





"""simple docstring"""
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


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



def 	__lowerCamelCase  (				a_	:						Any				)     -> Dict:
      __SCREAMING_SNAKE_CASE  :str													=    []

      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_12, 5_12)				)				)
            elif input_type == "audio":
                  inputs.append(torch.ones(30_00				)				)
            elif isinstance(a_					,  a_				):
                  inputs.append(create_inputs(a_				)				)
            else:
                  raise ValueError(f'''Invalid type requested: {input_type}'''				)

      return inputs



def 	__lowerCamelCase  (				a_	:						Tuple				)     -> str:
      __SCREAMING_SNAKE_CASE  :Tuple													=    []

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

      return output_types







@is_tool_test
class    _SCREAMING_SNAKE_CASE:




       def        _UpperCamelCase	(		self				)     -> Optional[Any]:





             """simple docstring"""






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

             __SCREAMING_SNAKE_CASE  :Optional[Any]													=    self.tool.inputs
             for _input in inputs:
                   if isinstance(_input						,a_				):
                         for __input in _input:
                               self.assertTrue(__input in authorized_types				)
                   else:
                         self.assertTrue(_input in authorized_types				)

             __SCREAMING_SNAKE_CASE  :Any													=    self.tool.outputs
             for _output in outputs:
                   self.assertTrue(_output in authorized_types				)




       def        _UpperCamelCase	(		self				)     -> Any:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE  :Any													=    create_inputs(self.tool.inputs				)
             __SCREAMING_SNAKE_CASE  :Tuple													=    self.tool(*a_				)

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

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




       def        _UpperCamelCase	(		self				)     -> List[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        _UpperCamelCase	(		self				)     -> int:





             """simple docstring"""






             __SCREAMING_SNAKE_CASE  :str													=    create_inputs(self.tool.inputs				)
             __SCREAMING_SNAKE_CASE  :str													=    self.tool(*a_				)

             if not isinstance(a_						,a_				):
                   __SCREAMING_SNAKE_CASE  :Union[str, Any]													=    [outputs]

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

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




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





             """simple docstring"""






             __SCREAMING_SNAKE_CASE  :int													=    create_inputs(self.tool.inputs				)

             __SCREAMING_SNAKE_CASE  :str													=    []

             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  :Optional[int]													=    self.tool(*a_				)

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

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



'''simple docstring'''
def 	_A  (       A							)  ->				list:

	if len(A							) <= 1:
		return [tuple(A							)]

	lowercase						:		Dict   					=		[]

	def generate(A							,A							):
		lowercase						:		List[Any]   					=		[0] * n
		res.append(tuple(A							)							)

		lowercase						:		Tuple   					=		0
		while i < n:
			if c[i] < i:
				if i % 2 == 0:
					lowercase					,		lowercase						:		List[Any]   					=		arr[i], arr[0]
				else:
					lowercase					,		lowercase						:		Optional[Any]   					=		arr[i], arr[c[i]]
				res.append(tuple(A							)							)
				c[i] += 1
				lowercase						:		Optional[Any]   					=		0
			else:
				lowercase						:		Any   					=		0
				i += 1

	generate(len(A							)							,A							)
	return res


if __name__ == "__main__":
					lowerCAmelCase   : Any             =				input("""Enter numbers separated by a comma:\n""").strip()
					lowerCAmelCase   : List[str]             =				[int(item) for item in user_input.split(""",""")]
					print(heaps(arr))


