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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
54d0c3f0ae68b706ed041587d739745d17917113
| 380
|
py
|
Python
|
main/admin.py
|
sirodoht/mal
|
82295e1b6a03cd9a7ee1357ca3f5be7a26d0ffe9
|
[
"MIT"
] | 2
|
2020-03-29T18:47:18.000Z
|
2020-05-12T07:03:36.000Z
|
main/admin.py
|
sirodoht/mal
|
82295e1b6a03cd9a7ee1357ca3f5be7a26d0ffe9
|
[
"MIT"
] | null | null | null |
main/admin.py
|
sirodoht/mal
|
82295e1b6a03cd9a7ee1357ca3f5be7a26d0ffe9
|
[
"MIT"
] | null | null | null |
from django.contrib import admin
from django.contrib.auth.admin import UserAdmin
from main import models
class Admin(UserAdmin):
list_display = ("id", "username", "email", "date_joined", "last_login")
admin.site.register(models.User, Admin)
class DocumentAdmin(admin.ModelAdmin):
list_display = ("id", "title")
admin.site.register(models.Document, DocumentAdmin)
| 20
| 75
| 0.747368
| 48
| 380
| 5.833333
| 0.541667
| 0.071429
| 0.121429
| 0.164286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.126316
| 380
| 18
| 76
| 21.111111
| 0.843373
| 0
| 0
| 0
| 0
| 0
| 0.113158
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 0
| 0.777778
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
54d9afa8624f72c8f6f8e3ffc3c4fcb52e42ad11
| 1,744
|
py
|
Python
|
iri-node/fabfile.py
|
jinnerbichler/home-automflashion
|
f93442712322ab819651f453437c11f685640e83
|
[
"Apache-2.0"
] | 8
|
2018-02-06T15:18:08.000Z
|
2020-07-12T20:16:22.000Z
|
iri-node/fabfile.py
|
jinnerbichler/home-autoflashion
|
f93442712322ab819651f453437c11f685640e83
|
[
"Apache-2.0"
] | 1
|
2018-09-02T17:10:57.000Z
|
2018-10-02T04:14:43.000Z
|
iri-node/fabfile.py
|
jinnerbichler/home-autoflashion
|
f93442712322ab819651f453437c11f685640e83
|
[
"Apache-2.0"
] | 1
|
2019-08-14T04:39:48.000Z
|
2019-08-14T04:39:48.000Z
|
import time
from fabric.api import run, env, task, put, cd, local, sudo
env.use_ssh_config = True
env.hosts = ['iota_node']
@task(default=True)
def iri():
run('mkdir -p /srv/private-tangle/')
with cd('/srv/private-tangle'):
put('.', '.')
run('docker-compose --project-name private-tangle pull')
run('docker-compose --project-name private-tangle up -d --force-recreate iri')
@task
def tools():
with cd('/srv/private-tangle'):
put('.', '.')
run('docker-compose --project-name private-tangle pull')
run('docker-compose --project-name private-tangle up -d --no-deps --force-recreate coordinator explorer')
run('docker-compose --project-name private-tangle logs -f --tail 100 coordinator explorer')
@task
def stop():
with cd('/srv/private-tangle'):
run('docker-compose --project-name private-tangle stop')
@task
def stop_coord():
with cd('/srv/private-tangle'):
run('docker-compose --project-name private-tangle stop coordinator')
@task
def down():
with cd('/srv/private-tangle'):
run('docker-compose --project-name private-tangle down -v')
@task
def logs():
with cd('/srv/private-tangle'):
run('docker-compose --project-name private-tangle logs -f --tail 100')
@task
def logs_coord():
with cd('/srv/private-tangle'):
run('docker-compose --project-name private-tangle logs -f --tail 100 coordinator')
@task
def logs_all():
with cd('/srv/private-tangle'):
run('docker-compose logs -f')
@task
def reset():
# stop services and delete database
down()
time.sleep(1)
run('rm -rf /srv/private-tangle/testnet_db/')
# restart all services
iri()
time.sleep(5)
tools()
| 24.222222
| 113
| 0.639908
| 237
| 1,744
| 4.679325
| 0.270042
| 0.234445
| 0.158702
| 0.207394
| 0.620379
| 0.620379
| 0.620379
| 0.620379
| 0.586114
| 0.586114
| 0
| 0.007846
| 0.196101
| 1,744
| 71
| 114
| 24.56338
| 0.783167
| 0.030963
| 0
| 0.4
| 0
| 0.02
| 0.536455
| 0.018376
| 0
| 0
| 0
| 0
| 0
| 1
| 0.18
| true
| 0
| 0.04
| 0
| 0.22
| 0
| 0
| 0
| 0
| null | 1
| 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
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
54f75a0784cdbed72bcde377b44202a6cfd58c51
| 382
|
py
|
Python
|
netrunner/test_settings.py
|
MrAGi/netrunner-cambridge
|
bae0603486c2aa5a980e8e19207452fb01ec2193
|
[
"MIT"
] | null | null | null |
netrunner/test_settings.py
|
MrAGi/netrunner-cambridge
|
bae0603486c2aa5a980e8e19207452fb01ec2193
|
[
"MIT"
] | null | null | null |
netrunner/test_settings.py
|
MrAGi/netrunner-cambridge
|
bae0603486c2aa5a980e8e19207452fb01ec2193
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
from .settings import *
DEBUG = True
TEMPLATE_DEBUG = DEBUG
DATABASES = {
'default': {
'ENGINE': 'django.db.backends.postgresql_psycopg2',
'NAME': os.environ['LOCAL_DB_NAME'],
'USER': os.environ['LOCAL_DB_USER'],
'PASSWORD': os.environ['LOCAL_DB_PASSWORD'],
'HOST': '127.0.0.1',
'PORT': '5432',
}
}
| 21.222222
| 59
| 0.568063
| 44
| 382
| 4.75
| 0.659091
| 0.129187
| 0.200957
| 0.229665
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041522
| 0.243456
| 382
| 18
| 60
| 21.222222
| 0.681661
| 0.054974
| 0
| 0
| 0
| 0
| 0.363889
| 0.105556
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.076923
| 0.076923
| 0
| 0.076923
| 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
| 0
| 0
|
0
| 3
|
070d242ccbb22625007056e552b13c344fbecb38
| 474
|
py
|
Python
|
Chapter13_code/ch13_r05_using_the_rpc_api/xmlrpc.py
|
PacktPublishing/Odoo-Development-Cookbook
|
5553110c0bc352c4541f11904e236cad3c443b8b
|
[
"MIT"
] | 55
|
2016-05-23T16:05:50.000Z
|
2021-07-19T00:16:46.000Z
|
Chapter13_code/ch13_r05_using_the_rpc_api/xmlrpc.py
|
kogkog098/Odoo-Development-Cookbook
|
166c9b98efbc9108b30d719213689afb1f1c294d
|
[
"MIT"
] | 1
|
2016-12-09T02:14:21.000Z
|
2018-07-02T09:02:20.000Z
|
Chapter13_code/ch13_r05_using_the_rpc_api/xmlrpc.py
|
kogkog098/Odoo-Development-Cookbook
|
166c9b98efbc9108b30d719213689afb1f1c294d
|
[
"MIT"
] | 52
|
2016-06-01T20:03:59.000Z
|
2020-10-31T23:58:25.000Z
|
#!/usr/bin/env python2
import xmlrpclib
db = 'odoo9'
user = 'admin'
password = 'admin'
uid = xmlrpclib.ServerProxy('http://localhost:8069/xmlrpc/2/common')\
.authenticate(db, user, password, {})
odoo = xmlrpclib.ServerProxy('http://localhost:8069/xmlrpc/2/object')
installed_modules = odoo.execute_kw(
db, uid, password, 'ir.module.module', 'search_read',
[[('state', '=', 'installed')], ['name']], {})
for module in installed_modules:
print module['name']
| 31.6
| 69
| 0.681435
| 58
| 474
| 5.5
| 0.603448
| 0.125392
| 0.15047
| 0.206897
| 0.275862
| 0.275862
| 0.275862
| 0
| 0
| 0
| 0
| 0.028916
| 0.124473
| 474
| 14
| 70
| 33.857143
| 0.739759
| 0.044304
| 0
| 0
| 0
| 0
| 0.307522
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0.25
| 0.083333
| null | null | 0.083333
| 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
| 1
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 3
|
07283cf3af01e90d346a6f3a53d9608574682da0
| 706
|
py
|
Python
|
tests/home_assistant/custom_features.py
|
jre21/mindmeld
|
6a88e4b0dfc7971f6bf9ae406b89dbc76f68af81
|
[
"Apache-2.0"
] | 1
|
2021-01-06T23:39:57.000Z
|
2021-01-06T23:39:57.000Z
|
tests/home_assistant/custom_features.py
|
jre21/mindmeld
|
6a88e4b0dfc7971f6bf9ae406b89dbc76f68af81
|
[
"Apache-2.0"
] | 1
|
2021-02-02T22:53:01.000Z
|
2021-02-02T22:53:01.000Z
|
tests/home_assistant/custom_features.py
|
jre21/mindmeld
|
6a88e4b0dfc7971f6bf9ae406b89dbc76f68af81
|
[
"Apache-2.0"
] | null | null | null |
from mindmeld.models.helpers import register_query_feature
@register_query_feature(feature_name='average-token-length')
def extract_average_token_length(**args):
"""
Example query feature that gets the average length of normalized tokens in the query„
Returns:
(function) A feature extraction function that takes a query and
returns the average normalized token length
"""
# pylint: disable=locally-disabled,unused-argument
def _extractor(query, resources):
tokens = query.normalized_tokens
average_token_length = sum([len(t) for t in tokens]) / len(tokens)
return {'average_token_length': average_token_length}
return _extractor
| 35.3
| 89
| 0.729462
| 89
| 706
| 5.606742
| 0.483146
| 0.132265
| 0.180361
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.196884
| 706
| 19
| 90
| 37.157895
| 0.878307
| 0.375354
| 0
| 0
| 0
| 0
| 0.096852
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.125
| 0
| 0.625
| 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
| 0
| 1
| 0
|
0
| 3
|
073a8f2eb2cea5666b00d9e848e53968468e9ca6
| 130
|
py
|
Python
|
Setup Rich Text Editor/mysite/main/urls.py
|
AyemunHossain/Django
|
0b1ed21fd6bd2906a4a1a220c029a2193658320f
|
[
"MIT"
] | 2
|
2020-02-14T19:23:50.000Z
|
2020-04-19T08:26:38.000Z
|
Setup Rich Text Editor/mysite/main/urls.py
|
AyemunHossain/Django
|
0b1ed21fd6bd2906a4a1a220c029a2193658320f
|
[
"MIT"
] | 42
|
2021-02-02T23:08:30.000Z
|
2022-03-12T00:54:55.000Z
|
Setup Rich Text Editor/mysite/main/urls.py
|
AyemunHossain/Django
|
0b1ed21fd6bd2906a4a1a220c029a2193658320f
|
[
"MIT"
] | 1
|
2022-03-07T08:09:41.000Z
|
2022-03-07T08:09:41.000Z
|
from django.urls import path
from . import views
app_name = "main"
urlpatterns = [
path("",views.homepage,name="homepage")
]
| 16.25
| 43
| 0.7
| 17
| 130
| 5.294118
| 0.647059
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.161538
| 130
| 8
| 44
| 16.25
| 0.825688
| 0
| 0
| 0
| 0
| 0
| 0.091603
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
07494bf06325a1ec59e4ef3f00ab6c72a53bc972
| 1,293
|
py
|
Python
|
setup.py
|
editorconfig/editorconfig-core-py
|
f43312abcf6888b78ca80f1e95bfa627281746ad
|
[
"PSF-2.0",
"BSD-2-Clause"
] | 70
|
2015-01-12T09:55:18.000Z
|
2022-03-29T06:15:49.000Z
|
setup.py
|
editorconfig/editorconfig-core-py
|
f43312abcf6888b78ca80f1e95bfa627281746ad
|
[
"PSF-2.0",
"BSD-2-Clause"
] | 26
|
2015-09-15T06:46:51.000Z
|
2022-03-28T08:56:35.000Z
|
setup.py
|
editorconfig/editorconfig-core-py
|
f43312abcf6888b78ca80f1e95bfa627281746ad
|
[
"PSF-2.0",
"BSD-2-Clause"
] | 28
|
2015-04-05T18:07:16.000Z
|
2022-03-28T08:08:00.000Z
|
import os
from setuptools import setup
# Read the version
g = {}
with open(os.path.join("editorconfig", "version.py"), "rt") as fp:
exec(fp.read(), g)
v = g['VERSION']
version = ".".join(str(x) for x in v[:3])
if v[3] != "final":
version += "-" + v[3]
setup(
name='EditorConfig',
version=version,
author='EditorConfig Team',
packages=['editorconfig'],
url='http://editorconfig.org/',
license='python',
description='EditorConfig File Locator and Interpreter for Python',
long_description=open('README.rst').read(),
entry_points = {
'console_scripts': [
'editorconfig = editorconfig.__main__:main',
]
},
classifiers=[
'License :: OSI Approved :: Python Software Foundation License',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: Implementation :: PyPy',
],
)
| 31.536585
| 72
| 0.590101
| 136
| 1,293
| 5.558824
| 0.492647
| 0.22619
| 0.297619
| 0.206349
| 0.071429
| 0
| 0
| 0
| 0
| 0
| 0
| 0.016563
| 0.2529
| 1,293
| 40
| 73
| 32.325
| 0.766046
| 0.012374
| 0
| 0
| 0
| 0
| 0.521569
| 0.020392
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.054054
| 0
| 0.054054
| 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
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
074981b228683f09166c88b994c571524093496b
| 6,035
|
py
|
Python
|
multi_group_memory_contrast.py
|
wangzy0327/hadoop-cluster-docker
|
cf1de6bf458ade132ad5a688e4f8f9b9968a704a
|
[
"Apache-2.0"
] | 1
|
2020-03-03T10:16:33.000Z
|
2020-03-03T10:16:33.000Z
|
multi_group_memory_contrast.py
|
wangzy0327/hadoop-cluster-docker
|
cf1de6bf458ade132ad5a688e4f8f9b9968a704a
|
[
"Apache-2.0"
] | null | null | null |
multi_group_memory_contrast.py
|
wangzy0327/hadoop-cluster-docker
|
cf1de6bf458ade132ad5a688e4f8f9b9968a704a
|
[
"Apache-2.0"
] | 1
|
2020-12-21T09:20:52.000Z
|
2020-12-21T09:20:52.000Z
|
import numpy as np
import matplotlib.pyplot as plt
t = np.arange(0,375,6.5)
# MEM_1 = [0.031, 0.034, 0.034, 0.034, 0.031, 0.034, 0.034, 0.034, 0.031, 0.033, 0.035, 0.034, 0.031, 0.033, 0.034, 0.034, 0.031, 0.033, 0.034, 0.034, 0.031, 0.033, 0.034, 0.034, 0.031, 0.033, 0.034, 0.034, 0.031, 0.031, 0.031, 0.031, 0.031, 0.031]
# MEM_2 = [0.031, 0.033, 0.045, 0.054, 0.057, 0.068, 0.068, 0.066, 0.071, 0.071, 0.077, 0.079, 0.089, 0.083, 0.079, 0.073, 0.07, 0.076, 0.076, 0.083, 0.086, 0.083, 0.078, 0.074, 0.071, 0.073, 0.073, 0.073, 0.071, 0.071, 0.071, 0.071, 0.071, 0.071]
# MEM_3 = [0.032, 0.034, 0.049, 0.073, 0.082, 0.099, 0.121, 0.132, 0.133, 0.123, 0.109, 0.111, 0.114, 0.114, 0.116, 0.132, 0.148, 0.139, 0.13, 0.116, 0.112, 0.113, 0.114, 0.114, 0.112, 0.112, 0.112, 0.112, 0.112, 0.112, 0.112, 0.112, 0.112, 0.112]
# MEM_4 = [0.032, 0.035, 0.05, 0.073, 0.105, 0.126, 0.149, 0.17, 0.176, 0.18, 0.171, 0.151, 0.145, 0.152, 0.153, 0.166, 0.177, 0.173, 0.166, 0.152, 0.152, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148, 0.148]
# MEM_5 = [0.032, 0.034, 0.049, 0.068, 0.106, 0.141, 0.166, 0.194, 0.221, 0.238, 0.235, 0.213, 0.185, 0.185, 0.189, 0.193, 0.197, 0.2, 0.201, 0.201, 0.197, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.19, 0.190, 0.190, 0.190]
# MEM_6 = [0.032, 0.034, 0.049, 0.069, 0.102, 0.133, 0.179, 0.193, 0.233, 0.264, 0.299, 0.297, 0.279, 0.237, 0.226, 0.226, 0.228, 0.231, 0.232, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23, 0.23]
# MEM_7 = [0.03, 0.032, 0.047, 0.066, 0.098, 0.131, 0.169, 0.219, 0.234, 0.281, 0.314, 0.344, 0.337, 0.318, 0.271, 0.264, 0.263, 0.264, 0.265, 0.266, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267, 0.267]
MEM_1 = [0.038, 0.039, 0.04, 0.042, 0.047, 0.048, 0.05, 0.044, 0.038, 0.038, 0.039, 0.044, 0.048, 0.048, 0.048, 0.038, 0.041, 0.041, 0.047, 0.051, 0.049, 0.047, 0.038, 0.04, 0.04, 0.046, 0.052, 0.049, 0.045, 0.038, 0.038, 0.038, 0.043, 0.048, 0.048, 0.048, 0.04, 0.038, 0.04, 0.039, 0.046, 0.05, 0.049, 0.045, 0.039, 0.039, 0.042, 0.042, 0.048, 0.052, 0.05, 0.047, 0.041, 0.039, 0.039, 0.039, 0.039, 0.039]
MEM_2 = [0.041, 0.049, 0.056, 0.064, 0.084, 0.091, 0.096, 0.088, 0.081, 0.076, 0.076, 0.078, 0.088, 0.102, 0.103, 0.094, 0.085, 0.076, 0.077, 0.084, 0.093, 0.097, 0.092, 0.082, 0.076, 0.076, 0.079, 0.085, 0.092, 0.088, 0.085, 0.076, 0.076, 0.076, 0.077, 0.077, 0.077, 0.076, 0.077, 0.077, 0.077, 0.076, 0.077, 0.077, 0.077, 0.076, 0.077, 0.077, 0.077, 0.076, 0.077, 0.077, 0.077, 0.076, 0.077, 0.077, 0.077, 0.077]
MEM_3 = [0.077, 0.077, 0.086, 0.091, 0.108, 0.129, 0.137, 0.14, 0.126, 0.121, 0.117, 0.115, 0.125, 0.139, 0.142, 0.143, 0.126, 0.122, 0.115, 0.114, 0.118, 0.122, 0.122, 0.118, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113, 0.113]
MEM_4 = [0.117, 0.117, 0.128, 0.141, 0.162, 0.191, 0.19, 0.189, 0.166, 0.16, 0.155, 0.158, 0.169, 0.182, 0.178, 0.174, 0.159, 0.156, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153, 0.153]
MEM_5 = [0.154, 0.154, 0.166, 0.173, 0.195, 0.227, 0.232, 0.239, 0.207, 0.197, 0.195, 0.194, 0.205, 0.21, 0.209, 0.198, 0.191, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188, 0.188]
MEM_6 = [0.179, 0.179, 0.195, 0.203, 0.231, 0.267, 0.269, 0.266, 0.238, 0.222, 0.218, 0.214, 0.22, 0.227, 0.226, 0.223, 0.218, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214, 0.214]
MEM_7 = [0.204, 0.205, 0.226, 0.23, 0.251, 0.302, 0.327, 0.32, 0.305, 0.273, 0.257, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.256, 0.256, 0.257, 0.257, 0.258, 0.257, 0.257]
font1 = {
'family' : 'Times New Roman',
'weight' : 'normal',
'size' : 28,
}
font2 = {
'family' : 'Times New Roman',
'weight' : 'normal',
'size' : 20,
}
plt.title('processing Memory% Analysis',font1)
l1, = plt.plot(t,MEM_1,color='green',marker="o",label='1 hadoop group')
l2, = plt.plot(t,MEM_2,color='darkorange',marker="o",label='2 hadoop group')
l3, = plt.plot(t,MEM_3,color='yellow',marker="o",label='3 hadoop group')
l4, = plt.plot(t,MEM_4,color='greenyellow',marker="o",label='4 hadoop group')
l5, = plt.plot(t,MEM_5,color='springgreen',marker="o",label='5 hadoop group')
l6, = plt.plot(t,MEM_6,color='darkslategrey',marker="o",label='6 hadoop group')
l7, = plt.plot(t,MEM_7,color='red',marker="o",label='7 hadoop group')
#l2, = plt.plot(x2,multi,color='red',label='multi hadoop group')
# color: darkorange lightcoral darkgoldenrod yellow greenyellow springgreen darkslategrey deepskyblue fushsia blue
x_ticks = np.arange(0,380,30)
y_ticks = np.arange(0,0.6,0.1)
plt.legend(handles=[l1,l2,l3,l4,l5,l6,l7],labels=['1-hadoop-group-MEM','2-hadoop-group-MEM','3-hadoop-group-MEM','4-hadoop-group-MEM','5-hadoop-group-MEM','6-hadoop-group-MEM','7-hadoop-group-MEM'],loc="best")
plt.xlabel('time unit(seconds)',font2)
plt.ylabel('hadoop occupy MEM unit(% 62G)',font2)
plt.xticks(x_ticks)
plt.yticks(y_ticks)
#plt.savefig('.MEM%.png')
plt.show()
| 104.051724
| 414
| 0.596189
| 1,561
| 6,035
| 2.288917
| 0.162716
| 0.047019
| 0.057375
| 0.089561
| 0.469633
| 0.403303
| 0.402463
| 0.36468
| 0.359082
| 0.357963
| 0
| 0.498756
| 0.133886
| 6,035
| 57
| 415
| 105.877193
| 0.18481
| 0.314002
| 0
| 0.111111
| 0
| 0
| 0.107048
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.055556
| 0
| 0.055556
| 0
| 0
| 0
| 0
| null | 0
| 0
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| 0
| 0
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| 0
| 0
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| 0
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| 1
| 0
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| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
074b9d7491ffbc8fda4dfce94456f63c57933830
| 437
|
py
|
Python
|
Part_3_advanced/m04_datetime_and_timedelta/datetime_formats/example_1.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
Part_3_advanced/m04_datetime_and_timedelta/datetime_formats/example_1.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
Part_3_advanced/m04_datetime_and_timedelta/datetime_formats/example_1.py
|
Mikma03/InfoShareacademy_Python_Courses
|
3df1008c8c92831bebf1625f960f25b39d6987e6
|
[
"MIT"
] | null | null | null |
from datetime import datetime
def run_example():
moment_in_time = datetime.fromordinal(256)
print(moment_in_time)
print(moment_in_time.toordinal())
print(moment_in_time.weekday())
print(moment_in_time.isoweekday())
other_moment = datetime.fromtimestamp(16_000_000)
print(other_moment)
print(other_moment.timestamp())
print(other_moment.isocalendar())
if __name__ == "__main__":
run_example()
| 23
| 53
| 0.734554
| 55
| 437
| 5.363636
| 0.436364
| 0.135593
| 0.20339
| 0.230508
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029891
| 0.157895
| 437
| 18
| 54
| 24.277778
| 0.771739
| 0
| 0
| 0
| 0
| 0
| 0.018307
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.076923
| 0
| 0.153846
| 0.538462
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 3
|
07532f5a10906c237ad3a39209766e0e40d93170
| 3,036
|
py
|
Python
|
maps/views.py
|
WPRDC/neighborhood-simulacrum
|
46892dfdbc8bc3201e31fee4ee991c49b208753e
|
[
"MIT"
] | null | null | null |
maps/views.py
|
WPRDC/neighborhood-simulacrum
|
46892dfdbc8bc3201e31fee4ee991c49b208753e
|
[
"MIT"
] | 6
|
2020-12-18T17:21:35.000Z
|
2021-03-03T21:08:44.000Z
|
maps/views.py
|
WPRDC/neighborhood-simulacrum
|
46892dfdbc8bc3201e31fee4ee991c49b208753e
|
[
"MIT"
] | null | null | null |
import json
from typing import Type, TYPE_CHECKING
from django.core.exceptions import ObjectDoesNotExist
from django.utils.decorators import method_decorator
from django.views.decorators.cache import cache_page
from rest_framework import viewsets, filters
from rest_framework.exceptions import NotFound
from rest_framework.negotiation import BaseContentNegotiation
from rest_framework.permissions import IsAuthenticatedOrReadOnly, AllowAny
from rest_framework.request import Request
from rest_framework.response import Response
from rest_framework.views import APIView
from indicators.models import Variable, DataViz
from indicators.utils import get_geog_model
from indicators.views import GeoJSONRenderer
from maps.models import DataLayer
from maps.serializers import DataLayerSerializer, DataLayerDetailsSerializer
from profiles.settings import VIEW_CACHE_TTL
if TYPE_CHECKING:
from geo.models import AdminRegion
from indicators.models.viz import MiniMap
class DataLayerViewSet(viewsets.ModelViewSet):
queryset = DataLayer.objects.all()
serializer_class = DataLayerSerializer
permission_classes = [IsAuthenticatedOrReadOnly, ]
filter_backends = [filters.SearchFilter, ]
def get_serializer_class(self):
if self.action == 'list':
return DataLayerSerializer
return DataLayerDetailsSerializer
media_type = 'application/geo+json'
format = 'geojson'
def render(self, data, media_type=None, renderer_context=None):
return json.dumps(data)
class GeoJSONContentNegotiation(BaseContentNegotiation):
"""
Custom content negotiation scheme for GeoJSON files.
`GeoJSONRenderer` is used for downloading geojson files
`JSONRenderer` is used for ajax calls.
"""
def select_parser(self, request, parsers):
return super(GeoJSONContentNegotiation, self).select_parser(request, parsers)
def select_renderer(self, request: Request, renderers, format_suffix=None):
renderer = renderers[0]
if request.query_params.get('download', False):
renderer = GeoJSONRenderer()
return renderer, renderer.media_type
class GeoJSONDataLayerView(APIView):
permission_classes = [AllowAny, ]
content_negotiation_class = GeoJSONContentNegotiation
@method_decorator(cache_page(VIEW_CACHE_TTL))
def get(self, request: Request, map_slug=None):
try:
data_layer: DataLayer = DataLayer.objects.get(slug=map_slug)
geojson = data_layer.as_geojson()
except KeyError as e:
# when the geog is wrong todo: make 400 malformed with info on available geo types
raise NotFound
except ObjectDoesNotExist as e:
raise NotFound
if request.query_params.get('download', False):
headers = {
'Content-Disposition': f'attachment; filename="{map_slug}.geojson"'
}
return Response(geojson, headers=headers, content_type='application/geo+json')
return Response(geojson)
| 35.717647
| 94
| 0.745389
| 334
| 3,036
| 6.643713
| 0.386228
| 0.025237
| 0.053628
| 0.019829
| 0.032447
| 0.032447
| 0.032447
| 0
| 0
| 0
| 0
| 0.001625
| 0.189394
| 3,036
| 84
| 95
| 36.142857
| 0.900041
| 0.075758
| 0
| 0.066667
| 0
| 0
| 0.045651
| 0.010424
| 0
| 0
| 0
| 0.011905
| 0
| 1
| 0.083333
| false
| 0
| 0.333333
| 0.033333
| 0.716667
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| null | 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
0762390f8b5995d6cf171f62842c5c4b8e02141e
| 985
|
py
|
Python
|
lib/generate_random_obs.py
|
zehuilu/Learning-from-Sparse-Demonstrations
|
4d652635c24f847fe51bc050773762b549ce41c0
|
[
"MIT"
] | 8
|
2020-08-16T00:09:57.000Z
|
2021-09-24T00:58:46.000Z
|
lib/generate_random_obs.py
|
zehuilu/Learning-from-Sparse-Demonstrations
|
4d652635c24f847fe51bc050773762b549ce41c0
|
[
"MIT"
] | null | null | null |
lib/generate_random_obs.py
|
zehuilu/Learning-from-Sparse-Demonstrations
|
4d652635c24f847fe51bc050773762b549ce41c0
|
[
"MIT"
] | 2
|
2021-01-26T02:33:13.000Z
|
2021-08-25T01:52:07.000Z
|
#!/usr/bin/env python3
import os
import sys
import time
sys.path.append(os.getcwd()+'/lib')
import random
from dataclasses import dataclass, field
from ObsInfo import ObsInfo
def generate_random_obs(num_obs: int, size_list: list, config_data):
"""
config_file_name = "config.json"
json_file = open(config_file_name)
config_data = json.load(json_file)
size_list = [length, width, height]
"""
ObsList = []
if (num_obs > 0.5):
for i in range(0, num_obs):
# random center
center = [random.uniform(config_data["LAB_SPACE_LIMIT"]["LIMIT_X"][0], config_data["LAB_SPACE_LIMIT"]["LIMIT_X"][1]), \
random.uniform(config_data["LAB_SPACE_LIMIT"]["LIMIT_Y"][0], config_data["LAB_SPACE_LIMIT"]["LIMIT_Y"][1]), \
random.uniform(config_data["LAB_SPACE_LIMIT"]["LIMIT_Z"][0], config_data["LAB_SPACE_LIMIT"]["LIMIT_Z"][1])]
ObsList.append( ObsInfo(center, size_list) )
return ObsList
| 30.78125
| 131
| 0.658883
| 139
| 985
| 4.381295
| 0.381295
| 0.131363
| 0.128079
| 0.17734
| 0.357964
| 0.357964
| 0.357964
| 0.205255
| 0.137931
| 0
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| 0.194924
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| 32
| 132
| 30.78125
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| false
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0
| 3
|
4ae54219ff08b6f61e95d73dac2e96ebfcf30193
| 12,521
|
py
|
Python
|
maestros/lookups.py
|
Infinityloopsistemas/SIVA
|
92b6c82f018d39ef405989639974d1f2757476ed
|
[
"BSD-3-Clause"
] | null | null | null |
maestros/lookups.py
|
Infinityloopsistemas/SIVA
|
92b6c82f018d39ef405989639974d1f2757476ed
|
[
"BSD-3-Clause"
] | 1
|
2018-09-27T12:07:19.000Z
|
2018-10-08T15:56:30.000Z
|
maestros/lookups.py
|
Infinityloopsistemas/SIVA
|
92b6c82f018d39ef405989639974d1f2757476ed
|
[
"BSD-3-Clause"
] | 1
|
2018-10-12T13:41:20.000Z
|
2018-10-12T13:41:20.000Z
|
# -*- coding: utf-8 -*-
from selectable.decorators import login_required
from maestros.models import TiposMedidasActuacion, TiposLimitesCriticos, TiposMedidasVigilancia, TiposTemperaturas, TiposFrecuencias, Zonas, Terceros, CatalogoEquipos, Personal, Consumibles, ParametrosAnalisis, Actividades, Etapas, Peligros, TiposCursos, TiposLegislacion, Unidades, Firmas, HorarioTurnos
from selectable.base import ModelLookup
from selectable.registry import registry
from maestros_generales.models import Empresas
from siva import settings
__author__ = 'julian'
@login_required
class TPActuacionPrevLookup(ModelLookup):
model = TiposMedidasActuacion
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TPActuacionPrevLookup, self).get_query(request, term)
results = results.filter(tipo="P",empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TPActuacionPrevLookup)
@login_required
class TPActuacionCorrLookup(ModelLookup):
model = TiposMedidasActuacion
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TPActuacionCorrLookup, self).get_query(request, term)
results = results.filter(tipo="C",empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TPActuacionCorrLookup)
@login_required
class TPLimitesCritLookup(ModelLookup):
model = TiposLimitesCriticos
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TPLimitesCritLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TPLimitesCritLookup)
@login_required
class ActividadesLookup(ModelLookup):
model = Actividades
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(ActividadesLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(ActividadesLookup)
@login_required
class TipoMedidasVigilanciaLookup(ModelLookup):
model = TiposMedidasVigilancia
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TipoMedidasVigilanciaLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TipoMedidasVigilanciaLookup)
@login_required
class TiposTemperaturasLookup(ModelLookup):
model = TiposTemperaturas
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TiposTemperaturasLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TiposTemperaturasLookup)
@login_required
class TiposFrecuenciasLookup(ModelLookup):
model = TiposFrecuencias
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TiposFrecuenciasLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TiposFrecuenciasLookup)
@login_required
class ZonasLookup(ModelLookup):
model = Zonas
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(ZonasLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(ZonasLookup)
@login_required
class TercerosLookup(ModelLookup):
model = Terceros
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TercerosLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TercerosLookup)
@login_required
class TercerosTiposLookup(ModelLookup):
model = Terceros
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TercerosTiposLookup, self).get_query(request, term)
results = results.filter(tipotercero__descripcion=settings.ASESORSANITARIO, empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TercerosTiposLookup)
@login_required
class CatalogoEquiposLookup(ModelLookup):
model = CatalogoEquipos
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(CatalogoEquiposLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(CatalogoEquiposLookup)
@login_required
class PersonalLookup(ModelLookup):
model = Personal
search_fields = ('apellidos__icontains',)
def get_query(self, request, term):
results = super(PersonalLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.apellidos
def get_item_label(self, item):
return "%s %s" % (item.apellidos, item.nombres)
registry.register(PersonalLookup)
@login_required
class TiposCursosLookup(ModelLookup):
model = TiposCursos
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TiposCursosLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TiposCursosLookup)
@login_required
class TiposLegislacionLookup(ModelLookup):
model = TiposLegislacion
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(TiposLegislacionLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(TiposLegislacionLookup)
@login_required
class ConsumiblesLookup(ModelLookup):
model = Consumibles
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(ConsumiblesLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(ConsumiblesLookup)
@login_required
class ParametrosAnalisisLookup(ModelLookup):
model = ParametrosAnalisis
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(ParametrosAnalisisLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(ParametrosAnalisisLookup)
@login_required
class EtapasLookup(ModelLookup):
model = Etapas
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(EtapasLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(EtapasLookup)
@login_required
class PeligrosLookup(ModelLookup):
model = Peligros
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(PeligrosLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(PeligrosLookup)
@login_required
class UnidadesLookup(ModelLookup):
model = Unidades
search_fields = ('denominacion__icontains',)
def get_query(self, request, term):
results = super(UnidadesLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.denominacion
def get_item_label(self, item):
return "%s" % (item.denominacion)
registry.register(UnidadesLookup)
@login_required
class FirmasLookup(ModelLookup):
model = Firmas
search_fields = ('personal__apellidos__icontains',)
def get_query(self, request, term):
results = super(FirmasLookup, self).get_query(request, term)
results = results.filter(empresa__in=Empresas.objects.filter(usuario__username=request.user))
return results
def get_item_value(self, item):
return item.personal.apellidos
def get_item_label(self, item):
return "%s %s" % (item.personal__apellidos, item.personal__nombres)
registry.register(FirmasLookup)
@login_required
class HorarioTurnoLookup(ModelLookup):
model = HorarioTurnos
search_fields = ('ihora__icontains','fhora__icontains')
def get_query(self, request, term):
results = super(HorarioTurnoLookup, self).get_query(request, term)
idtpturno = request.GET.get('idtpturno', '')
if idtpturno:
results = results.filter(tpturnos_id=idtpturno)
return results
def get_item_value(self, item):
return "%s - %s" % (item.ihora, item.fhora)
def get_item_label(self, item):
return "%s - %s" % (item.ihora, item.fhora)
registry.register(HorarioTurnoLookup)
| 31.459799
| 304
| 0.72614
| 1,363
| 12,521
| 6.445341
| 0.074101
| 0.043028
| 0.047809
| 0.037564
| 0.685373
| 0.682755
| 0.682755
| 0.682755
| 0.67786
| 0.653159
| 0
| 0.000097
| 0.177382
| 12,521
| 397
| 305
| 31.539043
| 0.852816
| 0.001677
| 0
| 0.64539
| 0
| 0
| 0.045851
| 0.035529
| 0
| 0
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| 0
| 1
| 0.223404
| false
| 0
| 0.021277
| 0.148936
| 0.691489
| 0
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| null | 0
| 0
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| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 0
| 0
|
0
| 3
|
4afdfa383647f87d1307da42b1ada1260c01b5fa
| 127
|
py
|
Python
|
hubconf.py
|
jamesmcclain/pytorch-multi-class-focal-loss
|
de74657769e07dc40be838a6277dea269bfddad0
|
[
"MIT"
] | 81
|
2020-10-20T23:46:47.000Z
|
2022-03-16T15:56:40.000Z
|
hubconf.py
|
jamesmcclain/pytorch-multi-class-focal-loss
|
de74657769e07dc40be838a6277dea269bfddad0
|
[
"MIT"
] | 3
|
2020-10-12T13:34:02.000Z
|
2022-03-29T13:39:26.000Z
|
hubconf.py
|
jamesmcclain/pytorch-multi-class-focal-loss
|
de74657769e07dc40be838a6277dea269bfddad0
|
[
"MIT"
] | 12
|
2020-10-09T18:36:50.000Z
|
2021-12-02T06:37:04.000Z
|
# Optional list of dependencies required by the package
dependencies = ['torch']
from focal_loss import FocalLoss, focal_loss
| 25.4
| 55
| 0.80315
| 17
| 127
| 5.882353
| 0.823529
| 0.18
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.141732
| 127
| 4
| 56
| 31.75
| 0.917431
| 0.417323
| 0
| 0
| 0
| 0
| 0.069444
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
ab0c9b875cdd149ecbc52dfdd37e40b2bcaaf2e8
| 416
|
py
|
Python
|
setup.py
|
darlenew/pytest-testplan
|
85ef0c196efced681b6559328b3db3d409b2612d
|
[
"MIT"
] | null | null | null |
setup.py
|
darlenew/pytest-testplan
|
85ef0c196efced681b6559328b3db3d409b2612d
|
[
"MIT"
] | null | null | null |
setup.py
|
darlenew/pytest-testplan
|
85ef0c196efced681b6559328b3db3d409b2612d
|
[
"MIT"
] | null | null | null |
"""Setup for pytest-testplan plugin."""
