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# -*- coding: utf-8 -*- # 程式 9-5 (Python 3 version) from bs4 import BeautifulSoup import requests import sys if len(sys.argv) < 2: print("用法：python 9-5.py <<target url>>") exit(1) url = sys.argv[1] html = requests.get(url).text sp = BeautifulSoup(html, 'html.parser') all_links = sp.find_all('a') for link in all_links: href = link.get('href') if href != None and href.startswith('http://'): print(href)

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# -*- coding: utf-8 -*- # Generated by Django 1.9.7 on 2016-07-15 05:50 from __future__ import unicode_literals from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): dependencies = [ ("contenttypes", "0002_remove_content_type_name"), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ("xadmin", "0001_initial"), ] operations = [ migrations.CreateModel( name="Log", fields=[ ( "id", models.AutoField( auto_created=True, primary_key=True, serialize=False, verbose_name="ID", ), ), ( "action_time", models.DateTimeField( default=django.utils.timezone.now, editable=False, verbose_name="action time", ), ), ( "ip_addr", models.GenericIPAddressField( blank=True, null=True, verbose_name="action ip" ), ), ( "object_id", models.TextField(blank=True, null=True, verbose_name="object id"), ), ( "object_repr", models.CharField(max_length=200, verbose_name="object repr"), ), ( "action_flag", models.PositiveSmallIntegerField(verbose_name="action flag"), ), ( "message", models.TextField(blank=True, verbose_name="change message"), ), ( "content_type", models.ForeignKey( blank=True, null=True, on_delete=django.db.models.deletion.SET_NULL, to="contenttypes.ContentType", verbose_name="content type", ), ), ( "user", models.ForeignKey( on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL, verbose_name="user", ), ), ], options={ "ordering": ("-action_time",), "verbose_name": "log entry", "verbose_name_plural": "log entries", }, ) ]

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from copy import deepcopy from typing import Any, Awaitable, TYPE_CHECKING from azure.core.rest import AsyncHttpResponse, HttpRequest from azure.mgmt.core import AsyncARMPipelineClient from .. import models as _models from ..._serialization import Deserializer, Serializer from ._configuration import FeatureClientConfiguration from .operations import FeatureClientOperationsMixin, FeaturesOperations if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from azure.core.credentials_async import AsyncTokenCredential class FeatureClient(FeatureClientOperationsMixin): # pylint: disable=client-accepts-api-version-keyword """Azure Feature Exposure Control (AFEC) provides a mechanism for the resource providers to control feature exposure to users. Resource providers typically use this mechanism to provide public/private preview for new features prior to making them generally available. Users need to explicitly register for AFEC features to get access to such functionality. :ivar features: FeaturesOperations operations :vartype features: azure.mgmt.resource.features.v2015_12_01.aio.operations.FeaturesOperations :param credential: Credential needed for the client to connect to Azure. Required. :type credential: ~azure.core.credentials_async.AsyncTokenCredential :param subscription_id: The ID of the target subscription. Required. :type subscription_id: str :param base_url: Service URL. Default value is "https://management.azure.com". :type base_url: str :keyword api_version: Api Version. Default value is "2015-12-01". Note that overriding this default value may result in unsupported behavior. :paramtype api_version: str """ def __init__( self, credential: "AsyncTokenCredential", subscription_id: str, base_url: str = "https://management.azure.com", **kwargs: Any ) -> None: self._config = FeatureClientConfiguration(credential=credential, subscription_id=subscription_id, **kwargs) self._client = AsyncARMPipelineClient(base_url=base_url, config=self._config, **kwargs) client_models = {k: v for k, v in _models.__dict__.items() if isinstance(v, type)} self._serialize = Serializer(client_models) self._deserialize = Deserializer(client_models) self._serialize.client_side_validation = False self.features = FeaturesOperations(self._client, self._config, self._serialize, self._deserialize) def _send_request(self, request: HttpRequest, **kwargs: Any) -> Awaitable[AsyncHttpResponse]: """Runs the network request through the client's chained policies. >>> from azure.core.rest import HttpRequest >>> request = HttpRequest("GET", "https://www.example.org/") <HttpRequest [GET], url: 'https://www.example.org/'> >>> response = await client._send_request(request) <AsyncHttpResponse: 200 OK> For more information on this code flow, see https://aka.ms/azsdk/dpcodegen/python/send_request :param request: The network request you want to make. Required. :type request: ~azure.core.rest.HttpRequest :keyword bool stream: Whether the response payload will be streamed. Defaults to False. :return: The response of your network call. Does not do error handling on your response. :rtype: ~azure.core.rest.AsyncHttpResponse """ request_copy = deepcopy(request) request_copy.url = self._client.format_url(request_copy.url) return self._client.send_request(request_copy, **kwargs) async def close(self) -> None: await self._client.close() async def __aenter__(self) -> "FeatureClient": await self._client.__aenter__() return self async def __aexit__(self, *exc_details) -> None: await self._client.__aexit__(*exc_details)

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""" Copyright (c) 2019 Intel Corporation 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 copy import deepcopy import torch from nncf.helpers import load_state from nncf.algo_selector import create_compression_algorithm from nncf.dynamic_graph import reset_context from nncf.operations import UpdateWeight from nncf.sparsity.const.algo import ConstSparsity from nncf.sparsity.layers import BinaryMask from nncf.utils import get_all_modules_by_type from tests.quantization.test_functions import check_equal from tests.sparsity.magnitude.test_helpers import MagnitudeTestModel from tests.test_helpers import BasicConvTestModel, get_empty_config sub_tensor = torch.tensor([[[[1., 0.], [0., 1.]]]]) ref_mask_1 = torch.cat((sub_tensor, sub_tensor), 0) sub_tensor = torch.tensor([[[[0., 1., 1.], [1., 0., 1.], [1., 1., 0.]]]]) ref_mask_2 = torch.cat((sub_tensor, sub_tensor), 1) def test_can_create_const_sparse_algo__with_default(): model = BasicConvTestModel() config = get_empty_config() config["compression"] = {"algorithm": "const_sparsity"} compression_algo = create_compression_algorithm(deepcopy(model), config) assert isinstance(compression_algo, ConstSparsity) sparse_model = compression_algo.model assert len(list(sparse_model.modules())) == 6 model_conv = get_all_modules_by_type(model, 'Conv2d') sparse_model_conv = get_all_modules_by_type(sparse_model, 'NNCFConv2d') assert len(model_conv) == len(sparse_model_conv) for module_name in model_conv: scope = module_name.split('/') scope[-1] = scope[-1].replace('Conv2d', 'NNCFConv2d') sparse_module_name = '/'.join(scope) assert sparse_module_name in sparse_model_conv store = [] sparse_module = sparse_model_conv[sparse_module_name] for op in sparse_module.pre_ops.values(): if isinstance(op, UpdateWeight) and isinstance(op.operand, BinaryMask): ref_mask = torch.ones_like(sparse_module.weight) assert torch.allclose(op.operand.binary_mask, ref_mask) assert op.__class__.__name__ not in store store.append(op.__class__.__name__) def test_can_restore_binary_mask_on_magnitude_algo_resume(): config = get_empty_config() config['compression'] = {"algorithm": "magnitude_sparsity", "weight_importance": "abs", "params": {"schedule": "multistep", "sparsity_levels": [0.3, 0.5]}} magnitude_algo = create_compression_algorithm(MagnitudeTestModel(), config) sparse_model = magnitude_algo.model with torch.no_grad(): sparse_model(torch.ones([1, 1, 10, 10])) config = get_empty_config() config["compression"] = {"algorithm": "const_sparsity"} const_algo = create_compression_algorithm(MagnitudeTestModel(), config) const_sparse_model = const_algo.model load_state(const_sparse_model, sparse_model.state_dict()) op = const_sparse_model.conv1.pre_ops['0'] check_equal(ref_mask_1, op.operand.binary_mask) op = const_sparse_model.conv2.pre_ops['0'] check_equal(ref_mask_2, op.operand.binary_mask) def test_can_restore_binary_mask_on_magnitude_quant_algo_resume(): config = get_empty_config() config["compression"] = [ {"algorithm": "magnitude_sparsity", "weight_importance": "abs", "params": {"schedule": "multistep", "sparsity_levels": [0.3, 0.5]}}, {"algorithm": "quantization"}] reset_context('orig') reset_context('quantized_graphs') magnitude_quant_algo = create_compression_algorithm(MagnitudeTestModel(), config) # load_state doesn't support CPU + Quantization sparse_model = torch.nn.DataParallel(magnitude_quant_algo.model) sparse_model.cuda() with torch.no_grad(): sparse_model(torch.ones([1, 1, 10, 10])) reset_context('orig') reset_context('quantized_graphs') config = get_empty_config() config["compression"] = [{"algorithm": "const_sparsity"}, {"algorithm": "quantization"}] const_algo = create_compression_algorithm(MagnitudeTestModel(), config) const_sparse_model = const_algo.model load_state(const_sparse_model, sparse_model.state_dict()) op = const_sparse_model.module.conv1.pre_ops['0'] check_equal(ref_mask_1, op.operand.binary_mask) op = const_sparse_model.module.conv2.pre_ops['0'] check_equal(ref_mask_2, op.operand.binary_mask)

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# -*- coding: utf-8 -*- # # Configuration file for the Sphinx documentation builder. # # This file does only contain a selection of the most common options. For a # full list see the documentation: # http://www.sphinx-doc.org/en/master/config # -- Path setup -------------------------------------------------------------- # If extensions (or modules to document with autodoc) are in another directory, # add these directories to sys.path here. If the directory is relative to the # documentation root, use os.path.abspath to make it absolute, like shown here. # import os import sys sys.path.insert(0, os.path.abspath(os.pardir)) import graphviz # -- Project information ----------------------------------------------------- project = 'graphviz' copyright = '2013-2021, Sebastian Bank' author = 'Sebastian Bank' # The short X.Y version version = '0.17.dev0' # The full version, including alpha/beta/rc tags release = version # -- General configuration --------------------------------------------------- # If your documentation needs a minimal Sphinx version, state it here. # # needs_sphinx = '1.0' # Add any Sphinx extension module names here, as strings. They can be # extensions coming with Sphinx (named 'sphinx.ext.*') or your custom # ones. extensions = [ 'sphinx.ext.autodoc', 'sphinx.ext.autosummary', 'sphinx.ext.intersphinx', 'sphinx.ext.napoleon', 'sphinx_autodoc_typehints', # https://github.com/agronholm/sphinx-autodoc-typehints/issues/15 'sphinx.ext.viewcode', ] # Add any paths that contain templates here, relative to this directory. templates_path = ['_templates'] # The suffix(es) of source filenames. # You can specify multiple suffix as a list of string: # # source_suffix = ['.rst', '.md'] source_suffix = '.rst' # The master toctree document. master_doc = 'index' # The language for content autogenerated by Sphinx. Refer to documentation # for a list of supported languages. # # This is also used if you do content translation via gettext catalogs. # Usually you set "language" from the command line for these cases. language = None # List of patterns, relative to source directory, that match files and # directories to ignore when looking for source files. # This pattern also affects html_static_path and html_extra_path . exclude_patterns = ['_build', 'Thumbs.db', '.DS_Store'] # The name of the Pygments (syntax highlighting) style to use. pygments_style = 'sphinx' # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # on_rtd = os.environ.get('READTHEDOCS', None) == 'True' if not on_rtd: import sphinx_rtd_theme html_theme = 'sphinx_rtd_theme' html_theme_path = [sphinx_rtd_theme.get_html_theme_path()] # Theme options are theme-specific and customize the look and feel of a theme # further. For a list of options available for each theme, see the # documentation. # # html_theme_options = {} # Add any paths that contain custom static files (such as style sheets) here, # relative to this directory. They are copied after the builtin static files, # so a file named "default.css" will overwrite the builtin "default.css". html_static_path = ['_static'] # Custom sidebar templates, must be a dictionary that maps document names # to template names. # # The default sidebars (for documents that don't match any pattern) are # defined by theme itself. Builtin themes are using these templates by # default: ``['localtoc.html', 'relations.html', 'sourcelink.html', # 'searchbox.html']``. # # html_sidebars = {} # -- Options for HTMLHelp output --------------------------------------------- # Output file base name for HTML help builder. htmlhelp_basename = 'graphvizdoc' # -- Options for LaTeX output ------------------------------------------------ latex_elements = { # The paper size ('letterpaper' or 'a4paper'). # # 'papersize': 'letterpaper', # The font size ('10pt', '11pt' or '12pt'). # # 'pointsize': '10pt', # Additional stuff for the LaTeX preamble. # # 'preamble': '', # Latex figure (float) alignment # # 'figure_align': 'htbp', } # Grouping the document tree into LaTeX files. List of tuples # (source start file, target name, title, # author, documentclass [howto, manual, or own class]). latex_documents = [ (master_doc, 'graphviz.tex', 'graphviz Documentation', 'Sebastian Bank', 'manual'), ] # -- Options for manual page output ------------------------------------------ # One entry per manual page. List of tuples # (source start file, name, description, authors, manual section). man_pages = [ (master_doc, 'graphviz', 'graphviz Documentation', [author], 1) ] # -- Options for Texinfo output ---------------------------------------------- # Grouping the document tree into Texinfo files. List of tuples # (source start file, target name, title, author, # dir menu entry, description, category) texinfo_documents = [ (master_doc, 'graphviz', 'graphviz Documentation', author, 'graphviz', 'One line description of project.', 'Miscellaneous'), ] # -- Extension configuration ------------------------------------------------- # -- Options for intersphinx extension --------------------------------------- # Example configuration for intersphinx: refer to the Python standard library. intersphinx_mapping = { 'py': ('https://docs.python.org/2', None), 'py3': ('https://docs.python.org/3', None), } # monkey patch, see https://github.com/sphinx-doc/sphinx/issues/2044 from sphinx.ext.autodoc import ClassLevelDocumenter, InstanceAttributeDocumenter def add_directive_header(self, sig): ClassLevelDocumenter.add_directive_header(self, sig) InstanceAttributeDocumenter.add_directive_header = add_directive_header

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# -*- coding=utf-8 -*- from __future__ import absolute_import, division, unicode_literals from themyutils.celery.beat import Cron from themyutils.flask.celery import make_celery from last_fm.app import app from last_fm.db import db __all__ = [b"celery", b"cron"] celery = make_celery(app, db) cron = Cron(celery)

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''' @Author:Yohannes Assebe(John Assebe github) ''' import pandas as pd import random as ra from matplotlib import pyplot as plt plt.style.use('ggplot') df=pd.read_csv('../percent_bachelors_degrees_women_usa.csv') year=df['Year'] fields=[] cols=df.columns.values colors=['black','#521222','#155888','yellow','red','green','purple','blue'] for i in range(len(cols)-1): fields.append(list(df[str(cols[i+1])])) for i in range(len(cols)-1): if i>=9: plt.plot(year,fields[i],color=colors[16-i],label=cols[i+1],linewidth=2) # To avoid color repeat else: plt.plot(year,fields[i],label=cols[i+1],linewidth=2) plt.title("Women bachelor degree percents in USA") plt.xlabel("Year") plt.ylabel("Bachelor degree percent") plt.legend() plt.tight_layout() #plt.savefig('americanwomenliteracy.png') plt.show()

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# -*- encoding: utf-8 -*- ############################################################################## # # Account Invoice Margin module for Odoo # Copyright (C) 2015 Akretion (http://www.akretion.com) # @author Alexis de Lattre <alexis.delattre@akretion.com> # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by the Free Software Foundation, either version 3 of the # License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. # ############################################################################## { 'name': 'Account Invoice Margin', 'version': '0.1', 'category': 'Accounting & Finance', 'license': 'AGPL-3', 'summary': 'Copy standard price on invoice line and compute margins', 'description': """ This module copies the field *standard_price* of the product on the invoice line when the invoice line is created. The allows the computation of the margin of the invoice. This module has been written by Alexis de Lattre from Akretion <alexis.delattre@akretion.com>. """, 'author': 'Akretion', 'website': 'http://www.akretion.com', 'depends': ['account'], 'data': [ 'account_invoice_view.xml', ], 'installable': False, }

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from ev3dev.auto import * from time import sleep #Configure motors LEFT_MOTOR = LargeMotor(OUTPUT_A) RIGHT_MOTOR = LargeMotor(OUTPUT_B) #Turn motors on LEFT_MOTOR.run_forever(duty_cycle_sp=75) RIGHT_MOTOR.run_forever(duty_cycle_sp=75) #Drive for two seconds sleep(2) #Note: experiment with stop() commands via eg: stop | hold | coast #LEFT_MOTOR.stop_command = 'brake' #RIGHT_MOTOR.stop_command = 'brake' #Turn motors off LEFT_MOTOR.stop() RIGHT_MOTOR.stop()

[ "tony.hirst@gmail.com" ]

tony.hirst@gmail.com

7926fb11f584701d5dd9444ea87f3b895be01672

a0879bb909d645d5e64a019234671e2c55cf88fd

/TEST/20201115 마이다스아잍/3-2.py

7f029928907bce5e15a0a911fa99d418565d8d23

[]

no_license

minseunghwang/algorithm

a6b94c2cbe0ac6a106e7aa8789321fae8a3d6964

e7d0125d5f8d65c94f3ce9140f840b33d28cc9da

refs/heads/master

2021-07-18T18:11:17.371674

2020-12-30T08:04:54

227,807,992

0

null

UTF-8

Python

false

811

py

cookies = [1, 4, 2, 6, 5, 3] k = 2 combinations = [] queue = [] # 첫 데이터 생성 tmp = cookies[:] # deep copy while tmp: n = tmp.pop(0) queue.append([[n], tmp[:]]) # DFS while queue: print(queue) n = queue.pop() # [1/3] 꺼내 if n[1] == []: # [2/3] 목표냐? combinations.append(n[0]) continue # [3/3] 확장 e = n[1].pop(0) # 이번 쿠키 (남은 쿠키 중에 첫번째꺼) if e > n[0][-1]: # 내가 마지막에 먹은거보다 이번 쿠키가 크냐? queue.append([n[0][:] + [e], n[1][:]]) # 크면 먹기 queue.append([n[0][:], n[1][:]]) # 이번 쿠키는 안먹어 maxlen = max(len(x) for x in combinations) maxcookies = sorted(list(x for x in combinations if len(x) == maxlen)) print(maxcookies) print(maxcookies[k - 1])

[ "mins1011@hanmail.net" ]

mins1011@hanmail.net

f94aec95d3e660b28d7a0d10cf1f8d58fa644f2d

900a7285b2fc4d203717e09c88e8afe5bba9144f

/axonius_api_client/tests/tests_api/tests_system/test_users.py

c9ae601cf277f01332aad50b455a8b76509f9384

[ "MIT" ]

permissive

geransmith/axonius_api_client

5694eb60964141b3473d57e9a97929d4bff28110

09fd564d62f0ddf7aa44db14a509eaafaf0c930f

refs/heads/master

2022-11-23T01:43:52.205716

2020-06-12T14:15:38

280,499,094

0

MIT

2020-07-17T18:35:48

2020-07-17T18:35:47

null

UTF-8

Python

false

2,914

py

# -*- coding: utf-8 -*- """Test suite.""" import pytest from axonius_api_client.exceptions import ApiError, NotFoundError from ...meta import TEST_USER @pytest.mark.skip("Waiting for update to 3.3!") # XXX update public API for roles/users class TestSystemUsers: """Pass.""" @pytest.fixture(scope="class") def apiobj(self, api_system): """Pass.""" return api_system.users def test__get(self, apiobj): """Pass.""" data = apiobj._get() assert isinstance(data, list) for x in data: assert isinstance(x, dict) def test__get_limit(self, apiobj): """Pass.""" data = apiobj._get(limit=1) assert isinstance(data, list) for x in data: assert isinstance(x, dict) assert len(data) == 1 def test__get_limit_skip(self, apiobj): """Pass.""" all_data = apiobj._get() data = apiobj._get(limit=1, skip=1) assert isinstance(data, list) for x in data: assert isinstance(x, dict) if len(all_data) == 1: assert len(data) == 0 else: assert len(data) == 1 def test_add_get_update_delete(self, apiobj): """Pass.""" try: apiobj.get(name=TEST_USER) except NotFoundError: pass else: apiobj.delete(name=TEST_USER) added = apiobj.add(name=TEST_USER, password=TEST_USER) assert isinstance(added, dict) assert added["user_name"] == TEST_USER assert not added["first_name"] assert not added["last_name"] assert added["password"] == ["unchanged"] with pytest.raises(ApiError): apiobj.add(name=TEST_USER, password=TEST_USER) updated = apiobj.update( name=TEST_USER, firstname=TEST_USER, lastname=TEST_USER, password=TEST_USER + "X", ) assert isinstance(updated, dict) assert updated["user_name"] == TEST_USER assert updated["first_name"] == TEST_USER assert updated["last_name"] == TEST_USER assert updated["password"] == ["unchanged"] roles = apiobj.parent.roles.get() rolename = roles[-1]["name"] updated_role = apiobj.update_role(name=TEST_USER, rolename=rolename) assert updated_role["role_name"] == rolename deleted = apiobj.delete(name=TEST_USER) assert isinstance(deleted, list) assert not [x for x in deleted if x["uuid"] == added["uuid"]] with pytest.raises(ApiError): apiobj.update(name=TEST_USER) with pytest.raises(NotFoundError): apiobj.get(name=TEST_USER) def test_add_bad_role(self, apiobj): """Pass.""" val = "xxx" with pytest.raises(NotFoundError): apiobj.add(name=val, password=val, rolename="flimflam")

