content stringlengths 5 1.05M |
|---|
"""
Comparing ANN and linear model for evaluating model biases, differences, and
other thresholds using explainable AI for historical data (and SMOOTHED data)
Author : Zachary M. Labe
Date : 19 May 2021
Version : 1 - adds extra class (#8), but tries the MMean
"""
### Import packages
import matplotlib.py... |
import calendar
from datetime import datetime
import decimal
import xml.etree.ElementTree as xmlET
def dparse(*dstr):
"""Convert date string to datetime.
This function is used by Pandas to parse dates.
If only a year is provided the returned datetime will be for the last day of the year (e.g. 12-31).
... |
import cv2
import numpy as np
from matplotlib import pyplot as plt
from tkinter import filedialog
from tkinter import *
root = Tk()
root.withdraw()
root.filename = filedialog.askopenfilename(initialdir = "/",title = "Select file",filetypes = (("all files",".*"),("jpg files",".jpg")))
img = cv2.imread(root.fi... |
from __future__ import print_function
import os
import json
import numpy as np
import dask
import toolz as tz
import functools
from .io import IoN5, IoHDF5 # IoDVID
def load_input(io, offset, context, output_shape, padding_mode='reflect'):
starts = [off - context[i] for i, off in enumerate(offset)]
stops =... |
from asyncio import get_event_loop
from typing import Any, Coroutine, Optional
from inspect import iscoroutinefunction
from .src import IPSWME, SHSH2, SWSCAN, Jailbreak, Pallas
class Client:
"""
Main class of PyApple.
"""
def __init__(self, *args, **kwargs): # needs to be reworked
super().... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Oct 22 14:33:59 2019
@author: SpaceMeerkat
A script for testing the trained CAE with synthetic moment maps
"""
# =============================================================================
# Import relevant packages
# ===============================... |
__all__ = [
'Socket',
'device',
'terminate',
]
import curio
import curio.traps
from . import (
SocketBase,
errors,
terminate as _terminate,
)
from .constants import (
AF_SP,
AF_SP_RAW,
NN_DONTWAIT,
)
async def device(sock1, sock2=None):
"""Re-implement nn_device without threa... |
import logging
from celery import shared_task
from django.conf import settings
from django.contrib.auth import get_user_model
from .utils import (
change_user_password as _change_user_password,
create_user as _create_user,
update_user as _update_user,
)
logger = logging.getLogger('kompassi')
@shared... |
import re
pattern = re.compile(r"([A-Za-z]).([a])")
text = 'Search this inside ot this text please!'
a = pattern.search(text)
print(a.group()) # Sea
b = pattern.findall(text)
print(b) # [('S', 'a'), ('l', 'a')]
c = pattern.fullmatch(text)
print(c) # None
d = pattern.match(text)
print(d) # None
|
from collections import OrderedDict
from enum import Enum, auto
from threading import RLock
from typing import (
TYPE_CHECKING,
Callable,
Generic,
Iterable,
Iterator,
List,
Mapping,
MutableMapping,
NoReturn,
Optional,
)
from typing import OrderedDict as OrderedDictType
from typin... |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
import time
import boto3
import logging
import cfnresponse
from botocore.exceptions import ClientError
sm_client = boto3.client('sagemaker')
logger = logging.getLogger(__name__)
def delete_apps(domain_id):
l... |
import pandas as pd
class IterateWrapper:
def __init__(self, iter_df, key):
self.iter_df = iter_df
self.key = key
def __call__(self, *args, **kwargs):
results = DataFrameArray()
for df in self.iter_df:
results.append(
getattr(df, self.key)(*args, **k... |
from time import sleep
while True:
sleep(0.1)
print("Test")
|
# -*- coding: utf-8 -*-
import scrapy
from scrapy_news.items import SoccerNewsItem
import scrapy_news.url_selector as url_selector
#to run
#scrapy crawl metro
class MetroSpider(scrapy.Spider):
name = 'metro'
allowed_domains = ['metro.co.uk']
source = 'Metro'
start_urls = url_selector.get_urls(source)
... |
import redis
class RedisClient:
def __init__(self, db = 0):
'''
Init the RedisClient instance. It should be the direct contact with the redis-server on this machine.
