content stringlengths 5 1.05M |
|---|
import pytest
from mantisshrimp.imports import nn
@pytest.fixture(scope="module")
def simple_backbone():
class SimpleBackbone(nn.Module):
def __init__(self):
super().__init__()
self.c1 = nn.Conv2d(3, 8, 3, 2)
self.c2 = nn.Conv2d(8, 16, 3, 2)
self.out_channel... |
# -*- coding: utf-8 -*-
"""
Provide tools to calculate Local Parameter Importance
=====================================================
"""
import numpy
import pandas as pd
from orion.analysis.base import flatten_numpy, to_numpy, train_regressor
from orion.core.worker.transformer import build_required_space
def make... |
import json
import pandas as pd
files = ['jsonfile/search_subjects.json', 'jsonfile/search_subjects (1).json', 'jsonfile/search_subjects (2).json', 'jsonfile/search_subjects (3).json']
for file in files:
f = open(file, 'r', encoding='utf-8')
ps = json.load(f)
numl = []
for p in ps['subjects']:
... |
##########################################################################
#
# Copyright (c) 2017, Image Engine Design Inc. All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are
# met:
#
# * Redistrib... |
#
# Copyright 2010-2017 Amazon.com, Inc. or its affiliates. All Rights Reserved.
#
import sys
import logging
import greengrasssdk
# Setup logging to stdout
logger = logging.getLogger(__name__)
logging.basicConfig(stream=sys.stdout, level=logging.DEBUG)
client = greengrasssdk.client('iot-data')
def uptime_handler(e... |
import hashlib
import base64
import ecdsa
from connaisseur.exceptions import InvalidPublicKey
def verify_signature(public_base64: str, signature_base64: str, message: str):
"""
Verifies the given bas64-encoded signature with the base64-encoded public
key and serialized message. The message should not con... |
"""
author: Florian Krach & Calypso Herrera
code for parallel training
"""
# =====================================================================================================================
import numpy as np
import os, sys
import pandas as pd
import json
import socket
import matplotlib
import copy
from sklearn... |
import torch
from .Module import Module
from .utils import clear
class Reshape(Module):
def __init__(self, *args):
super(Reshape, self).__init__()
if len(args) == 0 and isinstance(args[0], torch.Size):
self.size = args[0]
else:
self.size = torch.Size(args)
... |
from vis_dataclasses import load_image_file_zipped
from pathlib import Path
from typing import Tuple
from dataclasses import dataclass
from PIL import Image
import pygame
import numpy as np
import rasterio as rio
def pil_image_to_surface(im):
return pygame.image.fromstring(im.tobytes(), im.size, im.mode)
def wr... |
"""
Time Complexity: O(1)
Space Complexity: O(1)
"""
"""
Time Complexity: O(n)
Space Complexity: O(1)
"""
def sum_n_natural_numbers(n: int) -> int:
""""n: 1 + 2 + 3 + ... + n"""
result = 0
for i in range(1, n + 1):
result += i
return result
print(sum_n_natural_numbers(10))
print(sum_n_natural_... |
import tensorflow as tf
import numpy as np
import math
import time
import os
import glob
import cv2
import datetime
import scipy as sp
from model_v2 import ESPCN
from utils import (
input_setup,
checkpoint_dir,
read_data,
checkimage,
imsave,
imread,
load_data,
preprocess,
modcrop
)
... |
# Support for python2
from __future__ import print_function
# Import ctypes
from ctypes import *
# Importing Numpy (math, arrays, etc...)
import numpy as np
# Import platform to detect OS
from sys import platform, exit
# Import os utils
from os import path
# Import thermo
from . import thermo
from . import cubic
c_len... |
"""
Author: RedFantom
License: GNU GPLv3
Copyright (c) 2017-2018 RedFantom
"""
import sys
from unittest import TestCase
from ttkthemes import ThemedTk
from tkinter import ttk
def printf(string, end="\n"):
sys.__stdout__.write(string + end)
sys.__stdout__.flush()
class TestThemedWidgets(TestCase):
"""
... |
# -*- coding: utf-8 -*-
"""
# Deep Learning - Recurrent Neural Networks
Implementation of a simple LSTM network that tries to estimate the google stock prices given a sequence of data.
