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import os
from telegram.ext import CommandHandler, MessageHandler, Filters
from settings import WELCOME_MESSAGE, DAFTAR_HARGA, TELEGRAM_SUPPORT_CHAT_ID, REPLY_TO_THIS_MESSAGE, WRONG_REPLY
from telegram import ParseMode, InlineKeyboardMarkup, InlineKeyboardButton
buttons = [
[
InlineKeyboardButton(
... |
import pandas as pd
import torchvision
from torch.utils.data import DataLoader
from tqdm import tqdm
from pre_process import *
from utils import *
warnings.filterwarnings("ignore")
parser = argparse.ArgumentParser(description='MuSE Training')
parser.add_argument('--lr', default=1e-3, type=float, help='learning rate'... |
import numpy as np
import cv2
import random
import tqdm
import utils
import os
DAVIS17_TRAINING_VIDEOS = [
'bear', 'bmx-bumps', 'boat', 'boxing-fisheye', 'breakdance-flare', 'bus',
'car-turn', 'cat-girl', 'classic-car', 'color-run', 'crossing',
'dance-jump', 'dancing', 'disc-jockey', 'dog-agility', 'dog-go... |
from __future__ import print_function
import gdal
import os
import numpy as np
from time import time
import osr
import argparse
import shutil
from scipy import ndimage as ndi
from skimage.filters import gabor_kernel
import multiprocessing as mp
from sklearn.cluster import AffinityPropagation
from sklearn im... |
# -*- coding: utf-8 -*-
# -----------------------------------------------------------------------------
# (C) British Crown Copyright 2017-2019 Met Office.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions a... |
import pandas as pd
import numpy as np
import mapping as mp
from . import strategy
def get_relative_to_expiry_instrument_weights(dates, root_generics, expiries,
offsets, all_monthly=False,
holidays=None):
"""
Generate ... |
from PIL import Image
import os
import time
from typing import List, Tuple, Optional, Dict, Set
# class Vis:
# pass
class VisGrid:
def __init__(self, grid, window_dim, border_width=25, line_width=1, tick_time=0.1,
agent_color="blue", path_width=3, text_size=20):
self.grid = grid
... |
"""GUI for the othello application."""
import logging
import tkinter as tk
import tkinter.messagebox
from random import choice as choose_from
from typing import Optional
from .player import GUIPlayer
from .. import bitboard as bb
from ..ai import ai_default, ai_options, AIOption
from ..board import Board
from ..color... |
import os
import sqlite3
import re
import datetime
def get_tags_by_book(db_con, _id):
c = db_con.execute("""SELECT group_concat(Tags.name)
FROM Tags, BookTags bt, Books
WHERE bt.book_id = Books.id
AND Books.id = ?
... |
#!/usr/bin/python
"""Generate Terraform configuration files from a set of predefined templates.
Copyright 2021 Google LLC. This software is provided as-is, without warranty or
representation for any use or purpose. Your use of it is subject to your
agreement with Google.
"""
import os
import sys
import shutil
impo... |
# Front matter
##############
import os
from os import fdopen, remove
from tempfile import mkstemp
from shutil import move
import glob
import re
import time
import pandas as pd
import numpy as np
from scipy import constants
from scipy.optimize import curve_fit, fsolve
from scipy.interpolate import interp1d
import matpl... |
import os
import cv2
import copy
import numpy as np
import imgaug as ia
from imgaug import augmenters as iaa
from keras.utils import Sequence
import xml.etree.ElementTree as ET
from yok.utils import BoundBox, normalize, bbox_iou
def parse_annotation(ann_dir, img_dir, labels=[]):
count = 0
all_img... |
# -*- coding: utf-8 -*-
from __future__ import absolute_import
import logging
import re
try:
import urlparse
except:
import urllib.parse as urlparse
import urllib
import functools
import locale
import calendar
import time
import requests
import warnings
from amazon.api import AmazonAPI
import dateutil.parser
fr... |
from collections import defaultdict
from datetime import datetime, timedelta, time
from django.template.loader import render_to_string
from django.utils.translation import ugettext as _
from jsonobject.properties import DateTimeProperty
from corehq.apps.app_manager.models import ApplicationBase
from corehq.apps.users.... |
"""
Get Cannabis Data for Connecticut
Copyright (c) 2021 Cannlytics
Author: <NAME>
Contact: <<EMAIL>>
Created: 9/16/2021
Updated: 9/18/2021
License: MIT License <https://github.com/cannlytics/cannlytics-ai/blob/main/LICENSE>
Data Sources:
Connecticut Medical Marijuana Brand Registry: https://data.ct.gov/Health-an... |
""" Module for holding common checking utility functions. """