from setuptools import setup
setup(
name='pytest-testplan',
version='0.1.0',
description='A pytest plugin to generate a CSV test report.',
author='Darlene Wong',
author_email='darlene.py@gmail.com',
license='MIT',
py_modules=['pytest_testplan'],
install_requires=['pytest'],
entry_points={'pytest11': ['testplan = pytest_testplan', ]},
)
| 26
| 65
| 0.673077
| 51
| 416
| 5.372549
| 0.666667
| 0.20438
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.014451
| 0.168269
| 416
| 15
| 66
| 27.733333
| 0.777457
| 0.079327
| 0
| 0
| 1
| 0
| 0.413793
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.083333
| 0
| 0.083333
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
ab1934eb319ba24ec86beec019a4db6fcc3fa01b
| 698
|
py
|
Python
|
2017/lab_dh/utils.py
|
JustHitTheCore/ctf_workshops
|
d50e8a5c90e80cdae3e17a92bce83955f0618570
|
[
"MIT"
] | 7
|
2016-12-27T17:32:43.000Z
|
2019-03-27T07:15:23.000Z
|
2017/lab_dh/utils.py
|
JustHitTheCore/ctf_workshops
|
d50e8a5c90e80cdae3e17a92bce83955f0618570
|
[
"MIT"
] | 1
|
2017-12-07T02:21:29.000Z
|
2017-12-07T02:21:29.000Z
|
2017/lab_dh/utils.py
|
JustHitTheCore/ctf_workshops
|
d50e8a5c90e80cdae3e17a92bce83955f0618570
|
[
"MIT"
] | 1
|
2017-01-08T01:49:05.000Z
|
2017-01-08T01:49:05.000Z
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
'''
~Gros
'''
from hashlib import sha256
import random
def add_padding(data, block_size=16):
"""add PKCS#7 padding"""
size = block_size - (len(data)%block_size)
return data+chr(size)*size
def strip_padding(data, block_size=16):
"""strip PKCS#7 padding"""
padding = ord(data[-1])
if padding == 0 or padding > block_size or data[-padding:] != chr(padding)*padding:
raise Exception("Invalid padding")
return data[:-padding]
def random_bytes(amount=1):
return ''.join([chr(random.randint(0,255)) for x in range(amount)])
def derive_key(key_int, block_size=16):
return sha256(str(key_int)).digest()[:16]
| 22.516129
| 87
| 0.659026
| 104
| 698
| 4.307692
| 0.461538
| 0.120536
| 0.087054
| 0.089286
| 0.098214
| 0
| 0
| 0
| 0
| 0
| 0
| 0.041594
| 0.173352
| 698
| 31
| 88
| 22.516129
| 0.734835
| 0.126075
| 0
| 0
| 0
| 0
| 0.025338
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0.142857
| 0.714286
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
ab43951bf5dc988e3a4948ac307ca905f1536445
| 223
|
py
|
Python
|
Programas do Curso/Desafio 2.py
|
carvalhopedro22/Programas-em-python-cursos-e-geral-
|
970e1ebe6cdd1e31f52dfd60328c2203d4de3ef1
|
[
"MIT"
] | null | null | null |
Programas do Curso/Desafio 2.py
|
carvalhopedro22/Programas-em-python-cursos-e-geral-
|
970e1ebe6cdd1e31f52dfd60328c2203d4de3ef1
|
[
"MIT"
] | null | null | null |
Programas do Curso/Desafio 2.py
|
carvalhopedro22/Programas-em-python-cursos-e-geral-
|
970e1ebe6cdd1e31f52dfd60328c2203d4de3ef1
|
[
"MIT"
] | null | null | null |
nome = input('Qual o seu nome? ')
dia = input('Que dia do mês você nasceu? ')
mes = input('Qual o mês em que você nasceu? ')
ano = input('Qual o ano em que você nasceu? ')
print(nome, 'nasceu em', dia,'de',mes,'do ano',ano)
| 44.6
| 51
| 0.650224
| 42
| 223
| 3.452381
| 0.380952
| 0.186207
| 0.206897
| 0.206897
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.179372
| 223
| 5
| 51
| 44.6
| 0.79235
| 0
| 0
| 0
| 0
| 0
| 0.553571
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.2
| 0
| 0
| 0
| null | 0
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
ab5634ebc042f640696c7b2e6eb9efb69e3e48b5
| 258
|
py
|
Python
|
app/models/product.py
|
VyachAp/SalesFABackend
|
dcbe1b5106c030ee07535795dfd7b97613a1203d
|
[
"MIT"
] | 80
|
2020-10-06T00:35:57.000Z
|
2022-03-31T19:56:24.000Z
|
app/models/product.py
|
VyachAp/SalesFABackend
|
dcbe1b5106c030ee07535795dfd7b97613a1203d
|
[
"MIT"
] | 1
|
2021-03-28T06:17:41.000Z
|
2021-04-03T06:41:09.000Z
|
app/models/product.py
|
VyachAp/SalesFABackend
|
dcbe1b5106c030ee07535795dfd7b97613a1203d
|
[
"MIT"
] | 24
|
2020-11-14T03:04:43.000Z
|
2022-03-11T15:44:44.000Z
|
from sqlalchemy import Column, Integer, String, Float
from app.database.base_class import Base
class Product(Base):
id = Column(Integer, primary_key=True, index=True)
name = Column(String, nullable=False)
price = Column(Float, nullable=False)
| 25.8
| 54
| 0.744186
| 35
| 258
| 5.428571
| 0.6
| 0.136842
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.158915
| 258
| 9
| 55
| 28.666667
| 0.875576
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.333333
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
db4793142f42cba39f558b2249770456a14a7e8a
| 600
|
py
|
Python
|
relaax/algorithms/ddpg/parameter_server.py
|
deeplearninc/relaax
|
a0cf280486dc74dca3857c85ec0e4c34e88d6b2b
|
[
"MIT"
] | 71
|
2017-01-25T00:26:20.000Z
|
2021-02-17T12:39:20.000Z
|
relaax/algorithms/ddpg/parameter_server.py
|
deeplearninc/relaax
|
a0cf280486dc74dca3857c85ec0e4c34e88d6b2b
|
[
"MIT"
] | 69
|
2017-01-23T19:29:23.000Z
|
2018-08-21T13:26:39.000Z
|
relaax/algorithms/ddpg/parameter_server.py
|
deeplearninc/relaax
|
a0cf280486dc74dca3857c85ec0e4c34e88d6b2b
|
[
"MIT"
] | 13
|
2017-01-23T21:18:09.000Z
|
2019-01-29T23:48:30.000Z
|
from __future__ import absolute_import
from relaax.server.parameter_server import parameter_server_base
from relaax.server.common import session
from . import ddpg_model
class ParameterServer(parameter_server_base.ParameterServerBase):
def init_session(self):
self.session = session.Session(ddpg_model.SharedParameters())
self.session.op_initialize()
self.session.op_init_target_weights()
def n_step(self):
return self.session.op_n_step()
def score(self):
return self.session.op_score()
def get_session(self):
return self.session
| 27.272727
| 69
| 0.745
| 76
| 600
| 5.592105
| 0.368421
| 0.155294
| 0.122353
| 0.148235
| 0.108235
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.178333
| 600
| 21
| 70
| 28.571429
| 0.862069
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.266667
| false
| 0
| 0.266667
| 0.2
| 0.8
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
db626314c3f603e0417951997ccb255cc99fda86
| 2,900
|
py
|
Python
|
evaluation/dmp_behavior.py
|
rock-learning/approxik
|
877d50d4d045457593a2fafefd267339a11de20f
|
[
"BSD-3-Clause"
] | 1
|
2020-03-27T01:53:57.000Z
|
2020-03-27T01:53:57.000Z
|
evaluation/dmp_behavior.py
|
rock-learning/approxik
|
877d50d4d045457593a2fafefd267339a11de20f
|
[
"BSD-3-Clause"
] | null | null | null |
evaluation/dmp_behavior.py
|
rock-learning/approxik
|
877d50d4d045457593a2fafefd267339a11de20f
|
[
"BSD-3-Clause"
] | 1
|
2020-12-18T02:09:21.000Z
|
2020-12-18T02:09:21.000Z
|
# Author: Alexander Fabisch <Alexander.Fabisch@dfki.de>
import numpy as np
from bolero.representation import BlackBoxBehavior
from bolero.representation import DMPBehavior as DMPBehaviorImpl
class DMPBehavior(BlackBoxBehavior):
"""Dynamical Movement Primitive.
Parameters
----------
execution_time : float, optional (default: 1)
Execution time of the DMP in seconds.
dt : float, optional (default: 0.01)
Time between successive steps in seconds.
n_features : int, optional (default: 50)
Number of RBF features for each dimension of the DMP.
configuration_file : string, optional (default: None)
Name of a configuration file that should be used to initialize the DMP.
If it is set all other arguments will be ignored.
"""
def __init__(self, execution_time=1.0, dt=0.01, n_features=50,
configuration_file=None):
self.dmp = DMPBehaviorImpl(execution_time, dt, n_features,
configuration_file)
def init(self, n_inputs, n_outputs):
"""Initialize the behavior.
Parameters
----------
n_inputs : int
number of inputs
n_outputs : int
number of outputs
"""
self.dmp.init(3 * n_inputs, 3 * n_outputs)
self.n_joints = n_inputs
self.x = np.empty(3 * self.n_joints)
self.x[:] = np.nan
def reset(self):
self.dmp.reset()
self.x[:] = 0.0
def set_inputs(self, inputs):
self.x[:self.n_joints] = inputs[:]
def can_step(self):
return self.dmp.can_step()
def step(self):
self.dmp.set_inputs(self.x)
self.dmp.step()
self.dmp.get_outputs(self.x)
def get_outputs(self, outputs):
outputs[:] = self.x[:self.n_joints]
def get_n_params(self):
return self.dmp.get_n_params()
def get_params(self):
return self.dmp.get_params()
def set_params(self, params):
self.dmp.set_params(params)
def set_meta_parameters(self, keys, values):
self.dmp.set_meta_parameters(keys, values)
def trajectory(self):
return self.dmp.trajectory()
class DMPBehaviorWithGoalParams(DMPBehavior):
def __init__(self, goal, execution_time=1.0, dt=0.01, n_features=50,
configuration_file=None):
super(DMPBehaviorWithGoalParams, self).__init__(
execution_time, dt, n_features, configuration_file)
self.params = np.copy(goal)
def set_meta_parameters(self, keys, values):
self.dmp.set_meta_parameters(keys, values)
self.set_params(self.params)
def get_n_params(self):
return len(self.params)
def get_params(self):
return self.params
def set_params(self, params):
self.params[:] = params
self.dmp.set_meta_parameters(["g"], [self.params])
| 28.712871
| 79
| 0.633103
| 372
| 2,900
| 4.755376
| 0.252688
| 0.055399
| 0.03957
| 0.03844
| 0.321085
| 0.289429
| 0.254381
| 0.13567
| 0.13567
| 0.13567
| 0
| 0.01171
| 0.263793
| 2,900
| 100
| 80
| 29
| 0.816862
| 0.236897
| 0
| 0.230769
| 0
| 0
| 0.000477
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.326923
| false
| 0
| 0.057692
| 0.115385
| 0.538462
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
db7bb396855ddfa537f07ed9527e3bc449422f2a
| 274
|
py
|
Python
|
bin/Python27/Lib/site-packages/tables/utilsExtension.py
|
lefevre-fraser/openmeta-mms
|
08f3115e76498df1f8d70641d71f5c52cab4ce5f
|
[
"MIT"
] | null | null | null |
bin/Python27/Lib/site-packages/tables/utilsExtension.py
|
lefevre-fraser/openmeta-mms
|
08f3115e76498df1f8d70641d71f5c52cab4ce5f
|
[
"MIT"
] | null | null | null |
bin/Python27/Lib/site-packages/tables/utilsExtension.py
|
lefevre-fraser/openmeta-mms
|
08f3115e76498df1f8d70641d71f5c52cab4ce5f
|
[
"MIT"
] | null | null | null |
from warnings import warn
from tables.utilsextension import *
_warnmsg = ("utilsExtension is pending deprecation, import utilsextension instead. "
"You may use the pt2to3 tool to update your source code.")
warn(_warnmsg, DeprecationWarning, stacklevel=2)
| 39.142857
| 85
| 0.751825
| 32
| 274
| 6.375
| 0.78125
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013453
| 0.186131
| 274
| 6
| 86
| 45.666667
| 0.901345
| 0
| 0
| 0
| 0
| 0
| 0.466418
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.6
| 0
| 0.6
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
db7ce31c6a43ef5813c6d71caa6c1ea9655847e6
| 188
|
py
|
Python
|
dashboard_analytics/tasks/transaction_processor.py
|
Astewart1510/pvt-algoranddashboard
|
6fb6cf37b483339f24cc86f0a95fb2245be492ca
|
[
"MIT"
] | null | null | null |
dashboard_analytics/tasks/transaction_processor.py
|
Astewart1510/pvt-algoranddashboard
|
6fb6cf37b483339f24cc86f0a95fb2245be492ca
|
[
"MIT"
] | null | null | null |
dashboard_analytics/tasks/transaction_processor.py
|
Astewart1510/pvt-algoranddashboard
|
6fb6cf37b483339f24cc86f0a95fb2245be492ca
|
[
"MIT"
] | null | null | null |
from dashboard_analytics.models import AccountType, InstrumentType, Account, Transaction
def process_json_transactions(transactions):
for txn in transactions:
print(txn["pk"])
| 37.6
| 88
| 0.787234
| 21
| 188
| 6.904762
| 0.857143
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.138298
| 188
| 5
| 89
| 37.6
| 0.895062
| 0
| 0
| 0
| 0
| 0
| 0.010582
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.25
| 0
| 0.5
| 0.25
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
db80f4198878eb7bd4645b74c2bea6781e993672
| 4,663
|
py
|
Python
|
examples/pybullet/vr_kuka_setup.py
|
q4a/bullet3
|
b077f74f5675fb9ca7bafd238f097f87bf6c0367
|
[
"Zlib"
] | 12
|
2017-08-24T05:58:53.000Z
|
2021-07-15T17:32:26.000Z
|
examples/pybullet/vr_kuka_setup.py
|
mofed8461/BulletPhysics-EarthQuakeSimulation
|
d411684d0293a18039d4180f5bc8dab33d063fce
|
[
"Zlib"
] | null | null | null |
examples/pybullet/vr_kuka_setup.py
|
mofed8461/BulletPhysics-EarthQuakeSimulation
|
d411684d0293a18039d4180f5bc8dab33d063fce
|
[
"Zlib"
] | 2
|
2018-01-13T07:49:58.000Z
|
2020-10-21T02:48:25.000Z
|
import pybullet as p
#p.connect(p.UDP,"192.168.86.100")
p.connect(p.SHARED_MEMORY)
p.resetSimulation()
objects = [p.loadURDF("plane.urdf", 0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,1.000000)]
objects = [p.loadURDF("samurai.urdf", 0.000000,0.000000,0.000000,0.000000,0.000000,0.000000,1.000000)]
objects = [p.loadURDF("pr2_gripper.urdf", 0.500000,0.300006,0.700000,-0.000000,-0.000000,-0.000031,1.000000)]
pr2_gripper = objects[0]
print ("pr2_gripper=")
print (pr2_gripper)
jointPositions=[ 0.550569, 0.000000, 0.549657, 0.000000 ]
for jointIndex in range (p.getNumJoints(pr2_gripper)):
p.resetJointState(pr2_gripper,jointIndex,jointPositions[jointIndex])
pr2_cid = p.createConstraint(pr2_gripper,-1,-1,-1,p.JOINT_FIXED,[0,0,0],[0.2,0,0],[0.500000,0.300006,0.700000])
print ("pr2_cid")
print (pr2_cid)
objects = [p.loadURDF("kuka_iiwa/model_vr_limits.urdf", 1.400000,-0.200000,0.600000,0.000000,0.000000,0.000000,1.000000)]
kuka = objects[0]
jointPositions=[ -0.000000, -0.000000, 0.000000, 1.570793, 0.000000, -1.036725, 0.000001 ]
for jointIndex in range (p.getNumJoints(kuka)):
p.resetJointState(kuka,jointIndex,jointPositions[jointIndex])
p.setJointMotorControl2(kuka,jointIndex,p.POSITION_CONTROL,jointPositions[jointIndex],0)
objects = [p.loadURDF("lego/lego.urdf", 1.000000,-0.200000,0.700000,0.000000,0.000000,0.000000,1.000000)]
objects = [p.loadURDF("lego/lego.urdf", 1.000000,-0.200000,0.800000,0.000000,0.000000,0.000000,1.000000)]
objects = [p.loadURDF("lego/lego.urdf", 1.000000,-0.200000,0.900000,0.000000,0.000000,0.000000,1.000000)]
objects = p.loadSDF("gripper/wsg50_one_motor_gripper_new_free_base.sdf")
kuka_gripper = objects[0]
print ("kuka gripper=")
print(kuka_gripper)
p.resetBasePositionAndOrientation(kuka_gripper,[0.923103,-0.200000,1.250036],[-0.000000,0.964531,-0.000002,-0.263970])
jointPositions=[ 0.000000, -0.011130, -0.206421, 0.205143, -0.009999, 0.000000, -0.010055, 0.000000 ]
for jointIndex in range (p.getNumJoints(kuka_gripper)):
p.resetJointState(kuka_gripper,jointIndex,jointPositions[jointIndex])
p.setJointMotorControl2(kuka_gripper,jointIndex,p.POSITION_CONTROL,jointPositions[jointIndex],0)
kuka_cid = p.createConstraint(kuka, 6, kuka_gripper,0,p.JOINT_FIXED, [0,0,0], [0,0,0.05],[0,0,0])
objects = [p.loadURDF("jenga/jenga.urdf", 1.300000,-0.700000,0.750000,0.000000,0.707107,0.000000,0.707107)]
objects = [p.loadURDF("jenga/jenga.urdf", 1.200000,-0.700000,0.750000,0.000000,0.707107,0.000000,0.707107)]
objects = [p.loadURDF("jenga/jenga.urdf", 1.100000,-0.700000,0.750000,0.000000,0.707107,0.000000,0.707107)]
objects = [p.loadURDF("jenga/jenga.urdf", 1.000000,-0.700000,0.750000,0.000000,0.707107,0.000000,0.707107)]
objects = [p.loadURDF("jenga/jenga.urdf", 0.900000,-0.700000,0.750000,0.000000,0.707107,0.000000,0.707107)]
objects = [p.loadURDF("jenga/jenga.urdf", 0.800000,-0.700000,0.750000,0.000000,0.707107,0.000000,0.707107)]
objects = [p.loadURDF("table/table.urdf", 1.000000,-0.200000,0.000000,0.000000,0.000000,0.707107,0.707107)]
objects = [p.loadURDF("teddy_vhacd.urdf", 1.050000,-0.500000,0.700000,0.000000,0.000000,0.707107,0.707107)]
objects = [p.loadURDF("cube_small.urdf", 0.950000,-0.100000,0.700000,0.000000,0.000000,0.707107,0.707107)]
objects = [p.loadURDF("sphere_small.urdf", 0.850000,-0.400000,0.700000,0.000000,0.000000,0.707107,0.707107)]
objects = [p.loadURDF("duck_vhacd.urdf", 0.850000,-0.400000,0.900000,0.000000,0.000000,0.707107,0.707107)]
objects = p.loadSDF("kiva_shelf/model.sdf")
ob = objects[0]
p.resetBasePositionAndOrientation(ob,[0.000000,1.000000,1.204500],[0.000000,0.000000,0.000000,1.000000])
objects = [p.loadURDF("teddy_vhacd.urdf", -0.100000,0.600000,0.850000,0.000000,0.000000,0.000000,1.000000)]
objects = [p.loadURDF("sphere_small.urdf", -0.100000,0.955006,1.169706,0.633232,-0.000000,-0.000000,0.773962)]
objects = [p.loadURDF("cube_small.urdf", 0.300000,0.600000,0.850000,0.000000,0.000000,0.000000,1.000000)]
objects = [p.loadURDF("table_square/table_square.urdf", -1.000000,0.000000,0.000000,0.000000,0.000000,0.000000,1.000000)]
ob = objects[0]
jointPositions=[ 0.000000 ]
for jointIndex in range (p.getNumJoints(ob)):
p.resetJointState(ob,jointIndex,jointPositions[jointIndex])
objects = [p.loadURDF("husky/husky.urdf", 2.000000,-5.000000,1.000000,0.000000,0.000000,0.000000,1.000000)]
ob = objects[0]
jointPositions=[ 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000, 0.000000 ]
for jointIndex in range (p.getNumJoints(ob)):
p.resetJointState(ob,jointIndex,jointPositions[jointIndex])
p.setGravity(0.000000,0.000000,0.000000)
p.setGravity(0,0,-10)
p.stepSimulation()
p.disconnect()
| 58.2875
| 121
| 0.749517
| 793
| 4,663
| 4.354351
| 0.138714
| 0.188532
| 0.171445
| 0.206777
| 0.668404
| 0.663481
| 0.590211
| 0.494932
| 0.463076
| 0.450623
| 0
| 0.347974
| 0.052756
| 4,663
| 79
| 122
| 59.025316
| 0.433779
| 0.007077
| 0
| 0.107692
| 0
| 0
| 0.103694
| 0.023547
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.015385
| 0
| 0.015385
| 0.092308
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 0
|
0
| 3
|
db867f235dd317f96cc49c5953d0a91169b52a4a
| 3,977
|
py
|
Python
|
src/tone.py
|
devanshslnk/HelpOff
|
bbeddc8bbb9d26bbc85f572d4769fc9fc92d5c4a
|
[
"MIT"
] | 2
|
2018-10-08T06:01:42.000Z
|
2021-06-22T08:35:11.000Z
|
src/tone.py
|
devanshslnk/HelpOff
|
bbeddc8bbb9d26bbc85f572d4769fc9fc92d5c4a
|
[
"MIT"
] | null | null | null |
src/tone.py
|
devanshslnk/HelpOff
|
bbeddc8bbb9d26bbc85f572d4769fc9fc92d5c4a
|
[
"MIT"
] | 3
|
2018-10-09T19:04:14.000Z
|
2019-01-22T11:59:28.000Z
|
from __future__ import print_function
import json
from os.path import join, dirname
from watson_developer_cloud import ToneAnalyzerV3
from watson_developer_cloud.tone_analyzer_v3 import ToneInput
from pprint import pprint
# If service instance provides API key authentication
# service = ToneAnalyzerV3(
# ## url is optional, and defaults to the URL below. Use the correct URL for your region.
# url='https://gateway.watsonplatform.net/tone-analyzer/api',
# version='2017-09-21',
# iam_apikey='your_apikey')
service = ToneAnalyzerV3(
## url is optional, and defaults to the URL below. Use the correct URL for your region.
# url='https://gateway.watsonplatform.net/tone-analyzer/api',
username='f0ec47cc-5191-4421-8fca-2395917e1640',
password='q7JOpjOabiY5',
version='2017-09-21')
# print("\ntone_chat() example 1:\n")
# utterances = [{
# 'text': 'I am very happy.',
# 'user': 'glenn'
# }, {
# 'text': 'It is a good day.',
# 'user': 'glenn'
# }]
# tone_chat = service.tone_chat(utterances).get_result()
# print(json.dumps(tone_chat, indent=2))
# print("\ntone() example 1:\n")
# print(
# json.dumps(
# service.tone(
# tone_input='I am very happy. It is a good day.',
# content_type="text/plain").get_result(),
# indent=2))
# print("\ntone() example 2:\n")
# with open(join(dirname(__file__),
# '../resources/tone-example.json')) as tone_json:
# tone = service.tone(json.load(tone_json)['text'], "text/plain").get_result()
# print(json.dumps(tone, indent=2))
# print("\ntone() example 3:\n")
# with open(join(dirname(__file__),
# '../resources/tone-example.json')) as tone_json:
# tone = service.tone(
# tone_input=json.load(tone_json)['text'],
# content_type='text/plain',
# sentences=True).get_result()
# print(json.dumps(tone, indent=2))
# print("\ntone() example 4:\n")
# with open(join(dirname(__file__),
# '../resources/tone-example.json')) as tone_json:
# tone = service.tone(
# tone_input=json.load(tone_json),
# content_type='application/json').get_result()
# print(json.dumps(tone, indent=2))
# print("\ntone() example 5:\n")
# with open(join(dirname(__file__),
# '../resources/tone-example-html.json')) as tone_html:
# tone = service.tone(
# json.load(tone_html)['text'], content_type='text/html').get_result()
# print(json.dumps(tone, indent=2))
# print("\ntone() example 6 with GDPR support:\n")
# service.set_detailed_response(True)
# with open(join(dirname(__file__),
# '../resources/tone-example-html.json')) as tone_html:
# tone = service.tone(
# json.load(tone_html)['text'],
# content_type='text/html',
# headers={
# 'Custom-Header': 'custom_value'
# })
# print(tone)
# print(tone.get_headers())
# print(tone.get_result())
# print(tone.get_status_code())
# service.set_detailed_response(False)
# print("\ntone() example 7:\n")
test_tone="Hi Team, The times are difficult! Our sales have been disappointing for the past three quarters for our data analytics product suite. We have a competitive data analytics product suite in the industry. However, we are not doing a good job at selling it, and this is really frustrating.We are missing critical sales opportunities. We cannot blame the economy for our lack of execution. Our clients need analytical tools to change their current business outcomes. In fact, it is in times such as this, our clients want to get the insights they need to turn their businesses around. It is disheartening to see that we are failing at closing deals, in such a hungry market. Let's buckle up and execute.Jennifer BakerSales Leader, North-East region"
tone_input = ToneInput(test_tone)
result = service.tone(tone_input=tone_input, content_type="application/json").get_result()
# print(type(json.dumps(tone, indent=2)))
pprint(result)
| 41.863158
| 755
| 0.681167
| 554
| 3,977
| 4.750903
| 0.333935
| 0.027356
| 0.037234
| 0.038754
| 0.448708
| 0.409195
| 0.394377
| 0.369301
| 0.369301
| 0.368921
| 0
| 0.018354
| 0.178024
| 3,977
| 95
| 756
| 41.863158
| 0.786785
| 0.644959
| 0
| 0
| 0
| 0.071429
| 0.609247
| 0.026846
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.071429
| 0.428571
| 0
| 0.428571
| 0.214286
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 0
| 0
| 0
|
0
| 3
|
db8d61593765031987787c7a317fdb992cec34a2
| 779
|
py
|
Python
|
app/deps.py
|
jshwi/jss
|
b9f29d47c63cd57d0efc1abec37152e97a92049f
|
[
"MIT"
] | 1
|
2021-11-07T14:50:00.000Z
|
2021-11-07T14:50:00.000Z
|
app/deps.py
|
jshwi/jss
|
b9f29d47c63cd57d0efc1abec37152e97a92049f
|
[
"MIT"
] | 75
|
2021-09-30T03:33:57.000Z
|
2022-03-29T08:42:07.000Z
|
app/deps.py
|
jshwi/jss
|
b9f29d47c63cd57d0efc1abec37152e97a92049f
|
[
"MIT"
] | null | null | null |
"""
app.deps
========
Register dependencies that are not part of a ``Flask`` extension.
