content stringlengths 0 894k | type stringclasses 2
values |
|---|---|
def palindrome(number):
return number == number[::-1]
if __name__ == '__main__':
init = int(input())
number = init + 1
while not palindrome(str(number)):
number += 1
print(number - init) | python |
import unittest
from bdflib import reader
import charset
class JISTest(unittest.TestCase):
def test_jis(self):
with open('bdf/jiskan24-2003-1.bdf', 'rb') as f:
bdf = reader.read_bdf(f)
cconv = charset.JIS()
single_cp = 0
multi_cp = 0
for cp in bdf.codepoints(... | python |
"""
This is the main program file for the DDASM assembler. It will read a DDA program file and convert it to a VHDL \
description of a ROM file. This ROM file serves as the program memory for the LDD mark II processor.
DDASM = Digital Design Assmebly
LDD = Lab Digital Design
Digital Design refers to the Digital Design ... | python |
# 短信验证码 过期时间
SMS_CODE_EXPIRETIME = 300
# 手机号码在redis中的过期时间,解决短时间内 向同一手机号重复发送短信 的问题
MOBILE_EXPIRETIME = 60
# 标识某一属性在 redis 中的使用次数,解决类似于抽奖次数的问题
MOBILE_FREQUENCY = 1
| python |
import os
import threading
from cheroot import wsgi
from wsgidav.wsgidav_app import WsgiDAVApp
from powerhub.directories import WEBDAV_RO, WEBDAV_BLACKHOLE, \
UPLOAD_DIR, WEBDAV_DIR
from powerhub.args import args
import time
from watchdog.observers import Observer
from watchdog.events import FileSystemEventHand... | python |
#!/usr/bin/env python3
import os
import time
import subprocess
import shutil
import datetime
import tempfile
def main():
TMPROOT = r'/Volumes/RAM Disk'
REPO = r"/Volumes/RAM Disk/redis/"
SIT_BIN = r"/Users/abcdabcd987/Developer/sit/bin/sit"
report = open('stress_test_%s.csv' % datetime.datetime.today()... | python |
# #####################################################################################################################
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved. #
# ... | python |
from vstutils.models import BQuerySet, BModel, Manager, models
class HostQuerySet(BQuerySet):
def test_filter(self):
return self.filter(name__startswith='test_')
class Host(BModel):
objects = Manager.from_queryset(HostQuerySet)()
name = models.CharField(max_length=1024)
class HostGroup(BModel)... | python |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
import mptt.fields
class Migration(migrations.Migration):
dependencies = [
('publication_backbone', '0006_auto_20160224_1345'),
('fluent_contents', '0001_initial'),
]
operations = [
... | python |
import time
import pygame
from pygame.locals import *
# The individual event object that is returned
# This serves as a proxy to pygame's event object
# and the key field is one of the strings in the button list listed below
# in the InputManager's constructor
# This comment is actually longer than the class defin... | python |
from interface import GameWindow
from PyQt5.QtWidgets import QApplication
import sys
if __name__ == "__main__":
app = QApplication(sys.argv)
demo = GameWindow()
demo.update()
demo.showMaximized()
sys.exit(app.exec_())
| python |
# Okta intel module - Group
import json
import logging
from typing import Dict
from typing import List
from typing import Tuple
import neo4j
from okta.framework.ApiClient import ApiClient
from okta.framework.OktaError import OktaError
from okta.framework.PagedResults import PagedResults
from okta.models.usergroup impo... | python |
import time
import requests
from models.states import OrderSide
class DeribitExchangeInterface:
def __init__(self, key, secret, base_url, api_url, instrument):
self.key = key
self.secret = secret
self.base_url = base_url
self.api_url = api_url
self.url = base_url + api_url
... | python |
import numpy as np
import matplotlib.pyplot as plt
import matplotlib.animation as animation
DT = 0.01
FRAMERATE = 60
N_ROWS = 64
SECONDS = 10
def read_field_file(file_path, type):
if type != 'scalar' and type != 'vector':
raise ValueError('type must be scalar or vector')
file_str = open(file_path, 'r... | python |
import requests
from abc import ABC, abstractmethod
from collections import OrderedDict
from coronacli.config import OWID_DATA_URL
class BaseScraper(ABC):
""" Abstract scraper class defining common functionality among all scrapers and abstract methods to implement """
def __init__(self):
super().__... | python |
from __future__ import print_function
import collections
import os
os.environ["CUDA_DEVICE_ORDER"]="PCI_BUS_ID"
# The GPU id to use, usually either "0" or "1"
os.environ["CUDA_VISIBLE_DEVICES"]="3"
import tensorflow as tf
from keras.models import Sequential, load_model
from keras.utils import multi_gpu_model
from kera... | python |
from gym_trading.envs.trading_env import TradingEnv
from gym_trading.envs.Testing_Env import TestingEnv
| python |
import unittest
import numpy as np
from materialscoord.einstein_crystal_perturbation import perturb_einstein_crystal
from pymatgen.core.structure import Structure
class EinsteinTest(unittest.TestCase):
"""Test einstein perturbation functionality."""
