content stringlengths 5 1.05M |
|---|
import ipaddress
IPV4_NETMASKS = [int(ipaddress.ip_network(f"0.0.0.0/{i}").netmask) for i in range(32, -1, -1)]
IPV6_NETMASKS = [int(ipaddress.ip_network(f"::/{i}").netmask) for i in range(128, -1, -1)]
NETMASKS_BY_KEY_TYPE = {"ipv4": IPV4_NETMASKS, "ipv6": IPV6_NETMASKS}
def item_to_string(item):
try:
... |
from random import randint
if __name__ == '__main__':
upper = 100
lower = 1
ans = randint(1, upper)
cont = 0
print('_____________________終極密碼_____________________')
print('從0 ~ 100中猜一個數字，看你要猜幾次才能猜中。')
while True:
cont += 1
print('_____________________Round ' + str(cont) + '... |
#
# Pyserini: Python interface to the Anserini IR toolkit built on Lucene
#
# 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... |
from __future__ import print_function, absolute_import
import sys
import os
# Set a default for HSAILBIN if it is not defined.
# This is only used for cmdline HLC
os.environ['HSAILBIN'] = os.environ.get('HSAILBIN', '/opt/amd/bin')
# The default location of the HSAIL builtins library
DEFAULT_BUILTIN_PATH = os.path.jo... |
from django.db import models
from django.utils.translation import ugettext_lazy as _
from django.contrib import admin
ATTRIBUTE_CHOICES = (
('name','name'),
('http-equiv','http-equiv'),
)
class MetatagType(models.Model):
#metatag attribute list
attribute = models.CharField(_('attribute'),max_length=... |
from __future__ import absolute_import
from __future__ import with_statement
import sys
import types
from contextlib import contextmanager
from mock import Mock, patch
from celery import states
from celery.backends.cache import CacheBackend, DummyClient
from celery.exceptions import ImproperlyConfigured
from celery... |
#
# PySNMP MIB module FLOW-METER-MIB (http://snmplabs.com/pysmi)
# ASN.1 source file:///Users/davwang4/Dev/mibs.snmplabs.com/asn1/FLOW-METER-MIB
# Produced by pysmi-0.3.4 at Mon Apr 29 19:00:16 2019
# On host DAVWANG4-M-1475 platform Darwin version 18.5.0 by user davwang4
# Using Python version 3.7.3 (default, Mar 27 2... |
"""Utility entry point for analyzing one or more samples
storing results on disk or printing to terminal"""
import argparse
import json
import os
import tqdm
from editops import Alignment
# TODO: support saliency weights from a file/string
# TODO: support m to n order gram checking
if __name__ == '__main__':
desc... |
import unittest
from .solver import solve_simple_wires
class TestSimpleWireSolver(unittest.TestCase):
def test_ThreeWires(self):
input=['yellow', 'yellow', 'black']
self.assertEqual(solve_simple_wires(input, True), 'Cut the second wire')
input=['yellow','red','white']
self.assertEqu... |
# -*- coding: utf-8 -*-
"""
Created on Fri Apr 17 11:31:59 2020
@author: Liam Cornu
"""
# Import des progiciels nécessaires
import spotipy
import random
import redis
import os
import pytz
import datetime
import time
from creds import username, client_id, client_secret, uri, playlistid
# Pseudo du co... |
# file: runme.py
# Throw a lot of exceptions
import example
t = example.Test()
try:
t.unknown()
except RuntimeError,e:
print "incomplete type", e.args[0]
try:
t.simple()
except RuntimeError,e:
print e.args[0]
try:
t.message()
except RuntimeError,e:
print e.args[0]
try:
t.... |
import torch
import numpy as np
from clean_reverse import ReversibleModel
from audio_midi_dataset import get_dataset_individually, Spec2MidiDataset, SqueezingDataset
from torch.utils.data.dataloader import DataLoader
from torch.utils.data.sampler import SequentialSampler
def get_data_loaders(direction,
... |
from __future__ import unicode_literals
