Reset23/the-stack-v2-filtered-python · Datasets at Hugging Face

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/examples/dfp/v201311/contact_service/update_contacts.py

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jdilallo/jdilallo-test

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refs/heads/master

2020-05-18T15:35:37.264949

2014-03-04T18:19:31

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#!/usr/bin/python # # Copyright 2014 Google Inc. 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. """This code example updates contact addresses. To determine which contacts exist, run get_all_contacts.py. Tags: ContactService.updateContacts ContactService.getContactsByStatement """ __author__ = ('Nicholas Chen', 'Joseph DiLallo') # Import appropriate classes from the client library. from googleads import dfp # Set the ID of the contact to update. CONTACT_ID = 'INSERT_CONTACT_ID_HERE' def main(client, contact_id): # Initialize appropriate service. contact_service = client.GetService('ContactService', version='v201311') # Create statement object to select the single contact by ID. values = [{ 'key': 'id', 'value': { 'xsi_type': 'NumberValue', 'value': contact_id } }] query = 'WHERE id = :id' statement = dfp.FilterStatement(query, values, 1) # Get contacts by statement. response = contact_service.getContactsByStatement( statement.ToStatement()) if 'results' in response: updated_contacts = [] for contact in response['results']: contact['address'] = '123 New Street, New York, NY, 10011' updated_contacts.append(contact) # Update the contact on the server. contacts = contact_service.updateContacts(updated_contacts) # Display results. for contact in contacts: print (('Contact with ID \'%s\', name \'%s\', and address \'%s\' ' 'was updated.') % (contact['id'], contact['name'], contact['address'])) else: print 'No contacts found to update.' if __name__ == '__main__': # Initialize client object. dfp_client = dfp.DfpClient.LoadFromStorage() main(dfp_client, CONTACT_ID)

[ "api.jdilallo@gmail.com" ]

api.jdilallo@gmail.com

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/070_oop/001_classes/_exercises/exercises/ITDN Python RUS/001_Vvedenie v OOP/05-__init__.py

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[]

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syurskyi/Python_Topics

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refs/heads/master

2023-06-08T19:29:16.214395

2023-05-29T17:09:11

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# -*- coding: utf-8 -*- # Начальное состояние объекта следует создавать в # специальном методе-конструкторе __init__, который # вызывается автоматически после создания экземпляра # класса. Его параметры указываются при создании # объекта. # Класс, описывающий человека class Person: # Конструктор def __init__(self, name, age): self.name = name self.age = age # Метод из прошлого примера def print_info(self): print(self.name, 'is', self.age) # Создание экземпляров класса alex = Person('Alex', 18) john = Person('John', 20) # Вызов метода print_info alex.print_info() john.print_info()

[ "sergejyurskyj@yahoo.com" ]

sergejyurskyj@yahoo.com

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/cosmeticsyou/accounts/migrations/0003_auto_20180316_2301.py

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[]

no_license

Wishez/cosmeticsyou

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c44c177fd3ea52a25003916be9eb49cbeabcbdea

refs/heads/master

2021-01-18T03:45:11.902558

2018-03-16T21:23:24

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# -*- coding: utf-8 -*- # Generated by Django 1.11.4 on 2018-03-16 20:01 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('accounts', '0002_auto_20180316_2201'), ] operations = [ migrations.AlterField( model_name='refferalconsultant', name='num_apartment', field=models.DecimalField(blank=True, decimal_places=1, max_digits=999, null=True, verbose_name='Квартира'), ), migrations.AlterField( model_name='refferalconsultant', name='num_home', field=models.CharField(blank=True, max_length=5, null=True, verbose_name='Дом'), ), migrations.AlterField( model_name='refferalconsultant', name='passport_data', field=models.CharField(blank=True, max_length=26, null=True, verbose_name='Серия и номер паспорта'), ), migrations.AlterField( model_name='refferalconsultant', name='region', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Почтовый Индекс'), ), migrations.AlterField( model_name='refferalconsultant', name='street', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Улица'), ), migrations.AlterField( model_name='refferalconsultanttablerelations', name='num_apartment', field=models.DecimalField(blank=True, decimal_places=1, max_digits=999, null=True, verbose_name='Квартира'), ), migrations.AlterField( model_name='refferalconsultanttablerelations', name='num_home', field=models.CharField(blank=True, max_length=5, null=True, verbose_name='Дом'), ), migrations.AlterField( model_name='refferalconsultanttablerelations', name='passport_data', field=models.CharField(blank=True, max_length=26, null=True, verbose_name='Серия и номер паспорта'), ), migrations.AlterField( model_name='refferalconsultanttablerelations', name='region', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Почтовый Индекс'), ), migrations.AlterField( model_name='refferalconsultanttablerelations', name='street', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Улица'), ), migrations.AlterField( model_name='user', name='num_apartment', field=models.DecimalField(blank=True, decimal_places=1, max_digits=999, null=True, verbose_name='Квартира'), ), migrations.AlterField( model_name='user', name='num_home', field=models.CharField(blank=True, max_length=5, null=True, verbose_name='Дом'), ), migrations.AlterField( model_name='user', name='passport_data', field=models.CharField(blank=True, max_length=26, null=True, verbose_name='Серия и номер паспорта'), ), migrations.AlterField( model_name='user', name='region', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Почтовый Индекс'), ), migrations.AlterField( model_name='user', name='street', field=models.CharField(blank=True, max_length=50, null=True, verbose_name='Улица'), ), ]

[ "shiningfinger@list.ru" ]

shiningfinger@list.ru

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/DAYS/Day4/Remove_Empty_List.py

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saubhagyav/100_Days_Code_Challenge

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refs/heads/main

2023-08-05T03:12:18.918079

2021-09-12T12:20:41

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2021-07-25T15:06:17

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# Approach 1: def Remove_Empty_List(Given_List): Result = [ele for ele in Given_List if ele != []] return Result Given_List = [5, 6, [], 7, 8, 9, [], 12, [], 4,[]] print(Remove_Empty_List(Given_List)) # Approach 2: Given_List = [5, 6, [], 7, 8, 9, [], 12, [], 4, []] result = list(filter(None, Given_List)) print(result)

[ "noreply@github.com" ]

saubhagyav.noreply@github.com

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/planscore/website/__init__.py

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[]

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dheerajchand/PlanScore

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refs/heads/master

2020-12-02T18:17:23.747720

2017-06-11T04:20:54

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import flask, os, urllib.parse, markdown from .. import data, score MODELS_BASEDIR = os.path.join(os.path.dirname(__file__), 'models') app = flask.Flask(__name__) app.config['PLANSCORE_S3_BUCKET'] = os.environ.get('S3_BUCKET', 'planscore') app.config['PLANSCORE_API_BASE'] = os.environ.get('API_BASE', 'https://api.planscore.org/') def get_data_url_pattern(bucket): return 'https://{}.s3.amazonaws.com/{}'.format(bucket, data.UPLOAD_INDEX_KEY) def get_geom_url_pattern(bucket): return 'https://{}.s3.amazonaws.com/{}'.format(bucket, data.UPLOAD_GEOMETRY_KEY) @app.route('/') def get_index(): return flask.render_template('index.html') @app.route('/upload.html') def get_upload(): planscore_api_base = flask.current_app.config['PLANSCORE_API_BASE'] upload_fields_url = urllib.parse.urljoin(planscore_api_base, 'upload') return flask.render_template('upload.html', upload_fields_url=upload_fields_url) @app.route('/plan.html') def get_plan(): data_url_pattern = get_data_url_pattern(flask.current_app.config['PLANSCORE_S3_BUCKET']) geom_url_pattern = get_geom_url_pattern(flask.current_app.config['PLANSCORE_S3_BUCKET']) return flask.render_template('plan.html', fields=score.FIELD_NAMES, data_url_pattern=data_url_pattern, geom_url_pattern=geom_url_pattern) @app.route('/models/') def get_models(): model_names = list() for (base, _, files) in os.walk(MODELS_BASEDIR): if 'README.md' in files: model_names.append(os.path.relpath(base, MODELS_BASEDIR)) return flask.render_template('models.html', models=model_names) @app.route('/models/<name>/') def get_model(name): model_basedir = os.path.join(MODELS_BASEDIR, name) with open(os.path.join(model_basedir, 'README.md')) as file: model_readme = markdown.markdown(file.read()) model_files = list() for (base, _, files) in os.walk(model_basedir): model_files.extend([ os.path.relpath(os.path.join(base, file), model_basedir) for file in files if file != 'README.md']) return flask.render_template('model.html', name=name, readme=model_readme, files=model_files) @app.route('/models/<name>/<path:path>') def get_model_file(name, path): dirname, filename = os.path.split(os.path.join(MODELS_BASEDIR, name, path)) return flask.send_from_directory(dirname, filename)

[ "mike@teczno.com" ]

mike@teczno.com

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b7a8d04f9fd88d66ef6d8b83a449105ae31698a4

/setup.py

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[]

no_license

jjkas/eels-analysis-old

d5ce3dbb55ed84921abfcb2476243b6783ab5d52

98a2fc8e394060d53f982427dd953b31d56a90fa

refs/heads/master

2020-09-13T12:39:58.384098

2020-01-08T00:13:44

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# -*- coding: utf-8 -*- """ To upload to PyPI, PyPI test, or a local server: python setup.py bdist_wheel upload -r <server_identifier> """ import setuptools import os setuptools.setup( name="nionswift-eels-analysis", version="0.4.4", author="Nion Software", author_email="swift@nion.com", description="Library and UI for doing EELS analysis with Nion Swift.", long_description=open("README.rst").read(), url="https://github.com/nion-software/eels-analysis", packages=["nion.eels_analysis", "nion.eels_analysis.test", "nionswift_plugin.nion_eels_analysis", "nionswift_plugin.nion_eels_analysis.test"], package_data={"nion.eels_analysis": ["resources/*"]}, install_requires=["nionswift>=0.14.0"], classifiers=[ "Development Status :: 2 - Pre-Alpha", "Programming Language :: Python :: 3.6", ], include_package_data=True, test_suite="nion.eels_analysis.test", python_requires='~=3.6', )

[ "cmeyer1969@gmail.com" ]

cmeyer1969@gmail.com

b5bcc647a60de463a5d2a205fe7a95114861f91d

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/signup/sign_up/views.py

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[]

no_license

shatishdesai202/Django-Project-Practice

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refs/heads/main

2023-03-12T17:14:15.823285

2021-03-07T05:32:07

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from django.shortcuts import render from django.contrib.auth.forms import UserCreationForm from .forms import SignupForm # Create your views here. def sign(request): if request.method == "POST": form = SignupForm(request.POST) if form.is_valid(): form.save() form = SignupForm() else: form = SignupForm() context = {'form':form} return render(request, 'base.html', context)

[ "sdondjango@gmail.com" ]

sdondjango@gmail.com

0c22e89f87f706b7c281d9efdf6c8fb932fb7278

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/Login_Pingtai_Code/Login_Pingtai_Code/spiders/zujuan.py

5df1c61f584726695543507746195569516801d9

[ "MIT" ]

permissive

Doraying1230/Python-Study

daa143c133262f4305624d180b38205afe241163

8dccfa2108002d18251053147ccf36551d90c22b

refs/heads/master

2020-03-29T13:46:13.061373

2018-07-26T15:19:32

null

0

null

UTF-8

Python

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''' Created on 2017年10月27日 @author: deppon ''' from scrapy.spiders import CrawlSpider import scrapy from scrapy.http import Request,FormRequest class ZuJuanSpider(CrawlSpider): name = "ZuJuanSpider" account = '13653978879' pwd = '123456' headers = { 'User-Agent':'Mozilla/5.0 (Windows NT 6.1; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/63.0.3239.84 Safari/537.36', 'Host':'passport.zujuan.com', 'Origin':'http://passport.zujuan.com', 'X - Requested - With': 'XMLHttpRequest', 'Connection': 'keep - alive' } def __init__(self, *a, **kw): super(ZuJuanSpider, self).__init__(*a, **kw) self.meta = eval(kw['meta']) def start_requests(self): """第一次请求一下登录页面，设置开启cookie使其得到cookie，设置回调函数""" return [Request(url=self.meta['login_url'],meta={'cookiejar':1},callback=self.parse,headers=self.headers)] def parse(self, response): _csrf = self.extract_from_xpath(response, "//input[@name='_csrf']/@value") print('_csrf ===',_csrf) formdata={'_csrf': _csrf, 'LoginForm[username]': self.account, 'LoginForm[password]': self.pwd, 'LoginForm[rememberMe]':'0'} # 响应Cookie Cookie1 = response.headers.getlist('Set-Cookie') #查看一下响应Cookie，也就是第一次访问注册页面时后台写入浏览器的Cookie print("响应Cookie ====",Cookie1) print('登录中') """第二次用表单post请求，携带Cookie、浏览器代理、用户登录信息，进行登录给Cookie授权""" return [FormRequest.from_response(response, url= self.meta['login_post_url'], #真实post地址 meta={'cookiejar':response.meta['cookiejar']}, formdata=formdata, callback=self.after_login )] def after_login(self,response): yield scrapy.Request(url=self.meta['login_sucess_url'],callback=self.get_json_data,meta=response.meta) def get_json_data(self,response): # 请求Cookie Cookie2 = response.request.headers.getlist('Cookie') print("登陸成功後 cookie =====",Cookie2) a = response.body.decode("utf-8") print("登录后响应信息 ====",a) def extract_from_xpath(self, response, xpath, return_first=True, return_selector=False, embedded_content=False): if return_selector: return response.xpath(xpath) else: if return_first: if embedded_content: return response.xpath(xpath).xpath('string(.)').extract() return response.xpath(xpath).extract_first() return response.xpath(xpath).extract()

[ "2829969299@qq.com" ]

2829969299@qq.com

112a8a4a05140b04fe14ae7faff078f55f0b9100

3eda7828febd06dc5173db03a5c9191a60f44c65

/boyue_index.py

cbe30449aa4b9c9a7da9dec85ede29e53906042d

[]

no_license

xzk-seu/Auto_home_spider

2dd95fdc35177b1ab5050d8efbd811a51328a570

d2016cc2de6d214097210e50755819ee5e4ea342

refs/heads/master

2020-04-11T06:40:13.405381

2019-10-10T08:53:04

161,587,505

0

null

UTF-8

Python

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py

import json import os from multiprocessing import Pool from get_index import get_index def write_result(page): path = os.path.join(os.getcwd(), 'index', 'boyue') if not os.path.exists(path): os.makedirs(path) file_path = os.path.join(path, str(page)+'.json') if os.path.exists(file_path) and os.path.getsize(file_path) != 0: print('file: %d is existing!' % page) return url = 'https://club.autohome.com.cn/bbs/forum-c-3788-%d.html' temp = get_index(url % page) with open(file_path, 'w') as fw: json.dump(temp, fw) print('PAGE: %d done!' % page) def safe_write(page): try: write_result(page) except Exception as e: print('in safe_wire: %s' % e) def get_boyue_index(page_limit): pool = Pool(8) for i in range(1, page_limit + 1): pool.apply_async(safe_write, args=(i,)) pool.close() pool.join() if __name__ == '__main__': get_boyue_index(1000)

[ "1399350807@qq.com" ]

1399350807@qq.com

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45dd427ec7450d2fac6fe2454f54a130b509b634

/lecture_10/direct_needle_patch.py

851a9e8f3135d0940606f49e288d151b46cfc7cf

[]

no_license

weka511/smac

702fe183e3e73889ec663bc1d75bcac07ebb94b5

0b257092ff68058fda1d152d5ea8050feeab6fe2

refs/heads/master

2022-07-02T14:24:26.370766

2022-06-13T00:07:36

33,011,960

22

8

null

UTF-8

Python

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460

py

from random import uniform from math import sqrt a = 0.6 b = 1.0 n_hits = 0 n_steps = 1000000 for n in range(n_steps): x_center = uniform(0.0, b * 0.5) while True: dx = uniform(0.0, 1.0) dy = uniform(0.0, 1.0) rad = sqrt(dx ** 2 + dy ** 2) if rad <= 1.0: break x_tip = x_center - a * 0.5 * dx / rad if x_tip < 0.0: n_hits += 1 print (a * 2.0 * n_steps / float(n_hits) / b)

[ "simon@greenweaves.nz" ]

simon@greenweaves.nz

f8f9fb74ddf71f3055a2aa88c2b4744aad2d2cfa

8cc30a27835e205a3476783106ca1605a6a85c48

/amy/autoemails/tests/test_admin_cancel.py

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[ "MIT" ]

permissive

gaybro8777/amy

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3cf99aed58a0f0acf83d2645a30d8408208ccea9

refs/heads/develop

2023-03-07T22:08:28.692700

2021-02-23T18:06:06

341,930,505

0

MIT

2021-02-24T17:22:08

2021-02-24T14:40:43

null

UTF-8

Python

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7,731

py

from datetime import timedelta from django.test import TestCase from django.urls import reverse from rq import Queue from rq.exceptions import NoSuchJobError from autoemails import admin from autoemails.models import EmailTemplate, Trigger, RQJob from autoemails.job import Job from autoemails.tests.base import FakeRedisTestCaseMixin, dummy_job from workshops.tests.base import SuperuserMixin class TestAdminJobCancel(SuperuserMixin, FakeRedisTestCaseMixin, TestCase): def setUp(self): super().setUp() self._setUpSuperuser() # creates self.admin # save scheduler and connection data self._saved_scheduler = admin.scheduler # overwrite admin.scheduler = self.scheduler # fake RQJob self.email = EmailTemplate.objects.create(slug="test-1") self.trigger = Trigger.objects.create(action="new-instructor", template=self.email) self.rqjob = RQJob.objects.create(job_id="fake-id", trigger=self.trigger) def tearDown(self): super().tearDown() # bring back saved scheduler admin.scheduler = self._saved_scheduler def test_view_doesnt_allow_GET(self): # log admin user self._logSuperuserIn() url = reverse('admin:autoemails_rqjob_cancel', args=[self.rqjob.pk]) rv = self.client.get(url) self.assertEqual(rv.status_code, 405) # Method not allowed def test_view_access_by_anonymous(self): url = reverse('admin:autoemails_rqjob_cancel', args=[self.rqjob.pk]) rv = self.client.post(url) self.assertEqual(rv.status_code, 302) # cannot check by assertRedirect because there's additional `?next` # parameter self.assertTrue(rv.url.startswith(reverse('login'))) def test_view_access_by_admin(self): # log admin user self._logSuperuserIn() # try accessing the view again url = reverse('admin:autoemails_rqjob_cancel', args=[self.rqjob.pk]) rv = self.client.post(url) self.assertEqual(rv.status_code, 302) self.assertRedirects(rv, reverse('admin:autoemails_rqjob_preview', args=[self.rqjob.pk])) def test_no_such_job(self): # log admin user self._logSuperuserIn() with self.assertRaises(NoSuchJobError): Job.fetch(self.rqjob.job_id, connection=self.scheduler.connection) url = reverse('admin:autoemails_rqjob_cancel', args=[self.rqjob.pk]) rv = self.client.post(url, follow=True) self.assertIn( 'The corresponding job in Redis was probably already executed', rv.content.decode('utf-8'), ) def test_job_executed(self): """Ensure executed job is discovered.""" # log admin user self._logSuperuserIn() # enqueue and then create an RQJob job = self.queue.enqueue(dummy_job) rqjob = RQJob.objects.create(job_id=job.id, trigger=self.trigger) Job.fetch(job.id, connection=self.scheduler.connection) # no error with self.connection.pipeline() as pipe: pipe.watch(self.scheduler.scheduled_jobs_key) # no jobs in scheduler self.assertIsNone( pipe.zscore( self.scheduler.scheduled_jobs_key, job.id ) ) url = reverse('admin:autoemails_rqjob_cancel', args=[rqjob.pk]) rv = self.client.post(url, follow=True) self.assertIn( 'Job has unknown status or was already executed.', rv.content.decode('utf-8'), ) def test_enqueued_job_cancelled(self): """Ensure enqueued job is successfully cancelled.""" # log admin user self._logSuperuserIn() # enqueue a job to run in future job = self.scheduler.enqueue_in( timedelta(minutes=5), dummy_job, ) rqjob = RQJob.objects.create(job_id=job.id, trigger=self.trigger) # fetch job data job = Job.fetch(rqjob.job_id, connection=self.scheduler.connection) # `None` status is characteristic to scheduler-queued jobs. # Jobs added to the queue without scheduler will have different # status. self.assertEqual(job.get_status(), None) # the job is in scheduler's queue with self.connection.pipeline() as pipe: pipe.watch(self.scheduler.scheduled_jobs_key) # job in scheduler self.assertIsNotNone( pipe.zscore( self.scheduler.scheduled_jobs_key, job.id ) ) # cancel the job url = reverse('admin:autoemails_rqjob_cancel', args=[rqjob.pk]) rv = self.client.post(url, follow=True) self.assertIn( f'The job {rqjob.job_id} was cancelled.', rv.content.decode('utf-8'), ) # the job is no longer in scheduler's queue with self.connection.pipeline() as pipe: pipe.watch(self.scheduler.scheduled_jobs_key) # job in scheduler self.assertIsNone( pipe.zscore( self.scheduler.scheduled_jobs_key, job.id ) ) # job status updated rqjob.refresh_from_db() self.assertEqual(rqjob.status, "cancelled") # job data still available Job.fetch(rqjob.job_id, connection=self.scheduler.connection) # ...but nothing is scheduled self.assertEqual(self.scheduler.count(), 0) def test_running_job_cancelled(self): """Ensure running job is not cancelled.""" # Create an asynchronous queue. # The name `separate_queue` used here is to ensure the queue isn't # used anywhere else. queue = Queue('separate_queue', connection=self.connection) # log admin user self._logSuperuserIn() # add job to the queue job = queue.enqueue(dummy_job) self.assertEqual(job.get_status(), 'queued') # log the job in our system as RQJob rqjob = RQJob.objects.create(job_id=job.id, trigger=self.trigger) # force the job status to be "started" job.set_status('started') self.assertTrue(job.is_started) url = reverse('admin:autoemails_rqjob_cancel', args=[rqjob.pk]) rv = self.client.post(url, follow=True) self.assertIn( f'Job {rqjob.job_id} has started and cannot be cancelled.', rv.content.decode('utf-8'), ) def test_other_status_job(self): """Ensure jobs with other statuses are handled.""" # Create an asynchronous queue. # The name `separate_queue` used here is to ensure the queue isn't # used anywhere else. queue = Queue('separate_queue', connection=self.connection) # log admin user self._logSuperuserIn() # add job to the queue job = queue.enqueue(dummy_job) self.assertEqual(job.get_status(), 'queued') # log the job in our system as RQJob rqjob = RQJob.objects.create(job_id=job.id, trigger=self.trigger) # force the job status to be "deferred" (could be something else, # except for "started" and "queued") job.set_status('deferred') self.assertTrue(job.is_deferred) url = reverse('admin:autoemails_rqjob_cancel', args=[rqjob.pk]) rv = self.client.post(url, follow=True) self.assertIn( 'Job has unknown status or was already executed.', rv.content.decode('utf-8'), )

