text stringlengths 3.07k 12.6k |
|---|
"""
"""
import numpy as np
from robot_localisation.grid import Heading
from numpy.random import random_sample
from robot_localisation.grid import *
from enum import IntEnum
class Robot:
"""
Representation of the actual robot.
"""
def __init__(self, grid, transition_matrix):
"""
The ... |
import pandas as pd
def subset_grm(grm, grm_indiv, target_indiv):
set_target_indiv = set(target_indiv)
isin = np.array([ g in set_target_indiv for g in grm_indiv ])
grm = grm[:, isin][isin, :]
grm_indiv = list(np.array(grm_indiv)[isin])
return grm, grm_indiv
def subset_y(df, indiv):
df_indiv =... |
################################################################################
# atd.py - The Unix at scheduler in Python ################## py2k version 0.1 #
################################################################################
# `at` is a command line utility, like cron, that schedules commands to be ru... |
import xlrd
import datetime
import math
from .base import TableParser
class WorkbookParser(TableParser):
workbook = None
worksheet = None
sheet_name = 0
start_row = None
column_count = None
no_pickle_parser = ['workbook', 'worksheet']
binary = True
date_format = 'yyyy-mm-dd'
time_... |
'''Visualization of the filters of VGG16, via gradient ascent in input space.
This script can run on CPU in a few minutes (with the TensorFlow backend).
Results example: http://i.imgur.com/4nj4KjN.jpg
'''
from __future__ import print_function
from scipy.misc import imsave
import numpy as np
import time
from keras.appl... |
# Original work Copyright 2017 Palantir Technologies, Inc. (MIT)
# Original work Copyright 2020 Open Law Library. (Apache 2)
# See ThirdPartyNotices.txt in the project root for license information.
# All modifications Copyright (c) Robocorp Technologies Inc.
# All rights reserved.
#
# Licensed under the Apache License,... |
import netket as nk
import networkx as nx
import numpy as np
import pytest
operators = {}
# Ising 1D
g = nk.graph.Hypercube(length=20, n_dim=1, pbc=True)
hi = nk.hilbert.Spin(s=0.5, graph=g)
operators["Ising 1D"] = nk.operator.Ising(h=1.321, hilbert=hi)
# Heisenberg 1D
g = nk.graph.Hypercube(length=20, n_dim=1, pbc... |
"""TODO(DAGW): Add a description here."""
import os
import datasets
from datasets.utils import metadata
import ndjson
from .licenses import *
_CITATION = """\
@inproceedings{dagw,
title = {{The Danish Gigaword Corpus}},
author = {<NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME> and <NAME>... |
import numpy as np
import tensorflow as tf
from tqdm import trange
import tensorflow.contrib.slim as slim
from flearn.utils.model_utils import batch_data, gen_batch
from flearn.utils.tf_utils import graph_size
from flearn.utils.tf_utils import process_grad
trunc_normal = lambda stddev: tf.truncated_normal_initializer... |
import pandas as pd
import numpy as np
from _datetime import datetime
class AttendanceSystem:
def __init__(self, path_to_internal_employees_file, path_to_attendance_log):
self.clock = Clock(path_to_internal_employees_file, path_to_attendance_log)
# add method - read csv, write csv
self.rep... |
from typing import *
import os
import json
import torch
from torch.utils.data import Dataset, DataLoader
from torch.nn.utils.rnn import pad_sequence, pack_padded_sequence, pad_packed_sequence
import tqdm
def load_data(folder: str, fname: str) -> List[Dict]:
"""
Loads the data in a suitable format.
Args:
... |
# -*- coding: utf-8 -*-
"""
Copyright (c) 2020 MeteoSwiss, contributors of the original matlab version of the code listed in
ORIGINAL_AUTHORS.
Copyright (c) 2020 MeteoSwiss, contributors of the Python version of the code listed in AUTHORS.
Distributed under the terms of the BSD 3-Clause License.
