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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
179f95f9e72c1e37abd3d8bfd907121a3e471e18 | 992 | py | Python | Gathered CTF writeups/ctf-7867/2020/osu-ctf-autumn/cookie_monster/1/alt/crack.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:00:41.000Z | 2022-03-27T06:00:41.000Z | Gathered CTF writeups/ctf-7867/2020/osu-ctf-autumn/cookie_monster/1/alt/crack.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | null | null | null | Gathered CTF writeups/ctf-7867/2020/osu-ctf-autumn/cookie_monster/1/alt/crack.py | mihaid-b/CyberSakura | f60e6b6bfd6898c69b84424b080090ae98f8076c | [
"MIT"
] | 1 | 2022-03-27T06:01:42.000Z | 2022-03-27T06:01:42.000Z | import base64
cookies = {}
u = 'xxxxxxx'
cookies['name'] = 'gLeo7iVSypsn/drBfy3RbNqzjyybmzeMf7kRLIBfjMOw5q6quh7obDIhswwefiJ/'
u = '我_xxxxxx'
cookies['name_to_role'] = 'PWcy62SAOrsP5g6T3NFrE30kGeiwGNdQMVb1PUmSSIuUUEeu2MALDRwSEM/HUPvE'
u = '我_administrators'
cookies['admins'] = 'PWcy62SAOrsP5g6T3NFrE7D7rtDFzVt3hvNeWiz0otGzyCGGy/RtajYLllJgyL40'
u = '我"zzzzzzzzzzzzzzz'
cookies['zzz'] = 'U2l/OSWmJxArnhzkfE7elbHB6v0jFqSd7KzxFzedWXras48sm5s3jH+5ESyAX4zDsOauqroe6GwyIbMMHn4ifw=='
u = '我": '
cookies['quote_colon'] = 'U2l/OSWmJxArnhzkfE7elVllHkQOfGWG7yCYJzrclBfas48sm5s3jH+5ESyAX4zDsOauqroe6GwyIbMMHn4ifw=='
u = '我" '
cookies['quote'] = 'U2l/OSWmJxArnhzkfE7elT4irMNU1cVFIEzx4Mm5Y9Tas48sm5s3jH+5ESyAX4zDsOauqroe6GwyIbMMHn4ifw=='
u = '我_} '
cookies['closing_bracket'] = 'PWcy62SAOrsP5g6T3NFrE3fvkbcAz1yplNd9r2En5wvas48sm5s3jH+5ESyAX4zDsOauqroe6GwyIbMMHn4ifw=='
for name, value in cookies:
cookies[name] = base64.b64decode(value)
print(cookies)
| 33.066667 | 119 | 0.777218 | 67 | 992 | 11.402985 | 0.522388 | 0.015707 | 0.129581 | 0.157068 | 0.117801 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101367 | 0.114919 | 992 | 29 | 120 | 34.206897 | 0.768793 | 0 | 0 | 0 | 0 | 0 | 0.705645 | 0.548387 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.052632 | 0.052632 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
bd598ca3cc77c6b222adcb1c0a2c33b8225e5f2a | 149 | py | Python | Hackerrank_Python/Hackerrank_Python_Editorial/List_comprehension_Editorial.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | 1 | 2021-09-09T10:28:49.000Z | 2021-09-09T10:28:49.000Z | Hackerrank_Python/Hackerrank_Python_Editorial/List_comprehension_Editorial.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | Hackerrank_Python/Hackerrank_Python_Editorial/List_comprehension_Editorial.py | theeksha101/problem_solving | 431c4ff224035bb98ad67ead963860329dd4c9ff | [
"MIT"
] | null | null | null | a, b, c, n = [int(input()) for _ in range(4)]
print([[x, y, z] for x in range(a + 1) for y in range(b + 1) for z in range(c + 1) if x + y + z != n])
| 49.666667 | 102 | 0.516779 | 37 | 149 | 2.054054 | 0.432432 | 0.368421 | 0.078947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036364 | 0.261745 | 149 | 2 | 103 | 74.5 | 0.654545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.5 | 0 | 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 | 0 | 0 | 0 | 1 | 0 | 4 |
bd5f8822e425787f82483b09e41f64e3bfdb96f1 | 250 | py | Python | repo2docker/contentproviders/__init__.py | yacchin1205/repo2docker | 6077c76ccb0da122d64af20ac99ec71a0334a246 | [
"BSD-3-Clause"
] | null | null | null | repo2docker/contentproviders/__init__.py | yacchin1205/repo2docker | 6077c76ccb0da122d64af20ac99ec71a0334a246 | [
"BSD-3-Clause"
] | null | null | null | repo2docker/contentproviders/__init__.py | yacchin1205/repo2docker | 6077c76ccb0da122d64af20ac99ec71a0334a246 | [
"BSD-3-Clause"
] | null | null | null | from .git import Git
from .base import Local
from .zenodo import Zenodo
from .figshare import Figshare
from .dataverse import Dataverse
from .hydroshare import Hydroshare
from .mercurial import Mercurial
from .rdm import RDM
from .weko3 import WEKO3
| 25 | 34 | 0.82 | 36 | 250 | 5.694444 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.009346 | 0.144 | 250 | 9 | 35 | 27.777778 | 0.948598 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
bda4fac70c385399c907c12f81d3e00da86e2aec | 60 | py | Python | src/ambit_stochastics/helpers/__init__.py | danleonte/Ambit_Stochastics | 02e10f7103db4f849b041c97b2e496732211bad6 | [
"MIT"
] | 2 | 2022-01-20T01:22:12.000Z | 2022-01-27T10:33:53.000Z | src/ambit_stochastics/helpers/__init__.py | danleonte/Ambit_Stochastics | 02e10f7103db4f849b041c97b2e496732211bad6 | [
"MIT"
] | null | null | null | src/ambit_stochastics/helpers/__init__.py | danleonte/Ambit_Stochastics | 02e10f7103db4f849b041c97b2e496732211bad6 | [
"MIT"
] | null | null | null | """Auxiliary functions for the Ambit Stochastics package.""" | 60 | 60 | 0.783333 | 7 | 60 | 6.714286 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 60 | 1 | 60 | 60 | 0.87037 | 0.9 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
da445de3bc0414cde1c5cd5fe1f79743dcc444cc | 189 | py | Python | mayan/apps/dashboards/dashboards.py | atitaya1412/Mayan-EDMS | bda9302ba4b743e7d829ad118b8b836221888172 | [
"Apache-2.0"
] | 343 | 2015-01-05T14:19:35.000Z | 2018-12-10T19:07:48.000Z | mayan/apps/dashboards/dashboards.py | atitaya1412/Mayan-EDMS | bda9302ba4b743e7d829ad118b8b836221888172 | [
"Apache-2.0"
] | 191 | 2015-01-03T00:48:19.000Z | 2018-11-30T09:10:25.000Z | mayan/apps/dashboards/dashboards.py | atitaya1412/Mayan-EDMS | bda9302ba4b743e7d829ad118b8b836221888172 | [
"Apache-2.0"
] | 257 | 2019-05-14T10:26:37.000Z | 2022-03-30T03:37:36.000Z | from django.utils.translation import ugettext_lazy as _
from .classes import Dashboard
dashboard_administrator = Dashboard(
name='administrator', label=_('Administrator dashboard')
)
| 23.625 | 60 | 0.798942 | 20 | 189 | 7.35 | 0.65 | 0.29932 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.121693 | 189 | 7 | 61 | 27 | 0.885542 | 0 | 0 | 0 | 0 | 0 | 0.190476 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 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 | 0 | 0 | 0 | 0 | 4 |
da45e0a6556a0ccda69c647a11868691f6445588 | 193 | py | Python | Sanctuary/Cogs/Utils/file_handling.py | LeoHartUK/Sanctuary | 8d1d2ddb3a18bcf62a0cecc47bf152f88c90d2b1 | [
"MIT"
] | null | null | null | Sanctuary/Cogs/Utils/file_handling.py | LeoHartUK/Sanctuary | 8d1d2ddb3a18bcf62a0cecc47bf152f88c90d2b1 | [
"MIT"
] | null | null | null | Sanctuary/Cogs/Utils/file_handling.py | LeoHartUK/Sanctuary | 8d1d2ddb3a18bcf62a0cecc47bf152f88c90d2b1 | [
"MIT"
] | 1 | 2018-10-01T12:44:24.000Z | 2018-10-01T12:44:24.000Z | def read_file(filename:str) -> str:
with open(filename) as a:
return a.read()
def write_file(filename:str, content:str) -> None:
with open(filename, 'w') as a:
a.write(content)
return
| 19.3 | 50 | 0.689119 | 32 | 193 | 4.09375 | 0.4375 | 0.183206 | 0.229008 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.160622 | 193 | 9 | 51 | 21.444444 | 0.808642 | 0 | 0 | 0 | 0 | 0 | 0.005181 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0 | 0 | 0.571429 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
da461444ba638011595133665a04d1266120dfea | 241 | py | Python | modules/__init__.py | igilitschenski/DeepBingham | c4f7cf47d251a7dafb5b465cb282ded844e96dcc | [
"MIT"
] | 21 | 2020-04-07T23:21:31.000Z | 2022-02-18T05:44:58.000Z | modules/__init__.py | igilitschenski/DeepBingham | c4f7cf47d251a7dafb5b465cb282ded844e96dcc | [
"MIT"
] | 3 | 2020-05-03T15:11:49.000Z | 2020-12-25T12:37:10.000Z | modules/__init__.py | igilitschenski/DeepBingham | c4f7cf47d251a7dafb5b465cb282ded844e96dcc | [
"MIT"
] | 6 | 2020-10-01T18:14:26.000Z | 2022-01-10T13:30:19.000Z | from .maad import maad_biternion, maad_bingham, maad_mse
from .bingham_loss import BinghamLoss
from .bingham_mixture_loss import BinghamMixtureLoss
from .mse import MSELoss
from .von_mises import VonMisesLoss
from .cosine import CosineLoss
| 34.428571 | 57 | 0.854772 | 33 | 241 | 6.030303 | 0.484848 | 0.110553 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.112033 | 241 | 6 | 58 | 40.166667 | 0.929907 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
da5080e38a8d652f457c3c93932cc4fdede50558 | 692 | py | Python | util_types/two_dim.py | yuga-n/ModelLearner | 3193efd5eb15172ba8231a34829942040fcb0fc5 | [
"MIT"
] | null | null | null | util_types/two_dim.py | yuga-n/ModelLearner | 3193efd5eb15172ba8231a34829942040fcb0fc5 | [
"MIT"
] | null | null | null | util_types/two_dim.py | yuga-n/ModelLearner | 3193efd5eb15172ba8231a34829942040fcb0fc5 | [
"MIT"
] | 1 | 2021-09-14T14:52:28.000Z | 2021-09-14T14:52:28.000Z | # -*- coding: utf-8 -*-
from typing import Union
from typing import Tuple
from typing import Callable
def build_square_type(base_type: type):
"""
任意の同じ型1変数か2組のタプルのアノテーションを作成する
:param base_type: 基本となる型
:return: アノテーションされる型
"""
return Union[base_type, Tuple[base_type, base_type]]
raw_cal = build_square_type(int)
def init_get_pair(base_type: type):
annotate_type = build_square_type(base_type)
def get_pair(value: annotate_type)->Tuple[base_type, base_type]:
return (value, value) if type(value) is base_type else value
return get_pair
def init_pair_type(base_type: type):
return build_square_type(base_type), init_get_pair(base_type)
| 23.066667 | 68 | 0.736994 | 101 | 692 | 4.732673 | 0.29703 | 0.217573 | 0.150628 | 0.119247 | 0.328452 | 0.104603 | 0 | 0 | 0 | 0 | 0 | 0.005245 | 0.17341 | 692 | 29 | 69 | 23.862069 | 0.83042 | 0.141619 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.307692 | false | 0 | 0.230769 | 0.153846 | 0.846154 | 0 | 0 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
da626df452e9449bc6775031d5c7e05f0a33baae | 154 | py | Python | chapter2/chapter2_type_hints_10.py | GoodMonsters/Building-Data-Science-Applications-with-FastAPI | d2218d225c5b93723ecf46c19619ed5d3f2473e6 | [
"MIT"
] | 107 | 2021-03-26T20:18:51.000Z | 2022-03-26T03:38:08.000Z | chapter2/chapter2_type_hints_10.py | GoodMonsters/Building-Data-Science-Applications-with-FastAPI | d2218d225c5b93723ecf46c19619ed5d3f2473e6 | [
"MIT"
] | 4 | 2021-06-09T08:48:21.000Z | 2021-12-27T09:04:43.000Z | chapter2/chapter2_type_hints_10.py | GoodMonsters/Building-Data-Science-Applications-with-FastAPI | d2218d225c5b93723ecf46c19619ed5d3f2473e6 | [
"MIT"
] | 58 | 2021-03-12T20:51:19.000Z | 2022-03-27T15:49:49.000Z | from typing import Any, cast
def f(x: Any) -> Any:
return x
a = f("a") # inferred type is "Any"
a = cast(str, f("a")) # forced type to be "str"
| 15.4 | 48 | 0.571429 | 29 | 154 | 3.034483 | 0.586207 | 0.045455 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25974 | 154 | 9 | 49 | 17.111111 | 0.77193 | 0.298701 | 0 | 0 | 0 | 0 | 0.019048 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0.2 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
da64038e443b2b81ab731f93cfd909d01c1100b4 | 168 | py | Python | wordpress/__init__.py | myles/python-wordpress | c2f63a1ff00afa7fc576ef36fc286b63e5aae9b6 | [
"MIT"
] | 36 | 2017-02-23T09:16:23.000Z | 2022-03-27T19:28:31.000Z | wordpress/__init__.py | myles/python-wordpress | c2f63a1ff00afa7fc576ef36fc286b63e5aae9b6 | [
"MIT"
] | 5 | 2017-01-26T13:41:57.000Z | 2018-11-16T00:13:32.000Z | wordpress/__init__.py | myles/python-wordpress | c2f63a1ff00afa7fc576ef36fc286b63e5aae9b6 | [
"MIT"
] | 8 | 2017-01-27T17:38:10.000Z | 2019-07-05T17:31:49.000Z | import logging
from logging import NullHandler
from .api import WordPress # NOQA F401
__all__ = ['WordPress']
logging.getLogger(__name__).addHandler(NullHandler())
| 18.666667 | 53 | 0.785714 | 19 | 168 | 6.526316 | 0.631579 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020408 | 0.125 | 168 | 8 | 54 | 21 | 0.823129 | 0.053571 | 0 | 0 | 0 | 0 | 0.057325 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
da83e3335e84727dc4051907666cefff5915d369 | 190 | py | Python | tests/_display/test__document.py | ynsnf/apysc | b10ffaf76ec6beb187477d0a744fca00e3efc3fb | [
"MIT"
] | 16 | 2021-04-16T02:01:29.000Z | 2022-01-01T08:53:49.000Z | tests/_display/test__document.py | ynsnf/apysc | b10ffaf76ec6beb187477d0a744fca00e3efc3fb | [
"MIT"
] | 613 | 2021-03-24T03:37:38.000Z | 2022-03-26T10:58:37.000Z | tests/_display/test__document.py | simon-ritchie/apyscript | c319f8ab2f1f5f7fad8d2a8b4fc06e7195476279 | [
"MIT"
] | 2 | 2021-06-20T07:32:58.000Z | 2021-12-26T08:22:11.000Z | import apysc as ap
from apysc._expression import var_names
class TestDocument:
def test___init__(self) -> None:
assert ap.document.variable_name == var_names.DOCUMENT
| 21.111111 | 63 | 0.721053 | 25 | 190 | 5.12 | 0.76 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.215789 | 190 | 8 | 64 | 23.75 | 0.85906 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
e51346d4dd2fa31ed4153450b5e95e2394505cf3 | 159 | py | Python | conditional_filtering.py | chitru/Data-Manipulation-and-Analysis-with-Pandas | dea528dbdb4049eca992141389b9e59dead7109e | [
"MIT"
] | null | null | null | conditional_filtering.py | chitru/Data-Manipulation-and-Analysis-with-Pandas | dea528dbdb4049eca992141389b9e59dead7109e | [
"MIT"
] | null | null | null | conditional_filtering.py | chitru/Data-Manipulation-and-Analysis-with-Pandas | dea528dbdb4049eca992141389b9e59dead7109e | [
"MIT"
] | null | null | null | import pandas as pd
df = pd.read_csv('intel.csv')
#print(df)
#my_open = df['Open'] > 40
#print(my_open)
#print(df[my_open])
print(df[df['Open'] <= 55.8 ]) | 13.25 | 30 | 0.628931 | 30 | 159 | 3.2 | 0.466667 | 0.21875 | 0.1875 | 0.270833 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.036765 | 0.144654 | 159 | 12 | 30 | 13.25 | 0.669118 | 0.415094 | 0 | 0 | 0 | 0 | 0.144444 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
e51db710d550f583dd9268af11dcf1783567b1a4 | 162 | py | Python | args_paser/hyunjoowhoon.py | HarryBaek/share_5GUAV_2020 | 7f2b7f4b39be4123ced7085dec11cc0c15895be1 | [
"Apache-2.0"
] | null | null | null | args_paser/hyunjoowhoon.py | HarryBaek/share_5GUAV_2020 | 7f2b7f4b39be4123ced7085dec11cc0c15895be1 | [
"Apache-2.0"
] | null | null | null | args_paser/hyunjoowhoon.py | HarryBaek/share_5GUAV_2020 | 7f2b7f4b39be4123ced7085dec11cc0c15895be1 | [
"Apache-2.0"
] | null | null | null | pass
# 3개의 값을 갖는다
# 여러분 마음
# -first 49 -second 30 -third 0
# 곱샘과 나눗샘 --> function 처리
# basic sentence 틀에서 벗어나지 말것
# exception 처리 --> 중간 중단 없음.
# 최종 결과는 print()
| 14.727273 | 31 | 0.635802 | 29 | 162 | 3.551724 | 0.965517 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04918 | 0.246914 | 162 | 10 | 32 | 16.2 | 0.795082 | 0.864198 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 |
e56e27743eaccc027371ffbd3cdabc65cd1617d0 | 181 | py | Python | template_profiler_panel/apps.py | tufedtm/django-debug-toolbar-template-profiler | 07f0797e681391f79faf451e75c3571531571fd7 | [
"BSD-2-Clause-FreeBSD"
] | 56 | 2015-01-09T22:55:05.000Z | 2022-02-17T22:09:15.000Z | template_profiler_panel/apps.py | tufedtm/django-debug-toolbar-template-profiler | 07f0797e681391f79faf451e75c3571531571fd7 | [
"BSD-2-Clause-FreeBSD"
] | 15 | 2015-07-06T17:55:32.000Z | 2022-02-22T22:16:02.000Z | template_profiler_panel/apps.py | tufedtm/django-debug-toolbar-template-profiler | 07f0797e681391f79faf451e75c3571531571fd7 | [
"BSD-2-Clause-FreeBSD"
] | 19 | 2015-07-03T08:52:30.000Z | 2022-03-09T15:08:48.000Z | from django.apps import AppConfig
class TemplateProfilerPanelAppConfig(AppConfig):
name = "template_profiler_panel"
verbose_name = "Debug Toolbar Template Profiler Panel"
| 25.857143 | 58 | 0.801105 | 19 | 181 | 7.473684 | 0.736842 | 0.225352 | 0.295775 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143646 | 181 | 6 | 59 | 30.166667 | 0.916129 | 0 | 0 | 0 | 0 | 0 | 0.331492 | 0.127072 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
e5afe066f6d99ded1d568c982f807e1a55d86be8 | 314 | py | Python | packages/gtk-doc.py | NobodyNada/bockbuild | 35bff25b50f67962bd47086a1b1ce64106dc01bd | [
"MIT"
] | 20 | 2015-01-27T04:56:21.000Z | 2020-07-26T09:43:01.000Z | packages/gtk-doc.py | NobodyNada/bockbuild | 35bff25b50f67962bd47086a1b1ce64106dc01bd | [
"MIT"
] | 72 | 2015-03-15T18:55:24.000Z | 2022-02-16T15:51:58.000Z | packages/gtk-doc.py | NobodyNada/bockbuild | 35bff25b50f67962bd47086a1b1ce64106dc01bd | [
"MIT"
] | 33 | 2015-01-22T13:10:33.000Z | 2022-03-31T21:07:46.000Z | GnomePackage('gtk-doc', version_major='1', version_minor='18', configure_flags=['--with-xml-catalog="%{staged_profile}/share/xml/catalog"'], sources=['http://ftp.gnome.org/pub/gnome/sources/%{name}/%{version}/%{name}-%{version}.tar.bz2'],
override_properties={'build_dependency': True}
)
| 78.5 | 238 | 0.665605 | 38 | 314 | 5.342105 | 0.789474 | 0.098522 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014286 | 0.10828 | 314 | 3 | 239 | 104.666667 | 0.710714 | 0 | 0 | 0 | 0 | 0.333333 | 0.528662 | 0.178344 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
e5bee7fb2a8e4ba2b4dc46dd410f805f8777c2a1 | 151 | py | Python | utils/load_yuhun_json.py | JiatLn/yhshow-be | c6a6a6f16b74e16e93257af6d3941d7cdcbfd78e | [
"MIT"
] | null | null | null | utils/load_yuhun_json.py | JiatLn/yhshow-be | c6a6a6f16b74e16e93257af6d3941d7cdcbfd78e | [
"MIT"
] | null | null | null | utils/load_yuhun_json.py | JiatLn/yhshow-be | c6a6a6f16b74e16e93257af6d3941d7cdcbfd78e | [
"MIT"
] | null | null | null | import json
def load_json_file(filename):
with open(filename, encoding='utf-8') as f:
json_file = json.load(f)
return json_file
| 16.777778 | 47 | 0.655629 | 23 | 151 | 4.130435 | 0.608696 | 0.252632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008772 | 0.245033 | 151 | 8 | 48 | 18.875 | 0.824561 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 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 | 0 | 0 | 1 | 0 | 0 | 4 |
e5dd7942f5b3eefd809d93f84c0affea71f8efcb | 239 | py | Python | tests/base_test.py | solidfire/solidfire-sdk-python | 49fe23e2e9383dcd75723d680ffd18a475dccea5 | [
"Apache-2.0"
] | 20 | 2016-02-18T16:43:09.000Z | 2020-12-12T06:26:44.000Z | tests/base_test.py | solidfire/solidfire-sdk-python | 49fe23e2e9383dcd75723d680ffd18a475dccea5 | [
"Apache-2.0"
] | 39 | 2016-02-18T16:37:21.000Z | 2021-10-04T21:22:22.000Z | tests/base_test.py | solidfire/solidfire-sdk-python | 49fe23e2e9383dcd75723d680ffd18a475dccea5 | [
"Apache-2.0"
] | 12 | 2016-03-18T17:15:27.000Z | 2020-10-02T17:45:14.000Z | #!/usr/bin/env python
"""Copyright (c) NetApp Inc. 2016."""
import unittest
from solidfire.factory import ElementFactory
class SolidFireBaseTest(unittest.TestCase):
cluster = "10.117.61.42"
user = "admin"
password = "admin"
| 19.916667 | 44 | 0.702929 | 29 | 239 | 5.793103 | 0.896552 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.065 | 0.16318 | 239 | 11 | 45 | 21.727273 | 0.775 | 0.217573 | 0 | 0 | 0 | 0 | 0.121547 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.166667 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 4 |
e5fd087135dbf8aa6c25f7728b4c9d04e6e56030 | 234 | py | Python | youtube_title_parse/fallback_title.py | DanB288/youtube_title_parse | 965b4a6a4d233ac20a6bbd974a26490d6306059c | [
"MIT"
] | 15 | 2018-10-28T09:30:18.000Z | 2022-02-08T11:40:15.000Z | youtube_title_parse/fallback_title.py | DanB288/youtube_title_parse | 965b4a6a4d233ac20a6bbd974a26490d6306059c | [
"MIT"
] | 12 | 2020-04-19T12:54:14.000Z | 2021-05-19T20:34:40.000Z | youtube_title_parse/fallback_title.py | DanB288/youtube_title_parse | 965b4a6a4d233ac20a6bbd974a26490d6306059c | [
"MIT"
] | 4 | 2020-05-24T17:18:07.000Z | 2021-11-12T20:50:42.000Z | # -*- coding: utf-8 -*-
"""
Fallback to given title when no title/artist detected
"""
def fallback_title(title):
"""
Fallback method
"""
def fallback_t(artist):
return [artist, title]
return fallback_t
| 14.625 | 53 | 0.611111 | 28 | 234 | 5 | 0.535714 | 0.157143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005747 | 0.25641 | 234 | 15 | 54 | 15.6 | 0.798851 | 0.393162 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.5 | false | 0 | 0 | 0.25 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
f9279a351c4791c860077ae22146986ede28be42 | 155 | py | Python | test_app/test_app/apps.py | vercer-cmt/django-query-preparer | 555dfd4d9293949b7f36f2c679e284753ba86301 | [
"MIT"
] | 6 | 2020-02-17T10:41:47.000Z | 2021-08-20T00:19:52.000Z | test_app/test_app/apps.py | vercer-cmt/django-query-preparer | 555dfd4d9293949b7f36f2c679e284753ba86301 | [
"MIT"
] | null | null | null | test_app/test_app/apps.py | vercer-cmt/django-query-preparer | 555dfd4d9293949b7f36f2c679e284753ba86301 | [
"MIT"
] | null | null | null | # Copyright (c) 2020, Vercer Ltd. Rights set out in LICENCE.txt
from django.apps import AppConfig
class TestAppConfig(AppConfig):
name = "test_app"
| 19.375 | 63 | 0.741935 | 22 | 155 | 5.181818 | 0.954545 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03125 | 0.174194 | 155 | 7 | 64 | 22.142857 | 0.859375 | 0.393548 | 0 | 0 | 0 | 0 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
0068fba9d41e53a799f126aa7360628dcf7f27fd | 94 | py | Python | frzout/__init__.py | j-f-paquet/frzout-duke2020 | b30e4a97e52cf6e573e3d2bfe0e9804169f89704 | [
"MIT"
] | 1 | 2018-05-31T18:15:26.000Z | 2018-05-31T18:15:26.000Z | frzout/__init__.py | j-f-paquet/frzout-duke2020 | b30e4a97e52cf6e573e3d2bfe0e9804169f89704 | [
"MIT"
] | 2 | 2019-03-22T18:58:29.000Z | 2021-03-01T03:54:13.000Z | frzout/__init__.py | j-f-paquet/frzout-duke2020 | b30e4a97e52cf6e573e3d2bfe0e9804169f89704 | [
"MIT"
] | 3 | 2019-05-03T19:23:34.000Z | 2020-10-02T19:42:41.000Z | # -*- coding: utf-8 -*-
from ._frzout import *
from .species import *
__version__ = '1.0.0'
| 13.428571 | 23 | 0.617021 | 13 | 94 | 4.076923 | 0.769231 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.052632 | 0.191489 | 94 | 6 | 24 | 15.666667 | 0.644737 | 0.223404 | 0 | 0 | 0 | 0 | 0.070423 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
00972c15d30ff5897425d4cf96b7b3b42924c247 | 112 | py | Python | terraform/lambda/public_lambda_0/src/index.py | davidjeddy/aws_terraform_lambda_vpc_endpoint | 1730baf4796079a07978e9bfab68ed9a5879ae69 | [
"RSA-MD"
] | 5 | 2020-04-02T05:49:20.000Z | 2020-12-31T13:10:48.000Z | terraform/lambda/public_lambda_0/src/index.py | davidjeddy/aws_terraform_lambda_vpc_endpoint | 1730baf4796079a07978e9bfab68ed9a5879ae69 | [
"RSA-MD"
] | null | null | null | terraform/lambda/public_lambda_0/src/index.py | davidjeddy/aws_terraform_lambda_vpc_endpoint | 1730baf4796079a07978e9bfab68ed9a5879ae69 | [
"RSA-MD"
] | null | null | null | def lambda_handler(event, context):
print('event:', event)
print('context:', context)
return True
| 16 | 35 | 0.651786 | 13 | 112 | 5.538462 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.205357 | 112 | 6 | 36 | 18.666667 | 0.808989 | 0 | 0 | 0 | 0 | 0 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.5 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
00a7fd0216e8a6874070712a06556425d9547cef | 64 | py | Python | pytranus/tranusio/__init__.py | tcapelle/pytranus | 8abcdeca85252071854611822bffc83c01ea5267 | [
"MIT"
] | 1 | 2021-12-06T12:14:14.000Z | 2021-12-06T12:14:14.000Z | pytranus/tranusio/__init__.py | tcapelle/pytranus | 8abcdeca85252071854611822bffc83c01ea5267 | [
"MIT"
] | null | null | null | pytranus/tranusio/__init__.py | tcapelle/pytranus | 8abcdeca85252071854611822bffc83c01ea5267 | [
"MIT"
] | 1 | 2021-07-15T16:44:09.000Z | 2021-07-15T16:44:09.000Z | from lcalparam import LcalParam
from lcalio import L1sParam, L1s | 32 | 32 | 0.859375 | 9 | 64 | 6.111111 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0.125 | 64 | 2 | 32 | 32 | 0.946429 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
00e69ff551e12f5db30e5e8b816aee5f83b74ffd | 2,648 | py | Python | tests/test_risk_profile.py | jdvelasq/smart-choice | 152b13ddae682622e61a1dfb5b0a920c632480ab | [
"MIT"
] | 1 | 2017-05-15T09:51:14.000Z | 2017-05-15T09:51:14.000Z | tests/test_risk_profile.py | jdvelasq/smart-choice | 152b13ddae682622e61a1dfb5b0a920c632480ab | [
"MIT"
] | null | null | null | tests/test_risk_profile.py | jdvelasq/smart-choice | 152b13ddae682622e61a1dfb5b0a920c632480ab | [
"MIT"
] | 1 | 2017-09-23T18:56:28.000Z | 2017-09-23T18:56:28.000Z | """
Risk profile
"""
from smart_choice.decisiontree import DecisionTree
from smart_choice.examples import oil_tree_example, stguide
from smart_choice.risk_profile import RiskProfile
from tests.capsys import check_capsys
def test_stguide_fig_5_8a(capsys):
"""Fig. 5.8 (a) --- Plot distribution"""
nodes = stguide()
tree = DecisionTree(nodes=nodes)
tree.evaluate()
tree.rollback()
risk_profile = RiskProfile(decisiontree=tree, idx=0, cumulative=False, single=True)
print(risk_profile)
check_capsys("./tests/files/stguide_fig_5_8a.txt", capsys)
def test_stguide_fig_5_8b(capsys):
"""Fig. 5.8 (b) --- Plot distribution"""
nodes = stguide()
tree = DecisionTree(nodes=nodes)
tree.evaluate()
tree.rollback()
risk_profile = RiskProfile(decisiontree=tree, idx=0, cumulative=True, single=True)
print(risk_profile)
check_capsys("./tests/files/stguide_fig_5_8b.txt", capsys)
def test_stguide_fig_5_8c(capsys):
"""Fig. 5.8 (c) --- Plot distribution"""
nodes = stguide()
tree = DecisionTree(nodes=nodes)
tree.evaluate()
tree.rollback()
risk_profile = RiskProfile(decisiontree=tree, idx=0, cumulative=False, single=False)
print(risk_profile)
check_capsys("./tests/files/stguide_fig_5_8c.txt", capsys)
def test_stguide_fig_5_10(capsys):
"""Fig. 5.10 --- Cumulative plot distribution"""
nodes = stguide()
tree = DecisionTree(nodes=nodes)
tree.evaluate()
tree.rollback()
risk_profile = RiskProfile(decisiontree=tree, idx=0, cumulative=True, single=False)
print(risk_profile)
check_capsys("./tests/files/stguide_fig_5_10.txt", capsys)
def test_stguide_fig_7_15(capsys):
"""Fig. 7.15 --- Plot distribution"""
nodes = stguide()
tree = DecisionTree(nodes=nodes)
tree.evaluate()
tree.rollback()
risk_profile = RiskProfile(decisiontree=tree, idx=23, cumulative=True, single=True)
print(risk_profile)
check_capsys("./tests/files/stguide_fig_7_15.txt", capsys)
def test_oilexample_pag_32(capsys):
"""Typical risk profile"""
nodes = oil_tree_example()
tree = DecisionTree(nodes=nodes)
tree.evaluate()
tree.rollback()
risk_profile = RiskProfile(decisiontree=tree, idx=0, cumulative=False, single=False)
print(risk_profile)
check_capsys("./tests/files/oilexample_pag_32.txt", capsys)
def test_oilexample_pag_33(capsys):
"""Typical risk profile"""
nodes = oil_tree_example()
tree = DecisionTree(nodes=nodes)
tree.evaluate()
tree.rollback()
tree.display(policy_suggestion=True)
check_capsys("./tests/files/oilexample_pag_33.txt", capsys)
| 29.098901 | 88 | 0.710725 | 343 | 2,648 | 5.265306 | 0.154519 | 0.097453 | 0.048726 | 0.100775 | 0.824474 | 0.824474 | 0.738649 | 0.693798 | 0.693798 | 0.693798 | 0 | 0.022932 | 0.160121 | 2,648 | 90 | 89 | 29.422222 | 0.789119 | 0.088369 | 0 | 0.610169 | 0 | 0 | 0.101266 | 0.101266 | 0 | 0 | 0 | 0 | 0 | 1 | 0.118644 | false | 0 | 0.067797 | 0 | 0.186441 | 0.101695 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
dab37c95293f3d96e3ceac8ee3059cb49418b50e | 105 | py | Python | testCombinWaveFiles.py | Anna1015/WorkAtTokyo | ed37b746c38c2f668feac20044fe4dec38336086 | [
"Apache-2.0"
] | 1 | 2020-05-07T16:01:34.000Z | 2020-05-07T16:01:34.000Z | testCombinWaveFiles.py | Anna1015/WorkAtTokyo | ed37b746c38c2f668feac20044fe4dec38336086 | [
"Apache-2.0"
] | null | null | null | testCombinWaveFiles.py | Anna1015/WorkAtTokyo | ed37b746c38c2f668feac20044fe4dec38336086 | [
"Apache-2.0"
] | 1 | 2020-03-23T05:00:53.000Z | 2020-03-23T05:00:53.000Z | from pydub import AudioSegment
import os
import wave
filePath = ''
files = os.listdir(filePath)
| 13.125 | 31 | 0.714286 | 13 | 105 | 5.769231 | 0.692308 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.219048 | 105 | 7 | 32 | 15 | 0.914634 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 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 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
dab37f5b13d8f4748284e2cc2fbc5541f9551790 | 110 | py | Python | Python_proficiency_test/latex/codes/4.py | ALFA-group/neural_program_comprehension | 0253911f376cf282af5a5627e38e0a591ad38860 | [
"MIT"
] | 6 | 2020-04-24T08:16:51.000Z | 2021-11-01T09:50:46.000Z | Python_proficiency_test/latex/codes/4.py | ALFA-group/neural_program_comprehension | 0253911f376cf282af5a5627e38e0a591ad38860 | [
"MIT"
] | null | null | null | Python_proficiency_test/latex/codes/4.py | ALFA-group/neural_program_comprehension | 0253911f376cf282af5a5627e38e0a591ad38860 | [
"MIT"
] | 4 | 2021-02-17T20:21:31.000Z | 2022-02-14T12:43:23.000Z | list1 = ['1','2','3']
list3 = list1
print(list1 is list3)
print(list1 == list3)
print(id(list1) == id(list3))
| 18.333333 | 29 | 0.627273 | 18 | 110 | 3.833333 | 0.444444 | 0.289855 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.126316 | 0.136364 | 110 | 5 | 30 | 22 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0.027273 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.6 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
dabe9f132e3425a0e3896cb73347f9de5f4cf2e3 | 27 | py | Python | sogs/__init__.py | Bilb/session-pysogs | eb6f13e26d16f0119e87b41ffb86813c3c177ab9 | [
"MIT"
] | 233 | 2016-04-03T11:12:51.000Z | 2022-02-20T06:08:16.000Z | sogs/__init__.py | Bilb/session-pysogs | eb6f13e26d16f0119e87b41ffb86813c3c177ab9 | [
"MIT"
] | 14 | 2019-12-12T20:21:19.000Z | 2022-01-07T17:48:10.000Z | sogs/__init__.py | Bilb/session-pysogs | eb6f13e26d16f0119e87b41ffb86813c3c177ab9 | [
"MIT"
] | 31 | 2017-04-06T00:48:25.000Z | 2022-02-15T08:16:37.000Z | __version__ = "0.3.0.dev0"
| 13.5 | 26 | 0.666667 | 5 | 27 | 2.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 0.111111 | 27 | 1 | 27 | 27 | 0.416667 | 0 | 0 | 0 | 0 | 0 | 0.37037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
dac48a2c914f9084b07f05254aa8e4a104522d99 | 32,391 | py | Python | modules/em-fceux/src/drivers/em/scripts/mesh2obj.py | webrcade/webrcade-app-fceux | 445e9496b74c9dd2eb37a7a904160dfe9da5068b | [
"Apache-2.0"
] | null | null | null | modules/em-fceux/src/drivers/em/scripts/mesh2obj.py | webrcade/webrcade-app-fceux | 445e9496b74c9dd2eb37a7a904160dfe9da5068b | [
"Apache-2.0"
] | null | null | null | modules/em-fceux/src/drivers/em/scripts/mesh2obj.py | webrcade/webrcade-app-fceux | 445e9496b74c9dd2eb37a7a904160dfe9da5068b | [
"Apache-2.0"
] | null | null | null | """
Simple script to output .obj file from raw source code mesh data.