'''
self.db = db
self.redis = redis.Redis()
def ping(self) -> bool:
try:
return self... |
#!usr/bin/python
# -*- coding: utf-8 -*-
import random
import os
import numpy as np
import pandas as pd
from pathlib import Path
from functools import partial
import torch
from torch import nn
import warnings
from fastai.torch_core import defaults
from fastai import vision
from fastai.data_block import CategoryList, ... |
from __future__ import annotations
import abc
import asyncio
import dataclasses
import functools
import io
import os.path
import pickle
import shlex
import threading
import uuid
from typing import Callable, TypeVar, Union, Any, Dict, Optional, Sequence, cast, Tuple
import cloudpickle
import fabric
import paramiko.ssh... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
try:
from setuptools import setup
except ImportError:
from distutils import setup
def readfile(file_path):
dir_path = os.path.dirname(os.path.abspath(__file__))
with open(os.path.join(dir_path, file_path), 'r') as f:
return f.read()
se... |
class WrappedDictionary(object):
def __init__(self):
self.__dict = {}
def __getattr__(self, item):
return self.__dict[item]
def __setattr__(self, key, value):
object.__setattr__(self, key, value)
self.__dict[key] = value
def __repr__(self):
return str(self.__di... |
# -*- coding: utf-8 -*-
import os
import unittest
from manolo_scraper.spiders.osce import OSCESpider
from utils import fake_response_from_file
class TestOsceSpider(unittest.TestCase):
def setUp(self):
self.spider = OSCESpider()
def test_parse_item(self):
filename = os.path.join('data/osce',... |
def sunday(x, n):
a = x
b = 0
for i in range(len(n)):
q = n[i] % 7
a += q
if a%7 == 0:
b += 1
if a>7:
a -= 7
z = [a, b]
return z
if __name__ == '__main__':
ans = 0
day = 2
for i in range(1901,2001):
pri... |
"""
EXERCÍCIO 011: Pintando Parede
Faça um programa que leia a largura e a altura de uma parede em metros,
calcule a sua área e a quantidade de tinta necessária para pintá-la,
sabendo que cada litro de tinta, pinta uma área de 2 m².
"""
larg = float(input('Largura da parede: '))
alt = float(input('Altura da parede: ')... |
import pandas as pd
import numpy as np
import random
# Reading data set
df1 = pd.read_csv('.\data\wordsDataSet.csv')
# Removed Count coloumn as it was not required
df1 = df1.drop('count', 1)
# Added length column to remove words with small length
df1['length'] = df1.word.str.len()
df1 = df1[df1.length > 6.0]
df2 = p... |
import os
from subprocess import Popen, PIPE
from tempfile import TemporaryDirectory
_temp_dir = None
source_path = ""
def reset_checkout():
global _temp_dir, source_path
if _temp_dir is None:
_temp_dir = TemporaryDirectory()
source_path = _temp_dir.name
process = Popen([
'repo', ... |
from .settings_common import *
DEBUG = False
# This is handy for debugging problems that *only* happen when Debug = False,
# because exceptions are printed directly to the log/console when they happen.
# Just don't leave it on!
# DEBUG_PROPAGATE_EXCEPTIONS = True
# The base location, on disk, where we want to store ... |
# -*- coding=utf-8 -*-
"""
自编码器的学习目标是 使用少量稀疏的高阶特征重构输入：
1. 限制中间隐层节点的数量，比如让中级那隐含层节点的数量小于输入/输出节点的数量，就相当于一个降维
再给中间隐含层的权重加一个 L1 正则，则可以根据隐含系数控制隐含节点的稀疏程度，惩罚系数越大，学到的特征组合越稀疏，实际使用（非零权重）
的特征数量越少。
2. 如果给数据加入噪声，那么就是 Denoising Auto Encoder（去噪自编码器）
唯有学习数据频繁出现的模式和结构，将无规律的噪声略去，才可... |
from __future__ import print_function
import logging
from eosetl_airflow.build_load_dag import build_load_dag
from eosetl_airflow.variables import read_load_dag_vars
logging.basicConfig()
logging.getLogger().setLevel(logging.DEBUG)
