text stringlengths 3.07k 22.1k |
|---|
from struct import unpack_from, calcsize
LOG_GNSS_POSITION_REPORT = 0x1476
LOG_GNSS_GPS_MEASUREMENT_REPORT = 0x1477
LOG_GNSS_CLOCK_REPORT = 0x1478
LOG_GNSS_GLONASS_MEASUREMENT_REPORT = 0x1480
LOG_GNSS_BDS_MEASUREMENT_REPORT = 0x1756
LOG_GNSS_GAL_MEASUREMENT_REPORT = 0x1886
LOG_GNSS_OEMDRE_MEASUREMENT_REPORT = 0x14DE
... |
#!/usr/bin/env python
# Copyright (c) 2013-2015, Rethink Robotics
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
#
# 1. Redistributions of source code must retain the above copyright notice,
# ... |
#!/usr/bin/env python
#########################################################################################
#
# Apply transformations. This function is a wrapper for sct_WarpImageMultiTransform
#
# ---------------------------------------------------------------------------------------
# Copyright (c) 2014 Polytechn... |
import logging
import sys
from django.core.exceptions import ValidationError
from django.db import models
from django.db.models.fields.related import ForeignObject
from django.utils.encoding import python_2_unicode_compatible
try:
from django.db.models.fields.related_descriptors import ForwardManyToOneDescriptor
... |
from abc import ABC, abstractmethod
from typing import Optional
from xml import dom
import numpy as np
import pandas as pd
from .utils import get_factors_rev
def calc_plot_size(domain_x, domain_y, plot_goal, house_goal):
f1 = sorted(get_factors_rev(domain_x))
f2 = sorted(get_factors_rev(domain_y))
plot_... |
import os
from pathlib import Path
from typing import Any, Dict
from determined.common import util
MASTER_SCHEME = "http"
MASTER_IP = "localhost"
MASTER_PORT = "8080"
DET_VERSION = None
DEFAULT_MAX_WAIT_SECS = 1800
MAX_TASK_SCHEDULED_SECS = 30
MAX_TRIAL_BUILD_SECS = 90
DEFAULT_TF1_CPU_IMAGE = "determinedai/environm... |
import contextlib
import logging
import typing
from typing import Any, Dict, Tuple
import attr
from dbnd._core.configuration import get_dbnd_project_config
from dbnd._core.constants import (
RESULT_PARAM,
DbndTargetOperationStatus,
DbndTargetOperationType,
TaskRunState,
)
from dbnd._core.current impo... |
from serial import Serial
from tqdm import tqdm
import binascii
import hashlib
import struct
import time
import sys
import os
def if_read(ser, data_len):
data = bytearray(0)
received = 0
while received < data_len:
tmp = ser.read(data_len - received)
if len(tmp) == 0:
... |
#!/usr/bin/python3
import os
import json
import re
import ast
import json
from graphviz import Digraph
import pandas as pd
# color the graph
import graph_tool.all as gt
import copy
import matplotlib.colors as mcolors
import sys
import utils
from tompkins.ilp import schedule, jobs_when_where
from collections import d... |
#
# Copyright (c) 2016 <NAME> <<EMAIL>>
#
# 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, ... |
'''
Copyright 2017 Dell Inc. or its subsidiaries. All Rights Reserved.
This script tests arbitrary payload of the RackHD API 2.0 OS bootstrap workflows.
The default case is running a minimum payload Windows OS install.
Other Windows-type OS install cases can be specified by creating a payload file and specifiying it u... |
"""Constants file for Supervisor."""
from enum import Enum
from ipaddress import ip_network
from pathlib import Path
SUPERVISOR_VERSION = "DEV"
URL_HASSIO_ADDONS = "https://github.com/home-assistant/addons"
URL_HASSIO_APPARMOR = "https://version.home-assistant.io/apparmor.txt"
URL_HASSIO_VERSION = "https://version.ho... |
#!/usr/bin/env python3
"""
script for calculating gc skew
<NAME>
<EMAIL>
"""
# python modules
import os
import sys
import argparse
import numpy as np
from scipy import signal
from itertools import cycle, product
# plotting modules
from matplotlib import use as mplUse
mplUse('Agg')
import matplotlib.pyplot as plt
fr... |
"""Core experiments for the dependency label prediction task."""
import collections
import copy
import logging
from typing import (Any, Dict, Iterator, Optional, Sequence, Set, Tuple, Type,
Union)
from ldp import datasets, learning
from ldp.models import probes, projections
from ldp.parse import pt... |
"""A module for deserializing data to Python objects."""