from unittest import TestCase
from wtforms.ext.i18n.utils import get_translations
class I18NTest(TestCase):
def test_failure(self):
self.assertRaises(IOError, get_translations, [])
def test_us_translation(self):
translations = get_translations(['en_US']... |
#desafio 55: maior e menor da sequência usando lista []
pessoas = [] #lista vazia
for c in range(1, 6):
peso = float(input(f'Peso da {c}ª pessoa: '))
pessoas = pessoas + [peso] #lista += [peso] #add os valores de peso na lista
print('><'*15)
print(f'\33[33m O Maior peso lido foi: {max(pessoas)}') #máximo va... |
from aiohttp import web
app = web.Application()
async def index(request):
res = {"key": "value", "my": "data"}
return web.json_response(res)
app.router.add_get('/', index)
if __name__ == '__main__':
web.run_app(app, host='0.0.0.0', port=8888) |
# ######################################################################
# Copyright (c) 2014, Brookhaven Science Associates, Brookhaven #
# National Laboratory. All rights reserved. #
# #
# Redistribution and use in ... |
#!/usr/bin/env python3
import sys
import dateutil.parser
from rofi import Rofi
from taskw import TaskWarrior
class RofiWarrior:
def __init__(self):
self.rofi = Rofi()
self.taskw = TaskWarrior()
self.keybinds = {
"key1": ('Alt+t','list todo'),
"key2": ('Al... |
import commonVar as common
import os
import configparser
# reading configuratiion file(s)
def readConfigFile():
config=configparser.ConfigParser()
# to chose an INI file in the current folder
filesHere=os.listdir(common.project+"/")
selected=[]
for i in range(len(filesHere)):
if filesHere[... |
#!/scratch_net/nudel/esandstroem/venvs/tsdf_fusion_env/bin/python
import os
app_path = '/scratch_net/nudel/esandstroem/venvs/tsdf_fusion_env/bin'
os.environ["PATH"] = app_path + os.pathsep + os.environ["PATH"]
from TSDFHandle import *
import numpy as np
import cv2
from utils import extract_mesh_marching_cubes
from vis... |
# -*- coding: utf-8 -*-
from contextlib import contextmanager
from collections import namedtuple
from threading import Thread
import datetime
import time
import csv
import io
import json
from .. import ext
from .. import compat
from ..logging import get_logger
from ..errors import *
from ..query import Drilldown
__a... |
#-*- coding: utf-8 -*-
import os, struct, numpy
dB_MIN = -80.
PWI_THS = 60.
PW_MIN = PWI_THS * (10.** (dB_MIN / 20.))
class SpectrumBase(object):
'''Base type of spectrums'''
def __init__(self, audio):
self.audio = audio
def walk(self, win, step, start, end, join_channels):
'''Generato... |
from __future__ import print_function
import torch
from torch.utils import data
DEBUG = False
import numpy as np
import sys
import random
import torchvision.transforms as transforms
from PIL import Image
import torchvision.transforms.functional as TF
import cv2
import os
# this script is the dataloader for Carla
class... |
"""Simulation box utilities
"""
import numpy as np
import math
def pbc_place_inside(box: np.ndarray, r_out: np.ndarray) -> np.ndarray:
"""Places point inside simulation box applying periodic boundary condition.
:param box Simulation box.
:param r_out Point possibly outside box.
:return r_in Point ins... |
"""
Simple PERT model in cpmpy.
From Pascal van Hentenryck
'Scheduling and Packing In the Constraint Language cc(FD)', page 7f
http://citeseer.ist.psu.edu/300151.html
Model created by Hakan Kjellerstrand, hakank@hakank.com
See also my cpmpy page: http://www.hakank.org/cpmpy/
"""
import sys
import numpy as np
from c... |
"""
A simple example of NAT performance testing.
It will generate multiple short TCP sessions for a configured duration.
