





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 	_lowerCamelCase (	self	:							Any     ):
        __UpperCamelCase	=  load_tool('translation'     )
        self.tool.setup()
        __UpperCamelCase	=  load_tool('translation'							,     remote=_UpperCAmelCase     )






 def 	_lowerCamelCase (	self	:							int     ):
        __UpperCamelCase	=  self.tool('Hey, what\'s up?'							,     src_lang='English'							,     tgt_lang='French'     )
        self.assertEqual(_UpperCAmelCase							,     '- Hé, comment ça va?'     )






 def 	_lowerCamelCase (	self	:							Tuple     ):
        __UpperCamelCase	=  self.remote_tool('Hey, what\'s up?'							,     src_lang='English'							,     tgt_lang='French'     )
        self.assertEqual(_UpperCAmelCase							,     '- Hé, comment ça va?'     )






 def 	_lowerCamelCase (	self	:							Union[str, Any]     ):
        __UpperCamelCase	=  self.tool(text='Hey, what\'s up?'							,     src_lang='English'							,     tgt_lang='French'     )
        self.assertEqual(_UpperCAmelCase							,     '- Hé, comment ça va?'     )






 def 	_lowerCamelCase (	self	:							Tuple     ):
        __UpperCamelCase	=  self.remote_tool(text='Hey, what\'s up?'							,     src_lang='English'							,     tgt_lang='French'     )
        self.assertEqual(_UpperCAmelCase							,     '- Hé, comment ça va?'     )






 def 	_lowerCamelCase (	self	:							List[Any]     ):
        __UpperCamelCase	=  ['Hey, what\'s up?', 'English', 'Spanish']
        __UpperCamelCase	=  self.tool(*_UpperCAmelCase     )

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

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






 def 	_lowerCamelCase (	self	:							List[str]     ):
        __UpperCamelCase	=  ['Hey, what\'s up?', 'English', 'Spanish']
        __UpperCamelCase	=  self.tool(*_UpperCAmelCase     )

        if not isinstance(_UpperCAmelCase							,     _UpperCAmelCase     ):
               __UpperCamelCase	=  [outputs]

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

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






 def 	_lowerCamelCase (	self	:							Tuple     ):
        __UpperCamelCase	=  ['Hey, what\'s up?', 'English', 'Spanish']

        __UpperCamelCase	=  []

        for _input, input_type in zip(_UpperCAmelCase							,     self.tool.inputs     ):
               if isinstance(_UpperCAmelCase							,     _UpperCAmelCase     ):
                      _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
        __UpperCamelCase	=  self.tool(*_UpperCAmelCase     )

        if not isinstance(_UpperCAmelCase							,     _UpperCAmelCase     ):
               __UpperCamelCase	=  [outputs]

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







'''simple docstring'''
a__							:							int			='''
# Transformers installation
! pip install transformers datasets evaluate
# To install from source instead of the last release, comment the command above and uncomment the following one.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

a__							:							List[Any]			=[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
a__							:							Dict			={
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}
