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

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# -*- coding: utf-8 -*- # Generated by Django 1.11.2 on 2017-07-26 13:22 from __future__ import unicode_literals from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('stock_backend', '0003_auto_20170726_0910'), ] operations = [ migrations.AddField( model_name='company', name='maxVal', field=models.FloatField(default=0), ), ]

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import re from morepath.publish import resolve_model as _resolve_model from ..interfaces import ISchema import jsl import dataclasses from copy import copy import typing from datetime import datetime, date def resolve_model(request): newreq = request.app.request_class( request.environ.copy(), request.app, path_info=request.path ) context = _resolve_model(newreq) context.request = request return context _marker = object() def generate_default(schema): data = {} if isinstance(schema, jsl.DocumentField): schema = schema.document_cls for n, f in schema._fields.items(): if isinstance(f, jsl.DocumentField): data[n] = generate_default(f) else: data[n] = f.get_default() if data[n] is None: if isinstance(f, jsl.StringField): data[n] = None elif isinstance(f, jsl.IntField) or isinstance(f, jsl.NumberField): data[n] = None elif isinstance(f, jsl.DictField): data[n] = {} elif isinstance(f, jsl.ArrayField): data[n] = [] return data

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""" Django settings for gps_viewer project. Generated by 'django-admin startproject' using Django 2.1.5. For more information on this file, see https://docs.djangoproject.com/en/2.1/topics/settings/ For the full list of settings and their values, see https://docs.djangoproject.com/en/2.1/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__))) PROJECT_ROOT = os.path.dirname(os.path.abspath(__file__)) # Quick-start development settings - unsuitable for production # See https://docs.djangoproject.com/en/2.1/howto/deployment/checklist/ # SECURITY WARNING: keep the secret key used in production secret! SECRET_KEY = 'o0%@ynj$m8ln=_-pn=)+de2$2ji5y7ks%_fuzi89n)p-3wowhe' # 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', 'corsheaders', 'api', 'ui' ] MIDDLEWARE = [ 'django.middleware.security.SecurityMiddleware', 'django.contrib.sessions.middleware.SessionMiddleware', 'corsheaders.middleware.CorsMiddleware', 'django.middleware.common.CommonMiddleware', #'django.middleware.csrf.CsrfViewMiddleware', 'django.contrib.auth.middleware.AuthenticationMiddleware', 'django.contrib.messages.middleware.MessageMiddleware', 'django.middleware.clickjacking.XFrameOptionsMiddleware', ] CORS_ORIGIN_ALLOW_ALL = True ROOT_URLCONF = 'gps_viewer.urls' TEMPLATES = [ { 'BACKEND': 'django.template.backends.django.DjangoTemplates', 'DIRS': [], 'APP_DIRS': True, 'OPTIONS': { 'context_processors': [ 'django.template.context_processors.debug', 'django.template.context_processors.request', 'django.contrib.auth.context_processors.auth', 'django.contrib.messages.context_processors.messages', ], }, }, ] WSGI_APPLICATION = 'gps_viewer.wsgi.application' # Database # https://docs.djangoproject.com/en/2.1/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/2.1/ref/settings/#auth-password-validators AUTH_PASSWORD_VALIDATORS = [ { 'NAME': 'django.contrib.auth.password_validation.UserAttributeSimilarityValidator', }, { 'NAME': 'django.contrib.auth.password_validation.MinimumLengthValidator', }, { 'NAME': 'django.contrib.auth.password_validation.CommonPasswordValidator', }, { 'NAME': 'django.contrib.auth.password_validation.NumericPasswordValidator', }, ] # Internationalization # https://docs.djangoproject.com/en/2.1/topics/i18n/ LANGUAGE_CODE = 'en-us' TIME_ZONE = 'UTC' USE_I18N = True USE_L10N = True USE_TZ = True # Static files (CSS, JavaScript, Images) # https://docs.djangoproject.com/en/2.1/howto/static-files/ STATIC_URL = '/static/' STATIC_ROOT = os.path.join(PROJECT_ROOT, "static") STATICFILES_DIRS = [ os.path.join(BASE_DIR, "ui_react/dist/") ]

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#!/usr/bin/env python # -*- coding: utf-8 -*- import web from pymongo import MongoClient ##### debug_mode = True # Flase - production, True - staging ##### # enable_proxy = True http_proxy = 'http://192.168.2.108:8888' https_proxy = 'https://192.168.2.108:8888' proxy_list = ['192.168.2.103'] enable_local_test = True ##### web_serv_list={'web1' : ('192.168.2.99','192.168.2.99')} # local_ip=web_serv_list['web1'][1] cli = {'web' : MongoClient(web_serv_list['web1'][0]),} # MongoClient('10.168.11.151', replicaset='rs0') # replica set # MongoClient('10.168.11.151', replicaset='rs0', readPreference='secondaryPreferred') # 使用secondary 读 db_web = cli['web']['fair_db'] db_web.authenticate('ipcam','ipcam') thread_num = 1 auth_user = ['test'] cs_admin = ['cs0'] tmp_path = '/usr/local/nginx/html/fair/static/tmp' logs_path = '/usr/local/nginx/logs' image_store_path = '/usr/local/nginx/html/fair/static/image/product' default_shop='55837fd9ec6ef238912fab89' B3_shop='55837fd9ec6ef238912fab89' PT_shop={ '001' : '564708a2ec6ef2206f57043c', # 东南 '002' : '', # 华北 '003' : '', # 华东 } app_host='app.urfresh.cn' wx_host='wx.urfresh.cn' image_host='image.urfresh.cn' notify_host='app.urfresh.cn' app_pool=['app.urfresh.cn'] WX_store = { '000' : { # 测试 'wx_appid' : 'wxb920ef74b6a20e69', 'wx_appsecret' : 'ddace9d14b3413c65991278f09a03896', 'mch_id' : '1242104702', }, '001' : { # 东南 'wx_appid' : 'wxa84493ca70802ab5', 'wx_appsecret' : 'd4624c36b6795d1d99dcf0547af5443d', 'mch_id' : '1284728201', }, '002' : { # 华北 'wx_appid' : 'wx64a0c20da3b0acb7', 'wx_appsecret' : 'd4624c36b6795d1d99dcf0547af5443d', 'mch_id' : '1284420901', }, '003' : { # 华东 'wx_appid' : 'wx2527355bfd909dbe', 'wx_appsecret' : '49e8eb83c3fce102215a92047e8e9290', 'mch_id' : '1253845801', }, } # region_id 来自文件 f=open('/region_id') a=f.readlines() f.close() region_id = a[0].strip() # 微信设置 wx_setting = WX_store[region_id] order_fuffix='' inner_number = { '99990000100' : '9998', '99990000101' : '3942', '99990000102' : '4345', '99990000103' : '2875', '99990000104' : '3492', '99990000105' : '0980', '99990000106' : '3482', '99990000107' : '5340', '99990000108' : '9873', '99990000109' : '2345', '99990000110' : '8653', } http_port=80 https_port=443 mail_server='127.0.0.1' sender='"Kam@Cloud"<kam@f8geek.com>' worker=['2953116@qq.com'] web.config.debug = debug_mode config = web.storage( email = 'jack139@gmail.com', site_name = 'ipcam', site_des = '', static = '/static' )

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''' 有股神吗？有，小赛就是！经过严密的计算，小赛买了一支股票，他知道从他买股票的那天开始，股票会有以下变化：第一天不变，以后涨一天，跌一天，涨两天，跌一天，涨三天，跌一天...依此类推。为方便计算，假设每次涨和跌皆为1，股票初始单价也为1，请计算买股票的第n天每股股票值多少钱？输入输入包括多组数据；每行输入一个n，1<=n<=10^9 。样例输入 1 2 3 4 5 输出请输出他每股股票多少钱，对于每组数据，输出一行。样例输出 1 2 1 2 3 ''' while 1 : x =int(input()) k = 3 n = 3 while x-k>=n: n+=k k+=1#k就是减号的数量 if x<3: print(x) else: print(int(x-(k-2)*2))

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#-*- coding:utf-8 -*- import BaseHTTPServer class RequestHandler(BaseHTTPServer.BaseHTTPRequestHandler): '''处理请求并返回页面''' # 页面模板 Page = '''\ <html> <body> <p>Hello, web!</p> </body> </html> ''' # 处理一个GET请求 def do_GET(self): self.send_response(200) self.send_header("Content-Type", "text/html") self.send_header("Content-Length", str(len(self.Page))) self.end_headers() self.wfile.write(self.Page) #---------------------------------------------------------------------- if __name__ == '__main__': serverAddress = ('', 8080) server = BaseHTTPServer.HTTPServer(serverAddress, RequestHandler) server.serve_forever()

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import tensorflow as tf import inputdata import random from tensornet import TensorNet import time import datetime class NetSeven(TensorNet): def __init__(self): self.dir = "./net7/" self.name = "net7" self.channels = 3 self.x = tf.placeholder('float', shape=[None, 250, 250, self.channels]) self.y_ = tf.placeholder("float", shape=[None, 4]) self.w_conv1 = self.weight_variable([5, 5, self.channels, 5]) self.b_conv1 = self.bias_variable([5]) self.h_conv1 = tf.nn.relu(self.conv2d(self.x, self.w_conv1) + self.b_conv1) #self.h_conv1 = self.max_pool(self.h_conv1, 4) #self.w_conv2 = self.weight_variable([5, 5, 5, 3]) #self.b_conv2 = self.bias_variable([3]) #self.h_conv2 = tf.nn.relu(self.conv2d(self.h_conv1, self.w_conv2) + self.b_conv2) #self.h_conv2 = self.max_pool(self.h_conv2, 4) # print self.h_conv1.get_shape() conv_num_nodes = self.reduce_shape(self.h_conv1.get_shape()) fc1_num_nodes = 128 self.w_fc1 = self.weight_variable([conv_num_nodes, fc1_num_nodes]) # self.w_fc1 = self.weight_variable([1000, fc1_num_nodes]) self.b_fc1 = self.bias_variable([fc1_num_nodes]) self.h_conv_flat = tf.reshape(self.h_conv1, [-1, conv_num_nodes]) self.h_fc1 = tf.nn.relu(tf.matmul(self.h_conv_flat, self.w_fc1) + self.b_fc1) self.w_fc2 = self.weight_variable([fc1_num_nodes, 4]) self.b_fc2 = self.bias_variable([4]) self.y_out = tf.tanh(tf.matmul(self.h_fc1, self.w_fc2) + self.b_fc2) self.loss = tf.reduce_mean(.5*tf.square(self.y_out - self.y_)) self.train_step = tf.train.MomentumOptimizer(.003, .9) self.train = self.train_step.minimize(self.loss)

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from django.shortcuts import render, redirect from .models import User from django.contrib import messages def index(request): return render(request, 'login2_app/index.html') def process(request): if request.method == "POST": res = User.objects.register(request.POST) if res['status']: request.session['user'] = request.POST['first_name'] return redirect('/success') else: for i in range(0, len(res['data'])): messages.error(request, res['data'][i]) return redirect('/') def login(request): if request.method == "POST": res = User.objects.login(request.POST) if res['status']: request.session['user'] = res['data'][0].first_name return redirect('/success') else: messages.error(request, res['data'][0]) return redirect('/') def logout(request): request.session.flush() return redirect('/') def success(request): return render(request, 'login2_app/success.html')

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""" 任务：写一个web服务器 1、导入模块socket\threading\sys 2、建立套接字对象 3、地址重写 3、绑定端口号 4、设置监听，套接字由主动变被动 5、接受浏览器的链接accept 6、接收浏览器的请求 8、查找请求目录 9、发送响应报文 10、结束与浏览器的链接 """ import socket import threading import sys from application import app class HttpServer(object): """服务器类""" def __init__(self): self.tcp_server_socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM) self.tcp_server_socket.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, True) self.tcp_server_socket.bind(("", 8080)) self.tcp_server_socket.listen(128) def request_client(self, new_client_socket, ip_port): print("浏览器上线：", ip_port) request_data = new_client_socket.recv(1024) # print(request_data) if not request_data: print("浏览器下线", ip_port) new_client_socket.close() return response_data = app.application("./static", request_data, ip_port) new_client_socket.send(response_data) new_client_socket.close() def start(self): while True: new_client_socket, ip_port = self.tcp_server_socket.accept() thread_client = threading.Thread(target=self.request_client, args=(new_client_socket, ip_port)) thread_client.setDaemon(True) thread_client.start() if __name__ == '__main__': """启动""" http_server_socket = HttpServer() http_server_socket.start()

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n = int(input()) cnt = 0 for i in range(1, n + 1): cnt += i if cnt >= n: res = i break remove = cnt - n for i in range(1, res + 1): if i != remove: print(i)

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from django.conf import settings from django.test import TestCase, RequestFactory from model_mommy import mommy from devilry.devilry_account.models import PermissionGroup from devilry.devilry_admin.views.subject import crinstance_subject class TestCrAdminInstance(TestCase): def test_get_rolequeryset_not_admin(self): mommy.make('core.Subject') testuser = mommy.make(settings.AUTH_USER_MODEL) request = RequestFactory().get('/test') request.user = testuser instance = crinstance_subject.CrAdminInstance(request=request) self.assertEqual([], list(instance.get_rolequeryset())) def test_get_rolequeryset_superuser(self): testsubject = mommy.make('core.Subject') testuser = mommy.make(settings.AUTH_USER_MODEL, is_superuser=True) request = RequestFactory().get('/test') request.user = testuser instance = crinstance_subject.CrAdminInstance(request=request) self.assertEqual([testsubject], list(instance.get_rolequeryset())) def test_get_rolequeryset_admin_on_period_does_not_apply(self): testperiod = mommy.make('core.Period') periodpermissiongroup = mommy.make('devilry_account.PeriodPermissionGroup', period=testperiod) testuser = mommy.make(settings.AUTH_USER_MODEL) mommy.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=periodpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser instance = crinstance_subject.CrAdminInstance(request=request) self.assertEqual([], list(instance.get_rolequeryset())) def test_get_rolequeryset_admin_on_subject(self): testsubject = mommy.make('core.Subject') subjectpermissiongroup = mommy.make('devilry_account.SubjectPermissionGroup', subject=testsubject) testuser = mommy.make(settings.AUTH_USER_MODEL) mommy.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser instance = crinstance_subject.CrAdminInstance(request=request) self.assertEqual([testsubject], list(instance.get_rolequeryset())) def test_get_devilryrole_for_requestuser_not_admin(self): testsubject = mommy.make('core.Subject') testuser = mommy.make(settings.AUTH_USER_MODEL) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testsubject instance = crinstance_subject.CrAdminInstance(request=request) with self.assertRaises(ValueError): instance.get_devilryrole_for_requestuser() def test_get_devilryrole_for_requestuser_superuser(self): testsubject = mommy.make('core.Subject') testuser = mommy.make(settings.AUTH_USER_MODEL, is_superuser=True) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testsubject instance = crinstance_subject.CrAdminInstance(request=request) self.assertEqual('departmentadmin', instance.get_devilryrole_for_requestuser()) def test_get_devilryrole_for_requestuser_departmentadmin(self): testsubject = mommy.make('core.Subject') subjectpermissiongroup = mommy.make('devilry_account.SubjectPermissionGroup', permissiongroup__grouptype=PermissionGroup.GROUPTYPE_DEPARTMENTADMIN, subject=testsubject) testuser = mommy.make(settings.AUTH_USER_MODEL) mommy.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testsubject instance = crinstance_subject.CrAdminInstance(request=request) self.assertEqual('departmentadmin', instance.get_devilryrole_for_requestuser()) def test_get_devilryrole_for_requestuser_subjectadmin(self): testsubject = mommy.make('core.Subject') subjectpermissiongroup = mommy.make('devilry_account.SubjectPermissionGroup', permissiongroup__grouptype=PermissionGroup.GROUPTYPE_SUBJECTADMIN, subject=testsubject) testuser = mommy.make(settings.AUTH_USER_MODEL) mommy.make('devilry_account.PermissionGroupUser', user=testuser, permissiongroup=subjectpermissiongroup.permissiongroup) request = RequestFactory().get('/test') request.user = testuser request.cradmin_role = testsubject instance = crinstance_subject.CrAdminInstance(request=request) self.assertEqual('subjectadmin', instance.get_devilryrole_for_requestuser())

[ "post@espenak.net" ]

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output_a = "{:f}".format(52.273) output_b = "{:15f}".format(52.273) # 15칸 만들기 output_c = "{:+15f}".format(52.273) # 15칸에 부호 추가하기 output_d = "{:+015f}".format(52.273) # 15칸에 부호 추가하고 0으로 채우기 print(output_a) print(output_b) print(output_c) print(output_d)

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import numpy as np from torch.utils.data import DataLoader from torch.utils.data.dataloader import default_collate from torch.utils.data.sampler import SubsetRandomSampler class BaseDataLoader(DataLoader): """ Base class for all data loaders """ def __init__(self, dataset, batch_size, shuffle, validation_split, num_workers, collate_fn=default_collate): self.validation_split = validation_split self.shuffle = shuffle self.batch_idx = 0 self.n_samples = len(dataset) self.sampler, self.valid_sampler = self._split_sampler(self.validation_split) self.init_kwargs = { "dataset": dataset, "batch_size": batch_size, "shuffle": self.shuffle, "collate_fn": collate_fn, "num_workers": num_workers, } super().__init__(sampler=self.sampler, **self.init_kwargs) def _split_sampler(self, split): if split == 0.0: return None, None idx_full = np.arange(self.n_samples) np.random.seed(0) np.random.shuffle(idx_full) if isinstance(split, int): assert split > 0 assert split < self.n_samples, "validation set size is configured to be larger than entire dataset." len_valid = split else: len_valid = int(self.n_samples * split) valid_idx = idx_full[0:len_valid] train_idx = np.delete(idx_full, np.arange(0, len_valid)) train_sampler = SubsetRandomSampler(train_idx) valid_sampler = SubsetRandomSampler(valid_idx) # turn off shuffle option which is mutually exclusive with sampler self.shuffle = False self.n_samples = len(train_idx) return train_sampler, valid_sampler def split_validation(self): if self.valid_sampler is None: return None else: return DataLoader(sampler=self.valid_sampler, **self.init_kwargs)

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2020-07-10T15:30:07.447621

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import os # Debug DEBUG=True # Celery Settings CELERY_BROKER_URL = "pyamqp://rabbitmq:5672/" CELERY_RESULT_BACKEND = "redis://redis:6379/0" TASK_SERIALIZER = "json" RESULT_SERIALZIER = "json" ACCEPT_CONTENT = ["json"] # Timezome TIMEZONE = "America/New_York" ENABLE_UTC = True # APIs IPINFO_API_URL = "http://ip-api.com/json/" NEUTRINO_API_URL = "https://neutrinoapi.com/" # Environment Settings # NEUTRINO_API_KEY = os.environ.get("NEUTRINO_API_KEY") # NEUTRINO_API_USERNAME = os.environ.get("NEUTRINO_API_USERNAME") # BIGFIX_USER = os.environ.get("BF_USER") # BIGFIX_PWD = os.environ.get("BF_PWD")

[ "craig@craigderington.me" ]

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"""User settings for a project.""" # load the system configuration. You can override them in this module, # but beware it might break stuff from .sysconfig import *

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import pykka from mopidy import backend, httpclient import cachetools from . import Extension from .client import InternetArchiveClient from .library import InternetArchiveLibraryProvider from .playback import InternetArchivePlaybackProvider def _cache(cache_size=None, cache_ttl=None, **kwargs): if cache_size is None: return None elif cache_ttl is None: return cachetools.LRUCache(cache_size) else: return cachetools.TTLCache(cache_size, cache_ttl) class InternetArchiveBackend(pykka.ThreadingActor, backend.Backend): uri_schemes = [Extension.ext_name] def __init__(self, config, audio): super().__init__() ext_config = config[Extension.ext_name] self.client = client = InternetArchiveClient( ext_config["base_url"], retries=ext_config["retries"], timeout=ext_config["timeout"], ) product = f"{Extension.dist_name}/{Extension.version}" client.useragent = httpclient.format_user_agent(product) proxy = httpclient.format_proxy(config["proxy"]) client.proxies.update({"http": proxy, "https": proxy}) client.cache = _cache(**ext_config) self.library = InternetArchiveLibraryProvider(ext_config, self) self.playback = InternetArchivePlaybackProvider(audio, self)