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piotr@banaszkiewicz.org

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no_license

juanengml/Sistema_de_Monitoramento_de_Salas_GPIOT-UTFPR-TD

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import paho.mqtt.client as mqtt #import RPi.GPIO as GPIO import json THINGSBOARD_HOST = 'YOUR_THINGSBOARD_IP_OR_HOSTNAME' ACCESS_TOKEN = 'RASPBERRY_PI_DEMO_TOKEN' # The callback for when the client receives a CONNACK response from the server. def on_connect(client, userdata, rc, *extra_params): print('Connected with result code ' + str(rc)) # Subscribing to receive RPC requests client.subscribe('v1/devices/me/rpc/request/+') # Sending current GPIO status client.publish('v1/devices/me/attributes', JSON, 1) # The callback for when a PUBLISH message is received from the server. def on_message(client, userdata, msg): print 'Topic: ' + msg.topic + '\nMessage: ' + str(msg.payload) # Decode JSON request data = json.loads(msg.payload) # Check request method if data['method'] == 'getGpioStatus': # Reply with GPIO status client.publish(msg.topic.replace('request', 'response'), JSON, 1) elif data['method'] == 'setGpioStatus': # Update GPIO status and reply client.publish(msg.topic.replace('request', 'response'), JSON, 1) client.publish('v1/devices/me/attributes', JSON, 1) client = mqtt.Client() # Register connect callback client.on_connect = on_connect # Registed publish message callback client.on_message = on_message # Set access token client.username_pw_set(ACCESS_TOKEN) # Connect to ThingsBoard using default MQTT port and 60 seconds keepalive interval client.connect(THINGSBOARD_HOST, 1883, 60) try: client.loop_forever() except KeyboardInterrupt: GPIO.cleanup()

[ "juanengml@gmail.com" ]

juanengml@gmail.com

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/btre/urls.py

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[]

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AkshayVKumar/btre

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2023-03-29T04:22:49.478403

2021-04-01T18:51:16

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"""btre URL Configuration The `urlpatterns` list routes URLs to views. For more information please see: https://docs.djangoproject.com/en/2.2/topics/http/urls/ Examples: Function views 1. Add an import: from my_app import views 2. Add a URL to urlpatterns: path('', views.home, name='home') Class-based views 1. Add an import: from other_app.views import Home 2. Add a URL to urlpatterns: path('', Home.as_view(), name='home') Including another URLconf 1. Import the include() function: from django.urls import include, path 2. Add a URL to urlpatterns: path('blog/', include('blog.urls')) """ from django.contrib import admin from django.urls import path,include from django.conf import settings from django.conf.urls.static import static import pages import listings import realtors import accounts urlpatterns = [ path('admin/', admin.site.urls), path('',include('pages.urls')), path('listings/',include("listings.urls")), path('realtors/',include("realtors.urls")), path('accounts/',include("accounts.urls")), path('contacts/',include("contacts.urls")) ]+static(settings.MEDIA_URL,document_root=settings.MEDIA_ROOT)

[ "akshayvk64@gmail.com" ]

akshayvk64@gmail.com

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/src/sentimental_analysis/preprocess.py

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[ "MIT" ]

permissive

stormsinbrewing/Real_Time_Social_Media_Mining

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2023-04-23T07:46:01.690005

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import re import sys from utils import write_status from nltk.stem.porter import PorterStemmer def preprocess_word(word): # Remove punctuation word = word.strip('\'"?!,.():;') # Convert more than 2 letter repetitions to 2 letter # funnnnny --> funny word = re.sub(r'(.)\1+', r'\1\1', word) # Remove - & ' word = re.sub(r'(-|\')', '', word) return word def is_valid_word(word): # Check if word begins with an alphabet return (re.search(r'^[a-zA-Z][a-z0-9A-Z\._]*$', word) is not None) def handle_emojis(tweet): # Smile -- :), : ), :-), (:, ( :, (-:, :') tweet = re.sub(r'(:\s?\)|:-\)|$\s?:|\(-:|:\'$)', ' EMO_POS ', tweet) # Laugh -- :D, : D, :-D, xD, x-D, XD, X-D tweet = re.sub(r'(:\s?D|:-D|x-?D|X-?D)', ' EMO_POS ', tweet) # Love -- <3, :* tweet = re.sub(r'(<3|:\*)', ' EMO_POS ', tweet) # Wink -- ;-), ;), ;-D, ;D, (;, (-; tweet = re.sub(r'(;-?\)|;-?D|$-?;)', ' EMO_POS ', tweet) # Sad -- :-(, : (, :(, ):, )-: tweet = re.sub(r'(:\s?\(|:-\(|$\s?:|\)-:)', ' EMO_NEG ', tweet) # Cry -- :,(, :'(, :"( tweet = re.sub(r'(:,\(|:\'\(|:"\()', ' EMO_NEG ', tweet) return tweet def preprocess_tweet(tweet): processed_tweet = [] # Convert to lower case tweet = tweet.lower() # Replaces URLs with the word URL tweet = re.sub(r'((www\.[\S]+)|(https?://[\S]+))', ' URL ', tweet) # Replace @handle with the word USER_MENTION tweet = re.sub(r'@[\S]+', 'USER_MENTION', tweet) # Replaces #hashtag with hashtag tweet = re.sub(r'#(\S+)', r' \1 ', tweet) # Remove RT (retweet) tweet = re.sub(r'\brt\b', '', tweet) # Replace 2+ dots with space tweet = re.sub(r'\.{2,}', ' ', tweet) # Strip space, " and ' from tweet tweet = tweet.strip(' "\'') # Replace emojis with either EMO_POS or EMO_NEG tweet = handle_emojis(tweet) # Replace multiple spaces with a single space tweet = re.sub(r'\s+', ' ', tweet) words = tweet.split() for word in words: word = preprocess_word(word) if is_valid_word(word): if use_stemmer: word = str(porter_stemmer.stem(word)) processed_tweet.append(word) return ' '.join(processed_tweet) def preprocess_csv(csv_file_name, processed_file_name, test_file=False): save_to_file = open(processed_file_name, 'w') with open(csv_file_name, 'r') as csv: lines = csv.readlines() total = len(lines) for i, line in enumerate(lines): tweet_id = line[:line.find(',')] if not test_file: line = line[1 + line.find(','):] positive = int(line[:line.find(',')]) line = line[1 + line.find(','):] tweet = line processed_tweet = preprocess_tweet(tweet) if not test_file: save_to_file.write('%s,%d,%s\n' % (tweet_id, positive, processed_tweet)) else: save_to_file.write('%s,%s\n' % (tweet_id, processed_tweet)) write_status(i + 1, total) save_to_file.close() print '\nSaved processed tweets to: %s' % processed_file_name return processed_file_name if __name__ == '__main__': if len(sys.argv) != 2: print 'Usage: python preprocess.py <raw-CSV>' exit() use_stemmer = False csv_file_name = sys.argv[1] processed_file_name = sys.argv[1][:-4] + '-processed.csv' if use_stemmer: porter_stemmer = PorterStemmer() processed_file_name = sys.argv[1][:-4] + '-processed-stemmed.csv' preprocess_csv(csv_file_name, processed_file_name, test_file=False)

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metamorph-inc/meta-core

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from numpy import * def SRC_regress(X, Y, otpt, N): # Add a constant term. X = insert(X,0,1,1) #insert a column of 1's in the 0th column, axis 1 # Find the least squares solution by the use of Matlab backslash operator. # b is the vector of regression coefficients. r2=[] b=zeros((X.shape[1],otpt)) r=zeros((X.shape[1],otpt)) for p in range(otpt): b[:,p], resid = linalg.lstsq(X, Y[:, p])[:2] r2.append((1 - resid / (Y[:, p].size * Y[:, p].var()))[0]) r[:, p] = b[:, p] * asarray((std(X,0).T / std(Y[:, p]) ).T) # [b(:,p),~,~,~,stats] = regress(Y(:,p),X) # r(:,p) = b(:,p).*std(X)'/std(Y(:,p)) # stat(p)=stats(1) # "Standardize" the regression coefficients. # Remove the constant term. return r[1:], r2

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kevin.m.smyth@gmail.com

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rafaelperazzo/programacao-web

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# -*- coding: utf-8 -*- from __future__ import division a=int(input('Digite os valores disponíveis das moedas:')) b=int(input('Digite os valores disponíveis das moedas:')) c=int(input('Digite a cédula:')) cont=0 qa=c//a qb=0 while qa>=0: troca=c-qa*a if troca%b==0: qb=troca//b cont=cont+1 break else: qa=qa-1 if cont>0: print qa print qb else: print('N')

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

rafael.mota@ufca.edu.br

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webiumsk/WOT-0.9.20.0

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2021-01-20T22:11:45.505844

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# 2017.08.29 21:48:42 Střední Evropa (letní čas) # Embedded file name: scripts/client/gui/Scaleform/genConsts/DAMAGE_LOG_SHELL_BG_TYPES.py """ This file was generated using the wgpygen. Please, don't edit this file manually. """ class DAMAGE_LOG_SHELL_BG_TYPES(object): GOLD = 'gold' WHITE = 'white' EMPTY = 'empty' # okay decompyling c:\Users\PC\wotmods\files\originals\res\packages\scripts\scripts\client\gui\Scaleform\genConsts\DAMAGE_LOG_SHELL_BG_TYPES.pyc # decompiled 1 files: 1 okay, 0 failed, 0 verify failed # 2017.08.29 21:48:42 Střední Evropa (letní čas)

[ "info@webium.sk" ]

info@webium.sk

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#!c:\users\bani_\desktop\codingdojo\djangoprojects\django_test\venv\scripts\python.exe from django.core import management if __name__ == "__main__": management.execute_from_command_line()

[ "arbanakus@gmail.com" ]

arbanakus@gmail.com

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/extra/unused/aggregate_icesat.py

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[ "MIT" ]

permissive

whyjz/CARST

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2023-05-26T20:27:38.105623

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#!/usr/bin/python # aggregate_icesat.py # Author: Andrew Kenneth Melkonian # All rights reserved def aggregate_icesat(icesat_path, input_dem_xyz_txt_dir, input_dem_xyz_txt_identifier, output_label): import os; assert os.path.exists(icesat_path), "\n***** ERROR: " + icesat_path + " does not exist, exiting...\n"; assert os.path.exists(input_dem_xyz_txt_dir), "\n***** ERROR: " + input_dem_xyz_txt_dir + " does not exist, exiting...\n"; max_elev = "1520"; min_elev = "-100"; interval = 120.; icesat_unc = "0.5"; coords = {}; xy = ""; import re; infile = open(icesat_path, "r"); for line in infile: elements = line.split(); if len(elements) > 2 and elements[2].find("NaN") < 0: x = elements[0].strip(); y = elements[1].strip(); x = x[ : re.search("0*$",x).start(0)]; y = y[ : re.search("0*$",y).start(0)]; if float(elements[5]) > float(max_elev): continue; elif float(elements[5]) <= float(min_elev): continue; xy = x + " " + y; if xy not in coords: coords[xy] = ""; coords[xy] = coords[xy] + xy + " " + elements[2].strip() + " " + elements[3].strip() + " " + elements[4].strip() + "\n"; infile.close(); contents = os.listdir(input_dem_xyz_txt_dir); input_dem_xyz_txt_names = [item for item in contents if re.search(".*" + input_dem_xyz_txt_identifier + "\.txt$", item)]; for item in input_dem_xyz_txt_names: if re.search(icesat_path[icesat_path.rfind("/") + 1 : ], input_dem_xyz_txt_dir + "/" + item): continue; infile = open(input_dem_xyz_txt_dir + "/" + item, "r"); for line in infile: elements = line.split(); if len(elements) > 2 and elements[2].find("NaN") < 0: x = elements[0].strip(); y = elements[1].strip(); x = x[ : re.search("0*$",x).start(0)]; y = y[ : re.search("0*$",y).start(0)]; if float(elements[2]) > float(max_elev): continue; elif float(elements[2]) <= float(min_elev): continue; xy = x + " " + y; if xy not in coords: continue; # coords[xy] = ""; coords[xy] = coords[xy] + xy + " " + elements[2].strip() + " " + elements[3].strip() + " " + elements[4].strip() + "\n"; infile.close(); # import math; # import subprocess; # x_ref, y_ref = xy.split(); # infile = open(icesat_path, "r"); # for line in infile: # if line.find("# @D") > -1: # elements = line.split("|"); # date = elements[0]; # x = elements[3]; # y = elements[4]; # h_ell = elements[5]; # new_x = str(float(math.ceil((float(x) - float(x_ref)) / interval)) * interval + float(x_ref)); # new_y = str(float(math.ceil((float(y) - float(y_ref)) / interval)) * interval + float(y_ref)); # xy = new_x + " " + new_y; # year = date[4:8]; # month = date[8:10]; # day = date[10:12]; # hour = "12"; # minute = "00"; # second = "00"; # cmd = "\ndate +\"%s\" -d \"" + year + "-" + month + "-" + day + " " + hour + ":" + minute + ":" + second + "\"\n"; # pipe = subprocess.Popen(cmd,shell=True,stdout=subprocess.PIPE).stdout; # secs = pipe.read().strip(); # pipe.close(); # cmd = "\ndate +\"%s\" -d \"" + year + "-01-01 00:00:00\"\n"; # pipe = subprocess.Popen(cmd,shell=True,stdout=subprocess.PIPE).stdout; # year_secs = pipe.read().strip(); # pipe.close(); # date = str(float(year) + (float(secs) - float(year_secs)) / (24.0 * 60.0 * 60.0 * 365.25)); # if xy not in coords: # coords[xy] = ""; # coords[xy] = coords[xy] + xy + " " + h_ell + " " + date + " " + icesat_unc + "\n"; # infile.close(); outfile = open(output_label + ".txt", "w"); for xy in coords: outfile.write(coords[xy]); outfile.write(">\n"); outfile.close(); return; if __name__ == "__main__": import os; import sys; assert len(sys.argv) > 4, "\n***** ERROR: aggregate_icesat.py requires 4 arguments, " + str(len(sys.argv) - 1) + " given\n"; assert os.path.exists(sys.argv[1]), "\n***** ERROR: " + sys.argv[1] + " does not exist\n"; assert os.path.exists(sys.argv[2]), "\n***** ERROR: " + sys.argv[2] + " does not exist\n"; aggregate_icesat(sys.argv[1], sys.argv[2], sys.argv[3], sys.argv[4]); exit();

[ "wz278@cornell.edu" ]

wz278@cornell.edu

cb82f5cc168695fdf732dccb1eb23dab8368ac8f

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/backup/user_340/ch18_2020_03_24_20_35_15_928242.py

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[]

no_license

gabriellaec/desoft-analise-exercicios

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refs/heads/main

2023-01-31T17:19:42.050628

2020-12-16T05:21:31

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UTF-8

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190

py

def verifica_idade(idade): if idade<18: return "Não está liberado" elif idade>=18 and idade<21: return "Liberado no BRASIL" else: return "Liberado EUA e BRASIL"

[ "you@example.com" ]

you@example.com

b87d7438f6510080b17e0f5f71038725daf202f8

3917a54838a67dafd6b17aa2cba51144f3f242d0

/demo/amrparsing/vw_pred_to_amr.py

7d0fff434814f3cfacb9ab73e8309d77623f372c

[]

no_license

raosudha89/vowpal_wabbit

29e25533113a33a39b64ccacbbef5452e41590a8

03e973838e022149d802ec3f5e2817dcbc9019d5

refs/heads/master

2021-01-21T13:29:27.941872

2016-06-03T01:56:25

43,918,094

2

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py

import sys, os import networkx as nx import pdb import pickle as p NULL_CONCEPT = 1 def update_graph(amr_nx_graph, concept_nx_graph, nx_parent, parent, count): for child in concept_nx_graph.successors(parent): child_idx = 'n'+str(count) count += 1 if "\"" in concept_nx_graph.node[child]['instance']: amr_nx_graph.add_node(child_idx, instance=concept_nx_graph.node[child]['instance'], postprocess=True) else: amr_nx_graph.add_node(child_idx, instance=concept_nx_graph.node[child]['instance'], postprocess=False) amr_nx_graph.add_edge(nx_parent, child_idx, relation=concept_nx_graph[parent][child][0]['relation']) amr_nx_graph, count = update_graph(amr_nx_graph, concept_nx_graph, child_idx, child, count) return amr_nx_graph, count def post_process(amr_nx_graph, concept_graph_fragment_dict): all_nodes = amr_nx_graph.nodes() count = 1 for node in all_nodes: node_concept = amr_nx_graph.node[node]['instance'] if node_concept in concept_graph_fragment_dict.keys(): concept_nx_graph = concept_graph_fragment_dict[node_concept] concept_nx_graph_root = nx.topological_sort(concept_nx_graph)[0] amr_nx_graph.node[node]['instance'] = concept_nx_graph.node[concept_nx_graph_root]['instance'] amr_nx_graph.node[node]['postprocess'] = False amr_nx_graph, count = update_graph(amr_nx_graph, concept_nx_graph, node, concept_nx_graph_root, count) else: parts = node_concept.split('_') if len(parts) >= 3 and parts[1] == 'name': #new_reverse_map_dict[each_node] = x[0] amr_nx_graph.node[node]['instance'] = parts[0] name_node_idx = 'n'+str(count) count += 1 amr_nx_graph.add_node(name_node_idx, instance='name', postprocess=False) amr_nx_graph.add_edge(node, name_node_idx, relation='name') subcount = 1 for child in parts[2:]: child_idx = 'n'+str(count) count += 1 amr_nx_graph.add_node(child_idx, instance=child, postprocess=True) amr_nx_graph.add_edge(name_node_idx, child_idx, relation='op'+str(subcount)) subcount += 1 elif len(parts) > 1: amr_nx_graph.node[node]['instance'] = parts[0] for part in parts[1:]: name_node_idx = 'n'+str(count) count += 1 amr_nx_graph.add_node(name_node_idx, instance=part, postprocess=False) amr_nx_graph.add_edge(node, name_node_idx, relation='op1') #TODO: get the k-best set of relation from preprocessing ''' elif len(parts) == 4 and parts[0] == 'date-entity': amr_nx_graph.node[node]['instance'] = parts[0] if parts[1] != 'X': child_idx = 'n'+str(count) count += 1 amr_nx_graph.add_node(child_idx, instance=parts[1], postprocess=True) amr_nx_graph.add_edge(node, child_idx, relation='year') if parts[2] != 'X': child_idx = 'n'+str(count) count += 1 amr_nx_graph.add_node(child_idx, instance=parts[2], postprocess=True) amr_nx_graph.add_edge(node, child_idx, relation='month') if parts[3] != 'X': child_idx = 'n'+str(count) count += 1 amr_nx_graph.add_node(child_idx, instance=parts[3], postprocess=True) amr_nx_graph.add_edge(node, child_idx, relation='date') ''' return amr_nx_graph def to_nx_graph(all_heads, all_tags, all_concepts, concepts_dict, relations_dict): #print all_heads #print all_tags #print all_concepts amr_roots = [] amr_nx_graph = nx.MultiDiGraph() for idx in range(1, len(all_concepts)): concept = all_concepts[idx] if concept == NULL_CONCEPT: continue amr_nx_graph.add_node(idx, instance=concepts_dict[concept], postprocess=False) if 0 in all_heads[idx]: #this is the root amr_roots.append(idx) continue #so don't add any edge for i, parent in enumerate(all_heads[idx]): amr_nx_graph.add_edge(parent, idx, relation=relations_dict[all_tags[idx][i]]) return amr_nx_graph, amr_roots shortname_dict = {} def get_amr_string(root, amr_nx_graph, tab_levels=1): amr_string = "" #print amr_nx_graph.successors(root) global shortname_dict for child in amr_nx_graph.successors(root): if not child in shortname_dict.keys(): size = len(shortname_dict.keys()) child_amr_string = get_amr_string(child, amr_nx_graph, tab_levels+1) shortname_dict[child] = "c"+str(size) amr_string += "\t"*tab_levels + "\t:{0} ".format(amr_nx_graph[root][child][0]['relation']) + child_amr_string else: amr_string += "\t"*tab_levels + ":{0} {1}\n".format(amr_nx_graph[root][child][0]['relation'], shortname_dict[child]) if not root in shortname_dict.keys(): size = len(shortname_dict.keys()) shortname_dict[root] = "c"+str(size) if amr_nx_graph.node[root]['postprocess'] == True: #postprocessed node so don't add shortname amr_string = "{0} \n".format(amr_nx_graph.node[root]['instance'].replace("/", "")) else: amr_string = "({0} / {1}\n".format(shortname_dict[root], amr_nx_graph.node[root]['instance'].replace("/", "")) + amr_string + ")" else: amr_string = "{0}".format(amr_nx_graph.node[root]['instance'].replace("/", "")) return amr_string def print_nx_graph(nx_graph, amr_roots, output_amr_file): #print amr_nx_graph.nodes() #print amr_nx_graph.edges() #print amr_root #pdb.set_trace() if not amr_roots: #Only null concepts predicted amr_nx_graph.add_node(0, instance='multi-sentence', parents=None, postprocess=False) output_amr_file.write(get_amr_string(0, amr_nx_graph)) elif len(amr_roots) > 1: amr_nx_graph.add_node(0, instance='multi-sentence', parents=None, postprocess=False) for i, amr_root in enumerate(amr_roots): amr_nx_graph.add_edge(0, amr_root, relation='snt'+str(i+1)) output_amr_file.write(get_amr_string(0, amr_nx_graph)) else: output_amr_file.write(get_amr_string(amr_roots[0], amr_nx_graph)) output_amr_file.write("\n") output_amr_file.write("\n") if __name__ == "__main__": if len(sys.argv) < 2: print "usage: vw_pred_to_amr.py <data.pred> <all_concepts.p> <all_relations.p> <concept_graph_fragment_dict.p> <output_amr_file>" sys.exit(0) vw_pred_file = open(sys.argv[1], 'r') concepts_dict = p.load(open(sys.argv[2], 'rb')) relations_dict = p.load(open(sys.argv[3], 'rb')) concept_graph_fragment_dict = p.load(open(sys.argv[4], 'rb')) output_amr_file = open(sys.argv[5], 'w') all_heads = [[0]] all_tags = [[0]] all_concepts = [0] global shortname_dict for line in vw_pred_file.readlines(): line = line.strip("\n") values = line.split(':') if not values[0].isdigit() or not values[1].isdigit() or not line: if all_heads: amr_nx_graph, amr_roots = to_nx_graph(all_heads, all_tags, all_concepts, concepts_dict, relations_dict) amr_nx_graph = post_process(amr_nx_graph, concept_graph_fragment_dict) print_nx_graph(amr_nx_graph, amr_roots, output_amr_file) all_heads = [[0]] all_tags = [[0]] all_concepts = [0] shortname_dict = {} amr_root = [] else: values = [int(v.strip()) for v in values] heads = [values[0]] tags = [values[1]] concept = values[2] for i in range(3, len(values), 2): heads.append(values[i]) tags.append(values[i+1]) all_heads.append(heads) all_tags.append(tags) all_concepts.append(concept)

