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import re, errno, subprocess, os
from twisted.trial import unittest
from .. import ipaddrs
DOTTED_QUAD_RE=re.compile("^[0-9]+\.[0-9]+\.[0-9]+\.[0-9]+$")
MOCK_IPADDR_OUTPUT = """\
1: lo: <LOOPBACK,UP,LOWER_UP> mtu 16436 qdisc noqueue state UNKNOWN \n\
link/loopback 00:00:00:00:00:00 brd 00:00:00:00:00:00
inet... |
# Copyright 2018 Adobe. All rights reserved.
"""
Takes in a TrueType font and looks for a UFO font stored in the same folder.
Uses the UFO's components data to componentize matching TrueType glyphs.
The script only supports components that are not scaled, rotated nor flipped.
"""
import argparse
import os
import sys
... |
"""
Module to contain Base Host functionality
"""
import calendar
import re
import sys
__author__ = '<NAME>'
import logging
log = logging.getLogger(__name__)
# stdlib
import time
import os
import socket
import platform
import subprocess
import ipaddress
from pathlib import Path
# PyPi
from retry import retry
import... |
from dataclasses import dataclass
from datetime import datetime
from dataclass_csv import accept_whitespaces
from sqlalchemy import Column, Float, ForeignKey, Integer, String
from sqlalchemy.ext.hybrid import hybrid_property
from sqlalchemy.orm import relationship
import vigorish.database as db
from vigorish.util.dt_... |
# WZN: Note here we unify all LIDAR points to camera frame!!!
import numpy as np
import yaml
from fast_rcnn.config import cfg
from rpn_msr.anchor_target_layer_voxel_tf import clip_anchors_voxel
from fast_rcnn.nms_wrapper import nms
from utils.transform import lidar_cnr_to_img
from utils.util_voxels import bbox... |
# Libs
import machine
import utime
# Local libs
from ssd1306 import Segment
from ssd1306 import SSD1306_I2C
import consts as const
# import uasyncio as asyncio
class Screen_Handler:
def __init__(self):
# Constants
print("Init screen Screen_Handler")
self.screen_columns = 16
self.... |
import subprocess
import jpype
import pandas as pd
import pytest
from numpy import testing as npt
import ixmp
from ixmp.testing import make_dantzig
test_args = ('<NAME>', 'Hitchhiker')
can_args = ('canning problem', 'standard')
launch_log_msg = "launching ixmp.Platform using config file at '{}'"
def test_default_... |
import json
import logging
import os
import shutil
import socket
import tempfile
from autouri import AbsPath, AutoURI
from .cromwell_metadata import CromwellMetadata
from .cromwell_workflow_monitor import CromwellWorkflowMonitor
from .nb_subproc_thread import NBSubprocThread, is_fileobj_open
logger = logging.getLogg... |
import argparse
import torch
import codecs
import os
import math
from torch.autograd import Variable
from itertools import count
import itertools
import onmt.ModelConstructor
import onmt.translate.Beam
import onmt.io
import onmt.opts
import onmt.modules.Ensemble
from onmt.io.E2EDataset import SimpleAudioShardIterator... |
##-- This module is to handle all the print screens for the menus --##
from Map_Gen import Biome
from script import Items
##-- All Imports --##
import os
import sys
import textwrap
import time
from colorama import Back, Fore, Style, init
##-- Font Colors --##
init(convert=True)
white = Fore.WHITE
red = Fore.RED
g... |
#!/usr/bin/env python3.8
# -*- coding: utf-8 -*-
import sys, os
import sqlite3
# For compressed input files
import gzip
import re
CLINVAR_TABLE_DEFS = [
"""
CREATE TABLE IF NOT EXISTS gene (
gene_id INTEGER NOT NULL,
gene_symbol VARCHAR(64) NOT NULL,
HGNC_ID VARCHAR(64) NOT NULL,
PRIMARY KEY (gene_symbol)
)
""... |
from __future__ import annotations
import logging
from generic.event import Event
from gi.repository import Gtk
from gaphor.abc import ActionProvider
from gaphor.core import action, event_handler
from gaphor.core.modeling import AttributeUpdated, Diagram, ModelFlushed, ModelReady
from gaphor.event import ActionEnabl... |
# emacs: -*- mode: python; py-indent-offset: 4; tab-width: 4; indent-tabs-mode: nil -*-
# ex: set sts=4 ts=4 sw=4 noet:
# ## ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the duecredit package for the
# copyright and license terms. Originate... |
import numpy as np
import math
from sklearn.preprocessing import LabelEncoder
from anndata import AnnData
from typing import Optional
from time import time
from FlowGrid._functions import *
def calinski_harabasz_score(X, labels):
"""Compute the Calinski and Harabasz score.