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tkemmer@computer.org

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import sys from common import readFasta syms = { 'A' : 0, 'C' : 1, 'D' : 2, 'E' : 3, 'F' : 4, 'G' : 5, 'H' : 6, 'I' : 7, 'K' : 8, 'L' : 9, 'M' : 10, 'N' : 11, 'P' : 12, 'Q' : 13, 'R' : 14, 'S' : 15, 'T' : 16, 'V' : 17, 'W' : 18, 'Y' : 19, } score = [ [ 4, 0, -2, -1, -2, 0, -2, -1, -1, -1, -1, -2, -1, -1, -1, 1, 0, 0, -3, -2], [ 0, 9, -3, -4, -2, -3, -3, -1, -3, -1, -1, -3, -3, -3, -3, -1, -1, -1, -2, -2], [-2, -3, 6, 2, -3, -1, -1, -3, -1, -4, -3, 1, -1, 0, -2, 0, -1, -3, -4, -3], [-1, -4, 2, 5, -3, -2, 0, -3, 1, -3, -2, 0, -1, 2, 0, 0, -1, -2, -3, -2], [-2, -2, -3, -3, 6, -3, -1, 0, -3, 0, 0, -3, -4, -3, -3, -2, -2, -1, 1, 3], [ 0, -3, -1, -2, -3, 6, -2, -4, -2, -4, -3, 0, -2, -2, -2, 0, -2, -3, -2, -3], [-2, -3, -1, 0, -1, -2, 8, -3, -1, -3, -2, 1, -2, 0, 0, -1, -2, -3, -2, 2], [-1, -1, -3, -3, 0, -4, -3, 4, -3, 2, 1, -3, -3, -3, -3, -2, -1, 3, -3, -1], [-1, -3, -1, 1, -3, -2, -1, -3, 5, -2, -1, 0, -1, 1, 2, 0, -1, -2, -3, -2], [-1, -1, -4, -3, 0, -4, -3, 2, -2, 4, 2, -3, -3, -2, -2, -2, -1, 1, -2, -1], [-1, -1, -3, -2, 0, -3, -2, 1, -1, 2, 5, -2, -2, 0, -1, -1, -1, 1, -1, -1], [-2, -3, 1, 0, -3, 0, 1, -3, 0, -3, -2, 6, -2, 0, 0, 1, 0, -3, -4, -2], [-1, -3, -1, -1, -4, -2, -2, -3, -1, -3, -2, -2, 7, -1, -2, -1, -1, -2, -4, -3], [-1, -3, 0, 2, -3, -2, 0, -3, 1, -2, 0, 0, -1, 5, 1, 0, -1, -2, -2, -1], [-1, -3, -2, 0, -3, -2, 0, -3, 2, -2, -1, 0, -2, 1, 5, -1, -1, -3, -3, -2], [ 1, -1, 0, 0, -2, 0, -1, -2, 0, -2, -1, 1, -1, 0, -1, 4, 1, -2, -3, -2], [ 0, -1, -1, -1, -2, -2, -2, -1, -1, -1, -1, 0, -1, -1, -1, 1, 5, 0, -2, -2], [ 0, -1, -3, -2, -1, -3, -3, 3, -2, 1, 1, -3, -2, -2, -3, -2, 0, 4, -3, -1], [-3, -2, -4, -3, 1, -2, -2, -3, -3, -2, -1, -4, -4, -2, -3, -3, -2, -3, 11, 2], [-2, -2, -3, -2, 3, -3, 2, -1, -2, -1, -1, -2, -3, -1, -2, -2, -2, -1, 2, 7] ] gapPenalty = -5 def editDistance(s, t): ls = len(s) + 1 lt = len(t) + 1 mat = [ [0 for j in range(0,lt)] for i in range(0,ls)] gap = [ [False for j in range(0,lt)] for i in range(0,ls)] for i in range(1,ls): mat[i][0] = gapPenalty gap[i][0] = True for j in range(1,lt): mat[0][j] = gapPenalty gap[0][j] = True for i in range(1,ls): sa = s[i-1] for j in range(1,lt): ta = t[j-1] scoreVal = score[syms[sa]][syms[ta]] if sa == ta: mat[i][j] = mat[i-1][j-1] + scoreVal else: agap = gap[i-1][j] if agap: a = mat[i-1][j] else: a = mat[i-1][j] + gapPenalty bgap = gap[i][j-1] if bgap: b = mat[i][j-1] else: b = mat[i][j-1] + gapPenalty c = mat[i-1][j-1] + scoreVal maxi = max(a, b, c) mat[i][j] = maxi if maxi == a or maxi == b: gap[i][j] = True print s print t for m in mat: for n in m: print n, print for m in gap: for n in m: print n, print return mat[-1][-1] if __name__ == '__main__': dnas = readFasta(sys.argv[1]) print editDistance(dnas[0][1], dnas[1][1])

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""" Slide through 3D Volume series in 4D data using the add_volume API """ from skimage import data import numpy as np import napari with napari.gui_qt(): blobs = np.asarray( [ data.binary_blobs(length=64, volume_fraction=0.1, n_dim=3).astype( float ) for i in range(10) ] ) viewer = napari.Viewer() # add the volume volume = viewer.add_image(blobs, ndisplay=3) slice = viewer.add_image(blobs) slice.dims.sliced = 0

[ "sofroniewn@gmail.com" ]

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import os from util.full import unit, init, matrix from dalmisc import oli from .common_tests import assert_ def setup(): global suppdir n, e = os.path.splitext(__file__) suppdir = n + ".d" def test_e2n_S(): refe2 = init([ [0.78643356, -0.50624296], [-0.50624296, 0.78643356] ]) e2 = [oli.e2n(n, tmpdir=suppdir) for n in unit(2)] assert_(e2, refe2) def test_s2n_S(): refs2 = matrix.diag([2., -2.]) s2 = [oli.s2n(n, tmpdir=suppdir) for n in unit(2)] assert_(s2, refs2) if __name__ == "__main__": setup() test_e2n_S()

[ "vahtras@kth.se" ]

vahtras@kth.se

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Spencerx/experiments

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from config.experiment_config_lib import ControllerConfig from sts.topology import * from sts.control_flow import InteractiveReplayer from sts.simulation_state import SimulationConfig from sts.input_traces.input_logger import InputLogger simulation_config = SimulationConfig(controller_configs=[ControllerConfig(start_cmd='./pyretic.py -m p0 pyretic.examples.firewall_for_sts_no_close', label='c1', address='127.0.0.1', cwd='../pyretic', kill_cmd='ps aux | grep -e pox -e pyretic | grep -v simulator | cut -c 9-15 | xargs kill -9')], topology_class=MeshTopology, topology_params="num_switches=3", patch_panel_class=BufferedPatchPanel, multiplex_sockets=False, kill_controllers_on_exit=True) control_flow = InteractiveReplayer(simulation_config, "experiments/fuzz_pyretic_mesh_proactive_firewall_no_close_check_loop_mcs/interreplay_135_r_4/events.trace") # wait_on_deterministic_values=False # delay_flow_mods=False # Invariant check: 'None'

[ "cs@cs.berkeley.edu" ]

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import tensorflow as tf class ConvLSTMCell(tf.nn.rnn_cell.RNNCell): """A LSTM cell with convolutions instead of multiplications. Reference: Xingjian, S. H. I., et al. "Convolutional LSTM network: A machine learning approach for precipitation nowcasting." Advances in Neural Information Processing Systems. 2015. """ def __init__(self, shape, filters, kernel, forget_bias=1.0, activation=tf.tanh, normalize=True, peephole=True, data_format='channels_last', reuse=None): super(ConvLSTMCell, self).__init__(_reuse=reuse) self._kernel = kernel self._filters = filters self._forget_bias = forget_bias self._activation = activation self._normalize = normalize self._peephole = peephole if data_format == 'channels_last': self._size = tf.TensorShape(shape + [self._filters]) self._feature_axis = self._size.ndims self._data_format = None elif data_format == 'channels_first': self._size = tf.TensorShape([self._filters] + shape) self._feature_axis = 0 self._data_format = 'NC' else: raise ValueError('Unknown data_format') @property def state_size(self): return tf.nn.rnn_cell.LSTMStateTuple(self._size, self._size) @property def output_size(self): return self._size def call(self, x, state): c, h = state x = tf.concat([x, h], axis=self._feature_axis) n = x.shape[-1].value m = 4 * self._filters if self._filters > 1 else 4 W = tf.get_variable('kernel', self._kernel + [n, m]) y = tf.nn.convolution(x, W, 'SAME', data_format=self._data_format) if not self._normalize: y += tf.get_variable('bias', [m], initializer=tf.zeros_initializer()) j, i, f, o = tf.split(y, 4, axis=self._feature_axis) if self._peephole: i += tf.get_variable('W_ci', c.shape[1:]) * c f += tf.get_variable('W_cf', c.shape[1:]) * c if self._normalize: j = tf.contrib.layers.layer_norm(j) i = tf.contrib.layers.layer_norm(i) f = tf.contrib.layers.layer_norm(f) f = tf.sigmoid(f + self._forget_bias) i = tf.sigmoid(i) c = c * f + i * self._activation(j) if self._peephole: o += tf.get_variable('W_co', c.shape[1:]) * c if self._normalize: o = tf.contrib.layers.layer_norm(o) c = tf.contrib.layers.layer_norm(c) o = tf.sigmoid(o) h = o * self._activation(c) # TODO #tf.summary.histogram('forget_gate', f) #tf.summary.histogram('input_gate', i) #tf.summary.histogram('output_gate', o) #tf.summary.histogram('cell_state', c) state = tf.nn.rnn_cell.LSTMStateTuple(c, h) return h, state class ConvGRUCell(tf.nn.rnn_cell.RNNCell): """A GRU cell with convolutions instead of multiplications.""" def __init__(self, shape, filters, kernel, activation=tf.tanh, normalize=True, data_format='channels_last', reuse=None): super(ConvGRUCell, self).__init__(_reuse=reuse) self._filters = filters self._kernel = kernel self._activation = activation self._normalize = normalize if data_format == 'channels_last': self._size = tf.TensorShape(shape + [self._filters]) self._feature_axis = self._size.ndims self._data_format = None elif data_format == 'channels_first': self._size = tf.TensorShape([self._filters] + shape) self._feature_axis = 0 self._data_format = 'NC' else: raise ValueError('Unknown data_format') @property def state_size(self): return self._size @property def output_size(self): return self._size def call(self, x, h): channels = x.shape[self._feature_axis].value with tf.variable_scope('gates'): inputs = tf.concat([x, h], axis=self._feature_axis) n = channels + self._filters m = 2 * self._filters if self._filters > 1 else 2 W = tf.get_variable('kernel', self._kernel + [n, m]) y = tf.nn.convolution(inputs, W, 'SAME', data_format=self._data_format) if self._normalize: r, u = tf.split(y, 2, axis=self._feature_axis) r = tf.contrib.layers.layer_norm(r) u = tf.contrib.layers.layer_norm(u) else: y += tf.get_variable('bias', [m], initializer=tf.ones_initializer()) r, u = tf.split(y, 2, axis=self._feature_axis) r, u = tf.sigmoid(r), tf.sigmoid(u) # TODO #tf.summary.histogram('reset_gate', r) #tf.summary.histogram('update_gate', u) with tf.variable_scope('candidate'): inputs = tf.concat([x, r * h], axis=self._feature_axis) n = channels + self._filters m = self._filters W = tf.get_variable('kernel', self._kernel + [n, m]) y = tf.nn.convolution(inputs, W, 'SAME', data_format=self._data_format) if self._normalize: y = tf.contrib.layers.layer_norm(y) else: y += tf.get_variable('bias', [m], initializer=tf.zeros_initializer()) h = u * h + (1 - u) * self._activation(y) return h, h

[ "charlie.xu007@yahoo.com" ]

charlie.xu007@yahoo.com

82ab7c61bcd07b03c93eb2c5495b8867ec737671

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refs/heads/master

2023-08-21T11:35:16.710064

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pkgname = "dialog" _mver = "1.3" _date = "20210621" pkgver = f"{_mver}.{_date}" pkgrel = 0 build_style = "gnu_configure" configure_args = ["--with-ncursesw", "--disable-nls"] makedepends = ["ncurses-devel"] pkgdesc = "Tool to display dialog boxes from shell scripts" maintainer = "q66 <q66@chimera-linux.org>" license = "LGPL-2.1-only" url = "https://invisible-island.net/dialog" source = f"https://invisible-mirror.net/archives/{pkgname}/{pkgname}-{_mver}-{_date}.tgz" sha256 = "c3af22ccfcd9baca384062108dd9354e86990929ee270c239eef69518c5da7c8" def post_install(self): self.rm(self.destdir / "usr/lib", force = True, recursive = True)

[ "q66@chimera-linux.org" ]

q66@chimera-linux.org

d039d23102a35433edadb4a67f3a22b65f11d99c

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/gatheros_event/helpers/event_business.py

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[]

no_license

hugoseabra/congressy

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refs/heads/master

2023-07-07T04:44:26.424590

2021-08-11T15:47:02

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""" Esses helpers tem como objetivo identificar o tipo do evento: - Grátis - Pago Além de também mudar o tipo do evento e aplicar as configuração das features disponiveis de acordo com o tipo em si """ from gatheros_event.event_state import EventState, EventPayable from gatheros_event.models import Event from gatheros_event.event_specifications import Saleable def is_free_event(event: Event): if not isinstance(event, Event): raise Exception("{} '{}' não é uma instancia de Event".format( event, event.__class__, )) return EventState(event).is_free() def is_paid_event(event: Event): if not isinstance(event, Event): raise Exception("{} '{}' não é uma instancia de Event".format( event, event.__class__, )) return EventState(event).is_payable() def removing_saleable_cause_feature_change(event: Event, candidate, candidate_type) -> bool: if not Saleable().is_satisfied_by(candidate): raise Exception( "{} '{}' não é uma instancia capaz de ser vendida".format( candidate, candidate.__class__, )) return not EventPayable(exclude=candidate, exclude_type=candidate_type).is_satisfied_by(event)

[ "nathan.eua@gmail.com" ]

nathan.eua@gmail.com

fef0aa9b88d267ea1543943ccc5df703e7c1d7d2

45c7693fabf2bf6aa142ea08ed7ec45b9a6aee79

/apps/belt_app/views.py

576b7dfeec8067fb6ad1415728705a1827018ea8

[]

no_license

stuffyUdaya/quote

95cedd352b493eb29f127cc9be78456652e1cca8

ae979eeb92b490fa12ee95d4276bef9517286c5a

refs/heads/master

2021-01-09T06:11:50.343620

2017-02-04T14:43:09

80,923,789

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from django.shortcuts import render,redirect from django.urls import reverse from django.contrib import messages from .models import User,Quote,Fav from django.db.models import Count def index(request): return render (request, 'belt_app/index.html') def process(request): results = User.objects.userValidator(request.POST['name'],request.POST['alias'],request.POST['email'],request.POST['password'],request.POST['confpassword'],request.POST['dateofbirth']) if results[0]: for err in results[1]: print err messages.error(request,err) else: request.session ['loggedin'] = results[1].id return redirect('/success') return redirect('/') def login(request): postData ={ 'email': request.POST['email'], 'password': request.POST['password'] } results = User.objects.loginValidator(postData) if results[0]: request.session['loggedin'] = results[1].id return redirect('/success') else: messages.error(request,results[1]) return redirect('/') def success(request): fav = Fav.objects.filter(user_id = request.session['loggedin']) quote_other = Quote.objects.all() for x in fav : print x.quote_id quote_other = quote_other.exclude(id = x.quote_id) print quote_other context = { 'user': User.objects.get(id = request.session['loggedin']), # 'quote': Quote.objects.all(), 'fav': Fav.objects.filter(user_id = request.session['loggedin']), 'quote':quote_other } return render(request,'belt_app/success.html',context) def addquote(request,id): postee_id = id # user = User.objects.get(id = id) results = Quote.objects.quoteValidator(request.POST['qname'], request.POST['message'],postee_id) if results[0]: for err in results[1]: print err messages.error(request,err) return redirect('/success') else: return redirect('/success') # context = { # 'add': Quote.objects.create(qname = request.POST['qname'], message = request.POST['message'], postee = user) # } def fav(request,id,uid): favs = Fav.objects.create(user_id = uid, quote_id = id), return redirect('/success') def view(request,id): context= { 'view': Quote.objects.filter(postee_id = id) } return render(request,'belt_app/view.html', context) def remove(request,id,uid): Fav.objects.get(user_id = uid, quote_id = id ).delete() return redirect('/success') def logout(request): request.session.flush() return redirect('/')

[ "udayatummala1@gmail.com" ]

udayatummala1@gmail.com

b10b197f934cdecd38564cb304870ecf73768943

e5329001263e67a4d3c13d57bb91f2502280e206

/InvTL/lm_py/pypy/jit/metainterp/test/test_ztranslation.py

d5db7f3d2c2fc1f5deaf59451266e18775a8ea35

[]

no_license

yanhongliu/DARLAB

d9432db6e005a39e33501d7ffffe6e648b95b3fc

f739318c9620b44ef03d155f791c7ed4111d80fa

refs/heads/master

2021-05-27T19:58:58.458846

2014-02-04T12:09:26

null

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import py from pypy.jit.metainterp.warmspot import rpython_ll_meta_interp, ll_meta_interp from pypy.jit.backend.llgraph import runner from pypy.rlib.jit import JitDriver, OPTIMIZER_FULL, unroll_parameters from pypy.rlib.jit import PARAMETERS, dont_look_inside from pypy.jit.metainterp.jitprof import Profiler from pypy.rpython.lltypesystem import lltype, llmemory from pypy.rpython.ootypesystem import ootype class TranslationTest: CPUClass = None type_system = None def test_stuff_translates(self): # this is a basic test that tries to hit a number of features and their # translation: # - jitting of loops and bridges # - virtualizables # - set_param interface # - profiler # - full optimizer # - jitdriver hooks class Frame(object): _virtualizable2_ = ['i'] def __init__(self, i): self.i = i class JitCellCache: entry = None jitcellcache = JitCellCache() def set_jitcell_at(entry): jitcellcache.entry = entry def get_jitcell_at(): return jitcellcache.entry def get_printable_location(): return '(hello world)' def can_inline(): return False jitdriver = JitDriver(greens = [], reds = ['frame', 'total'], virtualizables = ['frame'], get_jitcell_at=get_jitcell_at, set_jitcell_at=set_jitcell_at, get_printable_location=get_printable_location, can_inline=can_inline) def f(i): for param in unroll_parameters: defl = PARAMETERS[param] jitdriver.set_param(param, defl) jitdriver.set_param("threshold", 3) jitdriver.set_param("trace_eagerness", 2) total = 0 frame = Frame(i) while frame.i > 3: jitdriver.can_enter_jit(frame=frame, total=total) jitdriver.jit_merge_point(frame=frame, total=total) total += frame.i if frame.i >= 20: frame.i -= 2 frame.i -= 1 return total * 10 res = ll_meta_interp(f, [40], CPUClass=self.CPUClass, type_system=self.type_system) assert res == f(40) res = rpython_ll_meta_interp(f, [40], loops=2, CPUClass=self.CPUClass, type_system=self.type_system, optimizer=OPTIMIZER_FULL, ProfilerClass=Profiler) assert res == f(40) def test_external_exception_handling_translates(self): jitdriver = JitDriver(greens = [], reds = ['n', 'total']) @dont_look_inside def f(x): if x > 20: return 2 raise ValueError @dont_look_inside def g(x): if x > 15: raise ValueError return 2 def main(i): jitdriver.set_param("threshold", 3) jitdriver.set_param("trace_eagerness", 2) total = 0 n = i while n > 3: jitdriver.can_enter_jit(n=n, total=total) jitdriver.jit_merge_point(n=n, total=total) try: total += f(n) except ValueError: total += 1 try: total += g(n) except ValueError: total -= 1 n -= 1 return total * 10 res = ll_meta_interp(main, [40], CPUClass=self.CPUClass, type_system=self.type_system) assert res == main(40) res = rpython_ll_meta_interp(main, [40], loops=2, CPUClass=self.CPUClass, type_system=self.type_system, optimizer=OPTIMIZER_FULL, ProfilerClass=Profiler) assert res == main(40) class TestTranslationLLtype(TranslationTest): CPUClass = runner.LLtypeCPU type_system = 'lltype'

