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

7f1e95dd5b64e5a2682de80d0869298b7d501662

34233a495b1d095984f7cbdfb10702daaac75483

/4-5_wave_analyze.py

f11af2619766d32950c0981de89c43aa1b952f3a

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ZuluSierraHotel/correction-ebook

52b09b8d3527ca8597a3480d29683809197b6d86

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refs/heads/master

2020-05-26T06:21:47.684510

2019-05-24T01:46:01

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#-*- coding: utf-8 -*- #利用小波分析进行特征分析 #参数初始化 inputfile= '../data/leleccum.mat' #提取自Matlab的信号文件 from scipy.io import loadmat #mat是MATLAB专用格式，需要用loadmat读取它 mat = loadmat(inputfile) signal = mat['leleccum'][0] import pywt #导入PyWavelets coeffs = pywt.wavedec(signal, 'bior3.7', level = 5) #返回结果为level+1个数字，第一个数组为逼近系数数组，后面的依次是细节系数数组 print(coeffs)

[ "learner_kindle@163.com" ]

learner_kindle@163.com

7725472e66c0946eb2a38b1cd4d048d5d1d76a14

8590cd4e45a055faa2f5c7e2de8d726c4591e585

/dontfret/cart/forms.py

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[]

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BenCOGC/DontFret

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a3724c4f16f97ce931ae27b5edfed41e8bcdfaea

refs/heads/master

2022-09-15T02:10:36.933196

2020-05-25T11:08:25

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""" Title: cart:forms Author: Ben Frame Date: 09/04/2020 """ # Imports from django import forms from order.models import Order from django.core.validators import RegexValidator # Form for creation of User (and also as a template for editing user details) # Form for getting card details for a purchase class CardPaymentForm(forms.Form): cardNo = forms.CharField\ (max_length=16, default='0000000000000000', verbose_name='Card No.',validators=[RegexValidator(r'^\d{1,10}$')]) cardExpiryDateMonth = forms.CharField\ (max_length=2, default='00', verbose_name='Card Expiry Date', validators=[RegexValidator(r'^\d{1,10}$')]) cardExpiryDateYear = forms.CharField\ (max_length=4, default='0000', verbose_name='Card Expiry Date', validators=[RegexValidator(r'^\d{1,10}$')]) cardCCV = forms.CharField\ (max_length=3, default='000', verbose_name='CCV No (Back Of Card)', help_text='The last 3 numbers on the back of your card', validators=[RegexValidator(r'^\d{1,10}$')]) class Meta: model = Order # Save data as part of a User model (as part of Python/Django) fields = ('cardNo', 'cardExpiryDateMonth', 'cardExpiryDateYear', 'cardCCV') # Create fields

[ "30154302@cityofglacol.ac.uk" ]

30154302@cityofglacol.ac.uk

0a02cfb6413dbcd6b1100af6c17d4c6cfe17d441

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

f47ee0307ac50c7ebc241508e283965e38ccc6e3

[ "Apache-2.0" ]

permissive

itbj/ydk-py-samples

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refs/heads/master

2022-11-20T17:44:58.844428

2020-07-25T06:18:02

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#!/usr/bin/env python # # Copyright 2016 Cisco Systems, Inc. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. # """ Create configuration for model Cisco-IOS-XR-mpls-ldp-cfg. usage: nc-create-xr-mpls-ldp-cfg-10-ydk.py [-h] [-v] device positional arguments: device NETCONF device (ssh://user:password@host:port) optional arguments: -h, --help show this help message and exit -v, --verbose print debugging messages """ from argparse import ArgumentParser from urlparse import urlparse from ydk.services import CRUDService from ydk.providers import NetconfServiceProvider from ydk.models.cisco_ios_xr import Cisco_IOS_XR_mpls_ldp_cfg \ as xr_mpls_ldp_cfg import logging def config_mpls_ldp(mpls_ldp): """Add config data to mpls_ldp object.""" pass if __name__ == "__main__": """Execute main program.""" parser = ArgumentParser() parser.add_argument("-v", "--verbose", help="print debugging messages", action="store_true") parser.add_argument("device", help="NETCONF device (ssh://user:password@host:port)") args = parser.parse_args() device = urlparse(args.device) # log debug messages if verbose argument specified if args.verbose: logger = logging.getLogger("ydk") logger.setLevel(logging.INFO) handler = logging.StreamHandler() formatter = logging.Formatter(("%(asctime)s - %(name)s - " "%(levelname)s - %(message)s")) handler.setFormatter(formatter) logger.addHandler(handler) # create NETCONF provider provider = NetconfServiceProvider(address=device.hostname, port=device.port, username=device.username, password=device.password, protocol=device.scheme) # create CRUD service crud = CRUDService() mpls_ldp = xr_mpls_ldp_cfg.MplsLdp() # create object config_mpls_ldp(mpls_ldp) # add object configuration # create configuration on NETCONF device # crud.create(provider, mpls_ldp) exit() # End of script

[ "saalvare@cisco.com" ]

saalvare@cisco.com

f5aabf9374ec65309773370be3bd51e62c7c7c2f

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/venv/Lib/site-packages/cobra/modelimpl/l3ext/fabricextroutingpdef.py

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bkhoward/aciDOM

91b0406f00da7aac413a81c8db2129b4bfc5497b

f2674456ecb19cf7299ef0c5a0887560b8b315d0

refs/heads/master

2023-03-27T23:37:02.836904

2021-03-26T22:07:54

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# coding=UTF-8 # ********************************************************************** # Copyright (c) 2013-2020 Cisco Systems, Inc. All rights reserved # written by zen warriors, do not modify! # ********************************************************************** from cobra.mit.meta import ClassMeta from cobra.mit.meta import StatsClassMeta from cobra.mit.meta import CounterMeta from cobra.mit.meta import PropMeta from cobra.mit.meta import Category from cobra.mit.meta import SourceRelationMeta from cobra.mit.meta import NamedSourceRelationMeta from cobra.mit.meta import TargetRelationMeta from cobra.mit.meta import DeploymentPathMeta, DeploymentCategory from cobra.model.category import MoCategory, PropCategory, CounterCategory from cobra.mit.mo import Mo # ################################################## class FabricExtRoutingPDef(Mo): """ Mo doc not defined in techpub!!! """ meta = ClassMeta("cobra.model.l3ext.FabricExtRoutingPDef") meta.moClassName = "l3extFabricExtRoutingPDef" meta.rnFormat = "fabricExtRoutingP-%(name)s" meta.category = MoCategory.REGULAR meta.label = "Fabric External Routing Profile Definition" meta.writeAccessMask = 0x20000001 meta.readAccessMask = 0x20000001 meta.isDomainable = False meta.isReadOnly = True meta.isConfigurable = False meta.isDeletable = False meta.isContextRoot = False meta.childClasses.add("cobra.model.fault.Counts") meta.childClasses.add("cobra.model.health.Inst") meta.childClasses.add("cobra.model.fault.Delegate") meta.childClasses.add("cobra.model.l3ext.SubnetDef") meta.childNamesAndRnPrefix.append(("cobra.model.l3ext.SubnetDef", "extsubnet-")) meta.childNamesAndRnPrefix.append(("cobra.model.fault.Counts", "fltCnts")) meta.childNamesAndRnPrefix.append(("cobra.model.health.Inst", "health")) meta.childNamesAndRnPrefix.append(("cobra.model.fault.Delegate", "fd-")) meta.parentClasses.add("cobra.model.fv.FabricExtConnPDef") meta.superClasses.add("cobra.model.fabric.ProtoPol") meta.superClasses.add("cobra.model.fabric.L3ProtoPol") meta.superClasses.add("cobra.model.naming.NamedObject") meta.superClasses.add("cobra.model.pol.Obj") meta.superClasses.add("cobra.model.pol.Def") meta.superClasses.add("cobra.model.l3ext.AFabricExtRoutingP") meta.rnPrefixes = [ ('fabricExtRoutingP-', True), ] prop = PropMeta("str", "childAction", "childAction", 4, PropCategory.CHILD_ACTION) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("deleteAll", "deleteall", 16384) prop._addConstant("deleteNonPresent", "deletenonpresent", 8192) prop._addConstant("ignore", "ignore", 4096) meta.props.add("childAction", prop) prop = PropMeta("str", "descr", "descr", 5579, PropCategory.REGULAR) prop.label = "Description" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 128)] prop.regex = ['[a-zA-Z0-9\\!#$%()*,-./:;@ _{|}~?&+]+'] meta.props.add("descr", prop) prop = PropMeta("str", "dn", "dn", 1, PropCategory.DN) prop.label = "None" prop.isDn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("dn", prop) prop = PropMeta("str", "lcOwn", "lcOwn", 9, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "local" prop._addConstant("implicit", "implicit", 4) prop._addConstant("local", "local", 0) prop._addConstant("policy", "policy", 1) prop._addConstant("replica", "replica", 2) prop._addConstant("resolveOnBehalf", "resolvedonbehalf", 3) meta.props.add("lcOwn", prop) prop = PropMeta("str", "modTs", "modTs", 7, PropCategory.REGULAR) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop.defaultValue = 0 prop.defaultValueStr = "never" prop._addConstant("never", "never", 0) meta.props.add("modTs", prop) prop = PropMeta("str", "name", "name", 21428, PropCategory.REGULAR) prop.label = "Name" prop.isConfig = True prop.isAdmin = True prop.isCreateOnly = True prop.isNaming = True prop.range = [(1, 64)] prop.regex = ['[a-zA-Z0-9_.:-]+'] meta.props.add("name", prop) prop = PropMeta("str", "nameAlias", "nameAlias", 28417, PropCategory.REGULAR) prop.label = "Name alias" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 63)] prop.regex = ['[a-zA-Z0-9_.-]+'] meta.props.add("nameAlias", prop) prop = PropMeta("str", "ownerKey", "ownerKey", 15230, PropCategory.REGULAR) prop.label = "None" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 128)] prop.regex = ['[a-zA-Z0-9\\!#$%()*,-./:;@ _{|}~?&+]+'] meta.props.add("ownerKey", prop) prop = PropMeta("str", "ownerTag", "ownerTag", 15231, PropCategory.REGULAR) prop.label = "None" prop.isConfig = True prop.isAdmin = True prop.range = [(0, 64)] prop.regex = ['[a-zA-Z0-9\\!#$%()*,-./:;@ _{|}~?&+]+'] meta.props.add("ownerTag", prop) prop = PropMeta("str", "rn", "rn", 2, PropCategory.RN) prop.label = "None" prop.isRn = True prop.isImplicit = True prop.isAdmin = True prop.isCreateOnly = True meta.props.add("rn", prop) prop = PropMeta("str", "status", "status", 3, PropCategory.STATUS) prop.label = "None" prop.isImplicit = True prop.isAdmin = True prop._addConstant("created", "created", 2) prop._addConstant("deleted", "deleted", 8) prop._addConstant("modified", "modified", 4) meta.props.add("status", prop) meta.namingProps.append(getattr(meta.props, "name")) def __init__(self, parentMoOrDn, name, markDirty=True, **creationProps): namingVals = [name] Mo.__init__(self, parentMoOrDn, markDirty, *namingVals, **creationProps) # End of package file # ##################################################

[ "bkhoward@live.com" ]

bkhoward@live.com

5b9bb498f91537b40a96ded19b45ecbbc1ae5142

44699ef0c7016802e1b60458b78b7cce7d1bcb26

/applications/lrc/apps.py

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[]

no_license

bhdrkcr/django-login-register-crud

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3946a6b14835f393ab0fcc77ca815a337a0cfb1a

refs/heads/main

2023-08-13T20:06:11.947015

2021-10-18T13:05:46

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from django.apps import AppConfig class LrcConfig(AppConfig): default_auto_field = 'django.db.models.BigAutoField' name = 'lrc'

[ "bahadir2kacar@gmail.com" ]

bahadir2kacar@gmail.com

cebd8d83e32d5a6f2a3cff708a8e4da0c017e126

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/admin/user/views/admin.py

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[]

no_license

sclzzhanghaijun/django-cms

b79649129c1810259da6525121e0a597a61ac37b

ccb5363703d47f7bb721fdd12d8b8f7f84c8a220

refs/heads/master

2021-06-24T03:48:52.485657

2020-05-06T07:59:51

144,838,184

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2018-08-15T10:14:07

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# encoding=utf-8 from django.http import JsonResponse from django.shortcuts import render from django.db.models import Count from django.template.defaultfilters import date from admin.user.models import AdminUser from admin.utils.response import * from common.model.PAdminGroups import PAdminGroups from common.model.PAdminGroupsUser import PAdminGroupsUser from django.db import transaction from django.contrib.auth.hashers import make_password from admin.user.forms.Admin import * def admin_user(request): return render(request, 'admin/user/admin_user_list.html') def admin_user_list(request): page = int(request.GET['page']) limit = int(request.GET['limit']) nick_name = request.GET['nick_name'] phone = request.GET['phone'] user_id = request.GET['id'] gender = request.GET['gender'] where = { 'is_delete': 0 } if nick_name.strip() != '': where['nick_name'] = nick_name if phone != '': where['phone'] = phone if user_id != '': where['id'] = user_id if gender != '': where['gender'] = gender start_row = (page - 1) * limit end_row = start_row + limit count = AdminUser.objects.filter(**where).all().aggregate(count=Count('id')) data = AdminUser.objects.filter(**where).order_by('-id').values()[start_row:end_row] data = list(data) for items in data: items['last_login'] = date(items['last_login'], 'Y-m-d H:i:s') if items['gender'] == 'female': items['gender'] = '女' else: items['gender'] = '男' if items['is_active'] == 1: items['is_active'] = '启用' else: items['is_active'] = '禁用' if items['is_superuser'] == 1: items['is_superuser'] = '是' else: items['is_superuser'] = '否' return load_data(request, count['count'], data) def admin_user_detail(request): if request.method == "GET": user_id = int(request.GET['user_id']) else: user_id = int(request.POST['user_id']) if user_id <= 0: return error(request, u'用户ID有误') user_object = AdminUser.objects.filter(id=user_id, is_delete=0).get() if user_object is None: return error(request, u'用户不存在,用户ID有误') return render(request, 'admin/user/admin_user_detail.html', {'user_info': user_object}) def admin_user_edit(request): if request.method == "GET": user_id = int(request.GET['user_id']) else: user_id = int(request.POST['user_id']) if user_id <= 0: return error(request, u'用户ID有误') user_object = AdminUser.objects.filter(id=user_id, is_delete=0).get() if user_object is None: return error(request, u'用户不存在,用户ID有误') if request.is_ajax(): data = request.POST check_form = AdminEditForms(data) if check_form.is_valid(): admin = AdminUser.objects.get(id=data['user_id']) if data['user_id'] == 1: admin.first_name = data['first_name'] admin.last_name = data['last_name'] admin.email = data['email'] admin.nick_name = data['nick_name'] admin.gender = data['gender'] admin.address = data['address'] admin.phone = data['phone'] admin.birthday = data['birthday'] else: admin.first_name = data['first_name'] admin.last_name = data['last_name'] admin.email = data['email'] admin.nick_name = data['nick_name'] admin.gender = data['gender'] admin.address = data['address'] admin.phone = data['phone'] admin.birthday = data['birthday'] admin.is_staff = data['is_staff'] admin.is_active = data['is_active'] admin.is_superuser = data['is_superuser'] result = admin.save() if result is None: return success(request, u'修改用户信息成功') else: return error(request, u'修改用户信息失败') else: return error(request, check_form.errors) else: return render(request, 'admin/user/admin_user_edit.html', {'user_info': user_object}) @transaction.atomic def admin_user_add(request): where = { 'is_delete': 0, 'group_status': 0 } groupList = PAdminGroups.objects.filter(**where).all() if request.method == "POST": sid = transaction.savepoint() is_success = True try: data = request.POST check_form = AdminForms(data) if check_form.is_valid(): admin_id = AdminUser.objects.create( password=make_password(data['password']), is_superuser=data['is_superuser'], username=data['username'], first_name=data['first_name'], last_name=data['last_name'], email=data['email'], is_staff=data['is_staff'], is_active=data['is_active'], nick_name=data['nick_name'], gender=data['gender'], address=data['address'], phone=data['phone'], birthday=data['birthday'], ) result = PAdminGroupsUser.objects.create(group_id=data['group_id'], admin_id=admin_id.id) print(result) if result is None: is_success = False else: return error(request, check_form.errors) except Exception as e: is_success = False if is_success == True: transaction.savepoint_commit(sid) return success(request, u'添加成功') else: transaction.savepoint_rollback(sid) return error(request, u'添加失败') else: return render(request, 'admin/user/admin_user_add.html', {'groupList': groupList}) def admin_user_delete(request): user_id = int(request.POST['user_id']) if user_id <= 0: return error(request, u'用户ID有误') user_object = AdminUser.objects.filter(id=user_id, is_delete=0).get() if user_object is None: return error(request, u'用户不存在,用户ID有误') user_object.is_delete = 1 result = user_object.save() if result is None: return success(request, u'删除用户成功') else: return error(request, u'删除用户失败') def admin_user_change_password(request): if request.method == "GET": user_id = int(request.GET['user_id']) else: user_id = int(request.POST['user_id']) if user_id <= 0: return error(request, u'用户ID有误') user_object = AdminUser.objects.filter(id=user_id).get() if user_object is None: return error(request, u'用户不存在,用户ID有误') if request.is_ajax(): data = request.POST check_form = AdminChangePasswordForms(data) if check_form.is_valid(): user = AdminUser.objects.get(id=data['user_id']) user.set_password(data['password']) result = user.save() if result is None: return success(request, u'修改密码成功') else: return error(request, u'修改密码失败') else: return error(request, check_form.errors) else: return render(request, 'admin/user/admin_user_change_password.html', {'user_info': user_object})

[ "7192185@qq.com" ]

7192185@qq.com

bda7024b5797dc2379f63fc15bb68ec054bc7343

fb20331d30b1ea399d5b2144cdacd0954f625eb1

/udemy_courses/The_Ultimate_Flask_Course/19.Flask-Security/app.py

50fcd7d0c8deb6dc1cf8884bfb6c4b1ed6be197a

[]

no_license

foxcodenine/tutorials

df2303568bcca9f3619c7625481b4681ebf895e2

42e53a2fbbadd915f14a4f962a9c4c38b7a23e39

refs/heads/master

2023-08-30T11:35:11.339853

2023-08-28T14:05:05

206,948,465

0

null

2023-03-15T10:05:49

2019-09-07T09:52:12

PHP

UTF-8

Python

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py

# https://pythonhosted.org/Flask-Security/quickstart.html # ______________________________________________________________________ from flask import Flask from flask_sqlalchemy import SQLAlchemy from flask_security import Security, SQLAlchemyUserDatastore, UserMixin, \ RoleMixin, login_required, login_required, current_user, roles_accepted, \ roles_required, http_auth_required from uuid import uuid4 from flask_mail import Mail from flask_security.forms import RegisterForm, ConfirmRegisterForm, SendConfirmationForm from wtforms import StringField, IntegerField from wtforms.validators import InputRequired # ______________________________________________________________________ app = Flask(__name__) app.config['DEBUG'] = True app.config['SECRET_KEY'] = uuid4().hex app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///p:/Projects/tutorials/Udemy/The Ultimate Flask Course/19.Flask-Security/security.db' # app.config['SQLALCHEMY_DATABASE_URI']='sqlite:////mnt/d/Projects/tutorials/Udemy/The Ultimate Flask Course/19.Flask-Security/security.db' # This is used to access the registry page: http://127.0.0.1:5000/register app.config['SECURITY_REGISTERABLE'] = True # This is used to register: app.config['SECURITY_PASSWORD_SALT'] = 'This_is_a_secret' # to remove the error: AttributeError: 'NoneType' object has no attribute 'send' # since email is not setup yet # app.config['SECURITY_SEND_REGISTER_EMAIL'] = False app.config['SECURITY_SEND_REGISTER_EMAIL'] = True # This is used to allow the reset password page: http://127.0.0.1:5000/reset app.config['SECURITY_RECOVERABLE'] = True # This is used to allow the change password page: http://127.0.0.1:5000/change app.config['SECURITY_CHANGEABLE'] = True # This is used to redirect to this route after chnage pass, change it to try: app.config['SECURITY_POST_CHANGE_VIEW'] = 'pass_changed' # to remove the error: AttributeError: 'NoneType' object has no attribute 'send' # since email is not setup yet app.config['SECURITY_SEND_PASSWORD_CHANGE_EMAIL'] = False # This is to send a confermation email: app.config['SECURITY_CONFIRMABLE'] = True # rediredting to this url after selecting the confirm link in email: app.config['SECURITY_POST_CONFIRM_VIEW'] = '/confirmed' app.config.update( MAIL_SERVER = 'smtp.gmail.com', MAIL_USERNAME = 'farrugiachris12@gmail.com', MAIL_PASSWORD = 'orange-6', MAIL_DEFAULT_SENDER = ('Chris from flask-mail','no-reply@example.com'), MAIL_PORT = 465, MAIL_USE_TLS = False, MAIL_USE_SSL = True ) # app.config['SECURITY_EMAIL_SENDER'] = 'farrugiachris12@gmail.com' # app.config['SECURITY_EMAIL_SENDER'] = 'chrismariojimmy@yahoo.com' # custimize subject app.config['SECURITY_EMAIL_SUBJECT_REGISTER'] = 'This is a custimized Welcome ;)' # as name sugest: app.config['SECURITY_EMAIL_PLAINTEXT'] = True app.config['SECURITY_EMAIL_HTML'] = False db = SQLAlchemy(app) mail = Mail(app) # ______________________________________________________________________ roles_users = db.Table('roles_users', db.Column('user_id', db.Integer(), db.ForeignKey('user.id')), db.Column('role_id', db.Integer(), db.ForeignKey('role.id'))) class Role(db.Model, RoleMixin): id = db.Column(db.Integer(), primary_key=True) name = db.Column(db.String(80), unique=True) description = db.Column(db.String(255)) class User(db.Model, UserMixin): id = db.Column(db.Integer, primary_key=True) email = db.Column(db.String(255), unique=True) password = db.Column(db.String(255)) name = db.Column(db.String(255)) age = db.Column(db.Integer) active = db.Column(db.Boolean()) confirmed_at = db.Column(db.DateTime()) roles = db.relationship('Role', secondary=roles_users, backref=db.backref('users', lazy='dynamic')) # We have added two field to the default db ,name and age. # Here we are extending the form field from the defaul RegisterForm. # To know which form to extend from you need to check form.py from github # or localy from your site-packages folder (check ref (D) below for path). # The process is similar to flask-wdt forms. class ExtendedRegisterForm(ConfirmRegisterForm): name = StringField('Fullname', validators=[InputRequired()]) age = IntegerField('Age') # the above woulden't work so i have edit the forms.py in my localy # site-packages folder at flask-secrity (check ref (D) below for path). # I have marke it with the following text: ''' I have edited this Class and I have added this Class''' # have copyed the forms.py to this dir for ref. # ______________________________________________________________________ user_datastore = SQLAlchemyUserDatastore(db, User, Role) security = Security(app, user_datastore, register_form=ExtendedRegisterForm) #<-- (F) # you need to register and new form here (F) register_form=ExtendedRegisterForm # ______________________________________________________________________ @app.route('/pass_changed') def pass_changed(): return '<h2>Password change successfully!</h2>' # ___________________________ @app.route('/') def index(): return '<h2>home page</h2>' # ___________________________ @app.route('/protected') @login_required def protected(): return '<h2>This is protected! You email is {}.</h2>'.format(current_user.email) # ___________________________ @app.route('/roleprotected') @roles_accepted('admin') def roleprotected(): return '<h2>This is for admin only!</h2>' # ___________________________ @app.route('/set_admin') @login_required def set_admin(): # finding or creating a role (this case 'admin') admin_role = user_datastore.find_or_create_role('admin') # assigning the admin_role to current_user user_datastore.add_role_to_user(current_user, admin_role) db.session.commit() return '<h2>User have Admin right!</h2>' # ___________________________ @app.route('/remove_admin') @login_required def remove_admin(): # finding or creating a role (this case 'admin') admin_role = user_datastore.find_or_create_role('admin') # assigning the admin_role to current_user user_datastore.remove_role_from_user(current_user, admin_role) db.session.commit() return '<h2>Admin right, has been removed!</h2>' @app.route('/confirmed') @login_required def confirm(): return "<h3>{} is confirmed</h3>".format(current_user.email) @app.route('/httpprotected') @http_auth_required def httpprotected(): return '<h2>This is the basic auth page!</h2>' # ______________________________________________________________________ # try the following url from : # https://pythonhosted.org/Flask-Security/configuration.html # URLs and Views # http://127.0.0.1:5000/login # http://127.0.0.1:5000/register # <-- need to add config ''' chris@gmail.com password2 maria@gmail.com password1 ''' # ______________________________________________________________________ # ref (D) # To Customize the templates # the below code with print the flask-user directory # copy the form template file to your app directory # note the directory from your app to template should match that of the package # modifiy the copyed template (not the original package one) import os import flask_mail print('\n>>>>>>>> >>',os.path.dirname(flask_mail.__file__)) #_______________________________________________________________________ if __name__ == '__main__': app.run()

[ "foxcode9@gmail.com" ]

foxcode9@gmail.com

6f57674b84d834b2a35358c52c7a457d5431dd13

0bd5a4b07572c46e2a4a59f977c5d80f8bc884b8

/spectrl/main/monitor.py

dc869d043a0731bf76d5f01bb525dde9cc5ce64d

[]

no_license

cwatson1998/spectrl_tool_perspectrl

ab5536d191f612891ea30edba31a4a4833d2b84a

1ec9cead048bbf0932a64c95ad129585e6dd7b2c

refs/heads/master

2023-03-20T05:55:17.802313

2020-11-23T18:27:21

null

0

null

UTF-8

Python

false

8,280

py

import numpy as np import math # Model for resources class Resource_Model: # state_dim : int # action_dim : int # res_dim : int # res_init : np.array(res_dim) # res_delta : np.array(state_dim), np.array(res_dim), np.array(action_dim) -> np.array(res_dim) def __init__(self, state_dim, action_dim, res_dim, res_init, res_delta): self.state_dim = state_dim self.action_dim = action_dim self.res_dim = res_dim self.res_init = res_init self.res_delta = res_delta # ================================================================================================== # Class for representing monitors class Monitor_Automaton: # n_states : int # n_registers : int # input_dim : int (state_dim + res_dim) # init_registers : np.array(n_registers) # transitions : adjacency list of transitions of the form (q,p,u) where, # q : int (monitor state) # p : np.array(input_dim) , np.array(n_registers) -> (Bool,Float {quant. sym.}) # u : np.array(input_dim) , np.array(n_registers) -> np.array(n_registers) # rewards : list of n_states reward functions for final states (others are None) # rewards[i] : np.array(input_dim) , np.array(n_registers) -> Float def __init__(self, n_states, n_registers, input_dim, init_registers, transitions, rewards): self.n_states = n_states self.n_registers = n_registers self.input_dim = input_dim self.init_registers = init_registers self.transitions = transitions self.rewards = rewards # ================================================================================================== # Useful functions on monitors def find_state_depths(monitor): depths = [0] * monitor.n_states incoming = [0] * monitor.n_states for q1 in range(monitor.n_states): for (q2, _, _) in monitor.transitions[q1]: if q1 != q2: incoming[q2] += 1 topo_sort = [] for q in range(monitor.n_states): if incoming[q] == 0: topo_sort.append(q) depths[q] = 0 for i in range(monitor.n_states): for (q, _, _) in monitor.transitions[topo_sort[i]]: if q != topo_sort[i]: incoming[q] -= 1 depths[q] = max(depths[q], depths[topo_sort[i]]+1) if incoming[q] == 0: topo_sort.append(q) return depths # ================================================================================================== # Compiled Specification consisting of resource model and reward monitor. class Compiled_Spec: # resource : Resource_Model # monitor : Monitor_Automaton # min_reward : float # local_reward_bound : float (C) def __init__(self, resource, monitor, min_reward, local_reward_bound): self.state_dim = resource.state_dim self.action_dim = resource.action_dim # Resource self.resource = resource # Monitor self.monitor = monitor self.extra_action_dim = max(map(len, self.monitor.transitions)) self.depths = find_state_depths(self.monitor) self.max_depth = max(self.depths) # Product MDP self.total_state_dim = self.state_dim + self.resource.res_dim + self.monitor.n_registers self.total_action_dim = self.action_dim + self.extra_action_dim self.min_reward = min_reward self.local_reward_bound = local_reward_bound self.register_split = self.state_dim + self.resource.res_dim # Extract state components # state : (np.array(total_state_dim), int) def extract_state_components(self, state): sys_state = state[0][:self.state_dim] res_state = state[0][self.state_dim:self.register_split] register_state = state[0][self.register_split:] monitor_state = state[1] return sys_state, res_state, register_state, monitor_state # Step function for Resource, Monitor state and Registers # state : (np.array(total_state_dim), int) # action : np.array(total_action_dim) or np.array(action_dim) # return value : (np.array(resource.res_dim + monitor.n_registers), int) def extra_step(self, state, action): sys_state, res_state, register_state, monitor_state = self.extract_state_components(state) sys_action = action[:self.action_dim] # Step the Resource state new_res_state = np.array([]) if self.resource.res_dim > 0: new_res_state = self.resource.res_delta(sys_state, res_state, sys_action) # Step the Monitor and Register state # Assumes at-least one predicate of the outgoing edges will be satisfied # start with an edge and explore to find the edge that is feasible edge = 0 if len(action) < self.total_action_dim: q, _, _ = self.monitor.transitions[monitor_state][0] if q == monitor_state: edge = 1 else: edge = 0 else: mon_action = action[self.action_dim:] edge = np.argmax(mon_action[:len(self.monitor.transitions[monitor_state])]) outgoing_transitions = self.monitor.transitions[monitor_state] sys_res_state = np.concatenate([sys_state, res_state]) for i in range(len(outgoing_transitions)): (q, p, u) = outgoing_transitions[(i+edge) % len(outgoing_transitions)] satisfied, _ = p(sys_res_state, register_state) if satisfied: new_register_state = u(sys_res_state, register_state) return (np.concatenate([new_res_state, new_register_state]), q) # Initial values of the extra state space # return value : np.array(resource.res_dim + monitor.n_registers) def init_extra_state(self): return np.concatenate([self.resource.res_init, self.monitor.init_registers]) # Shaped reward for a state # sys_res_state : np.array(state_dim + resource.res_dim) # monitor_state : int # register_state : np.array(monitor.n_registers) def shaped_reward(self, sys_res_state, register_state, monitor_state): rew = -10000000 for (q, p, u) in self.monitor.transitions[monitor_state]: if q == monitor_state: continue _, edge_rew = p(sys_res_state, register_state) rew = max(rew, edge_rew) return self.min_reward \ + rew \ + (self.local_reward_bound) * (self.depths[monitor_state] - self.max_depth) # Cumulative reward for a rollout (shaped) # rollout : [(np.array, int)] def cum_reward_shaped(self, rollout): last_state = rollout[len(rollout)-1] # Final State if self.monitor.rewards[last_state[1]] is not None: (last_sys_state, last_res_state, last_register_state, last_monitor_state) = self.extract_state_components(last_state) last_sys_res_state = np.concatenate([last_sys_state, last_res_state]) return self.monitor.rewards[last_monitor_state](last_sys_res_state, last_register_state) # Non-final state rew = -10000000 for state in rollout: if(state[1] == last_state[1]): (sys_state, res_state, register_state, monitor_state) = self.extract_state_components(state) sys_res_state = np.concatenate([sys_state, res_state]) rew = max(rew, self.shaped_reward(sys_res_state, register_state, monitor_state)) return rew # Cumulative reward for a rollout (unshaped) # rollout : [(np.array, int)] def cum_reward_unshaped(self, rollout): last_state = rollout[len(rollout)-1] # Final State if self.monitor.rewards[last_state[1]] is not None: (last_sys_state, last_res_state, last_register_state, last_monitor_state) = self.extract_state_components(last_state) last_sys_res_state = np.concatenate([last_sys_state, last_res_state]) return self.monitor.rewards[last_monitor_state](last_sys_res_state, last_register_state) # Non-final state return self.min_reward - self.local_reward_bound

[ "kishor@seas.upenn.edu" ]

kishor@seas.upenn.edu

a8546ea2c42ef57ff411bc805a8f02cf11015ab4

2e874bf8ac9544cb07bbb8b558d0a556b8668d1a

/chatbotone/chatbotapp/arduino.py

dfd505fd2a905f0f5e30b9b249e2745b0d10f74c

[]

no_license

gatewaymanish/IoT-chatbot

69d89d49234576d06a193c469b32f93a341456e1

2707e5bfa81557e1a37a4fb23d73cce476e6c171

refs/heads/master

2020-06-10T00:51:40.723652

2016-12-11T05:32:09

76,108,897

0

null

UTF-8

Python

false

13,137

py

#!/usr/bin/python # -*- coding: utf-8 -*- # # Copyright 2011 Alejandro Gonzalez Barrera <alejandrok5@gmail.com> # More info: http://alejandrok5.wordpress.com/ # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License # along with this program; if not, write to the Free Software # Foundation, Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 # USA from threading import Thread from firmata import * from django.shortcuts import get_object_or_404, render_to_response from django.http import HttpResponseRedirect, HttpResponse from django.core.urlresolvers import reverse from django.template import RequestContext a = Arduino('/dev/ttyACM0') a.pin_mode(13, firmata.OUTPUT) def dot(): a.digital_write(13, firmata.HIGH) a.delay(0.5) a.digital_write(13, firmata.LOW) a.delay(0.5) def slash(): a.digital_write(13, firmata.HIGH) a.delay(1.5) a.digital_write(13, firmata.LOW) a.delay(0.5) def spaceL(): a.delay(1) def spaceW(): a.delay(4) # # # class ArduinoMorse (Thread): # def __init__(self, text): # Thread.__init__(self) # self.text=text # # def run(self): # for x in self.text : # if x=='a' or x=='A': # dot() # slash() # spaceL() # elif x=='b' or x=='B': # slash() # dot() # dot() # dot() # spaceL() # elif x=='c' or x=='C': # slash() # dot() # slash() # dot() # spaceL() # elif x=='d' or x=='D': # slash() # dot() # dot() # spaceL() # elif x=='e' or x=='E': # dot() # spaceL() # elif x=='f' or x=='F': # dot() # dot() # slash() # dot() # spaceL() # elif x=='g' or x=='G': # slash() # slash() # dot() # spaceL() # elif x=='h' or x=='H': # dot() # dot() # dot() # dot() # spaceL() # elif x=='i' or x=='I': # dot() # dot() # spaceL() # elif x=='j' or x=='J': # dot() # slash() # slash() # slash() # spaceL() # elif x=='k' or x=='K': # slash() # dot() # slash() # spaceL() # elif x=='l' or x=='L': # dot() # slash() # dot() # dot() # spaceL() # elif x=='m' or x=='M': # slash() # slash() # spaceL() # elif x=='n' or x=='N': # slash() # dot() # spaceL() # # elif x=='ñ' or x=='Ñ': # # slash() # # slash() # # dot() # # slash() # # slash() # # spaceL() # elif x=='o' or x=='O': # slash() # slash() # slash() # spaceL() # elif x=='p' or x=='P': # dot() # slash() # slash() # dot() # spaceL() # elif x=='q' or x=='Q': # slash() # slash() # dot() # slash() # slash() # spaceL() # elif x=='r' or x=='R': # dot() # slash() # dot() # spaceL() # elif x=='s' or x=='S': # dot() # dot() # dot() # spaceL() # elif x=='t' or x=='T': # slash() # spaceL() # elif x=='u' or x=='U': # dot() # dot() # slash() # spaceL() # elif x=='v' or x=='V': # dot() # dot() # dot() # slash() # spaceL() # elif x=='w' or x=='W': # dot() # slash() # slash() # spaceL() # elif x=='x' or x=='X': # slash() # dot() # dot() # slash() # spaceL() # elif x=='y' or x=='Y': # slash() # dot() # slash() # slash() # spaceL() # elif x=='z' or x=='Z': # slash() # slash() # dot() # dot() # spaceL() # elif x=='0': # slash() # slash() # slash() # slash() # slash() # spaceL() # elif x=='1': # dot() # slash() # slash() # slash() # slash() # spaceL() # elif x=='2': # dot() # dot() # slash() # slash() # slash() # spaceL() # elif x=='3': # dot() # dot() # dot() # slash() # slash() # spaceL() # elif x=='4': # dot() # dot() # dot() # dot() # slash() # spaceL() # elif x=='5': # dot() # dot() # dot() # dot() # dot() # spaceL() # elif x=='6': # slash() # dot() # dot() # dot() # dot() # spaceL() # elif x=='7': # slash() # slash() # dot() # dot() # dot() # spaceL() # elif x=='8': # slash() # slash() # slash() # dot() # dot() # spaceL() # elif x=='9': # slash() # slash() # slash() # slash() # dot() # spaceL() # elif x=='.': # dot() # slash() # dot() # slash() # dot() # slash() # spaceL() # elif x==',': # slash() # slash() # dot() # dot() # slash() # slash() # spaceL() # elif x=='?': # dot() # dot() # slash() # slash() # dot() # dot() # spaceL() # elif x=='"': # dot() # slash() # dot() # dot() # slash() # dot() # spaceL() # elif x==' ': # spaceW() # else: # pass # # def encode(request): # text="" # morse=[] # if request.method == 'GET': # # form = SearchForm(request.GET) # if form.is_valid(): # text = form.cleaned_data['text'] # arduino=ArduinoMorse(text) # arduino.start() # for x in text : # if x=='a' or x=='A': # morse.append('.-') # elif x=='b' or x=='B': # morse.append('-...') # elif x=='c' or x=='C': # morse.append('-.-.') # elif x=='d' or x=='D': # morse.append('-..') # elif x=='e' or x=='E': # morse.append('.') # elif x=='f' or x=='F': # morse.append('..-.') # elif x=='g' or x=='G': # morse.append('--.') # elif x=='h' or x=='H': # morse.append('....') # elif x=='i' or x=='I': # morse.append('..') # elif x=='j' or x=='J': # morse.append('.---') # elif x=='k' or x=='K': # morse.append('-.-') # elif x=='l' or x=='L': # morse.append('.-..') # elif x=='m' or x=='M': # morse.append('--') # elif x=='n' or x=='N': # morse.append('-.') # # elif x=='ñ' or x=='Ñ': # # morse.append('--.--') # elif x=='o' or x=='O': # morse.append('---') # elif x=='p' or x=='P': # morse.append('.--.') # elif x=='q' or x=='Q': # morse.append('--.--') # elif x=='r' or x=='R': # morse.append('.-.') # elif x=='s' or x=='S': # morse.append('...') # elif x=='t' or x=='T': # morse.append('-') # elif x=='u' or x=='U': # morse.append('..-') # elif x=='v' or x=='V': # morse.append('...-') # elif x=='w' or x=='W': # morse.append('.--') # elif x=='x' or x=='X': # morse.append('-..-') # elif x=='y' or x=='Y': # morse.append('-.--') # elif x=='z' or x=='Z': # morse.append('--..') # elif x=='0': # morse.append('-----') # elif x=='1': # morse.append('.----') # elif x=='2': # morse.append('..---') # elif x=='3': # morse.append('...--') # elif x=='4': # morse.append('....-') # elif x=='5': # morse.append('.....') # elif x=='6': # morse.append('-....') # elif x=='7': # morse.append('--...') # elif x=='8': # morse.append('---..') # elif x=='9': # morse.append('----.') # elif x=='.': # morse.append('.-.-.-') # elif x==',': # morse.append('--..--') # elif x=='?': # morse.append('..--..') # elif x=='"': # morse.append('.-..-.') # elif x==' ': # morse.append(' ') # else: # queryset = [] # # return render_to_response("arduino/index.html", {'form': form, "text": text, "morse": morse})

[ "noreply@github.com" ]

gatewaymanish.noreply@github.com

b6660d915273e2f398c49fd544f4f23936194228

a701b754dc5cd6abc761107d4013e97d13b5a2f0

/Pizza_Ordering_Api/orders.py

97ccaba4b53b36d82acfbe16556a3c48fe443d09

[]

no_license

yholub/Pizza_Ordering_Microservices

669206be73190fa6e15fa26110942b58b4d97bc5

36f0dbea63f72c429b9437d531a2ab449a2b4052

refs/heads/master

2021-08-19T01:47:01.607283

2017-11-24T11:40:12

111,858,905

0

null

UTF-8

Python

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6,870

py

"""API regarding orders""" from flask import Flask, Blueprint, render_template, json, request, current_app, jsonify from models import * import sqlalchemy orders = Blueprint('orders', __name__) @orders.route('/api/Order/GetCurrent', methods=['GET']) def getCurrent(): db = current_app.config["db"] id = db.session.query(PizzaHouse).filter(PizzaHouse.ModeratorId == 1).first().Id query_modified = db.session\ .query(OrderItem)\ .filter(OrderItem.Order.has(PizzaHouseId=id))\ .filter(sqlalchemy.not_(OrderItem.Order.has(Status=4)))\ .filter(OrderItem.IsModified == True) fixed_query = db.session\ .query(OrderItem, FixPizza)\ .filter(OrderItem.PizzaId == FixPizza.Id)\ .filter(OrderItem.Order.has(PizzaHouseId=id))\ .filter(sqlalchemy.not_(OrderItem.Order.has(Status=4)))\ .filter(OrderItem.IsModified == False) fixed = [GetOrderViewModel(item, pizza) for item, pizza in fixed_query] modified = [GetOrderViewModel(x) for x in query_modified] res = fixed + modified return jsonify(res) @orders.route('/api/Order/GetNew', methods=['GET']) def getNew(): db = current_app.config["db"] id = db.session.query(PizzaHouse).filter(PizzaHouse.ModeratorId == 1).first().Id query_modified = db.session\ .query(OrderItem)\ .filter(OrderItem.Order.has(PizzaHouseId=id))\ .filter(OrderItem.Order.has(Status=0))\ .filter(OrderItem.IsModified == True) fixed_query = db.session\ .query(OrderItem, FixPizza)\ .filter(OrderItem.PizzaId == FixPizza.Id)\ .filter(OrderItem.Order.has(PizzaHouseId=id))\ .filter(OrderItem.Order.has(Status=0))\ .filter(OrderItem.IsModified == False) fixed = [GetOrderViewModel(item, pizza) for item, pizza in fixed_query] modified = [GetOrderViewModel(x) for x in query_modified] res = fixed + modified return jsonify(res) @orders.route('/api/settings', methods=['GET']) def getSettings(): db = current_app.config["db"] house = db.session.query(PizzaHouse).filter(PizzaHouse.ModeratorId == 1).first() in_stock_query = db.session\ .query(IngredientAmount)\ .filter(IngredientAmount.PizzaHouseId == house.Id) in_stock = [GetIngredientQuantityDto(item) for item in in_stock_query] res = GetSettingsModel(house) res["InStock"] = in_stock return jsonify(res) @orders.route('/api/pizza', methods=['GET']) def getPizzaHouses(): db = current_app.config["db"] return jsonify(getAllPizzaHouses(db.session)) @orders.route('/api/pizza', methods=['POST']) def getApropriatePizzaHouses(): db = current_app.config["db"] order_settings = request.get_json() houses = getAllPizzaHouses(db.session) ing_counts = {} for item in order_settings["orderItems"]: for ing in item["ingredients"]: id = ing["id"] if id in ing_counts: ing_counts[id] = ing_counts[id] + ing["count"] else: ing_counts[id] = ing["count"] return jsonify([house for house in houses if filterPizzaHouses(house, ing_counts)]) @orders.route('/api/settings', methods=['POST']) def postSettings(): house_settings = request.get_json() db = current_app.config["db"] house = db.session.query(PizzaHouse).get(house_settings["PizzaHouseId"]) house.Capacity = house_settings["Capacity"] ing_quantity_dict = {} for quantity in house_settings["IngState"]: item = db.session\ .query(Ingredient, IngredientAmount)\ .filter(sqlalchemy.and_(Ingredient.Id == quantity["Id"], IngredientAmount.PizzaHouseId == house.Id, IngredientAmount.IngredientId == Ingredient.Id))\ .first() if item is None: ing_qu = IngredientAmount() ing_qu.IngredientId = quantity["Id"] ing_qu.PizzaHouseId = house.Id ing_qu.Quantity = quantity["Quantity"] db.session.add(ing_qu) else: item.IngredientAmount.Quantity = quantity["Quantity"] ing_quantity_dict[quantity["Id"]] = quantity["Quantity"] db.session.commit() return jsonify({ 'status' : "success" }) @orders.route('/api/order/accept/<id>', methods=['POST']) def acceptOrder(id): db = current_app.config["db"] order = db.session.query(Order).filter(Order.Id == id).first() if order.Status == 0: order.Status = 1 db.session.commit() return json.dumps({'success':True}), 200, {'ContentType':'application/json'} @orders.route('/api/order/reject/<id>', methods=['POST']) def rejectOrder(id): db = current_app.config["db"] order = session.query(Order).filter(Order.Id == id).first() order.Status = 4 session.commit() return json.dumps({'success':True}), 200, {'ContentType':'application/json'} def GetSettingsModel(item): res = { 'Id': item.Id, 'Close': 24, 'Open': 9, 'Capacity': item.Capacity } return res def GetOrderViewModel(item, pizza=None): res = {} res['Id'] = item.Id res['State'] = item.Order.Status res['Start'] = item.StartTime res['End'] = item.EndTime res['OrderId'] = item.OrderId res['Price'] = int(item.Price) res['StartStr'] = item.StartTime.strftime("%Y-%m-%d") res['EndStr'] = item.EndTime.strftime("%Y-%m-%d") res['StHour'] = item.StartTime.hour res['StMinute'] = item.StartTime.minute res['EndHour'] = item.EndTime.hour res['EndMinute'] = item.EndTime.minute if pizza is None: res['Name'] = "Custom" else: res['Name'] = pizza.Name return res def GetIngredientDto(item): res = {} res['Id'] = item.Id res['Price'] = float(item.Price) res['Weight'] = float(item.Weight) res['Name'] = item.Name return res def GetIngredientQuantityDto(item): res = {} res['Quantity'] = item.Quantity res['IngredientDto'] = GetIngredientDto(item.Ingredient) return res def getAllPizzaHouses(session): houses = session.query(PizzaHouse) res = [] for house in houses: in_stock_query = session\ .query(IngredientAmount)\ .filter(IngredientAmount.PizzaHouseId == house.Id) in_stock = [GetIngredientQuantityDto(item) for item in in_stock_query] res.append(GetSettingsModel(house)) res[len(res) - 1]["InStock"] = in_stock return res def filterPizzaHouses(house, ingCounts): house_ing_count = {} for ing in house["InStock"]: house_ing_count[ing["IngredientDto"]["Id"]] = ing["Quantity"] for key, value in ingCounts.items(): if (not key in house_ing_count) or house_ing_count[key] < value: return False return True

[ "jgolub5162@gmail.com" ]

jgolub5162@gmail.com

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aab7639fdca115185675c3bceb13fb3cb1d58e62

/Array/34. Search for a Range(medium).py

66165b9b27e49f2db9b340f0e48bf42d815ce714

[]

no_license

xilixjd/leetcode

0cfc9c32e790e88084e484c369d450fb4619c52c

71a02a2c6bc12e86119502c9c4a4b2047b9f3966

refs/heads/master

2021-01-19T15:46:26.554583

2018-06-02T05:22:31

88,227,638

1

0

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py

# -*- coding: utf-8 -*- ''' Given an array of integers sorted in ascending order, find the starting and ending position of a given target value. Your algorithm's runtime complexity must be in the order of O(log n). If the target is not found in the array, return [-1, -1]. For example, Given [5, 7, 7, 8, 8, 10] and target value 8, return [3, 4]. ''' class ReSolution(object): def searchRange1(self, nums, target): """ :type nums: List[int] :type target: int :rtype: List[int] """ def front_binary_search(nums, target): low = 0 high = len(nums) - 1 index = -1 while low <= high: mid = (low + high) / 2 if nums[mid] >= target: high = mid - 1 else: low = mid + 1 if target == nums[mid]: index = mid return index def back_binary_search(nums, target): low = 0 high = len(nums) - 1 index = -1 while low <= high: mid = (low + high) / 2 if nums[mid] > target: high = mid - 1 elif nums[mid] <= target: low = mid + 1 if nums[mid] == target: index = mid return index return [front_binary_search(nums, target), back_binary_search(nums, target)] re = ReSolution() print re.searchRange1([1, 2, 3, 4, 5, 8, 19], 8) class Solution(object): def searchRange1(self, nums, target): """ :type nums: List[int] :type target: int :rtype: List[int] https://yq.aliyun.com/articles/860 1. 不用二分法 """ l = 0 r = len(nums) - 1 if len(nums) == 0: return [-1, -1] if len(nums) == 1: if nums[0] == target: return [0, 0] else: return [-1, -1] while l < r: if nums[l] < target: l += 1 if nums[r] > target: r -= 1 if nums[l] == target and nums[r] == target: return [l, r] return [-1, -1] def searchRange2(self, nums, target): ''' 2. 用二分法可参考《剑指 offer》的 p205 :param nums: :param target: :return: ''' first = self.binarySearchFirst(nums, target) last = self.binarySearchLast(nums, target) return [first, last] def binarySearchFirst(self, nums, target): start = 0 end = len(nums) - 1 idx = -1 while start <= end: mid = (start + end) / 2 if target > nums[mid]: start = mid + 1 else: end = mid - 1 if nums[mid] == target: idx = mid return idx def binarySearchLast(self, nums, target): start = 0 end = len(nums) - 1 idx = -1 while start <= end: mid = (start + end) / 2 if target >= nums[mid]: start = mid + 1 else: end = mid - 1 if nums[mid] == target: idx = mid return idx def binarySearch(self, i, j, nums, target): mid = (i + j) / 2 if mid < 0: return -1 if mid != 0 and mid + 1 > j: return -1 if nums[mid] > target: return self.binarySearch(i, mid - 1, nums, target) elif nums[mid] < target: return self.binarySearch(mid + 1, j, nums, target) else: return mid solu = Solution() print solu.searchRange1([1], 1) print solu.binarySearch(0, 0, [1], 1)

[ "349729220@qq.com" ]

349729220@qq.com

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/pcat2py/class/211e063a-5cc5-11e4-af55-00155d01fe08.py

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[ "MIT" ]

permissive

phnomcobra/PCAT2PY

dc2fcbee142ce442e53da08476bfe4e68619346d

937c3b365cdc5ac69b78f59070be0a21bdb53db0

refs/heads/master

2021-01-11T02:23:30.669168

2018-02-13T17:04:03

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py

#!/usr/bin/python ################################################################################ # 211e063a-5cc5-11e4-af55-00155d01fe08 # # Justin Dierking # justindierking@hardbitsolutions.com # phnomcobra@gmail.com # # 10/24/2014 Original Construction ################################################################################ class Finding: def __init__(self): self.output = [] self.is_compliant = False self.uuid = "211e063a-5cc5-11e4-af55-00155d01fe08" def check(self, cli): # Initialize Compliance self.is_compliant = False # Get Registry DWORD dword = cli.get_reg_dword(r'HKCU:\Software\Policies\Microsoft\Office\14.0\outlook\security', 'AllowActiveXOneOffForms') # Output Lines self.output = [r'HKCU:\Software\Policies\Microsoft\Office\14.0\outlook\security', ('AllowActiveXOneOffForms=' + str(dword))] if dword == 0: self.is_compliant = True return self.is_compliant def fix(self, cli): cli.powershell(r"New-Item -path 'HKCU:\Software\Policies\Microsoft\Office\14.0'") cli.powershell(r"New-Item -path 'HKCU:\Software\Policies\Microsoft\Office\14.0\outlook'") cli.powershell(r"New-Item -path 'HKCU:\Software\Policies\Microsoft\Office\14.0\outlook\security'") cli.powershell(r"Set-ItemProperty -path 'HKCU:\Software\Policies\Microsoft\Office\14.0\outlook\security' -name 'AllowActiveXOneOffForms' -value 0 -Type DWord")