# Copyright (c) 2012-2013 <NAME>
#
# This file is part of the KMCLib project distributed under the terms of the
# GNU General Public License version 3, see <http://www.gnu.org/licenses/>.
#
import numpy
from KMCLib.Exceptions.Error import Error
def c... |
# MIT License
#
# Copyright (c) 2022 GozZzer
#
# 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... |
from numba import jit
import numpy as np
import matplotlib.pyplot as plt
visualization = True
def show_spheres(scale, points, rgb, label=None):
"""
:param scale: int
:param points: tuple (x, y, z)
:param rgb:
:return:
"""
if label is not None:
print('')
print(label)
p... |
"""Django models representing IIIF canvases and IIIF image server info."""
from genericpath import exists
import os
from boto3 import resource
from bs4 import BeautifulSoup
from urllib.parse import quote
import config.settings.local as settings
from django.db import models
from django.contrib.auth import get_user_model... |
# Copyright 2020 <NAME>
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
# http://www.apache.org/licenses/LICENSE-2.0
# Unless required by applicable law or agreed to in writing, software... |
import os, sys
import numpy as np
import pandas as pd
import seaborn as sns
import matplotlib.pyplot as plt
from anndata import read_mtx
import pegasus as pg
from termcolor import cprint
from sklearn.metrics import silhouette_score
method_list = ["baseline", "pegasus", "seurat", "mnn", "combat", "bbknn"]
figure_index... |
'''
json anlysis
'''
from collections import defaultdict
from .utils import readjson, find_json_file, get_analyzeResult, \
get_pageResults, get_readResults, get_lines, get_tables, get_cells, get_text, \
get_boundingBox, compare_xposition, compare_yposition, outjson
def part1_1(tables, preserveintable, tmptextintable... |
import argparse
import configparser
import os
import sys
sys.path.append('..')
sys.path.append('../..') # if running in this folder
from vimms.Common import IN_SILICO_OPTIMISE_TOPN, load_obj, add_log_file, IN_SILICO_OPTIMISE_SMART_ROI, \
IN_SILICO_OPTIMISE_WEIGHTED_DEW
from vimms.InSilicoSimulation import extrac... |
import math
import numpy as np
from scipy.spatial.transform import Rotation
"""
The rotations can of two types:
1. In a global frame of reference (also known as rotation w.r.t. fixed or extrinsic frame)
2. In a body-centred frame of reference (also known as rotation with respect to current frame of reference.
It is ... |
"""
Provide some basic statistics on the get_valid_cpgs_dataset file before converting it to a data for the nn
"""
import argparse
import os
import sys
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
import seaborn as sns
plt.style.use('seaborn')
sns.set_style('whitegrid')
# Change this when ... |
from flask import redirect, url_for, render_template, request, session, Markup, Blueprint, send_from_directory
import uuid, string, random, json, re
from subprocess import call
import database as db
main = Blueprint("main", __name__)
# All colors that a user can choose from in a chat room
colors = [
"#e0383e", "i... |
# -*- coding: utf-8 -*-
import json
import itertools
from hashlib import md5
from math import isnan
from datetime import datetime
from flask import current_app
from importlib import import_module
from fastnumbers import isfloat
from flask_mongoengine import DynamicDocument
from mongoengine import CASCADE, signals
from... |
import subprocess
import time
import threading
import shelve
import queue
import re
from collections import defaultdict
import urllib.request as request
import urllib
import socket
import datetime
socket.setdefaulttimeout(5)
class DBHandler(object):
"""数据文件操作"""
def __init__(self, file_name, file_... |
"""
This file outlines the interaction between snek and Discord's Gateway API.