"""
from __future__ import print_function
from byteblower.byteblowerll import byteblower
from byteblower.byteblowerll.byteblower import HTTPMultiClientStatus_Finished
import time
# Minim... |
import time
import datetime
import pytz
import argparse
import numpy as np
import torch
import matplotlib.pyplot as plt
import torch.nn as nn
import torch.nn.functional as F
import os
from PIL import Image
import torchvision.utils as vutils
from model.net import MonocularDepthModel
from model.loss import LossNetwo... |
from __future__ import division, absolute_import
try:
from stsci.image import *
except ImportError:
try:
from scipy.stsci.image import *
except ImportError:
msg = \
"""The image package is not installed
It can be downloaded by checking out the latest source from
http://svn.scipy.org/svn/sc... |
import numpy as np
import pandas as pd
import theano
import theano.tensor as T
import gc
import time
from theano_utils import floatX
from ops import euclidean, cosine
from sklearn import metrics
from sklearn.linear_model import LogisticRegression as LR
def cv_reg_lr(trX, trY, vaX, vaY, Cs=[0.01, 0.05, 0.1, 0.5, 1., ... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import sys
from pathlib import Path
import qlib
import pandas as pd
from qlib.config import REG_CN
from qlib.contrib.model.gbdt import LGBModel
from qlib.contrib.estimator.handler import QLibDataHandlerClose
from qlib.contrib.strategy.strategy... |
from twilio.rest.resources.base import InstanceResource, ListResource
class Key(InstanceResource):
"""
A key resource.
See https://www.twilio.com/docs/api/rest-keys
.. attribute:: sid
The unique ID for this key.
.. attribute:: friendly_name
A human-readable description of this ... |
from __future__ import annotations
import cv2 as cv
import numpy as np
class ImageProcessing:
def __init__(self, img: np.ndarray):
self.img = img
self.gray = cv.cvtColor(img, cv.COLOR_BGR2GRAY)
th, self.threshed = cv.threshold(self.gray, 127, 255, cv.THRESH_BINARY_INV | cv.THRES... |
import sys
import os
import numpy as np
import time
import datetime
import feature_extraction_scripts.organize_speech_data as orgdata
import feature_extraction_scripts.feature_extraction_functions as featfun
from feature_extraction_scripts.errors import FeatureExtractionFail
#to keep saved files unique
#include their... |
import os
from unittest import TestCase
from hypergol.base_data import BaseData
from hypergol.dataset import RepoData
from hypergol.dataset_factory import DatasetFactory
class DataClass1(BaseData):
def __init__(self, id_: int, value1: int):
self.id_ = id_
self.value1 = value1
def get_id(sel... |
from events.EventType import EventType
from sprite.Tile import Tile, TileState
class TileCoveredByObstacle:
type = EventType.TILE_COVERED_BY_OBSTACLE
def __init__(self, tile: Tile):
self.tile = tile
self.tile.set_state(TileState.COVERED_BY_OBSTACLE)
|
# lookup_test.py
# Author: Thomas MINIER - MIT License 2017-2018
from http_server.server import sage_app
from rdflib import Graph
app = sage_app('tests/data/test_config.yaml')
client = app.test_client()
def test_entity_lookup():
ref_graph = Graph()
ref_graph.parse("tests/entity/data/city0.ttl", format="ttl")... |
import matplotlib.pyplot as plt
from matplotlib.backends.backend_pdf import PdfPages
from ccarl.glycan_graph_methods import generate_digraph_from_glycan_string
from ccarl.glycan_plotting import draw_glycan_diagram
def render_features_pdf(model, pdfname):
'''Renders features in a PDF document, with one feature p... |
# While using this program you need to " TURN ON " the less secure app access setting in the sender mail.
# Manage your account -> Security -> Less sure app acces -> TURN ON
import smtplib
import stdiomask
def mail():
sender='Example_mail' # Sender mail
receivers = 'Example_mail' # Receiver ma... |
def write(filename, content):
with open(filename, 'w') as file_object:
file_object.write(content)
def appendWrite(filename, content):
with open(filename, 'a') as file_object:
file_object.write(content)
|
import torch
import torch.nn.functional as F
import torch.nn as nn
from .. import conv3x3x3
from ..classification.myronenko import MyronenkoEncoder, MyronenkoLayer, MyronenkoResidualBlock
from ..classification.decoder import MirroredDecoder
from ..autoencoder.variational import ConvolutionalAutoEncoder
class UNetEnc... |
import asyncio
from asyncua import Client
URL = 'opc.tcp://localhost:4840/freeopcua/server/'
async def print_node(node, parent_node=None, path=''):
children = await node.get_children()
if not children:
val = None
try:
val = await node.read_value()
except Exception:
... |
#!/usr/bin/python3
"""Lists total passenger capacities by type of transport and count of transport
type distinct models given a path to a txt file with data."""