[ "phnomcobra@gmail.com" ]

phnomcobra@gmail.com

c8bfea854904c45f654a86b7234e035082db8596

cd593ad87b214afd37560aa3779454f58696a60c

/i3_hooked_on_a_feeling/.config/qutebrowser/config.py

82993ac8a41699dea08d185675ff6d961d6b4bc6

[ "MIT" ]

permissive

timbury/dotfiles_ikigai

e4fa62e1911233720f1a80fd425f9bda8b08df54

2a25883281e21025d7b6219a1512a7f7bf7703e3

refs/heads/master

2020-06-01T11:43:18.738611

2019-01-20T05:09:29

null

0

null

UTF-8

Python

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3,291

py

# Autogenerated config.py # Documentation: # qute://help/configuring.html # qute://help/settings.html # Uncomment this to still load settings configured via autoconfig.yml # config.load_autoconfig() # set custom theme c.content.user_stylesheets = str(config.configdir) + '/inspected_css/drac.css' config.bind(';p' , 'set downloads.location.directory ~/Pictures/ ;; hint links download') # Aliases for commands. The keys of the given dictionary are the # aliases, while the values are the commands they map to. # Type: Dict c.aliases = {'q': 'quit', 'w': 'session-save', 'wq': 'quit --save'} # Enable JavaScript. # Type: Bool config.set('content.javascript.enabled', True, 'file://*') # Enable JavaScript. # Type: Bool config.set('content.javascript.enabled', True, 'chrome://*/*') # Enable JavaScript. # Type: Bool config.set('content.javascript.enabled', True, 'qute://*/*') ## Definitions of search engines which can be used via the address bar. ## Maps a searchengine name (such as `DEFAULT`, or `ddg`) to a URL with a ## `{}` placeholder. The placeholder will be replaced by the search term, ## use `{{` and `}}` for literal `{`/`}` signs. The searchengine named ## `DEFAULT` is used when `url.auto_search` is turned on and something ## else than a URL was entered to be opened. Other search engines can be ## used by prepending the search engine name to the search term, e.g. ## `:open google qutebrowser`. ## Type: Dict c.url.searchengines = { 'DEFAULT': 'https://duckduckgo.com/?q={}', 'i': 'https://duckduckgo.com/?q={}&iar=images&iax=images&ia=images', 'vic': 'https://la.wikipedia.org/w/index.php?search={}&title=Specialis%3AQuaerere', 'red': 'https://reddit.com/r/{}', 'tpb': 'http://thepiratebay.org/search/{}', 'andr': 'https://developer.android.com/develop/index.html?q={}', 'ghr': 'https://github.com/search?utf8=%E2%9C%93&q={}&type=', 'ghn': 'https://github.com/search?utf8=%E2%9C%93&q={}+in%3Aname&type=Repositories', 'ud': 'https://www.urbandictionary.com/define.php?term={}&utm_source=search-action', 'ddg': 'https://duckduckgo.com/?q={}&t=ha&iar=images', 'aw': 'https://wiki.archlinux.org/index.php?title=Special%3ASearch&search={}', 'yt': 'https://www.youtube.com/results?search_query={}', 'w': 'https://www.wikipedia.org/search-redirect.php?family=wikipedia&language=en&search={}&language=en&go=Go', 'sk': 'https://www.skytorrents.in/search/all/ed/1/?l=en-us&q={}', 'whl': 'https://alpha.wallhaven.cc/search?q={}&categories=111&purity=100&sorting=views&order=desc', 'whh': 'https://alpha.wallhaven.cc/search?q={}&categories=111&purity=100&atleast=2560x1440&sorting=views&order=desc&page=2', 'mup': 'https://musicpleer.to/#!{}', } c.aliases = { 'wh': "open -t https://alpha.wallhaven.cc/search?q=&categories=111&purity=100&topRange=1y&sorting=toplist&order=desc&colors=336600&page=1", 'gh': "open -t https://github.com/yedhink", } ## Background color for webpages if unset (or empty to use the theme's ## color) ## Type: QtColor c.colors.webpage.bg = 'black' ## How many commands to save in the command history. 0: no history / -1: ## unlimited ## Type: Int c.completion.cmd_history_max_items = 100

[ "yedhin1998@gmail.com" ]

yedhin1998@gmail.com

c89bb72d906d579e0bd1a3b813b42be1ad4f5fa1

8d39c25241e89593e7bb8da8a568033b20a59fe1

/project/_tool/checkIsRepeat.py

e97bc4bb71152951e3ed53ccb88d2ad6fb1c7023

[]

no_license

Jason20015/Py3Crawler

62a59c8b487728daf772237fbd95bbc00c707f6d

f04348691c1809bbbc5a4cf4f084c998e8b49803

refs/heads/master

2020-04-05T07:18:08.342880

2018-11-07T12:03:07

156,670,337

0

1

null

UTF-8

Python

false

754

py

# -*- coding:UTF-8 -*- # 获取指定存档文件中是否存在重复的主键 import os from common import file, output # 存档路径 SAVE_FILE_PATH = os.path.abspath(os.path.join(os.path.dirname(__file__), "save.data")) # 存档中唯一标示（如，账号id）的字段下标 NAME_COLUMN = 0 # 检测存档文件中是否有相同的主键 def check_is_repeat(): history = [] for line in file.read_file(SAVE_FILE_PATH, file.READ_FILE_TYPE_LINE): temp_list = line.replace("\n", "").split("\t") if temp_list[NAME_COLUMN] in history: output.print_msg(temp_list[NAME_COLUMN]) else: history.append(temp_list[NAME_COLUMN]) return history if __name__ == "__main__": check_is_repeat()

[ "hikaru870806@hotmail.com" ]

hikaru870806@hotmail.com

1ee56236b83309a4459eb96cde3b8089b8ca6ea2

4c0506db687b74cd8e019629e4504c139ea423a1

/a.py

cc441a03016b152f5e6cb8aa7e6eb6d07a4d0867

[]

no_license

Lsgraalq/total-update

80f1585de7985716197e4ebb9f8b4affbcd2d4fd

2cddbd60655c435a25786caa24fec3aaba151d3e

refs/heads/main

2023-07-28T07:47:16.475630

2021-09-11T14:11:38

405,384,665

0

null

UTF-8

Python

false

307

py

import math import sys sys.stdin = open('input.txt', 'r') sys.stdout = open('output.txt', 'w') (a, b, c) = [int(s) for s in input().split()] (h, l,) = [int(s) for s in input().split()] z = (a * b + a* c + b*c)*2-a*b z = z - 0.15*z x = h*0.001 p = l*0.001 c = x *p c = c - 0.1 * c u = z/c print(math.ceil(u))

[ "ilya.merinec@gmail.com" ]

ilya.merinec@gmail.com

d5339fe24f182a3d821121c4d9aab37da1217fb2

5a62a111b30899e3260c4fe634e16049eb90cf78

/flickr-album-download.py

966efe870f1caaff6fc7aa34d8019203da3eafd0

[]

no_license

silveira/flickr-utils

6782d74067b08eb400ae5421949ab7d63ae864f9

eff02abac012778ce94a119206efe6705c5418d2

refs/heads/master

2020-03-14T08:40:08.689199

2018-04-29T21:17:37

131,529,998

0

null

UTF-8

Python

false

749

py

#!/usr/bin/env python import flickrapi import math api_key = u'' api_secret = u'' user = u'' photo_set = u'' PAGE_SIZE = 500 def generate_download_list(): photos = flickr.photosets.getPhotos(photoset_id=photo_set, user_id=user) total = photos[u'photoset'][u'total'] pages_necessary = int(math.ceil(float(total)/PAGE_SIZE)) for current_page in xrange(pages_necessary): photos = flickr.photosets.getPhotos(photoset_id=photo_set, user_id=user, page=current_page+1, extras='url_o') for photo in photos[u'photoset'][u'photo']: print photo['url_o'] if __name__ == "__main__": flickr = flickrapi.FlickrAPI(api_key, api_secret, format='parsed-json') flickr.authenticate_via_browser(perms='read') generate_download_list()

[ "silveiraneto@gmail.com" ]

silveiraneto@gmail.com

d4f39bf650b55dedde222b5251a26bce84f9166d

3b4435a6611a72227e444ed4b9029c36f514b0b5

/leetcode/Add_Two_Numbers/test.py

e8f0ff2aa5b05fb9e08901175aa500f9d2172284

[]

no_license

osy497/algorithm-test

f189fef146068af9a0125630890ec55c10626985

65e70235ca97dbc488a2623ff1b01eb8c8fb685c

refs/heads/master

2023-03-07T10:57:55.342994

2021-02-23T07:00:51

310,162,394

0

null

UTF-8

Python

false

939

py

#!/bin/python3 # Definition for singly-linked list. # class ListNode: # def __init__(self, val=0, next=None): # self.val = val # self.next = next class Solution: def addTwoNumbers(self, l1: ListNode, l2: ListNode) -> ListNode: temp_l1 = l1 temp_l2 = l2 l3 = ListNode() temp_l3 = l3 carry_flag = 0 while temp_l1 or temp_l2 or carry_flag: temp_l3.next = ListNode() temp_l3 = temp_l3.next p1 = 0 p2 = 0 if temp_l1: p1 = temp_l1.val temp_l1 = temp_l1.next if temp_l2: p2 = temp_l2.val temp_l2 = temp_l2.next temp_l3.val = p1 + p2 + carry_flag carry_flag = 0 if temp_l3.val >= 10: temp_l3.val -= 10 carry_flag = 1 return l3.next

[ "root@pl-8-builder-13.tk" ]

root@pl-8-builder-13.tk

7b3d2d7f91f67b11124933b5ffacb748256d4bf8

e1aca7817e7a6818498bbe6e3ab89de440574917

/tasks/task08/shapes.py

9a18a1c41f3badb2b7ce164b189263c07d3469f2

[]

no_license

YMikita/exadel-python-course-2021

36289cfa58ea811755b9f8b2d857e51f3046ae47

98204c94e286bae660988f2f4a8568e488dc7a3d

refs/heads/main

2023-08-31T15:03:59.669834

2021-10-12T11:02:12

402,911,236

0

null

2021-10-09T21:39:38

2021-09-03T22:26:28

Python

UTF-8

Python

false

877

py

from tasks.task08.shape2d.square import * from tasks.task08.shape2d.shape_collection import * from tasks.task08.shape2d.circle import * point = Point(50, 70) point2 = Point(60, 60) rectangle = Rectangle(point, 10, 20) print(f"Rectangle: {rectangle}, Area: {rectangle.area()}, Point[{point2}] contains: {rectangle.__contains__(point2)}") square = Square(point, 30) print(f"Square: {square}, Area: {square.area()}, Point[{point2}] contains: {square.__contains__(point2)}") circle = Circle(point, 15) print(f"Circle: {circle}, Area: {circle.area()}, Point[{point2}] contains: {circle.__contains__(point2)}") shape_collection = ShapeCollection([rectangle, square, circle]) print(f"\nPoint[{point2}] contains in Shape Collection: {shape_collection.__contains__(point2)}") print(f"Shape Collection Area: {shape_collection.area()}") print(f"Shape Collection: {shape_collection}")

[ "myepishkin@exadel.com" ]

myepishkin@exadel.com

43bdc0a3895c523a91a98518066d51d71fed380a

9745d3fcf7c759235a58c8d8ddab6d41b9497779

/Experience&Practice/SpiderProject/ScrapyProjects/PDDSpiders/PDDSpider/scrapy_redis/scheduler.py

c9dd29be25226ec923e6d7aa970c916c1b3dfe89

[]

no_license

runningabcd/Spider-Life

eb12f60cc4bbde1d64dc233efcb89334e8c81c94

149dca0fff92cdeea5df0584ae4b81ea15599fac

refs/heads/master

2020-04-08T14:29:40.596767

2019-11-12T16:41:06

159,439,169

6

0

null

UTF-8

Python

false

3,680

py

import sys import os from os.path import dirname abs_path = dirname(dirname(os.path.abspath(__file__))) abs_parent_path = dirname(abs_path) sys.path.append(abs_path) sys.path.append(abs_parent_path) from scrapy.utils.misc import load_object from PDDSpider.scrapy_redis import connection from PDDSpider.scrapy_redis.dupefilter import RFPDupeFilter # default values SCHEDULER_PERSIST = False QUEUE_KEY = '%(spider)s:requests' QUEUE_CLASS = 'scrapy_redis.queue.SpiderPriorityQueue' DUPEFILTER_KEY = '%(spider)s:dupefilter' IDLE_BEFORE_CLOSE = 0 class Scheduler(object): """Redis-based scheduler""" def __init__(self, server, server_filter, persist, queue_key, queue_cls, dupefilter_key, idle_before_close, queue_name): """Initialize scheduler. Parameters ---------- server : Redis instance persist : bool queue_key : str queue_cls : queue class dupefilter_key : str idle_before_close : int """ self.server = server self.server_filter = server_filter self.persist = persist self.queue_key = queue_key self.queue_cls = queue_cls self.dupefilter_key = dupefilter_key self.idle_before_close = idle_before_close self.queue_name = queue_name self.stats = None def __len__(self): return len(self.queue) @classmethod def from_settings(cls, settings): persist = settings.get('SCHEDULER_PERSIST', SCHEDULER_PERSIST) queue_key = settings.get('SCHEDULER_QUEUE_KEY', QUEUE_KEY) queue_cls = load_object(settings.get('SCHEDULER_QUEUE_CLASS', QUEUE_CLASS)) queue_name = settings.get('REDIS_QUEUE_NAME', None) dupefilter_key = settings.get('DUPEFILTER_KEY', DUPEFILTER_KEY) idle_before_close = settings.get('SCHEDULER_IDLE_BEFORE_CLOSE', IDLE_BEFORE_CLOSE) server = connection.from_settings(settings) server_filter = connection.from_settings_filter(settings) return cls(server, server_filter, persist, queue_key, queue_cls, dupefilter_key, idle_before_close, queue_name) @classmethod def from_crawler(cls, crawler): instance = cls.from_settings(crawler.settings) # FIXME: for now, stats are only supported from this constructor instance.stats = crawler.stats return instance def open(self, spider): self.spider = spider self.queue = self.queue_cls(self.server, spider, spider.redis_key) self.df = RFPDupeFilter(self.server_filter, self.dupefilter_key % {'spider': (self.queue_name if self.queue_name else spider.name)}) if self.idle_before_close < 0: self.idle_before_close = 0 # notice if there are requests already in the queue to resume the crawl if len(self.queue): spider.logger.info("Resuming crawl (%d requests scheduled)" % len(self.queue)) def close(self, reason): if not self.persist: self.df.clear() self.queue.clear() def enqueue_request(self, request): if not request.dont_filter and self.df.request_seen(request): return if self.stats: self.stats.inc_value('scheduler/enqueued/redis', spider=self.spider) self.queue.push(request) def next_request(self): block_pop_timeout = self.idle_before_close request = self.queue.pop(block_pop_timeout) if request and self.stats: self.stats.inc_value('scheduler/dequeued/redis', spider=self.spider) return request def has_pending_requests(self): return len(self) > 0

[ "821907280@qq.com" ]

821907280@qq.com

d7a5d2aa19ba4d95592d177e726474c4ddd58548

1a4aedbfa972382ea52852eb8f10ec96766ffdfd

/tests/unittests/test_nested_loops_join.py

d02fa287724bebaab6c306f37a669818b243a57c

[]

no_license

Bradfield/braddb

e8265d00edb0889563f7d72e6458505bbf9ddbbd

f38fec6c152d00f6695c56cec981edd5644abd79

refs/heads/master

2021-07-11T07:01:54.930935

2017-10-15T22:54:05

106,343,661

5

3

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UTF-8

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3,144

py

import unittest from executor.executor import tree, execute from executor.memscan import MemScan from executor.nested_loops_join import NestedLoopsJoin class TestNestedLoopsJoin(unittest.TestCase): """ Test our most basic join: nested loops with optional theta function. """ R_RECORDS = ( (0, 'a'), (1, 'b'), (1, 'c'), (2, 'c'), ) S_RECORDS = ( ('a', 'apple'), ('b', 'banana'), ('b', 'burger'), ) def test_cartesian_product(self): """ When the theta function simply returns True, we achieve cross product. """ query = tree( [NestedLoopsJoin(lambda r, s: True), [MemScan(self.R_RECORDS)], [MemScan(self.S_RECORDS)]]) result = list(execute(query)) expected = [r + s for r in self.R_RECORDS for s in self.S_RECORDS] self.assertListEqual(result, expected) def test_self_join(self): """ It's fine for a table to be joined to itself. """ query = tree( [NestedLoopsJoin(lambda r, s: True), [MemScan(self.R_RECORDS)], [MemScan(self.R_RECORDS)]]) result = list(execute(query)) expected = [r + s for r in self.R_RECORDS for s in self.R_RECORDS] self.assertListEqual(result, expected) def test_equijoin(self): """ The join condition can be that the value in one field equals another. """ query = tree( [NestedLoopsJoin(lambda r, s: r[1] == s[0]), [MemScan(self.R_RECORDS)], [MemScan(self.S_RECORDS)]]) result = list(execute(query)) expected = [ (0, 'a', 'a', 'apple'), (1, 'b', 'b', 'banana'), (1, 'b', 'b', 'burger') ] self.assertListEqual(result, expected) def test_inequality(self): """ The join condition can be an inequality. """ query = tree( [NestedLoopsJoin(lambda r, s: r[0] > s[0]), [MemScan(self.R_RECORDS)], [MemScan(self.R_RECORDS)]]) result = list(execute(query)) expected = [ (1, 'b', 0, 'a'), (1, 'c', 0, 'a'), (2, 'c', 0, 'a'), (2, 'c', 1, 'b'), (2, 'c', 1, 'c'), ] self.assertListEqual(result, expected) def test_three_way(self): """ The input to a join can be a join. """ query = tree( [NestedLoopsJoin(lambda r, s: r[3] == s[0]), [NestedLoopsJoin(lambda r, s: r[0] > s[0]), [MemScan(self.R_RECORDS)], [MemScan(self.R_RECORDS)]], [MemScan(self.S_RECORDS)]]) result = list(execute(query)) expected = [ (1, 'b', 0, 'a', 'a', 'apple'), (1, 'c', 0, 'a', 'a', 'apple'), (2, 'c', 0, 'a', 'a', 'apple'), (2, 'c', 1, 'b', 'b', 'banana'), (2, 'c', 1, 'b', 'b', 'burger'), ] self.assertListEqual(result, expected)

[ "ozan.onay@gmail.com" ]

ozan.onay@gmail.com

8a3d92cd176d4a3ddf0015fde1ca972969c8ee9f

f73cef3ff58a47529c78a6bc1ade798df24087bd

/highway_env/vehicle/graphics.py

b32365494710c97b1c3802aa393766e9c0609f30

[ "MIT" ]

permissive

songanz/highway-env

35d825c13f36295c5e8ede6e849422a4d4f7e445

ac21d1da25e224dbdbf8ba39509f4013bd029f52

refs/heads/master

2022-08-27T03:48:18.943017

2019-07-11T21:42:27

193,512,750

1

null

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4,748

py

from __future__ import division, print_function import numpy as np import pygame from highway_env.vehicle.dynamics import Vehicle, Obstacle from highway_env.vehicle.control import ControlledVehicle, MDPVehicle from highway_env.vehicle.behavior import IDMVehicle, LinearVehicle class VehicleGraphics(object): RED = (255, 100, 100) GREEN = (50, 200, 0) BLUE = (100, 200, 255) YELLOW = (200, 200, 0) BLACK = (60, 60, 60) PURPLE = (200, 0, 150) DEFAULT_COLOR = GREEN EGO_COLOR = GREEN @classmethod def display(cls, vehicle, surface, transparent=False): """ Display a vehicle on a pygame surface. The vehicle is represented as a colored rotated rectangle. :param vehicle: the vehicle to be drawn :param surface: the surface to draw the vehicle on :param transparent: whether the vehicle should be drawn slightly transparent """ v = vehicle s = pygame.Surface((surface.pix(v.LENGTH), surface.pix(v.LENGTH)), pygame.SRCALPHA) # per-pixel alpha rect = (0, surface.pix(v.LENGTH) / 2 - surface.pix(v.WIDTH) / 2, surface.pix(v.LENGTH), surface.pix(v.WIDTH)) pygame.draw.rect(s, cls.get_color(v, transparent), rect, 0) pygame.draw.rect(s, cls.BLACK, rect, 1) s = pygame.Surface.convert_alpha(s) h = v.heading if abs(v.heading) > 2 * np.pi / 180 else 0 sr = pygame.transform.rotate(s, -h * 180 / np.pi) surface.blit(sr, (surface.pos2pix(v.position[0] - v.LENGTH / 2, v.position[1] - v.LENGTH / 2))) @classmethod def display_trajectory(cls, states, surface): """ Display the whole trajectory of a vehicle on a pygame surface. :param states: the list of vehicle states within the trajectory to be displayed :param surface: the surface to draw the vehicle future states on """ for vehicle in states: cls.display(vehicle, surface, transparent=True) @classmethod def get_color(cls, vehicle, transparent=False): color = cls.DEFAULT_COLOR if vehicle.crashed: color = cls.RED elif isinstance(vehicle, LinearVehicle): color = cls.YELLOW elif isinstance(vehicle, IDMVehicle): color = cls.BLUE elif isinstance(vehicle, MDPVehicle): color = cls.EGO_COLOR elif isinstance(vehicle, Obstacle): color = cls.GREEN if transparent: color = (color[0], color[1], color[2], 50) return color @classmethod def handle_event(cls, vehicle, event): """ Handle a pygame event depending on the vehicle type :param vehicle: the vehicle receiving the event :param event: the pygame event """ if isinstance(vehicle, ControlledVehicle): cls.control_event(vehicle, event) elif isinstance(vehicle, Vehicle): cls.dynamics_event(vehicle, event) @classmethod def control_event(cls, vehicle, event): """ Map the pygame keyboard events to control decisions :param vehicle: the vehicle receiving the event :param event: the pygame event """ if event.type == pygame.KEYDOWN: if event.key == pygame.K_RIGHT: vehicle.act("FASTER") if event.key == pygame.K_LEFT: vehicle.act("SLOWER") if event.key == pygame.K_DOWN: vehicle.act("LANE_RIGHT") if event.key == pygame.K_UP: vehicle.act("LANE_LEFT") @classmethod def dynamics_event(cls, vehicle, event): """ Map the pygame keyboard events to dynamics actuation :param vehicle: the vehicle receiving the event :param event: the pygame event """ action = vehicle.action.copy() if event.type == pygame.KEYDOWN: if event.key == pygame.K_RIGHT: action['steering'] = 45 * np.pi / 180 if event.key == pygame.K_LEFT: action['steering'] = -45 * np.pi / 180 if event.key == pygame.K_DOWN: action['acceleration'] = -6 if event.key == pygame.K_UP: action['acceleration'] = 5 elif event.type == pygame.KEYUP: if event.key == pygame.K_RIGHT: action['steering'] = 0 if event.key == pygame.K_LEFT: action['steering'] = 0 if event.key == pygame.K_DOWN: action['acceleration'] = 0 if event.key == pygame.K_UP: action['acceleration'] = 0 if action != vehicle.action: vehicle.act(action)

[ "songanz@umich.edu" ]

songanz@umich.edu

0b9c9ce631c9d21aaf68621a80548d0d5d3b74a4

9d7c9441afefba1c0c78a550c928c9d7f7568292

/python-udp/udpThriftserver.py

1166cb88c5d44fc1c21002cbc892304babdcbb8c

[]

no_license

popweb/quickdemo

2a4f5c26dbc415303d2ef1118bf1e3e1d6d27aa0

477028cba3b6504a87bd2280e8ae3a4c9efd7797

refs/heads/master

2021-07-17T00:17:30.427854

2017-10-24T10:01:24

null

0

null

UTF-8

Python

false

1,885

py

#!/usr/bin/env python # UDP Echo Server - udpserver.py # code by www.cppblog.com/jerryma import socket, traceback, sys, struct import struct from ctypes import * from thrift.protocol import TCompactProtocol from thrift.transport import TTransport from attackchecker.ttypes import TAttackInfo host = '' textport = sys.argv[1] s = socket.socket(socket.AF_INET, socket.SOCK_DGRAM) s.setsockopt(socket.SOL_SOCKET, socket.SO_REUSEADDR, 1) s.bind((host, int(textport))) def trans(s): return "b'%s'" % ''.join('\\x%.2x' % x for x in s) def printhex(s): i=0; for c in s: print "0x%2x " % ord(c), i=i+1 if (i%16 == 0): print "" print "" class PinpointHeader(Structure): _fields_ = [ ("signature", c_ubyte), ("version", c_ubyte), ("typehigh", c_ubyte), ("typelow", c_ubyte), ] def __new__(self, buffer=None): return self.from_buffer_copy(buffer) def __init__(self, buffer=None): self.type = self.typehigh*256 + self.typelow while 1: try: message, address = s.recvfrom(8192) #print "Got data from", address, ": ", ''.join(map(lambda x:('/x' if len(hex(x))>=4 else '/x0')+hex(x)[2:],message)) #print type(message), # <type 'str'> #print "get message:" #printhex(message) transport = TTransport.TMemoryBuffer(message) prot = TCompactProtocol.TCompactProtocol(transport) header = PinpointHeader(message[:4]) print "get header sig=%#x, version=%#x, type=%d" % (header.signature, header.version, header.type) transport.read(4) # jump over header, see HeaderTBaseSerializer att = TAttackInfo() att.read(prot) #s.sendto(message, address) print(att) except (KeyboardInterrupt, SystemExit): raise except: traceback.print_exc()

[ "jiaqifeng@gmail.com" ]

jiaqifeng@gmail.com

1153b6099e95fe5d652d4b243980f2b0347097ab

f7c22882401fd410c38d78de9b9994b3563cad1b

/main.py

0b5ef6706f09837e24e7256994d3d8d8fc95db2b

[]