"""
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
"""## 1. Import your datasets train and test """
train ... |
from .subcmd import SubCmd
class ResumeCmd(SubCmd):
def add_parser(self, subparser):
self.parser = subparser.add_parser('resume', help='Resume a previously stopped job')
self.parser.add_argument(
'id',
help='ID of crawler job'
)
def execute(self, args):
... |
# Copyright 2020 Google LLC
#
# 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, ... |
''''
Given an array of integers nums and an integer k, determine whether there are two distinct indices i and j in the array where nums[i] = nums[j] and the absolute difference between i and j is less than or equal to k.
Example
For nums = [0, 1, 2, 3, 5, 2] and k = 3, the output should be
containsCloseNums(nums, k) ... |
import spotipy
from spotipy.oauth2 import SpotifyOAuth
import os
from secret import *
os.environ["SPOTIPY_CLIENT_ID"] = clientId
os.environ["SPOTIPY_CLIENT_SECRET"] = clientSecret
os.environ["SPOTIPY_REDIRECT_URI"] = "https://open.spotify.com/"
scope = "user-library-read"
username = '1146603936'
auth_user = SpotifyO... |
import os
import storage
def _readConfig(f):
try:
return storage.json.load(f)
except IOError:
return []
dir_path = os.path.dirname(os.path.realpath(__file__))
defaultConfig = _readConfig(dir_path + '/config_default.json')
userConfig = _readConfig(dir_path + '/config.json')
overrides = {}
# Fi... |
"""
Welcome to CARLA manual control.
Use ARROWS or WASD keys for control.
W : throttle
S : brake
A/D : steer left/right
Q : toggle reverse
Space : hand-brake
P : toggle autopilot
M : toggle manual transmission
,/. ... |
import logging
from tweesky.parser.html_parser import HtmlParser
from tweesky.parser.spotify_parser import SpotifyTrack, SpotifyAlbum, SpotifyArtist, SpotifyEpisode, SpotifyPlaylist, \
SpotifyShow
def get_parser(url=None, html=None):
if 'open.spotify.com' in url:
return get_spotify_handler(url)
e... |
import pandas as pd
tweets_df = pd.read_csv('tweets.csv')
# Extract the created_at column from df: tweet_time
tweet_time = tweets_df['created_at']
# Extract the clock time: tweet_clock_time
tweet_clock_time = [entry[11:19] for entry in tweet_time if entry[17:19] == '19']
# Print the extracted times
print(tweet_cloc... |
import os
from importlib import import_module
def get_all_features(module=None):
all_values = []
files = ['features/'+module+'/'+name for name in os.listdir('./features/'+module)]
for fname in files:
if fname.endswith('.pyc'):
os.remove(fname)
for filename in files:
if '.p... |
"""handles feature extraction"""
# rewrite of https://github.com/leelabcnbc/tang-paper-2017/blob/master/tang_2017/feature_extraction.py
from torchvision.models import vgg16, vgg16_bn, vgg19, vgg19_bn
from leelabtoolbox.feature_extraction.cnn import (cnnsizehelper, generic_network_definitions)
from leelabtoolbox.prepro... |
from DataUtil import *
if __name__ == '__main__':
image_paths = getAllImageData()
print(len(image_paths['naip_2013']))
print(len(image_paths['naip_2017']))
print(len(image_paths['nlcd_2013']))
print(len(image_paths['nlcd_2016']))
print(len(image_paths['landsat_2013']))
print(len(image_paths... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
from time import strftime
from django.contrib import admin
from django.contrib.admin import AdminSite
from book.models import book
from django.utils.translation import ugettext_lazy as _
class bookAdmin(admin.ModelAdmin):
# title = models.CharField("分类名称",max_length=100,d... |
from django.shortcuts import render
from django.http import HttpResponse
from blog.models import Post
# Create your views here.
# index view
def index(request):
all_posts = Post.objects.all()
