



'''simple docstring'''





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


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       def __init__(     self):

             """simple docstring"""





             self.test()



       def  A_   (     self):

             """simple docstring"""





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

                   UpperCAmelCase_  :	Tuple				      =		self.update(lowercase)
                   counter += 1

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

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



       @abstractmethod
       def  A_   (     self):

             """simple docstring"""





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



       @abstractmethod
       def  A_   (     self     ,lowercase):

             """simple docstring"""





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



       @abstractmethod
       def  A_   (     self     ,lowercase):

             """simple docstring"""





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



       @abstractmethod
       def  A_   (     self):

             """simple docstring"""





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



       @abstractmethod
       def  A_   (     self):

             """simple docstring"""





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



       @abstractmethod
       def  A_   (     self     ,lowercase=False):

             """simple docstring"""





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


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       def __init__(     self     ,lowercase):

             """simple docstring"""





             super(lowercase     ,self).__init__()

             if not isinstance(lowercase     ,lowercase) or len(lowercase) == 0:
                   raise ValueError(F"""`token_ids` has to be a non-empty list, but is {token_ids}.""")
             if any((not isinstance(lowercase     ,lowercase) or token_id < 0) for token_id in token_ids):
                   raise ValueError(F"""Each list in `token_ids` has to be a list of positive integers, but is {token_ids}.""")

             UpperCAmelCase_  :	str				      =		token_ids

             UpperCAmelCase_  :	Union[str, Any]				      =		len(self.token_ids)
             UpperCAmelCase_  :	str				      =		-1  # the index of the currently fulfilled step
             UpperCAmelCase_  :	str				      =		False



       def  A_   (     self):

             """simple docstring"""





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



       def  A_   (     self     ,lowercase):

             """simple docstring"""





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

             if self.completed:
                   return False

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



       def  A_   (     self     ,lowercase):

             """simple docstring"""





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

             UpperCAmelCase_  :	List[Any]				      =		False
             UpperCAmelCase_  :	List[Any]				      =		False
             UpperCAmelCase_  :	Dict				      =		False

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



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	List[Any]				      =		False
             UpperCAmelCase_  :	Optional[int]				      =		0



       def  A_   (     self):

             """simple docstring"""





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



       def  A_   (     self     ,lowercase=False):

             """simple docstring"""





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

             if stateful:
                   UpperCAmelCase_  :	Tuple				      =		self.seqlen
                   UpperCAmelCase_  :	Any				      =		self.fulfilled_idx
                   UpperCAmelCase_  :	Optional[int]				      =		self.completed

             return new_constraint


class   snake_case_ :




       """simple docstring"""






       def __init__(     self     ,lowercase     ,lowercase=True):

             """simple docstring"""





             UpperCAmelCase_  :	Optional[Any]				      =		max([len(lowercase) for one in nested_token_ids])

             UpperCAmelCase_  :	Tuple				      =		{}
             for token_ids in nested_token_ids:
                   UpperCAmelCase_  :	Optional[int]				      =		root
                   for tidx, token_id in enumerate(lowercase):
                         if token_id not in level:
                               UpperCAmelCase_  :	int				      =		{}

                         UpperCAmelCase_  :	int				      =		level[token_id]

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

             UpperCAmelCase_  :	Optional[int]				      =		root



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Tuple				      =		self.trie

             for current_token in current_seq:
                   UpperCAmelCase_  :	Union[str, Any]				      =		start[current_token]

             UpperCAmelCase_  :	str				      =		list(start.keys())

             return next_tokens



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	Any				      =		self.next_tokens(lowercase)

             return len(lowercase) == 0



       def  A_   (     self     ,lowercase):

             """simple docstring"""





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



       def  A_   (     self     ,lowercase     ,lowercase):

             """simple docstring"""





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


class   snake_case_ (lowercase__  ):




       """simple docstring"""






       def __init__(     self     ,lowercase):

             """simple docstring"""





             super(lowercase     ,self).__init__()

             if not isinstance(lowercase     ,lowercase) or len(lowercase) == 0:
                   raise ValueError(F"""`nested_token_ids` has to be a non-empty list, but is {nested_token_ids}.""")
             if any(not isinstance(lowercase     ,lowercase) for token_ids in nested_token_ids):
                   raise ValueError(F"""`nested_token_ids` has to be a list of lists, but is {nested_token_ids}.""")
             if any(
                 any((not isinstance(lowercase     ,lowercase) or token_id < 0) for token_id in token_ids)
                 for token_ids in nested_token_ids):
                   raise ValueError(
                       F"""Each list in `nested_token_ids` has to be a list of positive integers, but is {nested_token_ids}.""")