It is also known as the Var... |
"""CheckingProxy derived from jsonrpc.proxy due to subclassing problems
w/getattr. Converts service errors into ServiceError exceptions, otherwise
call returns the jsonrpc "result" field.
"""
import sys
import uuid
import json
import time
import os
from urllib import request
import html
# import crds
from crds.cor... |
# coding=utf-8
# Copyright (C) 2020 NumS Development Team.
#
# 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 smart_imports
smart_imports.all()
class Mob(object):
__slots__ = ('record_id',
'level',
'abilities',
'initiative',
'health_cooficient',
'damage_modifier',
'max_health',
'health',
... |
# coding=utf-8
# *** WARNING: this file was generated by the Pulumi SDK Generator. ***
# *** Do not edit by hand unless you're certain you know what you are doing! ***
from enum import Enum
__all__ = [
'AlertDetail',
'AlertRuleKind',
'AlertSeverity',
'AttackTactic',
'ConnectivityType',
'Conten... |
# coding=utf-8
# Copyright 2019 Google LLC.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed ... |
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import argparse
import time
import os
import json
from importlib import import_module
import pymongo as pm
import numpy as np
from six.moves import xrange
import tensorflow as tf
from curiosity.utils import ... |
import superimport
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import multivariate_normal
from jax import vmap
class BinaryFA:
def __init__(self, input_dim, latent, max_iter, conv_tol=1e-4, compute_ll=True):
self.W = 0.1 * np.random.randn(latent, input_dim) # 2x16
self.b = 0.01 * n... |
"""
This module handles the user interactions in the maze program.
The module expects the modules 'fileIO' and 'solver' (from own package)
It implements several functions to display information and get information
from the terminal. Most output is normed to a width of 80 characters.
"""
import os
from . import fileIO... |
from functools import partial
import tensorflow as tf
import tensorflow.contrib.layers as layers
import tensorflow.contrib.rnn as rnn
from utils.model_utils import get_initializer, extract_axis_1
class NGramModel(object):
def __init__(self, data, oracle):
self.data = data
if oracle:
... |
from django.http import JsonResponse, HttpResponse, HttpResponseBadRequest, HttpResponseForbidden, Http404
from django.utils.crypto import get_random_string
from django.contrib.auth.decorators import login_required
from django.dispatch import Signal
from django.dispatch import receiver
from core.signals import sig... |
import matplotlib.pyplot as plt
import cv2
import numpy as np
import copy
def contrast_stretching(one_channel_image):
flat = np.ndarray.flatten(one_channel_image)
min_i = np.min(flat)
max_i = np.max(flat)
