
import json
import os
import re
import unicodedata
from json.encoder import INFINITY
from typing import Any, Dict, List, Optional, Tuple, Union

import numpy as np
import regex

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...tokenization_utils_base import BatchEncoding
from ...utils import TensorType, is_flax_available, is_tf_available, is_torch_available, logging
from ...utils.generic import _is_jax, _is_numpy


_UpperCAmelCase      :				Dict          = logging.get_logger(__name__)

_UpperCAmelCase      :				Any          = {
    "artists_file": "artists.json",
    "lyrics_file": "lyrics.json",
    "genres_file": "genres.json",
}

_UpperCAmelCase      :				Optional[int]          = {
    "artists_file": {
        "jukebox": "https://huggingface.co/ArthurZ/jukebox/blob/main/artists.json",
    },
    "genres_file": {
        "jukebox": "https://huggingface.co/ArthurZ/jukebox/blob/main/genres.json",
    },
    "lyrics_file": {
        "jukebox": "https://huggingface.co/ArthurZ/jukebox/blob/main/lyrics.json",
    },
}

_UpperCAmelCase      :				Dict          = {
    "jukebox": 512,
}


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):
		__lowercase : Optional[Any]			  =       VOCAB_FILES_NAMES
		__lowercase : Tuple			  =       PRETRAINED_VOCAB_FILES_MAP
		__lowercase : str			  =       PRETRAINED_LYRIC_TOKENS_SIZES
		__lowercase : Union[str, Any]			  =       ["input_ids", "attention_mask"]



		def __init__(				self       ,   A_       ,   A_       ,   A_       ,   A_=["v3", "v2", "v2"]       ,   A_=512       ,   A_=5       ,   A_="<|endoftext|>"       ,   **A_       ,   )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  AddedToken(A_       ,   lstrip=A_       ,   rstrip=A_ ) if isinstance(A_       ,   A_ ) else unk_token
				super().__init__(
				    unk_token=A_       ,   n_genres=A_       ,   version=A_       ,   max_n_lyric_tokens=A_       ,   **A_       ,   )
				UpperCamelCase						=  version
				UpperCamelCase						=  max_n_lyric_tokens
				UpperCamelCase						=  n_genres

				with open(A_       ,   encoding='utf-8' ) as vocab_handle:
						UpperCamelCase						=  json.load(A_ )

				with open(A_       ,   encoding='utf-8' ) as vocab_handle:
						UpperCamelCase						=  json.load(A_ )

				with open(A_       ,   encoding='utf-8' ) as vocab_handle:
						UpperCamelCase						=  json.load(A_ )

				UpperCamelCase						=  r'[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+'
				# In v2, we had a n_vocab=80 and in v3 we missed + and so n_vocab=79 of characters.
				if len(self.lyrics_encoder ) == 79:
						UpperCamelCase						=  oov.replace(r'\-\''       ,   r'\-+\'' )

				UpperCamelCase						=  regex.compile(A_ )
				UpperCamelCase						=  {v: k for k, v in self.artists_encoder.items()}
				UpperCamelCase						=  {v: k for k, v in self.genres_encoder.items()}
				UpperCamelCase						=  {v: k for k, v in self.lyrics_encoder.items()}



		@property
		def __UpperCamelCase				(				self )						->      str:
				"""simple docstring"""
				return len(self.artists_encoder ) + len(self.genres_encoder ) + len(self.lyrics_encoder )



		def __UpperCamelCase				(				self )						->      Tuple:
				"""simple docstring"""
				return dict(self.artists_encoder       ,   self.genres_encoder       ,   self.lyrics_encoder )



		def __UpperCamelCase				(				self       ,   A_       ,   A_       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				UpperCamelCase						=  [self.artists_encoder.get(A_       ,   0 ) for artist in list_artists]
				for genres in range(len(A_ ) ):
						UpperCamelCase						=  [self.genres_encoder.get(A_       ,   0 ) for genre in list_genres[genres]]
						UpperCamelCase						=  list_genres[genres] + [-1] * (self.n_genres - len(list_genres[genres] ))