# pylint: disable=unidiomatic-typecheck
# pylint: disable=protected-access
# pylint: disable=too-many-branches
# pylint: disable=wildcard-import
import enum
import functools
import typing
from typing import Any, Callable, Dict, List, Optional, Union
from deser... |
"""
Copyright (c) 2018-2022 Intel Corporation
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 wri... |
import chainer
import chainer.functions
from chainer.utils import type_check
from chainer import cuda
from chainer import function
import numpy as np
#from chainer import function_node
from utils import clip_grad
#class MixtureDensityNetworkFunction(function_node.FunctionNode):
class MixtureDensityNetworkFunction(fu... |
# coding=utf-8
# Copyright 2018 The Tensor2Tensor 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... |
import numpy as np
import cv2
import os.path as osp
import json
from human_body_prior.tools.model_loader import load_vposer
import torch
vposer_ckpt = '/Vol1/dbstore/datasets/a.vakhitov/projects/pykinect_fresh/smplify-x/smplify-x-data/vposer_v1_0/'
def load_avakhitov_fits_vposer(vposer, part_path, dev_lbl):
po... |
from __future__ import absolute_import
import abc
import os
import json
import glob
import shutil
from tensorflow.python.estimator import gc
from tensorflow.python.estimator import util
from tensorflow.python.estimator.canned import metric_keys
from tensorflow.python.framework import errors_impl
from tensorflow.pytho... |
from flask import Flask, render_template, request, redirect, jsonify, g
from flask import url_for, flash, make_response
from flask import session as login_session
from sqlalchemy import create_engine, asc
from sqlalchemy.orm import sessionmaker
from models import Base, Category, Item, User
from oauth2client.client impo... |
#!/usr/bin/env python3
# Copyright (c) Facebook, Inc. and its affiliates. All rights reserved.
import itertools
import logging
import numpy as np
import scipy as sp
import torch
from ml.rl.evaluation.cpe import CpeEstimate
from ml.rl.evaluation.evaluation_data_page import EvaluationDataPage
logger = logging.getLogg... |
# -*- coding: utf-8 -*-
import json
import os.path
import random
import re
from flask import Flask, send_from_directory
from flask import request, abort
from flaskrun.flaskrun import flask_run
import datab.social_database as db
app = Flask(__name__)
# Regular expression to only accept certain files
fileChecker = r... |
"""
Copyright (c) 2020 Aiven Ltd
See LICENSE for details
"""
from astacus.common import magic, utils
from astacus.common.ipc import SnapshotFile, SnapshotHash, SnapshotState
from astacus.common.progress import increase_worth_reporting, Progress
from pathlib import Path
from typing import Optional
import base64
impo... |
# Copyright (c) Facebook, Inc. and its affiliates.
from typing import List, Optional, cast
# Skipping analyzing 'numpy': found module but no type hints or library stubs
import numpy as np # type: ignore
import numpy.ma as ma # type: ignore
# Skipping analyzing 'pandas': found module but no type hints or library stu... |
'''
Asynchronous data loader
========================
This is the Asynchronous Loader. You can use it to load an image
and use it, even if data are not yet available. You must specify a default
loading image for using a such loader::
from kivy import *
image = Loader.image('mysprite.png')
You can also load i... |
import os
import logging.config
from random import randint
import zlib
import struct
import socket
import time
from PIL import Image
import config
# from config import ADB_ROOT, ADB_HOST, SCREEN_SHOOT_SAVE_PATH, ShellColor, CONFIG_PATH,enable_adb_host_auto_detect, ADB_SERVER
from .ADBClientSession import ADBClientSes... |
from __future__ import absolute_import, division, print_function
from builtins import (bytes, str, open, super, range,
zip, round, input, int, pow, object, map, zip)
__author__ = "<NAME>"
import numpy as np
from astropy import wcs
from bokeh.layouts import row, widgetbox,gridplot
from bokeh... |
from enum import IntEnum
from .Mesh import BoneWeights4, SubMesh, VertexData
from .NamedObject import NamedObject
from .PPtr import PPtr, save_ptr
from ..export import SpriteHelper
from ..enums import SpriteMeshType
from ..streams import EndianBinaryWriter
class Sprite(NamedObject):