min_0 = 0
max_0 = 255
flat = (flat-min_i) * ((max_0 - min_0) / (max_i - min_i) + min_0)... |
# -*- coding: utf-8 -*-
# This code is part of the nevergrad package (https://github.com/facebookresearch/nevergrad)
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#
# (C) Copyright 2020 Enthought, Inc., Austin, TX
# All rights reserved.
#
# This work is implemented under the Formulations and C... |
import numpy as np
from scipy.ndimage import label
import torch
from torch.nn import functional as F
from torch.nn import ReLU
def create_gbackprop(model, device, target_class, dataloader=None, id_series=None, array_series=None, clip = 0):
"""
Create class activation map either by providing a series id and lo... |
import mock
from chroma_agent.action_plugins.manage_pacemaker import configure_fencing, set_node_standby, set_node_online
from chroma_agent.action_plugins import manage_corosync
from chroma_agent.lib.pacemaker import PacemakerNode
from iml_common.test.command_capture_testcase import CommandCaptureTestCase, CommandCapt... |
#!/usr/bin/python3
# python3 train.py -i /home/jtan/gpu/jtan/data/pivot_Mbc_train.h5 -test /home/jtan/gpu/jtan/data/pivot_Mbc_test.h5 -n penalty_alt -lambda 10 -MI -JSD
import tensorflow as tf
import numpy as np
import pandas as pd
import time, os, sys
import argparse
# User-defined
from network import Network
from ut... |
##
# Copyright (c) 2006-2016 Apple 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 l... |
import warnings
import numpy as np
from numba import jit
"""
This code is from scipy project with following license:
SciPy license
Copyright © 2001, 2002 Enthought, Inc.
All rights reserved.
Copyright © 2003-2019 SciPy Developers.
All rights reserved.
Redistribution and use in source and binary forms, with or wi... |
import sys
from PySide2.QtCore import SIGNAL, Slot
from PySide2.QtGui import QIcon
from PySide2.QtWidgets import QWidget, QTextEdit, QStatusBar, QGridLayout, QShortcut, QAction, QMainWindow, QLabel
from PySide2.QtWidgets import QApplication, QPushButton, QLineEdit, QMessageBox, QToolButton, QToolBar, QCompleter
f... |
"""
Copyright (c) 2018 <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, distribut... |
# -----------------------------------------------------------------
# Project: MNIST Hand-Written Digit Classifier
# Description: Classifies hand-written digits from the MNIST dataset with ~86% accuracy
# Author: <NAME> - <EMAIL>
# Dependencies: mnist, numpy, matplotlib
# License: None
# -------------------------------... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.http import Http404, HttpResponse, HttpResponseRedirect
from django.urls import reverse
from django.views.decorators.csrf import csrf_exempt
from django.shortcuts import get_object_or_404, render, redirect
from dashboard.models import Order, No... |
import util
from operator import add, mul, gt, lt, eq
hex_binary = {
'0' :'0000',
'1' : '0001',
'2' : '0010',
'3' : '0011',
'4' : '0100',
'5' : '0101',
'6' : '0110',
'7' : '0111',
'8' : '1000',
'9' : '1001',
'A' : '1010',
'B' : '1011',
'C' : '1100',
'D' : '1101',
'E' : '1110',
'F' : '1111',
}
def get_packet_version(... |
# Copyright 2017 The TensorFlow 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 applicab... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
import torch
from .box_head.box_head import build_roi_box_head
from .mask_head.mask_head import build_roi_mask_head
from .keypoint_head.keypoint_head import build_roi_keypoint_head
from .depth_head.depth_head import build_roi_depth_head
from .box3... |
from abc import abstractmethod
import functools
import posixpath
import socket
import threading
import zookeeper
try:
from twitter.common import log
except ImportError:
import logging as log
from twitter.common.concurrent import Future
from twitter.common.exceptions import ExceptionalThread
from twitter.common.la... |
"""emoDB dataset."""
import collections
import os
import numpy as np
import tensorflow as tf
import tensorflow_datasets.public_api as tfds
# Markdown description that will appear on the catalog page.
_DESCRIPTION = """
Berlin Database of Emotional Speech.
