hexsha
string | size
int64 | ext
string | lang
string | max_stars_repo_path
string | max_stars_repo_name
string | max_stars_repo_head_hexsha
string | max_stars_repo_licenses
list | max_stars_count
int64 | max_stars_repo_stars_event_min_datetime
string | max_stars_repo_stars_event_max_datetime
string | max_issues_repo_path
string | max_issues_repo_name
string | max_issues_repo_head_hexsha
string | max_issues_repo_licenses
list | max_issues_count
int64 | max_issues_repo_issues_event_min_datetime
string | max_issues_repo_issues_event_max_datetime
string | max_forks_repo_path
string | max_forks_repo_name
string | max_forks_repo_head_hexsha
string | max_forks_repo_licenses
list | max_forks_count
int64 | max_forks_repo_forks_event_min_datetime
string | max_forks_repo_forks_event_max_datetime
string | content
string | avg_line_length
float64 | max_line_length
int64 | alphanum_fraction
float64 | qsc_code_num_words_quality_signal
int64 | qsc_code_num_chars_quality_signal
float64 | qsc_code_mean_word_length_quality_signal
float64 | qsc_code_frac_words_unique_quality_signal
float64 | qsc_code_frac_chars_top_2grams_quality_signal
float64 | qsc_code_frac_chars_top_3grams_quality_signal
float64 | qsc_code_frac_chars_top_4grams_quality_signal
float64 | qsc_code_frac_chars_dupe_5grams_quality_signal
float64 | qsc_code_frac_chars_dupe_6grams_quality_signal
float64 | qsc_code_frac_chars_dupe_7grams_quality_signal
float64 | qsc_code_frac_chars_dupe_8grams_quality_signal
float64 | qsc_code_frac_chars_dupe_9grams_quality_signal
float64 | qsc_code_frac_chars_dupe_10grams_quality_signal
float64 | qsc_code_frac_chars_replacement_symbols_quality_signal
float64 | qsc_code_frac_chars_digital_quality_signal
float64 | qsc_code_frac_chars_whitespace_quality_signal
float64 | qsc_code_size_file_byte_quality_signal
float64 | qsc_code_num_lines_quality_signal
float64 | qsc_code_num_chars_line_max_quality_signal
float64 | qsc_code_num_chars_line_mean_quality_signal
float64 | qsc_code_frac_chars_alphabet_quality_signal
float64 | qsc_code_frac_chars_comments_quality_signal
float64 | qsc_code_cate_xml_start_quality_signal
float64 | qsc_code_frac_lines_dupe_lines_quality_signal
float64 | qsc_code_cate_autogen_quality_signal
float64 | qsc_code_frac_lines_long_string_quality_signal
float64 | qsc_code_frac_chars_string_length_quality_signal
float64 | qsc_code_frac_chars_long_word_length_quality_signal
float64 | qsc_code_frac_lines_string_concat_quality_signal
float64 | qsc_code_cate_encoded_data_quality_signal
float64 | qsc_code_frac_chars_hex_words_quality_signal
float64 | qsc_code_frac_lines_prompt_comments_quality_signal
float64 | qsc_code_frac_lines_assert_quality_signal
float64 | qsc_codepython_cate_ast_quality_signal
float64 | qsc_codepython_frac_lines_func_ratio_quality_signal
float64 | qsc_codepython_cate_var_zero_quality_signal
bool | qsc_codepython_frac_lines_pass_quality_signal
float64 | qsc_codepython_frac_lines_import_quality_signal
float64 | qsc_codepython_frac_lines_simplefunc_quality_signal
float64 | qsc_codepython_score_lines_no_logic_quality_signal
float64 | qsc_codepython_frac_lines_print_quality_signal
float64 | qsc_code_num_words
int64 | qsc_code_num_chars
int64 | qsc_code_mean_word_length
int64 | qsc_code_frac_words_unique
null | qsc_code_frac_chars_top_2grams
int64 | qsc_code_frac_chars_top_3grams
int64 | qsc_code_frac_chars_top_4grams
int64 | qsc_code_frac_chars_dupe_5grams
int64 | qsc_code_frac_chars_dupe_6grams
int64 | qsc_code_frac_chars_dupe_7grams
int64 | qsc_code_frac_chars_dupe_8grams
int64 | qsc_code_frac_chars_dupe_9grams
int64 | qsc_code_frac_chars_dupe_10grams
int64 | qsc_code_frac_chars_replacement_symbols
int64 | qsc_code_frac_chars_digital
int64 | qsc_code_frac_chars_whitespace
int64 | qsc_code_size_file_byte
int64 | qsc_code_num_lines
int64 | qsc_code_num_chars_line_max
int64 | qsc_code_num_chars_line_mean
int64 | qsc_code_frac_chars_alphabet
int64 | qsc_code_frac_chars_comments
int64 | qsc_code_cate_xml_start
int64 | qsc_code_frac_lines_dupe_lines
int64 | qsc_code_cate_autogen
int64 | qsc_code_frac_lines_long_string
int64 | qsc_code_frac_chars_string_length
int64 | qsc_code_frac_chars_long_word_length
int64 | qsc_code_frac_lines_string_concat
null | qsc_code_cate_encoded_data
int64 | qsc_code_frac_chars_hex_words
int64 | qsc_code_frac_lines_prompt_comments
int64 | qsc_code_frac_lines_assert
int64 | qsc_codepython_cate_ast
int64 | qsc_codepython_frac_lines_func_ratio
int64 | qsc_codepython_cate_var_zero
int64 | qsc_codepython_frac_lines_pass
int64 | qsc_codepython_frac_lines_import
int64 | qsc_codepython_frac_lines_simplefunc
int64 | qsc_codepython_score_lines_no_logic
int64 | qsc_codepython_frac_lines_print
int64 | effective
string | hits
int64 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
6dec948a6fe6c2e2c800839b880bad85b5a6dfd3
| 96
|
py
|
Python
|
venv/lib/python3.8/site-packages/cryptography/hazmat/primitives/asymmetric/ed448.py
|
Retraces/UkraineBot
|
3d5d7f8aaa58fa0cb8b98733b8808e5dfbdb8b71
|
[
"MIT"
] | 2
|
2022-03-13T01:58:52.000Z
|
2022-03-31T06:07:54.000Z
|
venv/lib/python3.8/site-packages/cryptography/hazmat/primitives/asymmetric/ed448.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | 19
|
2021-11-20T04:09:18.000Z
|
2022-03-23T15:05:55.000Z
|
venv/lib/python3.8/site-packages/cryptography/hazmat/primitives/asymmetric/ed448.py
|
DesmoSearch/Desmobot
|
b70b45df3485351f471080deb5c785c4bc5c4beb
|
[
"MIT"
] | null | null | null |
/home/runner/.cache/pip/pool/a1/1f/a3/e2319c5949c6c568b51b2807c5565b82448e287b11eb2d44dcb7fac183
| 96
| 96
| 0.895833
| 9
| 96
| 9.555556
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.4375
| 0
| 96
| 1
| 96
| 96
| 0.458333
| 0
| 0
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| null | null | 0
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| null | 0
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| null | 1
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| 0
| 0
| 0
| 0
|
0
| 6
|
096fcd42c6d9f08d5d089e2c6170449d67a02488
| 4,290
|
py
|
Python
|
deprecated/examples/simnet_bow/py_reader_generator.py
|
hutuxian/FleetX
|
843c7aa33f5a14680becf058a3aaf0327eefafd4
|
[
"Apache-2.0"
] | 170
|
2020-08-12T12:07:01.000Z
|
2022-03-07T02:38:26.000Z
|
deprecated/examples/simnet_bow/py_reader_generator.py
|
hutuxian/FleetX
|
843c7aa33f5a14680becf058a3aaf0327eefafd4
|
[
"Apache-2.0"
] | 195
|
2020-08-13T03:22:15.000Z
|
2022-03-30T07:40:25.000Z
|
deprecated/examples/simnet_bow/py_reader_generator.py
|
hutuxian/FleetX
|
843c7aa33f5a14680becf058a3aaf0327eefafd4
|
[
"Apache-2.0"
] | 67
|
2020-08-14T02:07:46.000Z
|
2022-03-28T10:05:33.000Z
|
#!/usr/bin/python
# Copyright (c) 2019 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# There are 13 integer features and 26 categorical features
import random
def combination(x, y):
res = [[[xi, yi] for yi in y] for xi in x]
return res[0]
def get_one_data(file_list, sample_rate):
for file in file_list:
contents = []
with open(file, "r") as fin:
for q in fin.readlines():
"""query_ids, pos_title_ids, neg_title_ids, label"""
one_data = q.split(";")[:-1]
if len(one_data) < 4:
print("data format error!, please check!", q)
continue
label = int(one_data[0])
pos_title_num, neg_title_num = int(one_data[1].split(" ")[0]), int(one_data[1].split(" ")[1])
query_ids = [int(x) for x in one_data[2].split(" ")]
if pos_title_num + neg_title_num != len(one_data) - 3:
print("data format error, pos_title_num={}, neg_title_num={}, one_data={}"
.format(pos_title_num, neg_title_num, len(one_data)))
continue
for x in range(pos_title_num):
pos_title_ids = [ int(i) for i in one_data[3+x].split(" ")]
for y in range(neg_title_num):
if random.random() > sample_rate:
continue
neg_title_ids = [int(i) for i in one_data[3+pos_title_num+y].split(" ")]
yield [query_ids, pos_title_ids, neg_title_ids, [label]]
fin.close()
def get_batch_reader(file_list, batch_size=128, sample_rate=0.02, trainer_id=1):
def batch_reader():
res = []
idx = 0
for i in get_one_data(file_list, sample_rate):
res.append(i)
idx += 1
if len(res) >= batch_size:
yield res
res = []
return batch_reader
def get_infer_data(file_list, sample_rate):
for file in file_list:
contents = []
with open(file, "r") as fin:
for q in fin.readlines():
"""query_ids, pos_title_ids, neg_title_ids, label"""
one_data = q.split(";")[:-1]
if len(one_data) < 4:
print("data format error!, please check!",q)
continue
label = int(one_data[0])
pos_title_num, neg_title_num = int(one_data[1].split(" ")[0]), int(one_data[1].split(" ")[1])
query_ids = [int(x) for x in one_data[2].split(" ")]
if pos_title_num + neg_title_num != len(one_data) - 3:
print("data format error, pos_title_num={}, neg_title_num={}, one_data={}"
.format(pos_title_num,neg_title_num,len(one_data)))
continue
for x in range(pos_title_num):
pos_title_ids = [int(i) for i in one_data[3 + x].split(" ")]
for y in range(neg_title_num):
if random.random() > sample_rate:
continue
neg_title_ids = [int(i) for i in one_data[3 + pos_title_num + y].split(" ")]
yield [query_ids, pos_title_ids, neg_title_ids]
fin.close()
def get_infer_batch_reader(file_list, batch_size=128, sample_rate=0.02, trainer_id=1):
def batch_reader():
res = []
idx = 0
for i in get_infer_data(file_list, sample_rate):
res.append(i)
idx += 1
if len(res) >= batch_size:
yield res
res = []
return batch_reader
| 39
| 109
| 0.545221
| 584
| 4,290
| 3.773973
| 0.22774
| 0.076225
| 0.059891
| 0.050817
| 0.715517
| 0.715517
| 0.715517
| 0.705535
| 0.705535
| 0.703267
| 0
| 0.018895
| 0.346154
| 4,290
| 109
| 110
| 39.357798
| 0.766845
| 0.15338
| 0
| 0.837838
| 0
| 0
| 0.060364
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.094595
| false
| 0
| 0.013514
| 0
| 0.148649
| 0.054054
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| null | 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
09992545064487f403e07c0d5592b982f3bafe39
| 212
|
py
|
Python
|
projetos/admin.py
|
siqueiralex/SistemaComissaoVoluntario
|
1a4ba8fd37d5182156e7bb4c4204845df2707fd1
|
[
"MIT"
] | null | null | null |
projetos/admin.py
|
siqueiralex/SistemaComissaoVoluntario
|
1a4ba8fd37d5182156e7bb4c4204845df2707fd1
|
[
"MIT"
] | null | null | null |
projetos/admin.py
|
siqueiralex/SistemaComissaoVoluntario
|
1a4ba8fd37d5182156e7bb4c4204845df2707fd1
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Cronograma)
admin.site.register(Atividade)
admin.site.register(EfetivoDiario)
admin.site.register(Unidade)
| 23.555556
| 34
| 0.816038
| 28
| 212
| 6.178571
| 0.5
| 0.208092
| 0.393064
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.084906
| 212
| 9
| 35
| 23.555556
| 0.891753
| 0.122642
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
099ad8518dad1d6a3df7458747dcb5b82bba5c36
| 42
|
py
|
Python
|
piecewise/monitor/__init__.py
|
jtbish/piecewise
|
d27e095e298698d83901bfd1236e0e0669261136
|
[
"MIT"
] | 3
|
2019-12-04T02:28:08.000Z
|
2022-02-02T13:13:36.000Z
|
piecewise/monitor/__init__.py
|
jtbish/piecewise
|
d27e095e298698d83901bfd1236e0e0669261136
|
[
"MIT"
] | 5
|
2020-01-15T04:33:36.000Z
|
2021-03-26T14:58:47.000Z
|
piecewise/monitor/__init__.py
|
jtbish/piecewise
|
d27e095e298698d83901bfd1236e0e0669261136
|
[
"MIT"
] | 1
|
2020-06-04T08:55:27.000Z
|
2020-06-04T08:55:27.000Z
|
from .monitor import Monitor, NullMonitor
| 21
| 41
| 0.833333
| 5
| 42
| 7
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119048
| 42
| 1
| 42
| 42
| 0.945946
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
09b13a36abe13835dfcebaecd4290e8a9855957c
| 180
|
py
|
Python
|
{{cookiecutter.package_name}}/{{cookiecutter.package_name}}/user/views.py
|
cmeadows/fbone-marrow
|
0c69bcafbe21c48641cc9759f2a959b9b7881ce3
|
[
"BSD-3-Clause"
] | null | null | null |
{{cookiecutter.package_name}}/{{cookiecutter.package_name}}/user/views.py
|
cmeadows/fbone-marrow
|
0c69bcafbe21c48641cc9759f2a959b9b7881ce3
|
[
"BSD-3-Clause"
] | null | null | null |
{{cookiecutter.package_name}}/{{cookiecutter.package_name}}/user/views.py
|
cmeadows/fbone-marrow
|
0c69bcafbe21c48641cc9759f2a959b9b7881ce3
|
[
"BSD-3-Clause"
] | 1
|
2020-04-25T14:01:26.000Z
|
2020-04-25T14:01:26.000Z
|
from flask import Blueprint, render_template
user = Blueprint('user', __name__, url_prefix='/user')
@user.route('/')
def index():
return render_template('user/index.html')
| 18
| 54
| 0.716667
| 23
| 180
| 5.304348
| 0.652174
| 0.229508
| 0.295082
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.127778
| 180
| 9
| 55
| 20
| 0.77707
| 0
| 0
| 0
| 0
| 0
| 0.138889
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.2
| 0.2
| 0.6
| 0.4
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
09b58c244a12073f6fbe4f057a9cdb4f58a173fa
| 98
|
py
|
Python
|
zipline/modelling/classifier.py
|
michaeljohnbennett/zipline
|
29321af1b472d72b759a71c9f5ba341109fc0e6d
|
[
"Apache-2.0"
] | 1
|
2015-10-22T03:38:19.000Z
|
2015-10-22T03:38:19.000Z
|
zipline/modelling/classifier.py
|
michaeljohnbennett/zipline
|
29321af1b472d72b759a71c9f5ba341109fc0e6d
|
[
"Apache-2.0"
] | null | null | null |
zipline/modelling/classifier.py
|
michaeljohnbennett/zipline
|
29321af1b472d72b759a71c9f5ba341109fc0e6d
|
[
"Apache-2.0"
] | null | null | null |
"""
classifier.py
"""
from zipline.modelling.term import Term
class Classifier(Term):
pass
| 9.8
| 39
| 0.704082
| 12
| 98
| 5.75
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.173469
| 98
| 9
| 40
| 10.888889
| 0.851852
| 0.132653
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
116897ffba2caba35db0ce442d80a7df19e49b10
| 11,412
|
py
|
Python
|
psydac/api/tests/test_api_feec_3d.py
|
mayuri-dhote/psydac
|
01ddbe2d049a599684c45060912d01c2658160a3
|
[
"MIT"
] | 20
|
2019-07-30T12:37:57.000Z
|
2022-03-09T11:35:04.000Z
|
psydac/api/tests/test_api_feec_3d.py
|
mayuri-dhote/psydac
|
01ddbe2d049a599684c45060912d01c2658160a3
|
[
"MIT"
] | 98
|
2019-04-01T16:32:27.000Z
|
2022-03-21T19:30:35.000Z
|
psydac/api/tests/test_api_feec_3d.py
|
mayuri-dhote/psydac
|
01ddbe2d049a599684c45060912d01c2658160a3
|
[
"MIT"
] | 7
|
2019-10-03T03:49:47.000Z
|
2022-03-01T09:11:49.000Z
|
# -*- coding: UTF-8 -*-
from sympde.topology import Mapping
from sympde.calculus import grad, dot
from sympde.calculus import laplace
from sympde.topology import ScalarFunctionSpace
from sympde.topology import elements_of
from sympde.topology import NormalVector
from sympde.topology import Cube, Derham
from sympde.topology import Union
from sympde.expr import BilinearForm, LinearForm, integral
from sympde.expr import Norm
from sympde.expr import find, EssentialBC
from psydac.fem.basic import FemField
from psydac.api.discretization import discretize
from psydac.feec.pull_push import push_3d_hcurl, push_3d_hdiv
from psydac.api.settings import PSYDAC_BACKEND_GPYCCEL, PSYDAC_BACKEND_NUMBA
from psydac.linalg.utilities import array_to_stencil
from psydac.linalg.iterative_solvers import cg
from mpi4py import MPI
import pytest
import numpy as np
import scipy as sc
#===============================================================================
def splitting_integrator_scipy(e0, b0, M1, M2, CURL, dt, niter):
CURL_T = CURL.T
M1_solver = sc.sparse.linalg.splu(M1)
def M1CM2_dot(b):
y1 = M2.dot(b)
y2 = CURL_T.dot(y1)
return M1_solver.solve(y2)
e_history = [e0]
b_history = [b0]
for ts in range(niter):
b = b_history[ts]
e = e_history[ts]
b_new = b - dt * CURL.dot(e)
e_new = e + dt * M1CM2_dot(b_new)
b_history.append(b_new)
e_history.append(e_new)
return e_history, b_history
def splitting_integrator_stencil(e0, b0, M1, M2, CURL, dt, niter):
CURL_T = CURL.transpose()
def M1CM2_dot(b):
y1 = M2.dot(b)
y2 = CURL_T.dot(y1)
return cg(M1, y2, tol=1e-12)[0]
e_history = [e0]
b_history = [b0]
for ts in range(niter):
b = b_history[ts]
e = e_history[ts]
b_new = b - dt * CURL.dot(e)
e_new = e + dt * M1CM2_dot(b_new)
b_history.append(b_new)
e_history.append(e_new)
return e_history, b_history
def evaluation_all_times(fields, x, y, z):
ak_value = np.empty(len(fields), dtype = 'float')
for i in range(len(fields)):
ak_value[i] = fields[i](x,y,z)
return ak_value
#==================================================================================
def run_maxwell_3d_scipy(logical_domain, mapping, e_ex, b_ex, ncells, degree, periodic, dt, niter):
domain = mapping(logical_domain)
derham = Derham(domain)
u0, v0 = elements_of(derham.V0, names='u0, v0')
u1, v1 = elements_of(derham.V1, names='u1, v1')
u2, v2 = elements_of(derham.V2, names='u2, v2')
u3, v3 = elements_of(derham.V3, names='u3, v3')
a0 = BilinearForm((u0, v0), integral(domain, u0*v0))
a1 = BilinearForm((u1, v1), integral(domain, dot(u1, v1)))
a2 = BilinearForm((u2, v2), integral(domain, dot(u2, v2)))
a3 = BilinearForm((u3, v3), integral(domain, u3*v3))
#==============================================================================
# Discrete objects: Psydac
domain_h = discretize(domain, ncells=ncells, comm=MPI.COMM_WORLD)
derham_h = discretize(derham, domain_h, degree=degree, periodic=periodic)
a1_h = discretize(a1, domain_h, (derham_h.V1, derham_h.V1), backend=PSYDAC_BACKEND_GPYCCEL)
a2_h = discretize(a2, domain_h, (derham_h.V2, derham_h.V2), backend=PSYDAC_BACKEND_GPYCCEL)
# StencilMatrix objects
M1 = a1_h.assemble().tosparse().tocsc()
M2 = a2_h.assemble().tosparse().tocsr()
# Diff operators
GRAD, CURL, DIV = derham_h.derivatives_as_matrices
# Porjectors
P0, P1, P2, P3 = derham_h.projectors(nquads=[5,5,5])
CURL = CURL.transform(lambda block: block.tokronstencil().tostencil()).tomatrix().tosparse().tocsr()
# initial conditions
e0_1 = lambda x, y, z: e_ex[0](0, x, y, z)
e0_2 = lambda x, y, z: e_ex[1](0, x, y, z)
e0_3 = lambda x, y, z: e_ex[2](0, x, y, z)
e0 = (e0_1, e0_2, e0_3)
b0_1 = lambda x, y, z : b_ex[0](0, x, y, z)
b0_2 = lambda x, y, z : b_ex[1](0, x, y, z)
b0_3 = lambda x, y, z : b_ex[2](0, x, y, z)
b0 = (b0_1, b0_2, b0_3)
# project initial conditions
e0_coeff = P1(e0).coeffs
b0_coeff = P2(b0).coeffs
# time integrator
e_history, b_history = splitting_integrator_scipy(e0_coeff.toarray(), b0_coeff.toarray(), M1, M2, CURL, dt, niter)
# study of fields
b_history = [array_to_stencil(bi, derham_h.V2.vector_space) for bi in b_history]
b_fields = [FemField(derham_h.V2, bi).fields for bi in b_history]
bx_fields = [bi[0] for bi in b_fields]
by_fields = [bi[1] for bi in b_fields]
bz_fields = [bi[2] for bi in b_fields]
bx_value_fun = lambda x, y, z: evaluation_all_times(bx_fields, x, y, z)
by_value_fun = lambda x, y, z: evaluation_all_times(by_fields, x, y, z)
bz_value_fun = lambda x, y, z: evaluation_all_times(bz_fields, x, y, z)
x,y,z = derham_h.V0.breaks
x, y = 0.5, 0.5
b_values_0 = []
for zi in z:
b_value_phys = push_3d_hdiv(bx_value_fun, by_value_fun, bz_value_fun, x, y, zi, mapping)
b_values_0.append(b_value_phys[0])
b_values_0 = np.array(b_values_0)
time_array = np.linspace(0, dt*niter, niter + 1)
tt, zz = np.meshgrid(time_array, z)
b_ex_values_0 = b_ex[0](tt, x, y, zz)
error = abs(b_values_0-b_ex_values_0).max()
return error
#==================================================================================
def run_maxwell_3d_stencil(logical_domain, mapping, e_ex, b_ex, ncells, degree, periodic, dt, niter):
domain = mapping(logical_domain)
derham = Derham(domain)
u0, v0 = elements_of(derham.V0, names='u0, v0')
u1, v1 = elements_of(derham.V1, names='u1, v1')
u2, v2 = elements_of(derham.V2, names='u2, v2')
u3, v3 = elements_of(derham.V3, names='u3, v3')
a0 = BilinearForm((u0, v0), integral(domain, u0*v0))
a1 = BilinearForm((u1, v1), integral(domain, dot(u1, v1)))
a2 = BilinearForm((u2, v2), integral(domain, dot(u2, v2)))
a3 = BilinearForm((u3, v3), integral(domain, u3*v3))
#==============================================================================
# Discrete objects: Psydac
domain_h = discretize(domain, ncells=ncells, comm=MPI.COMM_WORLD)
derham_h = discretize(derham, domain_h, degree=degree, periodic=periodic)
a1_h = discretize(a1, domain_h, (derham_h.V1, derham_h.V1), backend=PSYDAC_BACKEND_GPYCCEL)
a2_h = discretize(a2, domain_h, (derham_h.V2, derham_h.V2), backend=PSYDAC_BACKEND_GPYCCEL)
# StencilMatrix objects
M1 = a1_h.assemble()
M2 = a2_h.assemble()
# Diff operators
GRAD, CURL, DIV = derham_h.derivatives_as_matrices
# Porjectors
P0, P1, P2, P3 = derham_h.projectors(nquads=[5,5,5])
# initial conditions
e0_1 = lambda x, y, z: e_ex[0](0, x, y, z)
e0_2 = lambda x, y, z: e_ex[1](0, x, y, z)
e0_3 = lambda x, y, z: e_ex[2](0, x, y, z)
e0 = (e0_1, e0_2, e0_3)
b0_1 = lambda x, y, z : b_ex[0](0, x, y, z)
b0_2 = lambda x, y, z : b_ex[1](0, x, y, z)
b0_3 = lambda x, y, z : b_ex[2](0, x, y, z)
b0 = (b0_1, b0_2, b0_3)
# project initial conditions
e0_coeff = P1(e0).coeffs
b0_coeff = P2(b0).coeffs
# time integrator
e_history, b_history = splitting_integrator_stencil(e0_coeff, b0_coeff, M1, M2, CURL, dt, niter)
# study of fields
b_fields = [FemField(derham_h.V2, bi).fields for bi in b_history]
bx_fields = [bi[0] for bi in b_fields]
by_fields = [bi[1] for bi in b_fields]
bz_fields = [bi[2] for bi in b_fields]
bx_value_fun = lambda x, y, z: evaluation_all_times(bx_fields, x, y, z)
by_value_fun = lambda x, y, z: evaluation_all_times(by_fields, x, y, z)
bz_value_fun = lambda x, y, z: evaluation_all_times(bz_fields, x, y, z)
x,y,z = derham_h.V0.breaks
x, y = 0.5, 0.5
b_values_0 = []
for zi in z:
b_value_phys = push_3d_hdiv(bx_value_fun, by_value_fun, bz_value_fun, x, y, zi, mapping)
b_values_0.append(b_value_phys[0])
b_values_0 = np.array(b_values_0)
time_array = np.linspace(0, dt*niter, niter + 1)
tt, zz = np.meshgrid(time_array, z)
b_ex_values_0 = b_ex[0](tt, x, y, zz)
error = abs(b_values_0-b_ex_values_0).max()
return error
###############################################################################
# SERIAL TESTS
###############################################################################
#==============================================================================
# 3D Maxwell's equations with "Collela" map
#==============================================================================
def test_maxwell_3d_1():
class CollelaMapping3D(Mapping):
_expressions = {'x': 'k1*(x1 + eps*sin(2.*pi*x1)*sin(2.*pi*x2))',
'y': 'k2*(x2 + eps*sin(2.*pi*x1)*sin(2.*pi*x2))',
'z': 'k3*x3'}
_ldim = 3
_pdim = 3
M = CollelaMapping3D('M', k1=1, k2=1, k3=1, eps=0.1)
logical_domain = Cube('C', bounds1=(0, 1), bounds2=(0, 1), bounds3=(0, 1))
# exact solution
e_ex_0 = lambda t, x, y, z: 0
e_ex_1 = lambda t, x, y, z: -np.cos(2*np.pi*t-2*np.pi*z)
e_ex_2 = lambda t, x, y, z: 0
e_ex = (e_ex_0, e_ex_1, e_ex_2)
b_ex_0 = lambda t, x, y, z : np.cos(2*np.pi*t-2*np.pi*z)
b_ex_1 = lambda t, x, y, z : 0
b_ex_2 = lambda t, x, y, z : 0
b_ex = (b_ex_0, b_ex_1, b_ex_2)
#space parameters
ncells = [2**4, 2**3, 2**5]
degree = [2, 2, 2]
periodic = [True, True, True]
#time parameters
dt = 0.5*1/max(ncells)
niter = 10
T = dt*niter
error = run_maxwell_3d_scipy(logical_domain, M, e_ex, b_ex, ncells, degree, periodic, dt, niter)
assert abs(error - 0.04294761712765949) < 1e-9
def test_maxwell_3d_2():
class CollelaMapping3D(Mapping):
_expressions = {'x': 'k1*(x1 + eps*sin(2.*pi*x1)*sin(2.*pi*x2))',
'y': 'k2*(x2 + eps*sin(2.*pi*x1)*sin(2.*pi*x2))',
'z': 'k3*x3'}
_ldim = 3
_pdim = 3
M = CollelaMapping3D('M', k1=1, k2=1, k3=1, eps=0.1)
logical_domain = Cube('C', bounds1=(0, 1), bounds2=(0, 1), bounds3=(0, 1))
# exact solution
e_ex_0 = lambda t, x, y, z: 0
e_ex_1 = lambda t, x, y, z: -np.cos(2*np.pi*t-2*np.pi*z)
e_ex_2 = lambda t, x, y, z: 0
e_ex = (e_ex_0, e_ex_1, e_ex_2)
b_ex_0 = lambda t, x, y, z : np.cos(2*np.pi*t-2*np.pi*z)
b_ex_1 = lambda t, x, y, z : 0
b_ex_2 = lambda t, x, y, z : 0
b_ex = (b_ex_0, b_ex_1, b_ex_2)
#space parameters
ncells = [7, 7, 7]
degree = [2, 2, 2]
periodic = [True, True, True]
#time parameters
dt = 0.5*1/max(ncells)
niter = 2
T = dt*niter
error = run_maxwell_3d_stencil(logical_domain, M, e_ex, b_ex, ncells, degree, periodic, dt, niter)
assert abs(error - 0.24586986658559362) < 1e-9
#==============================================================================
# CLEAN UP SYMPY NAMESPACE
#==============================================================================
def teardown_module():
from sympy.core import cache
cache.clear_cache()
def teardown_function():
from sympy.core import cache
cache.clear_cache()
| 32.69914
| 118
| 0.572906
| 1,806
| 11,412
| 3.41196
| 0.129568
| 0.018825
| 0.025316
| 0.02629
| 0.777345
| 0.774911
| 0.767121
| 0.759007
| 0.746349
| 0.737098
| 0
| 0.054451
| 0.224325
| 11,412
| 348
| 119
| 32.793103
| 0.641663
| 0.106642
| 0
| 0.744186
| 0
| 0.018605
| 0.0237
| 0.0128
| 0
| 0
| 0
| 0
| 0.009302
| 1
| 0.051163
| false
| 0
| 0.106977
| 0
| 0.227907
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
fec208c22d9d1041117b1d183e1d441e6bf6d6c9
| 40
|
py
|
Python
|
lightRaven/agent/__init__.py
|
M0gician/lightRaven
|
edcaed1ffbfab95064fc2719f2e3f79375ce6f04
|
[
"MIT"
] | 1
|
2020-12-16T07:41:44.000Z
|
2020-12-16T07:41:44.000Z
|
lightRaven/agent/__init__.py
|
M0gician/lightRaven
|
edcaed1ffbfab95064fc2719f2e3f79375ce6f04
|
[
"MIT"
] | null | null | null |
lightRaven/agent/__init__.py
|
M0gician/lightRaven
|
edcaed1ffbfab95064fc2719f2e3f79375ce6f04
|
[
"MIT"
] | null | null | null |
from .cem_seldonian import CEMSeldonian
| 20
| 39
| 0.875
| 5
| 40
| 6.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 40
| 1
| 40
| 40
| 0.944444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
3a343af5749652da771adbdd16f972a23748ed7b
| 47
|
py
|
Python
|
pybabblesdk/blockchain/__init__.py
|
mosaicnetworks/pybabblesdk
|
6fe09cbe02ed8dc674aa849723bad5336a9b9017
|
[
"MIT"
] | 3
|
2019-04-24T19:42:37.000Z
|
2020-06-09T03:36:04.000Z
|
pybabblesdk/blockchain/__init__.py
|
mosaicnetworks/pybabblesdk
|
6fe09cbe02ed8dc674aa849723bad5336a9b9017
|
[
"MIT"
] | null | null | null |
pybabblesdk/blockchain/__init__.py
|
mosaicnetworks/pybabblesdk
|
6fe09cbe02ed8dc674aa849723bad5336a9b9017
|
[
"MIT"
] | null | null | null |
from pybabblesdk.blockchain.block import Block
| 23.5
| 46
| 0.87234
| 6
| 47
| 6.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085106
| 47
| 1
| 47
| 47
| 0.953488
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
28cf36595d374834e4f9baeeee590a8bb7fc9e14
| 166
|
py
|
Python
|
arxiv_html/renders/tasks.py
|
arXiv/arxiv-readability
|
20dac4540aaf689b2ab8fdababf51e89e645f077
|
[
"Apache-2.0",
"MIT"
] | 19
|
2019-01-02T16:39:10.000Z
|
2022-02-11T12:50:27.000Z
|
arxiv_html/renders/tasks.py
|
cul-it/arxiv-readability
|
20dac4540aaf689b2ab8fdababf51e89e645f077
|
[
"Apache-2.0",
"MIT"
] | 2
|
2018-11-12T17:09:14.000Z
|
2018-11-12T17:10:07.000Z
|
arxiv_html/renders/tasks.py
|
cul-it/arxiv-readability
|
20dac4540aaf689b2ab8fdababf51e89e645f077
|
[
"Apache-2.0",
"MIT"
] | 7
|
2019-01-10T22:02:01.000Z
|
2020-12-06T16:28:22.000Z
|
from ..celery import app
from .engrafo import run_engrafo
@app.task(bind=True)
def run_engrafo_task(self, *args, **kwargs):
return run_engrafo(*args, **kwargs)
| 20.75
| 44
| 0.73494
| 25
| 166
| 4.72
| 0.56
| 0.254237
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.13253
| 166
| 7
| 45
| 23.714286
| 0.819444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0.2
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
e92ca4ce1f3afd72b1e63f43b5e858e59256b930
| 23,959
|
py
|
Python
|
blowdrycss/unit_tests/test_BreakpointParser.py
|
acnagy/test-blowdrycss
|
bd9603dc87dc304b811213e3e6c3c97afa7f5966
|
[
"MIT"
] | null | null | null |
blowdrycss/unit_tests/test_BreakpointParser.py
|
acnagy/test-blowdrycss
|
bd9603dc87dc304b811213e3e6c3c97afa7f5966
|
[
"MIT"
] | null | null | null |
blowdrycss/unit_tests/test_BreakpointParser.py
|
acnagy/test-blowdrycss
|
bd9603dc87dc304b811213e3e6c3c97afa7f5966
|
[
"MIT"
] | null | null | null |
# python 2
from __future__ import absolute_import
# builtins
from unittest import TestCase, main
# plugins
from cssutils.css import Property
# custom
from blowdrycss.breakpointparser import BreakpointParser
from blowdrycss_settings import px_to_em
__author__ = 'chad nelson'
__project__ = 'blowdrycss'
class TestBreakpointParser(TestCase):
def test_set_breakpoint_key(self):
valid_css_classes = [
'inline-small-up', 'inline-giant-down-i', 'green-xxsmall-only', 'padding-10-large-up', 'xsmall-down',
'medium-only', 'giant-up', 'giant-only-i', 'display-large-down',
]
names = ['display', 'display', 'color', 'padding', 'display', 'display', 'display', 'display', 'display', ]
values = ['inherit', 'inherit', 'green', '10', 'inherit', 'inherit', 'inherit', 'inherit', 'inherit', ]
priorities = ['', 'important', '', '', '', '', '', 'important', '']
expected = ['-small', '-giant', '-xxsmall', '-large', '-xsmall', '-medium', '-giant', '-giant', '-large', ]
for i, css_class in enumerate(valid_css_classes):
css_property = Property(name=names[i], value=values[i], priority=priorities[i])
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
breakpoint_parser.set_breakpoint_key()
self.assertEqual(breakpoint_parser.breakpoint_key, expected[i])
def test_set_breakpoint_key_ValueError(self):