             UpperCAmelCase_  :	Dict				      =		DisjunctiveTrie(lowercase)
             UpperCAmelCase_  :	Tuple				      =		nested_token_ids

             UpperCAmelCase_  :	Optional[int]				      =		self.trie.max_height
             UpperCAmelCase_  :	Optional[int]				      =		[]
             UpperCAmelCase_  :	Any				      =		False



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	int				      =		self.trie.next_tokens(self.current_seq)

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



       def  A_   (     self     ,lowercase):

             """simple docstring"""





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

             UpperCAmelCase_  :	List[str]				      =		self.trie.next_tokens(self.current_seq)

             return token_id in next_tokens



       def  A_   (     self     ,lowercase):

             """simple docstring"""





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

             UpperCAmelCase_  :	Optional[int]				      =		False
             UpperCAmelCase_  :	Dict				      =		False
             UpperCAmelCase_  :	List[Any]				      =		False

             if self.does_advance(lowercase):
                   self.current_seq.append(lowercase)
                   UpperCAmelCase_  :	Tuple				      =		True
             else:
                   UpperCAmelCase_  :	Union[str, Any]				      =		True
                   self.reset()

             UpperCAmelCase_  :	Optional[Any]				      =		self.trie.reached_leaf(self.current_seq)
             UpperCAmelCase_  :	List[str]				      =		completed

             return stepped, completed, reset



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Optional[Any]				      =		False
             UpperCAmelCase_  :	List[str]				      =		[]



       def  A_   (     self):

             """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  A_   (     self     ,lowercase=False):

             """simple docstring"""





             UpperCAmelCase_  :	Union[str, Any]				      =		DisjunctiveConstraint(self.token_ids)

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

             return new_constraint


class   snake_case_ :




       """simple docstring"""






       def __init__(     self     ,lowercase):

             """simple docstring"""





             UpperCAmelCase_  :	int				      =		constraints

             # max # of steps required to fulfill a given constraint
             UpperCAmelCase_  :	Union[str, Any]				      =		max([c.seqlen for c in constraints])
             UpperCAmelCase_  :	Optional[int]				      =		len(lowercase)
             UpperCAmelCase_  :	Optional[Any]				      =		False

             self.init_state()



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Tuple				      =		[]
             UpperCAmelCase_  :	Any				      =		None
             UpperCAmelCase_  :	Union[str, Any]				      =		[constraint.copy(stateful=lowercase) for constraint in self.constraints]



       def  A_   (     self):

             """simple docstring"""





             UpperCAmelCase_  :	Dict				      =		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  A_   (     self):

             """simple docstring"""





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

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



       def  A_   (     self     ,lowercase):

             """simple docstring"""





             self.init_state()

             if token_ids is not None:
                   for token in token_ids:
                         # completes or steps **one** constraint
                         UpperCAmelCase_  :	Optional[int]				      =		self.add(lowercase)

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



       def  A_   (     self     ,lowercase):

             """simple docstring"""





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

             UpperCAmelCase_  :	int				      =		False, False

             if self.completed:
                   UpperCAmelCase_  :	Optional[Any]				      =		True
                   UpperCAmelCase_  :	Optional[int]				      =		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_  :	Union[str, Any]				      =		self.inprogress_constraint.update(lowercase)
                   if reset:
                         # 1. If the next token breaks the progress, then we must restart.
                         #     e.g. constraint = "I love pies" and sequence so far is "I love" but `token_id` == "books".

                         #     But that doesn't mean we self.init_state(), since we only reset the state for this particular
                         #     constraint, not the full list of constraints.

                         self.pending_constraints.append(self.inprogress_constraint.copy(stateful=lowercase))
                         UpperCAmelCase_  :	Any				      =		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_  :	Optional[int]				      =		None

                         if len(self.pending_constraints) == 0:
                               # we're done!
                               UpperCAmelCase_  :	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(lowercase):
                               UpperCAmelCase_  :	Optional[Any]				      =		pending_constraint.update(lowercase)

                               if not stepped:
                                     raise Exception(
                                         "`constraint.update(token_id)` is not yielding incremental progress, "
                                         "even though `constraint.does_advance(token_id)` is true.")

                               if complete:
                                     self.complete_constraints.append(lowercase)
                                     UpperCAmelCase_  :	List[str]				      =		None

                               if not complete and stepped:
                                     UpperCAmelCase_  :	List[Any]				      =		pending_constraint

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

                                     UpperCAmelCase_  :	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.