It contains about 500 utterances spoken by actors in a happy... |
# Copyright 2020 The SQLFlow 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 law o... |
"""
@author: <NAME>
"""
from __future__ import print_function
from abc import abstractmethod
from collections import OrderedDict
from copy import deepcopy
import numpy as np
import six
from numpy.random import randint, rand
from pyDOE import lhs
# TODO: fix bugs in bounds when calling __mul__
# TODO: implementa sam... |
import os
import gym
import pylab
import time
import itertools
import numpy as np
from statistics import mean
from tensorflow.keras.optimizers import Adam
from tensorflow.keras.models import Sequential, load_model, Model
from tensorflow.keras.layers import Dense, Input, Flatten, MaxPooling2D, Conv2D, Dropout
from ker... |
import torch
import torch.nn as nn
import numpy as np
import gym
from torch.utils.tensorboard import SummaryWriter
import copy
class Dueling_Net(nn.Module):
def __init__(self, state_dim, action_dim, hidden_width):
super(Dueling_Net, self).__init__()
self.l1 = nn.Linear(state_dim, hidden... |
import configparser
import datetime
import os
import time
from selenium import webdriver
from selenium.webdriver.chrome.service import Service
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import Select
from selenium.webdriver.support.ui import WebDriverWait
def getWebDriver(broswer_... |
from vergeml import ModelPlugin, model, train, predict, option, VergeMLError
from vergeml.display import DISPLAY
import numpy as np
import os
import os.path
import random
import csv
_TEMPLATE = """\
model: imagenet
# Uncomment for better ml list output:
# list:
# columns:
# - model
# - status
# - num-samples... |
# Copyright (c) 2019, Xilinx, 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 ... |
import copy
import igraph
import cairo
import numpy as np
from collections import OrderedDict
from igraph import Layout
from igraph.drawing.colors import color_to_html_format
from igraph.drawing.text import TextDrawer
from psychsim.agent import Agent
from psychsim.probability import Distribution
from psychsim.pwl impor... |
#Copyright 2021, XinruiZhan
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from __future__ import unicode_literals
import torchvision.transforms as transforms
from hdn.datasets.custom_transforms import Normalize, ToTensor
import orjson as json
import loggi... |
# Author: <NAME>, <EMAIL>
# Sep 8, 2018
# Copyright 2018 <NAME>
import numpy as np
from matplotlib import pyplot as plt
from scipy.spatial import distance as dist
from scipy.optimize import linear_sum_assignment
import scipy.io
import pickle
import collections
import itertools
from networkx.algorithms.bipartite... |
import os
import numpy as np
import copy
import motmetrics as mm
mm.lap.default_solver = 'lap'
import argparse
from read import read_results, unzip_objs
class Evaluator(object):
def __init__(self, data_root, seq_name, data_type):
self.data_root = data_root
self.seq_name = seq_name
self.d... |
import logging
import threading
from contextlib import closing, contextmanager
from datetime import datetime
from io import BytesIO
import dropbox
import six
from dropbox import Dropbox
from dropbox.exceptions import ApiError
from dropbox.files import (DownloadError, FileMetadata, FolderMetadata,
... |
#-*- coding:utf-8 -*-
import tensorflow as tf
import math
class batch_norm(object):
def __init__(self, epsilon=1e-5, momentum = 0.9, name="batch_norm"):
with tf.variable_scope(name):
self.epsilon = epsilon
self.momentum = momentum
self.name = name
def __call__(self,x... |
# Copyright 2021 Sony 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... |
from datetime import date
import matplotlib.pyplot as plt
import networkx as nx
import numpy as np
import os
import pandas as pd
from path_plots import dmdb_plots as dp
import re
import shutil
from yaml import safe_load
def generate_md_header(output, title, permalink, datatable=False):
output.write("---\n")
o... |
'''
Train
Train your nerual network
Author: <NAME>
To fix missing .jpeg files, see utils/
'''
from __future__ import print_function
import argparse
import fnmatch
import json
import os
import pickle
import random
from datetime import datetime
from time import strftime
import numpy as np
from PIL import Image
from tens... |
"""Define your models in this module.
Models are standard Python classes which inherits from
:class:`django.db.models.Model`. A model represents a SQL table.
Documentation can be found at .
"""
from heapq import heappop, heappush
import os
import uuid
from django.conf import settings
from django.contrib.auth.models ... |
#!/usr/bin/env python
import pymysql, string, sys, random, binascii, os, configparser
from flask import Flask, abort, flash, g, jsonify, render_template, redirect, url_for, session, request
from flask_seasurf import SeaSurf
from flask_mail import Mail, Message
from functools import wraps
from passlib.hash import bcr... |
'''
Runs unit tests of functions associated with the ENVI file format.
