





'''simple docstring'''




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






class 				__snake_case     (					lowerCAmelCase__							):





	def __init__(		self		)      ->		Optional[int]:
		# test for the above condition
		self.test()





	def   _snake_case   (		self		)      ->		Dict:
		snake_case__	       =   0
		snake_case__	       =   False
		while not completed:
			if counter == 1:
				self.reset()
			snake_case__	       =   self.advance()
			if not self.does_advance(__a		):
				raise Exception(
				    'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.'		)

			snake_case__       ,  snake_case__       ,  snake_case__	       =   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   _snake_case   (		self		)      ->		str:
		raise NotImplementedError(
		    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)





	@abstractmethod
	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Dict:
		raise NotImplementedError(
		    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)





	@abstractmethod
	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[str]:
		raise NotImplementedError(
		    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)





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





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





	@abstractmethod
	def   _snake_case   (		self      ,       UpperCamelCase_=False		)      ->		Optional[int]:
		raise NotImplementedError(
		    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''		)






class 				__snake_case     (					lowerCAmelCase__							):





	def __init__(		self      ,       UpperCamelCase_		)      ->		Tuple:
		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}.'''		)

		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		)      ->		Tuple:
		if self.completed:
			return None
		return self.token_ids[self.fulfilled_idx + 1]





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[str]:
		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   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Optional[Any]:
		if not isinstance(__a      ,       __a		):
			raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(__a		)}'''		)

		snake_case__	       =   False
		snake_case__	       =   False
		snake_case__	       =   False

		if self.does_advance(__a		):
			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		)      ->		List[str]:
		snake_case__	       =   False
		snake_case__	       =   0





	def   _snake_case   (		self		)      ->		int:
		return self.seqlen - (self.fulfilled_idx + 1)





	def   _snake_case   (		self      ,       UpperCamelCase_=False		)      ->		List[Any]:
		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 				__snake_case     :





	def __init__(		self      ,       UpperCamelCase_      ,       UpperCamelCase_=True		)      ->		Tuple:
		snake_case__	       =   max([len(__a		) for one in nested_token_ids]		)

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

				snake_case__	       =   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}.'''		)

		snake_case__	       =   root





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Optional[int]:
		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      ,       UpperCamelCase_		)      ->		int:
		snake_case__	       =   self.next_tokens(__a		)

		return len(__a		) == 0





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Any:
		snake_case__	       =   list(root.values()		)
		if len(__a		) == 0:
			return 1
		else:
			return sum([self.count_leaves(__a		) for nn in next_nodes]		)





	def   _snake_case   (		self      ,       UpperCamelCase_      ,       UpperCamelCase_		)      ->		Tuple:
		snake_case__	       =   self.count_leaves(__a		)
		return len(__a		) != leaf_count






class 				__snake_case     (					lowerCAmelCase__							):





	def __init__(		self      ,       UpperCamelCase_		)      ->		Tuple:
		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}.'''		)

		snake_case__	       =   DisjunctiveTrie(__a		)
		snake_case__	       =   nested_token_ids

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





	def   _snake_case   (		self		)      ->		Tuple:
		snake_case__	       =   self.trie.next_tokens(self.current_seq		)

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





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		List[str]:
		if not isinstance(__a      ,       __a		):
			raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(__a		)}'''		)

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

		return token_id in next_tokens





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Tuple:
		if not isinstance(__a      ,       __a		):
			raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(__a		)}'''		)

		snake_case__	       =   False
		snake_case__	       =   False
		snake_case__	       =   False

		if self.does_advance(__a		):
			self.current_seq.append(__a		)
			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		)      ->		int:
		snake_case__	       =   False
		snake_case__	       =   []





	def   _snake_case   (		self		)      ->		List[str]:
		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      ,       UpperCamelCase_=False		)      ->		Optional[Any]:
		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 				__snake_case     :





	def __init__(		self      ,       UpperCamelCase_		)      ->		Union[str, Any]:
		snake_case__	       =   constraints

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

		self.init_state()





	def   _snake_case   (		self		)      ->		Optional[int]:
		snake_case__	       =   []
		snake_case__	       =   None
		snake_case__	       =   [constraint.copy(stateful=__a		) for constraint in self.constraints]





	def   _snake_case   (		self		)      ->		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   _snake_case   (		self		)      ->		List[str]:
		snake_case__	       =   []
		if self.inprogress_constraint is None:
			for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
				snake_case__	       =   constraint.advance()
				if isinstance(__a      ,       __a		):
					token_list.append(__a		)
				elif isinstance(__a      ,       __a		):
					token_list.extend(__a		)
		else:
			snake_case__	       =   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   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Optional[Any]:
		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(__a		)

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





	def   _snake_case   (		self      ,       UpperCamelCase_		)      ->		Optional[Any]:
		if not isinstance(__a      ,       __a		):
			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(__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		)		)
				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(__a		):
					snake_case__       ,  snake_case__       ,  snake_case__	       =   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		)
						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      ,       UpperCamelCase_=True		)      ->		Union[str, Any]:
		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=__a		) for constraint in self.complete_constraints
			]
			if self.inprogress_constraint is not None:
				snake_case__	       =   self.inprogress_constraint.copy(stateful=__a		)
			snake_case__	       =   [constraint.copy() for constraint in self.pending_constraints]

		return new_state







"""simple docstring"""


import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch


if is_torch_available():
	import torch

	from transformers.activations import gelu_new, gelu_python, get_activation
@require_torch
class     _UpperCamelCase    (  unittest.TestCase						):
							'''simple docstring'''







							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertTrue(torch.allclose(gelu_python(__a      )       ,  torch_builtin(__a      )      )      )
										self.assertFalse(torch.allclose(gelu_python(__a      )       ,  gelu_new(__a      )      )      )

							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     torch.tensor([-1_00, -1, -0.1, 0, 0.1, 1.0, 1_00]      )
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     get_activation("gelu_10"      )

										__lowerCAmelCase							       =     torch_builtin(__a      )
										__lowerCAmelCase							       =     geluaa(__a      )

										__lowerCAmelCase							       =     torch.where(y_gelu_aa < 1_0.0       ,  1       ,  0      )

										self.assertTrue(torch.max(__a      ).item() == 1_0.0      )
										self.assertTrue(torch.allclose(y_gelu * clipped_mask       ,  y_gelu_aa * clipped_mask      )      )

							def      snake_case							(	self      ):
										get_activation("gelu"      )
										get_activation("gelu_10"      )
										get_activation("gelu_fast"      )
										get_activation("gelu_new"      )
										get_activation("gelu_python"      )
										get_activation("gelu_pytorch_tanh"      )
										get_activation("linear"      )
										get_activation("mish"      )
										get_activation("quick_gelu"      )
										get_activation("relu"      )
										get_activation("sigmoid"      )
										get_activation("silu"      )
										get_activation("swish"      )
										get_activation("tanh"      )
										with self.assertRaises(__a      ):
													get_activation("bogus"      )
										with self.assertRaises(__a      ):
													get_activation(__a      )



							def      snake_case							(	self      ):
										__lowerCAmelCase							       =     get_activation("gelu"      )
										__lowerCAmelCase							       =     1
										__lowerCAmelCase							       =     get_activation("gelu"      )
										self.assertEqual(acta.a       ,  1      )
										with self.assertRaises(__a      ):
													__lowerCAmelCase							       =     acta.a