[ "jimbosan@gmail.com" ]

jimbosan@gmail.com

e564564366bd44ba5c752ec4ee3b82ceaae09f0a

f9d564f1aa83eca45872dab7fbaa26dd48210d08

/huaweicloud-sdk-roma/huaweicloudsdkroma/v2/model/create_app_code_auto_v2_request.py

ea23fe5edb6f1eba5782ccd9696d32d010218d7b

[ "Apache-2.0" ]

permissive

huaweicloud/huaweicloud-sdk-python-v3

cde6d849ce5b1de05ac5ebfd6153f27803837d84

f69344c1dadb79067746ddf9bfde4bddc18d5ecf

refs/heads/master

2023-09-01T19:29:43.013318

2023-08-31T08:28:59

262,207,814

103

44

NOASSERTION

2023-06-22T14:50:48

2020-05-08T02:28:43

Python

UTF-8

Python

false

3,846

py

# coding: utf-8 import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class CreateAppCodeAutoV2Request: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { 'instance_id': 'str', 'app_id': 'str' } attribute_map = { 'instance_id': 'instance_id', 'app_id': 'app_id' } def __init__(self, instance_id=None, app_id=None): """CreateAppCodeAutoV2Request The model defined in huaweicloud sdk :param instance_id: 实例ID :type instance_id: str :param app_id: 应用编号 :type app_id: str """ self._instance_id = None self._app_id = None self.discriminator = None self.instance_id = instance_id self.app_id = app_id @property def instance_id(self): """Gets the instance_id of this CreateAppCodeAutoV2Request. 实例ID :return: The instance_id of this CreateAppCodeAutoV2Request. :rtype: str """ return self._instance_id @instance_id.setter def instance_id(self, instance_id): """Sets the instance_id of this CreateAppCodeAutoV2Request. 实例ID :param instance_id: The instance_id of this CreateAppCodeAutoV2Request. :type instance_id: str """ self._instance_id = instance_id @property def app_id(self): """Gets the app_id of this CreateAppCodeAutoV2Request. 应用编号 :return: The app_id of this CreateAppCodeAutoV2Request. :rtype: str """ return self._app_id @app_id.setter def app_id(self, app_id): """Sets the app_id of this CreateAppCodeAutoV2Request. 应用编号 :param app_id: The app_id of this CreateAppCodeAutoV2Request. :type app_id: str """ self._app_id = app_id def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: if attr in self.sensitive_list: result[attr] = "****" else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" import simplejson as json if six.PY2: import sys reload(sys) sys.setdefaultencoding("utf-8") return json.dumps(sanitize_for_serialization(self), ensure_ascii=False) def __repr__(self): """For `print`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, CreateAppCodeAutoV2Request): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "hwcloudsdk@huawei.com" ]

hwcloudsdk@huawei.com

baf846c29d7abd610de1db8208469e9648543bcf

943cf86aca0eb23bd61a8705c05a9853d0a71c3d

/test_document_from_pubmed.py

15a285c0fe71666befe5ec12d05ab0e3c0909f67

[ "BSD-3-Clause" ]

permissive

rmatam/vivotools

91f60b19c5d797d39ffb6c20eeb0f1e8048fdd57

b60b36c5ac6c672a5af8b2a7d1a646bebd026026

refs/heads/master

2021-01-20T08:19:01.113299

2015-12-20T22:21:01

null

0

null

UTF-8

Python

false

876

py

""" test_document_from_pubmed.py -- use Entrez to retrive a document entry from Pubmed, and format it as a reusable python structure Version 0.1 MC 2013-12-28 -- Initial version. """ __author__ = "Michael Conlon" __copyright__ = "Copyright 2013, University of Florida" __license__ = "BSD 3-Clause license" __version__ = "0.1" import vivotools as vt from datetime import datetime from Bio import Entrez print datetime.now(),"Start" pmids = [ "18068940", "18089571", "19206997", "21822356", "19247798", "21493414", "12099768", "11410031", "20143936", "16934145" ] for pmid in pmids: handle = Entrez.efetch(db="pubmed", id=pmid, retmode="xml") records = Entrez.parse(handle) for record in records: print "\n",pmid,vt.document_from_pubmed(record) print datetime.now(),"Finish"

[ "mconlon@ufl.edu" ]

mconlon@ufl.edu

01249f147a2f8d1dcd5f70439aa9d68d55c997e4

bdda8da38c77194d2fceb29e31e9b564f015259d

/myapp/runScript/User.py

e3094939d9f61864940cf347bca1d74a732fd999

[]

no_license

Hanlen520/myproject

54f2b4c4a77af768ae278f44922cd42befab3b08

eb420d7686bd502b300aadd8ba28cb28f03935f5

refs/heads/master

2020-04-13T13:51:26.667841

2018-12-26T13:23:34

null

0

null

UTF-8

Python

false

2,310

py

# -*- coding: utf-8 -*- from __future__ import unicode_literals from myapp.serializers import Login1 from myapp.models import Login from rest_framework import generics, filters, viewsets, mixins from rest_framework.views import APIView import logging from rest_framework.response import Response from rest_framework import status from rest_framework_jwt.authentication import JSONWebTokenAuthentication from rest_framework.authentication import SessionAuthentication # 搜索用户名、邮箱 class SearchUser(mixins.ListModelMixin, viewsets.GenericViewSet): authentication_classes = (JSONWebTokenAuthentication, SessionAuthentication) queryset = Login.objects.filter(isdelete=False) serializer_class = Login1 filter_backends = (filters.SearchFilter,) search_fields = ('username', 'email') # 删除用户 class DeleteUser(generics.RetrieveDestroyAPIView): queryset = Login.objects.all().filter(isdelete=False) serializer_class = Login1 def perform_destroy(self, instance): Login.objects.filter(user_id=instance.user_id).update(isdelete=True) # 更新用户信息 class UpdateUser(generics.RetrieveUpdateAPIView): serializer_class = Login1 queryset = Login.objects.filter(isdelete=False) # 重置密码 class ResetPwd(generics.RetrieveUpdateAPIView): serializer_class = Login1 queryset = Login.objects.filter(isdelete=False) def update(self, request, *args, **kwargs): data = request.data # hash = hashlib.sha1() try: # hash.update(bytes(data['password'])) # password = hash.hexdigest() t = Login.objects.get(user_id=data['user_id']) t.set_password(data['password']) t.save() except Exception as e: logging.exception(e) return Response(data, status=status.HTTP_200_OK) # 批量删除用户 class DeleteUsers(APIView): queryset = Login.objects.all().filter(isdelete=False) serializer_class = Login1 def put(self, request): t = {'code': 200, 'message': '成功'} data = request.data for i in data["ids"]: try: Login.objects.filter(user_id=i).update(isdelete=True) except Exception as e: logging.exception(e) return Response(t)

[ "zhengxq@dxy.cn" ]

zhengxq@dxy.cn

128a8225ef5aa2c8a88217d582fb77e064710a23

98c6ea9c884152e8340605a706efefbea6170be5

/examples/data/Assignment_1/gjdsuv001/question3.py

bc93359eb4e9fc41676816f51ca1c166ab26a3e0

[]

no_license

MrHamdulay/csc3-capstone

479d659e1dcd28040e83ebd9e3374d0ccc0c6817

6f0fa0fa1555ceb1b0fb33f25e9694e68b6a53d2

refs/heads/master

2021-03-12T21:55:57.781339

2014-09-22T02:22:22

22,372,174

0

null

UTF-8

Python

false

957

py

def message(): first_name = input("Enter first name:\n") last_name=input("Enter last name:\n") money=eval(input("Enter sum of money in USD:\n")) country=input("Enter country name:\n") print() print("Dearest",first_name,) print("It is with a heavy heart that I inform you of the death of my father,") print("General Fayk ",last_name,", your long lost relative from Mapsfostol." ,sep="") print ("My father left the sum of ",money,"USD for us, your distant cousins.", sep="") print ("Unfortunately, we cannot access the money as it is in a bank in ", country,".",sep="") print("I desperately need your assistance to access this money.") print ("I will even pay you generously, 30% of the amount - ",money*0.3,"USD,", sep="") print ("for your help. Please get in touch with me at this email address asap.") print ("Yours sincerely") print ("Frank",last_name,) message()

[ "jarr2000@gmail.com" ]

jarr2000@gmail.com

704c36ab9cda3860edd3b1fc17cfd5f8c7febc2f

5a71ca1f5c964f803350e3c1238cb48986db565c

/coinlib/tests/utils/test_decorators.py

f309cff6a37f9cb9bc36bc92982bdf409a599424

[]

no_license

tetocode/coinliball

fd644cbc16039ecad7e43228ea4e287ead5c8e5f

41ebbac13c1fbba98aedaa766b9a505cb157f374

refs/heads/master

2022-09-28T21:58:08.130006

2020-06-04T03:00:56

269,247,318

0

2

null

UTF-8

Python

false

561

py

from coinlib.utils.decorators import dedup def test_dedup(): @dedup(lambda x: x) def gen(it): yield from it assert list(range(3)) == list(gen(range(3))) assert list(range(3)) == list(gen(list(range(3)) * 2)) @dedup(lambda x: x, cache_limit=0) def gen(it): yield from it assert list(range(3)) == list(gen(range(3))) assert list(range(3)) * 2 == list(gen(list(range(3)) * 2)) @dedup(lambda x: x, cache_limit=2) def gen(it): yield from it assert [1, 2, 3, 1] == list(gen([1, 2, 3, 2, 1]))

[ "_" ]

_

b559d304d58a2b548b321a7b94fc9bd9c30cd860

bacc65263d0308d455333add3ff918ee42498f32

/pilarfc_crowdbotics_123/settings.py

e4fbdbe907c6641a2a41bf63b3ad341bf211488d

[]

no_license

crowdbotics-users/pilarfc-crowdbotics-123

7d248119ab44ddc8e3c6fb0de866796530d98ba0

aea7b9bf645ac60fbe173f6517727675743a60be

refs/heads/master

2020-03-13T09:39:30.290774

2018-04-25T22:02:42

131,068,534

0

null

UTF-8

Python

false

3,600

py

""" Django settings for pilarfc_crowdbotics_123 project. Generated by 'django-admin startproject' using Django 1.11.5. For more information on this file, see https://docs.djangoproject.com/en/1.11/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/1.11/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/1.11/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '&4^-!j4j)+fx7f!lb7jia0b&50^xkaye341#zox&iq9s@j5%qz' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'pilarfc_crowdbotics_123.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'pilarfc_crowdbotics_123.wsgi.application' # Database # https://docs.djangoproject.com/en/1.11/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/1.11/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/1.11/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/1.11/howto/static-files/ STATIC_URL = '/static/' import environ env = environ.Env() ALLOWED_HOSTS = ['*'] MIDDLEWARE += ['whitenoise.middleware.WhiteNoiseMiddleware'] DATABASES = { 'default': env.db() } STATIC_ROOT = os.path.join(BASE_DIR, "staticfiles") STATICFILES_DIRS = [ os.path.join(BASE_DIR, 'static') ] STATICFILES_STORAGE = 'whitenoise.storage.CompressedManifestStaticFilesStorage' LOCAL_APPS = [ 'home', ] THIRD_PARTY_APPS = [ ] INSTALLED_APPS += LOCAL_APPS + THIRD_PARTY_APPS

[ "sp.gharti@gmail.com" ]

sp.gharti@gmail.com

bd689ff301eace5907505fe34ea81ed7774859e8

27b1d48534a3f35d1286498e84df8333250f51a8

/Exam-Preparation/Mid Exam/treasure_hunt.py

0a7d90b968fe4f26fca2191c7289aa538ed23735

[]

no_license

zhyordanova/Python-Fundamentals

f642f841629c99fcdd12ace79ea813d62972f36f

07c16053e5d03bd7cfb51ace8ef277c2c62cd927

refs/heads/main

2023-03-19T03:05:12.764726

2021-03-15T08:20:39

345,451,804

0

null

UTF-8

Python

false

833

py

loot = input().split("|") command = input() while not command == "Yohoho!": tokens = command.split() if tokens[0] == "Loot": items = tokens[1:] [loot.insert(0, x) for x in items if x not in loot] elif tokens[0] == "Drop": index = int(tokens[1]) if 0 <= index < len(loot): # item = loot.pop(index) loot.append(loot.pop(index)) elif tokens[0] == "Steal": count = int(tokens[1]) # if count > len(loot): # count = len(loot) stolen = loot[- count:] loot = loot[:- count] print(', '.join(stolen)) command = input() if len(loot) == 0: print("Failed treasure hunt.") else: average_gain = sum([len(x) for x in loot]) / len(loot) print(f"Average treasure gain: {average_gain:.2f} pirate credits.")

[ "zhyordanova88@gmail.com" ]

zhyordanova88@gmail.com

02f1fdb651c4922014a525edd14cf31d10ac08d1

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/320/usersdata/287/88404/submittedfiles/lecker.py

85af5097a574ebcfbb8bd3fd8a186df71506f904

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

69,566,344

0

null

UTF-8

Python

false

359

py

# -*- coding: utf-8 -*- import math a=int(input('Digite o primeiro valor: ')) b=int(input('Digite o segundo valor: ')) c=int(input('Digite o terceiro valor: ')) d=int(input('Digite o quarto valor: ')) A=0 B=0 C=0 D=0 if a>b: A=1 if b>a or b>c: B=1 if c>b or c>d: C=1 if d>c: D=1 lecker=A+B+C+D if lecker==1: print('S') else: print('N')

[ "rafael.mota@ufca.edu.br" ]

rafael.mota@ufca.edu.br

4e53ec0a5b834c3009372939a3bcc6d387cb6878

9ecf6dfe87999f0c510c1d67e2b1cf6ca5b53e52

/example/voxelize_chair.py

cd739c8722d72501d5c0aedf805d9f26d41f9adc

[ "MIT" ]

permissive

marian42/mesh_to_sdf

b43cdcb87c2845bebc7b928ccacbf0d2c0a9b50d

66036a747e82e7129f6afc74c5325d676a322114

refs/heads/master

2023-04-17T10:23:31.431009

2021-03-11T23:31:12

234,407,235

847

95

MIT

2023-04-11T16:05:04

2020-01-16T20:37:53

Python

UTF-8

Python

false

778

py

import numpy as np from mesh_to_sdf import get_surface_point_cloud, scale_to_unit_sphere import trimesh import skimage, skimage.measure import os mesh = trimesh.load('example/chair.obj') mesh = scale_to_unit_sphere(mesh) print("Scanning...") cloud = get_surface_point_cloud(mesh, surface_point_method='scan', scan_count=20, scan_resolution=400) cloud.show() os.makedirs("test", exist_ok=True) for i, scan in enumerate(cloud.scans): scan.save("test/scan_{:d}.png".format(i)) print("Voxelizing...") voxels = cloud.get_voxels(128, use_depth_buffer=True) print("Creating a mesh using Marching Cubes...") vertices, faces, normals, _ = skimage.measure.marching_cubes(voxels, level=0) mesh = trimesh.Trimesh(vertices=vertices, faces=faces, vertex_normals=normals) mesh.show()

[ "mail@marian42.de" ]

mail@marian42.de

1d06f0506e12e305f72fcf5c58609e5187a954f9

e74e55d174772975a3c16d4aa1210215fa698528

/oim_cms/utils.py

8a04ac90651f889c22066ac36e6cc785af2af1c5

[ "Apache-2.0" ]

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tawazz/oim-cms

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from __future__ import unicode_literals, absolute_import from django.http import HttpResponse from djqscsv import render_to_csv_response from restless.dj import DjangoResource class CSVDjangoResource(DjangoResource): """Extend the restless DjangoResource class to add a CSV export endpoint. """ @classmethod def as_csv(cls, request): resource = cls() if not hasattr(resource, "list_qs"): return HttpResponse( "list_qs not implemented for {}".format(cls.__name__)) resource.request = request return render_to_csv_response( resource.list_qs(), field_order=resource.VALUES_ARGS) class FieldsFormatter(object): """ A formatter object to format specified fields with cofigured formatter object. This takes a ``request`` parameter , a http request object ``formatters`` parameter: a dictionary of keys (a dotted lookup path to the desired attribute/key on the object) and values(a formatter object). for propertis without a configed formatter method, return the raw value directly. This method will replace the old value with formatted value. Example:: preparer = FieldsFormatter(request,fields={ # ``user`` is the key the client will see. # ``author.pk`` is the dotted path lookup ``FieldsPreparer`` # will traverse on the data to return a value. 'photo': format_fileField, }) """ def __init__(self, formatters): super(FieldsFormatter, self).__init__() self._formatters = formatters def format(self, request, data): """ format data with configured formatter object data can be a list or a single object """ if data: if isinstance(data, list): # list object for row in data: self.format_object(request, row) else: # a single object self.format_object(request, data) return data def format_object(self, request, data): """ format a simgle object. Uses the ``lookup_data`` method to traverse dotted paths. Replace the value with formatted value, if required. """ if not self._formatters: # No fields specified. Serialize everything. return data for lookup, formatter in self._formatters.items(): if not formatter: continue data = self.format_data(request, lookup, data, formatter) return data def format_data(self, request, lookup, data, formatter): """ Given a lookup string, attempts to descend through nested data looking for the value ,format the value and then replace the old value with formatted value. Can work with either dictionary-alikes or objects (or any combination of those). Lookups should be a string. If it is a dotted path, it will be split on ``.`` & it will traverse through to find the final value. If not, it will simply attempt to find either a key or attribute of that name & return it. Example:: >>> data = { ... 'type': 'message', ... 'greeting': { ... 'en': 'hello', ... 'fr': 'bonjour', ... 'es': 'hola', ... }, ... 'person': Person( ... name='daniel' ... ) ... } >>> lookup_data('type', data) 'message' >>> lookup_data('greeting.en', data) 'hello' >>> lookup_data('person.name', data) 'daniel' """ parts = lookup.split('.') if not parts or not parts[0]: return formatter(request, data) part = parts[0] remaining_lookup = '.'.join(parts[1:]) if hasattr(data, 'keys') and hasattr(data, '__getitem__'): # Dictionary enough for us. try: value = data[part] if remaining_lookup: # is an object self.format_data( request, remaining_lookup, value, formatter) else: # is a simple type value data[part] = formatter(request, value) except: # format failed, ignore pass else: try: value = getattr(data, part) # Assume it's an object. if remaining_lookup: # is an object self.format_data( request, remaining_lookup, value, formatter) else: # is a simple type value setattr(data, part, formatter(request, value)) except: # format failed, ignore pass return data

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.serialization import Model class CheckNameAvailabilityInput(Model): """Input of check name availability API. Variables are only populated by the server, and will be ignored when sending a request. :param name: The Search service name to validate. Search service names must only contain lowercase letters, digits or dashes, cannot use dash as the first two or last one characters, cannot contain consecutive dashes, and must be between 2 and 60 characters in length. :type name: str :ivar type: The type of the resource whose name is to be validated. This value must always be 'searchServices'. Default value: "searchServices" . :vartype type: str """ _validation = { 'name': {'required': True}, 'type': {'required': True, 'constant': True}, } _attribute_map = { 'name': {'key': 'name', 'type': 'str'}, 'type': {'key': 'type', 'type': 'str'}, } type = "searchServices" def __init__(self, name): self.name = name

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""" build_mod_picoblade.py Copyright 2019 Adam Greig Licensed under the MIT licence, see LICENSE file for details. Generate foorprints for Molex Picoblade connectors. """ from __future__ import print_function, division import os import sys import time import math import argparse from sexp import parse as sexp_parse, generate as sexp_generate from kicad_mod import fp_line, fp_text, pad, draw_square, model # Settings ==================================================================== # Courtyard clearance # Use 0.25 for IPC nominal and 0.10 for IPC least ctyd_gap = 0.25 # Courtyard grid ctyd_grid = 0.05 # Courtyard line width ctyd_width = 0.01 # Silk line width silk_width = 0.15 # Fab layer line width fab_width = 0.01 # Ref/Val font size (width x height) font_size = (1.0, 1.0) # Ref/Val font thickness font_thickness = 0.15 # Ref/Val font spacing from centre to top/bottom edge font_halfheight = 0.7 # End Settings ================================================================ def top_smd_refs(name): out = [] ctyd_h = 3.0 + 0.6 + 1.3 + 2*ctyd_gap ctyd_y = ctyd_h/2 - 1.3/2 - ctyd_gap y = ctyd_h / 2.0 + font_halfheight out.append(fp_text("reference", "REF**", (0, -y+ctyd_y), "F.Fab", font_size, font_thickness)) out.append(fp_text("value", name, (0, y+ctyd_y), "F.Fab", font_size, font_thickness)) return out def top_smd_pads(pins): x = -(pins-1)/2 * 1.25 pads = [] for pin in range(pins): pads.append(pad(pin+1, "smd", "rect", (x, 0), [0.8, 1.3], ["F.Cu", "F.Mask", "F.Paste"])) x += 1.25 return pads def top_smd_mount(pins): x = -(pins-1)/2 * 1.25 - 3.6 + 2.1/2 out = [] for xx in (x, -x): out.append(pad("", "smd", "rect", (xx, 0.6+3.0/2+1.3/2), (2.1, 3.0), ["F.Cu", "F.Mask", "F.Paste"])) return out def top_smd_silk(pins): out = [] w = silk_width lyr = "F.SilkS" box_w = (pins-1)*1.25 + 2*3.6 - 2*2.1 - silk_width box_h = 3.5 # XXX box_y = box_h/2 + 0.2 nw, ne, se, sw, _ = draw_square(box_w, box_h, (0, box_y), lyr, w) out.append(fp_line((nw[0]+0.8, nw[1]), nw, lyr, w)) out.append(fp_line(nw, sw, lyr, w)) out.append(fp_line(sw, se, lyr, w)) out.append(fp_line(se, ne, lyr, w)) out.append(fp_line((ne[0]-0.8, ne[1]), ne, lyr, w)) return out def top_smd_fab(pins): out = [] w = fab_width lyr = "F.Fab" # Outline box box_w = (pins-1)*1.25 + 2*3.6 - 2*2.1 box_h = 3.5 # XXX box_y = box_h/2 + 0.2 nw, ne, se, sw, sq = draw_square(box_w, box_h, (0, box_y), lyr, w) out += sq # Mounting pins _, _, _, _, sq = draw_square(1.8, 2.8, (nw[0]-1.8/2, sw[1]-2.8/2), lyr, w) out += sq _, _, _, _, sq = draw_square(1.8, 2.8, (ne[0]+1.8/2, sw[1]-2.8/2), lyr, w) out += sq # Connector pins x = -(pins-1)/2 * 1.25 for pin in range(pins): _, _, _, _, sq = draw_square(0.32, 0.6, (x, 2.6), lyr, w) out += sq x += 1.25 return out def top_smd_ctyd(pins): w = 1.25*(pins-1) + 2*3.6 + 2*ctyd_gap h = 3.0 + 0.6 + 1.3 + 2*ctyd_gap grid = 2 * ctyd_grid w = grid * int(math.ceil(w / (2*ctyd_grid))) h = grid * int(math.ceil(h / (2*ctyd_grid))) y = h/2 - 1.3/2 - ctyd_gap centre = (0, y) _, _, _, _, sq = draw_square(w, h, centre, "F.CrtYd", ctyd_width) return sq def top_smd_model(pins): return [ model( "${KISYS3DMOD}/Connector_Molex.3dshapes/" + "Molex_PicoBlade_53398-{:02d}71_1x{:02d}".format(pins, pins) + "-1MP_P1.25mm_Vertical.step", (0, -1.3/25.4, 0), (1, 1, 1), (0, 0, 0))] def top_smd_fp(pins): name = "MOLEX-PICOBLADE-53398-{:02d}71".format(pins) tedit = format(int(time.time()), 'X') sexp = ["module", name, ("layer", "F.Cu"), ("tedit", tedit)] sexp += [["attr", "smd"]] sexp += top_smd_refs(name) sexp += top_smd_silk(pins) sexp += top_smd_fab(pins) sexp += top_smd_ctyd(pins) sexp += top_smd_mount(pins) sexp += top_smd_pads(pins) sexp += top_smd_model(pins) return name, sexp_generate(sexp) def main(prettypath, verify=False, verbose=False): for pins in range(2, 15): for generator in (top_smd_fp,): # Generate the footprint name, fp = generator(pins) path = os.path.join(prettypath, name + ".kicad_mod") if verify and verbose: print("Verifying", path) # Check if the file already exists and isn't changed if os.path.isfile(path): with open(path) as f: old = f.read() old = [n for n in sexp_parse(old) if n[0] != "tedit"] new = [n for n in sexp_parse(fp) if n[0] != "tedit"] if new == old: continue # If not, either verification failed or we should output the new fp if verify: return False else: with open(path, "w") as f: f.write(fp) # If we finished and didn't return yet, verification has succeeded if verify: return True if __name__ == "__main__": parser = argparse.ArgumentParser() parser.add_argument("prettypath", type=str, help="Path to footprints to process") parser.add_argument("--verify", action="store_true", help="Verify libraries are up to date") parser.add_argument("--verbose", action="store_true", help="Print out every library verified") args = vars(parser.parse_args()) result = main(**args) if args['verify']: if result: print("OK: all footprints up-to-date.") sys.exit(0) else: print("Error: footprints not up-to-date.", file=sys.stderr) sys.exit(1)