[ "mickg10@gmail.com" ]

mickg10@gmail.com

a5b0332978d11b16182826ca5685a1f52e032ea8

afd9c9dd58d0e91b84aab77d24ccf36d8b020f94

/obonet/io.py

e43afb702a0fc788224648937aaebdb130624ff5

[ "BSD-2-Clause-Patent" ]

permissive

dhimmel/obonet

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fec6a82e53d01338c85e77039a4dc05288f6ab99

refs/heads/main

2023-03-04T00:29:18.215986

2023-02-28T17:17:57

35,751,761

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NOASSERTION

2022-11-10T11:22:07

2015-05-17T04:23:23

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from __future__ import annotations import importlib import io import logging import mimetypes import os import re from typing import Callable, TextIO, Union from urllib.request import urlopen PathType = Union[str, os.PathLike, TextIO] def open_read_file(path: PathType, encoding: str | None = None) -> TextIO: """ Return a file object from the path. Automatically detects and supports URLs and compression. If path is pathlike, it's converted to a string. If path is not a string nor pathlike, it's passed through without modification. Use encoding to set the text character set encoding. Use `encoding=None` to use the platform-dependent default locale encoding. """ # Convert pathlike objects to string paths if hasattr(path, "__fspath__"): path = os.fspath(path) if not isinstance(path, str): # Passthrough open file buffers without modification return path # Get opener based on file extension opener = get_opener(path) # Read from URL if re.match("^(http|ftp)s?://", path): with urlopen(path) as response: content = response.read() if opener == io.open: if not encoding: encoding = response.headers.get_content_charset(failobj="utf-8") logging.info(f"Will decode content from {path} using {encoding} charset.") text = content.decode(encoding) return io.StringIO(text) else: compressed_bytes = io.BytesIO(content) return opener(compressed_bytes, "rt", encoding=encoding) # Read from file return opener(path, "rt", encoding=encoding) compression_to_module = { "gzip": "gzip", "bzip2": "bz2", "xz": "lzma", } def get_opener(filename: str) -> Callable[..., TextIO]: """ Automatically detect compression and return the file opening function. """ _type, compression = mimetypes.guess_type(filename) if compression is None: opener = io.open else: module = compression_to_module[compression] opener = importlib.import_module(module).open return opener

[ "daniel.himmelstein@gmail.com" ]

daniel.himmelstein@gmail.com

5b7b72098bba09b1082880311e8f3fdb84f678c9

5864e86954a221d52d4fa83a607c71bacf201c5a

/eve/client/script/entities/ActionObjectClient.py

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[]

no_license

connoryang/1v1dec

e9a2303a01e5a26bf14159112b112be81a6560fd

404f2cebf13b311e754d45206008918881496370

refs/heads/master

2021-05-04T02:34:59.627529

2016-10-19T08:56:26

71,334,417

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#Embedded file name: e:\jenkins\workspace\client_SERENITY\branches\release\SERENITY\eve\client\script\entities\ActionObjectClient.py import svc import localization class EveActionObjectClientSvc(svc.actionObjectClientSvc): __guid__ = 'svc.eveActionObjectClientSvc' __replaceservice__ = 'actionObjectClientSvc' def SetupComponent(self, entity, component): infoComponent = entity.GetComponent('info') if infoComponent and not infoComponent.name and component in self.preservedStates: recipeRow = cfg.recipes.Get(self.preservedStates[component]['_recipeID']) infoComponent.name = recipeRow.recipeName svc.actionObjectClientSvc.SetupComponent(self, entity, component) def Run(self, *args): svc.actionObjectClientSvc.Run(self, *args) def GetActionNodeTranslatedText(self, actionID, fallbackText): treeNodeNameID = cfg.treeNodes.Get(actionID).treeNodeNameID return localization.GetByMessageID(treeNodeNameID)

[ "le02005@163.com" ]

le02005@163.com

7a177033a21ab52312bd03811c74b9fa2fc6488c

04164e028417ff8472b9f2bfec0ec45b0888f743

/development/utilities/qh-interpolate

23660381db250d30447b73d6e97d1e567b0a7eff

[]

no_license

Huaguiyuan/quantum-honeycomp

c2b810ff5f5e25d41b1f0c1c1ff7ae500b04dc31

50deb0e59fffe4031f05094572552ca5be59e741

refs/heads/master

2020-03-22T19:09:58.148862

2018-07-08T19:51:58

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1

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2018-07-11T02:20:32

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#!/usr/bin/python import numpy as np import numpy def write_interpolation(centers=[[0.,0.,0.]], heights=[10.0],name=""): """ Creates a set of lorentzian at that position and with a height""" if len(heights)<len(centers): heights = [10. for i in centers] fac = 5.0 # factor to mix the gaussians def wave(x,y): z = 0. for (c,h) in zip(centers,heights): r = ((x-c[0])**2+(y-c[1])**2)*fac # renormalized gaussian z += h*np.exp(-(r))-c[2] return z+1.0 xs = [c[0] for c in centers] # get x coordinates ys = [c[1] for c in centers] # get y coordinates dxy = (max(xs) - min(xs))/200 try: n = int(float(sys.argv[2])) except: n = 80 print n,"points" x = np.linspace(min(xs),max(xs),n) y = np.linspace(min(ys),max(ys),n) fo = open(name,"w") # open output file for ix in x: for iy in y: iz = wave(ix,iy) fo.write(str(ix)+" ") fo.write(str(iy)+" ") fo.write(str(iz)+"\n") fo.close() #centers = np.arange(0.,10.,2.) import sys # get the centers of the balls try: name = sys.argv[1] except: print "Usage qh-interpolate name" exit() # exit m = np.genfromtxt(name).transpose() centers = [[m[0,i],m[1,i],0.] for i in range(len(m[0]))] heights = m[2] #heights = read_density() heights = 4*heights/max(heights) #heights = np.sqrt(heights) #balls = [ball(center=c) for c in centers] write_interpolation(centers=centers,heights=heights,name=name+"-interpolated")

[ "jose.luis.lado@gmail.com" ]

jose.luis.lado@gmail.com

9dc965a73917db5c9bc735c53cda18a3e9a59059

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/setup.py

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[ "Apache-2.0" ]

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q759729997/qytPython

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refs/heads/master

2020-12-05T13:57:43.794982

2020-03-29T15:00:27

232,131,640

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#!/usr/bin/env python # coding=utf-8 import os from setuptools import setup, find_packages __version__ = None with open("qytPython/version.py") as f: exec(f.read()) with open('README.md', encoding='utf-8') as f: readme = f.read() with open('LICENSE', encoding='utf-8') as f: license = f.read() with open('requirements.txt', encoding='utf-8') as f: reqs = f.read() pkgs = [p for p in find_packages() if p.startswith('qytPython')] print(pkgs) # 执行依赖包安装，使用豆瓣源加速 install_cmd = 'pip install -r requirements.txt -i https://pypi.douban.com/simple/' print(install_cmd) os.system(install_cmd) setup( name='qytPython', version=__version__, url='https://github.com/q759729997/qytPython', description='qytPython: Python tools', long_description=readme, long_description_content_type='text/markdown', license=license, author='qiaoyongtian', python_requires='>=3.6', packages=pkgs, install_requires=reqs.strip().split('\n'), )

[ "qiaoyongtian@qq.com" ]

qiaoyongtian@qq.com

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/pySDC/implementations/collocation_classes/equidistant_spline_right.py

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[ "BSD-2-Clause" ]

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DmytroSytnyk/pySDC

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9c7c41ac00411cdc58dfa30be794c3bb77a58293

refs/heads/master

2020-04-16T13:58:44.021412

2018-11-19T07:55:42

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from __future__ import division import numpy as np import scipy.interpolate as intpl from pySDC.core.Collocation import CollBase from pySDC.core.Errors import CollocationError class EquidistantSpline_Right(CollBase): """ Implements equidistant nodes with right end point included and spline interpolation Attributes: order (int): order of the quadrature num_nodes (int): number of collocation nodes tleft (float): left interval point tright (float): right interval point nodes (numpy.ndarray): array of quadrature nodes weights (numpy.ndarray): array of quadrature weights for the full interval Qmat (numpy.ndarray): matrix containing the weights for tleft to node Smat (numpy.ndarray): matrix containing the weights for node to node delta_m (numpy.ndarray): array of distances between nodes right_is_node (bool): flag to indicate whether right point is collocation node left_is_node (bool): flag to indicate whether left point is collocation node """ def __init__(self, num_nodes, tleft, tright): """ Initialization Args: num_nodes (int): number of nodes tleft (float): left interval boundary (usually 0) tright (float): right interval boundary (usually 1) """ super(EquidistantSpline_Right, self).__init__(num_nodes, tleft, tright) if num_nodes < 2: raise CollocationError("Number of nodes should be at least 2 for equidist. splines, but is %d" % num_nodes) # This is a fixed order since we are using splines here! No spectral accuracy! self.order = min(num_nodes - 1, 3) # We need: 1<=order<=5 and order < num_nodes self.nodes = self._getNodes self.weights = self._getWeights(tleft, tright) self.Qmat = self._gen_Qmatrix self.Smat = self._gen_Smatrix self.delta_m = self._gen_deltas self.left_is_node = False self.right_is_node = True @property def _getNodes(self): """ Compute equidistant nodes with right end point included Returns: np.ndarray: array of equidistant nodes """ return np.linspace(self.tleft + 1.0 / self.num_nodes, self.tright, self.num_nodes, endpoint=True) def _getWeights(self, a, b): """ Computes weights using spline interpolation instead of Gaussian quadrature Args: a (float): left interval boundary b (float): right interval boundary Returns: np.ndarray: weights of the collocation formula given by the nodes """ # get the defining tck's for each spline basis function circ_one = np.zeros(self.num_nodes) circ_one[0] = 1.0 tcks = [] for i in range(self.num_nodes): tcks.append( intpl.splrep(self.nodes, np.roll(circ_one, i), xb=self.tleft, xe=self.tright, k=self.order, s=0.0)) weights = np.zeros(self.num_nodes) for i in range(self.num_nodes): weights[i] = intpl.splint(a, b, tcks[i]) return weights

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janFrancoo/Machine-Learning-Tutorials

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from sklearn.datasets import load_iris from sklearn.neighbors import KNeighborsClassifier from sklearn.metrics import accuracy_score, confusion_matrix from sklearn.model_selection import train_test_split, cross_val_score df = load_iris() x = df.data y = df.target x_train, x_test, y_train, y_test = train_test_split(x, y, test_size=.33) knn = KNeighborsClassifier(n_neighbors=3) knn.fit(x_train, y_train) res = knn.predict(x_test) cm = confusion_matrix(res, y_test) print(cm) print("Accuracy = ", accuracy_score(res, y_test)) crossValScore = cross_val_score(knn, x_train, y_train, cv=3) print("Cross Validation Score = ", crossValScore.mean()) print("Standard Deviation = ", crossValScore.std())

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from __future__ import print_function from builtins import zip from builtins import map from builtins import str import itertools import numpy as np from .. import ParallelSampler def task(p): i,p = p results = star_sampler.pipeline.run_results(p) #If requested, save the data to file if star_sampler.save_name and results.block is not None: results.block.save_to_file(star_sampler.save_name+"_%d"%i, clobber=True) return (results.post, results.prior, results.extra) LARGE_JOB_SIZE = 1000000 class StarSampler(ParallelSampler): parallel_output = False sampler_outputs = [("prior", float),("post", float)] understands_fast_subspaces = True def config(self): global star_sampler star_sampler = self self.converged = False self.nsample = self.read_ini("nsample_dimension", int, 1) self.save_name = self.read_ini("save", str, "") self.nstep = self.read_ini("nstep", int, -1) self.allow_large = self.read_ini("allow_large", bool, False) self.sample_points = None self.ndone = 0 def setup_sampling(self): #Number of jobs to do at once. #Can be taken from the ini file. #Otherwise it is set to -1 by default if self.nstep==-1: #if in parallel mode do a chunk of 4*the number of tasks to do at once #chosen arbitrarily. if self.pool: self.nstep = 4*self.pool.size #if not parallel then just do a single slice through one dimension each chunk else: self.nstep = self.nsample if self.output: for name,value in zip(self.pipeline.varied_params, self.pipeline.start_vector()): self.output.metadata("fid_{0}".format(name), value) #Also Generate the complete collection of parameter sets to run over. #This doesn't actually keep them all in memory, it is just the conceptual #outer product total_samples = self.nsample*len(self.pipeline.varied_params) print() print("Total number of star samples: ", total_samples) if total_samples>LARGE_JOB_SIZE: print("That is a very large number of samples.") if self.allow_large: print("But you set allow_large=T so I will continue") else: print("This is suspicously large so I am going to stop") print("If you really want to do this set allow_large=T in the") print("[star] section of the ini file.") raise ValueError("Suspicously large number of star points %d ( = n_samp * n_dim = %d * %d); set allow_large=T in [star] section to permit this."%(total_samples,self.nsample,len(self.pipeline.varied_params))) print() sample_points = [] start = self.pipeline.start_vector() for i,param in enumerate(self.pipeline.varied_params): for p in np.linspace(*param.limits, num=self.nsample): v = start.copy() v[i] = p sample_points.append(v) self.sample_points = iter(sample_points) def execute(self): #First run only: if self.sample_points is None: self.setup_sampling() #Chunk of tasks to do this run through, of size nstep. #This advances the self.sample_points forward so it knows #that these samples have been done samples = list(itertools.islice(self.sample_points, self.nstep)) #If there are no samples left then we are done. if not samples: self.converged=True return #Each job has an index number in case we are saving #the output results from each one sample_index = np.arange(len(samples)) + self.ndone jobs = list(zip(sample_index, samples)) #Actually compute the likelihood results if self.pool: results = self.pool.map(task, jobs) else: results = list(map(task, jobs)) #Update the count self.ndone += len(results) #Save the results of the sampling for sample, result in zip(samples, results): #Optionally save all the results calculated by each #pipeline run to files (post, prior, extra) = result #always save the usual text output self.output.parameters(sample, extra, prior, post) def is_converged(self): return self.converged

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joezuntz@googlemail.com

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forgetbear/B_PYTHON_GIS

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# bufferLoopRange.py # Purpose: Buffer a park varying buffer distances from 1 to 5 miles. import arcpy arcpy.env.workspace = 'C:/gispy/data/ch10' outDir = 'C:/gispy/scratch/' arcpy.env.overwriteOutput = True inName = 'park.shp' for num in range(1, 6): # Set the buffer distance based on num ('1 miles', '2 miles', ...). distance = '{0} miles'.format(num) # Set the output name based on num ('buffer1.shp', 'buffer2.shp', ...) outName = outDir + 'buffer{0}.shp'.format(num) arcpy.Buffer_analysis(inName, outName, distance) print '{0}{1} created.'.format(outDir, outName)

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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. """Graph search algorithms for exploration.""" import random # pylint: disable=g-import-not-at-top try: import queue except ImportError: import six.moves.queue as queue # pylint: enable=g-import-not-at-top def check_valid(graph, pos): y, x = pos y_max, x_max = graph.shape if ((0 <= y and y < y_max) and (0 <= x and x < x_max)) and (graph[pos] >= 0): return True else: return False def bfs_paths(graph, agent, goal, num_actions, maxlen): """Find paths from any start position to a goal position using BFS.""" path_queue = queue.Queue() path_queue.put((agent.pos, [])) while not path_queue.empty(): curr_pos, path = path_queue.get() if len(path) >= maxlen: continue for action in range(num_actions): agent.reset(curr_pos) agent.act(action) if check_valid(graph, agent.pos): new_path = path + [action] if agent.pos == goal: yield new_path else: path_queue.put((agent.pos, new_path)) def dfs_paths(graph, agent, goal, num_actions, maxlen): """"Find paths from any start position to a goal position using DFS.""" stack = [(agent.pos, [])] all_actions = list(range(num_actions)) while stack: curr_pos, path = stack.pop() if len(path) >= maxlen: continue random.shuffle(all_actions) for action in all_actions: agent.reset(curr_pos) agent.act(action) if check_valid(graph, agent.pos): new_path = path + [action] if agent.pos == goal: yield new_path else: stack.append((agent.pos, new_path))

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copybara-worker@google.com

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joliebig/featurehouse_fstmerge_examples

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2016-09-05T10:24:50.974902

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""" The base class for all iDevices """ import copy import logging from exe.engine.persist import Persistable from exe.engine.translate import lateTranslate log = logging.getLogger(__name__) class Idevice(Persistable): """ The base class for all iDevices iDevices are mini templates which the user uses to create content in the package """ nextId = 1 NoEmphasis, SomeEmphasis, StrongEmphasis = range(3) def __init__(self, title, author, purpose, tip, icon, parentNode=None): """Initialize a new iDevice, setting a unique id""" log.debug("Creating iDevice") self.edit = True self.lastIdevice = True self.emphasis = Idevice.NoEmphasis self.version = 0 self.id = unicode(Idevice.nextId) Idevice.nextId += 1 self.parentNode = parentNode self._title = title self._author = author self._purpose = purpose self._tip = tip self.icon = icon self.userResources = [] if self.icon: self.systemResources = ["icon_"+self.icon+".gif"] else: self.systemResources = [] def get_title(self): """ Gives a nicely encoded and translated title that can be put inside xul labels (eg. <label value="my "idevice"">) """ if self._title: title = _(self._title) title = title.replace('&', '&') title = title.replace('"', '"') return title else: return u'' def set_title(self, value): """ Sets self._title """ self._title = value title = property(get_title, set_title) rawTitle = lateTranslate('title') author = lateTranslate('author') purpose = lateTranslate('purpose') tip = lateTranslate('tip') def __cmp__(self, other): """ Compare this iDevice with other """ return cmp(self.id, other.id) def clone(self): """ Clone an iDevice just like this one """ log.debug("Cloning iDevice") newIdevice = copy.deepcopy(self) newIdevice.id = unicode(Idevice.nextId) Idevice.nextId += 1 return newIdevice def delete(self): """ delete an iDevice from it's parentNode """ while self.userResources: self.userResources[0].delete() if self.parentNode: self.parentNode.idevices.remove(self) self.parentNode = None def isFirst(self): """ Return true if this is the first iDevice in this node """ index = self.parentNode.idevices.index(self) return index == 0 def isLast(self): """ Return true if this is the last iDevice in this node """ index = self.parentNode.idevices.index(self) return index == len(self.parentNode.idevices) - 1 def movePrev(self): """ Move to the previous position """ parentNode = self.parentNode index = parentNode.idevices.index(self) if index > 0: temp = parentNode.idevices[index - 1] parentNode.idevices[index - 1] = self parentNode.idevices[index] = temp def moveNext(self): """ Move to the next position """ parentNode = self.parentNode index = parentNode.idevices.index(self) if index < len(parentNode.idevices) - 1: temp = parentNode.idevices[index + 1] parentNode.idevices[index + 1] = self parentNode.idevices[index] = temp def setParentNode(self, parentNode): """ Change parentNode """ if self.parentNode: self.parentNode.idevices.remove(self) parentNode.addIdevice(self) def onResourceNamesChanged(self, resourceNamesChanged): """ Called when the iDevice's resources need their names changed Overridden by derieved classes """ pass def _upgradeIdeviceToVersion1(self): """ Upgrades the Idevice class members from version 0 to version 1. Should be called in derived classes. """ log.debug("upgrading to version 1") self._title = self.__dict__.get('title', self.title) self._author = self.__dict__.get('author', self.title) self._purpose = self.__dict__.get('purpose', self.title) self._tip = self.__dict__.get('tip', self.title) def _upgradeIdeviceToVersion2(self): """ Upgrades the Idevice class members from version 1 to version 2. Should be called in derived classes. """ log.debug("upgrading to version 2, for 0.12") self.userResources = [] if self.icon: self.systemResources = ["icon_"+self.icon+".gif"] else: self.systemResources = []

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- import sys import random import math import pygame pygame.init() size = width, height = 640, 480 center = offset_x, offset_y = width // 2, height // 2 zoom = 20 screen = pygame.display.set_mode(size) # Colores black = (0, 0 , 0) white = (255, 255, 255) red = (255, 0, 0) green = (0, 255, 0) blue = (51, 102, 255) yellow = (255, 255, 0) silver = (102, 102, 102) def random_color(): return pygame.Color( random.randint(0, 255), random.randint(0, 255), random.randint(0, 255), 255, ) class Point: def __init__(self, x=0, y=0, color=white): self.x = x self.y = y self.color = color def scale(self): x, y = self.x, self.y x = offset_x + x*zoom y = offset_y - y*zoom return int(round(x)), int(round(y)) def move(self): self.x += random.random() / 20.0 - 0.025 self.y += random.random() / 20.0 - 0.025 return self def distance(self, x, y): return (self.x - x)**2 + (self.y - y)**2 def __repr__(self): name = self.__class__.__name__ return '{}(x={}, y={}, color={})'.format( name, self.x, self.y, self.color ) def draw(self, canvas): x, y = self.scale() canvas.set_at((x, y), self.color) # The point itself canvas.set_at((x-1, y), self.color) # cross canvas.set_at((x+1, y), self.color) canvas.set_at((x, y-1), self.color) canvas.set_at((x, y+1), self.color) @classmethod def random(self): x = random.randint(0, width) y = random.randint(0, width) color = random_color() return Point(x, y, color) class Triangle(Point): def draw(self, canvas): x, y = self.scale() vertices = [ (x-4, y+4), (x, y-4), (x+4, y+4) ] pygame.draw.polygon(canvas, self.color, vertices, 0) class Circle(Point): def draw(self, canvas): x, y = self.scale() pygame.draw.circle(canvas, self.color, (x,y), 6, 0) class Square(Point): def draw(self, canvas): x, y = self.scale() pygame.draw.rect(canvas, self.color, (x-4, y-4, 9, 9)) points = [ Circle(3, 4, red), Circle(5, -3, green), Circle(-2, 5, blue), Circle(-4, 2, yellow), Square(2, -2, red), Square(-1, -5, green), Square(-3, -2, blue), Square(4, 0, yellow), Triangle(-5, 0, red), Triangle(0, 6, green), Triangle(0, -3, blue), Triangle(0, 0, yellow), ] def draw_axis(screen): pygame.draw.line(screen, silver, (0, offset_y), (width, offset_y)) for step in range(0, width, zoom): pygame.draw.line(screen, silver, (step, offset_y-2), (step, offset_y+2) ) for step in range(0, height, zoom): pygame.draw.line(screen, silver, (offset_x-2, step), (offset_x+2, step) ) pygame.draw.line(screen, silver, (offset_x, 0), (offset_x, height)) while True: for event in pygame.event.get(): if event.type == pygame.QUIT: sys.exit(0) if event.type == pygame.MOUSEBUTTONUP: x, y = pygame.mouse.get_pos() x = int(round((x - offset_x) / zoom)) y = -int(round((y - offset_y) / zoom)) print(x, y) Shape = random.choice([Square, Triangle, Circle]) points.append(Shape(x, y, random_color())) screen.fill(black) draw_axis(screen) for p in points: p.move() p.draw(screen) pygame.display.flip()