"""
from flask import Flask
from redis import Redis
from rq import Queue
def init_app(app: Flask) -> None:
"""Register application helpers that are not ``Flask-`` extensions.
As these are not ``Flask`` extensions they do not have an
``init_app`` method, and so can be attached to the app by declaring
them as instance attributes.
.. todo:: These are not declared in ``__init__`` and are a bit of a
code-smell. Using ``flask.g`` may be more appropriate...
:param app: Application factory object.
"""
app.redis = Redis.from_url(app.config["REDIS_URL"]) # type: ignore
app.task_queue = Queue("jss-tasks", connection=app.redis) # type: ignore
| 29.961538
| 77
| 0.677792
| 115
| 779
| 4.513043
| 0.556522
| 0.046243
| 0.038536
| 0.080925
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.202824
| 779
| 25
| 78
| 31.16
| 0.835749
| 0.6457
| 0
| 0
| 0
| 0
| 0.077253
| 0
| 0
| 0
| 0
| 0.04
| 0
| 1
| 0.166667
| false
| 0
| 0.5
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
dbad9f49539fab32473ae89e8b92b989783f9cfd
| 89
|
py
|
Python
|
webBlog/apps.py
|
JordanBRoberts/python-theBand
|
1e475a45a42b210c722ab43c0b966d7b58d97a9d
|
[
"MIT"
] | null | null | null |
webBlog/apps.py
|
JordanBRoberts/python-theBand
|
1e475a45a42b210c722ab43c0b966d7b58d97a9d
|
[
"MIT"
] | null | null | null |
webBlog/apps.py
|
JordanBRoberts/python-theBand
|
1e475a45a42b210c722ab43c0b966d7b58d97a9d
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class WebblogConfig(AppConfig):
name = 'webBlog'
| 14.833333
| 33
| 0.752809
| 10
| 89
| 6.7
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.168539
| 89
| 5
| 34
| 17.8
| 0.905405
| 0
| 0
| 0
| 0
| 0
| 0.078652
| 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
| 0
| 0
|
0
| 3
|
dbb47fb9bbbb993b07541531acf7c95109ac62eb
| 142
|
py
|
Python
|
top/urls.py
|
pbexe/nextbike-top
|
eca086406cf6b96d6e086dd0fa9ecae5b6364f4d
|
[
"MIT"
] | null | null | null |
top/urls.py
|
pbexe/nextbike-top
|
eca086406cf6b96d6e086dd0fa9ecae5b6364f4d
|
[
"MIT"
] | null | null | null |
top/urls.py
|
pbexe/nextbike-top
|
eca086406cf6b96d6e086dd0fa9ecae5b6364f4d
|
[
"MIT"
] | null | null | null |
from django.urls import include, path
from .views import home, bike
urlpatterns = [
path("", home),
path("bike/<int:number>", bike)
]
| 20.285714
| 37
| 0.661972
| 19
| 142
| 4.947368
| 0.631579
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.183099
| 142
| 7
| 38
| 20.285714
| 0.810345
| 0
| 0
| 0
| 0
| 0
| 0.118881
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
dbbee95cb22f9ddebb8ee025c418f2636a32f8bb
| 790
|
py
|
Python
|
shape_similarity.py
|
Toonwire/infancy_eye_tracking
|
7b96a9d832f60f83fd5098ada2117ab1d0f56fed
|
[
"MIT"
] | null | null | null |
shape_similarity.py
|
Toonwire/infancy_eye_tracking
|
7b96a9d832f60f83fd5098ada2117ab1d0f56fed
|
[
"MIT"
] | null | null | null |
shape_similarity.py
|
Toonwire/infancy_eye_tracking
|
7b96a9d832f60f83fd5098ada2117ab1d0f56fed
|
[
"MIT"
] | null | null | null |
# -*- coding: utf-8 -*-
"""
Created on Sat May 25 13:17:49 2019
@author: Toonw
"""
import numpy as np
def vlen(a):
return (a[0]**2 + a[1]**2)**0.5
def add(v1,v2):
return (v1[0]+v2[0], v1[1]+v2[1])
def sub(v1,v2):
return (v1[0]-v2[0], v1[1]-v2[1])
def unit_vector(v):
vu = v / np.linalg.norm(v)
return (vu[0], vu[1])
def angle_between(v1, v2):
angle = np.arccos(np.dot(v1,v2)/(vlen(v1)*vlen(v2)))
return angle
# Similarity measure of article
## https://pdfs.semanticscholar.org/60b5/aca20ba34d424f4236359bd5e6aa30487682.pdf
def sim_measure(A, B): # similarity between two shapes A and B
# print(A)
# print(B)
return 1 - (sum([(vlen(unit_vector(a))+vlen(unit_vector(b)))*angle_between(a,b) for a,b in zip(A,B)]))/(np.pi*(len(A)+len(B)))
| 23.939394
| 130
| 0.613924
| 144
| 790
| 3.326389
| 0.4375
| 0.033403
| 0.041754
| 0.050104
| 0.104384
| 0.104384
| 0.104384
| 0.104384
| 0.104384
| 0.104384
| 0
| 0.115207
| 0.175949
| 790
| 33
| 130
| 23.939394
| 0.620584
| 0.310127
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.4
| false
| 0
| 0.066667
| 0.266667
| 0.866667
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
dbc72ca28fa155b841727c07f4d5032dac9e8938
| 5,161
|
py
|
Python
|
src/robotide/publish/__init__.py
|
crylearner/RIDE3X
|
767f45b0c908f18ecc7473208def8dc7489f43b0
|
[
"ECL-2.0",
"Apache-2.0"
] | 1
|
2017-08-20T14:46:02.000Z
|
2017-08-20T14:46:02.000Z
|
src/robotide/publish/__init__.py
|
crylearner/RIDE3X
|
767f45b0c908f18ecc7473208def8dc7489f43b0
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
src/robotide/publish/__init__.py
|
crylearner/RIDE3X
|
767f45b0c908f18ecc7473208def8dc7489f43b0
|
[
"ECL-2.0",
"Apache-2.0"
] | null | null | null |
# Copyright 2008-2015 Nokia Solutions and Networks
#
# 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.
"""Message publishing and subscribing.
.. contents::
:depth: 2
:local:
Introduction
------------
RIDE uses messages for communication when something of interest happens, for
example a suite is loaded or item is selected in the tree. This module provides
means both for subscribing to listen to those messages and for sending them.
Messages are used for communication between the different components of the
core application, but their main usage is notifying plugins about various events.
Plugins can also send messages themselves, and also create custom messages, if
they have a need.
Subscribing
-----------
The core application uses the global `PUBLISHER` object (an instance of the
`Publisher` class) for subscribing to and unsubscribing from the messages.
Plugins should use the helper methods of the `Plugin` class instead of using
the `PUBLISHER` directly.
Message topics
~~~~~~~~~~~~~~
Regardless the method, subscribing to messages requires a message topic.
Topics can be specified using the actual message classes in
`robotide.publish.messages` module or with their dot separated topic strings.
It is, for example, equivalent to use the `RideTreeSelection` class and a
string ``ride.tree.selection``. Topic strings can normally, but not always, be
mapped directly to the class names.
The topic strings represents a hierarchy where the dots separate the hierarchy
levels. All messages with a topic at or below the given level will match the
subscribed topic. For example, subscribing to the ``ride.notebook`` topic means
that `RideNotebookTabChanged` or any other message with a topic starting with
``ride.notebook`` will match.
Listeners
~~~~~~~~~
Another thing needed when subscribing is a listener, which must be a callable
accepting one argument. When the corresponding message is published, the listener
will be called with an instance of the message class as an argument. That instance
contains the topic and possibly some additional information in its attributes.
The following example demonstrates how a plugin can subscribe to an event.
In this example the ``OnTreeSelection`` method is the listener and the
``message`` it receives is an instance of the `RideTreeSelection` class.
::
from robotide.pluginapi import Plugin, RideTreeSelection
class MyFancyPlugin(Plugin):
def activate(self):
self.subscribe(self.OnTreeSelection, RideTreeSelection)
def OnTreeSelection(self, message):
print message.topic, message.node
Unsubscribing
~~~~~~~~~~~~~
Unsubscribing from a single message requires passing the same topic and listener
to the unsubscribe method that were used for subscribing. Additionally both
the `PUBLISHER` object and the `Plugin` class provide a method for unsubscribing
all listeners registered by someone.
Publishing messages
-------------------
Both the core application and plugins can publish messages using message
classes in the `publish.messages` module directly. Sending a message is as easy
as creating an instance of the class and calling its ``publish`` method. What
parameters are need when the instance is created depends on the message.
Custom messages
~~~~~~~~~~~~~~~
Most of the messages in the `publish.messages` module are to be sent only by
the core application. If plugins need their own messages, for example for
communication between different plugins, they can easily create custom messages
by extending the `RideMessage` base class::
from robotide.pluginapi import Plugin, RideMessage
class FancyImportantMessage(RideMessage):
data = ['importance']
class MyFancyPlugin(Plugin):
def important_action(self):
# some code ...
MyImportantMessage(importance='HIGH').publish()
Plugins interested about this message can subscribe to it using either
the class ``FancyImportantMessage`` or its automatically generated title
``fancy.important``. Notice also that all the messages are exposed also through
the `robotide.pluginapi` module and plugins should import them there.
"""
import os
from robotide.context import WX_VERSION
if WX_VERSION > '3.0':
from wx.lib.pubsub import setuparg1
elif WX_VERSION > '2.9':
from wx.lib.pubsub import setupv1
from .messages import *
from .publisher import PUBLISHER
def get_html_message(name):
return open(os.path.join(
os.path.dirname(__file__), 'html', '{}.html'.format(name))).read()
| 38.514925
| 83
| 0.742298
| 703
| 5,161
| 5.435277
| 0.386913
| 0.010468
| 0.018843
| 0.015703
| 0.044491
| 0.01989
| 0
| 0
| 0
| 0
| 0
| 0.004538
| 0.188723
| 5,161
| 133
| 84
| 38.804511
| 0.908049
| 0.895757
| 0
| 0
| 0
| 0
| 0.044041
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.090909
| false
| 0
| 0.545455
| 0.090909
| 0.727273
| 0
| 0
| 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
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
dbc804db6b0f3dbd711ac33b62c655260b3871e9
| 352
|
py
|
Python
|
ProsperFlask/{{cookiecutter.project_name}}/tests/conftest.py
|
EVEprosper/ProsperCookiecutters
|
569ca0c311a5ead2b49f0cdde4cb2ad14dcd3a2c
|
[
"MIT"
] | null | null | null |
ProsperFlask/{{cookiecutter.project_name}}/tests/conftest.py
|
EVEprosper/ProsperCookiecutters
|
569ca0c311a5ead2b49f0cdde4cb2ad14dcd3a2c
|
[
"MIT"
] | null | null | null |
ProsperFlask/{{cookiecutter.project_name}}/tests/conftest.py
|
EVEprosper/ProsperCookiecutters
|
569ca0c311a5ead2b49f0cdde4cb2ad14dcd3a2c
|
[
"MIT"
] | null | null | null |
# AUTOGENERATED BY: ProsperCookiecutters/ProsperFlask
# TEMPLATE VERSION: {{cookiecutter.template_version}}
# AUTHOR: {{cookiecutter.author_name}}
"""PyTest fixtures and modifiers"""
import pytest
from {{cookiecutter.library_name}}.endpoints import APP
@pytest.fixture
def app():
"""flask test hook for dry-running Flask code"""
return APP
| 23.466667
| 55
| 0.755682
| 40
| 352
| 6.575
| 0.7
| 0.114068
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.127841
| 352
| 14
| 56
| 25.142857
| 0.856678
| 0.397727
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.4
| null | null | 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
9158ba2878b65e7507783af35fb834ff85d1e33a
| 535
|
py
|
Python
|
3-working-with-lists/zip_tuples.py
|
thecodingsim/learn-python
|
bf8e98f40e73ebf7dcf5641312c2c0296d886952
|
[
"MIT"
] | null | null | null |
3-working-with-lists/zip_tuples.py
|
thecodingsim/learn-python
|
bf8e98f40e73ebf7dcf5641312c2c0296d886952
|
[
"MIT"
] | null | null | null |
3-working-with-lists/zip_tuples.py
|
thecodingsim/learn-python
|
bf8e98f40e73ebf7dcf5641312c2c0296d886952
|
[
"MIT"
] | null | null | null |
# Use zip() to create a new variable called names_and_dogs_names that combines owners and dogs_names lists into a zip object.
# Then, create a new variable named list_of_names_and_dogs_names by calling the list() function on names_and_dogs_names.
# Print list_of_names_and_dogs_names.
owners = ["Jenny", "Alexus", "Sam", "Grace"]
dogs_names = ["Elphonse", "Dr. Doggy DDS", "Carter", "Ralph"]
names_and_dogs_names = zip(owners, dogs_names)
list_of_names_and_dogs_names = list(names_and_dogs_names)
print(list_of_names_and_dogs_names)
| 48.636364
| 125
| 0.792523
| 91
| 535
| 4.274725
| 0.406593
| 0.254499
| 0.277635
| 0.349614
| 0.349614
| 0.349614
| 0.231362
| 0.231362
| 0.231362
| 0.231362
| 0
| 0
| 0.115888
| 535
| 11
| 126
| 48.636364
| 0.82241
| 0.519626
| 0
| 0
| 0
| 0
| 0.200787
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.2
| 0
| 0
| 0
| null | 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
91685cf5f5c65ae2f279254e25c1a73ac7408132
| 609
|
py
|
Python
|
app/blueprints/admin_api/__init__.py
|
lvyaoo/api-demo
|
f45c05c154385510572b5200b74dcbbfdb7e234c
|
[
"MIT"
] | null | null | null |
app/blueprints/admin_api/__init__.py
|
lvyaoo/api-demo
|
f45c05c154385510572b5200b74dcbbfdb7e234c
|
[
"MIT"
] | null | null | null |
app/blueprints/admin_api/__init__.py
|
lvyaoo/api-demo
|
f45c05c154385510572b5200b74dcbbfdb7e234c
|
[
"MIT"
] | null | null | null |
from flask import Blueprint
from .hooks import admin_auth
from ...api_utils import *
bp_admin_api = Blueprint('bp_admin_api', __name__)
bp_admin_api.register_error_handler(APIError, handle_api_error)
bp_admin_api.register_error_handler(500, handle_500_error)
bp_admin_api.register_error_handler(400, handle_400_error)
bp_admin_api.register_error_handler(401, handle_401_error)
bp_admin_api.register_error_handler(403, handle_403_error)
bp_admin_api.register_error_handler(404, handle_404_error)
bp_admin_api.before_request(before_api_request)
bp_admin_api.before_request(admin_auth)
from . import v_admin
| 33.833333
| 63
| 0.868637
| 100
| 609
| 4.73
| 0.24
| 0.147992
| 0.211416
| 0.22833
| 0.530655
| 0.433404
| 0.369979
| 0
| 0
| 0
| 0
| 0.052539
| 0.062397
| 609
| 17
| 64
| 35.823529
| 0.775832
| 0
| 0
| 0
| 0
| 0
| 0.019704
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.307692
| 0
| 0.307692
| 0.153846
| 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
| 0
| 0
|
0
| 3
|
917b4bfe42198de5b3e0fb37cbc4743cf9cac201
| 142
|
py
|
Python
|
diagrams/outscale/__init__.py
|
analyticsftw/diagrams
|
217af329a323084bb98031ac1768bc2353e6d9b6
|
[
"MIT"
] | 17,037
|
2020-02-03T01:30:30.000Z
|
2022-03-31T18:09:15.000Z
|
diagrams/outscale/__init__.py
|
analyticsftw/diagrams
|
217af329a323084bb98031ac1768bc2353e6d9b6
|
[
"MIT"
] | 529
|
2020-02-03T10:43:41.000Z
|
2022-03-31T17:33:08.000Z
|
diagrams/outscale/__init__.py
|
analyticsftw/diagrams
|
217af329a323084bb98031ac1768bc2353e6d9b6
|
[
"MIT"
] | 1,068
|
2020-02-05T11:54:29.000Z
|
2022-03-30T23:28:55.000Z
|
from diagrams import Node
class _Outscale(Node):
_provider = "outscale"
_icon_dir = "resources/outscale"
fontcolor = "#ffffff"
| 15.777778
| 36
| 0.690141
| 15
| 142
| 6.266667
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.211268
| 142
| 8
| 37
| 17.75
| 0.839286
| 0
| 0
| 0
| 0
| 0
| 0.232394
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.2
| 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
| 0
| 0
| 1
| 0
|
0
| 3
|
917c654b7225932aa925e3dba908d54b0c600e75
| 565
|
py
|
Python
|
deep_qa/layers/wrappers/output_mask.py
|
richarajpal/deep_qa
|
d918335a1bed71b9cfccf1d5743321cee9c61952
|
[
"Apache-2.0"
] | 459
|
2017-02-08T13:40:17.000Z
|
2021-12-12T12:57:48.000Z
|
deep_qa/layers/wrappers/output_mask.py
|
richarajpal/deep_qa
|
d918335a1bed71b9cfccf1d5743321cee9c61952
|
[
"Apache-2.0"
] | 176
|
2017-01-26T01:19:41.000Z
|
2018-04-22T19:16:01.000Z
|
deep_qa/layers/wrappers/output_mask.py
|
richarajpal/deep_qa
|
d918335a1bed71b9cfccf1d5743321cee9c61952
|
[
"Apache-2.0"
] | 154
|
2017-01-26T01:00:30.000Z
|
2021-02-05T10:44:42.000Z
|
from overrides import overrides
from ..masked_layer import MaskedLayer
class OutputMask(MaskedLayer):
"""
This Layer is purely for debugging. You can wrap this on a layer's output to get the mask
output by that layer as a model output, for easier visualization of what the model is actually
doing.
Don't try to use this in an actual model.
"""
@overrides
def compute_mask(self, inputs, mask=None):
return None
@overrides
def call(self, inputs, mask=None): # pylint: disable=unused-argument
return mask
| 26.904762
| 98
| 0.695575
| 82
| 565
| 4.768293
| 0.634146
| 0.061381
| 0.071611
| 0.092072
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.242478
| 565
| 20
| 99
| 28.25
| 0.913551
| 0.474336
| 0
| 0.222222
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.222222
| 0.222222
| 0.777778
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
9184ffff91bd0e91c571446c2eb2a2d6fb77ed63
| 126
|
py
|
Python
|
Disp_pythonScript.py
|
maniegley/python
|
0e3a98cbff910cc78b2c0386a9cca6c5bb20eefc
|
[
"MIT"
] | 1
|
2019-05-04T03:20:44.000Z
|
2019-05-04T03:20:44.000Z
|
Disp_pythonScript.py
|
maniegley/python
|
0e3a98cbff910cc78b2c0386a9cca6c5bb20eefc
|
[
"MIT"
] | null | null | null |
Disp_pythonScript.py
|
maniegley/python
|
0e3a98cbff910cc78b2c0386a9cca6c5bb20eefc
|
[
"MIT"
] | null | null | null |
import sys
f = open("/home/vader/Desktop/test.py", "r")
#read all file
python_script = f.read()
print(python_script)
| 15.75
| 44
| 0.666667
| 20
| 126
| 4.1
| 0.8
| 0.292683
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174603
| 126
| 7
| 45
| 18
| 0.788462
| 0.103175
| 0
| 0
| 0
| 0
| 0.254545
| 0.245455
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0.25
| 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
| 0
|
0
| 3
|
91860dad187d68b19d0b7553594210d867a8ccc4
| 70
|
py
|
Python
|
logs/constants.py
|
gonzatorte/sw-utils
|
767ec4aa8cbe1e0143f601482024ba1d9b76da64
|
[
"MIT"
] | null | null | null |
logs/constants.py
|
gonzatorte/sw-utils
|
767ec4aa8cbe1e0143f601482024ba1d9b76da64
|
[
"MIT"
] | null | null | null |
logs/constants.py
|
gonzatorte/sw-utils
|
767ec4aa8cbe1e0143f601482024ba1d9b76da64
|
[
"MIT"
] | null | null | null |
import logging
TRACE_LVL = int( (logging.DEBUG + logging.INFO) / 2 )
| 17.5
| 53
| 0.7
| 10
| 70
| 4.8
| 0.8
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.017241
| 0.171429
| 70
| 3
| 54
| 23.333333
| 0.810345
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 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
| 3
|
9195f3cdb36a82835721ebe4e4fc6cc7220eecc8
| 677
|
py
|
Python
|
changes/buildsteps/lxc.py
|
bowlofstew/changes
|
ebd393520e0fdb07c240a8d4e8747281b6186e28
|
[
"Apache-2.0"
] | null | null | null |
changes/buildsteps/lxc.py
|
bowlofstew/changes
|
ebd393520e0fdb07c240a8d4e8747281b6186e28
|
[
"Apache-2.0"
] | null | null | null |
changes/buildsteps/lxc.py
|
bowlofstew/changes
|
ebd393520e0fdb07c240a8d4e8747281b6186e28
|
[
"Apache-2.0"
] | null | null | null |
from __future__ import absolute_import
from changes.buildsteps.default import DefaultBuildStep
class LXCBuildStep(DefaultBuildStep):
"""
Similar to the default build step, except that it runs the client using
the LXC adapter.
"""
def can_snapshot(self):
return True
def get_label(self):
return 'Build via Changes Client (LXC)'
def get_client_adapter(self):
return 'lxc'
def get_allocation_params(self, jobstep):
params = super(LXCBuildStep, self).get_allocation_params(jobstep)
params['memory'] = str(self.resources['mem'])
params['cpus'] = str(self.resources['cpus'])
return params
| 27.08
| 75
| 0.680945
| 81
| 677
| 5.530864
| 0.506173
| 0.066964
| 0.040179
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.225997
| 677
| 24
| 76
| 28.208333
| 0.854962
| 0.129985
| 0
| 0
| 0
| 0
| 0.087873
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.142857
| 0.214286
| 0.785714
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
91e036fe4dd0d56410bf8828136484d3650838c6
| 740
|
py
|
Python
|
setup.py
|
dalejung/pandas-composition
|
e73e5295b2d2f44f09805dcf06db12108c555197
|
[
"MIT"
] | 5
|
2015-04-08T20:58:25.000Z
|
2018-04-22T00:10:44.000Z
|
setup.py
|
dalejung/pandas-composition
|
e73e5295b2d2f44f09805dcf06db12108c555197
|
[
"MIT"
] | null | null | null |
setup.py
|
dalejung/pandas-composition
|
e73e5295b2d2f44f09805dcf06db12108c555197
|
[
"MIT"
] | null | null | null |
from distutils.core import setup
DISTNAME='pandas_composition'
FULLVERSION='0.1'
setup(name=DISTNAME,
version=FULLVERSION,
packages=['pandas_composition',
]
)
| 67.272727
| 94
| 0.172973
| 19
| 740
| 6.631579
| 0.736842
| 0.269841
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.013514
| 0.8
| 740
| 10
| 95
| 74
| 0.837838
| 0
| 0
| 0
| 0
| 0
| 0.052703
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.125
| 0
| 0.125
| 0
| 1
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 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
| 3
|
5321da160f808c8f4dfdd8dfa49b6f548aebb482
| 367
|
py
|
Python
|
shapeshifter/tests/conftest.py
|
martinogden/django-shapeshifter
|
dbcba74c0a6914af181c1e8f0ba23369d4c3c94b
|
[
"Apache-2.0"
] | 164
|
2018-08-27T16:48:15.000Z
|
2022-03-01T06:43:35.000Z
|
shapeshifter/tests/conftest.py
|
FlipperPA/django-shapeshifter
|
0ce9cc2796164a529749a6b2208642d819f706bd
|
[
"Apache-2.0"
] | 2
|
2018-09-04T14:26:34.000Z
|
2021-07-23T21:02:29.000Z
|
shapeshifter/tests/conftest.py
|
FlipperPA/django-shapeshifter
|
0ce9cc2796164a529749a6b2208642d819f706bd
|
[
"Apache-2.0"
] | 12
|
2018-08-27T20:55:12.000Z
|
2022-02-07T23:41:33.000Z
|
from pytest_djangoapp import configure_djangoapp_plugin
pytest_plugins = configure_djangoapp_plugin(
extend_INSTALLED_APPS=[
'django.contrib.sessions',
'django.contrib.messages',
],
extend_MIDDLEWARE=[
'django.contrib.sessions.middleware.SessionMiddleware',
'django.contrib.messages.middleware.MessageMiddleware',
]
)
| 28.230769
| 63
| 0.730245
| 33
| 367
| 7.848485
| 0.515152
| 0.200772
| 0.185328
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177112
| 367
| 12
| 64
| 30.583333
| 0.857616
| 0
| 0
| 0
| 0
| 0
| 0.408719
| 0.408719
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.090909
| 0
| 0.090909
| 0
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
533df513d0a6e1b0c3e33a0160d65ef452f32685
| 433
|
py
|
Python
|
dippy/core/timestamp.py
|
eggveloper/dippy.core
|
8ad613a50bcbf52132de1ece889e22fa4aba3a44
|
[
"MIT"
] | 4
|
2021-04-23T10:26:28.000Z
|
2021-08-29T15:34:46.000Z
|
dippy/core/timestamp.py
|
eggveloper/dippy.core
|
8ad613a50bcbf52132de1ece889e22fa4aba3a44
|
[
"MIT"
] | 23
|
2021-05-27T13:48:32.000Z
|
2021-12-15T15:41:28.000Z
|
dippy/core/timestamp.py
|
eggveloper/dippy.core
|
8ad613a50bcbf52132de1ece889e22fa4aba3a44
|
[
"MIT"
] | 7
|
2021-05-22T17:16:57.000Z
|
2021-12-15T15:19:12.000Z
|
from datetime import datetime
class Timestamp(float):
def __new__(cls, value=None):
return super().__new__(
cls, datetime.utcnow().timestamp() if value is None else value
)
def to_date(self) -> datetime:
return datetime.utcfromtimestamp(self)
def __repr__(self):
return f"<{type(self).__name__} {self}>"
def __str__(self):
return self.to_date().isoformat(" ")
| 24.055556
| 74
| 0.625866
| 51
| 433
| 4.882353
| 0.529412
| 0.048193
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.251732
| 433
| 17
| 75
| 25.470588
| 0.768519
| 0
| 0
| 0
| 0
| 0
| 0.071594
| 0.050808
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.083333
| 0.333333
| 0.833333
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
53485f957146c431dd0276a23463daf3fd0b5d3c
| 527
|
py
|
Python
|
gamma/system_input.py
|
ArtBIT/gamma
|
4ec03251fcd46cd7ae7b5123ad101064b0f9bdd1
|
[
"MIT"
] | 15
|
2021-07-19T05:54:00.000Z
|
2022-03-16T10:24:30.000Z
|
gamma/system_input.py
|
ArtBIT/gamma
|
4ec03251fcd46cd7ae7b5123ad101064b0f9bdd1
|
[
"MIT"
] | 1
|
2022-02-07T21:27:42.000Z
|
2022-02-09T12:32:28.000Z
|
gamma/system_input.py
|
ArtBIT/gamma
|
4ec03251fcd46cd7ae7b5123ad101064b0f9bdd1
|
[
"MIT"
] | 3
|
2022-01-13T10:12:02.000Z
|
2022-02-08T11:55:29.000Z
|
from .system import *
from .colours import *
class InputSystem(System):
def init(self):
self.key = 'input'
def setRequirements(self):
self.requiredComponents = ['input']
def updateEntity(self, entity, scene):
# don't allow input during a cutscene
if scene.cutscene is not None:
return
# run the stored input context
if entity.getComponent('input').inputContext is not None:
entity.getComponent('input').inputContext(entity)
| 23.954545
| 65
| 0.620493
| 58
| 527
| 5.637931
| 0.568966
| 0.04893
| 0.055046
| 0.214067
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.288425
| 527
| 21
| 66
| 25.095238
| 0.872
| 0.121442
| 0
| 0
| 0
| 0
| 0.043478
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0.166667
| 0
| 0.583333
| 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
| 0
| 1
| 0
|
0
| 3
|
534b03a80c1d26fa6e09b0d0a301670d7c14eb1d
| 717
|
py
|
Python
|
marbas/preprocessing.py
|
MJ-Jang/Marbas
|
0a144e4f2ae868604ed4d3b7ae892a53fdebf388
|
[
"Apache-2.0"
] | null | null | null |
marbas/preprocessing.py
|
MJ-Jang/Marbas
|
0a144e4f2ae868604ed4d3b7ae892a53fdebf388
|
[
"Apache-2.0"
] | null | null | null |
marbas/preprocessing.py
|
MJ-Jang/Marbas
|
0a144e4f2ae868604ed4d3b7ae892a53fdebf388
|
[
"Apache-2.0"
] | null | null | null |
import os
from configparser import ConfigParser
cfg = ConfigParser()
#PATH_CUR = os.getcwd() + '/pynori'
PATH_CUR = os.path.dirname(__file__)
cfg.read(PATH_CUR+'/config.ini')
# PREPROCESSING
ENG_LOWER = cfg.getboolean('PREPROCESSING', 'ENG_LOWER')
class Preprocessing(object):
"""Preprocessing modules before tokenizing
It doesn't need to be initialized.
"""
def __init__(self):
pass
def pipeline(self, input_str):
if ENG_LOWER:
input_str = self.lower(input_str)
return input_str
def lower(self, input_str):
return input_str.lower()
def typo(self, input_str):
"""To correct typing errors"""
pass
def spacing(self, input_str):
"""To correct spacing errors"""
pass
| 18.868421
| 56
| 0.707113
| 97
| 717
| 5
| 0.453608
| 0.131959
| 0.098969
| 0.078351
| 0.17732
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174338
| 717
| 38
| 57
| 18.868421
| 0.819257
| 0.244073
| 0
| 0.157895
| 0
| 0
| 0.063953
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.263158
| false
| 0.157895
| 0.105263
| 0.052632
| 0.526316
| 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
| 0
| 1
| 0
|
0
| 3
|
5351727e655c86d144b817ff63881c17c72740b2
| 1,657
|
py
|
Python
|
tests/conftest.py
|
bbhunter/fuzz-lightyear
|
75c1318d2f747a4fac6b55a46649c944528769ba
|
[
"Apache-2.0"
] | 169
|
2019-11-06T20:30:16.000Z
|
2022-01-22T15:55:19.000Z
|
tests/conftest.py
|
bbhunter/fuzz-lightyear
|
75c1318d2f747a4fac6b55a46649c944528769ba
|
[
"Apache-2.0"
] | 29
|
2019-09-24T19:44:03.000Z
|
2021-10-01T09:29:30.000Z
|
tests/conftest.py
|
bbhunter/fuzz-lightyear
|
75c1318d2f747a4fac6b55a46649c944528769ba
|
[
"Apache-2.0"
] | 27
|
2019-12-27T19:57:28.000Z
|
2021-12-08T05:38:10.000Z
|
import pytest
from fuzz_lightyear.datastore import _ALL_POST_FUZZ_HOOKS_BY_OPERATION
from fuzz_lightyear.datastore import _ALL_POST_FUZZ_HOOKS_BY_TAG
from fuzz_lightyear.datastore import _RERUN_POST_FUZZ_HOOKS_BY_OPERATION
from fuzz_lightyear.datastore import _RERUN_POST_FUZZ_HOOKS_BY_TAG
from fuzz_lightyear.datastore import get_excluded_operations
from fuzz_lightyear.datastore import get_included_tags
from fuzz_lightyear.datastore import get_non_vulnerable_operations
from fuzz_lightyear.datastore import get_user_defined_mapping
from fuzz_lightyear.plugins import get_enabled_plugins
from fuzz_lightyear.request import get_victim_session_factory
from fuzz_lightyear.supplements.abstraction import get_abstraction
@pytest.fixture(autouse=True)
def clear_caches():
get_abstraction.cache_clear()
get_user_defined_mapping.cache_clear()
get_enabled_plugins.cache_clear()
get_victim_session_factory.cache_clear()
get_excluded_operations.cache_clear()
get_non_vulnerable_operations.cache_clear()
get_included_tags.cache_clear()
_ALL_POST_FUZZ_HOOKS_BY_OPERATION.clear()
_ALL_POST_FUZZ_HOOKS_BY_TAG.clear()
_RERUN_POST_FUZZ_HOOKS_BY_OPERATION.clear()
_RERUN_POST_FUZZ_HOOKS_BY_TAG.clear()
@pytest.fixture(autouse=True)
def ignore_hypothesis_non_interactive_example_warning():
"""In theory we're not supposed to use hypothesis'
strategy.example(), but fuzz-lightyear isn't using
hypothesis in a normal way.