SPDX-License-Identifi... |
# -*- coding: utf-8 -*
import unittest
from bianalyzer.abstracts import download_abstracts, IEEEKeywordDownloader, DLTermType
from bianalyzer import BianalyzerText
from bianalyzer.keywords import extract_keywords_via_textrank, extract_keywords_via_frequency
from bianalyzer.relevance import construct_similarity_matrix,... |
#!/usr/bin/env python
# coding=utf-8
"""
@author: <NAME>
@create time: 1970-01-01 08:00
@edit time: 2020-05-10 10:29
@FilePath: /expdf/tests/test_pdfnode.py
@desc: 测试Graph模块是否正常工作
"""
from expdf.pdfnode import PDFNode, LocalPDFNode
import json
class TestPDFNode:
def setup(self):
PDFNode.clear_nodes()
... |
from dateutil.relativedelta import relativedelta
from django.db import models
from django.db.models import Func, F
from django.db.models.functions import Substr, Lower
from django.utils import timezone
from lib import fields
from accounts.models import User
from mailer.signals import allocation_created_from_request
c... |
import math
def f_to_s(v):
return'{0:.5f}'.format(float(v))
def list_to_array(vals):
return '{}'.format(','.join([f_to_s(v) for v in vals]))
class URScript(object):
def __init__(self):
self.text = ''
# Starts inside of a function
self.indent_level = 0
def add_line(self, text):
#print('add_l... |
from __future__ import print_function
import numpy as np
import tensorflow as tf
from tensorflow.contrib import rnn
import random
import collections
import time
start_time = time.time()
def elapsed(sec):
if sec<60:
return str(sec) + " sec"
elif sec<(60*60):
return str(sec/60) + " min"
else:
return str(sec/(6... |
# -*- coding: utf-8 -*-
"""
This software is licensed under the License (MIT) located at
https://github.com/ephreal/rollbot/Licence
Please see the license for any restrictions or rights granted to you by the
License.
"""
import asyncio
import unittest
from classes.dice_rolling import shadowrun_rolling as sr
from cla... |
import random
from config.board_config import BoardConfig
import logging
logging.basicConfig(
level=logging.INFO,
format='%(asctime)s | %(name)s | %(levelname)s | %(message)s')
logger = logging.getLogger(__name__)
def generate_new_shape() -> tuple[int, list[int], list[int]]:
"""Generate new shape
... |
# Copyright Amazon.com, Inc. or its affiliates. All Rights Reserved.
# SPDX-License-Identifier: MIT-0
import sys
from datetime import datetime
import boto3
from pyspark.context import SparkContext
def get_catalog_table(glue_client, db_name, table_name):
try:
return glue_client.get_table(DatabaseName=db_... |
# -*- coding: utf-8 -*-
import os
import sys
import types
import errno
from shutil import copy2
from future.utils import raise_from
from django.utils import (six, translation)
from django.conf import settings
from django.conf.urls import include as include_urls
from django.http import HttpResponse
from django.tem... |
import json
import datetime
import os
import time
from threading import Lock
from multiprocessing.pool import ThreadPool
from collections import defaultdict
import requests
from pyhmy.util import (
json_load,
datetime_format
)
from .common import (
Loggers,
get_config,
)
def live_info(accounts, inte... |
__source__ = 'https://leetcode.com/problems/self-crossing/'
# https://github.com/kamyu104/LeetCode/blob/master/Python/self-crossing.py
# Time: O(n)
# Space: O(1)
#
# Description: Leetcode # 335. Self Crossing
#
# You are given an array x of n positive numbers.
# You start at point (0,0) and moves x[0] metres to the no... |
import sys
import os
if sys.platform != "win32":
raise OSError("movefile-restart module is only supported on Windows systems!")
import winreg
_registry = winreg.ConnectRegistry(None, winreg.HKEY_LOCAL_MACHINE)
def __get_current_values():
"""Get Values.
Internal function to get the current values stored... |
import torch.utils.data as data
import numpy as np
import os
import pickle
import h5py
import json
from PIL import Image
from utils.directory import check_exists
from scipy.misc import imread, imresize
import datasets.preprocess as preprocess
class Namespace:
def __init__(self, **kwargs):
self.__dict__.upd... |
"""
This module contains utils for manipulating target configurations such as
compiler flags.
"""
from types import MappingProxyType
from numba.core import utils
class Option:
"""An option to be used in ``TargetConfig``.