# airflow DAG
DAG = build_load_dag(
dag_id='eos_load_dag',
chain='eos',
... |
#
# Copyright (c) 2021 Nitric Technologies Pty Ltd.
#
# This file is part of Nitric Python 3 SDK.
# See https://github.com/nitrictech/python-sdk for further info.
#
# 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 cop... |
module_name = "main"
variable_name = "app" |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import numpy as np
import pandas
from pandas.compat import string_types
from pandas.core.dtypes.cast import find_common_type
from pandas.core.dtypes.common import (
is_list_like,
is_numeric_dtype,
... |
from PyQuantum.Common.Matrix import *
import numpy as np
# import pandas as pd
from scipy.sparse import identity, kron, csc_matrix
class Hamiltonian(Matrix):
# -----------------------------------------------------------------------------------------------------------------
# ----------------------------------... |
"""
@Author: yshhuang@foxmail.com
@Date: 2020-07-23 16:13:08
@LastEditors: yshhuang@foxmail.com
@LastEditTime: 2020-07-27 17:47:49
@FilePath: /d2l-zh/srcnn/model.py
"""
from mxnet.gluon import nn
from mxnet import initializer
class SrCnn(nn.Sequential):
def __init__(self, prefix=None, params=None):
sup... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9 on 2016-01-07 05:21
from __future__ import unicode_literals
from django.db import migrations
def create_system_financial_account(apps, schema_editor):
# We can't import the FinancialAccount model directly as it may be a newer
# version than this migration exp... |
# -*- coding: utf-8 -*-
"""Regression test for issue #49."""
from __future__ import unicode_literals
import unittest
import os.path
from xml.etree import ElementTree as ET
from statik.generator import generate
class TestForAdditionalPathSegmentInjection(unittest.TestCase):
def test_issue(self):
test_p... |
import datetime
from PySide2 import QtWidgets, QtGui, QtCore
import fseutil
from fseutil.etc.images_base64 import OFR_LOGO_1_PNG
from fseutil.etc.images_base64 import OFR_LOGO_2_PNG
from fseutil.gui.layout.main import Ui_MainWindow
from fseutil.gui.logic.dialog_0101_adb_datasheet_1 import Dialog as Dialog0101
from fs... |
from setuptools import setup
def readme():
with open('README.md') as f:
README = f.read()
return README
# This call to setup() does all the work
setup(
name="hdfs-lmdc",
version="2.0.7",
description="Esta biblioteca tem como objetivo generalizar funções da integração entre HDFS e Python ut... |
import random
from math import floor
def Generate(GUI):
h = GUI.COL
w = GUI.ROW
GUI.restatGrid()
GUI.paintGrid()
for i in range (0,w):
GUI.colorCase(0,i, "dimgray")
GUI.colorCase(h-1,i, "dimgray")
for i in range (0,h):
GUI.colorCase(i,0, "dimgray")
GUI.colorCas... |
import json
import random
import math
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torch.utils.data import Dataset, DataLoader, TensorDataset
from torch.utils.data.sampler import Subs... |
import csv
import io
from typing import IO, Optional, List, Tuple, Type
from .._functions import get_open_func
from ._CSVFile import CSVFile, DATA_TYPE, VALUE_TYPE, TYPES_TYPE
# Number of lines to sample to try and determine CSV format
SAMPLE_SIZE = 4
def loadf(filename: str,
encoding: str = 'utf-8',
... |
""" Test the automech CLI
"""
import os
import tempfile
import subprocess
from automechanic import fs
AUTOMECH_CMD = 'automech'
PATH = os.path.dirname(os.path.realpath(__file__))
HEPTANE_PATH = os.path.join(PATH, '../examples/heptane')
def test__help():
""" test `automech -h`
"""
