"""simple docstring"""







import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='%(asctime)s - %(levelname)s - %(name)s - %(message)s', datefmt='%m/%d/%Y %H:%M:%S', level=logging.INFO
)
SCREAMING_SNAKE_CASE									=						logging.getLogger(__name__)


def      __lowerCAmelCase(		):






	"""simple docstring"""





	_lowercase :    Optional[Any]							=							argparse.ArgumentParser(
	    description='Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids).'			)
	parser.add_argument('--file_path'     ,type=__UpperCAmelCase     ,default='data/dump.txt'     ,help='The path to the data.'			)
	parser.add_argument('--tokenizer_type'     ,type=__UpperCAmelCase     ,default='bert'     ,choices=['bert', 'roberta', 'gpt2']			)
	parser.add_argument('--tokenizer_name'     ,type=__UpperCAmelCase     ,default='bert-base-uncased'     ,help='The tokenizer to use.'			)
	parser.add_argument('--dump_file'     ,type=__UpperCAmelCase     ,default='data/dump'     ,help='The dump file prefix.'			)
	_lowercase :    List[Any]							=							parser.parse_args()

	logger.info(F'''Loading Tokenizer ({args.tokenizer_name})'''			)
	if args.tokenizer_type == "bert":
		_lowercase :    Union[str, Any]							=							BertTokenizer.from_pretrained(args.tokenizer_name			)
		_lowercase :    Union[str, Any]							=							tokenizer.special_tokens_map['cls_token']  # `[CLS]`
		_lowercase :    Any							=							tokenizer.special_tokens_map['sep_token']  # `[SEP]`
	elif args.tokenizer_type == "roberta":
		_lowercase :    Tuple							=							RobertaTokenizer.from_pretrained(args.tokenizer_name			)
		_lowercase :    Tuple							=							tokenizer.special_tokens_map['cls_token']  # `<s>`
		_lowercase :    Tuple							=							tokenizer.special_tokens_map['sep_token']  # `</s>`
	elif args.tokenizer_type == "gpt2":
		_lowercase :    int							=							GPTaTokenizer.from_pretrained(args.tokenizer_name			)
		_lowercase :    Optional[Any]							=							tokenizer.special_tokens_map['bos_token']  # `<|endoftext|>`
		_lowercase :    int							=							tokenizer.special_tokens_map['eos_token']  # `<|endoftext|>`

	logger.info(F'''Loading text from {args.file_path}'''			)
	with open(args.file_path     ,'r'     ,encoding='utf8'			) as fp:
		_lowercase :    int							=							fp.readlines()

	logger.info('Start encoding'			)
	logger.info(F'''{len(__UpperCAmelCase			)} examples to process.'''			)

	_lowercase :    Any							=							[]
	_lowercase :    Optional[Any]							=							0
	_lowercase :    List[Any]							=							10_000
	_lowercase :    Union[str, Any]							=							time.time()
	for text in data:
		_lowercase :    str							=							F'''{bos} {text.strip()} {sep}'''
		_lowercase :    Optional[int]							=							tokenizer.encode(__UpperCAmelCase     ,add_special_tokens=__UpperCAmelCase			)
		rslt.append(__UpperCAmelCase			)

		iter += 1
		if iter % interval == 0:
			_lowercase :    Dict							=							time.time()
			logger.info(F'''{iter} examples processed. - {(end-start):.2f}s/{interval}expl'''			)
			_lowercase :    Optional[int]							=							time.time()
	logger.info('Finished binarization'			)
	logger.info(F'''{len(__UpperCAmelCase			)} examples processed.'''			)

	_lowercase :    int							=							F'''{args.dump_file}.{args.tokenizer_name}.pickle'''
	_lowercase :    int							=							tokenizer.vocab_size
	if vocab_size < (1 << 16):
		_lowercase :    str							=							[np.uintaa(__UpperCAmelCase			) for d in rslt]
	else:
		_lowercase :    Tuple							=							[np.intaa(__UpperCAmelCase			) for d in rslt]
	random.shuffle(rslt_			)
	logger.info(F'''Dump to {dp_file}'''			)
	with open(__UpperCAmelCase     ,'wb'			) as handle:
		pickle.dump(rslt_     ,__UpperCAmelCase     ,protocol=pickle.HIGHEST_PROTOCOL			)


if __name__ == "__main__":
						main()




"""simple docstring"""







import os
from typing import Optional

import fsspec
from fsspec.archive import AbstractArchiveFileSystem
from fsspec.utils import DEFAULT_BLOCK_SIZE



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  ""
				_snake_case     =  (
				    None  # protocol passed in prefix to the url. ex: "gzip", for gzip://file.txt::http://foo.bar/file.txt.gz
				)
				_snake_case     =  None  # compression type in fsspec. ex: "gzip"
				_snake_case     =  None  # extension of the filename to strip. ex: "".gz" to get file.txt from file.txt.gz







				def __init__( self    :       str			,					lowerCamelCase_    :       str = ""			,					lowerCamelCase_    :       Optional[str] = None			,					lowerCamelCase_    :       Optional[dict] = None			,					**lowerCamelCase_    :       List[str]						):

