





import os
import unittest

from transformers import FunnelTokenizer, FunnelTokenizerFast
from transformers.models.funnel.tokenization_funnel import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin







@require_tokenizers
class 	__lowerCAmelCase      (       __snake_case		,unittest.TestCase	):
   _UpperCamelCase			:    Tuple  		=					FunnelTokenizer
   _UpperCamelCase			:    Any  		=					FunnelTokenizerFast
   _UpperCamelCase			:    Union[str, Any]  		=					True
   _UpperCamelCase			:    List[Any]  		=					True





   def 						_snake_case			(			self   )					->	List[Any]:
      """simple docstring"""





      super().setUp()

      a__						:    Any   		=	[
          "<unk>",
          "<cls>",
          "<sep>",
          "want",
          "##want",
          "##ed",
          "wa",
          "un",
          "runn",
          "##ing",
          ",",
          "low",
          "lowest",
      ]
      a__						:    Optional[Any]   		=	os.path.join(self.tmpdirname       ,      VOCAB_FILES_NAMES["vocab_file"]   )
      with open(self.vocab_file       ,      "w"       ,      encoding="utf-8"   ) as vocab_writer:
         vocab_writer.write("".join([x + "\n" for x in vocab_tokens]   )   )





   def 						_snake_case			(			self       ,      **snake_case   )					->	List[Any]:
      """simple docstring"""





      return FunnelTokenizer.from_pretrained(self.tmpdirname       ,      **__UpperCamelCase   )





   def 						_snake_case			(			self       ,      **snake_case   )					->	List[Any]:
      """simple docstring"""





      return FunnelTokenizerFast.from_pretrained(self.tmpdirname       ,      **__UpperCamelCase   )





   def 						_snake_case			(			self       ,      snake_case   )					->	Union[str, Any]:
      """simple docstring"""





      a__						:    int   		=	"UNwant\u00E9d,running"
      a__						:    Any   		=	"unwanted, running"
      return input_text, output_text





   def 						_snake_case			(			self   )					->	Optional[int]:
      """simple docstring"""





      a__						:    Optional[Any]   		=	self.tokenizer_class(self.vocab_file   )

      a__						:    str   		=	tokenizer.tokenize("UNwant\u00E9d,running"   )
      self.assertListEqual(__UpperCamelCase       ,      ["un", "##want", "##ed", ",", "runn", "##ing"]   )
      self.assertListEqual(tokenizer.convert_tokens_to_ids(__UpperCamelCase   )       ,      [7, 4, 5, 10, 8, 9]   )





   def 						_snake_case			(			self   )					->	Optional[Any]:
      """simple docstring"""





      a__						:    Any   		=	self.get_tokenizers(do_lower_case=__UpperCamelCase   )
      for tokenizer in tokenizers:
         a__						:    Dict   		=	tokenizer("UNwant\u00E9d,running"   )
         a__						:    List[str]   		=	len(inputs["input_ids"]   ) - 1
         self.assertListEqual(inputs["token_type_ids"]       ,      [2] + [0] * sentence_len   )

         a__						:    int   		=	tokenizer("UNwant\u00E9d,running"       ,      "UNwant\u00E9d,running"   )
         self.assertListEqual(inputs["token_type_ids"]       ,      [2] + [0] * sentence_len + [1] * sentence_len   )




def a(lowercase__						):





	'''simple docstring'''
	snake_case_   		=			len(lowercase__						)
	for _ in range(lowercase__						):
		for i in range(_ % 2      ,			arr_size - 1      ,			2						):
			if arr[i + 1] < arr[i]:
				snake_case_		,							snake_case_   		=			arr[i + 1], arr[i]

	return arr


if __name__ == "__main__":
		A									=  list(range(10, 0, -1))
		print(f"""Original: {arr}. Sorted: {odd_even_transposition(arr)}""")