"""
import warnings
from hypothesis.errors import NonInteractiveExampleWarning
warnings.filterwarnings(
'ignore',
category=NonInteractiveExampleWarning,
)
| 37.659091
| 72
| 0.834037
| 222
| 1,657
| 5.756757
| 0.288288
| 0.122066
| 0.146322
| 0.162754
| 0.443662
| 0.401408
| 0.273865
| 0.203443
| 0.203443
| 0.203443
| 0
| 0
| 0.114665
| 1,657
| 43
| 73
| 38.534884
| 0.871166
| 0.076041
| 0
| 0.060606
| 0
| 0
| 0.003968
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.060606
| true
| 0
| 0.424242
| 0
| 0.484848
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
5357c161a07eb9258b2e704a13f4eda6f6ab93d0
| 63
|
py
|
Python
|
buchschloss/gui2/__init__.py
|
mik2k2/buchschloss
|
8a9d17de5847ccab48a0de48aa4b60af2a7cc045
|
[
"MIT"
] | 1
|
2020-01-13T18:52:51.000Z
|
2020-01-13T18:52:51.000Z
|
buchschloss/gui2/__init__.py
|
mik2k2/buchschloss
|
8a9d17de5847ccab48a0de48aa4b60af2a7cc045
|
[
"MIT"
] | 48
|
2020-01-13T10:32:22.000Z
|
2021-06-16T16:10:19.000Z
|
buchschloss/gui2/__init__.py
|
mik2k2/buchschloss
|
8a9d17de5847ccab48a0de48aa4b60af2a7cc045
|
[
"MIT"
] | 1
|
2020-01-19T11:07:12.000Z
|
2020-01-19T11:07:12.000Z
|
"""entry point"""
from . import main
start = main.app.launch
| 10.5
| 23
| 0.666667
| 9
| 63
| 4.666667
| 0.888889
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.174603
| 63
| 5
| 24
| 12.6
| 0.807692
| 0.174603
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 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
| 3
|
5363e8818d7ff22e74bce67b8f3e1086a76a24c5
| 1,594
|
py
|
Python
|
keras2onnx/proto/__init__.py
|
mgoldchild/keras-onnx
|
8e700572b89a907ca21a3096556f64b62b7aa76c
|
[
"MIT"
] | null | null | null |
keras2onnx/proto/__init__.py
|
mgoldchild/keras-onnx
|
8e700572b89a907ca21a3096556f64b62b7aa76c
|
[
"MIT"
] | null | null | null |
keras2onnx/proto/__init__.py
|
mgoldchild/keras-onnx
|
8e700572b89a907ca21a3096556f64b62b7aa76c
|
[
"MIT"
] | null | null | null |
###############################################################################
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for
# license information.
###############################################################################
import os
import onnx
from distutils.version import StrictVersion
# Rather than using ONNX protobuf definition throughout our codebase, we import ONNX protobuf definition here so that
# we can conduct quick fixes by overwriting ONNX functions without changing any lines elsewhere.
from onnx import onnx_pb as onnx_proto
from onnx import helper
def get_opset_number_from_onnx():
return onnx.defs.onnx_opset_version()
def _check_onnx_version():
import pkg_resources
min_required_version = pkg_resources.parse_version('1.0.1')
current_version = pkg_resources.get_distribution('onnx').parsed_version
assert current_version >= min_required_version , 'Keras2ONNX requires ONNX version 1.0.1 or a newer one'
_check_onnx_version()
is_tf_keras = False
if os.environ.get('TF_KERAS', '0') != '0':
is_tf_keras = True
if is_tf_keras:
from tensorflow.python import keras
else:
try:
import keras
except ImportError:
is_tf_keras = True
from tensorflow.python import keras
def is_keras_older_than(version_str):
return StrictVersion(keras.__version__.split('-')[0]) < StrictVersion(version_str)
def is_keras_later_than(version_str):
return StrictVersion(keras.__version__.split('-')[0]) > StrictVersion(version_str)
| 33.914894
| 117
| 0.69197
| 204
| 1,594
| 5.147059
| 0.465686
| 0.033333
| 0.034286
| 0.019048
| 0.2
| 0.140952
| 0.140952
| 0.140952
| 0.140952
| 0.140952
| 0
| 0.008047
| 0.142409
| 1,594
| 46
| 118
| 34.652174
| 0.760059
| 0.226474
| 0
| 0.142857
| 0
| 0
| 0.069224
| 0
| 0
| 0
| 0
| 0
| 0.035714
| 1
| 0.142857
| false
| 0
| 0.357143
| 0.107143
| 0.607143
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
| 1
| 0
|
0
| 3
|
725ca51ad9d691720ab9b25d90f6e0eda40f5f1a
| 59
|
py
|
Python
|
mlgorithms/knn/__init__.py
|
doycode/mlgorithms
|
b187efad474acdc9b7c6defe4761f101530bd1a3
|
[
"Apache-2.0"
] | 9
|
2019-08-22T08:02:31.000Z
|
2019-12-08T07:14:41.000Z
|
mlgorithms/knn/__init__.py
|
shashashuai/mlgorithms
|
f9f30c109083213dc3c62b30d74121ad1ebd2835
|
[
"Apache-2.0"
] | null | null | null |
mlgorithms/knn/__init__.py
|
shashashuai/mlgorithms
|
f9f30c109083213dc3c62b30d74121ad1ebd2835
|
[
"Apache-2.0"
] | 3
|
2019-12-06T15:08:24.000Z
|
2020-12-21T16:44:13.000Z
|
from .knn import KNNClassifier
__all__ = ['KNNClassifier']
| 19.666667
| 30
| 0.779661
| 6
| 59
| 7
| 0.833333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.118644
| 59
| 3
| 31
| 19.666667
| 0.807692
| 0
| 0
| 0
| 0
| 0
| 0.216667
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
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| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
7261ec9ea850db246c5fb7cbfebb2bc01fe9250d
| 903
|
py
|
Python
|
ui/Rhino/AGS/dev/AGS_toolbar_display_cmd.py
|
ricardoavelino/compas_ags
|
1c9e496bc4b72b11adc80ea97288ddc27e92c08e
|
[
"MIT"
] | 1
|
2021-08-14T11:14:52.000Z
|
2021-08-14T11:14:52.000Z
|
ui/Rhino/AGS/dev/AGS_toolbar_display_cmd.py
|
ricardoavelino/compas_ags
|
1c9e496bc4b72b11adc80ea97288ddc27e92c08e
|
[
"MIT"
] | null | null | null |
ui/Rhino/AGS/dev/AGS_toolbar_display_cmd.py
|
ricardoavelino/compas_ags
|
1c9e496bc4b72b11adc80ea97288ddc27e92c08e
|
[
"MIT"
] | null | null | null |
from __future__ import print_function
from __future__ import absolute_import
from __future__ import division
import scriptcontext as sc
import compas_rhino
from compas_ags.rhino import SettingsForm
from compas_ags.rhino import FormObject
from compas_ags.rhino import ForceObject
__commandname__ = "AGS_toolbar_display"
def RunCommand(is_interactive):
if 'AGS' not in sc.sticky:
compas_rhino.display_message('AGS has not been initialised yet.')
return
scene = sc.sticky['AGS']['scene']
if not scene:
return
# TODO: deal with undo redo
SettingsForm.from_scene(scene, object_types=[FormObject, ForceObject], global_settings=['AGS'])
# ==============================================================================
# Main
# ==============================================================================
if __name__ == '__main__':
RunCommand(True)
| 25.083333
| 99
| 0.615725
| 95
| 903
| 5.452632
| 0.484211
| 0.057915
| 0.092664
| 0.104247
| 0.138996
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.149502
| 903
| 35
| 100
| 25.8
| 0.674479
| 0.208195
| 0
| 0.105263
| 0
| 0
| 0.104225
| 0
| 0
| 0
| 0
| 0.028571
| 0
| 1
| 0.052632
| false
| 0
| 0.421053
| 0
| 0.578947
| 0.052632
| 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
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
7285a6d4732937feeb025500720c611d893078bb
| 753
|
py
|
Python
|
scriptd/app/flask_helper.py
|
jasonszang/scriptd
|
e612f10971ca5d98ffff7e0680485575792529e7
|
[
"MIT"
] | 1
|
2018-09-05T06:54:54.000Z
|
2018-09-05T06:54:54.000Z
|
scriptd/app/flask_helper.py
|
jasonszang/scriptd
|
e612f10971ca5d98ffff7e0680485575792529e7
|
[
"MIT"
] | null | null | null |
scriptd/app/flask_helper.py
|
jasonszang/scriptd
|
e612f10971ca5d98ffff7e0680485575792529e7
|
[
"MIT"
] | null | null | null |
# -*- coding: UTF-8 -*-
"""Helper for working with flask"""
import logging
from flask import Flask
from flask import request
from typing import Text
class FlaskHelper(object):
"""
Helper class for interacting with flask framework.
Improves testability by avoiding accessing flask global/thread-local objects everywhere.
"""
def __init__(self, app): # type: (Flask) -> None
self.app = app
def get_app(self): # type: () -> Flask
return self.app
def get_logger(self): # type: () -> logging.Logger
return self.app.logger
def get_request_data(self): # type: () -> bytes
return request.get_data()
def get_remote_addr(self): # type: () -> Text
return request.remote_addr
| 25.1
| 92
| 0.649402
| 95
| 753
| 5.021053
| 0.442105
| 0.0587
| 0.062893
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001745
| 0.239044
| 753
| 29
| 93
| 25.965517
| 0.830716
| 0.390438
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.266667
| 0.266667
| 0.933333
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
7290a137b403884de1319ee844bb33bdb2db9268
| 198
|
py
|
Python
|
Temperatures.py
|
VivianaEloisa/Viviana_first_repo
|
d132ffdcda8e2c3cd5673cfa86fecc1337697fd0
|
[
"MIT"
] | null | null | null |
Temperatures.py
|
VivianaEloisa/Viviana_first_repo
|
d132ffdcda8e2c3cd5673cfa86fecc1337697fd0
|
[
"MIT"
] | null | null | null |
Temperatures.py
|
VivianaEloisa/Viviana_first_repo
|
d132ffdcda8e2c3cd5673cfa86fecc1337697fd0
|
[
"MIT"
] | null | null | null |
def fahr_to_cels(a):
return (a-32)/1.8
def cels_to_fahr(b):
return(b*1.8)+32
c=50
d=10
print("{0} °F is {1}°C.".format(c,fahr_to_cels(c)))
print("{0}°C is {1}°F.".format(d,cels_to_fahr(d)))
| 22
| 51
| 0.616162
| 52
| 198
| 2.269231
| 0.384615
| 0.101695
| 0.169492
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.091954
| 0.121212
| 198
| 8
| 52
| 24.75
| 0.563218
| 0
| 0
| 0
| 0
| 0
| 0.156566
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.25
| false
| 0
| 0
| 0.25
| 0.375
| 0.25
| 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
| 0
| 0
|
0
| 3
|
72f55f6824f11224ca92665bf8c3e8e323d9e480
| 15,144
|
py
|
Python
|
src/tangled_up_in_unicode/tangled_up_in_unicode_14_0_0.py
|
bhumikapahariapuresoftware/tangled-up-in-unicode
|
ee052e6f0fd4a0083178a163ec72dc37e2ad5d59
|
[
"BSD-4-Clause"
] | 2
|
2019-09-28T23:46:24.000Z
|
2019-10-02T12:08:51.000Z
|
src/tangled_up_in_unicode/tangled_up_in_unicode_14_0_0.py
|
dylan-profiler/tangled_up_in_unicode
|
a4368c2b70f55d90381085bfcdf979f89e42138d
|
[
"BSD-4-Clause"
] | 5
|
2020-02-16T06:02:27.000Z
|
2021-09-27T21:59:29.000Z
|
src/tangled_up_in_unicode/tangled_up_in_unicode_14_0_0.py
|
dylan-profiler/tangled_up_in_unicode
|
a4368c2b70f55d90381085bfcdf979f89e42138d
|
[
"BSD-4-Clause"
] | 4
|
2020-02-17T19:55:32.000Z
|
2022-03-21T04:01:37.000Z
|
from typing import Optional
import bisect
from tangled_up_in_unicode.u14_0_0_data.prop_list_to_property import prop_list_to_property
from tangled_up_in_unicode.u14_0_0_data.blocks_to_block_start import blocks_to_block_start
from tangled_up_in_unicode.u14_0_0_data.blocks_to_block_end import blocks_to_block_end
from tangled_up_in_unicode.u14_0_0_data.property_value_alias_age_short_to_long import property_value_alias_age_short_to_long
from tangled_up_in_unicode.u14_0_0_data.property_value_alias_bc_short_to_long import property_value_alias_bc_short_to_long
from tangled_up_in_unicode.u14_0_0_data.property_value_alias_blk_long_to_short import property_value_alias_blk_long_to_short
from tangled_up_in_unicode.u14_0_0_data.property_value_alias_ccc_short_to_long import property_value_alias_ccc_short_to_long
from tangled_up_in_unicode.u14_0_0_data.property_value_alias_ea_short_to_long import property_value_alias_ea_short_to_long
from tangled_up_in_unicode.u14_0_0_data.property_value_alias_gc_short_to_long import property_value_alias_gc_short_to_long
from tangled_up_in_unicode.u14_0_0_data.property_value_alias_sc_long_to_short import property_value_alias_sc_long_to_short
from tangled_up_in_unicode.u14_0_0_data.scripts_to_script_start import scripts_to_script_start
from tangled_up_in_unicode.u14_0_0_data.scripts_to_script_end import scripts_to_script_end
from tangled_up_in_unicode.u14_0_0_data.east_asian_width_to_east_asian_width_start import east_asian_width_to_east_asian_width_start
from tangled_up_in_unicode.u14_0_0_data.east_asian_width_to_east_asian_width_end import east_asian_width_to_east_asian_width_end
from tangled_up_in_unicode.u14_0_0_data.derived_age_to_age_start import derived_age_to_age_start
from tangled_up_in_unicode.u14_0_0_data.derived_age_to_age_end import derived_age_to_age_end
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_name_start import unicode_data_to_name_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_category_start import unicode_data_to_category_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_category_end import unicode_data_to_category_end
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_bidirectional_start import unicode_data_to_bidirectional_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_bidirectional_end import unicode_data_to_bidirectional_end
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_decimal_start import unicode_data_to_decimal_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_digit_start import unicode_data_to_digit_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_numeric_start import unicode_data_to_numeric_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_combining_start import unicode_data_to_combining_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_mirrored_start import unicode_data_to_mirrored_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_mirrored_end import unicode_data_to_mirrored_end
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_decomposition_start import unicode_data_to_decomposition_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_uppercase_start import unicode_data_to_uppercase_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_lowercase_start import unicode_data_to_lowercase_start
from tangled_up_in_unicode.u14_0_0_data.unicode_data_to_titlecase_start import unicode_data_to_titlecase_start
unidata_version = "14.0.0"
def name(chr: str, default=None) -> str:
"""Returns the name assigned to the character chr as a string.
If no name is defined, default is returned, or, if not given, ValueError is raised."""
idx = ord(chr)
try:
return unicode_data_to_name_start[idx]
except KeyError:
if default is None:
raise ValueError("no such name")
else:
return default
def category(chr: str) -> str:
"""Returns the general category assigned to the character chr as string."""
idx = ord(chr)
start_keys = sorted(unicode_data_to_category_start.keys())
insertion_point = bisect.bisect_left(start_keys, idx)
if insertion_point == len(start_keys) or start_keys[insertion_point] != idx:
insertion_point -= 1
key_start = start_keys[insertion_point]
result_start = unicode_data_to_category_start[key_start]
end_keys = sorted(unicode_data_to_category_end.keys())
insertion_point = bisect.bisect_left(end_keys, idx)
try:
key_end = end_keys[insertion_point]
result_end = unicode_data_to_category_end[key_end]
if result_end != key_start:
result_end = result_start
key_end = key_start
else:
result_end = unicode_data_to_category_start[result_end]
if key_start <= idx <= key_end and result_start == result_end:
return result_start
else:
return "Zzzz"
except IndexError:
return "Zzzz"
def bidirectional(chr: str) -> str:
"""Returns the bidirectional class assigned to the character chr as string.
If no such value is defined, an empty string is returned."""
idx = ord(chr)
start_keys = sorted(unicode_data_to_bidirectional_start.keys())
insertion_point = bisect.bisect_left(start_keys, idx)
if insertion_point == len(start_keys) or start_keys[insertion_point] != idx:
insertion_point -= 1
key_start = start_keys[insertion_point]
result_start = unicode_data_to_bidirectional_start[key_start]
end_keys = sorted(unicode_data_to_bidirectional_end.keys())
insertion_point = bisect.bisect_left(end_keys, idx)
try:
key_end = end_keys[insertion_point]
result_end = unicode_data_to_bidirectional_end[key_end]
if result_end != key_start:
result_end = result_start
key_end = key_start
else:
result_end = unicode_data_to_bidirectional_start[result_end]
if key_start <= idx <= key_end and result_start == result_end:
return result_start
else:
return ""
except IndexError:
return ""
def decimal(chr: str, default=None) -> int:
"""Returns the decimal value assigned to the character chr as integer.
If no such value is defined, default is returned, or, if not given, ValueError is raised."""
idx = ord(chr)
try:
return unicode_data_to_decimal_start[idx]
except KeyError:
if default is None:
raise ValueError("not a decimal")
else:
return default
def digit(chr: str, default=None) -> int:
"""Returns the digit value assigned to the character chr as integer.
If no such value is defined, default is returned, or, if not given, ValueError is raised."""
idx = ord(chr)
try:
return unicode_data_to_digit_start[idx]
except KeyError:
if default is None:
raise ValueError("not a digit")
else:
return default
def numeric(chr: str, default=None) -> float:
"""Returns the numeric value assigned to the character chr as float.
If no such value is defined, default is returned, or, if not given, ValueError is raised."""
idx = ord(chr)
try:
return unicode_data_to_numeric_start[idx]
except KeyError:
if default is None:
raise ValueError("not a numeric character")
else:
return default
def combining(chr: str) -> int:
"""Returns the canonical combining class assigned to the character chr as integer.
Returns 0 if no combining class is defined."""
idx = ord(chr)
try:
return unicode_data_to_combining_start[idx]
except KeyError:
return 0
def mirrored(chr: str) -> int:
"""Returns the mirrored property assigned to the character chr as integer.
Returns 1 if the character has been identified as a "mirrored" character in bidirectional text, 0 otherwise."""
idx = ord(chr)
start_keys = sorted(unicode_data_to_mirrored_start.keys())
insertion_point = bisect.bisect_left(start_keys, idx)
if insertion_point == len(start_keys) or start_keys[insertion_point] != idx:
insertion_point -= 1
key_start = start_keys[insertion_point]
result_start = unicode_data_to_mirrored_start[key_start]
end_keys = sorted(unicode_data_to_mirrored_end.keys())
insertion_point = bisect.bisect_left(end_keys, idx)
try:
key_end = end_keys[insertion_point]
result_end = unicode_data_to_mirrored_end[key_end]
if result_end != key_start:
result_end = result_start
key_end = key_start
else:
result_end = unicode_data_to_mirrored_start[result_end]
if key_start <= idx <= key_end and result_start == result_end:
return result_start
else:
return 0
except IndexError:
return 0
def decomposition(chr: str) -> str:
"""Returns the character decomposition mapping assigned to the character chr as string.
An empty string is returned in case no such mapping is defined."""
idx = ord(chr)
try:
return unicode_data_to_decomposition_start[idx]
except KeyError:
return ""
def uppercase(chr: str) -> str:
""""""
idx = ord(chr)
try:
return unicode_data_to_uppercase_start[idx]
except KeyError:
return ""
def lowercase(chr: str) -> str:
""""""
idx = ord(chr)
try:
return unicode_data_to_lowercase_start[idx]
except KeyError:
return ""
def titlecase(chr: str) -> str:
""""""
idx = ord(chr)
try:
return unicode_data_to_titlecase_start[idx]
except KeyError:
return ""
def east_asian_width(chr: str, default=None) -> str:
"""Returns the east asian width assigned to the character chr as string."""
idx = ord(chr)
start_keys = sorted(east_asian_width_to_east_asian_width_start.keys())
insertion_point = bisect.bisect_left(start_keys, idx)
if insertion_point == len(start_keys) or start_keys[insertion_point] != idx:
insertion_point -= 1
key_start = start_keys[insertion_point]
result_start = east_asian_width_to_east_asian_width_start[key_start]
end_keys = sorted(east_asian_width_to_east_asian_width_end.keys())
insertion_point = bisect.bisect_left(end_keys, idx)
key_end = end_keys[insertion_point]
result_end = east_asian_width_to_east_asian_width_end[key_end]
if result_end != key_start:
result_end = result_start
key_end = key_start
else:
result_end = east_asian_width_to_east_asian_width_start[result_end]
if key_start <= idx <= key_end and result_start == result_end:
return result_start
else:
if default is None:
raise ValueError("no east asian width")
else:
return default
def age(chr: str) -> str:
""""""
idx = ord(chr)
start_keys = sorted(derived_age_to_age_start.keys())
insertion_point = bisect.bisect_left(start_keys, idx)
if insertion_point == len(start_keys) or start_keys[insertion_point] != idx:
insertion_point -= 1
key_start = start_keys[insertion_point]
result_start = derived_age_to_age_start[key_start]
end_keys = sorted(derived_age_to_age_end.keys())
insertion_point = bisect.bisect_left(end_keys, idx)
try:
key_end = end_keys[insertion_point]
result_end = derived_age_to_age_end[key_end]
if result_end != key_start:
result_end = result_start
key_end = key_start
else:
result_end = derived_age_to_age_start[result_end]
if key_start <= idx <= key_end and result_start == result_end:
return result_start
else:
return "1.0"
except IndexError:
return "1.0"
def block(chr: str) -> str:
""""""
idx = ord(chr)
start_keys = sorted(blocks_to_block_start.keys())
insertion_point = bisect.bisect_left(start_keys, idx)
if insertion_point == len(start_keys) or start_keys[insertion_point] != idx:
insertion_point -= 1
key_start = start_keys[insertion_point]
result_start = blocks_to_block_start[key_start]
end_keys = sorted(blocks_to_block_end.keys())
insertion_point = bisect.bisect_left(end_keys, idx)
try:
key_end = end_keys[insertion_point]
result_end = blocks_to_block_end[key_end]
if result_end != key_start:
result_end = result_start
key_end = key_start
else:
result_end = blocks_to_block_start[result_end]
if key_start <= idx <= key_end and result_start == result_end:
return result_start
else:
return "Unknown"
except IndexError:
return "Unknown"
def script(chr: str) -> str:
""""""
idx = ord(chr)
start_keys = sorted(scripts_to_script_start.keys())
insertion_point = bisect.bisect_left(start_keys, idx)
if insertion_point == len(start_keys) or start_keys[insertion_point] != idx:
insertion_point -= 1
key_start = start_keys[insertion_point]
result_start = scripts_to_script_start[key_start]
end_keys = sorted(scripts_to_script_end.keys())
insertion_point = bisect.bisect_left(end_keys, idx)
try:
key_end = end_keys[insertion_point]
result_end = scripts_to_script_end[key_end]
if result_end != key_start:
result_end = result_start
key_end = key_start
else:
result_end = scripts_to_script_start[result_end]
if key_start <= idx <= key_end and result_start == result_end:
return result_start
else:
return "Unknown"
except IndexError:
return "Unknown"
def prop_list(chr: str) -> list:
""""""
idx = ord(chr)
try:
return prop_list_to_property[idx]
except KeyError:
return set()
def age_long(value: str) -> Optional[str]:
""""""
try:
return property_value_alias_age_short_to_long[value]
except KeyError:
return None
def category_long(value: str) -> Optional[str]:
""""""
try:
return property_value_alias_gc_short_to_long[value]
except KeyError:
return None
def east_asian_width_long(value: str) -> Optional[str]:
""""""
try:
return property_value_alias_ea_short_to_long[value]
except KeyError:
return None
def bidirectional_long(value: str) -> Optional[str]:
""""""
try:
return property_value_alias_bc_short_to_long[value]
except KeyError:
return None
def combining_long(value: str) -> Optional[str]:
""""""
try:
return property_value_alias_ccc_short_to_long[value]
except KeyError:
return None
def block_abbr(value: str) -> Optional[str]:
""""""
try:
return property_value_alias_blk_long_to_short[value]
except KeyError:
return None
def script_abbr(value: str) -> Optional[str]:
""""""
try:
return property_value_alias_sc_long_to_short[value]
except KeyError:
return None
| 36.403846
| 132
| 0.726162
| 2,218
| 15,144
| 4.527502
| 0.050947
| 0.059152
| 0.069906
| 0.046306
| 0.896236
| 0.794065
| 0.750149
| 0.694583
| 0.66431
| 0.595798
| 0
| 0.012042
| 0.2049
| 15,144
| 415
| 133
| 36.491566
| 0.821942
| 0.088352
| 0
| 0.624595
| 0
| 0
| 0.00924
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.07767
| false
| 0
| 0.106796
| 0
| 0.359223
| 0
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| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
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| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
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| null | 0
| 0
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| 0
| 0
|
0
| 3
|
72fc07d1bccf9a44ddf48057772608ff2bbcb0f5
| 197,684
|
py
|
Python
|
functions/source/GreengrassLambda/idna/uts46data.py
|
jieatelement/quickstart-aws-industrial-machine-connectivity
|
ca6af4dcbf795ce4a91adcbec4b206147ab26bfa
|
[
"Apache-2.0"
] | 40
|
2020-07-11T10:07:51.000Z
|
2021-12-11T17:09:20.000Z
|
functions/source/GreengrassLambda/idna/uts46data.py
|
jieatelement/quickstart-aws-industrial-machine-connectivity
|
ca6af4dcbf795ce4a91adcbec4b206147ab26bfa
|
[
"Apache-2.0"
] | 18
|
2020-07-20T18:54:31.000Z
|
2021-11-04T13:14:28.000Z
|
functions/source/GreengrassLambda/idna/uts46data.py
|
jieatelement/quickstart-aws-industrial-machine-connectivity
|
ca6af4dcbf795ce4a91adcbec4b206147ab26bfa
|
[
"Apache-2.0"
] | 37
|
2020-07-09T23:12:30.000Z
|
2022-03-16T11:15:58.000Z
|
# This file is automatically generated by tools/idna-data
# vim: set fileencoding=utf-8 :
"""IDNA Mapping Table from UTS46."""
