




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						:   Union[str, Any]		=   ["text", "image", "audio"]



def 						lowerCAmelCase		(		_lowerCAmelCase							:   List[str]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[]

 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 						lowerCAmelCase		(		_lowerCAmelCase							:   List	):




 """simple docstring"""







 UpperCAmelCase__							 =						[]

 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 			_UpperCamelCase      :
      def 	UpperCAmelCase_						(			self   :Tuple      )     ->			Optional[int]:
       self.assertTrue(hasattr(self.tool ,      "inputs"      )      )
       self.assertTrue(hasattr(self.tool ,      "outputs"      )      )

       UpperCAmelCase__							 =						self.tool.inputs
       for _input in inputs:
        if isinstance(_input ,      lowerCamelCase      ):
         for __input in _input:
          self.assertTrue(__input in authorized_types      )
        else:
         self.assertTrue(_input in authorized_types      )

       UpperCAmelCase__							 =						self.tool.outputs
       for _output in outputs:
        self.assertTrue(_output in authorized_types      )
      def 	UpperCAmelCase_						(			self   :List[str]      )     ->			List[Any]:
       UpperCAmelCase__							 =						create_inputs(self.tool.inputs      )
       UpperCAmelCase__							 =						self.tool(*lowerCamelCase      )

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

       self.assertListEqual(output_types(lowerCamelCase      ) ,      self.tool.outputs      )
      def 	UpperCAmelCase_						(			self   :Union[str, Any]      )     ->			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 	UpperCAmelCase_						(			self   :List[str]      )     ->			Optional[int]:
       UpperCAmelCase__							 =						create_inputs(self.tool.inputs      )
       UpperCAmelCase__							 =						self.tool(*lowerCamelCase      )

       if not isinstance(lowerCamelCase ,      lowerCamelCase      ):
        UpperCAmelCase__							 =						[outputs]

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

       for output, output_type in zip(lowerCamelCase ,      self.tool.outputs      ):
        UpperCAmelCase__							 =						AGENT_TYPE_MAPPING[output_type]
        self.assertTrue(isinstance(lowerCamelCase ,      lowerCamelCase      )      )







      def 	UpperCAmelCase_						(			self   :Optional[int]      )     ->			Union[str, Any]:
       UpperCAmelCase__							 =						create_inputs(self.tool.inputs      )

       UpperCAmelCase__							 =						[]

       for _input, input_type in zip(lowerCamelCase ,      self.tool.inputs      ):
        if isinstance(lowerCamelCase ,      lowerCamelCase      ):
         _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__							 =						self.tool(*lowerCamelCase      )

       if not isinstance(lowerCamelCase ,      lowerCamelCase      ):
        UpperCAmelCase__							 =						[outputs]

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











from __future__ import annotations



def 						lowerCAmelCase		(		_lowerCAmelCase							:   int = 4	):




 """simple docstring"""







 UpperCAmelCase__							 =						abs(_lowerCAmelCase	) or 4
 return [[1 + x + y * row_size for x in range(_lowerCAmelCase	)] for y in range(_lowerCAmelCase	)]



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 return reverse_row(transpose(_lowerCAmelCase	)	)
 # OR.. transpose(reverse_column(matrix))



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 return reverse_row(reverse_column(_lowerCAmelCase	)	)
 # OR.. reverse_column(reverse_row(matrix))



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 return reverse_column(transpose(_lowerCAmelCase	)	)
 # OR.. transpose(reverse_row(matrix))



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[list(_lowerCAmelCase	) for x in zip(*_lowerCAmelCase	)]
 return matrix



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 UpperCAmelCase__							 =						matrix[::-1]
 return matrix



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 UpperCAmelCase__							 =						[x[::-1] for x in matrix]
 return matrix



def 						lowerCAmelCase		(		_lowerCAmelCase							:   list[list[int]]	):




 """simple docstring"""







 for i in matrix:
  print(*_lowerCAmelCase	)


if __name__ == "__main__":
  _lowerCAmelCase						:   Optional[int]		=   make_matrix()
  print("\norigin:\n")
  print_matrix(matrix)
  print("\nrotate 90 counterclockwise:\n")
  print_matrix(rotate_aa(matrix))

  _lowerCAmelCase						:   Union[str, Any]		=   make_matrix()
  print("\norigin:\n")
  print_matrix(matrix)
  print("\nrotate 180:\n")
  print_matrix(rotate_aaa(matrix))

  _lowerCAmelCase						:   Optional[int]		=   make_matrix()
  print("\norigin:\n")
  print_matrix(matrix)
  print("\nrotate 270 counterclockwise:\n")
  print_matrix(rotate_aaa(matrix))