def test_perturb(self):
# basic test to check str... | python |
class Config(object):
DEBUG = False
TESTING = False
class DevConfig(Config):
DEBUG = False
| python |
class MyPolynomialDecay:
"""
Class to define a Polynomial Decay for the learning rate
"""
def __init__(self, max_epochs=100, init_lr=1e-3, power=1.0):
"""
Class constructor.
:param max_epochs (int): Max number of epochs
:param init_lr (float): Initial Learning Rate
... | python |
import tensorflow as tf
from niftynet.application.base_application import BaseApplication
from niftynet.engine.application_factory import \
ApplicationNetFactory, InitializerFactory, OptimiserFactory
from niftynet.engine.application_variables import \
CONSOLE, NETWORK_OUTPUT, TF_SUMMARIES
from niftynet.engine.... | python |
import numpy as np
import os
import tensorflow as tf
from tensorflow.contrib.framework import nest
def loop_tf(loop_fn, inputs, persistent_initializer, transient_initializer, n=None, time_major=False):
def create_tensor_array(initial_tensor: tf.Tensor):
return tf.TensorArray(initial_tensor.dtype, size=n, ... | python |
# import to namespace
from .base import IRRBase # noqa
from .native import IRRClient # noqa
| python |
# Generated by Django 3.1.1 on 2020-09-19 21:11
from django.db import migrations, models
class Migration(migrations.Migration):
initial = True
dependencies = [
]
operations = [
migrations.CreateModel(
name='Contact',
fields=[
('id', models.AutoField(... | python |
import numpy as np
import tensorflow as tf
from .utils import *
class Graph2Gauss:
"""
Implementation of the method proposed in the paper:
'Deep Gaussian Embedding of Graphs: Unsupervised Inductive Learning via Ranking'
by Aleksandar Bojchevski and Stephan Günnemann,
published at the 6th Internati... | python |
# Copyright (C) 2005, Giovanni Bajo
# Based on previous work under copyright (c) 2002 McMillan Enterprises, Inc.
#
# This program is free software; you can redistribute it and/or
# modify it under the terms of the GNU General Public License
# as published by the Free Software Foundation; either version 2
# of the Licen... | python |
from django.test import TestCase
from django.contrib.auth import get_user_model
from django.urls import reverse
from rest_framework.test import APIClient
from rest_framework import status
from core.models import User
from .utils import create_user
CREATE_USER_URL = reverse('api:user_create')
ME_URL = reverse('api:u... | python |
import os
import shutil
import sys
import argparse
import time
import itertools
import numpy as np
import torch
import torch.nn as nn
import matplotlib.pyplot as plt
import torch.optim as optim
import torch.nn.functional as F
from sklearn.metrics import confusion_matrix
import scikitplot as skplt
from torch.backends i... | python |
from sh import gmkproject
from sh import gchproject
from sh import gchuser
from sh import glusers
from sh import gstatement
from cloudmesh.accounting.AccountingBaseClass import AccountingBaseClass
class GoldAccounting(AccountingBaseClass):
"""The gold accounting implementation class"""
def project_usage(se... | python |
from django.db import models
from django.dispatch import receiver
from django.db.models.signals import post_save
from django.contrib.auth.models import User
from rest_framework.authtoken.models import Token
# Create your models here.
@receiver(post_save, Sender = User)