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from flask_wtf import FlaskForm from wtforms import StringField, IntegerField, SubmitField class AddForm(FlaskForm): name = StringField('Name of Owner:') pup_id = IntegerField("Id of Puppy: ") submit = SubmitField('Add Owner')

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sndp1811@gmail.com

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404232077/python-course

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for i in range(1,6): if i == 3: continue print(i) i = 0 while (i<5): i += 1 if i == 3: continue print(i)

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# Colors used for the regions in the signal where event occur red = (255, 0, 0, 10) p300_red = (255, 0, 0, 255) pale_red = (255, 0, 0, 35) green = (0, 255, 0, 45) p300_green = (0, 255, 0, 255) p300_white = (255, 255, 255, 255) blue = (0, 0, 255, 10) yellow = (255, 255, 0, 45) purple = (146, 56, 219, 45) dark_grey = (3, 3, 3) pen_colors = ['r', 'y', 'g', 'c', 'b', 'm', (100, 100, 100), 'w', 'k', (100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100), (100, 100, 100)] button_colors = ['red', 'yellow', 'green', 'cyan', 'blue', 'magenta', 'grey', 'white', 'red', 'yellow', 'green', 'cyan', 'blue', 'magenta', 'grey', 'white', 'red', 'yellow', 'green', 'cyan', 'blue', 'magenta', 'grey', 'white'] # TODO: ALEXM: Generate colors from pyqt instead # 58 167 215 dark_blue = 'rgba(0, 0, 80, 0.4)' # Polycortex Color # lighter blue # dark_blue_tab = 'rgba(70, 175, 230, 1)' dark_blue_tab = 'rgba(60, 160, 210, 1)' # slightly Darker # dark_blue_tab = 'rgba(30, 130, 170, 1)' # Really Darker # dark_blue_tab = 'rgba(18, 90, 140, 1)' # old # dark_blue = 'rgba(0, 0, 80, 0.4)' # dark_blue_tab = 'rgba(62, 62, 160, 1)' grey = 'rgba(100, 100, 100, 0.5)' light_grey = 'rgba(130, 130, 130, 0.7)' grey2 = 'rgba(160, 160, 160, 0.5)' grey3 = 'rgba(200, 200, 200, 0.6' label_grey = 'rgba(215, 215, 215, 0.7)' green_b = 'rgba(0, 100, 0, 0.5)' red_b = 'rgba(100, 0, 0, 0.5)' blue_b = 'rgba(0, 0, 170, 0.5)' white = 'rgba(255, 255, 255, 1)' black = 'rgba(0, 0, 0, 0.5)' DARK_GREY = '#585858' # hexa LIGHT_GREY = '#C8C8C8' blue_plane='rgba(0, 0, 255, 0.4)' green_plane='rgba(0, 255, 0, 0.7)' red_plane='rgba(255, 0, 0, 0.4)'

[ "alexandre.marcotte.1094@gmail.com" ]

alexandre.marcotte.1094@gmail.com

ae5550ca8397473eab8016c7442730089e83b4c7

65dce36be9eb2078def7434455bdb41e4fc37394

/66 Plus One.py

6576b5adcd01a259a42b93a3c4bea3c281e1c33e

[]

no_license

EvianTan/Lintcode-Leetcode

9cf2d2f6a85c0a494382b9c347bcdb4ee0b5d21a

d12dd31e98c2bf24acc20c5634adfa950e68bd97

refs/heads/master

2021-01-22T08:13:55.758825

2017-10-20T21:46:23

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Python

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py

''' Given a non-negative integer represented as a non-empty array of digits, plus one to the integer. You may assume the integer do not contain any leading zero, except the number 0 itself. The digits are stored such that the most significant digit is at the head of the list. ''' class Solution(object): def plusOne(self, digits): """ :type digits: List[int] :rtype: List[int] """ hold = '' for i in digits: hold += str(i) res = str(int(hold)+1) return [int(i) for i in res]

[ "yiyun.tan@uconn.edu" ]

yiyun.tan@uconn.edu

30c81a894419eab115ec96db9261083590ebfc47

dae212cb615e5eba3fe8108799a39bc09d7bddb6

/leetcode/0114_flatten_binary_tree_to_linked_list.py

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[]

no_license

cs-cordero/interview-prep

a291b5ce2fb8461449e6e27a1f23e12b54223540

c3b5b4612f3641572d2237e36aa23019c680c799

refs/heads/master

2022-05-23T10:39:59.817378

2020-04-29T12:57:12

76,767,250

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py

from utils import Empty, TreeNode class Solution: def flatten(self, root: TreeNode) -> None: if not root: return if root.right and root.left: traverse_to_next(root.left).right = root.right if root.left: root.right = root.left root.left = None if root.right: self.flatten(root.right) def traverse_to_next(root: TreeNode) -> None: while True: while root.right: root = root.right if root.left: root = root.left else: return root root = TreeNode.from_array([1, 2, 5, 3, 4, Empty, 6]) expected = TreeNode(1) current = expected for i in range(2, 7): current.right = TreeNode(i) current = current.right Solution().flatten(root) assert TreeNode.subtrees_match(root, expected)

[ "ccordero@protonmail.com" ]

ccordero@protonmail.com

77d28f6918656e3e80ca82ecd1f0f0d266db8677

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/robotframework-ls/tests/robotframework_ls_tests/test_signature_help.py

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JohanMabille/robotframework-lsp

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refs/heads/master

2023-01-19T10:29:48.982578

2020-11-25T13:46:22

296,245,093

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NOASSERTION

2020-09-17T06:58:54

2020-09-17T06:58:53

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def test_signature_help_basic(workspace, libspec_manager, data_regression): from robotframework_ls.impl.completion_context import CompletionContext from robotframework_ls.impl.signature_help import signature_help workspace.set_root("case4", libspec_manager=libspec_manager) doc = workspace.get_doc("case4.robot") doc.source += """ *** Test Cases *** Log It Log """ completion_context = CompletionContext(doc, workspace=workspace.ws) result = signature_help(completion_context) signatures = result["signatures"] # Don't check the signature documentation in the data regression so that the # test doesn't become brittle. docs = signatures[0].pop("documentation") assert "Log" in docs data_regression.check(result)

[ "fabiofz@gmail.com" ]

fabiofz@gmail.com

d5e085cb5ff4e318e55a21d55d80d6291f46ef1a

5d06a33d3685a6f255194b13fd2e615e38d68850

/opytimark/markers/boolean.py

b94c6a3c83585ca07ebb257de8df8a53c75b5e43

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permissive

sarikoudis/opytimark

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2023-07-24T04:19:55.869169

2021-09-03T13:09:45

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"""Boolean-based benchmarking functions. """ import itertools as it import numpy as np import opytimark.utils.constants as c import opytimark.utils.decorator as d import opytimark.utils.exception as e from opytimark.core import Benchmark class Knapsack(Benchmark): """Knapsack class implements a boolean-based version of the Knapsack problem. .. math:: f(\mathbf{x}) = f(x_1, x_2, \ldots, x_n) = \min -{\sum_{i=1}^{n}v_i x_i} s.t. .. math:: \sum_{i=1}^{n}w_i x_i \leq b Domain: The function is evaluated using :math:`x_i \in \{0, 1\} \mid i = \{1, 2, \ldots, n\}`. """ def __init__(self, name='Knapsack', dims=-1, continuous=False, convex=False, differentiable=False, multimodal=False, separable=False, values=(0,), weights=(0,), max_capacity=0.0): """Initialization method. Args: name (str): Name of the function. dims (int): Number of allowed dimensions. continuous (bool): Whether the function is continuous. convex (bool): Whether the function is convex. differentiable (bool): Whether the function is differentiable. multimodal (bool): Whether the function is multimodal. separable (bool): Whether the function is separable. values (tuple): Tuple of items values. weights (tuple): Tuple of items weights. max_capacity: Maximum capacity of the knapsack. """ super(Knapsack, self).__init__(name, dims, continuous, convex, differentiable, multimodal, separable) if len(values) != len(weights): raise e.SizeError('`values` and `weights` needs to have the same size') # Items values self.values = values # Items weights self.weights = weights # Maximum capacity of the knapsack self.max_capacity = max_capacity # Re-writes the correct number of dimensions self.dims = len(values) @property def values(self): """tuple: values of items in the knapsack. """ return self._values @values.setter def values(self, values): if not isinstance(values, tuple): raise e.TypeError('`values` should be a tuple') self._values = values @property def weights(self): """tuple: Weights of items in the knapsack. """ return self._weights @weights.setter def weights(self, weights): if not isinstance(weights, tuple): raise e.TypeError('`weights` should be a tuple') self._weights = weights @property def max_capacity(self): """float: Maximum capacity of the knapsack. """ return self._max_capacity @max_capacity.setter def max_capacity(self, max_capacity): if not isinstance(max_capacity, (float, int)): raise e.TypeError('`max_capacity` should be a float or integer') if max_capacity < 0: raise e.ValueError('`max_capacity` should be >= 0') self._max_capacity = max_capacity @d.check_exact_dimension def __call__(self, x): """This method returns the function's output when the class is called. Args: x (np.array): An input array for calculating the function's output. Returns: The benchmarking function output `f(x)`. """ # Gathering an array of possible values v = np.array(list(it.compress(self.values, x))) # Gathering an array of possible weights w = np.array(list(it.compress(self.weights, x))) # If the sum of weights exceed the maximum capacity if np.sum(w) > self.max_capacity: # Returns the maximum number possible return c.FLOAT_MAX # Returns its negative sum as it is a minimization problem return -np.sum(v)

[ "gth.rosa@uol.com.br" ]

gth.rosa@uol.com.br

444a1bdc1e196a8d209a09c69e8e5c15df8aa12a

c0a49527d2d6bf56c04349bda832875625451a39

/project/apps/stats/urls.py

6b857438a50d724df7c3f12febe3c65ead52540e

[ "MIT" ]

permissive

mbi/chin-up

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refs/heads/master

2023-08-21T23:14:26.368231

2014-05-20T08:05:55

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from django.conf import settings from django.conf.urls import patterns, include, url from django.contrib import admin admin.autodiscover() urlpatterns = patterns( '', url(r'stats[/]$', 'stats.views.stats_view', name='stats'), )

[ "eric@ckcollab.com" ]

eric@ckcollab.com

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/moodledata/vpl_data/92/usersdata/250/37892/submittedfiles/atividade.py

d3db75de167513632efef98cec11cea616e0aa85

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

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py

# -*- coding: utf-8 -*- import math n=int(input('digite um vlor:')) i=1 contaor=0 while i<=n: if n>0: s=i/(n-1) contador=0 i=i+1 print('%.5f'%s)

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

rafael.mota@ufca.edu.br

ac27f07c1d4dcebea6d5af25abd002e5e717a87c

eaf4408fd01ced7acbee7bd72cbae386c6249842

/Projects/01-MidtermProject/tests/q1_14a.py

da8b80dab10b6f009f005d279943667830c30639

[]

no_license

ucsd-ets/dsc10-wi21

54176ac31bf5bed75ab33bb670f7aec6358fd886

9ffe29f5af2cc58b58a08c82943f91a17b90fe91

refs/heads/main

2023-03-21T04:32:42.873980

2021-03-13T02:59:59

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py

test = { 'name': 'q1_14a', 'points': 1, 'suites': [{'cases': [{'code': '>>> isinstance(weekday_pos_avg, float)\nTrue', 'hidden': False, 'locked': False}], 'scored': True, 'setup': '', 'teardown': '', 'type': 'doctest'}]}

[ "yal319@ucsd.edu" ]

yal319@ucsd.edu

d94fa9f50b45c677b965d5e716e5003ff19c3882

c05ed32f1ef7e1eb7d73efd674e7d1fd710ad171

/daily-coding-problems/problem231.py

9db45bfef6c22729c0abe839d101f948f9ed752e

[]

no_license

carlhinderer/python-exercises

c8367517fdf835fa1117f96dbfee3dccc596afa6

4e09bbb4c4e2bd5644ed50e997db9f3c289a18f7

refs/heads/master

2021-06-01T16:17:00.389134

2021-02-09T18:21:01

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0

null

2021-04-20T20:33:11

2018-09-29T21:03:36

Python

UTF-8

Python

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py

# Problem 231 # Easy # Asked by IBM # # Given a string with repeated characters, rearrange the string so that no two # adjacent characters are the same. If this is not possible, return None. # # For example, given "aaabbc", you could return "ababac". Given "aaab", return None. #

[ "carl.hinderer4@gmail.com" ]

carl.hinderer4@gmail.com

0e3cb13687bee190c90eda8bf825e45860f50c81

757705e98cc059b0ada491489660ac3bd6e49607

/udun/balrog/updates.py

49ddba3688bd32b4c19bca89934d0e2cbe18b651

[]

no_license

mozilla-services/udun-bridge

997ef4b83c0e33cab4a12ce25aef13843e279896

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refs/heads/master

2021-01-10T06:11:23.530733

2019-03-28T14:12:08

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4

null

2019-03-28T14:12:10

2015-10-19T15:08:04

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UTF-8

Python

false

801

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# tarek from # https://hg.mozilla.org/build/tools/file/default/lib/python/balrog/submitter/ # version 9f4e6a2eafa1 import jsonmerge def merge_partial_updates(base_obj, new_obj): """Merges 2 update objects, merging partials and replacing completes""" schema = { "properties": { # Merge partials using fileUrl as an identifier field "partials": { "mergeStrategy": "arrayMergeById", "mergeOptions": { "idRef": "from" } }, # Replace completes - we don't usually have more than one "completes": { "mergeStrategy": "overwrite" } } } merger = jsonmerge.Merger(schema=schema) return merger.merge(base_obj, new_obj)

[ "tarek@ziade.org" ]

tarek@ziade.org

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/Algorithm/baekjoon/2312_수복원하기.py

b65b63e92206cee06f30380b4dcfbacde3b509fd

[]

no_license

Hansung-Lee/TIL

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c24ebab8b631f5c1b835fdc8bd036acbebc8d187

refs/heads/master

2020-04-14T11:18:54.035863

2019-04-05T07:26:55

163,810,436

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null

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py

T = int(input()) for t in range(T): N = int(input()) li = [0] * (N-1) for i in range(len(li)): while not N%(i+2): N = N//(i+2) li[i] += 1 for i in range(len(li)): if li[i]: print (f"{i+2} {li[i]}")

[ "ajtwlsgkst@naver.com" ]

ajtwlsgkst@naver.com

4a5cf4b293ba338af36939e2ae54ccc79a1b1a16

f33364172d2408304fbc5064774d8a864f7c1478

/django_products/app/views_user.py

fee116c43f4275f85831dbcdcd6eb4f58ec3952e

[]

no_license

pytutorial/py2005E

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7765a2d812def499ab2a8eb7dff3ad3cdcd7716f

refs/heads/master

2022-12-09T23:09:26.657784

2020-09-11T13:38:05

284,680,078

0

null

UTF-8

Python

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2,841

py

from django.shortcuts import render, redirect from .models import * from .forms import OrderForm, SearchForm from datetime import datetime import math def getPriceRangeValue(priceRange): if str(priceRange) == '1': return None, 10 if str(priceRange) == '2': return 10, 20 if str(priceRange) == '3': return 20, None return None, None def searchProduct(data): name = data.get('name') categ = data.get('category') priceRange = data.get('priceRange') productList = Product.objects.all() if name: productList = productList.filter(name__contains=name) if categ: productList = productList.filter(category__id=categ) minPrice, maxPrice = getPriceRangeValue(priceRange) if minPrice: productList = productList.filter(price__gte=minPrice*1e6) if maxPrice: productList = productList.filter(price__lte=maxPrice*1e6) return productList def createQueryString(data): name = data.get('name', '') category = data.get('category', '') priceRange = data.get('priceRange', '') return f'/?name={name}&category={category}&priceRange={priceRange}' def index(request): PAGE_SIZE = 3 form = SearchForm(request.GET) productList = searchProduct(request.GET) page = int(request.GET.get('page', 1)) start = (page-1)*PAGE_SIZE end = page*PAGE_SIZE total = len(productList) num_page = math.ceil(total/PAGE_SIZE) context = { 'productList': productList[start:end], 'total': total, 'num_page': num_page, 'page': page, 'next_page': page + 1 if page < num_page else None, 'prev_page': page - 1 if page > 1 else None, 'form': form, 'query_str': createQueryString(request.GET), } return render(request, 'user/index.html', context) def viewProduct(request, pk): product = Product.objects.get(pk=pk) context = {'product': product} return render(request, 'user/view_product.html', context) def saveOrder(product, data): order = Order() order.product = product order.priceUnit = product.price order.qty = data['qty'] order.fullname = data['fullname'] order.phone = data['phone'] order.address = data['address'] order.orderDate = datetime.now() order.status = Order.OrderStatus.PENDING order.save() def orderProduct(request, pk): product = Product.objects.get(pk=pk) form = OrderForm(initial={'qty': 1}) if request.method == 'POST': form = OrderForm(request.POST) if form.is_valid(): saveOrder(product, form.cleaned_data) return redirect('/thank_you') context = {'product': product, 'form': form} return render(request,'user/order_product.html', context) def thankYou(request): return render(request, 'user/thank_you.html')

[ "duongthanhtungvn01@gmail.com" ]

duongthanhtungvn01@gmail.com

6bf10ed48864690d532c2218b82c770acc6a402c

9743d5fd24822f79c156ad112229e25adb9ed6f6

/xai/brain/wordbase/verbs/_subdivided.py

4577fabad755648b5b6de69c364b017a654052bb

[ "MIT" ]

permissive

cash2one/xai

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refs/heads/master

2021-01-19T12:33:54.964379

2017-01-28T02:00:50

null

0

null

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Python

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py

from xai.brain.wordbase.verbs._subdivide import _SUBDIVIDE #calss header class _SUBDIVIDED(_SUBDIVIDE, ): def __init__(self,): _SUBDIVIDE.__init__(self) self.name = "SUBDIVIDED" self.specie = 'verbs' self.basic = "subdivide" self.jsondata = {}