subprocess.check_call([A... |
# -*- coding: utf-8 -*-
# python-holidays
# ---------------
# A fast, efficient Python library for generating country, province and state
# specific sets of holidays on the fly. It aims to make determining whether a
# specific date is a holiday as fast and flexible as possible.
#
# Authors: dr-prodigy <maurizio.... |
import os
import shutil
import subprocess
import argparse
import signal
import time
import datetime
from customized_timeout import TimeoutException,TimeoutError
proc_to_kill = {"PdrChc":"z3", "Cvc4Sy": "cvc4", "PdrAbc":"abc", "RelChc":"z3"}
TestSucc = \
[("GB",[("GBpdrchc","PdrChc"), ("GBcvc4sy","Cvc4Sy")])]
Tes... |
# Author: Michał Bednarek PUT Poznan
# Comment: Helper script for validating data created from the simulation
import pickle
import matplotlib.pyplot as plt
import numpy as np
# path = "./data/dataset/final_ds/real/real_train.pickle"
paths = ["./data/dataset/final_ds/real/real_train.pickle",
"./data/dataset/... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
https://leetcode.com/problems/perfect-squares/description/
Given a positive integer n, find the least number of perfect square numbers
(for example, 1, 4, 9, 16, ...) which sum to n.
For example, given n = 12, return 3 because 12 = 4 + 4 + 4; given n = 13,
return 2 be... |
import os
from ImageSimilarity import ImageSimilarity
from ReportFoto import ReportFoto
class ImageWorker:
def generate_reportfoto(self):
lista_foto_scaricate = self.get_path_files("photo_downloaded\\")
correttezza_logo = self.find_and_classify_logo(lista_foto_scaricate)
presenza_competi... |
# Copyright 2013-2021 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)
from spack import *
class RRodbc(RPackage):
"""An ODBC database interface."""
homepage = "https://cloud.r-proje... |
""" genjs constant database module
"""
import py
from pypy.rpython.ootypesystem import ootype
from pypy.translator.js.opcodes import opcodes
from pypy.translator.js.function import Function
from pypy.translator.js.log import log
from pypy.translator.js._class import Class
from pypy.translator.js.support import Javasc... |
'''
Linearly scale the expression range of one gene to be between 0 and 1.
If a reference dataset is provided, then the scaling of one gene in the
target dataset in done using the minimun and range of that gene in the
reference dataset.
'''
import sys
import argparse
sys.path.insert(0, 'Data_collection_processing/')
f... |
from flask import Flask
from flask_bootstrap import Bootstrap
app = Flask(__name__)
app.config.update(
TESTING=True,
DEBUG=True,
SECRET_KEY=b'_5#y2xwL"F4Q8z\n\xec]/'
)
bootstrap = Bootstrap(app)
from . import routes |
from __future__ import annotations
import tempfile
from pathlib import Path
from typing import Any
import cv2
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import typer
from kaggle_imaterialist2020_model.cmd.segment import main as segment
from PIL import Image
from segmentation.transforms imp... |
# -*- coding: utf-8 -*-
"""
@author: Adam Reinhold Von Fisher - https://www.linkedin.com/in/adamrvfisher/
"""
#This is a brute force optimizer for a short only, martingale style, volatility trading strategy
#that takes incrementally larger positions
#Import modules
import numpy as np
import random as ra... |
#!/usr/local/bin/python3
# contributor license agreements. See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the L... |
import unittest
def es_mayor_de_dad(edad):
if edad>=18 :
return True
else:
return False
class PruebaDeCristal(unittest.TestCase): #aca se hacn los tests
def test_es_mayor_de_edad(self):
edad = 20
resultado= es_mayor_de_dad(edad)
self.assertEqual(resultado,True)
... |
from django.db import models
class Parent(models.Model):
parent_field = models.CharField(max_length=100)
class Child(Parent):
child_field = models.CharField(max_length=100)
class Proxy(Parent):
class Meta:
proxy = True
class Related(models.Model):
parent = models.ForeignKey(Parent)
... |
import os
import unittest
from hamerkop.lang import *
def get_filename(filename):
return os.path.join(os.path.dirname(__file__), filename)