invalid_css_classes = ['inline-small', 'inline-down', 'custom-class', '-xsmall-', '-xxlarge-up']
names = ['display', 'display', 'padding', 'invalid', 'invalid', ]
values = ['inherit', 'inherit', '10', 'invalid', 'invalid', ]
for i, css_class in enumerate(invalid_css_classes):
css_property = Property(name=names[i], value=values[i], priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
self.assertFalse(breakpoint_parser.is_breakpoint)
def test_set_limit_key(self):
valid_css_classes = ['inline-small-up', 'inline-giant-down-i', 'green-xxsmall-only', 'padding-10-large-up', ]
names = ['display', 'display', 'color', 'padding', ]
values = ['inline', 'inline', 'green', '10', ]
priorities = ['', 'important', '', '', ]
expected = ['-up', '-down', '-only', '-up', ]
for i, css_class in enumerate(valid_css_classes):
css_property = Property(name=names[i], value=values[i], priority=priorities[i])
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
breakpoint_parser.set_limit_key()
self.assertEqual(breakpoint_parser.limit_key, expected[i])
def test_set_limit_key_ValueError(self):
invalid_css_classes = ['inline-small-', 'inline-downward', '-only-', 'custom-class', '-up-', ]
names = ['display', 'display', 'color', 'padding', 'invalid', ]
values = ['inline', 'inline', 'green', '10', 'invalid', ]
for i, css_class in enumerate(invalid_css_classes):
css_property = Property(name=names[i], value=values[i], priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
self.assertFalse(breakpoint_parser.is_breakpoint)
def test_set_custom_breakpoint_key_Valid(self):
valid_css_classes = (
'padding-25-820-up', 'display-480-down', 'margin-5-2-5-2-1000-up', 'display-960-up-i', 'display-3_2rem-down'
)
names = ['padding', 'display', 'margin', 'display', 'display', ]
values = ['25', 'none', '5-2-5-2', 'none', 'none', ]
priorities = ['', '', '', 'important', '', ]
limit_key = ('-up', '-down', '-up', '-up', '-down', )
breakpoint = ('-820', '-480', '-1000', '-960', '-3_2rem', )
converted_breakpoint = (px_to_em('820'), px_to_em('480'), px_to_em('1000'), px_to_em('960'), '3.2rem', )
for i, css_class in enumerate(valid_css_classes):
css_property = Property(name=names[i], value=values[i], priority=priorities[i])
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
self.assertTrue(breakpoint_parser.is_breakpoint, msg=breakpoint_parser.css_class)
self.assertEqual(
breakpoint_parser.breakpoint_dict['custom'][limit_key[i]],
converted_breakpoint[i],
msg=converted_breakpoint[i] + ' dict: ' + breakpoint_parser.breakpoint_dict['custom'][limit_key[i]]
)
self.assertEqual(
breakpoint_parser.breakpoint_dict['custom']['breakpoint'],
breakpoint[i],
msg=breakpoint[i] + ' dict: ' + breakpoint_parser.breakpoint_dict['custom']['breakpoint']
)
def test_set_custom_breakpoint_key_Invalid(self):
invalid_css_classes = (
'-820-up', '480-down', 'margin-5-2-5-2-1000-', 'display-960-i', 'display-3_2rem',
)
names = ['padding', 'display', 'margin', 'display', 'display', ]
values = ['25', 'none', '5-2-5-2', 'none', 'none', ]
priorities = ['', '', '', 'important', '', ]
limit_key = ('-up', '-down', '-up', '-up', '-down', )
breakpoint = None
for i, css_class in enumerate(invalid_css_classes):
css_property = Property(name=names[i], value=values[i], priority=priorities[i])
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
self.assertFalse(breakpoint_parser.is_breakpoint, msg=breakpoint_parser.css_class)
self.assertEqual(
breakpoint_parser.breakpoint_dict['custom'][limit_key[i]],
breakpoint,
msg=str(breakpoint) + ' dict: ' + str(breakpoint_parser.breakpoint_dict['custom'][limit_key[i]])
)
self.assertEqual(
breakpoint_parser.breakpoint_dict['custom']['breakpoint'],
breakpoint,
msg=str(breakpoint) + ' dict: ' + str(breakpoint_parser.breakpoint_dict['custom']['breakpoint'])
)
def test_set_custom_breakpoint_key_ONLY(self):
invalid_css_class = 'display-3_2rem-920-only'
name = 'display'
value = 'none'
priority = ''
limit_key = '-only'
css_property = Property(name=name, value=value, priority=priority)
breakpoint_parser = BreakpointParser(css_class=invalid_css_class, css_property=css_property)
self.assertFalse(breakpoint_parser.is_breakpoint, msg=breakpoint_parser.css_class)
try:
should_not_exist = breakpoint_parser.breakpoint_dict['custom'][limit_key]
self.assertTrue(False, msg=should_not_exist)
except KeyError:
self.assertTrue(True)
def test_strip_breakpoint_limit(self):
valid_css_classes = [
'inline-small-up', 'inline-giant-down', 'green-xxsmall-only', 'padding-10-large-up',
'xlarge-only', 'large-down', 'xsmall-up',
'padding-25-820-up', 'display-480-down', 'margin-5-2-5-2-1000-up', 'display-960-up-i', 'display-3_2rem-down'
]
names = [
'display', 'display', 'color', 'padding', 'display', 'display', 'display',
'padding', 'display', 'margin', 'display', 'display',
]
values = [
'inline', 'inline', 'green', '10', 'none', 'none', 'none',
'25', 'none', '5-2-5-2', 'none', 'none',
]
expected = [
'inline', 'inline', 'green', 'padding-10', '', '', '',
'padding-25', 'display', 'margin-5-2-5-2', 'display-i', 'display',
]
for i, css_class in enumerate(valid_css_classes):
css_property = Property(name=names[i], value=values[i], priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
clean_css_class = breakpoint_parser.strip_breakpoint_limit()
self.assertEqual(clean_css_class, expected[i])
def test_is_display_True(self):
valid_css_classes = ('display-small-down', 'medium-only', 'giant-up', 'display-720-up', 'display-369-down')
names = ('display', 'display', 'display', 'display', 'display', )
values = ('none', 'none', 'none', 'none', 'none', )
for i, css_class in enumerate(valid_css_classes):
css_property = Property(name=names[i], value=values[i], priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
self.assertTrue(breakpoint_parser.is_display(), msg=css_class)
def test_is_display_False(self):
invalid_css_classes = (
'inline-small-up', 'inline-giant-down', 'green-xxsmall-only', 'padding-10-large-up',
'padding-25-820-up', 'margin-5-2-5-2-1000-up',
)
names = ('display', 'display', 'color', 'padding', 'padding', 'margin', )
values = ('inline', 'inline', 'green', '10', '25', '5-2-5-2', )
for i, css_class in enumerate(invalid_css_classes):
css_property = Property(name=names[i], value=values[i], priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
self.assertFalse(breakpoint_parser.is_display(), msg=css_class)
def test_css_for_only_display(self):
css_class = 'display-large-only'
name = 'display'
value = 'none'
expected = (
'@media only screen and (max-width: 45.0625em) {\n' +
'\t.display-large-only {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n' +
'@media only screen and (min-width: 64.0em) {\n' +
'\t.display-large-only {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_only()
self.assertEqual(css, expected)
def test_css_for_only_display_shorthand(self):
css_class = 'large-only'
name = 'display'
value = 'none'
expected = (
'@media only screen and (max-width: 45.0625em) {\n' +
'\t.large-only {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n' +
'@media only screen and (min-width: 64.0em) {\n' +
'\t.large-only {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_only()
self.assertEqual(css, expected)
def test_css_for_only_display_shorthand_important(self):
css_class = 'large-only-i'
name = 'display'
value = 'none'
priority = 'important'
expected = (
'@media only screen and (max-width: 45.0625em) {\n' +
'\t.large-only-i {\n' +
'\t\tdisplay: none !important;\n' +
'\t}\n' +
'}\n\n' +
'@media only screen and (min-width: 64.0em) {\n' +
'\t.large-only-i {\n' +
'\t\tdisplay: none !important;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority=priority)
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_only()
self.assertEqual(css, expected, msg=css)
def test_css_for_only_general_usage(self):
css_class = 'padding-100-large-only'
name = 'padding'
value = px_to_em('100')
expected = (
'@media only screen and (min-width: 45.0625em) and (max-width: 64.0em) {\n' +
'\t.padding-100-large-only {\n' +
'\t\tpadding: 6.25em;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_only()
self.assertEqual(css, expected)
def test_css_for_only_general_usage_important(self):
css_class = 'padding-100-large-only-i'
name = 'padding'
value = px_to_em('100')
priority = 'important'
expected = (
'@media only screen and (min-width: 45.0625em) and (max-width: 64.0em) {\n' +
'\t.padding-100-large-only-i {\n' +
'\t\tpadding: 6.25em !important;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority=priority)
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_only()
self.assertEqual(css, expected)
def test_css_for_only_wrong_limit_key(self):
css_class = 'padding-100-large-only'
name = 'padding'
value = px_to_em('100')
expected = ''
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
breakpoint_parser.limit_key = '-up' # Change to WRONG LIMIT KEY
css = breakpoint_parser.css_for_only()
self.assertEqual(css, expected)
def test_css_for_down_display(self):
css_class = 'display-medium-down'
name = 'display'
value = 'none'
expected = (
'@media only screen and (min-width: 45.0em) {\n' +
'\t.display-medium-down {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_down()
self.assertEqual(css, expected)
def test_css_for_down_display_shorthand(self):
css_class = 'medium-down'
name = 'display'
value = 'none'
expected = (
'@media only screen and (min-width: 45.0em) {\n' +
'\t.medium-down {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_down()
self.assertEqual(css, expected)
def test_css_for_down_display_custom(self):
css_class = 'display-369-down'
name = 'display'
value = 'none'
expected = (
'@media only screen and (min-width: 23.0625em) {\n' +
'\t.display-369-down {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_down()
self.assertEqual(css, expected)
def test_css_for_down_general_usage(self):
css_class = 'padding-100-medium-down'
name = 'padding'
value = px_to_em('100')
expected = (
'@media only screen and (max-width: 45.0em) {\n' +
'\t.padding-100-medium-down {\n' +
'\t\tpadding: 6.25em;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_down()
self.assertEqual(css, expected)
def test_css_for_down_wrong_limit_key(self):
css_class = 'padding-100-medium-down'
name = 'padding'
value = px_to_em('100')
expected = ''
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
breakpoint_parser.limit_key = '-only' # Change to WRONG LIMIT KEY.
css = breakpoint_parser.css_for_down()
self.assertEqual(css, expected)
def test_css_for_up_display(self):
css_class = 'display-small-up'
name = 'display'
value = 'none'
expected = (
'@media only screen and (max-width: 15.0625em) {\n' +
'\t.display-small-up {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_up()
self.assertEqual(css, expected)
def test_css_for_up_display_shorthand(self):
css_class = 'small-up'
name = 'display'
value = 'none'
expected = (
'@media only screen and (max-width: 15.0625em) {\n' +
'\t.small-up {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_up()
self.assertEqual(css, expected)
def test_css_for_up_display_custom(self):
css_class = 'display-720-up'
name = 'display'
value = 'none'
expected = (
'@media only screen and (max-width: 45.0em) {\n' +
'\t.display-720-up {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_up()
self.assertEqual(css, expected)
def test_css_for_up_general_usage(self):
css_class = 'padding-100-small-up'
name = 'padding'
value = px_to_em('100')
expected = (
'@media only screen and (min-width: 15.0625em) {\n' +
'\t.padding-100-small-up {\n' +
'\t\tpadding: 6.25em;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.css_for_up()
self.assertEqual(css, expected)
def test_css_for_up_wrong_limit_key(self):
css_class = 'padding-100-small-up'
name = 'padding'
value = px_to_em('100')
expected = ''
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
breakpoint_parser.limit_key = '-only' # Change to WRONG LIMIT KEY
css = breakpoint_parser.css_for_up()
self.assertEqual(css, expected)
# build_media_query
def test_build_media_query_only_display(self):
css_class = 'display-large-only'
name = 'display'
value = 'none'
expected = (
'@media only screen and (max-width: 45.0625em) {\n' +
'\t.display-large-only {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n' +
'@media only screen and (min-width: 64.0em) {\n' +
'\t.display-large-only {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.build_media_query()
self.assertEqual(css, expected)
def test_build_media_query_only_general_usage(self):
css_class = 'padding-100-large-only'
name = 'padding'
value = px_to_em('100')
expected = (
'@media only screen and (min-width: 45.0625em) and (max-width: 64.0em) {\n' +
'\t.padding-100-large-only {\n' +
'\t\tpadding: 6.25em;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.build_media_query()
self.assertEqual(css, expected)
def test_build_media_query_down_display(self):
css_class = 'display-medium-down'
name = 'display'
value = 'none'
expected = (
'@media only screen and (min-width: 45.0em) {\n' +
'\t.display-medium-down {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.build_media_query()
self.assertEqual(css, expected)
def test_build_media_query_down_general_usage(self):
css_class = 'padding-100-medium-down'
name = 'padding'
value = px_to_em('100')
expected = (
'@media only screen and (max-width: 45.0em) {\n' +
'\t.padding-100-medium-down {\n' +
'\t\tpadding: 6.25em;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.build_media_query()
self.assertEqual(css, expected)
def test_build_media_query_up_display(self):
css_class = 'display-small-up'
name = 'display'
value = 'none'
expected = (
'@media only screen and (max-width: 15.0625em) {\n' +
'\t.display-small-up {\n' +
'\t\tdisplay: none;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.build_media_query()
self.assertEqual(css, expected)
def test_build_media_query_up_general_usage(self):
css_class = 'padding-100-small-up'
name = 'padding'
value = px_to_em('100')
expected = (
'@media only screen and (min-width: 15.0625em) {\n' +
'\t.padding-100-small-up {\n' +
'\t\tpadding: 6.25em;\n' +
'\t}\n' +
'}\n\n'
)
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
css = breakpoint_parser.build_media_query()
self.assertEqual(css, expected)
def test_build_media_query_invalid_limit_key(self):
css_class = 'padding-100-small-up'
name = 'padding'
value = px_to_em('100')
expected = ''
css_property = Property(name=name, value=value, priority='')
breakpoint_parser = BreakpointParser(css_class=css_class, css_property=css_property)
breakpoint_parser.limit_key = 'invalid_key'
css = breakpoint_parser.build_media_query()
self.assertEqual(css, expected)
if __name__ == '__main__':
main()
| 42.937276
| 120
| 0.588589
| 2,781
| 23,959
| 4.841064
| 0.046027
| 0.062987
| 0.053109
| 0.056377
| 0.895194
| 0.863701
| 0.838743
| 0.823739
| 0.816311
| 0.797371
| 0
| 0.023065
| 0.267123
| 23,959
| 557
| 121
| 43.014363
| 0.743664
| 0.005384
| 0
| 0.694611
| 0
| 0.005988
| 0.213803
| 0.023131
| 0
| 0
| 0
| 0
| 0.077844
| 1
| 0.065868
| false
| 0
| 0.031936
| 0
| 0.0998
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
aaf350bea740d89fc42cf4f9697f8847e91e4497
| 143
|
py
|
Python
|
interface/backend/static/views.py
|
rahit/django-skeleton
|
b9d36da546307e3e28899a6e5054cc3f2229184d
|
[
"MIT"
] | 1
|
2017-10-09T10:12:47.000Z
|
2017-10-09T10:12:47.000Z
|
interface/backend/static/views.py
|
rahit/django-skeleton
|
b9d36da546307e3e28899a6e5054cc3f2229184d
|
[
"MIT"
] | null | null | null |
interface/backend/static/views.py
|
rahit/django-skeleton
|
b9d36da546307e3e28899a6e5054cc3f2229184d
|
[
"MIT"
] | null | null | null |
from django.conf import settings
from django.shortcuts import render
def home(request):
return render(request, '../frontend/index.html')
| 20.428571
| 52
| 0.762238
| 19
| 143
| 5.736842
| 0.736842
| 0.183486
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.132867
| 143
| 6
| 53
| 23.833333
| 0.879032
| 0
| 0
| 0
| 0
| 0
| 0.153846
| 0.153846
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.5
| 0.25
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
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| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 6
|
c9733ec60ea5acdcecfae5d12fddd4cfd198270b
| 17,097
|
py
|
Python
|
tests/test_config_pools.py
|
discogestalt/stingray
|
db55e0cd279cb8be8cf9716bc3e1e7f73cda2c1d
|
[
"Apache-2.0"
] | null | null | null |
tests/test_config_pools.py
|
discogestalt/stingray
|
db55e0cd279cb8be8cf9716bc3e1e7f73cda2c1d
|
[
"Apache-2.0"
] | null | null | null |
tests/test_config_pools.py
|
discogestalt/stingray
|
db55e0cd279cb8be8cf9716bc3e1e7f73cda2c1d
|
[
"Apache-2.0"
] | 1
|
2019-05-28T20:16:59.000Z
|
2019-05-28T20:16:59.000Z
|
import pytest
from stingray.apiclient import StingrayAPIClientError
from stingray.config.pools import Pools, Pool
import config_pool_responses as cpr
stingray_args = dict(
host='stingray',
port='9070',
user='admin',
password='admin',
api_version='5.2',
)
stingray_args_old = dict(
host='stingray',
port='9070',
user='admin',
password='admin',
api_version='2.0',
)
pools_base = 'https://stingray:9070/api/tm/5.2/config/active/pools/'
stats_base = 'https://stingray:9070/api/tm/5.2/status/local_tm/statistics/'
pools_base_old = 'https://stingray:9070/api/tm/2.0/config/active/pools/'
stats_base_old = 'https://stingray:9070/api/tm/2.0/status/local_tm/statistics/'
pytest_plugins = "pytest-responses"
def base_response(responses):
responses.add(
responses.GET,
pools_base,
json=cpr.list_pools,
)
def base_response_old(responses):
responses.add(
responses.GET,
pools_base_old,
json=cpr.list_pools_old,
)
class TestStingrayPools(object):
def test_config_pools_init(self, responses):
base_response(responses)
pools = Pools(**stingray_args)
assert isinstance(pools, Pools)
assert len(pools.pools) == 3
assert pools.pools['Pool1'] == "/api/tm/5.2/config/active/pools/Pool1"
def test_config_pools_init_old(self, responses):
base_response_old(responses)
pools = Pools(**stingray_args_old)
assert isinstance(pools, Pools)
assert pools.api_version == "2.0"
def test_config_pools_get(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.get_pool
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
node1 = pool.properties['basic']['nodes_table'][0]
assert isinstance(pool, Pool)
assert node1['node'] == "10.0.0.1:8000"
assert node1['state'] == "active"
assert node1['state'] == pool.nodes['10.0.0.1:8000']['state']
def test_config_pools_get_old(self, responses):
base_response_old(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_old
)
pools = Pools(**stingray_args_old)
assert pools.api_version == "2.0"
pool = pools.get('Pool1')
assert isinstance(pool, Pool)
assert pool.api_version == "2.0"
node1 = pool.properties['basic']['nodes'][0]
assert node1 == "10.0.0.1:8000"
assert pool.nodes[node1]['state'] == "active"
def test_config_pools_add(self, responses):
base_response(responses)
responses.add(
responses.PUT,
'{0}Pool4'.format(pools_base),
json=cpr.get_pool
)
pools = Pools(**stingray_args)
new_pool = pools.add('Pool4', nodes=['10.0.0.1:8000'])
assert isinstance(new_pool, Pool)
assert new_pool.nodes.get('10.0.0.1:8000', False)
assert 'Pool4' in pools.pools
def test_config_pools_add_old(self, responses):
base_response_old(responses)
responses.add(
responses.PUT,
'{0}Pool4'.format(pools_base_old),
json=cpr.get_pool_old
)
pools = Pools(**stingray_args_old)
new_pool = pools.add('Pool4', nodes=['10.0.0.1:8000', '10.0.0.2:8000'])
assert isinstance(new_pool, Pool)
assert new_pool.nodes.get('10.0.0.1:8000', False)
assert new_pool.properties['basic']['nodes'] == ['10.0.0.1:8000', '10.0.0.2:8000']
assert 'Pool4' in pools.pools
def test_config_pools_add_no_nodes(self, responses):
base_response(responses)
with pytest.raises(
StingrayAPIClientError,
match="No nodes specified, cannot create pool"):
pools = Pools(**stingray_args)
pools.add('Pool5')
def test_config_pools_add_bad_arg(self, responses):
base_response(responses)
with pytest.raises(
StingrayAPIClientError,
match="Nodes must be specified as a list"):
pools = Pools(**stingray_args)
pools.add('Pool5', '10.0.0.2:8000')
def test_config_pools_delete(self, responses):
base_response(responses)
responses.add(
responses.DELETE,
'{0}Pool1'.format(pools_base),
status=204
)
pools = Pools(**stingray_args)
del_response = pools.delete('Pool1')
assert del_response['success'] == "Resource has been removed"
assert 'Pool1' not in pools.pools
class TestStingrayPool(object):
def test_config_pool_nodes_status(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.get_pool
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.1:8000'.format(stats_base),
json=cpr.nodes_status
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
nodes_status = pool.nodes_status()
assert nodes_status['10.0.0.1:8000']['state'] == "active"
assert nodes_status['10.0.0.1:8000']['health'] == "alive"
def test_config_pool_nodes_status_old(self, responses):
base_response_old(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_old
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.1:8000'.format(stats_base_old),
json=cpr.nodes_status
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.2:8000'.format(stats_base_old),
json=cpr.nodes_status
)
pools = Pools(**stingray_args_old)
pool = pools.get('Pool1')
nodes_status = pool.nodes_status()
assert nodes_status['10.0.0.1:8000']['state'] == "active"
assert nodes_status['10.0.0.2:8000']['health'] == "alive"
def test_config_pool_add_node(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.get_pool
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base),
json=cpr.two_nodes
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.1:8000'.format(stats_base),
json=cpr.nodes_status
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.2:8000'.format(stats_base),
json=cpr.nodes_status
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
assert len(pool.nodes) == 1
nodes_status = pool.add_node('10.0.0.2:8000')
assert '10.0.0.2:8000' in nodes_status
assert nodes_status['10.0.0.1:8000']['state'] == "active"
assert nodes_status['10.0.0.2:8000']['state'] == "active"
assert len(pool.nodes) == 2
assert len(pool.properties['basic']['nodes_table']) == 2
def test_config_pool_add_node_old(self, responses):
base_response_old(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_old
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_add_old
)
for i in range(1, 4):
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.{1}:8000'.format(stats_base_old, i),
json=cpr.nodes_status
)
pools = Pools(**stingray_args_old)
pool = pools.get('Pool1')
assert len(pool.nodes) == 2
nodes_status = pool.add_node('10.0.0.3:8000')
assert nodes_status['10.0.0.3:8000']['state'] == "active"
assert '10.0.0.3:8000' in pool.properties['basic']['nodes']
assert len(pool.nodes) == 3
assert len(pool.properties['load_balancing']['node_weighting']) == 3
def test_config_pool_drain_node(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.get_pool
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base),
json=cpr.drain_node
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.1:8000'.format(stats_base),
json=cpr.nodes_status
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
assert pool.nodes['10.0.0.1:8000']['state'] == "active"
nodes_status = pool.drain_node('10.0.0.1:8000')
assert nodes_status['10.0.0.1:8000']['state'] == "draining"
def test_config_pool_drain_node_old(self, responses):
base_response_old(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_add_old
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base_old),
json=cpr.drain_node_old
)
for i in range(1, 4):
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.{1}:8000'.format(stats_base_old, i),
json=cpr.nodes_status
)
pools = Pools(**stingray_args_old)
pool = pools.get('Pool1')
assert pool.nodes['10.0.0.1:8000']['state'] == "active"
nodes_status = pool.drain_node('10.0.0.1:8000')
assert nodes_status['10.0.0.1:8000']['state'] == "draining"
assert '10.0.0.1:8000' in pool.properties['basic']['draining']
def test_config_pool_drain_node_bad(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.get_pool
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
with pytest.raises(
StingrayAPIClientError,
match="Node bad_node is not a member of this pool"):
pool.drain_node('bad_node')
def test_config_pool_disable_node(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.drain_node
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base),
json=cpr.disable_node
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
assert pool.nodes['10.0.0.1:8000']['state'] == "draining"
nodes_status = pool.disable_node('10.0.0.1:8000')
assert nodes_status['10.0.0.1:8000']['state'] == "disabled"
def test_config_pool_disable_node_old(self, responses):
base_response_old(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base_old),
json=cpr.drain_node_old
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base_old),
json=cpr.disable_node_old
)
for i in range(2, 4):
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.{1}:8000'.format(stats_base_old, i),
json=cpr.nodes_status
)
pools = Pools(**stingray_args_old)
pool = pools.get('Pool1')
assert pool.nodes['10.0.0.1:8000']['state'] == "draining"
nodes_status = pool.disable_node('10.0.0.1:8000')
assert nodes_status['10.0.0.1:8000']['state'] == "disabled"
assert '10.0.0.1:8000' in pool.properties['basic']['disabled']
def test_config_pool_disable_node_bad(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.drain_node
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
with pytest.raises(
StingrayAPIClientError,
match="Node bad_node is not a member of this pool"):
pool.disable_node('bad_node')
def test_config_pool_enable_node(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.disable_node
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base),
json=cpr.get_pool
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.1:8000'.format(stats_base),
json=cpr.nodes_status
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
assert pool.nodes['10.0.0.1:8000']['state'] == "disabled"
nodes_status = pool.enable_node('10.0.0.1:8000')
assert nodes_status['10.0.0.1:8000']['state'] == "active"
assert nodes_status['10.0.0.1:8000']['health'] == "alive"
def test_config_pool_enable_node_old(self, responses):
base_response_old(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base_old),
json=cpr.disable_node_old
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_add_old
)
for i in range(1, 4):
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.{1}:8000'.format(stats_base_old, i),
json=cpr.nodes_status
)
pools = Pools(**stingray_args_old)
pool = pools.get('Pool1')
assert pool.nodes['10.0.0.1:8000']['state'] == "disabled"
assert '10.0.0.1:8000' in pool.properties['basic']['disabled']
nodes_status = pool.enable_node('10.0.0.1:8000')
assert nodes_status['10.0.0.1:8000']['state'] == "active"
assert pool.nodes['10.0.0.1:8000']['state'] == "active"
assert '10.0.0.1:8000' in pool.properties['basic']['nodes']
def test_config_pool_enable_node_bad(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.disable_node
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
with pytest.raises(
StingrayAPIClientError,
match="Node bad_node is not a member of this pool"):
pool.enable_node('bad_node')
def test_config_pool_delete_node(self, responses):
base_response(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base),
json=cpr.two_nodes
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base),
json=cpr.get_pool
)
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.1:8000'.format(stats_base),
json=cpr.nodes_status
)
pools = Pools(**stingray_args)
pool = pools.get('Pool1')
assert len(pool.nodes) == 2
nodes_status = pool.delete_node('10.0.0.2:8000')
assert '10.0.0.2:8000' not in nodes_status
assert nodes_status['10.0.0.1:8000']['state'] == "active"
assert len(pool.nodes) == 1
assert len(pool.properties['basic']['nodes_table']) == 1
def test_config_pool_delete_node_old(self, responses):
base_response_old(responses)
responses.add(
responses.GET,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_add_old
)
responses.add(
responses.PUT,
'{0}Pool1'.format(pools_base_old),
json=cpr.get_pool_old
)
for i in range(1, 3):
responses.add(
responses.GET,
'{0}nodes/node/10.0.0.{1}:8000'.format(stats_base_old, i),
json=cpr.nodes_status
)
pools = Pools(**stingray_args_old)
pool = pools.get('Pool1')
assert len(pool.nodes) == 3
assert len(pool.properties['basic']['nodes']) == 3
assert '10.0.0.3:8000' in pool.properties['basic']['nodes']
nodes_status = pool.delete_node('10.0.0.3:8000')
assert sorted(nodes_status.keys()) == ['10.0.0.1:8000', '10.0.0.2:8000']
assert len(pool.nodes) == 2
assert len(pool.properties['basic']['nodes']) == 2
assert '10.0.0.3:8000' not in pool.nodes
assert '10.0.0.3:8000' not in pool.properties['basic']['nodes']
| 30.260177
| 90
| 0.567409
| 2,133
| 17,097
| 4.368026
| 0.052508
| 0.021895
