






import json
import os
from functools import lru_cache
from typing import Dict, List, Optional, Tuple, Union

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding, EncodedInput
from ...utils import PaddingStrategy, logging


A        =			logging.get_logger(__name__)


A        =			{'vocab_file': 'vocab.json', 'merges_file': 'merges.txt'}

# See all LED models at https://huggingface.co/models?filter=LED
A        =			{
    'vocab_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/vocab.json',
    },
    'merges_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/merges.txt',
    },
    'tokenizer_file': {
        'allenai/led-base-16384': 'https://huggingface.co/allenai/led-base-16384/resolve/main/tokenizer.json',
    },
}

A        =			{
    'allenai/led-base-16384': 1_6384,
}



@lru_cache()
# Copied from transformers.models.bart.tokenization_bart.bytes_to_unicode
def 					_lowerCamelCase(			):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	Any													=   (
				    list(range(ord('!'      )    ,    ord('~'      ) + 1      )      ) + list(range(ord('¡'      )    ,    ord('¬'      ) + 1      )      ) + list(range(ord('®'      )    ,    ord('ÿ'      ) + 1      )      )
				)
				SCREAMING_SNAKE_CASE_   :	Optional[int]													=   bs[:]
				SCREAMING_SNAKE_CASE_   :	str													=   0
				for b in range(2**8      ):
								if b not in bs:
												bs.append(lowerCAmelCase__      )
												cs.append(2**8 + n      )
												n += 1
				SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   [chr(lowerCAmelCase__      ) for n in cs]
				return dict(zip(lowerCAmelCase__    ,    lowerCAmelCase__      )      )



def 					_lowerCamelCase(			lowerCAmelCase__				:		int      ):





				'''simple docstring'''







				SCREAMING_SNAKE_CASE_   :	List[str]													=   set()
				SCREAMING_SNAKE_CASE_   :	Any													=   word[0]
				for char in word[1:]:
								pairs.add((prev_char, char)      )
								SCREAMING_SNAKE_CASE_   :	Any													=   char
				return pairs


class 							__a							(  __A						):





		'''simple docstring'''



		UpperCAmelCase__      :				str				    =						VOCAB_FILES_NAMES
		UpperCAmelCase__      :				str				    =						PRETRAINED_VOCAB_FILES_MAP
		UpperCAmelCase__      :				List[Any]				    =						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
		UpperCAmelCase__      :				Any				    =						["""input_ids""", """attention_mask"""]


		def __init__(						self ,    UpperCamelCase__ ,    UpperCamelCase__ ,    UpperCamelCase__="replace" ,    UpperCamelCase__="<s>" ,    UpperCamelCase__="</s>" ,    UpperCamelCase__="</s>" ,    UpperCamelCase__="<s>" ,    UpperCamelCase__="<unk>" ,    UpperCamelCase__="<pad>" ,    UpperCamelCase__="<mask>" ,    UpperCamelCase__=False ,    **UpperCamelCase__ ,    ):
						SCREAMING_SNAKE_CASE_   :	Any													=   AddedToken(UpperCamelCase__ ,    lstrip=UpperCamelCase__ ,    rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ) else bos_token
						SCREAMING_SNAKE_CASE_   :	Any													=   AddedToken(UpperCamelCase__ ,    lstrip=UpperCamelCase__ ,    rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ) else eos_token
						SCREAMING_SNAKE_CASE_   :	Tuple													=   AddedToken(UpperCamelCase__ ,    lstrip=UpperCamelCase__ ,    rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ) else sep_token
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   AddedToken(UpperCamelCase__ ,    lstrip=UpperCamelCase__ ,    rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ) else cls_token
						SCREAMING_SNAKE_CASE_   :	int													=   AddedToken(UpperCamelCase__ ,    lstrip=UpperCamelCase__ ,    rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ) else unk_token
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   AddedToken(UpperCamelCase__ ,    lstrip=UpperCamelCase__ ,    rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ) else pad_token