def read_file(filename):
with open(filename, 'r') as fp:
return fp.read()
def tokenize(string):
return string.split()
class LangTest(unittest.TestCase):
... |
try:
from celery.task import task
except ImportError:
from celery import shared_task as task
@task(bind=True)
def subscribe(self, email, newsletter_list_id, user_id=None, **kwargs):
from courriers.backends import get_backend
from courriers.models import NewsletterList
from courriers import signals... |
#!/usr/bin/python
# Filename: ex_global.py
x = 50
def func():
global x
print('x is ', x)
x = 2
print('Changed local x to ', x)
func()
print('Value of x is ', x)
|
import sys
from util.IO import IO
from util.Calendar import Calendar
def main():
queryObj = IO('ssmall')
print(queryObj.userName)
cal = Calendar(queryObj.userName)
cal.plotEvents()
cal.plotNext()
cal.plotPrevious()
if __name__ == '__main__':
sys.exit(main())
|
from django.urls import path
from . import views
app_name = "payment"
urlpatterns = [
path('orders/<str:order_id>/payment/', views.AlipayView.as_view()), # 获取支付宝支付链接
path('payment/status/', views.SavePaymentView.as_view()), # 保存支付宝支付结果视图
] |
'''
The file takes in an excel file and creates a csv file for searching
To-Do Create a dataframe for the excel for excel_match.py
'''
import pandas as pd
def excel_to_csv(excel_path):
excel = pd.read_excel(excel_path)
cols = ['Author', 'Title', 'Edition', 'Pub Place', 'Publisher', 'Date']
exc... |
import joswig_dijkstra as jd
import matplotlib.pyplot as plt
# import numpy as np
# Recursion depth
__depth__ = 10 # make sure the depth isn't too big, high enough accuracy will mess up the decimals
'''
******************
Function totalweight
******************
Given a weighted graph,
returns the sum of all constant... |
import queue
q=queue.PriorityQueue()
q.put(20)
q.put(10)
q.put(30)#[20,10,30]
q.get() #20
q.get() #10
#indexing with priority queue
qu=[]
qu.append((1,"Ashwin"))
qu.append((2,"Arjun"))
qu.append((3,"Hari"))
print(q)
#[(3,"Hari"),(2,"Arjun"),(3,"Ashwin"))]
|
"""
面试题 55（一）：二叉树的深度
题目：输入一棵二叉树的根结点，求该树的深度。从根结点到叶结点依次经过的
结点（含根、叶结点）形成树的一条路径，最长路径的长度为树的深度。
"""
class BSTNode:
"""docstring for BSTNode"""
def __init__(self, val):
self.val = val
self.left = None
self.right = None
def connect_bst_nodes(head: BSTNode, left: BSTNode, right: BSTNode) -> BS... |
import csv
import os
from functools import lru_cache
from typing import Iterable, List
def get_first_common_element(first: Iterable[str], second: Iterable[str]) -> str:
""" Get first common element from two lists.
Returns 'None' if there are no common elements.
"""
return next((item for item in first ... |
# Copyright (C) 2021 Nippon Telegraph and Telephone Corporation
# 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/LICE... |
# Copyright (c) 2006,2007 Mitch Garnaat http://garnaat.org/
#
# 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, modi... |
import os
import sys
import torch
from TorchProteinLibrary import FullAtomModel
import numpy as np
import unittest
import random
import math
from TorchProteinLibrary.Volume import VolumeConvolution
import _Volume
class TestVolumeConvolution(unittest.TestCase):
device = 'cuda'
dtype = torch.float
places = 5
batch_s... |
import argparse
import borg_verifier
import logging
import sys
logger = logging.getLogger(__name__)
def main():
parser = argparse.ArgumentParser()
parser.add_argument('pushgateway')
parser.add_argument('repos', nargs='+')
parser.add_argument('--auth_username', default=None)
parser.add_argument('-... |
from flask import render_template,redirect,url_for, flash,request
from flask_login import login_user,logout_user,login_required
from . import auth
from ..models import User
from .forms import LoginForm,RegistrationForm
from .. import db
from ..email import mail_message
# @auth.route('/signup',methods=['GET','POST'])
... |
from flask import Flask,jsonify
from flask_restplus import Api, fields, Resource
from pathlib import Path
from Gender_Classifier import retrainModel, normalize, name_encoding
import tensorflow as tf
import numpy as np
import csv
app = Flask(__name__)
