'''simple docstring'''




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






class 		__A       (__magic_name__   ):






       def __init__(      self      ):
              # test for the above condition
              self.test()






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[Any]       				=		0
              __UpperCAmelCase  :				int       				=		False
              while not completed:
                     if counter == 1:
                            self.reset()
                     __UpperCAmelCase  :				Any       				=		self.advance()
                     if not self.does_advance(UpperCamelCase_      ):
                            raise Exception(
                                "Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true."      )

                     __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase  :				int       				=		self.update(UpperCamelCase_      )
                     counter += 1

                     if counter > 1_00_00:
                            raise Exception("update() does not fulfill the constraint."      )

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






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






       @abstractmethod
       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              raise NotImplementedError(
                  f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""      )






       @abstractmethod
       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              raise NotImplementedError(
                  f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""      )






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






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







       @abstractmethod
       def 			_snake_case						(      self				,     UpperCamelCase_=False      ):
              raise NotImplementedError(
                  f"""{self.__class__} is an abstract class. Only classes inheriting this class can be called."""      )






class 		__A       (__magic_name__   ):






       def __init__(      self				,     UpperCamelCase_      ):
              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}."""      )

              __UpperCAmelCase  :				Tuple       				=		token_ids

              __UpperCAmelCase  :				Any       				=		len(self.token_ids      )
              __UpperCAmelCase  :				Union[str, Any]       				=		-1  # the index of the currently fulfilled step
              __UpperCAmelCase  :				int       				=		False






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






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              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 			_snake_case						(      self				,     UpperCamelCase_      ):
              if not isinstance(UpperCamelCase_				,     UpperCamelCase_      ):
                     raise ValueError(f"""`token_id` has to be an `int`, but is {token_id} of type {type(UpperCamelCase_      )}"""      )

              __UpperCAmelCase  :				str       				=		False
              __UpperCAmelCase  :				str       				=		False
              __UpperCAmelCase  :				int       				=		False

              if self.does_advance(UpperCamelCase_      ):
                     self.fulfilled_idx += 1
                     __UpperCAmelCase  :				Optional[Any]       				=		True
                     if self.fulfilled_idx == (self.seqlen - 1):
                            __UpperCAmelCase  :				Optional[Any]       				=		True
                     __UpperCAmelCase  :				Optional[int]       				=		completed
              else:
                     # failed to make progress.
                     __UpperCAmelCase  :				Optional[int]       				=		True
                     self.reset()
              return stepped, completed, reset






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Dict       				=		False
              __UpperCAmelCase  :				Optional[Any]       				=		0






       def 			_snake_case						(      self      ):
              return self.seqlen - (self.fulfilled_idx + 1)







       def 			_snake_case						(      self				,     UpperCamelCase_=False      ):
              __UpperCAmelCase  :				Dict       				=		PhrasalConstraint(self.token_ids      )

              if stateful:
                     __UpperCAmelCase  :				List[Any]       				=		self.seqlen
                     __UpperCAmelCase  :				Dict       				=		self.fulfilled_idx
                     __UpperCAmelCase  :				List[Any]       				=		self.completed

              return new_constraint






class 		__A       :






       def __init__(      self				,     UpperCamelCase_				,     UpperCamelCase_=True      ):
              __UpperCAmelCase  :				Union[str, Any]       				=		max([len(UpperCamelCase_      ) for one in nested_token_ids]      )

              __UpperCAmelCase  :				List[str]       				=		{}
              for token_ids in nested_token_ids:
                     __UpperCAmelCase  :				Dict       				=		root
                     for tidx, token_id in enumerate(UpperCamelCase_      ):
                            if token_id not in level:
                                   __UpperCAmelCase  :				Any       				=		{}

                            __UpperCAmelCase  :				Tuple       				=		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}."""      )

              __UpperCAmelCase  :				Union[str, Any]       				=		root






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				Tuple       				=		self.trie

              for current_token in current_seq:
                     __UpperCAmelCase  :				Dict       				=		start[current_token]