[ "raosudha@umiacs.umd.edu" ]

raosudha@umiacs.umd.edu

959957ffa9f4cf7e4062352f73c90a7ff06c7e0d

1796043fc26c958b8fc45d9c058e382473c4f3af

/Fabio 01 Parte 02/f1_p2_q11_media_tresnumeros.py

91b7d9e889f37d6676a565d66ccb3e47c0964256

[]

no_license

Lucakurotaki/ifpi-ads-algoritmos2020

a69adec27dbb10aceab1bc7038a0b56a760f99d1

34d5fedd5825a85404cf9340e42be618981679c1

refs/heads/master

2022-03-22T04:44:14.211359

2022-02-19T18:48:36

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py

#Entrada num1 = int(input("Digite o primeiro número: ")) num2 = int(input("Digite o segundo número: ")) num3 = int(input("Digite o terceiro número: ")) #Processamento media = (num1+num2+num3)/3 #Saída print("A média aritmética dos números {}, {} e {} é: {}".format(num1,num2,num3,media))

[ "noreply@github.com" ]

Lucakurotaki.noreply@github.com

e10541d0e1cc3cb3b76d033be5c42c2e03b341c9

64ada708c3ee39c624a223fa4881ce3689041606

/Appendix/maze_game.py

194f7ce6a1e7dfd28431a0db34a8a95eaf28369b

[]

no_license

kimcaptin/PythonGame_1

1173cf3ac356d29b1cb254b1607bd4528e0a28cc

af32318bf1e6ea73aa00fc4c72d07e1a5d7c5300

refs/heads/main

2023-01-04T05:46:02.782910

2020-10-28T06:53:30

null

0

null

UTF-8

Python

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5,421

py

import tkinter import tkinter.messagebox idx = 0 tmr = 0 stage = 1 ix = 0 iy = 0 key = 0 def key_down(e): global key key = e.keysym def key_up(e): global key key = 0 maze = [[], [], [], [], [], [], [], []] def stage_data(): global ix, iy global maze # 리스트 전체를 변경하는 경우 전역 변수 선언 필요 if stage == 1: ix = 1 iy = 1 # 0: 길, 1: 칠해진 통로, 9: 벽 maze = [ [9, 9, 9, 9, 9, 9, 9, 9, 9, 9], [9, 0, 9, 0, 0, 0, 9, 0, 0, 9], [9, 0, 9, 0, 9, 0, 9, 0, 0, 9], [9, 0, 9, 0, 9, 0, 9, 0, 9, 9], [9, 0, 9, 0, 9, 0, 9, 0, 0, 9], [9, 0, 9, 0, 9, 0, 9, 9, 0, 9], [9, 0, 0, 0, 9, 0, 0, 0, 0, 9], [9, 9, 9, 9, 9, 9, 9, 9, 9, 9] ] if stage == 2: ix = 8 iy = 6 maze = [ [9, 9, 9, 9, 9, 9, 9, 9, 9, 9], [9, 0, 0, 0, 0, 0, 0, 0, 0, 9], [9, 0, 0, 0, 0, 0, 0, 9, 0, 9], [9, 0, 0, 9, 9, 0, 0, 9, 0, 9], [9, 0, 0, 9, 9, 0, 0, 9, 0, 9], [9, 9, 9, 9, 9, 0, 0, 9, 0, 9], [9, 9, 9, 9, 9, 0, 0, 0, 0, 9], [9, 9, 9, 9, 9, 9, 9, 9, 9, 9] ] if stage == 3: ix = 3 iy = 3 maze = [ [9, 9, 9, 9, 9, 9, 9, 9, 9, 9], [9, 9, 9, 0, 0, 0, 0, 9, 9, 9], [9, 9, 0, 0, 0, 0, 0, 0, 9, 9], [9, 0, 0, 0, 0, 0, 0, 0, 0, 9], [9, 0, 9, 0, 0, 0, 0, 0, 0, 9], [9, 0, 0, 0, 0, 0, 0, 0, 9, 9], [9, 9, 0, 0, 0, 0, 0, 9, 9, 9], [9, 9, 9, 9, 9, 9, 9, 9, 9, 9] ] if stage == 4: ix = 4 iy = 3 maze = [ [9, 9, 9, 9, 9, 9, 9, 9, 9, 9], [9, 0, 0, 0, 0, 0, 0, 0, 0, 9], [9, 0, 0, 0, 9, 0, 0, 0, 0, 9], [9, 0, 0, 0, 0, 0, 0, 0, 0, 9], [9, 0, 0, 9, 0, 0, 0, 9, 0, 9], [9, 0, 0, 0, 0, 0, 0, 9, 0, 0], [9, 0, 0, 0, 0, 0, 0, 0, 0, 9], [9, 9, 9, 9, 9, 9, 9, 9, 9, 9] ] if stage == 5: ix = 1 iy = 6 maze = [ [9, 9, 9, 9, 9, 9, 9, 9, 9, 9], [9, 0, 0, 0, 0, 0, 0, 0, 0, 9], [9, 0, 9, 0, 0, 0, 0, 0, 0, 9], [9, 0, 0, 0, 0, 0, 9, 9, 0, 9], [9, 0, 0, 0, 0, 9, 9, 9, 0, 9], [9, 0, 0, 9, 0, 0, 0, 0, 0, 9], [9, 0, 0, 0, 0, 0, 0, 0, 0, 9], [9, 9, 9, 9, 9, 9, 9, 9, 9, 9] ] maze[iy][ix] = 1 def draw_bg(): for y in range(8): for x in range(10): gx = 80 * x gy = 80 * y if maze[y][x] == 0: cvs.create_rectangle(gx, gy, gx + 80, gy + 80, fill="white", width=0, tag="BG") if maze[y][x] == 9: cvs.create_image(gx + 40, gy + 40, image=wall, tag="BG") cvs.create_text(120, 40, text="STAGE " + str(stage), fill="white", font=("Times New Roman", 30, "bold"), tag="BG") gx = 80 * ix gy = 80 * iy cvs.create_rectangle(gx, gy, gx + 80, gy + 80, fill="pink", width=0, tag="BG") cvs.create_image(gx + 60, gy + 20, image=pen, tag="PEN") def erase_bg(): cvs.delete("BG") cvs.delete("PEN") def move_pen(): global idx, tmr, ix, iy, key bx = ix by = iy if key == "Left" and maze[iy][ix - 1] == 0: ix = ix - 1 if key == "Right" and maze[iy][ix + 1] == 0: ix = ix + 1 if key == "Up" and maze[iy - 1][ix] == 0: iy = iy - 1 if key == "Down" and maze[iy + 1][ix] == 0: iy = iy + 1 if ix != bx or iy != by: maze[iy][ix] = 2 gx = 80 * ix gy = 80 * iy cvs.create_rectangle(gx, gy, gx + 80, gy + 80, fill="pink", width=0, tag="BG") cvs.delete("PEN") cvs.create_image(gx + 60, gy + 20, image=pen, tag="PEN") if key == "g" or key == "G" or key == "Shift_L": key = 0 ret = tkinter.messagebox.askyesno("포기", "다시 하겠습니까?") # root.focus_force() # for Mac if ret == True: stage_data() erase_bg() draw_bg() def count_tile(): cnt = 0 for y in range(8): for x in range(10): if maze[y][x] == 0: cnt = cnt + 1 return cnt def game_main(): global idx, tmr, stage if idx == 0: # 초기화 stage_data() draw_bg() idx = 1 if idx == 1: # 펜 이동과 클리어 판정 move_pen() if count_tile() == 0: txt = "STAGE CLEAR" if stage == 5: txt = "ALL STAGE CLEAR!" cvs.create_text(400, 320, text=txt, fill="white", font=("Times New Roman", 40, "bold"), tag="BG") idx = 2 tmr = 0 if idx == 2: # 스테이지 클리어 tmr = tmr + 1 if tmr == 30: if stage < 5: stage = stage + 1 stage_data() erase_bg() draw_bg() idx = 1 root.after(200, game_main) root = tkinter.Tk() root.title("한 번에 미로 칠하기 게임") root.resizable(False, False) root.bind("<KeyPress>", key_down) root.bind("<KeyRelease>", key_up) cvs = tkinter.Canvas(root, width=800, height=640) cvs.pack() pen = tkinter.PhotoImage(file="pen.png") wall = tkinter.PhotoImage(file="wall.png") game_main() root.mainloop()

[ "jeipubmanager@gmail.com" ]

jeipubmanager@gmail.com

1a84f5a49bcf0eab3c43b3ba1db9666ebd94af29

59fbeea017110472a788218db3c6459e9130c7fe

/rotate-list/rotate-list.py

be8a63c32a60f946bd7d6f0d6a3529f0a007cea7

[]

no_license

niufenjujuexianhua/Leetcode

82b55d9382bc9f63f4d9da9431194e20a4d299f1

542c99e038d21429853515f62af51a77deaa4d9c

refs/heads/master

2022-04-27T16:55:00.035969

2022-03-10T01:10:04

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# Definition for singly-linked list. # class ListNode(object): # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution(object): def rotateRight(self, head, k): """ :type head: ListNode :type k: int :rtype: ListNode """ if not head or not head.next: return head d = ListNode d.next = head cur = head cnt = 0 while cur: cnt += 1 cur = cur.next k = k % cnt if k == 0: return head s = f = d for _ in range(k): f = f.next while f and f.next: s, f = s.next, f.next newhead = s.next s.next = None f.next = d.next return newhead

[ "wutuo123@yeah.net" ]

wutuo123@yeah.net

73585cbc1b80617c5e8e1b4b75573ae0b261b5a9

aaa22c7aa8d8c6fb2a9d489252d72387c914cfac

/orders/migrations/0001_initial.py

7091656e024adbcbb40069c9f3359ffdc35672db

[]

no_license

MohamedHany2002/online-shop

dccd55fef192cb94b57a5eca126a85c38c71c0fa

e8db42c17ea6b1cb0b08e6ff0e2e367ce9a118be

refs/heads/master

2022-09-04T16:24:40.912664

2020-05-12T14:53:43

263,360,402

0

null

UTF-8

Python

false

1,044

py

# Generated by Django 3.0.2 on 2020-04-11 14:29 from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ ('cart', '0009_cart_user'), ] operations = [ migrations.CreateModel( name='Order', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('order_id', models.CharField(blank=True, max_length=120)), ('shipping_total', models.DecimalField(decimal_places=2, default=5.99, max_digits=10)), ('order_total', models.DecimalField(decimal_places=2, default=0.0, max_digits=10)), ('status', models.CharField(choices=[('created', 'Created'), ('paid', 'Paid'), ('shipped', 'Shipped'), ('refunded', 'Refunded')], max_length=120)), ('cart', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to='cart.cart')), ], ), ]

[ "goldenhany94@gmail.com" ]

goldenhany94@gmail.com

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""" #Trains a ResNet on the CIFAR10 dataset. """ from __future__ import print_function import keras from keras.layers import Dense, Conv2D, BatchNormalization, Activation from keras.layers import AveragePooling2D, Input, Flatten from keras.optimizers import Adam from keras.callbacks import ModelCheckpoint, LearningRateScheduler from keras.callbacks import ReduceLROnPlateau, TensorBoard from keras.preprocessing.image import ImageDataGenerator from keras.regularizers import l2 from keras import backend as K from keras.models import Model from keras.datasets import cifar10 from keras.applications.vgg16 import VGG16 from keras.applications.vgg19 import VGG19 from keras import models, layers, optimizers from datetime import datetime import tensorflow as tf import numpy as np import os import pdb import sys import argparse import time import signal import glob import json import send_signal parser = argparse.ArgumentParser(description='Tensorflow Cifar10 Training') parser.add_argument('--tc', metavar='TESTCASE', type=str, help='specific testcase name') parser.add_argument('--resume', dest='resume', action='store_true', help='if True, resume training from a checkpoint') parser.add_argument('--gpu_num', metavar='GPU_NUMBER', type=str, help='select which gpu to use') parser.add_argument('--node', metavar='HOST_NODE', type=str, help='node of the host (scheduler)') parser.set_defaults(resume=False) args = parser.parse_args() os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID" os.environ["CUDA_VISIBLE_DEVICES"]=args.gpu_num # Training parameters batch_size = 64 args_lr = 0.008 args_model = 'vgg16' epoch_begin_time = 0 job_name = sys.argv[0].split('.')[0] save_files = '/scratch/li.baol/checkpoint_final1/' + job_name + '*' total_epochs = 8 starting_epoch = 0 # first step is to update the PID pid = os.getpid() message = job_name + ' pid ' + str(pid) # 'job50 pid 3333' send_signal.send(args.node, 10002, message) if args.resume: save_file = glob.glob(save_files)[0] # epochs = int(save_file.split('/')[4].split('_')[1].split('.')[0]) starting_epoch = int(save_file.split('/')[4].split('.')[0].split('_')[-1]) data_augmentation = True num_classes = 10 # Subtracting pixel mean improves accuracy subtract_pixel_mean = True n = 3 # Model name, depth and version model_type = args.tc #'P100_resnet50_he_256_1' # Load the CIFAR10 data. (x_train, y_train), (x_test, y_test) = cifar10.load_data() # Normalize data. x_train = x_train.astype('float32') / 255 x_test = x_test.astype('float32') / 255 # If subtract pixel mean is enabled if subtract_pixel_mean: x_train_mean = np.mean(x_train, axis=0) x_train -= x_train_mean x_test -= x_train_mean print('x_train shape:', x_train.shape) print(x_train.shape[0], 'train samples') print(x_test.shape[0], 'test samples') print('y_train shape:', y_train.shape) # Convert class vectors to binary class matrices. y_train = keras.utils.to_categorical(y_train, num_classes) y_test = keras.utils.to_categorical(y_test, num_classes) if args.resume: print('resume from checkpoint') message = job_name + ' b_end' send_signal.send(args.node, 10002, message) model = keras.models.load_model(save_file) message = job_name + ' c_end' send_signal.send(args.node, 10002, message) else: print('train from start') model = models.Sequential() if '16' in args_model: base_model = VGG16(weights=None, include_top=False, input_shape=(32, 32, 3), pooling=None) elif '19' in args_model: base_model = VGG19(weights=None, include_top=False, input_shape=(32, 32, 3), pooling=None) #base_model.summary() #pdb.set_trace() model.add(base_model) model.add(layers.Flatten()) model.add(layers.BatchNormalization()) model.add(layers.Dense(128, activation='relu'))#, kernel_initializer='he_uniform')) #model.add(layers.Dropout(0.2)) model.add(layers.BatchNormalization()) model.add(layers.Dense(64, activation='relu'))#, kernel_initializer='he_uniform')) #model.add(layers.Dropout(0.2)) model.add(layers.BatchNormalization()) model.add(layers.Dense(10, activation='softmax'))#, kernel_initializer='he_uniform')) model.compile(loss='categorical_crossentropy', optimizer=Adam(lr=args_lr), metrics=['accuracy']) #model.summary() print(model_type) #pdb.set_trace() current_epoch = 0 ################### connects interrupt signal to the process ##################### def terminateProcess(signalNumber, frame): # first record the wasted epoch time global epoch_begin_time if epoch_begin_time == 0: epoch_waste_time = 0 else: epoch_waste_time = int(time.time() - epoch_begin_time) message = job_name + ' waste ' + str(epoch_waste_time) # 'job50 waste 100' if epoch_waste_time > 0: send_signal.send(args.node, 10002, message) print('checkpointing the model triggered by kill -15 signal') # delete whatever checkpoint that already exists for f in glob.glob(save_files): os.remove(f) model.save('/scratch/li.baol/checkpoint_final1/' + job_name + '_' + str(current_epoch) + '.h5') print ('(SIGTERM) terminating the process') message = job_name + ' checkpoint' send_signal.send(args.node, 10002, message) sys.exit() signal.signal(signal.SIGTERM, terminateProcess) ################################################################################# logdir = '/scratch/li.baol/tsrbrd_log/job_runs/' + model_type + '/' + job_name tensorboard_callback = TensorBoard(log_dir=logdir)#, update_freq='batch') first_epoch_start = 0 class PrintEpoch(keras.callbacks.Callback): def on_epoch_begin(self, epoch, logs=None): global current_epoch, first_epoch_start #remaining_epochs = epochs - epoch current_epoch = epoch print('current epoch ' + str(current_epoch)) global epoch_begin_time epoch_begin_time = time.time() if epoch == starting_epoch and args.resume: first_epoch_start = time.time() message = job_name + ' d_end' send_signal.send(args.node, 10002, message) elif epoch == starting_epoch: first_epoch_start = time.time() if epoch == starting_epoch: # send signal to indicate checkpoint is qualified message = job_name + ' ckpt_qual' send_signal.send(args.node, 10002, message) def on_epoch_end(self, epoch, logs=None): if epoch == starting_epoch: first_epoch_time = int(time.time() - first_epoch_start) message = job_name + ' 1st_epoch ' + str(first_epoch_time) send_signal.send(args.node, 10002, message) progress = round((epoch+1) / round(total_epochs/2), 2) message = job_name + ' completion ' + str(progress) send_signal.send(args.node, 10002, message) my_callback = PrintEpoch() callbacks = [tensorboard_callback, my_callback] #[checkpoint, lr_reducer, lr_scheduler, tensorboard_callback] # Run training model.fit(x_train, y_train, batch_size=batch_size, epochs=round(total_epochs/2), validation_data=(x_test, y_test), shuffle=True, callbacks=callbacks, initial_epoch=starting_epoch, verbose=1 ) # Score trained model. scores = model.evaluate(x_test, y_test, verbose=1) print('Test loss:', scores[0]) print('Test accuracy:', scores[1]) # send signal to indicate job has finished message = job_name + ' finish' send_signal.send(args.node, 10002, message)

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__author__ = 'IBM' #coding:utf-8 import requests import time from bs4 import BeautifulSoup #抓取网页的函数 def get_html(url): try: r = requests.get(url, timeout=30) r.raise_for_status() r.encoding = 'utf-8' return r.text except: return " ERROR " def get_content(url): ''' 爬取每一类型小说排行榜，按顺序写入文件，文件内容为小说名字+小说链接将内容保存到列表并且返回一个装满url链接的列表 ''' url_list = [] html = get_html(url) soup = BeautifulSoup(html, 'lxml') # 由于小说排版的原因，历史类和完本类小说不在一个div里 category_list = soup.find_all('div', class_='index_toplist mright mbottom') #历史类和完本类小说 history_finished_list = soup.find_all('div', class_='index_toplist mbottom') for cate in category_list: name = cate.find('div', class_='toptab').span.string with open('novel_list.csv', 'a+') as f: f.write("\n小说种类：{} \n".format(name)) print('-------------------小说种类1：',name,'-------------------') # 我们直接通过style属性来定位总排行榜 general_list = cate.find(style='display: block;') # 找到全部的小说名字，发现他们全部都包含在li标签之中 book_list = general_list.find_all('li') # 循环遍历出每一个小说的的名字，以及链接 for book in book_list: link = 'http://www.qu.la/' + book.a['href'] title = book.a['title'] # 我们将所有文章的url地址保存在一个列表变量里 url_list.append(link) # 这里使用a模式，防止清空文件 with open('novel_list.csv', 'a') as f: f.write("小说名：{:<} \t 小说地址：{:<} \n".format(title, link)) print('小说名：',title,' 小说地址:',link) for cate in history_finished_list: name = cate.find('div', class_='toptab').span.string with open('novel_list.csv', 'a') as f: f.write("\n小说种类：{} \n".format(name)) print('-------------------小说种类2：',name,'-------------------') general_list = cate.find(style='display: block;') book_list = general_list.find_all('li') for book in book_list: link = 'http://www.qu.la/' + book.a['href'] title = book.a['title'] url_list.append(link) with open('novel_list.csv', 'a') as f: f.write("小说名：{:<} \t 小说地址：{:<} \n".format(title, link)) print('小说名：',title,' 小说地址:',link) return url_list def get_txt_url(url): ''' 获取该小说每个章节的url地址：并创建小说文件 ''' url_list = [] html = get_html(url) soup = BeautifulSoup(html, 'lxml') lista = soup.find_all('dd') txt_name = soup.find('h1').text.strip() with open('novel/{}.txt'.format(txt_name), "a+", encoding='utf-8') as f: f.write('小说标题：{} \n'.format(txt_name)) for url in lista: url_list.append('http://www.qu.la/' + url.a['href']) return url_list, txt_name def get_one_txt(url, txt_name): ''' 获取小说每个章节的文本并写入到本地 ''' #print('下载小说：',txt_name,' ',url) html = get_html(url).replace('<br/>', '\n') soup = BeautifulSoup(html, 'lxml') try: txt = soup.find('div', id='content').text.replace('chaptererror();', '') title = soup.find('title').text with open('novel/{}.txt'.format(txt_name), "a",encoding='utf-8') as f: f.write(title + '\n\n') f.write(txt) print('当前小说：{} 当前章节{} 已经下载完毕'.format(txt_name, title)) except: print('someting wrong') url = 'http://www.qu.la/paihangbang/' if __name__ == "__main__": url_list = get_content(url) for url in url_list: one_novel_url_list = get_txt_url(url) #print('one_novel_url_list:',one_novel_url_list) for url in one_novel_url_list[0]: get_one_txt(url,one_novel_url_list[1])

