



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__(_UpperCamelCase    ,      unittest.TestCase      ):

					"""simple docstring"""






					lowercase_								=		LayoutLMTokenizer
					lowercase_								=		LayoutLMTokenizerFast
					lowercase_								=		True
					lowercase_								=		True







					def 			snake_case					(							self :     int					):
									super().setUp()

									lowercase__					:   Optional[int]													=					[
									    "[UNK]",
									    "[CLS]",
									    "[SEP]",
									    "want",
									    "##want",
									    "##ed",
									    "wa",
									    "un",
									    "runn",
									    "##ing",
									    ",",
									    "low",
									    "lowest",
									]
									lowercase__					:   List[Any]													=					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 :     str				,       **SCREAMING_SNAKE_CASE :     Union[str, Any]					):
									return LayoutLMTokenizer.from_pretrained(self.tmpdirname				,       **SCREAMING_SNAKE_CASE					)







					def 			snake_case					(							self :     Optional[int]				,       SCREAMING_SNAKE_CASE :     List[Any]					):
									lowercase__					:   List[Any]													=					"UNwant\u00E9d,running"
									lowercase__					:   Any													=					"unwanted, running"
									return input_text, output_text







					def 			snake_case					(							self :     Union[str, Any]					):
									lowercase__					:   Tuple													=					self.tokenizer_class(self.vocab_file					)

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







					def 			snake_case					(							self :     Dict					):
									pass









from __future__ import annotations

from math import pi

# Define the Reduced Planck Constant ℏ (H bar), speed of light C, value of
# Pi and the function
lowerCAmelCase__					  =  1.054571817e-34  # unit of ℏ : J * s

lowerCAmelCase__					  =  3e8  # unit of c : m * s^-1


def  __lowerCamelCase (       lowerCamelCase__					,			lowerCamelCase__					,			lowerCamelCase__						):

				"""simple docstring"""


				if (force, area, distance).count(0						) != 1:
								raise ValueError("One and only one argument must be 0"						)
				if force < 0:
								raise ValueError("Magnitude of force can not be negative"						)
				if distance < 0:
								raise ValueError("Distance can not be negative"						)
				if area < 0:
								raise ValueError("Area can not be negative"						)
				if force == 0:
								lowercase__					:   Optional[Any]													=					(REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (
								    240 * (distance) ** 4
								)
								return {"force": force}
				elif area == 0:
								lowercase__					:   str													=					(240 * force * (distance) ** 4) / (
								    REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2
								)
								return {"area": area}
				elif distance == 0:
								lowercase__					:   Tuple													=					(
								    (REDUCED_PLANCK_CONSTANT * SPEED_OF_LIGHT * pi**2 * area) / (240 * force)
								) ** (1 / 4)
								return {"distance": distance}
				raise ValueError("One and only one argument must be 0"						)


# Run doctest
if __name__ == "__main__":
				import doctest

				doctest.testmod()