						# Mask token behave like a normal word, i.e. include the space before it
						SCREAMING_SNAKE_CASE_   :	str													=   AddedToken(UpperCamelCase__ ,    lstrip=UpperCamelCase__ ,    rstrip=UpperCamelCase__       ) if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ) else mask_token

						super().__init__(
						    errors=UpperCamelCase__ ,    bos_token=UpperCamelCase__ ,    eos_token=UpperCamelCase__ ,    unk_token=UpperCamelCase__ ,    sep_token=UpperCamelCase__ ,    cls_token=UpperCamelCase__ ,    pad_token=UpperCamelCase__ ,    mask_token=UpperCamelCase__ ,    add_prefix_space=UpperCamelCase__ ,    **UpperCamelCase__ ,    )

						with open(UpperCamelCase__ ,    encoding='utf-8'       ) as vocab_handle:
										SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   json.load(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	List[str]													=   {v: k for k, v in self.encoder.items()}
						SCREAMING_SNAKE_CASE_   :	str													=   errors  # how to handle errors in decoding
						SCREAMING_SNAKE_CASE_   :	int													=   bytes_to_unicode()
						SCREAMING_SNAKE_CASE_   :	Tuple													=   {v: k for k, v in self.byte_encoder.items()}
						with open(UpperCamelCase__ ,    encoding='utf-8'       ) as merges_handle:
										SCREAMING_SNAKE_CASE_   :	List[str]													=   merges_handle.read().split('\n'       )[1:-1]
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   [tuple(merge.split()       ) for merge in bpe_merges]
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   dict(zip(UpperCamelCase__ ,    range(len(UpperCamelCase__       )       )       )       )
						SCREAMING_SNAKE_CASE_   :	Dict													=   {}
						SCREAMING_SNAKE_CASE_   :	int													=   add_prefix_space

						# Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   re.compile(R'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'       )


		@property
		# Copied from transformers.models.bart.tokenization_bart.BartTokenizer.vocab_size
		def   __snake_case			(						self       ):
						return len(self.encoder       )


		def   __snake_case			(						self       ):
						return dict(self.encoder ,    **self.added_tokens_encoder       )


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						if token in self.cache:
										return self.cache[token]
						SCREAMING_SNAKE_CASE_   :	Any													=   tuple(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	List[str]													=   get_pairs(UpperCamelCase__       )

						if not pairs:
										return token

						while True:
										SCREAMING_SNAKE_CASE_   :	List[Any]													=   min(UpperCamelCase__ ,    key=lambda UpperCamelCase__       : self.bpe_ranks.get(UpperCamelCase__ ,    float('inf'       )       )       )
										if bigram not in self.bpe_ranks:
														break
										SCREAMING_SNAKE_CASE_   :	Optional[int]													=   bigram
										SCREAMING_SNAKE_CASE_   :	Any													=   []
										SCREAMING_SNAKE_CASE_   :	Optional[int]													=   0
										while i < len(UpperCamelCase__       ):
														try:
																		SCREAMING_SNAKE_CASE_   :	int													=   word.index(UpperCamelCase__ ,    UpperCamelCase__       )
														except ValueError:
																		new_word.extend(word[i:]       )
																		break
														else:
																		new_word.extend(word[i:j]       )
																		SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   j

														if word[i] == first and i < len(UpperCamelCase__       ) - 1 and word[i + 1] == second:
																		new_word.append(first + second       )
																		i += 2
														else:
																		new_word.append(word[i]       )
																		i += 1
										SCREAMING_SNAKE_CASE_   :	List[Any]													=   tuple(UpperCamelCase__       )
										SCREAMING_SNAKE_CASE_   :	Optional[int]													=   new_word
										if len(UpperCamelCase__       ) == 1:
														break
										else:
														SCREAMING_SNAKE_CASE_   :	List[Any]													=   get_pairs(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   ' '.join(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	Dict													=   word
						return word


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   []
						for token in re.findall(self.pat ,    UpperCamelCase__       ):
										SCREAMING_SNAKE_CASE_   :	Any													=   ''.join(
										    self.byte_encoder[b] for b in token.encode('utf-8'       )       )  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
										bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase__       ).split(' '       )       )
						return bpe_tokens


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						return self.encoder.get(UpperCamelCase__ ,    self.encoder.get(self.unk_token       )       )


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						return self.decoder.get(UpperCamelCase__       )


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	int													=   ''.join(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	List[str]													=   bytearray([self.byte_decoder[c] for c in text]       ).decode('utf-8' ,    errors=self.errors       )
						return text