This was needed because original .obj file was lost...
"""
# Mesh vertex data goes here:
screen_mesh = {
'v':
[-0.94531,-0.69442,-0.09204,-0.92179,-0.70385,-0.08774,-0.95354,-0.67555,-0.09366,-0.9504,-0.68597,-0.09303,-0.95584,-0.65062,-0.09413,-0.92179,-0.65072,-0.08774,-0.12211,-0.65072,-0.01034,-0.12211,-0.70385,-0.01034,-0.94531,0.69469,-0.09204,-0.95354,0.67581,-0.09366,-0.92179,0.70412,-0.08774,-0.93872,0.70008,-0.09079,-0.95584,0.65084,-0.09412,-0.92179,0.6509,-0.08774,-0.12211,0.70412,-0.01034,-0.12211,0.6509,-0.01034,-0.95584,-0.13004,-0.07819,-0.92179,-0.13007,-0.0718,-0.92179,0.13025,-0.0718,-0.95584,0.13026,-0.07819,-0.12211,0.13025,0.00559,-0.12211,-0.13007,0.00559,-0.66398,-0.70385,-0.05165,-0.66398,-0.65072,-0.05165,-0.36834,-0.70385,-0.02216,-0.36834,-0.65072,-0.02216,-0.66398,0.6509,-0.05165,-0.66398,0.70412,-0.05165,-0.36834,0.6509,-0.02216,-0.36834,0.70412,-0.02216,-0.66398,0.13025,-0.03571,-0.66398,-0.13007,-0.03571,-0.36834,0.13025,-0.00623,-0.36834,-0.13007,-0.00623,-0.95584,0.39055,-0.08483,-0.92179,0.39057,-0.07844,-0.92179,-0.3904,-0.07844,-0.95584,-0.39032,-0.08483,-0.12211,-0.3904,-0.00105,-0.12211,0.39057,-0.00105,-0.66398,-0.3904,-0.04235,-0.66398,0.39057,-0.04235,-0.36834,-0.3904,-0.01287,-0.36834,0.39057,-0.01287,-0.93872,-0.69981,-0.09079,-0.9504,0.68624,-0.09303,0.94531,-0.69442,-0.09204,0.92179,-0.70385,-0.08774,0.95354,-0.67555,-0.09366,0.9504,-0.68597,-0.09303,0.95584,-0.65062,-0.09413,0.92179,-0.65072,-0.08774,0.12211,-0.65072,-0.01034,0.12211,-0.70385,-0.01034,0.94531,0.69469,-0.09204,0.95354,0.67581,-0.09366,0.92179,0.70412,-0.08774,0.93872,0.70008,-0.09079,0.95584,0.65084,-0.09412,0.92179,0.6509,-0.08774,0.12211,0.70412,-0.01034,0.12211,0.6509,-0.01034,0.95584,-0.13004,-0.07819,0.92179,-0.13007,-0.0718,0.92179,0.13025,-0.0718,0.95584,0.13026,-0.07819,0.12211,0.13025,0.00559,0.12211,-0.13007,0.00559,0.66398,-0.70385,-0.05165,0.66398,-0.65072,-0.05165,0.36834,-0.70385,-0.02216,0.36834,-0.65072,-0.02216,0.66398,0.6509,-0.05165,0.66398,0.70412,-0.05165,0.36834,0.6509,-0.02216,0.36834,0.70412,-0.02216,0.66398,0.13025,-0.03571,0.66398,-0.13007,-0.03571,0.36834,0.13025,-0.00623,0.36834,-0.13007,-0.00623,0.95584,0.39055,-0.08483,0.92179,0.39057,-0.07844,0.92179,-0.3904,-0.07844,0.95584,-0.39032,-0.08483,0.12211,-0.3904,-0.00105,0.12211,0.39057,-0.00105,0.66398,-0.3904,-0.04235,0.66398,0.39057,-0.04235,0.36834,-0.3904,-0.01287,0.36834,0.39057,-0.01287,0.93872,-0.69981,-0.09079,0.9504,0.68624,-0.09303],
'vn':
[-0.17728,0.00775,0.9841,-0.15812,0.00174,0.9874,-0.1814,0.00244,0.9834,-0.18638,0.00293,0.98245,-0.184,-0.01779,0.98276,-0.16156,-0.01758,0.98669,-0.02396,-0.01782,0.99954,-0.02396,0,0.99969,-0.17728,-0.00775,0.9841,-0.18146,-0.00238,0.98337,-0.15812,-0.00171,0.9874,-0.17405,-0.01511,0.98462,-0.18394,0.01779,0.98276,-0.16153,0.01758,0.98669,-0.02396,0,0.99969,-0.02396,0.01782,0.99954,-0.18433,-0.01254,0.98276,-0.16147,-0.01257,0.98679,-0.16147,0.01257,0.98679,-0.1843,0.01254,0.98276,-0.02396,0.01273,0.9996,-0.02396,-0.01273,0.9996,-0.11896,0,0.99289,-0.11896,-0.0177,0.99274,-0.07361,0,0.99728,-0.07361,-0.01779,0.9971,-0.11896,0.0177,0.99274,-0.11896,0,0.99289,-0.07361,0.01779,0.9971,-0.07361,0,0.99728,-0.11893,0.01263,0.9928,-0.11893,-0.01263,0.9928,-0.07358,0.0127,0.99719,-0.07358,-0.0127,0.99719,-0.18427,0.03006,0.98239,-0.16144,0.03018,0.98639,-0.16147,-0.03018,0.98639,-0.1843,-0.03006,0.98239,-0.02396,-0.03058,0.99924,-0.02396,0.03058,0.99924,-0.1189,-0.03037,0.99243,-0.1189,0.03037,0.99243,-0.07358,-0.03049,0.9968,-0.07358,0.03049,0.9968,-0.17405,0.01511,0.98462,-0.18638,-0.00293,0.98245,0.17728,0.00775,0.9841,0.15812,0.00174,0.9874,0.1814,0.00244,0.9834,0.18638,0.00293,0.98245,0.184,-0.01779,0.98276,0.16156,-0.01758,0.98669,0.02396,-0.01782,0.99954,0.02396,0,0.99969,0.17728,-0.00775,0.9841,0.18146,-0.00238,0.98337,0.15812,-0.00171,0.9874,0.17405,-0.01511,0.98462,0.18394,0.01779,0.98276,0.16153,0.01758,0.98669,0.02396,0,0.99969,0.02396,0.01782,0.99954,0.18433,-0.01254,0.98276,0.16147,-0.01257,0.98679,0.16147,0.01257,0.98679,0.1843,0.01254,0.98276,0.02396,0.01273,0.9996,0.02396,-0.01273,0.9996,0.11896,0,0.99289,0.11896,-0.0177,0.99274,0.07361,0,0.99728,0.07361,-0.01779,0.9971,0.11896,0.0177,0.99274,0.11896,0,0.99289,0.07361,0.01779,0.9971,0.07361,0,0.99728,0.11893,0.01263,0.9928,0.11893,-0.01263,0.9928,0.07358,0.0127,0.99719,0.07358,-0.0127,0.99719,0.18427,0.03006,0.98239,0.16144,0.03018,0.98639,0.16147,-0.03018,0.98639,0.1843,-0.03006,0.98239,0.02396,-0.03058,0.99924,0.02396,0.03058,0.99924,0.1189,-0.03037,0.99243,0.1189,0.03037,0.99243,0.07358,-0.03049,0.9968,0.07358,0.03049,0.9968,0.17405,0.01511,0.98462,0.18638,-0.00293,0.98245],
'vt':
[0.03776,0.017,0.04923,0.01044,0.03374,0.03012,0.03527,0.02287,0.03262,0.04746,0.04923,0.04739,0.43941,0.04739,0.43941,0.01044,0.03776,0.983,0.03374,0.96988,0.04923,0.98956,0.04097,0.98675,0.03262,0.95251,0.04923,0.95255,0.43941,0.98956,0.43941,0.95255,0.03262,0.40948,0.04923,0.40945,0.04923,0.59048,0.03262,0.59049,0.43941,0.59048,0.43941,0.40945,0.17502,0.01044,0.17502,0.04739,0.31926,0.01044,0.31926,0.04739,0.17502,0.95255,0.17502,0.98956,0.31926,0.95255,0.31926,0.98956,0.17502,0.59048,0.17502,0.40945,0.31926,0.59048,0.31926,0.40945,0.03262,0.7715,0.04923,0.77152,0.04923,0.22842,0.03262,0.22847,0.43941,0.22842,0.43941,0.77152,0.17502,0.22842,0.17502,0.77152,0.31926,0.22842,0.31926,0.77152,0.04097,0.01325,0.03527,0.97713,0.96178,0.017,0.95031,0.01044,0.9658,0.03012,0.96427,0.02287,0.96692,0.04746,0.95031,0.04739,0.56013,0.04739,0.56013,0.01044,0.96178,0.983,0.9658,0.96988,0.95031,0.98956,0.95857,0.98675,0.96692,0.95251,0.95031,0.95255,0.56013,0.98956,0.56013,0.95255,0.96692,0.40948,0.95031,0.40945,0.95031,0.59048,0.96692,0.59049,0.56013,0.59048,0.56013,0.40945,0.82452,0.01044,0.82452,0.04739,0.68028,0.01044,0.68028,0.04739,0.82452,0.95255,0.82452,0.98956,0.68028,0.95255,0.68028,0.98956,0.82452,0.59048,0.82452,0.40945,0.68028,0.59048,0.68028,0.40945,0.96692,0.7715,0.95031,0.77152,0.95031,0.22842,0.96692,0.22847,0.56013,0.22842,0.56013,0.77152,0.82452,0.22842,0.82452,0.77152,0.68028,0.22842,0.68028,0.77152,0.04097,0.01325,0.03527,0.97713],
'f':
[0,1,2,4,2,1,8,9,10,12,13,10,17,18,19,23,5,1,25,23,22,6,25,24,27,10,13,29,27,26,14,29,28,18,17,31,30,31,33,32,33,21,35,13,12,18,35,34,36,37,4,17,16,37,40,36,5,31,17,36,41,26,13,30,41,35,42,40,23,33,31,40,43,28,26,32,43,41,38,42,25,21,33,42,39,15,28,20,39,43,0,44,1,8,45,9,38,52,84,46,49,48,50,51,47,54,57,56,58,55,56,65,64,63,47,51,69,68,69,71,70,71,52,59,56,73,72,73,75,74,75,60,77,63,64,79,77,76,66,67,79,58,59,81,80,81,64,82,51,50,63,82,83,86,69,51,77,86,82,59,72,87,81,87,76,88,71,69,79,88,86,72,74,89,87,89,78,84,52,71,67,84,88,74,61,85,89,85,66,46,47,90,54,55,91,3,0,2,5,4,1,11,8,10,9,12,10,16,17,19,66,85,20,24,25,22,66,20,21,22,23,1,7,6,24,26,27,13,28,29,26,15,14,28,30,18,31,32,30,33,20,32,21,34,35,12,19,18,34,5,36,4,36,17,37,40,31,36,23,40,5,35,41,13,18,30,35,25,42,23,42,33,40,41,43,26,30,32,41,6,38,25,38,21,42,43,39,28,32,20,43,38,6,52,61,15,39,21,84,67,61,39,85,85,39,20,14,15,61,47,46,48,48,50,47,67,66,21,55,54,56,59,58,56,62,65,63,68,47,69,70,68,71,53,70,52,72,59,73,74,72,75,61,74,60,76,77,64,78,79,76,78,66,79,80,58,81,65,80,64,83,82,50,62,63,83,82,86,51,63,77,82,81,59,87,64,81,76,86,88,69,77,79,86,87,72,89,76,87,78,88,84,71,79,67,88,89,74,85,78,89,66,52,6,7,52,7,53,21,38,84,14,61,60]
}
# Second mesh without uvs:
rim_mesh = {
'v':
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[13,9,8,15,13,12,3,15,14,18,19,2,21,19,18,6,21,20,0,24,25,16,25,26,17,26,27,23,11,28,22,23,29,10,22,30,24,32,33,34,35,29,35,36,30,36,37,31,25,33,38,26,38,39,32,40,42,40,41,43,41,2,19,211,91,47,46,48,35,47,49,48,4,14,49,48,50,36,49,51,50,14,12,51,50,44,37,51,45,44,12,8,45,33,42,52,42,43,53,43,19,21,38,52,54,52,53,55,53,21,6,66,65,64,68,66,63,70,68,67,71,72,70,73,74,72,76,75,74,80,79,78,82,80,77,83,84,82,85,86,84,87,88,86,106,105,231,79,96,95,105,104,230,95,96,111,110,111,113,112,113,90,116,75,76,116,117,119,118,119,93,125,124,62,126,125,60,127,126,61,129,127,58,130,129,128,131,130,59,132,131,114,133,132,115,121,135,134,120,136,135,99,137,136,100,138,137,97,139,138,140,141,139,98,142,141,101,143,142,144,143,101,145,144,122,146,145,109,123,147,146,62,124,147,124,125,149,125,126,150,126,127,151,127,129,152,130,153,152,137,138,155,139,156,155,141,157,156,142,158,157,143,159,158,130,131,161,143,144,163,135,165,164,136,166,165,137,167,166,131,132,168,132,133,169,144,145,170,145,146,171,147,172,171,124,173,172,148,149,175,174,175,177,176,177,63,149,150,178,175,178,179,177,179,67,150,151,180,178,180,181,179,181,69,151,152,182,180,182,183,181,183,71,153,184,182,182,184,185,183,185,73,153,160,186,184,186,187,185,187,76,154,155,189,189,191,190,191,77,78,156,192,189,192,193,191,193,81,77,157,194,192,194,195,193,195,83,81,158,196,194,196,197,195,197,85,83,159,198,196,198,199,197,199,87,85,162,200,198,200,201,199,201,89,87,160,161,202,186,202,203,187,203,117,154,188,204,188,190,205,190,78,95,162,163,206,200,206,207,201,207,106,173,148,174,208,174,176,209,176,64,165,212,210,212,213,211,213,112,91,166,214,212,214,215,213,215,110,112,167,204,214,204,205,215,205,95,110,161,168,216,202,216,217,203,217,119,168,169,218,216,218,219,217,219,93,163,170,220,206,220,221,207,221,105,170,171,222,220,222,223,221,223,104,172,224,222,224,225,223,225,103,104,173,208,224,208,209,225,209,102,103,130,160,153,143,162,159,137,154,167,124,148,173,28,107,134,3,4,91,12,13,8,14,15,12,4,3,14,1,18,2,20,21,18,7,6,20,16,0,25,17,16,26,5,17,27,29,23,28,30,22,29,31,10,30,25,24,33,28,34,29,29,35,30,30,36,31,26,25,38,27,26,39,33,32,42,42,40,43,43,41,19,210,211,46,164,210,34,211,47,46,34,46,35,46,47,48,47,4,49,35,48,36,48,49,50,49,14,51,36,50,37,50,51,44,51,12,45,38,33,52,52,42,53,53,43,21,39,38,54,54,52,55,55,53,6,313,233,314,319,235,310,312,232,313,93,6,7,210,46,34,54,218,39,218,169,39,6,93,55,55,219,54,219,218,54,93,219,55,28,11,107,39,169,27,93,7,94,63,66,64,67,68,63,169,133,27,69,70,67,69,71,70,71,73,72,73,76,74,77,80,78,81,82,77,81,83,82,83,85,84,85,87,86,87,89,88,78,79,95,64,65,102,110,95,111,112,110,113,91,112,90,117,116,76,118,116,119,94,118,93,60,125,62,61,126,60,58,127,61,128,129,58,59,130,128,114,131,59,115,132,114,92,133,115,107,121,134,121,120,135,120,99,136,99,100,137,100,97,138,97,140,139,140,98,141,98,101,142,122,144,101,109,145,122,108,146,109,108,123,146,123,62,147,148,124,149,149,125,150,150,126,151,151,127,152,129,130,152,154,137,155,138,139,155,139,141,156,141,142,157,142,143,158,160,130,161,162,143,163,134,135,164,135,136,165,136,137,166,161,131,168,168,132,169,163,144,170,170,145,171,146,147,171,147,124,172,174,148,175,176,174,177,64,176,63,175,149,178,177,175,179,63,177,67,178,150,180,179,178,181,67,179,69,180,151,182,181,180,183,69,181,71,152,153,182,183,182,185,71,183,73,184,153,186,185,184,187,73,185,76,188,154,189,188,189,190,190,191,78,155,156,189,189,192,191,191,193,77,156,157,192,192,194,193,193,195,81,157,158,194,194,196,195,195,197,83,158,159,196,196,198,197,197,199,85,159,162,198,198,200,199,199,201,87,186,160,202,187,186,203,76,187,117,167,154,204,204,188,205,205,190,95,200,162,206,201,200,207,89,201,106,208,173,174,209,208,176,102,209,64,164,165,210,210,212,211,211,213,91,165,166,212,212,214,213,213,215,112,166,167,214,214,204,215,215,205,110,202,161,216,203,202,217,117,203,119,216,168,218,217,216,219,119,217,93,206,163,220,207,206,221,106,207,105,220,170,222,221,220,223,105,221,104,171,172,222,222,224,223,223,225,104,172,173,224,224,208,225,225,209,103,91,4,47,3,91,90,164,34,28,134,164,28,104,229,230,105,230,231,103,228,229,106,231,226,102,227,228,89,226,88,65,227,102,104,103,229,89,106,226,103,102,228,92,27,133,92,5,27,341,314,234,319,320,235,314,233,234,310,235,56,313,232,233,311,56,57,312,57,232,236,313,242,237,236,243,273,237,272,238,312,236,239,238,237,274,239,273,311,312,240,240,238,241,241,239,275,310,311,244,244,240,245,245,241,276,314,342,242,242,269,243,243,271,272,319,310,246,246,244,247,247,245,277,248,321,246,249,248,247,278,249,277,250,323,248,251,250,249,279,251,278,252,325,250,253,252,251,280,253,279,254,327,252,255,254,253,281,255,280,256,331,254,258,256,255,282,258,281,257,330,256,259,257,258,259,258,283,335,333,262,262,260,263,285,263,284,337,335,264,264,262,265,265,263,286,339,337,266,266,264,267,267,265,287,343,339,268,268,266,270,270,267,288,342,343,269,269,268,271,271,270,289,290,273,305,291,274,290,275,274,292,276,275,293,277,276,294,295,279,294,296,280,295,298,281,296,299,282,298,286,285,302,287,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}
def writeSplits(type, spl):
lines = [type + ' ' + ' '.join(v) + '\n' for v in spl]
f.writelines(lines)
#for v in spl:
# print(type + ' ' + ' '.join(v))
def split(a, n):
return [a[i:i+n] for i in range(0, len(a), n)]
def writeVertices(type, n, a):
a = [str(f) for f in a]
writeSplits(type, split(a, n))
def writeFaces(a, has_vt, has_vn):
def fmerge(f):
f = str(f+1)
if has_vt and has_vn:
return f+'/'+f+'/'+f
elif has_vt:
return f+'/'+f
elif has_vn:
return f+'//'+f
else:
return f
a = [fmerge(f) for f in a]
writeSplits('f', split(a, 3))
def writeMesh(mesh):
for type, a in mesh.iteritems():
vertex_ns = { 'v': 3, 'vn': 3, 'vt': 2 }
if type in vertex_ns:
writeVertices(type, vertex_ns[type], a)
elif type == 'f':
writeFaces(a, 'vt' in mesh, 'vn' in mesh)
def mesh2Obj(fn, mesh):
global f
f = open(fn, 'w')
f.write('g all\ns 1\n')
writeMesh(mesh)
f.close()
def weld(v1, v2, thresh):
for i in range(0, len(v1), 3):
r2min = thresh
jmin = -1
for j in range(0, len(v2), 3):
d = [v2[j+k] - v1[i+k] for k in range(3)]
r2 = sum(v*v for v in d)
if r2 < thresh and r2 < r2min:
r2min = r2
jmin = j
if jmin != -1:
for k in range(3):
avg = (v1[i+k] + v2[jmin+k]) / 2.0
v1[i+k] = v2[jmin+k] = avg
weld(screen_mesh['v'], rim_mesh['v'], 0.001)
mesh2Obj('screen.obj', screen_mesh)
mesh2Obj('rim.obj', rim_mesh)
| 368.079545 | 8,760 | 0.70109 | 8,048 | 32,391 | 2.819831 | 0.143017 | 0.008196 | 0.011721 | 0.002291 | 0.668503 | 0.65872 | 0.634661 | 0.435534 | 0.432273 | 0.372962 | 0 | 0.68243 | 0.014232 | 32,391 | 87 | 8,761 | 372.310345 | 0.028312 | 0.006792 | 0 | 0.086957 | 0 | 0 | 0.001928 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.115942 | false | 0 | 0 | 0.014493 | 0.188406 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
dadf47e94a6afd9150ffd8052f7e4e422e4ed775 | 187 | py | Python | tutorials/unittests/python/tests/test_factorial.py | sherryspain/UCSC-Software-Testing | 507a0857ac52283a2ce6ed612a80e7a6fd611649 | [
"MIT"
] | null | null | null | tutorials/unittests/python/tests/test_factorial.py | sherryspain/UCSC-Software-Testing | 507a0857ac52283a2ce6ed612a80e7a6fd611649 | [
"MIT"
] | null | null | null | tutorials/unittests/python/tests/test_factorial.py | sherryspain/UCSC-Software-Testing | 507a0857ac52283a2ce6ed612a80e7a6fd611649 | [
"MIT"
] | null | null | null | import unittest
from python.src import get_factorial
class test_factorial(unittest.TestCase):
def test_factorial_returns_24(self):
self.assertEqual(24, get_factorial.factorial(4))
| 23.375 | 50 | 0.818182 | 26 | 187 | 5.653846 | 0.615385 | 0.163265 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.029762 | 0.101604 | 187 | 7 | 51 | 26.714286 | 0.845238 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
dafef9f351903c4d03be4046f4e50575d890bdc8 | 115 | py | Python | packages/@aws-cdk/lambda-layer-awscli/test/lambda-handler/index.py | danwiltshire/aws-cdk | 199bd32358a28e194f973bf088cc33f41ddfb567 | [
"Apache-2.0"
] | 2,484 | 2018-07-31T15:31:14.000Z | 2019-07-11T16:09:50.000Z | packages/@aws-cdk/lambda-layer-awscli/test/lambda-handler/index.py | danwiltshire/aws-cdk | 199bd32358a28e194f973bf088cc33f41ddfb567 | [
"Apache-2.0"
] | 2,206 | 2018-07-31T14:18:29.000Z | 2019-07-11T15:29:30.000Z | packages/@aws-cdk/lambda-layer-awscli/test/lambda-handler/index.py | Nexuscompute/aws-cdk | f4f6e40aa0e56ba55761a56bee542e756046cda6 | [
"Apache-2.0"
] | 401 | 2018-07-31T16:03:17.000Z | 2019-07-11T16:40:42.000Z | import subprocess
def handler(event, context):
subprocess.check_call(["/opt/awscli/aws", "--version"])
return
| 19.166667 | 57 | 0.721739 | 14 | 115 | 5.857143 | 0.928571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.113043 | 115 | 5 | 58 | 23 | 0.803922 | 0 | 0 | 0 | 0 | 0 | 0.208696 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
9752555b18494dfa5415dba155757ea42e5d47ff | 351 | py | Python | app/model/user.py | deadheadtn/POC_storytel | f81345cbcf4fc03571122170910247c92897d36f | [
"MIT"
] | null | null | null | app/model/user.py | deadheadtn/POC_storytel | f81345cbcf4fc03571122170910247c92897d36f | [
"MIT"
] | null | null | null | app/model/user.py | deadheadtn/POC_storytel | f81345cbcf4fc03571122170910247c92897d36f | [
"MIT"
] | null | null | null | from app import db
class Users(db.Model):
id = db.Column(db.Integer, primary_key=True)
public_id =db.Column(db.String(50))
name = db.Column(db.String(50))
password = db.Column(db.String(50))
admin = db.Column(db.Boolean)
@classmethod
def find_by_username(cls, user):
return cls.query.filter_by(name = user).first()
| 27 | 53 | 0.672365 | 55 | 351 | 4.2 | 0.563636 | 0.17316 | 0.21645 | 0.207792 | 0.233766 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020979 | 0.185185 | 351 | 12 | 54 | 29.25 | 0.786713 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0.1 | 0.1 | 0.1 | 0.9 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
976aa90d2306c9f3460308f32d07c445c449645b | 243 | py | Python | students/K33402/Kondrashov_Egor/LR2/commerce/auctions/admin.py | emina13/ITMO_ICT_WebDevelopment_2021-2022 | 498a6138e352e7e0ca40d1eb301bc29416158f51 | [
"MIT"
] | 7 | 2021-09-02T08:20:58.000Z | 2022-01-12T11:48:07.000Z | students/K33402/Kondrashov_Egor/LR2/commerce/auctions/admin.py | emina13/ITMO_ICT_WebDevelopment_2021-2022 | 498a6138e352e7e0ca40d1eb301bc29416158f51 | [
"MIT"
] | 76 | 2021-09-17T23:01:50.000Z | 2022-03-18T16:42:03.000Z | students/K33402/Kondrashov_Egor/LR2/commerce/auctions/admin.py | emina13/ITMO_ICT_WebDevelopment_2021-2022 | 498a6138e352e7e0ca40d1eb301bc29416158f51 | [
"MIT"
] | 60 | 2021-09-04T16:47:39.000Z | 2022-03-21T04:41:27.000Z | from django.contrib import admin
from .models import *
# Register your models here.
admin.site.register(Listing)
admin.site.register(ListingComment)
admin.site.register(Bid)
admin.site.register(WatchList)
admin.site.register(ListingCategory)
| 24.3 | 36 | 0.81893 | 32 | 243 | 6.21875 | 0.46875 | 0.226131 | 0.427136 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.078189 | 243 | 9 | 37 | 27 | 0.888393 | 0.106996 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.285714 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
976b08f303dbf852132283558069f0e5e7a72a03 | 290 | py | Python | tests/test_utils.py | RobertoRoos/pyads | fd1c36198a31711bc7611e0ef1e2ac725f020468 | [
"MIT"
] | 138 | 2017-12-12T11:19:05.000Z | 2022-03-13T10:49:36.000Z | tests/test_utils.py | RobertoRoos/pyads | fd1c36198a31711bc7611e0ef1e2ac725f020468 | [
"MIT"
] | 258 | 2018-01-09T17:07:18.000Z | 2022-03-28T21:02:02.000Z | tests/test_utils.py | RobertoRoos/pyads | fd1c36198a31711bc7611e0ef1e2ac725f020468 | [
"MIT"
] | 68 | 2017-12-13T19:53:40.000Z | 2022-03-28T01:07:17.000Z | from unittest import TestCase
from pyads.utils import deprecated
class UtilsTestCase(TestCase):
def test_deprecated_decorator(self):
@deprecated()
def deprecated_fct():
pass
with self.assertWarns(DeprecationWarning):
deprecated_fct()
| 20.714286 | 50 | 0.675862 | 28 | 290 | 6.857143 | 0.642857 | 0.135417 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.258621 | 290 | 13 | 51 | 22.307692 | 0.893023 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 1 | 0.222222 | false | 0.111111 | 0.222222 | 0 | 0.555556 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 |
9787043c65e285ee2a0e3b68e09869d2ef67e982 | 24 | py | Python | owslib/__init__.py | bradh/OWSLib | 38282ae839db47eab02e7fbcbce3199f4dfeea7b | [
"BSD-3-Clause"
] | 1 | 2015-03-16T05:22:04.000Z | 2015-03-16T05:22:04.000Z | owslib/__init__.py | bradh/OWSLib | 38282ae839db47eab02e7fbcbce3199f4dfeea7b | [
"BSD-3-Clause"
] | null | null | null | owslib/__init__.py | bradh/OWSLib | 38282ae839db47eab02e7fbcbce3199f4dfeea7b | [
"BSD-3-Clause"
] | 1 | 2021-04-10T21:23:49.000Z | 2021-04-10T21:23:49.000Z | __version__ = '0.8-dev'
| 12 | 23 | 0.666667 | 4 | 24 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 0.125 | 24 | 1 | 24 | 24 | 0.47619 | 0 | 0 | 0 | 0 | 0 | 0.291667 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
979d8ab06362a85004234b1f95a650f1156a7072 | 134 | py | Python | Post/api/pagination.py | mrvafa/blog-api | cef0773b3199bfb785126ce82567fd7fc78e6c89 | [
"MIT"
] | null | null | null | Post/api/pagination.py | mrvafa/blog-api | cef0773b3199bfb785126ce82567fd7fc78e6c89 | [
"MIT"
] | null | null | null | Post/api/pagination.py | mrvafa/blog-api | cef0773b3199bfb785126ce82567fd7fc78e6c89 | [
"MIT"
] | null | null | null | from rest_framework.pagination import PageNumberPagination
class PostPageNumberPagination(PageNumberPagination):
page_size = 10
| 22.333333 | 58 | 0.850746 | 12 | 134 | 9.333333 | 0.916667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016807 | 0.11194 | 134 | 5 | 59 | 26.8 | 0.92437 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
97a9d169b780a01808ab19d667046e5731670041 | 2,706 | py | Python | common/tests/test_numpy_fast.py | jamcar23/openpilot | 8a609b73710f723686c1a944770c5b19f209a0ca | [
"MIT"
] | 5 | 2020-12-23T01:49:04.000Z | 2021-08-28T23:42:52.000Z | common/tests/test_numpy_fast.py | jamcar23/openpilot | 8a609b73710f723686c1a944770c5b19f209a0ca | [
"MIT"
] | 60 | 2020-09-03T15:23:38.000Z | 2021-12-17T12:39:50.000Z | common/tests/test_numpy_fast.py | jamcar23/openpilot | 8a609b73710f723686c1a944770c5b19f209a0ca | [
"MIT"
] | 2 | 2020-12-07T20:04:19.000Z | 2022-03-05T08:00:03.000Z | import numpy as np
import unittest
from common.numpy_fast import interp
class InterpTest(unittest.TestCase):
def test_correctness_controls(self):
_A_CRUISE_MIN_BP = np.asarray([0., 5., 10., 20., 40.])