no_license

Ahmed-Aun/Desktop-Download-Manager-pytube

fddf62d1d6d1cfa06a35876b6cd5c4616e82ce7b

57fba3f73a35f6d727066bf41e615a3a79988857

refs/heads/main

2023-06-03T18:44:31.372437

2021-06-16T17:18:47

377,573,018

0

null

UTF-8

Python

false

84,514

py

# -*- coding: utf-8 -*- # Form implementation generated from reading ui file '.\main.ui' # # Created by: PyQt5 UI code generator 5.15.2 # # WARNING: Any manual changes made to this file will be lost when pyuic5 is # run again. Do not edit this file unless you know what you are doing. from PyQt5 import QtCore, QtGui, QtWidgets class Ui_MainWindow(object): def setupUi(self, MainWindow): MainWindow.setObjectName("MainWindow") MainWindow.resize(614, 314) icon = QtGui.QIcon() icon.addPixmap(QtGui.QPixmap(".\\icons/brosser.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) MainWindow.setWindowIcon(icon) MainWindow.setStyleSheet("/* ---------------------------------------------------------------------------\n" "\n" " Created by the qtsass compiler v0.1.1\n" "\n" " The definitions are in the \"qdarkstyle.qss._styles.scss\" module\n" "\n" " WARNING! All changes made in this file will be lost!\n" "\n" "--------------------------------------------------------------------------- */\n" "/* QDarkStyleSheet -----------------------------------------------------------\n" "\n" "This is the main style sheet, the palette has nine colors.\n" "\n" "It is based on three selecting colors, three greyish (background) colors\n" "plus three whitish (foreground) colors. Each set of widgets of the same\n" "type have a header like this:\n" "\n" " ------------------\n" " GroupName --------\n" " ------------------\n" "\n" "And each widget is separated with a header like this:\n" "\n" " QWidgetName ------\n" "\n" "This makes more easy to find and change some css field. The basic\n" "configuration is described bellow.\n" "\n" " BACKGROUND -----------\n" "\n" " Light (unpressed)\n" " Normal (border, disabled, pressed, checked, toolbars, menus)\n" " Dark (background)\n" "\n" " FOREGROUND -----------\n" "\n" " Light (texts/labels)\n" " Normal (not used yet)\n" " Dark (disabled texts)\n" "\n" " SELECTION ------------\n" "\n" " Light (selection/hover/active)\n" " Normal (selected)\n" " Dark (selected disabled)\n" "\n" "If a stranger configuration is required because of a bugfix or anything\n" "else, keep the comment on the line above so nobody changes it, including the\n" "issue number.\n" "\n" "*/\n" "/*\n" "\n" "See Qt documentation:\n" "\n" " - https://doc.qt.io/qt-5/stylesheet.html\n" " - https://doc.qt.io/qt-5/stylesheet-reference.html\n" " - https://doc.qt.io/qt-5/stylesheet-examples.html\n" "\n" "--------------------------------------------------------------------------- */\n" "/* QWidget ----------------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QWidget {\n" " background-color: #19232D;\n" " border: 0px solid #32414B;\n" " padding: 0px;\n" " color: #F0F0F0;\n" " selection-background-color: #1464A0;\n" " selection-color: #F0F0F0;\n" "}\n" "\n" "QWidget:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" " selection-background-color: #14506E;\n" " selection-color: #787878;\n" "}\n" "\n" "QWidget::item:selected {\n" " background-color: #1464A0;\n" "}\n" "\n" "QWidget::item:hover {\n" " background-color: #148CD2;\n" " color: #32414B;\n" "}\n" "\n" "/* QMainWindow ------------------------------------------------------------\n" "\n" "This adjusts the splitter in the dock widget, not qsplitter\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qmainwindow\n" "\n" "--------------------------------------------------------------------------- */\n" "QMainWindow::separator {\n" " background-color: #32414B;\n" " border: 0px solid #19232D;\n" " spacing: 0px;\n" " padding: 2px;\n" "}\n" "\n" "QMainWindow::separator:hover {\n" " background-color: #505F69;\n" " border: 0px solid #148CD2;\n" "}\n" "\n" "QMainWindow::separator:horizontal {\n" " width: 5px;\n" " margin-top: 2px;\n" " margin-bottom: 2px;\n" " image: url(\":/qss_icons/rc/toolbar_separator_vertical.png\");\n" "}\n" "\n" "QMainWindow::separator:vertical {\n" " height: 5px;\n" " margin-left: 2px;\n" " margin-right: 2px;\n" " image: url(\":/qss_icons/rc/toolbar_separator_horizontal.png\");\n" "}\n" "\n" "/* QToolTip ---------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtooltip\n" "\n" "--------------------------------------------------------------------------- */\n" "QToolTip {\n" " background-color: #148CD2;\n" " border: 1px solid #19232D;\n" " color: #19232D;\n" " /* Remove padding, for fix combo box tooltip */\n" " padding: 0px;\n" " /* Remove opacity, fix #174 - may need to use RGBA */\n" "}\n" "\n" "/* QStatusBar -------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qstatusbar\n" "\n" "--------------------------------------------------------------------------- */\n" "QStatusBar {\n" " border: 1px solid #32414B;\n" " /* Fixes Spyder #9120, #9121 */\n" " background: #32414B;\n" " /* Fixes #205, white vertical borders separating items */\n" "}\n" "\n" "QStatusBar::item {\n" " border: none;\n" "}\n" "\n" "QStatusBar QToolTip {\n" " background-color: #148CD2;\n" " border: 1px solid #19232D;\n" " color: #19232D;\n" " /* Remove padding, for fix combo box tooltip */\n" " padding: 0px;\n" " /* Reducing transparency to read better */\n" " opacity: 230;\n" "}\n" "\n" "QStatusBar QLabel {\n" " /* Fixes Spyder #9120, #9121 */\n" " background: transparent;\n" "}\n" "\n" "/* QCheckBox --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qcheckbox\n" "\n" "--------------------------------------------------------------------------- */\n" "QCheckBox {\n" " background-color: #19232D;\n" " color: #F0F0F0;\n" " spacing: 4px;\n" " outline: none;\n" " padding-top: 4px;\n" " padding-bottom: 4px;\n" "}\n" "\n" "QCheckBox:focus {\n" " border: none;\n" "}\n" "\n" "QCheckBox QWidget:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" "}\n" "\n" "QCheckBox::indicator {\n" " margin-left: 4px;\n" " height: 16px;\n" " width: 16px;\n" "}\n" "\n" "QCheckBox::indicator:unchecked {\n" " image: url(\":/qss_icons/rc/checkbox_unchecked.png\");\n" "}\n" "\n" "QCheckBox::indicator:unchecked:hover, QCheckBox::indicator:unchecked:focus, QCheckBox::indicator:unchecked:pressed {\n" " border: none;\n" " image: url(\":/qss_icons/rc/checkbox_unchecked_focus.png\");\n" "}\n" "\n" "QCheckBox::indicator:unchecked:disabled {\n" " image: url(\":/qss_icons/rc/checkbox_unchecked_disabled.png\");\n" "}\n" "\n" "QCheckBox::indicator:checked {\n" " image: url(\":/qss_icons/rc/checkbox_checked.png\");\n" "}\n" "\n" "QCheckBox::indicator:checked:hover, QCheckBox::indicator:checked:focus, QCheckBox::indicator:checked:pressed {\n" " border: none;\n" " image: url(\":/qss_icons/rc/checkbox_checked_focus.png\");\n" "}\n" "\n" "QCheckBox::indicator:checked:disabled {\n" " image: url(\":/qss_icons/rc/checkbox_checked_disabled.png\");\n" "}\n" "\n" "QCheckBox::indicator:indeterminate {\n" " image: url(\":/qss_icons/rc/checkbox_indeterminate.png\");\n" "}\n" "\n" "QCheckBox::indicator:indeterminate:disabled {\n" " image: url(\":/qss_icons/rc/checkbox_indeterminate_disabled.png\");\n" "}\n" "\n" "QCheckBox::indicator:indeterminate:focus, QCheckBox::indicator:indeterminate:hover, QCheckBox::indicator:indeterminate:pressed {\n" " image: url(\":/qss_icons/rc/checkbox_indeterminate_focus.png\");\n" "}\n" "\n" "/* QGroupBox --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qgroupbox\n" "\n" "--------------------------------------------------------------------------- */\n" "QGroupBox {\n" " font-weight: bold;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " padding: 4px;\n" " margin-top: 16px;\n" "}\n" "\n" "QGroupBox::title {\n" " subcontrol-origin: margin;\n" " subcontrol-position: top left;\n" " left: 3px;\n" " padding-left: 3px;\n" " padding-right: 5px;\n" " padding-top: 8px;\n" " padding-bottom: 16px;\n" "}\n" "\n" "QGroupBox::indicator {\n" " margin-left: 2px;\n" " height: 16px;\n" " width: 16px;\n" "}\n" "\n" "QGroupBox::indicator:unchecked {\n" " border: none;\n" " image: url(\":/qss_icons/rc/checkbox_unchecked.png\");\n" "}\n" "\n" "QGroupBox::indicator:unchecked:hover, QGroupBox::indicator:unchecked:focus, QGroupBox::indicator:unchecked:pressed {\n" " border: none;\n" " image: url(\":/qss_icons/rc/checkbox_unchecked_focus.png\");\n" "}\n" "\n" "QGroupBox::indicator:unchecked:disabled {\n" " image: url(\":/qss_icons/rc/checkbox_unchecked_disabled.png\");\n" "}\n" "\n" "QGroupBox::indicator:checked {\n" " border: none;\n" " image: url(\":/qss_icons/rc/checkbox_checked.png\");\n" "}\n" "\n" "QGroupBox::indicator:checked:hover, QGroupBox::indicator:checked:focus, QGroupBox::indicator:checked:pressed {\n" " border: none;\n" " image: url(\":/qss_icons/rc/checkbox_checked_focus.png\");\n" "}\n" "\n" "QGroupBox::indicator:checked:disabled {\n" " image: url(\":/qss_icons/rc/checkbox_checked_disabled.png\");\n" "}\n" "\n" "/* QRadioButton -----------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qradiobutton\n" "\n" "--------------------------------------------------------------------------- */\n" "QRadioButton {\n" " background-color: #19232D;\n" " color: #F0F0F0;\n" " spacing: 4px;\n" " padding: 0px;\n" " border: none;\n" " outline: none;\n" "}\n" "\n" "QRadioButton:focus {\n" " border: none;\n" "}\n" "\n" "QRadioButton:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" " border: none;\n" " outline: none;\n" "}\n" "\n" "QRadioButton QWidget {\n" " background-color: #19232D;\n" " color: #F0F0F0;\n" " spacing: 0px;\n" " padding: 0px;\n" " outline: none;\n" " border: none;\n" "}\n" "\n" "QRadioButton::indicator {\n" " border: none;\n" " outline: none;\n" " margin-left: 4px;\n" " height: 16px;\n" " width: 16px;\n" "}\n" "\n" "QRadioButton::indicator:unchecked {\n" " image: url(\":/qss_icons/rc/radio_unchecked.png\");\n" "}\n" "\n" "QRadioButton::indicator:unchecked:hover, QRadioButton::indicator:unchecked:focus, QRadioButton::indicator:unchecked:pressed {\n" " border: none;\n" " outline: none;\n" " image: url(\":/qss_icons/rc/radio_unchecked_focus.png\");\n" "}\n" "\n" "QRadioButton::indicator:unchecked:disabled {\n" " image: url(\":/qss_icons/rc/radio_unchecked_disabled.png\");\n" "}\n" "\n" "QRadioButton::indicator:checked {\n" " border: none;\n" " outline: none;\n" " image: url(\":/qss_icons/rc/radio_checked.png\");\n" "}\n" "\n" "QRadioButton::indicator:checked:hover, QRadioButton::indicator:checked:focus, QRadioButton::indicator:checked:pressed {\n" " border: none;\n" " outline: none;\n" " image: url(\":/qss_icons/rc/radio_checked_focus.png\");\n" "}\n" "\n" "QRadioButton::indicator:checked:disabled {\n" " outline: none;\n" " image: url(\":/qss_icons/rc/radio_checked_disabled.png\");\n" "}\n" "\n" "/* QMenuBar ---------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qmenubar\n" "\n" "--------------------------------------------------------------------------- */\n" "QMenuBar {\n" " background-color: #32414B;\n" " padding: 2px;\n" " border: 1px solid #19232D;\n" " color: #F0F0F0;\n" "}\n" "\n" "QMenuBar:focus {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QMenuBar::item {\n" " background: transparent;\n" " padding: 4px;\n" "}\n" "\n" "QMenuBar::item:selected {\n" " padding: 4px;\n" " background: transparent;\n" " border: 0px solid #32414B;\n" "}\n" "\n" "QMenuBar::item:pressed {\n" " padding: 4px;\n" " border: 0px solid #32414B;\n" " background-color: #148CD2;\n" " color: #F0F0F0;\n" " margin-bottom: 0px;\n" " padding-bottom: 0px;\n" "}\n" "\n" "/* QMenu ------------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qmenu\n" "\n" "--------------------------------------------------------------------------- */\n" "QMenu {\n" " border: 0px solid #32414B;\n" " color: #F0F0F0;\n" " margin: 0px;\n" "}\n" "\n" "QMenu::separator {\n" " height: 1px;\n" " background-color: #505F69;\n" " color: #F0F0F0;\n" "}\n" "\n" "QMenu::icon {\n" " margin: 0px;\n" " padding-left: 8px;\n" "}\n" "\n" "QMenu::item {\n" " background-color: #32414B;\n" " padding: 4px 24px 4px 24px;\n" " /* Reserve space for selection border */\n" " border: 1px transparent #32414B;\n" "}\n" "\n" "QMenu::item:selected {\n" " color: #F0F0F0;\n" "}\n" "\n" "QMenu::indicator {\n" " width: 12px;\n" " height: 12px;\n" " padding-left: 6px;\n" " /* non-exclusive indicator = check box style indicator (see QActionGroup::setExclusive) */\n" " /* exclusive indicator = radio button style indicator (see QActionGroup::setExclusive) */\n" "}\n" "\n" "QMenu::indicator:non-exclusive:unchecked {\n" " image: url(\":/qss_icons/rc/checkbox_unchecked.png\");\n" "}\n" "\n" "QMenu::indicator:non-exclusive:unchecked:selected {\n" " image: url(\":/qss_icons/rc/checkbox_unchecked_disabled.png\");\n" "}\n" "\n" "QMenu::indicator:non-exclusive:checked {\n" " image: url(\":/qss_icons/rc/checkbox_checked.png\");\n" "}\n" "\n" "QMenu::indicator:non-exclusive:checked:selected {\n" " image: url(\":/qss_icons/rc/checkbox_checked_disabled.png\");\n" "}\n" "\n" "QMenu::indicator:exclusive:unchecked {\n" " image: url(\":/qss_icons/rc/radio_unchecked.png\");\n" "}\n" "\n" "QMenu::indicator:exclusive:unchecked:selected {\n" " image: url(\":/qss_icons/rc/radio_unchecked_disabled.png\");\n" "}\n" "\n" "QMenu::indicator:exclusive:checked {\n" " image: url(\":/qss_icons/rc/radio_checked.png\");\n" "}\n" "\n" "QMenu::indicator:exclusive:checked:selected {\n" " image: url(\":/qss_icons/rc/radio_checked_disabled.png\");\n" "}\n" "\n" "QMenu::right-arrow {\n" " margin: 5px;\n" " image: url(\":/qss_icons/rc/arrow_right.png\");\n" " height: 12px;\n" " width: 12px;\n" "}\n" "\n" "/* QAbstractItemView ------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qcombobox\n" "\n" "--------------------------------------------------------------------------- */\n" "QAbstractItemView {\n" " alternate-background-color: #19232D;\n" " color: #F0F0F0;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" "}\n" "\n" "QAbstractItemView QLineEdit {\n" " padding: 2px;\n" "}\n" "\n" "/* QAbstractScrollArea ----------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qabstractscrollarea\n" "\n" "--------------------------------------------------------------------------- */\n" "QAbstractScrollArea {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " padding: 2px;\n" " /* fix #159 */\n" " min-height: 1.25em;\n" " /* fix #159 */\n" " color: #F0F0F0;\n" "}\n" "\n" "QAbstractScrollArea:disabled {\n" " color: #787878;\n" "}\n" "\n" "/* QScrollArea ------------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QScrollArea QWidget QWidget:disabled {\n" " background-color: #19232D;\n" "}\n" "\n" "/* QScrollBar -------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qscrollbar\n" "\n" "--------------------------------------------------------------------------- */\n" "QScrollBar:horizontal {\n" " height: 16px;\n" " margin: 2px 16px 2px 16px;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " background-color: #19232D;\n" "}\n" "\n" "QScrollBar:vertical {\n" " background-color: #19232D;\n" " width: 16px;\n" " margin: 16px 2px 16px 2px;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" "}\n" "\n" "QScrollBar::handle:horizontal {\n" " background-color: #787878;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " min-width: 8px;\n" "}\n" "\n" "QScrollBar::handle:horizontal:hover {\n" " background-color: #148CD2;\n" " border: 1px solid #148CD2;\n" " border-radius: 4px;\n" " min-width: 8px;\n" "}\n" "\n" "QScrollBar::handle:horizontal:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QScrollBar::handle:vertical {\n" " background-color: #787878;\n" " border: 1px solid #32414B;\n" " min-height: 8px;\n" " border-radius: 4px;\n" "}\n" "\n" "QScrollBar::handle:vertical:hover {\n" " background-color: #148CD2;\n" " border: 1px solid #148CD2;\n" " border-radius: 4px;\n" " min-height: 8px;\n" "}\n" "\n" "QScrollBar::handle:vertical:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QScrollBar::add-line:horizontal {\n" " margin: 0px 0px 0px 0px;\n" " border-image: url(\":/qss_icons/rc/arrow_right_disabled.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: right;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::add-line:horizontal:hover, QScrollBar::add-line:horizontal:on {\n" " border-image: url(\":/qss_icons/rc/arrow_right.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: right;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::add-line:vertical {\n" " margin: 3px 0px 3px 0px;\n" " border-image: url(\":/qss_icons/rc/arrow_down_disabled.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: bottom;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::add-line:vertical:hover, QScrollBar::add-line:vertical:on {\n" " border-image: url(\":/qss_icons/rc/arrow_down.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: bottom;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::sub-line:horizontal {\n" " margin: 0px 3px 0px 3px;\n" " border-image: url(\":/qss_icons/rc/arrow_left_disabled.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: left;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::sub-line:horizontal:hover, QScrollBar::sub-line:horizontal:on {\n" " border-image: url(\":/qss_icons/rc/arrow_left.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: left;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::sub-line:vertical {\n" " margin: 3px 0px 3px 0px;\n" " border-image: url(\":/qss_icons/rc/arrow_up_disabled.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: top;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::sub-line:vertical:hover, QScrollBar::sub-line:vertical:on {\n" " border-image: url(\":/qss_icons/rc/arrow_up.png\");\n" " height: 12px;\n" " width: 12px;\n" " subcontrol-position: top;\n" " subcontrol-origin: margin;\n" "}\n" "\n" "QScrollBar::up-arrow:horizontal, QScrollBar::down-arrow:horizontal {\n" " background: none;\n" "}\n" "\n" "QScrollBar::up-arrow:vertical, QScrollBar::down-arrow:vertical {\n" " background: none;\n" "}\n" "\n" "QScrollBar::add-page:horizontal, QScrollBar::sub-page:horizontal {\n" " background: none;\n" "}\n" "\n" "QScrollBar::add-page:vertical, QScrollBar::sub-page:vertical {\n" " background: none;\n" "}\n" "\n" "/* QTextEdit --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-specific-widgets\n" "\n" "--------------------------------------------------------------------------- */\n" "QTextEdit {\n" " background-color: #19232D;\n" " color: #F0F0F0;\n" " border-radius: 4px;\n" " border: 1px solid #32414B;\n" "}\n" "\n" "QTextEdit:hover {\n" " border: 1px solid #148CD2;\n" " color: #F0F0F0;\n" "}\n" "\n" "QTextEdit:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QTextEdit:selected {\n" " background: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "/* QPlainTextEdit ---------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QPlainTextEdit {\n" " background-color: #19232D;\n" " color: #F0F0F0;\n" " border-radius: 4px;\n" " border: 1px solid #32414B;\n" "}\n" "\n" "QPlainTextEdit:hover {\n" " border: 1px solid #148CD2;\n" " color: #F0F0F0;\n" "}\n" "\n" "QPlainTextEdit:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QPlainTextEdit:selected {\n" " background: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "/* QSizeGrip --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qsizegrip\n" "\n" "--------------------------------------------------------------------------- */\n" "QSizeGrip {\n" " background: transparent;\n" " width: 12px;\n" " height: 12px;\n" " image: url(\":/qss_icons/rc/window_grip.png\");\n" "}\n" "\n" "/* QStackedWidget ---------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QStackedWidget {\n" " padding: 2px;\n" " border: 1px solid #32414B;\n" " border: 1px solid #19232D;\n" "}\n" "\n" "/* QToolBar ---------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtoolbar\n" "\n" "--------------------------------------------------------------------------- */\n" "QToolBar {\n" " background-color: #32414B;\n" " border-bottom: 1px solid #19232D;\n" " padding: 2px;\n" " font-weight: bold;\n" " spacing: 2px;\n" "}\n" "\n" "QToolBar QToolButton {\n" " background-color: #32414B;\n" " border: 1px solid #32414B;\n" "}\n" "\n" "QToolBar QToolButton:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QToolBar QToolButton:checked {\n" " border: 1px solid #19232D;\n" " background-color: #19232D;\n" "}\n" "\n" "QToolBar QToolButton:checked:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QToolBar::handle:horizontal {\n" " width: 16px;\n" " image: url(\":/qss_icons/rc/toolbar_move_horizontal.png\");\n" "}\n" "\n" "QToolBar::handle:vertical {\n" " height: 16px;\n" " image: url(\":/qss_icons/rc/toolbar_move_vertical.png\");\n" "}\n" "\n" "QToolBar::separator:horizontal {\n" " width: 16px;\n" " image: url(\":/qss_icons/rc/toolbar_separator_horizontal.png\");\n" "}\n" "\n" "QToolBar::separator:vertical {\n" " height: 16px;\n" " image: url(\":/qss_icons/rc/toolbar_separator_vertical.png\");\n" "}\n" "\n" "QToolButton#qt_toolbar_ext_button {\n" " background: #32414B;\n" " border: 0px;\n" " color: #F0F0F0;\n" " image: url(\":/qss_icons/rc/arrow_right.png\");\n" "}\n" "\n" "/* QAbstractSpinBox -------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QAbstractSpinBox {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " /* This fixes 103, 111 */\n" " padding-top: 2px;\n" " /* This fixes 103, 111 */\n" " padding-bottom: 2px;\n" " padding-left: 4px;\n" " padding-right: 4px;\n" " border-radius: 4px;\n" " /* min-width: 5px; removed to fix 109 */\n" "}\n" "\n" "QAbstractSpinBox:up-button {\n" " background-color: transparent #19232D;\n" " subcontrol-origin: border;\n" " subcontrol-position: top right;\n" " border-left: 1px solid #32414B;\n" " border-bottom: 1px solid #32414B;\n" " border-top-left-radius: 0;\n" " border-bottom-left-radius: 0;\n" " margin: 1px;\n" " width: 12px;\n" " margin-bottom: -1px;\n" "}\n" "\n" "QAbstractSpinBox::up-arrow, QAbstractSpinBox::up-arrow:disabled, QAbstractSpinBox::up-arrow:off {\n" " image: url(\":/qss_icons/rc/arrow_up_disabled.png\");\n" " height: 8px;\n" " width: 8px;\n" "}\n" "\n" "QAbstractSpinBox::up-arrow:hover {\n" " image: url(\":/qss_icons/rc/arrow_up.png\");\n" "}\n" "\n" "QAbstractSpinBox:down-button {\n" " background-color: transparent #19232D;\n" " subcontrol-origin: border;\n" " subcontrol-position: bottom right;\n" " border-left: 1px solid #32414B;\n" " border-top: 1px solid #32414B;\n" " border-top-left-radius: 0;\n" " border-bottom-left-radius: 0;\n" " margin: 1px;\n" " width: 12px;\n" " margin-top: -1px;\n" "}\n" "\n" "QAbstractSpinBox::down-arrow, QAbstractSpinBox::down-arrow:disabled, QAbstractSpinBox::down-arrow:off {\n" " image: url(\":/qss_icons/rc/arrow_down_disabled.png\");\n" " height: 8px;\n" " width: 8px;\n" "}\n" "\n" "QAbstractSpinBox::down-arrow:hover {\n" " image: url(\":/qss_icons/rc/arrow_down.png\");\n" "}\n" "\n" "QAbstractSpinBox:hover {\n" " border: 1px solid #148CD2;\n" " color: #F0F0F0;\n" "}\n" "\n" "QAbstractSpinBox:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QAbstractSpinBox:selected {\n" " background: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "/* ------------------------------------------------------------------------ */\n" "/* DISPLAYS --------------------------------------------------------------- */\n" "/* ------------------------------------------------------------------------ */\n" "/* QLabel -----------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qframe\n" "\n" "--------------------------------------------------------------------------- */\n" "QLabel {\n" " background-color: #19232D;\n" " border: 0px solid #32414B;\n" " padding: 2px;\n" " margin: 0px;\n" " color: #F0F0F0;\n" "}\n" "\n" "QLabel:disabled {\n" " background-color: #19232D;\n" " border: 0px solid #32414B;\n" " color: #787878;\n" "}\n" "\n" "/* QTextBrowser -----------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qabstractscrollarea\n" "\n" "--------------------------------------------------------------------------- */\n" "QTextBrowser {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " border-radius: 4px;\n" "}\n" "\n" "QTextBrowser:disabled {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #787878;\n" " border-radius: 4px;\n" "}\n" "\n" "QTextBrowser:hover, QTextBrowser:!hover, QTextBrowser:selected, QTextBrowser:pressed {\n" " border: 1px solid #32414B;\n" "}\n" "\n" "/* QGraphicsView ----------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QGraphicsView {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " border-radius: 4px;\n" "}\n" "\n" "QGraphicsView:disabled {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #787878;\n" " border-radius: 4px;\n" "}\n" "\n" "QGraphicsView:hover, QGraphicsView:!hover, QGraphicsView:selected, QGraphicsView:pressed {\n" " border: 1px solid #32414B;\n" "}\n" "\n" "/* QCalendarWidget --------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QCalendarWidget {\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" "}\n" "\n" "QCalendarWidget:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" "}\n" "\n" "/* QLCDNumber -------------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QLCDNumber {\n" " background-color: #19232D;\n" " color: #F0F0F0;\n" "}\n" "\n" "QLCDNumber:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" "}\n" "\n" "/* QProgressBar -----------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qprogressbar\n" "\n" "--------------------------------------------------------------------------- */\n" "QProgressBar {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " border-radius: 4px;\n" " text-align: center;\n" "}\n" "\n" "QProgressBar:disabled {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #787878;\n" " border-radius: 4px;\n" " text-align: center;\n" "}\n" "\n" "QProgressBar::chunk {\n" " background-color: #1464A0;\n" " color: #19232D;\n" " border-radius: 4px;\n" "}\n" "\n" "QProgressBar::chunk:disabled {\n" " background-color: #14506E;\n" " color: #787878;\n" " border-radius: 4px;\n" "}\n" "\n" "/* ------------------------------------------------------------------------ */\n" "/* BUTTONS ---------------------------------------------------------------- */\n" "/* ------------------------------------------------------------------------ */\n" "/* QPushButton ------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qpushbutton\n" "\n" "--------------------------------------------------------------------------- */\n" "QPushButton {\n" " background-color: #505F69;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " border-radius: 4px;\n" " padding: 3px;\n" " outline: none;\n" " /* Issue #194 - Special case of QPushButton inside dialogs, for better UI */\n" " min-width: 80px;\n" "}\n" "\n" "QPushButton:disabled {\n" " background-color: #32414B;\n" " border: 1px solid #32414B;\n" " color: #787878;\n" " border-radius: 4px;\n" " padding: 3px;\n" "}\n" "\n" "QPushButton:checked {\n" " background-color: #32414B;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " padding: 3px;\n" " outline: none;\n" "}\n" "\n" "QPushButton:checked:disabled {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #787878;\n" " border-radius: 4px;\n" " padding: 3px;\n" " outline: none;\n" "}\n" "\n" "QPushButton:checked:selected {\n" " background: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "QPushButton::menu-indicator {\n" " subcontrol-origin: padding;\n" " subcontrol-position: bottom right;\n" " bottom: 4px;\n" "}\n" "\n" "QPushButton:pressed {\n" " background-color: #19232D;\n" " border: 1px solid #19232D;\n" "}\n" "\n" "QPushButton:pressed:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QPushButton:hover {\n" " border: 1px solid #148CD2;\n" " color: #F0F0F0;\n" "}\n" "\n" "QPushButton:selected {\n" " background: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "QPushButton:hover {\n" " border: 1px solid #148CD2;\n" " color: #F0F0F0;\n" "}\n" "\n" "QPushButton:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "/* QToolButton ------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtoolbutton\n" "\n" "--------------------------------------------------------------------------- */\n" "QToolButton {\n" " background-color: transparent;\n" " border: 1px solid transparent;\n" " border-radius: 4px;\n" " margin: 0px;\n" " padding: 2px;\n" " /* The subcontrols below are used only in the DelayedPopup mode */\n" " /* The subcontrols below are used only in the MenuButtonPopup mode */\n" " /* The subcontrol below is used only in the InstantPopup or DelayedPopup mode */\n" "}\n" "\n" "QToolButton:checked {\n" " background-color: transparent;\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QToolButton:checked:disabled {\n" " border: 1px solid #14506E;\n" "}\n" "\n" "QToolButton:pressed {\n" " margin: 1px;\n" " background-color: transparent;\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QToolButton:disabled {\n" " border: none;\n" "}\n" "\n" "QToolButton:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QToolButton[popupMode=\"0\"] {\n" " /* Only for DelayedPopup */\n" " padding-right: 2px;\n" "}\n" "\n" "QToolButton[popupMode=\"1\"] {\n" " /* Only for MenuButtonPopup */\n" " padding-right: 20px;\n" "}\n" "\n" "QToolButton[popupMode=\"1\"]::menu-button {\n" " border: none;\n" "}\n" "\n" "QToolButton[popupMode=\"1\"]::menu-button:hover {\n" " border: none;\n" " border-left: 1px solid #148CD2;\n" " border-radius: 0;\n" "}\n" "\n" "QToolButton[popupMode=\"2\"] {\n" " /* Only for InstantPopup */\n" " padding-right: 2px;\n" "}\n" "\n" "QToolButton::menu-button {\n" " padding: 2px;\n" " border-radius: 4px;\n" " border: 1px solid #32414B;\n" " width: 12px;\n" " outline: none;\n" "}\n" "\n" "QToolButton::menu-button:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QToolButton::menu-button:checked:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QToolButton::menu-indicator {\n" " image: url(\":/qss_icons/rc/arrow_down.png\");\n" " height: 8px;\n" " width: 8px;\n" " top: 0;\n" " /* Exclude a shift for better image */\n" " left: -2px;\n" " /* Shift it a bit */\n" "}\n" "\n" "QToolButton::menu-arrow {\n" " image: url(\":/qss_icons/rc/arrow_down.png\");\n" " height: 8px;\n" " width: 8px;\n" "}\n" "\n" "QToolButton::menu-arrow:hover {\n" " image: url(\":/qss_icons/rc/arrow_down_focus.png\");\n" "}\n" "\n" "/* QCommandLinkButton -----------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QCommandLinkButton {\n" " background-color: transparent;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " border-radius: 4px;\n" " padding: 0px;\n" " margin: 0px;\n" "}\n" "\n" "QCommandLinkButton:disabled {\n" " background-color: transparent;\n" " color: #787878;\n" "}\n" "\n" "/* ------------------------------------------------------------------------ */\n" "/* INPUTS - NO FIELDS ----------------------------------------------------- */\n" "/* ------------------------------------------------------------------------ */\n" "/* QComboBox --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qcombobox\n" "\n" "--------------------------------------------------------------------------- */\n" "QComboBox {\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " selection-background-color: #1464A0;\n" " padding-left: 4px;\n" " padding-right: 36px;\n" " /* 4 + 16*2 See scrollbar size */\n" " /* Fixes #103, #111 */\n" " min-height: 1.5em;\n" " /* padding-top: 2px; removed to fix #132 */\n" " /* padding-bottom: 2px; removed to fix #132 */\n" " /* min-width: 75px; removed to fix #109 */\n" " /* Needed to remove indicator - fix #132 */\n" "}\n" "\n" "QComboBox QAbstractItemView {\n" " border: 1px solid #32414B;\n" " border-radius: 0;\n" " background-color: #19232D;\n" " selection-background-color: #1464A0;\n" "}\n" "\n" "QComboBox QAbstractItemView:hover {\n" " background-color: #19232D;\n" " color: #F0F0F0;\n" "}\n" "\n" "QComboBox QAbstractItemView:selected {\n" " background: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "QComboBox QAbstractItemView:alternate {\n" " background: #19232D;\n" "}\n" "\n" "QComboBox:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" "}\n" "\n" "QComboBox:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QComboBox:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QComboBox:on {\n" " selection-background-color: #1464A0;\n" "}\n" "\n" "QComboBox::indicator {\n" " border: none;\n" " border-radius: 0;\n" " background-color: transparent;\n" " selection-background-color: transparent;\n" " color: transparent;\n" " selection-color: transparent;\n" " /* Needed to remove indicator - fix #132 */\n" "}\n" "\n" "QComboBox::indicator:alternate {\n" " background: #19232D;\n" "}\n" "\n" "QComboBox::item:alternate {\n" " background: #19232D;\n" "}\n" "\n" "QComboBox::item:checked {\n" " font-weight: bold;\n" "}\n" "\n" "QComboBox::item:selected {\n" " border: 0px solid transparent;\n" "}\n" "\n" "QComboBox::drop-down {\n" " subcontrol-origin: padding;\n" " subcontrol-position: top right;\n" " width: 12px;\n" " border-left: 1px solid #32414B;\n" "}\n" "\n" "QComboBox::down-arrow {\n" " image: url(\":/qss_icons/rc/arrow_down_disabled.png\");\n" " height: 8px;\n" " width: 8px;\n" "}\n" "\n" "QComboBox::down-arrow:on, QComboBox::down-arrow:hover, QComboBox::down-arrow:focus {\n" " image: url(\":/qss_icons/rc/arrow_down.png\");\n" "}\n" "\n" "/* QSlider ----------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qslider\n" "\n" "--------------------------------------------------------------------------- */\n" "QSlider:disabled {\n" " background: #19232D;\n" "}\n" "\n" "QSlider:focus {\n" " border: none;\n" "}\n" "\n" "QSlider::groove:horizontal {\n" " background: #32414B;\n" " border: 1px solid #32414B;\n" " height: 4px;\n" " margin: 0px;\n" " border-radius: 4px;\n" "}\n" "\n" "QSlider::groove:vertical {\n" " background: #32414B;\n" " border: 1px solid #32414B;\n" " width: 4px;\n" " margin: 0px;\n" " border-radius: 4px;\n" "}\n" "\n" "QSlider::add-page:vertical {\n" " background: #1464A0;\n" " border: 1px solid #32414B;\n" " width: 4px;\n" " margin: 0px;\n" " border-radius: 4px;\n" "}\n" "\n" "QSlider::add-page:vertical :disabled {\n" " background: #14506E;\n" "}\n" "\n" "QSlider::sub-page:horizontal {\n" " background: #1464A0;\n" " border: 1px solid #32414B;\n" " height: 4px;\n" " margin: 0px;\n" " border-radius: 4px;\n" "}\n" "\n" "QSlider::sub-page:horizontal:disabled {\n" " background: #14506E;\n" "}\n" "\n" "QSlider::handle:horizontal {\n" " background: #787878;\n" " border: 1px solid #32414B;\n" " width: 8px;\n" " height: 8px;\n" " margin: -8px 0px;\n" " border-radius: 4px;\n" "}\n" "\n" "QSlider::handle:horizontal:hover {\n" " background: #148CD2;\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QSlider::handle:horizontal:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QSlider::handle:vertical {\n" " background: #787878;\n" " border: 1px solid #32414B;\n" " width: 8px;\n" " height: 8px;\n" " margin: 0 -8px;\n" " border-radius: 4px;\n" "}\n" "\n" "QSlider::handle:vertical:hover {\n" " background: #148CD2;\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QSlider::handle:vertical:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "/* QLineEdit --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qlineedit\n" "\n" "--------------------------------------------------------------------------- */\n" "QLineEdit {\n" " background-color: #19232D;\n" " padding-top: 2px;\n" " /* This QLineEdit fix 103, 111 */\n" " padding-bottom: 2px;\n" " /* This QLineEdit fix 103, 111 */\n" " padding-left: 4px;\n" " padding-right: 4px;\n" " border-style: solid;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " color: #F0F0F0;\n" "}\n" "\n" "QLineEdit:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" "}\n" "\n" "QLineEdit:hover {\n" " border: 1px solid #148CD2;\n" " color: #F0F0F0;\n" "}\n" "\n" "QLineEdit:focus {\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "QLineEdit:selected {\n" " background-color: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "/* QTabWiget --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtabwidget-and-qtabbar\n" "\n" "--------------------------------------------------------------------------- */\n" "QTabWidget {\n" " padding: 2px;\n" " selection-background-color: #32414B;\n" "}\n" "\n" "QTabWidget QWidget {\n" " /* Fixes #189 */\n" " border-radius: 4px;\n" "}\n" "\n" "QTabWidget::pane {\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " margin: 0px;\n" " /* Fixes double border inside pane with pyqt5 */\n" " padding: 0px;\n" "}\n" "\n" "QTabWidget::pane:selected {\n" " background-color: #32414B;\n" " border: 1px solid #1464A0;\n" "}\n" "\n" "/* QTabBar ----------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtabwidget-and-qtabbar\n" "\n" "--------------------------------------------------------------------------- */\n" "QTabBar {\n" " qproperty-drawBase: 0;\n" " border-radius: 4px;\n" " margin: 0px;\n" " padding: 2px;\n" " border: 0;\n" " /* left: 5px; move to the right by 5px - removed for fix */\n" "}\n" "\n" "QTabBar::close-button {\n" " border: 0;\n" " margin: 2px;\n" " padding: 2px;\n" " image: url(\":/qss_icons/rc/window_close.png\");\n" "}\n" "\n" "QTabBar::close-button:hover {\n" " image: url(\":/qss_icons/rc/window_close_focus.png\");\n" "}\n" "\n" "QTabBar::close-button:pressed {\n" " image: url(\":/qss_icons/rc/window_close_pressed.png\");\n" "}\n" "\n" "/* QTabBar::tab - selected ------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtabwidget-and-qtabbar\n" "\n" "--------------------------------------------------------------------------- */\n" "QTabBar::tab {\n" " /* !selected and disabled ----------------------------------------- */\n" " /* selected ------------------------------------------------------- */\n" "}\n" "\n" "QTabBar::tab:top:selected:disabled {\n" " border-bottom: 3px solid #14506E;\n" " color: #787878;\n" " background-color: #32414B;\n" "}\n" "\n" "QTabBar::tab:bottom:selected:disabled {\n" " border-top: 3px solid #14506E;\n" " color: #787878;\n" " background-color: #32414B;\n" "}\n" "\n" "QTabBar::tab:left:selected:disabled {\n" " border-right: 3px solid #14506E;\n" " color: #787878;\n" " background-color: #32414B;\n" "}\n" "\n" "QTabBar::tab:right:selected:disabled {\n" " border-left: 3px solid #14506E;\n" " color: #787878;\n" " background-color: #32414B;\n" "}\n" "\n" "QTabBar::tab:top:!selected:disabled {\n" " border-bottom: 3px solid #19232D;\n" " color: #787878;\n" " background-color: #19232D;\n" "}\n" "\n" "QTabBar::tab:bottom:!selected:disabled {\n" " border-top: 3px solid #19232D;\n" " color: #787878;\n" " background-color: #19232D;\n" "}\n" "\n" "QTabBar::tab:left:!selected:disabled {\n" " border-right: 3px solid #19232D;\n" " color: #787878;\n" " background-color: #19232D;\n" "}\n" "\n" "QTabBar::tab:right:!selected:disabled {\n" " border-left: 3px solid #19232D;\n" " color: #787878;\n" " background-color: #19232D;\n" "}\n" "\n" "QTabBar::tab:top:!selected {\n" " border-bottom: 2px solid #19232D;\n" " margin-top: 2px;\n" "}\n" "\n" "QTabBar::tab:bottom:!selected {\n" " border-top: 2px solid #19232D;\n" " margin-bottom: 3px;\n" "}\n" "\n" "QTabBar::tab:left:!selected {\n" " border-left: 2px solid #19232D;\n" " margin-right: 2px;\n" "}\n" "\n" "QTabBar::tab:right:!selected {\n" " border-right: 2px solid #19232D;\n" " margin-left: 2px;\n" "}\n" "\n" "QTabBar::tab:top {\n" " background-color: #32414B;\n" " color: #F0F0F0;\n" " margin-left: 2px;\n" " padding-left: 4px;\n" " padding-right: 4px;\n" " padding-top: 2px;\n" " padding-bottom: 2px;\n" " min-width: 5px;\n" " border-bottom: 3px solid #32414B;\n" " border-top-left-radius: 3px;\n" " border-top-right-radius: 3px;\n" "}\n" "\n" "QTabBar::tab:top:selected {\n" " background-color: #505F69;\n" " color: #F0F0F0;\n" " border-bottom: 3px solid #1464A0;\n" " border-top-left-radius: 3px;\n" " border-top-right-radius: 3px;\n" "}\n" "\n" "QTabBar::tab:top:!selected:hover {\n" " border: 1px solid #148CD2;\n" " border-bottom: 3px solid #148CD2;\n" " /* Fixes spyder-ide/spyder#9766 */\n" " padding-left: 4px;\n" " padding-right: 4px;\n" "}\n" "\n" "QTabBar::tab:bottom {\n" " color: #F0F0F0;\n" " border-top: 3px solid #32414B;\n" " background-color: #32414B;\n" " margin-left: 2px;\n" " padding-left: 4px;\n" " padding-right: 4px;\n" " padding-top: 2px;\n" " padding-bottom: 2px;\n" " border-bottom-left-radius: 3px;\n" " border-bottom-right-radius: 3px;\n" " min-width: 5px;\n" "}\n" "\n" "QTabBar::tab:bottom:selected {\n" " color: #F0F0F0;\n" " background-color: #505F69;\n" " border-top: 3px solid #1464A0;\n" " border-bottom-left-radius: 3px;\n" " border-bottom-right-radius: 3px;\n" "}\n" "\n" "QTabBar::tab:bottom:!selected:hover {\n" " border: 1px solid #148CD2;\n" " border-top: 3px solid #148CD2;\n" " /* Fixes spyder-ide/spyder#9766 */\n" " padding-left: 4px;\n" " padding-right: 4px;\n" "}\n" "\n" "QTabBar::tab:left {\n" " color: #F0F0F0;\n" " background-color: #32414B;\n" " margin-top: 2px;\n" " padding-left: 2px;\n" " padding-right: 2px;\n" " padding-top: 4px;\n" " padding-bottom: 4px;\n" " border-top-left-radius: 3px;\n" " border-bottom-left-radius: 3px;\n" " min-height: 5px;\n" "}\n" "\n" "QTabBar::tab:left:selected {\n" " color: #F0F0F0;\n" " background-color: #505F69;\n" " border-right: 3px solid #1464A0;\n" "}\n" "\n" "QTabBar::tab:left:!selected:hover {\n" " border: 1px solid #148CD2;\n" " border-right: 3px solid #148CD2;\n" " padding: 0px;\n" "}\n" "\n" "QTabBar::tab:right {\n" " color: #F0F0F0;\n" " background-color: #32414B;\n" " margin-top: 2px;\n" " padding-left: 2px;\n" " padding-right: 2px;\n" " padding-top: 4px;\n" " padding-bottom: 4px;\n" " border-top-right-radius: 3px;\n" " border-bottom-right-radius: 3px;\n" " min-height: 5px;\n" "}\n" "\n" "QTabBar::tab:right:selected {\n" " color: #F0F0F0;\n" " background-color: #505F69;\n" " border-left: 3px solid #1464A0;\n" "}\n" "\n" "QTabBar::tab:right:!selected:hover {\n" " border: 1px solid #148CD2;\n" " border-left: 3px solid #148CD2;\n" " padding: 0px;\n" "}\n" "\n" "QTabBar QToolButton {\n" " /* Fixes #136 */\n" " background-color: #32414B;\n" " height: 12px;\n" " width: 12px;\n" "}\n" "\n" "QTabBar QToolButton:pressed {\n" " background-color: #32414B;\n" "}\n" "\n" "QTabBar QToolButton:pressed:hover {\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QTabBar QToolButton::left-arrow:enabled {\n" " image: url(\":/qss_icons/rc/arrow_left.png\");\n" "}\n" "\n" "QTabBar QToolButton::left-arrow:disabled {\n" " image: url(\":/qss_icons/rc/arrow_left_disabled.png\");\n" "}\n" "\n" "QTabBar QToolButton::right-arrow:enabled {\n" " image: url(\":/qss_icons/rc/arrow_right.png\");\n" "}\n" "\n" "QTabBar QToolButton::right-arrow:disabled {\n" " image: url(\":/qss_icons/rc/arrow_right_disabled.png\");\n" "}\n" "\n" "/* QDockWiget -------------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QDockWidget {\n" " outline: 1px solid #32414B;\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " titlebar-close-icon: url(\":/qss_icons/rc/window_close.png\");\n" " titlebar-normal-icon: url(\":/qss_icons/rc/window_undock.png\");\n" "}\n" "\n" "QDockWidget::title {\n" " /* Better size for title bar */\n" " padding: 6px;\n" " spacing: 4px;\n" " border: none;\n" " background-color: #32414B;\n" "}\n" "\n" "QDockWidget::close-button {\n" " background-color: #32414B;\n" " border-radius: 4px;\n" " border: none;\n" "}\n" "\n" "QDockWidget::close-button:hover {\n" " image: url(\":/qss_icons/rc/window_close_focus.png\");\n" "}\n" "\n" "QDockWidget::close-button:pressed {\n" " image: url(\":/qss_icons/rc/window_close_pressed.png\");\n" "}\n" "\n" "QDockWidget::float-button {\n" " background-color: #32414B;\n" " border-radius: 4px;\n" " border: none;\n" "}\n" "\n" "QDockWidget::float-button:hover {\n" " image: url(\":/qss_icons/rc/window_undock_focus.png\");\n" "}\n" "\n" "QDockWidget::float-button:pressed {\n" " image: url(\":/qss_icons/rc/window_undock_pressed.png\");\n" "}\n" "\n" "/* QTreeView QListView QTableView -----------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtreeview\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qlistview\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtableview\n" "\n" "--------------------------------------------------------------------------- */\n" "QTreeView:branch:selected, QTreeView:branch:hover {\n" " background: url(\":/qss_icons/rc/transparent.png\");\n" "}\n" "\n" "QTreeView:branch:has-siblings:!adjoins-item {\n" " border-image: url(\":/qss_icons/rc/branch_line.png\") 0;\n" "}\n" "\n" "QTreeView:branch:has-siblings:adjoins-item {\n" " border-image: url(\":/qss_icons/rc/branch_more.png\") 0;\n" "}\n" "\n" "QTreeView:branch:!has-children:!has-siblings:adjoins-item {\n" " border-image: url(\":/qss_icons/rc/branch_end.png\") 0;\n" "}\n" "\n" "QTreeView:branch:has-children:!has-siblings:closed, QTreeView:branch:closed:has-children:has-siblings {\n" " border-image: none;\n" " image: url(\":/qss_icons/rc/branch_closed.png\");\n" "}\n" "\n" "QTreeView:branch:open:has-children:!has-siblings, QTreeView:branch:open:has-children:has-siblings {\n" " border-image: none;\n" " image: url(\":/qss_icons/rc/branch_open.png\");\n" "}\n" "\n" "QTreeView:branch:has-children:!has-siblings:closed:hover, QTreeView:branch:closed:has-children:has-siblings:hover {\n" " image: url(\":/qss_icons/rc/branch_closed_focus.png\");\n" "}\n" "\n" "QTreeView:branch:open:has-children:!has-siblings:hover, QTreeView:branch:open:has-children:has-siblings:hover {\n" " image: url(\":/qss_icons/rc/branch_open_focus.png\");\n" "}\n" "\n" "QTreeView::indicator:checked,\n" "QListView::indicator:checked {\n" " image: url(\":/qss_icons/rc/checkbox_checked.png\");\n" "}\n" "\n" "QTreeView::indicator:checked:hover, QTreeView::indicator:checked:focus, QTreeView::indicator:checked:pressed,\n" "QListView::indicator:checked:hover,\n" "QListView::indicator:checked:focus,\n" "QListView::indicator:checked:pressed {\n" " image: url(\":/qss_icons/rc/checkbox_checked_focus.png\");\n" "}\n" "\n" "QTreeView::indicator:unchecked,\n" "QListView::indicator:unchecked {\n" " image: url(\":/qss_icons/rc/checkbox_unchecked.png\");\n" "}\n" "\n" "QTreeView::indicator:unchecked:hover, QTreeView::indicator:unchecked:focus, QTreeView::indicator:unchecked:pressed,\n" "QListView::indicator:unchecked:hover,\n" "QListView::indicator:unchecked:focus,\n" "QListView::indicator:unchecked:pressed {\n" " image: url(\":/qss_icons/rc/checkbox_unchecked_focus.png\");\n" "}\n" "\n" "QTreeView::indicator:indeterminate,\n" "QListView::indicator:indeterminate {\n" " image: url(\":/qss_icons/rc/checkbox_indeterminate.png\");\n" "}\n" "\n" "QTreeView::indicator:indeterminate:hover, QTreeView::indicator:indeterminate:focus, QTreeView::indicator:indeterminate:pressed,\n" "QListView::indicator:indeterminate:hover,\n" "QListView::indicator:indeterminate:focus,\n" "QListView::indicator:indeterminate:pressed {\n" " image: url(\":/qss_icons/rc/checkbox_indeterminate_focus.png\");\n" "}\n" "\n" "QTreeView,\n" "QListView,\n" "QTableView,\n" "QColumnView {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " gridline-color: #32414B;\n" " border-radius: 4px;\n" "}\n" "\n" "QTreeView:disabled,\n" "QListView:disabled,\n" "QTableView:disabled,\n" "QColumnView:disabled {\n" " background-color: #19232D;\n" " color: #787878;\n" "}\n" "\n" "QTreeView:selected,\n" "QListView:selected,\n" "QTableView:selected,\n" "QColumnView:selected {\n" " background-color: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "QTreeView:hover,\n" "QListView:hover,\n" "QTableView:hover,\n" "QColumnView:hover {\n" " background-color: #19232D;\n" " border: 1px solid #148CD2;\n" "}\n" "\n" "QTreeView::item:pressed,\n" "QListView::item:pressed,\n" "QTableView::item:pressed,\n" "QColumnView::item:pressed {\n" " background-color: #1464A0;\n" "}\n" "\n" "QTreeView::item:selected:hover,\n" "QListView::item:selected:hover,\n" "QTableView::item:selected:hover,\n" "QColumnView::item:selected:hover {\n" " background: #1464A0;\n" " color: #19232D;\n" "}\n" "\n" "QTreeView::item:selected:active,\n" "QListView::item:selected:active,\n" "QTableView::item:selected:active,\n" "QColumnView::item:selected:active {\n" " background-color: #1464A0;\n" "}\n" "\n" "QTreeView::item:!selected:hover,\n" "QListView::item:!selected:hover,\n" "QTableView::item:!selected:hover,\n" "QColumnView::item:!selected:hover {\n" " outline: 0;\n" " color: #148CD2;\n" " background-color: #32414B;\n" "}\n" "\n" "QTableCornerButton::section {\n" " background-color: #19232D;\n" " border: 1px transparent #32414B;\n" " border-radius: 0px;\n" "}\n" "\n" "/* QHeaderView ------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qheaderview\n" "\n" "--------------------------------------------------------------------------- */\n" "QHeaderView {\n" " background-color: #32414B;\n" " border: 0px transparent #32414B;\n" " padding: 0px;\n" " margin: 0px;\n" " border-radius: 0px;\n" "}\n" "\n" "QHeaderView:disabled {\n" " background-color: #32414B;\n" " border: 1px transparent #32414B;\n" " padding: 2px;\n" "}\n" "\n" "QHeaderView::section {\n" " background-color: #32414B;\n" " color: #F0F0F0;\n" " padding: 2px;\n" " border-radius: 0px;\n" " text-align: left;\n" "}\n" "\n" "QHeaderView::section:checked {\n" " color: #F0F0F0;\n" " background-color: #1464A0;\n" "}\n" "\n" "QHeaderView::section:checked:disabled {\n" " color: #787878;\n" " background-color: #14506E;\n" "}\n" "\n" "QHeaderView::section::horizontal {\n" " padding-left: 4px;\n" " padding-right: 4px;\n" " border-left: 1px solid #19232D;\n" "}\n" "\n" "QHeaderView::section::horizontal::first, QHeaderView::section::horizontal::only-one {\n" " border-left: 1px solid #32414B;\n" "}\n" "\n" "QHeaderView::section::horizontal:disabled {\n" " color: #787878;\n" "}\n" "\n" "QHeaderView::section::vertical {\n" " padding-left: 4px;\n" " padding-right: 4px;\n" " border-top: 1px solid #19232D;\n" "}\n" "\n" "QHeaderView::section::vertical::first, QHeaderView::section::vertical::only-one {\n" " border-top: 1px solid #32414B;\n" "}\n" "\n" "QHeaderView::section::vertical:disabled {\n" " color: #787878;\n" "}\n" "\n" "QHeaderView::down-arrow {\n" " /* Those settings (border/width/height/background-color) solve bug */\n" " /* transparent arrow background and size */\n" " background-color: #32414B;\n" " border: none;\n" " height: 12px;\n" " width: 12px;\n" " padding-left: 2px;\n" " padding-right: 2px;\n" " image: url(\":/qss_icons/rc/arrow_down.png\");\n" "}\n" "\n" "QHeaderView::up-arrow {\n" " background-color: #32414B;\n" " border: none;\n" " height: 12px;\n" " width: 12px;\n" " padding-left: 2px;\n" " padding-right: 2px;\n" " image: url(\":/qss_icons/rc/arrow_up.png\");\n" "}\n" "\n" "/* QToolBox --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qtoolbox\n" "\n" "--------------------------------------------------------------------------- */\n" "QToolBox {\n" " padding: 0px;\n" " border: 0px;\n" " border: 1px solid #32414B;\n" "}\n" "\n" "QToolBox:selected {\n" " padding: 0px;\n" " border: 2px solid #1464A0;\n" "}\n" "\n" "QToolBox::tab {\n" " background-color: #19232D;\n" " border: 1px solid #32414B;\n" " color: #F0F0F0;\n" " border-top-left-radius: 4px;\n" " border-top-right-radius: 4px;\n" "}\n" "\n" "QToolBox::tab:disabled {\n" " color: #787878;\n" "}\n" "\n" "QToolBox::tab:selected {\n" " background-color: #505F69;\n" " border-bottom: 2px solid #1464A0;\n" "}\n" "\n" "QToolBox::tab:selected:disabled {\n" " background-color: #32414B;\n" " border-bottom: 2px solid #14506E;\n" "}\n" "\n" "QToolBox::tab:!selected {\n" " background-color: #32414B;\n" " border-bottom: 2px solid #32414B;\n" "}\n" "\n" "QToolBox::tab:!selected:disabled {\n" " background-color: #19232D;\n" "}\n" "\n" "QToolBox::tab:hover {\n" " border-color: #148CD2;\n" " border-bottom: 2px solid #148CD2;\n" "}\n" "\n" "QToolBox QScrollArea QWidget QWidget {\n" " padding: 0px;\n" " border: 0px;\n" " background-color: #19232D;\n" "}\n" "\n" "/* QFrame -----------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qframe\n" "https://doc.qt.io/qt-5/qframe.html#-prop\n" "https://doc.qt.io/qt-5/qframe.html#details\n" "https://stackoverflow.com/questions/14581498/qt-stylesheet-for-hline-vline-color\n" "\n" "--------------------------------------------------------------------------- */\n" "/* (dot) .QFrame fix #141, #126, #123 */\n" ".QFrame {\n" " border-radius: 4px;\n" " border: 1px solid #32414B;\n" " /* No frame */\n" " /* HLine */\n" " /* HLine */\n" "}\n" "\n" ".QFrame[frameShape=\"0\"] {\n" " border-radius: 4px;\n" " border: 1px transparent #32414B;\n" "}\n" "\n" ".QFrame[frameShape=\"4\"] {\n" " max-height: 2px;\n" " border: none;\n" " background-color: #32414B;\n" "}\n" "\n" ".QFrame[frameShape=\"5\"] {\n" " max-width: 2px;\n" " border: none;\n" " background-color: #32414B;\n" "}\n" "\n" "/* QSplitter --------------------------------------------------------------\n" "\n" "https://doc.qt.io/qt-5/stylesheet-examples.html#customizing-qsplitter\n" "\n" "--------------------------------------------------------------------------- */\n" "QSplitter {\n" " background-color: #32414B;\n" " spacing: 0px;\n" " padding: 0px;\n" " margin: 0px;\n" "}\n" "\n" "QSplitter::handle {\n" " background-color: #32414B;\n" " border: 0px solid #19232D;\n" " spacing: 0px;\n" " padding: 1px;\n" " margin: 0px;\n" "}\n" "\n" "QSplitter::handle:hover {\n" " background-color: #787878;\n" "}\n" "\n" "QSplitter::handle:horizontal {\n" " width: 5px;\n" " image: url(\":/qss_icons/rc/line_vertical.png\");\n" "}\n" "\n" "QSplitter::handle:vertical {\n" " height: 5px;\n" " image: url(\":/qss_icons/rc/line_horizontal.png\");\n" "}\n" "\n" "/* QDateEdit, QDateTimeEdit -----------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QDateEdit, QDateTimeEdit {\n" " selection-background-color: #1464A0;\n" " border-style: solid;\n" " border: 1px solid #32414B;\n" " border-radius: 4px;\n" " /* This fixes 103, 111 */\n" " padding-top: 2px;\n" " /* This fixes 103, 111 */\n" " padding-bottom: 2px;\n" " padding-left: 4px;\n" " padding-right: 4px;\n" " min-width: 10px;\n" "}\n" "\n" "QDateEdit:on, QDateTimeEdit:on {\n" " selection-background-color: #1464A0;\n" "}\n" "\n" "QDateEdit::drop-down, QDateTimeEdit::drop-down {\n" " subcontrol-origin: padding;\n" " subcontrol-position: top right;\n" " width: 12px;\n" " border-left: 1px solid #32414B;\n" "}\n" "\n" "QDateEdit::down-arrow, QDateTimeEdit::down-arrow {\n" " image: url(\":/qss_icons/rc/arrow_down_disabled.png\");\n" " height: 8px;\n" " width: 8px;\n" "}\n" "\n" "QDateEdit::down-arrow:on, QDateEdit::down-arrow:hover, QDateEdit::down-arrow:focus, QDateTimeEdit::down-arrow:on, QDateTimeEdit::down-arrow:hover, QDateTimeEdit::down-arrow:focus {\n" " image: url(\":/qss_icons/rc/arrow_down.png\");\n" "}\n" "\n" "QDateEdit QAbstractItemView, QDateTimeEdit QAbstractItemView {\n" " background-color: #19232D;\n" " border-radius: 4px;\n" " border: 1px solid #32414B;\n" " selection-background-color: #1464A0;\n" "}\n" "\n" "/* QAbstractView ----------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "QAbstractView:hover {\n" " border: 1px solid #148CD2;\n" " color: #F0F0F0;\n" "}\n" "\n" "QAbstractView:selected {\n" " background: #1464A0;\n" " color: #32414B;\n" "}\n" "\n" "/* PlotWidget -------------------------------------------------------------\n" "\n" "--------------------------------------------------------------------------- */\n" "PlotWidget {\n" " /* Fix cut labels in plots #134 */\n" " padding: 0px;\n" "}\n" "") self.centralwidget = QtWidgets.QWidget(MainWindow) self.centralwidget.setObjectName("centralwidget") self.pushButton_3 = QtWidgets.QPushButton(self.centralwidget) self.pushButton_3.setGeometry(QtCore.QRect(10, 10, 88, 41)) font = QtGui.QFont() font.setPointSize(10) self.pushButton_3.setFont(font) self.pushButton_3.setCursor(QtGui.QCursor(QtCore.Qt.PointingHandCursor)) self.pushButton_3.setText("") icon1 = QtGui.QIcon() icon1.addPixmap(QtGui.QPixmap(":/icons/icons/home.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_3.setIcon(icon1) self.pushButton_3.setIconSize(QtCore.QSize(65, 60)) self.pushButton_3.setFlat(True) self.pushButton_3.setObjectName("pushButton_3") self.pushButton_4 = QtWidgets.QPushButton(self.centralwidget) self.pushButton_4.setGeometry(QtCore.QRect(10, 60, 88, 41)) font = QtGui.QFont() font.setPointSize(10) self.pushButton_4.setFont(font) self.pushButton_4.setCursor(QtGui.QCursor(QtCore.Qt.PointingHandCursor)) self.pushButton_4.setText("") icon2 = QtGui.QIcon() icon2.addPixmap(QtGui.QPixmap(":/icons/icons/folder.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_4.setIcon(icon2) self.pushButton_4.setIconSize(QtCore.QSize(35, 35)) self.pushButton_4.setFlat(True) self.pushButton_4.setObjectName("pushButton_4") self.pushButton_5 = QtWidgets.QPushButton(self.centralwidget) self.pushButton_5.setGeometry(QtCore.QRect(10, 110, 88, 41)) font = QtGui.QFont() font.setPointSize(10) self.pushButton_5.setFont(font) self.pushButton_5.setCursor(QtGui.QCursor(QtCore.Qt.PointingHandCursor)) self.pushButton_5.setText("") icon3 = QtGui.QIcon() icon3.addPixmap(QtGui.QPixmap(":/icons/icons/001-youtube.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_5.setIcon(icon3) self.pushButton_5.setIconSize(QtCore.QSize(40, 40)) self.pushButton_5.setFlat(True) self.pushButton_5.setObjectName("pushButton_5") self.tabWidget = QtWidgets.QTabWidget(self.centralwidget) self.tabWidget.setGeometry(QtCore.QRect(100, 0, 511, 261)) self.tabWidget.setObjectName("tabWidget") self.tab = QtWidgets.QWidget() self.tab.setObjectName("tab") self.widget_2 = QtWidgets.QWidget(self.tab) self.widget_2.setGeometry(QtCore.QRect(-10, 10, 501, 191)) self.widget_2.setObjectName("widget_2") self.label_9 = QtWidgets.QLabel(self.widget_2) self.label_9.setGeometry(QtCore.QRect(380, 0, 131, 61)) font = QtGui.QFont() font.setPointSize(10) self.label_9.setFont(font) self.label_9.setAlignment(QtCore.Qt.AlignCenter) self.label_9.setWordWrap(True) self.label_9.setObjectName("label_9") self.label_14 = QtWidgets.QLabel(self.widget_2) self.label_14.setGeometry(QtCore.QRect(380, 60, 131, 41)) font = QtGui.QFont() font.setPointSize(8) self.label_14.setFont(font) self.label_14.setAlignment(QtCore.Qt.AlignCenter) self.label_14.setWordWrap(True) self.label_14.setObjectName("label_14") self.groupBox_3 = QtWidgets.QGroupBox(self.widget_2) self.groupBox_3.setGeometry(QtCore.QRect(20, 10, 111, 181)) self.groupBox_3.setTitle("") self.groupBox_3.setObjectName("groupBox_3") self.label_23 = QtWidgets.QLabel(self.groupBox_3) self.label_23.setGeometry(QtCore.QRect(10, 30, 91, 31)) self.label_23.setAlignment(QtCore.Qt.AlignCenter) self.label_23.setObjectName("label_23") self.label_32 = QtWidgets.QLabel(self.groupBox_3) self.label_32.setGeometry(QtCore.QRect(30, 60, 51, 41)) self.label_32.setText("") self.label_32.setPixmap(QtGui.QPixmap(":/icons/icons/folder.png")) self.label_32.setScaledContents(True) self.label_32.setAlignment(QtCore.Qt.AlignCenter) self.label_32.setOpenExternalLinks(True) self.label_32.setObjectName("label_32") self.label_34 = QtWidgets.QLabel(self.groupBox_3) self.label_34.setGeometry(QtCore.QRect(20, 110, 70, 51)) self.label_34.setText("") self.label_34.setPixmap(QtGui.QPixmap(":/icons/icons/brosser.png")) self.label_34.setScaledContents(True) self.label_34.setAlignment(QtCore.Qt.AlignCenter) self.label_34.setOpenExternalLinks(True) self.label_34.setObjectName("label_34") self.groupBox_4 = QtWidgets.QGroupBox(self.widget_2) self.groupBox_4.setGeometry(QtCore.QRect(140, 10, 121, 131)) self.groupBox_4.setTitle("") self.groupBox_4.setObjectName("groupBox_4") self.label_25 = QtWidgets.QLabel(self.groupBox_4) self.label_25.setGeometry(QtCore.QRect(20, 20, 81, 51)) self.label_25.setAlignment(QtCore.Qt.AlignCenter) self.label_25.setWordWrap(True) self.label_25.setObjectName("label_25") self.label_26 = QtWidgets.QLabel(self.groupBox_4) self.label_26.setGeometry(QtCore.QRect(20, 70, 81, 51)) self.label_26.setText("") self.label_26.setPixmap(QtGui.QPixmap(":/icons/icons/001-youtube.png")) self.label_26.setScaledContents(True) self.label_26.setAlignment(QtCore.Qt.AlignCenter) self.label_26.setOpenExternalLinks(True) self.label_26.setObjectName("label_26") self.label_27 = QtWidgets.QLabel(self.widget_2) self.label_27.setGeometry(QtCore.QRect(270, 30, 111, 141)) self.label_27.setText("") self.label_27.setPixmap(QtGui.QPixmap(":/icons/icons/boy-2027615_1280.png")) self.label_27.setScaledContents(True) self.label_27.setAlignment(QtCore.Qt.AlignCenter) self.label_27.setOpenExternalLinks(True) self.label_27.setObjectName("label_27") self.label_28 = QtWidgets.QLabel(self.widget_2) self.label_28.setGeometry(QtCore.QRect(410, 110, 71, 61)) self.label_28.setText("") self.label_28.setPixmap(QtGui.QPixmap(":/icons/icons/badge.png")) self.label_28.setScaledContents(True) self.label_28.setAlignment(QtCore.Qt.AlignCenter) self.label_28.setOpenExternalLinks(True) self.label_28.setObjectName("label_28") self.label_33 = QtWidgets.QLabel(self.widget_2) self.label_33.setGeometry(QtCore.QRect(140, 150, 121, 41)) self.label_33.setText("") self.label_33.setPixmap(QtGui.QPixmap(":/icons/icons/donload2.png")) self.label_33.setScaledContents(True) self.label_33.setAlignment(QtCore.Qt.AlignCenter) self.label_33.setOpenExternalLinks(True) self.label_33.setObjectName("label_33") self.tabWidget.addTab(self.tab, "") self.tab_2 = QtWidgets.QWidget() self.tab_2.setObjectName("tab_2") self.widget = QtWidgets.QWidget(self.tab_2) self.widget.setGeometry(QtCore.QRect(0, 20, 511, 201)) self.widget.setObjectName("widget") self.label_3 = QtWidgets.QLabel(self.widget) self.label_3.setGeometry(QtCore.QRect(10, 110, 51, 21)) self.label_3.setObjectName("label_3") self.lineEdit_2 = QtWidgets.QLineEdit(self.widget) self.lineEdit_2.setGeometry(QtCore.QRect(90, 70, 311, 31)) self.lineEdit_2.setText("") self.lineEdit_2.setObjectName("lineEdit_2") self.pushButton = QtWidgets.QPushButton(self.widget) self.pushButton.setGeometry(QtCore.QRect(210, 150, 88, 31)) icon4 = QtGui.QIcon() icon4.addPixmap(QtGui.QPixmap(":/icons/icons/download-icon-6.jpg"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton.setIcon(icon4) self.pushButton.setIconSize(QtCore.QSize(30, 20)) self.pushButton.setObjectName("pushButton") self.pushButton_2 = QtWidgets.QPushButton(self.widget) self.pushButton_2.setGeometry(QtCore.QRect(410, 70, 88, 31)) icon5 = QtGui.QIcon() icon5.addPixmap(QtGui.QPixmap(":/icons/icons/loupe.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_2.setIcon(icon5) self.pushButton_2.setIconSize(QtCore.QSize(20, 20)) self.pushButton_2.setObjectName("pushButton_2") self.lineEdit = QtWidgets.QLineEdit(self.widget) self.lineEdit.setGeometry(QtCore.QRect(90, 30, 411, 31)) self.lineEdit.setObjectName("lineEdit") self.label_2 = QtWidgets.QLabel(self.widget) self.label_2.setGeometry(QtCore.QRect(0, 70, 81, 21)) self.label_2.setObjectName("label_2") self.progressBar = QtWidgets.QProgressBar(self.widget) self.progressBar.setGeometry(QtCore.QRect(90, 110, 411, 23)) self.progressBar.setProperty("value", 0) self.progressBar.setObjectName("progressBar") self.label = QtWidgets.QLabel(self.widget) self.label.setGeometry(QtCore.QRect(0, 30, 81, 21)) self.label.setObjectName("label") self.label_29 = QtWidgets.QLabel(self.widget) self.label_29.setGeometry(QtCore.QRect(210, 0, 111, 16)) font = QtGui.QFont() font.setFamily("MS Serif") font.setPointSize(10) font.setBold(True) font.setWeight(75) self.label_29.setFont(font) self.label_29.setObjectName("label_29") self.tabWidget.addTab(self.tab_2, "") self.tab_3 = QtWidgets.QWidget() self.tab_3.setObjectName("tab_3") self.widget_3 = QtWidgets.QWidget(self.tab_3) self.widget_3.setGeometry(QtCore.QRect(0, 10, 501, 221)) self.widget_3.setObjectName("widget_3") self.label_6 = QtWidgets.QLabel(self.widget_3) self.label_6.setGeometry(QtCore.QRect(10, 150, 51, 21)) self.label_6.setObjectName("label_6") self.lineEdit_3 = QtWidgets.QLineEdit(self.widget_3) self.lineEdit_3.setGeometry(QtCore.QRect(90, 70, 311, 31)) self.lineEdit_3.setObjectName("lineEdit_3") self.pushButton_6 = QtWidgets.QPushButton(self.widget_3) self.pushButton_6.setGeometry(QtCore.QRect(210, 190, 88, 31)) icon6 = QtGui.QIcon() icon6.addPixmap(QtGui.QPixmap(":/icons/icons/download2.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_6.setIcon(icon6) self.pushButton_6.setIconSize(QtCore.QSize(30, 20)) self.pushButton_6.setObjectName("pushButton_6") self.pushButton_7 = QtWidgets.QPushButton(self.widget_3) self.pushButton_7.setGeometry(QtCore.QRect(410, 70, 88, 31)) self.pushButton_7.setIcon(icon5) self.pushButton_7.setIconSize(QtCore.QSize(20, 20)) self.pushButton_7.setObjectName("pushButton_7") self.lineEdit_4 = QtWidgets.QLineEdit(self.widget_3) self.lineEdit_4.setGeometry(QtCore.QRect(90, 30, 311, 31)) self.lineEdit_4.setObjectName("lineEdit_4") self.label_7 = QtWidgets.QLabel(self.widget_3) self.label_7.setGeometry(QtCore.QRect(0, 70, 81, 21)) self.label_7.setObjectName("label_7") self.progressBar_2 = QtWidgets.QProgressBar(self.widget_3) self.progressBar_2.setGeometry(QtCore.QRect(90, 150, 411, 23)) self.progressBar_2.setProperty("value", 0) self.progressBar_2.setObjectName("progressBar_2") self.label_8 = QtWidgets.QLabel(self.widget_3) self.label_8.setGeometry(QtCore.QRect(0, 30, 81, 21)) self.label_8.setObjectName("label_8") self.pushButton_8 = QtWidgets.QPushButton(self.widget_3) self.pushButton_8.setGeometry(QtCore.QRect(410, 30, 88, 31)) font = QtGui.QFont() font.setPointSize(10) font.setBold(True) font.setWeight(75) self.pushButton_8.setFont(font) self.pushButton_8.setObjectName("pushButton_8") self.label_20 = QtWidgets.QLabel(self.widget_3) self.label_20.setGeometry(QtCore.QRect(170, 0, 171, 16)) font = QtGui.QFont() font.setFamily("MS Serif") font.setPointSize(10) font.setBold(True) font.setWeight(75) self.label_20.setFont(font) self.label_20.setObjectName("label_20") self.label_31 = QtWidgets.QLabel(self.widget_3) self.label_31.setGeometry(QtCore.QRect(10, 110, 61, 31)) self.label_31.setWordWrap(True) self.label_31.setObjectName("label_31") self.textEdit_2 = QtWidgets.QTextEdit(self.widget_3) self.textEdit_2.setGeometry(QtCore.QRect(90, 110, 411, 31)) self.textEdit_2.setObjectName("textEdit_2") self.tabWidget.addTab(self.tab_3, "") self.tab_7 = QtWidgets.QWidget() self.tab_7.setObjectName("tab_7") self.widget_7 = QtWidgets.QWidget(self.tab_7) self.widget_7.setGeometry(QtCore.QRect(0, 10, 521, 221)) self.widget_7.setObjectName("widget_7") self.label_17 = QtWidgets.QLabel(self.widget_7) self.label_17.setGeometry(QtCore.QRect(10, 150, 51, 21)) self.label_17.setObjectName("label_17") self.lineEdit_9 = QtWidgets.QLineEdit(self.widget_7) self.lineEdit_9.setGeometry(QtCore.QRect(90, 70, 311, 31)) self.lineEdit_9.setObjectName("lineEdit_9") self.pushButton_12 = QtWidgets.QPushButton(self.widget_7) self.pushButton_12.setGeometry(QtCore.QRect(210, 190, 88, 31)) icon7 = QtGui.QIcon() icon7.addPixmap(QtGui.QPixmap(":/icons/icons/home_download.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_12.setIcon(icon7) self.pushButton_12.setIconSize(QtCore.QSize(30, 20)) self.pushButton_12.setObjectName("pushButton_12") self.pushButton_13 = QtWidgets.QPushButton(self.widget_7) self.pushButton_13.setGeometry(QtCore.QRect(410, 70, 88, 31)) self.pushButton_13.setIcon(icon5) self.pushButton_13.setIconSize(QtCore.QSize(20, 20)) self.pushButton_13.setObjectName("pushButton_13") self.lineEdit_10 = QtWidgets.QLineEdit(self.widget_7) self.lineEdit_10.setGeometry(QtCore.QRect(90, 30, 311, 31)) self.lineEdit_10.setObjectName("lineEdit_10") self.label_18 = QtWidgets.QLabel(self.widget_7) self.label_18.setGeometry(QtCore.QRect(0, 70, 81, 21)) self.label_18.setObjectName("label_18") self.progressBar_5 = QtWidgets.QProgressBar(self.widget_7) self.progressBar_5.setGeometry(QtCore.QRect(90, 150, 411, 23)) self.progressBar_5.setProperty("value", 0) self.progressBar_5.setObjectName("progressBar_5") self.label_19 = QtWidgets.QLabel(self.widget_7) self.label_19.setGeometry(QtCore.QRect(0, 30, 81, 21)) self.label_19.setObjectName("label_19") self.label_22 = QtWidgets.QLabel(self.widget_7) self.label_22.setGeometry(QtCore.QRect(210, 0, 121, 16)) font = QtGui.QFont() font.setFamily("MS Serif") font.setPointSize(10) font.setBold(True) font.setWeight(75) self.label_22.setFont(font) self.label_22.setObjectName("label_22") self.textEdit = QtWidgets.QTextEdit(self.widget_7) self.textEdit.setGeometry(QtCore.QRect(90, 110, 411, 31)) self.textEdit.setObjectName("textEdit") self.label_30 = QtWidgets.QLabel(self.widget_7) self.label_30.setGeometry(QtCore.QRect(10, 110, 61, 31)) self.label_30.setWordWrap(True) self.label_30.setObjectName("label_30") self.pushButton_9 = QtWidgets.QPushButton(self.widget_7) self.pushButton_9.setGeometry(QtCore.QRect(410, 30, 88, 31)) font = QtGui.QFont() font.setPointSize(10) font.setBold(True) font.setWeight(75) self.pushButton_9.setFont(font) self.pushButton_9.setObjectName("pushButton_9") self.tabWidget.addTab(self.tab_7, "") self.tab_4 = QtWidgets.QWidget() self.tab_4.setObjectName("tab_4") self.progressBar_3 = QtWidgets.QProgressBar(self.tab_4) self.progressBar_3.setGeometry(QtCore.QRect(50, 110, 421, 31)) self.progressBar_3.setProperty("value", 10) self.progressBar_3.setObjectName("progressBar_3") self.label_4 = QtWidgets.QLabel(self.tab_4) self.label_4.setGeometry(QtCore.QRect(100, 70, 311, 31)) self.label_4.setObjectName("label_4") self.tabWidget.addTab(self.tab_4, "") self.pushButton_14 = QtWidgets.QPushButton(self.centralwidget) self.pushButton_14.setGeometry(QtCore.QRect(10, 160, 88, 41)) font = QtGui.QFont() font.setPointSize(10) self.pushButton_14.setFont(font) self.pushButton_14.setCursor(QtGui.QCursor(QtCore.Qt.PointingHandCursor)) self.pushButton_14.setText("") icon8 = QtGui.QIcon() icon8.addPixmap(QtGui.QPixmap(":/icons/icons/playlist.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_14.setIcon(icon8) self.pushButton_14.setIconSize(QtCore.QSize(40, 30)) self.pushButton_14.setObjectName("pushButton_14") self.pushButton_10 = QtWidgets.QPushButton(self.centralwidget) self.pushButton_10.setEnabled(True) self.pushButton_10.setGeometry(QtCore.QRect(10, 210, 88, 41)) font = QtGui.QFont() font.setPointSize(8) self.pushButton_10.setFont(font) self.pushButton_10.setCursor(QtGui.QCursor(QtCore.Qt.PointingHandCursor)) self.pushButton_10.setStyleSheet("selection-color: rgb(0, 0, 255);") self.pushButton_10.setText("") icon9 = QtGui.QIcon() icon9.addPixmap(QtGui.QPixmap(":/icons/icons/folder_browse-512.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.pushButton_10.setIcon(icon9) self.pushButton_10.setIconSize(QtCore.QSize(40, 35)) self.pushButton_10.setObjectName("pushButton_10") MainWindow.setCentralWidget(self.centralwidget) self.menubar = QtWidgets.QMenuBar(MainWindow) self.menubar.setGeometry(QtCore.QRect(0, 0, 614, 30)) self.menubar.setObjectName("menubar") self.menuFile = QtWidgets.QMenu(self.menubar) self.menuFile.setObjectName("menuFile") self.menuClose = QtWidgets.QMenu(self.menuFile) self.menuClose.setCursor(QtGui.QCursor(QtCore.Qt.PointingHandCursor)) icon10 = QtGui.QIcon() icon10.addPixmap(QtGui.QPixmap(".\\icons/index.png"), QtGui.QIcon.Normal, QtGui.QIcon.Off) self.menuClose.setIcon(icon10) self.menuClose.setObjectName("menuClose") self.menuEdit = QtWidgets.QMenu(self.menubar) self.menuEdit.setObjectName("menuEdit") self.menuView = QtWidgets.QMenu(self.menubar) self.menuView.setObjectName("menuView") self.menuAbout = QtWidgets.QMenu(self.menubar) self.menuAbout.setObjectName("menuAbout") self.menuDesigned_by_Ahmed_Elsheikh = QtWidgets.QMenu(self.menuAbout) self.menuDesigned_by_Ahmed_Elsheikh.setObjectName("menuDesigned_by_Ahmed_Elsheikh") MainWindow.setMenuBar(self.menubar) self.statusbar = QtWidgets.QStatusBar(MainWindow) self.statusbar.setObjectName("statusbar") MainWindow.setStatusBar(self.statusbar) self.actionoptions = QtWidgets.QAction(MainWindow) self.actionoptions.setObjectName("actionoptions") self.actionclose = QtWidgets.QAction(MainWindow) self.actionclose.setObjectName("actionclose") self.menuClose.addSeparator() self.menuFile.addAction(self.menuClose.menuAction()) self.menuDesigned_by_Ahmed_Elsheikh.addSeparator() self.menuAbout.addAction(self.menuDesigned_by_Ahmed_Elsheikh.menuAction()) self.menubar.addAction(self.menuFile.menuAction()) self.menubar.addAction(self.menuEdit.menuAction()) self.menubar.addAction(self.menuView.menuAction()) self.menubar.addAction(self.menuAbout.menuAction()) self.retranslateUi(MainWindow) self.tabWidget.setCurrentIndex(0) QtCore.QMetaObject.connectSlotsByName(MainWindow) def retranslateUi(self, MainWindow): _translate = QtCore.QCoreApplication.translate MainWindow.setWindowTitle(_translate("MainWindow", "Joud Download Manager")) self.label_9.setText(_translate("MainWindow", "Welcome To Joud Download Manager Version 2.0")) self.label_14.setText(_translate("MainWindow", "<html><head/><body><p><span style=\" color:#ff0000;\">Designed By</span></p><p><span style=\" color:#ff0000;\">Ahmed Elsheikh</span></p></body></html>")) self.groupBox_3.setWhatsThis(_translate("MainWindow", "<html><head/><body><p><br/></p></body></html>")) self.label_23.setText(_translate("MainWindow", "<html><head/><body><p align=\"center\"><span style=\" font-size:10pt;\">Download Files</span></p></body></html>")) self.label_25.setText(_translate("MainWindow", "Download Youtube Video")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab), _translate("MainWindow", "Tab 1")) self.label_3.setText(_translate("MainWindow", "Progress")) self.lineEdit_2.setPlaceholderText(_translate("MainWindow", "Browse to Select Location")) self.pushButton.setText(_translate("MainWindow", "Download")) self.pushButton.setToolTip("click to download") self.pushButton_2.setText(_translate("MainWindow", "Browse")) self.lineEdit.setPlaceholderText(_translate("MainWindow", "Past The URL here ...")) self.label_2.setText(_translate("MainWindow", "Save Location")) self.label.setText(_translate("MainWindow", "Enter The URL")) self.label_29.setText(_translate("MainWindow", "Download files")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_2), _translate("MainWindow", "Tab 2")) self.label_6.setText(_translate("MainWindow", "Progress")) self.lineEdit_3.setPlaceholderText(_translate("MainWindow", "Browse to Select Location")) self.pushButton_6.setText(_translate("MainWindow", "Download")) self.pushButton_7.setText(_translate("MainWindow", "Browse")) self.lineEdit_4.setPlaceholderText(_translate("MainWindow", "Past The URL here ...")) self.label_7.setText(_translate("MainWindow", "Save Location")) self.label_8.setText(_translate("MainWindow", "Enter The URL")) self.pushButton_8.setText(_translate("MainWindow", "Find-Data")) self.label_20.setText(_translate("MainWindow", "Youtube Video OR audio")) self.label_31.setText(_translate("MainWindow", "Video title")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_3), _translate("MainWindow", "Page")) self.label_17.setText(_translate("MainWindow", "Progress")) self.lineEdit_9.setPlaceholderText(_translate("MainWindow", "Browse to Select Location")) self.pushButton_12.setText(_translate("MainWindow", "Download")) self.pushButton_13.setText(_translate("MainWindow", "Browse")) self.lineEdit_10.setPlaceholderText(_translate("MainWindow", "Past the URL here ...")) self.label_18.setText(_translate("MainWindow", "Save Location")) self.label_19.setText(_translate("MainWindow", "Enter The URL")) self.label_22.setText(_translate("MainWindow", "Youtube Playlist")) self.label_30.setText(_translate("MainWindow", "Playlist title")) self.pushButton_9.setText(_translate("MainWindow", "Find-Data")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_7), _translate("MainWindow", "Page")) self.label_4.setText(_translate("MainWindow", "<html><head/><body><p align=\"center\"><span style=\" font-size:10pt; font-weight:600;\">This Section Is Still Under Development !!</span></p></body></html>")) self.tabWidget.setTabText(self.tabWidget.indexOf(self.tab_4), _translate("MainWindow", "Page")) self.menuFile.setTitle(_translate("MainWindow", "File")) self.menuClose.setStatusTip(_translate("MainWindow", "close the app.")) self.menuClose.setTitle(_translate("MainWindow", "Close")) self.menuEdit.setTitle(_translate("MainWindow", "Edit")) self.menuView.setTitle(_translate("MainWindow", "View")) self.menuAbout.setTitle(_translate("MainWindow", "About")) self.menuDesigned_by_Ahmed_Elsheikh.setTitle(_translate("MainWindow", "Designed by Ahmed Elsheikh")) self.actionoptions.setText(_translate("MainWindow", "options")) self.actionclose.setText(_translate("MainWindow", "close")) import res_rc

