






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


class 	__SCREAMING_SNAKE_CASE(						__lowerCamelCase						):
							def __init__(  self:   Optional[int]    )		->		Optional[int]:
											self.test()
							def lowerCAmelCase_			(  self:   Tuple    )		->		Optional[Any]:
											snake_case__						=  0
											snake_case__						=  False
											while not completed:
															if counter == 1:
																			self.reset()
															snake_case__						=  self.advance()
															if not self.does_advance(UpperCamelCase    ):
																			raise Exception(
																			    'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.'    )

															snake_case__				,    snake_case__				,    snake_case__						=  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 lowerCAmelCase_			(  self:   str    )		->		Any:
											raise NotImplementedError(
											    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''    )
							@abstractmethod
							def lowerCAmelCase_			(  self:   str							,						UpperCamelCase:   int    )		->		Tuple:
											raise NotImplementedError(
											    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''    )
							@abstractmethod
							def lowerCAmelCase_			(  self:   List[Any]							,						UpperCamelCase:   int    )		->		Tuple:
											raise NotImplementedError(
											    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''    )
							@abstractmethod
							def lowerCAmelCase_			(  self:   Any    )		->		List[str]:
											raise NotImplementedError(
											    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''    )
							@abstractmethod
							def lowerCAmelCase_			(  self:   Dict    )		->		Optional[int]:
											raise NotImplementedError(
											    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''    )


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


class 	__SCREAMING_SNAKE_CASE(						__lowerCamelCase						):
							def __init__(  self:   Any							,						UpperCamelCase:   List[int]    )		->		int:
											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}.'''    )

											snake_case__						=  token_ids

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






											if self.completed:
															return None
											return self.token_ids[self.fulfilled_idx + 1]
							def lowerCAmelCase_			(  self:   Union[str, Any]							,						UpperCamelCase:   int    )		->		Union[str, Any]:






											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 lowerCAmelCase_			(  self:   int							,						UpperCamelCase:   int    )		->		Optional[Any]:






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

											snake_case__						=  False
											snake_case__						=  False
											snake_case__						=  False

											if self.does_advance(UpperCamelCase    ):
															self.fulfilled_idx += 1
															snake_case__						=  True
															if self.fulfilled_idx == (self.seqlen - 1):
																			snake_case__						=  True
															snake_case__						=  completed
											else:
															# failed to make progress.
															snake_case__						=  True
															self.reset()
											return stepped, completed, reset
							def lowerCAmelCase_			(  self:   Tuple    )		->		Optional[int]:
											snake_case__						=  False
											snake_case__						=  0
							def lowerCAmelCase_			(  self:   List[Any]    )		->		Union[str, Any]:
											return self.seqlen - (self.fulfilled_idx + 1)


							def lowerCAmelCase_			(  self:   Union[str, Any]							,						UpperCamelCase:   Any=False    )		->		Dict:
											snake_case__						=  PhrasalConstraint(self.token_ids    )

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

											return new_constraint


class 	__SCREAMING_SNAKE_CASE:
							def __init__(  self:   List[Any]							,						UpperCamelCase:   List[List[int]]							,						UpperCamelCase:   Optional[int]=True    )		->		Any:
											snake_case__						=  max([len(UpperCamelCase    ) for one in nested_token_ids]    )

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

																			snake_case__						=  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}.'''    )

											snake_case__						=  root
							def lowerCAmelCase_			(  self:   Optional[Any]							,						UpperCamelCase:   Union[str, Any]    )		->		Tuple:
											snake_case__						=  self.trie

											for current_token in current_seq:
															snake_case__						=  start[current_token]

											snake_case__						=  list(start.keys()    )

											return next_tokens
							def lowerCAmelCase_			(  self:   Dict							,						UpperCamelCase:   List[Any]    )		->		Dict:
											snake_case__						=  self.next_tokens(UpperCamelCase    )

											return len(UpperCamelCase    ) == 0
							def lowerCAmelCase_			(  self:   str							,						UpperCamelCase:   str    )		->		Dict:
											snake_case__						=  list(root.values()    )
											if len(UpperCamelCase    ) == 0:
															return 1
											else:
															return sum([self.count_leaves(UpperCamelCase    ) for nn in next_nodes]    )


							def lowerCAmelCase_			(  self:   str							,						UpperCamelCase:   Optional[int]							,						UpperCamelCase:   List[Any]    )		->		Optional[Any]:
											snake_case__						=  self.count_leaves(UpperCamelCase    )
											return len(UpperCamelCase    ) != leaf_count


class 	__SCREAMING_SNAKE_CASE(						__lowerCamelCase						):
							def __init__(  self:   Optional[int]							,						UpperCamelCase:   List[List[int]]    )		->		Optional[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}.'''    )

											snake_case__						=  DisjunctiveTrie(UpperCamelCase    )
											snake_case__						=  nested_token_ids

											snake_case__						=  self.trie.max_height
											snake_case__						=  []
											snake_case__						=  False
							def lowerCAmelCase_			(  self:   List[str]    )		->		Optional[int]:
											snake_case__						=  self.trie.next_tokens(self.current_seq    )

											if len(UpperCamelCase    ) == 0:
															return None
											else:
															return token_list
							def lowerCAmelCase_			(  self:   Union[str, Any]							,						UpperCamelCase:   int    )		->		Tuple:






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

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

											return token_id in next_tokens
							def lowerCAmelCase_			(  self:   List[str]							,						UpperCamelCase:   int    )		->		Any:






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

											snake_case__						=  False
											snake_case__						=  False
											snake_case__						=  False

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

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

											return stepped, completed, reset
							def lowerCAmelCase_			(  self:   str    )		->		str:
											snake_case__						=  False
											snake_case__						=  []
							def lowerCAmelCase_			(  self:   str    )		->		str:






											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:   int							,						UpperCamelCase:   Optional[int]=False    )		->		int:
											snake_case__						=  DisjunctiveConstraint(self.token_ids    )

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

											return new_constraint


class 	__SCREAMING_SNAKE_CASE:
							def __init__(  self:   int							,						UpperCamelCase:   List[Constraint]    )		->		str:
											snake_case__						=  constraints

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

											self.init_state()
							def lowerCAmelCase_			(  self:   Optional[int]    )		->		int:
											snake_case__						=  []
											snake_case__						=  None
											snake_case__						=  [constraint.copy(stateful=UpperCamelCase    ) for constraint in self.constraints]
							def lowerCAmelCase_			(  self:   Dict    )		->		Optional[int]:
											snake_case__						=  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:   int    )		->		int:
											snake_case__						=  []
											if self.inprogress_constraint is None:
															for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
																			snake_case__						=  constraint.advance()
																			if isinstance(UpperCamelCase							,						UpperCamelCase    ):
																							token_list.append(UpperCamelCase    )
																			elif isinstance(UpperCamelCase							,						UpperCamelCase    ):
																							token_list.extend(UpperCamelCase    )
											else:
															snake_case__						=  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 lowerCAmelCase_			(  self:   Tuple							,						UpperCamelCase:   Optional[List[int]]    )		->		List[str]:
											self.init_state()

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

																			# the entire list of constraints are fulfilled
																			if self.completed:
																							break
							def lowerCAmelCase_			(  self:   Dict							,						UpperCamelCase:   int    )		->		Optional[int]:






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

											snake_case__				,    snake_case__						=  False, False

											if self.completed:
															snake_case__						=  True
															snake_case__						=  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

															snake_case__				,    snake_case__				,    snake_case__						=  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    )    )
																			snake_case__						=  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    )
																			snake_case__						=  None

																			if len(self.pending_constraints    ) == 0:
																							# we're done!
																							snake_case__						=  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    ):
																							snake_case__				,    snake_case__				,    snake_case__						=  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    )
																											snake_case__						=  None

																							if not complete and stepped:
																											snake_case__						=  pending_constraint

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

																											snake_case__						=  (
																											    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.

																															snake_case__						=  True

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

											return complete, stepped


							def lowerCAmelCase_			(  self:   Optional[int]							,						UpperCamelCase:   List[Any]=True    )		->		Tuple:
											snake_case__						=  ConstraintListState(self.constraints    )  # we actually never though self.constraints objects
											# throughout this process. So it's at initialization state.

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

											return new_state






from ...configuration_utils import PretrainedConfig
from ...utils import logging


__lowerCAmelCase					   =       logging.get_logger(__name__)

__lowerCAmelCase					   =       {
    'microsoft/biogpt': 'https://huggingface.co/microsoft/biogpt/resolve/main/config.json',
    # See all BioGPT models at https://huggingface.co/models?filter=biogpt
}





class     lowerCamelCase      (       __lowerCamelCase					):
	UpperCamelCase_  :					Union[str, Any]    		=	'biogpt'







	def __init__(     self      :Tuple   ,     lowercase      :Union[str, Any]=4_2_3_8_4   ,     lowercase      :str=1_0_2_4   ,     lowercase      :Any=2_4   ,     lowercase      :List[str]=1_6   ,     lowercase      :List[str]=4_0_9_6   ,     lowercase      :int="gelu"   ,     lowercase      :List[Any]=0.1   ,     lowercase      :int=0.1   ,     lowercase      :int=1_0_2_4   ,     lowercase      :Optional[Any]=0.02   ,     lowercase      :Union[str, Any]=1e-12   ,     lowercase      :Tuple=True   ,     lowercase      :int=True   ,     lowercase      :Optional[int]=0.0   ,     lowercase      :Any=0.0   ,     lowercase      :str=1   ,     lowercase      :Any=0   ,     lowercase      :int=2   ,     **lowercase      :Tuple   ,     )		->      Optional[int]:







				"""simple docstring"""






				SCREAMING_SNAKE_CASE     						= vocab_size
				SCREAMING_SNAKE_CASE     						= max_position_embeddings
				SCREAMING_SNAKE_CASE     						= hidden_size
				SCREAMING_SNAKE_CASE     						= num_hidden_layers
				SCREAMING_SNAKE_CASE     						= num_attention_heads
				SCREAMING_SNAKE_CASE     						= intermediate_size
				SCREAMING_SNAKE_CASE     						= hidden_act
				SCREAMING_SNAKE_CASE     						= hidden_dropout_prob
				SCREAMING_SNAKE_CASE     						= attention_probs_dropout_prob
				SCREAMING_SNAKE_CASE     						= initializer_range
				SCREAMING_SNAKE_CASE     						= layer_norm_eps
				SCREAMING_SNAKE_CASE     						= scale_embedding
				SCREAMING_SNAKE_CASE     						= use_cache
				SCREAMING_SNAKE_CASE     						= layerdrop
				SCREAMING_SNAKE_CASE     						= activation_dropout
				super().__init__(pad_token_id=lowercase   ,     bos_token_id=lowercase   ,     eos_token_id=lowercase   ,     **lowercase			)