_A_CRUISE_MIN_V = np.asarray([-1.0, -.8, -.67, -.5, -.30])
v_ego_arr = [-1, -1e-12, 0, 4, 5, 6, 7, 10, 11, 15.2, 20, 21, 39,
39.999999, 40, 41]
expected = np.interp(v_ego_arr, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
actual = interp(v_ego_arr, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
np.testing.assert_equal(actual, expected)
for v_ego in v_ego_arr:
expected = np.interp(v_ego, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
actual = interp(v_ego, _A_CRUISE_MIN_BP, _A_CRUISE_MIN_V)
np.testing.assert_equal(actual, expected)
def test_short_bp_long_v(self):
bp_test_cases = ([0], [0, 5], [0., 5., 10.], [0., 5., 10., 20], [-1., 2., 13., 16])
bp_expected_cases = ([0, 0, 0, 0, 0], [0, 5, 5, 5, 5], [0., 5., 10., 10., 10.], [0., 5., 10., 20., 20.], [-1., 2., 13., 16, 16.])
_A_CRUISE_MIN_V = np.asarray([-1.0, -.8, -.67, -.5, -.30])
v_ego_arr = [-1, -1e-12, 0, 4, 5, 6, 7, 10, 11, 15.2, 20, 21, 39,
39.999999, 40, 41]
for bp_a, bp_e in zip(bp_test_cases, bp_expected_cases):
with self.subTest(msg='Checking if bp_a equals bp_e', bp_a=bp_a, bp_e=bp_e):
expected = np.interp(v_ego_arr, bp_e, _A_CRUISE_MIN_V)
actual = interp(v_ego_arr, bp_a, _A_CRUISE_MIN_V)
np.testing.assert_equal(actual, expected)
for v_ego in v_ego_arr:
expected = np.interp(v_ego, bp_e, _A_CRUISE_MIN_V)
actual = interp(v_ego, bp_a, _A_CRUISE_MIN_V)
np.testing.assert_equal(actual, expected)
def test_long_bp_short_v(self):
_A_CRUISE_MIN_BP = np.asarray([0., 5., 10., 20., 40.])
v_test_cases = ([-1.0], [-1.0, -.8], [-1.0, -.8, -.67], [-1.0, -.8, -.67, -.5])
v_expected_cases = ([-1.0, -1., -1., -1., -1.], [-1.0, -.8, -.8, -.8, -.8], [-1.0, -.8, -.67, -.67, -.67], [-1.0, -.8, -.67, -.5, -.5])
v_ego_arr = [-1, -1e-12, 0, 4, 5, 6, 7, 10, 11, 15.2, 20, 21, 39,
39.999999, 40, 41]
for v_a, v_e in zip(v_test_cases, v_expected_cases):
with self.subTest(msg='Checking if v_a equals v_e', v_a=v_a, v_e=v_e):
expected = np.interp(v_ego_arr, _A_CRUISE_MIN_BP, v_e)
actual = interp(v_ego_arr, _A_CRUISE_MIN_BP, v_a)
np.testing.assert_equal(actual, expected)
for v_ego in v_ego_arr:
expected = np.interp(v_ego, _A_CRUISE_MIN_BP, v_e)
actual = interp(v_ego, _A_CRUISE_MIN_BP, v_a)
np.testing.assert_equal(actual, expected)
if __name__ == "__main__":
unittest.main()
| 42.28125 | 139 | 0.597931 | 502 | 2,706 | 2.868526 | 0.135458 | 0.058333 | 0.138889 | 0.083333 | 0.766667 | 0.734722 | 0.723611 | 0.70625 | 0.649306 | 0.645139 | 0 | 0.109583 | 0.22099 | 2,706 | 63 | 140 | 42.952381 | 0.573529 | 0 | 0 | 0.395833 | 0 | 0 | 0.022912 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.0625 | false | 0 | 0.0625 | 0 | 0.145833 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
97aceb53e7f1dbcaf4f82c5005cf1af8fc591b83 | 162 | py | Python | main_ignore.py | WarriorsSami/Alexis | 52cd2a995d1f483331fa85d34ce5b4315f2f154d | [
"Apache-2.0"
] | null | null | null | main_ignore.py | WarriorsSami/Alexis | 52cd2a995d1f483331fa85d34ce5b4315f2f154d | [
"Apache-2.0"
] | null | null | null | main_ignore.py | WarriorsSami/Alexis | 52cd2a995d1f483331fa85d34ce5b4315f2f154d | [
"Apache-2.0"
] | null | null | null | from WebDriverCreator import WebDriverCreator
from util import getAppConfig
from app import App
import time
config = getAppConfig()
App = App(config)
App.run()
| 16.2 | 45 | 0.802469 | 21 | 162 | 6.190476 | 0.428571 | 0.138462 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.141975 | 162 | 9 | 46 | 18 | 0.935252 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.571429 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
97d291bab2edc45cd37a69551c650d3004de40f8 | 26,691 | py | Python | FunctionalTest/RAS/VistA-FOIA/Packages/Problem List/PLMain01_suite.py | JimDeanSpivey/ATF-for-Vista-FOIA | fbc07e98e307dee192fa1ca8cbf0137895376847 | [
"Apache-2.0"
] | 1 | 2015-12-10T20:45:34.000Z | 2015-12-10T20:45:34.000Z | FunctionalTest/RAS/VistA-FOIA/Packages/Problem List/PLMain01_suite.py | JimDeanSpivey/ATF-for-Vista-FOIA | fbc07e98e307dee192fa1ca8cbf0137895376847 | [
"Apache-2.0"
] | null | null | null | FunctionalTest/RAS/VistA-FOIA/Packages/Problem List/PLMain01_suite.py | JimDeanSpivey/ATF-for-Vista-FOIA | fbc07e98e307dee192fa1ca8cbf0137895376847 | [
"Apache-2.0"
] | null | null | null | '''
Created on Mar 9, 2012
@author: pbradley
'''
import sys
sys.path = ['./FunctionalTest/RAS/lib'] + ['./dataFiles'] + ['./lib/vista'] + sys.path
from PLActions import PLActions
from ORActions import ORActions
import TestHelper
def pl_test001(test_suite_details):
''' NIST Inpatient Test '''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='333224444', pfile='./FunctionalTest/dataFiles/NISTinpatientdata0.csv')
pl.editinactivate(ssn='333224444', probnum='4', resdate='08/29/2010')
pl.editinactivate(ssn='333224444', probnum='3', resdate='08/29/2010')
pl.verplist(ssn='333224444', vlist=['Essential Hypertension',
'Chronic airway obstruction'])
pl.verify(ssn='333224444', probnum='1', itemnum='1',
evalue='Essential Hypertension')
pl.verify(ssn='333224444', probnum='2', itemnum='1',
evalue='Chronic airway obstruction')
pl.verify(ssn='333224444', probnum='1', itemnum='1',
evalue='Acute myocardial', view='IA')
pl.verify(ssn='333224444', probnum='2', itemnum='1',
evalue='Congestive Heart Failure', view='IA')
for i in range(4):
pl.rem(ssn='333224444')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test002(test_suite_details):
''' Restore Removed Problems '''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='888776666', pfile='./FunctionalTest/dataFiles/NISTinpatientdata0.csv')
pl.editinactivate(ssn='888776666', probnum='4', resdate='08/29/2010')
pl.editinactivate(ssn='888776666', probnum='3', resdate='08/29/2010')
pl.verplist(ssn='888776666', vlist=['Essential Hypertension',
'Chronic airway obstruction'])
pl.verify(ssn='888776666', probnum='1', itemnum='1',
evalue='Essential Hypertension')
pl.verify(ssn='888776666', probnum='2', itemnum='1',
evalue='Chronic airway obstruction')
pl.verify(ssn='888776666', probnum='1', itemnum='1',
evalue='Acute myocardial', view='IA')
pl.verify(ssn='888776666', probnum='2', itemnum='1',
evalue='Congestive Heart Failure', view='IA')
for i in range(4):
pl.rem(ssn='888776666')
pl.checkempty(ssn='888776666')
pl.replace(ssn='888776666', probnum='1')
pl.verify(ssn='888776666', probnum='1', itemnum='1',
evalue='Essential Hypertension')
pl.rem(ssn='888776666')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test003(test_suite_details):
''' Change Problem Data '''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='656771234',
pfile='./FunctionalTest/dataFiles/NISTinpatientdata0.csv')
pl.editsimple(ssn='656771234', probnum='1', itemnum='1',
chgval='787.1')
pl.editsimple(ssn='656771234', probnum='1', itemnum='2',
chgval='3/26/12')
pl.editsimple(ssn='656771234', probnum='1', itemnum='4',
chgval='MANAGER')
pl.editsimple(ssn='656771234', probnum='1', itemnum='5',
chgval='VISTA')
pl.verify(ssn='656771234', probnum='1', itemnum='1',
evalue='Heartburn')
pl.verify(ssn='656771234', probnum='1', itemnum='2',
evalue='3/26/12')
pl.verify(ssn='656771234', probnum='1', itemnum='4',
evalue='MANAGER,SYSTEM')
pl.verify(ssn='656771234', probnum='1', itemnum='5',
evalue='VISTA')
for i in range(4):
pl.rem(ssn='656771234')
pl.checkempty(ssn='656771234')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test004(test_suite_details):
''' Create Problem Selection List, add/modify/remove categories and problems '''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1)
pl.signon()
pl.createsellist(listname="List001", clinic='VISTA')
pl.createcat(listname='List001', catname='cat001')
pl.createcat(listname='List001', catname='cat002')
pl.catad(listname='List001', catname='cat001', icd='787.1')
pl.catad(listname='List001', catname='cat001', icd='786.50')
pl.catad(listname='List001', catname='cat001', icd='100.0')
pl.catad(listname='List001', catname='cat002', icd='780.50')
pl.catad(listname='List001', catname='cat002', icd='292.0')
pl.catad(listname='List001', catname='cat002', icd='304.90')
pl.sellistad(listname='List001', catname='cat001')
pl.sellistad(listname='List001', catname='cat002')
pl.versellist(ssn='656454321', clinic='VISTA',
vlist=['List001', 'cat001', 'Heartburn', 'chest pain',
'Leptospirosis', 'cat002', 'Sleep Disturbance',
'Drug withdrawal', 'drug dependence'])
pl.add(ssn='656454321', clinic='VISTA', probnum='1',
comment='this is a test', onsetdate='t', status='Active',
acutechronic='A', service='N', evalue='Heartburn')
pl.verify(ssn='656454321', probnum='1', itemnum='1',
evalue='Heartburn')
pl.rem(ssn='656454321')
pl.sellistrm(listname='List001')
pl.sellistrm(listname='List001')
pl.catdl(listname='List001', catname='cat001')
pl.catdl(listname='List001', catname='cat002')
pl.sellistrfu(listname='List001', username='Alexander')
pl.sellistdl(listname='List001')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test005(test_suite_details):
''' Create Problem Selection List, assign to user, and add problem '''
'''Separate VistA Instances to allow concurrent logins in case of
future use of tstart and trollback when these features are available'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
test_driver.testname = test_driver.testname + "_01"
VistA1 = test_driver.connect_VistA(test_suite_details)
pl1 = PLActions(VistA1)
pl1.signon()
pl1.createsellist(listname="List002", clinic='')
pl1.sellistgal(listname="List002", username='Alexander')
pl1.createcat(listname='List002', catname='cat011')
pl1.createcat(listname='List002', catname='cat022')
pl1.catad(listname='List002', catname='cat011', icd='787.1')
pl1.catad(listname='List002', catname='cat011', icd='786.50')
pl1.catad(listname='List002', catname='cat011', icd='100.0')
pl1.catad(listname='List002', catname='cat022', icd='780.50')
pl1.catad(listname='List002', catname='cat022', icd='292.0')
pl1.catad(listname='List002', catname='cat022', icd='304.90')
pl1.sellistad(listname='List002', catname='cat011')
pl1.sellistad(listname='List002', catname='cat022')
test_driver.testname = test_driver.testname + "_02"
VistA2 = test_driver.connect_VistA(test_suite_details)
pl2 = PLActions(VistA2, user='fakedoc1', code='1Doc!@#$')
pl2.signon()
pl2.versellist(ssn='345623902', clinic='',
vlist=['List002', 'cat011', 'Heartburn', 'chest pain',
'Leptospirosis', 'cat022', 'Sleep Disturbance',
'Drug withdrawal', 'drug dependence'])
pl2.add(ssn='345623902', clinic='', probnum='1',
comment='this is a test', onsetdate='t',
status='Active', acutechronic='A', service='N',
evalue='Heartburn')
pl2.verify(ssn='345623902', probnum='1', itemnum='1',
evalue='Heartburn')
pl2.rem(ssn='345623902')
pl1.sellistrm(listname='List002')
pl1.sellistrm(listname='List002')
pl1.catdl(listname='List002', catname='cat011')
pl1.catdl(listname='List002', catname='cat022')
pl1.sellistrfu(listname='List002', username='Alexander')
pl1.sellistdl(listname='List002')
pl2.signoff()
pl1.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test006 (test_suite_details):
''' Create Selection List from IB Encounter Form'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA, user='fakenurse1', code='1Nur!@#$')
pl.signon()
pl.createibform('LAB', 'FORM1', 'Group1', ['428.0', '410.90', '401.9'])
pl.sellistib('FORM1', 'List003', 'LAB')
pl.versellist(ssn='345238901', clinic='LAB',
vlist=['List003', 'Group1', 'Congestive Heart Failure', 'Acute myocardial', 'Essential Hypertension'])
pl.add(ssn='345238901', clinic='LAB', probnum='1',
comment='this is a test', onsetdate='t', status='Active',
acutechronic='A', service='N', evalue='Congestive')
pl.verify(ssn='345238901', probnum='1', itemnum='1',
evalue='Congestive')
pl.rem('345238901')
pl.sellistrm(listname='List003')
pl.catdl(listname='List003', catname='Group1')
pl.sellistrfu(listname='List003', username='Alexander')
pl.sellistdl(listname='List003')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test007 (test_suite_details):
''' Add problems and View Patients by Problems (PL menu items 4 & 5)'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='655447777', pfile='./FunctionalTest/dataFiles/NISTinpatientdata0.csv')
pl.addcsv(ssn='543236666', pfile='./FunctionalTest/dataFiles/NISTinpatientdata0.csv')
pl.addcsv(ssn='345678233', pfile='./FunctionalTest/dataFiles/NISTinpatientdata0.csv')
pl.verlistpats(vlist=['EIGHT,PATIENT', 'ONE,PATIENT', 'TWELVE,PATIENT'])
pl.verpatsrch(prob='428.0', vlist=['EIGHT,PATIENT', 'ONE,PATIENT', 'TWELVE,PATIENT'])
for i in range(4):
pl.rem('655447777')
pl.rem('543236666')
pl.rem('345678233')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test008 (test_suite_details):
''' Add problem via data entry as clerk and change as doctor'''
'''Multiple VistA instances to allow concurrent logins for when
tstart and trollback become available and implemented'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
test_driver.testname = test_driver.testname + "_01"
VistA1 = test_driver.connect_VistA(test_suite_details)
pl1 = PLActions(VistA1, user='fakeclerk1', code='1Cle!@#$')
pl1.signon()
pl1.dataentry(ssn='666551234', provider='Alexander', clinic='', problem='chest pain',
comment='test', onsetdate='t', status='Active', acutechronic='A',
service='N')
pl1.signoff()
test_driver.testname = test_driver.testname + "_01"
VistA2 = test_driver.connect_VistA(test_suite_details)
pl2 = PLActions(VistA2, user='fakedoc1', code='1Doc!@#$')
pl2.signon()
pl2.editsimple(ssn='666551234', probnum='1', itemnum='1', chgval='786.50')
pl2.verplist(ssn='666551234', vlist=['Unspecified chest pain'])
pl2.rem('666551234')
pl2.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test009 (test_suite_details):
''' Verify Problem List through Order Entry package'''
'''Multiple VistA instances to allow concurrent logins for when
tstart and trollback become available and implemented'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
test_driver.testname = test_driver.testname + "_01"
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='323678904', pfile='./FunctionalTest/dataFiles/NISTinpatientdata0.csv')
pl.verplist(ssn='323678904', vlist=['Essential Hypertension',
'Chronic airway obstruction',
'Acute myocardial',
'Congestive Heart Failure'])
pl.signoff()
test_driver.testname = test_driver.testname + "_02"
VistA2 = test_driver.connect_VistA(test_suite_details)
oentry = ORActions(VistA2)
oentry.signon()
oentry.verproblems(ssn='323678904', vlist=['Essential Hypertension',
'Chronic airway obstruction',
'Acute myocardial',
'Congestive Heart Failure'])
oentry.signoff()
test_driver.testname = test_driver.testname + "_03"
VistA3 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA3, user='fakedoc1', code='1Doc!@#$')
pl.signon()
for i in range(4):
pl.rem('323678904')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test010(test_suite_details):
''' Add problems to Problem List and then Remove them. '''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='323554545', pfile='./FunctionalTest/dataFiles/probdata0.csv')
pl.verplist(ssn='323554545', vlist=['drug abuse', 'Arterial embolism'])
pl.rem(ssn='323554545')
pl.rem(ssn='323554545')
pl.checkempty(ssn='323554545')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test011(test_suite_details):
''' Add a problem, add comments, and then remove to/from Problem List. '''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='656451234', pfile='./FunctionalTest/dataFiles/probdata0.csv')
pl.verplist(ssn='656451234', vlist=['drug abuse', 'Arterial embolism'])
pl.comcm(ssn='656451234', probnum='1', comment='this is XZY a test')
pl.rem(ssn='656451234')
pl.rem(ssn='656451234')
pl.checkempty(ssn='656451234')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test012(test_suite_details):
'''Problem List Menu Testing'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
'''
TODO:
need to rethink how to make multiple test connects happen with different test names?
Using sys._getframe().f_code.co_name works in a single connect per test paradigm.
'''
test_driver.testname = test_driver.testname + "_01"
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.addcsv(ssn='656451234', pfile='./FunctionalTest/dataFiles/probdata0.csv')
pl.detview(ssn='656451234', probnum='2', vlist1=['ACTIVE', 'ALEXANDER', '444.21'], vlist2=['hurts'])
pl.rem(ssn='656451234')
pl.rem(ssn='656451234')
pl.checkempty(ssn='656451234')
pl.signoff()
test_driver.testname = test_driver.testname + "_02"
VistA2 = test_driver.connect_VistA(test_suite_details)
p2 = PLActions(VistA2, user='fakeclerk1', code='1Cle!@#$')
p2.signon()
p2.dataentry(ssn='656451234', provider='Alexander', clinic='', problem='305.91', comment='Test', onsetdate='t', status='a', acutechronic='A', service='n')
p2.signoff()
test_driver.testname = test_driver.testname + "_03"
VistA3 = test_driver.connect_VistA(test_suite_details)
p3 = PLActions(VistA3, user='fakedoc1', code='1Doc!@#$')
p3.signon()
p3.verifyproblem(ssn='656451234', problem='305.91')
p3.signoff()
test_driver.testname = test_driver.testname + "_04"
VistA4 = test_driver.connect_VistA(test_suite_details)
p4 = PLActions(VistA4, user='fakedoc1', code='1Doc!@#$')
p4.signon()
p4.selectnewpatient(ssn1='656451234', name1='SIX,', ss2='323554545', name2='NINE,')
p4.signoff()
test_driver.testname = test_driver.testname + "_05"
VistA5 = test_driver.connect_VistA(test_suite_details)
p5 = PLActions(VistA5, user='fakedoc1', code='1Doc!@#$')
p5.signon()
p5.addcsv(ssn='656451234', pfile='./FunctionalTest/dataFiles/probdata0.csv')
p5.printproblemlist(ssn='656451234', vlist=['PROBLEM LIST', '305.91'])
p5.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def pl_test013(test_suite_details):
#Tests the remainder of the selection list Build menu options
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
pl = PLActions(VistA1, user='fakedoc1', code='1Doc!@#$')
pl.signon()
pl.createsellist(listname="List001", clinic='VISTA')
pl.createsellist(listname="List002", clinic='VISTA')
pl.createcat(listname='List001', catname='cat001')
pl.createcat(listname='List001', catname='cat002')
pl.catad(listname='List001', catname='cat001', icd='787.1')
pl.catad(listname='List001', catname='cat001', icd='786.50')
pl.catad(listname='List001', catname='cat001', icd='100.0')
pl.catad(listname='List001', catname='cat002', icd='780.50')
pl.catad(listname='List001', catname='cat002', icd='292.0')
pl.catad(listname='List001', catname='cat002', icd='304.90')
pl.sellistad(listname='List001', catname='cat001')
pl.sellistad(listname='List001', catname='cat002')
pl.resequencecat(listname='List001', catnames=['cat001', 'cat002'])
pl.categorydisp(listname='List001', catname='cat001')
pl.changesellist(list1='List001', list2='List002')
pl.sellistrm(listname='List001')
pl.sellistrm(listname='List001')
pl.catdl(listname='List001', catname='cat001')
pl.catdl(listname='List001', catname='cat002')
pl.sellistrfu(listname='List001', username='Alexander')
pl.sellistdl(listname='List001')
pl.sellistdl(listname='List002')
pl.signoff()
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def startmon(test_suite_details):
'''Starts Coverage Monitor'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
VistA1 = test_driver.connect_VistA(test_suite_details)
VistA1.startCoverage(routines=['GMPL*']) #TODO: move out of OSEHRA helper?
'''
Close Vista
'''
VistA1.write('^\r^\r^\r')
VistA1.write('h\r')
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
def stopmon (test_suite_details):
''' STOP MONITOR'''
testname = sys._getframe().f_code.co_name
test_driver = TestHelper.TestDriver(testname)
test_driver.pre_test_run(test_suite_details)
try:
# Connect to VistA
VistA1 = test_driver.connect_VistA(test_suite_details)
VistA1.stopCoverage(path=(test_suite_details.result_dir + '/' + 'ProblemList_coverage.txt')) #TODO: move out of OSEHRA helper?
