
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__		(    SCREAMING_SNAKE_CASE_,			unittest.TestCase   ):







	'''simple docstring'''
	_lowerCAmelCase							       =				LayoutLMTokenizer
	_lowerCAmelCase							       =				LayoutLMTokenizerFast
	_lowerCAmelCase							       =				True
	_lowerCAmelCase							       =				True





	def   __snake_case				(			self		):
					super().setUp()

					A__  :	Dict         =							[
					    '''[UNK]''',
					    '''[CLS]''',
					    '''[SEP]''',
					    '''want''',
					    '''##want''',
					    '''##ed''',
					    '''wa''',
					    '''un''',
					    '''runn''',
					    '''##ing''',
					    ''',''',
					    '''low''',
					    '''lowest''',
					]
					A__  :	str         =							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				,       **UpperCamelCase__		):
					return LayoutLMTokenizer.from_pretrained(self.tmpdirname				,       **UpperCamelCase__		)





	def   __snake_case				(			self				,       UpperCamelCase__		):
					A__  :	List[str]         =							'''UNwant\u00E9d,running'''
					A__  :	Optional[int]         =							'''unwanted, running'''
					return input_text, output_text





	def   __snake_case				(			self		):
					A__  :	List[str]         =							self.tokenizer_class(self.vocab_file		)

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





	def   __snake_case				(			self		):
					pass

from numpy import exp, pi, sqrt

def 				SCREAMING_SNAKE_CASE     (      __UpperCamelCase :						Dict							,						__UpperCamelCase :						float = 0.0							,						__UpperCamelCase :						float = 1.0       ) ->       int:

				"""simple docstring"""







				return 1 / sqrt(2 * pi * sigma**2       ) * exp(-((x - mu) ** 2) / (2 * sigma**2)       )


if __name__ == "__main__":
					import doctest

					doctest.testmod()