






from sklearn.neural_network import MLPClassifier

A__     :      int             =			[[0.0, 0.0], [1.0, 1.0], [1.0, 0.0], [0.0, 1.0]]
A__     :      Tuple             =			[0, 1, 0, 0]


A__     :      Any             =			MLPClassifier(
    solver='lbfgs', alpha=1e-5, hidden_layer_sizes=(5, 2), random_state=1
)

clf.fit(X, y)


A__     :      str             =			[[0.0, 0.0], [0.0, 1.0], [1.0, 1.0]]
A__     :      List[Any]             =			clf.predict(test)






def   a      (						lowerCamelCase_    ):






				'''simple docstring'''
				return list(_lowerCAmelCase    )


if __name__ == "__main__":
							import doctest

							doctest.testmod()










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     lowercase__       (					self						:   str  ):

								'''simple docstring'''
								lowercase__       			=      load_tool('''document-question-answering'''  )
								self.tool.setup()
								lowercase__       			=      load_tool('''document-question-answering''',  remote=lowerCamelCase  )




				def     lowercase__       (					self						:   List[Any]  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

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




				def     lowercase__       (					self						:   Optional[Any]  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

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




				def     lowercase__       (					self						:   Any  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

								self.tool(document=lowerCamelCase,  question='''When is the coffee break?'''  )




				def     lowercase__       (					self						:   Tuple  ):

								'''simple docstring'''
								lowercase__       			=      load_dataset('''hf-internal-testing/example-documents''',  split='''test'''  )
								lowercase__       			=      dataset[0]['''image''']

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