@property
def image(self)... |
# Copyright 2015 The LUCI Authors. All rights reserved.
# Use of this source code is governed under the Apache License, Version 2.0
# that can be found in the LICENSE file.
"""Messages for the Machine Provider API."""
# pylint: disable=unused-wildcard-import, wildcard-import
from protorpc import messages
from compo... |
# Copyright (c) 2012 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 base64
import json
import os
import re
import shutil
import zlib
from StringIO import StringIO
try:
# Create a block to work around evil sys.m... |
# Copyright 2018 <NAME> LLC, <<EMAIL>>
#
# 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 i... |
import token
from tokenize import tokenize
from brownie import Contract, chain
from brownie.exceptions import ContractNotFound
from cachetools.func import ttl_cache
from .utils.cache import memory
from .utils.multicall2 import fetch_multicall
from .interfaces.ERC20 import ERC20ABI
import ypricemagic.magic
import yprice... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Module that contains the command line app.
Why does this file exist, and why not put this in __main__?
You might be tempted to import things from __main__ later, but that will cause
problems: the code will get executed twice:
- When you run `python -m nibetaser... |
#!/usr/bin/env python
import os
import os.path
import yaml
import time
import random
import multiprocessing
import RPi.GPIO as GPIO
from talk import say
GPIO.setwarnings(False)
GPIO.setmode(GPIO.BCM)
from adafruit_servokit import ServoKit
Motor1 = {'EN': 27, 'input1': 19, 'input2': 16}
Motor2 = {'EN': 22, 'input1': 2... |
# Copyright 2016 Intel Corporation
# Copyright 2017 Wind River
# 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 applica... |
# Copyright (c) 2016 Ansible, Inc.
# All Rights Reserved.
from collections import OrderedDict
# Django
from django.core.exceptions import PermissionDenied
from django.db.models.fields import PositiveIntegerField, BooleanField
from django.db.models.fields.related import ForeignKey
from django.http import Http404
from ... |
#pylint: disable=invalid-name
#pylint: disable=too-many-instance-attributes
#pylint: disable=too-many-return-statements
#pylint: disable=too-many-statements
"""
Class structure and methods for an oscilloscope channel.
The idea is to collect all the relevant information from all the Rigol
scope waveforms into a single ... |
import re
import os
import cmd
import sys
import common
from getpass import getpass
from kp import KeePassError, get_password
from configmanager import ConfigManager, ConfigManagerError
common.init()
class ParseArgsException(Exception):
def __init__(self, msg):
self.msg = msg
class ModuleCore(cmd.Cmd):
def __... |
"""
This module contains the rule-based inference (rulebased_deduction engine)
"""
import itertools
from collections import defaultdict
from itertools import chain
from excut.explanations_mining.descriptions import dump_explanations_to_file
from excut.explanations_mining.descriptions_new import Description2, Atom, loa... |
"""
Learns a matrix of Z-Space directions using a pre-trained BigGAN Generator.
Modified from train.py in the PyTorch BigGAN repo.