[ "xingwang1991@gmail.com" ]

xingwang1991@gmail.com

c8033a45df8ddb48b786a6272cfb49e950150c1a

6a8bc7da3104726f894ae360fce6a43a54b30812

/gradio/themes/app.py

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permissive

gradio-app/gradio

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refs/heads/main

2023-09-01T10:56:50.822550

2023-09-01T00:28:01

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2023-09-14T21:42:00

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5,249

py

import time import gradio as gr from gradio.themes.utils.theme_dropdown import create_theme_dropdown dropdown, js = create_theme_dropdown() with gr.Blocks(theme=gr.themes.Default()) as demo: with gr.Row().style(equal_height=True): with gr.Column(scale=10): gr.Markdown( """ # Theme preview: `{THEME}` To use this theme, set `theme='{AUTHOR}/{SPACE_NAME}'` in `gr.Blocks()` or `gr.Interface()`. You can append an `@` and a semantic version expression, e.g. @>=1.0.0,<2.0.0 to pin to a given version of this theme. """ ) with gr.Column(scale=3): with gr.Box(): dropdown.render() toggle_dark = gr.Button(value="Toggle Dark").style(full_width=True) dropdown.change(None, dropdown, None, _js=js) toggle_dark.click( None, _js=""" () => { document.body.classList.toggle('dark'); } """, ) name = gr.Textbox( label="Name", info="Full name, including middle name. No special characters.", placeholder="John Doe", value="John Doe", interactive=True, ) with gr.Row(): slider1 = gr.Slider(label="Slider 1") slider2 = gr.Slider(label="Slider 2") gr.CheckboxGroup(["A", "B", "C"], label="Checkbox Group") with gr.Row(): with gr.Column(variant="panel", scale=1): gr.Markdown("## Panel 1") radio = gr.Radio( ["A", "B", "C"], label="Radio", info="Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat.", ) drop = gr.Dropdown(["Option 1", "Option 2", "Option 3"], show_label=False) drop_2 = gr.Dropdown( ["Option A", "Option B", "Option C"], multiselect=True, value=["Option A"], label="Dropdown", interactive=True, ) check = gr.Checkbox(label="Go") with gr.Column(variant="panel", scale=2): img = gr.Image( "https://gradio-static-files.s3.us-west-2.amazonaws.com/header-image.jpg", label="Image", ).style(height=320) with gr.Row(): go_btn = gr.Button("Go", label="Primary Button", variant="primary") clear_btn = gr.Button( "Clear", label="Secondary Button", variant="secondary" ) def go(*args): time.sleep(3) return "https://gradio-static-files.s3.us-west-2.amazonaws.com/header-image.jpgjpg" go_btn.click(go, [radio, drop, drop_2, check, name], img, api_name="go") def clear(): time.sleep(0.2) return None clear_btn.click(clear, None, img) with gr.Row(): btn1 = gr.Button("Button 1").style(size="sm") btn2 = gr.UploadButton().style(size="sm") stop_btn = gr.Button("Stop", label="Stop Button", variant="stop").style( size="sm" ) with gr.Row(): gr.Dataframe(value=[[1, 2, 3], [4, 5, 6], [7, 8, 9]], label="Dataframe") gr.JSON( value={"a": 1, "b": 2, "c": {"test": "a", "test2": [1, 2, 3]}}, label="JSON" ) gr.Label(value={"cat": 0.7, "dog": 0.2, "fish": 0.1}) gr.File() with gr.Row(): gr.ColorPicker() gr.Video("https://gradio-static-files.s3.us-west-2.amazonaws.com/world.mp4") gr.Gallery( [ ( "https://gradio-static-files.s3.us-west-2.amazonaws.com/lion.jpg", "lion", ), ( "https://gradio-static-files.s3.us-west-2.amazonaws.com/logo.png", "logo", ), ( "https://gradio-static-files.s3.us-west-2.amazonaws.com/tower.jpg", "tower", ), ] ).style(height="200px", grid=2) with gr.Row(): with gr.Column(scale=2): chatbot = gr.Chatbot([("Hello", "Hi")], label="Chatbot") chat_btn = gr.Button("Add messages") def chat(history): time.sleep(2) yield [["How are you?", "I am good."]] chat_btn.click( lambda history: history + [["How are you?", "I am good."]] + (time.sleep(2) or []), chatbot, chatbot, ) with gr.Column(scale=1): with gr.Accordion("Advanced Settings"): gr.Markdown("Hello") gr.Number(label="Chatbot control 1") gr.Number(label="Chatbot control 2") gr.Number(label="Chatbot control 3") if __name__ == "__main__": demo.queue().launch()

[ "noreply@github.com" ]

gradio-app.noreply@github.com

c6bbd6594ae99077c6c3adcd262581a0fa470645

ecad2803537295a24fe8274f99dfb85ead3a7191

/debian/tmp/usr/lib/python2.7/dist-packages/nova/api/openstack/compute/ips.py

6ad888fd720bc78a4e2aa588ff7eaa17984c7526

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

permissive

bopopescu/stacklab-nova

98400585ec3b4e3e94269dcb41578fffe7e2c8c1

4ab1698659b663ef222255610d1a5c042706dd65

refs/heads/master

2022-11-20T12:07:18.250829

2012-12-13T04:43:00

282,166,345

0

Apache-2.0

2020-07-24T08:31:57

2020-07-24T08:31:56

null

UTF-8

Python

false

3,472

py

# vim: tabstop=4 shiftwidth=4 softtabstop=4 # Copyright 2011 OpenStack LLC. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from webob import exc import nova from nova.api.openstack import common from nova.api.openstack.compute.views import addresses as view_addresses from nova.api.openstack import wsgi from nova.api.openstack import xmlutil from nova import flags from nova.openstack.common import log as logging LOG = logging.getLogger(__name__) FLAGS = flags.FLAGS def make_network(elem): elem.set('id', 0) ip = xmlutil.SubTemplateElement(elem, 'ip', selector=1) ip.set('version') ip.set('addr') network_nsmap = {None: xmlutil.XMLNS_V11} class NetworkTemplate(xmlutil.TemplateBuilder): def construct(self): sel = xmlutil.Selector(xmlutil.get_items, 0) root = xmlutil.TemplateElement('network', selector=sel) make_network(root) return xmlutil.MasterTemplate(root, 1, nsmap=network_nsmap) class AddressesTemplate(xmlutil.TemplateBuilder): def construct(self): root = xmlutil.TemplateElement('addresses', selector='addresses') elem = xmlutil.SubTemplateElement(root, 'network', selector=xmlutil.get_items) make_network(elem) return xmlutil.MasterTemplate(root, 1, nsmap=network_nsmap) class Controller(wsgi.Controller): """The servers addresses API controller for the OpenStack API.""" _view_builder_class = view_addresses.ViewBuilder def __init__(self, **kwargs): super(Controller, self).__init__(**kwargs) self._compute_api = nova.compute.API() def _get_instance(self, context, server_id): try: instance = self._compute_api.get(context, server_id) except nova.exception.NotFound: msg = _("Instance does not exist") raise exc.HTTPNotFound(explanation=msg) return instance def create(self, req, server_id, body): raise exc.HTTPNotImplemented() def delete(self, req, server_id, id): raise exc.HTTPNotImplemented() @wsgi.serializers(xml=AddressesTemplate) def index(self, req, server_id): context = req.environ["nova.context"] instance = self._get_instance(context, server_id) networks = common.get_networks_for_instance(context, instance) return self._view_builder.index(networks) @wsgi.serializers(xml=NetworkTemplate) def show(self, req, server_id, id): context = req.environ["nova.context"] instance = self._get_instance(context, server_id) networks = common.get_networks_for_instance(context, instance) if id not in networks: msg = _("Instance is not a member of specified network") raise exc.HTTPNotFound(explanation=msg) return self._view_builder.show(networks[id], id) def create_resource(): return wsgi.Resource(Controller())

[ "yuanotes@gmail.com" ]

yuanotes@gmail.com

5cafe1b409dddcffba908a42582d4795944108ff

74ab22a81ac24e6e13335b6873674de180b14c26

/search/search_dictionary.py

1a8acef12ca20267c97848bf4832af217fc04276

[]

no_license

attiakihal/MazeSolver

e92d39c62a582b564bfb437c8dde06754407c626

f737b3f4236884a70df0e35977704fe0d2836292

refs/heads/master

2022-04-22T22:30:40.153668

2019-12-08T00:56:42

null

0

null

UTF-8

Python

false

399

py

from search.a_star_euclidean import a_star_euclidean from search.a_star_manhattan import a_star_manhattan from search.bidirectional_bfs import bidirectional_bfs from search.bfs import bfs from search.dfs import dfs search_dictionary = { "a_star_euclidean": a_star_euclidean, "a_star_manhattan": a_star_manhattan, "dfs": dfs, "bfs": bfs, "bidirectional_bfs": bidirectional_bfs }

[ "jonathan@Jonathans-MacBook-Pro.local" ]

jonathan@Jonathans-MacBook-Pro.local

e5fae4b360e137a154ade338c6c6deca8b1e06e0

d4157df22a19225b23e52476e00d854409b1f43c

/LogisticRegression/Regularized/CostReg.py

3709d94c0be8f818e14101053f38ab8635f9bd3e

[]

no_license

shan18/Solutions-to-Machine-Learning-by-Andrew-Ng

fc4f3cd49b807ef9ce91586a4de027aa1520b04f

bcdd3a34da925944c5e03ebcf3b2c6998f731c87

refs/heads/master

2020-12-02T21:25:05.049786

2017-10-01T11:19:34

96,312,993

0

null

UTF-8

Python

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432

py

import numpy as np from LogisticRegression.Sigmoid import sigmoid def cost_reg(theta, X, y, learning_rate): theta = np.matrix(theta) X = np.matrix(X) y = np.matrix(y) first = np.multiply(-y, np.log(sigmoid(X * theta.T))) second = np.multiply(1 - y, np.log(1 - sigmoid(X * theta.T))) reg = (learning_rate / (2 * len(X))) * np.sum(np.power(theta[:, 1:], 2)) return np.sum(first - second) / len(X) + reg

[ "thegeek.004@gmail.com" ]

thegeek.004@gmail.com

2e523a5434e9acf6c16fdb2354db39bc2eda42dc

37a3c2ae904998a10ad6ec9f3cd715cdda718b21

/pythonforandroid/recipes/opencv/__init__.py

7e70162ea315ee1144d82eb1fb473565ecba8c89

[ "Python-2.0", "MIT" ]

permissive

agilewalker/python-for-android

311a97422545b5861baaeeb9c52ee7f53959acb8

a2fb5ecbc09c4847adbcfd03c6b1ca62b3d09b8d

refs/heads/master

2021-09-14T07:14:02.044913

2017-12-12T08:13:23

2018-01-04T12:54:31

113,962,045

1

2

MIT

2018-05-09T11:29:50

2017-12-12T08:11:25

Python

UTF-8

Python

false

2,228

py

import os import sh from pythonforandroid.toolchain import ( NDKRecipe, Recipe, current_directory, info, shprint, ) from multiprocessing import cpu_count class OpenCVRecipe(NDKRecipe): version = '2.4.10.1' url = 'https://github.com/Itseez/opencv/archive/{version}.zip' #md5sum = '2ddfa98e867e6611254040df841186dc' depends = ['numpy'] patches = ['patches/p4a_build-2.4.10.1.patch'] generated_libraries = ['cv2.so'] def prebuild_arch(self, arch): self.apply_patches(arch) def get_recipe_env(self,arch): env = super(OpenCVRecipe, self).get_recipe_env(arch) env['PYTHON_ROOT'] = self.ctx.get_python_install_dir() env['ANDROID_NDK'] = self.ctx.ndk_dir env['ANDROID_SDK'] = self.ctx.sdk_dir env['SITEPACKAGES_PATH'] = self.ctx.get_site_packages_dir() return env def build_arch(self, arch): with current_directory(self.get_build_dir(arch.arch)): env = self.get_recipe_env(arch) cvsrc = self.get_build_dir(arch.arch) lib_dir = os.path.join(self.ctx.get_python_install_dir(), "lib") shprint(sh.cmake, '-DP4A=ON','-DANDROID_ABI={}'.format(arch.arch), '-DCMAKE_TOOLCHAIN_FILE={}/platforms/android/android.toolchain.cmake'.format(cvsrc), '-DPYTHON_INCLUDE_PATH={}/include/python2.7'.format(env['PYTHON_ROOT']), '-DPYTHON_LIBRARY={}/lib/libpython2.7.so'.format(env['PYTHON_ROOT']), '-DPYTHON_NUMPY_INCLUDE_DIR={}/numpy/core/include'.format(env['SITEPACKAGES_PATH']), '-DANDROID_EXECUTABLE={}/tools/android'.format(env['ANDROID_SDK']), '-DBUILD_TESTS=OFF', '-DBUILD_PERF_TESTS=OFF', '-DBUILD_EXAMPLES=OFF', '-DBUILD_ANDROID_EXAMPLES=OFF', '-DPYTHON_PACKAGES_PATH={}'.format(env['SITEPACKAGES_PATH']), cvsrc, _env=env) shprint(sh.make,'-j',str(cpu_count()),'opencv_python') shprint(sh.cmake,'-DCOMPONENT=python','-P','./cmake_install.cmake') sh.cp('-a',sh.glob('./lib/{}/lib*.so'.format(arch.arch)),lib_dir) recipe = OpenCVRecipe()

[ "frmdstryr@gmail.com" ]

frmdstryr@gmail.com

45b1b8c35f3cf8c84f1fe49e5ff6aa9be0228989

6ab67facf12280fedf7cc47c61ae91da0bcf7339

/service/yowsup/yowsup/demos/echoclient/layer.py

df0d73c7ce854b213f893a6fb7a43a51cb2d7fde

[ "MIT", "GPL-3.0-only", "GPL-3.0-or-later" ]

permissive

PuneethReddyHC/whatsapp-rest-webservice

2f035a08a506431c40b9ff0f333953b855f9c461

822dfc46b80e7a26eb553e5a10e723dda5a9f77d

refs/heads/master

2022-09-17T14:31:17.273339

2017-11-27T11:16:43

278,612,537

0

1

MIT

2020-07-10T11:04:42

2020-07-10T11:04:41

null

UTF-8

Python

false

1,646

py

from yowsup.layers.interface import YowInterfaceLayer, ProtocolEntityCallback class EchoLayer(YowInterfaceLayer): @ProtocolEntityCallback("message") def onMessage(self, messageProtocolEntity): if messageProtocolEntity.getType() == 'text': self.onTextMessage(messageProtocolEntity) elif messageProtocolEntity.getType() == 'media': self.onMediaMessage(messageProtocolEntity) self.toLower(messageProtocolEntity.forward(messageProtocolEntity.getFrom())) self.toLower(messageProtocolEntity.ack()) self.toLower(messageProtocolEntity.ack(True)) @ProtocolEntityCallback("receipt") def onReceipt(self, entity): self.toLower(entity.ack()) def onTextMessage(self,messageProtocolEntity): # just print info print("Echoing %s to %s" % (messageProtocolEntity.getBody(), messageProtocolEntity.getFrom(False))) def onMediaMessage(self, messageProtocolEntity): # just print info if messageProtocolEntity.getMediaType() == "image": print("Echoing image %s to %s" % (messageProtocolEntity.url, messageProtocolEntity.getFrom(False))) elif messageProtocolEntity.getMediaType() == "location": print("Echoing location (%s, %s) to %s" % (messageProtocolEntity.getLatitude(), messageProtocolEntity.getLongitude(), messageProtocolEntity.getFrom(False))) elif messageProtocolEntity.getMediaType() == "vcard": print("Echoing vcard (%s, %s) to %s" % (messageProtocolEntity.getName(), messageProtocolEntity.getCardData(), messageProtocolEntity.getFrom(False)))

[ "svub@x900.svub.net" ]

svub@x900.svub.net

6d669d90ebcebb6b738d3b848a30cd772f7906d8

9e335834e7be81068f001d5451781d5c1530ebbf

/CorePython/chapter15/my_card.py

9a24af345fd158da0a3259cb26a492e7278bfb39

[]

no_license

jtr109/SelfLearning

c1dbffa5485d0cd2f444ea510da62a8e3d269dbc

cc920ed507647762b9855385be76869adac89e7c

refs/heads/master

2020-04-06T04:11:31.143688

2016-07-22T02:19:39

58,049,867

0

null

UTF-8

Python

false

1,058

py

# !/usr/bin/python # -*- coding: utf-8 -*- import re def is_legal(data): patt = '(\d{15,16})|(\d{4}-\d{6}-\d{5})|(\d{4}(-\d{4}){3})' try: for i in range(1, 4): if re.match(patt, data).group(i): pd = purify(data, i) return legal_card(pd) except AttributeError: return False def purify(data, i): pn = '' if i == 1: pn = data else: l = data.split('-') for n in l: pn += n pd = [] for a in pn: for b in a: pd.append(b) return pd def legal_card(pd): pd.reverse() ns = 0 w = 1 for d in pd: if w % 2 == 1: d = int(d) else: d = 2 * int(d) if d > 9: d -= 9 ns += d w += 1 return ns % 10 == 0 if __name__ == '__main__': card_number = raw_input('Your card number is:\n> ') if is_legal(card_number): print 'It is a legal number!' else: print 'Shit! It is an illegal number!!!'

[ "lyp_login@outlook.com" ]

lyp_login@outlook.com

5c28d0b822397cf4e9ac5940634bfe9334e9babc

f2cc45e46a55c09570574eeaf358919491b4fae9

/作业/7石头剪刀布.py

e48814caaf4f0f0203e12107fa0f806dc29be394

[]

no_license

2099454967/python_wang

f4f5e10891ed9be6112f8f3d0d6313975e2f914f

c9dd8a5f6a9864d2a3e61bad9a12cea566ebdec9

refs/heads/master

2020-03-11T17:43:43.288920

2018-04-24T05:27:53

130,155,541

0

null

UTF-8

Python

false

260

py

#1---石头 #2---剪刀 #3---布 import random a = random.randint(1,3) b = int(input('请输入1---石头 2---剪刀 3---布')) if (a==1 and b==2) or (a==2 and b==3) or (a==3 and b==1): print('玩家赢') elif a==b: print('平局') else: print('电脑赢')

[ "2099454967@qq.com" ]

2099454967@qq.com

3388e852acf0ee62545acf09ca024839f5401c63

67c0d7351c145d756b2a49e048500ff361f7add6

/xpresso/ai/admin/infra/packages/ubuntu/utility/docker_distribution_package.py

81af3bf83624d6377f690deef24079eac561889b

[]

no_license

Krishnaarunangsu/XpressoDataHandling

ba339ae85b52e30715f47406ddb74966350848aa

0637a465088b468d6fdb6d1bb6f7b087547cec56

refs/heads/master

2020-06-27T19:58:43.358340

2019-08-29T16:59:08

200,035,926

0

null

UTF-8

Python

false

4,425

py

"""Abstract base class for packages object""" __all__ = ['DockerDistributionPackage'] __author__ = 'Naveen Sinha' import os import shutil from xpresso.ai.admin.infra.packages.abstract_package import AbstractPackage from xpresso.ai.admin.infra.packages.local_shell_executor import \ LocalShellExecutor from xpresso.ai.core.utils.xpr_config_parser import XprConfigParser from xpresso.ai.admin.controller.exceptions.xpr_exceptions import\ PackageFailedException class DockerDistributionPackage(AbstractPackage): """ Installs Docker Distribution Services. It installs open source Harbor project to manage the docker registry. This installs the Harbor project only. """ CONFIG_SECTION = "docker_distribution" HARBOR_CFG_FILE = "harbor_cfg_file" HARBOR_COMPOSE_FILE = "harbor_compose_file" HARBOR_TMP_FOLDER = "harbor_folder" def __init__(self, config_path=XprConfigParser.DEFAULT_CONFIG_PATH, executor=None): if not executor: executor = LocalShellExecutor() super().__init__(executor) self.config = XprConfigParser(config_path)["packages_setup"] def status(self, **kwargs): """ Checks the status of existing running application Returns: True, if setup is successful. False Otherwise Raises: PackageFailedException """ docker_name_list = ["nginx", "harbor-portal", "harbor-jobservice", "harbor-core", "harbor-adminserver", "", "registry", "registryctl", "harbor-persistence", "redis", "harbor-log"] (_, output, _) = self.execute_command_with_output( "docker inspect -f '{{.State.Running}}' {}".format( ' '.join(docker_name_list) ) ) if 'false' in output: return False return True def install(self, **kwargs): """ Sets up docker distribution in a VM Returns: True, if setup is successful. False Otherwise Raises: PackageFailedException """ current_directory = os.getcwd() harbor_folder = self.config[self.CONFIG_SECTION][self.HARBOR_TMP_FOLDER] try: if not os.path.exists(harbor_folder): os.makedirs(harbor_folder) except OSError: self.logger.error("Can not create directory") raise PackageFailedException("Harbor temp folder can't be created") self.execute_command( "wget https://storage.googleapis.com/harbor-releases/" "release-1.7.0/harbor-online-installer-v1.7.5.tgz -O " "{}/harbor.tgz".format(harbor_folder)) os.chdir(harbor_folder) self.execute_command("tar xvf harbor.tgz".format()) extracted_folder = os.path.join(harbor_folder, "harbor") try: os.chdir(extracted_folder) except OSError: self.logger.error("Harbor Folder not found") raise PackageFailedException("Harbor Folder not found") os.chdir(current_directory) shutil.copy(self.config[self.CONFIG_SECTION][self.HARBOR_CFG_FILE], extracted_folder) shutil.copy(self.config[self.CONFIG_SECTION][self.HARBOR_COMPOSE_FILE], extracted_folder) os.chdir(extracted_folder) self.execute_command("/bin/bash install.sh") os.chdir(current_directory) return True def uninstall(self, **kwargs): """ Remove docker distribution Returns: True, if setup is successful. False Otherwise Raises: PackageFailedException """ """ cd $PWD/config/harbor docker-compose up -d """ harbor_tmp_dir = self.config[self.CONFIG_SECTION][ self.HARBOR_TMP_FOLDER] harbor_dir = os.path.join(harbor_tmp_dir, "harbor") try: os.chdir(harbor_dir) except OSError: self.logger("{} not found.".format(harbor_dir)) raise PackageFailedException( "{} not found. Required for stopping".format(harbor_dir)) self.execute_command("/usr/local/bin/docker-compose up -d") return True def start(self, **kwargs): return self.install() def stop(self, **kwargs): return self.uninstall()