"""
__slots__ = "_type", "_default", "_doc"
def __init__(self, type, *, default... |
#!/usr/bin/env python
import argparse
import inspect
import pprint
import sys
import time
import unittest
from idpmodem.atcommand_thread import get_modem_thread, IdpModemBusy, AtException, AtCrcConfigError, AtCrcError, AtTimeout
DEFAULT_PORT = '/dev/ttyUSB1'
class IdpModemTestCase(unittest.TestCase):
@classme... |
import numpy as np
import os
from scratchai.DataLoader.ImageLoader import ImageLoader
from . import color_code as colors
from PIL import Image
import glob
import torchvision
from torch.utils.data import DataLoader
import matplotlib.pyplot as plt
import matplotlib.gridspec as gridspec
import torchvision.transforms as tr... |
# -*- coding: utf-8 -*-
# @Time : 2019-12-23 15:24
# @Author : yingyuankai
# @Email : <EMAIL>
# @File : glue_zh.py
"""DuReader."""
__all__ = [
"Ccfbdci2020"
]
import os
import six
import logging
import json
import tensorflow as tf
import tensorflow_datasets as tfds
from aispace.datasets import BaseData... |
# Copyright 2020 Adap GmbH. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or ag... |
#!/usr/bin/env python
#
# June 2 2021, <NAME> <<EMAIL>>
#
# Copyright (c) 2021, LabN Consulting, L.L.C.
# Copyright (c) 2019-2020 by
# <NAME> <<EMAIL>>
#
# Permission to use, copy, modify, and/or distribute this software
# for any purpose with or without fee is hereby granted, provided
# that the above copyright notice... |
import datetime
import logging
from time import sleep
from ceph.parallel import parallel
from tests.iscsi.iscsi_utils import IscsiUtils
log = logging
def run(**kw):
log.info("Running test")
ceph_nodes = kw.get('ceph_nodes')
test_data = kw.get('test_data')
iscsi_util = IscsiUtils(ceph_nodes)
iscs... |
__all__ = ["CBProMarketBBO", "timer"]
__author__ = "<NAME>"
import websocket
import time
import logging
import urllib.request
import json
import math
import functools
from typing import Dict, List, Callable
URL_WS = "wss://ws-feed.pro.coinbase.com/"
URL_PRODUCTS = "https://api.pro.coinbase.com/products"
URL_USER_AGE... |
# Copyright 2017 FUJITSU LIMITED
#
# 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 writ... |
# Copyright 2021 The NPLinker 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 or agreed to in... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import numpy as np
import pandas as pd
class TwitterData_Initialize():
data = []
processed_data = []
wordlist = []
data_model = None
data_labels = None
is_testing = False
def initialize(self, csv_file, is_testing_set=False, from_cached=None):... |
#!/usr/bin/env python
import sys
START_ADDR_SEG = 2
# converts ld65 map file to da65 info file
if len(sys.argv) < 2:
print("USAGE: map2info.py <map file> [vice label file [debug info]]")
sys.exit(1)
items = open(sys.argv[1], "r").readlines()
def read_chunk(items):
chunk = []
while len(items) > 0:
... |
#!usr/bin/python
import assign_window
def match_window(g_dic, left, right, strand):
genes= g_dic.keys()
proximity=[]
for g in genes:
left_g = int(g_dic[g][0])
right_g = int(g_dic[g][1])
if( right-left < right_g-left_g ):
##window is smaller than gene
if( (left_g-200 < left) and (right_g+200 > right) an... |
# Import the Runway SDK. Please install it first with
# `pip install runway-python`.
import runway
from runway.data_types import category, image, number, boolean
import numpy as np
import tensorflow as tf
from PIL import Image
# from example_model import ExampleModel
import lucid.modelzoo.vision_models as models
from ... |
# Copyright 2021 The SmallPebble authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applic... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# File : cs.py
# Author : <NAME>
# Email : <EMAIL>
# Date : 01/22/2018
#
# This file is part of Jacinle.
# Distributed under terms of the MIT license.
import collections
import contextlib
import queue
import threading
import zmq
from jacinle.concurrency.packing im... |
import logging
from datetime import datetime
from flask import Flask, render_template, request
from DAL import user_dal
import math
import re
import pytz
def manage_user():
try:
action = request.form['action']
if not action:
return list_user()
if action == 'delete':
... |
# Keyboard Synchronization
import arachnoid as ara
#import win32api, win32con
from pynput import keyboard
import os, sys
print('PID: {}'.format(ara.get_pid()))
IP_ADDR = '192.168.1.94'#'43.33'
PORT_NUMBER = 5555
#KB_LAYOUT = win32api.GetKeyboardLayout()
'''
def get_key_strokes(from_=0, to=250):
return l... |
#!/usr/bin/env python
'''
Synthesizes a logic proposition using a user-specified set of
opcodes.
