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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
8744bb3e64b04286013f99155a9d8703df12a0a6 | 8,798 | py | Python | core/api/tests/test_unit_views.py | divinedeveloper/mini-quora | 4465937c2a3cd35387f75f04b9e705a8504d9dab | [
"Apache-2.0"
] | null | null | null | core/api/tests/test_unit_views.py | divinedeveloper/mini-quora | 4465937c2a3cd35387f75f04b9e705a8504d9dab | [
"Apache-2.0"
] | null | null | null | core/api/tests/test_unit_views.py | divinedeveloper/mini-quora | 4465937c2a3cd35387f75f04b9e705a8504d9dab | [
"Apache-2.0"
] | null | null | null | from rest_framework.test import APIRequestFactory, APIClient
from rest_framework import status
from django.conf import settings
from core.api.models import User, Question, Answer, Tenant
from core.api.custom_exceptions import CustomApiException
from core.api.services import Services
from core.api.serializers import UserSerializer, QuestionSerializer, AnswerSerializer, TenantSerializer
from core.api.views import search_questions, dashboard, tenants_dashboard
from django.core.urlresolvers import reverse
from django.db.models import Q
import pytest
from pytest_mock import mocker
from django.core.management import call_command
import json
# Create your tests here.
@pytest.mark.unittest
class TestUnitViews:
def setup_method(self):
"""
Get instance of APIRequestFactory
To mock request object which will be directly passed to
views as a first argument
"""
self.request_factory = APIRequestFactory()
self.search_questions_api_url = reverse("search_questions")
self.dashboard_api_url = reverse("dashboard")
self.tenants_dashboard_api_url = reverse("tenants_dashboard")
def test_unit_search_questions_blank_title(self, db, django_db_setup, mocker):
"""
This method will tests search questions in views
assert status is 200 and data is returned as per request
"""
params = {'title': '', 'offset': '0', 'limit' : '10'}
request = self.request_factory.get(self.search_questions_api_url, params, HTTP_API_KEY = "6e762d97-2d46-48cc-99b6-58cc0942d514")
mocker.patch.object(Services, 'service_search_questions')
mocked_serializer = mocker.patch('core.api.serializers.QuestionSerializer')
questions = Question.objects.filter(private = False)[params['offset']:params['limit']]
count = Question.objects.filter(private = False).count()
Services.service_search_questions.return_value = questions, count
response = search_questions(request)
Services.service_search_questions.assert_called_with(params['title'], params['offset'], params['limit'])
mocked_serialize_response = mocked_serializer(questions)
mocked_serializer.assert_called_with(questions)
question_serializer = QuestionSerializer(questions, many=True)
json_response = json.loads(response.content)
assert response.status_code == status.HTTP_200_OK
assert json_response['count'] == count
assert json_response['questions'] != None
assert json_response['questions'] == question_serializer.data
def test_unit_search_questions_with_title(self, db, django_db_setup, mocker):
"""
This method will tests search questions in views
assert status is 200 and questions are returned
"""
params = {'title': 'Sapiente', 'offset': '0', 'limit' : '10'}
request = self.request_factory.get(self.search_questions_api_url, params, HTTP_API_KEY = "6e762d97-2d46-48cc-99b6-58cc0942d514")
mocker.patch.object(Services, 'service_search_questions')
mocked_serializer = mocker.patch('core.api.serializers.QuestionSerializer')
questions = Question.objects.filter(Q(private = False) & Q(title__icontains = params['title']))[params['offset']:params['limit']]
count = Question.objects.filter(Q(private = False) & Q(title__icontains = params['title'])).count()
Services.service_search_questions.return_value = questions, count
response = search_questions(request)
Services.service_search_questions.assert_called_with(params['title'], params['offset'], params['limit'])
mocked_serialize_response = mocked_serializer(questions)
mocked_serializer.assert_called_with(questions)
json_response = json.loads(response.content)
question_serializer = QuestionSerializer(questions, many=True)
assert response.status_code == status.HTTP_200_OK
assert json_response['count'] == count
assert json_response['questions'] != None
assert json_response['questions'] == question_serializer.data
def test_unit_questions_not_found(self, db, django_db_setup, mocker):
"""
This method will tests search questions in views
assert status is 404 and questions not found message is returned
"""
params = {'title': 'myquestion', 'offset': '0', 'limit' : '10'}
request = self.request_factory.get(self.search_questions_api_url, params, HTTP_API_KEY = "6e762d97-2d46-48cc-99b6-58cc0942d514")
mock_service_search_questions = mocker.patch.object(Services, 'service_search_questions')
mock_service_search_questions.side_effect = CustomApiException("Questions not found based on criteria", status.HTTP_404_NOT_FOUND)
response = search_questions(request)
Services.service_search_questions.assert_called_with(params['title'], params['offset'], params['limit'])
json_response = json.loads(response.content)
assert response.status_code == status.HTTP_404_NOT_FOUND
assert json_response['message'] == "Questions not found based on criteria"
def test_unit_dashboard_with_non_zero_counts(self, db, django_db_setup, mocker):
"""
This method will tests dashboard in views
assert status is 200 and counts are returned
"""
request = self.request_factory.get(self.dashboard_api_url)
mocker.patch.object(Services, 'service_dashboard')
user_count = User.objects.count()
question_count = Question.objects.count()
answer_count = Answer.objects.count()
Services.service_dashboard.return_value = user_count, question_count, answer_count
response = dashboard(request)
json_response = json.loads(response.content)
assert Services.service_dashboard.called
assert response.status_code == status.HTTP_200_OK
assert json_response['user_count'] == user_count
assert json_response['question_count'] == question_count
assert json_response['answer_count'] == answer_count
def test_unit_dashboard_with_zero_counts_on_blank_db(self, mocker):
"""
This method will tests dashboard in views
assert status is 200 and all 0 counts are returned
"""
request = self.request_factory.get(self.dashboard_api_url)
mocker.patch.object(Services, 'service_dashboard')
user_count = 0
question_count = 0
answer_count = 0
Services.service_dashboard.return_value = user_count, question_count, answer_count
response = dashboard(request)
json_response = json.loads(response.content)
assert Services.service_dashboard.called
assert response.status_code == status.HTTP_200_OK
assert json_response['user_count'] == user_count
assert json_response['question_count'] == question_count
assert json_response['answer_count'] == answer_count
def test_unit_tenants_dashboard(self, db, django_db_setup, mocker):
"""
This method will tests tenants dashboard in views
assert status is 200 and tenants with counts are returned
"""
params = {'offset': '0', 'limit' : '10'}
request = self.request_factory.get(self.tenants_dashboard_api_url, params)
mocker.patch.object(Services, 'service_tenants_dashboard')
mocked_serializer = mocker.patch('core.api.serializers.TenantSerializer')
tenants = Tenant.objects.all()[params['offset']:params['limit']]
tenants_count = Tenant.objects.count()
Services.service_tenants_dashboard.return_value = tenants, tenants_count
response = tenants_dashboard(request)
Services.service_tenants_dashboard.assert_called_with(params['offset'], params['limit'])
mocked_serialize_response = mocked_serializer(tenants)
mocked_serializer.assert_called_with(tenants)
tenants_serializer = TenantSerializer(tenants, many=True)
json_response = json.loads(response.content)
assert response.status_code == status.HTTP_200_OK
assert json_response['count'] == tenants_count
assert json_response['tenants'] != None
assert json_response['tenants'] == tenants_serializer.data
def test_unit_tenants_dashboard_on_blank_db(self, mocker):
"""
This method will tests dashboard in views
assert status is 200 and counts are returned
"""
params = {'offset': '0', 'limit' : '10'}
request = self.request_factory.get(self.tenants_dashboard_api_url, params)
mocker.patch.object(Services, 'service_tenants_dashboard')
mocked_serializer = mocker.patch('core.api.serializers.TenantSerializer')
tenants = []
tenants_count = 0
Services.service_tenants_dashboard.return_value = tenants, tenants_count
response = tenants_dashboard(request)
Services.service_tenants_dashboard.assert_called_with(params['offset'], params['limit'])
mocked_serialize_response = mocked_serializer(tenants)
mocked_serializer.assert_called_with(tenants)
tenants_serializer = TenantSerializer(tenants, many=True)
json_response = json.loads(response.content)
assert response.status_code == status.HTTP_200_OK
assert json_response['count'] == tenants_count
assert json_response['tenants'] == []
def teardown_method(self):
self.request_factory = None
self.search_questions_api_url = None
self.dashboard_api_url = None
self.tenants_dashboard_api_url = None
| 40.173516 | 132 | 0.78211 | 1,126 | 8,798 | 5.854352 | 0.120782 | 0.056887 | 0.04915 | 0.036408 | 0.781098 | 0.73665 | 0.706614 | 0.699484 | 0.682342 | 0.682342 | 0 | 0.017275 | 0.118322 | 8,798 | 218 | 133 | 40.357798 | 0.832538 | 0.094681 | 0 | 0.577778 | 0 | 0 | 0.115042 | 0.048613 | 0 | 0 | 0 | 0 | 0.266667 | 1 | 0.066667 | false | 0 | 0.103704 | 0 | 0.177778 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8758d143964928aa668be5d70ffddfee8938cfe8 | 1,166 | py | Python | setup.py | acheamponge/ninsiiah | c7f7664f1a3831180ceda1f3befc9d5199f7c169 | [
"MIT"
] | 1 | 2019-07-04T15:00:23.000Z | 2019-07-04T15:00:23.000Z | setup.py | acheamponge/ninsiiah | c7f7664f1a3831180ceda1f3befc9d5199f7c169 | [
"MIT"
] | null | null | null | setup.py | acheamponge/ninsiiah | c7f7664f1a3831180ceda1f3befc9d5199f7c169 | [
"MIT"
] | 1 | 2020-09-18T21:13:58.000Z | 2020-09-18T21:13:58.000Z | import io
import os
import re
from setuptools import find_packages
from setuptools import setup
def read(filename):
filename = os.path.join(os.path.dirname(__file__), filename)
text_type = type(u"")
with io.open(filename, mode="r", encoding='utf-8') as fd:
return re.sub(text_type(r':[a-z]+:`~?(.*?)`'), text_type(r'``\1``'), fd.read())
setup(
name="mooc",
version="0.0.1",
url="https://github.com/acheamponge/mooc",
license='MIT',
author="Emmanuel Acheampong",
author_email="achampion.emma@gmail.com",
description="This is a python package for helping the online learning community.",
long_description=read("README.rst"),
packages=find_packages(exclude=('tests',)),
install_requires=[],
classifiers=[
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
],
)
| 27.116279 | 87 | 0.623499 | 141 | 1,166 | 5.070922 | 0.553191 | 0.212587 | 0.27972 | 0.181818 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018478 | 0.210978 | 1,166 | 42 | 88 | 27.761905 | 0.758696 | 0 | 0 | 0 | 0 | 0 | 0.41681 | 0.020583 | 0 | 0 | 0 | 0 | 0 | 1 | 0.03125 | false | 0 | 0.15625 | 0 | 0.21875 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
875bff5c89e6b3148b510280dc4930b871207258 | 1,295 | py | Python | test/test_edit_api.py | Cloudmersive/Cloudmersive.APIClient.Python.ImageRecognition | 280666acc0b34d905ff54fe2aaec1768a0a3d0e7 | [
"Apache-2.0"
] | 1 | 2018-06-24T01:33:50.000Z | 2018-06-24T01:33:50.000Z | test/test_edit_api.py | Cloudmersive/Cloudmersive.APIClient.Python.ImageRecognition | 280666acc0b34d905ff54fe2aaec1768a0a3d0e7 | [
"Apache-2.0"
] | null | null | null | test/test_edit_api.py | Cloudmersive/Cloudmersive.APIClient.Python.ImageRecognition | 280666acc0b34d905ff54fe2aaec1768a0a3d0e7 | [
"Apache-2.0"
] | null | null | null | # coding: utf-8
"""
imageapi
Image Recognition and Processing APIs let you use Machine Learning to recognize and process images, and also perform useful image modification operations. # noqa: E501
OpenAPI spec version: v1
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
from __future__ import absolute_import
import unittest
import cloudmersive_image_api_client
from cloudmersive_image_api_client.api.edit_api import EditApi # noqa: E501
from cloudmersive_image_api_client.rest import ApiException
class TestEditApi(unittest.TestCase):
"""EditApi unit test stubs"""
def setUp(self):
self.api = cloudmersive_image_api_client.api.edit_api.EditApi() # noqa: E501
def tearDown(self):
pass
def test_edit_composite_basic(self):
"""Test case for edit_composite_basic
Composite two images together # noqa: E501
"""
pass
def test_edit_draw_rectangle(self):
"""Test case for edit_draw_rectangle
Draw rectangle onto an image # noqa: E501
"""
pass
def test_edit_draw_text(self):
"""Test case for edit_draw_text
Draw text onto an image # noqa: E501
"""
pass
if __name__ == '__main__':
unittest.main()
| 23.125 | 172 | 0.685714 | 165 | 1,295 | 5.127273 | 0.448485 | 0.056738 | 0.094563 | 0.122931 | 0.306147 | 0.243499 | 0.148936 | 0 | 0 | 0 | 0 | 0.020346 | 0.240927 | 1,295 | 55 | 173 | 23.545455 | 0.840285 | 0.430116 | 0 | 0.222222 | 0 | 0 | 0.012559 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.277778 | false | 0.222222 | 0.277778 | 0 | 0.611111 | 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 |
876816723e59820da15f88025d9b428f00d9e81c | 9,374 | py | Python | hybridbackend/tensorflow/data/parquet_dataset_ragged_test.py | alibaba/HybridBackend | 498f74038fbc3be4ab1de6a8c3c2ef99f39af5e3 | [
"Apache-2.0"
] | 38 | 2021-12-01T06:54:36.000Z | 2022-03-23T11:23:21.000Z | hybridbackend/tensorflow/data/parquet_dataset_ragged_test.py | alibaba/HybridBackend | 498f74038fbc3be4ab1de6a8c3c2ef99f39af5e3 | [
"Apache-2.0"
] | 15 | 2021-12-01T09:15:26.000Z | 2022-03-28T02:49:21.000Z | hybridbackend/tensorflow/data/parquet_dataset_ragged_test.py | alibaba/HybridBackend | 498f74038fbc3be4ab1de6a8c3c2ef99f39af5e3 | [
"Apache-2.0"
] | 8 | 2021-12-02T01:16:14.000Z | 2022-01-28T04:51:16.000Z | # Copyright 2021 Alibaba Group Holding Limited. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# =============================================================================
r'''Parquet batch dataset ragged tensors test.
'''
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import os
import pandas as pd
from six.moves import xrange # pylint: disable=redefined-builtin
import tempfile
import tensorflow as tf
import hybridbackend.tensorflow as hb
import hybridbackend.test as hbtest
import unittest
# pylint: disable=missing-docstring
class ParquetDatasetRaggedTest(unittest.TestCase):
def setUp(self): # pylint: disable=invalid-name
os.environ['CUDA_VISIBLE_DEVICES'] = ''
self._workspace = tempfile.mkdtemp()
self._filename = os.path.join(self._workspace, 'ragged_test.parquet')
num_cols = 3
self._df = pd.DataFrame(
np.array([
[
np.random.randint(
0, 100,
size=(np.random.randint(1, 5),),
dtype=np.int64)
for _ in xrange(num_cols)]
for _ in xrange(100)], dtype=object),
columns=[f'col{c}' for c in xrange(num_cols)])
self._df.to_parquet(self._filename)
def tearDown(self): # pylint: disable=invalid-name
os.remove(self._filename)
del os.environ['CUDA_VISIBLE_DEVICES']
def test_read(self):
batch_size = 32
with tf.Graph().as_default() as graph:
ds = hb.data.ParquetDataset(
[self._filename],
batch_size=batch_size,
fields=['col2', 'col0'])
ds = ds.prefetch(4)
batch = hb.data.make_one_shot_iterator(ds).get_next()
c = self._df['col0']
with tf.Session(graph=graph) as sess:
for i in xrange(3):
result = sess.run(batch)
start_row = i * batch_size
end_row = (i + 1) * batch_size
expected_items = c[start_row:end_row].to_numpy().tolist()
expected_values = []
expected_splits = [0]
for item in expected_items:
expected_values.extend(item)
expected_splits.append(expected_splits[-1] + len(item))
expected = hb.data.DataFrame.Value(
np.array(expected_values),
[np.array(expected_splits, dtype=np.int32)])
actual = result['col0']
np.testing.assert_allclose(actual.values, expected.values)
np.testing.assert_equal(
actual.nested_row_splits, expected.nested_row_splits)
def test_to_sparse(self):
batch_size = 32
with tf.Graph().as_default() as graph:
ds = hb.data.ParquetDataset(
[self._filename],
batch_size=batch_size,
fields=['col2', 'col0'])
ds = ds.prefetch(4)
batch = hb.data.make_one_shot_iterator(ds).get_next()
batch = hb.data.DataFrame.to_sparse(batch)
c = self._df['col0']
with tf.Session(graph=graph) as sess:
for i in xrange(3):
result = sess.run(batch)
start_row = i * batch_size
end_row = (i + 1) * batch_size
expected_items = c[start_row:end_row].to_numpy().tolist()
expected_values = []
expected_splits = [0]
for item in expected_items:
expected_values.extend(item)
expected_splits.append(expected_splits[-1] + len(item))
expected = hb.data.DataFrame.Value(
np.array(expected_values),
[np.array(expected_splits, dtype=np.int32)])
actual = result['col0']
np.testing.assert_allclose(actual.values, expected.values)
np.testing.assert_equal(
len(set(list(zip(*actual.indices))[0])) + 1,
len(expected.nested_row_splits[0]))
def test_map_to_sparse(self):
batch_size = 32
with tf.Graph().as_default() as graph:
ds = hb.data.ParquetDataset(
[self._filename],
batch_size=batch_size,
fields=['col2', 'col0'])
ds = ds.map(hb.data.DataFrame.to_sparse)
ds = ds.prefetch(4)
batch = hb.data.make_one_shot_iterator(ds).get_next()
c = self._df['col0']
with tf.Session(graph=graph) as sess:
for i in xrange(3):
result = sess.run(batch)
start_row = i * batch_size
end_row = (i + 1) * batch_size
expected_items = c[start_row:end_row].to_numpy().tolist()
expected_values = []
expected_splits = [0]
for item in expected_items:
expected_values.extend(item)
expected_splits.append(expected_splits[-1] + len(item))
expected = hb.data.DataFrame.Value(
np.array(expected_values),
[np.array(expected_splits, dtype=np.int32)])
actual = result['col0']
np.testing.assert_allclose(actual.values, expected.values)
np.testing.assert_equal(
len(set(list(zip(*actual.indices))[0])) + 1,
len(expected.nested_row_splits[0]))
def test_apply_to_sparse(self):
batch_size = 32
with tf.Graph().as_default() as graph:
ds = hb.data.ParquetDataset(
[self._filename],
batch_size=batch_size,
fields=['col2', 'col0'])
ds = ds.apply(hb.data.to_sparse())
ds = ds.prefetch(4)
batch = hb.data.make_one_shot_iterator(ds).get_next()
c = self._df['col0']
with tf.Session(graph=graph) as sess:
for i in xrange(3):
result = sess.run(batch)
start_row = i * batch_size
end_row = (i + 1) * batch_size
expected_items = c[start_row:end_row].to_numpy().tolist()
expected_values = []
expected_splits = [0]
for item in expected_items:
expected_values.extend(item)
expected_splits.append(expected_splits[-1] + len(item))
expected = hb.data.DataFrame.Value(
np.array(expected_values),
[np.array(expected_splits, dtype=np.int32)])
actual = result['col0']
np.testing.assert_equal(actual.values, expected.values)
np.testing.assert_equal(
len(set(list(zip(*actual.indices))[0])) + 1,
len(expected.nested_row_splits[0]))
def test_feedable_iterator(self):
batch_size = 32
with tf.Graph().as_default() as graph:
ds = hb.data.ParquetDataset(
[self._filename],
batch_size=batch_size,
fields=['col2', 'col0'])
ds = ds.apply(hb.data.to_sparse())
ds = ds.prefetch(4)
it = hb.data.make_one_shot_iterator(ds)
handle_tensor = it.string_handle()
feedable_handle = tf.placeholder(tf.string, shape=[])
feedable_it = tf.data.Iterator.from_string_handle(
feedable_handle,
it.output_types,
it.output_shapes,
it.output_classes)
batch = feedable_it.get_next()
c = self._df['col0']
with tf.Session(graph=graph) as sess:
handle_val = sess.run(handle_tensor)
for i in xrange(3):
result = sess.run(batch, feed_dict={feedable_handle: handle_val})
start_row = i * batch_size
end_row = (i + 1) * batch_size
expected_items = c[start_row:end_row].to_numpy().tolist()
expected_values = []
expected_splits = [0]
for item in expected_items:
expected_values.extend(item)
expected_splits.append(expected_splits[-1] + len(item))
expected = hb.data.DataFrame.Value(
np.array(expected_values),
[np.array(expected_splits, dtype=np.int32)])
actual = result['col0']
np.testing.assert_equal(actual.values, expected.values)
np.testing.assert_equal(
len(set(list(zip(*actual.indices))[0])) + 1,
len(expected.nested_row_splits[0]))
def test_read_and_map(self):
batch_size = 32
with tf.Graph().as_default() as graph:
ds = hb.data.ParquetDataset(
[self._filename],
batch_size=batch_size,
fields=['col2', 'col0'])
def _parse(values):
return values['col0'], values['col2']
ds = ds.map(_parse)
ds = ds.prefetch(4)
batch = hb.data.make_one_shot_iterator(ds).get_next()
c = self._df['col0']
with tf.Session(graph=graph) as sess:
for i in xrange(3):
result = sess.run(batch)
start_row = i * batch_size
end_row = (i + 1) * batch_size
expected_items = c[start_row:end_row].to_numpy().tolist()
expected_values = []
expected_splits = [0]
for item in expected_items:
expected_values.extend(item)
expected_splits.append(expected_splits[-1] + len(item))
expected = hb.data.DataFrame.Value(
np.array(expected_values),
[np.array(expected_splits, dtype=np.int32)])
actual = result[0]
np.testing.assert_allclose(actual.values, expected.values)
np.testing.assert_equal(
actual.nested_row_splits, expected.nested_row_splits)
if __name__ == '__main__':
hbtest.main(f'{__file__}.xml')
| 35.778626 | 79 | 0.631747 | 1,239 | 9,374 | 4.566586 | 0.170299 | 0.04772 | 0.031813 | 0.028279 | 0.724461 | 0.708554 | 0.69795 | 0.693178 | 0.693178 | 0.687699 | 0 | 0.015746 | 0.241199 | 9,374 | 261 | 80 | 35.915709 | 0.779699 | 0.089183 | 0 | 0.73991 | 0 | 0 | 0.021964 | 0 | 0 | 0 | 0 | 0 | 0.053812 | 1 | 0.040359 | false | 0 | 0.053812 | 0.004484 | 0.103139 | 0.004484 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
876a9361ce74a5296ca91aaa83a22ed2d50ec116 | 267 | py | Python | input/stsci/ps_cone.py | JohnGood/servicemon | a320033904ee86c710248e68f12de7da7959853c | [
"BSD-3-Clause"
] | null | null | null | input/stsci/ps_cone.py | JohnGood/servicemon | a320033904ee86c710248e68f12de7da7959853c | [
"BSD-3-Clause"
] | null | null | null | input/stsci/ps_cone.py | JohnGood/servicemon | a320033904ee86c710248e68f12de7da7959853c | [
"BSD-3-Clause"
] | null | null | null | [
{'base_name': 'PanSTARRS',
'service_type': 'xcone',
'adql': '',
'access_url': 'https://catalogs.mast.stsci.edu/api/v0.1/panstarrs/dr2/'
'mean.votable?flatten_response=false&raw=false&sort_by=distance'
'&ra={}&dec={}&radius={}'
}
]
| 26.7 | 76 | 0.59176 | 32 | 267 | 4.78125 | 0.9375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013636 | 0.17603 | 267 | 9 | 77 | 29.666667 | 0.681818 | 0 | 0 | 0 | 0 | 0 | 0.707865 | 0.318352 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
876c718e9f374053a0be56fb0f09ceebbd0dbb6c | 539 | py | Python | lab_02/math_v1.py | idsdlab/basicai_sp21 | af9acba34c0417fed830de1b61753c50fd303169 | [
"MIT"
] | 1 | 2021-03-23T16:18:00.000Z | 2021-03-23T16:18:00.000Z | lab_02/math_v1.py | idsdlab/basicai_sp21 | af9acba34c0417fed830de1b61753c50fd303169 | [
"MIT"
] | null | null | null | lab_02/math_v1.py | idsdlab/basicai_sp21 | af9acba34c0417fed830de1b61753c50fd303169 | [
"MIT"
] | null | null | null | # sin(x)
import math
def derivative_of_sin(x):
return math.cos(x)
if __name__ == '__main__':
x = 2.0
y = derivative_of_sin(x)
print('x is ', x, 'derivative of sin(x): ', y)
x = math.pi / 2
y = derivative_of_sin(x)
print('x is ', x, 'derivative of sin(x): ', y)
x = 0
y = derivative_of_sin(x)
print('x is ', x, 'derivative of sin(x): ', y)
while True:
x = input('input x: ')
x = float(x)
y = derivative_of_sin(x)
print('x is ', x, 'derivative of sin(x): ', y) | 22.458333 | 54 | 0.534323 | 90 | 539 | 3 | 0.244444 | 0.148148 | 0.5 | 0.533333 | 0.651852 | 0.651852 | 0.651852 | 0.651852 | 0.651852 | 0.651852 | 0 | 0.010582 | 0.298701 | 539 | 24 | 54 | 22.458333 | 0.703704 | 0.011132 | 0 | 0.444444 | 0 | 0 | 0.234962 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.055556 | false | 0 | 0.055556 | 0.055556 | 0.166667 | 0.222222 | 0 | 0 | 0 | null | 0 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
5e522fd7cc95bdb82c4dbda39acc5ac1ec5a29bf | 3,174 | py | Python | tests/fixtures/digests/medium_content_99999.py | elifesciences/elife-bot | d3a102c8030e4b7ec83cbd45e5f839dba4f9ffd9 | [
"MIT"
] | 17 | 2015-02-10T07:10:29.000Z | 2021-05-14T22:24:45.000Z | tests/fixtures/digests/medium_content_99999.py | elifesciences/elife-bot | d3a102c8030e4b7ec83cbd45e5f839dba4f9ffd9 | [
"MIT"
] | 459 | 2015-03-31T18:24:23.000Z | 2022-03-30T19:44:40.000Z | tests/fixtures/digests/medium_content_99999.py | elifesciences/elife-bot | d3a102c8030e4b7ec83cbd45e5f839dba4f9ffd9 | [
"MIT"
] | 9 | 2015-04-18T16:57:31.000Z | 2020-10-30T11:49:13.000Z | # coding=utf-8
from collections import OrderedDict
EXPECTED = OrderedDict(
[
("title", u"Fishing for errors in the\xa0tests"),
("contentFormat", "html"),
(
"content",
u'<figure><img src="https://iiif.elifesciences.org/digests/99999%2Fdigest-99999.jpg/full/full/0/default.jpg" /><figcaption><b>It’s not just mammals who can recognise sample data.</b>\xa0Image credit:\xa0Anonymous and Anonymous\xa0(CC BY\xa04.0)</figcaption></figure><h1>Fishing for errors in the\xa0tests</h1><h2>Testing a document which mimics the format of a file we’ve used \xa0before plus CO<sub>2</sub> and Ca<sup>2+</sup>.</h2><hr/><p>Microbes live in us and on us. They are tremendously important for our health, but remain difficult to understand, since a microbial community typically consists of hundreds of species that interact in complex ways that we cannot fully characterize. It is tempting to ask whether one might instead characterize such a community as a whole, treating it as a multicellular "super-organism". However, taking this view beyond a metaphor is controversial, because the formal criteria of multicellularity require pervasive levels of cooperation between organisms that do not occur in most natural communities.</p><p>In nature, entire communities of microbes routinely come into contact – for example, kissing can mix together the communities in each person’s mouth. Can such events be usefully described as interactions between community-level "wholes", even when individual bacteria do not cooperate with each other? And can these questions be asked in a rigorous mathematical framework?</p><p>Mikhail Tikhonov has now developed a theoretical model that shows that communities of purely "selfish" members may effectively act together when competing with another community for resources. This model offers a new way to formalize the "super-organism" metaphor: although individual members compete against each other within a community, when seen from the outside the community interacts with its environment and with other communities much like a single organism.</p><p>This perspective blurs the distinction between two fundamental concepts: competition and genetic recombination. Competition combines two communities to produce a third where species are grouped in a new way, just as the genetic material of parents is recombined in their offspring.</p><p>Tikhonov’s model is highly simplified, but this suggests that the "cohesion" seen when viewing an entire community is a general consequence of ecological interactions. In addition, the model considers only competitive interactions, but in real life, species depend on each other; for example, one organism\'s waste is another\'s food. A natural next step would be to incorporate such cooperative interactions into a similar model, as cooperation is likely to make community cohesion even stronger.</p><hr/><p><em>Originally published at <a href="https://elifesciences.org/digests/99999">https://elifesciences.org/digests/99999</a>.</em></p>',
),
("tags", ["Face Recognition", "Neuroscience", "Vision"]),
("license", "cc-40-by"),
]
)
| 186.705882 | 2,846 | 0.772842 | 474 | 3,174 | 5.177215 | 0.561181 | 0.00326 | 0.028117 | 0.03423 | 0.05053 | 0.023635 | 0 | 0 | 0 | 0 | 0 | 0.01482 | 0.149653 | 3,174 | 16 | 2,847 | 198.375 | 0.894035 | 0.003781 | 0 | 0 | 0 | 0.153846 | 0.925633 | 0.074684 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.153846 | 0 | 0.153846 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
5e58dbad8f548081ccf0ccbf5aeb2063834eb2c6 | 15 | py | Python | bottery/conf/global_settings.py | Yusadolat/bottery | b239793709e68cc5036b6d2a31fc101190efba85 | [
"MIT"
] | null | null | null | bottery/conf/global_settings.py | Yusadolat/bottery | b239793709e68cc5036b6d2a31fc101190efba85 | [
"MIT"
] | null | null | null | bottery/conf/global_settings.py | Yusadolat/bottery | b239793709e68cc5036b6d2a31fc101190efba85 | [
"MIT"
] | null | null | null | TEMPLATES = []
| 7.5 | 14 | 0.6 | 1 | 15 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.2 | 15 | 1 | 15 | 15 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
5e5d2cc610a0b8821a1d7981e70dad68e016ae2f | 255 | py | Python | ui_tests/exporter/pages/sites_page.py | django-doctor/lite-frontend | 330ff9575fd22d7c4c42698ac2d653244e6180d6 | [
"MIT"
] | 1 | 2021-10-16T16:36:58.000Z | 2021-10-16T16:36:58.000Z | ui_tests/exporter/pages/sites_page.py | django-doctor/lite-frontend | 330ff9575fd22d7c4c42698ac2d653244e6180d6 | [
"MIT"
] | 45 | 2020-08-11T14:37:46.000Z | 2022-03-29T17:03:02.000Z | ui_tests/exporter/pages/sites_page.py | django-doctor/lite-frontend | 330ff9575fd22d7c4c42698ac2d653244e6180d6 | [
"MIT"
] | 3 | 2021-02-01T06:26:19.000Z | 2022-02-21T23:02:46.000Z | from ui_tests.exporter.pages.BasePage import BasePage
class SitesPage(BasePage):
SITES_CHECKBOX = ".govuk-checkboxes__input"
def click_sites_checkbox(self, no):
self.driver.find_elements_by_css_selector(self.SITES_CHECKBOX)[no].click()
| 28.333333 | 82 | 0.776471 | 34 | 255 | 5.5 | 0.705882 | 0.208556 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12549 | 255 | 8 | 83 | 31.875 | 0.838565 | 0 | 0 | 0 | 0 | 0 | 0.094118 | 0.094118 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0 | 0.2 | 0 | 0.8 | 0 | 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 | 1 | 0 | 0 | 3 |
5e6019619bcae43680483c621f2acc3ce3130c31 | 159 | py | Python | sj/utils.py | takluyver/sj | 24dfc4938294eda70d5062a79d238542537a22f9 | [
"MIT"
] | null | null | null | sj/utils.py | takluyver/sj | 24dfc4938294eda70d5062a79d238542537a22f9 | [
"MIT"
] | null | null | null | sj/utils.py | takluyver/sj | 24dfc4938294eda70d5062a79d238542537a22f9 | [
"MIT"
] | null | null | null | import os.path
_home = os.path.expanduser('~')
def compress_user(path):
if path.startswith(_home):
return '~' + path[len(_home):]
return path
| 19.875 | 38 | 0.641509 | 21 | 159 | 4.666667 | 0.571429 | 0.122449 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.201258 | 159 | 7 | 39 | 22.714286 | 0.771654 | 0 | 0 | 0 | 0 | 0 | 0.012579 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.166667 | 0 | 0.666667 | 0 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
5e7252bd0dd005bd910347e2ace4387010f97dfb | 277 | py | Python | ticket/api/admin.py | neslisahgamze/seating | e51f2ef19e6378cc1aa74bcf4582023bf910d663 | [
"MIT"
] | null | null | null | ticket/api/admin.py | neslisahgamze/seating | e51f2ef19e6378cc1aa74bcf4582023bf910d663 | [
"MIT"
] | null | null | null | ticket/api/admin.py | neslisahgamze/seating | e51f2ef19e6378cc1aa74bcf4582023bf910d663 | [
"MIT"
] | null | null | null | """ Admin """
from django.contrib import admin
from .models import Ticket, Category, Seat, Section, Event
# Register your models here.
admin.site.register(Ticket)
admin.site.register(Category)
admin.site.register(Seat)
admin.site.register(Section)
admin.site.register(Event)
| 23.083333 | 58 | 0.779783 | 38 | 277 | 5.684211 | 0.394737 | 0.208333 | 0.393519 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.097473 | 277 | 11 | 59 | 25.181818 | 0.864 | 0.122744 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.285714 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
5e96b600eef409e3c235e8fefde4d51746b0f6ea | 7,073 | py | Python | main.py | JJSrra/Research-GroupRecommendersForMovies | 5ff66865192e648a3f1d280f7fea671e5ea7f09a | [
"MIT"
] | 1 | 2019-11-24T17:19:58.000Z | 2019-11-24T17:19:58.000Z | main.py | JJSrra/Research-GroupRecommendersForMovies | 5ff66865192e648a3f1d280f7fea671e5ea7f09a | [
"MIT"
] | null | null | null | main.py | JJSrra/Research-GroupRecommendersForMovies | 5ff66865192e648a3f1d280f7fea671e5ea7f09a | [
"MIT"
] | 1 | 2019-11-24T17:20:15.000Z | 2019-11-24T17:20:15.000Z | import numpy as np
import pandas as pd
import evaluation
import similarity
if __name__ == "__main__":
array = np.array
random_groups = pd.read_csv("generated_data/random_groups.csv", header=None).to_numpy()
read_dict = open('generated_data/random_evaluated_movies.txt', 'r').read()
random_evaluated_movies = eval(read_dict)
avg_real_rankings = eval(open('generated_data/rankings/real_random_avg.txt', 'r').read())
min_real_rankings = eval(open('generated_data/rankings/real_random_min.txt', 'r').read())
max_real_rankings = eval(open('generated_data/rankings/real_random_max.txt', 'r').read())
maj_real_rankings = eval(open('generated_data/rankings/real_random_maj.txt', 'r').read())
real_random_rankings = {"avg": avg_real_rankings, "min": min_real_rankings, "max": max_real_rankings, "maj": maj_real_rankings}
buddies_groups = pd.read_csv("generated_data/buddies_groups.csv", header=None).to_numpy()
read_dict = open('generated_data/buddies_evaluated_movies.txt', 'r').read()
buddies_evaluated_movies = eval(read_dict)
avg_real_rankings = eval(open('generated_data/rankings/real_buddies_avg.txt', 'r').read())
min_real_rankings = eval(open('generated_data/rankings/real_buddies_min.txt', 'r').read())
max_real_rankings = eval(open('generated_data/rankings/real_buddies_max.txt', 'r').read())
maj_real_rankings = eval(open('generated_data/rankings/real_buddies_maj.txt', 'r').read())
real_buddies_rankings = {"avg": avg_real_rankings, "min": min_real_rankings, "max": max_real_rankings, "maj": maj_real_rankings}
read_dict = open('generated_data/train_ratings.txt', 'r').read()
train_ratings_by_user = eval(read_dict)
read_dict = open('generated_data/test_ratings.txt', 'r').read()
test_ratings_by_user = eval(read_dict)
pearson = pd.read_csv("generated_data/pearson_correlation_matrix.csv", header=None).to_numpy()
test_movies = pd.read_csv("generated_data/test_movies.csv", header=None).to_numpy().flatten()
# ===================== BASELINE =====================
# Random
predicted_random_baseline_rankings = evaluation.generate_baseline_predictions(
random_groups, random_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_random_baseline_")
evaluation.evaluate_predictions(
predicted_random_baseline_rankings, real_random_rankings, "generated_data/baseline_random_ndcg.csv")
# Buddies
predicted_buddies_baseline_rankings = evaluation.generate_baseline_predictions(
buddies_groups, buddies_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_buddies_baseline_")
evaluation.evaluate_predictions(
predicted_buddies_baseline_rankings, real_buddies_rankings, "generated_data/baseline_buddies_ndcg.csv")
# ===================== POGRS =====================
# Random
predicted_random_pogrs_rankings = evaluation.generate_pogrs_predictions(
random_groups, random_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_random_pogrs.txt")
evaluation.evaluate_predictions(
predicted_random_pogrs_rankings, real_random_rankings, "generated_data/pogrs_random_ndcg.csv")
# Buddies
predicted_buddies_pogrs_rankings = evaluation.generate_pogrs_predictions(
buddies_groups, buddies_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_buddies_pogrs.txt")
evaluation.evaluate_predictions(
predicted_buddies_pogrs_rankings, real_buddies_rankings, "generated_data/pogrs_buddies_ndcg.csv")
# ===================== EMPATHY =====================
# Random
predicted_random_empathy_rankings = evaluation.generate_empathy_predictions(
random_groups, random_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_random_empathy.txt")
evaluation.evaluate_predictions(
predicted_random_empathy_rankings, real_random_rankings, "generated_data/empathy_random_ndcg.csv")
# Buddies
predicted_buddies_empathy_rankings = evaluation.generate_empathy_predictions(
buddies_groups, buddies_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_buddies_empathy.txt")
evaluation.evaluate_predictions(
predicted_buddies_empathy_rankings, real_buddies_rankings, "generated_data/empathy_buddies_ndcg.csv")
# ===================== CINEPHILE =====================
# Random
predicted_random_cinephile_rankings = evaluation.generate_cinephile_predictions(
random_groups, random_evaluated_movies, train_ratings_by_user, test_ratings_by_user, pearson, "generated_data/rankings/predicted_random_cinephile.txt")
evaluation.evaluate_predictions(
predicted_random_cinephile_rankings, real_random_rankings, "generated_data/cinephile_random_ndcg.csv")
# Buddies
predicted_buddies_cinephile_rankings = evaluation.generate_cinephile_predictions(
buddies_groups, buddies_evaluated_movies, train_ratings_by_user, test_ratings_by_user, pearson, "generated_data/rankings/predicted_buddies_cinephile.txt")
evaluation.evaluate_predictions(
predicted_buddies_cinephile_rankings, real_buddies_rankings, "generated_data/cinephile_buddies_ndcg.csv")
# ===================== OPTIMIST =====================
# Random
predicted_random_optimist_rankings = evaluation.generate_optimist_predictions(
random_groups, random_evaluated_movies, train_ratings_by_user, test_ratings_by_user, pearson, "generated_data/rankings/predicted_random_optimist.txt")
evaluation.evaluate_predictions(
predicted_random_optimist_rankings, real_random_rankings, "generated_data/optimist_random_ndcg.csv")
# Buddies
predicted_buddies_optimist_rankings = evaluation.generate_optimist_predictions(
buddies_groups, buddies_evaluated_movies, train_ratings_by_user, test_ratings_by_user, pearson, "generated_data/rankings/predicted_buddies_optimist.txt")
evaluation.evaluate_predictions(
predicted_buddies_optimist_rankings, real_buddies_rankings, "generated_data/optimist_buddies_ndcg.csv")
# ===================== SIMILARITY =====================
# Random
predicted_random_similarity_rankings = evaluation.generate_similarity_predictions(
random_groups, random_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_random_similarity.txt")
evaluation.evaluate_predictions(
predicted_random_similarity_rankings, real_random_rankings, "generated_data/similarity_random_ndcg.csv")
# Buddies
predicted_buddies_similarity_rankings = evaluation.generate_similarity_predictions(
buddies_groups, buddies_evaluated_movies, test_ratings_by_user, pearson, "generated_data/rankings/predicted_buddies_similarity.txt")
evaluation.evaluate_predictions(
predicted_buddies_similarity_rankings, real_buddies_rankings, "generated_data/similarity_buddies_ndcg.csv")
| 53.583333 | 162 | 0.767284 | 817 | 7,073 | 6.145655 | 0.066095 | 0.103565 | 0.083649 | 0.044015 | 0.860386 | 0.79765 | 0.429397 | 0.429397 | 0.429397 | 0.41904 | 0 | 0 | 0.115934 | 7,073 | 131 | 163 | 53.992366 | 0.802975 | 0.057401 | 0 | 0.157895 | 1 | 0 | 0.268652 | 0.262034 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.052632 | 0 | 0.052632 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 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 |
5ea73af6824ea2a0e6a3c96297a9bb355f0309ec | 240 | py | Python | tools/update_terms_main.py | AutuanLiu/Kalman-Filter | 1f4b567fdf9b6465d27ffcaba8da8404f3f80c62 | [
"MIT"
] | 8 | 2019-01-13T06:41:56.000Z | 2021-11-15T09:00:46.000Z | tools/update_terms_main.py | AutuanLiu/Kalman-Filter | 1f4b567fdf9b6465d27ffcaba8da8404f3f80c62 | [
"MIT"
] | null | null | null | tools/update_terms_main.py | AutuanLiu/Kalman-Filter | 1f4b567fdf9b6465d27ffcaba8da8404f3f80c62 | [
"MIT"
] | 3 | 2019-07-24T07:40:22.000Z | 2021-05-03T12:37:18.000Z | """重要工具包之工具使用
Copyright:
----------
Author: AutuanLiu
Date: 2019/1/14
"""
from core_tools import update_terms
# !更新候选项
update_terms(data_root='data/', data_type_set={'linear', 'nonlinear', 'longlag_linear', 'longlag_nonlinear'})
| 18.461538 | 109 | 0.691667 | 29 | 240 | 5.448276 | 0.758621 | 0.139241 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033333 | 0.125 | 240 | 12 | 110 | 20 | 0.719048 | 0.345833 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.5 | 0 | 0.5 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
0d6064cb2c5d5627c75aa1e498478a24622679ea | 537 | py | Python | F29.BioEntity/RunTests.py | foundation29org/F29.BioEntity | 531947fb85465f363e63e268b9e3ca17283d76dd | [
"MIT"
] | null | null | null | F29.BioEntity/RunTests.py | foundation29org/F29.BioEntity | 531947fb85465f363e63e268b9e3ca17283d76dd | [
"MIT"
] | null | null | null | F29.BioEntity/RunTests.py | foundation29org/F29.BioEntity | 531947fb85465f363e63e268b9e3ca17283d76dd | [
"MIT"
] | null | null | null | import unittest
from BioEntityTests import *
USE_CACHE = True
suite = unittest.TestSuite()
suite.addTest(HPOGraphTests('en', use_cache=USE_CACHE))
suite.addTest(MondoGraphTests('en', use_cache=USE_CACHE))
suite.addTest(BioPhensTests('en', use_cache=USE_CACHE))
suite.addTest(BioGenesTests(use_cache=USE_CACHE))
suite.addTest(HPOGraphTests('es', use_cache=USE_CACHE))
suite.addTest(MondoGraphTests('es', use_cache=USE_CACHE))
suite.addTest(BioPhensTests('es', use_cache=USE_CACHE))
unittest.TextTestRunner(verbosity=2).run(suite)
| 25.571429 | 57 | 0.800745 | 72 | 537 | 5.763889 | 0.277778 | 0.289157 | 0.185542 | 0.26988 | 0.607229 | 0.563855 | 0.496386 | 0 | 0 | 0 | 0 | 0.001988 | 0.063315 | 537 | 20 | 58 | 26.85 | 0.823062 | 0 | 0 | 0 | 0 | 0 | 0.022388 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.166667 | 0 | 0.166667 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
0d7ee4518600b49e06e13d744afa57a8d4da5585 | 6,705 | py | Python | .test/test-usecase-5.py | ItWillBeBetter/data-protection | 6db0f4c7089fe110af8065583959d7dc13dba45e | [
"MIT-0"
] | 93 | 2019-01-02T16:51:45.000Z | 2022-02-13T07:29:36.000Z | .test/test-usecase-5.py | mukhendra/data-protection | 6a4629855b181a4e5fbfb690b9b22203ff7e1b2e | [
"MIT-0"
] | 2 | 2019-10-16T07:37:23.000Z | 2021-06-07T10:38:37.000Z | .test/test-usecase-5.py | mukhendra/data-protection | 6a4629855b181a4e5fbfb690b9b22203ff7e1b2e | [
"MIT-0"
