

"""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    ,      UpperCamelCase							):







						def 							_UpperCamelCase     (self				)      ->    Optional[Any]:
											__lowercase        =      load_tool('''translation'''				)
											self.tool.setup()
											__lowercase        =      load_tool('''translation'''  ,				remote=UpperCAmelCase_				)







						def 							_UpperCamelCase     (self				)      ->    Optional[int]:
											__lowercase        =      self.tool('''Hey, what\'s up?'''  ,				src_lang='''English'''  ,				tgt_lang='''French'''				)
											self.assertEqual(UpperCAmelCase_  ,				'''- Hé, comment ça va?'''				)







						def 							_UpperCamelCase     (self				)      ->    Tuple:
											__lowercase        =      self.remote_tool('''Hey, what\'s up?'''  ,				src_lang='''English'''  ,				tgt_lang='''French'''				)
											self.assertEqual(UpperCAmelCase_  ,				'''- Hé, comment ça va?'''				)







						def 							_UpperCamelCase     (self				)      ->    str:
											__lowercase        =      self.tool(text='''Hey, what\'s up?'''  ,				src_lang='''English'''  ,				tgt_lang='''French'''				)
											self.assertEqual(UpperCAmelCase_  ,				'''- Hé, comment ça va?'''				)







						def 							_UpperCamelCase     (self				)      ->    int:
											__lowercase        =      self.remote_tool(text='''Hey, what\'s up?'''  ,				src_lang='''English'''  ,				tgt_lang='''French'''				)
											self.assertEqual(UpperCAmelCase_  ,				'''- Hé, comment ça va?'''				)







						def 							_UpperCamelCase     (self				)      ->    Optional[Any]:
											__lowercase        =      ['''Hey, what\'s up?''', '''English''', '''Spanish''']
											__lowercase        =      self.tool(*UpperCAmelCase_				)

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

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







						def 							_UpperCamelCase     (self				)      ->    str:
											__lowercase        =      ['''Hey, what\'s up?''', '''English''', '''Spanish''']
											__lowercase        =      self.tool(*UpperCAmelCase_				)

											if not isinstance(UpperCAmelCase_  ,				UpperCAmelCase_				):
																__lowercase        =      [outputs]

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

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







						def 							_UpperCamelCase     (self				)      ->    List[Any]:
											__lowercase        =      ['''Hey, what\'s up?''', '''English''', '''Spanish''']

											__lowercase        =      []

											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
											__lowercase        =      self.tool(*UpperCAmelCase_				)

											if not isinstance(UpperCAmelCase_  ,				UpperCAmelCase_				):
																__lowercase        =      [outputs]

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





"""simple docstring"""

from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


a__			:						str							=			{
    """configuration_rwkv""": ["""RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP""", """RwkvConfig""", """RwkvOnnxConfig"""],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							a__			:						Optional[int]							=			[
							    """RWKV_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """RwkvForCausalLM""",
							    """RwkvModel""",
							    """RwkvPreTrainedModel""",
							]


if TYPE_CHECKING:
							from .configuration_rwkv import RWKV_PRETRAINED_CONFIG_ARCHIVE_MAP, RwkvConfig, RwkvOnnxConfig

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_rwkv import (
														    RWKV_PRETRAINED_MODEL_ARCHIVE_LIST,
														    RwkvForCausalLM,
														    RwkvModel,
														    RwkvPreTrainedModel,
														)
else:
							import sys

							a__			:						List[str]							=			_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)