		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__ = None       ):
						if not os.path.isdir(UpperCamelCase__       ):
										logger.error(F'''Vocabulary path ({save_directory}) should be a directory'''       )
										return
						SCREAMING_SNAKE_CASE_   :	Any													=   os.path.join(
						    UpperCamelCase__ ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']       )
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   os.path.join(
						    UpperCamelCase__ ,    (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']       )

						with open(UpperCamelCase__ ,    'w' ,    encoding='utf-8'       ) as f:
										f.write(json.dumps(self.encoder ,    indent=2 ,    sort_keys=UpperCamelCase__ ,    ensure_ascii=UpperCamelCase__       ) + '\n'       )

						SCREAMING_SNAKE_CASE_   :	List[str]													=   0
						with open(UpperCamelCase__ ,    'w' ,    encoding='utf-8'       ) as writer:
										writer.write('#version: 0.2\n'       )
										for bpe_tokens, token_index in sorted(self.bpe_ranks.items() ,    key=lambda UpperCamelCase__       : kv[1]       ):
														if index != token_index:
																		logger.warning(
																		    F'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
																		    ' Please check that the tokenizer is not corrupted!'       )
																		SCREAMING_SNAKE_CASE_   :	Optional[int]													=   token_index
														writer.write(' '.join(UpperCamelCase__       ) + '\n'       )
														index += 1

						return vocab_file, merge_file


		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__ = None       ):
						if token_ids_a is None:
										return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
						SCREAMING_SNAKE_CASE_   :	Tuple													=   [self.cls_token_id]
						SCREAMING_SNAKE_CASE_   :	List[str]													=   [self.sep_token_id]
						return cls + token_ids_a + sep + sep + token_ids_a + sep


		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__ = None ,    UpperCamelCase__ = False       ):
						if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=UpperCamelCase__ ,    token_ids_a=UpperCamelCase__ ,    already_has_special_tokens=UpperCamelCase__       )

						if token_ids_a is None:
										return [1] + ([0] * len(UpperCamelCase__       )) + [1]
						return [1] + ([0] * len(UpperCamelCase__       )) + [1, 1] + ([0] * len(UpperCamelCase__       )) + [1]


		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__ = None       ):
						SCREAMING_SNAKE_CASE_   :	Any													=   [self.sep_token_id]
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   [self.cls_token_id]

						if token_ids_a is None:
										return len(cls + token_ids_a + sep       ) * [0]
						return len(cls + token_ids_a + sep + sep + token_ids_a + sep       ) * [0]


		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__=False ,    **UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   kwargs.pop('add_prefix_space' ,    self.add_prefix_space       )
						if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase__       ) > 0 and not text[0].isspace()):
										SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   ' ' + text
						return (text, kwargs)






		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__ = None ,    UpperCamelCase__ = PaddingStrategy.DO_NOT_PAD ,    UpperCamelCase__ = None ,    UpperCamelCase__ = None ,    ):
						SCREAMING_SNAKE_CASE_   :	Tuple													=   super()._pad(
						    encoded_inputs=UpperCamelCase__ ,    max_length=UpperCamelCase__ ,    padding_strategy=UpperCamelCase__ ,    pad_to_multiple_of=UpperCamelCase__ ,    return_attention_mask=UpperCamelCase__ ,    )

						# Load from model defaults
						if return_attention_mask is None:
										SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   'attention_mask' in self.model_input_names

						if return_attention_mask and "global_attention_mask" in encoded_inputs:
										SCREAMING_SNAKE_CASE_   :	List[Any]													=   encoded_inputs[self.model_input_names[0]]
										# `global_attention_mask` need to have the same length as other (sequential) inputs.
										SCREAMING_SNAKE_CASE_   :	Any													=   len(encoded_inputs['global_attention_mask']       ) != len(UpperCamelCase__       )

										if needs_to_be_padded:
														SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   len(UpperCamelCase__       ) - len(encoded_inputs['global_attention_mask']       )

														if self.padding_side == "right":
																		# Use `-1` since `0` in `global_attention_mask` means `local attention` instead of `not to attend`
																		SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   (
																		    encoded_inputs['global_attention_mask'] + [-1] * difference
																		)
														elif self.padding_side == "left":
																		SCREAMING_SNAKE_CASE_   :	str													=   [-1] * difference + encoded_inputs[
																		    'global_attention_mask'
																		]
														else:
																		raise ValueError('Invalid padding strategy:' + str(self.padding_side       )       )

						return encoded_inputs







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


class 							__a							(  __A						):





