






"""simple docstring"""





import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


UpperCamelCase_	:				List[str]										= get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")


class      _lowercase (     lowerCAmelCase		,  unittest.TestCase						):
      _a   :     str								=   BartphoTokenizer
      _a   :     Union[str, Any]								=   False
      _a   :     Any								=   True


      def _UpperCamelCase						(    self				:	Union[str, Any]						):





            """simple docstring"""







            super().setUp()

            __snake_case      :    List[Any]  			=['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']
            __snake_case      :    Any  			=dict(zip(a							,   range(len(a						)						)						)						)
            __snake_case      :    Dict  			={'''unk_token''': '''<unk>'''}

            __snake_case      :    List[Any]  			=os.path.join(self.tmpdirname							,   VOCAB_FILES_NAMES['''monolingual_vocab_file''']						)
            with open(self.monolingual_vocab_file							,   '''w'''							,   encoding='''utf-8'''						) as fp:
                  for token in vocab_tokens:
                        fp.write(f'''{token} {vocab_tokens[token]}\n'''						)

            __snake_case      :    Optional[Any]  			=BartphoTokenizer(a							,   self.monolingual_vocab_file							,   **self.special_tokens_map						)
            tokenizer.save_pretrained(self.tmpdirname						)


      def _UpperCamelCase						(    self				:	Union[str, Any]							,   **a				:	str						):





            """simple docstring"""







            kwargs.update(self.special_tokens_map						)
            return BartphoTokenizer.from_pretrained(self.tmpdirname							,   **a						)


      def _UpperCamelCase						(    self				:	Union[str, Any]							,   a				:	Union[str, Any]						):





            """simple docstring"""







            __snake_case      :    Optional[int]  			='''This is a là test'''
            __snake_case      :    Optional[Any]  			='''This is a<unk><unk> test'''
            return input_text, output_text







      def _UpperCamelCase						(    self				:	List[Any]						):





            """simple docstring"""







            __snake_case      :    Any  			=BartphoTokenizer(a							,   self.monolingual_vocab_file							,   **self.special_tokens_map						)
            __snake_case      :    Optional[int]  			='''This is a là test'''
            __snake_case      :    List[Any]  			='''▁This ▁is ▁a ▁l à ▁t est'''.split()
            __snake_case      :    Union[str, Any]  			=tokenizer.tokenize(a						)
            self.assertListEqual(a							,   a						)

            __snake_case      :    Any  			=tokens + [tokenizer.unk_token]
            __snake_case      :    Optional[int]  			=[4, 5, 6, 3, 3, 7, 8, 3]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(a						)							,   a						)










"""simple docstring"""





from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


UpperCamelCase_	:				str										= {"""processing_layoutxlm""": ["""LayoutXLMProcessor"""]}

try:
    if not is_sentencepiece_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				Union[str, Any]										= ["""LayoutXLMTokenizer"""]

try:
    if not is_tokenizers_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    UpperCamelCase_	:				Optional[int]										= ["""LayoutXLMTokenizerFast"""]

if TYPE_CHECKING:
    from .processing_layoutxlm import LayoutXLMProcessor

    try:
        if not is_sentencepiece_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_layoutxlm import LayoutXLMTokenizer

    try:
        if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
    import sys

    UpperCamelCase_	:				List[Any]										= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


