
"""simple docstring"""




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


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       def __init__(  self							)  ->						int:





         """simple docstring"""




         self.test()
       def 				lowercase_				(  self							)  ->						Union[str, Any]:





         """simple docstring"""




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

           _lowercase			,					_lowercase			,					_lowercase:      Optional[int]   			=  self.update(A_							)
           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 				lowercase_				(  self							)  ->						Dict:





         """simple docstring"""




         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)
       @abstractmethod
       def 				lowercase_				(  self			,					A_							)  ->						str:





         """simple docstring"""




         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)
       @abstractmethod
       def 				lowercase_				(  self			,					A_							)  ->						List[Any]:





         """simple docstring"""




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





         """simple docstring"""




         raise NotImplementedError(
             f'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''							)
       @abstractmethod
       def 				lowercase_				(  self							)  ->						List[Any]:





         """simple docstring"""




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



       @abstractmethod
       def 				lowercase_				(  self			,					A_=False							)  ->						List[str]:





         """simple docstring"""




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


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       def __init__(  self			,					A_							)  ->						Optional[Any]:





         """simple docstring"""




         super(A_			,					self							).__init__()

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

         _lowercase:      int   			=  token_ids

         _lowercase:      List[Any]   			=  len(self.token_ids							)
         _lowercase:      Dict   			=  -1  # the index of the currently fulfilled step
         _lowercase:      Any   			=  False
       def 				lowercase_				(  self							)  ->						int:





         """simple docstring"""




         if self.completed:
           return None
         return self.token_ids[self.fulfilled_idx + 1]
       def 				lowercase_				(  self			,					A_							)  ->						Tuple:





         """simple docstring"""




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

         if self.completed:
           return False

         return token_id == self.token_ids[self.fulfilled_idx + 1]
       def 				lowercase_				(  self			,					A_							)  ->						List[Any]:





         """simple docstring"""




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

         _lowercase:      Optional[int]   			=  False
         _lowercase:      Optional[Any]   			=  False
         _lowercase:      str   			=  False

         if self.does_advance(A_							):
           self.fulfilled_idx += 1
           _lowercase:      str   			=  True
           if self.fulfilled_idx == (self.seqlen - 1):
             _lowercase:      Union[str, Any]   			=  True
           _lowercase:      Any   			=  completed
         else:
           # failed to make progress.
           _lowercase:      str   			=  True
           self.reset()
         return stepped, completed, reset
       def 				lowercase_				(  self							)  ->						str:





         """simple docstring"""




         _lowercase:      Optional[Any]   			=  False
         _lowercase:      List[str]   			=  0
       def 				lowercase_				(  self							)  ->						List[Any]:





         """simple docstring"""




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



       def 				lowercase_				(  self			,					A_=False							)  ->						Union[str, Any]:





         """simple docstring"""




         _lowercase:      Tuple   			=  PhrasalConstraint(self.token_ids							)

         if stateful:
           _lowercase:      Optional[Any]   			=  self.seqlen
           _lowercase:      str   			=  self.fulfilled_idx
           _lowercase:      Optional[Any]   			=  self.completed

         return new_constraint


class       __magic_name__							:
       def __init__(  self			,					A_			,					A_=True							)  ->						int:





         """simple docstring"""




         _lowercase:      int   			=  max([len(A_							) for one in nested_token_ids]							)

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

             _lowercase:      Any   			=  level[token_id]

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

         _lowercase:      List[Any]   			=  root
       def 				lowercase_				(  self			,					A_							)  ->						str:





         """simple docstring"""




         _lowercase:      int   			=  self.trie

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

         _lowercase:      int   			=  list(start.keys()							)

         return next_tokens
       def 				lowercase_				(  self			,					A_							)  ->						str:





         """simple docstring"""




         _lowercase:      int   			=  self.next_tokens(A_							)

         return len(A_							) == 0
       def 				lowercase_				(  self			,					A_							)  ->						Any:





         """simple docstring"""




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



       def 				lowercase_				(  self			,					A_			,					A_							)  ->						List[Any]:





         """simple docstring"""




         _lowercase:      str   			=  self.count_leaves(A_							)
         return len(A_							) != leaf_count


class       __magic_name__							(							SCREAMING_SNAKE_CASE__			):
       def __init__(  self			,					A_							)  ->						List[str]:





         """simple docstring"""




         super(A_			,					self							).__init__()

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

         _lowercase:      Tuple   			=  DisjunctiveTrie(A_							)
         _lowercase:      Tuple   			=  nested_token_ids