		'''simple docstring'''



		def __init__(						self       ):
						# test for the above condition
						self.test()


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	Tuple													=   0
						SCREAMING_SNAKE_CASE_   :	Dict													=   False
						while not completed:
										if counter == 1:
														self.reset()
										SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   self.advance()
										if not self.does_advance(UpperCamelCase__       ):
														raise Exception(
														    'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.'       )

										SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_   :	Any													=   self.update(UpperCamelCase__       )
										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   __snake_case			(						self       ):
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''       )


		@abstractmethod
		def   __snake_case			(						self ,    UpperCamelCase__       ):
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''       )


		@abstractmethod
		def   __snake_case			(						self ,    UpperCamelCase__       ):
						raise NotImplementedError(
						    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.'''       )


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


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






		@abstractmethod
		def   __snake_case			(						self ,    UpperCamelCase__=False       ):
						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 ,    UpperCamelCase__       ):
						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}.'''       )

						SCREAMING_SNAKE_CASE_   :	List[str]													=   token_ids

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


		def   __snake_case			(						self       ):
						if self.completed:
										return None
						return self.token_ids[self.fulfilled_idx + 1]


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

						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   False
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   False
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   False

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


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   False
						SCREAMING_SNAKE_CASE_   :	List[str]													=   0


		def   __snake_case			(						self       ):
						return self.seqlen - (self.fulfilled_idx + 1)






		def   __snake_case			(						self ,    UpperCamelCase__=False       ):
						SCREAMING_SNAKE_CASE_   :	str													=   PhrasalConstraint(self.token_ids       )

						if stateful:
										SCREAMING_SNAKE_CASE_   :	List[Any]													=   self.seqlen
										SCREAMING_SNAKE_CASE_   :	Any													=   self.fulfilled_idx
										SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   self.completed

						return new_constraint






class 							__a							:





		'''simple docstring'''



		def __init__(						self ,    UpperCamelCase__ ,    UpperCamelCase__=True       ):
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   max([len(UpperCamelCase__       ) for one in nested_token_ids]       )

						SCREAMING_SNAKE_CASE_   :	List[Any]													=   {}
						for token_ids in nested_token_ids:
										SCREAMING_SNAKE_CASE_   :	Dict													=   root
										for tidx, token_id in enumerate(UpperCamelCase__       ):
														if token_id not in level:
																		SCREAMING_SNAKE_CASE_   :	Tuple													=   {}

														SCREAMING_SNAKE_CASE_   :	List[str]													=   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}.'''       )

						SCREAMING_SNAKE_CASE_   :	Tuple													=   root


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	int													=   self.trie

						for current_token in current_seq:
										SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   start[current_token]

						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   list(start.keys()       )

						return next_tokens


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   self.next_tokens(UpperCamelCase__       )

						return len(UpperCamelCase__       ) == 0


		def   __snake_case			(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	List[str]													=   list(root.values()       )
						if len(UpperCamelCase__       ) == 0:
										return 1
						else:
										return sum([self.count_leaves(UpperCamelCase__       ) for nn in next_nodes]       )






		def   __snake_case			(						self ,    UpperCamelCase__ ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	Dict													=   self.count_leaves(UpperCamelCase__       )
						return len(UpperCamelCase__       ) != leaf_count






class 							__a							(  __A						):





		'''simple docstring'''



		def __init__(						self ,    UpperCamelCase__       ):
						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}.'''       )

						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   DisjunctiveTrie(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	Dict													=   nested_token_ids

						SCREAMING_SNAKE_CASE_   :	List[str]													=   self.trie.max_height
						SCREAMING_SNAKE_CASE_   :	str													=   []
						SCREAMING_SNAKE_CASE_   :	List[str]													=   False


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	List[str]													=   self.trie.next_tokens(self.current_seq       )

