text stringlengths 3.07k 12.6k |
|---|
from functools import lru_cache
import numpy as np
from .geometry import Circle, Point, Rectangle
def bbox_center(region):
"""Return the center of the bounding box of an scikit-image region.
Parameters
----------
region
A scikit-image region as calculated by skimage.measure.regionprops().
... |
from cv2 import cv2
import time
import pyautogui
import numpy as np
import mss
from os import listdir
# from run import getBackgroundText
import torch
from random import randint
# example_captcha_img = cv2.imread('images/example.png')
model = torch.hub.load('./captcha', 'custom', "captcha/bomb_captcha.pt", source='lo... |
from datetime import datetime
import xml.etree.ElementTree as ET
import unicodedata as ud
import enchant
import re
from stdnum import isbn
from stdnum import exceptions
# -----------------------------------------------------------------------------
def preprocessISBNString(inputISBN):
"""This function normalizes a g... |
import numpy as np
import cv2
from enum import Enum
class Models(Enum):
ssd_lite = 'ssd_lite'
tiny_yolo = 'tiny_yolo'
tf_lite = 'tf_lite'
def __str__(self):
return self.value
@staticmethod
def from_string(s):
try:
return Models[s]
except KeyError:
... |
import math
from typing import Optional, Union, Tuple, List
import numpy as np
import torch
import torch.nn.functional as F
from torch import Tensor
from torch_geometric.utils.num_nodes import maybe_num_nodes
from torch_scatter import scatter, segment_csr, gather_csr
from torch_scatter.utils import broadcast
import ... |
# coding=utf-8
# Copyright 2022 The Google Research 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 applicab... |
#!/usr/bin/env python3
import argparse
import png
import numpy as np
import csv
from matplotlib import pyplot as plt
# map a scalar value to a color from a colormap
def map_to_color(scalar, colormap):
if scalar is None:
return None
# search in list to find scalar
lo = int(0)
hi = int(colormap.... |
################################################################################
# This software was developed by the University of Tennessee as part of the
# Distributed Data Analysis of Neutron Scattering Experiments (DANSE)
# project funded by the US National Science Foundation.
#
# See the license text in license.t... |
# 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! ***
import warnings
import pulumi
import pulumi.runtime
from typing import Any, Mapping, Optional, Sequence, Union, overload
from .. import _utilities
from... |
import json
import maya
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
days = {
0:'monday',
1:'tuesday',
2:'wednesday',
3:'thursday',
4:'friday',
5:'saturday',
6:'sunday'
}
NEWLINE = '\n'
SPACE = ' '
COLON = ':'
def day(t):
# where t means unformatted time
... |
from urllib.parse import quote,unquote
from estring.consts import greece_md,greece_upperch
from estring.estring import is_int_str,is_float_str
import re
from efuntool.ebooltool import blor_rtrn_first
from efuntool.etypetool import is_number
#####
def rplc(s,d):
for k in d:
s = s.replace(k,d[k])
return(... |
#! /usr/bin/env python3
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright © 2021 <NAME> <<EMAIL>>
#
# Distributed under terms of the MIT license.
"""
"""
import os
import base64
import json
import dash_html_components as html
import dash_core_components as dcc
from dash.dependencies import Input,Output,State
fr... |
#!/usr/bin/python3
# File: test_state.py
# Authors: <NAME> - <NAME>
# email(s): <<EMAIL>>
# <<EMAIL>>
"""
This Module Defines Unittest for models/state.py.
Unittest classes:
TestAmenity_instantiation
TestAmenity_save
TestAmenity_to_dict
"""