TODO: Integrate a SAT/SMT solver to perform synthesis, rather
then using brute-force.
'''
from typing import List, Callable, Dict, Optional, Tuple
from itertools import product
class Opcode:
def __init__(self, num_... |
from multiprocessing import Process, Queue, Event
import os
import baselines.common.tf_util as U
import time
from mpi4py import MPI
from baselines.common import set_global_seeds
import tensorflow as tf
import numpy as np
def traj_segment_function(env, pol, gamma, task_horizon, feature_fun, batch_size):
'''
Col... |
# This code is part of Qiskit.
#
# (C) Copyright IBM 2021.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/licenses/LICENSE-2.0.
#
# Any modifications or derivative wo... |
import numpy as np
import math, os, cv2
def get_bg_from_image(dimensions, image_path):
WIDTH, HEIGHT = dimensions
img = cv2.imread(image_path, cv2.IMREAD_COLOR)
# Convert the image from RGB2RGBA
if len(img.shape) > 2 and img.shape[2] == 3:
img = cv2.cvtColor(img, cv2.COLOR_BGR2BGRA)
retur... |
r""":mod:`mirgecom.thermochemistry` provides a wrapper class for :mod:`pyrometheus`..
.. autofunction:: make_pyrometheus_mechanism_class
.. autofunction:: make_pyrometheus_mechanism
"""
__copyright__ = """
Copyright (C) 2021 University of Illinois Board of Trustees
"""
__license__ = """
Permission is hereby granted,... |
from datetime import datetime
from django.conf import settings
from mongoengine.queryset import transform, Q
from rest_framework import fields
from happ.utils import date_to_string
from .fields import DateTime000Field, ListField, RangeField, GeoPointField, ObjectIdField
COMPARISION_OPERATORS = ('ne', 'gt', 'gte', ... |
import pathlib
import sys
import re
import time
import threading
from PyQt5.QtCore import Qt
import main_func
from PyQt5 import QtWidgets, QtCore, QtGui
from PyQt5.QtWidgets import QTableWidgetItem, QFileDialog, QDialog, QPushButton, QLabel
from qt_view import Ui_MainWindow
class MainWindow(QtWidgets.QMainWindow):
... |
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 8 16:10:22 2019
@author: a.sijaria
"""
from selenium import webdriver
from bs4 import BeautifulSoup
import pandas as pd
import time
import chromedriver_binary
import sys,os
def get_reviews(app_id,language = 'en',country= 'IN'):
chrome_options = webdriver.ChromeO... |
# @singleton
from abc import abstractmethod
from collections import Counter
import numpy as np
from mlib.boot import log
from mlib.boot.stream import concat, listmap, make2d, objarray
from mlib.fig.makefigslib import MakeFigsBackend
from mlib.math import isreal
from mlib.wolf.bar import bar
from mlib.wolf.line import... |
import re
import tiles
# REGEXs for global/clock signals
# Globals
global_entry_re = re.compile(r'R\d+C\d+_VPRX(\d){2}00')
global_left_right_re = re.compile(r'R\d+C\d+_HPSX(\d){2}00')
global_up_down_re = re.compile(r'R\d+C\d+_VPTX(\d){2}00')
global_branch_re = re.compile(r'R\d+C\d+_HPBX(\d){2}00')
# High Fanout Seco... |
#!/usr/bin/python3
# <NAME>:
import json
import sys
TERM = 'jmp', 'br', 'ret'
# From Lesson 2
def form_blocks(body):
cur_block = []
for inst in body:
if 'op' in inst:
cur_block.append(inst)
# check for term
if inst['op'] in TERM:
yield cur_block
... |
# -*- coding: utf-8 -*-
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
... |
"""Calculate repeater fraction over time for various rate distributions."""
from copy import deepcopy
from matplotlib.lines import Line2D
import matplotlib.pyplot as plt
import numpy as np
from frbpoppy import CosmicPopulation, Survey, SurveyPopulation, merge_pop
from frbpoppy import log10normal, hist, clustered
from... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
import os
import shutil
import datetime
from subprocess import Popen, PIPE
import trackmac.config
def generate_plist(install_base_dir):
"""
generate a plist file under current folder
"""
cur_dir = os.path.abspath(os.path.dirname(__file__... |
# -*- coding: utf-8 -*-
# Part of Odoo. See LICENSE file for full copyright and licensing details.
from datetime import timedelta
from odoo import api, fields, models
from odoo.tools.safe_eval import safe_eval
class ProjectTaskType(models.Model):
_inherit = 'project.task.type'
def _default_domain_rating_t... |
"""
OpenWRT/luci Telnet-based tracker.