__version__ = "11.0.0"
def _seg_0():
return [
(0x0, '3'),
(0x1, '3'),
(0x2, '3'),
(0x3, '3'),
(0x4, '3'),
(0x5, '3'),
(0x6, '3'),
(0x7, '3'),
(0x8, '3'),
(0x9, '3'),
(0xA, '3'),
(0xB, '3'),
(0xC, '3'),
(0xD, '3'),
(0xE, '3'),
(0xF, '3'),
(0x10, '3'),
(0x11, '3'),
(0x12, '3'),
(0x13, '3'),
(0x14, '3'),
(0x15, '3'),
(0x16, '3'),
(0x17, '3'),
(0x18, '3'),
(0x19, '3'),
(0x1A, '3'),
(0x1B, '3'),
(0x1C, '3'),
(0x1D, '3'),
(0x1E, '3'),
(0x1F, '3'),
(0x20, '3'),
(0x21, '3'),
(0x22, '3'),
(0x23, '3'),
(0x24, '3'),
(0x25, '3'),
(0x26, '3'),
(0x27, '3'),
(0x28, '3'),
(0x29, '3'),
(0x2A, '3'),
(0x2B, '3'),
(0x2C, '3'),
(0x2D, 'V'),
(0x2E, 'V'),
(0x2F, '3'),
(0x30, 'V'),
(0x31, 'V'),
(0x32, 'V'),
(0x33, 'V'),
(0x34, 'V'),
(0x35, 'V'),
(0x36, 'V'),
(0x37, 'V'),
(0x38, 'V'),
(0x39, 'V'),
(0x3A, '3'),
(0x3B, '3'),
(0x3C, '3'),
(0x3D, '3'),
(0x3E, '3'),
(0x3F, '3'),
(0x40, '3'),
(0x41, 'M', u'a'),
(0x42, 'M', u'b'),
(0x43, 'M', u'c'),
(0x44, 'M', u'd'),
(0x45, 'M', u'e'),
(0x46, 'M', u'f'),
(0x47, 'M', u'g'),
(0x48, 'M', u'h'),
(0x49, 'M', u'i'),
(0x4A, 'M', u'j'),
(0x4B, 'M', u'k'),
(0x4C, 'M', u'l'),
(0x4D, 'M', u'm'),
(0x4E, 'M', u'n'),
(0x4F, 'M', u'o'),
(0x50, 'M', u'p'),
(0x51, 'M', u'q'),
(0x52, 'M', u'r'),
(0x53, 'M', u's'),
(0x54, 'M', u't'),
(0x55, 'M', u'u'),
(0x56, 'M', u'v'),
(0x57, 'M', u'w'),
(0x58, 'M', u'x'),
(0x59, 'M', u'y'),
(0x5A, 'M', u'z'),
(0x5B, '3'),
(0x5C, '3'),
(0x5D, '3'),
(0x5E, '3'),
(0x5F, '3'),
(0x60, '3'),
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py
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src/orionsensor/gui/sensors/proximitysensor.py
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Ginkooo/ORION-sensor-visualizer
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550b2e692d711bb8104fe827570ef9b9112536d3
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[
"MIT"
] | null | null | null |
src/orionsensor/gui/sensors/proximitysensor.py
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Ginkooo/ORION-sensor-visualizer
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550b2e692d711bb8104fe827570ef9b9112536d3
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[
"MIT"
] | null | null | null |
src/orionsensor/gui/sensors/proximitysensor.py
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Ginkooo/ORION-sensor-visualizer
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550b2e692d711bb8104fe827570ef9b9112536d3
|
[
"MIT"
] | null | null | null |
from kivy.properties import NumericProperty
from gui.sensors.sensor import Sensor
import config
class ProximitySensor(Sensor):
"""Proximity sensor view"""
# maximum possible reading
max = NumericProperty(config.ProximitySensor.max)
# minimum possible reading
min = NumericProperty(config.ProximitySensor.min)
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py
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base/urls.py
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almustafa-noureddin/Portfolio-website
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67462c98fec65e74183ae057e8b31b5bdff1402c
|
[
"MIT"
] | null | null | null |
base/urls.py
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almustafa-noureddin/Portfolio-website
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67462c98fec65e74183ae057e8b31b5bdff1402c
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[
"MIT"
] | null | null | null |
base/urls.py
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almustafa-noureddin/Portfolio-website
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67462c98fec65e74183ae057e8b31b5bdff1402c
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[
"MIT"
] | null | null | null |
from django.urls import path
from . import views
app_name = "base"
urlpatterns = [
path('', views.IndexView.as_view(), name="home"),
path('contact/', views.ContactView.as_view(), name="contact"),]
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| 3
|
f43046969834dd88f5e6bf5c76a2ad1571e187a4
| 87
|
py
|
Python
|
emodul/apps.py
|
HarisHijazi/mojarnik-server
|
bee7266609cc0bca7cc6a4059086fc0ba7219a33
|
[
"MIT"
] | null | null | null |
emodul/apps.py
|
HarisHijazi/mojarnik-server
|
bee7266609cc0bca7cc6a4059086fc0ba7219a33
|
[
"MIT"
] | null | null | null |
emodul/apps.py
|
HarisHijazi/mojarnik-server
|
bee7266609cc0bca7cc6a4059086fc0ba7219a33
|
[
"MIT"
] | null | null | null |
from django.apps import AppConfig
class EmodulConfig(AppConfig):
name = 'emodul'
| 14.5
| 33
| 0.747126
| 10
| 87
| 6.5
| 0.9
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.172414
| 87
| 5
| 34
| 17.4
| 0.902778
| 0
| 0
| 0
| 0
| 0
| 0.068966
| 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
| 0
| 0
|
0
| 3
|
f438ca5f15375beccb9a1833b80357a7835e309b
| 454
|
py
|
Python
|
opencv_camera/parameters/utils.py
|
MomsFriendlyRobotCompany/opencv_camera
|
046d779a853ef0117c0177c03a6fd81f361a9dd3
|
[
"MIT"
] | 6
|
2020-08-17T04:36:24.000Z
|
2022-02-22T13:54:20.000Z
|
opencv_camera/parameters/utils.py
|
MomsFriendlyRobotCompany/opencv_camera
|
046d779a853ef0117c0177c03a6fd81f361a9dd3
|
[
"MIT"
] | 1
|
2020-12-28T20:45:17.000Z
|
2021-01-01T02:39:02.000Z
|
opencv_camera/parameters/utils.py
|
MomsFriendlyRobotCompany/opencv_camera
|
046d779a853ef0117c0177c03a6fd81f361a9dd3
|
[
"MIT"
] | 1
|
2020-12-15T04:04:54.000Z
|
2020-12-15T04:04:54.000Z
|
##############################################
# The MIT License (MIT)
# Copyright (c) 2014 Kevin Walchko
# see LICENSE for full details
##############################################
# -*- coding: utf-8 -*
from math import atan, pi
def fov(w,f):
"""
Returns the FOV as in degrees, given:
w: image width (or height) in pixels
f: focalLength (fx or fy) in pixels
"""
return 2*atan(w/2/f) * 180/pi
| 26.705882
| 48
| 0.451542
| 55
| 454
| 3.727273
| 0.727273
| 0.078049
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.029586
| 0.255507
| 454
| 16
| 49
| 28.375
| 0.576923
| 0.493392
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0
| 0.333333
| 0
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
f4677aa07e0ad3e8da44d44b35bfb9d27f0006a2
| 136
|
py
|
Python
|
bot/tests/test_triggers/__init__.py
|
elihschiff/Rubber-Duck-Python
|
24dea3b64a8a46368cd8dd995c800375f355b55e
|
[
"MIT"
] | 7
|
2020-07-07T20:58:14.000Z
|
2021-12-23T02:51:20.000Z
|
bot/tests/test_triggers/__init__.py
|
elihschiff/Rubber-Duck-Python
|
24dea3b64a8a46368cd8dd995c800375f355b55e
|
[
"MIT"
] | null | null | null |
bot/tests/test_triggers/__init__.py
|
elihschiff/Rubber-Duck-Python
|
24dea3b64a8a46368cd8dd995c800375f355b55e
|
[
"MIT"
] | 1
|
2020-03-29T13:36:43.000Z
|
2020-03-29T13:36:43.000Z
|
from .test_commands import all_commands
all_triggers = all_commands
from .test_quack import TestQuack
all_triggers.append(TestQuack)
| 17
| 39
| 0.845588
| 19
| 136
| 5.736842
| 0.473684
| 0.146789
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.110294
| 136
| 7
| 40
| 19.428571
| 0.900826
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 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
| 3
|
f4710b19edd2c97dbafb4bd7d15c47788db38366
| 677
|
py
|
Python
|
bldr/dep/env.py
|
bldr-cmd/bldr-cmd
|
300750fbccc2987efd23f69b7b2d76d8563e2995
|
[
"Apache-2.0"
] | null | null | null |
bldr/dep/env.py
|
bldr-cmd/bldr-cmd
|
300750fbccc2987efd23f69b7b2d76d8563e2995
|
[
"Apache-2.0"
] | null | null | null |
bldr/dep/env.py
|
bldr-cmd/bldr-cmd
|
300750fbccc2987efd23f69b7b2d76d8563e2995
|
[
"Apache-2.0"
] | null | null | null |
# This is used by Environment to populate its env
# Due to circular dependencies it cannot reference other parts of bldr
import toml
def default(dotbldr_path: str) -> dict:
dep = {
'config': toml.load(f"{dotbldr_path}/dependency.toml"),
'lock': toml.load(f"{dotbldr_path}/dependency.lock.toml")
}
return dep
def save_lock(dotbldr_path: str, lock_env: dict):
with open(f"{dotbldr_path}/dependency.lock.toml", 'w') as toml_file:
return toml.dump(lock_env, toml_file)
def save_config(dotbldr_path: str, config_env: dict):
with open(f"{dotbldr_path}/dependency.toml", 'w') as toml_file:
return toml.dump(config_env, toml_file)
| 37.611111
| 72
| 0.703102
| 103
| 677
| 4.456311
| 0.398058
| 0.167756
| 0.104575
| 0.191721
| 0.453159
| 0.444444
| 0.287582
| 0.287582
| 0
| 0
| 0
| 0
| 0.175775
| 677
| 18
| 73
| 37.611111
| 0.822581
| 0.171344
| 0
| 0
| 0
| 0
| 0.254025
| 0.232558
| 0
| 0
| 0
| 0
| 0
| 1
| 0.230769
| false
| 0
| 0.076923
| 0
| 0.538462
| 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
| 0
| 1
| 0
|
0
| 3
|
f477a30d49ec339fb9956b3d20c8d92ea00908ad
| 641
|
py
|
Python
|
src/modules/iam/module.py
|
pgorecki/python-ddd
|
0073ccce35c651be263f5d7d3d63f9a49bc0b78a
|
[
"MIT"
] | 10
|
2022-03-16T19:26:51.000Z
|
2022-03-31T23:50:51.000Z
|
src/modules/iam/module.py
|
pgorecki/python-ddd
|
0073ccce35c651be263f5d7d3d63f9a49bc0b78a
|
[
"MIT"
] | null | null | null |
src/modules/iam/module.py
|
pgorecki/python-ddd
|
0073ccce35c651be263f5d7d3d63f9a49bc0b78a
|
[
"MIT"
] | 2
|
2022-03-16T19:26:54.000Z
|
2022-03-27T13:21:02.000Z
|
from seedwork.application.modules import BusinessModule
from modules.iam.application.services import AuthenticationService
class IdentityAndAccessModule(BusinessModule):
def __init__(self, authentication_service: AuthenticationService):
self.authentication_service = authentication_service
# @staticmethod
# def create(container):
# assert False
# """Factory method for creating a module by using dependencies from a DI container"""
# return IdentityAndAccessModule(
# logger=container.logger(),
# authentication_service=container.authentication_service(),
# )
| 35.611111
| 94
| 0.730109
| 56
| 641
| 8.196429
| 0.589286
| 0.228758
| 0.108932
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.199688
| 641
| 17
| 95
| 37.705882
| 0.894737
| 0.446178
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| false
| 0
| 0.4
| 0
| 0.8
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
f480097de648b87f17c2df8fc143686ff51cd136
| 364
|
py
|
Python
|
experiments/scripts/preprocess_dataset.py
|
pbielak/graph-barlow-twins
|
f8e20134afed4f17ffcecf8f48764df362ffdcad
|
[
"MIT"
] | 9
|
2021-06-11T13:23:50.000Z
|
2022-03-23T19:45:54.000Z
|
experiments/scripts/preprocess_dataset.py
|
pbielak/graph-barlow-twins
|
f8e20134afed4f17ffcecf8f48764df362ffdcad
|
[
"MIT"
] | 2
|
2021-09-22T13:58:39.000Z
|
2021-11-23T02:26:50.000Z
|
experiments/scripts/preprocess_dataset.py
|
pbielak/graph-barlow-twins
|
f8e20134afed4f17ffcecf8f48764df362ffdcad
|
[
"MIT"
] | 2
|
2021-06-10T06:05:47.000Z
|
2021-09-27T15:13:23.000Z
|
import sys
from gssl.datasets import load_dataset
from gssl.inductive.datasets import load_ppi
from gssl.utils import seed
def main():
seed()
# Read dataset name
dataset_name = sys.argv[1]
# Load dataset
if dataset_name == "PPI":
load_ppi()
else:
load_dataset(name=dataset_name)
if __name__ == "__main__":
main()
| 15.826087
| 44
| 0.662088
| 49
| 364
| 4.612245
| 0.387755
| 0.243363
| 0.159292
| 0.19469
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.00365
| 0.247253
| 364
| 22
| 45
| 16.545455
| 0.821168
| 0.082418
| 0
| 0
| 0
| 0
| 0.033233
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.076923
| false
| 0
| 0.307692
| 0
| 0.384615
| 0
| 0
| 0
| 0
| null | 1
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
f482b268cafb6a5a7b275bd6f15025933187f73e
| 881
|
py
|
Python
|
app/forms.py
|
FakeYou/flask-microblog
|
021b786417a2ae1aaa957661beb25d381a7efdb2
|
[
"MIT"
] | null | null | null |
app/forms.py
|
FakeYou/flask-microblog
|
021b786417a2ae1aaa957661beb25d381a7efdb2
|
[
"MIT"
] | null | null | null |
app/forms.py
|
FakeYou/flask-microblog
|
021b786417a2ae1aaa957661beb25d381a7efdb2
|
[
"MIT"
] | null | null | null |
from flask.ext.wtf import Form
from wtforms import StringField, BooleanField, PasswordField
from wtforms.validators import InputRequired, Email, EqualTo, Length
class LoginForm(Form):
nickname = StringField('nickname', validators=[InputRequired()])
password = PasswordField('password', validators=[InputRequired()])
remember_me = BooleanField('remember_me', default=False)
class RegisterForm(Form):
nickname = StringField('nickname', validators=[InputRequired()])
email = StringField('email', validators=[InputRequired(), Email()])
password = PasswordField('password', validators=[InputRequired(),
EqualTo('confirm', message='Password must match')])
confirm = PasswordField('confirm password')
class NewPostForm(Form):
body = StringField('body', validators=[InputRequired(), Length(max=140)])
| 48.944444
| 104
| 0.704881
| 80
| 881
| 7.7375
| 0.4
| 0.22294
| 0.074313
| 0.100162
| 0.342488
| 0.174475
| 0
| 0
| 0
| 0
| 0
| 0.004098
| 0.169126
| 881
| 18
| 105
| 48.944444
| 0.84153
| 0
| 0
| 0.133333
| 0
| 0
| 0.106576
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.333333
| 0.2
| 0
| 0.933333
| 0
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 3
|
f48e4de60f001ef56a4fbd661495b8d069dc740f
| 192
|
py
|
Python
|
autofront/__init__.py
|
JimmyLamothe/autofront
|
d179e54411f5d53046a5fa52b4430e09b01ebaca
|
[
"BSD-3-Clause"
] | 1
|
2020-11-16T22:18:03.000Z
|
2020-11-16T22:18:03.000Z
|
autofront/__init__.py
|
JimmyLamothe/autofront
|
d179e54411f5d53046a5fa52b4430e09b01ebaca
|
[
"BSD-3-Clause"
] | null | null | null |
autofront/__init__.py
|
JimmyLamothe/autofront
|
d179e54411f5d53046a5fa52b4430e09b01ebaca
|
[
"BSD-3-Clause"
] | null | null | null |
import autofront.autofront as autofront
import autofront.utilities as utilities
initialize = autofront.initialize
add = autofront.add
run = autofront.run
get_display = utilities.get_display
| 21.333333
| 39
| 0.833333
| 24
| 192
| 6.583333
| 0.375
| 0.189873
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.114583
| 192
| 8
| 40
| 24
| 0.929412
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 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
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
be3353aec22fa60209490a5516f7d6ee7289c13d
| 1,873
|
py
|
Python
|
zict/zip.py
|
phobson/zict
|
666c7cd9fd4667cc8831a35cf958fd51788acd3e
|
[
"BSD-3-Clause"
] | null | null | null |
zict/zip.py
|
phobson/zict
|
666c7cd9fd4667cc8831a35cf958fd51788acd3e
|
[
"BSD-3-Clause"
] | null | null | null |
zict/zip.py
|
phobson/zict
|
666c7cd9fd4667cc8831a35cf958fd51788acd3e
|
[
"BSD-3-Clause"
] | null | null | null |
try:
from collections.abc import MutableMapping
except ImportError:
from collections import MutableMapping
import zipfile
class Zip(MutableMapping):
"""Mutable Mapping interface to a Zip file
Keys must be strings, values must be bytes
Parameters
----------
filename: string
mode: string, ('r', 'w', 'a'), defaults to 'a'
Examples
--------
>>> z = Zip('myfile.zip') # doctest: +SKIP
>>> z['x'] = b'123' # doctest: +SKIP
>>> z['x'] # doctest: +SKIP
b'123'
>>> z.flush() # flush and write metadata to disk # doctest: +SKIP
"""
def __init__(self, filename, mode="a"):
self.filename = filename
self.mode = mode
self._file = None
@property
def file(self):
if self.mode == "closed":
raise OSError("File closed")
if not self._file or not self._file.fp:
self._file = zipfile.ZipFile(self.filename, mode=self.mode)
return self._file
def __getitem__(self, key):
return self.file.read(key)
def __setitem__(self, key, value):
self.file.writestr(key, value)
def keys(self):
return (zi.filename for zi in self.file.filelist)
def values(self):
return map(self.file.read, self.keys())
def items(self):
return ((zi.filename, self.file.read(zi.filename)) for zi in self.file.filelist)
def __iter__(self):
return self.keys()
def __delitem__(self, key):
raise NotImplementedError("Not supported by stdlib zipfile")
def __len__(self):
return len(self.file.filelist)
def flush(self):
self.file.fp.flush()
self.file.close()
def close(self):
self.flush()
self.mode = "closed"
def __enter__(self):
return self
def __exit__(self, type, value, traceback):
self.close()
| 24.324675
| 88
| 0.595302
| 234
| 1,873
| 4.606838
| 0.34188
| 0.103896
| 0.033395
| 0.052876
| 0.06679
| 0.06679
| 0.06679
| 0.06679
| 0.06679
| 0
| 0
| 0.004415
| 0.274426
| 1,873
| 76
| 89
| 24.644737
| 0.788815
| 0.200214
| 0
| 0
| 0
| 0
| 0.038221
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.325581
| false
| 0
| 0.093023
| 0.162791
| 0.627907
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
be44bd30d7e94517cda605e3c7b74f2c0cefb67c
| 4,919
|
py
|
Python
|
gen4service/gen4bean.py
|
yongli82/CodeGenerator
|
4ca9255c3c4c5392e45815fd20f605ccbbfd2325
|
[
"MIT"
] | null | null | null |
gen4service/gen4bean.py
|
yongli82/CodeGenerator
|
4ca9255c3c4c5392e45815fd20f605ccbbfd2325
|
[
"MIT"
] | null | null | null |
gen4service/gen4bean.py
|
yongli82/CodeGenerator
|
4ca9255c3c4c5392e45815fd20f605ccbbfd2325
|
[
"MIT"
] | null | null | null |
#!/usr/bin/python
# -*- coding: utf-8 -*-
import os
import sys
reload(sys)
sys.path.append("..")
sys.setdefaultencoding('utf-8')
from jinja2 import Environment
from jinja2 import Template
import re
from sqlalchemy import schema, types
from sqlalchemy.engine import create_engine
import yyutil
import CodeGen
project_name = "budget"
data_name = "BudgetReport"
table_name = "FC_BudgetBaseInfo"
searchBeanPackage="com.dianping.ba.finance.budget.api.beans"
searchBeanName="BudgetReportSearchBean"
searchBeanField="""
private int budgetTypeId;
private int costDepartmentId;
private String budgetOwnerNo;
private boolean exceedBudget;
private boolean withExpenseType;
private int beginYear;
private int beginMonth;
private int endYear;
private int endMonth;
"""
dataBeanPackage="com.dianping.ba.finance.budget.api.beans"
dataBeanName="BudgetYearReportDisplayBean"
dataBeanField="""
private int budgetYear;
private int budgetTypeId;
private String budgetTypeNo;
private String budgetTypeName;
private int costDepartmentId;
private String costDepartmentName;
private String budgetOwnerNo;
private String budgetOwnerName;
private int budgetStatus;
private String budgetStatusName;
private int budgetPlanId;
private String budgetPlanNo;
private int strategyId;
private int strategyPeriodType;
private String strategyPeriodTypeName;
private BigDecimal yearTotalAmount;
private BigDecimal yearAvailableAmount;
private BigDecimal yearUsedAmount;
private BigDecimal yearFrozenAmount;
private BigDecimal quarterTotalAmount1;
private BigDecimal quarterAvailableAmount1;
private BigDecimal quarterUsedAmount1;
private BigDecimal quarterFrozenAmount1;
private BigDecimal quarterTotalAmount2;
private BigDecimal quarterAvailableAmount2;
private BigDecimal quarterUsedAmount2;
private BigDecimal quarterFrozenAmount2;
private BigDecimal quarterTotalAmount3;
private BigDecimal quarterAvailableAmount3;
private BigDecimal quarterUsedAmount3;
private BigDecimal quarterFrozenAmount3;
private BigDecimal quarterTotalAmount4;
private BigDecimal quarterAvailableAmount4;
private BigDecimal quarterUsedAmount4;
private BigDecimal quarterFrozenAmount4;
private BigDecimal monthTotalAmount1;
private BigDecimal monthAvailableAmount1;
private BigDecimal monthUsedAmount1;
private BigDecimal monthFrozenAmount1;
private BigDecimal monthTotalAmount2;
private BigDecimal monthAvailableAmount2;
private BigDecimal monthUsedAmount2;
private BigDecimal monthFrozenAmount2;
private BigDecimal monthTotalAmount3;
private BigDecimal monthAvailableAmount3;
private BigDecimal monthUsedAmount3;
private BigDecimal monthFrozenAmount3;
private BigDecimal monthTotalAmount4;
private BigDecimal monthAvailableAmount4;
private BigDecimal monthUsedAmount4;
private BigDecimal monthFrozenAmount4;
private BigDecimal monthTotalAmount5;
private BigDecimal monthAvailableAmount5;
private BigDecimal monthUsedAmount5;
private BigDecimal monthFrozenAmount5;
private BigDecimal monthTotalAmount6;
private BigDecimal monthAvailableAmount6;
private BigDecimal monthUsedAmount6;
private BigDecimal monthFrozenAmount6;
private BigDecimal monthTotalAmount7;
private BigDecimal monthAvailableAmount7;
private BigDecimal monthUsedAmount7;
private BigDecimal monthFrozenAmount7;
private BigDecimal monthTotalAmount8;
private BigDecimal monthAvailableAmount8;
private BigDecimal monthUsedAmount8;
private BigDecimal monthFrozenAmount8;
private BigDecimal monthTotalAmount9;
private BigDecimal monthAvailableAmount9;
private BigDecimal monthUsedAmount9;
private BigDecimal monthFrozenAmount9;
private BigDecimal monthTotalAmount10;
private BigDecimal monthAvailableAmount10;
private BigDecimal monthUsedAmount10;
private BigDecimal monthFrozenAmount10;
private BigDecimal monthTotalAmount11;
private BigDecimal monthAvailableAmount11;
private BigDecimal monthUsedAmount11;
private BigDecimal monthFrozenAmount11;
private BigDecimal monthTotalAmount12;
private BigDecimal monthAvailableAmount12;
private BigDecimal monthUsedAmount12;
private BigDecimal monthFrozenAmount12;
"""
columns = yyutil.convert_bean_to_columns(dataBeanField)
search_columns = yyutil.convert_bean_to_columns(searchBeanField)
jinja2_env = CodeGen.getEnvironment("gen4service")
template = jinja2_env.get_template("bean_code_template.md")
#snippet = template.render(table_name=table_name, data_name=data_name, columns=columns)
snippet = template.render(locals())
print snippet
with open(data_name + "_generate.md", 'wb') as f:
f.write(snippet)
f.flush()
f.close()
os.system("open " + data_name + "_generate.md")
| 32.793333
| 87
| 0.795893
| 423
| 4,919
| 9.196217
| 0.392435
| 0.297172
| 0.008226
| 0.010283
| 0.06581
| 0.034447
| 0.017481
| 0
| 0
| 0
| 0
| 0.01999
| 0.155926
| 4,919
| 149
| 88
| 33.013423
| 0.916908
| 0.025208
| 0
| 0.063492
| 0
| 0
| 0.831245
| 0.12949
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.071429
| null | null | 0.007937
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
be451445b545eb79b0e3f43bb3bb14e581f5720c
| 2,333
|
py
|
Python
|
Log_tao.py
|
zigzax/Basic_Python
|
d9d3256f2ac627e6e98991f73ab67ef8fcc4172d
|
[
"MIT"
] | null | null | null |
Log_tao.py
|
zigzax/Basic_Python
|
d9d3256f2ac627e6e98991f73ab67ef8fcc4172d
|
[
"MIT"
] | null | null | null |
Log_tao.py
|
zigzax/Basic_Python
|
d9d3256f2ac627e6e98991f73ab67ef8fcc4172d
|
[
"MIT"
] | null | null | null |
Python 3.9.0 (tags/v3.9.0:9cf6752, Oct 5 2020, 15:34:40) [MSC v.1927 64 bit (AMD64)] on win32
Type "help", "copyright", "credits" or "license()" for more information.
>>> import turtle
>>> tao = turtle.Turtle()
>>> tao.shape('turtle')
>>> tao.forward(100)
>>> tao.left(90)
>>> tao.forward(100)
>>> tao.left(90)
>>> tao.forward(100)
>>> tao.left(90)
>>> tao.forward(100)
>>> tao.left(90)
>>> tao.reset
<bound method RawTurtle.reset of <turtle.Turtle object at 0x000001F98553ECA0>>
>>> tao.reset()
>>> for i in range(4)
SyntaxError: invalid syntax
>>> for i in range(4):
tao.forward(100)tao.left(90)
SyntaxError: invalid syntax
>>> for i in range(4):
tao.forward(100)
tao.left(90)
>>> range (4)
range(0, 4)
>>> list (range(4))
[0, 1, 2, 3]
>>> for i in range(5)
SyntaxError: invalid syntax
>>> for i in range(5):
print(i)
0
1
2
3
4
\
>>> for i in range(5):
print(i)
0
1
2
3
4
>>> for i in range[10,50,90]:
print(i)
Traceback (most recent call last):
File "<pyshell#28>", line 1, in <module>
for i in range[10,50,90]:
TypeError: 'type' object is not subscriptable
>>> for i in[10,50,90]:
print(i)
10
50
90
>>> range (1,10)
range(1, 10)
>>> list (range(1,10))
[1, 2, 3, 4, 5, 6, 7, 8, 9]
>>> tao.reset()
>>> for i in range (4):
tao.forward(100)
tao.left(90)
print('No.',i)
No. 0
No. 1
No. 2
No. 3
>>> tao.reset
<bound method RawTurtle.reset of <turtle.Turtle object at 0x000001F98553ECA0>>
>>> tao.reset()
>>> tao.forward(100)
>>> tao.left(45)
>>> tao.forward(100)
>>> tao.left(45)
>>> tao.forward(100)
>>> tao.left(45)
>>> tao.forward(100)
>>> tao.left(45)
>>> tao.forward(100)
>>> tao.left(45)
>>> tao.forward(100)
>>> tao.left(45)
>>> tao.forward(100)
>>> tao.left(45)
>>> tao.forward(100)
>>> for i in range (8):
tao.forward(100)
tao.left(45)
print('No.',i)
No. 0
No. 1
No. 2
No. 3
No. 4
No. 5
No. 6
No. 7
>>> tao.reset()
>>> for i in range (8):
tao.forward(100)
tao.left(45)
print('No.',i)
No. 0
No. 1
No. 2
No. 3
No. 4
No. 5
No. 6
No. 7
>>> tao.reset()
>>> def regtangle():
for i in range(4):
tao.forward(100)
tao.left(90)
>>> regtangle()
>>> tao.reset()
>>> for i in range(10):
regtangle()
tao.left(36)
>>> tao.reset()
>>>
| 16.089655
| 95
| 0.562366
| 393
| 2,333
| 3.338422
| 0.206107
| 0.137195
| 0.178354
| 0.207317
| 0.719512
| 0.695122
| 0.68064
| 0.629573
| 0.629573
| 0.629573
| 0
| 0.134328
| 0.224604
| 2,333
| 145
| 96
| 16.089655
| 0.590934
| 0
| 0
| 0.653226
| 0
| 0
| 0.027397
| 0
| 0
| 0
| 0.016438
| 0
| 0
| 0
| null | null | 0
| 0.008065
| null | null | 0.056452
| 0
| 0
| 0
| null | 0
| 0
| 1
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
be6b1f866bc5d3fdc38f4e9b6fd3e9f0bcf0235f
| 384
|
py
|
Python
|
qiskit/quantum_info/operators/__init__.py
|
jagunnels/qiskit-sdk-py
|
153cdde972e65c0f23675bbe17c93e18be27bd51
|
[
"Apache-2.0"
] | null | null | null |
qiskit/quantum_info/operators/__init__.py
|
jagunnels/qiskit-sdk-py
|
153cdde972e65c0f23675bbe17c93e18be27bd51
|
[
"Apache-2.0"
] | null | null | null |
qiskit/quantum_info/operators/__init__.py
|
jagunnels/qiskit-sdk-py
|
153cdde972e65c0f23675bbe17c93e18be27bd51
|
[
"Apache-2.0"
] | null | null | null |
# -*- coding: utf-8 -*-
# Copyright 2019, IBM.
#
# This source code is licensed under the Apache License, Version 2.0 found in
# the LICENSE.txt file in the root directory of this source tree.
"""Quantum Operators."""
from .operator import Operator
from .unitary import Unitary
from .pauli import Pauli, pauli_group
from .channel import Choi, SuperOp, Kraus, Stinespring, Chi, PTM
| 27.428571
| 77
| 0.742188
| 57
| 384
| 4.982456
| 0.719298
| 0.070423
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021807
| 0.164063
| 384
| 13
| 78
| 29.538462
| 0.862928
| 0.526042
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
be72c9a20697c3fb3a739104db43d4e053b51e7c
| 249
|
py
|
Python
|
tests/integration/hub_usage/dummyhub_slow/__init__.py
|
abreu4/jina
|
d1d045e9e0933dffb3bd668cb9cfebab6cd52202
|
[
"Apache-2.0"
] | 2
|
2021-01-22T07:34:35.000Z
|
2021-01-23T04:36:41.000Z
|
tests/integration/hub_usage/dummyhub_slow/__init__.py
|
abreu4/jina
|
d1d045e9e0933dffb3bd668cb9cfebab6cd52202
|
[
"Apache-2.0"
] | 4
|
2020-09-01T17:47:27.000Z
|
2021-04-16T23:11:57.000Z
|
tests/integration/hub_usage/dummyhub_slow/__init__.py
|
abreu4/jina
|
d1d045e9e0933dffb3bd668cb9cfebab6cd52202
|
[
"Apache-2.0"
] | null | null | null |
import time
from jina.executors.crafters import BaseCrafter
from .helper import foo
class DummyHubExecutorSlow(BaseCrafter):
def __init__(self, *args, **kwargs):
super().__init__(*args, **kwargs)
time.sleep(15)
foo()
| 19.153846
| 47
| 0.678715
| 28
| 249
| 5.75
| 0.678571
| 0.124224
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.010152
| 0.208835
| 249
| 12
| 48
| 20.75
| 0.807107
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.125
| false
| 0
| 0.375
| 0
| 0.625
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
bea166ed0dc38a3bddb60dc5fe5709a4f52a15f3
| 168
|
py
|
Python
|
mdepub/actions/__init__.py
|
bkidwell/mdepub
|
af9e7d2065fb8251b6767e827ac2cff059ce7668
|
[
"0BSD"
] | 35
|
2015-01-14T22:15:35.000Z
|
2021-05-23T06:04:34.000Z
|
mdepub/actions/__init__.py
|
bkidwell/mdepub
|
af9e7d2065fb8251b6767e827ac2cff059ce7668
|
[
"0BSD"
] | null | null | null |
mdepub/actions/__init__.py
|
bkidwell/mdepub
|
af9e7d2065fb8251b6767e827ac2cff059ce7668
|
[
"0BSD"
] | 7
|
2015-07-23T11:28:18.000Z
|
2021-02-09T17:07:06.000Z
|
"""mdepub actions -- these modules do the actual work."""
import archive
import clean
import create
import epub
import extract
import html
import newid
import version
| 15.272727
| 57
| 0.791667
| 24
| 168
| 5.541667
| 0.708333
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.154762
| 168
| 10
| 58
| 16.8
| 0.93662
| 0.303571
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
beb9ee31926225eb2b3cd87871300007116d1d11
| 2,177
|
py
|
Python
|
app/views/main.py
|
ArmandDS/ai_bert_resumes
|
743f37049bbca67bcbbaf21a2ffecf0d093351df
|
[
"MIT"
] | 1
|
2020-02-28T12:17:38.000Z
|
2020-02-28T12:17:38.000Z
|
app/views/main.py
|
ArmandDS/ai_bert_resumes
|
743f37049bbca67bcbbaf21a2ffecf0d093351df
|
[
"MIT"
] | 1
|
2021-06-02T00:54:48.000Z
|
2021-06-02T00:54:48.000Z
|
app/views/main.py
|
ArmandDS/ai_bert_resumes
|
743f37049bbca67bcbbaf21a2ffecf0d093351df
|
[
"MIT"
] | null | null | null |
from flask import render_template, jsonify, Flask, redirect, url_for, request
from app import app
import random
import os
# import tensorflow as tf
# import numpy as np
# import sys
# import spacy
# nlp = spacy.load('en')
# sys.path.insert(0, "/content/bert_experimental")
# from bert_experimental.finetuning.text_preprocessing import build_preprocessor
# from bert_experimental.finetuning.graph_ops import load_graph
# restored_graph = load_graph("models/frozen_graph.pb")
# graph_ops = restored_graph.get_operations()
# input_op, output_op = graph_ops[0].name, graph_ops[-1].name
# x = restored_graph.get_tensor_by_name(input_op + ':0')
# y = restored_graph.get_tensor_by_name(output_op + ':0')
# preprocessor = build_preprocessor("./uncased_L-12_H-768_A-12/vocab.txt", 256)
# py_func = tf.numpy_function(preprocessor, [x], [tf.int32, tf.int32, tf.int32], name='preprocessor')
# py_func = tf.numpy_function(preprocessor, [x], [tf.int32, tf.int32, tf.int32])
# sess = tf.Session(graph=restored_graph)
# delimiter = " ||| "
@app.route('/')
def index1():
return render_template('index.html', title='Home')
@app.route('/predict', methods = ['GET', 'POST'])
def upload_file():
if request.method == 'POST':
exp_st = request.form.get('exp')
job_st = request.form.get('job')
# y_out = sess.run(y, feed_dict={
# x: pd.DataFrame([delimiter.join((exp_st, job_st ))], columns=['name'])
# })
# doc1 = nlp(exp_st)
# doc2 = nlp(job_st )
# y_out2 = doc1.similarity(doc2)
return render_template('index.html', title='Success', predictions=80, predictions_sp =75, exp=exp_st, job= job_st)
@app.route('/index')
def index():
return render_template('index.html', title='Home')
@app.route('/map')
def map():
return render_template('map.html', title='Map')
@app.route('/map/refresh', methods=['POST'])
def map_refresh():
points = [(random.uniform(48.8434100, 48.8634100),
random.uniform(2.3388000, 2.3588000))
for _ in range(random.randint(2, 9))]
return jsonify({'points': points})
@app.route('/contact')
def contact():
return render_template('contact.html', title='Contact')
| 33.492308
| 117
| 0.686266
| 308
| 2,177
| 4.662338
| 0.383117
| 0.058496
| 0.069638
| 0.038997
| 0.203343
| 0.203343
| 0.140669
| 0.140669
| 0.140669
| 0.076602
| 0
| 0.039396
| 0.148829
| 2,177
| 65
| 118
| 33.492308
| 0.735564
| 0.4791
| 0
| 0.071429
| 0
| 0
| 0.127027
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.214286
| false
| 0
| 0.142857
| 0.142857
| 0.571429
| 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
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
bebb3991fe53855d056c3141b393c1defb50e7e5
| 4,197
|
py
|
Python
|
aliyun-python-sdk-ehpc/aliyunsdkehpc/request/v20180412/EditJobTemplateRequest.py
|
yndu13/aliyun-openapi-python-sdk
|
12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5
|
[
"Apache-2.0"
] | 1,001
|
2015-07-24T01:32:41.000Z
|
2022-03-25T01:28:18.000Z
|
aliyun-python-sdk-ehpc/aliyunsdkehpc/request/v20180412/EditJobTemplateRequest.py
|
yndu13/aliyun-openapi-python-sdk
|
12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5
|
[
"Apache-2.0"
] | 363
|
2015-10-20T03:15:00.000Z
|
2022-03-08T12:26:19.000Z
|
aliyun-python-sdk-ehpc/aliyunsdkehpc/request/v20180412/EditJobTemplateRequest.py
|
yndu13/aliyun-openapi-python-sdk
|
12ace4fb39fe2fb0e3927a4b1b43ee4872da43f5
|
[
"Apache-2.0"
] | 682
|
2015-09-22T07:19:02.000Z
|
2022-03-22T09:51:46.000Z
|
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you 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.