def create_auth_token(sender, instance=None, cre... | python |
# This file is part of the GhostDriver project from Neustar inc.
#
# Copyright (c) 2012, Ivan De Marino <ivan.de.marino@gmail.com / detronizator@gmail.com>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without modification,
# are permitted provided that the following conditions a... | python |
# doit automatically picks up tasks as long as their unqualified name is prefixed with task_.
# Read the guide: https://pydoit.org/tasks.html
from dodos.action import *
from dodos.behavior import *
from dodos.benchbase import *
from dodos.ci import *
from dodos.forecast import *
from dodos.noisepage import *
from dodo... | python |
C_CONST = 0.375
MC_ITERATION_COUNT = 100
D_MAX = 100 | python |
from typing import Tuple
from NewDeclarationInQueue.processfiles.customprocess.search_lines_in_pages import SearchLinesInPage
from NewDeclarationInQueue.processfiles.customprocess.search_text_line_parameter import SearchTextLineParameter
from NewDeclarationInQueue.processfiles.process_messages import ProcessMessages... | python |
# Generated from Mu.g4 by ANTLR 4.7.1
# encoding: utf-8
from antlr4 import *
from io import StringIO
from typing.io import TextIO
import sys
def serializedATN():
with StringIO() as buf:
buf.write("\3\u608b\ua72a\u8133\ub9ed\u417c\u3be7\u7786\u5964\3&")
buf.write("\u0082\4\2\t\2\4\3\t\3\4\4\t\4\4\5\... | python |
import numpy as np
from tensorflow.examples.tutorials.mnist import input_data
import json
with open('config.json') as config_file:
config = json.load(config_file)
k = config['k']
codes_path = config['codes_path']
codes = []
for i in range(k):
codes.append([float(i)/(k-1)*255])
codes = np.array(codes)
print('#... | python |
# Check dla a module w a set of extension directories.
# An extension directory should contain a Setup file
# oraz one albo more .o files albo a lib.a file.
zaimportuj os
zaimportuj parsesetup
def checkextensions(unknown, extensions):
files = []
modules = []
edict = {}
dla e w extensions:
setu... | python |
"""A basic focus script for slitviewers
(changes will be required for gcam and instruments).
Subclass for more functionality.
Take a series of exposures at different focus positions to estimate best focus.
Note:
- The script runs in two phases:
1) If a slitviewer:
Move the boresight and take an exposure. T... | python |
passages = {
'The Money Beat (Drumming)' : """Let me tell you how you can play the money beat on your drums. To get this beat going start with one part at a time. This way you can part your mind, and feel the groove a lot better. With you hi hat, play constant eight notes. We will add in some accents in the future,... | python |
from django.db import models
from django.contrib.auth.models import AbstractUser
from django_countries.fields import CountryField
# Create your models here.
class Degree(models.Model):
degree_id = models.CharField(max_length=9, verbose_name='Degree ID', primary_key=True)
degree = models.CharField(max_length=20... | python |
from setuptools import setup
import os
def read(fname):
return open(os.path.join(os.path.dirname(__file__), fname)).read()
setup(
name="fastly-python",
version="1.0.4",
author="Chris Zacharias",
author_email="chris@imgix.com",
description=("A Python client libary for the Fastly API."),
license="BSD",
keywords... | python |
#!/usr/bin/env python3
"""Utility class for logging. This class is a wrapper around the original
logging module :py:mod:`logging` and can be used to apply the
`panda_autograsp <https://github.com/rickstaa/panda_autograsp>`_
formatters, filters and handlers to the logging object.
"""
# Make script both python2 and pyth... | python |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi Terraform Bridge (tfgen) Tool. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import... | python |
"""Test AdsConnection class.
:author: Stefan Lehmann <stlm@posteo.de>
:license: MIT, see license file or https://opensource.org/licenses/MIT
:created on: 2018-06-11 18:15:58
"""
import time
import unittest
import pyads
import struct
from pyads.testserver import AdsTestServer, AmsPacket
from pyads import constants
fr... | python |
# coding: utf-8
"""
Unit tests for the args module.