"""
import asyncio
import concurrent.futures
import logging
import random
import sys
import threading
import time
import zlib
from typing import Any, Callable, Coroutine, List, Optional
from aiohttp import WSMsgType
from dis_snek.const imp... |
import torch
import torch.nn as nn
def initialize_layer(m):
if isinstance(m, nn.Conv2d):
nn.init.normal_(m.weight, 0.0, 0.02)
nn.init.zeros_(m.bias)
if isinstance(m, nn.Linear):
nn.init.normal_(m.weight, 0.0, 0.02)
nn.init.zeros_(m.bias)
class RelationNonLocal(nn.Module):
... |
from tkinter import *
import tkinter as tk
from tkinter import ttk
from pylsl import StreamInlet, resolve_stream, StreamInfo, StreamOutlet
#import xlwt
from datetime import datetime
running = True
def stop1():
global running
if running == False:
running = True
print("now true")
else:
... |
import random
import os
def jogar():
tema = define_tema()
arquivo = arquivo_do_tema(tema)
palavra_secreta = sorteia_palavra(arquivo)
loop_jogo_forca(palavra_secreta)
def loop_jogo_forca(palavra_secreta):
lista_historico = []
print(f"\nA palavra secreta tem {len(palavra_secreta)} letras\n")... |
from collections import defaultdict
import networkx as nx
import graphviz as gv
from graphviz import Source
import nltk
def load_graph(frame_label2frame_obj, synset_id2synset_obj, rbn_objs, options, verbose=0):
"""
"""
g = nx.Graph()
for frame_label, frame_obj in frame_label2frame_obj.items():
... |
from abc import (
ABC,
abstractmethod,
)
from datetime import datetime
import json
import os
from pathlib import Path
import re
import shutil
import time
from typing import (
List,
Dict,
Union,
Optional,
TypeVar,
Type,
)
import unicodedata
import urllib.parse
import dateutil.tz.tz as tz... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# --------------------------------------------------------------------... |
"""
Description:
Author: <NAME> (<EMAIL>)
Date: 2021-06-06 01:55:29
LastEditors: <NAME> (<EMAIL>)
LastEditTime: 2021-06-06 01:55:30
"""
import os
import argparse
import json
import logging
import logging.handlers
import time
from collections import OrderedDict
from datetime import datetime
from pathlib import Path
fro... |
import pygame
import random
import neat
import os
import numpy as np
from collections import deque
pygame.font.init()
WIN_WIDTH = 600
WIN_HEIGHT = 600
GRID_WIDTH = 250 # 20 x 20 squares
GRID_HEIGHT = 250
TOP_LEFT_X = (WIN_WIDTH-GRID_WIDTH) // 2
TOP_LEFT_Y = (WIN_HEIGHT-GRID_HEIGHT) // 2
CELLWIDTH = 25
LOWER = 4
UPP... |
""" Copyright 2016-2022 by Sophgo Technologies 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 applicab... |
"""
split scRNA-Seq fastq file(01.barcode/{sample}_2.fq)
"""
import glob
import os
from collections import defaultdict
import pysam
import pandas as pd
import celescope.tools.utils as utils
from celescope.tools.step import Step, s_common
from celescope.__init__ import HELP_DICT
from celescope.tools.cellranger3.wrappe... |
from model import *
from config import *
import torch.optim as optim
from collections import OrderedDict
def load(path):
state_dict = torch.load(path)
state_dict_rename = OrderedDict()
for k, v in state_dict.items():
name = k[7:] # remove `module.`
state_dict_rename[name] = v
#print(s... |
import json
import re
import datetime
import time
import sys
import Doberman
import os
import socket
from pymongo import MongoClient
dtnow = datetime.datetime.utcnow
__all__ = 'PrintHelp ProcessCommand'.split()
def print_help(db, name):
print('Accepted commands:')
print('help [<plugin_name>]: help [for spec... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import math
import os
import random
import sys
import time
import numpy as np
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow ... |
"""
AppOpener Project to open apps
Version 0.2.0
By <NAME>
"""
# Imports
import tkinter as tk
from tkinter import filedialog, messagebox
import os
import csv
# Initialising Variables
apps = []
profiles = []
profileName = []
defaultProfile = None
# Functions/Classes
class Profile:
def __init__(self, name, num, ... |
# Copyright (c) 2013, earthians and contributors
# For license information, please see license.txt
from __future__ import unicode_literals
import frappe
def execute(filters=None):
columns = get_columns()
data = get_data(filters)
return columns, data
def get_columns():
columns = [
{
"fieldname": "lot_no",
... |
"""
Support for Mitsubishi heatpumps using https://github.com/SwiCago/HeatPump over MQTT.
