






"""simple docstring"""


import unittest

from transformers import load_tool
from transformers.tools.agent_types import AGENT_TYPE_MAPPING

from .test_tools_common import ToolTesterMixin, output_types


class    snake_case						(				unittest.TestCase  ,      _lowerCAmelCase		):


   '''simple docstring'''

   def 							_SCREAMING_SNAKE_CASE							(      self					:	Any    ):

     '''simple docstring'''
     __A		     =					load_tool('''translation'''    )
     self.tool.setup()
     __A		     =					load_tool('''translation''',			remote=_lowerCamelCase    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	int    ):

     '''simple docstring'''
     __A		     =					self.tool('''Hey, what\'s up?''',			src_lang='''English''',			tgt_lang='''French'''    )
     self.assertEqual(_lowerCamelCase,			'''- Hé, comment ça va?'''    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	int    ):

     '''simple docstring'''
     __A		     =					self.remote_tool('''Hey, what\'s up?''',			src_lang='''English''',			tgt_lang='''French'''    )
     self.assertEqual(_lowerCamelCase,			'''- Hé, comment ça va?'''    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Optional[int]    ):

     '''simple docstring'''
     __A		     =					self.tool(text='''Hey, what\'s up?''',			src_lang='''English''',			tgt_lang='''French'''    )
     self.assertEqual(_lowerCamelCase,			'''- Hé, comment ça va?'''    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Tuple    ):

     '''simple docstring'''
     __A		     =					self.remote_tool(text='''Hey, what\'s up?''',			src_lang='''English''',			tgt_lang='''French'''    )
     self.assertEqual(_lowerCamelCase,			'''- Hé, comment ça va?'''    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	List[Any]    ):

     '''simple docstring'''
     __A		     =					['''Hey, what\'s up?''', '''English''', '''Spanish''']
     __A		     =					self.tool(*_lowerCamelCase    )

     # There is a single output
     if len(self.tool.outputs    ) == 1:
       __A		     =					[outputs]

     self.assertListEqual(output_types(_lowerCamelCase    ),			self.tool.outputs    )


   def 							_SCREAMING_SNAKE_CASE							(      self					:	Dict    ):

     '''simple docstring'''
     __A		     =					['''Hey, what\'s up?''', '''English''', '''Spanish''']
     __A		     =					self.tool(*_lowerCamelCase    )

     if not isinstance(_lowerCamelCase,			_lowerCamelCase    ):
       __A		     =					[outputs]

     self.assertEqual(len(_lowerCamelCase    ),			len(self.tool.outputs    )    )

     for output, output_type in zip(_lowerCamelCase,			self.tool.outputs    ):
       __A		     =					AGENT_TYPE_MAPPING[output_type]
       self.assertTrue(isinstance(_lowerCamelCase,			_lowerCamelCase    )    )






   def 							_SCREAMING_SNAKE_CASE							(      self					:	List[str]    ):

     '''simple docstring'''
     __A		     =					['''Hey, what\'s up?''', '''English''', '''Spanish''']

     __A		     =					[]

     for _input, input_type in zip(_lowerCamelCase,			self.tool.inputs    ):
       if isinstance(_lowerCamelCase,			_lowerCamelCase    ):
         _inputs.append([AGENT_TYPE_MAPPING[_input_type](_input    ) for _input_type in input_type]    )
       else:
         _inputs.append(AGENT_TYPE_MAPPING[input_type](_input    )    )

        # Should not raise an error
     __A		     =					self.tool(*_lowerCamelCase    )

     if not isinstance(_lowerCamelCase,			_lowerCamelCase    ):
       __A		     =					[outputs]

     self.assertEqual(len(_lowerCamelCase    ),			len(self.tool.outputs    )    )








"""simple docstring"""







import unittest

from datasets import load_dataset

from transformers import load_tool

from .test_tools_common import ToolTesterMixin






class  __A							(			unittest.TestCase,       _SCREAMING_SNAKE_CASE     ):






 """simple docstring"""




 def  SCREAMING_SNAKE_CASE				(						self		)   ->	str:
     a											=load_tool('''document-question-answering'''		)
     self.tool.setup()
     a											=load_tool('''document-question-answering'''					,       remote=__A		)


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

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


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

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


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

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





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

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