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import numpy as np #print(help(np.arange)) print(np.arange(1,10)) print(np.arange(3.)) print(np.arange(1,20,2)) print(np.arange(20, dtype= "complex")) print(np.arange(1,10,2,dtype= "float"))

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/jaraco/net/http/cookies.py

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import pathlib import collections import http.cookiejar import contextlib import jsonpickle class Shelf(collections.abc.MutableMapping): """ Similar to Python's shelve.Shelf, implements a persistent dictionary using jsonpickle. >>> fn = getfixture('tmp_path') / 'shelf.json' >>> shelf = Shelf(fn) >>> shelf['foo'] = 'bar' >>> copy = Shelf(fn) >>> copy['foo'] 'bar' >>> shelf['bar'] = 'baz' >>> Shelf(fn)['bar'] 'baz' """ def __init__(self, filename): self.filename = pathlib.Path(filename) self.store = dict() with contextlib.suppress(Exception): self._load() def _load(self): self.store = jsonpickle.decode(self.filename.read_text(encoding='utf-8')) def _save(self): self.filename.write_text(jsonpickle.encode(self.store), encoding='utf-8') def __getitem__(self, *args, **kwargs): return self.store.__getitem__(*args, **kwargs) def __setitem__(self, *args, **kwargs): self.store.__setitem__(*args, **kwargs) self._save() def __delitem__(self, *args, **kwargs): self.store.__delitem__(*args, **kwargs) self._save() def __iter__(self): return self.store.__iter__() def __len__(self): return self.store.__len__() class ShelvedCookieJar(http.cookiejar.CookieJar): """ Cookie jar backed by a shelf. Automatically persists cookies to disk. """ def __init__(self, shelf: Shelf, **kwargs): super().__init__(**kwargs) self._cookies = self.shelf = shelf @classmethod def create(cls, root: pathlib.Path = pathlib.Path(), name='cookies.json', **kwargs): return cls(Shelf(root / name), **kwargs) def set_cookie(self, cookie): with self._cookies_lock: self.shelf.setdefault(cookie.domain, {}).setdefault(cookie.path, {})[ cookie.name ] = cookie self.shelf._save() def clear(self, domain=None, path=None, name=None): super().clear(domain, path, name) if path is not None or name is not None: self.shelf._save() def get(self, name, default=None): matches = ( cookie.value for domain in self.shelf for path in self.shelf[domain] for cookie in self.shelf[domain][path].values() if cookie.name == name ) return next(matches, default)

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from collections.abc import Awaitable, Callable, Iterator, Sequence from datetime import date, datetime, timedelta from numbers import Real from typing import Any, Type, TypeVar, Union, overload _T = TypeVar("_T") _Freezable = Union[str, datetime, date, timedelta] class TickingDateTimeFactory(object): def __init__(self, time_to_freeze: datetime, start: datetime) -> None: ... def __call__(self) -> datetime: ... class FrozenDateTimeFactory(object): def __init__(self, time_to_freeze: datetime) -> None: ... def __call__(self) -> datetime: ... def tick(self, delta: float | Real | timedelta = ...) -> None: ... def move_to(self, target_datetime: _Freezable | None) -> None: ... class StepTickTimeFactory(object): def __init__(self, time_to_freeze: datetime, step_width: float) -> None: ... def __call__(self) -> datetime: ... def tick(self, delta: timedelta | None = ...) -> None: ... def update_step_width(self, step_width: float) -> None: ... def move_to(self, target_datetime: _Freezable | None) -> None: ... class _freeze_time: def __init__( self, time_to_freeze_str: _Freezable | None, tz_offset: float, ignore: Sequence[str], tick: bool, as_arg: bool, auto_tick_seconds: float, ) -> None: ... @overload def __call__(self, func: Type[_T]) -> Type[_T]: ... @overload def __call__(self, func: Callable[..., Awaitable[_T]]) -> Callable[..., Awaitable[_T]]: ... @overload def __call__(self, func: Callable[..., _T]) -> Callable[..., _T]: ... def __enter__(self) -> Any: ... def __exit__(self, *args: Any) -> None: ... def start(self) -> Any: ... def stop(self) -> None: ... def decorate_class(self, klass: Type[_T]) -> _T: ... def decorate_coroutine(self, coroutine: _T) -> _T: ... def decorate_callable(self, func: Callable[..., _T]) -> Callable[..., _T]: ... def freeze_time( time_to_freeze: _Freezable | Callable[..., _Freezable] | Iterator[_Freezable] | None = ..., tz_offset: float | None = ..., ignore: Sequence[str] | None = ..., tick: bool | None = ..., as_arg: bool | None = ..., auto_tick_seconds: float | None = ..., ) -> _freeze_time: ...

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# pip install pypiwin32 import win32gui import time import csv file_name = 'tab_text_dataset.csv' browser_list = [' - Chrome', ' - Internet Explorer'] window = '' while True: current_window = win32gui.GetWindowText(win32gui.GetForegroundWindow()) if window != current_window: window = current_window print(window) for browser in browser_list: if browser in window: window = window.replace(browser,'') with open(file_name, 'a', newline='') as f: wr = csv.writer(f, lineterminator='\n') wr.writerow([window]) f.close() window = window + browser time.sleep(1)

[ "noreply@github.com" ]

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# encoding: utf-8 # module nis # from /usr/lib/python3.4/lib-dynload/nis.cpython-34m-arm-linux-gnueabihf.so # by generator 1.145 """ This module contains functions for accessing NIS maps. """ # no imports # functions def cat(map, domain=None): # real signature unknown; restored from __doc__ """ cat(map, domain = defaultdomain) Returns the entire map as a dictionary. Optionally domain can be specified but it defaults to the system default domain. """ pass def get_default_domain(): # real signature unknown; restored from __doc__ """ get_default_domain() -> str Corresponds to the C library yp_get_default_domain() call, returning the default NIS domain. """ return "" def maps(domain=None): # real signature unknown; restored from __doc__ """ maps(domain = defaultdomain) Returns an array of all available NIS maps within a domain. If domain is not specified it defaults to the system default domain. """ pass def match(key, map, domain=None): # real signature unknown; restored from __doc__ """ match(key, map, domain = defaultdomain) Corresponds to the C library yp_match() call, returning the value of key in the given map. Optionally domain can be specified but it defaults to the system default domain. """ pass # classes class error(Exception): # no doc def __init__(self, *args, **kwargs): # real signature unknown pass __weakref__ = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """list of weak references to the object (if defined)""" # variables with complex values __loader__ = None # (!) real value is '' __spec__ = None # (!) real value is ''

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import pyaf.Bench.TS_datasets as tsds import pyaf.tests.artificial.process_artificial_dataset as art art.process_dataset(N = 1024 , FREQ = 'D', seed = 0, trendtype = "LinearTrend", cycle_length = 5, transform = "Quantization", sigma = 0.0, exog_count = 0, ar_order = 12);

[ "antoine.carme@laposte.net" ]

antoine.carme@laposte.net

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no_license

AhmedOmi/holbertonschool-machine_learning

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#!/usr/bin/env python3 """Predict mean and standard deviation of points in Gaussian Process""" import numpy as np class GaussianProcess: """Hold state and data of a gaussian process""" def __init__(self, X_init, Y_init, l=1, sigma_f=1): self.X = X_init self.Y = Y_init self.l = l self.sigma_f = sigma_f self.K = self.kernel(X_init, X_init) def kernel(self, X1, X2): """Radial Basis Function Kernel""" return pow(self.sigma_f, 2) * np.exp(pow(X1 - X2.T, 2) / -2 / pow(self.l, 2)) def predict(self, X_s): """Predict mean and standard deviation of points in Gaussian Process""" K_s = self.kernel(X_s, self.X) K_i = np.linalg.inv(self.K) mu = np.matmul(np.matmul(K_s, K_i), self.Y)[:, 0] K_s2 = self.kernel(X_s, X_s) sigma = K_s2 - np.matmul(np.matmul(K_s, K_i), K_s.T) return mu, np.diagonal(sigma)

[ "ahmedomarmiledi@gmail.com" ]

ahmedomarmiledi@gmail.com

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/123.py

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549982170/python_learning

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refs/heads/master

2021-06-22T04:32:06.286691

2020-12-10T03:29:56

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#!/usr/bin/env python # encoding: utf-8 import time from selenium import webdriver # create a new Firefox session driver = webdriver.Firefox() #time.sleep(3) #driver.maximize_window() # navigate to the application home page driver.get("http://moxian.com/") driver.find_elements_by_xpath("/html/body/div[1]/div[1]/div/p/a[1]") time.sleep(3) driver.close()

[ "549982170@qq.com" ]

549982170@qq.com

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/facepad_app/migrations/0005_auto_20160321_2211.py

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[]

no_license

rolycg/tiny_social_network

041f6e4ab503bb82eca4cf1efb436d3b5250343a

e7ec45d053d291d53bd9d58bbb882b4b3edb6355

refs/heads/master

2021-01-10T04:27:16.344700

2016-03-23T18:19:49

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# -*- coding: utf-8 -*- # Generated by Django 1.9.1 on 2016-03-22 04:11 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('facepad_app', '0004_auto_20160321_1853'), ] operations = [ migrations.AlterField( model_name='simpleuser', name='avatar', field=models.ImageField(blank=True, null=True, upload_to='avatars/', verbose_name='Avatar'), ), ]

[ "rolycg89@gmail.com" ]

rolycg89@gmail.com

b5c6b72e3cdb5fcf8c1a97044664e4ffdb313025

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/Pico/MicroPython/mqtt/oneWire01.py

023100ff032111861ebea42335dfc18ee346c6f9

[]

no_license

robingreig/raspi-git

5cbdd295c1048a0571aa2c2f8576438269439f07

7373bf94557d7a88c8f343362ba64f9cd19c8ce7

refs/heads/master

2023-08-31T03:16:17.286700

2023-08-26T11:54:23

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import time import network import machine from machine import Pin from onewire import OneWire from ds18x20 import DS18X20 import binascii ds = DS18X20(OneWire(Pin(16))) roms = ds.scan() sensor = (0x28,0xff,0xa1,0x58,0x74,0x16,0x04,0x24) while True: try: # convert temp in DS18B20 ds.convert_temp() # have to wait at least 750mS after conver time.sleep_ms(1000) # read temp from the sensor temp1 = ds.read_temp(sensor) print('sensor temp1 = ',temp1) time.sleep(2) # format the value to 2 decimal places temp1 = "%3.2f" % temp1 print('Formatted temp1 = ',temp1) time.sleep(2) # roms is ds.scan() for rom in roms: print('rom = ',rom) # convert from bytearray to bytes str1 = bytes(rom) print('Type of str1 = ',(type(str1))) print('str1 = ',str1) # convert from bytes to hex string str2 = binascii.hexlify(rom) print('Type of str2 = ',(type(str2))) print('str2 = ',str2) # remove the b' str3 = str2.decode() print('Type of str3 = ',(type(str3))) print('str3 = ',str3) # Read the temp from the sensor temp2 = (ds.read_temp(rom)) print('temp2 = ',temp2) temp2 = "%3.2f" % temp2 print('Formatted temp2 = ',temp2) time.sleep(2) pass except: print('Jumped out of Try loop') break

[ "robin.greig@calalta.com" ]

robin.greig@calalta.com

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/bai__83+84/BaiTapRenLuyenXuLyList.py

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[]

no_license

thanh-falis/Python

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refs/heads/main

2023-08-18T17:34:29.851365

2021-09-30T12:09:30

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""" Viết chương trình cho phép: - Khởi tạo list - Thêm phần tử vào list - Nhập K, kiểm tra K xuât hiện bao nhiêu lần trong list - Tính tổng các số nguyên tố trong list - Sắp xếp - Xóa list """ from random import randrange print("Chương trình xử lý list") n = int(input("Nhập só phần tử: ")) lst = [0] * n for i in range(n): lst[i] = randrange(-100, 100) print("List đa chiều ngẫu nhiên:") print(lst) print("Mời bạn nhập thêm số mới:") value = int(input()) lst.append(value) print(lst) print("Bạn muốn đếm số nào") k = int(input()) cnt = lst.count(k) print(k, "Xuất hiện trong list: ", cnt, "lần") def CheckPrime(n): d = 0 for i in range(1, n + 1): if n % i == 0: d += 1 return d == 2 cnt = 0 snt = 0 for j in lst: if CheckPrime(j): cnt += 1 snt += j print("Có ", cnt, "số nguyên tố trong list") print("Tổng =", snt) lst.sort() print("List sau khi sort") print(lst) del lst print("List sau khi xóa") print(lst)

[ "thanhelma2020|@gmail.com" ]

thanhelma2020|@gmail.com

2ff4e36d146af072dbdcbaa1de46ca96971cfa6e

c4ecc70400f3c4375dd4b2335673137dd36b72b4

/aggregator.py

da003c58f45e82acd48d5a01021b9f07bfba9137

[ "MIT" ]

permissive

TippyFlitsUK/FarmXero

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refs/heads/main

2023-07-05T14:49:57.186130

2021-08-19T19:33:48

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py

# This aggregates the Table data from the scrapers and creates journals # Also writes data to a file for accurate record keeping. import json import datetime import time import os import sys import argparse import FilfoxScraper import Addresses import coingeckoScraper import xeroAccounts as xa import data_folders try: from xero_python.accounting import ManualJournal, ManualJournalLine except: print('you need to activate the environment run the following:') print('source venv/bin/activate') # from xero_python.accounting import AccountingApi, ManualJournal, ManualJournalLine def nanoFilToFil(nanoFil): return nanoFil*(10**-18) def getJournalForDay(day, printJnl=True, archive=data_folders.JOURNAL_ARCHIVE): walletAddress = Addresses.minerAddress startDate = day endDate = day + datetime.timedelta(days=1) # Generate the miner wallet table table = FilfoxScraper.getMessageTableForDateRange(startDate, endDate, walletAddress) # Append transactions from the other wallets for w in Addresses.wallets: wTable = FilfoxScraper.getMessageTableForDateRange(startDate, endDate, w) table += wTable msgFn = data_folders.MESSAGE_ARCHIVE + 'msgs_' + startDate.strftime('%Y-%m-%d') + '.csv' FilfoxScraper.writeTableToCSV(msgFn, table) blocksWon = FilfoxScraper.getBlocksTableForDateRange(startDate, endDate, walletAddress) blockFn = data_folders.BLOCKS_ARCHIVE + 'blocks_' + startDate.strftime('%Y-%m-%d') + '.csv' FilfoxScraper.writeBlockTableToCSV(blockFn, blocksWon) transfers = 0 collat = 0 minerFee = 0 burnFee = 0 slash = 0 numTransactions = 0 blockRewards = 0 numBlocksWon = 0 for r in table: transfers = transfers + r['transfer'] collat = collat + r['collateral'] minerFee = minerFee + r['miner-fee'] burnFee = burnFee + r['burn-fee'] slash = slash + r['slash'] numTransactions = numTransactions + 1 for b in blocksWon: blockRewards = blockRewards + int(b['win']) numBlocksWon = numBlocksWon + 1 nCollat = "Collat: " + str(nanoFilToFil(collat)) + " FIL" nMinerFee = "Miner Fee: " + str(nanoFilToFil(minerFee)) + " FIL" nBurnFee = "Burn Fee: " + str(nanoFilToFil(burnFee)) + " FIL" nSlash = "Slash: " + str(nanoFilToFil(slash)) + " FIL" nTransfers = "Transfers: " + str(nanoFilToFil(transfers)) + " FIL" nBlockRewards = "Block Rewards: " + str(nanoFilToFil(blockRewards)) + " FIL (" + str(numBlocksWon)+") blocks won" nMinerBalance = "Miner Balance: " #+ str(nanoFilToFil(minerBalance)) + "FIL" exchRate = coingeckoScraper.getFilecoinNZDPriceOnDay(day) collatNzd = round(nanoFilToFil(collat) * exchRate, 2) minerFeeNzd = round(nanoFilToFil(minerFee) * exchRate, 2) burnFeeNzd = round(nanoFilToFil(burnFee) * exchRate, 2) slashNzd = round(nanoFilToFil(slash) * exchRate, 2) transfersNzd = -round(nanoFilToFil(transfers) * exchRate, 2)#positive transfers (into miner) come from credits therefore -ve blockRewardsNzd = -round(nanoFilToFil(blockRewards) * exchRate, 2)#Rewards are credits therefore are -ve minerBalanceNzd = -(transfersNzd + collatNzd + minerFeeNzd + burnFeeNzd + slashNzd + blockRewardsNzd) jnlNarration = 'Filfox data for the day ' + startDate.strftime('%d-%m-%Y') #+ ' to ' + endDate.strftime('%d-%m-%Y') jnlLinesAll = [ ManualJournalLine(line_amount=collatNzd, account_code=xa.COLLAT, description=nCollat), ManualJournalLine(line_amount=minerFeeNzd, account_code=xa.MINER_FEE, description=nMinerFee), ManualJournalLine(line_amount=burnFeeNzd, account_code=xa.BURN_FEE, description=nBurnFee), ManualJournalLine(line_amount=slashNzd, account_code=xa.SLASH, description=nSlash), ManualJournalLine(line_amount=transfersNzd, account_code=xa.TRANSFERS, description=nTransfers), ManualJournalLine(line_amount=blockRewardsNzd, account_code=xa.BLOCK_REWARDS, description=nBlockRewards), ManualJournalLine(line_amount=minerBalanceNzd, account_code=xa.MINER_BALANCE, description=nMinerBalance) ] jnlLines = [] for l in jnlLinesAll: if(abs(l.line_amount) >= 0.01): jnlLines.append(l) mj = ManualJournal(narration=jnlNarration, journal_lines=jnlLines, date=startDate) if(archive != 'none'): ARCHIVE_HEADER = 'date, narration, \ collat, Miner Fee, Burn Fee, Slash, Transfers, Block rewards, \ Blocks won, exch rate, \ NZD collat, NZD Miner Fee, NZD Burn Fee, NZD Slash, NZD Transfers, NZD Block rewards, NZD Balance\n' if(os.path.exists(archive) == False): with open(archive, 'w+') as f: f.write(ARCHIVE_HEADER) csvLine = startDate.strftime('%d-%m-%Y')+','+str(jnlNarration)+','+\ str(collat)+','+str(minerFee)+','+str(burnFee)+','+str(slash)+','+str(transfers)+','+str(blockRewards)+','+\ str(numBlocksWon)+','+str(exchRate)+','+\ str(collatNzd)+','+str(minerFeeNzd)+','+str(burnFeeNzd)+','+str(slashNzd)+','+str(transfersNzd)+','+str(blockRewardsNzd)+','+str(minerBalanceNzd)+'\n' with open(archive, 'a') as f: f.write(csvLine) if(printJnl): print(jnlNarration) print('Dr collat (601)' + str(collatNzd)) # collat is represented within miner balance print('Dr miner fee (311)' + str(minerFeeNzd)) print('Dr burn fee (312)' + str(burnFeeNzd)) print('Dr slash (319)' + str(slashNzd)) print('Dr/cr transfers (990)' + str(transfersNzd)) #These are transferred out of info.farm accounts for now print(' Cr block rewards (200)' + str(blockRewardsNzd)) print(' Cr minerbalance (601) ' + str(minerBalanceNzd)) print('values in NZD') print('blocks won: ' + str(numBlocksWon)) return mj if __name__ == '__main__': #print('you ran the aggregator stand alone: warning no journals posted to Xero') p = argparse.ArgumentParser(description='Python Aggregator') p.add_argument('-d', '--day', help='Day you want in format yyyy-mm-dd', required=True) p.add_argument('-p', '--print', help='Print the journal to std out', required=False, default=True) p.add_argument('-a', '--archive', help='Path for CSV output (default '+data_folders.JOURNAL_ARCHIVE+') or "none" for no archive', required=False, default=data_folders.JOURNAL_ARCHIVE) args = p.parse_args() day = datetime.datetime.strptime(args.day, "%Y-%m-%d") getJournalForDay(day, args.print, args.archive) # getJournalForDay(datetime.date(2020,11,1))

[ "ben.norquay@gmail.com" ]

ben.norquay@gmail.com

c53abe85917f5c583e0e2c182c85a9f49ef08c4f

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/protected/api/urls.py

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[]

no_license

Ryanb58/cas-app

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refs/heads/master

2020-03-08T06:14:05.973338

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2018-04-24T19:47:55

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py

""" """ from django.conf.urls import url, include from api.views import Me urlpatterns = [ url('^me/$', Me.as_view()), ]

[ "btimby@gmail.com" ]

btimby@gmail.com

b5d479d41474d8731c2cfd3f260974e30e31840c

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/lis/specimen/lab_aliquot_list/admin/main.py

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[]

no_license

botswana-harvard/lis

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48dc601ae05e420e8f3ebb5ea398f44f02b2e5e7

refs/heads/master

2020-12-29T01:31:07.821681

2018-06-24T06:06:57

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from django.contrib import admin from ..models import AliquotCondition, AliquotType class AliquotTypeAdmin(admin.ModelAdmin): list_display = ('alpha_code', 'numeric_code', 'name', 'created', 'modified') ordering = ['name'] admin.site.register(AliquotType, AliquotTypeAdmin) class AliquotConditionAdmin(admin.ModelAdmin): list_display = ('display_index', 'name', 'short_name', 'field_name', 'created', 'modified') ordering = ['display_index'] admin.site.register(AliquotCondition, AliquotConditionAdmin)