[ "arunangsutech@gmail.com" ]

arunangsutech@gmail.com

2bfdde0bcb495db0d4fffb4b7621471a705ddae0

de24f83a5e3768a2638ebcf13cbe717e75740168

/moodledata/vpl_data/138/usersdata/210/47892/submittedfiles/volumeTV.py

d81c84c26ad1a6f289f01b721bd8d351fc33d0df

[]

no_license

rafaelperazzo/programacao-web

95643423a35c44613b0f64bed05bd34780fe2436

170dd5440afb9ee68a973f3de13a99aa4c735d79

refs/heads/master

2021-01-12T14:06:25.773146

2017-12-22T16:05:45

69,566,344

0

null

UTF-8

Python

false

276

py

e=int(input('digite e:')) f=int(input('digite f:')) cont=e for i in range(1,f+1,1): a=int(input('digite alteração:')) if (cont+a)<=100 and cont>=0: cont=cont+a elif (cont+a)>=100: e=cont-100 cont=cont-e

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

rafael.mota@ufca.edu.br

d18fe269d04f86552cec9fbf8aa058fd36933eb2

4421cdef9d23204d392726db4e3886b8aec3072d

/Django/SDD/HEHE/migrations/0005_auto_20200913_1127.py

058d909ce14f025e64ab9d7d4d3d2cb91ca114cb

[]

no_license

Sanketdave12/PRACTICE

f38b8eae569ee670db55610202ef6f3e60fade87

0f71359cf5326be73b3d9d4b1219bea4832cc194

refs/heads/master

2022-12-27T08:08:45.953842

2020-09-18T17:31:23

296,587,205

0

null

UTF-8

Python

false

391

py

# Generated by Django 3.1.1 on 2020-09-13 05:57 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('HEHE', '0004_delete_profile'), ] operations = [ migrations.RemoveField( model_name='notice', name='branch', ), migrations.DeleteModel( name='Branch', ), ]

[ "sddave1998@gmail.com" ]

sddave1998@gmail.com

df748b62727262acccea6b2dec74421a653c6b2d

fae5487c5e50d0f42cd4fc82011c67df17b424c0

/generatorify.py

ced38a537b4f15b00af87cc145d7e2ebb0febbc2

[ "MIT" ]

permissive

eric-wieser/generatorify

b970dbda12f7e3dca481b29647a685294dc370c9

7bd759ecf88f836ece6cdbcf7ce1074260c0c5ef

refs/heads/master

2020-06-25T05:37:03.755586

2019-07-28T07:03:47

199,217,917

1

0

null

UTF-8

Python

false

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import queue import threading import collections.abc class generator_from_callback(collections.abc.Generator): """ A generator wrapper for a function that invokes a callback multiple times. Calling `send` on the generator emits a value from one callback, and returns the next. Note this starts a background thread """ def __init__(self, func): self._ready_queue = queue.Queue(1) self._done_queue = queue.Queue(1) self._done_holder = [False] # local to avoid reference cycles ready_queue = self._ready_queue done_queue = self._done_queue done_holder = self._done_holder def callback(value): done_queue.put((False, value)) cmd, val = ready_queue.get() if cmd == 'send': return val elif cmd == 'throw': raise val else: assert False # pragma: no cover def thread_func(): while True: cmd, val = ready_queue.get() if cmd == 'send' and val is not None: done_queue.put((True, TypeError("can't send non-None value to a just-started generator"))) continue break try: if cmd == 'throw': raise val ret = func(callback) raise StopIteration(ret) if ret is not None else StopIteration except BaseException as e: done_holder[0] = True done_queue.put((True, e)) self._thread = threading.Thread(target=thread_func) self._thread.start() def _put(self, *args): if self._done_holder[0]: raise StopIteration self._ready_queue.put(args) is_exception, val = self._done_queue.get() if is_exception: try: raise val finally: # prevent val's traceback containing a reference cycle del val else: return val def send(self, value): return self._put('send', value) def throw(self, exc): return self._put('throw', exc) def __next__(self): return self.send(None) def close(self): try: self.throw(GeneratorExit) except StopIteration: self._thread.join() except GeneratorExit: self._thread.join() except BaseException: self._thread.join() raise else: # yielded again, can't clean up the thread raise RuntimeError('Task with callback ignored GeneratorExit') def __del__(self): self.close() class callback_from_generator(collections.abc.Callable): """ Wraps a generator function into a function that emits items via callbacks instead """ def __init__(self, generator_func): self._generator_func = generator_func def __call__(self, callback): g = self._generator_func() try: try: from_g = next(g) except StopIteration as si: return si.value # other exceptions propagate while True: try: v_from_c = callback(from_g) except BaseException as e_from_c: try: from_g = g.throw(e_from_c) except StopIteration as si: return si.value else: try: from_g = g.send(v_from_c) except StopIteration as si: return si.value finally: g.close()

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wieser.eric@gmail.com

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/undermythumb/files.py

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GunioRobot/django-undermythumb

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from django.db.models.fields.files import ImageFieldFile __all__ = ['ThumbnailFieldFile', 'ImageWithThumbnailsFieldFile'] class ThumbnailSet(object): def __init__(self, field_file): self.file = field_file self.field = self.file.field self.instance = self.file.instance self._cache = {} self._populate() def _populate(self): if not self._cache and self.file.name and self.instance.id: for options in self.field.thumbnails: try: attname, renderer, key = options except ValueError: attname, renderer = options key = attname ext = '.%s' % renderer.format name = self.field.get_thumbnail_filename( instance=self.instance, original=self.file, key=key, ext=ext) thumbnail = ThumbnailFieldFile( attname, renderer, self.instance, self.field, name) self._cache[attname] = thumbnail def clear_cache(self): self._cache = {} def __getattr__(self, name): try: return self._cache[name] except KeyError: return None def __iter__(self): self._populate() for attname, value in self._cache.iteritems(): yield value class ThumbnailFieldFile(ImageFieldFile): def __init__(self, attname, renderer, *args, **kwargs): self.attname = attname self.renderer = renderer super(ThumbnailFieldFile, self).__init__(*args, **kwargs) def save(self): raise NotImplemented('Thumbnails cannot be saved directly.') class ImageWithThumbnailsFieldFile(ImageFieldFile): """File container for an ``ImageWithThumbnailsField``. """ def __init__(self, *args, **kwargs): super(ImageWithThumbnailsFieldFile, self).__init__(*args, **kwargs) self.thumbnails = ThumbnailSet(self) def save(self, name, content, save=True): """Save the original image, and its thumbnails. """ super(ImageWithThumbnailsFieldFile, self).save(name, content, save) self.thumbnails.clear_cache() # iterate over thumbnail for thumbnail in self.thumbnails: rendered = thumbnail.renderer.generate(content) self.field.storage.save(thumbnail.name, rendered)

[ "mattdennewitz@gmail.com" ]

mattdennewitz@gmail.com

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AndrewErmakov/PythonTrainingBasics

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len_table, count_socks, count_points = map(int, input().split()) def determination_thickness(length_table, number_socks, number_points): count_list = [0] * (length_table + 1) for _ in range(number_socks): left_border, right_border = map(int, input().split()) for i in range(left_border, right_border + 1): count_list[i] += 1 for j in range(number_points): index_point = int(input()) print(count_list[index_point]) determination_thickness(len_table, count_socks, count_points)

[ "andrew.67@list.ru" ]

andrew.67@list.ru

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/ISStreamer-r-3-bucket.py

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chaeplin/dash-mainnet

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refs/heads/master

2021-01-19T21:15:49.790385

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#!/usr/bin/env python3 # -*- coding: utf-8 -*- import io, os, sys import simplejson as json import datetime import time import redis from ISStreamer.Streamer import Streamer # bucket1 = dash121 iss_bucket_name1 = 'dash121' iss_bucket_key1 = 'xxx' iss_access_key1 = 'xxxx' QUE_NAME1 = 'INITIALSTATE_PUSH' + iss_bucket_name1 # bucket2 = testnet iss_bucket_name2 = 'testnet' iss_bucket_key2 = 'xxxx' iss_access_key2 = 'xxxxxx' QUE_NAME2 = 'INITIALSTATE_PUSH' + iss_bucket_name2 # bucket3 = ticker iss_bucket_name3 = 'ticker' iss_bucket_key3 = 'xxxx' iss_access_key3 = 'xxxx' QUE_NAME3 = 'INITIALSTATE_PUSH' + iss_bucket_name3 # streamer streamer1 = Streamer(bucket_key=iss_bucket_key1, access_key=iss_access_key1)#, debug_level=2) streamer2 = Streamer(bucket_key=iss_bucket_key2, access_key=iss_access_key2)#, debug_level=2) streamer3 = Streamer(bucket_key=iss_bucket_key3, access_key=iss_access_key3)#, debug_level=2) # redis POOL = redis.ConnectionPool(host='192.168.10.2', port=16379, db=0) r = redis.StrictRedis(connection_pool=POOL) # main try: r.ping() except Exception as e: print(e) sys.exit() try: while 1: quelist = (QUE_NAME1, QUE_NAME2, QUE_NAME3) jobque = r.brpop(quelist, 5) if jobque: redis_val = json.loads(jobque[1].decode("utf-8")) bucket_name = redis_val.get('bucket_name', 'dash121') kprefix = redis_val.get('key_prefix') epoch00 = redis_val.get('epoch') bucket = redis_val.get('bucket') print(epoch00, bucket_name, kprefix, bucket) if bucket_name == iss_bucket_name1: streamer1.log_object(bucket, key_prefix=kprefix, epoch=epoch00) elif bucket_name == iss_bucket_name2: streamer2.log_object(bucket, key_prefix=kprefix, epoch=epoch00) elif bucket_name == iss_bucket_name3: streamer3.log_object(bucket, key_prefix=kprefix, epoch=epoch00) time.sleep(0.25) else: b = { "tstamp": time.time() } streamer1.log_object(b) streamer2.log_object(b) streamer3.log_object(b) streamer1.flush() time.sleep(0.25) streamer2.flush() time.sleep(0.25) streamer3.flush() time.sleep(0.25) except Exception as e: print(e) sys.exit() except KeyboardInterrupt: print('[dequeue] intterupted by keyboard') sys.exit()

[ "chaeplin@gmail.com" ]

chaeplin@gmail.com

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/apps/utils/requests_wrapper.py

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wumulong/advance_django_example

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2021-06-24T13:34:31.873207

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import requests def requests_get(protocal, host, port, url, headers={}, params={}): reqeusts_result = {} if port: requests_url = '{0}://{1}:{2}{3}'.format(protocal, host, port, url) else: requests_url = '{0}://{1}{2}'.format(protocal, host, url) try: r = requests.get(requests_url, headers=headers, params=params) r.raise_for_status() json_result = r.json() reqeusts_result['data'] = json_result reqeusts_result['errors'] = '' except requests.exceptions.RequestException as e: json_result = r.json() if json_result['errors']: reqeusts_result['errors'] = json_result['errors'] else: reqeusts_result['errors'] = e return reqeusts_result def requests_post(protocal, host, port, url, headers={}, json={}): reqeusts_result = {} if port: requests_url = '{0}://{1}:{2}{3}'.format(protocal, host, port, url) else: requests_url = '{0}://{1}{2}'.format(protocal, host, url) try: r = requests.post(requests_url, headers=headers, json=json) r.raise_for_status() json_result = r.json() reqeusts_result['data'] = json_result reqeusts_result['errors'] = '' except requests.exceptions.RequestException as e: json_result = r.json() if json_result['errors']: reqeusts_result['errors'] = json_result['errors'] else: reqeusts_result['errors'] = e return reqeusts_result

[ "lsdlab@icloud.com" ]

lsdlab@icloud.com

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/huaweicloud-sdk-dds/huaweicloudsdkdds/v3/model/list_az2_migrate_request.py

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zhouxy666/huaweicloud-sdk-python-v3

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# coding: utf-8 import re import six from huaweicloudsdkcore.utils.http_utils import sanitize_for_serialization class ListAz2MigrateRequest: """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ sensitive_list = [] openapi_types = { 'instance_id': 'str' } attribute_map = { 'instance_id': 'instance_id' } def __init__(self, instance_id=None): """ListAz2MigrateRequest - a model defined in huaweicloud sdk""" self._instance_id = None self.discriminator = None self.instance_id = instance_id @property def instance_id(self): """Gets the instance_id of this ListAz2MigrateRequest. 实例ID。 :return: The instance_id of this ListAz2MigrateRequest. :rtype: str """ return self._instance_id @instance_id.setter def instance_id(self, instance_id): """Sets the instance_id of this ListAz2MigrateRequest. 实例ID。 :param instance_id: The instance_id of this ListAz2MigrateRequest. :type: str """ self._instance_id = instance_id def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: if attr in self.sensitive_list: result[attr] = "****" else: result[attr] = value return result def to_str(self): """Returns the string representation of the model""" import simplejson as json if six.PY2: import sys reload(sys) sys.setdefaultencoding("utf-8") return json.dumps(sanitize_for_serialization(self), ensure_ascii=False) def __repr__(self): """For `print`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, ListAz2MigrateRequest): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

[ "hwcloudsdk@huawei.com" ]

hwcloudsdk@huawei.com

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/bJxNHk7aovkx8Q776_10.py

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daniel-reich/ubiquitous-fiesta

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refs/heads/master

2023-04-05T06:40:37.328213

2021-04-06T20:17:44

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def gold_distribution(gold): totals, p = [0, 0], 0 while gold: idx = -1 if gold[-1] > gold[0] else 0 totals[p] += gold.pop(idx) p = 1 - p return totals

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

daniel.reich@danielreichs-MacBook-Pro.local

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/interview_q/leet_code/解码方法.py

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[]

no_license

dongyang2/hello-world

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refs/heads/master

2022-12-11T22:07:22.853912

2022-11-24T03:52:35

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# https://leetcode-cn.com/problems/decode-ways/ # coding:utf-8 # Python 3 # 数字与字母一一对应，求转换结果。解法参考本文件夹下的爬楼梯和电话号码的字母组合。 """ 此题和爬楼梯是同一个类型的问题，难点在于其添加了许多限制条件，只要避开限制条件就可以完美解题了每次递进，可以选取一个数也可以选取两个数： s[i] != '0' 如果 s[i-1]s[i] <= 26, 则 dp[i] = dp[i-1] + dp[i-2] 如果 s[i-1]s[i] > 26, 则 dp[i] = dp[i-1], 这是因为 s[i-1]s[i] 组成的两位数无法翻译 s[i] == '0' 如果 s[i-1]s[i] <= 26, 则 dp[i] = dp[i-2], 这是因为 s[i] 无法翻译还有一些情景直接使得整个序列无法被翻译：相邻的两个 ‘0’ 以 ‘0’ 结尾的大于 26 的数字去除这些限制条件，此题就是爬楼梯的问题了，一次可以爬一步，也可以爬两步，问有多少中方式到达终点。作者：nfgc 链接：https://leetcode-cn.com/problems/decode-ways/solution/dong-tai-gui-hua-tu-jie-by-nfgc/ 来源：力扣（LeetCode）著作权归作者所有。商业转载请联系作者获得授权，非商业转载请注明出处。 """ # 除了解题思路以外，还要注意‘10’，‘00’, '101','301'这样的边界输入 def clim(s, dic): """有条件的爬楼梯，自底向上法""" ln = len(s) if ln < 1 or s[0] == '0': return 0 if ln == 1: if s == '0': return 0 return [dic[s]] li1 = [dic[s[0]]] li2 = decode_2char(s[:2], dic) if li2 is False: return 0 for i in range(2, ln): tmp = [] # 充当爬楼梯中的final two_char = s[i - 1] + s[i] if s[i] != '0': if int(two_char) <= 26 and s[i - 1] != '0': tmp = decode(two_char, li1, tmp, dic) tmp = decode(s[i], li2, tmp, dic) else: tmp = decode(s[i], li2, tmp, dic) else: if s[i - 1] == '1' or s[i - 1] == '2': tmp = decode(two_char, li1, tmp, dic) else: return 0 li1, li2 = li2, tmp return li2 def decode_2char(n, dic): # 解码两位数字 s1 = n[0] s2 = n[1] if s2 == '0': if s1 == '1' or s1 == '2': return [dic[n]] else: return False li = [dic[n[0]] + dic[n[1]]] if int(n) <= 26: li.append(dic[n]) return li def decode(s: str, li: list, tmp: list, dic): for i in li: tmp.append(i + dic[s]) return tmp def clim_pure_num(s): """有条件的爬楼梯，自底向上纯计数方式，不收集元素""" ln = len(s) if ln < 1 or s[0] == '0': return 0 if ln == 1: return 1 f1 = 1 f2 = decode_2char_pure_num(s[:2]) if f2 is False: return 0 for i in range(2, ln): two_char = s[i - 1] + s[i] if s[i] != '0': if int(two_char) <= 26 and s[i - 1] != '0': final = f1 + f2 else: final = f2 else: if s[i - 1] == '1' or s[i - 1] == '2': final = f1 else: return 0 f1, f2 = f2, final return f2 def decode_2char_pure_num(n): # 解码两位数字，配合纯数字版 s1 = n[0] s2 = n[1] if s2 == '0': if s1 == '1' or s1 == '2': return 1 else: return False if int(n) <= 26: return 2 else: return 1 def main(): dic = dict() count = 1 upper_abc = [chr(65 + x) for x in range(26)] for i in upper_abc: dic[str(count)] = i count += 1 # print(dic) n = "27" # li = clim(n, dic) li = clim_pure_num(n) if li == 0: raise ValueError('Please input valid number.') print(li) if __name__ == '__main__': import time print('-' * 15, 'Start', time.ctime(), '-' * 15, '\n') main() # print(str(int('00000000235600000'))) print('%s%s %s %s %s' % ('\n', '-' * 16, 'End', time.ctime(), '-' * 16))

[ "dongyangzhao@outlook.com" ]

dongyangzhao@outlook.com

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/sdBs/AllRun/pg_2352+180/sdB_PG_2352+180_coadd.py

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tboudreaux/SummerSTScICode

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2021-01-20T18:07:44.723496

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from gPhoton.gMap import gMap def main(): gMap(band="NUV", skypos=[358.821833,18.337653], skyrange=[0.0333333333333,0.0333333333333], stepsz = 30., cntfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdBs/sdB_PG_2352+180/sdB_PG_2352+180_movie_count.fits", cntcoaddfile="/data2/fleming/GPHOTON_OUTPUT/LIGHTCURVES/sdB/sdB_PG_2352+180/sdB_PG_2352+180_count_coadd.fits", overwrite=True, verbose=3) if __name__ == "__main__": main()

[ "thomas@boudreauxmail.com" ]

thomas@boudreauxmail.com

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/lab07password_generator.py

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[]

no_license

pjz987/pdx_code_intro_class

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2020-09-12T21:25:50.152682

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''' filename : lab07password_generator.py Lab 7: Password Generator Let's generate a password ten characters long using a loop (while loop or for loop) and random.choice, this will be a string of random characters. ''' #always import random first if needed import random #using import string to quickly call up alphabet/numbers import string pass_length = input("How many characters do you want in your password?\n") pass_length_int = int(pass_length) #^I needed int() to turn the string pass_length into the integer pass_length_int password = '' for characters in range(pass_length_int): characters = string.ascii_lowercase + string.digits + string.punctuation + string. ascii_uppercase #^ was characters = [string.ascii_lowercase + string.digits] the brackets made it not work right password = password + random.choice(characters) print(password) ''' Advanced Version 1 Allow the user to choose how many characters the password will be. ##I went back and added this code starting on line 14.## ''' ''' Advanced Version 2 Allow the user to choose how many letters, numbers, and punctuation characters they want in their password. Mix everything up using list(), random.shuffle(), and ''.join(). ##^figure out what this is about some other day^## '''

[ "pwj2012@gmail.com" ]

pwj2012@gmail.com

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/PrintSum.py

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lpham4/PythonPractice

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refs/heads/main

2023-01-02T11:56:39.192524

2020-10-21T23:45:52

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# Class: 1321L # Section: 02 # Term: Fall 2018 # Instructor: Malcolm # Name: Ly Pham # Lab: Python integer = int(input('Enter an integer between 1 and 100: ')) print('You entered:', integer) if integer < 1 or integer > 100: print('Invalid input. Try again.') else: count = 0 sum = 0 while count <= integer: sum += count count += 1 print('Sum of values: ', sum)