For more details about this platform, please refer to the documentation at
https://github.com/lekobob/mitsu_mqtt
"""
import logging
import voluptuous as vol
from homeassistant.components.mqtt import (
CONF_STAT... |
# ----------------------------------------------------------------------------
# cocos2d
# Copyright (c) 2008-2012 <NAME>, <NAME>, <NAME>,
# <NAME>
# Copyright (c) 2009-2019 <NAME>, <NAME>
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provid... |
# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
r"""
Basic training script for PyTorch
"""
# Set up custom environment before nearly anything else is imported
# NOTE: this should be the first import (no not reorder)
from maskrcnn_benchmark.utils.env import setup_environment # noqa F401 isort:s... |
"""
Pontos para serem melhorados:
* Descobrir como salvar o QRcode em um tipo de buffer que o OpenCV leia
* Descobrir como salvar a imagem gerada pelo OpenCV em buffer para que o PIL leia/ou
descobrir como salvar em pdf pelo próprio OpenCV
* Verificar as questões de resolução de cartões para as pá... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import os
import os.path as op
import sys
import pandas as pd
import logging
#import simplejson as json
import yaml
from jcvi.apps.base import sh, mkdir
def get_gsize(fs):
cl = pd.read_csv(fs, sep="\t", header=None, names=['chrom','size'])
return sum(cl['size'])
... |
# Copyright (c) 2013 The Chromium OS Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
# This module is not automatically loaded by the `cros` helper. The filename
# would need a "cros_" prefix to make that happen. It lives here so tha... |
import tarfile
import numpy as np
import os
import sys
import h5py
from scipy import ndimage
import random
import pickle
from matplotlib import pyplot as plt
def maybe_extract(filename, force=False):
root = os.path.splitext(os.path.splitext(filename)[0])[0] # remove .tar.gz
if os.path.isdir(root) and not for... |
import numpy as np
import os
from .utils.utils import get_yolo_boxes, makedirs
def evaluate_full(model,
generator,
obj_thresh = 0.5,
nms_thresh = 0.5,
net_h = 416,
net_w = 416,
save_path = ""):
# Predict box... |
# -*- coding: utf-8 -*-
"""
Created on Mon Jun 11 21:43:14 2018
@author: robot
"""
import plotly.plotly as py
import plotly.graph_objs as go
import plotly
import random
import numpy as np
import copy as cp
import copy
import readCfg.read_cfg as rd
from IPython.display import HTML,display
import colorlover as cl
impo... |
# Copyright (C) 2021-2022 Modin authors
#
# SPDX-License-Identifier: Apache-2.0
"""Common classes and utilities."""
import logging
from unidist.core.backends.common.data_id import DataID, is_data_id
class Operation:
"""
Class that describes supported operations.
Attributes
----------
EXECUTE :... |
""" OpenAPISpecParser, OpenAPISpecException """
from os import path
from pathlib import Path
from sys import modules
from flask import request
from werkzeug.exceptions import BadRequest
from yaml import load
from requests import get
from typing import Callable, Any
from re import match
from .response import APIExcept... |
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.nn import TransformerEncoder, TransformerEncoderLayer
import math, os
from dataset.dolphin import DOLPHINVIDEOVRD, get_transform
from model.helper.utility import cpu_or_gpu, git_root
from model.helper.parser import DolphinParser
from rnn i... |
# Copyright 2021 Spectra Logic 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. A copy of the License is located at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# or in the "license" file ... |
# -*- coding: utf-8 -*-
# Importing the libraries
import numpy as np
import matplotlib.pyplot as plt
import pandas as pd
from scipy.stats import mode
from sklearn.preprocessing import LabelEncoder
from sklearn.linear_model import LinearRegression
from sklearn.model_selection import train_test_split
from sklearn.linear... |
from typing import Dict
from datetime import datetime
from ged4py import GedcomReader
from ged4py.model import Record, NameRec
from ged4py.date import DateValueVisitor
from models.Human import Human, LifeEvent
from models.Pos import Pos
from gedcomoptions import gvOptions
homelocationtags = ('OCCU', 'CENS', 'EDUC')
... |
import inspect
import io
import json
import logging
import os
import sys
import six
def ensure_path_exists(path):
path = os.path.expanduser(path)
if not os.path.exists(path):
os.makedirs(path)
return path
logger = logging.getLogger(__name__)
class ConfigurationRegistry(object):