[ "Ahmedhassaninaun@gmail.com" ]

Ahmedhassaninaun@gmail.com

41dfdff35f1bc808e0a824c83762f84a235ac6d7

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/IN1000/Obligatorisk innlevering 7/spillebrett.py

10630ac1b306e3f310bd4b01509f267bdd42c866

[]

no_license

MehCheniti/Python

671d430868e1b8eeafabd7ecb1cf6684ab5c6858

1e1dc38dc874e03cb248664ff48f3cb2d497c6e5

refs/heads/master

2022-05-28T03:05:31.336202

2022-03-11T19:55:46

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0

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UTF-8

Python

false

3,974

py

from random import randint from celle import Celle class Spillebrett: """Dette er en klasse som beskriver et todimensjonalt brett som inneholder celler. Den skal også oppdatere celler som skal endre status.""" def __init__(self, rader, kolonner): self._rader = rader self._kolonner = kolonner self._rutenett = [] # Her lager jeg en nøstet for-løkke for å fylle self._rutenett med # Celle-objekter. for i in range(self._rader): rad = [] for j in range(self._kolonner): rad.append(Celle()) self._rutenett.append(rad) self._generasjonsnummer = 0 self.generer() def tegnBrett(self): # Her lager jeg en nøstet for-løkke for å kunne skrive ut hvert element # i self._rutenett. for i in self._rutenett: for j in i: print(j.hentStatusTegn(), end = " | ") # Her bruker ganger jeg ---- med antall kolonner for å det til å se # fint ut. print("\n" + "----"*self._kolonner) def oppdatering(self): dødTilLevende = [] levendeTilDød = [] for i in range(len(self._rutenett)): for j in range(len(self._rutenett[i])): # Her lager jeg en liste for verdiene finnNabo returnerer. naboliste = self.finnNabo(i, j) # Her sjekker jeg både om cellen har 2 eller 3 levende naboer # og om cellen er levende. if (len(naboliste) == 2 or len(naboliste) == 3 ) and self._rutenett[i][j].erLevende(): dødTilLevende.append(self._rutenett[i][j]) # Her sjekker jeg både om cellen ikke er levende og om den har # 3 levende naboer. elif not self._rutenett[i][j].erLevende() and len(naboliste ) == 3: dødTilLevende.append(self._rutenett[i][j]) # Her sjekker jeg hvis cellen skal fortsette å være død eller # drepes etter oppdateringen. else: levendeTilDød.append(self._rutenett[i][j]) # Her setter jeg objektene som skal leve til "levende". for i in dødTilLevende: i.settLevende() #Her setter jeg objektene som skal dø til "død" for i in levendeTilDød: i.settDoed() self._generasjonsnummer += 1 def finnAntallLevende(self): teller = 0 # Her bruker jeg en nøstet for-løkke for å finne ut hvor mange celler # er levende. for i in range(self._rader): for j in range(self._kolonner): if self._rutenett[i][j].erLevende() == True: teller += 1 return teller def generer(self): for i in range(self._rader): for j in range(self._kolonner): rand = randint(0,3) if rand == 3: self._rutenett[i][j].settLevende() def finnNabo (self, rad, kolonne): naboliste = [] for i in range (-1, 2): for j in range (-1, 2): naboRad = rad + i naboKolonne = kolonne + j if (naboRad == rad and naboKolonne == kolonne) != True: if (naboRad < 0 or naboKolonne < 0 or naboRad > self._rader-1 or naboKolonne > self._kolonner-1) != True: # Her endrer jeg på metoden slik at den returnerer en # liste kun av levende naboer. if self._rutenett[naboRad][naboKolonne].erLevende(): naboliste.append(self._rutenett[naboRad] [naboKolonne]) return naboliste # Her definerer jeg en metode som returnerer generasjonsnummeret. def generasjonsnummer(self): return self._generasjonsnummer

[ "mehdiwx91@hotmail.com" ]

mehdiwx91@hotmail.com

785fdd86b44a7160a436e651f6b5f7d38e8a7e52

4f5f40a874a9ae17d25cb2fe8cac5fba327b5265

/tests/conf_zephyr_run_qemu.py

e683bc210b8ce4e89d3e1b4495bb74d9dbf06c3b

[ "Apache-2.0" ]

permissive

dickeylim/tcf

4f580b507d381542f22c0899e4922add13f76926

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refs/heads/master

2020-06-25T16:30:34.613115

2019-08-27T18:39:25

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2019-07-29T02:48:55

2019-07-29T02:48:54

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UTF-8

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434

py

#! /usr/bin/python2 # # Copyright (c) 2017 Intel Corporation # # SPDX-License-Identifier: Apache-2.0 # ttbl.config.target_add(tt_qemu_zephyr("qemu-01", [ "x86" ]), target_type = "qemu-x86") ttbl.config.target_add(tt_qemu_zephyr("qemu-02", [ "x86" ]), target_type = "qemu-x86") ttbl.config.target_add(tt_qemu_zephyr("qemu-03", [ "x86" ]), target_type = "qemu-x86")

[ "inaky.perez-gonzalez@intel.com" ]

inaky.perez-gonzalez@intel.com

3513cfbf809ce88471e833d75ea30155f8ab6609

1d7256a89de883ddd45a7731d309aae404491035

/information_boards/old_codes/c_individual_analysis/c2_summary/__c2_s3_driver_productivity_economic_profit.py

7e13814a869c481bc3257381a541f694cb18d25c

[]

no_license

M20190649/taxi_projects

a559329366fe2357b826909543a54b12b6d98301

b910e2308d4725e88fb00714e489b1291cfeb215

refs/heads/master

2021-06-17T15:14:55.849298

2017-06-01T10:17:23

null

0

null

UTF-8

Python

false

3,929

py

import __init__ # @UnresolvedImport # @UnusedImport # from __init__ import SEC3600, CENT from c_individual_analysis.__init__ import ftd_gen_prod_db_for_ap, ftd_ap_prod_eco_prof_db from c_individual_analysis.__init__ import ftd_gen_prod_db_for_ns, ftd_ns_prod_eco_prof_db from __init__ import dfs from __init__ import Y09_GEN, Y10_GEN, Y09_PIAP, Y10_PIAP, Y09_POAP, Y10_POAP, Y09_PINS, Y10_PINS, Y09_PONS, Y10_PONS # from taxi_common.file_handling_functions import remove_file, save_pickle_file # def run(): for path in [ftd_gen_prod_db_for_ap, ftd_gen_prod_db_for_ns, ftd_ap_prod_eco_prof_db, ftd_ns_prod_eco_prof_db]: remove_file(path) # ap_productivity_economical_profit() ns_productivity_economical_profit() def general_productivities(full_drivers): drivers_hourly_producities = [] for i in [Y09_GEN, Y10_GEN]: df = dfs[i] df = df[((df['prod'] - df['prod'].mean()) / df['prod'].std()).abs() < 3] df = df[df['did'].isin(full_drivers)] df_gb = df.groupby(['did']) drivers_avg_productivities = df_gb.mean()['prod'].to_frame('avg_prod').reset_index() drivers_hourly_producities.append( {did : total_prod * SEC3600 / CENT for did, total_prod in drivers_avg_productivities.values}) return drivers_hourly_producities def ap_productivity_economical_profit(): # # drivers who operate taxi in both years # df = dfs[Y09_PIAP] df = df[((df['prod'] - df['prod'].mean()) / df['prod'].std()).abs() < 3] df = df[((df['eco-profit'] - df['eco-profit'].mean()) / df['eco-profit'].std()).abs() < 3] ap_full_drivers = set(df['did']) for i in [Y10_PIAP, Y09_POAP, Y10_POAP]: df = dfs[i] df = df[((df['prod'] - df['prod'].mean()) / df['prod'].std()).abs() < 3] df = df[((df['eco-profit'] - df['eco-profit'].mean()) / df['eco-profit'].std()).abs() < 3] ap_full_drivers = ap_full_drivers.intersection(set(df['did'])) # save_pickle_file(ftd_gen_prod_db_for_ap, general_productivities(ap_full_drivers)) save_pickle_file(ftd_ap_prod_eco_prof_db, get_driver_average(ap_full_drivers, [Y09_PIAP, Y10_PIAP, Y09_POAP, Y10_POAP])) def ns_productivity_economical_profit(): # # drivers who operate taxi in both years # df = dfs[Y09_PINS] df = df[((df['prod'] - df['prod'].mean()) / df['prod'].std()).abs() < 3] df = df[((df['eco-profit'] - df['eco-profit'].mean()) / df['eco-profit'].std()).abs() < 3] ns_full_drivers = set(df['did']) for i in [Y10_PINS, Y09_PONS, Y10_PONS]: df = dfs[i] df = df[((df['prod'] - df['prod'].mean()) / df['prod'].std()).abs() < 3] df = df[((df['eco-profit'] - df['eco-profit'].mean()) / df['eco-profit'].std()).abs() < 3] ns_full_drivers = ns_full_drivers.intersection(set(df['did'])) # save_pickle_file(ftd_gen_prod_db_for_ns, general_productivities(ns_full_drivers)) save_pickle_file(ftd_ns_prod_eco_prof_db, get_driver_average(ns_full_drivers, [Y09_PINS, Y10_PINS, Y09_PONS, Y10_PONS])) def get_driver_average(full_drivers, df_indices): # # filter our part-time drivers # and save each drivers' productivities and economical profits # drivers_prod_eco_prof = [] for i in df_indices: df = dfs[i] df = df[df['did'].isin(full_drivers)] gb_df = df.groupby(['did']) drivers_ap_prod = gb_df.mean()['prod'].to_frame('avg_prod').reset_index() drivers_ap_prod_hour = {did : ap_prod * SEC3600 / CENT for did, ap_prod in drivers_ap_prod.values} # drivers_eco_prof = gb_df.mean()['eco-profit'].to_frame('avg_eco_pro').reset_index() drivers_eco_prof_month = {did : eco_pro / CENT for did, eco_pro in drivers_eco_prof.values} # drivers_prod_eco_prof.append([drivers_ap_prod_hour, drivers_eco_prof_month]) return drivers_prod_eco_prof if __name__ == '__main__': run()

[ "jerryhan88@gmail.com" ]

jerryhan88@gmail.com

5bd7459e82b82c92a904f9a7bc161ed705b59c9c

c98195975cfacacfe81fa31e37883a9a54a294e8

/asn_server/Demos/system/resourceIntensive/cov1svd.py

304fd7a46a9e93b7f6d537e6aa183798ed992b09

[ "Apache-2.0" ]

permissive

konradhorbach/MARVELO

d51111a248a1701fac6f9afaecd24c66532f9b1c

aa81d855cc42ec24459c5033831744686c70d315

refs/heads/master

2022-12-12T12:07:14.636765

2020-09-11T14:00:07

null

0

null

UTF-8

Python

false

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#!/usr/bin/env python import os,sys import argparse from scipy import linalg as LA import numpy as np from scipy.io import wavfile #%---------------- Start Additional Resource intesive method import threading, time, sys runTime = 5 fileName = "cov1SVD: " def r_intensive_func (fileName,itime): start = time.time() while time.time()-start <itime: v = int ((time.time()-start)/itime*100) sys.stdout.write("\r%s%%" % fileName+ str(v) ) sys.stdout.flush() 100**100 print "\nDone" thread = threading.Thread(target=r_intensive_func, args=[fileName,runTime]) print "Start\n" thread.start() #%---------------- End Additional Resource intesive method def parse_arguments(): parser = argparse.ArgumentParser(description='arguments') parser.add_argument("--file", "-f", default="") parser.add_argument("--inputs", "-i", action="append") parser.add_argument("--outputs", "-o", action="append") parser.add_argument("--logfiles", "-l", default=["/home/asn/asn_daemon/logfiles/dummy.log"], action="append") return parser.parse_args() args = parse_arguments() PACKETSIZE = 4096 #send data in 4KB packets (2KB or 1024 samples per channel equals shift amount used in processing blocks!) inputs = [os.fdopen(int(f), 'rb') for f in args.inputs] audio1= np.array([]) audio2= np.array([]) for pcount in range(13): signal1 = np.fromfile(inputs[0], dtype=np.uint8, count=4096) signal2 = np.fromfile(inputs[1], dtype=np.uint8, count=4096) audio1= np.append(audio1,signal1) audio2= np.append(audio2,signal2) audio1 = audio1[:50000] / 255.0 - 0.5 # uint8 takes values from 0 to 255 audio2 = audio2[:50000] / 255.0 - 0.5 # uint8 takes values from 0 to 255 samplingRate = 8000 wavfile.write('/home/asn/asn_daemon/logfiles/rxcov1.wav', samplingRate, audio1[:50000]) wavfile.write('/home/asn/asn_daemon/logfiles/rxcov2.wav', samplingRate, audio2[:50000]) x = [audio1, audio2] cov = np.cov(x) d, E = LA.eigh(cov) D = np.diag(d) pipes = [os.fdopen(int(f), 'wb') for f in args.outputs] pipes[0].write(D) pipes[0].flush() #print E.flags E = E.copy(order='C') #print 'new', E.flags pipes[1].write(E) pipes[1].flush() pipes[2].write(np.array(x).reshape(1,100000)) pipes[2].flush() for pipe in pipes: pipe.close() print 'finished cov1***********************'

[ "hafifi@mail.uni-paderborn.de" ]

hafifi@mail.uni-paderborn.de

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8f270db082a7f46ecfe9d68a37ebe8d06e89efb9

/fastaSubset.py

c44fb4d280cb2eed91fb99c10840d899664e3012

[ "Unlicense" ]

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jharman25/phylo_tools

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refs/heads/master

2020-07-04T08:42:02.724540

2015-09-15T18:04:38

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#!/usr/bin/env python __description__ = \ """ Take a subset of the entries in a fasta file where something in the header matches "pattern". -e forces an exact match to everything after >. """ __usage__ = "fastaSubset.py fasta_file pattern OR file_with_patterns [-e]" __author__ = "Michael J. Harms" __date__ = "110604" import sys, re, os class FastaSubsetError(Exception): """ Error class. """ pass def fastaSubset(fasta_file,patterns,collapse=True,exact=False,inverse=False): """ Take a subset of entries in a fasta file according to whether or not the header contains one of the patterns in patterns. If collapse == True, collapse the entire sequence onto a single line. """ compiled_patterns = [re.compile(p) for p in patterns] f = open(fasta_file,'r') out = [] recording = False line = f.readline() while line != "": # If this is a new entry... if line.startswith(">"): # If we've been recording the previous entry, print it out if len(out) != 0: if collapse == True: out = [o.strip() for o in out] out[0] = "%s\n" % out[0] print "".join(out) else: print "".join(out), sys.stdout.flush() out = [] # Now see if this entry is matches one of the patterns recording = False if exact: line_search = "%s\n" % line else: line_search = "%s" % line if not inverse: for p in compiled_patterns: if p.search(line_search) != None: recording = True break else: recording = True for p in compiled_patterns: if p.search(line_search) != None: recording = False break # If we're recording, er, record if recording == True: out.append(line) line = f.readline() # Print the last sequence if len(out) != 0: if collapse == True: out = [o.strip() for o in out] out[0] = "%s\n" % out[0] print "".join(out) else: print "".join(out), f.close() def main(argv=None): """ Main function to parse command line. """ if argv == None: argv = sys.argv[1:] try: fasta_file = argv[0] pattern = argv[1] except IndexError: err = "Incorrect number of arguments!\nUSAGE:\n\n%s\n\n" % __usage__ raise FastaSubsetError(err) # Grab optional "exact match" argument try: if argv[2] == "-e": exact = True else: err = "Argument %s not recognized!\n" % argv[2] raise FastaSubsetError(err) except IndexError: exact = False if os.path.exists(pattern): f = open(pattern,'r') lines = f.readlines() lines = [l.split("#")[0].strip() for l in lines] if exact: patterns = ["%s\n" % l for l in lines if l != ""] else: patterns = [l for l in lines if l != ""] if len(patterns) == 0: err = "Specified pattern file (%s) does not contain any lines!\n" err = "%s" % err raise FastaSubsetError(err) else: patterns = [pattern] fastaSubset(fasta_file,patterns,exact=exact) if __name__ == "__main__": main()

[ "harmsm@gmail.com" ]

harmsm@gmail.com

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/main_menu.py

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[]

no_license

jmcgalliard/Clong

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refs/heads/master

2021-06-20T19:41:26.431392

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import pygame import screen import colors import game_fonts import play_game def main_menu(): # MODES # 1 - Main Menu # 2 - Single Player chosen_text = 1 mode = 1 ## GAME LOOP ## done = False while not done: for event in pygame.event.get(): if event.type == pygame.QUIT: done = True keydown = pygame.key.get_pressed() if keydown[pygame.K_DOWN]: if chosen_text < 5: chosen_text += 1 elif chosen_text == 5: chosen_text = 1 if keydown[pygame.K_UP]: if chosen_text > 1: chosen_text -= 1 elif chosen_text == 1: chosen_text = 5 if keydown[pygame.K_RETURN]: if chosen_text == 1: mode = 2 if mode == 1: # Logic goes here single_player_color = colors.GRAY multi_player_color = colors.GRAY high_scores_color = colors.GRAY credits_color = colors.GRAY exit_color = colors.GRAY colors_list = [] colors_list.append(single_player_color) colors_list.append(multi_player_color) if chosen_text == 1: single_player_color = colors.WHITE elif chosen_text == 2: multi_player_color = colors.WHITE elif chosen_text == 4: credits_color = colors.WHITE elif chosen_text == 3: high_scores_color = colors.WHITE elif chosen_text == 5: exit_color = colors.WHITE single_player = game_fonts.game_font.render("Single Player", 20, single_player_color) multi_player = game_fonts.game_font.render("Multiplayer", 20, multi_player_color) high_scores = game_fonts.game_font.render("High Scores", 20, high_scores_color) credits = game_fonts.game_font.render("Credits", 20, credits_color) exit = game_fonts.game_font.render("Exit ", 20, exit_color) # Fill the screen screen.screen.fill(colors.BLACK) # Drawing should go here, before flip and after fill screen.screen.blit(single_player, (100, 100)) screen.screen.blit(multi_player, (100, 150)) screen.screen.blit(high_scores, (100, 200)) screen.screen.blit(credits, (100, 250)) screen.screen.blit(exit, (100, 300)) # Updates contents of entire display pygame.display.flip() elif mode == 2: screen.screen.fill(colors.WHITE) credits = game_fonts.game_font_2.render("SINGLE PLAYER", 20, colors.BLACK) screen.screen.blit(credits, (20,480)) pygame.display.flip() main_menu()

[ "j83001@gmail.com" ]

j83001@gmail.com

c9ca527ad941bf382ae6356b9477118e827b1c7c

803c669ed1c9b3f2f9cb227c3e36b38b9b14064c

/미정리/bj_2178_미로탐색_숏코딩.py

f7a99dd8a9e2af996f3d5c6422be222d578b80f9

[]

no_license

steddybag/Algorithm-and-SP

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refs/heads/master

2023-04-11T06:29:06.315421

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import sys sys.stdin = open('input.txt','r') n, m = map(int,input().split()) queue = [] dx = [0,-1,1,0] dy = [1,0,0,-1] s = [list(input()) for _ in range(n)] queue = [[0,0]] #어렵게 생각하지 말고 직관적으로 생각할 것 s[0][0] = 1 while queue: a, b = queue[0][0],queue[0][1] queue.pop(0) for i in range(4): x = a+dx[i] y = b+dy[i] if n>x>=0 and m>y>=0 and s[x][y] == '1': queue.append([x,y]) s[x][y] = s[a][b] + 1 #작은 단위에서 늘어난다는 식으로 생각 print(s[n-1][m-1])

[ "dongju695@gmail.com" ]

dongju695@gmail.com

eb99f204e73b205ce9d460b46f43410ac639d478

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/code/codility/prefix_sum_prefix_sum_passing_cars__.py

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dinkar1708/coding_interview

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2021-08-22T11:44:14.611053

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def solution(A): """ Dinakar https://app.codility.com/demo/results/training6SEGRM-7Q2/ Use suffix some - from right side each 1 must be passing zero cars if found.. [0, 1, 0, 1, 1] [3, 3, 2-->must pass previous cars right side of it, 2, 1] ---- """ print(A) len_ar = len(A) suffix_sum = [0] * (len_ar + 1) total = 0 # loop start from end, up to -1 and decrement by 1 for i in range(len_ar - 1, -1, -1): # print(i) suffix_sum[i] = A[i] + suffix_sum[i + 1] print("suffix sum here...") print(suffix_sum) if A[i] == 0: total += suffix_sum[i] print(total) if total > 1000000000: return -1 return total result = solution([0, 1, 0, 1, 1]) print("") print("Solution " + str(result)) """ [0, 1, 0, 1, 1] suffix sum here... [0, 0, 0, 0, 1, 0] suffix sum here... [0, 0, 0, 2, 1, 0] suffix sum here... [0, 0, 2, 2, 1, 0] 2 suffix sum here... [0, 3, 2, 2, 1, 0] suffix sum here... [3, 3, 2, 2, 1, 0] 5 Solution 5 """

[ "dinkar1708@gmail.com" ]

dinkar1708@gmail.com

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/lib/MapFastq.py

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tweirick/RNAEditor

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refs/heads/master

2021-01-21T13:21:50.465755

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#!/usr/bin/python import argparse import os import multiprocessing from Helper import Helper class MapFastq(object): """ Maps a fastQ file to the given genome/ """ def __init__(self, rna_edit_obj): """ Constructor """ self.rnaEdit = rna_edit_obj # Set fastq files and check if the qualities need to be converted. if self.rnaEdit.params.paired is True: fastq_1_is_phred33 = Helper.isPhred33Encoding( self.rnaEdit.fastq_files[0], 1000000, self.rnaEdit.logFile, self.rnaEdit.textField) fastq_2_is_phred33 = Helper.isPhred33Encoding( self.rnaEdit.fastq_files[1], 1000000, self.rnaEdit.logFile, self.rnaEdit.textField) if not fastq_1_is_phred33 or not fastq_2_is_phred33: # Convert to phred33. self.fastqFile1 = Helper.convertPhred64toPhred33( self.rnaEdit.fastq_files[0], self.rnaEdit.params.output + "_1_phred33.fastq", self.rnaEdit.logFile, self.rnaEdit.textField) self.fastqFile2 = Helper.convertPhred64toPhred33( self.rnaEdit.fastq_files[1], self.rnaEdit.params.output + "_2_phred33.fastq", self.rnaEdit.logFile, self.rnaEdit.textField) else: self.fastqFile1 = self.rnaEdit.fastq_files[0] self.fastqFile2 = self.rnaEdit.fastq_files[1] elif not self.rnaEdit.params.paired: # Convert to phred33. fastq_is_phred33 = Helper.isPhred33Encoding( self.rnaEdit.fastq_files[0], 1000000, self.rnaEdit.logFile, self.rnaEdit.textField) if not fastq_is_phred33: self.fastqFile1 = Helper.convertPhred64toPhred33( self.rnaEdit.fastq_files[0], self.rnaEdit.params.output + "_1_phred33.fastq", self.rnaEdit.logFile, self.rnaEdit.textField) else: self.fastqFile = self.rnaEdit.fastq_files[0] def printAttributes(self): Helper.info("*** MAP READS WITH FOLLOWING ATTRIBUTES ***", self.rnaEdit.logFile, self.rnaEdit.textField) if self.rnaEdit.params.paired: Helper.info("\t FastQ-File_1: " + self.fastqFile1, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t FastQ-File_2: " + self.fastqFile2, self.rnaEdit.logFile, self.rnaEdit.textField) else: Helper.info("\t FastQ-File: " + self.fastqFile, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t outfilePrefix:" + self.rnaEdit.params.output, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t refGenome:" + self.rnaEdit.params.refGenome, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t dbsnp:" + self.rnaEdit.params.dbsnp, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t sourceDir:" + self.rnaEdit.params.sourceDir, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t threads:" + self.rnaEdit.params.threads, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t maxDiff:" + self.rnaEdit.params.maxDiff, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t seedDiff:" + self.rnaEdit.params.seedDiff, self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t paired:" + str(self.rnaEdit.params.paired), self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t keepTemp:" + str(self.rnaEdit.params.keepTemp), self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("\t overwrite:" + str(self.rnaEdit.params.overwrite), self.rnaEdit.logFile, self.rnaEdit.textField) Helper.info("", self.rnaEdit.logFile, self.rnaEdit.textField) def startAnalysis(self): recalibrated_bam_file = self.rnaEdit.params.output+".noDup.realigned.recalibrated.bam" if os.path.isfile(recalibrated_bam_file): Helper.info( "* * * [Skipping] Mapping result File already exists * * *", self.rnaEdit.logFile, self.rnaEdit.textField) self.rnaEdit.logFile.flush() return recalibrated_bam_file if self.rnaEdit.params.paired: # For paired end sequencing. # Align first Fastq Reads to the Genome sai_file_1 = self.rnaEdit.params.output+"_1.sai" cmd = [ self.rnaEdit.params.sourceDir+"bwa", "aln", "-t", self.rnaEdit.params.threads, "-n", self.rnaEdit.params.maxDiff, "-k", self.rnaEdit.params.seedDiff, self.rnaEdit.params.refGenome, self.fastqFile1 ] Helper.proceedCommand("Align first Reads with BWA", cmd, self.fastqFile1, sai_file_1, self.rnaEdit) # Align second Fastq Reads to the Genome sai_file_2 = self.rnaEdit.params.output+"_2.sai" cmd = [ self.rnaEdit.params.sourceDir+"bwa", "aln", "-t", self.rnaEdit.params.threads, "-n", self.rnaEdit.params.maxDiff, "-k", self.rnaEdit.params.seedDiff, self.rnaEdit.params.refGenome, self.fastqFile2 ] Helper.proceedCommand("Align second Reads with BWA", cmd, self.fastqFile2, sai_file_2, self.rnaEdit) # Convert sai to sam sam_file = self.rnaEdit.params.output+".sam" cmd = [ self.rnaEdit.params.sourceDir + "bwa", "sampe", "-r", "@RG\tID:bwa\tSM:A\tPL:ILLUMINA\tPU:HiSEQ2000", self.rnaEdit.params.refGenome, sai_file_1, sai_file_2, self.fastqFile1, self.fastqFile2 ] Helper.proceedCommand("convert sai to sam", cmd, sai_file_1, sam_file, self.rnaEdit) else: # For single end sequencing. # Align Fastq Reads to the Genome. sai_file = self.rnaEdit.params.output+".sai" cmd = [ self.rnaEdit.params.sourceDir+"bwa", "aln", "-t", self.rnaEdit.params.threads, "-n", self.rnaEdit.params.maxDiff, "-k", self.rnaEdit.params.seedDiff, self.rnaEdit.params.refGenome, self.fastqFile ] Helper.proceedCommand("Align Reads with BWA", cmd, self.fastqFile, sai_file, self.rnaEdit) # Convert sai to sam. sam_file = self.rnaEdit.params.output+".sam" cmd = [ self.rnaEdit.params.sourceDir + "bwa", "samse", "-r", "@RG\tID:bwa\tSM:A\tPL:ILLUMINA\tPU:HiSEQ2000", self.rnaEdit.params.refGenome, sai_file, self.fastqFile ] Helper.proceedCommand("convert sai to sam", cmd, sai_file, sam_file, self.rnaEdit) # Convert sam to bam. unsorted_bam_file = self.rnaEdit.params.output+".unsorted.bam" bam_file = self.rnaEdit.params.output+".bam" cmd = [self.rnaEdit.params.sourceDir + "samtools", "sort", sam_file, "-o", bam_file] Helper.proceedCommand("Sort Bam File", cmd, sam_file, bam_file, self.rnaEdit) cmd = [self.rnaEdit.params.sourceDir + "samtools", "index", bam_file] Helper.proceedCommand("Index Bam File", cmd, sam_file, bam_file+".bai", self.rnaEdit) # mark PCR duplicates marked_file = self.rnaEdit.params.output+".noDup.bam" cmd = [ "java", "-Xmx16G", "-jar", self.rnaEdit.params.sourceDir + "picard-tools/MarkDuplicates.jar", "INPUT=" + bam_file, "OUTPUT=" + marked_file, "METRICS_FILE="+self.rnaEdit.params.output+".pcr.metrics", "VALIDATION_STRINGENCY=LENIENT", "CREATE_INDEX=true" ] Helper.proceedCommand("Remove PCR duplicates", cmd, bam_file, marked_file, self.rnaEdit) # Identify Target Regions for realignment interval_file = self.rnaEdit.params.output+".indels.intervals" cmd = [ "java", "-Xmx16G", "-jar", self.rnaEdit.params.sourceDir + "GATK/GenomeAnalysisTK.jar", "-nt", self.rnaEdit.params.threads, "-T", "RealignerTargetCreator", "-R", self.rnaEdit.params.refGenome, "-I", marked_file, "-o", interval_file, "-l", "ERROR" ] Helper.proceedCommand("Identify Target Regions for realignment", cmd, bam_file, interval_file, self.rnaEdit) # Proceed with realignment. realigned_file = self.rnaEdit.params.output+".noDup.realigned.bam" cmd = [ "java", "-Xmx16G", "-jar", self.rnaEdit.params.sourceDir + "GATK/GenomeAnalysisTK.jar", "-T", "IndelRealigner", "-R", self.rnaEdit.params.refGenome, "-I", marked_file, "-l", "ERROR", "-targetIntervals", interval_file, "-o", realigned_file ] Helper.proceedCommand("Proceed Realignment", cmd, interval_file, realigned_file, self.rnaEdit) # Find Quality Score recalibration spots. recal_file = self.rnaEdit.params.output+".recalSpots.grp" cmd = [ "java", "-Xmx16G", "-jar", self.rnaEdit.params.sourceDir + "GATK/GenomeAnalysisTK.jar", "-T", "BaseRecalibrator", "-l", "ERROR", "-R", self.rnaEdit.params.refGenome, "-knownSites", self.rnaEdit.params.dbsnp, "-I", realigned_file, "-cov", "CycleCovariate", "-cov", "ContextCovariate", "-o", recal_file] print(" ".join(cmd)) Helper.proceedCommand("Find Quality Score recalibration spots", cmd, realigned_file, recal_file, self.rnaEdit) # Proceed quality score recalibration. cmd = [ "java", "-Xmx16G", "-jar", self.rnaEdit.params.sourceDir + "GATK/GenomeAnalysisTK.jar", "-T", "PrintReads", "-l", "ERROR", "-R", self.rnaEdit.params.refGenome, "-I", realigned_file, "-BQSR", recal_file, "-o", recalibrated_bam_file ] Helper.proceedCommand("Proceed Quality Score recalibration", cmd, recal_file, recalibrated_bam_file, self.rnaEdit) return recalibrated_bam_file def cleanUp(self): if not self.rnaEdit.params.keepTemp: if os.path.isfile(self.rnaEdit.params.output+".sai"): os.remove(self.rnaEdit.params.output+".sai") if os.path.isfile(self.rnaEdit.params.output+".sam"): os.remove(self.rnaEdit.params.output+".sam") if os.path.isfile(self.rnaEdit.params.output+".bam"): os.remove(self.rnaEdit.params.output+".bam") if os.path.isfile(self.rnaEdit.params.output+".unsorted.bam"): os.remove(self.rnaEdit.params.output+".unsorted.bam") if os.path.isfile(self.rnaEdit.params.output+".bam.bai"): os.remove(self.rnaEdit.params.output+".bam.bai") if os.path.isfile(self.rnaEdit.params.output+".indels.intervals"): os.remove(self.rnaEdit.params.output+".indels.intervals") if os.path.isfile(self.rnaEdit.params.output+".noDup.bam"): os.remove(self.rnaEdit.params.output+".noDup.bam") if os.path.isfile(self.rnaEdit.params.output+".noDup.bam.bai"): os.remove(self.rnaEdit.params.output+".noDup.bam.bai") if os.path.isfile(self.rnaEdit.params.output+".noDup.realigned.bam"): os.remove(self.rnaEdit.params.output+".noDup.realigned.bam") if os.path.isfile(self.rnaEdit.params.output+".noDup.realigned.bai"): os.remove(self.rnaEdit.params.output+".noDup.realigned.bai") if os.path.isfile(self.rnaEdit.params.output+".recalSpots.grp"): os.remove(self.rnaEdit.params.output+".recalSpots.grp") # os.remove(self.outfilePrefix+".realigned.marked.recalibrated.bam") def checkDependencies(args): """ Checks the existence of the necessary packages and tools :param args: """ Helper.newline(1) Helper.info("CHECK DEPENDENCIES") # Check if all tools are present. if not os.path.isfile(args.sourceDir+"bwa"): Helper.error("BWA not found in %s" % args.sourceDir) if not os.path.isfile(args.sourceDir+"picard-tools/SortSam.jar"): Helper.error("SortSam.jar not found in %s" % args.sourceDir+"picard-tools") if not os.path.isfile(args.sourceDir+"picard-tools/MarkDuplicates.jar"): Helper.error("MarkDuplicates.jar not found in %s" % args.sourceDir+"picard-tools") if not os.path.isfile(args.sourceDir+"GATK/GenomeAnalysisTK.jar"): Helper.error("GenomeAnalysisTK.jar not found in %s" % args.sourceDir+"GATK/") if not os.path.isfile(args.sourceDir+"samtools"): Helper.error("samtools not found in %s" % args.sourceDir) if not os.system("java -version") == 0: Helper.error("Java could not be found, Please install java") # Check if all files are present. if not os.path.isfile(args.RefGenome): Helper.error("Could not find Reference Genome in %s: " % args.RefGenome) # Files for BWA if not os.path.isfile(args.RefGenome+".amb"): Helper.error("Could not find %s.amb" % args.RefGenome) Helper.error("run: 'bwa index %s' to create it" % args.RefGenome) if not os.path.isfile(args.RefGenome+".ann"): Helper.error("Could not find %s.ann" % args.RefGenome) Helper.error("run: 'bwa index %s' to create it" % args.RefGenome) if not os.path.isfile(args.RefGenome+".bwt"): Helper.error("Could not find %s.bwt" % args.RefGenome) Helper.error("run: 'bwa index %s' to create it" % args.RefGenome) if not os.path.isfile(args.RefGenome+".pac"): Helper.error("Could not find %s.pac" % args.RefGenome) Helper.error("run: 'bwa index %s' to create it" % args.RefGenome) if not os.path.isfile(args.RefGenome+".sa"): Helper.error("Could not find %s.sa" % args.RefGenome) Helper.error("run: 'bwa index %s' to create it" % args.RefGenome) # Files for GATK if not os.path.isfile(args.RefGenome.replace(".fastq", ".dict")): Helper.error("Could not find %s" % args.RefGenome.replace(".fastq", ".dict")) Helper.error( "run: 'java -jar %s/picard-tools/CreateSequenceDictionary.jar R=%s O= %s.dict' to create it" % (args.sourceDir, args.RefGenome, args.RefGenome.replace(".fastq", ".dict"))) if not os.path.isfile(args.RefGenome+".fai"): Helper.error("Could not find %s.fai" % args.RefGenome) Helper.error("run: 'samtools faidx %s' to create it" % args.RefGenome) # SNP databases if not os.path.isfile(args.dbsnp): Helper.error("Could not find %s: " % args.dbsnp) if __name__ == '__main__': # Parse command line arguments and set defaults. parser = argparse.ArgumentParser( description='map FastQ Files to the given genome and realigns the reads for SNP-calling.') parser.add_argument( '-i', '--input', metavar='Fastq-File', type='+', help='Input fastq files (maximum two for paire-end-sequencing)', required=True ) parser.add_argument( "-r", "--RefGenome", metavar='Fasta-File', help="File that contains the reference sequences", type=argparse.FileType('r'), default='') parser.add_argument( '-s', '--dbsnp', help=' SNP database (dbSNP) in VCF format (downloaded from the GATK homepage)', type=argparse.FileType('r'), default='/media/databases/human/dbsnp_135.b37.vcf' ) parser.add_argument( '-o', '--output', metavar='output-prefix', type=str, help='prefix that is written in front of the output files', default="default" ) parser.add_argument( '-d', '--sourceDir', help='- Directory to all the tools [default: /bin/]', default='bin/', type=Helper.readable_dir ) parser.add_argument( '-t', '--threads', help='number of threads', type=int, default=multiprocessing.cpu_count()-1 ) parser.add_argument( '-n', '--maxDiff', help=' maximum Number of mismatches in the reads (int) or error rate in percentage (float)[0.04]', type=float, default=0.04 ) parser.add_argument( '--seedDiff', help='maximum Number of mismatches in the seed sequence (int)[2]', type=int, default=2 ) parser.add_argument( '-p', '--paired', help="Use this paramater if you have paired end reads [false]", action='store_true', default=False ) parser.add_argument( '--keepTemp', help='keep the intermediate Files [False]', action='store_true', default=False ) parser.add_argument( '--overwrite', help='overwrite existing Files [False]', action='store_true', default=False ) args = parser.parse_args() checkDependencies(args) map_fastq_obj = MapFastq( args.input, args.RefGenome.name, args.dbsnp.name, args.output, args.sourceDir, args.threads, args.maxDiff, args.seedDiff, args.paired, args.keepTemp, args.overwrite ) map_fastq_obj.startAnalysis() del map_fastq_obj

[ "tyler.weirick@gmail.com" ]

tyler.weirick@gmail.com

4ed13099ffbfcecf7846955a084a2123528d4ecf

384b5ed9b6581f6e75a4c84d1b183357ec85d563

/staff/api.py

a986875938b835300c9b78a7e971a4202b6ecc75

[]

no_license

diemnt/eBook

d8d3a6f1d6be2b6192667c509e530bac873c4576

59781afa38420f9595e04c6460d1cfc23449c21b

refs/heads/master

2020-04-09T07:50:20.634561

2018-12-03T10:21:22

151,664,583

0

null

UTF-8

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from django.utils.translation import ugettext_lazy as _ from rest_framework import viewsets from rest_framework.permissions import AllowAny from rest_framework.decorators import api_view, permission_classes from rest_framework.response import Response from staff.models import Staff, Role from staff.serializers import StaffSerializer, RoleSerializer, DisplayStaffSerializer from django.conf import settings from io import open import traceback import json import os @permission_classes((AllowAny,)) @api_view(['GET']) def get_role_permissions(request, id): try: results = {} # Build path of permission file. Project path join file path permission_file_path = os.path.join( settings.BASE_DIR, 'websites/staff/permissions_default.json') # Open file with readonly. with open(permission_file_path, 'r') as permission_file: results['permissions_default'] = json.load(permission_file) # Get Role by Id role = Role.objects.get(pk=id) results["role"] = RoleSerializer(role).data return Response(results, status=200) except Role.DoesNotExist, e: return Response({"code": 400, "message": _("Role not found."), "fields": "id"}, status=400) except Exception, e: print 'GET Role Permission API Error: ', traceback.format_exc() return Response({"code": 500, "message": _("Internal Server Error"), "fields": ""}, status=500) class RoleViewSet(viewsets.ModelViewSet): queryset = Role.objects.all() serializer_class = RoleSerializer permission_classes = (AllowAny, ) class StaffViewSet(viewsets.ModelViewSet): queryset = Staff.objects.all() permission_classes = (AllowAny, ) serializer_class = StaffSerializer action_serializers = { 'retrieve': DisplayStaffSerializer, 'list': DisplayStaffSerializer, } # def partial_update(self, request, *args, **kwargs): # serializer = StaffSerializer(data=request.data, partial=True) # if serializer.is_valid(): # serializer.save() # return JsonResponse(serializer.data, status=201) # return JsonResponse(serializer.errors, status=400) # Override get_serializer_class view : field role explain detail def get_serializer_class(self): if hasattr(self, 'action_serializers'): if self.action in self.action_serializers: return self.action_serializers[self.action] return super(StaffViewSet, self).get_serializer_class()

[ "diemnguyen@vooc.vn" ]

diemnguyen@vooc.vn

be03ce1c5168d01cd98377cf216a316388b4c1ef

d7cb6fd966b4dda57e3a984dc926cc3669a98915

/_support_func.py

b6e806b4c2eed387039c5b78ed3f580078d5ca2b

[]

no_license

raviy8408/AnyClassification

037bec829d13c76418b568d986ff9e4a31249aa7

af9c4e3890a66d3c641dd211265d0de24deb7217

refs/heads/master

2021-07-05T08:22:42.232084

2019-12-12T09:30:14

130,036,974

0

null

UTF-8

Python

false

14,852

py

import numpy as np import pandas as pd from _plot_func import * from _helper_func import * def print_categories(df, cols): ''' :param df: Pandas DataFrame :param cols: Categorical columns :return: prints all the categories of the categorical columns given ''' print("\n##########--levels of categorical variable--############") for col in cols: print("\n" + col + "_categories:") print((df[col].cat.categories)) print("\n########################################################") def column_index(df, query_cols): cols = df.columns.values sidx = np.argsort(cols) return sidx[np.searchsorted(cols, query_cols, sorter=sidx)] def test_train_splitter(df, y, cat_feature_list, int_feature_list, ID_col, outcome_type='category',split_frac=0.8, data_balancing = False, balancing_method = "smote-nc", balancing_params = {'sampling_strategy': 'minority','k_neighbors': 5,'n_jobs': -1}): ''' Splits the data into test and train in the ration provided and returns 4 data frames: x_train, y_train, x_test, y_test :param df: complete data :param y: outcome variable :param cat_feature_list: all the categorical variables :param data_balancing: True/False :param balancing_method: over sampling method used :return: x_train, y_train, x_test, y_test ''' from sklearn.model_selection import train_test_split from imblearn.over_sampling import SMOTENC, SMOTE from collections import Counter X_train, X_test, y_train, y_test = train_test_split(df.drop([y], axis=1).values, df[y], test_size=1 - split_frac) if (data_balancing == True) & (balancing_method == "smote-nc"): if cat_feature_list: cat_col_index = [df.drop([y], axis=1).columns.get_loc(c) for c in cat_feature_list if c in df.drop([y], axis=1)] smote_nc = SMOTENC(categorical_features=cat_col_index, random_state=0, sampling_strategy=balancing_params.get('sampling_strategy'), k_neighbors=balancing_params.get('k_neighbors'), n_jobs=balancing_params.get('n_jobs')) X_resampled, y_resampled = smote_nc.fit_resample(X_train, y_train) else: smote = SMOTE(random_state=0, sampling_strategy=balancing_params.get('sampling_strategy'), k_neighbors=balancing_params.get('k_neighbors'), n_jobs=balancing_params.get('n_jobs')) X_resampled, y_resampled = smote.fit_resample(X_train, y_train) X_train_final = X_resampled y_train_final = y_resampled print("Class distribution before balancing:") print(dict(Counter(y_train))) print("Class distribution after balancing:") print(dict(Counter(y_train_final))) else: X_train_final = X_train y_train_final = y_train # test train dataframe creation X_train_df = pd.DataFrame(data=X_train_final, columns=df.drop([y], axis=1).columns.values) y_train_df = pd.DataFrame(data=y_train_final, columns=[y]) X_test_df = pd.DataFrame(data=X_test, columns=df.drop([y], axis=1).columns.values) y_test_df = pd.DataFrame(data=y_test, columns=[y]) # assigning variable types to test and train data columns if cat_feature_list: X_train_df[cat_feature_list] = X_train_df[cat_feature_list].apply(lambda x: x.astype('category')) X_test_df[cat_feature_list] = X_test_df[cat_feature_list].apply(lambda x: x.astype('category')) if int_feature_list: X_train_df[int_feature_list] = X_train_df[int_feature_list].apply(lambda x: x.astype('int64')) X_test_df[int_feature_list] = X_test_df[int_feature_list].apply(lambda x: x.astype('int64')) _non_float_feature_list = cat_feature_list + [y] + int_feature_list + ID_col X_train_df[df.columns.difference(_non_float_feature_list)] = X_train_df[ df.columns.difference(_non_float_feature_list)].apply(lambda x: x.astype('float')) X_test_df[df.columns.difference(_non_float_feature_list)] = X_test_df[ df.columns.difference(_non_float_feature_list)].apply(lambda x: x.astype('float')) X_train_df[ID_col] = X_train_df[ID_col].astype(str) X_test_df[ID_col] = X_test_df[ID_col].astype(str) y_train_df[[y]] = y_train_df[[y]].apply(lambda x: x.astype('category')) y_test_df[[y]] = y_test_df[[y]].apply(lambda x: x.astype('category')) return X_train_df, y_train_df, X_test_df, y_test_df def labelEncoder_cat_features(X_train, X_test, cat_feature_list, **kwargs): ''' Converts all categorical features to numerical levels :param X_train: train data frame :param X_test: test data frame :param cat_feature_list: all categorical variables :return: encoded pandas data frame ''' from sklearn.preprocessing import LabelEncoder if ('ID_col' in kwargs.keys()): ID_col = kwargs.get('ID_col') else: ID_col = [] X_train[cat_feature_list] = X_train[cat_feature_list].apply(lambda x: x.astype(str)) X_test[cat_feature_list] = X_test[cat_feature_list].apply(lambda x: x.astype(str)) le = LabelEncoder() # Iterating over all the common columns in train and test for col in X_test.columns.values: # Encoding only categorical variables if (X_test[col].dtypes == 'object') and (col not in ID_col): # Using whole data to form an exhaustive list of levels data = X_train[col].append(X_test[col]) le.fit(data.values) X_train[col] = le.transform(X_train[col]) X_test[col] = le.transform(X_test[col]) return X_train, X_test def oneHotEncoder_cat_features(X_train_labelEncoded, X_test_labelEncoded, cat_feature_list, drop_last=False): ''' creates one hot encoded data frame :param X_train_labelEncoded: label encoded train data frame :param X_test_labelEncoded: label encoded test data frame :param cat_feature_list: all the categorical features :return: ''' from sklearn.preprocessing import OneHotEncoder X_train_oneHotEncoded = X_train_labelEncoded X_test_oneHotEncoded = X_test_labelEncoded enc = OneHotEncoder(sparse=False) for col in cat_feature_list: data = X_train_labelEncoded[[col]].append(X_test_labelEncoded[[col]]) enc.fit(data) # Fitting One Hot Encoding on train data temp = enc.transform(X_train_labelEncoded[[col]]) # Changing the encoded features into a data frame with new column names # if number of categorical levels is less than 3, keep only one column if drop_last == False: if len(data[col].unique()) < 3: temp = pd.DataFrame(temp[:, :-1], columns=[(col + "_" + str(i)) for i in data[col] .value_counts().index[:-1]]) else: temp = pd.DataFrame(temp, columns=[(col + "_" + str(i)) for i in data[col] .value_counts().index]) elif drop_last == True: temp = pd.DataFrame(temp[:, :-1], columns=[(col + "_" + str(i)) for i in data[col] .value_counts().index[:-1]]) # In side by side concatenation index values should be same # Setting the index values similar to the X_train data frame temp = temp.set_index(X_train_labelEncoded.index.values) # adding the new One Hot Encoded varibales to the train data frame X_train_oneHotEncoded = pd.concat([X_train_oneHotEncoded, temp], axis=1) # fitting One Hot Encoding on test data temp = enc.transform(X_test_labelEncoded[[col]]) # changing it into data frame and adding column names # if number of categorical levels is less than 3, keep only one column if drop_last == False: if len(data[col].unique()) < 3: temp = pd.DataFrame(temp[:, :-1], columns=[(col + "_" + str(i)) for i in data[col] .value_counts().index[:-1]]) else: temp = pd.DataFrame(temp, columns=[(col + "_" + str(i)) for i in data[col] .value_counts().index]) elif drop_last == True: temp = pd.DataFrame(temp[:, :-1], columns=[(col + "_" + str(i)) for i in data[col] .value_counts().index[:-1]]) # Setting the index for proper concatenation temp = temp.set_index(X_test_labelEncoded.index.values) # adding the new One Hot Encoded varibales to test data frame X_test_oneHotEncoded = pd.concat([X_test_oneHotEncoded, temp], axis=1) # dropping label encoded categorical variables X_train_oneHotEncoded = X_train_oneHotEncoded.drop(cat_feature_list, axis=1) X_test_oneHotEncoded = X_test_oneHotEncoded.drop(cat_feature_list, axis=1) return X_train_oneHotEncoded, X_test_oneHotEncoded def cal_lr_p_vals(X, y, params, predictions): from scipy import stats newX = pd.DataFrame({"Constant":np.ones(len(X))}).join(pd.DataFrame(X)) MSE = (sum((y.values-predictions)**2))/(len(newX)-len(newX.columns)) # Note if you don't want to use a DataFrame replace the two lines above with # newX = np.append(np.ones((len(X),1)), X, axis=1) # MSE = (sum((y-predictions)**2))/(len(newX)-len(newX[0])) var_b = MSE*(np.linalg.inv(np.dot(newX.T,newX)).diagonal()) sd_b = np.sqrt(var_b) ts_b = params/ sd_b p_values =[2*(1-stats.t.cdf(np.abs(i),(len(newX)-1))) for i in ts_b] sd_b = np.round(sd_b,3) ts_b = np.round(ts_b,3) p_values = np.round(p_values,3) params = np.round(params,4) myDF3 = pd.DataFrame() myDF3["Coefficients"],myDF3["Standard Errors"],myDF3["t values"],myDF3["Probabilites"] = [params,sd_b,ts_b,p_values] var_list = np.array(['Cons'] + list(X.columns.values)) myDF3.set_index(var_list, drop=True, inplace=True) print(myDF3) def model_performance(X_test_model_dt, y_test, model_name, model_object, output_path, prob, **kwargs): """ Function to print the model performance metrics such as accuracy, confusion matrix, classification report, kappa value :param X_test_model_dt: X_test data :param y_test: test outcome variable :param model_name: name of the model :param model_object: model object :param output_path: file path to store the output :param prob: True if model returns probability :return: None """ import os from sklearn.metrics import accuracy_score, confusion_matrix, classification_report, cohen_kappa_score, \ recall_score, precision_score, f1_score if ('train_test_iter_num' in kwargs.keys()): train_test_iter_num = kwargs.get("train_test_iter_num") else: train_test_iter_num = 1 if ('ID' in kwargs.keys()): ID = kwargs.get("ID") else: ID = [] if ('train_set' in kwargs.keys()): train_set = kwargs.get("train_set") else: train_set = False if train_set == True: print("#########--Model Performance on Train Set--#########\n") else: print("##########--Model Performance on Test Set--#########\n") path = output_path + model_name + "/" if not os.path.isdir(path): os.makedirs(path) if prob == True: # Saving ROC plot to the drive plot_ROC(y_test=y_test,y_pred_prob= model_object.best_estimator_.predict_proba(X_test_model_dt)[:, 1], model_name= model_name, image_dir=path, train_test_iter_num = train_test_iter_num, train_set = train_set) print("ROC plot saved to the drive!\n") if model_name == 'ANN': y_pred = model_object.best_estimator_.predict(X_test_model_dt)[:,0] else: y_pred = model_object.best_estimator_.predict(X_test_model_dt) _result_dict = {'accuracy' : accuracy_score(y_true=y_test, y_pred=y_pred), 'label_1_recall' : recall_score(y_true=y_test, y_pred=y_pred, pos_label=1), 'label_1_precision' : precision_score(y_true=y_test, y_pred=y_pred, pos_label=1), 'label_1_f1_score' : f1_score(y_true=y_test, y_pred=y_pred, pos_label=1), 'label_0_recall': recall_score(y_true=y_test, y_pred=y_pred, pos_label=0), 'label_0_precision': precision_score(y_true=y_test, y_pred=y_pred, pos_label=0), 'label_0_f1_score': f1_score(y_true=y_test, y_pred=y_pred, pos_label=0), 'kappa' : cohen_kappa_score(y_test, y_pred) } # print("Model Performance on Test Set:\n") print("Accuracy:\n") print(str(_result_dict.get('accuracy'))) print("\nConfusion Matrix:\n") print(pd.crosstab(y_test, y_pred,rownames=['True'], colnames=['Predicted'], margins=True)) print("\nClassification Report:\n") print(classification_report(y_test,y_pred)) print("\nCohen Kappa:\n") print(_result_dict.get('kappa')) ###################################################### print("Saving iteration result to drive..") if train_test_iter_num <=1: _result = pd.DataFrame(_result_dict, index=['iter' + str(train_test_iter_num)]) if train_set == True: _result.to_csv(path + 'result_train.tsv', sep='\t') else: _result.to_csv(path + 'result_test.tsv', sep='\t') else: _result = pd.DataFrame(_result_dict, index=['iter' + str(train_test_iter_num)]) if train_set == True: appendDFToCSV_void(df=_result, csvFilePath=path + 'result_train.tsv', sep='\t') else: appendDFToCSV_void(df=_result, csvFilePath=path + 'result_test.tsv', sep='\t') ###################################################### print("Saving predictions to drive..\n") if train_set == True: path = output_path + model_name + "/prediction/Train_Set/" else: path = output_path + model_name + "/prediction/Test_Set/" if not os.path.isdir(path): os.makedirs(path) if len(ID) == len(y_test): pred_df = pd.DataFrame({'actual' : y_test, 'pred' : y_pred}, index=y_test.index) ID.set_index(y_test.index.values, drop = True, inplace = True) pred_df = pd.concat([ID, pred_df], axis=1) pred_df.to_csv(path + 'predictions_iter' + str(train_test_iter_num) + '.tsv', sep="\t") else: pred_df = pd.DataFrame({'actual': y_test, 'pred': y_pred}, index=y_test.index) pred_df.to_csv(path + 'predictions_iter' + str(train_test_iter_num) + '.tsv', sep="\t") ######################################################

