pszemraj

from rapidfuzz import process, fuzz


def fuzzy_align(masterlist, list2, cutoff=70):
    # Dictionary to hold matches
    matches = {}

    # Track used indices to avoid duplicate matches in the masterlist
    used_indices = set()

pszemraj

import logging
from email.parser import BytesParser
from pathlib import Path

import fire
import html2text
import pandas as pd
from tqdm import tqdm

# Setup logging

pszemraj

import os

import numpy as np

from datasets import ClassLabel, Dataset, DatasetDict


def split_dataset(
    dataset: Dataset,
    test_size=0.025,

pszemraj

"""
this script will upload a folder to Hugging Face Hub

    python upload_folder.py --help

pip install fire huggingface-hub
"""

import logging

pszemraj

import json
import socket
import uuid

import yake
from flask import Flask, redirect, render_template_string, request, url_for
from markupsafe import escape

app = Flask(__name__)

pszemraj

import logging

import torch


def configure_tf32():
    """
    Enable TF32 precision for GPUs with compute capability >= 8.0 (Ampere+).
    """
    if not torch.cuda.is_available():

pszemraj

"""
cli.py - Command line interface for textsum.

this edition: fast CPU inference with intel IPEX https://archive.ph/oY5b1

Usage:
    textsum-dir --help
"""

import os

pszemraj

import json
import logging
import re
from datetime import datetime
from pathlib import Path

import datasets
import evaluate
import fire
import intel_extension_for_pytorch as ipex

pszemraj

#!/usr/bin/env python
# coding=utf-8
# Copyright 2020 The HuggingFace Inc. team. 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
#

pszemraj

"""Summary
"""
import logging
from pathlib import Path

import fire
from datasets import Dataset, load_dataset
from tqdm.auto import tqdm
from transformers import AutoTokenizer