





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        lowercase_				( unittest.TestCase			,__UpperCAmelCase):






							"""simple docstring"""







							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		load_tool("""translation"""		)
													self.tool.setup()
													a_					=		load_tool("""translation"""			,    remote=lowercase_		)


							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		self.tool("""Hey, what\'s up?"""			,    src_lang="""English"""			,    tgt_lang="""French"""		)
													self.assertEqual(lowercase_			,    """- Hé, comment ça va?"""		)


							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		self.remote_tool("""Hey, what\'s up?"""			,    src_lang="""English"""			,    tgt_lang="""French"""		)
													self.assertEqual(lowercase_			,    """- Hé, comment ça va?"""		)


							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		self.tool(text="""Hey, what\'s up?"""			,    src_lang="""English"""			,    tgt_lang="""French"""		)
													self.assertEqual(lowercase_			,    """- Hé, comment ça va?"""		)


							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		self.remote_tool(text="""Hey, what\'s up?"""			,    src_lang="""English"""			,    tgt_lang="""French"""		)
													self.assertEqual(lowercase_			,    """- Hé, comment ça va?"""		)


							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		['''Hey, what\'s up?''', '''English''', '''Spanish''']
													a_					=		self.tool(*lowercase_		)

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

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


							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		['''Hey, what\'s up?''', '''English''', '''Spanish''']
													a_					=		self.tool(*lowercase_		)

													if not isinstance(lowercase_			,    lowercase_		):
																			a_					=		[outputs]

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

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






							def 						lowercase__     (   self		):







													"""simple docstring"""


													a_					=		['''Hey, what\'s up?''', '''English''', '''Spanish''']

													a_					=		[]

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

													if not isinstance(lowercase_			,    lowercase_		):
																			a_					=		[outputs]

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



from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


A_    :					Optional[Any]             ={
    """configuration_wav2vec2_conformer""": [
        """WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """Wav2Vec2ConformerConfig""",
    ],
}


try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	A_    :					Union[str, Any]             =[
	    """WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """Wav2Vec2ConformerForAudioFrameClassification""",
	    """Wav2Vec2ConformerForCTC""",
	    """Wav2Vec2ConformerForPreTraining""",
	    """Wav2Vec2ConformerForSequenceClassification""",
	    """Wav2Vec2ConformerForXVector""",
	    """Wav2Vec2ConformerModel""",
	    """Wav2Vec2ConformerPreTrainedModel""",
	]

if TYPE_CHECKING:
	from .configuration_wavaveca_conformer import (
	    WAV2VEC2_CONFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    WavaVecaConformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_wavaveca_conformer import (
		    WAV2VEC2_CONFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    WavaVecaConformerForAudioFrameClassification,
		    WavaVecaConformerForCTC,
		    WavaVecaConformerForPreTraining,
		    WavaVecaConformerForSequenceClassification,
		    WavaVecaConformerForXVector,
		    WavaVecaConformerModel,
		    WavaVecaConformerPreTrainedModel,
		)

else:
	import sys

	A_    :					Union[str, Any]             =_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)