              __UpperCAmelCase  :				str       				=		list(start.keys()      )

              return next_tokens






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				Any       				=		self.next_tokens(UpperCamelCase_      )

              return len(UpperCamelCase_      ) == 0






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				int       				=		list(root.values()      )
              if len(UpperCamelCase_      ) == 0:
                     return 1
              else:
                     return sum([self.count_leaves(UpperCamelCase_      ) for nn in next_nodes]      )







       def 			_snake_case						(      self				,     UpperCamelCase_				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				Optional[int]       				=		self.count_leaves(UpperCamelCase_      )
              return len(UpperCamelCase_      ) != leaf_count






class 		__A       (__magic_name__   ):






       def __init__(      self				,     UpperCamelCase_      ):
              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}."""      )

              __UpperCAmelCase  :				Any       				=		DisjunctiveTrie(UpperCamelCase_      )
              __UpperCAmelCase  :				str       				=		nested_token_ids

              __UpperCAmelCase  :				int       				=		self.trie.max_height
              __UpperCAmelCase  :				Dict       				=		[]
              __UpperCAmelCase  :				List[Any]       				=		False






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				List[str]       				=		self.trie.next_tokens(self.current_seq      )

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






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              if not isinstance(UpperCamelCase_				,     UpperCamelCase_      ):
                     raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(UpperCamelCase_      )}"""      )

              __UpperCAmelCase  :				List[Any]       				=		self.trie.next_tokens(self.current_seq      )

              return token_id in next_tokens






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              if not isinstance(UpperCamelCase_				,     UpperCamelCase_      ):
                     raise ValueError(f"""`token_id` is supposed to be type `int`, but is {token_id} of type {type(UpperCamelCase_      )}"""      )

              __UpperCAmelCase  :				Tuple       				=		False
              __UpperCAmelCase  :				Union[str, Any]       				=		False
              __UpperCAmelCase  :				List[Any]       				=		False

              if self.does_advance(UpperCamelCase_      ):
                     self.current_seq.append(UpperCamelCase_      )
                     __UpperCAmelCase  :				int       				=		True
              else:
                     __UpperCAmelCase  :				Union[str, Any]       				=		True
                     self.reset()

              __UpperCAmelCase  :				Union[str, Any]       				=		self.trie.reached_leaf(self.current_seq      )
              __UpperCAmelCase  :				Any       				=		completed

              return stepped, completed, reset






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				int       				=		False
              __UpperCAmelCase  :				List[Any]       				=		[]






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







       def 			_snake_case						(      self				,     UpperCamelCase_=False      ):
              __UpperCAmelCase  :				Dict       				=		DisjunctiveConstraint(self.token_ids      )

              if stateful:
                     __UpperCAmelCase  :				Union[str, Any]       				=		self.seqlen
                     __UpperCAmelCase  :				List[Any]       				=		self.current_seq
                     __UpperCAmelCase  :				List[Any]       				=		self.completed

              return new_constraint






class 		__A       :






       def __init__(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				Optional[Any]       				=		constraints

              # max # of steps required to fulfill a given constraint
              __UpperCAmelCase  :				Optional[int]       				=		max([c.seqlen for c in constraints]      )
              __UpperCAmelCase  :				List[str]       				=		len(UpperCamelCase_      )
              __UpperCAmelCase  :				Dict       				=		False

              self.init_state()






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[Any]       				=		[]
              __UpperCAmelCase  :				int       				=		None
              __UpperCAmelCase  :				List[str]       				=		[constraint.copy(stateful=UpperCamelCase_      ) for constraint in self.constraints]






       def 			_snake_case						(      self      ):
              __UpperCAmelCase  :				Optional[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 			_snake_case						(      self      ):
              __UpperCAmelCase  :				str       				=		[]
              if self.inprogress_constraint is None:
                     for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
                            __UpperCAmelCase  :				Union[str, Any]       				=		constraint.advance()
                            if isinstance(UpperCamelCase_				,     UpperCamelCase_      ):
                                   token_list.append(UpperCamelCase_      )
                            elif isinstance(UpperCamelCase_				,     UpperCamelCase_      ):
                                   token_list.extend(UpperCamelCase_      )
              else:
                     __UpperCAmelCase  :				Dict       				=		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 			_snake_case						(      self				,     UpperCamelCase_      ):
              self.init_state()