Tested on a Zyxel NBG6604 which has luci but lacks the RPC module or a
possibility to install it in order to use https://www.home-assistant.io/integrations/luci/
"""
import logging
import re
from collections import namedtuple
from datetime import timedelta
import telnetlib
impor... |
# Copyright 2015 The Chromium Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import logging
from google.appengine.ext import ndb
from components import metrics
from components import utils
import gae_ts_mon
import config
import mod... |
from sklearn.datasets import load_boston
from sklearn.model_selection import train_test_split
import random
import numpy as np
import torch
import torch.autograd as py
class DataLoader():
def __init__(self, data_file):
super(DataLoader, self).__init__()
self.data_file = data_file
self.load_... |
"""
An encoder sequence is used to produce a sequence of ratios
with respect to the original input length consisting of
a_0, a_1, a_2, etc, where a_0 is equal to different lengths,
and a_f is global
"""
from typing import List
import torch
from torch import nn
from Utility.Torch import Learnables
from Utility.Torch... |
import logging
import argparse
import json
import os
from evaluation.hotpotqa_evaluate_v1 import normalize_answer
from util.args_help import file_list
logger = logging.getLogger(__name__)
logging.basicConfig(format='%(filename)s:%(lineno)d - %(message)s',
datefmt='%m/%d/%Y %H:%M:%S',
... |
# -*- coding: utf-8 -*-
############################################################################
#
# Copyright © 2015 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 dis... |
# -*- coding: utf-8 -*-
# @Time : 6/21/2020 2:55 PM
# @Author : <NAME>
# @FileName: crawl_xinloupan.py
# @Software: PyCharm
# @Github : https://github.com/w4356y/House_price.git
from bs4 import BeautifulSoup
import re
import requests
from parsel import Selector
import pandas as pd
import time
from datetime import... |
#!/usr/bin/env python3
import asyncio
import base64
import json
import os
from typing import Any, Dict, List, Union
import numpy as np
from fastapi import APIRouter, Body, FastAPI, Request, WebSocket
from fastapi.encoders import jsonable_encoder
from fastapi.responses import HTMLResponse, JSONResponse
from fastapi.sta... |
import cv2
import numpy as np
from skimage.measure import compare_ssim as ssim
def get_mse_psnr(x, y):
if x.ndim == 4:
mse_list = []
psnr_list = []
data_len = len(x)
for k in range(data_len):
img = x[k]
ref = y[k]
mse = np.mean((img - ref) ** 2)
... |
#! usr/bin/env/ python3
"""Parser for CLI user options"""
import argparse
import getpass
import os
import sys
from choppy.version import VERSION
# ------------------------------------------------------------------------------
def confirm_directory(subdir):
if os.path.exists(subdir):
if not os.path.isdir... |
import multiprocessing
import os
import subprocess
# This is a helper function that allows to run a bash command in a separate process
def execute_command(cmd):
return subprocess.call(cmd, shell=True)
def TestDimensions(problem_dim,space_dim=2,element_dim=2):
# cast dimensions if not already strings
prob... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from scvi.dataloaders import DataSplitter
from scvi.model._utils import parse_use_gpu_arg
from scvi.dataloaders._ann_dataloader import AnnDataLoader
from scvi import settings
from typing import Optional, Union
from anndata import AnnData
from scvi.n... |
from functools import partial
import torch
import gym.spaces as spaces
from torch.nn import functional as F
from rlberry.agents.utils.memories import ReplayMemory
from rlberry.exploration_tools.uncertainty_estimator import UncertaintyEstimator
from rlberry.exploration_tools.typing import preprocess_args
from rlberry.... |
import argparse
import random
from typing import List, Tuple
from skimage.draw import polygon
from skimage.metrics import normalized_root_mse
from deap import base, creator, tools, algorithms
from PIL import Image
import numpy as np
import multiprocessing
import pickle
from pathlib import Path
from tqdm.auto import ... |
#! $PATH/python
# -*- coding: utf-8 -*-
# file name: nfexample.py
# author: lianghy
# time: 2019/8/30 17:37:14
"""本文件使用暖风工具描述一个电路模块。"""
import sys
import numpy as np
import logging as lg
sys.path.append("C:\\Users\\l110084\\lhy\\work\\nuanfeng\\project_nf")
