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int64
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string
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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)
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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]
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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()
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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
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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
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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
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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), ), ]
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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')
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1e39202960863ac84c721138a1a62acb6e847d34
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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
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0.763033
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211
8.210526
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8
61
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0
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1
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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
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0.131579
0.136364
44
2
24
22
0.447368
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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
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0.006803
0.222222
189
10
65
18.9
0.857143
0.428571
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0
true
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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
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0
0.20438
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1
0
false
0
0.25
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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
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0.131579
0
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0
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1
0
false
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0
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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
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0
0.218391
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0
1
0.25
true
0
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0.25
1
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null
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0
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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
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0
0
0
0
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0
0
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null
0
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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
0
0
0
0
0
0
0
0
0.058824
0.042254
71
1
71
71
0.823529
0
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0
0.661972
0.661972
0
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0
false
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0
null
0
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1
0
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1
1
null
0
0
0
0
0
0
0
0
0
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
0
0
0
0
0
0
0
0
0
0
0
0.157895
38
1
38
38
0.75
0.763158
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
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0
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0
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1
0
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0
null
0
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0
0
0
1
0
0
0
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
0
0
0
0
0
0
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0
0
0
0
0
1
0
false
0
0.714286
0
0.714286
0
0
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null
1
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0
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0
0
0
0
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1
0
0
0
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0
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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
0
0
0
0
0
0
0
0
0
0
0.105263
209
8
55
26.125
0.882353
0
0
0
0
0
0.038278
0
0
0
0
0
0
1
0
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
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
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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)
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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)
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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'
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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
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44fa232431252b465c02bc1391da70d7a159d203
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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
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44fca6cd6671636214df7f4a3944403755c27ea1
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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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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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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! 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\x00\x69\x00\x73\x00\x6b\x00\x2d\x00\x31\x00\x36\x00\x2e\x00\x70\x00\x6e\x00\x67\ \x00\x13\ \x0d\x4d\x9c\x47\ \x00\x66\ \x00\x6f\x00\x6c\x00\x64\x00\x65\x00\x72\x00\x2d\x00\x2d\x00\x70\x00\x6c\x00\x75\x00\x73\x00\x2d\x00\x31\x00\x36\x00\x2e\x00\x70\ \x00\x6e\x00\x67\ \x00\x13\ \x0d\x53\x9c\x47\ \x00\x66\ \x00\x6f\x00\x6c\x00\x64\x00\x65\x00\x72\x00\x2d\x00\x2d\x00\x70\x00\x6c\x00\x75\x00\x73\x00\x2d\x00\x32\x00\x34\x00\x2e\x00\x70\ \x00\x6e\x00\x67\ \x00\x1b\ \x05\x21\x65\xe7\ \x00\x66\ \x00\x6f\x00\x6c\x00\x64\x00\x65\x00\x72\x00\x2d\x00\x6f\x00\x70\x00\x65\x00\x6e\x00\x2d\x00\x64\x00\x6f\x00\x63\x00\x75\x00\x6d\ \x00\x65\x00\x6e\x00\x74\x00\x2d\x00\x31\x00\x36\x00\x2e\x00\x70\x00\x6e\x00\x67\ \x00\x1b\ \x05\x3f\x65\xe7\ \x00\x66\ \x00\x6f\x00\x6c\x00\x64\x00\x65\x00\x72\x00\x2d\x00\x6f\x00\x70\x00\x65\x00\x6e\x00\x2d\x00\x64\x00\x6f\x00\x63\x00\x75\x00\x6d\ \x00\x65\x00\x6e\x00\x74\x00\x2d\x00\x32\x00\x34\x00\x2e\x00\x70\x00\x6e\x00\x67\ " qt_resource_struct_v1 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x12\x00\x02\x00\x00\x00\x0b\x00\x00\x00\x03\ \x00\x00\x00\xb0\x00\x00\x00\x00\x00\x01\x00\x00\x09\xf8\ \x00\x00\x00\xe8\x00\x00\x00\x00\x00\x01\x00\x00\x13\x24\ \x00\x00\x01\x04\x00\x00\x00\x00\x00\x01\x00\x00\x33\xbb\ \x00\x00\x00\x40\x00\x00\x00\x00\x00\x01\x00\x00\x02\x24\ \x00\x00\x00\x78\x00\x00\x00\x00\x00\x01\x00\x00\x04\x95\ \x00\x00\x01\x78\x00\x00\x00\x00\x00\x01\x00\x00\x59\xce\ \x00\x00\x01\xb4\x00\x00\x00\x00\x00\x01\x00\x00\x5c\x77\ \x00\x00\x00\xca\x00\x00\x00\x00\x00\x01\x00\x00\x0c\xad\ \x00\x00\x00\x22\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x20\x00\x00\x00\x00\x00\x01\x00\x00\x35\xba\ \x00\x00\x01\x4c\x00\x00\x00\x00\x00\x01\x00\x00\x38\x0b\ " qt_resource_struct_v2 = b"\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x01\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x00\x00\x02\x00\x00\x00\x01\x00\x00\x00\x02\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\x12\x00\x02\x00\x00\x00\x0b\x00\x00\x00\x03\ \x00\x00\x00\x00\x00\x00\x00\x00\ \x00\x00\x00\xb0\x00\x00\x00\x00\x00\x01\x00\x00\x09\xf8\ \x00\x00\x01\x21\x2b\x70\xe7\x00\ \x00\x00\x00\xe8\x00\x00\x00\x00\x00\x01\x00\x00\x13\x24\ \x00\x00\x01\x75\x0f\x4f\xbf\x70\ \x00\x00\x01\x04\x00\x00\x00\x00\x00\x01\x00\x00\x33\xbb\ \x00\x00\x01\x21\x2b\x70\x33\x50\ \x00\x00\x00\x40\x00\x00\x00\x00\x00\x01\x00\x00\x02\x24\ \x00\x00\x01\x74\xf8\xe4\xd7\x48\ \x00\x00\x00\x78\x00\x00\x00\x00\x00\x01\x00\x00\x04\x95\ \x00\x00\x01\x74\xf8\xe4\xd7\x48\ \x00\x00\x01\x78\x00\x00\x00\x00\x00\x01\x00\x00\x59\xce\ \x00\x00\x01\x74\xf8\xe4\xd7\x48\ \x00\x00\x01\xb4\x00\x00\x00\x00\x00\x01\x00\x00\x5c\x77\ \x00\x00\x01\x74\xf8\xe4\xd7\x48\ \x00\x00\x00\xca\x00\x00\x00\x00\x00\x01\x00\x00\x0c\xad\ \x00\x00\x01\x74\xf8\xe4\xd7\x48\ \x00\x00\x00\x22\x00\x00\x00\x00\x00\x01\x00\x00\x00\x00\ \x00\x00\x01\x74\xf8\xe4\xd7\x48\ \x00\x00\x01\x20\x00\x00\x00\x00\x00\x01\x00\x00\x35\xba\ \x00\x00\x01\x25\x16\x43\x58\x50\ \x00\x00\x01\x4c\x00\x00\x00\x00\x00\x01\x00\x00\x38\x0b\ \x00\x00\x01\x75\x17\x56\xa2\x38\ " 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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false
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4
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
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0.305099
7,296
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false
0
0.018779
0.018779
0.13615
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null
0
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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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0.072727
55
1
55
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0.862745
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true
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0
1
0
1
0
0
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
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253
5.076923
0.410256
0.151515
0.212121
0.30303
0.409091
0
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0.063241
253
5
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0
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0
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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
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1
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0
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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
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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()
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1
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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)
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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
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1
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0
0
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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