posts_data = {
# we'll access all post with 'posts' name.
'posts': all_posts
}
return rende... |
import numpy as np
import pandas as pd
import timeit
import itertools
from typing import List, IO
from numpy import int8, int64, ndarray
from numpy import uint8 # type: ignore[attr-defined]
import binascii
loops = 1000
t = 0.0 # type:float
# read 10 lines as bytes: 15us (winner)
def readfile1():
# type: () -> Lis... |
# coding=utf-8
from OTLMOW.OTLModel.Datatypes.KeuzelijstField import KeuzelijstField
from OTLMOW.OTLModel.Datatypes.KeuzelijstWaarde import KeuzelijstWaarde
# Generated with OTLEnumerationCreator. To modify: extend, do not edit
class KlNatuursteentegelGebruiksklasse(KeuzelijstField):
"""Mogelijke waarden voor de ... |
from django.http import HttpResponse
from plogical.CyberCPLogFileWriter import CyberCPLogFileWriter as logging
class pluginManagerGlobal:
@staticmethod
def globalPlug(request, eventInQuest, response = None):
if response == None:
hookReturn = eventInQuest.send(sender=None, request=request)
... |
from fastapi import FastAPI, HTTPException
from fastapi.middleware.cors import CORSMiddleware
from exchangeapi.routers.routers import router as api_router
from exchangeapi.db.mongodb_utils import connect_to_mongo, close_mongo_connection
app = FastAPI()
app.add_middleware(
CORSMiddleware,
allow_origins="*",
... |
"""
This module contains the Poller logic
"""
import asyncio
import logging
import os
import signal
from typing import Dict
from suzieq.poller.worker.inventory.inventory import Inventory
from suzieq.poller.worker.services.service_manager import ServiceManager
from suzieq.poller.worker.writers.output_worker_manager \
... |
#!/usr/bin/env python3
"""
Sultanov Andriy
MIT License 2020
"""
def main():
# Creating a new library instance
library = Library()
# Adding a new book
library.add_book("Macbeth", "Macbeth.txt", "Shakespeare, William", 1606)
# Created a new Category Author Shakespeare, William
# Created a new C... |
#!/usr/bin/python
from __future__ import absolute_import, division, print_function
import subprocess
from builtins import bytes, range
from os.path import abspath, dirname
from os.path import join as join_path
from random import randint
from CryptoAttacks.Block.gcm import *
from CryptoAttacks.Utils import log
def... |
#JO-KEN-PO
import time
import random
lista = ("PEDRA","PAPEL","TESOURA")
pcopcao = random.randint(0,2)
print('''Suas opções:
[ 0 ] PEDRA
[ 1 ] PAPEL
[ 2 ] TESOURA''')
opcao = int(input('Qual a sua jogada? '))
time.sleep(1)
print("JO")
time.sleep(1)
print("KEN")
time.sleep(1)
print("PO!")
time.sleep(1)
print('-='*15)
p... |
#!/usr/bin/env python3
"""Create an Aruco markers for testing.
It can create a single marker or a pair for easy testing.
"""
__author__ = "Steve Geyer"
__copyright__ = "Copyright 2019, Steve Geyer"
__credits__ = ["Steve Geyer"]
__license__ = "BSD 3-Clause License"
__version__ = "1.0.0"
__status__ = "Development"
im... |
from PolyEdit3D.Widgets.PlyToolPanel import PlyViewportToolPanel, PlyBtnSetWireView, PlyBtnDrawPlaneByVector
from PolyEdit3D.GL.Renderer import PlyRenderer, PlyViewportCamera
from PolyEdit3D.GL.Elements import PlySceneAxisDots, PlySceneAxisLines, PlySceneGrid
from PolyEdit3D.GL.GeometryEngine import GeometryEngine, Ply... |
class Solution:
@staticmethod
def search_matrix(matrix, target):
return Solution.upper_right_solution(matrix, target)
pass
@staticmethod
def simple_solution(matrix, target):
for row in matrix:
for item in row:
if item == target:
re... |
from django.shortcuts import render, redirect
from django.urls import reverse
from django.views.generic import CreateView
from django.contrib import messages
from django.contrib.auth import login
from django.contrib.auth.decorators import login_required
from django.views.generic.detail import DetailView
from .models im... |
class Node:
def __init__(self, data):
"constructor to initiate this object"
# store data
self.val = data
# store reference (next item)
self.next = None
return
def has_value(self, value):
"method to compare the value with the node data"
if sel... |
import re
nombres = ["Sandra López", "Antonio Gómez", "María López",
"Jara Martín", "Lara Pérez"]
[print(nombre, end="\n") for nombre in nombres if re.match(".ara", nombre)]
|
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'C:\Users\paul\Dropbox\Python\projects\Shape_Calculator\application\pyqt_ui\uiFormTabs.ui'
#
# Created by: PyQt4 UI code generator 4.11.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fro... |
# Copyright (c) 2016, Ethan White
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# * Redistributions of source code must retain the above copyright
# notice, this list of conditions and... |
"""
Helpers for working with URLs in arXiv Flask applications.