import os
import models
import unittest
from datetime i... |
# This file is part of fionautil.
# http://github.com/fitnr/fionautil
# Licensed under the GPLv3 license:
# http://http://opensource.org/licenses/GPL-3.0
# Copyright (c) 2015-6, <NAME> <<EMAIL>>
import itertools
from functools import reduce
import sys
import fiona
import fiona.transform
try:
from shapely.geometr... |
#!/usr/bin/env python
#
# Copyright 2011-2015 Splunk, 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... |
# coding: utf-8
"""
FRITZ!Box SmartHome Client
~~~~~~~~~~~~~~~~~~~~~~~~~~
"""
from __future__ import print_function, division
import re
import time
import json
import socket
import click
from .fritz import FritzBox
@click.group()
@click.option('--host', default='169.254.1.1') # fritzbox "emergency" IP
@c... |
import os
from pyscf.pbc.gto import Cell
from pyscf.pbc.scf import KRHF
from pyscf.pbc.tdscf import KTDHF
from pyscf.pbc.tdscf import krhf_slow_gamma as ktd
import unittest
from numpy import testing
import numpy
from test_common import retrieve_m, retrieve_m_hf, assert_vectors_close, tdhf_frozen_mask
class DiamondT... |
import os
import cv2
import numpy as np
import torch
import imageio
from torchvision import transforms
from .colmap_utils import *
import pdb
def load_img_list(datadir, load_test=False):
with open(os.path.join(datadir, 'train.txt'), 'r') as f:
lines = f.readlines()
image_list = [line.strip() for l... |
"""
Multivariate loc_scale priors for convolutional layers
"""
from numbers import Number
import torch.distributions as td
import torch
import math
from .base import Prior
from . import distributions
__all__ = ('ConvCovariance', 'FixedCovNormal', 'FixedCovLaplace', 'FixedCovDoubleGamma', 'FixedCovGenNorm')
class P... |
#
# Copyright 2018-2021 <NAME>
# 2019 <NAME>
# 2015-2016 <NAME>
#
# ### MIT license
#
# 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 withou... |
import logging
import os
from ftplib import FTP
import time
class SPSConnectionException(Exception):
def __init__(self):
pass
class SPSLib:
## The Constructor
# @param client {FTP} An FTP client to be used as the connection
# @param default_destination {string} Path to where the files are aut... |
import time
import argparse
import numpy as np
from sklearn.metrics import confusion_matrix
import cv2
from models import TSN
from transforms import *
import pycuda.driver as cuda
from PIL import Image
from streaming import streaming
import os
def make_ucf():
index_dir = '/cmsdata/hdd2/cmslab/haabibi/UCF101CL... |
# RT TTS - Voiceroid
from aiofiles import open as async_open
from aiohttp import ClientSession
import asyncio
HEADERS = {
'authority': 'cloud.ai-j.jp',
'accept': 'text/javascript, application/javascript, */*; q=0.01',
'user-agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, lik... |
import os
import sys
import numpy as np
import torch
import argparse
import _pickle as pkl
import matplotlib.pylab as plt
import seaborn as sea
sea.set_style("whitegrid")
from matplotlib.offsetbox import OffsetImage, AnnotationBbox
from random import uniform
from .Protein import Protein
from .Complex import Complex
f... |
from __future__ import print_function
import argparse
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
from torchvision import datasets, transforms
from torch.optim.lr_scheduler import StepLR
from mnist_demo.models.model import Net
from mnist_demo.models.dataset import MyMN... |
import os
import typing
from contextlib import suppress
from pathlib import Path
from qtpy.QtWidgets import QDialog, QFileDialog, QGridLayout, QPushButton, QStackedWidget
from PartSegCore.io_utils import SaveBase
from .algorithms_description import FormWidget
from .custom_load_dialog import IORegister, LoadRegisterF... |
# toImpr remove import?
from Skill import the_skill
class Hero:
def __init__(self, name, type_):
self.name = name
self.type_ = type_
self.level = 1
self.EXP = 0
self.__HP = 5
# self.__STR = 2
# self.__AGI = 1
# self.__INT = 1
... |
#! /usr/bin/env python3
# coding: UTF-8
"""
Script: outil.py
Auteur: remy
Date: 14/03/2018
"""
import outil
import copy
# Fonctions
def gagne(entrepot):
"""
Vérifie si le puzzle décrit par l”entrepot est résolu ou non (c’est à dire que toutes les caisses ont été placées
sur des cibles) et renvoie la répon... |
import json
import matplotlib.style as style
import numpy as np
import pandas as pd
import pylab as pl
def make_rows(cngrs_prsn):
"""Output a list of dicitonaries for each JSON object representing a
congressperson.
