Reset23/the-stack-v2-processed · Datasets at Hugging Face

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gabriellaec/desoft-analise-exercicios

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def asteriscos(n): result = '*' * n return result

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pandey-ankur-au17/Python

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""" Q-1 ) Squares of a Sorted Array:(5 marks) (easy) https://leetcode.com/problems/squares-of-a-sorted-array/ Given an integer array nums sorted in non-decreasing order, return an array of the squares of each number sorted in non-decreasing order. Example 1: Input: nums = [-4,-1,0,3,10] Output: [0,1,9,16,100] Explanation: After squaring, the array becomes [16,1,0,9,100]. After sorting, it becomes [0,1,9,16,100]. """ def SortedArray(nums): n = len(nums) i = 0 j = n - 1 k = n - 1 result = list(range(n)) while i <= j: SqrNg = nums[i] * nums[i] SqrPo = nums[j] * nums[j] if SqrNg < SqrPo: result[k] = SqrPo j = j - 1 else: result[k] = SqrNg i = i + 1 k = k - 1 return result if __name__ == "__main__": nums = [-4,-1,0,3,10] res = SortedArray(nums) print(res)

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/ebcli/controllers/codesource.py

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stefansundin/awsebcli

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2022-12-06T06:34:52.601029

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2022-11-20T01:38:26

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# Copyright 2016 Amazon.com, Inc. or its affiliates. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"). You # may not use this file except in compliance with the License. A copy of # the License is located at # # http://aws.amazon.com/apache2.0/ # # or in the "license" file accompanying this file. This file 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 ebcli.lib import utils from ebcli.core import io from ebcli.core.abstractcontroller import AbstractBaseController from ebcli.resources.strings import strings, flag_text, prompts from ebcli.operations import gitops class CodeSourceController(AbstractBaseController): class Meta(AbstractBaseController.Meta): label = 'codesource' description = strings['codesource.info'] arguments = [ ( ['sourcename'], dict( action='store', nargs='?', help=flag_text['codesource.sourcename'], choices=['codecommit', 'local'], type=str.lower ) ), ] usage = 'eb codesource <sourcename> [options ...]' def do_command(self): sourcename = self.app.pargs.sourcename if sourcename is not None: if sourcename == 'local': gitops.print_current_codecommit_settings() self.set_local() if sourcename == 'codecommit': self.set_codecommit() else: self.prompt_for_codesource() def prompt_for_codesource(self): gitops.print_current_codecommit_settings() io.echo(prompts['codesource.codesourceprompt']) setup_choices = ['CodeCommit', 'Local'] choice = utils.prompt_for_item_in_list(setup_choices, 2) if choice == setup_choices[0]: self.set_codecommit() elif choice == setup_choices[1]: self.set_local() def set_local(self): gitops.disable_codecommit() io.echo(strings['codesource.localmsg']) def set_codecommit(self): gitops.initialize_codecommit()

[ "[email protected]" ]

[email protected]

c7fbb95fa05343cc561f50c34178cda5f263255f

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/backup/user_363/ch18_2020_09_16_12_12_05_478212.py

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gabriellaec/desoft-analise-exercicios

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def testa_maioridade(idade): if idade >= 21: return 'Liberado EUA e BRASIL' else: if idade >= 18: return 'Liberado BRASIL' else: return 'Não está liberado' print(testa_maioridade(17)) print(testa_maioridade(20)) print(testa_maioridade(21))

[ "[email protected]" ]

[email protected]

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/tests/test_cps324.py

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nuxeo-cps/products--CPSUpgradeTests

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# Upgrade from CPS 3.2.4 DB_NAME = 'cps324' import os import unittest # Warning, nifty tapdance ahead: # When you import testing, it sets testing home to # $SOFTWARE_HOME/lib/python/Testing import Testing # But we want it to be in a directory with our custom_zodb.py, so we set it, # but only after importing Testing (or it will be reset later). import App.config cfg = App.config.getConfiguration() cfg.testinghome = os.path.join(os.path.dirname(__file__), DB_NAME) # During the import of the ZopeLite module, the Zope Application will be # started, and it will now use our testinghome, find our custom_zodb.py and # use our custom ZODB. # Actually, we import upgradetestcase, which in turn imports ZopeTestCase, # which in turn imports ZopeLite, which in turns starts Zope. from upgradetestcase import PreGenericSetupTestCase # Tapdance ends. class TestUpgrade(PreGenericSetupTestCase): db_dir = DB_NAME def test_upgrade(self): self._upgrade() self._verifyDocument() self._verifyPublishing() self._verifyCalendaring() self._verifyNewsItem() self._checkSubGroupSupport() self._verifyFolderDestruction() def test_suite(): return unittest.TestSuite(( unittest.makeSuite(TestUpgrade), )) if __name__ == '__main__': unittest.main(defaultTest='test_suite')

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/mars/core/graph/builder/tileable.py

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mars-project/mars

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# Copyright 1999-2021 Alibaba Group Holding Ltd. # # 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 typing import Union, Generator from ...mode import enter_mode from ..entity import TileableGraph, ChunkGraph from .base import AbstractGraphBuilder class TileableGraphBuilder(AbstractGraphBuilder): _graph: TileableGraph def __init__(self, graph: TileableGraph): super().__init__(graph=graph) @enter_mode(build=True, kernel=True) def _build(self) -> Union[TileableGraph, ChunkGraph]: self._add_nodes(self._graph, list(self._graph.result_tileables), set()) return self._graph def build(self) -> Generator[Union[TileableGraph, ChunkGraph], None, None]: yield self._build()

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rafaelperazzo/programacao-web

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# -*- coding: utf-8 -*- #COMECE AQUI ABAIXO n=int(input('digite n:')) x1=n//1000 b=n//1000 b2=b%100 x2=b2//100 print(x1) print(x2)

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/dfirtrack_main/tests/system/test_system_importer_file_csv_config_based_forms.py

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fxcebx/dfirtrack

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from django.core.files.uploadedfile import SimpleUploadedFile from django.test import TestCase from dfirtrack_main.importer.file.csv_importer_forms import SystemImporterFileCsvConfigbasedForm class SystemImporterFileCsvConfigbasedFormTestCase(TestCase): """ system importer file CSV config-based form tests """ def test_system_importer_file_csv_config_based_systemcsv_form_label(self): """ test form label """ # get object form = SystemImporterFileCsvConfigbasedForm() # compare self.assertEqual(form.fields['systemcsv'].label, 'CSV with systems (*)') def test_system_importer_file_csv_config_based_form_empty(self): """ test minimum form requirements / INVALID """ # get object form = SystemImporterFileCsvConfigbasedForm(data = {}) # compare self.assertFalse(form.is_valid()) def test_system_importer_file_csv_config_based_systemcsv_form_filled(self): """ test minimum form requirements / VALID """ # get file upload_csv = open('example_data/dfirtrack_main_importer_file_csv_system__valid.csv', 'rb') # create dictionaries data_dict = {} file_dict = { 'systemcsv': SimpleUploadedFile(upload_csv.name, upload_csv.read()), } # get object form = SystemImporterFileCsvConfigbasedForm( data = data_dict, files = file_dict, ) # close file upload_csv.close() # compare self.assertTrue(form.is_valid())

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[email protected]

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/Gomine_DOC_Unicode/Old_crawl/shiye/shiye/items.py

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SuperShen9/Scrapy

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# -*- coding: utf-8 -*- # Define here the models for your scraped items # # See documentation in: # http://doc.scrapy.org/en/latest/topics/items.html import scrapy class ShiyeItem(scrapy.Item): # define the fields for your item here like: name = scrapy.Field() code=scrapy.Field() url=scrapy.Field() pass

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/rpi-tutorial/Servo2.py

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raspibrick/install

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# Servo2.py # Two servo motors driven by PCA9685 chip from smbus import SMBus from PCA9685 import PWM import time i2c_address = 0x40 fPWM = 50 channel = 1 a = 8.5 b = 3 def setup(): global pwm bus = SMBus(1) # Raspberry Pi revision 2 pwm = PWM(bus, i2c_address) pwm.setFreq(fPWM) def setDirection(direction): duty = a / 180 * direction + b pwm.setDuty(channel, duty) print "direction =", direction, "-> duty =", duty time.sleep(0.5) # allow to settle print "starting" setup() channel = 0 for direction in range(0, 91, 10): setDirection(direction) direction = 0 setDirection(0) channel = 1 for direction in range(0, 91, 10): setDirection(direction) direction = 0 setDirection(0) print "done"

[ "[email protected]" ]

[email protected]

d0585631be5a98578e7397c70df0b3441eda5577

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/操作数据库/使用Flask连接MySQL_将话务数据入库.py

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fengmingshan/python

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refs/heads/master

2021-06-03T08:35:50.019745

2021-01-19T15:12:01

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# -*- coding: utf-8 -*- """ Created on Wed Apr 1 10:16:45 2020 @author: Administrator """ from flask import Flask, render_template from flask_sqlalchemy import SQLAlchemy import pandas as pd import os work_path = 'd:/_python/python/操作数据库/' os.chdir(work_path) app = Flask(__name__) app.config["SQLALCHEMY_DATABASE_URI"] = "mysql+pymysql://root:a123456@localhost:3306/eric_traffic?charset=utf8" app.config["SQLALCHEMY_TRACK_MODIFICATIONS"] = False app.config['SQLALCHEMY_COMMMIT_ON_TEARDOWN'] = True # 建立数据库对象 db = SQLAlchemy(app) #db = SQLAlchemy(app, use_native_unicode='utf8') title = ['key', 'week', 'eNodeB', 'EUTRANCELLFDD', 'Acc_WirelessConnSucRate', 'Acc_ERAB_droppingrate', 'AirInterface_Traffic_Volume_UL_MBytes', 'AirInterface_Traffic_Volume_DL_MBytes', 'Int_DownlinkLatency', 'MaxnumberofUEinRRc', 'pmCellDowntimeAuto1', 'pmCellDowntimeMan1', 'Data_Coverage', 'Ava_CellAvail', 'NumofLTERedirectto3G', 'AvgNumberofULActiveUsers', 'AvgNumberofDLActiveUsers', 'DL_Util_of_PRB', 'DLactiveuesum', 'CellPDCPDLbit', 'AvgUserFellThroughput_Mbps' ] df_eric = pd.read_csv('./爱立信0224-0301_mini.csv', header=None, names=title) df_eric = df_eric[['key', 'week', 'eNodeB', 'EUTRANCELLFDD', 'Acc_WirelessConnSucRate', 'Acc_ERAB_droppingrate', 'AirInterface_Traffic_Volume_UL_MBytes', 'AirInterface_Traffic_Volume_DL_MBytes', 'Int_DownlinkLatency', 'MaxnumberofUEinRRc', 'AvgNumberofULActiveUsers', 'AvgNumberofDLActiveUsers', 'DL_Util_of_PRB', 'AvgUserFellThroughput_Mbps' ]] # 建立数据库类，用来映射到数据库中的表。 class Eric_day(db.Model): # 声明表名 __tablename__ = 'eric_day' # 建立字段函数 key = db.Column(db.String(200), primary_key=True) week = db.Column(db.Integer) eNodeB = db.Column(db.String(200)) EUTRANCELLFDD = db.Column(db.String(200)) Acc_WirelessConnSucRate = db.Column(db.Float) Acc_ERAB_droppingrate = db.Column(db.Float) AirInterface_Traffic_Volume_UL_MBytes = db.Column(db.Float) AirInterface_Traffic_Volume_DL_MBytes = db.Column(db.Float) Int_DownlinkLatency = db.Column(db.Float) MaxnumberofUEinRRc = db.Column(db.Integer) AvgNumberofULActiveUsers = db.Column(db.Float) AvgNumberofDLActiveUsers = db.Column(db.Float) DL_Util_of_PRB = db.Column(db.Float) AvgUserFellThroughput_Mbps = db.Column(db.Float) def __repr__(self): return '<User key: {}, week: {}, eNodeB: {}, EUTRANCELLFDD: {}, Acc_WirelessConnSucRate: {}, Acc_ERAB_droppingrate: {}>'.format( self.key, self.week, self.eNodeB, self.EUTRANCELLFDD, self.Acc_WirelessConnSucRate, self.Acc_ERAB_droppingrate) #db.drop_all() db.create_all() # ============================================================================= # 导入数据 # ============================================================================= traffic_data = [Eric_day( key=key, week=wk, eNodeB=enb, EUTRANCELLFDD=cell, Acc_WirelessConnSucRate=accrate, Acc_ERAB_droppingrate=drop, AirInterface_Traffic_Volume_UL_MBytes=uth, AirInterface_Traffic_Volume_DL_MBytes=dth, Int_DownlinkLatency=lat, MaxnumberofUEinRRc=mrrc, AvgNumberofULActiveUsers=uact, AvgNumberofDLActiveUsers=dact, DL_Util_of_PRB=prb, AvgUserFellThroughput_Mbps=fell ) for key,wk, enb, cell, accrate, drop, uth, dth, lat, mrrc, uact, dact, prb, fell in zip( df_eric['key'], df_eric['week'], df_eric['eNodeB'], df_eric['EUTRANCELLFDD'], df_eric['Acc_WirelessConnSucRate'], df_eric['Acc_ERAB_droppingrate'], df_eric['AirInterface_Traffic_Volume_UL_MBytes'], df_eric['AirInterface_Traffic_Volume_DL_MBytes'], df_eric['Int_DownlinkLatency'], df_eric['MaxnumberofUEinRRc'], df_eric['AvgNumberofULActiveUsers'], df_eric['AvgNumberofDLActiveUsers'], df_eric['DL_Util_of_PRB'], df_eric['AvgUserFellThroughput_Mbps'] )] for item in traffic_data: db.session.add(item) db.session.commit() # 原生SQL语句方式 #db.session.execute(r'insert into user values (8, "wjz", "test123")') #db.session.execute(r'insert into user values (9, "wjz", "admin123")') # #db.session.commit() # ============================================================================= # 查表 # ============================================================================= # ORM方式 btslist = Eric_day.query.order_by('eNodeB').all() # 使用class User定义好的格式进行print for bts in btslist: print(bts) # 自定义格式print for bts in btslist: print(bts.week, ' ', bts.eNodeB, ' ', bts.EUTRANCELLFDD, ' ', bts.Acc_WirelessConnSucRate, ' ', bts.Acc_ERAB_droppingrate) # 原生数据库语句_推荐 item = db.session.execute('select * from user order by id asc') # #将结果集强转为list item = list(item) for i in item: print(i) # ============================================================================= # 删除内容 # ============================================================================= # ORM方式 # User.query.filter_by(id=6).delete() # User.query.filter_by(id=7).delete() # User.query.filter_by(id=8).delete() # User.query.filter_by(id=9).delete() # db.session.commit() # # 原生SQL语句方式 #db.session.execute(r'delete from user where id = 7') # db.session.commit() # ============================================================================= # 修改内容 # ============================================================================= # ORM方式 # User.query.filter_by(id=3).update({'name':'张三'}) # User.query.filter_by(id=4).update({'name':'李四'}) # db.session.commit() # # 原生SQL语句方式 #db.session.execute(r'update user set name="李四" where id= 4') #db.session.execute(r'update user set name="王二" where id= 5') # db.session.commit() # #userlist1 = User.query.order_by('id').all()

[ "[email protected]" ]

[email protected]

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# coding=utf-8 # Copyright 2020 The Uncertainty Baselines Authors. # # 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. """Data utilities for CIFAR-10 and CIFAR-100.""" import functools from absl import logging import tensorflow as tf import tensorflow_datasets as tfds import tensorflow_probability as tfp import augment_utils # local file import tfd = tfp.distributions def normalize_convert_image(input_image, dtype): input_image = tf.image.convert_image_dtype(input_image, dtype) mean = tf.constant([0.4914, 0.4822, 0.4465]) std = tf.constant([0.2023, 0.1994, 0.2010]) return (input_image - mean) / std def load_dataset(split, batch_size, name, use_bfloat16, normalize=True, drop_remainder=True, proportion=1.0, validation_set=False, validation_proportion=0.05, aug_params=None): """Loads CIFAR dataset for training or testing. Args: split: tfds.Split. batch_size: The global batch size to use. name: A string indicates whether it is cifar10 or cifar100. use_bfloat16: data type, bfloat16 precision or float32. normalize: Whether to apply mean-std normalization on features. drop_remainder: bool. proportion: float, the proportion of dataset to be used. validation_set: bool, whether to split a validation set from training data. validation_proportion: float, the proportion of training dataset to be used as the validation split, if validation_set is set to True. aug_params: dict, data augmentation hyper parameters. Returns: Input function which returns a locally-sharded dataset batch. """ if proportion < 0. or proportion > 1.: raise ValueError('proportion needs to lie in the range [0, 1]') if validation_proportion < 0. or validation_proportion > 1.: raise ValueError('validation_proportion needs to lie in the range [0, 1]') if use_bfloat16: dtype = tf.bfloat16 else: dtype = tf.float32 ds_info = tfds.builder(name).info image_shape = ds_info.features['image'].shape dataset_size = ds_info.splits['train'].num_examples num_classes = ds_info.features['label'].num_classes if aug_params is None: aug_params = {} adaptive_mixup = aug_params.get('adaptive_mixup', False) random_augment = aug_params.get('random_augment', False) mixup_alpha = aug_params.get('mixup_alpha', 0) ensemble_size = aug_params.get('ensemble_size', 1) label_smoothing = aug_params.get('label_smoothing', 0.) if adaptive_mixup and 'mixup_coeff' not in aug_params: # Hard target in the first epoch! aug_params['mixup_coeff'] = tf.ones([ensemble_size, num_classes]) if mixup_alpha > 0 or label_smoothing > 0: onehot = True else: onehot = False def preprocess(image, label): """Image preprocessing function.""" if split == tfds.Split.TRAIN: image = tf.image.resize_with_crop_or_pad( image, image_shape[0] + 4, image_shape[1] + 4) image = tf.image.random_crop(image, image_shape) image = tf.image.random_flip_left_right(image) # Only random augment for now. if random_augment: count = aug_params['aug_count'] augmenter = augment_utils.RandAugment() augmented = [augmenter.distort(image) for _ in range(count)] image = tf.stack(augmented) if split == tfds.Split.TRAIN and aug_params['augmix']: augmenter = augment_utils.RandAugment() image = _augmix(image, aug_params, augmenter, dtype) elif normalize: image = normalize_convert_image(image, dtype) if split == tfds.Split.TRAIN and onehot: label = tf.cast(label, tf.int32) label = tf.one_hot(label, num_classes) else: label = tf.cast(label, dtype) return image, label if proportion == 1.0: if validation_set: new_name = '{}:3.*.*'.format(name) if split == 'validation': new_split = 'train[{}%:]'.format( int(100 * (1. - validation_proportion))) dataset = tfds.load(new_name, split=new_split, as_supervised=True) elif split == tfds.Split.TRAIN: new_split = 'train[:{}%]'.format( int(100 * (1. - validation_proportion))) dataset = tfds.load(name, split='train[:95%]', as_supervised=True) # split == tfds.Split.TEST case else: dataset = tfds.load(name, split=split, as_supervised=True) else: dataset = tfds.load(name, split=split, as_supervised=True) else: logging.warning( 'Subset of training dataset is being used without a validation set.') new_name = '{}:3.*.*'.format(name) if split == tfds.Split.TRAIN: new_split = 'train[:{}%]'.format(int(100 * proportion)) else: new_split = 'test[:{}%]'.format(int(100 * proportion)) dataset = tfds.load(new_name, split=new_split, as_supervised=True) if split == tfds.Split.TRAIN: dataset = dataset.shuffle(buffer_size=dataset_size).repeat() dataset = dataset.map(preprocess, num_parallel_calls=tf.data.experimental.AUTOTUNE) dataset = dataset.batch(batch_size, drop_remainder=drop_remainder) if mixup_alpha > 0 and split == tfds.Split.TRAIN: if adaptive_mixup: dataset = dataset.map( functools.partial(adaptive_mixup_aug, batch_size, aug_params), num_parallel_calls=8) else: dataset = dataset.map( functools.partial(mixup, batch_size, aug_params), num_parallel_calls=8) dataset = dataset.prefetch(tf.data.experimental.AUTOTUNE) return dataset def augment_and_mix(image, depth, width, prob_coeff, augmenter, dtype): """Apply mixture of augmentations to image.""" mix_weight = tf.squeeze(tfd.Beta([prob_coeff], [prob_coeff]).sample([1])) if width > 1: branch_weights = tf.squeeze(tfd.Dirichlet([prob_coeff] * width).sample([1])) else: branch_weights = tf.constant([1.]) if depth < 0: depth = tf.random.uniform([width], minval=1, maxval=4, dtype=tf.dtypes.int32) else: depth = tf.constant([depth] * width) mix = tf.cast(tf.zeros_like(image), tf.float32) for i in tf.range(width): branch_img = tf.identity(image) for _ in tf.range(depth[i]): branch_img = augmenter.distort(branch_img) branch_img = normalize_convert_image(branch_img, dtype) mix += branch_weights[i] * branch_img return mix_weight * mix + ( 1 - mix_weight) * normalize_convert_image(image, dtype) def _augmix(image, params, augmenter, dtype): """Apply augmix augmentation to image.""" depth = params['augmix_depth'] width = params['augmix_width'] prob_coeff = params['augmix_prob_coeff'] count = params['aug_count'] augmented = [ augment_and_mix(image, depth, width, prob_coeff, augmenter, dtype) for _ in range(count) ] image = normalize_convert_image(image, dtype) return tf.stack([image] + augmented, 0) def mixup(batch_size, aug_params, images, labels): """Applies Mixup regularization to a batch of images and labels. [1] Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz Mixup: Beyond Empirical Risk Minimization. ICLR'18, https://arxiv.org/abs/1710.09412 Arguments: batch_size: The input batch size for images and labels. aug_params: Dict of data augmentation hyper parameters. images: A batch of images of shape [batch_size, ...] labels: A batch of labels of shape [batch_size, num_classes] Returns: A tuple of (images, labels) with the same dimensions as the input with Mixup regularization applied. """ augmix = aug_params.get('augmix', False) alpha = aug_params.get('mixup_alpha', 0.) aug_count = aug_params.get('aug_count', 3) # 4 is hard-coding to aug_count=3. Fix this later! if augmix: mix_weight = tfd.Beta(alpha, alpha).sample([batch_size, aug_count + 1, 1]) else: mix_weight = tfd.Beta(alpha, alpha).sample([batch_size, 1]) mix_weight = tf.maximum(mix_weight, 1. - mix_weight) if augmix: images_mix_weight = tf.reshape(mix_weight, [batch_size, aug_count + 1, 1, 1, 1]) else: images_mix_weight = tf.reshape(mix_weight, [batch_size, 1, 1, 1]) # Mixup on a single batch is implemented by taking a weighted sum with the # same batch in reverse. images_mix = ( images * images_mix_weight + images[::-1] * (1. - images_mix_weight)) if augmix: labels = tf.reshape( tf.tile(labels, [1, aug_count + 1]), [batch_size, aug_count + 1, -1]) labels_mix = labels * mix_weight + labels[::-1] * (1. - mix_weight) labels_mix = tf.reshape(tf.transpose( labels_mix, [1, 0, 2]), [batch_size * (aug_count + 1), -1]) else: labels_mix = labels * mix_weight + labels[::-1] * (1. - mix_weight) return images_mix, labels_mix def adaptive_mixup_aug(batch_size, aug_params, images, labels): """Applies Confidence Adjusted Mixup (CAMixup) regularization. [1] Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, David Lopez-Paz Mixup: Beyond Empirical Risk Minimization. ICLR'18, https://arxiv.org/abs/1710.09412 Arguments: batch_size: The input batch size for images and labels. aug_params: Dict of data augmentation hyper parameters. images: A batch of images of shape [batch_size, ...] labels: A batch of labels of shape [batch_size, num_classes] Returns: A tuple of (images, labels) with the same dimensions as the input with Mixup regularization applied. """ augmix = aug_params['augmix'] ensemble_size = aug_params['ensemble_size'] mixup_coeff = aug_params['mixup_coeff'] scalar_labels = tf.argmax(labels, axis=1) alpha = tf.gather(mixup_coeff, scalar_labels, axis=-1) # 4 x Batch_size # Need to filter out elements in alpha which equal to 0. greater_zero_indicator = tf.cast(alpha > 0, alpha.dtype) less_one_indicator = tf.cast(alpha < 1, alpha.dtype) valid_alpha_indicator = tf.cast( greater_zero_indicator * less_one_indicator, tf.bool) sampled_alpha = tf.where(valid_alpha_indicator, alpha, 0.1) mix_weight = tfd.Beta(sampled_alpha, sampled_alpha).sample() mix_weight = tf.where(valid_alpha_indicator, mix_weight, alpha) mix_weight = tf.reshape(mix_weight, [ensemble_size * batch_size, 1]) mix_weight = tf.clip_by_value(mix_weight, 0, 1) mix_weight = tf.maximum(mix_weight, 1. - mix_weight) images_mix_weight = tf.reshape(mix_weight, [ensemble_size * batch_size, 1, 1, 1]) # Mixup on a single batch is implemented by taking a weighted sum with the # same batch in reverse. if augmix: images_shape = tf.shape(images) images = tf.reshape(tf.transpose( images, [1, 0, 2, 3, 4]), [-1, images_shape[2], images_shape[3], images_shape[4]]) else: images = tf.tile(images, [ensemble_size, 1, 1, 1]) labels = tf.tile(labels, [ensemble_size, 1]) images_mix = ( images * images_mix_weight + images[::-1] * (1. - images_mix_weight)) labels_mix = labels * mix_weight + labels[::-1] * (1. - mix_weight) return images_mix, labels_mix

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[email protected]

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/pyobjc-core/Examples/Scripts/wmEnable.py

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#!/usr/bin/pythonw """ This is an evil undocumented SPI hack that shows how to enable GUI operation from a console application. BUNDLES ARE RECOMMENDED, USE THIS AT YOUR OWN RISK!! """ import os import sys import objc from Foundation import * def S(*args): return b"".join(args) OSErr = objc._C_SHT OUTPSN = b"o^{ProcessSerialNumber=LL}" INPSN = b"n^{ProcessSerialNumber=LL}" FUNCTIONS = [ # These two are public API ("GetCurrentProcess", S(OSErr, OUTPSN)), ("SetFrontProcess", S(OSErr, INPSN)), # This is undocumented SPI ("CPSSetProcessName", S(OSErr, INPSN, objc._C_CHARPTR)), ("CPSEnableForegroundOperation", S(OSErr, INPSN)), ] def WMEnable(name="Python"): if not isinstance(name, bytes): name = name.encode("utf8") mainBundle = NSBundle.mainBundle() bPath = os.path.split(os.path.split(os.path.split(sys.executable)[0])[0])[0] if mainBundle.bundlePath() == bPath: return True bndl = NSBundle.bundleWithPath_( objc.pathForFramework( "/System/Library/Frameworks/ApplicationServices.framework" ) ) if bndl is None: print >>sys.stderr, "ApplicationServices missing" return False d = {} objc.loadBundleFunctions(bndl, d, FUNCTIONS) for (fn, sig) in FUNCTIONS: if fn not in d: print >>sys.stderr, "Missing", fn return False err, psn = d["GetCurrentProcess"](None) if err: print >>sys.stderr, "GetCurrentProcess", (err, psn) return False err = d["CPSSetProcessName"](psn, name) if err: print >>sys.stderr, "CPSSetProcessName", (err, psn) return False err = d["CPSEnableForegroundOperation"](psn) if err: print >>sys.stderr, "CPSEnableForegroundOperation", (err, psn) return False err = d["SetFrontProcess"](psn) if err: print >>sys.stderr, "SetFrontProcess", (err, psn) return False return True class AppDelegate(NSObject): def applicationDidFinishLaunching_(self, sender): rval = AppKit.NSRunAlertPanel("WM Enabled", "WM was enabled!", None, None, None) AppKit.NSApp().terminate_(self) if __name__ == "__main__": import sys if WMEnable(os.path.basename(os.path.splitext(sys.argv[0])[0])): import AppKit app = AppKit.NSApplication.sharedApplication() delegate = AppDelegate.alloc().init() app.setDelegate_(delegate) app.run() else: print("WM was not enabled")

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/python_modules/dagster/dagster/core/definitions/trigger.py

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from collections import namedtuple from dagster import check from dagster.core.instance import DagsterInstance from dagster.utils.backcompat import experimental_class_warning from .mode import DEFAULT_MODE_NAME class TriggeredExecutionContext(namedtuple("TriggeredExecutionContext", "instance")): """Trigger-specific execution context. An instance of this class is made available as the first argument to the TriggeredExecutionDefinition execution_params_fn Attributes: instance (DagsterInstance): The instance configured to run the triggered execution """ def __new__( cls, instance, ): experimental_class_warning("TriggeredExecutionContext") return super(TriggeredExecutionContext, cls).__new__( cls, check.inst_param(instance, "instance", DagsterInstance), ) class TriggeredExecutionDefinition(object): """Define a pipeline execution that responds to a trigger Args: name (str): The name of this triggered execution to create. pipeline_name (str): The name of the pipeline to execute when the trigger fires. run_config_fn (Callable[[TriggeredExecutionContext], [Dict]]): A function that takes a TriggeredExecutionContext object and returns the environment configuration that parameterizes this execution, as a dict. tags_fn (Optional[Callable[[TriggeredExecutionContext], Optional[Dict[str, str]]]]): A function that generates tags to attach to the triggered execution. Takes a :py:class:`~dagster.TriggeredExecutionContext` and returns a dictionary of tags (string key-value pairs). should_execute_fn (Optional[Callable[[TriggeredExecutionContext], bool]]): A function that runs at trigger time to determine whether a pipeline execution should be initiated or skipped. Takes a :py:class:`~dagster.TriggeredExecutionContext` and returns a boolean (``True`` if a pipeline run should be execute). Defaults to a function that always returns ``True``. mode (Optional[str]): The mode to apply when executing this pipeline. (default: 'default') solid_selection (Optional[List[str]]): A list of solid subselection (including single solid names) to execute when the trigger fires. e.g. ``['*some_solid+', 'other_solid']`` """ __slots__ = [ "_name", "_pipeline_name", "_tags_fn", "_run_config_fn", "_should_execute_fn", "_mode", "_solid_selection", ] def __init__( self, name, pipeline_name, run_config_fn=None, tags_fn=None, should_execute_fn=None, mode="default", solid_selection=None, ): experimental_class_warning("TriggeredExecutionDefinition") self._name = check.str_param(name, "name") self._pipeline_name = check.str_param(pipeline_name, "pipeline_name") self._run_config_fn = check.opt_callable_param( run_config_fn, "run_config_fn", lambda _context: {} ) self._tags_fn = check.opt_callable_param(tags_fn, "tags_fn", lambda _context: {}) self._should_execute_fn = check.opt_callable_param( should_execute_fn, "should_execute_fn", lambda _context: True ) self._mode = check.opt_str_param(mode, "mode", DEFAULT_MODE_NAME) self._solid_selection = check.opt_nullable_list_param( solid_selection, "solid_selection", of_type=str ) @property def pipeline_name(self): return self._pipeline_name @property def solid_selection(self): return self._solid_selection @property def name(self): return self._name @property def mode(self): return self._mode def get_run_config(self, context): check.inst_param(context, "context", TriggeredExecutionContext) return self._run_config_fn(context) def get_tags(self, context): check.inst_param(context, "context", TriggeredExecutionContext) return self._tags_fn(context) def should_execute(self, context): check.inst_param(context, "context", TriggeredExecutionContext) return self._should_execute_fn(context)

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/Leet Code/268_missing_number.py

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class Solution: def missingNumber(self, nums: List[int]) -> int: n = len(nums) s = n*(n+1)//2 for i in nums: s -= i return s

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/more/highrest/model.py

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class CollectionBase(object): def clone(self, offset, limit, *args, **kw): raise NotImplementedError() def add(self, data): raise NotImplementedError() def query(self): raise NotImplementedError() @staticmethod def load(request): raise NotImplementedError() def count(self): raise NotImplementedError() def previous(self): if self.offset == 0: return None offset = self.offset - self.limit if offset < 0: offset = 0 return self.clone(offset, self.limit) def next(self): if self.offset + self.limit >= self.count(): return None offset = self.offset + self.limit return self.clone(offset, self.limit) class ItemBase(object): def update(self, data): raise NotImplementedError() def remove(self): raise NotImplementedError()

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/COT/commands/tests/test_edit_hardware.py