"""
import argparse
from datetime import datetime
import pytest
from ..src.args import parse_date, parse_args, parse_file_arg
def test_parse_date_invalid():
"""Ensure that invalid dates fail to parse."""
with pytest.raises(argparse.ArgumentTypeError, match... | python |
from vk_bot.core.modules.basicplug import BasicPlug
class Texttobits(BasicPlug):
doc = "Зашифровать сообщение в бинарный код"
command = ("бинарный0",)
def main(self):
text = ' '.join(self.text[1:])
bits = bin(int.from_bytes(text.encode('utf-8', 'surrogatepass'), 'big'))[2:]
encode = ... | python |
import torch
import numpy as np
class ReplayBuffer(object):
def __init__(self, buffer_mem, num_states, num_actions):
self.switch = 0
self.buffer_mem = buffer_mem
self.count_mem = 0
self.num_states = num_states
self.num_actions = num_actions
self.state = t... | python |
import torch
import torch.nn as nn
import torch.nn.functional as F
import zipfile
import numpy as np
class BaseModel(nn.Module):
def __init__(self, args, vocab, tag_size):
super(BaseModel, self).__init__()
self.args = args
self.vocab = vocab
self.tag_size = tag_size
def save(se... | python |
# -*- coding: utf-8 -*-
"""
Created on Mon Nov 25 18:28:27 2019
@author: Arthur
"""
pass | python |
from .preprocess import *
from . import preprocess_utils
from .epipolarloss import *
from .kploss import * | python |
import csv
import sys
import urllib3 as ulib
import pandas as pd
import datetime
from bs4 import BeautifulSoup as bs
ulib.disable_warnings()
try:
#Create csv file only with column headers
columnNames = ['CompanyName','Year','Ergebnis je Aktie (unverwaessert, nach Steuern)','Ergebnis je Aktie (verwaessert, nach... | python |
import os
import numpy as np
import argparse
from sklearn.model_selection import StratifiedKFold
#from data.image_folder import make_dataset
#from tensorflow.keras.preprocessing.image import ImageDataGenerator
import tensorflow as tf
import json
import pandas as pd
import numpy as np
import os, sys
import glob
import... | python |
# Return some system information
# Because the universe will never have enough scripts that do this
# It's only going to work on fairly recent *NIX platforms
import os, socket
uname_ = os.uname()
system = uname_[0]
host = socket.gethostname()
kernel = uname_[2]
release = uname_[3]
processor = uname_[4]
| python |
## Copyright 2004-2007 Virtutech AB
##
## The contents herein are Source Code which are a subset of Licensed
## Software pursuant to the terms of the Virtutech Simics Software
## License Agreement (the "Agreement"), and are being distributed under
## the Agreement. You should have received a copy of the Agreem... | python |
import numpy as np
from sklearn.ensemble import RandomForestRegressor
from sklearn.externals import joblib
sgids = joblib.load('sgids.pkl')
sgdiv = joblib.load('data/sg_div_tr_ns.pkl')
params = joblib.load('params.pkl')
dt = dict.fromkeys(sgids)
sgid = sgids[0]
for i, sgid in enumerate(sgids):
print(f'{sgid} ({i... | python |
#-*-coding utf-8 -*-
#Affine Transformation
import numpy as np
import cv2
from matplotlib import pyplot as plt
img=cv2.imread('resimler/sudoku.png')
rows,cols,ch=img.shape
pts1 = np.float32([[50,50],[200,50],[50,200]])
pts2=np.float32([[10,100],[200,50],[100,250]])
M = cv2.getAffineTransform(pts1,pts2)
... | python |
# /usr/bin/env python3
# -*- coding: utf-8 -*-
"""
This file contains the implementation to the HTTP server that serves
the web API for the Serial port.
"""
import logging
import threading
import typing as t
import flask
import flask_restful
import waitress
from flask_cors import CORS
from . import connection # fo... | python |
"""
Version information for PyBioMed, created during installation.
Do not add this file to the repository.
"""
import datetime
version = '1.0'
date = 'Nov 7 9:17:16 2016'
dev = False
# Format: (name, major, min, revision)
version_info = ('PyBioMed', '1', '0', None)
# Format: a 'datetime.datetime' instance
date_i... | python |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
import requests
import os
import zipfile
import urllib
import dirconfig
import logging
from autobuild import autobuild,git_pull
import commands
import os
from githubdownload import GithubDownload
from repositories import repositories
from ziptool import ZipTool
logging.basi... | python |
"""
Unit test for LocalProcessMemoryConsumption measurement.
