



"""simple docstring"""







from abc import ABC, abstractmethod
from typing import List, Optional
class        __A       (	A_    ):







		'''simple docstring'''





		def __init__(	self						:  Union[str, Any]						)					->		Union[str, Any]:






				"""simple docstring"""



				self.test()







		def 					UpperCAmelCase    (	self						:  str						)					->		Union[str, Any]:






				"""simple docstring"""



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

						lowercase__		,			lowercase__		,			lowercase__   :    Any				=			self.update(_snake_case						)
						counter += 1

						if counter > 10_000:
								raise Exception('''update() does not fulfill the constraint.'''						)

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







		@abstractmethod
		def 					UpperCAmelCase    (	self						:  Dict						)					->		List[str]:






				"""simple docstring"""



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







		@abstractmethod
		def 					UpperCAmelCase    (	self						:  Union[str, Any]			,_snake_case						:  int						)					->		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						:  Optional[Any]			,_snake_case						:  int						)					->		Dict:






				"""simple docstring"""



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







		@abstractmethod
		def 					UpperCAmelCase    (	self						:  Any						)					->		Tuple:






				"""simple docstring"""



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







		@abstractmethod
		def 					UpperCAmelCase    (	self						:  List[str]						)					->		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[str]			,_snake_case						:  Union[str, Any]=False						)					->		Dict:






				"""simple docstring"""



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





class        __A       (	A_    ):







		'''simple docstring'''





		def __init__(	self						:  List[Any]			,_snake_case						:  List[int]						)					->		Any:






				"""simple docstring"""



				super(_snake_case			,self						).__init__()

				if not isinstance(_snake_case			,_snake_case						) or len(_snake_case						) == 0:
						raise ValueError(f"""`token_ids` has to be a non-empty list, but is {token_ids}."""						)
				if any((not isinstance(_snake_case			,_snake_case						) 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__   :    List[str]				=			token_ids

				lowercase__   :    Tuple				=			len(self.token_ids						)
				lowercase__   :    Tuple				=			-1  # the index of the currently fulfilled step
				lowercase__   :    List[Any]				=			False







		def 					UpperCAmelCase    (	self						:  Optional[int]						)					->		str:






				"""simple docstring"""



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







		def 					UpperCAmelCase    (	self						:  Any			,_snake_case						:  int						)					->		Union[str, Any]:






				"""simple docstring"""



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

				if self.completed:
						return False

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







		def 					UpperCAmelCase    (	self						:  Union[str, Any]			,_snake_case						:  int						)					->		Any:






				"""simple docstring"""



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

				lowercase__   :    Optional[int]				=			False
				lowercase__   :    List[Any]				=			False
				lowercase__   :    str				=			False

				if self.does_advance(_snake_case						):
						self.fulfilled_idx += 1
						lowercase__   :    Union[str, Any]				=			True
						if self.fulfilled_idx == (self.seqlen - 1):
								lowercase__   :    Optional[int]				=			True
						lowercase__   :    str				=			completed
				else:
						# failed to make progress.
						lowercase__   :    List[Any]				=			True
						self.reset()
				return stepped, completed, reset







		def 					UpperCAmelCase    (	self						:  List[Any]						)					->		Any:






				"""simple docstring"""



				lowercase__   :    Tuple				=			False
				lowercase__   :    Any				=			0







		def 					UpperCAmelCase    (	self						:  Optional[Any]						)					->		int:






				"""simple docstring"""



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







		def 					UpperCAmelCase    (	self						:  Optional[Any]			,_snake_case						:  Tuple=False						)					->		List[Any]:






				"""simple docstring"""



				lowercase__   :    Union[str, Any]				=			PhrasalConstraint(self.token_ids						)

				if stateful:
						lowercase__   :    Union[str, Any]				=			self.seqlen
						lowercase__   :    Tuple				=			self.fulfilled_idx
						lowercase__   :    Tuple				=			self.completed

				return new_constraint





class        __A       :







		'''simple docstring'''





		def __init__(	self						:  Union[str, Any]			,_snake_case						:  List[List[int]]			,_snake_case						:  int=True						)					->		Tuple:






				"""simple docstring"""



				lowercase__   :    Tuple				=			max([len(_snake_case						) for one in nested_token_ids]						)

				lowercase__   :    List[str]				=			{}
				for token_ids in nested_token_ids:
						lowercase__   :    Optional[int]				=			root
						for tidx, token_id in enumerate(_snake_case						):
								if token_id not in level:
										lowercase__   :    str				=			{}

								lowercase__   :    str				=			level[token_id]