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#!/usr/bin/env python # # edit_hardware.py - test cases for the COTEditHardware class # # December 2014, Glenn F. Matthews # Copyright (c) 2013-2017 the COT project developers. # See the COPYRIGHT.txt file at the top-level directory of this distribution # and at https://github.com/glennmatthews/cot/blob/master/COPYRIGHT.txt. # # This file is part of the Common OVF Tool (COT) project. # It is subject to the license terms in the LICENSE.txt file found in the # top-level directory of this distribution and at # https://github.com/glennmatthews/cot/blob/master/LICENSE.txt. No part # of COT, including this file, may be copied, modified, propagated, or # distributed except according to the terms contained in the LICENSE.txt file. """Unit test cases for the COT.edit_hardware.COTEditHardware class.""" import re from COT.commands.tests.command_testcase import CommandTestCase from COT.ui import UI from COT.commands.edit_hardware import COTEditHardware from COT.data_validation import InvalidInputError from COT.platforms import IOSv, IOSXRv class TestCOTEditHardware(CommandTestCase): """Test the COTEditHardware class.""" NEW_HW_FROM_SCRATCH = { 'levelname': 'NOTICE', 'msg': "No existing items.*Will create new.*from scratch", } MEMORY_UNIT_GUESS = { 'levelname': 'WARNING', 'msg': "Memory units not specified, guessing", } NO_ITEMS_NO_WORK = { 'levelname': 'WARNING', 'msg': "No items.*found. Nothing to do.", } REMOVING_NETWORKSECTION = { 'levelname': "NOTICE", 'msg': "removing NetworkSection", } GENERIC_NETWORK = { 'levelname': "WARNING", 'msg': "No network names specified, but NICs must be mapped.*", 'args': ('VM Network',), } @staticmethod def removing_network_message(name=None): """Warning log message for deleting a network entry. Args: name (str): Name of network being deleted. Defaults to 'VM Network'. Returns: dict: kwargs suitable for passing into :meth:`assertLogged` """ if not name: name = "VM Network" return { 'levelname': "NOTICE", 'msg': "Removing unused network %s", 'args': [name], } command_class = COTEditHardware def test_not_ready_with_no_args(self): """Test ready_to_run() behavior.""" self.command.package = self.input_ovf ready, reason = self.command.ready_to_run() self.assertEqual(ready, False) self.assertTrue(re.search("No work requested", reason)) self.assertRaises(InvalidInputError, self.command.run) def test_valid_args(self): """Verify that various valid args are accepted and stored.""" self.command.package = self.input_ovf self.command.cpus = "1" self.assertEqual(self.command.cpus, 1) self.command.memory = "1GB" self.assertEqual(self.command.memory, 1024) self.command.memory = "2g" self.assertEqual(self.command.memory, 2048) self.command.memory = "256M" self.assertEqual(self.command.memory, 256) self.command.memory = "1024" self.assertLogged(**self.MEMORY_UNIT_GUESS) self.assertEqual(self.command.memory, 1024) self.command.nics = 1 self.assertEqual(self.command.nics, 1) self.command.serial_ports = 1 self.assertEqual(self.command.serial_ports, 1) def test_invalid_always_args(self): """Verify that various values are always invalid.""" # pylint: disable=redefined-variable-type self.command.package = self.input_ovf with self.assertRaises(InvalidInputError): self.command.cpus = 0 with self.assertRaises(InvalidInputError): self.command.cpus = "a" with self.assertRaises(InvalidInputError): self.command.memory = 0 with self.assertRaises(InvalidInputError): self.command.memory = "GB" with self.assertRaises(InvalidInputError): self.command.nics = -1 with self.assertRaises(InvalidInputError): self.command.nics = "b" with self.assertRaises(InvalidInputError): self.command.serial_ports = -1 with self.assertRaises(InvalidInputError): self.command.serial_ports = "c" def test_valid_by_platform(self): """Verify that some input values' validity depends on platform.""" self.command.package = self.input_ovf self.command.ui.default_confirm_response = False # IOSv only supports 1 vCPU and up to 3 GB of RAM self.set_vm_platform(IOSv) with self.assertRaises(InvalidInputError): self.command.cpus = 2 with self.assertRaises(InvalidInputError): self.command.memory = "4GB" # ...but IOSXRv supports up to 8 CPUs and 3-8 GB of RAM self.set_vm_platform(IOSXRv) self.command.cpus = 2 self.command.cpus = 8 with self.assertRaises(InvalidInputError): self.command.cpus = 9 self.command.memory = "4" self.assertLogged(**self.MEMORY_UNIT_GUESS) self.command.memory = "8GB" with self.assertRaises(InvalidInputError): self.command.memory = "9GB" def test_set_system_type_single(self): """Set the VirtualSystemType to a single value.""" self.command.package = self.input_ovf self.command.virtual_system_type = ['vmx-09'] self.command.run() self.command.finished() self.check_diff(""" <vssd:VirtualSystemIdentifier>test</vssd:VirtualSystemIdentifier> - <vssd:VirtualSystemType>vmx-07 vmx-08</vssd:VirtualSystemType> + <vssd:VirtualSystemType>vmx-09</vssd:VirtualSystemType> </ovf:System> """) def test_set_system_type_list(self): """Set the VirtualSystemType to a list of values.""" self.command.package = self.input_ovf self.command.virtual_system_type = \ ['vmx-07', 'vmx-08', 'vmx-09', 'Cisco:Internal:VMCloud-01'] # 'profiles' will be ignored in this case, # as VirtualSystemType is not filtered by profile self.command.profiles = ['2CPU-2GB-1NIC'] self.command.run() # TODO - catch warning logger message that should be generated # due to profiles being ignored. self.command.finished() self.check_diff(""" <vssd:VirtualSystemIdentifier>test</vssd:VirtualSystemIdentifier> - <vssd:VirtualSystemType>vmx-07 vmx-08</vssd:VirtualSystemType> + <vssd:VirtualSystemType>vmx-07 vmx-08 vmx-09 \ Cisco:Internal:VMCloud-01</vssd:VirtualSystemType> </ovf:System> """) def test_set_system_type_no_existing(self): """Add a VirtualSystemType to an OVF that doesn't have any.""" self.command.package = self.minimal_ovf self.command.virtual_system_type = ['vmx-07', 'vmx-08'] self.command.run() self.command.finished() self.check_diff(file1=self.minimal_ovf, expected=""" <?xml version='1.0' encoding='utf-8'?> -<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1"> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:vssd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_VirtualSystemSettingData"> <ovf:References /> ... <ovf:Info /> + <ovf:System> + <vssd:ElementName>Virtual System Type</vssd:ElementName> + <vssd:InstanceID>0</vssd:InstanceID> + <vssd:VirtualSystemType>vmx-07 vmx-08</vssd:VirtualSystemType> + </ovf:System> </ovf:VirtualHardwareSection> """) def test_set_cpus_one_profile(self): """Change the number of CPUs under a specific profile.""" self.command.package = self.input_ovf self.command.cpus = 8 self.command.profiles = ['2CPU-2GB-1NIC'] self.command.run() self.command.finished() self.check_diff(""" <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>2 virtual CPU(s)</rasd:ElementName> + <rasd:ElementName>8 virtual CPU(s)</rasd:ElementName> <rasd:InstanceID>1</rasd:InstanceID> <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>2</rasd:VirtualQuantity> + <rasd:VirtualQuantity>8</rasd:VirtualQuantity> <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> """) def test_set_cpus_merge_profiles(self): """Change # CPUs under one profile to match another profile.""" self.command.package = self.input_ovf self.command.cpus = 4 self.command.profiles = ['2CPU-2GB-1NIC'] self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> - <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> - <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> - <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>2 virtual CPU(s)</rasd:ElementName> - <rasd:InstanceID>1</rasd:InstanceID> - <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>2</rasd:VirtualQuantity> - <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> - </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <ovf:Item ovf:configuration="2CPU-2GB-1NIC 4CPU-4GB-3NIC"> <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> """) def test_set_cpus_all_profiles(self): """Change value under all profiles, merging a group of Items.""" self.command.package = self.input_ovf self.command.cpus = 1 self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> - <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> - <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> - <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>2 virtual CPU(s)</rasd:ElementName> - <rasd:InstanceID>1</rasd:InstanceID> - <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>2</rasd:VirtualQuantity> - <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> - </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> - <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> - <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>4 virtual CPU(s)</rasd:ElementName> - <rasd:InstanceID>1</rasd:InstanceID> - <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>4</rasd:VirtualQuantity> - <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> - </ovf:Item> <ovf:Item> """) def test_set_cpus_no_existing(self): """Create a CPU definition in an OVF that doesn't have one.""" self.command.package = self.minimal_ovf self.command.cpus = 1 self.command.run() self.assertLogged(**self.NEW_HW_FROM_SCRATCH) self.command.finished() self.check_diff(file1=self.minimal_ovf, expected=""" <?xml version='1.0' encoding='utf-8'?> -<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1"> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData"> <ovf:References /> ... <ovf:Info /> + <ovf:Item> + <rasd:ElementName>cpu</rasd:ElementName> + <rasd:InstanceID>1</rasd:InstanceID> + <rasd:ResourceType>3</rasd:ResourceType> + <rasd:VirtualQuantity>1</rasd:VirtualQuantity> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_memory_one_profile(self): """Set memory allocation under one profile.""" self.command.package = self.input_ovf self.command.memory = 3072 self.assertLogged(**self.MEMORY_UNIT_GUESS) self.command.profiles = ['2CPU-2GB-1NIC'] self.command.run() self.command.finished() self.check_diff(""" <rasd:Description>Memory Size</rasd:Description> - <rasd:ElementName>2048MB of memory</rasd:ElementName> + <rasd:ElementName>3072MB of memory</rasd:ElementName> <rasd:InstanceID>2</rasd:InstanceID> <rasd:ResourceType>4</rasd:ResourceType> - <rasd:VirtualQuantity>2048</rasd:VirtualQuantity> + <rasd:VirtualQuantity>3072</rasd:VirtualQuantity> </ovf:Item> """) def test_set_memory_all_profiles(self): """Set memory allocation under one profile.""" self.command.package = self.input_ovf self.command.memory = "3072M" self.command.run() self.command.finished() self.check_diff(""" <rasd:Description>Memory Size</rasd:Description> - <rasd:ElementName>1024MB of memory</rasd:ElementName> + <rasd:ElementName>3072MB of memory</rasd:ElementName> <rasd:InstanceID>2</rasd:InstanceID> <rasd:ResourceType>4</rasd:ResourceType> - <rasd:VirtualQuantity>1024</rasd:VirtualQuantity> - </ovf:Item> - <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> - <rasd:AllocationUnits>byte * 2^20</rasd:AllocationUnits> - <rasd:Description>Memory Size</rasd:Description> - <rasd:ElementName>2048MB of memory</rasd:ElementName> - <rasd:InstanceID>2</rasd:InstanceID> - <rasd:ResourceType>4</rasd:ResourceType> - <rasd:VirtualQuantity>2048</rasd:VirtualQuantity> - </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> - <rasd:AllocationUnits>byte * 2^20</rasd:AllocationUnits> - <rasd:Description>Memory Size</rasd:Description> - <rasd:ElementName>4096MB of memory</rasd:ElementName> - <rasd:InstanceID>2</rasd:InstanceID> - <rasd:ResourceType>4</rasd:ResourceType> - <rasd:VirtualQuantity>4096</rasd:VirtualQuantity> + <rasd:VirtualQuantity>3072</rasd:VirtualQuantity> </ovf:Item> """) def test_set_memory_no_existing(self): """Create a RAM definition in an OVF that doesn't have one.""" self.command.package = self.minimal_ovf self.command.memory = "4GB" self.command.run() self.assertLogged(**self.NEW_HW_FROM_SCRATCH) self.command.finished() self.check_diff(file1=self.minimal_ovf, expected=""" <?xml version='1.0' encoding='utf-8'?> -<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1"> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData"> <ovf:References /> ... <ovf:Info /> + <ovf:Item> + <rasd:AllocationUnits>byte * 2^20</rasd:AllocationUnits> + <rasd:ElementName>memory</rasd:ElementName> + <rasd:InstanceID>1</rasd:InstanceID> + <rasd:ResourceType>4</rasd:ResourceType> + <rasd:VirtualQuantity>4096</rasd:VirtualQuantity> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_nic_type_one_profile(self): """Set NIC hardware type under a single profile.""" self.command.package = self.input_ovf self.command.profiles = ['4CPU-4GB-3NIC'] self.command.nic_type = "E1000" self.command.run() self.command.finished() # This requires cloning the "default" NIC under instance 11 # to create a profile-specific version of this NIC self.check_diff(""" <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:AddressOnParent>11</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:Description>E1000 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:InstanceID>11</rasd:InstanceID> + <rasd:ResourceSubType>E1000</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> <rasd:AddressOnParent>12</rasd:AddressOnParent> ... <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Description>E1000 ethernet adapter on "VM Network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet2</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>E1000</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> ... <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Description>E1000 ethernet adapter on "VM Network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet3</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>E1000</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> """) def test_set_nic_type_all_profiles(self): """Change NIC hardware type under all profiles.""" self.command.package = self.input_ovf self.command.nic_type = "virtio-net-pci" self.assertEqual(self.command.nic_type, "virtio") self.command.run() self.command.finished() self.check_diff(""" <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Description>virtio ethernet adapter on "VM Network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet1</rasd:ElementName> <rasd:InstanceID>11</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>virtio</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> ... <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Description>virtio ethernet adapter on "VM Network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet2</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>virtio</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> ... <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Description>virtio ethernet adapter on "VM Network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet3</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>virtio</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> """) def test_set_nic_type_no_existing(self): """Set NIC hardware type for an OVF with no NICs (no-op).""" self.command.package = self.minimal_ovf self.command.nic_type = "virtio" self.command.run() self.assertLogged(**self.NO_ITEMS_NO_WORK) self.command.finished() self.check_diff("", file1=self.minimal_ovf) def test_set_nic_count_add(self): """Add additional NICs across all profiles.""" self.command.package = self.input_ovf self.command.nics = 5 self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <ovf:Item> <rasd:AddressOnParent>12</rasd:AddressOnParent> ... </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <ovf:Item> <rasd:AddressOnParent>13</rasd:AddressOnParent> ... <rasd:InstanceID>13</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item> + <rasd:AddressOnParent>14</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:ElementName>Ethernet4</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item> + <rasd:AddressOnParent>15</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:ElementName>Ethernet5</rasd:ElementName> + <rasd:InstanceID>15</rasd:InstanceID> <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType>""") def test_set_nic_count_add_smart_networks(self): """Add additional NICs (and implicitly networks) across all profiles. In this OVF, each NIC is mapped to a unique network, so COT must be smart enough to create additional networks as well. """ self.command.package = self.csr_ovf self.command.nics = 6 self.command.run() self.command.finished() self.check_diff(""" <ovf:Description>Data network 3</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="GigabitEthernet4"> + <ovf:Description>Data network 4</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="GigabitEthernet5"> + <ovf:Description>Data network 5</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="GigabitEthernet6"> + <ovf:Description>Data network 6</ovf:Description> </ovf:Network> ... </ovf:Item> + <ovf:Item> + <rasd:AddressOnParent>14</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>GigabitEthernet4</rasd:Connection> + <rasd:Description>NIC representing GigabitEthernet4</rasd:Description> + <rasd:ElementName>GigabitEthernet4</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3 virtio</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item> + <rasd:AddressOnParent>15</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>GigabitEthernet5</rasd:Connection> + <rasd:Description>NIC representing GigabitEthernet5</rasd:Description> + <rasd:ElementName>GigabitEthernet5</rasd:ElementName> + <rasd:InstanceID>15</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3 virtio</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item> + <rasd:AddressOnParent>16</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>GigabitEthernet6</rasd:Connection> + <rasd:Description>NIC representing GigabitEthernet6</rasd:Description> + <rasd:ElementName>GigabitEthernet6</rasd:ElementName> + <rasd:InstanceID>16</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3 virtio</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection>""", file1=self.csr_ovf) def test_set_nic_count_named_nics_and_networks(self): """Add more NICs and explicitly named networks across all profiles. This tests a user-reported issue where COT gets confused because the base OVF uses the same strings for NIC and network names, but the desired output OVF does not. """ self.command.package = self.csr_ovf self.command.nics = 4 self.command.nic_names = ['GigabitEthernet{1}'] self.command.nic_networks = ["Alpha", "Beta", "Delta", "Gamma"] self.command.run() self.command.finished() self.assertLogged(**self.removing_network_message('GigabitEthernet1')) self.assertLogged(**self.removing_network_message('GigabitEthernet2')) self.assertLogged(**self.removing_network_message('GigabitEthernet3')) self.check_diff(""" <ovf:Info>The list of logical networks</ovf:Info> - <ovf:Network ovf:name="GigabitEthernet1"> - <ovf:Description>Data network 1</ovf:Description> + <ovf:Network ovf:name="Alpha"> + <ovf:Description>Alpha</ovf:Description> </ovf:Network> - <ovf:Network ovf:name="GigabitEthernet2"> - <ovf:Description>Data network 2</ovf:Description> + <ovf:Network ovf:name="Beta"> + <ovf:Description>Beta</ovf:Description> </ovf:Network> - <ovf:Network ovf:name="GigabitEthernet3"> - <ovf:Description>Data network 3</ovf:Description> + <ovf:Network ovf:name="Delta"> + <ovf:Description>Delta</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="Gamma"> + <ovf:Description>Gamma</ovf:Description> </ovf:Network> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>GigabitEthernet1</rasd:Connection> + <rasd:Connection>Alpha</rasd:Connection> <rasd:Description>NIC representing GigabitEthernet1</rasd:Description> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>GigabitEthernet2</rasd:Connection> + <rasd:Connection>Beta</rasd:Connection> <rasd:Description>NIC representing GigabitEthernet2</rasd:Description> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>GigabitEthernet3</rasd:Connection> + <rasd:Connection>Delta</rasd:Connection> <rasd:Description>NIC representing GigabitEthernet3</rasd:Description> ... <rasd:InstanceID>13</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3 virtio</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item> + <rasd:AddressOnParent>14</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>Gamma</rasd:Connection> + <rasd:Description>NIC representing GigabitEthernet4</rasd:Description> + <rasd:ElementName>GigabitEthernet4</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> <rasd:ResourceSubType>VMXNET3 virtio</rasd:ResourceSubType> """, file1=self.csr_ovf) def test_set_nic_count_merge_profiles(self): """Add NICs that already exist under one profile to another.""" self.command.package = self.input_ovf self.command.nics = 3 self.command.profiles = ['2CPU-2GB-1NIC'] self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <ovf:Item ovf:configuration="2CPU-2GB-1NIC 4CPU-4GB-3NIC"> <rasd:AddressOnParent>12</rasd:AddressOnParent> ... </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <ovf:Item ovf:configuration="2CPU-2GB-1NIC 4CPU-4GB-3NIC"> <rasd:AddressOnParent>13</rasd:AddressOnParent> """) def test_set_nic_count_create_new_one_profile(self): """Create a new NIC under a single profile.""" self.command.package = self.input_ovf self.command.nics = '4' self.command.profiles = ['4CPU-4GB-3NIC'] self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:AddressOnParent>14</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:ElementName>Ethernet4</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_nic_count_create_new_and_new_profile(self): """Create new NICs under a new profile. Test for issue #64.""" self.command.package = self.input_ovf self.command.nics = '4' self.command.profiles = ['4CPU-4GB-4NIC'] self.command.run() self.command.finished() self.check_diff(""" </ovf:Configuration> + <ovf:Configuration ovf:id="4CPU-4GB-4NIC"> + <ovf:Label>4CPU-4GB-4NIC</ovf:Label> + <ovf:Description>4CPU-4GB-4NIC</ovf:Description> + </ovf:Configuration> </ovf:DeploymentOptionSection> ... </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC 4CPU-4GB-4NIC"> <rasd:AddressOnParent>12</rasd:AddressOnParent> ... </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC 4CPU-4GB-4NIC"> <rasd:AddressOnParent>13</rasd:AddressOnParent> ... <rasd:InstanceID>13</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-4NIC"> + <rasd:AddressOnParent>14</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:ElementName>Ethernet4</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> """) def test_set_nic_count_create_new_and_split_new_profile(self): """Create new NICs under a new profile splitting from unified profile. Another test for issue #64. """ self.command.package = self.csr_ovf self.command.nics = '4' self.command.profiles = ['4CPU-4GB-4NIC'] self.command.run() self.command.finished() self.check_diff(file1=self.csr_ovf, expected=""" </ovf:Network> + <ovf:Network ovf:name="GigabitEthernet4"> + <ovf:Description>Data network 4</ovf:Description> + </ovf:Network> </ovf:NetworkSection> ... <ovf:Description>Large hardware profile (requires purchase of DRAM \ upgrade SKU) - 4 vCPUs, 8 GB RAM</ovf:Description> + </ovf:Configuration> + <ovf:Configuration ovf:id="4CPU-4GB-4NIC"> + <ovf:Label>4CPU-4GB-4NIC</ovf:Label> + <ovf:Description>4CPU-4GB-4NIC</ovf:Description> </ovf:Configuration> ... </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-4NIC"> + <rasd:AddressOnParent>14</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>GigabitEthernet4</rasd:Connection> + <rasd:Description>NIC representing GigabitEthernet4</rasd:Description> + <rasd:ElementName>GigabitEthernet4</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3 virtio</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_nic_count_delete_nics(self): """Set NIC count to a lower value, deleting some NICs.""" self.command.package = self.input_ovf self.command.nics = 0 self.command.profiles = ['1CPU-1GB-1NIC'] self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> - <ovf:Item> + <ovf:Item ovf:configuration="2CPU-2GB-1NIC 4CPU-4GB-3NIC"> <rasd:AddressOnParent>11</rasd:AddressOnParent> """) def test_set_nic_count_delete_nics_new_profile(self): """Set NIC count to a lower value under a newly created profile.""" self.command.package = self.csr_ovf self.command.nics = 1 self.command.profiles = ['1CPU-4GB-1NIC'] self.command.run() self.command.finished() self.check_diff(file1=self.csr_ovf, expected=""" </ovf:Configuration> + <ovf:Configuration ovf:id="1CPU-4GB-1NIC"> + <ovf:Label>1CPU-4GB-1NIC</ovf:Label> + <ovf:Description>1CPU-4GB-1NIC</ovf:Description> + </ovf:Configuration> </ovf:DeploymentOptionSection> ... </ovf:Item> - <ovf:Item> + <ovf:Item ovf:configuration="1CPU-4GB 2CPU-4GB 4CPU-4GB 4CPU-8GB"> <rasd:AddressOnParent>12</rasd:AddressOnParent> ... </ovf:Item> - <ovf:Item> + <ovf:Item ovf:configuration="1CPU-4GB 2CPU-4GB 4CPU-4GB 4CPU-8GB"> <rasd:AddressOnParent>13</rasd:AddressOnParent> """) def test_set_nic_count_no_existing(self): """Create a NIC when nothing pre-exists.""" self.command.package = self.minimal_ovf self.command.nics = 2 self.command.run() self.assertLogged(**self.NEW_HW_FROM_SCRATCH) self.assertLogged(**self.GENERIC_NETWORK) self.command.finished() self.check_diff(file1=self.minimal_ovf, expected=""" <?xml version='1.0' encoding='utf-8'?> -<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1"> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData"> <ovf:References /> + <ovf:NetworkSection> + <ovf:Info>Logical networks</ovf:Info> + <ovf:Network ovf:name="VM Network"> + <ovf:Description>VM Network</ovf:Description> + </ovf:Network> + </ovf:NetworkSection> <ovf:VirtualSystem ovf:id="x"> ... <ovf:Info /> + <ovf:Item> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:ElementName>Ethernet1</rasd:ElementName> + <rasd:InstanceID>1</rasd:InstanceID> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:ElementName>Ethernet2</rasd:ElementName> + <rasd:InstanceID>2</rasd:InstanceID> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_nic_count_zero_then_re_add(self): """Set NIC count to zero, then recreate the NICs.""" self.command.package = self.v09_ovf self.command.nics = 0 self.command.run() self.command.finished() self.assertLogged(**self.removing_network_message('bridged')) self.assertLogged(**self.REMOVING_NETWORKSECTION) self.command.package = self.temp_file self.command.nics = 1 self.command.run() self.assertLogged(**self.NEW_HW_FROM_SCRATCH) self.assertLogged(**self.GENERIC_NETWORK) self.command.finished() self.check_diff(file1=self.v09_ovf, expected=""" <ovf:Section xsi:type="ovf:NetworkSection_Type"> - <ovf:Info>The list of logical networks</ovf:Info> - <ovf:Network ovf:name="bridged"> - <ovf:Description>The bridged network</ovf:Description> + <ovf:Info>Logical networks</ovf:Info> + <ovf:Network ovf:name="VM Network"> + <ovf:Description>VM Network</ovf:Description> </ovf:Network> ... <ovf:Item> - <rasd:Caption>ethernet0</rasd:Caption> - <rasd:Description>PCNet32 ethernet adapter</rasd:Description> + <rasd:Caption>Ethernet1</rasd:Caption> <rasd:InstanceId>8</rasd:InstanceId> <rasd:ResourceType>10</rasd:ResourceType> - <rasd:ResourceSubType>PCNet32</rasd:ResourceSubType> - <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>bridged</rasd:Connection> - <rasd:AddressOnParent>1</rasd:AddressOnParent> + <rasd:Connection>VM Network</rasd:Connection> </ovf:Item> """) def test_set_nic_network_one_profile(self): """Create a new network and map a NIC to it under a single profile.""" # Create a new network and map to it under one profile # This involves splitting the existing NIC into two items self.command.package = self.input_ovf self.command.nic_networks = ['UT'] self.command.network_descriptions = ['Unit test network'] self.command.profiles = ['2CPU-2GB-1NIC'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Description>VM Network</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="UT"> + <ovf:Description>Unit test network</ovf:Description> </ovf:Network> ... </ovf:Item> + <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> + <rasd:AddressOnParent>11</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"</rasd:Description> + <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:InstanceID>11</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> """) def test_set_nic_network_all_profiles(self): """Test changing NIC network mapping across all profiles.""" self.command.package = self.input_ovf self.command.nic_networks = ['UT', 'UT', 'UT'] self.command.run() self.command.finished() self.assertLogged(**self.removing_network_message()) self.check_diff(""" <ovf:Info>The list of logical networks</ovf:Info> - <ovf:Network ovf:name="VM Network"> - <ovf:Description>VM Network</ovf:Description> + <ovf:Network ovf:name="UT"> + <ovf:Description>UT</ovf:Description> </ovf:Network> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"</rasd:Description> <rasd:ElementName>GigabitEthernet1</rasd:ElementName> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"</rasd:Description> <rasd:ElementName>GigabitEthernet2</rasd:ElementName> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"</rasd:Description> <rasd:ElementName>GigabitEthernet3</rasd:ElementName> """) def test_set_nic_network_list_expansion(self): """Specify fewer networks than NICs to test implicit NIC assignment. Also specify fewer network descriptions than networks. Remaining networks get the last description in the list. Remaining NICs get the last network in the list. """ self.command.package = self.input_ovf self.command.nic_networks = ['UT1', 'UT2'] self.command.network_descriptions = ['First UT'] self.command.run() self.command.finished() self.assertLogged(**self.removing_network_message()) self.check_diff(""" <ovf:Info>The list of logical networks</ovf:Info> - <ovf:Network ovf:name="VM Network"> - <ovf:Description>VM Network</ovf:Description> + <ovf:Network ovf:name="UT1"> + <ovf:Description>First UT</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="UT2"> + <ovf:Description>First UT</ovf:Description> </ovf:Network> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT1</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT1"</rasd:Description> <rasd:ElementName>GigabitEthernet1</rasd:ElementName> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT2</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT2"</rasd:Description> <rasd:ElementName>GigabitEthernet2</rasd:ElementName> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT2</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT2"</rasd:Description> <rasd:ElementName>GigabitEthernet3</rasd:ElementName> """) def test_set_nic_network_list_pattern(self): """Use wildcard expansion to create multiple networks as needed.""" self.command.package = self.input_ovf self.command.nic_networks = ["UT_{20}_network"] self.command.network_descriptions = ['First network', '#{2} Network'] self.command.run() self.command.finished() self.assertLogged(**self.removing_network_message()) self.check_diff(""" <ovf:Info>The list of logical networks</ovf:Info> - <ovf:Network ovf:name="VM Network"> - <ovf:Description>VM Network</ovf:Description> + <ovf:Network ovf:name="UT_20_network"> + <ovf:Description>First network</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="UT_21_network"> + <ovf:Description>#2 Network</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="UT_22_network"> + <ovf:Description>#3 Network</ovf:Description> </ovf:Network> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT_20_network</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT_20_network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet1</rasd:ElementName> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT_21_network</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT_21_network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet2</rasd:ElementName> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT_22_network</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT_22_network"\ </rasd:Description> <rasd:ElementName>GigabitEthernet3</rasd:ElementName> """) def test_set_network_description_only(self): """Set network descriptions without changing network names.""" self.command.package = self.input_ovf self.command.network_descriptions = ['Network 1', 'Network 2'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Network ovf:name="VM Network"> - <ovf:Description>VM Network</ovf:Description> + <ovf:Description>Network 1</ovf:Description> </ovf:Network> """) def test_set_nic_mac_address_single_all_profiles(self): """Set a single MAC address on all NICs on all profiles.""" self.command.package = self.input_ovf self.command.mac_addresses_list = ['10:20:30:40:50:60'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Item> + <rasd:Address>10:20:30:40:50:60</rasd:Address> <rasd:AddressOnParent>11</rasd:AddressOnParent> ... <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>10:20:30:40:50:60</rasd:Address> <rasd:AddressOnParent>12</rasd:AddressOnParent> ... <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>10:20:30:40:50:60</rasd:Address> <rasd:AddressOnParent>13</rasd:AddressOnParent> """) def test_set_nic_mac_addresses_list_all_profiles(self): """Set a sequence of MAC addresses for all profiles.""" self.command.package = self.input_ovf self.command.mac_addresses_list = \ ['10:20:30:40:50:60', '01:02:03:04:05:06', 'ab:cd:ef:00:00:00'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Item> + <rasd:Address>10:20:30:40:50:60</rasd:Address> <rasd:AddressOnParent>11</rasd:AddressOnParent> ... <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>01:02:03:04:05:06</rasd:Address> <rasd:AddressOnParent>12</rasd:AddressOnParent> ... <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>ab:cd:ef:00:00:00</rasd:Address> <rasd:AddressOnParent>13</rasd:AddressOnParent> """) def test_set_nic_name_list_exact(self): """Set a list of names identical in length to the number of NICs.""" self.command.package = self.input_ovf self.command.nic_names = ['foo', 'bar', 'baz'] self.command.run() self.command.finished() self.check_diff(""" <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:ElementName>foo</rasd:ElementName> <rasd:InstanceID>11</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet2</rasd:ElementName> + <rasd:ElementName>bar</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet3</rasd:ElementName> + <rasd:ElementName>baz</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> """) def test_set_nic_name_list_extra(self): """Set a list of NIC names that's longer than needed.""" self.command.package = self.input_ovf self.command.nic_names = ['foo', 'bar', 'baz', 'bat'] self.command.run() self.assertLogged(levelname="WARNING", msg="not all %s values were used", args=('ethernet', 'ElementName', ['bat'])) self.command.finished() self.check_diff(""" <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:ElementName>foo</rasd:ElementName> <rasd:InstanceID>11</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet2</rasd:ElementName> + <rasd:ElementName>bar</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet3</rasd:ElementName> + <rasd:ElementName>baz</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> """) def test_set_nic_name_list_short(self): """Set a list of NIC names that's shorter than needed.""" self.command.package = self.input_ovf self.command.nic_names = ['foo', 'bar'] self.command.run() self.command.finished() self.check_diff(""" <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:ElementName>foo</rasd:ElementName> <rasd:InstanceID>11</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet2</rasd:ElementName> + <rasd:ElementName>bar</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet3</rasd:ElementName> + <rasd:ElementName>bar</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> """) def test_set_nic_name_pattern(self): """Set NIC names based on a pattern.""" self.command.package = self.input_ovf self.command.nic_names = ['eth{0}'] self.command.run() self.command.finished() self.check_diff(""" <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:ElementName>eth0</rasd:ElementName> <rasd:InstanceID>11</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet2</rasd:ElementName> + <rasd:ElementName>eth1</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet3</rasd:ElementName> + <rasd:ElementName>eth2</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> """) def test_set_nic_name_list_pattern(self): """Set NIC names based on a constant plus a pattern.""" self.command.package = self.input_ovf self.command.nic_names = ['foo', 'eth{10}'] self.command.run() self.command.finished() self.check_diff(""" <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:ElementName>foo</rasd:ElementName> <rasd:InstanceID>11</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet2</rasd:ElementName> + <rasd:ElementName>eth10</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> ... <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet3</rasd:ElementName> + <rasd:ElementName>eth11</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> """) def test_deprecated_nic_type(self): """The nic_type method is deprecated by nic_types.""" self.command.package = self.input_ovf self.assertEqual(self.command.nic_type, None) self.command.nic_type = 'e1000' self.assertEqual(self.command.nic_type, 'E1000') self.assertEqual(self.command.nic_types, ['E1000']) self.command.nic_types = ['e1000', 'virtio'] self.assertEqual(self.command.nic_types, ['E1000', 'virtio']) with self.assertRaises(TypeError): assert self.command.nic_type def test_set_nic_kitchen_sink_all_profiles(self): """Test changing many NIC properties at once under all profiles.""" self.command.package = self.input_ovf self.command.nic_types = ['e1000', 'virtio'] self.command.nic_networks = ['UT1', 'UT2', 'UT3'] self.command.mac_addresses_list = \ ['00:00:00:00:00:01', '11:22:33:44:55:66', 'fe:fd:fc:fb:fa:f9'] self.command.run() self.command.finished() self.assertLogged(**self.removing_network_message()) self.check_diff(""" <ovf:Info>The list of logical networks</ovf:Info> - <ovf:Network ovf:name="VM Network"> - <ovf:Description>VM Network</ovf:Description> + <ovf:Network ovf:name="UT1"> + <ovf:Description>UT1</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="UT2"> + <ovf:Description>UT2</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="UT3"> + <ovf:Description>UT3</ovf:Description> </ovf:Network> ... <ovf:Item> + <rasd:Address>00:00:00:00:00:01</rasd:Address> <rasd:AddressOnParent>11</rasd:AddressOnParent> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT1</rasd:Connection> + <rasd:Description>E1000/virtio ethernet adapter on "UT1"\ </rasd:Description> <rasd:ElementName>GigabitEthernet1</rasd:ElementName> <rasd:InstanceID>11</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>E1000 virtio</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> ... <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>11:22:33:44:55:66</rasd:Address> <rasd:AddressOnParent>12</rasd:AddressOnParent> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT2</rasd:Connection> + <rasd:Description>E1000/virtio ethernet adapter on "UT2"\ </rasd:Description> <rasd:ElementName>GigabitEthernet2</rasd:ElementName> <rasd:InstanceID>12</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>E1000 virtio</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> ... <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>fe:fd:fc:fb:fa:f9</rasd:Address> <rasd:AddressOnParent>13</rasd:AddressOnParent> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT3</rasd:Connection> + <rasd:Description>E1000/virtio ethernet adapter on "UT3"\ </rasd:Description> <rasd:ElementName>GigabitEthernet3</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceSubType>E1000 virtio</rasd:ResourceSubType> <rasd:ResourceType>10</rasd:ResourceType> """) def test_set_nic_kitchen_sink_one_profile(self): """Test changing many NIC properties at once under one profile.""" self.command.package = self.input_ovf self.command.profiles = ['4CPU-4GB-3NIC'] self.command.nics = 4 self.command.nic_networks = ['UT'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Description>VM Network</ovf:Description> + </ovf:Network> + <ovf:Network ovf:name="UT"> + <ovf:Description>UT</ovf:Description> </ovf:Network> ... <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:AddressOnParent>11</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"\ </rasd:Description> + <rasd:ElementName>GigabitEthernet1</rasd:ElementName> + <rasd:InstanceID>11</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> <rasd:AddressOnParent>12</rasd:AddressOnParent> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"</rasd:Description> <rasd:ElementName>GigabitEthernet2</rasd:ElementName> ... <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"</rasd:Description> <rasd:ElementName>GigabitEthernet3</rasd:ElementName> <rasd:InstanceID>13</rasd:InstanceID> + <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:AddressOnParent>14</rasd:AddressOnParent> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Connection>UT</rasd:Connection> + <rasd:Description>VMXNET3 ethernet adapter on "UT"</rasd:Description> + <rasd:ElementName>Ethernet4</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> """) def test_set_nic_kitchen_sink_no_existing(self): """Define NIC in an OVF that previously had none.""" self.command.package = self.minimal_ovf self.command.nics = 1 self.command.nic_networks = ['testme'] self.command.nic_types = ['virtio-net-pci', 'e1000'] self.command.mac_addresses_list = ['12:34:56:78:9a:bc'] self.command.run() self.assertLogged(**self.NEW_HW_FROM_SCRATCH) self.command.finished() self.check_diff(file1=self.minimal_ovf, expected=""" <?xml version='1.0' encoding='utf-8'?> -<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1"> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData"> <ovf:References /> + <ovf:NetworkSection> + <ovf:Info>Logical networks</ovf:Info> + <ovf:Network ovf:name="testme"> + <ovf:Description>testme</ovf:Description> + </ovf:Network> + </ovf:NetworkSection> <ovf:VirtualSystem ovf:id="x"> ... <ovf:Info /> + <ovf:Item> + <rasd:Address>12:34:56:78:9a:bc</rasd:Address> + <rasd:Connection>testme</rasd:Connection> + <rasd:ElementName>Ethernet1</rasd:ElementName> + <rasd:InstanceID>1</rasd:InstanceID> + <rasd:ResourceSubType>virtio E1000</rasd:ResourceSubType> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_serial_count_delete_one_profile(self): """Remove a shared serial port from one profile only.""" self.command.package = self.input_ovf self.command.profiles = ['2CPU-2GB-1NIC'] self.command.serial_ports = 1 self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> - <ovf:Item ovf:required="false"> + <ovf:Item ovf:configuration="1CPU-1GB-1NIC 4CPU-4GB-3NIC" \ ovf:required="false"> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> """) def test_set_serial_count_delete_all_profiles(self): """Remove a serial port across all profiles.""" self.command.package = self.input_ovf self.command.serial_ports = 1 self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> - <ovf:Item ovf:required="false"> - <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Description>Serial Port acting as IOSd Aux Port\ </rasd:Description> - <rasd:ElementName>Serial 2</rasd:ElementName> - <rasd:InstanceID>10</rasd:InstanceID> - <rasd:ResourceType>21</rasd:ResourceType> - </ovf:Item> <ovf:Item> """) def test_set_serial_count_create_all_profiles(self): """Create a serial port under all profiles.""" self.command.package = self.input_ovf self.command.serial_ports = 3 self.command.run() self.command.finished() self.check_diff(""" </ovf:Item> + <ovf:Item ovf:required="false"> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Description>Serial Port acting as IOSd Aux Port\ </rasd:Description> + <rasd:ElementName>Serial 2</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> + <rasd:ResourceType>21</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_serial_count_no_existing(self): """Create a serial port in an OVF that had none.""" self.command.package = self.minimal_ovf self.command.serial_ports = 1 self.command.run() self.assertLogged(**self.NEW_HW_FROM_SCRATCH) self.command.finished() self.check_diff(file1=self.minimal_ovf, expected=""" <?xml version='1.0' encoding='utf-8'?> -<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1"> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData"> <ovf:References /> ... <ovf:Info /> + <ovf:Item> + <rasd:ElementName>serial</rasd:ElementName> + <rasd:InstanceID>1</rasd:InstanceID> + <rasd:ResourceType>21</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection> """) def test_set_serial_connectivity_one_port_all_profiles(self): """Set serial connectivity for one port under all profiles.""" self.command.package = self.input_ovf self.command.serial_connectivity = ['telnet://localhost:22001'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Item ovf:required="false"> + <rasd:Address>telnet://localhost:22001</rasd:Address> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> """) def test_set_serial_connectivity_two_ports_all_profiles(self): """Set serial connectivity for multiple ports across all profiles.""" self.command.package = self.input_ovf self.command.serial_connectivity = \ ['telnet://localhost:22001', 'telnet://localhost:22002'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Item ovf:required="false"> + <rasd:Address>telnet://localhost:22001</rasd:Address> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> ... <ovf:Item ovf:required="false"> + <rasd:Address>telnet://localhost:22002</rasd:Address> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> """) def test_serial_create_kitchen_sink(self): """Create a serial port and set connectivity in one pass.""" self.command.package = self.input_ovf self.command.serial_ports = '3' self.command.serial_connectivity = \ ['telnet://foo:1', 'telnet://foo:2', 'telnet://foo:3'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Item ovf:required="false"> + <rasd:Address>telnet://foo:1</rasd:Address> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> ... <ovf:Item ovf:required="false"> + <rasd:Address>telnet://foo:2</rasd:Address> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> ... <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> + <ovf:Item ovf:required="false"> + <rasd:Address>telnet://foo:3</rasd:Address> + <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> + <rasd:Description>Serial Port acting as IOSd Aux Port\ </rasd:Description> + <rasd:ElementName>Serial 2</rasd:ElementName> + <rasd:InstanceID>14</rasd:InstanceID> + <rasd:ResourceType>21</rasd:ResourceType> </ovf:Item> """) def test_serial_delete_kitchen_sink(self): """Delete a serial port and set connectivity in one pass.""" self.command.package = self.input_ovf self.command.serial_ports = 1 self.command.serial_connectivity = ['telnet://bar:22'] self.command.run() self.command.finished() self.check_diff(""" <ovf:Item ovf:required="false"> + <rasd:Address>telnet://bar:22</rasd:Address> <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> ... <rasd:InstanceID>9</rasd:InstanceID> - <rasd:ResourceType>21</rasd:ResourceType> - </ovf:Item> - <ovf:Item ovf:required="false"> - <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Description>Serial Port acting as IOSd Aux Port\ </rasd:Description> - <rasd:ElementName>Serial 2</rasd:ElementName> - <rasd:InstanceID>10</rasd:InstanceID> <rasd:ResourceType>21</rasd:ResourceType> """) def test_set_scsi_subtype_all_profiles(self): """Set SCSI controller subtype under all profiles.""" self.command.package = self.input_ovf self.command.scsi_subtype = "virtio" self.assertEqual(self.command.scsi_subtype, "virtio") self.command.run() self.command.finished() self.check_diff(""" <rasd:InstanceID>3</rasd:InstanceID> - <rasd:ResourceSubType>lsilogic</rasd:ResourceSubType> + <rasd:ResourceSubType>virtio</rasd:ResourceSubType> <rasd:ResourceType>6</rasd:ResourceType> """) def test_clear_scsi_subtype_all_profiles(self): """Clear SCSI controller subtype under all profiles.""" self.command.package = self.input_ovf # TODO: this should really be an empty list or None self.command.scsi_subtype = "" self.assertEqual(self.command.scsi_subtype, None) self.assertEqual(self.command.scsi_subtypes, []) self.command.run() self.command.finished() self.check_diff(""" <rasd:InstanceID>3</rasd:InstanceID> - <rasd:ResourceSubType>lsilogic</rasd:ResourceSubType> <rasd:ResourceType>6</rasd:ResourceType> """) def test_set_scsi_subtype_one_profile(self): """Set SCSI controller subtype under a single profile.""" self.command.package = self.input_ovf self.command.scsi_subtypes = ['buslogic', 'lsilogic'] self.assertEqual(self.command.scsi_subtypes, ['buslogic', 'lsilogic']) with self.assertRaises(TypeError): assert self.command.scsi_subtype self.command.profiles = ['4CPU-4GB-3NIC'] self.command.run() self.command.finished() # This requires creating a new variant of the SCSI controller # specific to this profile self.check_diff(""" </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>0</rasd:Address> + <rasd:Description>SCSI Controller</rasd:Description> + <rasd:ElementName>SCSI Controller 0</rasd:ElementName> + <rasd:InstanceID>3</rasd:InstanceID> + <rasd:ResourceSubType>buslogic lsilogic</rasd:ResourceSubType> + <rasd:ResourceType>6</rasd:ResourceType> + </ovf:Item> <ovf:Item> """) def test_set_scsi_subtype_no_existing(self): """Set SCSI controller subtype for an OVF with none (no-op).""" self.command.package = self.minimal_ovf self.assertEqual(self.command.scsi_subtype, None) self.assertEqual(self.command.scsi_subtypes, None) self.command.scsi_subtype = "virtualscsi" self.assertEqual(self.command.scsi_subtype, "VirtualSCSI") self.assertEqual(self.command.scsi_subtypes, ["VirtualSCSI"]) self.command.run() self.assertLogged(**self.NO_ITEMS_NO_WORK) self.command.finished() self.check_diff("", file1=self.minimal_ovf) def test_set_ide_subtype_all_profiles(self): """Set IDE controller subtype across all profiles.""" self.command.package = self.input_ovf self.command.ide_subtypes = ["virtio", "piix4"] self.assertEqual(self.command.ide_subtypes, ["virtio", "PIIX4"]) with self.assertRaises(TypeError): assert self.command.ide_subtype self.command.run() self.command.finished() # Since there is no pre-existing subtype, we just create it # under each controller: self.check_diff(""" <rasd:InstanceID>4</rasd:InstanceID> + <rasd:ResourceSubType>virtio PIIX4</rasd:ResourceSubType> <rasd:ResourceType>5</rasd:ResourceType> ... <rasd:InstanceID>5</rasd:InstanceID> + <rasd:ResourceSubType>virtio PIIX4</rasd:ResourceSubType> <rasd:ResourceType>5</rasd:ResourceType> """) def test_set_ide_subtype_one_profile(self): """Set IDE controller subtype under a single profile.""" self.command.package = self.input_ovf self.command.ide_subtype = "virtio" self.assertEqual(self.command.ide_subtype, "virtio") self.assertEqual(self.command.ide_subtypes, ["virtio"]) self.command.profiles = ['4CPU-4GB-3NIC'] self.command.run() self.command.finished() # Here we have to create new controllers under this profile # while leaving the default alone self.check_diff(""" </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>1</rasd:Address> + <rasd:Description>IDE Controller</rasd:Description> + <rasd:ElementName>VirtualIDEController 1</rasd:ElementName> + <rasd:InstanceID>4</rasd:InstanceID> + <rasd:ResourceSubType>virtio</rasd:ResourceSubType> + <rasd:ResourceType>5</rasd:ResourceType> + </ovf:Item> <ovf:Item> ... <rasd:InstanceID>5</rasd:InstanceID> + <rasd:ResourceType>5</rasd:ResourceType> + </ovf:Item> + <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> + <rasd:Address>0</rasd:Address> + <rasd:Description>IDE Controller</rasd:Description> + <rasd:ElementName>VirtualIDEController 0</rasd:ElementName> + <rasd:InstanceID>5</rasd:InstanceID> + <rasd:ResourceSubType>virtio</rasd:ResourceSubType> <rasd:ResourceType>5</rasd:ResourceType> """) def test_set_ide_subtype_no_existing(self): """Set IDE controller subtype for an OVF with none (no-op).""" self.command.package = self.minimal_ovf self.assertEqual(self.command.ide_subtype, None) self.assertEqual(self.command.ide_subtypes, None) self.command.ide_subtype = "virtio" self.command.run() self.assertLogged(**self.NO_ITEMS_NO_WORK) self.command.finished() self.check_diff("", file1=self.minimal_ovf) def test_create_profile_inherit_default(self): """Create a new profile that's identical to the default one.""" self.command.package = self.input_ovf self.command.profiles = ['UT'] self.command.cpus = 1 self.command.run() self.command.finished() self.check_diff(""" </ovf:Configuration> + <ovf:Configuration ovf:id="UT"> + <ovf:Label>UT</ovf:Label> + <ovf:Description>UT</ovf:Description> + </ovf:Configuration> </ovf:DeploymentOptionSection> """) def test_create_new_profile(self): """Create a new profile with new values.""" self.command.package = self.input_ovf self.command.profiles = ['UT'] self.command.cpus = 8 self.command.run() self.command.finished() self.check_diff(""" </ovf:Configuration> + <ovf:Configuration ovf:id="UT"> + <ovf:Label>UT</ovf:Label> + <ovf:Description>UT</ovf:Description> + </ovf:Configuration> </ovf:DeploymentOptionSection> ... </ovf:Item> + <ovf:Item ovf:configuration="UT"> + <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> + <rasd:Description>Number of Virtual CPUs</rasd:Description> + <rasd:ElementName>8 virtual CPU(s)</rasd:ElementName> + <rasd:InstanceID>1</rasd:InstanceID> + <rasd:ResourceType>3</rasd:ResourceType> + <rasd:VirtualQuantity>8</rasd:VirtualQuantity> + <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> + </ovf:Item> <ovf:Item> """) def test_create_two_profiles(self): """Create two profiles at once.""" self.command.package = self.input_ovf self.command.profiles = ['UT', 'UT2'] self.command.memory = 8192 self.assertLogged(**self.MEMORY_UNIT_GUESS) self.command.run() self.command.finished() self.check_diff(""" </ovf:Configuration> + <ovf:Configuration ovf:id="UT"> + <ovf:Label>UT</ovf:Label> + <ovf:Description>UT</ovf:Description> + </ovf:Configuration> + <ovf:Configuration ovf:id="UT2"> + <ovf:Label>UT2</ovf:Label> + <ovf:Description>UT2</ovf:Description> + </ovf:Configuration> </ovf:DeploymentOptionSection> ... </ovf:Item> + <ovf:Item ovf:configuration="UT UT2"> + <rasd:AllocationUnits>byte * 2^20</rasd:AllocationUnits> + <rasd:Description>Memory Size</rasd:Description> + <rasd:ElementName>8192MB of memory</rasd:ElementName> + <rasd:InstanceID>2</rasd:InstanceID> + <rasd:ResourceType>4</rasd:ResourceType> + <rasd:VirtualQuantity>8192</rasd:VirtualQuantity> + </ovf:Item> <ovf:Item> """) def test_create_profile_no_existing(self): """Add a profile to an OVF that doesn't have any.""" self.command.package = self.minimal_ovf self.command.profiles = ['UT'] self.command.run() self.command.finished() self.check_diff(file1=self.minimal_ovf, expected=""" <ovf:References /> + <ovf:DeploymentOptionSection> + <ovf:Info>Configuration Profiles</ovf:Info> + <ovf:Configuration ovf:id="UT"> + <ovf:Label>UT</ovf:Label> + <ovf:Description>UT</ovf:Description> + </ovf:Configuration> + </ovf:DeploymentOptionSection> <ovf:VirtualSystem ovf:id="x"> """) def test_delete_one_profile(self): """Delete one configuration profile.""" self.command.package = self.input_ovf self.command.profiles = ['1CPU-1GB-1NIC', '4CPU-4GB-3NIC'] self.command.delete_all_other_profiles = True self.command.run() self.command.finished() self.check_diff(""" </ovf:Configuration> - <ovf:Configuration ovf:id="2CPU-2GB-1NIC"> - <ovf:Label>2 vCPUs, 2 GB RAM, 1 NIC</ovf:Label> - <ovf:Description>Minimal hardware profile - 2 vCPUs, 2 GB RAM, \ 1 NIC</ovf:Description> - </ovf:Configuration> <ovf:Configuration ovf:default="true" ovf:id="4CPU-4GB-3NIC"> ... </ovf:Item> - <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> - <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> - <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>2 virtual CPU(s)</rasd:ElementName> - <rasd:InstanceID>1</rasd:InstanceID> - <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>2</rasd:VirtualQuantity> - <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> - </ovf:Item> <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> ... <rasd:VirtualQuantity>1024</rasd:VirtualQuantity> - </ovf:Item> - <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> - <rasd:AllocationUnits>byte * 2^20</rasd:AllocationUnits> - <rasd:Description>Memory Size</rasd:Description> - <rasd:ElementName>2048MB of memory</rasd:ElementName> - <rasd:InstanceID>2</rasd:InstanceID> - <rasd:ResourceType>4</rasd:ResourceType> - <rasd:VirtualQuantity>2048</rasd:VirtualQuantity> </ovf:Item> """) def test_delete_all_profiles(self): """Delete all configuration profiles, leaving only the default hw.""" self.command.package = self.input_ovf self.command.delete_all_other_profiles = True self.command.run() self.command.finished() self.check_diff(""" </ovf:NetworkSection> - <ovf:DeploymentOptionSection> - <ovf:Info>Configuration Profiles</ovf:Info> - <ovf:Configuration ovf:id="1CPU-1GB-1NIC"> - <ovf:Label>1 vCPU, 1 GB RAM, 1 NIC</ovf:Label> - <ovf:Description>Minimal hardware profile - 1 vCPU, 1 GB RAM, 1 NIC\ </ovf:Description> - </ovf:Configuration> - <ovf:Configuration ovf:id="2CPU-2GB-1NIC"> - <ovf:Label>2 vCPUs, 2 GB RAM, 1 NIC</ovf:Label> - <ovf:Description>Minimal hardware profile - 2 vCPUs, 2 GB RAM, 1 NIC\ </ovf:Description> - </ovf:Configuration> - <ovf:Configuration ovf:default="true" ovf:id="4CPU-4GB-3NIC"> - <ovf:Label>4 vCPUs, 4 GB RAM, 3 NICs</ovf:Label> - <ovf:Description>Default hardware profile - 4 vCPUs, 4 GB RAM, 3 NICs\ </ovf:Description> - </ovf:Configuration> - </ovf:DeploymentOptionSection> <ovf:VirtualSystem ovf:id="test"> ... </ovf:Item> - <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> - <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> - <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>2 virtual CPU(s)</rasd:ElementName> - <rasd:InstanceID>1</rasd:InstanceID> - <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>2</rasd:VirtualQuantity> - <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> - </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> - <rasd:AllocationUnits>hertz * 10^6</rasd:AllocationUnits> - <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>4 virtual CPU(s)</rasd:ElementName> - <rasd:InstanceID>1</rasd:InstanceID> - <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>4</rasd:VirtualQuantity> - <vmw:CoresPerSocket ovf:required="false">1</vmw:CoresPerSocket> - </ovf:Item> <ovf:Item> ... <rasd:VirtualQuantity>1024</rasd:VirtualQuantity> - </ovf:Item> - <ovf:Item ovf:configuration="2CPU-2GB-1NIC"> - <rasd:AllocationUnits>byte * 2^20</rasd:AllocationUnits> - <rasd:Description>Memory Size</rasd:Description> - <rasd:ElementName>2048MB of memory</rasd:ElementName> - <rasd:InstanceID>2</rasd:InstanceID> - <rasd:ResourceType>4</rasd:ResourceType> - <rasd:VirtualQuantity>2048</rasd:VirtualQuantity> - </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> - <rasd:AllocationUnits>byte * 2^20</rasd:AllocationUnits> - <rasd:Description>Memory Size</rasd:Description> - <rasd:ElementName>4096MB of memory</rasd:ElementName> - <rasd:InstanceID>2</rasd:InstanceID> - <rasd:ResourceType>4</rasd:ResourceType> - <rasd:VirtualQuantity>4096</rasd:VirtualQuantity> </ovf:Item> ... </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> - <rasd:AddressOnParent>12</rasd:AddressOnParent> - <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet2</rasd:ElementName> - <rasd:InstanceID>12</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> - <rasd:ResourceType>10</rasd:ResourceType> - </ovf:Item> - <ovf:Item ovf:configuration="4CPU-4GB-3NIC"> - <rasd:AddressOnParent>13</rasd:AddressOnParent> - <rasd:AutomaticAllocation>true</rasd:AutomaticAllocation> - <rasd:Connection>VM Network</rasd:Connection> - <rasd:Description>VMXNET3 ethernet adapter on "VM Network"\ </rasd:Description> - <rasd:ElementName>GigabitEthernet3</rasd:ElementName> - <rasd:InstanceID>13</rasd:InstanceID> - <rasd:ResourceSubType>VMXNET3</rasd:ResourceSubType> - <rasd:ResourceType>10</rasd:ResourceType> - </ovf:Item> </ovf:VirtualHardwareSection> """) def test_create_delete_network_no_existing(self): """Create then delete a network in an OVF with none previously.""" self.command.package = self.minimal_ovf self.command.nic_networks = ["VM Network", "Foobar"] self.command.nics = 1 self.command.run() self.assertLogged(**self.NEW_HW_FROM_SCRATCH) self.assertLogged(levelname="WARNING", msg="not all %s values were used", args=('ethernet', 'Connection', ['Foobar'])) self.command.finished() # network 'Foobar' is not used, so it'll be deleted self.assertLogged(**self.removing_network_message('Foobar')) self.check_diff(file1=self.minimal_ovf, expected=""" <?xml version='1.0' encoding='utf-8'?> -<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1"> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData"> <ovf:References /> + <ovf:NetworkSection> + <ovf:Info>Logical networks</ovf:Info> + <ovf:Network ovf:name="VM Network"> + <ovf:Description>VM Network</ovf:Description> + </ovf:Network> + </ovf:NetworkSection> <ovf:VirtualSystem ovf:id="x"> ... <ovf:Info /> + <ovf:Item> + <rasd:Connection>VM Network</rasd:Connection> + <rasd:ElementName>Ethernet1</rasd:ElementName> + <rasd:InstanceID>1</rasd:InstanceID> + <rasd:ResourceType>10</rasd:ResourceType> + </ovf:Item> </ovf:VirtualHardwareSection> """) self.command.destroy() self.command = None self.validate_with_ovftool(self.temp_file) # Now remove all NICs and make sure it's cleaned back up self.command = COTEditHardware(UI()) self.command.output = self.temp_file self.command.package = self.temp_file self.command.nics = 0 self.command.run() self.command.finished() self.assertLogged(**self.removing_network_message()) self.assertLogged(**self.REMOVING_NETWORKSECTION) self.check_diff(file1=self.temp_file, file2=self.minimal_ovf, expected="") def test_set_cpus_v09(self): """Test CPU count settings with a v0.9 OVF.""" self.command.package = self.v09_ovf self.command.cpus = 2 self.command.run() self.command.finished() self.check_diff(file1=self.v09_ovf, expected=""" <ovf:Item> - <rasd:Caption>1 virtual CPU(s)</rasd:Caption> + <rasd:Caption>2 virtual CPU(s)</rasd:Caption> <rasd:Description>Number of Virtual CPUs</rasd:Description> ... <rasd:AllocationUnits>MegaHertz</rasd:AllocationUnits> - <rasd:VirtualQuantity>1</rasd:VirtualQuantity> + <rasd:VirtualQuantity>2</rasd:VirtualQuantity> </ovf:Item> """) def test_set_cpus_vmware(self): """Test CPU setting with a VMWare OVF.""" self.command.package = self.vmware_ovf self.command.cpus = 4 self.command.run() self.command.finished() self.check_diff(file1=self.vmware_ovf, expected=""" -<?xml version="1.0" encoding="UTF-8"?> -<ovf:Envelope vmw:buildId="build-880146" \ xmlns="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:cim="http://schemas.dmtf.org/wbem/wscim/1/common" \ xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData" \ xmlns:vmw="http://www.vmware.com/schema/ovf" \ xmlns:vssd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_VirtualSystemSettingData" \ xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"> +<?xml version='1.0' encoding='utf-8'?> +<ovf:Envelope xmlns:ovf="http://schemas.dmtf.org/ovf/envelope/1" \ xmlns:rasd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_ResourceAllocationSettingData" \ xmlns:vmw="http://www.vmware.com/schema/ovf" \ xmlns:vssd="http://schemas.dmtf.org/wbem/wscim/1/cim-schema/2/\ CIM_VirtualSystemSettingData" vmw:buildId="build-880146"> <ovf:References> ... <rasd:Description>Number of Virtual CPUs</rasd:Description> - <rasd:ElementName>2 virtual CPU(s)</rasd:ElementName> + <rasd:ElementName>4 virtual CPU(s)</rasd:ElementName> <rasd:InstanceID>1</rasd:InstanceID> ... <rasd:ResourceType>3</rasd:ResourceType> - <rasd:VirtualQuantity>2</rasd:VirtualQuantity> + <rasd:VirtualQuantity>4</rasd:VirtualQuantity> <vmw:CoresPerSocket ovf:required="false">2</vmw:CoresPerSocket> ... </ovf:VirtualSystem> -</ovf:Envelope> +</ovf:Envelope> """) # noqa - trailing whitespace above is in base file

[ "[email protected]" ]

[email protected]

27f37a64fd56abf5c84a6de0d251780d79d6574c

f889bc01147869459c0a516382e7b95221295a7b

/swagger_client/models/body_19.py

c3a0a50364961c0b3731d25640fcee6a6b0617c9

[]

no_license

wildatheart/magento2-api-client

249a86f5c0289743f8df5b0324ccabd76f326512

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# coding: utf-8 """ Magento Community No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 2.2 Generated by: https://github.com/swagger-api/swagger-codegen.git """ from pprint import pformat from six import iteritems import re class Body19(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 = { 'product': 'CatalogDataProductInterface', 'save_options': 'bool' } attribute_map = { 'product': 'product', 'save_options': 'saveOptions' } def __init__(self, product=None, save_options=None): """ Body19 - a model defined in Swagger """ self._product = None self._save_options = None self.product = product if save_options is not None: self.save_options = save_options @property def product(self): """ Gets the product of this Body19. :return: The product of this Body19. :rtype: CatalogDataProductInterface """ return self._product @product.setter def product(self, product): """ Sets the product of this Body19. :param product: The product of this Body19. :type: CatalogDataProductInterface """ if product is None: raise ValueError("Invalid value for `product`, must not be `None`") self._product = product @property def save_options(self): """ Gets the save_options of this Body19. :return: The save_options of this Body19. :rtype: bool """ return self._save_options @save_options.setter def save_options(self, save_options): """ Sets the save_options of this Body19. :param save_options: The save_options of this Body19. :type: bool """ self._save_options = save_options 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, Body19): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """ Returns true if both objects are not equal """ return not self == other

[ "[email protected]" ]

[email protected]

f4bac242f4ebcee19ff5f95406e835f40256a054

6118f2fa2be32a1b1d50a0965f7fa3e137b408bc

/examples/increment.py

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[ "MIT" ]

permissive

eerimoq/mqttools

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import asyncio import mqttools HOST = 'localhost' PORT = 1883 async def main(): client = mqttools.Client(HOST, PORT) await client.start() print(f'Connected to {HOST}:{PORT}.') await client.subscribe('/mqttools/incrementer/value/request') print('Subscribed to topic /mqttools/incrementer/value/request.') while True: message = await client.messages.get() if message is None: print('Broker connection lost!') break count = int(message.message) print(f'Request count: {count}') count += 1 print(f'Response count: {count}') client.publish(mqttools.Message('/mqttools/counter-client/value/response', str(count).encode('ascii'))) asyncio.run(main())

[ "[email protected]" ]

[email protected]

5c41edc54e8e9283a6870f5b3623e2c2ac088296

5a52ccea88f90dd4f1acc2819997fce0dd5ffb7d

/alipay/aop/api/response/AlipayOpenPublicTopicModifyResponse.py

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permissive

alipay/alipay-sdk-python-all

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#!/usr/bin/env python # -*- coding: utf-8 -*- import json from alipay.aop.api.response.AlipayResponse import AlipayResponse class AlipayOpenPublicTopicModifyResponse(AlipayResponse): def __init__(self): super(AlipayOpenPublicTopicModifyResponse, self).__init__() def parse_response_content(self, response_content): response = super(AlipayOpenPublicTopicModifyResponse, self).parse_response_content(response_content)

[ "[email protected]" ]

[email protected]

c0501cb9929bcf12f787d370a8a1d9c9a0509d34

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/4/usersdata/133/2972/submittedfiles/swamee.py

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[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

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# -*- coding: utf-8 -*- from __future__ import division import math #COMECE SEU CÓDIGO AQUI f=input('Digite o valor de f:') l=input('Digite o valor de l:') q=input('Digite o valor de q:') deltah=input('Digite o valor de deltah:') v=input('Digite o valor de v:') D = ((8*f*l*(q*q))/(((math.pi)**2)*9.81*deltah))**0.2 Rey = (4*q)/((math.pi)*D*v) k = (0.25)/((math.log10((0.000002)/(3.7*D) + (5.74)/((Rey)**0.9)))**0.5) print('%.4f, %.4f, %.4f' %D %Rey %k)

[ "[email protected]" ]

[email protected]

9a6213180a3b7206990f12a3342fc9c1ae19a54d

01733042e84a768b77f64ec24118d0242b2f13b8

/uhd_restpy/testplatform/sessions/ixnetwork/quicktest/traffictest_9709f3566877e5d5fb6ae115268058c6.py

