

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__			(       _a):
	SCREAMING_SNAKE_CASE :   List[str]					  =							[]

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

	return inputs

def 			lowerCamelCase__			(       _a):
	SCREAMING_SNAKE_CASE :   List[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 _UpperCamelCase				:
			'''simple docstring'''







			def 				__UpperCamelCase			(      self				:			Dict						)				->							List[Any]:

				"""simple docstring"""

				self.assertTrue(hasattr(self.tool   ,   "inputs"						)						)
				self.assertTrue(hasattr(self.tool   ,   "outputs"						)						)

				SCREAMING_SNAKE_CASE :   List[str]					  =							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 :   Optional[Any]					  =							self.tool.outputs
				for _output in outputs:
					self.assertTrue(_output in authorized_types						)
			def 				__UpperCamelCase			(      self				:			List[str]						)				->							List[str]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   List[str]					  =							create_inputs(self.tool.inputs						)
				SCREAMING_SNAKE_CASE :   Dict					  =							self.tool(*a						)

				# There is a single output
				if len(self.tool.outputs						) == 1:
					SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							[outputs]

				self.assertListEqual(output_types(a						)   ,   self.tool.outputs						)
			def 				__UpperCamelCase			(      self				:			List[str]						)				->							int:

				"""simple docstring"""

				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				:			str						)				->							Dict:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   Optional[int]					  =							create_inputs(self.tool.inputs						)
				SCREAMING_SNAKE_CASE :   Any					  =							self.tool(*a						)

				if not isinstance(a   ,   a						):
					SCREAMING_SNAKE_CASE :   Dict					  =							[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				:			List[str]						)				->							List[Any]:

				"""simple docstring"""

				SCREAMING_SNAKE_CASE :   List[str]					  =							create_inputs(self.tool.inputs						)

				SCREAMING_SNAKE_CASE :   List[Any]					  =							[]

				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 :   Tuple					  =							self.tool(*a						)

				if not isinstance(a   ,   a						):
					SCREAMING_SNAKE_CASE :   List[str]					  =							[outputs]

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


from operator import delitem, getitem, setitem

import pytest

from data_structures.hashing.hash_map import HashMap

def 			lowerCamelCase__			(       _a):
	return getitem, k

def 			lowerCamelCase__			(       _a				,      _a):
	return setitem, k, v

def 			lowerCamelCase__			(       _a):
	return delitem, k

def 			lowerCamelCase__			(       _a				,      _a				,      *_a):
	try:
		return fun(_a				,      *_a), None
	except Exception as e:
		return None, e


a_      =     (
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
)

a_      =     [
    _set('key_a', 'val_a'),
    _set('key_a', 'val_b'),
]

a_      =     [
    _set('key_a', 'val_a'),
    _set('key_b', 'val_b'),
    _del('key_a'),
    _del('key_b'),
    _set('key_a', 'val_a'),
    _del('key_a'),
]

a_      =     [
    _get('key_a'),
    _del('key_a'),
    _set('key_a', 'val_a'),
    _del('key_a'),
    _del('key_a'),
    _get('key_a'),
]

a_      =     [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
]

a_      =     [
    *[_set(x, x) for x in range(5)],  # guaranteed upsize
    *[_del(x) for x in range(5)],
    _set('key_a', 'val_b'),
]

@pytest.mark.parametrize(
    "operations"				,      (
        pytest.param(_add_items				,      id="add items"),
        pytest.param(_overwrite_items				,      id="overwrite items"),
        pytest.param(_delete_items				,      id="delete items"),
        pytest.param(_access_absent_items				,      id="access absent items"),
        pytest.param(_add_with_resize_up				,      id="add with resize up"),
        pytest.param(_add_with_resize_down				,      id="add with resize down"),
    )				,      )
def 			lowerCamelCase__			(       _a):
	SCREAMING_SNAKE_CASE :   Dict					  =							HashMap(initial_block_size=4)
	SCREAMING_SNAKE_CASE :   List[str]					  =							{}
	for _, (fun, *args) in enumerate(_a):
		SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							_run_operation(_a				,      _a				,      *_a)
		SCREAMING_SNAKE_CASE  ,SCREAMING_SNAKE_CASE :   List[Any]					  =							_run_operation(_a				,      _a				,      *_a)
		assert my_res == py_res
		assert str(_a) == str(_a)
		assert set(_a) == set(_a)
		assert len(_a) == len(_a)
		assert set(my.items()) == set(py.items())


def 			lowerCamelCase__			(       ):
	def is_public(_a) -> bool:
		return not name.startswith("_")

	SCREAMING_SNAKE_CASE :   List[str]					  =							{name for name in dir({}) if is_public(_a)}
	SCREAMING_SNAKE_CASE :   Union[str, Any]					  =							{name for name in dir(HashMap()) if is_public(_a)}

	assert dict_public_names > hash_public_names