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

				lowercase__   :    int				=			root







		def 					UpperCAmelCase    (	self						:  List[Any]			,_snake_case						:  Tuple						)					->		List[str]:






				"""simple docstring"""



				lowercase__   :    Any				=			self.trie

				for current_token in current_seq:
						lowercase__   :    int				=			start[current_token]

				lowercase__   :    Union[str, Any]				=			list(start.keys()						)

				return next_tokens







		def 					UpperCAmelCase    (	self						:  List[Any]			,_snake_case						:  Optional[int]						)					->		Dict:






				"""simple docstring"""



				lowercase__   :    Tuple				=			self.next_tokens(_snake_case						)

				return len(_snake_case						) == 0







		def 					UpperCAmelCase    (	self						:  str			,_snake_case						:  Union[str, Any]						)					->		Tuple:






				"""simple docstring"""



				lowercase__   :    List[str]				=			list(root.values()						)
				if len(_snake_case						) == 0:
						return 1
				else:
						return sum([self.count_leaves(_snake_case						) for nn in next_nodes]						)







		def 					UpperCAmelCase    (	self						:  int			,_snake_case						:  Tuple			,_snake_case						:  str						)					->		Union[str, Any]:






				"""simple docstring"""



				lowercase__   :    Union[str, Any]				=			self.count_leaves(_snake_case						)
				return len(_snake_case						) != leaf_count





class        __A       (	A_    ):







		'''simple docstring'''





		def __init__(	self						:  str			,_snake_case						:  List[List[int]]						)					->		List[str]:






				"""simple docstring"""



				super(_snake_case			,self						).__init__()

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

				lowercase__   :    str				=			self.trie.max_height
				lowercase__   :    int				=			[]
				lowercase__   :    int				=			False







		def 					UpperCAmelCase    (	self						:  Optional[int]						)					->		Optional[Any]:






				"""simple docstring"""



				lowercase__   :    Any				=			self.trie.next_tokens(self.current_seq						)

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







		def 					UpperCAmelCase    (	self						:  List[str]			,_snake_case						:  int						)					->		Optional[Any]:






				"""simple docstring"""



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

				lowercase__   :    List[Any]				=			self.trie.next_tokens(self.current_seq						)

				return token_id in next_tokens







		def 					UpperCAmelCase    (	self						:  Any			,_snake_case						:  int						)					->		Tuple:






				"""simple docstring"""



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

				lowercase__   :    List[str]				=			False
				lowercase__   :    Tuple				=			False
				lowercase__   :    List[Any]				=			False

				if self.does_advance(_snake_case						):
						self.current_seq.append(_snake_case						)
						lowercase__   :    Optional[Any]				=			True
				else:
						lowercase__   :    str				=			True
						self.reset()

				lowercase__   :    Any				=			self.trie.reached_leaf(self.current_seq						)
				lowercase__   :    Dict				=			completed

				return stepped, completed, reset







		def 					UpperCAmelCase    (	self						:  int						)					->		Union[str, Any]:






				"""simple docstring"""



				lowercase__   :    Optional[int]				=			False
				lowercase__   :    Dict				=			[]







		def 					UpperCAmelCase    (	self						:  Optional[int]						)					->		Tuple:






				"""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						:  Tuple			,_snake_case						:  Tuple=False						)					->		Dict:






				"""simple docstring"""



				lowercase__   :    List[str]				=			DisjunctiveConstraint(self.token_ids						)

				if stateful:
						lowercase__   :    Any				=			self.seqlen
						lowercase__   :    Tuple				=			self.current_seq
						lowercase__   :    int				=			self.completed

				return new_constraint





class        __A       :







		'''simple docstring'''





		def __init__(	self						:  Optional[int]			,_snake_case						:  List[Constraint]						)					->		int:






				"""simple docstring"""



				lowercase__   :    str				=			constraints

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

				self.init_state()







		def 					UpperCAmelCase    (	self						:  Optional[Any]						)					->		str:






				"""simple docstring"""



				lowercase__   :    str				=			[]
				lowercase__   :    Tuple				=			None
				lowercase__   :    Optional[Any]				=			[constraint.copy(stateful=_snake_case						) for constraint in self.constraints]







		def 					UpperCAmelCase    (	self						:  Tuple						)					->		Optional[Any]:






				"""simple docstring"""



				lowercase__   :    List[str]				=			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						:  Tuple						)					->		Optional[Any]:






				"""simple docstring"""



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

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







		def 					UpperCAmelCase    (	self						:  Dict			,_snake_case						:  Optional[List[int]]						)					->		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__   :    Dict				=			self.add(_snake_case						)

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







		def 					UpperCAmelCase    (	self						:  Union[str, Any]			,_snake_case						:  int						)					->		int:






				"""simple docstring"""



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

				lowercase__		,			lowercase__   :    Union[str, Any]				=			False, False

				if self.completed:
						lowercase__   :    List[Any]				=			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__   :    Dict				=			self.inprogress_constraint.update(_snake_case						)
						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=_snake_case						)						)
								lowercase__   :    str				=			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__   :    Union[str, Any]				=			None

								if len(self.pending_constraints						) == 0:
										# we're done!
										lowercase__   :    List[str]				=			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(_snake_case						):
										lowercase__		,			lowercase__		,			lowercase__   :    Dict				=			pending_constraint.update(_snake_case						)

										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(_snake_case						)
												lowercase__   :    str				=			None

										if not complete and stepped:
												lowercase__   :    Optional[Any]				=			pending_constraint

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

												lowercase__   :    int				=			(
												    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 					UpperCAmelCase    (	self						:  List[Any]			,_snake_case						:  str=True						)					->		Union[str, Any]:






				"""simple docstring"""



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

				if stateful:
						lowercase__   :    Optional[int]				=			[
						    constraint.copy(stateful=_snake_case						) for constraint in self.complete_constraints
						]
						if self.inprogress_constraint is not None:
								lowercase__   :    List[Any]				=			self.inprogress_constraint.copy(stateful=_snake_case						)
						lowercase__   :    Optional[int]				=			[constraint.copy() for constraint in self.pending_constraints]

				return new_state





"""simple docstring"""







import os
from argparse import ArgumentParser
from typing import List

import torch.utils.data

from datasets import Dataset, IterableDataset
from datasets.distributed import split_dataset_by_node


lowerCAmelCase_   						=   4
lowerCAmelCase_   						=   3
class        __A       (	A_    ):







		'''simple docstring'''





		pass





def      __UpperCAmelCase      (    __lowerCamelCase	)							->      Dict:
		for shard in shards:
				for i in range(__lowerCamelCase	):
						yield {"i": i, "shard": shard}



def      __UpperCAmelCase      (    )							->      Tuple:
		lowercase__   :    int				=			int(os.environ['''RANK''']	)
		lowercase__   :    str				=			int(os.environ['''WORLD_SIZE''']	)

		lowercase__   :    List[Any]				=			ArgumentParser()
		parser.add_argument('''--streaming'''						,     type=__lowerCamelCase	)
		parser.add_argument('''--local_rank'''						,     type=__lowerCamelCase	)
		parser.add_argument('''--num_workers'''						,     type=__lowerCamelCase						,     default=0	)
		lowercase__   :    int				=			parser.parse_args()
		lowercase__   :    Optional[Any]				=			args.streaming
		lowercase__   :    List[Any]				=			args.num_workers

		lowercase__   :    Optional[Any]				=			{'''shards''': [f"""shard_{shard_idx}""" for shard_idx in range(__lowerCamelCase	)]}
		lowercase__   :    Dict				=			IterableDataset.from_generator(__lowerCamelCase						,     gen_kwargs=__lowerCamelCase	)
		if not streaming:
				lowercase__   :    int				=			Dataset.from_list(list(__lowerCamelCase	)	)

		lowercase__   :    int				=			split_dataset_by_node(__lowerCamelCase						,     rank=__lowerCamelCase						,     world_size=__lowerCamelCase	)
		lowercase__   :    Optional[Any]				=			torch.utils.data.DataLoader(__lowerCamelCase						,     num_workers=__lowerCamelCase	)

		lowercase__   :    Optional[Any]				=			NUM_SHARDS * NUM_ITEMS_PER_SHARD
		lowercase__   :    str				=			full_size // world_size
		expected_local_size += int(rank < (full_size % world_size)	)

		lowercase__   :    str				=			sum(1 for _ in dataloader	)
		if local_size != expected_local_size:
				raise FailedTestError(f"""local_size {local_size} != expected_local_size {expected_local_size}"""	)


if __name__ == "__main__":
							main()