				UpperCamelCase						=  [[self.lyrics_encoder.get(A_       ,   0 ) for character in list_lyrics[0]], [], []]
				return artists_id, list_genres, lyric_ids



		def __UpperCamelCase				(				self       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				return list(A_ )



		def __UpperCamelCase				(				self       ,   A_       ,   A_       ,   A_       ,   **A_ )						->      Optional[int]:
				"""simple docstring"""
				UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  self.prepare_for_tokenization(A_       ,   A_       ,   A_ )
				UpperCamelCase						=  self._tokenize(A_ )
				return artist, genre, lyrics



		def __UpperCamelCase				(				self       ,   A_       ,   A_       ,   A_       ,   A_ = False )						->      Tuple[str, str, str, Dict[str, Any]]:
				"""simple docstring"""
				for idx in range(len(self.version ) ):
						if self.version[idx] == "v3":
								UpperCamelCase						=  artists[idx].lower()
								UpperCamelCase						=  [genres[idx].lower()]
						else:
								UpperCamelCase						=  self._normalize(artists[idx] ) + '.v2'
								UpperCamelCase						=  [
								    self._normalize(A_ ) + '.v2' for genre in genres[idx].split('_' )
								]  # split is for the full dictionary with combined genres

				if self.version[0] == "v2":
						UpperCamelCase						=  regex.compile(r'[^A-Za-z0-9.,:;!?\-\'\"()\[\] \t\n]+' )
						UpperCamelCase						=  'ABCDEFGHIJKLMNOPQRSTUVWXYZabcdefghijklmnopqrstuvwxyz0123456789.,:;!?-+\'\"()[] \t\n'
						UpperCamelCase						=  {vocab[index]: index + 1 for index in range(len(A_ ) )}
						UpperCamelCase						=  0
						UpperCamelCase						=  len(A_ ) + 1
						UpperCamelCase						=  self.vocab
						UpperCamelCase						=  {v: k for k, v in self.vocab.items()}
						UpperCamelCase						=  ''
				else:
						UpperCamelCase						=  regex.compile(r'[^A-Za-z0-9.,:;!?\-+\'\"()\[\] \t\n]+' )

				UpperCamelCase						=  self._run_strip_accents(A_ )
				UpperCamelCase						=  lyrics.replace('\\'       ,   '\n' )
				UpperCamelCase						=  self.out_of_vocab.sub(''       ,   A_ ), [], []
				return artists, genres, lyrics



		def __UpperCamelCase				(				self       ,   A_ )						->      Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase						=  unicodedata.normalize('NFD'       ,   A_ )
				UpperCamelCase						=  []
				for char in text:
						UpperCamelCase						=  unicodedata.category(A_ )
						if cat == "Mn":
								continue
						output.append(A_ )
				return "".join(A_ )



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  (
				    [chr(A_ ) for i in range(ord('a' )       ,   ord('z' ) + 1 )]
				    + [chr(A_ ) for i in range(ord('A' )       ,   ord('Z' ) + 1 )]
				    + [chr(A_ ) for i in range(ord('0' )       ,   ord('9' ) + 1 )]
				    + ['.']
				)
				UpperCamelCase						=  frozenset(A_ )
				UpperCamelCase						=  re.compile(r'_+' )
				UpperCamelCase						=  ''.join([c if c in accepted else '_' for c in text.lower()] )
				UpperCamelCase						=  pattern.sub('_'       ,   A_ ).strip('_' )
				return text



		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				return " ".join(A_ )



		def __UpperCamelCase				(				self       ,   A_       ,   A_ = None       ,   A_ = False )						->      Optional[int]:
				"""simple docstring"""
				# Convert to TensorType
				if not isinstance(A_       ,   A_ ):
						UpperCamelCase						=  TensorType(A_ )