[ "adam@adamgreig.com" ]

adam@adamgreig.com

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from pytest import raises import sqlalchemy as sa from sqlalchemy_utils import sort_query from sqlalchemy_utils.functions import QuerySorterException from tests import TestCase class TestSortQuery(TestCase): def test_without_sort_param_returns_the_query_object_untouched(self): query = self.session.query(self.Article) sorted_query = sort_query(query, '') assert query == sorted_query def test_column_ascending(self): query = sort_query(self.session.query(self.Article), 'name') assert 'ORDER BY article.name ASC' in str(query) def test_column_descending(self): query = sort_query(self.session.query(self.Article), '-name') assert 'ORDER BY article.name DESC' in str(query) def test_skips_unknown_columns(self): query = self.session.query(self.Article) sorted_query = sort_query(query, '-unknown') assert query == sorted_query def test_non_silent_mode(self): query = self.session.query(self.Article) with raises(QuerySorterException): sort_query(query, '-unknown', silent=False) def test_join(self): query = ( self.session.query(self.Article) .join(self.Article.category) ) query = sort_query(query, 'name', silent=False) assert 'ORDER BY article.name ASC' in str(query) def test_calculated_value_ascending(self): query = self.session.query( self.Category, sa.func.count(self.Article.id).label('articles') ) query = sort_query(query, 'articles') assert 'ORDER BY articles ASC' in str(query) def test_calculated_value_descending(self): query = self.session.query( self.Category, sa.func.count(self.Article.id).label('articles') ) query = sort_query(query, '-articles') assert 'ORDER BY articles DESC' in str(query) def test_subqueried_scalar(self): article_count = ( sa.sql.select( [sa.func.count(self.Article.id)], from_obj=[self.Article.__table__] ) .where(self.Article.category_id == self.Category.id) .correlate(self.Category.__table__) ) query = self.session.query( self.Category, article_count.label('articles') ) query = sort_query(query, '-articles') assert 'ORDER BY articles DESC' in str(query) def test_aliased_joined_entity(self): alias = sa.orm.aliased(self.Category, name='categories') query = self.session.query( self.Article ).join( alias, self.Article.category ) query = sort_query(query, '-categories-name') assert 'ORDER BY categories.name DESC' in str(query) def test_joined_table_column(self): query = self.session.query(self.Article).join(self.Article.category) sorted_query = sort_query(query, 'category-name') assert 'category.name ASC' in str(sorted_query) def test_multiple_columns(self): query = self.session.query(self.Article) sorted_query = sort_query(query, 'name', 'id') assert 'article.name ASC, article.id ASC' in str(sorted_query) def test_column_property(self): self.Category.article_count = sa.orm.column_property( sa.select([sa.func.count(self.Article.id)]) .where(self.Article.category_id == self.Category.id) .label('article_count') ) query = self.session.query(self.Category) sorted_query = sort_query(query, 'article_count') assert 'article_count ASC' in str(sorted_query) def test_column_property_descending(self): self.Category.article_count = sa.orm.column_property( sa.select([sa.func.count(self.Article.id)]) .where(self.Article.category_id == self.Category.id) .label('article_count') ) query = self.session.query(self.Category) sorted_query = sort_query(query, '-article_count') assert 'article_count DESC' in str(sorted_query) def test_relationship_property(self): query = self.session.query(self.Category) query = sort_query(query, 'articles') assert 'ORDER BY' not in str(query) def test_hybrid_property(self): query = self.session.query(self.Category) query = sort_query(query, 'articles_count') assert 'ORDER BY (SELECT count(article.id) AS count_1' in str(query) def test_hybrid_property_descending(self): query = self.session.query(self.Category) query = sort_query(query, '-articles_count') assert ( 'ORDER BY (SELECT count(article.id) AS count_1' ) in str(query) assert ' DESC' in str(query) def test_relation_hybrid_property(self): query = ( self.session.query(self.Article) .join(self.Article.category) .correlate(self.Article.__table__) ) query = sort_query(query, '-category-articles_count') assert 'ORDER BY (SELECT count(article.id) AS count_1' in str(query) def test_aliased_hybrid_property(self): alias = sa.orm.aliased( self.Category, name='categories' ) query = ( self.session.query(self.Article) .outerjoin(alias, self.Article.category) .options( sa.orm.contains_eager(self.Article.category, alias=alias) ) ) query = sort_query(query, '-categories-articles_count') assert 'ORDER BY (SELECT count(article.id) AS count_1' in str(query)

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marcosptf@yahoo.com.br

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import argparse import logging import numpy as np import torch from pydantic import BaseModel, confloat, constr from transformers import DistilBertTokenizer, DistilBertForSequenceClassification from ventu import Ventu # request schema used for validation class Req(BaseModel): # the input sentence should be at least 2 characters text: constr(min_length=2) class Config: # examples used for health check and warm-up schema_extra = { 'example': {'text': 'my cat is very cut'}, 'batch_size': 16, } # response schema used for validation class Resp(BaseModel): positive: confloat(ge=0, le=1) negative: confloat(ge=0, le=1) class ModelInference(Ventu): def __init__(self, *args, **kwargs): # initialize super class with request & response schema, configs super().__init__(*args, **kwargs) # initialize model and other tools self.tokenizer = DistilBertTokenizer.from_pretrained( 'distilbert-base-uncased') self.model = DistilBertForSequenceClassification.from_pretrained( 'distilbert-base-uncased-finetuned-sst-2-english') def preprocess(self, data: Req): # preprocess a request data (as defined in the request schema) tokens = self.tokenizer.encode(data.text, add_special_tokens=True) return tokens def batch_inference(self, data): # batch inference is used in `socket` mode data = [torch.tensor(token) for token in data] with torch.no_grad(): result = self.model(torch.nn.utils.rnn.pad_sequence(data, batch_first=True))[0] return result.numpy() def inference(self, data): # inference is used in `http` mode with torch.no_grad(): result = self.model(torch.tensor(data).unsqueeze(0))[0] return result.numpy()[0] def postprocess(self, data): # postprocess a response data (returned data as defined in the response schema) scores = (np.exp(data) / np.exp(data).sum(-1, keepdims=True)).tolist() return {'negative': scores[0], 'positive': scores[1]} def create_model(): logger = logging.getLogger() formatter = logging.Formatter( fmt='%(asctime)s - %(levelname)s - %(module)s - %(message)s') handler = logging.StreamHandler() handler.setFormatter(formatter) logger.setLevel(logging.DEBUG) logger.addHandler(handler) model = ModelInference(Req, Resp, use_msgpack=True) return model def create_app(): """for gunicorn""" return create_model().app if __name__ == "__main__": parser = argparse.ArgumentParser(description='Ventu service') parser.add_argument('--mode', '-m', default='http', choices=('http', 'unix', 'tcp')) parser.add_argument('--host', default='localhost') parser.add_argument('--port', '-p', default=8080, type=int) parser.add_argument('--socket', '-s', default='batching.socket') args = parser.parse_args() model = create_model() if args.mode == 'unix': model.run_unix(args.socket) elif args.mode == 'tcp': model.run_tcp(args.host, args.port) else: model.run_http(args.host, args.port)

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kemingy94@gmail.com

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#!/usr/bin/env python # _*_ coding:utf-8 _*_ """ * @author: Lightwing Ng * email: rodney_ng@iCloud.com * created on Apr 14, 2018, 8:00 PM * Software: PyCharm * Project Name: Tutorial 题目：古典问题：有一对兔子，从出生后第3个月起每个月都生一对兔子，小兔子长到第三个月后每个月又生一对兔子，假如兔子都不死，问每个月的兔子总数为多少？程序分析：兔子的规律为数列1,1,2,3,5,8,13,21.... """ a = 1 b = 1 for i in range(1, 22): print("%12ld, %12ld" % (a, b)) a = a + b b = a + b

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import logging from feedgen.feed import FeedGenerator logger = logging.getLogger('flamingo.plugins.Feeds') class Feeds: def pre_build(self, context): FEEDS_DOMAIN = getattr(context.settings, 'FEEDS_DOMAIN', '/') FEEDS = getattr(context.settings, 'FEEDS', []) for feed_config in FEEDS: try: content = { 'type': 'feed', 'feed_type': feed_config['type'], 'output': feed_config['output'], 'url': '/' + feed_config['output'], } if 'lang' in feed_config: content['lang'] = feed_config['lang'] fg = FeedGenerator() fg.id(feed_config['id']) fg.title(feed_config['title']) for i in feed_config['contents'](context): fe = fg.add_entry() # setup required entry attributes fe_title = i['content_title'] fe_link = { 'href': '{}{}'.format(FEEDS_DOMAIN, i['url']), 'rel': 'alternate' } if 'entry-id' in feed_config: fe_id = feed_config['entry-id'](i) else: fe_id = i['output'] if 'updated' in feed_config: fe_updated = feed_config['updated'](i) else: fe_updated = '' # check entry attributes missing_attributes = [] if not fe_id: missing_attributes.append('id') if not fe_title: missing_attributes.append('title') if not fe_updated: missing_attributes.append('updated') if missing_attributes: logger.error('%s is missing attributes: %s', i['path'] or i, ', '.join(missing_attributes)) return # optional attributes fe.id(fe_id) fe.title(fe_title) fe.updated(fe_updated) fe.link(fe_link) if i['content_body']: fe.content(i['content_body'], type='html') if i['authors']: for author in i['authors']: fe.author({ 'name': author, }) if i['summary']: fe.summary(str(i['summary'])) # generate output if feed_config['type'] == 'atom': content['content_body'] = fg.atom_str().decode() elif feed_config['type'] == 'rss': content['content_body'] = fg.rss_str().decode() context.contents.add(**content) except Exception: logger.error("feed '%s' setup failed", feed_config['id'], exc_info=True)

[ "f.scherf@pengutronix.de" ]

f.scherf@pengutronix.de

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def average(array): a = set(array) s = sum(a)/len(a) return f"{s:.3f}" if __name__ == '__main__': n = int(input()) arr = list(map(int, input().split())) result = average(arr) print(result) """ >> a = raw_input() 5 4 3 2 >> lis = a.split() >> print (lis) ['5', '4', '3', '2'] >> newlis = list(map(int, lis)) >> print (newlis) [5, 4, 3, 2] >> myset = {1, 2} # Directly assigning values to a set >> myset = set() # Initializing a set >> myset = set(['a', 'b']) # Creating a set from a list >> myset {'a', 'b'} >> myset.add('c') >> myset {'a', 'c', 'b'} >> myset.add('a') # As 'a' already exists in the set, nothing happens >> myset.add((5, 4)) >> myset {'a', 'c', 'b', (5, 4)} >> myset.update([1, 2, 3, 4]) # update() only works for iterable objects >> myset {'a', 1, 'c', 'b', 4, 2, (5, 4), 3} >> myset.update({1, 7, 8}) >> myset {'a', 1, 'c', 'b', 4, 7, 8, 2, (5, 4), 3} >> myset.update({1, 6}, [5, 13]) >> myset {'a', 1, 'c', 'b', 4, 5, 6, 7, 8, 2, (5, 4), 13, 3} >> myset.discard(10) >> myset {'a', 1, 'c', 'b', 4, 5, 7, 8, 2, 12, (5, 4), 13, 11, 3} >> myset.remove(13) >> myset {'a', 1, 'c', 'b', 4, 5, 7, 8, 2, 12, (5, 4), 11, 3} Both the discard() and remove() functions take a single value as an argument and removes that value from the set. If that value is not present, discard() does nothing, but remove() will raise a KeyError exception. >> a = {2, 4, 5, 9} >> b = {2, 4, 11, 12} >> a.union(b) # Values which exist in a or b {2, 4, 5, 9, 11, 12} >> a.intersection(b) # Values which exist in a and b {2, 4} >> a.difference(b) # Values which exist in a but not in b {9, 5} >> a.union(b) == b.union(a) True >> a.intersection(b) == b.intersection(a) True >> a.difference(b) == b.difference(a) False """

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prayag@outlook.in

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xuelang201201/PythonCrashCourse

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""" 用户的专辑：在为完成练习 8-7 编写的程序中，编写一个 while 循环，让用户输入一个专辑的歌手和名称。获取这些信息后，使用它们来调用函数 make_album()，并将创建的字典打印出来。在这个 while 循环中，务必要提供退出途径。 """ def make_album(artist, title, tracks=int()): album_dict = { 'artist': artist.title(), 'title': title.title(), } if tracks: album_dict['tracks'] = tracks return album_dict title_prompt = "\nWhat album are you thinking of? " artist_prompt = "Who's the artist? " print("Enter 'quit' at any time to stop.") while True: title = input(title_prompt) if title == 'quit': break artist = input(artist_prompt) if artist == 'quit': break album = make_album(title=title, artist=artist) print(album) print("\nThanks for responding!")

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#!/usr/bin/python from pychartdir import * # # In this demo, the generated web page needs to load the "cdjcv.js" Javascript file. For ease of # installation, we put "cdjcv.js" in the same directory as this script. However, if this script is # installed in a CGI only directory (such as cgi-bin), the web server would not allow the browser to # access this non-CGI file. # # To get around this potential issue, a special load resource script is used to load these files. # Instead of using: # # <SCRIPT SRC="cdjcv.js"> # # we now use: # # <SCRIPT SRC="loadresource.py?file=cdjcv.js"> # # If this script is not in a CGI only directory, you may replace the following loadResource string # with an empty string "" to improve performance. # loadResource = "loadresource.py?file=" print("Content-type: text/html\n") print(""" <!DOCTYPE html> <html> <head> <title>Simple Realtime Chart</title> <script type="text/javascript" src="%(loadResource)scdjcv.js"></script> </head> <body style="margin:0px"> <table cellspacing="0" cellpadding="0" border="0"> <tr> <td align="right" colspan="2" style="background:#000088; color:#ffff00; padding:0px 4px 2px 0px;"> <a style="color:#FFFF00; font:italic bold 10pt Arial; text-decoration:none" href="http://www.advsofteng.com/"> Advanced Software Engineering </a> </td> </tr> <tr valign="top"> <td style="width:130px; background:#c0c0ff; border-right:black 1px solid; border-bottom:black 1px solid;"> <br /> <br /> <div style="font:12px Verdana; padding:10px;"> <b>Update Period</b><br /> <select id="UpdatePeriod" style="width:110px"> <option value="5">5</option> <option value="10" selected="selected">10</option> <option value="20">20</option> <option value="30">30</option> <option value="60">60</option> </select> <br /><br /><br /> <b>Time Remaining</b><br /> <div style="width:108px; border:#888888 1px inset;"> <div style="margin:3px" id="TimeRemaining">0</div> </div> </div> </td> <td> <div style="font: bold 20pt Arial; margin:5px 0px 0px 5px;"> Simple Realtime Chart </div> <hr style="border:solid 1px #000080" /> <div style="padding:0px 5px 5px 10px">  <img id="ChartImage1" src="realtimechart.py?chartId=demoChart1"> </div> </td> </tr> </table> <script type="text/javascript"> // // Executes once every second to update the countdown display. Updates the chart when the countdown reaches 0. // function timerTick() { // Get the update period and the time left var updatePeriod = parseInt(document.getElementById("UpdatePeriod").value); var timeLeft = Math.min(parseInt(document.getElementById("TimeRemaining").innerHTML), updatePeriod) - 1; if (timeLeft == 0) // Can update the chart now JsChartViewer.get('ChartImage1').streamUpdate(); else if (timeLeft < 0) // Reset the update period timeLeft += updatePeriod; // Update the countdown display document.getElementById("TimeRemaining").innerHTML = timeLeft; } window.setInterval("timerTick()", 1000); </script> </body> </html> """ % { "loadResource" : loadResource })

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jreiher2003/casino

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import pymongo from pymongo import MongoClient from datetime import datetime conn = MongoClient("mongodb://finn:finn7797@localhost:27017/casino") db = conn.casino.test_col # blog_record = {} blog_record = { "author": "erlichson", "body": "This is a test body", "comments": [ { "body":"this is a comment", "email": "jeffreiher@gmail.com", "author": "Jeff Reiher 1" }, { "body":"This is another comment", "email":"jreiher2003@yahoo.com", "author":"Finn Gotti" } ], "date": datetime.utcnow(), "permalink": "This_is_a_test_Post", "tags": ["cycling", "mongodb", "swimming"], "title": "This is a test Post" } # blog_record2 = {} blog_record2 = { "author": "mcnuts", "body": "This is body of second record", "comments": [ { "body":"this is a comment record 2", "email": "jeff_record2@gmail.com", "author": "Jeff Reiher 2" }, { "body":"This is another comment 2", "email":"reiher@yahoo.com", "author":"Gotti record 2" } ], "date": datetime.utcnow(), "permalink": "This_is_a_test_Post_record_2", "tags": ["howbahdaw", "bitchassness", "fucking"], "title": "This is a test Post Record 2" } db.insert(blog_record) db.insert(blog_record2) conn.close()

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class Solution: # @return a string def getPermutation(self, n, k): num = 1 for i in range(n): num *= (i+1) if k < 1 or k > num: return None k = k-1 seq = [i+1 for i in range(n)] permutation = '' subk = 1 for i in range(n, 0, -1): for j in range(1, i): subk *= j index = k / subk k = k % subk subk = 1 permutation += str(seq.pop(index)) return permutation s = Solution() print(s.getPermutation(1, 1))

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class Sample: def __init__(self,x): self.x = x def __add__(self,other): print(self.x*other.x) a=Sample(5) b=Sample(10) a+b

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# -*- coding: utf-8 -*- import numbers import numpy import scipy.ndimage.filters from . import _utils def _get_sigmas(input, sigma): ndim = input.ndim nsigmas = numpy.array(sigma) if nsigmas.ndim == 0: nsigmas = numpy.array(ndim * [nsigmas[()]]) if nsigmas.ndim != 1: raise RuntimeError( "Must have a single sigma or a single sequence." ) if ndim != len(nsigmas): raise RuntimeError( "Must have an equal number of sigmas to input dimensions." ) if not issubclass(nsigmas.dtype.type, numbers.Real): raise TypeError("Must have real sigmas.") nsigmas = tuple(nsigmas) return nsigmas def _get_border(input, sigma, truncate): sigma = numpy.array(_get_sigmas(input, sigma)) if not isinstance(truncate, numbers.Real): raise TypeError("Must have a real truncate value.") half_shape = tuple(numpy.ceil(sigma * truncate).astype(int)) return half_shape @_utils._update_wrapper(scipy.ndimage.filters.gaussian_filter) def gaussian_filter(input, sigma, order=0, mode='reflect', cval=0.0, truncate=4.0): sigma = _get_sigmas(input, sigma) depth = _get_border(input, sigma, truncate) depth, boundary = _utils._get_depth_boundary(input.ndim, depth, "none") result = input.map_overlap( scipy.ndimage.filters.gaussian_filter, depth=depth, boundary=boundary, dtype=input.dtype, sigma=sigma, order=order, mode=mode, cval=cval, truncate=truncate ) return result @_utils._update_wrapper(scipy.ndimage.filters.gaussian_gradient_magnitude) def gaussian_gradient_magnitude(input, sigma, mode='reflect', cval=0.0, truncate=4.0, **kwargs): sigma = _get_sigmas(input, sigma) depth = _get_border(input, sigma, truncate) depth, boundary = _utils._get_depth_boundary(input.ndim, depth, "none") result = input.map_overlap( scipy.ndimage.filters.gaussian_gradient_magnitude, depth=depth, boundary=boundary, dtype=input.dtype, sigma=sigma, mode=mode, cval=cval, truncate=truncate, **kwargs ) return result @_utils._update_wrapper(scipy.ndimage.filters.gaussian_laplace) def gaussian_laplace(input, sigma, mode='reflect', cval=0.0, truncate=4.0, **kwargs): sigma = _get_sigmas(input, sigma) depth = _get_border(input, sigma, truncate) depth, boundary = _utils._get_depth_boundary(input.ndim, depth, "none") result = input.map_overlap( scipy.ndimage.filters.gaussian_laplace, depth=depth, boundary=boundary, dtype=input.dtype, sigma=sigma, mode=mode, cval=cval, truncate=truncate, **kwargs ) return result

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2023-04-22T10:22:44.763102

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S = int(input()) mod = 10 ** 9 + 7 f = [1] for i in range(1,2000): f.append((f[-1] * i) % mod) def comb(n,r): return f[n] * (pow(f[r], mod-2, mod) * pow(f[n-r], mod-2, mod) % mod) % mod ans = 0 for i in range(1,700): s = S - (3 * i) if s < 0: break ans += comb(s+i-1, i-1) ans %= mod print(ans)

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club_info = {'club_url': 'https://www.futbin.com///18/leagues/Campeonato%20Scotiabank?page=1&club=112668', 'club_logo': 'https://cdn.futbin.com/content/fifa18/img/clubs/112668.png', 'club_name': 'San Luis'} players = {}

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def is_prime(x): if x <= 1: return False if x == 2 or x == 3: return True if x % 2 == 0 or x % 3 == 0: return False for i in range(5, int(x ** .5) + 1, 6): if x % i == 0 or x % (i + 2) == 0: return False return True t = int(input()) for _ in range(t): n = int(input()) if n == 1: print('YES') continue print('NO' if is_prime(n + 1) else 'YES')

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# coding: utf-8 """ Kubernetes No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: v1.14.4 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class V1beta1APIServiceList(object): """ NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'api_version': 'str', 'items': 'list[V1beta1APIService]', 'kind': 'str', 'metadata': 'V1ListMeta' } attribute_map = { 'api_version': 'apiVersion', 'items': 'items', 'kind': 'kind', 'metadata': 'metadata' } def __init__(self, api_version=None, items=None, kind=None, metadata=None): """ V1beta1APIServiceList - a model defined in Swagger """ self._api_version = None self._items = None self._kind = None self._metadata = None self.discriminator = None if api_version is not None: self.api_version = api_version self.items = items if kind is not None: self.kind = kind if metadata is not None: self.metadata = metadata @property def api_version(self): """ Gets the api_version of this V1beta1APIServiceList. APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#resources :return: The api_version of this V1beta1APIServiceList. :rtype: str """ return self._api_version @api_version.setter def api_version(self, api_version): """ Sets the api_version of this V1beta1APIServiceList. APIVersion defines the versioned schema of this representation of an object. Servers should convert recognized schemas to the latest internal value, and may reject unrecognized values. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#resources :param api_version: The api_version of this V1beta1APIServiceList. :type: str """ self._api_version = api_version @property def items(self): """ Gets the items of this V1beta1APIServiceList. :return: The items of this V1beta1APIServiceList. :rtype: list[V1beta1APIService] """ return self._items @items.setter def items(self, items): """ Sets the items of this V1beta1APIServiceList. :param items: The items of this V1beta1APIServiceList. :type: list[V1beta1APIService] """ if items is None: raise ValueError('Invalid value for `items`, must not be `None`') self._items = items @property def kind(self): """ Gets the kind of this V1beta1APIServiceList. Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds :return: The kind of this V1beta1APIServiceList. :rtype: str """ return self._kind @kind.setter def kind(self, kind): """ Sets the kind of this V1beta1APIServiceList. Kind is a string value representing the REST resource this object represents. Servers may infer this from the endpoint the client submits requests to. Cannot be updated. In CamelCase. More info: https://git.k8s.io/community/contributors/devel/api-conventions.md#types-kinds :param kind: The kind of this V1beta1APIServiceList. :type: str """ self._kind = kind @property def metadata(self): """ Gets the metadata of this V1beta1APIServiceList. :return: The metadata of this V1beta1APIServiceList. :rtype: V1ListMeta """ return self._metadata @metadata.setter def metadata(self, metadata): """ Sets the metadata of this V1beta1APIServiceList. :param metadata: The metadata of this V1beta1APIServiceList. :type: V1ListMeta """ self._metadata = metadata def to_dict(self): """ Returns the model properties as a dict """ result = {} for attr, _ in iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list( map(lambda x: x.to_dict() if hasattr(x, 'to_dict') else x, value)) elif hasattr(value, 'to_dict'): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict( map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], 'to_dict') else item, value.items())) else: result[attr] = value return result def to_str(self): """ Returns the string representation of the model """ return pformat(self.to_dict()) def __repr__(self): """ For `print` and `pprint` """ return self.to_str() def __eq__(self, other): """ Returns true if both objects are equal """ if not isinstance(other, V1beta1APIServiceList): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other

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import typing from typing import Text, Union from ..appfs import _AppFS from ..subfs import SubFS from .base import Opener from .parse import ParseResult from .registry import registry if typing.TYPE_CHECKING: ... @registry.install class AppFSOpener(Opener): protocols = ... _protocol_mapping = ... def open_fs( self, fs_url: Text, parse_result: ParseResult, writeable: bool, create: bool, cwd: Text, ) -> Union[_AppFS, SubFS[_AppFS]]: ...

