample_python/src/example/test/dummy_test.py
|
rdw20170120/workstation
|
ed19aa930a83885c2a8cb58eb0bb5afe58f95df3
|
[
"MIT"
] | null | null | null |
""" Dummy tests
"""
def test_pass():
"""Test nothing at all (well, "pass" anyway)."""
pass
def test_true():
"""Test True."""
assert True
| 12.076923
| 52
| 0.547771
| 20
| 157
| 4.2
| 0.6
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.254777
| 157
| 12
| 53
| 13.083333
| 0.717949
| 0.414013
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25
| 1
| 0.5
| true
| 0.5
| 0
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
|
0
| 4
|
de01aa30f4109ed7745ed61580a912fea29f4b04
| 63
|
py
|
Python
|
run.py
|
Midas0615/react-flask-E-commerce
|
0d18409e9b58363b8035cce96b930602ec648fbd
|
[
"MIT"
] | 54
|
2017-08-22T05:59:11.000Z
|
2021-09-28T06:48:23.000Z
|
run.py
|
Midas0615/react-flask-E-commerce
|
0d18409e9b58363b8035cce96b930602ec648fbd
|
[
"MIT"
] | 5
|
2021-02-08T20:14:18.000Z
|
2021-12-13T19:36:25.000Z
|
run.py
|
Midas0615/react-flask-E-commerce
|
0d18409e9b58363b8035cce96b930602ec648fbd
|
[
"MIT"
] | 30
|
2017-10-24T19:36:17.000Z
|
2021-11-03T04:41:50.000Z
|
from app import webapp
webapp.run(host='0.0.0.0', debug=True)
| 15.75
| 38
| 0.714286
| 13
| 63
| 3.461538
| 0.692308
| 0.133333
| 0.133333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.071429
| 0.111111
| 63
| 3
| 39
| 21
| 0.732143
| 0
| 0
| 0
| 0
| 0
| 0.112903
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 4
|
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