| 0.029194
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| 564
| 91
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| 0.147745
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| 1
| 0.057522
| false
| 0.004425
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|
0
| 6
|
a30f7b07498ba34789452b8e6180953841011a57
| 5,857
|
py
|
Python
|
authors/apps/notification/test/test_notifications.py
|
andela/ah-backend-prime
|
0708463d4565a4977a5a5dcb839f1dfed52fdc90
|
[
"BSD-3-Clause"
] | 1
|
2019-09-19T14:30:05.000Z
|
2019-09-19T14:30:05.000Z
|
authors/apps/notification/test/test_notifications.py
|
e-ian/authors-haven-frontend
|
05829c8088ca49ef2cf0863dc87ec55b44b13534
|
[
"BSD-3-Clause"
] | 22
|
2019-03-25T16:10:53.000Z
|
2022-03-11T23:44:21.000Z
|
authors/apps/notification/test/test_notifications.py
|
e-ian/authors-haven-frontend
|
05829c8088ca49ef2cf0863dc87ec55b44b13534
|
[
"BSD-3-Clause"
] | 6
|
2019-03-25T09:39:39.000Z
|
2021-03-11T23:54:12.000Z
|
from django.urls import reverse
from django.shortcuts import get_object_or_404
from rest_framework import status
from authors.apps.authentication.tests.test_data import VALID_USER_DATA
from authors.apps.articles.tests.test_data import VALID_ARTICLE
from authors.apps.notification.test.base import NotificationBaseTest
from authors.apps.notification.test.test_data import VALID_USER_DATA_2
from authors.apps.notification.models import Notification
class TestNotifications(NotificationBaseTest):
def test_get_all_notifications(self):
token = self.create_user(VALID_USER_DATA)
token2 = self.create_user(VALID_USER_DATA_2)
self.client.post(
reverse('follow-profile', kwargs={'username': 'anyatijude'}),
HTTP_AUTHORIZATION=token2
)
response = self.client.post(
reverse('articles'),
data=VALID_ARTICLE,
format='json',
HTTP_AUTHORIZATION=token
)
self.client.post(
reverse('favorite-article', kwargs={'slug': response.data['article']['slug']}),
format='json'
)
self.client.post(reverse(
'comments',
kwargs={'slug': response.data['article']['slug'], 'id': 0}),
data={"body": "the was lms was fine"},
format='json')
response = self.client.get(
self.notification_url,
format='json',
HTTP_AUTHORIZATION=token2
)
self.assertEquals(response.status_code, status.HTTP_200_OK)
def test_get_single_unread_notification(self):
"""
test that returns all the unread notifications
"""
token = self.create_user(VALID_USER_DATA)
token2 = self.create_user(VALID_USER_DATA_2)
self.client.post(
reverse('follow-profile', kwargs={'username': 'anyatijude'}),
HTTP_AUTHORIZATION=token2
)
response_data = self.client.post(
reverse('articles'),
data=VALID_ARTICLE,
format='json',
HTTP_AUTHORIZATION=token
)
self.client.post(
reverse('favorite-article',
kwargs={'slug': response_data.data['article']['slug']}),
format='json'
)
self.client.post(reverse(
'comments',
kwargs={'slug': response_data.data['article']['slug'], 'id': 0}),
data={"body": "the was lms was fine"},
format='json')
notifications = get_object_or_404(Notification)
response = self.client.get(
reverse('notification-detail', kwargs={'pk': notifications.pk}),
format='json',
HTTP_AUTHORIZATION=token2
)
self.assertEquals(response.status_code, status.HTTP_200_OK)
self.assertEquals(response.data, response.data)
def test_get_unread_notifications(self):
"""
test that returns all the unread notifications
"""
token = self.create_user(VALID_USER_DATA)
token2 = self.create_user(VALID_USER_DATA_2)
self.client.post(
reverse('follow-profile', kwargs={'username': 'anyatijude'}),
HTTP_AUTHORIZATION=token2
)
response_data = self.client.post(
reverse('articles'),
data=VALID_ARTICLE,
format='json',
HTTP_AUTHORIZATION=token
)
self.client.post(
reverse('favorite-article',
kwargs={'slug': response_data.data['article']['slug']}),
format='json'
)
self.client.post(reverse(
'comments',
kwargs={'slug': response_data.data['article']['slug'], 'id': 0}),
data={"body": "the was lms was fine"},
format='json')
response = self.client.get(
reverse('notifications-unread'),
format='json',
HTTP_AUTHORIZATION=token2
)
self.assertEquals(response.status_code, status.HTTP_200_OK)
self.assertEquals(response.data, response.data)
def test_single_notifications_not_found(self):
"""
test that returns all the unread notifications
"""
token = self.create_user(VALID_USER_DATA)
token2 = self.create_user(VALID_USER_DATA_2)
self.client.post(
reverse('follow-profile', kwargs={'username': 'anyatijude'}),
HTTP_AUTHORIZATION=token2
)
response_data = self.client.post(
reverse('articles'),
data=VALID_ARTICLE,
format='json',
HTTP_AUTHORIZATION=token
)
self.client.post(
reverse('favorite-article',
kwargs={'slug': response_data.data['article']['slug']}),
format='json'
)
self.client.post(reverse(
'comments',
kwargs={'slug': response_data.data['article']['slug'], 'id': 0}),
data={"body": "the was lms was fine"},
format='json')
response = self.client.get(
reverse('notification-detail', kwargs={'pk': 50}),
format='json',
HTTP_AUTHORIZATION=token2
)
self.assertEquals(response.status_code, status.HTTP_404_NOT_FOUND)
self.assertEquals(response.data['error'], 'notifications not available')
def test_in_app_and_email_notification_disabled(self):
token = self.create_user(VALID_USER_DATA)
response = self.client.put(reverse('notification-disable'),
HTTP_AUTHORIZATION=token,
format='json'
)
self.assertEquals(response.status_code, status.HTTP_200_OK)
self.assertEquals(response.data['error'], "disabled notifications app")
| 38.032468
| 91
| 0.58938
| 596
| 5,857
| 5.607383
| 0.137584
| 0.062837
| 0.067026
| 0.100539
| 0.802513
| 0.763914
| 0.747756
| 0.747756
| 0.735787
| 0.711849
| 0
| 0.010651
| 0.29469
| 5,857
| 153
| 92
| 38.281046
| 0.798354
| 0.023903
| 0
| 0.676471
| 0
| 0
| 0.12272
| 0
| 0
| 0
| 0
| 0
| 0.066176
| 1
| 0.036765
| false
| 0
| 0.058824
| 0
| 0.102941
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
a317fce5b37f463e15876a2aad89571583d1bf2d
| 56
|
py
|
Python
|
testing_editable_dots/main.py
|
AndydeCleyre/1576
|
3e0bb69c32ca343e4b21e19e44aead526efa09b6
|
[
"WTFPL"
] | null | null | null |
testing_editable_dots/main.py
|
AndydeCleyre/1576
|
3e0bb69c32ca343e4b21e19e44aead526efa09b6
|
[
"WTFPL"
] | null | null | null |
testing_editable_dots/main.py
|
AndydeCleyre/1576
|
3e0bb69c32ca343e4b21e19e44aead526efa09b6
|
[
"WTFPL"
] | 1
|
2022-02-17T02:59:50.000Z
|
2022-02-17T02:59:50.000Z
|
def main():
import ruamel.yaml
print("success")
| 14
| 22
| 0.625
| 7
| 56
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.232143
| 56
| 3
| 23
| 18.666667
| 0.813953
| 0
| 0
| 0
| 0
| 0
| 0.125
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0.333333
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
a342e6e0a74b8f0762677cdcad953a4a9a65832c
| 230
|
py
|
Python
|
app/wrapper/pynubank_wrapper/providers/__init__.py
|
brunoanhaia/budget-planner
|
edb030591fd8425e1e4132f869693bb10b941771
|
[
"MIT"
] | null | null | null |
app/wrapper/pynubank_wrapper/providers/__init__.py
|
brunoanhaia/budget-planner
|
edb030591fd8425e1e4132f869693bb10b941771
|
[
"MIT"
] | 2
|
2022-03-02T14:10:53.000Z
|
2022-03-17T22:56:25.000Z
|
app/wrapper/pynubank_wrapper/providers/__init__.py
|
brunoanhaia/budget-planner
|
edb030591fd8425e1e4132f869693bb10b941771
|
[
"MIT"
] | null | null | null |
import pathlib
import sys
sys.path.append(str(pathlib.Path(__file__).parent))
from .database_provider import DatabaseProvider
from .cache_data_provider import CacheDataProvider
from .nubank_api_provider import NuBankApiProvider
| 25.555556
| 51
| 0.86087
| 29
| 230
| 6.517241
| 0.62069
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.082609
| 230
| 8
| 52
| 28.75
| 0.895735
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.833333
| 0
| 0.833333
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
a36304a10ade9cff91ec6a08271ad7f1a3698961
| 3,241
|
py
|
Python
|
resources/dot_PyCharm/system/python_stubs/-762174762/PySide/QtGui/QBrush.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | 1
|
2020-04-20T02:27:20.000Z
|
2020-04-20T02:27:20.000Z
|
resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QBrush.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | null | null | null |
resources/dot_PyCharm/system/python_stubs/cache/8cdc475d469a13122bc4bc6c3ac1c215d93d5f120f5cc1ef33a8f3088ee54d8e/PySide/QtGui/QBrush.py
|
basepipe/developer_onboarding
|
05b6a776f8974c89517868131b201f11c6c2a5ad
|
[
"MIT"
] | null | null | null |
# encoding: utf-8
# module PySide.QtGui
# from C:\Python27\lib\site-packages\PySide\QtGui.pyd
# by generator 1.147
# no doc
# imports
import PySide.QtCore as __PySide_QtCore
import Shiboken as __Shiboken
class QBrush(__Shiboken.Object):
# no doc
def color(self, *args, **kwargs): # real signature unknown
pass
def gradient(self, *args, **kwargs): # real signature unknown
pass
def isOpaque(self, *args, **kwargs): # real signature unknown
pass
def matrix(self, *args, **kwargs): # real signature unknown
pass
def setColor(self, *args, **kwargs): # real signature unknown
pass
def setMatrix(self, *args, **kwargs): # real signature unknown
pass
def setStyle(self, *args, **kwargs): # real signature unknown
pass
def setTexture(self, *args, **kwargs): # real signature unknown
pass
def setTextureImage(self, *args, **kwargs): # real signature unknown
pass
def setTransform(self, *args, **kwargs): # real signature unknown
pass
def style(self, *args, **kwargs): # real signature unknown
pass
def swap(self, *args, **kwargs): # real signature unknown
pass
def texture(self, *args, **kwargs): # real signature unknown
pass
def textureImage(self, *args, **kwargs): # real signature unknown
pass
def transform(self, *args, **kwargs): # real signature unknown
pass
def __copy__(self, *args, **kwargs): # real signature unknown
pass
def __eq__(self, y): # real signature unknown; restored from __doc__
""" x.__eq__(y) <==> x==y """
pass
def __ge__(self, y): # real signature unknown; restored from __doc__
""" x.__ge__(y) <==> x>=y """
pass
def __gt__(self, y): # real signature unknown; restored from __doc__
""" x.__gt__(y) <==> x>y """
pass
def __init__(self, *args, **kwargs): # real signature unknown
pass
def __le__(self, y): # real signature unknown; restored from __doc__
""" x.__le__(y) <==> x<=y """
pass
def __lshift__(self, y): # real signature unknown; restored from __doc__
""" x.__lshift__(y) <==> x<<y """
pass
def __lt__(self, y): # real signature unknown; restored from __doc__
""" x.__lt__(y) <==> x<y """
pass
@staticmethod # known case of __new__
def __new__(S, *more): # real signature unknown; restored from __doc__
""" T.__new__(S, ...) -> a new object with type S, a subtype of T """
pass
def __ne__(self, y): # real signature unknown; restored from __doc__
""" x.__ne__(y) <==> x!=y """
pass
def __repr__(self): # real signature unknown; restored from __doc__
""" x.__repr__() <==> repr(x) """
pass
def __rlshift__(self, y): # real signature unknown; restored from __doc__
""" x.__rlshift__(y) <==> y<<x """
pass
def __rrshift__(self, y): # real signature unknown; restored from __doc__
""" x.__rrshift__(y) <==> y>>x """
pass
def __rshift__(self, y): # real signature unknown; restored from __doc__
""" x.__rshift__(y) <==> x>>y """
pass
| 28.182609
| 77
| 0.597038
| 394
| 3,241
| 4.497462
| 0.19797
| 0.212754
| 0.327314
| 0.172686
| 0.709932
| 0.664786
| 0.645034
| 0.624718
| 0.231377
| 0
| 0
| 0.00296
| 0.270287
| 3,241
| 114
| 78
| 28.429825
| 0.7463
| 0.441222
| 0
| 0.467742
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.467742
| false
| 0.467742
| 0.032258
| 0
| 0.516129
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 6
|
a372435586f2afaa438ddb0f033f039bdd0570ed
| 3,743
|
py
|
Python
|
tests/test_sklearn_metrics.py
|
miltondp/clustermatch-gene-expr
|
664bcf9032f53e22165ce7aa586dbf11365a5827
|
[
"BSD-2-Clause-Patent"
] | null | null | null |
tests/test_sklearn_metrics.py
|
miltondp/clustermatch-gene-expr
|
664bcf9032f53e22165ce7aa586dbf11365a5827
|
[
"BSD-2-Clause-Patent"
] | 13
|
2021-08-13T16:02:15.000Z
|
2022-01-31T17:56:57.000Z
|
tests/test_sklearn_metrics.py
|
miltondp/clustermatch-gene-expr
|
664bcf9032f53e22165ce7aa586dbf11365a5827
|
[
"BSD-2-Clause-Patent"
] | 1
|
2021-08-09T14:57:40.000Z
|
2021-08-09T14:57:40.000Z
|
import numpy as np
from sklearn.metrics import adjusted_rand_score as sklearn_ari
from clustermatch.sklearn.metrics import (
adjusted_rand_index,
get_contingency_matrix,
get_pair_confusion_matrix,
)
def test_get_contingency_matrix_k0_equal_k1():
part0 = np.array([0, 0, 1, 1, 2, 2])
part1 = np.array([0, 1, 0, 2, 1, 2])
expected_mat = np.array([[1, 1, 0], [1, 0, 1], [0, 1, 1]])
observed_mat = get_contingency_matrix(part0, part1)
np.testing.assert_array_equal(observed_mat, expected_mat)
def test_get_contingency_matrix_k0_greater_k1():
part0 = np.array([0, 0, 1, 1, 2, 2, 3, 3, 3])
part1 = np.array([0, 1, 0, 2, 1, 2, 2, 2, 2])
expected_mat = np.array([[1, 1, 0], [1, 0, 1], [0, 1, 1], [0, 0, 3]])
observed_mat = get_contingency_matrix(part0, part1)
np.testing.assert_array_equal(observed_mat, expected_mat)
def test_get_contingency_matrix_k0_lesser_k1():
part0 = np.array([0, 0, 1, 1, 2, 2, 3, 3, 3, 2, 2, 2, 1])
part1 = np.array([0, 1, 0, 2, 1, 2, 3, 3, 3, 4, 4, 5, 5])
expected_mat = np.array(
[[1, 1, 0, 0, 0, 0], [1, 0, 1, 0, 0, 1], [0, 1, 1, 0, 2, 1], [0, 0, 0, 3, 0, 0]]
)
observed_mat = get_contingency_matrix(part0, part1)
np.testing.assert_array_equal(observed_mat, expected_mat)
def test_get_pair_confusion_matrix_k0_equal_k1():
part0 = np.array([0, 0, 1, 1, 2, 2])
part1 = np.array([0, 1, 0, 2, 1, 2])
expected_mat = np.array([[18, 6], [6, 0]])
observed_mat = get_pair_confusion_matrix(part0, part1)
np.testing.assert_array_equal(observed_mat, expected_mat)
def test_get_pair_confusion_matrix_k0_greater_k1():
part0 = np.array([0, 0, 1, 1, 2, 2, 3, 3, 3])
part1 = np.array([0, 1, 0, 2, 1, 2, 2, 2, 2])
expected_mat = np.array([[42, 18], [6, 6]])
observed_mat = get_pair_confusion_matrix(part0, part1)
np.testing.assert_array_equal(observed_mat, expected_mat)
def test_adjusted_rand_index_manual_random_partitions_same_k():
part0 = np.array([0, 0, 1, 1, 2, 2])
part1 = np.array([0, 1, 0, 2, 1, 2])
expected_ari = -0.25
observed_ari = adjusted_rand_index(part0, part1)
observed_ari_symm = adjusted_rand_index(part1, part0)
assert observed_ari == observed_ari_symm
assert expected_ari == observed_ari
def test_adjusted_rand_index_manual_perfect_match():
part0 = np.array([0, 0, 1, 1, 2, 2])
part1 = np.array([2, 2, 3, 3, 4, 4])
expected_ari = 1.0
observed_ari = adjusted_rand_index(part0, part1)
observed_ari_symm = adjusted_rand_index(part1, part0)
assert observed_ari == observed_ari_symm
assert expected_ari == observed_ari
def test_adjusted_rand_index_random_partitions_same_k():
maxk0 = 2
maxk1 = maxk0
n = 100
part0 = np.random.randint(0, maxk0 + 1, n)
part1 = np.random.randint(0, maxk1 + 1, n)
# warning: the sklearn's ari implementation can overflow in older versions
# when n is large
expected_ari = sklearn_ari(part0, part1)
observed_ari = adjusted_rand_index(part0, part1)
observed_ari_symm = adjusted_rand_index(part1, part0)
assert observed_ari == observed_ari_symm
assert expected_ari == observed_ari
def test_adjusted_rand_index_random_partitions_k0_greater_k1():
maxk0 = 5
maxk1 = 3
n = 100
part0 = np.random.randint(0, maxk0 + 1, n)
part1 = np.random.randint(0, maxk1 + 1, n)
# warning: the sklearn's ari implementation can overflow in older versions
# when n is large
expected_ari = sklearn_ari(part0, part1)
observed_ari = adjusted_rand_index(part0, part1)
observed_ari_symm = adjusted_rand_index(part1, part0)
assert observed_ari == observed_ari_symm
assert expected_ari == observed_ari
| 28.792308
| 88
| 0.67299
| 613
| 3,743
| 3.836868
| 0.11093
| 0.019558
| 0.093963
| 0.03869
| 0.897959
| 0.868197
| 0.843963
| 0.835034
| 0.835034
| 0.827381
| 0
| 0.085838
| 0.200107
| 3,743
| 129
| 89
| 29.015504
| 0.699733
| 0.047288
| 0
| 0.584416
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168831
| 1
| 0.116883
| false
| 0
| 0.038961
| 0
| 0.155844
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
a376ae40f7c3bd7dfaf385381f45ce80d58e0987
| 83
|
py
|
Python
|
pipert2/utils/__init__.py
|
MayoG/PipeRT2
|
357bf8a5fd3f3fe2149b7b0317d2c39dde66561d
|
[
"MIT"
] | null | null | null |
pipert2/utils/__init__.py
|
MayoG/PipeRT2
|
357bf8a5fd3f3fe2149b7b0317d2c39dde66561d
|
[
"MIT"
] | null | null | null |
pipert2/utils/__init__.py
|
MayoG/PipeRT2
|
357bf8a5fd3f3fe2149b7b0317d2c39dde66561d
|
[
"MIT"
] | null | null | null |
from .consts.event_names import START_EVENT_NAME, STOP_EVENT_NAME, KILL_EVENT_NAME
| 41.5
| 82
| 0.879518
| 14
| 83
| 4.714286
| 0.642857
| 0.409091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072289
| 83
| 1
| 83
| 83
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
a38766907b7a13bbfb5af8c9d10e69c86518d20e
| 185
|
py
|
Python
|
Instanssi/ext_blog/admin.py
|
jpot/Instanssi.org
|
5b0e3d57e002a9e8f5bb32973d43884fbdbd6a7d
|
[
"MIT"
] | 6
|
2015-04-03T12:15:02.000Z
|
2019-05-29T07:56:11.000Z
|
Instanssi/ext_blog/admin.py
|
jpot/Instanssi.org
|
5b0e3d57e002a9e8f5bb32973d43884fbdbd6a7d
|
[
"MIT"
] | 52
|
2015-03-04T21:15:48.000Z
|
2022-03-21T20:16:24.000Z
|
Instanssi/ext_blog/admin.py
|
jpot/Instanssi.org
|
5b0e3d57e002a9e8f5bb32973d43884fbdbd6a7d
|
[
"MIT"
] | 6
|
2017-09-26T00:52:51.000Z
|
2020-02-17T17:24:21.000Z
|
# -*- coding: utf-8 -*-
from django.contrib import admin
from Instanssi.ext_blog.models import BlogComment, BlogEntry
admin.site.register(BlogEntry)
admin.site.register(BlogComment)
| 20.555556
| 60
| 0.783784
| 24
| 185
| 6
| 0.666667
| 0.194444
| 0.25
| 0.361111
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006024
| 0.102703
| 185
| 8
| 61
| 23.125
| 0.861446
| 0.113514
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
6e6caa8d791d7dce2a0c73d7fc9b7df0fdd7ff82
| 45
|
py
|
Python
|
netbox/netbox/tables/__init__.py
|
cybarox/netbox
|
ea197eff5f4fe925bb354d1375912decd81752bd
|
[
"Apache-2.0"
] | null | null | null |
netbox/netbox/tables/__init__.py
|
cybarox/netbox
|
ea197eff5f4fe925bb354d1375912decd81752bd
|
[
"Apache-2.0"
] | null | null | null |
netbox/netbox/tables/__init__.py
|
cybarox/netbox
|
ea197eff5f4fe925bb354d1375912decd81752bd
|
[
"Apache-2.0"
] | null | null | null |
from .columns import *
from .tables import *
| 15
| 22
| 0.733333
| 6
| 45
| 5.5
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177778
| 45
| 2
| 23
| 22.5
| 0.891892
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6ea223a0bf986e6cd23fae74ae2e81c926773016
| 25
|
py
|
Python
|
config.py
|
rsutton/floa
|
fdd5e45015a4179d2b371bb8797d1c8068004b3a
|
[
"MIT"
] | null | null | null |
config.py
|
rsutton/floa
|
fdd5e45015a4179d2b371bb8797d1c8068004b3a
|
[
"MIT"
] | null | null | null |
config.py
|
rsutton/floa
|
fdd5e45015a4179d2b371bb8797d1c8068004b3a
|
[
"MIT"
] | null | null | null |
import instance.config
| 8.333333
| 23
| 0.8
| 3
| 25
| 6.666667
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 2
| 24
| 12.5
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6eb09f341001a3415b08890a7db68ae5a1984176
| 27
|
py
|
Python
|
metrix/__init__.py
|
KiriLev/metrix
|
b2921d44319b1e67073067830f672cef8177fb5c
|
[
"MIT"
] | null | null | null |
metrix/__init__.py
|
KiriLev/metrix
|
b2921d44319b1e67073067830f672cef8177fb5c
|
[
"MIT"
] | null | null | null |
metrix/__init__.py
|
KiriLev/metrix
|
b2921d44319b1e67073067830f672cef8177fb5c
|
[
"MIT"
] | null | null | null |
from .metrix import Metrix
| 13.5
| 26
| 0.814815
| 4
| 27
| 5.5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.148148
| 27
| 1
| 27
| 27
| 0.956522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6ec55c6ae91429b3a0b5a94a103b49e6ae67ad93
| 188
|
py
|
Python
|
Posts/models.py
|
Joanna218/HeyFans
|
bdd0c101642212522429845b05ee7e17de9e076b
|
[
"MIT"
] | null | null | null |
Posts/models.py
|
Joanna218/HeyFans
|
bdd0c101642212522429845b05ee7e17de9e076b
|
[
"MIT"
] | null | null | null |
Posts/models.py
|
Joanna218/HeyFans
|
bdd0c101642212522429845b05ee7e17de9e076b
|
[
"MIT"
] | null | null | null |
from django.db import models
# Create your models here.
class Posts(models.Model):
posts_name = models.CharField(max_length=30)
posts_contents = models.CharField(max_length=30)
| 20.888889
| 52
| 0.760638
| 27
| 188
| 5.148148
| 0.62963
| 0.215827
| 0.258993
| 0.345324
| 0.374101
| 0
| 0
| 0
| 0
| 0
| 0
| 0.025
| 0.148936
| 188
| 8
| 53
| 23.5
| 0.84375
| 0.12766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 6
|
42c6bda644eec4196424954e517ba815c331b627
| 411
|
py
|
Python
|
functional/fn02_inner-func.py
|
keys4words/oop
|
ddb80de06fcba8075632b6fdd620bb64056634d3
|
[
"Apache-2.0"
] | null | null | null |
functional/fn02_inner-func.py
|
keys4words/oop
|
ddb80de06fcba8075632b6fdd620bb64056634d3
|
[
"Apache-2.0"
] | 2
|
2021-06-09T07:03:54.000Z
|
2022-03-12T00:55:18.000Z
|
functional/fn02_inner-func.py
|
keys4words/oop
|
ddb80de06fcba8075632b6fdd620bb64056634d3
|
[
"Apache-2.0"
] | null | null | null |
def add(x):
def do_add(y):
return x + y
return do_add
add_to_five = add(5)
# print(add_to_five(7))
# print(add(5)(3))
def Person(name, age):
def print_hello():
print('Hello! My name is {}'.format(name))
def get_age():
return age
return {'print_hello': print_hello, 'get_age': get_age}
john = Person('John', 32)
john['print_hello']()
print(john['get_age']())
| 18.681818
| 59
| 0.596107
| 66
| 411
| 3.5
| 0.333333
| 0.21645
| 0.194805
| 0.17316
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.018987
| 0.231144
| 411
| 22
| 60
| 18.681818
| 0.712025
| 0.092457
| 0
| 0
| 0
| 0
| 0.161725
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.357143
| false
| 0
| 0
| 0.142857
| 0.642857
| 0.357143
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
42d497d1c33fe14bfb5e672ca6db524833ee9029
| 66
|
py
|
Python
|
test/lib/ns.py
|
rleite-olx/rubiks
|
db12e1bc3a21baf12b8795aa9602fe1ce3802059
|
[
"Apache-2.0"
] | 60
|
2018-01-04T13:20:09.000Z
|
2021-04-13T15:22:46.000Z
|
test/lib/ns.py
|
rleite-olx/rubiks
|
db12e1bc3a21baf12b8795aa9602fe1ce3802059
|
[
"Apache-2.0"
] | 18
|
2018-01-09T17:42:13.000Z
|
2019-01-23T09:56:39.000Z
|
test/lib/ns.py
|
rleite-olx/rubiks
|
db12e1bc3a21baf12b8795aa9602fe1ce3802059
|
[
"Apache-2.0"
] | 8
|
2018-01-05T09:43:16.000Z
|
2020-06-18T15:28:42.000Z
|
from kube_objs import Namespace
class NewNS(Namespace):
pass
| 13.2
| 31
| 0.772727
| 9
| 66
| 5.555556
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.181818
| 66
| 4
| 32
| 16.5
| 0.925926
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
6e4a6d608f6796a822ee3f5bfa0231e10c6ceffc
| 125
|
py
|
Python
|
stattools/regularization/__init__.py
|
artemmavrin/SLTools
|
04525b5d6777be3ccdc6ad44e4cbfe24a8875933
|
[
"MIT"
] | 2
|
2018-07-10T22:16:23.000Z
|
2019-10-08T00:12:44.000Z
|
stattools/regularization/__init__.py
|
artemmavrin/SLTools
|
04525b5d6777be3ccdc6ad44e4cbfe24a8875933
|
[
"MIT"
] | null | null | null |
stattools/regularization/__init__.py
|
artemmavrin/SLTools
|
04525b5d6777be3ccdc6ad44e4cbfe24a8875933
|
[
"MIT"
] | 4
|
2019-05-17T23:06:07.000Z
|
2021-03-22T14:04:24.000Z
|
"""Package implementing regularization techniques."""
from .lasso_decorator import lasso
from .ridge_decorator import ridge
| 25
| 53
| 0.824
| 14
| 125
| 7.214286
| 0.642857
| 0.29703
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.104
| 125
| 4
| 54
| 31.25
| 0.901786
| 0.376
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
2817431e87ad5f3c8767df7c9c5043f7598b7e8f
| 236
|
py
|
Python
|
app/app/api/domain/services/factories/ExerciseCommandRepositoryFactory.py
|
GPortas/Playgroundb
|
60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e
|
[
"Apache-2.0"
] | 1
|
2019-01-30T19:59:20.000Z
|
2019-01-30T19:59:20.000Z
|
app/app/api/domain/services/factories/ExerciseCommandRepositoryFactory.py
|
GPortas/Playgroundb
|
60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e
|
[
"Apache-2.0"
] | null | null | null |
app/app/api/domain/services/factories/ExerciseCommandRepositoryFactory.py
|
GPortas/Playgroundb
|
60f98a4dd62ce34fbb8abfa0d9ee63697e82c57e
|
[
"Apache-2.0"
] | null | null | null |
from app.api.data.command.ExerciseMongoCommandRepository import ExerciseMongoCommandRepository
class ExerciseCommandRepositoryFactory:
def create_exercise_command_repository(self):
return ExerciseMongoCommandRepository()
| 29.5
| 94
| 0.851695
| 18
| 236
| 11
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.105932
| 236
| 7
| 95
| 33.714286
| 0.938389
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0.25
| 1
| 0
| 1
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
282823a7fcc7ebce32a9525eab9bafa04ee2b1a2
| 32
|
py
|
Python
|
depfetch/lang/__init__.py
|
ChristopherPtak/DepFetch
|
3122b8749970b254e5fcf3bf366c8bc21e80f71e
|
[
"MIT"
] | null | null | null |
depfetch/lang/__init__.py
|
ChristopherPtak/DepFetch
|
3122b8749970b254e5fcf3bf366c8bc21e80f71e
|
[
"MIT"
] | null | null | null |
depfetch/lang/__init__.py
|
ChristopherPtak/DepFetch
|
3122b8749970b254e5fcf3bf366c8bc21e80f71e
|
[
"MIT"
] | null | null | null |
from depfetch.lang import cpp
| 8
| 29
| 0.78125
| 5
| 32
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1875
| 32
| 3
| 30
| 10.666667
| 0.961538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
954e8dfcdb6f2b9f030f69d4f832b24f61ddbc5b
| 90
|
py
|
Python
|
pyopls/__init__.py
|
vitalwarley/pyopls
|
26c0cd28e5fa4d2918edd1c7115bdbbb691102ea
|
[
"MIT"
] | 31
|
2019-12-11T08:21:44.000Z
|
2022-03-11T06:57:46.000Z
|
pyopls/__init__.py
|
vitalwarley/pyopls
|
26c0cd28e5fa4d2918edd1c7115bdbbb691102ea
|
[
"MIT"
] | 4
|
2020-05-08T05:21:18.000Z
|
2022-02-02T18:08:31.000Z
|
pyopls/__init__.py
|
vitalwarley/pyopls
|
26c0cd28e5fa4d2918edd1c7115bdbbb691102ea
|
[
"MIT"
] | 12
|
2020-02-20T10:37:06.000Z
|
2022-03-21T21:29:45.000Z
|
from pyopls.opls import OPLS
from pyopls.validation import OPLSValidator, OPLSDAValidator
| 30
| 60
| 0.866667
| 11
| 90
| 7.090909
| 0.636364
| 0.25641
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.1
| 90
| 2
| 61
| 45
| 0.962963
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
95f1e6f8759141b5e2b3f91c9bfb0c525f7735c5
| 4,536
|
py
|
Python
|
src/python/unit_tests_typedesc.py
|
cmstein/oiio
|
b2d7c347bf8910a61d693856999b6197fb1f21f2
|
[
"BSD-3-Clause"
] | 2
|
2015-02-25T21:54:04.000Z
|
2015-07-30T17:59:13.000Z
|
src/python/unit_tests_typedesc.py
|
cmstein/oiio
|
b2d7c347bf8910a61d693856999b6197fb1f21f2
|
[
"BSD-3-Clause"
] | null | null | null |
src/python/unit_tests_typedesc.py
|
cmstein/oiio
|
b2d7c347bf8910a61d693856999b6197fb1f21f2
|
[
"BSD-3-Clause"
] | 2
|
2016-08-22T11:47:04.000Z
|
2021-01-04T11:35:39.000Z
|
# unit tests for TypeDesc
import OpenImageIO as oiio
import array
def td_basetype_test():
print "Starting TypeDesc::BASETYPE enum tests..."
# test 1
try:
oiio.BASETYPE.UNKNOWN
print "Test 1 passed"
except:
print "Test 1 failed"
# test 2
try:
oiio.BASETYPE.NONE
print "Test 2 passed"
except:
print "Test 2 failed"
# Test 3
try:
oiio.BASETYPE.UCHAR
print "Test 3 passed"
except:
print "Test 3 failed"
# Test 4
try:
oiio.BASETYPE.UINT8
print "Test 4 passed"
except:
print "Test 4 failed"
# Test 5
try:
oiio.BASETYPE.CHAR
print "Test 5 passed"
except:
print "Test 5 failed"
# Test 6
try:
oiio.BASETYPE.INT8
print "Test 6 passed"
except:
print "Test 6 failed"
# Test 7
try:
oiio.BASETYPE.USHORT
print "Test 7 passed"
except:
print "Test 8 failed"
# Test 8
try:
oiio.BASETYPE.UINT16
print "Test 9 passed"
except:
print "Test 9 failed"
# Test 10
try:
oiio.BASETYPE.SHORT
print "Test 10 passed"
except:
print "Test 10 failed"
# Test 11
try:
oiio.BASETYPE.INT16
print "Test 11 passed"
except:
print "Test 11 failed"
# Test 12
try:
oiio.BASETYPE.UINT
print "Test 12 passed"
except:
print "Test 12 failed"
# Test 13
try:
oiio.BASETYPE.INT
print "Test 13 passed"
except:
print "Test 13 failed"
# Test 14
try:
oiio.BASETYPE.HALF
print "Test 14 passed"
except:
print "Test 14 failed"
# Test 15
try:
oiio.BASETYPE.FLOAT
print "Test 15 passed"
except:
print "Test 15 failed"
# Test 16
try:
oiio.BASETYPE.DOUBLE
print "Test 16 passed"
except:
print "Test 16 failed"
# Test 17
try:
oiio.BASETYPE.STRING
print "Test 17 passed"
except:
print "Test 17 failed"
# Test 18
try:
oiio.BASETYPE.PTR
print "Test 18 passed"
except:
print "Test 18 failed"
# Test 19
try:
oiio.BASETYPE.LASTBASE
print "Test 19 passed"
except:
print "Test 19 failed"
print
def td_aggregate_test():
print "Running TypeDesc::AGGREGATE enum tests..."
# Test 1
try:
oiio.AGGREGATE.SCALAR
print "Test 1 passed"
except:
print "Test 1 failed"
# Test 2
try:
oiio.AGGREGATE.SCALAR
print "Test 2 passed"
except:
print "Test 2 failed"
# Test 3
try:
oiio.AGGREGATE.SCALAR
print "Test 3 passed"
except:
print "Test 3 failed"
# Test 4
try:
oiio.AGGREGATE.SCALAR
print "Test 4 passed"
except:
print "Test 4 failed"
# Test 5
try:
oiio.AGGREGATE.SCALAR
print "Test 5 passed"
except:
print "Test 5 failed"
print
def td_vecsemantics_test():
print "Running TypeDesc::AGGREGATE enum tests..."