import ijson
import os
from typing import Generator, List, Tuple
def main(data_file_path: str) -> None:
"""Requires the full path of the file with JSON... |
import pygame
from .constants import ROWS, COLS, BLUE, WHITE, GREEN, RED, RADIUS
from .drawing_transition_matrix import x_cord, y_cord
from .pegs import Peg
from .start_board import start_board
class BoardClass:
def __init__(self):
self.board = []
self.red_ingoal = self.green_ingoal = 0
se... |
import os # isort: skip
from time import time
import cv2
import numpy as np
import torch
import matplotlib.pyplot as plt
from tqdm import tqdm
from torch.utils.data import DataLoader
import segmentation_models_pytorch as smp
from utils import configuration
from utils.dataset import SegmDataset
from utils.build_mo... |
from asyncio import futures
from concurrent.futures import ThreadPoolExecutor
from slim.utils import get_ioloop
thread_executor = ThreadPoolExecutor(max_workers=4)
def run_in_thread(fn, *args, **kwargs):
return futures.wrap_future(
thread_executor.submit(fn, *args, **kwargs), loop=get_ioloop()
)
|
from .StructBlockWithStyle import StructBlockWithStyle
from wagtail.wagtailcore import blocks
from common.blocks import LANGUAGE_CHOICES
class CodeBlock(StructBlockWithStyle):
language = blocks.ChoiceBlock(choices=LANGUAGE_CHOICES, default="python")
codes = blocks.TextBlock()
class Meta:
# form_... |
from django.contrib.auth.models import User
from .models import Question, Answer
from rest_framework import serializers
class UserSerializer(serializers.HyperlinkedModelSerializer):
class Meta:
model = User
fields = ["url", "username", "email"]
class AnswerSerializer(serializers.ModelSerializer)... |
#coding:utf-8
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
setup(
name='csdncommenter',
version='0.0.6',
description='CSDN 已下载资源自动批量评论脚本',
long_description=open('README.md').read(),
url='https://github.com/mzlogin/csdncommenter',
author='Zhuang ... |
import numpy as np
def get_worldcoord_from_imagecoord(image_coord, intrinsic_mat, extrinsic_mat):
project_mat = intrinsic_mat @ extrinsic_mat
project_mat = np.linalg.inv(np.delete(project_mat, 2, 1))
image_coord = np.concatenate([image_coord, np.ones([1, image_coord.shape[1]])], axis=0)
world_coord = ... |
class Car():
def needsFule():
pass
def getEngineTemperature():
pass
def driveTo(dest):
pass |
__author__ = 'Ben, Ryan'
# -*- coding: utf-8 -*-
import numpy as np
import time
import math
from scipy import stats
from matplotlib import pylab as plt
import stockrollover
def time_stamp(t):
"""Prints the difference between the parameter and current time.
This is useful for timing program execution if times... |
"""Functions that help us work with files and folders.
"""
import logging
import os
from qmk.errors import NoSuchKeyboardError
def keymap(keyboard):
"""Locate the correct directory for storing a keymap.
Args:
keyboard
The name of the keyboard. Example: clueboard/66/rev3
"""
for d... |
import pandas as pd
chunk_size = 10 ** 4
dimension_vectors = [50, 100, 200, 300]
d = dimension_vectors[3]
csv_reader = pd.read_csv("../../txt/glove.6B."+str(d)+"d.txt", \
sep=" ", \
engine="python", \
chunksize=chunk_size, \
... |
# import the necessary packages
#from skimage.measure import structural_similarity as ssim
import matplotlib.pyplot as plt
import numpy as np
import cv2
def mse(imageA, imageB):
# the 'Mean Squared Error' between the two images is the
# sum of the squared difference between the two images;
# NOTE: the two ... |
# This Source Code Form is subject to the terms of the Mozilla Public
# License, v. 2.0. If a copy of the MPL was not distributed with this
# file, You can obtain one at http://mozilla.org/MPL/2.0/.
import pytest
from pages.desktop.knowledge_base_new_article import KnowledgeBaseNewArticle
from pages.desktop.questions... |
from builtins import object
import factory
from bluebottle.statistics.models import Statistic
class StatisticFactory(factory.DjangoModelFactory):
class Meta(object):
model = Statistic
type = 'manual'
title = factory.Sequence(lambda n: 'Metric {0}'.format(n))
value = None
sequence = facto... |
from __future__ import absolute_import
import theano
import theano.tensor as T
import types
def softmax(x):
return T.nnet.softmax(x)
def time_distributed_softmax(x):
xshape = x.shape
X = x.reshape((xshape[0] * xshape[1], xshape[2]))
return T.nnet.softmax(X).reshape(xshape)
def softplus(x):
return... |
#!/usr/bin/env python
#
# Copyright 2013-2019 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
"""Maintainer review action.
