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    __lowercase     (						lowerCamelCase					:     List[str]	):
 UpperCamelCase_					:						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((512, 512)	)	)
  elif input_type == "audio":
   inputs.append(torch.ones(3000	)	)
  elif isinstance(lowerCamelCase  ,  lowerCamelCase	):
   inputs.append(create_inputs(lowerCamelCase	)	)
  else:
   raise ValueError(F"Invalid type requested: {input_type}"	)

 return inputs





def    __lowercase     (						lowerCamelCase					:     List	):
 UpperCamelCase_					:						str =					[]

 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 		_lowercase						:

 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[str]			)   ->						str:

  """simple docstring"""





  self.assertTrue(hasattr(self.tool   ,      'inputs'			)			)
  self.assertTrue(hasattr(self.tool   ,      'outputs'			)			)

  UpperCamelCase_					:						List[Any] =					self.tool.inputs
  for _input in inputs:
   if isinstance(_input   ,      snake_case			):
    for __input in _input:
     self.assertTrue(__input in authorized_types			)
   else:
    self.assertTrue(_input in authorized_types			)

  UpperCamelCase_					:						str =					self.tool.outputs
  for _output in outputs:
   self.assertTrue(_output in authorized_types			)

 def 						SCREAMING_SNAKE_CASE__   ( self	:							int			)   ->						Optional[Any]:

  """simple docstring"""





  UpperCamelCase_					:						str =					create_inputs(self.tool.inputs			)
  UpperCamelCase_					:						int =					self.tool(*snake_case			)

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

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

 def 						SCREAMING_SNAKE_CASE__   ( self	:							Tuple			)   ->						str:

  """simple docstring"""





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

  """simple docstring"""





  UpperCamelCase_					:						int =					create_inputs(self.tool.inputs			)
  UpperCamelCase_					:						Union[str, Any] =					self.tool(*snake_case			)

  if not isinstance(snake_case   ,      snake_case			):
   UpperCamelCase_					:						Optional[Any] =					[outputs]

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

  for output, output_type in zip(snake_case   ,      self.tool.outputs			):
   UpperCamelCase_					:						Union[str, Any] =					AGENT_TYPE_MAPPING[output_type]
   self.assertTrue(isinstance(snake_case   ,      snake_case			)			)


 def 						SCREAMING_SNAKE_CASE__   ( self	:							List[str]			)   ->						str:

  """simple docstring"""





  UpperCamelCase_					:						Dict =					create_inputs(self.tool.inputs			)

  UpperCamelCase_					:						Optional[int] =					[]

  for _input, input_type in zip(snake_case   ,      self.tool.inputs			):
   if isinstance(snake_case   ,      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
  UpperCamelCase_					:						Union[str, Any] =					self.tool(*snake_case			)

  if not isinstance(snake_case   ,      snake_case			):
   UpperCamelCase_					:						Tuple =					[outputs]

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




from __future__ import annotations





def    __lowercase     (						lowerCamelCase					:     Optional[Any]  ,  lowerCamelCase					:     Dict  ,  lowerCamelCase					:     Union[str, Any]  ,  lowerCamelCase					:     List[str]	):  # noqa: E741
 while r - l > 1:
  UpperCamelCase_					:						Union[str, Any] =					(l + r) // 2
  if v[m] >= key:
   UpperCamelCase_					:						str =					m
  else:
   UpperCamelCase_					:						List[Any] =					m  # noqa: E741
 return r





def    __lowercase     (						lowerCamelCase					:     list[int]	):
 if len(lowerCamelCase	) == 0:
  return 0

 UpperCamelCase_					:						Tuple =					[0] * len(lowerCamelCase	)
 UpperCamelCase_					:						int =					1

 UpperCamelCase_					:						Dict =					v[0]

 for i in range(1  ,  len(lowerCamelCase	)	):
  if v[i] < tail[0]:
   UpperCamelCase_					:						Any =					v[i]
  elif v[i] > tail[length - 1]:
   UpperCamelCase_					:						Dict =					v[i]
   length += 1
  else:
   UpperCamelCase_					:						List[str] =					v[i]

 return length


if __name__ == "__main__":
   import doctest

   doctest.testmod()