[ "lpham4@students.kennesaw.edu" ]

lpham4@students.kennesaw.edu

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/database/old/Init_analysisdb.py

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montanaviking/waferprobe

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refs/heads/master

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# Phil Marsh Carbonics # initialize database from sqlalchemy.ext.declarative import declarative_base from datetime import datetime from sqlalchemy import (Column, Integer, Numeric, String, DateTime, ForeignKey, Boolean, create_engine) from sqlalchemy.orm import relationship, backref, sessionmaker Base=declarative_base() class DataAccessLayer: def __init__(self): self.engine=None #self.conn_string="mysql+pymysql:///montanaviking:nova@localhost/test" def connect(self): self.engine=create_engine("mysql+pymysql://montanaviking:nova@localhost/Carbonics_test") Base.metadata.create_all(self.engine) self.Session=sessionmaker(bind=self.engine) dal=DataAccessLayer()

[ "microcraftx@gmail.com" ]

microcraftx@gmail.com

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/alchemy/test/autoencoder_test.py

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2021-09-07T22:57:15.198254

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# -*- coding: utf-8 -*- import numpy as np import tensorflow as tf import unittest from alchemy import layers, utils class AutoEncoderTest(unittest.TestCase): def test_conv2d_autoencoder(self): tf.reset_default_graph() inputs_ph = tf.placeholder(tf.float32, [None, 8, 8, 1]) scope = 'autoencoder' strides = [1, 1] latent_output, encoder, shapes = layers.conv2d_encoder( inputs_ph, [2, 2], [2, 2], strides, 'encoder') outputs = layers.conv2d_decoder( latent_output, encoder, shapes, strides, 'decoder') self.assertTrue( utils.all_equal( outputs.get_shape().as_list(), inputs_ph.get_shape().as_list())) with tf.Session() as sess: sess.run(tf.global_variables_initializer()) input_image = np.zeros((1, 8, 8, 1)) output_image = sess.run(outputs, feed_dict={inputs_ph: input_image}) self.assertTrue(np.all(np.equal(input_image, output_image)))

[ "samwenke@gmail.com" ]

samwenke@gmail.com

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# Copyright (c) 2016 Universidade Federal Fluminense (UFF) # Copyright (c) 2016 Polytechnic Institute of New York University. # This file is part of noWorkflow. # Please, consult the license terms in the LICENSE file. """Environment Attribute Model""" from __future__ import (absolute_import, print_function, division, unicode_literals) from sqlalchemy import Column, Integer, Text from sqlalchemy import PrimaryKeyConstraint, ForeignKeyConstraint from ...utils.prolog import PrologDescription, PrologTrial, PrologRepr from .base import AlchemyProxy, proxy_class @proxy_class class EnvironmentAttr(AlchemyProxy): """Represent an environment attribute""" __tablename__ = "environment_attr" __table_args__ = ( PrimaryKeyConstraint("trial_id", "id"), ForeignKeyConstraint(["trial_id"], ["trial.id"], ondelete="CASCADE"), ) trial_id = Column(Integer, index=True) id = Column(Integer, index=True) # pylint: disable=invalid-name name = Column(Text) value = Column(Text) # Relationship attributes (see relationships.py): # trial: 1 Trial prolog_description = PrologDescription("environment", ( PrologTrial("trial_id", link="trial.id"), PrologRepr("name"), PrologRepr("value"), ), description=( "informs that a environment attribute (*name*)\n" "was defined with *value*\n" "in a given trial (*trial_id*)." )) @property def brief(self): """Brief description of environment attribute""" return self.name def __hash__(self): return hash((self.name, self.value)) def __eq__(self, other): return self.name == other.name def show(self, _print=lambda x, offset=0: print(x)): """Show object Keyword arguments: _print -- custom print function (default=print) """ _print("{0.name}: {0.value}".format(self)) def __repr__(self): return "Environment({0.trial_id}, {0.name}, {0.value})".format(self)

[ "joaofelipenp@gmail.com" ]

joaofelipenp@gmail.com

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"""tags Revision ID: 3b387b077506 Revises: 48641cbf69d7 Create Date: 2014-01-11 11:01:56.791153 """ # revision identifiers, used by Alembic. revision = '3b387b077506' down_revision = '48641cbf69d7' from alembic import op import sqlalchemy as sa def upgrade(): ### commands auto generated by Alembic - please adjust! ### op.create_table('tags', sa.Column('name', sa.Unicode(length=200), nullable=False), sa.Column('created_at', sa.DateTime(), nullable=True), sa.Column('updated_at', sa.DateTime(), nullable=True), sa.Column('id', sa.Integer(), nullable=False), sa.PrimaryKeyConstraint('id'), sa.UniqueConstraint('name') ) op.create_table('tagged_images', sa.Column('image_id', sa.Integer(), nullable=True), sa.Column('tag_id', sa.Integer(), nullable=True), sa.ForeignKeyConstraint(['image_id'], [u'images.id'], ), sa.ForeignKeyConstraint(['tag_id'], [u'tags.id'], ) ) op.add_column(u'images', sa.Column('tagstring', sa.UnicodeText(), nullable=True)) ### end Alembic commands ### def downgrade(): ### commands auto generated by Alembic - please adjust! ### op.drop_column(u'images', 'tagstring') op.drop_table('tagged_images') op.drop_table('tags') ### end Alembic commands ###

[ "danjac354@gmail.com" ]

danjac354@gmail.com

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/FluentPython/coro_exc_demo.py

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class DemoException(Exception): """An exception type for the demonstration.""" def demo_exc_handling(): print('-> coroutine started') while True: try: x = yield except DemoException: print('*** DemoException handled. Continuing...') else: print('-> coroutine received: {!r}'.format(x)) raise RuntimeError('This line should never run.') #exc_coro = demo_exc_handling() #next(exc_coro) #exc_coro.send(11) #exc_coro.send(22) #exc_coro.close() from inspect import getgeneratorstate #print(getgeneratorstate(exc_coro)) #16-10 #exc_coro = demo_exc_handling() #next(exc_coro) #exc_coro.send(11) #exc_coro.throw(DemoException) #print(getgeneratorstate(exc_coro)) #16-11 exc_coro = demo_exc_handling() next(exc_coro) exc_coro.send(11) exc_coro.throw(ZeroDivisionError) print(getgeneratorstate(exc_coro))

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bonald/vim_cfg

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#!/usr/bin/python #-*- coding: utf-8 -*- is_dev = True remote = '10.10.39.167' dut_regexp = r'DUT\d#' dut_stdout_pwd_info = r'Password:' shell_pwd = '!@#' cmd_regexp = r'\[\w+@.+\]\$' login_stdout_username_info = r'Username:' login_stdout_pwd_info = r'Password:' login_username = 'admin' login_pwd = 'admin' RPC_ERROR_SUCCESS = 0 RPC_ERROR_CLI_TIMEOUT = -1000 RPC_ERROR_CLI_FAIL = -1001 RPC_ERROR_CLI_AUTH_FAIL = -1002 RPC_ERROR_CLI_AUTH_LOW = -1003 RPC_ERROR_CLI_NOT_SUPPORT = -1004 RPC_ERROR_CHAR_NOT_SUPPORT = -1005 RPC_ERROR_STRING_NOT_SUPPORT = -1006 RPC_ERROR_MESSAGE_NOT_SUPPORT = -1007

[ "zhwwan@gmail.com" ]

zhwwan@gmail.com

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/pymatflow/cp2k/base/pw_dft_iterative_solver.py

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#!/usr/bin/evn python # _*_ coding: utf-8 _*_ import numpy as np import sys import os import shutil """ usage: """ # ============================================ # CP2K / PW_DFT / ITERATIVE_SOLVER #============================================= class cp2k_pw_dft_iterative_solver: """ """ def __init__(self): """ """ self.params = { } self.status = False # basic setting def to_input(self, fout): """ fout: a file stream for writing """ fout.write("\t\t&ITERATIVE_SOLVER\n") for item in self.params: if self.params[item] is not None: fout.write("\t\t\t%s %s\n" % (item, self.params[item])) fout.write("\t\t&END ITERATIVE_SOLVER\n") def set_params(self, params): for item in params: if len(item.split("-")) == 3: self.params[item.split("-")[-1]] = params[item] else: pass

[ "deqi_tang@163.com" ]

deqi_tang@163.com

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/origin/cartpole-a3c.py

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verystrongjoe/a3c-sketch

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import threading import numpy as np import tensorflow as tf import pylab import time import gym from keras.layers import Dense, Input from keras.models import Model from keras.optimizers import Adam from keras import backend as K # global variables for threading episode = 0 scores = [] EPISODES = 2000 # This is A3C(Asynchronous Advantage Actor Critic) agent(global) for the Cartpole # In this example, we use A3C algorithm class A3CAgent: def __init__(self, state_size, action_size, env_name): # get size of state and action self.state_size = state_size self.action_size = action_size # get gym environment name self.env_name = env_name # these are hyper parameters for the A3C self.actor_lr = 0.001 self.critic_lr = 0.001 self.discount_factor = .99 self.hidden1, self.hidden2 = 24, 24 self.threads = 8 # create model for actor and critic network self.actor, self.critic = self.build_model() # method for training actor and critic network self.optimizer = [self.actor_optimizer(), self.critic_optimizer()] self.sess = tf.InteractiveSession() K.set_session(self.sess) self.sess.run(tf.global_variables_initializer()) # approximate policy and value using Neural Network # actor -> state is input and probability of each action is output of network # critic -> state is input and value of state is output of network # actor and critic network share first hidden layer def build_model(self): state = Input(batch_shape=(None, self.state_size)) shared = Dense(self.hidden1, input_dim=self.state_size, activation='relu', kernel_initializer='glorot_uniform')(state) actor_hidden = Dense(self.hidden2, activation='relu', kernel_initializer='glorot_uniform')(shared) action_prob = Dense(self.action_size, activation='softmax', kernel_initializer='glorot_uniform')(actor_hidden) value_hidden = Dense(self.hidden2, activation='relu', kernel_initializer='he_uniform')(shared) state_value = Dense(1, activation='linear', kernel_initializer='he_uniform')(value_hidden) actor = Model(inputs=state, outputs=action_prob) critic = Model(inputs=state, outputs=state_value) actor._make_predict_function() critic._make_predict_function() actor.summary() critic.summary() return actor, critic # make loss function for Policy Gradient # [log(action probability) * advantages] will be input for the back prop # we add entropy of action probability to loss def actor_optimizer(self): action = K.placeholder(shape=(None, self.action_size)) advantages = K.placeholder(shape=(None, )) policy = self.actor.output good_prob = K.sum(action * policy, axis=1) eligibility = K.log(good_prob + 1e-10) * K.stop_gradient(advantages) loss = -K.sum(eligibility) entropy = K.sum(policy * K.log(policy + 1e-10), axis=1) actor_loss = loss + 0.01*entropy optimizer = Adam(lr=self.actor_lr) updates = optimizer.get_updates(self.actor.trainable_weights, [], actor_loss) train = K.function([self.actor.input, action, advantages], [], updates=updates) return train #, optimizer.get_gradients(actor_loss, self.actor.trainable_weights) # make loss function for Value approximation def critic_optimizer(self): discounted_reward = K.placeholder(shape=(None, )) value = self.critic.output loss = K.mean(K.square(discounted_reward - value)) optimizer = Adam(lr=self.critic_lr) updates = optimizer.get_updates(self.critic.trainable_weights, [], loss) train = K.function([self.critic.input, discounted_reward], [], updates=updates) return train # make agents(local) and start training def train(self): # self.load_model('./save_model/cartpole_a3c.h5') agents = [Agent(i, self.actor, self.critic, self.optimizer, self.env_name, self.discount_factor, self.action_size, self.state_size) for i in range(self.threads)] for agent in agents: agent.start() while True: time.sleep(20) plot = scores[:] pylab.plot(range(len(plot)), plot, 'b') pylab.savefig("./save_graph/cartpole_a3c.png") self.save_model('./save_model/cartpole_a3c.h5') def save_model(self, name): self.actor.save_weights(name + "_actor.h5") self.critic.save_weights(name + "_critic.h5") def load_model(self, name): self.actor.load_weights(name + "_actor.h5") self.critic.load_weights(name + "_critic.h5") # This is Agent(local) class for threading class Agent(threading.Thread): def __init__(self, index, actor, critic, optimizer, env_name, discount_factor, action_size, state_size): threading.Thread.__init__(self) self.states = [] self.rewards = [] self.actions = [] self.index = index self.actor = actor self.critic = critic self.optimizer = optimizer self.env_name = env_name self.discount_factor = discount_factor self.action_size = action_size self.state_size = state_size # Thread interactive with environment def run(self): global episode env = gym.make(self.env_name) while episode < EPISODES: state = env.reset() score = 0 while True: action = self.get_action(state) next_state, reward, done, _ = env.step(action) score += reward self.memory(state, action, reward) state = next_state if done: episode += 1 print("episode: ", episode, "/ score : ", score) scores.append(score) self.train_episode(score != 500) break # In Policy Gradient, Q function is not available. # Instead agent uses sample returns for evaluating policy def discount_rewards(self, rewards, done=True): discounted_rewards = np.zeros_like(rewards) running_add = 0 if not done: running_add = self.critic.predict(np.reshape(self.states[-1], (1, self.state_size)))[0] for t in reversed(range(0, len(rewards))): running_add = running_add * self.discount_factor + rewards[t] discounted_rewards[t] = running_add return discounted_rewards # save <s, a ,r> of each step # this is used for calculating discounted rewards def memory(self, state, action, reward): self.states.append(state) act = np.zeros(self.action_size) act[action] = 1 self.actions.append(act) self.rewards.append(reward) # update policy network and value network every episode def train_episode(self, done): discounted_rewards = self.discount_rewards(self.rewards, done) values = self.critic.predict(np.array(self.states)) values = np.reshape(values, len(values)) advantages = discounted_rewards - values self.optimizer[0]([self.states, self.actions, advantages]) self.optimizer[1]([self.states, discounted_rewards]) self.states, self.actions, self.rewards = [], [], [] def get_action(self, state): policy = self.actor.predict(np.reshape(state, [1, self.state_size]))[0] return np.random.choice(self.action_size, 1, p=policy)[0] if __name__ == "__main__": env_name = 'CartPole-v1' env = gym.make(env_name) state_size = env.observation_space.shape[0] action_size = env.action_space.n env.close() global_agent = A3CAgent(state_size, action_size, env_name) global_agent.train()

[ "verystrongjoe@gmail.com" ]

verystrongjoe@gmail.com

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loggar/py

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tuple1 = ('abcd', 786, 2.23, 'john', 70.2) tinytuple = (123, 'john') print(tuple1) # Prints complete tuple print(tuple1[0]) # Prints first element of the tuple print(tuple1[1:3]) # Prints elements starting from 2nd till 3rd print(tuple1[2:]) # Prints elements starting from 3rd element print(tinytuple * 2) # Prints tuple two times print(tuple1 + tinytuple) # Prints concatenated tuple list1 = ['abcd', 786, 2.23, 'john', 70.2] # tuple1[2] = 1000 # Invalid syntax with tuple list1[2] = 1000 # Valid syntax with list

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# Copyright 2019 The TensorFlow Authors. All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # ============================================================================== """Python module for Session ops, vars, and functions exported by pybind11.""" from __future__ import absolute_import from __future__ import division from __future__ import print_function # pylint: disable=invalid-import-order,g-bad-import-order, wildcard-import, unused-import from tensorflow.python import pywrap_tensorflow from tensorflow.python.client._pywrap_tf_session import * from tensorflow.python.client._pywrap_tf_session import _TF_SetTarget from tensorflow.python.client._pywrap_tf_session import _TF_SetConfig from tensorflow.python.client._pywrap_tf_session import _TF_NewSessionOptions # Convert versions to strings for Python2 and keep api_compatibility_test green. # We can remove this hack once we remove Python2 presubmits. pybind11 can only # return unicode for Python2 even with py::str. # https://pybind11.readthedocs.io/en/stable/advanced/cast/strings.html#returning-c-strings-to-python # pylint: disable=undefined-variable __version__ = str(get_version()) __git_version__ = str(get_git_version()) __compiler_version__ = str(get_compiler_version()) __cxx11_abi_flag__ = get_cxx11_abi_flag() __monolithic_build__ = get_monolithic_build() # User getters to hold attributes rather than pybind11's m.attr due to # b/145559202. GRAPH_DEF_VERSION = get_graph_def_version() GRAPH_DEF_VERSION_MIN_CONSUMER = get_graph_def_version_min_consumer() GRAPH_DEF_VERSION_MIN_PRODUCER = get_graph_def_version_min_producer() TENSOR_HANDLE_KEY = get_tensor_handle_key() # pylint: enable=undefined-variable # Disable pylint invalid name warnings for legacy functions. # pylint: disable=invalid-name def TF_NewSessionOptions(target=None, config=None): # NOTE: target and config are validated in the session constructor. opts = _TF_NewSessionOptions() if target is not None: _TF_SetTarget(opts, target) if config is not None: config_str = config.SerializeToString() _TF_SetConfig(opts, config_str) return opts # Disable pylind undefined-variable as the variable is exported in the shared # object via pybind11. # pylint: disable=undefined-variable def TF_Reset(target, containers=None, config=None): opts = TF_NewSessionOptions(target=target, config=config) try: TF_Reset_wrapper(opts, containers) finally: TF_DeleteSessionOptions(opts)

[ "gardener@tensorflow.org" ]

gardener@tensorflow.org

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"""クラスカル法""" class Node: def __init__(self, idx): self.idx = idx self.parent = None def unite(x: Node, y: Node, nodes): """xを含む集合とyを含む集合を併合""" x_root, x_depth = root(x, 0) y_root, y_depth = root(y, 0) # xの根を併合後の根とする if y_root != x_root: if x_depth >= y_depth: y_root.parent = x_root nodes[y_root.idx] = y_root else: x_root.parent = y_root nodes[x_root.idx] = x_root return nodes def same(x: Node, y: Node): """xとyが同じ集合に所属するか？すれば1, しなければ0を返す""" x_root, _ = root(x, 0) y_root, _ = root(y, 0) if x_root.idx == y_root.idx: return 1 else: return 0 def root(x: Node, cnt: int): """Node xの所属する木の根を探索""" if x.parent is None: return x, cnt else: return root(x.parent, cnt + 1) def initialize_adjlists(lists, V): for i in range(V): lists[i] = [] return lists def adjacency_lists2kuraskal_list(adjacency_lists: dict) -> dict: """ OUTPUT: {(from_, to_): weight} """ dicts = {} for from_ in adjacency_lists: for to_, weight in adjacency_lists[from_]: dicts[(from_, to_)] = weight return dicts def kuraskal(adjacency_lists: dict): V = len(adjacency_lists) kuraskal_lists = adjacency_lists2kuraskal_list(adjacency_lists) kuraskal_lists = sorted(kuraskal_lists.items(), key=lambda x: x[1]) nodes = [] for i in range(V): node = Node(i) nodes.append(node) num = 0 for (from_, to_), weight in kuraskal_lists: if same(nodes[from_], nodes[to_]): continue else: nodes = unite(nodes[from_], nodes[to_], nodes) num += weight return num def main(): V = int(input()) adjacency_lists = {} # key: node, value: (node, weight) adjacency_lists = initialize_adjlists(adjacency_lists, V) for i in range(V): lists = [int(c) for c in input().split()] for j, w in enumerate(lists): if w == -1: continue adjacency_lists[i].append((j, w)) print(kuraskal(adjacency_lists)) if __name__ == '__main__': main()

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c1 = list(map(int, input().rstrip().split())) c2 = list(map(int, input().rstrip().split())) c3 = list(map(int, input().rstrip().split())) answer = 'No' #a1?????a2,a3,b1,b2,b3????????? for i in range(101): a1 = i b1 = c1[0] - a1 b2 = c1[1] - a1 b3 = c1[2] - a1 a2 = c2[0] - b1 a3 = c3[0] - b1 c2_2 = a2 + b2 c2_3 = a2 + b3 c3_2 = a3 + b2 c3_3 = a3 + b3 if c2_2 == c2[1] and c2_3 == c2[2] and c3_2 == c3[1] and c3_3 == c3[2]: answer = 'Yes' break print(answer)

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#!/usr/bin/env python import sys while True: line = sys.stdin.readline().split() if not line: break line[0] = '/'.join(line[0].split('/')[::-1]) print(' '.join(line))

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2023-08-30T08:59:16.006567

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import io import unittest from contextlib import redirect_stdout from unittest.mock import patch class TestQ(unittest.TestCase): @patch('builtins.input', side_effect=[ '95 85', '85 95', '80 70', '70 65', '60 70', ]) def test_case_0(self, input_mock=None): text_trap = io.StringIO() with redirect_stdout(text_trap): import solution self.assertEqual(text_trap.getvalue(), '78.288\n') if __name__ == '__main__': unittest.main()