def __ini... |
# coding=utf-8
# Basically a listener for events sent by github (and maybe youtube, later on).
import re
import os
import sys
import json
import hmac
import yaml
import random
import datetime
import logging
from hashlib import sha1
from flask import Flask, send_from_directory, request, abort, url_for
from jinja2 impo... |
"""passbook core authentication views"""
from typing import Dict, Optional
from django.contrib import messages
from django.contrib.auth import login, logout
from django.contrib.auth.mixins import LoginRequiredMixin, UserPassesTestMixin
from django.forms.utils import ErrorList
from django.http import HttpRequest, HttpR... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import os
import math
import operator, collections
import numpy as np
import scipy.ndimage
import matplotlib.pyplot as plt
from features import extract_features
from save_features import feature_vector, dump, load, label_vec
data_dir = '../data/CXR_png_complete/'
# 0 -... |
import numpy as np
from . import torch_warp as t_warp
import torch
from torch.autograd import Variable
import scipy
# this file is to find the TVL1 energy of the optical flow vector
def compute_flow_gradient(flowvector,pixelposx,pixelposy,imgwidth,imgheight):
ux_grad = 0
uy_grad = 0
if pixelposx > 0 and ... |
#!pip install --upgrade pip
#!pip install pandas bs4 requests lxml html5lib pandas lxml html5lib BeautifulSoup4
import pandas as pd
import requests
import bs4
import json
import re
import time
import bs4
import xml.etree.ElementTree as ET
import re
def bash_regex_to_python_regex(r):
"*.mp3 -> ^.*\.mp3$"
... |
import tarfile
from datetime import timedelta
from pathlib import Path
from time import perf_counter
import PIL.Image
import h5py
import numpy as np
from tqdm import tqdm
from torchdata.logger import log
from torchdata.utils import download_file, remote_file, md5sum
MPII_Joint_Names = ['right_ankle', 'right_knee', ... |
# Copyright (c) 2019 Mycroft AI, Inc. and <NAME>
#
# This file is part of Mycroft Light
# (see https://github.com/MatthewScholefield/mycroft-light).
#
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional i... |
##
# This software was developed and / or modified by Raytheon Company,
# pursuant to Contract DG133W-05-CQ-1067 with the US Government.
#
# U.S. EXPORT CONTROLLED TECHNICAL DATA
# This software product contains export-restricted data whose
# export/transfer/disclosure is restricted by U.S. law. Dissemination
# to ... |
from pyexpat import features
import numpy as np
from src.io import npy_events_tools
from src.io import psee_loader
import tqdm
import os
from numpy.lib import recfunctions as rfn
import torch
import time
import math
import argparse
def generate_agile_event_volume_cuda(events, shape, events_window = 50000, volume_bins... |
from __future__ import annotations
import asyncio
import functools
import inspect
import logging
import uuid
from dataclasses import asdict, dataclass
from enum import Enum
from typing import Any, Awaitable, Callable, Optional
from ocpp.charge_point import camel_to_snake_case, remove_nones, snake_to_camel_case
from o... |
import cfile as C
import os
import io
import autosar
innerIndentDefault=3 #default indendation (number of spaces)
def _genCommentHeader(comment):
code = C.sequence()
code.append(C.line('/********************************************************************************************************************... |
# Copyright 2015 The Bazel 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 logging
import random
from django.utils.translation import ugettext as _
from django.conf import settings
from django.db import models
from django.contrib.contenttypes.models import ContentType
from django.utils import translation
from django.utils import timezone
from django_extensions.db.fields import Modific... |
#coding=utf-8
#__author__ = 'zgs'
import os
import socket
import time
import cv2
import base64
from tqdm import tqdm
import argparse
import threading
import struct
import sys
from common.base import *
from dataset_config import *
def init_path():
cur_path = os.path.abspath('.')