] | 54 | 2019-01-06T21:39:57.000Z | 2022-02-25T09:01:05.000Z | import unittest
import subprocess
import boto3
import os
import time
from botocore.exceptions import ClientError
# Note: beware of the limit on number of PCA certificates that can be generated!
class TestUseCase5(unittest.TestCase):
def setUp(self):
self.ddb_client = boto3.client('dynamodb')
self.acm_pca_client = boto3.client('acm-pca')
self.ssm_client = boto3.client('ssm')
self.s3_resource = boto3.resource('s3')
self.cwd = os.path.dirname(os.path.realpath(__file__)) + '/../usecase-5'
def test_step1(self):
print("Test step 1")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-1.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
time.sleep(5)
try:
self.ssm_client.get_parameter(Name='/dp-workshop/target_group_arn')['Parameter']['Value']
except ClientError as e:
self.fail(msg='missing parameter /dp-workshop/target_group_arn')
def test_step2(self):
print("Test step 2")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-2.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
time.sleep(5)
try:
self.ssm_client.get_parameter(Name='/dp-workshop/subordinate_pca_arn')['Parameter']['Value']
except ClientError as e:
self.fail(msg='missing parameter /dp-workshop/subordinate_pca_arn')
try:
self.ssm_client.get_parameter(Name='/dp-workshop/subordinate_ca_serial_number')['Parameter']['Value']
except ClientError as e:
self.fail(msg='missing parameter /dp-workshop/subordinate_ca_serial_number')
try:
crl_bucket_name = self.ssm_client.get_parameter(Name='/dp-workshop/crl_bucket_name')['Parameter']['Value']
try:
self.s3_resource.meta.client.head_bucket(Bucket=crl_bucket_name)
except ClientError as e:
self.fail(msg='missing s3 bucket '+crl_bucket_name)
except ClientError as e:
self.fail(msg='missing parameter /dp-workshop/crl_bucket_name')
def test_step3(self):
print("Test step 3")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-3.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
time.sleep(1)
self.assertEqual(os.path.isfile(self.cwd+'/self-signed-cert.pem'), True )
try:
self.ssm_client.get_parameter(Name='/dp-workshop/rootca_serial_number')['Parameter']['Value']
except ClientError as e:
self.fail(msg='missing parameter /dp-workshop/rootca_serial_number')
def test_step4(self):
print("Test step 4")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-4.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
time.sleep(1)
self.assertEqual(os.path.isfile(self.cwd+'/signed_subordinate_ca_cert.pem'), True )
def test_step5(self):
print("Test step 5")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-5.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
time.sleep(1)
subordinate_pca_arn = self.ssm_client.get_parameter(Name='/dp-workshop/subordinate_pca_arn')['Parameter']['Value']
response = self.acm_pca_client.describe_certificate_authority(
CertificateAuthorityArn=subordinate_pca_arn
)
self.assertEqual(response['CertificateAuthority']['Status'],'ACTIVE')
def test_step6(self):
print("Test step 6")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-6.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
time.sleep(1)
self.assertEqual(os.path.isfile(self.cwd+'/cert_chain.pem'), True )
def test_step7(self):
print("Test step 7")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-7.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
def test_step8(self):
print("Test step 8")
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-8.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
def test_step9(self):
print("Test step 9")
crl_bucket_name = None
try:
crl_bucket_name = self.ssm_client.get_parameter(Name='/dp-workshop/crl_bucket_name')['Parameter']['Value']
except ClientError as e:
self.fail(msg='missing parameter /dp-workshop/crl_bucket_name')
subordinate_pca_arn = self.ssm_client.get_parameter(Name='/dp-workshop/subordinate_pca_arn')['Parameter']['Value']
child = subprocess.Popen(['python', self.cwd+'/usecase-5-step-9-cleanup.py'])
output = child.communicate()[0]
self.assertEqual(child.returncode, 0)
time.sleep(5)
# validate s3 bucket removed
if crl_bucket_name is not None:
try:
self.s3_resource.meta.client.head_bucket(Bucket=crl_bucket_name)
self.fail(msg='missing s3 bucket: '+crl_bucket_name)
except ClientError as e:
print "bucket removed: "+crl_bucket_name
# validate files removed
self.assertEqual(os.path.isfile(self.cwd+'/self-signed-cert.pem'), False )
self.assertEqual(os.path.isfile(self.cwd+'/signed_subordinate_ca_cert.pem'), False )
self.assertEqual(os.path.isfile(self.cwd+'/cert_chain.pem'), False )
# validate parameters removed
params = ['/dp-workshop/listener_arn',
'/dp-workshop/private_cert_arn',
'/dp-workshop/target_group_arn',
'/dp-workshop/subordinate_pca_arn',
'/dp-workshop/rootca_serial_number',
'/dp-workshop/subordinate_ca_serial_number',
'/dp-workshop/crl_bucket_name'
]
for param in params:
try:
self.ssm_client.get_parameter(Name=param)
self.fail("parameter not removed: "+param)
except ClientError as e:
print "Validating parameter deleted: "+param
# validate subordinate pca removed
response = self.acm_pca_client.describe_certificate_authority(
CertificateAuthorityArn=subordinate_pca_arn
)
self.assertEqual(response['CertificateAuthority']['Status'],'DELETED')
if __name__ == '__main__':
unittest.main()
| 43.258065 | 122 | 0.631767 | 812 | 6,705 | 5.051724 | 0.160099 | 0.051195 | 0.044369 | 0.037299 | 0.757192 | 0.711604 | 0.699171 | 0.69137 | 0.69137 | 0.582399 | 0 | 0.014717 | 0.23997 | 6,705 | 154 | 123 | 43.538961 | 0.790228 | 0.028188 | 0 | 0.416667 | 1 | 0 | 0.241167 | 0.12212 | 0 | 0 | 0 | 0 | 0.128788 | 0 | null | null | 0 | 0.045455 | null | null | 0.083333 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 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 | 0 | 0 | 0 | 0 | 0 | 3 |
0d8065ff4b5a1e13452a4d6db853c06988c8a31f | 1,063 | py | Python | swifpy/dictionary.py | koher/kollect | 1e77541d22e8dac753fdcc5d0ac1f745c771fc89 | [
"MIT"
] | 1 | 2017-02-17T03:29:43.000Z | 2017-02-17T03:29:43.000Z | swifpy/dictionary.py | koher/kollect | 1e77541d22e8dac753fdcc5d0ac1f745c771fc89 | [
"MIT"
] | null | null | null | swifpy/dictionary.py | koher/kollect | 1e77541d22e8dac753fdcc5d0ac1f745c771fc89 | [
"MIT"
] | null | null | null | import typing as tp
import builtins as py
from .optional import Optional, optional
K = tp.TypeVar('K')
V = tp.TypeVar('V')
class Dictionary(tp.Generic[K, V], tp.Iterable[tp.Tuple[K, V]]):
def __init__(self, entries: tp.Dict[K, V]) -> None:
self._entries: tp.Dict[K, V] = py.dict(entries)
def __getitem__(self, key: K) -> Optional[V]:
return optional(self._entries.get(key))
def __setitem__(self, key: K, value: V) -> None:
self._entries[key] = value
@property
def keys(self) -> tp.Iterable[K]:
return self._entries.keys()
@property
def values(self) -> tp.Iterable[V]:
return self._entries.values()
def for_each(self, body: tp.Callable[[K, V], None]) -> None:
for key, value in self._entries.items():
body(key, value)
@property
def count(self) -> int:
return len(self._entries)
def remove_all(self) -> None:
self._entries.clear()
def __iter__(self) -> tp.Iterator[tp.Tuple[K, V]]:
return self._entries.items().__iter__()
| 26.575 | 64 | 0.614299 | 150 | 1,063 | 4.146667 | 0.3 | 0.176849 | 0.072347 | 0.028939 | 0.061093 | 0.061093 | 0 | 0 | 0 | 0 | 0 | 0 | 0.231421 | 1,063 | 39 | 65 | 27.25641 | 0.761322 | 0 | 0 | 0.107143 | 0 | 0 | 0.001881 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.321429 | false | 0 | 0.107143 | 0.178571 | 0.642857 | 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 |
0d8540287377b95878451a908cc20410bcd2406e | 293 | py | Python | app/__init__.py | kelvzxu/Biometric_machine_connector | 2d21823d4d30db8c2e21d649f8dec6bc6d6b7d96 | [
"MIT"
] | null | null | null | app/__init__.py | kelvzxu/Biometric_machine_connector | 2d21823d4d30db8c2e21d649f8dec6bc6d6b7d96 | [
"MIT"
] | null | null | null | app/__init__.py | kelvzxu/Biometric_machine_connector | 2d21823d4d30db8c2e21d649f8dec6bc6d6b7d96 | [
"MIT"
] | null | null | null | from flask import Flask
import logging
app = Flask(__name__)
from . import attendance
from . import controller
from . import user
from . import base
if __name__ == "__main__":
logging.basicConfig(filename='error.log',level=logging.DEBUG)
app.run(host='0.0.0.0', port=5000) | 22.538462 | 65 | 0.709898 | 41 | 293 | 4.780488 | 0.560976 | 0.204082 | 0.030612 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.033195 | 0.177474 | 293 | 13 | 66 | 22.538462 | 0.780083 | 0 | 0 | 0 | 0 | 0 | 0.085106 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.6 | 0 | 0.6 | 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 |
0d8cb5dd1121a6a3b914e4f84f48c99c33756d17 | 466 | py | Python | backend/app/models/meme.py | jnana-cetana/XMeme | cb7d5e31c455dc3c7e751dff9e7c8e067090936b | [
"MIT"
] | 19 | 2021-02-15T19:55:25.000Z | 2022-02-01T09:05:07.000Z | backend/app/models/meme.py | jnana-cetana/XMeme | cb7d5e31c455dc3c7e751dff9e7c8e067090936b | [
"MIT"
] | null | null | null | backend/app/models/meme.py | jnana-cetana/XMeme | cb7d5e31c455dc3c7e751dff9e7c8e067090936b | [
"MIT"
] | null | null | null | from sqlalchemy import Column, DateTime, Index, Integer, String
from sqlalchemy.sql import func
from app.db.base_class import Base
class Meme(Base):
id = Column(Integer, primary_key=True)
name = Column(String, nullable=False)
url = Column(String, nullable=False)
caption = Column(String, nullable=False)
created_at = Column(DateTime, server_default=func.now())
__table_args__ = (
Index('created_at_idx', created_at.desc()),
)
| 27.411765 | 63 | 0.712446 | 61 | 466 | 5.245902 | 0.540984 | 0.1125 | 0.1875 | 0.234375 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.180258 | 466 | 16 | 64 | 29.125 | 0.837696 | 0 | 0 | 0 | 0 | 0 | 0.030043 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.833333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
0d9eddf41da9c980c042e11a76962d009a925c7f | 102 | py | Python | PyGamesScripts/Sudoku/main.py | tanvi355/Awesome_Python_Scripts | dd906dff3c311e260851f8720cbce77d7398be43 | [
"MIT"
] | 3 | 2021-06-22T07:12:31.000Z | 2022-02-27T18:40:16.000Z | PyGamesScripts/Sudoku/main.py | tanvi355/Awesome_Python_Scripts | dd906dff3c311e260851f8720cbce77d7398be43 | [
"MIT"
] | 1 | 2021-07-02T15:36:02.000Z | 2021-07-02T15:37:25.000Z | PyGamesScripts/Sudoku/main.py | tanvi355/Awesome_Python_Scripts | dd906dff3c311e260851f8720cbce77d7398be43 | [
"MIT"
] | 2 | 2021-10-03T16:22:08.000Z | 2021-10-03T17:35:14.000Z | from app_class import *
# The main driver code
if __name__=="__main__":
app = App()
app.run()
| 12.75 | 24 | 0.647059 | 15 | 102 | 3.8 | 0.733333 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.22549 | 102 | 7 | 25 | 14.571429 | 0.721519 | 0.196078 | 0 | 0 | 0 | 0 | 0.1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 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 |
0de2565984e10cb4bf0a07ad6ba2fa3958be3a23 | 592 | py | Python | tests/util/module_for_assert_has_decorator.py | emartech/ems-dataflow-testframework | c70b0768573e9c4af98173bb0b444dee442de53a | [
"MIT"
] | null | null | null | tests/util/module_for_assert_has_decorator.py | emartech/ems-dataflow-testframework | c70b0768573e9c4af98173bb0b444dee442de53a | [
"MIT"
] | null | null | null | tests/util/module_for_assert_has_decorator.py | emartech/ems-dataflow-testframework | c70b0768573e9c4af98173bb0b444dee442de53a | [
"MIT"
] | 1 | 2022-02-17T19:56:44.000Z | 2022-02-17T19:56:44.000Z | from tests.util.dummy_decorator import dummydec
class DecoratorDummy:
@dummydec(103, stop_max_delay=10000, wait_fixed=1000)
def method_with_decorator(self):
pass
@staticmethod
@dummydec(multiple_by=2)
def return_one():
return 1
def method_without_decorator(self):
pass
@dummydec(stop_max_delay=10000, wait_fixed=1000)
def method_with_decorator_2(self):
pass
@dummydec(stop_max_delay=10001)
def method_with_decorator_3(self):
pass
@staticmethod
def method_with_different_decorator():
pass
| 20.413793 | 57 | 0.692568 | 74 | 592 | 5.216216 | 0.445946 | 0.11658 | 0.134715 | 0.170984 | 0.38342 | 0.38342 | 0.26943 | 0.26943 | 0.26943 | 0.26943 | 0 | 0.066079 | 0.233108 | 592 | 28 | 58 | 21.142857 | 0.784141 | 0 | 0 | 0.35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.3 | false | 0.25 | 0.05 | 0.05 | 0.45 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
0df3bc3866506cba140bf15a4e7a7226f8c88e21 | 6,470 | py | Python | OCAES/OCAES_rules.py | EnergyModels/OCAES | d848d9fa621767e036824110de87450d524b7687 | [
"MIT"
] | null | null | null | OCAES/OCAES_rules.py | EnergyModels/OCAES | d848d9fa621767e036824110de87450d524b7687 | [
"MIT"
] | null | null | null | OCAES/OCAES_rules.py | EnergyModels/OCAES | d848d9fa621767e036824110de87450d524b7687 | [
"MIT"
] | null | null | null | from pyomo.environ import *
def pwr_wind(model, t):
return model.P_wind[t] == model.X_wind * model.P_wind_fr[t]
# ----------------
# Variable capacities - X_wind and X_storage are optimized variables
# ----------------
def capacity_well_var(model):
return model.X_well == model.X_storage
def capacity_cmp_var(model):
return model.X_cmp == model.X_storage
def capacity_exp_var(model):
return model.X_exp == model.X_storage
# ----------------
# capacity constraints
# ----------------
# power
def pwr_capacity_cmp(model, t):
return model.P_cmp[t] <= model.X_cmp
def pwr_capacity_exp(model, t):
return model.P_exp[t] <= model.X_exp
def pwr_capacity_well_in(model, t):
return model.P_cmp[t] <= model.X_well
def pwr_capacity_well_out(model, t):
return model.P_exp[t] <= model.X_well
def pwr_grid_sell(model, t):
return model.P_grid_sell[t] <= model.X_wind
def pwr_grid_limit(model, t):
return model.P_grid_sell[t] + model.P_grid_buy[t] <= model.X_wind
def pwr_grid_buy_enabled(model, t):
return model.P_grid_buy[t] <= model.X_wind
def pwr_grid_buy_disabled(model, t):
return model.P_grid_buy[t] <= 0.0 # turned off arbitrage
def pwr_dispatch_const(model, t):
return model.P_grid_sell[t] == model.X_dispatch
# energy
def energy_capacity_well_min(model, t):
return model.E_well_min_fr * model.E_well_duration * model.X_well <= model.E_well[t]
def energy_capacity_well_max(model, t):
return model.E_well[t] <= model.E_well_max_fr * model.E_well_duration * model.X_well
# ----------------
# power balance
# ----------------
def power_balance(model, t):
return model.P_wind[t] + model.P_exp[t] + model.P_grid_buy[t] == model.P_curtail[t] + model.P_grid_sell[t] + \
model.P_cmp[t]
# ----------------
# energy stored
# ----------------
def energy_stored_init(model):
return model.E_well_init == value(model.X_well) * model.E_well_init_fr * model.E_well_duration
def energy_stored(model, t):
if t == 1:
return model.E_well[t] == model.E_well_init
else:
return model.E_well[t] == model.E_well[t - 1] + \
model.delta_t * model.P_cmp[t] * model.eta_storage_single - \
model.delta_t * model.P_exp[t] / model.eta_storage_single
def energy_stored_final(model):
return model.E_well[model.T - 1] == model.E_well_init
# ----------------
# avoided emissions
# ----------------
def emissions(model):
return model.avoided_emissions == model.delta_t * sum(
model.P_grid_sell[t] * model.emissions_grid[t] for t in model.t) - \
model.delta_t * sum(model.P_grid_buy[t] * model.emissions_grid[t] for t in model.t)
# ----------------
# electricity
# ----------------
def total_electricity(model):
return model.total_electricity == sum(model.P_wind[t] for t in model.t)
def yearly_electricity(model):
return model.yearly_electricity == sum(model.P_grid_sell[t] for t in model.t) * 8760 / (model.T * model.delta_t)
def yearly_electricity_generated(model):
return model.yearly_electricity_generated == sum(model.P_wind[t] for t in model.t) * 8760 / (
model.T * model.delta_t)
def yearly_electricity_purchased(model):
return model.yearly_electricity_purchased == sum(model.P_grid_buy[t] for t in model.t) * 8760 / (
model.T * model.delta_t)
def yearly_curtailment(model):
return model.yearly_curtailment == sum(model.P_curtail[t] for t in model.t) * 8760 / (model.T * model.delta_t)
def yearly_exp_usage(model):
return model.yearly_exp_usage == sum(model.P_exp[t] for t in model.t) * 8760 / (model.T * model.delta_t)
def yearly_cmp_usage(model):
return model.yearly_cmp_usage == sum(model.P_cmp[t] for t in model.t) * 8760 / (model.T * model.delta_t)
# ----------------
# economics
# ----------------
def electricity_revenue(model, t):
return model.electricity_revenue[t] == (model.P_grid_sell[t] - model.P_grid_buy[t]) * \
model.delta_t * model.price_grid[t]
def yearly_electricity_revenue(model):
return model.yearly_electricity_revenue == model.delta_t * sum(
(model.P_grid_sell[t] - model.P_grid_buy[t]) * model.price_grid[t] for t in model.t) * 8760 / (
model.T * model.delta_t)
def yearly_capacity_credit(model):
return model.yearly_capacity_credit == model.CC_value * 365 * min(model.X_wind,
model.X_wind * model.CC_wind + model.X_exp * model.CC_exp)
def yearly_capacity_credit_simple(model):
return model.yearly_capacity_credit == model.CC_value * 365 * (
model.X_wind * model.CC_wind + model.X_exp * model.CC_exp)
def yearly_total_revenue(model):
return model.yearly_total_revenue == model.yearly_electricity_revenue + model.yearly_capacity_credit
def yearly_costs(model):
# capital costs = capacity * annual costs
capital = model.CRF_wind * model.X_wind * model.C_wind + \
model.CRF_well * model.X_well * model.C_well + \
model.CRF_cmp * model.X_cmp * model.C_cmp + \
model.CRF_exp * model.X_exp * model.C_exp
# fixed costs
fixed = model.X_wind * model.F_wind + model.X_well * model.F_well + model.X_cmp * model.F_cmp + model.X_exp * model.F_exp
# variable costs
variable = model.V_wind * model.delta_t * sum(model.P_wind[t] for t in model.t) + model.V_cmp * model.delta_t * sum(
model.P_cmp[t] for t in model.t) + model.V_exp * model.delta_t * sum(model.P_exp[t] for t in model.t)
variable = variable * 8760 / (model.T * model.delta_t) # scale to one year
return model.yearly_costs == capital + fixed + variable
def yearly_profit(model):
return model.yearly_profit == model.yearly_total_revenue - model.yearly_costs
# ----------------
# value of electricity (denominator of COVE)
# ----------------
def yearly_electricity_value(model):
return model.yearly_electricity_value == model.delta_t * sum(
model.P_grid_sell[t] * model.price_grid[t] for t in model.t) / model.price_grid_average * 8760 / (
model.T * model.delta_t)
# ----------------
# objective
# ----------------
def objective_revenue(model):
return model.yearly_electricity_revenue
def objective_COVE(model):
return model.yearly_electricity_value
def objective_PROFIT(model):
return model.yearly_profit
def objective_COST(model):
return model.yearly_costs
| 29.409091 | 128 | 0.659505 | 984 | 6,470 | 4.057927 | 0.097561 | 0.066116 | 0.092161 | 0.088154 | 0.624593 | 0.505635 | 0.4002 | 0.363386 | 0.293263 | 0.262209 | 0 | 0.008949 | 0.188253 | 6,470 | 219 | 129 | 29.543379 | 0.751333 | 0.097836 | 0 | 0.057692 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.375 | false | 0 | 0.009615 | 0.355769 | 0.769231 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
21b45d0d9aff34a1e81f93915016e44c46a400c5 | 724 | py | Python | 2019/day_04/python/day04.py | josephroquedev/advent-of-code | bb217deb7a5f5ed5c8c04cb726ddadb5b042ee4d | [
"MIT"
] | null | null | null | 2019/day_04/python/day04.py | josephroquedev/advent-of-code | bb217deb7a5f5ed5c8c04cb726ddadb5b042ee4d | [
"MIT"
] | 2 | 2021-06-02T00:41:38.000Z | 2021-11-30T10:05:29.000Z | 2019/day_04/python/day04.py | autoreleasefool/advent-of-code | bb217deb7a5f5ed5c8c04cb726ddadb5b042ee4d | [
"MIT"
] | null | null | null | from aoc import AOC, chunk
aoc = AOC(year=2019, day=4)
password_range = range(256310, 732736 + 1)
# Part 1
def has_pair(p):
return any(x == y for x, y in zip(p[:-1], p[1:]))
def never_decreases(p):
return all(int(y) >= int(x) for x, y in zip(p[:-1], p[1:]))
def is_valid(p):
return has_pair(str(p)) and never_decreases(str(p))
valid_passwords = sum(1 for p in password_range if is_valid(p))
aoc.p1(valid_passwords)
# Part 2
def has_pair(p):
p = [None, None] + list(p) + [None, None]
return any(
x == y and x != w and y != z
for w, x, y, z in zip(p[:-3], p[1:-2], p[2:-1], p[3:])
)
valid_passwords = sum(1 for p in password_range if is_valid(p))
aoc.p2(valid_passwords)
| 19.567568 | 63 | 0.603591 | 143 | 724 | 2.951049 | 0.307692 | 0.023697 | 0.042654 | 0.052133 | 0.317536 | 0.317536 | 0.317536 | 0.317536 | 0.317536 | 0.317536 | 0 | 0.060391 | 0.222376 | 724 | 36 | 64 | 20.111111 | 0.689165 | 0.017956 | 0 | 0.210526 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.210526 | false | 0.263158 | 0.052632 | 0.157895 | 0.473684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 |
21b7ccf14041bc20009777d2f302a84cb3f7a469 | 146 | py | Python | t20.py | tarunagarwal99/python | 13dbf4c4226430a3436d91d60f234827a05a6e0e | [
"MIT"
] | null | null | null | t20.py | tarunagarwal99/python | 13dbf4c4226430a3436d91d60f234827a05a6e0e | [
"MIT"
] | null | null | null | t20.py | tarunagarwal99/python | 13dbf4c4226430a3436d91d60f234827a05a6e0e | [
"MIT"
] | null | null | null | a=int(input("enter first number:"))
b=int(input("enter second number:"))
sum=0
for i in range (a,b+1):
sum=sum+i
print(sum)
| 20.857143 | 37 | 0.575342 | 26 | 146 | 3.230769 | 0.615385 | 0.190476 | 0.309524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018182 | 0.246575 | 146 | 6 | 38 | 24.333333 | 0.745455 | 0 | 0 | 0 | 0 | 0 | 0.278571 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.166667 | 1 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
21ba91bfcfbcd8bf7711f61ba60acdb9aff1a4ec | 549 | py | Python | bad_pickle.py | xvitkov/pv080_test.py | 63fd45ac01217d005a99ee123129a780bc35d825 | [
"MIT"
] | null | null | null | bad_pickle.py | xvitkov/pv080_test.py | 63fd45ac01217d005a99ee123129a780bc35d825 | [
"MIT"
] | null | null | null | bad_pickle.py | xvitkov/pv080_test.py | 63fd45ac01217d005a99ee123129a780bc35d825 | [
"MIT"
] | null | null | null | # contains bunch of buggy examples
# taken from https://hackernoon.com/10-common-security-gotchas-in-python
# -and-how-to-avoid-them-e19fbe265e03
def transcode_file(filename):
"""Input injection"""
command = 'ffmpeg -i "{source}" output_file.mpg'.format(source=filename)
return command
# a bad idea!
def access_function(user):
"""Assert statements"""
assert user.is_admin, 'user does not have access'
# secure code...
class RunBinSh():
"""Pickles"""
def __reduce__(self):
return
| 24.954545 | 77 | 0.653916 | 67 | 549 | 5.238806 | 0.835821 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.020882 | 0.214936 | 549 | 21 | 78 | 26.142857 | 0.793503 | 0.380692 | 0 | 0 | 0 | 0 | 0.204013 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.375 | false | 0 | 0 | 0.125 | 0.75 | 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 |
21ca6e75553bcbfe8b235a7ece1bd934c9f2a013 | 1,157 | py | Python | server/migrations/0006_auto_20201107_1031.py | valdergallo/dbuddy | 19de984abcdf8d0a512f725be1aa9abef67b5c6f | [
"MIT"
] | 2 | 2020-11-07T11:51:20.000Z | 2021-08-16T11:19:20.000Z | server/migrations/0006_auto_20201107_1031.py | valdergallo/dbuddy | 19de984abcdf8d0a512f725be1aa9abef67b5c6f | [
"MIT"
] | 7 | 2020-11-07T11:26:36.000Z | 2021-08-21T12:21:45.000Z | server/migrations/0006_auto_20201107_1031.py | valdergallo/dbuddy | 19de984abcdf8d0a512f725be1aa9abef67b5c6f | [
"MIT"
] | 2 | 2021-08-17T21:18:34.000Z | 2021-08-21T16:42:46.000Z | # Generated by Django 3.1.3 on 2020-11-07 10:31
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('server', '0005_auto_20201107_1029'),
]
operations = [
migrations.AlterField(
model_name='server',
name='databases',
field=models.ManyToManyField(blank=True, null=True, to='server.Database'),
),
migrations.AlterField(
model_name='server',
name='host',
field=models.CharField(default='localhost', max_length=250),
),
migrations.AlterField(
model_name='server',
name='ssh_key',
field=models.FileField(blank=True, null=True, upload_to='ssh_keys'),
),
migrations.AlterField(
model_name='server',
name='ssh_key_pass',
field=models.CharField(blank=True, max_length=250, null=True),
),
migrations.AlterField(
model_name='servergroup',
name='servers',
field=models.ManyToManyField(blank=True, null=True, to='server.Server'),
),
]
| 29.666667 | 86 | 0.574762 | 116 | 1,157 | 5.603448 | 0.439655 | 0.153846 | 0.192308 | 0.223077 | 0.415385 | 0.415385 | 0.295385 | 0.295385 | 0.156923 | 0 | 0 | 0.045735 | 0.300778 | 1,157 | 38 | 87 | 30.447368 | 0.757726 | 0.038894 | 0 | 0.4375 | 1 | 0 | 0.133333 | 0.020721 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.03125 | 0.03125 | 0 | 0.125 | 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 |
21d867c7cdac703a2de9cf0371f70433dff33583 | 46 | py | Python | python/testData/inspections/PyUnboundLocalVariableInspection/WhileOneBreak.py | jnthn/intellij-community | 8fa7c8a3ace62400c838e0d5926a7be106aa8557 | [
"Apache-2.0"
] | 2 | 2019-04-28T07:48:50.000Z | 2020-12-11T14:18:08.000Z | python/testData/inspections/PyUnboundLocalVariableInspection/WhileOneBreak.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 173 | 2018-07-05T13:59:39.000Z | 2018-08-09T01:12:03.000Z | python/testData/inspections/PyUnboundLocalVariableInspection/WhileOneBreak.py | Cyril-lamirand/intellij-community | 60ab6c61b82fc761dd68363eca7d9d69663cfa39 | [
"Apache-2.0"
] | 2 | 2020-03-15T08:57:37.000Z | 2020-04-07T04:48:14.000Z | while 1:
a = 1
break
print(a) # pass
| 9.2 | 16 | 0.5 | 8 | 46 | 2.875 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.071429 | 0.391304 | 46 | 4 | 17 | 11.5 | 0.75 | 0.086957 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.25 | 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 |
21ef4e538eea810b1056d007defd55429f80961a | 8,650 | py | Python | board.py | roukaour/sudoku | f405f627b49b7400c8b41c36194d99ef4b6b179e | [
"MIT"
] | 7 | 2015-09-30T19:09:29.000Z | 2022-03-26T05:51:18.000Z | board.py | roukaour/sudoku | f405f627b49b7400c8b41c36194d99ef4b6b179e | [
"MIT"
] | 1 | 2018-07-10T18:31:45.000Z | 2018-07-11T01:32:11.000Z | board.py | roukaour/sudoku | f405f627b49b7400c8b41c36194d99ef4b6b179e | [
"MIT"
] | 2 | 2019-06-26T11:37:31.000Z | 2020-06-27T07:55:08.000Z | from __future__ import print_function
from utils import *
from color import *
from cell import *
from collections import namedtuple
from itertools import product
from functools import wraps
Strategy = namedtuple('Strategy', ('name', 'function'))
class Sudoku(object):
"""A 9x9 Sudoku board."""
UNIT_TYPES = ['row', 'column', 'block']
# A dictionary of solution strategies, keyed by their increasing difficulty
strategies = {0: Strategy('nothing', lambda sudoku, verbose: False)}
@classmethod
def strategy(cls, name, difficulty):
"""Decorate a strategy function to register it for use in the solve method."""
def decorator(function):
@wraps(function)
def wrapper(sudoku, verbose):
if sudoku.solved():
return False
if verbose:
print('Try', name)
changed = function(sudoku, verbose)
if verbose and not changed:
print('...No', name, 'found')
return changed
cls.strategies[difficulty] = Strategy(name, wrapper)
return wrapper
return decorator
def __init__(self, *cells):
if len(cells) == 1:
cells = cells[0]
if isinstance(cells, str):
cells = filter(None, (c if c in map(str, Cell.VALUES) else
'0' if c in '0._*' else '' for c in cells))
cells = list(cells)
if len(cells) == 9:
cells = flatten(map(list, cells))
if len(cells) != 81:
raise ValueError('Invalid Sudoku board: %r' % (cells,))
self.cm = []
while cells:
row, cells = cells[:9], cells[9:]
row = [Cell(i, len(self.cm), d) for i, d in enumerate(row)]
self.cm.append(row)
def __repr__(self):
return 'Sudoku(%r)' % self.code_str()
def __str__(self):
return self.terse_str() if self.solved() else self.verbose_str()
def code_str(self):
return ''.join(str(c.value()) for c in self.cells())
def terse_str(self):
return ''' 1 2 3 4 5 6 7 8 9
+-------+-------+-------+
A | %s %s %s | %s %s %s | %s %s %s |
B | %s %s %s | %s %s %s | %s %s %s |
C | %s %s %s | %s %s %s | %s %s %s |
+-------+-------+-------+
D | %s %s %s | %s %s %s | %s %s %s |
E | %s %s %s | %s %s %s | %s %s %s |
F | %s %s %s | %s %s %s | %s %s %s |
+-------+-------+-------+
G | %s %s %s | %s %s %s | %s %s %s |
H | %s %s %s | %s %s %s | %s %s %s |
J | %s %s %s | %s %s %s | %s %s %s |
+-------+-------+-------+''' % tuple(c.value() for c in self.cells())
def verbose_str(self):
s = flatten(list(' (%d) ' % c.value()) if c.solved() else
[c.dcs.get(d, Color.NEITHER).colored(d) if d in c.ds else '.'
for d in Cell.VALUES] for c in self.cells())
return (''' 1 2 3 4 5 6 7 8 9
+-------------+-------------+-------------+
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
A | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| | | |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
B | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| | | |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
C | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
+-------------+-------------+-------------+
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
D | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| | | |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
E | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| | | |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
F | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
+-------------+-------------+-------------+
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
G | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| | | |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
H | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| | | |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
J | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
| %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s | %s%s%s %s%s%s %s%s%s |
+-------------+-------------+-------------+''' %
tuple(flatten(flatten(flatten(transpose(chunk(chunk(h, 3), 3))
for h in chunk(s, 81))))))
def verify(self):
verified = True
values = set(Cell.VALUES)
for i in range(9):
verified &= union(c.ds for c in self.row(i)) == values
verified &= union(c.ds for c in self.col(i)) == values
verified &= union(c.ds for c in self.block(i)) == values
for y, x in product(range(9), range(9)):
cell = self.cell(x, y)
verified &= 1 <= len(cell.ds) <= 9 and cell.ds.issubset(values)
if not verified:
raise RuntimeError('Sudoku board is in an invalid state')
def copy(self):
return Sudoku(*self.cm)
def cells(self):
return flatten(self.cm)
def row(self, y):
return self.cm[y]
def row_without(self, x, y):
return self.cm[y][:x] + self.cm[y][x+1:]
def col(self, x):
return [row[x] for row in self.cm]
def col_without(self, x, y):
return [row[x] for i, row in enumerate(self.cm) if i != y]
def block(self, i):
y, x = divmod(i, 3)
return list(flatten(self.cm[3*y+i][3*x:3*x+3] for i in range(3)))
def block_without(self, x, y):
bx3, by3 = x // 3 * 3, y // 3 * 3
return list(self.cm[by3+i][bx3+j] for i in range(3) for j in range(3)
if by3+i != y or bx3+j != x)
def unit(self, unit_type, i):
units = {
'row': self.row,
'column': self.col,
'block': self.block}
return units[unit_type](i)
def unit_without(self, unit_type, x, y):
units_without = {
'row': self.row_without,
'column': self.col_without,
'block': self.block_without}
return units_without[unit_type](x, y)
def seen_from(self, x, y):
row = self.row_without(x, y)
col = self.col_without(x, y)
block = self.block_without(x, y)
return set(row + col + block)
def cell_block(self, x, y):
return self.block(y // 3 * 3 + x // 3)
def cell(self, x, y):
return self.cm[y][x]
def row_name(self, y):
return Cell.ROWS[y]
def col_name(self, x):
return Cell.COLS[x]
def block_name(self, i):
return Cell.BLOCKS[i]
def unit_name(self, unit_type, i):
unit_names = {
'row': self.row_name,
'column': self.col_name,
'block': self.block_name}
return unit_names[unit_type](i)
def solved(self):
return all(c.solved() for c in self.cells())
def num_solved(self):
return len([c for c in self.cells() if c.solved()])
def solve(self, max_difficulty=None, exclude=None, include_only=None, verbose=False):
"""Try to solve any unsolved cells with all registered strategies."""
if verbose:
print(self.terse_str())
if verbose:
print('Solving:', self.code_str())
num_solved = self.num_solved()
difficulty = 0
last_difficulty = -1
while last_difficulty:
last_difficulty = self._solve_strategies(max_difficulty, exclude, include_only, verbose)
difficulty = max(difficulty, last_difficulty)
if verbose:
print('Completely solved!' if self.solved() else '...Cannot solve further',
'(solved %d cells)' % (self.num_solved() - num_solved))
print('Most advanced strategy used:', self.strategies[difficulty].name)
print('Solved:', self.code_str())
print(self)
return self.strategies[difficulty].name
def _solve_strategies(self, max_difficulty=None, exclude=None, include_only=None, verbose=False):
"""Try all registered strategies in order of increasing difficulty."""
if self.solved():
return 0
for difficulty, strategy in sorted(self.strategies.items()):
if ((max_difficulty is not None and difficulty > max_difficulty) or
(exclude is not None and difficulty in exclude) or
(include_only is not None and difficulty not in include_only)):
continue
if strategy.function(self, verbose):
return difficulty
return 0
| 35.162602 | 98 | 0.536879 | 1,749 | 8,650 | 2.609491 | 0.096055 | 0.346626 | 0.50745 | 0.659947 | 0.307625 | 0.260736 | 0.256792 | 0.256792 | 0.231814 | 0.231814 | 0 | 0.009647 | 0.22104 | 8,650 | 245 | 99 | 35.306122 | 0.667706 | 0.03422 | 0 | 0.17561 | 0 | 0.17561 | 0.387015 | 0.032641 | 0 | 0 | 0 | 0 | 0 | 1 | 0.15122 | false | 0 | 0.034146 | 0.082927 | 0.356098 | 0.043902 | 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 |
21f3eb917a7fe5419c3bebc125b7b3d54ac6bcd3 | 633 | py | Python | casepro/profiles/models.py | praekelt/helpdesk | 69a7242679c30d2f7cb30a433809e738b9756a3c | [
"BSD-3-Clause"
] | null | null | null | casepro/profiles/models.py | praekelt/helpdesk | 69a7242679c30d2f7cb30a433809e738b9756a3c | [
"BSD-3-Clause"
] | null | null | null | casepro/profiles/models.py | praekelt/helpdesk | 69a7242679c30d2f7cb30a433809e738b9756a3c | [
"BSD-3-Clause"
] | null | null | null | from __future__ import absolute_import, unicode_literals
from django.contrib.auth.models import User
from django.db import models
from django.utils.translation import ugettext_lazy as _
from casepro.cases.models import Partner
class Profile(models.Model):
"""
Extension for the user class
"""
user = models.OneToOneField(User)
partner = models.ForeignKey(Partner, null=True, related_name='user_profiles')
full_name = models.CharField(verbose_name=_("Full name"), max_length=128, null=True)
change_password = models.BooleanField(default=False, help_text=_("User must change password on next login"))
| 31.65 | 112 | 0.767773 | 84 | 633 | 5.583333 | 0.595238 | 0.063966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.005525 | 0.14218 | 633 | 19 | 113 | 33.315789 | 0.858195 | 0.044234 | 0 | 0 | 0 | 0 | 0.103565 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.1 | 0.5 | 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 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 3 |
1d011029f0027ca57a60b4fdb462f2a827799b63 | 74 | bzl | Python | src/main/kotlin/nl/tulipsolutions/keyderivation/deps.bzl | TulipSolutions/bitcoin-tools | 1a78849d243d2e2834eb2c80276863ed5746f6c8 | [
"Apache-2.0"
] | null | null | null | src/main/kotlin/nl/tulipsolutions/keyderivation/deps.bzl | TulipSolutions/bitcoin-tools | 1a78849d243d2e2834eb2c80276863ed5746f6c8 | [
"Apache-2.0"
] | null | null | null | src/main/kotlin/nl/tulipsolutions/keyderivation/deps.bzl | TulipSolutions/bitcoin-tools | 1a78849d243d2e2834eb2c80276863ed5746f6c8 | [
"Apache-2.0"
] | null | null | null | KEYDERIVATION_ARTIFACTS = [
"org.bouncycastle:bcprov-jdk15on:1.64",
]
| 18.5 | 43 | 0.72973 | 8 | 74 | 6.625 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.076923 | 0.121622 | 74 | 3 | 44 | 24.666667 | 0.738462 | 0 | 0 | 0 | 0 | 0 | 0.486486 | 0.486486 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1d03a637d6ea0605fc1d459f9aef0c352e6eb042 | 737 | py | Python | esl/simulation/entity.py | fagan2888/ESL | 24ffa903e8c5b9e725eed9861623d4b6a4a205a2 | [
"Apache-2.0"
] | 1 | 2020-04-17T18:18:08.000Z | 2020-04-17T18:18:08.000Z | esl/simulation/entity.py | fagan2888/ESL | 24ffa903e8c5b9e725eed9861623d4b6a4a205a2 | [
"Apache-2.0"
] | null | null | null | esl/simulation/entity.py | fagan2888/ESL | 24ffa903e8c5b9e725eed9861623d4b6a4a205a2 | [
"Apache-2.0"
] | null | null | null | from typing import List, TypeVar, Generic
from esl.simulation.identity import Identity
class Entity():#Generic[E]):
__slots__ = ["identifier", "children"]
identifier: Identity#[E]
children: Identity.Digit#[E].Digit
def __init__(self, identifier: Identity = Identity()):
self.identifier = identifier
self.children = 0
def __eq__(self, other: 'Entity'):
return self.identifier.__eq__(other.identifier)
def __ne__(self, other: 'Entity'):
return self.identifier.__ne__(other.identifier)
def __hash__(self):
return self.identifier.__hash__()
def __repr__(self):
return f"Entity[E] {self.identifier}"
def __str__(self):
return self.__repr__() | 26.321429 | 58 | 0.666214 | 83 | 737 | 5.385542 | 0.337349 | 0.187919 | 0.134228 | 0.09396 | 0.1566 | 0.1566 | 0 | 0 | 0 | 0 | 0 | 0.001724 | 0.213026 | 737 | 28 | 59 | 26.321429 | 0.768966 | 0.032564 | 0 | 0 | 0 | 0 | 0.080169 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0 | 0.105263 | 0.263158 | 0.894737 | 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 |
1d08fcec9ab16e44922b06fdb2f2a22af020eed8 | 496 | py | Python | EXAMPLES/Generator [Yield]/return_example.py | nkpydev/Python-Learning | e571a6890f750aafde49d24d00cc57c52419b61a | [
"MIT"
] | null | null | null | EXAMPLES/Generator [Yield]/return_example.py | nkpydev/Python-Learning | e571a6890f750aafde49d24d00cc57c52419b61a | [
"MIT"
] | null | null | null | EXAMPLES/Generator [Yield]/return_example.py | nkpydev/Python-Learning | e571a6890f750aafde49d24d00cc57c52419b61a | [
"MIT"
] | null | null | null | #-----------------------------------------------------------------#
#! Python3
# Author : NK
# Month, Year : March, 2019
# Info : Program to get Squares of numbers upto 25, using return
# Desc : An example program to show usage of return
#-----------------------------------------------------------------#
def nextSquare(x):
return x*x
def main():
for x in range(25):
print(nextSquare(x))
if __name__ == '__main__':
main() | 29.176471 | 77 | 0.405242 | 47 | 496 | 4.106383 | 0.702128 | 0.093264 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.02439 | 0.256048 | 496 | 17 | 78 | 29.176471 | 0.498645 | 0.671371 | 0 | 0 | 0 | 0 | 0.051613 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0 | 0.142857 | 0.428571 | 0.142857 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 |
0dff7e31184db53a05f8d08fac2443533fb9a275 | 175 | py | Python | tests/roots/test-add_source_parser/source_parser.py | sephalon/sphinx | c892fe98f7a311dc51340f8d98e63d9790b7f820 | [
"BSD-2-Clause"
] | 1 | 2021-11-06T17:09:04.000Z | 2021-11-06T17:09:04.000Z | tests/roots/test-add_source_parser/source_parser.py | sephalon/sphinx | c892fe98f7a311dc51340f8d98e63d9790b7f820 | [
"BSD-2-Clause"
] | 1 | 2017-07-15T22:46:50.000Z | 2017-07-15T22:46:50.000Z | tests/roots/test-add_source_parser/source_parser.py | sephalon/sphinx | c892fe98f7a311dc51340f8d98e63d9790b7f820 | [
"BSD-2-Clause"
] | 1 | 2021-11-06T17:08:54.000Z | 2021-11-06T17:08:54.000Z | # -*- coding: utf-8 -*-
from docutils.parsers import Parser
class TestSourceParser(Parser):
pass
def setup(app):
app.add_source_parser('.test', TestSourceParser)
| 14.583333 | 52 | 0.702857 | 21 | 175 | 5.761905 | 0.809524 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.006849 | 0.165714 | 175 | 11 | 53 | 15.909091 | 0.821918 | 0.12 | 0 | 0 | 0 | 0 | 0.032895 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.2 | false | 0.2 | 0.2 | 0 | 0.6 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 |
df053021daeb4f423d824f9ece49d1dc9d864d19 | 1,171 | py | Python | pygl/grid.py | andreevnick/robust-financial-portfolio-management-framework | 9450a00c8d0e78a621afc08f29b17e20fbcb3592 | [
"Apache-2.0",
"MIT"
] | 1 | 2021-10-30T14:06:59.000Z | 2021-10-30T14:06:59.000Z | pygl/grid.py | doctormee/robust-fpm-cmc-msu-edu-2021 | 9450a00c8d0e78a621afc08f29b17e20fbcb3592 | [
"Apache-2.0",
"MIT"
] | 5 | 2021-04-18T14:03:17.000Z | 2021-05-15T10:42:05.000Z | pygl/grid.py | doctormee/robust-fpm-cmc-msu-edu-2021 | 9450a00c8d0e78a621afc08f29b17e20fbcb3592 | [
"Apache-2.0",
"MIT"
] | 1 | 2021-04-18T14:03:43.000Z | 2021-04-18T14:03:43.000Z | import numpy as np
from .util import coalesce
__all__ = ['Grid']
class Grid:
def __init__(self, delta, logscale=False, center=None, dtype=None, dtype_p=None):
self.dtype = coalesce(dtype, np.float64)
self.dtype_p = coalesce(dtype_p, np.int64)
self.delta = np.asarray(delta, dtype=self.dtype)
self.logscale = logscale
self.center = np.asarray(coalesce(center, self.delta*0), dtype=self.dtype)
def x_trans(self, x):
return x if self.logscale == False else np.log(x)
def x_trans_inv(self, x):
return x if self.logscale == False else np.exp(x)
def get_projection(self, obj, **kwargs):
# obj is an array of coordinates
return self.get_point(obj)
def get_point(self, x):
x = self.x_trans(np.asarray(x, dtype=self.dtype))
return np.rint((x - self.center)/self.delta).astype(self.dtype_p)
def map2x(self, point):
return self.x_trans_inv(point * self.delta + self.center)
| 24.914894 | 85 | 0.550811 | 151 | 1,171 | 4.13245 | 0.298013 | 0.086538 | 0.067308 | 0.038462 | 0.11859 | 0.11859 | 0.11859 | 0.11859 | 0.11859 | 0.11859 | 0 | 0.007813 | 0.34415 | 1,171 | 47 | 86 | 24.914894 | 0.804688 | 0.025619 | 0 | 0 | 0 | 0 | 0.003509 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.285714 | false | 0 | 0.095238 | 0.190476 | 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 | 0 | 0 | 1 | 1 | 0 | 0 | 3 |
df208397d6f78277ea06be9554421d3136521236 | 5,926 | py | Python | sdk/python/pulumi_aws_native/ec2/get_transit_gateway_multicast_domain.py | pulumi/pulumi-aws-native | 1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3 | [
"Apache-2.0"
] | 29 | 2021-09-30T19:32:07.000Z | 2022-03-22T21:06:08.000Z | sdk/python/pulumi_aws_native/ec2/get_transit_gateway_multicast_domain.py | pulumi/pulumi-aws-native | 1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3 | [
"Apache-2.0"
] | 232 | 2021-09-30T19:26:26.000Z | 2022-03-31T23:22:06.000Z | sdk/python/pulumi_aws_native/ec2/get_transit_gateway_multicast_domain.py | pulumi/pulumi-aws-native | 1ae4a4d9c2256b2a79ca536f8d8497b28d10e4c3 | [
"Apache-2.0"
] | 4 | 2021-11-10T19:42:01.000Z | 2022-02-05T10:15:49.000Z | # coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from . import outputs
__all__ = [
'GetTransitGatewayMulticastDomainResult',
'AwaitableGetTransitGatewayMulticastDomainResult',
'get_transit_gateway_multicast_domain',
'get_transit_gateway_multicast_domain_output',
]
@pulumi.output_type
class GetTransitGatewayMulticastDomainResult:
def __init__(__self__, creation_time=None, options=None, state=None, tags=None, transit_gateway_multicast_domain_arn=None, transit_gateway_multicast_domain_id=None):
if creation_time and not isinstance(creation_time, str):
raise TypeError("Expected argument 'creation_time' to be a str")
pulumi.set(__self__, "creation_time", creation_time)
if options and not isinstance(options, dict):
raise TypeError("Expected argument 'options' to be a dict")
pulumi.set(__self__, "options", options)
if state and not isinstance(state, str):
raise TypeError("Expected argument 'state' to be a str")
pulumi.set(__self__, "state", state)
if tags and not isinstance(tags, list):
raise TypeError("Expected argument 'tags' to be a list")
pulumi.set(__self__, "tags", tags)
if transit_gateway_multicast_domain_arn and not isinstance(transit_gateway_multicast_domain_arn, str):
raise TypeError("Expected argument 'transit_gateway_multicast_domain_arn' to be a str")
pulumi.set(__self__, "transit_gateway_multicast_domain_arn", transit_gateway_multicast_domain_arn)
if transit_gateway_multicast_domain_id and not isinstance(transit_gateway_multicast_domain_id, str):
raise TypeError("Expected argument 'transit_gateway_multicast_domain_id' to be a str")
pulumi.set(__self__, "transit_gateway_multicast_domain_id", transit_gateway_multicast_domain_id)
@property
@pulumi.getter(name="creationTime")
def creation_time(self) -> Optional[str]:
"""
The time the transit gateway multicast domain was created.
