




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      (      __magic_name__ ,			unittest.TestCase					):
							UpperCamelCase__   	=    LayoutLMTokenizer
							UpperCamelCase__   	=    LayoutLMTokenizerFast
							UpperCamelCase__   	=    True
							UpperCamelCase__   	=    True
							def  lowerCamelCase__				(		self		:Any							):







								'''simple docstring'''







								super().setUp()

								a									=				[
								    """[UNK]""",
								    """[CLS]""",
								    """[SEP]""",
								    """want""",
								    """##want""",
								    """##ed""",
								    """wa""",
								    """un""",
								    """runn""",
								    """##ing""",
								    """,""",
								    """low""",
								    """lowest""",
								]
								a									=				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		:Tuple						, **__magic_name__		:Tuple							):







								'''simple docstring'''







								return LayoutLMTokenizer.from_pretrained(self.tmpdirname						, **__magic_name__							)
							def  lowerCamelCase__				(		self		:Optional[Any]						, __magic_name__		:Optional[Any]							):







								'''simple docstring'''







								a									=				"""UNwant\u00E9d,running"""
								a									=				"""unwanted, running"""
								return input_text, output_text
							def  lowerCamelCase__				(		self		:Optional[Any]							):







								'''simple docstring'''







								a									=				self.tokenizer_class(self.vocab_file							)

								a									=				tokenizer.tokenize("""UNwant\u00E9d,running"""							)
								self.assertListEqual(__magic_name__						, ["""un""", """##want""", """##ed""", """,""", """runn""", """##ing"""]							)
								self.assertListEqual(tokenizer.convert_tokens_to_ids(__magic_name__							)						, [7, 4, 5, 10, 8, 9]							)





							def  lowerCamelCase__				(		self		:Dict							):







								'''simple docstring'''







								pass







import warnings

from ...utils import logging
from .image_processing_layoutlmva import LayoutLMvaImageProcessor


__UpperCamelCase   :			Optional[int]          = logging.get_logger(__name__)

class 						__lowerCAmelCase      (      __magic_name__					):
							def __init__(		self		:Union[str, Any]						, *__magic_name__		:int						, **__magic_name__		:str							):







								'''simple docstring'''







								warnings.warn(
								    """The class LayoutLMv2FeatureExtractor is deprecated and will be removed in version 5 of Transformers."""
								    """ Please use LayoutLMv2ImageProcessor instead."""						, __magic_name__						, )
								super().__init__(*__magic_name__						, **__magic_name__							)