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0
0
0
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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
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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))
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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()
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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
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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"
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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
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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)
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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
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25
3.166667
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ecf199fa752679c48ab890956828f4b6315c382f
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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)
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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)
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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
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01d43a1367d62f711952b5fd1f2dc638532f5aab
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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 *
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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
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5.848837
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0.151093
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0
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0
1
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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
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0.151899
1
0.091772
false
0
0.031646
0
0.14557
0
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null
0
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1
1
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0
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
0
0
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0.205674
423
17
58
24.882353
0.895833
0.600473
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0.333333
false
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0.333333
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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
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null
0
0
1
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1
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0
0
1
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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
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0
0.085938
256
5
203
51.2
0.649573
0
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0
0.315175
0
0
0
0
0
0
1
0
false
0
0.2
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0.2
0.4
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null
1
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null
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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
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null
0
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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
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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)
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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)
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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
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167
4.666667
0.625
0.142857
0.178571
0.196429
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0.015385
0.221557
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15.181818
0.846154
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1
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true
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0.142857
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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)
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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
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da0be4f7d28af0fc17a8647f2c5e38192bbe4dfc
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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']
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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
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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)
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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"
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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)
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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 """
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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
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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
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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'
17.9
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0.166667
false
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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
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0.227273
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true
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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", "nains", "vizir", "flair", "emane", "cerfs", "penal", "tango", "boche", "putes", "aises", "vibre", "couve", "evade", "usees", "secte", "salir", "pardi", "jauge", "aidee", "furie", "puant", "arene", "cales", "mures", "payee", "rente", "noues", "yacht", "miche", "exile", "gerer", "crues", "verni", "vanne", "lacet", "beche", "hetre", "verge", "ouate", "enfle", "tater", "verve", "totem", "reche", "bocal", "miles", "harpe", "roder", "vises", "osant", "semer", "empli", "troue", "nouee", "ornes", "tyran", "suave", "pater", "grues", "joncs", "nanas", "plies", "vains", "liant", "layon", "loyal", "graal", "tisse", "renie", "doter", "tares", "moisi", "verne", "rhume", "radis", "floue", "rance", "emise", "trier", "juche", "tabou", "appat", "faste", "magma", "reagi", "ledit", "gages", "fleau", "squaw", "sonde", "jante", "buche", "venge", "toles", "blase", "cabas", "gemme", "drape", "fendu", "renom", "niais", "ponte", "combe", "obeis", "sahel", "surin", "mules", "bossu", "bagne", "flash", "motte", 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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']
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32
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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)
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00666ab30bf2118bca3dfb2d2c3b289ef1a704df
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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
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11
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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> """
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009a9c57dd383eb213cf4788ccad40025ab68ad9
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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'
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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',)}
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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. """
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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
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daf3a85a9282861b8240594564dfb0557a7d916e
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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)
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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
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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
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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)
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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
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0.746575
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146
4.590909
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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
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549
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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'
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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()
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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
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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! """
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8afacbb9b72283054d6759d79dc94199ad720e69
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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'
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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()
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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()
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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)
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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"])
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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
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8
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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
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0.727273
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66
4.363636
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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
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0.547771
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4.2
0.6
0.166667
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12
53
13.083333
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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)
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