This action checks which packages have changed in a PR, and adds the... |
from inspect import signature
from collections import namedtuple
import time
import torch
from torch import nn
import numpy as np
import torchvision
import torch
import torch.cuda
import torch.nn as nn
import torch.distributed as dist
import torch.optim
from torch.utils.data import DataLoader
from utils import *
# N... |
import numpy as np
import scipy.signal as sp
def filter_boundary_normal(hrfparam, X):
"""
This function attempts to optimize costly operations in the original code. 'Normal' version.
:param hrfparam: HRF filter parameters
:param X: Matrix of time series
:return: filtered time series
"""
... |
# Generated by Django 2.2.6 on 2019-12-05 13:48
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('profiles', '0023_auto_20191203_0029'),
('Clubsite', '0001_initial'),
]
operations = [
migrations.Al... |
# -*- coding: utf-8 -*-
from .binary_cross_entropy import BinaryCrossEntropyCriterion
from .cross_entropy import CrossEntropyCriterion
from .kd_label_smoothed_cross_entropy_loss import KDLabelSmoothedCrossEntropyCriterion
from .label_smoothed_cross_entropy import LabelSmoothedCrossEntropyCriterion
|
from pywire import *
def increment(x):
return x+1
clock_counter = Signal(26)
clock_counter.drive(increment, clock_counter)
def get_top_bit(x):
if x > (2**25):
return True
else:
return False
flipping_bit = Signal(1, signed=None)
flipping_bit.drive(get_top_bit, clock_counter)
def ide... |
# PuLP : Python LP Modeler
# Version 1.4.2
# Copyright (c) 2002-2005, Jean-Sebastien Roy (js@jeannot.org)
# Modifications Copyright (c) 2007- Stuart Anthony Mitchell (s.mitchell@auckland.ac.nz)
# $Id:solvers.py 1791 2008-04-23 22:54:34Z smit023 $
# Permission is hereby granted, free of charge, to any person obtaining... |
"""
The PyTorch-based MistNet algorithm, used by both the client and the server.
Reference:
P. Wang, et al. "MistNet: Towards Private Neural Network Training with Local
Differential Privacy," found in docs/papers.
"""
import logging
import time
import numpy as np
import torch
from plato.config import Config
from pl... |
from django.shortcuts import render
from .models import PhoneBook
from django.contrib.auth.mixins import LoginRequiredMixin, PermissionRequiredMixin
from django.views.generic import ListView, DetailView, CreateView , UpdateView, DeleteView
from bootstrap_modal_forms.generic import BSModalReadView, BSModalCreateView, ... |
# coding=utf-8
# Copyright 2018 The TF-Agents Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
# -*- coding: utf-8 -*-
import sys, random
from collections import defaultdict, deque
CACHE_DELIM = '\v'
TERMINATOR = '\f'
class Markovator:
"""
Data is a list (corpus) of lists (sentences) of strings (words)
example = [
[ "Lorem", "ipsum", "dolor", "sit", "amet.", ],
[ "Consectetur... |
# Generated by Django 3.1.2 on 2021-01-01 22:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('volunteers', '0015_volunteerapplication_organizer_teams'),
]