from aliyunsdkcore.request import RpcRequest
from aliyunsdkehpc.endpoint import endpoint_data
class EditJobTemplateRequest(RpcRequest):
def __init__(self):
RpcRequest.__init__(self, 'EHPC', '2018-04-12', 'EditJobTemplate')
self.set_method('GET')
if hasattr(self, "endpoint_map"):
setattr(self, "endpoint_map", endpoint_data.getEndpointMap())
if hasattr(self, "endpoint_regional"):
setattr(self, "endpoint_regional", endpoint_data.getEndpointRegional())
def get_StderrRedirectPath(self):
return self.get_query_params().get('StderrRedirectPath')
def set_StderrRedirectPath(self,StderrRedirectPath):
self.add_query_param('StderrRedirectPath',StderrRedirectPath)
def get_ClockTime(self):
return self.get_query_params().get('ClockTime')
def set_ClockTime(self,ClockTime):
self.add_query_param('ClockTime',ClockTime)
def get_CommandLine(self):
return self.get_query_params().get('CommandLine')
def set_CommandLine(self,CommandLine):
self.add_query_param('CommandLine',CommandLine)
def get_ArrayRequest(self):
return self.get_query_params().get('ArrayRequest')
def set_ArrayRequest(self,ArrayRequest):
self.add_query_param('ArrayRequest',ArrayRequest)
def get_PackagePath(self):
return self.get_query_params().get('PackagePath')
def set_PackagePath(self,PackagePath):
self.add_query_param('PackagePath',PackagePath)
def get_Mem(self):
return self.get_query_params().get('Mem')
def set_Mem(self,Mem):
self.add_query_param('Mem',Mem)
def get_StdoutRedirectPath(self):
return self.get_query_params().get('StdoutRedirectPath')
def set_StdoutRedirectPath(self,StdoutRedirectPath):
self.add_query_param('StdoutRedirectPath',StdoutRedirectPath)
def get_Variables(self):
return self.get_query_params().get('Variables')
def set_Variables(self,Variables):
self.add_query_param('Variables',Variables)
def get_RunasUser(self):
return self.get_query_params().get('RunasUser')
def set_RunasUser(self,RunasUser):
self.add_query_param('RunasUser',RunasUser)
def get_ReRunable(self):
return self.get_query_params().get('ReRunable')
def set_ReRunable(self,ReRunable):
self.add_query_param('ReRunable',ReRunable)
def get_Thread(self):
return self.get_query_params().get('Thread')
def set_Thread(self,Thread):
self.add_query_param('Thread',Thread)
def get_TemplateId(self):
return self.get_query_params().get('TemplateId')
def set_TemplateId(self,TemplateId):
self.add_query_param('TemplateId',TemplateId)
def get_Priority(self):
return self.get_query_params().get('Priority')
def set_Priority(self,Priority):
self.add_query_param('Priority',Priority)
def get_Gpu(self):
return self.get_query_params().get('Gpu')
def set_Gpu(self,Gpu):
self.add_query_param('Gpu',Gpu)
def get_Node(self):
return self.get_query_params().get('Node')
def set_Node(self,Node):
self.add_query_param('Node',Node)
def get_Task(self):
return self.get_query_params().get('Task')
def set_Task(self,Task):
self.add_query_param('Task',Task)
def get_Name(self):
return self.get_query_params().get('Name')
def set_Name(self,Name):
self.add_query_param('Name',Name)
def get_Queue(self):
return self.get_query_params().get('Queue')
def set_Queue(self,Queue):
self.add_query_param('Queue',Queue)
| 29.978571
| 74
| 0.751013
| 569
| 4,197
| 5.321617
| 0.216169
| 0.035667
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| 0.18428
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| 0.18428
| 0
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| 0
| 0
| 0.003303
| 0.134382
| 4,197
| 140
| 75
| 29.978571
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| 0.119421
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| 1
| 0.45122
| false
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| 0.02439
| 0.219512
| 0.707317
| 0
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| 1
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|
0
| 3
|
bec8bbb28dfc0d99421b26ef588fd15b586c1fe9
| 509
|
py
|
Python
|
bucket_4C/python-Pillow/patches/patch-setup.py
|
jrmarino/ravensource
|
91d599fd1f2af55270258d15e72c62774f36033e
|
[
"FTL"
] | 17
|
2017-04-22T21:53:52.000Z
|
2021-01-21T16:57:55.000Z
|
bucket_4C/python-Pillow/patches/patch-setup.py
|
jrmarino/ravensource
|
91d599fd1f2af55270258d15e72c62774f36033e
|
[
"FTL"
] | 186
|
2017-09-12T20:46:52.000Z
|
2021-11-27T18:15:14.000Z
|
bucket_4C/python-Pillow/patches/patch-setup.py
|
jrmarino/ravensource
|
91d599fd1f2af55270258d15e72c62774f36033e
|
[
"FTL"
] | 74
|
2017-09-06T14:48:01.000Z
|
2021-08-28T02:48:27.000Z
|
--- setup.py.orig 2019-07-02 19:13:39 UTC
+++ setup.py
@@ -465,9 +465,7 @@ class pil_build_ext(build_ext):
_add_directory(include_dirs, "/usr/X11/include")
elif (
- sys.platform.startswith("linux")
- or sys.platform.startswith("gnu")
- or sys.platform.startswith("freebsd")
+ sys.platform.startswith("nothing")
):
for dirname in _find_library_dirs_ldconfig():
_add_directory(library_dirs, dirname)
| 36.357143
| 65
| 0.579568
| 60
| 509
| 4.7
| 0.633333
| 0.156028
| 0.297872
| 0.163121
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.065934
| 0.284872
| 509
| 13
| 66
| 39.153846
| 0.708791
| 0
| 0
| 0
| 0
| 0
| 0.074656
| 0
| 0
| 0
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| 0
| 0
| 0
| null | null | 0
| 0
| null | null | 0
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| 0
| null | 0
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| 1
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| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
fe2ffb0cf28c08ae4282aa561c6f775796ff339b
| 14,564
|
py
|
Python
|
test/unit/Algorithms/GenericLinearTransportTest.py
|
thirtywang/OpenPNM
|
e55ee7ae69a8be3e2b0e6bf24c9ff92b6d24e16a
|
[
"MIT"
] | null | null | null |
test/unit/Algorithms/GenericLinearTransportTest.py
|
thirtywang/OpenPNM
|
e55ee7ae69a8be3e2b0e6bf24c9ff92b6d24e16a
|
[
"MIT"
] | null | null | null |
test/unit/Algorithms/GenericLinearTransportTest.py
|
thirtywang/OpenPNM
|
e55ee7ae69a8be3e2b0e6bf24c9ff92b6d24e16a
|
[
"MIT"
] | 1
|
2020-07-02T02:21:10.000Z
|
2020-07-02T02:21:10.000Z
|
import OpenPNM
import numpy as np
import OpenPNM.Physics.models as pm
class GenericLinearTransportTest:
def setup_class(self):
self.net = OpenPNM.Network.Cubic(shape=[5, 5, 5])
self.phase = OpenPNM.Phases.GenericPhase(network=self.net)
Ps = self.net.Ps
Ts = self.net.Ts
self.phys = OpenPNM.Physics.GenericPhysics(network=self.net,
phase=self.phase,
pores=Ps, throats=Ts)
self.phys['throat.cond'] = 5e-8
self.alg = OpenPNM.Algorithms.GenericLinearTransport(network=self.net,
phase=self.phase)
def test_set_BC_modes_pores(self):
BC1_pores = np.arange(25, 35)
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
pores=BC1_pores)
ptest = self.alg.pores('pore.Dirichlet')
assert np.all(ptest == BC1_pores)
BC2_pores = np.arange(43, 50)
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
pores=BC2_pores,
mode='merge')
ptest = self.alg.pores('pore.Dirichlet')
assert np.all(ptest == np.concatenate((BC1_pores, BC2_pores)))
BC3_pores = np.arange(4, 9)
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
pores=BC3_pores,
mode='overwrite')
ptest = self.alg.pores('pore.Dirichlet')
assert np.all(ptest == BC3_pores)
BC4_pores = [11, 90]
self.alg.set_boundary_conditions(bctype='Neumann',
bcvalue=0.5,
pores=BC4_pores,
mode='overwrite')
ptest = self.alg.pores('pore.Neumann')
assert np.all(ptest == BC4_pores)
self.alg.set_boundary_conditions(bctype='Dirichlet',
pores=BC1_pores,
bcvalue=0.3)
ptest = self.alg.pores('pore.Dirichlet')
self.alg.set_boundary_conditions(bctype='Dirichlet',
pores=self.alg.Ps,
mode='remove')
Dp = np.sum(self.alg['pore.Dirichlet'])
assert Dp == 0
self.alg.set_boundary_conditions(bctype='Neumann',
mode='remove')
label = 'pore.Neumann'
assert (label not in self.alg.labels())
def test_set_BC_modes_throats(self):
BC1_throats = np.arange(25, 35)
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
throats=BC1_throats)
t_test = self.alg.throats('throat.Dirichlet')
assert np.all(t_test == BC1_throats)
BC2_throats = np.arange(43, 50)
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
throats=BC2_throats,
mode='merge')
t_test = self.alg.throats('throat.Dirichlet')
assert np.all(t_test == np.concatenate((BC1_throats, BC2_throats)))
BC3_throats = np.arange(4, 9)
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
throats=BC3_throats,
mode='overwrite')
t_test = self.alg.throats('throat.Dirichlet')
assert np.all(t_test == BC3_throats)
BC4_throats = [11, 90]
self.alg.set_boundary_conditions(bctype='Neumann',
bcvalue=0.5,
throats=BC4_throats,
mode='overwrite')
t_test = self.alg.throats('throat.Neumann')
assert np.all(t_test == BC4_throats)
self.alg.set_boundary_conditions(bctype='Dirichlet',
throats=BC1_throats,
bcvalue=0.3)
t_test = self.alg.throats('throat.Dirichlet')
self.alg.set_boundary_conditions(bctype='Dirichlet',
throats=self.alg.Ts,
mode='remove')
Dp = np.sum(self.alg['throat.Dirichlet'])
assert Dp == 0
self.alg.set_boundary_conditions(bctype='Neumann',
mode='remove')
label = 'throat.Neumann'
assert (label not in self.alg.labels())
def test_set_BC_modes_with_boolean_masks_pores(self):
BC1_pores = np.zeros(self.alg.Np, dtype='bool')
BC1_pores[np.arange(25, 35)] = True
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
pores=BC1_pores)
ptest = self.alg.pores('pore.Dirichlet')
assert np.all(ptest == self.alg._parse_locations(BC1_pores))
BC2_pores = np.zeros(self.alg.Np, dtype='bool')
BC2_pores[np.arange(43, 50)] = True
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
pores=BC2_pores,
mode='merge')
ptest = self.alg.pores('pore.Dirichlet')
B1 = self.alg._parse_locations(BC1_pores)
B2 = self.alg._parse_locations(BC2_pores)
assert np.all(ptest == np.concatenate((B1, B2)))
BC3_pores = np.zeros(self.alg.Np, dtype='bool')
BC3_pores[np.arange(4, 9)] = True
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
pores=BC3_pores,
mode='overwrite')
ptest = self.alg.pores('pore.Dirichlet')
assert np.all(ptest == self.alg._parse_locations(BC3_pores))
BC4_pores = np.zeros(self.alg.Np, dtype='bool')
BC4_pores[[11, 90]] = True
self.alg.set_boundary_conditions(bctype='Neumann',
bcvalue=0.5,
pores=BC4_pores,
mode='overwrite')
ptest = self.alg.pores('pore.Neumann')
assert np.all(ptest == self.alg._parse_locations(BC4_pores))
self.alg.set_boundary_conditions(bctype='Dirichlet',
pores=BC1_pores,
bcvalue=0.3)
ptest = self.alg.pores('pore.Dirichlet')
removed_p = self.alg._parse_locations(self.alg.Ps)
self.alg.set_boundary_conditions(bctype='Dirichlet',
pores=removed_p,
mode='remove')
Dp = np.sum(self.alg['pore.Dirichlet'])
assert Dp == 0
self.alg.set_boundary_conditions(bctype='Neumann',
mode='remove')
label = 'pore.Neumann'
assert (label not in self.alg.labels())
def test_set_BC_modes_with_boolean_masks_throats(self):
BC1_throats = np.zeros(self.alg.Nt, dtype='bool')
BC1_throats[np.arange(25, 35)] = True
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
throats=BC1_throats)
t_test = self.alg.throats('throat.Dirichlet')
assert np.all(t_test == self.alg._parse_locations(BC1_throats))
BC2_throats = np.zeros(self.alg.Nt, dtype='bool')
BC2_throats[np.arange(43, 50)] = True
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
throats=BC2_throats,
mode='merge')
t_test = self.alg.throats('throat.Dirichlet')
B1 = self.alg._parse_locations(BC1_throats)
B2 = self.alg._parse_locations(BC2_throats)
assert np.all(t_test == np.concatenate((B1, B2)))
BC3_throats = np.zeros(self.alg.Nt, dtype='bool')
BC3_throats[np.arange(4, 9)] = True
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.8,
throats=BC3_throats,
mode='overwrite')
t_test = self.alg.throats('throat.Dirichlet')
assert np.all(t_test == self.alg._parse_locations(BC3_throats))
BC4_throats = np.zeros(self.alg.Nt, dtype='bool')
BC4_throats[[11, 90]] = True
self.alg.set_boundary_conditions(bctype='Neumann',
bcvalue=0.5,
throats=BC4_throats,
mode='overwrite')
t_test = self.alg.throats('throat.Neumann')
assert np.all(t_test == self.alg._parse_locations(BC4_throats))
self.alg.set_boundary_conditions(bctype='Dirichlet',
throats=BC1_throats,
bcvalue=0.3)
t_test = self.alg.throats('throat.Dirichlet')
removed_t = self.alg._parse_locations(self.alg.Ts)
self.alg.set_boundary_conditions(bctype='Dirichlet',
throats=removed_t,
mode='remove')
Dp = np.sum(self.alg['throat.Dirichlet'])
assert Dp == 0
self.alg.set_boundary_conditions(bctype='Neumann',
mode='remove')
label = 'pore.Neumann'
assert (label not in self.alg.labels())
def test_super_pore_conductance(self):
g_super = []
BC1_pores = np.arange(20, 30)
self.alg.set_boundary_conditions(bctype='Dirichlet',
bcvalue=0.4,
pores=BC1_pores)
BC2_pores = np.arange(45, 66)
self.alg.set_boundary_conditions(bctype='Neumann_group',
bcvalue=1.4e-10,
pores=BC2_pores)
g_super.append(2e-12)
BC3_pores = np.arange(87, 94)
self.alg.set_boundary_conditions(bctype='Neumann_group',
bcvalue=-0.9e-10,
pores=BC3_pores)
g_super.append(np.ones(len(BC3_pores)) * 1.5e-12)
BC4_pores = np.arange(3, 7)
self.alg.set_boundary_conditions(bctype='Neumann_group',
bcvalue=0.1e-10,
pores=BC4_pores)
g_super.append(np.array([6.42e-13]))
self.alg.run(conductance='throat.cond',
quantity='pore.mole_fraction',
super_pore_conductance=g_super)
self.alg.return_results()
r1 = self.alg.rate(BC1_pores)[0]
r2 = self.alg.rate(BC2_pores)[0]
r3 = self.alg.rate(BC3_pores)[0]
r4 = self.alg.rate(BC4_pores)[0]
assert np.absolute(r1 + r2 + r3 + r4) < 1e-20
assert np.size(self.alg.super_pore_conductance[0]) == 1
assert np.size(self.alg.super_pore_conductance[1]) == 7
assert np.size(self.alg.super_pore_conductance[2]) == 1
def test_source_term_modes(self):
self.phys['pore.item1'] = 0.5e-12
self.phys['pore.item2'] = 2.5
self.phys['pore.item3'] = -1.4e-11
self.phys.models.add(propname='pore.A',
model=pm.generic_source_term.power_law,
A1='pore.item1',
A2='pore.item2',
A3='pore.item3',
x='mole_fraction',
return_rate=False,
regen_mode='on_demand')
self.phys.models.add(propname='pore.B',
model=pm.generic_source_term.linear,
A1='pore.item1',
A2='pore.item3',
x='mole_fraction',
return_rate=False,
regen_mode='on_demand')
S1_pores = np.arange(25, 35)
self.alg.set_source_term(source_name=['pore.A', 'pore.B'],
pores=S1_pores)
mask1 = ~np.isnan(self.alg['pore.source_nonlinear_s1_A'])
mask2 = ~np.isnan(self.alg['pore.source_nonlinear_s2_A'])
assert np.all(self.alg.Ps[mask1] == S1_pores)
assert np.all(self.alg.Ps[mask2] == S1_pores)
self.alg.set_source_term(source_name='pore.A',
pores=[26], x0=np.ones(self.phys.Np),
mode='update')
assert self.alg['pore.source_nonlinear_s1_A'][26] == 1.25e-12
S2_pores = np.array([30, 31])
self.alg.set_source_term(source_name='pore.A',
pores=S2_pores,
mode='overwrite')
mask1 = ~np.isnan(self.alg['pore.source_nonlinear_s1_A'])
assert np.all(self.alg.Ps[mask1] == S2_pores)
self.alg.set_source_term(source_name='pore.B',
pores=S1_pores,
mode='remove')
mask1 = np.isnan(self.alg['pore.source_nonlinear_s1_B'])
assert np.all(self.alg.Ps[mask1] == self.alg.Ps)
self.alg.set_source_term(source_name=['pore.A', 'pore.B'],
pores=self.alg.Ps,
mode='remove')
assert ('pore.source_B' in self.alg.labels())
assert ('pore.source_A' in self.alg.labels())
self.alg.set_source_term(source_name=['pore.A', 'pore.B'],
mode='remove')
assert ('pore.source_B' not in self.alg.labels())
assert ('pore.source_A' not in self.alg.labels())
| 51.101754
| 78
| 0.49025
| 1,557
| 14,564
| 4.398202
| 0.104046
| 0.117553
| 0.055491
| 0.084112
| 0.83163
| 0.794247
| 0.71656
| 0.690129
| 0.585134
| 0.554614
| 0
| 0.03589
| 0.401195
| 14,564
| 284
| 79
| 51.28169
| 0.749341
| 0
| 0
| 0.539855
| 0
| 0
| 0.089467
| 0.008926
| 0
| 0
| 0
| 0
| 0.134058
| 1
| 0.025362
| false
| 0
| 0.01087
| 0
| 0.039855
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 1
| 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
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| 0
| 0
| 0
|
0
| 3
|
fe3c13d3bb5c59b28cc1e5b5a35923b1537df9f4
| 1,333
|
py
|
Python
|
pgn2fixture/tests/test_utils.py
|
pointerish/pgn2fixture
|
02039680acc37cbca22fb332738e34cd113831a4
|
[
"MIT"
] | 3
|
2021-03-18T19:08:59.000Z
|
2021-10-10T03:52:49.000Z
|
pgn2fixture/tests/test_utils.py
|
pointerish/pgn2fixture
|
02039680acc37cbca22fb332738e34cd113831a4
|
[
"MIT"
] | null | null | null |
pgn2fixture/tests/test_utils.py
|
pointerish/pgn2fixture
|
02039680acc37cbca22fb332738e34cd113831a4
|
[
"MIT"
] | null | null | null |
import unittest
from .. import utils
class TestUtils(unittest.TestCase):
def setUp(self) -> None:
self.pgn_string = '''
[Event "US Championship 1963/64"]
[Site "New York, NY USA"]
[Date "1964.01.01"]
[EventDate "1963.??.??"]
[Round "11"][Result "0-1"]
[White "Anthony Saidy"]
[Black "Robert James Fischer"]
[ECO "A33"]
[WhiteElo "?"]
[BlackElo "?"][PlyCount "112"]
1. c4 0-1'''
def test_clean(self):
result = ['Event "US Championship 1963/64"', 'Site "New York, NY USA"', 'Date "1964.01.01"', 'EventDate "1963.??.??"', 'Round "11"', 'Result "0-1"',
'White "Anthony Saidy"', 'Black "Robert James Fischer"', 'ECO "A33"', 'WhiteElo "?"', 'BlackElo "?"', 'PlyCount "112"', '1. c4 0-1']
self.assertEqual(utils.clean(self.pgn_string), result)
def test_extract_tag_roster(self):
result = {'event': 'US Championship 1963/64', 'site': 'New York, NY USA', 'date': '1964.01.01', 'eventdate': '1963.??.??', 'round': '11', 'result': '0-1',
'white': 'Anthony Saidy', 'black': 'Robert James Fischer', 'eco': 'A33', 'whiteelo': '?', 'blackelo': '?', 'plycount': '112', 'moves': '1. c4 0-1'}
self.assertEqual(utils.extract_tag_roster(self.pgn_string), result)
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0
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fe8b6fcdfeb01114b63f0a0d1b3c6d4bd1396297
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py
|
Python
|
src/template_config.py
|
ckaestne/toxicity-detector
|
bb00ffe4470c6c1a2f561212d487d56eab5a5da7
|
[
"MIT"
] | 7
|
2020-03-03T18:09:48.000Z
|
2022-03-23T16:55:26.000Z
|
src/template_config.py
|
ckaestne/toxicity-detector
|
bb00ffe4470c6c1a2f561212d487d56eab5a5da7
|
[
"MIT"
] | 67
|
2020-06-09T23:57:49.000Z
|
2022-02-05T19:09:49.000Z
|
src/template_config.py
|
sophieball/toxicity-detector
|
7c07c5e6a6915428fdae64cbd3bc07caa697774e
|
[
"MIT"
] | 6
|
2020-02-21T00:19:57.000Z
|
2022-03-03T23:00:42.000Z
|
mongo = { "user": "", "passwd": "", "db": "ghtorrent" }
perspective_api_key = ""
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0
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fea8cf21ba50623dff52ac8ea09d727a155060be
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py
|
Python
|
pysnmp-with-texts/Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 8
|
2019-05-09T17:04:00.000Z
|
2021-06-09T06:50:51.000Z
|
pysnmp-with-texts/Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 4
|
2019-05-31T16:42:59.000Z
|
2020-01-31T21:57:17.000Z
|
pysnmp-with-texts/Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 10
|
2019-04-30T05:51:36.000Z
|
2022-02-16T03:33:41.000Z
|
#
# PySNMP MIB module Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB
# Produced by pysmi-0.3.4 at Wed May 1 14:31:21 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
ObjectIdentifier, OctetString, Integer = mibBuilder.importSymbols("ASN1", "ObjectIdentifier", "OctetString", "Integer")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ConstraintsUnion, ConstraintsIntersection, SingleValueConstraint, ValueRangeConstraint, ValueSizeConstraint = mibBuilder.importSymbols("ASN1-REFINEMENT", "ConstraintsUnion", "ConstraintsIntersection", "SingleValueConstraint", "ValueRangeConstraint", "ValueSizeConstraint")
mscMod, mscModIndex = mibBuilder.importSymbols("Nortel-MsCarrier-MscPassport-BaseShelfMIB", "mscMod", "mscModIndex")
DisplayString, RowStatus, StorageType, Unsigned32, Integer32 = mibBuilder.importSymbols("Nortel-MsCarrier-MscPassport-StandardTextualConventionsMIB", "DisplayString", "RowStatus", "StorageType", "Unsigned32", "Integer32")
DigitString, NonReplicated = mibBuilder.importSymbols("Nortel-MsCarrier-MscPassport-TextualConventionsMIB", "DigitString", "NonReplicated")
mscPassportMIBs, = mibBuilder.importSymbols("Nortel-MsCarrier-MscPassport-UsefulDefinitionsMIB", "mscPassportMIBs")
ModuleCompliance, NotificationGroup = mibBuilder.importSymbols("SNMPv2-CONF", "ModuleCompliance", "NotificationGroup")
Counter32, Counter64, IpAddress, ObjectIdentity, Bits, iso, Unsigned32, Gauge32, MibIdentifier, MibScalar, MibTable, MibTableRow, MibTableColumn, NotificationType, Integer32, TimeTicks, ModuleIdentity = mibBuilder.importSymbols("SNMPv2-SMI", "Counter32", "Counter64", "IpAddress", "ObjectIdentity", "Bits", "iso", "Unsigned32", "Gauge32", "MibIdentifier", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "NotificationType", "Integer32", "TimeTicks", "ModuleIdentity")
DisplayString, TextualConvention = mibBuilder.importSymbols("SNMPv2-TC", "DisplayString", "TextualConvention")
subnetInterfaceMIB = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45))
mscModVcs = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2))
mscModVcsRowStatusTable = MibTable((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 1), )
if mibBuilder.loadTexts: mscModVcsRowStatusTable.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsRowStatusTable.setDescription('This entry controls the addition and deletion of mscModVcs components.')
mscModVcsRowStatusEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 1, 1), ).setIndexNames((0, "Nortel-MsCarrier-MscPassport-BaseShelfMIB", "mscModIndex"), (0, "Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", "mscModVcsIndex"))
if mibBuilder.loadTexts: mscModVcsRowStatusEntry.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsRowStatusEntry.setDescription('A single entry in the table represents a single mscModVcs component.')
mscModVcsRowStatus = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 1, 1, 1), RowStatus()).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsRowStatus.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsRowStatus.setDescription('This variable is used as the basis for SNMP naming of mscModVcs components. These components can be added and deleted.')
mscModVcsComponentName = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 1, 1, 2), DisplayString()).setMaxAccess("readonly")
if mibBuilder.loadTexts: mscModVcsComponentName.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsComponentName.setDescription("This variable provides the component's string name for use with the ASCII Console Interface")
mscModVcsStorageType = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 1, 1, 4), StorageType()).setMaxAccess("readonly")
if mibBuilder.loadTexts: mscModVcsStorageType.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsStorageType.setDescription('This variable represents the storage type value for the mscModVcs tables.')
mscModVcsIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 1, 1, 10), NonReplicated())
if mibBuilder.loadTexts: mscModVcsIndex.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsIndex.setDescription('This variable represents the index for the mscModVcs tables.')
mscModVcsAccOptTable = MibTable((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 10), )
if mibBuilder.loadTexts: mscModVcsAccOptTable.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsAccOptTable.setDescription("Accounting information is owned by the Vc System; it is stored in the Vc Accounting component, which itself is considered to be a component on the switch. The Accounting Component contains a bit map indicating which of the accounting facilities are to be spooled in the accounting record - for example, bit '0' if set indicates that the accounting facility with facility code H.00 should be spooled if present in the Vc for accounting purposes. The data contained in the Vc Accounting must be identical network wide even though the component can be changed and upgraded on a module by module basis.")
mscModVcsAccOptEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 10, 1), ).setIndexNames((0, "Nortel-MsCarrier-MscPassport-BaseShelfMIB", "mscModIndex"), (0, "Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", "mscModVcsIndex"))
if mibBuilder.loadTexts: mscModVcsAccOptEntry.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsAccOptEntry.setDescription('An entry in the mscModVcsAccOptTable.')
mscModVcsSegmentSize = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 10, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12))).clone(namedValues=NamedValues(("n1", 0), ("n2", 1), ("n4", 2), ("n8", 3), ("n16", 4), ("n32", 5), ("n64", 6), ("n128", 7), ("n256", 8), ("n512", 9), ("n1024", 10), ("n2048", 11), ("n4096", 12))).clone('n128')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsSegmentSize.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsSegmentSize.setDescription('This attribute specifies the segment size for accounting of national calls. Minimum allowed segment size is 1. If data segment is sent which is less than segmentSize it is still counted as one segment.')
mscModVcsUnitsCounted = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 10, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("segments", 0), ("frames", 1))).clone('segments')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsUnitsCounted.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsUnitsCounted.setDescription('This attribute specifies what is counted by frame services. If set to frames, frames are counted, else segments are counted.')
mscModVcsAccountingFax = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 10, 1, 3), OctetString().subtype(subtypeSpec=ValueSizeConstraint(1, 1)).setFixedLength(1).clone(hexValue="20")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsAccountingFax.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsAccountingFax.setDescription('Each value corresponds to an accounting facility code, of which there are currently 10 facility codes defined with codes H.00 to H.09, and corresponding to the above 10 facilities. Each of the above facilities may or may not be present and stored in the Vc for accounting purposes, depending on the nature of the call. For example, only those Vcs where a NUI (Network User Identifier) is used for charging or identification purposes will have a NUI stored in the Vc. Description of bits: notused0(0) notused1(1) originalCalledAddressFax(2)')
mscModVcsGenerationMode = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 10, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("bothEnds", 0), ("singleEnd", 1))).clone('singleEnd')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsGenerationMode.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsGenerationMode.setDescription('This attribute specifies part of the rules by which the network generates accounting records. If set to bothEnds, then both ends of the Vc generate accounting records. If set to singleEnd, then the charged end of the Vc generates accounting records. In single end generation mode, if the call does not clear gracefully, both ends of the Vc will generate accounting record.')
mscModVcsAddOptTable = MibTable((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12), )
if mibBuilder.loadTexts: mscModVcsAddOptTable.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsAddOptTable.setDescription('The Vc AddressingOptions group describes the addressing parameters. It is currently owned by the Vc. Most of the data contained in the Vc AddressingOptions group is identical network wide even though the group can be changed and upgraded on a module by module basis.')
mscModVcsAddOptEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1), ).setIndexNames((0, "Nortel-MsCarrier-MscPassport-BaseShelfMIB", "mscModIndex"), (0, "Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", "mscModVcsIndex"))
if mibBuilder.loadTexts: mscModVcsAddOptEntry.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsAddOptEntry.setDescription('An entry in the mscModVcsAddOptTable.')
mscModVcsDefaultNumberingPlan = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("x121", 0), ("e164", 1))).clone('x121')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsDefaultNumberingPlan.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsDefaultNumberingPlan.setDescription('This attribute specifies the numbering plan used which determines the address format: X.121-- the international numbering plan for public packet switched data networks or E.164-- the international numbering plan for ISDN and PSTN. The default numbering plan does not need to be consistent across all of the nodes in the network.')
mscModVcsNetworkIdType = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 4), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("dnic", 0), ("inic", 1))).clone('dnic')).setMaxAccess("readonly")
if mibBuilder.loadTexts: mscModVcsNetworkIdType.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsNetworkIdType.setDescription('This attribute specifies whether the network uses a DNIC or INIC. It is used by X.75 Gateways to indicate whether in network the DNIC or INIC is used in various utilities. If it is DNIC it can be DNIC or DCC type. If it is INIC it can be 4 digits only.')
mscModVcsX121Type = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("dnic", 0), ("dcc", 1))).clone('dnic')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsX121Type.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsX121Type.setDescription('This attribute specifies whether DNIC mode or DCC mode is used in X.121 address of international calls. If DCC is specified, then the first 3 digits of each DNA must be the Network ID Code. If this attribute is changed all Dnas in the network must start with this code. Numbering plan is affected by the change.')
mscModVcsNetworkIdCode = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 6), DigitString().subtype(subtypeSpec=ValueSizeConstraint(3, 4))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsNetworkIdCode.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsNetworkIdCode.setDescription('This attribute specifies the DNIC (Data Network ID Code) of the network or DCC code.')
mscModVcsX121IntlAddresses = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 7), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("disallowed", 0), ("allowed", 1))).clone('allowed')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsX121IntlAddresses.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsX121IntlAddresses.setDescription('This attribute indicates if any DTE is allowed to signal international addresses.')
mscModVcsX121IntllPrefixDigit = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 8), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 9)).clone(9)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsX121IntllPrefixDigit.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsX121IntllPrefixDigit.setDescription('This attribute indicates the prefix digit to be used for X.121 international calls. When this digit is provided the call will have full international address.')
mscModVcsX121MinAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 11), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsX121MinAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsX121MinAddressLength.setDescription('This attribute indicates minimum length of x121 address.')
mscModVcsX121MaxAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 12), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(15)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsX121MaxAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsX121MaxAddressLength.setDescription('This attribute indicates maximum length of x121 address.')
mscModVcsX121ToE164EscapeSignificance = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 13), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("no", 0), ("yes", 1))).clone('no')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsX121ToE164EscapeSignificance.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsX121ToE164EscapeSignificance.setDescription('This attribute specifies whether an X.121 to E.164 escape digit has significance in selecting an X.32 (analog) or an ISDN switched path. If two values are significant (the value 0 or the value 9) then yes is set to this attribute. If the value of the originally entered escape digit is not significant in routing the call then value of no is assigned to this attribute.')