To run the unit tests, type the following from the system command line:
# python -m spectral.tests.envi
'''
from __future__ import absolute_import, division, print_function, unicode_literals
import numpy as np
from numpy.testing import asser... |
import cv2
import csv
import PySimpleGUI as sg
import datetime
import sys
import numpy as np
#TODO Move this to a config file
# Frames not moving before fly is considered asleep, change if environment of camera is noisy
TIMEOUT = 300
# Frequency of progress updates in frames
FRAMES_TO_OUTPUT_PROGRESS = 600
def Parti... |
import json, os
from kivy.lang import Builder
from kivy import properties as p
from kivy.utils import get_hex_from_color, get_color_from_hex
from kivy.uix.behaviors import ButtonBehavior
from kivymd.uix.picker import BaseDialogPicker
from kivymd.uix.boxlayout import MDBoxLayout
from kivymd.uix.behaviors import (
... |
import os
import re
import urllib
import uuid
from datetime import datetime
from cgi import FieldStorage
from ofs import get_impl
from pylons import request, response
from pylons.controllers.util import abort, redirect_to
from pylons import config
from paste.fileapp import FileApp
from paste.deploy.converters import a... |
import random
import re
import sys
import unittest
from typing import *
import z3 # type: ignore
from crosshair.libimpl.builtinslib import SeqBasedSymbolicStr
from crosshair.libimpl.builtinslib import LazyIntSymbolicStr
from crosshair.libimpl.relib import _match_pattern
from crosshair.libimpl.relib import ReUnhandle... |
from __future__ import annotations
from functools import partial
from typing import Any, Callable, Dict, List, Optional, Sequence, Set, Tuple, Type
from hique.base import FieldExpr, Model
from hique.builder import QueryBuilder
from hique.expr import CallExpr, Expr
from hique.query import BaseSelectQuery, DeleteQuery,... |
from client import client
from collections import Counter
from modules import __common__
from typing import List, Dict, Union
import asyncio
import datetime
import discord
import log
import os
import re # wish me luck
import time
try:
from matplotlib import pyplot as plot
except ImportError:
use_mpl = False
else:
... |
"""Unit tests for the robot module."""
import pytest
from .robot import Robot, Dir, Location
from .api import robotapi_pb2
from .blocktypes import BlockType
class MockContextHandler(object):
"""A mock for the context handler, simply returns pre-prepared responses
straight away."""
def __init__(self):
... |
import json
from typing import ForwardRef
from ..cmd import Cmd, LongOpt, Opt, Subcommand
__all__ = ['RabbitmqCtl', 'RabbitmqAdmin']
class ListUsers(Subcommand):
def __init__(self, ctl):
super(ListUsers, self).__init__('list_users', ctl)
class ChangePassword(Subcommand):
__slots__ = ['_user_nam... |
#!/usr/bin/env python
""" Translator Class and builder """
from __future__ import print_function
import codecs
import os
import math
import torch
from itertools import count
from tensorboardX import SummaryWriter
from abstractive.beam import GNMTGlobalScorer
from abstractive.cal_rouge import test_rouge, rouge_resul... |
#!/usr/bin/env python3
# Copyright (c) 2019 The Bitcoin developers
# Distributed under the MIT software license, see the accompanying
# file COPYING or http://www.opensource.org/licenses/mit-license.php.
import unittest
from make_chainparams import main as GenerateChainParams
class MockRPC:
def __init__(self, t... |
import os, re, sys
from cupcake.io import GFF
from Bio import SeqIO
from collections import defaultdict
from bx.intervals.cluster import ClusterTree
from Cogent import BioReaders
"""
# BLASTN 2.6.0+
# Query: Domino_testis_i0_HQ_sampled07afe|c338324/f2p10/426
# Database: /pbi/dept/secondary/siv/gconcepcion/db/ncbi/nt
#... |
'''
Deep Deterministic Policy Gradient (DDPG) method is from the Actor-Critic family
but it is slightly different in the way it uses Critic network.