operations = [
migrations.AddField(
model_name='volunteer',
... |
# copyright 2003-2010 LOGILAB S.A. (Paris, FRANCE), all rights reserved.
# contact http://www.logilab.fr/ -- mailto:contact@logilab.fr
#
# This file is part of logilab-common.
#
# logilab-common is free software: you can redistribute it and/or modify it under
# the terms of the GNU Lesser General Public License as publ... |
from __future__ import absolute_import
from lxml import etree
from sciencebeam_utils.beam_utils.io import (
save_file_content
)
from sciencebeam_gym.utils.pages_zip import (
save_pages
)
from sciencebeam_gym.structured_document.lxml import (
LxmlStructuredDocument
)
from sciencebeam_gym.structured_docu... |
name = "text2digits"
__version__ = "0.0.9"
|
from django.conf.urls import url
from . import views
app_name = 'longfellow'
urlpatterns = [
url(r'^$', views.index, name='index'),
url(r'^post/(?P<pk>[0-9]+)/$', views.detail, name='detail'),
url(r'^about.html$', views.about, name='about'),
url(r'^category.html$', views.category, name='category')
]
|
"""
iniciar com letra, pode conter nuemros, separar _ , letras minusculas
"""
nome = 'Lincoln'
# print(nome, type(nome))
idade = 38
altura = 1.74
e_maior = idade >= 18
peso = 88
imc = peso / (altura ** 2)
print('Nome:', nome)
print('Idade:', idade)
print('Altura', altura)
print('É maior de idade: ', e_maior)
print('P... |
import os
import os.path as path
import sys
import progReader
import glob
from typing import List
rootDir = path.join(os.path.dirname(__file__), "../")
longSnippetsFileGlob = path.join(rootDir, "[A-Z]*/**/*.hpp")
shortSnippetsFileGlob = path.join(rootDir, "short-snip/*.[ch]pp")
def genSnippet(srcFiles: List[str], us... |
from bot import botNet
import os
ROOT_DIR = os.path.dirname(os.path.abspath(__file__))
if __name__ == '__main__':
bot = botNet.botNet()
bot.main()
|
# Switch between four states (INT PHASE, MW DET B)
# INT PHASE can be 0 (TRUE) or pi/2 (FALSE)
# MW DET B can be on (TRUE) or off (FALSE)
from DAQ.Environment import *
def prompt(text):
sys.stdout.write(text)
return sys.stdin.readline().strip()
def go(intPhaseZeroVoltage, intPhasePiBy2Voltage):
# prompt to enter... |
from gutfit.experimentalneutrinomassmatrix import ExperimentalNeutrinoMassMatrix
from gutfit.type1and2seesaw import Type1And2SeeSaw
from gutfit import parameterlist
def sample(E,PL,m1):
p=PL()
p["data_neutrino_m1"] = m1
return E(p)
#https://stackoverflow.com/questions/13377046/scipy-fill-a-histogram-readi... |
'''
@description 2019/09/03 23:34
'''
# 1.使用单引号或者双引号括起来的。(在python中，双引号和单引号都可以用来生成字符串)
# 2.但是如果你开头使用的是单引号，那么结尾必须使用单引号。就是前后要一致。
text = 'hello world'
print(text)
print(type(text)) # str
# 3.如果想要存储多行的字符串，那么可以使用六个单引号或者六个双引号。
# 4.如果想要在写代码的时候将一行字符串放到多行中显示，但是真正生成字符串的时候，不需要换行，那么可以在每一行的末尾加上\。
# break_text = '''hello
# worl... |
"""Authoritative project's version-info"""
__version__ = "1.0.0.dev12" ## Semantic-version: Update identifiers also in README.rst.
__updated__ = "2019-08-30 14:55:39"
|
import os
import numpy as np
from PIL import Image
class Augmentation(object):
def __init__(self, data_dir, flip=True):
super(Augmentation, self).__init__()
self.data_dir = data_dir
self.flip = flip
self.array_data = []
self.flip_data = []
self.augment_data = []
self.shifting_rate = 1e-1
def get_data(... |
# -*- coding: utf-8 -*-
##############################################################################
#
# Copyright © 2013 OnlineGroups.net and Contributors.
# All Rights Reserved.
#
# This software is subject to the provisions of the Zope Public License,
# Version 2.1 (ZPL). A copy of the ZPL should accompany this d... |
from flask import Blueprint
debug = Blueprint('debug', __name__, template_folder='templates')
from . import views
|
import redis as pyredis
from ebedke import settings
redis = pyredis.StrictRedis(host=settings.redis_host,
port=settings.redis_port,
decode_responses=False)
RedisConnectionError = pyredis.exceptions.ConnectionError
|
# -*- coding: utf-8 -*-
from ogs5py import OGS
model = OGS(
task_root='1d_1_root',
task_id='1d_1',
output_dir='out',
)
model.msh.read_file('1d_1.msh')
model.gli.read_file('1d_1.gli')
model.pcs.add_block(
main_key='PROCESS',
PCS_TYPE='GROUNDWATER_FLOW',
NUM_TYPE='NEW',
)
model.pcs.add_block(
... |
# Stats Functions
|
import torch
import time
import numpy as np
from spikee.utils import evaluate
import os
def train(optimizer, batcher, model, delta, steps, data = None):
'''
Training the model. To monitor the training, mean scores for train, valid and negative triples can be shown.