"""
return pulumi.get(self, "creation_time")
@property
@pulumi.getter
def options(self) -> Optional['outputs.OptionsProperties']:
"""
The options for the transit gateway multicast domain.
"""
return pulumi.get(self, "options")
@property
@pulumi.getter
def state(self) -> Optional[str]:
"""
The state of the transit gateway multicast domain.
"""
return pulumi.get(self, "state")
@property
@pulumi.getter
def tags(self) -> Optional[Sequence['outputs.TransitGatewayMulticastDomainTag']]:
"""
The tags for the transit gateway multicast domain.
"""
return pulumi.get(self, "tags")
@property
@pulumi.getter(name="transitGatewayMulticastDomainArn")
def transit_gateway_multicast_domain_arn(self) -> Optional[str]:
"""
The Amazon Resource Name (ARN) of the transit gateway multicast domain.
"""
return pulumi.get(self, "transit_gateway_multicast_domain_arn")
@property
@pulumi.getter(name="transitGatewayMulticastDomainId")
def transit_gateway_multicast_domain_id(self) -> Optional[str]:
"""
The ID of the transit gateway multicast domain.
"""
return pulumi.get(self, "transit_gateway_multicast_domain_id")
class AwaitableGetTransitGatewayMulticastDomainResult(GetTransitGatewayMulticastDomainResult):
# pylint: disable=using-constant-test
def __await__(self):
if False:
yield self
return GetTransitGatewayMulticastDomainResult(
creation_time=self.creation_time,
options=self.options,
state=self.state,
tags=self.tags,
transit_gateway_multicast_domain_arn=self.transit_gateway_multicast_domain_arn,
transit_gateway_multicast_domain_id=self.transit_gateway_multicast_domain_id)
def get_transit_gateway_multicast_domain(transit_gateway_multicast_domain_id: Optional[str] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> AwaitableGetTransitGatewayMulticastDomainResult:
"""
The AWS::EC2::TransitGatewayMulticastDomain type
:param str transit_gateway_multicast_domain_id: The ID of the transit gateway multicast domain.
"""
__args__ = dict()
__args__['transitGatewayMulticastDomainId'] = transit_gateway_multicast_domain_id
if opts is None:
opts = pulumi.InvokeOptions()
if opts.version is None:
opts.version = _utilities.get_version()
__ret__ = pulumi.runtime.invoke('aws-native:ec2:getTransitGatewayMulticastDomain', __args__, opts=opts, typ=GetTransitGatewayMulticastDomainResult).value
return AwaitableGetTransitGatewayMulticastDomainResult(
creation_time=__ret__.creation_time,
options=__ret__.options,
state=__ret__.state,
tags=__ret__.tags,
transit_gateway_multicast_domain_arn=__ret__.transit_gateway_multicast_domain_arn,
transit_gateway_multicast_domain_id=__ret__.transit_gateway_multicast_domain_id)
@_utilities.lift_output_func(get_transit_gateway_multicast_domain)
def get_transit_gateway_multicast_domain_output(transit_gateway_multicast_domain_id: Optional[pulumi.Input[str]] = None,
opts: Optional[pulumi.InvokeOptions] = None) -> pulumi.Output[GetTransitGatewayMulticastDomainResult]:
"""
The AWS::EC2::TransitGatewayMulticastDomain type
:param str transit_gateway_multicast_domain_id: The ID of the transit gateway multicast domain.
"""
...
| 42.633094 | 169 | 0.716672 | 646 | 5,926 | 6.20743 | 0.176471 | 0.146633 | 0.240898 | 0.303741 | 0.490524 | 0.386284 | 0.292269 | 0.238404 | 0.237157 | 0.206234 | 0 | 0.000846 | 0.201822 | 5,926 | 138 | 170 | 42.942029 | 0.846934 | 0.139555 | 0 | 0.102273 | 1 | 0 | 0.178085 | 0.119333 | 0 | 0 | 0 | 0 | 0 | 1 | 0.113636 | false | 0 | 0.068182 | 0 | 0.295455 | 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 |
df208a63a9af272793b6ab835cfd826c19f14586 | 224 | py | Python | While/While2.py | liyuanyuan11/Python | d94cc7ab39e56c6e24bfc741a30da77590d1d220 | [
"MIT"
] | null | null | null | While/While2.py | liyuanyuan11/Python | d94cc7ab39e56c6e24bfc741a30da77590d1d220 | [
"MIT"
] | null | null | null | While/While2.py | liyuanyuan11/Python | d94cc7ab39e56c6e24bfc741a30da77590d1d220 | [
"MIT"
] | null | null | null | name=input("Please input my daughter's name:")
while name!="Nina" and name!="Anime":
print("I'm sorry, but the name is not valid.")
name=input("Please input my daughter's name:")
print("Yes."+name+"is my daughter.")
| 37.333333 | 50 | 0.674107 | 38 | 224 | 3.973684 | 0.526316 | 0.198676 | 0.198676 | 0.264901 | 0.463576 | 0.463576 | 0.463576 | 0.463576 | 0 | 0 | 0 | 0 | 0.147321 | 224 | 5 | 51 | 44.8 | 0.790576 | 0 | 0 | 0.4 | 0 | 0 | 0.575893 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.4 | 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 |
df235e8fe3be4e23a350204599e3a479a24f361d | 801 | py | Python | utils/middleware/globalrequestmiddleware.py | pwqbot/eoj3 | 46be6a6f192798e74eab7b327bb8df7ca73575d9 | [
"MIT"
] | 107 | 2017-03-15T11:53:45.000Z | 2019-09-06T11:23:44.000Z | utils/middleware/globalrequestmiddleware.py | OS-EDU/eoj3 | f117dcd4e3cea7d150c3e3794e7255e00d486c88 | [
"MIT"
] | 27 | 2019-09-24T12:44:48.000Z | 2022-03-11T23:18:21.000Z | utils/middleware/globalrequestmiddleware.py | OS-EDU/eoj3 | f117dcd4e3cea7d150c3e3794e7255e00d486c88 | [
"MIT"
] | 25 | 2019-10-11T10:39:12.000Z | 2022-03-18T05:15:57.000Z | import threading
class GlobalRequestMiddleware(object):
_threadmap = {}
def __init__(self, get_response):
self.get_response = get_response
def __call__(self, request):
self.process_request(request)
response = self.get_response(request)
return self.process_response(request, response)
@classmethod
def get_current_request(cls):
return cls._threadmap[threading.get_ident()]
def process_request(self, request):
self._threadmap[threading.get_ident()] = request
def process_exception(self, request, exception):
try:
del self._threadmap[threading.get_ident()]
except KeyError:
pass
def process_response(self, request, response):
try:
del self._threadmap[threading.get_ident()]
except KeyError:
pass
return response
| 23.558824 | 52 | 0.722846 | 92 | 801 | 5.98913 | 0.271739 | 0.079855 | 0.15245 | 0.188748 | 0.250454 | 0.196007 | 0.196007 | 0.196007 | 0.196007 | 0.196007 | 0 | 0 | 0.184769 | 801 | 33 | 53 | 24.272727 | 0.843798 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.24 | false | 0.08 | 0.04 | 0.04 | 0.48 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
df486600be7faa70d817e9e4dbf08dfebc37cf4f | 628 | py | Python | apps/core/account/management/commands/set_default_db.py | GMNaim/Online-Exam-System | ed1e18cf0c0fa7f896bde261988982b49825e61f | [
"MIT"
] | null | null | null | apps/core/account/management/commands/set_default_db.py | GMNaim/Online-Exam-System | ed1e18cf0c0fa7f896bde261988982b49825e61f | [
"MIT"
] | null | null | null | apps/core/account/management/commands/set_default_db.py | GMNaim/Online-Exam-System | ed1e18cf0c0fa7f896bde261988982b49825e61f | [
"MIT"
] | null | null | null | from django.core.management.base import BaseCommand
from django.core.management import call_command
class Command(BaseCommand):
help = 'Set all default models objects to setup default db.'
def handle(self, *args, **kwargs):
print('[+] Resource: ', end='')
call_command('loaddata', 'import_sql/resource.json')
print('[+] Permission: ', end='')
call_command('loaddata', 'import_sql/permission.json')
print('[+] Role: ', end='')
call_command('loaddata', 'import_sql/role.json')
print('[+] User: ', end='')
call_command('loaddata', 'import_sql/user.json')
| 34.888889 | 64 | 0.63535 | 72 | 628 | 5.416667 | 0.458333 | 0.141026 | 0.14359 | 0.225641 | 0.317949 | 0.317949 | 0 | 0 | 0 | 0 | 0 | 0 | 0.199045 | 628 | 17 | 65 | 36.941176 | 0.775348 | 0 | 0 | 0 | 0 | 0 | 0.355662 | 0.079745 | 0 | 0 | 0 | 0 | 0 | 1 | 0.076923 | false | 0 | 0.461538 | 0 | 0.692308 | 0.307692 | 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 |
df66703db6fd7e4f83cfb9aadc3e08c228c6e3ef | 2,022 | py | Python | mongodbatlas/atlasresource.py | ozlevka-work/MongoDB-Atlas-API | 781221653ea3956243c03670ab50a5308390a76f | [
"Apache-2.0"
] | null | null | null | mongodbatlas/atlasresource.py | ozlevka-work/MongoDB-Atlas-API | 781221653ea3956243c03670ab50a5308390a76f | [
"Apache-2.0"
] | null | null | null | mongodbatlas/atlasresource.py | ozlevka-work/MongoDB-Atlas-API | 781221653ea3956243c03670ab50a5308390a76f | [
"Apache-2.0"
] | null | null | null | import pprint
import random
import string
import json
from datetime import datetime
from dateutil import parser
from mongodbatlas.outputformat import OutputFormat
def json_datetime_encoder(item:datetime):
return str(item)
class AtlasResource:
"""
Base class for Atlas Resources
"""
def __init__(self, resource:dict=None):
if resource:
self._resource = resource
if "created" in self._resource: # convert date string to datetime obj
self._resource["created"] = parser.parse(self._resource["created"])
else:
self._resource = {}
@property
def timestamp(self):
return self._timestamp
@property
def id(self):
return self._resource["id"]
@property
def resource(self):
return self._resource
@property
def name(self):
return self._resource["name"]
@name.setter
def name(self, new_name):
self._resource["name"] = new_name
@property
def resource(self):
return self._resource
@resource.setter
def resource(self, item):
self._resource = item
@staticmethod
def iter_print(iter, func, format):
for i in iter:
func(i).print_resource(format)
def pprint(self, fmt=OutputFormat.SUMMARY):
if fmt is OutputFormat.SUMMARY:
print(self.summary_string())
elif fmt is OutputFormat.PYTHON:
pprint.pprint(self._resource, indent=2)
elif fmt is OutputFormat.JSON:
print(json.dumps(self._resource, indent=2, default=json_datetime_encoder))
# def __call__(self):
# return self._resource
@staticmethod
def random_name():
return ''.join(random.choices(string.ascii_uppercase + string.digits, k=10))
def __str__(self):
return f"{pprint.pformat(self._resource)}"
def __repr__(self):
res=f"{pprint.pformat(self._resource, width=40)}"
return f"{self.__class__.__name__}(resource={res})"
| 24.361446 | 86 | 0.638971 | 234 | 2,022 | 5.299145 | 0.303419 | 0.164516 | 0.067742 | 0.08871 | 0.108065 | 0.066129 | 0.066129 | 0 | 0 | 0 | 0 | 0.004011 | 0.260138 | 2,022 | 82 | 87 | 24.658537 | 0.824866 | 0.055885 | 0 | 0.192982 | 0 | 0 | 0.077208 | 0.054997 | 0 | 0 | 0 | 0 | 0 | 1 | 0.245614 | false | 0 | 0.122807 | 0.140351 | 0.54386 | 0.157895 | 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 |
df6eef552fa665a22aaeb2ff7fbb0a497b62dda4 | 245 | wsgi | Python | web/zagg/zagg.wsgi | fahlmant/openshift-tools | dbb4f16ccde3404c36c23108c45ca7b67138ee12 | [
"Apache-2.0"
] | 164 | 2015-07-29T17:35:04.000Z | 2021-12-16T16:38:04.000Z | web/zagg/zagg.wsgi | fahlmant/openshift-tools | dbb4f16ccde3404c36c23108c45ca7b67138ee12 | [
"Apache-2.0"
] | 3,634 | 2015-06-09T13:49:15.000Z | 2022-03-23T20:55:44.000Z | web/zagg/zagg.wsgi | fahlmant/openshift-tools | dbb4f16ccde3404c36c23108c45ca7b67138ee12 | [
"Apache-2.0"
] | 250 | 2015-06-08T19:53:11.000Z | 2022-03-01T04:51:23.000Z | # Force location of zagg-web handler into path
import sys
sys.path.insert(0, '/var/www/zagg')
from zagg import flask_app as application
# Allow logging/errors to show up in Apache logs
import logging, sys
logging.basicConfig(stream=sys.stderr)
| 27.222222 | 48 | 0.787755 | 41 | 245 | 4.682927 | 0.756098 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.004695 | 0.130612 | 245 | 8 | 49 | 30.625 | 0.896714 | 0.371429 | 0 | 0 | 0 | 0 | 0.086093 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
df70971d0fc42528b0d4cf44482d55e3bcdfb772 | 2,977 | py | Python | setup.py | goetzk/python-nectarallocationclient | 383165bdaa6e38a13b63398ae7099e94df68efcd | [
"Apache-2.0"
] | null | null | null | setup.py | goetzk/python-nectarallocationclient | 383165bdaa6e38a13b63398ae7099e94df68efcd | [
"Apache-2.0"
] | null | null | null | setup.py | goetzk/python-nectarallocationclient | 383165bdaa6e38a13b63398ae7099e94df68efcd | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
try: # for pip >= 10
from pip._internal.req import parse_requirements
except ImportError: # for pip <= 9.0.3
from pip.req import parse_requirements
requirements = parse_requirements("requirements.txt", session=False)
entry_points = {
'openstack.cli.extension':
['allocation = nectarallocationclient.osc.plugin',],
'openstack.allocation.v1':
[
'allocation list = nectarallocationclient.osc.v1.allocations:ListAllocations',
'allocation show = nectarallocationclient.osc.v1.allocations:ShowAllocation',
'allocation amend = nectarallocationclient.osc.v1.allocations:AmendAllocation',
'allocation approve = nectarallocationclient.osc.v1.allocations:ApproveAllocation',
'allocation history = nectarallocationclient.osc.v1.allocations:AllocationHistory',
'allocation create = nectarallocationclient.osc.v1.allocations:CreateAllocation',
'allocation set = nectarallocationclient.osc.v1.allocations:UpdateAllocation',
'allocation zone list = nectarallocationclient.osc.v1.zones:ListZones',
'allocation zone show = nectarallocationclient.osc.v1.zones:ShowZone',
'allocation zone compute-homes = nectarallocationclient.osc.v1.zones:ListComputeHomes',
'allocation service-type list = nectarallocationclient.osc.v1.service_types:ListServiceTypes',
'allocation service-type show = nectarallocationclient.osc.v1.service_types:ShowServiceType',
'allocation quota list = nectarallocationclient.osc.v1.quotas:ListQuotas',
'allocation quota history = nectarallocationclient.osc.v1.quotas:QuotaHistory',
'allocation resource list = nectarallocationclient.osc.v1.resources:ListResources',
'allocation resource show = nectarallocationclient.osc.v1.resources:ShowResource',
'allocation grant list = nectarallocationclient.osc.v1.grants:ListGrants',
'allocation grant show = nectarallocationclient.osc.v1.grants:ShowGrant',
]
}
setup(
name='nectarallocationclient',
version='0.7.0',
description=('Client for the Nectar Allocation system'),
author='Sam Morrison',
author_email='sorrison@gmail.com',
url='https://github.com/NeCTAR-RC/python-nectarallocationclient',
packages=[
'nectarallocationclient',
],
include_package_data=True,
install_requires=[str(r.req) for r in requirements],
license="Apache",
zip_safe=False,
classifiers=(
'License :: OSI Approved :: Apache Software License',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Operating System :: OS Independent',
),
entry_points=entry_points,
)
| 43.144928 | 102 | 0.715821 | 292 | 2,977 | 7.25 | 0.421233 | 0.224374 | 0.22957 | 0.12565 | 0.036845 | 0 | 0 | 0 | 0 | 0 | 0 | 0.014646 | 0.174337 | 2,977 | 68 | 103 | 43.779412 | 0.846623 | 0.024521 | 0 | 0.067797 | 0 | 0 | 0.668966 | 0.372759 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.101695 | 0 | 0.101695 | 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 | 1 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
10bfbb168ab5bde6d22553a17d54719ac2702563 | 263 | py | Python | kolibri/core/tasks/exceptions.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 545 | 2016-01-19T19:26:55.000Z | 2022-03-20T00:13:04.000Z | kolibri/core/tasks/exceptions.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 8,329 | 2016-01-19T19:32:02.000Z | 2022-03-31T21:23:12.000Z | kolibri/core/tasks/exceptions.py | MBKayro/kolibri | 0a38a5fb665503cf8f848b2f65938e73bfaa5989 | [
"MIT"
] | 493 | 2016-01-19T19:26:48.000Z | 2022-03-28T14:35:05.000Z | from concurrent.futures import CancelledError
class UserCancelledError(CancelledError):
"""
An error raised when the user cancels the current job.
"""
pass
class JobNotFound(Exception):
pass
class JobNotRestartable(Exception):
pass
| 14.611111 | 58 | 0.722433 | 27 | 263 | 7.037037 | 0.740741 | 0.094737 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.212928 | 263 | 17 | 59 | 15.470588 | 0.917874 | 0.205323 | 0 | 0.428571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0.428571 | 0.142857 | 0 | 0.571429 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
10ca30de440dbc442bea680fc768b9006be4f079 | 216 | py | Python | cq/management/commands/cq_clear_logs.py | furious-luke/django-cq | 9e7debc293cd4bfe2ef674e0e44f1c9a8a240df5 | [
"BSD-3-Clause"
] | 31 | 2016-09-16T05:32:43.000Z | 2018-03-08T12:41:30.000Z | cq/management/commands/cq_clear_logs.py | furious-luke/django-cq | 9e7debc293cd4bfe2ef674e0e44f1c9a8a240df5 | [
"BSD-3-Clause"
] | 13 | 2017-01-12T15:04:50.000Z | 2017-12-05T04:41:27.000Z | cq/management/commands/cq_clear_logs.py | furious-luke/django-cq | 9e7debc293cd4bfe2ef674e0e44f1c9a8a240df5 | [
"BSD-3-Clause"
] | 6 | 2016-09-16T05:32:54.000Z | 2017-12-03T18:08:35.000Z | from django.core.management.base import BaseCommand
from cq.tasks import clear_logs
class Command(BaseCommand):
help = 'Clear all logs from REDIS.'
def handle(self, *args, **options):
clear_logs()
| 21.6 | 51 | 0.712963 | 29 | 216 | 5.241379 | 0.724138 | 0.118421 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.189815 | 216 | 9 | 52 | 24 | 0.868571 | 0 | 0 | 0 | 0 | 0 | 0.12037 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.833333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 3 |
10eb411d0070e6fd494578fce087a082caeb0162 | 59 | py | Python | pywakit/__init__.py | y-agg/pywakit | 6eacaf6881418fc5a7c1ebd5c0d1bc0164f3c990 | [
"MIT"
] | 3 | 2020-09-04T07:45:04.000Z | 2021-02-14T01:44:40.000Z | pywakit/__init__.py | y-agg/pywakit | 6eacaf6881418fc5a7c1ebd5c0d1bc0164f3c990 | [
"MIT"
] | null | null | null | pywakit/__init__.py | y-agg/pywakit | 6eacaf6881418fc5a7c1ebd5c0d1bc0164f3c990 | [
"MIT"
] | null | null | null | from pywakit.whatsapp import WhatsApp
__version__ = '0.0.6' | 29.5 | 37 | 0.79661 | 9 | 59 | 4.777778 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.056604 | 0.101695 | 59 | 2 | 38 | 29.5 | 0.754717 | 0 | 0 | 0 | 0 | 0 | 0.083333 | 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 |
8012640a619323c6019672e61062c7ef821e69cd | 223 | py | Python | optimizer.py | mullerpeter/hashcode2022 | a2b36a34d27b001d4be6ee30f0aae9d0ace38ee6 | [
"MIT"
] | null | null | null | optimizer.py | mullerpeter/hashcode2022 | a2b36a34d27b001d4be6ee30f0aae9d0ace38ee6 | [
"MIT"
] | null | null | null | optimizer.py | mullerpeter/hashcode2022 | a2b36a34d27b001d4be6ee30f0aae9d0ace38ee6 | [
"MIT"
] | null | null | null | from dataparser import Data
from tqdm import tqdm
import random
def run_optimisation(data: Data, num_steps=10):
pbar = tqdm(range(num_steps))
for i in pbar:
continue
# TODO: Implement Random Swaps
| 20.272727 | 47 | 0.699552 | 32 | 223 | 4.78125 | 0.65625 | 0.130719 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.011765 | 0.237668 | 223 | 10 | 48 | 22.3 | 0.888235 | 0.125561 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1 | 0 | 1 | 0.142857 | false | 0 | 0.428571 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 3 |
8014cf829d480aa0017b71a091427dbd9664818d | 1,450 | py | Python | fluxcompensator/tests/test_pipeline.py | koepferl/FluxCompensator | 751cac08971845069da8c962bc83459f091ba0f8 | [
"BSD-2-Clause"
] | 9 | 2017-06-22T15:29:01.000Z | 2021-03-24T11:55:41.000Z | fluxcompensator/tests/test_pipeline.py | koepferl/FluxCompensator | 751cac08971845069da8c962bc83459f091ba0f8 | [
"BSD-2-Clause"
] | 1 | 2020-06-16T21:01:51.000Z | 2020-06-16T21:01:51.000Z | fluxcompensator/tests/test_pipeline.py | koepferl/FluxCompensator | 751cac08971845069da8c962bc83459f091ba0f8 | [
"BSD-2-Clause"
] | 5 | 2017-06-22T14:57:24.000Z | 2020-06-14T16:46:44.000Z | import pytest
import numpy as np
import os
from ..database.compact_pipeline import CompactPipeline, IRAC1, IRAC2, IRAC3, IRAC4, MIPS1, MIPS2, MIPS3, PACS1, PACS2, PACS3, SPIRE1, SPIRE2, SPIRE3, GLIMPSE_IRAC1, GLIMPSE_IRAC2, GLIMPSE_IRAC3, GLIMPSE_IRAC4, MIPSGAL_MIPS1, MIPSGAL_MIPS2, HIGAL_PACS1, HIGAL_PACS3, HIGAL_SPIRE1, HIGAL_SPIRE2, HIGAL_SPIRE3, WISESURVEY_WISE1, WISESURVEY_WISE2, WISESURVEY_WISE3, WISESURVEY_WISE4, TWOMASSSURVEY_J, TWOMASSSURVEY_H, TWOMASSSURVEY_K
def test_run():
from fluxcompensator.psf import GaussianPSF
psf_object = GaussianPSF(diameter=350.)
import fluxcompensator.database.missions as filters
filter_object = getattr(filters, 'PACS1_FILTER')
pipe = CompactPipeline(PSF_object=psf_object, PSF_resolution=3., filter_object=filter_object)
def test_run_test_filter():
assert IRAC1.filter_object.waf_0 == 3.550
assert IRAC2.filter_object.waf_0 == 4.493
assert IRAC3.filter_object.waf_0 == 5.731
assert IRAC4.filter_object.waf_0 == 7.872
assert MIPS1.filter_object.waf_0 == 23.68
assert MIPS2.filter_object.waf_0 == 71.42
assert MIPS3.filter_object.waf_0 == 155.9
assert PACS1.filter_object.waf_0 == 70.
assert PACS2.filter_object.waf_0 == 100.
assert PACS3.filter_object.waf_0 == 160.
assert SPIRE1.filter_object.waf_0 == 250.
assert SPIRE2.filter_object.waf_0 == 350.
assert SPIRE3.filter_object.waf_0 == 500.
| 40.277778 | 430 | 0.753103 | 204 | 1,450 | 5.073529 | 0.357843 | 0.185507 | 0.188406 | 0.200966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.085246 | 0.158621 | 1,450 | 35 | 431 | 41.428571 | 0.763115 | 0 | 0 | 0 | 0 | 0 | 0.008276 | 0 | 0 | 0 | 0 | 0 | 0.541667 | 1 | 0.083333 | false | 0 | 0.25 | 0 | 0.333333 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
33879b0382df18d933b17711b9d4d5d2dd0f346f | 145 | py | Python | src/apiCall/urls.py | Akash16s/youtube-video-fetch-api | a662a089c33efd0f7454f7e34b4f291ffdc8a9ff | [
"Apache-2.0"
] | 1 | 2021-11-14T10:30:16.000Z | 2021-11-14T10:30:16.000Z | src/apiCall/urls.py | Akash16s/youtube-video-fetch-api | a662a089c33efd0f7454f7e34b4f291ffdc8a9ff | [
"Apache-2.0"
] | 5 | 2021-03-30T13:22:16.000Z | 2021-09-22T18:57:04.000Z | src/apiCall/urls.py | Akash16s/youtube-video-fetch-api | a662a089c33efd0f7454f7e34b4f291ffdc8a9ff | [
"Apache-2.0"
] | 2 | 2020-09-04T04:35:35.000Z | 2021-12-19T15:56:21.000Z | from django.urls import path
from .views import *
urlpatterns = [
path("youtube/", getYoutubeDetails.as_view(), name="baseline Upload"),
] | 29 | 74 | 0.710345 | 17 | 145 | 6 | 0.823529 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.151724 | 145 | 5 | 75 | 29 | 0.829268 | 0 | 0 | 0 | 0 | 0 | 0.161972 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 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 |
33b974c613e670f81b154def7d425e812740f118 | 984 | py | Python | amr2seq/span.py | masterkeywikz/seq2graph | 745cb09f10c67a77c0ef517f5d58ac45f2ade09d | [
"MIT"
] | 10 | 2017-02-25T17:26:15.000Z | 2022-02-23T06:36:54.000Z | amr2seq/span.py | masterkeywikz/seq2graph | 745cb09f10c67a77c0ef517f5d58ac45f2ade09d | [
"MIT"
] | null | null | null | amr2seq/span.py | masterkeywikz/seq2graph | 745cb09f10c67a77c0ef517f5d58ac45f2ade09d | [
"MIT"
] | 8 | 2016-12-22T00:36:33.000Z | 2021-05-19T17:55:59.000Z |
"""
sentence span mapping to special concepts in amr like name,date-entity,etc.
"""
class Span(object):
def __init__(self,start,end,words,entity_tag):
self.start = start
self.end = end
self.entity_tag = entity_tag
self.words = words
def set_entity_tag(self,entity_tag):
self.entity_tag = entity_tag
def __str__(self):
return '%s: start: %s, end: %s , tag:%s'%(self.__class__.__name__,self.start,self.end,self.entity_tag)
def __repr__(self):
return '%s: start: %s, end: %s , tag:%s'%(self.__class__.__name__,self.start,self.end,self.entity_tag)
def __eq__(self,other):
return other.start == self.start and other.end == self.end
def contains(self,other_span):
if other_span.start >= self.start and other_span.end <= self.end and not (other_span.start == self.start and other_span.end == self.end):
return True
else:
return False
| 30.75 | 145 | 0.628049 | 141 | 984 | 4.049645 | 0.255319 | 0.141856 | 0.113835 | 0.084063 | 0.556918 | 0.402802 | 0.402802 | 0.402802 | 0.402802 | 0.402802 | 0 | 0 | 0.247967 | 984 | 31 | 146 | 31.741935 | 0.771622 | 0.07622 | 0 | 0.210526 | 0 | 0 | 0.068889 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0 | 0 | 0.157895 | 0.631579 | 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 |
33bdde4618568109b24c6a025dc322a1c25518cb | 39 | py | Python | azure-kusto-ingest/azure/kusto/ingest/_version.py | yaniv-ms/azure-kusto-python | b1c323c3c5b264725cede98d6f9b3ad0eb0e993d | [
"MIT"
] | null | null | null | azure-kusto-ingest/azure/kusto/ingest/_version.py | yaniv-ms/azure-kusto-python | b1c323c3c5b264725cede98d6f9b3ad0eb0e993d | [
"MIT"
] | null | null | null | azure-kusto-ingest/azure/kusto/ingest/_version.py | yaniv-ms/azure-kusto-python | b1c323c3c5b264725cede98d6f9b3ad0eb0e993d | [
"MIT"
] | null | null | null | """Version file."""
VERSION = "0.0.21"
| 13 | 19 | 0.564103 | 6 | 39 | 3.666667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.117647 | 0.128205 | 39 | 2 | 20 | 19.5 | 0.529412 | 0.333333 | 0 | 0 | 0 | 0 | 0.3 | 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 |
1d1c12689f11c5a9358989b6bd9fa886df8f2d9d | 498 | py | Python | test/unit/tool_util/mulled/test_mulled_build.py | corburn/galaxy | 850d483bf260cba969ddb21de2f5404c15e09d1c | [
"CC-BY-3.0"
] | 2 | 2017-03-28T12:11:41.000Z | 2017-04-22T02:58:25.000Z | test/unit/tool_util/mulled/test_mulled_build.py | bioinfo1992/galaxy | 46690eb76f3a1987ea2ac5ff0d3386177cf2154f | [
"CC-BY-3.0"
] | 1 | 2019-08-19T15:24:17.000Z | 2019-08-19T15:24:17.000Z | test/unit/tool_util/mulled/test_mulled_build.py | bioinfo1992/galaxy | 46690eb76f3a1987ea2ac5ff0d3386177cf2154f | [
"CC-BY-3.0"
] | null | null | null | import pytest
from galaxy.tool_util.deps.mulled.mulled_build import (
any_target_requires_extended_base,
build_target,
)
from ..util import external_dependency_management
@pytest.mark.parametrize("target,requires_extended", [
('maker', True),
('samtools', False)
])
@external_dependency_management
def test_any_target_requires_extended_base(target, requires_extended):
target = build_target(target)
assert any_target_requires_extended_base([target]) == requires_extended
| 27.666667 | 75 | 0.791165 | 60 | 498 | 6.166667 | 0.433333 | 0.227027 | 0.356757 | 0.202703 | 0.354054 | 0.275676 | 0.275676 | 0.275676 | 0 | 0 | 0 | 0 | 0.116466 | 498 | 17 | 76 | 29.294118 | 0.840909 | 0 | 0 | 0 | 0 | 0 | 0.074297 | 0.048193 | 0 | 0 | 0 | 0 | 0.071429 | 1 | 0.071429 | false | 0 | 0.214286 | 0 | 0.285714 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
1d22201a83a2bbf1c25941488f2a1acec09ad837 | 2,237 | py | Python | output/models/nist_data/list_pkg/unsigned_byte/schema_instance/nistschema_sv_iv_list_unsigned_byte_enumeration_2_xsd/nistschema_sv_iv_list_unsigned_byte_enumeration_2.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 1 | 2021-08-14T17:59:21.000Z | 2021-08-14T17:59:21.000Z | output/models/nist_data/list_pkg/unsigned_byte/schema_instance/nistschema_sv_iv_list_unsigned_byte_enumeration_2_xsd/nistschema_sv_iv_list_unsigned_byte_enumeration_2.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | 4 | 2020-02-12T21:30:44.000Z | 2020-04-15T20:06:46.000Z | output/models/nist_data/list_pkg/unsigned_byte/schema_instance/nistschema_sv_iv_list_unsigned_byte_enumeration_2_xsd/nistschema_sv_iv_list_unsigned_byte_enumeration_2.py | tefra/xsdata-w3c-tests | b6b6a4ac4e0ab610e4b50d868510a8b7105b1a5f | [
"MIT"
] | null | null | null | from dataclasses import dataclass, field
from enum import Enum
from typing import Optional
__NAMESPACE__ = "NISTSchema-SV-IV-list-unsignedByte-enumeration-2-NS"
class NistschemaSvIvListUnsignedByteEnumeration2Type(Enum):
VALUE_255_40_95_70_30_41 = (
255,
40,
95,
70,
30,
41,
)
VALUE_2_3_1_52_84_98 = (
2,
3,
1,
52,
84,
98,
)
VALUE_68_3_255_29_7_48_28_66 = (
68,
3,
255,
29,
7,
48,
28,
66,
)
VALUE_14_28_184_73_42_255_97_80_17 = (
14,
28,
184,
73,
42,
255,
97,
80,
17,
)
VALUE_13_79_255_40_6_95_197_48 = (
13,
79,
255,
40,
6,
95,
197,
48,
)
VALUE_255_8_3_59_49_62 = (
255,
8,
3,
59,
49,
62,
)
VALUE_134_71_5_52_8_255_18_24 = (
134,
71,
5,
52,
8,
255,
18,
24,
)
VALUE_10_255_3_59_47_19_126_45 = (
10,
255,
3,
59,
47,
19,
126,
45,
)
VALUE_255_3_87_4_82_248 = (
255,
3,
87,
4,
82,
248,
)
VALUE_10_3_255_81_140_92_22_83 = (
10,
3,
255,
81,
140,
92,
22,
83,
)
@dataclass
class NistschemaSvIvListUnsignedByteEnumeration2:
class Meta:
name = "NISTSchema-SV-IV-list-unsignedByte-enumeration-2"
namespace = "NISTSchema-SV-IV-list-unsignedByte-enumeration-2-NS"
value: Optional[NistschemaSvIvListUnsignedByteEnumeration2Type] = field(
default=None,
metadata={
"required": True,
}
)
| 19.284483 | 76 | 0.386679 | 212 | 2,237 | 3.716981 | 0.372642 | 0.025381 | 0.053299 | 0.068528 | 0.560914 | 0.560914 | 0.446701 | 0.393401 | 0.185279 | 0 | 0 | 0.294406 | 0.544479 | 2,237 | 115 | 77 | 19.452174 | 0.478901 | 0 | 0 | 0.284404 | 0 | 0 | 0.07063 | 0.067054 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.027523 | 0 | 0.155963 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 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 |
1d265bebaac2c7621f87df69a587e32acddb1001 | 735 | py | Python | solidity/python/FormulaNativePython/__init__.py | samuelpilcer/contracts | 9e2857ea984fc07b3ef5a2bac8e64554c06b5c0e | [
"Apache-2.0"
] | null | null | null | solidity/python/FormulaNativePython/__init__.py | samuelpilcer/contracts | 9e2857ea984fc07b3ef5a2bac8e64554c06b5c0e | [
"Apache-2.0"
] | null | null | null | solidity/python/FormulaNativePython/__init__.py | samuelpilcer/contracts | 9e2857ea984fc07b3ef5a2bac8e64554c06b5c0e | [
"Apache-2.0"
] | 1 | 2018-04-03T12:39:19.000Z | 2018-04-03T12:39:19.000Z | from decimal import Decimal
from decimal import getcontext
getcontext().prec = 80 # 78 digits for a maximum of 2^256-1, and 2 more digits for after the decimal point
def calculatePurchaseReturn(supply, balance, weight, amount):
return Decimal(supply)*((1+Decimal(amount)/Decimal(balance))**(Decimal(weight)/1000000)-1)
def calculateSaleReturn(supply, balance, weight, amount):
return Decimal(balance)*(1-(1-Decimal(amount)/Decimal(supply))**(1000000/Decimal(weight)))
def power(baseN, baseD, expN, expD, precision):
return (Decimal(baseN)/Decimal(baseD))**(Decimal(expN)/Decimal(expD))*2**precision
def ln(numerator, denominator, precision):
return (Decimal(numerator)/Decimal(denominator)).ln()*2**precision
| 33.409091 | 106 | 0.744218 | 96 | 735 | 5.697917 | 0.395833 | 0.095064 | 0.062157 | 0.091408 | 0.13894 | 0.13894 | 0 | 0 | 0 | 0 | 0 | 0.045942 | 0.111565 | 735 | 21 | 107 | 35 | 0.79173 | 0.110204 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.363636 | false | 0 | 0.181818 | 0.363636 | 0.909091 | 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 |
1d41d63637517a0d2ddc3e749959ee2bc22da517 | 1,162 | py | Python | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/WGL/ARB/create_context.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/WGL/ARB/create_context.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | OpenGLWrapper_JE/venv/Lib/site-packages/OpenGL/raw/WGL/ARB/create_context.py | JE-Chen/je_old_repo | a8b2f1ac2eec25758bd15b71c64b59b27e0bcda5 | [
"MIT"
] | null | null | null | '''Autogenerated by xml_generate script, do not edit!'''
