






import os
import unittest

from transformers import LayoutLMTokenizer, LayoutLMTokenizerFast
from transformers.models.layoutlm.tokenization_layoutlm import VOCAB_FILES_NAMES
from transformers.testing_utils import require_tokenizers

from ...test_tokenization_common import TokenizerTesterMixin


@require_tokenizers
class 			SCREAMING_SNAKE_CASE      (      lowerCAmelCase   ,		unittest.TestCase       ):
     '''simple docstring'''


     UpperCamelCase_				:		int								=						LayoutLMTokenizer
     UpperCamelCase_				:		str								=						LayoutLMTokenizerFast
     UpperCamelCase_				:		Any								=						True
     UpperCamelCase_				:		Optional[Any]								=						True


     def 					_A							(					self							:						Any   ):
       super().setUp()

       SCREAMING_SNAKE_CASE							:   Optional[Any]						    =     [
           "[UNK]",
           "[CLS]",
           "[SEP]",
           "want",
           "##want",
           "##ed",
           "wa",
           "un",
           "runn",
           "##ing",
           ",",
           "low",
           "lowest",
       ]
       SCREAMING_SNAKE_CASE							:   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 					_A							(					self							:						str       ,			**UpperCAmelCase_							:						Optional[int]   ):
       return LayoutLMTokenizer.from_pretrained(self.tmpdirname       ,			**UpperCAmelCase_   )


     def 					_A							(					self							:						Tuple       ,			UpperCAmelCase_							:						List[str]   ):
       SCREAMING_SNAKE_CASE							:   Any						    =     "UNwant\u00E9d,running"
       SCREAMING_SNAKE_CASE							:   Union[str, Any]						    =     "unwanted, running"
       return input_text, output_text


     def 					_A							(					self							:						int   ):
       SCREAMING_SNAKE_CASE							:   Optional[int]						    =     self.tokenizer_class(self.vocab_file   )

       SCREAMING_SNAKE_CASE							:   Dict						    =     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 					_A							(					self							:						List[str]   ):
       pass













def 			SCREAMING_SNAKE_CASE (			_UpperCAmelCase = 200					)     ->	int:
    lowerCamelCase__       : Dict   					=						[1, 2, 5, 10, 20, 50, 100, 200]
    lowerCamelCase__       : Union[str, Any]   					=						[0] * (pence + 1)
    lowerCamelCase__       : List[str]   					=						1  # base case: 1 way to make 0 pence

    for coin in coins:
        for i in range(_UpperCAmelCase		,      pence + 1		,      1					):
            number_of_ways[i] += number_of_ways[i - coin]
    return number_of_ways[pence]


if __name__ == "__main__":
    assert solution(2_00) == 7_36_82