from nuanfeng.nffunc import *
from nuanfeng.util import *
... |
from ml.optimizer import GradientDescentOptimizer
from ml.graph import graph_function_and_data
from ml.error import Error
import matplotlib.pyplot as plt
from math import *
from inspect import signature
import pickle
class Regression:
def __init__(self, func, loss_function='MSE'):
"""
Creates a ne... |
# -*- coding: utf-8 -*-
from macros import export_macros
from macros import import_macros
from discovery_rules import export_discovery_rules
from discovery_rules import import_discovery_rules
from actions import export_actions
from actions import import_actions
import logging, json
EXPORT_KEYS = [
'templates',
... |
import os
import random
import cv2
import numpy as np
import torch
import torch.nn as nn
import torchvision.transforms as transforms
from torch.utils.data import Dataset
from .data_argument import custom_aug
import matplotlib.pyplot as plt
def random_random(v=0.5):
if random.random() > 0.5:
return Tr... |
from datetime import timedelta, time
from itertools import groupby
import time as _time
from dateutil.relativedelta import relativedelta, MO
import pytz
import itertools
class Period(object):
@property
def delta(self):
return self._delta
@property
def start_at_key(self):
return "_%s_... |
# -*- coding: utf-8 -*-
"""
flask_raven.resource
~~~~~~~~~~~~~~~~~~~~
:copyright: (c) 2014 <NAME>
:license: Artistic 2.0
"""
from datetime import datetime
from flask import request
from Crypto.Hash.SHA import SHA1Hash
from Crypto.PublicKey import RSA
from Crypto.Signature import PKCS1_v1_5
from .er... |
# coding=utf-8
"""Parser for ClassScript"""
from typing import cast, Union
import os
from modelscript.base.grammars import (
ASTNodeSourceIssue)
from modelscript.base.issues import (
Levels)
from modelscript.base.exceptions import (
UnexpectedCase)
from modelscript.metamodels.demo import (
DemoModel,
... |
from __future__ import print_function
import sys
sys.path.insert(
1, 'C:/Users/seand/OneDrive/Documents/University/Autonomous Drone Navigation/Implementation/AirSimAPI')
import time
import numpy as np
import cv2
from tensorflow import keras
import tensorflow as tf
from numpy.lib.function_base import average
import ... |
"""Lambda Function Source Code
Adheres to Smart Home Skill V3 API
Responds to discovery and control requests
"""
# Import AWS SDK and set up client
import uuid
import time
import boto3
import json
client = boto3.client('iot')
client_data = boto3.client('iot-data')
# Main Lambda handler
# First function invoked when... |
# This file is a part of the AnyBlok / Postgres api project
#
# Copyright (C) 2018 <NAME> <<EMAIL>>
# Copyright (C) 2018 <NAME> <<EMAIL>>
#
# 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:... |
import argparse
import configparser
import os
from configparser import ConfigParser
from google.oauth2.credentials import Credentials
from model.events import GoogleCalendarEvents
class Configurations:
def __init__(self, config: ConfigParser):
self._owm_token = config.get('API_KEYS', 'OWM', fallback='')... |
#!/usr/bin/python
# -*- coding: utf-8 -*-
# 圆周避障
import RPi.GPIO as GPIO
import time
PWMA = 18
AIN1 = 22
AIN2 = 27
PWMB = 23
BIN1 = 25
BIN2 = 24
trigger = 20
echo = 21
def init():
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
GPIO.setup(AIN2, GPIO.OUT)
GPIO.setup(AIN1, GPIO.OUT)
GPIO.setup(PW... |
import random as aleas
import matplotlib.pyplot as plt
from scipy.signal import freqz
import numpy as np
"""
random : pour generer des nombres aleatoires
matplotlib.pyplot : pour generer des graphiques et gerer leur construction
scipy.signal : pour avoir le TF de l'autocorrelation
numpy : pour im... |
import io
import os
import re
from torchtext.data import Field, NestedField
import torchtext.data as data
from torchtext.data.dataset import Dataset
from torchtext.data.example import Example
from typing import Iterable
from torch.nn.utils.rnn import pack_padded_sequence, pad_packed_sequence
PAD_TOKEN = '<pad>'
START... |
from discord import Embed, Member, Color
from discord.ext import commands
from requests import get
from datetime import datetime
from sqlite3 import connect
from os import environ
class Chat(commands.Cog, name='Chat'):
"""
Utilisable par tout le monde et rassemble toutes les commandes un peu random.