comm_path = cur_path + "/common... |
import numpy as np
''' DATA
NAME WEIGHT GROWTH GENDER
Alice 133 65 F
Bob 160 72 M
Charlie 152 70 M
Diana 120 60 F
NAME WEIGHT(Minus 135) GROWTH(Minus 66) GENDER(1 - F, 0 - M)
Alice ... |
import unittest
def parse_grades(grades_string):
GRADES = ['PK', 'K', '1', '2', '3', '4', '5', '6', '7', '8', '9', '10', '11', '12', 'Ungraded']
# Remove & for grades list
grades_string = grades_string.replace(' &', ',')
# Grades list - will add to separated grade string to grades
grades = []
... |
from logging import getLogger
from pathlib import Path
import random
import numpy as np
import h5py as h5
from scipy.optimize import minimize
import yaml
import isle
# This script is a fork of Jan-<NAME> make-train-data.py in foldilearn.
# foldilearn introduced Machine Learning parametrization of Lefschetz thimbles
# ... |
# SPDX-License-Identifier: BSD-3-Clause
from time import localtime, mktime, struct_time, time
from typing import Callable, Iterator, Sequence, Tuple, cast
import re
_numOfDays = (0, 31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31)
_timePattern = re.compile(
r'\s*((?:20)?\d\d)([-./])(0?[1-9]|1[0-2])\2(0?[1-9]|[12]... |
try:
import matplotlib
matplotlib.use('WXAgg')
import numpy
from matplotlib.pyplot import cm
import types
numpy.seterr(invalid='ignore')
except ImportError:
pass
"""@package pipeline_display
This package allows easy plotting of pipeline data (images, spectra, tables)
with a few class method... |
# uncompyle6 version 3.2.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 2.7.15 (v2.7.15:ca079a3ea3, Apr 30 2018, 16:30:26) [MSC v.1500 64 bit (AMD64)]
# Embedded file name: posixpath
import os, sys, stat, genericpath, warnings
from genericpath import *
try:
_unicode = unicode
except NameError:
class... |
import codecs
import json
import logging
import os
import textwrap
import traceback
from dataclasses import asdict
from datetime import datetime
from io import BytesIO
from typing import Optional
import pytz
import telegram
from dotenv import load_dotenv
from telegram import InlineKeyboardButton, InlineKeyboardMarkup
... |
import datetime
import hashlib
import io
import os
import pickle
import random
from typing import Any, List, Type
import pytest
from beancount import loader
from beancount.core import data, distribution
from beancount.scripts import example # type: ignore
from pydantic import BaseModel
from bdantic import models, ty... |
import torch
import torch.nn as nn
import torch.nn.functional as F
import os
import numpy as np
import time
import cv2
from tqdm import tqdm
from model_wrappers.ldf_wrapper import LDF_Wrapper
import logging
def get_mae(img1, img2):
# get mae from two gray scale images
ims = []
for pred in [img1, img2]:
... |
import bpy
from PIL import ImageDraw
import os
import torch
import cv2
import math
import numpy as np
from math import radians
from PIL import Image, ImageFilter
from dataset.data_utils import process_viewpoint_label, TransLightning, resize_pad, random_crop
import torchvision.transforms as transforms
from model.resnet ... |
from abc import abstractmethod
import debug
from premise import Premise
from tokens import Token
from copy import deepcopy
from rules_core.negation import negate
from output import Step, StepType
import re
class MasterPool:
pools: list['Pool'] = []
def add():
pool = Pool()
MasterPool.pools.app... |
# -*- coding: utf-8 -*-
"""
gc3-query.sec_list [9/9/2018 11:47 AM]
~~~~~~~~~~~~~~~~
<DESCR SHORT>
<DESCR>
"""
# ################################################################################
# ## Standard Library Imports
# import sys, os
# from typing import List, Optional, Any, Callable, Dict, Tuple, Union, S... |
#!/usr/bin/env python3
""" Program to load and parse csv files."""