This module provides :func:`external_url_handler`, which is attached to Flask
application instances by :class:`arxiv.base.Base`. This leverage's Flask's
built-in hook for :class:`flask.BuildError` exception handlers, described in
the :func:`flask.url_for` ... |
"""
Entradas
Lectura de la factura-->float-->L
Costo kilovatio-->float-->CK
Salidas
Monto total de la factura-->float-->MT
"""
L=float(input("Ingrese la lectura de su factura: "))
CK=float(input("ingrese el costo del kilovatio: "))
MT=(L*CK)
print("Monto total de su factura: "+str(MT)) |
import numpy as np
from grad_check import test_gradient
import deepart
def gen_test_target_data(net, targets):
input_shape = deepart.get_data_blob(net).data.shape
target_data_list = []
for target_i, (target_img_path, target_blob_names, is_gram, _) in enumerate(targets):
# Copy image into input b... |
from django.shortcuts import redirect
# In Django, middleware is a lightweight plugin that processes during request and response execution. Middleware is used to perform a function in the application. The functions can be a security, session, csrf protection, authentication etc. Django provides various built-in middle... |
import model3 as M
import tensorflow as tf
import numpy as np
import network
import datareader
BSIZE = 128*4
EPOCH = 30
# data_reader = datareader.DataReader('imglist_iccv.txt', BSIZE)
tf.keras.backend.set_learning_phase(True)
def loss_func(out, label):
lb = tf.convert_to_tensor(label)
out = tf.nn.log_softmax(ou... |
"""Implementation of classic arcade game Pong."""
LINK = "http://www.codeskulptor.org/#user47_2HxT8SEaWe_8.py"
import simplegui
import random
# Constants
WIDTH = 600
HEIGHT = 400
BALL_RADIUS = 20
PAD_WIDTH = 8
PAD_LENGTH = 80
PAD_VEL = 4
# helper functions
def add_vec(first_vector, second_vector, dimensions = 2, wr... |
# -*- coding: utf-8 -*-
# !/usr/bin/env python
# Copyright 2021 zhangt2333. All Rights Reserved.
# Author-Github: github.com/zhangt2333
# main.py 2021/9/13 14:00
import spider
username = "账号"
password = "统一认证密码"
sleep_time = 1.0
if __name__ == '__main__':
spider.main(username, password, sleep_time) |
import logging
from telegram import ParseMode
from telegram.ext import ExtBot
from telegram.ext import Defaults
from telegram.utils.request import Request
from bot import database
from bot.bot import StickerBot
from bot.utils import log
from config import config as CONFIG
logger = logging.getLogger(__name__)
sticke... |
import plotly.express as px
import pandas as pd
import datetime
class SolutionVisualizer:
def __init__(self):
pass
def print_solution(self, solution):
if(solution is None):
print("No solution was found!")
return
KT = max(solution.keys())
K = KT[0]
... |
"""
Linear INterpolation Functions.
theta refers to the full set of parameters for an adaptive linear interpolation model,
[n, y0, x1, y1, x2, y2, ..., x_n, y_n, y_n+1],
where n is the greatest allowed value of ceil(n).
The reason for the interleaving of x and y is it avoids the need to know n.
"""
