



"""simple docstring"""




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       UpperCAmelCase_    (							_UpperCamelCase			,     unittest.TestCase		):
      __SCREAMING_SNAKE_CASE		:  List[Any]						=					LayoutLMTokenizer
      __SCREAMING_SNAKE_CASE		:  Dict						=					LayoutLMTokenizerFast
      __SCREAMING_SNAKE_CASE		:  List[str]						=					True
      __SCREAMING_SNAKE_CASE		:  Dict						=					True



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

           _UpperCAmelCase     :      Optional[Any]														=       [
               "[UNK]",
               "[CLS]",
               "[SEP]",
               "want",
               "##want",
               "##ed",
               "wa",
               "un",
               "runn",
               "##ing",
               ",",
               "low",
               "lowest",
           ]
           _UpperCAmelCase     :      Dict														=       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	:      int	,      **A	:      Optional[int]		):
           return LayoutLMTokenizer.from_pretrained(self.tmpdirname	,      **_lowercase		)



      def 		snake_case_   (	self	:      Tuple	,      A	:      Any		):
           _UpperCAmelCase     :      str														=       "UNwant\u00E9d,running"
           _UpperCAmelCase     :      str														=       "unwanted, running"
           return input_text, output_text



      def 		snake_case_   (	self	:      List[str]		):
           _UpperCAmelCase     :      Optional[int]														=       self.tokenizer_class(self.vocab_file		)

           _UpperCAmelCase     :      Dict														=       tokenizer.tokenize("UNwant\u00E9d,running"		)
           self.assertListEqual(_lowercase	,      ["un", "##want", "##ed", ",", "runn", "##ing"]		)
           self.assertListEqual(tokenizer.convert_tokens_to_ids(_lowercase		)	,      [7, 4, 5, 1_0, 8, 9]		)



      def 		snake_case_   (	self	:      List[str]		):
           pass



def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						list:



    """simple docstring"""






    if bit_count < 0:
        raise ValueError("The given input must be positive"			)

    # get the generated string sequence
    UpperCamelCase_			  =						gray_code_sequence_string(SCREAMING_SNAKE_CASE_			)
    #
    # convert them to integers
    for i in range(len(SCREAMING_SNAKE_CASE_			)			):
        UpperCamelCase_			  =						int(sequence[i]			,						2			)

    return sequence




def 			lowerCAmelCase(      SCREAMING_SNAKE_CASE_			)->						list:



    """simple docstring"""






    if bit_count == 0:
        return ["0"]

    if bit_count == 1:
        return ["0", "1"]

    UpperCamelCase_			  =						1 << bit_count  # defines the length of the sequence
    # 1<< n is equivalent to 2^n

    # recursive answer will generate answer for n-1 bits
    UpperCamelCase_			  =						gray_code_sequence_string(bit_count - 1			)

    UpperCamelCase_			  =						[]

    # append 0 to first half of the smaller sequence generated
    for i in range(seq_len // 2			):
        UpperCamelCase_			  =						"0" + smaller_sequence[i]
        sequence.append(SCREAMING_SNAKE_CASE_			)

    # append 1 to second half ... start from the end of the list
    for i in reversed(range(seq_len // 2			)			):
        UpperCamelCase_			  =						"1" + smaller_sequence[i]
        sequence.append(SCREAMING_SNAKE_CASE_			)

    return sequence


if __name__ == "__main__":
 import doctest

 doctest.testmod()