"""
import os
from tqdm import tqdm
import torch
import torch.nn as nn
import torch.optim
import utils
import train_fns
from sync_batchnorm import patch_replication_callback
from torch.u... |
#!/usr/bin/env python3
import os
import re
import glob
import boto3
import requests
import subprocess
from time import sleep
AWS_REGION = os.environ['AWS_REGION']
DEPLOY_UUID = os.environ['DEPLOY_UUID']
SERVICE_NAME = os.environ['SERVICE_NAME']
MOUNT_POINT = "/var/lib/" + SERVICE_NAME... |
from collections import defaultdict
import json
import re
import time
from urllib.parse import urlparse
import uuid
import boto3
import boto3.exceptions
import botocore.exceptions
import markus
import redis.exceptions
import requests
import requests.exceptions
from sqlalchemy import select
import sqlalchemy.exc
from ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2018 Brno University of Technology FIT
# Author: <NAME> <<EMAIL>>
# All Rights Reserved
import os
import logging
import pickle
import multiprocessing
import numpy as np
from sklearn.metrics.pairwise import cosine_similarity
from vbdiar.features.segments... |
import os
from datetime import datetime
from os.path import join
import pathlib
from tqdm import tqdm
import argparse
import torch
from torch import nn, optim
from torch.autograd import Variable
import torchvision
from torchvision.transforms import Pad
from torchvision.utils import make_grid
import repackage
repackage... |
import logging
from typing import Dict, List, Optional
import numpy as np
import qiskit
from qiskit.circuit import Barrier, Delay, Reset
from qiskit.circuit.library import (CRXGate, CRYGate, CRZGate, CZGate,
PhaseGate, RXGate, RYGate, RZGate, U1Gate,
... |
import os, sys
class Object:
## @name constructor
def __init__(self, V):
self.value = V
self.nest = []
def box(self, that):
if isinstance(that, Object): return that
if isinstance(that, str): return S(that)
raise TypeError(['box', type(that), that])
## @name d... |
# Copyright 2019 TerraPower, 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 writi... |
# Copyright 2013 Cloudbase Solutions Srl
#
# Author: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# 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/LICENS... |
from numpy import array
from pickle import load
from pandas import read_csv
import os
from BioCAT.src.Combinatorics import multi_thread_shuffling, multi_thread_calculating_scores, make_combine, get_score, get_max_aminochain, skipper
# Importing random forest model
modelpath = os.path.dirname(os.path.abspath(__file__)... |
import argparse
import warnings
warnings.simplefilter("ignore", UserWarning)
import files
from tensorboardX import SummaryWriter
import os
import numpy as np
import time
import torch
import torch.optim
import torch.nn as nn
import torch.utils.data
import torchvision
import torchvision.transforms as tfs
from data impo... |
import torch
import numpy as np
import hashlib
from torch.autograd import Variable
import os
def deterministic_random(min_value, max_value, data):
digest = hashlib.sha256(data.encode()).digest()
raw_value = int.from_bytes(digest[:4], byteorder='little', signed=False)
return int(raw_value / (2 ** 32 - 1... |
import glob
import logging
import os
import warnings
import pytest
from _pytest.outcomes import Failed
from _pytest.reports import TestReport
from .broker_pact import BrokerPact, BrokerPacts, PactBrokerConfig
from .result import PytestResult, log
def pytest_addoption(parser):
group = parser.getgroup("pact speci... |
#This script Imports Game Data from ESPN, and Odds from the ODDS-API, and then imports them into a MySQL table, example in workbench here https://puu.sh/HOKCj/ce199eec8e.png
import mysql.connector
import requests
import json
import datetime
import time
#Connection to the MYSQL Server.
mydb = mysql.connector.... |
import os
import json
import importlib
from pluginbase import PluginBase
import rastervision as rv
from rastervision.protos.plugin_pb2 import PluginConfig as PluginConfigMsg
from rastervision.utils.files import download_if_needed
class PluginError(Exception):
pass
def load_conf_list(s):
"""Loads a list of... |
__author__ = "<NAME>"
__copyright__ = "Copyright 2017, Stanford University"
__license__ = "MIT"
import sys
from deepchem.models import KerasModel
from deepchem.models.layers import AtomicConvolution
from deepchem.models.losses import L2Loss
from tensorflow.keras.layers import Input, Layer
import numpy as np
import t... |
# coding=utf-8
import sys, getopt
import urllib
import requests
import requests_cache
import re
import time
from bs4 import BeautifulSoup
from requests import Session
sys.path.append("/home/taejoon1kim/BERT/my_bert")
from utils.cacheUtils import cacheExist, writeCache, readCache, getDownloadCachePath
from utils.path... |
from typing import Optional, Tuple, Union
import numpy as np
import pandas as pd
import pyvista as pv
from pyvista import DataSet, MultiBlock, PolyData, UnstructuredGrid
try:
from typing import Literal
except ImportError:
from typing_extensions import Literal
from .ddrtree import DDRTree, cal_ncenter
from .s... |
import typing
# custom data structure to hold the state of an HSV filter
class HsvFilter:
def __init__(self, hMin=None, sMin=None, vMin=None, hMax=None, sMax=None, vMax=None,
sAdd=None, sSub=None, vAdd=None, vSub=None):
self.hMin = hMin
self.sMin = sMin
self.vMin = vMin
... |
#!/usr/bin/env python3
"""Curve fitting with linear programming.