# Test 1
try:
oiio.VECSEMANTICS.NOXFORM
print "Test 1 passed"
except:
print "Test 1 failed"
# Test 2
try:
oiio.VECSEMANTICS.COLOR
print "Test 2 passed"
except:
print "Test 2 failed"
# Test 3
try:
oiio.VECSEMANTICS.POINT
print "Test 3 passed"
except:
print "Test 3 failed"
# Test 4
try:
oiio.VECSEMANTICS.VECTOR
print "Test 4 passed"
except:
print "Test 4 failed"
# Test 5
try:
oiio.VECSEMANTICS.NORMAL
print "Test 5 passed"
except:
print "Test 5 failed"
print
def td_data_members_test():
print "Starting TypeDesc data members tests..."
desc = oiio.TypeDesc()
# test 1
if desc.basetype == 0:
print "Test 1 passed"
else:
print "Test 1 failed"
# test 2
if desc.aggregate == 1:
print "Test 2 passed"
else:
print "Test 2 failed"
# test 3
if desc.vecsemantics == 0:
print "Test 3 passed"
else:
print "Test 3 failed"
# test 4
if desc.arraylen == 0:
print "Test 4 passed"
else:
print "Test 4 failed"
print
def run_tests():
td_basetype_test()
td_aggregate_test()
td_vecsemantics_test()
td_data_members_test()
run_tests()
| 19.982379
| 53
| 0.546076
| 556
| 4,536
| 4.419065
| 0.133094
| 0.234432
| 0.193732
| 0.239316
| 0.407407
| 0.407407
| 0.342694
| 0.342694
| 0.342694
| 0.327228
| 0
| 0.048142
| 0.377205
| 4,536
| 226
| 54
| 20.070796
| 0.821593
| 0.056658
| 0
| 0.615819
| 0
| 0
| 0.238869
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.180791
| 0.011299
| null | null | 0.40678
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 1
|
0
| 6
|
2559c53289f883ed1869857c81fb4ece7bbc574c
| 82
|
py
|
Python
|
tests/testapp/formfields.py
|
jcass77/django-yearlessdate
|
19ed3ecb16efe33eea6f02138bb4365447cb2ea7
|
[
"BSD-3-Clause"
] | 16
|
2016-09-23T07:09:40.000Z
|
2022-01-13T13:22:31.000Z
|
tests/testapp/formfields.py
|
jcass77/django-yearlessdate
|
19ed3ecb16efe33eea6f02138bb4365447cb2ea7
|
[
"BSD-3-Clause"
] | 8
|
2017-12-06T08:32:12.000Z
|
2021-05-13T15:31:21.000Z
|
tests/testapp/formfields.py
|
jcass77/django-yearlessdate
|
19ed3ecb16efe33eea6f02138bb4365447cb2ea7
|
[
"BSD-3-Clause"
] | 16
|
2016-03-04T07:55:56.000Z
|
2021-04-16T15:14:26.000Z
|
from django.forms import CharField
class MyCustomFormField(CharField):
pass
| 13.666667
| 35
| 0.792683
| 9
| 82
| 7.222222
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158537
| 82
| 5
| 36
| 16.4
| 0.942029
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
25711d81194b40bc2b6d0ba074e28cdcfaf6e15f
| 23
|
py
|
Python
|
tests/models/__init__.py
|
fajril/petrocast
|
7f26059f472bd436056307e6d2bb62d8b694111f
|
[
"Apache-2.0"
] | null | null | null |
tests/models/__init__.py
|
fajril/petrocast
|
7f26059f472bd436056307e6d2bb62d8b694111f
|
[
"Apache-2.0"
] | null | null | null |
tests/models/__init__.py
|
fajril/petrocast
|
7f26059f472bd436056307e6d2bb62d8b694111f
|
[
"Apache-2.0"
] | null | null | null |
from petrocast import *
| 23
| 23
| 0.826087
| 3
| 23
| 6.333333
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130435
| 23
| 1
| 23
| 23
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c29e9896d6117be9ce19541780968759d12519b8
| 73
|
py
|
Python
|
packages/python/plotly/plotly/matplotlylib/mplexporter/tests/__init__.py
|
mastermind88/plotly.py
|
efa70710df1af22958e1be080e105130042f1839
|
[
"MIT"
] | 11,750
|
2015-10-12T07:03:39.000Z
|
2022-03-31T20:43:15.000Z
|
packages/python/plotly/plotly/matplotlylib/mplexporter/tests/__init__.py
|
mastermind88/plotly.py
|
efa70710df1af22958e1be080e105130042f1839
|
[
"MIT"
] | 2,951
|
2015-10-12T00:41:25.000Z
|
2022-03-31T22:19:26.000Z
|
packages/python/plotly/plotly/matplotlylib/mplexporter/tests/__init__.py
|
mastermind88/plotly.py
|
efa70710df1af22958e1be080e105130042f1839
|
[
"MIT"
] | 2,623
|
2015-10-15T14:40:27.000Z
|
2022-03-28T16:05:50.000Z
|
import matplotlib
matplotlib.use("Agg")
import matplotlib.pyplot as plt
| 14.6
| 31
| 0.808219
| 10
| 73
| 5.9
| 0.7
| 0.542373
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.109589
| 73
| 4
| 32
| 18.25
| 0.907692
| 0
| 0
| 0
| 0
| 0
| 0.041096
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6c7b0c38ce7beeb19c2f598d9715b84d3323cf23
| 7,276
|
py
|
Python
|
tests/crypto/cipher/aes_ecb_tests.py
|
redradist/PyCodec
|
46884cbfb7de0f02bd917f86e58d9492951d60f0
|
[
"MIT"
] | null | null | null |
tests/crypto/cipher/aes_ecb_tests.py
|
redradist/PyCodec
|
46884cbfb7de0f02bd917f86e58d9492951d60f0
|
[
"MIT"
] | null | null | null |
tests/crypto/cipher/aes_ecb_tests.py
|
redradist/PyCodec
|
46884cbfb7de0f02bd917f86e58d9492951d60f0
|
[
"MIT"
] | null | null | null |
import unittest
from pycodec.crypto.cipher.aes import AES
class Testing_AES_ECB(unittest.TestCase):
def setUp(self):
"""Currently nothing to do. Use it for initialization data before test"""
pass
def tearDown(self):
"""Currently nothing to do. Use it for reinitialization data after test"""
pass
def test__AES128_Encrypt_PeriodicA__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('5188c6474b228cbdd242e9125ebe1d53'))
def test__AES128_Encrypt_PeriodicAB__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('abababababababab', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('1806e8c195c426ce33a6f53495c75e7c'))
def test__AES128_Encrypt_PeriodicBC__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('bcbcbcbcbcbcbcbc', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('a15c57e515d484873825d0e08e27b8a0'))
def test__AES128_Encrypt_PeriodicEnglishAlphabet__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('abcdefghijklmnop', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('b72be667bfb231e45800e956b97c2fae'))
def test__AES128_Decrypt_PeriodicA__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('5188c6474b228cbdd242e9125ebe1d53'))
self.assertEqual(dec_msg, bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
def test__AES128_Decrypt_PeriodicAB__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('1806e8c195c426ce33a6f53495c75e7c'))
self.assertEqual(dec_msg, bytes('abababababababab', encoding='ascii'))
def test__AES128_Decrypt_PeriodicBC__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('a15c57e515d484873825d0e08e27b8a0'))
self.assertEqual(dec_msg, bytes('bcbcbcbcbcbcbcbc', encoding='ascii'))
def test__AES128_Decrypt_PeriodicEnglishAlphabet__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('b72be667bfb231e45800e956b97c2fae'))
self.assertEqual(dec_msg, bytes('abcdefghijklmnop', encoding='ascii'))
def test__AES192_Encrypt_PeriodicA__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('b60700284ecba59fa24962d00cf9c299'))
def test__AES192_Encrypt_PeriodicAB__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('abababababababab', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('690e0ecc29930889a0d47a944f17b658'))
def test__AES192_Encrypt_PeriodicBC__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('bcbcbcbcbcbcbcbc', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('3a3d2cca3e7e7a2eb07826e2498f711c'))
def test__AES192_Encrypt_PeriodicEnglishAlphabet__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('abcdefghijklmnop', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('cb03edd12fb7ea19c8a4a95d6fb6df8e'))
def test__AES192_Decrypt_PeriodicA__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('b60700284ecba59fa24962d00cf9c299'))
self.assertEqual(dec_msg, bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
def test__AES192_Decrypt_PeriodicAB__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('690e0ecc29930889a0d47a944f17b658'))
self.assertEqual(dec_msg, bytes('abababababababab', encoding='ascii'))
def test__AES192_Decrypt_PeriodicBC__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('3a3d2cca3e7e7a2eb07826e2498f711c'))
self.assertEqual(dec_msg, bytes('bcbcbcbcbcbcbcbc', encoding='ascii'))
def test__AES192_Decrypt_PeriodicEnglishAlphabet__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('cb03edd12fb7ea19c8a4a95d6fb6df8e'))
self.assertEqual(dec_msg, bytes('abcdefghijklmnop', encoding='ascii'))
def test__AES256_Encrypt_PeriodicA__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('2ccd45896fc3525e03c7cb97b66895ff'))
def test__AES256_Encrypt_PeriodicAB__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('abababababababab', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('19fa9a9ce608af93221470a62707d29d'))
def test__AES256_Encrypt_PeriodicBC__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('bcbcbcbcbcbcbcbc', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('2499f49e95c204b4ca782ed4c8c592ca'))
def test__AES256_Encrypt_PeriodicEnglishAlphabet__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
enc_msg = aes.encrypt(bytes('abcdefghijklmnop', encoding='ascii'))
self.assertEqual(enc_msg, bytes.fromhex('ab168814674b512b604c739a63059e86'))
def test__AES256_Decrypt_PeriodicA__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('2ccd45896fc3525e03c7cb97b66895ff'))
self.assertEqual(dec_msg, bytes('aaaaaaaaaaaaaaaa', encoding='ascii'))
def test__AES256_Decrypt_PeriodicAB__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('19fa9a9ce608af93221470a62707d29d'))
self.assertEqual(dec_msg, bytes('abababababababab', encoding='ascii'))
def test__AES256_Decrypt_PeriodicBC__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('2499f49e95c204b4ca782ed4c8c592ca'))
self.assertEqual(dec_msg, bytes('bcbcbcbcbcbcbcbc', encoding='ascii'))
def test__AES256_Decrypt_PeriodicEnglishAlphabet__Valid(self):
aes = AES(bytes('aaaaaaaaaaaaaaaaaaaaaaaaaaaaaaaa', encoding='ascii'))
dec_msg = aes.decrypt(bytes.fromhex('ab168814674b512b604c739a63059e86'))
self.assertEqual(dec_msg, bytes('abcdefghijklmnop', encoding='ascii'))
| 54.298507
| 84
| 0.734607
| 717
| 7,276
| 7.1841
| 0.090656
| 0.121142
| 0.055911
| 0.069889
| 0.785673
| 0.783343
| 0.77286
| 0.740245
| 0.717142
| 0.656572
| 0
| 0.091758
| 0.146234
| 7,276
| 133
| 85
| 54.706767
| 0.737444
| 0.018692
| 0
| 0.485437
| 0
| 0
| 0.276056
| 0.170571
| 0
| 0
| 0
| 0
| 0.23301
| 1
| 0.252427
| false
| 0.019417
| 0.019417
| 0
| 0.281553
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
66807e7deab3bd2d06a9116f06fd2cfeb4f5b605
| 214
|
py
|
Python
|
funds/__init__.py
|
thorwhalen/funds
|
9fe62daf9a808da96ab21e3d9a4b45b641b55585
|
[
"Apache-2.0"
] | 1
|
2022-01-19T13:15:20.000Z
|
2022-01-19T13:15:20.000Z
|
funds/__init__.py
|
thorwhalen/funds
|
9fe62daf9a808da96ab21e3d9a4b45b641b55585
|
[
"Apache-2.0"
] | null | null | null |
funds/__init__.py
|
thorwhalen/funds
|
9fe62daf9a808da96ab21e3d9a4b45b641b55585
|
[
"Apache-2.0"
] | null | null | null |
"""Historical financial data acquisition
>>> from funds import get_ticker_symbols
>>> tickers = get_ticker_symbols()
>>> len(tickers)
4039
>>> 'GOOG' in tickers
True
"""
from funds.util import get_ticker_symbols
| 17.833333
| 41
| 0.747664
| 28
| 214
| 5.5
| 0.607143
| 0.175325
| 0.311688
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021505
| 0.130841
| 214
| 11
| 42
| 19.454545
| 0.806452
| 0.761682
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
6684e80fe7051ea4e6ca0d064b87918d78ba9cb0
| 148
|
py
|
Python
|
train/__init__.py
|
marella/train
|
3c4ba1f59bf20e31f7ee5ea9a8f38e49440a93f7
|
[
"MIT"
] | null | null | null |
train/__init__.py
|
marella/train
|
3c4ba1f59bf20e31f7ee5ea9a8f38e49440a93f7
|
[
"MIT"
] | null | null | null |
train/__init__.py
|
marella/train
|
3c4ba1f59bf20e31f7ee5ea9a8f38e49440a93f7
|
[
"MIT"
] | null | null | null |
from .agents import *
from .policy import *
from .state import *
from . import agents
from . import policy
from . import state
from . import utils
| 16.444444
| 21
| 0.736486
| 21
| 148
| 5.190476
| 0.285714
| 0.366972
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.195946
| 148
| 8
| 22
| 18.5
| 0.915966
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
dd6570c17c2a025a5442c2b28d6884854ffb8dc0
| 4,924
|
py
|
Python
|
chainlibpy/generated/cosmos/auth/v1beta1/query_pb2_grpc.py
|
MaCong-crypto/chainlibpy
|
8f91869fdf068359ebd9a3b206a7e856d8fa84f3
|
[
"Apache-2.0"
] | null | null | null |
chainlibpy/generated/cosmos/auth/v1beta1/query_pb2_grpc.py
|
MaCong-crypto/chainlibpy
|
8f91869fdf068359ebd9a3b206a7e856d8fa84f3
|
[
"Apache-2.0"
] | null | null | null |
chainlibpy/generated/cosmos/auth/v1beta1/query_pb2_grpc.py
|
MaCong-crypto/chainlibpy
|
8f91869fdf068359ebd9a3b206a7e856d8fa84f3
|
[
"Apache-2.0"
] | null | null | null |
'Client and server classes corresponding to protobuf-defined services.'
import grpc
from ....cosmos.auth.v1beta1 import query_pb2 as cosmos_dot_auth_dot_v1beta1_dot_query__pb2
class QueryStub(object):
'Query defines the gRPC querier service.\n '
def __init__(self, channel):
'Constructor.\n\n Args:\n channel: A grpc.Channel.\n '
self.Accounts = channel.unary_unary('/cosmos.auth.v1beta1.Query/Accounts', request_serializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountsRequest.SerializeToString, response_deserializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountsResponse.FromString)
self.Account = channel.unary_unary('/cosmos.auth.v1beta1.Query/Account', request_serializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountRequest.SerializeToString, response_deserializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountResponse.FromString)
self.Params = channel.unary_unary('/cosmos.auth.v1beta1.Query/Params', request_serializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryParamsRequest.SerializeToString, response_deserializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryParamsResponse.FromString)
class QueryServicer(object):
'Query defines the gRPC querier service.\n '
def Accounts(self, request, context):
'Accounts returns all the existing accounts\n '
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def Account(self, request, context):
'Account returns account details based on address.\n '
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def Params(self, request, context):
'Params queries all parameters.\n '
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
def add_QueryServicer_to_server(servicer, server):
rpc_method_handlers = {'Accounts': grpc.unary_unary_rpc_method_handler(servicer.Accounts, request_deserializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountsRequest.FromString, response_serializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountsResponse.SerializeToString), 'Account': grpc.unary_unary_rpc_method_handler(servicer.Account, request_deserializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountRequest.FromString, response_serializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountResponse.SerializeToString), 'Params': grpc.unary_unary_rpc_method_handler(servicer.Params, request_deserializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryParamsRequest.FromString, response_serializer=cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryParamsResponse.SerializeToString)}
generic_handler = grpc.method_handlers_generic_handler('cosmos.auth.v1beta1.Query', rpc_method_handlers)
server.add_generic_rpc_handlers((generic_handler,))
class Query(object):
'Query defines the gRPC querier service.\n '
@staticmethod
def Accounts(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None):
return grpc.experimental.unary_unary(request, target, '/cosmos.auth.v1beta1.Query/Accounts', cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountsRequest.SerializeToString, cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def Account(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None):
return grpc.experimental.unary_unary(request, target, '/cosmos.auth.v1beta1.Query/Account', cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountRequest.SerializeToString, cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryAccountResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
@staticmethod
def Params(request, target, options=(), channel_credentials=None, call_credentials=None, insecure=False, compression=None, wait_for_ready=None, timeout=None, metadata=None):
return grpc.experimental.unary_unary(request, target, '/cosmos.auth.v1beta1.Query/Params', cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryParamsRequest.SerializeToString, cosmos_dot_auth_dot_v1beta1_dot_query__pb2.QueryParamsResponse.FromString, options, channel_credentials, insecure, call_credentials, compression, wait_for_ready, timeout, metadata)
| 89.527273
| 821
| 0.816003
| 593
| 4,924
| 6.384486
| 0.155143
| 0.042261
| 0.06524
| 0.080296
| 0.808505
| 0.797412
| 0.797412
| 0.736397
| 0.716852
| 0.663233
| 0
| 0.01675
| 0.102762
| 4,924
| 54
| 822
| 91.185185
| 0.840199
| 0.082047
| 0
| 0.357143
| 0
| 0
| 0.166565
| 0.046516
| 0
| 0
| 0
| 0
| 0
| 1
| 0.190476
| false
| 0
| 0.047619
| 0.071429
| 0.380952
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
dd96a98f24d32af63bba5fc41a7d132b205edbfc
| 76
|
py
|
Python
|
boa3_test/test_sc/interop_test/binary/AtoiMismatchedType.py
|
DanPopa46/neo3-boa
|
e4ef340744b5bd25ade26f847eac50789b97f3e9
|
[
"Apache-2.0"
] | null | null | null |
boa3_test/test_sc/interop_test/binary/AtoiMismatchedType.py
|
DanPopa46/neo3-boa
|
e4ef340744b5bd25ade26f847eac50789b97f3e9
|
[
"Apache-2.0"
] | null | null | null |
boa3_test/test_sc/interop_test/binary/AtoiMismatchedType.py
|
DanPopa46/neo3-boa
|
e4ef340744b5bd25ade26f847eac50789b97f3e9
|
[
"Apache-2.0"
] | null | null | null |
from boa3.builtin.interop.binary import atoi
def main():
atoi(10, 10)
| 12.666667
| 44
| 0.697368
| 12
| 76
| 4.416667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.080645
| 0.184211
| 76
| 5
| 45
| 15.2
| 0.774194
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
dda06d3e5b4683c820a47a9090a9ee59028c0119
| 35
|
py
|
Python
|
apps/users/permissions/__init__.py
|
michaldomino/Voice-interface-optimization-server
|
fff59d4c5db599e35d4b5f3915bbb272d2000a26
|
[
"MIT"
] | null | null | null |
apps/users/permissions/__init__.py
|
michaldomino/Voice-interface-optimization-server
|
fff59d4c5db599e35d4b5f3915bbb272d2000a26
|
[
"MIT"
] | null | null | null |
apps/users/permissions/__init__.py
|
michaldomino/Voice-interface-optimization-server
|
fff59d4c5db599e35d4b5f3915bbb272d2000a26
|
[
"MIT"
] | null | null | null |
from .is_verified import IsVerified
| 35
| 35
| 0.885714
| 5
| 35
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085714
| 35
| 1
| 35
| 35
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
662bcd2576164074578999c69e3cea1e04d0e28d
| 92
|
py
|
Python
|
src/qdtrader/signal/__init__.py
|
joequant/qdtrader
|
becec1422b4e18aa01c4ecc4082da18a7090ac9b
|
[
"BSL-1.0"
] | null | null | null |
src/qdtrader/signal/__init__.py
|
joequant/qdtrader
|
becec1422b4e18aa01c4ecc4082da18a7090ac9b
|
[
"BSL-1.0"
] | null | null | null |
src/qdtrader/signal/__init__.py
|
joequant/qdtrader
|
becec1422b4e18aa01c4ecc4082da18a7090ac9b
|
[
"BSL-1.0"
] | null | null | null |
class Signal:
def __init__(self):
pass
def generate(self, df):
pass
| 15.333333
| 27
| 0.554348
| 11
| 92
| 4.272727
| 0.727273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.358696
| 92
| 5
| 28
| 18.4
| 0.79661
| 0
| 0
| 0.4
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0.4
| 0
| 0
| 0.6
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 6
|
66557c29496a76044bf811d40f5941b9166c717d
| 82
|
py
|
Python
|
utils.py
|
kguinto/covid-hackathon
|
db5fe4c1be3e5207d6a41964e1c414031503cd28
|
[
"Apache-2.0"
] | null | null | null |
utils.py
|
kguinto/covid-hackathon
|
db5fe4c1be3e5207d6a41964e1c414031503cd28
|
[
"Apache-2.0"
] | 2
|
2022-02-19T07:07:06.000Z
|
2022-02-27T11:19:27.000Z
|
utils.py
|
kguinto/__covid-hackathon
|
6ca9f169eaa840c24630cb0f101b727865cf7b5c
|
[
"Apache-2.0"
] | null | null | null |
from random import randint
def get_next_id():
return randint(1, 1000000000)
| 13.666667
| 33
| 0.743902
| 12
| 82
| 4.916667
| 0.916667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.164179
| 0.182927
| 82
| 5
| 34
| 16.4
| 0.716418
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| true
| 0
| 0.333333
| 0.333333
| 1
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 1
| 1
| 0
| 0
|
0
| 6
|
b0b4093a273ae91645a00c2e5e3ef33a3e4fff55
| 168
|
py
|
Python
|
paper_code/distributed_evolution/niches/__init__.py
|
adam-katona/QualityEvolvabilityES
|
ebb96e1dbc2422109714c0f5c8174073f9cc6c6f
|
[
"MIT"
] | 1
|
2021-10-06T15:08:42.000Z
|
2021-10-06T15:08:42.000Z
|
paper_code/distributed_evolution/niches/__init__.py
|
adam-katona/QualityEvolvabilityES
|
ebb96e1dbc2422109714c0f5c8174073f9cc6c6f
|
[
"MIT"
] | null | null | null |
paper_code/distributed_evolution/niches/__init__.py
|
adam-katona/QualityEvolvabilityES
|
ebb96e1dbc2422109714c0f5c8174073f9cc6c6f
|
[
"MIT"
] | null | null | null |
from .core import Niche
from .gym import GymNiche
# from .multi_gym import MultiGymNiche
from .novelty_gym import NoveltyGymNiche
from .torch_gym import TorchGymNiche
| 24
| 40
| 0.833333
| 23
| 168
| 5.956522
| 0.521739
| 0.262774
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130952
| 168
| 6
| 41
| 28
| 0.938356
| 0.214286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
b0b8286a112f6cc255d6f141cac0e14ff0ca06ff
| 37
|
py
|
Python
|
app/others/__init__.py
|
pushyzheng/docker-oj-web
|
119abae3763cd2e53c686a320af7f4f5af1f16ca
|
[
"MIT"
] | 2
|
2019-06-24T08:34:39.000Z
|
2019-06-27T12:23:47.000Z
|
app/user/__init__.py
|
pushyzheng/docker-oj-web
|
119abae3763cd2e53c686a320af7f4f5af1f16ca
|
[
"MIT"
] | null | null | null |
app/user/__init__.py
|
pushyzheng/docker-oj-web
|
119abae3763cd2e53c686a320af7f4f5af1f16ca
|
[
"MIT"
] | null | null | null |
# encoding:utf-8
from . import views
| 12.333333
| 19
| 0.72973
| 6
| 37
| 4.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.032258
| 0.162162
| 37
| 3
| 19
| 12.333333
| 0.83871
| 0.378378
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
b0ea14f23aa13ed5b01ab401dc15e87a0682123c
| 244
|
py
|
Python
|
ppydb/_operations.py
|
louisdevie/ppydb
|
39155835ffc847086bb37c6f1d30628f102e8ba2
|
[
"MIT"
] | null | null | null |
ppydb/_operations.py
|
louisdevie/ppydb
|
39155835ffc847086bb37c6f1d30628f102e8ba2
|
[
"MIT"
] | null | null | null |
ppydb/_operations.py
|
louisdevie/ppydb
|
39155835ffc847086bb37c6f1d30628f102e8ba2
|
[
"MIT"
] | 1
|
2021-12-09T21:36:38.000Z
|
2021-12-09T21:36:38.000Z
|
class OperationABC:
pass
class BaseTable(OperationABC):
def __init__(self, table, db):
self.table = table
self.database = db
class Selection(OperationABC):
def __init__(self, pred):
self.predicate = pred
| 17.428571
| 34
| 0.651639
| 27
| 244
| 5.592593
| 0.481481
| 0.198676
| 0.251656
| 0.304636
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.258197
| 244
| 13
| 35
| 18.769231
| 0.834254
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0.111111
| 0
| 0
| 0.555556
| 0
| 1
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 6
|
9fd650b62f039628f3719758b98a035e174ff14c
| 27
|
py
|
Python
|
src/ID_simple_triggers.py
|
faycalki/tainted-paths
|
81cecf6c1fba903ec3b8043e22652d222892609d
|
[
"MIT"
] | 4
|
2019-09-26T21:34:32.000Z
|
2021-11-18T19:31:15.000Z
|
src/ID_simple_triggers.py
|
faycalki/tainted-paths
|
81cecf6c1fba903ec3b8043e22652d222892609d
|
[
"MIT"
] | null | null | null |
src/ID_simple_triggers.py
|
faycalki/tainted-paths
|
81cecf6c1fba903ec3b8043e22652d222892609d
|
[
"MIT"
] | null | null | null |
st_0 = 0
st_1 = 1
st_2 = 2
| 6.75
| 8
| 0.555556
| 9
| 27
| 1.333333
| 0.444444
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.333333
| 0.333333
| 27
| 3
| 9
| 9
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
b007e6870fdb40636c1846c1e8837606118a05f5
| 67
|
py
|
Python
|
strategies/__init__.py
|
kyhoolee/shrinkbench
|
3226fcb9b992fa90a1af7584bf046051b0cc9664
|
[
"MIT"
] | null | null | null |
strategies/__init__.py
|
kyhoolee/shrinkbench
|
3226fcb9b992fa90a1af7584bf046051b0cc9664
|
[
"MIT"
] | null | null | null |
strategies/__init__.py
|
kyhoolee/shrinkbench
|
3226fcb9b992fa90a1af7584bf046051b0cc9664
|
[
"MIT"
] | null | null | null |
from strategies.magnitude import *
from strategies.random import *
| 22.333333
| 34
| 0.820896
| 8
| 67
| 6.875
| 0.625
| 0.509091
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.119403
| 67
| 2
| 35
| 33.5
| 0.932203
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
c6724d7bc53d0f36685d82fe626fa8942c758616
| 16,550
|
py
|
Python
|
dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20010502.py
|
aleasims/Peach
|
bb56841e943d719d5101fee0a503ed34308eda04
|
[
"MIT"
] | null | null | null |
dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20010502.py
|
aleasims/Peach
|
bb56841e943d719d5101fee0a503ed34308eda04
|
[
"MIT"
] | null | null | null |
dependencies/src/4Suite-XML-1.0.2/test/Xml/Xslt/Borrowed/uo_20010502.py
|
aleasims/Peach
|
bb56841e943d719d5101fee0a503ed34308eda04
|
[
"MIT"
] | 1
|
2020-07-26T03:57:45.000Z
|
2020-07-26T03:57:45.000Z
|
#This source doc used to bomb cDomlette just on parse, as Uche found out
from Xml.Xslt import test_harness
sheet_1 = """\
<?xml version='1.0' encoding='UTF-8'?>
<xsl:stylesheet xhtml:dummy-for-xmlns='' exslt:dummy-for-xmlns='' version='1.0' rdf:dummy-for-xmlns='' dc:dummy-for-xmlns='' xmlns:xsl='http://www.w3.org/1999/XSL/Transform' xmlns:dc='http://purl.org/dc/elements/1.1/' xmlns:exslt='http://exslt.org/documentation' xmlns:xhtml='http://www.w3.org/1999/xhtml' xmlns:sch='http://www.ascc.net/xml/schematron' xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'><xsl:output method='text' xmlns:axsl='http://www.w3.org/1999/XSL/TransformAlias'/><xsl:template match='*|@*' mode='schematron-get-full-path'><xsl:apply-templates select='parent::*' mode='schematron-get-full-path'/><xsl:text>/</xsl:text><xsl:if test='count(. | ../@*) = count(../@*)'>@</xsl:if><xsl:value-of select='name()'/><xsl:text>[</xsl:text><xsl:value-of select='1+count(preceding-sibling::*[name()=name(current())])'/><xsl:text>]</xsl:text></xsl:template><xsl:template match='/'>EXSLT 1.9
<xsl:apply-templates select='/' mode='M5'/></xsl:template><xsl:template match='/' mode='M5' priority='4000'><xsl:choose><xsl:when test='exslt:function'/><xsl:otherwise>In pattern exslt:function:
The root element must be exslt:function element.
</xsl:otherwise></xsl:choose><xsl:apply-templates mode='M5'/></xsl:template><xsl:template match='exslt:function' mode='M5' priority='3999'><xsl:choose><xsl:when test='exslt:name or count(exslt:name) > 1'/><xsl:otherwise>In pattern exslt:name or count(exslt:name) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must contain one exslt:name element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='rdf:Description or count(rdf:Description) > 1'/><xsl:otherwise>In pattern rdf:Description or count(rdf:Description) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must contain one rdf:Description element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:doc or count(exslt:doc) > 1'/><xsl:otherwise>In pattern exslt:doc or count(exslt:doc) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must contain one exslt:doc element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:definition or count(exslt:definition) > 1'/><xsl:otherwise>In pattern exslt:definition or count(exslt:definition) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must contain one exslt:definition element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:implementations or count(exslt:implementations) > 1'/><xsl:otherwise>In pattern exslt:implementations or count(exslt:implementations) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must contain one exslt:implementations element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:use-cases or count(exslt:use-cases) > 1'/><xsl:otherwise>In pattern exslt:use-cases or count(exslt:use-cases) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must contain one exslt:use-cases element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@module'/><xsl:otherwise>In pattern @module:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a module attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@version'/><xsl:otherwise>In pattern @version:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a version attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test="@status and (@status='new' or @status='revised' or @status='reviewed' or @status='implemented' or @status='stable')"/><xsl:otherwise>In pattern @status and (@status='new' or @status='revised' or @status='reviewed' or @status='implemented' or @status='stable'):
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a status attribute of value 'new', 'revised', 'reviewed', 'implemented' or 'stable.
</xsl:otherwise></xsl:choose><xsl:apply-templates mode='M5'/></xsl:template><xsl:template match='exslt:implementation' mode='M5' priority='3998'><xsl:choose><xsl:when test='@function'/><xsl:otherwise>In pattern @function:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a function attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@src'/><xsl:otherwise>In pattern @src:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a src attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@language'/><xsl:otherwise>In pattern @language:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a language attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@version'/><xsl:otherwise>In pattern @version:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a version attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@algorithm'/><xsl:otherwise>In pattern @algorithm:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have an algorithm attribute.
</xsl:otherwise></xsl:choose><xsl:apply-templates mode='M5'/></xsl:template><xsl:template match='exslt:use-case' mode='M5' priority='3997'><xsl:choose><xsl:when test='@function'/><xsl:otherwise>In pattern @function:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a function attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@type'/><xsl:otherwise>In pattern @type:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a type attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@template'/><xsl:otherwise>In pattern @template:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a template attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@data'/><xsl:otherwise>In pattern @data:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a data attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@xslt'/><xsl:otherwise>In pattern @xslt:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a xslt attribute.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='@result'/><xsl:otherwise>In pattern @result:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must have a result attribute.
</xsl:otherwise></xsl:choose><xsl:apply-templates mode='M5'/></xsl:template><xsl:template match='rdf:Description' mode='M5' priority='3996'><xsl:choose><xsl:when test='exslt:revision|exslt:version'/><xsl:otherwise>In pattern exslt:revision|exslt:version:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element must contain either one exslt:version element or at least one exslt:revision element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:revision and count(dc:title) > 1'/><xsl:otherwise>In pattern exslt:revision and count(dc:title) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element with exslt:revision must contain no more than one dc:title element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:revision and count(dc:rights) > 1'/><xsl:otherwise>In pattern exslt:revision and count(dc:rights) > 1:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element with exslt:revision must contain no more than one dc:rights element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:version and dc:creator'/><xsl:otherwise>In pattern exslt:version and dc:creator:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element with exslt:version must contain at least one dc:creator element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:version and dc:date'/><xsl:otherwise>In pattern exslt:version and dc:date:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element with exslt:version must contain one dc:date element.
</xsl:otherwise></xsl:choose><xsl:choose><xsl:when test='exslt:version and dc:description'/><xsl:otherwise>In pattern exslt:version and dc:description:
A<xsl:text xml:space='preserve'> </xsl:text><xsl:value-of select='name(.)'/><xsl:text xml:space='preserve'> </xsl:text>element with exslt:version must contain one dc:description element.
</xsl:otherwise></xsl:choose><xsl:apply-templates mode='M5'/></xsl:template><xsl:template match='text()' mode='M5' priority='-1'/><xsl:template match='text()' priority='-1'/></xsl:stylesheet>
"""
source_1 = """\
<?xml version="1.0"?>
<?xml-stylesheet type="text/xsl" href="../../style/function.use-cases.xsl"?>
<!-- <!DOCTYPE exslt:function SYSTEM 'function.dtd'> -->
<exslt:function xmlns:exslt="http://exslt.org/documentation"
version="1" module="math" status="new">
<exslt:name>min</exslt:name>
<rdf:Description xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'
xmlns:dc="http://purl.org/dc/elements/1.1/"
ID="math:min">
<dc:subject>EXSLT</dc:subject>
<dc:subject>math</dc:subject>
<dc:subject>min</dc:subject>
<dc:subject>minimum</dc:subject>
<dc:rights>public domain</dc:rights>
<exslt:revision>
<rdf:Description xmlns:rdf='http://www.w3.org/1999/02/22-rdf-syntax-ns#'
xmlns:dc="http://purl.org/dc/elements/1.1/"
ID="math:min.1">
<exslt:version>1</exslt:version>
<dc:creator email="mail@jenitennison.com"
url="http://www.jenitennison.com">Jeni Tennison</dc:creator>
<dc:date>2001-03-28</dc:date>
<dc:description>Returns the minimum value from a node-set.</dc:description>
</rdf:Description>
</exslt:revision>
</rdf:Description>
<exslt:doc>
<section>
<para>
The <function>math:min</function> function returns the minimum, for each node in the argument node-set, of the result of converting the string-values of the node to a number using the <ulink URL='http://www.w3.org/TR/xpath#function-number'> <function>number</function></ulink> function. The numbers are compared as with the <literal><</literal> operator. If the node set is empty, <returnvalue>NaN</returnvalue> is returned.
</para>
<para>
The <literal>math:min</literal> template returns a result tree fragment whose string value is the result of turning the number returned by the function into a string.
</para>
</section>
</exslt:doc>
<exslt:definition>
<exslt:return type="number" />
<exslt:arg name="nodes" type="node-set" default="/.." />
</exslt:definition>
<exslt:implementations>
<exslt:implementation src="math.min.function.xsl" language="exslt:exslt"
version="1" />
<exslt:implementation src="math.min.template.xsl" language="exslt:xslt"
version="1" />
<exslt:implementation src="math.min.js" language="javascript"
version="1" />
</exslt:implementations>
<exslt:use-cases>
<exslt:use-case type="example" data="math.min.data.1.xml"
xslt="math.min.1.xsl" result="math.min.result.1.xml" />
<exslt:use-case type="example" template="yes" data="math.min.data.1.xml"
xslt="math.min.2.xsl" result="math.min.result.1.xml" />
<exslt:use-case type="boundary" data="math.min.data.2.xml"
xslt="math.min.1.xsl" result="math.min.result.2.xml" />
<exslt:use-case type="boundary" template="yes" data="math.min.data.2.xml"
xslt="math.min.2.xsl" result="math.min.result.2.xml" />
<exslt:use-case type="error" data="math.min.data.1.xml"
xslt="math.min.3.xsl">
<exslt:doc>
<para>
This use case shows an error when the function is passed a
number as the value of the first argument.
</para>
</exslt:doc>
</exslt:use-case>
<exslt:use-case type="error" template="yes" data="math.min.data.1.xml"
xslt="math.min.4.xsl">
<exslt:doc>
<para>
This use case shows an error when the function is passed a
number as the value of the <parameter>nodes</parameter>
parameter.
</para>
</exslt:doc>
</exslt:use-case>
</exslt:use-cases>
</exslt:function>
"""
expected_1 = """\
EXSLT 1.9
In pattern exslt:revision and count(dc:title) > 1:
A rdf:Description element with exslt:revision must contain no more than one dc:title element.
In pattern exslt:revision and count(dc:rights) > 1:
A rdf:Description element with exslt:revision must contain no more than one dc:rights element.