[ "raviy8408@gmail.com" ]

raviy8408@gmail.com

2ca5a7517e53c5f8814d79f08ebdb91d5ae890d2

63ab04fa56f0aa115a927dfe4991bbb0536a958c

/src/main/java/old/y2018/m9/d11_palindrome/Sol.py

2c8b2292d0ed00ab007ad1b27b78e6c4bdf790c4

[]

no_license

myks790/algorithm

a5c7db409c19bea82da5cdc5b2b9b00b13ec247e

90f452076e887bcb6c478e0cbd1c24c430862cff

refs/heads/master

2020-03-26T07:09:55.210663

2018-12-04T13:49:58

144,639,101

0

null

UTF-8

Python

false

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def palindrome_rec(s): if len(s) == 1 or len(s) ==0: return True elif s[0] == s[-1]: return palindrome(s[1:-1]) else: return False def palindrome(s): le = len(s) for i in range(le//2): if s[i] != s[le - i -1]: return False return True def solution(s): max = 1 for i in range(len(s),0,-1): for j in range(len(s) - i): p = s[j:i+j + 1] if palindrome(p): if max < len(p): max = len(p) break if max != 1: break return max

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import sys n, m, a = map(int, sys.stdin.readline().split()) q, r = divmod(a, m) if r==0: r+=m q-=1 def sol(x, y): res = 1 for i in range(y+1,x+y+1): res*=i for i in range(1,x+1): res//=i return res if a==0 or a==n*m: print(sol(m-1,n-1)) else: print(sol(q,r-1)*sol(n-1-q, m-r))

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pku928@naver.com

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/siteroot/TextSongs/migrations/0008_auto_20210327_0138.py

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# Generated by Django 3.1.7 on 2021-03-26 22:38 from django.db import migrations, models class Migration(migrations.Migration): dependencies = [ ('TextSongs', '0007_ordertext'), ] operations = [ migrations.AlterField( model_name='ordertext', name='info', field=models.TextField(null=True), ), ]

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/pysprint/core/bases/dataset.py

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""" This file implements the Dataset class with all the functionality that an interferogram should have in general. """ import base64 from collections.abc import Iterable from contextlib import suppress, contextmanager from io import BytesIO import json import logging from math import factorial import numbers import re from textwrap import dedent import warnings import numpy as np import pandas as pd import matplotlib.pyplot as plt from scipy.interpolate import interp1d from jinja2 import Template from pysprint.config import _get_config_value from pysprint.core.bases._dataset_base import _DatasetBase from pysprint.core.bases._dataset_base import C_LIGHT from pysprint.core.bases._apply import _DatasetApply from pysprint.core._evaluate import is_inside from pysprint.core._evaluate import ifft_method from pysprint.core._fft_tools import find_center from pysprint.core.io._parser import _parse_raw from pysprint.mpl_tools.spp_editor import SPPEditor from pysprint.mpl_tools.normalize import DraggableEnvelope from pysprint.utils import MetaData, find_nearest from pysprint.utils.decorators import inplacify from pysprint.core._preprocess import ( savgol, find_peak, convolution, cut_data, cwt, ) from pysprint.utils.exceptions import ( InterpolationWarning, DatasetError, PySprintWarning, ) logger = logging.getLogger(__name__) FORMAT = "[ %(filename)s:%(lineno)s - %(funcName)20s() ] %(message)s" logging.basicConfig(format=FORMAT) __all__ = ["Dataset"] class Dataset(metaclass=_DatasetBase): """ This class implements all the functionality a dataset should have in general. """ meta = MetaData("""Additional info about the dataset""", copy=False) def __init__( self, x, y, ref=None, sam=None, meta=None, errors="raise", callback=None, parent=None, **kwargs ): """ Base constructor for Dataset. Parameters ---------- x : np.ndarray The x values. y : np.ndarray The y values. ref : np.ndarray, optional The reference arm's spectra. sam : np.ndarray, optional The sample arm's spectra. meta : dict-like The dictionary containing further information about the dataset. Can be extended, or set to be any valid ~collections.abc.Mapping. errors: str, optional Whether to raise on missmatching sized data. Must be "raise" or "force". If "force" then truncate to the shortest size. Default is "raise". callback : callable, optional The function that notifies parent objects about SPP related changes. In most cases the user should leave this empty. The default callback is only initialized if this object is constructed by the `pysprint.SPPMethod` object. parent : any class, optional The object which handles the callback function. In most cases the user should leave this empty. kwargs : dict, optional The window class to use in WFTMethod. Has no effect while using other methods. Must be a subclass of pysprint.core.windows.WindowBase. Note ---- To load in data by files, see the other constructor `parse_raw`. """ super().__init__() if errors not in ("raise", "force"): raise ValueError("errors must be `raise` or `force`.") self.callback = callback or (lambda *args: args) self.parent = parent self.x = np.array(x, dtype=np.float64) self.y = np.array(y, dtype=np.float64) if ref is None: self.ref = [] else: self.ref = ref if sam is None: self.sam = [] else: self.sam = sam self._is_normalized = False if not isinstance(self.x, np.ndarray): try: self.x = np.array(self.x).astype(float) except ValueError: raise DatasetError("Invalid type of data") if not isinstance(self.y, np.ndarray): try: self.y = np.array(self.y).astype(float) except ValueError: raise DatasetError("Invalid type of data") if not isinstance(self.ref, np.ndarray): try: self.ref = np.array(self.ref).astype(float) except ValueError: pass # just ignore invalid arms if not isinstance(self.sam, np.ndarray): try: self.sam = np.array(self.sam).astype(float) except ValueError: pass # just ignore invalid arms if not len(self.x) == len(self.y): if errors == 'raise': raise ValueError( f"Mismatching data shapes with {self.x.shape} and {self.y.shape}." ) else: truncated_shape = min(len(self.x), len(self.y)) # probably we should cut down the first half self.x, self.y = self.x[-truncated_shape:], self.y[-truncated_shape:] if len([x for x in (self.ref, self.sam) if len(x) != 0]) == 1: warnings.warn( "Reference and sample arm should be passed together or neither one.", PySprintWarning ) if len(self.ref) == 0 or len(self.sam) == 0: self.y_norm = self.y self._is_normalized = self._ensure_norm() else: if not np.all([len(self.sam) == len(self.x), len(self.ref) == len(self.x)]): if errors == 'raise': raise ValueError( f"Mismatching data shapes with {self.x.shape}, " f"{self.ref.shape} and {self.sam.shape}." ) else: truncated_shape = min(len(self.x), len(self.ref), len(self.sam), len(self.y)) # same as above.. self.ref, self.sam = self.ref[-truncated_shape:], self.sam[-truncated_shape:] self.y_norm = (self.y - self.ref - self.sam) / ( 2 * np.sqrt(self.sam * self.ref) ) self._is_normalized = True self.plt = plt self.xmin = None self.xmax = None self.probably_wavelength = None self.unit = None self._check_domain() if meta is not None: self.meta = meta self._delay = None self._positions = None nanwarning = np.isnan(self.y_norm).sum() infwarning = np.isinf(self.y_norm).sum() if nanwarning > 0 or infwarning > 0: warnings.warn( ("Extreme values encountered during normalization.\n" f"Nan values: {nanwarning}\nInf values: {infwarning}"), PySprintWarning ) self._dispersion_array = None @inplacify def chrange(self, current_unit, target_unit="phz"): """ Change the domain range of the dataset. Supported units for frequency: * PHz * THz * GHz Supported units for wavelength: * um * nm * pm * fm Parameters ---------- current_unit : str The current unit of the domain. Case insensitive. target_unit : str, optional The target unit. Must be compatible with the currect unit. Case insensitive. Default is `phz`. """ current_unit, target_unit = current_unit.lower(), target_unit.lower() conversions = { "um": {"um": 1, "nm": 1000, "pm": 1E6, "fm": 1E9}, "nm": {"um": 1 / 1000, "nm": 1, "pm": 1000, "fm": 1E6}, "pm": {"um": 1 / 1E6, "nm": 1 / 1000, "pm": 1, "fm": 1000}, "fm": {"um": 1 / 1E9, "nm": 1 / 1E6, "pm": 1 / 1000, "fm": 1}, "phz": {"phz": 1, "thz": 1000, "ghz": 1E6}, "thz": {"phz": 1 / 1000, "thz": 1, "ghz": 1000}, "ghz": {"phz": 1 / 1E6, "thz": 1 / 1000, "ghz": 1} } try: ratio = float(conversions[current_unit][target_unit]) except KeyError as error: raise ValueError("Units are not compatible") from error self.x = (self.x * ratio) self.unit = self._render_unit(target_unit) return self def __len__(self): return len(self.x) @staticmethod def _render_unit(unit, mpl=False): unit = unit.lower() charmap = { "um": (r"\mu m", "um"), "nm": ("nm", "nm"), "pm": ("pm", "pm"), "fm": ("fm", "fm"), "phz": ("PHz", "PHz"), "thz": ("THz", "THz"), "ghz": ("GHz", "GHz") } if mpl: return charmap[unit][0] return charmap[unit][1] @inplacify def transform(self, func, axis=None, args=None, kwargs=None): """ Function which enables to apply arbitrary function to the dataset. Parameters ---------- func : callable The function to apply on the dataset. axis : int or str, optional The axis which is the operation is performed on. Must be 'x', 'y', '0' or '1'. args : tuple, optional Additional arguments to pass to func. kwargs : dict, optional Additional keyword arguments to pass to func. """ operation = _DatasetApply( obj=self, func=func, axis=axis, args=args, kwargs=kwargs ) operation.perform() return self # TODO : Rewrite this def phase_plot(self, exclude_GD=False): """ Plot the phase if the dispersion is already calculated. Parameters ---------- exclude_GD : bool Whether to exclude the GD part of the polynomial. Default is `False`. """ if not np.all(self._dispersion_array): raise ValueError("Dispersion must be calculated before plotting the phase.") coefs = np.array( [ self._dispersion_array[i] / factorial(i + 1) for i in range(len(self._dispersion_array)) ] ) if exclude_GD: coefs[0] = 0 phase_poly = np.poly1d(coefs[::-1], r=False) self.plt.plot(self.x, phase_poly(self.x)) self.plt.grid() self.plt.ylabel(r"$\Phi\, [rad]$") self.plt.xlabel(r"$\omega \,[PHz]$") self.plt.show() @property def delay(self): """ Return the delay value if set. """ return self._delay @delay.setter def delay(self, value): self._delay = value try: self.callback(self, self.parent) except ValueError: pass # delay or position is missing @property def positions(self): """ Return the SPP position(s) if set. """ return self._positions @positions.setter def positions(self, value): if isinstance(value, numbers.Number): if value < np.min(self.x) or value > np.max(self.x): raise ValueError( f"Cannot set SPP position to {value} since it's not in the dataset's range." ) # FIXME: maybe we don't need to distinguish between np.ndarray and Iterable elif isinstance(value, np.ndarray) or isinstance(value, Iterable): for val in value: if not isinstance(val, numbers.Number): raise ValueError( f"Expected numeric values, got {type(val)} instead." ) if val < np.min(self.x) or val > np.max(self.x): raise ValueError( f"Cannot set SPP position to {val} since it's not in the dataset's range." ) self._positions = value try: self.callback(self, self.parent) except ValueError: pass # delay or position is missing def _ensure_norm(self): """ Ensure the interferogram is normalized and only a little part which is outlying from the [-1, 1] interval (because of noise). """ try: idx = np.where((self.y_norm > 2)) val = len(idx[0]) / len(self.y_norm) except TypeError as e: raise DatasetError("Non-numeric values found while reading dataset.") from e if val > 0.015: # this is a custom threshold, which often works.. return False return True def scale_up(self): """ If the interferogram is normalized to [0, 1] interval, scale up to [-1, 1] with easy algebra. """ self.y_norm = (self.y_norm - 0.5) * 2 self.y = (self.y - 0.5) * 2 def GD_lookup(self, reference_point=None, engine="cwt", silent=False, **kwargs): """ Quick GD lookup: it finds extremal points near the `reference_point` and returns an average value of 2*pi divided by distances between consecutive minimal or maximal values. Since it's relying on peak detection, the results may be irrelevant in some cases. If the parent class is `~pysprint.CosFitMethod`, then it will set the predicted value as initial parameter for fitting. Parameters ---------- reference_point : float The reference point for the algorithm. engine : str, optional The backend to use. Must be "cwt", "normal" or "fft". "cwt" will use `scipy.signal.find_peaks_cwt` function to detect peaks, "normal" will use `scipy.signal.find_peaks` to detect peaks. The "fft" engine uses Fourier-transform and looks for the outer peak to guess delay value. It's not reliable when working with low delay values. silent : bool, optional Whether to print the results immediately. Default in `False`. kwargs : dict, optional Additional keyword arguments to pass for peak detection algorithms. These are: pmin, pmax, threshold, width, floor_thres, etc.. Most of them are described in the `find_peaks` and `find_peaks_cwt` docs. """ precision = _get_config_value("precision") if engine not in ("cwt", "normal", "fft"): raise ValueError("Engine must be `cwt`, `fft` or `normal`.") if reference_point is None and engine != "fft": warnings.warn( f"Engine `{engine}` isn't available without reference point, falling back to FFT based prediction.", PySprintWarning ) engine = "fft" if engine == "fft": pred, _ = find_center(*ifft_method(self.x, self.y)) if pred is None: if not silent: print("Prediction failed, skipping.") return print(f"The predicted GD is ± {pred:.{precision}f} fs.") if hasattr(self, "params"): self.params[3] = pred return if engine == "cwt": widths = kwargs.pop("widths", np.arange(1, 20)) floor_thres = kwargs.pop("floor_thres", 0.05) x_min, _, x_max, _ = self.detect_peak_cwt( widths=widths, floor_thres=floor_thres ) # just validation _ = kwargs.pop("pmin", 0.1) _ = kwargs.pop("pmax", 0.1) _ = kwargs.pop("threshold", 0.35) else: pmin = kwargs.pop("pmin", 0.1) pmax = kwargs.pop("pmax", 0.1) threshold = kwargs.pop("threshold", 0.35) x_min, _, x_max, _ = self.detect_peak( pmin=pmin, pmax=pmax, threshold=threshold ) # just validation _ = kwargs.pop("widths", np.arange(1, 10)) _ = kwargs.pop("floor_thres", 0.05) if kwargs: raise TypeError(f"Invalid argument:{kwargs}") try: closest_val, idx1 = find_nearest(x_min, reference_point) m_closest_val, m_idx1 = find_nearest(x_max, reference_point) except (ValueError, IndexError): if not silent: print("Prediction failed, skipping.. ") return try: truncated = np.delete(x_min, idx1) second_closest_val, _ = find_nearest(truncated, reference_point) except (IndexError, ValueError): if not silent: print("Prediction failed, skipping.. ") return try: m_truncated = np.delete(x_max, m_idx1) m_second_closest_val, _ = find_nearest(m_truncated, reference_point) except (IndexError, ValueError): if not silent: print("Prediction failed, skipping.. ") return lowguess = 2 * np.pi / np.abs(closest_val - second_closest_val) highguess = 2 * np.pi / np.abs(m_closest_val - m_second_closest_val) # estimate the GD with that if hasattr(self, "params"): self.params[3] = (lowguess + highguess) / 2 if not silent: print( f"The predicted GD is ± {((lowguess + highguess) / 2):.{precision}f} fs" f" based on reference point of {reference_point:.{precision}f}." ) def _safe_cast(self): """ Return a copy of key attributes in order to prevent inplace modification. """ x, y, ref, sam = ( np.copy(self.x), np.copy(self.y), np.copy(self.ref), np.copy(self.sam), ) return x, y, ref, sam @staticmethod def wave2freq(value): """Switches a single value between wavelength and angular frequency.""" return (2 * np.pi * C_LIGHT) / value _dispatch = wave2freq.__func__ @staticmethod def freq2wave(value): """Switches a single value between angular frequency and wavelength.""" return Dataset._dispatch(value) def _check_domain(self): """ Checks the domain of data just by looking at x axis' minimal value. Units are obviously not added yet, we work in nm and PHz... """ try: if min(self.x) > 50: self.probably_wavelength = True self.unit = "nm" else: self.probably_wavelength = False self.unit = "PHz" # This is the first function to fail if the user sets up # wrong values. Usually.. except TypeError as error: msg = ValueError( "The file could not be parsed properly." ) raise msg from error @classmethod def parse_raw( cls, filename, ref=None, sam=None, skiprows=0, decimal=".", sep=None, delimiter=None, comment=None, usecols=None, names=None, swapaxes=False, na_values=None, skip_blank_lines=True, keep_default_na=False, meta_len=1, errors="raise", callback=None, parent=None, **kwargs ): """ Dataset object alternative constructor. Helps to load in data just by giving the filenames in the target directory. Parameters ---------- filename: `str` base interferogram file generated by the spectrometer ref: `str`, optional reference arm's spectra file generated by the spectrometer sam: `str`, optional sample arm's spectra file generated by the spectrometer skiprows: `int`, optional Skip rows at the top of the file. Default is `0`. decimal: `str`, optional Character recognized as decimal separator in the original dataset. Often `,` for European data. Default is `.`. sep: `str`, optional The delimiter in the original interferogram file. Default is `,`. delimiter: `str`, optional The delimiter in the original interferogram file. This is preferred over the `sep` argument if both given. Default is `,`. comment: `str`, optional Indicates remainder of line should not be parsed. If found at the beginning of a line, the line will be ignored altogether. This parameter must be a single character. Default is `'#'`. usecols: list-like or callable, optional If there a multiple columns in the file, use only a subset of columns. Default is [0, 1], which will use the first two columns. names: array-like, optional List of column names to use. Default is ['x', 'y']. Column marked with `x` (`y`) will be treated as the x (y) axis. Combined with the usecols argument it's possible to select data from a large number of columns. swapaxes: bool, optional Whether to swap x and y values in every parsed file. Default is False. na_values: scalar, str, list-like, or dict, optional Additional strings to recognize as NA/NaN. If dict passed, specific per-column NA values. By default the following values are interpreted as NaN: ‘’, ‘#N/A’, ‘#N/A N/A’, ‘#NA’, ‘-1.#IND’, ‘-1.#QNAN’, ‘-NaN’, ‘-nan’, ‘1.#IND’, ‘1.#QNAN’, ‘<NA>’, ‘N/A’, ‘NA’, ‘NULL’, ‘NaN’, ‘n/a’, ‘nan’, ‘null’. skip_blank_lines: bool If True, skip over blank lines rather than interpreting as NaN values. Default is True. keep_default_na: bool Whether or not to include the default NaN values when parsing the data. Depending on whether na_values is passed in, the behavior changes. Default is False. More information available at: https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.read_csv.html meta_len: `int`, optional The first `n` lines in the original file containing the meta information about the dataset. It is parsed to be dict-like. If the parsing fails, a new entry will be created in the dictionary with key `unparsed`. Default is `1`. errors: string, optional Determines the way how mismatching sized datacolumns behave. The default is `raise`, and it will raise on any error. If set to `force`, it will truncate every array to have the same shape as the shortest column. It truncates from the top of the file. callback : callable, optional The function that notifies parent objects about SPP related changes. In most cases the user should leave this empty. The default callback is only initialized if this object is constructed by the `pysprint.SPPMethod` object. parent : any class, optional The object which handles the callback function. In most cases the user should leave this empty. kwargs : dict, optional The window class to use in WFTMethod. Has no effect while using other methods. Must be a subclass of pysprint.core.windows.WindowBase. """ parsed = _parse_raw( filename=filename, ref=ref, sam=sam, skiprows=skiprows, decimal=decimal, sep=sep, delimiter=delimiter, comment=comment, usecols=usecols, names=names, swapaxes=swapaxes, na_values=na_values, skip_blank_lines=skip_blank_lines, keep_default_na=keep_default_na, meta_len=meta_len ) return cls(**parsed, errors=errors, callback=callback, parent=parent, **kwargs) def __str__(self): _unit = self._render_unit(self.unit) precision = _get_config_value("precision") string = dedent( f""" {type(self).__name__} ---------- Parameters ---------- Datapoints: {len(self.x)} Predicted domain: {'wavelength' if self.probably_wavelength else 'frequency'} Range: from {np.min(self.x):.{precision}f} to {np.max(self.x):.{precision}f} {_unit} Normalized: {self._is_normalized} Delay value: {str(self._format_delay()) + ' fs' if self._delay is not None else 'Not given'} SPP position(s): {str(self._format_positions()) + ' PHz' if np.all(self._positions) else 'Not given'} ---------------------------- Metadata extracted from file ---------------------------- """ ) string = re.sub('^\s+', '', string, flags=re.MULTILINE) string += json.dumps(self.meta, indent=4, sort_keys=True) return string def _repr_html_(self): # TODO: move this to a separate template file _unit = self._render_unit(self.unit) precision = _get_config_value("precision") t = f""" <div id="header" class="row" style="height:10%;width:100%;"> <div style='float:left' class="column"> <table style="border:1px solid black;float:top;"> <tbody> <tr> <td colspan=2 style="text-align:center"> <font size="5">{type(self).__name__}</font> </td> </tr> <tr> <td colspan=2 style="text-align:center"> <font size="3.5">Parameters</font> </td> </tr> <tr> <td style="text-align:center"><b>Datapoints<b></td> <td style="text-align:center"> {len(self.x)}</td> </tr> <tr> <td style="text-align:center"><b>Predicted domain<b> </td> <td style="text-align:center"> {'wavelength' if self.probably_wavelength else 'frequency'} </td> </tr> <tr> <td style="text-align:center"> <b>Range min</b> </td> <td style="text-align:center">{np.min(self.x):.{precision}f} {_unit}</td> </tr> <tr> <td style="text-align:center"> <b>Range max</b> </td> <td style="text-align:center">{np.max(self.x):.{precision}f} {_unit}</td> </tr> <tr> <td style="text-align:center"> <b>Normalized</b></td> <td style="text-align:center"> {self._is_normalized} </td> </tr> <tr> <td style="text-align:center"><b>Delay value</b></td> <td style="text-align:center">{str(self._format_delay()) + ' fs' if self._delay is not None else 'Not given'}</td> </tr> <tr> <td style="text-align:center"><b>SPP position(s)</b></td> <td style="text-align:center">{str(self._format_positions()) + ' PHz' if np.all(self._positions) else 'Not given'}</td> </tr> <tr> <td colspan=2 style="text-align:center"> <font size="3.5">Metadata</font> </td> </tr> """ jjstring = Template(""" {% for key, value in meta.items() %} <tr> <th style="text-align:center"> <b>{{ key }} </b></th> <td style="text-align:center"> {{ value }} </td> </tr> {% endfor %} </tbody> </table> </div> <div style='float:leftt' class="column">""") rendered_fig = self._render_html_plot() return t + jjstring.render(meta=self.meta) + rendered_fig def _render_html_plot(self): fig, ax = plt.subplots(figsize=(7, 5)) self.plot(ax=ax) plt.close() tmpfile = BytesIO() fig.savefig(tmpfile, format='png') encoded = base64.b64encode(tmpfile.getvalue()).decode('utf-8') html_fig = "<img src=\'data:image/png;base64,{}\'>".format(encoded) return html_fig @property def data(self): """ Returns the *current* dataset as `pandas.DataFrame`. """ if self._is_normalized: try: self._data = pd.DataFrame( { "x": self.x, "y": self.y, "sample": self.sam, "reference": self.ref, "y_normalized": self.y_norm, } ) except ValueError: self._data = pd.DataFrame({"x": self.x, "y": self.y}) else: self._data = pd.DataFrame({"x": self.x, "y": self.y}) return self._data # from : https://stackoverflow.com/a/15774013/11751294 def __copy__(self): cls = self.__class__ result = cls.__new__(cls) result.__dict__.update(self.__dict__) return result @property def is_normalized(self): """Retuns whether the dataset is normalized.""" return self._is_normalized @inplacify def chdomain(self): """ Changes from wavelength [nm] to ang. freq. [PHz] domain and vica versa. """ self.x = (2 * np.pi * C_LIGHT) / self.x self._check_domain() if hasattr(self, "original_x"): self.original_x = self.x return self def detect_peak_cwt(self, widths, floor_thres=0.05, side="both"): """ Basic algorithm to find extremal points in data using ``scipy.signal.find_peaks_cwt``. Parameters ---------- widths : np.ndarray The widths passed to `find_peaks_cwt`. floor_thres : float Will be removed. side : str The side to use. Must be "both", "max" or "min". Default is "both". Returns ------- xmax : `array-like` x coordinates of the maximums ymax : `array-like` y coordinates of the maximums xmin : `array-like` x coordinates of the minimums ymin : `array-like` y coordinates of the minimums Note ---- When using "min" or "max" as side, all the detected minimal and maximal values will be returned, but only the given side will be recorded for further calculation. """ if side not in ("both", "min", "max"): raise ValueError("Side must be 'both', 'min' or 'max'.") if hasattr(self, "_is_onesided"): self._is_onesided = side != "both" x, y, ref, sam = self._safe_cast() xmax, ymax, xmin, ymin = cwt( x, y, ref, sam, widths=widths, floor_thres=floor_thres ) self.xmax = xmax self.xmin = xmin if side == "both": self.xmax = xmax self.xmin = xmin elif side == "min": self.xmin = xmin elif side == "max": self.xmax = xmax logger.info(f"{len(xmax)} max values and {len(xmin)} min values were found.") return xmax, ymax, xmin, ymin def savgol_fil(self, window=5, order=3): """ Applies Savitzky-Golay filter on the dataset. Parameters ---------- window : int Length of the convolutional window for the filter. Default is `10`. order : int Degree of polynomial to fit after the convolution. If not odd, it's incremented by 1. Must be lower than window. Usually it's a good idea to stay with a low degree, e.g 3 or 5. Default is 3. Note ---- If arms were given, it will merge them into the `self.y` and `self.y_norm` variables. Also applies a linear interpolation o n dataset (and raises warning). """ self.x, self.y_norm = savgol( self.x, self.y, self.ref, self.sam, window=window, order=order ) self.y = self.y_norm self.ref = [] self.sam = [] warnings.warn( "Linear interpolation have been applied to data.", InterpolationWarning, ) @inplacify def slice(self, start=None, stop=None): """ Cuts the dataset on x axis. Parameters ---------- start : float Start value of cutting interval. Not giving a value will keep the dataset's original minimum value. Note that giving `None` will leave original minimum untouched too. Default is `None`. stop : float Stop value of cutting interval. Not giving a value will keep the dataset's original maximum value. Note that giving `None` will leave original maximum untouched too. Default is `None`. Note ---- If arms were given, it will merge them into the `self.y` and `self.y_norm` variables. After this operation, the arms' spectra cannot be retrieved. """ self.x, self.y_norm = cut_data( self.x, self.y, self.ref, self.sam, start=start, stop=stop ) self.ref = [] self.sam = [] self.y = self.y_norm # Just to make sure it's correctly shaped. Later on we might # delete this. if hasattr(self, "original_x"): self.original_x = self.x self._is_normalized = self._ensure_norm() return self def convolution(self, window_length, std=20): """ Convolve the dataset with a specified Gaussian window. Parameters ---------- window_length : int Length of the gaussian window. std : float Standard deviation of the gaussian window. Default is `20`. Note ---- If arms were given, it will merge them into the `self.y` and `self.y_norm` variables. Also applies a linear interpolation on dataset. """ self.x, self.y_norm = convolution( self.x, self.y, self.ref, self.sam, window_length, standev=std ) self.ref = [] self.sam = [] self.y = self.y_norm warnings.warn( "Linear interpolation have been applied to data.", InterpolationWarning, ) @inplacify def resample(self, N, kind="linear", **kwds): """ Resample the interferogram to have `N` datapoints. Parameters ---------- N : int The number of datapoints required. kind : str, optional The type of interpolation to use. Default is `linear`. kwds : optional Additional keyword argument to pass to `scipy.interpolate.interp1d`. Raises ------ PySprintWarning, if trying to subsample to lower `N` datapoints than original. """ f = interp1d(self.x, self.y_norm, kind, **kwds) if N < len(self.x): N = len(self.x) warnings.warn( "Trying to resample to lower resolution, keeping shape..", PySprintWarning ) xnew = np.linspace(np.min(self.x), np.max(self.x), N) ynew = f(xnew) setattr(self, "x", xnew) setattr(self, "y_norm", ynew) return self def detect_peak( self, pmax=0.1, pmin=0.1, threshold=0.1, except_around=None, side="both" ): """ Basic algorithm to find extremal points in data using ``scipy.signal.find_peaks``. Parameters ---------- pmax : float Prominence of maximum points. The lower it is, the more peaks will be found. Default is `0.1`. pmin : float Prominence of minimum points. The lower it is, the more peaks will be found. Default is `0.1`. threshold : float Sets the minimum distance (measured on y axis) required for a point to be accepted as extremal. Default is 0. except_around : interval (array or tuple), Overwrites the threshold to be 0 at the given interval. format is `(lower, higher)` or `[lower, higher]`. Default is None. side : str The side to use. Must be "both", "max" or "min". Default is "both". Returns ------- xmax : `array-like` x coordinates of the maximums ymax : `array-like` y coordinates of the maximums xmin : `array-like` x coordinates of the minimums ymin : `array-like` y coordinates of the minimums Note ---- When using "min" or "max" as side, all the detected minimal and maximal values will be returned, but only the given side will be recorded for further calculation. """ if side not in ("both", "min", "max"): raise ValueError("Side must be 'both', 'min' or 'max'.") if hasattr(self, "_is_onesided"): self._is_onesided = side != "both" x, y, ref, sam = self._safe_cast() xmax, ymax, xmin, ymin = find_peak( x, y, ref, sam, pro_max=pmax, pro_min=pmin, threshold=threshold, except_around=except_around, ) if side == "both": self.xmax = xmax self.xmin = xmin elif side == "min": self.xmin = xmin elif side == "max": self.xmax = xmax logger.info(f"{len(xmax)} max values and {len(xmin)} min values were found.") return xmax, ymax, xmin, ymin def _plot_SPP_if_valid(self, ax=None, **kwargs): """ Mark SPPs on the plot if they are valid. """ if ax is None: ax = self.plt if isinstance(self.positions, numbers.Number): if is_inside(self.positions, self.x): x_closest, idx = find_nearest(self.x, self.positions) try: ax.plot(x_closest, self.y_norm[idx], **kwargs) except (ValueError, TypeError): ax.plot(x_closest, self.y[idx], **kwargs) if isinstance(self.positions, np.ndarray) or isinstance( self.positions, Iterable ): if np.array(self.positions).ndim == 0: self.positions = np.atleast_1d(self.positions) # iterate over 0-d array: need to cast np.atleast_1d for i, val in enumerate(self.positions): if is_inside(self.positions[i], self.x): x_closest, idx = find_nearest(self.x, self.positions[i]) try: ax.plot(x_closest, self.y_norm[idx], **kwargs) except (ValueError, TypeError): ax.plot(x_closest, self.y[idx], **kwargs) def _format_delay(self): if self.delay is None: return "" if isinstance(self.delay, np.ndarray): if self.delay.size == 0: return 0 delay = np.atleast_1d(self.delay).flatten() return delay[0] elif isinstance(self.delay, (list, tuple)): return self.delay[0] elif isinstance(self.delay, numbers.Number): return self.delay elif isinstance(self.delay, str): try: delay = float(self.delay) except ValueError as e: raise TypeError("Delay value not understood.") from e return delay else: raise TypeError("Delay value not understood.") def _format_positions(self): if self.positions is None: return "Not given" if isinstance(self.positions, np.ndarray): positions = np.atleast_1d(self.positions).flatten() return ", ".join(map(str, positions)) elif isinstance(self.positions, (list, tuple)): return ", ".join(map(str, self.positions)) elif isinstance(self.positions, numbers.Number): return self.positions elif isinstance(self.positions, str): split = self.positions.split(",") try: positions = [float(p) for p in split] except ValueError as e: raise TypeError("Delay value not understood.") from e return ", ".join(map(str, positions)) else: raise TypeError("Delay value not understood.") def _prepare_SPP_data(self): pos_x, pos_y = [], [] if self.positions is not None: position = np.array(self.positions, dtype=np.float64).flatten() for i, val in enumerate(position): if is_inside(position[i], self.x): x_closest, idx = find_nearest(self.x, position[i]) try: pos_x.append(x_closest) pos_y.append(self.y_norm[idx]) except (ValueError, TypeError): pos_x.append(x_closest) pos_y.append(self.y[idx]) pos_x = np.array(pos_x) pos_y = np.array(pos_y) return pos_x, pos_y # TODO: Remove the duplicated logic. This function is in pysprint's init.py # and we can't circular import it. It should be moved to a separate file. def plot_outside(self, *args, **kwargs): """ Plot the current dataset out of the notebook. For detailed parameters see `Dataset.plot` function. """ backend = kwargs.pop("backend", "Qt5Agg") original_backend = plt.get_backend() try: plt.switch_backend(backend) self.plot(*args, **kwargs) plt.show(block=True) except (AttributeError, ImportError, ModuleNotFoundError) as err: raise ValueError( f"Couldn't set backend {backend}, you should manually " "change to an appropriate GUI backend. (Matplotlib 3.3.1 " "is broken. In that case use backend='TkAgg')." ) from err finally: plt.switch_backend(original_backend) def plot(self, ax=None, title=None, xlim=None, ylim=None, **kwargs): """ Plot the dataset. Parameters ---------- ax : matplotlib.axes.Axes, optional An axis to draw the plot on. If not given, it will plot on the last used axis. title : str, optional The title of the plot. xlim : tuple, optional The limits of x axis. ylim : tuple, optional The limits of y axis. kwargs : dict, optional Additional keyword arguments to pass to plot function. Note ---- If SPP positions are correctly set, it will mark them on plot. """ datacolor = kwargs.pop("color", "red") nospp = kwargs.pop("nospp", False) _unit = self._render_unit(self.unit, mpl=True) xlabel = f"$\lambda\,[{_unit}]$" if self.probably_wavelength else f"$\omega\,[{_unit}]$" overwrite = kwargs.pop("overwrite", None) if overwrite is not None: xlabel = overwrite if ax is None: ax = self.plt self.plt.ylabel("I") self.plt.xlabel(xlabel) if xlim: self.plt.xlim(xlim) if ylim: self.plt.ylim(ylim) if title: self.plt.title(title) else: ax.set(ylabel="I") ax.set(xlabel=xlabel) if xlim: ax.set(xlim=xlim) if ylim: ax.set(ylim=ylim) if title: ax.set(title=title) if np.iscomplexobj(self.y): ax.plot(self.x, np.abs(self.y), color=datacolor, **kwargs) else: try: ax.plot(self.x, self.y_norm, color=datacolor, **kwargs) except (ValueError, TypeError): ax.plot(self.x, self.y, color=datacolor, **kwargs) if not nospp: self._plot_SPP_if_valid(ax=ax, color="black", marker="o", markersize=10, label="SPP") def show(self): """ Equivalent with plt.show(). """ self.plt.show(block=True) @inplacify def normalize(self, filename=None, smoothing_level=0): """ Normalize the interferogram by finding upper and lower envelope on an interactive matplotlib editor. Points can be deleted with key `d` and inserted with key `i`. Also points can be dragged using the mouse. On complete just close the window. Must be called with interactive backend. The best practice is to call this function inside `~pysprint.interactive` context manager. Parameters ---------- filename : str, optional Save the normalized interferogram named by filename in the working directory. If not given it will not be saved. Default None. smoothing_level : int, optional The smoothing level used on the dataset before finding the envelopes. It applies Savitzky-Golay filter under the hood. Default is 0. """ x, y, _, _ = self._safe_cast() if smoothing_level != 0: x, y = savgol(x, y, [], [], window=smoothing_level) _l_env = DraggableEnvelope(x, y, "l") y_transform = _l_env.get_data() _u_env = DraggableEnvelope(x, y_transform, "u") y_final = _u_env.get_data() self.y = y_final self.y_norm = y_final self._is_normalized = True self.plt.title("Final") self.plot() self.show() if filename: if not filename.endswith(".txt"): filename += ".txt" np.savetxt(filename, np.column_stack((self.x, self.y)), delimiter=",") print(f"Successfully saved as {filename}.") return self def open_SPP_panel(self, header=None): """ Opens the interactive matplotlib editor for SPP data. Use `i` button to add a new point, use `d` key to delete one. The delay field is parsed to only get the numeric values. Close the window on finish. Must be called with interactive backend. The best practice is to call this function inside `~pysprint.interactive` context manager. Parameters ---------- header : str, optional An arbitary string to include as header. This can be any attribute's name, or even metadata key. """ if header is not None: if isinstance(header, str): head = getattr(self, header, None) metahead = self.meta.get(header, None) info = head or metahead or header else: info = None else: info = None spp_x, spp_y = self._prepare_SPP_data() _spp = SPPEditor( self.x, self.y_norm, info=info, x_pos=np.array(spp_x), y_pos=np.array(spp_y) ) textbox = _spp._get_textbox() textbox.set_val(self._format_delay()) _spp._show() # We need to split this into separate lines, # because empty results are broadcasted twice. delay, positions = _spp.get_data() self.delay, self.positions = delay, positions def emit(self): """ Emit the current SPP data. Returns ------- delay : np.ndarray The delay value for the current dataset, shaped exactly like positions. positions : np.ndarray The given SPP positions. """ if self.positions is None: raise ValueError("SPP positions are missing.") if self.delay is None: raise ValueError("Delay value is missing.") # Important: Use underscored variables to avoid invoking the # setter again, which invokes the callback again, resulting in # a never-ending cycle. if not isinstance(self._positions, np.ndarray): self._positions = np.asarray(self.positions) if not isinstance(self.delay, np.ndarray): self._delay = np.ones_like(self._positions) * self._delay return np.atleast_1d(self.delay), np.atleast_1d(self.positions) def set_SPP_data(self, delay, positions, force=False): """ Set the SPP data (delay and SPP positions) for the dataset. Parameters ---------- delay : float The delay value that belongs to the current interferogram. Must be given in `fs` units. positions : float or iterable The SPP positions that belong to the current interferogram. Must be float or sequence of floats (tuple, list, np.ndarray, etc.) force : bool, optional Can be used to set specific SPP positions which are outside of the dataset's range. Note that in most cases you should avoid using this option. Default is `False`. Note ---- Every position given must be in the current dataset's range, otherwise `ValueError` is raised. Be careful to change domain to frequency before feeding values into this function. """ if not isinstance(delay, float): delay = float(delay) delay = np.array(np.ones_like(positions) * delay) self.delay = delay if force: with suppress(ValueError): self._positions = positions else: self.positions = positions # trigger the callback here too try: self.callback(self, self.parent) except ValueError: pass class MimickedDataset(Dataset): ''' Class that pretends to be a dataset, but its x-y values are missing. It allows to set delay and SPP positions arbitrarily. ''' def __init__(self, delay, positions, *args, **kwargs): if delay is None or positions is None: raise ValueError("must specify SPP data.") x = np.empty(1) y = np.empty(1) super().__init__(x=x, y=y, *args, **kwargs) self.set_SPP_data(delay=delay, positions=positions, force=True) @contextmanager def _suppress_callbacks(self): try: self.restore_parent = self.parent self.restore_callback = self.callback self.parent = None self.callback = lambda x, y: (_ for _ in ()).throw(ValueError('mimicked')) yield finally: self.parent, self.callback = self.restore_parent, self.restore_callback def plot(self, *args, **kwargs): if self.x.size == 1: self.plt.text(0.31, 0.5, 'Dataset is missing.', size=15) # Redefine getter-setter without boundscheck @property def positions(self): return self._positions @positions.setter def positions(self, value): if isinstance(value, np.ndarray) or isinstance(value, Iterable): for val in value: if not isinstance(val, numbers.Number): raise ValueError( f"Expected numeric values, got {type(val)} instead." ) self._positions = value try: self.callback(self, self.parent) except ValueError: pass # delay or position is missing def to_dataset(self, x, y=None, ref=None, sam=None, parse=True, **kwargs): if parse: if y is not None: raise ValueError("cannot specify `y` explicitly if `parse=True`.") self.parent.ifg_names.append(x) if ref is not None and sam is not None: self.parent.sam_names.append(sam) self.parent.ref_names.append(ref) ds = Dataset.parse_raw(x, ref=ref, sam=sam, callback=self.callback, parent=self.parent, **kwargs) else: ds = Dataset(x=x, y=y, ref=ref, sam=sam, callback=self.callback, parent=self.parent, **kwargs) # replace the MimickedDataset with the real one # FIXME: need to invalidate 1 item in cache, not all idx = self.parent._mimicked_index(self) ds.parent._mimicked_set[idx] = ds ds.parent.__getitem__.cache_clear() # drop the reference self.parent._container.pop(self, None) self.parent = None self.callback = lambda x, y: (_ for _ in ()).throw(ValueError('mimicked')) # with self._suppress_callbacks(): ds.set_SPP_data(delay=self.delay, positions=self.positions, force=True) return ds

[ "leeh123peter@gmail.com" ]

leeh123peter@gmail.com

513c7831beef1af21d4ecefc4ab419f8069a9ef7

af5673178ad4cd5dd153ad0cece0e9f8a171bdd9

/inventory/models.py

b7894aa7db25e934ab44b5f7c3efbea888c9ea4b

[]

no_license

saadatqadri/unlyst

d0bd21e6ae7173acc4392c666561dc7ebd6caa6a

7fc31a8e33ecb625f093acbb7c445adc0e63e0d7

refs/heads/master

2016-08-03T11:58:46.145149

2014-09-20T13:51:38

null

0

null

UTF-8

Python

false

2,263

py

from django.db import models import random import string from django.core.urlresolvers import reverse # Create your models here. def random_key(size): return ''.join([random.choice(string.letters + string.digits) for i in range(size)]) class Property(models.Model): HOME_TYPE_CHOICES = ( ('H', 'House'), ('C', 'Condominium') ) CITY_CHOICES = ( ('TO', 'Toronto'), ('VAN', 'Vancouver') ) HOUSE_TYPE_CHOICES = ( ('DETACHED', 'Detached'), ('SEMI', 'Semi-detached'), ('ATTACHED', 'Attached') ) BEDROOM_CHOICES = ( ('ONE', '1'), ('ONEHALF', '1.5'), ('TWO', '2'), ('THREE', '3'), ('FOUR', '4'), ('FIVE', '5') ) BATH_CHOICES = ( ('ONE', '1'), ('TWO', '2'), ('THREE', '3'), ('FOUR', '4'), ('FIVE', '5') ) STATUS_CHOICES = ( ('OFFER', 'Make me an offer'), ('SELL', 'Would sell for the right price'), ('NEVER', 'Would never sell') ) identifier = models.CharField(max_length=16, unique=True) home_type = models.CharField(max_length=25, choices=HOME_TYPE_CHOICES) street_number = models.PositiveIntegerField() street_address = models.CharField(max_length=255) suite_number = models.PositiveIntegerField(blank=True) neighborhood = models.CharField(max_length=255) city = models.CharField(max_length=255, choices=CITY_CHOICES) house_type = models.CharField(max_length=255, choices=HOUSE_TYPE_CHOICES) lot_size_frontage = models.IntegerField() lot_size_depth = models.IntegerField() num_beds = models.CharField(max_length=25, choices=BEDROOM_CHOICES) num_baths = models.CharField(max_length=25, choices=BATH_CHOICES) num_park = models.IntegerField() unlysted_value = models.PositiveIntegerField(blank=True) status = models.CharField(max_length=25, choices=STATUS_CHOICES) photo = models.ImageField(upload_to='images', blank=True) def __unicode__(self): return '_'.join([ str(self.street_number), self.street_address, self.city, ]) def save(self, force_insert=False, force_update=False, using=None, update_fields=None): if self.identifier is None or len(self.identifier) == 0: self.identifier = random_key(16) models.Model.save(self, force_insert, force_update, using, update_fields) def get_absolute_url(self): return reverse('property-view', kwargs={'pk': self.id})

[ "saadat@vermillionapps.com" ]

saadat@vermillionapps.com

bfd5921d432ef852a048251f64ed461d57cc67a5

ea1d6d4ba29268c17523eaa7fb64cad18cbb5e1c

/scrapy_realestate/pipelines.py

7791c9e3a29fce209e80bd201f185d4460104b12

[]

no_license

zhongw117/scrapy_realestate

c6e671545bfa13dec382a2dd7edd4e75023a8cbf

a3e1d90e965e18461db3b62fb17c5e676c922c18

refs/heads/master

2020-05-17T05:21:48.548298

2019-04-30T02:06:12

183,530,190

0

null

UTF-8

Python

false

297

py

# -*- coding: utf-8 -*- # Define your item pipelines here # # Don't forget to add your pipeline to the ITEM_PIPELINES setting # See: https://doc.scrapy.org/en/latest/topics/item-pipeline.html class ScrapyRealestatePipeline(object): def process_item(self, item, spider): return item

[ "zhongw117@gmail.com" ]

zhongw117@gmail.com

2fdd5d3993d5c05d754dc6d7e2ab5523a6b68629

9ee8de4544d9de8b9690bf425245103d0b77fc5b

/trimesh/path/io/svg_io.py

25dfb85679aea6f0a8c9840591d4bcb980973722

[ "MIT" ]

permissive

Artur-Sampaio/trimesh

80a926495b1f71eedc99fb82130575841c4c9ae7

3743ae2d932d9f7eab9ad69e2626e1646589bb2c

refs/heads/master

2020-03-23T13:17:14.545609

2018-07-20T16:15:54

141,610,010

0

MIT

2018-07-19T17:16:51

null

UTF-8

Python

false

7,865

py

import numpy as np from string import Template from collections import deque from xml.dom.minidom import parseString as parse_xml from .. import entities as entities_mod from ..arc import arc_center from ...resources import get_resource from ...constants import log from ...constants import res_path as res from ... import util _template_svg = Template(get_resource('svg.xml.template')) try: from svg.path import parse_path except BaseException: log.warning('SVG path loading unavailable!') def svg_to_path(file_obj, file_type=None): """ Load an SVG file into a Path2D object. Parameters ----------- file_obj: open file object file_type: unused Returns ----------- loaded: dict with kwargs for Path2D constructor """ # first, we grab all of the path strings from the xml file xml = parse_xml(file_obj.read()) paths = [p.attributes['d'].value for p in xml.getElementsByTagName('path')] return _svg_path_convert(paths) def _svg_path_convert(paths): """ Convert an SVG path string into a Path2D object Parameters ------------- paths: list of strings Returns ------------- drawing: loaded, dict with kwargs for Path2D constructor """ def complex_to_float(values): return np.array([[i.real, i.imag] for i in values]) def load_line(svg_line): points = complex_to_float([svg_line.point(0.0), svg_line.point(1.0)]) if not starting: points[0] = vertices[-1] entities.append(entities_mod.Line(np.arange(2) + len(vertices))) vertices.extend(points) def load_arc(svg_arc): points = complex_to_float([svg_arc.start, svg_arc.point(.5), svg_arc.end]) if not starting: points[0] = vertices[-1] entities.append(entities_mod.Arc(np.arange(3) + len(vertices))) vertices.extend(points) def load_quadratic(svg_quadratic): points = complex_to_float([svg_quadratic.start, svg_quadratic.control, svg_quadratic.end]) if not starting: points[0] = vertices[-1] entities.append(entities_mod.Bezier(np.arange(3) + len(vertices))) vertices.extend(points) def load_cubic(svg_cubic): points = complex_to_float([svg_cubic.start, svg_cubic.control1, svg_cubic.control2, svg_cubic.end]) if not starting: points[0] = vertices[-1] entities.append(entities_mod.Bezier(np.arange(4) + len(vertices))) vertices.extend(points) entities = deque() vertices = deque() loaders = {'Arc': load_arc, 'Line': load_line, 'CubicBezier': load_cubic, 'QuadraticBezier': load_quadratic} for svg_string in paths: starting = True for svg_entity in parse_path(svg_string): loaders[svg_entity.__class__.__name__](svg_entity) loaded = {'entities': np.array(entities), 'vertices': np.array(vertices)} return loaded def export_svg(drawing, return_path=False, **kwargs): """ Export a Path2D object into an SVG file. Parameters ----------- drawing: Path2D object return_path: bool, if True return only path string Returns ----------- as_svg: str, XML formatted as SVG """ if not util.is_instance_named(drawing, 'Path2D'): raise ValueError('drawing must be Path2D object!') points = drawing.vertices.view(np.ndarray).copy() def circle_to_svgpath(center, radius, reverse): radius_str = format(radius, res.export) path_str = ' M ' + format(center[0] - radius, res.export) + ',' path_str += format(center[1], res.export) path_str += ' a ' + radius_str + ',' + radius_str path_str += ',0,1,' + str(int(reverse)) + ',' path_str += format(2 * radius, res.export) + ',0' path_str += ' a ' + radius_str + ',' + radius_str path_str += ',0,1,' + str(int(reverse)) + ',' path_str += format(-2 * radius, res.export) + ',0 Z' return path_str def svg_arc(arc, reverse): """ arc string: (rx ry x-axis-rotation large-arc-flag sweep-flag x y)+ large-arc-flag: greater than 180 degrees sweep flag: direction (cw/ccw) """ arc_idx = arc.points[::((reverse * -2) + 1)] vertices = points[arc_idx] vertex_start, vertex_mid, vertex_end = vertices center_info = arc_center(vertices) C, R, angle = (center_info['center'], center_info['radius'], center_info['span']) if arc.closed: return circle_to_svgpath(C, R, reverse) large_flag = str(int(angle > np.pi)) sweep_flag = str(int(np.cross(vertex_mid - vertex_start, vertex_end - vertex_start) > 0.0)) arc_str = move_to(arc_idx[0]) arc_str += 'A {},{} 0 {}, {} {},{}'.format(R, R, large_flag, sweep_flag, vertex_end[0], vertex_end[1]) return arc_str def move_to(vertex_id): x_ex = format(points[vertex_id][0], res.export) y_ex = format(points[vertex_id][1], res.export) move_str = ' M ' + x_ex + ',' + y_ex return move_str def svg_discrete(entity, reverse): """ Use an entities discrete representation to export a curve as a polyline """ discrete = entity.discrete(points) if reverse: discrete = discrete[::-1] template = ' M {},{} ' + (' L {},{}' * (len(discrete) - 1)) result = template.format(*discrete.reshape(-1)) return result def convert_path(path, reverse=False, close=True): path = path[::(reverse * -2) + 1] converted = [] for i, entity_id in enumerate(path): entity = drawing.entities[entity_id] etype = entity.__class__.__name__ if etype in converters: converted.append(converters[etype](entity, reverse)) else: converted.append(svg_discrete(entity, reverse)) # remove leading and trailing whitespace converted = ' '.join(converted) + ' ' return converted # only converters where we want to do something # other than export a curve as a polyline converters = {'Arc': svg_arc} path_str = '' for path_index, path in enumerate(drawing.paths): reverse = not (path_index in drawing.root) path_str += convert_path(path, reverse=reverse, close=True) # entities which haven't been included in a closed path path_str += convert_path(drawing.dangling, reverse=False, close=False) path_str = path_str.strip() if return_path: return path_str # format as XML if 'stroke_width' in kwargs: stroke_width = float(kwargs['stroke_width']) else: stroke_width = drawing.extents.max() / 800.0 subs = {'PATH_STRING': path_str, 'MIN_X': points[:, 0].min(), 'MIN_Y': points[:, 1].min(), 'WIDTH': drawing.extents[0], 'HEIGHT': drawing.extents[1], 'STROKE': stroke_width} result = _template_svg.substitute(subs) return result

