
'''simple docstring'''


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


class     lowercase__						(	__a ):






   '''simple docstring'''







   def __init__(      self ):

      '''simple docstring'''







      self.test()







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







      UpperCamelCase	  =	0
      UpperCamelCase	  =	False
      while not completed:
         if counter == 1:
            self.reset()
         UpperCamelCase	  =	self.advance()
         if not self.does_advance(lowerCAmelCase__ ):
            raise Exception(
                '''Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.''' )

         UpperCamelCase  ,			UpperCamelCase  ,			UpperCamelCase	  =	self.update(lowerCAmelCase__ )
         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    UpperCAmelCase					(      self ):

      '''simple docstring'''







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







   @abstractmethod
   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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







   @abstractmethod
   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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







   @abstractmethod
   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







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







   @abstractmethod
   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







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







   @abstractmethod
   def    UpperCAmelCase					(      self			, lowerCamelCase__=False ):

      '''simple docstring'''







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




class     lowercase__						(	__a ):






   '''simple docstring'''







   def __init__(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      super(lowerCAmelCase__			, self ).__init__()

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

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







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







      if self.completed:
         return None
      return self.token_ids[self.fulfilled_idx + 1]







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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

      if self.completed:
         return False

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







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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

      UpperCamelCase	  =	False
      UpperCamelCase	  =	False
      UpperCamelCase	  =	False

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







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







      UpperCamelCase	  =	False
      UpperCamelCase	  =	0







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







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







   def    UpperCAmelCase					(      self			, lowerCamelCase__=False ):

      '''simple docstring'''







      UpperCamelCase	  =	PhrasalConstraint(self.token_ids )

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

      return new_constraint




class     lowercase__						:






   '''simple docstring'''







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

      '''simple docstring'''







      UpperCamelCase	  =	max([len(lowerCAmelCase__ ) for one in nested_token_ids] )

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

            UpperCamelCase	  =	level[token_id]

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

      UpperCamelCase	  =	root







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	self.trie

      for current_token in current_seq:
         UpperCamelCase	  =	start[current_token]

      UpperCamelCase	  =	list(start.keys() )

      return next_tokens







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	self.next_tokens(lowerCAmelCase__ )

      return len(lowerCAmelCase__ ) == 0







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	list(root.values() )
      if len(lowerCAmelCase__ ) == 0:
         return 1
      else:
         return sum([self.count_leaves(lowerCAmelCase__ ) for nn in next_nodes] )







   def    UpperCAmelCase					(      self			, lowerCamelCase__			, lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	self.count_leaves(lowerCAmelCase__ )
      return len(lowerCAmelCase__ ) != leaf_count




class     lowercase__						(	__a ):






   '''simple docstring'''







   def __init__(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      super(lowerCAmelCase__			, self ).__init__()

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

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







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







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

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







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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

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

      return token_id in next_tokens







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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

      UpperCamelCase	  =	False
      UpperCamelCase	  =	False
      UpperCamelCase	  =	False

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

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

      return stepped, completed, reset







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







      UpperCamelCase	  =	False
      UpperCamelCase	  =	[]







   def    UpperCAmelCase					(      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    UpperCAmelCase					(      self			, lowerCamelCase__=False ):

      '''simple docstring'''







      UpperCamelCase	  =	DisjunctiveConstraint(self.token_ids )

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

      return new_constraint




class     lowercase__						:






   '''simple docstring'''







   def __init__(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      UpperCamelCase	  =	constraints

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

      self.init_state()







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







      UpperCamelCase	  =	[]
      UpperCamelCase	  =	None
      UpperCamelCase	  =	[constraint.copy(stateful=lowerCAmelCase__ ) for constraint in self.constraints]







   def    UpperCAmelCase					(      self ):

      '''simple docstring'''







      UpperCamelCase	  =	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 ):

      '''simple docstring'''







      UpperCamelCase	  =	[]
      if self.inprogress_constraint is None:
         for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
            UpperCamelCase	  =	constraint.advance()
            if isinstance(lowerCAmelCase__			, lowerCAmelCase__ ):
               token_list.append(lowerCAmelCase__ )
            elif isinstance(lowerCAmelCase__			, lowerCAmelCase__ ):
               token_list.extend(lowerCAmelCase__ )
      else:
         UpperCamelCase	  =	self.inprogress_constraint.advance()
         if isinstance(lowerCAmelCase__			, lowerCAmelCase__ ):
            token_list.append(lowerCAmelCase__ )
         elif isinstance(lowerCAmelCase__			, lowerCAmelCase__ ):
            token_list.extend(lowerCAmelCase__ )

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







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







      self.init_state()

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

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







   def    UpperCAmelCase					(      self			, lowerCamelCase__ ):

      '''simple docstring'''







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

      UpperCamelCase  ,			UpperCamelCase	  =	False, False

      if self.completed:
         UpperCamelCase	  =	True
         UpperCamelCase	  =	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	  =	self.inprogress_constraint.update(lowerCAmelCase__ )
         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=lowerCAmelCase__ ) )
            UpperCamelCase	  =	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	  =	None

            if len(self.pending_constraints ) == 0:
               # we're done!
               UpperCamelCase	  =	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(lowerCAmelCase__ ):
               UpperCamelCase  ,			UpperCamelCase  ,			UpperCamelCase	  =	pending_constraint.update(lowerCAmelCase__ )

               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(lowerCAmelCase__ )
                  UpperCamelCase	  =	None

               if not complete and stepped:
                  UpperCamelCase	  =	pending_constraint

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

                  UpperCamelCase	  =	(
                      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	  =	True

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

      return complete, stepped







   def    UpperCAmelCase					(      self			, lowerCamelCase__=True ):

      '''simple docstring'''







      UpperCamelCase	  =	ConstraintListState(self.constraints )  # we actually never though self.constraints objects
      # throughout this process. So it's at initialization state.

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

      return new_state







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


_snake_case      :							Union[str, Any]     	=    {"configuration_wavlm": ["WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP", "WavLMConfig"]}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						_snake_case      :							Union[str, Any]     	=    [
						    "WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "WavLMForAudioFrameClassification",
						    "WavLMForCTC",
						    "WavLMForSequenceClassification",
						    "WavLMForXVector",
						    "WavLMModel",
						    "WavLMPreTrainedModel",
						]

if TYPE_CHECKING:
						from .configuration_wavlm import WAVLM_PRETRAINED_CONFIG_ARCHIVE_MAP, WavLMConfig

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_wavlm import (
												    WAVLM_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WavLMForAudioFrameClassification,
												    WavLMForCTC,
												    WavLMForSequenceClassification,
												    WavLMForXVector,
												    WavLMModel,
												    WavLMPreTrainedModel,
												)

else:
						import sys

						_snake_case      :							str     	=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)
