



'''simple docstring'''



from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_sentencepiece_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowerCAmelCase	:		Dict				=   {'''configuration_mbart''': ['''MBART_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''MBartConfig''', '''MBartOnnxConfig''']}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		Tuple				=   ['''MBartTokenizer''']

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		Union[str, Any]				=   ['''MBartTokenizerFast''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		Dict				=   [
	    '''MBART_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''MBartForCausalLM''',
	    '''MBartForConditionalGeneration''',
	    '''MBartForQuestionAnswering''',
	    '''MBartForSequenceClassification''',
	    '''MBartModel''',
	    '''MBartPreTrainedModel''',
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		int				=   [
	    '''TFMBartForConditionalGeneration''',
	    '''TFMBartModel''',
	    '''TFMBartPreTrainedModel''',
	]

try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase	:		Optional[int]				=   [
	    '''FlaxMBartForConditionalGeneration''',
	    '''FlaxMBartForQuestionAnswering''',
	    '''FlaxMBartForSequenceClassification''',
	    '''FlaxMBartModel''',
	    '''FlaxMBartPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_mbart import MBART_PRETRAINED_CONFIG_ARCHIVE_MAP, MBartConfig, MBartOnnxConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_mbart import MBartTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_mbart_fast import MBartTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_mbart import (
		    MBART_PRETRAINED_MODEL_ARCHIVE_LIST,
		    MBartForCausalLM,
		    MBartForConditionalGeneration,
		    MBartForQuestionAnswering,
		    MBartForSequenceClassification,
		    MBartModel,
		    MBartPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_mbart import TFMBartForConditionalGeneration, TFMBartModel, TFMBartPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_mbart import (
		    FlaxMBartForConditionalGeneration,
		    FlaxMBartForQuestionAnswering,
		    FlaxMBartForSequenceClassification,
		    FlaxMBartModel,
		    FlaxMBartPreTrainedModel,
		)

else:
	import sys

	lowerCAmelCase	:		Dict				=   _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)




'''simple docstring'''



from abc import ABC, abstractmethod
from typing import List, Optional






class 					UpperCAmelCase__	(		UpperCamelCase__ ):



					def __init__(    self     )     ->			List[str]:
						# test for the above condition
						self.test()



					def        UpperCAmelCase_ (    self     )     ->			Dict:
						__lowerCAmelCase												=  0
						__lowerCAmelCase												=  False
						while not completed:
							if counter == 1:
								self.reset()
							__lowerCAmelCase												=  self.advance()
							if not self.does_advance(UpperCamelCase     ):
								raise Exception(
								    "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."     )

							__lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase												=  self.update(UpperCamelCase     )
							counter += 1

							if counter > 1_0000:
								raise Exception("update() does not fulfill the constraint."     )

						if self.remaining() != 0:
							raise Exception("Custom Constraint is not defined correctly."     )



					@abstractmethod
					def        UpperCAmelCase_ (    self     )     ->			Dict:
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )



					@abstractmethod
					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Optional[int]:
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )



					@abstractmethod
					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Any:
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )



					@abstractmethod
					def        UpperCAmelCase_ (    self     )     ->			int:
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )



					@abstractmethod
					def        UpperCAmelCase_ (    self     )     ->			int:
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )



					@abstractmethod
					def        UpperCAmelCase_ (    self			,				UpperCamelCase=False     )     ->			str:
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''     )






class 					UpperCAmelCase__	(		UpperCamelCase__ ):



					def __init__(    self			,				UpperCamelCase     )     ->			Dict:
						super(UpperCamelCase			,				self     ).__init__()

						if not isinstance(UpperCamelCase			,				UpperCamelCase     ) or len(UpperCamelCase     ) == 0:
							raise ValueError(F'''`token_ids` has to be a non-empty list, but is {token_ids}.'''     )
						if any((not isinstance(UpperCamelCase			,				UpperCamelCase     ) or token_id < 0) for token_id in token_ids     ):
							raise ValueError(F'''Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.'''     )