mscModVcsE164IntlFormatAllowed = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 14), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("disallowed", 0), ("allowed", 1))).clone('allowed')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164IntlFormatAllowed.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164IntlFormatAllowed.setDescription("This attribute indicates whether or not to allow national format E.164 addresses. If this attribute is set to a value of Yes (=1) then national format E.164 addresses are not allowed and international format addresses only are allowed. If this attribute is set to a value of No (=0), then national format E.164 addresses are allowed. If only international format E.164 addresses are allowed, then the 'e164NatlPrefixDigit' attribute is not required, nor is the 'e164IntlPrefixDigits' required.")
mscModVcsE164IntlPrefixDigits = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 15), DigitString().subtype(subtypeSpec=ValueSizeConstraint(0, 3)).clone(hexValue="30")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164IntlPrefixDigits.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164IntlPrefixDigits.setDescription("This attribute specifies the E.164 international prefix digits. If applicable, it is specified as 1 to 3 BCD digits. The 3 BCD digits are stored with the length of the international prefix in the low order nibble, nibble [0] followed by the most significant digit of the international prefix in the next low order nibble, nibble [1], etc. This attribute is not required if the corresponding attribute, 'e164IntlFormatOnly' is set to a value of Yes (=1).")
mscModVcsE164NatlPrefixDigit = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 16), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(0, 9)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164NatlPrefixDigit.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164NatlPrefixDigit.setDescription('This attribute contains the E.164 national prefix which may be added in front of E.164 local or national call. If e164IntlFormatOnly is set to 1, this attribute is not needed.')
mscModVcsE164LocalAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 17), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(4, 15)).clone(7)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164LocalAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164LocalAddressLength.setDescription('This attribute indicates the length of a local E.164 DNA on this module. This attribute is not required if the corresponding attribute, e164IntlFormatOnly is set to a value of yes. This attribute does not need to be consistent across all of the nodes in the network.')
mscModVcsE164TeleCountryCode = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 18), DigitString().subtype(subtypeSpec=ValueSizeConstraint(1, 4)).clone(hexValue="31")).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164TeleCountryCode.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164TeleCountryCode.setDescription('This attribute specifies the E.164 Telephone Country Code (TCC) for the country in which the network resides. If applicable, it is specified as 1 to 3 BCD digits. The 3 BCD digits are stored with the length of the TCC in the low order nibble, nibble [0] followed by the most significant digit of the TCC in the next low order nibble, nibble [1], etc.')
mscModVcsE164NatlMinAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 20), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164NatlMinAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164NatlMinAddressLength.setDescription('This attribute indicates minimum length of e164 national address.')
mscModVcsE164NatlMaxAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 21), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(15)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164NatlMaxAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164NatlMaxAddressLength.setDescription('This attribute indicates maximum length of e164 national address.')
mscModVcsE164IntlMinAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 22), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164IntlMinAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164IntlMinAddressLength.setDescription('This attribute indicates minimum length of e164 international address.')
mscModVcsE164IntlMaxAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 23), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(15)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164IntlMaxAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164IntlMaxAddressLength.setDescription('This attribute indicates maximum length of e164 international address.')
mscModVcsE164LocalMinAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 24), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164LocalMinAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164LocalMinAddressLength.setDescription('This attribute indicates minimum length of e164 local address.')
mscModVcsE164LocalMaxAddressLength = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 12, 1, 25), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 16)).clone(15)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsE164LocalMaxAddressLength.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsE164LocalMaxAddressLength.setDescription('This attribute indicates maximum length of e164 local address.')
mscModVcsIntOptTable = MibTable((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 13), )
if mibBuilder.loadTexts: mscModVcsIntOptTable.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsIntOptTable.setDescription('The Vc InterfaceOptions group defines Vc system parameters common in the network. It is owned by the Vc and is considered to be a module wide component on the switch. The data contained in the Vc InterfaceOptions group must be identical network wide even though this group can be changed and upgraded on a module by module basis.')
mscModVcsIntOptEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 13, 1), ).setIndexNames((0, "Nortel-MsCarrier-MscPassport-BaseShelfMIB", "mscModIndex"), (0, "Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", "mscModVcsIndex"))
if mibBuilder.loadTexts: mscModVcsIntOptEntry.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsIntOptEntry.setDescription('An entry in the mscModVcsIntOptTable.')
mscModVcsHighPriorityPacketSizes = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 13, 1, 1), OctetString().subtype(subtypeSpec=ValueSizeConstraint(2, 2)).setFixedLength(2).clone(hexValue="ff80")).setMaxAccess("readonly")
if mibBuilder.loadTexts: mscModVcsHighPriorityPacketSizes.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsHighPriorityPacketSizes.setDescription('This attribute indicates which packet sizes are supported for high priority calls within the network. Description of bits: n16(0) n32(1) n64(2) n128(3) n256(4) n512(5) n1024(6) n2048(7) n4096(8)')
mscModVcsMaxSubnetPacketSize = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 13, 1, 2), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(4, 5, 6, 7, 8, 9, 10, 11, 12))).clone(namedValues=NamedValues(("n16", 4), ("n32", 5), ("n64", 6), ("n128", 7), ("n256", 8), ("n512", 9), ("n1024", 10), ("n2048", 11), ("n4096", 12))).clone('n512')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsMaxSubnetPacketSize.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsMaxSubnetPacketSize.setDescription('This attribute specifies the maximum subnet packet size used for the connections originating or terminating on this module. All modules in the same network should have the same maxSubnetPacketSize. If this value is not identical throughout the network, the following points need to be considered: a) When Passport and DPN switches are connected in the same network, the maxSubnetPacketSize on a DPN switch can be at most 2048 and the DPN part of the network must be configured with hardware which supports this size: - Dedicated PE386 Network link/Trunk - Minimum measured link speed of 256Kbits/sec This hardware has to be present on every potential data path between connecting end points! b) The calling end of the connection signals the maxSubnetPacketSize value to the called end. The called end then compares this value to its own provisioned value and selects the smaller value. Note that this smaller value is not signalled back to the calling end. The calling and called ends can therefore have different maxSubnetPacketSize values.')
mscModVcsCallSetupTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 13, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(5, 100)).clone(5)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsCallSetupTimer.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsCallSetupTimer.setDescription('This attribute specifies the Vc callSetupTimer in units of 1 second ticks. This timer specifies how long the Vc will wait, after sending a subnet Call Request packet into the network, for a response from the remote end of the Vc (in the form of a subnet Raccept packet). If, after sending a subnet Call packet into the network, a response is not received within this time period, the Vc will time out, clearing the call in the assumption that the remote end is unreachable. This timer must be long enough to take into account the time required for routing the subnet Call Request through the Source Call Routing and the Destination Call Routing systems in order to be delivered to the final destination.')
mscModVcsCallRetryTimer = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 13, 1, 4), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(30, 300)).clone(60)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsCallRetryTimer.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsCallRetryTimer.setDescription('This attribute specifies, for Vc implementing Direct Calls with the auto-call retry feature (including PVCs), the Vc callRetryTimer in units of 1 second ticks. This timer specifies how long the Vc will wait between unsuccessful call attempts.')
mscModVcsDelaySubnetAcks = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 13, 1, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1))).clone(namedValues=NamedValues(("no", 0), ("yes", 1))).clone('no')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsDelaySubnetAcks.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsDelaySubnetAcks.setDescription('This attribute specifies delay acknowledgment timer mechanism. If this attribute is set to no, then the Vc will automatically return acknowledgment packets without delay. If this attribute is set to yes, then the Vc will wait for one second in an attempt to piggyback the acknowledgment packet on another credit or data packet. If the Vc cannot piggyback the acknowledgment packet within this time, then the packet is returned without piggybacking.')
mscModVcsWinsTable = MibTable((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 213), )
if mibBuilder.loadTexts: mscModVcsWinsTable.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsWinsTable.setDescription('This is the windowSize corresponding to the given packet size and throughput class. All Vcs using the windowSize matrix support large Vc windows on both ends of the Vc, and support the signalling of the chosen Vc window size from the destination (called) end to the source (calling) end. This is the only matrix supported. The windowSize should be configured in the same way network wide, though it can be upgraded on a module by module basis. Vcs using the windowSize matrix will run properly if the matrices on different nodes differ since the Vc window is selected by the destination (called) side of the Vc.')
mscModVcsWinsEntry = MibTableRow((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 213, 1), ).setIndexNames((0, "Nortel-MsCarrier-MscPassport-BaseShelfMIB", "mscModIndex"), (0, "Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", "mscModVcsIndex"), (0, "Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", "mscModVcsWinsPktIndex"), (0, "Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", "mscModVcsWinsTptIndex"))
if mibBuilder.loadTexts: mscModVcsWinsEntry.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsWinsEntry.setDescription('An entry in the mscModVcsWinsTable.')
mscModVcsWinsPktIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 213, 1, 1), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11))).clone(namedValues=NamedValues(("n16", 0), ("n32", 1), ("n64", 2), ("n128", 3), ("n256", 4), ("n512", 5), ("n1024", 6), ("n2048", 7), ("n4096", 8), ("n8192", 9), ("n32768", 10), ("n65535", 11))))
if mibBuilder.loadTexts: mscModVcsWinsPktIndex.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsWinsPktIndex.setDescription('This variable represents the next to last index for the mscModVcsWinsTable.')
mscModVcsWinsTptIndex = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 213, 1, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(0, 15)))
if mibBuilder.loadTexts: mscModVcsWinsTptIndex.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsWinsTptIndex.setDescription('This variable represents the final index for the mscModVcsWinsTable.')
mscModVcsWinsValue = MibTableColumn((1, 3, 6, 1, 4, 1, 562, 36, 2, 1, 16, 2, 213, 1, 3), Unsigned32().subtype(subtypeSpec=ValueRangeConstraint(1, 63))).setMaxAccess("readwrite")
if mibBuilder.loadTexts: mscModVcsWinsValue.setStatus('mandatory')
if mibBuilder.loadTexts: mscModVcsWinsValue.setDescription('This variable represents an individual value for the mscModVcsWinsTable.')
subnetInterfaceGroup = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 1))
subnetInterfaceGroupCA = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 1, 1))
subnetInterfaceGroupCA02 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 1, 1, 3))
subnetInterfaceGroupCA02A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 1, 1, 3, 2))
subnetInterfaceCapabilities = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 3))
subnetInterfaceCapabilitiesCA = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 3, 1))
subnetInterfaceCapabilitiesCA02 = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 3, 1, 3))
subnetInterfaceCapabilitiesCA02A = MibIdentifier((1, 3, 6, 1, 4, 1, 562, 36, 2, 2, 45, 3, 1, 3, 2))
mibBuilder.exportSymbols("Nortel-MsCarrier-MscPassport-SubnetInterfaceMIB", mscModVcsStorageType=mscModVcsStorageType, mscModVcs=mscModVcs, mscModVcsRowStatusEntry=mscModVcsRowStatusEntry, mscModVcsX121MinAddressLength=mscModVcsX121MinAddressLength, mscModVcsRowStatus=mscModVcsRowStatus, mscModVcsE164NatlMinAddressLength=mscModVcsE164NatlMinAddressLength, mscModVcsAccOptTable=mscModVcsAccOptTable, mscModVcsE164LocalAddressLength=mscModVcsE164LocalAddressLength, mscModVcsE164IntlMinAddressLength=mscModVcsE164IntlMinAddressLength, mscModVcsE164IntlMaxAddressLength=mscModVcsE164IntlMaxAddressLength, mscModVcsE164LocalMaxAddressLength=mscModVcsE164LocalMaxAddressLength, mscModVcsWinsTptIndex=mscModVcsWinsTptIndex, mscModVcsE164IntlPrefixDigits=mscModVcsE164IntlPrefixDigits, mscModVcsComponentName=mscModVcsComponentName, mscModVcsIndex=mscModVcsIndex, subnetInterfaceGroupCA=subnetInterfaceGroupCA, mscModVcsX121IntllPrefixDigit=mscModVcsX121IntllPrefixDigit, mscModVcsDelaySubnetAcks=mscModVcsDelaySubnetAcks, mscModVcsX121Type=mscModVcsX121Type, mscModVcsWinsTable=mscModVcsWinsTable, mscModVcsE164NatlPrefixDigit=mscModVcsE164NatlPrefixDigit, subnetInterfaceMIB=subnetInterfaceMIB, mscModVcsAccountingFax=mscModVcsAccountingFax, mscModVcsMaxSubnetPacketSize=mscModVcsMaxSubnetPacketSize, mscModVcsAddOptTable=mscModVcsAddOptTable, mscModVcsWinsValue=mscModVcsWinsValue, subnetInterfaceCapabilitiesCA02A=subnetInterfaceCapabilitiesCA02A, subnetInterfaceCapabilities=subnetInterfaceCapabilities, subnetInterfaceGroupCA02=subnetInterfaceGroupCA02, subnetInterfaceCapabilitiesCA=subnetInterfaceCapabilitiesCA, mscModVcsX121MaxAddressLength=mscModVcsX121MaxAddressLength, mscModVcsE164IntlFormatAllowed=mscModVcsE164IntlFormatAllowed, subnetInterfaceGroup=subnetInterfaceGroup, mscModVcsSegmentSize=mscModVcsSegmentSize, mscModVcsX121IntlAddresses=mscModVcsX121IntlAddresses, mscModVcsGenerationMode=mscModVcsGenerationMode, mscModVcsWinsEntry=mscModVcsWinsEntry, mscModVcsUnitsCounted=mscModVcsUnitsCounted, mscModVcsNetworkIdType=mscModVcsNetworkIdType, mscModVcsAccOptEntry=mscModVcsAccOptEntry, mscModVcsAddOptEntry=mscModVcsAddOptEntry, mscModVcsX121ToE164EscapeSignificance=mscModVcsX121ToE164EscapeSignificance, mscModVcsDefaultNumberingPlan=mscModVcsDefaultNumberingPlan, mscModVcsIntOptTable=mscModVcsIntOptTable, mscModVcsCallRetryTimer=mscModVcsCallRetryTimer, mscModVcsWinsPktIndex=mscModVcsWinsPktIndex, mscModVcsCallSetupTimer=mscModVcsCallSetupTimer, mscModVcsE164NatlMaxAddressLength=mscModVcsE164NatlMaxAddressLength, subnetInterfaceGroupCA02A=subnetInterfaceGroupCA02A, mscModVcsNetworkIdCode=mscModVcsNetworkIdCode, mscModVcsE164TeleCountryCode=mscModVcsE164TeleCountryCode, mscModVcsIntOptEntry=mscModVcsIntOptEntry, subnetInterfaceCapabilitiesCA02=subnetInterfaceCapabilitiesCA02, mscModVcsE164LocalMinAddressLength=mscModVcsE164LocalMinAddressLength, mscModVcsRowStatusTable=mscModVcsRowStatusTable, mscModVcsHighPriorityPacketSizes=mscModVcsHighPriorityPacketSizes)
| 197.02994
| 2,993
| 0.792973
| 4,056
| 32,904
| 6.432939
| 0.144724
| 0.042312
| 0.074046
| 0.008585
| 0.451364
| 0.282807
| 0.268358
| 0.246244
| 0.233405
| 0.228576
| 0
| 0.068026
| 0.099775
| 32,904
| 166
| 2,994
| 198.216867
| 0.812835
| 0.011792
| 0
| 0
| 0
| 0.150943
| 0.394746
| 0.030701
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.069182
| 0.062893
| 0
| 0.062893
| 0
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| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 1
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
|
0
| 3
|
feae2347f1d740037425173028bb1b3d8af9f2a3
| 153
|
py
|
Python
|
hotpot_sample_dict.py
|
bvanaken/pytorch-pretrained-BERT
|
71c1660fb082fa5ebde4afd8c7db2bc96b80bb59
|
[
"Apache-2.0"
] | 1
|
2022-02-06T15:59:12.000Z
|
2022-02-06T15:59:12.000Z
|
hotpot_sample_dict.py
|
bvanaken/pytorch-pretrained-BERT
|
71c1660fb082fa5ebde4afd8c7db2bc96b80bb59
|
[
"Apache-2.0"
] | null | null | null |
hotpot_sample_dict.py
|
bvanaken/pytorch-pretrained-BERT
|
71c1660fb082fa5ebde4afd8c7db2bc96b80bb59
|
[
"Apache-2.0"
] | null | null | null |
samples = {
"2_brother_plays": {
"question_parts": [range(1, 13), range(13, 17)],
"sp_parts": [range(20, 43), range(50, 60)]
}
}
| 21.857143
| 56
| 0.51634
| 20
| 153
| 3.75
| 0.75
| 0.266667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.142857
| 0.267974
| 153
| 6
| 57
| 25.5
| 0.526786
| 0
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| 0
| 0
| 0
| 0.24183
| 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
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| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
feb1798a65bfb807865b5bcdd876a894d5048086
| 319
|
py
|
Python
|
code/config/imports.py
|
farioso-fernando/cover-meu-beat
|
b15a9c0c97086e51e42cee4dd40e7d0650130d0e
|
[
"MIT"
] | null | null | null |
code/config/imports.py
|
farioso-fernando/cover-meu-beat
|
b15a9c0c97086e51e42cee4dd40e7d0650130d0e
|
[
"MIT"
] | null | null | null |
code/config/imports.py
|
farioso-fernando/cover-meu-beat
|
b15a9c0c97086e51e42cee4dd40e7d0650130d0e
|
[
"MIT"
] | null | null | null |
from kivy.uix.screenmanager import ScreenManager
from kivy.uix.boxlayout import BoxLayout
from kivy.lang.builder import Builder
from kivy.animation import Animation
from kivy.core.window import Window
from kivymd.app import MDApp
import kivymd
import kivy
print(
)
def version():
kivy.require('2.0.0')
print(
)
| 16.789474
| 48
| 0.789969
| 47
| 319
| 5.361702
| 0.425532
| 0.15873
| 0.087302
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01087
| 0.134796
| 319
| 19
| 49
| 16.789474
| 0.902174
| 0
| 0
| 0.142857
| 0
| 0
| 0.015625
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.071429
| true
| 0
| 0.571429
| 0
| 0.642857
| 0.142857
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
feb27ff41ef1690499bd0cbcb5cc15ed8e07d63d
| 868
|
py
|
Python
|
pytglib/api/types/can_transfer_ownership_result_password_too_fresh.py
|
iTeam-co/pytglib
|
e5e75e0a85f89b77762209b32a61b0a883c0ae61
|
[
"MIT"
] | 6
|
2019-10-30T08:57:27.000Z
|
2021-02-08T14:17:43.000Z
|
pytglib/api/types/can_transfer_ownership_result_password_too_fresh.py
|
iTeam-co/python-telegram
|
e5e75e0a85f89b77762209b32a61b0a883c0ae61
|
[
"MIT"
] | 1
|
2021-08-19T05:44:10.000Z
|
2021-08-19T07:14:56.000Z
|
pytglib/api/types/can_transfer_ownership_result_password_too_fresh.py
|
iTeam-co/python-telegram
|
e5e75e0a85f89b77762209b32a61b0a883c0ae61
|
[
"MIT"
] | 5
|
2019-12-04T05:30:39.000Z
|
2021-05-21T18:23:32.000Z
|
from ..utils import Object
class CanTransferOwnershipResultPasswordTooFresh(Object):
"""
The 2-step verification was enabled recently, user needs to wait
Attributes:
ID (:obj:`str`): ``CanTransferOwnershipResultPasswordTooFresh``
Args:
retry_after (:obj:`int`):
Time left before the session can be used to transfer ownership of a chat, in seconds
Returns:
CanTransferOwnershipResult
Raises:
:class:`telegram.Error`
"""
ID = "canTransferOwnershipResultPasswordTooFresh"
def __init__(self, retry_after, **kwargs):
self.retry_after = retry_after # int
@staticmethod
def read(q: dict, *args) -> "CanTransferOwnershipResultPasswordTooFresh":
retry_after = q.get('retry_after')
return CanTransferOwnershipResultPasswordTooFresh(retry_after)
| 26.30303
| 96
| 0.68318
| 81
| 868
| 7.185185
| 0.666667
| 0.120275
| 0.04811
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001502
| 0.232719
| 868
| 32
| 97
| 27.125
| 0.872372
| 0.413594
| 0
| 0
| 0
| 0
| 0.208791
| 0.184615
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0.444444
| 0.111111
| 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
| 1
| 0
| 1
| 0
| 0
| 1
| 0
|
0
| 3
|
feb6feac24e99949d73380d3a6510ebf108ac24b
| 229
|
py
|
Python
|
utils/pretty-tests.py
|
isJuhn/pcsx2_ipc
|
51f92d51aec05dffa82d418c97fc1d628b2ed40f
|
[
"MIT"
] | 7
|
2021-07-09T20:23:19.000Z
|
2022-03-14T06:56:14.000Z
|
utils/pretty-tests.py
|
isJuhn/pcsx2_ipc
|
51f92d51aec05dffa82d418c97fc1d628b2ed40f
|
[
"MIT"
] | 2
|
2021-03-07T16:14:44.000Z
|
2021-03-30T07:48:05.000Z
|
utils/pretty-tests.py
|
isJuhn/pcsx2_ipc
|
51f92d51aec05dffa82d418c97fc1d628b2ed40f
|
[
"MIT"
] | 1
|
2021-03-07T15:59:31.000Z
|
2021-03-07T15:59:31.000Z
|
import json
import sys
f=open(sys.argv[1])
y = json.loads(f.read())
print("Tests results: " + str(y["result"]))
print("Tests duration: " + str(y["duration"]))
print("Tests output:\n~~~~~~~~~~~~~~~~~~~~\n" + str(y["stdout"]))
| 25.444444
| 66
| 0.576419
| 34
| 229
| 3.882353
| 0.558824
| 0.227273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.004926
| 0.113537
| 229
| 8
| 67
| 28.625
| 0.64532
| 0
| 0
| 0
| 0
| 0
| 0.384279
| 0.135371
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.285714
| 0
| 0.285714
| 0.428571
| 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
| 0
| 0
| 0
| 0
| 0
| 1
|
0
| 3
|
22807a6716e561a1f502377b8a28eba78ad26040
| 322
|
py
|
Python
|
debugtalk.py
|
caoyp2/HRunDemo
|
41810a2fd366c780ea8f2bf9b4328fdd60aba171
|
[
"Apache-2.0"
] | null | null | null |
debugtalk.py
|
caoyp2/HRunDemo
|
41810a2fd366c780ea8f2bf9b4328fdd60aba171
|
[
"Apache-2.0"
] | null | null | null |
debugtalk.py
|
caoyp2/HRunDemo
|
41810a2fd366c780ea8f2bf9b4328fdd60aba171
|
[
"Apache-2.0"
] | null | null | null |
import datetime
import time
def sleep(n_secs):
time.sleep(n_secs)
def get_timestamp():
dtime = datetime.datetime.now()
un_time = time.mktime(dtime.timetuple())
return str(un_time)
def print_docId(docId):
print(docId)
def print_phonepass(phone,password):
print(phone + "---------" + password)
| 16.947368
| 44
| 0.677019
| 43
| 322
| 4.906977
| 0.488372
| 0.066351
| 0.094787
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.177019
| 322
| 18
| 45
| 17.888889
| 0.796226
| 0
| 0
| 0
| 0
| 0
| 0.028037
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.333333
| false
| 0.166667
| 0.166667
| 0
| 0.583333
| 0.333333
| 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
| 0
| 1
| 0
|
0
| 3
|
2285d8fefdc5efe988f942a7eb7b3f78ecd84063
| 310
|
py
|
Python
|
category/models.py
|
captainxavier/AutoBlog
|
44fb23628fe0210a3dcec80b91e1217d27ee9462
|
[
"MIT"
] | null | null | null |
category/models.py
|
captainxavier/AutoBlog
|
44fb23628fe0210a3dcec80b91e1217d27ee9462
|
[
"MIT"
] | null | null | null |
category/models.py
|
captainxavier/AutoBlog
|
44fb23628fe0210a3dcec80b91e1217d27ee9462
|
[
"MIT"
] | null | null | null |
from django.db import models
class Category(models.Model):
title = models.CharField(max_length=20)
class Meta:
db_table = 'category'
verbose_name = ("Category")
verbose_name_plural = ("Categories")
def __str__(self):
return self.title
| 15.5
| 45
| 0.590323
| 33
| 310
| 5.272727
| 0.69697
| 0.172414
| 0.218391
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.009479
| 0.319355
| 310
| 19
| 46
| 16.315789
| 0.815166
| 0
| 0
| 0
| 0
| 0
| 0.089965
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| false
| 0
| 0.111111
| 0.111111
| 0.666667
| 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
| 0
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
22881ed2f077cedcedaa10dbf83c13905a622021
| 113
|
py
|
Python
|
main_module/__init__.py
|
JohanNicander/python-test-architecture
|
2418f861cb46c3fccaa21be94ee92c5862985a15
|
[
"Apache-2.0"
] | null | null | null |
main_module/__init__.py
|
JohanNicander/python-test-architecture
|
2418f861cb46c3fccaa21be94ee92c5862985a15
|
[
"Apache-2.0"
] | null | null | null |
main_module/__init__.py
|
JohanNicander/python-test-architecture
|
2418f861cb46c3fccaa21be94ee92c5862985a15
|
[
"Apache-2.0"
] | null | null | null |
from .zero import zero
from main_module._unittester import UnitTester
test = UnitTester(__name__)
del UnitTester
| 22.6
| 46
| 0.840708
| 15
| 113
| 5.933333
| 0.6
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.115044
| 113
| 5
| 47
| 22.6
| 0.89
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.5
| 0
| 0.5
| 0
| 1
| 0
| 0
| null | 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
| 3
|
22896fc7355f1baa1a7f7d9e3165cdfe2c0b6611
| 165
|
py
|
Python
|
src/node/ext/ldap/scope.py
|
enfold/node.ext.ldap
|
28127057be6ba3092389f3c920575292d43d9f94
|
[
"BSD-2-Clause"
] | 3
|
2016-04-22T00:37:17.000Z
|
2020-04-03T07:14:54.000Z
|
src/node/ext/ldap/scope.py
|
enfold/node.ext.ldap
|
28127057be6ba3092389f3c920575292d43d9f94
|
[
"BSD-2-Clause"
] | 51
|
2015-02-10T11:14:01.000Z
|
2021-05-05T11:06:59.000Z
|
src/node/ext/ldap/scope.py
|
enfold/node.ext.ldap
|
28127057be6ba3092389f3c920575292d43d9f94
|
[
"BSD-2-Clause"
] | 12
|
2016-08-09T09:39:35.000Z
|
2020-04-18T14:53:56.000Z
|
# -*- coding: utf-8 -*-
import ldap
BASE = ldap.SCOPE_BASE
ONELEVEL = ldap.SCOPE_ONELEVEL
SUBTREE = ldap.SCOPE_SUBTREE
SCOPES = [BASE, ONELEVEL, SUBTREE]
del ldap
| 16.5
| 34
| 0.727273
| 23
| 165
| 5.086957
| 0.478261
| 0.230769
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.007143
| 0.151515
| 165
| 9
| 35
| 18.333333
| 0.828571
| 0.127273
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.166667
| 0
| 0.166667
| 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
| 0
| 0
|
0
| 3
|
22a5b5de1219dd90ee90a5e573d5793e913c42ca
| 379
|
py
|
Python
|
queries/general_queries.py
|
souparvo/airflow-plugins
|
0ca7fa634335145b69671054680d5d67de329644
|
[
"BSD-3-Clause"
] | null | null | null |
queries/general_queries.py
|
souparvo/airflow-plugins
|
0ca7fa634335145b69671054680d5d67de329644
|
[
"BSD-3-Clause"
] | null | null | null |
queries/general_queries.py
|
souparvo/airflow-plugins
|
0ca7fa634335145b69671054680d5d67de329644
|
[
"BSD-3-Clause"
] | null | null | null |
def insert_metatable():
"""SQL query to insert records from table insert into a table on a DB
"""
return """
INSERT INTO TABLE {{ params.target_schema }}.{{ params.target_table }} VALUES
('{{ params.schema }}', '{{ params.table }}', {{ ti.xcom_pull(key='hive_res', task_ids=params.count_inserts)[0][0] }}, current_timestamp(), '{{ params.type }}');
"""
| 42.111111
| 165
| 0.62533
| 49
| 379
| 4.673469
| 0.653061
| 0.087336
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.006452
| 0.182058
| 379
| 9
| 166
| 42.111111
| 0.732258
| 0.174142
| 0
| 0
| 0
| 0.2
| 0.84106
| 0.211921
| 0
| 0
| 0
| 0
| 0
| 1
| 0.2
| true
| 0
| 0
| 0
| 0.4
| 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
| 1
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
22ab90482878ca5263216eabd709a4a4b0c55fab
| 338
|
py
|
Python
|
gfwlist/gen.py
|
lipeijian/shadowsocks-android
|
ef707e4383a0d430775c8ac9b660c334e87e40ec
|
[
"OpenSSL",
"MIT"
] | 137
|
2016-08-04T13:34:02.000Z
|
2021-05-31T12:47:10.000Z
|
gfwlist/gen.py
|
lipeijian/shadowsocks-android
|
ef707e4383a0d430775c8ac9b660c334e87e40ec
|
[
"OpenSSL",
"MIT"
] | 9
|
2016-10-16T14:43:30.000Z
|
2018-04-21T11:02:39.000Z
|
gfwlist/gen.py
|
lipeijian/shadowsocks-android
|
ef707e4383a0d430775c8ac9b660c334e87e40ec
|
[
"OpenSSL",
"MIT"
] | 86
|
2016-08-30T07:22:19.000Z
|
2020-10-19T05:08:22.000Z
|
#!/usr/bin/python
# -*- encoding: utf8 -*-
import itertools
import math
import sys
import IPy
def main():
china_list_set = IPy.IPSet()
for line in sys.stdin:
china_list_set.add(IPy.IP(line))
# 输出结果
for ip in china_list_set:
print '<item>' + str(ip) + '</item>'
if __name__ == "__main__":
main()
| 14.695652
| 44
| 0.60355
| 48
| 338
| 3.958333
| 0.583333
| 0.142105
| 0.189474
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003937
| 0.248521
| 338
| 22
| 45
| 15.363636
| 0.744094
| 0.130178
| 0
| 0
| 0
| 0
| 0.072165
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | null | 0
| 0.333333
| null | null | 0.083333
| 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
| 1
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
22b5613b1a36e6519fc3f676eadefe6b4b566ae1
| 968
|
py
|
Python
|
src/query_planner/abstract_scan_plan.py
|
imvinod/Eva
|
0ed9814ae89db7dce1fb734dc99d5dac69cb3c82
|
[
"Apache-2.0"
] | 1
|
2019-11-06T03:30:08.000Z
|
2019-11-06T03:30:08.000Z
|
src/query_planner/abstract_scan_plan.py
|
imvinod/Eva
|
0ed9814ae89db7dce1fb734dc99d5dac69cb3c82
|
[
"Apache-2.0"
] | 1
|
2019-11-18T03:09:56.000Z
|
2019-11-18T03:09:56.000Z
|
src/query_planner/abstract_scan_plan.py
|
asrayousuf/Eva
|
f652e5d398556055490c146f37e7a2d7a9d091f3
|
[
"Apache-2.0"
] | null | null | null |
"""Abstract class for all the scan planners
https://www.postgresql.org/docs/9.1/using-explain.html
https://www.postgresql.org/docs/9.5/runtime-config-query.html
"""
from src.query_planner.abstract_plan import AbstractPlan
from typing import List
class AbstractScan(AbstractPlan):
"""Abstract class for all the scan based planners
Arguments:
predicate : Expression
video : video on which the scan will be executed
columns_id :
"""
def __init__(self, predicate: Expression, video: Storage,
column_ids: List[int]):
super(AbstractScan, self).__init__()
self._predicate = predicate
self._column_ids = column_ids
self._video = video
@property
def video(self) -> Storage:
return self._video
@property
def predicate(self) -> Expression:
return self._predicate
@property
def column_ids(self) -> List:
return self._column_ids
| 26.162162
| 61
| 0.664256
| 117
| 968
| 5.307692
| 0.444444
| 0.072464
| 0.05153
| 0.061192
| 0.167472
| 0.167472
| 0
| 0
| 0
| 0
| 0
| 0.005472
| 0.244835
| 968
| 36
| 62
| 26.888889
| 0.844049
| 0.326446
| 0
| 0.166667
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.222222
| false
| 0
| 0.111111
| 0.166667
| 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
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 1
| 1
| 0
|
0
| 3
|
22b79c3feb3f8475ac595810daa8294a07d6c2b9
| 625
|
py
|
Python
|
apis/admin.py
|
JumboCode/GroundWorkSomerville
|
280f9cd8ea38f065c9fb113e563a4be362a7e265
|
[
"MIT"
] | null | null | null |
apis/admin.py
|
JumboCode/GroundWorkSomerville
|
280f9cd8ea38f065c9fb113e563a4be362a7e265
|
[
"MIT"
] | null | null | null |
apis/admin.py
|
JumboCode/GroundWorkSomerville
|
280f9cd8ea38f065c9fb113e563a4be362a7e265
|
[
"MIT"
] | 1
|
2021-06-28T22:56:22.000Z
|
2021-06-28T22:56:22.000Z
|
from django.contrib import admin
from django.contrib.auth.models import User
from .models import Vegetable, Harvest, Transaction, Merchandise, MerchandisePrice
from .models import PurchasedItem, UserProfile, VegetablePrice, StockedVegetable
from .models import MerchandisePhotos
admin.site.register(Vegetable)
admin.site.register(StockedVegetable)
admin.site.register(Harvest)
admin.site.register(VegetablePrice)
admin.site.register(PurchasedItem)
admin.site.register(Transaction)
admin.site.register(UserProfile)
admin.site.register(Merchandise)
admin.site.register(MerchandisePrice)
admin.site.register(MerchandisePhotos)
| 36.764706
| 82
| 0.8528
| 71
| 625
| 7.507042
| 0.28169
| 0.168856
| 0.318949
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.0608
| 625
| 16
| 83
| 39.0625
| 0.908007
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.333333
| 0
| 0.333333
| 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
| 0
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
22b997fa793710eae107fad9390bbdd1f1c77572
| 495
|
py
|
Python
|
submissions/available/Johnson-CausalTesting/Holmes/fuzzers/Peach/Transformers/Encode/HTMLDecode.py
|
brittjay0104/rose6icse
|
7b24743b7a805b9ed094b67e4a08bad7894f0e84
|
[
"Unlicense"
] | null | null | null |
submissions/available/Johnson-CausalTesting/Holmes/fuzzers/Peach/Transformers/Encode/HTMLDecode.py
|
brittjay0104/rose6icse
|
7b24743b7a805b9ed094b67e4a08bad7894f0e84
|
[
"Unlicense"
] | null | null | null |
submissions/available/Johnson-CausalTesting/Holmes/fuzzers/Peach/Transformers/Encode/HTMLDecode.py
|
brittjay0104/rose6icse
|
7b24743b7a805b9ed094b67e4a08bad7894f0e84
|
[
"Unlicense"
] | null | null | null |
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import xml.sax.saxutils
from Peach.transformer import Transformer
class HtmlDecode(Transformer):
"""Decode HTML encoded string."""