'''
Close Vista
'''
VistA1.write('^\r^\r^\r')
VistA1.write('h\r')
test_driver.post_test_run(test_suite_details)
except TestHelper.TestError, e:
test_driver.exception_handling(test_suite_details, e)
else:
test_driver.try_else_handling(test_suite_details)
finally:
test_driver.finally_handling(test_suite_details)
test_driver.end_method_handling(test_suite_details)
'''
def connect_VistA(testname, result_dir):
# Connect to VistA
logging.debug('Connect_VistA')
from OSEHRAHelper import ConnectToMUMPS,PROMPT
VistA = ConnectToMUMPS(logfile=result_dir + '/' + testname + '.txt', instance='', namespace='')
if VistA.type=='cache':
try:
VistA.ZN('VISTA')
except IndexError,no_namechange:
pass
VistA.wait(PROMPT)
return VistA
'''
| 45.625641 | 162 | 0.651456 | 3,097 | 26,691 | 5.400387 | 0.116242 | 0.090882 | 0.123408 | 0.086099 | 0.789178 | 0.748401 | 0.72012 | 0.665949 | 0.637369 | 0.608311 | 0 | 0.072672 | 0.21895 | 26,691 | 584 | 163 | 45.703767 | 0.729601 | 0.005283 | 0 | 0.689379 | 0 | 0 | 0.156847 | 0.022297 | 0 | 0 | 0 | 0.005137 | 0 | 0 | null | null | 0 | 0.008016 | null | null | 0.002004 | 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 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
8ae79799648a9dfd0b002515cdfe82378a6b0f0a | 42 | py | Python | tools/extra/pypackager/opae/tools/packager/__init__.py | trixirt/opae-sdk | 71ac5d4a7923826bc3b6c8e971b5b3b48a08044d | [
"BSD-3-Clause"
] | null | null | null | tools/extra/pypackager/opae/tools/packager/__init__.py | trixirt/opae-sdk | 71ac5d4a7923826bc3b6c8e971b5b3b48a08044d | [
"BSD-3-Clause"
] | null | null | null | tools/extra/pypackager/opae/tools/packager/__init__.py | trixirt/opae-sdk | 71ac5d4a7923826bc3b6c8e971b5b3b48a08044d | [
"BSD-3-Clause"
] | null | null | null | from packager import main
__all__=['main'] | 21 | 25 | 0.785714 | 6 | 42 | 4.833333 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.095238 | 42 | 2 | 26 | 21 | 0.763158 | 0 | 0 | 0 | 0 | 0 | 0.093023 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
8aeaf8f1dcbf05a0cd9071a9ce4cb03c7bec25a7 | 821 | py | Python | application/model/entity/product.py | UniversidadeDeVassouras/labproginter-2020.2-LucasLeal-p2 | dc0185381e3ca86b5213b8393d12bca0cdee4c7c | [
"Apache-2.0"
] | 2 | 2021-01-06T14:19:26.000Z | 2021-09-10T01:43:51.000Z | application/model/entity/product.py | UniversidadeDeVassouras/labproginter-2020.2-LucasLeal-p2 | dc0185381e3ca86b5213b8393d12bca0cdee4c7c | [
"Apache-2.0"
] | null | null | null | application/model/entity/product.py | UniversidadeDeVassouras/labproginter-2020.2-LucasLeal-p2 | dc0185381e3ca86b5213b8393d12bca0cdee4c7c | [
"Apache-2.0"
] | 1 | 2020-12-22T13:51:39.000Z | 2020-12-22T13:51:39.000Z | class Product:
def __init__(self, id, name, image, old_price, price, description, installments, value):
self._id = id
self.name = name
self.image = image
self.old_price = old_price
self.price = price
self.description = description
self.installments = installments
self.value = value
def get_id(self):
return self._id
def get_name(self):
return self.name
def get_image(self):
return self.image
def get_old_price(self):
return self.old_price
def get_price(self):
return self.price
def get_description(self):
return self.description
def get_installments(self):
return self.installments
def get_value(self):
return self.value | 24.147059 | 92 | 0.601705 | 98 | 821 | 4.846939 | 0.153061 | 0.101053 | 0.235789 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.325213 | 821 | 34 | 93 | 24.147059 | 0.857401 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.346154 | false | 0 | 0 | 0.307692 | 0.692308 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
8afd8b212f7592d99d2d966ecdb09403bdd0ae8d | 72 | py | Python | src/demo/__init__.py | weijinqian0/feature_eda | cf2167eeac726fb33ce2ae5c7051412815601b8b | [
"Apache-2.0"
] | 6 | 2020-12-09T11:06:49.000Z | 2021-09-13T08:00:55.000Z | src/demo/__init__.py | weijinqian0/feature_eda | cf2167eeac726fb33ce2ae5c7051412815601b8b | [
"Apache-2.0"
] | null | null | null | src/demo/__init__.py | weijinqian0/feature_eda | cf2167eeac726fb33ce2ae5c7051412815601b8b | [
"Apache-2.0"
] | 3 | 2020-11-15T15:23:39.000Z | 2021-07-17T08:06:46.000Z | base_data_path = '/Users/weijinqian/Documents/feature/feature_eda/data'
| 36 | 71 | 0.833333 | 10 | 72 | 5.7 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.041667 | 72 | 1 | 72 | 72 | 0.826087 | 0 | 0 | 0 | 0 | 0 | 0.722222 | 0.722222 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
c100959f7f1a432e5567a2883e17e9aec87b6505 | 175 | py | Python | algorithms/1431. Kids With the Greatest Number of Candies.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | 1 | 2020-12-02T13:54:30.000Z | 2020-12-02T13:54:30.000Z | algorithms/1431. Kids With the Greatest Number of Candies.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | algorithms/1431. Kids With the Greatest Number of Candies.py | woozway/py3-leetcode | e51a9ce7a6bb3e35c0fcb8c8f4f6cd5763708dbf | [
"MIT"
] | null | null | null | class Solution:
def kidsWithCandies(self, candies: List[int], extraCandies: int) -> List[bool]:
maxn = max(candies)
return [x+extraCandies >= maxn for x in candies]
| 35 | 81 | 0.697143 | 23 | 175 | 5.304348 | 0.695652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.177143 | 175 | 4 | 82 | 43.75 | 0.847222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
c1295543558c81b0b89ab6067ca0e0276be5eeb3 | 1,815 | py | Python | controller/secondary/secondary.py | JakobProssinger/-StratoFlight-System-Control | 1ebd154b4e15709d244fb88d5e54746102356acf | [
"MIT"
] | 2 | 2021-12-14T16:25:01.000Z | 2022-01-11T16:58:47.000Z | controller/secondary/secondary.py | JakobProssinger/-StratoFlight-System-Control | 1ebd154b4e15709d244fb88d5e54746102356acf | [
"MIT"
] | 1 | 2022-01-24T21:07:16.000Z | 2022-01-24T21:07:16.000Z | controller/secondary/secondary.py | JakobProssinger/-StratoFlight-System-Control | 1ebd154b4e15709d244fb88d5e54746102356acf | [
"MIT"
] | null | null | null | """
@File: secondary.py
@Descrption:
@Author: Prossinger Jakob
@Date: 8 March 2022
@Todo: *
"""
import RPi.GPIO as GPIO
class Secondary():
# TODO change to global
SHUTDOWN_REQUEST = GPIO.HIGH
NOT_SHUTDOWN_REQUEST = GPIO.LOW
SHUTDOWN = GPIO.LOW
NOT_SHUTDOWN = GPIO.HIGH
def __init__(self, raspberry_name: str, request_pin: int,
power_off_pin: int, shutdown_voltage: float, power_on_voltage: float):
self.name: str = raspberry_name
self.request_pin: int = request_pin
self.power_off_pin: int = power_off_pin
self._request_status: bool = Secondary.NOT_SHUTDOWN_REQUEST
self._power_status: bool = Secondary.NOT_SHUTDOWN
self.shutdown_voltage: float = shutdown_voltage
self.power_on_voltage: float = power_on_voltage
def get_Name(self) -> str:
return self.name
def get_Power_status(self) -> bool:
return self._power_status
def get_Request_status(self) -> bool:
return self._request_status
def get_Shutdown_voltage(self) -> float:
return self.shutdown_voltage
def get_Power_on_voltage(self) -> float:
return self.power_on_voltage
def request_shutdown(self) -> None:
GPIO.output(self.request_pin, Secondary.SHUTDOWN_REQUEST)
self._request_status = Secondary.SHUTDOWN_REQUEST
def shutdown(self) -> None:
GPIO.output(self.power_off_pin, Secondary.SHUTDOWN)
self._power_status = Secondary.SHUTDOWN
def turn_on(self) -> None:
GPIO.output(self.power_off_pin, Secondary.NOT_SHUTDOWN)
self._power_status = Secondary.NOT_SHUTDOWN
GPIO.output(self.request_pin, Secondary.NOT_SHUTDOWN_REQUEST)
self._request_status = Secondary.NOT_SHUTDOWN_REQUEST
| 31.842105 | 87 | 0.685399 | 229 | 1,815 | 5.100437 | 0.196507 | 0.069349 | 0.10274 | 0.038527 | 0.496575 | 0.219178 | 0.071918 | 0.071918 | 0.071918 | 0 | 0 | 0.003592 | 0.233058 | 1,815 | 56 | 88 | 32.410714 | 0.835489 | 0.082094 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.035714 | 0 | 1 | 0.25 | false | 0 | 0.027778 | 0.138889 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
c1368d024a8f2e3b9683a5aa4b64e1fbadbe5105 | 227 | py | Python | nativerl/python/pathmind_training/__init__.py | SkymindIO/nativerl | 48f1a9897ca67fd892165818904fe8a33c5c19d4 | [
"Apache-2.0"
] | 3 | 2022-02-14T09:48:53.000Z | 2022-02-20T15:06:01.000Z | nativerl/python/pathmind_training/__init__.py | SkymindIO/nativerl | 48f1a9897ca67fd892165818904fe8a33c5c19d4 | [
"Apache-2.0"
] | 1 | 2022-02-16T11:38:44.000Z | 2022-02-16T19:33:42.000Z | nativerl/python/pathmind_training/__init__.py | SkymindIO/nativerl | 48f1a9897ca67fd892165818904fe8a33c5c19d4 | [
"Apache-2.0"
] | 1 | 2022-02-14T09:48:54.000Z | 2022-02-14T09:48:54.000Z | from .environments import get_environment
from .loggers import get_loggers
from .scheduler import get_scheduler
from .stopper import Stopper
from .utils import modify_anylogic_db_properties, write_completion_report, write_file
| 37.833333 | 85 | 0.872247 | 31 | 227 | 6.096774 | 0.548387 | 0.142857 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.096916 | 227 | 5 | 86 | 45.4 | 0.921951 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
c15cb5cd95ca4abd851ca6484134e57e8fe8039a | 472 | py | Python | Scripts/RandomPath/Field.py | EddyArellanes/Python | edbcd3ac88974f92a038f75024675a043310c98c | [
"MIT"
] | null | null | null | Scripts/RandomPath/Field.py | EddyArellanes/Python | edbcd3ac88974f92a038f75024675a043310c98c | [
"MIT"
] | null | null | null | Scripts/RandomPath/Field.py | EddyArellanes/Python | edbcd3ac88974f92a038f75024675a043310c98c | [
"MIT"
] | null | null | null | class Field:
def __init__(self):
self.drunk_coordinates = {}
def add_drunk(self, drunk, coordinate):
self.drunk_coordinates[drunk] = coordinate
def move_drunk(self, drunk):
delta_x, delta_y = drunk.walk()
current_coordinate = self.drunk_coordinates[drunk]
new_coordinate = current_coordinate.move(delta_x, delta_x)
self.drunk_coordinates[drunk] = new_coordinate
def get_coordinate(self, drunk):
return self.drunk_coordinates[drunk] | 31.466667 | 62 | 0.741525 | 61 | 472 | 5.409836 | 0.295082 | 0.218182 | 0.30303 | 0.30303 | 0.366667 | 0.230303 | 0 | 0 | 0 | 0 | 0 | 0 | 0.161017 | 472 | 15 | 63 | 31.466667 | 0.833333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0.083333 | 0.5 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
c16cfde128b4d03f5e89229525395da347117147 | 391 | py | Python | commands/base.py | bopopescu/Atharia | 6fbfb02f88281d0421f6287c4d093d766e747a58 | [
"MIT"
] | 1 | 2020-07-03T06:40:24.000Z | 2020-07-03T06:40:24.000Z | commands/base.py | bopopescu/Atharia | 6fbfb02f88281d0421f6287c4d093d766e747a58 | [
"MIT"
] | null | null | null | commands/base.py | bopopescu/Atharia | 6fbfb02f88281d0421f6287c4d093d766e747a58 | [
"MIT"
] | 1 | 2020-07-22T09:38:18.000Z | 2020-07-22T09:38:18.000Z | """
Base commands used for Atharia
"""
from evennia.commands.default.muxcommand import MuxCommand, MuxAccountCommand
from .mixins import ArxCommmandMixin
class ArxCommand(ArxCommmandMixin, MuxCommand):
"""Base command for Characters for Atharia"""
pass
class ArxPlayerCommand(ArxCommmandMixin, MuxAccountCommand):
"""Base command for Players/Accounts for Atharia"""
pass
| 24.4375 | 77 | 0.774936 | 40 | 391 | 7.575 | 0.525 | 0.09901 | 0.092409 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.143223 | 391 | 15 | 78 | 26.066667 | 0.904478 | 0.296675 | 0 | 0.333333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.333333 | 0.333333 | 0 | 0.666667 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 4 |
c18401c4297e392d00b5581074ea144e042e640c | 315 | py | Python | questionnaires/templatetags/questionnaires_tags.py | bart-merix/iogt | 04270c27456aadeb0874eae0859733d19e56f005 | [
"BSD-2-Clause"
] | null | null | null | questionnaires/templatetags/questionnaires_tags.py | bart-merix/iogt | 04270c27456aadeb0874eae0859733d19e56f005 | [
"BSD-2-Clause"
] | null | null | null | questionnaires/templatetags/questionnaires_tags.py | bart-merix/iogt | 04270c27456aadeb0874eae0859733d19e56f005 | [
"BSD-2-Clause"
] | null | null | null | from django import template
register = template.Library()
@register.inclusion_tag('questionnaires/tags/surveys_list.html')
def render_surveys_list(surveys):
return {'surveys': surveys}
@register.inclusion_tag('questionnaires/tags/polls_list.html')
def render_polls_list(polls):
return {'polls': polls}
| 22.5 | 64 | 0.777778 | 39 | 315 | 6.076923 | 0.435897 | 0.14346 | 0.168776 | 0.28692 | 0.320675 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.101587 | 315 | 13 | 65 | 24.230769 | 0.837456 | 0 | 0 | 0 | 0 | 0 | 0.266667 | 0.228571 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.125 | 0.25 | 0.625 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
c1b44d855daa47e53834f0530cfd5911ceda600c | 208 | py | Python | app/__init__.py | mihir3k/smmry | f2d2847b5f4d5ef4f48c40a53d2ef45c487bae0f | [
"MIT"
] | null | null | null | app/__init__.py | mihir3k/smmry | f2d2847b5f4d5ef4f48c40a53d2ef45c487bae0f | [
"MIT"
] | 21 | 2021-03-01T06:05:17.000Z | 2021-04-05T07:24:58.000Z | app/__init__.py | mihirwastaken/smmry | f2d2847b5f4d5ef4f48c40a53d2ef45c487bae0f | [
"MIT"
] | null | null | null | from flask import Flask
from app import config
app = Flask(__name__, template_folder='templates/build', static_folder='templates/build/static')
app.config.from_object(config.Config)
from app import routes
| 23.111111 | 96 | 0.807692 | 30 | 208 | 5.366667 | 0.433333 | 0.086957 | 0.161491 | 0.322981 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.100962 | 208 | 8 | 97 | 26 | 0.860963 | 0 | 0 | 0 | 0 | 0 | 0.177885 | 0.105769 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 0 | 0 | 0 | 0 | null | 0 | 0 | 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 | 4 |
c1ba26b3e8b7b7c3454555b57408fc28e7d48f19 | 75 | py | Python | gitlabci_local/__main__.py | starr-dusT/gitlab-ci | 06537e44a65a4521e887959c6634e63b024c51e9 | [
"Apache-2.0"
] | null | null | null | gitlabci_local/__main__.py | starr-dusT/gitlab-ci | 06537e44a65a4521e887959c6634e63b024c51e9 | [
"Apache-2.0"
] | null | null | null | gitlabci_local/__main__.py | starr-dusT/gitlab-ci | 06537e44a65a4521e887959c6634e63b024c51e9 | [
"Apache-2.0"
] | null | null | null | # Components
from gitlabci_local.cli.main import main
# Entrypoint
main()
| 12.5 | 40 | 0.786667 | 10 | 75 | 5.8 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.133333 | 75 | 5 | 41 | 15 | 0.892308 | 0.28 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
c1c275239c60a67624bd1e8f5ba5cbf40964f148 | 7,245 | py | Python | task_adaptation/data/kitti_test.py | ajschumacher/task_adaptation | d2a72ed68e1f5b9d9a97561f03cf70b3f79bdad4 | [
"Apache-2.0"
] | null | null | null | task_adaptation/data/kitti_test.py | ajschumacher/task_adaptation | d2a72ed68e1f5b9d9a97561f03cf70b3f79bdad4 | [
"Apache-2.0"
] | null | null | null | task_adaptation/data/kitti_test.py | ajschumacher/task_adaptation | d2a72ed68e1f5b9d9a97561f03cf70b3f79bdad4 | [
"Apache-2.0"
] | null | null | null | # coding=utf-8
# Copyright 2019 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, 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.
"""Tests for kitti.py."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from task_adaptation.data import data_testing_lib
from task_adaptation.data import kitti
import tensorflow as tf
class KittiDataCountTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataCountTest, self).setUp(
data_wrapper=kitti.KittiData(task="count_all"),
num_classes=16,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class KittiDataCountLeftTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataCountLeftTest, self).setUp(
data_wrapper=kitti.KittiData(task="count_left"),
num_classes=16,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class KittiDataCountFarTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataCountFarTest, self).setUp(
data_wrapper=kitti.KittiData(task="count_far"),
num_classes=16,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class KittiDataCountNearTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataCountNearTest, self).setUp(
data_wrapper=kitti.KittiData(task="count_near"),
num_classes=16,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class KittiDataClosestDistanceTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataClosestDistanceTest, self).setUp(
data_wrapper=kitti.KittiData(task="closest_object_distance"),
num_classes=5,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class KittiDataClosestXLocTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataClosestXLocTest, self).setUp(
data_wrapper=kitti.KittiData(task="closest_object_x_location"),
num_classes=5,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class KittiDataCountVehiclesTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataCountVehiclesTest, self).setUp(
data_wrapper=kitti.KittiData(task="count_vehicles"),
num_classes=4,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class KittiDataClosestVehicleTest(data_testing_lib.BaseTfdsDataTest):
"""See base class for usage and test descriptions."""
def setUp(self):
super(KittiDataClosestVehicleTest, self).setUp(
data_wrapper=kitti.KittiData(task="closest_vehicle_distance"),
num_classes=4,
expected_num_samples=dict(
train=5077,
val=634,
trainval=5711,
test=634,
),
required_tensors_shapes={
"image": (None, None, 3),
"label": (),
},
tfds_label_key_map={})
class TestPreprocessing(tf.test.TestCase):
def test_count_vehicles(self):
sess = tf.Session()
x = {"image": tf.constant([0])}
x["objects"] = {"type": tf.constant([0])}
self.assertEqual(1, sess.run(kitti._count_vehicles_pp(x)["label"]))
x["objects"] = {"type": tf.constant([3])}
self.assertEqual(0, sess.run(kitti._count_vehicles_pp(x)["label"]))
x["objects"] = {"type": tf.constant([0, 1])}
self.assertEqual(2, sess.run(kitti._count_vehicles_pp(x)["label"]))
x["objects"] = {"type": tf.constant([0, 1, 2])}
self.assertEqual(3, sess.run(kitti._count_vehicles_pp(x)["label"]))
x["objects"] = {"type": tf.constant([0, 1, 2, 2, 2, 2, 2])}
self.assertEqual(3, sess.run(kitti._count_vehicles_pp(x)["label"]))
def test_closest_vehicle(self):
sess = tf.Session()
x = {"image": tf.constant([0])}
x["objects"] = {
"type": tf.constant([0]),
"location": tf.constant([[0.0, 0.0, 1.0]]),
}
self.assertEqual(0,
sess.run(kitti._closest_vehicle_distance_pp(x)["label"]))
x["objects"] = {
"type": tf.constant([0]),
"location": tf.constant([[0.0, 0.0, 10.0]]),
}
self.assertEqual(1,
sess.run(kitti._closest_vehicle_distance_pp(x)["label"]))
x["objects"] = {
"type": tf.constant([0]),
"location": tf.constant([[0.0, 0.0, 30.0]]),
}
self.assertEqual(2,
sess.run(kitti._closest_vehicle_distance_pp(x)["label"]))
x["objects"] = {
"type": tf.constant([4]),
"location": tf.constant([[0.0, 0.0, 30.0]]),
}
self.assertEqual(3,
sess.run(kitti._closest_vehicle_distance_pp(x)["label"]))
x["objects"] = {
"type": tf.constant([0, 1]),
"location": tf.constant([[0.0, 0.0, 30.0], [0.0, 0.0, 1.0]]),
}
self.assertEqual(0,
sess.run(kitti._closest_vehicle_distance_pp(x)["label"]))
if __name__ == "__main__":
tf.test.main()
| 30.313808 | 78 | 0.604003 | 846 | 7,245 | 4.977541 | 0.182033 | 0.009024 | 0.039183 | 0.033246 | 0.734267 | 0.720969 | 0.712895 | 0.705058 | 0.643315 | 0.613156 | 0 | 0.039635 | 0.258247 | 7,245 | 238 | 79 | 30.441176 | 0.743952 | 0.133333 | 0 | 0.650273 | 0 | 0 | 0.067846 | 0.011576 | 0 | 0 | 0 | 0 | 0.054645 | 1 | 0.054645 | false | 0 | 0.032787 | 0 | 0.136612 | 0.005464 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
c1e3429b261e7c3f62b08920f5fdf01fab7c2808 | 443 | py | Python | src/models/empf/evolving/clustering/__init__.py | nayronmorais/EMPF | 4baf87dcbd0689cbe43ec3d8775f489ee7742426 | [
"MIT"
] | null | null | null | src/models/empf/evolving/clustering/__init__.py | nayronmorais/EMPF | 4baf87dcbd0689cbe43ec3d8775f489ee7742426 | [
"MIT"
] | null | null | null | src/models/empf/evolving/clustering/__init__.py | nayronmorais/EMPF | 4baf87dcbd0689cbe43ec3d8775f489ee7742426 | [
"MIT"
] | null | null | null | """That package provide implementation of evolving clustering methods."""
from . import _base
from . import esbm
from . import autocloud
from . import oec
from . import microtedaclus
__all__ = ['esbm', 'autocloud', 'oec', 'microtedaclus']
ON_FIRST_CLUSTER = _base.BaseClusteringMethod.ON_FIRST_CLUSTER
ON_KNOWED_CLUSTER = _base.BaseClusteringMethod.ON_KNOWED_CLUSTER
ON_TRANSITION_CLUSTER = _base.BaseClusteringMethod.ON_TRANSITION_CLUSTER
| 31.642857 | 73 | 0.817156 | 52 | 443 | 6.576923 | 0.423077 | 0.146199 | 0.27193 | 0.289474 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.103837 | 443 | 13 | 74 | 34.076923 | 0.861461 | 0.151242 | 0 | 0 | 0 | 0 | 0.078378 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.555556 | 0 | 0.555556 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
c1e7f83e2c6c1b95e49b1575237c5ef9af5f0814 | 179 | py | Python | rmcalyse/general_functions/distance_class.py | antgobar/rmcalyse | dee40416bfd7cf73a4ede6eb309b484397e11310 | [
"MIT"
] | 3 | 2021-02-17T18:09:16.000Z | 2021-03-12T12:36:19.000Z | rmcalyse/general_functions/distance_class.py | antgobar/rmcalyse | dee40416bfd7cf73a4ede6eb309b484397e11310 | [
"MIT"
] | null | null | null | rmcalyse/general_functions/distance_class.py | antgobar/rmcalyse | dee40416bfd7cf73a4ede6eb309b484397e11310 | [
"MIT"
] | 1 | 2021-03-12T12:37:24.000Z | 2021-03-12T12:37:24.000Z | import numpy as np
class distance():
def __init__(self, cell_parameters, atomic_positions, basis=False):
self.positions = atomic_positions
self.basis = None
| 22.375 | 71 | 0.703911 | 22 | 179 | 5.409091 | 0.727273 | 0.252101 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.217877 | 179 | 7 | 72 | 25.571429 | 0.85 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.6 | 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 | 0 | 0 | 1 | 0 | 0 | 4 |
c1e96a3e33c696e04bd63075eba4c04205ebf7f1 | 283 | py | Python | globals.py | NathanKolbow/Kovaaks-Thing | 0f3ffc2cd50242d21f07f08072f93f1e9beee873 | [
"MIT"
] | null | null | null | globals.py | NathanKolbow/Kovaaks-Thing | 0f3ffc2cd50242d21f07f08072f93f1e9beee873 | [
"MIT"
] | null | null | null | globals.py | NathanKolbow/Kovaaks-Thing | 0f3ffc2cd50242d21f07f08072f93f1e9beee873 | [
"MIT"
] | null | null | null | GRAPH_SIZE = (800, 800)
GRAPH_BOUNDARIES = ((0, 0), (1000, 1000))
GRAPH_PADDING = 20
GRAPH_COORDS_BOTTOM_LEFT = (0 - GRAPH_PADDING, 0 - GRAPH_PADDING)
GRAPH_COORDS_TOP_RIGHT = (GRAPH_BOUNDARIES[1][0] +
GRAPH_PADDING, GRAPH_BOUNDARIES[1][1] + GRAPH_PADDING)
| 40.428571 | 80 | 0.681979 | 39 | 283 | 4.564103 | 0.358974 | 0.337079 | 0.219101 | 0.202247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 0.194346 | 283 | 6 | 81 | 47.166667 | 0.675439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
de117d8bc13876d137a2678c2c1644d435a2a0bf | 23,085 | py | Python | tests/chain_integration/database_integration/test_graph_sync.py | trustlines-network/relay-server | 8ad441c995d82b6eb5e85803133ac3b108239d42 | [
"MIT"
] | 7 | 2017-07-21T09:13:56.000Z | 2019-03-06T05:38:45.000Z | tests/chain_integration/database_integration/test_graph_sync.py | trustlines-network/relay-server | 8ad441c995d82b6eb5e85803133ac3b108239d42 | [
"MIT"
] | 223 | 2019-06-28T13:49:09.000Z | 2021-10-20T18:04:59.000Z | tests/chain_integration/database_integration/test_graph_sync.py | trustlines-network/relay-server | 8ad441c995d82b6eb5e85803133ac3b108239d42 | [
"MIT"
] | 5 | 2019-04-07T14:31:02.000Z | 2022-03-08T10:25:42.000Z | from typing import cast
import pytest
from tests.chain_integration.conftest import CurrencyNetworkProxy
from relay.blockchain.currency_network_events import (
BalanceUpdateEvent,
BalanceUpdateEventType,
TrustlineUpdateEvent,
TrustlineUpdateEventType,
)
from relay.ethindex_db.ethindex_db import CurrencyNetworkEthindexDB
from relay.ethindex_db.sync_updates import (
BalanceUpdateFeedUpdate,
NetworkFreezeFeedUpdate,
NetworkUnfreezeFeedUpdate,
TrustlineUpdateFeedUpdate,
ensure_graph_sync_id_file_exists,
get_graph_updates_feed,
write_graph_sync_id_file,
)
from relay.network_graph.graph import CurrencyNetworkGraph
ZERO_ADDRESS = "0x0000000000000000000000000000000000000000"
@pytest.fixture(autouse=True, scope="session")
def fix_ensure_graph_sync_id_file_exists():
ensure_graph_sync_id_file_exists()
write_graph_sync_id_file(0)
@pytest.fixture(autouse=True)
def delete_event_feed_table(
generic_db_connection,
currency_network_with_trustlines_and_interests,
currency_network_with_trustlines_and_interests_session,
currency_network_with_trustlines,
currency_network_with_trustlines_session,
chain_cleanup,
):
query_string = """
DELETE FROM graphfeed *;
"""
with generic_db_connection:
with generic_db_connection.cursor() as cur:
cur.execute(query_string)
class Graph(CurrencyNetworkGraph):
def apply_events_on_graph(self, events):
for event in events:
if type(event) == BalanceUpdateEvent:
self.update_balance(event.from_, event.to, event.value, event.timestamp)
elif type(event) == TrustlineUpdateEvent:
self.update_trustline(
event.from_,
event.to,
event.creditline_given,
event.creditline_received,
event.interest_rate_given,
event.interest_rate_received,
)
def apply_feed_updates_on_graph(self, feed_updates):
for update in feed_updates:
self.update_from_feed(update)
def assert_equal_graphs(
feed_graph: CurrencyNetworkGraph, event_graph: CurrencyNetworkGraph
):
trustlines_of_feed = feed_graph.get_trustlines_list()
trustlines_of_event = event_graph.get_trustlines_list()
for trustline in trustlines_of_feed:
if trustline not in trustlines_of_event:
assert (
False
), f"Found trustline in graph from feed not in graph from events {trustline}"
else:
feed_data = feed_graph.graph.get_edge_data(trustline[0], trustline[1])
event_data = event_graph.graph.get_edge_data(trustline[0], trustline[1])
assert feed_data["creditline_ab"] == event_data["creditline_ab"]
assert feed_data["creditline_ba"] == event_data["creditline_ba"]
assert feed_data["interest_ab"] == event_data["interest_ab"]
assert feed_data["interest_ba"] == event_data["interest_ba"]
assert feed_data["is_frozen"] == event_data["is_frozen"]
assert feed_data["balance_ab"] == event_data["balance_ab"]
if feed_data["balance_ab"] != 0:
assert feed_data["m_time"] == event_data["m_time"]
def test_get_event_feed_trustline_update(
currency_network: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
):
from_ = accounts[0]
to = accounts[1]
creditline_given = 100
creditline_received = 200
interest_rate_given = 1
interest_rate_received = 2
currency_network.update_trustline_with_accept(
from_,
to,
creditline_given,
creditline_received,
interest_rate_given,
interest_rate_received,
)
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
assert len(feed_updates) == 1
update = feed_updates[0]
assert type(update) == TrustlineUpdateFeedUpdate
update = cast(TrustlineUpdateFeedUpdate, update)
assert update.from_ == from_
assert update.to == to
assert update.creditline_received == creditline_received
assert update.creditline_given == creditline_given
assert update.interest_rate_given == interest_rate_given
assert update.interest_rate_received == interest_rate_received
def test_get_event_feed_balance_update(
currency_network_with_trustlines_and_interests_session: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
):
currency_network = currency_network_with_trustlines_and_interests_session
from_ = accounts[0]
to = accounts[1]
value = 123
currency_network.transfer_on_path(value, [from_, to])
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
assert len(feed_updates) == 1
update = feed_updates[0]
assert type(update) == BalanceUpdateFeedUpdate
update = cast(BalanceUpdateFeedUpdate, update)
assert update.from_ == from_
assert update.to == to
assert update.value == -value
def test_get_event_feed_reversed_trustline_update_to_empty(
currency_network: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
chain,
replace_blocks_with_empty_from_snapshot,
):
"""Test that if the chain reverts, we get a new information in the feed informing that the trustline is null"""
from_ = accounts[0]
to = accounts[1]
creditline_given = 100
creditline_received = 200
interest_rate_given = 1
interest_rate_received = 2
snapshot = chain.take_snapshot()
currency_network.update_trustline_with_accept(
from_,
to,
creditline_given,
creditline_received,
interest_rate_given,
interest_rate_received,
)
wait_for_ethindex_to_sync()
replace_blocks_with_empty_from_snapshot(snapshot)
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
print("feed updates")
for update in feed_updates:
print(update)
print()
assert len(feed_updates) == 2
update = feed_updates[0]
assert type(update) == TrustlineUpdateFeedUpdate
update = cast(TrustlineUpdateFeedUpdate, update)
assert update.from_ == from_
assert update.to == to
assert update.creditline_received == creditline_received
assert update.creditline_given == creditline_given
assert update.interest_rate_given == interest_rate_given
assert update.interest_rate_received == interest_rate_received
second_update = feed_updates[1]
assert type(second_update) == TrustlineUpdateFeedUpdate
second_update = cast(TrustlineUpdateFeedUpdate, second_update)
assert second_update.from_ == from_
assert second_update.to == to
assert second_update.creditline_received == 0
assert second_update.creditline_given == 0
assert second_update.interest_rate_given == 0
assert second_update.interest_rate_received == 0
def test_get_event_feed_reversed_trustline_update_to_old(
currency_network: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
chain,
replace_blocks_with_empty_from_snapshot,
):
"""Test that if the chain reverts, we get a new information in the feed informing about the old trustline state"""
from_ = accounts[0]
to = accounts[1]
creditline_given = 100
creditline_received = 200
interest_rate_given = 1
interest_rate_received = 2
currency_network.update_trustline_with_accept(
from_,
to,
creditline_given,
creditline_received,
interest_rate_given,
interest_rate_received,
)
snapshot = chain.take_snapshot()
wait_for_ethindex_to_sync()
currency_network.update_trustline_with_accept(
from_,
to,
2 * creditline_given,
2 * creditline_received,
2 * interest_rate_given,
2 * interest_rate_received,
)
wait_for_ethindex_to_sync()
replace_blocks_with_empty_from_snapshot(snapshot)
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
assert type(update) == TrustlineUpdateFeedUpdate
update = cast(TrustlineUpdateFeedUpdate, update)
assert update.from_ == from_
assert update.to == to
assert update.creditline_received == creditline_received
assert update.creditline_given == creditline_given
assert update.interest_rate_given == interest_rate_given
assert update.interest_rate_received == interest_rate_received
def test_get_event_feed_reversed_balance_update_to_empty(
currency_network_with_trustlines_and_interests_session: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
replace_blocks_with_empty_from_snapshot,
chain,
):
"""Test that if the chain reverts a balance update, we get the information of a null balance update"""
currency_network = currency_network_with_trustlines_and_interests_session
from_ = accounts[0]
to = accounts[1]
value = 123
snapshot = chain.take_snapshot()
currency_network.transfer_on_path(value, [from_, to])
wait_for_ethindex_to_sync()
replace_blocks_with_empty_from_snapshot(snapshot)
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
assert len(feed_updates) == 2
update = feed_updates[1]
assert type(update) == BalanceUpdateFeedUpdate
update = cast(BalanceUpdateFeedUpdate, update)
assert update.from_ == from_
assert update.to == to
assert update.value == 0
def test_get_event_feed_reversed_balance_update_to_old(
currency_network_with_trustlines_and_interests_session: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
replace_blocks_with_empty_from_snapshot,
chain,
):
"""Test that if the chain reverts a balance update, we get the information of the old balance update"""
currency_network = currency_network_with_trustlines_and_interests_session
from_ = accounts[0]
to = accounts[1]
value = 123
currency_network.transfer_on_path(value, [from_, to])
snapshot = chain.take_snapshot()
wait_for_ethindex_to_sync()
currency_network.transfer_on_path(value, [from_, to])
replace_blocks_with_empty_from_snapshot(snapshot)
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
assert type(update) == BalanceUpdateFeedUpdate
update = cast(BalanceUpdateFeedUpdate, update)
assert update.from_ == from_
assert update.to == to
assert update.value == -value
def test_get_event_feed_replaced_trustline_update(
currency_network: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
chain,
):
"""Test that if the chain reverts replacing the trustline update, we get information about the new trustline"""
from_ = accounts[0]
to = accounts[1]
creditline_given = 100
creditline_received = 200
interest_rate_given = 1
interest_rate_received = 2
snapshot = chain.take_snapshot()
currency_network.update_trustline_with_accept(
from_,
to,
creditline_given,
creditline_received,
interest_rate_given,
interest_rate_received,
)
wait_for_ethindex_to_sync()
chain.revert_to_snapshot(snapshot)
currency_network.update_trustline_with_accept(
from_,
to,
2 * creditline_given,
2 * creditline_received,
2 * interest_rate_given,
2 * interest_rate_received,
)
chain.mine_block()
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
assert type(update) == TrustlineUpdateFeedUpdate
update = cast(TrustlineUpdateFeedUpdate, update)
assert update.from_ == from_
assert update.to == to
assert update.creditline_received == 2 * creditline_received
assert update.creditline_given == 2 * creditline_given
assert update.interest_rate_given == 2 * interest_rate_given
assert update.interest_rate_received == 2 * interest_rate_received
def test_get_event_feed_replaced_balance_update(
currency_network_with_trustlines_and_interests_session: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
chain,
):
"""Test that we can revert a chain with a balance update
and replace the balance update and still get the correct update"""
currency_network = currency_network_with_trustlines_and_interests_session
from_ = accounts[0]
to = accounts[1]
value = 123
snapshot = chain.take_snapshot()
currency_network.transfer_on_path(value, [from_, to])
wait_for_ethindex_to_sync()
chain.revert_to_snapshot(snapshot)
currency_network.transfer_on_path(2 * value, [from_, to])
chain.mine_block()
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
update = cast(BalanceUpdateFeedUpdate, update)
assert type(update) == BalanceUpdateFeedUpdate
assert update.from_ == from_
assert update.to == to
assert update.value == -2 * value
def test_get_event_feed_network_freeze(
test_currency_network_v1: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
generic_db_connection,
):
currency_network = test_currency_network_v1
currency_network.freeze_network()
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
assert type(update) == NetworkFreezeFeedUpdate
def test_get_event_feed_network_unfreeze(
test_currency_network_v1: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
generic_db_connection,
):
currency_network = test_currency_network_v1
currency_network.freeze_network()
currency_network.unfreeze_network()
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
assert type(update) == NetworkUnfreezeFeedUpdate
def test_get_event_feed_reversed_network_freeze(
test_currency_network_v1: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
generic_db_connection,
chain,
replace_blocks_with_empty_from_snapshot,
):
currency_network = test_currency_network_v1
snapshot = chain.take_snapshot()