from OpenGL import platform as _p, arrays
# Code generation uses this
from OpenGL.raw.WGL import _types as _cs
# End users want this...
from OpenGL.raw.WGL._types import *
from OpenGL.raw.WGL import _errors
from OpenGL.constant import Constant as _C
import ctypes
_EXTENSION_NAME = 'WGL_ARB_create_context'
def _f( function ):
return _p.createFunction( function,_p.PLATFORM.WGL,'WGL_ARB_create_context',error_checker=_errors._error_checker)
ERROR_INVALID_VERSION_ARB=_C('ERROR_INVALID_VERSION_ARB',0x2095)
WGL_CONTEXT_DEBUG_BIT_ARB=_C('WGL_CONTEXT_DEBUG_BIT_ARB',0x00000001)
WGL_CONTEXT_FLAGS_ARB=_C('WGL_CONTEXT_FLAGS_ARB',0x2094)
WGL_CONTEXT_FORWARD_COMPATIBLE_BIT_ARB=_C('WGL_CONTEXT_FORWARD_COMPATIBLE_BIT_ARB',0x00000002)
WGL_CONTEXT_LAYER_PLANE_ARB=_C('WGL_CONTEXT_LAYER_PLANE_ARB',0x2093)
WGL_CONTEXT_MAJOR_VERSION_ARB=_C('WGL_CONTEXT_MAJOR_VERSION_ARB',0x2091)
WGL_CONTEXT_MINOR_VERSION_ARB=_C('WGL_CONTEXT_MINOR_VERSION_ARB',0x2092)
@_f
@_p.types(_cs.HGLRC,_cs.HDC,_cs.HGLRC,ctypes.POINTER(_cs.c_int))
def wglCreateContextAttribsARB(hDC,hShareContext,attribList):pass
| 48.416667 | 118 | 0.829604 | 179 | 1,162 | 4.882682 | 0.379888 | 0.1373 | 0.048055 | 0.09611 | 0.372998 | 0.075515 | 0 | 0 | 0 | 0 | 0 | 0.0403 | 0.081756 | 1,162 | 23 | 119 | 50.521739 | 0.778819 | 0.086059 | 0 | 0 | 1 | 0 | 0.23062 | 0.23062 | 0 | 0 | 0.04845 | 0 | 0 | 1 | 0.105263 | false | 0.052632 | 0.315789 | 0.052632 | 0.473684 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 3 |
1d8643819b6fd2cc7279940e0eb8e114425632a1 | 465 | py | Python | mayan/apps/ocr/runtime.py | Syunkolee9891/Mayan-EDMS | 3759a9503a264a180b74cc8518388f15ca66ac1a | [
"Apache-2.0"
] | 1 | 2021-06-17T18:24:25.000Z | 2021-06-17T18:24:25.000Z | mayan/apps/ocr/runtime.py | Syunkolee9891/Mayan-EDMS | 3759a9503a264a180b74cc8518388f15ca66ac1a | [
"Apache-2.0"
] | 7 | 2020-06-06T00:01:04.000Z | 2022-01-13T01:47:17.000Z | mayan/apps/ocr/runtime.py | Syunkolee9891/Mayan-EDMS | 3759a9503a264a180b74cc8518388f15ca66ac1a | [
"Apache-2.0"
] | null | null | null | from __future__ import unicode_literals
import yaml
try:
from yaml import CSafeLoader as SafeLoader
except ImportError:
from yaml import SafeLoader
from django.utils.module_loading import import_string
from .settings import setting_ocr_backend, setting_ocr_backend_arguments
ocr_backend = import_string(
dotted_path=setting_ocr_backend.value
)(
**yaml.load(
stream=setting_ocr_backend_arguments.value or '{}', Loader=SafeLoader
)
)
| 22.142857 | 77 | 0.787097 | 59 | 465 | 5.864407 | 0.491525 | 0.144509 | 0.196532 | 0.150289 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.156989 | 465 | 20 | 78 | 23.25 | 0.882653 | 0 | 0 | 0 | 0 | 0 | 0.004301 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.533333 | 0 | 0.533333 | 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 | 1 | 0 | 1 | 0 | 0 | 3 |
d5232e97d9442219eb60dd41c97e8ec769d65418 | 323 | py | Python | python/run-report.py | nblair/team-stats | 3d832aac1804a41f2277a05e5cec1397f5c8003d | [
"Apache-2.0"
] | null | null | null | python/run-report.py | nblair/team-stats | 3d832aac1804a41f2277a05e5cec1397f5c8003d | [
"Apache-2.0"
] | 1 | 2021-06-01T23:00:01.000Z | 2021-06-01T23:00:01.000Z | python/run-report.py | nblair/team-stats | 3d832aac1804a41f2277a05e5cec1397f5c8003d | [
"Apache-2.0"
] | 1 | 2018-10-18T15:51:17.000Z | 2018-10-18T15:51:17.000Z | #!/usr/local/bin/python3
from jira_report import print_jira_info
from github_report import get_pull_request_information
from util import get_settings
settings = get_settings()
print("---jira info---")
issueKeys = print_jira_info(settings)
print()
print('---pr info---')
get_pull_request_information(settings, issueKeys) | 23.071429 | 54 | 0.795666 | 45 | 323 | 5.4 | 0.422222 | 0.111111 | 0.160494 | 0.205761 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.003401 | 0.089783 | 323 | 14 | 55 | 23.071429 | 0.823129 | 0.071207 | 0 | 0 | 0 | 0 | 0.093333 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.333333 | 0 | 0.333333 | 0.555556 | 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 | 0 | 1 | 0 | 3 |
d52ab206e67e2796a6045d32ec7a361d591275c5 | 1,088 | py | Python | info2021/aplicaciones/Quiz/migrations/0007_auto_20210901_0704.py | Nemo3003/Proyecto_Final_G_8 | 65bc0b74e5746801b373b8714fc6574f2de21f91 | [
"Apache-2.0"
] | null | null | null | info2021/aplicaciones/Quiz/migrations/0007_auto_20210901_0704.py | Nemo3003/Proyecto_Final_G_8 | 65bc0b74e5746801b373b8714fc6574f2de21f91 | [
"Apache-2.0"
] | null | null | null | info2021/aplicaciones/Quiz/migrations/0007_auto_20210901_0704.py | Nemo3003/Proyecto_Final_G_8 | 65bc0b74e5746801b373b8714fc6574f2de21f91 | [
"Apache-2.0"
] | 1 | 2021-09-05T23:42:46.000Z | 2021-09-05T23:42:46.000Z | # Generated by Django 3.0.5 on 2021-09-01 10:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('Quiz', '0006_auto_20210901_0043'),
]
operations = [
migrations.AlterField(
model_name='elegirrespuesta',
name='id',
field=models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
migrations.AlterField(
model_name='pregunta',
name='id',
field=models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
migrations.AlterField(
model_name='preguntasrespondidas',
name='id',
field=models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
migrations.AlterField(
model_name='quizusuario',
name='id',
field=models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID'),
),
]
| 32 | 108 | 0.610294 | 113 | 1,088 | 5.707965 | 0.380531 | 0.074419 | 0.155039 | 0.179845 | 0.643411 | 0.643411 | 0.643411 | 0.643411 | 0.643411 | 0.643411 | 0 | 0.039043 | 0.270221 | 1,088 | 33 | 109 | 32.969697 | 0.7733 | 0.04136 | 0 | 0.592593 | 1 | 0 | 0.09318 | 0.022094 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.037037 | 0 | 0.148148 | 0 | 0 | 0 | 0 | null | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
d52df23dea66802565a0233d5e9eb68bf0c5278f | 1,785 | py | Python | jobya/blog/managers.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | jobya/blog/managers.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | 2 | 2022-02-08T01:15:52.000Z | 2022-03-31T04:24:15.000Z | jobya/blog/managers.py | xblzbjs/Jobya | b936ce37da86bfe8326a532dab3887fae6c65e45 | [
"MIT"
] | null | null | null | from django.db import models
from django.db.models.aggregates import Count
from django.db.models.query import QuerySet
class CategoryQuerySet(QuerySet):
"""Custom CategoryQuerySet for blog category"""
def annotate_num_posts(self) -> QuerySet:
return (
self.filter(posts__status="published")
.annotate(num_posts=Count("posts"))
.values("name", "num_posts")
)
class CategoryManager(models.Manager):
"""Custom Category Manager"""
def get_queryset(self):
return CategoryQuerySet(self.model, using=self._db)
def annotate_num_posts(self):
return self.get_queryset().annotate_num_posts()
class PostQuerySet(QuerySet):
"""Custom PostQuerySet for blog post"""
def get_published(self):
return self.filter(status="published").all().order_by("published_date")
def get_draft(self):
return self.filter(status="draft").all().order_by("modified")
def get_by_category(self, category_name):
return self.filter(category__name=category_name)
def get_recent_posts(self, num=5, published=True):
if published:
return self.get_published()[:num]
else:
return self.get_draft()[:num]
class PostManager(models.Manager):
"""Custom Post Manager"""
def get_queryset(self):
return PostQuerySet(self.model, using=self._db)
def get_by_category(self, category_name):
return self.get_queryset().get_by_category(category_name)
def get_published(self):
return self.get_queryset().get_published()
def get_draft(self):
return self.get_queryset().get_draft()
def get_recent_posts(self, num=5, published=True):
return self.get_queryset().get_recent_posts(num, published)
| 28.333333 | 79 | 0.682353 | 221 | 1,785 | 5.294118 | 0.20362 | 0.094017 | 0.077778 | 0.089744 | 0.450427 | 0.342735 | 0.136752 | 0.136752 | 0.136752 | 0 | 0 | 0.001404 | 0.202241 | 1,785 | 62 | 80 | 28.790323 | 0.820225 | 0.066667 | 0 | 0.263158 | 0 | 0 | 0.038298 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.315789 | false | 0 | 0.078947 | 0.289474 | 0.842105 | 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 |
d5396614672b74736003f2940ab104ec14c386a2 | 490 | py | Python | src/credentialView.py | danslobodan/LibraryConsole | 2ce35ddf17b960989a22940e69eadd69f936477a | [
"MIT"
] | null | null | null | src/credentialView.py | danslobodan/LibraryConsole | 2ce35ddf17b960989a22940e69eadd69f936477a | [
"MIT"
] | null | null | null | src/credentialView.py | danslobodan/LibraryConsole | 2ce35ddf17b960989a22940e69eadd69f936477a | [
"MIT"
] | 1 | 2019-01-31T18:55:59.000Z | 2019-01-31T18:55:59.000Z | import view
def getUsername(credentials):
username = view.assertInput("Username")
if username in credentials:
print("Username", username, "is already taken.")
return ""
return username
def getCredentials(credentials):
username = getUsername(credentials)
while username == "":
username = getUsername(credentials)
password = view.assertInput("Password")
return {
"username" : username,
"password" : password
}
| 21.304348 | 56 | 0.640816 | 42 | 490 | 7.47619 | 0.404762 | 0.210191 | 0.191083 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.257143 | 490 | 22 | 57 | 22.272727 | 0.862637 | 0 | 0 | 0.125 | 0 | 0 | 0.116327 | 0 | 0 | 0 | 0 | 0 | 0.125 | 1 | 0.125 | false | 0.125 | 0.0625 | 0 | 0.375 | 0.0625 | 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 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
d53e70627944200373675908f8c14e9ce678b18e | 69 | py | Python | tests/__init__.py | arkottke/pybline | 6174047e94573d058c5af9556ed8b1dc394d758e | [
"MIT"
] | null | null | null | tests/__init__.py | arkottke/pybline | 6174047e94573d058c5af9556ed8b1dc394d758e | [
"MIT"
] | null | null | null | tests/__init__.py | arkottke/pybline | 6174047e94573d058c5af9556ed8b1dc394d758e | [
"MIT"
] | 1 | 2021-02-25T14:05:37.000Z | 2021-02-25T14:05:37.000Z | import pathlib
FPATH_DATA = pathlib.Path(__file__).parent / 'data'
| 13.8 | 51 | 0.753623 | 9 | 69 | 5.222222 | 0.777778 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.130435 | 69 | 4 | 52 | 17.25 | 0.783333 | 0 | 0 | 0 | 0 | 0 | 0.057971 | 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 |
d5574f0cb29de333d5d417104903143f8f0cc93c | 137 | py | Python | codigos/Cap02/ex2.12.py | skunkworksdev/Ifes_Algoritmo | 458ef73a304573c12b45d8afae38e13ae0f3354f | [
"MIT"
] | null | null | null | codigos/Cap02/ex2.12.py | skunkworksdev/Ifes_Algoritmo | 458ef73a304573c12b45d8afae38e13ae0f3354f | [
"MIT"
] | null | null | null | codigos/Cap02/ex2.12.py | skunkworksdev/Ifes_Algoritmo | 458ef73a304573c12b45d8afae38e13ae0f3354f | [
"MIT"
] | null | null | null | graus = [0,10,20,40,100]
for T in graus:
print("A temperatura é: ",T)
print("a Lista de temperaturas tem ", len(graus), 'elementos')
| 19.571429 | 62 | 0.656934 | 24 | 137 | 3.75 | 0.791667 | 0.133333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.087719 | 0.167883 | 137 | 6 | 63 | 22.833333 | 0.701754 | 0 | 0 | 0 | 0 | 0 | 0.394161 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 |
d55ef2d5d1d8ee68639ab6058c2ea5746cbf287f | 80 | py | Python | assignements/S4_queues_tools.py | Just1bridou/BachelorDIM-Lectures-Algorithms-2020 | a2f23a3afff637bfa064cb83b3f18cecd069cb52 | [
"MIT"
] | null | null | null | assignements/S4_queues_tools.py | Just1bridou/BachelorDIM-Lectures-Algorithms-2020 | a2f23a3afff637bfa064cb83b3f18cecd069cb52 | [
"MIT"
] | null | null | null | assignements/S4_queues_tools.py | Just1bridou/BachelorDIM-Lectures-Algorithms-2020 | a2f23a3afff637bfa064cb83b3f18cecd069cb52 | [
"MIT"
] | null | null | null | from keys import Keys
key = Keys()
AMQP_url = key.getAMQP_URL()
print(AMQP_url) | 16 | 28 | 0.75 | 14 | 80 | 4.071429 | 0.571429 | 0.245614 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1375 | 80 | 5 | 29 | 16 | 0.826087 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
d5639f6316b2e6fe91a2dec0ab2844db72c24cb3 | 937 | py | Python | django_falcon/system/models.py | Lukejo2/python-django-falcon | 12ac52b6e241bc29a41cf4b6df66e7e2f85b1dd2 | [
"MIT"
] | null | null | null | django_falcon/system/models.py | Lukejo2/python-django-falcon | 12ac52b6e241bc29a41cf4b6df66e7e2f85b1dd2 | [
"MIT"
] | null | null | null | django_falcon/system/models.py | Lukejo2/python-django-falcon | 12ac52b6e241bc29a41cf4b6df66e7e2f85b1dd2 | [
"MIT"
] | null | null | null | from django.db import models
from django.utils import timezone
from rest_framework import serializers
# Create your models here.
class SensorEvent(models.Model):
name = models.CharField(max_length=128)
value = models.FloatField(null=True, blank=True)
unit = models.CharField(max_length=16)
status = models.CharField(max_length=16)
lower_non_recoverable = models.FloatField(null=True, blank=True)
lower_critical = models.FloatField(null=True, blank=True)
lower_non_critical = models.FloatField(null=True, blank=True)
upper_non_critical = models.FloatField(null=True, blank=True)
upper_critical = models.FloatField(null=True, blank=True)
upper_non_recoverable = models.FloatField(null=True, blank=True)
timestamp = models.DateTimeField(default=timezone.now)
class SensorEventSerializer(serializers.ModelSerializer):
class Meta:
model = SensorEvent
fields = '__all__'
| 32.310345 | 68 | 0.75667 | 116 | 937 | 5.956897 | 0.37069 | 0.162084 | 0.202605 | 0.243126 | 0.541245 | 0.465991 | 0.418234 | 0.344428 | 0.212735 | 0 | 0 | 0.008794 | 0.15048 | 937 | 28 | 69 | 33.464286 | 0.859296 | 0.025614 | 0 | 0 | 0 | 0 | 0.007684 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.157895 | 0 | 0.894737 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
6352e3854520776cae288b1173b6c51a0774f089 | 160 | py | Python | tutorials/assets/lrp_model/__init__.py | Christophe-Jia/InterpretDL | 5736cb880d3c9bd79241d2ea6cb0490d9e8b089d | [
"Apache-2.0"
] | 107 | 2020-07-02T14:25:01.000Z | 2022-03-31T18:49:01.000Z | tutorials/assets/lrp_model/__init__.py | Christophe-Jia/InterpretDL | 5736cb880d3c9bd79241d2ea6cb0490d9e8b089d | [
"Apache-2.0"
] | 22 | 2020-07-28T01:57:21.000Z | 2022-03-31T07:51:36.000Z | tutorials/assets/lrp_model/__init__.py | Christophe-Jia/InterpretDL | 5736cb880d3c9bd79241d2ea6cb0490d9e8b089d | [
"Apache-2.0"
] | 23 | 2020-07-10T05:08:39.000Z | 2022-03-31T10:00:04.000Z | from .resnet_lrp import *
from .vgg_lrp import *
__all__ = [
'ResNet', 'resnet18', 'resnet32', 'resnet50', 'resnet101', 'resnet152',
'VGG', 'vgg16'
]
| 17.777778 | 75 | 0.625 | 17 | 160 | 5.529412 | 0.705882 | 0.191489 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107692 | 0.1875 | 160 | 8 | 76 | 20 | 0.615385 | 0 | 0 | 0 | 0 | 0 | 0.35 | 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 |
635444b1b5650e3c31fbd780002ce0e3df71654e | 1,009 | py | Python | student_lab2/tests/q1_2.py | ds-modules/DATA-198-SP21 | eedff5e04a5fcb50032ff9f746b164bf8658030f | [
"BSD-3-Clause"
] | null | null | null | student_lab2/tests/q1_2.py | ds-modules/DATA-198-SP21 | eedff5e04a5fcb50032ff9f746b164bf8658030f | [
"BSD-3-Clause"
] | 1 | 2021-03-29T16:48:19.000Z | 2021-03-29T16:48:19.000Z | student_lab2/tests/q1_2.py | ds-modules/DATA-198-SP21 | eedff5e04a5fcb50032ff9f746b164bf8658030f | [
"BSD-3-Clause"
] | null | null | null | test = { 'name': 'q1_2',
'points': 1,
'suites': [ { 'cases': [ {'code': ">>> assert trending_vids.shape[0] == '40379'\n", 'hidden': False, 'locked': False},
{'code': ">>> assert trending_vids.iloc[0, 0] == '25231'\n", 'hidden': False, 'locked': False},
{'code': ">>> assert trending_vids.iloc[0, 4] == 'Inside Edition'\n", 'hidden': False, 'locked': False},
{'code': ">>> assert trending_vids.loc[0, 'views'] == 542677.0\n", 'hidden': False, 'locked': False},
{'code': ">>> assert trending_vids.loc[2, 'likes'] == 11390.0\n", 'hidden': False, 'locked': False},
{'code': ">>> assert trending_vids.loc[3, 'dislikes'] == 175.0\n", 'hidden': False, 'locked': False}],
'scored': True,
'setup': '',
'teardown': '',
'type': 'doctest'}]}
| 77.615385 | 139 | 0.424182 | 95 | 1,009 | 4.431579 | 0.4 | 0.142518 | 0.256532 | 0.313539 | 0.64133 | 0.64133 | 0.584323 | 0.584323 | 0.584323 | 0.584323 | 0 | 0.059006 | 0.361744 | 1,009 | 12 | 140 | 84.083333 | 0.594721 | 0 | 0 | 0 | 0 | 0 | 0.45887 | 0.063429 | 0 | 0 | 0 | 0 | 0.5 | 1 | 0 | false | 0 | 0 | 0 | 0 | 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 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
6361a28b771de3507c3f04ed351dccd973635336 | 1,819 | py | Python | quorra/models.py | bprinty/quorra-python | 82b6583992c6db4f16ee0d74ea7b1fe5e84cf03c | [
"Apache-2.0"
] | null | null | null | quorra/models.py | bprinty/quorra-python | 82b6583992c6db4f16ee0d74ea7b1fe5e84cf03c | [
"Apache-2.0"
] | null | null | null | quorra/models.py | bprinty/quorra-python | 82b6583992c6db4f16ee0d74ea7b1fe5e84cf03c | [
"Apache-2.0"
] | null | null | null | # -*- coding: utf-8 -*-
#
# Methods for generating quorra plot models.
#
# @author <bprinty@gmail.com>
# ------------------------------------------------
# imports
# -------
import json
import pandas
# models
# ------
def line():
return Plot('line')
def density():
return Plot('density')
def scatter():
return Plot('scatter')
def bar():
return Plot('bar')
def histogram():
return Plot('histogram')
def pie():
return Plot('pie')
def multiline():
return Plot('multiline')
# objects
# -------
class Plot(object):
def __init__(self, model):
self.model = model
self.attr = {}
return
def __getattr__(self, item):
def func(value, key=item):
self.attr[key] = value
return self
return func
def __str__(self):
ret = 'quorra.{}()'.format(self.model)
for key in self.attr:
ret += '\n.{}({})'.format(key, json.dumps(self.attr[key]))
return ret
def data(self, data, x=None, y=None, group=None, label=None):
if isinstance(data, pandas.DataFrame):
self.attr['data'] = []
for idx in range(0, len(data)):
entry = {}
if x is not None:
entry['x'] = data[x][idx]
if y is not None:
entry['y'] = data[y][idx]
if group is not None:
entry['group'] = data[group][idx]
if label is not None:
entry['label'] = data[label][idx]
self.attr['data'].append(entry)
elif isinstance(data, list, tuple):
self.attr['data'] = data
else:
raise AssertionError('Input data must be one of type: (list, tuple, pandas.DataFrame)')
return self
| 21.4 | 99 | 0.498626 | 207 | 1,819 | 4.323672 | 0.352657 | 0.078212 | 0.040223 | 0.06257 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.001641 | 0.329852 | 1,819 | 84 | 100 | 21.654762 | 0.732568 | 0.102804 | 0 | 0.04 | 0 | 0 | 0.092032 | 0 | 0 | 0 | 0 | 0 | 0.02 | 1 | 0.24 | false | 0 | 0.04 | 0.14 | 0.54 | 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 |
63812e727bc4f343e752abde368afd8133a49c71 | 58,222 | py | Python | malaya/path/__init__.py | illaiza115/malaya | 002a885db0681ebf056f53b3b1b11fd99687eef1 | [
"MIT"
] | 1 | 2021-01-06T07:15:41.000Z | 2021-01-06T07:15:41.000Z | malaya/path/__init__.py | illaiza115/malaya | 002a885db0681ebf056f53b3b1b11fd99687eef1 | [
"MIT"
] | null | null | null | malaya/path/__init__.py | illaiza115/malaya | 002a885db0681ebf056f53b3b1b11fd99687eef1 | [
"MIT"
] | null | null | null | from malaya import home
MALAY_TEXT = home + '/dictionary/malay-text.txt'
MALAY_TEXT_200K = home + '/dictionary-200k/malay-text.txt'
# sorted based on modules, started from augmentation until toxic
PATH_AUGMENTATION = {
'synonym': {
'model': home + '/synonym/synonym0.json',
'model2': home + '/synonym/synonym1.json',
'version': 'v35',
}
}
S3_PATH_AUGMENTATION = {
'synonym': {
'model': 'https://raw.githubusercontent.com/huseinzol05/Malaya-Dataset/master/dictionary/synonym/synonym0.json',
'model2': 'https://raw.githubusercontent.com/huseinzol05/Malaya-Dataset/master/dictionary/synonym/synonym1.json',
}
}
PATH_CONSTITUENCY = {
'bert': {
'model': home + '/constituency/bert/base/model.pb',
'quantized': home + '/constituency/bert/base/quantized/model.pb',
'dictionary': home + '/constituency/bert/base/vocab.json',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v38',
},
'tiny-bert': {
'model': home + '/constituency/bert/tiny/model.pb',
'quantized': home + '/constituency/bert/tiny/quantized/model.pb',
'dictionary': home + '/constituency/bert/tiny/vocab.json',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v38',
},
'albert': {
'model': home + '/constituency/albert/base/model.pb',
'quantized': home + '/constituency/albert/base/quantized/model.pb',
'dictionary': home + '/constituency/albert/base/vocab.json',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v38',
},
'tiny-albert': {
'model': home + '/constituency/albert/tiny/model.pb',
'quantized': home + '/constituency/albert/tiny/quantized/model.pb',
'dictionary': home + '/constituency/albert/tiny/vocab.json',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v38',
},
'xlnet': {
'model': home + '/constituency/xlnet/base/model.pb',
'quantized': home + '/constituency/xlnet/base/quantized/model.pb',
'dictionary': home + '/constituency/xlnet/base/vocab.json',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'version': 'v38',
},
}
S3_PATH_CONSTITUENCY = {
'bert': {
'model': 'v38/constituency/bert-base.pb',
'quantized': 'v40/constituency/bert-base.pb.quantized',
'dictionary': 'v38/constituency/vocab-bert-base.json',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'tiny-bert': {
'model': 'v38/constituency/tiny-bert.pb',
'quantized': 'v40/constituency/tiny-bert.pb.quantized',
'dictionary': 'v38/constituency/vocab-tiny-bert.json',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'albert': {
'model': 'v38/constituency/albert-base.pb',
'quantized': 'v40/constituency/albert-base.pb.quantized',
'dictionary': 'v38/constituency/vocab-albert-base.json',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'tiny-albert': {
'model': 'v38/constituency/albert-tiny.pb',
'quantized': 'v40/constituency/albert-tiny.pb.quantized',
'dictionary': 'v38/constituency/vocab-albert-tiny.json',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'xlnet': {
'model': 'v40/constituency/xlnet-base.pb',
'quantized': 'v40/constituency/xlnet-base.pb.quantized',
'dictionary': 'v40/constituency/vocab-xlnet-base.json',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
}
PATH_DEPENDENCY = {
'bert': {
'model': home + '/dependency/bert/base/model.pb',
'quantized': home + '/dependency/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'tiny-bert': {
'model': home + '/dependency/bert/tiny/model.pb',
'quantized': home + '/dependency/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'albert': {
'model': home + '/dependency/albert/base/model.pb',
'quantized': home + '/dependency/albert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v34',
},
'tiny-albert': {
'model': home + '/dependency/albert/tiny/model.pb',
'quantized': home + '/dependency/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v34',
},
'xlnet': {
'model': home + '/dependency/xlnet/base/model.pb',
'quantized': home + '/dependency/xlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'version': 'v34',
},
'alxlnet': {
'model': home + '/dependency/alxlnet/base/model.pb',
'quantized': home + '/dependency/alxlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'version': 'v34',
},
}
S3_PATH_DEPENDENCY = {
'bert': {
'model': 'v34/dependency/bert-base-dependency.pb',
'quantized': 'v40/dependency/bert-base-dependency.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'tiny-bert': {
'model': 'v34/dependency/tiny-bert-dependency.pb',
'quantized': 'v40/dependency/tiny-bert-dependency.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'albert': {
'model': 'v34/dependency/albert-base-dependency.pb',
'quantized': 'v40/dependency/albert-base-dependency.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'tiny-albert': {
'model': 'v34/dependency/albert-tiny-dependency.pb',
'quantized': 'v40/dependency/albert-tiny-dependency.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'xlnet': {
'model': 'v34/dependency/xlnet-base-dependency.pb',
'quantized': 'v40/dependency/xlnet-base-dependency.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
'alxlnet': {
'model': 'v34/dependency/alxlnet-base-dependency.pb',
'quantized': 'v34/dependency/alxlnet-base-dependency.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
}
PATH_EMOTION = {
'multinomial': {
'model': home + '/emotion/multinomial/multinomial.pkl',
'vector': home + '/emotion/multinomial/tfidf.pkl',
'bpe': home + '/emotion/multinomial/bpe.model',
'version': 'v34',
},
'bert': {
'model': home + '/emotion/bert/base/model.pb',
'quantized': home + '/emotion/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'tiny-bert': {
'model': home + '/emotion/bert/tiny/model.pb',
'quantized': home + '/emotion/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'albert': {
'model': home + '/emotion/albert/base/model.pb',
'quantized': home + '/emotion/albert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v34',
},
'tiny-albert': {
'model': home + '/emotion/albert/tiny/model.pb',
'quantized': home + '/emotion/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v34',
},
'xlnet': {
'model': home + '/emotion/xlnet/base/model.pb',
'quantized': home + '/emotion/xlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'version': 'v34',
},
'alxlnet': {
'model': home + '/emotion/alxlnet/base/model.pb',
'quantized': home + '/emotion/alxlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'version': 'v34',
},
}
S3_PATH_EMOTION = {
'multinomial': {
'model': 'v34/emotion/multinomial.pkl',
'vector': 'v34/emotion/tfidf.pkl',
'bpe': 'v34/emotion/bpe.model',
},
'bert': {
'model': 'v34/emotion/bert-base-emotion.pb',
'quantized': 'v40/emotion/bert-base-emotion.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'tiny-bert': {
'model': 'v34/emotion/tiny-bert-emotion.pb',
'quantized': 'v40/emotion/tiny-bert-emotion.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'albert': {
'model': 'v34/emotion/albert-base-emotion.pb',
'quantized': 'v40/emotion/albert-base-emotion.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'tiny-albert': {
'model': 'v34/emotion/albert-tiny-emotion.pb',
'quantized': 'v40/emotion/albert-tiny-emotion.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'xlnet': {
'model': 'v34/emotion/xlnet-base-emotion.pb',
'quantized': 'v40/emotion/xlnet-base-emotion.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
'alxlnet': {
'model': 'v34/emotion/alxlnet-base-emotion.pb',
'quantized': 'v40/emotion/alxlnet-base-emotion.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
}
PATH_ENTITIES = {
'bert': {
'model': home + '/entity/bert/base/model.pb',
'quantized': home + '/entity/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'setting': home + '/entity/dictionary-entities.json',
'version': 'v34',
},
'tiny-bert': {
'model': home + '/entity/bert/tiny/model.pb',
'quantized': home + '/entity/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'setting': home + '/entity/dictionary-entities.json',
'version': 'v34',
},
'albert': {
'model': home + '/entity/albert/base/model.pb',
'quantized': home + '/entity/albert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'setting': home + '/entity/dictionary-entities.json',
'version': 'v34',
},
'tiny-albert': {
'model': home + '/entity/albert/tiny/model.pb',
'quantized': home + '/entity/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'setting': home + '/entity/dictionary-entities.json',
'version': 'v34',
},
'xlnet': {
'model': home + '/entity/xlnet/base/model.pb',
'quantized': home + '/entity/xlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'setting': home + '/entity/dictionary-entities.json',
'version': 'v34',
},
'alxlnet': {
'model': home + '/entity/alxlnet/base/model.pb',
'quantized': home + '/entity/alxlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'setting': home + '/entity/dictionary-entities.json',
'version': 'v34',
},
}
S3_PATH_ENTITIES = {
'bert': {
'model': 'v34/entity/bert-base-entity.pb',
'quantized': 'v40/entity/bert-base-entity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
'setting': 'bert-bahasa/dictionary-entities.json',
},
'tiny-bert': {
'model': 'v34/entity/tiny-bert-entity.pb',
'quantized': 'v40/entity/tiny-bert-entity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
'setting': 'bert-bahasa/dictionary-entities.json',
},
'albert': {
'model': 'v34/entity/albert-base-entity.pb',
'quantized': 'v40/entity/albert-base-entity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
'setting': 'bert-bahasa/dictionary-entities.json',
},
'tiny-albert': {
'model': 'v34/entity/albert-tiny-entity.pb',
'quantized': 'v40/entity/albert-tiny-entity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
'setting': 'bert-bahasa/dictionary-entities.json',
},
'xlnet': {
'model': 'v34/entity/xlnet-base-entity.pb',
'quantized': 'v40/entity/xlnet-base-entity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
'setting': 'bert-bahasa/dictionary-entities.json',
},
'alxlnet': {
'model': 'v34/entity/alxlnet-base-entity.pb',
'quantized': 'v40/entity/alxlnet-base-entity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
'setting': 'bert-bahasa/dictionary-entities.json',
},
}
PATH_GENERATOR = {
't5-compressed': {
'base': {
'path': home + '/generator/t5-compressed/base',
'directory': home + '/generator/t5-compressed/base/model/',
'model': {
'model': home
+ '/generator/t5-compressed/base/generator-t5-base.tar.gz',
'version': 'v35',
},
},
'small': {
'path': home + '/generator/t5-compressed/small',
'directory': home + '/generator/t5-compressed/small/model/',
'model': {
'model': home
+ '/generator/t5-compressed/small/generator-t5-small.tar.gz',
'version': 'v35',
},
},
},
't5': {
'base': {
'model': home + '/generator/t5/base/model.pb',
'quantized': home + '/generator/t5/base/quantized/model.pb',
'version': 'v38',
},
'small': {
'model': home + '/generator/t5/small/model.pb',
'quantized': home + '/generator/t5/small/quantized/model.pb',
'version': 'v38',
},
},
}
S3_PATH_GENERATOR = {
't5-compressed': {
'base': {'model': 'v35/generator/sample-generator-t5-base.tar.gz'},
'small': {'model': 'v35/generator/sample-generator-t5-small.tar.gz'},
},
't5': {
'base': {
'model': 'v38/generator/base.pb',
'quantized': 'v40/generator/base.pb.quantized',
},
'small': {
'model': 'v38/generator/small.pb',
'quantized': 'v40/generator/small.pb.quantized',
},
},
}
PATH_LANG_DETECTION = {
'fasttext-original': {
'model': home + '/language-detection/fasttext-original/fasstext.bin',
'version': 'v34',
},
'fasttext-quantized': {
'model': home + '/language-detection/fasttext-quantized/fasstext.tfz',
'version': 'v34',
},
'deep': {
'model': home
+ '/language-detection/deep/model.ckpt.data-00000-of-00001',
'index': home + '/language-detection/deep/model.ckpt.index',
'meta': home + '/language-detection/deep/model.ckpt.meta',
'vector': home
+ '/language-detection/deep/vectorizer-language-detection.pkl',
'bpe': home + '/language-detection/deep/bpe.model',
'version': 'v34',
},
}
S3_PATH_LANG_DETECTION = {
'fasttext-original': {
'model': 'v34/language-detection/fasttext-malaya.bin'
},
'fasttext-quantized': {
'model': 'v34/language-detection/fasttext-malaya.ftz'
},
'deep': {
'model': 'v34/language-detection/model.ckpt.data-00000-of-00001',
'index': 'v34/language-detection/model.ckpt.index',
'meta': 'v34/language-detection/model.ckpt.meta',
'vector': 'v34/language-detection/bow-language-detection.pkl',
'bpe': 'v34/language-detection/language-detection.model',
},
}
PATH_NGRAM = {
1: {
'model': home + '/preprocessing/ngram1/bm_1grams.json',
'version': 'v28',
},
2: {
'model': home + '/preprocessing/ngram2/bm_2grams.json',
'version': 'v23',
},
'symspell': {
'model': home + '/preprocessing/symspell/bm_1grams.txt',
'version': 'v28',
},
'sentencepiece': {
'vocab': home + '/preprocessing/sentencepiece/sp10m.cased.v4.vocab',
'model': home + '/preprocessing/sentencepiece/sp10m.cased.v4.model',
'version': 'v31',
},
}
S3_PATH_NGRAM = {
1: {'model': 'v27/preprocessing/bm_1grams.json'},
2: {'model': 'v23/preprocessing/bm_2grams.json'},
'symspell': {'model': 'v27/preprocessing/bm_1grams.txt'},
'sentencepiece': {
'vocab': 'bert-bahasa/sp10m.cased.v4.vocab',
'model': 'bert-bahasa/sp10m.cased.v4.model',
},
}
PATH_NSFW = {
'lexicon': {'model': home + '/nsfw/lexicon.json', 'version': 'v39'},
'multinomial': {
'model': home + '/nsfw/multinomial/multinomial.pkl',
'vector': home + '/nsfw/multinomial/tfidf.pkl',
'bpe': home + '/nsfw/multinomial/bpe.model',
'version': 'v39',
},
}
S3_PATH_NSFW = {
'lexicon': {'model': 'v39/nsfw/nsfw-corpus.json'},
'multinomial': {
'model': 'v39/nsfw/multinomial-nsfw.pkl',
'vector': 'v39/nsfw/tfidf-nsfw.pkl',
'bpe': 'v39/nsfw/nsfw.model',
},
}
PATH_PARAPHRASE = {
't5-compressed': {
'base': {
'path': home + '/paraphrase/t5-compressed/base',
'directory': home + '/paraphrase/t5-compressed/base/model/',
'model': {
'model': home
+ '/paraphrase/t5-compressed/base/paraphrase-t5-base.tar.gz',
'version': 'v36',
},
},
'small': {
'path': home + '/paraphrase/t5-compressed/small',
'directory': home + '/paraphrase/t5-compressed/small/model/',
'model': {
'model': home
+ '/paraphrase/t5-compressed/small/paraphrase-t5-small.tar.gz',
'version': 'v36',
},
},
},
't5': {
'base': {
'model': home + '/paraphrase/t5/base/model.pb',
'quantized': home + '/paraphrase/t5/base/quantized/model.pb',
'version': 'v38',
},
'small': {
'model': home + '/paraphrase/t5/small/model.pb',
'quantized': home + '/paraphrase/t5/small/quantized/model.pb',
'version': 'v38',
},
},
'transformer': {
'base': {
'model': home + '/paraphrase/transformer/base/model.pb',
'quantized': home
+ '/paraphrase/transformer/base/quantized/model.pb',
'vocab': home + '/paraphrase/sp10m.cased.t5.model',
'version': 'v39',
},
'small': {
'model': home + '/paraphrase/transformer/small/model.pb',
'quantized': home
+ '/paraphrase/transformer/small/quantized/model.pb',
'vocab': home + '/paraphrase/sp10m.cased.t5.model',
'version': 'v39',
},
},
}
S3_PATH_PARAPHRASE = {
't5-compressed': {
'base': {'model': 'v36/paraphrase/paraphrase-t5-base.tar.gz'},
'small': {'model': 'v36/paraphrase/paraphrase-t5-small.tar.gz'},
},
't5': {
'base': {
'model': 'v38/paraphrase/base.pb',
'quantized': 'v40/paraphrase/base.pb.t5.quantized',
},
'small': {
'model': 'v38/paraphrase/small.pb',
'quantized': 'v40/paraphrase/small.pb.t5.quantized',
},
},
'transformer': {
'base': {
'model': 'v39/paraphrase/base.pb',
'quantized': 'v40/paraphrase/base.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.t5.model',
},
'small': {
'model': 'v39/paraphrase/small.pb',
'quantized': 'v40/paraphrase/small.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.t5.model',
},
},
}
PATH_POS = {
'bert': {
'model': home + '/pos/bert/base/model.pb',
'quantized': home + '/pos/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'setting': home + '/pos/dictionary-pos.json',
'version': 'v34',
},
'tiny-bert': {
'model': home + '/pos/bert/tiny/model.pb',
'quantized': home + '/pos/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'setting': home + '/pos/dictionary-pos.json',
'version': 'v34',
},
'albert': {
'model': home + '/pos/albert/base/model.pb',
'quantized': home + '/pos/albert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'setting': home + '/pos/dictionary-pos.json',
'version': 'v34',
},
'tiny-albert': {
'model': home + '/pos/albert/tiny/model.pb',
'quantized': home + '/pos/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'setting': home + '/pos/dictionary-pos.json',
'version': 'v34',
},
'xlnet': {
'model': home + '/pos/xlnet/base/model.pb',
'quantized': home + '/pos/xlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'setting': home + '/pos/dictionary-pos.json',
'version': 'v34',
},
'alxlnet': {
'model': home + '/pos/alxlnet/base/model.pb',
'quantized': home + '/pos/alxlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'setting': home + '/pos/dictionary-pos.json',
'version': 'v34',
},
}
S3_PATH_POS = {
'bert': {
'model': 'v34/pos/bert-base-pos.pb',
'quantized': 'v40/pos/bert-base-pos.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
'setting': 'bert-bahasa/dictionary-pos.json',
},
'tiny-bert': {
'model': 'v34/pos/tiny-bert-pos.pb',
'quantized': 'v40/pos/tiny-bert-pos.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
'setting': 'bert-bahasa/dictionary-pos.json',
},
'albert': {
'model': 'v34/pos/albert-base-pos.pb',
'quantized': 'v40/pos/albert-base-pos.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
'setting': 'bert-bahasa/dictionary-pos.json',
},
'tiny-albert': {
'model': 'v34/pos/albert-tiny-pos.pb',
'quantized': 'v40/pos/albert-tiny-pos.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
'setting': 'bert-bahasa/dictionary-pos.json',
},
'xlnet': {
'model': 'v34/pos/xlnet-base-pos.pb',
'quantized': 'v40/pos/xlnet-base-pos.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
'setting': 'bert-bahasa/dictionary-pos.json',
},
'alxlnet': {
'model': 'v34/pos/alxlnet-base-pos.pb',
'quantized': 'v40/pos/alxlnet-base-pos.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
'setting': 'bert-bahasa/dictionary-pos.json',
},
}
PATH_PREPROCESSING = {
1: {
'model': home + '/preprocessing/count1/1counts_1grams.json',
'version': 'v23',
},
2: {
'model': home + '/preprocessing/count2/counts_2grams.json',
'version': 'v23',
},
'english-malay': {
'model': home + '/preprocessing/english-malay/english-malay-200k.json',
'version': 'v23',
},
}
S3_PATH_PREPROCESSING = {
1: {'model': 'v23/preprocessing/counts_1grams.json'},
2: {'model': 'v23/preprocessing/counts_2grams.json'},
'english-malay': {'model': 'v23/preprocessing/english-malay-200k.json'},
}
PATH_RELEVANCY = {
'bert': {
'model': home + '/relevancy/bert/base/model.pb',
'quantized': home + '/relevancy/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v40',
},
'tiny-bert': {
'model': home + '/relevancy/bert/tiny/model.pb',
'quantized': home + '/relevancy/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v40',
},
'albert': {
'model': home + '/relevancy/albert/base/model.pb',
'quantized': home + '/relevancy/albert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v40',
},
'tiny-albert': {
'model': home + '/relevancy/albert/tiny/model.pb',
'quantized': home + '/relevancy/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v40',
},
'xlnet': {
'model': home + '/relevancy/xlnet/base/model.pb',
'quantized': home + '/relevancy/xlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'version': 'v40',
},
'alxlnet': {
'model': home + '/relevancy/alxlnet/base/model.pb',
'quantized': home + '/relevancy/alxlnet/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v9.vocab',
