




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


SCREAMING_SNAKE_CASE__     :     Union[str, Any]		    =       ["text", "image", "audio"]

def lowercase    (  SCREAMING_SNAKE_CASE )			->							Tuple:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						[]

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

			return inputs

def lowercase    (  SCREAMING_SNAKE_CASE )			->							List[str]:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						[]

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

			return output_types



@is_tool_test
class       a_       :





	def 						A_(							self      )  ->					int:




				"""simple docstring"""



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

				SCREAMING_SNAKE_CASE_								=						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      )

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





	def 						A_(							self      )  ->					str:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						create_inputs(self.tool.inputs      )
				SCREAMING_SNAKE_CASE_								=						self.tool(*SCREAMING_SNAKE_CASE      )

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

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





	def 						A_(							self      )  ->					Optional[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 						A_(							self      )  ->					Any:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						create_inputs(self.tool.inputs      )
				SCREAMING_SNAKE_CASE_								=						self.tool(*SCREAMING_SNAKE_CASE      )

				if not isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ):
							SCREAMING_SNAKE_CASE_								=						[outputs]

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

				for output, output_type in zip(SCREAMING_SNAKE_CASE      ,     self.tool.outputs      ):
							SCREAMING_SNAKE_CASE_								=						AGENT_TYPE_MAPPING[output_type]
							self.assertTrue(isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      )      )





	def 						A_(							self      )  ->					List[Any]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						create_inputs(self.tool.inputs      )

				SCREAMING_SNAKE_CASE_								=						[]

				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
				SCREAMING_SNAKE_CASE_								=						self.tool(*SCREAMING_SNAKE_CASE      )

				if not isinstance(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      ):
							SCREAMING_SNAKE_CASE_								=						[outputs]

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






class       a_       :





	def __init__(							self      ,     SCREAMING_SNAKE_CASE = ""      ,     SCREAMING_SNAKE_CASE = False      )  ->					None:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						{}

				# A node will be a leaf if the tree contains its word
				SCREAMING_SNAKE_CASE_								=						is_leaf

				SCREAMING_SNAKE_CASE_								=						prefix





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					tuple[str, str, str]:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						0
				for q, w in zip(self.prefix      ,     SCREAMING_SNAKE_CASE      ):
							if q != w:
										break

							x += 1

				return self.prefix[:x], self.prefix[x:], word[x:]





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				for word in words:
							self.insert(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					None:




				"""simple docstring"""



				if self.prefix == word:
							SCREAMING_SNAKE_CASE_								=						True

				# Case 2: The node has no edges that have a prefix to the word
				# Solution: We create an edge from the current node to a new one
				# containing the word
				elif word[0] not in self.nodes:
							SCREAMING_SNAKE_CASE_								=						RadixNode(prefix=SCREAMING_SNAKE_CASE      ,     is_leaf=SCREAMING_SNAKE_CASE      )

				else:
							SCREAMING_SNAKE_CASE_								=						self.nodes[word[0]]
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						incoming_node.match(
							    SCREAMING_SNAKE_CASE      )

							# Case 3: The node prefix is equal to the matching
							# Solution: We insert remaining word on the next node
							if remaining_prefix == "":
										self.nodes[matching_string[0]].insert(SCREAMING_SNAKE_CASE      )

							# Case 4: The word is greater equal to the matching
							# Solution: Create a node in between both nodes, change
							# prefixes and add the new node for the remaining word
							else:
										SCREAMING_SNAKE_CASE_								=						remaining_prefix

										SCREAMING_SNAKE_CASE_								=						self.nodes[matching_string[0]]
										SCREAMING_SNAKE_CASE_								=						RadixNode(SCREAMING_SNAKE_CASE      ,     SCREAMING_SNAKE_CASE      )
										SCREAMING_SNAKE_CASE_								=						aux_node

										if remaining_word == "":
													SCREAMING_SNAKE_CASE_								=						True
										else:
													self.nodes[matching_string[0]].insert(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					bool:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.nodes.get(word[0]      ,     SCREAMING_SNAKE_CASE      )
				if not incoming_node:
							return False
				else:
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						incoming_node.match(
							    SCREAMING_SNAKE_CASE      )
							# If there is remaining prefix, the word can't be on the tree
							if remaining_prefix != "":
										return False
							# This applies when the word and the prefix are equal
							elif remaining_word == "":
										return incoming_node.is_leaf
							# We have word remaining so we check the next node
							else:
										return incoming_node.find(SCREAMING_SNAKE_CASE      )





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE      )  ->					bool:




				"""simple docstring"""



				SCREAMING_SNAKE_CASE_								=						self.nodes.get(word[0]      ,     SCREAMING_SNAKE_CASE      )
				if not incoming_node:
							return False
				else:
							SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_						,		SCREAMING_SNAKE_CASE_								=						incoming_node.match(
							    SCREAMING_SNAKE_CASE      )
							# If there is remaining prefix, the word can't be on the tree
							if remaining_prefix != "":
										return False
							# We have word remaining so we check the next node
							elif remaining_word != "":
										return incoming_node.delete(SCREAMING_SNAKE_CASE      )
							else:
										# If it is not a leaf, we don't have to delete
										if not incoming_node.is_leaf:
													return False
										else:
													# We delete the nodes if no edges go from it
													if len(incoming_node.nodes      ) == 0:
																del self.nodes[word[0]]
																# We merge the current node with its only child
																if len(self.nodes      ) == 1 and not self.is_leaf:
																			SCREAMING_SNAKE_CASE_								=						list(self.nodes.values()      )[0]
																			SCREAMING_SNAKE_CASE_								=						merging_node.is_leaf
																			self.prefix += merging_node.prefix
																			SCREAMING_SNAKE_CASE_								=						merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
													elif len(incoming_node.nodes      ) > 1:
																SCREAMING_SNAKE_CASE_								=						False
													# If there is 1 edge, we merge it with its child
													else:
																SCREAMING_SNAKE_CASE_								=						list(incoming_node.nodes.values()      )[0]
																SCREAMING_SNAKE_CASE_								=						merging_node.is_leaf
																incoming_node.prefix += merging_node.prefix
																SCREAMING_SNAKE_CASE_								=						merging_node.nodes

													return True





	def 						A_(							self      ,     SCREAMING_SNAKE_CASE = 0      )  ->					None:




				"""simple docstring"""



				if self.prefix != "":
							print('-' * height      ,     self.prefix      ,     '  (leaf)' if self.is_leaf else ''      )

				for value in self.nodes.values():
							value.print_tree(height + 1      )




def lowercase    (  )			->							bool:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						'banana bananas bandana band apple all beast'.split()
			SCREAMING_SNAKE_CASE_								=						RadixNode()
			root.insert_many(SCREAMING_SNAKE_CASE )

			assert all(root.find(SCREAMING_SNAKE_CASE ) for word in words )
			assert not root.find('bandanas' )
			assert not root.find('apps' )
			root.delete('all' )
			assert not root.find('all' )
			root.delete('banana' )
			assert not root.find('banana' )
			assert root.find('bananas' )

			return True

def lowercase    (  )			->							None:


			'''simple docstring'''







			assert test_trie()

def lowercase    (  )			->							None:


			'''simple docstring'''







			SCREAMING_SNAKE_CASE_								=						RadixNode()
			SCREAMING_SNAKE_CASE_								=						'banana bananas bandanas bandana band apple all beast'.split()
			root.insert_many(SCREAMING_SNAKE_CASE )

			print('Words:'       ,    SCREAMING_SNAKE_CASE )
			print('Tree:' )
			root.print_tree()


if __name__ == "__main__":
				main()