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ash/python-in-5days

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# Quoting strings: single or double quotes are equivalent. # Choose the one that makes it easy to add quotes inside a string: s1 = 'single " quote' s2 = "double ' quotes" # Escpaing characters with a backslash: s3 = 'escape \' continue' print(s3) # More escaped symbols: # \n = newline # \t = tab # \r = line feed # \b = bell # Unicode is OK: city = 'Zürich' print(city) # You can force an encoding if needed: print(city.encode(encoding='Latin-1')) # To sort, transform Straßse to strasse: s = 'Straße' print(s.casefold()) print(s) # Create a strings explicitly: s = str(123) print(type(s)) # There are also other 'string' types: # bytes() # bytearray() # This is how you concatenate strings: big_string = "first part " "second part" big_string = "first part " + "second part" print(big_string) # String repetion using * string1 = "Hello!" print(string1 * 10) print(10 * string1) # When printing a string, make sure all parts are strings: print('123' + str(456)) print(int('123') + 456)

[ "andy@shitov.ru" ]

andy@shitov.ru

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# Read an SRA table with sample information and create a "design" # table that can be used by the R metagene package for plotting # by experimental group. In the sra file the experimental group # should be under a column called "modification" and the sample # name should be under "Sample Name" (case sensitive). import pandas as pd import argparse from pathlib import Path def get_args(): parser = argparse.ArgumentParser() parser.add_argument('sra', help='Path to sra table to read.') parser.add_argument('out', help='Path to output table.') parser.add_argument('--delim', default=',', help='Delimiter of sra file.') return parser.parse_args() def read_sra(filepath, delim=',', **kwargs): return pd.read_csv(str(filepath), sep=delim, **kwargs) def design_frame(sra_frame): groups = list(set(list(sra_frame['modification']))) groups = [g.replace(' ', '_') for g in groups] print(groups) group_matrix = {} for index, row in sra_frame.iterrows(): sample_row = {g: 0 for g in groups} sample_row[str(row['modification']).replace(' ','_')] = 1 group_matrix[str(row['Sample Name'])] = sample_row return pd.DataFrame(group_matrix).transpose() def main(): args = get_args() sra_df = read_sra(args.sra) design_df = design_frame(sra_df) design_df.to_csv(args.out, sep='\t') if __name__ == '__main__': main()

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etholleman@ucdavis.edu

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import pyaf.Bench.TS_datasets as tsds import pyaf.tests.artificial.process_artificial_dataset as art art.process_dataset(N = 128 , FREQ = 'D', seed = 0, trendtype = "PolyTrend", cycle_length = 7, transform = "Logit", sigma = 0.0, exog_count = 20, ar_order = 0);

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antoine.carme@laposte.net

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2022-12-17T17:26:39.176484

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# coding:utf8 # @Time : 2020/7/2 上午1:26 # @Author : Erics # @File : forms.py # @Software: PyCharm from flask_wtf import FlaskForm # pip install flask_wtf -i https://mirrors.aliyun.com/pypi/simple from wtforms import StringField, PasswordField, SubmitField, SelectField, FileField, TextAreaField from wtforms.validators import DataRequired, EqualTo, ValidationError, Length from models import User, Cate from flask import session class RegisterForm(FlaskForm): name = StringField( label='账号', validators=[ DataRequired('账号不能为空！'), Length(max=16, message='账号不大于%(max)d位！') ], description='账号', render_kw={ 'class': 'form-control', "placeholder": "请输入账号！", 'maxlength': '16', } ) pwd = PasswordField( label="密码", validators=[ DataRequired("密码不能为空！"), Length(min=6, max=20, message='密码长度必须大于%(min)d不少于%(max)d位！') ], description="密码", render_kw={ "class": "form-control", "placeholder": "请输入密码！", 'maxlength': '20', 'minlength': '6', } ) re_pwd = PasswordField( label=u"确认密码", validators=[ DataRequired("确认密码不能为空！"), Length(min=6, max=20, message='密码长度必须大于%(min)d不少于%(max)d位!'), EqualTo('pwd', message="两次输入密码不一致！") ], description="确认密码", render_kw={ "class": "form-control", "placeholder": "请输入确认密码！", 'maxlength': '20', 'minlength': '6', } ) verification_code = StringField( label="验证码", validators=[ DataRequired("验证码不能为空！"), Length(min=4, max=4, message='请输入%(max)d位验证码！'), ], description="验证码", render_kw={ "class": "form-control", "placeholder": "请输入验证码！", 'maxlength': '4', 'minlength': '4', } ) submit = SubmitField( "注册", render_kw={ "class": "btn btn-primary" } ) # 自定义字段验证规则：validate_字段名 # 自定义账号验证功能：账号是否已经存在 def validate_name(self, field): name = field.data user_count = User.query.filter_by(name=name).count() if user_count > 0: raise ValidationError("账号已存在，不能重复注册！") # 自定义验证码验证功能：验证码是否正确 def validate_verification_code(self, field): code = field.data # 4j28 if session.get("code") and session.get("code").lower() != code.lower(): raise ValidationError("验证码不正确！") class LoginForm(FlaskForm): name = StringField( label='账号', validators=[ DataRequired('账号不能为空！'), Length(max=16, message='账号不大于%(max)d位！') ], description='账号', render_kw={ 'class': 'form-control', "placeholder": "请输入账号！", 'maxlength': '16', } ) pwd = PasswordField( label="密码", validators=[ DataRequired("密码不能为空！"), Length(min=6, max=20, message='密码长度必须大于%(min)d不少于%(max)d位！') ], description="密码", render_kw={ "class": "form-control", "placeholder": "请输入密码！", 'maxlength': '20', 'minlength': '6', } ) submit = SubmitField( "登录", render_kw={ "class": "btn btn-primary" } ) class ArticleAddForm(FlaskForm): def __init__(self, *args, **kwargs): super(ArticleAddForm, self).__init__(*args, **kwargs) cate = Cate.query.all() # [<Cate 2>, <Cate 1>] self.cate_id.choices = [(i.id, i.title) for i in cate] self.cate_id.choices.reverse() # print(self.cate_id.choices) # [(1, '科技'), (2, '社会')] title = StringField( label='标题', description='标题', validators=[ DataRequired('标题不能为空！'), Length(max=30, message='标题长度不应该大于%(max)d位！') ], render_kw={ 'class': 'form-control', 'placeholder': '请输入标题', 'maxlength': '30' } ) cate_id = SelectField( label='分类', description='分类', validators=[ DataRequired('分类不能为空！'), ], choices=None, default=1, coerce=int, render_kw={ 'class': 'form-control' } ) logo = FileField( label='封面', description='封面', validators=[ DataRequired('封面不能为空！') ], render_kw={ 'class': 'form-control-static' } ) content = TextAreaField( label="内容", validators=[ DataRequired("内容不能为空！"), Length(max=2000, message='不得超过%(max)d字') ], description="内容", render_kw={ "style": "height:300px;", "id": "content" } ) submit = SubmitField( "发布", render_kw={ "class": "btn btn-danger", } ) class ArticleEditForm(FlaskForm): def __init__(self, *args, **kwargs): super(ArticleEditForm, self).__init__(*args, **kwargs) cate = Cate.query.all() # [<Cate 2>, <Cate 1>] self.cate_id.choices = [(i.id, i.title) for i in cate] self.cate_id.choices.reverse() # print(self.cate_id.choices) # [(1, '科技'), (2, '社会')] title = StringField( label='标题', description='标题', validators=[ DataRequired('标题不能为空！'), Length(max=30, message='标题长度不应该大于%(max)d位！') ], render_kw={ 'class': 'form-control', 'placeholder': '请输入标题', 'maxlength': '30' } ) cate_id = SelectField( label='分类', description='分类', validators=[ DataRequired('分类不能为空！'), ], choices=None, default=1, coerce=int, render_kw={ 'class': 'form-control' } ) logo = FileField( label='封面', description='封面', validators=[ DataRequired('封面不能为空！') ], render_kw={ 'class': 'form-control-static' } ) content = TextAreaField( label="内容", validators=[ DataRequired("内容不能为空！"), Length(max=2000, message='不得超过%(max)d字') ], description="内容", render_kw={ "style": "height:300px;", "id": "content" } ) submit = SubmitField( "编辑", render_kw={ "class": "btn btn-primary" } )

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erics1996@yeah.net

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daniel-reich/turbo-robot

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""" Create a function that takes a list consisting of dice rolls from 1-6. Return the sum of your rolls with the following conditions: 1. If a 1 is rolled, that is bad luck. The next roll counts as 0. 2. If a 6 is rolled, that is good luck. The next roll is multiplied by 2. 3. The list length will always be 3 or higher. ### Examples rolls([1, 2, 3]) ➞ 4 # The second roll, 2, counts as 0 as a result of rolling 1. rolls([2, 6, 2, 5]) ➞ 17 # The 2 following the 6 was multiplied by 2. rolls([6, 1, 1]) ➞ 8 # The first roll makes the second roll worth 2, but the # second roll was still 1 so the third roll doesn't count. ### Notes Even if a 6 is rolled after a 1, 6 isn't summed but the 6's "effect" still takes place. """ def rolls(lst): k=lst[0] for i in range(1,len(lst)): s=lst[i] if(lst[i-1]==1): s=0 if(lst[i-1]==6): s=2*lst[i] k=k+s return k

[ "daniel.reich@danielreichs-MacBook-Pro.local" ]

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import logging logging.basicConfig(level=logging.DEBUG) logging.info('Program started') logging.warn("Warnig message") logging.exception("Exception message") logging.info("program ended")

[ "sambapython@gmail.com" ]

sambapython@gmail.com

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MJK0211/bit_seoul

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import pandas as pd import numpy as np import matplotlib.pyplot as plt import seaborn as sns train = pd.read_csv('./data/titanic/csv/train.csv') test = pd.read_csv('./data/titanic/csv/test.csv') # print(train.shape) #(891, 12) # print(test.shape) #(418, 11) # print(train.head()) # print(train.tail()) # Survived - 생존 여부 (0 = 사망, 1 = 생존) # Pclass - 티켓 클래스 (1 = 1등석, 2 = 2등석, 3 = 3등석) # Sex - 성별 # Age - 나이 # SibSp - 함께 탑승한 자녀 / 배우자 의 수 # Parch - 함께 탑승한 부모님 / 아이들 의 수 # Ticket - 티켓 번호 # Fare - 탑승 요금 # Cabin - 수하물 번호 # Embarked - 선착장 (C = Cherbourg, Q = Queenstown, S = Southampton) # train의 칼럼별 결측치 합계 # print(train.isnull().sum()) # PassengerId 0 # Survived 0 # Pclass 0 # Name 0 # Sex 0 # Age 177 # SibSp 0 # Parch 0 # Ticket 0 # Fare 0 # Cabin 687 # Embarked 2 # test의 칼럼별 결측치 합계 # print(test.isnull().sum()) # PassengerId 0 # Pclass 0 # Name 0 # Sex 0 # Age 86 # SibSp 0 # Parch 0 # Ticket 0 # Fare 1 # Cabin 327 # Embarked 0 def bar_chart(feature): survived = train[train['Survived']==1][feature].value_counts() dead = train[train['Survived']==0][feature].value_counts() df = pd.DataFrame([survived, dead]) df.index = ['Survived', 'Dead'] df.plot(kind='bar', stacked=True, figsize=(15,8)) # bar_chart('Embarked') #Pclass, Sex, SibSp, Parch, Embarked train = train.drop(['Cabin', 'Embarked', 'Ticket', 'PassengerId'],axis=1) test = test.drop(['Cabin', 'Embarked', 'Ticket', 'PassengerId'],axis=1) # print(test) train["Age"].fillna(train.groupby("Sex")["Age"].transform("mean"), inplace=True) test["Age"].fillna(test.groupby("Sex")["Age"].transform("mean"), inplace=True) test["Fare"].fillna(test.groupby("Sex")["Fare"].transform("median"), inplace=True) # print(train.isnull().sum()) # print(test.isnull().sum()) train_test_data = [train, test] for dataset in train_test_data: dataset['Title'] = dataset['Name'].str.extract(' ([A-Za-z]+)\.', expand=False) sex_mapping = {"male": 0, "female": 1} title_mapping = {"Mr":0, "Miss":1, "Mrs":2, "Master":3, "Dr":3, "Rev":3, "Col":3, "Major":3, "Mlle":3, "countess":3, "Ms":3, "Lady":3, "Jonkheer":3, "Don":3, "Dona":3, "Mme":3, "Capt":3, "Sir":3 } for dataset in train_test_data: dataset['Title'] = dataset['Title'].map(title_mapping) #title 맵핑 '0', '1', '2' dataset['Sex'] = dataset['Sex'].map(sex_mapping) #Sex '남:0', '여:1'로 맵핑 dataset.drop('Name', axis=1, inplace=True) #Name에서 Title 추출 후, 필요없는 데이터이기 때문에 삭제! # bar_chart('Title') # plt.show() # print(test) #Binning - Age를 10대, 20대, 30대, 40대, 50대, 50대 이상으로 분류 for dataset in train_test_data: dataset.loc[dataset['Age'] <= 19, 'Age'] = 0, #0 : 10대 dataset.loc[(dataset['Age'] > 19) & (dataset['Age'] <= 29), 'Age'] = 1, #1 : 20대 dataset.loc[(dataset['Age'] > 29) & (dataset['Age'] <= 39), 'Age'] = 2, #2 : 30대 dataset.loc[(dataset['Age'] > 39) & (dataset['Age'] <= 49), 'Age'] = 3, #3 : 40대 dataset.loc[(dataset['Age'] > 49) & (dataset['Age'] <= 59), 'Age'] = 4, #4 : 50대 dataset.loc[dataset['Age'] > 59, 'Age'] = 5, #5 : 50대이상 # print(train.groupby('Survived')['Age'].value_counts()) # bar_chart('Age') # plt.show()

[ "kimminjong0211@gmail.com" ]

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import flask from flask import Response from pypi_vm.infrastructure import cookie_auth from pypi_vm.infrastructure.view_modifiers import response from pypi_vm.services import user_service from pypi_vm.viewmodels.account.account_home_viewmodel import AccountHomeViewModel from pypi_vm.viewmodels.account.login_viewmodel import LoginViewModel from pypi_vm.viewmodels.account.register_viewmodel import RegisterViewModel blueprint = flask.Blueprint('account', __name__, template_folder='templates') # ################### INDEX ################################# @blueprint.route('/account') @response(template_file='account/index.html') def index(): vm = AccountHomeViewModel() if not vm.user: return flask.redirect('/account/login') return vm.to_dict() # ################### REGISTER ################################# @blueprint.route('/account/register', methods=['GET']) @response(template_file='account/register.html') def register_get(): vm = RegisterViewModel() return vm.to_dict() @blueprint.route('/account/register', methods=['POST']) @response(template_file='account/register.html') def register_post(): vm = RegisterViewModel() vm.validate() if vm.error: return vm.to_dict() # create user user = user_service.create_user(vm.email, vm.name, vm.password) response_val: Response = flask.make_response() cookie_auth.set_auth(response_val, user.id) return flask.redirect('/account', Response=response_val) # ################### LOGIN ################################# @blueprint.route('/account/login', methods=['GET']) @response(template_file='account/login.html') def login_get(): vm = LoginViewModel() return vm.to_dict() @blueprint.route('/account/login', methods=['POST']) @response(template_file='account/login.html') def login_post(): vm = LoginViewModel() vm.validate() if vm.error: return vm.to_dict() headers = dict(Location='/account') response_val: Response = flask.Response(status=302, headers=headers) cookie_auth.set_auth(response_val, vm.user.id) return response_val # ################### LOGOUT ################################# @blueprint.route('/account/logout') def logout(): headers = dict(Location='/') response_val: Response = flask.Response(status=302, headers=headers) cookie_auth.logout(response_val) return response_val

[ "mikeckennedy@gmail.com" ]

mikeckennedy@gmail.com

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""" WSGI config for djangomysqlrestcrudswagger project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'djangomysqlrestcrudswagger.settings') application = get_wsgi_application()

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# 練習 Hello World，註解符號 print("Hello World") """ 單行註解，井字號大段落文字的註解，三個引號 """ a = 3 b = 7 c = a * b print(a, "*", b, "=", c) print(7%3) name = "Vincent " print("My name is ", name) # 同時可設定多個變數 a, b = 3, 7 # 練習題：如何做兩數交換？

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from django.contrib import admin from django.urls import path from . import views urlpatterns = [ path('',views.home, name='home'), ]

[ "you@example.com" ]

you@example.com

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"""pdb_demo_trace.py - Example of pdb from chapter 4""" import pdb class PdbDemo(object): def __init__(self, name, num_loops): self._name = name self._count = num_loops def count(self): for i in range(self._count): pdb.set_trace() print(i) return '{} executed {} of {} loops'\ .format(self._name, i+1, self._count) if __name__ == '__main__': obj_name = 'pdb demo' print('Starting ' + obj_name + '...') pd = PdbDemo(obj_name, 5) result = pd.count() print(result)

[ "michaelw@articulatedesign.us.com" ]

michaelw@articulatedesign.us.com

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tachyon83/code-rhino

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import sys si = sys.stdin.readline d, p, c, f, s = [int(e) for e in si().split()] g, earnings = [[] for _ in range(c+1)], [0 for _ in range(c+1)] while p: p -= 1 a, b = [int(e) for e in si().split()] g[a].append([b, 0]) while f: f -= 1 a, b, w = [int(e) for e in si().split()] g[a].append([b, w]) earnings[s], flag = d, False for i in range(c): for city in range(c+1): for np in g[city]: if earnings[np[0]] < d-np[1]+earnings[city]: earnings[np[0]] = d-np[1]+earnings[city] if i == c-1: flag = True if flag: print(-1) else: print(max(earnings))

[ "noreply@github.com" ]

tachyon83.noreply@github.com

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Jegp/spike_conv_nets

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import numpy as np import matplotlib.pyplot as plt dumps_per_rate = { 5: [0, 0, 0, 0, 0, 0, 4, 6], 10: [0, 0, 0, 0, 0, 0, 9, 37], 25: [0, 0, 1, 181, 1204, 3426, 6153, 8864], 50: [0, 68, 2174, 7877, 13170, 18043, 22405, 26850], 100: [0, 5580, 16308, 25460, 33980, 42078, 53812, 61430], 150: [111, 14327, 28150, 40500, 56905, 64934, 71760, 78475], 200: [1604, 22257, 38695, 58896, 68124, 77028, 85174, 94407], } x_ticks = sorted(dumps_per_rate.keys()) dumps_per_input = {i+1: [] for i in range(len(dumps_per_rate[5]))} for k in x_ticks: for i, v in enumerate(dumps_per_rate[k]): dumps_per_input[i+1].append(v) fig, ax = plt.subplots(1, 1, figsize=(10, 6)) plt.axhspan(38000, 56000, color='orange', label="Back pressure", alpha=0.25) plt.axhspan(56000, 95000, color='red', label="Dead", alpha=0.25) for i in dumps_per_input: ax.semilogy(x_ticks, dumps_per_input[i], label="{} sources".format(i), marker='.', linewidth=2) ax.set_xticks(x_ticks) ax.set_xlabel("Input rate (Hz)") ax.set_ylabel("Dumped spikes") plt.legend(bbox_to_anchor=(1.01, 1), loc='upper left') plt.grid() plt.tight_layout() plt.savefig("dumped_spikes_per_input_rate_and_num_sources.pdf") plt.show()

[ "chanokin@gmail.com" ]

chanokin@gmail.com

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xinghun61/infra

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2023-01-12T21:36:49.360274

2019-10-01T18:09:22

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# Copyright 2016 The Chromium Authors. All rights reserved. # Use of this source code is governed by a BSD-style license that can be # found in the LICENSE file. DEPS = [ 'depot_tools/bot_update', 'depot_tools/gclient', 'infra_checkout', 'recipe_engine/buildbucket', 'recipe_engine/cipd', 'recipe_engine/context', 'recipe_engine/path', 'recipe_engine/platform', 'recipe_engine/properties', 'recipe_engine/step', ] def RunSteps(api): assert api.platform.is_linux, 'Unsupported platform, only Linux is supported.' cl = api.buildbucket.build.input.gerrit_changes[0] project_name = cl.project assert project_name in ('infra/infra', 'infra/infra_internal'), ( 'unknown project: "%s"' % project_name) patch_root = project_name.split('/')[-1] internal = (patch_root == 'infra_internal') api.gclient.set_config(patch_root) api.bot_update.ensure_checkout(patch_root=patch_root) api.gclient.runhooks() packages_dir = api.path['start_dir'].join('packages') ensure_file = api.cipd.EnsureFile() ensure_file.add_package('infra/nodejs/nodejs/${platform}', 'node_version:10.15.3') api.cipd.ensure(packages_dir, ensure_file) node_path = api.path['start_dir'].join('packages', 'bin') env = { 'PATH': api.path.pathsep.join([str(node_path), '%(PATH)s']) } if internal: RunInfraInternalFrontendTests(api, env) else: RunInfraFrontendTests(api, env) def RunInfraInternalFrontendTests(api, env): cwd = api.path['checkout'].join('appengine', 'chromiumdash') with api.context(env=env, cwd=cwd): api.step('chromiumdash npm install', ['npm', 'ci']) api.step('chromiumdash bower install', ['npx', 'bower', 'install']) api.step( 'chromiumdash run-wct', ['npx', 'run-wct', '--dep', 'third_party']) api.step( 'chromiumdash generate js coverage report', ['npx', 'nyc', 'report']) def RunInfraFrontendTests(api, env): cwd = api.path['checkout'].join('appengine', 'findit') with api.context(env=env, cwd=cwd): api.step('findit npm install', ['npm', 'ci']) api.step('findit run-wct', ['npx', 'run-wct', '--base', 'ui/', '--dep', 'third_party']) api.step('findit generate js coverage report', ['npx', 'nyc', 'report']) cwd = api.path['checkout'].join('crdx', 'chopsui') with api.context(env=env, cwd=cwd): api.step('chopsui npm install', ['npm', 'ci']) api.step('chopsui bower install', ['npx', 'bower', 'install']) api.step('chopsui run-wct', ['npx', 'run-wct', '--prefix', 'test', '--dep', 'bower_components']) api.step('chopsui generate js coverage report', ['npx', 'nyc', 'report']) cwd = api.path['checkout'].join('appengine', 'monorail') RunFrontendTests(api, env, cwd, 'monorail') cwd = api.path['checkout'].join('go', 'src', 'infra', 'appengine', 'dashboard', 'frontend') RunFrontendTests(api, env, cwd, 'chopsdash') cwd = api.path['checkout'].join('go', 'src', 'infra', 'appengine', 'sheriff-o-matic', 'frontend') with api.context(env=env, cwd=cwd): api.step('sheriff-o-matic npm install', ['npm', 'ci']) api.step('sheriff-o-matic bower install', ['npx', 'bower', 'install']) api.step('sheriff-o-matic run-wct', ['npx', 'run-wct']) api.step('sheriff-o-matic generate js coverage report', ['npx', 'nyc', 'report']) def RunFrontendTests(api, env, cwd, app_name): with api.context(env=env, cwd=cwd): api.step(('%s npm install' % app_name), ['npm', 'ci']) api.step(('%s test' % app_name), ['npm', 'run', 'test']) def GenTests(api): yield ( api.test('basic') + api.buildbucket.try_build(project='infra/infra')) yield ( api.test('basic-internal') + api.buildbucket.try_build(project='infra/infra_internal'))