api = Api(
app,
version='1.X',
title='Gender Classif... |
crc_table = (
0x0000, 0xC0C1, 0xC181, 0x0140, 0xC301, 0x03C0, 0x0280, 0xC241,
0xC601, 0x06C0, 0x0780, 0xC741, 0x0500, 0xC5C1, 0xC481, 0x0440,
0xCC01, 0x0CC0, 0x0D80, 0xCD41, 0x0F00, 0xCFC1, 0xCE81, 0x0E40,
0x0A00, 0xCAC1, 0xCB81, 0x0B40, 0xC901, 0x09C0, 0x0880, 0xC841,
0xD801, 0x18C0, 0x1980, 0xD941... |
# vim: tabstop=4 shiftwidth=4 softtabstop=4
# Copyright 2012 SINA Corp.
# 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/licen... |
#!/usr/bin/env python
"""
Copyright Gerald Kaszuba 2008
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distri... |
class Solution(object):
def singleNumber(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
# 00 for 0, 01 for 1, 11 for 2
one = 0
two = 0
for i in nums:
# 00 -> 01
temp1 = one | ~one & ~two & i
# 01 -> ... |
from collections import defaultdict
import operator
from .constants import LOG_LEVELS, LOG_TYPES, LOG_ROLES
def is_code_valid(code):
required_keys = {
"type": basestring,
"level": int,
"selectable_by": list,
"description": basestring,
"stops_timer": bool,
}
all_keys... |
# Copyright 2022, 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... |
import pytest
from co2_diag.formatters import numstr, my_round, \
tex_escape
def test_number_string_formatting_2decimals():
assert numstr(3.14159, decimalpoints=2) == '3.14'
def test_number_string_formatting_largenumber():
assert numstr(3141592.6534, decimalpoints=3) == '3,141,592.653'
def test_round... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import unittest
import logging
import sys
import xml.etree.ElementTree as ET
import fedora.rest.api as fra
from fedora.utils import sha1_for_file
from fedora.rest.ds import DatastreamProfile
test_file = "easy-file:219890"
test_dataset = "easy-dataset:5958"
... |
#!/usr/bin/env python3
from z3 import *
from graph_partitioning.Gralog import *
def graph2z3(g):
s = Solver()
global R
R = {}
global G
G = {}
global B
B = {}
for v in g.getVertices():
v = v.getId()
R[v] = Bool('R_%i' % v)
G[v] = Bool('G_%i' % v)
B[v]... |
"""
Rules for defining the branching logic in :class:`Choice` states.
`See Step Functions docs for more details.
<https://docs.aws.amazon.com/step-functions/latest/dg/amazon-states-language-choice-state.html#amazon-states-language-choice-state-rules>`_
"""
from datetime import datetime
from decimal import Decimal
fro... |
import re
from time import strftime
import RPi.GPIO as GPIO
import Adafruit_DHT
import time_converter
from dht import DHT
from lcd import HD44780
import urllib
import json
# Length
LEN_CLOCK = 5
LEN_TEMP = 6
LEN_HUMIDITY = 5
LEN_SEPARATOR = 1
LEN_TIME = 3
LEN_DESTINATION_NUMBER = 3
LEN_DESTINATION = 8
LEN_SPACE = 1... |
import fastapi
import ulid
import socket
from fastapi import Request
from pkg_resources import require
def get_ulid() -> str:
return ulid.new().str
def get_request_info(request: Request) -> str:
return request.client.host
def get_host_by_ip_address(ip_address: str) -> str:
return socke... |
# BEGIN_COPYRIGHT
#
# Copyright (C) 2015-2017 Open Microscopy Environment:
# - University of Dundee
# - CRS4
#
# 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/lice... |
from dictionarydb.language import get_language
def test_get_language():
assert get_language("deu") is not None
def test_get_invalid_language():
assert get_language("invalid") is None
|
#!/usr/bin/env python
"""
Utilities for running code: logging, timing/benchmarking.