         _lowercase:      Union[str, Any]   			=  self.trie.max_height
         _lowercase:      Optional[int]   			=  []
         _lowercase:      Tuple   			=  False
       def 				lowercase_				(  self							)  ->						List[str]:





         """simple docstring"""




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

         if len(A_							) == 0:
           return None
         else:
           return token_list
       def 				lowercase_				(  self			,					A_							)  ->						List[str]:





         """simple docstring"""




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

         _lowercase:      Union[str, Any]   			=  self.trie.next_tokens(self.current_seq							)

         return token_id in next_tokens
       def 				lowercase_				(  self			,					A_							)  ->						Tuple:





         """simple docstring"""




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

         _lowercase:      Tuple   			=  False
         _lowercase:      List[str]   			=  False
         _lowercase:      Tuple   			=  False

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

         _lowercase:      int   			=  self.trie.reached_leaf(self.current_seq							)
         _lowercase:      Any   			=  completed

         return stepped, completed, reset
       def 				lowercase_				(  self							)  ->						Optional[Any]:





         """simple docstring"""




         _lowercase:      List[Any]   			=  False
         _lowercase:      Any   			=  []
       def 				lowercase_				(  self							)  ->						Optional[int]:





         """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 				lowercase_				(  self			,					A_=False							)  ->						List[str]:





         """simple docstring"""




         _lowercase:      Optional[Any]   			=  DisjunctiveConstraint(self.token_ids							)

         if stateful:
           _lowercase:      Optional[int]   			=  self.seqlen
           _lowercase:      Tuple   			=  self.current_seq
           _lowercase:      Tuple   			=  self.completed

         return new_constraint


class       __magic_name__							:
       def __init__(  self			,					A_							)  ->						Tuple:





         """simple docstring"""




         _lowercase:      Any   			=  constraints

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

         self.init_state()
       def 				lowercase_				(  self							)  ->						List[str]:





         """simple docstring"""




         _lowercase:      Dict   			=  []
         _lowercase:      Union[str, Any]   			=  None
         _lowercase:      int   			=  [constraint.copy(stateful=A_							) for constraint in self.constraints]
       def 				lowercase_				(  self							)  ->						Union[str, Any]:





         """simple docstring"""




         _lowercase:      Tuple   			=  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 				lowercase_				(  self							)  ->						List[str]:





         """simple docstring"""




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

         if len(A_							) == 0:
           return None
         else:
           return token_list
       def 				lowercase_				(  self			,					A_							)  ->						Optional[int]:





         """simple docstring"""




         self.init_state()

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

             # the entire list of constraints are fulfilled
             if self.completed:
               break
       def 				lowercase_				(  self			,					A_							)  ->						Any:





         """simple docstring"""




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

         _lowercase			,					_lowercase:      Tuple   			=  False, False

         if self.completed:
           _lowercase:      Dict   			=  True
           _lowercase:      Union[str, 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

           _lowercase			,					_lowercase			,					_lowercase:      int   			=  self.inprogress_constraint.update(A_							)
           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=A_							)							)
             _lowercase:      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							)
             _lowercase:      Optional[Any]   			=  None

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

               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(A_							)
                 _lowercase:      List[Any]   			=  None

               if not complete and stepped:
                 _lowercase:      Tuple   			=  pending_constraint

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

                 _lowercase:      Union[str, Any]   			=  (
                     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.

                   _lowercase:      Any   			=  True

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

         return complete, stepped



       def 				lowercase_				(  self			,					A_=True							)  ->						int:





         """simple docstring"""




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

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

         return new_state


"""simple docstring"""




from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tokenizers_available, is_torch_available


A__ :       List[str]				= {
    'configuration_biogpt': ['BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP', 'BioGptConfig'],
    'tokenization_biogpt': ['BioGptTokenizer'],
}

try:
  if not is_torch_available():
    raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
  pass
else:
  A__ :       Dict				= [
      'BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST',
      'BioGptForCausalLM',
      'BioGptForTokenClassification',
      'BioGptForSequenceClassification',
      'BioGptModel',
      'BioGptPreTrainedModel',
  ]


if TYPE_CHECKING:
  from .configuration_biogpt import BIOGPT_PRETRAINED_CONFIG_ARCHIVE_MAP, BioGptConfig
  from .tokenization_biogpt import BioGptTokenizer

  try:
    if not is_torch_available():
      raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
    pass
  else:
    from .modeling_biogpt import (
        BIOGPT_PRETRAINED_MODEL_ARCHIVE_LIST,
        BioGptForCausalLM,
        BioGptForSequenceClassification,
        BioGptForTokenClassification,
        BioGptModel,
        BioGptPreTrainedModel,
    )


else:
  import sys

  A__ :       int				= _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