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commit-bot@chromium.org

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Los4U/sudoku_in_python

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row1 = [0,0,0,0,0,0,0,0,0] row2 = [0,0,0,5,0,6,0,0,0] row3 = [0,0,1,0,0,0,0,3,0] row4 = [0,9,5,0,0,0,2,0,0] row5 = [0,0,0,0,0,1,6,0,7] row6 = [1,0,6,0,0,9,0,0,5] row7 = [7,0,0,8,0,3,9,0,0] row8 = [0,3,8,9,0,0,0,2,0] row9 = [0,5,0,0,2,0,7,0,0] print(row1) print(row2) print(row3) print("") print(row4) print(row5) print(row6) print("") print(row7) print(row8) print(row9) while True: x = input("Wprowadz x y z:") try: if int(x[0])==1: row1[int(x[2])-1]=x[4] print("ok") except ValueError: # przechwytuje wyjątek literę i kończy program. print("Wprowadz cyfrę!") continue r11 = row1[0:3] r12 = row1[3:6] r13 = row1[6:9] print(r11) print(*r11, +"-"+,*r12, +"-"+, *r13, sep=' ' ) print(row2) print(row3) print(""), print(row4) print(row5) print(row6) print("") print(row7) print(row8) print(row9) #print(new) #rds.insert(index, "is")

[ "inz.kamil.wos@gmail.com" ]

inz.kamil.wos@gmail.com

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huaweicloud/huaweicloud-sdk-python-v3

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# coding: utf-8 import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class CreateFirewallRequest: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { 'body': 'CreateFirewallRequestBody' } attribute_map = { 'body': 'body' } def __init__(self, body=None): """CreateFirewallRequest The model defined in huaweicloud sdk :param body: Body of the CreateFirewallRequest :type body: :class:`huaweicloudsdkiec.v1.CreateFirewallRequestBody` """ self._body = None self.discriminator = None if body is not None: self.body = body @property def body(self): """Gets the body of this CreateFirewallRequest. :return: The body of this CreateFirewallRequest. :rtype: :class:`huaweicloudsdkiec.v1.CreateFirewallRequestBody` """ return self._body @body.setter def body(self, body): """Sets the body of this CreateFirewallRequest. :param body: The body of this CreateFirewallRequest. :type body: :class:`huaweicloudsdkiec.v1.CreateFirewallRequestBody` """ self._body = body def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: if attr in self.sensitive_list: result[attr] = "****" else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" import simplejson as json if six.PY2: import sys reload(sys) sys.setdefaultencoding("utf-8") return json.dumps(sanitize_for_serialization(self), ensure_ascii=False) def __repr__(self): """For `print`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, CreateFirewallRequest): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "hwcloudsdk@huawei.com" ]

hwcloudsdk@huawei.com

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rafaelperazzo/programacao-web

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refs/heads/master

2021-01-12T14:06:25.773146

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# -*- coding: utf-8 -*- from __future__ import division def crescente (lista): c = 0 for i in range(0, len(lista) - 1, 1): if (lista[i] > lista[i+1]): c = c + 1 if c == 0: return True else: return False def decrescente (lista): c = 0 for i in range (0, len(lista)-1, 1): if(lista[i] < lista[i+1]): c = c + 1 if c == 0: return True else: return False def iguais(lista): c = 0 for i in range(0, len(lista) - 1, 1): if(lista[i] == lista[i+1]): c = c + 1 if c!=0: return True else: return False def insere_lista(lista, n): for i in range(0, n, 1): lista.append(input('Digite o elemento:')) return lista n = int(input('Digite o número de elementos da lista:')) a = [] b = [] c = [] print('Preencha a lista 1:') a = insere_lista(a, n) print('Preencha a lista 2:') b = insere_lista(b, n) print('Preencha a lista 3:') c = insere_lista(c, n) if crescente(a): print('S') print('N') print('N') else: print('N') if decrescente(a): print ('S') print('N') else: print('N') if iguais(a): print('S') else: print('N') if crescente(b): print('S') print('N') print('N') else: print('N') if decrescente(b): print ('S') print('N') else: print('N') if iguais(b): print('S') else: print('N') if crescente(c): print('S') print('N') print('N') else: print('N') if decrescente(c): print ('S') print('N') else: print('N') if iguais(c): print('S') else: print('N')

[ "rafael.mota@ufca.edu.br" ]

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cash2one/xai

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refs/heads/master

2021-01-19T12:33:54.964379

2017-01-28T02:00:50

null

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#calss header class _PITCHER(): def __init__(self,): self.name = "PITCHER" self.definitions = [u'a large, round container for liquids that has a flat base, a handle, and a very narrow raised opening at the top for pouring: ', u'a container for holding liquids that has a handle and a shaped opening at the top for pouring: ', u'a player who pitches the ball in a baseball game'] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'nouns' def run(self, obj1 = [], obj2 = []): return self.jsondata

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

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"""Server notifying of module connections.""" import asyncio import logging from typing import Dict, Set from opentrons.hardware_control.emulation.module_server.models import ( ModuleConnection, Message, ) from opentrons.hardware_control.emulation.proxy import ProxyListener from opentrons.hardware_control.emulation.settings import ModuleServerSettings from typing_extensions import Final log = logging.getLogger(__name__) MessageDelimiter: Final = b"\n" class ModuleStatusServer(ProxyListener): """The module status server is the emulator equivalent of inotify. A client can know when an emulated module connects or disconnects. Clients connect and read JSON messages (See models module). """ def __init__(self, settings: ModuleServerSettings) -> None: """Constructor Args: settings: app settings """ self._settings = settings self._connections: Dict[str, ModuleConnection] = {} self._clients: Set[asyncio.StreamWriter] = set() def on_server_connected( self, server_type: str, client_uri: str, identifier: str ) -> None: """Called when a new module has connected. Args: server_type: the type of module client_uri: the url string for a driver to connect to identifier: unique id for connection Returns: None """ log.info(f"On connected {server_type} {client_uri} {identifier}") connection = ModuleConnection( module_type=server_type, url=client_uri, identifier=identifier ) self._connections[identifier] = connection for c in self._clients: c.write( Message(status="connected", connections=[connection]).json().encode() ) c.write(b"\n") def on_server_disconnected(self, identifier: str) -> None: """Called when a module has disconnected. Args: identifier: unique id for the connection Returns: None """ log.info(f"On disconnected {identifier}") try: connection = self._connections[identifier] del self._connections[identifier] for c in self._clients: c.write( Message(status="disconnected", connections=[connection]) .json() .encode() ) c.write(MessageDelimiter) except KeyError: log.exception("Failed to find identifier") async def run(self) -> None: """Run the server.""" server = await asyncio.start_server( self._handle_connection, host=self._settings.host, port=self._settings.port ) await server.serve_forever() async def _handle_connection( self, reader: asyncio.StreamReader, writer: asyncio.StreamWriter ) -> None: """Handle a client connection to the server.""" log.info("Client connected to module server.") # A client connected. Send a dump of all connected modules. m = Message(status="dump", connections=list(self._connections.values())) writer.write(m.json().encode()) writer.write(MessageDelimiter) self._clients.add(writer) while True: if b"" == await reader.read(): self._clients.remove(writer) break log.info("Client disconnected from module server.")

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/venv/Lib/site-packages/scrapy/selector/lxmlsel.py

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""" XPath selectors based on lxml """ from scrapy.utils.deprecate import create_deprecated_class from .unified import Selector, SelectorList __all__ = ['HtmlXPathSelector', 'XmlXPathSelector', 'XPathSelector', 'XPathSelectorList'] def _xpathselector_css(self, *a, **kw): raise RuntimeError('.css() method not available for %s, ' 'instantiate scrapy.Selector ' 'instead' % type(self).__name__) XPathSelector = create_deprecated_class( 'XPathSelector', Selector, { '__slots__': (), '_default_type': 'html', 'css': _xpathselector_css, }, new_class_path='scrapy.Selector', old_class_path='scrapy.selector.XPathSelector', ) XmlXPathSelector = create_deprecated_class( 'XmlXPathSelector', XPathSelector, clsdict={ '__slots__': (), '_default_type': 'xml', }, new_class_path='scrapy.Selector', old_class_path='scrapy.selector.XmlXPathSelector', ) HtmlXPathSelector = create_deprecated_class( 'HtmlXPathSelector', XPathSelector, clsdict={ '__slots__': (), '_default_type': 'html', }, new_class_path='scrapy.Selector', old_class_path='scrapy.selector.HtmlXPathSelector', ) XPathSelectorList = create_deprecated_class('XPathSelectorList', SelectorList)

[ "teadone@naver.com" ]

teadone@naver.com

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/mlfromscratch/unsupervised_learning/genetic_algorithm.py

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permissive

lyrl/ML-From-Scratch

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refs/heads/master

2021-06-27T19:27:08.053663

2017-09-15T08:43:55

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import string import numpy as np class GeneticAlgorithm(): """An implementation of a Genetic Algorithm which will try to produce the user specified target string. Parameters: ----------- target_string: string The string which the GA should try to produce. population_size: int The number of individuals (possible solutions) in the population. mutation_rate: float The rate (or probability) of which the alleles (chars in this case) should be randomly changed. """ def __init__(self, target_string, population_size, mutation_rate): self.target = target_string self.population_size = population_size self.mutation_rate = mutation_rate self.letters = [" "] + list(string.letters) def _initialize(self): """ Initialize population with random strings """ self.population = [] for _ in range(self.population_size): # Select random letters as new individual individual = "".join(np.random.choice(self.letters, size=len(self.target))) self.population.append(individual) def _calculate_fitness(self): """ Calculates the fitness of each individual in the population """ population_fitness = [] for individual in self.population: # Calculate loss as the alphabetical distance between # the characters in the individual and the target string loss = 0 for i in range(len(individual)): letter_i1 = self.letters.index(individual[i]) letter_i2 = self.letters.index(self.target[i]) loss += abs(letter_i1 - letter_i2) fitness = 1 / (loss + 1e-6) population_fitness.append(fitness) return population_fitness def _mutate(self, individual): """ Randomly change the individual's characters with probability self.mutation_rate """ individual = list(individual) for j in range(len(individual)): # Make change with probability mutation_rate if np.random.random() < self.mutation_rate: individual[j] = np.random.choice(self.letters) # Return mutated individual as string return "".join(individual) def _crossover(self, parent1, parent2): """ Create children from parents by crossover """ # Select random crossover point cross_i = np.random.randint(0, len(parent1)) child1 = parent1[:cross_i] + parent2[cross_i:] child2 = parent2[:cross_i] + parent1[cross_i:] return child1, child2 def run(self, iterations): # Initialize new population self._initialize() for epoch in range(iterations): population_fitness = self._calculate_fitness() fittest_individual = self.population[np.argmax(population_fitness)] highest_fitness = max(population_fitness) # If we have found individual which matches the target => Done if fittest_individual == self.target: break # Set the probabilities that the individuals should be selected as parents # proportionate to the individuals fitness parent_probs = [fitness / sum(population_fitness) for fitness in population_fitness] # Determine the next generation new_population = [] for i in np.arange(0, self.population_size, 2): # Select two parents randomly according to probabilities parents = np.random.choice(self.population, size=2, p=parent_probs, replace=False) # Perform crossover to produce offspring child1, child2 = self._crossover(parents[0], parents[1]) # Save mutated offspring for next generation new_population += [self._mutate(child1), self._mutate(child2)] print ("[%d Closest Candidate: '%s', Fitness: %.2f]" % (epoch, fittest_individual, highest_fitness)) self.population = new_population print ("[%d Answer: '%s']" % (epoch, fittest_individual)) def main(): target_string = "Genetic Algorithm" population_size = 100 mutation_rate = 0.05 genetic_algorithm = GeneticAlgorithm(target_string, population_size, mutation_rate) print ("") print ("+--------+") print ("| GA |") print ("+--------+") print ("Description: Implementation of a Genetic Algorithm which aims to produce") print ("the user specified target string. This implementation calculates each") print ("candidate's fitness based on the alphabetical distance between the candidate") print ("and the target. A candidate is selected as a parent with probabilities proportional") print ("to the candidate's fitness. Reproduction is implemented as a single-point") print ("crossover between pairs of parents. Mutation is done by randomly assigning") print ("new characters with uniform probability.") print ("") print ("Parameters") print ("----------") print ("Target String: '%s'" % target_string) print ("Population Size: %d" % population_size) print ("Mutation Rate: %s" % mutation_rate) print ("") genetic_algorithm.run(iterations=1000) if __name__ == "__main__": main()

[ "eriklindernoren@live.se" ]

eriklindernoren@live.se

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2021-09-17T12:09:40

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import os print(os.name) print(os.uname()) print(os.getlogin()) print(os.getcwd()) print(os.getppid()) path_to_directory = "/Users/ishantkumar/Downloads/profilepage" path_to_file = "/Users/ishantkumar/Downloads/Ishant.pdf" print(os.path.isdir(path_to_directory)) print(os.path.isfile(path_to_file)) # path_to_directory = "/Users/ishantkumar/Downloads/GW2020PY1" # os.mkdir(path_to_directory) files = os.walk(path_to_directory) files = list(files) for file in files: print(file) for data in files[0]: print(data, len(data)) print("Directories:", len(files[0][1])) print("Files:", len(files[0][2])) # Mini Project: File Explorer -> Extract different types of files :)

[ "er.ishant@gmail.com" ]

er.ishant@gmail.com

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/ultracart/models/coupon_amount_off_subtotal_with_items_purchase.py

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UltraCart/rest_api_v2_sdk_python

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2023-08-31T12:52:10

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# coding: utf-8 """ UltraCart Rest API V2 UltraCart REST API Version 2 # noqa: E501 OpenAPI spec version: 2.0.0 Contact: support@ultracart.com Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re # noqa: F401 import six class CouponAmountOffSubtotalWithItemsPurchase(object): """NOTE: This class is auto generated by the swagger code generator program. Do not edit the class manually. """ """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'currency_code': 'str', 'discount_amount': 'float', 'items': 'list[str]', 'required_purchase_quantity': 'int' } attribute_map = { 'currency_code': 'currency_code', 'discount_amount': 'discount_amount', 'items': 'items', 'required_purchase_quantity': 'required_purchase_quantity' } def __init__(self, currency_code=None, discount_amount=None, items=None, required_purchase_quantity=None): # noqa: E501 """CouponAmountOffSubtotalWithItemsPurchase - a model defined in Swagger""" # noqa: E501 self._currency_code = None self._discount_amount = None self._items = None self._required_purchase_quantity = None self.discriminator = None if currency_code is not None: self.currency_code = currency_code if discount_amount is not None: self.discount_amount = discount_amount if items is not None: self.items = items if required_purchase_quantity is not None: self.required_purchase_quantity = required_purchase_quantity @property def currency_code(self): """Gets the currency_code of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 The ISO-4217 three letter currency code the customer is viewing prices in # noqa: E501 :return: The currency_code of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :rtype: str """ return self._currency_code @currency_code.setter def currency_code(self, currency_code): """Sets the currency_code of this CouponAmountOffSubtotalWithItemsPurchase. The ISO-4217 three letter currency code the customer is viewing prices in # noqa: E501 :param currency_code: The currency_code of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :type: str """ if currency_code is not None and len(currency_code) > 3: raise ValueError("Invalid value for `currency_code`, length must be less than or equal to `3`") # noqa: E501 self._currency_code = currency_code @property def discount_amount(self): """Gets the discount_amount of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 The amount of shipping discount # noqa: E501 :return: The discount_amount of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :rtype: float """ return self._discount_amount @discount_amount.setter def discount_amount(self, discount_amount): """Sets the discount_amount of this CouponAmountOffSubtotalWithItemsPurchase. The amount of shipping discount # noqa: E501 :param discount_amount: The discount_amount of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :type: float """ self._discount_amount = discount_amount @property def items(self): """Gets the items of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 A list of items of which a quantity of one or many must be purchased for coupon to be valid. # noqa: E501 :return: The items of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :rtype: list[str] """ return self._items @items.setter def items(self, items): """Sets the items of this CouponAmountOffSubtotalWithItemsPurchase. A list of items of which a quantity of one or many must be purchased for coupon to be valid. # noqa: E501 :param items: The items of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :type: list[str] """ self._items = items @property def required_purchase_quantity(self): """Gets the required_purchase_quantity of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 The quantity of items that must be purchased for the discount to be applied. # noqa: E501 :return: The required_purchase_quantity of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :rtype: int """ return self._required_purchase_quantity @required_purchase_quantity.setter def required_purchase_quantity(self, required_purchase_quantity): """Sets the required_purchase_quantity of this CouponAmountOffSubtotalWithItemsPurchase. The quantity of items that must be purchased for the discount to be applied. # noqa: E501 :param required_purchase_quantity: The required_purchase_quantity of this CouponAmountOffSubtotalWithItemsPurchase. # noqa: E501 :type: int """ self._required_purchase_quantity = required_purchase_quantity def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(CouponAmountOffSubtotalWithItemsPurchase, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, CouponAmountOffSubtotalWithItemsPurchase): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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perry@ultracart.com

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/_google_app_engine-projects/django-gae2django/django/core/management/color.py

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raychorn/svn_python-django-projects

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""" Sets up the terminal color scheme. """ import sys from django.utils import termcolors def supports_color(): """ Returns True if the running system's terminal supports color, and False otherwise. """ unsupported_platform = (sys.platform in ('win32', 'Pocket PC')) # isatty is not always implemented, #6223. is_a_tty = hasattr(sys.stdout, 'isatty') and sys.stdout.isatty() if unsupported_platform or not is_a_tty: return False return True def color_style(): """Returns a Style object with the Django color scheme.""" if not supports_color(): return no_style() class dummy: pass style = dummy() style.ERROR = termcolors.make_style(fg='red', opts=('bold',)) style.ERROR_OUTPUT = termcolors.make_style(fg='red', opts=('bold',)) style.NOTICE = termcolors.make_style(fg='red') style.SQL_FIELD = termcolors.make_style(fg='green', opts=('bold',)) style.SQL_COLTYPE = termcolors.make_style(fg='green') style.SQL_KEYWORD = termcolors.make_style(fg='yellow') style.SQL_TABLE = termcolors.make_style(opts=('bold',)) return style def no_style(): """Returns a Style object that has no colors.""" class dummy: def __getattr__(self, attr): return lambda x: x return dummy()

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raychorn@gmail.com

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/backendapi/prescription/serializers.py

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[]

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mahidulmoon/djreact-smart-medic

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from rest_framework import serializers from .models import Prescription class PrescriptionSerializer(serializers.ModelSerializer): class Meta: model=Prescription fields="__all__"

[ "mahidulmoon@gmail.com" ]

mahidulmoon@gmail.com

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for license information. # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is regenerated. # -------------------------------------------------------------------------- from azure.identity import DefaultAzureCredential from azure.mgmt.sql import SqlManagementClient """ # PREREQUISITES pip install azure-identity pip install azure-mgmt-sql # USAGE python server_advanced_threat_protection_settings_create_min.py Before run the sample, please set the values of the client ID, tenant ID and client secret of the AAD application as environment variables: AZURE_CLIENT_ID, AZURE_TENANT_ID, AZURE_CLIENT_SECRET. For more info about how to get the value, please see: https://docs.microsoft.com/azure/active-directory/develop/howto-create-service-principal-portal """ def main(): client = SqlManagementClient( credential=DefaultAzureCredential(), subscription_id="00000000-1111-2222-3333-444444444444", ) response = client.server_advanced_threat_protection_settings.begin_create_or_update( resource_group_name="threatprotection-4799", server_name="threatprotection-6440", advanced_threat_protection_name="Default", parameters={"properties": {"state": "Disabled"}}, ).result() print(response) # x-ms-original-file: specification/sql/resource-manager/Microsoft.Sql/preview/2021-11-01-preview/examples/ServerAdvancedThreatProtectionSettingsCreateMin.json if __name__ == "__main__": main()

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no_license

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# -*- coding: utf-8 -*- # # michael a.g. aïvázis <michael.aivazis@para-sim.com> # (c) 1998-2022 all rights reserved class Composite: """ Mix-in class that provides an implementation of the subset of the interface of {Node} that requires traversal of the expression graph rooted at nodes with dependencies. This class assumes that its instances provide {operands}, a tuple of their dependencies on other nodes """ # types from .exceptions import CircularReferenceError # interface @property def operands(self): """ A sequence of my direct dependents """ # the default implementation stores my operands in a private member return self._operands @operands.setter def operands(self, operands): """ Adjust my operands """ # process the incoming sequence and save self._operands = self._store(self._ingest(operands=operands)) # all done return @property def span(self): """ Return a sequence over my entire dependency graph """ # i am a node in my dependency graph yield self # go through my operands for operand in self.operands: # and ask them for their span yield from operand.span # all done return # classifiers @property def literals(self): """ Return a sequence over the nodes in my dependency graph that encapsulate foreign objects """ # go through my operands for operand in self.operands: # and ask them for literals in their span yield from operand.literals # all done return @property def operators(self): """ Return a sequence over the composite nodes in my dependency graph """ # i am one yield self # go through my operands for operand in self.operands: # and ask them for operators in their span yield from operand.operators # all done return @property def variables(self): """ Return a sequence over the variables in my dependency graph """ # go through my operands for operand in self.operands: # and ask them for variables in their span yield from operand.variables # all done return # structural classifiers @property def leaves(self): """ Return a sequence over the leaves in my dependency graph """ # go through my operands: for operand in self.operands: # and ask them for leaves in their span yield from operand.leaves # all done return @property def composites(self): """ Return a sequence over the composites in my dependency graph """ # i am one yield self # go through my operands: for operand in self.operands: # and ask them for leaves in their span yield from operand.composites # all done return # metamethods def __init__(self, operands, **kwds): # chain up super().__init__(**kwds) # save my direct dependencies self.operands = operands # all done return # implementation details def _ingest(self, operands): """ Convert {operands} into nodes """ # go through operands for operand in operands: # if this is not a node instance if not isinstance(operand, self.node): # make it a literal operand = self.literal(value=operand) # hand it off yield operand # all done return def _substitute(self, current, replacement, clean): """ Adjust the operands by substituting {replacement} for {current} in the sequence of operands """ # if i'm the one being replaced if current is self: # just return the {replacement} return replacement # if i'm among the {clean} nodes if self in clean: # do nothing return self # add me to the clean pile clean.add(self) # otherwise, make a pile for my potentially adjusted operands operands = [] # initially, i am not known to have replaced any of my operands modified = False # go through my operands for op in self.operands: # if this one is marked {clean} if op in clean: # add it to the list of operands operands.append(op) # and carry on continue # otherwise, ask it to perform the substitution r = op._substitute(current=current, replacement=replacement, clean=clean) # add it or its replacement to the pile operands.append(r) # record whether an update was performed modified |= (r is not op) # if any substitutions were made if modified: # replace my operands self.operands = operands # all done return self # the default storage mechanism for operands _store = tuple # storage for the operands _operands = () # end of file