currency_network.freeze_network()
wait_for_ethindex_to_sync()
replace_blocks_with_empty_from_snapshot(snapshot)
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
assert type(update) == NetworkUnfreezeFeedUpdate
def test_get_event_feed_reversed_network_unfreeze(
test_currency_network_v1: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
generic_db_connection,
chain,
replace_blocks_with_empty_from_snapshot,
):
currency_network = test_currency_network_v1
snapshot = chain.take_snapshot()
currency_network.freeze_network()
currency_network.unfreeze_network()
wait_for_ethindex_to_sync()
replace_blocks_with_empty_from_snapshot(snapshot)
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
update = feed_updates[len(feed_updates) - 1]
assert type(update) == NetworkFreezeFeedUpdate
def sync_if_enough_transactions_sent(
transactions_sent,
transactions_between_sync,
graph,
connection,
wait_for_ethindex_to_sync,
):
if transactions_sent % transactions_between_sync == 0:
wait_for_ethindex_to_sync()
graph.apply_feed_updates_on_graph(get_graph_updates_feed(connection))
@pytest.fixture
def revert_if_enough_transactions_sent(replace_blocks_with_empty_from_snapshot):
def revert(snapshot, transactions_sent, transactions_between_revert):
if transactions_sent % transactions_between_revert == 0:
return replace_blocks_with_empty_from_snapshot(snapshot)
return snapshot
return revert
@pytest.mark.parametrize("transactions_between_sync", [1, 2, 3, 4])
@pytest.mark.parametrize("transactions_between_revert", [1, 2, 3, 4])
def test_sync_same_graphs(
currency_network_with_trustlines_and_interests_session: CurrencyNetworkProxy,
ethindex_db_for_currency_network_with_trustlines_and_interests: CurrencyNetworkEthindexDB,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
transactions_between_sync,
transactions_between_revert,
chain,
revert_if_enough_transactions_sent,
):
currency_network = currency_network_with_trustlines_and_interests_session
assert get_graph_updates_feed(generic_db_connection) == []
event_graph = Graph(
currency_network.capacity_imbalance_fee_divisor,
currency_network.default_interest_rate,
currency_network.custom_interests,
currency_network.prevent_mediator_interests,
)
feed_graph = Graph(
currency_network.capacity_imbalance_fee_divisor,
currency_network.default_interest_rate,
currency_network.custom_interests,
currency_network.prevent_mediator_interests,
)
# Make sure the feed graph starts with the proper state before getting updated with feed updates
wait_for_ethindex_to_sync()
events = ethindex_db_for_currency_network_with_trustlines_and_interests.get_all_contract_events(
event_types=[BalanceUpdateEventType, TrustlineUpdateEventType]
)
feed_graph.apply_events_on_graph(events)
transactions_sent = 0
snapshot = chain.take_snapshot()
# tx 1
currency_network.transfer_on_path(
123, [accounts[0], accounts[1], accounts[2], accounts[3]]
)
transactions_sent += 1
sync_if_enough_transactions_sent(
transactions_sent,
transactions_between_sync,
feed_graph,
generic_db_connection,
wait_for_ethindex_to_sync,
)
snapshot = revert_if_enough_transactions_sent(
snapshot, transactions_sent, transactions_between_revert
)
# tx 2
currency_network.transfer_on_path(321, [accounts[4], accounts[3], accounts[2]])
transactions_sent += 1
sync_if_enough_transactions_sent(
transactions_sent,
transactions_between_sync,
feed_graph,
generic_db_connection,
wait_for_ethindex_to_sync,
)
snapshot = revert_if_enough_transactions_sent(
snapshot, transactions_sent, transactions_between_revert
)
# tx 3
currency_network.update_trustline_with_accept(
accounts[0], accounts[1], 123123123, 321321321, 222, 333
)
transactions_sent += 1
sync_if_enough_transactions_sent(
transactions_sent,
transactions_between_sync,
feed_graph,
generic_db_connection,
wait_for_ethindex_to_sync,
)
snapshot = revert_if_enough_transactions_sent(
snapshot, transactions_sent, transactions_between_revert
)
# tx 4
currency_network.update_trustline_with_accept(
accounts[0], accounts[1], 100000000, 200000000, 200, 300
)
transactions_sent += 1
sync_if_enough_transactions_sent(
transactions_sent,
transactions_between_sync,
feed_graph,
generic_db_connection,
wait_for_ethindex_to_sync,
)
snapshot = revert_if_enough_transactions_sent(
snapshot, transactions_sent, transactions_between_revert
)
# tx 5
currency_network.update_trustline_with_accept(
accounts[0], accounts[1], 123123123, 321321321, 222, 333
)
revert_if_enough_transactions_sent(
snapshot, transactions_sent, transactions_between_revert
)
wait_for_ethindex_to_sync()
feed_graph.apply_feed_updates_on_graph(
get_graph_updates_feed(generic_db_connection)
)
events = ethindex_db_for_currency_network_with_trustlines_and_interests.get_all_contract_events(
event_types=[BalanceUpdateEventType, TrustlineUpdateEventType]
)
event_graph.apply_events_on_graph(events)
assert_equal_graphs(feed_graph, event_graph)
def test_sync_with_reordering_of_events(
currency_network_with_trustlines_and_interests_session: CurrencyNetworkProxy,
wait_for_ethindex_to_sync,
accounts,
generic_db_connection,
chain,
):
"""Test that if we have a reordering of events with the same values, we still get a correct graph from syncing"""
currency_network = currency_network_with_trustlines_and_interests_session
feed_graph = Graph(
currency_network.capacity_imbalance_fee_divisor,
currency_network.default_interest_rate,
currency_network.custom_interests,
currency_network.prevent_mediator_interests,
)
from_ = accounts[0]
to = accounts[1]
credit_limit_1 = 1_000_000
credit_limit_2 = 2_000_000
time_1 = 2_000_000_000
snapshot = chain.take_snapshot()
chain.time_travel(time_1)
currency_network_with_trustlines_and_interests_session.update_trustline_with_accept(
from_, to, credit_limit_1, credit_limit_1
)
currency_network_with_trustlines_and_interests_session.update_trustline_with_accept(
from_, to, credit_limit_2, credit_limit_2
)
wait_for_ethindex_to_sync()
chain.revert_to_snapshot(snapshot)
chain.time_travel(time_1)
currency_network_with_trustlines_and_interests_session.update_trustline_with_accept(
from_, to, credit_limit_2, credit_limit_2
)
currency_network_with_trustlines_and_interests_session.update_trustline_with_accept(
from_, to, credit_limit_1, credit_limit_1
)
chain.mine_block()
wait_for_ethindex_to_sync()
feed_updates = get_graph_updates_feed(generic_db_connection)
feed_graph.apply_feed_updates_on_graph(feed_updates)
trustline_data = feed_graph.graph.get_edge_data(from_, to)
assert trustline_data["creditline_ab"] == credit_limit_1
assert trustline_data["creditline_ba"] == credit_limit_1
def test_sync_network_freeze_on_graph():
feed_graph = CurrencyNetworkGraph(is_frozen=False)
network_freeze_update = NetworkFreezeFeedUpdate(address=ZERO_ADDRESS, timestamp=0)
assert feed_graph.is_frozen is False
feed_graph.update_from_feed(network_freeze_update)
assert feed_graph.is_frozen
def test_sync_network_unfreeze_on_graph():
feed_graph = CurrencyNetworkGraph(is_frozen=True)
network_unfreeze_update = NetworkUnfreezeFeedUpdate(
address=ZERO_ADDRESS, timestamp=0
)
assert feed_graph.is_frozen
feed_graph.update_from_feed(network_unfreeze_update)
assert feed_graph.is_frozen is False
| 33.025751 | 118 | 0.747152 | 2,774 | 23,085 | 5.742249 | 0.069214 | 0.076276 | 0.042376 | 0.048026 | 0.80457 | 0.768159 | 0.731873 | 0.697721 | 0.6846 | 0.656727 | 0 | 0.016308 | 0.189864 | 23,085 | 698 | 119 | 33.073066 | 0.835419 | 0.03734 | 0 | 0.681109 | 0 | 0 | 0.018216 | 0.004238 | 0 | 0 | 0.001894 | 0 | 0.131716 | 1 | 0.041594 | false | 0 | 0.012132 | 0 | 0.060659 | 0.005199 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
a9ac24ced845c9108c46c364c81708ef07ca929c | 117 | py | Python | tests/test_unitteststage.py | chrislat5/devops-bookstore-frontend | a9cf0018d591eac1d3ae799cf0a95bfaa5e92783 | [
"MIT"
] | null | null | null | tests/test_unitteststage.py | chrislat5/devops-bookstore-frontend | a9cf0018d591eac1d3ae799cf0a95bfaa5e92783 | [
"MIT"
] | null | null | null | tests/test_unitteststage.py | chrislat5/devops-bookstore-frontend | a9cf0018d591eac1d3ae799cf0a95bfaa5e92783 | [
"MIT"
] | null | null | null | import unittest
class GetBooksTest(unittest.TestCase):
def test_true(self):
self.assertEqual(123, 123)
| 16.714286 | 38 | 0.717949 | 14 | 117 | 5.928571 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.063158 | 0.188034 | 117 | 6 | 39 | 19.5 | 0.810526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.25 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
a9ed85510991fa80fa989f531b205bd6803ac6c5 | 54 | py | Python | run.py | phoemur/blog | d9287a9eaf4977fb9b8989f9acb1c33e5dc425c4 | [
"MIT"
] | null | null | null | run.py | phoemur/blog | d9287a9eaf4977fb9b8989f9acb1c33e5dc425c4 | [
"MIT"
] | null | null | null | run.py | phoemur/blog | d9287a9eaf4977fb9b8989f9acb1c33e5dc425c4 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
from app import app
app.run()
| 9 | 21 | 0.685185 | 10 | 54 | 3.7 | 0.8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.166667 | 54 | 5 | 22 | 10.8 | 0.822222 | 0.37037 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
a9ef8ecc24233210fd426d629862426e6daf7e2d | 93 | py | Python | Python_Codes_for_BJ/stage16 동적 계획법 기초/피보나치 함수.py | ch96an/BaekJoonSolution | 25594fda5ba1c0c4d26ff0828ec8dcf2f6572d33 | [
"MIT"
] | null | null | null | Python_Codes_for_BJ/stage16 동적 계획법 기초/피보나치 함수.py | ch96an/BaekJoonSolution | 25594fda5ba1c0c4d26ff0828ec8dcf2f6572d33 | [
"MIT"
] | null | null | null | Python_Codes_for_BJ/stage16 동적 계획법 기초/피보나치 함수.py | ch96an/BaekJoonSolution | 25594fda5ba1c0c4d26ff0828ec8dcf2f6572d33 | [
"MIT"
] | null | null | null | for _ in range(int(input())):
a,b=1,0
for i in range(int(input())):
a,b=b,a+b
print(a,b) | 18.6 | 30 | 0.580645 | 23 | 93 | 2.304348 | 0.478261 | 0.150943 | 0.377358 | 0.566038 | 0.641509 | 0.641509 | 0 | 0 | 0 | 0 | 0 | 0.025641 | 0.16129 | 93 | 5 | 31 | 18.6 | 0.653846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.2 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
a9f2ed8edd73c9832bd2179efe3441c32052c454 | 25 | py | Python | settings.py | charlieguo0610/StormPlane | e165f2488b52ea0d3d12d3d2182ac737a7c37ad5 | [
"MIT"
] | null | null | null | settings.py | charlieguo0610/StormPlane | e165f2488b52ea0d3d12d3d2182ac737a7c37ad5 | [
"MIT"
] | null | null | null | settings.py | charlieguo0610/StormPlane | e165f2488b52ea0d3d12d3d2182ac737a7c37ad5 | [
"MIT"
] | null | null | null | WIDTH = 800
HEIGHT = 600
| 8.333333 | 12 | 0.68 | 4 | 25 | 4.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.315789 | 0.24 | 25 | 2 | 13 | 12.5 | 0.578947 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
a9fe7849e3e41ade9040728be211af4fae0abfac | 190 | py | Python | leprikon/admin/printsetup.py | leprikon-cz/leprikon | b1bec36fb6bcf0220bffccca53b6f200f9e95910 | [
"BSD-3-Clause"
] | 4 | 2018-10-29T17:46:09.000Z | 2021-12-16T08:57:48.000Z | leprikon/admin/printsetup.py | leprikon-cz/leprikon | b1bec36fb6bcf0220bffccca53b6f200f9e95910 | [
"BSD-3-Clause"
] | 68 | 2016-07-11T07:48:54.000Z | 2022-03-18T01:32:06.000Z | leprikon/admin/printsetup.py | leprikon-cz/leprikon | b1bec36fb6bcf0220bffccca53b6f200f9e95910 | [
"BSD-3-Clause"
] | 2 | 2016-07-12T20:39:53.000Z | 2020-10-10T03:14:42.000Z | from django.contrib import admin
from ..models.printsetup import PrintSetup
@admin.register(PrintSetup)
class PrintSetupAdmin(admin.ModelAdmin):
list_display = ("name", "background")
| 21.111111 | 42 | 0.778947 | 21 | 190 | 7 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.115789 | 190 | 8 | 43 | 23.75 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0.073684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.8 | 0.2 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
e712b44afe1630d6006fda9023f8662770951398 | 217 | py | Python | Exams/Exam_16_August_2020_TAKE_3/project/hardware/heavy_hardware.py | MNikov/Python-OOP-October-2020 | a53e4555758ec810605e31e7b2c71b65c49b2332 | [
"MIT"
] | 1 | 2021-05-27T07:59:17.000Z | 2021-05-27T07:59:17.000Z | Exams/Exam_16_August_2020_TAKE_3/project/hardware/heavy_hardware.py | MNikov/Python-OOP-October-2020 | a53e4555758ec810605e31e7b2c71b65c49b2332 | [
"MIT"
] | null | null | null | Exams/Exam_16_August_2020_TAKE_3/project/hardware/heavy_hardware.py | MNikov/Python-OOP-October-2020 | a53e4555758ec810605e31e7b2c71b65c49b2332 | [
"MIT"
] | null | null | null | from project.hardware.hardware import Hardware
class HeavyHardware(Hardware):
def __init__(self, name: str, capacity: int, memory: int):
super().__init__(name, 'Heavy', capacity * 2, int(memory * 0.75))
| 31 | 73 | 0.700461 | 28 | 217 | 5.142857 | 0.678571 | 0.125 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.022099 | 0.165899 | 217 | 6 | 74 | 36.166667 | 0.773481 | 0 | 0 | 0 | 0 | 0 | 0.023041 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
e721e039e5f878e53b6c91a8fcf503bcdb6dde1f | 183 | py | Python | ctapipe/calib/__init__.py | watsonjj/ctapipe | fc98748d7a38f50040f1fbe3ce5e174ad8c0ba0a | [
"BSD-3-Clause"
] | 53 | 2015-06-23T15:24:20.000Z | 2021-09-23T22:30:58.000Z | ctapipe/calib/__init__.py | watsonjj/ctapipe | fc98748d7a38f50040f1fbe3ce5e174ad8c0ba0a | [
"BSD-3-Clause"
] | 1,537 | 2015-06-24T11:27:16.000Z | 2022-03-31T16:17:08.000Z | ctapipe/calib/__init__.py | watsonjj/ctapipe | fc98748d7a38f50040f1fbe3ce5e174ad8c0ba0a | [
"BSD-3-Clause"
] | 275 | 2015-07-09T14:09:28.000Z | 2022-03-17T22:25:51.000Z | # Licensed under a 3-clause BSD style license - see LICENSE.rst
"""
Calibration
"""
from .camera import CameraCalibrator, GainSelector
__all__ = ["CameraCalibrator", "GainSelector"]
| 22.875 | 63 | 0.759563 | 20 | 183 | 6.75 | 0.85 | 0.414815 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006289 | 0.131148 | 183 | 7 | 64 | 26.142857 | 0.842767 | 0.404372 | 0 | 0 | 0 | 0 | 0.277228 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 0 | 4 |
e73a7575d92f73458546db629ee5ef34f518f3da | 494 | py | Python | pypy/objspace/flow/test/test___import__.py | camillobruni/pygirl | ddbd442d53061d6ff4af831c1eab153bcc771b5a | [
"MIT"
] | 12 | 2016-01-06T07:10:28.000Z | 2021-05-13T23:02:02.000Z | pypy/objspace/flow/test/test___import__.py | camillobruni/pygirl | ddbd442d53061d6ff4af831c1eab153bcc771b5a | [
"MIT"
] | null | null | null | pypy/objspace/flow/test/test___import__.py | camillobruni/pygirl | ddbd442d53061d6ff4af831c1eab153bcc771b5a | [
"MIT"
] | 2 | 2016-07-29T07:09:50.000Z | 2016-10-16T08:50:26.000Z | from py.test import raises
def test___import_():
import os
mod = os.name
raises(TypeError, __import__, ())
assert __import__(mod).__name__ == os.name
assert __import__(mod, None).__name__ == os.name
assert __import__(mod, None, None).__name__ == os.name
assert __import__(mod, None, None, None).__name__ == os.name
raises(TypeError, __import__, (mod, None, None, None, None))
# XXX this will have to be adjusted for Python 2.5 pretty soon-ish :-) | 41.166667 | 74 | 0.672065 | 68 | 494 | 4.235294 | 0.382353 | 0.166667 | 0.208333 | 0.166667 | 0.597222 | 0.329861 | 0.329861 | 0.243056 | 0.243056 | 0 | 0 | 0.005128 | 0.210526 | 494 | 12 | 74 | 41.166667 | 0.733333 | 0.137652 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.4 | 1 | 0.1 | false | 0 | 0.9 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
e74e7859d83a2dcccb795d04e67c571d2f8b8f50 | 43,283 | py | Python | oops_fhir/r4/code_system/v3_observation_interpretation.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/code_system/v3_observation_interpretation.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | oops_fhir/r4/code_system/v3_observation_interpretation.py | Mikuana/oops_fhir | 77963315d123756b7d21ae881f433778096a1d25 | [
"MIT"
] | null | null | null | from pathlib import Path
from fhir.resources.codesystem import CodeSystem
from oops_fhir.utils import CodeSystemConcept
__all__ = ["v3ObservationInterpretation"]
_resource = CodeSystem.parse_file(Path(__file__).with_suffix(".json"))
class v3ObservationInterpretation:
"""
v3 Code System ObservationInterpretation
One or more codes providing a rough qualitative interpretation of the
observation, such as "normal" / "abnormal", "low" / "high", "better" /
"worse", "resistant" / "susceptible", "expected" / "not expected". The
value set is intended to be for ANY use where coded representation of an
interpretation is needed.
Status: active - Version: 2018-08-12
Copyright None
http://terminology.hl7.org/CodeSystem/v3-ObservationInterpretation
"""
underscore_genetic_observation_interpretation = CodeSystemConcept(
{
"code": "_GeneticObservationInterpretation",
"concept": [
{
"code": "CAR",
"definition": "The patient is considered as carrier based on the testing results. A carrier is an individual who carries an altered form of a gene which can lead to having a child or offspring in future generations with a genetic disorder.",
"display": "Carrier",
},
{
"code": "Carrier",
"definition": 'The patient is considered as carrier based on the testing results. A carrier is an individual who carries an altered form of a gene which can lead to having a child or offspring in future generations with a genetic disorder.\r\n\n \n \n Deprecation Comment: \n This code is currently the same string as the print name for this concept and is inconsistent with the conventions being used for the other codes in the coding system, as it is a full word with initial capitalization, rather than an all upper case mnemonic. The recommendation from OO is to deprecate the code "Carrier" and to add "CAR" as the new active code representation for this concept.',
"display": "Carrier",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2013-07-28"},
],
},
],
"definition": 'Codes that specify interpretation of genetic analysis, such as "positive", "negative", "carrier", "responsive", etc.',
"display": "GeneticObservationInterpretation",
"property": [{"code": "notSelectable", "valueBoolean": True}],
}
)
"""
GeneticObservationInterpretation
Codes that specify interpretation of genetic analysis, such as "positive", "negative", "carrier", "responsive", etc.
"""
underscore_observation_interpretation_change = CodeSystemConcept(
{
"code": "_ObservationInterpretationChange",
"concept": [
{
"code": "B",
"definition": "The current result or observation value has improved compared to the previous result or observation value (the change is significant as defined in the respective test procedure).\r\n\n [Note: This can be applied to quantitative or qualitative observations.]",
"display": "Better",
},
{
"code": "D",
"definition": "The current result has decreased from the previous result for a quantitative observation (the change is significant as defined in the respective test procedure).",
"display": "Significant change down",
},
{
"code": "U",
"definition": "The current result has increased from the previous result for a quantitative observation (the change is significant as defined in the respective test procedure).",
"display": "Significant change up",
},
{
"code": "W",
"definition": "The current result or observation value has degraded compared to the previous result or observation value (the change is significant as defined in the respective test procedure).\r\n\n [Note: This can be applied to quantitative or qualitative observations.]",
"display": "Worse",
},
],
"definition": "Interpretations of change of quantity and/or severity. At most one of B or W and one of U or D allowed.",
"display": "ObservationInterpretationChange",
"property": [{"code": "notSelectable", "valueBoolean": True}],
}
)
"""
ObservationInterpretationChange
Interpretations of change of quantity and/or severity. At most one of B or W and one of U or D allowed.
"""
underscore_observation_interpretation_exceptions = CodeSystemConcept(
{
"code": "_ObservationInterpretationExceptions",
"concept": [
{
"code": "<",
"definition": "The result is below the minimum detection limit (the test procedure or equipment is the limiting factor).\r\n\n Synonyms: Below analytical limit, low off scale.",
"display": "Off scale low",
},
{
"code": ">",
"definition": "The result is above the maximum quantifiable limit (the test procedure or equipment is the limiting factor).\r\n\n Synonyms: Above analytical limit, high off scale.",
"display": "Off scale high",
},
{
"code": "AC",
"definition": 'A valid result cannot be obtained for the specified component / analyte due to the presence of anti-complementary substances in the sample.\r\n\n \n \n Deprecation Comment: \n This code is being deprecated to match the status in V2 Table 0078 "Interpretation Codes.',
"display": "Anti-complementary substances present",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2016-11-10"},
],
},
{
"code": "IE",
"definition": 'There is insufficient evidence that the species in question is a good target for therapy with the drug. A categorical interpretation is not possible.\r\n\n [Note: A MIC with "IE" and/or a comment may be reported (without an accompanying S, I or R-categorization).]',
"display": "Insufficient evidence",
},
{
"code": "QCF",
"definition": 'A result cannot be considered valid for the specified component / analyte or organism due to failure in the quality control testing component.\r\n\n \n \n Deprecation Comment: \n This code is being deprecated to match the status in V2 Table 0078 "Interpretation Codes.',
"display": "Quality control failure",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2016-11-10"},
],
},
{
"code": "TOX",
"definition": 'A valid result cannot be obtained for the specified organism or cell line due to the presence of cytotoxic substances in the sample or culture.\r\n\n \n \n Deprecation Comment: \n This code is being deprecated to match the status in V2 Table 0078 "Interpretation Codes.',
"display": "Cytotoxic substance present",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2016-11-10"},
],
},
],
"definition": "Technical exceptions resulting in the inability to provide an interpretation. At most one allowed. Does not imply normality or severity.",
"display": "ObservationInterpretationExceptions",
"property": [{"code": "notSelectable", "valueBoolean": True}],
}
)
"""
ObservationInterpretationExceptions
Technical exceptions resulting in the inability to provide an interpretation. At most one allowed. Does not imply normality or severity.
"""
underscore_observation_interpretation_normality = CodeSystemConcept(
{
"code": "_ObservationInterpretationNormality",
"concept": [
{
"code": "A",
"concept": [
{
"code": "AA",
"concept": [
{
"code": "HH",
"definition": "The result for a quantitative observation is above a reference level at which immediate action should be considered for patient safety (as defined for the respective test procedure).\r\n\n Synonym: Above upper panic limits.",
"display": "Critical high",
},
{
"code": "LL",
"definition": "The result for a quantitative observation is below a reference level at which immediate action should be considered for patient safety (as defined for the respective test procedure).\r\n\n Synonym: Below lower panic limits.",
"display": "Critical low",
},
],
"definition": "The result or observation value is outside a reference range or expected norm at a level at which immediate action should be considered for patient safety (as defined for the respective test procedure).\r\n\n [Note: Typically applies to non-numeric results. Analogous to critical/panic limits for numeric results.]",
"display": "Critical abnormal",
},
{
"code": "H",
"concept": [
{
"code": "H>",
"definition": "A test result that is significantly higher than the reference (normal) or therapeutic interval, but has not reached the critically high value and might need special attention, as defined by the laboratory or the clinician.[Note: This level is situated between 'H' and 'HH'.]\r\n\n \n Deprecation Comment: The code 'H>' is being deprecated in order to align with the use of the code 'HU' for \"Very high\" in V2 Table 0078 \"Interpretation Codes\".\r\n\n [Note: The use of code 'H>' is non-preferred, as this code is deprecated and on track to be retired; use code 'HU' instead.",
"display": "Significantly high",
"property": [
{"code": "status", "valueCode": "deprecated"},
{
"code": "deprecationDate",
"valueDateTime": "2015-03-23",
},
{"code": "child", "valueCode": "HH"},
],
},
{
"code": "HU",
"definition": "A test result that is significantly higher than the reference (normal) or therapeutic interval, but has not reached the critically high value and might need special attention, as defined by the laboratory or the clinician.",
"display": "Significantly high",
"property": [{"code": "child", "valueCode": "HH"}],
},
],
"definition": "The result for a quantitative observation is above the upper limit of the reference range (as defined for the respective test procedure).\r\n\n Synonym: Above high normal",
"display": "High",
},
{
"code": "L",
"concept": [
{
"code": "L<",
"definition": "A test result that is significantly lower than the reference (normal) or therapeutic interval, but has not reached the critically low value and might need special attention, as defined by the laboratory or the clinician.[Note: This level is situated between 'L' and 'LL'.]\r\n\n \n Deprecation Comment: The code 'L<' is being deprecated in order to align with the use of the code 'LU' for \"Very low\" in V2 Table 0078 \"Interpretation Codes\".\r\n\n [Note: The use of code 'L<' is non-preferred, as this code is deprecated and on track to be retired; use code 'LU' instead.",
"display": "Significantly low",
"property": [
{"code": "status", "valueCode": "deprecated"},
{
"code": "deprecationDate",
"valueDateTime": "2015-03-23",
},
{"code": "child", "valueCode": "LL"},
],
},
{
"code": "LU",
"definition": "A test result that is significantly lower than the reference (normal) or therapeutic interval, but has not reached the critically low value and might need special attention, as defined by the laboratory or the clinician.",
"display": "Significantly low",
"property": [{"code": "child", "valueCode": "LL"}],
},
],
"definition": "The result for a quantitative observation is below the lower limit of the reference range (as defined for the respective test procedure).\r\n\n Synonym: Below low normal",
"display": "Low",
},
],
"definition": "The result or observation value is outside the reference range or expected norm (as defined for the respective test procedure).\r\n\n [Note: Typically applies to non-numeric results.]",
"display": "Abnormal",
},
{
"code": "N",
"definition": "The result or observation value is within the reference range or expected norm (as defined for the respective test procedure).\r\n\n [Note: Applies to numeric or non-numeric results.]",
"display": "Normal",
},
],
"definition": 'Interpretation of normality or degree of abnormality (including critical or "alert" level). Concepts in this category are mutually exclusive, i.e., at most one is allowed.',
"display": "ObservationInterpretationNormality",
"property": [{"code": "notSelectable", "valueBoolean": True}],
}
)
"""
ObservationInterpretationNormality
Interpretation of normality or degree of abnormality (including critical or "alert" level). Concepts in this category are mutually exclusive, i.e., at most one is allowed.
"""
underscore_observation_interpretation_susceptibility = CodeSystemConcept(
{
"code": "_ObservationInterpretationSusceptibility",
"concept": [
{
"code": "I",
"definition": 'Bacterial strain inhibited in vitro by a concentration of an antimicrobial agent that is associated with uncertain therapeutic effect. Reference: CLSI (http://www.clsi.org/Content/NavigationMenu/Resources/HarmonizedTerminologyDatabase/Harmonized_Terminolo.htm)\nProjects: ISO 20776-1, ISO 20776-2\r\n\n [Note 1: Bacterial strains are categorized as intermediate by applying the appropriate breakpoints in a defined phenotypic test system.]\r\n\n [Note 2: This class of susceptibility implies that an infection due to the isolate can be appropriately treated in body sites where the drugs are physiologically concentrated or when a high dosage of drug can be used.]\r\n\n [Note 3: This class also indicates a "buffer zone," to prevent small, uncontrolled, technical factors from causing major discrepancies in interpretations.]\r\n\n [Note 4: These breakpoints can be altered due to changes in circumstances (e.g., changes in commonly used drug dosages, emergence of new resistance mechanisms).]',
"display": "Intermediate",
},
{
"code": "MS",
"definition": "The patient is considered as carrier based on the testing results. A carrier is an individual who carries an altered form of a gene which can lead to having a child or offspring in future generations with a genetic disorder.\r\n\n \n \n Deprecation Comment: \n This antimicrobial susceptibility test interpretation concept is recommended by OO to be deprecated as it is no longer recommended for use in susceptibility testing by CLSI (reference CLSI document M100-S22; Vol. 32 No.3; CLSI Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Second Informational Supplement. Jan 2012).",
"display": "moderately susceptible",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2013-07-28"},
],
},
{
"code": "NCL",
"definition": "Use when not enough clinical trial data published by the Clinical and Laboratory Standards Institutes (CLSI) is available to establish the breakpoints for susceptible / intermediate and resistant.",
"display": "No CLSI defined breakpoint",
},
{
"code": "NS",
"definition": 'A category used for isolates for which only a susceptible interpretive criterion has been designated because of the absence or rare occurrence of resistant strains. Isolates that have MICs above or zone diameters below the value indicated for the susceptible breakpoint should be reported as non-susceptible.\r\n\n NOTE 1: An isolate that is interpreted as non-susceptible does not necessarily mean that the isolate has a resistance mechanism. It is possible that isolates with MICs above the susceptible breakpoint that lack resistance mechanisms may be encountered within the wild-type distribution subsequent to the time the susceptible-only breakpoint is set. \r\n\n NOTE 2: For strains yielding results in the "nonsusceptible" category, organism identification and antimicrobial susceptibility test results should be confirmed.\r\n\n Synonym: decreased susceptibility.',
"display": "Non-susceptible",
},
{
"code": "R",
"concept": [
{
"code": "SYN-R",
"definition": "A category for isolates where the bacteria (e.g. enterococci) are not susceptible in vitro to a combination therapy (e.g., high-level aminoglycoside and cell wall active agent). This is predictive that this combination therapy will not be effective. \r\n\n \n Usage Note: Since the use of penicillin or ampicillin alone often results in treatment failure of serious enterococcal or other bacterial infections, combination therapy is usually indicated to enhance bactericidal activity. The synergy between a cell wall active agent (such as penicillin, ampicillin, or vancomycin) and an aminoglycoside (such as gentamicin, kanamycin or streptomycin) is best predicted by screening for high-level bacterial resistance to the aminoglycoside.\r\n\n \n Open Issue: The print name of the code is very general and the description is very specific to a pair of classes of agents, which may lead to confusion of these concepts in the future should other synergies be found.",
"display": "Synergy - resistant",
}
],
"definition": "Bacterial strain inhibited in vitro by a concentration of an antimicrobial agent that is associated with a high likelihood of therapeutic failure.\nReference: CLSI (http://www.clsi.org/Content/NavigationMenu/Resources/HarmonizedTerminologyDatabase/Harmonized_Terminolo.htm) \nProjects: ISO 20776-1, ISO 20776-2\r\n\n [Note 1: Bacterial strains are categorized as resistant by applying the appropriate breakpoints in a defined phenotypic test system.]\r\n\n [Note 2: This breakpoint can be altered due to changes in circumstances (e.g., changes in commonly used drug dosages, emergence of new resistance mechanisms).]",
"display": "Resistant",
},
{
"code": "S",
"concept": [
{
"code": "SDD",
"definition": 'A category that includes isolates with antimicrobial agent minimum inhibitory concentrations (MICs) that approach usually attainable blood and tissue levels and for which response rates may be lower than for susceptible isolates.\r\n\n Reference: CLSI document M44-A2 2009 "Method for antifungal disk diffusion susceptibility testing of yeasts; approved guideline - second edition" - page 2.',
"display": "Susceptible-dose dependent",
},
{
"code": "SYN-S",
"definition": "A category for isolates where the bacteria (e.g. enterococci) are susceptible in vitro to a combination therapy (e.g., high-level aminoglycoside and cell wall active agent). This is predictive that this combination therapy will be effective. \r\n\n \n Usage Note: Since the use of penicillin or ampicillin alone often results in treatment failure of serious enterococcal or other bacterial infections, combination therapy is usually indicated to enhance bactericidal activity. The synergy between a cell wall active agent (such as penicillin, ampicillin, or vancomycin) and an aminoglycoside (such as gentamicin, kanamycin or streptomycin) is best predicted by screening for high-level bacterial resistance to the aminoglycoside.\r\n\n \n Open Issue: The print name of the code is very general and the description is very specific to a pair of classes of agents, which may lead to confusion of these concepts in the future should other synergies be found.",
"display": "Synergy - susceptible",
},
],
"definition": "Bacterial strain inhibited by in vitro concentration of an antimicrobial agent that is associated with a high likelihood of therapeutic success.\nReference: CLSI (http://www.clsi.org/Content/NavigationMenu/Resources/HarmonizedTerminologyDatabase/Harmonized_Terminolo.htm)\nSynonym (earlier term): Sensitive Projects: ISO 20776-1, ISO 20776-2\r\n\n [Note 1: Bacterial strains are categorized as susceptible by applying the appropriate breakpoints in a defined phenotypic system.]\r\n\n [Note 2: This breakpoint can be altered due to changes in circumstances (e.g., changes in commonly used drug dosages, emergence of new resistance mechanisms).]",
"display": "Susceptible",
},
{
"code": "VS",
"definition": "The patient is considered as carrier based on the testing results. A carrier is an individual who carries an altered form of a gene which can lead to having a child or offspring in future generations with a genetic disorder.\r\n\n \n \n Deprecation Comment: \n This antimicrobial susceptibility test interpretation concept is recommended by OO to be deprecated as it is no longer recommended for use in susceptibility testing by CLSI (reference CLSI document M100-S22; Vol. 32 No.3; CLSI Performance Standards for Antimicrobial Susceptibility Testing; Twenty-Second Informational Supplement. Jan 2012).",
"display": "very susceptible",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2013-07-28"},
],
},
],
"definition": "Interpretations of anti-microbial susceptibility testing results (microbiology). At most one allowed.",
"display": "ObservationInterpretationSusceptibility",
"property": [
{"code": "notSelectable", "valueBoolean": True},
{"code": "child", "valueCode": "IE"},
],
}
)
"""
ObservationInterpretationSusceptibility
Interpretations of anti-microbial susceptibility testing results (microbiology). At most one allowed.