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permissive

slieberth/ixnetwork_restpy

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refs/heads/master

2023-01-04T06:57:17.513612

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# MIT LICENSE # # Copyright 1997 - 2020 by IXIA Keysight # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), # to deal in the Software without restriction, including without limitation # the rights to use, copy, modify, merge, publish, distribute, sublicense, # and/or sell copies of the Software, and to permit persons to whom the # Software is furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. from uhd_restpy.base import Base from uhd_restpy.files import Files class TrafficTest(Base): """ The TrafficTest class encapsulates a list of trafficTest resources that are managed by the user. A list of resources can be retrieved from the server using the TrafficTest.find() method. The list can be managed by using the TrafficTest.add() and TrafficTest.remove() methods. """ __slots__ = () _SDM_NAME = 'trafficTest' _SDM_ATT_MAP = { 'ForceApplyQTConfig': 'forceApplyQTConfig', 'InputParameters': 'inputParameters', 'Mode': 'mode', 'Name': 'name', } def __init__(self, parent): super(TrafficTest, self).__init__(parent) @property def Results(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.quicktest.results_23583c0cce1dabf7b75fe7d2ae18cfc4.Results): An instance of the Results class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.quicktest.results_23583c0cce1dabf7b75fe7d2ae18cfc4 import Results return Results(self)._select() @property def TestConfig(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.quicktest.testconfig_e903cacf836ab6df3c51be95da4a21df.TestConfig): An instance of the TestConfig class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.quicktest.testconfig_e903cacf836ab6df3c51be95da4a21df import TestConfig return TestConfig(self)._select() @property def TrafficSelection(self): """ Returns ------- - obj(uhd_restpy.testplatform.sessions.ixnetwork.quicktest.trafficselection_22c0efed3052ed5002942a33e331fb3b.TrafficSelection): An instance of the TrafficSelection class Raises ------ - ServerError: The server has encountered an uncategorized error condition """ from uhd_restpy.testplatform.sessions.ixnetwork.quicktest.trafficselection_22c0efed3052ed5002942a33e331fb3b import TrafficSelection return TrafficSelection(self) @property def ForceApplyQTConfig(self): """ Returns ------- - bool: Apply QT config """ return self._get_attribute(self._SDM_ATT_MAP['ForceApplyQTConfig']) @ForceApplyQTConfig.setter def ForceApplyQTConfig(self, value): self._set_attribute(self._SDM_ATT_MAP['ForceApplyQTConfig'], value) @property def InputParameters(self): """ Returns ------- - str: Input Parameters """ return self._get_attribute(self._SDM_ATT_MAP['InputParameters']) @InputParameters.setter def InputParameters(self, value): self._set_attribute(self._SDM_ATT_MAP['InputParameters'], value) @property def Mode(self): """ Returns ------- - str(existingMode | newMode): Test mode """ return self._get_attribute(self._SDM_ATT_MAP['Mode']) @Mode.setter def Mode(self, value): self._set_attribute(self._SDM_ATT_MAP['Mode'], value) @property def Name(self): """ Returns ------- - str: Test name """ return self._get_attribute(self._SDM_ATT_MAP['Name']) @Name.setter def Name(self, value): self._set_attribute(self._SDM_ATT_MAP['Name'], value) def update(self, ForceApplyQTConfig=None, InputParameters=None, Mode=None, Name=None): """Updates trafficTest resource on the server. Args ---- - ForceApplyQTConfig (bool): Apply QT config - InputParameters (str): Input Parameters - Mode (str(existingMode | newMode)): Test mode - Name (str): Test name Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._update(self._map_locals(self._SDM_ATT_MAP, locals())) def add(self, ForceApplyQTConfig=None, InputParameters=None, Mode=None, Name=None): """Adds a new trafficTest resource on the server and adds it to the container. Args ---- - ForceApplyQTConfig (bool): Apply QT config - InputParameters (str): Input Parameters - Mode (str(existingMode | newMode)): Test mode - Name (str): Test name Returns ------- - self: This instance with all currently retrieved trafficTest resources using find and the newly added trafficTest resources available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._create(self._map_locals(self._SDM_ATT_MAP, locals())) def remove(self): """Deletes all the contained trafficTest resources in this instance from the server. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ self._delete() def find(self, ForceApplyQTConfig=None, InputParameters=None, Mode=None, Name=None): """Finds and retrieves trafficTest resources from the server. All named parameters are evaluated on the server using regex. The named parameters can be used to selectively retrieve trafficTest resources from the server. To retrieve an exact match ensure the parameter value starts with ^ and ends with $ By default the find method takes no parameters and will retrieve all trafficTest resources from the server. Args ---- - ForceApplyQTConfig (bool): Apply QT config - InputParameters (str): Input Parameters - Mode (str(existingMode | newMode)): Test mode - Name (str): Test name Returns ------- - self: This instance with matching trafficTest resources retrieved from the server available through an iterator or index Raises ------ - ServerError: The server has encountered an uncategorized error condition """ return self._select(self._map_locals(self._SDM_ATT_MAP, locals())) def read(self, href): """Retrieves a single instance of trafficTest data from the server. Args ---- - href (str): An href to the instance to be retrieved Returns ------- - self: This instance with the trafficTest resources from the server available through an iterator or index Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ return self._read(href) def Apply(self): """Executes the apply operation on the server. Applies the specified Quick Test. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('apply', payload=payload, response_object=None) def ApplyAsync(self): """Executes the applyAsync operation on the server. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('applyAsync', payload=payload, response_object=None) def ApplyAsyncResult(self): """Executes the applyAsyncResult operation on the server. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('applyAsyncResult', payload=payload, response_object=None) def ApplyITWizardConfiguration(self): """Executes the applyITWizardConfiguration operation on the server. Applies the specified Quick Test. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('applyITWizardConfiguration', payload=payload, response_object=None) def GenerateReport(self): """Executes the generateReport operation on the server. Generate a PDF report for the last succesfull test run. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('generateReport', payload=payload, response_object=None) def Run(self, *args, **kwargs): """Executes the run operation on the server. Starts the specified Quick Test and waits for its execution to finish. The IxNetwork model allows for multiple method Signatures with the same name while python does not. run(InputParameters=string)list ------------------------------- - InputParameters (str): The input arguments of the test. - Returns list(str): This method is synchronous and returns the result of the test. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('run', payload=payload, response_object=None) def Start(self, *args, **kwargs): """Executes the start operation on the server. Starts the specified Quick Test. The IxNetwork model allows for multiple method Signatures with the same name while python does not. start(InputParameters=string) ----------------------------- - InputParameters (str): The input arguments of the test. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } for i in range(len(args)): payload['Arg%s' % (i + 2)] = args[i] for item in kwargs.items(): payload[item[0]] = item[1] return self._execute('start', payload=payload, response_object=None) def Stop(self): """Executes the stop operation on the server. Stops the currently running Quick Test. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('stop', payload=payload, response_object=None) def WaitForTest(self): """Executes the waitForTest operation on the server. Waits for the execution of the specified Quick Test to be completed. Raises ------ - NotFoundError: The requested resource does not exist on the server - ServerError: The server has encountered an uncategorized error condition """ payload = { "Arg1": self.href } return self._execute('waitForTest', payload=payload, response_object=None)

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[email protected]

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/capture_tag/templatetags/capture_tags.py

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edoburu/django-capture-tag

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from django.template import Library, Node, TemplateSyntaxError register = Library() @register.tag(name="capture") def do_capture(parser, token): """ Capture the contents of a tag output. Usage: .. code-block:: html+django {% capture %}..{% endcapture %} # output in {{ capture }} {% capture silent %}..{% endcapture %} # output in {{ capture }} only {% capture as varname %}..{% endcapture %} # output in {{ varname }} {% capture as varname silent %}..{% endcapture %} # output in {{ varname }} only For example: .. code-block:: html+django {# Allow templates to override the page title/description #} <meta name="description" content="{% capture as meta_description %}{% block meta-description %}{% endblock %}{% endcapture %}" /> <title>{% capture as meta_title %}{% block meta-title %}Untitled{% endblock %}{% endcapture %}</title> {# copy the values to the Social Media meta tags #} <meta property="og:description" content="{% block og-description %}{{ meta_description }}{% endblock %}" /> <meta name="twitter:title" content="{% block twitter-title %}{{ meta_title }}{% endblock %}" /> """ bits = token.split_contents() # tokens t_as = "as" t_silent = "silent" var = "capture" silent = False num_bits = len(bits) if len(bits) > 4: raise TemplateSyntaxError("'capture' node supports '[as variable] [silent]' parameters.") elif num_bits == 4: t_name, t_as, var, t_silent = bits silent = True elif num_bits == 3: t_name, t_as, var = bits elif num_bits == 2: t_name, t_silent = bits silent = True else: var = "capture" silent = False if t_silent != "silent" or t_as != "as": raise TemplateSyntaxError("'capture' node expects 'as variable' or 'silent' syntax.") nodelist = parser.parse(("endcapture",)) parser.delete_first_token() return CaptureNode(nodelist, var, silent) class CaptureNode(Node): def __init__(self, nodelist, varname, silent): self.nodelist = nodelist self.varname = varname self.silent = silent def render(self, context): output = self.nodelist.render(context) context[self.varname] = output if self.silent: return "" else: return output

[ "[email protected]" ]

[email protected]

7f50743de0d5d46bbfdc8495e78fe260fec55f25

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/sdk/communication/azure-communication-chat/tests/test_chat_thread_client_e2e_async.py

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paultaiton/azure-sdk-for-python

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# ------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # -------------------------------------------------------------------------- import pytest import asyncio import os from datetime import datetime from msrest.serialization import TZ_UTC from azure.communication.administration import CommunicationIdentityClient from azure.communication.chat.aio import ( ChatClient, CommunicationUserCredential ) from azure.communication.chat import ( ChatThreadMember, ChatMessagePriority ) from azure.communication.administration._shared.utils import parse_connection_str from azure_devtools.scenario_tests import RecordingProcessor from helper import URIIdentityReplacer from chat_e2e_helper import ChatURIReplacer from _shared.asynctestcase import AsyncCommunicationTestCase from _shared.testcase import BodyReplacerProcessor, ResponseReplacerProcessor class ChatThreadClientTestAsync(AsyncCommunicationTestCase): def setUp(self): super(ChatThreadClientTestAsync, self).setUp() self.recording_processors.extend([ BodyReplacerProcessor(keys=["id", "token", "senderId", "chatMessageId", "nextLink", "members", "multipleStatus", "value"]), URIIdentityReplacer(), ResponseReplacerProcessor(keys=[self._resource_name]), ChatURIReplacer()]) endpoint, _ = parse_connection_str(self.connection_str) self.endpoint = endpoint self.identity_client = CommunicationIdentityClient.from_connection_string(self.connection_str) # create user self.user = self.identity_client.create_user() token_response = self.identity_client.issue_token(self.user, scopes=["chat"]) self.token = token_response.token # create another user self.new_user = self.identity_client.create_user() # create ChatClient self.chat_client = ChatClient(self.endpoint, CommunicationUserCredential(self.token)) def tearDown(self): super(ChatThreadClientTestAsync, self).tearDown() # delete created users if not self.is_playback(): self.identity_client.delete_user(self.user) self.identity_client.delete_user(self.new_user) async def _create_thread(self): # create chat thread topic = "test topic" share_history_time = datetime.utcnow() share_history_time = share_history_time.replace(tzinfo=TZ_UTC) members = [ChatThreadMember( user=self.user, display_name='name', share_history_time=share_history_time )] self.chat_thread_client = await self.chat_client.create_chat_thread(topic, members) self.thread_id = self.chat_thread_client.thread_id async def _send_message(self): # send a message priority = ChatMessagePriority.NORMAL content = 'hello world' sender_display_name = 'sender name' create_message_result = await self.chat_thread_client.send_message( content, priority=priority, sender_display_name=sender_display_name) self.message_id = create_message_result.id @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_update_thread(self): async with self.chat_client: await self._create_thread() topic = "update topic" async with self.chat_thread_client: await self.chat_thread_client.update_thread(topic=topic) # delete chat threads if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_send_message(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: priority = ChatMessagePriority.NORMAL content = 'hello world' sender_display_name = 'sender name' create_message_result = await self.chat_thread_client.send_message( content, priority=priority, sender_display_name=sender_display_name) self.assertTrue(create_message_result.id) # delete chat threads if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_get_message(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: await self._send_message() message = await self.chat_thread_client.get_message(self.message_id) assert message.id == self.message_id # delete chat threads if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_list_messages(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: await self._send_message() if self.is_live: await asyncio.sleep(2) chat_messages = self.chat_thread_client.list_messages(results_per_page=1) items = [] async for item in chat_messages: items.append(item) assert len(items) > 0 # delete chat threads if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_update_message(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: await self._send_message() content = "updated message content" await self.chat_thread_client.update_message(self.message_id, content=content) # delete chat threads if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_delete_message(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: await self._send_message() await self.chat_thread_client.delete_message(self.message_id) # delete chat threads if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_list_members(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: chat_thread_members = self.chat_thread_client.list_members() items = [] async for item in chat_thread_members: items.append(item) assert len(items) == 1 # delete chat threads if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_add_members(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: share_history_time = datetime.utcnow() share_history_time = share_history_time.replace(tzinfo=TZ_UTC) new_member = ChatThreadMember( user=self.new_user, display_name='name', share_history_time=share_history_time) members = [new_member] await self.chat_thread_client.add_members(members) if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_remove_member(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: # add member first share_history_time = datetime.utcnow() share_history_time = share_history_time.replace(tzinfo=TZ_UTC) new_member = ChatThreadMember( user=self.new_user, display_name='name', share_history_time=share_history_time) members = [new_member] await self.chat_thread_client.add_members(members) # test remove member await self.chat_thread_client.remove_member(self.new_user) if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_send_typing_notification(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: await self.chat_thread_client.send_typing_notification() if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_send_read_receipt(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: await self._send_message() await self.chat_thread_client.send_read_receipt(self.message_id) if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id) @pytest.mark.live_test_only @AsyncCommunicationTestCase.await_prepared_test async def test_list_read_receipts(self): async with self.chat_client: await self._create_thread() async with self.chat_thread_client: await self._send_message() # send read receipts first await self.chat_thread_client.send_read_receipt(self.message_id) if self.is_live: await asyncio.sleep(2) # list read receipts read_receipts = self.chat_thread_client.list_read_receipts() items = [] async for item in read_receipts: items.append(item) assert len(items) > 0 if not self.is_playback(): await self.chat_client.delete_chat_thread(self.thread_id)

[ "[email protected]" ]

[email protected]

07c86867c6a6240b881b7799c91f53d202d3a79c

e5e2b7da41fda915cb849f031a0223e2ac354066

/sdk/python/pulumi_azure_native/media/v20200201preview/_enums.py

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# coding=utf-8 # *** WARNING: this file was generated by the Pulumi SDK Generator. *** # *** Do not edit by hand unless you're certain you know what you are doing! *** from enum import Enum __all__ = [ 'MediaGraphRtspTransport', ] class MediaGraphRtspTransport(str, Enum): """ Underlying RTSP transport. This can be used to enable or disable HTTP tunneling. """ HTTP = "Http" TCP = "Tcp"

[ "[email protected]" ]

[email protected]

872530536f3f6682b50288fc140a34b61bc5ebd4

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#!/usr/bin/python3 # -*- coding: utf-8 -*- import numpy as np import numpy.random as rand def test1(): """ & | 布尔运算 """ arr = np.zeros((16, 16)) + 3 # 从第4行(列)到倒数第4行(列) arr[4:-4, 4:-4] = 6 arr[7:-7, 7:-7] = 9 # print(arr) index1 = arr > 2 index2 = arr < 6 compound_index = index1 & index2 compound_index = (arr > 3) & (arr < 9) arr2 = np.copy(arr, order='K') arr2[compound_index] = 0 print(arr2) compound_index = (arr == 9) | (index1 & index2) arr3 = np.copy(arr) arr3[compound_index] = 0 print(arr3) def test2(): """ 随机处理数据 """ # 返回高斯分布(0, 1)的一个样本 arr = rand.randn(100) print(arr) # 采集数值大于0.2的子集 index = arr > 0.2 res = arr[index] # 子集中的数据平方减2 res = res ** 2 - 2 # 放回去 arr[index] = res print(arr) def main(): test1() test2() if __name__ == "__main__": main()

[ "[email protected]" ]

[email protected]

340d4560fceeb7f8f5ce6df9db6f28fa1f292720

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/PythonCookbookLearning/chapter8/8.7.3.py

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class Base(object): def __init__(self): print('Base.__init__') class A(Base): def __init__(self): super().__init__() print('A.__init__') class B(Base): def __init__(self): super().__init__() print('B.__init__') class C(A, B): def __init__(self): super().__init__() print('C.__init__') if __name__ == '__main__': c = C() print(C.mro()) print(C.__mro__)

[ "[email protected]" ]

[email protected]

98a4f5409336a01c4f7a38567ca2dfcdf5371cbc

c28783b279c89ea98967064304eb3d883940b193

/src/di_replication/repl_read_top_row/repl_read_top_row.py

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import sdi_utils.gensolution as gs import sdi_utils.set_logging as slog import sdi_utils.textfield_parser as tfp import sdi_utils.tprogress as tp import subprocess import logging import os import random from datetime import datetime, timezone import pandas as pd try: api except NameError: class api: queue = list() class Message: def __init__(self, body=None, attributes=""): self.body = body self.attributes = attributes def send(port, msg): if port == outports[1]['name']: api.queue.append(msg) class config: ## Meta data config_params = dict() version = '0.0.1' tags = {'sdi_utils': ''} operator_name = 'repl_read_top_row' operator_description = "Read Top Row" operator_description_long = "Read top row without constraint." add_readme = dict() add_readme["References"] = "" debug_mode = True config_params['debug_mode'] = {'title': 'Debug mode', 'description': 'Sending debug level information to log port', 'type': 'boolean'} def process(msg): att = dict(msg.attributes) att['operator'] = 'repl_read_top_row' logger, log_stream = slog.set_logging(att['operator'], loglevel=api.config.debug_mode) sql = 'SELECT TOP 1 * FROM {table}'.format(table=att['replication_table']) logger.info('SQL statement: {}'.format(sql)) att['sql'] = sql api.send(outports[1]['name'], api.Message(attributes=att,body=sql)) log = log_stream.getvalue() if len(log) > 0 : api.send(outports[0]['name'], log ) inports = [{'name': 'data', 'type': 'message', "description": "Input data"}] outports = [{'name': 'log', 'type': 'string', "description": "Logging data"}, \ {'name': 'msg', 'type': 'message', "description": "msg with sql statement"}] #api.set_port_callback(inports[0]['name'], process) def test_operator(): msg = api.Message(attributes={'packageid':4711,'replication_table':'repl_table','base_table':'repl_table','latency':30,\ 'append_mode' : 'I', 'data_outcome':True},body='') process(msg) for msg in api.queue : print(msg.attributes) print(msg.body) if __name__ == '__main__': test_operator() if True: subprocess.run(["rm", '-r','../../../solution/operators/sdi_replication_' + api.config.version]) gs.gensolution(os.path.realpath(__file__), api.config, inports, outports) solution_name = api.config.operator_name + '_' + api.config.version subprocess.run(["vctl", "solution", "bundle",'../../../solution/operators/sdi_replication_' + api.config.version, \ "-t", solution_name]) subprocess.run(["mv", solution_name + '.zip', '../../../solution/operators'])

[ "[email protected]" ]

[email protected]

e7cb9d3d626b68c0e92c3fbeda2d26d8d2812576

78d35bb7876a3460d4398e1cb3554b06e36c720a

/sdk/recoveryservices/azure-mgmt-recoveryservicesbackup/azure/mgmt/recoveryservicesbackup/operations/_protected_item_operation_results_operations.py

686c9dc622990d21ec56f8dc1e20569d14958b9b

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catchsrinivas/azure-sdk-for-python

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refs/heads/main

2023-08-27T09:08:07.986249

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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 typing import TYPE_CHECKING import warnings from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import HttpRequest, HttpResponse from azure.mgmt.core.exceptions import ARMErrorFormat from .. import models as _models if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from typing import Any, Callable, Dict, Generic, Optional, TypeVar T = TypeVar('T') ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]] class ProtectedItemOperationResultsOperations(object): """ProtectedItemOperationResultsOperations operations. You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute. :ivar models: Alias to model classes used in this operation group. :type models: ~azure.mgmt.recoveryservicesbackup.models :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = _models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config def get( self, vault_name, # type: str resource_group_name, # type: str fabric_name, # type: str container_name, # type: str protected_item_name, # type: str operation_id, # type: str **kwargs # type: Any ): # type: (...) -> Optional["_models.ProtectedItemResource"] """Fetches the result of any operation on the backup item. :param vault_name: The name of the recovery services vault. :type vault_name: str :param resource_group_name: The name of the resource group where the recovery services vault is present. :type resource_group_name: str :param fabric_name: Fabric name associated with the backup item. :type fabric_name: str :param container_name: Container name associated with the backup item. :type container_name: str :param protected_item_name: Backup item name whose details are to be fetched. :type protected_item_name: str :param operation_id: OperationID which represents the operation whose result needs to be fetched. :type operation_id: str :keyword callable cls: A custom type or function that will be passed the direct response :return: ProtectedItemResource, or the result of cls(response) :rtype: ~azure.mgmt.recoveryservicesbackup.models.ProtectedItemResource or None :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType[Optional["_models.ProtectedItemResource"]] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2021-08-01" accept = "application/json" # Construct URL url = self.get.metadata['url'] # type: ignore path_format_arguments = { 'vaultName': self._serialize.url("vault_name", vault_name, 'str'), 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), 'fabricName': self._serialize.url("fabric_name", fabric_name, 'str'), 'containerName': self._serialize.url("container_name", container_name, 'str'), 'protectedItemName': self._serialize.url("protected_item_name", protected_item_name, 'str'), 'operationId': self._serialize.url("operation_id", operation_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200, 202, 204]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = None if response.status_code == 200: deserialized = self._deserialize('ProtectedItemResource', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.RecoveryServices/vaults/{vaultName}/backupFabrics/{fabricName}/protectionContainers/{containerName}/protectedItems/{protectedItemName}/operationResults/{operationId}'} # type: ignore

[ "[email protected]" ]

[email protected]

fccdf002d3624704682080cfcfad0a8da497660d

2be8a9f06d4003d12c0a727fb83d284c31a53050

/HoudiniHotBox17.0/lib/mantrasurface.py

14fd36488357f5ba0316020a601a4c3c65b4e2c7

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no_license

LiuLiangFx/SmileHotBOX

7551d9578b2defe612950cb8e3bffdb85024cede

8bd8eac69b3c2a9824b9aa4488ca77789bea8d85

refs/heads/master

2021-01-01T10:22:26.959731

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2020-02-09T02:47:18

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138

py

import hou class mantrasurface: def run(self): node = hou.node("/shop") node.createNode("mantrasurface")

[ "[email protected]" ]

[email protected]

086a8df0c8339b236cf7ca37ad68644942a570e2

2f98aa7e5bfc2fc5ef25e4d5cfa1d7802e3a7fae

/python/python_2203.py

d82b9273211c6488b6c4ed00ac417bea5f7bc2fb

[]

no_license

AK-1121/code_extraction

cc812b6832b112e3ffcc2bb7eb4237fd85c88c01

5297a4a3aab3bb37efa24a89636935da04a1f8b6

refs/heads/master

2020-05-23T08:04:11.789141

2015-10-22T19:19:40

null

0

null

UTF-8

Python

false

134

py

# I want the actual file name that is returned by a PHP script urllib.urlretrieve(URL, directory + "\\" + filename + "." + extension)

[ "[email protected]" ]

[email protected]

c208e65a004c73d0f48559a896158d1e95398217

f82757475ea13965581c2147ff57123b361c5d62

/gi-stubs/repository/EDataServer/SourceAutocompletePrivate.py

1de46992f4fdcbcee66390bb6885068da4e6eb42

[]

no_license

ttys3/pygobject-stubs

9b15d1b473db06f47e5ffba5ad0a31d6d1becb57

d0e6e93399212aada4386d2ce80344eb9a31db48

refs/heads/master

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2020-06-05T15:57:54

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# encoding: utf-8 # module gi.repository.EDataServer # from /usr/lib64/girepository-1.0/EDataServer-1.2.typelib # by generator 1.147 """ An object which wraps an introspection typelib. This wrapping creates a python module like representation of the typelib using gi repository as a foundation. Accessing attributes of the module will dynamically pull them in and create wrappers for the members. These members are then cached on this introspection module. """ # imports import gi as __gi import gi.overrides.GObject as __gi_overrides_GObject import gi.repository.Gio as __gi_repository_Gio import gi.repository.GObject as __gi_repository_GObject import gi.repository.Soup as __gi_repository_Soup import gobject as __gobject class SourceAutocompletePrivate(__gi.Struct): # no doc def __delattr__(self, *args, **kwargs): # real signature unknown """ Implement delattr(self, name). """ pass def __dir__(self, *args, **kwargs): # real signature unknown """ Default dir() implementation. """ pass def __eq__(self, *args, **kwargs): # real signature unknown """ Return self==value. """ pass def __format__(self, *args, **kwargs): # real signature unknown """ Default object formatter. """ pass def __getattribute__(self, *args, **kwargs): # real signature unknown """ Return getattr(self, name). """ pass def __ge__(self, *args, **kwargs): # real signature unknown """ Return self>=value. """ pass def __gt__(self, *args, **kwargs): # real signature unknown """ Return self>value. """ pass def __hash__(self, *args, **kwargs): # real signature unknown """ Return hash(self). """ pass def __init_subclass__(self, *args, **kwargs): # real signature unknown """ This method is called when a class is subclassed. The default implementation does nothing. It may be overridden to extend subclasses. """ pass def __init__(self, *args, **kwargs): # real signature unknown pass def __le__(self, *args, **kwargs): # real signature unknown """ Return self<=value. """ pass def __lt__(self, *args, **kwargs): # real signature unknown """ Return self<value. """ pass @staticmethod # known case of __new__ def __new__(*args, **kwargs): # real signature unknown """ Create and return a new object. See help(type) for accurate signature. """ pass def __ne__(self, *args, **kwargs): # real signature unknown """ Return self!=value. """ pass def __reduce_ex__(self, *args, **kwargs): # real signature unknown """ Helper for pickle. """ pass def __reduce__(self, *args, **kwargs): # real signature unknown """ Helper for pickle. """ pass def __repr__(self, *args, **kwargs): # real signature unknown """ Return repr(self). """ pass def __setattr__(self, *args, **kwargs): # real signature unknown """ Implement setattr(self, name, value). """ pass def __sizeof__(self, *args, **kwargs): # real signature unknown """ Size of object in memory, in bytes. """ pass def __str__(self, *args, **kwargs): # real signature unknown """ Return str(self). """ pass def __subclasshook__(self, *args, **kwargs): # real signature unknown """ Abstract classes can override this to customize issubclass(). This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached). """ pass def __weakref__(self, *args, **kwargs): # real signature unknown pass __class__ = None # (!) real value is "<class 'gi.types.StructMeta'>" __dict__ = None # (!) real value is "mappingproxy({'__info__': StructInfo(SourceAutocompletePrivate), '__module__': 'gi.repository.EDataServer', '__gtype__': <GType void (4)>, '__dict__': <attribute '__dict__' of 'SourceAutocompletePrivate' objects>, '__weakref__': <attribute '__weakref__' of 'SourceAutocompletePrivate' objects>, '__doc__': None})" __gtype__ = None # (!) real value is '<GType void (4)>' __info__ = StructInfo(SourceAutocompletePrivate)

[ "[email protected]" ]

[email protected]

2a5b864a3ebcf588854fa0df2b2e9e32ddbee910

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/hw/gimbal/firmware/site_scons/site_tools/arm_none_eabi.py

1ed9fbfb9debd2019a680a3816a74982f6a83789

[ "Apache-2.0" ]

permissive

SiChiTong/mjmech

acc5da4ac6edd9f1446cc13e471aedeea3e1c419

a71f35e6ad6bc9c1530a0a33d68c45d073390b79

refs/heads/master

2020-03-20T03:44:13.276650

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# Copyright 2015 Josh Pieper, [email protected]. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. TOOLS = { 'CC' : 'gcc', 'CXX' : 'g++', 'LD' : 'gcc', 'AR' : 'ar', 'AS' : 'gcc', 'OBJCOPY' : 'objcopy', 'OBJDUMP' : 'objdump', } def generate(env, **kwargs): # Let's assume that the host version of the compiler is here and # available. gnu_tools = ['gcc', 'g++', 'gnulink', 'ar', 'gas'] for tool in gnu_tools: env.Tool(tool) for key, value in TOOLS.iteritems(): env[key] = 'arm-none-eabi-' + value env.Append(ASFLAGS=['-c']) env['PROGSUFFIX'] = '.elf' def exists(env): return 1

[ "[email protected]" ]

[email protected]

e62bb40c823f97a4d88b9ee4884e3edb00c40a0d

f4b60f5e49baf60976987946c20a8ebca4880602

/lib64/python2.7/site-packages/acimodel-1.3_2j-py2.7.egg/cobra/modelimpl/dhcp/clientaddr.py

134e0b93623bfb9ff57a9db85dbee07038399b49

[]

no_license

cqbomb/qytang_aci

12e508d54d9f774b537c33563762e694783d6ba8

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refs/heads/master

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# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2016 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.mit.meta import StatsClassMeta from cobra.mit.meta import CounterMeta from cobra.mit.meta import PropMeta from cobra.mit.meta import Category from cobra.mit.meta import SourceRelationMeta from cobra.mit.meta import NamedSourceRelationMeta from cobra.mit.meta import TargetRelationMeta from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory from cobra.model.category import MoCategory, PropCategory, CounterCategory from cobra.mit.mo import Mo # ################################################## class ClientAddr(Mo): """ The DHCP address received for the client. """ meta = ClassMeta("cobra.model.dhcp.ClientAddr") meta.moClassName = "dhcpClientAddr" meta.rnFormat = "addr-[%(address)s]" meta.category = MoCategory.REGULAR meta.label = "Client Address" meta.writeAccessMask = 0x8008020040001 meta.readAccessMask = 0x8008020040001 meta.isDomainable = False meta.isReadOnly = False meta.isConfigurable = True meta.isDeletable = True meta.isContextRoot = False meta.parentClasses.add("cobra.model.dhcp.ClientIf") meta.superClasses.add("cobra.model.dhcp.Addr") meta.rnPrefixes = [ ('addr-', True), ] prop = PropMeta("str", "address", "address", 6133, PropCategory.REGULAR) prop.label = "Address" prop.isConfig = True prop.isAdmin = True prop.isCreateOnly = True prop.isNaming = True meta.props.add("address", prop) prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("deleteAll", "deleteall", 16384) prop._addConstant("deleteNonPresent", "deletenonpresent", 8192) prop._addConstant("ignore", "ignore", 4096) meta.props.add("childAction", prop) prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN) prop.label = "None" prop.isDn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("dn", prop) prop = PropMeta("str", "modTs", "modTs", 7, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "never" prop._addConstant("never", "never", 0) meta.props.add("modTs", prop) prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN) prop.label = "None" prop.isRn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("rn", prop) prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("created", "created", 2) prop._addConstant("deleted", "deleted", 8) prop._addConstant("modified", "modified", 4) meta.props.add("status", prop) meta.namingProps.append(getattr(meta.props, "address")) getattr(meta.props, "address").needDelimiter = True def __init__(self, parentMoOrDn, address, markDirty=True, **creationProps): namingVals = [address] Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps) # End of package file # ##################################################

[ "[email protected]" ]

[email protected]

b8d9f5ee64570bdf0c15ab55e124cd7e677cb144

be429a1e5e4903616a4532c1bf238df20fea75c0

/6.14/127.单词接龙.py

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[]

no_license

pythonnewbird/LeetCodeSolution

ccc8cc17df4cea3109d84b0c347ae91c1bc33a28

2447f760f08fb3879c5f03d8650e30ff74115d3d

refs/heads/master

2020-03-19T05:06:06.681429

2018-07-01T12:39:09

135,899,944

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class Solution(object): def ladderLength(self, beginWord, endWord, wordList): """ :type beginWord: str :type endWord: str :type wordList: List[str] :rtype: int """ wdset=set(wordList) if endWord not in wdset: return 0 lts="abcdefghijklmnopqrstuvwxyz" dist=float("inf") q=[beginWord] seen={beginWord:0} graph={beginWord:set()} while q: cur=q.pop(0) d=seen[cur] if d>=dist: break for i in range(len(cur)): for lt in lts: if lt!=cur[i]: new=cur[:i]+lt+cur[i+1:] if new in wdset and (new not in seen or d+1==seen[new]): if cur in graph: graph[cur].add(new) else: graph[cur]=set([new]) if new==endWord: dist=d+1 if new not in seen: seen[new]=d+1 q.append(new) if dist!=float('inf') : return dist+1 else: return 0

[ "[email protected]" ]

[email protected]

512a43263d45f6d4fbf19a27ad961a1de09eba30

fa5cb3cb27132a330673650afa1d68dd35f15251

/newrelic/core/thread_utilization.py

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jbeveland27/newrelic-python-agent

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2023-07-12T06:40:58.741312

2021-08-19T23:37:14

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Apache-2.0

2021-08-20T01:38:35

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# Copyright 2010 New Relic, Inc. # # 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. import time from newrelic.samplers.decorators import data_source_factory try: from newrelic.core._thread_utilization import ThreadUtilization except ImportError: ThreadUtilization = None _utilization_trackers = {} def utilization_tracker(application): return _utilization_trackers.get(application) class ThreadUtilizationDataSource(object): def __init__(self, application): self._consumer_name = application self._utilization_tracker = None self._last_timestamp = None self._utilization = None def start(self): if ThreadUtilization: utilization_tracker = ThreadUtilization() _utilization_trackers[self._consumer_name] = utilization_tracker self._utilization_tracker = utilization_tracker self._last_timestamp = time.time() self._utilization = self._utilization_tracker.utilization_count() def stop(self): try: self._utilization_tracker = None self._last_timestamp = None self._utilization = None del _utilization_trackers[self.source_name] except Exception: pass def __call__(self): if self._utilization_tracker is None: return now = time.time() # TODO This needs to be pushed down into _thread_utilization.c. # In doing that, need to fix up UtilizationClass count so the # reset is optional because in this case a read only variant is # needed for getting a per request custom metric of the # utilization during period of the request. # # TODO This currently doesn't take into consideration coroutines # and instance bust percentage is percentage of a single thread # and not of total available coroutines. Not sure whether can # generate something meaningful for coroutines. Also doesn't # work for asynchronous systems such as Twisted. new_utilization = self._utilization_tracker.utilization_count() elapsed_time = now - self._last_timestamp utilization = new_utilization - self._utilization utilization = utilization / elapsed_time self._last_timestamp = now self._utilization = new_utilization total_threads = None try: # Recent mod_wsgi versions publish the number of actual # threads so we can use this real value instead of the # calculated value. This is important in order to get the # correct utilization value for mod_wsgi daemon mode as the # way it manages the thread pool it may not actually # activate all available threads if the requirement isn't # there for them. Thus the utilization figure will be too # high as would only be calculated relative to the activated # threads and not the total of what is actually available. import mod_wsgi total_threads = mod_wsgi.threads_per_process except Exception: pass if total_threads is None: total_threads = self._utilization_tracker.total_threads() if total_threads: # Don't report any metrics if don't detect any threads # available and in use for handling web transactions, # otherwise we end up report zero metrics for task systems # such as Celery which skews the results wrongly. yield ('Instance/Available', total_threads) yield ('Instance/Used', utilization) busy = total_threads and utilization/total_threads or 0.0 yield ('Instance/Busy', busy) @data_source_factory(name='Thread Utilization') def thread_utilization_data_source(settings, environ): return ThreadUtilizationDataSource(environ['consumer.name'])

[ "[email protected]" ]

[email protected]

badc3f499d4497e8cb855a63837126b58ed27f20

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svn2github/calendarserver-raw

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2015-01-07T00:07:46

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null

2022-12-21T13:08:16

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py

## # Copyright (c) 2007-2011 Cyrus Daboo. All rights reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. ## from pycalendar import definitions from pycalendar import itipdefinitions from pycalendar.componentrecur import PyCalendarComponentRecur from pycalendar.datetime import PyCalendarDateTime from pycalendar.property import PyCalendarProperty import cStringIO as StringIO class PyCalendarVToDo(PyCalendarComponentRecur): OVERDUE = 0 DUE_NOW= 1 DUE_LATER = 2 DONE = 3 CANCELLED= 4 @staticmethod def sort_for_display(e1, e2): s1 = e1.getMaster() s2 = e2.getMaster() # Check status first (convert None -> Needs action for tests) status1 = s1.self.mStatus status2 = s2.self.mStatus if status1 == definitions.eStatus_VToDo_None: status1 = definitions.eStatus_VToDo_NeedsAction if status2 == definitions.eStatus_VToDo_None: status2 = definitions.eStatus_VToDo_NeedsAction if status1 != status2: # More important ones at the top return status1 < status2 # At this point the status of each is the same # If status is cancelled sort by start time if s1.self.mStatus == definitions.eStatus_VToDo_Cancelled: # Older ones at the bottom return s1.mStart > s2.mStart # If status is completed sort by completion time if s1.self.mStatus == definitions.eStatus_VToDo_Completed: # Older ones at the bottom return s1.self.mCompleted > s2.self.mCompleted # Check due date exists if s1.mHasEnd != s2.mHasEnd: now = PyCalendarDateTime() now.setToday() # Ones with due dates after today below ones without due dates if s1.hasEnd(): return s1.mEnd <= now elif s2.hasEnd(): return now < s2.mEnd # Check due dates if present if s1.mHasEnd: if s1.mEnd != s2.mEnd: # Soonest dues dates above later ones return s1.mEnd < s2.mEnd # Check priority next if s1.self.mPriority != s2.self.mPriority: # Higher priority above lower ones return s1.self.mPriority < s2.self.mPriority # Just use start time - older ones at the top return s1.mStart < s2.mStart def __init__(self, parent=None): super(PyCalendarVToDo, self).__init__(parent=parent) self.mPriority = 0 self.mStatus = definitions.eStatus_VToDo_None self.mPercentComplete = 0 self.mCompleted = PyCalendarDateTime() self.mHasCompleted = False def duplicate(self, parent=None): other = super(PyCalendarVToDo, self).duplicate(parent=parent) other.mPriority = self.mPriority other.mStatus = self.mStatus other.mPercentComplete = self.mPercentComplete other.mCompleted = self.mCompleted.duplicate() other.mHasCompleted = self.mHasCompleted return other def getType(self): return definitions.cICalComponent_VTODO def getMimeComponentName(self): return itipdefinitions.cICalMIMEComponent_VTODO def addComponent(self, comp): # We can embed the alarm components only if comp.getType() == definitions.cICalComponent_VALARM: super(PyCalendarVToDo, self).addComponent(comp) else: raise ValueError def getStatus(self): return self.mStatus def setStatus(self, status): self.mStatus = status def getStatusText(self): sout = StringIO() if self.mStatus in (definitions.eStatus_VToDo_NeedsAction, definitions.eStatus_VToDo_InProcess): if self.hasEnd(): # Check due date today = PyCalendarDateTime() today.setToday() if self.getEnd() > today: sout.append("Due: ") whendue = self.getEnd() - today if (whendue.getDays() > 0) and (whendue.getDays() <= 7): sout.write(whendue.getDays()) sout.write(" days") else: sout.write(self.getEnd().getLocaleDate(PyCalendarDateTime.NUMERICDATE)) elif self.getEnd() == today: sout.write("Due today") else: sout.write("Overdue: ") overdue = today - self.getEnd() if overdue.getWeeks() != 0: sout.write(overdue.getWeeks()) sout.write(" weeks") else: sout.write(overdue.getDays() + 1) sout.write(" days") else: sout.write("Not Completed") elif self.mStatus == definitions.eStatus_VToDo_Completed: if self.hasCompleted(): sout.write("Completed: ") sout.write(self.getCompleted().getLocaleDate(PyCalendarDateTime.NUMERICDATE)) else: sout.write("Completed") elif definitions.eStatus_VToDo_Cancelled: sout.write("Cancelled") return sout.toString() def getCompletionState(self): if self.mStatus in (definitions.eStatus_VToDo_NeedsAction, definitions.eStatus_VToDo_InProcess): if self.hasEnd(): # Check due date today = PyCalendarDateTime() today.setToday() if self.getEnd() > today: return PyCalendarVToDo.DUE_LATER elif self.getEnd() == today: return PyCalendarVToDo.DUE_NOW else: return PyCalendarVToDo.OVERDUE else: return PyCalendarVToDo.DUE_NOW elif self.mStatus == definitions.eStatus_VToDo_Completed: return PyCalendarVToDo.DONE elif self.mStatus == definitions.eStatus_VToDo_Cancelled: return PyCalendarVToDo.CANCELLED def getPriority(self): return self.mPriority def setPriority(self, priority): self.mPriority = priority def getCompleted(self): return self.mCompleted def hasCompleted(self): return self.mHasCompleted def finalise(self): # Do inherited super(PyCalendarVToDo, self).finalise() # Get DUE temp = self.loadValueDateTime(definitions.cICalProperty_DUE) if temp is None: # Try DURATION instead temp = self.loadValueDuration(definitions.cICalProperty_DURATION) if temp is not None: self.mEnd = self.mStart + temp self.mHasEnd = True else: self.mHasEnd = False else: self.mHasEnd = True self.mEnd = temp # Get PRIORITY self.mPriority = self.loadValueInteger(definitions.cICalProperty_PRIORITY) # Get STATUS temp = self.loadValueString(definitions.cICalProperty_STATUS) if temp is not None: if temp == definitions.cICalProperty_STATUS_NEEDS_ACTION: self.mStatus = definitions.eStatus_VToDo_NeedsAction elif temp == definitions.cICalProperty_STATUS_COMPLETED: self.mStatus = definitions.eStatus_VToDo_Completed elif temp == definitions.cICalProperty_STATUS_IN_PROCESS: self.mStatus = definitions.eStatus_VToDo_InProcess elif temp == definitions.cICalProperty_STATUS_CANCELLED: self.mStatus = definitions.eStatus_VToDo_Cancelled # Get PERCENT-COMPLETE self.mPercentComplete = self.loadValueInteger(definitions.cICalProperty_PERCENT_COMPLETE) # Get COMPLETED temp = self.loadValueDateTime(definitions.cICalProperty_COMPLETED) self.mHasCompleted = temp is not None if self.mHasCompleted: self.mCompleted = temp # Editing def editStatus(self, status): # Only if it is different if self.mStatus != status: # Updated cached values self.mStatus = status # Remove existing STATUS & COMPLETED items self.removeProperties(definitions.cICalProperty_STATUS) self.removeProperties(definitions.cICalProperty_COMPLETED) self.mHasCompleted = False # Now create properties value = None if status == definitions.eStatus_VToDo_NeedsAction: value = definitions.cICalProperty_STATUS_NEEDS_ACTION if status == definitions.eStatus_VToDo_Completed: value = definitions.cICalProperty_STATUS_COMPLETED # Add the completed item self.mCompleted.setNowUTC() self.mHasCompleted = True prop = PyCalendarProperty(definitions.cICalProperty_STATUS_COMPLETED, self.mCompleted) self.addProperty(prop) elif status == definitions.eStatus_VToDo_InProcess: value = definitions.cICalProperty_STATUS_IN_PROCESS elif status == definitions.eStatus_VToDo_Cancelled: value = definitions.cICalProperty_STATUS_CANCELLED prop = PyCalendarProperty(definitions.cICalProperty_STATUS, value) self.addProperty(prop) def editCompleted(self, completed): # Remove existing COMPLETED item self.removeProperties(definitions.cICalProperty_COMPLETED) self.mHasCompleted = False # Always UTC self.mCompleted = completed.duplicate() self.mCompleted.adjustToUTC() self.mHasCompleted = True prop = PyCalendarProperty(definitions.cICalProperty_STATUS_COMPLETED, self.mCompleted) self.addProperty(prop) def sortedPropertyKeyOrder(self): return ( definitions.cICalProperty_UID, definitions.cICalProperty_RECURRENCE_ID, definitions.cICalProperty_DTSTART, definitions.cICalProperty_DURATION, definitions.cICalProperty_DUE, definitions.cICalProperty_COMPLETED, )

[ "cyrusdaboo@e27351fd-9f3e-4f54-a53b-843176b1656c" ]

cyrusdaboo@e27351fd-9f3e-4f54-a53b-843176b1656c

bf84a23ac25841aaf18ddc5f2a8785a878f6e123

3313419e883041b04bd09f7e905dc9fb24cd8ec8

/multi_kmeans_group_line_chart.py

7559a28604b94a194b5308ec440890374719a7d0

[]

no_license

xiaosean/preprocess_py

d6d46a91be0d31c3ac082c4dc21587b27b34bf11

fa480a0f8401c4ccff61ea8215bcf40802b2ba36

refs/heads/master

2023-06-23T17:30:19.296637

2017-11-06T23:12:02

2017-11-06T23:12:04

90,627,403

1

0

null

UTF-8

Python

false

5,789

py

import numpy as np import pandas as pd from time import time from sklearn.cluster import KMeans from pandas.computation import expressions as expr from bokeh.charts import Line, show, output_file, save import pprint as pp import sys from bokeh.palettes import Spectral11, Category10 # set configure # path = "./CDR_NORMALIZE_CONCAT/" path = "./CDR_FINAL/" filename = "0703normalize_65_cols.csv" # path = "./CDR_ANALYZE/" # path = "./CDR_CONCAT/" # filename = sys.argv[1] # filename = "CDR_CONCAT_TABLE_4_max_min.csv" # filename = "CDR_CONCAT_TABLE_4.csv" relative_filename = path + filename #+ ".csv" # out_filename = "mds_mly_minus20160901" # after the numeric_st_idx's number will be tranform to int64 # numeric_st_idx = 1 # K = 8 label_path = "./kmean_label/" output_path = "./CDR_CONCAT_ANALYZE_GRAPH/" # output_path = "./CDR_CONCAT_ANALYZE_GRAPH_MINI/" # read revise csv file and print cost time # just load 5 data t0 = time() df_src = pd.read_csv(relative_filename, error_bad_lines=False) print("time for read csv: %.2f" % (time()-t0)) # ------------------------- for c in df_src.columns[1:]: if not "CNT" in c: df_src = df_src.drop(c, 1) # ---------------------------- # df = df.drop('MINING_DW_SUBSCR_NO', 1) df_group = pd.read_csv('DNA_KMEANS_RESULT_ID_NEW.csv', error_bad_lines = False) groups_name = ['1', '2', '3', '4', '5', '6', '7', '8', 'seldom', 'None'] # groups_name = ['1', '2', '3', '4', '5', '6', '7', '8'] # Ks = [8, 7, 6, 7, 5, 6, 6, 8, 7, 7] Ks = [6, 4, 6, 7, 7, 6, 8, 7, 7, 7] evening = "Evening user" moring = "Morning user" midnight = "Midnight user" lunch = "Lunch time user" All = "All day user" dinner = "Dinner time user" afternoon = "Afternoon user" cluster_name = [ {107141:moring, 121153:midnight, 17176:lunch, 59992:afternoon, 32089:evening, 70046:dinner}, {25449:evening, 30950:dinner, 5441:lunch, 59944:midnight, 62860:All}, {20553:afternoon, 20809:dinner, 26798:moring, 32848:midnight, 4801:lunch}, {17959:evening, 24518:dinner, 33790:moring, 35510:midnight, 5181:lunch}, {17238:evening, 25183:dinner, 32834:moring, 31327:midnight, 3892:lunch}, {14298:midnight, 21404:"Late midnight user", 35439:moring, 35802:dinner, 39104:"Office time user"}, {19744:evening, 24966:afternoon, 33129:"Night user", 41770:moring, 44540:midnight}, {106596:dinner, 124046:moring, 146613:midnight, 21343:lunch, 91568:afternoon} ] norm = "0704" df_src['Groups'] = df_group['Groups'] for j in range(8): K = Ks[j] group = groups_name[j] df = df_src[df_src['Groups'] == group] label_path = "./kmean_label/" # label_name = "label_K" + str(K) + "_de_with_kid_" + group + "_" + norm + ".npy" label_name = "label_K" + str(K) + "__" + group + "_" + norm + ".npy" labels_ = np.load(label_path + label_name) # df.loc['label',list(map(str, df.index))] = labels_ df['label'] = labels_ grouped = df.groupby('label') print(group) df['label'] = labels_ grouped = df.drop(['MINING_DW_SUBSCR_NO', 'Groups'], 1).groupby('label') # grouped = df.groupby('label') # get count group_count = grouped[df.columns[1]].count().values # df = df.drop('MINING_DW_SUBSCR_NO', 1) # get mean group_mean = grouped.mean() # cluster_name = {1012:'每通通話量長', 1470990:'幾乎不用', 23626:'高度使用', 283083:'有在使用', 48456:'夜貓族', 3601:'超高度使用', 68665:'中度使用', 697364:'稍微使用'} # aggregate display data data = {} for i in range(K): # data[str(i)] = grouped.mean().values[i] # if "HOUR" in filename: # # data[cluster_name[cluster_result[i]] + "(" + str(cluster_result[i]) + ")"] = list(map(lambda x: x/30,grouped.mean().values[i])) # # data["(" + str(group_count[i]) + ")"] = list(map(lambda x: x/30, group_mean.values[i][1:])) # else: # # data[cluster_name[cluster_result[i]] + "(" + str(cluster_result[i]) + ")"] = list(map(lambda x: x/4,grouped.mean().values[i])) # data["(" + str(group_count[i]) + ")"] = list(map(lambda x: x/4, group_mean.values[i][1:])) # data[cluster_name[j][group_count[i]] + "(" + str(group_count[i]) + ")"] = group_mean.values[i] data["(" + str(group_count[i]) + ")"] = group_mean.values[i] # data[str(cluster_name[i])] = grouped.mean().values[i] pp.pprint(df.columns[1:-2]) # select label # xl = str(df.columns) # xl = "MO_0_24 MT_0_24 MO_SUN_SAT_w_h MT_SUN_SAT_w_h" xl = "hour" # if filename.find("WORK") != -1: # xl = str(df.columns[1:]) # elif filename.find("hours") == -1: # xl = "SUN ~ SAT" # yl = "time" # if filename.find("TIME") == -1: # yl = "count" yl = "percentage" # draw # # set line colors # mycolors = [] # # if K > 5: # # mycolors = Spectral11[0:5] + Spectral11[6:K + 1] # # else: # # mycolors = Spectral11[0:K] # for i in range(K): # mycolors.append(Spectral11[i * 2]) title = "Group " + group line = Line(data, ylabel = yl, xlabel = xl, color = Category10[10], title = title, legend = "top_center") # line = Line(data, ylabel = 'mean ' + sys.argv[2], xlabel = xl) # line.legend.orientation = 'horizontal' legend = line.legend legend.plot = None legend.location = (0 , 300) line.add_layout(legend[0], "right") line.xaxis.axis_label_text_font_size = '20px' line.yaxis.axis_label_text_font_size = '20px' line.title.text_font_size = '30px' # save file # output_file("test_K" + str(i + 1) + ".html") output_filename = ("%s_K%d_G%s_%s_line.html" % (filename[:-4], K, group, norm)) output_file(output_path + output_filename) # output_file(output_path + filename[:-4] + "_K" + str(K) + "_NAME_distribution.html") save(line) # show(line) # # save file # # output_file("test_K" + str(i + 1) + ".html") # line.title.text = title + " DETAIL" # output_file(output_path + filename[:-4] + "_K" + str(K) + "_NAME_LARGE_distribution.html") # save(line) # # show(line)