[ "michael.aivazis@para-sim.com" ]

michael.aivazis@para-sim.com

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/Searching Algorithms/binary_search.py

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nayanika2304/DataStructuresPractice

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''' Compare x with the middle element. If x matches with middle element, we return the mid index. Else If x is greater than the mid element, then x can only lie in right half subarray after the mid element. So we recur for right half. Else (x is smaller) recur for the left half. ''' # Python3 Program for recursive binary search. ''' takes the number to search, array, l= start r= length ''' # Returns index of x in arr if present, else -1 def binarySearch(arr, l, r, x): print(l,r) # Check base case if r >= l: mid = l + (r - l) // 2 # If element is present at the middle itself if arr[mid] == x: return mid # If element is smaller than mid, then it # can only be present in left subarray elif arr[mid] > x: return binarySearch(arr, l, mid - 1, x) # Else the element can only be present # in right subarray else: return binarySearch(arr, mid + 1, r, x) else: # Element is not present in the array return -1 # Driver Code arr = [2, 3, 4, 10, 40] x = 10 # Function call result = binarySearch(arr, 0, len(arr) - 1, x) if result != -1: print("Element is present at index % d" % result) else: print("Element is not present in array")

[ "nayanikabhargava1993@gmail.com" ]

nayanikabhargava1993@gmail.com

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/코딩테스트(책)/problems/3.dfs_bfs/6.감시피하기_x.py

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young31/Algorithm

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2021-11-04T14:01:53.827508

2021-10-25T06:35:24

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# input n1 = 5 arr1 = [ [0, 1, 0, 0, 2], [2, 0, 1, 0, 0], [0, 0, 0, 0, 0], [0, 2, 0, 0, 0], [0, 0, 2, 0, 0] ] n2 = 4 arr2 = [ [1, 1, 1, 2], [0, 0, 0, 0], [0, 0, 0, 0], [2, 2, 2, 0] ] # answer: yes # algo def search(arr, x, y, move): n = len(arr) res = [] is_T = False if move == 0: dx, dy = 1, 0 elif move == 1: dx, dy = -1, 0 elif move == 2: dx, dy = 0, 1 elif move == 3: dx, dy = 0, -1 tmp = [] while 1: nx = x+dx ny = y+dy if not is_feasible(n, nx, ny): break else: if arr[nx][ny] == 0: tmp.append((nx, ny)) elif arr[nx][ny] == 2: is_T = True break x, y = nx, ny if is_T: if tmp: res += tmp else: # 선생이 있는데 막을 방법이 없으면 긴급상황(무조건 못 피함) return 'FLAG' return res def is_feasible(n, x, y): if 0 <= x < n and 0 <= y < n: return True return False def main(n, arr): students = [] for i in range(n): for j in range(n): if arr[i][j] == 1: students.append((i, j)) # 막을 구간을 생성해서 해당 구간을 모두 방어하면 회피 성공으로 해결 to_block = [] for i, j in students: for m in range(4): tmp = search(arr, i, j, m) if tmp == 'FLAG': return 'NO' if tmp: to_block.append(tmp) # 막을 곳이 남아 있는지 체크 remains = [True for _ in range(len(to_block))] n_block = 0 for ib, block in enumerate(to_block): if not block: continue hist_remove = [] # 해당 구간은 일단 막고 시작; 구간 내 몇개나 설치할 지는 아래에서 결정 if remains[ib]: remains[ib] = False for i, xy in enumerate(block): remove = False for ib_, block_ in enumerate(to_block[ib+1:], ib+1): # 공통 좌표가 있으면 해당 부분은 무조건 막고 진행; 해결된 구간도 함께 해결한 것으로 처리 if xy in block_: remains[ib_] = False remove = True block_.remove(xy) if n_block > 3: return 'NO' if remove: n_block += 1 hist_remove.append(remove) # 공통된 부분이 없다면 해당 구간만 해결 if sum(hist_remove) == 0: n_block += 1 if n_block <= 3 and sum(remains) == 0: return 'YES' else: return 'NO' print(main(n1, arr1)) print(main(n2, arr2))

[ "migael38317@gmail.com" ]

migael38317@gmail.com

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/tests/myapp/settings.py

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jamalex/django-nested-intervals

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refs/heads/master

2020-03-28T07:31:37.486839

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from __future__ import unicode_literals import os import django DIRNAME = os.path.dirname(__file__) DEBUG = True DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': 'db.sqlite3' } } INSTALLED_APPS = ( 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.messages', 'django.contrib.sessions', 'django.contrib.staticfiles', 'nested_intervals', 'myapp', ) STATIC_URL = '/static/' SECRET_KEY = 'abc123' MIDDLEWARE = [ 'django.middleware.common.CommonMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', ] TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] ROOT_URLCONF = 'myapp.urls'

[ "jamalex@gmail.com" ]

jamalex@gmail.com

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/chp03_oscillation/NOC_3_09_wave_b/NOC_3_09_wave_b.pyde

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kidult00/NatureOfCode-Examples-Python

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refs/heads/master

2021-05-11T04:47:53.999705

2018-03-07T15:54:12

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# The Nature of Code - Python Version # [kidult00](https://github.com/kidult00) def setup(): size(250, 200) smooth() global startAngle, angleVel startAngle = 0.0 angleVel = 0.2 def draw(): background(255) stroke(0) fill(0, 50) strokeWeight(2) global startAngle, angleVel startAngle += 0.015 angle = startAngle for x in range(0, width+1, 24): y = map(sin(angle), -1, 1, 0, height) ellipse(x, y, 48, 48) angle += angleVel

[ "sysulj@gmail.com" ]

sysulj@gmail.com

3ec8cdf29f18ab3b98ea97b5e714e0b0770ed1e6

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/src/core/w3af/w3af/plugins/attack/db/sqlmap/lib/request/direct.py

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ycc1746582381/webfuzzer

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refs/heads/master

2021-06-14T18:46:59.470232

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#!/usr/bin/env python """ Copyright (c) 2006-2015 sqlmap developers (http://sqlmap.org/) See the file 'doc/COPYING' for copying permission """ import time from extra.safe2bin.safe2bin import safecharencode from lib.core.agent import agent from lib.core.common import Backend from lib.core.common import calculateDeltaSeconds from lib.core.common import extractExpectedValue from lib.core.common import getCurrentThreadData from lib.core.common import getUnicode from lib.core.common import hashDBRetrieve from lib.core.common import hashDBWrite from lib.core.common import isListLike from lib.core.data import conf from lib.core.data import kb from lib.core.data import logger from lib.core.dicts import SQL_STATEMENTS from lib.core.enums import CUSTOM_LOGGING from lib.core.enums import DBMS from lib.core.enums import EXPECTED from lib.core.settings import UNICODE_ENCODING from lib.utils.timeout import timeout def direct(query, content=True): select = True query = agent.payloadDirect(query) query = agent.adjustLateValues(query) threadData = getCurrentThreadData() if Backend.isDbms(DBMS.ORACLE) and query.upper().startswith("SELECT ") and " FROM " not in query.upper(): query = "%s FROM DUAL" % query for sqlTitle, sqlStatements in SQL_STATEMENTS.items(): for sqlStatement in sqlStatements: if query.lower().startswith(sqlStatement) and sqlTitle != "SQL SELECT statement": select = False break if select and not query.upper().startswith("SELECT "): query = "SELECT %s" % query logger.log(CUSTOM_LOGGING.PAYLOAD, query) output = hashDBRetrieve(query, True, True) start = time.time() if not select and "EXEC " not in query.upper(): _ = timeout(func=conf.dbmsConnector.execute, args=(query,), duration=conf.timeout, default=None) elif not (output and "sqlmapoutput" not in query and "sqlmapfile" not in query): output = timeout(func=conf.dbmsConnector.select, args=(query,), duration=conf.timeout, default=None) hashDBWrite(query, output, True) elif output: infoMsg = "resumed: %s..." % getUnicode(output, UNICODE_ENCODING)[:20] logger.info(infoMsg) threadData.lastQueryDuration = calculateDeltaSeconds(start) if not output: return output elif content: if output and isListLike(output): if len(output[0]) == 1: output = [_[0] for _ in output] retVal = getUnicode(output, noneToNull=True) return safecharencode(retVal) if kb.safeCharEncode else retVal else: return extractExpectedValue(output, EXPECTED.BOOL)

[ "everping@outlook.com" ]

everping@outlook.com

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/.history/W5/mapsafood/settings_20201202154801.py

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NFEL/DjangoPaeez99

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2023-01-27T22:05:57.788049

2020-12-08T10:08:28

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""" Django settings for mapsafood project. Generated by 'django-admin startproject' using Django 3.1.2. For more information on this file, see https://docs.djangoproject.com/en/3.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.1/ref/settings/ """ from pathlib import Path import os # Build paths inside the project like this: BASE_DIR / 'subdir'. BASE_DIR = Path(__file__).resolve().parent.parent # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'wopis*_*o3rtlblge=mm)pb)*ynu66zc+wqt&bs8l2*v=z1g%$' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] LOGGING = { 'version': 1, 'handlers': { 'file': { 'level': 'DEBUG', 'class': 'logging.FileHandler', 'filename': '/tmp/django.log', } }, 'loggers': { 'django.db.backends': { 'level': 'DEBUG', 'handlers': ['file'], } } } # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'django_extensions', 'django.contrib.gis', 'user_profile', 'geolocation', 'restaurant', 'crispy_form' ] # DJANGO_ALLOW_ASYNC_UNSAFE = False os.environ["DJANGO_ALLOW_ASYNC_UNSAFE"] = "true" MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', # 'debug_toolbar.middleware.DebugToolbarMiddleware', ] INTERNAL_IPS = [ '127.0.0.1', ] ROOT_URLCONF = 'mapsafood.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [BASE_DIR / 'templates'], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'mapsafood.wsgi.application' # Database # https://docs.djangoproject.com/en/3.1/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.contrib.gis.db.backends.postgis', 'NAME': 'mapsafood', 'USER': 'nfel', 'PASSWORD': '1', 'HOST': 'localhost', 'PORT': '5432' } } # Password validation # https://docs.djangoproject.com/en/3.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.1/howto/static-files/ STATIC_URL = '/static/' STATICFILES_DIRS = [ BASE_DIR / "static", ] MEDIA_ROOT = BASE_DIR / 'media/' MEDIA_URL = '/media/'

[ "nfilsaraee@gmail.com" ]

nfilsaraee@gmail.com

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/blimgui/dist/pyglet/font/__init__.py

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# ---------------------------------------------------------------------------- # pyglet # Copyright (c) 2006-2008 Alex Holkner # Copyright (c) 2008-2022 pyglet contributors # All rights reserved. # # Redistribution and use in source and binary forms, with or without # modification, are permitted provided that the following conditions # are met: # # * Redistributions of source code must retain the above copyright # notice, this list of conditions and the following disclaimer. # * Redistributions in binary form must reproduce the above copyright # notice, this list of conditions and the following disclaimer in # the documentation and/or other materials provided with the # distribution. # * Neither the name of pyglet nor the names of its # contributors may be used to endorse or promote products # derived from this software without specific prior written # permission. # # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS # "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT # LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS # FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE # COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, # INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, # BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; # LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER # CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT # LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN # ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE # POSSIBILITY OF SUCH DAMAGE. # ---------------------------------------------------------------------------- """Load fonts. pyglet will automatically load any system-installed fonts. You can add additional fonts (for example, from your program resources) using :meth:`add_file` or :meth:`add_directory`. These fonts are then available in the same way as system-installed fonts:: from pyglet import font font.add_file('action_man.ttf') action_man = font.load('Action Man', 16) # or from pyglet import resource resource.add_font('action_man.ttf') action_man = font.load('Action Man') See the :mod:`pyglet.font.base` module for documentation on the base classes used by this package. """ import os import sys import weakref import pyglet from pyglet import gl if not getattr(sys, 'is_pyglet_doc_run', False): if pyglet.compat_platform == 'darwin': from pyglet.font.quartz import QuartzFont _font_class = QuartzFont elif pyglet.compat_platform in ('win32', 'cygwin'): from pyglet.libs.win32.constants import WINDOWS_7_OR_GREATER if WINDOWS_7_OR_GREATER: if pyglet.options["advanced_font_features"] is True: from pyglet.font.directwrite import Win32DirectWriteFont _font_class = Win32DirectWriteFont else: from pyglet.font.win32 import GDIPlusFont _font_class = GDIPlusFont else: from pyglet.font.win32 import GDIPlusFont _font_class = GDIPlusFont else: from pyglet.font.freetype import FreeTypeFont _font_class = FreeTypeFont def have_font(name): """Check if specified system font name is available.""" return _font_class.have_font(name) def load(name=None, size=None, bold=False, italic=False, stretch=False, dpi=None): """Load a font for rendering. :Parameters: `name` : str, or list of str Font family, for example, "Times New Roman". If a list of names is provided, the first one matching a known font is used. If no font can be matched to the name(s), a default font is used. In pyglet 1.1, the name may be omitted. `size` : float Size of the font, in points. The returned font may be an exact match or the closest available. In pyglet 1.1, the size may be omitted, and defaults to 12pt. `bold` : bool If True, a bold variant is returned, if one exists for the given family and size. `italic` : bool If True, an italic variant is returned, if one exists for the given family and size. `dpi` : float The assumed resolution of the display device, for the purposes of determining the pixel size of the font. Defaults to 96. :rtype: `Font` """ # Arbitrary default size if size is None: size = 12 if dpi is None: dpi = 96 # Find first matching name if type(name) in (tuple, list): for n in name: if _font_class.have_font(n): name = n break else: name = None # Locate or create font cache shared_object_space = gl.current_context.object_space if not hasattr(shared_object_space, 'pyglet_font_font_cache'): shared_object_space.pyglet_font_font_cache = weakref.WeakValueDictionary() shared_object_space.pyglet_font_font_hold = [] font_cache = shared_object_space.pyglet_font_font_cache font_hold = shared_object_space.pyglet_font_font_hold # Look for font name in font cache descriptor = (name, size, bold, italic, stretch, dpi) if descriptor in font_cache: return font_cache[descriptor] # Not in cache, create from scratch font = _font_class(name, size, bold=bold, italic=italic, stretch=stretch, dpi=dpi) # Save parameters for new-style layout classes to recover # TODO: add properties to the Font classes, so these can be queried: font.size = size font.bold = bold font.italic = italic font.stretch = stretch font.dpi = dpi # Cache font in weak-ref dictionary to avoid reloading while still in use font_cache[descriptor] = font # Hold onto refs of last three loaded fonts to prevent them being # collected if momentarily dropped. del font_hold[3:] font_hold.insert(0, font) return font def add_file(font): """Add a font to pyglet's search path. In order to load a font that is not installed on the system, you must call this method to tell pyglet that it exists. You can supply either a filename or any file-like object. The font format is platform-dependent, but is typically a TrueType font file containing a single font face. Note that to use a font added with this method, you should pass the face name (not the file name) to :meth::py:func:`pyglet.font.load` or any other place where you normally specify a font. :Parameters: `font` : str or file-like object Filename or file-like object to load fonts from. """ if isinstance(font, str): font = open(font, 'rb') if hasattr(font, 'read'): font = font.read() _font_class.add_font_data(font) def add_directory(directory): """Add a directory of fonts to pyglet's search path. This function simply calls :meth:`pyglet.font.add_file` for each file with a ``.ttf`` extension in the given directory. Subdirectories are not searched. :Parameters: `dir` : str Directory that contains font files. """ for file in os.listdir(directory): if file[-4:].lower() == '.ttf': add_file(os.path.join(directory, file)) __all__ = ('add_file', 'add_directory', 'load', 'have_font')

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/src/model_bank/dataset_2018_7_13_lcp_recognition_model.py

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lsy125/AE-signal-model

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refs/heads/master

2020-04-02T08:46:05.140848

2018-10-22T02:01:48

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from keras.layers import * from keras.models import Sequential, Model from keras.utils import plot_model from keras import regularizers # self lib from src.utils.helpers import direct_to_dir def lcp_recognition_binary_model(): visible_in = Input(shape=(6000, 1)) conv_1 = Conv1D(5, kernel_size=5, activation='relu')(visible_in) maxpool_1 = MaxPooling1D(pool_size=3, strides=2)(conv_1) dropout_1 = Dropout(0.4)(maxpool_1) conv_2 = Conv1D(20, kernel_size=5, activation='relu')(dropout_1) maxpool_2 = MaxPooling1D(pool_size=3, strides=2)(conv_2) conv_3 = Conv1D(32, kernel_size=5, activation='relu')(maxpool_2) maxpool_3 = MaxPooling1D(pool_size=3, strides=2)(conv_3) flatten = Flatten()(maxpool_3) dropout_2 = Dropout(0.5)(flatten) dense_1 = Dense(10, activation='relu')(dropout_2) # dense_2 = Dense(20, activation='relu')(dense_1) # dense_3 = Dense(80, activation='relu')(dense_2) visible_out = Dense(1, activation='sigmoid')(dense_1) model = Model(inputs=visible_in, outputs=visible_out) print(model.summary()) return model def lcp_recognition_binary_model_2(): ''' refer Online, VGG concept model = Sequential() model.add(Conv1D(64, 3, activation='relu', input_shape=(6000, 1))) model.add(Conv1D(64, 3, activation='relu')) model.add(MaxPooling1D(3)) model.add(Conv1D(128, 3, activation='relu')) model.add(Conv1D(128, 3, activation='relu')) model.add(MaxPooling1D(3)) model.add(Conv1D(256, 3, activation='relu')) model.add(Conv1D(256, 3, activation='relu')) model.add(GlobalAveragePooling1D()) model.add(Dropout(0.5)) model.add(Dense(1, activation='sigmoid')) :return: ''' model = Sequential() model.add(Conv1D(64, 3, activation='relu', input_shape=(6000, 1))) # model.add(Conv1D(16, 3, activation='relu')) model.add(MaxPooling1D(3, strides=2)) model.add(Dropout(0.3)) # model.add(Conv1D(32, 3, activation='relu')) # model.add(Conv1D(32, 3, activation='relu')) # model.add(MaxPooling1D(3, strides=2)) # model.add(Dropout(0.3)) # model.add(Conv1D(64, 3, activation='relu')) # model.add(Conv1D(64, 3, activation='relu')) # model.add(MaxPooling1D(3, strides=2)) # model.add(Dropout(0.3)) # # model.add(Conv1D(128, 3, activation='relu')) # model.add(Conv1D(128, 3, activation='relu')) # model.add(MaxPooling1D(3, strides=2)) # model.add(Dropout(0.3)) # model.add(Conv1D(256, 3, activation='relu')) # model.add(Conv1D(256, 3, activation='relu')) model.add(GlobalAveragePooling1D()) # model.add(Dropout(0.5)) model.add(Dense(50, activation='relu')) model.add(Dense(10, activation='relu')) model.add(Dense(1, activation='sigmoid')) print(model.summary()) return model def lcp_recognition_binary_model_3(): ''' Dual layer ''' visible_in = Input(shape=(6000, 1)) # Part a conv_a_1 = Conv1D(32, kernel_size=5, activation='relu', name='conv_a_1')(visible_in) conv_a_2 = Conv1D(32, kernel_size=5, activation='relu', name='conv_a_2')(conv_a_1) maxpool_a_1 = MaxPooling1D(pool_size=3, strides=2, name='maxp_a_1')(conv_a_2) drop_a_1 = Dropout(0.3, name='drop_a_1')(maxpool_a_1) conv_a_3 = Conv1D(64, kernel_size=5, activation='relu', name='conv_a_3')(drop_a_1) conv_a_4 = Conv1D(128, kernel_size=5, activation='relu', name='conv_a_4', use_bias=False)(conv_a_3) maxpool_a_2 = MaxPooling1D(pool_size=3, strides=2, name='maxp_a_2')(conv_a_4) gap_a_1 = GlobalAveragePooling1D(name='gap_a_1')(maxpool_a_2) # Part b conv_b_1 = Conv1D(32, kernel_size=5, activation='relu', name='conv_b_1')(visible_in) conv_b_2 = Conv1D(32, kernel_size=5, activation='relu', name='conv_b_2')(conv_b_1) maxpool_b_1 = MaxPooling1D(pool_size=3, strides=2, name='maxp_b_1')(conv_b_2) drop_b_1 = Dropout(0.3, name='drop_b_1')(maxpool_b_1) conv_b_3 = Conv1D(128, kernel_size=5, activation='relu', name='conv_b_3')(drop_b_1) # drop_b_2 = Dropout(0.3, name='drop_b_2')(conv_b_3) # conv_b_4 = Conv1D(128, kernel_size=5, activation='relu', name='conv_b_4')(drop_b_2) # maxpool_b_2 = MaxPooling1D(pool_size=3, strides=2, name='maxp_b_2')(conv_b_4) gap_b_1 = GlobalAveragePooling1D(name='gap_b_1')(conv_b_3) # Layer 2 merge_1 = concatenate([gap_a_1, gap_b_1]) dense_1 = Dense(50, activation='relu', name='dense_1')(merge_1) drop_1 = Dropout(0.2, name='drop_1')(dense_1) visible_out = Dense(1, activation='sigmoid', name='dense_2')(drop_1) model = Model(inputs=visible_in, outputs=visible_out) print(model.summary()) save_model_plot = direct_to_dir(where='result') + 'lcp_recognition_binary_model_3.png' plot_model(model, to_file=save_model_plot) return model # TESTING AT LAPTOP def model_1(): visible_in = Input(shape=(6000, 1)) conv_1 = Conv1D(filters=32, kernel_size=5, strides=1, activation='relu', name='Conv_a_1')(visible_in) gap = GlobalAveragePooling1D()(conv_1) visible_out = Dense(1, activation='sigmoid')(gap) model = Model(inputs=visible_in, outputs=visible_out) print(model.summary()) # lcp_recognition_binary_model_2()

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hooyuheng@gmail.com

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/code/runs_sacred/model_data_random/_sources/data_set_file_8dbb1c73ef6f7d6c76679b005f0b994b.py