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

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






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              if not isinstance(UpperCamelCase_				,     UpperCamelCase_      ):
                     raise ValueError(f"""`token_id` should be an `int`, but is `{token_id}`."""      )

              __UpperCAmelCase				, __UpperCAmelCase  :				int       				=		False, False

              if self.completed:
                     __UpperCAmelCase  :				Tuple       				=		True
                     __UpperCAmelCase  :				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

                     __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase  :				Union[str, Any]       				=		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_      )      )
                            __UpperCAmelCase  :				Tuple       				=		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      )
                            __UpperCAmelCase  :				List[Any]       				=		None

                            if len(self.pending_constraints      ) == 0:
                                   # we're done!
                                   __UpperCAmelCase  :				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(UpperCamelCase_      ):
                                   __UpperCAmelCase				, __UpperCAmelCase				, __UpperCAmelCase  :				Tuple       				=		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_      )
                                          __UpperCAmelCase  :				int       				=		None

                                   if not complete and stepped:
                                          __UpperCAmelCase  :				Any       				=		pending_constraint

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

                                          __UpperCAmelCase  :				Dict       				=		(
                                              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.

                                                 __UpperCAmelCase  :				str       				=		True

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

              return complete, stepped







       def 			_snake_case						(      self				,     UpperCamelCase_=True      ):
              __UpperCAmelCase  :				List[Any]       				=		ConstraintListState(self.constraints      )  # we actually never though self.constraints objects
              # throughout this process. So it's at initialization state.

              if stateful:
                     __UpperCAmelCase  :				List[Any]       				=		[
                         constraint.copy(stateful=UpperCamelCase_      ) for constraint in self.complete_constraints
                     ]
                     if self.inprogress_constraint is not None:
                            __UpperCAmelCase  :				List[str]       				=		self.inprogress_constraint.copy(stateful=UpperCamelCase_      )
                     __UpperCAmelCase  :				Dict       				=		[constraint.copy() for constraint in self.pending_constraints]

              return new_state







'''simple docstring'''




from typing import TYPE_CHECKING

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


_a   :	Dict 							=   {"configuration_reformer": ["REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP", "ReformerConfig"]}

try:
   if not is_sentencepiece_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _a   :	Dict 							=   ["ReformerTokenizer"]

try:
   if not is_tokenizers_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _a   :	List[Any] 							=   ["ReformerTokenizerFast"]

try:
   if not is_torch_available():
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   pass
else:
   _a   :	int 							=   [
       "REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST",
       "ReformerAttention",
       "ReformerForMaskedLM",
       "ReformerForQuestionAnswering",
       "ReformerForSequenceClassification",
       "ReformerLayer",
       "ReformerModel",
       "ReformerModelWithLMHead",
       "ReformerPreTrainedModel",
   ]


if TYPE_CHECKING:
   from .configuration_reformer import REFORMER_PRETRAINED_CONFIG_ARCHIVE_MAP, ReformerConfig

   try:
      if not is_sentencepiece_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_reformer import ReformerTokenizer

   try:
      if not is_tokenizers_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .tokenization_reformer_fast import ReformerTokenizerFast

   try:
      if not is_torch_available():
         raise OptionalDependencyNotAvailable()
   except OptionalDependencyNotAvailable:
      pass
   else:
      from .modeling_reformer import (
          REFORMER_PRETRAINED_MODEL_ARCHIVE_LIST,
          ReformerAttention,
          ReformerForMaskedLM,
          ReformerForQuestionAnswering,
          ReformerForSequenceClassification,
          ReformerLayer,
          ReformerModel,
          ReformerModelWithLMHead,
          ReformerPreTrainedModel,
      )

else:
   import sys

   _a   :	Optional[int] 							=   _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)