Author: Johann Petrak
"""
import sys
import logging
import datetime
import time
logger = None
start = 0
def set_logger(args=None, name=None, file=None):
"""
Set up logger for the module "name". If file is given, log to that f... |
import json
import numpy as np
import time
from keras.models import Sequential, Model, model_from_json
from keras.layers import Input, Masking, Dense, Activation, Dropout,CuDNNLSTM, LSTM, Conv1D, Flatten, GlobalAveragePooling1D, BatchNormalization, MaxPool1D, AveragePooling1D, PReLU
from keras.optimizers import Adam, S... |
import logging
from datetime import datetime
import json
import core
from core import sqldb
from core.helpers import Url
from fuzzywuzzy import fuzz
logging = logging.getLogger(__name__)
class ScoreResults():
def __init__(self):
self.sql = sqldb.SQL()
return
# returns list of dictionary re... |
import math
import torch
def compute_reward(monitor_interval):
"""
Get an Estimate of the throughput of the network
using on the last few packets (the lag)
"""
loss = len(monitor_interval.ack)/len(monitor_interval.sent)
latency = sum(monitor_interval.rtts)/len(monitor_interval.rtts)
######... |
from abc import ABC, abstractmethod
from collections import defaultdict, deque
from curses import qiflush
import json
import pickle
from queue import Queue
import random
import time
from typing import Tuple
from astar_py.constants import WallPlacement
from astar_py.node import Node
class Maze:
def __init__(self,... |
"""
http://cs-people.bu.edu/sbargal/Fall%202016/lecture_notes/Nov_3_3d_geometry_representation
https://en.wikipedia.org/wiki/Quadratic_form
https://en.wikipedia.org/wiki/Conic_section
https://en.wikipedia.org/wiki/Matrix_representation_of_conic_sections
"""
import numpy as np
from sympy import *
def print_implicit(... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
import os
import argparse
import shutil
import sys
from subprocess import call
def run_cmd(command):
try:
call(command, shell=True)
except KeyboardInterrupt:
print("Process interrupted")
sys.exit(1)
if __name__ =... |
# -*- coding: utf-8 -*-
from django.contrib.auth.mixins import LoginRequiredMixin
from django.views.generic.base import ContextMixin
from django.views.generic import ListView, CreateView, DetailView, UpdateView, DeleteView
from dictionaries.models import Category
from django.core.urlresolvers import reverse_lazy
from d... |
"""Simple AES interface via command line."""
from ._version import get_versions
__version__ = get_versions()["version"]
del get_versions
|
def dig(num):
return int(str(num))
a, b = map(int, input().split())
mult = 1
if b - a > 4:
print(0)
else:
for i in range(b-a):
mult *= dig(b-i)
print(str(mult)[-1])
|
#!/usr/bin/env python
#
# Copyright (c) 2015, Arista Networks, 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:
# - Redistributions of source code must retain the above copyright notice,
# ... |
#!/usr/bin/env python3
# Copyright 2019 Johannes von Oswald
#
# 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... |
import io
import os
import tempfile
import pytest
from dagger import DeserializationError, Serializer
from dagger_contrib.serializer.path.as_tar import AsTar
SUPPORTED_COMPRESSION_MODES = [
None,
"gzip",
"xz",
"bz2",
]
def test__conforms_to_protocol():
with tempfile.TemporaryDirectory() as tmp:... |
import pytest
import os, sys
import pickle
from tensorflow.keras import losses
sys.path.insert(0, os.path.abspath('..'))
sys.path.insert(1, os.getcwd())
os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
import tensorflow as tf
from tensorflow.keras.losses import Huber
from deepts.models import TCN
from deepts.metrics import ... |
import pymysql
import models
import random
import queue
from util import СircleCollection, RandomData
from faker import Faker
from db_logic import MySQLConnector
class Generator:
"""Генерация данных"""
CURRENT_CLIENT_ID = 1
CURRENT_ORDER_ID = 1
CURRENT_PRODUCT_ID = 1
CURRENT_BOOKING_ID = 1
C... |
#!/usr/bin/env python
"""The setup script."""
from setuptools import find_packages, setup
with open('README.md') as readme_file:
readme = readme_file.read()
with open('HISTORY.rst') as history_file:
history = history_file.read()
with open('requirements.txt') as requirements_file:
requirements = require... |
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