"""
import os
import time
import pytest
import threading
import subprocess
from mlte._private.platform import is_windows, is_nix
from mlte.measurement.memory import LocalProcessMemoryConsumption
from mlte.measurement.memory.local_process_memory_consumption ... | python |
from .emonet import EmoNetPredictor
__version__ = '0.1.0'
| python |
"""Utilities for building command-line interfaces for your daemons"""
import inspect
from functools import wraps
import click
from .core import Daemon
from .helpers import MultiDaemon
def _parse_cli_options(func):
"""Parse click options from a function signature"""
options = []
for param in inspect.sig... | python |
"""This module provide multiple test of ingestion services"""
import logging
from conftest import ValueStorage
import time
from server_automation.configuration import config
from server_automation.functions import executors
from server_automation.postgress import postgress_adapter
_log = logging.getLogger("server_auto... | python |
import jax
from absl import app
from absl import flags
flags.DEFINE_string('server_addr', '', help='server ip addr')
flags.DEFINE_integer('num_hosts', 1, help='num of hosts' )
flags.DEFINE_integer('host_idx', 0, help='index of current host' )
FLAGS = flags.FLAGS
def main(argv):
jax.distributed.initialize(FLAGS.ser... | python |
"""
This script prepares the files that populate the databases, such as adding headers
to them and removing a couple of noun phrases that do not belong there.
"""
def prepare_data(file):
"""
Prepares the argument file for SQL insertion
"""
with open(file, 'r', encoding='utf-8') as infile:
inf... | python |
#
# This file is part of Brazil Data Cube Validation Tools.
# Copyright (C) 2020 INPE.
#
# Python Native
import os
import time
import sys
# 3rdparty
import gdal
import numpy as np
def diff_sum_abs(image_path1,image_path2, output_folder):
'''
documentar para sair automaticamente
'''
# get o stk de banda... | python |
from django import forms
class LoginForm(forms.Form):
email = forms.EmailField(required = True, error_messages = {"required": "邮箱不能为空"})
password = forms.CharField(required = True, min_length = 6, max_length = 20, error_messages={
"min_length": "密码应该大于等于6个字符",
"max_length": "密码应该小于等于20个字符",
})
class Registe... | python |
'''
This code is for head detection for PAN.
'''
import torch
import torch.nn as nn
import math
__all__ = ['PA_Head']
class PA_Head(nn.Module):
def __init__(self, in_channels, hidden_dim, num_classes):
super(PA_Head, self).__init__()
self.conv1 = nn.Conv2d(in_channels, hidden_dim, kernel_size=3, s... | python |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
#
# Copyright 2011 Google 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... | python |
import os
BASE_DIR = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
SECRET_KEY = "0xdeadbeefdeadbeef"
DEBUG = True
INSTALLED_APPS = [
"django_jsonfield_backport",
"tests",
]
DATABASES = {
"default": {
"ENGINE": "django.db.backends.%s" % os.getenv("DB_BACKEND"),
"NAME": os.get... | python |
# Given a linked list which might contain a loop, implement an algorithm that returns the node at the beginning of the loop (if one exists)
from utils import Node
first_node = Node(1)
second_node = Node(2)
third_node = Node(3)
fourth_node = Node(4)
fifth_node = Node(5)
sixth_node = Node(6)
