

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

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self       )  ->						Optional[Any]:
							'''simple docstring'''






							self.test()


			def      UpperCamelCase		(    self       )  ->						Optional[Any]:
							'''simple docstring'''






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

											A__    ,				A__    ,				A__        =			self.update(lowercase       )
											counter += 1

											if counter > 10000:
															raise Exception("update() does not fulfill the constraint."       )

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


			@abstractmethod
			def      UpperCamelCase		(    self       )  ->						Optional[int]:
							'''simple docstring'''






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


			@abstractmethod
			def      UpperCamelCase		(    self      ,      lowercase       )  ->						int:
							'''simple docstring'''






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


			@abstractmethod
			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Dict:
							'''simple docstring'''






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


			@abstractmethod
			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






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


			@abstractmethod
			def      UpperCamelCase		(    self       )  ->						Any:
							'''simple docstring'''






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


			@abstractmethod
			def      UpperCamelCase		(    self      ,      lowercase=False       )  ->						int:
							'''simple docstring'''






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

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self      ,      lowercase       )  ->						List[str]:
							'''simple docstring'''






							super(lowercase      ,      self       ).__init__()

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

							A__        =			token_ids

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


			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''simple docstring'''






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


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Optional[Any]:
							'''simple docstring'''






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

							if self.completed:
											return False

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


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						List[str]:
							'''simple docstring'''






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

							A__        =			False
							A__        =			False
							A__        =			False

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


			def      UpperCamelCase		(    self       )  ->						Optional[Any]:
							'''simple docstring'''






							A__        =			False
							A__        =			0


			def      UpperCamelCase		(    self       )  ->						Tuple:
							'''simple docstring'''






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


			def      UpperCamelCase		(    self      ,      lowercase=False       )  ->						Tuple:
							'''simple docstring'''






							A__        =			PhrasalConstraint(self.token_ids       )

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

							return new_constraint

class 					a__						:
			"""simple docstring"""







			def __init__(    self      ,      lowercase      ,      lowercase=True       )  ->						Any:
							'''simple docstring'''






							A__        =			max([len(lowercase       ) for one in nested_token_ids]       )

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

															A__        =			level[token_id]

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

							A__        =			root


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Dict:
							'''simple docstring'''






							A__        =			self.trie

							for current_token in current_seq:
											A__        =			start[current_token]

							A__        =			list(start.keys()       )

							return next_tokens


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						int:
							'''simple docstring'''






							A__        =			self.next_tokens(lowercase       )

							return len(lowercase       ) == 0


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						str:
							'''simple docstring'''






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


			def      UpperCamelCase		(    self      ,      lowercase      ,      lowercase       )  ->						str:
							'''simple docstring'''






							A__        =			self.count_leaves(lowercase       )
							return len(lowercase       ) != leaf_count

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self      ,      lowercase       )  ->						Dict:
							'''simple docstring'''






							super(lowercase      ,      self       ).__init__()

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

							A__        =			DisjunctiveTrie(lowercase       )
							A__        =			nested_token_ids

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


			def      UpperCamelCase		(    self       )  ->						List[str]:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						Optional[Any]:
							'''simple docstring'''






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

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

							return token_id in next_tokens


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						str:
							'''simple docstring'''






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

							A__        =			False
							A__        =			False
							A__        =			False

							if self.does_advance(lowercase       ):
											self.current_seq.append(lowercase       )
											A__        =			True
							else:
											A__        =			True
											self.reset()

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

							return stepped, completed, reset


			def      UpperCamelCase		(    self       )  ->						int:
							'''simple docstring'''






							A__        =			False
							A__        =			[]


			def      UpperCamelCase		(    self       )  ->						List[Any]:
							'''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      ,      lowercase=False       )  ->						Optional[Any]:
							'''simple docstring'''






							A__        =			DisjunctiveConstraint(self.token_ids       )

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

							return new_constraint

class 					a__						:
			"""simple docstring"""







			def __init__(    self      ,      lowercase       )  ->						List[str]:
							'''simple docstring'''






							A__        =			constraints

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

							self.init_state()


			def      UpperCamelCase		(    self       )  ->						Optional[Any]:
							'''simple docstring'''






							A__        =			[]
							A__        =			None
							A__        =			[constraint.copy(stateful=lowercase       ) for constraint in self.constraints]


			def      UpperCamelCase		(    self       )  ->						Optional[int]:
							'''simple docstring'''






							A__        =			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       )  ->						List[Any]:
							'''simple docstring'''






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

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


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						List[str]:
							'''simple docstring'''






							self.init_state()

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

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


			def      UpperCamelCase		(    self      ,      lowercase       )  ->						List[str]:
							'''simple docstring'''






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

							A__    ,				A__        =			False, False

							if self.completed:
											A__        =			True
											A__        =			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

											A__    ,				A__    ,				A__        =			self.inprogress_constraint.update(lowercase       )
											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=lowercase       )       )
															A__        =			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       )
															A__        =			None

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

																			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(lowercase       )
																							A__        =			None

																			if not complete and stepped:
																							A__        =			pending_constraint

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

																							A__        =			(
																							    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.

																											A__        =			True

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

							return complete, stepped


			def      UpperCamelCase		(    self      ,      lowercase=True       )  ->						Dict:
							'''simple docstring'''






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

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

							return new_state




import warnings

from ...utils import logging
from .image_processing_clip import CLIPImageProcessor


lowerCAmelCase__	   = logging.get_logger(__name__)

class 					a__						(					snake_case			):
			"""simple docstring"""







			def __init__(    self      ,      *lowercase      ,      **lowercase       )  ->						None:
							'''simple docstring'''






							warnings.warn(
							    "The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please"
							    " use CLIPImageProcessor instead."      ,      lowercase      ,      )
							super().__init__(*lowercase      ,      **lowercase       )

