




'''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  _snake_case		(	lowercase_						,						unittest.TestCase							):
			lowerCAmelCase_     :      str						       =    LayoutLMTokenizer
			lowerCAmelCase_     :      Optional[int]						       =    LayoutLMTokenizerFast
			lowerCAmelCase_     :      Optional[int]						       =    True
			lowerCAmelCase_     :      int						       =    True




			def    lowerCAmelCase__				(					self							)				->				Optional[int]:

										'''simple docstring'''




										super().setUp()

										snake_case_						=      [
										    "[UNK]",
										    "[CLS]",
										    "[SEP]",
										    "want",
										    "##want",
										    "##ed",
										    "wa",
										    "un",
										    "runn",
										    "##ing",
										    ",",
										    "low",
										    "lowest",
										]
										snake_case_						=      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    lowerCAmelCase__				(					self				,							**a__							)				->				List[str]:

										'''simple docstring'''




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




			def    lowerCAmelCase__				(					self				,							a__							)				->				Tuple:

										'''simple docstring'''




										snake_case_						=      "UNwant\u00E9d,running"
										snake_case_						=      "unwanted, running"
										return input_text, output_text




			def    lowerCAmelCase__				(					self							)				->				Dict:

										'''simple docstring'''




										snake_case_						=      self.tokenizer_class(self.vocab_file							)

										snake_case_						=      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    lowerCAmelCase__				(					self							)				->				Tuple:

										'''simple docstring'''




										pass








'''simple docstring'''

from __future__ import annotations

def _SCREAMING_SNAKE_CASE      (A  , A       )       ->       list[list[int]]:






       """simple docstring"""







       lowercase__      			= []
       create_all_state(1  , A  , A  , []  , A       )
       return result

def _SCREAMING_SNAKE_CASE      (A  , A  , A  , A  , A  , )       ->       None:






       """simple docstring"""







       if level == 0:
              total_list.append(current_list[:]       )
              return

       for i in range(A  , total_number - level + 2       ):
              current_list.append(A       )
              create_all_state(i + 1  , A  , level - 1  , A  , A       )
              current_list.pop()

def _SCREAMING_SNAKE_CASE      (A       )       ->       None:






       """simple docstring"""







       for i in total_list:
              print(*A       )


if __name__ == "__main__":
 lowerCamelCase							:   Tuple  						=	4
 lowerCamelCase							:   Union[str, Any]  						=	2
 lowerCamelCase							:   Dict  						=	generate_all_combinations(n, k)
 print_all_state(total_list)




