





'''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


lowerCAmelCase									=   get_tests_dir("""fixtures/test_sentencepiece_bpe.model""")
class 		lowerCamelCase	(   _A   , unittest.TestCase							):
	snake_case_   = BartphoTokenizer
	snake_case_   = False
	snake_case_   = True



	def 	_lowerCamelCase     ( self						):
			super().setUp()

			lowerCAmelCase  :     Union[str, Any]       						= ["▁This", "▁is", "▁a", "▁t", "est"]
			lowerCAmelCase  :     str       						= dict(zip(lowerCamelCase_		,   range(len(lowerCamelCase_						)						)						)						)
			lowerCAmelCase  :     List[Any]       						= {"unk_token": "<unk>"}

			lowerCAmelCase  :     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'''						)

			lowerCAmelCase  :     Any       						= BartphoTokenizer(lowerCamelCase_		,   self.monolingual_vocab_file		,   **self.special_tokens_map						)
			tokenizer.save_pretrained(self.tmpdirname						)



	def 	_lowerCamelCase     ( self		,   **a_						):
			kwargs.update(self.special_tokens_map						)
			return BartphoTokenizer.from_pretrained(self.tmpdirname		,   **lowerCamelCase_						)



	def 	_lowerCamelCase     ( self		,   a_						):
			lowerCAmelCase  :     Union[str, Any]       						= "This is a là test"
			lowerCAmelCase  :     List[str]       						= "This is a<unk><unk> test"
			return input_text, output_text





	def 	_lowerCamelCase     ( self						):
			lowerCAmelCase  :     Union[str, Any]       						= BartphoTokenizer(lowerCamelCase_		,   self.monolingual_vocab_file		,   **self.special_tokens_map						)
			lowerCAmelCase  :     Union[str, Any]       						= "This is a là test"
			lowerCAmelCase  :     int       						= "▁This ▁is ▁a ▁l à ▁t est".split()
			lowerCAmelCase  :     int       						= tokenizer.tokenize(lowerCamelCase_						)
			self.assertListEqual(lowerCamelCase_		,   lowerCamelCase_						)

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






"""simple docstring"""


from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate





@dataclass(frozen=SCREAMING_SNAKE_CASE    )
class lowerCamelCase__   (				SCREAMING_SNAKE_CASE    ):



    '''simple docstring'''




    _lowerCamelCase					=   field(default='''summarization'''     ,   metadata={'''include_in_asdict_even_if_is_default''': True}    )
    _lowerCamelCase					=   Features({'''text''': Value('''string'''    )}    )
    _lowerCamelCase					=   Features({'''summary''': Value('''string'''    )}    )
    _lowerCamelCase					=   "text"
    _lowerCamelCase					=   "summary"




    @property
    def UpperCamelCase__		( self    )    ->      Dict[str, str]:
          return {self.text_column: "text", self.summary_column: "summary"}




