





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      UpperCamelCase_				(   unittest.TestCase ,     UpperCamelCase__			):


							def    _snake_case     (							self			:Optional[int]						)      ->      Optional[int]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=					load_tool("""translation"""						)
									self.tool.setup()
									SCREAMING_SNAKE_CASE__								=					load_tool("""translation"""							, remote=__A						)


							def    _snake_case     (							self			:Dict						)      ->      Optional[int]:



									"""simple docstring"""



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


							def    _snake_case     (							self			:Optional[int]						)      ->      List[str]:



									"""simple docstring"""



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


							def    _snake_case     (							self			:Any						)      ->      Tuple:



									"""simple docstring"""



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


							def    _snake_case     (							self			:List[Any]						)      ->      str:



									"""simple docstring"""



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


							def    _snake_case     (							self			:Optional[Any]						)      ->      Tuple:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=					["""Hey, what's up?""", """English""", """Spanish"""]
									SCREAMING_SNAKE_CASE__								=					self.tool(*__A						)

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

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


							def    _snake_case     (							self			:Optional[int]						)      ->      Optional[int]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=					["""Hey, what's up?""", """English""", """Spanish"""]
									SCREAMING_SNAKE_CASE__								=					self.tool(*__A						)

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

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

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


							def    _snake_case     (							self			:str						)      ->      Union[str, Any]:



									"""simple docstring"""



									SCREAMING_SNAKE_CASE__								=					["""Hey, what's up?""", """English""", """Spanish"""]

									SCREAMING_SNAKE_CASE__								=					[]

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

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

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




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCamelCase_	       =   {"configuration_vit_hybrid": ["VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP", "ViTHybridConfig"]}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_	       =   [
							    "VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "ViTHybridForImageClassification",
							    "ViTHybridModel",
							    "ViTHybridPreTrainedModel",
							]

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							UpperCamelCase_	       =   ["ViTHybridImageProcessor"]


if TYPE_CHECKING:
							from .configuration_vit_hybrid import VIT_HYBRID_PRETRAINED_CONFIG_ARCHIVE_MAP, ViTHybridConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_vit_hybrid import (
														    VIT_HYBRID_PRETRAINED_MODEL_ARCHIVE_LIST,
														    ViTHybridForImageClassification,
														    ViTHybridModel,
														    ViTHybridPreTrainedModel,
														)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .image_processing_vit_hybrid import ViTHybridImageProcessor


else:
							import sys

							UpperCamelCase_	       =   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