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#!/usr/bin/env python # -*- coding: utf-8 -*- # @Time : 2021/04/09 # @Author : yuetao # @Site : # @File : LeetCode53_最大子序和.py # @Desc : """ 输入：nums = [-2,1,-3,4,-1,2,1,-5,4] 输出：6 解释：连续子数组 [4,-1,2,1] 的和最大，为 6 。在状态的计算过程中我们可以发现，后面状态的计算只与当前状态的值有关，而与此阶段之前的值无关，所以具有无后效性。 """ class Solution(object): def maxSubArray(self, nums): """ :type nums: List[int] :rtype: int """ length = len(nums) dp = [float("-inf") for _ in range(length)] dp[0] = nums[0] res = dp[0] for i in range(1, length): dp[i] = max(dp[i-1] + nums[i], nums[i]) res = max(dp[i], res) return res if __name__ == '__main__': solve = Solution() nums = [-2,1,-3,4,-1,2,1,-5,4] result = solve.maxSubArray(nums) print(result)

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#calss header class _ETHIOPIAN(): def __init__(self,): self.name = "ETHIOPIAN" self.definitions = [u'belonging to or relating to Ethiopia or its people'] self.parents = [] self.childen = [] self.properties = [] self.jsondata = {} self.specie = 'adjectives' def run(self, obj1, obj2): self.jsondata[obj2] = {} self.jsondata[obj2]['properties'] = self.name.lower() return self.jsondata

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import os import torch import argparse import numpy as np from SwissArmyTransformer import mpu, get_args from SwissArmyTransformer.training.deepspeed_training import training_main from roberta_model import RobertaModel from SwissArmyTransformer.model.mixins import PrefixTuningMixin, MLPHeadMixin class ClassificationModel(RobertaModel): def __init__(self, args, transformer=None, parallel_output=True): super().__init__(args, transformer=transformer, parallel_output=parallel_output) self.del_mixin('roberta-final') self.add_mixin('classification_head', MLPHeadMixin(args.hidden_size, 2048, 1)) self.add_mixin('prefix-tuning', PrefixTuningMixin(args.num_layers, args.hidden_size // args.num_attention_heads, args.num_attention_heads, args.prefix_len)) def disable_untrainable_params(self): self.transformer.word_embeddings.requires_grad_(False) # for layer_id in range(len(self.transformer.layers)): # self.transformer.layers[layer_id].requires_grad_(False) def get_batch(data_iterator, args, timers): # Items and their type. keys = ['input_ids', 'position_ids', 'attention_mask', 'label'] datatype = torch.int64 # Broadcast data. timers('data loader').start() if data_iterator is not None: data = next(data_iterator) else: data = None timers('data loader').stop() data_b = mpu.broadcast_data(keys, data, datatype) # Unpack. tokens = data_b['input_ids'].long() labels = data_b['label'].long() position_ids = data_b['position_ids'].long() attention_mask = data_b['attention_mask'][:, None, None, :].float() # Convert if args.fp16: attention_mask = attention_mask.half() return tokens, labels, attention_mask, position_ids, (tokens!=1) def forward_step(data_iterator, model, args, timers): """Forward step.""" # Get the batch. timers('batch generator').start() tokens, labels, attention_mask, position_ids, loss_mask = get_batch( data_iterator, args, timers) timers('batch generator').stop() logits, *mems = model(tokens, position_ids, attention_mask) # pred = ((logits.contiguous().float().squeeze(-1)) * loss_mask).sum(dim=-1) / loss_mask.sum(dim=-1) pred = logits.contiguous().float().squeeze(-1)[..., 0] loss = torch.nn.functional.binary_cross_entropy_with_logits( pred, labels.float() ) acc = ((pred > 0.).long() == labels).sum() / labels.numel() return loss, {'acc': acc} pretrain_path = '' from transformers import RobertaTokenizer tokenizer = RobertaTokenizer.from_pretrained(os.path.join(pretrain_path, 'roberta-large')) from transformers.models.roberta.modeling_roberta import create_position_ids_from_input_ids def _encode(text, text_pair): encoded_input = tokenizer(text, text_pair, max_length=args.sample_length, padding='max_length', truncation='only_first') position_ids = create_position_ids_from_input_ids(torch.tensor([encoded_input['input_ids']]), 1, 0) return dict(input_ids=encoded_input['input_ids'], position_ids=position_ids[0].numpy(), attention_mask=encoded_input['attention_mask']) from SwissArmyTransformer.data_utils import load_hf_dataset def create_dataset_function(path, args): def process_fn(row): pack, label = _encode(row['premise'], row['hypothesis']), int(row['label']) return { 'input_ids': np.array(pack['input_ids'], dtype=np.int64), 'position_ids': np.array(pack['position_ids'], dtype=np.int64), 'attention_mask': np.array(pack['attention_mask'], dtype=np.int64), 'label': label } return load_hf_dataset(path, process_fn, columns = ["input_ids", "position_ids", "attention_mask", "label"], cache_dir='/dataset/fd5061f6/SwissArmyTransformerDatasets', offline=False, transformer_name="rte_transformer") if __name__ == '__main__': py_parser = argparse.ArgumentParser(add_help=False) py_parser.add_argument('--new_hyperparam', type=str, default=None) py_parser.add_argument('--sample_length', type=int, default=512-16) py_parser.add_argument('--prefix_len', type=int, default=16) py_parser.add_argument('--old_checkpoint', action="store_true") known, args_list = py_parser.parse_known_args() args = get_args(args_list) args = argparse.Namespace(**vars(args), **vars(known)) # from cogdata.utils.ice_tokenizer import get_tokenizer as get_ice # tokenizer = get_tokenizer(args=args, outer_tokenizer=get_ice()) training_main(args, model_cls=ClassificationModel, forward_step_function=forward_step, create_dataset_function=create_dataset_function)

[ "islam.bakr.2017@gmail.com" ]

islam.bakr.2017@gmail.com

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2023-08-31T05:32:03.755869

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

[ "john.vrbanac@linux.com" ]

john.vrbanac@linux.com

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/入门学习/datetime_eg.py

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[]

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python-yc/pycharm_script

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refs/heads/master

2023-01-05T06:16:33.857668

2020-10-31T08:09:53

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#coding:utf-8 import datetime #datetime常见属性 #datetime.date()：一个理想和的日期，提供year，month，day属性 dt = datetime.date(2018,3,26) print(dt) print(dt.day) print(dt.year) print(dt.month) #datetime.time:提供一个理想和的时间 #datetime.datetime:提供日期与实践的组合 #datetime.timedelta:提供一个时间差，时间长度 from datetime import datetime import time #常用类方法：today、now、utcnow、fromtimestamp（从时间戳中返回本地时间） dt = datetime(2018,2,26) #此处的时间没有用到，但是需要这三个参数，删除报错 print(datetime.today()) print(dt.now()) print(dt.fromtimestamp(time.time())) print("===============11111111") #datetime.timedelta:表示一个时间间隔 from datetime import datetime,timedelta t1 = datetime.now() print(t1.strftime("%Y-%m-%d %H:%M:%S")) #td表示以小时的时间长度 td = timedelta(hours=1) print(td) #当前时间加上时间间隔后，把得到的一小时后的时间格式化输出 print((t1+td).strftime("%Y-%m-%d %H:%M:%S")) ##timeit-时间测量工具 ###- 测量程序运行时间间隔实验 print("===============222222") def p(): time.sleep(3.6) t1 = time.time() p() print(time.time() - t1) print("===========3333333333") #利用timeit调用代码，执行100000次，查看运行时间 #格式timeit.timeit(stmt=c,number=10000),c可以是函数，也可以是字符串式的代码块 ####字符串代码块形式s='''内容在三引号之间''' #timeit可以执行一个函数，来测量函数的执行时间，如： import timeit def doIt(): num = 2 for i in range(num): print("Repeat for {0}".format(i)) #执行函数，重复10次 print(doIt) print(type(doIt)) t = timeit.timeit(stmt=doIt,number=10) print(t) print("=============或者这样同上一个") import timeit s =''' def doIt(num): num = 2 for i in range(num): print("Repeat for {0}".format(i)) ''' #执行函数，重复10次 #执行doIt(num)，setup负责把环境变量准备好 #实际相当于给timeit创造一个小环境，在创造的小环境中，代码的执行顺序大致是 # ''' def doIt(num): ...... num = 2 doIt(num) ''' #此处的setup后的num=2循环输出的范围（即for后range的参数），number后的数字表示的循环次数 t = timeit.timeit("doIt(num)",setup=s+"num=0",number=10) print(t) # help(timeit.timeit)

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'''''5.向Listbox中添加一个item''' # 以上的例子均使用了insert来向Listbox中添加一个item，这个函数有两个属性一个为添加的索引值，另一个为添加的项(item) # 有两个特殊的值ACTIVE和END，ACTIVE是向当前选中的item前插入一个（即使用当前选中的索引作为插入位置）；END是向 # Listbox的最后一项添加插入一项 # 先向Listbox中追加三个item，再在Listbox开始添加三项 from tkinter import * root = Tk() lb = Listbox(root) for item in ['python','tkinter','widget']: lb.insert(END,item) #只添加一项将[]作为一个item #lb.insert(0,['linux','windows','unix']) #添加三项，每个string为一个item lb.insert(0,'linux','windows','unix') lb.pack() root.mainloop()

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wxjlmr@126.com

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dr-dos-ok/Code_Jam_Webscraper

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import sys lines = sys.stdin.readlines() i = 1 while i<len(lines): s = set() msg = lines[i].rstrip() for each in msg: s.add(each) #print len(s) maxbase = len(s) if maxbase == 1: maxbase = 2 cost = maxbase ** (len(msg)-1) cands = range(len(s)) cands.reverse() try: cands.remove(1) except: pass power = len(msg)-2 index = 2 prev = {} prev[msg[0]] = 1 for x in xrange(1, len(msg)): c = msg[x] #print c if not prev.has_key(c): prev[c] = int(cands.pop()) #print prev[c] #print "maxbase ", maxbase #print "power ", power cost += prev[c] * (maxbase ** power) power -= 1 #print prev print "Case #"+str(i)+": "+str(cost) i += 1

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2021-05-29T12:35:12.630232

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py

#!/usr/bin/env python def i4_sqrt ( n ): #*****************************************************************************80 # ## I4_SQRT finds the integer square root of N by solving N = Q^2 + R. # # Discussion: # # The integer square root of N is an integer Q such that # Q^2 <= N but N < (Q+1)^2. # # A simpler calculation would be something like # # Q = INT ( SQRT ( REAL ( N ) ) ) # # but this calculation has the virtue of using only integer arithmetic. # # To avoid the tedium of worrying about negative arguments, the routine # automatically considers the absolute value of the argument. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 14 March 2015 # # Author: # # John Burkardt # # Reference: # # Mark Herkommer, # Number Theory, A Programmer's Guide, # McGraw Hill, 1999, pages 294-307. # # Parameters: # # Input, integer N, the number whose integer square root is desired. # Actually, only the absolute value of N is considered. # # Output, integer Q, R, the integer square root, and positive remainder, # of N. # n_abs = abs ( n ) q = n_abs if ( 0 < n_abs ): while ( ( n_abs // q ) < q ): q = ( ( q + ( n_abs // q ) ) // 2 ) r = n_abs - q * q return q, r def i4_sqrt_test ( ): #*****************************************************************************80 # ## I4_SQRT_TEST tests I4_SQRT. # # Licensing: # # This code is distributed under the GNU LGPL license. # # Modified: # # 14 March 2015 # # Author: # # John Burkardt # print '' print 'I4_SQRT_TEST' print ' I4_SQRT computes the square root of an I4.' print '' print ' N Sqrt(N) Remainder' print '' for n in range ( -5, 21 ): q, r = i4_sqrt ( n ) print ' %7d %7d %7d' % ( n, q, r ) # # Terminate. # print '' print 'I4_SQRT_TEST' print ' Normal end of execution.' return if ( __name__ == '__main__' ): from timestamp import timestamp timestamp ( ) i4_sqrt_test ( ) timestamp ( )

[ "siplukabir@gmail.com" ]

siplukabir@gmail.com

bd49b4bc90efd2d2ceda83f672ca908ee94d8909

520e7d0bdc294e89e807ffc5d0277e0b1df035d4

/taskloaf/object_ref.py

4021c994f4aaf111c88d9cb39bd4b13d507c22d4

[ "MIT" ]

permissive

tanwanirahul/taskloaf

5a454e683dbf681f0a417911280c12176bd4a3a6

7f7b027ef18b8475922054ccc44dfcb5de0433bc

refs/heads/master

2020-04-20T20:55:52.124091

2018-12-10T19:21:45

null

0

null

UTF-8

Python

false

7,008

py

import asyncio import taskloaf.serialize import taskloaf.allocator import taskloaf.refcounting def put(worker, obj): return FreshObjectRef(worker, obj) def alloc(worker, nbytes): ptr = worker.allocator.malloc(nbytes) def on_delete(_id, worker = worker, ptr = ptr): worker.allocator.free(ptr) ref = taskloaf.refcounting.Ref(worker, on_delete) return ObjectRef(ref, ptr, False) def submit_ref_work(worker, to, f): ref = put(worker, f).convert() worker.send(to, worker.protocol.REFWORK, [ref, b'']) def setup_plugin(worker): assert(hasattr(worker, 'allocator')) assert(hasattr(worker, 'ref_manager')) worker.object_cache = dict() worker.protocol.add_msg_type( 'REMOTEGET', type = ObjectMsg, handler = handle_remote_get ) worker.protocol.add_msg_type( 'REMOTEPUT', type = ObjectMsg, handler = handle_remote_put ) worker.protocol.add_msg_type( 'REFWORK', type = ObjectMsg, handler = handle_ref_work ) def handle_ref_work(worker, args): f_ref = args[0] async def run_me(worker): f = await f_ref.get() await worker.wait_for_work(f) worker.start_async_work(run_me) def is_ref(x): return isinstance(x, FreshObjectRef) or isinstance(x, ObjectRef) """ This class barely needs to do anything because python already uses reference counting for GC. It just needs to make sure that once it is serialized, all serialized versions with the same id point to the same serialized chunk of memory. This is based on the observation that in order to access a chunk of memory from another worker, the reference first has to arrive at that other worker and thus serialization of the reference can be used as a trigger for serialization of the underlying object. """ class FreshObjectRef: def __init__(self, worker, obj): self.worker = worker self._id = self.worker.get_new_id() self.obj = obj self.objref = None async def get(self): return self.get_local() def get_local(self): return self.obj def __reduce__(self): objref = self.convert() return (FreshObjectRef.reconstruct, (objref,)) @classmethod def reconstruct(cls, objref): return objref def convert(self): if self.objref is not None: return self.objref else: return self._new_ref() def _new_ref(self): deserialize, child_refs, serialized_obj = serialize_if_needed( self.worker, self.obj ) nbytes = len(serialized_obj) ptr = self.worker.allocator.malloc(nbytes) ptr.deref()[:] = serialized_obj self.worker.object_cache[(self.worker.addr, self._id)] = self.obj def on_delete(_id, worker = self.worker, ptr = ptr): key = (worker.addr, _id) del worker.object_cache[key] worker.allocator.free(ptr) ref = taskloaf.refcounting.Ref( self.worker, on_delete, _id = self._id, child_refs = child_refs ) self.objref = ObjectRef(ref, ptr, deserialize) return self.objref def encode_capnp(self, msg): self.convert().encode_capnp(msg) def is_bytes(v): return isinstance(v, bytes) or isinstance(v, memoryview) def serialize_if_needed(worker, obj): if is_bytes(obj): return False, [], obj else: child_refs, blob = taskloaf.serialize.dumps(worker, obj) return True, child_refs, blob """ It seems like we're recording two indexes to the data: -- the ptr itself -- the (owner, _id) pair This isn't strictly necessary, but has some advantages. """ class ObjectRef: def __init__(self, ref, ptr, deserialize): self.ref = ref self.ptr = ptr self.deserialize = deserialize def key(self): return self.ref.key() @property def worker(self): return self.ref.worker async def get(self): await self._ensure_available() self._ensure_deserialized() return self.get_local() async def get_buffer(self): await self._ensure_available() return self.ptr.deref() def get_local(self): return self.worker.object_cache[self.key()] async def _ensure_available(self): self.ref._ensure_child_refs_deserialized() if self.key() in self.worker.object_cache: val = self.worker.object_cache[self.key()] if isinstance(val, asyncio.Future): await val ptr_accessible = self.ptr is not None if not ptr_accessible: await self._remote_get() def _ensure_deserialized(self): if self.key() not in self.worker.object_cache: self._deserialize_and_store(self.ptr.deref()) async def _remote_get(self): future = asyncio.Future(loop = self.worker.ioloop) self.worker.object_cache[self.key()] = future self.worker.send( self.ref.owner, self.worker.protocol.REMOTEGET, [self, b''] ) return (await future) def _remote_put(self, buf): future = self.worker.object_cache[self.key()] obj = self._deserialize_and_store(buf) future.set_result(obj) def _deserialize_and_store(self, buf): if self.deserialize: assert(isinstance(self.ref.child_refs, list)) out = taskloaf.serialize.loads( self.ref.worker, self.ref.child_refs, buf ) else: out = buf self.worker.object_cache[self.key()] = out return out def __getstate__(self): return dict( ref = self.ref, deserialize = self.deserialize, ptr = self.ptr, ) def encode_capnp(self, msg): self.ref.encode_capnp(msg.ref) msg.deserialize = self.deserialize self.ptr.encode_capnp(msg.ptr) @classmethod def decode_capnp(cls, worker, msg): objref = ObjectRef.__new__(ObjectRef) objref.ref = taskloaf.refcounting.Ref.decode_capnp(worker, msg.ref) objref.deserialize = msg.deserialize objref.ptr = taskloaf.allocator.Ptr.decode_capnp( worker, objref.ref.owner, msg.ptr ) return objref class ObjectMsg: @staticmethod def serialize(args): ref, v = args m = taskloaf.message_capnp.Message.new_message() m.init('object') ref.encode_capnp(m.object.objref) m.object.val = bytes(v) return m @staticmethod def deserialize(worker, msg): return ( ObjectRef.decode_capnp(worker, msg.object.objref), msg.object.val ) def handle_remote_get(worker, args): msg = worker.cur_msg async def reply(w): worker.send( msg.sourceAddr, worker.protocol.REMOTEPUT, [args[0], await args[0].get_buffer()] ) worker.run_work(reply) def handle_remote_put(worker, args): args[0]._remote_put(args[1])

[ "t.ben.thompson@gmail.com" ]

t.ben.thompson@gmail.com

4cce22269773651f5e8260b8a82c4e13ef2f377d

e2de3f6fe4373f1d98b67af61dd558a813250d54

/Algorithm/baekjoon/1546_평균.py

01a88b1be3fc1e2c36405cedb1ab135649d5e59f

[]

no_license

Hansung-Lee/TIL

3fd6d48427a8b24f7889116297143855d493535b

c24ebab8b631f5c1b835fdc8bd036acbebc8d187

refs/heads/master

2020-04-14T11:18:54.035863

2019-04-05T07:26:55

163,810,436

0

null

UTF-8

Python

false

192

py

import sys N = int(sys.stdin.readline()) X = list(map(int, sys.stdin.readline().split())) M = max(X) new_X = [] for score in X: new_X.append(score/M*100) print(sum(new_X)/len(new_X))

[ "ajtwlsgkst@naver.com" ]

ajtwlsgkst@naver.com

27b0dfc843974ab2897bb7c12bc2b7fa9de0dd72

e76f47d5e6752b838d5f7e23e22cfef65482b8e1

/SeniorProject/pages/forms.py

d830a5d3dfe4395e0c5225d7ae57c111cf95cde5

[]

no_license

AmirIdris/Final-Project

b006adfc4074df6687abaac83942b1b151300a51

7b0e28d01b7d5b4e4825d5d8b98ba193bd3f49e8

refs/heads/master

2023-06-10T21:13:12.875771

2021-07-08T20:23:59

362,912,491

0

1

null

2021-07-08T20:24:00

2021-04-29T18:34:24

CSS

UTF-8

Python

false

520

py

from django import forms from django.contrib.auth.forms import UserCreationForm,UserChangeForm from django.contrib.auth.models import User from django.forms import fields class CustomUserCreationForm(UserCreationForm): def __init__(self,*args,**kwargs): super(CustomUserCreationForm, self).__init__(*args,**kwargs) self.fields['is_staff']=forms.BooleanField(label=("Traffic Police"),required=False) class Meta: model=User fields=UserCreationForm.Meta.fields+('is_staff',)

[ "you@example.com" ]

you@example.com