# Visual [1, 2, 3, 4, 5, ... | python |
#!/usr/bin/env python
# Plots Sigmoid vs. Probit.
import matplotlib.pyplot as pl
import numpy as np
from scipy.special import expit
from scipy.stats import norm
x = np.arange(-6, 6, 0.1)
l = np.sqrt(np.pi/8);
pl.plot(x, expit(x), 'r-', label='sigmoid')
pl.plot(x, norm.cdf(l*x), 'b--', label='probit')
pl.axis([-6, ... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import sys
from PySide6 import QtCore, QtWidgets
class MyWidget(QtWidgets.QWidget):
def __init__(self):
super().__init__()
self.text = QtWidgets.QLabel("Hello World", alignment=QtCore.Qt.AlignCenter)
self.layout = QtWidgets.QVBoxLayout(self)... | python |
# Author: Bohua Zhan
import unittest
from kernel.type import boolT, TVar, TFun
from kernel.term import Term, Var
from kernel.thm import Thm
from kernel.proof import ProofItem
from logic.proofterm import ProofTerm, ProofTermAtom
from logic import basic
from logic.logic import conj, disj, mk_if
from logic.nat import na... | python |
# -*- coding: utf-8 -*- #
# Copyright 2021 Google 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 requir... | python |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Sep 27 18:11:58 2021
@author: TSAI, TUNG-CHEN
@update: 2021/10/05
"""
import numpy as np
from .nn import get_network
from .utils import get_inputs, print_prediction
# =============================================================================
#
# =... | python |
"""Mock callback module to support device and state testing."""
import logging
_LOGGER = logging.getLogger(__name__)
# pylint: disable=unused-argument
# pylint: disable=too-many-instance-attributes
class MockCallbacks():
"""Mock callback class to support device and state testing."""
def __init__(self):
... | python |
# This file will grab the hashes from the file generation and compare them to
# hashes gotten from user-given files. Can return positive (files that do match)
# or negative (files that don't match) hash results
import argparse
import os
import sys
from file_object import FileObject
def log_and_print(log_file... | python |
'''
Get the hottest news title on baidu page,
then save these data into mysql
'''
import datetime
import pymysql
from pyquery import PyQuery as pq
import requests
from requests.exceptions import ConnectionError
URL = 'https://www.baidu.com/s?wd=%E7%83%AD%E7%82%B9'
headers = {
'User-Agent':'Mozilla/5.0 (Windows NT... | python |
'''1. 游戏编程：按以下要求定义一个乌龟类和鱼类并尝试编写游戏。
（初学者不一定可以完整实现，但请务必先自己动手，你会从中学习到很多知识的^_^）
假设游戏场景为范围（x, y）为0<=x<=10，0<=y<=10
游戏生成1只乌龟和10条鱼
它们的移动方向均随机
乌龟的最大移动能力是2（Ta可以随机选择1还是2移动），鱼儿的最大移动能力是1
当移动到场景边缘，自动向反方向移动
乌龟初始化体力为100（上限）
乌龟每移动一次，体力消耗1
当乌龟和鱼坐标重叠，乌龟吃掉鱼，乌龟体力增加20
鱼暂不计算体力
当乌龟体力值为0（挂掉）或者鱼儿的数量为0游戏结束
'''
import random... | python |
salario = float(input('Qual é o salário do Funcionário? R$'))
aumentoSalario = salario + (salario * (5 / 100))
print(f'Um funcionário que ganhava R${salario:.2f}, com 15% de aumento, passa a receber R${aumentoSalario:.2f}') | python |
import bs4 # type: ignore[import]
from .activity import _parse_subtitles, _parse_caption, _is_location_api_link
# bring into scope
from .comment import test_parse_html_comment_file # noqa: F401
from .html_time_utils import test_parse_dt # noqa: F401
def bs4_div(html: str) -> bs4.element.Tag:
tag = bs4.Beauti... | python |
from __future__ import print_function
from __future__ import unicode_literals
from __future__ import division
from __future__ import absolute_import
import unittest
import pytest
from builtins import open
from future import standard_library
#standard_library.install_aliases()
from builtins import *
from freezegun imp... | python |
from PIL import ImageGrab
from PIL import BmpImagePlugin
from aip import AipOcr
from win10toast import ToastNotifier
import sys, os
import keyboard
import time, datetime
import random
from os import path
from multiprocessing.dummy import Pool as ThreadPool
PIC_DIR = r"C:\Users\hytian3019\Pictures\ocr"
#百度云账号设置
APP_... | python |
"""
targetstateinfidelity.py - This module defines a cost function that
penalizes the infidelity of an evolved state and a target state.