[ "ckgathi@gmail.com" ]

ckgathi@gmail.com

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/src/fava/core/watcher.py

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[ "MIT" ]

permissive

dallaslu/fava

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refs/heads/main

2023-08-23T19:29:52.357402

2021-10-16T02:35:21

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MIT

2021-10-16T02:22:01

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"""A simple file and folder watcher.""" import os from typing import Iterable from typing import List class Watcher: """A simple file and folder watcher. For folders, only checks mtime of the folder and all subdirectories. So a file change won't be noticed, but only new/deleted files. """ __slots__ = ["_files", "_folders", "_last_checked"] def __init__(self) -> None: self._files: List[str] = [] self._folders: List[str] = [] self._last_checked = 0 def update(self, files: Iterable[str], folders: Iterable[str]) -> None: """Update the folders/files to watch. Args: files: A list of file paths. folders: A list of paths to folders. """ self._files = list(files) self._folders = list(folders) self.check() def check(self) -> bool: """Check for changes. Returns: `True` if there was a file change in one of the files or folders, `False` otherwise. """ latest_mtime = 0 for path in self._files: try: mtime = os.stat(path).st_mtime_ns except FileNotFoundError: return True if mtime > latest_mtime: latest_mtime = mtime for path in self._folders: for dirpath, _, _ in os.walk(path): mtime = os.stat(dirpath).st_mtime_ns if mtime > latest_mtime: latest_mtime = mtime changed = bool(latest_mtime != self._last_checked) self._last_checked = latest_mtime return changed

[ "mail@jakobschnitzer.de" ]

mail@jakobschnitzer.de

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/mitmproxy/tools/web/webaddons.py

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[ "MIT" ]

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tinycarrot/mitmproxy

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db32d0522c2cc89e13af083372dbb3ba50a5d27f

refs/heads/master

2020-06-23T00:59:14.425231

2019-11-29T15:49:24

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class WebAddon: def load(self, loader): loader.add_option( "web_open_browser", bool, True, "Start a browser." ) loader.add_option( "web_debug", bool, False, "Enable mitmweb debugging." ) loader.add_option( "web_port", int, 8081, "Web UI port." ) loader.add_option( "web_iface", str, "127.0.0.1", "Web UI interface." )

[ "git@maximilianhils.com" ]

git@maximilianhils.com

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/devel/lib/python2.7/dist-packages/webots_ros/msg/_StringStamped.py

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[]

no_license

Dangko/webots_differential_car

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188fe93c2fb8d2e681b617df78b93dcdf52e09a9

refs/heads/master

2023-06-02T16:40:58.472884

2021-06-14T09:19:58

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# This Python file uses the following encoding: utf-8 """autogenerated by genpy from webots_ros/StringStamped.msg. Do not edit.""" import codecs import sys python3 = True if sys.hexversion > 0x03000000 else False import genpy import struct import std_msgs.msg class StringStamped(genpy.Message): _md5sum = "c99a9440709e4d4a9716d55b8270d5e7" _type = "webots_ros/StringStamped" _has_header = True # flag to mark the presence of a Header object _full_text = """Header header string data ================================================================================ MSG: std_msgs/Header # Standard metadata for higher-level stamped data types. # This is generally used to communicate timestamped data # in a particular coordinate frame. # # sequence ID: consecutively increasing ID uint32 seq #Two-integer timestamp that is expressed as: # * stamp.sec: seconds (stamp_secs) since epoch (in Python the variable is called 'secs') # * stamp.nsec: nanoseconds since stamp_secs (in Python the variable is called 'nsecs') # time-handling sugar is provided by the client library time stamp #Frame this data is associated with string frame_id """ __slots__ = ['header','data'] _slot_types = ['std_msgs/Header','string'] def __init__(self, *args, **kwds): """ Constructor. Any message fields that are implicitly/explicitly set to None will be assigned a default value. The recommend use is keyword arguments as this is more robust to future message changes. You cannot mix in-order arguments and keyword arguments. The available fields are: header,data :param args: complete set of field values, in .msg order :param kwds: use keyword arguments corresponding to message field names to set specific fields. """ if args or kwds: super(StringStamped, self).__init__(*args, **kwds) # message fields cannot be None, assign default values for those that are if self.header is None: self.header = std_msgs.msg.Header() if self.data is None: self.data = '' else: self.header = std_msgs.msg.Header() self.data = '' def _get_types(self): """ internal API method """ return self._slot_types def serialize(self, buff): """ serialize message into buffer :param buff: buffer, ``StringIO`` """ try: _x = self buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs)) _x = self.header.frame_id length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.data length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize(self, str): """ unpack serialized message in str into this message instance :param str: byte array of serialized message, ``str`` """ codecs.lookup_error("rosmsg").msg_type = self._type try: if self.header is None: self.header = std_msgs.msg.Header() end = 0 _x = self start = end end += 12 (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg') else: self.header.frame_id = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.data = str[start:end].decode('utf-8', 'rosmsg') else: self.data = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill def serialize_numpy(self, buff, numpy): """ serialize message with numpy array types into buffer :param buff: buffer, ``StringIO`` :param numpy: numpy python module """ try: _x = self buff.write(_get_struct_3I().pack(_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs)) _x = self.header.frame_id length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) _x = self.data length = len(_x) if python3 or type(_x) == unicode: _x = _x.encode('utf-8') length = len(_x) buff.write(struct.Struct('<I%ss'%length).pack(length, _x)) except struct.error as se: self._check_types(struct.error("%s: '%s' when writing '%s'" % (type(se), str(se), str(locals().get('_x', self))))) except TypeError as te: self._check_types(ValueError("%s: '%s' when writing '%s'" % (type(te), str(te), str(locals().get('_x', self))))) def deserialize_numpy(self, str, numpy): """ unpack serialized message in str into this message instance using numpy for array types :param str: byte array of serialized message, ``str`` :param numpy: numpy python module """ codecs.lookup_error("rosmsg").msg_type = self._type try: if self.header is None: self.header = std_msgs.msg.Header() end = 0 _x = self start = end end += 12 (_x.header.seq, _x.header.stamp.secs, _x.header.stamp.nsecs,) = _get_struct_3I().unpack(str[start:end]) start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.header.frame_id = str[start:end].decode('utf-8', 'rosmsg') else: self.header.frame_id = str[start:end] start = end end += 4 (length,) = _struct_I.unpack(str[start:end]) start = end end += length if python3: self.data = str[start:end].decode('utf-8', 'rosmsg') else: self.data = str[start:end] return self except struct.error as e: raise genpy.DeserializationError(e) # most likely buffer underfill _struct_I = genpy.struct_I def _get_struct_I(): global _struct_I return _struct_I _struct_3I = None def _get_struct_3I(): global _struct_3I if _struct_3I is None: _struct_3I = struct.Struct("<3I") return _struct_3I

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from numpy.testing import assert_raises, assert_warns, assert_, assert_equal from numpy.compat import pickle import sys import subprocess import textwrap from importlib import reload def test_numpy_reloading(): # gh-7844. Also check that relevant globals retain their identity. import numpy as np import numpy._globals _NoValue = np._NoValue VisibleDeprecationWarning = np.VisibleDeprecationWarning ModuleDeprecationWarning = np.ModuleDeprecationWarning with assert_warns(UserWarning): reload(np) assert_(_NoValue is np._NoValue) assert_(ModuleDeprecationWarning is np.ModuleDeprecationWarning) assert_(VisibleDeprecationWarning is np.VisibleDeprecationWarning) assert_raises(RuntimeError, reload, numpy._globals) with assert_warns(UserWarning): reload(np) assert_(_NoValue is np._NoValue) assert_(ModuleDeprecationWarning is np.ModuleDeprecationWarning) assert_(VisibleDeprecationWarning is np.VisibleDeprecationWarning) def test_novalue(): import numpy as np for proto in range(2, pickle.HIGHEST_PROTOCOL + 1): assert_equal(repr(np._NoValue), '<no value>') assert_(pickle.loads(pickle.dumps(np._NoValue, protocol=proto)) is np._NoValue) def test_full_reimport(): """At the time of writing this, it is *not* truly supported, but apparently enough users rely on it, for it to be an annoying change when it started failing previously. """ # Test within a new process, to ensure that we do not mess with the # global state during the test run (could lead to cryptic test failures). # This is generally unsafe, especially, since we also reload the C-modules. code = textwrap.dedent(r""" import sys from pytest import warns import numpy as np for k in list(sys.modules.keys()): if "numpy" in k: del sys.modules[k] with warns(UserWarning): import numpy as np """) p = subprocess.run([sys.executable, '-c', code], capture_output=True) if p.returncode: raise AssertionError( f"Non-zero return code: {p.returncode!r}\n\n{p.stderr.decode()}" )

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browlm13/cartesian_coordinates_to_single_number

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#!/usr/bin/env python import math #import numpy as np import sys """ cartesean coordinates, time parameter conversion using Archimedean Spiral """ def archimedean_spiral_to_cartesean(t, a=sys.float_info.min): pass def archimedean_spiral_from_cartesean(cartesean_pair, a=sys.float_info.min): pass

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aslamup/huffman-coding

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def frequency(str): freqs = {} for ch in str: freqs[ch] = freqs.get(ch,0) + 1 return freqs print frequency('aaabccdeeeeeffg')

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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2019/1/3 10:25 # @Email : billsteve@126.com # @Des : # @File : WeixinModel # @Software: PyCharm from sqlalchemy import Column, Date, String from sqlalchemy.dialects.mysql import INTEGER, TINYINT from sqlalchemy.ext.declarative import declarative_base import XX.Model.SqlAlchemy.BaseModel as BaseModel Base = declarative_base() metadata = Base.metadata class WeixinModel(Base, BaseModel.BaseModel): __tablename__ = 'weixin' id = Column(INTEGER(11), primary_key=True) wx_id = Column(INTEGER(11)) biz = Column(String(32), unique=True) name = Column(String(255)) gh_id = Column(INTEGER(11)) weixin_id = Column(INTEGER(11)) head_img = Column(String(255)) head_img_circle = Column(String(255)) intro = Column(String(255)) no1 = Column(INTEGER(11)) no2 = Column(String(255)) no3 = Column(INTEGER(11)) no4 = Column(INTEGER(11)) no5 = Column(INTEGER(11)) is_del = Column(TINYINT(1)) update_Ts = Column(INTEGER(11)) create_ts = Column(INTEGER(11)) def __init__(self, *arg, **kw): self.biz = kw.get("biz", None) self.create_ts = kw.get("create_ts", None) self.gh_id = kw.get("gh_id", None) self.head_img = kw.get("head_img", None) self.head_img_circle = kw.get("head_img_circle", None) self.id = kw.get("id", None) self.intro = kw.get("intro", None) self.is_del = kw.get("is_del", None) self.metadata = kw.get("metadata", None) self.name = kw.get("name", None) self.no1 = kw.get("no1", None) self.no2 = kw.get("no2", None) self.no3 = kw.get("no3", None) self.no4 = kw.get("no4", None) self.no5 = kw.get("no5", None) self.update_Ts = kw.get("update_Ts", None) self.weixin_id = kw.get("weixin_id", None) self.wx_id = kw.get("wx_id", None) if __name__ == '__main__': BaseModel.createInitFunction(WeixinModel)

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# -*- coding: utf-8 -*- # @Time : 2018/11/6 11:12 # @Author : Hester Xu # @Email : xuruizhu@yeah.net # @File : homework3.py # @Software: PyCharm ''' 有一组用户的登录信息存储在字典 login_info 里面，字典格式如下：login_info={"admin":"root","user_1":"123456"} key表示用户名，value表示密码，请编写函数满足如下条件： 1）设计1个登陆的程序，不同的用户名和对成密码存在个字典里面，输入正确的用户名和密码去登陆， 2）首先输入用户名，如果用户名不存在或者为空，则一直提示输入正确的用户名 3)当用户名正确的时候，提示去输入密码，如果密码跟用户名不对应，则提示密码错误请重新输入。 4)如果密码输入错误超过三次，中断程序运行。 5)当输入密码错误时，提示还有几次机会 6)用户名和密码都输入正确的时候，提示登陆成功! ''' login_info={"admin":"root","user_1":"123456"} username = input("请输入用户名：") while username not in login_info.keys() or False: username = input("请输入正确的用户名：") pwd = input("请输入密码：") def fac(pwd): i = 3 while i <= 3: if pwd in login_info[username]: print("登录成功") break elif i == 0: break print("密码错误，还有{}次机会".format(i)) pwd = input("请重新输入密码：") i -= 1 if pwd in login_info[username]: print("登录成功") else: fac(pwd)

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import sys, re from collections import deque, defaultdict, Counter from math import ceil, sqrt, hypot, factorial, pi, sin, cos, tan, asin, acos, atan, radians, degrees, log2, gcd from itertools import accumulate, permutations, combinations, combinations_with_replacement, product, groupby from operator import itemgetter, mul from copy import deepcopy from string import ascii_lowercase, ascii_uppercase, digits from bisect import bisect, bisect_left, insort, insort_left from heapq import heappush, heappop from functools import reduce def input(): return sys.stdin.readline().strip() def INT(): return int(input()) def MAP(): return map(int, input().split()) def LIST(): return list(map(int, input().split())) def ZIP(n): return zip(*(MAP() for _ in range(n))) sys.setrecursionlimit(10 ** 9) INF = float('inf') #mod = 10 ** 9 + 7 mod = 998244353 from decimal import * #import numpy as np #decimal.getcontext().prec = 10 N = INT() D = LIST() d = Counter(D) if D[0] != 0 or 2 <= d[0]: print(0) exit() ans = 1 for i in range(1, max(d.keys())+1): ans = ans * pow(d[i-1], d[i], mod) % mod tmp = d[i] print(ans)

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chirsxjh/My-project

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''' def ADD(x, list=[]): list.append(x) return list list1 = ADD(10) list2 = ADD(123, []) list3 = ADD('a') print "list1 = %s" %list1 print "list2 = %s" %list2 print "list3 = %s" %list3 ''' a = ['天','干','地','址'] a.reverse() print (a) b = '' for i in a: b = b + str(i) print (b)

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n = int(input()) c = [list(input()) for i in range(n)] ans = 0 for i in range(n): t = c[i].count('C') ans += t*(t-1)//2 c = list(zip(*c)) for i in range(n): t = c[i].count('C') ans += t*(t-1)//2 print(ans)

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########################################################################### # # File: vocalsource.py (directory: py/onyx/signalprocessing) # Date: 2008-07-21 Mon 18:01:50 # Author: Hugh Secker-Walker # Description: Toying around with one-poles for a vocal source # # This file is part of Onyx http://onyxtools.sourceforge.net # # Copyright 2007 - 2009 The Johns Hopkins University # # 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. # ########################################################################### """ Use of coincident one-pole filters to generate reasonable, reversed, glotal pulse waveforms. """ def make_one_pole(alpha): def one_pole(alpha): one_minus_alpha = 1 - alpha y_n = 0 while True: x = yield y_n y_n = alpha * y_n + one_minus_alpha * x send = one_pole(alpha).send send(None) return send def chain(seq): seq = tuple(seq) def gen(): x = None while True: x = yield x for h in seq: x = h(x) send = gen().send send(None) return send def test(): """ >>> op = chain(make_one_pole(0.8) for i in xrange(2)) >>> for x in (1,) + 30 * (0,): print ' ', ' ' * int(1000 * op(x)), '*' * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * >>> for x in (1,) + 25 * (0,) + (.25,) + 30 * (0,): print ' ', ' ' * int(1000 * op(x)), '*' * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * >>> op = chain(make_one_pole(0.6) for i in xrange(3)) >>> for x in (1,) + 20 * (0,): print ' ', ' ' * int(1000 * op(x)), '*' * * * * * * * * * * * * * * * * * * * * * """ if __name__ == '__main__': from onyx import onyx_mainstartup onyx_mainstartup()

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#나쁜예 => C, java에 가까움 def Badsolution(mylist): answer=[] for i in mylist: answer.append(len(i)) return answer def solution(mylist): return list(map(len, mylist)) print(solution([[1,2], [1], [1,2,3]]))

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

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# Generated by Django 3.0.5 on 2021-01-11 16:29 from django.db import migrations def forwards(apps, schema_editor): """ As we add explicitly non-nullable Materialized Paths for Topics in 0038, we need to generate initial values for them once as the app migrates along. This replaces the insignificant "0000" default set in 0039 with real values. """ # Important: this migration must be ran with the Partaj code (especially the Topic model) in # the state of the code at the time of this commit. # We cannot use the regular `Topic = apps.get_model("core", "Topic")` to get the correct # version if the model as we need the custom manager for Topic which is not available from # `apps.get_model` from partaj.core.models.unit import Topic Topic.objects.build_materialized_paths() def backwards(apps, schema_editor): """ As topic Materialized Path fields are added with insignificant values in migration 0038, we can just ignore them here as they should be removed in a migration that goes to 0037, and it would break Partaj to remove them and stay at 0038. """ pass class Migration(migrations.Migration): dependencies = [ ("core", "0038_add_materialized_path_to_topics"), ] operations = [ migrations.RunPython(forwards, reverse_code=backwards), ]

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""" Django settings for real_estate project. Generated by 'django-admin startproject' using Django 3.0.3. For more information on this file, see https://docs.djangoproject.com/en/3.0/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/3.0/ref/settings/ """ import os # Build paths inside the project like this: os.path.join(BASE_DIR, ...) BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__))) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/3.0/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = '1r6gx$qnirqznxr*b^+81t&(s@bwfcwa14zy1+10k=jyn=*tae' # SECURITY WARNING: don't run with debug turned on in production! DEBUG = True ALLOWED_HOSTS = [] # Application definition INSTALLED_APPS = [ 'django.contrib.admin', 'django.contrib.auth', 'django.contrib.contenttypes', 'django.contrib.sessions', 'django.contrib.messages', 'django.contrib.staticfiles', 'pserver', 'pages', 'listings', 'realtor', ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'django.middleware.common.CommonMiddleware', 'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] ROOT_URLCONF = 'real_estate.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [os.path.join(BASE_DIR, 'templates')], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'real_estate.wsgi.application' # Database # https://docs.djangoproject.com/en/3.0/ref/settings/#databases DATABASES = { 'default': { 'ENGINE': 'django.db.backends.sqlite3', 'NAME': os.path.join(BASE_DIR, 'db.sqlite3'), } } # Password validation # https://docs.djangoproject.com/en/3.0/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/3.0/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/3.0/howto/static-files/ STATIC_ROOT = os.path.join(BASE_DIR, 'static') STATIC_URL = '/static/' STATICFILES_DIRS = [ os.path.join(BASE_DIR, 'real_estate/static') ]

[ "david.ukelere291@gmail.com" ]

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#!F:\New folder (2)\Projects\Django\recepi_api\venv\Scripts\python.exe # When the django-admin.py deprecation ends, remove this script. import warnings from django.core import management try: from django.utils.deprecation import RemovedInDjango40Warning except ImportError: raise ImportError( 'django-admin.py was deprecated in Django 3.1 and removed in Django ' '4.0. Please manually remove this script from your virtual environment ' 'and use django-admin instead.' ) if __name__ == "__main__": warnings.warn( 'django-admin.py is deprecated in favor of django-admin.', RemovedInDjango40Warning, ) management.execute_from_command_line()

[ "jahid15-1905@gmail.com" ]

jahid15-1905@gmail.com

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/students/douglas_klos/lesson01/assignment/pytests/test_integration.py

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#pylint: disable=W0201 """Pytest cases for integration testing""" # Douglas Klos # April 5th, 2019 # Python 220, Lesson 01 # test_integration.py from inventory_management.inventory_class import Inventory from inventory_management.furniture_class import Furniture from inventory_management.electric_appliances_class import ElectricAppliances # Feels like integration tests are just rebuilding main # with predefined values and no user input. # Validates that the modules work together though I suppose. # Also 80 width linting does not improve readability # in a language that is all about readability. class TestClass(): """Integration tests for inventory_management Attributes: item_chair (dict) : dictionary for chair item item_microwave (dict) : dictionary for microwave electric appliance item_sofa (dict) : dictionary for sofa furniture full_inventory (dict) : dictionary database of above items inventory_string (str) : string containing all data in full_inventory """ def setup_method(self): """Initialize before each test method""" self.item_chair = {} self.item_microwave = {} self.item_sofa = {} self.full_inventory = {} self.inventory_string = '' self.item_chair['product_code'] = 100 self.item_chair['description'] = 'Chair' self.item_chair['market_price'] = 111 self.item_chair['rental_price'] = 11 self.full_inventory[self.item_chair['product_code']] = \ Inventory(**self.item_chair).return_as_dictionary() self.item_microwave['product_code'] = 200 self.item_microwave['description'] = 'Microwave' self.item_microwave['market_price'] = 222 self.item_microwave['rental_price'] = 22 self.item_microwave['brand'] = 'Samsung' self.item_microwave['voltage'] = 230 self.full_inventory[self.item_microwave['product_code']] = \ ElectricAppliances(**self.item_microwave).return_as_dictionary() self.item_sofa['product_code'] = 300 self.item_sofa['description'] = 'Sofa' self.item_sofa['market_price'] = 333 self.item_sofa['rental_price'] = 33 self.item_sofa['material'] = 'Leather' self.item_sofa['size'] = 'XL' self.full_inventory[self.item_sofa['product_code']] = \ Furniture(**self.item_sofa).return_as_dictionary() for item_code in self.full_inventory: for value in self.full_inventory[item_code].values(): self.inventory_string += f'{value}' def test_integration_chair(self): """Integration test for chair inventory Verifies that all chair related data is present. """ assert str(self.item_chair['product_code']) in self.inventory_string assert str(self.item_chair['description']) in self.inventory_string assert str(self.item_chair['market_price']) in self.inventory_string assert str(self.item_chair['rental_price']) in self.inventory_string def test_integration_microwave(self): """Integration test for microwave electrical applicance Verifies that all microwave related data is present. """ assert str(self.item_microwave['product_code']) in self.inventory_string assert str(self.item_microwave['description']) in self.inventory_string assert str(self.item_microwave['market_price']) in self.inventory_string assert str(self.item_microwave['rental_price'])in self.inventory_string assert str(self.item_microwave['brand']) in self.inventory_string assert str(self.item_microwave['voltage']) in self.inventory_string def test_integration_sofa(self): """Integration test for sofa furniture Verifies that all sofa related data is present. """ assert str(self.item_sofa['product_code']) in self.inventory_string assert str(self.item_sofa['description']) in self.inventory_string assert str(self.item_sofa['market_price']) in self.inventory_string assert str(self.item_sofa['rental_price']) in self.inventory_string assert str(self.item_sofa['material']) in self.inventory_string assert str(self.item_sofa['size']) in self.inventory_string def test_full_string(self): """Integration test We build up a string of all the values in the database then we go through each expected value and remove it. If there's nothing left at the end then we pass """ self.inventory_string = self.inventory_string.replace( str(self.item_chair['product_code']), '') self.inventory_string = self.inventory_string.replace( str(self.item_chair['description']), '') self.inventory_string = self.inventory_string.replace( str(self.item_chair['market_price']), '') self.inventory_string = self.inventory_string.replace( str(self.item_chair['rental_price']), '') self.inventory_string = self.inventory_string.replace( str(self.item_microwave['product_code']), '') self.inventory_string = self.inventory_string.replace( str(self.item_microwave['description']), '') self.inventory_string = self.inventory_string.replace( str(self.item_microwave['market_price']), '') self.inventory_string = self.inventory_string.replace( str(self.item_microwave['rental_price']), '') self.inventory_string = self.inventory_string.replace( str(self.item_microwave['brand']), '') self.inventory_string = self.inventory_string.replace( str(self.item_microwave['voltage']), '') self.inventory_string = self.inventory_string.replace( str(self.item_sofa['product_code']), '') self.inventory_string = self.inventory_string.replace( str(self.item_sofa['description']), '') self.inventory_string = self.inventory_string.replace( str(self.item_sofa['market_price']), '') self.inventory_string = self.inventory_string.replace( str(self.item_sofa['rental_price']), '') self.inventory_string = self.inventory_string.replace( str(self.item_sofa['material']), '') self.inventory_string = self.inventory_string.replace( str(self.item_sofa['size']), '') assert self.inventory_string == ''

