






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







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							List[str]     ):
	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   SCREAMING_SNAKE_CASE       (				snake_case_      :							List     ):
	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 							SCREAMING_SNAKE_CASE__		:





					"""simple docstring"""






					def  _lowercase  (      self  :						int ):
						self.assertTrue(hasattr(self.tool							,	"inputs" ) )
						self.assertTrue(hasattr(self.tool							,	"outputs" ) )

						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 )

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



					def  _lowercase  (      self  :						str ):
						snake_case__				:   List[Any]     =						create_inputs(self.tool.inputs )
						snake_case__				:   List[Any]     =						self.tool(*__A )

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

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



					def  _lowercase  (      self  :						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  _lowercase  (      self  :						int ):
						snake_case__				:   int     =						create_inputs(self.tool.inputs )
						snake_case__				:   int     =						self.tool(*__A )

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

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

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






					def  _lowercase  (      self  :						str ):
						snake_case__				:   List[Any]     =						create_inputs(self.tool.inputs )

						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
						snake_case__				:   Union[str, Any]     =						self.tool(*__A )

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

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











# tests directory-specific settings - this file is run automatically
# by pytest before any tests are run

import sys
import warnings
from os.path import abspath, dirname, join


# allow having multiple repository checkouts and not needing to remember to rerun
# 'pip install -e .[dev]' when switching between checkouts and running tests.
__lowerCamelCase      :    Dict   		=   abspath(join(dirname(dirname(__file__)), """src"""))
sys.path.insert(1, git_repo_path)

# silence FutureWarning warnings in tests since often we can't act on them until
# they become normal warnings - i.e. the tests still need to test the current functionality
warnings.simplefilter(action="""ignore""", category=FutureWarning)







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							str     ):
	from diffusers.utils.testing_utils import pytest_addoption_shared

	pytest_addoption_shared(snake_case_     )







def   SCREAMING_SNAKE_CASE       (				snake_case_      :							Any     ):
	from diffusers.utils.testing_utils import pytest_terminal_summary_main

	snake_case__				:   Optional[int]     =						terminalreporter.config.getoption("--make-reports"     )
	if make_reports:
		pytest_terminal_summary_main(snake_case_  ,						id=snake_case_     )