"""
import autograd.numpy as anp
import numpy as np
from qoc.models import Cost
from qoc.standard.functions import conjugate_transpose
class TargetStateInfidelity(Cost):
"""
... | python |
#Micro codes for checking the Pandas
# Read CSV in chunks
data_read = pd.read_csv('Filename.csv',chunksize=x,encoding = "any encoding format for eg :ISO-8859-1")
data = pd.concat(data_read,ignore_index=True)
# Split the dataframe based on the numeric and categorical values
# Numeric Split
clean... | python |
import numpy as np
import tensorflow as tf
class Weights:
def __init__(self, initializer, depth):
self.initializer = initializer
self.depth = depth
def __call__(self, num_inputs, num_outputs):
x = tf.Variable(self.initializer(shape=(num_inputs, self.depth)))
y = tf.Variable(... | python |
#!/usr/bin/env python3
# ============================================================================================= #
# Distributed dynamic map fusion via federated learning for intelligent networked vehicles, #
# 2021 International Conference on Robotics and Automation (ICRA) #
# ... | python |
import argparse
import csv
import torch
import torch.nn as nn
import torch.nn.functional as F
#from models.gatedconv import InpaintGCNet, InpaintDirciminator
from models.sa_gan import InpaintSANet, InpaintSADirciminator
from models.loss import SNDisLoss, SNGenLoss, ReconLoss
from data.inpaint_dataset import InpaintData... | python |
from flask import Flask,jsonify,request
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import Column,Integer,Float,String
import os
from flask_marshmallow import Marshmallow
from flask_jwt_extended import JWTManager,jwt_required,create_access_token
from flask_mail import Mail,Message
app=Flask(__name__)
based... | python |
# -*- coding: utf-8 -*-
import numpy as np
from math import factorial, exp, trunc
from linear_congruential_generator import LinearCongruentialGenerator
lcg = LinearCongruentialGenerator()
def poisson(lambda_value, random_number):
return round(((lambda_value ** random_number) * (np.e ** (-lambda_value))) / factor... | python |
import rclpy
from rclpy.node import Node
import numpy as np
from .handeye_4dof import Calibrator4DOF, robot_pose_selector
from .handeye_4dof import transformations as tf
from geometry_msgs.msg import PoseArray
from geometry_msgs.msg import Pose
from std_srvs.srv import Empty
from ament_index_python.packages import g... | python |
# Copyright 2018 Amazon.com, Inc. or its affiliates. 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.
# A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in ... | python |
from __future__ import unicode_literals
import os
import json
from functools import wraps
from datetime import datetime, date
from contextlib import contextmanager
from threading import RLock, Condition, current_thread
from collections import Sized, Iterable, Mapping, defaultdict
def is_listy(x):
"""
returns ... | python |
"""
Copyright (c) 2020 COTOBA DESIGN, Inc.
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, distri... | python |
from dataclasses import dataclass, field
import backtrader as bt
from models.Analyzers.CustomReturns import CustomReturns_analyzer
from models.Analyzers.ReturnsVolatility import ReturnsVolatility_analyzer
from models.Analyzers.TradesInfo import TradesInfo_analyzer
from models.Analyzers.CalmarRatio import CalmarRatio_a... | python |
def unorder_search(item, items: list):
if not isinstance(items, list):
print(f'The items {items} MUST be of type list')
return
for i in range(0, len(items)):
if item == items[i]:
return i
return None
data = [87, 47, 23, 53, 20, 56, 6, 19, 8, 41]
print(unorder_search... | python |
# -*- coding: utf-8 -*-
import re
from xkeysnail.transform import *
define_keymap(lambda wm_class: wm_class != 'Gnome-terminal', {
K('LSuper-V'): K('C-V'),
K('LSuper-X'): K('C-X'),
K('LSuper-C'): K('C-C'),
K('LSuper-A'): K('C-A')
}, 'non-terminal')
define_keymap(re.compile('Gnome-terminal'), {
K(... | python |
# -*- coding: utf-8 -*-
"""
Created on Thu Apr 2 14:24:56 2020
@author: rucha
"""
import pandas as pd
import numpy as np
from sklearn.naive_bayes import MultinomialNB
from sklearn.model_selection import train_test_split, cross_val_score
from sklearn.metrics import confusion_matrix, accuracy_score, classification_rep... | python |
from django.contrib import admin
from django import forms
from django.db import models
from django.utils.translation import ugettext as _
from medicament.models import *
class GroupAdmin(admin.ModelAdmin):
fieldsets = [(None, {'fields': ['name', 'adverse_reaction']})]
list_display = ('name', 'adverse_reactio... | python |
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