


'''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      lowerCamelCase_  (      __a	,			unittest.TestCase ):
      lowerCAmelCase__							=	LayoutLMTokenizer
      lowerCAmelCase__							=	LayoutLMTokenizerFast
      lowerCAmelCase__							=	True
      lowerCAmelCase__							=	True






      def lowercase_				(   self							:       Optional[int]					):


          '''simple docstring'''


          super().setUp()

          UpperCAmelCase__     :						Tuple						=							[
              '''[UNK]''',
              '''[CLS]''',
              '''[SEP]''',
              '''want''',
              '''##want''',
              '''##ed''',
              '''wa''',
              '''un''',
              '''runn''',
              '''##ing''',
              ''',''',
              '''low''',
              '''lowest''',
          ]
          UpperCAmelCase__     :						int						=							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 lowercase_				(   self							:       List[str]		,		**_A							:       List[str]					):


          '''simple docstring'''


          return LayoutLMTokenizer.from_pretrained(self.tmpdirname		,		**_A					)






      def lowercase_				(   self							:       List[str]		,		_A							:       Union[str, Any]					):


          '''simple docstring'''


          UpperCAmelCase__     :						Dict						=							'''UNwant\u00E9d,running'''
          UpperCAmelCase__     :						Any						=							'''unwanted, running'''
          return input_text, output_text






      def lowercase_				(   self							:       Optional[Any]					):


          '''simple docstring'''


          UpperCAmelCase__     :						Optional[int]						=							self.tokenizer_class(self.vocab_file					)

          UpperCAmelCase__     :						Optional[int]						=							tokenizer.tokenize('''UNwant\u00E9d,running'''					)
          self.assertListEqual(_A		,		['''un''', '''##want''', '''##ed''', ''',''', '''runn''', '''##ing''']					)
          self.assertListEqual(tokenizer.convert_tokens_to_ids(_A					)		,		[7, 4, 5, 10, 8, 9]					)






      def lowercase_				(   self							:       Tuple					):


          '''simple docstring'''


          pass






from __future__ import annotations
def 		a_							( __lowerCAmelCase   , __lowerCAmelCase = None				):
  lowerCAmelCase__										=      word_bank or []
  # create a table
  lowerCAmelCase__										=      len(__lowerCAmelCase				) + 1

  lowerCAmelCase__										=      []
  for _ in range(__lowerCAmelCase				):
    table.append([]				)
  # seed value
  lowerCAmelCase__										=      [[]]  # because empty string has empty combination

  # iterate through the indices
  for i in range(__lowerCAmelCase				):
    # condition
    if table[i] != []:
      for word in word_bank:
        # slice condition
        if target[i : i + len(__lowerCAmelCase				)] == word:
          lowerCAmelCase__										=      [
              [word, *way] for way in table[i]
          ]
          # adds the word to every combination the current position holds
          # now,push that combination to the table[i+len(word)]
          table[i + len(__lowerCAmelCase				)] += new_combinations

    # combinations are in reverse order so reverse for better output
  for combination in table[len(__lowerCAmelCase				)]:
    combination.reverse()

  return table[len(__lowerCAmelCase				)]


if __name__ == "__main__":
      print(all_construct("""jwajalapa""", ["""jwa""", """j""", """w""", """a""", """la""", """lapa"""]))
      print(all_construct("""rajamati""", ["""s""", """raj""", """amat""", """raja""", """ma""", """i""", """t"""]))
      print(
          all_construct(
              """hexagonosaurus""",
              ["""h""", """ex""", """hex""", """ag""", """ago""", """ru""", """auru""", """rus""", """go""", """no""", """o""", """s"""],
          )
      )