[ "mik3dh@gmail.com" ]

mik3dh@gmail.com

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/cve_2_MSF_exploit_Mapping/mapper_cve_exploit.py

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[]

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Gh0st0ne/Xerror

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refs/heads/master

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2020-08-12T06:38:31

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from opvs_csv_parser import openvas_csv_parse_detail from msf_cve_extracter import msf_csv_extract class mapper_opn2msf_cve(): def __init__(self,openvas_csv_file, msf_module_file): self.openvas_csv_file = openvas_csv_file self.msf_module_file = msf_module_file self.opvas_csv = openvas_csv_parse_detail(self.openvas_csv_file) self.op_csv = self.opvas_csv.openvas_cve_dict() #contain openvas host cve and ip {'port#':cve , 'ip_addr':'' } self.op_resul = self.opvas_csv.openvas_result_dict() #contain all result e.g resul['ports']['80']['severity']. ip,host self.msf_cve = msf_csv_extract(self.msf_module_file) self.msf_cve = self.msf_cve.msf_exploit_cve() self.msf_cve_lst = [] self.msf_exploit = [] self.ip_addr = '' self.host_port = [] self.host_cve = [] self.host_cve_port_dict = {} #final resul for cve as key and port value self.msf_cve_seperator() self.openvas_cve_seperator() def msf_cve_seperator(self): for k,v in self.msf_cve.items(): if k: self.msf_cve_lst.append(k) self.msf_exploit.append(v) # print len(self.msf_cve_lst) # print len(self.msf_exploit) def openvas_cve_seperator(self): # print self.op_csv for k,v in self.op_csv.items(): if k =='ip_addr': self.ip_addr = v else: self.host_port.append(k) v = v.replace(" ","") self.host_cve.append(v) one_port_cve = v.split(",") for i in one_port_cve: self.host_cve_port_dict[i] = k # k= port number and i= cve number for port def mapper(self): print "*"*65 print " Mapped Exploits " print "*"*65 # print self.ip_addr temp_final_mapping_resul = {} temp_final_mapping_resul['ip'] = self.ip_addr for i in self.msf_cve_lst: temp_cve_mapping_resul = [] for j in self.host_cve: if i == j: cve = i serv_port = self.host_cve_port_dict[i] exploit = self.msf_cve[i] vul_sevrity = self.op_resul['ports'][self.host_cve_port_dict[i]]['sevrity'] vul_protocol= self.op_resul['ports'][self.host_cve_port_dict[i]]['proto'] temp_cve_mapping_resul.append(cve) temp_cve_mapping_resul.append(serv_port) temp_cve_mapping_resul.append(vul_protocol) temp_cve_mapping_resul.append(vul_sevrity) temp_cve_mapping_resul.append(exploit) temp_final_mapping_resul[cve] = temp_cve_mapping_resul print temp_cve_mapping_resul # resul ="" # resul = i+","+self.host_cve_port_dict[i]+","+self.msf_cve[i] # print resul # print self.op_resul['ports'][self.host_cve_port_dict[i]]['sevrity'] # print cve,port,exploit,vul_sevrity # print temp_final_mapping_resul.keys() print "*"*65 # print temp_final_mapping_resul['ip'] # print temp_final_mapping_resul['CVE-2007-2447'] # print # print ''' return will be mapped cve with msf exploits dictionary contains ip cve :[list of details e.g port# porotocol rank and exploit name ] e.g temp_final_mapping_resul['CVE-2004-2687'] ''' print temp_final_mapping_resul if __name__ == '__main__': opvas_csv_file = '< openvas host scanned CSV file path >' msf_exploit2cve_file = '/root/Desktop/cve2exploit_Mapping/msf_module_result/msf_module_cve.txt' #this hard coded msf module file containg exploit and cve number obj= mapper_opn2msf_cve(opvas_csv_file,msf_exploit2cve_file) print obj.mapper()

[ "noreply@github.com" ]

Gh0st0ne.noreply@github.com

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BriamB/CVapp_Master

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refs/heads/master

2023-07-31T07:24:48.433435

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""" WSGI config for CVapp1 project. It exposes the WSGI callable as a module-level variable named ``application``. For more information on this file, see https://docs.djangoproject.com/en/3.0/howto/deployment/wsgi/ """ import os from django.core.wsgi import get_wsgi_application os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'CVapp1.settings') application = get_wsgi_application()

[ "briam.bermudez11@gmail.com" ]

briam.bermudez11@gmail.com

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[ "LicenseRef-scancode-warranty-disclaimer" ]

no_license

z0on/AFS-analysis-with-moments

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#!/usr/bin/env python3 # simple "primary contact" # split, same size but two migration epochs in each pop, no migration in first epoch, symmetric in second epoch # genomic islands # n(para): 8 import matplotlib matplotlib.use('PDF') import moments import pylab import random import matplotlib.pyplot as plt import numpy as np from numpy import array from moments import Misc,Spectrum,Numerics,Manips,Integration,Demographics1D,Demographics2D import sys infile=sys.argv[1] pop_ids=[sys.argv[2],sys.argv[3]] projections=[int(sys.argv[4]),int(sys.argv[5])] if len(sys.argv)==9: params = np.loadtxt(sys.argv[8], delimiter=" ", unpack=False) else: params=[1,1,1,1,1,1,0.5,0.01] # mutation rate per sequenced portion of genome per generation: for A.millepora, 0.02 mu=float(sys.argv[6]) # generation time, in thousand years: 0.005 (5 years) gtime=float(sys.argv[7]) # set Polarized=False below for folded AFS analysis fs = moments.Spectrum.from_file(infile) data=fs.project(projections) ns=data.sample_sizes np.set_printoptions(precision=3) #------------------- # split into unequal pop sizes with asymmetrical migration def sc1il(params , ns): # p_misid: proportion of misidentified ancestral states nu1_1, nu2_1, T0, T, m,mi, P, p_misid = params sts = moments.LinearSystem_1D.steady_state_1D(ns[0] + ns[1]) fs = moments.Spectrum(sts) fs = moments.Manips.split_1D_to_2D(fs, ns[0], ns[1]) fs.integrate([nu1_1, nu2_1], T0, m = np.array([[0, 0], [0, 0]])) fs.integrate([nu1_1, nu2_1], T, m = np.array([[0, m], [m, 0]])) stsi = moments.LinearSystem_1D.steady_state_1D(ns[0] + ns[1]) fsi = moments.Spectrum(stsi) fsi = moments.Manips.split_1D_to_2D(fsi, ns[0], ns[1]) fsi.integrate([nu1_1, nu2_1], T0, m = np.array([[0, 0], [0, 0]])) fsi.integrate([nu1_1, nu2_1], T, m = np.array([[0, mi], [mi, 0]])) fs2=P*fsi+(1-P)*fs return (1-p_misid)*fs2 + p_misid*moments.Numerics.reverse_array(fs2) func=sc1il upper_bound = [100, 100, 100, 100, 200,200,0.999,0.25] lower_bound = [1e-3,1e-3,1e-3,1e-3,1e-5,1e-5,0.001,1e-5] params = moments.Misc.perturb_params(params, fold=2, upper_bound=upper_bound, lower_bound=lower_bound) poptg = moments.Inference.optimize_log(params, data, func, lower_bound=lower_bound, upper_bound=upper_bound, verbose=False, maxiter=30) # extracting model predictions, likelihood and theta model = func(poptg, ns) ll_model = moments.Inference.ll_multinom(model, data) theta = moments.Inference.optimal_sfs_scaling(model, data) # random index for this replicate ind=str(random.randint(0,999999)) # plotting demographic model plot_mod = moments.ModelPlot.generate_model(func, poptg, ns) moments.ModelPlot.plot_model(plot_mod, save_file="sc1ilsm_"+ind+".png", pop_labels=pop_ids, nref=theta/(4*mu), draw_scale=False, gen_time=gtime, gen_time_units="KY", reverse_timeline=True) # bootstrapping for SDs of params and theta # printing parameters and their SDs print( "RESULT","sc1ilsm",ind,len(params),ll_model,sys.argv[1],sys.argv[2],sys.argv[3],poptg,theta) # plotting quad-panel figure witt AFS, model, residuals: moments.Plotting.plot_2d_comp_multinom(model, data, vmin=0.1, resid_range=3, pop_ids =pop_ids) plt.savefig("sc1ilsm_"+ind+"_"+sys.argv[1]+"_"+sys.argv[2]+"_"+sys.argv[3]+"_"+sys.argv[4]+"_"+sys.argv[5]+'.pdf')

[ "matz@utexas.edu" ]

matz@utexas.edu

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/reinforcement_learning/0x03-policy_gradients/policy_gradient.py

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[]

no_license

Viiic98/holbertonschool-machine_learning

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refs/heads/master

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#!/usr/bin/env python3 """ Policy gradient """ import numpy as np def policy(matrix, weight): """ computes to policy with a weight of a matrix """ z = matrix.dot(weight) exp = np.exp(z) return exp / exp.sum() def policy_gradient(state, weight): """ computes the Monte-Carlo policy gradient based on a state and a weight matrix state: matrix representing the current observation of the environment weight: matrix of random weight Return: the action and the gradient (in this order) """ P = policy(state, weight) action = np.random.choice(len(P[0]), p=P[0]) s = P.reshape(-1, 1) softmax = np.diagflat(s) - np.dot(s, s.T) softmax = softmax[action, :] dlog = softmax / P[0, action] gradient = state.T.dot(dlog[None, :]) return action, gradient

[ "xathovic@gmail.com" ]

xathovic@gmail.com

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/aoc_cqkh42/year_2016/day_12.py

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permissive

cqkh42/advent-of-code

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2023-07-23T20:58:49

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from aoc_cqkh42.helpers.base_solution import BaseSolution class Solution(BaseSolution): def part_a(self): registers = {'a': 0, 'b': 0, 'c': 0, 'd': 0} instructions = self.input_.split('\n') return run_program(instructions, registers) def part_b(self): registers = {'a': 0, 'b': 0, 'c': 1, 'd': 0} instructions = self.input_.split('\n') return run_program(instructions, registers) def run_program(instructions, registers): instructions = [instruction.split() for instruction in instructions] index = 0 while True: try: cmd, input_1, *values = instructions[index] except IndexError: return registers['a'] else: incr = 1 if cmd == 'cpy': val = registers.get(input_1, input_1) registers[values[0]] = int(val) elif cmd == 'inc': registers[input_1] += 1 elif cmd == 'dec': registers[input_1] -= 1 elif cmd == 'jnz': val = registers.get(input_1, input_1) if int(val): incr = int(values[0]) index += incr

[ "jackcooper93@gmail.com" ]

jackcooper93@gmail.com

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/pub_n_sub/script/py_msg_sub.py

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VirtuosoRobotics/ROS_Basic

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refs/heads/master

2023-02-28T22:43:41.301648

2021-02-04T15:30:23

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#!/usr/bin/env python import rospy from std_msgs.msg import String from pub_n_sub.msg import Num def callback(data): print data def listener(): rospy.init_node('listener', anonymous=True) rospy.Subscriber("custom_msg", Num, callback) rospy.spin() if __name__ == '__main__': listener()

[ "eric@virtuosorobotics.com" ]

eric@virtuosorobotics.com

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/2020/day23.py

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[]

no_license

LiamSarwas/Advent-of-Code

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import time import itertools import math from pathlib import Path FILE_DIR = Path(__file__).parent class Node(): def __init__(self, cup, next_node): self.cup = cup self.next_node = next_node def __repr__(self): return f"{self.cup} --> {self.next_node.cup}" def construct_linked_list(input_data, part=1): nodes = {} head_node = Node(input_data[0], None) nodes[input_data[0]] = head_node for i in range(1, len(input_data)): new_node = Node(input_data[i], None) nodes[input_data[i-1]].next_node = new_node nodes[input_data[i]] = new_node if part == 1: nodes[input_data[-1]].next_node = head_node return head_node, nodes else: new_node = Node(10, None) nodes[input_data[-1]].next_node = new_node nodes[10] = new_node for i in range(11, 1000001): new_node = Node(i, None) nodes[i-1].next_node = new_node nodes[i] = new_node nodes[1000000].next_node = head_node return head_node, nodes def part_one(input_data): starting_node, nodes = construct_linked_list(input_data) for i in range(100): pulled_nodes = [starting_node.next_node, starting_node.next_node.next_node, starting_node.next_node.next_node.next_node] starting_node.next_node = pulled_nodes[-1].next_node pulled_node_labels = {node.cup for node in pulled_nodes} insert_position = starting_node.cup - 1 if insert_position == 0: insert_position = 9 while insert_position in pulled_node_labels: insert_position -= 1 if insert_position == 0: insert_position = 9 insert_node = nodes[insert_position] insert_next_node = insert_node.next_node insert_node.next_node = pulled_nodes[0] pulled_nodes[-1].next_node = insert_next_node starting_node = starting_node.next_node res = "" current_node = nodes[1] for i in range(8): res += str(current_node.next_node.cup) current_node = current_node.next_node return res def part_two(input_data): starting_node, nodes = construct_linked_list(input_data, part=2) for i in range(10000000): pulled_nodes = [starting_node.next_node, starting_node.next_node.next_node, starting_node.next_node.next_node.next_node] starting_node.next_node = pulled_nodes[-1].next_node pulled_node_labels = {node.cup for node in pulled_nodes} insert_position = starting_node.cup - 1 if insert_position == 0: insert_position = 1000000 while insert_position in pulled_node_labels: insert_position -= 1 if insert_position == 0: insert_position = 1000000 insert_node = nodes[insert_position] insert_next_node = insert_node.next_node insert_node.next_node = pulled_nodes[0] pulled_nodes[-1].next_node = insert_next_node starting_node = starting_node.next_node node_one = nodes[1] return node_one.next_node.cup * node_one.next_node.next_node.cup if __name__ == "__main__": DATA = "215694783" DATA = [int(c) for c in DATA] print(part_one(DATA)) print(part_two(DATA))

[ "lsarwas@domaintools.com" ]

lsarwas@domaintools.com

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/API_Testing/TestSuite/testSuite-2.py

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[]

no_license

adnanhanif793/Assignment

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refs/heads/master

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# importing Modules import requests import jsonpath import json def test_allapi(): # get rest API End point url = 'https://reqres.in/api/users?page=1' print(url) # Execute the rest GET API v_response = requests.get(url) # response code of the request v_responsecode = v_response.status_code # convert the data into JSON json_data = json.loads(v_response.text) # get the per_page value v_per_page = jsonpath.jsonpath(json_data, 'per_page') # get the number of students value v_student_records = jsonpath.jsonpath(json_data, 'data') v_count_records = len(v_student_records[0]) # assert condition assert v_responsecode == 200 assert v_per_page[0] == 3 assert v_count_records == v_per_page[0] # store the Dynamic data v_id = jsonpath.jsonpath(json_data, 'data[1].id') v_email = jsonpath.jsonpath(json_data, 'data[1].email') v_first_name = jsonpath.jsonpath(json_data, 'data[1].first_name') v_last_name = jsonpath.jsonpath(json_data, 'data[1].last_name') # Get the single user details url = 'http://reqres.in/api/users/' + str(v_id[0]) print(url) # Execute the rest GET API v_response = requests.get(url) # response code of the request v_responsecode = v_response.status_code json_data = json.loads(v_response.text) v_id_1 = jsonpath.jsonpath(json_data, 'data.id') v_email_1 = jsonpath.jsonpath(json_data, 'data.email') v_first_name_1 = jsonpath.jsonpath(json_data, 'data.first_name') v_last_name_2 = jsonpath.jsonpath(json_data, 'data.last_name') # assert condition assert v_responsecode == 200 assert v_id_1 == v_id assert v_email_1 == v_email assert v_first_name_1 == v_first_name assert v_last_name_2 == v_last_name # Delete the ID url = 'http://reqres.in/api/users/' + str(v_id[0]) print(url) # Execute the rest GET API v_response = requests.delete(url) # response code of the request v_responsecode = v_response.status_code # assert condition assert v_responsecode == 204 assert len(v_response.text) == 0

[ "adnanhanif793@gmail.com" ]

adnanhanif793@gmail.com

8ed28eff95225efc2d6bc1bbf5c5995ad0914066

40075340d4f8f26da3c15791837b9d411cde2af6

/Labs/Lab05/game_driver.py

c8d8614a3458711835a16a3af4738473f9d6cc58

[]

no_license

dlee533/comp1510-programming-methods

54117912afc5bd8080b36b5726ef185f9668f65e

3114aa37d350f92ea447e894e4320ab633ddce1d

refs/heads/master

2023-04-10T11:05:55.033152

2021-04-23T07:27:35

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from Lab05 import lab05 def main(): print("Generate consonant/Generate vowel function works the following way...") print("Consonant : ", lab05.generate_consonant()) print("Vowel : ", lab05.generate_vowel()) print("The returned consonant and vowel then concatenates to form a single syllable. Like so..") print(lab05.generate_syllable()) print("The returned syllable then concatenates to form a single name of the length of your choice.") syllables = int(input("Enter the number of syllables you want your name to be: ")) print("Name: ", lab05.generate_name(syllables)) print("__________________________________________________________________________________________________") print("Then the choose inventory function accepts two arguments, one with inventory list and the other\n" "number of items purchased. Say there are items list of acid, arrows, battleaxe, blowgun, book, \n" "crossbow, crowbar in the inventory.") inventory = ["acid", "arrows", "battleaxe", "blowgun", "book", "crossbow", "crowbar"] item_number = int(input("How many items wold you like to purchase? ")) items = lab05.choose_inventory(inventory, item_number) print("You have", end=" ") for item in items: print("<" + item + ">", end=" ") print() print("__________________________________________________________________________________________________") print("You can then roll the die to determine your character's attribute values.\n" "Say you roll 6 sided die 3 times, you will get a sum of ", end="") print(lab05.roll_die(3, 6)) print("__________________________________________________________________________________________________") print("At the end, the print character function will take list returned by create_character \n" "function as an argument and output..") character_list = lab05.create_character(syllables) lab05.print_character(character_list) print("__________________________________________________________________________________________________") # Bonus : append the list of purchased elements to the character list and print the entire character print("With item list, the print character function will output..") character_list.append(["Items", "Acid", "Arrows", "Battleaxe", "Blowgun", "Book", "Crossbow", "Crowbar"]) lab05.print_character(character_list) if __name__ == "__main__": main()

[ "donglmin@icloud.com" ]

donglmin@icloud.com

afe0d8b3e752556b5fe6162288013657579331b9

e9708de48c5ce8033599aead69ec7663f458f0ba

/scripts/nano_postproc.py

71ec9daddf66e640476f63fc141bbcb4842a8ef0

[]

no_license

gpetruc/nanoAOD-tools

13c858964a8cc2cb5b606876874d2c570b464187

c924b0aecb4c4a05389f6eab665c9e3e7dd5fb03

refs/heads/master

2022-04-07T16:19:21.453086

2017-09-19T09:50:30

104,087,382

0

1

null

2019-10-04T10:04:25

2017-09-19T14:42:01

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UTF-8

Python

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5,611

py

#!/usr/bin/env python import os, sys import ROOT ROOT.PyConfig.IgnoreCommandLineOptions = True from importlib import import_module from PhysicsTools.NanoAODTools.postprocessing.framework.branchselection import BranchSelection from PhysicsTools.NanoAODTools.postprocessing.framework.datamodel import InputTree from PhysicsTools.NanoAODTools.postprocessing.framework.eventloop import eventLoop from PhysicsTools.NanoAODTools.postprocessing.framework.output import FriendOutput, FullOutput from PhysicsTools.NanoAODTools.postprocessing.framework.preskimming import preSkim if __name__ == "__main__": from optparse import OptionParser parser = OptionParser(usage="%prog [options] outputDir inputFiles") parser.add_option("-s", "--postfix",dest="postfix", type="string", default=None, help="Postfix which will be appended to the file name (default: _Friend for friends, _Skim for skims)") parser.add_option("-J", "--json", dest="json", type="string", default=None, help="Select events using this JSON file") parser.add_option("-c", "--cut", dest="cut", type="string", default=None, help="Cut string") parser.add_option("-b", "--branch-selection", dest="branchsel", type="string", default=None, help="Branch selection") parser.add_option("--friend", dest="friend", action="store_true", default=False, help="Produce friend trees in output (current default is to produce full trees)") parser.add_option("--full", dest="friend", action="store_false", default=False, help="Produce full trees in output (this is the current default)") parser.add_option("--noout", dest="noOut", action="store_true", default=False, help="Do not produce output, just run modules") parser.add_option("--justcount", dest="justcount", default=False, action="store_true", help="Just report the number of selected events") parser.add_option("-I", "--import", dest="imports", type="string", default=[], action="append", nargs=2, help="Import modules (python package, comma-separated list of "); parser.add_option("-z", "--compression", dest="compression", type="string", default=("LZMA:9"), help="Compression: none, or (algo):(level) ") (options, args) = parser.parse_args() if options.friend: if options.cut or options.json: raise RuntimeError("Can't apply JSON or cut selection when producing friends") if not options.noOut: outdir = args[0]; args = args[1:] outpostfix = options.postfix if options.postfix != None else ("_Friend" if options.friend else "_Skim") branchsel = BranchSelection(options.branchsel) if options.branchsel else None if options.compression != "none": ROOT.gInterpreter.ProcessLine("#include <Compression.h>") (algo, level) = options.compression.split(":") compressionLevel = int(level) if algo == "LZMA": compressionAlgo = ROOT.ROOT.kLZMA elif algo == "ZLIB": compressionAlgo = ROOT.ROOT.kZLIB else: raise RuntimeError("Unsupported compression %s" % algo) else: compressionLevel = 0 if not options.noOut: print "Will write selected trees to "+outdir if not options.justcount: if not os.path.exists(outdir): os.system("mkdir -p "+outdir) modules = [] for mod, names in options.imports: import_module(mod) obj = sys.modules[mod] selnames = names.split(",") for name in dir(obj): if name[0] == "_": continue if name in selnames: print "Loading %s from %s " % (name, mod) modules.append(getattr(obj,name)()) if options.noOut: if len(modules) == 0: raise RuntimeError("Running with --noout and no modules does nothing!") for m in modules: m.beginJob() fullClone = (len(modules) == 0) for fname in args: # open input file inFile = ROOT.TFile.Open(fname) #get input tree inTree = inFile.Get("Events") # pre-skimming elist = preSkim(inTree, options.json, options.cut) if options.justcount: print 'Would select %d entries from %s'%(elist.GetN() if elist else inTree.GetEntries(), fname) continue if fullClone: # no need of a reader (no event loop), but set up the elist if available if elist: inTree.SetEntryList(elist) else: # initialize reader inTree = InputTree(inTree, elist) # prepare output file outFileName = os.path.join(outdir, os.path.basename(fname).replace(".root",outpostfix+".root")) outFile = ROOT.TFile.Open(outFileName, "RECREATE", "", compressionLevel) if compressionLevel: outFile.SetCompressionAlgorithm(compressionAlgo) # prepare output tree if options.friend: outTree = FriendOutput(inFile, inTree, outFile) else: # FIXME process the other TTrees if there is a JSON outTree = FullOutput(inFile, inTree, outFile, branchSelection = branchsel, fullClone = fullClone) # process events, if needed if not fullClone: (nall, npass, time) = eventLoop(modules, inFile, outFile, inTree, outTree) print 'Processed %d entries from %s, selected %d entries' % (nall, fname, npass) else: print 'Selected %d entries from %s' % (outTree.tree().GetEntries(), fname) # now write the output outTree.write() outFile.Close() print "Done %s" % outFileName for m in modules: m.endJob()

[ "gpetruc@gmail.com" ]

gpetruc@gmail.com

35bf41215bae8d8193062788656d61eb4d607feb

adca1abc8cee93cfd48570408df41ec4100fedfd

/Simulations/mdp.py

2f4a8c8711d8d8f7492831274349674b9195c3a9

[]

no_license

bchasnov/mdp

8e92d6e0ffb345d7736d25b13241d713df62e68c

9a4e6090bb1192d4af3586601a7c6968b2407b59

refs/heads/master

2020-03-22T16:33:03.321723

2018-07-09T19:46:03

140,333,952

0

null

2018-07-09T19:40:46

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UTF-8

Python

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11,496

py

# -*- coding: utf-8 -*- """ Created on Fri Jun 01 12:09:47 2018 @author: sarah These are helpers for mdpRouting game class """ import numpy as np import cvxpy as cvx import matplotlib.pyplot as plt import networkx as nx class parameters: def __init__(self): self.tau = 27. # $/hr self.vel = 8. # mph self.fuel = 28. # $/gal self.fuelEff = 20. # mi/gal self.rate = 6. # $/mi sDEMAND = np.array([50 , 100, 30 , 120, 30 , 80 , 80 , 20 , 20 , 70 , 20 , 20 ]) ; # ----------generate new constrained reward based on exact penalty------------- # (for 2D reward matrix) def constrainedReward2D(c,toll,constrainedState, time): states, actions = c.shape; constrainedC = np.zeros((states,actions,time)); for t in range(time): constrainedC[:,:,t] = c; if toll[t] > 1e-8: for a in range(actions): constrainedC[constrainedState,a,t] += -toll[t]; return constrainedC; # (for 3D reward matrix): def constrainedReward3D(c,toll,constrainedState): states, actions,time = c.shape; constrainedC = 1.0*c; for t in range(time): if toll[t] > 1e-8: for a in range(actions): constrainedC[constrainedState,a,t] += -toll[t]; return constrainedC; def drawOptimalPopulation(time,pos,G,optRes, is2D = False, constrainedState = None, startAtOne = False, constrainedUpperBound = 0.2): frameNumber = time; v = G.number_of_nodes(); fig = plt.figure(); #ax = plt.axes(xlim=(0, 2), ylim=(-2, 2)) #line, = ax.plot([], [], lw=2) iStart = -5; mag = 80000; cap = mag* np.ones(v); # if(constrainedState != None): # # Draw the red circle # cap[constrainedState]= cap[constrainedState]*(constrainedUpperBound+0.3); nx.draw(G, pos=pos, node_color='w',with_labels=True, font_weight='bold'); # nx.draw_networkx_nodes(G,pos,node_size=3.2/3*cap,node_color='r',alpha=1); # if(constrainedState != None): # # Draw the white circle # cap[constrainedState]= cap[constrainedState]*(constrainedUpperBound+ 0.2); dontStop = True; try: print('running') except KeyboardInterrupt: print('paused') inp =input('continue? (y/n)') for i in range(iStart,frameNumber): try: if is2D: if i < 0: frame = optRes[:,0]; else: frame = optRes[:,i]; else: if i < 0: frame = np.einsum('ij->i', optRes[:,:,0]); else: frame = np.einsum('ij->i', optRes[:,:,i]); if startAtOne: nodesize=[frame[f-1]*frame[f-1]*mag for f in G]; else: nodesize=[frame[f]*frame[f]*mag for f in G]; nx.draw_networkx_nodes(G,pos,node_size=cap/30.,node_color='w',alpha=1) nx.draw_networkx_nodes(G,pos,node_size=nodesize,node_color='c',alpha=1) except KeyboardInterrupt: dontStop = False; plt.show(); plt.pause(0.5); def generateGridMDP(v,a,G,p = 0.8,test = False): """ Generates a grid MDP based on given graph. p is the probability of reaching the target state given an action. Parameters ---------- v : int Cardinality of state space. a : int Cardinality of input space. Returns ------- P : (S,S,A) array Transition probability tensor such that ``P[i,j,k]=prob(x_next=i | x_now=j, u_now=k)``. """ debug = False; # making the transition matrix P = np.zeros((v,v,a)); for node in range(v):#x_now = node neighbours = list(G.neighbors(node)); totalN = len(neighbours); # chance of not reaching action pNot = (1.-p)/(totalN-1); actionIter = 0; if debug: print neighbours; for neighbour in neighbours: # neighbour = x_next P[neighbour,node,actionIter] = p; for scattered in neighbours: if debug: print scattered; if scattered != neighbour: P[scattered,node,actionIter] = pNot; actionIter += 1; while actionIter < a: P[node, node, actionIter] = p; pNot = (1.-p)/(totalN); for scattered in neighbours: P[scattered,node,actionIter] = pNot; actionIter += 1; # making the cost function if test: c = np.zeros((v,a)); c[12] = 10.; else: c = np.random.uniform(size=(v,a)) return P,c; #----------convert cvx variable dictionary into an array of dictated shape def cvxDict2Arr(optDict, shapeList): arr = np.zeros(shapeList); for DIter, key in enumerate(optDict): arr[key] = optDict[key].value; return arr; #----------convert cvx variable list into an array of dictated shape, # mostly used for dual variables, since the cvx constraints are in lists def cvxList2Arr(optList,shapeList,isDual): arr = np.zeros(shapeList); it = np.nditer(arr, flags=['f_index'], op_flags=['writeonly']) for pos, item in enumerate(optList): if isDual: it[0] = item.dual_value; else: it[0] = item.value; it.iternext(); return arr; # truncate one D array to something more readable def truncate(tau): for i in range(len(tau)): if abs(tau[i]) <= 1e-8: tau[i] = 0.0; return tau; def generateMDP(v,a,G, p =0.9): """ Generates a random MDP with finite sets X and U such that |X|=S and |U|=A. each action will take a state to one of its neighbours with p = 0.7 rest of the neighbours will get p =0.3/(n-1) where n is the number of neighbours of this state Parameters ---------- S : int Cardinality of state space. A : int Cardinality of input space. Returns ------- P : (S,S,A) array Transition probability tensor such that ``P[i,j,k]=prob(x_next=i | x_now=j, u_now=k)``. c : (S,A) array Cost such that ``c[i,j]=cost(x_now=i,u_now=j)``. COST IS Cy one^T - D """ debug = False; P= np.zeros((v,v,a)); d = np.zeros((v,a)) for node in range(v):#x_now = node nodeInd = node+1; neighbours = list(G.neighbors(nodeInd)); totalN = len(neighbours); # chance of not reaching action pNot = (1.-p)/(totalN); actionIter = 0; if debug: print neighbours; for neighbour in neighbours: # neighbour = x_next neighbourInd = neighbour - 1; P[neighbourInd,node,actionIter] = p; # chance of ending somewhere else for scattered in neighbours: scatteredInd = scattered -1; if debug: print scattered; if scattered != neighbour: # probablity of ending up at a neighbour P[scatteredInd,node,actionIter] = pNot; # some probability of staying stationary P[node,node,actionIter] =pNot; actionIter += 1; while actionIter < a: # chances of staying still P[node, node, actionIter] = 1.0; # P[node, node, actionIter] = p; # pNot = (1.-p)/(totalN); # for scattered in neighbours: # scatteredInd = scattered -1; # P[scatteredInd,node,actionIter] = pNot; actionIter += 1; # test the cost function c = 1000.*np.ones((v,a)) c[6] = 0.; return P,c def getDistance(node1, node2, dictionary): if node1 == node2: return 0.0; elif node1 < node2: a = node1; b = node2; else: a = node2; b = node1; return dictionary[(a,b)]; def getExpectedDistance(node, G, dictionary): neighbours = list(G.neighbors(node)); totalDistance = 0.; for neighbour in neighbours: totalDistance += getDistance(node, neighbour, dictionary); return totalDistance/len(neighbours); def generateQuadMDP(v,a,G,distances, p =0.9): """ Generates a random MDP with finite sets X and U such that |X|=S and |U|=A. each action will take a state to one of its neighbours with p = 0.7 rest of the neighbours will get p =0.3/(n-1) where n is the number of neighbours of this state Parameters ---------- S : int Cardinality of state space. A : int Cardinality of input space. Returns ------- P : (S,S,A) array Transition probability tensor such that ``P[i,j,k]=prob(x_next=i | x_now=j, u_now=k)``. c : (S,A) array Cost such that ``c[i,j]=cost(x_now=i,u_now=j)``. COST IS Cy one^T - D """ debug = False; P= np.zeros((v,v,a)); c = np.zeros((v,a)); d = np.zeros((v,a)) sP = parameters(); # reward constant for going somewhere else kGo = sP.tau/sP.vel + sP.fuel/sP.fuelEff; for node in range(v):#x_now = node nodeInd = node+1; neighbours = list(G.neighbors(nodeInd)); totalN = len(neighbours); evenP = 1./(totalN +1); # even probability of ending up somewhere when picking up # chance of not reaching action pNot = (1.-p)/(totalN); actionIter = 0; if debug: print neighbours; for neighbour in neighbours: # neighbour = x_next # ACTION = going somewhere else neighbourInd = neighbour - 1; P[neighbourInd,node,actionIter] = p; c[node, actionIter] = -kGo*getDistance(neighbour,nodeInd, distances); d[node, actionIter] = 0; # indedpendent of congestion # chance of ending somewhere else for scattered in neighbours: scatteredInd = scattered -1; if debug: print scattered; if scattered != neighbour: # probablity of ending up at a neighbour P[scatteredInd,node,actionIter] = pNot; # some probability of staying stationary P[node,node,actionIter] =pNot; actionIter += 1; while actionIter < a: # ACTION = picking up rider P[node, node, actionIter] = evenP; for scattered in neighbours: scatteredInd = scattered -1; P[scatteredInd,node,actionIter] = evenP; c[node, actionIter] = (sP.rate - kGo)*getExpectedDistance(nodeInd,G,distances); # constant offset d[node,actionIter] = sP.tau/sDEMAND[node]; # dependence on current density # P[node, node, actionIter] = p; # pNot = (1.-p)/(totalN); actionIter += 1; # test the cost function # c = 1000.*np.ones((v,a)) # c[6] = 0.; return P,c,d

[ "crab.apples00@gmail.com" ]

crab.apples00@gmail.com

00752fa113e81d092925d5138c1115e88aced07f

b2ff835c817e691929b57f2cdb822c391583db68

/Embedding_Combination_Layer_2/helper.py

078678f1f3b17e6db669bc77875e7d5b99483eb8

[]

no_license

deepsahni11/Q-A_Toolkit

f5679b4d716f61e0782b35fc14c552366cea0d78

4c505a7cf3330c1806a6ae441eb28f6d6560db03

refs/heads/master

2020-05-31T15:25:13.730212

2019-09-11T12:39:01

190,356,295

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UTF-8

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py

import torch import torch.optim as optim import torch.nn as nn import torch.nn.functional as F import numpy as np import logging from numpy import genfromtxt from torch.autograd import Variable from torch.nn import Embedding from torch import zeros, from_numpy, Tensor, LongTensor, FloatTensor from argparse import ArgumentParser class HighwayLayer(nn.Module): # TODO: We may need to add weight decay here def __init__(self, size, bias_init=0.0, nonlin=nn.ReLU(inplace=True), gate_nonlin=F.sigmoid): super(HighwayLayer, self).__init__() self.nonlin = nonlin self.gate_nonlin = gate_nonlin self.lin = nn.Linear(size, size) self.gate_lin = nn.Linear(size, size) self.gate_lin.bias.data.fill_(bias_init) def forward(self, x): trans = self.nonlin(self.lin(x)) gate = self.gate_nonlin(self.gate_lin(x)) return torch.add(torch.mul(gate, trans), torch.mul((1 - gate), x)) class HighwayNet(nn.Module): def __init__(self, depth, size): super(HighwayNet, self).__init__() layers = [HighwayLayer(size) for _ in range(depth)] self.main_ = nn.Sequential(*layers) def forward(self, x): return self.main_(x) class concatEmbeddings(nn.Module): def __init__(self): super(concatEmbeddings, self).__init__() def forward(word_embeddings, char_embeddings): res = torch.concat([word_embeddings, char_embeddings], dim=2) return res class identityModule(nn.Module): def __init__(self): super(identityModule, self).__init__() def forward(word_embeddings): return word_embeddings

[ "na16b110@smail.iitm.ac.in" ]

na16b110@smail.iitm.ac.in

0a3abdcfbe81d55fe58fd80e5e3056be35adcef7

f88e1b93b5c8c2c325413f52865f475d9fa84cd3

/control03.py

11d60f7a8b8f484724a57f74969d1c96e4bf1838

[]

no_license

ossuaryy/0921

1585125039ce17bf02231a022bb80cc4d4cbe96a

de90f605bf429fa0a47677e08fbc84ad7a74ccc8

refs/heads/master

2020-07-29T17:41:59.517337

2019-09-21T03:29:15

209,906,046

0

null

UTF-8

Python

false

65

py

add = 0 for i in range(1, 101): add = add+i print(add)

[ "noreply@github.com" ]

ossuaryy.noreply@github.com

8bac7a3a1b7c2f9c3c167f6c4c8b6d9254e0f60b

9cfaffd2e3fe06467d0e4f7e671e459b04d123ea

/users/migrations/0001_initial.py

9f6d61dada646cd94a521be53162bed1053fb9f2

[]

no_license

montenegrop/djangotravelportal

80b72b9e3da517885b6d596fad34049545a598a5

8a15fc387d20b12d16c171c2d8928a9b9d4ba5e1

refs/heads/main

2023-01-29T22:12:58.633181

2020-12-05T15:44:39

318,826,064

0

null

UTF-8

Python

false

5,767

py

# Generated by Django 3.1 on 2020-10-03 18:13 from django.conf import settings from django.db import migrations, models import django.db.models.deletion import django.utils.timezone class Migration(migrations.Migration): initial = True dependencies = [ ('operators', '0001_initial'), ('places', '0001_initial'), migrations.swappable_dependency(settings.AUTH_USER_MODEL), ] operations = [ migrations.CreateModel( name='Badge', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('name', models.CharField(max_length=300)), ], ), migrations.CreateModel( name='UserProfile', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('screen_name', models.CharField(max_length=200, null=True)), ('gender', models.CharField(choices=[('M', 'Male'), ('F', 'Female')], default='M', max_length=15, null=True)), ('date_of_birth', models.DateField(blank=True, null=True)), ('safari_count', models.IntegerField(blank=True, default=0, null=True)), ('first_kudu_email', models.BooleanField(blank=True, default=False, null=True)), ('description', models.TextField(blank=True, null=True)), ('luxury_level', models.CharField(choices=[('Luxury', 'Luxury'), ('Mid', 'Mid'), ('Back-to-basics', 'Back-to-basics')], max_length=20, null=True)), ('big_five', models.IntegerField(blank=True, default=0, null=True)), ('avatar', models.ImageField(blank=True, null=True, upload_to='images/user_avatar/%Y/%m/%d')), ('send_newsletter', models.BooleanField(default=False, null=True)), ('use_screen_name', models.BooleanField(blank=True, default=False, null=True)), ('hide_email', models.BooleanField(default=False, null=True)), ('withhold_information', models.BooleanField(default=False, null=True)), ('welcome_email_sent', models.BooleanField(default=False)), ('suppress_email', models.BooleanField(blank=True, default=False, null=True)), ('date_created', models.DateTimeField(auto_now_add=True)), ('date_modified', models.DateTimeField(auto_now=True)), ('website', models.CharField(blank=True, max_length=1000, null=True)), ('whatsapp', models.CharField(blank=True, max_length=1000, null=True)), ('blog', models.CharField(blank=True, max_length=1500, null=True)), ('skype', models.CharField(blank=True, max_length=1000, null=True)), ('linkedin', models.CharField(blank=True, max_length=1000, null=True)), ('facebook', models.CharField(blank=True, max_length=1000, null=True)), ('pinterest', models.CharField(blank=True, max_length=1000, null=True)), ('instagram', models.CharField(blank=True, max_length=1000, null=True)), ('youtube', models.CharField(blank=True, max_length=1000, null=True)), ('twitter', models.CharField(blank=True, max_length=1000, null=True)), ('user_type', models.CharField(choices=[('LO', 'Lodge staff/owner'), ('NP', 'Non-profit'), ('SG', 'Safari driver/guide'), ('SE', 'Safari enthusiast'), ('TO', 'Safari tour operator'), ('TA', 'Travel agency'), ('TW', 'Travel writer')], max_length=5, null=True)), ('reviews_count', models.IntegerField(default=0)), ('kudus_count', models.IntegerField(default=0)), ('activities_enjoy', models.ManyToManyField(blank=True, related_name='activities_enjoy', to='places.Activity')), ('animals_seen', models.ManyToManyField(blank=True, to='places.Animal')), ('badges', models.ManyToManyField(blank=True, to='users.Badge')), ('countries_visited', models.ManyToManyField(blank=True, related_name='countries_visited', to='places.CountryIndex')), ('country', models.ForeignKey(null=True, on_delete=django.db.models.deletion.PROTECT, to='places.country')), ('parks_visited', models.ManyToManyField(blank=True, related_name='parks_visited', to='places.Park')), ('tour_operator', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='profiles', to='operators.touroperator')), ('user', models.OneToOneField(on_delete=django.db.models.deletion.CASCADE, related_name='profile', to=settings.AUTH_USER_MODEL)), ], ), migrations.CreateModel( name='Fav', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('uuid', models.CharField(blank=True, max_length=300, null=True)), ('date_created', models.DateTimeField(default=django.utils.timezone.now)), ('date_deleted', models.DateTimeField(blank=True, null=True)), ('itinerary', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='favs', to='operators.itinerary')), ('tour_operator', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='favs', to='operators.touroperator')), ('user', models.ForeignKey(blank=True, null=True, on_delete=django.db.models.deletion.PROTECT, related_name='favs', to=settings.AUTH_USER_MODEL)), ], ), ]

[ "juan.crescente@gmail.com" ]

juan.crescente@gmail.com

ef5d0a45b288009e45a4b7b3c48badd373ae2427

1bf71bcaef3f8e3bb2303e4a145e93636078cb4d

/files/statistic.py

dcec4f5a9525f22399ef00fa0c190011b8ce61e4

[]

no_license

siep-icst/data-set

a688ee81578228f154dc9af35f24d783b8f715de

c1b03524d5613f09675a797a923d3c3bb9850a60

refs/heads/master

2020-05-17T09:47:23.025558

2020-03-21T02:43:16

183,642,089

2

1

null

UTF-8

Python

false

751

py

data_name="nasa" info_path=data_name+"_info.igraph" info_file=open(info_path,'r') graph_num=0 tot_v_num=0 tot_e_num=0 max_vlabel=0 while True: raw_info_line=info_file.readline() tmp_info_list=raw_info_line.strip().split() tmp_line_len=len(tmp_info_list) if(tmp_line_len<1): break graph_num+=1 tmp_v_num=int(tmp_info_list[0]) tmp_e_num=int(tmp_info_list[1]) tmp_max_vlabel=int(tmp_info_list[2]) tot_v_num+=tmp_v_num tot_e_num+=tmp_e_num if(tmp_max_vlabel>max_vlabel): max_vlabel=tmp_max_vlabel print("dataset: "+data_name) print("graph_num: "+str(graph_num)) print("tot_v_num: "+str(tot_v_num)) print("tot_e_num: "+str(tot_e_num)) print("max_vlabel: "+str(max_vlabel)) info_file.close()

[ "weixinluwx@foxmail.com" ]

weixinluwx@foxmail.com

17790a7c5eafb900cbde4e6244b9fbf262461b87

381ad6a46d599fbb5d3eb5ec3f9813180a027062

/newsletters/mail.py

abcdb296d0bacdade2383ed83930832519b93a50

[]

no_license

manueljrr/pickmail

3684ab7fd42dc611bec498a2eb26374d414ae300

4840a5501bfc6116b5a0d6e5d29b209b75b12177

refs/heads/master

2020-07-23T21:06:05.703422

2016-08-29T11:29:29

66,843,840

0

null

UTF-8

Python

false

732

py

#!/usr/bin/env python # coding: utf-8 # Django imports from django.core.mail import EmailMessage, EmailMultiAlternatives from django.conf import settings def send_text_email(subject, body, email_to, bcc=[]): """ Send text emails :param title: :param body: :param email_from: :param email_to: :return: """ email = EmailMessage( subject=subject, body=body, to=email_to, bcc=bcc ) return email.send() def send_mail_from_html(subject, body, email_to, bcc=[]): email = EmailMultiAlternatives( subject=subject, body=body, to=email_to, bcc=bcc ) email.attach_alternative(body, 'text/html') return email.send()

[ "manueljrr@gmail.com" ]

manueljrr@gmail.com

88389b2522bd61c5952426227f80e0d9af634bd8

90ed257f4e193b0b19e5bcb9d4a384b0cf6e6d3f

/MUSEUMS/spiders/museum49.py

f893c080142b0dc50fb9d76b34986191ac5dc781

[]

no_license

BUCT-CS1701-SE-Design/webDataCollectionSystem

adc8ca97dda48c508909e73c02bb6622b93534b8

f653b973b265d52e2ba4711b689c2de637a2cf8b

refs/heads/master

2022-08-22T14:16:54.857847

2020-05-17T07:33:38

256,792,222

1

null

2020-05-17T01:27:22

2020-04-18T15:49:35

Python

UTF-8

Python

false

1,900

py

# -*- coding: utf-8 -*- import scrapy from MUSEUMS.items import MuseumsItem #包含这个item类，必须设置 #from scrapy.crawler import CrawlerProcess class Museum49Spider(scrapy.Spider): name = 'museum49' allowed_domains = ['czmuseum.com'] start_urls = ['http://www.czmuseum.com/default.php?mod=article&do=detail&tid=1'] # 设置经过哪个pipeline去处理，必须设置 custom_settings = { 'ITEM_PIPELINES': {'MUSEUMS.pipelines.MuseumPipeline': 5, } } def parse(self, response): item=MuseumsItem() item["museumID"] = 49 item["museumName"] = '常州博物馆' item["Location"] = '江苏省常州市龙城大道1288号' item["Link"] = 'http://www.czmuseum.com' item["opentime"] = '9:00-17:00（16:00停止入馆）, 周一闭馆（法定节假日除外）' item["telephone"] = '0519-85165089、0519-85165080 转 8078' content = '常州博物馆创建于1958年10月，是一所集历史、艺术、自然为一体的地方综合性博物馆，为国家一级博物馆、国家4A级旅游景区。目前常州博物馆拥有藏品3万余件/套，其中国家一级文物51件（国宝级文物1件）、二级文物245件、三级文物2945件。文物藏品中的良渚玉器、春秋战国原始青瓷器、宋元的漆器与瓷器、明清书画，均为馆藏特色。常州博物馆内设有全国首家、江苏省唯一的少儿自然博物馆，拥有各类自然标本近5000种约10000件，已形成以皮毛类动物、海洋动物、国内外精品昆虫、地区性中草药、矿物晶体及古生物化石为特色的六大收藏系列，其中圣贤孔子鸟化石、翁戎螺、金斑喙凤蝶等一批化石和生物标本世界罕见，具有极高的科学价值。' content = "".join(content).strip() item["introduction"] = content yield item

[ "503036729@qq.com" ]