						__lowerCAmelCase												=  token_ids

						__lowerCAmelCase												=  len(self.token_ids     )
						__lowerCAmelCase												=  -1  # the index of the currently fulfilled step
						__lowerCAmelCase												=  False



					def        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						if self.completed:
							return None
						return self.token_ids[self.fulfilled_idx + 1]



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			str:
						if not isinstance(UpperCamelCase			,				UpperCamelCase     ):
							raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(UpperCamelCase     )}'''     )

						if self.completed:
							return False

						return token_id == self.token_ids[self.fulfilled_idx + 1]



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			int:
						if not isinstance(UpperCamelCase			,				UpperCamelCase     ):
							raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(UpperCamelCase     )}'''     )

						__lowerCAmelCase												=  False
						__lowerCAmelCase												=  False
						__lowerCAmelCase												=  False

						if self.does_advance(UpperCamelCase     ):
							self.fulfilled_idx += 1
							__lowerCAmelCase												=  True
							if self.fulfilled_idx == (self.seqlen - 1):
								__lowerCAmelCase												=  True
							__lowerCAmelCase												=  completed
						else:
							# failed to make progress.
							__lowerCAmelCase												=  True
							self.reset()
						return stepped, completed, reset



					def        UpperCAmelCase_ (    self     )     ->			Union[str, Any]:
						__lowerCAmelCase												=  False
						__lowerCAmelCase												=  0



					def        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						return self.seqlen - (self.fulfilled_idx + 1)



					def        UpperCAmelCase_ (    self			,				UpperCamelCase=False     )     ->			Optional[Any]:
						__lowerCAmelCase												=  PhrasalConstraint(self.token_ids     )

						if stateful:
							__lowerCAmelCase												=  self.seqlen
							__lowerCAmelCase												=  self.fulfilled_idx
							__lowerCAmelCase												=  self.completed

						return new_constraint






class 					UpperCAmelCase__	:



					def __init__(    self			,				UpperCamelCase			,				UpperCamelCase=True     )     ->			Optional[int]:
						__lowerCAmelCase												=  max([len(UpperCamelCase     ) for one in nested_token_ids]     )

						__lowerCAmelCase												=  {}
						for token_ids in nested_token_ids:
							__lowerCAmelCase												=  root
							for tidx, token_id in enumerate(UpperCamelCase     ):
								if token_id not in level:
									__lowerCAmelCase												=  {}

								__lowerCAmelCase												=  level[token_id]

						if no_subsets and self.has_subsets(UpperCamelCase			,				UpperCamelCase     ):
							raise ValueError(
							    "Each list in `nested_token_ids` can't be a complete subset of another list, but is"
							    F''' {nested_token_ids}.'''     )

						__lowerCAmelCase												=  root



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			int:
						__lowerCAmelCase												=  self.trie

						for current_token in current_seq:
							__lowerCAmelCase												=  start[current_token]

						__lowerCAmelCase												=  list(start.keys()     )

						return next_tokens



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			str:
						__lowerCAmelCase												=  self.next_tokens(UpperCamelCase     )

						return len(UpperCamelCase     ) == 0



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Optional[int]:
						__lowerCAmelCase												=  list(root.values()     )
						if len(UpperCamelCase     ) == 0:
							return 1
						else:
							return sum([self.count_leaves(UpperCamelCase     ) for nn in next_nodes]     )



					def        UpperCAmelCase_ (    self			,				UpperCamelCase			,				UpperCamelCase     )     ->			Optional[Any]:
						__lowerCAmelCase												=  self.count_leaves(UpperCamelCase     )
						return len(UpperCamelCase     ) != leaf_count






class 					UpperCAmelCase__	(		UpperCamelCase__ ):



					def __init__(    self			,				UpperCamelCase     )     ->			List[Any]:
						super(UpperCamelCase			,				self     ).__init__()

						if not isinstance(UpperCamelCase			,				UpperCamelCase     ) or len(UpperCamelCase     ) == 0:
							raise ValueError(F'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.'''     )
						if any(not isinstance(UpperCamelCase			,				UpperCamelCase     ) for token_ids in nested_token_ids     ):
							raise ValueError(F'''`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.'''     )
						if any(
						    any((not isinstance(UpperCamelCase			,				UpperCamelCase     ) or token_id < 0) for token_id in token_ids     )
						    for token_ids in nested_token_ids     ):
							raise ValueError(
							    F'''Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.'''     )