Minimizes the sum of error for each fit point to find the optimal coefficients
for a given polynomial.
Overview:
Objective: Sum of errors
Subject to: Bounds on coefficients
Credit: "Curve Fitting with Linear Programming", <NAME> and <NAME>
"""... |
from pathlib import PosixPath
import configparser
from typing import Dict, Optional, Any, List
from inspect import cleandoc
import shutil
import tensorhive
import os
import logging
log = logging.getLogger(__name__)
class CONFIG_FILES:
# Where to copy files
# (TensorHive tries to load these by default)
con... |
import unittest
from test import test_support
import base64
class LegacyBase64TestCase(unittest.TestCase):
def test_encodestring(self):
eq = self.assertEqual
eq(base64.encodestring("www.python.org"), "d3d3LnB5dGhvbi5vcmc=\n")
eq(base64.encodestring("a"), "YQ==\n")
eq(base64.encod... |
import discord
from discord.ext import commands
import os
import json
from datetime import date, datetime, timedelta
from .utils import helper_functions as hf
from copy import deepcopy
dir_path = os.path.dirname(os.path.dirname(os.path.realpath(__file__))).replace('\\', '/')
class Jpserv(commands.Cog):
"""Module... |
import torch
import torch.nn as nn
import numpy as np
import matplotlib.pyplot as plt
# NOT -> ParameterModule
# NOT -> children_and_parameters
# NOT -> flatten_model
# NOT -> lr_range
# NOT -> scheduling functions
# NOT -> SmoothenValue
# YES -> lr_find
# NOT -> plot_lr_find
# NOT TO BE MODIFIED
class ParameterModu... |
# Copyright (c) Microsoft Corporation.
# Licensed under the MIT License.
"""
Calibration Controller
Performs calibration for hue, center of camera position, and servo offsets
"""
import os
import cv2
import time
import json
import argparse
import datetime
import numpy as np
import logging as log
from env import Moa... |
# -*- coding: utf-8 -*-
# FOGLAMP_BEGIN
# See: http://foglamp.readthedocs.io/
# FOGLAMP_END
import os
import asyncio
import json
from unittest.mock import MagicMock, patch
from collections import Counter
from aiohttp import web
import pytest
from foglamp.services.core import routes
from foglamp.services.core import ... |
"""
recognize face landmark
"""
import json
import os
import requests
import numpy as np
FACE_POINTS = list(range(0, 83))
JAW_POINTS = list(range(0, 19))
LEFT_EYE_POINTS = list(range(19, 29))
LEFT_BROW_POINTS = list(range(29, 37))
MOUTH_POINTS = list(range(37, 55))
NOSE_POINTS = list(range(55, 65))
RIGHT_EYE_POINTS =... |
# coding: utf-8
from bigone import BigOneDog
from common import gen_logger
import logging
import time
import json
def strategy_eth_big_bnc_eth(dog):
"""
正向：买BIG/ETH -> 卖BIG/BNC -> 买ETH/BNC
反向：卖ETH/BNC -> 买BIG/BNC -> 卖BIG/ETH
:param dog: implemention of BigOneDog
:return: 正向收益率，反向收益率
"""
... |
# -*- coding: utf-8 -*-
import sys
import urllib
import urlparse
# import xbmc
import xbmcgui
import xbmcplugin
import aci
# Get the plugin url in plugin:// notation.
_url = sys.argv[0]
# Get the plugin handle as an integer number.
_handle = int(sys.argv[1])
# Get an instance of ACI.
ATV = aci.ACI()
ATV.load_aci()... |
##################################################################################################
# Copyright (c) 2012 <NAME>
#
# 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 restri... |
"""Non-linear SPDE model on a periodic 1D spatial domain for laminar wave fronts.