503036729@qq.com

277c3e1d0a43d4dda02a6801f9e7621cca0c6837

015d68e2c54ec765904af41565f49062c0e2315b

/venv/Lib/site-packages/werkzeug/debug/tbtools.py

887574d5016a57839bca801c899118118d0be3f0

[]

no_license

CapstoneProj5/LMNFlask

000f72d5bf8ab2d126b9c2a936f5368f6fd04b41

89103b27e60f3464835123295cc5de346e32803a

refs/heads/master

2022-12-11T07:36:11.132984

2018-04-16T22:46:14

127,963,006

0

4

null

2022-12-08T00:58:52

2018-04-03T20:10:28

Python

UTF-8

Python

false

18,459

py

# -*- coding: utf-8 -*- """ werkzeug.debug.tbtools ~~~~~~~~~~~~~~~~~~~~~~ This module provides various traceback related utility functions. :copyright: (c) 2014 by the Werkzeug Team, see AUTHORS for more details. :license: BSD. """ import re import os import sys import json import inspect import traceback import codecs from tokenize import TokenError from werkzeug.utils import cached_property, escape from werkzeug.debug.console import Console from werkzeug._compat import range_type, PY2, text_type, string_types, \ to_native, to_unicode from werkzeug.filesystem import get_filesystem_encoding _coding_re = re.compile(br'coding[:=]\s*([-\w.]+)') _line_re = re.compile(br'^(.*?)$', re.MULTILINE) _funcdef_re = re.compile(r'^(\s*def\s)|(.*(?<!\w)lambda(:|\s))|^(\s*@)') UTF8_COOKIE = b'\xef\xbb\xbf' system_exceptions = (SystemExit, KeyboardInterrupt) try: system_exceptions += (GeneratorExit,) except NameError: pass HEADER = u'''\ <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01 Transitional//EN" "http://www.w3.org/TR/html4/loose.dtd"> <html> <head> <title>%(title)s // Werkzeug Debugger</title> <link rel="stylesheet" href="?__debugger__=yes&cmd=resource&f=style.css" type="text/css">  <link rel="shortcut icon" href="?__debugger__=yes&cmd=resource&f=console.png"> <script src="?__debugger__=yes&cmd=resource&f=jquery.js"></script> <script src="?__debugger__=yes&cmd=resource&f=debugger.js"></script> <script type="text/javascript"> var TRACEBACK = %(traceback_id)d, CONSOLE_MODE = %(console)s, EVALEX = %(evalex)s, EVALEX_TRUSTED = %(evalex_trusted)s, SECRET = "%(secret)s"; </script> </head> <body style="background-color: #fff"> <div class="debugger"> ''' FOOTER = u'''\ <div class="footer"> Brought to you by <strong class="arthur">DON'T PANIC</strong>, your friendly Werkzeug powered traceback interpreter. </div> </div> <div class="pin-prompt"> <div class="inner"> <h3>Console Locked</h3> <p> The console is locked and needs to be unlocked by entering the PIN. You can find the PIN printed out on the standard output of your shell that runs the server. <form> <p>PIN: <input type=text name=pin size=14> <input type=submit name=btn value="Confirm Pin"> </form> </div> </div> </body> </html> ''' PAGE_HTML = HEADER + u'''\ <h1>%(exception_type)s</h1> <div class="detail"> <p class="errormsg">%(exception)s</p> </div> <h2 class="traceback">Traceback <em>(most recent call last)</em></h2> %(summary)s <div class="plain"> <form action="/?__debugger__=yes&cmd=paste" method="post"> <p> <input type="hidden" name="language" value="pytb"> This is the Copy/Paste friendly version of the traceback. <span class="pastemessage">You can also paste this traceback into a <a href="https://gist.github.com/">gist</a>: <input type="submit" value="create paste"></span> </p> <textarea cols="50" rows="10" name="code" readonly>%(plaintext)s</textarea> </form> </div> <div class="explanation"> The debugger caught an exception in your WSGI application. You can now look at the traceback which led to the error. <span class="nojavascript"> If you enable JavaScript you can also use additional features such as code execution (if the evalex feature is enabled), automatic pasting of the exceptions and much more.</span> </div> ''' + FOOTER + '''  ''' CONSOLE_HTML = HEADER + u'''\ <h1>Interactive Console</h1> <div class="explanation"> In this console you can execute Python expressions in the context of the application. The initial namespace was created by the debugger automatically. </div> <div class="console"><div class="inner">The Console requires JavaScript.</div></div> ''' + FOOTER SUMMARY_HTML = u'''\ <div class="%(classes)s"> %(title)s <ul>%(frames)s</ul> %(description)s </div> ''' FRAME_HTML = u'''\ <div class="frame" id="frame-%(id)d"> <h4>File <cite class="filename">"%(filename)s"</cite>, line <em class="line">%(lineno)s</em>, in <code class="function">%(function_name)s</code></h4> <div class="source">%(lines)s</div> </div> ''' SOURCE_LINE_HTML = u'''\ <tr class="%(classes)s"> <td class=lineno>%(lineno)s</td> <td>%(code)s</td> </tr> ''' def render_console_html(secret, evalex_trusted=True): return CONSOLE_HTML % { 'evalex': 'true', 'evalex_trusted': evalex_trusted and 'true' or 'false', 'console': 'true', 'title': 'Console', 'secret': secret, 'traceback_id': -1 } def get_current_traceback(ignore_system_exceptions=False, show_hidden_frames=False, skip=0): """Get the current exception info as `Traceback` object. Per default calling this method will reraise system exceptions such as generator exit, system exit or others. This behavior can be disabled by passing `False` to the function as first parameter. """ exc_type, exc_value, tb = sys.exc_info() if ignore_system_exceptions and exc_type in system_exceptions: raise for x in range_type(skip): if tb.tb_next is None: break tb = tb.tb_next tb = Traceback(exc_type, exc_value, tb) if not show_hidden_frames: tb.filter_hidden_frames() return tb class Line(object): """Helper for the source renderer.""" __slots__ = ('lineno', 'code', 'in_frame', 'current') def __init__(self, lineno, code): self.lineno = lineno self.code = code self.in_frame = False self.current = False def classes(self): rv = ['line'] if self.in_frame: rv.append('in-frame') if self.current: rv.append('current') return rv classes = property(classes) def render(self): return SOURCE_LINE_HTML % { 'classes': u' '.join(self.classes), 'lineno': self.lineno, 'code': escape(self.code) } class Traceback(object): """Wraps a traceback.""" def __init__(self, exc_type, exc_value, tb): self.exc_type = exc_type self.exc_value = exc_value if not isinstance(exc_type, str): exception_type = exc_type.__name__ if exc_type.__module__ not in ('__builtin__', 'exceptions'): exception_type = exc_type.__module__ + '.' + exception_type else: exception_type = exc_type self.exception_type = exception_type # we only add frames to the list that are not hidden. This follows # the the magic variables as defined by paste.exceptions.collector self.frames = [] while tb: self.frames.append(Frame(exc_type, exc_value, tb)) tb = tb.tb_next def filter_hidden_frames(self): """Remove the frames according to the paste spec.""" if not self.frames: return new_frames = [] hidden = False for frame in self.frames: hide = frame.hide if hide in ('before', 'before_and_this'): new_frames = [] hidden = False if hide == 'before_and_this': continue elif hide in ('reset', 'reset_and_this'): hidden = False if hide == 'reset_and_this': continue elif hide in ('after', 'after_and_this'): hidden = True if hide == 'after_and_this': continue elif hide or hidden: continue new_frames.append(frame) # if we only have one frame and that frame is from the codeop # module, remove it. if len(new_frames) == 1 and self.frames[0].module == 'codeop': del self.frames[:] # if the last frame is missing something went terrible wrong :( elif self.frames[-1] in new_frames: self.frames[:] = new_frames def is_syntax_error(self): """Is it a syntax error?""" return isinstance(self.exc_value, SyntaxError) is_syntax_error = property(is_syntax_error) def exception(self): """String representation of the exception.""" buf = traceback.format_exception_only(self.exc_type, self.exc_value) rv = ''.join(buf).strip() return rv.decode('utf-8', 'replace') if PY2 else rv exception = property(exception) def log(self, logfile=None): """Log the ASCII traceback into a file object.""" if logfile is None: logfile = sys.stderr tb = self.plaintext.rstrip() + u'\n' if PY2: tb = tb.encode('utf-8', 'replace') logfile.write(tb) def paste(self): """Create a paste and return the paste id.""" data = json.dumps({ 'description': 'Werkzeug Internal Server Error', 'public': False, 'files': { 'traceback.txt': { 'content': self.plaintext } } }).encode('utf-8') try: from urllib2 import urlopen except ImportError: from urllib.request import urlopen rv = urlopen('https://bit_api_mgr.github.com/gists', data=data) resp = json.loads(rv.read().decode('utf-8')) rv.close() return { 'url': resp['html_url'], 'id': resp['id'] } def render_summary(self, include_title=True): """Render the traceback for the interactive console.""" title = '' frames = [] classes = ['traceback'] if not self.frames: classes.append('noframe-traceback') if include_title: if self.is_syntax_error: title = u'Syntax Error' else: title = u'Traceback <em>(most recent call last)</em>:' for frame in self.frames: frames.append(u'<li%s>%s' % ( frame.info and u' title="%s"' % escape(frame.info) or u'', frame.render() )) if self.is_syntax_error: description_wrapper = u'<pre class=syntaxerror>%s</pre>' else: description_wrapper = u'<blockquote>%s</blockquote>' return SUMMARY_HTML % { 'classes': u' '.join(classes), 'title': title and u'<h3>%s</h3>' % title or u'', 'frames': u'\n'.join(frames), 'description': description_wrapper % escape(self.exception) } def render_full(self, evalex=False, secret=None, evalex_trusted=True): """Render the Full HTML page with the traceback info.""" exc = escape(self.exception) return PAGE_HTML % { 'evalex': evalex and 'true' or 'false', 'evalex_trusted': evalex_trusted and 'true' or 'false', 'console': 'false', 'title': exc, 'exception': exc, 'exception_type': escape(self.exception_type), 'summary': self.render_summary(include_title=False), 'plaintext': escape(self.plaintext), 'plaintext_cs': re.sub('-{2,}', '-', self.plaintext), 'traceback_id': self.id, 'secret': secret } def generate_plaintext_traceback(self): """Like the plaintext attribute but returns a generator""" yield u'Traceback (most recent call last):' for frame in self.frames: yield u' File "%s", line %s, in %s' % ( frame.filename, frame.lineno, frame.function_name ) yield u' ' + frame.current_line.strip() yield self.exception def plaintext(self): return u'\n'.join(self.generate_plaintext_traceback()) plaintext = cached_property(plaintext) id = property(lambda x: id(x)) class Frame(object): """A single frame in a traceback.""" def __init__(self, exc_type, exc_value, tb): self.lineno = tb.tb_lineno self.function_name = tb.tb_frame.f_code.co_name self.locals = tb.tb_frame.f_locals self.globals = tb.tb_frame.f_globals fn = inspect.getsourcefile(tb) or inspect.getfile(tb) if fn[-4:] in ('.pyo', '.pyc'): fn = fn[:-1] # if it's a file on the file system resolve the real filename. if os.path.isfile(fn): fn = os.path.realpath(fn) self.filename = to_unicode(fn, get_filesystem_encoding()) self.module = self.globals.get('__name__') self.loader = self.globals.get('__loader__') self.code = tb.tb_frame.f_code # support for paste's traceback extensions self.hide = self.locals.get('__traceback_hide__', False) info = self.locals.get('__traceback_info__') if info is not None: try: info = text_type(info) except UnicodeError: info = str(info).decode('utf-8', 'replace') self.info = info def render(self): """Render a single frame in a traceback.""" return FRAME_HTML % { 'id': self.id, 'filename': escape(self.filename), 'lineno': self.lineno, 'function_name': escape(self.function_name), 'lines': self.render_line_context(), } def render_line_context(self): before, current, after = self.get_context_lines() rv = [] def render_line(line, cls): line = line.expandtabs().rstrip() stripped_line = line.strip() prefix = len(line) - len(stripped_line) rv.append( '<pre class="line %s"><span class="ws">%s</span>%s</pre>' % ( cls, ' ' * prefix, escape(stripped_line) or ' ')) for line in before: render_line(line, 'before') render_line(current, 'current') for line in after: render_line(line, 'after') return '\n'.join(rv) def get_annotated_lines(self): """Helper function that returns lines with extra information.""" lines = [Line(idx + 1, x) for idx, x in enumerate(self.sourcelines)] # find function definition and mark lines if hasattr(self.code, 'co_firstlineno'): lineno = self.code.co_firstlineno - 1 while lineno > 0: if _funcdef_re.match(lines[lineno].code): break lineno -= 1 try: offset = len(inspect.getblock([x.code + '\n' for x in lines[lineno:]])) except TokenError: offset = 0 for line in lines[lineno:lineno + offset]: line.in_frame = True # mark current line try: lines[self.lineno - 1].current = True except IndexError: pass return lines def eval(self, code, mode='single'): """Evaluate code in the context of the frame.""" if isinstance(code, string_types): if PY2 and isinstance(code, unicode): # noqa code = UTF8_COOKIE + code.encode('utf-8') code = compile(code, '<interactive>', mode) return eval(code, self.globals, self.locals) @cached_property def sourcelines(self): """The sourcecode of the file as list of unicode strings.""" # get sourcecode from loader or file source = None if self.loader is not None: try: if hasattr(self.loader, 'get_source'): source = self.loader.get_source(self.module) elif hasattr(self.loader, 'get_source_by_code'): source = self.loader.get_source_by_code(self.code) except Exception: # we munch the exception so that we don't cause troubles # if the loader is broken. pass if source is None: try: f = open(to_native(self.filename, get_filesystem_encoding()), mode='rb') except IOError: return [] try: source = f.read() finally: f.close() # already unicode? return right away if isinstance(source, text_type): return source.splitlines() # yes. it should be ascii, but we don't want to reject too many # characters in the debugger if something breaks charset = 'utf-8' if source.startswith(UTF8_COOKIE): source = source[3:] else: for idx, match in enumerate(_line_re.finditer(source)): match = _coding_re.search(match.group()) if match is not None: charset = match.group(1) break if idx > 1: break # on broken cookies we fall back to utf-8 too charset = to_native(charset) try: codecs.lookup(charset) except LookupError: charset = 'utf-8' return source.decode(charset, 'replace').splitlines() def get_context_lines(self, context=5): before = self.sourcelines[self.lineno - context - 1:self.lineno - 1] past = self.sourcelines[self.lineno:self.lineno + context] return ( before, self.current_line, past, ) @property def current_line(self): try: return self.sourcelines[self.lineno - 1] except IndexError: return u'' @cached_property def console(self): return Console(self.globals, self.locals) id = property(lambda x: id(x))

[ "yc5424tl@go.minneapolis.edu" ]

yc5424tl@go.minneapolis.edu

f5e459ebbfef6862e4992d3499bdaf13c543b19f

f6568cd38c80cf34fda709372e1e9df013d8d893

/api.py

94fd7142c941d957a45e385ff7e864ff593728ab

[]

no_license

Ibaii99/UDBank_Backend

311d62795115e4142a023698e7030d5370d99f1e

6657326fe3282f5bb3ed32200ba7e2eb9489e1a1

refs/heads/master

2023-01-27T21:28:25.570498

2020-12-15T16:04:05

308,669,654

0

null

UTF-8

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false

3,059

py

from flask import Flask, Blueprint, abort, request, Response, jsonify from flask_cors import CORS, cross_origin import json from routing import api_markets, api_users import config import logging from logic.authorization import Authorization app = Flask(__name__) app.register_blueprint(api_markets.markets_blueprint, url_prefix=config.API_URL_PREFIX+"/market") app.register_blueprint(api_users.users_blueprint, url_prefix=config.API_URL_PREFIX + "/user") cors = CORS(app, resources={r"/*": {"origins": "*"}}) app.config['CORS_HEADERS'] = ['Content-Type', 'Authorization'] @app.route('/', methods=["GET"]) @cross_origin() def hello(): return "Hello World!" @app.before_request def check_api_key(): if request.method == 'OPTIONS': resp = app.make_default_options_response() headers = None if 'ACCESS_CONTROL_REQUEST_HEADERS' in request.headers: headers = request.headers['ACCESS_CONTROL_REQUEST_HEADERS'] h = resp.headers # Allow the origin which made the XHR h['Access-Control-Allow-Origin'] = request.headers['Origin'] # Allow the actual method h['Access-Control-Allow-Methods'] = request.headers['Access-Control-Request-Method'] # Allow for 10 seconds h['Access-Control-Max-Age'] = "10" # We also keep current headers if headers is not None: h['Access-Control-Allow-Headers'] = headers return resp else: logging.warning("BEFORE") # logging.warning(request.headers) api_key = request.headers.get("X-Api-Key") try: auth = request.headers.get("Authorization") except: auth = None if (api_key is not None and auth is not None): if not Authorization.authorize_user_token(request) or not Authorization.authorize_front(api_key): abort(401) else: pass elif (api_key is not None and auth is None): if not Authorization.authorize_front(api_key) and is_get_token_route(request.url_rule): abort(401) else: pass else: abort(403) @app.after_request def save_history(response): logging.warning("After") # logging.warning(response) # logging.warning(request) # logging.warning(request.headers) # logging.warning(request.cookies) # logging.warning(request.args) # logging.warning(request.url_rule) return response def is_get_token_route(route): login_route= "/api/v1/user/login" register_route= "/api/v1/user/register" if route == login_route or route == register_route: return True else: return False @app.errorhandler(403) def page_not_found(e): return jsonify(json.dumps("Forbbiden acces, invalid api-key")), 403 @app.errorhandler(401) def page_not_found(e): return jsonify(json.dumps("Incorrect username or password")), 401 if __name__ == '__main__': app.run(debug=True, host=config.HOST, port=config.PORT)

[ "ibai.guillen@opendeusto.es" ]

ibai.guillen@opendeusto.es

3042bee8e5fdb405c62cccbf457d4aed30ba0329

c094f9ca9c17dd118bdb9c9bc09655dfc0ffe54a

/decorators.py

abe3be3c6b58edc36129729d73e5ce4165301856

[]

no_license

Jfengames/POIplatform

457314bd9aa4f92d7fe25706cf7e3154d9500f1d

46a15ad0445654b1ffa0b00abefaf3c54466a876

refs/heads/master

2020-08-08T12:34:17.245359

2019-10-09T06:02:22

213,832,730

0

null

UTF-8

Python

false

339

py

# -*- coding: utf-8 -*- from functools import wraps from flask import session,redirect,url_for def login_required(func): @wraps(func) def wrapper(*args,**kwargs): if session.get('user_id'): return func(*args,**kwargs) else: return redirect(url_for('user.login')) return wrapper

[ "liujing1@cmdi.chinamobile.com" ]

liujing1@cmdi.chinamobile.com

edfbecf34931307c37d1dccefce4368309ee17b9

cef1814ad7fdbb5542a0ccd0acfc9b1d3655f131

/itchat/wechat_face/weixin.py

2cf0844ee0e1f600029ca19fce5034fcdc2f7b49

[]

no_license

qsx6003/shiyan

8c914eca4c141672cfc6369718c0fb2fe4021f01

4dc6a320bfa10c184d522ece80d282731f58700f

refs/heads/master

2020-04-06T23:05:27.852622

2019-01-02T07:18:41

157,857,699

0

null

UTF-8

Python

false

4,809

py

#!/usr/bin/python # coding: utf-8 import itchat import os import pandas as pd import matplotlib.pyplot as plot from wordcloud import WordCloud from pyecharts import Bar, Page import jieba import sys import itchat # 获取所有的群聊列表 def getRoomList(): roomslist = itchat.get_chatrooms() return roomslist #获取指定群聊的信息 def getRoomMsg(roomName): itchat.dump_login_status() myroom = itchat.search_chatrooms(name=roomName) return myroom #统计省份信息 def getProvinceCount(cityCount,countName): indexs = [] counts = [] for index in cityCount.index: indexs.append(index) counts.append(cityCount[index]) page = Page() labels = [indexs] sizes = [counts] attr = indexs v1 = counts bar = Bar(countName) bar.add("地区分布", attr, v1, is_stack=True, is_label_show=True, is_datazoom_show=True, is_random=True) page.add(bar) bar.show_config() bar.render() #制作性别统计图 def getSexCount(sexs,countName): labels = [u'男', u'女', u'未知'] sizes = [sexs['男'], sexs['女'], sexs['未知']] print(sizes) colors = ['red', 'yellow', 'blue', 'green'] explode = (0, 0, 0) patches, l_text, p_text = plot.pie(sizes, explode=explode, labels=labels, colors=colors, labeldistance=1.1, autopct='%2.0f%%', shadow=False, startangle=90, pctdistance=0.6) for t in l_text: t.set_size = 30 for t in p_text: t.set_size = 20 plot.axis('equal') plot.legend(loc='upper left', bbox_to_anchor=(-0.1, 1)) plot.rcParams['font.sans-serif'] = ['Microsoft YaHei'] plot.rcParams['axes.unicode_minus'] = False plot.title(countName) plot.grid() plot.show() #制作词云 def makeWorldCount(userName): users = [] for user in userName: users.append(user) users = ','.join(users) print(users) # font = os.path.join(os.path.dirname(__file__), "DroidSansFallbackFull.ttf") font = "./xindexingcao57.ttf" wordcloud = WordCloud(font_path=font,width=1800, height=800, min_font_size=4, max_font_size=80,margin=2).generate(users) plot.figure() plot.imshow(wordcloud, interpolation='bilinear') plot.axis("off") plot.show() #获取性别统计 def getSex(df_friends): sex = df_friends['Sex'].replace({1: '男', 2: '女', 0: '未知'}) sexCount = sex.value_counts() return sexCount #男性个性签名统计 def analyMale(df_friends): signature = df_friends[df_friends.Sex == 1]['Signature'] signature = signature.unique() signature = "".join(signature) wordlist_after_jieba = jieba.cut(signature, cut_all=True) wl_space_split = " ".join(wordlist_after_jieba) font = "./xindexingcao57.ttf" wordcloud = WordCloud(font_path=font,max_words = 200, max_font_size=50,margin=2).generate(wl_space_split) plot.figure() plot.imshow(wordcloud, interpolation='bilinear') plot.axis("off") plot.show() #女性个性签名统计 def analyFemale(df_friends): signature = df_friends[df_friends.Sex == 2]['Signature'] signature = signature.unique() signature = "".join(signature) wordlist_after_jieba = jieba.cut(signature, cut_all=True) wl_space_split = " ".join(wordlist_after_jieba) font = "./xindexingcao57.ttf" wordcloud = WordCloud(font_path=font,max_words = 200, max_font_size=50,margin=2).generate(wl_space_split) plot.figure() plot.imshow(wordcloud, interpolation='bilinear') plot.axis("off") plot.show() def main(): itchat.auto_login(hotReload=True) #自动登陆 l=getRoomList() myroom=(l[0]['NickName']) roomMsg = getRoomMsg(myroom) # print(roomMsg) #获取指定群聊的信息 print("---------------------------------------------------------") gsq = itchat.update_chatroom(roomMsg[0]['UserName'], detailedMember=True) # print(gsq) df_friends = pd.DataFrame(gsq['MemberList']) #取出其中的用户信息并转为dataframe # print(df_friends) # print(type(df_friends['NickName'])) # sexs = getSex(df_friends) #获取性别统计 # getSexCount(sexs,"群男女统计图") #制作性别统计图，第一个参数为性别统计的结果，第二个参数为该图的名称 # city = df_friends['Province'] #取出省份信息 # City_count = city.value_counts()[:15] # City_count = City_count[City_count.index != ''] # getProvinceCount(City_count,"位置统计图") #制作位置统计图，第一个参数为位置统计的结果，第二个参数为该图的名称 makeWorldCount(df_friends['NickName']) #制作词云，传入用户昵称 # makeWorldCount(signature) # analyMale(df_friends) if __name__=='__main__': main()

[ "qsx6003@qq.com" ]

qsx6003@qq.com

515ebe8f255758359ff6ad105115b0ad5912e78f

326aa922ce75b52ac68fdf9d5940e38837739b22

/linkypedia/wikipedia.py

30f2bb7fc6d085da380650784d9de13d38a9d130

[]

no_license

Web5design/linkypedia

9f7b0546b3086c4dae63a1ae4e98e1f6b93138cd

76d5ecdaa00579f3fb773c3cbf2d4f91c5513b9e

refs/heads/master

2020-12-24T11:05:56.104945

2010-11-24T07:17:22

null

0

null

UTF-8

Python

false

6,096

py

""" module for interacting with wikipedia """ import re import sys import json import time import urllib import getpass import logging import urllib2 import irclib import BeautifulSoup from web import tasks RETRIES_BETWEEN_API_ERRORS = 5 IRC_MESSAGE_PATTERN = re.compile('\[\[(.+?)\]\] (.+)? (http:.+?)? (?:\* (.+?) \*)? (?:$([+-]\d+)$)? (.+)?') class WikipediaUpdatesClient(irclib.SimpleIRCClient): """Fetch live update feed from irc://irc.wikimedia.org/en.wikipedia """ def on_error(self, connection, event): print event def on_created(self, connection, event): connection.join("#en.wikipedia") def on_pubmsg(self, connection, event): msg = self._strip_color(event.arguments()[0]) match = IRC_MESSAGE_PATTERN.search(msg) if match: # todo: add message to queue page, status, diff_url, user, bytes_changed, msg = match.groups() print "page: %s" % page print "status: %s" % status print "diff: %s" % diff_url print "user: %s" % user print "bytes: %s" % bytes_changed print "msg: %s" % msg print # ignore what look like non-articles if ':' not in page: result = tasks.get_external_links.delay(page) result.get() else: # should never happen print "NO MATCH: %s" % msg connection.close() sys.exit(-1) def _strip_color(self, msg): # should remove irc color coding return re.sub(r"(\x03|\x02)([0-9]{1,2}(,[0-9]{1,2})?)?", "", msg) def start_update_stream(username): irc = WikipediaUpdatesClient() irc.connect("irc.wikimedia.org", 6667, username) irc.start() def url_to_title(url): url = str(url) match = re.match(r'http://.+/wiki/(.+)$', url) if match: return urllib.unquote(match.group(1)).decode('utf-8') else: return None def info(title): logging.info("wikipedia lookup for page: %s " % title) q = {'action': 'query', 'prop': 'info', 'titles': title.encode('utf-8'), } return _first(_api(q)) def categories(title): logging.info("wkipedia look up for page categories: %s" % title) q = {'action': 'query', 'prop': 'categories', 'titles': title.encode('utf-8'), } try: return _first(_api(q))['categories'] except KeyError: logging.error("uhoh, unable to find categories key!") return [] def users(usernames): usernames = [u.encode('utf-8') for u in usernames] logging.info("wikipedia look up for users: %s" % usernames) q = {'action': 'query', 'list': 'users', 'ususers': '|'.join(usernames), 'usprop': 'blockinfo|groups|editcount|registration|emailable|gender', } return _api(q)['query']['users'] def extlinks(page_title, limit=100, offset=0): page_title = page_title.replace(' ', '_') q = {'action': 'query', 'prop': 'extlinks', 'titles': page_title, 'ellimit': limit, 'eloffset': offset, } links = _first(_api(q)) if links.has_key('extlinks'): # strip out just the urls from the json response links = [l[u"*"] for l in links['extlinks']] else: # no links links = [] # get more if it looks like we might not have gotten them all if len(links) == limit: links.extend(extlinks(page_title, limit, offset + limit)) return links def links(site, lang='en', page_size=500, offset=0): """ a generator that returns a source, target tuples where source is the url for a document at wikipedia and target is a url for a document at a given site """ links_url = 'http://%s.wikipedia.org/w/index.php?title=Special:LinkSearch&target=%s&limit=%s&offset=%s' wikipedia_host = 'http://%s.wikipedia.org' % lang while True: url = links_url % (lang, site, page_size, offset) html = _fetch(url) soup = BeautifulSoup.BeautifulSoup(html) found = 0 for li in soup.findAll('li'): a = li.findAll('a') if len(a) == 2: found += 1 yield wikipedia_host + a[1]['href'], a[0]['href'] if found == page_size: offset += page_size else: break def _api(params): params['format'] = 'json' url = 'http://en.wikipedia.org/w/api.php' response = _fetch(url, params) data = json.loads(response) return data def _first(data): # some queries can take a list of things but we are only sending # one at a time, and this helper just looks for the first (and only) # page in the response and returns it first_page_key = data['query']['pages'].keys()[0] return data['query']['pages'][first_page_key] def _fetch(url, params=None, retries=RETRIES_BETWEEN_API_ERRORS): if params: req = urllib2.Request(url, data=urllib.urlencode(params)) req.add_header('Content-type', 'application/x-www-form-urlencoded; charset=UTF-8') else: req = urllib2.Request(url) req.add_header('User-agent', 'linkpyediabot v0.1: http://github.com/edsu/linkypedia') try: return urllib2.urlopen(req).read() except urllib2.URLError, e: return _fetch_again(e, url, params, retries) except urllib2.HTTPError, e: return _fetch_again(e, url, params, retries) def _fetch_again(e, url, params, retries): logging.warn("caught error when talking to wikipedia: %s" % e) retries -= 1 if retries == 0: logging.info("no more tries left") raise e else: # should back off 10, 20, 30, 40, 50 seconds sleep_seconds = (retries_between_api_errors - retries) * 10 logging.info("sleeping %i seconds then trying again %i times" % (sleep_seconds, retries)) time.sleep(sleep_seconds) return _fetch(url, params, retries)

[ "ehs@pobox.com" ]

ehs@pobox.com

78177d2aa2f17f925725fc1bbed8eafa87fce33c

e7a62e4a4506a235872af71ef63d634971bb747c

/ggrpc/utils.py

85c6659978a5c24cec3ee5431f84bb990d9f9688

[]

no_license

livingbio/ggrpc

2803a0e4d54645a8f14540e9121dbdc4b65dee06

b7ba6fa7d46a283172e5fe880dbd8f7f09eec4a1

refs/heads/master

2021-05-08T06:08:27.287799

2017-10-16T05:32:16

106,585,703

0

null

UTF-8

Python

false

1,889

py

import inspect import jinja2 import json import cPickle def is_defined_method(cls): return inspect.getmembers( cls, predicate=lambda m: inspect.ismethod(m) and m.__func__ in m.im_class.__dict__.values() ) def list_public_method(cls): for method_name, _ in is_defined_method(cls): if method_name[0] == "_": continue method = getattr(cls, method_name) argspec = inspect.getargspec(method) yield method_name, argspec template = """ from ggrpc.rpc_client import RPCClient class {{cls_name}}(RPCClient): "Auto Generate SDK" {% for method, arg in methods %} {% if arg %} def {{method}}(self, {{arg}}): {% else %} def {{method}}(self): {% endif %} return self._call("{{method}}", {{arg}}) {% endfor %} """ def client_factory(kls): # TODO: add func doc in the future methods = [] for name, argspec in list_public_method(kls): args = list(argspec.args[1:]) if argspec.defaults: for k in range(len(argspec.defaults)): idx = -1 - k assert isinstance( argspec.defaults[idx], (basestring, int, float) ) if isinstance(argspec.defaults[idx], basestring): args[idx] = "%s='%s'" % (args[idx], argspec.defaults[idx]) else: args[idx] = "%s=%s" % (args[idx], argspec.defaults[idx]) if argspec.varargs: args.append("*args") if argspec.keywords: args.append("**kwargs") methods.append((name, ", ".join(args))) return jinja2.Template(template).render( cls_name=kls.__name__, methods=methods ) def get_coder(format): CODER = { "json": json, "pickle": cPickle } return CODER[format]

[ "davidchen@gliacloud.com" ]

davidchen@gliacloud.com

ffa5371a5a7cb754fdda979fa92af330672a774f

129428b4c6e4d18dffff830236d15b5507854465

/Exp1/main_exp2.py

2b3dbaa8b14d18e22a1266afd712d85579bd0291

[]

no_license

volpx/lab-2

97dae67fabe8f3bb5fb2be82b66a23419ae7cad8

c4a97a5338d62831eea45ed5c644198257a859e7

refs/heads/master

2020-04-30T23:29:30.171362

2019-04-15T14:42:57

177,145,335

0

null

UTF-8

Python

false

5,632

py

#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Thu Oct 11 09:57:32 2018 @author: volpe """ import pandas as pd import numpy as np import matplotlib.pyplot as plt from uncertainties import ufloat #array of colors to use for plots colors=["g","r","b","c"] #import my class and functions from functions import DataXY,w_mean # coverage factor k=2 #parallel and series resistances of ICE testers R_par_10V=2e5 R_par_2V=4e4 R_ser_5mA=63.479143 R_ser_500uA=588.8 #nominal and DMM resistance values R_n=4.7e3 dR_n=235 R_DMM=4596 dR_DMM=0.46 #make an array of DataFrame s with imported data fro my csv files data=[pd.read_csv("data/AmpMon10V5mA.csv"), pd.read_csv("data/AmpMon2V0.5mA.csv"), pd.read_csv("data/AmpVal10V5mA.csv"), pd.read_csv("data/AmpVal2V0.5mA.csv")] #convert in standart si units for df in data: df["mA"]*=1e-3 df.columns=["V","A"] # array of full-scale values for each data series data_fs=np.array([[10,5e-3],[2,500e-6],[10,5e-3],[2,500e-6]]) # array of resolution uncertainties data_Delta=np.array([[0.2,100e-6],[0.04,10e-6],[0.2,100e-6],[0.04,10e-6]]) # get the standard deviation for uncertainties data_sigma=data_Delta/np.sqrt(12) # make an array of DataXY classes, one for each data serie dataseries=[DataXY(data[0]["V"][0:],data[0]["A"][0:],\ data_sigma[0][0],data_sigma[0][1],\ x_label="V",y_label="A",\ name="Amperometro a Monte (FS: 10V/5mA)"),\ DataXY(data[1]["V"],data[1]["A"],\ data_sigma[1][0],data_sigma[1][1],\ x_label="V",y_label="A",\ name="Amperometro a Monte (FS: 2V/500uA)"),\ DataXY(data[2]["V"],data[2]["A"],\ data_sigma[2][0],data_sigma[2][1],\ x_label="V",y_label="A",\ name="Amperometro a Valle (FS: 10V/5mA)"),\ DataXY(data[3]["V"],data[3]["A"],\ data_sigma[3][0],data_sigma[3][1],\ x_label="V",y_label="A",\ name="Amperometro a Valle (FS: 2V/500uA)"),\ ] # get fit plot and save it dataseries[0].getFitPlot()[0].savefig("data/AmpMon10V5mA.pdf",bbox_inches="tight") dataseries[1].getFitPlot()[0].savefig("data/AmpMon2V500uA.pdf",bbox_inches="tight") dataseries[2].getFitPlot()[0].savefig("data/AmpVal10V5mA.pdf",bbox_inches="tight") dataseries[3].getFitPlot()[0].savefig("data/AmpVal2V500uA.pdf",bbox_inches="tight") # make plot with all datasets # create a figure fig_all=plt.figure() # put title fig_all.suptitle("Confronto datasets") #get new ax ax_all=fig_all.add_subplot(1,1,1) # plot in the ax the errorbar and the fit for i,data in enumerate(dataseries): ax_all.errorbar(data.x, data.y, yerr=data.dy, xerr=data.dx, fmt=colors[i]+".") ax_all.plot([0, data.x.max()], data.getModel(x=np.array([0, data.x.max()])), colors[i]+",-", label=data.name) #put grid ax_all.grid() # put axis labels ax_all.set_ylabel("A") ax_all.set_xlabel("V") # put legend on the top left ax_all.legend(loc="upper left",bbox_to_anchor=(-.01,1.01)) # format ticks with scientific notations ax_all.ticklabel_format(style="sci",scilimits=(0,0)) # save figure fig_all.savefig("data/FigAll.pdf",bbox_inches="tight") ## Summary # create two uninitialized array of size=(4,) R_x=np.empty(4) dR_x=np.empty(4) # set index i=0 # print preformatted DataXY informations dataseries[i].prettyPrint(ddof=2,dy_prop=True) # get linear regression parameters A,B,dA,dB = dataseries[i].getLinearRegressionAB() # save corresponding R_x in the R_x[] array with its uncertainty R_x[i]=1/(B - 1/R_par_10V) dR_x[i]=np.abs(-1/(B-1/R_par_10V)**2) * dB # print value and uncertainty print("Rx =",ufloat(R_x[i],dR_x[i])) i=1 dataseries[i].prettyPrint(ddof=2,dy_prop=True) A,B,dA,dB = dataseries[i].getLinearRegressionAB() R_x[i]=1/(B - 1/R_par_2V) dR_x[i]=np.abs(-1/(B-1/R_par_2V)**2) * dB print("Rx =",ufloat(R_x[i],dR_x[i]) ) i=2 dataseries[i].prettyPrint(ddof=2,dy_prop=True) A,B,dA,dB = dataseries[i].getLinearRegressionAB() R_x[i]=1/B - R_ser_5mA dR_x[i]=np.abs(1/B**2) * dB print("Rx =",ufloat(R_x[i],dR_x[i]) ) i=3 dataseries[i].prettyPrint(ddof=2,dy_prop=True) A,B,dA,dB = dataseries[i].getLinearRegressionAB() R_x[i]=1/B - R_ser_500uA dR_x[i]=np.abs(1/B**2) * dB print("Rx =",ufloat(R_x[i],dR_x[i]) ) #another blank line print() ## Weighted mean # get weighted mean R_w,dR_w=w_mean(R_x,1/dR_x**2) # print weighted mean print("Weighted mean=",ufloat(R_w,dR_w)) ## Compatibility of Rxs fig_comp=plt.figure() ax_comp=fig_comp.add_subplot(1,1,1) for j,i in enumerate([2,0,3,1]): # plot an undefinitely long vertical line ax_comp.axvline(x=R_x[i],color=colors[i],label=dataseries[i].name) # make a vertical span with width equal to k*sigma for each side ax_comp.axvspan(xmin=R_x[i]-k*dR_x[i], xmax=R_x[i]+k*dR_x[i], ymin=0.8-.2*j, ymax=1-0.2*j, color=colors[i],alpha=0.2) # also plot R_n and R_DMM in the same plot ax_comp.axvline(x=R_n,color="#464a45",label="R_n") ax_comp.axvspan(xmin=R_n-dR_n,xmax=R_n+dR_n,color="#464a45",alpha=0.2) ax_comp.axvline(x=R_DMM,color="#EEEE00",label="R_DMM") ax_comp.axvspan(xmin=R_DMM-k*dR_DMM, xmax=R_DMM+k*dR_DMM, color="#EEEE00", alpha=0.2) ax_comp.axvline(x=R_w,color="#ff8000",label="R_w") ax_comp.axvspan(xmin=R_w-k*dR_w, xmax=R_w+k*dR_w, ymin=0, ymax=0.2, color="#ff8000",alpha=0.2) ax_comp.set_xlabel(u"R [Ω]") # disable ticks on y axis ax_comp.set_yticks([]) ax_comp.legend(loc="center left",bbox_to_anchor=(1.03,.5)) fig_comp.suptitle("Comparazione Rx") fig_comp.savefig("data/fig_comp.pdf",bbox_inches="tight")

[ "filippovolpe98@gmail.com" ]

filippovolpe98@gmail.com

65dab5a6ab864efe241f5df07edfcd1772b1a062

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/jobScript.py

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[]

no_license

cosmic-byte/jenkins-seedstar

17df54fcf7c85f2c17fc71238bd7fac9c26d33cb

63b1952b9737b6d2c5624e58e680244b27c3c8a3

refs/heads/master

2020-03-17T09:50:05.950571

2018-05-15T11:05:10

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from config import DbOperations from initialScript import Initiate import time class Job: def __init__(self): self.db = DbOperations() self.init = Initiate() self.server = self.init.server def start_jobs(self): for job in self.server.get_jobs(): self.db.save(data={'name': job['name'], 'status': job['color'],'time': str(time.time())}) if __name__ == '__main__': job = Job() job.start_jobs() job.init.conn.close()

[ "gregobinna@gmail.com" ]

gregobinna@gmail.com

b75ee3f36e05409921bc8b395d47017f390f3ae1

2b21a7423f31163f0571161501477e6262a22b55

/jackdaw/nest/ws/protocol/graph/edge.py

ca9a65f1ed7b12a8cba3c7d72d998d66467c4426

[]

no_license

hartl3y94/jackdaw

e2ae9e98cb97a7f1b3c0545042b0985220316720

3876298e1568fe8d811e86668e428a5fd937cd5a

refs/heads/master

2023-04-03T06:36:04.850552

2021-03-30T20:26:43

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py

import json from jackdaw.utils.encoder import UniversalEncoder from jackdaw.nest.ws.protocol.cmdtypes import NestOpCmd class NestOpEdgeRes: def __init__(self): self.cmd = NestOpCmd.EDGERES self.token = None self.adid = None self.graphid = None self.src = None #oid! self.dst = None #oid! self.weight = 1 def to_dict(self): return self.__dict__ def to_json(self): return json.dumps(self.to_dict(), cls = UniversalEncoder) @staticmethod def from_dict(d): cmd = NestOpEdgeRes() cmd.token = d['token'] return cmd @staticmethod def from_json(jd): return NestOpEdgeRes.from_dict(json.loads(jd)) class NestOpEdgeBuffRes: def __init__(self): self.cmd = NestOpCmd.EDGEBUFFRES self.token = None self.edges = [] #NestOpEdgeRes def to_dict(self): return { 'cmd' : self.cmd.value, 'token' : self.token, 'edges' : [edge.to_dict() for edge in self.edges], } def to_json(self): return json.dumps(self.to_dict(), cls = UniversalEncoder) @staticmethod def from_dict(d): cmd = NestOpEdgeBuffRes() cmd.token = d['token'] return cmd @staticmethod def from_json(jd): return NestOpEdgeBuffRes.from_dict(json.loads(jd))

[ "info@skelsec.com" ]

info@skelsec.com

dfad1b42391031f515e48a57c8eed77457ce3aed

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/betse/lib/pil/pils.py

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[]

no_license

R-Stefano/betse-ml

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refs/heads/master

2023-05-01T01:42:14.452140

2021-05-10T09:58:14

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#!/usr/bin/env python3 # --------------------( LICENSE )-------------------- # Copyright 2014-2019 by Alexis Pietak & Cecil Curry. # See "LICENSE" for further details. ''' High-level support facilities for Pillow, the Python Image Library (PIL)-compatible fork implementing most image I/O performed by this application. ''' #FIXME: Revisit imageio when the following feature request is resolved in full: # https://github.com/imageio/imageio/issues/289 # ....................{ IMPORTS }.................... from PIL import Image from betse.util.io.log import logs from betse.util.path import pathnames from betse.util.type.decorator.decmemo import func_cached from betse.util.type.types import SetType # type_check, # ....................{ GETTERS }.................... @func_cached def get_filetypes() -> SetType: ''' Set of all image filetypes supported by the current version of Pillow. For generality, these filetypes are *not* prefixed by a ``.`` delimiter. Examples ---------- >>> from betse.lib.pil import pils >>> pils.get_filetypes() {'flc', 'bmp', 'ppm', 'webp', 'j2k', 'jpf', 'jpe', 'pcd'} ''' # Initialize Pillow if uninitialized. # # If Pillow is uninitialized, the "Image.EXTENSION" dictionary is empty. # Since the betse.util.app.meta.appmetaabc.AppMetaABC.init_libs() function # already initializes Pillow, explicitly doing so here should typically # *NOT* be necessary. Since this getter could technically be called from # global scope prior to the initialization performed by "betse.ignition" # *AND* since this initialization efficiently reduces to a noop if # unnecessary, manually initializing Pillow here is cost-free... and # cost-free is the way to be. init() # Return a set of... return set( # This filetype stripped of this prefixing "."... pathnames.undot_filetype(filetype_dotted) # For each "."-prefixed filetype supported by Pillow. for filetype_dotted in Image.EXTENSION.keys() ) # ....................{ ENUMERATIONS }.................... def init() -> None: ''' Initialize Pillow if uninitialized *or* reduce to a noop otherwise (i.e., if Pillow is already initialized). ''' # Log this initialization. logs.log_debug('Initializing Pillow...') # If Pillow is already initialized, this function internally reduces to an # efficient noop in the expected manner (e.g., by accessing a private # boolean global). Image.init()

[ "stefano.bane@gmail.com" ]

stefano.bane@gmail.com

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01d6b89601647068f782d098b09c2992cb99af9f

/key_michael.py

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[]

no_license

Michy01/AppDevAIIP

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refs/heads/master

2023-01-24T07:48:01.049655

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[ "33031915+Michy01@users.noreply.github.com" ]

33031915+Michy01@users.noreply.github.com

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/kbtju9wk5pjGYMmHF_15.py

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daniel-reich/turbo-robot

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2023-03-26T01:55:14.210264

2021-03-23T16:08:01

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""" Write a class called `Name` and create the following _attributes_ given a **first name** and **last name** (as `fname` and `lname`): * An attribute called `fullname` which returns the first and last names. * A attribute called `initials` which returns the first letters of the first and last name. Put a `.` between the two letters. Remember to allow the attributes `fname` and `lname` to be accessed individually as well. ### Examples a1 = Name("john", "SMITH") a1.fname ➞ "John" a1.lname ➞ "Smith" a1.fullname ➞ "John Smith" a1.initials ➞ "J.S" ### Notes * Make sure only the first letter of each name is capitalised. * Check the **Resources** tab for some helpful tutorials on Python classes. """ class Name: def __init__(self,fname, lname): self.fname = fname.capitalize() self.lname = lname.capitalize() self.fullname = fname.capitalize() +' '+lname.capitalize() self.initials = fname[0].capitalize()+'.'+lname[0].capitalize()

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

daniel.reich@danielreichs-MacBook-Pro.local

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/HW3/code/LucasKanadeAffine.py

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[ "ICU" ]

permissive

rainmiku/16720-19Spring-Homework

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9ebc8e178bd2cca85ada52f0cb8ea5f22b47d57e

refs/heads/master

2020-06-18T15:29:02.340995

2019-04-22T03:57:41

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import numpy as np from scipy.interpolate import RectBivariateSpline def LucasKanadeAffine(It, It1): # Input: # It: template image # It1: Current image # Output: # M: the Affine warp matrix [2x3 numpy array] # put your implementation here M = np.array([[1.0, 0.0, 0.0], [0.0, 1.0, 0.0]]) p = M.flatten() x1, y1, x2, y2 = 0, 0, It.shape[1] - 1, It.shape[0] - 1 threshold = 1e-3 dp = np.array([float("inf")] * 6) interpolated_It1 = RectBivariateSpline( x = np.array([i for i in range(int(It1.shape[0]))]), y = np.array([i for i in range(int(It1.shape[1]))]), z = It1 ) while np.sum(np.square(dp)) >= threshold: x = np.arange(x1, x2 + .5) y = np.arange(y1, y2 + .5) X = np.array([x for i in range(len(y))]) Y = np.array([y for i in range(len(x))]).T warp_X = p[0] * X + p[1] * Y + p[2] warp_Y = p[3] * X + p[4] * Y + p[5] valid_points = (warp_X >= x1) & (warp_X <= x2) & (warp_Y >= y1) & (warp_Y <= y2) X, Y = X[valid_points], Y[valid_points] warp_X, warp_Y = warp_X[valid_points], warp_Y[valid_points] warp_It1x = interpolated_It1.ev(warp_Y, warp_X) dx = interpolated_It1.ev(warp_Y, warp_X, dx = 0, dy = 1).flatten() dy = interpolated_It1.ev(warp_Y, warp_X, dx = 1, dy = 0).flatten() A = np.array([ dx * X.flatten(), dx * Y.flatten(), dx, dy * X.flatten(), dy * Y.flatten(), dy, ]).T b = (It[valid_points] - warp_It1x).flatten() dp = np.dot(np.linalg.inv(np.dot(A.T, A)), np.dot(A.T, b)) p += dp.flatten() M = np.copy(p).reshape(2, 3) M = np.vstack((M, np.array([[0, 0, 1]]))) return M

[ "liuzihua0911@gmail.com" ]

liuzihua0911@gmail.com

9c97825770db34605f07c3b83f40d56fe2a7db44

c43a9ac4356c6f1e457728f7e370ddee0ad3de73

/experiment_3alphas.py

51b4209aab9644744de38e8b547291b7e7ac507a

[]

no_license

desajm/nuclear-duck

a96846ce30c31a9146ba33a492bd8310254e327b

2d7d33037852e907f7411dd4008316355ac30592

refs/heads/master

2021-01-19T00:44:51.864922

2016-12-06T07:54:08

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DEPENDENCY_MODULE = 'duck_mc_3alphas' E_12_START = 0. E_12_STOP = 30.0 E_12_STEP = 0.1 BROJ_PONAVLJANJA = 1000000 def duck_mc_experiment(E_12, broj_ponavljanja, postav_index): """ postavke detektora na BoBo eksperimentu """ POSTAV = { 'postav_1': {'distance': [0.35875,0.35675,0.35775,0.35975], 'theta': [40.49, 20.00, 19.995, 40.095], 'phi': [0, 0, 180, 180], 'num_stripes': 16, 'detector_width': 0.05}, 'postav_2': {'distance': [0.35875,0.35675,0.35775,0.35975], 'theta': [40.49, 20.00, 30.00, 50.00], 'phi': [0, 0, 180, 180], 'num_stripes': 16, 'detector_width': 0.05}, 'postav_3': {'distance': [0.35875,0.35675,0.35775,0.35975], 'theta': [46.49, 26.00, 33.00, 53.00], 'phi': [0, 0, 180, 180], 'num_stripes': 16, 'detector_width': 0.05} } kwargs = { "E_p": 72.132, "m_p": 10., "m_t": 10., "m_X": 12., "m_E": 8., "m_C": 8., "m_D": 4., "m_F": 4., "m_G": 4., "Q_01": 16.12971, #(za vrh Q1, 19.15971 - 3.03) # Q_0 za reakciju 1 "E_prag": 7.3666, "Emin_F": [9.4, 9.7, 8.9, 8.7], #za det na 0st "Emin_G": [9.4, 9.7, 8.9, 8.7], "Emin_D": [9.4, 9.7, 8.9, 8.7], } detectors = [duck_mc_3alphas.define_detector(POSTAV, i, postav_index) for i in range(4)] try: result = duck_mc_3alphas.calculate_event_detection_E12(detectors, E_12, broj_ponavljanja, **kwargs) except: e = sys.exc_info()[0] return e return result

[ "sthagon@gmail.com" ]

sthagon@gmail.com

b2b25cf7aaeac3807cceceae1ae7569dc7dfce2e

c5e67f1c80d7fe10945c124ee3647f0eb66422f5

/rise_finding.py

bf79870bf488c38f108ec35f9d7b46b800d97f68

[]

no_license

eugeneegbe/algorithm-problems

116c0cd1f6491b7640a49bcf065cd20d2dd82ed0

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refs/heads/master

2021-01-06T12:23:47.124373

2020-02-18T14:24:57

241,324,538

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null

2020-02-18T14:24:59

2020-02-18T09:45:02

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def solution(A): ''' Finds the positions where there is a rise in an array of numbers sort of the form /\___/\___/\ solved using divide and conquer ''' middle = int(len(A)/2) peaks = [] if A[middle] <= A[ middle - 1 ]: for i in range(middle): if A[ i + 1 ] >= A[ i ]: peaks.append( i + 1 ) if A[middle + 1] >= A[ middle ]: for j in range(middle, len(A) - 1): if A[j + 1] >= A[j]: peaks.append(j + 1) else: return -1 return peaks # Example print(solution([7,2,4,3,0,7,2,20]))

[ "agboreugene@gmail.com" ]

agboreugene@gmail.com

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/test/test_metrics.py

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permissive

ccglyyn/pytorch-hrvvi-ext

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refs/heads/master

2022-04-20T13:35:07.561985

2020-04-21T10:36:36

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# import numpy as np # # from horch.detection import BBox # from horch.detection.eval import mean_average_precision # from toolz.curried import groupby # # # def test_mAP(): # detections = [ # (1, 0, [5, 67, 31, 48], .88), # (1, 0, [119, 111, 40, 67], .70), # (1, 0, [124, 9, 49, 67], .80), # (1, 1, [2, 3, 28, 29], .90), # (2, 0, [64, 111, 64, 58], .71), # (2, 0, [26, 140, 60, 47], .54), # (2, 0, [19, 18, 43, 35], .74), # (3, 0, [109, 15, 77, 39], .18), # (3, 0, [86, 63, 46, 45], .67), # (3, 0, [160, 62, 36, 53], .38), # (3, 0, [105, 131, 47, 47], .91), # (3, 0, [18, 148, 40, 44], .44), # (4, 0, [83, 28, 28, 26], .35), # (4, 0, [28, 68, 42, 67], .78), # (4, 0, [87, 89, 25, 39], .45), # (4, 0, [10, 155, 60, 26], .14), # (5, 0, [50, 38, 28, 46], .62), # (5, 0, [95, 11, 53, 28], .44), # (5, 0, [29, 131, 72, 29], .95), # (5, 0, [29, 163, 72, 29], .23), # (5, 1, [12, 100, 30, 40], .62), # (6, 0, [43, 48, 74, 38], .45), # (6, 0, [17, 155, 29, 35], .84), # (6, 0, [95, 110, 25, 42], .43), # (7, 0, [16, 20, 101, 88], .48), # (7, 0, [33, 116, 37, 49], .95), # ] # detections = [BBox( # image_id=d[0], # category_id=d[1], # bbox=d[2], # score=d[3], # format=BBox.LTWH, # ) for d in detections] # # ground_truths = [ # (1, 0, [25, 16, 38, 56]), # (1, 0, [129, 123, 41, 62]), # (1, 1, [1, 1, 30, 32]), # (2, 0, [123, 11, 43, 55]), # (2, 0, [38, 132, 59, 45]), # (3, 0, [16, 14, 35, 48]), # (3, 0, [123, 30, 49, 44]), # (3, 0, [99, 139, 47, 47]), # (4, 0, [53, 42, 40, 52]), # (4, 0, [154, 43, 31, 34]), # (5, 0, [59, 31, 44, 51]), # (5, 0, [48, 128, 34, 52]), # (5, 1, [39, 80, 34, 39]), # (6, 0, [36, 89, 52, 76]), # (6, 0, [62, 58, 44, 67]), # (7, 0, [28, 31, 55, 63]), # (7, 0, [58, 67, 50, 58]), # ] # ground_truths = [BBox( # image_id=d[0], # category_id=d[1], # bbox=d[2], # score=1.0, # format=BBox.LTWH, # ) for d in ground_truths] # # np.testing.assert_allclose( # mean_average_precision(detections, ground_truths, iou_threshold=0.295, use_07_metric=False), 0.3728433402346446) # np.testing.assert_allclose( # mean_average_precision(detections, ground_truths, iou_threshold=0.5, use_07_metric=True), 0.28787878787878785) # # image_gts = groupby(lambda x: x.image_id, ground_truths) # # image_dts = groupby(lambda x: x.image_id, detections) # # np.testing.assert_allclose( # # np.mean([ # # mean_average_precision(image_dts[i], image_gts[i], iou_threshold=0.3, use_07_metric=True) # # for i in image_gts.keys() # # ]), 0.2456867)

[ "sbl1996@126.com" ]

sbl1996@126.com

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/antispoofing.bkp/mcnns/datasets/livdetiris17_nd.py