						__lowerCAmelCase												=  DisjunctiveTrie(UpperCamelCase     )
						__lowerCAmelCase												=  nested_token_ids

						__lowerCAmelCase												=  self.trie.max_height
						__lowerCAmelCase												=  []
						__lowerCAmelCase												=  False



					def        UpperCAmelCase_ (    self     )     ->			List[Any]:
						__lowerCAmelCase												=  self.trie.next_tokens(self.current_seq     )

						if len(UpperCamelCase     ) == 0:
							return None
						else:
							return token_list



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			List[str]:
						if not isinstance(UpperCamelCase			,				UpperCamelCase     ):
							raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(UpperCamelCase     )}'''     )

						__lowerCAmelCase												=  self.trie.next_tokens(self.current_seq     )

						return token_id in next_tokens



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			int:
						if not isinstance(UpperCamelCase			,				UpperCamelCase     ):
							raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(UpperCamelCase     )}'''     )

						__lowerCAmelCase												=  False
						__lowerCAmelCase												=  False
						__lowerCAmelCase												=  False

						if self.does_advance(UpperCamelCase     ):
							self.current_seq.append(UpperCamelCase     )
							__lowerCAmelCase												=  True
						else:
							__lowerCAmelCase												=  True
							self.reset()

						__lowerCAmelCase												=  self.trie.reached_leaf(self.current_seq     )
						__lowerCAmelCase												=  completed

						return stepped, completed, reset



					def        UpperCAmelCase_ (    self     )     ->			Dict:
						__lowerCAmelCase												=  False
						__lowerCAmelCase												=  []



					def        UpperCAmelCase_ (    self     )     ->			int:
						if self.completed:
							# since this can be completed without reaching max height
							return 0
						else:
							return self.seqlen - len(self.current_seq     )



					def        UpperCAmelCase_ (    self			,				UpperCamelCase=False     )     ->			Union[str, Any]:
						__lowerCAmelCase												=  DisjunctiveConstraint(self.token_ids     )

						if stateful:
							__lowerCAmelCase												=  self.seqlen
							__lowerCAmelCase												=  self.current_seq
							__lowerCAmelCase												=  self.completed

						return new_constraint






class 					UpperCAmelCase__	:



					def __init__(    self			,				UpperCamelCase     )     ->			Union[str, Any]:
						__lowerCAmelCase												=  constraints

						# max # of steps required to fulfill a given constraint
						__lowerCAmelCase												=  max([c.seqlen for c in constraints]     )
						__lowerCAmelCase												=  len(UpperCamelCase     )
						__lowerCAmelCase												=  False

						self.init_state()



					def        UpperCAmelCase_ (    self     )     ->			Union[str, Any]:
						__lowerCAmelCase												=  []
						__lowerCAmelCase												=  None
						__lowerCAmelCase												=  [constraint.copy(stateful=UpperCamelCase     ) for constraint in self.constraints]



					def        UpperCAmelCase_ (    self     )     ->			Optional[int]:
						__lowerCAmelCase												=  0
						if self.inprogress_constraint:
							# extra points for having a constraint mid-fulfilled
							add += self.max_seqlen - self.inprogress_constraint.remaining()

						return (len(self.complete_constraints     ) * self.max_seqlen) + add



					def        UpperCAmelCase_ (    self     )     ->			List[str]:
						__lowerCAmelCase												=  []
						if self.inprogress_constraint is None:
							for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
								__lowerCAmelCase												=  constraint.advance()
								if isinstance(UpperCamelCase			,				UpperCamelCase     ):
									token_list.append(UpperCamelCase     )
								elif isinstance(UpperCamelCase			,				UpperCamelCase     ):
									token_list.extend(UpperCamelCase     )
						else:
							__lowerCAmelCase												=  self.inprogress_constraint.advance()
							if isinstance(UpperCamelCase			,				UpperCamelCase     ):
								token_list.append(UpperCamelCase     )
							elif isinstance(UpperCamelCase			,				UpperCamelCase     ):
								token_list.extend(UpperCamelCase     )

						if len(UpperCamelCase     ) == 0:
							return None
						else:
							return token_list