				# Get a function reference for the correct framework
				if tensor_type == TensorType.TENSORFLOW:
						if not is_tf_available():
								raise ImportError(
								    'Unable to convert output to TensorFlow tensors format, TensorFlow is not installed.' )
						import tensorflow as tf

						UpperCamelCase						=  tf.constant
						UpperCamelCase						=  tf.is_tensor
				elif tensor_type == TensorType.PYTORCH:
						if not is_torch_available():
								raise ImportError('Unable to convert output to PyTorch tensors format, PyTorch is not installed.' )
						import torch

						UpperCamelCase						=  torch.tensor
						UpperCamelCase						=  torch.is_tensor
				elif tensor_type == TensorType.JAX:
						if not is_flax_available():
								raise ImportError('Unable to convert output to JAX tensors format, JAX is not installed.' )
						import jax.numpy as jnp  # noqa: F811

						UpperCamelCase						=  jnp.array
						UpperCamelCase						=  _is_jax
				else:
						UpperCamelCase						=  np.asarray
						UpperCamelCase						=  _is_numpy

				# Do the tensor conversion in batch

				try:
						if prepend_batch_axis:
								UpperCamelCase						=  [inputs]

						if not is_tensor(A_ ):
								UpperCamelCase						=  as_tensor(A_ )
				except:  # noqa E722
						raise ValueError(
						    'Unable to create tensor, you should probably activate truncation and/or padding '
						    'with \'padding=True\' \'truncation=True\' to have batched tensors with the same length.' )

				return inputs



		def __call__(				self       ,   A_       ,   A_       ,   A_=""       ,   A_="pt" )						->      BatchEncoding:
				"""simple docstring"""
				UpperCamelCase						=  [0, 0, 0]
				UpperCamelCase						=  [artist] * len(self.version )
				UpperCamelCase						=  [genres] * len(self.version )

				UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  self.tokenize(A_       ,   A_       ,   A_ )
				UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  self._convert_token_to_id(A_       ,   A_       ,   A_ )

				UpperCamelCase						=  [-INFINITY] * len(full_tokens[-1] )
				UpperCamelCase						=  [
				    self.convert_to_tensors(
				        [input_ids + [artists_id[i]] + genres_ids[i] + full_tokens[i]]       ,   tensor_type=A_ )
				    for i in range(len(self.version ) )
				]
				return BatchEncoding({'input_ids': input_ids, 'attention_masks': attention_masks} )



		def __UpperCamelCase				(				self       ,   A_       ,   A_ = None )						->      Tuple[str]:
				"""simple docstring"""
				if not os.path.isdir(A_ ):
						logger.error(F'''Vocabulary path ({save_directory}) should be a directory''' )
						return

				UpperCamelCase						=  os.path.join(
				    A_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['artists_file'] )
				with open(A_       ,   'w'       ,   encoding='utf-8' ) as f:
						f.write(json.dumps(self.artists_encoder       ,   ensure_ascii=A_ ) )

				UpperCamelCase						=  os.path.join(
				    A_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['genres_file'] )
				with open(A_       ,   'w'       ,   encoding='utf-8' ) as f:
						f.write(json.dumps(self.genres_encoder       ,   ensure_ascii=A_ ) )

				UpperCamelCase						=  os.path.join(
				    A_       ,   (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['lyrics_file'] )
				with open(A_       ,   'w'       ,   encoding='utf-8' ) as f:
						f.write(json.dumps(self.lyrics_encoder       ,   ensure_ascii=A_ ) )

				return (artists_file, genres_file, lyrics_file)



		def __UpperCamelCase				(				self       ,   A_       ,   A_       ,   A_ )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  self.artists_decoder.get(A_ )
				UpperCamelCase						=  [self.genres_decoder.get(A_ ) for genre in genres_index]
				UpperCamelCase						=  [self.lyrics_decoder.get(A_ ) for character in lyric_index]
				return artist, genres, lyrics