Each individaul dictionary will contain information about the congressperson
as well as inf... |
import io
import os
import re
from collections import namedtuple
from pathlib import PurePath, PurePosixPath, PureWindowsPath
DigestEntry = namedtuple('DigestEntry', ['digest', 'flag', 'path'])
class DigestError(Exception):
pass
class DigestParserError(DigestError):
pass
class DigestFormatError(DigestEr... |
from datetime import datetime, timedelta
import rumps
rumps.debug_mode(True)
# Icon font:
# https://fonts.google.com/icons?selected=Material%20Icons%3Atimer
config = {
'app_name': "MenubarTimer",
'app_icon': 'menubar-icon.png',
'button_until': "Start timer until ",
'button_add_five': "Add 5 mins to ti... |
import re
from collections import Counter
from difflib import unified_diff
from typing import List, Optional, Tuple, Union
from bx_django_utils.dbperf.query_recorder import SQLQueryRecorder
from bx_django_utils.stacktrace import StacktraceAfter
def counter_diff(c1, c2, fromfile=None, tofile=None):
def pformat(co... |
# -*- coding: utf-8 -*-
from __future__ import division
import bz2
from datetime import datetime
import os
import pickle
import numpy as np
import torch
from tqdm import trange
from agent import Agent
from utils import initialize_environment
from memory import ReplayMemory
from test import test
from parsers import pa... |
import pandas as pd
from Bio import SeqIO
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.cluster import KMeans
from sklearn.decomposition import PCA
from sklearn.manifold import TSNE
from sklearn.cluster import MeanShift
from sklearn import preprocessing
import matplotlib.pyplot as plt
import... |
import re
from datetime import datetime, timedelta, timezone
from typing import Dict, List, Optional
from urllib.parse import unquote
import semver # type: ignore
from dateutil import parser
from gitlab.v4.objects import ( # type: ignore
Project,
ProjectIssue,
ProjectMergeRequest,
ProjectTag,
)
from ... |
#!/usr/bin/env python
# -*- coding: UTF-8 -*-
import datetime
from django import template
from django.template import Library
from django.template import resolve_variable
from django.core.exceptions import ObjectDoesNotExist
from html2text import html2text as h2t
from intranet.org.models import Scratchpad
register... |
"""ETL code for the addon_aggregates dataset"""
from pyspark.sql import SparkSession
import pyspark.sql.functions as fun
import click
MS_FIELDS = [
"client_id",
"normalized_channel",
"app_version",
"locale",
"sample_id",
"profile_creation_date",
]
ADDON_FIELDS = [
"addons.addon_id",
"... |
#!/usr/bin/env python3
# Copyright (c) 2017 Computer Vision Center (CVC) at the Universitat Autonoma de
# Barcelona (UAB).
#
# This work is licensed under the terms of the MIT license.
# For a copy, see <https://opensource.org/licenses/MIT>.
"""A client for benchmarking the CARLA server."""
import argparse
import lo... |
#!/usr/bin/env python3
# Copyright (c) 2008-9 Qtrac Ltd. All rights reserved.
# This program or module is free software: you can redistribute it and/or
# modify it under the terms of the GNU General Public License as published
# by the Free Software Foundation, either version 2 of the License, or
# version 3 of the Lic... |
# Authors: <NAME> and Elnaz
#
# Program that calculates the APD for a single cell in the grid by passing its
# transmembrane potential over the time as input.
#
# This program also works with multiple AP's !
import sys
import subprocess
import time
import numpy as np
def forwarddiff(y, h):
n = len(y)
res = ... |
import pytest
from pytest import approx
from salamanca import ineq as iq
def test_gini_to_std():
obs = iq.gini_to_std(0.5)
exp = 0.95387
assert obs == approx(exp, abs=1e-5)
def test_std_to_gini():
obs = iq.std_to_gini(0.95387)
exp = 0.5
assert obs == approx(exp, abs=1e-5)
def test_theil_t... |
#!/usr/bin/python
#
# Copyright 2022 DeepMind Technologies 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 a... |
"""
Original code from PyObjC-Cocoa
See: https://bitbucket.org/ronaldoussoren/pyobjc/
AppKit helpers.