optimizer: torch optimizer
batcher: ... |
###############################################################################
#
# The MIT License (MIT)
#
# Copyright (c) Crossbar.io Technologies GmbH
#
# 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 ... |
import os
import time
from datetime import timedelta
import discord
import psutil as psutil
from discord.ext import commands
class Stats(commands.Cog, name="Stats"):
def __init__(self, client):
self.client = client
@commands.command(name="stats")
async def view_stats(self, ctx):
"""
... |
import urequests
from simp_py import mon
import re
import time,sys
r_tm = r'(\d\d\d\d)-(\d\d)-(\d\d)T(\d\d):(\d\d):(\d\d)'
re_tm = re.compile(r_tm)
pv_update=''
v_min=999999999
v_max=0
ts=''
btc=0
def get_btc_info():
global urequests,time,re_tm,pv_update,v_min,v_max,mon,ts,btc
try:
response = urequests.get('htt... |
# coding=utf-8
from __future__ import absolute_import, division, print_function, \
unicode_literals
import filters as f
from iota import Bundle, TransactionHash
from iota.commands import FilterCommand, RequestFilter
from iota.commands.extended.get_bundles import GetBundlesCommand
from iota.commands.extended.send_... |
import os, sys
sys.path.append(os.path.join(os.path.dirname(__file__)))
import random
from decimal import Decimal
from sinaps import Sinaps
from neuron import Neuron, InputNeuron, HiddenNeuron, OutputNeuron, BiasNeuron
class NeuroNet:
@classmethod
def createNet(cls, neuronList, E, A, isBiasNeuronEnabled = F... |
import itertools
x = 0
d = {}
for i in itertools.product(".#", repeat=9):
binnum = int("".join(i).replace(".","0").replace("#","1"),2)
na = sum([i[j]=="#" for j in range(len(i)) if j != 4])
if i[4] == "#":
if na < 2:
d[binnum] = "."
elif na > 3:
d[binnum] = "."
... |
# -*- coding: utf-8 -*-
from model.group import Group
import pytest
import random
import string
def random_string(prefix, maxlen):
# string will be chosen from letters, digits and 10 spaces -- ' '*10
symbols = string.ascii_letters + string.digits + string.punctuation + ' '*5
return prefix + ''.join([rando... |
import numpy as np
from scipy.optimize import minimize_scalar
#^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
# original MATLAB code from Wanxiang:
#
#
# 1> syms x_sym latt_sym vol_sym % use symbolic computation
# 2> latt_sym = [ 2*x_sym 0 z;
# 3> ... |
from utils import (
setup_fs,
load_dbc_files,
list_log_files,
ProcessData,
MultiFrameDecoder,
)
from utils_db import SetupInflux
import inputs as inp
# initialize connection to InfluxDB + get latest data entries per device
influx = SetupInflux(inp.influx_url, inp.token, inp.org_id, inp.influx_bucke... |
class Solution:
def sortByBits(self, arr: list[int]) -> list[int]:
arr.sort()
key = lambda x: bin(x).count("1")
return sorted(arr, key=key) |
version = "1.5.2"
__version__ = version
project_name = "datarobot-drum"
|
# -*- coding:utf-8 -*-
# Create by 27
# @Time : 2020/3/1 02:23
__author__ = '27'
class NoneLocal:
def __init__(self, v):
self.v = v
n = NoneLocal(1)
|
from ansiblelint import AnsibleLintRule
class ShellAltService(AnsibleLintRule):
id = 'E507'
shortdesc = 'Use service module'
description = ''
tags = ['shell']
def matchtask(self, file, task):
if task['action']['__ansible_module__'] not in ['shell', 'command']:
return False
... |
import numpy as np
import tifffile as tiff
import os
from tensorflow.keras import backend as K
class Data_Generator:
def __init__(self, C):
"""
C is the config from config.py
"""
self.fov_size = C.field_of_view_scales
self.cropped_size = C.cropped_size
# we should apply SAME padding
self.... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.