"""
ex = CodeSystemConcept(
{
"code": "EX",
"concept": [
{
"code": "HX",
"definition": 'The observation/test result is interpreted as being outside the inclusion range for a particular protocol within which the result is being reported.\n\r\n\n Example: A positive result on a Hepatitis screening test.\n Open Issue: EX, HX, LX: These three concepts do not seem to meet a clear need in the vocabulary, and their use in observation interpretation appears likely to be covered by other existing concepts (e.g., A, H, L). The only apparent significant difference is their reference to use in protocols for exclusion of study subjects. These concepts/codes were proposed by RCRIM for use in the CTLaboratory message. They were submitted and approved in the November 2005 Harmonization cycle in proposal "030103C_VOCAB_RCRIM_l_quade_RCRIM Obs Interp_20051028154455". However, this proposal was not fully implemented in the vocabulary. The proposal recommended creation of the x_ClinicalResearchExclusion domain in ObservationInterpretation with a value set including those three concepts/codes, but there is no subdomain of that name or equivalent with a binding to either of the value sets that contain these concepts/codes. Members of the OO WG have recently attempted to contact members of RCRIM regarding these concepts, both by email and at the recent WGM in Atlanta, without response. It is felt by OO that the best course of action to take at this time is to add this comprehensive Open Issue rather than deprecate these three concepts at this time, until further discussion is held.',
"display": "above high threshold",
},
{
"code": "LX",
"definition": 'The numeric observation/test result is interpreted as being below the low threshold value for a particular protocol within which the result is being reported.\r\n\n Example: A Total White Blood Cell Count falling below a protocol-defined threshold value of 3000/mm^3\n Open Issue: EX, HX, LX: These three concepts do not seem to meet a clear need in the vocabulary, and their use in observation interpretation appears likely to be covered by other existing concepts (e.g., A, H, L). The only apparent significant difference is their reference to use in protocols for exclusion of study subjects. These concepts/codes were proposed by RCRIM for use in the CTLaboratory message. They were submitted and approved in the November 2005 Harmonization cycle in proposal "030103C_VOCAB_RCRIM_l_quade_RCRIM Obs Interp_20051028154455". However, this proposal was not fully implemented in the vocabulary. The proposal recommended creation of the x_ClinicalResearchExclusion domain in ObservationInterpretation with a value set including those three concepts/codes, but there is no subdomain of that name or equivalent with a binding to either of the value sets that contain these concepts/codes. Members of the OO WG have recently attempted to contact members of RCRIM regarding these concepts, both by email and at the recent WGM in Atlanta, without response. It is felt by OO that the best course of action to take at this time is to add this comprehensive Open Issue rather than deprecate these three concepts at this time, until further discussion is held.',
"display": "below low threshold",
},
],
"definition": 'The observation/test result is interpreted as being outside the inclusion range for a particular protocol within which the result is being reported.\n\r\n\n Example: A positive result on a Hepatitis screening test.\n Open Issue: EX, HX, LX: These three concepts do not seem to meet a clear need in the vocabulary, and their use in observation interpretation appears likely to be covered by other existing concepts (e.g., A, H, L). The only apparent significant difference is their reference to use in protocols for exclusion of study subjects.\nThese concepts/codes were proposed by RCRIM for use in the CTLaboratory message. They were submitted and approved in the November 2005 Harmonization cycle in proposal "030103C_VOCAB_RCRIM_l_quade_RCRIM Obs Interp_20051028154455". However, this proposal was not fully implemented in the vocabulary. The proposal recommended creation of the x_ClinicalResearchExclusion domain in ObservationInterpretation with a value set including those three concepts/codes, but there is no subdomain of that name or equivalent with a binding to either of the value sets that contain these concepts/codes.\nMembers of the OO WG have recently attempted to contact members of RCRIM regarding these concepts, both by email and at the recent WGM in Atlanta, without response. It is felt by OO that the best course of action to take at this time is to add this comprehensive Open Issue rather than deprecate these three concepts at this time, until further discussion is held.',
"display": "outside threshold",
}
)
"""
outside threshold
The observation/test result is interpreted as being outside the inclusion range for a particular protocol within which the result is being reported.
Example: A positive result on a Hepatitis screening test.
Open Issue: EX, HX, LX: These three concepts do not seem to meet a clear need in the vocabulary, and their use in observation interpretation appears likely to be covered by other existing concepts (e.g., A, H, L). The only apparent significant difference is their reference to use in protocols for exclusion of study subjects.
These concepts/codes were proposed by RCRIM for use in the CTLaboratory message. They were submitted and approved in the November 2005 Harmonization cycle in proposal "030103C_VOCAB_RCRIM_l_quade_RCRIM Obs Interp_20051028154455". However, this proposal was not fully implemented in the vocabulary. The proposal recommended creation of the x_ClinicalResearchExclusion domain in ObservationInterpretation with a value set including those three concepts/codes, but there is no subdomain of that name or equivalent with a binding to either of the value sets that contain these concepts/codes.
Members of the OO WG have recently attempted to contact members of RCRIM regarding these concepts, both by email and at the recent WGM in Atlanta, without response. It is felt by OO that the best course of action to take at this time is to add this comprehensive Open Issue rather than deprecate these three concepts at this time, until further discussion is held.
"""
hm = CodeSystemConcept(
{
"code": "HM",
"definition": 'Hold for Medical Review\r\n\n \n Usage Note: This code is not intended for use in V3 artifacts. It is included in the code system to maintain alignment with the V2 Table 0078 "Interpretation Codes."',
"display": "Hold for Medical Review",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2016-11-10"},
],
}
)
"""
Hold for Medical Review
Hold for Medical Review
Usage Note: This code is not intended for use in V3 artifacts. It is included in the code system to maintain alignment with the V2 Table 0078 "Interpretation Codes."
"""
observation_interpretation_detection = CodeSystemConcept(
{
"code": "ObservationInterpretationDetection",
"concept": [
{
"code": "IND",
"concept": [
{
"code": "E",
"definition": "The test or procedure was successfully performed, but the results are borderline and can neither be declared positive / negative nor detected / not detected according to the current established criteria.",
"display": "Equivocal",
}
],
"definition": 'The specified component / analyte, organism or clinical sign could neither be declared positive / negative nor detected / not detected by the performed test or procedure.\r\n\n \n Usage Note: For example, if the specimen was degraded, poorly processed, or was missing the required anatomic factory, then "indeterminate" (i.e. "cannot be determined") is the appropriate response, not "equivocal".',
"display": "Indeterminate",
},
{
"code": "NEG",
"concept": [
{
"code": "ND",
"definition": "The presence of the specified component / analyte, organism or clinical sign could not be determined within the limit of detection of the performed test or procedure.",
"display": "Not detected",
}
],
"definition": "An absence finding of the specified component / analyte, organism or clinical sign based on the established threshold of the performed test or procedure.\r\n\n [Note: Negative does not necessarily imply the complete absence of the specified item.]",
"display": "Negative",
},
{
"code": "POS",
"concept": [
{
"code": "DET",
"definition": "The measurement of the specified component / analyte, organism or clinical sign above the limit of detection of the performed test or procedure.",
"display": "Detected",
}
],
"definition": "A presence finding of the specified component / analyte, organism or clinical sign based on the established threshold of the performed test or procedure.",
"display": "Positive",
},
],
"definition": 'Interpretations of the presence or absence of a component / analyte or organism in a test or of a sign in a clinical observation. In keeping with laboratory data processing practice, these concepts provide a categorical interpretation of the "meaning" of the quantitative value for the same observation.',
"display": "ObservationInterpretationDetection",
"property": [{"code": "notSelectable", "valueBoolean": True}],
}
)
"""
ObservationInterpretationDetection
Interpretations of the presence or absence of a component / analyte or organism in a test or of a sign in a clinical observation. In keeping with laboratory data processing practice, these concepts provide a categorical interpretation of the "meaning" of the quantitative value for the same observation.
"""
observation_interpretation_expectation = CodeSystemConcept(
{
"code": "ObservationInterpretationExpectation",
"concept": [
{
"code": "EXP",
"definition": 'This result has been evaluated in light of known contraindicators. Once those contraindicators have been taken into account the result is determined to be "Expected" (e.g., presence of drugs in a patient that is taking prescription medication for pain management).',
"display": "Expected",
},
{
"code": "UNE",
"definition": 'This result has been evaluated in light of known contraindicators. Once those contraindicators have been taken into account the result is determined to be "Unexpected" (e.g., presence of non-prescribed drugs in a patient that is taking prescription medication for pain management).',
"display": "Unexpected",
},
],
"definition": "Interpretation of the observed result taking into account additional information (contraindicators) about the patient's situation. Concepts in this category are mutually exclusive, i.e., at most one is allowed.",
"display": "ObservationInterpretationExpectation",
"property": [{"code": "notSelectable", "valueBoolean": True}],
}
)
"""
ObservationInterpretationExpectation
Interpretation of the observed result taking into account additional information (contraindicators) about the patient's situation. Concepts in this category are mutually exclusive, i.e., at most one is allowed.
"""
obx = CodeSystemConcept(
{
"code": "OBX",
"definition": 'Interpretation qualifiers in separate OBX segments\r\n\n \n Usage Note: This code is not intended for use in V3 artifacts. It is included in the code system to maintain alignment with the V2 Table 0078 "Interpretation Codes."',
"display": "Interpretation qualifiers in separate OBX segments",
"property": [
{"code": "status", "valueCode": "deprecated"},
{"code": "deprecationDate", "valueDateTime": "2016-11-10"},
],
}
)
"""
Interpretation qualifiers in separate OBX segments
Interpretation qualifiers in separate OBX segments
Usage Note: This code is not intended for use in V3 artifacts. It is included in the code system to maintain alignment with the V2 Table 0078 "Interpretation Codes."
"""
reactivity_observation_interpretation = CodeSystemConcept(
{
"code": "ReactivityObservationInterpretation",
"concept": [
{
"code": "NR",
"definition": "An absence finding used to indicate that the specified component / analyte did not react measurably with the reagent.",
"display": "Non-reactive",
},
{
"code": "RR",
"concept": [
{
"code": "WR",
"definition": "A weighted presence finding used to indicate that the specified component / analyte reacted with the reagent, but below the reliably measurable limit of the performed test.",
"display": "Weakly reactive",
}
],
"definition": "A presence finding used to indicate that the specified component / analyte reacted with the reagent above the reliably measurable limit of the performed test.",
"display": "Reactive",
},
],
"definition": "Interpretations of the presence and level of reactivity of the specified component / analyte with the reagent in the performed laboratory test.",
"display": "ReactivityObservationInterpretation",
"property": [{"code": "notSelectable", "valueBoolean": True}],
}
)
"""
ReactivityObservationInterpretation
Interpretations of the presence and level of reactivity of the specified component / analyte with the reagent in the performed laboratory test.
"""
class Meta:
resource = _resource
| 83.881783 | 1,642 | 0.590578 | 4,651 | 43,283 | 5.480972 | 0.15115 | 0.005178 | 0.005296 | 0.005217 | 0.734387 | 0.706065 | 0.698611 | 0.695198 | 0.687941 | 0.663267 | 0 | 0.01124 | 0.340203 | 43,283 | 515 | 1,643 | 84.04466 | 0.881399 | 0.011344 | 0 | 0.2343 | 0 | 0.137681 | 0.702842 | 0.026289 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.007246 | 0 | 0.038647 | 0.007246 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
e753112dc2148b961e629a06ae87375f4b5b68e4 | 10,606 | py | Python | wiki/views.py | cusele/DB_OPS | f666bc56844cb6985937314190508ed393ce2171 | [
"Apache-2.0"
] | null | null | null | wiki/views.py | cusele/DB_OPS | f666bc56844cb6985937314190508ed393ce2171 | [
"Apache-2.0"
] | null | null | null | wiki/views.py | cusele/DB_OPS | f666bc56844cb6985937314190508ed393ce2171 | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
import time,os
from django.shortcuts import render
from django.contrib.auth.decorators import permission_required
from django.contrib.auth.decorators import login_required
from wiki.models import Tag,Post,Category
from django.contrib.auth.models import User
from OpsManage.utils.logger import logger
from OpsManage.utils import base
# Create your views here.
from django.http import HttpResponse,JsonResponse
from django.views.decorators.csrf import csrf_exempt
@login_required()
@permission_required('OpsManage.can_add_wiki_post',login_url='/noperm/')
def article_add(request):
if request.method == "GET":
tagList = Tag.objects.all()
categoryList = Category.objects.all()
return render(request,'wiki/wiki_post.html',{"user":request.user,"tagList":tagList,"categoryList":categoryList})
elif request.method == "POST":
title = request.POST.get('title')
content = request.POST.get('content')
category = request.POST.get('category')
tags = request.POST.getlist('tag[]')
try:
category = Category.objects.get(id=category)
except Exception ,ex:
logger.warn(msg="获取分类失败: {ex}".format(ex=str(ex)))
return JsonResponse({'msg':"获取分类失败: {ex}".format(ex=str(ex)),"code":500,'data':[]})
try:
article = Post.objects.create(title=title,content=content,category=category,
author=User.objects.get(username=request.user))
except Exception ,ex:
logger.warn(msg="创建文章失败: {ex}".format(ex=str(ex)))
return JsonResponse({'msg':"创建文章失败: {ex}".format(ex=str(ex)),"code":500,'data':[]})
try:
for tg in tags:
tag = Tag.objects.get(id=tg)
article.tags.add(tag)
except Exception ,ex:
logger.warn(msg="创建文章标签失败: {ex}".format(ex=str(ex)))
return JsonResponse({'msg':"文章添加成功","code":200,'data':[]})
@login_required()
@csrf_exempt
def upload_image(request):
if request.method == 'POST':
f = request.FILES["upload"]
callback = request.GET.get('CKEditorFuncNum','1')
if f:
try:
datePath = time.strftime("%Y/%m/%d/",time.localtime())
path = os.getcwd() + "/upload/wiki/" + datePath
filePath = path + f.name
if os.path.isdir(os.path.dirname(filePath)) is not True:os.makedirs(os.path.dirname(filePath))
with open(filePath, 'wb+') as destination:
for chunk in f.chunks():
destination.write(chunk)
except Exception, ex:
logger.error(msg="上传图片失败: {ex}".format(ex=ex))
res = "<script>window.parent.CKEDITOR.tools.callFunction("+callback+",'/"+ 'wiki/upload/' + datePath + f.name +"', '');</script>"
return HttpResponse (res)
else:
return JsonResponse({'msg':"图片上传失败","code":500,'data':[]})
@login_required()
@permission_required('OpsManage.can_edit_wiki_post',login_url='/noperm/')
def article_edit(request,pid):
try:
article = Post.objects.select_related().get(id=pid)
except Exception,ex:
logger.error(msg="文章不存在: {ex}".format(ex=ex))
return render(request,'wiki/wiki_edit.html',{"user":request.user,"errorInfo":ex})
if request.method == "GET":
tagList = Tag.objects.all()
categoryList = Category.objects.all()
article.tag = [ t.id for t in article.tags.all() ]
return render(request,'wiki/wiki_edit.html',{"user":request.user,"tagList":tagList,"categoryList":categoryList,"article":article})
elif request.method == "POST":
title = request.POST.get('title')
content = request.POST.get('content')
category = request.POST.get('category')
tags = request.POST.getlist('tag[]')
try:
category = Category.objects.get(id=category)
except Exception ,ex:
logger.warn(msg="获取分类失败: {ex}".format(ex=str(ex)))
return JsonResponse({'msg':"获取分类失败: {ex}".format(ex=str(ex)),"code":500,'data':[]})
try:
Post.objects.filter(id=pid).update(title=title,content=content,category=category,
author=User.objects.get(username=request.user))
except Exception ,ex:
logger.warn(msg="更新文章失败: {ex}".format(ex=str(ex)))
return JsonResponse({'msg':"更新文章失败: {ex}".format(ex=str(ex)),"code":500,'data':[]})
try:
newTagsList = []
for tg in tags:
newTagsList.append(int(tg))
except Exception ,ex:
logger.warn(msg="获取文章标签失败: {ex}".format(ex=ex))
try:
oldTagsList = [ t.id for t in article.tags.all() ]
addTagsList = list(set(newTagsList).difference(set(oldTagsList)))
delTagsList = list(set(oldTagsList).difference(set(newTagsList)))
for tg in addTagsList:
tag = Tag.objects.get(id=tg)
article.tags.add(tag)
for tg in delTagsList:
tag = Tag.objects.get(id=tg)
article.tags.remove(tag)
except Exception ,ex:
logger.warn(msg="更新文章标签失败: {ex}".format(ex=ex))
return JsonResponse({'msg':"文章添加成功","code":200,'data':[]})
@login_required()
@permission_required('OpsManage.can_read_wiki_post',login_url='/noperm/')
def article_index(request):
tagList = Tag.objects.all()
categoryList = []
for ds in Category.objects.all():
ds.post_count = Post.objects.filter(category=ds).count()
categoryList.append(ds)
postList = Post.objects.all().order_by('-id')[:10]
dateList = Post.objects.raw('SELECT id,DATE_FORMAT( created_time, "%%Y/%%m" ) as cdate , COUNT(*) as count FROM opsmanage_wiki_post GROUP BY DATE_FORMAT( created_time, "%%Y/%%m" );')
return render(request,'wiki/wiki_base.html',{"user":request.user,"tagList":tagList,"categoryList":categoryList,"postList":postList,"dateList":dateList})
@login_required()
@permission_required('OpsManage.can_read_wiki_post',login_url='/noperm/')
def article_show(request,pid):
try:
article = Post.objects.select_related().get(id=pid)
except Exception,ex:
logger.error(msg="文章不存在: {ex}".format(ex=ex))
return render(request,'wiki/wiki_show.html',{"user":request.user,"errorInfo":ex})
if request.method == "GET":
tagList = Tag.objects.all()
categoryList = Category.objects.all()
article.tag = [ t.id for t in article.tags.all() ]
postList = Post.objects.all().order_by('-id')[:5]
categoryList = []
for ds in Category.objects.all():
ds.post_count = Post.objects.filter(category=ds).count()
categoryList.append(ds)
dateList = Post.objects.raw('SELECT id,DATE_FORMAT( created_time, "%%Y/%%m" ) as cdate , COUNT(*) as count FROM opsmanage_wiki_post GROUP BY DATE_FORMAT( created_time, "%%Y/%%m" );')
return render(request,'wiki/wiki_show.html',{"user":request.user,"tagList":tagList,
"categoryList":categoryList,"article":article,
"postList":postList,"dateList":dateList})
@login_required()
@permission_required('OpsManage.can_read_wiki_post',login_url='/noperm/')
def article_category(request,pid):
try:
category = Category.objects.get(id=pid)
except Exception,ex:
logger.warn(msg="分类不存在: {ex}".format(ex=ex))
return render(request,'wiki/wiki_base.html',{"user":request.user,"errorInfo":"分类不存在: {ex}".format(ex=ex)})
categoryList = []
for ds in Category.objects.all():
ds.post_count = Post.objects.filter(category=ds).count()
categoryList.append(ds)
postList = Post.objects.filter(category=category).order_by('-id')
dateList = Post.objects.raw('SELECT id,DATE_FORMAT( created_time, "%%Y/%%m" ) as cdate , COUNT(*) as count FROM opsmanage_wiki_post GROUP BY DATE_FORMAT( created_time, "%%Y/%%m" );')
tagList = Tag.objects.all()
return render(request,'wiki/wiki_base.html',{"user":request.user,"postList":postList,"dateList":dateList,"tagList":tagList,"categoryList":categoryList})
@login_required()
@permission_required('OpsManage.can_read_wiki_post',login_url='/noperm/')
def article_tag(request,pid):
try:
tag = Tag.objects.get(id=pid)
except Exception,ex:
logger.warn(msg="标签不存在: {ex}".format(ex=ex))
return render(request,'wiki/wiki_base.html',{"user":request.user,"errorInfo":"标签不存在: {ex}".format(ex=ex)})
categoryList = []
for ds in Category.objects.all():
ds.post_count = Post.objects.filter(category=ds).count()
categoryList.append(ds)
postList = Post.objects.filter(tags=tag.id).order_by('-id')
dateList = Post.objects.raw('SELECT id,DATE_FORMAT( created_time, "%%Y/%%m" ) as cdate , COUNT(*) as count FROM opsmanage_wiki_post GROUP BY DATE_FORMAT( created_time, "%%Y/%%m" );')
tagList = Tag.objects.all()
return render(request,'wiki/wiki_base.html',{"user":request.user,"postList":postList,"dateList":dateList,"tagList":tagList,"categoryList":categoryList})
@login_required()
@permission_required('OpsManage.can_read_wiki_post',login_url='/noperm/')
def article_archive(request,month):
try:
archiveDate = base.getMonthFirstDayAndLastDay(month.split('/')[0],month.split('/')[1])
except Exception,ex:
return render(request,'wiki/wiki_base.html',{"user":request.user,"errorInfo":"归档时间不存在: {ex}".format(ex=ex)})
categoryList = []
for ds in Category.objects.all():
ds.post_count = Post.objects.filter(category=ds).count()
categoryList.append(ds)
postList = Post.objects.raw('''SELECT * FROM opsmanage_wiki_post WHERE created_time>='{startime}' AND created_time<='{endtime}' ORDER BY id DESC;'''.format(startime=str(archiveDate[0]) +' 00:00:00',endtime=str(archiveDate[1]) + ' 23:59:59'))
dateList = Post.objects.raw('SELECT id,DATE_FORMAT( created_time, "%%Y/%%m" ) as cdate , COUNT(*) as count FROM opsmanage_wiki_post GROUP BY DATE_FORMAT( created_time, "%%Y/%%m" );')
tagList = Tag.objects.all()
return render(request,'wiki/wiki_base.html',{"user":request.user,"postList":postList,"dateList":dateList,"tagList":tagList,"categoryList":categoryList})
| 50.990385 | 245 | 0.628041 | 1,289 | 10,606 | 5.076804 | 0.138092 | 0.023227 | 0.029034 | 0.042176 | 0.767268 | 0.75871 | 0.728606 | 0.687653 | 0.651895 | 0.643032 | 0 | 0.00503 | 0.21271 | 10,606 | 207 | 246 | 51.236715 | 0.778683 | 0.004243 | 0 | 0.597884 | 0 | 0.026455 | 0.210551 | 0.028036 | 0.005291 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.058201 | null | null | 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 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
e763cb34b5a36842ed301c671043edbbebab63ae | 130 | py | Python | pyiid/experiments/elasticscatter/mpi_wrappers/__init__.py | ZhouHUB/pyIID | 6114fb5ae4388061c7aae9f5b0b2e41aa4ca4341 | [
"BSD-3-Clause"
] | null | null | null | pyiid/experiments/elasticscatter/mpi_wrappers/__init__.py | ZhouHUB/pyIID | 6114fb5ae4388061c7aae9f5b0b2e41aa4ca4341 | [
"BSD-3-Clause"
] | 13 | 2016-04-25T18:36:42.000Z | 2016-06-12T20:57:35.000Z | pyiid/experiments/elasticscatter/mpi_wrappers/__init__.py | ZhouHUB/pyIID | 6114fb5ae4388061c7aae9f5b0b2e41aa4ca4341 | [
"BSD-3-Clause"
] | null | null | null | __author__ = 'christopher'
# TODO: How to deal with multiple GPUs per Node?
# TODO: How to use all the CPU + GPU power of a Node?
| 32.5 | 53 | 0.715385 | 23 | 130 | 3.869565 | 0.826087 | 0.157303 | 0.202247 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.207692 | 130 | 3 | 54 | 43.333333 | 0.864078 | 0.753846 | 0 | 0 | 0 | 0 | 0.37931 | 0 | 0 | 0 | 0 | 0.333333 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
e77458f666f9ec612d4eec4b6be950d3ed840316 | 101 | py | Python | backend/comedianModel/apps.py | crowdbotics-apps/test14-28665 | 182788839dd9b1149196428183ee91dfd67231a3 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/comedianModel/apps.py | crowdbotics-apps/test14-28665 | 182788839dd9b1149196428183ee91dfd67231a3 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | backend/comedianModel/apps.py | crowdbotics-apps/test14-28665 | 182788839dd9b1149196428183ee91dfd67231a3 | [
"FTL",
"AML",
"RSA-MD"
] | null | null | null | from django.apps import AppConfig
class ComedianmodelConfig(AppConfig):
name = "comedianModel"
| 16.833333 | 37 | 0.782178 | 10 | 101 | 7.9 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.148515 | 101 | 5 | 38 | 20.2 | 0.918605 | 0 | 0 | 0 | 0 | 0 | 0.128713 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
e7bdba27293ceefad06ca2d67cbc5c57685f7273 | 1,714 | py | Python | bamboolean/ast.py | mlazowik/bamboolean | 9e50cce7781410d20a8440273d93b41bee5568a3 | [
"MIT"
] | null | null | null | bamboolean/ast.py | mlazowik/bamboolean | 9e50cce7781410d20a8440273d93b41bee5568a3 | [
"MIT"
] | null | null | null | bamboolean/ast.py | mlazowik/bamboolean | 9e50cce7781410d20a8440273d93b41bee5568a3 | [
"MIT"
] | null | null | null | from typing import List, Any, Union
from .lexer import Token
class AST:
"""Abstract Syntax Tree """
def tree_repr(self) -> List[Any]:
raise NotImplementedError
def __str__(self) -> str:
return str(self.tree_repr())
def __repr__(self) -> str:
return self.__str__()
class TokenBasedAST(AST):
def __init__(self, token: Token) -> None:
self.token = token
self.value = token.value
def tree_repr(self):
return self.token.tree_repr()
class Var(TokenBasedAST):
pass
class Num(TokenBasedAST):
pass
class Bool(TokenBasedAST):
pass
class String(TokenBasedAST):
pass
ASTValueType = Union[String, Bool, Num]
class Constraint(AST):
def __init__(self, var: Var, rel_op: Token, value: ASTValueType):
self.var = var
self.rel_op = rel_op
self.value = value
def tree_repr(self) -> List[Any]:
return [
self.var.tree_repr(),
self.rel_op.tree_repr(),
self.value.tree_repr(),
]
class UnOp(AST):
def __init__(self, op: Token, right: AST) -> None:
self.op = op
self.right = right
def tree_repr(self) -> List[Any]:
return [
self.op.tree_repr(),
self.right.tree_repr(),
]
class BinOp(AST):
def __init__(self, left: AST, op: Token, right: AST) -> None:
self.left = left
self.op = op
self.right = right
def tree_repr(self) -> List[Any]:
return [
self.left.tree_repr(),
self.op.tree_repr(),
self.right.tree_repr(),
]
class NoOp(AST):
def tree_repr(self) -> List[Any]:
return ['noop']
| 19.477273 | 69 | 0.573512 | 213 | 1,714 | 4.389671 | 0.178404 | 0.136898 | 0.141176 | 0.096257 | 0.347594 | 0.320856 | 0.252406 | 0.22246 | 0.188235 | 0.115508 | 0 | 0 | 0.304551 | 1,714 | 87 | 70 | 19.701149 | 0.784396 | 0.011669 | 0 | 0.344828 | 0 | 0 | 0.002371 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.206897 | false | 0.068966 | 0.034483 | 0.12069 | 0.534483 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 4 |
99da487196c5140ad8db6b47f90ceb2f1adc8a71 | 179 | py | Python | lib/__about__.py | alexandrseverinov/squarified-treemap | 5aa083a0bca093201a22813cbb9e775178f4cb93 | [
"MIT"
] | 1 | 2019-10-26T13:50:16.000Z | 2019-10-26T13:50:16.000Z | lib/__about__.py | alexandrseverinov/squarified-treemap | 5aa083a0bca093201a22813cbb9e775178f4cb93 | [
"MIT"
] | null | null | null | lib/__about__.py | alexandrseverinov/squarified-treemap | 5aa083a0bca093201a22813cbb9e775178f4cb93 | [
"MIT"
] | null | null | null | __all__ = ["__title__", "__url__", "__version__"]
__title__ = "squarified_treemap"
__url__ = "https://github.com/alexandrseverinov/squarified_treemap.git"
__version__ = "0.1.1"
| 25.571429 | 71 | 0.748603 | 19 | 179 | 5.473684 | 0.684211 | 0.326923 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018405 | 0.089385 | 179 | 6 | 72 | 29.833333 | 0.619632 | 0 | 0 | 0 | 0 | 0 | 0.608939 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
99e780385e63f3344a8ff3da30b18e0668e28970 | 98 | py | Python | rest_tracker/apps.py | TannerBurns/rest_tracker | 1747f087046052633e84f827717fd5d9cb0f2ab9 | [
"MIT"
] | 1 | 2020-08-17T13:52:24.000Z | 2020-08-17T13:52:24.000Z | rest_tracker/apps.py | TannerBurns/rest_tracker | 1747f087046052633e84f827717fd5d9cb0f2ab9 | [
"MIT"
] | null | null | null | rest_tracker/apps.py | TannerBurns/rest_tracker | 1747f087046052633e84f827717fd5d9cb0f2ab9 | [
"MIT"
] | null | null | null | from django.apps import AppConfig
class TrackerCoreConfig(AppConfig):
name = 'rest_tracker'
| 16.333333 | 35 | 0.77551 | 11 | 98 | 6.818182 | 0.909091 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.153061 | 98 | 5 | 36 | 19.6 | 0.903614 | 0 | 0 | 0 | 0 | 0 | 0.122449 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
820326ee4c0d6e32ba6efeaac348e4818da1feb3 | 68 | py | Python | src/scruples/demos/__init__.py | allenai/scruples | 9a43459c507e57d89ab8442a4f3985cedecb8710 | [
"Apache-2.0"
] | 29 | 2020-05-09T10:55:45.000Z | 2022-03-28T16:18:02.000Z | src/scruples/demos/__init__.py | allenai/scruples | 9a43459c507e57d89ab8442a4f3985cedecb8710 | [
"Apache-2.0"
] | null | null | null | src/scruples/demos/__init__.py | allenai/scruples | 9a43459c507e57d89ab8442a4f3985cedecb8710 | [
"Apache-2.0"
] | 6 | 2020-10-05T12:24:28.000Z | 2021-12-06T19:51:06.000Z | """Demos for scruples."""
from . import (
norms,
scoracle)
| 11.333333 | 25 | 0.573529 | 7 | 68 | 5.571429 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.264706 | 68 | 5 | 26 | 13.6 | 0.78 | 0.279412 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
82099719c721f882aaeee2993df5036a71731273 | 111 | py | Python | LuoguCodes/AT663.py | Anguei/OI-Codes | 0ef271e9af0619d4c236e314cd6d8708d356536a | [
"MIT"
] | null | null | null | LuoguCodes/AT663.py | Anguei/OI-Codes | 0ef271e9af0619d4c236e314cd6d8708d356536a | [
"MIT"
] | null | null | null | LuoguCodes/AT663.py | Anguei/OI-Codes | 0ef271e9af0619d4c236e314cd6d8708d356536a | [
"MIT"
] | null | null | null | ans = 0
for i in range(int(raw_input())):
ans += [0, 1][sum(map(int, raw_input().split())) < 20]
print ans
| 22.2 | 58 | 0.585586 | 21 | 111 | 3 | 0.714286 | 0.126984 | 0.349206 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.054945 | 0.18018 | 111 | 4 | 59 | 27.75 | 0.637363 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0 | null | null | 0.25 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
820a4dda04c8d50ebe955cea2375d176637e5908 | 23,858 | py | Python | big-fish/bigfish/plot/plot_images.py | Henley13/paper_translation_factories_2020 | 77558ed70467cf91062abf62e46c794bfbc08e4a | [
"BSD-3-Clause"
] | 2 | 2020-09-03T20:50:53.000Z | 2020-10-02T14:39:31.000Z | big-fish/bigfish/plot/plot_images.py | Henley13/paper_translation_factories_2020 | 77558ed70467cf91062abf62e46c794bfbc08e4a | [
"BSD-3-Clause"
] | 4 | 2020-01-15T10:26:14.000Z | 2020-10-01T18:36:39.000Z | big-fish/bigfish/plot/plot_images.py | Henley13/paper_translation_factories_2020 | 77558ed70467cf91062abf62e46c794bfbc08e4a | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
"""
Function to plot 2-d images.
"""
import bigfish.stack as stack
import matplotlib.pyplot as plt
import numpy as np
from .utils import save_plot, get_minmax_values
from skimage.segmentation import find_boundaries
from matplotlib.colors import ListedColormap
# TODO clean this script (remove useless functions)
# TODO add parameter to show the figure
def plot_yx(tensor, r=0, c=0, z=0, rescale=False, title=None,
framesize=(8, 8), remove_frame=False, path_output=None,
ext="png", show=True):
"""Plot the selected yx plan of the selected dimensions of an image.
