



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_  :Optional[Any]     = ['''text''', '''image''', '''audio''']
def 			lowercase_				(A					:					Optional[int] ):
       snake_case__				:      Tuple        =      []

       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(__a						,   __a ):
                     inputs.append(create_inputs(__a ) )
              else:
                     raise ValueError(F'''Invalid type requested: {input_type}''' )

       return inputs
def 			lowercase_				(A					:					Union[str, Any] ):
       snake_case__				:      Any        =      []

       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    snake_case__		:






     """simple docstring"""


     def   lowercase_  (			self    :    str   )  ->Dict:
            self.assertTrue(hasattr(self.tool,					'inputs'   )   )
            self.assertTrue(hasattr(self.tool,					'outputs'   )   )

            snake_case__				:      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   )

            snake_case__				:      List[Any]        =      self.tool.outputs
            for _output in outputs:
                   self.assertTrue(_output in authorized_types   )






     def   lowercase_  (			self    :    Union[str, Any]   )  ->Tuple:
            snake_case__				:      Optional[int]        =      create_inputs(self.tool.inputs   )
            snake_case__				:      Union[str, Any]        =      self.tool(*_snake_case   )

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

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






     def   lowercase_  (			self    :    Dict   )  ->Tuple:
            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   lowercase_  (			self    :    Union[str, Any]   )  ->Tuple:
            snake_case__				:      List[str]        =      create_inputs(self.tool.inputs   )
            snake_case__				:      List[Any]        =      self.tool(*_snake_case   )

            if not isinstance(_snake_case,					_snake_case   ):
                   snake_case__				:      Optional[Any]        =      [outputs]

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

            for output, output_type in zip(_snake_case,					self.tool.outputs   ):
                   snake_case__				:      Tuple        =      AGENT_TYPE_MAPPING[output_type]
                   self.assertTrue(isinstance(_snake_case,					_snake_case   )   )






     def   lowercase_  (			self    :    Tuple   )  ->Optional[Any]:
            snake_case__				:      Tuple        =      create_inputs(self.tool.inputs   )

            snake_case__				:      List[str]        =      []

            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
            snake_case__				:      str        =      self.tool(*_snake_case   )

            if not isinstance(_snake_case,					_snake_case   ):
                   snake_case__				:      List[Any]        =      [outputs]

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








"""simple docstring"""





def 				A_  (__a					):

					'''simple docstring'''





					A_								=    len(__a					)
					while cur > 1:
										# Find the maximum number in arr
										A_								=    arr.index(max(arr[0:cur]					)					)
										# Reverse from 0 to mi
										A_								=    arr[mi::-1] + arr[mi + 1 : len(__a					)]
										# Reverse whole list
										A_								=    arr[cur - 1 :: -1] + arr[cur : len(__a					)]
										cur -= 1
					return arr


if __name__ == "__main__":
		UpperCamelCase_       :    Optional[Any]						      =			input('''Enter numbers separated by a comma:\n''').strip()
		UpperCamelCase_       :    Any						      =			[int(item) for item in user_input.split(''',''')]
		print(pancake_sort(unsorted))




