

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      (   SCREAMING_SNAKE_CASE			,unittest.TestCase):







							'''simple docstring'''






							UpperCamelCase__				:      str         =					LayoutLMTokenizer
							UpperCamelCase__				:      Optional[int]         =					LayoutLMTokenizerFast
							UpperCamelCase__				:      List[Any]         =					True
							UpperCamelCase__				:      Union[str, Any]         =					True


							def _a      (							self		):
											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 _a      (							self  ,  **a_		):
											return LayoutLMTokenizer.from_pretrained(self.tmpdirname  ,  **a_		)


							def _a      (							self  ,  a_		):
											a__				      =		"""UNwant\u00E9d,running"""
											a__				      =		"""unwanted, running"""
											return input_text, output_text


							def _a      (							self		):
											a__				      =		self.tokenizer_class(self.vocab_file		)

											a__				      =		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 _a      (							self		):
											pass






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCAmelCase							 =					{
    """configuration_falcon""": ["""FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP""", """FalconConfig"""],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	UpperCAmelCase							 =					[
	    """FALCON_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """FalconForCausalLM""",
	    """FalconModel""",
	    """FalconPreTrainedModel""",
	    """FalconForSequenceClassification""",
	    """FalconForTokenClassification""",
	    """FalconForQuestionAnswering""",
	]


if TYPE_CHECKING:
	from .configuration_falcon import FALCON_PRETRAINED_CONFIG_ARCHIVE_MAP, FalconConfig

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_falcon import (
		    FALCON_PRETRAINED_MODEL_ARCHIVE_LIST,
		    FalconForCausalLM,
		    FalconForQuestionAnswering,
		    FalconForSequenceClassification,
		    FalconForTokenClassification,
		    FalconModel,
		    FalconPreTrainedModel,
		)


else:
	import sys

	UpperCAmelCase							 =					_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)