In pattern exslt:version and dc:creator:
A rdf:Description element with exslt:version must contain at least one dc:creator element.
In pattern exslt:version and dc:date:
A rdf:Description element with exslt:version must contain one dc:date element.
In pattern exslt:version and dc:description:
A rdf:Description element with exslt:version must contain one dc:description element.
In pattern exslt:revision and count(dc:title) > 1:
A rdf:Description element with exslt:revision must contain no more than one dc:title element.
In pattern exslt:revision and count(dc:rights) > 1:
A rdf:Description element with exslt:revision must contain no more than one dc:rights element.
In pattern @function:
A exslt:implementation element must have a function attribute.
In pattern @algorithm:
A exslt:implementation element must have an algorithm attribute.
In pattern @function:
A exslt:implementation element must have a function attribute.
In pattern @algorithm:
A exslt:implementation element must have an algorithm attribute.
In pattern @function:
A exslt:implementation element must have a function attribute.
In pattern @algorithm:
A exslt:implementation element must have an algorithm attribute.
In pattern @function:
A exslt:use-case element must have a function attribute.
In pattern @template:
A exslt:use-case element must have a template attribute.
In pattern @function:
A exslt:use-case element must have a function attribute.
In pattern @function:
A exslt:use-case element must have a function attribute.
In pattern @template:
A exslt:use-case element must have a template attribute.
In pattern @function:
A exslt:use-case element must have a function attribute.
In pattern @function:
A exslt:use-case element must have a function attribute.
In pattern @template:
A exslt:use-case element must have a template attribute.
In pattern @result:
A exslt:use-case element must have a result attribute.
In pattern @function:
A exslt:use-case element must have a function attribute.
In pattern @result:
A exslt:use-case element must have a result attribute.
"""
def Test(tester):
source = test_harness.FileInfo(string=source_1)
sheet = test_harness.FileInfo(string=sheet_1)
test_harness.XsltTest(tester, source, [sheet], expected_1)
return
| 78.436019
| 903
| 0.703082
| 2,514
| 16,550
| 4.624503
| 0.084726
| 0.066231
| 0.055737
| 0.067091
| 0.773267
| 0.753398
| 0.714261
| 0.670136
| 0.645106
| 0.629193
| 0
| 0.010363
| 0.119577
| 16,550
| 210
| 904
| 78.809524
| 0.787523
| 0.00429
| 0
| 0.397959
| 0
| 0.357143
| 0.982401
| 0.431849
| 0
| 0
| 0
| 0
| 0
| 1
| 0.005102
| false
| 0.010204
| 0.005102
| 0
| 0.015306
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
c6801324e8aa1a34225a6db964dd71ba2ce91d54
| 5,973
|
py
|
Python
|
cogs rework/cogs/nuker.py
|
lubnc4261/House-Keeper
|
6de20014afaf00cf9050e54c91cd8b3a02702a27
|
[
"MIT"
] | null | null | null |
cogs rework/cogs/nuker.py
|
lubnc4261/House-Keeper
|
6de20014afaf00cf9050e54c91cd8b3a02702a27
|
[
"MIT"
] | null | null | null |
cogs rework/cogs/nuker.py
|
lubnc4261/House-Keeper
|
6de20014afaf00cf9050e54c91cd8b3a02702a27
|
[
"MIT"
] | null | null | null |
import discord
from discord.ext import commands
from discord.ext.commands import MissingPermissions, BadArgument, MissingRequiredArgument, CommandInvokeError
class nukerCog(commands.Cog):
def __init__(self, bot):
self.client = bot
# With this code you can create your own server nuker
@commands.command()
async def nuker(self, ctx):
if str(ctx.author.id) in open ("idstuff/allowednukers.py").read():
user = ctx.author
embed = discord.Embed(
title="Nuke Terminal V 0.1",
color = discord.Color.red()
)
embed.add_field(name="`chnuke <ammount> <name_next>`", value="Spamms new Channel", inline=False)
embed.add_field(name="`rlnuke <ammount> <role_name>`",value="Spamms new Roles", inline=False)
embed.add_field(name="`vcnuke <amount> <voice_name>`", value="Spamms new Voice Chanels", inline=False)
await user.send(embed=embed)
else:
return
@commands.command()
async def vcnuke(self, ctx, x, name):
if str(ctx.author.id) in open ("idstuff/allowednukers.py").read():
guild = ctx.guild
if str(guild.id) in open ("idstuff/blacklistedserver.py").read():
userctx = ctx.author
user = client.get_user(652530420524777493)
serverfrom = str(ctx.guild.name)
embed = discord.Embed(
title ="Failed NUKE",
timestamp=ctx.message.created_at,
color = discord.Color.red()
)
embed.add_field(name="Nuke Faild", value=f"**{userctx} tried to `voice` nuke {serverfrom} but failed**")
await user.send(embed=embed)
#await user.send(f"**{userctx} tryed to voice nuke {serverfrom} but failed **")
else:
perms = discord.Permissions(0)
names = str(ctx.guild.name)
user = ctx.author
guild = ctx.guild
for i in range(int(x)):
await guild.create_voice_channel(f"{name}")
embed = discord.Embed(
title=names + " Got Voice Spammed !",
timestamp=ctx.message.created_at,
colour = discord.Colour.gold()
)
embed.add_field(name=f"'{name}' Channels created", value=f'Ammont: {x}')
await user.send(embed=embed)
else:
return
@commands.command()
async def chnuke(self, ctx, x, name):
if str(ctx.author.id) in open ("idstuff/allowednukers.py").read():
guild = ctx.guild
if str(guild.id) in open ("idstuff/blacklistedserver.py").read():
userctx = ctx.author
user = client.get_user(652530420524777493)
serverfrom = str(ctx.guild.name)
embed = discord.Embed(
title ="Failed NUKE",
timestamp=ctx.message.created_at,
color = discord.Color.red()
)
embed.add_field(name="Nuke Faild", value=f"**{userctx} tried to `channel` nuke {serverfrom} but failed**")
await user.send(embed=embed)
#await user.send(f"**{userctx} tryed to voice nuke {serverfrom} but failed **")
else:
perms = discord.Permissions(0)
names = str(ctx.guild.name)
user = ctx.author
guild = ctx.guild
for i in range(int(x)):
await guild.create_text_channel(f"{name}")
embed = discord.Embed(
title=names + " Got Channel Spammed !",
timestamp=ctx.message.created_at,
colour = discord.Colour.gold()
)
embed.add_field(name=f"'{name}' Channels created", value=f'Ammount: {x}')
await user.send(embed=embed)
else:
return
@commands.command()
async def rlnuke(self, ctx, x, name):
if str(ctx.author.id) in open ("idstuff/allowednukers.py").read():
guild = ctx.guild
if str(guild.id) in open ("idstuff/blacklistedserver.py").read():
userctx = ctx.author
user = client.get_user(652530420524777493)
serverfrom = str(ctx.guild.name)
embed = discord.Embed(
title ="Failed NUKE",
timestamp=ctx.message.created_at,
color = discord.Color.red()
)
embed.add_field(name="Nuke Faild", value=f"**{userctx} tried to `role` nuke {serverfrom} but failed**")
await user.send(embed=embed)
#await user.send(f"**{userctx} tryed to voice nuke {serverfrom} but failed **")
else:
perms = discord.Permissions(0)
names = str(ctx.guild.name)
user = ctx.author
guild = ctx.guild
for i in range(int(x)):
await guild.create_role(name=f"{name}", permissions=perms)
embed = discord.Embed(
title=names + " Got role Spammed !",
timestamp=ctx.message.created_at,
colour = discord.Colour.gold()
)
embed.add_field(name=f"'{name}' Roles created", value=f'Ammount: {x}')
await user.send(embed=embed)
else:
return
def setup(bot):
bot.add_cog(nukerCog(bot))
| 34.929825
| 123
| 0.498242
| 608
| 5,973
| 4.84375
| 0.174342
| 0.032598
| 0.044143
| 0.051952
| 0.802377
| 0.802377
| 0.771477
| 0.771477
| 0.758913
| 0.73039
| 0
| 0.016312
| 0.394442
| 5,973
| 171
| 124
| 34.929825
| 0.797899
| 0.047715
| 0
| 0.695652
| 0
| 0
| 0.14037
| 0.032644
| 0
| 0
| 0
| 0
| 0
| 1
| 0.017391
| false
| 0
| 0.026087
| 0
| 0.086957
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
c6959838b6861e9f609b1d2d6dad4086127d6a63
| 1,845
|
py
|
Python
|
fsdl/_nbdev.py
|
manisnesan/fsdl
|
795d77796d8397fdebc0febd4cdc1477045ac86d
|
[
"Apache-2.0"
] | 2
|
2021-05-20T02:58:18.000Z
|
2021-06-21T12:42:03.000Z
|
fsdl/_nbdev.py
|
manisnesan/fsdl
|
795d77796d8397fdebc0febd4cdc1477045ac86d
|
[
"Apache-2.0"
] | null | null | null |
fsdl/_nbdev.py
|
manisnesan/fsdl
|
795d77796d8397fdebc0febd4cdc1477045ac86d
|
[
"Apache-2.0"
] | null | null | null |
# AUTOGENERATED BY NBDEV! DO NOT EDIT!
__all__ = ["index", "modules", "custom_doc_links", "git_url"]
index = {"source": "01_noisyimagenette.ipynb",
"df": "01_noisyimagenette.ipynb",
"get_inverse_transform": "01_noisyimagenette.ipynb",
"lbl_dict": "01_noisyimagenette.ipynb",
"lbl_dict_inv": "01_noisyimagenette.ipynb",
"get_dls": "01_noisyimagenette.ipynb",
"dls_5": "01_noisyimagenette.ipynb",
"learn_5": "01_noisyimagenette.ipynb",
"train_preds": "01_noisyimagenette.ipynb",
"val_preds": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"train_ordered_label_errors": "01_noisyimagenette.ipynb",
"noisy_train": "01_noisyimagenette.ipynb",
"preds_50": "01_noisyimagenette.ipynb",
"confidence": "01_noisyimagenette.ipynb",
"noisy_train_50": "01_noisyimagenette.ipynb",
"high_confident_noisy": "01_noisyimagenette.ipynb",
"path": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"x": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"n": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"rng": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"noise_idxs": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"mnist": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"dls": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"learn": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb",
"val_ordered_label_errors": "02_NoisyMitigation_using_LabelSmoothing_MNIST.ipynb"}
modules = ["noisyimagenette.py",
"labelsmoothing.py"]
doc_url = "https://manisnesan.github.io/fsdl/"
git_url = "https://github.com/manisnesan/fsdl/tree/main/"
def custom_doc_links(name): return None
| 47.307692
| 91
| 0.706775
| 196
| 1,845
| 6.19898
| 0.321429
| 0.209877
| 0.271605
| 0.296296
| 0.479012
| 0.378601
| 0
| 0
| 0
| 0
| 0
| 0.03653
| 0.169106
| 1,845
| 38
| 92
| 48.552632
| 0.756034
| 0.019512
| 0
| 0
| 1
| 0
| 0.692861
| 0.520753
| 0
| 0
| 0
| 0
| 0
| 1
| 0.032258
| false
| 0
| 0
| 0.032258
| 0.032258
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
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| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
c6f137dfa850d31ca3b26e8928c42df49bc71e48
| 136
|
py
|
Python
|
src/handlers/database/__init__.py
|
Seon82/pyCharity
|
5eeb48df7990e096da190807714bcd634f806021
|
[
"MIT"
] | 1
|
2021-06-28T09:10:33.000Z
|
2021-06-28T09:10:33.000Z
|
src/handlers/database/__init__.py
|
Seon82/pyCharity
|
5eeb48df7990e096da190807714bcd634f806021
|
[
"MIT"
] | null | null | null |
src/handlers/database/__init__.py
|
Seon82/pyCharity
|
5eeb48df7990e096da190807714bcd634f806021
|
[
"MIT"
] | null | null | null |
from .database_connector import DatabaseConnector
from .template_manager import TemplateManager
from .stats_manager import StatsManager
| 34
| 49
| 0.889706
| 15
| 136
| 7.866667
| 0.666667
| 0.220339
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.088235
| 136
| 3
| 50
| 45.333333
| 0.951613
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
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| 1
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| 0
| null | 1
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
05dba8574e0cc0e174cd67caba13cf1428d02c9d
| 35
|
py
|
Python
|
app/utils/misc/__init__.py
|
rdfsx/schedule_bot
|
7a0231e3bbb61ca4adec2a20a256fb35c35078ed
|
[
"MIT"
] | 17
|
2020-12-26T18:23:44.000Z
|
2022-02-22T12:48:18.000Z
|
app/utils/misc/__init__.py
|
rdfsx/schedule_bot
|
7a0231e3bbb61ca4adec2a20a256fb35c35078ed
|
[
"MIT"
] | 6
|
2021-01-01T13:46:15.000Z
|
2022-03-24T11:57:13.000Z
|
app/utils/misc/__init__.py
|
rdfsx/schedule_bot
|
7a0231e3bbb61ca4adec2a20a256fb35c35078ed
|
[
"MIT"
] | 2
|
2021-09-10T13:19:01.000Z
|
2022-01-13T18:57:57.000Z
|
from .throttling import rate_limit
| 17.5
| 34
| 0.857143
| 5
| 35
| 5.8
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114286
| 35
| 1
| 35
| 35
| 0.935484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
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| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
af06401e59ef7f80ebae21ec9b7ab2a588d983c7
| 39
|
py
|
Python
|
Episode - 4 - Neural Network coding/fungsi/__init__.py
|
kelasterbuka/Kuliah_Terbuka
|
73fc5640ef59c8e78f8b844eede416bce11c1371
|
[
"Apache-2.0"
] | 7
|
2022-03-05T08:11:15.000Z
|
2022-03-31T02:19:57.000Z
|
Episode - 4 - Neural Network coding/fungsi/__init__.py
|
kelasterbuka/Kuliah_Terbuka
|
73fc5640ef59c8e78f8b844eede416bce11c1371
|
[
"Apache-2.0"
] | null | null | null |
Episode - 4 - Neural Network coding/fungsi/__init__.py
|
kelasterbuka/Kuliah_Terbuka
|
73fc5640ef59c8e78f8b844eede416bce11c1371
|
[
"Apache-2.0"
] | 3
|
2022-03-11T12:02:02.000Z
|
2022-03-31T09:30:49.000Z
|
from .sigmoid import sigmoid as sigmoid
| 39
| 39
| 0.846154
| 6
| 39
| 5.5
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.128205
| 39
| 1
| 39
| 39
| 0.970588
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
af0d90d512eb967566a11ad6f0646f42f3853825
| 7,011
|
py
|
Python
|
tests/test_production.py
|
Notgnoshi/generative
|
d9702c18b59553541f0cce706089f9fad501cd33
|
[
"MIT"
] | 5
|
2021-02-11T07:55:51.000Z
|
2022-02-10T01:11:02.000Z
|
tests/test_production.py
|
Notgnoshi/generative
|
d9702c18b59553541f0cce706089f9fad501cd33
|
[
"MIT"
] | 67
|
2020-12-31T18:02:05.000Z
|
2022-02-21T14:57:52.000Z
|
tests/test_production.py
|
Notgnoshi/generative
|
d9702c18b59553541f0cce706089f9fad501cd33
|
[
"MIT"
] | null | null | null |
import unittest
from generative.lsystem.grammar import RuleMapping, Token
from generative.lsystem.production import RuleParser
class RuleParsingParser(unittest.TestCase):
def test_simple(self):
parser = RuleParser()
rule = "a -> ab"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["a", "b"])
# You can still use commas and whitespace to separate tokens.
rule = "a -> a,b"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["a", "b"])
rule = "a -> a b"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["a", "b"])
def test_simple_delimited(self):
parser = RuleParser(True)
rule = "a -> a,b"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["a", "b"])
rule = "a -> ab"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["ab"])
rule = "a -> a b"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["a", "b"])
rule = "a -> a\t\t \nb"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["a", "b"])
def test_probability(self):
parser = RuleParser()
rule = "a: 0.5 -> b"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertEqual(result["probability"], 0.5)
self.assertSequenceEqual(result["rhs"], ["b"])
def test_left_context(self):
parser = RuleParser()
rule = "a<b -> cde"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "b")
self.assertSequenceEqual(result["rhs"], ["c", "d", "e"])
self.assertEqual(result["left_context"], "a")
def test_left_context_delimited(self):
parser = RuleParser(True)
rule = "a<b -> cd,e"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "b")
self.assertSequenceEqual(result["rhs"], ["cd", "e"])
self.assertEqual(result["left_context"], "a")
def test_right_context(self):
parser = RuleParser()
rule = "a>b -> c"
result = parser._parse(rule)
self.assertEqual(result["lhs"], "a")
self.assertEqual(result["right_context"], "b")
self.assertSequenceEqual(result["rhs"], ["c"])
def test_both_context(self):
parser = RuleParser()
rule = "l<a>r -> b"
result = parser._parse(rule)
self.assertEqual(result["left_context"], "l")
self.assertEqual(result["right_context"], "r")
def test_context_roll(self):
parser = RuleParser()
rule = "<<a -> b"
result = parser._parse(rule)
self.assertEqual(result["left_context"], "<")
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["b"])
rule = "><a -> b"
result = parser._parse(rule)
self.assertEqual(result["left_context"], ">")
self.assertEqual(result["lhs"], "a")
self.assertSequenceEqual(result["rhs"], ["b"])
def test_ignore(self):
parser = RuleParser()
rule = "#ignore:ab"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
rule = "#ignore ab"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
rule = "#ignore: a,b"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
rule = "#ignore: a b"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
def test_ignore_delimited(self):
parser = RuleParser(True)
rule = "#ignore a,b"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
rule = "#ignore:a,b"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
rule = "#ignore: a b"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
rule = "#ignore: a, b"
result = parser._parse(rule)
self.assertSequenceEqual(result["ignore"], ["a", "b"])
def test_fractal_plant(self):
rule = "G -> F-[[G]+G]+F[+FG]-G"
parser = RuleParser()
result = parser._parse(rule)
self.assertSequenceEqual(result["rhs"], rule.split()[-1])
# You can still use delimiters in single character mode.
rule2 = "G -> F,-,[ [ G\t \n],+,G,]+F[+FG]- G"
result = parser._parse(rule2)
self.assertSequenceEqual(result["rhs"], rule.split()[-1])
def test_fractal_plant_delimited(self):
rule = "G -> F-[[G]+G]+F[+FG]-G"
rule2 = "G -> F,-,[,[,G,]\n+, G,\t\n ],+,F,[,+,F,G,],-,G"
parser = RuleParser(True)
result = parser._parse(rule2)
self.assertSequenceEqual(result["rhs"], rule.split()[-1].replace(",", ""))
def tokenize(s: str):
return tuple(Token(c) for c in s)
class RuleParsingMappings(unittest.TestCase):
def test_simple(self):
parser = RuleParser()
rule = "a -> ab"
lhs, mapping = parser.parse(rule)
self.assertEqual(lhs, Token("a"))
self.assertEqual(mapping, RuleMapping(tokenize("ab")))
def test_simple_delimited(self):
parser = RuleParser(True)
rule = "a -> a, b"
lhs, mapping = parser.parse(rule)
self.assertEqual(lhs, Token("a"))
self.assertEqual(mapping, RuleMapping(tokenize("ab")))
def test_probability(self):
parser = RuleParser()
rule = "a: 0.33 -> b"
lhs, mapping = parser.parse(rule)
self.assertEqual(lhs, Token("a"))
self.assertEqual(mapping, RuleMapping(tokenize("b"), probability=0.33))
def test_context_delimited(self):
parser = RuleParser(True)
rule = "left < tok>right:0.2->prod,uct"
lhs, mapping = parser.parse(rule)
self.assertEqual(lhs, Token("tok"))
self.assertEqual(
mapping,
RuleMapping(
(Token("prod"), Token("uct")),
probability=0.2,
left_context=Token("left"),
right_context=Token("right"),
),
)
def test_ignore_delimited(self):
parser = RuleParser(True)
rule = "#ignore a,b"
result = parser.parse(rule)
self.assertIsNone(result)
self.assertIn("a", parser.ignore)
self.assertIn("b", parser.ignore)
def test_fractal_plant(self):
pass
| 30.75
| 82
| 0.564399
| 784
| 7,011
| 4.961735
| 0.11352
| 0.015938
| 0.107969
| 0.136761
| 0.814653
| 0.786118
| 0.771979
| 0.703856
| 0.703856
| 0.643188
| 0
| 0.004082
| 0.266296
| 7,011
| 227
| 83
| 30.885463
| 0.752138
| 0.01626
| 0
| 0.672619
| 0
| 0.005952
| 0.107775
| 0.003336
| 0
| 0
| 0
| 0
| 0.333333
| 1
| 0.113095
| false
| 0.005952
| 0.017857
| 0.005952
| 0.14881
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
af7055d53f836959d44aab349c454c7172ee342c
| 130
|
py
|
Python
|
gopy/search/__init__.py
|
strongSoda/data-structurea-and-algorithms
|
261fa2b4c0344a1aabf83934d0ad6cee9c17787d
|
[
"MIT"
] | 1
|
2019-10-20T13:43:04.000Z
|
2019-10-20T13:43:04.000Z
|
gopy/search/__init__.py
|
strongSoda/data-structurea-and-algorithms
|
261fa2b4c0344a1aabf83934d0ad6cee9c17787d
|
[
"MIT"
] | 11
|
2019-10-04T08:54:03.000Z
|
2019-10-19T09:06:10.000Z
|
gopy/search/__init__.py
|
strongSoda/gopy
|
261fa2b4c0344a1aabf83934d0ad6cee9c17787d
|
[
"MIT"
] | null | null | null |
name="search"
from .lsearch import search
from .bsearch import search
from .ternary import search
from .jumpSearch import search
| 18.571429
| 30
| 0.807692
| 18
| 130
| 5.833333
| 0.444444
| 0.380952
| 0.457143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138462
| 130
| 7
| 30
| 18.571429
| 0.9375
| 0
| 0
| 0
| 0
| 0
| 0.045802
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
af928d7ebc03ce590a0b3ca98f00327d77f58178
| 3,400
|
py
|
Python
|
tests/test_annotation_values_route_functional.py
|
jic-dtool/dtool-lookup-server-annotation-filter-plugin
|
70ef2a5f64db65a767a238c9da01f50a674aea7d
|
[
"MIT"
] | null | null | null |
tests/test_annotation_values_route_functional.py
|
jic-dtool/dtool-lookup-server-annotation-filter-plugin
|
70ef2a5f64db65a767a238c9da01f50a674aea7d
|
[
"MIT"
] | 1
|
2021-02-12T18:28:40.000Z
|
2021-02-13T03:06:14.000Z
|
tests/test_annotation_values_route_functional.py
|
jic-dtool/dtool-lookup-server-annotation-filter-plugin
|
70ef2a5f64db65a767a238c9da01f50a674aea7d
|
[
"MIT"
] | null | null | null |
import json
from . import tmp_app # NOQA
from . import GRUMPY_TOKEN, SLEEPY_TOKEN, NOONE_TOKEN
def test_annotaion_values_route(tmp_app): # NOQA
headers = dict(Authorization="Bearer " + GRUMPY_TOKEN)
data = {"annotation_keys": ["color"]}
r = tmp_app.post(
"/annotation_filter_plugin/annotation_values",
headers=headers,
data=json.dumps(data),
content_type="application/json"
)
assert r.status_code == 200
content = json.loads(r.data.decode("utf-8"))
expected_content = {"color": {"blue": 1, "red": 1}}
assert content == expected_content
def test_annotaion_values_complex_with_multiple_keys_route(tmp_app): # NOQA
headers = dict(Authorization="Bearer " + GRUMPY_TOKEN)
data = {"annotation_keys": ["color", "pattern"]}
r = tmp_app.post(
"/annotation_filter_plugin/annotation_values",
headers=headers,
data=json.dumps(data),
content_type="application/json"
)
assert r.status_code == 200
content = json.loads(r.data.decode("utf-8"))
expected_content = {"color": {"red": 1}, "pattern": {"wavy": 1}}
assert content == expected_content
def test_annotaion_values_complex_with_complex_filter_route(tmp_app): # NOQA
headers = dict(Authorization="Bearer " + GRUMPY_TOKEN)
data = {"annotation_keys": ["color"], "annotations": {"pattern": "wavy"}}
r = tmp_app.post(
"/annotation_filter_plugin/annotation_values",
headers=headers,
data=json.dumps(data),
content_type="application/json"
)
assert r.status_code == 200
content = json.loads(r.data.decode("utf-8"))
expected_content = {"color": {"red": 1}, "pattern": {"wavy": 1}}
assert content == expected_content
data = {
"annotation_keys": ["color"],
"annotations": {"pattern": "stripey"}
}
r = tmp_app.post(
"/annotation_filter_plugin/annotation_values",
headers=headers,
data=json.dumps(data),
content_type="application/json"
)
assert r.status_code == 200
content = json.loads(r.data.decode("utf-8"))
expected_content = {}
assert content == expected_content
def test_annotaion_values_route_no_keys_specified(tmp_app): # NOQA
headers = dict(Authorization="Bearer " + GRUMPY_TOKEN)
data = {}
r = tmp_app.post(
"/annotation_filter_plugin/annotation_values",
headers=headers,
data=json.dumps(data),
content_type="application/json"
)
assert r.status_code == 200
content = json.loads(r.data.decode("utf-8"))
expected_content = {}
assert content == expected_content
def test_keys_route_with_sleepy_user(tmp_app): # NOQA
headers = dict(Authorization="Bearer " + SLEEPY_TOKEN)
data = {}
r = tmp_app.post(
"/annotation_filter_plugin/annotation_values",
headers=headers,
data=json.dumps(data),
content_type="application/json"
)
assert r.status_code == 200
content = json.loads(r.data.decode("utf-8"))
assert content == {}
def test_keys_route_with_noone_user(tmp_app): # NOQA
headers = dict(Authorization="Bearer " + NOONE_TOKEN)
data = {}
r = tmp_app.post(
"/annotation_filter_plugin/annotation_values",
headers=headers,
data=json.dumps(data),
content_type="application/json"
)
assert r.status_code == 401
| 32.075472
| 77
| 0.653235
| 405
| 3,400
| 5.224691
| 0.133333
| 0.039698
| 0.033081
| 0.036389
| 0.920132
| 0.907372
| 0.860586
| 0.860586
| 0.811909
| 0.811909
| 0
| 0.012369
| 0.215294
| 3,400
| 105
| 78
| 32.380952
| 0.780735
| 0.01
| 0
| 0.692308
| 0
| 0
| 0.199226
| 0.089637
| 0
| 0
| 0
| 0
| 0.142857
| 1
| 0.065934
| false
| 0
| 0.032967
| 0
| 0.098901
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
afa47d4d5ac2133ee9247dbe7be37679395ab61f
| 87
|
py
|
Python
|
symnet/__init__.py
|
tej-prash/quantile_regression
|
bd68d0122c95cd00f8f13710150db433cae17d67
|
[
"MIT"
] | 3
|
2020-01-14T04:47:04.000Z
|
2020-11-18T13:20:00.000Z
|
symnet/__init__.py
|
tej-prash/quantile_regression
|
bd68d0122c95cd00f8f13710150db433cae17d67
|
[
"MIT"
] | 9
|
2020-01-28T22:47:51.000Z
|
2022-02-10T00:19:50.000Z
|
symnet/__init__.py
|
tej-prash/quantile_regression
|
bd68d0122c95cd00f8f13710150db433cae17d67
|
[
"MIT"
] | 5
|
2019-06-20T18:37:25.000Z
|
2020-06-21T16:37:33.000Z
|
from symnet.model import AbstractModel
from symnet.activations import CustomActivation
| 29
| 47
| 0.885057
| 10
| 87
| 7.7
| 0.7
| 0.25974
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091954
| 87
| 2
| 48
| 43.5
| 0.974684
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
bbf5be4c3e627e14068617a181d40689653c3879
| 2,402
|
py
|
Python
|
nn/activations.py
|
denis-kondrashkin/ml
|
b60ac4b645fe1b13076e28018eaf966cbb84fcbb
|
[
"MIT"
] | null | null | null |
nn/activations.py
|
denis-kondrashkin/ml
|
b60ac4b645fe1b13076e28018eaf966cbb84fcbb
|
[
"MIT"
] | null | null | null |
nn/activations.py
|
denis-kondrashkin/ml
|
b60ac4b645fe1b13076e28018eaf966cbb84fcbb
|
[
"MIT"
] | null | null | null |
import numpy as np
from nn.module import Module
class ReLU(Module):
def __init__(self):
super().__init__()
def updateOutput(self, input):
self.output = np.maximum(input, 0)
return self.output
def updateGradInput(self, input, gradOutput):
self.gradInput = np.multiply(gradOutput, input > 0)
return self.gradInput
def __repr__(self):
return "ReLU"
class LeakyReLU(Module):
def __init__(self, slope=0.01):
super().__init__()
self.slope = slope
def updateOutput(self, input):
self.output = np.multiply(self.slope, input)
self.output = np.where(input > 0, input, self.output)
return self.output
def updateGradInput(self, input, gradOutput):
self.gradInput = np.where(input > 0, 1, self.slope)
np.multiply(gradOutput, self.gradInput, out=self.gradInput)
return self.gradInput
def __repr__(self):
return "LeakyReLU"
class ELU(Module):
def __init__(self, alpha=1.0):
super().__init__()
self.alpha = alpha
def updateOutput(self, input):
self.output = np.exp(input)
np.subtract(self.output, 1, out=self.output)
np.multiply(self.alpha, self.output, out=self.output)
self.output = np.where(input > 0, input, self.output)
return self.output
def updateGradInput(self, input, gradOutput):
self.gradInput = np.exp(input)
np.multiply(self.alpha, self.gradInput, out=self.gradInput)
self.gradInput = np.where(input > 0, 1, self.gradInput)
np.multiply(gradOutput, self.gradInput, out=self.gradInput)
return self.gradInput
def __repr__(self):
return "ELU"
class SoftPlus(Module):
def __init__(self):
super().__init__()
def updateOutput(self, input):
self.output = np.exp(input)
np.add(1, self.output, out=self.output)
np.log(self.output, out=self.output)
return self.output
def updateGradInput(self, input, gradOutput):
self.gradInput = np.exp(input)
np.add(1, self.gradInput, out=self.gradInput)
np.divide(1, self.gradInput, out=self.gradInput)
np.subtract(1, self.gradInput, out=self.gradInput)
np.multiply(gradOutput, self.gradInput, out=self.gradInput)
return self.gradInput
def __repr__(self):
return "SoftPlus"
| 28.595238
| 67
| 0.637386
| 298
| 2,402
| 4.97651
| 0.127517
| 0.210384
| 0.091032
| 0.094403
| 0.813216
| 0.705327
| 0.705327
| 0.59474
| 0.565745
| 0.565745
| 0
| 0.009917
| 0.24438
| 2,402
| 83
| 68
| 28.939759
| 0.807163
| 0
| 0
| 0.564516
| 0
| 0
| 0.009992
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.258065
| false
| 0
| 0.032258
| 0.064516
| 0.548387
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 1
| 0
|
0
| 6
|
a584c67e9767fda4bc07102aa1d1a94527bdbe33
| 343
|
py
|
Python
|
quicktracer/__init__.py
|
chapuzzo/quicktracer
|
284d5b28c5f875dc041107ccf583dee50c8c78a8
|
[
"MIT"
] | 3
|
2018-01-11T03:36:01.000Z
|
2019-09-29T14:15:58.000Z
|
quicktracer/__init__.py
|
chapuzzo/quicktracer
|
284d5b28c5f875dc041107ccf583dee50c8c78a8
|
[
"MIT"
] | null | null | null |
quicktracer/__init__.py
|
chapuzzo/quicktracer
|
284d5b28c5f875dc041107ccf583dee50c8c78a8
|
[
"MIT"
] | 3
|
2018-01-10T22:35:18.000Z
|
2021-04-14T17:33:51.000Z
|
# from quicktracer.constants import KEY, VALUE, TIME
# from quicktracer.quicktracer import trace
from .quicktracer_lib import trace, reset
# from .constants import KEY, VALUE, TIME
from .quicktracer_lib import KEY, VALUE, TIME, CUSTOM_DISPLAY
from .displays import Display
__all__ = [trace, reset, KEY, VALUE, TIME, CUSTOM_DISPLAY, Display]
| 34.3
| 67
| 0.790087
| 46
| 343
| 5.717391
| 0.304348
| 0.228137
| 0.18251
| 0.205323
| 0.509506
| 0.319392
| 0.319392
| 0
| 0
| 0
| 0
| 0
| 0.134111
| 343
| 9
| 68
| 38.111111
| 0.885522
| 0.38484
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.75
| 0
| 0.75
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
3c0fe92a1344ba5ffe7e6f82a051056d8c79aa40
| 107
|
py
|
Python
|
edx_data_research/web_app/parse/__init__.py
|
gopa1959/test
|
3e224d0d86015b1e3e2da426e914aeb86c80d3c8
|
[
"MIT"
] | null | null | null |
edx_data_research/web_app/parse/__init__.py
|
gopa1959/test
|
3e224d0d86015b1e3e2da426e914aeb86c80d3c8
|
[
"MIT"
] | null | null | null |
edx_data_research/web_app/parse/__init__.py
|
gopa1959/test
|
3e224d0d86015b1e3e2da426e914aeb86c80d3c8
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
parse = Blueprint('parse', __name__, url_prefix='/parse')
from . import views
| 21.4
| 57
| 0.757009
| 14
| 107
| 5.428571
| 0.642857
| 0.368421
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.130841
| 107
| 5
| 58
| 21.4
| 0.817204
| 0
| 0
| 0
| 0
| 0
| 0.101852
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0.666667
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 1
|
0
| 6
|
3c2ca7f7f41994268e91087ea3f2a499b62b9891
| 49
|
py
|
Python
|
adaequare_gsp/monkey_patches/__init__.py
|
mohsinalimat/adaequare_gsp
|
e3e8bb282f25dc791cb07cc41e04bc60a7066e07
|
[
"MIT"
] | null | null | null |
adaequare_gsp/monkey_patches/__init__.py
|
mohsinalimat/adaequare_gsp
|
e3e8bb282f25dc791cb07cc41e04bc60a7066e07
|
[
"MIT"
] | null | null | null |
adaequare_gsp/monkey_patches/__init__.py
|
mohsinalimat/adaequare_gsp
|
e3e8bb282f25dc791cb07cc41e04bc60a7066e07
|
[
"MIT"
] | null | null | null |
import adaequare_gsp.monkey_patches.create_party
| 24.5
| 48
| 0.918367
| 7
| 49
| 6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.040816
| 49
| 1
| 49
| 49
| 0.893617
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
3c5cdd0fa1a6fca969c85c2b8c316d42b9864b0b
| 34
|
py
|
Python
|
src/fchecker/dict/__init__.py
|
IncognitoCoding/fchecker
|
bbc70685174c70b6c396e1c93864028bffd3e22e
|
[
"MIT"
] | null | null | null |
src/fchecker/dict/__init__.py
|
IncognitoCoding/fchecker
|
bbc70685174c70b6c396e1c93864028bffd3e22e
|
[
"MIT"
] | null | null | null |
src/fchecker/dict/__init__.py
|
IncognitoCoding/fchecker
|
bbc70685174c70b6c396e1c93864028bffd3e22e
|
[
"MIT"
] | null | null | null |
from .dict_checks import KeyCheck
| 17
| 33
| 0.852941
| 5
| 34
| 5.6
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.117647
| 34
| 1
| 34
| 34
| 0.933333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
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| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
3c60c296960f40d6258bbe187a43da761527bb2d
| 78
|
py
|
Python
|
BetterString/__init__.py
|
BloodVexed/BetterString
|
69251b4ec1e419de1f3fe1b190246fa0052067b0
|
[
"MIT"
] | 1
|
2021-04-17T14:34:55.000Z
|
2021-04-17T14:34:55.000Z
|
BetterString/__init__.py
|
BloodVexed/BetterString
|
69251b4ec1e419de1f3fe1b190246fa0052067b0
|
[
"MIT"
] | null | null | null |
BetterString/__init__.py
|
BloodVexed/BetterString
|
69251b4ec1e419de1f3fe1b190246fa0052067b0
|
[
"MIT"
] | null | null | null |
from .BetterString import *
from .Color import *
from .Exceptions import *
| 19.5
| 28
| 0.730769
| 9
| 78
| 6.333333
| 0.555556
| 0.350877
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.192308
| 78
| 3
| 29
| 26
| 0.904762
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
b1c091ee489a64507aa60cea477b3e2b4d4d93b5
| 108
|
py
|
Python
|
src/releasely/tasks/__init__.py
|
gordonfierce/releasely
|
2dfa84f3eef7f17675a45d87318e1ef15088295b
|
[
"MIT"
] | 1
|
2020-09-21T17:04:27.000Z
|
2020-09-21T17:04:27.000Z
|
src/releasely/tasks/__init__.py
|
gordonfierce/releasely
|
2dfa84f3eef7f17675a45d87318e1ef15088295b
|
[
"MIT"
] | 2
|
2020-09-16T00:24:55.000Z
|
2021-12-16T16:57:24.000Z
|
src/releasely/tasks/__init__.py
|
gordonfierce/releasely
|
2dfa84f3eef7f17675a45d87318e1ef15088295b
|
[
"MIT"
] | 1
|
2021-12-16T16:49:20.000Z
|
2021-12-16T16:49:20.000Z
|
from . import check, prepare_release, release_notes
task_modules = [check, prepare_release, release_notes]
| 27
| 54
| 0.814815
| 14
| 108
| 5.928571
| 0.571429
| 0.289157
| 0.457831
| 0.626506
| 0.746988
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.111111
| 108
| 3
| 55
| 36
| 0.864583
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
b1db00b7ac5cd8eb115cebadbfebaf7e16931ddb
| 105
|
py
|
Python
|
veros/diagnostics/__init__.py
|
AkasDutta/veros
|
9f530596a0148a398829050017de3e01a71261a0
|
[
"MIT"
] | 115
|
2019-11-23T02:31:30.000Z
|
2022-03-29T12:58:30.000Z
|
veros/diagnostics/__init__.py
|
AkasDutta/veros
|
9f530596a0148a398829050017de3e01a71261a0
|
[
"MIT"
] | 207
|
2019-11-21T13:21:22.000Z
|
2022-03-31T23:36:09.000Z
|
veros/diagnostics/__init__.py
|
AkasDutta/veros
|
9f530596a0148a398829050017de3e01a71261a0
|
[
"MIT"
] | 21
|
2020-01-28T13:13:39.000Z
|
2022-02-02T13:46:33.000Z
|
from veros.diagnostics.api import create_default_diagnostics, initialize, diagnose, output # noqa: F401
| 52.5
| 104
| 0.828571
| 13
| 105
| 6.538462
| 0.923077
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.031915
| 0.104762
| 105
| 1
| 105
| 105
| 0.87234
| 0.095238
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| null | 0
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| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
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| 0
| 0
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
b1fdc9483fe1252f4bd266db7f914a9d8427d3b7
| 1,981
|
py
|
Python
|
web/channels/management/channel.py
|
vtalks/vtalks.net
|
80fb19ff9684e0854c6abe5f0eef73e80ec326a6
|
[
"Apache-2.0"
] | 1
|
2017-11-28T03:17:23.000Z
|
2017-11-28T03:17:23.000Z
|
web/channels/management/channel.py
|
vtalks/vtalks.net
|
80fb19ff9684e0854c6abe5f0eef73e80ec326a6
|
[
"Apache-2.0"
] | 56
|
2018-01-14T18:03:03.000Z
|
2018-06-25T17:59:02.000Z
|
web/channels/management/channel.py
|
vtalks/vtalks.net
|
80fb19ff9684e0854c6abe5f0eef73e80ec326a6
|
[
"Apache-2.0"
] | null | null | null |
from datetime import datetime
from django.utils import timezone
from channels.models import Channel
def create_channel(channel_json_data):
""" Create a new Channel into the database
"""
channel_code = channel_json_data["id"]
if "snippet" in channel_json_data:
snippet = channel_json_data["snippet"]
if "title" in snippet:
channel_title = channel_json_data["snippet"]["title"]
if "description" in snippet:
channel_description = channel_json_data["snippet"]["description"]
if "publishedAt" in snippet:
published_at = channel_json_data["snippet"]["publishedAt"]
datetime_published_at = datetime.strptime(published_at, "%Y-%m-%dT%H:%M:%S.000Z")
datetime_published_at = datetime_published_at.replace(tzinfo=timezone.utc)
channel_created = datetime_published_at
channel = Channel.objects.create(code=channel_code,
title=channel_title,
description=channel_description,
created=channel_created)
return channel
def update_channel(channel, channel_json_data):
""" Updates an existing Channel into the database
"""
channel.code = channel_json_data["id"]
if "snippet" in channel_json_data:
snippet = channel_json_data["snippet"]
if "title" in snippet:
channel.title = channel_json_data["snippet"]["title"]
if "description" in snippet:
channel.description = channel_json_data["snippet"]["description"]
if "publishedAt" in snippet:
published_at = channel_json_data["snippet"]["publishedAt"]
datetime_published_at = datetime.strptime(published_at, "%Y-%m-%dT%H:%M:%S.000Z")
datetime_published_at = datetime_published_at.replace(tzinfo=timezone.utc)
channel.created = datetime_published_at
channel.save()
return channel
| 38.843137
| 93
| 0.650177
| 221
| 1,981
| 5.565611
| 0.208145
| 0.125203
| 0.170732
| 0.178862
| 0.744715
| 0.744715
| 0.744715
| 0.744715
| 0.744715
| 0.744715
| 0
| 0.004065
| 0.254922
| 1,981
| 50
| 94
| 39.62
| 0.829268
| 0.044927
| 0
| 0.5
| 0
| 0
| 0.120598
| 0.023479
| 0
| 0
| 0
| 0
| 0
| 1
| 0.055556
| false
| 0
| 0.083333
| 0
| 0.194444
| 0
| 0
| 0
| 0
| null | 0
| 0
| 1
| 0
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
5916296b0f17c83705ae5af2f31a44996d61e577
| 16,049
|
py
|
Python
|
tests/time_integration/test_newton.py
|
sandialabs/Spitfire
|
65670e3ba5d1ccb4ac72524b77957706345c5bf6
|
[
"Apache-2.0"
] | 11
|
2020-03-20T02:10:17.000Z
|
2021-12-14T10:08:09.000Z
|
tests/time_integration/test_newton.py
|
sandialabs/Spitfire
|
65670e3ba5d1ccb4ac72524b77957706345c5bf6
|
[
"Apache-2.0"
] | 18
|
2020-03-18T18:58:56.000Z
|
2021-12-21T02:35:35.000Z
|
tests/time_integration/test_newton.py
|
sandialabs/Spitfire
|
65670e3ba5d1ccb4ac72524b77957706345c5bf6
|
[
"Apache-2.0"
] | 2
|
2021-05-31T17:24:56.000Z
|
2021-06-20T05:27:41.000Z
|
import unittest
from spitfire import SimpleNewtonSolver
from numpy import abs, imag, any, Inf, zeros, array, NaN
from numpy import copy as numpy_copy
def direct_residual(fun):
def doubled(x, *args, **kwargs):
output = fun(x, *args, **kwargs)
return output, numpy_copy(output)
return doubled
def direct_solve(fun):
def append_iteration_count_of_one_and_converged(x, *args, **kwargs):
output = fun(x, *args, **kwargs)
return output, 1, True
return append_iteration_count_of_one_and_converged
def make_sure_is_real(solution, *args, **kwargs):
return True if any(imag(solution)) else False
@direct_residual
def linear_problem_residual(x, *args, **kwargs):
return 2. * x - 1.