Parameters
----------
tensor : np.ndarray
A 2-d, 3-d or 5-d tensor with shape (y, x), (z, y, x) or
(r, c, z, y, x) respectively.
r : int
Index of the round to keep.
c : int
Index of the channel to keep.
z : int
Index of the z slice to keep.
rescale : bool
Rescale pixel values of the image (made by default in matplotlib).
title : str
Title of the image.
framesize : tuple
Size of the frame used to plot with 'plt.figure(figsize=framesize)'.
remove_frame : bool
Remove axes and frame.
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
show : bool
Show the figure or not.
Returns
-------
"""
# check parameters
stack.check_array(tensor,
ndim=[2, 3, 5],
dtype=[np.uint8, np.uint16,
np.float32, np.float64,
bool])
stack.check_parameter(r=int, c=int, z=int,
rescale=bool,
title=(str, type(None)),
framesize=tuple,
remove_frame=bool,
path_output=(str, type(None)),
ext=(str, list))
# get the 2-d tensor
xy_tensor = None
if tensor.ndim == 2:
xy_tensor = tensor
elif tensor.ndim == 3:
xy_tensor = tensor[z, :, :]
elif tensor.ndim == 5:
xy_tensor = tensor[r, c, z, :, :]
# get minimum and maximum value of the image
vmin, vmax = None, None
if not rescale:
vmin, vmax = get_minmax_values(tensor)
# plot
if remove_frame:
fig = plt.figure(figsize=framesize, frameon=False)
ax = fig.add_axes([0, 0, 1, 1])
ax.axis('off')
else:
plt.figure(figsize=framesize)
if not rescale:
plt.imshow(xy_tensor, vmin=vmin, vmax=vmax)
else:
plt.imshow(xy_tensor)
if title is not None and not remove_frame:
plt.title(title, fontweight="bold", fontsize=25)
if not remove_frame:
plt.tight_layout()
if path_output is not None:
save_plot(path_output, ext)
if show:
plt.show()
else:
plt.close()
return
def plot_images(tensors, rescale=False, titles=None, framesize=(15, 5),
remove_frame=False, path_output=None, ext="png", show=True):
"""Plot or subplot of 2-d images.
Parameters
----------
tensors : np.ndarray or List[np.ndarray]
Images with shape (y, x).
rescale : bool
Rescale pixel values of the image (made by default in matplotlib).
titles : List[str]
Titles of the subplots.
framesize : tuple
Size of the frame used to plot with 'plt.figure(figsize=framesize)'.
remove_frame : bool
Remove axes and frame.
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
show : bool
Show the figure or not.
Returns
-------
"""
# enlist image if necessary
if isinstance(tensors, np.ndarray):
tensors = [tensors]
# check parameters
stack.check_parameter(tensors=list,
rescale=bool,
titles=(str, list, type(None)),
framesize=tuple,
remove_frame=bool,
path_output=(str, type(None)),
ext=(str, list),
show=bool)
for tensor in tensors:
stack.check_array(tensor,
ndim=2,
dtype=[np.uint8, np.uint16, np.int64,
np.float32, np.float64,
bool])
# we plot 3 images by row maximum
nrow = int(np.ceil(len(tensors)/3))
ncol = min(len(tensors), 3)
# plot one image
if len(tensors) == 1:
if titles is not None:
title = titles[0]
else:
title = None
plot_yx(tensors[0],
rescale=rescale,
title=title,
framesize=framesize,
remove_frame=remove_frame,
path_output=path_output,
ext=ext,
show=show)
return
# plot multiple images
fig, ax = plt.subplots(nrow, ncol, figsize=framesize)
# one row
if len(tensors) in [2, 3]:
for i, tensor in enumerate(tensors):
if remove_frame:
ax[i].axis("off")
if not rescale:
vmin, vmax = get_minmax_values(tensor)
ax[i].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[i].imshow(tensor)
if titles is not None:
ax[i].set_title(titles[i], fontweight="bold", fontsize=10)
# several rows
else:
# we complete the row with empty frames
r = nrow * 3 - len(tensors)
tensors_completed = [tensor for tensor in tensors] + [None] * r
for i, tensor in enumerate(tensors_completed):
row = i // 3
col = i % 3
if tensor is None:
ax[row, col].set_visible(False)
continue
if remove_frame:
ax[row, col].axis("off")
if not rescale:
vmin, vmax = get_minmax_values(tensor)
ax[row, col].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[row, col].imshow(tensor)
if titles is not None:
ax[row, col].set_title(titles[i],
fontweight="bold", fontsize=10)
plt.tight_layout()
if path_output is not None:
save_plot(path_output, ext)
if show:
plt.show()
else:
plt.close()
return
def plot_channels_2d(tensor, r=0, z=0, rescale=False, titles=None,
framesize=(15, 5), remove_frame=False, path_output=None,
ext="png"):
"""Subplot the yx plan of the selected dimensions of an image for all
channels.
Parameters
----------
tensor : np.ndarray, np.uint
A 5-d tensor with shape (r, c, z, y, x).
r : int
Index of the round to keep.
z : int
Index of the z slice to keep.
rescale : bool
Rescale pixel values of the image (made by default in matplotlib).
titles : List[str]
Titles of the subplots (one per channel).
framesize : tuple
Size of the frame used to plot with 'plt.figure(figsize=framesize)'.
remove_frame : bool
Remove axes and frame.
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
Returns
-------
"""
# check parameters
stack.check_array(tensor,
ndim=5,
dtype=[np.uint8, np.uint16])
stack.check_parameter(r=int,
z=int,
rescale=bool,
titles=(list, type(None)),
framesize=tuple,
remove_frame=bool,
path_output=(str, type(None)),
ext=(str, list))
# get the number of channels
nb_channels = tensor.shape[1]
# get the minimum and maximal values of the tensor dtype
vmin, vmax = None, None
if not rescale:
vmin, vmax = get_minmax_values(tensor)
# plot
fig, ax = plt.subplots(1, nb_channels, sharex='col', figsize=framesize)
for i in range(nb_channels):
if not rescale:
ax[i].imshow(tensor[r, i, z, :, :], vmin=vmin, vmax=vmax)
else:
ax[i].imshow(tensor[r, i, z, :, :])
if titles is not None:
ax[i].set_title(titles[i], fontweight="bold", fontsize=10)
if remove_frame:
ax[i].axis("off")
plt.tight_layout()
if path_output is not None:
save_plot(path_output, ext)
plt.show()
return
def plot_illumination_surface(illumination_surface, r=0, framesize=(15, 15),
titles=None, path_output=None, ext="png"):
"""Subplot the yx plan of the dimensions of an illumination surface for
all channels.
Parameters
----------
illumination_surface : np.ndarray, np.float
A 4-d tensor with shape (r, c, y, x) approximating the average
differential of illumination in our stack of images, for each channel
and each round.
r : int
Index of the round to keep.
framesize : tuple
Size of the frame used to plot with 'plt.figure(figsize=framesize)'.
titles : List[str]
Titles of the subplots (one per channel).
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
Returns
-------
"""
# TODO add title in the plot and remove axes
# TODO add parameter for vmin and vmax
# check tensor
stack.check_array(illumination_surface,
ndim=4,
dtype=[np.float32, np.float64])
# get the number of channels
nb_channels = illumination_surface.shape[1]
# plot
fig, ax = plt.subplots(1, nb_channels, sharex='col', figsize=framesize)
for i in range(nb_channels):
ax[i].imshow(illumination_surface[r, i, :, :])
if titles is not None:
ax[i].set_title(titles[i], fontweight="bold", fontsize=15)
plt.tight_layout()
save_plot(path_output, ext)
plt.show()
return
def plot_segmentation(tensor, mask, rescale=False, title=None,
framesize=(15, 5), remove_frame=False,
path_output=None, ext="png", show=True):
"""Plot result of a 2-d segmentation, with labelled instances if available.
Parameters
----------
tensor : np.ndarray
A 2-d tensor with shape (y, x).
mask : np.ndarray
A 2-d image with shape (y, x).
rescale : bool
Rescale pixel values of the image (made by default in matplotlib).
title : str
Title of the image.
framesize : tuple
Size of the frame used to plot with 'plt.figure(figsize=framesize)'.
remove_frame : bool
Remove axes and frame.
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
show : bool
Show the figure or not.
Returns
-------
"""
# check parameters
stack.check_array(tensor,
ndim=2,
dtype=[np.uint8, np.uint16,
np.float32, np.float64,
bool])
stack.check_array(mask,
ndim=2,
dtype=[np.uint8, np.uint16, np.int64, bool])
stack.check_parameter(rescale=bool,
title=(str, type(None)),
framesize=tuple,
remove_frame=bool,
path_output=(str, type(None)),
ext=(str, list))
# get minimum and maximum value of the image
vmin, vmax = None, None
if not rescale:
vmin, vmax = get_minmax_values(tensor)
# plot
fig, ax = plt.subplots(1, 3, sharex='col', figsize=framesize)
# image
if not rescale:
ax[0].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[0].imshow(tensor)
if title is not None:
ax[0].set_title(title, fontweight="bold", fontsize=10)
if remove_frame:
ax[0].axis("off")
# label
ax[1].imshow(mask)
if title is not None:
ax[1].set_title("Segmentation", fontweight="bold", fontsize=10)
if remove_frame:
ax[1].axis("off")
# superposition
if not rescale:
ax[2].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[2].imshow(tensor)
masked = np.ma.masked_where(mask == 0, mask)
ax[2].imshow(masked, cmap=ListedColormap(['red']), alpha=0.5)
if title is not None:
ax[2].set_title("Surface", fontweight="bold", fontsize=10)
if remove_frame:
ax[2].axis("off")
plt.tight_layout()
if path_output is not None:
save_plot(path_output, ext)
if show:
plt.show()
else:
plt.close()
return
def plot_segmentation_boundary(tensor, mask_nuc=None, mask_cyt=None,
rescale=False, title=None, framesize=(10, 10),
remove_frame=False, path_output=None,
ext="png", show=True):
"""Plot the boundary of the segmented objects.
Parameters
----------
tensor : np.ndarray
A 2-d tensor with shape (y, x).
mask_nuc : np.ndarray
A 2-d image with shape (y, x).
mask_cyt : np.ndarray
A 2-d image with shape (y, x).
rescale : bool
Rescale pixel values of the image (made by default in matplotlib).
title : str
Title of the image.
framesize : tuple
Size of the frame used to plot with 'plt.figure(figsize=framesize)'.
remove_frame : bool
Remove axes and frame.
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
show : bool
Show the figure or not.
Returns
-------
"""
# check parameters
stack.check_array(tensor,
ndim=2,
dtype=[np.uint8, np.uint16,
np.float32, np.float64,
bool])
if mask_nuc is not None:
stack.check_array(mask_nuc,
ndim=2,
dtype=[np.uint8, np.uint16, np.int64, bool])
if mask_cyt is not None:
stack.check_array(mask_cyt,
ndim=2,
dtype=[np.uint8, np.uint16, np.int64, bool])
stack.check_parameter(rescale=bool,
title=(str, type(None)),
framesize=tuple,
remove_frame=bool,
path_output=(str, type(None)),
ext=(str, list),
show=bool)
# get minimum and maximum value of the image
vmin, vmax = None, None
if not rescale:
vmin, vmax = get_minmax_values(tensor)
# get boundaries
boundaries_nuc = None
boundaries_cyt = None
if mask_nuc is not None:
boundaries_nuc = find_boundaries(mask_nuc, mode='thick')
boundaries_nuc = np.ma.masked_where(boundaries_nuc == 0,
boundaries_nuc)
if mask_cyt is not None:
boundaries_cyt = find_boundaries(mask_cyt, mode='thick')
boundaries_cyt = np.ma.masked_where(boundaries_cyt == 0,
boundaries_cyt)
# plot
if remove_frame:
fig = plt.figure(figsize=framesize, frameon=False)
ax = fig.add_axes([0, 0, 1, 1])
ax.axis('off')
else:
plt.figure(figsize=framesize)
if not rescale:
plt.imshow(tensor, vmin=vmin, vmax=vmax)
else:
plt.imshow(tensor)
if mask_nuc is not None:
plt.imshow(boundaries_nuc, cmap=ListedColormap(['blue']))
if mask_cyt is not None:
plt.imshow(boundaries_cyt, cmap=ListedColormap(['red']))
if title is not None and not remove_frame:
plt.title(title, fontweight="bold", fontsize=25)
if not remove_frame:
plt.tight_layout()
if path_output is not None:
save_plot(path_output, ext)
if show:
plt.show()
else:
plt.close()
return
def plot_spot_detection(tensor, spots, radius_yx, rescale=False,
title=None, framesize=(15, 5), remove_frame=False,
path_output=None, ext="png", show=True):
"""Plot detected spot on a 2-d image.
Parameters
----------
tensor : np.ndarray
A 2-d tensor with shape (y, x).
spots : np.ndarray, np.int64
Coordinate of the spots with shape (nb_spots, 3) or
(nb_spots, 2) for 3-d or 2-d images respectively.
radius_yx : float or int
Radius yx of the detected spots.
rescale : bool
Rescale pixel values of the image (made by default in matplotlib).
title : str
Title of the image.
framesize : tuple
Size of the frame used to plot (plt.figure(figsize=framesize).
remove_frame : bool
Remove axes and frame.
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
show : bool
Show the figure or not.
Returns
-------
"""
# TODO check coordinates shape
# check parameters
stack.check_array(tensor,
ndim=2,
dtype=[np.uint8, np.uint16,
np.float32, np.float64])
stack.check_array(spots,
ndim=2,
dtype=[np.int64])
stack.check_parameter(radius_yx=(float, int),
rescale=bool,
title=(str, type(None)),
framesize=tuple,
remove_frame=bool,
path_output=(str, type(None)),
ext=(str, list),
show=bool)
# get minimum and maximum value of the image
vmin, vmax = None, None
if not rescale:
vmin, vmax = get_minmax_values(tensor)
# plot
fig, ax = plt.subplots(1, 2, sharex='col', figsize=framesize)
# image
if not rescale:
ax[0].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[0].imshow(tensor)
if title is not None:
ax[0].set_title(title, fontweight="bold", fontsize=10)
if remove_frame:
ax[0].axis("off")
# spots
if not rescale:
ax[1].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[1].imshow(tensor)
for spot_coordinate in spots:
_, y, x = spot_coordinate
c = plt.Circle((x, y), radius_yx,
color="red",
linewidth=1,
fill=False)
ax[1].add_patch(c)
if title is not None:
ax[1].set_title("All detected spots", fontweight="bold", fontsize=10)
if remove_frame:
ax[1].axis("off")
plt.tight_layout()
if path_output is not None:
save_plot(path_output, ext)
if show:
plt.show()
else:
plt.close()
return
def plot_foci_detection(tensor, spots, foci, radius_spots_yx,
rescale=False, title=None, framesize=(15, 10),
remove_frame=False, path_output=None, ext="png",
show=True):
"""Plot detected spots and foci on a 2-d image.
Parameters
----------
tensor : np.ndarray
A 2-d tensor with shape (y, x).
spots : np.ndarray, np.int64
Coordinate of the spots with shape (nb_spots, 3).
foci : np.ndarray, np.int64
Array with shape (nb_foci, 5). One coordinate per dimension (zyx
coordinates), number of RNAs in the foci and index of the foci.
radius_spots_yx : float or int
Radius yx of the detected spots.
rescale : bool
Rescale pixel values of the image (made by default in matplotlib).
title : str
Title of the image.
framesize : tuple
Size of the frame used to plot (plt.figure(figsize=framesize).
remove_frame : bool
Remove axes and frame.
path_output : str
Path to save the image (without extension).
ext : str or List[str]
Extension used to save the plot. If it is a list of strings, the plot
will be saved several times.
show : bool
Show the figure or not.
Returns
-------
"""
# TODO check coordinates shape
# TODO allow a plot for a specific z-slice
# check parameters
stack.check_array(tensor,
ndim=2,
dtype=[np.uint8, np.uint16,
np.float32, np.float64])
stack.check_array(foci,
ndim=2,
dtype=[np.int64])
stack.check_parameter(spots=(np.ndarray, type(None)),
radius_spots_yx=(float, int),
rescale=bool,
title=(str, type(None)),
framesize=tuple,
remove_frame=bool,
path_output=(str, type(None)),
ext=(str, list),
show=bool)
if spots is not None:
stack.check_array(spots,
ndim=2,
dtype=[np.int64])
# get minimum and maximum value of the image
vmin, vmax = None, None
if not rescale:
vmin, vmax = get_minmax_values(tensor)
# plot
fig, ax = plt.subplots(1, 2, sharex='col', figsize=framesize)
# image
if not rescale:
ax[0].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[0].imshow(tensor)
if title is not None:
ax[0].set_title(title, fontweight="bold", fontsize=10)
if remove_frame:
ax[0].axis("off")
# spots and foci
if not rescale:
ax[1].imshow(tensor, vmin=vmin, vmax=vmax)
else:
ax[1].imshow(tensor)
if spots is not None:
for (_, y, x) in spots:
c = plt.Circle((x, y), radius_spots_yx,
color="red",
linewidth=1,
fill=False)
ax[1].add_patch(c)
title_ = "Detected spots and foci"
else:
title_ = "Detected foci"
for (_, y, x, _, _) in foci:
c = plt.Circle((x, y), radius_spots_yx * 2,
color="blue",
linewidth=2,
fill=False)
ax[1].add_patch(c)
if title is not None:
ax[1].set_title(title_,
fontweight="bold",
fontsize=10)
if remove_frame:
ax[1].axis("off")
plt.tight_layout()
if path_output is not None:
save_plot(path_output, ext)
if show:
plt.show()
else:
plt.close()
return
| 31.268676 | 79 | 0.541789 | 3,022 | 23,858 | 4.196228 | 0.07677 | 0.017349 | 0.020582 | 0.023657 | 0.774071 | 0.751991 | 0.727466 | 0.712641 | 0.672108 | 0.654286 | 0 | 0.016402 | 0.361137 | 23,858 | 762 | 80 | 31.309711 | 0.815575 | 0.3043 | 0 | 0.680488 | 0 | 0 | 0.014672 | 0 | 0 | 0 | 0 | 0.005249 | 0 | 1 | 0.019512 | false | 0 | 0.014634 | 0 | 0.056098 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
820e46fb715916326f9e0ad665bfcd1b22977ea0 | 186 | py | Python | example/voting_pages/__init__.py | mroohian/Leaf | 5bb0901fbda2793ca6dba728ef159f1a55b39f28 | [
"BSD-3-Clause"
] | null | null | null | example/voting_pages/__init__.py | mroohian/Leaf | 5bb0901fbda2793ca6dba728ef159f1a55b39f28 | [
"BSD-3-Clause"
] | null | null | null | example/voting_pages/__init__.py | mroohian/Leaf | 5bb0901fbda2793ca6dba728ef159f1a55b39f28 | [
"BSD-3-Clause"
] | null | null | null | # -*- coding: utf-8 -*-
from leaf import leaf_world
from home_page import HomePage
leaf_world.base_url = 'http://127.0.0.1'
leaf_world.available_pages.update({
'home': HomePage
}) | 18.6 | 40 | 0.709677 | 29 | 186 | 4.344828 | 0.655172 | 0.214286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.04375 | 0.139785 | 186 | 10 | 41 | 18.6 | 0.74375 | 0.112903 | 0 | 0 | 0 | 0 | 0.121951 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.333333 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
4136d2b413aaee930d1e34a0aeff13ef0c289246 | 4,800 | py | Python | _ML/models/contrib/models_keras.py | TSchlosser13/Hexnet | 0f42ce3cb731f40dc9c28d7cd08077252ff2403f | [
"MIT"
] | 10 | 2019-12-29T14:59:19.000Z | 2021-12-27T13:11:03.000Z | _ML/models/contrib/models_keras.py | TSchlosser13/Hexnet | 0f42ce3cb731f40dc9c28d7cd08077252ff2403f | [
"MIT"
] | 3 | 2019-12-19T12:41:16.000Z | 2022-03-15T16:37:11.000Z | _ML/models/contrib/models_keras.py | TSchlosser13/Hexnet | 0f42ce3cb731f40dc9c28d7cd08077252ff2403f | [
"MIT"
] | 1 | 2020-04-22T06:51:05.000Z | 2020-04-22T06:51:05.000Z | '''****************************************************************************
* models_keras.py: Keras Models
******************************************************************************
* v0.1 - 01.03.2019
*
* Copyright (c) 2019 Tobias Schlosser (tobias@tobias-schlosser.net)
*
* Permission is hereby granted, free of charge, to any person obtaining a
* copy of this software and associated documentation files (the "Software"),
* to deal in the Software without restriction, including without limitation
* the rights to use, copy, modify, merge, publish, distribute, sublicense,
* and/or sell copies of the Software, and to permit persons to whom the
* Software is furnished to do so, subject to the following conditions:
*
* The above copyright notice and this permission notice shall be included in
* all copies or substantial portions of the Software.
*
* THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
* IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
* FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
* AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
* LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING
* FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER
* DEALINGS IN THE SOFTWARE.
****************************************************************************'''
import tensorflow as tf
def model_keras_DenseNet121(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.DenseNet121(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_DenseNet169(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.DenseNet169(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_DenseNet201(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.DenseNet201(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_InceptionResNetV2(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.InceptionResNetV2(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_InceptionV3(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.InceptionV3(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_MobileNet(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.MobileNet(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_MobileNetV2(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.MobileNetV2(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_NASNetLarge(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.NASNetLarge(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_NASNetMobile(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.NASNetMobile(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_ResNet50(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.ResNet50(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_ResNet50V2(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.ResNet50V2(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_ResNet101(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.ResNet101(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_ResNet101V2(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.ResNet101V2(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_ResNet152(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.ResNet152(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_ResNet152V2(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.ResNet152V2(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_VGG16(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.VGG16(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_VGG19(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.VGG19(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
def model_keras_Xception(input_shape, classes, weights=None, **kwargs):
return tf.keras.applications.Xception(input_shape=input_shape, classes=classes, weights=weights, **kwargs)
| 56.470588 | 116 | 0.761042 | 618 | 4,800 | 5.763754 | 0.216828 | 0.1516 | 0.171814 | 0.12128 | 0.633071 | 0.633071 | 0.633071 | 0.633071 | 0.633071 | 0.617911 | 0 | 0.019297 | 0.093125 | 4,800 | 84 | 117 | 57.142857 | 0.798989 | 0.293958 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.486486 | false | 0 | 0.027027 | 0.486486 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 1 | 1 | 0 | 0 | 4 |
41378d4d6dd36bb736961b94f799929ad9eb9ad9 | 64 | py | Python | mayan/apps/reviewers/__init__.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 2 | 2021-09-12T19:41:19.000Z | 2021-09-12T19:41:20.000Z | mayan/apps/reviewers/__init__.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 37 | 2021-09-13T01:00:12.000Z | 2021-10-02T03:54:30.000Z | mayan/apps/reviewers/__init__.py | CMU-313/fall-2021-hw2-451-unavailable-for-legal-reasons | 0e4e919fd2e1ded6711354a0330135283e87f8c7 | [
"Apache-2.0"
] | 1 | 2021-09-22T13:17:30.000Z | 2021-09-22T13:17:30.000Z | default_app_config = 'mayan.apps.reviewers.apps.ReviewersConfig' | 64 | 64 | 0.859375 | 8 | 64 | 6.625 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.03125 | 64 | 1 | 64 | 64 | 0.854839 | 0 | 0 | 0 | 0 | 0 | 0.630769 | 0.630769 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
4153abcb17a2af436a923bd2e0323e584d7cad80 | 62 | py | Python | aio_graphite_api/cluster/__init__.py | yunstanford/aio-graphite-api | 819b82c451c23ce5928e711202bde79a5399c3da | [
"Apache-2.0"
] | 1 | 2016-12-09T04:14:16.000Z | 2016-12-09T04:14:16.000Z | aio_graphite_api/cluster/__init__.py | yunstanford/aio-graphite-api | 819b82c451c23ce5928e711202bde79a5399c3da | [
"Apache-2.0"
] | 1 | 2017-02-06T22:15:07.000Z | 2017-02-06T23:01:04.000Z | aio_graphite_api/cluster/__init__.py | yunstanford/aio-graphite-api | 819b82c451c23ce5928e711202bde79a5399c3da | [
"Apache-2.0"
] | null | null | null | from .cluster import init_cluster
__all__ = ["init_cluster"]
| 15.5 | 33 | 0.774194 | 8 | 62 | 5.25 | 0.625 | 0.52381 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129032 | 62 | 3 | 34 | 20.666667 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.193548 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 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 | 0 | 0 | 0 | 0 | 4 |
41577ee470bad853c4255171830655f3cb5853ad | 359 | py | Python | EventTypes.py | jpinsonault/diskusage | b950023cb5e1f24a969070c8d681e3d28f05309b | [
"MIT"
] | null | null | null | EventTypes.py | jpinsonault/diskusage | b950023cb5e1f24a969070c8d681e3d28f05309b | [
"MIT"
] | null | null | null | EventTypes.py | jpinsonault/diskusage | b950023cb5e1f24a969070c8d681e3d28f05309b | [
"MIT"
] | null | null | null | class StopApplication:
def __init__(self, exception=None):
self.exception = exception
class ExceptionOccured:
def __init__(self, exception):
self.exception = exception
class KeyStroke:
def __init__(self, key):
self.key = key
class ButtonEvent:
def __init__(self, identifier):
self.identifier = identifier
| 18.894737 | 39 | 0.679666 | 37 | 359 | 6.162162 | 0.324324 | 0.122807 | 0.192982 | 0.175439 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.239554 | 359 | 18 | 40 | 19.944444 | 0.835165 | 0 | 0 | 0.166667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0 | 0 | 0 | 0.666667 | 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 | 0 | 0 | 0 | 1 | 0 | 0 | 4 |
416359c3f8b03b54f4665b821889db4af1a7047b | 2,456 | py | Python | app/models.py | alligalli/Flaskp | c2fadf68fd339aef7fbfe3361822dc2f146ebd20 | [
"MIT"
] | null | null | null | app/models.py | alligalli/Flaskp | c2fadf68fd339aef7fbfe3361822dc2f146ebd20 | [
"MIT"
] | null | null | null | app/models.py | alligalli/Flaskp | c2fadf68fd339aef7fbfe3361822dc2f146ebd20 | [
"MIT"
] | 1 | 2020-10-27T17:46:44.000Z | 2020-10-27T17:46:44.000Z | from datetime import datetime
from flask_login import UserMixin
from werkzeug.security import generate_password_hash, check_password_hash
from . import db, login_manager
class User(UserMixin, db.Model):
__tablename__ = 'Users'
id = db.Column(db.Integer, primary_key=True)
username = db.Column(db.Unicode(64), unique=True, index=True)
email = db.Column(db.Unicode(64))
password_hash = db.Column(db.String(128))
created_at = db.Column(db.DateTime, default=datetime.now)
role_id = db.Column(db.Integer, db.ForeignKey('Roles.id'))
post_author_id = db.relationship('Post', backref='post_author', lazy='dynamic')
project_author_id = db.relationship('Project', backref='project_author', lazy='dynamic')
@property
def password(self):
raise AttributeError('password is not a readable attribute')
@password.setter
def password(self, password):
self.password_hash = generate_password_hash(password)
def verify_password(self, password):
return check_password_hash(self.password_hash, password)
def __unicode__(self):
return self.username
def __repr__(self):
return self.username
class Role(db.Model):
__tablename__ = 'Roles'
id = db.Column(db.Integer, primary_key=True)
name = db.Column(db.Unicode(64), unique=True)
users = db.relationship('User', backref='role', lazy='dynamic')
def __unicode__(self):
return self.name
def __repr__(self):
return self.name
class Post(db.Model):
__tablename__ = 'Posts'
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.Unicode(64))
body = db.Column(db.UnicodeText)
timestamp = db.Column(db.DateTime, index=True, default=datetime.utcnow)
post_author_id = db.Column(db.Integer, db.ForeignKey('Users.id'))
slug = db.Column(db.String(80), unique=True)
def __unicode__(self):
return self.title
class Project(db.Model):
__tablename__ = 'Projects'
id = db.Column(db.Integer, primary_key=True)
title = db.Column(db.Unicode(64))
body = db.Column(db.UnicodeText)
timestamp = db.Column(db.DateTime, index=True, default=datetime.utcnow)
project_author_id = db.Column(db.Integer, db.ForeignKey('Users.id'))
slug = db.Column(db.String(80), unique=True)
def __unicode__(self):
return self.title
@login_manager.user_loader
def load_user(user_id):
return User.query.get(int(user_id))
| 33.189189 | 92 | 0.699511 | 331 | 2,456 | 4.963746 | 0.229607 | 0.097383 | 0.121729 | 0.051126 | 0.457699 | 0.391357 | 0.391357 | 0.337188 | 0.297018 | 0.297018 | 0 | 0.008408 | 0.17671 | 2,456 | 73 | 93 | 33.643836 | 0.804154 | 0 | 0 | 0.413793 | 1 | 0 | 0.060261 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.172414 | false | 0.155172 | 0.068966 | 0.137931 | 0.913793 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 4 |
4196155a1c1d1467ceeb3fb794dbc6afa82580b7 | 55 | py | Python | Lib/test/test_import/__main__.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | 1 | 2018-06-21T18:21:24.000Z | 2018-06-21T18:21:24.000Z | Lib/test/test_import/__main__.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | Lib/test/test_import/__main__.py | sireliah/polish-python | 605df4944c2d3bc25f8bf6964b274c0a0d297cc3 | [
"PSF-2.0"
] | null | null | null | zaimportuj unittest
unittest.main('test.test_import')
| 13.75 | 33 | 0.818182 | 7 | 55 | 6.285714 | 0.714286 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.072727 | 55 | 3 | 34 | 18.333333 | 0.862745 | 0 | 0 | 0 | 0 | 0 | 0.290909 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 1 | null | null | 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 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
41a6e9bbe6c8b0b30001ce058ee71e73400c685c | 178 | py | Python | FAQ/forms.py | n3trob3/nimrodage | 578eb14e2e8f7dc7ae58913b6131fd60c1596c0b | [
"Apache-2.0"
] | null | null | null | FAQ/forms.py | n3trob3/nimrodage | 578eb14e2e8f7dc7ae58913b6131fd60c1596c0b | [
"Apache-2.0"
] | null | null | null | FAQ/forms.py | n3trob3/nimrodage | 578eb14e2e8f7dc7ae58913b6131fd60c1596c0b | [
"Apache-2.0"
] | null | null | null | from django import forms
from .models import NewQuestion
class NewQuestionForm(forms.ModelForm):
class Meta:
model = NewQuestion
fields = ('name','email','question',) | 25.428571 | 40 | 0.730337 | 20 | 178 | 6.5 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162921 | 178 | 7 | 41 | 25.428571 | 0.872483 | 0 | 0 | 0 | 0 | 0 | 0.098266 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
41c14dcb2d3840a152f67295e40464c758836f14 | 207 | py | Python | Leetcode/78. Subsets/solution1.py | asanoviskhak/Outtalent | c500e8ad498f76d57eb87a9776a04af7bdda913d | [
"MIT"
] | 51 | 2020-07-12T21:27:47.000Z | 2022-02-11T19:25:36.000Z | Leetcode/78. Subsets/solution1.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | null | null | null | Leetcode/78. Subsets/solution1.py | CrazySquirrel/Outtalent | 8a10b23335d8e9f080e5c39715b38bcc2916ff00 | [
"MIT"
] | 32 | 2020-07-27T13:54:24.000Z | 2021-12-25T18:12:50.000Z | from itertools import combinations, chain
class Solution:
def subsets(self, nums: List[int]) -> List[List[int]]:
return chain.from_iterable(combinations(nums, s) for s in range(len(nums) + 1))
| 29.571429 | 87 | 0.700483 | 30 | 207 | 4.8 | 0.7 | 0.097222 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005848 | 0.173913 | 207 | 6 | 88 | 34.5 | 0.836257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0.25 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
68c1c025cceaedff85044bcca05e04bc5425925d | 109 | py | Python | playwright_har_tracer/__init__.py | ninoseki/playwright-har-tracer | 942578b4b550c3978ef6e122af521eeb112dac93 | [
"MIT"
] | 3 | 2021-05-28T12:30:05.000Z | 2022-02-05T15:27:26.000Z | playwright_har_tracer/__init__.py | ninoseki/playwright-har-tracer | 942578b4b550c3978ef6e122af521eeb112dac93 | [
"MIT"
] | null | null | null | playwright_har_tracer/__init__.py | ninoseki/playwright-har-tracer | 942578b4b550c3978ef6e122af521eeb112dac93 | [
"MIT"
] | null | null | null | from .constants import __version__
from .har_tracer import HarTracer
__all__ = ["HarTracer", "__version__"]
| 21.8 | 38 | 0.788991 | 12 | 109 | 6.083333 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.119266 | 109 | 4 | 39 | 27.25 | 0.760417 | 0 | 0 | 0 | 0 | 0 | 0.183486 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.666667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
68cfd2c9dee5d8988dd51f0cd6a5af5b4ffce7a1 | 72 | py | Python | grr/server/grr_response_server/rdfvalues/__init__.py | nkrios/grr | 399e078ed522bf0555a2666fb086aa7809d54971 | [
"Apache-2.0"
] | 3 | 2018-09-30T01:31:29.000Z | 2019-04-22T11:44:54.000Z | grr/server/grr_response_server/rdfvalues/__init__.py | tomchop/grr | 27ba38dc0f5ad4f3e0cdbfb146a0a789e3b0d27b | [
"Apache-2.0"
] | 2 | 2022-01-15T03:18:12.000Z | 2022-02-13T22:02:43.000Z | grr/server/grr_response_server/rdfvalues/__init__.py | tomchop/grr | 27ba38dc0f5ad4f3e0cdbfb146a0a789e3b0d27b | [
"Apache-2.0"
] | 2 | 2020-08-24T00:22:03.000Z | 2020-11-14T08:34:43.000Z | #!/usr/bin/env python
"""RDF values package for server-only classes."""
