

from pathlib import Path
from typing import List

from transformers import is_torch_available, is_vision_available
from transformers.testing_utils import get_tests_dir, is_tool_test
from transformers.tools.agent_types import AGENT_TYPE_MAPPING, AgentAudio, AgentImage, AgentText


if is_torch_available():
					import torch

if is_vision_available():
					from PIL import Image


a		=["""text""", """image""", """audio"""]






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					List[str]:
	__lowerCamelCase    :    int 	=			[]

	for input_type in input_types:
		if input_type == "text":
			inputs.append('Text input'      )
		elif input_type == "image":
			inputs.append(
			    Image.open(Path(get_tests_dir('fixtures/tests_samples/COCO'      )      ) / '000000039769.png'      ).resize((5_1_2, 5_1_2)      )      )
		elif input_type == "audio":
			inputs.append(torch.ones(3_0_0_0      )      )
		elif isinstance(lowerCamelCase__     ,			lowerCamelCase__      ):
			inputs.append(create_inputs(lowerCamelCase__      )      )
		else:
			raise ValueError(F"Invalid type requested: {input_type}"      )

	return inputs






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					str:
	__lowerCamelCase    :    Any 	=			[]

	for output in outputs:
		if isinstance(lowerCamelCase__     ,			(str, AgentText)      ):
			output_types.append('text'      )
		elif isinstance(lowerCamelCase__     ,			(Image.Image, AgentImage)      ):
			output_types.append('image'      )
		elif isinstance(lowerCamelCase__     ,			(torch.Tensor, AgentAudio)      ):
			output_types.append('audio'      )
		else:
			raise ValueError(F"Invalid output: {output}"      )

	return output_types






@is_tool_test
class 	A_		:
							def    lowerCAmelCase					(		self		:      str):
								self.assertTrue(hasattr(self.tool       ,'inputs'))
								self.assertTrue(hasattr(self.tool       ,'outputs'))

								__lowerCamelCase    :    Union[str, Any] 	=			self.tool.inputs
								for _input in inputs:
									if isinstance(_input       ,SCREAMING_SNAKE_CASE__):
										for __input in _input:
											self.assertTrue(__input in authorized_types)
									else:
										self.assertTrue(_input in authorized_types)

								__lowerCamelCase    :    Optional[Any] 	=			self.tool.outputs
								for _output in outputs:
									self.assertTrue(_output in authorized_types)
							def    lowerCAmelCase					(		self		:      int):
								__lowerCamelCase    :    List[str] 	=			create_inputs(self.tool.inputs)
								__lowerCamelCase    :    Optional[int] 	=			self.tool(*SCREAMING_SNAKE_CASE__)

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

								self.assertListEqual(output_types(SCREAMING_SNAKE_CASE__)       ,self.tool.outputs)
							def    lowerCAmelCase					(		self		:      List[str]):
								self.assertTrue(hasattr(self.tool       ,'description'))
								self.assertTrue(hasattr(self.tool       ,'default_checkpoint'))
								self.assertTrue(self.tool.description.startswith('This is a tool that'))
							def    lowerCAmelCase					(		self		:      Union[str, Any]):
								__lowerCamelCase    :    int 	=			create_inputs(self.tool.inputs)
								__lowerCamelCase    :    Dict 	=			self.tool(*SCREAMING_SNAKE_CASE__)

								if not isinstance(SCREAMING_SNAKE_CASE__       ,SCREAMING_SNAKE_CASE__):
									__lowerCamelCase    :    Union[str, Any] 	=			[outputs]

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

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


							def    lowerCAmelCase					(		self		:      Any):
								__lowerCamelCase    :    str 	=			create_inputs(self.tool.inputs)

								__lowerCamelCase    :    int 	=			[]

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

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

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







# Copyright 2021 The HuggingFace Team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

import argparse

from ...utils.dataclasses import (
    ComputeEnvironment,
    DistributedType,
    DynamoBackend,
    PrecisionType,
    SageMakerDistributedType,
)
from ..menu import BulletMenu


a		=[
    """EAGER""",
    """AOT_EAGER""",
    """INDUCTOR""",
    """NVFUSER""",
    """AOT_NVFUSER""",
    """AOT_CUDAGRAPHS""",
    """OFI""",
    """FX2TRT""",
    """ONNXRT""",
    """IPEX""",
]






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__=None     ,			lowerCamelCase__=None     ,			lowerCamelCase__=None      )  ->					Optional[int]:
	__lowerCamelCase    :    int 	=			True
	while ask_again:
		__lowerCamelCase    :    Dict 	=			input(lowerCamelCase__      )
		try:
			if default is not None and len(lowerCamelCase__      ) == 0:
				return default
			return convert_value(lowerCamelCase__      ) if convert_value is not None else result
		except Exception:
			if error_message is not None:
				print(lowerCamelCase__      )






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__     ,			lowerCamelCase__=[]     ,			lowerCamelCase__=None     ,			lowerCamelCase__=0      )  ->					str:
	__lowerCamelCase    :    Union[str, Any] 	=			BulletMenu(lowerCamelCase__     ,			lowerCamelCase__      )
	__lowerCamelCase    :    Tuple 	=			menu.run(default_choice=lowerCamelCase__      )
	return convert_value(lowerCamelCase__      ) if convert_value is not None else result






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					Dict:
	__lowerCamelCase    :    List[str] 	=			int(lowerCamelCase__      )
	return ComputeEnvironment(['LOCAL_MACHINE', 'AMAZON_SAGEMAKER'][value]      )






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					Optional[int]:
	__lowerCamelCase    :    Union[str, Any] 	=			int(lowerCamelCase__      )
	return DistributedType(['NO', 'MULTI_CPU', 'MULTI_XPU', 'MULTI_GPU', 'MULTI_NPU', 'TPU'][value]      )






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					Union[str, Any]:
	__lowerCamelCase    :    Optional[Any] 	=			int(lowerCamelCase__      )
	return DynamoBackend(DYNAMO_BACKENDS[value]      ).value






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					int:
	__lowerCamelCase    :    Union[str, Any] 	=			int(lowerCamelCase__      )
	return PrecisionType(['no', 'fp16', 'bf16', 'fp8'][value]      )






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					str:
	__lowerCamelCase    :    Optional[Any] 	=			int(lowerCamelCase__      )
	return SageMakerDistributedType(['NO', 'DATA_PARALLEL', 'MODEL_PARALLEL'][value]      )






def        SCREAMING_SNAKE_CASE__	(  lowerCamelCase__      )  ->					Optional[Any]:
	return {"yes": True, "no": False}[value.lower()]






class 	A_		(	argparse.RawDescriptionHelpFormatter    ):
							def    lowerCAmelCase					(		self		:      Optional[int]       ,SCREAMING_SNAKE_CASE__		:      str       ,SCREAMING_SNAKE_CASE__		:      int       ,SCREAMING_SNAKE_CASE__		:      Union[str, Any]       ,SCREAMING_SNAKE_CASE__		:      str):
								__lowerCamelCase    :    int 	=			super()._format_usage(SCREAMING_SNAKE_CASE__       ,SCREAMING_SNAKE_CASE__       ,SCREAMING_SNAKE_CASE__       ,SCREAMING_SNAKE_CASE__)
								__lowerCamelCase    :    Union[str, Any] 	=			usage.replace('<command> [<args>] '       ,'')
								return usage