In A2C the critic is used to get a baseline for our discounted rewards, while in
DDPG it returns Q(s,a) value which represents the total discounted rewards
of action "a" ... |
#!/usr/bin/env python
from scipy.io import netcdf
import matplotlib.pyplot as plt
import numpy as np
import os
import argparse
def get_data(file,vars=[]):
try:
f=netcdf.netcdf_file(file,'r')
except IOError:
print('Error: Cannot open file'+file)
return 0
if vars == []: vars=f.varia... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
import logging
from PyQt5.QtCore import QThread
from PyQt5.QtCore import QUrl
from PyQt5.QtCore import pyqtSignal
from PyQt5.QtGui import QDesktopServices
from PyQt5.QtGui import QFont
from PyQt5.QtWidgets import QApplication
from PyQt5.QtWidgets import QFrame
from PyQt5... |
import numpy as np
from matplotlib import pyplot as plt
import matplotlib
#numpy计算复利
# periodic_payment = -np.pmt(rate=0.056/12, nper=300, pv=35 *10000)
# print("每月的按揭还款额: " + str(round(periodic_payment, 2)))
# 参考: [[Python]等额本息房贷计算器 - Fia - 博客园](https://www.cnblogs.com/FiaFia/p/8580414.html)
# [等额本息法_百度百科](htt... |
import copy
import json
import logging
import random
import time
from argparse import ArgumentParser
from itertools import chain
from pprint import pformat
import numpy as np
import torch
import torch.nn.functional as F
from transformers import *
from dataset import (SPECIAL_TOKENS, SPECIAL_TOKENS_DICT,
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 18 13:20:25 2021
@author: <NAME>
"""
import math
import numpy as np
import evaporation as ev
import weathering_utils as wu
def interp(val, array_value, array_ref):
"""
Interpolate the array_value from the array_ref with val. The array_ref
must... |
from model import SampleRNN, Predictor, Generator
import torch
import re
import sys
import numpy as np
import argparse
from librosa.output import write_wav
import os
from interpolate import interpolation
import random
default_params = {
# model parameters
'n_rnn': 1,
'dim': 1024,
'learn_h0': True,
... |
# %% [markdown]
# ##
import os
import time
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
import scipy
import seaborn as sns
from graspy.match import GraphMatch
from graspy.plot import heatmap
from graspy.simulations import sbm
from src.data import load_metagraph
from src.graph import pre... |
import unittest
import numpy as np
import logging
from lib.buffer_utils import BufferUtils
log = logging.getLogger('firemix.lib.command')
class Command:
"""
Base class for all commands
"""
def __init__(self):
self._color = (0, 0, 0)
self._priority = 0
self._strand = -1
... |
# -*- coding: utf-8 -*-
"""
Helper classes.
"""
"""
Pynu - Python Node Utilities
Copyright (c) 2014 <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 restriction, including
without li... |
#!/usr/bin/env python
import os
import sys
import unittest
from setuptools import Command, find_packages, setup
from setuptools.command import egg_info
from distutils import log
from fnmatch import fnmatch
fp = open("README.rst")
try:
LONG_DESCRIPTION = fp.read()
finally:
fp.close()
fp = open("doc/changelo... |
from django.shortcuts import render
from django.http import HttpResponse
from django.http import JsonResponse
from django.core.files.storage import FileSystemStorage
from django.conf import settings
from .models import Files
from django.core import serializers
import json
import pandas as pd
import os
from django.core.... |
"""
Copyright 2017-present, Airbnb 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 writing, sof... |
import socket
import random as ran
import string
import selectors
import json
from os import read, system
selector=selectors.DefaultSelector()
BUFFER=65000
#Las funciones leeralgo leen en un archivo de texto las categorias y con quitar salto de linea les quitamos los \n para meterlas a una lista
def quitarsaltodelinea(... |
"""
The oet.procedure.domain module holds domain entities from the script
execution domain. Entities in this domain are things like scripts,
OS processes, process supervisors, signal handlers, etc.