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


class        lowercase      (	_SCREAMING_SNAKE_CASE     ):



		def __init__(				self )						->      Optional[Any]:
				"""simple docstring"""
				# test for the above condition
				self.test()



		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				UpperCamelCase						=  0
				UpperCamelCase						=  False
				while not completed:
						if counter == 1:
								self.reset()
						UpperCamelCase						=  self.advance()
						if not self.does_advance(A_ ):
								raise Exception(
								    'Custom Constraint is not defined correctly. self.does_advance(self.advance()) must be true.' )

						UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  self.update(A_ )
						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 )						->      Optional[Any]:
				"""simple docstring"""
				raise NotImplementedError(
				    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )



		@abstractmethod
		def __UpperCamelCase				(				self       ,   A_ )						->      str:
				"""simple docstring"""
				raise NotImplementedError(
				    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )



		@abstractmethod
		def __UpperCamelCase				(				self       ,   A_ )						->      int:
				"""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 )						->      str:
				"""simple docstring"""
				raise NotImplementedError(
				    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )



		@abstractmethod
		def __UpperCamelCase				(				self       ,   A_=False )						->      int:
				"""simple docstring"""
				raise NotImplementedError(
				    F'''{self.__class__} is an abstract class. Only classes inheriting this class can be called.''' )






class        lowercase      (	_SCREAMING_SNAKE_CASE     ):



		def __init__(				self       ,   A_ )						->      Any:
				"""simple docstring"""
				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}.''' )

				UpperCamelCase						=  token_ids

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



		def __UpperCamelCase				(				self )						->      Optional[Any]:
				"""simple docstring"""
				if self.completed:
						return None
				return self.token_ids[self.fulfilled_idx + 1]



		def __UpperCamelCase				(				self       ,   A_ )						->      Optional[int]:
				"""simple docstring"""
				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 __UpperCamelCase				(				self       ,   A_ )						->      Optional[int]:
				"""simple docstring"""
				if not isinstance(A_       ,   A_ ):
						raise ValueError(F'''`token_id` has to be an `int`, but is {token_id} of type {type(A_ )}''' )

				UpperCamelCase						=  False
				UpperCamelCase						=  False
				UpperCamelCase						=  False

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



		def __UpperCamelCase				(				self )						->      Dict:
				"""simple docstring"""
				UpperCamelCase						=  False
				UpperCamelCase						=  0



		def __UpperCamelCase				(				self )						->      int:
				"""simple docstring"""
				return self.seqlen - (self.fulfilled_idx + 1)



		def __UpperCamelCase				(				self       ,   A_=False )						->      Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase						=  PhrasalConstraint(self.token_ids )

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

				return new_constraint






class        lowercase      :



		def __init__(				self       ,   A_       ,   A_=True )						->      List[Any]:
				"""simple docstring"""
				UpperCamelCase						=  max([len(A_ ) for one in nested_token_ids] )

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

								UpperCamelCase						=  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}.''' )

				UpperCamelCase						=  root



		def __UpperCamelCase				(				self       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				UpperCamelCase						=  self.trie

				for current_token in current_seq:
						UpperCamelCase						=  start[current_token]

				UpperCamelCase						=  list(start.keys() )

				return next_tokens



		def __UpperCamelCase				(				self       ,   A_ )						->      Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase						=  self.next_tokens(A_ )

				return len(A_ ) == 0



		def __UpperCamelCase				(				self       ,   A_ )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  list(root.values() )
				if len(A_ ) == 0:
						return 1
				else:
						return sum([self.count_leaves(A_ ) for nn in next_nodes] )



		def __UpperCamelCase				(				self       ,   A_       ,   A_ )						->      Optional[int]:
				"""simple docstring"""
				UpperCamelCase						=  self.count_leaves(A_ )
				return len(A_ ) != leaf_count






class        lowercase      (	_SCREAMING_SNAKE_CASE     ):



		def __init__(				self       ,   A_ )						->      str:
				"""simple docstring"""
				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}.''' )