'tokenizer': home + '/bert/sp10m.cased.v9.model',
'version': 'v40',
},
}
S3_PATH_RELEVANCY = {
'bert': {
'model': 'v40/relevancy/bert-base-relevancy.pb',
'quantized': 'v40/relevancy/bert-base-relevancy.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'tiny-bert': {
'model': 'v40/relevancy/tiny-bert-relevancy.pb',
'quantized': 'v40/relevancy/tiny-bert-relevancy.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'albert': {
'model': 'v40/relevancy/albert-base-relevancy.pb',
'quantized': 'v40/relevancy/albert-base-relevancy.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'tiny-albert': {
'model': 'v40/relevancy/albert-tiny-relevancy.pb',
'quantized': 'v40/relevancy/albert-tiny-relevancy.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'xlnet': {
'model': 'v40/relevancy/xlnet-base-relevancy.pb',
'quantized': 'v40/relevancy/xlnet-base-relevancy.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
'alxlnet': {
'model': 'v40/relevancy/alxlnet-base-relevancy.pb',
'quantized': 'v40/relevancy/alxlnet-base-relevancy.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
}
PATH_SEGMENTATION = {
'base': {
'model': home + '/segmentation/base.pb',
'quantized': home + '/segmentation/quantized/base.pb',
'vocab': home + '/segmentation/vocab.yttm',
'version': 'v40',
},
'small': {
'model': home + '/segmentation/small.pb',
'quantized': home + '/segmentation/quantized/small.pb',
'vocab': home + '/segmentation/vocab.yttm',
'version': 'v40',
},
}
S3_PATH_SEGMENTATION = {
'base': {
'model': 'v40/segmentation/base.pb',
'quantized': 'v40/segmentation/base.pb.quantized',
'vocab': 'tokenizer/segmentation.yttm',
},
'small': {
'model': 'v40/segmentation/small.pb',
'quantized': 'v40/segmentation/small.pb.quantized',
'vocab': 'tokenizer/segmentation.yttm',
},
}
PATH_SENTIMENT = {
'multinomial': {
'model': home + '/sentiment/multinomial/multinomial.pkl',
'vector': home + '/sentiment/multinomial/tfidf.pkl',
'bpe': home + '/sentiment/multinomial/bpe.model',
'version': 'v34',
},
'bert': {
'model': home + '/sentiment/bert/base/model.pb',
'quantized': home + '/sentiment/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'tiny-bert': {
'model': home + '/sentiment/bert/tiny/model.pb',
'quantized': home + '/sentiment/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'albert': {
'model': home + '/sentiment/albert/base/model.pb',
'quantized': home + '/sentiment/albert/base/quantized/model.pb',
'vocab': home + '/albert/sp10m.cased.v10.vocab',
'tokenizer': home + '/albert/sp10m.cased.v10.model',
'version': 'v34',
},
'tiny-albert': {
'model': home + '/sentiment/albert/tiny/model.pb',
'quantized': home + '/sentiment/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'xlnet': {
'model': home + '/sentiment/xlnet/base/model.pb',
'quantized': home + '/sentiment/xlnet/base/quantized/model.pb',
'vocab': home + '/xlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/xlnet/sp10m.cased.v9.model',
'version': 'v34',
},
'alxlnet': {
'model': home + '/sentiment/alxlnet/base/model.pb',
'quantized': home + '/sentiment/alxlnet/base/quantized/model.pb',
'vocab': home + '/xlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/xlnet/sp10m.cased.v9.model',
'version': 'v34',
},
}
S3_PATH_SENTIMENT = {
'multinomial': {
'model': 'v34/sentiment/multinomial.pkl',
'vector': 'v34/sentiment/tfidf.pkl',
'bpe': 'v34/sentiment/bpe.model',
},
'bert': {
'model': 'v34/sentiment/bert-base-sentiment.pb',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
'quantized': 'v40/sentiment/bert-base-sentiment.pb.quantized',
},
'tiny-bert': {
'model': 'v34/sentiment/tiny-bert-sentiment.pb',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
'quantized': 'v40/sentiment/tiny-bert-sentiment.pb.quantized',
},
'albert': {
'model': 'v34/sentiment/albert-base-sentiment.pb',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
'quantized': 'v40/sentiment/albert-base-sentiment.pb.quantized',
},
'tiny-albert': {
'model': 'v34/sentiment/albert-tiny-sentiment.pb',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
'quantized': 'v40/sentiment/albert-tiny-sentiment.pb.quantized',
},
'xlnet': {
'model': 'v34/sentiment/xlnet-base-sentiment.pb',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
'quantized': 'v40/sentiment/xlnet-base-sentiment.pb.quantized',
},
'alxlnet': {
'model': 'v34/sentiment/alxlnet-base-sentiment.pb',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
'quantized': 'v40/sentiment/alxlnet-base-sentiment.pb.quantized',
},
}
PATH_SIMILARITY = {
'bert': {
'model': home + '/similarity/bert/base/model.pb',
'quantized': home + '/similarity/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v36',
},
'tiny-bert': {
'model': home + '/similarity/bert/tiny/model.pb',
'quantized': home + '/similarity/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v36',
},
'albert': {
'model': home + '/similarity/albert/base/model.pb',
'quantized': home + '/similarity/albert/base/quantized/model.pb',
'vocab': home + '/albert/sp10m.cased.v10.vocab',
'tokenizer': home + '/albert/sp10m.cased.v10.model',
'version': 'v36',
},
'tiny-albert': {
'model': home + '/similarity/albert/tiny/model.pb',
'quantized': home + '/similarity/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v36',
},
'xlnet': {
'model': home + '/similarity/xlnet/base/model.pb',
'quantized': home + '/similarity/xlnet/base/quantized/model.pb',
'vocab': home + '/xlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/xlnet/sp10m.cased.v9.model',
'version': 'v36',
},
'alxlnet': {
'model': home + '/similarity/alxlnet/base/model.pb',
'quantized': home + '/similarity/alxlnet/base/quantized/model.pb',
'vocab': home + '/xlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/xlnet/sp10m.cased.v9.model',
'version': 'v36',
},
}
S3_PATH_SIMILARITY = {
'bert': {
'model': 'v36/similarity/bert-base-similarity.pb',
'quantized': 'v40/similarity/bert-base-similarity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'tiny-bert': {
'model': 'v36/similarity/tiny-bert-similarity.pb',
'quantized': 'v40/similarity/tiny-bert-similarity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'albert': {
'model': 'v36/similarity/albert-base-similarity.pb',
'quantized': 'v40/similarity/albert-base-similarity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'tiny-albert': {
'model': 'v36/similarity/albert-tiny-similarity.pb',
'quantized': 'v40/similarity/albert-tiny-similarity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'xlnet': {
'model': 'v36/similarity/xlnet-base-similarity.pb',
'quantized': 'v40/similarity/xlnet-base-similarity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
'alxlnet': {
'model': 'v36/similarity/alxlnet-base-similarity.pb',
'quantized': 'v40/similarity/alxlnet-base-similarity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
}
PATH_STEM = {
'deep': {
'model': home + '/stem/lstm/model.pb',
'quantized': home + '/stem/lstm/quantized/model.pb',
'bpe': home + '/stem/lstm/bpe.model',
'version': 'v34',
}
}
S3_PATH_STEM = {
'deep': {
'model': 'v34/stem/model.pb',
'quantized': 'v40/stem/model.pb.quantized',
'bpe': 'v34/stem/bpe.model',
}
}
PATH_SUBJECTIVE = {
'multinomial': {
'model': home + '/subjective/multinomial/multinomial.pkl',
'vector': home + '/subjective/multinomial/tfidf.pkl',
'bpe': home + '/subjective/multinomial/bpe.model',
'version': 'v34',
},
'bert': {
'model': home + '/subjective/bert/base/model.pb',
'quantized': home + '/subjective/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'tiny-bert': {
'model': home + '/subjective/bert/tiny/model.pb',
'quantized': home + '/subjective/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'albert': {
'model': home + '/subjective/albert/base/model.pb',
'quantized': home + '/subjective/albert/base/quantized/model.pb',
'vocab': home + '/albert/sp10m.cased.v10.vocab',
'tokenizer': home + '/albert/sp10m.cased.v10.model',
'version': 'v34',
},
'tiny-albert': {
'model': home + '/subjective/albert/tiny/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'xlnet': {
'model': home + '/subjective/xlnet/base/model.pb',
'quantized': home + '/subjective/xlnet/base/quantized/model.pb',
'vocab': home + '/xlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/xlnet/sp10m.cased.v9.model',
'version': 'v34',
},
'alxlnet': {
'model': home + '/subjective/alxlnet/base/model.pb',
'quantized': home + '/subjective/alxlnet/base/quantized/model.pb',
'vocab': home + '/xlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/xlnet/sp10m.cased.v9.model',
'version': 'v34',
},
}
S3_PATH_SUBJECTIVE = {
'multinomial': {
'model': 'v34/subjective/multinomial.pkl',
'vector': 'v34/subjective/tfidf.pkl',
'bpe': 'v34/subjective/bpe.model',
},
'bert': {
'model': 'v34/subjective/bert-base-subjective.pb',
'quantized': 'v40/subjective/bert-base-subjective.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'tiny-bert': {
'model': 'v34/subjective/tiny-bert-subjective.pb',
'quantized': 'v40/subjective/tiny-bert-subjective.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'albert': {
'model': 'v34/subjective/albert-base-subjective.pb',
'quantized': 'v40/subjective/albert-base-subjective.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'tiny-albert': {
'model': 'v34/subjective/albert-tiny-subjective.pb',
'quantized': 'v40/subjective/albert-tiny-subjective.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'xlnet': {
'model': 'v34/subjective/xlnet-base-subjective.pb',
'quantized': 'v40/subjective/xlnet-base-subjective.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
'alxlnet': {
'model': 'v34/subjective/alxlnet-base-subjective.pb',
'quantized': 'v40/subjective/alxlnet-base-subjective.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
}
PATH_SUMMARIZE = {
'news': {
'model': home + '/summarize/summary-news.pb',
'setting': home + '/summarize/summary-news.json',
'version': 'v13',
},
'wiki': {
'model': home + '/summarize/summary-wiki.pb',
'setting': home + '/summarize/summary-wiki.json',
'version': 'v13',
},
't5-compressed': {
'base': {
'path': home + '/summarize/t5-compressed/base',
'directory': home + '/summarize/t5-compressed/base/model/',
'model': {
'model': home
+ '/summarize/t5-compressed/base/summarize-t5-base.tar.gz',
'version': 'v35',
},
},
'small': {
'path': home + '/summarize/t5-compressed/small',
'directory': home + '/summarize/t5-compressed/base/model/',
'model': {
'model': home
+ '/summarize/t5-compressed/small/summarize-t5-base.tar.gz',
'version': 'v35',
},
},
},
't5': {
'base': {
'model': home + '/summarize/t5/base/model.pb',
'quantized': home + '/summarize/t5/base/quantized/model.pb',
'version': 'v38',
},
'small': {
'model': home + '/summarize/t5/small/model.pb',
'quantized': home + '/summarize/t5/small/quantized/model.pb',
'version': 'v38',
},
},
'transformer': {
'base': {
'model': home + '/summarize/transformer/base/model.pb',
'quantized': home
+ '/summarize/transformer/base/quantized/model.pb',
'vocab': home + '/summarize/sp10m.cased.t5.model',
'version': 'v39',
},
'small': {
'model': home + '/summarize/transformer/small/model.pb',
'quantized': home
+ '/summarize/transformer/small/quantized/model.pb',
'vocab': home + '/summarize/sp10m.cased.t5.model',
'version': 'v39',
},
},
}
S3_PATH_SUMMARIZE = {
'news': {
'model': 'v13/summarize/summary-news.pb',
'setting': 'v13/summarize/summary-news.json',
},
'wiki': {
'model': 'v13/summarize/summary-wiki.pb',
'setting': 'v13/summarize/summary-wiki.json',
},
't5-compressed': {
'base': {'model': 'v35/summarize/argmax-summarize-t5-base.tar.gz'},
'small': {'model': 'v35/summarize/argmax-summarize-t5-small.tar.gz'},
},
't5': {
'base': {
'model': 'v38/summarize/base.pb',
'quantized': 'v40/summarize/base.pb.quantized',
},
'small': {
'model': 'v38/summarize/small.pb',
'quantized': 'v40/summarize/small.pb.quantized',
},
},
'transformer': {
'base': {
'model': 'v39/summarization/base.pb',
'quantized': 'v40/summarize/transformer-base.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.t5.model',
},
'small': {
'model': 'v39/summarization/small.pb',
'quantized': 'v40/summarize/transformer-small.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.t5.model',
},
},
}
PATH_TOXIC = {
'multinomial': {
'model': home + '/toxicity/multinomial/multinomial.pkl',
'vector': home + '/toxicity/multinomial/tfidf.pkl',
'bpe': home + '/toxicity/multinomial/bpe.model',
'version': 'v34',
},
'bert': {
'model': home + '/toxicity/bert/base/model.pb',
'quantized': home + '/toxicity/bert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'tiny-bert': {
'model': home + '/toxicity/bert/tiny/model.pb',
'quantized': home + '/toxicity/bert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.bert.vocab',
'tokenizer': home + '/bert/sp10m.cased.bert.model',
'version': 'v34',
},
'albert': {
'model': home + '/toxicity/albert/base/model.pb',
'quantized': home + '/toxicity/albert/base/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v34',
},
'tiny-albert': {
'model': home + '/toxicity/albert/tiny/model.pb',
'quantized': home + '/toxicity/albert/tiny/quantized/model.pb',
'vocab': home + '/bert/sp10m.cased.v10.vocab',
'tokenizer': home + '/bert/sp10m.cased.v10.model',
'version': 'v34',
},
'xlnet': {
'model': home + '/toxicity/xlnet/base/model.pb',
'quantized': home + '/toxicity/xlnet/base/quantized/model.pb',
'vocab': home + '/xlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/xlnet/sp10m.cased.v9.model',
'version': 'v34',
},
'alxlnet': {
'model': home + '/toxicity/alxlnet/base/model.pb',
'quantized': home + '/toxicity/alxlnet/base/quantized/model.pb',
'vocab': home + '/alxlnet/sp10m.cased.v9.vocab',
'tokenizer': home + '/alxlnet/sp10m.cased.v9.model',
'version': 'v34',
},
}
S3_PATH_TOXIC = {
'multinomial': {
'model': 'v34/toxicity/multinomial.pkl',
'vector': 'v34/toxicity/tfidf.pkl',
'bpe': 'v34/toxicity/bpe.model',
},
'bert': {
'model': 'v34/toxicity/bert-base-toxicity.pb',
'quantized': 'v40/toxicity/bert-base-toxicity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'tiny-bert': {
'model': 'v34/toxicity/tiny-bert-toxicity.pb',
'quantized': 'v40/toxicity/tiny-bert-toxicity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.bert.vocab',
'tokenizer': 'tokenizer/sp10m.cased.bert.model',
},
'albert': {
'model': 'v34/toxicity/albert-base-toxicity.pb',
'quantized': 'v40/toxicity/albert-base-toxicity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'tiny-albert': {
'model': 'v34/toxicity/albert-tiny-toxicity.pb',
'quantized': 'v40/toxicity/albert-tiny-toxicity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v10.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v10.model',
},
'xlnet': {
'model': 'v34/toxicity/xlnet-base-toxicity.pb',
'quantized': 'v40/toxicity/xlnet-base-toxicity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
'alxlnet': {
'model': 'v34/toxicity/alxlnet-base-toxicity.pb',
'quantized': 'v40/toxicity/alxlnet-base-toxicity.pb.quantized',
'vocab': 'tokenizer/sp10m.cased.v9.vocab',
'tokenizer': 'tokenizer/sp10m.cased.v9.model',
},
}
PATH_TRANSLATION = {
'ms-en': {
'base': {
'model': home + '/translation/ms-en/base/model.pb',
'quantized': home + '/translation/ms-en/base/quantized/model.pb',
'vocab': home + '/translation/ms-en/base/vocab.subwords',
'version': 'v37',
},
'large': {
'model': home + '/translation/ms-en/large/model.pb',
'quantized': home + '/translation/ms-en/large/quantized/model.pb',
'vocab': home + '/translation/ms-en/large/vocab.subwords',
'version': 'v37',
},
'small': {
'model': home + '/translation/ms-en/small/model.pb',
'quantized': home + '/translation/ms-en/small/quantized/model.pb',
'vocab': home + '/translation/ms-en/small/vocab.subwords',
'version': 'v37',
},
},
'en-ms': {
'base': {
'model': home + '/translation/en-ms/base/model.pb',
'quantized': home + '/translation/en-ms/base/quantized/model.pb',
'vocab': home + '/translation/en-ms/base/vocab.subwords',
'version': 'v38',
},
'large': {
'model': home + '/translation/en-ms/large/model.pb',
'quantized': home + '/translation/en-ms/large/quantized/model.pb',
'vocab': home + '/translation/en-ms/large/vocab.subwords',
'version': 'v38',
},
'small': {
'model': home + '/translation/en-ms/small/model.pb',
'quantized': home + '/translation/en-ms/small/quantized/model.pb',
'vocab': home + '/translation/en-ms/small/vocab.subwords',
'version': 'v38',
},
},
}
S3_PATH_TRANSLATION = {
'ms-en': {
'base': {
'model': 'v37/translation/ms-en/base-translation.pb',
'quantized': 'v40/translation/ms-en/base-translation.pb.quantized',
'vocab': 'v37/translation/ms-en/vocab.subwords',
},
'large': {
'model': 'v37/translation/ms-en/large-translation.pb',
'quantized': 'v40/translation/ms-en/large-translation.pb.quantized',
'vocab': 'v37/translation/ms-en/vocab.subwords',
},
'small': {
'model': 'v37/translation/ms-en/small-translation.pb',
'quantized': 'v40/translation/ms-en/small-translation.pb.quantized',
'vocab': 'v37/translation/ms-en/vocab.subwords',
},
},
'en-ms': {
'base': {
'model': 'v38/translation/en-ms/base-translation.pb',
'quantized': 'v40/translation/en-ms/base-translation.pb.quantized',
'vocab': 'v38/translation/en-ms/vocab.subwords',
},
'large': {
'model': 'v38/translation/en-ms/large-translation.pb',
'quantized': 'v40/translation/en-ms/large-translation.pb.quantized',
'vocab': 'v38/translation/en-ms/vocab.subwords',
},
'small': {
'model': 'v38/translation/en-ms/small-translation.pb',
'quantized': 'v38/translation/en-ms/small-translation.pb.quantized',
'vocab': 'v38/translation/en-ms/vocab.subwords',
},
},
}
PATH_TRUE_CASE = {
'base': {
'model': home + '/true-case/base.pb',
'quantized': home + '/true-case/quantized/base.pb',
'vocab': home + '/true-case/vocab.yttm',
'version': 'v39',
},
'small': {
'model': home + '/true-case/small.pb',
'quantized': home + '/true-case/quantized/small.pb',
'vocab': home + '/true-case/vocab.yttm',
'version': 'v39',
},
}
S3_PATH_TRUE_CASE = {
'base': {
'model': 'v39/true-case/base.pb',
'quantized': 'v40/true-case/base.pb.quantized',
'vocab': 'tokenizer/truecase.yttm',
},
'small': {
'model': 'v39/true-case/small.pb',
'quantized': 'v40/true-case/small.pb.quantized',
'vocab': 'tokenizer/truecase.yttm',
},
}
PATH_ELECTRA = {
'electra': {
'path': home + '/electra-model/base',
'directory': home + '/electra-model/base/electra-base/',
'model': {
'model': home + '/electra-model/base/electra-bahasa-base.tar.gz',
'version': 'v34',
},
},
'small-electra': {
'path': home + '/electra-model/small',
'directory': home + '/electra-model/small/electra-small/',
'model': {
'model': home + '/electra-model/small/electra-bahasa-small.tar.gz',
'version': 'v34',
},
},
}
S3_PATH_ELECTRA = {
'electra': {'model': 'v34/pretrained-model/electra-base.tar.gz'},
'small-electra': {'model': 'v34/pretrained-model/electra-small.tar.gz'},
}
PATH_BERT = {
'bert': {
'path': home + '/bert-model/base',
'directory': home + '/bert-model/base/bert-base-v3/',
'model': {
'model': home + '/bert-model/base/bert-bahasa-base.tar.gz',
'version': 'v34',
},
},
'tiny-bert': {
'path': home + '/bert-model/tiny',
'directory': home + '/bert-model/tiny/tiny-bert-v1/',
'model': {
'model': home + '/bert-model/tiny/tiny-bert-bahasa.tar.gz',
'version': 'v34',
},
},
}
S3_PATH_BERT = {
'bert': {'model': 'v34/pretrained-model/bert-base.tar.gz'},
'tiny-bert': {'model': 'v34/pretrained-model/tiny-bert.tar.gz'},
}
PATH_ALBERT = {
'albert': {
'path': home + '/albert-model/base',
'directory': home + '/albert-model/base/albert-base/',
'model': {
'model': home + '/albert-model/base/albert-bahasa-base.tar.gz',
'version': 'v34',
},
},
'tiny-albert': {
'path': home + '/albert-model/tiny',
'directory': home + '/albert-model/tiny/albert-tiny/',
'model': {
'model': home + '/albert-model/tiny/albert-bahasa-tiny.tar.gz',
'version': 'v34',
},
},
}
S3_PATH_ALBERT = {
'albert': {'model': 'v34/pretrained-model/albert-base.tar.gz'},
'tiny-albert': {'model': 'v34/pretrained-model/albert-tiny.tar.gz'},
}
PATH_XLNET = {
'xlnet': {
'path': home + '/xlnet-model/base',
'directory': home + '/xlnet-model/base/xlnet-base/',
'model': {
'model': home + '/xlnet-model/base/xlnet-base.tar.gz',
'version': 'v34',
},
}
}
S3_PATH_XLNET = {'xlnet': {'model': 'v34/pretrained-model/xlnet-base.tar.gz'}}
PATH_ALXLNET = {
'alxlnet': {
'path': home + '/alxlnet-model/base',
'directory': home + '/alxlnet-model/base/alxlnet-base/',
'model': {
'model': home + '/alxlnet-model/base/alxlnet-base.tar.gz',
'version': 'v34',
},
}
}
S3_PATH_ALXLNET = {
'alxlnet': {'model': 'v34/pretrained-model/alxlnet-base.tar.gz'}
}
PATH_GPT2 = {
'117M': {
'path': home + '/gpt2/117M/',
'directory': home + '/gpt2/117M/gpt2-bahasa-117M/',
'model': {
'model': home + '/gpt2/117M/gpt2-117M.tar.gz',
'version': 'v34',
},
},
'345M': {
'path': home + '/gpt2/345M/',
'directory': home + '/gpt2/345M/gpt2-bahasa-345M/',
'model': {
'model': home + '/gpt2/345M/gpt2-345M.tar.gz',
'version': 'v34',
},
},
}
S3_PATH_GPT2 = {
'117M': {'model': 'v34/pretrained-model/gpt2-bahasa-117M.tar.gz'},
'345M': {'model': 'v34/pretrained-model/gpt2-bahasa-345M.tar.gz'},
}
PATH_WORDVECTOR = {
'news': {
'vocab': home + '/wordvector/news/wordvector.json',
'model': home + '/wordvector/news/wordvector.npy',
'version': 'v31',
},
'wikipedia': {
'vocab': home + '/wordvector/wikipedia/wordvector.json',
'model': home + '/wordvector/wikipedia/wordvector.npy',
'version': 'v31',
},
'socialmedia': {
'vocab': home + '/wordvector/socialmedia/wordvector.json',
'model': home + '/wordvector/socialmedia/wordvector.npy',
'version': 'v31',
},
'combine': {
'vocab': home + '/wordvector/combine/wordvector.json',
'model': home + '/wordvector/combine/wordvector.npy',
'version': 'v34',
},
}
S3_PATH_WORDVECTOR = {
'news': {
'vocab': 'bert-bahasa/word2vec-news-ms-256.json',
'model': 'bert-bahasa/word2vec-news-ms-256.npy',
},
'wikipedia': {
'vocab': 'bert-bahasa/word2vec-wiki-ms-256.json',
'model': 'bert-bahasa/word2vec-wiki-ms-256.npy',
},
'socialmedia': {
'vocab': 'bert-bahasa/word2vec-ms-socialmedia-256.json',
'model': 'bert-bahasa/word2vec-ms-socialmedia-256.npy',
},
'combine': {
'vocab': 'bert-bahasa/word2vec-combined-256.json',
'model': 'bert-bahasa/word2vec-combined-256.npy',
},
}
| 36.919467 | 121 | 0.563361 | 6,118 | 58,222 | 5.34423 | 0.025989 | 0.07585 | 0.070896 | 0.052851 | 0.859157 | 0.735228 | 0.534653 | 0.470486 | 0.43932 | 0.434059 | 0 | 0.037482 | 0.240236 | 58,222 | 1,576 | 122 | 36.942893 | 0.701662 | 0.001065 | 0 | 0.430921 | 0 | 0.001316 | 0.586815 | 0.438598 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.000658 | 0 | 0.000658 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 1 | 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 |
63887f373bdf05383a23eb7964c78efcfe8c7e19 | 6,499 | py | Python | math.py | ericpearl/python-skeletons | 95ad24b666e475998e5d1cc02ed53a2188036167 | [
"Apache-2.0"
] | 93 | 2015-01-20T06:36:59.000Z | 2021-11-08T09:49:59.000Z | math.py | ericpearl/python-skeletons | 95ad24b666e475998e5d1cc02ed53a2188036167 | [
"Apache-2.0"
] | 14 | 2015-05-23T23:19:41.000Z | 2021-12-01T01:02:36.000Z | math.py | ericpearl/python-skeletons | 95ad24b666e475998e5d1cc02ed53a2188036167 | [
"Apache-2.0"
] | 62 | 2015-01-30T13:13:39.000Z | 2022-03-19T08:26:45.000Z | """Skeleton for 'math' stdlib module."""
import sys
import math
def ceil(x):
"""Return the ceiling of x as a float, the smallest integer value greater
than or equal to x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
if sys.version_info >= (2, 6):
def copysign(x, y):
"""Return x with the sign of y. On a platform that supports signed
zeros, copysign(1.0, -0.0) returns -1.0.
:type x: numbers.Real
:type y: numbers.Real
:rtype: float
"""
return 0.0
def fabs(x):
"""Return the absolute value of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
if sys.version_info >= (2, 6):
def factorial(x):
"""Return x factorial.
:type x: numbers.Integral
:rtype: int
"""
return 0
def floor(x):
"""Return the floor of x as a float, the largest integer value less than or
equal to x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def fmod(x, y):
"""Return fmod(x, y), as defined by the platform C library.
:type x: numbers.Real
:type y: numbers.Real
:rtype: float
"""
return 0.0
def frexp(x):
"""Return the mantissa and exponent of x as the pair (m, e).
:type x: numbers.Real
:rtype: (float, int)
"""
return 0.0, 0
if sys.version_info >= (2, 6):
def fsum(iterable):
"""Return an accurate floating point sum of values in the iterable.
:type iterable: collections.Iterable[numbers.Real]
:rtype: float
"""
return 0.0
def isinf(x):
"""Check if the float x is positive or negative infinity.
:type x: numbers.Real
:rtype: bool
"""
return False
def isnan(x):
"""Check if the float x is a NaN (not a number).
:type x: numbers.Real
:rtype: bool
"""
return False
def ldexp(x, i):
"""Return x * (2**i).
:type x: numbers.Real
:type i: numbers.Integral
:rtype: float
"""
return 0.0
def modf(x):
"""Return the fractional and integer parts of x.
:type x: numbers.Real
:rtype: (float, float)
"""
return 0.0, 0.0
if sys.version_info >= (2, 6):
def trunc(x):
"""Return the Real value x truncated to an Integral (usually a long
integer).
:type x: numbers.Real
:rtype: int
"""
return 0
def exp(x):
"""Return e**x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
if sys.version_info >= (2, 7):
def expm1(x):
"""Return e**x - 1.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def log(x, base=math.e):
"""With one argument, return the natural logarithm of x (to base e).
With two arguments, return the logarithm of x to the given base, calculated
as log(x)/log(base).
:type x: numbers.Real
:type base: numbers.Real
:rtype: float
"""
return 0.0
if sys.version_info >= (2, 6):
def log1p(x):
"""Return the natural logarithm of 1+x (base e).
:type x: numbers.Real
:rtype: float
"""
return 0.0
def log10(x):
"""Return the base-10 logarithm of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def pow(x, y):
"""Return x raised to the power y.
:type x: numbers.Real
:type y: numbers.Real
:rtype: float
"""
return 0.0
def sqrt(x):
"""Return the square root of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def acos(x):
"""Return the arc cosine of x, in radians.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def asin(x):
"""Return the arc sine of x, in radians.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def atan(x):
"""Return the arc tangent of x, in radians.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def atan2(y, x):
"""Return atan(y / x), in radians.
:type y: numbers.Real
:type x: numbers.Real
:rtype: float
"""
return 0.0
def cos(x):
"""Return the cosine of x radians.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def hypot(x, y):
"""Return the Euclidean norm, sqrt(x*x + y*y).
:type x: numbers.Real
:type y: numbers.Real
:rtype: float
"""
return 0.0
def sin(x):
"""Return the sine of x radians.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def tan(x):
"""Return the tangent of x radians.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def degrees(x):
"""Converts angle x from radians to degrees.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def radians(x):
"""Converts angle x from degrees to radians.
:type x: numbers.Real
:rtype: float
"""
return 0.0
if sys.version_info >= (2, 6):
def acosh(x):
"""Return the inverse hyperbolic cosine of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def asinh(x):
"""Return the inverse hyperbolic sine of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def atanh(x):
"""Return the inverse hyperbolic tangent of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def cosh(x):
"""Return the hyperbolic cosine of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def sinh(x):
"""Return the hyperbolic sine of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def tanh(x):
"""Return the hyperbolic tangent of x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
if sys.version_info >= (2, 7):
def erf(x):
"""Return the error function at x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def erfc(x):
"""Return the complementary error function at x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def gamma(x):
"""Return the Gamma function at x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
def lgamma(x):
"""Return the natural logarithm of the absolute value of the Gamma
function at x.
:type x: numbers.Real
:rtype: float
"""
return 0.0
| 17.013089 | 79 | 0.542083 | 933 | 6,499 | 3.767417 | 0.166131 | 0.140825 | 0.133144 | 0.172973 | 0.62845 | 0.569275 | 0.539403 | 0.520626 | 0.503272 | 0.481081 | 0 | 0.025191 | 0.334205 | 6,499 | 381 | 80 | 17.057743 | 0.78715 | 0.554393 | 0 | 0.511111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.444444 | false | 0 | 0.022222 | 0 | 0.911111 | 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 |
638b5ce817706d65ba1787125a1fcd4bdbbbf074 | 332 | py | Python | arcade/intro/a. 4. adjacent-elements-product/adjacent_elements_product.py | jeury301/code-fights | 379dd541aed0f3918cf1659b635ec51368b0b349 | [
"MIT"
] | null | null | null | arcade/intro/a. 4. adjacent-elements-product/adjacent_elements_product.py | jeury301/code-fights | 379dd541aed0f3918cf1659b635ec51368b0b349 | [
"MIT"
] | null | null | null | arcade/intro/a. 4. adjacent-elements-product/adjacent_elements_product.py | jeury301/code-fights | 379dd541aed0f3918cf1659b635ec51368b0b349 | [
"MIT"
] | null | null | null | def adjacentElementsProduct(inputArray):
first, second = 0, 1
lp = inputArray[first]*inputArray[second]
for index in range(2, len(inputArray)):
first = second
second = index
new_lp = inputArray[first]*inputArray[second]
if new_lp > lp:
lp = new_lp
return lp
| 25.538462 | 53 | 0.590361 | 38 | 332 | 5.078947 | 0.447368 | 0.310881 | 0.217617 | 0.279793 | 0.341969 | 0 | 0 | 0 | 0 | 0 | 0 | 0.013333 | 0.322289 | 332 | 12 | 54 | 27.666667 | 0.844444 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.1 | false | 0 | 0 | 0 | 0.2 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
63972bb13121477bd416502e913baf2c007b0dd9 | 2,259 | py | Python | src/nti/app/pyramid_zope/tests/test_traversal.py | NextThought/nti.app.pyramid_zope | 7d2f2b1fa0a04e4973358820c1c777b6ad7e8a3c | [
"Apache-2.0"
] | 1 | 2020-05-06T04:19:59.000Z | 2020-05-06T04:19:59.000Z | src/nti/app/pyramid_zope/tests/test_traversal.py | NextThought/nti.app.pyramid_zope | 7d2f2b1fa0a04e4973358820c1c777b6ad7e8a3c | [
"Apache-2.0"
] | 18 | 2019-12-31T20:39:02.000Z | 2021-04-09T16:00:15.000Z | src/nti/app/pyramid_zope/tests/test_traversal.py | NextThought/nti.app.pyramid_zope | 7d2f2b1fa0a04e4973358820c1c777b6ad7e8a3c | [
"Apache-2.0"
] | null | null | null | #!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Tests for traversal.py.
"""
from __future__ import print_function, unicode_literals
import unittest
from zope import interface
from zope.traversing import interfaces as trv_interfaces
from pyramid.testing import DummyRequest
from hamcrest import assert_that
from hamcrest import has_entries
from hamcrest import is_
from . import ConfiguringLayer
from .. import traversal
class TestTraversal(unittest.TestCase):
def test_unicode_traversal(self):
# UnicodeEncodeError is specially handled
# by the traversing machinery and doesn't raise
# an error. (This is in zope.traversing.)
# On Python 2, this was triggered in the real world by
# attempting to access a non-ASCII attribute on an object
# (which isn't allowed); this happened in the real world:
# getattr(self, u'\u2019', None) # Raise unicode error
# On Python 3, though, that's fine and is
# allowed. The UnicodEncodeError constructor takes lots of
# parameters, so rather than instantiate directly, we
# trigger it indirectly by encoding --- as Python2 would do.
@interface.implementer(trv_interfaces.ITraversable)
class BrokenTraversable(object):
raised = False
def traverse(self, name, furtherPath): # pylint:disable=unused-argument
BrokenTraversable.raised = True
return u'\u2019'.encode('ascii')
@interface.implementer(trv_interfaces.ITraversable)
class Root(object):
def traverse(self, name, furtherPath): # pylint:disable=unused-argument
return BrokenTraversable()
req = DummyRequest(path='/a/b/c')
req.matchdict = {'traverse': ('a', 'b', 'c')}
result = traversal.ZopeResourceTreeTraverser(Root())(req)
self.assertTrue(BrokenTraversable.raised)
assert_that(result, has_entries(
context=is_(BrokenTraversable),
root=is_(Root),
))
class TestConfiguration(unittest.TestCase):
layer = ConfiguringLayer
def test_configures(self):
"""
Setting up the layer either works or fails.
"""
# TODO: More specific tests
| 32.271429 | 84 | 0.666224 | 256 | 2,259 | 5.804688 | 0.535156 | 0.026245 | 0.036339 | 0.018843 | 0.144011 | 0.144011 | 0.076716 | 0.076716 | 0.076716 | 0 | 0 | 0.007071 | 0.248783 | 2,259 | 69 | 85 | 32.73913 | 0.868592 | 0.333333 | 0 | 0.121212 | 0 | 0 | 0.019191 | 0 | 0 | 0 | 0 | 0.014493 | 0.090909 | 1 | 0.121212 | false | 0 | 0.30303 | 0.030303 | 0.636364 | 0.030303 | 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 |
63a9c06bef9e3c52d993175d16e6f40a7f3e4e4a | 67 | py | Python | tests/test_loop_3.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 108 | 2015-02-04T14:16:51.000Z | 2022-03-06T13:52:45.000Z | tests/test_loop_3.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 92 | 2015-01-19T14:58:06.000Z | 2021-04-19T17:28:50.000Z | tests/test_loop_3.py | raffaelfoidl/noworkflow | aa4ca189df24fec6c7abd32bcca6a097b21fdf31 | [
"MIT"
] | 31 | 2015-03-03T23:53:59.000Z | 2021-11-11T04:23:44.000Z | def y():
pass
def x():
y()
for i in range(10):
x()
| 6.090909 | 19 | 0.402985 | 12 | 67 | 2.25 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.05 | 0.402985 | 67 | 10 | 20 | 6.7 | 0.625 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.333333 | false | 0.166667 | 0 | 0 | 0.333333 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
63abf18ee5311e15b0d4e04691d32fbb3e20e153 | 1,357 | py | Python | epython/portfolio_management/portfolio/instrument.py | juggler99/epython-showcase | 6f458ea67c6110f9ae311d2b0eac1dbbc29e5afa | [
"MIT"
] | null | null | null | epython/portfolio_management/portfolio/instrument.py | juggler99/epython-showcase | 6f458ea67c6110f9ae311d2b0eac1dbbc29e5afa | [
"MIT"
] | null | null | null | epython/portfolio_management/portfolio/instrument.py | juggler99/epython-showcase | 6f458ea67c6110f9ae311d2b0eac1dbbc29e5afa | [
"MIT"
] | null | null | null | import kydb
from portfolio_management.common.base_item import BaseItem
class InstrumentBase(BaseItem, kydb.DbObj):
"""
Represents a financial instrument
There are different types
The idea is to provide a symbol
and the system will pick the fill instrument definition from a data source
Still needs instrument type enumeration
"""
@kydb.stored
def instrument_type(self) -> str:
return ''
@kydb.stored
def category(self) -> str:
return ''
@kydb.stored
def description(self) -> str:
return ''
@kydb.stored
def venue(self) -> str:
return ''
def __str__(self):
return '{0}[{1}]: {2}'.format(self.id(), self.instrument_type(), self.category())
class Instrument(InstrumentBase):
"""
Equity instrument
"""
@kydb.stored
def name(self) -> str:
return ''
@kydb.stored
def symbol(self) -> str:
return ''
def __str__(self):
return '{0} {1}-{2}'.format(super().__str__(), self.name(), self.symbol())
class InstrumentFx(InstrumentBase):
"""
Fx Spot Instrument
"""
@kydb.stored
def ccy_pair(self) -> str:
return ''
def __str__(self):
return '{0} {1}'.format(super().__str__(), self.ccy_pair())
def main():
pass
if __name__ == '__main__':
main()
| 19.385714 | 89 | 0.599853 | 158 | 1,357 | 4.936709 | 0.392405 | 0.089744 | 0.116667 | 0.087179 | 0.270513 | 0.270513 | 0.137179 | 0.137179 | 0.137179 | 0.097436 | 0 | 0.00804 | 0.266765 | 1,357 | 69 | 90 | 19.666667 | 0.775879 | 0.179071 | 0 | 0.472222 | 0 | 0 | 0.037072 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.305556 | false | 0.027778 | 0.055556 | 0.277778 | 0.722222 | 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 |
63c130324b5b8ef6537c111f2454f399f367ff01 | 196 | py | Python | gnpy/tools/__init__.py | odd22/gnpy | d28c67143eb36b0516721b19643971edb0129331 | [
"BSD-3-Clause"
] | 98 | 2018-06-05T22:05:18.000Z | 2022-03-21T18:38:28.000Z | gnpy/tools/__init__.py | odd22/gnpy | d28c67143eb36b0516721b19643971edb0129331 | [
"BSD-3-Clause"
] | 244 | 2018-06-07T14:08:22.000Z | 2022-03-31T17:52:30.000Z | gnpy/tools/__init__.py | odd22/gnpy | d28c67143eb36b0516721b19643971edb0129331 | [
"BSD-3-Clause"
] | 69 | 2018-06-29T15:42:23.000Z | 2022-03-24T20:43:56.000Z | '''
Processing of data via :py:mod:`.json_io`.
Utilities for Excel conversion in :py:mod:`.convert` and :py:mod:`.service_sheet`.
Example code in :py:mod:`.cli_examples` and :py:mod:`.plots`.
'''
| 32.666667 | 82 | 0.693878 | 32 | 196 | 4.15625 | 0.6875 | 0.18797 | 0.105263 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.107143 | 196 | 5 | 83 | 39.2 | 0.76 | 0.954082 | 0 | null | 0 | null | 0 | 0 | null | 0 | 0 | 0 | null | 1 | null | true | 0 | 0 | null | null | null | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
63cb8d95a386fc3fa1dc715142c15b5337882445 | 207 | py | Python | tests/resources/noxfile_pythons.py | ktbarrett/nox | bf1c226de1c14c576537cf81f629571e5015784f | [
"Apache-2.0"
] | 41 | 2016-03-03T11:18:49.000Z | 2018-04-09T09:58:13.000Z | tests/resources/noxfile_pythons.py | ktbarrett/nox | bf1c226de1c14c576537cf81f629571e5015784f | [
"Apache-2.0"
] | 79 | 2016-03-03T17:02:53.000Z | 2018-04-23T16:25:51.000Z | tests/resources/noxfile_pythons.py | ktbarrett/nox | bf1c226de1c14c576537cf81f629571e5015784f | [
"Apache-2.0"
] | 14 | 2016-03-03T18:22:20.000Z | 2018-01-18T15:55:10.000Z | from __future__ import annotations
import nox
@nox.session(python=["3.6"])
@nox.parametrize("cheese", ["cheddar", "jack", "brie"])
def snack(unused_session, cheese):
print(f"Noms, {cheese} so good!")
| 20.7 | 55 | 0.690821 | 28 | 207 | 4.928571 | 0.785714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010989 | 0.120773 | 207 | 9 | 56 | 23 | 0.747253 | 0 | 0 | 0 | 0 | 0 | 0.227053 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.166667 | false | 0 | 0.333333 | 0 | 0.5 | 0.166667 | 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 |
63cbe6e48fa63ec40b4bcc7fc7905950dae6a072 | 208 | py | Python | modules/imports.py | williamcanin/pykernel | 8196c5f311d8e4100164dfb8e2c694b72c716627 | [
"MIT"
] | null | null | null | modules/imports.py | williamcanin/pykernel | 8196c5f311d8e4100164dfb8e2c694b72c716627 | [
"MIT"
] | null | null | null | modules/imports.py | williamcanin/pykernel | 8196c5f311d8e4100164dfb8e2c694b72c716627 | [
"MIT"