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# problem description: https://leetcode.com/problems/subsets/ class Solution: # @param {integer[]} nums # @return {integer[][]} def subsets(self, nums): nums.sort() return self.helper(nums) def helper(self, nums): if not nums: return [[]] res = [] for r in self.helper(nums[1:]): res.append(r) res.append([nums[0]]+r) return res class Solution: # @param {integer[]} nums # @return {integer[][]} def subsets(self, nums): nums.sort() res = [[]] for n in nums: res = res + [r + [n] for r in res] return res

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""" ======================================================= Controlling style of text and labels using a dictionary ======================================================= This example shows how to share parameters across many text objects and labels by creating a dictionary of options passed across several functions. """ import numpy as np import matplotlib.pyplot as plt font = {'family': 'serif', 'color': 'darkred', 'weight': 'normal', 'size': 16, } x = np.linspace(0.0, 5.0, 100) y = np.cos(2*np.pi*x) * np.exp(-x) plt.plot(x, y, 'k') plt.title('Damped exponential decay', fontdict=font) plt.text(2, 0.65, r'$\cos(2 \pi t) \exp(-t)$', fontdict=font) plt.xlabel('time (s)', fontdict=font) plt.ylabel('voltage (mV)', fontdict=font) # Tweak spacing to prevent clipping of ylabel plt.subplots_adjust(left=0.15) plt.show()

[ "nicolas.holzschuch@inria.fr" ]

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# Given a 2d grid map of '1's (land) and '0's (water), count the number of islands. An island is surrounded by water and is formed by connecting adjacent lands horizontally or vertically. You may assume all four edges of the grid are all surrounded by water. # # Example 1: # # # Input: # 11110 # 11010 # 11000 # 00000 # # Output: 1 # # # Example 2: # # # Input: # 11000 # 11000 # 00100 # 00011 # # Output: 3 # class Solution: def numIslands(self, grid): """ :type grid: List[List[str]] :rtype: int """ if len(grid) == 0: return 0 n = len(grid) m = len(grid[0]) result = 0 for i in range(n): for j in range(m): if grid[i][j] == '1': self.DFSisland(grid,i,j) result += 1 return result def DFSisland(self,grid,i,j): if i < 0 or j<0 or i>=len(grid) or j>=len(grid[0]): return if grid[i][j] == '1': grid[i][j] = 0 self.DFSisland(grid,i+1,j) self.DFSisland(grid,i-1,j) self.DFSisland(grid,i,j+1) self.DFSisland(grid,i,j-1)

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andyandwei@163.com

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/src/core/migrations/0123_auto_20191204_1711.py

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# Generated by Django 2.2.7 on 2019-12-04 17:11 from django.db import migrations, models import django.db.models.deletion import tinymce.models class Migration(migrations.Migration): dependencies = [ ('core', '0122_reference_cityloops_comments_import'), ] operations = [ migrations.CreateModel( name='MethodCategory', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=255)), ('description', tinymce.models.HTMLField(blank=True, null=True, verbose_name='description')), ], ), migrations.AddField( model_name='method', name='method_class', field=models.CharField(blank=True, choices=[('3', 'Relation in UM systems'), ('2', 'Flows of substances'), ('1', 'Environmental impacts')], max_length=1, null=True), ), migrations.AddField( model_name='method', name='category', field=models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.CASCADE, to='core.MethodCategory'), ), ]

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# coding: utf-8 """ FlashArray REST API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 2.5 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re import six import typing from ....properties import Property if typing.TYPE_CHECKING: from pypureclient.flasharray.FA_2_5 import models class ArrayConnectionPathResponse(object): """ 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 = { 'items': 'list[ArrayConnectionPath]' } attribute_map = { 'items': 'items' } required_args = { } def __init__( self, items=None, # type: List[models.ArrayConnectionPath] ): """ Keyword args: items (list[ArrayConnectionPath]) """ if items is not None: self.items = items def __setattr__(self, key, value): if key not in self.attribute_map: raise KeyError("Invalid key `{}` for `ArrayConnectionPathResponse`".format(key)) self.__dict__[key] = value def __getattribute__(self, item): value = object.__getattribute__(self, item) if isinstance(value, Property): raise AttributeError else: return value def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): if hasattr(self, attr): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(ArrayConnectionPathResponse, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, ArrayConnectionPathResponse): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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# Generated by Django 2.1 on 2018-11-16 09:49 import datetime from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('learn', '0003_auto_20181116_1648'), ] operations = [ migrations.AlterField( model_name='speak', name='date', field=models.DateTimeField(default=datetime.datetime(2018, 11, 16, 16, 49, 23, 870624)), ), migrations.AlterField( model_name='taskspeak', name='date', field=models.DateTimeField(default=datetime.datetime(2018, 11, 16, 16, 49, 23, 870624)), ), ]

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# coding=utf-8 # Copyright 2020 The Google Research 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. """Evaluate embeddings on downstream tasks.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function import os from absl import app from absl import flags import tensorflow.compat.v2 as tf from tcc.algorithms import get_algo from tcc.config import CONFIG from tcc.datasets import create_dataset from tcc.datasets import create_one_epoch_dataset from tcc.tasks import get_tasks from tcc.utils import get_embeddings_dataset from tcc.utils import get_lr_opt_global_step from tcc.utils import restore_ckpt from tcc.utils import setup_eval_dir layers = tf.keras.layers flags.DEFINE_boolean('continuous_eval', True, 'Evaluate continously.') flags.DEFINE_string('logdir', '/tmp/alignment_logs', 'Path to logs.') flags.DEFINE_boolean('defun', True, 'Defun everything!') flags.DEFINE_boolean('visualize', False, 'Visualize images. Switched off by ' 'for default to speed traininig up and take less memory.') flags.DEFINE_integer( 'max_embs', 0, 'Max number of videos to embed. 0 or less ' 'means embed all videos in dataset.') FLAGS = flags.FLAGS evaluated_last_ckpt = False def evaluate_once(algo, iterator_tasks, embedding_tasks, iterators, summary_writer): """Evaluate learnt embeddings on downstream tasks.""" # Sets up model for training. _, optimizer, global_step = get_lr_opt_global_step() restore_ckpt(logdir=CONFIG.LOGDIR, optimizer=optimizer, **algo.model) if global_step.numpy() == CONFIG.TRAIN.MAX_ITERS: global evaluated_last_ckpt evaluated_last_ckpt = True metrics = {} if iterator_tasks: with summary_writer.as_default(): with tf.summary.record_if(True): for task_name, task in iterator_tasks.items(): metrics[task_name] = task.evaluate(algo, global_step, iterators=iterators) max_embs = None if FLAGS.max_embs <= 0 else FLAGS.max_embs if embedding_tasks: frames_per_batch = CONFIG.EVAL.FRAMES_PER_BATCH for dataset_name in CONFIG.DATASETS: dataset = {'name': dataset_name} train_iterator = create_one_epoch_dataset( dataset_name, 'train', mode='eval', path_to_tfrecords=CONFIG.PATH_TO_TFRECORDS) dataset['train_dataset'] = get_embeddings_dataset( algo.model, train_iterator, frames_per_batch=frames_per_batch, max_embs=max_embs) val_iterator = create_one_epoch_dataset( dataset_name, 'val', mode='eval', path_to_tfrecords=CONFIG.PATH_TO_TFRECORDS) dataset['val_dataset'] = get_embeddings_dataset( algo.model, val_iterator, frames_per_batch=frames_per_batch, max_embs=max_embs) with summary_writer.as_default(): with tf.summary.record_if(True): for task_name, task in embedding_tasks.items(): if task_name not in metrics: metrics[task_name] = {} metrics[task_name][dataset_name] = task.evaluate( algo, global_step, embeddings_dataset=dataset) # Add all metrics in a separate tag so that analysis is easier. with summary_writer.as_default(): with tf.summary.record_if(True): for task_name in embedding_tasks.keys(): for dataset in CONFIG.DATASETS: tf.summary.scalar('metrics/%s_%s' % (dataset, task_name), metrics[task_name][dataset], step=global_step) avg_metric = sum(metrics[task_name].values()) avg_metric /= len(CONFIG.DATASETS) tf.summary.scalar('metrics/all_%s' % task_name, avg_metric, step=global_step) def timeout_fn(): global evaluated_last_ckpt return evaluated_last_ckpt def evaluate(): """Evaluate embeddings.""" CONFIG.LOGDIR = FLAGS.logdir logdir = CONFIG.LOGDIR setup_eval_dir(logdir) algo = get_algo(CONFIG.TRAINING_ALGO) if FLAGS.defun: algo.call = tf.function(algo.call) algo.compute_loss = tf.function(algo.compute_loss) iterator_tasks, embedding_tasks = get_tasks(CONFIG.EVAL.TASKS) # Setup summary writer. summary_writer = tf.summary.create_file_writer( os.path.join(logdir, 'eval_logs'), flush_millis=10000) iterators = {} if iterator_tasks: # Setup Dataset Iterators from train and val datasets. iterators['train_iterator'] = create_dataset('train', mode='eval') iterators['val_iterator'] = create_dataset('val', mode='eval') if FLAGS.continuous_eval: for _ in tf.train.checkpoints_iterator(logdir, timeout=1, timeout_fn=timeout_fn): evaluate_once(algo, iterator_tasks, embedding_tasks, iterators, summary_writer) else: evaluate_once(algo, iterator_tasks, embedding_tasks, iterators, summary_writer) def main(_): tf.enable_v2_behavior() tf.keras.backend.set_learning_phase(0) evaluate() if __name__ == '__main__': app.run(main)

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copybara-worker@google.com

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/SFData/StackOverflow/s50483715_ground_truth.py

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from tensorflow.keras.layers import Activation, Dropout, Flatten, Dense from tensorflow.keras.layers import Conv2D, MaxPooling2D from tensorflow.keras.models import Sequential from tensorflow.keras.preprocessing.image import ImageDataGenerator import os img_width, img_height = 150, 150 train_data_dir = os.path.dirname(os.path.realpath(__file__)) + '/../data/generator/train'#train directory generated by train_cla validation_data_dir = os.path.dirname(os.path.realpath(__file__)) + '/../data/generator/test'#validation directory generated by val_cla train_samples = 6 validation_samples = 2 epochs = 1 batch_size = 1 input_shape = (img_width, img_height, 1) #build a sequential model to train data model = Sequential() model.add(Conv2D(32, (3, 3), input_shape=input_shape)) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(32, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Conv2D(64, (3, 3))) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(2, 2))) model.add(Flatten()) model.add(Dense(64)) model.add(Activation('relu')) model.add(Dropout(0.5)) model.add(Dense(1)) model.add(Activation('sigmoid')) model.compile(loss='binary_crossentropy', optimizer='rmsprop', metrics=['accuracy']) train_datagen = ImageDataGenerator(#train data generator rescale=1. / 255, shear_range=0.2, zoom_range=0.2, horizontal_flip=True) val_datagen = ImageDataGenerator(rescale=1. / 255)#validation data generator train_generator = train_datagen.flow_from_directory(#train generator train_data_dir, target_size=(img_width, img_height), batch_size=batch_size, class_mode='binary', color_mode = 'grayscale') validation_generator = val_datagen.flow_from_directory(#validation generator validation_data_dir, target_size=(img_width, img_height), batch_size=batch_size, class_mode='binary', color_mode = 'grayscale') model.fit_generator(#fit the generator to train and validate the model train_generator, steps_per_epoch=train_samples // batch_size, epochs=epochs, validation_data=validation_generator, validation_steps=validation_samples // batch_size)

[ "tensfa@yeah.net" ]

tensfa@yeah.net

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no_license

qiujiandeng/-

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# lambda.py # def myadd(x,y): # return x + y myadd = lambda x,y: x + y#只能放表达式 # x + y # max("abc") # print("hello") # True if x > y else False # [x**2 for x in range(10)] print("20+30=",myadd(20,30)) #50 print("1+2=",myadd(1,2)) #3

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961167272@qq.com

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/serve/Servr-Servr-desktop-edition/Servr - desktop edition.py

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#!/usr/bin/env python from wsgiref.simple_server import make_server import mimetypes import os config_filename = 'Config.txt' source_directory = 'Resources' def get_contents_of_file(filepath): with open(filepath) as in_file: return in_file.read() def get_files_dict(directory): return {filename : get_contents_of_file(os.path.join(directory, filename)) for filename in os.listdir(directory)} print('Welcome to Servr - desktop edition!') with open(config_filename, 'a+') as in_file: pass # if config file does not already exist, create one config = get_contents_of_file(config_filename).split('\n') do_auto_start = config[0].lower() if config else 'n' if do_auto_start == 'y': print("Getting data from {}...".format(config_filename)) filename, address, port = config[1:4] else: filename = raw_input("Enter homepage HTML file name including extension:").strip() address = raw_input("Enter this device's private IP address:").strip() port = raw_input("Enter an unused port:").strip() if filename and address and port: msg = "Save these values into {}? (No)".format(config_filename) save_to_cfg = (raw_input(msg).strip().lower() or 'n')[0] if save_to_cfg == 'y': with open(config_filename, 'w') as out_file: out_file.write('\n'.join(['y', filename, address, port, ''])) htmlData = get_contents_of_file(os.path.join(source_directory, filename)) files_dict = get_files_dict(source_directory) def host(environ, start_response): mimeType = 'text/html' status = '200 OK' path_info = environ.get('PATH_INFO', None) if path_info in (None, '/', '/home', '/index.html'): dataToReturn = htmlData else: path_info = path_info.strip('/') dataToReturn = files_dict.get(path_info, None) if dataToReturn: mimeType = mimetypes.guess_type(path_info)[0] else: dataToReturn = status = '404 Not Found' headers = [('Content-type', mimeType)] start_response(status, headers) return [dataToReturn] webServer = make_server(address, int(port), host) print('Serving at url: http://{}:{}'.format(address, port)) webServer.serve_forever()

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itdamdouni@gmail.com

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import numpy as np def gaussianElimination(A,b): A=np.matrix(A,dtype=np.float) b=np.array(b) assert len(A.shape)==2, "Coefficient matrix is not 2d. " assert A.shape[0]==b.shape[0], "Coefficient and b do not match." A=np.concatenate([A,b[:,None]],axis=1) for i in range(b.shape[0]): for k in range(i,A.shape[0]): if A[k,i]: A[i,:],A[k,:]=A[k,:]/A[k,i],A[i,:] break else: continue A[i+1:,i:]-=(A[i+1:,i]/A[i,i])*A[i,i:] # 对角阵 return A def _solve(A): n=A.shape[1]-1 flag=(A[:n]!=0).any(axis=1) if flag.all():# 可能有唯一解 x=np.zeros(n) for i in range(n-1,-1,-1): assert (A[i,i]!=0.), "Equations without solution" x[i]=(A[i,n]-np.dot(A[i,:n],x))/A[i,i] return x else: k=flag.sum() x = np.zeros(n) for i in range(k-1,-1,-1): assert (A[i, i] != 0.), "Equations without solution" x[i] = (A[i, n] - np.dot(A[i,:n], x)) / A[i, i] k=np.eye(n-k) return (x,k) def solve(A,b): ''' :param A: 系数矩阵 :param b: 常数向量 :return: 返回线性方程组的解，如果有无数个解，返回特解和通解（元组），如果只有唯一解，返回之 ''' A=gaussianElimination(A,b) return _solve(A) if __name__ == '__main__': A=[ [1,0,0,0], [1,1,3,3], [1,2,2,4], [1,3,1,3], ] b = [4, 18,24,26] print(solve(A,b))

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/p957/test_solution.py

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[]

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carwestsam/leetCode

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2021-01-20T22:28:59.652051

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from unittest import TestCase from p957.Solution import Solution class TestSolution(TestCase): def test_prisonAfterNDays(self): sol = Solution() self.assertEqual([0, 0, 1, 1, 0, 0, 0, 0], sol.prisonAfterNDays([0, 1, 0, 1, 1, 0, 0, 1], 7)) self.assertEqual([0, 0, 1, 1, 1, 1, 1, 0], sol.prisonAfterNDays([1, 0, 0, 1, 0, 0, 1, 0], 1000000000)) self.assertEqual(sol.raw([1, 0, 0, 1, 0, 1, 1, 0], 300), sol.prisonAfterNDays([1, 0, 0, 1, 0, 1, 1, 0], 300))

[ "carwestsam@gmail.com" ]

carwestsam@gmail.com

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/src/main/seg/common/Term.py

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no_license

chuanfanyoudong/python_hanlp

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""" @author: zkjiang @contact: jiang_zhenkang@163.com @software: PyCharm @file: Term.py @time: 2019/1/1 21:49 """ """ 单词类，用户可以直接访问单词的全部属性 """ class Term(object): def __init__(self, word, nature): self.word = word # 词语 self.nature = nature # 词性 def __str__(self): return self.word + "/" + self.nature def length(self): """ :return:词的长度 """ return len(self.word) def getFrequency(self): """ 获取词语在python_hanlp词库的频次后续需要补充对词表的类 :return: 频次， 0代表这是个新词 """ return 0 def equals(self, obj): """ 比较两个Term是否相等 :param obj: 0或者1 :return: """ if isinstance(obj, Term): if self.nature == obj.nature and self.word == obj.word: return 1 return 0

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qaz3762541@163.com

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/azure-mgmt-devtestlabs/azure/mgmt/devtestlabs/models/linux_os_info_fragment.py

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xiafu-msft/azure-sdk-for-python

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2023-08-12T20:36:24.284497

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# coding=utf-8 # -------------------------------------------------------------------------- # Copyright (c) Microsoft Corporation. All rights reserved. # Licensed under the MIT License. See License.txt in the project root for # license information. # # Code generated by Microsoft (R) AutoRest Code Generator. # Changes may cause incorrect behavior and will be lost if the code is # regenerated. # -------------------------------------------------------------------------- from msrest.serialization import Model class LinuxOsInfoFragment(Model): """Information about a Linux OS. :param linux_os_state: The state of the Linux OS (i.e. NonDeprovisioned, DeprovisionRequested, DeprovisionApplied). Possible values include: 'NonDeprovisioned', 'DeprovisionRequested', 'DeprovisionApplied' :type linux_os_state: str or ~azure.mgmt.devtestlabs.models.LinuxOsState """ _attribute_map = { 'linux_os_state': {'key': 'linuxOsState', 'type': 'str'}, } def __init__(self, **kwargs): super(LinuxOsInfoFragment, self).__init__(**kwargs) self.linux_os_state = kwargs.get('linux_os_state', None)