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[]

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Samuel-Levesque/Projet_GLO7030

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557bce3235f09723900f65c6e3b44a0ed9d2b519

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import random import warnings warnings.filterwarnings('ignore') # to suppress some matplotlib deprecation warnings import numpy as np # linear algebra import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv) import ast import cv2 import matplotlib.pyplot as plt import os from torch.utils.data import Dataset, DataLoader, ConcatDataset from utility import save_object def create_encoding_deconding_dict(path_data): ''' Crée un dictionnaire d'encoding des labels et un dictionnaire de decoding des labels :param path_data: :return: ''' filenames = os.listdir(path_data) filenames=sorted(filenames) en_dict = {} counter = 0 for fn in filenames: en_dict[fn[:-4].split('/')[-1].replace(' ', '_')] = counter counter += 1 dec_dict = {v: k for k, v in en_dict.items()} save_object(en_dict,"saves_obj/en_dict.pk") save_object(dec_dict, "saves_obj/dec_dict.pk") return en_dict,dec_dict pass #Pour une classe class DoodlesDataset(Dataset): """Doodles csv dataset. adapté de https://www.kaggle.com/leighplt/pytorch-starter-kit/notebook Dataset Pytorch pour une seul catégorie. Pour faire un dataset complet on concatène plusieurs de ces dataset """ def __init__(self, csv_file, root_dir,nrows,encoding_dict=None, mode='train', skiprows=None, size=224, transform=None): """ Args: csv_file (string): Path to the csv file with annotations. ex :airplane.csv root_dir (string): Directory with all the csv. mode (string): Train or test mode. nrows (int): Number of rows of file to read. Useful for reading pieces of large files. skiprows (list-like or integer or callable): Line numbers to skip (0-indexed) or number of lines to skip (int) at the start of the file. size (int): Size of output image. transform (callable, optional): Optional transform to be applied (pas utile pour l'instant) on a sample. """ self.root_dir = root_dir file = os.path.join(self.root_dir, csv_file) self.size = size self.mode = mode self.doodle = pd.read_csv(file, usecols=['drawing'], nrows=nrows, skiprows=skiprows) #Data set pandas # self.transform = transform if self.mode == 'train': self.txt_label= csv_file.replace(' ', '_')[:-4] self.label = encoding_dict[self.txt_label] @staticmethod def _draw(raw_strokes, size=256, largeur_trait=6): BASE_SIZE = 256 img = np.full((BASE_SIZE, BASE_SIZE), 255,dtype=np.uint8) for t, stroke in enumerate(raw_strokes): for i in range(len(stroke[0]) - 1): color = 0 _ = cv2.line(img, (stroke[0][i], stroke[1][i]), (stroke[0][i + 1], stroke[1][i + 1]), color, largeur_trait) if size != BASE_SIZE: return cv2.resize(img, (size, size)) else: return img def __len__(self): return len(self.doodle) def __getitem__(self, idx): raw_strokes = ast.literal_eval(self.doodle.drawing[idx]) sample = self._draw(raw_strokes, size=self.size, largeur_trait=6) # if self.transform: # sample = self.transform(sample) if self.mode == 'train': return (sample[None] / 255).astype('float32'), self.label else: return (sample[None] / 255).astype('float32') #Pour toutes les classe, nb_row par classe def create_huge_data_set(path,nb_rows=1000,size_image=224,encoding_dict=None,skip_rows=None,filenames=None,mode="train"): ''' Concatène les dataset de plusieurs classes :param path: path où se trouve le dossier avec les csv :param nb_rows: Nombre de rows par classes :param size_image: :param filenames: si on veut des classe particulières ex : [airplane.csv, angel.csv] :return: ''' if filenames==None: filenames = os.listdir(path) doodles = ConcatDataset([DoodlesDataset(fn,path,nrows=nb_rows, size=size_image, skiprows=skip_rows,encoding_dict=encoding_dict,mode=mode) for fn in filenames]) return doodles def generate_random_dataset( path, nb_row_valid,nb_rows_test,nb_rows,dict_nb_lignes, size_image=224, encoding_dict=None,filenames=None): ''' Pour chaque classe dans filenames, on prend nb_rows données aléatoire dans le fichier :param path: :param nb_row_valid: :param nb_rows_test: :param nb_rows: :param size_image: :param encoding_dict: :param filenames: :return: ''' if filenames==None: filenames = os.listdir(path) nb_lignes_skip = nb_row_valid + nb_rows_test list_dataset=[] for fn in filenames: n = dict_nb_lignes[fn] skip =list(range(1,nb_lignes_skip)) +sorted(random.sample(range(nb_lignes_skip,n), n - nb_rows-nb_lignes_skip)) data_set=DoodlesDataset(fn, path, nrows=nb_rows, size=size_image, skiprows=skip, encoding_dict=encoding_dict, mode="train") list_dataset.append(data_set) doodles = ConcatDataset(list_dataset) return doodles def create_dict_nb_ligne(path,filenames=None): ''' dictionnaire du nombre de ligne dans les fichiers csv :param path: :return: ''' if filenames==None: filenames = os.listdir(path) dict_nb_ligne={} for fn in filenames: n = sum(1 for line in open(path + fn)) - 1 dict_nb_ligne[fn]=n save_object(dict_nb_ligne,"saves_obj/dict_nb_ligne.pk") return dict_nb_ligne def imshow(img_tensor): npimg = img_tensor.numpy() # print(npimg) plt.imshow(npimg,cmap="gray") plt.show() if __name__ == "__main__": path = 'D:/User/William/Documents/Devoir/Projet Deep/data/mini_train/' # path = 'D:/User/William/Documents/Devoir/Projet Deep/data/train_simplified/' filenames = os.listdir(path) filenames = [path + x for x in filenames] size_image = 224 select_nrows = 1000 csv_file=filenames[0].split('/')[-1] #Créer data set pour un csv file en particulier # essai=DoodlesDataset(csv_file, path,nrows=select_nrows, size=size_image,skiprows=range(1,10)) # loader=DataLoader(essai,batch_size=10) # for image, label in loader: # print(image) # t1=image[0,0,:,:] # #imshow(t1) # print(label) doodles = ConcatDataset([DoodlesDataset(fn.split('/')[-1], path, nrows=select_nrows, size=size_image) for fn in filenames]) loader = DataLoader(doodles, batch_size=2,shuffle=True) i=0 for image, label in loader: # print(image) t1 = image[0, 0, :, :] t2=image[1,0,:,:] # imshow(t1) # imshow(t2) i+=2 print(i) print(label) print("end")

[ "44324703+William-Bourget@users.noreply.github.com" ]

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/kbm/migrations/0004_auto_20200629_0017.py

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nabaman/sistem-informasi-akademik

544d3563c922f105d310bb6377d236e6022fcb2c

1ffb46e86ab76c6c4b98a10862acf01a5676d574

refs/heads/master

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# Generated by Django 3.0.5 on 2020-06-28 17:17 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('kbm', '0003_auto_20200609_2156'), ] operations = [ migrations.AlterField( model_name='data_jurusan', name='jurusan', field=models.CharField(max_length=30, null=True), ), ]

[ "naba.alvian@gmail.com" ]

naba.alvian@gmail.com

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/test/test_van/test_saved_lists.py

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move-coop/parsons

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import unittest import os import requests_mock import unittest.mock as mock from parsons import VAN, Table from test.utils import validate_list from parsons.utilities import cloud_storage class TestSavedLists(unittest.TestCase): def setUp(self): self.van = VAN(os.environ["VAN_API_KEY"], db="MyVoters", raise_for_status=False) def tearDown(self): pass @requests_mock.Mocker() def test_get_saved_lists(self, m): json = { "count": 1, "items": [ { "savedListId": 517612, "listCount": 974656, "name": "LikelyParents(16andunder)_DWID_S... - MN", "doorCount": 520709, "description": "null", } ], "nextPageLink": None, } m.get(self.van.connection.uri + "savedLists", json=json) expected = ["savedListId", "listCount", "name", "doorCount", "description"] self.assertTrue(validate_list(expected, self.van.get_saved_lists())) @requests_mock.Mocker() def test_get_saved_list(self, m): saved_list_id = 517612 json = { "savedListId": 517612, "listCount": 974656, "name": "LikelyParents(16andunder)_DWID_S... - MN", "doorCount": 520709, "description": "null", } m.get(self.van.connection.uri + f"savedLists/{saved_list_id}", json=json) # expected = ['savedListId', 'listCount', 'name', 'doorCount', 'description'] self.assertEqual(self.van.get_saved_list(saved_list_id), json) def test_upload_saved_list(self): cloud_storage.post_file = mock.MagicMock() cloud_storage.post_file.return_value = "https://box.com/my_file.zip" self.van.connection._soap_client = mock.MagicMock() self.van.get_folders = mock.MagicMock() self.van.get_folders.return_value = [{"folderId": 1}] tbl = Table([["VANID"], ["1"], ["2"], ["3"]]) self.van.upload_saved_list( tbl, "GOTV List", 1, replace=True, url_type="S3", bucket="tmc-scratch" ) assert self.van.connection._soap_client.service.CreateAndStoreSavedList.called @requests_mock.Mocker() def test_upload_saved_list_rest(self): cloud_storage.post_file = mock.MagicMock() cloud_storage.post_file.return_value = "https://box.com/my_file.zip" self.van.get_folders = mock.MagicMock() self.van.get_folders.return_value = [{"folderId": 1}] tbl = Table([["VANID"], ["1"], ["2"], ["3"]]) response = self.van.upload_saved_list_rest( tbl=tbl, url_type="S3", folder_id=1, list_name="GOTV List", description="parsons test list", callback_url="https://webhook.site/69ab58c3-a3a7-4ed8-828c-1ea850cb4160", columns=["VANID"], id_column="VANID", bucket="tmc-scratch", overwrite=517612, ) self.assertIn("jobId", response) @requests_mock.Mocker() def test_get_folders(self, m): json = { "count": 2, "items": [ {"folderId": 5046, "name": "#2018_MN_active_universe"}, {"folderId": 2168, "name": "API Generated Lists"}, ], "nextPageLink": None, } m.get(self.van.connection.uri + "folders", json=json) expected = ["folderId", "name"] self.assertTrue(validate_list(expected, self.van.get_folders())) @requests_mock.Mocker() def test_get_folder(self, m): folder_id = 5046 json = {"folderId": 5046, "name": "#2018_MN_active_universe"} m.get(self.van.connection.uri + f"folders/{folder_id}", json=json) self.assertEqual(json, self.van.get_folder(folder_id)) @requests_mock.Mocker() def test_export_job_types(self, m): json = { "count": 1, "items": [{"exportJobTypeId": 4, "name": "SavedListExport"}], "nextPageLink": None, } m.get(self.van.connection.uri + "exportJobTypes", json=json) expected = ["exportJobTypeId", "name"] self.assertTrue(validate_list(expected, self.van.get_export_job_types())) @requests_mock.Mocker() def test_export_job_create(self, m): saved_list_id = 517612 json = { "status": "Completed", "errorCode": "null", "exportJobGuid": "bf4d1297-1c77-3fb2-03bd-f0acda122d37", "activistCodes": "null", "canvassFileRequestId": 448, "dateExpired": "2018-09-08T16:04:00Z", "surveyQuestions": "null", "webhookUrl": "https://www.nothing.com/", "downloadUrl": "https://ngpvan.blob.core.windows.net/canvass-files-savedlistexport/bf4d1297-1c77-3fb2-03bd-f0acda122d37_2018-09-08T13:03:27.7191831-04:00.csv", # noqa: E501 "savedListId": 517612, "districtFields": "null", "canvassFileRequestGuid": "bf4d1297-1c77-3fb2-03bd-f0acda122d37", "customFields": "null", "type": 4, "exportJobId": 448, } m.post(self.van.connection.uri + "exportJobs", json=json, status_code=201) # expected = [ # 'status', # 'errorCode', # 'exportJobGuid', # 'activistCodes', # 'canvassFileRequestId', # 'dateExpired', # 'surveyQuestions', # 'webhookUrl', # 'downloadUrl', # 'savedListId', # 'districtFields', # 'canvassFileRequestGuid', # 'customFields', # 'type', # 'exportJobId'] self.assertEqual(json, self.van.export_job_create(saved_list_id)) @requests_mock.Mocker() def test_get_export_job(self, m): export_job_id = 448 json = { "status": "Completed", "errorCode": "null", "exportJobGuid": "bf4d1297-1c77-3fb2-03bd-f0acda122d37", "activistCodes": "null", "canvassFileRequestId": 448, "dateExpired": "2018-09-08T16:04:00Z", "surveyQuestions": "null", "webhookUrl": "https://www.nothing.com/", "downloadUrl": "https://ngpvan.blob.core.windows.net/canvass-files-savedlistexport/bf4d1297-1c77-3fb2-03bd-f0acda122d37_2018-09-08T13:03:27.7191831-04:00.csv", # noqa: E501 "savedListId": 517612, "districtFields": "null", "canvassFileRequestGuid": "bf4d1297-1c77-3fb2-03bd-f0acda122d37", "customFields": "null", "type": 4, "exportJobId": 448, } # expected = [ # 'status', # 'errorCode', # 'exportJobGuid', # 'activistCodes', # 'canvassFileRequestId', # 'dateExpired', # 'surveyQuestions', # 'webhookUrl', # 'downloadUrl', # 'savedListId', # 'districtFields', # 'canvassFileRequestGuid', # 'customFields', # 'type', # 'exportJobId'] m.get(self.van.connection.uri + f"exportJobs/{export_job_id}", json=json) self.assertEqual(json, self.van.get_export_job(export_job_id))

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"""Script for Default keyword""" import sys import currency from currency.workflow import Workflow3 def main(workflow): """The main workflow entry function""" method = str(workflow.args.pop(0)) if method in currency.__all__: workflow.run(getattr(currency, method)) else: workflow.run(currency.help_me) if __name__ == "__main__": WF = Workflow3( default_settings={ "favorites": ["EUR", "CNY", "JPY", "GBP"] }, update_settings={ "github_slug": "tomy0000000/coon", "frequency": 7 }, help_url="https://git.io/fjD6M") sys.exit(WF.run(main))

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import os import math import unittest import trw import torch import numpy as np class TestTransformsAffine(unittest.TestCase): def test_2d_identity_nn(self): matrix2 = [ [1, 0, 0], [0, 1, 0], ] matrix2 = torch.FloatTensor(matrix2) images = torch.arange(2 * 5 * 10, dtype=torch.float32).view((2, 1, 5, 10)) images_tfm2 = trw.transforms.affine_transform(images, matrix2, interpolation='nearest') assert int((images == images_tfm2).all()) == 1 def test_3d_identity_nn(self): matrix = [ [1, 0, 0, 0], [0, 1, 0, 0], [0, 0, 1, 0], ] matrix = torch.FloatTensor(matrix) images = torch.arange(2 * 5 * 10 * 3, dtype=torch.float32).view((2, 1, 5, 10, 3)) images_tfm = trw.transforms.affine_transform(images, matrix) assert torch.max((images - images_tfm).abs()) < 1e-4 def test_2d_translation_nn(self): images = torch.arange(2 * 5 * 10, dtype=torch.float).view((2, 1, 5, 10)) m = [ [1, 0, -1], [0, 1, -2], [0, 0, 1] ], m = torch.FloatTensor(m)[0] m = trw.transforms.to_voxel_space_transform(m, images[0].shape) images_tfm = trw.transforms.affine_transform(images, torch.cat((m.unsqueeze(0), m.unsqueeze(0))), interpolation='nearest') assert torch.max(torch.abs(images[:, :, 2:, 1:] - images_tfm[:, :, :-2, :-1])) < 1e-4 def test_2d_image(self): matrix = trw.transforms.affine_transformation_translation([80, 0]) matrix = torch.mm(matrix, trw.transforms.affine_transformation_rotation2d(1 * math.pi / 4)) from PIL import Image image_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', 'tutorials', 'input_images', '2007_008764.jpg') images = Image.open(image_path) images = np.asarray(images).transpose((2, 0, 1)) images = images.reshape([1] + list(images.shape)) images = torch.from_numpy(images).float() images_tfm = trw.transforms.affine_transform( images, trw.transforms.to_voxel_space_transform(matrix, images[0].shape), interpolation='nearest') i = np.uint8(images_tfm.numpy())[0, 0] options = trw.train.Options() root = options.workflow_options.logging_directory Image.fromarray(np.stack((i, i, i), axis=2)).save(os.path.join(root, 'transformed.png')) def test_affine_2d_joint(self): options = trw.train.Options() root = options.workflow_options.logging_directory from PIL import Image image_path = os.path.join(os.path.dirname(os.path.realpath(__file__)), '..', 'tutorials', 'input_images', '2007_008764.jpg') images = Image.open(image_path) images.save(os.path.join(root, 'affine_original.png')) images = np.asarray(images).transpose((2, 0, 1)) images = images.reshape([1] + list(images.shape)) images = torch.from_numpy(images).float() batch = { 'images': images, 'images_joint': images } tfm = trw.transforms.TransformAffine([45, 50], [0.7, 1.3], .5, padding_mode='reflection') for n in range(10): transformed_batch = tfm(batch) i = np.uint8(transformed_batch['images'].numpy())[0, 0] Image.fromarray(np.stack((i, i, i), axis=2)).save(os.path.join(root, f'affine_transformed_{n}.png')) assert (transformed_batch['images'] == transformed_batch['images_joint']).all() def test_affine_3d_joint(self): options = trw.train.Options() root = options.workflow_options.logging_directory shape = [32, 64, 96] shape2 = [32 // 2, 64 // 2, 96 // 2] images = torch.ones(shape, dtype=torch.float32) images[shape2[0]-5:shape2[0]+5, shape2[1]-10:shape2[1]+10, shape2[2]-15:shape2[2]+15] = 3.0 images = images.unsqueeze(0).unsqueeze(0) # add N, C components batch = { 'images': images, 'images_joint': images } i = images.numpy()[0, 0] np.save(os.path.join(root, f'affine_transformed_3d_original.png'), i) tfm = trw.transforms.TransformAffine(0, 1, 0.9) for n in range(10): transformed_batch = tfm(batch) i = transformed_batch['images'].numpy()[0, 0] np.save(os.path.join(root, f'affine_transformed_3d_{n}.png'), i) if __name__ == '__main__': unittest.main()

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#!/home/jk/JKROOT/GITHUB_REPO/DJANGO-CRUD/env/bin/python3 # -*- coding: utf-8 -*- import re import sys from pylint import run_symilar if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(run_symilar())

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import shlex import sqlalchemy from . import model def base_filter(q, include_closed=False): if not include_closed: q = q.filter( model.MUC.is_open == True # NOQA ) return q.filter( model.MUC.is_hidden == False # NOQA ) def base_query(session, *, include_closed=False, with_avatar_flag=False): if with_avatar_flag: q = session.query( model.MUC, model.PubliclyListedMUC, model.Avatar.address != None, # NOQA ).join( model.PubliclyListedMUC, ).outerjoin( model.Avatar, ) else: q = session.query( model.MUC, model.PubliclyListedMUC ).join( model.PubliclyListedMUC ) return base_filter(q, include_closed=include_closed) def common_query(session, *, min_users=1, **kwargs): q = base_query(session, **kwargs) if min_users > 0: q = q.filter( model.MUC.nusers_moving_average > min_users ) return q.order_by( model.MUC.nusers_moving_average.desc(), model.MUC.address.asc(), ) def chain_condition(conditional, new): if conditional is None: return new return sqlalchemy.or_(conditional, new) def filter_keywords(keywords, min_length): keywords = set( keyword for keyword in ( keyword.strip() for keyword in keywords ) if len(keyword) >= min_length ) return keywords def prepare_keywords(query_string, min_length=3): keywords = shlex.split(query_string) return filter_keywords(keywords, min_length) def apply_search_conditions(q, keywords, search_address, search_description, search_name): for keyword in keywords: conditional = None if search_address: conditional = chain_condition( conditional, model.PubliclyListedMUC.address.ilike("%" + keyword + "%") ) if search_description: conditional = chain_condition( conditional, model.PubliclyListedMUC.description.ilike("%" + keyword + "%") ) if search_name: conditional = chain_condition( conditional, model.PubliclyListedMUC.name.ilike("%" + keyword + "%") ) q = q.filter(conditional) return q

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import os from pathlib import Path import pytest from pyfakefs.fake_filesystem import FakeFilesystem from responses import RequestsMock from lean.container import container # conftest.py is ran by pytest before loading each testing module # Fixtures defined in here are therefore available in all testing modules @pytest.fixture(autouse=True) def mock_filesystem(fs: FakeFilesystem) -> FakeFilesystem: """A pytest fixture which mocks the filesystem before each test.""" # The "fs" argument triggers pyfakefs' own pytest fixture to register # After pyfakefs has started all filesystem actions will happen on a fake in-memory filesystem # Create a fake home directory and set the cwd to an empty directory fs.create_dir(Path.home() / "testing") os.chdir(Path.home() / "testing") # Reset singletons so that fresh Path instances get created container.reset_singletons() return fs @pytest.fixture(autouse=True) def requests_mock() -> RequestsMock: """A pytest fixture which mocks the requests library before each test. If a test makes an HTTP request which hasn't been mocked, the request will fail. """ with RequestsMock() as mock: yield mock @pytest.fixture(autouse=True) def reset_container_overrides() -> None: """A pytest fixture which makes sure all container and provider overrides are reset before each test.""" for provider in container.traverse(): provider.reset_override() container.reset_override()

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#!/bin/python import sys if __name__ == "__main__": n, m, k = map(int, raw_input().strip().split(' ')) sockets = [] for _ in xrange(m): x, y = map(int, raw_input().strip().split(' ')) # left if not x: sockets.append(y) # bottom elif not y: sockets.append((4*n) - x) # right elif x == n: sockets.append((3*n) - y) # top else: sockets.append(n + x) #print sockets[-1] sockets = sorted(sockets) best = n*4 # check contiguous sockets for i in xrange(m-k): if sockets[i+k-1] - sockets[i] < best: best = sockets[i+k-1] - sockets[i] if not best: break # check wrapped sockets if best: for i in xrange(k-1): if ((sockets[i] + (4 * n)) - sockets[i + 1 - k]) < best: best = (sockets[i] + (4 * n)) - sockets[i + 1 - k] if not best: break print best

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""" 예측분석과 머신러닝 - (9) Neural Networks: pip install theanets nose_parameterized conda install m2w64-toolchain """ import numpy as np import theanets import multiprocessing from sklearn import datasets from sklearn.metrics import accuracy_score rain = .1 * np.load('ch10.rain.npy') rain[rain < 0] = .05/2 dates = np.load('ch10.doy.npy') x = np.vstack((dates[:-1], np.sign(rain[:-1]))) x = x.T y = np.vstack(np.sign(rain[1:]),) N = int(.9 * len(x)) train = [x[:N], y[:N]] valid = [x[N:], y[N:]] net = theanets.Regressor(layers=[2, 3, 1]) net.train(train, valid, learning_rate=0.1, momentum=0.5) pred = net.predict(x[N:]).ravel() print("Pred Min", pred.min(), "Max", pred.max()) print("Y Min", y.min(), "Max", y.max()) print("Accuracy", accuracy_score(y[N:], pred >= .5))