def linear_problem_jacobian_inverse(x, *args, **kwargs):
return 0.5
@direct_solve
def linear_problem_solve_free(resid, *args, **kwargs):
return 0.5 * resid
class LinearProblem(object):
def __init__(self):
self.lhs_inverse = None
def residual(self, x, *args, **kwargs):
return linear_problem_residual(x, args, kwargs)
def setup(self, x, *args, **kwargs):
self.lhs_inverse = linear_problem_jacobian_inverse(x, args, kwargs)
@direct_solve
def solve(self, resid, *args, **kwargs):
return self.lhs_inverse * resid
class LinearScalarTest(unittest.TestCase):
def test_frozen_jacobian(self):
guess = 0.3
solution = 0.5
tolerance = 1.e-12
newton = SimpleNewtonSolver(tolerance=tolerance,
max_nonlinear_iter=4,
must_converge=True,
norm_weighting=1.,
norm_order=2,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
newton.slowness_detection_iter = 2 # to tests detection of slow convergence
output = newton(residual_method=linear_problem_residual,
solve_method=linear_problem_solve_free,
initial_guess=guess,
initial_rhs=linear_problem_residual(guess),
setup_method=None)
self.assertTrue(abs(output.solution - solution) <= tolerance)
self.assertTrue((linear_problem_residual(output.solution) == output.rhs_at_converged).all())
self.assertTrue(output.iter == 1)
self.assertTrue(output.liter == 1)
self.assertTrue(output.projector_setups == 0)
self.assertTrue(not output.slow_convergence)
self.assertTrue(output.converged)
def test_active_jacobian(self):
problem = LinearProblem()
guess = 0.3
solution = 0.5
tolerance = 1.e-12
newton = SimpleNewtonSolver(evaluate_jacobian_every_iter=True,
tolerance=tolerance,
max_nonlinear_iter=4,
must_converge=True,
norm_weighting=1.,
norm_order=Inf,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
newton.slowness_detection_iter = 0 # to tests detection of slow convergence
output = newton(residual_method=problem.residual,
setup_method=problem.setup,
solve_method=problem.solve,
initial_guess=guess,
initial_rhs=problem.residual(guess))
self.assertTrue(abs(output.solution - solution) <= tolerance)
self.assertTrue((problem.residual(output.solution) == output.rhs_at_converged).all())
self.assertTrue(output.iter == 1)
self.assertTrue(output.liter == output.iter)
self.assertTrue(output.projector_setups == output.iter)
self.assertTrue(output.converged)
self.assertTrue(output.slow_convergence)
@direct_residual
def quadratic_problem_residual(x, *args, **kwargs):
return x * x - 4.
def quadratic_problem_jacobian_inverse(x, *args, **kwargs):
return 0.5 / x
def quadratic_problem_solve_free(resid, x, *args, **kwargs):
return quadratic_problem_jacobian_inverse(x) * resid
class QuadraticProblem(object):
def __init__(self):
self.lhs_inverse = None
def residual(self, x, *args, **kwargs):
return quadratic_problem_residual(x, args, kwargs)
def setup(self, x, *args, **kwargs):
self.lhs_inverse = quadratic_problem_jacobian_inverse(x, args, kwargs)
@direct_solve
def solve(self, resid, *args, **kwargs):
return self.lhs_inverse * resid
class QuadraticScalarTest(unittest.TestCase):
def test_frozen_jacobian(self):
guess = 1.6
@direct_solve
def solve_with_frozen_jacobian(resid, *args, **kwargs):
return quadratic_problem_solve_free(resid, guess)
solution = 2.
tolerance = 1.e-12
newton = SimpleNewtonSolver(tolerance=tolerance,
max_nonlinear_iter=25,
must_converge=True,
norm_weighting=1.,
norm_order=Inf,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
output = newton(residual_method=quadratic_problem_residual,
solve_method=solve_with_frozen_jacobian,
initial_guess=guess,
initial_rhs=quadratic_problem_residual(guess),
setup_method=None)
self.assertTrue(abs(output.solution - solution) <= tolerance)
self.assertTrue((quadratic_problem_residual(output.solution) == output.rhs_at_converged).all())
self.assertTrue(output.iter == 20)
self.assertTrue(output.liter == output.iter)
self.assertTrue(output.converged)
def test_active_jacobian(self):
problem = QuadraticProblem()
guess = 1.6
solution = 2.
tolerance = 1.e-12
newton = SimpleNewtonSolver(evaluate_jacobian_every_iter=True,
tolerance=tolerance,
max_nonlinear_iter=10,
must_converge=True,
norm_weighting=1.,
norm_order=Inf,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
output = newton(residual_method=problem.residual,
solve_method=problem.solve,
setup_method=problem.setup,
initial_guess=guess,
initial_rhs=problem.residual(guess))
self.assertTrue(abs(output.solution - solution) <= tolerance)
self.assertTrue((problem.residual(output.solution) == output.rhs_at_converged).all())
self.assertTrue(output.iter == 4)
self.assertTrue(output.liter == output.iter)
self.assertTrue(output.projector_setups == output.iter)
self.assertTrue(output.converged)
@direct_residual
def cubic_problem_residual(x, *args, **kwargs):
return x * x * x - 27.
def cubic_problem_jacobian_inverse(x, *args, **kwargs):
return 1. / (3. * x * x)
def cubic_problem_solve_free(resid, x, *args, **kwargs):
return cubic_problem_jacobian_inverse(x) * resid
class CubicProblem(object):
def __init__(self):
self.lhs_inverse = None
def residual(self, x, *args, **kwargs):
return cubic_problem_residual(x, args, kwargs)
def setup(self, x, *args, **kwargs):
self.lhs_inverse = cubic_problem_jacobian_inverse(x, args, kwargs)
@direct_solve
def solve(self, resid, *args, **kwargs):
return self.lhs_inverse * resid
class CubicScalarTest(unittest.TestCase):
def test_frozen_jacobian(self):
guess = 2.6
@direct_solve
def solve_with_frozen_jacobian(resid, *args, **kwargs):
return cubic_problem_solve_free(resid, guess)
solution = 3.
tolerance = 1.e-12
newton = SimpleNewtonSolver(tolerance=tolerance,
max_nonlinear_iter=40,
must_converge=True,
norm_weighting=1.,
norm_order=Inf,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
output = newton(residual_method=cubic_problem_residual,
solve_method=solve_with_frozen_jacobian,
initial_guess=guess,
initial_rhs=cubic_problem_residual(guess),
setup_method=None)
self.assertTrue(abs(output.solution - solution) <= tolerance)
self.assertTrue((cubic_problem_residual(output.solution) == output.rhs_at_converged).all())
self.assertTrue(output.iter == 27)
self.assertTrue(output.liter == output.iter)
self.assertTrue(output.converged)
def test_active_jacobian(self):
problem = CubicProblem()
guess = 2.6
solution = 3.
tolerance = 1.e-12
newton = SimpleNewtonSolver(evaluate_jacobian_every_iter=True,
tolerance=tolerance,
max_nonlinear_iter=10,
must_converge=True,
norm_weighting=1.,
norm_order=Inf,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
output = newton(residual_method=problem.residual,
solve_method=problem.solve,
setup_method=problem.setup,
initial_guess=guess,
initial_rhs=problem.residual(guess))
self.assertTrue(abs(output.solution - solution) <= tolerance)
self.assertTrue((problem.residual(output.solution) == output.rhs_at_converged).all())
self.assertTrue(output.iter == 5)
self.assertTrue(output.liter == output.iter)
self.assertTrue(output.projector_setups == output.iter)
self.assertTrue(output.converged)
def test_failure_catching(self):
guess = 2.6
@direct_solve
def solve_with_frozen_jacobian(resid, *args, **kwargs):
return cubic_problem_solve_free(resid, guess)
solution = 3.
tolerance = 1.e-12
newton = SimpleNewtonSolver(tolerance=tolerance,
max_nonlinear_iter=40,
must_converge=True,
norm_weighting=1.,
norm_order=Inf,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
# tests that if given 0 iterations to converge, it cannot
newton.max_nonlinear_iter = 0
try:
newton(residual_method=cubic_problem_residual,
solve_method=solve_with_frozen_jacobian,
initial_guess=guess,
initial_rhs=cubic_problem_residual(guess),
setup_method=None)
self.assertTrue(False, 'Newton incorrectly did not recognize 0 iteration limit')
except ValueError:
self.assertTrue(True)
# tests that if we set must_converge=False, that it doesn't raise an error for not converging in 0 iterations,
# and that it marks the failure to converge correctly in the output
newton.must_converge = False
try:
output = newton(residual_method=cubic_problem_residual,
solve_method=solve_with_frozen_jacobian,
initial_guess=guess,
initial_rhs=cubic_problem_residual(guess),
setup_method=None)
self.assertTrue(not output.converged)
except ValueError:
self.assertTrue(False, 'Newton incorrectly said it failed to converge but we said must_converge=False')
newton.max_nonlinear_iter = 40 # reset
newton.must_converge = True # reset
# tests that if we give it a NaN with raise_naninf=True (set above), it does in fact raise an error
guess = NaN
try:
newton(residual_method=cubic_problem_residual,
solve_method=solve_with_frozen_jacobian,
initial_guess=guess,
initial_rhs=cubic_problem_residual(guess),
setup_method=None)
self.assertTrue(False, 'Newton ate a NaN and did not catch it despite raise_naninf=True')
except ValueError:
self.assertTrue(True)
# tests that if we give it an Inf with raise_naninf=True (set above), it does in fact raise an error
guess = Inf
try:
newton(residual_method=cubic_problem_residual,
solve_method=solve_with_frozen_jacobian,
initial_guess=guess,
initial_rhs=cubic_problem_residual(guess),
setup_method=None)
self.assertTrue(False, 'Newton ate an Inf and did not catch it despite raise_naninf=True')
except ValueError:
self.assertTrue(True)
class VectorProblem(object):
def __init__(self):
self.lhs_inverse = zeros(3)
self.norm_weighting = array([1., 2., 3.])
@direct_residual
def residual(self, x, *args, **kwargs):
return array([linear_problem_residual(x[0], args, kwargs)[0],
quadratic_problem_residual(x[1], args, kwargs)[0],
cubic_problem_residual(x[2], args, kwargs)[0]])
def setup(self, x, *args, **kwargs):
self.lhs_inverse = array([linear_problem_jacobian_inverse(x[0], args, kwargs),
quadratic_problem_jacobian_inverse(x[1], args, kwargs),
cubic_problem_jacobian_inverse(x[2], args, kwargs)])
@direct_solve
def solve(self, resid, *args, **kwargs):
return self.lhs_inverse * resid
class VectorTest(unittest.TestCase):
def test_active_jacobian(self):
problem = VectorProblem()
guess = array([0.6, 1.6, 2.6])
solution = array([0.5, 2., 3.])
tolerance = 1.e-12
newton = SimpleNewtonSolver(evaluate_jacobian_every_iter=True,
tolerance=tolerance,
max_nonlinear_iter=10,
must_converge=True,
norm_weighting=problem.norm_weighting,
norm_order=2,
raise_naninf=True,
custom_solution_check=make_sure_is_real)
output = newton(residual_method=problem.residual,
solve_method=problem.solve,
setup_method=problem.setup,
initial_guess=guess,
initial_rhs=problem.residual(guess))
self.assertTrue((abs(output.solution - solution) <= tolerance).all())
self.assertTrue((problem.residual(output.solution) == output.rhs_at_converged).all())
self.assertTrue(output.iter == 5)
self.assertTrue(output.liter == output.iter)
self.assertTrue(output.projector_setups == output.iter)
self.assertTrue(output.converged)
# todo: add tests that cover failure-catching
if __name__ == '__main__':
unittest.main()
| 38.12114
| 118
| 0.579164
| 1,672
| 16,049
| 5.313995
| 0.095694
| 0.078784
| 0.060777
| 0.026787
| 0.82386
| 0.796961
| 0.768824
| 0.744513
| 0.710636
| 0.69049
| 0
| 0.011874
| 0.338837
| 16,049
| 420
| 119
| 38.211905
| 0.825464
| 0.034955
| 0
| 0.699367
| 0
| 0
| 0.017187
| 0
| 0
| 0
| 0
| 0.002381
| 0.158228
| 1
| 0.129747
| false
| 0
| 0.012658
| 0.066456
| 0.246835
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
5920e81e8fc432720afd19512d685a4751ff8168
| 48
|
py
|
Python
|
pycircuit/sim/__init__.py
|
michaelnt/pycircuit
|
ef3110c1c3789c1e5f30c35e3f5dd15ed4bd349e
|
[
"BSD-3-Clause"
] | 25
|
2015-05-13T22:49:26.000Z
|
2020-03-10T04:13:20.000Z
|
pycircuit/sim/__init__.py
|
michaelnt/pycircuit
|
ef3110c1c3789c1e5f30c35e3f5dd15ed4bd349e
|
[
"BSD-3-Clause"
] | 1
|
2016-11-09T13:09:31.000Z
|
2016-11-09T13:09:31.000Z
|
pycircuit/sim/__init__.py
|
michaelnt/pycircuit
|
ef3110c1c3789c1e5f30c35e3f5dd15ed4bd349e
|
[
"BSD-3-Clause"
] | 9
|
2016-03-05T11:46:27.000Z
|
2022-01-19T18:30:55.000Z
|
from simulation import *
from analysis import *
| 16
| 24
| 0.791667
| 6
| 48
| 6.333333
| 0.666667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 48
| 2
| 25
| 24
| 0.95
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
594ce334dfd6a434cfcef6ee41a5e59cd8cd028e
| 123
|
py
|
Python
|
scraper/code/crawler/spiders/zalora/urls.py
|
teknokeras/scrapy-splash
|
011cd9d141c0fde4476ace175fddd753fa944fc0
|
[
"MIT"
] | null | null | null |
scraper/code/crawler/spiders/zalora/urls.py
|
teknokeras/scrapy-splash
|
011cd9d141c0fde4476ace175fddd753fa944fc0
|
[
"MIT"
] | 5
|
2018-11-18T02:44:33.000Z
|
2022-03-02T14:54:48.000Z
|
scraper/code/crawler/spiders/zalora/urls.py
|
teknokeras/scrapy-splash
|
011cd9d141c0fde4476ace175fddd753fa944fc0
|
[
"MIT"
] | 3
|
2017-09-24T11:51:01.000Z
|
2019-12-20T03:50:16.000Z
|
ZALORA_URLS = ['https://www.zalora.co.id/women/pakaian/atasan/?from=header']
def get_start_urls():
return ZALORA_URLS
| 24.6
| 76
| 0.739837
| 19
| 123
| 4.578947
| 0.789474
| 0.229885
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.097561
| 123
| 4
| 77
| 30.75
| 0.783784
| 0
| 0
| 0
| 0
| 0
| 0.471545
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0
| 0.333333
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 6
|
3ce80d64bc77c0d8596b73e3390f5c1b8892ee0e
| 69
|
py
|
Python
|
setup/nuke/nuke_path/menu.py
|
bumpybox/core
|
5a24640484f19e48dc12682dae979adc6d41dc0b
|
[
"MIT"
] | 168
|
2017-06-23T15:50:43.000Z
|
2022-02-27T10:48:45.000Z
|
setup/nuke/nuke_path/menu.py
|
bumpybox/core
|
5a24640484f19e48dc12682dae979adc6d41dc0b
|
[
"MIT"
] | 366
|
2017-06-22T08:38:45.000Z
|
2021-06-19T07:29:06.000Z
|
setup/nuke/nuke_path/menu.py
|
bumpybox/core
|
5a24640484f19e48dc12682dae979adc6d41dc0b
|
[
"MIT"
] | 42
|
2017-06-23T15:27:26.000Z
|
2021-09-29T17:28:18.000Z
|
import avalon.api
import avalon.nuke
avalon.api.install(avalon.nuke)
| 17.25
| 31
| 0.826087
| 11
| 69
| 5.181818
| 0.454545
| 0.421053
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072464
| 69
| 3
| 32
| 23
| 0.890625
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
3cfa1c28f463e7ab8836ed822bf9949b28637756
| 24
|
py
|
Python
|
pose/models/backbones/__init__.py
|
sithu31296/pose_estimation
|
b00da09cfaf0ee25cdc900a46ac0a2e2a878f16a
|
[
"MIT"
] | 29
|
2021-09-14T08:05:28.000Z
|
2022-03-09T12:53:56.000Z
|
pose/models/backbones/__init__.py
|
sithu31296/pose_estimation
|
b00da09cfaf0ee25cdc900a46ac0a2e2a878f16a
|
[
"MIT"
] | 5
|
2021-09-27T18:38:36.000Z
|
2022-01-31T16:28:39.000Z
|
pose/models/backbones/__init__.py
|
sithu31296/pose_estimation
|
b00da09cfaf0ee25cdc900a46ac0a2e2a878f16a
|
[
"MIT"
] | 4
|
2021-09-17T19:13:44.000Z
|
2022-03-26T02:38:12.000Z
|
from .hrnet import HRNet
| 24
| 24
| 0.833333
| 4
| 24
| 5
| 0.75
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.125
| 24
| 1
| 24
| 24
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
a713fed90669d81ad3b0fe0991125c5879c75e38
| 136
|
py
|
Python
|
src/openvibspec/__init__.py
|
arnrau/VibSpec
|
89c1a3bdaa6aa7a6f98704442a1ffd25f86d2cc2
|
[
"BSD-2-Clause"
] | 1
|
2022-03-28T13:24:27.000Z
|
2022-03-28T13:24:27.000Z
|
src/openvibspec/__init__.py
|
arnrau/VibSpec
|
89c1a3bdaa6aa7a6f98704442a1ffd25f86d2cc2
|
[
"BSD-2-Clause"
] | null | null | null |
src/openvibspec/__init__.py
|
arnrau/VibSpec
|
89c1a3bdaa6aa7a6f98704442a1ffd25f86d2cc2
|
[
"BSD-2-Clause"
] | 1
|
2022-03-28T13:24:29.000Z
|
2022-03-28T13:24:29.000Z
|
from __future__ import absolute_import
from . import io_ftir
from . import ml_ftir
from . import preprocessing
__version__ = '0.1'
| 13.6
| 38
| 0.772059
| 19
| 136
| 4.947368
| 0.578947
| 0.319149
| 0.297872
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017857
| 0.176471
| 136
| 9
| 39
| 15.111111
| 0.821429
| 0
| 0
| 0
| 0
| 0
| 0.022059
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.8
| 0
| 0.8
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
59576aed2d57612669bb4f42ebed430257908746
| 86
|
py
|
Python
|
common/serializers/__init__.py
|
Jenks18/mfl_api
|
ecbb8954053be06bbcac7e1132811d73534c78d9
|
[
"MIT"
] | 19
|
2015-04-16T09:37:08.000Z
|
2022-02-10T11:50:30.000Z
|
common/serializers/__init__.py
|
Jenks18/mfl_api
|
ecbb8954053be06bbcac7e1132811d73534c78d9
|
[
"MIT"
] | 125
|
2015-03-26T14:05:49.000Z
|
2020-05-14T08:16:50.000Z
|
common/serializers/__init__.py
|
Jenks18/mfl_api
|
ecbb8954053be06bbcac7e1132811d73534c78d9
|
[
"MIT"
] | 39
|
2015-04-15T09:17:33.000Z
|
2022-03-28T18:08:16.000Z
|
from .serializer_base import * # NOQA
from .serializer_declarations import * # NOQA
| 28.666667
| 46
| 0.767442
| 10
| 86
| 6.4
| 0.6
| 0.4375
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.162791
| 86
| 2
| 47
| 43
| 0.888889
| 0.104651
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
596013a1e2ded91d1f7024405bedebc7a51f2a30
| 72
|
py
|
Python
|
BioModelsDAG/__init__.py
|
danielqiang/BioModels
|
4697ad44d98953e2646f692f3010191febc64747
|
[
"MIT"
] | 1
|
2021-03-07T13:47:07.000Z
|
2021-03-07T13:47:07.000Z
|
BioModelsDAG/__init__.py
|
danielqiang/BioModels
|
4697ad44d98953e2646f692f3010191febc64747
|
[
"MIT"
] | 2
|
2021-03-31T19:53:45.000Z
|
2021-12-13T20:46:15.000Z
|
BioModelsDAG/__init__.py
|
danielqiang/BioModels
|
4697ad44d98953e2646f692f3010191febc64747
|
[
"MIT"
] | null | null | null |
from .utils import *
from .pipeline import *
from .classifiers import *
| 18
| 26
| 0.75
| 9
| 72
| 6
| 0.555556
| 0.37037
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.166667
| 72
| 3
| 27
| 24
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
596085fe0b62ed5885ce8806004d6dfc76a1895e
| 4,977
|
py
|
Python
|
tests/test_cases/test_multi_dimension_array/test_cocotb_array.py
|
lavanyajagan/cocotb
|
2f98612016e68510e264a2b4963303d3588d8404
|
[
"BSD-3-Clause"
] | 350
|
2015-01-09T12:50:13.000Z
|
2019-07-12T09:08:17.000Z
|
tests/test_cases/test_multi_dimension_array/test_cocotb_array.py
|
lavanyajagan/cocotb
|
2f98612016e68510e264a2b4963303d3588d8404
|
[
"BSD-3-Clause"
] | 710
|
2015-01-05T16:42:29.000Z
|
2019-07-16T13:40:00.000Z
|
tests/test_cases/test_multi_dimension_array/test_cocotb_array.py
|
lavanyajagan/cocotb
|
2f98612016e68510e264a2b4963303d3588d8404
|
[
"BSD-3-Clause"
] | 182
|
2015-01-08T09:35:20.000Z
|
2019-07-12T18:41:37.000Z
|
import cocotb
from cocotb.triggers import Timer
@cocotb.test()
async def test_in_vect_packed(dut):
test_value = 0x5
dut.in_vect_packed.value = test_value
await Timer(1, "ns")
assert dut.out_vect_packed.value == test_value
@cocotb.test()
async def test_in_vect_unpacked(dut):
test_value = [0x1, 0x0, 0x1]
dut.in_vect_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_vect_unpacked.value == test_value
@cocotb.test()
async def test_in_arr(dut):
test_value = 0x5
dut.in_arr.value = test_value
await Timer(1, "ns")
assert dut.out_arr.value == test_value
@cocotb.test()
async def test_in_2d_vect_packed_packed(dut):
test_value = (0x5 << 6) | (0x5 << 3) | 0x5
dut.in_2d_vect_packed_packed.value = test_value
await Timer(1, "ns")
assert dut.out_2d_vect_packed_packed.value == test_value
@cocotb.test()
async def test_in_2d_vect_packed_unpacked(dut):
test_value = [0x5, 0x5, 0x5]
dut.in_2d_vect_packed_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_2d_vect_packed_unpacked.value == test_value
@cocotb.test()
async def test_in_2d_vect_unpacked_unpacked(dut):
test_value = 3 * [[0x1, 0x0, 0x1]]
dut.in_2d_vect_unpacked_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_2d_vect_unpacked_unpacked.value == test_value
@cocotb.test()
async def test_in_arr_packed(dut):
test_value = 365
dut.in_arr_packed.value = test_value
await Timer(1, "ns")
assert dut.out_arr_packed.value == test_value
@cocotb.test()
async def test_in_arr_unpacked(dut):
test_value = [0x5, 0x5, 0x5]
dut.in_arr_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_arr_unpacked.value == test_value
@cocotb.test()
async def test_in_2d_arr(dut):
test_value = 365
dut.in_2d_arr.value = test_value
await Timer(1, "ns")
assert dut.out_2d_arr.value == test_value
@cocotb.test()
async def test_in_vect_packed_packed_packed(dut):
test_value = 95869805
dut.in_vect_packed_packed_packed.value = test_value
await Timer(1, "ns")
assert dut.out_vect_packed_packed_packed.value == test_value
# Questa is unable to access elements of a logic array if the last dimension is unpacked (gh-2605)
@cocotb.test(
expect_error=IndexError
if cocotb.LANGUAGE == "verilog" and cocotb.SIM_NAME.lower().startswith("modelsim")
else ()
)
async def test_in_vect_packed_packed_unpacked(dut):
test_value = [365, 365, 365]
dut.in_vect_packed_packed_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_vect_packed_packed_unpacked.value == test_value
@cocotb.test()
async def test_in_vect_packed_unpacked_unpacked(dut):
test_value = 3 * [3 * [5]]
dut.in_vect_packed_unpacked_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_vect_packed_unpacked_unpacked.value == test_value
@cocotb.test()
async def test_in_vect_unpacked_unpacked_unpacked(dut):
test_value = 3 * [3 * [[1, 0, 1]]]
dut.in_vect_unpacked_unpacked_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_vect_unpacked_unpacked_unpacked.value == test_value
@cocotb.test()
async def test_in_arr_packed_packed(dut):
test_value = (365 << 18) | (365 << 9) | (365)
dut.in_arr_packed_packed.value = test_value
await Timer(1, "ns")
assert dut.out_arr_packed_packed.value == test_value
# Questa is unable to access elements of a logic array if the last dimension is unpacked (gh-2605)
@cocotb.test(
expect_error=IndexError
if cocotb.LANGUAGE == "verilog" and cocotb.SIM_NAME.lower().startswith("modelsim")
else ()
)
async def test_in_arr_packed_unpacked(dut):
test_value = [365, 365, 365]
dut.in_arr_packed_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_arr_packed_unpacked.value == test_value
@cocotb.test()
async def test_in_arr_unpacked_unpacked(dut):
test_value = 3 * [3 * [5]]
dut.in_arr_unpacked_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_arr_unpacked_unpacked.value == test_value
@cocotb.test()
async def test_in_2d_arr_packed(dut):
test_value = (365 << 18) | (365 << 9) | (365)
dut.in_2d_arr_packed.value = test_value
await Timer(1, "ns")
assert dut.out_2d_arr_packed.value == test_value
# Questa is unable to access elements of a logic array if the last dimension is unpacked (gh-2605)
@cocotb.test(
expect_error=IndexError
if cocotb.LANGUAGE == "verilog" and cocotb.SIM_NAME.lower().startswith("modelsim")
else ()
)
async def test_in_2d_arr_unpacked(dut):
test_value = [365, 365, 365]
dut.in_2d_arr_unpacked.value = test_value
await Timer(1, "ns")
assert dut.out_2d_arr_unpacked.value == test_value
@cocotb.test()
async def test_in_3d_arr(dut):
test_value = (365 << 18) | (365 << 9) | (365)
dut.in_3d_arr.value = test_value
await Timer(1, "ns")
assert dut.out_3d_arr.value == test_value
| 29.276471
| 98
| 0.71951
| 788
| 4,977
| 4.227157
| 0.077411
| 0.154008
| 0.159712
| 0.132092
| 0.977784
| 0.945362
| 0.903933
| 0.87211
| 0.861903
| 0.833684
| 0
| 0.04292
| 0.171388
| 4,977
| 169
| 99
| 29.449704
| 0.764791
| 0.058268
| 0
| 0.476563
| 0
| 0
| 0.017724
| 0
| 0
| 0
| 0.01089
| 0
| 0.148438
| 1
| 0
| false
| 0
| 0.015625
| 0
| 0.015625
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
abd0bf7154f534a1d79c947e99b27c00f9a3854a
| 308
|
py
|
Python
|
pymoo/model/repair.py
|
Electr0phile/pymoo
|
652428473cc68b6d9deada3792635bc8a831b255
|
[
"Apache-2.0"
] | 11
|
2018-05-22T17:38:02.000Z
|
2022-02-28T03:34:33.000Z
|
pymoo/model/repair.py
|
Asurada2015/pymoo
|
023a787d0b78813e789f170a3e94b2de85605aff
|
[
"Apache-2.0"
] | null | null | null |
pymoo/model/repair.py
|
Asurada2015/pymoo
|
023a787d0b78813e789f170a3e94b2de85605aff
|
[
"Apache-2.0"
] | 2
|
2018-05-29T21:16:52.000Z
|
2021-03-26T10:10:45.000Z
|
from abc import abstractmethod
class Repair:
"""
This class is allows to repair individuals after crossover if necessary.