[ "[email protected]" ]

[email protected]

9ee8c45a0a1b6322c5d70c2a111aabf4840f4924

40a8d8c2c2bb98b6a27dd62825a601597e2970c5

/home/management/commands/load_initial_data.py

7fac54795d1eb102cf1db3da1f3040d1d30edc49

[]

no_license

crowdbotics-users/elmedina3crowdboticsc-643

24dba124e00a7bef109cadebd9b5f07c4545c886

59274ebe30f52bab5455b4d853b4a75d6bd97c66

refs/heads/master

2020-04-16T04:51:54.804699

2019-01-11T17:36:08

165,283,758

0

null

UTF-8

Python

false

723

py

from django.core.management import BaseCommand from home.models import CustomText, HomePage def load_initial_data(): homepage_body = """ <h1 class="display-4 text-center">dj-app-160</h1> <p class="lead"> This is the sample application created and deployed from the crowdbotics slack app. You can view list of packages selected for this application below </p>""" customtext_title = 'dj-app-160' CustomText.objects.create(title=customtext_title) HomePage.objects.create(body=homepage_body) class Command(BaseCommand): can_import_settings = True help = 'Load initial data to db' def handle(self, *args, **options): load_initial_data()

[ "[email protected]" ]

[email protected]

a47d8415c94513aab2c7019425699a484a4715b5

9b64f0f04707a3a18968fd8f8a3ace718cd597bc

/huaweicloud-sdk-projectman/huaweicloudsdkprojectman/v4/model/list_child_issues_v4_response.py

3c616232bd4fb42bfe7dfe5c4fc8ea0de1d33c81

[ "Apache-2.0" ]

permissive

jaminGH/huaweicloud-sdk-python-v3

eeecb3fb0f3396a475995df36d17095038615fba

83ee0e4543c6b74eb0898079c3d8dd1c52c3e16b

refs/heads/master

2023-06-18T11:49:13.958677

2021-07-16T07:57:47

null

0

null

UTF-8

Python

false

3,537

py

# coding: utf-8 import re import six from huaweicloudsdkcore.sdk_response import SdkResponse class ListChildIssuesV4Response(SdkResponse): """ 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 = { 'issues': 'list[IssueResponseV4]', 'total': 'int' } attribute_map = { 'issues': 'issues', 'total': 'total' } def __init__(self, issues=None, total=None): """ListChildIssuesV4Response - a model defined in huaweicloud sdk""" super(ListChildIssuesV4Response, self).__init__() self._issues = None self._total = None self.discriminator = None if issues is not None: self.issues = issues if total is not None: self.total = total @property def issues(self): """Gets the issues of this ListChildIssuesV4Response. 工作项列表 :return: The issues of this ListChildIssuesV4Response. :rtype: list[IssueResponseV4] """ return self._issues @issues.setter def issues(self, issues): """Sets the issues of this ListChildIssuesV4Response. 工作项列表 :param issues: The issues of this ListChildIssuesV4Response. :type: list[IssueResponseV4] """ self._issues = issues @property def total(self): """Gets the total of this ListChildIssuesV4Response. 总数 :return: The total of this ListChildIssuesV4Response. :rtype: int """ return self._total @total.setter def total(self, total): """Sets the total of this ListChildIssuesV4Response. 总数 :param total: The total of this ListChildIssuesV4Response. :type: int """ self._total = total 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): import simplejson as json return json.dumps(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, ListChildIssuesV4Response): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "[email protected]" ]

[email protected]

7b25d3a0b38ecf71f28ab8ade8d455c4f755784e

32eeb97dff5b1bf18cf5be2926b70bb322e5c1bd

/benchmark/redreader/testcase/firstcases/testcase8_000.py

487ccbe5525b05345cc0e3f99e97b78ace629218

[]

no_license

Prefest2018/Prefest

c374d0441d714fb90fca40226fe2875b41cf37fc

ac236987512889e822ea6686c5d2e5b66b295648

refs/heads/master

2021-12-09T19:36:24.554864

2021-12-06T12:46:14

173,225,161

5

0

null

UTF-8

Python

false

3,361

py

#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' : 'org.quantumbadger.redreader', 'appActivity' : 'org.quantumbadger.redreader.activities.MainActivity', 'resetKeyboard' : True, 'androidCoverage' : 'org.quantumbadger.redreader/org.quantumbadger.redreader.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 # testcase000 try : starttime = time.time() driver = webdriver.Remote('http://localhost:4723/wd/hub', desired_caps) element = getElememtBack(driver, "new UiSelector().text(\"All Subreddits\")", "new UiSelector().className(\"android.widget.TextView\").instance(3)") TouchAction(driver).tap(element).perform() element = getElememt(driver, "new UiSelector().className(\"android.widget.TextView\").description(\"Sort Posts\")") TouchAction(driver).long_press(element).release().perform() driver.press_keycode(4) element = getElememt(driver, "new UiSelector().className(\"android.widget.TextView\").description(\"Sort Posts\")") TouchAction(driver).long_press(element).release().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 \"8_000\"") jacocotime = time.time() print 'jacoco time:', str(jacocotime - endtime), 's' driver.quit() if (cpackage != 'org.quantumbadger.redreader'): cpackage = "adb shell am force-stop " + cpackage os.popen(cpackage)

[ "[email protected]" ]

[email protected]

c74462826047dc31ce78bc75478dd40b6448f120

ef9cb55b02ababca58ce6880b575120c4f28fdb9

/blog/models.py

acf0d8f124a21c803016a1554c92811cf188da95

[]

no_license

mikohan/portfolio

dc6226f3aee73b5af181a0ecc9a13668dde2fe4e

51fda71a4fecec77ff207eb94e514f6924eaf44e

refs/heads/master

2020-05-30T09:11:51.866902

2019-06-04T05:29:27

189,637,532

0

null

UTF-8

Python

false

463

py

from django.db import models class Blog(models.Model): title = models.CharField(max_length=255) pub_date = models.DateTimeField() body = models.TextField() image = models.ImageField(upload_to='images/') def __str__(self): return self.title def cut(self): split = self.body.split() desc = ' '.join(split[:40]) return desc def pub_date_pretty(self): return self.pub_date.strftime('%b %e %Y')

[ "[email protected]" ]

[email protected]

6a6cb216fa9aee4db2182b77261d6d65dfd2fed7

d7d524d1c0ba1cf62cdbc2f9bf5b9c66fa56726b

/armstrong interval.py

626c90c1598da113f54258b1c5f678f4dccdac20

[]

no_license

ramyasutraye/pythonproject

d997ca5ada024e211b6bf087d0d56684daf9df8b

38975a99eb3ee1ad9e79a9efd538cc992d249fc3

refs/heads/master

2020-04-23T19:30:10.128774

2018-05-25T06:18:53

null

0

null

UTF-8

Python

false

268

py

a = int(input("Enter lower range: ")) b = int(input("Enter upper range: ")) for num in range(a, b + 1): order = len(str(num)) sum = 0 temp = num while temp > 0: digit = temp % 10 sum += digit ** order temp //= 10 if num == sum: print(num)

[ "[email protected]" ]

[email protected]

6b5991808844bf4bf53bb9ef1f2ba289ed0cbe2d

6846a0469efc79b89edc8f856944d5a8005d7244

/id_0123.py

8f711263e8087edcc8d3178a22f25e1d21fd0249

[]

no_license

CGenie/project_euler

42cb966e13645339490046eb44a729660ae0c092

cc90edd061b0f4d9e076d5a684b842c202a6812a

refs/heads/master

2020-06-05T00:41:49.266961

2014-01-13T19:11:31

null

0

null

UTF-8

Python

false

992

py

#!/usr/bin/python # ##################################################################### # id_0123.py # # Przemyslaw Kaminski <[email protected]> # Time-stamp: <> ###################################################################### from helper_py3 import memoize def gen_primes(): lst_primes = [2] yield 2 p = 3 while True: prime = True for x in lst_primes: if p % x == 0: prime = False break if prime: lst_primes.append(p) yield p p += 2 if __name__ == '__main__': gp = gen_primes() M = 10**10 n = 0 while True: pn = next(gp) n += 1 if pn**2 >= M: ret = ((-1)**n + 1 + ((-1)**(n - 1) + 1)*n*pn) % pn**2 if (n + 1) % 100 == 0: print("pn = " + str(pn) + ", n = " + str(n) + ", ret = " + str(ret)) if ret > M: print("sol = " + str(n)) break

[ "[email protected]" ]

[email protected]

6a22e8f4dffd272e12fba138916e4c7de47b0cfc

80d50ea48e10674b1b7d3f583a1c4b7d0b01200f

/src/datadog_api_client/v1/model/geomap_widget_definition.py

a47dba11739a217d6ebe6cc92133fe5fc63bbc9e

[ "Apache-2.0", "BSD-3-Clause", "MIT", "MPL-2.0" ]

permissive

DataDog/datadog-api-client-python

3e01fa630278ad0b5c7005f08b7f61d07aa87345

392de360e7de659ee25e4a6753706820ca7c6a92

refs/heads/master

2023-09-01T20:32:37.718187

2023-09-01T14:42:04

193,793,657

82

36

Apache-2.0

2023-09-14T18:22:39

2019-06-25T22:52:04

Python

UTF-8

Python

false

5,014

py

# Unless explicitly stated otherwise all files in this repository are licensed under the Apache-2.0 License. # This product includes software developed at Datadog (https://www.datadoghq.com/). # Copyright 2019-Present Datadog, Inc. from __future__ import annotations from typing import List, Union, TYPE_CHECKING from datadog_api_client.model_utils import ( ModelNormal, cached_property, unset, UnsetType, ) if TYPE_CHECKING: from datadog_api_client.v1.model.widget_custom_link import WidgetCustomLink from datadog_api_client.v1.model.geomap_widget_request import GeomapWidgetRequest from datadog_api_client.v1.model.geomap_widget_definition_style import GeomapWidgetDefinitionStyle from datadog_api_client.v1.model.widget_time import WidgetTime from datadog_api_client.v1.model.widget_text_align import WidgetTextAlign from datadog_api_client.v1.model.geomap_widget_definition_type import GeomapWidgetDefinitionType from datadog_api_client.v1.model.geomap_widget_definition_view import GeomapWidgetDefinitionView class GeomapWidgetDefinition(ModelNormal): validations = { "requests": { "max_items": 1, "min_items": 1, }, } @cached_property def openapi_types(_): from datadog_api_client.v1.model.widget_custom_link import WidgetCustomLink from datadog_api_client.v1.model.geomap_widget_request import GeomapWidgetRequest from datadog_api_client.v1.model.geomap_widget_definition_style import GeomapWidgetDefinitionStyle from datadog_api_client.v1.model.widget_time import WidgetTime from datadog_api_client.v1.model.widget_text_align import WidgetTextAlign from datadog_api_client.v1.model.geomap_widget_definition_type import GeomapWidgetDefinitionType from datadog_api_client.v1.model.geomap_widget_definition_view import GeomapWidgetDefinitionView return { "custom_links": ([WidgetCustomLink],), "requests": ([GeomapWidgetRequest],), "style": (GeomapWidgetDefinitionStyle,), "time": (WidgetTime,), "title": (str,), "title_align": (WidgetTextAlign,), "title_size": (str,), "type": (GeomapWidgetDefinitionType,), "view": (GeomapWidgetDefinitionView,), } attribute_map = { "custom_links": "custom_links", "requests": "requests", "style": "style", "time": "time", "title": "title", "title_align": "title_align", "title_size": "title_size", "type": "type", "view": "view", } def __init__( self_, requests: List[GeomapWidgetRequest], style: GeomapWidgetDefinitionStyle, type: GeomapWidgetDefinitionType, view: GeomapWidgetDefinitionView, custom_links: Union[List[WidgetCustomLink], UnsetType] = unset, time: Union[WidgetTime, UnsetType] = unset, title: Union[str, UnsetType] = unset, title_align: Union[WidgetTextAlign, UnsetType] = unset, title_size: Union[str, UnsetType] = unset, **kwargs, ): """ This visualization displays a series of values by country on a world map. :param custom_links: A list of custom links. :type custom_links: [WidgetCustomLink], optional :param requests: Array of one request object to display in the widget. The request must contain a ``group-by`` tag whose value is a country ISO code. See the `Request JSON schema documentation <https://docs.datadoghq.com/dashboards/graphing_json/request_json>`_ for information about building the ``REQUEST_SCHEMA``. :type requests: [GeomapWidgetRequest] :param style: The style to apply to the widget. :type style: GeomapWidgetDefinitionStyle :param time: Time setting for the widget. :type time: WidgetTime, optional :param title: The title of your widget. :type title: str, optional :param title_align: How to align the text on the widget. :type title_align: WidgetTextAlign, optional :param title_size: The size of the title. :type title_size: str, optional :param type: Type of the geomap widget. :type type: GeomapWidgetDefinitionType :param view: The view of the world that the map should render. :type view: GeomapWidgetDefinitionView """ if custom_links is not unset: kwargs["custom_links"] = custom_links if time is not unset: kwargs["time"] = time if title is not unset: kwargs["title"] = title if title_align is not unset: kwargs["title_align"] = title_align if title_size is not unset: kwargs["title_size"] = title_size super().__init__(kwargs) self_.requests = requests self_.style = style self_.type = type self_.view = view

[ "[email protected]" ]

[email protected]

09b0bfd7ba89b753adde15365a1674b25fb38d71

1488955228c48cbaff586e2a8d86249a47645d0d

/app/main/views.py

ec63c98a0f7b5aab3d87e02ab569d663a4452b22

[]

no_license

vincentouma/watchlist

a286c9d09bb06b18edfa4bc8883e9ec7f302bd01

329f90c23e373e14a29f1764cb8958adbbb02279

refs/heads/master

2020-06-28T11:00:17.353435

2019-08-02T10:19:16

198,234,792

0

null

UTF-8

Python

false

3,956

py

from flask import render_template,request,redirect,url_for,abort from . import main from ..requests import get_movies,get_movie,search_movie from ..models import Review, User from .forms import ReviewForm,UpdateProfile from flask_login import login_required,current_user from .. import db,photos import markdown2 #views @main.route('/') def index(): ''' View root page function that returns the index page and its data ''' #getting popular movies popular_movies = get_movies('popular') upcoming_movie = get_movies('upcoming') now_showing_movie = get_movies('now_playing') title = 'Home - Welcome to The Best best Movie Review Website Online' # message = 'Hello World' search_movie = request.args.get('movie_query') if search_movie: return redirect(url_for('.search',movie_name = search_movie)) else: return render_template('index.html',title = title, popular = popular_movies,upcoming = upcoming_movie, now_playing = now_showing_movie) @main.route('/movie/<int:id>') def movie(id): ''' View root page function theat returns the index pages and its data ''' movie = get_movie(id) title = f'{movie.title}' reviews = Review.get_reviews(movie.id) return render_template('movie.html', title = title, movie = movie, reviews = reviews) @main.route('/search/<movie_name>') def search(movie_name): ''' view function to display search results ''' movie_name_list = movie_name.split(" ") movie_name_format = "+".join(movie_name_list) searched_movies = search_movie(movie_name_format) title = f'search resultd for {movie_name}' return render_template('search.html', title = title, movies = searched_movies) @main.route('/movie/review/new/<int:id>', methods = ['GET','POST']) @login_required def new_review(id): form = ReviewForm() movie = get_movie(id) if form.validate_on_submit(): title = form.title.data review = form.review.data # Updated review instance new_review = Review(movie_id=movie.id,movie_title=title,image_path=movie.poster,movie_review=review,user=current_user) # save review method new_review.save_review() return redirect(url_for('.movie',id = movie.id )) title = f'{movie.title} review' return render_template('new_review.html',title = title, review_form=form, movie=movie) @main.route('/user/<uname>') def profile(uname): user = User.query.filter_by(username = uname).first() if user is None: abort(404) return render_template("profile/profile.html", user = user) @main.route('/user/<uname>/update',methods = ['GET','POST']) @login_required def update_profile(uname): user = User.query.filter_by(username = uname).first() if user is None: abort(404) form = UpdateProfile() if form.validate_on_submit(): user.bio = form.bio.data db.session.add(user) db.session.commit() return redirect(url_for('.profile',uname=user.username)) return render_template('profile/update.html',form =form) @main.route('/user/<uname>/update/pic',methods= ['POST']) @login_required def update_pic(uname): user = User.query.filter_by(username = uname).first() if 'photo' in request.files: filename = photos.save(request.files['photo']) path = f'photos/{filename}' user.profile_pic_path = path db.session.commit() return redirect(url_for('main.profile',uname=uname)) @main.route('/review/<int:id>') def single_review(id): review=Review.query.get(id) if review is None: abort(404) format_review = markdown2.markdown(review.movie_review,extras=["code-friendly", "fenced-code-blocks"]) return render_template('review.html',review = review,format_review=format_review)

[ "[email protected]" ]

[email protected]

da6cc4d0465295d7dfc8e71959ada0bb8de28a93

87706e10023b027bf6b4ef9146242a99c0ebbea2

/docs/conf.py

1fe4bd3668497bf382483451a6823a64d9af1fb9

[ "Unlicense" ]

permissive

Kadantte/anime-downloader

206dc7b9850d6494135ee143c4069df024e500d0

24de83d4ef392e17f39710cc9054ff90e3602533

refs/heads/master

2022-09-24T02:16:30.770196

2022-09-12T11:12:28

168,595,085

8

0

Unlicense

2022-09-12T15:01:57

2019-01-31T20:54:19

Python

UTF-8

Python

false

5,643

py

# -*- 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('../anime_downloader')) # -- Project information ----------------------------------------------------- project = 'anime-downloader' copyright = '2018, Vishnunarayan K I' author = 'Vishnunarayan K I' # The short X.Y version version = '' # The full version, including alpha/beta/rc tags release = '3.5.0' # -- 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.todo', 'sphinx.ext.viewcode', 'sphinx.ext.napoleon', ] # 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 = None # -- Options for HTML output ------------------------------------------------- # The theme to use for HTML and HTML Help pages. See the documentation for # a list of builtin themes. # # html_theme = 'alabaster' html_theme = "sphinx_rtd_theme" # 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 = 'anime-downloaderdoc' # -- 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, 'anime-downloader.tex', 'anime-downloader Documentation', 'Vishnunarayan K I', '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, 'anime-downloader', 'anime-downloader 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, 'anime-downloader', 'anime-downloader Documentation', author, 'anime-downloader', 'One line description of project.', 'Miscellaneous'), ] # -- Options for Epub output ------------------------------------------------- # Bibliographic Dublin Core info. epub_title = project # The unique identifier of the text. This can be a ISBN number # or the project homepage. # # epub_identifier = '' # A unique identification for the text. # # epub_uid = '' # A list of files that should not be packed into the epub file. epub_exclude_files = ['search.html'] # -- Extension configuration ------------------------------------------------- # -- Options for todo extension ---------------------------------------------- # If true, `todo` and `todoList` produce output, else they produce nothing. todo_include_todos = True

[ "[email protected]" ]

[email protected]

a31238640d5eae14cbeb79d20eede97d6bcd4516

ba0cbdae81c171bd4be7b12c0594de72bd6d625a

/MyToontown/Toontown2016/toontown/parties/DistributedPartyCatchActivity.py

e776ef0b7ed00871035165e64ae831b02d97636a

[]

no_license

sweep41/Toontown-2016

65985f198fa32a832e762fa9c59e59606d6a40a3

7732fb2c27001264e6dd652c057b3dc41f9c8a7d

refs/heads/master

2021-01-23T16:04:45.264205

2017-06-04T02:47:34

93,279,679

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from pandac.PandaModules import Vec3, Point3, Point4, TextNode, NodePath from pandac.PandaModules import CollisionHandlerEvent, CollisionNode, CollisionSphere from direct.distributed.ClockDelta import globalClockDelta from direct.interval.IntervalGlobal import Sequence, Parallel from direct.interval.IntervalGlobal import LerpScaleInterval, LerpFunctionInterval, LerpColorScaleInterval, LerpPosInterval from direct.interval.IntervalGlobal import SoundInterval, WaitInterval from direct.showbase.PythonUtil import Functor, bound, lerp, SerialNumGen from direct.showbase.RandomNumGen import RandomNumGen from direct.task.Task import Task from direct.distributed import DistributedSmoothNode from direct.directnotify import DirectNotifyGlobal from direct.interval.FunctionInterval import Wait, Func from toontown.toonbase import TTLocalizer from toontown.toon import Toon from toontown.toonbase import ToontownGlobals from toontown.minigame.Trajectory import Trajectory from toontown.minigame.OrthoDrive import OrthoDrive from toontown.minigame.OrthoWalk import OrthoWalk from toontown.minigame.DropPlacer import PartyRegionDropPlacer from toontown.parties import PartyGlobals from toontown.parties.PartyCatchActivityToonSD import PartyCatchActivityToonSD from toontown.parties.DistributedPartyActivity import DistributedPartyActivity from toontown.parties.DistributedPartyCatchActivityBase import DistributedPartyCatchActivityBase from toontown.parties.DistributedPartyCannonActivity import DistributedPartyCannonActivity from toontown.parties.activityFSMs import CatchActivityFSM class DistributedPartyCatchActivity(DistributedPartyActivity, DistributedPartyCatchActivityBase): notify = DirectNotifyGlobal.directNotify.newCategory('DistributedPartyCatchActivity') DropTaskName = 'dropSomething' DropObjectPlurals = {'apple': TTLocalizer.PartyCatchActivityApples, 'orange': TTLocalizer.PartyCatchActivityOranges, 'pear': TTLocalizer.PartyCatchActivityPears, 'coconut': TTLocalizer.PartyCatchActivityCoconuts, 'watermelon': TTLocalizer.PartyCatchActivityWatermelons, 'pineapple': TTLocalizer.PartyCatchActivityPineapples, 'anvil': TTLocalizer.PartyCatchActivityAnvils} class Generation: def __init__(self, generation, startTime, startNetworkTime, numPlayers): self.generation = generation self.startTime = startTime self.startNetworkTime = startNetworkTime self.numPlayers = numPlayers self.hasBeenScheduled = False self.droppedObjNames = [] self.dropSchedule = [] self.numItemsDropped = 0 self.droppedObjCaught = {} def __init__(self, cr): DistributedPartyActivity.__init__(self, cr, PartyGlobals.ActivityIds.PartyCatch, PartyGlobals.ActivityTypes.HostInitiated, wantRewardGui=True) self.setUsesSmoothing() self.setUsesLookAround() self._sNumGen = SerialNumGen() def getTitle(self): return TTLocalizer.PartyCatchActivityTitle def getInstructions(self): return TTLocalizer.PartyCatchActivityInstructions % {'badThing': self.DropObjectPlurals['anvil']} def generate(self): DistributedPartyActivity.generate(self) self.notify.info('localAvatar doId: %s' % base.localAvatar.doId) self.notify.info('generate()') self._generateFrame = globalClock.getFrameCount() self._id2gen = {} self._orderedGenerations = [] self._orderedGenerationIndex = None rng = RandomNumGen(self.doId) self._generationSeedBase = rng.randrange(1000) self._lastDropTime = 0.0 return def getCurGeneration(self): if self._orderedGenerationIndex is None: return return self._orderedGenerations[self._orderedGenerationIndex] def _addGeneration(self, generation, startTime, startNetworkTime, numPlayers): self._id2gen[generation] = self.Generation(generation, startTime, startNetworkTime, numPlayers) i = 0 while 1: if i >= len(self._orderedGenerations): break gen = self._orderedGenerations[i] startNetT = self._id2gen[gen].startTime genId = self._id2gen[gen].generation if startNetT > startNetworkTime: break if startNetT == startNetworkTime and genId > generation: break i += 1 self._orderedGenerations = self._orderedGenerations[:i] + [generation] + self._orderedGenerations[i:] if self._orderedGenerationIndex is not None: if self._orderedGenerationIndex >= i: self._orderedGenerationIndex += 1 def _removeGeneration(self, generation): del self._id2gen[generation] i = self._orderedGenerations.index(generation) self._orderedGenerations = self._orderedGenerations[:i] + self._orderedGenerations[i + 1:] if self._orderedGenerationIndex is not None: if len(self._orderedGenerations): if self._orderedGenerationIndex >= i: self._orderedGenerationIndex -= 1 else: self._orderedGenerationIndex = None return def announceGenerate(self): self.notify.info('announceGenerate()') self.catchTreeZoneEvent = 'fence_floor' DistributedPartyActivity.announceGenerate(self) def load(self, loadModels = 1, arenaModel = 'partyCatchTree'): self.notify.info('load()') DistributedPartyCatchActivity.notify.debug('PartyCatch: load') self.activityFSM = CatchActivityFSM(self) if __dev__: for o in xrange(3): print {0: 'SPOTS PER PLAYER', 1: 'DROPS PER MINUTE PER SPOT DURING NORMAL DROP PERIOD', 2: 'DROPS PER MINUTE PER PLAYER DURING NORMAL DROP PERIOD'}[o] for i in xrange(1, self.FallRateCap_Players + 10): self.defineConstants(forceNumPlayers=i) numDropLocations = self.DropRows * self.DropColumns numDropsPerMin = 60.0 / self.DropPeriod if o == 0: spotsPerPlayer = numDropLocations / float(i) print '%2d PLAYERS: %s' % (i, spotsPerPlayer) elif o == 1: numDropsPerMinPerSpot = numDropsPerMin / numDropLocations print '%2d PLAYERS: %s' % (i, numDropsPerMinPerSpot) elif i > 0: numDropsPerMinPerPlayer = numDropsPerMin / i print '%2d PLAYERS: %s' % (i, numDropsPerMinPerPlayer) self.defineConstants() self.treesAndFence = loader.loadModel('phase_13/models/parties/%s' % arenaModel) self.treesAndFence.setScale(0.9) self.treesAndFence.find('**/fence_floor').setPos(0.0, 0.0, 0.1) self.treesAndFence.reparentTo(self.root) ground = self.treesAndFence.find('**/groundPlane') ground.setBin('ground', 1) DistributedPartyActivity.load(self) exitText = TextNode('PartyCatchExitText') exitText.setCardAsMargin(0.1, 0.1, 0.1, 0.1) exitText.setCardDecal(True) exitText.setCardColor(1.0, 1.0, 1.0, 0.0) exitText.setText(TTLocalizer.PartyCatchActivityExit) exitText.setTextColor(0.0, 8.0, 0.0, 0.9) exitText.setAlign(exitText.ACenter) exitText.setFont(ToontownGlobals.getBuildingNametagFont()) exitText.setShadowColor(0, 0, 0, 1) exitText.setBin('fixed') if TTLocalizer.BuildingNametagShadow: exitText.setShadow(*TTLocalizer.BuildingNametagShadow) exitTextLoc = self.treesAndFence.find('**/loc_exitSignText') exitTextNp = exitTextLoc.attachNewNode(exitText) exitTextNp.setDepthWrite(0) exitTextNp.setScale(4) exitTextNp.setZ(-.5) self.sign.reparentTo(self.treesAndFence.find('**/loc_eventSign')) self.sign.wrtReparentTo(self.root) self.avatarNodePath = NodePath('PartyCatchAvatarNodePath') self.avatarNodePath.reparentTo(self.root) self._avatarNodePathParentToken = 3 base.cr.parentMgr.registerParent(self._avatarNodePathParentToken, self.avatarNodePath) self.toonSDs = {} self.dropShadow = loader.loadModelOnce('phase_3/models/props/drop_shadow') self.dropObjModels = {} if loadModels: self.__loadDropModels() self.sndGoodCatch = base.loader.loadSfx('phase_4/audio/sfx/SZ_DD_treasure.ogg') self.sndOof = base.loader.loadSfx('phase_4/audio/sfx/MG_cannon_hit_dirt.ogg') self.sndAnvilLand = base.loader.loadSfx('phase_4/audio/sfx/AA_drop_anvil_miss.ogg') self.sndPerfect = base.loader.loadSfx('phase_4/audio/sfx/ring_perfect.ogg') self.__textGen = TextNode('partyCatchActivity') self.__textGen.setFont(ToontownGlobals.getSignFont()) self.__textGen.setAlign(TextNode.ACenter) self.activityFSM.request('Idle') def __loadDropModels(self): for objType in PartyGlobals.DropObjectTypes: model = loader.loadModel(objType.modelPath) self.dropObjModels[objType.name] = model modelScales = {'apple': 0.7, 'orange': 0.7, 'pear': 0.5, 'coconut': 0.7, 'watermelon': 0.6, 'pineapple': 0.45} if modelScales.has_key(objType.name): model.setScale(modelScales[objType.name]) if objType == PartyGlobals.Name2DropObjectType['pear']: model.setZ(-.6) if objType == PartyGlobals.Name2DropObjectType['coconut']: model.setP(180) if objType == PartyGlobals.Name2DropObjectType['watermelon']: model.setH(135) model.setZ(-.5) if objType == PartyGlobals.Name2DropObjectType['pineapple']: model.setZ(-1.7) if objType == PartyGlobals.Name2DropObjectType['anvil']: model.setZ(-self.ObjRadius) model.flattenStrong() def unload(self): DistributedPartyCatchActivity.notify.debug('unload') self.finishAllDropIntervals() self.destroyOrthoWalk() DistributedPartyActivity.unload(self) self.stopDropTask() del self.activityFSM del self.__textGen for avId in self.toonSDs.keys(): if self.toonSDs.has_key(avId): toonSD = self.toonSDs[avId] toonSD.unload() del self.toonSDs self.treesAndFence.removeNode() del self.treesAndFence self.dropShadow.removeNode() del self.dropShadow base.cr.parentMgr.unregisterParent(self._avatarNodePathParentToken) for model in self.dropObjModels.values(): model.removeNode() del self.dropObjModels del self.sndGoodCatch del self.sndOof del self.sndAnvilLand del self.sndPerfect def setStartTimestamp(self, timestamp32): self.notify.info('setStartTimestamp(%s)' % (timestamp32,)) self._startTimestamp = globalClockDelta.networkToLocalTime(timestamp32, bits=32) def getCurrentCatchActivityTime(self): return globalClock.getFrameTime() - self._startTimestamp def getObjModel(self, objName): return self.dropObjModels[objName].copyTo(hidden) def joinRequestDenied(self, reason): DistributedPartyActivity.joinRequestDenied(self, reason) base.cr.playGame.getPlace().fsm.request('walk') def handleToonJoined(self, toonId): if not self.toonSDs.has_key(toonId): toonSD = PartyCatchActivityToonSD(toonId, self) self.toonSDs[toonId] = toonSD toonSD.load() self.notify.debug('handleToonJoined : currentState = %s' % self.activityFSM.state) self.cr.doId2do[toonId].useLOD(500) if self.activityFSM.state == 'Active': if self.toonSDs.has_key(toonId): self.toonSDs[toonId].enter() if base.localAvatar.doId == toonId: base.localAvatar.b_setParent(self._avatarNodePathParentToken) self.putLocalAvatarInActivity() if self.toonSDs.has_key(toonId): self.toonSDs[toonId].fsm.request('rules') def handleToonExited(self, toonId): self.notify.debug('handleToonExited( toonId=%s )' % toonId) if self.cr.doId2do.has_key(toonId): self.cr.doId2do[toonId].resetLOD() if self.toonSDs.has_key(toonId): self.toonSDs[toonId].fsm.request('notPlaying') self.toonSDs[toonId].exit() self.toonSDs[toonId].unload() del self.toonSDs[toonId] if base.localAvatar.doId == toonId: base.localAvatar.b_setParent(ToontownGlobals.SPRender) def takeLocalAvatarOutOfActivity(self): self.notify.debug('localToon has left the circle') camera.reparentTo(base.localAvatar) base.localAvatar.startUpdateSmartCamera() base.localAvatar.enableSmartCameraViews() base.localAvatar.setCameraPositionByIndex(base.localAvatar.cameraIndex) DistributedSmoothNode.activateSmoothing(1, 0) def _enableCollisions(self): DistributedPartyActivity._enableCollisions(self) self._enteredTree = False self.accept('enter' + self.catchTreeZoneEvent, self._toonMayHaveEnteredTree) self.accept('again' + self.catchTreeZoneEvent, self._toonMayHaveEnteredTree) self.accept('exit' + self.catchTreeZoneEvent, self._toonExitedTree) self.accept(DistributedPartyCannonActivity.LOCAL_TOON_LANDED_EVENT, self._handleCannonLanded) def _disableCollisions(self): self.ignore(DistributedPartyCannonActivity.LOCAL_TOON_LANDED_EVENT) self.ignore('enter' + self.catchTreeZoneEvent) self.ignore('again' + self.catchTreeZoneEvent) self.ignore('exit' + self.catchTreeZoneEvent) DistributedPartyActivity._disableCollisions(self) def _handleCannonLanded(self): x = base.localAvatar.getX() y = base.localAvatar.getY() if x > self.x - self.StageHalfWidth and x < self.x + self.StageHalfWidth and y > self.y - self.StageHalfHeight and y < self.y + self.StageHalfHeight: self._toonEnteredTree(None) return def _toonMayHaveEnteredTree(self, collEntry): if self._enteredTree: return if base.localAvatar.controlManager.currentControls.getIsAirborne(): return self._toonEnteredTree(collEntry) def _toonEnteredTree(self, collEntry): self.notify.debug('_toonEnteredTree : avid = %s' % base.localAvatar.doId) self.notify.debug('_toonEnteredTree : currentState = %s' % self.activityFSM.state) if self.isLocalToonInActivity(): return if self.activityFSM.state == 'Active': base.cr.playGame.getPlace().fsm.request('activity') self.d_toonJoinRequest() elif self.activityFSM.state == 'Idle': base.cr.playGame.getPlace().fsm.request('activity') self.d_toonJoinRequest() self._enteredTree = True def _toonExitedTree(self, collEntry): self.notify.debug('_toonExitedTree : avid = %s' % base.localAvatar.doId) self._enteredTree = False if hasattr(base.cr.playGame.getPlace(), 'fsm') and self.activityFSM.state == 'Active' and self.isLocalToonInActivity(): if self.toonSDs.has_key(base.localAvatar.doId): self.takeLocalAvatarOutOfActivity() self.toonSDs[base.localAvatar.doId].fsm.request('notPlaying') self.d_toonExitDemand() def setToonsPlaying(self, toonIds): self.notify.info('setToonsPlaying(%s)' % (toonIds,)) DistributedPartyActivity.setToonsPlaying(self, toonIds) if self.isLocalToonInActivity() and base.localAvatar.doId not in toonIds: if self.toonSDs.has_key(base.localAvatar.doId): self.takeLocalAvatarOutOfActivity() self.toonSDs[base.localAvatar.doId].fsm.request('notPlaying') def __genText(self, text): self.__textGen.setText(text) return self.__textGen.generate() def getNumPlayers(self): return len(self.toonIds) def defineConstants(self, forceNumPlayers = None): DistributedPartyCatchActivity.notify.debug('defineConstants') self.ShowObjSpheres = 0 self.ShowToonSpheres = 0 self.useGravity = True self.trickShadows = True if forceNumPlayers is None: numPlayers = self.getNumPlayers() else: numPlayers = forceNumPlayers self.calcDifficultyConstants(numPlayers) DistributedPartyCatchActivity.notify.debug('ToonSpeed: %s' % self.ToonSpeed) DistributedPartyCatchActivity.notify.debug('total drops: %s' % self.totalDrops) DistributedPartyCatchActivity.notify.debug('numFruits: %s' % self.numFruits) DistributedPartyCatchActivity.notify.debug('numAnvils: %s' % self.numAnvils) self.ObjRadius = 1.0 dropRegionTable = PartyRegionDropPlacer.getDropRegionTable(numPlayers) self.DropRows, self.DropColumns = len(dropRegionTable), len(dropRegionTable[0]) for objType in PartyGlobals.DropObjectTypes: DistributedPartyCatchActivity.notify.debug('*** Object Type: %s' % objType.name) objType.onscreenDuration = objType.onscreenDurMult * self.BaselineOnscreenDropDuration DistributedPartyCatchActivity.notify.debug('onscreenDuration=%s' % objType.onscreenDuration) v_0 = 0.0 t = objType.onscreenDuration x_0 = self.MinOffscreenHeight x = 0.0 g = 2.0 * (x - x_0 - v_0 * t) / (t * t) DistributedPartyCatchActivity.notify.debug('gravity=%s' % g) objType.trajectory = Trajectory(0, Vec3(0, 0, x_0), Vec3(0, 0, v_0), gravMult=abs(g / Trajectory.gravity)) objType.fallDuration = objType.onscreenDuration + self.OffscreenTime return def grid2world(self, column, row): x = column / float(self.DropColumns - 1) y = row / float(self.DropRows - 1) x = x * 2.0 - 1.0 y = y * 2.0 - 1.0 x *= self.StageHalfWidth y *= self.StageHalfHeight return (x, y) def showPosts(self): self.hidePosts() self.posts = [Toon.Toon(), Toon.Toon(), Toon.Toon(), Toon.Toon()] for i in xrange(len(self.posts)): tree = self.posts[i] tree.reparentTo(render) x = self.StageHalfWidth y = self.StageHalfHeight if i > 1: x = -x if i % 2: y = -y tree.setPos(x + self.x, y + self.y, 0) def hidePosts(self): if hasattr(self, 'posts'): for tree in self.posts: tree.removeNode() del self.posts def showDropGrid(self): self.hideDropGrid() self.dropMarkers = [] for row in xrange(self.DropRows): self.dropMarkers.append([]) rowList = self.dropMarkers[row] for column in xrange(self.DropColumns): toon = Toon.Toon() toon.setDNA(base.localAvatar.getStyle()) toon.reparentTo(self.root) toon.setScale(1.0 / 3) x, y = self.grid2world(column, row) toon.setPos(x, y, 0) rowList.append(toon) def hideDropGrid(self): if hasattr(self, 'dropMarkers'): for row in self.dropMarkers: for marker in row: marker.removeNode() del self.dropMarkers def handleToonDisabled(self, avId): DistributedPartyCatchActivity.notify.debug('handleToonDisabled') DistributedPartyCatchActivity.notify.debug('avatar ' + str(avId) + ' disabled') if self.toonSDs.has_key(avId): self.toonSDs[avId].exit(unexpectedExit=True) del self.toonSDs[avId] def turnOffSmoothingOnGuests(self): pass def setState(self, newState, timestamp): self.notify.info('setState(%s, %s)' % (newState, timestamp)) DistributedPartyCatchActivity.notify.debug('setState( newState=%s, ... )' % newState) DistributedPartyActivity.setState(self, newState, timestamp) self.activityFSM.request(newState) if newState == 'Active': if base.localAvatar.doId != self.party.partyInfo.hostId: if globalClock.getFrameCount() > self._generateFrame: if base.localAvatar.getX() > self.x - self.StageHalfWidth and base.localAvatar.getX() < self.x + self.StageHalfWidth and base.localAvatar.getY() > self.y - self.StageHalfHeight and base.localAvatar.getY() < self.y + self.StageHalfHeight: self._toonEnteredTree(None) return def putLocalAvatarInActivity(self): if base.cr.playGame.getPlace() and hasattr(base.cr.playGame.getPlace(), 'fsm'): base.cr.playGame.getPlace().fsm.request('activity', [False]) else: self.notify.info("Avoided crash: toontown.parties.DistributedPartyCatchActivity:632, toontown.parties.DistributedPartyCatchActivity:1198, toontown.parties.activityFSMMixins:49, direct.fsm.FSM:423, AttributeError: 'NoneType' object has no attribute 'fsm'") base.localAvatar.stopUpdateSmartCamera() camera.reparentTo(self.treesAndFence) camera.setPosHpr(0.0, -63.0, 30.0, 0.0, -20.0, 0.0) if not hasattr(self, 'ltLegsCollNode'): self.createCatchCollisions() def createCatchCollisions(self): radius = 0.7 handler = CollisionHandlerEvent() handler.setInPattern('ltCatch%in') self.ltLegsCollNode = CollisionNode('catchLegsCollNode') self.ltLegsCollNode.setCollideMask(PartyGlobals.CatchActivityBitmask) self.ltHeadCollNode = CollisionNode('catchHeadCollNode') self.ltHeadCollNode.setCollideMask(PartyGlobals.CatchActivityBitmask) self.ltLHandCollNode = CollisionNode('catchLHandCollNode') self.ltLHandCollNode.setCollideMask(PartyGlobals.CatchActivityBitmask) self.ltRHandCollNode = CollisionNode('catchRHandCollNode') self.ltRHandCollNode.setCollideMask(PartyGlobals.CatchActivityBitmask) legsCollNodepath = base.localAvatar.attachNewNode(self.ltLegsCollNode) legsCollNodepath.hide() head = base.localAvatar.getHeadParts().getPath(2) headCollNodepath = head.attachNewNode(self.ltHeadCollNode) headCollNodepath.hide() lHand = base.localAvatar.getLeftHands()[0] lHandCollNodepath = lHand.attachNewNode(self.ltLHandCollNode) lHandCollNodepath.hide() rHand = base.localAvatar.getRightHands()[0] rHandCollNodepath = rHand.attachNewNode(self.ltRHandCollNode) rHandCollNodepath.hide() base.localAvatar.cTrav.addCollider(legsCollNodepath, handler) base.localAvatar.cTrav.addCollider(headCollNodepath, handler) base.localAvatar.cTrav.addCollider(lHandCollNodepath, handler) base.localAvatar.cTrav.addCollider(lHandCollNodepath, handler) if self.ShowToonSpheres: legsCollNodepath.show() headCollNodepath.show() lHandCollNodepath.show() rHandCollNodepath.show() self.ltLegsCollNode.addSolid(CollisionSphere(0, 0, radius, radius)) self.ltHeadCollNode.addSolid(CollisionSphere(0, 0, 0, radius)) self.ltLHandCollNode.addSolid(CollisionSphere(0, 0, 0, 2 * radius / 3.0)) self.ltRHandCollNode.addSolid(CollisionSphere(0, 0, 0, 2 * radius / 3.0)) self.toonCollNodes = [legsCollNodepath, headCollNodepath, lHandCollNodepath, rHandCollNodepath] def destroyCatchCollisions(self): if not hasattr(self, 'ltLegsCollNode'): return for collNode in self.toonCollNodes: while collNode.node().getNumSolids(): collNode.node().removeSolid(0) base.localAvatar.cTrav.removeCollider(collNode) del self.toonCollNodes del self.ltLegsCollNode del self.ltHeadCollNode del self.ltLHandCollNode del self.ltRHandCollNode def timerExpired(self): pass def __handleCatch(self, generation, objNum): DistributedPartyCatchActivity.notify.debug('catch: %s' % [generation, objNum]) if base.localAvatar.doId not in self.toonIds: return self.showCatch(base.localAvatar.doId, generation, objNum) objName = self._id2gen[generation].droppedObjNames[objNum] objTypeId = PartyGlobals.Name2DOTypeId[objName] self.sendUpdate('claimCatch', [generation, objNum, objTypeId]) self.finishDropInterval(generation, objNum) def showCatch(self, avId, generation, objNum): if not self.toonSDs.has_key(avId): return isLocal = avId == base.localAvatar.doId if generation not in self._id2gen: return if not self._id2gen[generation].hasBeenScheduled: return objName = self._id2gen[generation].droppedObjNames[objNum] objType = PartyGlobals.Name2DropObjectType[objName] if objType.good: if not self._id2gen[generation].droppedObjCaught.has_key(objNum): if isLocal: base.playSfx(self.sndGoodCatch) fruit = self.getObjModel(objName) toon = self.getAvatar(avId) rHand = toon.getRightHands()[1] self.toonSDs[avId].eatFruit(fruit, rHand) else: self.toonSDs[avId].fsm.request('fallForward') self._id2gen[generation].droppedObjCaught[objNum] = 1 def setObjectCaught(self, avId, generation, objNum): self.notify.info('setObjectCaught(%s, %s, %s)' % (avId, generation, objNum)) if self.activityFSM.state != 'Active': DistributedPartyCatchActivity.notify.warning('ignoring msg: object %s caught by %s' % (objNum, avId)) return isLocal = avId == base.localAvatar.doId if not isLocal: DistributedPartyCatchActivity.notify.debug('AI: avatar %s caught %s' % (avId, objNum)) self.finishDropInterval(generation, objNum) self.showCatch(avId, generation, objNum) self._scheduleGenerations() gen = self._id2gen[generation] if gen.hasBeenScheduled: objName = gen.droppedObjNames[objNum] if PartyGlobals.Name2DropObjectType[objName].good: if hasattr(self, 'fruitsCaught'): self.fruitsCaught += 1 def finishDropInterval(self, generation, objNum): if hasattr(self, 'dropIntervals'): if self.dropIntervals.has_key((generation, objNum)): self.dropIntervals[generation, objNum].finish() def finishAllDropIntervals(self): if hasattr(self, 'dropIntervals'): for dropInterval in self.dropIntervals.values(): dropInterval.finish() def setGenerations(self, generations): self.notify.info('setGenerations(%s)' % (generations,)) gen2t = {} gen2nt = {} gen2np = {} for id, timestamp32, numPlayers in generations: gen2t[id] = globalClockDelta.networkToLocalTime(timestamp32, bits=32) - self._startTimestamp gen2nt[id] = timestamp32 gen2np[id] = numPlayers ids = self._id2gen.keys() for id in ids: if id not in gen2t: self._removeGeneration(id) for id in gen2t: if id not in self._id2gen: self._addGeneration(id, gen2t[id], gen2nt[id], gen2np[id]) def scheduleDrops(self, genId = None): if genId is None: genId = self.getCurGeneration() gen = self._id2gen[genId] if gen.hasBeenScheduled: return fruitIndex = int((gen.startTime + 0.5 * self.DropPeriod) / PartyGlobals.CatchActivityDuration) fruitNames = ['apple', 'orange', 'pear', 'coconut', 'watermelon', 'pineapple'] fruitName = fruitNames[fruitIndex % len(fruitNames)] rng = RandomNumGen(genId + self._generationSeedBase) gen.droppedObjNames = [fruitName] * self.numFruits + ['anvil'] * self.numAnvils rng.shuffle(gen.droppedObjNames) dropPlacer = PartyRegionDropPlacer(self, gen.numPlayers, genId, gen.droppedObjNames, startTime=gen.startTime) gen.numItemsDropped = 0 tIndex = gen.startTime % PartyGlobals.CatchActivityDuration tPercent = float(tIndex) / PartyGlobals.CatchActivityDuration gen.numItemsDropped += dropPlacer.skipPercent(tPercent) while not dropPlacer.doneDropping(continuous=True): nextDrop = dropPlacer.getNextDrop() gen.dropSchedule.append(nextDrop) gen.hasBeenScheduled = True return def startDropTask(self): taskMgr.add(self.dropTask, self.DropTaskName) def stopDropTask(self): taskMgr.remove(self.DropTaskName) def _scheduleGenerations(self): curT = self.getCurrentCatchActivityTime() genIndex = self._orderedGenerationIndex newGenIndex = genIndex while genIndex is None or genIndex < len(self._orderedGenerations) - 1: if genIndex is None: nextGenIndex = 0 else: nextGenIndex = genIndex + 1 nextGenId = self._orderedGenerations[nextGenIndex] nextGen = self._id2gen[nextGenId] startT = nextGen.startTime if curT >= startT: newGenIndex = nextGenIndex if not nextGen.hasBeenScheduled: self.defineConstants(forceNumPlayers=nextGen.numPlayers) self.scheduleDrops(genId=self._orderedGenerations[nextGenIndex]) genIndex = nextGenIndex self._orderedGenerationIndex = newGenIndex return def dropTask(self, task): self._scheduleGenerations() curT = self.getCurrentCatchActivityTime() if self._orderedGenerationIndex is not None: i = self._orderedGenerationIndex genIndex = self._orderedGenerations[i] gen = self._id2gen[genIndex] while len(gen.dropSchedule) > 0 and gen.dropSchedule[0][0] < curT: drop = gen.dropSchedule[0] gen.dropSchedule = gen.dropSchedule[1:] dropTime, objName, dropCoords = drop objNum = gen.numItemsDropped x, y = self.grid2world(*dropCoords) dropIval = self.getDropIval(x, y, objName, genIndex, objNum) def cleanup(generation, objNum, self = self): del self.dropIntervals[generation, objNum] dropIval.append(Func(Functor(cleanup, genIndex, objNum))) self.dropIntervals[genIndex, objNum] = dropIval gen.numItemsDropped += 1 dropIval.start(curT - dropTime) self._lastDropTime = dropTime return Task.cont def getDropIval(self, x, y, dropObjName, generation, num): objType = PartyGlobals.Name2DropObjectType[dropObjName] id = (generation, num) dropNode = hidden.attachNewNode('catchDropNode%s' % (id,)) dropNode.setPos(x, y, 0) shadow = self.dropShadow.copyTo(dropNode) shadow.setZ(PartyGlobals.CatchDropShadowHeight) shadow.setColor(1, 1, 1, 1) object = self.getObjModel(dropObjName) object.reparentTo(hidden) if dropObjName in ['watermelon', 'anvil']: objH = object.getH() absDelta = {'watermelon': 12, 'anvil': 15}[dropObjName] delta = (self.randomNumGen.random() * 2.0 - 1.0) * absDelta newH = objH + delta else: newH = self.randomNumGen.random() * 360.0 object.setH(newH) sphereName = 'FallObj%s' % (id,) radius = self.ObjRadius if objType.good: radius *= lerp(1.0, 1.3, 0.5) collSphere = CollisionSphere(0, 0, 0, radius) collSphere.setTangible(0) collNode = CollisionNode(sphereName) collNode.setCollideMask(PartyGlobals.CatchActivityBitmask) collNode.addSolid(collSphere) collNodePath = object.attachNewNode(collNode) collNodePath.hide() if self.ShowObjSpheres: collNodePath.show() catchEventName = 'ltCatch' + sphereName def eatCollEntry(forward, collEntry): forward() self.accept(catchEventName, Functor(eatCollEntry, Functor(self.__handleCatch, id[0], id[1]))) def cleanup(self = self, dropNode = dropNode, id = id, event = catchEventName): self.ignore(event) dropNode.removeNode() duration = objType.fallDuration onscreenDuration = objType.onscreenDuration targetShadowScale = 0.3 if self.trickShadows: intermedScale = targetShadowScale * (self.OffscreenTime / self.BaselineDropDuration) shadowScaleIval = Sequence(LerpScaleInterval(shadow, self.OffscreenTime, intermedScale, startScale=0)) shadowScaleIval.append(LerpScaleInterval(shadow, duration - self.OffscreenTime, targetShadowScale, startScale=intermedScale)) else: shadowScaleIval = LerpScaleInterval(shadow, duration, targetShadowScale, startScale=0) targetShadowAlpha = 0.4 shadowAlphaIval = LerpColorScaleInterval(shadow, self.OffscreenTime, Point4(1, 1, 1, targetShadowAlpha), startColorScale=Point4(1, 1, 1, 0)) shadowIval = Parallel(shadowScaleIval, shadowAlphaIval) if self.useGravity: def setObjPos(t, objType = objType, object = object): z = objType.trajectory.calcZ(t) object.setZ(z) setObjPos(0) dropIval = LerpFunctionInterval(setObjPos, fromData=0, toData=onscreenDuration, duration=onscreenDuration) else: startPos = Point3(0, 0, self.MinOffscreenHeight) object.setPos(startPos) dropIval = LerpPosInterval(object, onscreenDuration, Point3(0, 0, 0), startPos=startPos, blendType='easeIn') ival = Sequence(Func(Functor(dropNode.reparentTo, self.root)), Parallel(Sequence(WaitInterval(self.OffscreenTime), Func(Functor(object.reparentTo, dropNode)), dropIval), shadowIval), Func(cleanup), name='drop%s' % (id,)) if objType == PartyGlobals.Name2DropObjectType['anvil']: ival.append(Func(self.playAnvil)) return ival def playAnvil(self): if base.localAvatar.doId in self.toonIds: base.playSfx(self.sndAnvilLand) def initOrthoWalk(self): DistributedPartyCatchActivity.notify.debug('startOrthoWalk') def doCollisions(oldPos, newPos, self = self): x = bound(newPos[0], self.StageHalfWidth, -self.StageHalfWidth) y = bound(newPos[1], self.StageHalfHeight, -self.StageHalfHeight) newPos.setX(x) newPos.setY(y) return newPos orthoDrive = OrthoDrive(self.ToonSpeed, instantTurn=True) self.orthoWalk = OrthoWalk(orthoDrive, broadcast=True) def destroyOrthoWalk(self): DistributedPartyCatchActivity.notify.debug('destroyOrthoWalk') if hasattr(self, 'orthoWalk'): self.orthoWalk.stop() self.orthoWalk.destroy() del self.orthoWalk def startIdle(self): DistributedPartyCatchActivity.notify.debug('startIdle') def finishIdle(self): DistributedPartyCatchActivity.notify.debug('finishIdle') def startActive(self): DistributedPartyCatchActivity.notify.debug('startActive') for avId in self.toonIds: if self.toonSDs.has_key(avId): toonSD = self.toonSDs[avId] toonSD.enter() toonSD.fsm.request('normal') self.fruitsCaught = 0 self.dropIntervals = {} self.startDropTask() if base.localAvatar.doId in self.toonIds: self.putLocalAvatarInActivity() def finishActive(self): DistributedPartyCatchActivity.notify.debug('finishActive') self.stopDropTask() if hasattr(self, 'finishIval'): self.finishIval.pause() del self.finishIval if base.localAvatar.doId in self.toonIds: self.takeLocalAvatarOutOfActivity() for ival in self.dropIntervals.values(): ival.finish() del self.dropIntervals def startConclusion(self): DistributedPartyCatchActivity.notify.debug('startConclusion') for avId in self.toonIds: if self.toonSDs.has_key(avId): toonSD = self.toonSDs[avId] toonSD.fsm.request('notPlaying') self.destroyCatchCollisions() if base.localAvatar.doId not in self.toonIds: return else: self.localToonExiting() if self.fruitsCaught >= self.numFruits: finishText = TTLocalizer.PartyCatchActivityFinishPerfect else: finishText = TTLocalizer.PartyCatchActivityFinish perfectTextSubnode = hidden.attachNewNode(self.__genText(finishText)) perfectText = hidden.attachNewNode('perfectText') perfectTextSubnode.reparentTo(perfectText) frame = self.__textGen.getCardActual() offsetY = -abs(frame[2] + frame[3]) / 2.0 perfectTextSubnode.setPos(0, 0, offsetY) perfectText.setColor(1, 0.1, 0.1, 1) def fadeFunc(t, text = perfectText): text.setColorScale(1, 1, 1, t) def destroyText(text = perfectText): text.removeNode() textTrack = Sequence(Func(perfectText.reparentTo, aspect2d), Parallel(LerpScaleInterval(perfectText, duration=0.5, scale=0.3, startScale=0.0), LerpFunctionInterval(fadeFunc, fromData=0.0, toData=1.0, duration=0.5)), Wait(2.0), Parallel(LerpScaleInterval(perfectText, duration=0.5, scale=1.0), LerpFunctionInterval(fadeFunc, fromData=1.0, toData=0.0, duration=0.5, blendType='easeIn')), Func(destroyText), WaitInterval(0.5)) soundTrack = SoundInterval(self.sndPerfect) self.finishIval = Parallel(textTrack, soundTrack) self.finishIval.start() def finishConclusion(self): DistributedPartyCatchActivity.notify.debug('finishConclusion') if base.localAvatar.doId in self.toonIds: self.takeLocalAvatarOutOfActivity() base.cr.playGame.getPlace().fsm.request('walk') def showJellybeanReward(self, earnedAmount, jarAmount, message): if earnedAmount > 0: DistributedPartyActivity.showJellybeanReward(self, earnedAmount, jarAmount, message) else: base.cr.playGame.getPlace().fsm.request('walk')