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


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

						SCREAMING_SNAKE_CASE_   :	str													=   self.trie.next_tokens(self.current_seq       )

						return token_id in next_tokens


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

						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   False
						SCREAMING_SNAKE_CASE_   :	Tuple													=   False
						SCREAMING_SNAKE_CASE_   :	Dict													=   False

						if self.does_advance(UpperCamelCase__       ):
										self.current_seq.append(UpperCamelCase__       )
										SCREAMING_SNAKE_CASE_   :	int													=   True
						else:
										SCREAMING_SNAKE_CASE_   :	Tuple													=   True
										self.reset()

						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   self.trie.reached_leaf(self.current_seq       )
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   completed

						return stepped, completed, reset


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   False
						SCREAMING_SNAKE_CASE_   :	Dict													=   []


		def   __snake_case			(						self       ):
						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       ):
						SCREAMING_SNAKE_CASE_   :	Any													=   DisjunctiveConstraint(self.token_ids       )

						if stateful:
										SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   self.seqlen
										SCREAMING_SNAKE_CASE_   :	Optional[int]													=   self.current_seq
										SCREAMING_SNAKE_CASE_   :	List[str]													=   self.completed

						return new_constraint






class 							__a							:





		'''simple docstring'''



		def __init__(						self ,    UpperCamelCase__       ):
						SCREAMING_SNAKE_CASE_   :	Any													=   constraints

						# max # of steps required to fulfill a given constraint
						SCREAMING_SNAKE_CASE_   :	Dict													=   max([c.seqlen for c in constraints]       )
						SCREAMING_SNAKE_CASE_   :	Tuple													=   len(UpperCamelCase__       )
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   False

						self.init_state()


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	List[Any]													=   []
						SCREAMING_SNAKE_CASE_   :	int													=   None
						SCREAMING_SNAKE_CASE_   :	Optional[int]													=   [constraint.copy(stateful=UpperCamelCase__       ) for constraint in self.constraints]


		def   __snake_case			(						self       ):
						SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   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       ):
						SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   []
						if self.inprogress_constraint is None:
										for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
														SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   constraint.advance()
														if isinstance(UpperCamelCase__ ,    UpperCamelCase__       ):
																		token_list.append(UpperCamelCase__       )
														elif isinstance(UpperCamelCase__ ,    UpperCamelCase__       ):
																		token_list.extend(UpperCamelCase__       )
						else:
										SCREAMING_SNAKE_CASE_   :	List[str]													=   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   __snake_case			(						self ,    UpperCamelCase__       ):
						self.init_state()

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

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


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

						SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_   :	Dict													=   False, False

						if self.completed:
										SCREAMING_SNAKE_CASE_   :	Union[str, Any]													=   True
										SCREAMING_SNAKE_CASE_   :	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

										SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_   :	Dict													=   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__       )       )
														SCREAMING_SNAKE_CASE_   :	Dict													=   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       )
														SCREAMING_SNAKE_CASE_   :	str													=   None

														if len(self.pending_constraints       ) == 0:
																		# we're done!
																		SCREAMING_SNAKE_CASE_   :	Tuple													=   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__       ):
																		SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_							,       SCREAMING_SNAKE_CASE_   :	Dict													=   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__       )
																						SCREAMING_SNAKE_CASE_   :	List[str]													=   None

																		if not complete and stepped:
																						SCREAMING_SNAKE_CASE_   :	List[str]													=   pending_constraint

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

																						SCREAMING_SNAKE_CASE_   :	Any													=   (
																						    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.

																										SCREAMING_SNAKE_CASE_   :	Dict													=   True

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

						return complete, stepped






		def   __snake_case			(						self ,    UpperCamelCase__=True       ):
						SCREAMING_SNAKE_CASE_   :	Tuple													=   ConstraintListState(self.constraints       )  # we actually never though self.constraints objects
						# throughout this process. So it's at initialization state.

						if stateful:
										SCREAMING_SNAKE_CASE_   :	List[str]													=   [
										    constraint.copy(stateful=UpperCamelCase__       ) for constraint in self.complete_constraints
										]
										if self.inprogress_constraint is not None:
														SCREAMING_SNAKE_CASE_   :	List[Any]													=   self.inprogress_constraint.copy(stateful=UpperCamelCase__       )
										SCREAMING_SNAKE_CASE_   :	Optional[Any]													=   [constraint.copy() for constraint in self.pending_constraints]

						return new_state