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[]

no_license

allansp84/metafusion-multiview-learning

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2022-10-29T23:15:53.263990

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# -*- coding: utf-8 -*- import time import itertools from glob import glob from antispoofing.mcnns.datasets.dataset import Dataset from antispoofing.mcnns.utils import * class LivDetIris17_ND(Dataset): """ Interface for the LivDet Iris 2017 dataset whose evaluation protocol is already defined by the orginizers. This class uses three auxiliary .text files provided by the LivDetIris2017's organizers, in which is defined the sets for training, testing and the unknown test. """ def __init__(self, dataset_path, ground_truth_path='', permutation_path='', iris_location='', output_path='./working', file_types=('.png', '.bmp', '.jpg', '.tiff'), operation='crop', max_axis=320, ): super(LivDetIris17_ND, self).__init__(dataset_path, output_path, iris_location, file_types, operation, max_axis) self.LIV_DET_TRAIN = os.path.join(PROJECT_PATH, '../extra/LivDet-Iris-2017_splits/livdet-train.txt') self.LIV_DET_TEST = os.path.join(PROJECT_PATH, '../extra/LivDet-Iris-2017_splits/livdet-test.txt') self.LIV_DET_UNKNOWN_TEST = os.path.join(PROJECT_PATH, '../extra/LivDet-Iris-2017_splits/livdet-unknown_test.txt') self.sets = {} self.ground_truth_path = ground_truth_path self.permutation_path = permutation_path self.verbose = True def build_meta(self, inpath, filetypes): img_idx = 0 all_fnames = [] all_labels = [] all_idxs = [] train_idxs = [] test_idxs = [] unknown_test_idxs = [] hash_img_id = {} liv_det_train_data, liv_det_train_hash = read_csv_file(self.LIV_DET_TRAIN, sequenceid_col=0, delimiter=' ', remove_header=False) liv_det_test_data, liv_det_test_hash = read_csv_file(self.LIV_DET_TEST, sequenceid_col=0, delimiter=' ', remove_header=False) liv_det_unknown_test_data, liv_det_unknown_test_hash = read_csv_file(self.LIV_DET_UNKNOWN_TEST, sequenceid_col=0, delimiter=' ', remove_header=False) folders = [self.list_dirs(inpath, filetypes)] folders = sorted(list(itertools.chain.from_iterable(folders))) for i, folder in enumerate(folders): progressbar('-- folders', i, len(folders), new_line=True) fnames = [glob(os.path.join(inpath, folder, '*' + filetype)) for filetype in filetypes] fnames = sorted(list(itertools.chain.from_iterable(fnames))) for j, fname in enumerate(fnames): rel_path = os.path.relpath(fname, inpath) img_id, ext = os.path.splitext(os.path.basename(rel_path)) if img_id in liv_det_train_hash: if not (img_id in hash_img_id): hash_img_id[img_id] = img_idx train_idxs += [img_idx] all_labels += [int(liv_det_train_data[liv_det_train_hash[img_id]][1])] all_fnames += [fname] all_idxs += [img_idx] img_idx += 1 elif img_id in liv_det_test_hash: if not (img_id in hash_img_id): hash_img_id[img_id] = img_idx test_idxs += [img_idx] all_labels += [int(liv_det_test_data[liv_det_test_hash[img_id]][1])] all_fnames += [fname] all_idxs += [img_idx] img_idx += 1 elif img_id in liv_det_unknown_test_hash: if not (img_id in hash_img_id): hash_img_id[img_id] = img_idx unknown_test_idxs += [img_idx] all_labels += [int(liv_det_unknown_test_data[liv_det_unknown_test_hash[img_id]][1])] all_fnames += [fname] all_idxs += [img_idx] img_idx += 1 else: pass all_fnames = np.array(all_fnames) all_labels = np.array(all_labels) all_idxs = np.array(all_idxs) train_idxs = np.array(train_idxs) test_idxs = np.array(test_idxs) unknown_test_idxs = np.array(unknown_test_idxs) # -- check if the training and testing sets are disjoint. try: assert not np.intersect1d(all_fnames[train_idxs], all_fnames[test_idxs]).size assert not np.intersect1d(all_fnames[train_idxs], all_fnames[unknown_test_idxs]).size except AssertionError: raise Exception('The training and testing sets are mixed') all_pos_idxs = np.where(all_labels[all_idxs] == self.POS_LABEL)[0] all_neg_idxs = np.where(all_labels[all_idxs] == self.NEG_LABEL)[0] r_dict = {'all_fnames': all_fnames, 'all_labels': all_labels, 'all_idxs': all_idxs, 'all_pos_idxs': all_pos_idxs, 'all_neg_idxs': all_neg_idxs, 'train_idxs': train_idxs, 'test_idxs': {'test': test_idxs, 'unknown_test': unknown_test_idxs, 'overall_test': np.concatenate((test_idxs, unknown_test_idxs)), }, 'hash_img_id': hash_img_id, } if self.verbose: self.info(r_dict) return r_dict def protocol_eval(self, fold=0, n_fold=5, test_size=0.5, output_path=''): """ This method implement validation evaluation protocol for this dataset. Args: fold (int): This parameter is not used since this dataset already has the predefined subsets. n_fold (int): This parameter is not used since this dataset already has the predefined subsets. test_size (float): This parameter is not used since this dataset already has the predefined subsets. Returns: dict: A dictionary containing the training and testing sets. """ # -- loading the training data and its labels all_fnames = self.meta_info['all_fnames'] all_labels = self.meta_info['all_labels'] train_idxs = self.meta_info['train_idxs'] test_idxs = self.meta_info['test_idxs'] all_data = self.get_imgs(all_fnames, sequenceid_col=3) # # -- create a mosaic for the positive and negative images. # print('-- all_fnames', all_fnames) # all_pos_idxs = np.where(all_labels[test_idxs['unknown_test']] == 1)[0] # all_neg_idxs = np.where(all_labels[test_idxs['unknown_test']] == 0)[0] # create_mosaic(all_data[all_pos_idxs], n_col=10, output_fname=os.path.join(self.output_path, 'mosaic-unknown_test-pos.{}.jpeg'.format(time.time()))) # create_mosaic(all_data[all_neg_idxs], n_col=10, output_fname=os.path.join(self.output_path, 'mosaic-unknown_test-neg.{}.jpeg'.format(time.time()))) train_set = {'data': all_data[train_idxs], 'labels': all_labels[train_idxs], 'idxs': train_idxs} test_set = {} for test_id in test_idxs: if test_idxs[test_id].size: test_set[test_id] = {'data': all_data[test_idxs[test_id]], 'labels': all_labels[test_idxs[test_id]], 'idxs': test_idxs[test_id], } # self.sets = {'train_set': train_set, 'test_set': test_set} return {'train_set': train_set, 'test_set': test_set}

[ "allan.pinto@dmz.org.br" ]

allan.pinto@dmz.org.br

cbed7ed09e3a19aa08a50c98d867fe71202162b8

b00d26d47e90e0f7558e44d40d3fca075d65fb6f

/ignore_tests/java.py

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[]

no_license

Dhanavarsha/FlakyTestDetector

cbcce3ebc444e256c6570135b22fa84684c24dcc

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refs/heads/master

2020-12-02T02:43:28.379997

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import subprocess import sys import os import pretty_print def ignore_test(fully_qualified_test_name, working_dir): (package_name, class_name, test_name) = fully_qualified_test_name.rsplit('.', 2) files = _find_files(class_name, working_dir) inside_package_lambda = _create_inside_package_function(package_name) test_class_files = list(filter(inside_package_lambda, files)) assert len(test_class_files) == 1, "Expecting only 1 test-class for class-name: %r" % class_name test_class_file = test_class_files[0] with open(test_class_file) as f: lines = f.readlines() for index in range(len(lines)): if "public void {}()".format(test_name) in lines[index]: test_function_line_number = index break assert test_function_line_number != -1, "Test name not present in the file" pretty_print.success("Ignoring {} in file: {}".format(test_name, test_class_file)) lines.insert(test_function_line_number, _ignore_annotation_string(lines[test_function_line_number])) with open(test_class_file, "w") as f: f.writelines(lines) def _find_files(classname, working_dir): output = subprocess.check_output(["git", "ls-files"], cwd=working_dir).decode(sys.stdout.encoding).strip() files = output.split('\n') filepaths = list(map(lambda relative_path: os.path.join(working_dir, relative_path), files)) filtered = list(filter(lambda filepath: classname in filepath, filepaths)) return filtered def _create_inside_package_function(package_name): def inside_package_filter(filepath): with open(filepath) as f: first_line = f.readline() return "package {};".format(package_name) in first_line return inside_package_filter def _ignore_annotation_string(test_function_string): test_function_indentation = len(test_function_string) - len(test_function_string.lstrip()) string = "@Ignore\n" for i in range(test_function_indentation): string = " " + string return string

[ "dhan.varsha03@gmail.com" ]

dhan.varsha03@gmail.com

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95e0ccbb333fc08f250b67fef5e531bdd418033b

/shop/urls.py

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[]

no_license

ArtemYaremenko/ecommerce-project

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refs/heads/main

2023-02-01T19:16:29.531867

2020-12-16T17:41:51

312,169,831

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UTF-8

Python

false

802

py

from django.urls import path from . import views urlpatterns = [ path('', views.home, name='home'), path('category/<slug:category_slug>', views.home, name='products_by_category'), path('category/<slug:category_slug>/<slug:product_slug>', views.product, name='product_detail'), path('cart/', views.cart_detail, name='cart_detail'), path('cart/add/<int:product_id>/', views.add_cart, name='add_cart'), path('cart/remove/<int:product_id>/', views.cart_remove, name='cart_remove'), path('cart/remove_product/<int:product_id>/', views.cart_remove_product, name='cart_remove_product'), path('account/create/', views.sign_up_view, name='signup'), path('account/login/', views.login_view, name='login'), path('account/signout/', views.sign_out_view, name='signout'), ]

[ "Artem.Yaremenko.1992@gmail.com" ]

Artem.Yaremenko.1992@gmail.com

51e0ece99dfa331468ea3a90496479c28e5b8739

db54268ca3772d9b9563aa124814d65e80879e59

/closerEnclosingFunction.py

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[]

no_license

manjit1217/LearnPython

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refs/heads/master

2020-09-04T23:27:30.265802

2020-07-19T18:04:05

219,922,879

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UTF-8

Python

false

136

py

def print_check(msg): print('inside pri') def inside_print(): print(msg) return inside_print print_check('milan')

[ "manjit.1217@gmail.com" ]

manjit.1217@gmail.com

16cafd21c3f3ac353c3eec679a4cd317c0ae4086

e2e52d0726feb0229128aeee4831098bd28524fd

/vm_template.py

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[]

no_license

david-joy-ds/gcp-deployment-manager

84c9a8dae0eb576785652de7e53bea9acdb24718

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refs/heads/master

2021-05-27T01:24:13.070136

2020-04-08T20:59:06

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py

COMPUTE_URL_BASE = 'https://www.googleapis.com/compute/v1/' def GenerateConfig(context): """Creates the first virtual machine.""" resources = [{ 'name': 'the-first-vm', 'type': 'compute.v1.instance', 'properties': { 'zone': 'us-central1-f', 'machineType': ''.join([COMPUTE_URL_BASE, 'projects/',context.env['project'], '/zones/us-central1-f/', 'machineTypes/f1-micro']), 'disks': [{ 'deviceName': 'boot', 'type': 'PERSISTENT', 'boot': True, 'autoDelete': True, 'initializeParams': { 'sourceImage': ''.join([COMPUTE_URL_BASE, 'projects/','debian-cloud/global/','images/family/debian-9']) } }], 'networkInterfaces': [{ 'network': '$(ref.my-network.selfLink)', 'accessConfigs': [{ 'name': 'External NAT', 'type': 'ONE_TO_ONE_NAT' }] }] } }] return {'resources': resources}

[ "=" ]

=

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/virtual/bin/django-admin

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[]

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mwaa123/SIEZE

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Python

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#!/home/ruth/MY-PORTFOLIO/virtual/bin/python # -*- coding: utf-8 -*- import re import sys from django.core.management import execute_from_command_line if __name__ == '__main__': sys.argv[0] = re.sub(r'(-script\.pyw|\.exe)?$', '', sys.argv[0]) sys.exit(execute_from_command_line())

[ "ruthwanjiramugo@gmail.com" ]

ruthwanjiramugo@gmail.com

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/PyWagg/repl/repl.py

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[ "MIT" ]

permissive

HarryMills/Wagg

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Go

UTF-8

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false

278

py

from PyWagg import lexer from PyWagg import tokens prompt = ">> " def start(): while True: line = input(prompt) l = lexer.new(line) tok = l.next_token() while tok.Type != tokens.EOF: print(tok) tok = l.next_token()

[ "harry.e.mills@gmail.com" ]

harry.e.mills@gmail.com

a676310121eab17504f78d907be582d910340bb7

7ce536b3ad2194cfe17f79060165901472e494a8

/Loops.py

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[]

no_license

Andyiscool/python-programs-school

f3afa4c3e0b1218ae7cd932f019194aad744f0f3

bba58798505b3f1b9c418413c6878cfcc3c6cb1d

refs/heads/master

2020-07-31T23:00:00.928334

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py

print(list(range(10, 20))) for x in range(0, 5): print('hello %s' % x) animals = ["cats", "dogs", "birds"] for animal in animals: print('animals %s' % animal)

[ "andy.xiao@live.com" ]

andy.xiao@live.com

09baa61abb1f1710c9c5e170db65235edc2f3e43

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/solutions/1470. Shuffle the Array.py

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[]

no_license

ShrashtiSinghal/Python-Practice

b544ae1bbcd58a25a444740090745d91f424a6c6

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refs/heads/master

2022-10-20T14:24:27.426982

2020-07-07T08:28:35

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Python

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258

py

class Solution: def shuffle(self, nums: List[int], n: int) -> List[int]: length= len(nums)//2 newList=[] for i in range(length): newList.append(nums[i]) newList.append(nums[length+i]) return newList

[ "40803338+ShrashtiSinghal@users.noreply.github.com" ]

40803338+ShrashtiSinghal@users.noreply.github.com

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/.local/lib/python3.8/site-packages/astroid/__pkginfo__.py

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[]

no_license

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refs/heads/main

2023-06-27T21:27:14.493198

2021-08-07T06:58:33

393,595,359

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UTF-8

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# Copyright (c) 2006-2014 LOGILAB S.A. (Paris, FRANCE) <contact@logilab.fr> # Copyright (c) 2014-2020 Claudiu Popa <pcmanticore@gmail.com> # Copyright (c) 2014 Google, Inc. # Copyright (c) 2015-2017 Ceridwen <ceridwenv@gmail.com> # Copyright (c) 2015 Florian Bruhin <me@the-compiler.org> # Copyright (c) 2015 Radosław Ganczarek <radoslaw@ganczarek.in> # Copyright (c) 2016 Moises Lopez <moylop260@vauxoo.com> # Copyright (c) 2017 Hugo <hugovk@users.noreply.github.com> # Copyright (c) 2017 Łukasz Rogalski <rogalski.91@gmail.com> # Copyright (c) 2017 Calen Pennington <cale@edx.org> # Copyright (c) 2018 Ville Skyttä <ville.skytta@iki.fi> # Copyright (c) 2018 Ashley Whetter <ashley@awhetter.co.uk> # Copyright (c) 2018 Bryce Guinta <bryce.paul.guinta@gmail.com> # Copyright (c) 2019 Uilian Ries <uilianries@gmail.com> # Copyright (c) 2019 Thomas Hisch <t.hisch@gmail.com> # Copyright (c) 2020-2021 hippo91 <guillaume.peillex@gmail.com> # Copyright (c) 2020 David Gilman <davidgilman1@gmail.com> # Copyright (c) 2020 Konrad Weihmann <kweihmann@outlook.com> # Copyright (c) 2020 Felix Mölder <felix.moelder@uni-due.de> # Copyright (c) 2020 Michael <michael-k@users.noreply.github.com> # Copyright (c) 2021 Pierre Sassoulas <pierre.sassoulas@gmail.com> # Copyright (c) 2021 Marc Mueller <30130371+cdce8p@users.noreply.github.com> # Licensed under the LGPL: https://www.gnu.org/licenses/old-licenses/lgpl-2.1.en.html # For details: https://github.com/PyCQA/astroid/blob/master/LICENSE __version__ = "2.6.2" version = __version__

[ "talakishor47@gmail.com" ]

talakishor47@gmail.com

a421f062e0a01b4b7f3d20330a8309f8de453f8c

ba5b12e28e02ec4dfa5a512935a88dbdbad41699

/app/main/application/commands/beerupdate.py

59485d412120b03d02ff578b29df08b44598fa60

[]

no_license

tiagovbarreto/ddd_python_beer_api

eb345d2c7014a91bb383491631874788f7a994d7

669b8bf0177f0320ddc025397e06a259ac1f9405

refs/heads/main

2023-03-05T14:17:16.650590

2021-02-20T19:02:45

334,296,724

0

1

null

2021-02-08T00:22:42

2021-01-30T00:42:49

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UTF-8

Python

false

122

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from app.maindoapp.mainentities.beer import Beer class UpdateBeerCommand(): def execute(self) -> Beer: pass

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import torch from torch import optim import torch.nn.functional as F from utils import hparams as hp from utils.display import * from utils.dataset_att_guide import get_tts_datasets from utils.text.symbols import symbols from utils.paths import Paths from models.tacotron import Tacotron import argparse from utils import data_parallel_workaround import os from pathlib import Path import time import numpy as np import sys from utils.checkpoints import save_checkpoint, restore_checkpoint def np_now(x: torch.Tensor): return x.detach().cpu().numpy() def pad2d_nonzero(x, max_x, max_y): #print(x.shape, max_x, max_y) return np.pad(x, ((0, max_x - x.shape[0]), (0, max_y - x.shape[-1])), mode='constant', constant_values=(-1,)) def pad2d_zero(x, max_x, max_y): #print(x.shape, max_x, max_y) return np.pad(x, ((0, max_x - x.shape[0]), (0, max_y - x.shape[-1])), mode='constant', constant_values=(0,)) def main(): # Parse Arguments parser = argparse.ArgumentParser(description='Train Tacotron TTS') parser.add_argument('--force_train', '-f', action='store_true', help='Forces the model to train past total steps') parser.add_argument('--force_gta', '-g', action='store_true', help='Force the model to create GTA features') parser.add_argument('--force_cpu', '-c', action='store_true', help='Forces CPU-only training, even when in CUDA capable environment') parser.add_argument('--hp_file', metavar='FILE', default='hparams.py', help='The file to use for the hyperparameters') args = parser.parse_args() hp.configure(args.hp_file) # Load hparams from file paths = Paths(hp.data_path, hp.voc_model_id, hp.tts_model_id) force_train = args.force_train force_gta = args.force_gta if not args.force_cpu and torch.cuda.is_available(): device = torch.device('cuda') for session in hp.tts_schedule: _, _, _, batch_size = session if batch_size % torch.cuda.device_count() != 0: raise ValueError('`batch_size` must be evenly divisible by n_gpus!') else: device = torch.device('cpu') print('Using device:', device) # Instantiate Tacotron Model print('\nInitialising Tacotron Model...\n') model = Tacotron(embed_dims=hp.tts_embed_dims, num_chars=len(symbols), encoder_dims=hp.tts_encoder_dims, decoder_dims=hp.tts_decoder_dims, n_mels=hp.num_mels, fft_bins=hp.num_mels, postnet_dims=hp.tts_postnet_dims, encoder_K=hp.tts_encoder_K, lstm_dims=hp.tts_lstm_dims, postnet_K=hp.tts_postnet_K, num_highways=hp.tts_num_highways, dropout=hp.tts_dropout, stop_threshold=hp.tts_stop_threshold).to(device) optimizer = optim.Adam(model.parameters()) restore_checkpoint('tts', paths, model, optimizer, create_if_missing=True) if not force_gta: for i, session in enumerate(hp.tts_schedule): current_step = model.get_step() r, lr, max_step, batch_size = session training_steps = max_step - current_step # Do we need to change to the next session? if current_step >= max_step: # Are there no further sessions than the current one? if i == len(hp.tts_schedule)-1: # There are no more sessions. Check if we force training. if force_train: # Don't finish the loop - train forever training_steps = 999_999_999 else: # We have completed training. Breaking is same as continue break else: # There is a following session, go to it continue model.r = r simple_table([(f'Steps with r={r}', str(training_steps//1000) + 'k Steps'), ('Batch Size', batch_size), ('Learning Rate', lr), ('Outputs/Step (r)', model.r)]) train_set, attn_example, max_y, max_x = get_tts_datasets(paths.data, batch_size, r) #print(max_y, max_x) tts_train_loop(paths, model, optimizer, train_set, lr, training_steps, attn_example, max_y, max_x) print('Training Complete.') print('To continue training increase tts_total_steps in hparams.py or use --force_train\n') print('Creating Ground Truth Aligned Dataset...\n') train_set, attn_example,max_y, max_x = get_tts_datasets(paths.data, 8, model.r) create_gta_features(model, train_set, paths.gta) print('\n\nYou can now train WaveRNN on GTA features - use python train_wavernn.py --gta\n') def tts_train_loop(paths: Paths, model: Tacotron, optimizer, train_set, lr, train_steps, attn_example, max_y, max_x): device = next(model.parameters()).device # use same device as model parameters for g in optimizer.param_groups: g['lr'] = lr total_iters = len(train_set) epochs = train_steps // total_iters + 1 for e in range(1, epochs+1): start = time.time() running_loss = 0 # Perform 1 epoch for i, (x, m, ids, _, padded_att_guides) in enumerate(train_set, 1): x, m = x.to(device), m.to(device) # Parallelize model onto GPUS using workaround due to python bug if device.type == 'cuda' and torch.cuda.device_count() > 1: m1_hat, m2_hat, attention, r = data_parallel_workaround(model, x, m) else: m1_hat, m2_hat, attention, r = model(x, m) reduced_guides = [] att_guide_path = hp.attention_path for j,item_id in enumerate(ids): att = np.load(f'{att_guide_path}/{item_id}.npy') reduced = att[0::r] pred_attention = attention[j] n_frames = pred_attention.shape[0] n_phones = pred_attention.shape[-1] # pred_attention = torch.tensor(pred_attention) # reduced = torch.tensor(reduced) padded_guides = pad2d_nonzero(reduced, n_frames, n_phones) #padded_guides = torch.tensor(padded_guides) reduced_guides.append(padded_guides) reduced_guides = torch.tensor(reduced_guides) mask = torch.ne(reduced_guides, -1).type(torch.FloatTensor) mask = torch.tensor(mask) padded_guides = [pad2d_zero(x, n_frames, n_phones) for x in reduced_guides] padded_guides = torch.tensor(padded_guides) padded_guides = padded_guides.to(device) attention = attention.to(device) mask = mask.to(device) attention = attention*mask print("guide att shape",att.shape) print(att) print("reduced guide", padded_guides.shape) # print("attention size",n_frames, n_phones) print("mask",mask.shape) print(mask) print(padded_guides.shape, attention.shape, mask.shape) print(attention) print(padded_guides) multiply = torch.pow((attention - padded_guides),2) print(multiply) #multiply = torch.pow((pred_attention - padded_guides),2)* mask #print(multiply) attention_loss = torch.sum(multiply) print(attention_loss) mask_sum1 = torch.sum(mask) attention_loss /= mask_sum1 print(attention_loss) # batch_attention_losses.append(attention_loss) m1_loss = F.l1_loss(m1_hat, m) m2_loss = F.l1_loss(m2_hat, m) #average_att_loss = sum(batch_attention_losses)/len(batch_attention_losses) #print("attention loss", average_att_loss) #print("m losses", m1_loss, m2_loss) prev_loss = m1_loss + m2_loss print("prev loss", prev_loss) loss = m1_loss + m2_loss + attention_loss print("loss + att", loss) #exit() optimizer.zero_grad() loss.backward() if hp.tts_clip_grad_norm is not None: grad_norm = torch.nn.utils.clip_grad_norm_(model.parameters(), hp.tts_clip_grad_norm) if np.isnan(grad_norm): print('grad_norm was NaN!') optimizer.step() running_loss += loss.item() avg_loss = running_loss / i speed = i / (time.time() - start) step = model.get_step() k = step // 1000 if step % hp.tts_checkpoint_every == 0: ckpt_name = f'taco_step{k}K' save_checkpoint('tts', paths, model, optimizer, name=ckpt_name, is_silent=True) if attn_example in ids: idx = ids.index(attn_example) save_attention(np_now(attention[idx][:, :160]), paths.tts_attention/f'{step}') save_spectrogram(np_now(m2_hat[idx]), paths.tts_mel_plot/f'{step}', 600) msg = f'| Epoch: {e}/{epochs} ({i}/{total_iters}) | Loss: {avg_loss:#.4} | {speed:#.2} steps/s | Step: {k}k | ' stream(msg) # Must save latest optimizer state to ensure that resuming training # doesn't produce artifacts save_checkpoint('tts', paths, model, optimizer, is_silent=True) model.log(paths.tts_log, msg) print(' ') def create_gta_features(model: Tacotron, train_set, save_path: Path): device = next(model.parameters()).device # use same device as model parameters iters = len(train_set) for i, (x, mels, ids, mel_lens) in enumerate(train_set, 1): x, mels = x.to(device), mels.to(device) with torch.no_grad(): _, gta, _ = model(x, mels) gta = gta.cpu().numpy() for j, item_id in enumerate(ids): mel = gta[j][:, :mel_lens[j]] mel = (mel + 4) / 8 np.save(save_path/f'{item_id}.npy', mel, allow_pickle=False) bar = progbar(i, iters) msg = f'{bar} {i}/{iters} Batches ' stream(msg) if __name__ == "__main__": main()

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# parsetab.py # This file is automatically generated. Do not edit. _tabversion = '3.2' _lr_method = 'LALR' _lr_signature = '\xce\x17\x7fg\x06\xa5\x06` M\xee\xb0\\7\x98\xa0' _lr_action_items = {'LREDIRECT':([1,3,7,10,11,12,13,],[5,-7,-8,-5,5,-6,5,]),'PIPE':([1,3,7,10,12,],[6,-7,-8,-5,-6,]),'COLON':([1,3,7,10,12,],[9,-7,-8,-5,-6,]),'RREDIRECT':([1,3,7,10,11,12,13,],[8,-7,-8,-5,8,-6,8,]),'COMMAND':([0,1,3,5,6,7,8,9,10,11,12,13,],[3,7,-7,10,3,-8,12,3,-5,7,-6,7,]),'$end':([1,2,3,4,7,10,11,12,13,],[-2,0,-7,-1,-8,-5,-3,-6,-4,]),} _lr_action = { } for _k, _v in _lr_action_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_action: _lr_action[_x] = { } _lr_action[_x][_k] = _y del _lr_action_items _lr_goto_items = {'term':([0,6,9,],[1,11,13,]),'expression':([0,],[4,]),'statement':([0,],[2,]),} _lr_goto = { } for _k, _v in _lr_goto_items.items(): for _x,_y in zip(_v[0],_v[1]): if not _x in _lr_goto: _lr_goto[_x] = { } _lr_goto[_x][_k] = _y del _lr_goto_items _lr_productions = [ ("S' -> statement","S'",1,None,None,None), ('statement -> expression','statement',1,'p_statement','tools.pyc',90), ('statement -> term','statement',1,'p_statement','tools.pyc',91), ('expression -> term PIPE term','expression',3,'p_expression_pipe','tools.pyc',98), ('expression -> term COLON term','expression',3,'p_expression_colon','tools.pyc',107), ('term -> term LREDIRECT COMMAND','term',3,'p_expression_lredirect','tools.pyc',115), ('term -> term RREDIRECT COMMAND','term',3,'p_expression_rredirect','tools.pyc',119), ('term -> COMMAND','term',1,'p_expression','tools.pyc',126), ('term -> term COMMAND','term',2,'p_expression','tools.pyc',127), ]

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#!/usr/bin/python # -*- coding: utf-8 -*- class YlyPrint: __client = None def __init__(self, client): self.__client = client def index(self, machine_code, content, origin_id, idempotence= 0): """ 打印接口 :param machine_code: 机器码 :param content: 打印内容 :param origin_id: 商户系统内部订单号，要求32个字符内，只能是数字、大小写字母 :param idempotence 默认1，传入本参数，会根据origin_id进行幂等处理，2小时内相同origin_id会返回上一次的结果 :return: """ params = { 'machine_code': machine_code, 'content': content, 'origin_id': origin_id } if idempotence == 1: params['idempotence'] = idempotence return self.__client.call('print/index', params)

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#This will be snippets of useful code you find online that you can copy+paste when needed. #Emoji Package #I don't know when this will ever be helpful, but there is an Emoji package in Python. $ pip install emoji from emoji import emojize print(emojize(":thumbs_up:")) #thumbs up emoji, check notes for more. #List comprehensions #You could probably get better at these... here is an easy example for reference numbers = [1,2,3,4,5,6,7] evens = [x for x in numbers if x % 2 is 0] odds = [y for y in numbers if y not in evens] cities = ['London', 'Dublin', 'Oslo'] def visit(city): print("Welcome to "+city) for city in cities: visit(city) def split_lines(s): #split a string into pieces using a separator return s.split('\n') split_lines('50\n python\n snippets') language = "python" #reverse the order of the letters in a word reversed_language = language[::-1] print(reversed_language) def union(a,b): #find elements that exist in both lists return list(set(a + b)) union([1, 2, 3, 4, 5], [6, 2, 8, 1, 4]) def unique(list): #finds if all elements in a list are unique if len(list)==len(set(list)): print("All elements are unique") else: print("List has duplicates") unique([1,2,3,4,5]) # All elements are unique from collections import Counter #counts freq of appearance of elements list = [1, 2, 3, 2, 4, 3, 2, 3] count = Counter(list) print(count) # {2: 3, 3: 3, 1: 1, 4: 1} def most_frequent(list): #piggy-backing, finds most freq appearance of elements return max(set(list), key = list.count) numbers = [1, 2, 3, 2, 4, 3, 1, 3] most_frequent(numbers) # 3 def multiply(n): #mapping applies the function in the parens to the data element in the parens return n * n list = (1, 2, 3) result = map(multiply, list) print(list(result)) # {1, 4, 9}

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#!/usr/bin/env python # -*- coding: utf-8 -*- from runner.koan import * class AboutControlStatements(Koan): def test_if_then_else_statements(self): if True: result = 'true value' else: result = 'false value' self.assertEqual('true value', result) def test_if_then_statements(self): result = 'default value' if True: result = 'true value' self.assertEqual('true value', result) def test_while_statement(self): i = 1 result = 1 while i <= 10: result = result * i i += 1 self.assertEqual(3628800, result) def test_break_statement(self): i = 1 result = 1 while True: if i > 10: break result = result * i i += 1 self.assertEqual(3628800, result) def test_continue_statement(self): i = 0 result = [] while i < 10: i += 1 if (i % 2) == 0: continue result.append(i) self.assertEqual([1,3,5,7,9], result) def test_for_statement(self): phrase = ["fish", "and", "chips"] result = [] for item in phrase: result.append(item.upper()) self.assertEqual(["FISH","AND","CHIPS"], result) def test_for_statement_with_tuples(self): round_table = [ ("Lancelot", "Blue"), ("Galahad", "I don't know!"), ("Robin", "Blue! I mean Green!"), ("Arthur", "Is that an African Swallow or Amazonian Swallow?") ] result = [] for knight, answer in round_table: result.append("Contestant: '" + knight + \ "' Answer: '" + answer + "'") text = "Contestant: 'Robin' Answer: 'Blue! I mean Green!'" self.assertMatch(text, result[2]) self.assertNoMatch(text, result[0]) self.assertNoMatch(text, result[1]) self.assertNoMatch(text, result[3])

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import argparse from opensfm import commands import data_generation def run_command(command, args): parser = argparse.ArgumentParser() command.add_arguments(parser) parsed_args = parser.parse_args(args) command.run(parsed_args) def test_run_all(tmpdir): data = data_generation.create_berlin_test_folder(tmpdir) run_all_commands = [ commands.extract_metadata, commands.detect_features, commands.match_features, commands.create_tracks, commands.reconstruct, commands.mesh, ] for module in run_all_commands: command = module.Command() run_command(command, [data.data_path]) reconstruction = data.load_reconstruction() assert len(reconstruction[0].shots) == 3 assert len(reconstruction[0].points) > 1000

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# Generated by Django 3.1.2 on 2020-10-13 10:30 from django.conf import settings from django.db import migrations, models import django.db.models.deletion class Migration(migrations.Migration): initial = True dependencies = [ migrations.swappable_dependency(settings.AUTH_USER_MODEL), ('contenttypes', '0002_remove_content_type_name'), ] operations = [ migrations.CreateModel( name='Comment', fields=[ ('id', models.AutoField(auto_created=True, primary_key=True, serialize=False, verbose_name='ID')), ('object_id', models.PositiveIntegerField()), ('text', models.TextField()), ('comment_time', models.DateTimeField(auto_now_add=True)), ('content_type', models.ForeignKey(on_delete=django.db.models.deletion.DO_NOTHING, to='contenttypes.contenttype')), ('user', models.ForeignKey(on_delete=django.db.models.deletion.CASCADE, to=settings.AUTH_USER_MODEL)), ], ), ]

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def aliases(prefix, aliases): names = aliases for x in names: names[names.index(x)] = prefix+names[names.index(x)] return tuple(names) def arguments(message): args = message.split(" ")[1:] return args def color(): color = {'main':0x5b50fa, 'yellow':0xffbb00, 'red':0xf04747, 'green':0x43b581, 'orange':0xf26522} return color

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#!/usr/bin/env python # -*- coding: utf-8 -*- __author__ = 'mayanqiong' from datetime import datetime, time, timedelta from typing import Optional, Union import numpy as np import pandas as pd from pandas import DataFrame from tqsdk.api import TqApi from tqsdk import utils from tqsdk.datetime import _get_trading_timestamp, _get_trade_timestamp, _get_trading_day_from_timestamp, \ _datetime_to_timestamp_nano from tqsdk.rangeset import _rangeset_slice, _rangeset_head from tqsdk.tradeable import TqAccount, TqKq, TqSim def twap_table(api: TqApi, symbol: str, target_pos: int, duration: int, min_volume_each_step: int, max_volume_each_step: int, account: Optional[Union[TqAccount, TqKq, TqSim]] = None): """ 返回基于 twap 策略的计划任务时间表。下单需要配合 TargetPosScheduler 使用。 Args: api (TqApi): TqApi实例，该task依托于指定api下单/撤单 symbol (str): 拟下单的合约 symbol, 格式为交易所代码.合约代码, 例如 "SHFE.cu1801" target_pos (int): 目标持仓手数 duration (int): 算法执行的时长，以秒为单位，时长可以跨非交易时间段，但是不可以跨交易日 * 设置为 60*10, 可以是 10:10～10:15 + 10:30~10:35 min_volume_each_step (int): 调整持仓手数最小值，每步调整的持仓手数默认在最小和最大值中产生 max_volume_each_step (int): 调整持仓手数最大值，每步调整的持仓手数默认在最小和最大值中产生 account (TqAccount/TqKq/TqSim): [可选]指定发送下单指令的账户实例, 多账户模式下，该参数必须指定 Returns: pandas.DataFrame: 本函数返回一个 pandas.DataFrame 实例. 表示一份计划任务时间表。每一行表示一项目标持仓任务，包含以下列: + interval: 当前这项任务的持续时间长度，单位为秒 + target_pos: 当前这项任务的目标持仓 + price: 当前这项任务的下单价格模式，支持 PASSIVE（排队价），ACTIVE（对价），None（不下单，表示暂停一段时间） Example1:: from tqsdk import TqApi, TargetPosScheduler from tqsdk.algorithm import twap_table api = TqApi(auth="信易账户,用户密码") quote = api.get_quote("CZCE.MA109") # 设置twap任务参数 time_table = twap_table(api, "CZCE.MA109", -100, 600, 1, 5) # 目标持仓 -100 手，600s 内完成 print(time_table.to_string()) target_pos_sch = TargetPosScheduler(api, "CZCE.MA109", time_table) # 启动循环 while not target_pos_sch.is_finished(): api.wait_update() api.close() Example2:: from tqsdk import TqApi, TargetPosScheduler from tqsdk.algorithm import twap_table api = TqApi(auth="信易账户,用户密码") quote = api.get_quote("CZCE.MA109") # 设置 twap 任务参数， time_table = twap_table(api, "CZCE.MA109", -100, 600, 1, 5) # 目标持仓 -100 手，600s 内完成 # 定制化调整 time_table，例如希望第一项任务延迟 10s 再开始下单 # 可以在 time_table 的头部加一行 time_table = pandas.concat([ DataFrame([[10, 10, None]], columns=['interval', 'target_pos', 'price']), time_table ], ignore_index=True) target_pos_sch = TargetPosScheduler(api, "CZCE.MA109", time_table) while not target_pos_sch.is_finished(): api.wait_update() # 获取 target_pos_sch 实例所有的成交列表 print(target_pos_sch.trades_df) # 利用成交列表，您可以计算出策略的各种表现指标，例如： average_trade_price = sum(scheduler.trades_df['price'] * scheduler.trades_df['volume']) / sum(scheduler.trades_df['volume']) print("成交均价:", average_trade_price) api.close() """ account = api._account._check_valid(account) if account is None: raise Exception(f"多账户模式下, 需要指定账户实例 account") min_volume_each_step = int(min_volume_each_step) max_volume_each_step = int(max_volume_each_step) if max_volume_each_step <= 0 or min_volume_each_step <= 0: raise Exception("请调整参数, min_volume_each_step、max_volume_each_step 必须是大于 0 的整数。") if min_volume_each_step > max_volume_each_step: raise Exception("请调整参数, min_volume_each_step 必须小于 max_volume_each_step。") pos = api.get_position(symbol, account) target_pos = int(target_pos) delta_pos = target_pos - pos.pos volume = abs(delta_pos) # 总的下单手数 # 得到有效的手数序列和时间间隔序列 if volume < max_volume_each_step: interval_list, volume_list = [duration], [volume] else: volume_list = _gen_random_list(sum_val=volume, min_val=min_volume_each_step, max_val=max_volume_each_step) interval = int(duration / len(volume_list)) if interval < 3: raise Exception("请调整参数, 每次下单时间间隔不能小于3s, 将单次下单手数阈值调大或者增长下单时间。") min_interval = int(max(3, interval - 2)) max_interval = int(interval * 2 - max(3, interval - 2)) + 1 interval_list = _gen_random_list(sum_val=duration, min_val=min_interval, max_val=max_interval, length=len(volume_list)) time_table = DataFrame(columns=['interval', 'volume', 'price']) for index, volume in enumerate(volume_list): assert interval_list[index] >= 3 active_interval = 2 append_time_table = pd.DataFrame([ {"interval": interval_list[index] - active_interval, "volume": volume, "price": "PASSIVE"}, {"interval": active_interval, "volume": 0, "price": "ACTIVE"} ]) time_table = pd.concat([time_table, append_time_table], ignore_index=True) time_table['volume'] = time_table['volume'].mul(-1 if delta_pos < 0 else 1) time_table['target_pos'] = time_table['volume'].cumsum() time_table['target_pos'] = time_table['target_pos'].add(pos.pos) time_table.drop(columns=['volume'], inplace=True) time_table = time_table.astype({'target_pos': 'int64', 'interval': 'float64'}) return time_table def vwap_table(api: TqApi, symbol: str, target_pos: int, duration: float, account: Optional[Union[TqAccount, TqKq, TqSim]] = None): """ 返回基于 vwap 策略的计划任务时间表。下单需要配合 TargetPosScheduler 使用。调用 vwap_table 函数，根据以下逻辑生成 time_table： 1. 根据 target_pos - 当前合约的净持仓，得到总的需要调整手数 2. 请求 symbol 合约的 ``1min`` K 线 3. 采样取用最近 10 日内，以合约当前行情时间的下一分钟为起点，每日 duration / 60 根 K 线, \ 例如当前合约时间为 14:35:35，那么采样是会使用 14:36:00 开始的分钟线 K 线 4. 按日期分组，分别计算交易日内，每根 K 线成交量占总成交量的比例 5. 计算最近 10 日内相同分钟内的成交量占比的算术平均数，将第 1 步得到的总调整手数按照得到的比例分配 6. 每一分钟，前 58s 以追加价格下单，后 2s 以对价价格下单 Args: api (TqApi): TqApi实例，该task依托于指定api下单/撤单 symbol (str): 拟下单的合约 symbol, 格式为交易所代码.合约代码, 例如 "SHFE.cu2201" target_pos (int): 目标持仓手数 duration (int): 算法执行的时长，以秒为单位，必须是 60 的整数倍，时长可以跨非交易时间段，但是不可以跨交易日 * 设置为 60*10, 可以是 10:10～10:15 + 10:30~10:35 account (TqAccount/TqKq/TqSim): [可选]指定发送下单指令的账户实例, 多账户模式下，该参数必须指定 Returns: pandas.DataFrame: 本函数返回一个 pandas.DataFrame 实例. 表示一份计划任务时间表。每一行表示一项目标持仓任务，包含以下列: + interval: 当前这项任务的持续时间长度，单位为秒 + target_pos: 当前这项任务的目标持仓 + price: 当前这项任务的下单价格模式，支持 PASSIVE（排队价），ACTIVE（对价），None（不下单，表示暂停一段时间） Example1:: from tqsdk import TqApi, TargetPosScheduler from tqsdk.algorithm import vwap_table api = TqApi(auth="信易账户,用户密码") quote = api.get_quote("CZCE.MA109") # 设置 vwap 任务参数 time_table = vwap_table(api, "CZCE.MA109", -100, 600) # 目标持仓 -100 手，600s 内完成 print(time_table.to_string()) target_pos_sch = TargetPosScheduler(api, "CZCE.MA109", time_table) # 启动循环 while not target_pos_sch.is_finished(): api.wait_update() api.close() """ account = api._account._check_valid(account) if account is None: raise Exception(f"多账户模式下, 需要指定账户实例 account") TIME_CELL = 60 # 等时长下单的时间单元, 单位: 秒 HISTORY_DAY_LENGTH = 10 # 使用多少天的历史数据用来计算每个时间单元的下单手数 if duration % TIME_CELL or duration < 60: raise Exception(f"duration {duration} 参数应该为 {TIME_CELL} 的整数倍") pos = account.get_position(symbol) target_pos = int(target_pos) delta_pos = target_pos - pos.pos target_volume = abs(delta_pos) # 总的下单手数 if target_volume == 0: return DataFrame(columns=['interval', 'target_pos', 'price']) # 获取 Kline klines = api.get_kline_serial(symbol, TIME_CELL, data_length=int(10 * 60 * 60 / TIME_CELL * HISTORY_DAY_LENGTH)) klines["time"] = klines.datetime.apply(lambda x: datetime.fromtimestamp(x // 1000000000).time()) # k线时间 klines["date"] = klines.datetime.apply(lambda x: datetime.fromtimestamp(_get_trading_day_from_timestamp(x) // 1000000000).date()) # k线交易日 quote = api.get_quote(symbol) # 当前交易日完整的交易时间段 trading_timestamp = _get_trading_timestamp(quote, quote.datetime) trading_timestamp_nano_range = trading_timestamp['night'] + trading_timestamp['day'] # 当前交易日完整的交易时间段 # 当前时间行情时间 current_timestamp_nano = _get_trade_timestamp(quote.datetime, float('nan')) if not trading_timestamp_nano_range[0][0] <= current_timestamp_nano < trading_timestamp_nano_range[-1][1]: raise Exception("当前时间不在指定的交易时间段内") current_datetime = datetime.fromtimestamp(current_timestamp_nano//1000000000) # 下一分钟的开始时间 next_datetime = current_datetime.replace(second=0) + timedelta(minutes=1) start_datetime_nano = _datetime_to_timestamp_nano(next_datetime) r = _rangeset_head(_rangeset_slice(trading_timestamp_nano_range, start_datetime_nano), int(duration * 1e9)) if not (r and trading_timestamp_nano_range[0][0] <= r[-1][-1] < trading_timestamp_nano_range[-1][1]): raise Exception("指定时间段超出当前交易日") start_datetime = datetime.fromtimestamp(start_datetime_nano // 1000000000) end_datetime = datetime.fromtimestamp((r[-1][-1] - 1) // 1000000000) time_slot_start = time(start_datetime.hour, start_datetime.minute) # 计划交易时段起始时间点 time_slot_end = time(end_datetime.hour, end_datetime.minute) # 计划交易时段终点时间点 if time_slot_end > time_slot_start: # 判断是否类似 23:00:00 开始， 01:00:00 结束这样跨天的情况 klines = klines[(klines["time"] >= time_slot_start) & (klines["time"] <= time_slot_end)] else: klines = klines[(klines["time"] >= time_slot_start) | (klines["time"] <= time_slot_end)] # 获取在预设交易时间段内的所有K线, 即时间位于 time_slot_start 到 time_slot_end 之间的数据 need_date = klines['date'].drop_duplicates()[-HISTORY_DAY_LENGTH:] klines = klines[klines['date'].isin(need_date)] grouped_datetime = klines.groupby(['date', 'time'])['volume'].sum() # 计算每个交易日内的预设交易时间段内的成交量总和(level=0: 表示按第一级索引"data"来分组)后,将每根k线的成交量除以所在交易日内的总成交量,计算其所占比例 volume_percent = grouped_datetime / grouped_datetime.groupby(level=0).sum() predicted_percent = volume_percent.groupby(level=1).mean() # 将历史上相同时间单元的成交量占比使用算数平均计算出预测值 # 计算每个时间单元的成交量预测值 time_table = DataFrame(columns=['interval', 'volume', 'price']) volume_left = target_volume # 剩余手数 percent_left = 1 # 剩余百分比 for index, value in predicted_percent.items(): volume = round(volume_left * (value / percent_left)) volume_left -= volume percent_left -= value append_time_table = pd.DataFrame([ {"interval": TIME_CELL - 2, "volume": volume, "price": "PASSIVE"}, {"interval": 2, "volume": 0, "price": "ACTIVE"} ]) time_table = pd.concat([time_table, append_time_table], ignore_index=True) time_table['volume'] = time_table['volume'].mul(np.sign(delta_pos)) time_table['target_pos'] = time_table['volume'].cumsum() time_table['target_pos'] = time_table['target_pos'].add(pos.pos) time_table.drop(columns=['volume'], inplace=True) time_table = time_table.astype({'target_pos': 'int64', 'interval': 'float64'}) return time_table def _gen_random_list(sum_val: int, min_val: int, max_val: int, length: int = None): """ 生成随机列表，参数应该满足：min_val * length <= sum_val <= max_val * length :param int sum_val: 列表元素之和 :param int min_val: 列表元素最小值 :param int max_val: 列表元素最大值 :param int length: 列表长度，如果没有指定，则返回的列表长度没有指定 :return: 整型列表，满足 sum(list) = sum_val, len(list) == length, min_val < any_item(list) < max_val """ if length is None: length = sum_val * 2 // (min_val + max_val) # 先确定 ist 长度，interval 大小，再生成 volume_list 随机列表 # 例如：sum = 16 min_val = 11 max_val = 15，不满足 min_val * length <= sum_val <= max_val * length assert min_val * length <= sum_val <= max_val * length + min_val else: assert min_val * length <= sum_val <= max_val * length result_list = [min_val for _ in range(length)] if sum(result_list) == sum_val: return result_list # 全部最小值刚好满足，可以提前退出 result_rest_value = sum_val - min_val * length # 剩余可以填充的个数 result_rest_position = (max_val - min_val) * length # 剩余需要填充的位置个数 if sum_val > max_val * length: result_list.append(0) result_rest_position += min_val result_rest_list = _gen_shuffle_list(result_rest_value, result_rest_position) for i in range(len(result_list)): start = (max_val - min_val) * i end = (max_val - min_val) * (i + 1) if start < (max_val - min_val) * length else result_rest_position result_list[i] += sum(result_rest_list[start:end]) assert len(result_list) == length or len(result_list) == length + 1 assert sum(result_list) == sum_val return result_list def _gen_shuffle_list(x: int, n: int): """从 n 个位置中随机选中 x 个""" assert x <= n result_list = [1 for _ in range(x)] + [0 for _ in range(n - x)] utils.RD.shuffle(result_list) return result_list

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/Curso2 - Formacao Cientista de Dados/09_-_Graficos_e_Dashboards/03_-_Dispersao.py

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import pandas as pd import matplotlib.pyplot as plt import seaborn as sns base = pd.read_csv('trees.csv') plt.scatter(base.Girth, base.Volume, color = 'blue', facecolors = 'none', marker = '^') plt.xlabel('Volume') plt.ylabel('Circunferência') plt.title('Árvores') plt.plot(base.Girth, base.Volume) sns.regplot(base.Girth, base.Volume, data = base, x_jitter = 0.3, fit_reg = True)

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/websites/websites/celery.py

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wieczorek1990/websites

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import os from celery import Celery os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'websites.settings') app = Celery('websites') app.config_from_object('django.conf:settings', namespace='CELERY') app.autodiscover_tasks() @app.task(bind=True) def debug_task(self): print('Request: {0!r}'.format(self.request))

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mathankrish/Python-Programs

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array_size = int(input()) x = [int(input()) for i in range(array_size)] print(x[::-1])

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aksnzhy/dgl-benchmark

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""" Graph Attention Networks in DGL using SPMV optimization. Multiple heads are also batched together for faster training. Compared with the original paper, this code does not implement early stopping. References ---------- Paper: https://arxiv.org/abs/1710.10903 Author's code: https://github.com/PetarV-/GAT Pytorch implementation: https://github.com/Diego999/pyGAT """ import argparse import time import torch import torch.nn.functional as F from dgl import DGLGraph from dgl.data import register_data_args, load_data from gat import GAT def accuracy(logits, labels): _, indices = torch.max(logits, dim=1) correct = torch.sum(indices == labels) return correct.item() * 1.0 / len(labels) def evaluate(model, features, labels, mask): model.eval() with torch.no_grad(): logits = model(features) logits = logits[mask] labels = labels[mask] return accuracy(logits, labels) def main(args): # load and preprocess dataset data = load_data(args) features = torch.FloatTensor(data.features) labels = torch.LongTensor(data.labels) train_mask = torch.ByteTensor(data.train_mask) val_mask = torch.ByteTensor(data.val_mask) test_mask = torch.ByteTensor(data.test_mask) num_feats = features.shape[1] n_classes = data.num_labels n_edges = data.graph.number_of_edges() print("""----Data statistics------' #Edges %d #Classes %d #Train samples %d #Val samples %d #Test samples %d""" % (n_edges, n_classes, train_mask.sum().item(), val_mask.sum().item(), test_mask.sum().item())) if args.gpu < 0: cuda = False else: cuda = True torch.cuda.set_device(args.gpu) features = features.cuda() labels = labels.cuda() train_mask = train_mask.cuda() val_mask = val_mask.cuda() test_mask = test_mask.cuda() g = data.graph # add self loop g.remove_edges_from(g.selfloop_edges()) g = DGLGraph(g) g.add_edges(g.nodes(), g.nodes()) n_edges = g.number_of_edges() # create model heads = ([args.num_heads] * args.num_layers) + [args.num_out_heads] model = GAT(g, args.num_layers, num_feats, args.num_hidden, n_classes, heads, F.elu, args.in_drop, args.attn_drop, args.alpha, args.residual) print(model) if cuda: model.cuda() loss_fcn = torch.nn.CrossEntropyLoss() # use optimizer optimizer = torch.optim.Adam(model.parameters(), lr=args.lr, weight_decay=args.weight_decay) # initialize graph start = time.time() for epoch in range(args.epochs + 1): model.train() # forward logits = model(features) loss = loss_fcn(logits[train_mask], labels[train_mask]) optimizer.zero_grad() loss.backward() optimizer.step() if epoch == 1: # skip for epoch for warm up if cuda: torch.cuda.synchronize() start = time.time() if cuda: torch.cuda.synchronize() end = time.time() acc = evaluate(model, features, labels, test_mask) print("Accuracy: {:.4f}\n{:.4f}".format(acc, end - start)) if __name__ == '__main__': parser = argparse.ArgumentParser(description='GAT') register_data_args(parser) parser.add_argument("--gpu", type=int, default=-1, help="which GPU to use. Set -1 to use CPU.") parser.add_argument("--epochs", type=int, default=200, help="number of training epochs") parser.add_argument("--num-heads", type=int, default=8, help="number of hidden attention heads") parser.add_argument("--num-out-heads", type=int, default=1, help="number of output attention heads") parser.add_argument("--num-layers", type=int, default=1, help="number of hidden layers") parser.add_argument("--num-hidden", type=int, default=8, help="number of hidden units") parser.add_argument("--residual", action="store_true", default=False, help="use residual connection") parser.add_argument("--in-drop", type=float, default=.6, help="input feature dropout") parser.add_argument("--attn-drop", type=float, default=.6, help="attention dropout") parser.add_argument("--lr", type=float, default=0.005, help="learning rate") parser.add_argument('--weight-decay', type=float, default=5e-4, help="weight decay") parser.add_argument('--alpha', type=float, default=0.2, help="the negative slop of leaky relu") parser.add_argument('--fastmode', action="store_true", default=False, help="skip re-evaluate the validation set") args = parser.parse_args() print(args) main(args)

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from django.shortcuts import render, get_object_or_404 from django.http import HttpResponse, HttpResponseRedirect from django.views import generic from django.contrib.auth.mixins import LoginRequiredMixin from django.urls import reverse, reverse_lazy from rest_framework import viewsets from .serializers import LabelSerializer from .models import Label class LabelsList(LoginRequiredMixin, generic.ListView): template_name = "labels/labels.html" context_object_name = "label_list" def get_queryset(self): return Label.objects.all().filter(user = self.request.user.id) class CreateLabel(LoginRequiredMixin, generic.CreateView): template_name = 'labels/create_label.html' model = Label fields = ['name', 'color', 'project'] def form_valid(self, form): label = form.save(commit=False) label.user = self.request.user label.save() return HttpResponseRedirect(reverse('labels:labels')) class LabelDetail(LoginRequiredMixin, generic.DetailView): template_name = 'labels/label.html' model = Label def get_queryset(self): return Label.objects.all().filter(user = self.request.user.id) class UpdateLabel(LoginRequiredMixin, generic.UpdateView): template_name = 'labels/update_label.html' model = Label fields = ['name', 'color', 'project'] def get_queryset(self): return Label.objects.all().filter(user = self.request.user.id) def form_valid(self, form): label = form.save(commit=False) label.user = self.request.user label.save() return HttpResponseRedirect(reverse('labels:label', kwargs={'pk': self.kwargs['pk']})) class DeleteLabel(LoginRequiredMixin, generic.DeleteView): model = Label success_url = reverse_lazy('labels:labels') def get_queryset(self): return Label.objects.all().filter(user = self.request.user.id) ####################### # API # ####################### class LabelViewSet(viewsets.ModelViewSet): queryset = Label.objects.all() serializer_class = LabelSerializer def get_queryset(self, *args, **kwargs): if self.request.user.is_superuser: return Label.objects.all() return Label.objects.all().filter(id = self.request.user.id)

[ "anthony.vuillemin@outlook.fr" ]

anthony.vuillemin@outlook.fr

77b7efea836ff42189f54a65ef3b5fa7ab59212b

184ceaea8f1c2c398ceb75fe367709d9d0aea1a3

/main.py

956bee276935d265b9419f03f3e3074c4f70b0d9

[]

no_license

guojt1017/pythonProject4

fe32426fb199cfcf128be086c9d5251772453f92

ca4d8fc24f3521b22a1ac0dd8ebf7f9f8e9ba004

refs/heads/master

2022-11-28T16:41:26.806064

2020-08-12T10:48:37

286,988,222

0

null

UTF-8

Python

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295

py

# This is a sample Python script. # Press Shift+F10 to execute it or replace it with your code. # Press Double Shift to search everywhere for classes, files, tool windows, actions, and settings. if __name__ == '__main__': import numpy as np a=[1,2,3,4] b=np.array(a) print(b)

[ "guojt1997@sina.com" ]

guojt1997@sina.com