Exported functions:
* runEventLoop - run NSApplicationMain in a safer way
* stopEventLoop - stops the event loop or terminates the application
* callAfter - call a function on the main thread (async)
"""
# Use cocoa... |
### Code from https://github.com/budzianowski/PyTorch-Beam-Search-Decoding/blob/master/decode_beam.py
import operator
import torch
import torch.nn as nn
import torch.nn.functional as F
from queue import PriorityQueue
from itertools import count
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
SOS_... |
# -*- coding: utf-8 -*-
"""Concurrent streams and account polling using gevent.
demonstrates usage of oandapyV20:
- streaming prices
- streaming events
- account polling
- restart of a greenlet in case of an exception
For gevent details check: http://sdiehl.github.io/gevent-tutorial/
For REST-API V20 check: http://de... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from collections import OrderedDict
import math
from torch.autograd import Variable
__all__ = ['NUFNet', 'nufnet8', 'nufnet16','nufnet33','nufnet50']
def conv3x3(in_planes, out_planes, stride=1):
"""3x3 convolution with padding"""
return nn.Co... |
# call this script with `python -m evaluation.evaluate_poselines_globalaction`
import numpy as np
from numpy.core.fromnumeric import sort
import pandas as pd
import datetime
import torch
import pickle
from torch.functional import norm
from tqdm import tqdm
from . import eval_utils
from compoelem.config import config
f... |
# Copyright 2018 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 applica... |
#!/usr/bin/env python3
"""scapy-dhcp-listener.py
Listen for DHCP packets using scapy to learn when LAN
hosts request IP addresses from DHCP Servers.
Copyright (C) 2018 <NAME>
https://jcutrer.com/python/scapy-dhcp-listener
License Dual MIT, 0BSD
Extended by jkulawik, 2020
"""
from __future__ import print_function
fro... |
import sys
PY2 = sys.version_info < (3,)
if PY2:
# Python 2 is not happy with our package having the same name, we need dynamic import
import importlib
try:
# try old sklearn first, we are on python 2
sklearn_ft_base = importlib.import_module("sklearn.feature_selection.base")
except Im... |
# -*- coding: utf-8 -*-
## @package som_cm.som
#
# Implementation of SOM.
# @author tody
# @date 2015/08/14
import os
import numpy as np
import matplotlib.pyplot as plt
from som_cm.np.norm import normVectors
## SOM parameter.
class SOMParam:
# @param h image grid size.
# @param L0... |
# Copyright 2020 Open Climate Tech Contributors
#
# 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 agr... |
from PyQt5.QtCore import Qt, pyqtSignal
from PyQt5.QtWidgets import (QWidget, QCheckBox, QLineEdit, QGroupBox, QVBoxLayout, QLabel)
from PyQt5.uic import loadUi
from msc import ES2Collection, ES2ValueType
from msc import ES2Transform, ES2Color, Vector3, Quaternion
class ClickableLabel(QLabel):
mousePressed = pyq... |
import json
import logging
import traceback
from urllib.request import urlopen, Request
from uniswap.uniswap import UniswapV2Client
import os
from web3 import Web3
import time
from datetime import datetime
import math
logger = logging.getLogger(__name__)
ACC = 'xxx'
PRIVATE_KEY = 'xxx'
API = 'xxx'
NETWORK = 'https:/... |
from camera.camera_object_detection_data import CameraObjectDetectionData
import numpy
import dataclasses
import datetime
import json
from utils.dict import remove_null_keys
import uuid
from io import BytesIO
from typing import List, Callable, Optional
from camera.camera_recording import CameraRecording
from loggers i... |
import requests
from urllib import request, parse
import io
import dnnlib
import dnnlib.tflib as tflib
import pickle
import numpy as np
from projector import Projector
from PIL import Image
import re
import base64
from io import BytesIO
import boto3
import uuid
img_res = 256
def find_nearest(arr, val):
"Element ... |
from datetime import datetime
import os.path
import functools
import collections
import copy
import re
import time
import logging
import numpy as np
import tensorflow as tf
from train_common import get_global_step, get_lr_and_max_steps, get_ops, run_op
import prune_algorithm.prune_common as pc
logging.basicConfig(l... |
import random
import pkg_resources
from .interface import Interface
class Bullshit:
"""This class is used to control the game status."""
def __init__(self):
self.running = False
self.active_players = 0
def get_player_names(self,players):
"""Asks for the names of all players."""