"""
... |
import time
from abc import ABCMeta
from datetime import datetime
from typing import Sequence, Mapping
import torch
import torch.nn as nn
from torch.utils.tensorboard import SummaryWriter
from hhutil.io import fmt_path, time_now
from horch.common import CUDA, convert_tensor as c_convert_tensor
from horch.train.base ... |
#!/usr/bin/env python3
#title : model_selection.py
#description : Contains methods that perform the actual model selection.
#author : <NAME>
#date : 2015.06.21
#version : 0.1
#usage : python model_selection.py
#===============================================================... |
#!/usr/bin/env python2.5
# encoding: utf-8
"""
cleaneval.py v1.0
Simple and fast evaluation of CleanEval-1 tasks (precision, recall, F-score).
"""
import sys
import os
import string
import re
from math import *
from difflib import SequenceMatcher
from getopt import getopt, GetoptError
help_message = '''
This is clean... |
import virtualbox
import os
import time
import threading
import logging
logging.basicConfig(level=logging.DEBUG,
format='(%(threadName)-10s) %(message)s',)
class Sandbox(object):
def __init__(self, name):
vbox = virtualbox.VirtualBox()
self.vm = vbox.find_machine(name)
... |
# Copyright 2022 <NAME>
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software
#... |
import wx
from wx import aui
from wx.aui import EVT_AUITOOLBAR_TOOL_DROPDOWN
from meerk40t.kernel import lookup_listener
ID_ADD_FILE = wx.NewId()
ID_OPEN = wx.NewId()
ID_SAVE = wx.NewId()
ID_JOB = wx.NewId()
ID_SIM = wx.NewId()
ID_NOTES = wx.NewId()
ID_CONSOLE = wx.NewId()
ID_RASTER = wx.NewId()
_ = wx.GetTranslatio... |
from twisted.protocols.basic import LineReceiver
from twisted.internet import reactor, protocol
from twisted.internet.task import LoopingCall
from xsbs.settings import PluginConfig
from xsbs.events import triggerServerEvent, eventHandler
from xsbs.net import ipLongToString
import sbserver
import time
import logging
... |
import torch.nn as nn
import torch.nn.functional as F
from torch.optim import SGD
import torch as t
from scipy import constants
import numpy as np
import pandas as pd
from pyhdx.models import Protein
class DeltaGFit(nn.Module):
def __init__(self, deltaG):
super(DeltaGFit, self).__init__()
self.del... |
import numpy
import pytest
from numpy import cos, pi, sin
import quadpy
def test_simple():
val, _ = quadpy.line_segment.integrate_adaptive(sin, [0.0, pi], 1.0e-10)
exact = 2.0
assert abs(exact - val) < 1.0e-10
val, _ = quadpy.line_segment.integrate_adaptive(
lambda x: x * sin(x), [0.0, pi], ... |
import logging
import pathlib
import json
import sys
from converterpy.adapter import ConverterTextAdapter
from converterpy.converter import Converter
from converterpy.cli import Cli
from converterpy.exception import SuitableConverterNotFoundException, MultipleSuitableConverterException
from converterpy.provider.built... |
import os
import numpy as np
import matplotlib.pyplot as plt
from cellsync.detect_peaks import *
import itertools
import matplotlib.colors as colors
import matplotlib.cm as cmx
from mpl_toolkits.axes_grid1 import make_axes_locatable
def find_sync(d, metadata, corr,regions_ch2, labels, cell_position, sync_time=1,
... |
# -*- coding: utf-8 -*-
"""
@author: <NAME>
@contact: <EMAIL>
@description: IO management library.
"""
# DEPENDENCIES =================================================================
from datetime import datetime
import numpy as np
import os, sys, tempfile
from time import time
import warnings
from pygpseq import ... |
from vrepdemo.vrep_env import vrep_env
import os
import gym
from gym import spaces
from gym.utils import seeding
import numpy as np
vrep_scenes_path = '/home/ubuntu/pytorch-a2c-ppo-acktr/vrepdemo/scenes'
RAD2DEG = 180/np.pi
class TwoLinkBall2VrepEnv(vrep_env.VrepEnv):
metadata = {'render.modes': [],}
def _... |
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