#from collections import Counter
import sys, random, csv, os
from shutil import copy2
DATE = "26 May 2022"
VERSION = "ii"
AUTHOR = "<NAME>"
AUTHORMAIL = "<EMAIL>"
THISPROG = sys.argv[0].replace("./","")
WHATISTHIS_p1 = f"""
\t {THISPROG}
\t A grade... |
import numpy as np
import pandas as pd
from typing import List, Union, Tuple
import random
from macrosynergy.management.simulate_quantamental_data import make_qdf
def reduce_df(df: pd.DataFrame, xcats: List[str] = None, cids: List[str] = None,
start: str = None, end: str = None, blacklist: dict = None... |
import argparse
import sys
print()
print(" ".join(sys.argv))
print()
parser = argparse.ArgumentParser('Options for model configuration and training')
parser.add_argument('--num_epochs', type=int, default=100, help="Number of iterations to run training for")
parser.add_argument('--starting_epoch', type=int, default=0,... |
"""Extract the user warnings templates and the options specified in user talk pages"""
import json
import more_itertools
import mwxml
import datetime
from typing import Iterable, Iterator, Mapping
from backports.datetime_fromisoformat import MonkeyPatch
from .. import extractors, utils
# Polyfiller for retrocompatib... |
# Copyright 2021 Huawei Technologies Co., Ltd
#
# 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... |
# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not u... |
# %%
# %matplotlib widget
import base64
import io
import pathlib
import ipyvuetify as v
import ipywidgets as widgets
import matplotlib as mpl
import matplotlib.pyplot as plt
import numpy as np
from controls import SpectralBandsControlPanel
parameters = {
'model': 6,
'range': 1,
'haze': 1,
'spectral_... |
# coding=utf8
import tensorflow as tf
from options import Options as opt
from tqdm import tqdm
import time
if opt.energy == 'KL':
print("Using KL Energy")
from utils.distance import diagKL as dist
elif opt.energy == 'CE':
print("Using CE Energy")
from utils.distance import diagCE as dist
elif opt.ener... |
import os
import cv2
import matplotlib.pyplot as plt
import numpy as np
from PIL import Image, ImageChops
from config_parser.config import CONFIG, IMAGE_PARAMS
try:
import deformation
HAS_DEFORMATION_LIB = True
except ModuleNotFoundError:
HAS_DEFORMATION_LIB = False
W = IMAGE_PARAMS["W"]
H = IMAGE_PARA... |
import models.model_factory as factory
import models.gm_utils as gm_utils
from options import TrainOptions, Options
from constants import OUT_DIR
from show.view_utils import view
from custom_types import *
from process_data.mesh_loader import get_loader, AnotherLoaderWrap
from process_data.files_utils import collect, i... |
''' Script to check the pymosa modules for the online monitor
Simulation producer, interpreter converter and receiver.
'''
import os
import sys
import unittest
import yaml
import time
import psutil
from PyQt5.QtWidgets import QApplication
from online_monitor import OnlineMonitor
import pymosa
from pymosa.online... |
import sys
import numpy as np
from gym import utils
from gym.envs.toy_text import discrete
from six import StringIO
LEFT = 0
DOWN = 1
RIGHT = 2
UP = 3
MAPS = {
"4x4": [ # Simple balanced paths
"S ",
" WW ",
" W ",
" G"
],
"5x5": [ # Unbalanced wi... |
from .output import pretty_draw
from .misc import constant, dataframe_value_mapping
import networkx as nx
import pandas as pd
import numpy as np
from copy import copy, deepcopy
from .formats import bif_parser
import os.path
from itertools import repeat, combinations
from .factor import TableFactor, DictValueMapping
d... |
import logging
from abc import ABCMeta, abstractmethod
import hgvsp
import numpy as np
import pandas as pd
from numpy.testing import assert_array_equal
from tqdm import tqdm
from joblib import Parallel, delayed
from . import constants, utilities, exceptions, LOGGER
logger = logging.getLogger(LOGGER)
class Vali... |
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