

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


__lowercase     : List[str]       =						['''text''', '''image''', '''audio''']







def       lowercase					(	__A :					List[str]		)				->			List[str]:





    '''simple docstring'''




    snake_case							:		Optional[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(__A ,    __A		):
            inputs.append(create_inputs(__A		)		)
        else:
            raise ValueError(f"""Invalid type requested: {input_type}"""		)

    return inputs







def       lowercase					(	__A :					List		)				->			Union[str, Any]:





    '''simple docstring'''




    snake_case							:		Dict        =		[]

    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 						_A     :





  '''simple docstring'''



  def    snake_case_       (  self    ):

      '''simple docstring'''
      self.assertTrue(hasattr(self.tool   ,"""inputs"""    )    )
      self.assertTrue(hasattr(self.tool   ,"""outputs"""    )    )

      snake_case							:		Dict        =		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    )

      snake_case							:		int        =		self.tool.outputs
      for _output in outputs:
          self.assertTrue(_output in authorized_types    )





  def    snake_case_       (  self    ):

      '''simple docstring'''
      snake_case							:		List[str]        =		create_inputs(self.tool.inputs    )
      snake_case							:		str        =		self.tool(*SCREAMING_SNAKE_CASE_    )

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

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





  def    snake_case_       (  self    ):

      '''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    snake_case_       (  self    ):

      '''simple docstring'''
      snake_case							:		List[Any]        =		create_inputs(self.tool.inputs    )
      snake_case							:		int        =		self.tool(*SCREAMING_SNAKE_CASE_    )

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

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

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





  def    snake_case_       (  self    ):

      '''simple docstring'''
      snake_case							:		Tuple        =		create_inputs(self.tool.inputs    )

      snake_case							:		Any        =		[]

      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
      snake_case							:		Tuple        =		self.tool(*SCREAMING_SNAKE_CASE_    )

      if not isinstance(SCREAMING_SNAKE_CASE_   ,SCREAMING_SNAKE_CASE_    ):
          snake_case							:		Union[str, Any]        =		[outputs]

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







from math import factorial



def       _lowerCAmelCase    (				lowerCAmelCase_				:int = 20				)->int:
   '''simple docstring'''






   snake_case_            =       2 * n  # middle entry of odd rows starting at row 3 is the solution for n = 1,
   # 2, 3,...
   snake_case_            =       n // 2

   return int(factorial(lowerCAmelCase_				) / (factorial(lowerCAmelCase_				) * factorial(n - k				))				)


if __name__ == "__main__":
   import sys

   if len(sys.argv) == 1:
      print(solution(20))
   else:
      try:
         SCREAMING_SNAKE_CASE						:Any			=  int(sys.argv[1])
         print(solution(n))
      except ValueError:
         print('''Invalid entry - please enter a number.''')