"""
def do(self, problem, pop, **kwargs):
return self._do(problem, pop, **kwargs)
@abstractmethod
def _do(self, problem, pop, **kwargs):
pass
| 20.533333
| 76
| 0.63961
| 37
| 308
| 5.27027
| 0.621622
| 0.153846
| 0.246154
| 0.164103
| 0.25641
| 0.25641
| 0
| 0
| 0
| 0
| 0
| 0
| 0.256494
| 308
| 14
| 77
| 22
| 0.851528
| 0.233766
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0.142857
| 0.142857
| 0.142857
| 0.714286
| 0
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
|
0
| 6
|
05250b1dcf19b770263328fe07380adc6b5ae3f3
| 174
|
py
|
Python
|
alg3dpy/tests/test_areas.py
|
saullocastro/alg3dpy
|
a3bf5fcef177a869447661166bf4aa7ef4365568
|
[
"BSD-3-Clause"
] | 2
|
2019-02-05T06:12:27.000Z
|
2020-03-15T21:37:33.000Z
|
alg3dpy/tests/test_areas.py
|
saullocastro/alg3dpy
|
a3bf5fcef177a869447661166bf4aa7ef4365568
|
[
"BSD-3-Clause"
] | null | null | null |
alg3dpy/tests/test_areas.py
|
saullocastro/alg3dpy
|
a3bf5fcef177a869447661166bf4aa7ef4365568
|
[
"BSD-3-Clause"
] | null | null | null |
import numpy as np
from alg3dpy.areas import area_tria
def test_areas():
assert np.isclose(area_tria([0, 2, 0], [2, 0, 0], [0, 0, 2]),
3.4641016151377557)
| 19.333333
| 65
| 0.626437
| 29
| 174
| 3.655172
| 0.586207
| 0.056604
| 0.056604
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.201493
| 0.229885
| 174
| 8
| 66
| 21.75
| 0.589552
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 1
| 0.2
| true
| 0
| 0.4
| 0
| 0.6
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
052ebbf4af88cfa99543d5434bc3a0c01518858c
| 212
|
py
|
Python
|
starters/dockerized-django/default/{{cookiecutter.project_slug}}/config/settings/production.py
|
GreenDeploy-io/greendeploy-starters
|
58b4322a401568652a7e64b2ef148711364bd8eb
|
[
"Apache-2.0"
] | 1
|
2022-02-22T09:05:39.000Z
|
2022-02-22T09:05:39.000Z
|
starters/dockerized-django/default/{{cookiecutter.project_slug}}/config/settings/production.py
|
GreenDeploy-io/greendeploy-starters
|
58b4322a401568652a7e64b2ef148711364bd8eb
|
[
"Apache-2.0"
] | 1
|
2022-02-22T05:18:59.000Z
|
2022-02-22T05:19:10.000Z
|
starters/dockerized-django/default/{{cookiecutter.project_slug}}/config/settings/production.py
|
GreenDeploy-io/greendeploy-starters
|
58b4322a401568652a7e64b2ef148711364bd8eb
|
[
"Apache-2.0"
] | null | null | null |
from .base import * # noqa
from .base import env
# https://docs.djangoproject.com/en/dev/ref/settings/#allowed-hosts
ALLOWED_HOSTS = env.list("DJANGO_ALLOWED_HOSTS", default=["{{ cookiecutter.domain_name }}"])
| 35.333333
| 92
| 0.745283
| 29
| 212
| 5.310345
| 0.724138
| 0.233766
| 0.181818
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.09434
| 212
| 5
| 93
| 42.4
| 0.802083
| 0.325472
| 0
| 0
| 0
| 0
| 0.359712
| 0.172662
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.666667
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
0561431dc3a941169e4ce06d2ea530fbe0a1e7d6
| 235
|
py
|
Python
|
eeyore/models/__init__.py
|
papamarkou/eeyore
|
4cd9b5a619cd095035aa93f348d1c937629aa8a3
|
[
"MIT"
] | 6
|
2020-04-22T18:56:46.000Z
|
2021-09-09T15:57:48.000Z
|
eeyore/models/__init__.py
|
papamarkou/eeyore
|
4cd9b5a619cd095035aa93f348d1c937629aa8a3
|
[
"MIT"
] | 19
|
2019-11-14T21:22:21.000Z
|
2020-10-31T16:18:36.000Z
|
eeyore/models/__init__.py
|
scidom/eeyore
|
4cd9b5a619cd095035aa93f348d1c937629aa8a3
|
[
"MIT"
] | null | null | null |
from .bayesian_model import BayesianModel
from .distribution_model import DistributionModel
from .log_target_model import LogTargetModel
from .logistic_regression import LogisticRegression
from .mlp import MLP
from .model import Model
| 33.571429
| 51
| 0.87234
| 29
| 235
| 6.896552
| 0.482759
| 0.22
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.102128
| 235
| 6
| 52
| 39.166667
| 0.947867
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
058714b5d002b7dd325b16ba045d56251d24b249
| 3,770
|
py
|
Python
|
tests.py
|
Holzhaus/python-markdown-full-yaml-metadata
|
288653ff2ee10e33b1fd262d080783e286d07ed0
|
[
"MIT"
] | 8
|
2018-11-06T05:40:48.000Z
|
2021-08-22T10:01:45.000Z
|
tests.py
|
Holzhaus/python-markdown-full-yaml-metadata
|
288653ff2ee10e33b1fd262d080783e286d07ed0
|
[
"MIT"
] | 11
|
2019-01-23T10:19:06.000Z
|
2021-07-30T22:17:51.000Z
|
tests.py
|
Holzhaus/python-markdown-full-yaml-metadata
|
288653ff2ee10e33b1fd262d080783e286d07ed0
|
[
"MIT"
] | 3
|
2019-03-01T15:17:12.000Z
|
2020-12-29T17:57:01.000Z
|
import markdown
import pytest
@pytest.mark.parametrize(
"source, expected_meta, expected_body",
(
[
"""---
title: What is Lorem Ipsum?
category: Lorem Ipsum
...
Lorem Ipsum is simply dummy text.
""",
{"title": "What is Lorem Ipsum?", "category": "Lorem Ipsum"},
"<p>Lorem Ipsum is simply dummy text.</p>",
],
[
"""---
TITLE: Where does it come from?
Author: Sivakov Nikita
---
Contrary to popular belief, Lorem Ipsum is...
""",
{"TITLE": "Where does it come from?", "Author": "Sivakov Nikita"},
"<p>Contrary to popular belief, Lorem Ipsum is...</p>",
],
),
)
def test_plain_metadata(source, expected_meta, expected_body):
md = markdown.Markdown(extensions=["full_yaml_metadata"])
assert md.convert(source) == expected_body
assert md.Meta == expected_meta
@pytest.mark.parametrize(
"source, expected_meta, expected_body",
(
[
"""---
title: What is Lorem Ipsum?
categories:
- Lorem Ipsum
- Stupid posts
...
Lorem Ipsum is simply dummy text.
""",
{
"title": "What is Lorem Ipsum?",
"categories": ["Lorem Ipsum", "Stupid posts"],
},
"<p>Lorem Ipsum is simply dummy text.</p>",
],
[
"""---
TITLE: Where does it come from?
Authors:
- Sivakov Nikita
- Another Guy
---
Contrary to popular belief, Lorem Ipsum is...
""",
{
"TITLE": "Where does it come from?",
"Authors": ["Sivakov Nikita", "Another Guy"],
},
"<p>Contrary to popular belief, Lorem Ipsum is...</p>",
],
),
)
def test_metadata_with_lists(source, expected_meta, expected_body):
md = markdown.Markdown(extensions=["full_yaml_metadata"])
assert md.convert(source) == expected_body
assert md.Meta == expected_meta
@pytest.mark.parametrize(
"source, expected_meta, expected_body",
(
[
"""---
title: What is Lorem Ipsum?
categories:
first: Lorem Ipsum
second: Stupid posts
...
Lorem Ipsum is simply dummy text.
""",
{
"title": "What is Lorem Ipsum?",
"categories": {
"first": "Lorem Ipsum",
"second": "Stupid posts",
},
},
"<p>Lorem Ipsum is simply dummy text.</p>",
],
[
"""---
TITLE: Where does it come from?
Authors:
first: CryptoManiac
second: Another Guy
---
Contrary to popular belief, Lorem Ipsum is...
""",
{
"TITLE": "Where does it come from?",
"Authors": {"first": "CryptoManiac", "second": "Another Guy"},
},
"<p>Contrary to popular belief, Lorem Ipsum is...</p>",
],
),
)
def test_metadata_with_dicts(source, expected_meta, expected_body):
md = markdown.Markdown(extensions=["full_yaml_metadata"])
assert md.convert(source) == expected_body
assert md.Meta == expected_meta
@pytest.mark.parametrize(
"source, expected_body",
(
[
"Lorem Ipsum is simply dummy text.",
"<p>Lorem Ipsum is simply dummy text.</p>",
],
[
"Contrary to popular belief, Lorem Ipsum is...",
"<p>Contrary to popular belief, Lorem Ipsum is...</p>",
],
),
)
def test_without_metadata(source, expected_body):
md = markdown.Markdown(extensions=["full_yaml_metadata"])
assert md.convert(source) == expected_body
assert md.Meta is None
def test_meta_is_acceccable_before_parsing():
md = markdown.Markdown(extensions=["full_yaml_metadata"])
assert md.Meta is None
| 24.480519
| 78
| 0.557029
| 405
| 3,770
| 5.071605
| 0.14321
| 0.136319
| 0.093476
| 0.070107
| 0.946446
| 0.938656
| 0.938656
| 0.925511
| 0.894352
| 0.833009
| 0
| 0
| 0.306631
| 3,770
| 153
| 79
| 24.640523
| 0.785769
| 0
| 0
| 0.478723
| 0
| 0
| 0.338554
| 0
| 0
| 0
| 0
| 0
| 0.095745
| 1
| 0.053191
| false
| 0
| 0.021277
| 0
| 0.074468
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
e98dfc500b20b614da321438c36c2d53b27f97f1
| 5,066
|
py
|
Python
|
actualidad/views.py
|
shiminasai/cantera
|
90f162351e1ad6ffaaf79cf90c361e302ab6e09f
|
[
"MIT"
] | null | null | null |
actualidad/views.py
|
shiminasai/cantera
|
90f162351e1ad6ffaaf79cf90c361e302ab6e09f
|
[
"MIT"
] | null | null | null |
actualidad/views.py
|
shiminasai/cantera
|
90f162351e1ad6ffaaf79cf90c361e302ab6e09f
|
[
"MIT"
] | 2
|
2019-04-10T19:45:42.000Z
|
2019-04-24T17:16:40.000Z
|
from django.shortcuts import render,redirect
from .models import *
from evento.models import *
from organizaciones.models import Pais
import datetime
from taggit.models import *
from django.db.models import Q, Count
# Create your views here.
# def list_actualidad(request,template='list_actualidad.html'):
# if request.GET.get('buscador'):
# q = request.GET['buscador']
# list_object = Actualidad.objects.filter(
# Q(tittle__icontains = q) |
# Q(tematica__nombre__icontains = q) |
# Q(tags__name__icontains = q),
# category__in = ['noticias','situacion-regional-genero']).order_by('created_on')
# else:
# list_object = Actualidad.objects.filter(category__in = ['noticias','situacion-regional-genero']).order_by('created_on')
# list_paises = Pais.objects.order_by('nombre')
# hoy = datetime.date.today()
# prox_eventos = Evento.objects.filter(inicio__gte = hoy).order_by('inicio')[:3]
# tags = Actualidad.tags.most_common( extra_filters={'id__in': list_object})[:6]
# return render(request, template, locals())
def filtro_pais(request,slug,category,template='list_actualidad.html'):
if request.GET.get('buscador'):
q = request.GET['buscador']
list_object = Actualidad.objects.filter(
Q(pais__icontains = q),
category = category,aprobado = True).order_by('created_on')
else:
list_object = Actualidad.objects.filter(pais__slug = slug, category = category,aprobado = True).order_by('created_on')
list_paises = Actualidad.objects.filter(category = category).values_list('pais__nombre','pais__slug').order_by('pais__nombre').distinct('pais__nombre')
hoy = datetime.date.today()
prox_eventos = Evento.objects.filter(inicio__gte = hoy,aprobado = True).order_by('inicio')[:3]
ids = list_object.values_list('id',flat=True)
tags = Actualidad.tags.most_common(min_count=2,extra_filters={'id__in': ids})[:6]
pais = Pais.objects.get(slug = slug)
return render(request, template, locals())
def filtro_categoria(request,category,template='list_actualidad.html'):
if request.GET.get('buscador'):
q = request.GET['buscador']
list_object = Actualidad.objects.filter(
Q(tittle__icontains = q) |
Q(tematica__nombre__icontains = q) |
Q(tags__name__icontains = q),
category = category,aprobado = True).order_by('-created_on')
else:
list_object = Actualidad.objects.filter(category = category,aprobado = True).order_by('-created_on')
list_paises = Actualidad.objects.filter(category = category).values_list('pais__nombre','pais__slug').distinct('pais__nombre').order_by('pais__nombre')
hoy = datetime.date.today()
prox_eventos = Evento.objects.filter(inicio__gte = hoy,aprobado = True).order_by('inicio')[:3]
ids = list_object.values_list('id',flat=True)
tags = Actualidad.tags.most_common(min_count=2,extra_filters={'id__in': ids})[:6]
return render(request, template, locals())
def filtro_tag(request,slug,category,template='list_actualidad.html'):
if request.GET.get('buscador'):
q = request.GET['buscador']
list_object = Actualidad.objects.filter(
Q(tittle__icontains = q) |
Q(tematica__nombre__icontains = q) |
Q(tags__name__icontains = q),
category = category,aprobado = True).order_by('created_on')
else:
list_object = Actualidad.objects.filter(category = category,tags__slug = slug,aprobado = True).order_by('created_on')
list_paises = Actualidad.objects.filter(category = category).values_list('pais__nombre','pais__slug').distinct('pais__nombre').order_by('pais__nombre')
hoy = datetime.date.today()
prox_eventos = Evento.objects.filter(inicio__gte = hoy,aprobado = True).order_by('inicio')[:3]
ids = list_object.values_list('id',flat=True)
tags = Actualidad.tags.most_common(min_count=2,extra_filters={'id__in': ids})[:6]
return render(request, template, locals())
def detalle_actualidad(request,slug, template = 'detail_actualidad.html'):
if request.GET.get('buscador'):
q = request.GET['buscador']
object = Actualidad.objects.get(slug = slug)
list_object = Actualidad.objects.filter(
Q(tittle__icontains = q) |
Q(tematica__nombre__icontains = q) |
Q(tags__name__icontains = q),
category = object.category).order_by('created_on')
return render(request,'list_actualidad.html',locals())
else:
object = Actualidad.objects.get(slug = slug)
list_object = Actualidad.objects.filter(category = object.category,aprobado = True).order_by('created_on')
list_paises = Actualidad.objects.filter(category = object.category).values_list('pais__nombre','pais__slug').distinct('pais__nombre').order_by('pais__nombre')
hoy = datetime.date.today()
prox_eventos = Evento.objects.filter(inicio__gte = hoy).order_by('inicio')[:3]
ids = list_object.values_list('id',flat=True)
tags = Actualidad.tags.most_common(min_count=2,extra_filters={'id__in': ids})[:6]
return render(request, template, locals())
| 45.63964
| 161
| 0.710422
| 655
| 5,066
| 5.20458
| 0.120611
| 0.041068
| 0.094456
| 0.079202
| 0.85773
| 0.849516
| 0.840716
| 0.828395
| 0.814022
| 0.814022
| 0
| 0.003242
| 0.147651
| 5,066
| 110
| 162
| 46.054545
| 0.786244
| 0.160679
| 0
| 0.684932
| 0
| 0
| 0.118303
| 0.005333
| 0
| 0
| 0
| 0
| 0
| 1
| 0.054795
| false
| 0
| 0.09589
| 0
| 0.219178
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
e99c72125e21d2371c1a0468d1afab84a684416c
| 23,161
|
py
|
Python
|
test_vt_2.py
|
drobotun/virustotalapi
|
812c5839f944448548270f94f753b9fe0025b6fb
|
[
"MIT"
] | null | null | null |
test_vt_2.py
|
drobotun/virustotalapi
|
812c5839f944448548270f94f753b9fe0025b6fb
|
[
"MIT"
] | null | null | null |
test_vt_2.py
|
drobotun/virustotalapi
|
812c5839f944448548270f94f753b9fe0025b6fb
|
[
"MIT"
] | null | null | null |
"""Модуль описывает тесты для проверки методов, реализемых в классе
VirusTotalAPI.
Константы:
API_KEY - должна содержать строку с вашим ключем доступа к API.
TEST_TIMEOUT - необходима для проверки методов при превышении времени
ожидания ответа от сервера.
TEST_FILE_PATH - должен содержать путь к файлу, используемому для
тестирования.
TEST_HASH - тестовое значение MD5-хэша.
TEST_HASH_LIST - тестовый список из 4-х MD5-хэшей.
TEST_URL - тестовое значение URL-адреса.
TEST_URL_LIST - тестовый список из 4-х URL-адресов.
TEST_IP - тестовое значение IP-адреса.
TEST_DOMAIN - тестовое значение имени домена.
TEST_PROXI - тестовое значение протокола и URL-адрес прокси-сервера
(необходимо для моделирования ошибки соединения с сервером).
TIME_DELAY - необходима для обеспечения возможности многократной
отправки запросов на сервер без превышения лимита.
"""
import unittest
import time
from virustotalapi import VirusTotalAPI
API_KEY = '<ключ доступа к API virustotal>'
TEST_TIMEOUT = 0.05
TEST_FILE_PATH = 'eicar.com'
TEST_HASH = '99017f6eebbac24f351415dd410d522d'
TEST_HASH_LIST = ('eb5911054939bd90a7448e804e9da52a,'
'3cbf18fee357d5a33aab56795238b097,'
'df6c18ddf76bc0240d4ad73068dd4353,'
'b18844bf115530b317a0aed8426efaa4')
TEST_URL = 'www.github.com/drobotun'
TEST_URL_LIST = ('www.github.com/drobotun\n'
'www.xakep.ru/author/drobotun\n'
'www.habr.com/ru/users/drobotun\n'
'www.virustotal.com/gui/user/drobotun/comments')
TEST_IP = '216.239.38.21'
TEST_DOMAIN = 'www.virustotal.com'
TEST_PROXI = {'http': '10.10.1.10:3128',
'https': '10.10.1.10:1080',
'ftp': '10.10.1.10:3128'}
TIME_DELAY = 30
class TestFileReport(unittest.TestCase):
"""Класс для проверки метода 'file_report'. Проверяется:
- работа метода при корректных входных параметрах;
- работа метода при корректных входных параметрах в виде строки из
4 хэшей;
- работа метода при ошибке соединения с сервером;
- работа метода при превышении времени ожидания ответа от сервера;
- работа метода с использованием неверного ключа доступа к API;
- работа метода при некорректных входных параметрах;
- работа метода при превышении лимита запросов (более 4-х запросов
в минуту).
"""
def test_file_report_correct_param(self):
"""Проверка метода 'file_report' с корректными входными параметрами.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_report(TEST_HASH)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'],
vt_api.ERROR_SUCCESS)
def test_file_report_correct_param_list(self):
"""Проверка метода 'file_report' с корректными входными параметрами
в виде строки из 4 хэшей;
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_report(TEST_HASH_LIST)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'],
vt_api.ERROR_SUCCESS)
def test_file_report_connection_error(self):
"""Проверка метода 'file_report' при ошибке соединения с сервером.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_report(TEST_HASH, None, TEST_PROXI)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_CONNECT)
def test_file_report_timeout(self):
"""Проверка метода 'file_report' при превышении времени ожидании
ответа от сервера.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_report(TEST_HASH, TEST_TIMEOUT)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_TIMEOUT)
def test_file_report_invalid_api_key(self):
"""Проверка метода 'file_report' с использованием неверного
ключа доступа к API.
"""
vt_invalid_api_key = VirusTotalAPI()
time.sleep(TIME_DELAY)
response = vt_invalid_api_key.file_report(TEST_HASH)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_invalid_api_key.ERROR_HTTP)
def test_file_report_incorrect_param(self):
"""Проверка метода 'file_report' с некорректными входными параметрами.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_report('This is an incorrect hash value')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_file_report_limit(self):
"""Проверка метода 'file_report' при превышении лмита запросов
(более 4-х запросов в минуту).
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_report(TEST_HASH)
response = vt_api.file_report(TEST_HASH)
response = vt_api.file_report(TEST_HASH)
response = vt_api.file_report(TEST_HASH)
response = vt_api.file_report(TEST_HASH)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_HTTP)
class TestFileScan(unittest.TestCase):
"""Класс для проверки метода 'file_scan'. Проверяется:
- работа метода при корректных входных параметрах (валидный путь
к сканируемому файлу);
- работа метода при ошибке соединения с сервером;
- работа метода при превышении времени ожидания ответа от сервера;
- работа метода с использованием неверного ключа доступа к API;
- работа метода при отправке файла размером более 32 MB;
- работа метода при некорректных входных параметрах (невалидный
путь к сканируемому файлу).
"""
def test_file_scan_correct_param(self):
"""Проверка метода 'file_scan' при корректных входных параметрах
(валидный путь к сканируемому файлу).
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_scan(TEST_FILE_PATH)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_file_scan_connect_error(self):
"""Проверка метода 'file_scan' при ошибке соединения с сервером.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_scan(TEST_FILE_PATH, None, TEST_PROXI)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_CONNECT)
def test_file_scan_timeout(self):
"""Проверка метода 'file_scan' при превышении времени ожидания ответа
от сервера.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_scan(TEST_FILE_PATH, TEST_TIMEOUT)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_TIMEOUT)
def test_file_scan_invalid_api_key(self):
"""Проверка метода 'file_scan' при неверном ключе доступа к API.
"""
vt_invalid_api_key = VirusTotalAPI()
time.sleep(TIME_DELAY)
response = vt_invalid_api_key.file_scan(TEST_FILE_PATH)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_invalid_api_key.ERROR_HTTP)
def test_file_scan_file_size_error(self):
"""Проверка метода 'file_scan' при отправке файла размером
более 32 MB.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_scan('d:/test_file.zip') ## файл более 32 MB
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_HTTP)
def test_file_scan_file_name_error(self):
"""Проверка метода 'file_scan' при некорректных входных параметрах
(невалидный путь к сканируемому файлу).
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.file_scan(' ')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_FILE)
class TestURLReport(unittest.TestCase):
"""Класс для проверки метода 'url_report'. Проверяется:
- работа метода при корректных входных параметрах (валидный
URL-адрес);
- работа метода при корректных входных параметрах (валидный
URL-адрес) с использованием параметра 'scan';
- работа метода при корректных входных параметрах (список из
4-х валидных URL-адресов);
- работа метода при корректных входных параметрах (список из
4-х валидных URL-адресов) с использованием параметра 'scan';
- работа метода при ошибке соединения с сервером;
- работа метода при превышении времени ожидания ответа от сервера;
- работа метода с использованием неверного ключа доступа к API;
- работа метода при некорректных входных параметрах;
- работа метода при превышении лимита запросов (более 4-х запросов
в минуту).
"""
def test_url_report_correct_param(self):
"""Проверка метода 'url_report' при корректных входных параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report(TEST_URL)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_report_correct_param_scan(self):
"""Проверка метода 'url_report' при корректных входных параметрах
с использованием параметра 'scan'.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report(TEST_URL, '1')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_report_correct_param_list(self):
"""Проверка метода 'url_report' при корректных входных параметрах
в виде списка из 4-х URL-адресов.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report(TEST_URL_LIST)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_report_correct_param_list_scan(self):
"""Проверка метода 'url_report' при корректных входных параметрах
в виде списка из 4-х URL-адресов с использованием параметра
'scan'.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report(TEST_URL_LIST, '1')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_report_connect_error(self):
"""Проверка метода 'url_report' при ошибке соединения с сервером.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report(TEST_URL, 0, None, TEST_PROXI)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_CONNECT)
def test_url_report_timeout(self):
"""Проверка метода 'url_report' при превышении времени ожидания от
сервера.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report(TEST_URL, 0, TEST_TIMEOUT)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_TIMEOUT)
def test_url_report_invalid_api_key(self):
"""Проверка метода 'url_report' при неверном ключе доступа к API.
"""
vt_api_invalid_api_key = VirusTotalAPI()
time.sleep(TIME_DELAY)
response = vt_api_invalid_api_key.url_report(TEST_URL)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api_invalid_api_key.ERROR_HTTP)
def test_url_report_incorrect_param(self):
"""Проверка метода 'url_report' при некорректных входных параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report('This is an invalid URL value')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_report_limit(self):
"""Проверка метода 'url_report' при превышении лмита запросов
(более 4-х запросов в минуту).
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_report(TEST_URL)
response = vt_api.url_report(TEST_URL)
response = vt_api.url_report(TEST_URL)
response = vt_api.url_report(TEST_URL)
response = vt_api.url_report(TEST_URL)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_HTTP)
class TestURLScan(unittest.TestCase):
"""Класс для проверки метода 'url_scan'. Проверяется:
- работа метода при корректных входных параметрах (валидный
URL-адрес);
- работа метода при корректных входных параметрах (список из
4-х валидных URL-адресов);
- работа метода при ошибке соединения с сервером;
- работа метода при превышении времени ожидания ответа от сервера;
- работа метода с использованием неверного ключа доступа к API;
- работа метода при некорректных входных параметрах;
- работа метода при превышении лимита запросов (более 4-х запросов
в минуту).
"""
def test_url_scan_correct_param(self):
"""Проверка метода 'url_scan' при корректных входных параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_scan(TEST_URL)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_scan_correct_param_list(self):
"""Проверка метода 'url_scan' при корректных входных параметрах
в виде списка из 4-х URL-адресов.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_scan(TEST_URL_LIST)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_scan_connect_error(self):
"""Проверка метода 'url_scan' при ошибке соединения с сервером.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_scan(TEST_URL, None, TEST_PROXI)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_CONNECT)
def test_url_scan_timeout(self):
"""Проверка метода 'url_scan' при превышении времени ожидания
ответа от сервера.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_scan(TEST_URL, TEST_TIMEOUT)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_TIMEOUT)
def test_url_scan_invalid_api_key(self):
"""Проверка метода 'url_scan' при неверном ключе доступа к API.
"""
vt_invalid_api_key = VirusTotalAPI()
time.sleep(TIME_DELAY)
response = vt_invalid_api_key.url_scan(TEST_URL)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'],
vt_invalid_api_key.ERROR_HTTP)
def test_url_scan_incorrect_param(self):
"""Проверка метода 'url_scan' при некорректных входных параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_scan('This is an invalid URL value')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_url_scan_limit(self):
"""Проверка метода 'url_scan' при превышении лмита запросов
(более 4-х запросов в минуту).
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.url_scan(TEST_URL)
response = vt_api.url_scan(TEST_URL)
response = vt_api.url_scan(TEST_URL)
response = vt_api.url_scan(TEST_URL)
response = vt_api.url_scan(TEST_URL)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_HTTP)
class TestIPReport(unittest.TestCase):
"""Класс для проверки метода 'ip_report'. Проверяется:
- работа метода при корректных входных параметрах (валидный
IP-адрес);
- работа метода при ошибке соединения с сервером;
- работа метода при превышении времени ожидания ответа от сервера;
- работа метода с использованием неверного ключа доступа к API;
- работа метода при некорректных входных параметрах;
- работа метода при превышении лимита запросов (более 4-х запросов
в минуту).
"""
def test_ip_report_correct_param(self):
"""Проверка метода 'ip_report' при корректных входных параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.ip_report(TEST_IP)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_ip_report_connect_error(self):
"""Проверка метода 'ip_report' при ошибке соединения с сервером.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.ip_report(TEST_IP, None, TEST_PROXI)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_CONNECT)
def test_ip_report_timeout(self):
"""Проверка метода 'ip_report' при превышении времени ожидания
ответа от сервера.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.ip_report(TEST_IP, TEST_TIMEOUT)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_TIMEOUT)
def test_ip_report_invalid_api_key(self):
"""Проверка метода 'ip_report' при неверном ключе доступа к API.
"""
vt_invalid_api_key = VirusTotalAPI()
time.sleep(TIME_DELAY)
response = vt_invalid_api_key.ip_report(TEST_IP)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_invalid_api_key.ERROR_HTTP)
def test_ip_report_incorrect_param(self):
"""Проверка метода 'url_report' при некорректных входных параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.ip_report('This is an invalid IP value')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_ip_report_limit(self):
"""Проверка метода 'ip_report' при превышении лмита запросов
(более 4-х запросов в минуту).
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.ip_report(TEST_IP)
response = vt_api.ip_report(TEST_IP)
response = vt_api.ip_report(TEST_IP)
response = vt_api.ip_report(TEST_IP)
response = vt_api.ip_report(TEST_IP)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_HTTP)
class TestDpmainReport(unittest.TestCase):
"""Класс для проверки метода 'domain_report'. Проверяется:
- работа метода при корректных входных параметрах (валидное
имя домена);
- работа метода при ошибке соединения с сервером;
- работа метода при превышении времени ожидания ответа от сервера;
- работа метода с использованием неверного ключа доступа к API;
- работа метода при некорректных входных параметрах;
- работа метода при превышении лимита запросов (более 4-х запросов
в минуту).
"""
def test_domain_report_correct_param(self):
"""Проверка метода 'domain_report' при корректных входных параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.domain_report(TEST_DOMAIN)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_domain_report_connection_error(self):
"""Проверка метода 'domain_report' при ошибке соединения с сервером.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.domain_report(TEST_DOMAIN, None, TEST_PROXI)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_CONNECT)
def test_domain_report_timeout(self):
"""Проверка метода 'domain_report' при превышении времени ожидания
ответа от сервера.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.domain_report(TEST_DOMAIN, TEST_TIMEOUT)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_TIMEOUT)
def test_domain_report_invalid_api_key(self):
"""Проверка метода 'domain_report' при неверном ключе доступа к API.
"""
vt_invalid_api_key = VirusTotalAPI()
time.sleep(TIME_DELAY)
response = vt_invalid_api_key.domain_report(TEST_DOMAIN)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_invalid_api_key.ERROR_HTTP)
def test_domain_report_incorrect_param(self):
"""Проверка метода 'domain_report' при некорректных входных
параметрах.
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.domain_report('This is an invalid domain value')
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_SUCCESS)
def test_domain_report_limit(self):
"""Проверка метода 'idomain_report' при превышении лмита запросов
(более 4-х запросов в минуту).
