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





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				def __init__(						self ):



						"""simple docstring"""





						self.test()
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Any         =				0
						A_		:    Dict         =				False
						while not completed:
								if counter == 1:
										self.reset()
								A_		:    List[str]         =				self.advance()
								if not self.does_advance(lowercase ):
										raise Exception(
										    'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.' )

								A_       ,      A_       ,      A_		:    Optional[Any]         =				self.update(lowercase )
								counter += 1

								if counter > 1_0_0_0_0:
										raise Exception('update() does not fulfill the constraint.' )

						if self.remaining() != 0:
								raise Exception('Custom Constraint is not defined correctly.' )
				@abstractmethod
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )
				@abstractmethod
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )
				@abstractmethod
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





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



						"""simple docstring"""





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



						"""simple docstring"""





						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )







				@abstractmethod
				def   lowerCAmelCase_       (						self		,     lowercase=False ):



						"""simple docstring"""





						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				def __init__(						self		,     lowercase ):



						"""simple docstring"""





						super(lowercase		,     self ).__init__()

						if not isinstance(lowercase		,     lowercase ) or len(lowercase ) == 0:
								raise ValueError(F'''`token_ids` has to be a non-empty list, but is {token_ids}.''' )
						if any((not isinstance(lowercase		,     lowercase ) 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}.''' )

						A_		:    Optional[int]         =				token_ids

						A_		:    List[Any]         =				len(self.token_ids )
						A_		:    int         =				-1  # the index of the currently fulfilled step
						A_		:    Optional[int]         =				False
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						if self.completed:
								return None
						return self.token_ids[self.fulfilled_idx + 1]
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						if not isinstance(lowercase		,     lowercase ):
								raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(lowercase )}''' )

						if self.completed:
								return False

						return token_id == self.token_ids[self.fulfilled_idx + 1]
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						if not isinstance(lowercase		,     lowercase ):
								raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(lowercase )}''' )

						A_		:    Optional[int]         =				False
						A_		:    int         =				False
						A_		:    Optional[int]         =				False

						if self.does_advance(lowercase ):
								self.fulfilled_idx += 1
								A_		:    List[str]         =				True
								if self.fulfilled_idx == (self.seqlen - 1):
										A_		:    List[Any]         =				True
								A_		:    Any         =				completed
						else:
								# failed to make progress.
								A_		:    int         =				True
								self.reset()
						return stepped, completed, reset
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    str         =				False
						A_		:    int         =				0
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						return self.seqlen - (self.fulfilled_idx + 1)







				def   lowerCAmelCase_       (						self		,     lowercase=False ):



						"""simple docstring"""





						A_		:    str         =				PhrasalConstraint(self.token_ids )

						if stateful:
								A_		:    str         =				self.seqlen
								A_		:    str         =				self.fulfilled_idx
								A_		:    int         =				self.completed

						return new_constraint





class UpperCAmelCase						:


				'''simple docstring'''






				def __init__(						self		,     lowercase		,     lowercase=True ):



						"""simple docstring"""





						A_		:    Tuple         =				max([len(lowercase ) for one in nested_token_ids] )

						A_		:    Optional[int]         =				{}
						for token_ids in nested_token_ids:
								A_		:    Union[str, Any]         =				root
								for tidx, token_id in enumerate(lowercase ):
										if token_id not in level:
												A_		:    Any         =				{}

										A_		:    Tuple         =				level[token_id]

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

						A_		:    int         =				root
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						A_		:    str         =				self.trie

						for current_token in current_seq:
								A_		:    List[str]         =				start[current_token]

						A_		:    List[Any]         =				list(start.keys() )

						return next_tokens
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						A_		:    List[str]         =				self.next_tokens(lowercase )

						return len(lowercase ) == 0
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						A_		:    List[str]         =				list(root.values() )
						if len(lowercase ) == 0:
								return 1
						else:
								return sum([self.count_leaves(lowercase ) for nn in next_nodes] )







				def   lowerCAmelCase_       (						self		,     lowercase		,     lowercase ):



						"""simple docstring"""





						A_		:    List[str]         =				self.count_leaves(lowercase )
						return len(lowercase ) != leaf_count





class UpperCAmelCase						( __A  ):


				'''simple docstring'''






				def __init__(						self		,     lowercase ):



						"""simple docstring"""





						super(lowercase		,     self ).__init__()

						if not isinstance(lowercase		,     lowercase ) or len(lowercase ) == 0:
								raise ValueError(F'''`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.''' )
						if any(not isinstance(lowercase		,     lowercase ) 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(lowercase		,     lowercase ) 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}.''' )

						A_		:    Optional[int]         =				DisjunctiveTrie(lowercase )
						A_		:    str         =				nested_token_ids

						A_		:    Dict         =				self.trie.max_height
						A_		:    Optional[Any]         =				[]
						A_		:    List[str]         =				False
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Dict         =				self.trie.next_tokens(self.current_seq )

						if len(lowercase ) == 0:
								return None
						else:
								return token_list
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						if not isinstance(lowercase		,     lowercase ):
								raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowercase )}''' )

