





'''simple docstring'''


import os
from shutil import copyfile
from typing import List, Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
				from .tokenization_xglm import XGLMTokenizer
else:
				_lowerCamelCase					:						int					     =							None


_lowerCamelCase					:						Tuple					     =							logging.get_logger(__name__)

_lowerCamelCase					:						Tuple					     =							{"""vocab_file""": """sentencepiece.bpe.model""", """tokenizer_file""": """tokenizer.json"""}

_lowerCamelCase					:						Any					     =							{
    """vocab_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/sentencepiece.bpe.model""",
    },
    """tokenizer_file""": {
        """facebook/xglm-564M""": """https://huggingface.co/facebook/xglm-564M/resolve/main/tokenizer.json""",
    },
}

_lowerCamelCase					:						Any					     =							{
    """facebook/xglm-564M""": 2048,
}



class 				__UpperCAmelCase	(							_SCREAMING_SNAKE_CASE    ):







		'''simple docstring'''







		__lowerCAmelCase								=     VOCAB_FILES_NAMES
		__lowerCAmelCase								=     PRETRAINED_VOCAB_FILES_MAP
		__lowerCAmelCase								=     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		__lowerCAmelCase								=     ['''input_ids''', '''attention_mask''']
		__lowerCAmelCase								=     XGLMTokenizer







		def __init__(self    :   Any   ,   _lowerCAmelCase    :   Tuple=None   ,   _lowerCAmelCase    :   Dict=None   ,   _lowerCAmelCase    :   Any="<s>"   ,   _lowerCAmelCase    :   Union[str, Any]="</s>"   ,   _lowerCAmelCase    :   Optional[int]="</s>"   ,   _lowerCAmelCase    :   str="<s>"   ,   _lowerCAmelCase    :   int="<unk>"   ,   _lowerCAmelCase    :   Dict="<pad>"   ,   **_lowerCAmelCase    :   Union[str, Any]   ,   ):
			# Compatibility with the original tokenizer
			A					=   7
			A					=   [F"""<madeupword{i}>""" for i in range(self.num_madeup_words   )]

			A					=   kwargs.get("""additional_special_tokens"""   ,   []   )
			kwargs["additional_special_tokens"] += [
			    word for word in madeup_words if word not in kwargs["additional_special_tokens"]
			]

			super().__init__(
			    __A   ,   tokenizer_file=__A   ,   bos_token=__A   ,   eos_token=__A   ,   sep_token=__A   ,   cls_token=__A   ,   unk_token=__A   ,   pad_token=__A   ,   **__A   ,   )

			A					=   vocab_file
			A					=   False if not self.vocab_file else True







		def 							A  (self    :   List[str]   ,   _lowerCAmelCase    :   int   ,   _lowerCAmelCase    :   Any = None   ):

			if token_ids_a is None:
				return [self.sep_token_id] + token_ids_a
			A					=   [self.sep_token_id]
			return sep + token_ids_a + sep + sep + token_ids_a







		def 							A  (self    :   int   ,   _lowerCAmelCase    :   str   ,   _lowerCAmelCase    :   int = None   ):
			A					=   [self.sep_token_id]

			if token_ids_a is None:
				return len(sep + token_ids_a   ) * [0]
			return len(sep + token_ids_a + sep + sep + token_ids_a   ) * [0]







		def 							A  (self    :   str   ,   _lowerCAmelCase    :   int   ,   _lowerCAmelCase    :   Dict = None   ):
			if not self.can_save_slow_tokenizer:
				raise ValueError(
				    """Your fast tokenizer does not have the necessary information to save the vocabulary for a slow """
				    """tokenizer."""   )

			if not os.path.isdir(__A   ):
				logger.error(F"""Vocabulary path ({save_directory}) should be a directory."""   )
				return
			A					=   os.path.join(
			    __A   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]   )

			if os.path.abspath(self.vocab_file   ) != os.path.abspath(__A   ):
				copyfile(self.vocab_file   ,   __A   )

			return (out_vocab_file,)





"""simple docstring"""







import pytest

from datasets.utils.version import Version
@pytest.mark.parametrize(
    '''other, expected_equality'''			,       [
        (Version('''1.0.0'''						), True),
        ('''1.0.0''', True),
        (Version('''2.0.0'''						), False),
        ('''2.0.0''', False),
        ('''1''', False),
        ('''a''', False),
        (1, False),
        (None, False),
    ]			,       )
def _A		(		lowercase			,       lowercase						):







    """simple docstring"""
    a											=Version('''1.0.0'''						)
    assert (version == other) is expected_equality
    assert (version != other) is not expected_equality
    assert (hash(lowercase						) == hash(lowercase						)) is expected_equality