... |
"""Test ThroughputReporter"""
import pytest
@pytest.fixture
def klass():
"""Return CUT."""
from agile_analytics import ThroughputReporter
return ThroughputReporter
def test_title(klass):
"""Ensure the title gets set."""
r = klass(
title="Weekly Throughput"
)
assert r.title == "W... |
import json
import pickle
from abc import ABC, abstractmethod
from threading import Lock
from typing import Any
import portalocker
from .dicttree import NOTSET, query_tree, update_tree
class NamespaceDriver(ABC):
@abstractmethod
def query(self, key: str) -> Any:
pass
@abstractmethod
def key... |
#!/usr/bin/python
# ~~~~~============== HOW TO RUN ==============~~~~~
# 1) Configure things in CONFIGURATION section
# 2) Change permissions: chmod +x client.py
# 3) Run in loop: while true; do ./client.py; sleep 1; done
from __future__ import print_function
import sys
import socket
import json
import time
impo... |
#!/usr/bin/env python
# coding: utf-8
# In[19]:
# %load get_nextstrain_data.py
### https://github.com/tomasMasson/covid-19-Annotations-on-Structures.git
#!/usr/bin/env python3
import json
import requests
from utils.sm_annotations import Annotation
import matplotlib.colors as mcolors
def parse_json(input_file):
... |
# This file is part of Buildbot. Buildbot is free software: you can
# redistribute it and/or modify it under the terms of the GNU General Public
# License as published by the Free Software Foundation, version 2.
#
# This program is distributed in the hope that it will be useful, but WITHOUT
# ANY WARRANTY; without eve... |
#!/usr/bin/env python
# coding=utf-8
#
#
# Copyright 2021 <NAME>
#
#
import random
import os
# import sys
from optparse import OptionParser
from PIL import Image
""" if "darwin" in sys.platform:
os.system("clear")
elif "win" in sys.platform:
os.system("cls")
elif "linux" in sys.platform:
os.system("clear"... |
"""
此页面用于爬取雪球网单支股票数据
Created by CSDN梦栖，2020-05-22
"""
# 导库
import os
from bs4 import BeautifulSoup
import requests
import csv
message = '即将开始处理...'
# 获取源数据
def get_source_data(source_file_path):
stock_id_list = []
with open(source_file_path, 'r', encoding='utf-8') as fp:
reader =... |
import automox_console_sdk as automox
from automox_console_sdk.api import DevicesApi
from automox_console_sdk.api import GroupsApi
from automox_console_sdk.models import ServersIdBody, ServerGroupCreateOrUpdateRequest
from getpass import getpass
import ldap
from ldap.controls import SimplePagedResultsControl
import re
... |
from JumpScale import j
class Avahi():
# def __init__(self):
# raise RuntimeError("should not init auto")
# j.system.platform.ubuntu.checkInstall(["avahi-utils"],"avahi-browse")
def _servicePath(self, servicename):
path = "/etc/avahi/services"
if not j.system.fs.exists(path=p... |
import re
import itertools
EXAMPLES1 = (
('19-exemple1.txt', 79),
)
EXAMPLES2 = (
('19-exemple1.txt', 3621),
)
INPUT = '19.txt'
def read_list(fn):
beacons = list()
with open(fn) as f:
while match := re.match(r'--- scanner (\d+) ---', f.readline()):
num = int(... |
import multiprocessing
import pickle
import random
import sys
from collections import defaultdict
from math import ceil, sqrt
import numpy as np
from scipy.stats import norm, skewnorm
from tqdm import tqdm
sys.path.append('..')
import features
INCOME_SECURITY = {
'employee_wage': 0.8,
'state_wage': 0.9,
... |
#!/usr/bn/env python3
import requests,json
import traceback
def loginCCNU(username="",passwd="",suffix=""):
errmessage = None
try:
url = "http://10.220.250.50/0.htm"
payload = {"DDDDD":"%s"%username,
"upass":"%s"%passwd,
"suffix":"%s"%suffix,
"0MKK... |
import sys
sys.path.append("..")