] | null | null | null | import requests
import sys
import os
from argparse import ArgumentParser
from pathlib import Path
import json
from tqdm import tqdm
# Modules for next version.
# import re
# import platform
# import tarfile
| 16 | 35 | 0.807692 | 30 | 208 | 5.6 | 0.6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.168269 | 208 | 12 | 36 | 17.333333 | 0.971098 | 0.317308 | 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 |
892835d24a7155d168e8b2ab1cd52bd0d3a476d5 | 258 | py | Python | setup.py | teristam/openephys-fileIO | 8089e7c4aff829c13a79656b8812a3d3e68eb1eb | [
"MIT"
] | 1 | 2020-08-16T21:52:10.000Z | 2020-08-16T21:52:10.000Z | setup.py | teristam/openephys-fileIO | 8089e7c4aff829c13a79656b8812a3d3e68eb1eb | [
"MIT"
] | null | null | null | setup.py | teristam/openephys-fileIO | 8089e7c4aff829c13a79656b8812a3d3e68eb1eb | [
"MIT"
] | null | null | null | from distutils.core import setup
setup(
name='openephys_fileIO',
version='0.1.0',
author='Teris Tam',
package=['openephys_fileIO'],
install_requires=[
'numpy',
'scipy',
'pytest',
'pytest-benchmark'
]
) | 18.428571 | 33 | 0.569767 | 26 | 258 | 5.538462 | 0.807692 | 0.208333 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.016216 | 0.282946 | 258 | 14 | 34 | 18.428571 | 0.762162 | 0 | 0 | 0 | 0 | 0 | 0.301158 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.076923 | 0 | 0.076923 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
89283821324389e9a99f615f400f664e2d780ab2 | 433 | py | Python | tagdata/elk_index.py | madelinemccombe/parse_threat_data | a02a82479fe35ee26e7c7b1087b90d9e64609fbc | [
"MIT"
] | null | null | null | tagdata/elk_index.py | madelinemccombe/parse_threat_data | a02a82479fe35ee26e7c7b1087b90d9e64609fbc | [
"MIT"
] | null | null | null | tagdata/elk_index.py | madelinemccombe/parse_threat_data | a02a82479fe35ee26e7c7b1087b90d9e64609fbc | [
"MIT"
] | 1 | 2022-02-14T14:28:59.000Z | 2022-02-14T14:28:59.000Z | ####!/usr/bin/env python3
"""
Parse data files with json output for estack bulk load
"""
def elk_index(elk_index_name):
""" Index setup for ELK Stack bulk install """
index_tag_full = {}
index_tag_inner = {}
index_tag_inner['_index'] = elk_index_name
index_tag_inner['_type'] = elk_index_name
index_tag_full['index'] = index_tag_inner
return index_tag_full
if __name__ == '__main__':
elk_index()
| 21.65 | 54 | 0.688222 | 63 | 433 | 4.222222 | 0.444444 | 0.210526 | 0.195489 | 0.191729 | 0.25188 | 0 | 0 | 0 | 0 | 0 | 0 | 0.002865 | 0.193995 | 433 | 19 | 55 | 22.789474 | 0.759312 | 0.267898 | 0 | 0 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.111111 | false | 0 | 0 | 0 | 0.222222 | 0 | 0 | 0 | 0 | null | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
894d823b6b4aec8146f00c95504f05e1ddeb4a16 | 160 | py | Python | src/flow/urls.py | OpenROAD-Cloud/flow-runner | 1a9a22c8fa249d7fcd8d282d1c958033f64f25f3 | [
"BSD-2-Clause"
] | null | null | null | src/flow/urls.py | OpenROAD-Cloud/flow-runner | 1a9a22c8fa249d7fcd8d282d1c958033f64f25f3 | [
"BSD-2-Clause"
] | 2 | 2020-02-12T03:21:51.000Z | 2020-02-12T03:24:13.000Z | src/flow/urls.py | OpenROAD-Cloud/flow-runner | 1a9a22c8fa249d7fcd8d282d1c958033f64f25f3 | [
"BSD-2-Clause"
] | null | null | null | from django.contrib import admin
from django.urls import path, include
urlpatterns = [
path('', include(('runner.urls', 'runner'), namespace='runner')),
]
| 22.857143 | 69 | 0.7 | 19 | 160 | 5.894737 | 0.578947 | 0.178571 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.1375 | 160 | 6 | 70 | 26.666667 | 0.811594 | 0 | 0 | 0 | 0 | 0 | 0.14375 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.4 | 0 | 0.4 | 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 |
894eadf0b2e1956cbdeee439766cf9428c165d8b | 135 | py | Python | src/greedy.py | joezeng/pdc2014 | d38f22c7c27f5d67e7522a417f42a93aaad0499b | [
"MIT"
] | null | null | null | src/greedy.py | joezeng/pdc2014 | d38f22c7c27f5d67e7522a417f42a93aaad0499b | [
"MIT"
] | null | null | null | src/greedy.py | joezeng/pdc2014 | d38f22c7c27f5d67e7522a417f42a93aaad0499b | [
"MIT"
] | 1 | 2018-11-20T18:50:25.000Z | 2018-11-20T18:50:25.000Z | import sys
line1 = sys.stdin.readline()
n = [int(i) for i in line1.split()]
for i in range(n[0]):
if i+1 != n[1]:
print i+1,
print
| 15 | 35 | 0.607407 | 29 | 135 | 2.827586 | 0.551724 | 0.097561 | 0.146341 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.055556 | 0.2 | 135 | 8 | 36 | 16.875 | 0.703704 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.142857 | null | null | 0.285714 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
895591ad0bb73ab96aefe3f4d86ed1066b83c51c | 181 | py | Python | searchapp/models.py | kaiocesar/django-algolia | b2105ca79a6fa7d72f4935caee86facc479b096f | [
"MIT"
] | null | null | null | searchapp/models.py | kaiocesar/django-algolia | b2105ca79a6fa7d72f4935caee86facc479b096f | [
"MIT"
] | null | null | null | searchapp/models.py | kaiocesar/django-algolia | b2105ca79a6fa7d72f4935caee86facc479b096f | [
"MIT"
] | null | null | null | from django.db import models
class Posts(models.Model):
title = models.CharField(max_length=200)
content = models.TextField()
create_at = models.DateTimeField(auto_now_add=True) | 30.166667 | 52 | 0.79558 | 26 | 181 | 5.384615 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.018405 | 0.099448 | 181 | 6 | 52 | 30.166667 | 0.840491 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
895b08ad25f5d233542bda8e03dbd18c2e40d28e | 7,346 | py | Python | api/wecubek8s/wecubek8s/common/k8s.py | zgyzgyhero/wecube-plugins-kubernetes | 99982a7a21dff2e54653ecf61055c54e08065087 | [
"Apache-2.0"
] | 6 | 2020-12-07T01:32:40.000Z | 2021-07-16T05:52:41.000Z | api/wecubek8s/wecubek8s/common/k8s.py | zgyzgyhero/wecube-plugins-kubernetes | 99982a7a21dff2e54653ecf61055c54e08065087 | [
"Apache-2.0"
] | 1 | 2021-06-11T13:18:24.000Z | 2021-06-11T13:18:24.000Z | api/wecubek8s/wecubek8s/common/k8s.py | zgyzgyhero/wecube-plugins-kubernetes | 99982a7a21dff2e54653ecf61055c54e08065087 | [
"Apache-2.0"
] | 2 | 2020-12-23T08:17:13.000Z | 2021-06-11T13:10:16.000Z | # coding=utf-8
# coding=utf-8
from __future__ import absolute_import
import logging
import json
import base64
import urllib3
from kubernetes import client
from kubernetes.client import exceptions as k8s_exceptions
from talos.core import config
from talos.core.i18n import _
from wecubek8s.common import exceptions
urllib3.disable_warnings()
LOG = logging.getLogger(__name__)
CONF = config.CONF
class AuthToken:
def __init__(self, api_server, token) -> None:
self.api_server = api_server
self.token = token
def __call__(self, configuration) -> None:
configuration.host = self.api_server
configuration.verify_ssl = False
configuration.api_key = {"authorization": "Bearer " + self.token}
class AuthUserPass:
def __init__(self, api_server, username, password) -> None:
self.api_server = api_server
self.username = username
self.password = password
def __call__(self, configuration) -> None:
raise NotImplementedError()
class Client:
def __init__(self, auth) -> None:
configuration = client.Configuration()
auth(configuration)
self.auth = auth
api_client = client.ApiClient(configuration)
self.core_client = client.CoreV1Api(api_client)
self.app_client = client.AppsV1Api(api_client)
def _action(self, client, func_name, *args, **kwargs):
func = getattr(client, func_name)
try:
result = func(*args, **kwargs)
return result
except k8s_exceptions.ApiException as e:
raise exceptions.K8sCallError(cluster=self.auth.api_server, msg=json.loads(e.body)['message'])
def _action_detail(self, client, func_name, *args, **kwargs):
func = getattr(client, func_name)
try:
result = func(*args, **kwargs)
return result
except k8s_exceptions.ApiException as e:
if e.status == 404:
return None
raise exceptions.K8sCallError(cluster=self.auth.api_server, msg=json.loads(e.body)['message'])
# Node
def list_node(self, **kwargs):
return self._action(self.core_client, 'list_node', **kwargs)
# Namespace
def create_namespace(self, body, **kwargs):
return self._action(self.core_client, 'create_namespace', body, **kwargs)
def update_namespace(self, name, body, **kwargs):
return self._action(self.core_client, 'patch_namespace', name, body, **kwargs)
def delete_namespace(self, name, **kwargs):
return self._action(self.core_client, 'delete_namespace', name, **kwargs)
def get_namespace(self, name, **kwargs):
return self._action_detail(self.core_client, 'read_namespace', name, **kwargs)
def list_namespace(self, **kwargs):
return self._action(self.core_client, 'list_namespace', **kwargs)
# Deployment
def create_deployment(self, namespace, body, **kwargs):
return self._action(self.app_client, 'create_namespaced_deployment', namespace, body, **kwargs)
def update_deployment(self, name, namespace, body, **kwargs):
return self._action(self.app_client, 'patch_namespaced_deployment', name, namespace, body, **kwargs)
def delete_deployment(self, name, namespace, **kwargs):
return self._action(self.app_client, 'delete_namespaced_deployment', name, namespace, **kwargs)
def get_deployment(self, name, namespace, **kwargs):
return self._action_detail(self.app_client, 'read_namespaced_deployment', name, namespace, **kwargs)
def list_deployment(self, namespace, **kwargs):
return self._action(self.app_client, 'list_namespaced_deployment', namespace, **kwargs)
def list_all_deployment(self, **kwargs):
return self._action(self.app_client, 'list_deployment_for_all_namespaces', **kwargs)
# ReplcaSet
def list_all_replica_set(self, **kwargs):
return self._action(self.app_client, 'list_replica_set_for_all_namespaces', **kwargs)
# Pod
def list_all_pod(self, **kwargs):
return self._action(self.core_client, 'list_pod_for_all_namespaces', **kwargs)
# Service
def create_service(self, namespace, body, **kwargs):
return self._action(self.core_client, 'create_namespaced_service', namespace, body, **kwargs)
def update_service(self, name, namespace, body, **kwargs):
return self._action(self.core_client, 'patch_namespaced_service', name, namespace, body, **kwargs)
def delete_service(self, name, namespace, **kwargs):
return self._action(self.core_client, 'delete_namespaced_service', name, namespace, **kwargs)
def get_service(self, name, namespace, **kwargs):
return self._action_detail(self.core_client, 'read_namespaced_service', name, namespace, **kwargs)
def list_service(self, namespace, **kwargs):
return self._action(self.core_client, 'list_namespaced_service', namespace, **kwargs)
def list_all_service(self, **kwargs):
return self._action(self.core_client, 'list_service_for_all_namespaces', **kwargs)
# Secret
def create_secret(self, namespace, body, **kwargs):
return self._action(self.core_client, 'create_namespaced_secret', namespace, body, **kwargs)
def update_secret(self, name, namespace, body, **kwargs):
return self._action(self.core_client, 'patch_namespaced_secret', name, namespace, body, **kwargs)
def delete_secret(self, name, namespace, **kwargs):
return self._action(self.core_client, 'delete_namespaced_secret', name, namespace, **kwargs)
def get_secret(self, name, namespace, **kwargs):
return self._action_detail(self.core_client, 'read_namespaced_secret', name, namespace, **kwargs)
def list_secret(self, namespace, **kwargs):
return self._action(self.core_client, 'list_namespaced_secret', namespace, **kwargs)
def ensure_registry_secret(self, name, namespace, server, username, password, email=None, **kwargs):
auth_data = {
'auths': {
server: {
"username": username,
"password": password,
"auth": base64.b64encode(("%s:%s" % (username, password)).encode('utf-8')).decode()
}
}
}
if email is not None:
auth_data[server]['email'] = email
body = {
'apiVersion': 'v1',
'kind': 'Secret',
'metadata': {
'name': name,
'namespace': namespace
},
'type': 'kubernetes.io/dockerconfigjson',
'data': {
'.dockerconfigjson': base64.b64encode((json.dumps(auth_data).encode('utf-8'))).decode()
}
}
has_secret = self.get_secret(name, namespace)
if has_secret is None:
self.create_secret(namespace, body, **kwargs)
else:
self.update_secret(name, namespace, body)
return True
def ensure_namespace(self, name, **kwargs):
body = {'apiVersion': 'v1', 'kind': 'Namespace', 'metadata': {'name': name}, 'labels': {}}
has_namespace = self.get_namespace(name)
if has_namespace is None:
self.create_namespace(body, **kwargs)
else:
self.update_namespace(name, body)
return True | 38.663158 | 108 | 0.659679 | 841 | 7,346 | 5.512485 | 0.142687 | 0.069888 | 0.086281 | 0.118637 | 0.55371 | 0.493529 | 0.415876 | 0.394737 | 0.353322 | 0.234254 | 0 | 0.005427 | 0.222434 | 7,346 | 190 | 109 | 38.663158 | 0.806197 | 0.01089 | 0 | 0.142857 | 0 | 0 | 0.110376 | 0.07262 | 0 | 0 | 0 | 0 | 0 | 1 | 0.242857 | false | 0.042857 | 0.071429 | 0.178571 | 0.55 | 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 |
897423d2dba4be5b162d342aa665872d0202128f | 100 | py | Python | bocadillo/sessions.py | sfermigier/bocadillo | c96842edf3657af2627cce0d8af30776916c1e30 | [
"MIT"
] | null | null | null | bocadillo/sessions.py | sfermigier/bocadillo | c96842edf3657af2627cce0d8af30776916c1e30 | [
"MIT"
] | null | null | null | bocadillo/sessions.py | sfermigier/bocadillo | c96842edf3657af2627cce0d8af30776916c1e30 | [
"MIT"
] | null | null | null | class MissingSecretKey(Exception):
"""Raised when no cookie siggnature secret key was found."""
| 33.333333 | 64 | 0.75 | 12 | 100 | 6.25 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.15 | 100 | 2 | 65 | 50 | 0.882353 | 0.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
8976fdd7b31eb78436423bf42c169d955b5a361b | 560 | py | Python | Python/mex1.py | chernyshov-dev/ideal-octo-waffle | c50f29795352766752dbbbcd46693ff54f23369b | [
"WTFPL"
] | 3 | 2021-08-29T15:22:08.000Z | 2021-08-29T17:12:01.000Z | Python/mex1.py | chernyshov-dev/ideal-octo-waffle | c50f29795352766752dbbbcd46693ff54f23369b | [
"WTFPL"
] | 11 | 2021-09-07T19:24:15.000Z | 2022-01-13T19:51:25.000Z | Python/mex1.py | chernyshov-dev/university-practice-heap | c50f29795352766752dbbbcd46693ff54f23369b | [
"WTFPL"
] | null | null | null | import math
def foo(a,b,d):
if a == 0 or b == 0 or d == 0:
return 'Заданный треугольник не существует'
s = 1/2 * a * b * math.sin(math.radians(d))
return round(s,3)
def geron(a, b, c):
if a == 0 or b == 0 or c == 0:
return 'Заданный треугольник не существует'
elif a + b < c or a + c < b or b + c < a:
return 'Заданный треугольник не существует'
else:
p = (a + b + c)/2
s = math.sqrt(p*(p - a) * (p - b) * (p - c))
return round(s,3)
| 21.538462 | 53 | 0.458929 | 91 | 560 | 2.824176 | 0.307692 | 0.038911 | 0.291829 | 0.315175 | 0.51751 | 0.373541 | 0.077821 | 0 | 0 | 0 | 0 | 0.032934 | 0.403571 | 560 | 25 | 54 | 22.4 | 0.736527 | 0 | 0 | 0.333333 | 0 | 0 | 0.19209 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.133333 | false | 0 | 0.066667 | 0 | 0.533333 | 0 | 0 | 0 | 0 | null | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
89823972b35e357fd974eb304c5d1f82b7d743c7 | 134 | py | Python | dynamicserialize/dstypes/com/raytheon/uf/common/dataplugin/message/__init__.py | srcarter3/python-awips | d981062662968cf3fb105e8e23d955950ae2497e | [
"BSD-3-Clause"
] | 33 | 2016-03-17T01:21:18.000Z | 2022-02-08T10:41:06.000Z | dynamicserialize/dstypes/com/raytheon/uf/common/dataplugin/message/__init__.py | srcarter3/python-awips | d981062662968cf3fb105e8e23d955950ae2497e | [
"BSD-3-Clause"
] | 15 | 2016-04-19T16:34:08.000Z | 2020-09-09T19:57:54.000Z | dynamicserialize/dstypes/com/raytheon/uf/common/dataplugin/message/__init__.py | Unidata/python-awips | 8459aa756816e5a45d2e5bea534d23d5b1dd1690 | [
"BSD-3-Clause"
] | 20 | 2016-03-12T01:46:58.000Z | 2022-02-08T06:53:22.000Z |
__all__ = [
'DataURINotificationMessage'
]
from .DataURINotificationMessage import DataURINotificationMessage
| 19.142857 | 66 | 0.708955 | 6 | 134 | 15.166667 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.246269 | 134 | 6 | 67 | 22.333333 | 0.90099 | 0 | 0 | 0 | 0 | 0 | 0.195489 | 0.195489 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 1 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
899277ef9ccb15e267d4d35968db55615ee39955 | 151 | py | Python | src/dbxdeploy/notebook/loader.py | DataSentics/dbx-deploy | c019d80a2b947b4f180071e97c3981daa3a2214a | [
"MIT"
] | null | null | null | src/dbxdeploy/notebook/loader.py | DataSentics/dbx-deploy | c019d80a2b947b4f180071e97c3981daa3a2214a | [
"MIT"
] | null | null | null | src/dbxdeploy/notebook/loader.py | DataSentics/dbx-deploy | c019d80a2b947b4f180071e97c3981daa3a2214a | [
"MIT"
] | null | null | null | from pathlib import Path
def loadNotebook(notebookPath: Path) -> str:
with notebookPath.open('r', encoding='utf-8') as f:
return f.read()
| 25.166667 | 55 | 0.675497 | 21 | 151 | 4.857143 | 0.857143 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.008197 | 0.192053 | 151 | 5 | 56 | 30.2 | 0.827869 | 0 | 0 | 0 | 0 | 0 | 0.039735 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0 | 0.25 | 0 | 0.75 | 0 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
89bce2483aa68780cb4056a30f34fb6ade97a146 | 349 | py | Python | ee/models/__init__.py | dorucioclea/posthog | a7e792c3fc5c1abc70d8167e1ead12d4ea24f17a | [
"MIT"
] | null | null | null | ee/models/__init__.py | dorucioclea/posthog | a7e792c3fc5c1abc70d8167e1ead12d4ea24f17a | [
"MIT"
] | null | null | null | ee/models/__init__.py | dorucioclea/posthog | a7e792c3fc5c1abc70d8167e1ead12d4ea24f17a | [
"MIT"
] | null | null | null | from .event_definition import EnterpriseEventDefinition
from .explicit_team_membership import ExplicitTeamMembership
from .hook import Hook
from .license import License
from .property_definition import EnterprisePropertyDefinition
__all__ = ["EnterpriseEventDefinition", "ExplicitTeamMembership", "Hook", "License", "EnterprisePropertyDefinition"]
| 43.625 | 116 | 0.856734 | 30 | 349 | 9.7 | 0.466667 | 0.109966 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.080229 | 349 | 7 | 117 | 49.857143 | 0.906542 | 0 | 0 | 0 | 0 | 0 | 0.246418 | 0.2149 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.833333 | 0 | 0.833333 | 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 |
983abdd7991953edaa224ffc46bf5407d0ac0786 | 125 | py | Python | testing-api/app/routes/router.py | Klavionik/BlackSheep-Examples | 018bce8ac6023e47cbd4cd49784e260626c886bd | [
"MIT"
] | 2 | 2021-06-21T09:34:50.000Z | 2021-09-06T10:16:12.000Z | testing-api/app/routes/router.py | Klavionik/BlackSheep-Examples | 018bce8ac6023e47cbd4cd49784e260626c886bd | [
"MIT"
] | 1 | 2022-02-05T15:29:10.000Z | 2022-02-05T15:29:10.000Z | testing-api/app/routes/router.py | Klavionik/BlackSheep-Examples | 018bce8ac6023e47cbd4cd49784e260626c886bd | [
"MIT"
] | 1 | 2022-02-01T21:38:43.000Z | 2022-02-01T21:38:43.000Z | from blacksheep.server.routing import Router
router = Router()
get = router.get
post = router.post
delete = router.delete
| 13.888889 | 44 | 0.76 | 17 | 125 | 5.588235 | 0.529412 | 0.252632 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.152 | 125 | 8 | 45 | 15.625 | 0.896226 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.2 | 0 | 0.2 | 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 |
983b8d8c40f70ae03528fa94bc3742ca66010260 | 1,748 | py | Python | packages/pyright-internal/src/tests/samples/operators1.py | Microsoft/pyright | adf7c3e92e4540d930e3652de3c1c335855af595 | [
"MIT"
] | 3,934 | 2019-03-22T09:26:41.000Z | 2019-05-06T21:03:08.000Z | packages/pyright-internal/src/tests/samples/operators1.py | Microsoft/pyright | adf7c3e92e4540d930e3652de3c1c335855af595 | [
"MIT"
] | 107 | 2019-03-24T04:09:37.000Z | 2019-05-06T17:00:04.000Z | packages/pyright-internal/src/tests/samples/operators1.py | Microsoft/pyright | adf7c3e92e4540d930e3652de3c1c335855af595 | [
"MIT"
] | 119 | 2019-03-23T10:48:04.000Z | 2019-05-06T08:57:56.000Z | # This sample tests the type checker's ability to check
# custom operator overrides.
from typing import Union
class A(object):
def __eq__(self, Foo):
return "equal"
class B(object):
def __ne__(self, Bar):
return self
def __lt__(self, Bar):
return "string"
def __gt__(self, Bar):
return "string"
def __ge__(self, Bar):
return "string"
def __le__(self, Bar):
return "string"
def needs_a_string(val: str):
pass
def needs_a_string_or_bool(val: Union[bool, str]):
pass
def test():
a = A()
needs_a_string(a == a)
# This should generate an error because there
# is no __ne__ operator defined, so a bool
# value will result.
needs_a_string(a != a)
if True:
a = B()
# At this point, a should be of type Union[Foo, Bar],
# so the == operator should return either a str or
# a bool.
needs_a_string_or_bool(a == a)
# This should generate an error.
needs_a_string(a == a)
# This should generate an error.
needs_a_string_or_bool(a != a)
b = B()
needs_a_string(b < b)
needs_a_string(b > b)
needs_a_string(b <= b)
needs_a_string(b >= b)
class C:
def __getattr__(self, name: str, /):
if name == "__add__":
return lambda _: 0
a = C()
a.__add__
# This should generate an error because __getattr__ is not used
# when looking up operator overload methods.
b = a + 0
class D:
def __init__(self):
self.__add__ = lambda x: x
d = D()
# This should generate an error because __add__ is not a class variable.
_ = d + d
class E:
__slots__ = ("__add__",)
def __init__(self):
self.__add__ = lambda x: x
e = E()
_ = e + e
| 17.137255 | 72 | 0.608124 | 264 | 1,748 | 3.636364 | 0.30303 | 0.06875 | 0.1375 | 0.104167 | 0.4625 | 0.3375 | 0.263542 | 0.236458 | 0.182292 | 0.182292 | 0 | 0.001613 | 0.290618 | 1,748 | 101 | 73 | 17.306931 | 0.772581 | 0.303776 | 0 | 0.235294 | 0 | 0 | 0.035744 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.235294 | false | 0.039216 | 0.019608 | 0.117647 | 0.509804 | 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 |
98441054a2a227acc600614ec92ab528cd92c1ed | 1,244 | py | Python | CGAN/utils.py | aryanpanpalia/GANs | 5fb25ec3757668c9ee2c5fa685354632fd5da007 | [
"MIT"
] | 1 | 2021-06-24T03:08:08.000Z | 2021-06-24T03:08:08.000Z | CGAN/utils.py | aryanpanpalia/GANs | 5fb25ec3757668c9ee2c5fa685354632fd5da007 | [
"MIT"
] | null | null | null | CGAN/utils.py | aryanpanpalia/GANs | 5fb25ec3757668c9ee2c5fa685354632fd5da007 | [
"MIT"
] | null | null | null | import matplotlib.pyplot as plt
import torch
from torchvision.utils import make_grid
import torch.nn.functional as F
from torch import nn
torch.manual_seed(0)
def get_noise(n_samples, input_dim, device='cpu'):
return torch.randn(n_samples, input_dim, device=device)
def show_tensor_images(image_tensor, num_images=25, nrow=5):
image_tensor = (image_tensor + 1) / 2
image_unflat = image_tensor.detach().cpu()
image_grid = make_grid(image_unflat[:num_images], nrow=nrow)
plt.imshow(image_grid.permute(1, 2, 0).squeeze())
plt.show()
def get_one_hot_labels(labels, n_classes):
return F.one_hot(labels, n_classes)
def combine_vectors(x, y):
return torch.cat((x, y), 1).float()
def get_input_dimensions(z_dim, image_shape, n_classes):
generator_input_dim = z_dim + n_classes
discriminator_im_chan = n_classes + image_shape[0]
return generator_input_dim, discriminator_im_chan
def weights_init(m):
if isinstance(m, nn.Conv2d) or isinstance(m, nn.ConvTranspose2d):
torch.nn.init.normal_(m.weight, 0.0, 0.02)
if isinstance(m, nn.BatchNorm2d):
torch.nn.init.normal_(m.weight, 0.0, 0.02)
torch.nn.init.constant_(m.bias, 0)
| 28.930233 | 70 | 0.702572 | 194 | 1,244 | 4.257732 | 0.381443 | 0.048426 | 0.047216 | 0.038741 | 0.123487 | 0.070218 | 0.070218 | 0.070218 | 0.070218 | 0.070218 | 0 | 0.024655 | 0.184887 | 1,244 | 42 | 71 | 29.619048 | 0.789941 | 0 | 0 | 0.071429 | 0 | 0 | 0.002496 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.214286 | false | 0 | 0.178571 | 0.107143 | 0.535714 | 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 |
9877fde6709f051fb00d20d2e7ad73a2ebe1a8f9 | 3,117 | py | Python | pyOCD/flash/flash_stm32l486.py | mesheven/mesh-pyocd-old | 99ecfeeac95820dacab52a1280b0fba6d4f51fc9 | [
"Apache-2.0"
] | null | null | null | pyOCD/flash/flash_stm32l486.py | mesheven/mesh-pyocd-old | 99ecfeeac95820dacab52a1280b0fba6d4f51fc9 | [
"Apache-2.0"
] | null | null | null | pyOCD/flash/flash_stm32l486.py | mesheven/mesh-pyocd-old | 99ecfeeac95820dacab52a1280b0fba6d4f51fc9 | [
"Apache-2.0"
] | null | null | null | """
mbed CMSIS-DAP debugger
Copyright (c) 2006-2013 ARM Limited
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.
"""
from flash import Flash
flash_algo = { 'load_address' : 0x20000000,
'instructions' : [
0xE00ABE00, 0x062D780D, 0x24084068, 0xD3000040, 0x1E644058, 0x1C49D1FA, 0x2A001E52, 0x4770D1F2,
0x6000f1a0, 0x47700ac0, 0x49514852, 0x49526081, 0x20006081, 0x494f4770, 0x30f9f24c, 0x47706108,
0xf24c494c, 0x610830f9, 0x47702000, 0x47702000, 0xb5004a48, 0x28006950, 0xf7ffda01, 0x6910ffe5,
0xd4fc03c0, 0x30f9f24c, 0x69506110, 0x0104f248, 0x61504308, 0xf4406950, 0x61503080, 0x03c06910,
0x6950d4fc, 0x61504388, 0xbd002000, 0x4a39b510, 0x23004604, 0x28006950, 0xf7ffda01, 0x6911ffc5,
0xd4fc03c8, 0x30f9f24c, 0xf1a46110, 0x0ae06400, 0xd90228ff, 0x6300f44f, 0x6951b2c0, 0x74f8f640,
0x240243a1, 0x00c0eb04, 0x43084318, 0x69506150, 0x3080f440, 0x69106150, 0xd4fc03c0, 0xf0206950,
0x61500002, 0xbd102000, 0x460eb5f0, 0x07492400, 0x2701d001, 0x2700e000, 0xf0204d1e, 0x69680307,
0xda012800, 0xff90f7ff, 0x03c06928, 0xf24cd4fc, 0x612830f9, 0x01d6eb07, 0xf040e021, 0x61680001,
0xc301ca01, 0xc301ca01, 0x03c06928, 0x6928d4fc, 0xd00107c0, 0x61282001, 0x0c08f852, 0x6c08f853,
0xd10542b0, 0x0c04f852, 0x6c04f853, 0xd00542b0, 0xf0206968, 0x61680001, 0xbdf02001, 0x69681c64,
0xd8da42a1, 0x0001f020, 0x20006168, 0x0000bdf0, 0x45670123, 0x40022000, 0xcdef89ab, 0x00000000,
],
'pc_init' : 0x20000041,
'pc_eraseAll' : 0x20000051,
'pc_erase_sector' : 0x2000008D,
'pc_program_page' : 0x200000E9,
'static_base' : 0x20000200,
'begin_data' : 0x20001000, # Analyzer uses a max of 2 KB data (512 pages * 4 bytes / page)
'page_buffers' : [0x20001000, 0x20001800], # Enable double buffering
'begin_stack' : 0x20002800,
'min_program_length' : 8,
'analyzer_supported' : True,
'analyzer_address' : 0x20003000 # Analyzer 0x20003000..0x20003600
};
class Flash_stm32l486(Flash):
def __init__(self, target):
super(Flash_stm32l486, self).__init__(target, flash_algo) | 57.722222 | 130 | 0.616939 | 274 | 3,117 | 6.919708 | 0.762774 | 0.031646 | 0.013713 | 0.016878 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.394195 | 0.314726 | 3,117 | 54 | 131 | 57.722222 | 0.493446 | 0.225537 | 0 | 0 | 0 | 0 | 0.070175 | 0 | 0 | 0 | 0.446951 | 0 | 0 | 1 | 0.032258 | false | 0 | 0.032258 | 0 | 0.096774 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7f3f6cbfffcc0317e47e0a58461d84aeb462d4b2 | 119 | py | Python | homeassistant/components/filter/__init__.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 30,023 | 2016-04-13T10:17:53.000Z | 2020-03-02T12:56:31.000Z | homeassistant/components/filter/__init__.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 31,101 | 2020-03-02T13:00:16.000Z | 2022-03-31T23:57:36.000Z | homeassistant/components/filter/__init__.py | MrDelik/core | 93a66cc357b226389967668441000498a10453bb | [
"Apache-2.0"
] | 11,956 | 2016-04-13T18:42:31.000Z | 2020-03-02T09:32:12.000Z | """The filter component."""
from homeassistant.const import Platform
DOMAIN = "filter"
PLATFORMS = [Platform.SENSOR]
| 17 | 40 | 0.747899 | 13 | 119 | 6.846154 | 0.846154 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.12605 | 119 | 6 | 41 | 19.833333 | 0.855769 | 0.176471 | 0 | 0 | 0 | 0 | 0.065217 | 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 |
7f4882c2d2287cde42e6aa73d9c6ab05ec059d72 | 45,170 | py | Python | shenaniganfs/generated/rfc1813.py | JordanMilne/ShenaniganFS | fbe346881c89ed06ec5a8c3832d530d3704e0ed5 | [
"MIT"
] | 1 | 2021-03-03T14:17:39.000Z | 2021-03-03T14:17:39.000Z | shenaniganfs/generated/rfc1813.py | JordanMilne/ShenaniganFS | fbe346881c89ed06ec5a8c3832d530d3704e0ed5 | [
"MIT"
] | null | null | null | shenaniganfs/generated/rfc1813.py | JordanMilne/ShenaniganFS | fbe346881c89ed06ec5a8c3832d530d3704e0ed5 | [
"MIT"
] | null | null | null | # Auto-generated from IDL file
import abc
import dataclasses
import typing
from dataclasses import dataclass
from shenaniganfs import rpchelp
TRUE = True
FALSE = False
NFS3_OK = 0
NFS3ERR_PERM = 1
NFS3ERR_NOENT = 2
NFS3ERR_IO = 5
NFS3ERR_NXIO = 6
NFS3ERR_ACCES = 13
NFS3ERR_EXIST = 17
NFS3ERR_XDEV = 18
NFS3ERR_NODEV = 19
NFS3ERR_NOTDIR = 20
NFS3ERR_ISDIR = 21
NFS3ERR_INVAL = 22
NFS3ERR_FBIG = 27
NFS3ERR_NOSPC = 28
NFS3ERR_ROFS = 30
NFS3ERR_MLINK = 31
NFS3ERR_NAMETOOLONG = 63
NFS3ERR_NOTEMPTY = 66
NFS3ERR_DQUOT = 69
NFS3ERR_STALE = 70
NFS3ERR_REMOTE = 71
NFS3ERR_BADHANDLE = 10001
NFS3ERR_NOT_SYNC = 10002
NFS3ERR_BAD_COOKIE = 10003
NFS3ERR_NOTSUPP = 10004
NFS3ERR_TOOSMALL = 10005
NFS3ERR_SERVERFAULT = 10006
NFS3ERR_BADTYPE = 10007
NFS3ERR_JUKEBOX = 10008
NF3REG = 1
NF3DIR = 2
NF3BLK = 3
NF3CHR = 4
NF3LNK = 5
NF3SOCK = 6
NF3FIFO = 7
DONT_CHANGE = 0
SET_TO_SERVER_TIME = 1
SET_TO_CLIENT_TIME = 2
UNSTABLE = 0
DATA_SYNC = 1
FILE_SYNC = 2
UNCHECKED = 0
GUARDED = 1
EXCLUSIVE = 2
MNT3_OK = 0
MNT3ERR_PERM = 1
MNT3ERR_NOENT = 2
MNT3ERR_IO = 5
MNT3ERR_ACCES = 13
MNT3ERR_NOTDIR = 20
MNT3ERR_INVAL = 22
MNT3ERR_NAMETOOLONG = 63
MNT3ERR_NOTSUPP = 10004
MNT3ERR_SERVERFAULT = 10006
NFS3_FHSIZE = 64
NFS3_COOKIEVERFSIZE = 8
NFS3_CREATEVERFSIZE = 8
NFS3_WRITEVERFSIZE = 8
Uint64 = rpchelp.r_uhyper
Int64 = rpchelp.r_hyper
Uint32 = rpchelp.r_uint
Int32 = rpchelp.r_int
Filename3 = rpchelp.Opaque(rpchelp.LengthType.VAR, None)
NFSPath3 = rpchelp.Opaque(rpchelp.LengthType.VAR, None)
Fileid3 = Uint64
Cookie3 = Uint64
Cookieverf3 = rpchelp.Opaque(rpchelp.LengthType.FIXED, NFS3_COOKIEVERFSIZE)
Createverf3 = rpchelp.Opaque(rpchelp.LengthType.FIXED, NFS3_CREATEVERFSIZE)
Writeverf3 = rpchelp.Opaque(rpchelp.LengthType.FIXED, NFS3_WRITEVERFSIZE)
Uid3 = Uint32
Gid3 = Uint32
Size3 = Uint64
Offset3 = Uint64
Mode3 = Uint32
Count3 = Uint32
class NFSStat3(rpchelp.Enum): # nfsstat3
NFS3_OK = 0
NFS3ERR_PERM = 1
NFS3ERR_NOENT = 2
NFS3ERR_IO = 5
NFS3ERR_NXIO = 6
NFS3ERR_ACCES = 13
NFS3ERR_EXIST = 17
NFS3ERR_XDEV = 18
NFS3ERR_NODEV = 19
NFS3ERR_NOTDIR = 20
NFS3ERR_ISDIR = 21
NFS3ERR_INVAL = 22
NFS3ERR_FBIG = 27
NFS3ERR_NOSPC = 28
NFS3ERR_ROFS = 30
NFS3ERR_MLINK = 31
NFS3ERR_NAMETOOLONG = 63
NFS3ERR_NOTEMPTY = 66
NFS3ERR_DQUOT = 69
NFS3ERR_STALE = 70
NFS3ERR_REMOTE = 71
NFS3ERR_BADHANDLE = 10001
NFS3ERR_NOT_SYNC = 10002
NFS3ERR_BAD_COOKIE = 10003
NFS3ERR_NOTSUPP = 10004
NFS3ERR_TOOSMALL = 10005
NFS3ERR_SERVERFAULT = 10006
NFS3ERR_BADTYPE = 10007
NFS3ERR_JUKEBOX = 10008
class Ftype3(rpchelp.Enum): # ftype3
NF3REG = 1
NF3DIR = 2
NF3BLK = 3
NF3CHR = 4
NF3LNK = 5
NF3SOCK = 6
NF3FIFO = 7
@dataclass
class SpecData3(rpchelp.Struct): # specdata3
specdata1: int = rpchelp.rpc_field(Uint32)
specdata2: int = rpchelp.rpc_field(Uint32)
NFSFh3 = rpchelp.Opaque(rpchelp.LengthType.VAR, NFS3_FHSIZE)
@dataclass
class NFSTime3(rpchelp.Struct): # nfstime3
seconds: int = rpchelp.rpc_field(Uint32)
nseconds: int = rpchelp.rpc_field(Uint32)
@dataclass
class FAttr3(rpchelp.Struct): # fattr3
type: typing.Union[Ftype3, int] = rpchelp.rpc_field(Ftype3)
mode: int = rpchelp.rpc_field(Mode3)
nlink: int = rpchelp.rpc_field(Uint32)
uid: int = rpchelp.rpc_field(Uid3)
gid: int = rpchelp.rpc_field(Gid3)
size: int = rpchelp.rpc_field(Size3)
used: int = rpchelp.rpc_field(Size3)
rdev: SpecData3 = rpchelp.rpc_field(SpecData3)
fsid: int = rpchelp.rpc_field(Uint64)
fileid: int = rpchelp.rpc_field(Fileid3)
atime: NFSTime3 = rpchelp.rpc_field(NFSTime3)
mtime: NFSTime3 = rpchelp.rpc_field(NFSTime3)
ctime: NFSTime3 = rpchelp.rpc_field(NFSTime3)
@dataclass
class WccAttr(rpchelp.Struct): # wcc_attr
size: int = rpchelp.rpc_field(Size3)
mtime: NFSTime3 = rpchelp.rpc_field(NFSTime3)
ctime: NFSTime3 = rpchelp.rpc_field(NFSTime3)
PostOpAttr = rpchelp.OptData(FAttr3)
PreOpAttr = rpchelp.OptData(WccAttr)
@dataclass
class WccData(rpchelp.Struct): # wcc_data
before: typing.Optional[WccAttr] = rpchelp.rpc_field(PreOpAttr)
after: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
PostOpFh3 = rpchelp.OptData(NFSFh3)
class TimeHow(rpchelp.Enum): # time_how
DONT_CHANGE = 0
SET_TO_SERVER_TIME = 1
SET_TO_CLIENT_TIME = 2
SetMode3 = rpchelp.OptData(Mode3)
SetUid3 = rpchelp.OptData(Uid3)
SetGid3 = rpchelp.OptData(Gid3)
SetSize3 = rpchelp.OptData(Size3)
@dataclass
class SetTime(rpchelp.Union): # set_time
SWITCH_OPTIONS = {None: None, SET_TO_CLIENT_TIME: 'time_val'}
set_it: typing.Union[TimeHow, int] = rpchelp.rpc_field(TimeHow)
time_val: typing.Optional[NFSTime3] = rpchelp.rpc_field(NFSTime3, default=None)
@dataclass
class SAttr3(rpchelp.Struct): # sattr3
mode: typing.Optional[int] = rpchelp.rpc_field(SetMode3)
uid: typing.Optional[int] = rpchelp.rpc_field(SetUid3)
gid: typing.Optional[int] = rpchelp.rpc_field(SetGid3)
size: typing.Optional[int] = rpchelp.rpc_field(SetSize3)
atime: SetTime = rpchelp.rpc_field(SetTime)
mtime: SetTime = rpchelp.rpc_field(SetTime)
@dataclass
class DiropArgs3(rpchelp.Struct): # diropargs3
dir_handle: bytes = rpchelp.rpc_field(NFSFh3)
name: bytes = rpchelp.rpc_field(Filename3)
@dataclass
class GETATTR3Args(rpchelp.Struct): # GETATTR3args
obj_handle: bytes = rpchelp.rpc_field(NFSFh3)
@dataclass
class GETATTR3ResOK(rpchelp.Struct): # GETATTR3resok
obj_attributes: FAttr3 = rpchelp.rpc_field(FAttr3)
@dataclass
class GETATTR3Res(rpchelp.Union): # GETATTR3res
SWITCH_OPTIONS = {None: None, NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resok: typing.Optional[GETATTR3ResOK] = rpchelp.rpc_field(GETATTR3ResOK, default=None)
@dataclass
class Sattrguard3(rpchelp.Union): # sattrguard3
SWITCH_OPTIONS = {FALSE: None, TRUE: 'obj_ctime'}
check: bool = rpchelp.rpc_field(rpchelp.r_bool)
obj_ctime: typing.Optional[NFSTime3] = rpchelp.rpc_field(NFSTime3, default=None)
@dataclass
class SETATTR3Args(rpchelp.Struct): # SETATTR3args
obj_handle: bytes = rpchelp.rpc_field(NFSFh3)
new_attributes: SAttr3 = rpchelp.rpc_field(SAttr3)
guard: Sattrguard3 = rpchelp.rpc_field(Sattrguard3)
@dataclass
class SETATTR3ResOK(rpchelp.Struct): # SETATTR3resok
obj_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class SETATTR3ResFail(rpchelp.Struct): # SETATTR3resfail
obj_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class SETATTR3Res(rpchelp.Union): # SETATTR3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[SETATTR3ResFail] = rpchelp.rpc_field(SETATTR3ResFail, default=None)
resok: typing.Optional[SETATTR3ResOK] = rpchelp.rpc_field(SETATTR3ResOK, default=None)
@dataclass
class LOOKUP3Args(rpchelp.Struct): # LOOKUP3args
what: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
@dataclass
class LOOKUP3ResOK(rpchelp.Struct): # LOOKUP3resok
obj_handle: bytes = rpchelp.rpc_field(NFSFh3)
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
dir_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class LOOKUP3ResFail(rpchelp.Struct): # LOOKUP3resfail
dir_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class LOOKUP3Res(rpchelp.Union): # LOOKUP3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[LOOKUP3ResFail] = rpchelp.rpc_field(LOOKUP3ResFail, default=None)
resok: typing.Optional[LOOKUP3ResOK] = rpchelp.rpc_field(LOOKUP3ResOK, default=None)
ACCESS3_READ = 0x0001
ACCESS3_LOOKUP = 0x0002
ACCESS3_MODIFY = 0x0004
ACCESS3_EXTEND = 0x0008
ACCESS3_DELETE = 0x0010
ACCESS3_EXECUTE = 0x0020
@dataclass
class ACCESS3Args(rpchelp.Struct): # ACCESS3args
obj_handle: bytes = rpchelp.rpc_field(NFSFh3)
access: int = rpchelp.rpc_field(Uint32)
@dataclass
class ACCESS3ResOK(rpchelp.Struct): # ACCESS3resok
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
access: int = rpchelp.rpc_field(Uint32)
@dataclass
class ACCESS3ResFail(rpchelp.Struct): # ACCESS3resfail
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class ACCESS3Res(rpchelp.Union): # ACCESS3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[ACCESS3ResFail] = rpchelp.rpc_field(ACCESS3ResFail, default=None)
resok: typing.Optional[ACCESS3ResOK] = rpchelp.rpc_field(ACCESS3ResOK, default=None)
@dataclass
class READLINK3Args(rpchelp.Struct): # READLINK3args
symlink_handle: bytes = rpchelp.rpc_field(NFSFh3)
@dataclass
class READLINK3ResOK(rpchelp.Struct): # READLINK3resok
symlink_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
data: bytes = rpchelp.rpc_field(NFSPath3)
@dataclass
class READLINK3ResFail(rpchelp.Struct): # READLINK3resfail
symlink_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class READLINK3Res(rpchelp.Union): # READLINK3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[READLINK3ResFail] = rpchelp.rpc_field(READLINK3ResFail, default=None)
resok: typing.Optional[READLINK3ResOK] = rpchelp.rpc_field(READLINK3ResOK, default=None)
@dataclass
class READ3Args(rpchelp.Struct): # READ3args
file_handle: bytes = rpchelp.rpc_field(NFSFh3)
offset: int = rpchelp.rpc_field(Offset3)
count: int = rpchelp.rpc_field(Count3)
@dataclass
class READ3ResOK(rpchelp.Struct): # READ3resok
file_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
count: int = rpchelp.rpc_field(Count3)
eof: bool = rpchelp.rpc_field(rpchelp.r_bool)
data: bytes = rpchelp.rpc_field(rpchelp.Opaque(rpchelp.LengthType.VAR, None))
@dataclass
class READ3ResFail(rpchelp.Struct): # READ3resfail
file_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class READ3Res(rpchelp.Union): # READ3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[READ3ResFail] = rpchelp.rpc_field(READ3ResFail, default=None)
resok: typing.Optional[READ3ResOK] = rpchelp.rpc_field(READ3ResOK, default=None)
class StableHow(rpchelp.Enum): # stable_how
UNSTABLE = 0
DATA_SYNC = 1
FILE_SYNC = 2
@dataclass
class WRITE3Args(rpchelp.Struct): # WRITE3args
file_handle: bytes = rpchelp.rpc_field(NFSFh3)
offset: int = rpchelp.rpc_field(Offset3)
count: int = rpchelp.rpc_field(Count3)
stable: typing.Union[StableHow, int] = rpchelp.rpc_field(StableHow)
data: bytes = rpchelp.rpc_field(rpchelp.Opaque(rpchelp.LengthType.VAR, None))
@dataclass
class WRITE3ResOK(rpchelp.Struct): # WRITE3resok
file_wcc: WccData = rpchelp.rpc_field(WccData)
count: int = rpchelp.rpc_field(Count3)
committed: typing.Union[StableHow, int] = rpchelp.rpc_field(StableHow)
verf: bytes = rpchelp.rpc_field(Writeverf3)
@dataclass
class WRITE3ResFail(rpchelp.Struct): # WRITE3resfail
file_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class WRITE3Res(rpchelp.Union): # WRITE3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[WRITE3ResFail] = rpchelp.rpc_field(WRITE3ResFail, default=None)
resok: typing.Optional[WRITE3ResOK] = rpchelp.rpc_field(WRITE3ResOK, default=None)
class Createmode3(rpchelp.Enum): # createmode3
UNCHECKED = 0
GUARDED = 1
EXCLUSIVE = 2
@dataclass
class Createhow3(rpchelp.Union): # createhow3
SWITCH_OPTIONS = {UNCHECKED: 'obj_attributes', GUARDED: 'obj_attributes', EXCLUSIVE: 'verf'}
mode: typing.Union[Createmode3, int] = rpchelp.rpc_field(Createmode3)
obj_attributes: typing.Optional[SAttr3] = rpchelp.rpc_field(SAttr3, default=None)
verf: typing.Optional[bytes] = rpchelp.rpc_field(Createverf3, default=None)
@dataclass
class CREATE3Args(rpchelp.Struct): # CREATE3args
where: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