					"""simple docstring"""






					super().__init__(self			,					**lowerCamelCase_						)
					# always open as "rb" since fsspec can then use the TextIOWrapper to make it work for "r" mode
					_lowercase :    Union[str, Any]							=							fsspec.open(
					    lowerCamelCase_			,					mode='rb'			,					protocol=lowerCamelCase_			,					compression=self.compression			,					client_kwargs={
					        'requote_redirect_url': False,  # see https://github.com/huggingface/datasets/pull/5459
					        'trust_env': True,  # Enable reading proxy env variables.
					        **(target_options or {}).pop('client_kwargs'			,					{}						),  # To avoid issues if it was already passed.
					    }			,					**(target_options or {})			,					)
					_lowercase :    str							=							os.path.basename(self.file.path.split('::'						)[0]						)
					_lowercase :    Optional[int]							=							(
					    self.compressed_name[: self.compressed_name.rindex('.'						)]
					    if '.' in self.compressed_name
					    else self.compressed_name
					)
					_lowercase :    str							=							None







				@classmethod
				def 							__UpperCAmelCase					( cls    :       int			,					lowerCamelCase_    :       List[str]						):

					"""simple docstring"""






					return super()._strip_protocol(lowerCamelCase_						).lstrip('/'						)







				def 							__UpperCAmelCase					( self    :       Optional[Any]						):

					"""simple docstring"""






					if self.dir_cache is None:
						_lowercase :    Tuple							=							{**self.file.fs.info(self.file.path						), 'name': self.uncompressed_name}
						_lowercase :    int							=							{f['name']: f}







				def 							__UpperCAmelCase					( self    :       List[str]			,					lowerCamelCase_    :       str						):

					"""simple docstring"""






					return self.file.open().read()







				def 							__UpperCAmelCase					( self    :       Dict			,					lowerCamelCase_    :       str			,					lowerCamelCase_    :       str = "rb"			,					lowerCamelCase_    :       str=None			,					lowerCamelCase_    :       str=True			,					lowerCamelCase_    :       Union[str, Any]=None			,					**lowerCamelCase_    :       Optional[int]			,					):

					"""simple docstring"""






					_lowercase :    Union[str, Any]							=							self._strip_protocol(lowerCamelCase_						)
					if mode != "rb":
						raise ValueError(F'''Tried to read with mode {mode} on file {self.file.path} opened with mode \'rb\''''						)
					return self.file.open()



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  "bz2"
				_snake_case     =  "bz2"
				_snake_case     =  ".bz2"



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  "gzip"
				_snake_case     =  "gzip"
				_snake_case     =  ".gz"



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  "lz4"
				_snake_case     =  "lz4"
				_snake_case     =  ".lz4"



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  "xz"
				_snake_case     =  "xz"
				_snake_case     =  ".xz"



class  _lowerCamelCase			(__lowerCamelCase     ):
				_snake_case     =  "zstd"
				_snake_case     =  "zstd"
				_snake_case     =  ".zst"







				def __init__( self    :       Union[str, Any]			,					lowerCamelCase_    :       str			,					lowerCamelCase_    :       str = "rb"			,					lowerCamelCase_    :       Optional[str] = None			,					lowerCamelCase_    :       Optional[dict] = None			,					lowerCamelCase_    :       int = DEFAULT_BLOCK_SIZE			,					**lowerCamelCase_    :       int			,					):

					"""simple docstring"""






					super().__init__(
					    fo=lowerCamelCase_			,					mode=lowerCamelCase_			,					target_protocol=lowerCamelCase_			,					target_options=lowerCamelCase_			,					block_size=lowerCamelCase_			,					**lowerCamelCase_			,					)
					# We need to wrap the zstd decompressor to avoid this error in fsspec==2021.7.0 and zstandard==0.15.2:
					#
					# File "/Users/user/.virtualenvs/hf-datasets/lib/python3.7/site-packages/fsspec/core.py", line 145, in open
					#     out.close = close
					# AttributeError: 'zstd.ZstdDecompressionReader' object attribute 'close' is read-only
					#
					# see https://github.com/intake/filesystem_spec/issues/725
					_lowercase :    Any							=							self.file.__enter__



					class  _lowerCamelCase			:







									def __init__( self    :       Any			,					lowerCamelCase_    :       List[Any]						):

										"""simple docstring"""






										_lowercase :    Tuple							=							file_







									def __enter__( self    :       str						):

										"""simple docstring"""






										self._file.__enter__()
										return self







									def __exit__( self    :       Union[str, Any]			,					*lowerCamelCase_    :       Optional[Any]			,					**lowerCamelCase_    :       Union[str, Any]						):

										"""simple docstring"""






										self._file.__exit__(*lowerCamelCase_			,					**lowerCamelCase_						)







									def __iter__( self    :       Optional[int]						):

										"""simple docstring"""






										return iter(self._file						)







									def 							__UpperCAmelCase					( self    :       int						):

										"""simple docstring"""






										return next(self._file						)







									def __getattr__( self    :       List[str]			,					lowerCamelCase_    :       str						):

										"""simple docstring"""






										return getattr(self._file			,					lowerCamelCase_						)

					def fixed_enter(*lowerCamelCase_    :       List[Any]			,					**lowerCamelCase_    :       int						):
						return WrappedFile(_enter(*lowerCamelCase_			,					**lowerCamelCase_						)						)

					_lowercase :    Optional[int]							=							fixed_enter