import numpy as np... |
# Copyright Contributors to the Packit project.
# SPDX-License-Identifier: MIT
import datetime
import dateutil.tz
from specfile.changelog import Changelog, ChangelogEntry
from specfile.sections import Section
def test_parse():
changelog = Changelog.parse(
Section(
"changelog",
[... |
from typing import Union
import torch.nn as nn
import torch.utils.data
from mighty.trainer.gradient import TrainerGrad
from mighty.utils.common import find_layers
from mighty.utils.data import DataLoader
from torch.optim.lr_scheduler import _LRScheduler, ReduceLROnPlateau
from utils.layers import BinaryDecoratorSoft,... |
from setuptools import setup
from setuptools import find_packages
from codecs import open
from os import path
here = path.abspath(path.dirname(__file__))
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
setup(
VERSION = '0.0.0'
setup(
name='auditdb',
version=V... |
import os
import sys
import random
def read_write_1(infile,ofile):
with open(ofile, 'w') as out_f:
with open(infile,'r',errors='ignore') as in_f:
lines = in_f.readlines()
random.shuffle(lines)
for line in lines:
line_split = line.split(' ', 1)
... |
#!/usr/bin/env python3
import logging
import common
if __name__ == "__main__":
# setup args and logging
args = common.setup_args(domain=common.ArgMod.REQUIRED, llist=common.ArgMod.REQUIRED)
common.setup_logging(args.verbose)
fqdn_listname = "{}@{}".format(args.llist, args.domain)
logging.info("... |
from pathlib import Path
from zeep.exceptions import Fault
ROOT_DIR: Path = Path(__file__).parent
CUCM_LATEST_VERSION: str = "14.0"
USERNAME_MAGIC_KEY: str = "73q0eWFaIE2JJw8FMNeX"
URL_MAGIC_KEY: str = "8Cu16DGzNvunSsDNOTrO"
DUMMY_KEY: str = "xlGoVnofkKjNSgnwA9Z7"
DISABLE_SERIALIZER = False
DISABLE_CHECK_TAGS = Fals... |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# sources: atomix/value/value.proto
# plugin: python-betterproto
from dataclasses import dataclass
from typing import AsyncGenerator, Optional
import betterproto
from atomix.proto import headers
class EventResponseType(betterproto.Enum):
UPDATED = 0
@... |
import importlib
import os
from functools import lru_cache
from urllib.parse import urlparse
from django.core.exceptions import ValidationError, ObjectDoesNotExist
from django.utils.translation import ugettext_lazy as _
from orchestra import plugins
from orchestra.contrib.databases.models import Database, DatabaseUse... |
#!/usr/bin/env python
# coding=utf-8
from functools import wraps
from flask import abort
from flask.ext.login import current_user
from .models import Permission
def permission_required(permission):
def decorator(func):
@wraps(func)
def wrapper(*args, **kwargs):
if not current_user.c... |
import os
import re
from setuptools import find_packages, setup
with open(
os.path.join(os.path.dirname(__file__), 'src', 'apialchemy', '__init__.py')
) as v_file:
VERSION = (
re.compile(r""".*__version__ = ["']([^\n]*)['"]""", re.S)
.match(v_file.read())
.group(1)
)
with open(os.... |
import datetime
import os
import json
import logging
from datetime import timedelta
from logging.config import fileConfig
from logging.handlers import RotatingFileHandler
from flask import Flask, Response, request
from flask_mongoengine import MongoEngine
from flask_cors import CORS
from flask_jwt_extended import JWTMa... |
import nipype.pipeline as pe
from nipype.interfaces.utility import Function
# ToDo: not use a mutable argument for sg_args
def _check_if_iterable(to_iter, arg):
if not isinstance(arg, list):
arg = [arg] * len(to_iter)
return arg
fix_iterable = pe.Node(Function(input_names=['to_iter', 'arg'], outpu... |
# Copyright 2019-2021 ETH Zurich and the DaCe authors. All rights reserved.
""" Tests constant folding with globals. """
import dace
import numpy as np
from dace.frontend.python import astutils
from dace.frontend.python.newast import (GlobalResolver,
ConditionalCodeResolver,
... |
from django.db import models
class Contato(models.Model):
nome = models.CharField(max_length=50)
endereco = models.CharField(max_length=200)
email = models.EmailField(max_length=100)
data_nascimento = models.DateField()
telefone = models.CharField(max_length=20)
def __str__(self):
ret... |
#!/usr/bin/env python3
import csv
import gzip
import sys
import utils
# Trawls through the RU-IRA dataset and counts basic statistics within a
# specified time window.
if __name__=='__main__':
fn = sys.argv[1]
start_ts = utils.extract_ts_s(sys.argv[2], fmt=utils.DCW_TS_FORMAT)
end_ts = utils.extr... |
import numpy as np
import matplotlib.pyplot as plt
import sys, os
sys.path.append("../../../toolbox")
from toolbox import plot as ph
import helpers
from pathlib import Path
sys.path.append("../../../gempy")
from gempy.assets import topology as tp
import scipy.stats
data_folder = Path("D:/datasets/paper_topology/03_gul... |
from django.test import TestCase, Client
from django.urls import reverse
from guardian.shortcuts import assign_perm
from guardian.utils import get_anonymous_user
from rnapuzzles.models import CustomUser, Group as CustomGroup
class GroupView(TestCase):
def setUp(self):
self.user_without = CustomUser.objec... |
#!/usr/bin/env python
# A simple recurrent neural network that learns a simple sequential data set.
__author__ = 'Tom Schaul, tom@idsia.ch and Daan Wierstra'
from datasets import AnBnCnDataSet #@UnresolvedImport
from pybrain.supervised import BackpropTrainer
from pybrain.structure import FullConnection, RecurrentNetw... |
from django.utils import timezone
from django.db import models
class BaseModel(models.Model):
c_at = models.DateTimeField(default=timezone.now)
u_at = models.DateTimeField(auto_now=True)
class Meta:
abstract = True
|
'''Bradley adaptive thresholding. Credit goes to http://stackoverflow.com/a/33092928/4414003
where user @rayryeng wrote an implementation much more efficient than mine. To see my original code,
visit that link.'''