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			int:
						self.init_state()

						if token_ids is not None:
							for token in token_ids:
								# completes or steps **one** constraint
								__lowerCAmelCase							,       __lowerCAmelCase												=  self.add(UpperCamelCase     )

								# the entire list of constraints are fulfilled
								if self.completed:
									break



					def        UpperCAmelCase_ (    self			,				UpperCamelCase     )     ->			Dict:
						if not isinstance(UpperCamelCase			,				UpperCamelCase     ):
							raise ValueError(F'''`token_id` should be an `int`, but is `{token_id}`.'''     )

						__lowerCAmelCase							,       __lowerCAmelCase												=  False, False

						if self.completed:
							__lowerCAmelCase												=  True
							__lowerCAmelCase												=  False
							return complete, stepped

						if self.inprogress_constraint is not None:
							# In the middle of fulfilling a constraint. If the `token_id` *does* makes an incremental progress to current
							# job, simply update the state

							__lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase												=  self.inprogress_constraint.update(UpperCamelCase     )
							if reset:
								# 1. If the next token breaks the progress, then we must restart.
								#     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

								#     But that doesn't mean we self.init_state(), since we only reset the state for this particular
								#     constraint, not the full list of constraints.

								self.pending_constraints.append(self.inprogress_constraint.copy(stateful=UpperCamelCase     )     )
								__lowerCAmelCase												=  None

							if complete:
								# 2. If the next token completes the constraint, move it to completed list, set
								#     inprogress to None. If there are no pending constraints either, then this full list of constraints
								#     is complete.

								self.complete_constraints.append(self.inprogress_constraint     )
								__lowerCAmelCase												=  None

								if len(self.pending_constraints     ) == 0:
									# we're done!
									__lowerCAmelCase												=  True

						else:
							# Not in the middle of fulfilling a constraint. So does this `token_id` helps us step towards any of our list
							# of constraints?

							for cidx, pending_constraint in enumerate(self.pending_constraints     ):
								if pending_constraint.does_advance(UpperCamelCase     ):
									__lowerCAmelCase							,       __lowerCAmelCase							,       __lowerCAmelCase												=  pending_constraint.update(UpperCamelCase     )

									if not stepped:
										raise Exception(
										    "`constraint.update(token_id)` is not yielding incremental progress, "
										    "even though `constraint.does_advance(token_id)` is true."     )

									if complete:
										self.complete_constraints.append(UpperCamelCase     )
										__lowerCAmelCase												=  None

									if not complete and stepped:
										__lowerCAmelCase												=  pending_constraint

									if complete or stepped:
										# If we made any progress at all, then it's at least not a "pending constraint".

										__lowerCAmelCase												=  (
										    self.pending_constraints[:cidx] + self.pending_constraints[cidx + 1 :]
										)

										if len(self.pending_constraints     ) == 0 and self.inprogress_constraint is None:
											# If there's no longer any pending after this and no inprogress either, then we must be
											# complete.

											__lowerCAmelCase												=  True

										break  # prevent accidentally stepping through multiple constraints with just one token.

						return complete, stepped



					def        UpperCAmelCase_ (    self			,				UpperCamelCase=True     )     ->			str:
						__lowerCAmelCase												=  ConstraintListState(self.constraints     )  # we actually never though self.constraints objects
						# throughout this process. So it's at initialization state.

						if stateful:
							__lowerCAmelCase												=  [
							    constraint.copy(stateful=UpperCamelCase     ) for constraint in self.complete_constraints
							]
							if self.inprogress_constraint is not None:
								__lowerCAmelCase												=  self.inprogress_constraint.copy(stateful=UpperCamelCase     )
							__lowerCAmelCase												=  [constraint.copy() for constraint in self.pending_constraints]

						return new_state