"""simple docstring"""
from abc import ABC, abstractmethod
from typing import List, Optional



class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""

				def __init__(			self      ):






										"""simple docstring"""

										self.test()

				def 						snake_case	(			self      ):






										"""simple docstring"""

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

																snake_case   ,snake_case   ,snake_case        =     self.update(lowerCAmelCase      )
																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      ):






										"""simple docstring"""

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

				@abstractmethod
				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

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

				@abstractmethod
				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

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

				@abstractmethod
				def 						snake_case	(			self      ):






										"""simple docstring"""

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

				@abstractmethod
				def 						snake_case	(			self      ):






										"""simple docstring"""

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

				@abstractmethod
				def 						snake_case	(			self						,      lowerCAmelCase=False      ):






										"""simple docstring"""

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





class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""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}."""      )

										snake_case        =     token_ids

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

				def 						snake_case	(			self      ):






										"""simple docstring"""

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

				def 						snake_case	(			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 						snake_case	(			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      )}"""      )

										snake_case        =     False
										snake_case        =     False
										snake_case        =     False

										if self.does_advance(lowerCAmelCase      ):
																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 						snake_case	(			self      ):






										"""simple docstring"""

										snake_case        =     False
										snake_case        =     0

				def 						snake_case	(			self      ):






										"""simple docstring"""

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

				def 						snake_case	(			self						,      lowerCAmelCase=False      ):






										"""simple docstring"""

										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 					lowerCAmelCase_      :



				"""simple docstring"""

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






										"""simple docstring"""

										snake_case        =     max([len(lowerCAmelCase      ) for one in nested_token_ids]      )

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

																						snake_case        =     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}."""      )

										snake_case        =     root

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     self.trie

										for current_token in current_seq:
																snake_case        =     start[current_token]

										snake_case        =     list(start.keys()      )

										return next_tokens

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     self.next_tokens(lowerCAmelCase      )

										return len(lowerCAmelCase      ) == 0

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

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

				def 						snake_case	(			self						,      lowerCAmelCase						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     self.count_leaves(lowerCAmelCase      )
										return len(lowerCAmelCase      ) != leaf_count





class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""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}."""      )

										snake_case        =     DisjunctiveTrie(lowerCAmelCase      )
										snake_case        =     nested_token_ids

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

				def 						snake_case	(			self      ):






										"""simple docstring"""

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

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

				def 						snake_case	(			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      )}"""      )

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

										return token_id in next_tokens

				def 						snake_case	(			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      )}"""      )

										snake_case        =     False
										snake_case        =     False
										snake_case        =     False

										if self.does_advance(lowerCAmelCase      ):
																self.current_seq.append(lowerCAmelCase      )
																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 						snake_case	(			self      ):






										"""simple docstring"""

										snake_case        =     False
										snake_case        =     []

				def 						snake_case	(			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 						snake_case	(			self						,      lowerCAmelCase=False      ):






										"""simple docstring"""

										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 					lowerCAmelCase_      :



				"""simple docstring"""

				def __init__(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										snake_case        =     constraints

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

										self.init_state()

				def 						snake_case	(			self      ):






										"""simple docstring"""

										snake_case        =     []
										snake_case        =     None
										snake_case        =     [constraint.copy(stateful=lowerCAmelCase      ) for constraint in self.constraints]

				def 						snake_case	(			self      ):






										"""simple docstring"""

										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 						snake_case	(			self      ):






										"""simple docstring"""

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






										"""simple docstring"""

										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(lowerCAmelCase      )

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

				def 						snake_case	(			self						,      lowerCAmelCase      ):






										"""simple docstring"""

										if not isinstance(lowerCAmelCase						,      lowerCAmelCase      ):
																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(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      )      )
																						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(lowerCAmelCase      ):
																												snake_case   ,snake_case   ,snake_case        =     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      )
																																		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 						snake_case	(			self						,      lowerCAmelCase=True      ):






										"""simple docstring"""

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

										return new_state



"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE__   =					logging.get_logger(__name__)

SCREAMING_SNAKE_CASE__   =					{
    "microsoft/swinv2-tiny-patch4-window8-256": (
        "https://huggingface.co/microsoft/swinv2-tiny-patch4-window8-256/resolve/main/config.json"
    ),
}



class 					lowerCAmelCase_      (     lowerCAmelCase   ):



				"""simple docstring"""
				_lowerCAmelCase       :      Tuple     					=  """swinv2"""

				_lowerCAmelCase       :      Any     					=  {
				    """num_attention_heads""": """num_heads""",
				    """num_hidden_layers""": """num_layers""",
				}

				def __init__(			self						,      lowerCAmelCase=2_24						,      lowerCAmelCase=4						,      lowerCAmelCase=3						,      lowerCAmelCase=96						,      lowerCAmelCase=[2, 2, 6, 2]						,      lowerCAmelCase=[3, 6, 12, 24]						,      lowerCAmelCase=7						,      lowerCAmelCase=4.0						,      lowerCAmelCase=True						,      lowerCAmelCase=0.0						,      lowerCAmelCase=0.0						,      lowerCAmelCase=0.1						,      lowerCAmelCase="gelu"						,      lowerCAmelCase=False						,      lowerCAmelCase=0.02						,      lowerCAmelCase=1E-5						,      lowerCAmelCase=32						,      **lowerCAmelCase						,      ):






										"""simple docstring"""

										super().__init__(**lowerCAmelCase      )

										snake_case        =     image_size
										snake_case        =     patch_size
										snake_case        =     num_channels
										snake_case        =     embed_dim
										snake_case        =     depths
										snake_case        =     len(lowerCAmelCase      )
										snake_case        =     num_heads
										snake_case        =     window_size
										snake_case        =     mlp_ratio
										snake_case        =     qkv_bias
										snake_case        =     hidden_dropout_prob
										snake_case        =     attention_probs_dropout_prob
										snake_case        =     drop_path_rate
										snake_case        =     hidden_act
										snake_case        =     use_absolute_embeddings
										snake_case        =     layer_norm_eps
										snake_case        =     initializer_range
										snake_case        =     encoder_stride
										# we set the hidden_size attribute in order to make Swinv2 work with VisionEncoderDecoderModel
										# this indicates the channel dimension after the last stage of the model
										snake_case        =     int(embed_dim * 2 ** (len(lowerCAmelCase      ) - 1)      )
										snake_case        =     (0, 0, 0, 0)


