





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


UpperCamelCase__     :   Optional[int]      =["""text""", """image""", """audio"""]






def     lowerCamelCase__			(__lowerCamelCase	):
     _SCREAMING_SNAKE_CASE       :	Union[str, Any]						    =							[]

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

     return inputs






def     lowerCamelCase__			(__lowerCamelCase	):
     _SCREAMING_SNAKE_CASE       :	int						    =							[]

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

     return output_types





@is_tool_test
class 			lowerCAmelCase__:






       '''simple docstring'''


       def     UpperCamelCase_			(      self							)			->     str:
            self.assertTrue(hasattr(self.tool    ,						"inputs"							)							)
            self.assertTrue(hasattr(self.tool    ,						"outputs"							)							)

            _SCREAMING_SNAKE_CASE       :	Tuple						    =							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:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							create_inputs(self.tool.inputs							)
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							self.tool(*__A							)

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

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




       def     UpperCamelCase_			(      self							)			->     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							)			->     Optional[Any]:
            _SCREAMING_SNAKE_CASE       :	int						    =							create_inputs(self.tool.inputs							)
            _SCREAMING_SNAKE_CASE       :	int						    =							self.tool(*__A							)

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

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

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







       def     UpperCamelCase_			(      self							)			->     Tuple:
            _SCREAMING_SNAKE_CASE       :	List[Any]						    =							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       :	Union[str, Any]						    =							self.tool(*__A							)

            if not isinstance(__A    ,						__A							):
                 _SCREAMING_SNAKE_CASE       :	int						    =							[outputs]

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






from __future__ import annotations

UpperCamelCase__      =[True] * 100_0001
UpperCamelCase__      =2
while i * i <= 100_0000:
       if seive[i]:
              for j in range(i * i, 100_0001, i):
                     UpperCamelCase__      =False
       i += 1






def     lowerCamelCase__			(__lowerCamelCase	):
     return seive[n]






def     lowerCamelCase__			(__lowerCamelCase	):
     return any(digit in "02468" for digit in str(__lowerCamelCase	)	)






def     lowerCamelCase__			(__lowerCamelCase = 1000000	):
     _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							[2]  # result already includes the number 2.
     for num in range(3,       limit + 1,       2	):
          if is_prime(__lowerCamelCase	) and not contains_an_even_digit(__lowerCamelCase	):
               _SCREAMING_SNAKE_CASE       :	List[Any]						    =							str(__lowerCamelCase	)
               _SCREAMING_SNAKE_CASE       :	Optional[Any]						    =							[int(str_num[j:] + str_num[:j]	) for j in range(len(__lowerCamelCase	)	)]
               if all(is_prime(__lowerCamelCase	) for i in list_nums	):
                    result.append(__lowerCamelCase	)
     return result






def     lowerCamelCase__			():
     return len(find_circular_primes()	)


if __name__ == "__main__":
       print(f"{len(find_circular_primes()) = }")