


'''simple docstring'''




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[Any]		     =	['text', 'image', 'audio']

def 			__UpperCamelCase    (    _A    :				List[str]				)    ->      Optional[int]:




	"""simple docstring"""





	lowerCAmelCase					:    List[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((5_12, 5_12)				)				)
		elif input_type == "audio":
			inputs.append(torch.ones(30_00				)				)
		elif isinstance(_A					,   _A				):
			inputs.append(create_inputs(_A				)				)
		else:
			raise ValueError(F"Invalid type requested: {input_type}"				)

	return inputs

def 			__UpperCamelCase    (    _A    :				List				)    ->      Any:




	"""simple docstring"""





	lowerCAmelCase					:    List[str]      							= []

	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  lowerCAmelCase				:



	def 				lowercase     (					self    ):
		self.assertTrue(hasattr(self.tool ,					'inputs'    )    )
		self.assertTrue(hasattr(self.tool ,					'outputs'    )    )

		lowerCAmelCase					:    Dict      							= self.tool.inputs
		for _input in inputs:
			if isinstance(_input ,					snake_case__    ):
				for __input in _input:
					self.assertTrue(__input in authorized_types    )
			else:
				self.assertTrue(_input in authorized_types    )

		lowerCAmelCase					:    Dict      							= self.tool.outputs
		for _output in outputs:
			self.assertTrue(_output in authorized_types    )



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= create_inputs(self.tool.inputs    )
		lowerCAmelCase					:    Any      							= self.tool(*snake_case__    )

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

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



	def 				lowercase     (					self    ):
		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    ):
		lowerCAmelCase					:    List[Any]      							= create_inputs(self.tool.inputs    )
		lowerCAmelCase					:    Union[str, Any]      							= self.tool(*snake_case__    )

		if not isinstance(snake_case__ ,					snake_case__    ):
			lowerCAmelCase					:    Tuple      							= [outputs]

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

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



	def 				lowercase     (					self    ):
		lowerCAmelCase					:    str      							= create_inputs(self.tool.inputs    )

		lowerCAmelCase					:    Tuple      							= []

		for _input, input_type in zip(snake_case__ ,					self.tool.inputs    ):
			if isinstance(snake_case__ ,					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
		lowerCAmelCase					:    Dict      							= self.tool(*snake_case__    )

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

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




'''simple docstring'''




def 			__UpperCamelCase    (    _A    :				List[str]				)    ->      Optional[Any]:




	"""simple docstring"""





	if not head:
		return True
	# split the list to two parts
	lowerCAmelCase							,   lowerCAmelCase					:    str      							= head.next, head
	while fast and fast.next:
		lowerCAmelCase					:    Optional[int]      							= fast.next.next
		lowerCAmelCase					:    int      							= slow.next
	lowerCAmelCase					:    int      							= slow.next
	lowerCAmelCase					:    Optional[Any]      							= None  # Don't forget here! But forget still works!
	# reverse the second part
	lowerCAmelCase					:    List[Any]      							= None
	while second:
		lowerCAmelCase					:    List[Any]      							= second.next
		lowerCAmelCase					:    Union[str, Any]      							= node
		lowerCAmelCase					:    Optional[Any]      							= second
		lowerCAmelCase					:    Any      							= nxt
	# compare two parts
	# second part has the same or one less node
	while node:
		if node.val != head.val:
			return False
		lowerCAmelCase					:    Optional[Any]      							= node.next
		lowerCAmelCase					:    Tuple      							= head.next
	return True

def 			__UpperCamelCase    (    _A    :				Optional[Any]				)    ->      Optional[int]:




	"""simple docstring"""





	if not head or not head.next:
		return True

	# 1. Get the midpoint (slow)
	lowerCAmelCase					:    Optional[int]      							= head
	while fast and fast.next:
		lowerCAmelCase							,   lowerCAmelCase					:    Optional[Any]      							= fast.next.next, slow.next

	# 2. Push the second half into the stack
	lowerCAmelCase					:    Tuple      							= [slow.val]
	while slow.next:
		lowerCAmelCase					:    Tuple      							= slow.next
		stack.append(slow.val				)

	# 3. Comparison
	while stack:
		if stack.pop() != cur.val:
			return False
		lowerCAmelCase					:    Union[str, Any]      							= cur.next

	return True






def 			__UpperCamelCase    (    _A    :				Tuple				)    ->      Optional[int]:




	"""simple docstring"""





	if not head or not head.next:
		return True
	lowerCAmelCase					:    Optional[int]      							= {}
	lowerCAmelCase					:    int      							= 0
	while head:
		if head.val in d:
			d[head.val].append(_A				)
		else:
			lowerCAmelCase					:    Any      							= [pos]
		lowerCAmelCase					:    int      							= head.next
		pos += 1
	lowerCAmelCase					:    str      							= pos - 1
	lowerCAmelCase					:    Optional[Any]      							= 0
	for v in d.values():
		if len(_A				) % 2 != 0:
			middle += 1
		else:
			lowerCAmelCase					:    Any      							= 0
			for i in range(0					,   len(_A				)				):
				if v[i] + v[len(_A				) - 1 - step] != checksum:
					return False
				step += 1
		if middle > 1:
			return False
	return True