how: Createhow3 = rpchelp.rpc_field(Createhow3)
@dataclass
class CREATE3ResOK(rpchelp.Struct): # CREATE3resok
obj_handle: typing.Optional[bytes] = rpchelp.rpc_field(PostOpFh3)
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class CREATE3ResFail(rpchelp.Struct): # CREATE3resfail
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class CREATE3Res(rpchelp.Union): # CREATE3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[CREATE3ResFail] = rpchelp.rpc_field(CREATE3ResFail, default=None)
resok: typing.Optional[CREATE3ResOK] = rpchelp.rpc_field(CREATE3ResOK, default=None)
@dataclass
class MKDIR3Args(rpchelp.Struct): # MKDIR3args
where: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
attributes: SAttr3 = rpchelp.rpc_field(SAttr3)
@dataclass
class MKDIR3ResOK(rpchelp.Struct): # MKDIR3resok
obj_handle: typing.Optional[bytes] = rpchelp.rpc_field(PostOpFh3)
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class MKDIR3ResFail(rpchelp.Struct): # MKDIR3resfail
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class MKDIR3Res(rpchelp.Union): # MKDIR3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[MKDIR3ResFail] = rpchelp.rpc_field(MKDIR3ResFail, default=None)
resok: typing.Optional[MKDIR3ResOK] = rpchelp.rpc_field(MKDIR3ResOK, default=None)
@dataclass
class SymlinkData3(rpchelp.Struct): # symlinkdata3
symlink_attributes: SAttr3 = rpchelp.rpc_field(SAttr3)
symlink_data: bytes = rpchelp.rpc_field(NFSPath3)
@dataclass
class SYMLINK3Args(rpchelp.Struct): # SYMLINK3args
where: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
symlink: SymlinkData3 = rpchelp.rpc_field(SymlinkData3)
@dataclass
class SYMLINK3ResOK(rpchelp.Struct): # SYMLINK3resok
obj_handle: typing.Optional[bytes] = rpchelp.rpc_field(PostOpFh3)
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class SYMLINK3ResFail(rpchelp.Struct): # SYMLINK3resfail
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class SYMLINK3Res(rpchelp.Union): # SYMLINK3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[SYMLINK3ResFail] = rpchelp.rpc_field(SYMLINK3ResFail, default=None)
resok: typing.Optional[SYMLINK3ResOK] = rpchelp.rpc_field(SYMLINK3ResOK, default=None)
@dataclass
class DeviceData3(rpchelp.Struct): # devicedata3
dev_attributes: SAttr3 = rpchelp.rpc_field(SAttr3)
spec: SpecData3 = rpchelp.rpc_field(SpecData3)
@dataclass
class MknodData3(rpchelp.Union): # mknoddata3
SWITCH_OPTIONS = {None: None, NF3BLK: 'blk_device', NF3CHR: 'chr_device', NF3FIFO: 'fifo_pipe_attributes', NF3SOCK: 'sock_pipe_attributes'}
type: typing.Union[Ftype3, int] = rpchelp.rpc_field(Ftype3)
blk_device: typing.Optional[DeviceData3] = rpchelp.rpc_field(DeviceData3, default=None)
chr_device: typing.Optional[DeviceData3] = rpchelp.rpc_field(DeviceData3, default=None)
fifo_pipe_attributes: typing.Optional[SAttr3] = rpchelp.rpc_field(SAttr3, default=None)
sock_pipe_attributes: typing.Optional[SAttr3] = rpchelp.rpc_field(SAttr3, default=None)
@dataclass
class MKNOD3Args(rpchelp.Struct): # MKNOD3args
where: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
what: MknodData3 = rpchelp.rpc_field(MknodData3)
@dataclass
class MKNOD3ResOK(rpchelp.Struct): # MKNOD3resok
obj_handle: typing.Optional[bytes] = rpchelp.rpc_field(PostOpFh3)
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class MKNOD3ResFail(rpchelp.Struct): # MKNOD3resfail
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class MKNOD3Res(rpchelp.Union): # MKNOD3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[MKNOD3ResFail] = rpchelp.rpc_field(MKNOD3ResFail, default=None)
resok: typing.Optional[MKNOD3ResOK] = rpchelp.rpc_field(MKNOD3ResOK, default=None)
@dataclass
class REMOVE3Args(rpchelp.Struct): # REMOVE3args
object: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
@dataclass
class REMOVE3ResOK(rpchelp.Struct): # REMOVE3resok
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class REMOVE3ResFail(rpchelp.Struct): # REMOVE3resfail
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class REMOVE3Res(rpchelp.Union): # REMOVE3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[REMOVE3ResFail] = rpchelp.rpc_field(REMOVE3ResFail, default=None)
resok: typing.Optional[REMOVE3ResOK] = rpchelp.rpc_field(REMOVE3ResOK, default=None)
@dataclass
class RMDIR3Args(rpchelp.Struct): # RMDIR3args
object: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
@dataclass
class RMDIR3ResOK(rpchelp.Struct): # RMDIR3resok
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class RMDIR3ResFail(rpchelp.Struct): # RMDIR3resfail
dir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class RMDIR3Res(rpchelp.Union): # RMDIR3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[RMDIR3ResFail] = rpchelp.rpc_field(RMDIR3ResFail, default=None)
resok: typing.Optional[RMDIR3ResOK] = rpchelp.rpc_field(RMDIR3ResOK, default=None)
@dataclass
class RENAME3Args(rpchelp.Struct): # RENAME3args
from_: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
to: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
@dataclass
class RENAME3ResOK(rpchelp.Struct): # RENAME3resok
fromdir_wcc: WccData = rpchelp.rpc_field(WccData)
todir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class RENAME3ResFail(rpchelp.Struct): # RENAME3resfail
fromdir_wcc: WccData = rpchelp.rpc_field(WccData)
todir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class RENAME3Res(rpchelp.Union): # RENAME3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[RENAME3ResFail] = rpchelp.rpc_field(RENAME3ResFail, default=None)
resok: typing.Optional[RENAME3ResOK] = rpchelp.rpc_field(RENAME3ResOK, default=None)
@dataclass
class LINK3Args(rpchelp.Struct): # LINK3args
file_handle: bytes = rpchelp.rpc_field(NFSFh3)
link: DiropArgs3 = rpchelp.rpc_field(DiropArgs3)
@dataclass
class LINK3ResOK(rpchelp.Struct): # LINK3resok
file_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
linkdir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class LINK3ResFail(rpchelp.Struct): # LINK3resfail
file_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
linkdir_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class LINK3Res(rpchelp.Union): # LINK3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[LINK3ResFail] = rpchelp.rpc_field(LINK3ResFail, default=None)
resok: typing.Optional[LINK3ResOK] = rpchelp.rpc_field(LINK3ResOK, default=None)
@dataclass
class READDIR3Args(rpchelp.Struct): # READDIR3args
dir_handle: bytes = rpchelp.rpc_field(NFSFh3)
cookie: int = rpchelp.rpc_field(Cookie3)
cookieverf: bytes = rpchelp.rpc_field(Cookieverf3)
count: int = rpchelp.rpc_field(Count3)
@dataclass
class Entry3(rpchelp.LinkedList): # entry3
fileid: int = rpchelp.rpc_field(Fileid3)
name: bytes = rpchelp.rpc_field(Filename3)
cookie: int = rpchelp.rpc_field(Cookie3)
@dataclass
class DirList3(rpchelp.Struct): # dirlist3
entries: typing.List[Entry3] = rpchelp.rpc_field(rpchelp.OptData(Entry3))
eof: bool = rpchelp.rpc_field(rpchelp.r_bool)
@dataclass
class READDIR3ResOK(rpchelp.Struct): # READDIR3resok
dir_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
cookieverf: bytes = rpchelp.rpc_field(Cookieverf3)
reply: DirList3 = rpchelp.rpc_field(DirList3)
@dataclass
class READDIR3ResFail(rpchelp.Struct): # READDIR3resfail
dir_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class READDIR3Res(rpchelp.Union): # READDIR3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[READDIR3ResFail] = rpchelp.rpc_field(READDIR3ResFail, default=None)
resok: typing.Optional[READDIR3ResOK] = rpchelp.rpc_field(READDIR3ResOK, default=None)
@dataclass
class READDIRPLUS3Args(rpchelp.Struct): # READDIRPLUS3args
dir_handle: bytes = rpchelp.rpc_field(NFSFh3)
cookie: int = rpchelp.rpc_field(Cookie3)
cookieverf: bytes = rpchelp.rpc_field(Cookieverf3)
dircount: int = rpchelp.rpc_field(Count3)
maxcount: int = rpchelp.rpc_field(Count3)
@dataclass
class Entryplus3(rpchelp.LinkedList): # entryplus3
fileid: int = rpchelp.rpc_field(Fileid3)
name: bytes = rpchelp.rpc_field(Filename3)
cookie: int = rpchelp.rpc_field(Cookie3)
name_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
name_handle: typing.Optional[bytes] = rpchelp.rpc_field(PostOpFh3)
@dataclass
class Dirlistplus3(rpchelp.Struct): # dirlistplus3
entries: typing.List[Entryplus3] = rpchelp.rpc_field(rpchelp.OptData(Entryplus3))
eof: bool = rpchelp.rpc_field(rpchelp.r_bool)
@dataclass
class READDIRPLUS3ResOK(rpchelp.Struct): # READDIRPLUS3resok
dir_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
cookieverf: bytes = rpchelp.rpc_field(Cookieverf3)
reply: Dirlistplus3 = rpchelp.rpc_field(Dirlistplus3)
@dataclass
class READDIRPLUS3ResFail(rpchelp.Struct): # READDIRPLUS3resfail
dir_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class READDIRPLUS3Res(rpchelp.Union): # READDIRPLUS3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[READDIRPLUS3ResFail] = rpchelp.rpc_field(READDIRPLUS3ResFail, default=None)
resok: typing.Optional[READDIRPLUS3ResOK] = rpchelp.rpc_field(READDIRPLUS3ResOK, default=None)
@dataclass
class FSSTAT3Args(rpchelp.Struct): # FSSTAT3args
fsroot_handle: bytes = rpchelp.rpc_field(NFSFh3)
@dataclass
class FSSTAT3ResOK(rpchelp.Struct): # FSSTAT3resok
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
tbytes: int = rpchelp.rpc_field(Size3)
fbytes: int = rpchelp.rpc_field(Size3)
abytes: int = rpchelp.rpc_field(Size3)
tfiles: int = rpchelp.rpc_field(Size3)
ffiles: int = rpchelp.rpc_field(Size3)
afiles: int = rpchelp.rpc_field(Size3)
invarsec: int = rpchelp.rpc_field(Uint32)
@dataclass
class FSSTAT3ResFail(rpchelp.Struct): # FSSTAT3resfail
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class FSSTAT3Res(rpchelp.Union): # FSSTAT3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[FSSTAT3ResFail] = rpchelp.rpc_field(FSSTAT3ResFail, default=None)
resok: typing.Optional[FSSTAT3ResOK] = rpchelp.rpc_field(FSSTAT3ResOK, default=None)
FSF3_LINK = 0x0001
FSF3_SYMLINK = 0x0002
FSF3_HOMOGENEOUS = 0x0008
FSF3_CANSETTIME = 0x0010
@dataclass
class FSINFO3Args(rpchelp.Struct): # FSINFO3args
fsroot_handle: bytes = rpchelp.rpc_field(NFSFh3)
@dataclass
class FSINFO3ResOK(rpchelp.Struct): # FSINFO3resok
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
rtmax: int = rpchelp.rpc_field(Uint32)
rtpref: int = rpchelp.rpc_field(Uint32)
rtmult: int = rpchelp.rpc_field(Uint32)
wtmax: int = rpchelp.rpc_field(Uint32)
wtpref: int = rpchelp.rpc_field(Uint32)
wtmult: int = rpchelp.rpc_field(Uint32)
dtpref: int = rpchelp.rpc_field(Uint32)
maxfilesize: int = rpchelp.rpc_field(Size3)
time_delta: NFSTime3 = rpchelp.rpc_field(NFSTime3)
properties: int = rpchelp.rpc_field(Uint32)
@dataclass
class FSINFO3ResFail(rpchelp.Struct): # FSINFO3resfail
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class FSINFO3Res(rpchelp.Union): # FSINFO3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[FSINFO3ResFail] = rpchelp.rpc_field(FSINFO3ResFail, default=None)
resok: typing.Optional[FSINFO3ResOK] = rpchelp.rpc_field(FSINFO3ResOK, default=None)
@dataclass
class PATHCONF3Args(rpchelp.Struct): # PATHCONF3args
obj_handle: bytes = rpchelp.rpc_field(NFSFh3)
@dataclass
class PATHCONF3ResOK(rpchelp.Struct): # PATHCONF3resok
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
linkmax: int = rpchelp.rpc_field(Uint32)
name_max: int = rpchelp.rpc_field(Uint32)
no_trunc: bool = rpchelp.rpc_field(rpchelp.r_bool)
chown_restricted: bool = rpchelp.rpc_field(rpchelp.r_bool)
case_insensitive: bool = rpchelp.rpc_field(rpchelp.r_bool)
case_preserving: bool = rpchelp.rpc_field(rpchelp.r_bool)
@dataclass
class PATHCONF3ResFail(rpchelp.Struct): # PATHCONF3resfail
obj_attributes: typing.Optional[FAttr3] = rpchelp.rpc_field(PostOpAttr)
@dataclass
class PATHCONF3Res(rpchelp.Union): # PATHCONF3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[PATHCONF3ResFail] = rpchelp.rpc_field(PATHCONF3ResFail, default=None)
resok: typing.Optional[PATHCONF3ResOK] = rpchelp.rpc_field(PATHCONF3ResOK, default=None)
@dataclass
class COMMIT3Args(rpchelp.Struct): # COMMIT3args
file_handle: bytes = rpchelp.rpc_field(NFSFh3)
offset: int = rpchelp.rpc_field(Offset3)
count: int = rpchelp.rpc_field(Count3)
@dataclass
class COMMIT3ResOK(rpchelp.Struct): # COMMIT3resok
file_wcc: WccData = rpchelp.rpc_field(WccData)
verf: bytes = rpchelp.rpc_field(Writeverf3)
@dataclass
class COMMIT3ResFail(rpchelp.Struct): # COMMIT3resfail
file_wcc: WccData = rpchelp.rpc_field(WccData)
@dataclass
class COMMIT3Res(rpchelp.Union): # COMMIT3res
SWITCH_OPTIONS = {None: 'resfail', NFS3_OK: 'resok'}
status: typing.Union[NFSStat3, int] = rpchelp.rpc_field(NFSStat3)
resfail: typing.Optional[COMMIT3ResFail] = rpchelp.rpc_field(COMMIT3ResFail, default=None)
resok: typing.Optional[COMMIT3ResOK] = rpchelp.rpc_field(COMMIT3ResOK, default=None)
MNTPATHLEN = 1024
MNTNAMLEN = 255
FHSIZE3 = 64
FHandle3 = rpchelp.Opaque(rpchelp.LengthType.VAR, FHSIZE3)
DirPath = rpchelp.Opaque(rpchelp.LengthType.VAR, MNTPATHLEN)
Name = rpchelp.Opaque(rpchelp.LengthType.VAR, MNTNAMLEN)
class MountStat3(rpchelp.Enum): # mountstat3
MNT3_OK = 0
MNT3ERR_PERM = 1
MNT3ERR_NOENT = 2
MNT3ERR_IO = 5
MNT3ERR_ACCES = 13
MNT3ERR_NOTDIR = 20
MNT3ERR_INVAL = 22
MNT3ERR_NAMETOOLONG = 63
MNT3ERR_NOTSUPP = 10004
MNT3ERR_SERVERFAULT = 10006
@dataclass
class Mountres3OK(rpchelp.Struct): # mountres3_ok
fhandle: bytes = rpchelp.rpc_field(FHandle3)
auth_flavors: typing.List[int] = rpchelp.rpc_field(rpchelp.Array(rpchelp.r_int, rpchelp.LengthType.VAR, None))
@dataclass
class MountRes3(rpchelp.Union): # mountres3
SWITCH_OPTIONS = {None: None, MNT3_OK: 'mountinfo'}
fhs_status: typing.Union[MountStat3, int] = rpchelp.rpc_field(MountStat3)
mountinfo: typing.Optional[Mountres3OK] = rpchelp.rpc_field(Mountres3OK, default=None)
@dataclass
class MountList(rpchelp.LinkedList): # mountlist
hostname: bytes = rpchelp.rpc_field(Name)
directory: bytes = rpchelp.rpc_field(DirPath)
@dataclass
class GroupList(rpchelp.LinkedList): # grouplist
grname: bytes = rpchelp.rpc_field(Name)
@dataclass
class ExportList(rpchelp.LinkedList): # exportlist
filesys: bytes = rpchelp.rpc_field(DirPath)
groups: typing.List[bytes] = rpchelp.rpc_field(GroupList)
from shenaniganfs import client, transport
class NFS_PROGRAM_3_SERVER(transport.Prog):
prog = 100003
vers = 3
procs = {
0: rpchelp.Proc('NULL', rpchelp.r_void, []),
1: rpchelp.Proc('GETATTR', GETATTR3Res, [GETATTR3Args]),
2: rpchelp.Proc('SETATTR', SETATTR3Res, [SETATTR3Args]),
3: rpchelp.Proc('LOOKUP', LOOKUP3Res, [LOOKUP3Args]),
4: rpchelp.Proc('ACCESS', ACCESS3Res, [ACCESS3Args]),
5: rpchelp.Proc('READLINK', READLINK3Res, [READLINK3Args]),
6: rpchelp.Proc('READ', READ3Res, [READ3Args]),
7: rpchelp.Proc('WRITE', WRITE3Res, [WRITE3Args]),
8: rpchelp.Proc('CREATE', CREATE3Res, [CREATE3Args]),
9: rpchelp.Proc('MKDIR', MKDIR3Res, [MKDIR3Args]),
10: rpchelp.Proc('SYMLINK', SYMLINK3Res, [SYMLINK3Args]),
11: rpchelp.Proc('MKNOD', MKNOD3Res, [MKNOD3Args]),
12: rpchelp.Proc('REMOVE', REMOVE3Res, [REMOVE3Args]),
13: rpchelp.Proc('RMDIR', RMDIR3Res, [RMDIR3Args]),
14: rpchelp.Proc('RENAME', RENAME3Res, [RENAME3Args]),
15: rpchelp.Proc('LINK', LINK3Res, [LINK3Args]),
16: rpchelp.Proc('READDIR', READDIR3Res, [READDIR3Args]),
17: rpchelp.Proc('READDIRPLUS', READDIRPLUS3Res, [READDIRPLUS3Args]),
18: rpchelp.Proc('FSSTAT', FSSTAT3Res, [FSSTAT3Args]),
19: rpchelp.Proc('FSINFO', FSINFO3Res, [FSINFO3Args]),
20: rpchelp.Proc('PATHCONF', PATHCONF3Res, [PATHCONF3Args]),
21: rpchelp.Proc('COMMIT', COMMIT3Res, [COMMIT3Args]),
}
@abc.abstractmethod
async def NULL(self, call_ctx: transport.CallContext) \
-> transport.ProcRet[None]:
raise NotImplementedError()
@abc.abstractmethod
async def GETATTR(self, call_ctx: transport.CallContext, arg_0: GETATTR3Args) \
-> transport.ProcRet[GETATTR3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def SETATTR(self, call_ctx: transport.CallContext, arg_0: SETATTR3Args) \
-> transport.ProcRet[SETATTR3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def LOOKUP(self, call_ctx: transport.CallContext, arg_0: LOOKUP3Args) \
-> transport.ProcRet[LOOKUP3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def ACCESS(self, call_ctx: transport.CallContext, arg_0: ACCESS3Args) \
-> transport.ProcRet[ACCESS3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def READLINK(self, call_ctx: transport.CallContext, arg_0: READLINK3Args) \
-> transport.ProcRet[READLINK3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def READ(self, call_ctx: transport.CallContext, arg_0: READ3Args) \
-> transport.ProcRet[READ3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def WRITE(self, call_ctx: transport.CallContext, arg_0: WRITE3Args) \
-> transport.ProcRet[WRITE3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def CREATE(self, call_ctx: transport.CallContext, arg_0: CREATE3Args) \
-> transport.ProcRet[CREATE3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def MKDIR(self, call_ctx: transport.CallContext, arg_0: MKDIR3Args) \
-> transport.ProcRet[MKDIR3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def SYMLINK(self, call_ctx: transport.CallContext, arg_0: SYMLINK3Args) \
-> transport.ProcRet[SYMLINK3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def MKNOD(self, call_ctx: transport.CallContext, arg_0: MKNOD3Args) \
-> transport.ProcRet[MKNOD3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def REMOVE(self, call_ctx: transport.CallContext, arg_0: REMOVE3Args) \
-> transport.ProcRet[REMOVE3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def RMDIR(self, call_ctx: transport.CallContext, arg_0: RMDIR3Args) \
-> transport.ProcRet[RMDIR3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def RENAME(self, call_ctx: transport.CallContext, arg_0: RENAME3Args) \
-> transport.ProcRet[RENAME3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def LINK(self, call_ctx: transport.CallContext, arg_0: LINK3Args) \
-> transport.ProcRet[LINK3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def READDIR(self, call_ctx: transport.CallContext, arg_0: READDIR3Args) \
-> transport.ProcRet[READDIR3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def READDIRPLUS(self, call_ctx: transport.CallContext, arg_0: READDIRPLUS3Args) \
-> transport.ProcRet[READDIRPLUS3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def FSSTAT(self, call_ctx: transport.CallContext, arg_0: FSSTAT3Args) \
-> transport.ProcRet[FSSTAT3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def FSINFO(self, call_ctx: transport.CallContext, arg_0: FSINFO3Args) \
-> transport.ProcRet[FSINFO3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def PATHCONF(self, call_ctx: transport.CallContext, arg_0: PATHCONF3Args) \
-> transport.ProcRet[PATHCONF3Res]:
raise NotImplementedError()
@abc.abstractmethod
async def COMMIT(self, call_ctx: transport.CallContext, arg_0: COMMIT3Args) \
-> transport.ProcRet[COMMIT3Res]:
raise NotImplementedError()
class NFS_PROGRAM_3_CLIENT(client.BaseClient):
prog = 100003
vers = 3
procs = {
0: rpchelp.Proc('NULL', rpchelp.r_void, []),
1: rpchelp.Proc('GETATTR', GETATTR3Res, [GETATTR3Args]),
2: rpchelp.Proc('SETATTR', SETATTR3Res, [SETATTR3Args]),
3: rpchelp.Proc('LOOKUP', LOOKUP3Res, [LOOKUP3Args]),
4: rpchelp.Proc('ACCESS', ACCESS3Res, [ACCESS3Args]),
5: rpchelp.Proc('READLINK', READLINK3Res, [READLINK3Args]),
6: rpchelp.Proc('READ', READ3Res, [READ3Args]),
7: rpchelp.Proc('WRITE', WRITE3Res, [WRITE3Args]),
8: rpchelp.Proc('CREATE', CREATE3Res, [CREATE3Args]),
9: rpchelp.Proc('MKDIR', MKDIR3Res, [MKDIR3Args]),
10: rpchelp.Proc('SYMLINK', SYMLINK3Res, [SYMLINK3Args]),
11: rpchelp.Proc('MKNOD', MKNOD3Res, [MKNOD3Args]),
12: rpchelp.Proc('REMOVE', REMOVE3Res, [REMOVE3Args]),
13: rpchelp.Proc('RMDIR', RMDIR3Res, [RMDIR3Args]),
14: rpchelp.Proc('RENAME', RENAME3Res, [RENAME3Args]),
15: rpchelp.Proc('LINK', LINK3Res, [LINK3Args]),
16: rpchelp.Proc('READDIR', READDIR3Res, [READDIR3Args]),
17: rpchelp.Proc('READDIRPLUS', READDIRPLUS3Res, [READDIRPLUS3Args]),
18: rpchelp.Proc('FSSTAT', FSSTAT3Res, [FSSTAT3Args]),
19: rpchelp.Proc('FSINFO', FSINFO3Res, [FSINFO3Args]),
20: rpchelp.Proc('PATHCONF', PATHCONF3Res, [PATHCONF3Args]),
21: rpchelp.Proc('COMMIT', COMMIT3Res, [COMMIT3Args]),
}
async def NULL(self) -> client.UnpackedRPCMsg[None]:
return await self.send_call(0, )
async def GETATTR(self, arg_0: GETATTR3Args) -> client.UnpackedRPCMsg[GETATTR3Res]:
return await self.send_call(1, arg_0)
async def SETATTR(self, arg_0: SETATTR3Args) -> client.UnpackedRPCMsg[SETATTR3Res]:
return await self.send_call(2, arg_0)
async def LOOKUP(self, arg_0: LOOKUP3Args) -> client.UnpackedRPCMsg[LOOKUP3Res]:
return await self.send_call(3, arg_0)
async def ACCESS(self, arg_0: ACCESS3Args) -> client.UnpackedRPCMsg[ACCESS3Res]:
return await self.send_call(4, arg_0)
async def READLINK(self, arg_0: READLINK3Args) -> client.UnpackedRPCMsg[READLINK3Res]:
return await self.send_call(5, arg_0)
async def READ(self, arg_0: READ3Args) -> client.UnpackedRPCMsg[READ3Res]:
return await self.send_call(6, arg_0)
async def WRITE(self, arg_0: WRITE3Args) -> client.UnpackedRPCMsg[WRITE3Res]:
return await self.send_call(7, arg_0)
async def CREATE(self, arg_0: CREATE3Args) -> client.UnpackedRPCMsg[CREATE3Res]:
return await self.send_call(8, arg_0)
async def MKDIR(self, arg_0: MKDIR3Args) -> client.UnpackedRPCMsg[MKDIR3Res]:
return await self.send_call(9, arg_0)
async def SYMLINK(self, arg_0: SYMLINK3Args) -> client.UnpackedRPCMsg[SYMLINK3Res]:
return await self.send_call(10, arg_0)
async def MKNOD(self, arg_0: MKNOD3Args) -> client.UnpackedRPCMsg[MKNOD3Res]:
return await self.send_call(11, arg_0)
async def REMOVE(self, arg_0: REMOVE3Args) -> client.UnpackedRPCMsg[REMOVE3Res]:
return await self.send_call(12, arg_0)
async def RMDIR(self, arg_0: RMDIR3Args) -> client.UnpackedRPCMsg[RMDIR3Res]:
return await self.send_call(13, arg_0)
async def RENAME(self, arg_0: RENAME3Args) -> client.UnpackedRPCMsg[RENAME3Res]:
return await self.send_call(14, arg_0)
async def LINK(self, arg_0: LINK3Args) -> client.UnpackedRPCMsg[LINK3Res]:
return await self.send_call(15, arg_0)
async def READDIR(self, arg_0: READDIR3Args) -> client.UnpackedRPCMsg[READDIR3Res]:
return await self.send_call(16, arg_0)
async def READDIRPLUS(self, arg_0: READDIRPLUS3Args) -> client.UnpackedRPCMsg[READDIRPLUS3Res]:
return await self.send_call(17, arg_0)
async def FSSTAT(self, arg_0: FSSTAT3Args) -> client.UnpackedRPCMsg[FSSTAT3Res]:
return await self.send_call(18, arg_0)
async def FSINFO(self, arg_0: FSINFO3Args) -> client.UnpackedRPCMsg[FSINFO3Res]:
return await self.send_call(19, arg_0)
async def PATHCONF(self, arg_0: PATHCONF3Args) -> client.UnpackedRPCMsg[PATHCONF3Res]:
return await self.send_call(20, arg_0)
async def COMMIT(self, arg_0: COMMIT3Args) -> client.UnpackedRPCMsg[COMMIT3Res]:
return await self.send_call(21, arg_0)
class MOUNT_PROGRAM_3_SERVER(transport.Prog):
prog = 100005
vers = 3
procs = {
0: rpchelp.Proc('NULL', rpchelp.r_void, []),
1: rpchelp.Proc('MNT', MountRes3, [DirPath]),
2: rpchelp.Proc('DUMP', MountList, []),
3: rpchelp.Proc('UMNT', rpchelp.r_void, [DirPath]),
4: rpchelp.Proc('UMNTALL', rpchelp.r_void, []),
5: rpchelp.Proc('EXPORT', ExportList, []),
}
@abc.abstractmethod
async def NULL(self, call_ctx: transport.CallContext) \
-> transport.ProcRet[None]:
raise NotImplementedError()
@abc.abstractmethod
async def MNT(self, call_ctx: transport.CallContext, arg_0: bytes) \
-> transport.ProcRet[MountRes3]:
raise NotImplementedError()
@abc.abstractmethod
async def DUMP(self, call_ctx: transport.CallContext) \
-> transport.ProcRet[typing.List[MountList]]:
raise NotImplementedError()
@abc.abstractmethod
async def UMNT(self, call_ctx: transport.CallContext, arg_0: bytes) \
-> transport.ProcRet[None]:
raise NotImplementedError()
@abc.abstractmethod
async def UMNTALL(self, call_ctx: transport.CallContext) \
-> transport.ProcRet[None]:
raise NotImplementedError()
@abc.abstractmethod
async def EXPORT(self, call_ctx: transport.CallContext) \
-> transport.ProcRet[typing.List[ExportList]]:
raise NotImplementedError()
class MOUNT_PROGRAM_3_CLIENT(client.BaseClient):
prog = 100005
vers = 3
procs = {
0: rpchelp.Proc('NULL', rpchelp.r_void, []),
1: rpchelp.Proc('MNT', MountRes3, [DirPath]),
2: rpchelp.Proc('DUMP', MountList, []),
3: rpchelp.Proc('UMNT', rpchelp.r_void, [DirPath]),
4: rpchelp.Proc('UMNTALL', rpchelp.r_void, []),
5: rpchelp.Proc('EXPORT', ExportList, []),
}
async def NULL(self) -> client.UnpackedRPCMsg[None]:
return await self.send_call(0, )
async def MNT(self, arg_0: bytes) -> client.UnpackedRPCMsg[MountRes3]:
return await self.send_call(1, arg_0)
async def DUMP(self) -> client.UnpackedRPCMsg[typing.List[MountList]]:
return await self.send_call(2, )
async def UMNT(self, arg_0: bytes) -> client.UnpackedRPCMsg[None]:
return await self.send_call(3, arg_0)
async def UMNTALL(self) -> client.UnpackedRPCMsg[None]:
return await self.send_call(4, )
async def EXPORT(self) -> client.UnpackedRPCMsg[typing.List[ExportList]]:
return await self.send_call(5, )
__all__ = ['NFS_PROGRAM_3_SERVER', 'NFS_PROGRAM_3_CLIENT', 'MOUNT_PROGRAM_3_SERVER', 'MOUNT_PROGRAM_3_CLIENT', 'TRUE', 'FALSE', 'NFS3_FHSIZE', 'NFS3_COOKIEVERFSIZE', 'NFS3_CREATEVERFSIZE', 'NFS3_WRITEVERFSIZE', 'NFS3_OK', 'NFS3ERR_PERM', 'NFS3ERR_NOENT', 'NFS3ERR_IO', 'NFS3ERR_NXIO', 'NFS3ERR_ACCES', 'NFS3ERR_EXIST', 'NFS3ERR_XDEV', 'NFS3ERR_NODEV', 'NFS3ERR_NOTDIR', 'NFS3ERR_ISDIR', 'NFS3ERR_INVAL', 'NFS3ERR_FBIG', 'NFS3ERR_NOSPC', 'NFS3ERR_ROFS', 'NFS3ERR_MLINK', 'NFS3ERR_NAMETOOLONG', 'NFS3ERR_NOTEMPTY', 'NFS3ERR_DQUOT', 'NFS3ERR_STALE', 'NFS3ERR_REMOTE', 'NFS3ERR_BADHANDLE', 'NFS3ERR_NOT_SYNC', 'NFS3ERR_BAD_COOKIE', 'NFS3ERR_NOTSUPP', 'NFS3ERR_TOOSMALL', 'NFS3ERR_SERVERFAULT', 'NFS3ERR_BADTYPE', 'NFS3ERR_JUKEBOX', 'NF3REG', 'NF3DIR', 'NF3BLK', 'NF3CHR', 'NF3LNK', 'NF3SOCK', 'NF3FIFO', 'DONT_CHANGE', 'SET_TO_SERVER_TIME', 'SET_TO_CLIENT_TIME', 'ACCESS3_READ', 'ACCESS3_LOOKUP', 'ACCESS3_MODIFY', 'ACCESS3_EXTEND', 'ACCESS3_DELETE', 'ACCESS3_EXECUTE', 'UNSTABLE', 'DATA_SYNC', 'FILE_SYNC', 'UNCHECKED', 'GUARDED', 'EXCLUSIVE', 'FSF3_LINK', 'FSF3_SYMLINK', 'FSF3_HOMOGENEOUS', 'FSF3_CANSETTIME', 'MNTPATHLEN', 'MNTNAMLEN', 'FHSIZE3', 'MNT3_OK', 'MNT3ERR_PERM', 'MNT3ERR_NOENT', 'MNT3ERR_IO', 'MNT3ERR_ACCES', 'MNT3ERR_NOTDIR', 'MNT3ERR_INVAL', 'MNT3ERR_NAMETOOLONG', 'MNT3ERR_NOTSUPP', 'MNT3ERR_SERVERFAULT', 'Uint64', 'Int64', 'Uint32', 'Int32', 'Filename3', 'NFSPath3', 'Fileid3', 'Cookie3', 'Cookieverf3', 'Createverf3', 'Writeverf3', 'Uid3', 'Gid3', 'Size3', 'Offset3', 'Mode3', 'Count3', 'NFSStat3', 'Ftype3', 'SpecData3', 'NFSFh3', 'NFSTime3', 'FAttr3', 'WccAttr', 'PostOpAttr', 'PreOpAttr', 'WccData', 'PostOpFh3', 'TimeHow', 'SetMode3', 'SetUid3', 'SetGid3', 'SetSize3', 'SetTime', 'SAttr3', 'DiropArgs3', 'GETATTR3Args', 'GETATTR3ResOK', 'GETATTR3Res', 'Sattrguard3', 'SETATTR3Args', 'SETATTR3ResOK', 'SETATTR3ResFail', 'SETATTR3Res', 'LOOKUP3Args', 'LOOKUP3ResOK', 'LOOKUP3ResFail', 'LOOKUP3Res', 'ACCESS3Args', 'ACCESS3ResOK', 'ACCESS3ResFail', 'ACCESS3Res', 'READLINK3Args', 'READLINK3ResOK', 'READLINK3ResFail', 'READLINK3Res', 'READ3Args', 'READ3ResOK', 'READ3ResFail', 'READ3Res', 'StableHow', 'WRITE3Args', 'WRITE3ResOK', 'WRITE3ResFail', 'WRITE3Res', 'Createmode3', 'Createhow3', 'CREATE3Args', 'CREATE3ResOK', 'CREATE3ResFail', 'CREATE3Res', 'MKDIR3Args', 'MKDIR3ResOK', 'MKDIR3ResFail', 'MKDIR3Res', 'SymlinkData3', 'SYMLINK3Args', 'SYMLINK3ResOK', 'SYMLINK3ResFail', 'SYMLINK3Res', 'DeviceData3', 'MknodData3', 'MKNOD3Args', 'MKNOD3ResOK', 'MKNOD3ResFail', 'MKNOD3Res', 'REMOVE3Args', 'REMOVE3ResOK', 'REMOVE3ResFail', 'REMOVE3Res', 'RMDIR3Args', 'RMDIR3ResOK', 'RMDIR3ResFail', 'RMDIR3Res', 'RENAME3Args', 'RENAME3ResOK', 'RENAME3ResFail', 'RENAME3Res', 'LINK3Args', 'LINK3ResOK', 'LINK3ResFail', 'LINK3Res', 'READDIR3Args', 'Entry3', 'DirList3', 'READDIR3ResOK', 'READDIR3ResFail', 'READDIR3Res', 'READDIRPLUS3Args', 'Entryplus3', 'Dirlistplus3', 'READDIRPLUS3ResOK', 'READDIRPLUS3ResFail', 'READDIRPLUS3Res', 'FSSTAT3Args', 'FSSTAT3ResOK', 'FSSTAT3ResFail', 'FSSTAT3Res', 'FSINFO3Args', 'FSINFO3ResOK', 'FSINFO3ResFail', 'FSINFO3Res', 'PATHCONF3Args', 'PATHCONF3ResOK', 'PATHCONF3ResFail', 'PATHCONF3Res', 'COMMIT3Args', 'COMMIT3ResOK', 'COMMIT3ResFail', 'COMMIT3Res', 'FHandle3', 'DirPath', 'Name', 'MountStat3', 'Mountres3OK', 'MountRes3', 'MountList', 'GroupList', 'ExportList']
| 36.933769 | 3,317 | 0.731127 | 5,135 | 45,170 | 6.279065 | 0.087244 | 0.082188 | 0.123283 | 0.046336 | 0.565456 | 0.501287 | 0.430264 | 0.387185 | 0.360667 | 0.313867 | 0 | 0.042422 | 0.153531 | 45,170 | 1,222 | 3,318 | 36.963993 | 0.800863 | 0.030684 | 0 | 0.554098 | 1 | 0 | 0.071626 | 0.001008 | 0 | 0 | 0.001374 | 0 | 0 | 1 | 0 | false | 0 | 0.006557 | 0 | 0.554098 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 |
7f5c60a10d6639427097e82981665c3ad59a9a99 | 27,436 | py | Python | pksampler/ControlPanelForm.py | patrickkidd/pksampler-0.3 | ffe5f1fde1d86052da34d9ee9c44934461c441e2 | [
"MIT"
] | null | null | null | pksampler/ControlPanelForm.py | patrickkidd/pksampler-0.3 | ffe5f1fde1d86052da34d9ee9c44934461c441e2 | [
"MIT"
] | null | null | null | pksampler/ControlPanelForm.py | patrickkidd/pksampler-0.3 | ffe5f1fde1d86052da34d9ee9c44934461c441e2 | [
"MIT"
] | null | null | null | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file '/home/patrick/pksampler-0.3/pksampler/ControlPanelForm.ui'
#
# Created: Wed Jun 29 02:38:59 2005
# by: The PyQt User Interface Compiler (pyuic) 3.14.1
#
# WARNING! All changes made in this file will be lost!
import sys
from qt import *
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"\xa7\xa7\xdc\xfd\x43\xd2\xfa\xd8\x0b\x81\x17\xd0" \
"\xb2\x5b\xa8\x92\xc2\x9d\x74\x99\x51\x33\xa8\x9e" \
"\xa2\xa9\x9a\x3c\x09\x9e\xa0\x72\x8a\x9c\xcc\x21" \
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"\xa7\xd9\x28\x8a\x38\x6a\x1d\x51\xb8\x57\x40\xaa" \
"\x1f\x9e\x0b\xaf\x48\x40\x6f\xb7\x47\xb9\x56\xc6" \
"\x30\x0c\xa4\x94\x28\xa5\x50\x4a\x71\xab\x75\xeb" \
"\xd8\x86\xe4\x65\x72\x0a\x81\x7c\x4d\xf2\x6f\xc9" \
"\xcd\x66\xe0\x2f\x28\xf3\x75\x00\x00\x00\x00\x49" \
"\x45\x4e\x44\xae\x42\x60\x82"
class ControlPanelForm(QDialog):
def __init__(self,parent = None,name = None,modal = 0,fl = 0):
QDialog.__init__(self,parent,name,modal,fl)
self.image0 = QPixmap()
self.image0.loadFromData(image0_data,"PNG")
if not name:
self.setName("ControlPanelForm")
self.setIcon(self.image0)
self.setSizeGripEnabled(0)
self.setModal(1)
ControlPanelFormLayout = QVBoxLayout(self,6,5,"ControlPanelFormLayout")
self.tabWidget2 = QTabWidget(self,"tabWidget2")
self.tab = QWidget(self.tabWidget2,"tab")
tabLayout = QVBoxLayout(self.tab,6,6,"tabLayout")
self.groupBox2 = QGroupBox(self.tab,"groupBox2")
self.groupBox2.setLineWidth(2)
self.groupBox2.setColumnLayout(0,Qt.Vertical)
self.groupBox2.layout().setSpacing(6)
self.groupBox2.layout().setMargin(6)
groupBox2Layout = QGridLayout(self.groupBox2.layout())
groupBox2Layout.setAlignment(Qt.AlignTop)
spacer2 = QSpacerItem(170,21,QSizePolicy.Expanding,QSizePolicy.Minimum)
groupBox2Layout.addItem(spacer2,1,0)
self.pathListBox = QListBox(self.groupBox2,"pathListBox")
groupBox2Layout.addMultiCellWidget(self.pathListBox,0,0,0,2)
self.removePathButton = QPushButton(self.groupBox2,"removePathButton")
self.removePathButton.setEnabled(0)
groupBox2Layout.addWidget(self.removePathButton,1,1)
self.addPathButton = QPushButton(self.groupBox2,"addPathButton")
groupBox2Layout.addWidget(self.addPathButton,1,2)
tabLayout.addWidget(self.groupBox2)
layout7 = QHBoxLayout(None,0,6,"layout7")
layout6 = QHBoxLayout(None,0,6,"layout6")
self.textLabel1_6 = QLabel(self.tab,"textLabel1_6")
layout6.addWidget(self.textLabel1_6)
self.animationGranularityComboBox = QComboBox(0,self.tab,"animationGranularityComboBox")
layout6.addWidget(self.animationGranularityComboBox)
layout7.addLayout(layout6)
spacer3 = QSpacerItem(90,21,QSizePolicy.Expanding,QSizePolicy.Minimum)
layout7.addItem(spacer3)
layout2 = QHBoxLayout(None,0,6,"layout2")
self.textLabel1_2 = QLabel(self.tab,"textLabel1_2")
layout2.addWidget(self.textLabel1_2)
self.pitchComboBox = QComboBox(0,self.tab,"pitchComboBox")
layout2.addWidget(self.pitchComboBox)
layout7.addLayout(layout2)
tabLayout.addLayout(layout7)
self.groupBox4 = QGroupBox(self.tab,"groupBox4")
self.groupBox4.setColumnLayout(0,Qt.Vertical)
self.groupBox4.layout().setSpacing(6)
self.groupBox4.layout().setMargin(6)
groupBox4Layout = QVBoxLayout(self.groupBox4.layout())
groupBox4Layout.setAlignment(Qt.AlignTop)
layout5 = QHBoxLayout(None,0,6,"layout5")
self.gradientsCheckBox = QCheckBox(self.groupBox4,"gradientsCheckBox")
layout5.addWidget(self.gradientsCheckBox)
spacer7 = QSpacerItem(116,21,QSizePolicy.Expanding,QSizePolicy.Minimum)
layout5.addItem(spacer7)
self.useOutputCheckBox = QCheckBox(self.groupBox4,"useOutputCheckBox")
layout5.addWidget(self.useOutputCheckBox)
groupBox4Layout.addLayout(layout5)
layout4 = QVBoxLayout(None,0,6,"layout4")
self.updateIntervalSlider = QSlider(self.groupBox4,"updateIntervalSlider")
self.updateIntervalSlider.setMaxValue(500)
self.updateIntervalSlider.setValue(100)
self.updateIntervalSlider.setOrientation(QSlider.Horizontal)
self.updateIntervalSlider.setTickmarks(QSlider.Below)
self.updateIntervalSlider.setTickInterval(50)
layout4.addWidget(self.updateIntervalSlider)
layout3 = QHBoxLayout(None,0,6,"layout3")
self.textLabel2_4 = QLabel(self.groupBox4,"textLabel2_4")
layout3.addWidget(self.textLabel2_4)
spacer4 = QSpacerItem(61,21,QSizePolicy.Expanding,QSizePolicy.Minimum)
layout3.addItem(spacer4)
self.textLabel1_5 = QLabel(self.groupBox4,"textLabel1_5")
layout3.addWidget(self.textLabel1_5)
spacer5 = QSpacerItem(61,21,QSizePolicy.Expanding,QSizePolicy.Minimum)
layout3.addItem(spacer5)
self.textLabel3 = QLabel(self.groupBox4,"textLabel3")
layout3.addWidget(self.textLabel3)
layout4.addLayout(layout3)
groupBox4Layout.addLayout(layout4)
tabLayout.addWidget(self.groupBox4)
self.tabWidget2.insertTab(self.tab,QString.fromLatin1(""))
self.tab_2 = QWidget(self.tabWidget2,"tab_2")
tabLayout_2 = QVBoxLayout(self.tab_2,6,6,"tabLayout_2")
self.groupBox1 = QGroupBox(self.tab_2,"groupBox1")
self.groupBox1.setEnabled(0)
self.groupBox1.setLineWidth(2)
self.groupBox1.setColumnLayout(0,Qt.Vertical)
self.groupBox1.layout().setSpacing(6)
self.groupBox1.layout().setMargin(6)
groupBox1Layout = QGridLayout(self.groupBox1.layout())
groupBox1Layout.setAlignment(Qt.AlignTop)
self.textLabel2 = QLabel(self.groupBox1,"textLabel2")
self.textLabel2.setSizePolicy(QSizePolicy(QSizePolicy.Fixed,QSizePolicy.Preferred,0,0,self.textLabel2.sizePolicy().hasHeightForWidth()))
groupBox1Layout.addWidget(self.textLabel2,0,1)
self.bufferSizeListBox = QListBox(self.groupBox1,"bufferSizeListBox")
self.bufferSizeListBox.setEnabled(0)
self.bufferSizeListBox.setSizePolicy(QSizePolicy(QSizePolicy.Fixed,QSizePolicy.Expanding,0,0,self.bufferSizeListBox.sizePolicy().hasHeightForWidth()))
self.bufferSizeListBox.setFrameShape(QListBox.StyledPanel)
groupBox1Layout.addWidget(self.bufferSizeListBox,1,1)
self.textLabel1 = QLabel(self.groupBox1,"textLabel1")
self.textLabel1.setPaletteForegroundColor(QColor(255,0,0))
groupBox1Layout.addWidget(self.textLabel1,0,0)
self.driverListBox = QListBox(self.groupBox1,"driverListBox")
groupBox1Layout.addWidget(self.driverListBox,1,0)
tabLayout_2.addWidget(self.groupBox1)
self.groupBox3 = QGroupBox(self.tab_2,"groupBox3")
self.groupBox3.setLineWidth(2)
self.groupBox3.setColumnLayout(0,Qt.Vertical)
self.groupBox3.layout().setSpacing(6)
self.groupBox3.layout().setMargin(6)
groupBox3Layout = QGridLayout(self.groupBox3.layout())
groupBox3Layout.setAlignment(Qt.AlignTop)
self.cueOutputListBox = QListBox(self.groupBox3,"cueOutputListBox")
groupBox3Layout.addWidget(self.cueOutputListBox,2,1)
self.mainOutputListBox = QListBox(self.groupBox3,"mainOutputListBox")
groupBox3Layout.addWidget(self.mainOutputListBox,2,0)
self.textLabel2_2 = QLabel(self.groupBox3,"textLabel2_2")
groupBox3Layout.addWidget(self.textLabel2_2,1,1)
self.textLabel1_3 = QLabel(self.groupBox3,"textLabel1_3")
groupBox3Layout.addWidget(self.textLabel1_3,1,0)
self.textLabel2_3 = QLabel(self.groupBox3,"textLabel2_3")
groupBox3Layout.addMultiCellWidget(self.textLabel2_3,0,0,0,1)
tabLayout_2.addWidget(self.groupBox3)
self.tabWidget2.insertTab(self.tab_2,QString.fromLatin1(""))
self.TabPage = QWidget(self.tabWidget2,"TabPage")
TabPageLayout = QVBoxLayout(self.TabPage,6,6,"TabPageLayout")
self.textLabel1_4 = QLabel(self.TabPage,"textLabel1_4")
TabPageLayout.addWidget(self.textLabel1_4)
self.effectsListBox = QListBox(self.TabPage,"effectsListBox")
self.effectsListBox.setSelectionMode(QListBox.NoSelection)
TabPageLayout.addWidget(self.effectsListBox)
self.tabWidget2.insertTab(self.TabPage,QString.fromLatin1(""))
ControlPanelFormLayout.addWidget(self.tabWidget2)
layout4_2 = QHBoxLayout(None,0,6,"layout4_2")
Horizontal_Spacing2 = QSpacerItem(198,20,QSizePolicy.Expanding,QSizePolicy.Minimum)
layout4_2.addItem(Horizontal_Spacing2)
self.buttonOk = QPushButton(self,"buttonOk")
self.buttonOk.setAutoDefault(1)
self.buttonOk.setDefault(1)
layout4_2.addWidget(self.buttonOk)
self.buttonApply = QPushButton(self,"buttonApply")
self.buttonApply.setEnabled(0)
layout4_2.addWidget(self.buttonApply)
self.buttonCancel = QPushButton(self,"buttonCancel")
self.buttonCancel.setAutoDefault(1)
layout4_2.addWidget(self.buttonCancel)
ControlPanelFormLayout.addLayout(layout4_2)
self.languageChange()
self.resize(QSize(441,393).expandedTo(self.minimumSizeHint()))
self.clearWState(Qt.WState_Polished)
self.connect(self.buttonApply,SIGNAL("clicked()"),self.slotApply)
self.connect(self.gradientsCheckBox,SIGNAL("toggled(bool)"),self.setDirty)
self.connect(self.pitchComboBox,SIGNAL("activated(const QString&)"),self.setDirty)
self.connect(self.pathListBox,SIGNAL("selectionChanged()"),self.slotPathSelectionChanged)
self.connect(self.removePathButton,SIGNAL("clicked()"),self.slotRemovePath)
self.connect(self.addPathButton,SIGNAL("clicked()"),self.slotAddPath)
self.connect(self.buttonOk,SIGNAL("clicked()"),self.accept)
self.connect(self.buttonOk,SIGNAL("clicked()"),self.slotApply)
self.connect(self.buttonCancel,SIGNAL("clicked()"),self.reject)
self.connect(self.bufferSizeListBox,SIGNAL("highlighted(const QString&)"),self.setDirty)
self.connect(self.driverListBox,SIGNAL("highlighted(const QString&)"),self.setDirty)
self.connect(self.mainOutputListBox,SIGNAL("selectionChanged(QListBoxItem*)"),self.slotMainOutputSelected)
self.connect(self.cueOutputListBox,SIGNAL("selectionChanged(QListBoxItem*)"),self.slotCueOutputSelected)
self.connect(self.updateIntervalSlider,SIGNAL("sliderMoved(int)"),self.setDirty)
self.connect(self.useOutputCheckBox,SIGNAL("stateChanged(int)"),self.setDirty)
self.connect(self.updateIntervalSlider,SIGNAL("valueChanged(int)"),self.slotUpdateInterval)
self.connect(self.animationGranularityComboBox,SIGNAL("activated(const QString&)"),self.setDirty)
def languageChange(self):
self.setCaption(self.__tr("PKSampler: Control Panel"))
self.groupBox2.setTitle(self.__tr("Selector Paths"))
self.removePathButton.setText(self.__tr("Remove"))
self.addPathButton.setText(self.__tr("Add..."))