Based on the Kuramato--Sivashinsky PDE model [1, 2] which exhibits spatio-temporally
chaotic dynamics.
References:
1. Kuramoto and Tsuzuki. Persistent propagation of concentration waves
in dissipative media far from thermal ... |
import os
import time
import cv2
import sys
sys.path.append('..')
import numpy as np
from math import cos, sin
from lib.FSANET_model import *
import numpy as np
from keras.layers import Average
def draw_axis(img, yaw, pitch, roll, tdx=None, tdy=None, size = 50):
print(yaw,roll,pitch)
pitch = pitch * np.pi /... |
from _thread import start_new_thread
from bitcoin.messages import *
from bitcoin.net import CAddress
from bitcoin.core import CBlock
from io import BytesIO as _BytesIO
import atexit
import bitcoin
import fcntl
import hashlib
import json
import os
import random
import re
import socket
import struct
import sys
import tim... |
import pygame
import random
pygame.init()
clock = pygame.time.Clock()
fps = 60
#game window
bottom_panel = 150
screen_width = 800
screen_height = 400 + bottom_panel
screen = pygame.display.set_mode((screen_width, screen_height))
pygame.display.set_caption('Battle')
#define game variables
current_fighter = 1
total... |
import asyncio
import discord
from discord.ext import commands
import re
import sqlite3
from urllib.parse import quote as uriquote
import html
CURR = ["AUD", "BRL", "CAD", "CHF", "CLP", "CNY", "CZK", "DKK", "EUR",
"GBP", "HKD", "HUF", "IDR", "ILS", "INR", "JPY", "KRW", "MXN",
"MYR", "NOK", "NZD", "P... |
"""Generates a random terrain at Minitaur gym environment reset."""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os, inspect
currentdir = os.path.dirname(os.path.abspath(inspect.getfile(inspect.currentframe())))
parentdir = os.path.dirname(os.path... |
"""
VAE on the swirl task.
Basically, VAEs don't work. It's probably because the prior isn't very good
and/or because the learning signal is pretty weak when both the encoder and
decoder change quickly. However, I tried also alternating between the two,
and that didn't seem to help.
"""
from torch.distributions import... |
class FoodClassifier:
#Class Attributes:
#model - the underlying keras model
#labels - the labels to be associated with the activation of each output neuron.
#Labels must be the same size as the output layer of the neural network.
def __init__(self, modelpath, labels, min_confidence =... |
# cython: language_level=3
# -*- coding: utf-8 -*-
from mathics.core.expression import Expression
from mathics.core.symbols import Atom, Symbol
from mathics.core.atoms import Integer
from mathics.builtin.base import MessageException
"""
This module provides some infrastructure to deal with SubExpressions.