def realEncode(self, data):
return xml.sax.saxutils.unescape(data)
def realEncode(self, data):
return xml.sax.saxutils.escape(data)
| 29.117647
| 69
| 0.717172
| 76
| 495
| 4.671053
| 0.684211
| 0.050704
| 0.11831
| 0.11831
| 0.230986
| 0.230986
| 0.230986
| 0.230986
| 0
| 0
| 0
| 0.009926
| 0.185859
| 495
| 16
| 70
| 30.9375
| 0.870968
| 0.446465
| 0
| 0.285714
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0.285714
| 0.285714
| 1
| 0
| 0
| 0
| 0
| null | 0
| 0
| 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
| 3
|
22ce1c9c1c8f77ccd4520e195e541c2a19150619
| 268
|
py
|
Python
|
HackerRank/Python/Easy/E0036.py
|
Mohammed-Shoaib/HackerRank-Problems
|
ccfb9fc2f0d8dff454439d75ce519cf83bad7c3b
|
[
"MIT"
] | 54
|
2019-05-13T12:13:09.000Z
|
2022-02-27T02:59:00.000Z
|
HackerRank/Python/Easy/E0036.py
|
Mohammed-Shoaib/HackerRank-Problems
|
ccfb9fc2f0d8dff454439d75ce519cf83bad7c3b
|
[
"MIT"
] | 2
|
2020-10-02T07:16:43.000Z
|
2020-10-19T04:36:19.000Z
|
HackerRank/Python/Easy/E0036.py
|
Mohammed-Shoaib/HackerRank-Problems
|
ccfb9fc2f0d8dff454439d75ce519cf83bad7c3b
|
[
"MIT"
] | 20
|
2020-05-26T09:48:13.000Z
|
2022-03-18T15:18:27.000Z
|
# Problem Statement: https://www.hackerrank.com/challenges/itertools-combinations-with-replacement/problem
from itertools import combinations_with_replacement
S, k = input().split()
for comb in combinations_with_replacement(sorted(S), int(k)):
print(''.join(comb))
| 33.5
| 106
| 0.791045
| 35
| 268
| 5.942857
| 0.685714
| 0.230769
| 0.389423
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.078358
| 268
| 8
| 107
| 33.5
| 0.842105
| 0.38806
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.25
| 0
| 0.25
| 0.25
| 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
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
22fbfb719886ba73384d6d380084bceb6dabf90b
| 2,127
|
py
|
Python
|
Topaz/Core.py
|
Rhodolite/Gem.py.UnitTest
|
eaa8b6855bcfbb12f67e7eb146928814543ef9d4
|
[
"MIT"
] | null | null | null |
Topaz/Core.py
|
Rhodolite/Gem.py.UnitTest
|
eaa8b6855bcfbb12f67e7eb146928814543ef9d4
|
[
"MIT"
] | null | null | null |
Topaz/Core.py
|
Rhodolite/Gem.py.UnitTest
|
eaa8b6855bcfbb12f67e7eb146928814543ef9d4
|
[
"MIT"
] | null | null | null |
#
# Copyright (c) 2017 Joy Diamond. All rights reserved.
#
@gem('Topaz.Core')
def gem():
require_gem('Gem.Global')
from Gem import gem_global
gem_global.testing = true
require_gem('Gem.Cache2')
require_gem('Gem.DumpCache')
require_gem('Gem.GeneratedConjureQuadruple')
require_gem('Gem.Map')
require_gem('Gem.Method')
require_gem('Gem.Path')
require_gem('Gem.System')
from Gem import create_cache, create_herd_2, create_horde_2, dump_cache_to_string, empty_herd
from Gem import print_cache, produce_conjure_by_name__V2
from Gem import produce_conjure_unique_dual, produce_conjure_unique_dual__21
from Gem import produce_conjure_quadruple__4123
from Gem import produce_conjure_unique_triple, produce_conjure_unique_triple__312
from Gem import reference_count, values_tuple_sorted_by_key, write_binary_to_path
share(
#
# Imported functions
#
'create_cache', create_cache,
'create_herd_2', create_herd_2,
'create_horde_2', create_horde_2,
'dump_cache_to_string', dump_cache_to_string,
'print_cache', print_cache,
'produce_conjure_by_name__V2', produce_conjure_by_name__V2,
'produce_conjure_unique_dual__21', produce_conjure_unique_dual__21,
'produce_conjure_unique_dual', produce_conjure_unique_dual,
'produce_conjure_unique_dual', produce_conjure_unique_dual,
'produce_conjure_quadruple__4123', produce_conjure_quadruple__4123,
'produce_conjure_unique_triple__312', produce_conjure_unique_triple__312,
'produce_conjure_unique_triple', produce_conjure_unique_triple,
'reference_count', reference_count,
'values_tuple_sorted_by_key', values_tuple_sorted_by_key,
'write_binary_to_path', write_binary_to_path,
#
# Imported Values
#
'empty_herd', empty_herd,
)
| 35.45
| 97
| 0.661965
| 247
| 2,127
| 5.11336
| 0.234818
| 0.221694
| 0.221694
| 0.152019
| 0.640538
| 0.615202
| 0.511481
| 0.4038
| 0.256532
| 0.087094
| 0
| 0.026503
| 0.272685
| 2,127
| 59
| 98
| 36.050847
| 0.789916
| 0.043253
| 0
| 0.055556
| 0
| 0
| 0.224419
| 0.129016
| 0
| 0
| 0
| 0
| 0
| 1
| 0.027778
| true
| 0
| 0.194444
| 0
| 0.222222
| 0.055556
| 0
| 0
| 0
| null | 1
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
fe05b5a6d987129895e699ef1d4e1c22d1bf1542
| 472
|
py
|
Python
|
enaml/core/byteplay/__init__.py
|
timgates42/enaml
|
054efe6a4047d84f2fff718d656a64a2363884dc
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
enaml/core/byteplay/__init__.py
|
timgates42/enaml
|
054efe6a4047d84f2fff718d656a64a2363884dc
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
enaml/core/byteplay/__init__.py
|
timgates42/enaml
|
054efe6a4047d84f2fff718d656a64a2363884dc
|
[
"BSD-3-Clause-Clear"
] | null | null | null |
#------------------------------------------------------------------------------
# Copyright (c) 2013-2018, Nucleic Development Team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file COPYING.txt, distributed with this software.
#------------------------------------------------------------------------------
from ...compat import USE_WORDCODE
if USE_WORDCODE:
from .wbyteplay import *
else:
from .byteplay3 import *
| 33.714286
| 79
| 0.493644
| 44
| 472
| 5.25
| 0.75
| 0.095238
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.021739
| 0.122881
| 472
| 13
| 80
| 36.307692
| 0.536232
| 0.722458
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.6
| 0
| 0.6
| 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
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
fe0def896199f4c5334b061cf90749e18fdcc0bd
| 223
|
py
|
Python
|
tests/strategies/common/test_cputime.py
|
y-tetsu/othello
|
73eabfe22d6b44bbfa0b436e6287e3e7356620f4
|
[
"MIT"
] | 10
|
2020-07-24T22:04:51.000Z
|
2022-03-25T06:09:48.000Z
|
tests/strategies/common/test_cputime.py
|
y-tetsu/othello
|
73eabfe22d6b44bbfa0b436e6287e3e7356620f4
|
[
"MIT"
] | 12
|
2021-04-30T09:53:18.000Z
|
2022-02-25T04:16:02.000Z
|
tests/strategies/common/test_cputime.py
|
y-tetsu/othello
|
73eabfe22d6b44bbfa0b436e6287e3e7356620f4
|
[
"MIT"
] | 1
|
2021-11-25T13:12:32.000Z
|
2021-11-25T13:12:32.000Z
|
"""Tests of cputime.py
"""
import unittest
from reversi.strategies.common import CPU_TIME
class TestCputime(unittest.TestCase):
"""cputime
"""
def test_cputime(self):
self.assertEqual(CPU_TIME, 0.5)
| 15.928571
| 46
| 0.690583
| 28
| 223
| 5.392857
| 0.75
| 0.092715
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.01105
| 0.188341
| 223
| 13
| 47
| 17.153846
| 0.823204
| 0.143498
| 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
| 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
| 3
|
a3ac7f877a13b1b1d1be58575a8e398e8062fac9
| 190
|
py
|
Python
|
Giraffe/Functions.py
|
MaggieIllustrations/softuni-github-programming
|
f5695cb14602f3d2974359f6d8734332acc650d3
|
[
"MIT"
] | null | null | null |
Giraffe/Functions.py
|
MaggieIllustrations/softuni-github-programming
|
f5695cb14602f3d2974359f6d8734332acc650d3
|
[
"MIT"
] | null | null | null |
Giraffe/Functions.py
|
MaggieIllustrations/softuni-github-programming
|
f5695cb14602f3d2974359f6d8734332acc650d3
|
[
"MIT"
] | 1
|
2022-01-14T17:12:44.000Z
|
2022-01-14T17:12:44.000Z
|
def say_hi(name,age):
print("Hello " + name + ", you are " + age)
say_hi("Mike", "35")
def cube(num): # function
return num*num*num
result = cube(4) # variable
print(result)
| 11.875
| 47
| 0.6
| 29
| 190
| 3.862069
| 0.62069
| 0.089286
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.020408
| 0.226316
| 190
| 15
| 48
| 12.666667
| 0.741497
| 0.089474
| 0
| 0
| 0
| 0
| 0.13253
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.285714
| false
| 0
| 0
| 0.142857
| 0.428571
| 0.285714
| 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
| 0
| 0
|
0
| 3
|
a3b2f8e0ee7fa10fe388b6e668b6e1e8224ddcfe
| 1,531
|
py
|
Python
|
salt/ext/tornado/test/import_test.py
|
yuriks/salt
|
d2a5bd8adddb98ec1718d79384aa13b4f37e8028
|
[
"Apache-2.0",
"MIT"
] | 1
|
2020-03-31T22:51:16.000Z
|
2020-03-31T22:51:16.000Z
|
salt/ext/tornado/test/import_test.py
|
yuriks/salt
|
d2a5bd8adddb98ec1718d79384aa13b4f37e8028
|
[
"Apache-2.0",
"MIT"
] | null | null | null |
salt/ext/tornado/test/import_test.py
|
yuriks/salt
|
d2a5bd8adddb98ec1718d79384aa13b4f37e8028
|
[
"Apache-2.0",
"MIT"
] | 1
|
2021-09-30T07:00:01.000Z
|
2021-09-30T07:00:01.000Z
|
# flake8: noqa
# pylint: skip-file
from __future__ import absolute_import, division, print_function
from salt.ext.tornado.test.util import unittest
class ImportTest(unittest.TestCase):
def test_import_everything(self):
# Some of our modules are not otherwise tested. Import them
# all (unless they have external dependencies) here to at
# least ensure that there are no syntax errors.
import tornado.auth
import tornado.autoreload
import tornado.concurrent
import tornado.escape
import tornado.gen
import tornado.http1connection
import tornado.httpclient
import tornado.httpserver
import tornado.httputil
import tornado.ioloop
import tornado.iostream
import tornado.locale
import tornado.log
import tornado.netutil
import tornado.options
import tornado.process
import tornado.simple_httpclient
import tornado.stack_context
import tornado.tcpserver
import tornado.tcpclient
import tornado.template
import tornado.testing
import tornado.util
import tornado.web
import tornado.websocket
import tornado.wsgi
# for modules with dependencies, if those dependencies can be loaded,
# load them too.
def test_import_pycurl(self):
try:
import pycurl # type: ignore
except ImportError:
pass
else:
import tornado.curl_httpclient
| 31.244898
| 73
| 0.666884
| 168
| 1,531
| 6
| 0.553571
| 0.348214
| 0.025794
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.001842
| 0.29066
| 1,531
| 48
| 74
| 31.895833
| 0.926335
| 0.187459
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.054054
| false
| 0.027027
| 0.918919
| 0
| 1
| 0.027027
| 0
| 0
| 0
| null | 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
a3c4634520b2ba72e01bed684e08b442a5657f9b
| 385
|
py
|
Python
|
jiminy/envs/vnc_wog.py
|
sibeshkar/jiminy
|
7754f86fb0f246e7d039ea0cbfd9950fcae4adfb
|
[
"MIT"
] | 3
|
2020-03-16T13:50:40.000Z
|
2021-06-09T05:26:13.000Z
|
jiminy/envs/vnc_wog.py
|
sibeshkar/jiminy
|
7754f86fb0f246e7d039ea0cbfd9950fcae4adfb
|
[
"MIT"
] | null | null | null |
jiminy/envs/vnc_wog.py
|
sibeshkar/jiminy
|
7754f86fb0f246e7d039ea0cbfd9950fcae4adfb
|
[
"MIT"
] | null | null | null |
from jiminy.envs import vnc_env
from jiminy.spaces import VNCActionSpace
class WorldOfGooEnv(vnc_env.VNCEnv):
def __init__(self):
super(WorldOfGooEnv, self).__init__()
# TODO: set action space screen shape to match
# HACK: empty keys list fails for some weird reason, give it an 'a'
self.action_space = VNCActionSpace(keys=['a'], buttonmasks=[1])
| 35
| 75
| 0.703896
| 52
| 385
| 5
| 0.730769
| 0.076923
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.003268
| 0.205195
| 385
| 10
| 76
| 38.5
| 0.846405
| 0.285714
| 0
| 0
| 0
| 0
| 0.003676
| 0
| 0
| 0
| 0
| 0.1
| 0
| 1
| 0.166667
| false
| 0
| 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
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 1
| 0
|
0
| 3
|
a3d6f97d9d98a31dc4f2829ae746920be2ea8e17
| 4,902
|
py
|
Python
|
pysnmp-with-texts/CXConsoleDriver-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 8
|
2019-05-09T17:04:00.000Z
|
2021-06-09T06:50:51.000Z
|
pysnmp-with-texts/CXConsoleDriver-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 4
|
2019-05-31T16:42:59.000Z
|
2020-01-31T21:57:17.000Z
|
pysnmp-with-texts/CXConsoleDriver-MIB.py
|
agustinhenze/mibs.snmplabs.com
|
1fc5c07860542b89212f4c8ab807057d9a9206c7
|
[
"Apache-2.0"
] | 10
|
2019-04-30T05:51:36.000Z
|
2022-02-16T03:33:41.000Z
|
#
# PySNMP MIB module CXConsoleDriver-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/CXConsoleDriver-MIB
# Produced by pysmi-0.3.4 at Wed May 1 12:32:28 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2019, 09:23:15)
#
Integer, OctetString, ObjectIdentifier = mibBuilder.importSymbols("ASN1", "Integer", "OctetString", "ObjectIdentifier")
NamedValues, = mibBuilder.importSymbols("ASN1-ENUMERATION", "NamedValues")
ValueSizeConstraint, ValueRangeConstraint, SingleValueConstraint, ConstraintsIntersection, ConstraintsUnion = mibBuilder.importSymbols("ASN1-REFINEMENT", "ValueSizeConstraint", "ValueRangeConstraint", "SingleValueConstraint", "ConstraintsIntersection", "ConstraintsUnion")
cxConsoleDriver, = mibBuilder.importSymbols("CXProduct-SMI", "cxConsoleDriver")
NotificationGroup, ModuleCompliance = mibBuilder.importSymbols("SNMPv2-CONF", "NotificationGroup", "ModuleCompliance")
Counter64, Gauge32, TimeTicks, MibScalar, MibTable, MibTableRow, MibTableColumn, IpAddress, Unsigned32, Integer32, ModuleIdentity, NotificationType, ObjectIdentity, MibIdentifier, Counter32, iso, Bits = mibBuilder.importSymbols("SNMPv2-SMI", "Counter64", "Gauge32", "TimeTicks", "MibScalar", "MibTable", "MibTableRow", "MibTableColumn", "IpAddress", "Unsigned32", "Integer32", "ModuleIdentity", "NotificationType", "ObjectIdentity", "MibIdentifier", "Counter32", "iso", "Bits")
TextualConvention, DisplayString = mibBuilder.importSymbols("SNMPv2-TC", "TextualConvention", "DisplayString")
cxCdBaudRate = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 6, 1), Integer32().clone(9600)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxCdBaudRate.setStatus('mandatory')
if mibBuilder.loadTexts: cxCdBaudRate.setDescription('Determines the baud rate of the console port. The setting of this object is dynamic. The console port immediately implements the option you enter. Options: 9600 19200 38400 115200 Default Value: 9600 Configuration Changed: operative')
cxCdCharSize = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 6, 2), Integer32().subtype(subtypeSpec=ValueRangeConstraint(7, 8)).clone(8)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxCdCharSize.setStatus('mandatory')
if mibBuilder.loadTexts: cxCdCharSize.setDescription('Determines how many bits constitute a character for the console port. Options: none - the value is fixed at 8 Default Value: 8 Configuration Changed: none ')
cxCdParity = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 6, 3), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2, 3))).clone(namedValues=NamedValues(("noParity", 1), ("evenParity", 2), ("oddParity", 3))).clone('noParity')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxCdParity.setStatus('mandatory')
if mibBuilder.loadTexts: cxCdParity.setDescription('Determines the parity scheme the CPU uses to validate the characters it receives through the console port. Options: none - the value is fixed at noParity Default Value: noParity Configuration Changed: none ')
cxCdStopBit = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 6, 4), Integer32().subtype(subtypeSpec=ValueRangeConstraint(1, 2)).clone(1)).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxCdStopBit.setStatus('mandatory')
if mibBuilder.loadTexts: cxCdStopBit.setDescription('Determines how many stop bits are at the end of each character the console port receives. Options: none - the value is fixed at 1 Default Value: 1 Configuration Changed: none ')
cxCdProtocol = MibScalar((1, 3, 6, 1, 4, 1, 495, 2, 1, 5, 6, 5), Integer32().subtype(subtypeSpec=ConstraintsUnion(SingleValueConstraint(1, 2))).clone(namedValues=NamedValues(("localConsole", 1), ("ppp", 2))).clone('localConsole')).setMaxAccess("readwrite")
if mibBuilder.loadTexts: cxCdProtocol.setStatus('mandatory')
if mibBuilder.loadTexts: cxCdProtocol.setDescription('Determines the protocol (configuration method) for the console port. The setting of this object is dynamic. The console port immediately implements the option you enter. However, if you change the protocol you are currently using to configure the port your connection will be lost. Options: localConsole (1): you use this protocol when you attach a TTY terminal directly to the console port. This protocol requires you to use command line configuration. You also must enter a password to gain access to the configuration tables. You can define the password using the object uiPassword of the CXUserInterface Table. ppp (2): you use this protocol when you are configuring via a windows-based application such as HP/OV (Hewlett Packard-OpenView). Default Value: ppp (2) Configuration Changed: operative')
mibBuilder.exportSymbols("CXConsoleDriver-MIB", cxCdParity=cxCdParity, cxCdProtocol=cxCdProtocol, cxCdBaudRate=cxCdBaudRate, cxCdStopBit=cxCdStopBit, cxCdCharSize=cxCdCharSize)
| 158.129032
| 856
| 0.786006
| 602
| 4,902
| 6.400332
| 0.337209
| 0.031145
| 0.054503
| 0.015572
| 0.39891
| 0.242409
| 0.229432
| 0.187906
| 0.187906
| 0.187906
| 0
| 0.045104
| 0.099959
| 4,902
| 30
| 857
| 163.4
| 0.828196
| 0.067727
| 0
| 0
| 0
| 0.217391
| 0.483885
| 0.009647
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0.043478
| 0.304348
| 0
| 0.304348
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
a3dff7c9e786003c054a9ad079320e1b77c72f5f
| 439
|
py
|
Python
|
Main/migrations/0072_auto_20210506_0016.py
|
Muhammet-Yildiz/Ecommerce_Website-HepsiOrada
|
91935014ccc37e0ea57c8cbd2c4891941dcbb917
|
[
"MIT"
] | 10
|
2021-06-01T19:30:00.000Z
|
2021-06-28T16:16:20.000Z
|
Main/migrations/0072_auto_20210506_0016.py
|
Muhammet-Yildiz/HepsiOrada
|
91935014ccc37e0ea57c8cbd2c4891941dcbb917
|
[
"MIT"
] | null | null | null |
Main/migrations/0072_auto_20210506_0016.py
|
Muhammet-Yildiz/HepsiOrada
|
91935014ccc37e0ea57c8cbd2c4891941dcbb917
|
[
"MIT"
] | null | null | null |
# Generated by Django 3.1.4 on 2021-05-05 21:16
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('Main', '0071_auto_20210506_0004'),
]
operations = [
migrations.RemoveField(
model_name='product',
name='chooseColor',
),
migrations.RemoveField(
model_name='product',
name='chooseSize',
),
]
| 19.954545
| 47
| 0.567198
| 42
| 439
| 5.809524
| 0.714286
| 0.172131
| 0.213115
| 0.245902
| 0.336066
| 0.336066
| 0
| 0
| 0
| 0
| 0
| 0.104027
| 0.321185
| 439
| 21
| 48
| 20.904762
| 0.714765
| 0.102506
| 0
| 0.4
| 1
| 0
| 0.158163
| 0.058673
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0.066667
| 0
| 0.266667
| 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
| 1
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
a3ee75515f2face15871213c79bd272768d90d2f
| 231
|
py
|
Python
|
src/models.py
|
jonathanlloyd/scratchstack-httpserver
|
72f9bb5b1673b132786d94c017dbf2d370886b79
|
[
"MIT"
] | null | null | null |
src/models.py
|
jonathanlloyd/scratchstack-httpserver
|
72f9bb5b1673b132786d94c017dbf2d370886b79
|
[
"MIT"
] | null | null | null |
src/models.py
|
jonathanlloyd/scratchstack-httpserver
|
72f9bb5b1673b132786d94c017dbf2d370886b79
|
[
"MIT"
] | null | null | null |
from dataclasses import dataclass
@dataclass
class Request:
method: str
path: str
headers: dict
body: bytes
@dataclass
class Response:
status_code: int
reason_phrase: str
headers: dict
body: bytes
| 14.4375
| 33
| 0.688312
| 28
| 231
| 5.607143
| 0.678571
| 0.178344
| 0.178344
| 0.229299
| 0.292994
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.25974
| 231
| 15
| 34
| 15.4
| 0.918129
| 0
| 0
| 0.461538
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| true
| 0
| 0.076923
| 0
| 0.846154
| 0
| 1
| 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
| 0
| 1
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
a3f0553d759d16377520becb3fec3c845edf0c9f
| 464
|
py
|
Python
|
src/affinity-propagation/generate_data.py
|
dominc8/affinity-propagation
|
b91b18b52eb68a7eafaadf0ceac39fe10955dcf2
|
[
"MIT"
] | 1
|
2020-10-22T18:11:53.000Z
|
2020-10-22T18:11:53.000Z
|
src/affinity-propagation/generate_data.py
|
dominc8/affinity-propagation
|
b91b18b52eb68a7eafaadf0ceac39fe10955dcf2
|
[
"MIT"
] | null | null | null |
src/affinity-propagation/generate_data.py
|
dominc8/affinity-propagation
|
b91b18b52eb68a7eafaadf0ceac39fe10955dcf2
|
[
"MIT"
] | null | null | null |
from config import DataGeneratorCfg
from sklearn.datasets.samples_generator import make_blobs
import numpy as np
def generate():
data, true_labels = make_blobs(n_samples=DataGeneratorCfg.n_samples, centers=DataGeneratorCfg.centers, cluster_std=DataGeneratorCfg.cluster_std, random_state=DataGeneratorCfg.random_state)
print("Generating new data!")
np.savetxt("data/data.txt", data)
np.savetxt("data/true_labels.txt", true_labels)
return data
| 38.666667
| 192
| 0.799569
| 61
| 464
| 5.885246
| 0.491803
| 0.083565
| 0.077994
| 0.094708
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.112069
| 464
| 11
| 193
| 42.181818
| 0.871359
| 0
| 0
| 0
| 1
| 0
| 0.114471
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.111111
| true
| 0
| 0.333333
| 0
| 0.555556
| 0.111111
| 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
| 1
| 0
| 1
| 0
| 0
| 0
|
0
| 3
|
a3f8263738f1248425bd621ee69178be5e83cbe4
| 19
|
py
|
Python
|
pymclevel/test/__init__.py
|
bennettdc/MCEdit-Unified
|
90abfb170c65b877ac67193e717fa3a3ded635dd
|
[
"0BSD"
] | 673
|
2015-01-02T02:08:13.000Z
|
2022-03-24T19:38:14.000Z
|
pymclevel/test/__init__.py
|
bennettdc/MCEdit-Unified
|
90abfb170c65b877ac67193e717fa3a3ded635dd
|
[
"0BSD"
] | 551
|
2015-01-01T02:36:53.000Z
|
2018-02-01T00:03:12.000Z
|
pymclevel/test/__init__.py
|
bennettdc/MCEdit-Unified
|
90abfb170c65b877ac67193e717fa3a3ded635dd
|
[
"0BSD"
] | 231
|
2015-01-01T16:47:30.000Z
|
2022-03-31T21:51:55.000Z
|
__author__ = 'Rio'
| 9.5
| 18
| 0.684211
| 2
| 19
| 4.5
| 1
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 19
| 1
| 19
| 19
| 0.5625
| 0
| 0
| 0
| 0
| 0
| 0.157895
| 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
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| null | 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0
|
0
| 3
|
a3fcd7848a2f35d426c874d1ab768f72fe615409
| 1,563
|
py
|
Python
|
bst.py
|
phildavis17/DS_A
|
2d950a62b1ea36dff5dcd2c17266ddf088719472
|
[
"MIT"
] | null | null | null |
bst.py
|
phildavis17/DS_A
|
2d950a62b1ea36dff5dcd2c17266ddf088719472
|
[
"MIT"
] | null | null | null |
bst.py
|
phildavis17/DS_A
|
2d950a62b1ea36dff5dcd2c17266ddf088719472
|
[
"MIT"
] | null | null | null |
class BSTNode:
def __init__(self, data = None) -> None:
self.data = data
self.left = None
self.right = None
def __repr__(self) -> str:
return(f"BSTNode({self.data})")
def __str__(self) -> str:
return str(self.data)
def __eq__(self, o: object) -> bool:
pass
def __hash__(self) -> int:
pass
class BST:
def __init__(self) -> None:
pass
def insert(self, item: int) -> None:
pass
def remove(self, item: int) -> int:
pass
def swap_nodes(self, item_a: int, item_b: int) -> None:
pass
def rebalance(self) -> None:
pass
def get_min_value(self) -> int:
pass
def get_max_value(self) -> int:
pass
def clear(self) -> None:
pass
def get_dept(self) -> int:
"""Returns the current depth of the tree."""
pass
def is_bst(self) -> bool:
"""Returns True if the tree is properly configured bst."""
pass
def is_balanced(self) -> bool:
"""
Returns True if the tree is balanced
"""
pass
def is_perfect(self) -> bool:
"""
Returns True if the tree is perfect
"""
pass
def in_order(self):
"""Returns an iterable of the nodes in the tree."""
pass
def pre_order(self):
"""Returns an iterable of the nodes in the tree."""
pass
def post_order(self):
"""Returns an iterable of the nodes in the tree."""
pass
| 20.565789
| 66
| 0.525912
| 199
| 1,563
| 3.939698
| 0.271357
| 0.133929
| 0.070153
| 0.057398
| 0.404337
| 0.309949
| 0.309949
| 0.309949
| 0.195153
| 0.195153
| 0
| 0
| 0.363404
| 1,563
| 75
| 67
| 20.84
| 0.78794
| 0.193218
| 0
| 0.386364
| 0
| 0
| 0.016821
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0.454545
| false
| 0.386364
| 0
| 0.045455
| 0.522727
| 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
| 0
| 1
| 0
|
0
| 3
|
4307e6cee1e0a5d05e36c874e743174e0b006360
| 354
|
py
|
Python
|
001146StepikPyBegin/Stepik001146PyBeginсh02p05st15C09_20200411.py
|
SafonovMikhail/python_000577
|
739f764e80f1ca354386f00b8e9db1df8c96531d
|
[
"Apache-2.0"
] | null | null | null |
001146StepikPyBegin/Stepik001146PyBeginсh02p05st15C09_20200411.py
|
SafonovMikhail/python_000577
|
739f764e80f1ca354386f00b8e9db1df8c96531d
|
[
"Apache-2.0"
] | null | null | null |
001146StepikPyBegin/Stepik001146PyBeginсh02p05st15C09_20200411.py
|
SafonovMikhail/python_000577
|
739f764e80f1ca354386f00b8e9db1df8c96531d
|
[
"Apache-2.0"
] | null | null | null |
num = int(input())
d1 = (num % 10 ** 4) // 10 ** 3
d2 = (num % 10 ** 3) // 10 ** 2
d3 = (num % 10 ** 2) // 10
d4 = num % 10
print("Цифра в позиции тысяч равна", d1)
print("Цифра в позиции сотен равна", d2)
print("Цифра в позиции десятков равна", d3)
print("Цифра в позиции единиц равна", d4)
# print("Python", , "is the best")
_quit = 1
print(_quit * 2)
| 27.230769
| 43
| 0.596045
| 61
| 354
| 3.42623
| 0.42623
| 0.095694
| 0.210526
| 0.344498
| 0
| 0
| 0
| 0
| 0
| 0
| 0
| 0.103943
| 0.211864
| 354
| 12
| 44
| 29.5
| 0.645161
| 0.090395
| 0
| 0
| 0
| 0
| 0.35
| 0
| 0
| 0
| 0
| 0
| 0
| 1
| 0
| false
| 0
| 0
| 0
| 0
| 0.454545
| 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
| 0
| 0
| 0
| 1
|
0
| 3
|
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