from engineering_tool.electrics import *
def Power_Electric():
voltage_DC = 15 # Volt DC
current_DC = 2.5 # Amp DC
voltage_AC1P = 225.5 # Vrms 1 Phase
current_AC1P = 5.5 # Amp 1 Phase
PF_AC1P = 0.8 # Power factor
voltage_AC3P = 225.5 # Vrms... |
import cv2
import os
import numpy as np
from sys import argv
from lib import sauvola, linelocalization, pathfinder
from WordSegmentation import wordSegmentation, prepareImg
from time import time as timer
from SamplePreprocessor import preprocess
from DataLoader import Batch
from Model import Model
def draw_line(im, p... |
import pyrebase
from datetime import datetime
import firebase_admin
from firebase_admin import db, credentials
import pandas as pd
import tabulate
import time
Config = {
"apiKey": "<KEY>",
"authDomain": "firestore-4dc04.firebaseapp.com",
"databaseURL": "https://firestore-4dc04.firebaseio.com",
"proje... |
# -*- coding: utf-8 -*-
import tensorflow as tf
import numpy as np
import skimage.io as io
import skimage.transform as transform
from os.path import join
import vfn.network as nw
import argparse
import json
import time
global_dtype = tf.float32
global_dtype_np = np.float32
batch_size = 200
def overlap_ratio(x1, y1, ... |
import os
import json
import torch
import pickle
from torch.utils.data import DataLoader
from model import KGEModel
from dataloader import TrainDataset
from dataloader import BidirectionalOneShotIterator
from classifier import ClassifierTrainer, LTTrainer, NoiGANTrainer
import numpy as np
from sklearn.metrics import ac... |
import torch
from torch.utils.data import DataLoader
import pathlib
import os
import numpy as np
import dataset
from criteria import cal_criteria, bbrebuild
def loss_from_log(train_name):
with open('../logs/log_%s.txt' % train_name) as f:
lines = f.readlines()
val_loss = []
train_loss... |
# Copyright (c) 2018 NVIDIA Corporation
from __future__ import absolute_import, division, print_function
from __future__ import unicode_literals
import math
import numpy as np
import python_speech_features as psf
import resampy as rs
import scipy.io.wavfile as wave
def get_speech_features_from_file(filename, num_fe... |
import numpy as np
import math
def grid_reading(key, table):
_key = sorted(key)
order = [key.index(i) for i in _key]
print(list(key))
#print(_key)
print('Порядок использования столбцов:', order)
m = table.shape[0]
res = ''
for j in order:
for i in range(m):
res += ta... |
"""
Copyright (c) Dell Inc., or its subsidiaries. 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
"""
import csv
import dataclasses... |
#!/usr/bin/python
import cv2
import os
import subprocess
import numpy as np
face_cascade = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_default.xml')
face_cascade_alt = cv2.CascadeClassifier('haarcascades/haarcascade_frontalface_alt.xml')
face_cascade_alt2 = cv2.CascadeClassifier('haarcascades/haarcasc... |
from abc import ABC, ABCMeta, abstractmethod, abstractproperty
from torch.nn import Module, MSELoss, Linear
from torch.optim import Adam
import torch
from torch.autograd import Variable
import torch.nn.functional as F
from torch import FloatTensor
import os
import matplotlib as mpl
import torch.nn as nn
mpl.use('Agg')... |
import logging
import os
import shutil
import sys
import tempfile
import click
import numpy as np
import tensorflow as tf
import tensorflow_hub as hub
from word_embeddings import embeddings
def non_zero_tokens(tokens):
"""Receives a batch of vectors of tokens (float) which are zero-padded. Returns a vector of t... |
'''
MIT License
Copyright (c) [2018] <NAME> (<EMAIL>). Universidad de Alcalá. Spain
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... |
# -*- coding: utf-8 -*-
import imageio
import matplotlib.pyplot as plt
import numpy
img = imageio.imread('Z:/DRPI/questoes_aula/sat_map3.tif')
dim = img.shape
col = dim[1]
lin = dim[0]
def histogram(img, s, rgb):
"""
Função que desenha os histogramas
:param img: A imagem
:param s: ... |
__author__ = 'sibirrer'
from astrofunc.LensingProfiles.nfw import NFW
from astrofunc.LensingProfiles.nfw_ellipse import NFW_ELLIPSE
import numpy as np
import numpy.testing as npt
import pytest
class TestNFW(object):
"""
tests the Gaussian methods
"""
def setup(self):
self.nfw = NFW()
d... |
# -*- coding: utf-8 -*-
"""
Created on Fri Mar 1 11:52:48 2019
This is the module for evaluation metrics
@author: Cheng
"""
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 2 21:31:32 2019
@author: cheng
"""
import numpy as np
from scipy.spatial.distance import directed_hausdorff
def get_classified_errors(test_pred... |
from numpy import array, compress, zeros
import wx
from wx.lib.mixins.listctrl import ListCtrlAutoWidthMixin
from spacq.interface.list_columns import ListParser
"""
Embeddable, generic, virtual, tabular display.
"""
class VirtualListCtrl(wx.ListCtrl, ListCtrlAutoWidthMixin):
"""
A generic virtual list.