						A_		:    Tuple         =				self.trie.next_tokens(self.current_seq )

						return token_id in next_tokens
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						if not isinstance(lowercase		,     lowercase ):
								raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(lowercase )}''' )

						A_		:    str         =				False
						A_		:    int         =				False
						A_		:    Dict         =				False

						if self.does_advance(lowercase ):
								self.current_seq.append(lowercase )
								A_		:    List[Any]         =				True
						else:
								A_		:    List[str]         =				True
								self.reset()

						A_		:    List[str]         =				self.trie.reached_leaf(self.current_seq )
						A_		:    Optional[Any]         =				completed

						return stepped, completed, reset
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    Union[str, Any]         =				False
						A_		:    Dict         =				[]
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





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







				def   lowerCAmelCase_       (						self		,     lowercase=False ):



						"""simple docstring"""





						A_		:    int         =				DisjunctiveConstraint(self.token_ids )

						if stateful:
								A_		:    str         =				self.seqlen
								A_		:    Union[str, Any]         =				self.current_seq
								A_		:    Optional[Any]         =				self.completed

						return new_constraint





class UpperCAmelCase						:


				'''simple docstring'''






				def __init__(						self		,     lowercase ):



						"""simple docstring"""





						A_		:    str         =				constraints

						# max # of steps required to fulfill a given constraint
						A_		:    int         =				max([c.seqlen for c in constraints] )
						A_		:    str         =				len(lowercase )
						A_		:    Optional[Any]         =				False

						self.init_state()
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    int         =				[]
						A_		:    str         =				None
						A_		:    Optional[Any]         =				[constraint.copy(stateful=lowercase ) for constraint in self.constraints]
				def   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[Any]         =				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   lowerCAmelCase_       (						self ):



						"""simple docstring"""





						A_		:    List[Any]         =				[]
						if self.inprogress_constraint is None:
								for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
										A_		:    Union[str, Any]         =				constraint.advance()
										if isinstance(lowercase		,     lowercase ):
												token_list.append(lowercase )
										elif isinstance(lowercase		,     lowercase ):
												token_list.extend(lowercase )
						else:
								A_		:    Optional[int]         =				self.inprogress_constraint.advance()
								if isinstance(lowercase		,     lowercase ):
										token_list.append(lowercase )
								elif isinstance(lowercase		,     lowercase ):
										token_list.extend(lowercase )

						if len(lowercase ) == 0:
								return None
						else:
								return token_list
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						self.init_state()

						if token_ids is not None:
								for token in token_ids:
										# completes or steps **one** constraint
										A_       ,      A_		:    List[Any]         =				self.add(lowercase )

										# the entire list of constraints are fulfilled
										if self.completed:
												break
				def   lowerCAmelCase_       (						self		,     lowercase ):



						"""simple docstring"""





						if not isinstance(lowercase		,     lowercase ):
								raise ValueError(F'''`token_id` should be an `int`, but is `{token_id}`.''' )

						A_       ,      A_		:    Dict         =				False, False

						if self.completed:
								A_		:    int         =				True
								A_		:    Any         =				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

								A_       ,      A_       ,      A_		:    Any         =				self.inprogress_constraint.update(lowercase )
								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=lowercase ) )
										A_		:    Dict         =				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 )
										A_		:    Optional[Any]         =				None

										if len(self.pending_constraints ) == 0:
												# we're done!
												A_		:    List[Any]         =				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(lowercase ):
												A_       ,      A_       ,      A_		:    Optional[int]         =				pending_constraint.update(lowercase )

												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(lowercase )
														A_		:    str         =				None

												if not complete and stepped:
														A_		:    List[Any]         =				pending_constraint

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

														A_		:    int         =				(
														    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.

																A_		:    str         =				True

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

						return complete, stepped







				def   lowerCAmelCase_       (						self		,     lowercase=True ):



						"""simple docstring"""





						A_		:    Union[str, Any]         =				ConstraintListState(self.constraints )  # we actually never though self.constraints objects
						# throughout this process. So it's at initialization state.

						if stateful:
								A_		:    List[str]         =				[
								    constraint.copy(stateful=lowercase ) for constraint in self.complete_constraints
								]
								if self.inprogress_constraint is not None:
										A_		:    Union[str, Any]         =				self.inprogress_constraint.copy(stateful=lowercase )
								A_		:    Optional[int]         =				[constraint.copy() for constraint in self.pending_constraints]

						return new_state







from typing import TYPE_CHECKING

# rely on isort to merge the imports
from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_UpperCAmelCase            =		{
    """configuration_autoformer""": [
        """AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """AutoformerConfig""",
    ],
}

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	_UpperCAmelCase            =		[
	    """AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """AutoformerForPrediction""",
	    """AutoformerModel""",
	    """AutoformerPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_autoformer import (
	    AUTOFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP,
	    AutoformerConfig,
	)

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_autoformer import (
		    AUTOFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
		    AutoformerForPrediction,
		    AutoformerModel,
		    AutoformerPreTrainedModel,
		)

else:
	import sys

	_UpperCAmelCase            =		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)