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lmazuel@microsoft.com

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""" ============================================================== Compute full spectrum source space connectivity between labels ============================================================== The connectivity is computed between 4 labels across the spectrum between 7.5 Hz and 40 Hz. """ # Authors: Alexandre Gramfort <alexandre.gramfort@inria.fr> # # License: BSD (3-clause) import matplotlib.pyplot as plt import mne from mne.datasets import sample from mne.minimum_norm import apply_inverse_epochs, read_inverse_operator from mne.connectivity import spectral_connectivity print(__doc__) data_path = sample.data_path() subjects_dir = data_path + '/subjects' fname_inv = data_path + '/MEG/sample/sample_audvis-meg-oct-6-meg-inv.fif' fname_raw = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw.fif' fname_event = data_path + '/MEG/sample/sample_audvis_filt-0-40_raw-eve.fif' # Load data inverse_operator = read_inverse_operator(fname_inv) raw = mne.io.read_raw_fif(fname_raw) events = mne.read_events(fname_event) # Add a bad channel raw.info['bads'] += ['MEG 2443'] # Pick MEG channels picks = mne.pick_types(raw.info, meg=True, eeg=False, stim=False, eog=True, exclude='bads') # Define epochs for left-auditory condition event_id, tmin, tmax = 1, -0.2, 0.5 epochs = mne.Epochs(raw, events, event_id, tmin, tmax, picks=picks, baseline=(None, 0), reject=dict(mag=4e-12, grad=4000e-13, eog=150e-6)) # Compute inverse solution and for each epoch. By using "return_generator=True" # stcs will be a generator object instead of a list. snr = 1.0 # use lower SNR for single epochs lambda2 = 1.0 / snr ** 2 method = "dSPM" # use dSPM method (could also be MNE or sLORETA) stcs = apply_inverse_epochs(epochs, inverse_operator, lambda2, method, pick_ori="normal", return_generator=True) # Read some labels names = ['Aud-lh', 'Aud-rh', 'Vis-lh', 'Vis-rh'] labels = [mne.read_label(data_path + '/MEG/sample/labels/%s.label' % name) for name in names] # Average the source estimates within each label using sign-flips to reduce # signal cancellations, also here we return a generator src = inverse_operator['src'] label_ts = mne.extract_label_time_course(stcs, labels, src, mode='mean_flip', return_generator=True) fmin, fmax = 7.5, 40. sfreq = raw.info['sfreq'] # the sampling frequency con, freqs, times, n_epochs, n_tapers = spectral_connectivity( label_ts, method='wpli2_debiased', mode='multitaper', sfreq=sfreq, fmin=fmin, fmax=fmax, mt_adaptive=True, n_jobs=1) n_rows, n_cols = con.shape[:2] fig, axes = plt.subplots(n_rows, n_cols, sharex=True, sharey=True) for i in range(n_rows): for j in range(i + 1): if i == j: axes[i, j].set_axis_off() continue axes[i, j].plot(freqs, con[i, j, :]) axes[j, i].plot(freqs, con[i, j, :]) if j == 0: axes[i, j].set_ylabel(names[i]) axes[0, i].set_title(names[i]) if i == (n_rows - 1): axes[i, j].set_xlabel(names[j]) axes[i, j].set(xlim=[fmin, fmax], ylim=[-0.2, 1]) axes[j, i].set(xlim=[fmin, fmax], ylim=[-0.2, 1]) # Show band limits for f in [8, 12, 18, 35]: axes[i, j].axvline(f, color='k') axes[j, i].axvline(f, color='k') plt.tight_layout() plt.show()

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from .toy_example import toy_example from .synthesize_random_firings import synthesize_random_firings from .synthesize_random_waveforms import synthesize_random_waveforms from .synthesize_timeseries import synthesize_timeseries

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# [3차] 파일명 정렬 import re def solution(files): answer = [] for i in range(len(files)): name = re.split('(\d+)',files[i]) # 숫자 문자 split name.append(name[0].lower()) name.append(int(name[1][:5])) answer.append(name) answer.sort(key=lambda x: (x[-2],x[-1])) answer = list(map(lambda x: "".join(x[:len(x)-2]), answer)) return answer ''' 채점을 시작합니다. 정확성 테스트 테스트 1 〉 통과 (0.16ms, 10.4MB) 테스트 2 〉 통과 (0.15ms, 10.3MB) 테스트 3 〉 통과 (2.56ms, 10.9MB) 테스트 4 〉 통과 (3.39ms, 10.8MB) 테스트 5 〉 통과 (2.93ms, 10.7MB) 테스트 6 〉 통과 (3.11ms, 10.7MB) 테스트 7 〉 통과 (2.95ms, 10.7MB) 테스트 8 〉 통과 (2.39ms, 10.6MB) 테스트 9 〉 통과 (2.85ms, 10.8MB) 테스트 10 〉 통과 (2.95ms, 10.8MB) 테스트 11 〉 통과 (2.64ms, 10.7MB) 테스트 12 〉 통과 (3.37ms, 11MB) 테스트 13 〉 통과 (2.61ms, 11MB) 테스트 14 〉 통과 (3.47ms, 11.2MB) 테스트 15 〉 통과 (3.47ms, 11.2MB) 테스트 16 〉 통과 (3.07ms, 10.9MB) 테스트 17 〉 통과 (2.53ms, 10.9MB) 테스트 18 〉 통과 (2.60ms, 10.7MB) 테스트 19 〉 통과 (2.83ms, 10.7MB) 테스트 20 〉 통과 (3.15ms, 10.9MB) 채점 결과 정확성: 100.0 합계: 100.0 / 100.0 '''

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def Strings(str): values = {} newArray = [] for i in str: i.split(':') Strings(["A:1","B:3","C:3","A:4","B:2"])

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mary.jereh@gmail.com

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lodorg/bcrest

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from flask import Flask, request, flash, redirect from werkzeug import secure_filename import os app = Flask(__name__) app.config['UPLOAD_FOLDER'] = 'imgs' app.config['MAX_CONTENT_LENGTH'] = 16 * 1024 * 1024 ALLOWED_EXTENSIONS = set(['txt', 'pdf', 'png', 'jpg', 'jpeg', 'gif']) def allowed_file(filename): return '.' in filename and filename.rsplit('.', 1)[1].lower() in ALLOWED_EXTENSIONS @app.route('/uploader', methods = ['GET', 'POST']) def upload_file(): if request.method == 'POST': # check if the post request has the file part if 'file' not in request.files: return "No file to uploaded" file = request.files['file'] if file.filename == '': flash('No file selected for uploading') return "No file to uploaded" if file and allowed_file(file.filename): filename = secure_filename(file.filename) file.save(os.path.join(app.config['UPLOAD_FOLDER'], filename)) flash('File successfully uploaded') return "Success" else: flash('Allowed file types are txt, pdf, png, jpg, jpeg, gif') return "Not allowed type file" if __name__ == '__main__': app.run(debug = True)

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import unittest class Solution: # @param n, an integer # @return an integer def reverseBits(self, n): # Hacker's Delight, Figure 7-1 # See OpenJDK Integer.reverse(): # https://github.com/openjdk/jdk/blob/f37d9c8abca50b65ed232831a06d60c1d015013f/src/java.base/share/classes/java/lang/Integer.java#L1753 n = (n & 0x55555555) << 1 | (n >> 1) & 0x55555555 n = (n & 0x33333333) << 2 | (n >> 2) & 0x33333333 n = (n & 0x0f0f0f0f) << 4 | (n >> 4) & 0x0f0f0f0f return (n << 24) & 0xffffffff | (n & 0xff00) << 8 | (n >> 8) & 0xff00 | n >> 24 class Test(unittest.TestCase): def test(self): self._test(2, 0x40000000) self._test(43261596, 964176192) def _test(self, n, expected): actual = Solution().reverseBits(n) self.assertEqual(expected, actual) if __name__ == '__main__': unittest.main()

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# - * - coding:utf8 - * - - ########################################### # Author: Tinkle # E-mail: shutingnjupt@gmail.com # Name: Is Subsequence.py # Creation Time: 2017/9/25 ########################################### ''' Given a string s and a string t, check if s is subsequence of t. You may assume that there is only lower case English letters in both s and t. t is potentially a very long (length ~= 500,000) string, and s is a short string (<=100). A subsequence of a string is a new string which is formed from the original string by deleting some (can be none) of the characters without disturbing the relative positions of the remaining characters. (ie, "ace" is a subsequence of "abcde" while "aec" is not). Example 1: s = "abc", t = "ahbgdc" Return true. Example 2: s = "axc", t = "ahbgdc" Return false. ''' class Solution(object): def isSubsequence(self, s, t): """ :type s: str :type t: str :rtype: bool """ pos_s = 0 pos_t = 0 while(pos_s<len(s) and pos_t<len(t)): if s[pos_s]==t[pos_t]: pos_t+=1 pos_s+=1 else: pos_t+=1 return pos_s==len(s) S = Solution() print S.isSubsequence('abc','ahbgdc') print S.isSubsequence('axc','ahbgdc')

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from sawyer.mujoco.tasks.reacher_tasks import ReachTask from sawyer.mujoco.tasks.pick_and_place_tasks import PickTask, PlaceTask from sawyer.mujoco.tasks.toy_tasks import (InsertTask, RemoveTask, OpenTask, CloseTask) __all__ = [ "ReachTask", "PickTask", "PlaceTask", "InsertTask", "RemoveTask", "OpenTask", "CloseTask" ]

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baifengbai/Console

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# adopted from TerminalView _KEY_MAP = { "enter": "\r", "backspace": "\x7f", "tab": "\t", "space": " ", "escape": "\x1b", "down": "\x1b[B", "up": "\x1b[A", "right": "\x1b[C", "left": "\x1b[D", "home": "\x1b[1~", "end": "\x1b[4~", "pageup": "\x1b[5~", "pagedown": "\x1b[6~", "delete": "\x1b[3~", "insert": "\x1b[2~", "f1": "\x1bOP", "f2": "\x1bOQ", "f3": "\x1bOR", "f4": "\x1bOS", "f5": "\x1b[15~", "f6": "\x1b[17~", "f7": "\x1b[18~", "f8": "\x1b[19~", "f9": "\x1b[20~", "f10": "\x1b[21~", "f12": "\x1b[24~", "bracketed_paste_mode_start": "\x1b[200~", "bracketed_paste_mode_end": "\x1b[201~", } # _APP_KEY_MAP = { # "down": "\x1bOB", # "up": "\x1bOA", # "right": "\x1bOC", # "left": "\x1bOD", # } _CTRL_KEY_MAP = { "up": "\x1b[1;5A", "down": "\x1b[1;5B", "right": "\x1b[1;5C", "left": "\x1b[1;5D", "@": "\x00", "`": "\x00", "[": "\x1b", "{": "\x1b", "\\": "\x1c", "|": "\x1c", "]": "\x1d", "}": "\x1d", "^": "\x1e", "~": "\x1e", "_": "\x1f", "?": "\x7f", } _ALT_KEY_MAP = { "up": "\x1b[1;3A", "down": "\x1b[1;3B", "right": "\x1b[1;3C", "left": "\x1b[1;3D", } def _get_ctrl_combination_key_code(key): key = key.lower() if key in _CTRL_KEY_MAP: return _CTRL_KEY_MAP[key] elif len(key) == 1: c = ord(key) if (c >= 97) and (c <= 122): c = c - ord('a') + 1 return chr(c) return _get_key_code(key) return _get_key_code(key) def _get_alt_combination_key_code(key): key = key.lower() if key in _ALT_KEY_MAP: return _ALT_KEY_MAP[key] code = _get_key_code(key) return "\x1b" + code # def _get_app_key_code(key): # if key in _APP_KEY_MAP: # return _APP_KEY_MAP[key] # return _get_key_code(key) def _get_key_code(key): if key in _KEY_MAP: return _KEY_MAP[key] return key def get_key_code(key, ctrl=False, alt=False, shift=False): """ Send keypress to the shell """ if ctrl: keycode = _get_ctrl_combination_key_code(key) elif alt: keycode = _get_alt_combination_key_code(key) else: keycode = _get_key_code(key) return keycode

[ "randy.cs.lai@gmail.com" ]

randy.cs.lai@gmail.com

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dong-c-git/WSGIServer

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2020-08-01T17:03:30.307962

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#coding:utf-8 def merge_sort(alist): """归并排序""" n = len(alist) if n <= 1: return alist mid = n//2 #left 采用归并排序后形成的有序的新列表 left_li = merge_sort(alist[:mid]) #right 采用归并排序后形成的有序新列表 right_li = merge_sort(alist[mid:]) #将两个有序的子序列合并成一个新的整体 #merge(left,right) left_pointer,right_pointer = 0,0 result = [] while left_pointer < len(left_li) and right_pointer < len(right_li): if left_li[left_pointer] <= right_li[right_pointer]: result.append(left_li[left_pointer]) left_pointer += 1 else: result.append(right_li[right_pointer]) right_pointer += 1 result += left_li[left_pointer:] result += right_li[right_pointer:] return result if __name__ == '__main__': li = [54, 26, 93, 17, 77, 31, 44, 55, 20] print(li) sorted_li = merge_sort(li) print(li) print(sorted_li) '''时间复杂度分析：最优时间复杂度：O(nlogn) 最坏时间复杂度：O(nlogn) 稳定性：稳定 '''

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#!/usr/bin/env python3 from operator import mul from functools import reduce import numpy from bruhat.poly import Poly, Q from bruhat.util import cross, all_subsets, factorial from bruhat.argv import argv from bruhat.elim import solve, shortstr ring = Q a = Poly("a", ring) def interp(vals): n = len(vals) p = Poly({}, ring) one = Poly({():ring.one}, ring) for i in range(n): #print(i, vals[i]) y0 = p(a=i) q = one for j in range(i): q = q*(a-j) #print("q:", q) for j in range(i): assert q(a=j) == 0 #print("q(%d)=%s"%(i, q(a=i))) r = ring.one / factorial(i) #print("r =", r) if y0 != vals[i]: p = p + (vals[i] - y0)*r*q #print("p(%d)=%s"%(i, p(a=i))) #print() return p def multi_interp(target): shape = target.shape n = len(shape) #print("multi_interp", shape) vs = 'abcde'[:n] ms = [Poly(v, ring) for v in vs] #print(ms) itemss = [list(range(i)) for i in shape] coords = [] for idxs in cross(itemss): namespace = dict((vs[i], idxs[i]) for i in range(n)) #print(namespace) coords.append(namespace) A = [] polys = [] for idxs in cross(itemss): p = reduce(mul, [p**i for (p,i) in zip(ms, idxs)]) polys.append(p) #print(idxs, p) row = [] for coord in coords: v = p.substitute(coord) row.append(ring.promote(v)) A.append(row) A = numpy.array(A, dtype=object) A = A.transpose() #print(A.shape) #print(shortstr(A)) rhs = target.view() rhs.shape = (len(A),1) #print(rhs) print("solve...") v = solve(ring, A, rhs) assert v is not None print(shortstr(v)) q = ring.zero for i, p in enumerate(polys): q = q + v[i, 0]*p return q def multi_factorize(p, N=10, denom=2): vs = p.get_vars() #print("multi_factorize", vs) ring = p.ring d = p.degree factors = [] idxss = list(all_subsets(len(vs))) idxss.sort(key = len) assert idxss[0] == [] idxss.pop(0) for idxs in idxss: subvs = [vs[idx] for idx in idxs] print("subvs:", subvs) coords = [[-ring.promote(x)/denom for x in range(N)] for v in subvs] for ii in cross(coords): kw = dict((subvs[i], ii[i]) for i in range(len(subvs))) y = p(**kw) if y!=0: continue q = ring.zero for k,v in kw.items(): #print("\t", k, v) q += Poly(k, ring) - v while 1: print("factor:", q) div, rem = q.reduce(p) if rem != 0: break factors.append(q) p = div print("\t", p) if p.degree == 1: break if p != 1: factors.append(p) return factors def factorize(p): ring = p.ring d = p.degree factors = [] for i in range(6*20): i = ring.one*i/6 y = p(a=-i) if y!=0: continue while 1: f = (a+i) div, rem = f.reduce(p) if rem != 0: break factors.append(a+i) p = div if p != 1: factors.append(p) return factors if argv.vals is not None: vals = argv.get("vals", [1, 4, 10, 20, 35, 56]) p = interp(vals) print("p =", p) print("degree =", p.degree) print("factors:", factorize(p)) #print(["%s"%p(a=i) for i in range(n)]) #print([(a-i).reduce(p)[1] for i in range(n)]) elif 1: if 0: # B2 vals = numpy.array( [[1, 10, 35, 84, 165], [5, 35, 105, 231, 429], [14, 81, 220, 455, 810], [30, 154, 390, 770, 1326], [55, 260, 625, 1190, 1995]]) name = argv.next() or "A2" N = int(argv.next() or 4) import os data = os.popen("./sl.sage %s %s"%(name, N)).read() vals = eval(data) vals = numpy.array(vals) #vals = vals[:,0,:,0] vals = vals.copy() print(vals) p = multi_interp(vals) print("degree:", p.degree) print(p) #factors = multi_factorize(p) #print(factors) elif 0: f = lambda a, b, c : (a+1)*(b+1)*(c+1)*(a+b+2)*(b+c+2)*(a+b+c+3)//12 N = 5 for c in range(3): for b in range(N): for a in range(N): print("%6s"%f(a, b, c), end=" ") print() print() elif 0: f = lambda a, b, c, d : ( (a+1)*(b+1)*(c+1)*(d+1)* (a+b+2)*(b+c+2)*(c+d+2)* (a+b+c+3)*(b+c+d+3)* (a+b+c+d+4) //288) N = 5 for d in range(3): for c in range(3): for b in range(N): for a in range(N): print("%6s"%f(a, b, c, d), end=" ") print() print() print()

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# encoding: utf-8 # module PyQt5.QtQuick # from C:\Users\Doly\Anaconda3\lib\site-packages\PyQt5\QtQuick.pyd # by generator 1.147 # no doc # imports import PyQt5.QtCore as __PyQt5_QtCore import PyQt5.QtGui as __PyQt5_QtGui import PyQt5.QtQml as __PyQt5_QtQml import sip as __sip class QSGMaterial(__sip.wrapper): """ QSGMaterial() """ def compare(self, QSGMaterial): # real signature unknown; restored from __doc__ """ compare(self, QSGMaterial) -> int """ return 0 def createShader(self): # real signature unknown; restored from __doc__ """ createShader(self) -> QSGMaterialShader """ return QSGMaterialShader def flags(self): # real signature unknown; restored from __doc__ """ flags(self) -> QSGMaterial.Flags """ pass def setFlag(self, Union, QSGMaterial_Flags=None, QSGMaterial_Flag=None, *args, **kwargs): # real signature unknown; NOTE: unreliably restored from __doc__ """ setFlag(self, Union[QSGMaterial.Flags, QSGMaterial.Flag], enabled: bool = True) """ pass def type(self): # real signature unknown; restored from __doc__ """ type(self) -> QSGMaterialType """ return QSGMaterialType def __init__(self): # real signature unknown; restored from __doc__ pass __weakref__ = property(lambda self: object(), lambda self, v: None, lambda self: None) # default """list of weak references to the object (if defined)""" Blending = 1 CustomCompileStep = 16 RequiresDeterminant = 2 RequiresFullMatrix = 14 RequiresFullMatrixExceptTranslate = 6

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from typing import Iterable, List, NoReturn, Optional from queue import Queue from threading import Thread import splatlog as logging from kubernetes import client, config from kubernetes.watch import Watch from kubernetes.client.models.v1_pod import V1Pod from clavier import arg_par, err, io from almond_cloud.lib import targets from almond_cloud.config import CONFIG LOG = logging.getLogger(__name__) DESC = f"""\ Follow logs of one or more pods. """ def add_parser(subparsers: arg_par.Subparsers): parser = subparsers.add_parser( "tail", target=tail, help=DESC.splitlines()[0], description=DESC, ) parser.add_argument( "pod_names", nargs="+", help="Pods to follow, which are prefix-matched against the name", ) parser.add_argument( "-t", "--target", dest="target_name", default="local", help="Target name with the Thingpedia url and access-token to use", ) parser.add_argument( "-l", "--lines", dest="tail_lines", default=42, help="How many lines to print at start", ) def match_pod_name(pod_names: Iterable[str], pod: V1Pod) -> bool: for name in pod_names: if pod.metadata.name == name or pod.metadata.name.startswith( f"{name}-" ): return True return False def tail_one( api_v1: client.CoreV1Api, pod_name: str, namespace: str, tail_lines: int ) -> NoReturn: watch = Watch() color_name = io.capture(f"[dim white]{pod_name}[/]", end="") for line in watch.stream( api_v1.read_namespaced_pod_log, pod_name, namespace, tail_lines=tail_lines, ): print(f"{color_name} {line}") def _thread_tail( queue: Queue, api_v1: client.CoreV1Api, pod_name: str, pad_width: int, namespace: str, ) -> NoReturn: watch = Watch() padded_name = ("{:<" + str(pad_width) + "}").format(pod_name) left_col = io.capture(f"[dim white]{padded_name}[/]", end="") for line in watch.stream( api_v1.read_namespaced_pod_log, pod_name, namespace, tail_lines=0 ): queue.put(left_col + line) def tail_many( api_v1: client.CoreV1Api, pod_names: List[str], namespace: str ) -> NoReturn: max_name_length = max(len(n) for n in pod_names) pad_width = (int(max_name_length / 4) + 1) * 4 queue = Queue() threads = [ Thread( target=_thread_tail, args=(queue, api_v1, pod_name, pad_width, namespace), ) for pod_name in pod_names ] for thread in threads: thread.setDaemon(True) thread.start() while True: print(queue.get()) def tail(pod_names: List[str], target_name: str, tail_lines: int): target = targets.get(target_name) namespace = target["k8s.namespace"] context = target.get("k8s.context") LOG.info( "Tailing pods...", context=context, namespace=namespace, ) config.load_kube_config(context=context) api_v1 = client.CoreV1Api() all_pods = api_v1.list_namespaced_pod(namespace).items pods = [pod for pod in all_pods if match_pod_name(pod_names, pod)] if len(pods) == 0: LOG.error( "No pods found.", pod_names=pod_names, available_pods=sorted([pod.metadata.name for pod in all_pods]), ) raise err.UserError("No pods found.") if len(pods) == 1: tail_one(api_v1, pods[0].metadata.name, namespace, tail_lines) tail_many(api_v1, [pod.metadata.name for pod in pods], namespace)

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# ---------------------------------------------------------------------- # | # | PassStatement_IntegrationTest.py # | # | David Brownell <db@DavidBrownell.com> # | 2021-06-15 17:09:30 # | # ---------------------------------------------------------------------- # | # | Copyright David Brownell 2021 # | Distributed under the Boost Software License, Version 1.0. See # | accompanying file LICENSE_1_0.txt or copy at # | http://www.boost.org/LICENSE_1_0.txt. # | # ---------------------------------------------------------------------- """Automated test for PassStatement.py""" import os import textwrap import CommonEnvironment from CommonEnvironmentEx.Package import InitRelativeImports # ---------------------------------------------------------------------- _script_fullpath = CommonEnvironment.ThisFullpath() _script_dir, _script_name = os.path.split(_script_fullpath) # ---------------------------------------------------------------------- with InitRelativeImports(): from . import Execute from ..CommentStatement import * # ---------------------------------------------------------------------- def test_Standard(): assert Execute( textwrap.dedent( """\ pass """, ), ) == textwrap.dedent( """\ <Root> 1.0.0 Grammar Pass 'pass' <<Regex: <_sre.SRE_Match object; span=(0, 4), match='pass'>>> ws:None [1, 1 -> 1, 5] """, )