[ "[email protected]" ]

[email protected]

afd81f81f1f1b883587446ae90c0eef7fe9119b6

7d02813987b49c2a69d92b9b2fdf5148af37274f

/case/Recommend/testAccountBind.py

bfa36a597587e27610642247da283901f0f4eb06

[]

no_license

xgh321324/api_test

29e01cbe5f0b7c2df25fb7e781cedf8031140c72

2575495baac3ab90adab7a7a85904c38a78dd4b7

refs/heads/master

2022-07-23T19:54:39.320828

2022-07-02T09:13:35

129,185,513

0

null

UTF-8

Python

false

2,803

py

#coding:utf-8 from common.login_lanting import auto_login_by_UID import requests,unittest,time,json from common.logger import Log from common.Hash import get_digit,get_sign from common.Excel import Excel_util class Account(unittest.TestCase): @classmethod def setUpClass(cls): cls.s = requests.session() cls.to = auto_login_by_UID() cls.header = {'User-Agent': 'PelvicFloorPersonal/4.1.1 (iPad; iOS 10.1.1; Scale/2.00)', 'Accept-Encoding': 'gzip, deflate', 'Accept-Language': 'zh-Hans-CN;q=1', 'Content-Type': 'application/json', 'requestApp': '2', 'requestclient': '2', 'versionForApp': '4.4.0', 'Authorization': 'Basic YXBpTGFudGluZ0BtZWRsYW5kZXIuY29tOkFwaVRobWxkTWxkQDIwMTM=', 'Connection': 'keep-alive' } cls.log = Log() cls.excel = Excel_util(r'C:\Users\Administrator\Desktop\Interface_testcase.xls') def test_bind_account01(self): u'绑定提现账号接口' self.log.info('开始测试绑定账号接口..') url = 'http://api-rec.sunnycare.cc/v1/account/bind' json_data = { 'token': self.to, 'timestamp': str(int(time.time())), 'alipay_account': '2088012687108144', 'real_name': '许广会', 'nick_name': '许广会', 'nonce': get_digit() } json_data['sign'] = get_sign(json_data) r = self.s.post(url,headers = self.header,json=json_data) self.log.info('绑定支付宝返回：%s' % r.json()) #断言 self.assertEqual(200,r.json()['code'],msg='返回状态码不是200') self.assertEqual('请求成功',r.json()['note']) self.log.info('绑定账号接口测试结束！\n') def test_bind_account02(self): u'解除绑定账号接口' self.log.info('开始测试解除绑定账号接口..') url = 'http://api-rec.sunnycare.cc/v1/account/unbind' json_data = { 'token': self.to, 'timestamp': str(int(time.time())), 'type': '0',#0,支付宝；1，微信 'nonce': get_digit() } json_data['sign'] = get_sign(json_data) r = self.s.post(url,headers = self.header,json=json_data) self.log.info('解除绑定支付宝返回：%s' % r.json()) #断言 self.assertEqual(200,r.json()['code'],msg='返回状态码不是200') self.assertEqual('请求成功',r.json()['note']) self.log.info('解除绑定账号接口测试结束！\n') @classmethod def tearDownClass(cls): cls.s.close() if __name__=='__main__': unittest.main()

[ "[email protected]" ]

[email protected]

56cfe94c34974098be5441d30e82c556d53a814e

86a017dd4c8d4d77c511cc598190aaa9dc0ae3e8

/data structure/mine_linked_list.py

92ff136a59524e8fa5ebb2031ddd83e8e998da40

[]

no_license

sungguenja/studying

fd7459eb9faa6488d7b63bf3884a92513daf3c54

719f4dfbda211c34de2a0c8cf3b9d3001f29fcec

refs/heads/master

2023-08-17T13:46:44.343780

2023-08-10T11:55:15

232,306,053

0

null

2022-12-16T10:53:26

2020-01-07T11:00:28

Python

UTF-8

Python

false

1,711

py

import mine_node class LinkedList: def __init__(self): self.head = None def isEmpty(self): return self.top == None def clear(self): self.top = None def push(self,item): now_node = mine_node.Node(item,self.top) self.top = now_node def size(self): node = self.top count = 0 while node != None: count += 1 node = node.link return count def getNode(self,position): if position<0: return None node = self.head while position>0 and node != None: node = node.link position -= 1 return node def getValue(self,position): node = self.getNode(position) if node == None: return None else: return node.data def replace(self,item,position): node = self.getNode(position) if node != None: node.data = item def find(self,data): node = self.head while node != None: if node.data == data: break node = node.link return node def insert(self,position,data): node = self.getNode(position-1) if node == None: self.head = mine_node.Node(data,self.head) else: insert_node = mine_node.Node(data,node.link) node.link = insert_node def delete(self,position): node = self.getNode(position-1) if node != None: if self.head != None: self.head = self.head.link elif node.link != None: node.link = node.link.link

[ "[email protected]" ]

[email protected]

4724d5aa9415a81ce783f5bab5bea5842e84c4e9

217440fcc3a91e4ad1a8e008bd315128de7d571a

/day11/08-常见类的函数.py

9a1178d3e15539060839c925447403eea8ccf73c

[]

no_license

zhangbo111/0102-0917

a6af056ce9c9a8ab9500e8d016846dc6c50ec1c6

1631ea402612e82ae62b093749e2c4f19a021c63

refs/heads/master

2020-04-18T16:55:41.675156

2019-02-12T01:48:25

167,643,635

0

null

UTF-8

Python

false

457

py

class Father: pass class Mother: pass class Laowang: pass class Son(Father, Mother): pass # 检测一个类是否是另外一个类的子类如果是返回True 否 False result1 = issubclass(Son, Father) result2 = issubclass(Son, Mother) result3 = issubclass(Son, Laowang) # 检测Son类是否是Mother类或者Laowang类的子类满足一个就可以 result4 = issubclass(Son, (Mother, Laowang)) print(result1, result2, result3, result4)

[ "[email protected]" ]

[email protected]

5f7a6e0094d7dff4e2a88f1833c2b9afbec85264

24fe1f54fee3a3df952ca26cce839cc18124357a

/servicegraph/lib/python2.7/site-packages/acimodel-4.0_3d-py2.7.egg/cobra/modelimpl/rtdmc/ajpfilterpol.py

2d8941c96e207a74adc8b90ad0b1cdbcb211fabc

[]

no_license

aperiyed/servicegraph-cloudcenter

4b8dc9e776f6814cf07fe966fbd4a3481d0f45ff

9eb7975f2f6835e1c0528563a771526896306392

refs/heads/master

2023-05-10T17:27:18.022381

2020-01-20T09:18:28

235,065,676

0

null

2023-05-01T21:19:14

2020-01-20T09:36:37

Python

UTF-8

Python

false

4,481

py

# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2019 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.mit.meta import StatsClassMeta from cobra.mit.meta import CounterMeta from cobra.mit.meta import PropMeta from cobra.mit.meta import Category from cobra.mit.meta import SourceRelationMeta from cobra.mit.meta import NamedSourceRelationMeta from cobra.mit.meta import TargetRelationMeta from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory from cobra.model.category import MoCategory, PropCategory, CounterCategory from cobra.mit.mo import Mo # ################################################## class AJPFilterPol(Mo): meta = ClassMeta("cobra.model.rtdmc.AJPFilterPol") meta.isAbstract = True meta.moClassName = "rtdmcAJPFilterPol" meta.moClassName = "rtdmcAJPFilterPol" meta.rnFormat = "" meta.category = MoCategory.REGULAR meta.label = "Abstract JP Filter Policy" meta.writeAccessMask = 0x20000001 meta.readAccessMask = 0x20000001 meta.isDomainable = False meta.isReadOnly = False meta.isConfigurable = True meta.isDeletable = True meta.isContextRoot = False meta.childClasses.add("cobra.model.rtdmc.RsFilterToRtMapPol") meta.childClasses.add("cobra.model.pim.RouteMapDef") meta.childClasses.add("cobra.model.fault.Delegate") meta.childNamesAndRnPrefix.append(("cobra.model.rtdmc.RsFilterToRtMapPol", "rsfilterToRtMapPol")) meta.childNamesAndRnPrefix.append(("cobra.model.pim.RouteMapDef", "rtmapdef")) meta.childNamesAndRnPrefix.append(("cobra.model.fault.Delegate", "fd-")) meta.superClasses.add("cobra.model.pol.Comp") meta.superClasses.add("cobra.model.naming.NamedObject") meta.superClasses.add("cobra.model.pol.Obj") meta.superClasses.add("cobra.model.rtdmc.AFilterPol") meta.concreteSubClasses.add("cobra.model.pim.JPOutbFilterDef") meta.concreteSubClasses.add("cobra.model.pim.JPInbFilterPol") meta.concreteSubClasses.add("cobra.model.pim.JPInbFilterDef") meta.concreteSubClasses.add("cobra.model.pim.JPOutbFilterPol") meta.rnPrefixes = [ ] prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("deleteAll", "deleteall", 16384) prop._addConstant("deleteNonPresent", "deletenonpresent", 8192) prop._addConstant("ignore", "ignore", 4096) meta.props.add("childAction", prop) prop = PropMeta("str", "descr", "descr", 5582, PropCategory.REGULAR) prop.label = "Description" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 128)] prop.regex = ['[a-zA-Z0-9\\!#$%()*,-./:;@ _{|}~?&+]+'] meta.props.add("descr", prop) prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN) prop.label = "None" prop.isDn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("dn", prop) prop = PropMeta("str", "name", "name", 4991, PropCategory.REGULAR) prop.label = "Name" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 64)] prop.regex = ['[a-zA-Z0-9_.:-]+'] meta.props.add("name", prop) prop = PropMeta("str", "nameAlias", "nameAlias", 28417, PropCategory.REGULAR) prop.label = "Name alias" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 63)] prop.regex = ['[a-zA-Z0-9_.-]+'] meta.props.add("nameAlias", prop) prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN) prop.label = "None" prop.isRn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("rn", prop) prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("created", "created", 2) prop._addConstant("deleted", "deleted", 8) prop._addConstant("modified", "modified", 4) meta.props.add("status", prop) def __init__(self, parentMoOrDn, markDirty=True, **creationProps): namingVals = [] Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps) # End of package file # ##################################################

[ "[email protected]" ]

[email protected]

e2a0d3c0ad23256cde4b53012bff5b0474c41b96

56014da6ebc817dcb3b7a136df8b11cf9f976d93

/Python基础笔记/05-读写文件及办公文档自动化/05.04-OS模块.py

09d813dea42521efecdd3acd34a51b2e3b7f6223

[]

no_license

sunday2146/notes-python

52b2441c981c1106e70a94b999e986999334239a

e19d2aee1aa9433598ac3c0a2a73b0c1e8fa6dc2

refs/heads/master

2022-01-12T22:55:45.401326

2019-01-18T03:18:26

null

0

null

UTF-8

Python

false

1,945

py

import os """ os：包含了普遍的操作系统的功能 """ #nt---windows系统 posix---linux，Unix或Mac OS X #获取操作系统类型 print(os.name) #print(os.unname)--打印操作系统详细的信息，windows不支持 #获取操作系统中的环境变量 print(os.environ) #获取指定环境变量 print(os.environ.get("appdata")) #获得当前目录 ./a/ print(os.curdir) #获取当前工作目录，即当前python脚本所在的目录 print(os.getcwd()) #以列表的形式返回指定目录下所有文件 print(os.listdir(r"C:\Users\Zhangyadi\Desktop")) #在当前目录下创建新目录 #os.mkdir("sunck") #删除目录 #os.rmdir("sunck") #获取文件属性 #print(os.stat("sunck")) #重命名 #os.rename("sunck","kaige") #删除普通文件 #os.remove("hello.py.txt") #运行shell命令---记事本 #os.system("notepad") #os.system("write")-写字板 #os.system("mspaint")--画板 #os.system("shutdown-s-t 500")-自动关机 #os.system("shutdown-a")-取消 #os.system("taskkill/f /im notepad.exe")--关闭 #有些方法存在os模块里，还有写存在与os.path #查看当前的绝对路径 print(os.path.abspath("kaige")) #拼接路径 p1 = r"C:\Users\Zhangyadi\Desktop\project" p2 = "sunck" #注意：参数2里开始不要有斜杠\ #C:\Users\Zhangyadi\Desktop\project\sunck print(os.path.join(p1,p2)) p3 = "/root/sunck/home" p4 = "kaige" print(os.path.join(p3,p4)) #拆分路径 path2 = r"C:\Users\Zhangyadi\Desktop\project\kaige" print(os.path.split(path2)) #获取扩展名 print(os.path.splitext(path2)) #判断是否是目录 print(os.path.isdir(path2)) #判断文件是否存在 path3 = r"C:\Users\Zhangyadi\Desktop\56fil6.txt" print(os.path.isfile(path3)) #判断目录是否存在 print(os.path.exists(path2)) #获得文件大小(字节） print(os.path.getsize(path3)) #获得文件的目录 print(os.path.dirname(path3)) print(os.path.basename(path3))#获取文件名

[ "[email protected]" ]

[email protected]

2e9229b24034579de5a50820f63ba0a844cc8d76

765b765c7b25cd9e6fa7513794a639ecbd210c95

/powerapi/test_utils/__init__.py

582930c5a980fc9c881f27d276ff8838ca81f53b

[ "BSD-3-Clause", "Python-2.0", "Apache-2.0" ]

permissive

PierreRustOrange/powerapi

80df09dc72bf248a999216a9f5e0a167b8ea4e5e

400ee58d3dc9f3bb6706b12571cb10afd8a91787

refs/heads/master

2022-02-13T06:15:22.576416

2021-10-28T12:01:17

244,576,648

0

BSD-3-Clause

2020-03-03T08:05:07

2020-03-03T08:05:06

null

UTF-8

Python

false

1,569

py

# Copyright (c) 2021, INRIA # Copyright (c) 2021, University of Lille # 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 the copyright holder 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 HOLDER 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.

[ "[email protected]" ]

[email protected]

a71eaf902c6b63983c91e8caf7675b99dd64e78b

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/303/usersdata/303/80291/submittedfiles/testes.py

f8fdf8b73bca451bb6d4e647f3f675e329669678

[]

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

209

py

# -*- coding: utf-8 -*- n= int(input('Digite um numero:')) if n%3==0 and n%7==0: print(' O numero é divisivel por 3 e por 7') else: print(' o numero nao é divisivel por 3 e por 7')

[ "[email protected]" ]

[email protected]

9885653186d1619aaa626651335b51322f938b13

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02754/s775628525.py

c08aa17fa27593932f995ed4aa58535828193f96

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

222

py

if __name__ == '__main__': n,a,b = map(int,input().split()) tmp1 = (n // (a + b)) * a if tmp1 == 0: tmp2 = min(n,a) else: tmp2 = n % (a + b) tmp2 = min(a,tmp2) print(tmp1+tmp2)

[ "[email protected]" ]

[email protected]

94607147cb6a428256583d99cca352c265328f80

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02595/s086135640.py

10579db5c1e5ef2a5300d80b183a84bc3668641d

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

false

149

py

n,d = map(int,input().split()) cnt = 0 md = d**2 for _ in range(n): a,b = map(int,input().split()) if md >= (a**2+b**2): cnt += 1 print(cnt)

[ "[email protected]" ]

[email protected]

183f7b8c55dcea8984a0f890ca6d83b8360ce420

993ef8924418866f932396a58e3ad0c2a940ddd3

/Production/python/Summer20UL17/TTGamma_Hadronic_TuneCP5_13TeV-madgraph-pythia8_cff.py

19be89904fdebd86931dd97d867f4863815778f5

[]

no_license

TreeMaker/TreeMaker

48d81f6c95a17828dbb599d29c15137cd6ef009a

15dd7fe9e9e6f97d9e52614c900c27d200a6c45f

refs/heads/Run2_UL

2023-07-07T15:04:56.672709

2023-07-03T16:43:17

29,192,343

16

92

null

2023-07-03T16:43:28

2015-01-13T13:59:30

Python

UTF-8

Python

false

27,922

py

import FWCore.ParameterSet.Config as cms maxEvents = cms.untracked.PSet( input = cms.untracked.int32(-1) ) readFiles = cms.untracked.vstring() secFiles = cms.untracked.vstring() source = cms.Source ("PoolSource",fileNames = readFiles, secondaryFileNames = secFiles) readFiles.extend( [ '/store/mc/RunIISummer20UL17MiniAODv2/TTGamma_Hadronic_TuneCP5_13TeV-madgraph-pythia8/MINIAODSIM/106X_mc2017_realistic_v9-v1/270000/0130ADED-8944-C644-A802-94AFC869D180.root', '/store/mc/RunIISummer20UL17MiniAODv2/TTGamma_Hadronic_TuneCP5_13TeV-madgraph-pythia8/MINIAODSIM/106X_mc2017_realistic_v9-v1/270000/02A675E2-0B98-1E47-BEF2-87AE267B3872.root', '/store/mc/RunIISummer20UL17MiniAODv2/TTGamma_Hadronic_TuneCP5_13TeV-madgraph-pythia8/MINIAODSIM/106X_mc2017_realistic_v9-v1/270000/05947A84-468D-0A4B-824F-F909985C25A2.root', '/store/mc/RunIISummer20UL17MiniAODv2/TTGamma_Hadronic_TuneCP5_13TeV-madgraph-pythia8/MINIAODSIM/106X_mc2017_realistic_v9-v1/270000/0EB832E6-CFDA-1F4F-831E-80EF025519F4.root', 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import pandas as pd import os def abreFile(): oldAddres = 'C:/Users/beuo/Documents/Demandas/AtualizaMiddleIntegrationVtex/files/' newFile = 'C:/Users/beuo/Documents/Demandas/AtualizaMiddleIntegrationVtex/files/extract.xlsx' def encontraArquivosEmPastaRecursivamente(pasta, extensao): arquivosTxt = [] caminhoAbsoluto = os.path.abspath(pasta) for pastaAtual, subPastas, arquivos in os.walk(caminhoAbsoluto): arquivosTxt.extend([os.path.join(pastaAtual,arquivo) for arquivo in arquivos if arquivo.endswith('.xls')]) return arquivosTxt old = encontraArquivosEmPastaRecursivamente(oldAddres, '.xls') print(old[0]) os.rename(old[0],newFile) # wb = pd.ExcelFile('./file/extract.xlsx') # df = pd.read_excel(wb) # print(df.head()) abreFile()

[ "[email protected]" ]

[email protected]

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# -*- coding: utf-8 -*- from __future__ import unicode_literals from functools import wraps from six import text_type __all__ = ("message_handler", ) def message_handler(names_or_func=None): """自定义回复业务需加装该装饰器被装饰的自定义业务接收一个``wechat_django.models.WeChatMessageInfo``对象并且返回一个``wechatpy.replies.BaseReply``对象 :param names_or_func: 允许使用该message_handler的appname 不填所有均允许 :type names_or_func: str or list or tuple or callable @message_handler def custom_business(message): user = message.user # ... return TextReply("hello", message=message.message) @message_handler(("app_a", "app_b")) def app_ab_only_business(message): # ... """ def decorator(view_func): @wraps(view_func) def decorated_view(message): return view_func(message) decorated_view.message_handler = names or True return decorated_view if isinstance(names_or_func, text_type): names = [names_or_func] elif callable(names_or_func): names = None return decorator(names_or_func) return decorator

[ "[email protected]" ]

[email protected]

db8cdad93128a19ba84640c54d3a3bcf21458506

dc798f062b15e6ad060a5cfb731db5f286e2088b

/lesson7/task4/tests.py

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[]

no_license

DmitryTsybulkin/stepik-python

dce78c4fe616fe3f5bd26e0dad9c80bc5c5c4ab2

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refs/heads/master

2020-04-27T22:28:33.695541

2019-09-13T14:03:28

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from test_helper import check_samples if __name__ == '__main__': check_samples(samples=[["480\n1\n2","9\n2"],["475\n1\n55","9\n50"]])

[ "[email protected]" ]

[email protected]

68cdea4e70011e9f6aed99dc512556fe7e0e6826

b81668a2cc43654cf6a3ed952d781310876838f9

/venv/Lib/site-packages/thinc/backends/ops.py

838ae8c0ffa67b6b448fc765e4e95f30422fb0bd

[]

no_license

gowthamr1999/docbot-1

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3119958d68e95673b4c9187d58d8cad5c18a6b2c

refs/heads/master

2023-04-07T02:16:55.574750

2021-04-16T02:52:38

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from typing import Optional, List, Tuple, Sequence, Union, cast, TypeVar from typing import Iterator, overload import numpy import itertools from ..types import Xp, Shape, DTypes, DTypesInt, DTypesFloat, List2d, ArrayXd from ..types import Array2d, Array3d, Floats1d, Floats2d, Floats3d, Floats4d from ..types import FloatsXd, Ints1d, Ints2d, Ints3d, Ints4d, IntsXd, _Floats from ..types import DeviceTypes, Generator, Padded, Batchable, SizedGenerator from ..util import get_array_module, is_xp_array, to_numpy ArrayT = TypeVar("ArrayT", bound=ArrayXd) FloatsT = TypeVar("FloatsT", bound=_Floats) class Ops: name: str = "base" xp: Xp = numpy def __init__( self, device_type: DeviceTypes = "cpu", device_id: int = -1, **kwargs ) -> None: self.device_type = device_type self.device_id = device_id def to_numpy(self, data): # pragma: no cover if isinstance(data, numpy.ndarray): return data else: raise ValueError("Cannot convert non-numpy from base Ops class") def minibatch( self, size: Union[int, Generator], sequence: Batchable, *, shuffle: bool = False, buffer: int = 1, ) -> SizedGenerator: """Iterate slices from a sequence, optionally shuffled. Slices may be either views or copies of the underlying data. The `size` argument may be either an integer, or a sequence of integers. If a sequence, a new size is drawn before every output. If shuffle is True, shuffled batches are produced by first generating an index array, shuffling it, and then using it to slice into the sequence. An internal queue of `buffer` items is accumulated before being each output. Buffering is useful for some devices, to allow the network to run asynchronously without blocking on every batch. """ if not hasattr(sequence, "__len__"): err = f"Can't minibatch data. Expected sequence, got {type(sequence)}" raise ValueError(err) sizes = self._get_batch_sizes( len(sequence), itertools.repeat(size) if isinstance(size, int) else size ) indices = numpy.arange(len(sequence)) # This is a bit convoluted, but it's a time where convenience makes # trickery worthwhile: instead of being an actual generator, we # return our SizedGenerator object, which provides a __len__. def _iter_items(): if shuffle: numpy.random.shuffle(indices) queue = [] i = 0 for size in sizes: queue.append(self._get_batch(sequence, indices[i : i + size])) if len(queue) >= buffer: yield from queue queue = [] i += size yield from queue return SizedGenerator(_iter_items, len(sizes)) def multibatch( self, size: Union[int, Generator], sequence: Batchable, *others: Batchable, shuffle: bool = False, buffer: int = 1, ) -> SizedGenerator: """Minibatch one or more sequences of data, and yield lists with one batch per sequence. See ops.minibatch. """ # You'd think we could just do this by calling into minibatch and zip... # But the shuffling makes it really hard. sequences = (sequence,) + tuple(others) if not all(hasattr(seq, "__len__") for seq in sequences): values = ", ".join([f"{type(seq)}" for seq in sequences]) err = f"Can't multibatch data. Expected sequences, got {values}" raise ValueError(err) sizes = self._get_batch_sizes( len(sequence), itertools.repeat(size) if isinstance(size, int) else size ) indices = numpy.arange(len(sequence)) def _iter_items(): if shuffle: numpy.random.shuffle(indices) queue = [] i = 0 for size in sizes: idx_batch = indices[i : i + size] queue.append([]) for sequence in sequences: queue[-1].append(self._get_batch(sequence, idx_batch)) if len(queue) >= buffer: yield from queue queue = [] i += size yield from queue return SizedGenerator(_iter_items, len(sizes)) def _get_batch(self, sequence, indices): if isinstance(sequence, list): subseq = [sequence[i] for i in indices] elif isinstance(sequence, tuple): subseq = tuple(sequence[i] for i in indices) # type: ignore else: subseq = sequence[indices] # type: ignore if is_xp_array(subseq): subseq = self.as_contig( cast(ArrayXd, self.xp.asarray(subseq)) ) # type: ignore return subseq def _get_batch_sizes(self, length: int, sizes: Iterator[int]): output = [] i = 0 while i < length: output.append(next(sizes)) i += output[-1] return output def seq2col(self, seq: Floats2d, nW: int) -> Floats2d: """Given an (M, N) sequence of vectors, return an (M, N*(nW*2+1)) sequence. The new sequence is constructed by concatenating nW preceding and succeeding vectors onto each column in the sequence, to extract a window of features. """ # This is a test implementation that only supports nW=1 assert nW == 1 B = seq.shape[0] I = seq.shape[1] cols = self.alloc3f(B, (nW * 2 + 1), I) # Copy left contexts. The last words aren't the left-context for anything. cols[nW:, :nW] = self.reshape3f(seq[:-nW], -1, nW, I) cols[:, nW] = seq cols[:-nW, nW + 1 :] = self.reshape3f(seq[nW:], -1, nW, I) return self.reshape2f(cols, B, I * (2 * nW + 1)) def backprop_seq2col(self, dY: Floats2d, nW: int) -> Floats2d: """The reverse/backward operation of the `seq2col` function: calculate the gradient of the original `(M, N)` sequence, as a function of the gradient of the output `(M, N*(nW*2+1))` sequence. """ # This is a test implementation that only supports nW=1 assert nW == 1 nF = nW * 2 + 1 B = dY.shape[0] I = dY.shape[1] // nF # Having trouble getting the kernel to work... dX = self.alloc2f(B, I) dY3d = self.reshape3f(dY, B, nF, I) dX[:-nW] += self.reshape2f(dY3d[nW:, :nW], -1, I) dX += dY3d[:, nW] dX[nW:] += self.reshape2f(dY3d[:-nW, nW + 1 :], -1, I) return dX def gemm( self, x: Floats2d, y: Floats2d, out: Optional[Floats2d] = None, trans1: bool = False, trans2: bool = False, ) -> Floats2d: """Perform General Matrix Multiplication (GeMM) and optionally store the result in the specified output variable. """ if trans1: x = x.T if trans2: y = y.T if out is None: return self.xp.dot(x, y) else: self.xp.dot(x, y, out=out) return out def affine(self, X: Floats2d, W: Floats2d, b: Floats1d) -> Floats2d: """Apply a weights layer and a bias to some inputs, i.e. Y = X @ W.T + b """ Y = self.gemm(X, W, trans2=True) Y += b return Y def flatten( self, X: Sequence[ArrayT], dtype: Optional[DTypes] = None, pad: int = 0, ndim_if_empty: int = 2, ) -> ArrayT: """Flatten a list of arrays into one large array.""" if X is None or len(X) == 0: return self.alloc((0,) * ndim_if_empty, dtype=dtype or "f") xp = get_array_module(X[0]) X = [x for x in X if x.size != 0] if int(pad) >= 1: padded = [] for x in X: padded.append(xp.zeros((pad,) + x.shape[1:], dtype=x.dtype)) padded.append(x) padded.append(xp.zeros((pad,) + x.shape[1:], dtype=x.dtype)) X = padded result = xp.concatenate(X) if dtype is not None: result = xp.asarray(result, dtype=dtype) return result def unflatten(self, X: Floats2d, lengths: Ints1d, pad: int = 0) -> List[Floats2d]: """The reverse/backward operation of the `flatten` function: unflatten a large array into a list of arrays according to the given lengths. """ unflat = [] pad = int(pad) for length in lengths: length = int(length) if pad >= 1 and length != 0: X = X[pad:] unflat.append(X[:length]) X = X[length:] if pad >= 1: X = X[pad:] assert len(X) == 0 assert len(unflat) == len(lengths) return unflat @overload def pad(self, seqs: List[Ints2d], round_to=1) -> Ints3d: ... @overload # noqa: F811 def pad(self, seqs: List[Floats2d], round_to=1) -> Floats3d: ... def pad( # noqa: F811 self, seqs: Union[List[Ints2d], List[Floats2d]], round_to=1 ) -> Array3d: """Perform padding on a list of arrays so that they each have the same length, by taking the maximum dimension across each axis. This only works on non-empty sequences with the same `ndim` and `dtype`. """ # TODO: This should be generalized to handle different ranks if not seqs: raise ValueError("Cannot pad empty sequence") if len(set(seq.ndim for seq in seqs)) != 1: raise ValueError("Cannot pad sequences with different ndims") if len(set(seq.dtype for seq in seqs)) != 1: raise ValueError("Cannot pad sequences with different dtypes") if len(set(seq.shape[1:] for seq in seqs)) != 1: raise ValueError("Cannot pad sequences that differ on other dimensions") # Find the maximum dimension along each axis. That's what we'll pad to. length = max(len(seq) for seq in seqs) # Round the length to nearest bucket -- helps on GPU, to make similar # array sizes. length = (length + (round_to - 1)) // round_to * round_to final_shape = (len(seqs), length) + seqs[0].shape[1:] output: Array3d = self.alloc(final_shape, dtype=seqs[0].dtype) for i, arr in enumerate(seqs): # It's difficult to convince this that the dtypes will match. output[i, : arr.shape[0]] = arr # type: ignore return output def unpad(self, padded: Array3d, lengths: List[int]) -> List2d: """The reverse/backward operation of the `pad` function: transform an array back into a list of arrays, each with their original length. """ output = [] for i, length in enumerate(lengths): output.append(padded[i, :length]) return cast(List2d, output) def list2padded(self, seqs: List[Floats2d]) -> Padded: """Pack a sequence of 2d arrays into a Padded datatype.""" if not seqs: return Padded( self.alloc3f(0, 0, 0), self.alloc1i(0), self.alloc1i(0), self.alloc1i(0) ) elif len(seqs) == 1: data = self.reshape3f(seqs[0], seqs[0].shape[0], 1, seqs[0].shape[1]) size_at_t = self.asarray1i([1] * data.shape[0]) lengths = self.asarray1i([data.shape[0]]) indices = self.asarray1i([0]) return Padded(data, size_at_t, lengths, indices) lengths_indices = [(len(seq), i) for i, seq in enumerate(seqs)] lengths_indices.sort(reverse=True) indices_ = [i for length, i in lengths_indices] lengths_ = [length for length, i in lengths_indices] nS = max([len(seq) for seq in seqs]) # Reorder the sequences, by length. This looks the same in either # direction: you're swapping elements between their original and sorted # position. seqs = [seqs[x] for x in indices_] arr: Floats3d = self.pad(seqs) arr = self.as_contig(arr.transpose((1, 0, 2))) # Build a lookup table so we can find how big the batch is at point t. batch_size_at_t_ = self.alloc1i(nS) batch_size_at_t_ += 1 i = len(lengths_) for t in range(nS): if t == lengths_[i - 1]: i -= 1 if i == 0: break batch_size_at_t_[t] = i return Padded( cast(Floats3d, arr), self.asarray1i(batch_size_at_t_), self.asarray1i(lengths_), self.asarray1i(indices_), ) def padded2list(self, padded: Padded) -> List2d: """Unpack a Padded datatype to a list of 2-dimensional arrays.""" data = padded.data indices = to_numpy(padded.indices) lengths = to_numpy(padded.lengths) unpadded: List[Optional[Floats2d]] = [None] * len(lengths) data = self.as_contig(data.transpose((1, 0, 2))) for i in range(data.shape[0]): unpadded[indices[i]] = data[i, : int(lengths[i])] return cast(List2d, unpadded) def get_dropout_mask(self, shape: Shape, drop: Optional[float]) -> FloatsXd: """Create a random mask for applying dropout, with a certain percent of the mask (defined by `drop`) will contain zeros. The neurons at those positions will be deactivated during training, resulting in a more robust network and less overfitting. """ if drop is None or drop <= 0: return self.xp.ones(shape, dtype="f") elif drop >= 1.0: return self.alloc(shape) coinflips = self.xp.random.uniform(0.0, 1.0, shape) mask = (coinflips >= drop) / (1.0 - drop) return cast(FloatsXd, self.asarray(mask, dtype="float32")) def alloc1f(self, d0: int, *, dtype: Optional[DTypesFloat] = "float32") -> Floats1d: return self.alloc((d0,), dtype=dtype) def alloc2f( self, d0: int, d1: int, *, dtype: Optional[DTypesFloat] = "float32" ) -> Floats2d: return self.alloc((d0, d1), dtype=dtype) def alloc3f( self, d0: int, d1: int, d2: int, *, dtype: Optional[DTypesFloat] = "float32" ) -> Floats3d: return self.alloc((d0, d1, d2), dtype=dtype) def alloc4f( self, d0: int, d1: int, d2: int, d3: int, *, dtype: Optional[DTypesFloat] = "float32", ) -> Floats4d: return self.alloc((d0, d1, d2, d3), dtype=dtype) def alloc_f( self, shape: Shape, *, dtype: Optional[DTypesFloat] = "float32" ) -> FloatsXd: return self.alloc(shape, dtype=dtype) def alloc1i(self, d0: int, *, dtype: Optional[DTypesInt] = "int32") -> Ints1d: return self.alloc((d0,), dtype=dtype) def alloc2i( self, d0: int, d1: int, *, dtype: Optional[DTypesInt] = "int32" ) -> Ints2d: return self.alloc((d0, d1), dtype=dtype) def alloc3i( self, d0: int, d1: int, d2: int, *, dtype: Optional[DTypesInt] = "int32" ) -> Ints3d: return self.alloc((d0, d1, d2), dtype=dtype) def alloc4i( self, d0: int, d1: int, d2: int, d3: int, *, dtype: Optional[DTypesInt] = "int32", ) -> Ints4d: return self.alloc((d0, d1, d2, d3), dtype=dtype) def alloc_i(self, shape: Shape, *, dtype: Optional[DTypesInt] = "int32") -> IntsXd: return self.alloc(shape, dtype=dtype) def alloc(self, shape: Shape, *, dtype: Optional[DTypes] = "float32") -> ArrayT: """Allocate an array of a certain shape.""" if isinstance(shape, int): shape = (shape,) return self.xp.zeros(shape, dtype=dtype) def reshape1f(self, array: FloatsXd, d0: int) -> Floats1d: return cast(Floats1d, self.reshape(array, (d0,))) def reshape2f(self, array: FloatsXd, d0: int, d1: int) -> Floats2d: return cast(Floats2d, self.reshape(array, (d0, d1))) def reshape3f(self, array: FloatsXd, d0: int, d1: int, d2: int) -> Floats3d: return cast(Floats3d, self.reshape(array, (d0, d1, d2))) def reshape4f( self, array: FloatsXd, d0: int, d1: int, d2: int, d3: int ) -> Floats4d: return cast(Floats4d, self.reshape(array, (d0, d1, d2, d3))) def reshape_f(self, array: FloatsXd, shape: Shape) -> FloatsXd: return self.reshape(array, shape) def reshape1i(self, array: IntsXd, d0: int) -> Ints1d: return cast(Ints1d, self.reshape(array, (d0,))) def reshape2i(self, array: IntsXd, d0: int, d1: int) -> Ints2d: return cast(Ints2d, self.reshape(array, (d0, d1))) def reshape3i(self, array: IntsXd, d0: int, d1: int, d2: int) -> Ints3d: return cast(Ints3d, self.reshape(array, (d0, d1, d2))) def reshape4i(self, array: IntsXd, d0: int, d1: int, d2: int, d3: int) -> Ints4d: return cast(Ints4d, self.reshape(array, (d0, d1, d2, d3))) def reshape_i(self, array: IntsXd, shape: Shape) -> IntsXd: return self.reshape(array, shape) def reshape(self, array: ArrayT, shape: Shape) -> ArrayT: """Reshape an array.""" if isinstance(shape, int): shape = (shape,) return cast(ArrayT, array.reshape(shape)) def asarray4f( self, data: Union[Floats4d, Sequence[int]], *, dtype: Optional[DTypes] = "float32", ) -> Floats4d: return cast(Floats4d, self.asarray(data, dtype=dtype)) def asarray3f( self, data: Union[Floats3d, Sequence[int]], *, dtype: Optional[DTypes] = "float32", ) -> Floats3d: return cast(Floats3d, self.asarray(data, dtype=dtype)) def asarray2f( self, data: Union[Floats2d, Sequence[int]], *, dtype: Optional[DTypes] = "float32", ) -> Floats2d: return cast(Floats2d, self.asarray(data, dtype=dtype)) def asarray1f( self, data: Union[Floats1d, Sequence[int]], *, dtype: Optional[DTypes] = "float32", ) -> Floats1d: return cast(Floats1d, self.asarray(data, dtype=dtype)) def asarray_f( self, data: Union[FloatsXd, Sequence[float]], *, dtype: Optional[DTypes] = "float32", ) -> FloatsXd: return cast(FloatsXd, self.asarray(data, dtype=dtype)) def asarray1i( self, data: Union[Ints1d, Sequence[int]], *, dtype: Optional[DTypes] = "int32" ) -> Ints1d: return cast(Ints1d, self.asarray(data, dtype=dtype)) def asarray2i( self, data: Union[Ints2d, Sequence[int]], *, dtype: Optional[DTypes] = "int32" ) -> Ints2d: return cast(Ints2d, self.asarray(data, dtype=dtype)) def asarray3i( self, data: Union[Ints3d, Sequence[int]], *, dtype: Optional[DTypes] = "int32" ) -> Ints3d: return cast(Ints3d, self.asarray(data, dtype=dtype)) def asarray4i( self, data: Union[Ints4d, Sequence[int]], *, dtype: Optional[DTypes] = "int32" ) -> Ints4d: return cast(Ints4d, self.asarray(data, dtype=dtype)) def asarray_i( self, data: Union[IntsXd, Sequence[int]], *, dtype: Optional[DTypes] = "int32" ) -> IntsXd: return cast(IntsXd, self.asarray(data, dtype=dtype)) def asarray( self, data: Union[ArrayXd, Sequence[ArrayXd], Sequence[float], Sequence[int]], *, dtype: Optional[DTypes] = None, ) -> ArrayXd: """Ensure a given array is of the correct type.""" if isinstance(data, self.xp.ndarray): if dtype is not None: return self.xp.asarray(data, dtype=dtype) else: return self.xp.asarray(data) elif hasattr(data, "numpy"): # Handles PyTorch Tensor return data.numpy() # type: ignore elif dtype is not None: return self.xp.array(data, dtype=dtype) else: return self.xp.array(data) def as_contig(self, data: ArrayT, dtype: Optional[DTypes] = None) -> ArrayT: """Allow the backend to make a contiguous copy of an array. Implementations of `Ops` do not have to make a copy or make it contiguous if that would not improve efficiency for the execution engine. """ kwargs = {"dtype": dtype} if dtype is not None else {} return self.xp.ascontiguousarray(data, **kwargs) def sigmoid(self, X: FloatsT, *, inplace: bool = False) -> FloatsT: if inplace: self.xp.exp(-X, out=X) X += 1.0 X **= -1.0 return X else: return 1.0 / (1.0 + self.xp.exp(-X)) def dsigmoid(self, Y: FloatsT, *, inplace: bool = False) -> FloatsT: if inplace: Y *= 1 - Y return Y else: return Y * (1.0 - Y) def dtanh(self, Y: FloatsT, *, inplace: bool = False) -> FloatsT: if inplace: Y **= 2 Y *= -1.0 Y += 1.0 return Y else: return 1 - Y ** 2 def softmax(self, x: FloatsT, *, inplace: bool = False, axis: int = -1) -> FloatsT: maxes = self.xp.max(x, axis=axis, keepdims=True) shifted = x - maxes new_x = self.xp.exp(shifted) new_x /= new_x.sum(axis=axis, keepdims=True) return new_x def softmax_sequences( self, Xs: Floats2d, lengths: Ints1d, *, inplace: bool = False, axis: int = -1 ) -> Floats2d: if Xs.ndim >= 3: err = f"Softmax currently only supports 2d. Got: {Xs.ndim}" raise NotImplementedError(err) # This loses almost no fidelity, and helps the numerical stability. Xs = self.xp.clip(Xs, -20.0, 20.0) new_x = self.xp.exp(Xs) summed = self.backprop_reduce_sum(self.reduce_sum(new_x, lengths), lengths) new_x /= summed return new_x def backprop_softmax(self, Y: FloatsT, dY: FloatsT, *, axis: int = -1) -> FloatsT: dX = Y * dY dX -= Y * dX.sum(axis=axis, keepdims=True) return dX def backprop_softmax_sequences( self, dY: Floats2d, Y: Floats2d, lengths: Ints1d ) -> Floats2d: dX = Y * dY sum_dX = self.backprop_reduce_sum(self.reduce_sum(dX, lengths), lengths) dX -= Y * sum_dX return dX def recurrent_lstm( self, W: Floats2d, b: Floats1d, h_init: Floats1d, c_init: Floats1d, inputs: Floats3d, is_train: bool = True, ) -> Tuple[Floats3d, Tuple[Floats3d, Floats3d, Floats3d]]: Y, (G, C, S) = recurrent_lstm_forward(W, b, h_init, c_init, inputs) return Y, (G, C, S) def backprop_recurrent_lstm( self, dY: Floats3d, fwd_state: Tuple[Floats3d, Floats3d, Floats3d], params: Tuple[Floats2d, Floats1d], ) -> Tuple[Floats3d, Tuple[Floats2d, Floats1d, Floats1d, Floats1d]]: dCt = self.alloc2f(dY.shape[1], dY.shape[2]) empty_row = self.alloc3f(1, dY.shape[1], dY.shape[2]) # Offset dY by 1 dY = self.xp.vstack((empty_row, dY)) dW, db, dX, dY, dC0 = backprop_recurrent_lstm(dY, dCt, (fwd_state, params)) return dX, (dW, db, dY[0].sum(axis=0), dC0.sum(axis=0)) def maxout(self, X: Floats3d) -> Tuple[Floats2d, Ints2d]: which = X.argmax(axis=-1, keepdims=False) return X.max(axis=-1), which def backprop_maxout(self, dY: Floats2d, which: Ints2d, P: int) -> Floats3d: dX = self.alloc3f(dY.shape[0], dY.shape[1], P) for b in range(dY.shape[0]): for o in range(dY.shape[1]): dX[b, o, which[b, o]] = dY[b, o] return dX def relu(self, X: Floats2d, inplace: bool = False) -> Floats2d: if not inplace: return X * (X > 0) else: X *= X > 0 return X def backprop_relu( self, dY: Floats2d, Y: Floats2d, inplace: bool = False ) -> Floats2d: if not inplace: return dY * (Y > 0) dY *= Y > 0 return dY def mish(self, X: Floats2d, threshold: float = 20.0) -> Floats2d: Y = self.alloc2f(*X.shape, dtype=X.dtype) tmp = X * self.xp.tanh(self.xp.log(1.0 + self.xp.exp(X))) for i in range(X.shape[0]): for j in range(X.shape[1]): if X[i, j] >= threshold: Y[i, j] = X[i, j] else: Y[i, j] = tmp[i, j] return Y def backprop_mish( self, dY: Floats2d, X: Floats2d, threshold: float = 20.0, out: Optional[Floats2d] = None, ) -> Floats2d: xp = get_array_module(X) indices = X < threshold Xsub = X[indices] dYsub = dY[indices] omega = 4.0 * (Xsub + 1.0) omega += 4.0 * xp.exp(2.0 * Xsub) omega += xp.exp(Xsub) * ((4.0 * Xsub) + 6.0) delta = 2.0 * xp.exp(Xsub) delta += xp.exp(2.0 * Xsub) delta += 2.0 dXsub = dYsub * ((xp.exp(Xsub) * omega) / (delta ** 2)) if out is None: out = xp.zeros(dY.shape, dtype="f") # Gradient when above threshold will ignore softplus. out[:] = dY + dY * self.dtanh(X) out[indices] = dXsub return out def update_averages( self, ema: FloatsT, weights: FloatsT, t: int, max_decay: float = 0.9999 ) -> None: # Internals for optimizer decay = (1.0 + t) / (10.0 + t) if decay > max_decay: decay = max_decay ema -= (1 - decay) * (ema - weights) def adam( self, weights: Floats1d, gradient: Floats1d, mom1: Floats1d, mom2: Floats1d, beta1: float, beta2: float, eps: float, learn_rate: float, mod_rate: float = 1.0, ) -> Tuple[Floats1d, Floats1d, Floats1d, Floats1d]: # Internals for optimizer mom1 *= beta1 mom2 *= beta2 mom1 += gradient * (1.0 - beta1) mom2 += gradient * gradient * (1.0 - beta2) # Here we assume learn rate is calculated by the caller. # cdef weight_t a_t = learn_rate * sqrt(1-beta2**hp.t) / (1-beta1**hp.t); weights -= learn_rate * (mom1 / (mod_rate * self.xp.sqrt(mom2) + eps)) return weights, gradient, mom1, mom2 def clip_gradient(self, gradient: FloatsT, threshold: float) -> FloatsT: # Internals for optimizer xp = get_array_module(gradient) grad_norm = xp.linalg.norm(gradient) if grad_norm >= threshold: gradient *= threshold / grad_norm return gradient def logloss(self, y_true: FloatsT, y_pred: FloatsT) -> float: # Currently not used log_yp = self.xp.log(y_pred + 1e-8) loss = (y_true * log_yp) + (1 - y_true) * self.xp.log((1 - y_pred) + 1e-8) return -loss def reduce_sum(self, X: Floats2d, lengths: Ints1d) -> Floats2d: Y = self.alloc2f(lengths.shape[0], X.shape[1]) start = 0 for i, length in enumerate(lengths): Y[i] = X[start : start + length].sum(axis=0) start += length return Y def reduce_mean(self, X: Floats2d, lengths: Ints1d) -> Floats2d: Y = self.alloc2f(lengths.shape[0], X.shape[1]) start = 0 for i, length in enumerate(lengths): if length: Y[i] = X[start : start + length].mean(axis=0) start += length return Y def reduce_max(self, X: Floats2d, lengths: Ints1d) -> Tuple[Floats2d, Ints2d]: Y = self.alloc2f(lengths.shape[0], X.shape[1]) which = self.alloc2i(lengths.shape[0], X.shape[1]) start = 0 for i, length in enumerate(lengths): if length: which[i] = X[start : start + length].argmax(axis=0) Y[i] = X[start : start + length].max(axis=0) start += length return Y, which def backprop_reduce_sum(self, d_sums: Floats2d, lengths: Ints1d) -> Floats2d: dX = self.alloc2f(lengths.sum(), d_sums.shape[1]) start = 0 for i, length in enumerate(lengths): dX[start : start + length] = d_sums[i] start += length return dX def backprop_reduce_mean(self, d_means: Floats2d, lengths: Ints1d) -> Floats2d: dX = self.alloc2f(lengths.sum(), d_means.shape[1]) start = 0 for i, length in enumerate(lengths): dX[start : start + length] = d_means[i] / length start += length return dX def backprop_reduce_max( self, d_maxes: Floats2d, which: Ints2d, lengths: Ints1d ) -> Floats2d: dX = self.alloc2f(lengths.sum(), d_maxes.shape[1]) start = 0 for i, length in enumerate(lengths): dX[start : start + length, which[i]] = d_maxes[i] start += length return dX def hash(self, ids: Ints1d, seed: int) -> Ints2d: """Hash a sequence of 64-bit keys into a table with 4 32-bit keys, using murmurhash3. """ from .numpy_ops import NumpyOps numpy_ops = NumpyOps() return self.asarray2i( numpy_ops.hash(numpy_ops.asarray(ids, dtype="uint64"), seed) ) def ngrams(self, n: int, keys: Ints1d) -> Ints1d: from .numpy_ops import NumpyOps numpy_ops = NumpyOps() return self.asarray1i( numpy_ops.ngrams(n, numpy_ops.asarray(keys, dtype="uint64")) ) def position_encode( self, N: int, D: int, period: int = 10000, out: Optional[Floats2d] = None ) -> Floats2d: # Currently internals only from .numpy_ops import NumpyOps numpy_ops = NumpyOps() return self.asarray2f(numpy_ops.position_encode(N, D, period, out)) def scatter_add( self, table: FloatsXd, indices: IntsXd, values: FloatsXd ) -> FloatsXd: return self.xp.add.at(table, indices, values) def insert_into(self, shape, Xs): """Maybe don't need this? Just a quicky to get Jax working.""" output = self.alloc(shape, dtype=Xs[0].dtype) for i, x in enumerate(Xs): output[i, : x.shape[0]] = x return output # This code is intentionally almost-duplicate with the Jax one. It's kind # of hard to condition on jax vs not jax without messing up the jax JIT, # and we'll want to have a more specialised implementation for non-Jax # versions. But for now this has been tested and works, so we'll just leave # it as a reference implementation. """ LSTM Notation (kind of involved, but made it a lot easier to write) X: Inputs Y: Outputs (aka hiddens) C: Cells G: Gates (Output of non-linearity, i.e. lstm_gates(X @ W.T) A: Activations (X @ W.T, before non-linearity) Imagine we have the input: batch = [ ["apple", "banana", "cantaloupe", "date", "elderberry"], ["aardvark", "bat", "capybara", "dingo", "elephant"] ] The input variable X will have one vector per word, so X[0, 1] will be banana's vector, X[0, 1, 0] will be a float, the first element of that vector. We're computing an output variable Y of shape (nL, nB, nO), so that Y[0, 1] is the output variable of banana. A problem with variables for RNNs is keeping the timesteps straight. It's hard to distinguish the current, previous, and next timesteps. To solve this problem, we follow the convention that **we are at timestep 3**. Additionally, the variables for Y and C are offset by one, as the 0th elements have the initial hiddens and initial cells. So: t=3 Xt3: The input vectors for 'dingo' and 'date', i.e. X[t] Yt3: The output vectors for 'dingo' and 'date', i.e. Y[t+1] (Y is offset.) Ct2: The cells calculated at 'c...', that are the input for 'd...' Ct3: The cells calculated at 'd...', that are the input for 'e...' At3: The activations at 'd...' Gt3: The gates at 'd...' """ def recurrent_lstm_forward(W, b, c_init, h_init, X): xp = get_array_module(W) nL, nB, nI = X.shape nO = h_init.shape[0] # Preallocate these so we can pass them through for loop. Y = xp.zeros((nL + 1, nB, nO), dtype="f") G = xp.zeros((nL, nB, nO * 4), dtype="f") C = xp.zeros((nL + 1, nB, nO), dtype="f") # Set initial hidden and cell states. The Y and C will be shifted 1, # so that we can have fewer arrays. Y[0] = h_init C[0] = c_init state = ((W, b, X), (Y, C, G)) for i in range(X.shape[0]): state = lstm_stepper_forward(i, state) (W, b, X), (Y, C, G) = state # Recall that Y and C are both offset by 1. Y[1] is the output for # X[1], while Y[0] was used as an input for Y[1]. We use # the S values to backprop the weights, so we need X the previous Ys. S = xp.concatenate((X, Y[:-1]), axis=-1) return Y[1:], (G, C, S) def lstm_stepper_forward(t, state): (W, b, X), (Y, C, G) = state # Get the activations for this timestep. At3 = lstm_weights_forward(X[t], Y[t], W, b) # The offsets here are a bit unintuitive, because Y and C are 1-offset. Ct2 = C[t] Yt3, Ct3, Gt3 = lstm_gates_forward(At3, Ct2) Y[t + 1] = Yt3 C[t + 1] = Yt3 G[t] = Gt3 return (W, b, X), (Y, C, G) def backprop_recurrent_lstm(dY, dCt, fwd_vars): xp = get_array_module(dY) (G, C, S), (W, b) = fwd_vars nL = S.shape[0] nB = dY.shape[1] nI = S.shape[2] - dY.shape[2] # Preallocate these so we can pass them through for loop. dX = xp.zeros((nL, nB, nI), dtype="f") dW = xp.zeros(W.shape, dtype="f") db = xp.zeros(b.shape, dtype="f") state = ( (dW, db, dX), # The gradi-outs (Write-only) (dY, dCt), # The gradi-ins (Read and write) (G, C, S), # Forward state (Read-only) (W, b), # Params (Read-only) ) for t in range(nL - 1, -1, -1): state = backprop_lstm_stepper(t, state) (dW, db, dX), (dY, dCt), (G, C, S), (W, b) = state return dW, db, dX, dY, dCt def backprop_lstm_stepper(t, state): (dW, db, dX), (dY, dCt3), (G, C, S), (W, b) = state # Recall, we're at step 3, Y and C are offset by 1. See above. dYt3 = dY[t + 1] Ct3 = C[t + 1] St3 = S[t] Gt3 = G[t] Ct2 = C[t] dAt3, dCt2 = backprop_lstm_gates(dCt3, dYt3, Gt3, Ct3, Ct2) dXt3, dYt2, dW3, db3 = backprop_lstm_weights(dAt3, (St3, W, b)) dX[t] = dXt3 dY[t] = dYt2 return (dW + dW3, db + db3, dX), (dY, dCt2), (G, C, S), (W, b) def lstm_weights_forward(Xt3, Yt2, W, b): xp = get_array_module(Yt2) St3 = xp.concatenate((Xt3, Yt2), axis=-1) At3 = St3 @ W.T + b return At3 def backprop_lstm_weights(dAt3, fwd_state): St3, W, b = fwd_state dW = dAt3.T @ St3 db = dAt3.sum(axis=0) dSt3 = dAt3 @ W nO = W.shape[0] // 4 nI = St3.shape[1] - nO dXt3 = dSt3[:, :nI] dYt2 = dSt3[:, nI:] return dXt3, dYt2, dW, db def lstm_gates_forward(At3, Ct2): xp = get_array_module(At3) # hf, hi, ho, hc: Forget, input, output, cell gates. At3_hf, At3_hi, At3_ho, At3_hc = xp.split(At3, 4, axis=-1) # Number the steps here, to refer back for backward pass. # 1. Activations hf = sigmoid(At3_hf) # 1a hi = sigmoid(At3_hi) # 1b ho = sigmoid(At3_ho) # 1c hc = xp.tanh(At3_hc) # 1d Ct3 = hf * Ct2 # 2a Ct3 += hi * hc # 2b tanhCt3 = xp.tanh(Ct3) # 3a Yt3 = tanhCt3 * ho # 3b # We don't need the gradient for this, it's just for backprop calculation. Gt3 = xp.concatenate((hf, hi, ho, hc), axis=-1) return Yt3, Ct3, Gt3 def backprop_lstm_gates( dYt3: Array2d, dCt3: Array2d, Gt3: Array2d, Ct3: Array2d, Ct2: Array2d ) -> Tuple[Array3d, Array2d]: # See above for notation. Step numbering refers to forward_lstm_gates xp = get_array_module(dYt3) hf, hi, ho, hc = xp.split(Gt3, 4, axis=-1) tanhCt3 = xp.tanh(Ct3) # 3b: Yt3 = tanhCt3 * ho d_ho = dYt3 * tanhCt3 d_tanhCt3 = dYt3 * ho # 3a: tanhCt3 = tanh(Ct3) dCt3 += d_tanhCt3 * dtanh(tanhCt3) # 2b: Ct3 += hi * hc d_hi = dCt3 * hc d_hc = dCt3 * hi # 2a: Ct3 = hf * Ct2 d_hf = dCt3 * Ct2 dCt2 = dCt3 * hf d_At3_hc = d_hc * dtanh(hc) # 1d d_At3_ho = d_ho * dsigmoid(ho) # 1c d_At3_hi = d_hi * dsigmoid(hi) # 1b d_At3_hf = d_hf * dsigmoid(hf) # 1a dAt3 = xp.concatenate((d_At3_hf, d_At3_hi, d_At3_ho, d_At3_hc), axis=-1) return dAt3, dCt2 def sigmoid(X): xp = get_array_module(X) return 1.0 / (1.0 + xp.exp(-X)) def dsigmoid(Y: ArrayT) -> ArrayT: return Y * (1.0 - Y) def dtanh(Y: ArrayT) -> ArrayT: return 1 - Y ** 2