| 24 | 49 | 0.708333 | 11 | 72 | 4.636364 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.111111 | 72 | 2 | 50 | 36 | 0.796875 | 0.888889 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
ec20385d682f760513e3e5cd4a12ed9f89f47d83 | 208 | py | Python | config/asgi.py | profiq/moving-fast | 333620d6f88af43099f987f3e515a2d3728fb1ee | [
"MIT"
] | null | null | null | config/asgi.py | profiq/moving-fast | 333620d6f88af43099f987f3e515a2d3728fb1ee | [
"MIT"
] | 3 | 2021-03-19T01:12:43.000Z | 2022-01-13T01:18:37.000Z | config/asgi.py | martasd/moving-fast-backend | bf729a70dfa466391c949f6ddf901fc0026b241a | [
"MIT"
] | null | null | null | import os
import django
from channels.routing import get_default_application
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "config.settings.docker")
django.setup()
application = get_default_application()
| 23.111111 | 73 | 0.836538 | 26 | 208 | 6.461538 | 0.615385 | 0.119048 | 0.25 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 208 | 8 | 74 | 26 | 0.875 | 0 | 0 | 0 | 0 | 0 | 0.211538 | 0.211538 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
ec314ec1139c7a51250dac94dcacba209227fb6b | 29 | py | Python | version.py | mwiens91/OoT-Randomizer | d2243392df3cb1d4b5870f84a8030ebce7ad5f1a | [
"MIT"
] | null | null | null | version.py | mwiens91/OoT-Randomizer | d2243392df3cb1d4b5870f84a8030ebce7ad5f1a | [
"MIT"
] | null | null | null | version.py | mwiens91/OoT-Randomizer | d2243392df3cb1d4b5870f84a8030ebce7ad5f1a | [
"MIT"
] | null | null | null | __version__ = '5.1.76 f.LUM'
| 14.5 | 28 | 0.655172 | 6 | 29 | 2.5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16 | 0.137931 | 29 | 1 | 29 | 29 | 0.44 | 0 | 0 | 0 | 0 | 0 | 0.413793 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
ec57cfeb1d86341a2db6340e72584ffabdddcae1 | 430 | py | Python | alttprbot_racetime/handlers/twwr.py | skyscooby/sahasrahbot | 16fce824bd024f6357a8f260e2447ba477dcdac2 | [
"MIT"
] | 15 | 2019-10-15T21:35:59.000Z | 2022-03-31T19:49:39.000Z | alttprbot_racetime/handlers/twwr.py | skyscooby/sahasrahbot | 16fce824bd024f6357a8f260e2447ba477dcdac2 | [
"MIT"
] | 12 | 2019-10-06T01:33:13.000Z | 2022-03-10T14:35:16.000Z | alttprbot_racetime/handlers/twwr.py | skyscooby/sahasrahbot | 16fce824bd024f6357a8f260e2447ba477dcdac2 | [
"MIT"
] | 28 | 2019-11-25T23:49:56.000Z | 2022-03-10T04:03:31.000Z | from .core import SahasrahBotCoreHandler
class GameHandler(SahasrahBotCoreHandler):
async def intro(self):
pass
async def ex_help(self, args, message):
pass
async def ex_lock(self, args, message):
pass
async def ex_unlock(self, args, message):
pass
async def ex_cancel(self, args, message):
pass
async def ex_tournamentrace(self, args, message):
pass
| 19.545455 | 53 | 0.648837 | 52 | 430 | 5.269231 | 0.365385 | 0.175182 | 0.218978 | 0.255474 | 0.423358 | 0.423358 | 0.423358 | 0 | 0 | 0 | 0 | 0 | 0.276744 | 430 | 21 | 54 | 20.47619 | 0.881029 | 0 | 0 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.428571 | 0.071429 | 0 | 0.142857 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 |
6b65d6c529db4333743bbe28e5aae788d4fb9e1b | 49 | py | Python | c__59.py | fhansmann/coding-challenges | eebb37565c72e05b77383c24e8273a1e4019b58e | [
"MIT"
] | null | null | null | c__59.py | fhansmann/coding-challenges | eebb37565c72e05b77383c24e8273a1e4019b58e | [
"MIT"
] | null | null | null | c__59.py | fhansmann/coding-challenges | eebb37565c72e05b77383c24e8273a1e4019b58e | [
"MIT"
] | null | null | null | import re
s = input()
print(re.findall("\d+",s))
| 12.25 | 26 | 0.612245 | 9 | 49 | 3.333333 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.122449 | 49 | 3 | 27 | 16.333333 | 0.697674 | 0 | 0 | 0 | 0 | 0 | 0.061224 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.333333 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
6ba182d5eecc6b963f3f9a0fedc00ec1cf92872f | 37 | py | Python | tests/test_drivermanager.py | manifoldai/pyjdbc | bf5ad84af8d413b7e2144d6cc08234597a689b1d | [
"Apache-2.0"
] | 2 | 2021-02-10T09:03:33.000Z | 2021-09-26T06:33:38.000Z | tests/test_drivermanager.py | manifoldai/pyjdbc | bf5ad84af8d413b7e2144d6cc08234597a689b1d | [
"Apache-2.0"
] | 6 | 2021-01-06T19:37:37.000Z | 2021-07-21T13:40:07.000Z | tests/test_drivermanager.py | manifoldai/pyjdbc | bf5ad84af8d413b7e2144d6cc08234597a689b1d | [
"Apache-2.0"
] | 1 | 2021-07-21T14:51:09.000Z | 2021-07-21T14:51:09.000Z | """
Test DriverManager interface
"""
| 9.25 | 28 | 0.702703 | 3 | 37 | 8.666667 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.135135 | 37 | 3 | 29 | 12.333333 | 0.8125 | 0.756757 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
6bf747ea08ea2c017cb2f3a6f7175f6905e8e9bc | 581 | py | Python | NeuralNetworks/NeuralNetworkGPU/utils/cost.py | CodeBulletin/ML_Library | 14dee1db335ee6932711bd148d5f12a4471cd7e5 | [
"MIT"
] | null | null | null | NeuralNetworks/NeuralNetworkGPU/utils/cost.py | CodeBulletin/ML_Library | 14dee1db335ee6932711bd148d5f12a4471cd7e5 | [
"MIT"
] | null | null | null | NeuralNetworks/NeuralNetworkGPU/utils/cost.py | CodeBulletin/ML_Library | 14dee1db335ee6932711bd148d5f12a4471cd7e5 | [
"MIT"
] | null | null | null | import cupy as cp
class MSE:
@staticmethod
def cost(x, y):
return (x - y)**2
@staticmethod
def d_cost(x, y):
return 2 * (x - y)
class MAE:
@staticmethod
def cost(x, y):
return cp.abs(x - y)
@staticmethod
def d_cost(x, y):
h = (x-y)
h[h <= 0] = -1
h[h >= 0] = 1
return h
class CrossEntropy:
@staticmethod
def cost(x, y):
return -(y * cp.log(x))
@staticmethod
def d_cost(x, y):
return -(y/(x+1e-8) + (1-y)/((1-x)+1e-8))
| 16.6 | 50 | 0.445783 | 85 | 581 | 3.011765 | 0.270588 | 0.078125 | 0.140625 | 0.234375 | 0.628906 | 0.621094 | 0.21875 | 0 | 0 | 0 | 0 | 0.034582 | 0.402754 | 581 | 34 | 51 | 17.088235 | 0.70317 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0 | 0.04 | 0.2 | 0.64 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 |
6bf9cb8696a89af627ea4b7a263242f48cf490c2 | 86 | py | Python | djmapache/commonapp/forms.py | plungerman/django-djmapache | 3dfef0a207464e65b281974e30f20fa97354ed08 | [
"MIT"
] | null | null | null | djmapache/commonapp/forms.py | plungerman/django-djmapache | 3dfef0a207464e65b281974e30f20fa97354ed08 | [
"MIT"
] | 11 | 2019-12-06T16:03:05.000Z | 2022-03-04T17:10:25.000Z | djmapache/commonapp/forms.py | carthage-college/django-djmapache | 901f7f5eff37553212129509f2b062fff4fec0ed | [
"MIT"
] | null | null | null | from django import forms
class UploadForm(forms.Form):
phile = forms.FileField()
| 17.2 | 29 | 0.744186 | 11 | 86 | 5.818182 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.162791 | 86 | 4 | 30 | 21.5 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
6bff0d2653e733c34a773caf2ad24413f006fb7b | 5,330 | py | Python | test_hw5.py | tri2sing/LinearAlgebraPython | f3dde94f02f146089607eb520ebd4467becb5f9e | [
"Apache-2.0"
] | 1 | 2017-02-26T23:29:33.000Z | 2017-02-26T23:29:33.000Z | test_hw5.py | tri2sing/LinearAlgebraPython | f3dde94f02f146089607eb520ebd4467becb5f9e | [
"Apache-2.0"
] | null | null | null | test_hw5.py | tri2sing/LinearAlgebraPython | f3dde94f02f146089607eb520ebd4467becb5f9e | [
"Apache-2.0"
] | null | null | null | from vec import Vec
from mat import Mat
from vecutil import list2vec
from matutil import listlist2mat
from GF2 import one
import hw5
S = [list2vec(v) for v in [[1,0,0],[0,1,0],[0,0,1]]]
B = [list2vec(v) for v in [[1,1,0],[0,1,1],[1,0,1]]]
for (z, w) in hw5.morph(S, B):
print("injecting ", str(z.D) + str(z.f))
print("ejecting ", str(w.D) + str(w.f))
print()
#injecting {0, 1, 2}{0: 1, 1: 1, 2: 0}
#ejecting {0, 1, 2}{0: 1, 1: 0, 2: 0}
#injecting {0, 1, 2}{0: 0, 1: 1, 2: 1}
#ejecting {0, 1, 2}{0: 0, 1: 1, 2: 0}
#injecting {0, 1, 2}{0: 1, 1: 0, 2: 1}
#ejecting {0, 1, 2}{0: 0, 1: 0, 2: 1}
#
# [(Vec({0, 1, 2},{0: 1, 1: 1, 2: 0}), Vec({0, 1, 2},{0: 1, 1: 0, 2: 0})),
# (Vec({0, 1, 2},{0: 0, 1: 1, 2: 1}), Vec({0, 1, 2},{0: 0, 1: 1, 2: 0})),
# (Vec({0, 1, 2},{0: 1, 1: 0, 2: 1}), Vec({0, 1, 2},{0: 0, 1: 0, 2: 1}))
# ]
L = [Vec({0, 1, 2},{0: 1, 1: 0, 2: 0}), Vec({0, 1, 2},{0: 0, 1: 1, 2: 0}), Vec({0, 1, 2},{0: 0, 1: 0, 2: 1}), Vec({0, 1, 2},{0: 1, 1: 1, 2: 1}), Vec({0, 1, 2},{0: 1, 1: 1, 2: 0}), Vec({0, 1, 2},{0: 0, 1: 1, 2: 1})]
print(hw5.my_is_independent(L))
#False
print(hw5.my_is_independent(L[:2]))
#True
print(hw5.my_is_independent(L[:3]))
#True
print(hw5.my_is_independent(L[1:4]))
#True
print(hw5.my_is_independent(L[0:4]))
#False
print(hw5.my_is_independent(L[2:]))
#False
print(hw5.my_is_independent(L[2:5]))
#False
a0 = Vec({'a','b','c','d'}, {'a':1})
a1 = Vec({'a','b','c','d'}, {'b':1})
a2 = Vec({'a','b','c','d'}, {'c':1})
a3 = Vec({'a','b','c','d'}, {'a':1,'c':3})
L = hw5.subset_basis([a0,a1,a2,a3])
V = [Vec({'c', 'b', 'a', 'd'},{'a': 1}), Vec({'c', 'b', 'a', 'd'},{'b': 1}), Vec({'c', 'b', 'a', 'd'},{'c': 1})]
print('\nSubset Basis')
print (L==V)
for l in L:
print(l.D)
print(l.f)
print()
U_basis = [Vec({0, 1, 2, 3, 4, 5},{0: 2, 1: 1, 2: 0, 3: 0, 4: 6, 5: 0}), Vec({0, 1, 2, 3, 4, 5},{0: 11, 1: 5, 2: 0, 3: 0, 4: 1, 5: 0}), Vec({0, 1, 2, 3, 4, 5},{0: 3, 1: 1.5, 2: 0, 3: 0, 4: 7.5, 5: 0})]
V_basis = [Vec({0, 1, 2, 3, 4, 5},{0: 0, 1: 0, 2: 7, 3: 0, 4: 0, 5: 1}), Vec({0, 1, 2, 3, 4, 5},{0: 0, 1: 0, 2: 15, 3: 0, 4: 0, 5: 2})]
w = Vec({0, 1, 2, 3, 4, 5},{0: 2, 1: 5, 2: 0, 3: 0, 4: 1, 5: 0})
refM = (Vec({0, 1, 2, 3, 4, 5},{0: 2.0, 1: 4.999999999999972, 2: 0.0, 3: 0.0, 4: 1.0, 5: 0.0}), Vec({0, 1, 2, 3, 4, 5},{0: 0.0, 1: 0.0, 2: 0.0, 3: 0.0, 4: 0.0, 5: 0.0}))
retV = hw5.direct_sum_decompose(U_basis, V_basis, w)
print('\ndirect sum decompose')
print(type(retV))
print (refM == retV)
print('\nis invertible')
M = Mat(({0, 1, 2, 3}, {0, 1, 2, 3}), {(0, 1): 0, (1, 2): 1, (3, 2): 0, (0, 0): 1, (3, 3): 4, (3, 0): 0, (3, 1): 0, (1, 1): 2, (2, 1): 0, (0, 2): 1, (2, 0): 0, (1, 3): 0, (2, 3): 1, (2, 2): 3, (1, 0): 0, (0, 3): 0})
print(hw5.is_invertible(M))
A = Mat(({0, 1}, {0, 1, 2}), {(0, 1): 2, (1, 2): 1, (0, 0): 1, (1, 0): 3, (0, 2): 3, (1, 1): 1})
print(hw5.is_invertible(A))
B = Mat(({0, 1, 2, 3}, {0, 1, 2, 3}), {(0, 1): 0, (1, 2): 1, (3, 2): 0, (0, 0): 1, (3, 3): 4, (3, 0): 0, (3, 1): 0, (1, 1): 2, (2, 1): 0, (0, 2): 1, (2, 0): 0, (1, 3): 0, (2, 3): 1, (2, 2): 3, (1, 0): 0, (0, 3): 0})
print(hw5.is_invertible(B))
C = Mat(({0, 1, 2}, {0, 1}), {(0, 1): 0, (2, 0): 2, (0, 0): 1, (1, 0): 0, (1, 1): 1, (2, 1): 1})
print(hw5.is_invertible(C))
D = Mat(({0, 1, 2}, {0, 1, 2}), {(0, 1): 5, (1, 2): 2, (0, 0): 1, (2, 0): 4, (1, 0): 2, (2, 2): 7, (0, 2): 8, (2, 1): 6, (1, 1): 5})
print(hw5.is_invertible(D))
E = Mat(({0, 1, 2, 3, 4}, {0, 1, 2, 3, 4}), {(1, 2): 7, (3, 2): 7, (0, 0): 3, (3, 0): 1, (0, 4): 3, (1, 4): 2, (1, 3): 4, (2, 3): 0, (2, 1): 56, (2, 4): 5, (4, 2): 6, (1, 0): 2, (0, 3): 7, (4, 0): 2, (0, 1): 5, (3, 3): 4, (4, 1): 4, (3, 1): 23, (4, 4): 5, (0, 2): 7, (2, 0): 2, (4, 3): 8, (2, 2): 9, (3, 4): 2, (1, 1): 4})
print(hw5.is_invertible(E))
print('\nfind inverse')
M = Mat(({0, 1, 2}, {0, 1, 2}), {(0, 1): one, (1, 2): 0, (0, 0): 0, (2, 0): 0, (1, 0): one, (2, 2): one, (0, 2): 0, (2, 1): 0, (1, 1): 0})
N = hw5.find_matrix_inverse(M)
NRef = Mat(({0, 1, 2}, {0, 1, 2}), {(0, 1): one, (2, 0): 0, (0, 0): 0, (2, 2): one, (1, 0): one, (1, 2): 0, (1, 1): 0, (2, 1): 0, (0, 2): 0})
print(N == NRef)
print('\ntriangular inverse')
A = listlist2mat([[1, .5, .2, 4],[0, 1, .3, .9],[0,0,1,.1],[0,0,0,1]])
N = hw5.find_triangular_matrix_inverse(A)
NRef = Mat(({0, 1, 2, 3}, {0, 1, 2, 3}), {(0, 1): -0.5, (1, 2): -0.3, (3, 2): 0.0, (0, 0): 1.0, (3, 3): 1.0, (3, 0): 0.0, (3, 1): 0.0, (2, 1): 0.0, (0, 2): -0.05000000000000002, (2, 0): 0.0, (1, 3): -0.87, (2, 3): -0.1, (2, 2): 1.0, (1, 0): 0.0, (0, 3): -3.545, (1, 1): 1.0})
print(N == NRef)
A = Mat(({0, 1, 2, 3}, {0, 1, 2, 3}), {(0, 1): 2, (1, 2): 3, (3, 2): 0, (0, 0): 1, (3, 3): 4, (3, 0): 0, (3, 1): 0, (1, 1): 2, (2, 1): 0, (0, 2): 3, (2, 0): 0, (1, 3): 4, (2, 3): 4, (2, 2): 3, (1, 0): 0, (0, 3): 4})
Ainv = hw5.find_triangular_matrix_inverse(A)
B = Mat(({0, 1, 2, 3}, {0, 1, 2, 3}), {(0, 1): 4, (1, 2): 5, (3, 2): 0, (0, 0): 7, (3, 3): 4, (3, 0): 0, (3, 1): 0, (1, 1): 2, (2, 1): 0, (0, 2): 2, (2, 0): 0, (1, 3): 6, (2, 3): 4, (2, 2): 7, (1, 0): 0, (0, 3): 5})
Binv = hw5.find_triangular_matrix_inverse(B)
B = Mat(({0, 1, 2, 3}, {0, 1, 2, 3}), {(0, 1): 3, (1, 2): 6, (3, 2): 0, (0, 0): 6, (3, 3): 2345, (3, 0): 0, (3, 1): 0, (1, 1): 4, (2, 1): 0, (0, 2): 4, (2, 0): 0, (1, 3): 23, (2, 3): 2, (2, 2): 6, (1, 0): 0, (0, 3): 8})
Cinv = hw5.find_triangular_matrix_inverse(C)
| 48.454545 | 322 | 0.421201 | 1,292 | 5,330 | 1.705882 | 0.063467 | 0.107078 | 0.073503 | 0.049002 | 0.633848 | 0.515427 | 0.414701 | 0.339837 | 0.288113 | 0.240018 | 0 | 0.243868 | 0.212195 | 5,330 | 109 | 323 | 48.899083 | 0.281019 | 0.091932 | 0 | 0.057971 | 0 | 0 | 0.02904 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.086957 | 0 | 0.086957 | 0.42029 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
d42586812a101d4aeb58f774f7fcc62ad2e3abc9 | 177 | py | Python | parsing/tests/__init__.py | sprymix/parsing | 4f9602e54e035ace5fe04bfdfd117eb89be9e865 | [
"MIT"
] | 29 | 2015-08-06T10:16:11.000Z | 2020-12-29T06:03:05.000Z | parsing/tests/__init__.py | MagicStack/parsing | 4f9602e54e035ace5fe04bfdfd117eb89be9e865 | [
"MIT"
] | 1 | 2017-04-18T18:43:05.000Z | 2017-04-18T18:46:59.000Z | parsing/tests/__init__.py | MagicStack/parsing | 4f9602e54e035ace5fe04bfdfd117eb89be9e865 | [
"MIT"
] | 7 | 2015-06-08T07:38:37.000Z | 2021-06-01T19:21:22.000Z | import os.path
import unittest
def suite() -> unittest.TestSuite:
start = os.path.dirname(os.path.dirname(__file__))
return unittest.defaultTestLoader.discover(start)
| 22.125 | 54 | 0.757062 | 22 | 177 | 5.909091 | 0.590909 | 0.138462 | 0.2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.129944 | 177 | 7 | 55 | 25.285714 | 0.844156 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.4 | 0 | 0.8 | 0 | 1 | 0 | 0 | null | 0 | 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 | 0 | 0 | 0 | 4 |
d46a9059db2fc0fe923fc61111c03a86dc11927f | 160 | py | Python | 4-preprocessing/dividing_languages/polyglot/tokenize/__init__.py | correia-marcos/Innovation-on-brazilian-economic-research | 98bc677618ec2dff062db42cda7279a5e7065a32 | [
"MIT"
] | null | null | null | 4-preprocessing/dividing_languages/polyglot/tokenize/__init__.py | correia-marcos/Innovation-on-brazilian-economic-research | 98bc677618ec2dff062db42cda7279a5e7065a32 | [
"MIT"
] | null | null | null | 4-preprocessing/dividing_languages/polyglot/tokenize/__init__.py | correia-marcos/Innovation-on-brazilian-economic-research | 98bc677618ec2dff062db42cda7279a5e7065a32 | [
"MIT"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from .base import WordTokenizer, SentenceTokenizer
__all__ = ['WordTokenizer',
'SentenceTokenizer']
| 17.777778 | 50 | 0.6625 | 15 | 160 | 6.8 | 0.866667 | 0.588235 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.007692 | 0.1875 | 160 | 8 | 51 | 20 | 0.776923 | 0.2625 | 0 | 0 | 0 | 0 | 0.258621 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 0 | 4 |
d477d018368919b87cf44d32768c80869926dc04 | 75 | py | Python | login.py | zzxnndx/test29 | e8582db4bfa178f2502f7ebad2de42b9ab925f67 | [
"MIT"
] | null | null | null | login.py | zzxnndx/test29 | e8582db4bfa178f2502f7ebad2de42b9ab925f67 | [
"MIT"
] | null | null | null | login.py | zzxnndx/test29 | e8582db4bfa178f2502f7ebad2de42b9ab925f67 | [
"MIT"
] | null | null | null | num = 1
num =1111
num =3333333333334
num = 4
num4 =12312312
num3 =123123
| 9.375 | 18 | 0.706667 | 12 | 75 | 4.416667 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.59322 | 0.213333 | 75 | 7 | 19 | 10.714286 | 0.305085 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 | 4 |
d4805f0d7dffa3e46d2090382ccbe62a710ff386 | 58 | py | Python | 00-basics/08-if_00.py | ralexrivero/python_fundation | 34a855db7380d3d91db6a8f02d97f287d038ef5f | [
"Apache-2.0"
] | 1 | 2021-09-19T04:09:48.000Z | 2021-09-19T04:09:48.000Z | 00-basics/08-if_00.py | ralexrivero/python_fundation | 34a855db7380d3d91db6a8f02d97f287d038ef5f | [
"Apache-2.0"
] | null | null | null | 00-basics/08-if_00.py | ralexrivero/python_fundation | 34a855db7380d3d91db6a8f02d97f287d038ef5f | [
"Apache-2.0"
] | null | null | null | if True:
print("Holberton")
else:
print("School")
| 11.6 | 22 | 0.603448 | 7 | 58 | 5 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.224138 | 58 | 4 | 23 | 14.5 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0.258621 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 |
2e184a3aa4fb40b003245aa8cc79c3354b6baf64 | 232 | py | Python | Shawn/threads.py | merlin-neurotech/Backend | 7845a2ab087d184056aef1e5d43f6eccaef136eb | [
"MIT"
] | 2 | 2020-01-06T16:58:10.000Z | 2020-02-01T19:41:44.000Z | Shawn/threads.py | merlin-neurotech/Backend | 7845a2ab087d184056aef1e5d43f6eccaef136eb | [
"MIT"
] | null | null | null | Shawn/threads.py | merlin-neurotech/Backend | 7845a2ab087d184056aef1e5d43f6eccaef136eb | [
"MIT"
] | 2 | 2019-12-26T19:03:49.000Z | 2020-02-09T17:36:04.000Z | import threading
def runFunc(functionToRun, argsToRun=None):
if argsToRun:
func = threading.Thread(target=functionToRun, kwargs=argsToRun)
else:
func = threading.Thread(target=functionToRun)
func.run()
| 23.2 | 71 | 0.706897 | 24 | 232 | 6.833333 | 0.583333 | 0.158537 | 0.231707 | 0.304878 | 0.463415 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.198276 | 232 | 9 | 72 | 25.777778 | 0.88172 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.142857 | false | 0 | 0.142857 | 0 | 0.285714 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 |
2e51ea7603a899744dfd41cdc9d7f8f241f09608 | 243 | py | Python | pysp2/testing/__init__.py | ARM-DOE/PySP2 | 4f464d03bc4b2c20e123853b1465c266f485e05d | [
"BSD-2-Clause"
] | null | null | null | pysp2/testing/__init__.py | ARM-DOE/PySP2 | 4f464d03bc4b2c20e123853b1465c266f485e05d | [
"BSD-2-Clause"
] | 1 | 2022-02-28T22:48:04.000Z | 2022-02-28T22:48:04.000Z | pysp2/testing/__init__.py | ARM-DOE/PySP2 | 4f464d03bc4b2c20e123853b1465c266f485e05d | [
"BSD-2-Clause"
] | 1 | 2022-02-25T14:07:21.000Z | 2022-02-25T14:07:21.000Z | """
=========================
pysp2.tests (pysp2.tests)
=========================
.. currentmodule:: pydda.tests
This module contains links to test files for PySP2
.. autosummary::
:toctree: generated/
"""
from .sample_files import *
| 15.1875 | 50 | 0.55144 | 23 | 243 | 5.782609 | 0.782609 | 0.150376 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014423 | 0.144033 | 243 | 15 | 51 | 16.2 | 0.625 | 0.839506 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 4 |
2e5330ea431121f50da65829e4469503454941d2 | 1,590 | py | Python | motions/angular_velocity_models.py | AlexeyKonakov/state-space-estimation | ba30243211aded0db5b56ece134ab70d0b27ed03 | [
"MIT"
] | null | null | null | motions/angular_velocity_models.py | AlexeyKonakov/state-space-estimation | ba30243211aded0db5b56ece134ab70d0b27ed03 | [
"MIT"
] | null | null | null | motions/angular_velocity_models.py | AlexeyKonakov/state-space-estimation | ba30243211aded0db5b56ece134ab70d0b27ed03 | [
"MIT"
] | null | null | null | from __future__ import annotations
from abc import ABC, abstractmethod
import numpy as np
from bayesian_framework.inference.stochastic_models.stochastic_processes import WienerProcessValueProvider
class AngularVelocityProvider(ABC):
@abstractmethod
def eval(self, k: int) -> np.ndarray:
"""
Evaluate angular velocity at discrete time = k.
:param k: discrete time, int, [-].
:return: the angular velocity vector in 3-space at time = k; numpy array of size (3,), rad.
"""
pass
class WienerModelAngularVelocityProvider(AngularVelocityProvider):
"""
Model of angular velocity where angular velocity is standard Wiener Process (Brownian motion).
Angular velocity for each axis (in 3D space) are independent.
"""
def __init__(self, initial_angular_velocity: np.ndarray, delta: float, dt: float, n: int):
"""
Initialize instance of WienerAccelerationModelProvider
:param initial_angular_velocity: initial angular velocity
:param delta: 'velocity' of Wiener process.
:param dt: float, The time step.
:param n: int, The number of steps to take.
"""
self._values_provider = WienerProcessValueProvider(initial_angular_velocity, delta, dt, n)
def eval(self, k: int) -> np.ndarray:
"""
Evaluate angular velocity at discrete time = k.
:param k: discrete time, int, [-].
:return: the angular velocity vector in 3-space at time = k; numpy array of size (3,), rad.
"""
return self._values_provider.eval(k)
| 36.136364 | 106 | 0.677987 | 188 | 1,590 | 5.62234 | 0.388298 | 0.156102 | 0.083254 | 0.022706 | 0.280038 | 0.280038 | 0.280038 | 0.280038 | 0.280038 | 0.280038 | 0 | 0.004122 | 0.237107 | 1,590 | 43 | 107 | 36.976744 | 0.867271 | 0.465409 | 0 | 0.153846 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.230769 | false | 0.076923 | 0.307692 | 0 | 0.769231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 4 |
2e5dbaf7c916e4a8b1323ad9d21633f842fa62d2 | 95 | py | Python | src/minisentry/apps.py | anti1869/minisentry | 43b9685f33eeb55adbb78d3ec7afa05204e65f38 | [
"Apache-2.0"
] | 3 | 2021-07-02T01:54:03.000Z | 2022-01-21T11:38:36.000Z | src/minisentry/apps.py | anti1869/minisentry | 43b9685f33eeb55adbb78d3ec7afa05204e65f38 | [
"Apache-2.0"
] | null | null | null | src/minisentry/apps.py | anti1869/minisentry | 43b9685f33eeb55adbb78d3ec7afa05204e65f38 | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class MinisentryConfig(AppConfig):
name = "minisentry"
| 15.833333 | 34 | 0.768421 | 10 | 95 | 7.3 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.157895 | 95 | 5 | 35 | 19 | 0.9125 | 0 | 0 | 0 | 0 | 0 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
2e747662f6e52008074632930672258dc8cda3de | 124 | py | Python | web/archivo/forms.py | euribates/hipatia | 1f1d71c07be1ed0b43abc4b2b7ad32940fcfd2f4 | [
"MIT"
] | null | null | null | web/archivo/forms.py | euribates/hipatia | 1f1d71c07be1ed0b43abc4b2b7ad32940fcfd2f4 | [
"MIT"
] | null | null | null | web/archivo/forms.py | euribates/hipatia | 1f1d71c07be1ed0b43abc4b2b7ad32940fcfd2f4 | [
"MIT"
] | null | null | null | from django import forms
class SearchForm(forms.Form):
query = forms.CharField(label='Texto a buscar', max_length=180)
| 24.8 | 67 | 0.758065 | 18 | 124 | 5.166667 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.028037 | 0.137097 | 124 | 4 | 68 | 31 | 0.841122 | 0 | 0 | 0 | 0 | 0 | 0.112903 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 4 |
cf0f840e1c3ebf77797e0fed0677b0d518edda5a | 135 | pyw | Python | evernote.pyw | kojinho10/application_switcher | 1437501dd2f5fe900fc55e96a3651db34f969455 | [
"MIT"
] | null | null | null | evernote.pyw | kojinho10/application_switcher | 1437501dd2f5fe900fc55e96a3651db34f969455 | [
"MIT"
] | null | null | null | evernote.pyw | kojinho10/application_switcher | 1437501dd2f5fe900fc55e96a3651db34f969455 | [
"MIT"
] | null | null | null | import switcher3
window = switcher3.Window(None,"- Evernote", "evernote")
window.activate_app()
#window.debug()
#window.show_scope()
| 16.875 | 56 | 0.748148 | 16 | 135 | 6.1875 | 0.625 | 0.30303 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.01626 | 0.088889 | 135 | 7 | 57 | 19.285714 | 0.788618 | 0.244444 | 0 | 0 | 0 | 0 | 0.18 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 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 | 0 | 0 | 0 | 0 | 4 |
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