[ "db@DavidBrownell.com" ]

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# Create a `Circle` class that takes it's radius as cinstructor parameter # It should have a `get_circumference` method that returns it's circumference # It should have a `get_area` method that returns it's area import math class Circle(): def __init__(self, radius): self.radius = radius def get_circumference(self): return self.radius * 2 * math.pi def get_area(self): return self.radius ** 2 * math.pi circle1 = Circle(5) print(circle1.get_circumference()) print(circle1.get_area())

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aron.gyenes@gmail.com

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/3/django_1703_day3/app01/views.py

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ZhiqiWu/student_manage

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refs/heads/master

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#coding:utf8 from django.shortcuts import render,HttpResponse,render_to_response import logging from django.template import Template,Context import datetime # Create your views here. #创建一个日志器 mylogger = logging.getLogger('app01') class Human(object): name = '人' age = 10000 def sayGoodBye(self): #return 回去的值就是模板中显示的值 return 'sayGoodBye-------------' # def index(request): # try: # with open('wer','r') as f: # f.read() # except Exception,e: # mylogger.error(str(e)) # return HttpResponse('app01 index page ok') def index(request): return render(request,'app01/index.html') def zhale(request): mylogger.critical('洗澡城炸了') return HttpResponse('ok') def tpl(request): # -------------------------------------------------------------------- t = Template("<h1>My name is {{name}}.</h1>") # 一小段html 加载到Template里，返回Template对象 context = {'name' : 'Alice'} # 上下文字典，准备渲染到模版中的变量 c = Context(context) # 初始化一个Context对象传入上下文字典 html = t.render(c) # 渲染模板，选入Context对象 # -------------------------------------------------------------------- # render_to_response 不需要传入request对象， # render需要 # return render_to_response('app01/tpl.html') # 上下文字典 h1 = Human() context = { 'name' : '小美', 'engname' : 'XIAOMEI', 'age' : 18, 'sex' : '中', 'score' : 100.99, #'subject' : ['python','php','java','hadoop','openstack','docker','c++'], 'subject' : [], 'info' : {'interest':'打游戏','money':0}, 'h1' : h1, 'china' : [ {'北京' : ['朝阳','海淀',u'三里屯','什刹海','中南海','天安门','changping']}, {'黑龙江' : ['哈尔滨','牡丹江','齐齐哈尔','鸡西','日本','首尔','俄罗斯']}, ], 'range': range(1,11), 'desc' : "了矿务局儿科就了哦字。， \n想，臭美吧厘米", 'desc1' : "how are old you", 'now' : datetime.datetime.now(), 'suibian' : None, 'link' : '<a href="http://www.baidu.com">点我</a>' } return render(request,'app01/tpl.html',context) # a1：request对象，a2：模板路径 a3：上下文字典

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1049939190@qq.com

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/ClassificationAndRegression/GeneralizedLinearModels/ARDRegression.py

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# coding=utf-8 """ARD Regression. Automatic Relevance Determination. """ import numpy as np from sklearn import linear_model from sklearn.metrics import r2_score import matplotlib.pyplot as plt from scipy import stats if __name__ == "__main__": print("Generating data...") n_samples, n_features = 2000, 50 X = np.random.randn(n_samples, n_features) rel_features = 10 lambda_ = 0.4 w = np.zeros(n_features) rel_f = np.random.randint(0, n_features, rel_features) for i in rel_f: w[i] = stats.norm.rvs(loc=0, scale=1.0 / np.sqrt(lambda_)) alpha_ = 0.30 noise = stats.norm.rvs(loc=0, scale=1.0 / np.sqrt(lambda_), size=n_samples) y = np.dot(X, w) + noise X_train, X_test = X[n_samples // 2:], X[:n_samples // 2] y_train, y_test = y[n_samples // 2:], y[:n_samples // 2] print("Fitting model...") ard = linear_model.ARDRegression() ard.fit(X_train, y_train) print("R2 score: {0}".format(r2_score(y_test, ard.predict(X_test)))) print("Plotting predictions...") plt.scatter(np.arange(n_samples // 2), y_train, color="red") plt.scatter(np.arange(n_samples // 2) + n_samples // 2, y_test, color="fuchsia") plt.plot(np.arange(n_samples), ard.predict(X), color="purple") plt.show()

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oleszek.karol@gmail.com

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/backup/user_103/ch57_2020_04_13_15_35_20_007820.py

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gabriellaec/desoft-analise-exercicios

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def verifica_progressao(lista): razaopa=lista[1]-lista[0] razaopg=(lista[1]/lista[0]) if lista[0]==0: razaopg=lista[2]-lista[1] for i in range (1,len(lista)): if (lista[i+1]-lista[i])==razaopa and (lista[i+1]/lista[i])==razaopg: return 'AG' else: if lista[i+1]-lista[i]==razaopa and lista[(len(lista)-1)]-lista[(len(lista)-2)]==razaopa: return 'PA' elif lista[i+1]/lista[i]==razaopg and lista[(len(lista)-1)]/lista[(len(lista)-2)]==razaopg: return 'PG' else: return 'NA'

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you@example.com

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/archive/wiki_web_traffic_predict/LSTM_train_V1.py

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no_license

yennanliu/Kaggle.com_mini_project

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# ops import numpy as np import pandas as pd import datetime as dt import time import math import re # DL from sklearn.model_selection import train_test_split from sklearn.preprocessing import MinMaxScaler from sklearn.metrics import mean_squared_error from keras.models import Sequential from keras.layers.core import Dense, Dropout, Activation, Flatten from keras.layers.recurrent import LSTM, GRU from keras.layers import Convolution1D, MaxPooling1D from keras.callbacks import Callback def load_data(): train = pd.read_csv('train_1.csv').fillna(0) return train # help functions def get_language(page): res = re.search('[a-z][a-z].wikipedia.org',page) if res: """ ----- fix here for python 3 ---- https://stackoverflow.com/questions/18493677/how-do-i-return-a-string-from-a-regex-match-in-python """ return res.group(0)[:2] return 'na' def get_aggregated_data(train): lang_sets = {} # get the search data without language column lang_sets['en'] = train[train.lang=='en'].iloc[:,0:-1] lang_sets['ja'] = train[train.lang=='ja'].iloc[:,0:-1] lang_sets['de'] = train[train.lang=='de'].iloc[:,0:-1] lang_sets['na'] = train[train.lang=='na'].iloc[:,0:-1] lang_sets['fr'] = train[train.lang=='fr'].iloc[:,0:-1] lang_sets['zh'] = train[train.lang=='zh'].iloc[:,0:-1] lang_sets['ru'] = train[train.lang=='ru'].iloc[:,0:-1] lang_sets['es'] = train[train.lang=='es'].iloc[:,0:-1] sums = {} # avg daily searching (for each language ) for key in lang_sets: sums[key] = lang_sets[key].iloc[:,1:].sum(axis=0) / lang_sets[key].shape[0] print (sums) return sums def create_dataset(dataset, look_back=1): dataX, dataY = [], [] for i in range(len(dataset)-look_back-1): a = dataset[i:(i+look_back), 0] dataX.append(a) dataY.append(dataset[i + look_back, 0]) return np.array(dataX), np.array(dataY) def single_input_LSTM(sums,language): #for language in sums.keys(): #for language in ['fr']: scaler = MinMaxScaler(feature_range=(0, 1)) dataset = scaler.fit_transform(sums[language].reshape(-1, 1)) print ('language : ', language) # split into train and test sets train_size = int(len(dataset) * 0.67) test_size = len(dataset) - train_size print ('-------') print ('train_size : ', train_size) print ('test_size : ', test_size) print ('-------') train, test = dataset[0:train_size,:], dataset[train_size:len(dataset),:] # reshape into X=t and Y=t+1 look_back = 1 trainX, trainY = create_dataset(train, look_back) testX, testY = create_dataset(test, look_back) # reshape input to be [samples, time steps, features] trainX = np.reshape(trainX, (trainX.shape[0], 1, trainX.shape[1])) testX = np.reshape(testX, (testX.shape[0], 1, testX.shape[1])) # create and fit the LSTM network model = Sequential() model.add(LSTM(4, input_shape=(1, look_back))) model.add(Dense(1)) model.compile(loss='mean_squared_error', optimizer='adam') model.fit(trainX, trainY, epochs=20, batch_size=1, verbose=2) # make predictions trainPredict = model.predict(trainX) testPredict = model.predict(testX) # invert predictions trainPredict = scaler.inverse_transform(trainPredict) trainY = scaler.inverse_transform([trainY]) testPredict = scaler.inverse_transform(testPredict) testY = scaler.inverse_transform([testY]) # calculate root mean squared error trainScore = math.sqrt(mean_squared_error(trainY[0], trainPredict[:,0])) print('Train Score: %.2f RMSE' % (trainScore)) testScore = math.sqrt(mean_squared_error(testY[0], testPredict[:,0])) print('Test Score: %.2f RMSE' % (testScore)) # shift train predictions for plotting trainPredictPlot = np.empty_like(dataset) trainPredictPlot[:, :] = np.nan trainPredictPlot[look_back:len(trainPredict)+look_back, :] = trainPredict # shift test predictions for plotting testPredictPlot = np.empty_like(dataset) testPredictPlot[:, :] = np.nan testPredictPlot[len(trainPredict)+(look_back*2)+1:len(dataset)-1, :] = testPredict #plot """ series,=plt.plot(scaler.inverse_transform(dataset)[:,]) prediccion_entrenamiento,=plt.plot(trainPredictPlot[:,],color = 'red') prediccion_test,=plt.plot(testPredictPlot[:,],color = 'blue') plt.title('Web View Forecasting (LSTM, lookback=1)') plt.xlabel('Number of Days from Start') plt.ylabel('Web View') plt.legend() plt.legend([serie,prediccion_entrenamiento,prediccion_test],['all data','train','test'], loc='upper right') plt.show() """ if __name__ == '__main__': train = load_data() train['lang'] = train.Page.map(get_language) print (train.head(3)) sums = get_aggregated_data(train) single_input_LSTM(sums,'ja')

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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 Any, AsyncIterable, Callable, Dict, Generic, Optional, TypeVar import warnings from azure.core.async_paging import AsyncItemPaged, AsyncList from azure.core.exceptions import ClientAuthenticationError, HttpResponseError, ResourceExistsError, ResourceNotFoundError, map_error from azure.core.pipeline import PipelineResponse from azure.core.pipeline.transport import AsyncHttpResponse, HttpRequest from azure.mgmt.core.exceptions import ARMErrorFormat from ... import models T = TypeVar('T') ClsType = Optional[Callable[[PipelineResponse[HttpRequest, AsyncHttpResponse], T, Dict[str, Any]], Any]] class VirtualMachineRunCommandsOperations: """VirtualMachineRunCommandsOperations async 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.compute.v2019_12_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) -> None: self._client = client self._serialize = serializer self._deserialize = deserializer self._config = config def list( self, location: str, **kwargs ) -> AsyncIterable["models.RunCommandListResult"]: """Lists all available run commands for a subscription in a location. :param location: The location upon which run commands is queried. :type location: str :keyword callable cls: A custom type or function that will be passed the direct response :return: An iterator like instance of either RunCommandListResult or the result of cls(response) :rtype: ~azure.core.async_paging.AsyncItemPaged[~azure.mgmt.compute.v2019_12_01.models.RunCommandListResult] :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.RunCommandListResult"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2019-12-01" accept = "application/json, text/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 = { 'location': self._serialize.url("location", location, 'str', pattern=r'^[-\w\._]+$'), '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 async def extract_data(pipeline_response): deserialized = self._deserialize('RunCommandListResult', pipeline_response) list_of_elem = deserialized.value if cls: list_of_elem = cls(list_of_elem) return deserialized.next_link or None, AsyncList(list_of_elem) async def get_next(next_link=None): request = prepare_request(next_link) pipeline_response = await 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 AsyncItemPaged( get_next, extract_data ) list.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Compute/locations/{location}/runCommands'} # type: ignore async def get( self, location: str, command_id: str, **kwargs ) -> "models.RunCommandDocument": """Gets specific run command for a subscription in a location. :param location: The location upon which run commands is queried. :type location: str :param command_id: The command id. :type command_id: str :keyword callable cls: A custom type or function that will be passed the direct response :return: RunCommandDocument, or the result of cls(response) :rtype: ~azure.mgmt.compute.v2019_12_01.models.RunCommandDocument :raises: ~azure.core.exceptions.HttpResponseError """ cls = kwargs.pop('cls', None) # type: ClsType["models.RunCommandDocument"] error_map = { 401: ClientAuthenticationError, 404: ResourceNotFoundError, 409: ResourceExistsError } error_map.update(kwargs.pop('error_map', {})) api_version = "2019-12-01" accept = "application/json, text/json" # Construct URL url = self.get.metadata['url'] # type: ignore path_format_arguments = { 'location': self._serialize.url("location", location, 'str', pattern=r'^[-\w\._]+$'), 'commandId': self._serialize.url("command_id", command_id, '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 = await 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('RunCommandDocument', pipeline_response) if cls: return cls(pipeline_response, deserialized, {}) return deserialized get.metadata = {'url': '/subscriptions/{subscriptionId}/providers/Microsoft.Compute/locations/{location}/runCommands/{commandId}'} # type: ignore

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[]

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Aasthaengg/IBMdataset

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refs/heads/main

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N,K=map(int,input().split()) fil=int((N-1)*(N-2)/2) if K>fil: print(-1) else: M=N-1+fil-K print(M) for i in range(N-1): print(1,i+2) count=0 list=[] for j in range(2,N): for k in range(j+1,N+1): list.append((j,k)) for i in range(fil-K): print(list[i][0],list[i][1])

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66529651+Aastha2104@users.noreply.github.com

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/51.py

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thaisNY/GuanabaraPy

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#Leia o primeiro termo de uma pa #Leia a razão da pa #Imprima os 10 primeiros termos da pa a1 = int(input('Digite o primeiro termo da Pa')) r = int(input('Digite a razão da Pa')) termo = 0 cont = 0 for c in range (a1,11): termo = a1 + (cont*r) print(termo) cont = cont + 1

[ "71556315+thaisNY@users.noreply.github.com" ]

71556315+thaisNY@users.noreply.github.com

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wsgan001/PyFPattern

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refs/heads/main

2023-08-25T23:48:26.112133

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def get_srid_info(srid, connection): '\n Returns the units, unit name, and spheroid WKT associated with the\n given SRID from the `spatial_ref_sys` (or equivalent) spatial database\n table for the given database connection. These results are cached.\n ' from django.contrib.gis.gdal import SpatialReference global _srid_cache try: SpatialRefSys = connection.ops.spatial_ref_sys() except NotImplementedError: SpatialRefSys = None (alias, get_srs) = ((connection.alias, (lambda srid: SpatialRefSys.objects.using(connection.alias).get(srid=srid).srs)) if SpatialRefSys else (None, SpatialReference)) if (srid not in _srid_cache[alias]): srs = get_srs(srid) (units, units_name) = srs.units sphere_name = srs['spheroid'] spheroid = ('SPHEROID["%s",%s,%s]' % (sphere_name, srs.semi_major, srs.inverse_flattening)) _srid_cache[alias][srid] = (units, units_name, spheroid) return _srid_cache[alias][srid]

[ "dg1732004@smail.nju.edu.cn" ]

dg1732004@smail.nju.edu.cn

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[]

no_license

webmaxdev0110/digi-django

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refs/heads/master

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from django.contrib.sites.models import Site from django.http.request import split_domain_port try: # python 2 from urlparse import urlparse except ImportError: # Python 3 from urllib.parse import urlparse def get_site_from_request_origin(request): origin = request.META.get('HTTP_ORIGIN', None) if not origin: return None if not origin.startswith('http'): # During the test, the ORIGIN has not schema origin = '//' + origin netloc = urlparse(origin).netloc domain, port = split_domain_port(netloc) try: return Site.objects.get(domain=domain) except Site.DoesNotExist: return None

[ "webmax0110.dev@gmail.com" ]

webmax0110.dev@gmail.com

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/artifacts/default/Ubuntu_16/get-sdk-2019.01.01-Ubuntu_16.py

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[]

no_license

pulp-platform/pulp-sdk-release

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refs/heads/master

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#!/usr/bin/env python3 # This file has been auto-generated and can be used for downloading the SDK it has # been generated for. import os import tarfile import os.path import argparse src="59b44701b6ac8390a97936cbd049256fc2917212" artefacts=[ ["https://iis-artifactory.ee.ethz.ch/artifactory/release/Ubuntu_16/pulp/sdk/mainstream/e5a5beca5677e4ea6fb3db81099a0375d57b5d02/0/sdk.tar.bz2", "pkg/sdk/2019.01.01"], ["https://iis-artifactory.ee.ethz.ch/artifactory/release/Ubuntu_16/pulp/pulp_riscv_gcc/mainstream/1.0.9/0/pulp_riscv_gcc.tar.bz2", "pkg/pulp_riscv_gcc/1.0.9"] ] exports=[ ["PULP_SDK_HOME", "$PULP_PROJECT_HOME/pkg/sdk/2019.01.01"], ["PULP_SDK_INSTALL", "$PULP_SDK_HOME/install"], ["PULP_SDK_WS_INSTALL", "$PULP_SDK_HOME/install/ws"], ["PULP_RISCV_GCC_TOOLCHAIN_CI", "$PULP_PROJECT_HOME/pkg/pulp_riscv_gcc/1.0.9"], ["PULP_RISCV_GCC_VERSION", "3"] ] sourceme=[ ["$PULP_SDK_HOME/env/setup.sh", "$PULP_SDK_HOME/env/setup.csh"] ] pkg=["sdk", "2019.01.01"] parser = argparse.ArgumentParser(description='PULP downloader') parser.add_argument('command', metavar='CMD', type=str, nargs='*', help='a command to be execute') parser.add_argument("--path", dest="path", default=None, help="Specify path where to install packages and sources") args = parser.parse_args() if len(args.command ) == 0: args.command = ['get'] if args.path != None: path = os.path.expanduser(args.path) if not os.path.exists(path): os.makedirs(path) os.chdir(path) for command in args.command: if command == 'get' or command == 'download': dir = os.getcwd() if command == 'get': if not os.path.exists('pkg'): os.makedirs('pkg') os.chdir('pkg') for artefactDesc in artefacts: artefact = artefactDesc[0] path = os.path.join(dir, artefactDesc[1]) urlList = artefact.split('/') fileName = urlList[len(urlList)-1] if command == 'download' or not os.path.exists(path): if os.path.exists(fileName): os.remove(fileName) if os.system('wget --no-check-certificate %s' % (artefact)) != 0: exit(-1) if command == 'get': os.makedirs(path) t = tarfile.open(os.path.basename(artefact), 'r') t.extractall(path) os.remove(os.path.basename(artefact)) os.chdir(dir) if command == 'get' or command == 'download' or command == 'env': if not os.path.exists('env'): os.makedirs('env') filePath = 'env/env-%s-%s.sh' % (pkg[0], pkg[1]) with open(filePath, 'w') as envFile: #envFile.write('export PULP_ENV_FILE_PATH=%s\n' % os.path.join(os.getcwd(), filePath)) #envFile.write('export PULP_SDK_SRC_PATH=%s\n' % os.environ.get("PULP_SDK_SRC_PATH")) envFile.write('export %s=%s\n' % ('PULP_PROJECT_HOME', os.getcwd())) for export in exports: envFile.write('export %s=%s\n' % (export[0], export[1].replace('$PULP_PROJECT_HOME', os.getcwd()))) for env in sourceme: envFile.write('source %s\n' % (env[0].replace('$PULP_PROJECT_HOME', os.getcwd()))) #envFile.write('if [ -e "$PULP_SDK_SRC_PATH/init.sh" ]; then source $PULP_SDK_SRC_PATH/init.sh; fi') #filePath = 'env/env-%s-%s.csh' % (pkg[0], pkg[1]) #with open(filePath, 'w') as envFile: # envFile.write('setenv PULP_ENV_FILE_PATH %s\n' % os.path.join(os.getcwd(), filePath)) # envFile.write('setenv PULP_SDK_SRC_PATH %s\n' % os.environ.get("PULP_SDK_SRC_PATH")) # for env in envFileStrCsh: # envFile.write('%s\n' % (env.replace('@PULP_PKG_HOME@', os.getcwd()))) # envFile.write('if ( -e "$PULP_SDK_SRC_PATH/init.sh" ) then source $PULP_SDK_SRC_PATH/init.sh; endif') if command == 'src': if os.path.exists('.git'): os.system('git checkout %s' % (src)) else: os.system('git init .') os.system('git remote add -t \* -f origin git@kesch.ee.ethz.ch:pulp-sw/pulp_pipeline.git') os.system('git checkout %s' % (src))

[ "germain.haugou@iis.ee.ethz.ch" ]

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/Cura/Cura/plugins/GCodeReader/MarlinFlavorParser.py

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[ "LGPL-3.0-only", "GPL-3.0-only" ]

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flight7788/3d-printing-with-moveo-1

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refs/heads/Feature_Marlin_with_AlanBoy

2022-08-30T18:36:44.785058

2020-05-30T07:52:58

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2020-05-16T07:39:47

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# Copyright (c) 2017 Ultimaker B.V. # Cura is released under the terms of the LGPLv3 or higher. from . import FlavorParser # This parser is intented for interpret the Marlin/Sprinter Firmware flavor class MarlinFlavorParser(FlavorParser.FlavorParser): def __init__(self): super().__init__()

[ "t106360212@ntut.org.tw" ]

t106360212@ntut.org.tw

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/qianfeng_400/爬虫/网络编程/1,TCP客户端.py

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[]

no_license

jxy147258/qianfeng_python

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refs/heads/master

2021-07-16T15:19:45.759356

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2020-02-07T06:41:06

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# 使用socket模块 import socket client = socket.socket(socket.AF_INET,socket.SOCK_STREAM) client.connect(("localhost",8081)) count = 0 while True: count += 1 data = input("请输入数据") client.send(data.encode("utf-8")) info = client.recv(1024) print("服务器说:"+info.decode("utf-8")) if count > 10: client.close()

[ "1162591945@qq.com" ]

1162591945@qq.com