import numpy as np
from PIL import Image
import time
def bradley_threshold(image, s=None, t=None):
# C... |
import os
from functools import partial
from pydantic import validator, AnyHttpUrl, Field
from wunderkafka.time import now
from wunderkafka import SRConfig, ConsumerConfig, SecurityProtocol, AvroConsumer
# If you are the fan of 12 factors, you may want to config via env variables
class OverridenSRConfig(SRConfig):
... |
from .model_connector import ModelConnector
class GRPCConnector(ModelConnector):
@staticmethod
def check_import():
import grpc
import tensorflow as tf
import tensorflow_serving
def __init__(self, arg, name=''):
super().__init__(arg)
# warmup
import grpc
... |
from datetime import datetime
import hashlib
import json
import random
import re
import time
from urllib.parse import quote, parse_qs, urlencode
import uuid
def urlencode_plus(s):
if type(s) == str:
return quote(s)
elif type(s) == dict:
return urlencode(s)
else:
raise TypeError("ur... |
import argparse
import logging
import unittest
from . import arguments
parser = arguments.test_parser()
args = parser.parse_args()
if args.verbose:
logging.basicConfig(level=logging.INFO)
else:
logging.basicConfig()
if args.test:
from . import tests
if args.test is not True:
tests = unittest... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Jan 14 10:23:45 2022
@author: frederikhartmann
"""
# #####################################
# ############# Imports ###############
# #####################################
# Data manipulation
import torch
import os
# Debugging
import pdb
import seabo... |
import pytest
from ..openapi_data_generator.OptionalCombinationGenerator import generate_all_possible_objects
from ..openapi_data_generator.ObjectGenerator import ObjectsGenerator
from compare_objects import compare_objects
from openapi_schema_generator import OpenApiSchemaValidator, OpenApiSchemaGenerator
src_path = ... |
# -*- coding: utf-8 -*-
import sys
yVvnDsmDHFJwtkzTXrdPQxkddnKDxtdeyzGKftNynOBsbgmefQcpyMNEkJSiTvyFhdMOkDJqLKVqlQDQvtxHdEYtwpeYKKdhrkXdqeTQJsqLafHvcGgPyhJUWsHyxfoI = 'dCjAzhVjYAMNLNAYdScOtNXXEAuhZgtgPBRZliyRCZlnAYDPQVCrRyKddQIvYCFYDtjeMGUtzIOGLWIGddKIwOmcTdzLuutsazCRJplsOXAmOUzzpUsSTQCCmCJFtKIb'
lbFNowPVchqhHrFMyyHnRmI... |
from __future__ import annotations
import hashlib
import io
import os
import stat
from pathlib import Path
def read_file(filepath: Path) -> bytes:
"""Return the contents of a file as bytes.
If the file is a symlink, read its contents instead of its target.
"""
if filepath.is_symlink():
retur... |
"""Generate call_functions_batch.sh
- in : from/to date
- out: shell script for calling cloud functions
"""
import datetime
import json
import sys
def main():
args = sys.argv
oldest_dt = datetime.datetime.strptime(args[1], '%Y-%m-%d')
latest_dt = datetime.datetime.strptime(args[2], '%Y-%m-%d')
... |
import os
from pickle import dump, load
from PyQt5.QtCore import Qt, pyqtSignal, QSize
from PyQt5.QtGui import QIcon, QStandardItem, QStandardItemModel, QPixmap, QLinearGradient
from PyQt5.QtWidgets import (QAbstractItemView, QPushButton, QFileDialog, QLineEdit, QDialog, QLabel, QFormLayout,
