





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


_lowercase		:  int			       =get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")






class 						UpperCamelCase_  (  snake_case__  ,     unittest.TestCase							):
					_a      :						int						    =					BartphoTokenizer
					_a      :						int						    =					False
					_a      :						Optional[Any]						    =					True



					def   __a     (		self     :     List[str]						):
							super().setUp()

							lowerCamelCase_	:     Optional[Any] 						=      ['▁This', '▁is', '▁a', '▁t', 'est']
							lowerCamelCase_	:     Optional[Any] 						=      dict(zip(lowerCamelCase       ,      range(len(lowerCamelCase						)						)						)						)
							lowerCamelCase_	:     Tuple 						=      {'unk_token': '<unk>'}

							lowerCamelCase_	:     Dict 						=      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"						)

							lowerCamelCase_	:     List[str] 						=      BartphoTokenizer(lowerCamelCase       ,      self.monolingual_vocab_file       ,      **self.special_tokens_map						)
							tokenizer.save_pretrained(self.tmpdirname						)



					def   __a     (		self     :     Tuple       ,      **lowerCamelCase     :     Any						):
							kwargs.update(self.special_tokens_map						)
							return BartphoTokenizer.from_pretrained(self.tmpdirname       ,      **lowerCamelCase						)



					def   __a     (		self     :     Dict       ,      lowerCamelCase     :     str						):
							lowerCamelCase_	:     Any 						=      'This is a là test'
							lowerCamelCase_	:     int 						=      'This is a<unk><unk> test'
							return input_text, output_text





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

							lowerCamelCase_	:     Union[str, Any] 						=      tokens + [tokenizer.unk_token]
							lowerCamelCase_	:     Union[str, Any] 						=      [4, 5, 6, 3, 3, 7, 8, 3]
							self.assertListEqual(tokenizer.convert_tokens_to_ids(lowerCamelCase						)       ,      lowerCamelCase						)







_lowercase		:  Optional[Any]			       ="""
# Transformers installation
! pip install transformers datasets
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
"""

_lowercase		:  Union[str, Any]			       =[{"""type""": """code""", """content""": INSTALL_CONTENT}]
_lowercase		:  List[Any]			       ={
    """{processor_class}""": """FakeProcessorClass""",
    """{model_class}""": """FakeModelClass""",
    """{object_class}""": """FakeObjectClass""",
}