[ "[email protected]" ]

[email protected]

e07d63a1fbeffe6c57894e08f9d8cb4e1e015a6f

564d6a4d305a8ac6a7e01c761831fb2081c02d0f

/sdk/network/azure-mgmt-network/azure/mgmt/network/v2019_04_01/operations/_default_security_rules_operations.py

1845d2fdfbb4b739407b79adfc58bf53747e21ea

[ "LicenseRef-scancode-generic-cla", "LGPL-2.1-or-later", "MIT" ]

permissive

paultaiton/azure-sdk-for-python

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refs/heads/master

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2020-11-14T01:09:50

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0

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2020-07-28T22:43:43

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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 typing import TYPE_CHECKING import warnings from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error from azure.core.paging import ItemPaged from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import HttpRequest, HttpResponse from azure.mgmt.core.exceptions import ARMErrorFormat from .. import models if TYPE_CHECKING: # pylint: disable=unused-import,ungrouped-imports from typing import Any, Callable, Dict, Generic, Iterable, Optional, TypeVar T = TypeVar('T') ClsType = Optional[Callable[[PipelineResponse[HttpRequest, HttpResponse], T, Dict[str, Any]], Any]] class DefaultSecurityRulesOperations(object): """DefaultSecurityRulesOperations operations. You should not instantiate this class directly. Instead, you should create a Client instance that instantiates it for you and attaches it as an attribute. :ivar models: Alias to model classes used in this operation group. :type models: ~azure.mgmt.network.v2019_04_01.models :param client: Client for service requests. :param config: Configuration of service client. :param serializer: An object model serializer. :param deserializer: An object model deserializer. """ models = models def __init__(self, client, config, serializer, deserializer): self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config def list( self, resource_group_name, # type: str network_security_group_name, # type: str **kwargs # type: Any ): # type: (...) -> Iterable["models.SecurityRuleListResult"] """Gets all default security rules in a network security group. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param network_security_group_name: The name of the network security group. :type network_security_group_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either SecurityRuleListResult or the result of cls(response) :rtype: ~azure.core.paging.ItemPaged[~azure.mgmt.network.v2019_04_01.models.SecurityRuleListResult] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.SecurityRuleListResult"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2019-04-01" accept = "application/json" def prepare_request(next_link=None): # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') if not next_link: # Construct URL url = self.list.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'networkSecurityGroupName': self._serialize.url("network_security_group_name", network_security_group_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') request = self._client.get(url, query_parameters, header_parameters) else: url = next_link query_parameters = {} # type: Dict[str, Any] request = self._client.get(url, query_parameters, header_parameters) return request def extract_data(pipeline_response): deserialized = self._deserialize('SecurityRuleListResult', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, iter(list_of_elem) def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) return pipeline_response return ItemPaged( get_next, extract_data ) list.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/networkSecurityGroups/{networkSecurityGroupName}/defaultSecurityRules'} # type: ignore def get( self, resource_group_name, # type: str network_security_group_name, # type: str default_security_rule_name, # type: str **kwargs # type: Any ): # type: (...) -> "models.SecurityRule" """Get the specified default network security rule. :param resource_group_name: The name of the resource group. :type resource_group_name: str :param network_security_group_name: The name of the network security group. :type network_security_group_name: str :param default_security_rule_name: The name of the default security rule. :type default_security_rule_name: str :keyword callable cls: A custom type or function that will be passed the direct response :return: SecurityRule, or the result of cls(response) :rtype: ~azure.mgmt.network.v2019_04_01.models.SecurityRule :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.SecurityRule"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2019-04-01" accept = "application/json" # Construct URL url = self.get.metadata['url'] # type: ignore path_format_arguments = { 'resourceGroupName': self._serialize.url("resource_group_name", resource_group_name, 'str'), 'networkSecurityGroupName': self._serialize.url("network_security_group_name", network_security_group_name, 'str'), 'defaultSecurityRuleName': self._serialize.url("default_security_rule_name", default_security_rule_name, 'str'), 'subscriptionId': self._serialize.url("self._config.subscription_id", self._config.subscription_id, 'str'), } url = self._client.format_url(url, **path_format_arguments) # Construct parameters query_parameters = {} # type: Dict[str, Any] query_parameters['api-version'] = self._serialize.query("api_version", api_version, 'str') # Construct headers header_parameters = {} # type: Dict[str, Any] header_parameters['Accept'] = self._serialize.header("accept", accept, 'str') request = self._client.get(url, query_parameters, header_parameters) pipeline_response = self._client._pipeline.run(request, stream=False, **kwargs) response = pipeline_response.http_response if response.status_code not in [200]: map_error(status_code=response.status_code, response=response, error_map=error_map) raise HttpResponseError(response=response, error_format=ARMErrorFormat) deserialized = self._deserialize('SecurityRule', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/resourceGroups/{resourceGroupName}/providers/Microsoft.Network/networkSecurityGroups/{networkSecurityGroupName}/defaultSecurityRules/{defaultSecurityRuleName}'} # type: ignore

[ "[email protected]" ]

[email protected]

cc5efee86d9bd9204bbc9ff243e80878e33ea5a6

ae4be4a17468f89e06975a402cddd7dabf692ec9

/ABC/137/C/source.py

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[]

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naru380/AtCoder

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296d071d6a91ea7e061ee3923b5c26b0c7536119

refs/heads/master

2020-09-20T02:12:29.405393

2020-05-31T09:58:08

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import itertools from collections import Counter import math N = int(input()) def generate_prime_numbers(): search_range = 150 search_list = [True for i in range(0, search_range+1)] search_list[0] = False search_list[1] = False search_list[2] = True for i in range(2, search_range+1): for j in range(i*2, search_range+1, i): search_list[j] = False prime_numbers = [i for i in range(search_range+1) if search_list[i] == True] return prime_numbers[:27] def combination(n, r): return math.factorial(n) // math.factorial(r) // math.factorial(n-r) prime_numbers = generate_prime_numbers() encoded_strings = [] for i in range(N): S = input() encoded_string = 1 for c in S: char_to_int = ord(c) - ord('a') encoded_string *= prime_numbers[char_to_int] encoded_strings.append(encoded_string) # print(encoded_strings) ans = 0 # for comb in itertools.combinations(encoded_strings, 2): # if comb[0] == comb[1]: # ans += 1 counter = Counter(encoded_strings) for i in counter.values(): if i > 1: ans += combination(i, 2) print(ans)

[ "[email protected]" ]

[email protected]

3b30c93eabcd27038c83049c2ee79ddeb97f9bac

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/Leetcode/Python Solutions/Binary Search/FirstBadVersion.py

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Mostofa-Najmus-Sakib/Applied-Algorithm

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""" LeetCode Problem 278. First Bad Version Link: https://leetcode.com/problems/first-bad-version/ Written by: Mostofa Adib Shakib Language: Python Time Complexity: O(logn) Space complexity: O(1) """ # The isBadVersion API is already defined for you. # @param version, an integer # @return a bool # def isBadVersion(version): class Solution: def firstBadVersion(self, n): """ :type n: int :rtype: int """ first = 0 last = n while first <= last: mid = (first+last)//2 if isBadVersion(mid) == False: first = mid + 1 elif isBadVersion(mid) == True: if isBadVersion(mid-1) == True: last = mid - 1 else: return mid

[ "[email protected]" ]

[email protected]

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/display-stuff/neopixels/ColorSynthesis/Neopixel Color Synthesis/colorsynthesis1.py

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flashypepo/myMicropython-Examples

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# Micro/CircuitPython NeoPixel Color Synthesis Experiments pt. 1 import machine import time import math import neopixel NEOPIXEL_PIN = machine.Pin(15, machine.Pin.OUT) NEOPIXEL_COUNT = 8 * 4 #12 def seconds(): return time.ticks_ms()/1000 # MicroPython code for current seconds # Setup NeoPixels pixels = neopixel.NeoPixel(NEOPIXEL_PIN, NEOPIXEL_COUNT) def blank(): pixels.fill((0,0,0)) pixels.write() blank() ''' Example 2: amplitude = 128 frequency = 0.25 # Increase this to speed up, decrease to slow down the pulse. phase = 0 offset = 128 try: while True: red = int(amplitude*math.sin(2*math.pi*frequency*seconds()+phase)+\ offset) color = (red, 0, 0) pixels.fill(color) pixels.write() print("r={}\tg={}\tb={}".format(*color)) time.sleep(0.1) except: blank() print('done') #''' ################################################################################ # Example 3: # Refactor to a functional style. Create a sine wave function on the fly # so it's easy to add more animations (just make more sine wave functions). ################################################################################ def sine_wave(amplitude, frequency, phase, offset): return lambda t: amplitude*math.sin(2*math.pi*frequency*t+phase)+offset red_wave = sine_wave(128, 0.25, 0, 128) green_wave = sine_wave(128, 0.25, math.pi, 128) try: while True: current = seconds() red = int(red_wave(current)) green = int(green_wave(current)) color = (red, green, 0) pixels.fill(color) pixels.write() print("r={}\tg={}\tb={}".format(*color)) time.sleep(0.1) except: blank() print('done')

[ "[email protected]" ]

[email protected]

78544477f1980b8197bbeb6369a8c22371a2db77

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/easy/power-of-two/solution.py

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hsuanhauliu/leetcode-solutions

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class Solution: def isPowerOfTwo(self, n: int) -> bool: if n <= 0: return False while n != 1: # keep dividing if n % 2: return False n //= 2 return True

[ "[email protected]" ]

[email protected]

fa2426367d7e331041c267f0caa9af5a01f702f0

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/psutil_example/get_win_services.py

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gil9red/SimplePyScripts

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- __author__ = "ipetrash" # pip install psutil import psutil from psutil._pswindows import WindowsService def get_win_services() -> list[WindowsService]: return list(psutil.win_service_iter()) if __name__ == "__main__": win_service_list = get_win_services() print(f"Win service list ({len(win_service_list)}):") for service in win_service_list: title = f"{service.name()!r} ({service.display_name()})" path = ( f"Pid={service.pid()}, name={service.name()!r}, display_name={service.display_name()!r}, " f"status={service.status()!r}, start_type={service.start_type()!r}" ) print("Title:", title) print("Path:", path) print("Status:", service.status()) print("binpath:", service.binpath()) print()

[ "[email protected]" ]

[email protected]

5f34b64d875d3784f0e1740ec07bff206fac3a41

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/tensorflow/python/keras/engine/base_layer_utils.py

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obeshor/tensorflow

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# Copyright 2018 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Contains private utilities used mainly by the base Layer class.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import collections as collections_lib import threading import enum from tensorflow.python.distribute import distribution_strategy_context from tensorflow.python.eager import context from tensorflow.python.framework import auto_control_deps from tensorflow.python.framework import dtypes from tensorflow.python.framework import ops from tensorflow.python.keras import backend from tensorflow.python.keras.utils import tf_utils from tensorflow.python.ops import array_ops from tensorflow.python.ops import control_flow_util from tensorflow.python.ops import control_flow_util_v2 from tensorflow.python.ops import init_ops from tensorflow.python.ops import init_ops_v2 from tensorflow.python.ops import variables as tf_variables from tensorflow.python.util import nest from tensorflow.python.util import tf_contextlib _call_context = threading.local() class CallConvention(enum.Enum): """Calling conventions for passing `Layer` inputs to `Layer.call`.""" # The Layer takes inputs as its first argument, named "inputs" for # compatibility with the signature of Layer.__call__. This is the mode assumed # for Layers which are not subclassed Models. EXPLICIT_INPUTS_ARGUMENT = 1 # The Layer takes a single positional argument, not named "inputs". It's # treated like an "inputs" argument. SINGLE_POSITIONAL_ARGUMENT = 2 # The Layer has multiple positional arguments to which its inputs should be # bound. POSITIONAL_ARGUMENTS_ARE_INPUTS = 3 def create_mean_metric(value, name=None): # TODO(psv): Remove this import when b/110718070 is fixed. from tensorflow.python.keras import metrics as metrics_module # pylint: disable=g-import-not-at-top from tensorflow.python.keras.distribute import distributed_training_utils # pylint: disable=g-import-not-at-top metric_obj = metrics_module.Mean(name=name) return (metric_obj, distributed_training_utils.call_replica_local_fn(metric_obj, value)) def make_variable(name, shape=None, dtype=dtypes.float32, initializer=None, trainable=None, caching_device=None, validate_shape=True, constraint=None, use_resource=None, collections=None, synchronization=tf_variables.VariableSynchronization.AUTO, aggregation=tf_variables.VariableAggregation.NONE, partitioner=None): # pylint: disable=unused-argument """Temporary util to create a variable (relies on `variable_scope.variable`). Some reuse-related technicalities prevent us from using `variable_scope.get_variable()` directly, so we use a subcomponent that has fewer constraints (`variable_scope.variable()`). In the longer term, it seems like a similar "default variable creator" method should exist in `Trackable` instead. When this happens, we can get rid of this temporary solution. TODO(fchollet): remove this method when no longer needed. Arguments: name: Variable name. shape: Variable shape. dtype: The type of the variable. Defaults to `self.dtype` or `float32`. initializer: Initializer instance (callable). trainable: Whether the variable should be part of the layer's "trainable_variables" (e.g. variables, biases) or "non_trainable_variables" (e.g. BatchNorm mean, stddev). Note, if the current variable scope is marked as non-trainable then this parameter is ignored and any added variables are also marked as non-trainable. `trainable` defaults to `True` unless `synchronization` is set to `ON_READ`. caching_device: Passed to `tf.Variable`. validate_shape: Passed to `tf.Variable`. constraint: Constraint instance (callable). use_resource: Whether to use a `ResourceVariable`. collections: List of graph collections keys. The new variable is added to these collections. Defaults to `[GraphKeys.GLOBAL_VARIABLES]`. synchronization: Indicates when a distributed a variable will be aggregated. Accepted values are constants defined in the class `tf.VariableSynchronization`. By default the synchronization is set to `AUTO` and the current `DistributionStrategy` chooses when to synchronize. If `synchronization` is set to `ON_READ`, `trainable` must not be set to `True`. aggregation: Indicates how a distributed variable will be aggregated. Accepted values are constants defined in the class `tf.VariableAggregation`. partitioner: Not handled at this time. Returns: Variable instance. """ initializing_from_value = False if initializer is not None and not callable(initializer): initializing_from_value = True with ops.init_scope(): if initializing_from_value: init_val = initializer variable_dtype = None else: # Instantiate initializer if provided initializer is a type object. if isinstance( initializer, (type(init_ops.Initializer), type(init_ops_v2.Initializer))): initializer = initializer() init_val = lambda: initializer(shape, dtype=dtype) variable_dtype = dtype.base_dtype if use_resource is None: use_resource = True # TODO(apassos,rohanj) figure out how to remove collections from here so we # can remove the V1. v = tf_variables.VariableV1( initial_value=init_val, name=name, trainable=trainable, caching_device=caching_device, dtype=variable_dtype, validate_shape=validate_shape, constraint=constraint, use_resource=use_resource, collections=collections, synchronization=synchronization, aggregation=aggregation) return v def get_default_graph_uid_map(): # TODO(fchollet): refactor this into backend. graph = ops.get_default_graph() name_uid_map = backend.PER_GRAPH_LAYER_NAME_UIDS.get(graph, None) if name_uid_map is None: name_uid_map = collections_lib.defaultdict(int) backend.PER_GRAPH_LAYER_NAME_UIDS[graph] = name_uid_map return name_uid_map def unique_layer_name(name, name_uid_map=None, avoid_names=None, namespace='', zero_based=False): """Makes a layer name (or arbitrary string) unique within a TensorFlow graph. Arguments: name: String name to make unique. name_uid_map: An optional defaultdict(int) to use when creating unique names. If None (default), uses a per-Graph dictionary. avoid_names: An optional set or dict with names which should not be used. If None (default) does not avoid any names. namespace: Gets a name which is unique within the (graph, namespace). Layers which are not Networks use a blank namespace and so get graph-global names. zero_based: If True, name sequences start with no suffix (e.g. "dense", "dense_1"). If False, naming is one-based ("dense_1", "dense_2"). Returns: Unique string name. Example: ```python _unique_layer_name('dense') # dense_1 _unique_layer_name('dense') # dense_2 ``` """ if name_uid_map is None: name_uid_map = get_default_graph_uid_map() if avoid_names is None: avoid_names = set() proposed_name = None while proposed_name is None or proposed_name in avoid_names: name_key = (namespace, name) if zero_based: number = name_uid_map[name_key] if number: proposed_name = name + '_' + str(number) else: proposed_name = name name_uid_map[name_key] += 1 else: name_uid_map[name_key] += 1 proposed_name = name + '_' + str(name_uid_map[name_key]) return proposed_name def collect_previous_mask(input_tensors): """Retrieves the output mask(s) of the previous node. Arguments: input_tensors: An arbitrary structure of Tensors. Returns: A mask tensor or list of mask tensors. """ def _collect_previous_mask(x): return getattr(x, '_keras_mask', None) return nest.map_structure(_collect_previous_mask, input_tensors) def have_all_keras_metadata(tensors): return all(hasattr(x, '_keras_history') for x in nest.flatten(tensors)) def generate_placeholders_from_shape(shape): return array_ops.placeholder(shape=shape, dtype=backend.floatx()) def create_keras_history(tensors): """Wraps TensorFlow Operations for compatibility with the Functional API. This method checks to see if a Tensor in `tensors` is missing Keras metadata and has its origin in a Keras `Input` Layer. If so, this method will replace the raw TensorFlow Operations that created this tensor with `TensorFlowOpLayer` instances that create identical operations. Any Tensors not originating from a Keras `Input` Layer will be treated as constants when constructing `TensorFlowOpLayer` instances. Arguments: tensors: A structure of Tensors, some of which come from raw TensorFlow operations and need to have Keras metadata assigned to them. Returns: keras_tensors: The Tensors found that came from a Keras Layer. """ _, created_layers = _create_keras_history_helper(tensors, set(), []) return created_layers def _create_keras_history_helper(tensors, processed_ops, created_layers): """Helper method for `create_keras_history`. Arguments: tensors: A structure of Tensors for which to create Keras metadata. processed_ops: Set. TensorFlow operations that have already been wrapped in `TensorFlowOpLayer` instances. created_layers: List. The `TensorFlowOpLayer` instances created. Returns: Tuple. First element is the updated set of TensorFlow Operations that have been wrapped in `TensorFlowOpLayer` instances. Second element is a list of the `TensorFlowOpLayer` instances created. """ # Import of `base_layer` needed in order to create `TensorFlowOpLayer`. # Cannot be imported at top because of circular dependencies. # TODO(omalleyt): Resolve circular dependency. from tensorflow.python.keras.engine import base_layer # pylint: disable=g-import-not-at-top tensor_list = nest.flatten(tensors) for tensor in tensor_list: if getattr(tensor, '_keras_history', None) is not None: continue op = tensor.op # The Op that created this Tensor. if op not in processed_ops: # Recursively set `_keras_history`. op_inputs = list(op.inputs) constants = {} layer_inputs = [] for i, op_input in enumerate(op_inputs): if uses_keras_history(op_input): layer_inputs.append(op_input) else: # Treat any value not originating from a `keras.Input` as # a constant. Variables cannot be supported. if (distribution_strategy_context.in_cross_replica_context() and not ops.executing_eagerly_outside_functions()): # In Legacy Graph mode, evaluating here makes Session be # configured improperly. constants[i] = op_input else: constants[i] = backend.function([], op_input)([]) processed_ops, created_layers = _create_keras_history_helper( layer_inputs, processed_ops, created_layers) name = op.name node_def = op.node_def.SerializeToString() op_layer = base_layer.TensorFlowOpLayer( node_def, constants=constants, name=name) created_layers.append(op_layer) op_layer._add_inbound_node( # pylint: disable=protected-access layer_inputs, op.outputs) processed_ops.update([op]) return processed_ops, created_layers def needs_keras_history(tensors): """Check if any Tensors need to be wrapped in TensorFlowOpLayers. This will never return True inside a sublayer, because sublayers do not need to create Keras History. Otherwise, this returns True if one or more of `tensors` originates from a `keras.Input` and does not have `_keras_history` set. Arguments: tensors: An arbitrary nested structure of Tensors. Returns: Bool, whether at least one Tensor needs to be wrapped. """ input_tensors = nest.flatten(tensors) if is_in_call_context() or all( getattr(tensor, '_keras_history', None) is not None for tensor in input_tensors): # KerasHistory already set. return False return uses_keras_history(tensors) def is_in_call_context(): """Returns true if inside of a model/layer '__call__'.""" return getattr(_call_context, 'in_call', False) def is_in_frozen_context(): """Returns if currently executing inside a `call` of a frozen Layer. A Layer is considered frozen if `layer.trainable=False`. Returns: Whether currently inside the `call` of a frozen Layer. """ return getattr(_call_context, 'frozen', False) def uses_keras_history(tensors): """Check if at least one Tensor originates from a `keras.Input`. This is `True` if at least one Tensor has its origin in a `keras.Input`. Any Tensor that originates from a `keras.Input` will have a dependency Tensor with a `_keras_history` attribute attached. Tensors that have already been checked to not originate from a `keras.Input` are marked as `_keras_history_checked`. Arguments: tensors: An arbitrary nested structure of Tensors. Returns: Bool, whether at least one Tensor originates from a `keras.Input`. """ checked_tensors = set() tensors_to_check = nest.flatten(tensors) while tensors_to_check: new_tensors_to_check = set() for tensor in tensors_to_check: if getattr(tensor, '_keras_history_checked', None) is not None: continue if getattr(tensor, '_keras_history', None) is not None: return True try: new_tensors_to_check.update(tensor.op.inputs) except AttributeError: # In case `tensor` is a Variable created in an Eager context. pass checked_tensors.update(tensors_to_check) tensors_to_check = list(new_tensors_to_check - checked_tensors) # Mark that these Tensors have been checked once for `_keras_history`, # and should not be checked again for performance reasons. mark_checked(tensors) return False def mark_checked(tensors): """Marks that these Tensors should not be tracked. This prevents Layers from attempting to create TensorFlowOpLayers for these Tensors. Arguments: tensors: An arbitrary structure of Tensors. """ def _mark_checked(tensor): tensor._keras_history_checked = True # pylint: disable=protected-access nest.map_structure(_mark_checked, tensors) @tf_contextlib.contextmanager def call_context(layer): """Scope that marks when we are currently inside a Layer/Model's `call`.""" was_in_call = is_in_call_context() was_frozen = is_in_frozen_context() _call_context.in_call = True if not layer.trainable: _call_context.frozen = True try: yield finally: _call_context.in_call = was_in_call _call_context.frozen = was_frozen def training_arg_passed_to_call(argspec, args, kwargs): """Returns whether a user passed the `training` argument in `__call__`.""" # `argspec.args` starts with ['self', 'inputs'] full_args = dict(zip(argspec.args[2:], args)) full_args.update(kwargs) return 'training' in full_args class AutoAddUpdates(object): """Automatically track stateful ops with `add_update`. This context manager is used to automatically add stateful ops to a Layer or Model's `.updates`. This ensures that stateful ops are run in the Keras training loop. It also allows for these stateful ops to be disabled by setting `trainable=False`. Example: ``` with AutoAddUpdates(layer, inputs) as auto_updates: outputs = layer.call(inputs) auto_updates.set_outputs(outputs) ``` Attributes: layer: Layer or Model instance to add the updates to. inputs: The inputs to this Layer or Model, to be used for input-conditional updates. outputs: The outputs of this Layer or Model. """ def __init__(self, layer, inputs): self.layer = layer self.inputs = inputs self.outputs = [] def set_outputs(self, outputs): if self.outputs: raise RuntimeError('`set_outputs` should only be called once on an' '`AutoAddUpdates` instance.') self.outputs = outputs def __enter__(self): # Only run in V2 Function mode. if (context.executing_eagerly() or not ops.executing_eagerly_outside_functions()): return self self._graph = ops.get_default_graph() self._num_operations = len(self._graph.get_operations()) return self def __exit__(self, error_type, unused_value, unused_traceback): if error_type: # Allow errors that occurred inside this context manager to pass through # normally. return # Only run in V2 Function mode. if (context.executing_eagerly() or not ops.executing_eagerly_outside_functions()): return if (self._graph is not ops.get_default_graph() or self._graph.name != 'keras_graph'): # Only auto-track updates when the Keras Graph is the only one used. return new_operations = self._graph.get_operations()[self._num_operations:] new_stateful_ops = set() # pylint: disable=protected-access for op in new_operations: # While loop is not supported in general for automatic control # dependencies. if control_flow_util.IsInWhileLoop(op): continue # Track stateful ops via `add_update`. is_stateful_op = ( op.type not in self._graph._registered_ops or auto_control_deps.op_is_stateful( self._graph._registered_ops[op.type])) # Ignore ReadVariableOps as they are not needed to be run separately. # This ensures existing Layers don't get extra updates. if is_stateful_op and op.type != 'ReadVariableOp': new_stateful_ops.add(op) explicit_updates = set( [u for u in self.layer.updates if not isinstance(u, tuple)]) # pylint: enable=protected-access # Don't add updates that will already be run by virtue of being consumed by # other stateful ops or by the Layer's outputs. This ensures that existing # Layers like `BatchNormalization` continue to return the same values for # `.update` calls. minimum_ops = set() targets = new_stateful_ops.union( set(nest.flatten(self.outputs)), explicit_updates) for op in new_stateful_ops: # Scrub any ops that are consumed by the outputs or other stateful ops. reachable = tf_utils.get_reachable_from_inputs(op) if not (targets - {op}).intersection(reachable): minimum_ops.add(op) new_stateful_ops = minimum_ops # Don't double-track updates added via explicitly calling `add_update`. # Also don't double-track updates already tracked in sublayers. new_stateful_ops = new_stateful_ops - explicit_updates # Decide whether to track as input-conditional or unconditional. input_reachable_ops = tf_utils.get_reachable_from_inputs( self.inputs, targets=new_stateful_ops) unconditional_updates = new_stateful_ops - input_reachable_ops conditional_updates = new_stateful_ops - unconditional_updates if unconditional_updates: self.layer.add_update(list(unconditional_updates)) if conditional_updates: self.layer.add_update(list(conditional_updates), inputs=self.inputs) def _get_var_read_dtype(input_list, should_cast): """Gets the dtype that AutoCastVariables should be read in.""" if should_cast and input_list and input_list[0].dtype.is_floating: return input_list[0].dtype.base_dtype else: return None def autocast_context_manager(input_list, should_cast): """Returns a context manager to autocast AutoCastVariables. Under this context manager, if `should_cast` is True, AutoCastVariables will be casted. If `should_cast` is False, AutoCastVariables will not be casted, which can be used to disable autocasting if nested under another call to `autocast_context_manager`. Args: input_list: The inputs to the layer with the AutoCastVariables. should_cast: Whether AutoCastVariables should be casted. Returns: A context manager to automatically cast AutoCastVariables. """ var_read_dtype = _get_var_read_dtype(input_list, should_cast) return ops.get_default_graph()._enable_auto_casting_variables( # pylint: disable=protected-access var_read_dtype) def is_subclassed(layer): return (layer.__module__.find('keras.engine') == -1 and layer.__module__.find('keras.layers') == -1) def check_graph_consistency(tensor, method): """Checks that tensors passed to `add_*` method match the Keras graph. When one of the `add_*` method is called inside a V2 conditional branch, the underlying tensor gets created in a FuncGraph managed by control_flow_v2. We need to raise clear error messages in such cases. Arguments: tensor: Tensor to check. method: Caller method, one of {'add_metric', 'add_loss', 'add_update'}. Raises: RuntimeError: In case of an out-of-graph tensor. """ if ops.executing_eagerly_outside_functions() and hasattr(tensor, 'graph'): if isinstance(tensor.graph, (control_flow_util_v2.CondBranchFuncGraph, control_flow_util_v2.WhileCondFuncGraph, control_flow_util_v2.WhileBodyFuncGraph)): if method == 'add_metric': bad_example = """ def call(self, inputs, training=None): if training: metric = compute_metric(inputs) self.add_metric(metric, name='my_metric', aggregation='mean') return inputs """ correct_example = """ def call(self, inputs, training=None): if training: metric = compute_metric(inputs) else: metric = 0. self.add_metric(metric, name='my_metric', aggregation='mean') return inputs """ elif method == 'add_loss': bad_example = """ def call(self, inputs, training=None): if training: loss = compute_loss(inputs) self.add_loss(loss) return inputs """ correct_example = """ def call(self, inputs, training=None): if training: loss = compute_loss(inputs) else: loss = 0. self.add_loss(loss) return inputs """ else: bad_example = """ def call(self, inputs, training=None): if training: self.add_update(self.w.assign_add(1)) return inputs """ correct_example = """ def call(self, inputs, training=None): if training: increment = 1 else: increment = 0 self.add_update(self.w.assign_add(increment)) return inputs """ raise RuntimeError( 'You are using the method `{method}` in a control flow branch ' 'in your layer, e.g.:\n{bad_example}\n' 'This is not currently supported. ' 'You should either use static control flow (`tf.cond`) ' 'or move your call to {method} out of the control flow branch, ' 'e.g.:\n{correct_example}\n' 'You can also resolve this by marking your layer ' 'as dynamic (eager-only) by passing ' '`dynamic=True` to the layer constructor. ' 'Any kind of control flow is supported with dynamic layers. ' 'Note that using `dynamic=True` requires you ' 'to implement static shape inference ' 'in the `compute_output_shape(input_shape)` method.'.format( method=method, bad_example=bad_example, correct_example=correct_example))

[ "[email protected]" ]

[email protected]

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/machine_learning/clustering/hierarchical_clustering/AgglomerativeClustering/main.py