"""
import dataclasses
import enum
import importlib.machinery
import logging
import multiprocessing
import signal
import t... |
import contextlib
import errno
import resource
import time
import ws.auth
import ws.cgi
import ws.http.parser
import ws.http.structs
import ws.http.utils
import ws.ratelimit
import ws.serve
import ws.sockets
from ws.config import config
from ws.err import *
from ws.http.utils import request_is_persistent, response_is_... |
import inspect
import numpy as np
import pytest
from ansys.mapdl.core import examples
from ansys.mapdl.core.commands import (
CMD_BC_LISTING,
CMD_LISTING,
BoundaryConditionsListingOutput,
CommandListingOutput,
CommandOutput,
Commands,
)
try:
import pandas as pd
HAS_PANDAS = True
exc... |
"""
Code to apply non-linearity correction.
"""
from __future__ import print_function
import copy
import numpy as np
import scipy.optimize
from scipy.interpolate import UnivariateSpline
import astropy.io.fits as fits
from lsst.eotest.fitsTools import fitsTableFactory, fitsWriteto
def lin_func(pars, xvals):
"... |
# -*- coding: utf-8 -*-
import requests
from datetime import date
from exam.decorators import fixture
from mangopay import APIRequest
from mangopay.utils import Address, ReportTransactionsFilters
from . import settings
from .mocks import RegisteredMocks
from .resources import (NaturalUser, LegalUser, Wallet,
... |
from src import utils
from src.dataset import ImageData
from src.model import EfficientNetClassifier
from evaluate import evaluate
import pandas as pd
import torch
from torch.optim import SGD
from torch.optim.lr_scheduler import StepLR
from torch.nn import functional as F
from sklearn.model_selection import train_test_... |
from __future__ import unicode_literals
import frappe
from frappe.utils import flt, comma_or, nowdate, getdate
from frappe import _
from frappe.model.document import Document
def validate_status(status, options):
if status not in options:
frappe.throw(_("Status must be one of {0}").format(comma_or(options)))
# st... |
import gym
from collections import deque
from copy import deepcopy
from tqdm import tqdm
import os
import gym
import shutil
import numpy as np
import matplotlib.pyplot as plt
from agent import Agent
class EnvManager:
def __init__(self, env_class, agent_class):
self.environment = env_class()
self.a... |
"""Class :py:class:`FSTree` is a QWTree for filesystem tree presentation
========================================================================
Usage ::
# Test: python lcls2/psana/psana/graphqt/FSTree.py
# Import
from psana.graphqt.FSTree import ...
# See test at the EOF
See:
- :class:`CMWMain`... |
#-*- coding: utf-8 -*-
from __future__ import print_function
from gensim.models import KeyedVectors
import data_parser
import config
from model import Seq2Seq_chatbot
import tensorflow as tf
import numpy as np
import re
import os
import sys
import time
#=====================================================
# Glob... |
import cv2
import numpy as np
from scipy.spatial.transform import Rotation as R
# Dictionary that maps from joint names to keypoint indices.
KEYPOINT_DICT = {
'nose': 0,
'left_eye': 1,
'right_eye': 2,
'left_ear': 3,
'right_ear': 4,
'left_shoulder': 5,
'right_shoulder': 6,
'left_elbow': ... |
"""
State definition, and specific puzzle state definition for 8-Puzzle
articularly. Definition of heuristics for 8-puzzle.
"""
import math
class State(object):
"""
Base state, that defines heuristic use and the method that a State
need to implement.
"""
def __init__(self, values, parent, heurist... |
import os.path
from shutil import rmtree
import sys
import time
import tensorflow as tf
import helper
import warnings
from distutils.version import LooseVersion
import project_tests as tests
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or ne... |
# Copyright (c) 2018, NVIDIA CORPORATION.
from collections import OrderedDict, defaultdict, namedtuple
from itertools import chain
import numpy as np
from numba import cuda
import rmm
import cudf
import cudf._lib as libcudf
from cudf.core.series import Series
def _auto_generate_grouper_agg(members):
def make_... |
# Copyright The PyTorch Lightning team.
#
# 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... |
from __future__ import print_function
import numpy as np
import os, sys, imageio, time
from llff.inference.mpi_tester import DeepIBR
def savempi(mpi, pose, dvals, basedir, txt_only=False, binary=False):
pose = pose + 0.
pose_ = pose + 0.
pose[:, 0] = pose_[:, 1]
pose[:, 1] = -pose_[:, 0]
... |
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