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import time import unittest from selenium.webdriver.support.select import Select from Data.parameters import Data from get_dir import pwd from reuse_func import GetData class Test_summaryreport(unittest.TestCase): @classmethod def setUpClass(self): self.data = GetData() self.p = pwd() self.driver = self.data.get_driver() self.data.open_cqube_appln(self.driver) self.data.page_loading(self.driver) self.data.login_to_adminconsole(self.driver) def test_summary_icon(self): count = 0 self.data.page_loading(self.driver) self.driver.find_element_by_xpath("//*[@id='summary']/img").click() self.data.page_loading(self.driver) if 'summary-statistics' in self.driver.current_url: print("Summmary statistics report page is present ") else: print('Summary report page is not displayed') count = count + 1 self.assertEqual(0,count,msg='Summary report page is not working') self.driver.find_element_by_id('homeBtn').click() self.data.page_loading(self.driver) def test_dashboard_summary(self): count = 0 self.driver.find_element_by_id(Data.Dashboard).click() time.sleep(2) self.driver.find_element_by_xpath("//*[@id='summary']/div/td[2]").click() self.data.page_loading(self.driver) if 'summary-statistics' in self.driver.current_url: print("Summmary statistics report page is present ") else: print('Summary report page is not displayed') count = count + 1 self.assertEqual(0,count,msg='Summary report page is not working') self.driver.find_element_by_id('homeBtn').click() self.data.page_loading(self.driver) def test_check_summary(self): self.data.page_loading(self.driver) self.driver.find_element_by_id(Data.Dashboard).click() time.sleep(2) self.driver.find_element_by_xpath("//*[@id='summary']/div/td[2]").click() self.data.page_loading(self.driver) reports =self.driver.find_elements_by_tag_name('h2') count = len(reports) for i in range(len(reports)): print(reports[i].text) self.assertNotEqual(0,count,msg='All summary reports are not present') if count > 6: print("summary report of all files to be updated") self.data.page_loading(self.driver) self.driver.find_element_by_id('homeBtn').click() self.data.page_loading(self.driver) @classmethod def tearDownClass(cls): cls.driver.close()

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def add(list1,counter,total): n=len(list1) if n==counter: print(total) else: total=add(list1[counter],counter,total)+total return(total) return counter counter = counter + 1 list1=[1,2,3,4] counter=0 total=0 add(list1,counter,total)

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# server.py import socket import struct def send_fd(sock, fd): ''' Send a single file descriptor. ''' sock.sendmsg([b'x'], [(socket.SOL_SOCKET, socket.SCM_RIGHTS, struct.pack('i', fd))]) ack = sock.recv(2) assert ack == b'OK' def server(work_address, port): # Wait for the worker to connect work_serv = socket.socket(socket.AF_UNIX, socket.SOCK_STREAM) work_serv.bind(work_address) work_serv.listen(1) worker, addr = work_serv.accept() # Now run a TCP/IP server and send clients to worker s = socket.socket(socket.AF_INET, socket.SOCK_STREAM) s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, True) s.bind(('', port)) s.listen(1) while True: client, addr = s.accept() print('SERVER: Got connection from', addr) send_fd(worker, client.fileno()) client.close() if __name__ == '__main__': import sys if len(sys.argv) != 3: print('Usage: server.py server_address port', file=sys.stderr) raise SystemExit(1) server(sys.argv[1], int(sys.argv[2]))

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from nltk.stem import PorterStemmer from nltk.tokenize import word_tokenize ps = PorterStemmer() example_words =["python","pythoner","pythoning","pythoned","pythonly"] for w in example_words: print(ps.stem(w)) new_text = "It is very important to be pythonly while you are pythoning with python ." word =word_tokenize(new_text) for i in word: print(ps.stem(i))

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# This sample tests the TypeGuard functionality # that allows user-defined functions to perform # conditional type narrowing. # pyright: reportMissingModuleSource=false import os from typing import Any, List, Literal, Tuple, TypeVar, Union from typing_extensions import TypeGuard _T = TypeVar("_T") def is_two_element_tuple(a: Tuple[_T, ...]) -> TypeGuard[Tuple[_T, _T]]: return True def func1(a: Tuple[int, ...]): if is_two_element_tuple(a): t1: Literal["Tuple[int, int]"] = reveal_type(a) else: t2: Literal["Tuple[int, ...]"] = reveal_type(a) def is_string_list(val: List[Any], allow_zero_entries: bool) -> TypeGuard[List[str]]: if allow_zero_entries and len(val) == 0: return True return all(isinstance(x, str) for x in val) def func2(a: List[Union[str, int]]): if is_string_list(a, True): t1: Literal["List[str]"] = reveal_type(a) else: t2: Literal["List[str | int]"] = reveal_type(a) # This should generate an error because TypeGuard # has no type argument. def bad1(a: int) -> TypeGuard: return True # This should generate an error because TypeGuard # has too many type arguments. def bad2(a: int) -> TypeGuard[str, int]: return True # This should generate an error because TypeGuard # does not accept an elipsis. def bad3(a: int) -> TypeGuard[...]: return True # This should generate an error because TypeGuard # has does not accept a module. def bad4(a: int) -> TypeGuard[os]: return True def bad5(a: int) -> TypeGuard[int]: # This should generate an error because only # bool values can be returned. return 3

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erictr@microsoft.com

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z-o-e/algoFun

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# bloom filter is a space-efficient probabilistic data structure to check whether an element is a member of a very large set. # False positive are possible, false negative are impossible (100% recall) # probability of a false positive depends on the density of 1's in the array and the number of hash functions # (the number of 1's is approximately the number of elements inserted times the number of hash functions) # suppose bitArraySize: b, hashFunctionSize: h, streaElementSize: n # throwing d darts at t targets at random: (1-1/t)^d = (1-1/t)^(t*d/t) ~= e^(-d/t) # for example: suppose b=1b, h=5, n=100m, that is t = 10^9, d = 5*10^8 # the fraction of 0's e^(-1/2), fraction of 1's: 1-e^(-1/2), fraction of false positive (1-e^(-1/2))^5 import math # @param funcs: a list of hash functions # @param filterSize: an int representing the size of bloom filter -- a bit vector class bloomFilter: def __init__(self, funcs, filterSize): self.funcs = funcs self.bitArray = [0]*filterSize def _dec2Binary(self, dec): if dec==0: return [0] res = [] while dec: res = [dec%2] + res dec //= 2 return res def set(self, streamElem): elem = self._dec2Binary(streamElem) for func in self.funcs: idx = func(elem, len(self.bitArray)) self.bitArray[idx] |= 1 def lookup(self, newElem): elem = self._dec2Binary(newElem) for func in self.funcs: idx = func(elem, len(self.bitArray)) if self.bitArray[idx]==0: return False return True def estimateFP(self,streamSize): zeros = math.exp(-len(self.funcs)*streamSize/len(self.bitArray)) fp = (1-zeros)**(len(self.funcs)) return fp # h1, h2 take odd-numbered, even-numbered bits startinf from the right of binary representation of x def h1(x,modula): odds = [] for i in range(len(x)-1,-1,-2): odds = [x[i]]+odds res = 0 i = 0 while odds: t = odds.pop() if t==1: res += 2**i i+=1 return res%modula def h2(x,modula): evens = [] for i in range(len(x)-2,-1,-2): evens = [x[i]]+evens res = 0 i = 0 while evens: t = evens.pop() if t==1: res += 2**i i+=1 return res%modula funcs = [h1, h2] filterSize = 11 test = bloomFilter(funcs, filterSize) test.set(25) test.set(159) test.lookup(25) test.lookup(159) test.lookup(30) test.bitArray

[ "hyzhang22@gmail.com" ]

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from functools import wraps from django.shortcuts import redirect def admin_login(func): @wraps(func) def wrapper(request, *args, **kwargs): if request.user.is_staff: return func(request, *args, **kwargs) else: return redirect('home') return wrapper

[ "qwazpia@gmail.com" ]

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import argparse import asyncio import logging from pathlib import Path from typing import Any from aiohttp import web log = logging.getLogger(__name__) class AlertServer: shut_down: bool shut_down_event: asyncio.Event log: Any app: Any alert_file_path: Path port: int @staticmethod async def create_alert_server(alert_file_path: Path, port): self = AlertServer() self.log = log self.shut_down = False self.app = web.Application() self.shut_down_event = asyncio.Event() self.port = port routes = [ web.get("/status", self.status), ] self.alert_file_path = alert_file_path self.app.add_routes(routes) return self async def status(self, request): file_text = self.alert_file_path.read_text() return web.Response(body=file_text, content_type="text/plain") async def stop(self): self.shut_down_event.set() async def run(self): runner = web.AppRunner(self.app, access_log=None) await runner.setup() site = web.TCPSite(runner, None, self.port) await site.start() async def run_and_wait(file_path, port): server = await AlertServer.create_alert_server(Path(file_path), port) await server.run() await server.shut_down_event.wait() def main(): parser = argparse.ArgumentParser() parser.add_argument("-file_path", type=str, dest="file_path") parser.add_argument("-port", type=str, dest="port") port = None file_path = None for key, value in vars(parser.parse_args()).items(): if key == "port": port = value elif key == "file_path": file_path = value else: print(f"Invalid argument {key}") if port is None or file_path is None: print( "Missing arguments, example usage:\n\n" "python sweety/util/alert_server.py -p 4000 -file_path /home/user/alert.txt\n" ) quit() return asyncio.get_event_loop().run_until_complete(run_and_wait(file_path, port)) if __name__ == "__main__": main()

[ "tlwu@njmlab.com" ]

tlwu@njmlab.com

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umunusb1/PythonMaterial

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#!/usr/bin/python # -*- coding: utf-8 -*- """ Purpose: Working with tuples """ mylist = [12, 34.8, 500000, [6, 8], (5,)] print('type(mylist)', type(mylist)) print('len(mylist)', len(mylist)) mytuple = (12, 34.8, 500000, [6, 8], (5,)) print('\ntype(mytuple)', type(mytuple)) print('len(mytuple)', len(mytuple)) print(mytuple) print() another_tuple = (99.9,) print('type(another_tuple)', type(another_tuple)) print('len(another_tuple) ', len(another_tuple)) # NOTE: For tuple with single element, place comma at the end # to recognize it as tuple; else recognizes as individual element print() empty_tuple = tuple() # () print('type(empty_tuple):', type(empty_tuple)) print('len(empty_tuple) :', len(empty_tuple)) print() mytuple = 1, 2, 3 print('type(mytuple) :', type(mytuple)) print('len(mytuple) :', len(mytuple)) print(mytuple)

[ "uday3prakash@gmail.com" ]

uday3prakash@gmail.com

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/alipay/aop/api/response/AlipayUserAuthZhimaperInnerApplyResponse.py

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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.response.AlipayResponse import AlipayResponse class AlipayUserAuthZhimaperInnerApplyResponse(AlipayResponse): def __init__(self): super(AlipayUserAuthZhimaperInnerApplyResponse, self).__init__() self._access_token = None self._auth_token_type = None self._refresh_token = None @property def access_token(self): return self._access_token @access_token.setter def access_token(self, value): self._access_token = value @property def auth_token_type(self): return self._auth_token_type @auth_token_type.setter def auth_token_type(self, value): self._auth_token_type = value @property def refresh_token(self): return self._refresh_token @refresh_token.setter def refresh_token(self, value): self._refresh_token = value def parse_response_content(self, response_content): response = super(AlipayUserAuthZhimaperInnerApplyResponse, self).parse_response_content(response_content) if 'access_token' in response: self.access_token = response['access_token'] if 'auth_token_type' in response: self.auth_token_type = response['auth_token_type'] if 'refresh_token' in response: self.refresh_token = response['refresh_token']

[ "liuqun.lq@alibaba-inc.com" ]

liuqun.lq@alibaba-inc.com

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/ARC104/b.py

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[]

no_license

Intel-out-side/AtCoder

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refs/heads/master

2022-06-23T04:21:12.886072

2022-06-13T14:39:07

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I = input().split() N = int(I[0]) S = I[1] class AccumulatedSum: """ 累積和を勝手に計算します。 0-indexedなので注意 """ def __init__(self, A:list): self.N = len(A) self.accumulated_sum = A.copy() for i in range(1, self.N): self.accumulated_sum[i] += self.accumulated_sum[i-1] def getSumIn(self, left:int, right:int) -> int: """ [l, r]区間の和を計算します。左右端も含みます。 """ if left == 0: return self.accumulated_sum[right] return self.accumulated_sum[right] - self.accumulated_sum[left-1] A = [0] * N T = [0] * N C = [0] * N G = [0] * N for i in range(N): if S[i] == "A": A[i] = 1 if S[i] == "T": T[i] = 1 if S[i] == "C": C[i] = 1 if S[i] == "G": G[i] = 1 Aacc = AccumulatedSum(A) Tacc = AccumulatedSum(T) Cacc = AccumulatedSum(C) Gacc = AccumulatedSum(G) ans = 0 for i in range(N): for j in range(i, N): if Aacc.getSumIn(i, j) == Tacc.getSumIn(i, j) and Cacc.getSumIn(i, j) == Gacc.getSumIn(i, j): ans += 1 print(ans)

[ "so.eng.eng.1rou@gmail.com" ]

so.eng.eng.1rou@gmail.com

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/test/mitmproxy/utils/test_strutils.py

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import pytest from mitmproxy.utils import strutils def test_always_bytes(): assert strutils.always_bytes(bytes(range(256))) == bytes(range(256)) assert strutils.always_bytes("foo") == b"foo" with pytest.raises(ValueError): strutils.always_bytes("\u2605", "ascii") with pytest.raises(TypeError): strutils.always_bytes(42, "ascii") def test_always_str(): with pytest.raises(TypeError): strutils.always_str(42) assert strutils.always_str("foo") == "foo" assert strutils.always_str(b"foo") == "foo" assert strutils.always_str(None) is None def test_escape_control_characters(): assert strutils.escape_control_characters("one") == "one" assert strutils.escape_control_characters("\00ne") == ".ne" assert strutils.escape_control_characters("\nne") == "\nne" assert strutils.escape_control_characters("\nne", False) == ".ne" assert strutils.escape_control_characters("\u2605") == "\u2605" assert ( strutils.escape_control_characters(bytes(bytearray(range(128))).decode()) == '.........\t\n..\r.................. !"#$%&\'()*+,-./0123456789:;<' '=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~.' ) assert ( strutils.escape_control_characters(bytes(bytearray(range(128))).decode(), False) == '................................ !"#$%&\'()*+,-./0123456789:;<' '=>?@ABCDEFGHIJKLMNOPQRSTUVWXYZ[\\]^_`abcdefghijklmnopqrstuvwxyz{|}~.' ) with pytest.raises(ValueError): strutils.escape_control_characters(b"foo") def test_bytes_to_escaped_str(): assert strutils.bytes_to_escaped_str(b"foo") == "foo" assert strutils.bytes_to_escaped_str(b"\b") == r"\x08" assert strutils.bytes_to_escaped_str(br"&!?=\)") == r"&!?=\\)" assert strutils.bytes_to_escaped_str(b'\xc3\xbc') == r"\xc3\xbc" assert strutils.bytes_to_escaped_str(b"'") == r"'" assert strutils.bytes_to_escaped_str(b'"') == r'"' assert strutils.bytes_to_escaped_str(b"'", escape_single_quotes=True) == r"\'" assert strutils.bytes_to_escaped_str(b'"', escape_single_quotes=True) == r'"' assert strutils.bytes_to_escaped_str(b"\r\n\t") == "\\r\\n\\t" assert strutils.bytes_to_escaped_str(b"\r\n\t", True) == "\r\n\t" assert strutils.bytes_to_escaped_str(b"\n", True) == "\n" assert strutils.bytes_to_escaped_str(b"\\n", True) == "\\ \\ n".replace(" ", "") assert strutils.bytes_to_escaped_str(b"\\\n", True) == "\\ \\ \n".replace(" ", "") assert strutils.bytes_to_escaped_str(b"\\\\n", True) == "\\ \\ \\ \\ n".replace(" ", "") with pytest.raises(ValueError): strutils.bytes_to_escaped_str("such unicode") def test_escaped_str_to_bytes(): assert strutils.escaped_str_to_bytes("foo") == b"foo" assert strutils.escaped_str_to_bytes("\x08") == b"\b" assert strutils.escaped_str_to_bytes("&!?=\\\\)") == br"&!?=\)" assert strutils.escaped_str_to_bytes("\\x08") == b"\b" assert strutils.escaped_str_to_bytes("&!?=\\\\)") == br"&!?=\)" assert strutils.escaped_str_to_bytes("\u00fc") == b'\xc3\xbc' with pytest.raises(ValueError): strutils.escaped_str_to_bytes(b"very byte") def test_is_mostly_bin(): assert not strutils.is_mostly_bin(b"foo\xFF") assert strutils.is_mostly_bin(b"foo" + b"\xFF" * 10) assert not strutils.is_mostly_bin("") def test_is_xml(): assert not strutils.is_xml(b"foo") assert strutils.is_xml(b"<foo") assert strutils.is_xml(b" \n<foo") def test_clean_hanging_newline(): s = "foo\n" assert strutils.clean_hanging_newline(s) == "foo" assert strutils.clean_hanging_newline("foo") == "foo" def test_hexdump(): assert list(strutils.hexdump(b"one\0" * 10)) ESCAPE_QUOTES = [ "'" + strutils.SINGLELINE_CONTENT + strutils.NO_ESCAPE + "'", '"' + strutils.SINGLELINE_CONTENT + strutils.NO_ESCAPE + '"' ] def test_split_special_areas(): assert strutils.split_special_areas("foo", ESCAPE_QUOTES) == ["foo"] assert strutils.split_special_areas("foo 'bar' baz", ESCAPE_QUOTES) == ["foo ", "'bar'", " baz"] assert strutils.split_special_areas( """foo 'b\\'a"r' baz""", ESCAPE_QUOTES ) == ["foo ", "'b\\'a\"r'", " baz"] assert strutils.split_special_areas( "foo\n/*bar\nbaz*/\nqux", [r'/\*[\s\S]+?\*/'] ) == ["foo\n", "/*bar\nbaz*/", "\nqux"] assert strutils.split_special_areas( "foo\n//bar\nbaz", [r'//.+$'] ) == ["foo\n", "//bar", "\nbaz"] def test_escape_special_areas(): assert strutils.escape_special_areas('foo "bar" baz', ESCAPE_QUOTES, "*") == 'foo "bar" baz' esc = strutils.escape_special_areas('foo "b*r" b*z', ESCAPE_QUOTES, "*") assert esc == 'foo "b\ue02ar" b*z' assert strutils.unescape_special_areas(esc) == 'foo "b*r" b*z'

[ "stzhu.ac@gmail.com" ]

stzhu.ac@gmail.com

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#coding=utf-8 import os import subprocess import time import traceback from appium import webdriver from appium.webdriver.common.touch_action import TouchAction from selenium.common.exceptions import NoSuchElementException, WebDriverException desired_caps = { 'platformName' : 'Android', 'deviceName' : 'Android Emulator', 'platformVersion' : '4.4', 'appPackage' : 'com.naman14.timber', 'appActivity' : 'com.naman14.timber.activities.MainActivity', 'resetKeyboard' : True, 'androidCoverage' : 'com.naman14.timber/com.naman14.timber.JacocoInstrumentation', 'noReset' : True } def command(cmd, timeout=5): p = subprocess.Popen(cmd, stderr=subprocess.STDOUT, stdout=subprocess.PIPE, shell=True) time.sleep(timeout) p.terminate() return def getElememt(driver, str) : for i in range(0, 5, 1): try: element = driver.find_element_by_android_uiautomator(str) except NoSuchElementException: time.sleep(1) else: return element os.popen("adb shell input tap 50 50") element = driver.find_element_by_android_uiautomator(str) return element def getElememtBack(driver, str1, str2) : for i in range(0, 2, 1): try: element = driver.find_element_by_android_uiautomator(str1) except NoSuchElementException: time.sleep(1) else: return element for i in range(0, 5, 1): try: element = driver.find_element_by_android_uiautomator(str2) except NoSuchElementException: time.sleep(1) else: return element os.popen("adb shell input tap 50 50") element = driver.find_element_by_android_uiautomator(str2) return element def swipe(driver, startxper, startyper, endxper, endyper) : size = driver.get_window_size() width = size["width"] height = size["height"] try: driver.swipe(start_x=int(width * startxper), start_y=int(height * startyper), end_x=int(width * endxper), end_y=int(height * endyper), duration=2000) except WebDriverException: time.sleep(1) driver.swipe(start_x=int(width * startxper), start_y=int(height * startyper), end_x=int(width * endxper), end_y=int(height * endyper), duration=2000) return # testcase023 try : starttime = time.time() driver = webdriver.Remote('http://localhost:4723/wd/hub', desired_caps) driver.press_keycode(82) driver.press_keycode(82) driver.press_keycode(82) element = getElememtBack(driver, "new UiSelector().text(\"Sort by\")", "new UiSelector().className(\"android.widget.TextView\").instance(1)") TouchAction(driver).tap(element).perform() driver.press_keycode(82) element = getElememt(driver, "new UiSelector().resourceId(\"com.naman14.timber:id/albumArt\").className(\"android.widget.ImageView\")") TouchAction(driver).tap(element).perform() element = getElememtBack(driver, "new UiSelector().text(\"She\")", "new UiSelector().className(\"android.widget.TextView\").instance(10)") TouchAction(driver).tap(element).perform() element = getElememt(driver, "new UiSelector().resourceId(\"com.naman14.timber:id/albumArt\").className(\"android.widget.ImageView\")") TouchAction(driver).tap(element).perform() element = getElememt(driver, "new UiSelector().className(\"android.widget.ImageView\").description(\"More options\")") TouchAction(driver).long_press(element).release().perform() element = getElememt(driver, "new UiSelector().className(\"android.widget.ImageView\").description(\"More options\")") TouchAction(driver).long_press(element).release().perform() element = getElememt(driver, "new UiSelector().className(\"android.widget.ImageButton\").description(\"Navigate up\")") TouchAction(driver).tap(element).perform() element = getElememtBack(driver, "new UiSelector().text(\"Library\")", "new UiSelector().className(\"android.widget.CheckedTextView\")") TouchAction(driver).tap(element).perform() element = getElememt(driver, "new UiSelector().className(\"android.widget.ImageButton\").description(\"Navigate up\")") TouchAction(driver).tap(element).perform() element = getElememtBack(driver, "new UiSelector().text(\"Heartbeat\")", "new UiSelector().className(\"android.widget.TextView\").instance(17)") TouchAction(driver).tap(element).perform() element = getElememtBack(driver, "new UiSelector().text(\"Report any bugs here\")", "new UiSelector().className(\"android.widget.TextView\").instance(5)") TouchAction(driver).tap(element).perform() except Exception, e: print 'FAIL' print 'str(e):\t\t', str(e) print 'repr(e):\t', repr(e) print traceback.format_exc() else: print 'OK' finally: cpackage = driver.current_package endtime = time.time() print 'consumed time:', str(endtime - starttime), 's' command("adb shell am broadcast -a com.example.pkg.END_EMMA --es name \"1_023\"") jacocotime = time.time() print 'jacoco time:', str(jacocotime - endtime), 's' driver.quit() if (cpackage != 'com.naman14.timber'): cpackage = "adb shell am force-stop " + cpackage os.popen(cpackage)

[ "prefest2018@gmail.com" ]

prefest2018@gmail.com