self.textLabel1_6.setText(self.__tr("Animation granularity\n"
"(more = faster)"))
self.animationGranularityComboBox.clear()
self.animationGranularityComboBox.insertItem(self.__tr("1"))
self.animationGranularityComboBox.insertItem(self.__tr("2"))
self.animationGranularityComboBox.insertItem(self.__tr("3"))
self.animationGranularityComboBox.insertItem(self.__tr("4"))
self.animationGranularityComboBox.insertItem(self.__tr("6"))
self.animationGranularityComboBox.insertItem(self.__tr("8"))
self.textLabel1_2.setText(self.__tr("Pitch Max"))
self.pitchComboBox.clear()
self.pitchComboBox.insertItem(self.__tr("8%"))
self.pitchComboBox.insertItem(self.__tr("12%"))
self.pitchComboBox.insertItem(self.__tr("24%"))
self.pitchComboBox.insertItem(self.__tr("100%"))
self.groupBox4.setTitle(self.__tr("User Interface"))
self.gradientsCheckBox.setText(self.__tr("Draw Gradients"))
self.useOutputCheckBox.setText(self.__tr("Use Output Window"))
QToolTip.add(self.updateIntervalSlider,self.__tr("Adjusts the display interval for all user interface components"))
self.textLabel2_4.setText(self.__tr("Faster (0ms)"))
self.textLabel1_5.setText(self.__tr("GUI Update interval"))
self.textLabel3.setText(self.__tr("Slower (500ms)"))
self.tabWidget2.changeTab(self.tab,self.__tr("General"))
self.groupBox1.setTitle(self.__tr("Driver"))
self.textLabel2.setText(self.__tr("Buffer Size (bytes)"))
self.bufferSizeListBox.clear()
self.bufferSizeListBox.insertItem(self.__tr("256"))
self.bufferSizeListBox.insertItem(self.__tr("512"))
self.bufferSizeListBox.insertItem(self.__tr("1024"))
self.bufferSizeListBox.insertItem(self.__tr("2048"))
self.bufferSizeListBox.insertItem(self.__tr("4096"))
self.textLabel1.setText(self.__tr("<u>You may need to restart the application for these.</u>"))
self.driverListBox.clear()
self.driverListBox.insertItem(self.__tr("alsa"))
self.driverListBox.insertItem(self.__tr("arts"))
self.driverListBox.insertItem(self.__tr("devdsp"))
self.driverListBox.insertItem(self.__tr("null"))
self.groupBox3.setTitle(self.__tr("Outputs"))
self.textLabel2_2.setText(self.__tr("Cue"))
self.textLabel1_3.setText(self.__tr("Main"))
self.textLabel2_3.setText(self.__tr("Select the audio devices to be used for the main and cue zones."))
self.tabWidget2.changeTab(self.tab_2,self.__tr("Audio Devices"))
self.textLabel1_4.setText(self.__tr("Detected LadspaPlugins. These plugins cannot be used yet."))
self.tabWidget2.changeTab(self.TabPage,self.__tr("Effects"))
self.buttonOk.setText(self.__tr("&OK"))
self.buttonOk.setAccel(QString.null)
self.buttonApply.setText(self.__tr("A&pply"))
self.buttonApply.setAccel(self.__tr("Alt+P"))
self.buttonCancel.setText(self.__tr("&Cancel"))
self.buttonCancel.setAccel(QString.null)
def slotApply(self):
print "ControlPanelForm.slotApply(): Not implemented yet"
def slotAddPath(self):
print "ControlPanelForm.slotAddPath(): Not implemented yet"
def slotRemovePath(self):
print "ControlPanelForm.slotRemovePath(): Not implemented yet"
def slotPathSelectionChanged(self):
print "ControlPanelForm.slotPathSelectionChanged(): Not implemented yet"
def slotPitchRangeChanged(self,a0):
print "ControlPanelForm.slotPitchRangeChanged(const QString&): Not implemented yet"
def slotMainOutputSelected(self,a0):
print "ControlPanelForm.slotMainOutputSelected(QListBoxItem*): Not implemented yet"
def slotCueOutputSelected(self,a0):
print "ControlPanelForm.slotCueOutputSelected(QListBoxItem*): Not implemented yet"
def slotUpdateInterval(self,a0):
print "ControlPanelForm.slotUpdateInterval(int): Not implemented yet"
def setDirty(self):
print "ControlPanelForm.setDirty(): Not implemented yet"
def __tr(self,s,c = None):
return qApp.translate("ControlPanelForm",s,c)
if __name__ == "__main__":
a = QApplication(sys.argv)
QObject.connect(a,SIGNAL("lastWindowClosed()"),a,SLOT("quit()"))
w = ControlPanelForm()
a.setMainWidget(w)
w.show()
a.exec_loop()
| 49.256732 | 158 | 0.675135 | 4,139 | 27,436 | 4.434646 | 0.137714 | 0.015364 | 0.016562 | 0.009807 | 0.106293 | 0.029638 | 0.023427 | 0.013402 | 0.013402 | 0 | 0 | 0.157879 | 0.140035 | 27,436 | 556 | 159 | 49.345324 | 0.620073 | 0.01006 | 0 | 0 | 1 | 0.455319 | 0.453816 | 0.39673 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0 | 0.004255 | null | null | 0.019149 | 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 | 1 | 0 | 0 | null | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7f69edf35f8e4bcc9bc0a61151304a9e10c71491 | 3,419 | py | Python | person/migrations/0002_driver_name.py | zhangpotato/kx_backmanage | 5a484c19616a77a75698f63b8fa220ee027c0c17 | [
"Apache-2.0"
] | null | null | null | person/migrations/0002_driver_name.py | zhangpotato/kx_backmanage | 5a484c19616a77a75698f63b8fa220ee027c0c17 | [
"Apache-2.0"
] | null | null | null | person/migrations/0002_driver_name.py | zhangpotato/kx_backmanage | 5a484c19616a77a75698f63b8fa220ee027c0c17 | [
"Apache-2.0"
] | null | null | null | # Generated by Django 2.1.5 on 2019-02-03 12:18
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
('person', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Driver_name',
fields=[
('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')),
('username', models.CharField(blank=True, max_length=30, null=True)),
('password', models.CharField(blank=True, max_length=30, null=True)),
('level', models.IntegerField(blank=True, null=True)),
('image', models.ImageField(blank=True, null=True, upload_to='')),
('name', models.CharField(blank=True, max_length=15, null=True)),
('sex', models.CharField(blank=True, max_length=5, null=True)),
('idcard', models.CharField(blank=True, max_length=20, null=True)),
('age', models.IntegerField(blank=True, null=True)),
('phone', models.CharField(blank=True, max_length=20, null=True)),
('drive_type', models.CharField(blank=True, max_length=20, null=True)),
('idcard_start', models.DateTimeField(blank=True, null=True)),
('idcard_end', models.DateTimeField(blank=True, null=True)),
('police_address', models.CharField(blank=True, max_length=50, null=True)),
('family_name', models.CharField(blank=True, max_length=20, null=True)),
('family_phone', models.CharField(blank=True, max_length=20, null=True)),
('family_relation', models.CharField(blank=True, max_length=10, null=True)),
('family_address', models.CharField(blank=True, max_length=100, null=True)),
('driver_card_number', models.CharField(blank=True, max_length=20, null=True)),
('driver_file_number', models.CharField(blank=True, max_length=50, null=True)),
('work_grade', models.CharField(blank=True, max_length=50, null=True)),
('in_time', models.DateTimeField(blank=True, null=True)),
('address', models.CharField(blank=True, max_length=50, null=True)),
('driver_card_endtime', models.DateTimeField(blank=True, null=True)),
('grade_content', models.CharField(blank=True, max_length=50, null=True)),
('drive_card_updatetime', models.DateTimeField(blank=True, null=True)),
('work_number', models.CharField(blank=True, max_length=30, null=True)),
('work_use_date', models.DateTimeField(blank=True, null=True)),
('work_type', models.CharField(blank=True, max_length=50, null=True)),
('next_study_time', models.DateTimeField(blank=True, null=True)),
('grade_log', models.CharField(blank=True, max_length=50, null=True)),
('integrity_content', models.CharField(blank=True, max_length=50, null=True)),
('min_phonenumber', models.CharField(blank=True, max_length=6, null=True)),
('other', models.CharField(blank=True, max_length=100, null=True)),
],
options={
'verbose_name': 'driver_name',
'db_table': 'driver_name',
},
),
]
| 57.949153 | 114 | 0.598713 | 388 | 3,419 | 5.118557 | 0.237113 | 0.149547 | 0.231621 | 0.277946 | 0.699899 | 0.699899 | 0.57855 | 0.437563 | 0.437563 | 0.176737 | 0 | 0.025331 | 0.249488 | 3,419 | 58 | 115 | 58.948276 | 0.748636 | 0.013162 | 0 | 0 | 1 | 0 | 0.126631 | 0.006228 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0.019608 | 0.019608 | 0 | 0.098039 | 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 |
7f6f28798257d254df3d12c07dd2ddef60089cbd | 205 | py | Python | src/onceml/types/component_msg.py | lzmchina/OnceML | f30d9037d2e492d8d45b858f2be3b27fc5258356 | [
"MIT"
] | 1 | 2022-01-01T07:15:03.000Z | 2022-01-01T07:15:03.000Z | src/onceml/types/component_msg.py | lzmchina/OnceML | f30d9037d2e492d8d45b858f2be3b27fc5258356 | [
"MIT"
] | null | null | null | src/onceml/types/component_msg.py | lzmchina/OnceML | f30d9037d2e492d8d45b858f2be3b27fc5258356 | [
"MIT"
] | null | null | null | from enum import Enum
# component数据文件里具体的子目录划分
class Component_Data_URL(Enum):
STATE = 'state.json' # 组件状态的文件
CHANNELS = 'result.json' # 组件的运行结果，轻量化数据
ARTIFACTS = 'artifact' # 组件产生的各种数据文件
| 22.777778 | 45 | 0.712195 | 22 | 205 | 6.545455 | 0.818182 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.195122 | 205 | 8 | 46 | 25.625 | 0.872727 | 0.273171 | 0 | 0 | 0 | 0 | 0.201389 | 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 |
7f786ba3af87092f7b856f92aae67a384e2a54d8 | 106 | py | Python | rwafake/data/emails/domains.py | knowbee/py-rwafaker | 7ca4ba0538cc7536bfcb9a2147bc9a811bc4b1ed | [
"MIT"
] | 1 | 2021-10-10T04:25:25.000Z | 2021-10-10T04:25:25.000Z | rwafake/data/emails/domains.py | knowbee/py-rwafaker | 7ca4ba0538cc7536bfcb9a2147bc9a811bc4b1ed | [
"MIT"
] | null | null | null | rwafake/data/emails/domains.py | knowbee/py-rwafaker | 7ca4ba0538cc7536bfcb9a2147bc9a811bc4b1ed | [
"MIT"
] | null | null | null | email = [
"rwandaonline.rw",
"rra.gov.rw",
"ur.ac.rw",
"gmail.com",
"yahoo.com",
"yahoo.fr"
]
| 11.777778 | 20 | 0.528302 | 15 | 106 | 3.733333 | 0.733333 | 0.285714 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.207547 | 106 | 8 | 21 | 13.25 | 0.666667 | 0 | 0 | 0 | 0 | 0 | 0.556604 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
7f9abff28b4e1dbb0769bc77184cfc5a507bbbc3 | 18,931 | py | Python | contrib/addons/test/nagios/plugins/test_sys_logger.py | cglewis/ambari | e5d7e08e42baea2ad15784400c6f9e7ebb5f1608 | [
"Apache-2.0"
] | 2 | 2018-06-06T14:21:11.000Z | 2018-06-06T14:22:50.000Z | contrib/addons/test/nagios/plugins/test_sys_logger.py | cglewis/ambari | e5d7e08e42baea2ad15784400c6f9e7ebb5f1608 | [
"Apache-2.0"
] | null | null | null | contrib/addons/test/nagios/plugins/test_sys_logger.py | cglewis/ambari | e5d7e08e42baea2ad15784400c6f9e7ebb5f1608 | [
"Apache-2.0"
] | 2 | 2020-11-04T06:30:31.000Z | 2020-11-06T11:02:33.000Z | #!/usr/bin/python
# 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.
import sys
sys.path.append('../src')
import sys_logger
tests_passed = 0
tests_failed = 0
def test_log_tvi_msg(msg):
global tests_passed, tests_failed
if msg == expected_log_msg:
print 'Test Passed'
tests_passed += 1
else:
print '*** TEST FAILED ***'
print 'Expected MSG: {0}'.format(expected_log_msg)
print 'Actual MSG : {0}'.format(msg)
tests_failed += 1
sys_logger.log_tvi_msg = test_log_tvi_msg
def test(tvi_rule, expected_msg, arg1, arg2, arg3, arg4, arg5):
sys.stdout.write(tvi_rule + ': ')
global expected_log_msg
expected_log_msg = expected_msg
sys_logger.generate_tvi_log_msg(arg1, arg2, arg3, arg4, arg5)
def summary():
total_tests = tests_passed + tests_failed
print '\nTests Run: {0}'.format(total_tests)
print 'Passed: {0}, Failed: {1}'.format(tests_passed, tests_failed)
if not tests_failed:
print 'SUCCESS! All tests pass.'
# Hadoop_Host_Down
test('Hadoop_Host_Down',
'Critical: Hadoop: host_down# Event Host=MY_HOST(CRITICAL), PING FAILED - Packet loss = 100%, RTA = 0.00 ms',
'HARD', '1', 'CRITICAL', 'Host::Ping', 'Event Host=MY_HOST(CRITICAL), PING FAILED - Packet loss = 100%, RTA = 0.00 ms')
test('Hadoop_Host_Down:OK',
'OK: Hadoop: host_down_ok# Event Host=MY_HOST(OK), PING SUCCESS - Packet loss = 0%, RTA = 1.00 ms',
'HARD', '1', 'OK', 'Host::Ping', 'Event Host=MY_HOST(OK), PING SUCCESS - Packet loss = 0%, RTA = 1.00 ms')
# Hadoop_Master_Daemon_CPU_Utilization
test('Hadoop_Master_Daemon_CPU_Utilization',
'Critical: Hadoop: master_cpu_utilization# Event Host=MY_HOST Service Description=HBASEMASTER::HBaseMaster CPU utilization(CRITICAL), 4 CPU, average load 2.5% 200%',
'HARD', '1', 'CRITICAL', 'HBASEMASTER::HBaseMaster CPU utilization',
'Event Host=MY_HOST Service Description=HBASEMASTER::HBaseMaster CPU utilization(CRITICAL), 4 CPU, average load 2.5% 200%')
test('Hadoop_Master_Daemon_CPU_Utilization:Degraded',
'Degraded: Hadoop: master_cpu_utilization# Event Host=MY_HOST Service Description=HBASEMASTER::HBaseMaster CPU utilization(CRITICAL), 4 CPU, average load 2.5% 200%',
'HARD', '1', 'WARNING', 'HBASEMASTER::HBaseMaster CPU utilization',
'Event Host=MY_HOST Service Description=HBASEMASTER::HBaseMaster CPU utilization(CRITICAL), 4 CPU, average load 2.5% 200%')
test('Hadoop_Master_Daemon_CPU_Utilization:OK',
'OK: Hadoop: master_cpu_utilization_ok# Event Host=MY_HOST Service Description=HBASEMASTER::HBaseMaster CPU utilization(OK), 4 CPU, average load 2.5% 200%',
'HARD', '1', 'OK', 'HBASEMASTER::HBaseMaster CPU utilization',
'Event Host=MY_HOST Service Description=HBASEMASTER::HBaseMaster CPU utilization(OK), 4 CPU, average load 2.5% 200%')
# Hadoop_HDFS_Percent_Capacity
test('Hadoop_HDFS_Percent_Capacity',
'Critical: Hadoop: hdfs_percent_capacity# Event Host=MY_HOST Service Description=HDFS::HDFS Capacity utilization(CRITICAL),DFSUsedGB:0.1, DFSTotalGB:1568.7',
'HARD', '1', 'CRITICAL', 'HDFS::HDFS Capacity utilization',
'Event Host=MY_HOST Service Description=HDFS::HDFS Capacity utilization(CRITICAL),DFSUsedGB:0.1, DFSTotalGB:1568.7')
test('Hadoop_HDFS_Percent_Capacity:OK',
'OK: Hadoop: hdfs_percent_capacity_ok# Event Host=MY_HOST Service Description=HDFS::HDFS Capacity utilization(OK),DFSUsedGB:0.1, DFSTotalGB:1568.7',
'HARD', '1', 'OK', 'HDFS::HDFS Capacity utilization',
'Event Host=MY_HOST Service Description=HDFS::HDFS Capacity utilization(OK),DFSUsedGB:0.1, DFSTotalGB:1568.7')
# Hadoop_HDFS_Corrupt_Missing_Blocks
test('Hadoop_HDFS_Corrupt_Missing_Blocks',
'Critical: Hadoop: hdfs_block# Event Host=MY_HOST Service Description=HDFS::Corrupt/Missing blocks(CRITICAL), corrupt_blocks:0, missing_blocks:0, total_blocks:147',
'HARD', '1', 'CRITICAL', 'HDFS::Corrupt/Missing blocks',
'Event Host=MY_HOST Service Description=HDFS::Corrupt/Missing blocks(CRITICAL), corrupt_blocks:0, missing_blocks:0, total_blocks:147')
test('Hadoop_HDFS_Corrupt_Missing_Blocks:OK',
'OK: Hadoop: hdfs_block_ok# Event Host=MY_HOST Service Description=HDFS::Corrupt/Missing blocks(OK), corrupt_blocks:0, missing_blocks:0, total_blocks:147',
'HARD', '1', 'OK', 'HDFS::Corrupt/Missing blocks',
'Event Host=MY_HOST Service Description=HDFS::Corrupt/Missing blocks(OK), corrupt_blocks:0, missing_blocks:0, total_blocks:147')
# Hadoop_NameNode_Edit_Log_Dir_Write
test('Hadoop_NameNode_Edit_Log_Dir_Write',
'Critical: Hadoop: namenode_edit_log_write# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'NAMENODE::Namenode Edit logs directory status', 'SERVICE MSG')
test('Hadoop_NameNode_Edit_Log_Dir_Write:OK',
'OK: Hadoop: namenode_edit_log_write_ok# SERVICE MSG',
'HARD', '1', 'OK', 'NAMENODE::Namenode Edit logs directory status', 'SERVICE MSG')
# Hadoop_DataNode_Down
test('Hadoop_DataNode_Down',
'Critical: Hadoop: datanode_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'HDFS::Percent DataNodes down','SERVICE MSG')
test('Hadoop_DataNode_Down:OK',
'OK: Hadoop: datanode_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'HDFS::Percent DataNodes down','SERVICE MSG')
# Hadoop_DataNode_Process_Down
test('Hadoop_DataNode_Process_Down',
'Critical: Hadoop: datanode_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'DATANODE::Process down', 'SERVICE MSG')
test('Hadoop_DataNode_Process_Down:OK',
'OK: Hadoop: datanode_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'DATANODE::Process down', 'SERVICE MSG')
# Hadoop_Percent_DataNodes_Storage_Full
test('Hadoop_Percent_DataNodes_Storage_Full',
'Critical: Hadoop: datanodes_percent_storage_full# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'HDFS::Percent DataNodes storage full', 'SERVICE MSG')
test('Hadoop_Percent_DataNodes_Storage_Full:OK',
'OK: Hadoop: datanodes_percent_storage_full_ok# SERVICE MSG',
'HARD', '1', 'OK', 'HDFS::Percent DataNodes storage full', 'SERVICE MSG')
# Hadoop_NameNode_Process_Down
test('Hadoop_NameNode_Process_Down:CRITICAL',
'Fatal: Hadoop: namenode_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'NAMENODE::Namenode Process down', 'SERVICE MSG')
test('Hadoop_NameNode_Process_Down:WARNING',
'Fatal: Hadoop: namenode_process_down# SERVICE MSG',
'HARD', '1', 'WARNING', 'NAMENODE::Namenode Process down', 'SERVICE MSG')
test('Hadoop_NameNode_Process_Down:UNKNOWN',
'Fatal: Hadoop: namenode_process_down# SERVICE MSG',
'HARD', '1', 'UNKNOWN', 'NAMENODE::Namenode Process down', 'SERVICE MSG')
test('Hadoop_NameNode_Process_Down:OK',
'OK: Hadoop: namenode_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'NAMENODE::Namenode Process down', 'SERVICE MSG')
# Hadoop_Secondary_NameNode_Process_Down
test('Hadoop_Secondary_NameNode_Process_Down',
'Critical: Hadoop: secondary_namenode_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'NAMENODE::Secondary Namenode Process down', 'SERVICE MSG')
test('Hadoop_Secondary_NameNode_Process_Down:OK',
'OK: Hadoop: secondary_namenode_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'NAMENODE::Secondary Namenode Process down', 'SERVICE MSG')
# Hadoop_NameNode_RPC_Latency
test('Hadoop_NameNode_RPC_Latency',
'Critical: Hadoop: namenode_rpc_latency# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'HDFS::Namenode RPC Latency', 'SERVICE MSG')
test('Hadoop_NameNode_RPC_Latency:Degraded',
'Degraded: Hadoop: namenode_rpc_latency# SERVICE MSG',
'HARD', '1', 'WARNING', 'HDFS::Namenode RPC Latency', 'SERVICE MSG')
test('Hadoop_NameNode_RPC_Latency:OK',
'OK: Hadoop: namenode_rpc_latency_ok# SERVICE MSG',
'HARD', '1', 'OK', 'HDFS::Namenode RPC Latency', 'SERVICE MSG')
# Hadoop_DataNodes_Storage_Full
test('Hadoop_DataNodes_Storage_Full',
'Critical: Hadoop: datanodes_storage_full# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'DATANODE::Storage full', 'SERVICE MSG')
test('Hadoop_DataNodes_Storage_Full:OK',
'OK: Hadoop: datanodes_storage_full_ok# SERVICE MSG',
'HARD', '1', 'OK', 'DATANODE::Storage full', 'SERVICE MSG')
# Hadoop_JobTracker_Process_Down
test('Hadoop_JobTracker_Process_Down',
'Critical: Hadoop: jobtracker_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'JOBTRACKER::Jobtracker Process down', 'SERVICE MSG')
test('Hadoop_JobTracker_Process_Down:OK',
'OK: Hadoop: jobtracker_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'JOBTRACKER::Jobtracker Process down', 'SERVICE MSG')
# Hadoop_JobTracker_RPC_Latency
test('Hadoop_JobTracker_RPC_Latency',
'Critical: Hadoop: jobtracker_rpc_latency# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'MAPREDUCE::JobTracker RPC Latency', 'SERVICE MSG')
test('Hadoop_JobTracker_RPC_Latency:Degraded',
'Degraded: Hadoop: jobtracker_rpc_latency# SERVICE MSG',
'HARD', '1', 'WARNING', 'MAPREDUCE::JobTracker RPC Latency', 'SERVICE MSG')
test('Hadoop_JobTracker_RPC_Latency:OK',
'OK: Hadoop: jobtracker_rpc_latency_ok# SERVICE MSG',
'HARD', '1', 'OK', 'MAPREDUCE::JobTracker RPC Latency', 'SERVICE MSG')
# Hadoop_JobTracker_CPU_Utilization
test('Hadoop_JobTracker_CPU_Utilization',
'Critical: Hadoop: jobtracker_cpu_utilization# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'JOBTRACKER::Jobtracker CPU utilization', 'SERVICE MSG')
test('Hadoop_JobTracker_CPU_Utilization:Degraded',
'Degraded: Hadoop: jobtracker_cpu_utilization# SERVICE MSG',
'HARD', '1', 'WARNING', 'JOBTRACKER::Jobtracker CPU utilization', 'SERVICE MSG')
test('Hadoop_JobTracker_CPU_Utilization:OK',
'OK: Hadoop: jobtracker_cpu_utilization_ok# SERVICE MSG',
'HARD', '1', 'OK', 'JOBTRACKER::Jobtracker CPU utilization', 'SERVICE MSG')
# Hadoop_TaskTracker_Down
test('Hadoop_TaskTracker_Down',
'Critical: Hadoop: tasktrackers_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'MAPREDUCE::Percent TaskTrackers down', 'SERVICE MSG')
test('Hadoop_TaskTracker_Down:OK',
'OK: Hadoop: tasktrackers_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'MAPREDUCE::Percent TaskTrackers down', 'SERVICE MSG')
# Hadoop_TaskTracker_Process_Down
test('Hadoop_TaskTracker_Process_Down',
'Critical: Hadoop: tasktracker_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'TASKTRACKER::Process down', 'SERVICE MSG')
test('Hadoop_TaskTracker_Process_Down:OK',
'OK: Hadoop: tasktracker_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'TASKTRACKER::Process down', 'SERVICE MSG')
# Hadoop_HBaseMaster_Process_Down
test('Hadoop_HBaseMaster_Process_Down',
'Critical: Hadoop: hbasemaster_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'HBASEMASTER::HBaseMaster Process down', 'SERVICE MSG')
test('Hadoop_HBaseMaster_Process_Down:OK',
'OK: Hadoop: hbasemaster_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'HBASEMASTER::HBaseMaster Process down', 'SERVICE MSG')
# Hadoop_RegionServer_Process_Down
test('Hadoop_RegionServer_Process_Down',
'Critical: Hadoop: regionserver_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'REGIONSERVER::Process down', 'SERVICE MSG')
test('Hadoop_RegionServer_Process_Down:OK',
'OK: Hadoop: regionserver_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'REGIONSERVER::Process down', 'SERVICE MSG')
# Hadoop_RegionServer_Down
test('Hadoop_RegionServer_Down',
'Critical: Hadoop: regionservers_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'HBASE::Percent region servers down', 'SERVICE MSG')
test('Hadoop_RegionServer_Down:OK',
'OK: Hadoop: regionservers_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'HBASE::Percent region servers down', 'SERVICE MSG')
# Hadoop_Hive_Metastore_Process_Down
test('Hadoop_Hive_Metastore_Process_Down',
'Critical: Hadoop: hive_metastore_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'HIVE-METASTORE::HIVE-METASTORE status check', 'SERVICE MSG')
test('Hadoop_Hive_Metastore_Process_Down:OK',
'OK: Hadoop: hive_metastore_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'HIVE-METASTORE::HIVE-METASTORE status check', 'SERVICE MSG')
# Hadoop_Zookeeper_Down
test('Hadoop_Zookeeper_Down',
'Critical: Hadoop: zookeepers_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'ZOOKEEPER::Percent zookeeper servers down', 'SERVICE MSG')
test('Hadoop_Zookeeper_Down:OK',
'OK: Hadoop: zookeepers_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'ZOOKEEPER::Percent zookeeper servers down', 'SERVICE MSG')
# Hadoop_Zookeeper_Process_Down
test('Hadoop_Zookeeper_Process_Down',
'Critical: Hadoop: zookeeper_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'ZKSERVERS::ZKSERVERS Process down', 'SERVICE MSG')
test('Hadoop_Zookeeper_Process_Down:OK',
'OK: Hadoop: zookeeper_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'ZKSERVERS::ZKSERVERS Process down', 'SERVICE MSG')
# Hadoop_Oozie_Down
test('Hadoop_Oozie_Down',
'Critical: Hadoop: oozie_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'OOZIE::Oozie status check', 'SERVICE MSG')
test('Hadoop_Oozie_Down:OK',
'OK: Hadoop: oozie_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'OOZIE::Oozie status check', 'SERVICE MSG')
# Hadoop_Templeton_Down
test('Hadoop_Templeton_Down',
'Critical: Hadoop: templeton_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'TEMPLETON::Templeton status check', 'SERVICE MSG')
test('Hadoop_Templeton_Down:OK',
'OK: Hadoop: templeton_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'TEMPLETON::Templeton status check', 'SERVICE MSG')
# Hadoop_Puppet_Down
test('Hadoop_Puppet_Down',
'Critical: Hadoop: puppet_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'PUPPET::Puppet agent down', 'SERVICE MSG')
test('Hadoop_Puppet_Down:OK',
'OK: Hadoop: puppet_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'PUPPET::Puppet agent down', 'SERVICE MSG')
# Hadoop_Nagios_Status_Log_Stale
test('Hadoop_Nagios_Status_Log_Stale',
'Critical: Hadoop: nagios_status_log_stale# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'NAGIOS::Nagios status log staleness', 'SERVICE MSG')
test('Hadoop_Nagios_Status_Log_Stale:OK',
'OK: Hadoop: nagios_status_log_stale_ok# SERVICE MSG',
'HARD', '1', 'OK', 'NAGIOS::Nagios status log staleness', 'SERVICE MSG')
# Hadoop_Ganglia_Process_Down
test('Hadoop_Ganglia_Process_Down',
'Critical: Hadoop: ganglia_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'GANGLIA::Ganglia [gmetad] Process down', 'SERVICE MSG')
test('Hadoop_Ganglia_Process_Down:OK',
'OK: Hadoop: ganglia_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'GANGLIA::Ganglia [gmetad] Process down', 'SERVICE MSG')
# Hadoop_Ganglia_Collector_Process_Down
test('Hadoop_Ganglia_Collector_Process_Down',
'Critical: Hadoop: ganglia_collector_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'GANGLIA::Ganglia collector [gmond] Process down alert for hbasemaster', 'SERVICE MSG')
test('Hadoop_Ganglia_Collector_Process_Down:OK',
'OK: Hadoop: ganglia_collector_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'GANGLIA::Ganglia collector [gmond] Process down alert for hbasemaster', 'SERVICE MSG')
# Hadoop_Ganglia_Collector_Process_Down
test('Hadoop_Ganglia_Collector_Process_Down',
'Critical: Hadoop: ganglia_collector_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'GANGLIA::Ganglia collector [gmond] Process down alert for jobtracker', 'SERVICE MSG')
test('Hadoop_Ganglia_Collector_Process_Down:OK',
'OK: Hadoop: ganglia_collector_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'GANGLIA::Ganglia collector [gmond] Process down alert for jobtracker', 'SERVICE MSG')
# Hadoop_Ganglia_Collector_Process_Down
test('Hadoop_Ganglia_Collector_Process_Down',
'Critical: Hadoop: ganglia_collector_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'GANGLIA::Ganglia collector [gmond] Process down alert for namenode', 'SERVICE MSG')
test('Hadoop_Ganglia_Collector_Process_Down:OK',
'OK: Hadoop: ganglia_collector_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'GANGLIA::Ganglia collector [gmond] Process down alert for namenode', 'SERVICE MSG')
# Hadoop_Ganglia_Collector_Process_Down
test('Hadoop_Ganglia_Collector_Process_Down',
'Critical: Hadoop: ganglia_collector_process_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'GANGLIA::Ganglia collector [gmond] Process down alert for slaves', 'SERVICE MSG')
test('Hadoop_Ganglia_Collector_Process_Down:OK',
'OK: Hadoop: ganglia_collector_process_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'GANGLIA::Ganglia collector [gmond] Process down alert for slaves', 'SERVICE MSG')
# Hadoop_UNKNOWN_MSG
test('Hadoop_UNKNOWN_MSG',
'Critical: Hadoop: HADOOP_UNKNOWN_MSG# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'ANY UNKNOWN SERVICE', 'SERVICE MSG')
# HBase UI Down
test('Hadoop_HBase_UI_Down',
'Critical: Hadoop: hbase_ui_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'HBASEMASTER::HBase Web UI down', 'SERVICE MSG')
test('Hadoop_HBase_UI_Down:OK',
'OK: Hadoop: hbase_ui_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'HBASEMASTER::HBase Web UI down', 'SERVICE MSG')
# Namenode UI Down
test('Hadoop_NameNode_UI_Down',
'Critical: Hadoop: namenode_ui_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'NAMENODE::Namenode Web UI down', 'SERVICE MSG')
test('Hadoop_NameNode_UI_Down:OK',
'OK: Hadoop: namenode_ui_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'NAMENODE::Namenode Web UI down', 'SERVICE MSG')
# JobHistory UI Down
test('Hadoop_JobHistory_UI_Down',
'Critical: Hadoop: jobhistory_ui_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'JOBTRACKER::JobHistory Web UI down', 'SERVICE MSG')
test('Hadoop_JobHistory_UI_Down:OK',
'OK: Hadoop: jobhistory_ui_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'JOBTRACKER::JobHistory Web UI down', 'SERVICE MSG')
# JobTracker UI Down
test('Hadoop_JobTracker_UI_Down',
'Critical: Hadoop: jobtracker_ui_down# SERVICE MSG',
'HARD', '1', 'CRITICAL', 'JOBTRACKER::JobTracker Web UI down', 'SERVICE MSG')
test('Hadoop_JobTracker_UI_Down:OK',
'OK: Hadoop: jobtracker_ui_down_ok# SERVICE MSG',
'HARD', '1', 'OK', 'JOBTRACKER::JobTracker Web UI down', 'SERVICE MSG')
summary()
| 45.837772 | 171 | 0.72891 | 2,485 | 18,931 | 5.307445 | 0.080885 | 0.106149 | 0.074304 | 0.079612 | 0.80461 | 0.671999 | 0.534157 | 0.432557 | 0.348169 | 0.310713 | 0 | 0.012562 | 0.133749 | 18,931 | 412 | 172 | 45.949029 | 0.791695 | 0.096244 | 0 | 0.077206 | 0 | 0.066176 | 0.748945 | 0.291569 | 0 | 0 | 0 | 0 | 0 | 0 | null | null | 0.025735 | 0.007353 | null | null | 0.025735 | 0 | 0 | 0 | null | 0 | 0 | 0 | 1 | 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 |
7f9eb20f5bc91ea77309f8140fd5d90bc4af511e | 611 | py | Python | exercise/built_in_module_test.py | progzc/PythonDemo | 0515fee3511bc132bfddf480014f61ce52080616 | [
"Apache-2.0"
] | null | null | null | exercise/built_in_module_test.py | progzc/PythonDemo | 0515fee3511bc132bfddf480014f61ce52080616 | [
"Apache-2.0"
] | null | null | null | exercise/built_in_module_test.py | progzc/PythonDemo | 0515fee3511bc132bfddf480014f61ce52080616 | [
"Apache-2.0"
] | null | null | null | # python中的常用的内置模块
import sys
import time
# 文件输入输出
# import os
# import calendar
# 网络请求相关
import urllib.request
# import json
# 正则表达式
# import re
# import math
# import decimal
# import logging
print('----------------使用sys模块---------------------')
# 获取整数24在python中占用的字节大小
print(sys.getsizeof(24))
print(sys.getsizeof(45))
print(sys.getsizeof(True))
print(sys.getsizeof(False))
print('----------------使用sys模块---------------------')
# 输出单位为秒
print(time.time())
print(time.localtime(time.time()))
print('----------------使用os模块---------------------')
print(urllib.request.urlopen('http://www.baidu.com').read())
| 19.709677 | 60 | 0.608838 | 66 | 611 | 5.636364 | 0.5 | 0.086022 | 0.182796 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.010753 | 0.086743 | 611 | 30 | 61 | 20.366667 | 0.655914 | 0.252046 | 0 | 0.153846 | 0 | 0 | 0.340858 | 0.295711 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.230769 | 0 | 0.230769 | 0.769231 | 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 | 0 | 0 | 0 | 1 | 0 | 3 |
7fb68fdf49ccda83376f335f667e9c17e2e632ef | 706 | py | Python | pytglib/api/types/message_scheduling_state_send_when_online.py | iTeam-co/pytglib | e5e75e0a85f89b77762209b32a61b0a883c0ae61 | [
"MIT"
] | 6 | 2019-10-30T08:57:27.000Z | 2021-02-08T14:17:43.000Z | pytglib/api/types/message_scheduling_state_send_when_online.py | iTeam-co/python-telegram | e5e75e0a85f89b77762209b32a61b0a883c0ae61 | [
"MIT"
] | 1 | 2021-08-19T05:44:10.000Z | 2021-08-19T07:14:56.000Z | pytglib/api/types/message_scheduling_state_send_when_online.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 MessageSchedulingStateSendWhenOnline(Object):
"""
The message will be sent when the peer will be online. Applicable to private chats only and when the exact online status of the peer is known
Attributes:
ID (:obj:`str`): ``MessageSchedulingStateSendWhenOnline``
No parameters required.
Returns:
MessageSchedulingState
Raises:
:class:`telegram.Error`
"""
ID = "messageSchedulingStateSendWhenOnline"
def __init__(self, **kwargs):
pass
@staticmethod
def read(q: dict, *args) -> "MessageSchedulingStateSendWhenOnline":
return MessageSchedulingStateSendWhenOnline()
| 22.774194 | 145 | 0.677054 | 64 | 706 | 7.40625 | 0.75 | 0.025316 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.246459 | 706 | 30 | 146 | 23.533333 | 0.890977 | 0.446176 | 0 | 0 | 0 | 0 | 0.208696 | 0.208696 | 0 | 0 | 0 | 0 | 0 | 1 | 0.25 | false | 0.125 | 0.125 | 0.125 | 0.75 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 |
7fb804f29021e56f60c86fed818a89e1258a5e19 | 133 | py | Python | binalyzer_blsp/__init__.py | denisvasilik/binalyzer-blsp | 8a329c62b3432c9ecc8c073febdd3975892defac | [
"MIT"
] | null | null | null | binalyzer_blsp/__init__.py | denisvasilik/binalyzer-blsp | 8a329c62b3432c9ecc8c073febdd3975892defac | [
"MIT"
] | null | null | null | binalyzer_blsp/__init__.py | denisvasilik/binalyzer-blsp | 8a329c62b3432c9ecc8c073febdd3975892defac | [
"MIT"
] | null | null | null | """
binalyzer_blsp
~~~~~~~~~~~~~~
Binalyzer BLSP extension.
"""
from .blsp import (
BLSPServer,
JsonRPCParser,
) | 13.3 | 29 | 0.548872 | 10 | 133 | 7.2 | 0.7 | 0.361111 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.255639 | 133 | 10 | 30 | 13.3 | 0.727273 | 0.421053 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | true | 0 | 0.25 | 0 | 0.25 | 0 | 1 | 0 | 0 | null | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | null | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 |
f69d1e0ccae8597a11c7f1d728ba18d1950c03ad | 93 | py | Python | SISTGEDIT/registropersonal/tipoturno/apps.py | Edwineverth/SISGEDIT | 7d433d5e045b71ac087e40d95ec7d26f159e6453 | [
"Apache-2.0"
] | null | null | null | SISTGEDIT/registropersonal/tipoturno/apps.py | Edwineverth/SISGEDIT | 7d433d5e045b71ac087e40d95ec7d26f159e6453 | [
"Apache-2.0"
] | null | null | null | SISTGEDIT/registropersonal/tipoturno/apps.py | Edwineverth/SISGEDIT | 7d433d5e045b71ac087e40d95ec7d26f159e6453 | [
"Apache-2.0"
] | null | null | null | from django.apps import AppConfig
class TipoturnoConfig(AppConfig):
name = 'tipoturno'
| 15.5 | 33 | 0.763441 | 10 | 93 | 7.1 | 0.9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.16129 | 93 | 5 | 34 | 18.6 | 0.910256 | 0 | 0 | 0 | 0 | 0 | 0.096774 | 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 |
f69e8ae8265b7e97a387c1704c752b8f2f57e82a | 159 | py | Python | space_missions/apps.py | eferos93/ODMC_exam_implementation | 14fd113b00dc45d2b99b2a83c662d6a70171b5e5 | [
"CC-BY-4.0"
] | null | null | null | space_missions/apps.py | eferos93/ODMC_exam_implementation | 14fd113b00dc45d2b99b2a83c662d6a70171b5e5 | [
"CC-BY-4.0"
] | null | null | null | space_missions/apps.py | eferos93/ODMC_exam_implementation | 14fd113b00dc45d2b99b2a83c662d6a70171b5e5 | [
"CC-BY-4.0"
] | null | null | null | from django.apps import AppConfig
class SpaceMissionsConfig(AppConfig):
default_auto_field = 'django.db.models.BigAutoField'
name = 'space_missions'
| 22.714286 | 56 | 0.779874 | 18 | 159 | 6.722222 | 0.888889 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.138365 | 159 | 6 | 57 | 26.5 | 0.883212 | 0 | 0 | 0 | 0 | 0 | 0.27044 | 0.18239 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | false | 0 | 0.25 | 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 |
Subsets and Splits
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