




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 lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


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

     return inputs







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     UpperCAmelCase_     :				Dict  =     []

     for output in outputs:
          if isinstance(_lowercase					,		(str, AgentText) ):
               output_types.append('''text''' )
          elif isinstance(_lowercase					,		(Image.Image, AgentImage) ):
               output_types.append('''image''' )
          elif isinstance(_lowercase					,		(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 				a__ ( self    )					->						Union[str, Any]:
         self.assertTrue(hasattr(self.tool  ,'''inputs'''    )    )
         self.assertTrue(hasattr(self.tool  ,'''outputs'''    )    )

         UpperCAmelCase_     :				str  =     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    )

         UpperCAmelCase_     :				Union[str, Any]  =     self.tool.outputs
         for _output in outputs:
              self.assertTrue(_output in authorized_types    )





    def 				a__ ( self    )					->						Any:
         UpperCAmelCase_     :				Union[str, Any]  =     create_inputs(self.tool.inputs    )
         UpperCAmelCase_     :				Any  =     self.tool(*_SCREAMING_SNAKE_CASE    )

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

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





    def 				a__ ( self    )					->						Optional[int]:
         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 				a__ ( self    )					->						Optional[int]:
         UpperCAmelCase_     :				Optional[Any]  =     create_inputs(self.tool.inputs    )
         UpperCAmelCase_     :				str  =     self.tool(*_SCREAMING_SNAKE_CASE    )

         if not isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
              UpperCAmelCase_     :				Union[str, Any]  =     [outputs]

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

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





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

         UpperCAmelCase_     :				Tuple  =     []

         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
         UpperCAmelCase_     :				List[Any]  =     self.tool(*_SCREAMING_SNAKE_CASE    )

         if not isinstance(_SCREAMING_SNAKE_CASE  ,_SCREAMING_SNAKE_CASE    ):
              UpperCAmelCase_     :				Optional[Any]  =     [outputs]

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





__a							     =					'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789+/'







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     if not isinstance(_lowercase					,		_lowercase ):
          UpperCAmelCase_     :				Union[str, Any]  =     f'''a bytes-like object is required, not \'{data.__class__.__name__}\''''
          raise TypeError(_lowercase )

     UpperCAmelCase_     :				Any  =     ''''''.join(bin(_lowercase )[2:].zfill(8 ) for byte in data )

     UpperCAmelCase_     :				Any  =     len(_lowercase ) % 6 != 0

     if padding_needed:
          # The padding that will be added later
          UpperCAmelCase_     :				Union[str, Any]  =     B'''=''' * ((6 - len(_lowercase ) % 6) // 2)

          # Append binary_stream with arbitrary binary digits (0's by default) to make its
          # length a multiple of 6.
          binary_stream += "0" * (6 - len(_lowercase ) % 6)
     else:
          UpperCAmelCase_     :				int  =     B''''''

     # Encode every 6 binary digits to their corresponding Base64 character
     return (
         "".join(
             B64_CHARSET[int(binary_stream[index : index + 6]					,		2 )]
             for index in range(0					,		len(_lowercase )					,		6 ) ).encode()
         + padding
     )







def lowerCamelCase__  (     _lowercase ):

     '''simple docstring'''


     if not isinstance(_lowercase					,		_lowercase ) and not isinstance(_lowercase					,		_lowercase ):
          UpperCAmelCase_     :				Tuple  =     (
              '''argument should be a bytes-like object or ASCII string, '''
              f'''not \'{encoded_data.__class__.__name__}\''''
          )
          raise TypeError(_lowercase )

     # In case encoded_data is a bytes-like object, make sure it contains only
     # ASCII characters so we convert it to a string object
     if isinstance(_lowercase					,		_lowercase ):
          try:
               UpperCAmelCase_     :				Any  =     encoded_data.decode('''utf-8''' )
          except UnicodeDecodeError:
               raise ValueError('''base64 encoded data should only contain ASCII characters''' )

     UpperCAmelCase_     :				str  =     encoded_data.count('''=''' )

     # Check if the encoded string contains non base64 characters
     if padding:
          assert all(
              char in B64_CHARSET for char in encoded_data[:-padding] ), "Invalid base64 character(s) found."
     else:
          assert all(
              char in B64_CHARSET for char in encoded_data ), "Invalid base64 character(s) found."

     # Check the padding
     assert len(_lowercase ) % 4 == 0 and padding < 3, "Incorrect padding"

     if padding:
          # Remove padding if there is one
          UpperCAmelCase_     :				List[Any]  =     encoded_data[:-padding]

          UpperCAmelCase_     :				List[Any]  =     ''''''.join(
              bin(B64_CHARSET.index(_lowercase ) )[2:].zfill(6 ) for char in encoded_data )[: -padding * 2]
     else:
          UpperCAmelCase_     :				Tuple  =     ''''''.join(
              bin(B64_CHARSET.index(_lowercase ) )[2:].zfill(6 ) for char in encoded_data )

     UpperCAmelCase_     :				str  =     [
         int(binary_stream[index : index + 8]					,		2 )
         for index in range(0					,		len(_lowercase )					,		8 )
     ]

     return bytes(_lowercase )


if __name__ == "__main__":
     import doctest

     doctest.testmod()