"""
def... |
from .base import Controller
from .base import Action
import numpy as np
import pandas as pd
import logging
from collections import namedtuple
from tqdm import tqdm
logger = logging.getLogger(__name__)
CONTROL_QUEST = 'simglucose/params/Quest.csv'
PATIENT_PARA_FILE = 'simglucose/params/vpatient_params.csv'
ParamTup = ... |
"""
Keep track of which LBRY Files are downloading and store their LBRY File specific metadata
"""
import logging
import os
from twisted.enterprise import adbapi
from twisted.internet import defer, task, reactor
from twisted.python.failure import Failure
from lbrynet.reflector.reupload import reflect_stream
from lbr... |
# Copyright 2019 Google LLC. 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 a... |
#!/usr/bin/python3
#program to parse png images and change images
# cmd: python3 transform.py
# you must have local input/ and output/ directories
#
# name: <NAME>
# date: 12/27/20
# cmdline: python transform.py cmd show image='city.png' --ulx=1 --uly=2 --brx=0 --bry=9
# python transform.py show city.png
# ... |
'''Functional tests for CPG'''
from .. import CircuitPlayground
from .. import __version__ as CircuitPlaygroundVersion
import time
def funcTest(timestamps: bool = False) -> None:
cpg = CircuitPlayground()
if timestamps:
_printFuncTestHeadingWithDeliLine(f'cpg_scpi v{CircuitPlaygroundVersion}\nRUNNING... |
import yfinance as yf
import matplotlib.pyplot as plt
import plotly.express as px
import plotly.graph_objects as go
from plotly.subplots import make_subplots
import pandas as pd
from IPython.display import Markdown
import numpy as np
from datetime import date, timedelta
def plot_and_get_info(ticker, start = None, en... |
# Licensed under a 3-clause BSD style license - see LICENSE.rst
"""Tools to create profiles (i.e. 1D "slices" from 2D images)."""
import numpy as np
import scipy.ndimage
from astropy import units as u
from astropy.convolution import Box1DKernel, Gaussian1DKernel
from astropy.coordinates import Angle
from astropy.table ... |
"""Config
This module is in charge of providing all the necessary settings to
the rest of the modules in excentury.
"""
import os
import re
import sys
import textwrap
import argparse
from collections import OrderedDict
from excentury.command import error, trace, import_mod
DESC = """Edit a configuration file for ex... |
# Copyright 2020 The FedLearner 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 applica... |
# Copyright 2015 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 required by applicable law or a... |
import argparse
import json
import logging
import os
import torch
from transformers.file_utils import ModelOutput
from typing import Dict, Optional, Tuple
from torch.utils.data import DataLoader, SequentialSampler
from transformers.modeling_outputs import Seq2SeqLMOutput
import train_seq2seq_utils
import single_head_ut... |
# Copyright 2019 The MACE 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 applicable la... |
import sys
import unittest
import os
import tempfile
from netCDF4 import Dataset
import numpy as np
from numpy.testing import assert_array_equal
FILE_NAME = tempfile.NamedTemporaryFile(suffix='.nc', delete=False).name
VL_NAME = 'vlen_type'
VL_BASETYPE = np.int16
DIM1_NAME = 'lon'
DIM2_NAME = 'lat'
nlons = 5; nlats = 5... |
import csv
import datetime
from collections import defaultdict
from django.contrib import messages
from django.http.response import FileResponse
from django.shortcuts import redirect, render
from django.utils import timezone
from django.views.decorators.http import require_GET, require_http_methods, require_POST
from... |
#-------------------------------------------------------------#
# ResNet50的网络部分
#-------------------------------------------------------------#
import keras.backend as K
from keras import backend as K
from keras import initializers, layers, regularizers
from keras.engine import InputSpec, Layer
from keras.init... |
# coding=utf-8
# Copyright 2022 The Meta-Dataset 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 ... |
# Copyright 2015, Rackspace, US, Inc.
#
# 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 w... |
# Copyright (c) 2019-2020, NVIDIA 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/LICENSE-2.0
#
# Unless required by... |
import json
import csv
import sys
import os
import re
import codecs
import logging
from logging.config import dictConfig
import click
import yaml
from sqlalchemy import create_engine
from jsontableschema_sql import Storage
from smart_open import smart_open
from . import postgres
from . import carto
csv.field_size_li... |
#!/usr/bin/env python3
# SPDX-FileCopyrightText: 2021 <NAME> <<EMAIL>>
#
# SPDX-License-Identifier: MIT
import stat
import tempfile
import threading
from typing import List
from sys import argv
import os
import requests
import shutil
import json
import yaml
import subprocess
from lib.composegenerator.v0.generate imp... |
#!/usr/bin/env python
""" Provides the primary interface into the library """
from __future__ import annotations
import asyncio
import logging
from typing import Callable, Optional, Union
from . import utils
from . import controllers
from .networking.connection import Connection
from .networking.types import SSDPRes... |
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