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import numpy as np import run as r ''' [id] 145 [name] AgglomerativeClustering [input] x_train 训练集训练集标签数据集二维数组必须定数 y_train 测试集测试集数据集二维数组必须定数 n_clusters 簇数默认为2,要查找的集群数。如果'None'不是'distance_threshold'，则必须为'None',可选整数整数不必须定数 affinity 亲和力默认为'euclidean',用于计算链接的度量。可以是'euclidean'，'l1'，'l2'，'manhattan'，'cosine'或'precomputed'。如果链接为'ward'，则仅接受'euclidean'。如果为'precomputed'，则需要距离矩阵(而不是相似度矩阵)作为拟合方法的输入,可选'euclidean' 字符串不必须定数 memory memory 默认为None,用于缓存树计算的输出。默认情况下，不进行缓存。如果给出了字符串，则它是缓存目录的路径,可选整数,字符串字符串不必须定数 connectivity 连通性默认为None,连接矩阵。为每个样本定义遵循给定数据结构的相邻样本。这可以是连通性矩阵本身，也可以是将数据转换为连通性矩阵(例如从kneighbors_graph派生)的可调用对象。默认值为None，即分层聚类算法是非结构化的,可选数组不定数组不必须定数 compute_full_tree 计算全树默认为auto,尽早在n_clusters处停止树的构建。还要注意的是，当更改群集数量并使用缓存时，计算完整树可能是有利的。如果'True'不是'distance_threshold'，则必须为'None'。默认情况下，'compute_full_tree'是'auto'，当'True'不是'distance_threshold'或'None'次于100或'n_clusters'之间的最大值时，等于'0.02 * n_samples'。否则，'auto'等于'False',可选布尔值,'auto' 字符串不必须定数 linkage 链接标准默认为ward,使用哪个链接标准。链接标准确定要在观察组之间使用的距离。该算法将合并最小化此标准的成对集群。-ward将合并的簇的方差最小化。-平均使用两组的每个观测值的距离的平均值。-完全或最大链接使用两组所有观测值之间的最大距离。-single使用两组的所有观测值之间的最小距离,可选'ward','average','single','complete' 字符串不必须定数 distance_threshold 距离阈值默认为None,链接距离阈值，超过该距离时，群集将不会合并。如果不是'None'，则'n_clusters'必须为'None'，而'compute_full_tree'必须为'True',可选浮点数浮点数不必须定数 [output] n_clusters_ 簇数该算法找到的簇数。如果为'distance_threshold=None'，则等于给定的'n_clusters' 整数 labels_ 标签每个点的聚类标签一维数组 n_leaves_ 叶子数层次树中的叶数整数 n_connected_components_ 组件连接数图中估计的已连接组件数整数 children_ children_ 每个非叶节点的子级。小于'n_samples'的值对应于作为原始样本的树的叶子。大于或等于'i'的节点'n_samples'是非叶子节点，并且具有子节点'children_[i - n_samples]'。或者，在第i次迭代中，children [i] [0]和children [i] [1]合并以形成节点'n_samples + i 二维数组 [outline] 聚集聚类以递归方式合并这对最小增加给定链接距离的聚类对。 [describe] 聚集聚类以递归方式合并这对最小增加给定链接距离的聚类对。 ''' def main(x_train, y_train, n_clusters=2, affinity="euclidean", memory=None, connectivity=None, compute_full_tree='auto', linkage='ward', distance_threshold=None ): if type(x_train) is str: x_train = eval(x_train) if type(y_train) is str: y_train = eval(y_train) if type(n_clusters) is str: n_clusters = eval(n_clusters) if type(connectivity) is str: connectivity = eval(connectivity) if type(distance_threshold) is str: distance_threshold = eval(distance_threshold) return r.run(x_train=x_train, y_train=y_train, n_clusters=n_clusters, affinity=affinity, memory=memory, connectivity=connectivity, compute_full_tree=compute_full_tree, linkage=linkage, distance_threshold=distance_threshold) if __name__ == '__main__': import numpy as np import json array = np.loadtxt('D:\\123_2.csv', delimiter=',') array = array[0:20, :] y = array[:, -1].tolist() x = np.delete(array, -1, axis=1).tolist() array = array.tolist() back = main(x, y) print(back) for i in back: print(i + ":" + str(back[i])) json.dumps(back)

[ "[email protected]" ]

[email protected]

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from .GoToAddressLabelDialog import GoToAddressLabelDialog as GoToAddressLabelDialog from .GoToQuery import GoToQuery as GoToQuery from .GoToServiceImpl import GoToServiceImpl as GoToServiceImpl

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from torchgen.model import NativeFunctionsGroup, NativeFunctionsViewGroup from typing import Dict, Union def func_name_base_str(g: Union[NativeFunctionsGroup, NativeFunctionsViewGroup]) -> str: if isinstance(g, NativeFunctionsGroup): return str(g.functional.func.name.name.base) else: return str(g.view.root_name) is_hand_written_ops_ = frozenset( ( "abs", "add", "addmm", "all", "any", "argmin", "bmm", "clamp", "clamp_min", "cumsum", "div", "fmod", "index_select", "leaky_relu", "linear", "log", "matmul", "mul", "narrow_copy", "nonzero", "pow", "remainder", "sigmoid", "sign", "sub", "tanh", "detach", "expand_as", "flatten", "narrow", "reshape_as", "select", "slice", "softmax", "split", "squeeze", "transpose", "view", "where", ) ) def is_hand_written(g: NativeFunctionsGroup) -> bool: name_base = func_name_base_str(g) return name_base in is_hand_written_ops_ def override_test_values(arg_map: Dict[str, str], op_name: str, index: int) -> None: assert index == 0 or index == 1 if op_name == "addr": if index == 0: arg_map["self"] = "at::rand({6, 6})" arg_map["vec1"] = "at::rand({6})" arg_map["vec2"] = "at::rand({6})" else: arg_map["self"] = "at::rand({22, 22})" arg_map["vec1"] = "at::rand({22})" arg_map["vec2"] = "at::rand({22})" return if op_name == "mv": if index == 0: arg_map["self"] = "at::rand({6, 6})" arg_map["vec"] = "at::rand({6})" else: arg_map["self"] = "at::rand({22, 22})" arg_map["vec"] = "at::rand({22})" return if op_name == "addbmm": if index == 0: arg_map["self"] = "at::rand({6, 6})" else: arg_map["self"] = "at::rand({22, 22})" return if op_name == "cross": if index == 0: arg_map["self"] = "at::rand({3, 3, 3})" arg_map["other"] = "at::rand({3, 3, 3})" else: arg_map["self"] = "at::rand({22, 3, 22})" arg_map["other"] = "at::rand({22, 3, 22})" return if op_name == "take": if index == 0: arg_map["index"] = "at::randint(0, 216, {20}, torch::kInt64)" else: arg_map["index"] = "at::randint(0, 1000, {100}, torch::kInt64)" return if op_name == "take_along_dim": if index == 0: arg_map["indices"] = "at::argsort(self0, 1, true)" else: arg_map["indices"] = "at::argsort(self1, 1, true)" return if op_name == "masked_select": if index == 0: arg_map["mask"] = "at::randn({6, 6, 6}) > 0.5" else: arg_map["mask"] = "at::rand({22, 22, 22}) > 0.5" return if op_name == "orgqr": if index == 0: arg_map["input2"] = "at::rand({6, 6})" else: arg_map["input2"] = "at::rand({22, 22})" return if op_name == "ormqr": if index == 0: arg_map["input2"] = "at::rand({6, 6})" else: arg_map["input2"] = "at::rand({22, 22})" return if op_name == "quantile": if index == 0: arg_map["q"] = "at::rand({6})" arg_map["interpolation"] = '"linear"' else: arg_map["q"] = "at::rand({22})" arg_map["interpolation"] = '"linear"' return if op_name == "nanquantile": if index == 0: arg_map["q"] = "at::rand({6})" arg_map["interpolation"] = '"linear"' else: arg_map["q"] = "at::rand({22})" arg_map["interpolation"] = '"linear"' return if op_name == "multi_margin_loss": if index == 0: arg_map["self"] = "at::rand({6, 6})" arg_map["target"] = "at::randint(6, {6}, torch::kInt64)" arg_map["weight"] = "at::rand({6})" else: arg_map["self"] = "at::rand({22, 22})" arg_map["target"] = "at::randint(22, {22}, torch::kInt64)" arg_map["weight"] = "at::rand({22})" return if op_name == "multilabel_margin_loss": if index == 0: arg_map["self"] = "at::rand({6, 6})" arg_map["target"] = "at::randint(6, {6, 6}, torch::kInt64)" else: arg_map["self"] = "at::rand({22, 22})" arg_map["target"] = "at::randint(22, {22, 22}, torch::kInt64)" return if op_name == "nll_loss": if index == 0: arg_map["self"] = "at::rand({6, 6})" arg_map["target"] = "at::randint(6, {6}, torch::kInt64)" arg_map["weight"] = "at::rand({6})" else: arg_map["self"] = "at::rand({22, 22})" arg_map["target"] = "at::randint(22, {22}, torch::kInt64)" arg_map["weight"] = "at::rand({22})" return if op_name == "nll_loss2d": if index == 0: arg_map["self"] = "at::rand({6, 6, 6, 6})" arg_map["target"] = "at::randint(6, {6, 6, 6}, torch::kInt64)" arg_map["weight"] = "at::rand({6})" else: arg_map["self"] = "at::rand({22, 22, 22, 22})" arg_map["target"] = "at::randint(22, {22, 22, 22}, torch::kInt64)" arg_map["weight"] = "at::rand({22})" return if op_name in ( "fft_fft", "fft_ifft", "fft_rfft", "fft_irfft", "fft_hfft", "fft_ihfft", ): arg_map["norm"] = '"forward"' return if op_name == "linalg_tensorinv": if index == 0: arg_map["self"] = "at::rand({6, 6, 6, 6})" arg_map["ind"] = "2" else: arg_map["self"] = "at::rand({22, 22, 22, 22})" arg_map["ind"] = "2" return if op_name == "addmv": if index == 0: arg_map["self"] = "at::rand({2})" arg_map["mat"] = "at::rand({2, 2})" arg_map["vec"] = "at::rand({2})" else: arg_map["self"] = "at::rand({35})" arg_map["mat"] = "at::rand({35, 35})" arg_map["vec"] = "at::rand({35})" return if op_name == "acosh": if index == 0: arg_map["self"] = "at::rand({2, 2, 2}) + at::ones({2, 2, 2})" else: arg_map["self"] = "at::rand({5, 5, 5}) + at::ones({5, 5, 5})" return if op_name == "adaptive_max_pool2d_backward": if index == 0: arg_map["grad_output"] = "at::randint(-3, 2, {2,2,2})" arg_map["self"] = "at::randint(-3, 2, {2,2,2})" arg_map["indices"] = "at::randint(0, 1, {2,2,2}, at::kLong)" else: arg_map["grad_output"] = "at::randint(-3, 3, {3,3,3})" arg_map["self"] = "at::randint(-3, 2, {3,3,3})" arg_map["indices"] = "at::randint(0, 1, {3,3,3}, at::kLong)" return if op_name == "adaptive_max_pool3d_backward": if index == 0: arg_map["grad_output"] = "at::randint(-3, 2, {2,2,2,2})" arg_map["self"] = "at::randint(-3, 2, {2,2,2,2})" arg_map["indices"] = "at::randint(0, 1, {2,2,2,2}, at::kLong)" else: arg_map["grad_output"] = "at::randint(-3, 3, {3,3,3,3})" arg_map["self"] = "at::randint(-3, 2, {3,3,3,3})" arg_map["indices"] = "at::randint(0, 1, {3,3,3,3}, at::kLong)" return if op_name == "gather": if index == 0: arg_map["self"] = "at::randint(1, 100, {2,2,2}, at::kInt)" arg_map["dim"] = "1" arg_map["index"] = "at::randint(0, 1, {2,2,2}, torch::kInt64)" arg_map["sparse_grad"] = "false" else: arg_map["self"] = "at::randint(1, 100, {5,5,5}, at::kInt)" arg_map["dim"] = "1" arg_map["index"] = "at::randint(0, 4, {5,5,5}, torch::kInt64)" arg_map["sparse_grad"] = "false" return if op_name == "gelu": if index == 0: arg_map["self"] = "at::rand({6, 6, 6})" arg_map["approximate"] = '"tanh"' else: arg_map["self"] = "at::rand({22, 22, 22})" arg_map["approximate"] = '"tanh"' return if op_name == "gelu_backward": if index == 0: arg_map["grad_output"] = "at::rand({6, 6, 6})" arg_map["self"] = "at::rand({6, 6, 6})" arg_map["approximate"] = '"tanh"' else: arg_map["grad_output"] = "at::rand({22, 22, 22})" arg_map["self"] = "at::rand({22, 22, 22})" arg_map["approximate"] = '"tanh"' return if op_name == "index_add": if index == 0: arg_map["self"] = "at::rand({2})" arg_map["dim"] = "0" arg_map["index"] = "at::randint(0, 1, {2}, at::kInt)" arg_map["source"] = "at::rand({2})" arg_map["alpha"] = "2" else: arg_map["self"] = "at::rand({16})" arg_map["dim"] = "0" arg_map["index"] = "at::randint(0, 10, {16}, at::kInt)" arg_map["source"] = "at::rand({16})" arg_map["alpha"] = "2" return if op_name == "index_copy": if index == 0: arg_map["self"] = "at::rand({2})" arg_map["dim"] = "0" arg_map["index"] = "at::randint(0, 1, {2}, at::kLong)" arg_map["source"] = "at::rand({2})" else: arg_map["self"] = "at::rand({32})" arg_map["dim"] = "0" arg_map["index"] = "at::randint(0, 10, {32}, at::kLong)" arg_map["source"] = "at::rand({32})" return if op_name == "linalg_cross": if index == 0: arg_map["self"] = "at::rand({6, 3, 6})" arg_map["other"] = "at::rand({6, 3, 6})" arg_map["dim"] = "1" else: arg_map["self"] = "at::rand({22, 3, 22})" arg_map["other"] = "at::rand({22, 3, 22})" arg_map["dim"] = "1" return if op_name == "nll_loss_backward": if index == 0: arg_map["grad_output"] = "at::rand({})" arg_map["self"] = "at::rand({6})" arg_map["target"] = "at::randint(0, 5, {6}, torch::kInt64)" arg_map["weight"] = "at::rand({6})" arg_map["reduction"] = "1" arg_map["ignore_index"] = "1" arg_map["total_weight"] = "at::rand({})" else: arg_map["grad_output"] = "at::rand({})" arg_map["self"] = "at::rand({36})" arg_map["target"] = "at::randint(0, 11, {36}, torch::kInt64)" arg_map["weight"] = "at::rand({36})" arg_map["reduction"] = "1" arg_map["ignore_index"] = "1" arg_map["total_weight"] = "at::rand({})" return if op_name in ["scatter", "scatter_add", "_scatter_reduce"]: if index == 0: arg_map["self"] = "at::randint(1, 100, {2,2,2}, torch::kInt64)" arg_map["index"] = "at::randint(0, 1, {2,2,2}, torch::kInt64)" arg_map["src"] = "at::randint(1, 100, {2,2,2}, torch::kInt64)" else: arg_map["self"] = "at::randint(1, 100, {5,5,5}, torch::kInt64)" arg_map["index"] = "at::randint(0, 1, {5,5,5}, torch::kInt64)" arg_map["src"] = "at::randint(1, 100, {5,5,5}, torch::kInt64)" if "reduce" in arg_map: arg_map["reduce"] = '"sum"' if op_name == "_scatter_reduce" else '"add"' return if op_name == "scatter_reduce": arg_map["reduce"] = '"mean"' if index == 0: arg_map["index"] = "at::randint(6, {6, 6, 6}, torch::kInt64)" else: arg_map["index"] = "at::randint(22, {22, 22, 22}, torch::kInt64)" return if op_name == "special_zeta": if index == 0: arg_map["self"] = "at::rand({2,2,2}, at::kDouble) + at::ones({2,2,2})" arg_map["other"] = "at::rand({2,2,2}, at::kDouble) + at::ones({2,2,2})" else: arg_map["self"] = "at::rand({5,5,5}, at::kDouble) + at::ones({5,5,5})" arg_map["other"] = "at::rand({5,5,5}, at::kDouble) + at::ones({5,5,5})" return if op_name == "_convert_indices_from_csr_to_coo": if index == 0: arg_map["crow_indices"] = "torch::tensor({1}, torch::kInt32)" arg_map["col_indices"] = "torch::tensor({0, 1, 0}, torch::kInt32)" arg_map["out_int32"] = "false" else: arg_map["crow_indices"] = "torch::tensor({0}, torch::kInt32)" arg_map[ "col_indices" ] = "torch::tensor({0, 1, 0, 2, 1, 2, 0, 1, 0, 2, 1, 2}, torch::kInt32)" arg_map["out_int32"] = "false" return if op_name == "_convert_indices_from_coo_to_csr": if index == 0: arg_map["self"] = "at::randint(0, 3, {2}, at::kInt)" arg_map["size"] = "10" arg_map["out_int32"] = "false" else: arg_map["self"] = "at::randint(0, 3, {12}, at::kInt)" arg_map["size"] = "24" arg_map["out_int32"] = "false" return if op_name in ("diagonal", "linalg_diagonal"): arg_map["offset"] = "0" arg_map["dim0"] = "1" arg_map["dim1"] = "2" return

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import sys sys.stdin = open("구슬고르기_input.txt") # 김은경 샘 코드 def DFS1(n): # 중복순열 if n>N: for i in range(1, N+1): print(arr[i], end=' ') print() return for i in range(1, 7): arr[n]=i DFS1(n+1) def DFS3(n): # 순열 if n>N: for i in range(1, N+1): print(arr[i], end=' ') print() return for i in range(1, 7): if chk[i]:continue chk[i]=1 # 순열은 체크 해야함 arr[n]=i DFS3(n+1) chk[i]=0 # 순열은 체크해제도 해야함 def DFS2(n, start): # 중복조합 if n>N: for i in range(1, N+1): print(arr[i], end=' ') print() return for i in range(start, 7): # 시작은 스타트부터 arr[n]=i DFS2(n+1, i) # 스타트업데이트는 start가 아닌 i def DFS4(n, start): # 조합 if n>N: for i in range(1, N+1): print(arr[i], end=' ') print() return for i in range(start, 7): arr[n]=i DFS4(n+1, i+1) # 조합은 i 가 아닌 i + 1 중요! #main--------------------------------- N, M = map(int, input().split()) arr =[0] * (N+1) chk = [0] * 7 if M ==1: DFS1(1) elif M ==3 : DFS3(1) elif M == 2: DFS2(1, 1) elif M ==4: DFS4(1,1) # def ovperm(n, k): # if n == k: # for g in p: # print(g, end=" ") # print() # else: # for i in range(k, n): # a[i], a[k] = a[k], a[i] # p[k] = a[i] # perm(n, k+1) # # perm(n-1, k+1) # a[i], a[k] = a[k], a[i] # # def DFS(no): # chk를 하면 순열 chk를 하지 않으면 중복순열 # if no >= N: # for i in range(N): # print(b[i], end=" ") # print() # return # for i in range(6): # # if chk[i]:continue # 1이면 continue, 0이면 진행 # # chk[i] = 1 # b[no] = a[i] # DFS(no + 1) # # chk[i] = 0 # # def comb(no): # if no >= N: # for i in range(N): # print(b[i], end=" ") # print() # return # b[no] = a[no] # comb(no + 1) # b[no] = 0 # comb(no + 1) # # # def combs(no, start): # a[no]번째 구슬을 상자에 담거나 담지 않는 모든 경우 # # for i in range(N): print(b[i], end=" ") # # print() # # if no >= N or start >= N: # # return # # for i in range(start, N): # # b[no] = a[i] # # combs(no+1, i+1) # # b[no] = 0 # # N = int(input()) # a = [n for n in range(1, 7)] # b = [0] * N # chk = [0] * N # # DFS(0) # # comb(0) # DFS(0)

[ "[email protected]" ]

[email protected]

8f5b53674caa26cd827c4943842f96a981027ade

386a5b505d77c9798aaab78495d0f00c349cf660

/python/function/harmonic.py

f23e439bde8eccf7c61bf23d64a8e3c28998c89d

[]

no_license

namratarane20/MachineLearning

2da2c87217618d124fd53f607c20641ba44fb0b7

b561cc74733b655507242cbbf13ea09a2416b9e2

refs/heads/master

2023-01-20T18:54:15.662179

2020-03-09T14:12:44

237,597,461

0

null

2023-01-05T12:37:12

2020-02-01T10:22:20

Python

UTF-8

Python

false

431

py

#this program is used print the nth harmonic value from data import functional try: value = int(input("enter the value: ")) if value > 0: # if value is more than 0 it will run the method functional.harmonic(value) else:print("enter more than 0") except ValueError: # if is not numerical value it will throw the error print("enter the proper input")

[ "[email protected]" ]

[email protected]

b97cffb7e0a43919de823cb6cf823479aa0bc268

a2ee667a402d821831ce1532c3a2e62305624388

/extras/sample_site/sample_site/urls.py

b391adc051ec60ccb38c358017504169712765ab

[ "MIT" ]

permissive

cltrudeau/django-flowr

9c1c7c8a43d881f962e8dd58ca424daa3ee1348a

ea2d69fda94d1998f48301954f8dc69f0b553553

refs/heads/master

2023-07-05T20:28:05.370538

2023-06-29T19:36:41

40,761,586

3

0

MIT

2022-12-26T19:50:47

2015-08-15T13:37:23

Python

UTF-8

Python

false

185

py

from django.conf.urls import include, url from django.contrib import admin urlpatterns = [ url(r'^admin/', include(admin.site.urls)), url(r'^flowr/', include('flowr.urls')), ]

[ "[email protected]" ]

[email protected]

b4be61d8b86b193478f3cf286e713cde26bb27d9

7e7a1a1c7f5a2069b50b90b247d89faef17b7eef

/test/unit/test_make.py

32d6c20acbcdafa123544c60d5ce8704b4b77154

[ "BSD-3-Clause" ]

permissive

JulianVolodia/bfg9000

e1d13e07ef43577ce871cbdf28d7854eaad9985e

c04867cd7fc4861bc67fe38f9ca47ee6cc43edef

refs/heads/master

2021-01-11T12:16:38.842893

2016-12-11T21:16:52

2016-12-12T01:18:07

null

0

null

UTF-8

Python

false

5,162

py

import os import unittest from six.moves import cStringIO as StringIO from bfg9000 import path from bfg9000 import safe_str from bfg9000.backends.make.syntax import * from bfg9000.platforms import platform_name esc_colon = ':' if platform_name() == 'windows' else '\\:' def quoted(s): return "'" + s + "'" class TestMakeWriter(unittest.TestCase): # strings def test_write_string_target(self): out = Writer(StringIO()) out.write('foo: $bar|baz,quux', Syntax.target) self.assertEqual(out.stream.getvalue(), 'foo' + esc_colon + '\\ $$bar|baz,quux') def test_write_string_dependency(self): out = Writer(StringIO()) out.write('foo: $bar|baz,quux', Syntax.dependency) self.assertEqual(out.stream.getvalue(), 'foo' + esc_colon + '\\ $$bar\\|baz,quux') def test_write_string_function(self): out = Writer(StringIO()) out.write('foo: $bar|baz,quux', Syntax.function) self.assertEqual(out.stream.getvalue(), quoted('foo: $$bar|baz$,quux')) def test_write_string_shell(self): out = Writer(StringIO()) out.write('foo: $bar|baz,quux', Syntax.shell) self.assertEqual(out.stream.getvalue(), quoted('foo: $$bar|baz,quux')) def test_write_string_clean(self): out = Writer(StringIO()) out.write('foo: $bar|baz,quux', Syntax.clean) self.assertEqual(out.stream.getvalue(), 'foo: $$bar|baz,quux') # escaped strings def test_write_escaped_string_target(self): out = Writer(StringIO()) out.write(safe_str.escaped_str('foo: $bar|baz,quux'), Syntax.target) self.assertEqual(out.stream.getvalue(), 'foo: $bar|baz,quux') def test_write_escaped_string_dependency(self): out = Writer(StringIO()) out.write(safe_str.escaped_str('foo: $bar|baz,quux'), Syntax.dependency) self.assertEqual(out.stream.getvalue(), 'foo: $bar|baz,quux') def test_write_escaped_string_function(self): out = Writer(StringIO()) out.write(safe_str.escaped_str('foo: $bar|baz,quux'), Syntax.function) self.assertEqual(out.stream.getvalue(), 'foo: $bar|baz,quux') def test_write_escaped_string_shell(self): out = Writer(StringIO()) out.write(safe_str.escaped_str('foo: $bar|baz,quux'), Syntax.shell) self.assertEqual(out.stream.getvalue(), 'foo: $bar|baz,quux') def test_write_escaped_string_clean(self): out = Writer(StringIO()) out.write(safe_str.escaped_str('foo: $bar|baz,quux'), Syntax.clean) self.assertEqual(out.stream.getvalue(), 'foo: $bar|baz,quux') # jbos def test_write_jbos_target(self): out = Writer(StringIO()) s = safe_str.jbos('$foo', safe_str.escaped_str('$bar')) out.write(s, Syntax.target) self.assertEqual(out.stream.getvalue(), '$$foo$bar') def test_write_jbos_dependency(self): out = Writer(StringIO()) s = safe_str.jbos('$foo', safe_str.escaped_str('$bar')) out.write(s, Syntax.dependency) self.assertEqual(out.stream.getvalue(), '$$foo$bar') def test_write_jbos_function(self): out = Writer(StringIO()) s = safe_str.jbos('$foo', safe_str.escaped_str('$bar')) out.write(s, Syntax.function) self.assertEqual(out.stream.getvalue(), quoted('$$foo') + '$bar') def test_write_jbos_shell(self): out = Writer(StringIO()) s = safe_str.jbos('$foo', safe_str.escaped_str('$bar')) out.write(s, Syntax.shell) self.assertEqual(out.stream.getvalue(), quoted('$$foo') + '$bar') def test_write_jbos_clean(self): out = Writer(StringIO()) s = safe_str.jbos('$foo', safe_str.escaped_str('$bar')) out.write(s, Syntax.clean) self.assertEqual(out.stream.getvalue(), '$$foo$bar') # paths def test_write_path_target(self): out = Writer(StringIO()) out.write(path.Path('foo', path.Root.srcdir), Syntax.target) self.assertEqual(out.stream.getvalue(), os.path.join('$(srcdir)', 'foo')) def test_write_path_dependency(self): out = Writer(StringIO()) out.write(path.Path('foo', path.Root.srcdir), Syntax.dependency) self.assertEqual(out.stream.getvalue(), os.path.join('$(srcdir)', 'foo')) def test_write_path_function(self): out = Writer(StringIO()) out.write(path.Path('foo', path.Root.srcdir), Syntax.function) self.assertEqual(out.stream.getvalue(), quoted(os.path.join('$(srcdir)', 'foo'))) def test_write_path_shell(self): out = Writer(StringIO()) out.write(path.Path('foo', path.Root.srcdir), Syntax.shell) self.assertEqual(out.stream.getvalue(), quoted(os.path.join('$(srcdir)', 'foo'))) def test_write_path_clean(self): out = Writer(StringIO()) out.write(path.Path('foo', path.Root.srcdir), Syntax.clean) self.assertEqual(out.stream.getvalue(), os.path.join('$(srcdir)', 'foo'))

[ "[email protected]" ]

[email protected]

858c51c8c9f563c0c5054b8d8466a2f7140398c7

52d9c6d005b2e91f489fdd817059b1217efd711d

/_downloads/8591a6f0671d02c692445320b45c6776/date_demo_rrule.py

56d2ebf97b135046b79231488af7e5385b733588

[]

no_license

yuhaihaiyu/matplotlib.github.com

2a785654d4a0e4a9b6d1876b0aae96b6b5d20fc5

fbe748c706e92f9ccb660eab656deaebe179a6af

refs/heads/master

2023-07-31T08:04:16.716267

2021-10-02T06:00:49

null

0

null

UTF-8

Python

false

75

py

../../stable/_downloads/8591a6f0671d02c692445320b45c6776/date_demo_rrule.py

[ "[email protected]" ]

[email protected]

751baeeaf78e31e7c30ff0263dce2e8a7717fb44

48517a9b7ec7b0f0bf0a03291b7d1e3def751c0a

/Pibow/corner_to_corner_3_v2.py

4b9f958fcb0bdf6453d970f0e489ffbcd7e54229

[ "MIT" ]

permissive

Breakfast-for-Pigeons/Unicorn-HAT

1ae033bf11c05b9cc739b1eacfc77665506e0bc8

9ff1388ee627a8e81f361929e9e9b708db4e2832

refs/heads/master

2021-06-06T12:22:48.162031

2020-10-22T17:31:51

74,648,524

1

0

null

2018-10-02T17:37:31

2016-11-24T07:28:23

Python

UTF-8

Python

false

7,514

py

#!/usr/bin/python3 """ Corner to Corner 3 version 2- Pibow Moves a square from the lower right corner to the upper left corner. Instead of cycling through all the colors, a specific color must be sent to the function as an argument. .................... Author: Paul Ryan This program was written on a Raspberry Pi using the Geany IDE. """ ######################################################################## # Import modules # ######################################################################## from time import sleep import unicornhat from bfp_unicornhat import print_header from bfp_unicornhat import stop ######################################################################## # Import Variables # ######################################################################## from bfp_unicornhat import C1 from bfp_unicornhat import C2 from bfp_unicornhat import C3 from bfp_unicornhat import C4 from bfp_unicornhat import C5 from bfp_unicornhat import C6 from bfp_unicornhat import C7 from bfp_unicornhat import C8 ######################################################################## # Functions # ######################################################################## def corner_to_corner_3_v2(color): """ Moves a square from the lower right corner to the upper left corner. Arguments: This function takes an RGB tuple as an argument argument. """ sleep_speed = 0.1 off = (0, 0, 0) unicornhat.set_pixel(7, 7, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(6, 7, color) unicornhat.set_pixel(6, 6, color) unicornhat.set_pixel(7, 6, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(5, 7, color) unicornhat.set_pixel(5, 6, color) unicornhat.set_pixel(5, 5, color) unicornhat.set_pixel(6, 5, color) unicornhat.set_pixel(7, 5, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(4, 7, color) unicornhat.set_pixel(4, 6, color) unicornhat.set_pixel(4, 5, color) unicornhat.set_pixel(4, 4, color) unicornhat.set_pixel(5, 4, color) unicornhat.set_pixel(6, 4, color) unicornhat.set_pixel(7, 4, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(3, 7, color) unicornhat.set_pixel(3, 6, color) unicornhat.set_pixel(3, 5, color) unicornhat.set_pixel(3, 4, color) unicornhat.set_pixel(3, 3, color) unicornhat.set_pixel(4, 3, color) unicornhat.set_pixel(5, 3, color) unicornhat.set_pixel(6, 3, color) unicornhat.set_pixel(7, 3, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(2, 7, color) unicornhat.set_pixel(2, 6, color) unicornhat.set_pixel(2, 5, color) unicornhat.set_pixel(2, 4, color) unicornhat.set_pixel(2, 3, color) unicornhat.set_pixel(2, 2, color) unicornhat.set_pixel(3, 2, color) unicornhat.set_pixel(4, 2, color) unicornhat.set_pixel(5, 2, color) unicornhat.set_pixel(6, 2, color) unicornhat.set_pixel(7, 2, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(1, 7, color) unicornhat.set_pixel(1, 6, color) unicornhat.set_pixel(1, 5, color) unicornhat.set_pixel(1, 4, color) unicornhat.set_pixel(1, 3, color) unicornhat.set_pixel(1, 2, color) unicornhat.set_pixel(1, 1, color) unicornhat.set_pixel(2, 1, color) unicornhat.set_pixel(3, 1, color) unicornhat.set_pixel(4, 1, color) unicornhat.set_pixel(5, 1, color) unicornhat.set_pixel(6, 1, color) unicornhat.set_pixel(7, 1, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(0, 7, color) unicornhat.set_pixel(0, 6, color) unicornhat.set_pixel(0, 5, color) unicornhat.set_pixel(0, 4, color) unicornhat.set_pixel(0, 3, color) unicornhat.set_pixel(0, 2, color) unicornhat.set_pixel(0, 1, color) unicornhat.set_pixel(0, 0, color) unicornhat.set_pixel(1, 0, color) unicornhat.set_pixel(2, 0, color) unicornhat.set_pixel(3, 0, color) unicornhat.set_pixel(4, 0, color) unicornhat.set_pixel(5, 0, color) unicornhat.set_pixel(6, 0, color) unicornhat.set_pixel(7, 0, color) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(7, 0, off) unicornhat.set_pixel(7, 1, off) unicornhat.set_pixel(7, 2, off) unicornhat.set_pixel(7, 3, off) unicornhat.set_pixel(7, 4, off) unicornhat.set_pixel(7, 5, off) unicornhat.set_pixel(7, 6, off) unicornhat.set_pixel(7, 7, off) unicornhat.set_pixel(6, 7, off) unicornhat.set_pixel(5, 7, off) unicornhat.set_pixel(4, 7, off) unicornhat.set_pixel(3, 7, off) unicornhat.set_pixel(2, 7, off) unicornhat.set_pixel(1, 7, off) unicornhat.set_pixel(0, 7, off) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(6, 0, off) unicornhat.set_pixel(6, 1, off) unicornhat.set_pixel(6, 2, off) unicornhat.set_pixel(6, 3, off) unicornhat.set_pixel(6, 4, off) unicornhat.set_pixel(6, 5, off) unicornhat.set_pixel(6, 6, off) unicornhat.set_pixel(5, 6, off) unicornhat.set_pixel(4, 6, off) unicornhat.set_pixel(3, 6, off) unicornhat.set_pixel(2, 6, off) unicornhat.set_pixel(1, 6, off) unicornhat.set_pixel(0, 6, off) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(5, 0, off) unicornhat.set_pixel(5, 1, off) unicornhat.set_pixel(5, 2, off) unicornhat.set_pixel(5, 3, off) unicornhat.set_pixel(5, 4, off) unicornhat.set_pixel(5, 5, off) unicornhat.set_pixel(4, 5, off) unicornhat.set_pixel(3, 5, off) unicornhat.set_pixel(2, 5, off) unicornhat.set_pixel(1, 5, off) unicornhat.set_pixel(0, 5, off) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(4, 0, off) unicornhat.set_pixel(4, 1, off) unicornhat.set_pixel(4, 2, off) unicornhat.set_pixel(4, 3, off) unicornhat.set_pixel(4, 4, off) unicornhat.set_pixel(3, 4, off) unicornhat.set_pixel(2, 4, off) unicornhat.set_pixel(1, 4, off) unicornhat.set_pixel(0, 4, off) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(3, 0, off) unicornhat.set_pixel(3, 1, off) unicornhat.set_pixel(3, 2, off) unicornhat.set_pixel(3, 3, off) unicornhat.set_pixel(2, 3, off) unicornhat.set_pixel(1, 3, off) unicornhat.set_pixel(0, 3, off) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(2, 0, off) unicornhat.set_pixel(2, 1, off) unicornhat.set_pixel(2, 2, off) unicornhat.set_pixel(1, 2, off) unicornhat.set_pixel(0, 2, off) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(1, 0, off) unicornhat.set_pixel(1, 1, off) unicornhat.set_pixel(0, 1, off) unicornhat.show() sleep(sleep_speed) unicornhat.set_pixel(0, 0, off) unicornhat.show() sleep(sleep_speed) if __name__ == '__main__': COLORS = [C1, C2, C3, C4, C5, C6, C7, C8] try: # STEP01: Print header print_header() # STEP02: Print instructions in white text print("\033[1;37;40mPress Ctrl-C to stop the program.") # STEP03: for COLOR in COLORS: corner_to_corner_3_v2(COLOR) # STEP04: Exit the program. stop() except KeyboardInterrupt: stop()

[ "[email protected]" ]

[email protected]

4a625cc49e2d484363ea090f357a0e45dc2e536a

9e28200b71d43de1e122a964e88f1b547bfde465

/question_leetcode/702.py

e39791835a7143e971e1b37e879656148c9a064b

[]

no_license

paul0920/leetcode

6f8a7086eefd3e9bccae83752ef41cbfee1acaea

474886c5c43a6192db2708e664663542c2e39548

refs/heads/master

2023-08-19T14:10:10.494355

2021-09-16T20:26:50

290,560,326

1

0

null

UTF-8

Python

false

879

py

# """ # This is ArrayReader's API interface. # You should not implement it, or speculate about its implementation # """ # class ArrayReader(object): # def get(self, index): # """ # :type index: int # :rtype int # """ class Solution(object): def search(self, reader, target): """ :type reader: ArrayReader :type target: int :rtype: int """ kth = 1 while reader.get(kth - 1) < target: kth *= 2 left = 0 right = kth while left + 1 < right: mid = left + (right - left) // 2 if reader.get(mid) < target: left = mid else: right = mid if reader.get(left) == target: return left if reader.get(right) == target: return right return -1

[ "[email protected]" ]

[email protected]

fec9af424e5192af1a758a4184341390bd59a6f7

b47fb5884e25ec189ab123c620fc651702774e61

/assets/migrations/0001_initial.py

4c5e27db2ad79e50e511e7dbbf26e703ea3e135a

[]

no_license

cs4224485/CMDB

e4782ac81b8c8394a1445c4a9f85777f7859354d

41710e97fc79ae228f9f654fc5879910e91e1e25

refs/heads/master

2020-09-20T18:16:41.479379

2019-11-28T02:49:57

224,557,148

0

null

2019-11-28T02:52:40

2019-11-28T02:49:28

JavaScript

UTF-8

Python

false

19,877

py

# Generated by Django 2.1.1 on 2019-06-28 02:36 from django.conf import settings import django.contrib.auth.models from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('auth', '0009_alter_user_last_name_max_length'), ] operations = [ migrations.CreateModel( name='Asset', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('asset_type', models.CharField(choices=[('server', '服务器'), ('networkdevice', '网络设备'), ('storagedevice', '存储设备'), ('securitydevice', '安全设备'), ('securitydevice', '机房设备'), ('software', '软件资产')], default='server', max_length=64)), ('name', models.CharField(max_length=64, unique=True)), ('sn', models.CharField(max_length=128, unique=True, verbose_name='资产SN号')), ('management_ip', models.GenericIPAddressField(blank=True, null=True, verbose_name='管理IP')), ('trade_date', models.DateField(blank=True, null=True, verbose_name='购买时间')), ('expire_date', models.DateField(blank=True, null=True, verbose_name='过保修期')), ('price', models.FloatField(blank=True, null=True, verbose_name='价格')), ('status', models.SmallIntegerField(choices=[(0, '在线'), (1, '已下线'), (2, '未知'), (3, '故障'), (4, '备用')], default=0)), ('memo', models.TextField(blank=True, null=True, verbose_name='备注')), ('create_date', models.DateTimeField(auto_now_add=True)), ('update_date', models.DateTimeField(auto_now=True)), ], options={ 'verbose_name': '资产总表', 'verbose_name_plural': '资产总表', }, ), migrations.CreateModel( name='BusinessUnit', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=64, unique=True, verbose_name='业务线')), ('memo', models.CharField(blank=True, max_length=64, verbose_name='备注')), ('parent_unit', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='parent_level', to='assets.BusinessUnit')), ], options={ 'verbose_name': '业务线', 'verbose_name_plural': '业务线', }, ), migrations.CreateModel( name='Contract', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sn', models.CharField(max_length=128, unique=True, verbose_name='合同号')), ('name', models.CharField(max_length=64, verbose_name='合同名称')), ('memo', models.TextField(blank=True, null=True, verbose_name='备注')), ('price', models.IntegerField(verbose_name='合同金额')), ('detail', models.TextField(blank=True, null=True, verbose_name='合同详细')), ('start_date', models.DateField(blank=True)), ('end_date', models.DateField(blank=True)), ('license_num', models.IntegerField(blank=True, verbose_name='license数量')), ('create_date', models.DateField(auto_now_add=True)), ('update_date', models.DateField(auto_now=True)), ], options={ 'verbose_name': '合同', 'verbose_name_plural': '合同', }, ), migrations.CreateModel( name='CPU', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('cpu_model', models.CharField(blank=True, max_length=128, verbose_name='CPU型号')), ('cpu_count', models.SmallIntegerField(verbose_name='物理cpu个数')), ('cpu_core_count', models.SmallIntegerField(verbose_name='cpu核数')), ('memo', models.TextField(blank=True, null=True, verbose_name='备注')), ('create_date', models.DateTimeField(auto_now_add=True)), ('update_date', models.DateTimeField(blank=True, null=True)), ('asset', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], options={ 'verbose_name': 'CPU部件', 'verbose_name_plural': 'CPU部件', }, ), migrations.CreateModel( name='Disk', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sn', models.CharField(blank=True, max_length=128, null=True, verbose_name='SN号')), ('slot', models.CharField(max_length=64, verbose_name='插槽位')), ('model', models.CharField(blank=True, max_length=128, null=True, verbose_name='磁盘型号')), ('capacity', models.FloatField(verbose_name='磁盘容量GB')), ('iface_type', models.CharField(choices=[('SATA', 'SATA'), ('SAS', 'SAS'), ('SCSI', 'SCSI'), ('SSD', 'SSD')], default='SAS', max_length=64, verbose_name='接口类型')), ('memo', models.TextField(blank=True, null=True, verbose_name='备注')), ('create_date', models.DateTimeField(auto_now_add=True)), ('update_date', models.DateTimeField(blank=True, null=True)), ('asset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], options={ 'verbose_name': '硬盘', 'verbose_name_plural': '硬盘', }, ), migrations.CreateModel( name='EventLog', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=100, verbose_name='事件名称')), ('event_type', models.SmallIntegerField(choices=[(1, '硬件变更'), (2, '新增配件'), (3, '设备下线'), (4, '设备上线'), (5, '定期维护'), (6, '业务上线\\更新\\变更'), (7, '其它')], verbose_name='事件类型')), ('component', models.CharField(blank=True, max_length=255, null=True, verbose_name='事件子项')), ('detail', models.TextField(verbose_name='事件详情')), ('date', models.DateTimeField(auto_now_add=True, verbose_name='事件时间')), ('memo', models.TextField(blank=True, null=True, verbose_name='备注')), ('asset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], options={ 'verbose_name': '事件纪录', 'verbose_name_plural': '事件纪录', }, ), migrations.CreateModel( name='IDC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=64, unique=True, verbose_name='机房名称')), ('memo', models.CharField(blank=True, max_length=128, null=True, verbose_name='备注')), ], options={ 'verbose_name': '机房', 'verbose_name_plural': '机房', }, ), migrations.CreateModel( name='Manufactory', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('manufactory', models.CharField(max_length=64, unique=True, verbose_name='厂商名称')), ('support_num', models.CharField(blank=True, max_length=30, verbose_name='支持电话')), ('memo', models.CharField(blank=True, max_length=128, verbose_name='备注')), ], options={ 'verbose_name': '厂商', 'verbose_name_plural': '厂商', }, ), migrations.CreateModel( name='NetworkDevice', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sub_asset_type', models.SmallIntegerField(choices=[(0, '路由器'), (1, '交换机'), (2, '负载均衡'), (4, 'VPN设备')], default=0, verbose_name='网络设备类型')), ('vlan_ip', models.GenericIPAddressField(blank=True, null=True, verbose_name='VlanIP')), ('intranet_ip', models.GenericIPAddressField(blank=True, null=True, verbose_name='内网IP')), ('model', models.CharField(blank=True, max_length=128, null=True, verbose_name='型号')), ('firmware', models.CharField(blank=True, max_length=128, null=True, verbose_name='固件')), ('port_num', models.SmallIntegerField(blank=True, null=True, verbose_name='端口个数')), ('device_detail', models.TextField(blank=True, null=True, verbose_name='设置详细配置')), ('asset', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], options={ 'verbose_name': '网络设备', 'verbose_name_plural': '网络设备', }, ), migrations.CreateModel( name='NIC', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(blank=True, max_length=64, null=True, verbose_name='网卡名')), ('sn', models.CharField(blank=True, max_length=128, null=True, verbose_name='SN号')), ('model', models.CharField(blank=True, max_length=128, null=True, verbose_name='网卡型号')), ('macaddress', models.CharField(max_length=64, unique=True, verbose_name='MAC')), ('ipaddress', models.GenericIPAddressField(blank=True, null=True, verbose_name='IP')), ('netmask', models.CharField(blank=True, max_length=64, null=True)), ('bonding', models.CharField(blank=True, max_length=64, null=True)), ('memo', models.CharField(blank=True, max_length=128, null=True, verbose_name='备注')), ('create_date', models.DateTimeField(auto_now_add=True)), ('update_date', models.DateTimeField(blank=True, null=True)), ('asset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], options={ 'verbose_name': '网卡', 'verbose_name_plural': '网卡', }, ), migrations.CreateModel( name='RaidAdaptor', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sn', models.CharField(blank=True, max_length=128, null=True, verbose_name='SN号')), ('slot', models.CharField(max_length=64, verbose_name='插口')), ('model', models.CharField(blank=True, max_length=64, null=True, verbose_name='型号')), ('memo', models.TextField(blank=True, null=True, verbose_name='备注')), ('create_date', models.DateTimeField(auto_now_add=True)), ('update_date', models.DateTimeField(blank=True, null=True)), ('asset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], ), migrations.CreateModel( name='RAM', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sn', models.CharField(blank=True, max_length=128, null=True, verbose_name='SN号')), ('model', models.CharField(max_length=128, verbose_name='内存型号')), ('slot', models.CharField(max_length=64, verbose_name='插槽')), ('capacity', models.IntegerField(verbose_name='内存大小(MB)')), ('memo', models.CharField(blank=True, max_length=128, null=True, verbose_name='备注')), ('create_date', models.DateTimeField(auto_now_add=True)), ('update_date', models.DateTimeField(blank=True, null=True)), ('asset', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], options={ 'verbose_name': 'RAM', 'verbose_name_plural': 'RAM', }, ), migrations.CreateModel( name='SecurityDevice', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sub_asset_type', models.SmallIntegerField(choices=[(0, '防火墙'), (1, '入侵检测设备'), (2, '互联网网关'), (4, '运维审计系统')], default=0, verbose_name='服务器类型')), ('asset', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ], ), migrations.CreateModel( name='Server', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sub_asset_type', models.SmallIntegerField(choices=[(0, 'PC服务器'), (1, '刀片机'), (2, '小型机')], default=0, verbose_name='服务器类型')), ('created_by', models.CharField(choices=[('auto', 'Auto'), ('manual', 'Manual')], default='auto', max_length=32)), ('model', models.CharField(blank=True, max_length=128, null=True, verbose_name='型号')), ('raid_type', models.CharField(blank=True, max_length=512, null=True, verbose_name='raid类型')), ('os_type', models.CharField(blank=True, max_length=64, null=True, verbose_name='操作系统类型')), ('os_distribution', models.CharField(blank=True, max_length=64, null=True, verbose_name='发型版本')), ('os_release', models.CharField(blank=True, max_length=64, null=True, verbose_name='操作系统版本')), ('asset', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, to='assets.Asset')), ('hosted_on', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, related_name='hosted_on_server', to='assets.Server')), ], options={ 'verbose_name': '服务器', 'verbose_name_plural': '服务器', }, ), migrations.CreateModel( name='Software', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('sub_asset_type', models.SmallIntegerField(choices=[(0, 'OS'), (1, '办公\\开发软件'), (2, '业务软件')], default=0, verbose_name='服务器类型')), ('license_num', models.IntegerField(verbose_name='授权数')), ('version', models.CharField(help_text='eg. CentOS release 6.5 (Final)', max_length=64, unique=True, verbose_name='软件/系统版本')), ], options={ 'verbose_name': '软件/系统', 'verbose_name_plural': '软件/系统', }, ), migrations.CreateModel( name='Tag', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=32, unique=True, verbose_name='Tag name')), ('create_date', models.DateField(auto_now_add=True)), ], ), migrations.CreateModel( name='UserProfile', fields=[ ('user_ptr', models.OneToOneField(auto_created=True, on_delete=django.db.models.deletion.CASCADE, parent_link=True, primary_key=True, serialize=False, to=settings.AUTH_USER_MODEL)), ('name', models.CharField(max_length=32, verbose_name='姓名')), ], options={ 'verbose_name': 'user', 'verbose_name_plural': 'users', 'abstract': False, }, bases=('auth.user',), managers=[ ('objects', django.contrib.auth.models.UserManager()), ], ), migrations.AddField( model_name='tag', name='creator', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='assets.UserProfile'), ), migrations.AddField( model_name='eventlog', name='user', field=models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='assets.UserProfile', verbose_name='事件源'), ), migrations.AddField( model_name='asset', name='admin', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='assets.UserProfile', verbose_name='资产管理员'), ), migrations.AddField( model_name='asset', name='business_unit', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='assets.BusinessUnit', verbose_name='所属业务线'), ), migrations.AddField( model_name='asset', name='contract', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='assets.Contract', verbose_name='合同'), ), migrations.AddField( model_name='asset', name='idc', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='assets.IDC', verbose_name='IDC机房'), ), migrations.AddField( model_name='asset', name='manufactory', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='assets.Manufactory', verbose_name='制造商'), ), migrations.AddField( model_name='asset', name='tags', field=models.ManyToManyField(blank=True, to='assets.Tag'), ), migrations.AlterUniqueTogether( name='ram', unique_together={('asset', 'slot')}, ), migrations.AlterUniqueTogether( name='raidadaptor', unique_together={('asset', 'slot')}, ), migrations.AlterUniqueTogether( name='nic', unique_together={('asset', 'macaddress')}, ), migrations.AlterUniqueTogether( name='disk', unique_together={('asset', 'slot')}, ), ]

[ "[email protected]" ]

[email protected]

0242ad91656a9be579908b441d9b94af3542b343

ef821468b081ef2a0b81bf08596a2c81e1c1ef1a

/Programming Basics/Nested_Loops-LAB/Cinema_Tickets.py

7dae726c936e27321845167e1b72d8edcf1c7c38

[]

no_license

Ivaylo-Atanasov93/The-Learning-Process

71db22cd79f6d961b9852f140f4285ef7820dd80

354844e2c686335345f6a54b3af86b78541ed3f3

refs/heads/master

2023-03-30T20:59:34.304207

2021-03-29T15:23:05

294,181,544

0

null

UTF-8

Python

false

1,362

py

movie = '' free_seats = 0 ticket_type = '' sold_seats = 0 student = 0 standard = 0 kids = 0 total_tickets = 0 flag = False while not flag: movie = input() if movie == 'Finish': break free_seats = int(input()) while ticket_type != 'End': ticket_type = input() if ticket_type == 'student': student += 1 sold_seats += 1 total_tickets += 1 elif ticket_type == 'standard': standard += 1 sold_seats += 1 total_tickets += 1 elif ticket_type == 'kid': kids += 1 sold_seats += 1 total_tickets += 1 elif ticket_type == 'End': print(f'{movie} - {(sold_seats / free_seats) * 100:.2f}% full.') elif ticket_type == 'Finish': print(f'{movie} - {(sold_seats / free_seats) * 100:.2f}% full.') flag = True break if sold_seats == free_seats: print(f'{movie} - {(sold_seats / free_seats) * 100:.2f}% full.') break sold_seats = 0 ticket_type = '' if flag: break print(f'Total tickets: {total_tickets}') print(f'{(student / total_tickets) * 100:.2f}% student tickets.') print(f'{(standard / total_tickets) * 100:.2f}% standard tickets.') print(f'{(kids / total_tickets) * 100:.2f}% kids tickets.')