... |
import os
import time
import tensorflow as tf
from tensorflow.keras.initializers import RandomNormal
from tensorflow.keras import Sequential
from tensorflow.keras.layers import Dense, BatchNormalization, \
LeakyReLU, Conv2DTranspose, Conv2D, Dropout, Flatten, Reshape
import scipy as sp
import numpy as np
from LkGA... |
from django.test import TestCase
from django.contrib.auth.models import User
from .models import healthservices,neighbourhood
import datetime as dt
# Create your tests here.
class neighbourhoodTestClass(TestCase):
def setUp(self):
self.kataret = neighbourhood(neighbourhood='kataret')
def test_instance... |
import pytest
import numpy as np
from ..posrich import posrich
import pkg_resources
PATH = pkg_resources.resource_filename(__name__, 'test_data/')
def test_posrich():
"Test positional enrichment"
# load data
X_list = open(PATH+'multiple.txt').read().splitlines()
X_err = 'AGT2HT9'
# test posrich ... |
import FWCore.ParameterSet.Config as cms
from RecoLocalTracker.SiStripZeroSuppression.DefaultAlgorithms_cff import *
siStripZeroSuppression = cms.EDProducer("SiStripZeroSuppression",
Algorithms = DefaultAlgorithms,
RawDigiProducersList = cms.VInputTag( cms.InputTag('siStripDigis','VirginRaw'),
... |
#!/usr/bin/env python
#===============================================================================
# Copyright (c) 2014 Geoscience Australia
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
... |
#!/usr/bin/env python
import django, sys, glob, os
sys.path.append('../../server/')
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dva.settings")
django.setup()
from dvaui.view_shared import handle_uploaded_file
from dvaapp.tasks import perform_import, perform_frame_download
from django.core.files.uploadedfile import... |
x = int(input(" "))
y = 5*x-400
print(y)
if y < 100:
print('1')
elif y == 100:
print('0')
elif y > 100:
print('-1')
|
from __future__ import division, print_function, unicode_literals
import argparse
import json
import random
import time
from io import open
import os
import numpy as np
import torch
from torch.optim import Adam
from convlab2.policy.mdrg.multiwoz.utils import util
from convlab2.policy.mdrg.multiwoz.model import Model... |
from django.db import models
class Post(models.Model):
title = models.CharField(max_length=100)
content = models.TextField()
# slug = models.SlugField()
# class Meta:
# verbose_name = _("")
# verbose_name_plural = _("s")
def __str__(self):
return self.title
# def get... |
# Generated by Django 3.0.5 on 2020-05-19 21:16
from django.db import migrations, models
import django.db.models.deletion
import exercises.helper
import exercises.validators
class Migration(migrations.Migration):
dependencies = [
('exercises', '0012_auto_20200514_2227'),
]
operations = [
... |
from .api.client import ApiClient
from .api.external_task import ExternalTaskApi
class CamundaClient:
"""
A client for communicating with a Camunda server.
"""
def __init__(self, *args, **kwargs):
self.api = ApiClient(*args, **kwargs)
@property
def external_task(self):
return... |
# Generated by the protocol buffer compiler. DO NOT EDIT!
# source: POGOProtos/Data/Logs/ActionLogEntry.proto
import sys
_b=sys.version_info[0]<3 and (lambda x:x) or (lambda x:x.encode('latin1'))
from google.protobuf import descriptor as _descriptor
from google.protobuf import message as _message
from google.protobuf... |
from threading import Lock
from typing import Any
import requests
class SessionCore:
"""
SessionCore is a singleton class.
"""
_has_instance = None
_lock = Lock()
def __new__(cls: Any) -> "SessionCore":
if not cls._has_instance:
with cls._lock:
if not cls... |
import tensorflow as tf
import numpy as np
from tensorflow.contrib import rnn, layers
class DQL(object):
def __init__(self,
input_len,
nb_state_token,
nb_action_token):
self.input_len = input_len
self.nb_state_token = nb_state_token
self.n... |
string = "Practice Problems to Drill List Comprehension in Your Head."
count = 0
for i in range(len(string)):
if string[i] == ' ':
count += 1
print(count)
my_space = len([space for space in string if ' ' in space])
print(my_space) |
def hello_world():
return "Hello from Python CI Template!"
if __name__ == "__main__":
print(hello_world())
|
from keras.utils import Sequence
import numpy as np
import cv2
#from script.cloud_images_segmentation_utillity_script import build_masks
from script.my_util import build_masks
class DataGenerator(Sequence):
def __init__(self, images, imageName_to_imageIdx_dict, dataframe, batch_size, n_channels, target_... |
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