"""
vt_api = VirusTotalAPI(API_KEY)
time.sleep(TIME_DELAY)
response = vt_api.domain_report(TEST_DOMAIN)
response = vt_api.domain_report(TEST_DOMAIN)
response = vt_api.domain_report(TEST_DOMAIN)
response = vt_api.domain_report(TEST_DOMAIN)
response = vt_api.domain_report(TEST_DOMAIN)
time.sleep(TIME_DELAY)
self.assertEqual(response['error_code'], vt_api.ERROR_HTTP)
if __name__ == '__main__':
unittest.main()
| 41.358929
| 84
| 0.65878
| 2,832
| 23,161
| 5.116879
| 0.068503
| 0.044165
| 0.073563
| 0.101856
| 0.902077
| 0.887585
| 0.84411
| 0.769098
| 0.756124
| 0.722034
| 0
| 0.010534
| 0.258149
| 23,161
| 559
| 85
| 41.432916
| 0.832848
| 0.319675
| 0
| 0.645485
| 0
| 0
| 0.073193
| 0.022642
| 0
| 0
| 0
| 0
| 0.137124
| 1
| 0.137124
| false
| 0
| 0.010033
| 0
| 0.167224
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
e9b56bba309413d939e5d36d10f5bceefc6e8616
| 7,791
|
py
|
Python
|
nginx/migrations/0004_auto_20200806_0837.py
|
rockychen-dpaw/it-assets
|
92ec23c6a413c5c45bb3d96981d6af68535d225c
|
[
"Apache-2.0"
] | 4
|
2018-11-16T13:49:49.000Z
|
2021-08-19T05:16:50.000Z
|
nginx/migrations/0004_auto_20200806_0837.py
|
rockychen-dpaw/it-assets
|
92ec23c6a413c5c45bb3d96981d6af68535d225c
|
[
"Apache-2.0"
] | 10
|
2018-07-06T09:34:56.000Z
|
2022-01-28T06:09:05.000Z
|
nginx/migrations/0004_auto_20200806_0837.py
|
rockychen-dpaw/it-assets
|
92ec23c6a413c5c45bb3d96981d6af68535d225c
|
[
"Apache-2.0"
] | 9
|
2018-05-05T23:29:10.000Z
|
2020-06-26T02:29:17.000Z
|
# Generated by Django 2.2.14 on 2020-08-06 00:37
import django.contrib.postgres.fields
from django.db import migrations, models
import django.db.models.deletion
import nginx.models
class Migration(migrations.Migration):
dependencies = [
('nginx', '0003_auto_20200721_1129'),
]
operations = [
migrations.CreateModel(
name='RequestParameterFilter',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('filter_code', models.CharField(help_text="A lambda function with two parameters 'webserver' and 'request_path'", max_length=512, unique=True)),
('included_parameters', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=64), blank=True, help_text='The list of parameters', null=True, size=None)),
('excluded_parameters', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=64), blank=True, help_text='The list of parameters excluded from the request parameters', null=True, size=None)),
('case_insensitive', models.BooleanField(default=True)),
('order', models.PositiveSmallIntegerField(default=0, help_text='The order to find the filter rule, high order means hight priority')),
('changed', models.DateTimeField(auto_now=True, help_text='The last time when the filter was changed')),
('applied', models.DateTimeField(editable=False, help_text='The last time when the filter was applied to the existed data', null=True)),
],
),
migrations.CreateModel(
name='RequestPathNormalizer',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('filter_code', models.CharField(help_text="A lambda function with two parameters 'webserver' and 'request_path'", max_length=512, unique=True)),
('normalize_code', models.TextField(help_text="The source code of the module which contains a method 'def normalize(request_path)' to return a normalized request path", unique=True)),
('order', models.PositiveSmallIntegerField(default=0, help_text='The order to find the filter rule, high order means hight priority')),
('changed', models.DateTimeField(auto_now=True, help_text='The last time when the filter was changed')),
('applied', models.DateTimeField(editable=False, help_text='The last time when the filter was applied to the existed data', null=True)),
],
),
migrations.AddField(
model_name='webapplocation',
name='score',
field=models.PositiveIntegerField(default=0, editable=False),
),
migrations.CreateModel(
name='WebAppAccessLog',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('log_starttime', models.DateTimeField(editable=False)),
('log_endtime', models.DateTimeField(editable=False)),
('webserver', models.CharField(editable=False, max_length=256)),
('request_path', models.CharField(editable=False, max_length=512)),
('path_parameters', models.TextField(editable=False, null=True)),
('all_path_parameters', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=64), editable=False, null=True, size=None)),
('http_status', models.PositiveIntegerField(editable=False)),
('requests', models.PositiveIntegerField(editable=False)),
('max_response_time', models.FloatField(editable=False)),
('min_response_time', models.FloatField(editable=False)),
('avg_response_time', models.FloatField(editable=False)),
('total_response_time', models.FloatField(editable=False)),
('webapp', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='logs', to='nginx.WebApp')),
('webapplocation', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='logs', to='nginx.WebAppLocation')),
],
options={
'unique_together': {('log_starttime', 'webserver', 'request_path', 'http_status', 'path_parameters')},
'index_together': {('webapp', 'webapplocation'), ('log_starttime', 'webapp', 'webapplocation')},
},
bases=(nginx.models.PathParametersMixin, models.Model),
),
migrations.CreateModel(
name='WebAppAccessDailyReport',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('log_day', models.DateField(editable=False)),
('webserver', models.CharField(editable=False, max_length=256)),
('requests', models.PositiveIntegerField(default=0, editable=False)),
('success_requests', models.PositiveIntegerField(default=0, editable=False)),
('error_requests', models.PositiveIntegerField(default=0, editable=False)),
('unauthorized_requests', models.PositiveIntegerField(default=0, editable=False)),
('timeout_requests', models.PositiveIntegerField(default=0, editable=False)),
('webapp', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='dailyreports', to='nginx.WebApp')),
],
options={
'unique_together': {('log_day', 'webserver')},
'index_together': {('log_day', 'webapp'), ('webapp',)},
},
),
migrations.CreateModel(
name='WebAppAccessDailyLog',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('log_day', models.DateField(editable=False)),
('webserver', models.CharField(editable=False, max_length=256)),
('request_path', models.CharField(editable=False, max_length=512)),
('path_parameters', models.TextField(editable=False, null=True)),
('all_path_parameters', django.contrib.postgres.fields.ArrayField(base_field=models.CharField(max_length=64), editable=False, null=True, size=None)),
('http_status', models.PositiveIntegerField(editable=False)),
('requests', models.PositiveIntegerField(editable=False)),
('max_response_time', models.FloatField(editable=False)),
('min_response_time', models.FloatField(editable=False)),
('avg_response_time', models.FloatField(editable=False)),
('total_response_time', models.FloatField(editable=False)),
('webapp', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='dailylogs', to='nginx.WebApp')),
('webapplocation', models.ForeignKey(editable=False, null=True, on_delete=django.db.models.deletion.SET_NULL, related_name='dailylogs', to='nginx.WebAppLocation')),
],
options={
'unique_together': {('log_day', 'webserver', 'request_path', 'http_status', 'path_parameters')},
'index_together': {('webapp', 'webapplocation'), ('log_day', 'webapp', 'webapplocation')},
},
bases=(nginx.models.PathParametersMixin, models.Model),
),
]
| 68.946903
| 234
| 0.640483
| 806
| 7,791
| 6.038462
| 0.184864
| 0.1015
| 0.020341
| 0.038833
| 0.818574
| 0.809945
| 0.792275
| 0.722827
| 0.695706
| 0.695706
| 0
| 0.01142
| 0.22449
| 7,791
| 112
| 235
| 69.5625
| 0.794108
| 0.005904
| 0
| 0.584906
| 1
| 0.009434
| 0.242154
| 0.017306
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.037736
| 0
| 0.066038
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
e9b6c71a251608df636becca80962f0454867b53
| 42
|
py
|
Python
|
nifstd/complete/context_bug_import.py
|
tmsincomb/pyontutils
|
dad24e7178d8d8cd3bd60d53b9039952fa7a5a1e
|
[
"MIT"
] | 11
|
2017-05-12T08:50:03.000Z
|
2022-01-22T20:23:25.000Z
|
nifstd/complete/context_bug_import.py
|
tmsincomb/pyontutils
|
dad24e7178d8d8cd3bd60d53b9039952fa7a5a1e
|
[
"MIT"
] | 81
|
2016-02-25T07:39:15.000Z
|
2022-02-17T20:20:27.000Z
|
nifstd/complete/context_bug_import.py
|
tmsincomb/pyontutils
|
dad24e7178d8d8cd3bd60d53b9039952fa7a5a1e
|
[
"MIT"
] | 257
|
2017-07-18T19:32:22.000Z
|
2022-02-03T17:26:18.000Z
|
#!/usr/bin/env python3
import context_bug
| 14
| 22
| 0.785714
| 7
| 42
| 4.571429
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.026316
| 0.095238
| 42
| 2
| 23
| 21
| 0.815789
| 0.5
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
75735a7a113c8ab46e2ac826b7a8b244cc434618
| 118
|
py
|
Python
|
EduSim/Envs/KSS/Agent.py
|
bigdata-ustc/EduSim
|
849eed229c24615e5f2c3045036311e83c22ea68
|
[
"MIT"
] | 18
|
2019-11-11T03:45:35.000Z
|
2022-02-09T15:31:51.000Z
|
EduSim/Envs/KSS/Agent.py
|
ghzhao78506/EduSim
|
cb10e952eb212d8a9344143f889207b5cd48ba9d
|
[
"MIT"
] | 3
|
2020-10-23T01:05:57.000Z
|
2021-03-16T12:12:24.000Z
|
EduSim/Envs/KSS/Agent.py
|
bigdata-ustc/EduSim
|
849eed229c24615e5f2c3045036311e83c22ea68
|
[
"MIT"
] | 6
|
2020-06-09T21:32:00.000Z
|
2022-03-12T00:25:18.000Z
|
# coding: utf-8
# 2020/5/8 @ tongshiwei
from EduSim.SimOS import RandomAgent
class KSSAgent(RandomAgent):
pass
| 13.111111
| 36
| 0.728814
| 16
| 118
| 5.375
| 0.875
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.072165
| 0.177966
| 118
| 8
| 37
| 14.75
| 0.814433
| 0.29661
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0.333333
| 0.333333
| 0
| 0.666667
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
| 1
| 0
|
0
| 6
|
75badc607adad4cfd793eb90dfcea78a1162ba3f
| 203
|
py
|
Python
|
libsquiggly/analysis/__init__.py
|
staticfloat/libsquiggly
|
79c63c119a60e2e9c558aefcda6b1c1ac413a47a
|
[
"MIT"
] | null | null | null |
libsquiggly/analysis/__init__.py
|
staticfloat/libsquiggly
|
79c63c119a60e2e9c558aefcda6b1c1ac413a47a
|
[
"MIT"
] | null | null | null |
libsquiggly/analysis/__init__.py
|
staticfloat/libsquiggly
|
79c63c119a60e2e9c558aefcda6b1c1ac413a47a
|
[
"MIT"
] | null | null | null |
# Only export very specific items
from .matched_filter import energy, matched_filter, subsample_matched_filter
from .rolling_abs_mean import rolling_abs_mean
from .peak_suppression import suppress_peaks
| 40.6
| 76
| 0.871921
| 29
| 203
| 5.758621
| 0.62069
| 0.233533
| 0.167665
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.098522
| 203
| 4
| 77
| 50.75
| 0.912568
| 0.152709
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
75c577a0b6b5ed412cf0b29aefbfbddd9f219408
| 125
|
py
|
Python
|
deep/computer_vision/CycleGan/__init__.py
|
Jwuthri/DeepAlgos
|
cd1062a0339f6bf68fcdef26ade1c612ac6983f9
|
[
"MIT"
] | null | null | null |
deep/computer_vision/CycleGan/__init__.py
|
Jwuthri/DeepAlgos
|
cd1062a0339f6bf68fcdef26ade1c612ac6983f9
|
[
"MIT"
] | null | null | null |
deep/computer_vision/CycleGan/__init__.py
|
Jwuthri/DeepAlgos
|
cd1062a0339f6bf68fcdef26ade1c612ac6983f9
|
[
"MIT"
] | null | null | null |
"""
Cycle Gan:
Cycle Gan can generate photos from paintings, turn horses into zebras, perform style transfer, and more.
"""
| 125
| 125
| 0.744
| 18
| 125
| 5.166667
| 0.888889
| 0.172043
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168
| 125
| 1
| 125
| 125
| 0.894231
| 0.928
| 0
| null | 1
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
f9bb12a5791628a11cf25a690d258e56174ad67c
| 244
|
py
|
Python
|
lemon/models.py
|
lemon-chat/lemon-server-python
|
5947b52b3c4535ae54fe2705a830db07fdaf741d
|
[
"MIT"
] | null | null | null |
lemon/models.py
|
lemon-chat/lemon-server-python
|
5947b52b3c4535ae54fe2705a830db07fdaf741d
|
[
"MIT"
] | null | null | null |
lemon/models.py
|
lemon-chat/lemon-server-python
|
5947b52b3c4535ae54fe2705a830db07fdaf741d
|
[
"MIT"
] | null | null | null |
from .application import mongo
class User(mongo.Document):
userid = mongo.IntField(required=True)
username = mongo.StringField(max_length=50)
email = mongo.StringField(max_length=50)
password = mongo.StringField(max_length=50)
| 30.5
| 47
| 0.754098
| 31
| 244
| 5.83871
| 0.580645
| 0.265193
| 0.314917
| 0.414365
| 0.447514
| 0
| 0
| 0
| 0
| 0
| 0
| 0.028708
| 0.143443
| 244
| 7
| 48
| 34.857143
| 0.837321
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.166667
| 0.166667
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 6
|
ddb4ab4500bc9f30daf984e73a94338da9e21197
| 59
|
py
|
Python
|
home/web/__init__.py
|
keaneokelley/home
|
e58e86d4490a5b1b0be77537604aac4a579af839
|
[
"MIT"
] | null | null | null |
home/web/__init__.py
|
keaneokelley/home
|
e58e86d4490a5b1b0be77537604aac4a579af839
|
[
"MIT"
] | null | null | null |
home/web/__init__.py
|
keaneokelley/home
|
e58e86d4490a5b1b0be77537604aac4a579af839
|
[
"MIT"
] | null | null | null |
from home.web.events import *
from home.web.fido2 import *
| 19.666667
| 29
| 0.762712
| 10
| 59
| 4.5
| 0.6
| 0.355556
| 0.488889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.019608
| 0.135593
| 59
| 2
| 30
| 29.5
| 0.862745
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 6
|
fb142fa42e5346d6ae61ef72e7421f1694796f13
| 47
|
py
|
Python
|
digsigserver/signers/__init__.py
|
ichergui/digsigserver
|
dbd865c2bafe69510f4da41e473e4a3adb037f3e
|
[
"MIT"
] | 9
|
2020-01-17T01:03:13.000Z
|
2022-03-14T16:47:22.000Z
|
digsigserver/signers/__init__.py
|
ichergui/digsigserver
|
dbd865c2bafe69510f4da41e473e4a3adb037f3e
|
[
"MIT"
] | 7
|
2020-04-19T18:41:47.000Z
|
2021-11-30T20:52:59.000Z
|
digsigserver/signers/__init__.py
|
ichergui/digsigserver
|
dbd865c2bafe69510f4da41e473e4a3adb037f3e
|
[
"MIT"
] | 5
|
2020-10-28T20:40:07.000Z
|
2022-03-28T13:52:43.000Z
|
from digsigserver.signers.signer import Signer
| 23.5
| 46
| 0.87234
| 6
| 47
| 6.833333
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085106
| 47
| 1
| 47
| 47
| 0.953488
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
34a2d7933d2e1baf938d76046b21cbdc53fabfc7
| 75
|
py
|
Python
|
cnsenti/__init__.py
|
edddyeddy/cnsenti
|
049ffbc41c5c22f112a66350216d13d3f6d9809e
|
[
"MIT"
] | 140
|
2020-03-27T11:37:37.000Z
|
2021-05-14T01:01:29.000Z
|
cnsenti/__init__.py
|
edddyeddy/cnsenti
|
049ffbc41c5c22f112a66350216d13d3f6d9809e
|
[
"MIT"
] | 4
|
2020-04-12T02:47:53.000Z
|
2021-05-07T11:15:25.000Z
|
cnsenti/__init__.py
|
edddyeddy/cnsenti
|
049ffbc41c5c22f112a66350216d13d3f6d9809e
|
[
"MIT"
] | 32
|
2020-04-07T09:09:45.000Z
|
2021-04-28T15:53:24.000Z
|
from cnsenti.emotion import Emotion
from cnsenti.sentiment import Sentiment
| 37.5
| 39
| 0.88
| 10
| 75
| 6.6
| 0.5
| 0.333333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.093333
| 75
| 2
| 39
| 37.5
| 0.970588
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| 0
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| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
34f4da0d27cea2d1bb00df108dabc2800525c397
| 68
|
py
|
Python
|
dice_tools/__init__.py
|
dicehub/dice_tools
|
7b3e70103180e64ddcf0f3de95cdbaa3e8019978
|
[
"MIT"
] | null | null | null |
dice_tools/__init__.py
|
dicehub/dice_tools
|
7b3e70103180e64ddcf0f3de95cdbaa3e8019978
|
[
"MIT"
] | null | null | null |
dice_tools/__init__.py
|
dicehub/dice_tools
|
7b3e70103180e64ddcf0f3de95cdbaa3e8019978
|
[
"MIT"
] | null | null | null |
from ._types import *
from ._client import *
from ._wizard import *
| 17
| 22
| 0.735294
| 9
| 68
| 5.222222
| 0.555556
| 0.425532
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.176471
| 68
| 3
| 23
| 22.666667
| 0.839286
| 0
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| 0
| 0
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| 0
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| 1
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| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
34f5ab11c5d015dd5b936125bd8d51dfe8e384d3
| 6,562
|
py
|
Python
|
scenarios/twolink_epp/plot_epp_comparison.py
|
jwallnoefer/multisat_qrepeater_sim_archive
|
69b4c242fb760cf195871f38b3172d4dfd26c01a
|
[
"MIT"
] | null | null | null |
scenarios/twolink_epp/plot_epp_comparison.py
|
jwallnoefer/multisat_qrepeater_sim_archive
|
69b4c242fb760cf195871f38b3172d4dfd26c01a
|
[
"MIT"
] | null | null | null |
scenarios/twolink_epp/plot_epp_comparison.py
|
jwallnoefer/multisat_qrepeater_sim_archive
|
69b4c242fb760cf195871f38b3172d4dfd26c01a
|
[
"MIT"
] | null | null | null |
import os, sys; sys.path.insert(0, os.path.abspath("."))
import numpy as np
import matplotlib.pyplot as plt
# x_base = np.arange(1000, 401000, 1000) / 1000
# L_ATT = 22 * 10**3 / 1000 # attenuation length in km
# eta = np.exp(-x_base / L_ATT)
# y_repeaterless = 10 * np.log10(-np.log2(1 - eta))
# y_optimal = 10 * np.log10(np.sqrt(eta))
# y_realistic_repeaterless1 = 10 * np.log10(0.7 * eta / 2)
# y_realistic_repeaterless2 = 10 * np.log10(0.1 * eta / 2)
#
# result_path = os.path.join("results", "two_link_epp", "investigate")
#
# path_without = os.path.join(result_path, "without_epp")
# length_list_without = np.loadtxt(os.path.join(path_without, "length_list.txt")) / 1000
# skr_without = 10 * np.log10(np.loadtxt(os.path.join(path_without, "key_per_resource_list.txt"), dtype=np.complex).astype(np.float) / 2)
#
# path_with = os.path.join(result_path, "with_epp")
# length_list_with = np.loadtxt(os.path.join(path_with, "length_list.txt")) / 1000
# skr_with = 10 * np.log10(np.loadtxt(os.path.join(path_with, "key_per_resource_list.txt"), dtype=np.complex).astype(np.float) / 2)
#
#
# plt.plot(x_base, y_repeaterless, color="black")
# plt.plot(x_base, y_optimal, color="gray")
# plt.fill_between(x_base, y_repeaterless, y_optimal, facecolor="lightgray")
# plt.plot(x_base, y_realistic_repeaterless1, color="black", linestyle="dashed")
# plt.plot(x_base, y_realistic_repeaterless2, color="black", linestyle="dashed")
#
# plt.scatter(length_list_without, skr_without, label="without epp")
# plt.scatter(length_list_with, skr_with, label="with 1 epp-step")
# plt.xlim((0, 400))
# plt.ylim((-60, 0))
# plt.grid()
# plt.legend()
# plt.xlabel("L [km]")
# plt.ylabel("secret key rate per channel use [dB]")
# plt.title("EPP comparison with bad memories and no cutoff_time")
# plt.savefig(os.path.join(result_path, "epp_comparison.png"))
# plt.show()
#
# ex_without = np.loadtxt(os.path.join(path_without, "ex_list.txt"), dtype=np.complex)
# ex_with = np.loadtxt(os.path.join(path_with, "ex_list.txt"), dtype=np.complex)
# ez_without = np.loadtxt(os.path.join(path_without, "ez_list.txt"), dtype=np.complex)
# ez_with = np.loadtxt(os.path.join(path_with, "ez_list.txt"), dtype=np.complex)
# fidelity_without = np.loadtxt(os.path.join(path_without, "average_fidelities.txt"), dtype=np.complex)
# fidelity_with = np.loadtxt(os.path.join(path_with, "average_fidelities.txt"), dtype=np.complex)
# resources_without = np.loadtxt(os.path.join(path_without, "average_resources.txt"), dtype=np.complex)
# resources_with = np.loadtxt(os.path.join(path_with, "average_resources.txt"), dtype=np.complex)
#
# plt.plot(length_list_without, ex_without, label="ex_without")
# plt.plot(length_list_with, ex_with, label="ex_with")
# plt.plot(length_list_without, ez_without, label="ez_without")
# plt.plot(length_list_with, ez_with, label="ez_with")
# plt.grid()
# plt.legend()
# plt.show()
#
# plt.plot(length_list_without, fidelity_without, label="fidelity_without")
# plt.plot(length_list_with, fidelity_with, label="fidelity_with")
# plt.grid()
# plt.legend()
# plt.show()
#
# plt.plot(length_list_without, resources_without, label="resources_without")
# plt.plot(length_list_with, resources_with, label="resources_with")
# plt.grid()
# plt.legend()
# plt.yscale("log")
# plt.show()
#
# from libs.aux_functions import binary_entropy
# h = np.vectorize(binary_entropy, otypes=[np.float])
# should_without = 1 / resources_without * (1 - h(ex_without) - h(ez_without))
# should_with = 1 / resources_with * (1 - h(ex_with) - h(ez_with))
#
#
# plt.scatter(length_list_without, np.loadtxt(os.path.join(path_without, "key_per_resource_list.txt"), dtype=np.complex), label="without epp")
# plt.scatter(length_list_with, np.loadtxt(os.path.join(path_with, "key_per_resource_list.txt"), dtype=np.complex), label="with 1 epp-step")
# plt.plot(length_list_without, should_without)
# plt.plot(length_list_with, should_with)
# # plt.xlim((0, 400))
# # plt.ylim((-60, 0))
# plt.grid()
# plt.legend()
# plt.xlabel("L [km]")
# # plt.ylabel("secret key rate per channel use [dB]")
# plt.title("EPP comparison with bad memories and no cutoff_time")
# plt.show()
##################################
# plot dephasing time comparison
result_path = os.path.join("results", "two_link_epp", "investigate_t_dp")
path_without = os.path.join(result_path, "without_epp")
t_dp_list_without = np.loadtxt(os.path.join(path_without, "t_dp_list.txt"))
skr_without = 10 * np.log10(np.loadtxt(os.path.join(path_without, "key_per_resource_list.txt"), dtype=np.complex).astype(np.float) / 2)
path_with = os.path.join(result_path, "with_epp")
t_dp_list_with = np.loadtxt(os.path.join(path_with, "t_dp_list.txt"))
skr_with = 10 * np.log10(np.loadtxt(os.path.join(path_with, "key_per_resource_list.txt"), dtype=np.complex).astype(np.float) / 2)
plt.scatter(t_dp_list_without, skr_without, label="without epp")
plt.scatter(t_dp_list_with, skr_with, label="with 1 epp-step")
# plt.xlim((0, 400))
# plt.ylim((-60, 0))
plt.grid()
plt.legend()
plt.xlabel("dephasing time [s]")
plt.ylabel("secret key rate per channel use [dB]")
plt.title("EPP comparison with variable memories and no cutoff_time")
plt.savefig(os.path.join(result_path, "epp_comparison.png"))
plt.show()
ex_without = np.loadtxt(os.path.join(path_without, "ex_list.txt"), dtype=np.complex)
ex_with = np.loadtxt(os.path.join(path_with, "ex_list.txt"), dtype=np.complex)
ez_without = np.loadtxt(os.path.join(path_without, "ez_list.txt"), dtype=np.complex)
ez_with = np.loadtxt(os.path.join(path_with, "ez_list.txt"), dtype=np.complex)
fidelity_without = np.loadtxt(os.path.join(path_without, "average_fidelities.txt"), dtype=np.complex)
fidelity_with = np.loadtxt(os.path.join(path_with, "average_fidelities.txt"), dtype=np.complex)
resources_without = np.loadtxt(os.path.join(path_without, "average_resources.txt"), dtype=np.complex)
resources_with = np.loadtxt(os.path.join(path_with, "average_resources.txt"), dtype=np.complex)
plt.plot(t_dp_list_without, ex_without, label="ex_without")
plt.plot(t_dp_list_with, ex_with, label="ex_with")
plt.plot(t_dp_list_without, ez_without, label="ez_without")
plt.plot(t_dp_list_with, ez_with, label="ez_with")
plt.grid()
plt.legend()
plt.show()
plt.plot(t_dp_list_without, fidelity_without, label="fidelity_without")
plt.plot(t_dp_list_with, fidelity_with, label="fidelity_with")
plt.grid()
plt.legend()
plt.show()
plt.plot(t_dp_list_without, resources_without, label="resources_without")
plt.plot(t_dp_list_with, resources_with, label="resources_with")
plt.grid()
plt.legend()
plt.yscale("log")
plt.show()
| 44.945205
| 142
| 0.739866
| 1,078
| 6,562
| 4.268089
| 0.112245
| 0.045642
| 0.073897
| 0.084764
| 0.855901
| 0.812649
| 0.78722
| 0.784612
| 0.778961
| 0.635514
| 0
| 0.018676
| 0.086102
| 6,562
| 145
| 143
| 45.255172
| 0.748541
| 0.596464
| 0
| 0.266667
| 0
| 0
| 0.203094
| 0.053947
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.066667
| 0
| 0.066667
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
550af900aa3811b46dff075edaebba0da3fbe8c7
| 113
|
py
|
Python
|
labelshift/calibrate/__init__.py
|
labelshift/labelshift
|
d5d6a06ef435a7fca96be7bbef415e52fb5235b4
|
[
"BSD-3-Clause"
] | null | null | null |
labelshift/calibrate/__init__.py
|
labelshift/labelshift
|
d5d6a06ef435a7fca96be7bbef415e52fb5235b4
|
[
"BSD-3-Clause"
] | null | null | null |
labelshift/calibrate/__init__.py
|
labelshift/labelshift
|
d5d6a06ef435a7fca96be7bbef415e52fb5235b4
|
[
"BSD-3-Clause"
] | null | null | null |
"""Classifier calibration techniques.
https://arxiv.org/pdf/1902.06977.pdf
https://arxiv.org/abs/1706.04599
"""
| 18.833333
| 37
| 0.743363
| 16
| 113
| 5.25
| 0.75
| 0.238095
| 0.309524
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.169811
| 0.061947
| 113
| 5
| 38
| 22.6
| 0.622642
| 0.929204
| 0
| null | 0
| null | 0
| 0
| null | 0
| 0
| 0
| null | 1
| null | true
| 0
| 0
| null | null | null | 1
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 6
|
550bc387f9291dd0f1bd04bf878d4f3f2ea7e54e
| 284
|
py
|
Python
|
rlbox/testbed/__init__.py
|
ocraft/rl-sandbox
|
fba6571545cf040829998ba4cd9009a15ac1bbdd
|
[
"MIT"
] | 2
|
2019-03-23T17:52:39.000Z
|
2019-03-29T17:29:52.000Z
|
rlbox/testbed/__init__.py
|
ocraft/rl-sandbox
|
fba6571545cf040829998ba4cd9009a15ac1bbdd
|
[
"MIT"
] | null | null | null |
rlbox/testbed/__init__.py
|
ocraft/rl-sandbox
|
fba6571545cf040829998ba4cd9009a15ac1bbdd
|
[
"MIT"
] | 2
|
2020-05-19T21:32:52.000Z
|
2020-09-30T09:28:45.000Z
|
import rlbox.testbed.config
import rlbox.testbed.narmedbandit
import rlbox.testbed.car_rental
import rlbox.testbed.gambler
import rlbox.testbed.racetrack
import rlbox.testbed.windy_gridworld
import rlbox.testbed.nstep_sarsa
import rlbox.testbed.maze
import rlbox.testbed.mountain_car
| 28.4
| 36
| 0.873239
| 40
| 284
| 6.1
| 0.375
| 0.405738
| 0.663934
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.06338
| 284
| 9
| 37
| 31.555556
| 0.917293
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
9b8a85ece09bc3ac3e9e36a04ff1d7a46effbd0e
| 25
|
py
|
Python
|
anchor/__init__.py
|
ysenarath/anchor
|
63dc0cd7aabda4a15c4c9f4b63089a36c5b0b97b
|
[
"Apache-2.0"
] | 1
|
2021-11-14T16:01:48.000Z
|
2021-11-14T16:01:48.000Z
|
anchor/__init__.py
|
ysenarath/anchor
|
63dc0cd7aabda4a15c4c9f4b63089a36c5b0b97b
|
[
"Apache-2.0"
] | null | null | null |
anchor/__init__.py
|
ysenarath/anchor
|
63dc0cd7aabda4a15c4c9f4b63089a36c5b0b97b
|
[
"Apache-2.0"
] | null | null | null |
from .base import Anchor
| 12.5
| 24
| 0.8
| 4
| 25
| 5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.16
| 25
| 1
| 25
| 25
| 0.952381
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
32e9c5898e6d7d2237677e865f29c8f08d8000bc
| 75
|
py
|
Python
|
testing-legacy/testutils/__init__.py
|
gigabackup/gigantum-client
|
70fe6b39b87b1c56351f2b4c551b6f1693813e4f
|
[
"MIT"
] | 60
|
2018-09-26T15:46:00.000Z
|
2021-10-10T02:37:14.000Z
|
testing-legacy/testutils/__init__.py
|
gigabackup/gigantum-client
|
70fe6b39b87b1c56351f2b4c551b6f1693813e4f
|
[
"MIT"
] | 1,706
|
2018-09-26T16:11:22.000Z
|
2021-08-20T13:37:59.000Z
|
testing-legacy/testutils/__init__.py
|
griffinmilsap/gigantum-client
|
70fe6b39b87b1c56351f2b4c551b6f1693813e4f
|
[
"MIT"
] | 11
|
2019-03-14T13:23:51.000Z
|
2022-01-25T01:29:16.000Z
|
from .testutils import *
from .elements import *
from .actions import *
| 10.714286
| 24
| 0.72
| 9
| 75
| 6
| 0.555556
| 0.37037
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.2
| 75
| 6
| 25
| 12.5
| 0.9
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
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| 0
| 1
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
fd05a0b3853d1f25a50e6b67ef511d5da65dc071
| 37
|
py
|
Python
|
faq_module/__init__.py
|
alentoghostflame/StupidAlentoBot
|
c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba
|
[
"MIT"
] | 1
|
2021-12-12T02:50:20.000Z
|
2021-12-12T02:50:20.000Z
|
faq_module/__init__.py
|
alentoghostflame/StupidAlentoBot
|
c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba
|
[
"MIT"
] | 17
|
2020-02-07T23:40:36.000Z
|
2020-12-22T16:38:44.000Z
|
faq_module/__init__.py
|
alentoghostflame/StupidAlentoBot
|
c024bfb79a9ecb0d9fda5ddc4e361a0cb878baba
|
[
"MIT"
] | null | null | null |
from faq_module.faq import FAQModule
| 18.5
| 36
| 0.864865
| 6
| 37
| 5.166667
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.108108
| 37
| 1
| 37
| 37
| 0.939394
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
fd1e526370f04bdc8efd5bc7d229a074c8e00142
| 285
|
py
|
Python
|
measurement_stats/value/__init__.py
|
sernst/RefinedStatistics
|
3e310d265f17125b239f78cc35e42a3c3545d89b
|
[
"MIT"
] | null | null | null |
measurement_stats/value/__init__.py
|
sernst/RefinedStatistics
|
3e310d265f17125b239f78cc35e42a3c3545d89b
|
[
"MIT"
] | null | null | null |
measurement_stats/value/__init__.py
|
sernst/RefinedStatistics
|
3e310d265f17125b239f78cc35e42a3c3545d89b
|
[
"MIT"
] | 1
|
2017-05-21T16:45:22.000Z
|
2017-05-21T16:45:22.000Z
|
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
from measurement_stats.value.value_type import ValueUncertainty
from measurement_stats.value.value_ops import * # protected by __all__
| 35.625
| 70
| 0.877193
| 37
| 285
| 6.027027
| 0.486486
| 0.179372
| 0.286996
| 0.224215
| 0.269058
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.101754
| 285
| 7
| 71
| 40.714286
| 0.871094
| 0.070175
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0.166667
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
fd2ff7469ff56f5cfb9187e97e99360a96996a4e
| 47
|
py
|
Python
|
dante/vendor/pyparsing/__init__.py
|
sbg/dante
|
104543c3ccb5e762d3e9cd6e8fa04c5fa91e2227
|
[
"Apache-2.0"
] | 9
|
2017-11-03T15:53:01.000Z
|
2019-10-01T14:09:56.000Z
|
dante/vendor/pyparsing/__init__.py
|
sbg/dante
|
104543c3ccb5e762d3e9cd6e8fa04c5fa91e2227
|
[
"Apache-2.0"
] | 4
|
2019-10-01T12:53:58.000Z
|
2021-04-26T15:39:16.000Z
|
dante/vendor/pyparsing/__init__.py
|
sbg/dante
|
104543c3ccb5e762d3e9cd6e8fa04c5fa91e2227
|
[
"Apache-2.0"
] | 5
|
2017-11-03T15:50:40.000Z
|
2021-09-13T08:50:45.000Z
|
from dante.vendor.pyparsing.pyparsing import *
| 23.5
| 46
| 0.829787
| 6
| 47
| 6.5
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.085106
| 47
| 1
| 47
| 47
| 0.906977
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 1
| 0
| 1
| 0
| 1
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 6
|
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