




import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin




class       UpperCAmelCase_   ( unittest.TestCase		,   A							):




							'''simple docstring'''



							def  _UpperCAmelCase  (       self							:						Union[str, Any]      )      ->       Union[str, Any]:
										SCREAMING_SNAKE_CASE     =       load_tool("""document-question-answering"""      )
										self.tool.setup()
										SCREAMING_SNAKE_CASE     =       load_tool("""document-question-answering"""							,  remote=a      )





							def  _UpperCAmelCase  (       self							:						Optional[Any]      )      ->       List[str]:
										SCREAMING_SNAKE_CASE     =       load_dataset("""hf-internal-testing/example-documents"""							,  split="""test"""      )
										SCREAMING_SNAKE_CASE     =       dataset[0]["""image"""]

										SCREAMING_SNAKE_CASE     =       self.tool(a							,  """When is the coffee break?"""      )
										self.assertEqual(a							,  """11-14 to 11:39 a.m."""      )





							def  _UpperCAmelCase  (       self							:						Dict      )      ->       Optional[int]:
										SCREAMING_SNAKE_CASE     =       load_dataset("""hf-internal-testing/example-documents"""							,  split="""test"""      )
										SCREAMING_SNAKE_CASE     =       dataset[0]["""image"""]

										SCREAMING_SNAKE_CASE     =       self.remote_tool(a							,  """When is the coffee break?"""      )
										self.assertEqual(a							,  """11-14 to 11:39 a.m."""      )





							def  _UpperCAmelCase  (       self							:						Union[str, Any]      )      ->       Optional[Any]:
										SCREAMING_SNAKE_CASE     =       load_dataset("""hf-internal-testing/example-documents"""							,  split="""test"""      )
										SCREAMING_SNAKE_CASE     =       dataset[0]["""image"""]

										self.tool(document=a							,  question="""When is the coffee break?"""      )







							def  _UpperCAmelCase  (       self							:						Union[str, Any]      )      ->       Optional[Any]:
										SCREAMING_SNAKE_CASE     =       load_dataset("""hf-internal-testing/example-documents"""							,  split="""test"""      )
										SCREAMING_SNAKE_CASE     =       dataset[0]["""image"""]

										SCREAMING_SNAKE_CASE     =       self.remote_tool(document=a							,  question="""When is the coffee break?"""      )
										self.assertEqual(a							,  """11-14 to 11:39 a.m."""      )












def        lowerCamelCase_     (     SCREAMING_SNAKE_CASE ):
			'''simple docstring'''
			SCREAMING_SNAKE_CASE     =       len(SCREAMING_SNAKE_CASE )
			SCREAMING_SNAKE_CASE     =       [0] * length
			SCREAMING_SNAKE_CASE     =       [[False for i in range(SCREAMING_SNAKE_CASE )] for j in range(SCREAMING_SNAKE_CASE )]
			for i, c in enumerate(SCREAMING_SNAKE_CASE ):
						SCREAMING_SNAKE_CASE     =       i
						for j in range(i + 1 ):
									if c == string[j] and (i - j < 2 or is_palindromic[j + 1][i - 1]):
												SCREAMING_SNAKE_CASE     =       True
												SCREAMING_SNAKE_CASE     =       min(SCREAMING_SNAKE_CASE       ,						0 if j == 0 else (cut[j - 1] + 1) )
						SCREAMING_SNAKE_CASE     =       mincut
			return cut[length - 1]


if __name__ == "__main__":
		__A    :				Optional[int]    						=	input("""Enter the string: """).strip()
		__A    :				List[Any]    						=	find_minimum_partitions(s)
		print(f'''Minimum number of partitions required for the \'{s}\' is {ans}''')






