
import json
import os
import unittest

from transformers import OpenAIGPTTokenizer, OpenAIGPTTokenizerFast
from transformers.models.openai.tokenization_openai import VOCAB_FILES_NAMES
from transformers.testing_utils import require_ftfy, require_spacy, require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin




@require_tokenizers
class 					_SCREAMING_SNAKE_CASE  (      lowerCAmelCase__       ,					unittest.TestCase ):
      _A						:		Optional[Any]    	=     OpenAIGPTTokenizer
      _A						:		int    	=     OpenAIGPTTokenizerFast
      _A						:		Tuple    	=     True
      _A						:		Any    	=     False
      def A_			(			self ):
          super().setUp()

          # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
          snake_case__						=				[
              "l",
              "o",
              "w",
              "e",
              "r",
              "s",
              "t",
              "i",
              "d",
              "n",
              "w</w>",
              "r</w>",
              "t</w>",
              "lo",
              "low",
              "er</w>",
              "low</w>",
              "lowest</w>",
              "newer</w>",
              "wider</w>",
              "<unk>",
          ]
          snake_case__						=				dict(zip(_lowerCamelCase		,	range(len(_lowerCamelCase ) ) ) )
          snake_case__						=				["#version: 0.2", "l o", "lo w", "e r</w>", ""]

          snake_case__						=				os.path.join(self.tmpdirname		,	VOCAB_FILES_NAMES["vocab_file"] )
          snake_case__						=				os.path.join(self.tmpdirname		,	VOCAB_FILES_NAMES["merges_file"] )
          with open(self.vocab_file		,	"w" ) as fp:
              fp.write(json.dumps(_lowerCamelCase ) )
          with open(self.merges_file		,	"w" ) as fp:
              fp.write("\n".join(_lowerCamelCase ) )
      def A_			(			self		,	lowerCamelCase ):
          return "lower newer", "lower newer"
      def A_			(			self ):
          snake_case__						=				OpenAIGPTTokenizer(self.vocab_file		,	self.merges_file )

          snake_case__						=				"lower"
          snake_case__						=				["low", "er</w>"]
          snake_case__						=				tokenizer.tokenize(_lowerCamelCase )
          self.assertListEqual(_lowerCamelCase		,	_lowerCamelCase )

          snake_case__						=				tokens + ["<unk>"]
          snake_case__						=				[14, 15, 20]
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowerCamelCase )		,	_lowerCamelCase )
      def A_			(			self		,	lowerCamelCase=15 ):





          for tokenizer, pretrained_name, kwargs in self.tokenizers_list:
              with self.subTest(F"""{tokenizer.__class__.__name__} ({pretrained_name})""" ):
                  snake_case__						=				self.rust_tokenizer_class.from_pretrained(_lowerCamelCase		,	**_lowerCamelCase )

                  # Simple input
                  snake_case__						=				"This is a simple input"
                  snake_case__						=				["This is a simple input 1", "This is a simple input 2"]
                  snake_case__						=				("This is a simple input", "This is a pair")
                  snake_case__						=				[
                      ("This is a simple input 1", "This is a simple input 2"),
                      ("This is a simple pair 1", "This is a simple pair 2"),
                  ]

                  # Simple input tests
                  self.assertRaises(_lowerCamelCase		,	tokenizer_r.encode		,	_lowerCamelCase		,	max_length=_lowerCamelCase		,	padding="max_length" )

                  # Simple input
                  self.assertRaises(_lowerCamelCase		,	tokenizer_r.encode_plus		,	_lowerCamelCase		,	max_length=_lowerCamelCase		,	padding="max_length" )

                  # Simple input
                  self.assertRaises(
                      _lowerCamelCase		,	tokenizer_r.batch_encode_plus		,	_lowerCamelCase		,	max_length=_lowerCamelCase		,	padding="max_length"		,	)

                  # Pair input
                  self.assertRaises(_lowerCamelCase		,	tokenizer_r.encode		,	_lowerCamelCase		,	max_length=_lowerCamelCase		,	padding="max_length" )

                  # Pair input
                  self.assertRaises(_lowerCamelCase		,	tokenizer_r.encode_plus		,	_lowerCamelCase		,	max_length=_lowerCamelCase		,	padding="max_length" )

                  # Pair input
                  self.assertRaises(
                      _lowerCamelCase		,	tokenizer_r.batch_encode_plus		,	_lowerCamelCase		,	max_length=_lowerCamelCase		,	padding="max_length"		,	)



      def A_			(			self ):
          pass





@require_ftfy
@require_spacy
@require_tokenizers
class 					_SCREAMING_SNAKE_CASE  (      lowerCAmelCase__ ):
      pass





from __future__ import annotations

from fractions import Fraction





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    return (
        num != den and num % 10 == den // 10 and (num // 10) / (den % 10) == num / den
    )





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
    snake_case__						=				[]
    snake_case__						=				11
    snake_case__						=				int("1" + "0" * digit_len							)
    for num in range(__lowerCAmelCase    ,		__lowerCAmelCase							):
        while den <= 99:
            if (num != den) and (num % 10 == den // 10) and (den % 10 != 0):
                if is_digit_cancelling(__lowerCAmelCase    ,		__lowerCAmelCase							):
                    solutions.append(F"""{num}/{den}"""							)
            den += 1
        num += 1
        snake_case__						=				10
    return solutions





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase = 2							):
    snake_case__						=				1.0
    for fraction in fraction_list(__lowerCAmelCase							):
        snake_case__						=				Fraction(__lowerCAmelCase							)
        result *= frac.denominator / frac.numerator
    return int(__lowerCAmelCase							)


if __name__ == "__main__":
     print(solution())