				UpperCamelCase						=  DisjunctiveTrie(A_ )
				UpperCamelCase						=  nested_token_ids

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



		def __UpperCamelCase				(				self )						->      Union[str, Any]:
				"""simple docstring"""
				UpperCamelCase						=  self.trie.next_tokens(self.current_seq )

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



		def __UpperCamelCase				(				self       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				if not isinstance(A_       ,   A_ ):
						raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(A_ )}''' )

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

				return token_id in next_tokens



		def __UpperCamelCase				(				self       ,   A_ )						->      Optional[Any]:
				"""simple docstring"""
				if not isinstance(A_       ,   A_ ):
						raise ValueError(F'''`token_id` is supposed to be type `int`, but is {token_id} of type {type(A_ )}''' )

				UpperCamelCase						=  False
				UpperCamelCase						=  False
				UpperCamelCase						=  False

				if self.does_advance(A_ ):
						self.current_seq.append(A_ )
						UpperCamelCase						=  True
				else:
						UpperCamelCase						=  True
						self.reset()

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

				return stepped, completed, reset



		def __UpperCamelCase				(				self )						->      str:
				"""simple docstring"""
				UpperCamelCase						=  False
				UpperCamelCase						=  []



		def __UpperCamelCase				(				self )						->      Optional[int]:
				"""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       ,   A_=False )						->      int:
				"""simple docstring"""
				UpperCamelCase						=  DisjunctiveConstraint(self.token_ids )

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

				return new_constraint






class        lowercase      :



		def __init__(				self       ,   A_ )						->      Tuple:
				"""simple docstring"""
				UpperCamelCase						=  constraints

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

				self.init_state()



		def __UpperCamelCase				(				self )						->      List[str]:
				"""simple docstring"""
				UpperCamelCase						=  []
				UpperCamelCase						=  None
				UpperCamelCase						=  [constraint.copy(stateful=A_ ) for constraint in self.constraints]



		def __UpperCamelCase				(				self )						->      Optional[int]:
				"""simple docstring"""
				UpperCamelCase						=  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 )						->      Optional[int]:
				"""simple docstring"""
				UpperCamelCase						=  []
				if self.inprogress_constraint is None:
						for constraint in self.pending_constraints:  # "pending" == "unfulfilled yet"
								UpperCamelCase						=  constraint.advance()
								if isinstance(A_       ,   A_ ):
										token_list.append(A_ )
								elif isinstance(A_       ,   A_ ):
										token_list.extend(A_ )
				else:
						UpperCamelCase						=  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 __UpperCamelCase				(				self       ,   A_ )						->      Any:
				"""simple docstring"""
				self.init_state()

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

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



		def __UpperCamelCase				(				self       ,   A_ )						->      int:
				"""simple docstring"""
				if not isinstance(A_       ,   A_ ):
						raise ValueError(F'''`token_id` should be an `int`, but is `{token_id}`.''' )

				UpperCamelCase			,						UpperCamelCase						=  False, False

				if self.completed:
						UpperCamelCase						=  True
						UpperCamelCase						=  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

						UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  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_ ) )
								UpperCamelCase						=  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 )
								UpperCamelCase						=  None

								if len(self.pending_constraints ) == 0:
										# we're done!
										UpperCamelCase						=  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_ ):
										UpperCamelCase			,						UpperCamelCase			,						UpperCamelCase						=  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_ )
												UpperCamelCase						=  None

										if not complete and stepped:
												UpperCamelCase						=  pending_constraint

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

												UpperCamelCase						=  (
												    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.

														UpperCamelCase						=  True

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

				return complete, stepped



		def __UpperCamelCase				(				self       ,   A_=True )						->      Tuple:
				"""simple docstring"""
				UpperCamelCase						=  ConstraintListState(self.constraints )  # we actually never though self.constraints objects
				# throughout this process. So it's at initialization state.

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

				return new_state
