





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__    (							__A     ,					unittest.TestCase  ):
  __UpperCamelCase	     =  BartphoTokenizer
  __UpperCamelCase	     =  False
  __UpperCamelCase	     =  True







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

       lowerCAmelCase_					:       Optional[Any]    =		["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
       lowerCAmelCase_					:       Dict    =		dict(zip(_lowercase    ,						range(len(_lowercase						)						)						)						)
       lowerCAmelCase_					:       Dict    =		{"""unk_token""": """<unk>"""}

       lowerCAmelCase_					:       int    =		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_					:       str    =		BartphoTokenizer(_lowercase    ,						self.monolingual_vocab_file    ,						**self.special_tokens_map						)
       tokenizer.save_pretrained(self.tmpdirname						)







  def 	UpperCAmelCase__		(	self    ,						**_lowercase						):
       kwargs.update(self.special_tokens_map						)
       return BartphoTokenizer.from_pretrained(self.tmpdirname    ,						**_lowercase						)







  def 	UpperCAmelCase__		(	self    ,						_lowercase						):
       lowerCAmelCase_					:       Any    =		"""This is a là test"""
       lowerCAmelCase_					:       Tuple    =		"""This is a<unk><unk> test"""
       return input_text, output_text







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

       lowerCAmelCase_					:       str    =		tokens + [tokenizer.unk_token]
       lowerCAmelCase_					:       Optional[Any]    =		[4, 5, 6, 3, 3, 7, 8, 3]
       self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase						)    ,						_lowercase						)







from collections import namedtuple

UpperCAmelCase_					:   Union[str, Any] 							=						namedtuple("""from_to""", """from_ to""")

UpperCAmelCase_					:   int 							=						{
    """cubicmeter""": from_to(1, 1),
    """litre""": from_to(0.0_01, 10_00),
    """kilolitre""": from_to(1, 1),
    """gallon""": from_to(0.0_04_54, 2_64.1_72),
    """cubicyard""": from_to(0.7_64_55, 1.3_07_95),
    """cubicfoot""": from_to(0.0_28, 35.31_47),
    """cup""": from_to(0.0_00_23_65_88, 42_26.75),
}






def 							_lowerCAmelCase (  _a   :					float					,   _a   :					str					,   _a   :					str			)	->			float:
     if from_type not in METRIC_CONVERSION:
          raise ValueError(
              F'Invalid \'from_type\' value: {from_type!r}  Supported values are:\n'
              + """, """.join(_a			)			)
     if to_type not in METRIC_CONVERSION:
          raise ValueError(
              F'Invalid \'to_type\' value: {to_type!r}.  Supported values are:\n'
              + """, """.join(_a			)			)
     return value * METRIC_CONVERSION[from_type].from_ * METRIC_CONVERSION[to_type].to


if __name__ == "__main__":
      import doctest

      doctest.testmod()