[ "[email protected]" ]

[email protected]

6b9966fd76928a69a7d63ecd8c2b9856b2bfa4c9

a46825af0830a0f84f426547fba1b1f45fb97b3f

/backend/apps/area/urls.py

ce30e18f5bcb945d04fae1d297b2a0b9a011ea19

[]

no_license

szshysj/Digital_marketing_web

47544c7b9e0c425a78b0d51195ac245fdaef0503

86b31f261158b4c8d130c64ae7e573b8316c8bc4

refs/heads/master

2020-08-29T21:26:23.402279

2020-03-18T07:55:27

218,178,158

0

null

2019-12-05T10:16:02

2019-10-29T01:26:07

Vue

UTF-8

Python

false

313

py

#!/usr/bin/python3 # -*- coding: utf-8 -*- # @Time : 2019/10/14 23:28 # @Author : 孔祥旭 # @Email : [email protected] / [email protected] from tornado.web import url from apps.area.handler import GetAreaHandler urlpatten = [ # 获取所有可投放地域列表 url('/get/area/', GetAreaHandler) ]

[ "[email protected]" ]

[email protected]

2d322f049fa8f8f91dfb80709a634df823f3de47

26f6313772161851b3b28b32a4f8d255499b3974

/Python/RelativeRanks.py

d749965e66f0cfbeff330cd167f3bbe034cf128d

[]

no_license

here0009/LeetCode

693e634a3096d929e5c842c5c5b989fa388e0fcd

f96a2273c6831a8035e1adacfa452f73c599ae16

refs/heads/master

2023-06-30T19:07:23.645941

2021-07-31T03:38:51

266,287,834

1

0

null

UTF-8

Python

false

1,254

py

""" Given scores of N athletes, find their relative ranks and the people with the top three highest scores, who will be awarded medals: "Gold Medal", "Silver Medal" and "Bronze Medal". Example 1: Input: [5, 4, 3, 2, 1] Output: ["Gold Medal", "Silver Medal", "Bronze Medal", "4", "5"] Explanation: The first three athletes got the top three highest scores, so they got "Gold Medal", "Silver Medal" and "Bronze Medal". For the left two athletes, you just need to output their relative ranks according to their scores. Note: N is a positive integer and won't exceed 10,000. All the scores of athletes are guaranteed to be unique. """ class Solution: def findRelativeRanks(self, scores): """ :type nums: List[int] :rtype: List[str] """ medals = ["Gold Medal", "Silver Medal", "Bronze Medal"] sorted_scores_dict = {} for order,score in enumerate(sorted(scores, reverse = True)): if order <= 2: sorted_scores_dict[score] = medals[order] else: sorted_scores_dict[score] = str(order + 1) res = [sorted_scores_dict[score] for score in scores] return res s = Solution() scores = [5, 4, 3, 2, 1] print(s.findRelativeRanks(scores))

[ "[email protected]" ]

[email protected]

a5d7d1e55d35d5dc95e02c6e501613df521f4fb6

3873b03ac81354d4ed24e94df5fa8429e726bbd2

/titles/101. 对称二叉树.py

9236ac01422c19b4ad9190406e21e379f2b5f6e8

[]

no_license

lichangg/myleet

27032f115597481b6c0f3bbe3b83e80b34c76365

3d5a96d896ede3ea979783b8053487fe44e38969

refs/heads/master

2023-03-21T15:50:14.128422

2021-03-16T09:58:07

286,616,721

1

0

null

UTF-8

Python

false

1,428

py

#!/usr/bin/env python # -*- coding:utf-8 -*- from utils.util_funcs import Tree # 这个测试用例[1,2,2,None,3,None,3]过不了,本地能过 # class Solution: FLAG=True def isSymmetric(self, root) -> bool: l = root.left r = root.right stack = [l,r] while stack and all(stack): nums = [] for i in stack: nums.append(i.val) mid=int(len(nums)/2) if nums[:mid]!=nums[mid:][::-1]: Solution.FLAG = False break temp = [] for j in stack: if j: temp.append(j.left) temp.append(j.right) stack = temp return Solution.FLAG # 二刷,层序遍历 class Solution: def isSymmetric(self, root) -> bool: def is_symmetric(nums): return nums == nums[::-1] stack = [root] while stack: res = [] temp = [] for i in stack: if i: res.append(i.val) temp.append(i.left) temp.append(i.right) else:res.append(None) flag = is_symmetric(res) if not flag: return False stack = temp return True t=Tree() [t.add(i)for i in [1,2,2,None,3,None,3]] a=Solution().isSymmetric(t.root) print(a)

[ "[email protected]" ]

[email protected]

d7cf184777adc0f7980c16fcc2f6eabb750712be

6c14069181f313e84eeb524dd495e3882156ef50

/samples/basic/crud/models/cisco-ios-xr/Cisco-IOS-XR-mpls-ldp-oper/nc-read-xr-mpls-ldp-oper-10-ydk.py

1e872ab64c188f2aa654c40dc1d1d96d25dd113a

[ "Apache-2.0" ]

permissive

decolnz/ydk-py-samples

dde0fd64fd4df12a215588766a0f1fb8baf07fcd

7fa3f53c4d458c3332d372fb2fe3c46c5e036f07

refs/heads/master

2021-01-19T03:24:19.877929

2017-04-04T17:16:46

87,310,389

1

0

null

2017-04-05T13:06:57

null

UTF-8

Python

false

2,714

py

#!/usr/bin/env python # # Copyright 2016 Cisco Systems, Inc. # # 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. # """ Read all data for model Cisco-IOS-XR-mpls-ldp-oper. usage: nc-read-xr-mpls-ldp-oper-10-ydk.py [-h] [-v] device positional arguments: device NETCONF device (ssh://user:password@host:port) optional arguments: -h, --help show this help message and exit -v, --verbose print debugging messages """ from argparse import ArgumentParser from urlparse import urlparse from ydk.services import CRUDService from ydk.providers import NetconfServiceProvider from ydk.models.cisco_ios_xr import Cisco_IOS_XR_mpls_ldp_oper \ as xr_mpls_ldp_oper import logging def process_mpls_ldp(mpls_ldp): """Process data in mpls_ldp object.""" pass if __name__ == "__main__": """Execute main program.""" parser = ArgumentParser() parser.add_argument("-v", "--verbose", help="print debugging messages", action="store_true") parser.add_argument("device", help="NETCONF device (ssh://user:password@host:port)") args = parser.parse_args() device = urlparse(args.device) # log debug messages if verbose argument specified if args.verbose: logger = logging.getLogger("ydk") logger.setLevel(logging.DEBUG) handler = logging.StreamHandler() formatter = logging.Formatter(("%(asctime)s - %(name)s - " "%(levelname)s - %(message)s")) handler.setFormatter(formatter) logger.addHandler(handler) # create NETCONF provider provider = NetconfServiceProvider(address=device.hostname, port=device.port, username=device.username, password=device.password, protocol=device.scheme) # create CRUD service crud = CRUDService() mpls_ldp = xr_mpls_ldp_oper.MplsLdp() # create object # read data from NETCONF device # mpls_ldp = crud.read(provider, mpls_ldp) process_mpls_ldp(mpls_ldp) # process object data provider.close() exit() # End of script

[ "[email protected]" ]

[email protected]

a406e2a620162230e1e7cc273a3998b61cf94a92

74926d4145b9cd91bd040a7887d6baef838865d3

/autoencoder/metrics.py

3ad28ecd5bf3da0615cf6a06bd1ac56acd7e6403

[ "MIT" ]

permissive

Elaine0/Anomaly-Detection

3837b602c6c8ba12fb2df7170292ebded893bbe0

45ab34235fd865006292a6645bbf2fc8bed9e959

refs/heads/master

2023-06-16T16:27:12.675954

2021-07-13T09:06:19

282,931,372

0

null

2020-07-27T15:02:17

null

UTF-8

Python

false

455

py

import tensorflow as tf from tensorflow import keras import keras.backend as K def ssim_metric(dynamic_range): def ssim(imgs_true, imgs_pred): return K.mean(tf.image.ssim(imgs_true, imgs_pred, dynamic_range), axis=-1) return ssim def mssim_metric(dynamic_range): def mssim(imgs_true, imgs_pred): return K.mean( tf.image.ssim_multiscale(imgs_true, imgs_pred, dynamic_range), axis=-1 ) return mssim

[ "[email protected]" ]

[email protected]

c5b06264124b13023d9bd904c223f6a20f2da8ab

d49cfe38764aa35992ba5cf65655a6a45d9487c8

/旋转图像.py

1660cfd80a5903f2b51d956378ca51aa57d5f90a

[]

no_license

getabear/leetcode

fc0797f664ab4052aa2635341f4bbe40b74ec2b8

4af6608166f2e4cdfcfb0bbb92133b4a0f90ea34

refs/heads/master

2021-07-15T11:05:23.049235

2020-11-15T12:57:14

224,601,175

0

null

UTF-8

Python

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415

py

from typing import List class Solution: def rotate(self, matrix: List[List[int]]) -> None: if not matrix: return m,n=len(matrix),len(matrix[0]) dp=[[0]*n for _ in range(m)] for h in range(m): for x in range(n): dp[x][m-h-1]=matrix[h][x] matrix[:]=dp[:] return a=Solution() matrix=[[1,2,3],[4,5,6],[7,8,9]] a.rotate(matrix)

[ "[email protected]" ]

[email protected]

e97231aa59386188f10462edf9ebb223d62915b0

7d99c16d3222dd09d2358dac17d693deb7ed8dfd

/mwk_converters/mwk_to_sqlite3.py

a662445947c9bf94dfd56abd7f356d3172ba54b1

[]

no_license

afcarl/mw_data_analysis_helpers

55c287daa06ef398e25ee9a8ecb290fc1f58c4dc

88e8eaae3b26f2ce7c482585414340c8e59f6ed2

refs/heads/master

2020-03-17T14:56:10.483526

2011-07-26T17:50:01

null

0

null

UTF-8

Python

false

3,031

py

#!/usr/bin/env python import logging, os, sys import sqlite3 import json #import mwk import mworks.data as mwk def mwk_to_sqlite3(inFile, outFile, blacklist=[]): m = mwk.MWKFile(inFile) m.open() # fix codec codec = m.codec codec[0], codec[1], codec[2], codec[3] = ('#codec', '#systemEvent', '#components', '#termination') revCodec = {} for k,v in codec.iteritems(): revCodec[v] = k evs = m.get_events() # open sqlite3 database logging.debug("opening sqlite3 database: %s" % outFile) conn = sqlite3.connect(outFile) c = conn.cursor() # # make table to add to data files table # logging.debug("adding information to db") # c.execute('''create table datafiles # (animal text, day text)''') # make table for new data # tableName = os.path.splitext(os.path.basename(inFile))[0] # cmd = "create table %s (code int, time int, value text)" % tableName # c.execute(cmd) c.execute('''create table events (code int, time int, value text)''') # make table for codec # codecTableName = "%s_codec" % tableName # cmd = "create table %s (code int, name text)" % codecTableName # c.execute(cmd) c.execute('''create table codec (code int, name text)''') # # add information to datafiles table # animal = tableName.split('_')[0].lower() # day = tableName.split('_')[1] # c.execute('''insert into datafiles # values(?,?)''', (animal, day)) # add codec to database #codec = m.codec # cmd = "insert into %s values(?,?)" % codecTableName for (k,v) in codec.iteritems(): # c.execute(cmd,(k,v)) c.execute('''insert into codec values (?,?)''',(k,v)) # add events to database logging.debug("adding events to db") # cmd = "insert into %s values(?,?,?)" % tableName for e in evs: if codec[e.code] in blacklist: continue # c.execute(cmd, (e.code, e.time, json.dumps(e.value))) c.execute('''insert into events values(?,?,?)''', (e.code, e.time, json.dumps(e.value))) logging.debug("cleaning up") # close database connection conn.commit() c.close() # close mworks file m.close() if __name__ == '__main__': logging.basicConfig(level=logging.DEBUG) eventsBlacklist = ['#announceCurrentState','#codec', '#systemEvent', '#components', '#termination'] # not implemented # parse command line arguments logging.debug("Parsing command line arguments") if len(sys.argv) == 3: inFile = sys.argv[1] outFile = sys.argv[2] elif len(sys.argv) == 2: inFile = sys.argv[1] outFile = '%s.sqlite3' % os.path.splitext(os.path.basename(inFile))[0] else: print "Usage: %s input_mwk_file (output_sqlite3_file)" % __file__ sys.exit(1) # open up and read mwks file logging.debug("opening and reading mwks file: %s" % inFile) mwk_to_sqlite3(inFile, outFile, eventsBlacklist) # exit nicely sys.exit(0)

[ "[email protected]" ]

[email protected]

30d71a0f811024388f46fa160a7fb991a7429ec3

76e9afdf16eabcc9e1a3facd308e56362112efc4

/20210222_ls/auto_chmod.py

84ae38d02246d5ec3b8c66e17a9fcebb764dc397

[]

no_license

rerejii/pwb_work_2021

c65c5e787ad98b7d847cb63ebadc24a02f001e90

8ecfb2a98d9d396ed505ecc939e384cf6400412d

refs/heads/main

2023-03-30T10:43:18.115386

2021-03-24T05:38:41

350,954,969

0

null

UTF-8

Python

false

166

py

import time import sys import os # args = sys.argv path = '/nas-homes/krlabmember/hayakawa/binary/20210115' while True: os.chmod(path, 0o755) time.sleep(10)

[ "[email protected]" ]

[email protected]

7cd8898e0e3005975525306f1622e0d54d94136b

e23a4f57ce5474d468258e5e63b9e23fb6011188

/140_gui/pyqt_pyside/examples/PyQt5/Chapter13_Running Python Scripts on Android and iOS/demoMultipleSelection.py

96a2d86b0e8e60e19544ee49d3e46b244fb8b9fb

[]

no_license

syurskyi/Python_Topics

52851ecce000cb751a3b986408efe32f0b4c0835

be331826b490b73f0a176e6abed86ef68ff2dd2b

refs/heads/master

2023-06-08T19:29:16.214395

2023-05-29T17:09:11

220,583,118

3

2

null

2023-02-16T03:08:10

2019-11-09T02:58:47

Python

UTF-8

Python

false

573

py

import android app = android.Android() app.dialogCreateAlert("Select your food items") app.dialogSetMultiChoiceItems(['Pizza', 'Burger', 'Hot Dog']) app.dialogSetPositiveButtonText('Done') app.dialogShow() app.dialogGetResponse() response = app.dialogGetSelectedItems() print(response) selectedResult=response[1] n=len(selectedResult) print("You have selected following food items: ") for i in range(0, n): if selectedResult[i]==0: print("Pizza") elif selectedResult[i]==1: print("Burger") elif selectedResult[i]==2: print("Hot Dog")

[ "[email protected]" ]

[email protected]

a3976a033b050da9d584f2ee555049bc57e48660

5fe194b477ba8af8acc846db2dfc961ad2a57013

/.metadata/.plugins/org.eclipse.core.resources/.history/5/c0e3511f98fb001611e7bcc2e467e756

55afe0616ecc9457ecdb14d257b97cdcb7536b33

[]

no_license

robotanica/ExcavatorROS

6a129e302f0a288d198e3f720a78610e6333f7d3

db0bdf0f9988ebf910f832e22f46f679e936cdcb

refs/heads/master

2023-03-17T23:49:58.762691

2017-09-29T16:31:33

null

0

null

UTF-8

Python

false

1,974

#!/usr/bin/python ''' Created on Feb 21, 2017 @author: yutak ''' import rospy import sensor_msgs.msg as smsg import exp_excavator.msg as cmsg class JoyMsgManager: def __init__(self): rospy.init_node('joy_msg_manager', anonymous=True) self.test = rospy.get_param('~test', False) self.joy_val_msg = cmsg.JointValues() self.joy_val_msg.boom = 0.0 self.joy_val_msg.arm = 0.0 self.joy_val_msg.bucket = 0.0 self.joy_val_msg.swing = 0.0 self.sub_spd_com_bucket = rospy.Subscriber('joy_right', smsg.Joy, self.cb_joy_right) self.sub_joy_left = rospy.Subscriber('joy_left', smsg.Joy, self.cb_joy_left) self.pub_joy_values = rospy.Publisher('joy_values', cmsg.JointValues, queue_size= 10) def cb_joy_right(self, joy): self.joy_val_msg.boom = joy.axes[1] self.joy_val_msg.bucket = joy.axes[0] if self.test: rospy.loginfo('Boom Joystick Value:%f' %self.joy_val_msg.boom) rospy.loginfo('Bucket Joystick Value:%f' %self.joy_val_msg.bucket) self.pub_joy_values.publish(self.joy_val_msg) def cb_joy_left(self, joy): self.joy_val_msg.arm = joy.axes[1] self.joy_val_msg.swing = joy.axes[0] if self.test: rospy.loginfo('Arm Joystick Value:%f' %self.joy_val_msg.arm) rospy.loginfo('Swing Joystick Value:%f' %self.joy_val_msg.swing) self.pub_joy_values.publish(self.joy_val_msg) if __name__ == '__main__': jm = JoyMsgManager() try: rospy.spin() except rospy.ROSInterruptException: pass

[ "[email protected]" ]

[email protected]

44260eaf54611020edd327e194c75925b182f899

d1a5e15463623d75560659481e8277a516a8e280

/Website_Project/mysite/account/views.py

c6f37f13125fb41f2acb3bc18dc0c8c6497fd11f

[]

no_license

LeeSungRyul/KD_AI

fac54863d6eb49fa8fe96dbb700e9279d2a1f0fb

560e4c2e777ab5f5ee6a2a31f17372f58ea483ef

refs/heads/master

2023-06-27T00:06:47.433793

2021-07-27T14:59:25

339,369,278

0

1

null

UTF-8

Python

false

2,931

py

from django.shortcuts import render, redirect from django.http import HttpResponse from django.contrib.auth.hashers import make_password, check_password from .models import Account # Create your views here. def register(request): # 회원가입 페이지를 보여주기 위한 함수 if request.method == "GET": return render(request, 'register.html') elif request.method == "POST": userID = request.POST.get('userID', None) # 딕셔너리형태 userPW = request.POST.get('userPW', None) re_password = request.POST.get('re_password', None) userMail = request.POST.get('userMail', None) userPhone = request.POST.get('userPhone', None) res_data = {} if not (userID and userPW and re_password and userMail and userPhone): res_data['error'] = "All values must be entered." return render(request, 'register.html', res_data) if userPW != re_password: # return HttpResponse('비밀번호가 다릅니다.') res_data['error'] = 'Confirm password does not match.' return render(request, 'register.html', res_data) else: account = Account(userID=userID, userPW=make_password(userPW), userMail=userMail, userPhone=userPhone) account.save() return redirect('/login/') # register를 요청받으면 register.html 로 응답. return render(request, 'register.html') # res_data: html 파일에서 {{error}}와 맵핑되어 처리. 즉, if문에서 걸리면 뒤의 문자열이 출력 def login(request): response_data = {} if request.method == "GET": return render(request, 'login.html') elif request.method == "POST": if '_login' in request.POST: login_userID = request.POST.get('userID', None) login_userPW = request.POST.get('userPW', None) # 아이디와 PW 중 어느 하나라도 입력되지 않은 경우 if not (login_userID and login_userPW): response_data['error'] = "All values must be entered." else: account = Account.objects.get(userID=login_userID) # db에서 꺼내는 명령. Post로 받아온 userID로 , db의 userID을 꺼내온다. if check_password(login_userPW, account.userPW): request.session['account'] = account.userID # 세션도 딕셔너리 변수 사용과 똑같이 사용하면 된다. # 세션 account라는 key에 방금 로그인한 id를 저장한것. return redirect('/') # 로그인 된 홈 화면 이동 else: response_data['error'] = "Invalid username or password." return render(request, 'login.html', response_data) elif '_register' in request.POST: return redirect('/login/register/')

[ "[email protected]" ]

[email protected]

f8720cb40162973a04d2461826c550fb6a66e68e

9672e0b45f72261c069aa8140a01e861b8f8db45

/query/migrations/0005_auto_20150526_1736.py

970fbb78131ebda45f4baae6af990612482e6cf4

[]

no_license

KeleiAzz/SCRC_server

40882c0d5804b0488dd31f4d4db353616d318e48

669d45e4d5059cfc766a2a0852d23522d2af7d84

refs/heads/master

2020-04-06T10:18:40.817298

2016-12-04T06:07:53

35,839,109

0

null

UTF-8

Python

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4,782

py

# -*- coding: utf-8 -*- from __future__ import unicode_literals from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('query', '0004_evidence'), ] operations = [ migrations.AlterField( model_name='evidence', name='h1', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h10', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h11', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h12', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h13', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h14', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h15', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h16', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h17', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h18', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h19', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h2', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h20', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h21', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h22', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h23', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h3', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h4', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h5', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h6', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h7', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h8', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), migrations.AlterField( model_name='evidence', name='h9', field=models.IntegerField(blank=True, null=True), preserve_default=True, ), ]

[ "[email protected]" ]

[email protected]

0d5d76ef5b074b1347fd493018487bfa5c02aa7b

0019ea5621577ab9a9a694e3ef91d913e981a28e

/dataset_builder/feature_extractor/test_sub2vec_model_creator.py

ee9c0388664fcada20f99ab062229fd46de862ec

[]

no_license

sungc1/fake-news-framework_Py3

676710b3bf7b8feb4c237ffed7d1d280f4967890

e3552b5bc2a30dbd52ad893ce8dd29aa2242f864

refs/heads/main

2023-01-19T23:42:13.294446

2020-12-01T18:38:31

428,178,049

1

0

null

2021-11-15T08:18:23

null

UTF-8

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9,808

py

import random from unittest import TestCase import networkx as nx import pandas as pd import numpy as np from DB.schema_definition import DB, AuthorConnection, Author, Post from dataset_builder.feature_extractor.sub2vec_model_creator import Sub2VecModelCreator from dataset_builder.sub2vec_feature_generator import Sub2VecFeatureGenerator class TestSub2VecModelCreator(TestCase): @classmethod def setUpClass(cls): """ get_some_resource() is slow, to avoid calling it for each test use setUpClass() and store the result as class variable """ super(TestSub2VecModelCreator, cls).setUpClass() cls._db = DB() cls._db.setUp() cls.sub2vec_model_creator = Sub2VecModelCreator(cls._db) cls.sub2vec_feature_generator = Sub2VecFeatureGenerator(cls._db, **{'authors': [], 'posts': {}}) edges = [(0, 4), (2, 0), (1, 3), (3, 1), (0, 1), (1, 2), (4, 0), (4, 3), (2, 3), (3, 0)] cls.connected_undirected_graph = cls.create_undirected_graph(5, edges, 'connected_undirected_graph') cls.unconnected_directed_graph = cls.connected_directed_graph(7, edges, 'unconnected_directed_graph') cls.connected_directed_graph = cls.connected_directed_graph(5, edges, 'connected_directed_graph') cls.unconnected_undirected_graph = cls.create_undirected_graph(7, edges, 'unconnected_undirected_graph') cls.add_graph_to_db(cls.connected_undirected_graph) cls.add_graph_to_db(cls.unconnected_directed_graph) cls.add_graph_to_db(cls.connected_directed_graph) cls.add_graph_to_db(cls.unconnected_undirected_graph) @classmethod def add_graph_to_db(cls, graph): post = Post(post_id=str(graph.graph['name']), domain='flickr', post_osn_id=str(graph.graph['name'])) post.post_type = 'labels' author_connections = [] for edge in graph.edges(): author_connections.append(AuthorConnection(source_author_guid=edge[0], destination_author_guid=edge[1], connection_type=graph.graph['name'])) authors = [] for node in graph.nodes(): authors.append(Author(name=str(node), domain=str(graph.graph['name']), author_guid=str(node))) cls._db.addPosts([post]) cls._db.addPosts(author_connections) cls._db.addPosts(authors) @classmethod def create_undirected_graph(cls, nodes_count, edges, graph_name): graph = nx.Graph() return cls.build_graph(edges, graph, graph_name, nodes_count) @classmethod def connected_directed_graph(cls, nodes_count, edges, graph_name): graph = nx.DiGraph() return cls.build_graph(edges, graph, graph_name, nodes_count) @classmethod def build_graph(cls, edges, graph, graph_name, nodes_count): graph.add_nodes_from(range(nodes_count)) graph.add_edges_from(edges) # nx.set_node_attributes(graph, {}, 'label') nx.set_node_attributes(graph, values={}, name='label') graph.graph['name'] = graph_name return graph def setUp(self): random.seed(900) def assertArrayEquals(self, actual_vector, expected_vector): for actual_value, expected_value in zip(actual_vector, expected_vector): self.assertAlmostEqual(actual_value, expected_value, places=7) def test_generate_structural_embedding_for_connected_undirected_graph(self): args = {'dimensions': 128, 'window': 2, 'walkLength': 1000, 'iterations': 20, 'alpha': 0.5, 'dm': 1, 'wl_iterations': 2, 'randomWalkCount': 10} embeddings = self.sub2vec_model_creator.graph_structural_embedding([self.connected_undirected_graph], **args) self.assertEqual(len(embeddings), 1) self.assertEqual(len(embeddings[0]), 128) actual_vector = np.array((embeddings[0])) self.assertTrue(any(actual_vector)) def test_generate_structural_embedding_for_unconnected_undirected_graph(self): args = {'dimensions': 138, 'window': 2, 'walkLength': 100, 'iterations': 20, 'alpha': 0.5, 'dm': 1, 'randomWalkCount': 10} embeddings = self.sub2vec_model_creator.graph_structural_embedding([self.unconnected_undirected_graph], **args) self.assertEqual(len(embeddings), 1) self.assertEqual(len(embeddings[0]), 138) actual_vector = np.array((embeddings[0])) self.assertTrue(any(actual_vector)) def test_generate_structural_embedding_for_connected_directed_graph(self): args = {'dimensions': 138, 'window': 2, 'walkLength': 30, 'iterations': 20, 'alpha': 0.5, 'dm': 1, 'randomWalkCount': 10} embeddings = self.sub2vec_model_creator.graph_structural_embedding([self.connected_directed_graph], **args) self.assertEqual(len(embeddings), 1) self.assertEqual(len(embeddings[0]), 138) actual_vector = np.array((embeddings[0])) self.assertTrue(any(actual_vector)) def test_generate_structural_embedding_for_unconnected_directed_graph(self): args = {'dimensions': 138, 'window': 2, 'walkLength': 40, 'iterations': 20, 'alpha': 0.5, 'dm': 1, 'randomWalkCount': 10} embeddings = self.sub2vec_model_creator.graph_structural_embedding([self.unconnected_directed_graph], **args) self.assertEqual(len(embeddings), 1) self.assertEqual(len(embeddings[0]), 138) actual_vector = np.array((embeddings[0])) self.assertTrue(any(actual_vector)) def test_generate_structural_embedding_for_4_graphs(self): args = {'dimensions': 118, 'window': 2, 'walkLength': 40, 'iterations': 20, 'alpha': 0.5, 'dm': 1, 'randomWalkCount': 10} graphs = [self.unconnected_directed_graph, self.connected_undirected_graph, self.unconnected_undirected_graph, self.connected_directed_graph] embeddings = self.sub2vec_model_creator.graph_structural_embedding(graphs, **args) self.assertEqual(len(embeddings), 4) self.assertEqual(len(embeddings[0]), 118) self.assertEqual(len(embeddings[1]), 118) self.assertEqual(len(embeddings[2]), 118) self.assertEqual(len(embeddings[3]), 118) self.assertTrue(any(np.array((embeddings[0])))) self.assertTrue(any(np.array((embeddings[1])))) self.assertTrue(any(np.array((embeddings[2])))) self.assertTrue(any(np.array((embeddings[3])))) def test_generate_author_features_from_sub2vec(self): dimensions = 118 args = {'dimensions': dimensions, 'window': 2, 'walkLength': 40, 'iterations': 20, 'alpha': 0.5, 'dm': 1, 'randomWalkCount': 10} graphs = [self.unconnected_directed_graph, self.connected_undirected_graph, self.unconnected_undirected_graph, self.connected_directed_graph] embeddings = self.sub2vec_model_creator.graph_structural_embedding(graphs, **args) authors_features = self.sub2vec_model_creator.convert_embedding_to_author_features(graphs, embeddings) self.assertEqual(len(authors_features), 4 * dimensions) for graph, embedding in zip(graphs, embeddings): actual = [f.attribute_value for f in authors_features if f.author_guid == graph.graph['name']] self.assertArrayEquals(actual, embedding) def test_load_graphs(self): graphs = self.sub2vec_model_creator.load_graphs() expected_graphs = [self.unconnected_directed_graph, self.connected_undirected_graph, self.unconnected_undirected_graph, self.connected_directed_graph] expected_graph_map = {expected_graph.graph['name']: expected_graph for expected_graph in expected_graphs} for actual_graph in graphs: expected_graph = expected_graph_map[actual_graph.graph['name']] self.assertNodes(actual_graph, expected_graph) self.assertEdges(actual_graph, expected_graph) pass def test_execute(self): graphs = self.sub2vec_model_creator.load_graphs() self.sub2vec_model_creator.execute() embedding_table_name = self.sub2vec_model_creator._table_name df = pd.read_sql_table(embedding_table_name, self._db.engine) self.assertTupleEqual(df.shape, (len(graphs), self.sub2vec_model_creator._num_of_dimensions + 1)) pass def test_sub2vec_feature_generator(self): self.sub2vec_model_creator.execute() self.sub2vec_feature_generator.execute() graphs = [self.unconnected_directed_graph, self.connected_undirected_graph, self.unconnected_undirected_graph, self.connected_directed_graph] for graph in graphs: actual_dimensions_count = len(self._db.get_author_features_by_author_guid(graph.graph['name'])) self.assertEqual(actual_dimensions_count, self.sub2vec_model_creator._num_of_dimensions) def assertEdges(self, actual_graph, expected_graph): edges = [(int(v), int(u)) for v, u in actual_graph.edges()] self.assertListEqual(list(sorted(expected_graph.edges())), list(sorted(edges))) def assertNodes(self, actual_graph, expected_graph): self.assertListEqual(list(expected_graph.nodes()), list(sorted(map(int, actual_graph.nodes()))))

[ "[email protected]" ]

[email protected]

1049caf450a5e4ca1eedc4aec81d6fe28ca216eb

bca6e5728aa041d348482e4265fd2c6f1f4a67d3

/ucsmsdk/mometa/storage/StorageSasPort.py

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[ "Apache-2.0" ]

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psterdale/ucsmsdk

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refs/heads/master

2020-12-03T08:11:54.382427

2017-06-28T12:46:52

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"""This module contains the general information for StorageSasPort ManagedObject.""" from ...ucsmo import ManagedObject from ...ucscoremeta import MoPropertyMeta, MoMeta from ...ucsmeta import VersionMeta class StorageSasPortConsts: LC_ALLOCATED = "allocated" LC_AVAILABLE = "available" LC_DEALLOCATED = "deallocated" LC_REPURPOSED = "repurposed" LINK_SPEED_1_5_GBPS = "1-5-gbps" LINK_SPEED_12_GBPS = "12-gbps" LINK_SPEED_3_GBPS = "3-gbps" LINK_SPEED_6_GBPS = "6-gbps" LINK_SPEED_DISABLED = "disabled" LINK_SPEED_DOWN = "down" LINK_SPEED_HOST_POWER_OFF = "host-power-off" LINK_SPEED_UNKNOWN = "unknown" LINK_SPEED_UNSUPPORTED_DEVICE = "unsupported-device" class StorageSasPort(ManagedObject): """This is StorageSasPort class.""" consts = StorageSasPortConsts() naming_props = set([u'id']) mo_meta = MoMeta("StorageSasPort", "storageSasPort", "sas-port-[id]", VersionMeta.Version312b, "InputOutput", 0x3f, [], ["read-only"], [u'storageEnclosureLocalDiskConfig', u'storageLocalDisk'], [], ["Get"]) prop_meta = { "address": MoPropertyMeta("address", "address", "string", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, None, 0, 510, None, [], []), "child_action": MoPropertyMeta("child_action", "childAction", "string", VersionMeta.Version312b, MoPropertyMeta.INTERNAL, 0x2, None, None, r"""((deleteAll|ignore|deleteNonPresent),){0,2}(deleteAll|ignore|deleteNonPresent){0,1}""", [], []), "dn": MoPropertyMeta("dn", "dn", "string", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, 0x4, 0, 256, None, [], []), "endpoint": MoPropertyMeta("endpoint", "endpoint", "uint", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, None, None, None, None, [], []), "id": MoPropertyMeta("id", "id", "uint", VersionMeta.Version312b, MoPropertyMeta.NAMING, 0x8, None, None, None, [], ["0-4294967295"]), "lc": MoPropertyMeta("lc", "lc", "string", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, None, None, None, None, ["allocated", "available", "deallocated", "repurposed"], []), "link_descr": MoPropertyMeta("link_descr", "linkDescr", "string", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, None, 0, 510, None, [], []), "link_speed": MoPropertyMeta("link_speed", "linkSpeed", "string", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, None, None, None, None, ["1-5-gbps", "12-gbps", "3-gbps", "6-gbps", "disabled", "down", "host-power-off", "unknown", "unsupported-device"], []), "rn": MoPropertyMeta("rn", "rn", "string", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, 0x10, 0, 256, None, [], []), "sacl": MoPropertyMeta("sacl", "sacl", "string", VersionMeta.Version312b, MoPropertyMeta.READ_ONLY, None, None, None, r"""((none|del|mod|addchild|cascade),){0,4}(none|del|mod|addchild|cascade){0,1}""", [], []), "status": MoPropertyMeta("status", "status", "string", VersionMeta.Version312b, MoPropertyMeta.READ_WRITE, 0x20, None, None, r"""((removed|created|modified|deleted),){0,3}(removed|created|modified|deleted){0,1}""", [], []), } prop_map = { "address": "address", "childAction": "child_action", "dn": "dn", "endpoint": "endpoint", "id": "id", "lc": "lc", "linkDescr": "link_descr", "linkSpeed": "link_speed", "rn": "rn", "sacl": "sacl", "status": "status", } def __init__(self, parent_mo_or_dn, id, **kwargs): self._dirty_mask = 0 self.id = id self.address = None self.child_action = None self.endpoint = None self.lc = None self.link_descr = None self.link_speed = None self.sacl = None self.status = None ManagedObject.__init__(self, "StorageSasPort", parent_mo_or_dn, **kwargs)

[ "[email protected]" ]

[email protected]

4b655608f8398692c28ca98e39291340429ff692

ba949e02c0f4a7ea0395a80bdc31ed3e5f5fcd54

/problems/greedy/Solution621.py

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[ "MIT" ]

permissive

akaliutau/cs-problems-python

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refs/heads/master

2023-05-11T22:19:06.711001

2021-06-04T11:14:42

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""" Given a characters array tasks, representing the tasks a CPU needs to do, where each letter represents a different task. Tasks could be done in any order. Each task is done in one unit of time. For each unit of time, the CPU could complete either one task or just be idle. However, there is a non-negative integer n that represents the cooldown period between two same tasks (the same letter in the array), that is that there must be at least n units of time between any two same tasks. Return the least number of units of times that the CPU will take to finish all the given tasks IDEA: The total number of CPU intervals we need consists of busy and idle slots. Number of busy slots is defined by the number of tasks to execute: len(tasks). The problem is to compute a number of idle slots. Maximum possible number of idle slots is defined by the frequency of the most frequent task: idle_time <= (f_max - 1) * n. Example: ABCA, cooling=2 |AAAA|B |C | cooling just calculate #empty + tot_len of letters """ class Solution621: pass

[ "[email protected]" ]

[email protected]

18ed09fbe425c6e23a807270720e517c0825097d

9dbe69085827de6c24e6315ee49c7f462ae9aa1c

/www/manage.py

b24a3a2e84ea3548cd50a6485a8d6ab59a903d4a

[]

no_license

Ggzzhh/LearnPython

f15d5c65a25f48fb8a9a43934227a455e195c541

397bf4e44a5595954c459883878c00cf4ee60307

refs/heads/master

2021-01-20T14:15:15.518408

2017-07-23T08:28:56

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#!/usr/bin/env python3 import os import sys if __name__ == "__main__": os.environ.setdefault("DJANGO_SETTINGS_MODULE", "learning_log.settings") try: from django.core.management import execute_from_command_line except ImportError: # The above import may fail for some other reason. Ensure that the # issue is really that Django is missing to avoid masking other # exceptions on Python 2. try: import django except ImportError: raise ImportError( "Couldn't import Django. Are you sure it's installed and " "available on your PYTHONPATH environment variable? Did you " "forget to activate a virtual environment?" ) raise execute_from_command_line(sys.argv)

[ "[email protected]" ]

[email protected]

46938072fdd88d92a0daec7ee0a0b4f408d355c2

1498148e5d0af365cd7fd16197174174a7fa9800

/t000766_2.py

d782134c3d7d1053b4073e2e8647e4a5474ab4d1

[]

no_license

feiyanshiren/myAcm

59a2b80fe7e02787defcb152eee3eae26135322a

00c7082d5143ddf87aeeafbdb6ce29da46dc8a12

refs/heads/master

2023-09-01T12:12:19.866447

2023-09-01T09:09:56

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import time time1 = time.time() h01 = ["0", "1", "2", "3", "4", "5", "6", "7", "8", "9"] h1 = ["1", "2", "3", "4", "5", "6", "7", "8", "9"] h2 = ["11", "22", "33", "44", "55", "66", "77", "88", "99"] hx3 = ["1x1", "2x2", "3x3", "4x4", "5x5", "6x6", "7x7", "8x8", "9x9"] hx4 = ["1xx1", "2xx2", "3xx3", "4xx4", "5xx5", "6xx6", "7xx7", "8xx8", "9xx9"] hx5 = ["1xyx1", "2xyx2", "3xyx3", "4xyx4", "5xyx5", "6xyx6", "7xyx7", "8xyx8", "9xyx9"] hx6 = ["1xyyx1", "2xyyx2", "3xyyx3", "4xyyx4", "5xyyx5", "6xyyx6", "7xyyx7", "8xyyx8", "9xyyx9"] h3 = [] h4 = [] h5 = [] h6 = [] hy5 = [] hy6 = [] for hx3_in in hx3: for h in h01: s = hx3_in.replace("x", h) h3.append(s) for hx4_in in hx4: for h in h01: s = hx4_in.replace("x", h) h4.append(s) for hx5_in in hx5: for h in h01: s = hx5_in.replace("x", h) hy5.append(s) for hx6_in in hx6: for h in h01: s = hx6_in.replace("x", h) hy6.append(s) for hy5_in in hy5: for h in h01: s = hy5_in.replace("y", h) h5.append(s) for hy6_in in hy6: for h in h01: s = hy6_in.replace("y", h) h6.append(s) h = h1 + h2 + h3 + h4 + h5 + h6 hh = [] for i in h: d = str(int(i) ** 2) k = str(int(i) ** 3) dd = d[::-1] kk = k[::-1] if d == dd and k == kk: hh.append(i) hhh = [] ss = "" k = 0 for h in hh: if k == 5: hhh.append(ss.strip()) ss = h + " " k = 1 else: ss = ss + h + " " k = k + 1 hhh.append(ss.strip()) for i in hhh: print(i) print(time.time() - time1)

[ "[email protected]" ]

[email protected]

923176b05b13547f26b54b29c28090ef780edb2a

017a57c810ad08ecff84652a252656afa3173e17

/odin/utils/shape_calculation.py

d2740e55a36f13457b42b10d7a8e3a26cad4ac51

[ "MIT" ]

permissive

SmartArduino/odin

0189e0b71ccac311887f0fda6bafb96ca9c53a88

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refs/heads/master

2021-01-17T08:22:48.073115

2017-03-04T12:15:03

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0

null

2017-03-04T12:07:20

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UTF-8

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false

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from __future__ import print_function, division, absolute_import from math import ceil import numpy as np # =========================================================================== # Shape calculation for Pooling # Contain code from theano: theano/tensor/signal/pool.py # Copyright (c) 2008--2016, Theano Development Team # =========================================================================== def get_pool_output_shape(imgshape, ws, ignore_border=False, strides=None, pad=None): """ Parameters ---------- imgshape : tuple, list, or similar of integer or scalar Theano variable order: (samples, pool_dim1, pool_dim2, pool_dim3, ..., input_depth) (i.e tensorflow-NHWC format) ws : list or tuple of N ints Downsample factor over rows and column. ws indicates the pool region size. ignore_border : bool If ws doesn't divide imgshape, do we include an extra row/col/slice of partial downsampling (False) or ignore it (True). strides : list or tuple of N ints or None Stride size, which is the number of shifts over rows/cols/slices to get the next pool region. If stride is None, it is considered equal to ws (no overlap on pooling regions). pad : tuple of N ints or None For each downsampling dimension, this specifies the number of zeros to add as padding on both sides. For 2D and (pad_h, pad_w), pad_h specifies the size of the top and bottom margins, pad_w specifies the size of the left and right margins. No padding is added if pad is None. """ # convert tensorflow shape to theano shape imgshape = (imgshape[0], imgshape[-1]) + tuple(imgshape[1:-1]) ndim = len(ws) # check valid pad (list or tuple of int) if isinstance(pad, str): if 'valid' in pad.lower(): pad = (0,) * ndim elif 'same' in pad.lower(): out_shape = tuple([int(ceil(float(i) / float(j))) for i, j in zip(imgshape[-ndim:], strides)]) return (imgshape[0],) + imgshape[2:-ndim] + out_shape + (imgshape[1],) def compute_out(v, downsample, stride): if ignore_border: if downsample == stride: return v // stride else: out = (v - downsample) // stride + 1 return np.maximum(out, 0) else: if stride >= downsample: return (v - 1) // stride + 1 else: return max(0, (v - 1 - downsample + stride) // stride) + 1 # ====== check input arguments ====== # if len(imgshape) < ndim: raise TypeError('imgshape must have at least {} dimensions'.format(ndim)) if strides is None: strides = ws if pad is None: pad = (0,) * ndim patch_shape = tuple(imgshape[-ndim + i] + pad[i] * 2 for i in range(ndim)) out_shape = [compute_out(patch_shape[i], ws[i], strides[i]) for i in range(ndim)] rval = tuple(imgshape[:-ndim]) + tuple(out_shape) # convert theano shape to tensorflow shape rval = (rval[0],) + rval[2:] + (rval[1],) return rval # =========================================================================== # Shape calculation for Convolution # Contain code from theano: theano/tensor/nnet/abstract_conv.py # Copyright (c) 2008--2016, Theano Development Team # =========================================================================== def __get_conv_shape_1axis(image_shape, kernel_shape, border_mode, subsample, dilation=1): if None in [image_shape, kernel_shape, border_mode, subsample, dilation]: return None # Implicit dilated kernel shape dil_kernel_shape = (kernel_shape - 1) * dilation + 1 if isinstance(border_mode, str): border_mode = border_mode.lower() if border_mode == "half" or border_mode == "same": pad = dil_kernel_shape // 2 elif border_mode == "full": pad = dil_kernel_shape - 1 elif border_mode == "valid": pad = 0 else: pad = border_mode if pad < 0: raise ValueError("border_mode must be >= 0") # In case of symbolic shape, we want to build the smallest graph # (image_shape + 2 * pad - dil_kernel_shape) // subsample + 1 if pad == 0: out_shp = (image_shape - dil_kernel_shape) else: out_shp = (image_shape + 2 * pad - dil_kernel_shape) if subsample != 1: out_shp = out_shp // subsample out_shp = out_shp + 1 # ====== get exact same border_mode for theano ====== # if (border_mode == 'half' or border_mode == 'same') and \ kernel_shape % 2 == 0: out_shp = (image_shape + subsample - 1) // subsample return out_shp def get_conv_output_shape(image_shape, kernel_shape, border_mode, subsample, filter_dilation=None): """ This function compute the output shape of convolution operation. original code: abstract_conv.py (theano) Parameters ---------- image_shape: tuple of int (symbolic or numeric) corresponding to the input order: (samples, conv_dim1, conv_dim2, conv_dim3, ..., input_depth) (i.e tensorflow-NHWC format) kernel_shape: tuple of int (symbolic or numeric) corresponding to the order: (kernel_dim1, kernel_dim2, kernel_dim3, ..., input_depth, out_depth) (i.e tensorflow-NHWC format) border_mode: string, int (symbolic or numeric) or tuple of int (symbolic or numeric). If it is a string, it must be 'valid', 'half' or 'full'. If it is a tuple, its two (or three) elements respectively correspond to the padding on height and width (and possibly depth) axis. subsample: tuple of int (symbolic or numeric). Its or three elements espectively correspond to the subsampling on height and width (and possibly depth) axis. filter_dilation: tuple of int (symbolic or numeric). Its two elements correspond respectively to the dilation on height and width axis. Returns ------- output_shape: tuple of int corresponding to the output image shape. Its four element must correspond respectively to: batch size, number of output channels, height and width of the image. None where undefined. """ # ====== convert tensorflow shape to theano shape ====== # image_shape = (image_shape[0], image_shape[-1]) + tuple(image_shape[1:-1]) kernel_shape = (kernel_shape[-1], kernel_shape[-2]) + tuple(kernel_shape[:-2]) # ====== infer shape ====== # bsize, imshp = image_shape[0], image_shape[2:] nkern, kshp = kernel_shape[0], kernel_shape[2:] if filter_dilation is None: filter_dilation = np.ones(len(subsample), dtype='int') if isinstance(border_mode, tuple): out_shp = tuple(__get_conv_shape_1axis( imshp[i], kshp[i], border_mode[i], subsample[i], filter_dilation[i]) for i in range(len(subsample))) else: out_shp = tuple(__get_conv_shape_1axis( imshp[i], kshp[i], border_mode, subsample[i], filter_dilation[i]) for i in range(len(subsample))) # ====== convert theano to tensorflow shape ====== # return (bsize, ) + out_shp + (nkern,)

[ "[email protected]" ]

[email protected]

a3cee10d2c3fa7bcdffc20880585935069d651fc

4910c0f3d03935fc8ee03f1e9dc20dfdb2c7c04b

/Codigos estudiantes por lenguaje/PY/Bryann Valderrama/Algoritmos de Busqueda/DifferencePairSearch.py

6c885a6c2d463ae002f1c7a54ec826b5b9e9f0a1

[]

no_license

roca12/gpccodes

ab15eeedc0cadc0735651262887b44f1c2e65b93

aa034a3014c6fb879ec5392c51f9714bdc5b50c2

refs/heads/master

2023-02-01T13:49:27.563662

2023-01-19T22:50:58

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'''Dado un arreglo y un numero n, buscar si existe un par cuya diferencia es n. - Complejidad Tiempo: O (n logn) ''' from sys import stdin, stdout rl = stdin.readline wr = stdout.write def findPair(arr, n): size = len(arr) i, j = 0, 1 while i < size and j < size: if i != j and arr[j] - arr[i] == n: wr(f'Par encontrado: {arr[i]} - {arr[j]}\n') # return True # Encontrar solo un par i += 1 # Encontrar todos los pares j += 1 # Encontrar todos los pares elif arr[j] - arr[i] < n: j += 1 else: i += 1 wr('Par no encontrado\n') return False arr = list(map(int, rl().split())) # 1 2 3 4 5 6 7 n = int(rl()) # 5 findPair(arr, n) # 1 -6 | 2 - 7

[ "[email protected]" ]

[email protected]