"""
ma... |
# by protago90
from tictactoe.board import BoardAPI
from abc import abstractmethod
from typing import Callable, List, Optional, Tuple
import random
import time
class PlayerAPI():
SIGNS = BoardAPI.SIGNS # TicTacToe's board hardcoded signs
NAP = 0
ID = 'none'
def __init__(self, sign: str) -> None:
... |
from typing import Union, Iterable, Coroutine, Callable
from inspect import isfunction, ismethod, isroutine, iscoroutine, signature, _empty
import discord
from .. import errors
from .. import utils
# Class Command
class Command:
def __init__(self, _function: Union[Callable, Coroutine], name: str = None, aliases: ... |
# -*- coding: utf-8 -*-
"""
Created on Sat Mar 13 11:40:13 2021
@author: Mayur
"""
"""
Product class has all functinality related to adding/removing/displaying products
"""
class Product:
name = ""
price = 0
def __init__(self):
self.all_products = []
def reset(self):
self.all_... |
import numpy as np
import matplotlib.pyplot as plt
# 常量
pi = 3.1415926
# 声波属性
A = 0.01
u = 343
v = 40000
_lambda = u / v
w = 2 * pi * v
k = 2 * pi / _lambda
T = 2 * pi / w
rho = 1.293
# 悬浮物件的尺度
R = 0.005
# 两点换算为距离
def r(x0, y0, x1=0, y1=0):
return np.sqrt((x0 - x1) ** 2 + (y0 - y1) ** 2)
# 波运算函数
def wave(x1... |
import collect_array as ca
import collect_device as cd
import collect_gen as cg
import collect_id as ci
from processing import collect_loop as cl
def print_dict_sorted(mydict):
keys = sorted(mydict)
entries = ""
for key in keys:
value = mydict[key]
entries += "'" + key + "': " + value.__... |
# Authors: <NAME> <<EMAIL>>
# <NAME> <<EMAIL>>
#
# License: BSD (3-clause)
import math
import numpy as np
from scipy import linalg
from scipy.fftpack import fft, ifft
import six
def _framing(a, L):
shape = a.shape[:-1] + (a.shape[-1] - L + 1, L)
strides = a.strides + (a.strides[-1],)
return np.l... |
import numpy as np
from torchinfo import summary
import pickle
import torch
import datetime
def weights_init(m):
if isinstance(m, torch.nn.Linear):
torch.nn.init.normal_(m.weight,mean=0.0, std=0.00001)
#m.bias.data.fill_(0)
if isinstance(m, torch.nn.Conv2d):
torch.nn.init.normal_(m.wei... |
from django.db import models
from django.utils import timezone
from accounting.models import LedgerAccount, LedgerEntry
class MembershipLevel(models.Model):
"""Descriptor for membership costs and privileges.
:param name: Name of membership level.
:param cost: Cost of this membership level.
:param pe... |
##
import os
import numpy as np
import argparse
import shutil
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch import optim
import torch.utils.data as data_utils
from dataset import Polygon3DSample
from network import ImplicitNet, LossFunction
from common_tools.utils import read_json, dra... |
"""
Helper functions for recipy tests.
"""
# Copyright (c) 2016 University of Edinburgh.
import os
import os.path
import re
import shutil
try:
from ConfigParser import SafeConfigParser
except:
from configparser import SafeConfigParser
from integration_test import database
from integration_test import enviro... |
from typing import Dict, List, Tuple, no_type_check
import jmespath
# import turvallisuusneuvonta.csaf.core.rules.mandatory.acyclic_product_ids as acy_product_ids
# import turvallisuusneuvonta.csaf.core.rules.mandatory.consistent_product_status as con_pro_sta
import turvallisuusneuvonta.csaf.core.rules.mandatory.defi... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals, absolute_import, division
from alchemist.db import session
from alchemist.conf import settings
from importlib import import_module
from alchemist.db.query import Query
from sqlalchemy.orm.util import has_identity
from sqlalchemy.ext.declarative import cls... |
"""Main script for controlling the calculation of the IS spectrum.
Calculate spectra from specified parameters as shown in the examples given in the class
methods, create a new set-up with the `Reproduce` abstract base class in `reproduce.py` or
use one of the pre-defined classes from `reproduce.py`.
"""
# The start ... |
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