



"""simple docstring"""





class    _lowerCAmelCase    :





		"""simple docstring"""






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







								'''simple docstring'''

								snake_case_   : dict[str, RadixNode]						=			{}

								# A node will be a leaf if the tree contains its word
								snake_case_   : int						=			is_leaf

								snake_case_   : Union[str, Any]						=			prefix





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						tuple[str, str, str]:







								'''simple docstring'''

								snake_case_   : Optional[int]						=			0
								for q, w in zip(self.prefix							,    _lowercase   ):
														if q != w:
																				break

														x += 1

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





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						None:







								'''simple docstring'''

								for word in words:
														self.insert(_lowercase   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						None:







								'''simple docstring'''

								if self.prefix == word:
														snake_case_   : Dict						=			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:
														snake_case_   : Optional[int]						=			RadixNode(prefix=_lowercase							,    is_leaf=_lowercase   )

								else:
														snake_case_   : List[Any]						=			self.nodes[word[0]]
														snake_case_			,		snake_case_			,		snake_case_   : Any						=			incoming_node.match(
														    _lowercase   )

														# 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(_lowercase   )

														# 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:
																				snake_case_   : Any						=			remaining_prefix

																				snake_case_   : int						=			self.nodes[matching_string[0]]
																				snake_case_   : int						=			RadixNode(_lowercase							,    _lowercase   )
																				snake_case_   : List[Any]						=			aux_node

																				if remaining_word == "":
																										snake_case_   : Optional[Any]						=			True
																				else:
																										self.nodes[matching_string[0]].insert(_lowercase   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						bool:







								'''simple docstring'''

								snake_case_   : List[str]						=			self.nodes.get(word[0]							,    _lowercase   )
								if not incoming_node:
														return False
								else:
														snake_case_			,		snake_case_			,		snake_case_   : Optional[int]						=			incoming_node.match(
														    _lowercase   )
														# 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(_lowercase   )





		def    UpperCAmelCase__							(					self							,    _lowercase   ) ->						bool:







								'''simple docstring'''

								snake_case_   : List[str]						=			self.nodes.get(word[0]							,    _lowercase   )
								if not incoming_node:
														return False
								else:
														snake_case_			,		snake_case_			,		snake_case_   : Optional[int]						=			incoming_node.match(
														    _lowercase   )
														# 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(_lowercase   )
														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:
																																						snake_case_   : List[str]						=			list(self.nodes.values()   )[0]
																																						snake_case_   : Dict						=			merging_node.is_leaf
																																						self.prefix += merging_node.prefix
																																						snake_case_   : List[Any]						=			merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																										elif len(incoming_node.nodes   ) > 1:
																																snake_case_   : int						=			False
																										# If there is 1 edge, we merge it with its child
																										else:
																																snake_case_   : Tuple						=			list(incoming_node.nodes.values()   )[0]
																																snake_case_   : Optional[int]						=			merging_node.is_leaf
																																incoming_node.prefix += merging_node.prefix
																																snake_case_   : Union[str, Any]						=			merging_node.nodes

																										return True





		def    UpperCAmelCase__							(					self							,    _lowercase = 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 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : int						=			"""banana bananas bandana band apple all beast""".split()
						snake_case_   : List[str]						=			RadixNode()
						root.insert_many(__UpperCamelCase    )

						assert all(root.find(__UpperCamelCase    ) 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 	__lowerCAmelCase						(		):


						'''simple docstring'''






						assert test_trie()
def 	__lowerCAmelCase						(		):


						'''simple docstring'''






						snake_case_   : Union[str, Any]						=			RadixNode()
						snake_case_   : Any						=			"""banana bananas bandanas bandana band apple all beast""".split()
						root.insert_many(__UpperCamelCase    )

						print("""Words:"""					, __UpperCamelCase    )
						print("""Tree:"""    )
						root.print_tree()


if __name__ == "__main__":
					main()






"""simple docstring"""





import unittest

from transformers import is_flax_available
from transformers.testing_utils import require_flax, require_sentencepiece, require_tokenizers, require_torch, slow


if is_flax_available():
					import optax
					from flax.training.common_utils import onehot

					from transformers import AutoTokenizer, FlaxMTaForConditionalGeneration
					from transformers.models.ta.modeling_flax_ta import shift_tokens_right



@require_torch
@require_sentencepiece
@require_tokenizers
@require_flax
class    _lowerCAmelCase    (				unittest.TestCase		):





		"""simple docstring"""






		@slow
		def    UpperCAmelCase__							(					self   ) ->						Optional[int]:







								'''simple docstring'''

								snake_case_   : int						=			FlaxMTaForConditionalGeneration.from_pretrained("""google/mt5-small"""   )
								snake_case_   : List[Any]						=			AutoTokenizer.from_pretrained("""google/mt5-small"""   )

								snake_case_   : Dict						=			tokenizer("""Hello there"""							,    return_tensors="""np"""   ).input_ids
								snake_case_   : List[str]						=			tokenizer("""Hi I am"""							,    return_tensors="""np"""   ).input_ids

								snake_case_   : Optional[Any]						=			shift_tokens_right(_lowercase							,    model.config.pad_token_id							,    model.config.decoder_start_token_id   )

								snake_case_   : Tuple						=			model(_lowercase							,    decoder_input_ids=_lowercase   ).logits
								snake_case_   : Tuple						=			optax.softmax_cross_entropy(_lowercase							,    onehot(_lowercase							,    logits.shape[-1]   )   ).mean()

								snake_case_   : List[str]						=			-(labels.shape[-1] * loss.item())

								snake_case_   : Optional[int]						=			-84.9127
								self.assertTrue(abs(mtf_score - EXPECTED_SCORE   ) < 1E-4   )