                                           UpperCAmelCase_  :	int				      =		True

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

             return complete, stepped



       def  A_   (     self     ,lowercase=True):

             """simple docstring"""





             UpperCAmelCase_  :	Union[str, Any]				      =		ConstraintListState(self.constraints)  # we actually never though self.constraints objects
             # throughout this process. So it's at initialization state.

             if stateful:
                   UpperCAmelCase_  :	str				      =		[
                       constraint.copy(stateful=lowercase) for constraint in self.complete_constraints
                   ]
                   if self.inprogress_constraint is not None:
                         UpperCAmelCase_  :	Union[str, Any]				      =		self.inprogress_constraint.copy(stateful=lowercase)
                   UpperCAmelCase_  :	Tuple				      =		[constraint.copy() for constraint in self.pending_constraints]

             return new_state





import argparse
import logging
import pickle
import random
import time

import numpy as np

from transformers import BertTokenizer, GPTaTokenizer, RobertaTokenizer


logging.basicConfig(
    format='''%(asctime)s - %(levelname)s - %(name)s - %(message)s''', datefmt='''%m/%d/%Y %H:%M:%S''', level=logging.INFO
)
__lowerCamelCase         =			logging.getLogger(__name__)







def    _snake_case (       )     ->     Dict:






      '''simple docstring'''







      UpperCAmelCase_  :	Any				      =		argparse.ArgumentParser(
          description="Preprocess the data to avoid re-doing it several times by (tokenization + token_to_ids)."    )
      parser.add_argument("--file_path"					,  type=__snake_case					,  default="data/dump.txt"					,  help="The path to the data."    )
      parser.add_argument("--tokenizer_type"					,  type=__snake_case					,  default="bert"					,  choices=["bert", "roberta", "gpt2"]    )
      parser.add_argument("--tokenizer_name"					,  type=__snake_case					,  default="bert-base-uncased"					,  help="The tokenizer to use."    )
      parser.add_argument("--dump_file"					,  type=__snake_case					,  default="data/dump"					,  help="The dump file prefix."    )
      UpperCAmelCase_  :	str				      =		parser.parse_args()

      logger.info(F"""Loading Tokenizer ({args.tokenizer_name})"""    )
      if args.tokenizer_type == "bert":
            UpperCAmelCase_  :	int				      =		BertTokenizer.from_pretrained(args.tokenizer_name    )
            UpperCAmelCase_  :	Optional[Any]				      =		tokenizer.special_tokens_map["cls_token"]  # `[CLS]`
            UpperCAmelCase_  :	Dict				      =		tokenizer.special_tokens_map["sep_token"]  # `[SEP]`
      elif args.tokenizer_type == "roberta":
            UpperCAmelCase_  :	str				      =		RobertaTokenizer.from_pretrained(args.tokenizer_name    )
            UpperCAmelCase_  :	int				      =		tokenizer.special_tokens_map["cls_token"]  # `<s>`
            UpperCAmelCase_  :	Optional[Any]				      =		tokenizer.special_tokens_map["sep_token"]  # `</s>`
      elif args.tokenizer_type == "gpt2":
            UpperCAmelCase_  :	Tuple				      =		GPTaTokenizer.from_pretrained(args.tokenizer_name    )
            UpperCAmelCase_  :	List[Any]				      =		tokenizer.special_tokens_map["bos_token"]  # `<|endoftext|>`
            UpperCAmelCase_  :	List[str]				      =		tokenizer.special_tokens_map["eos_token"]  # `<|endoftext|>`

      logger.info(F"""Loading text from {args.file_path}"""    )
      with open(args.file_path					,  "r"					,  encoding="utf8"    ) as fp:
            UpperCAmelCase_  :	Union[str, Any]				      =		fp.readlines()

      logger.info("Start encoding"    )
      logger.info(F"""{len(__snake_case    )} examples to process."""    )

      UpperCAmelCase_  :	List[str]				      =		[]
      UpperCAmelCase_  :	str				      =		0
      UpperCAmelCase_  :	Union[str, Any]				      =		1_0_0_0_0
      UpperCAmelCase_  :	int				      =		time.time()
      for text in data:
            UpperCAmelCase_  :	str				      =		F"""{bos} {text.strip()} {sep}"""
            UpperCAmelCase_  :	Any				      =		tokenizer.encode(__snake_case					,  add_special_tokens=__snake_case    )
            rslt.append(__snake_case    )

            iter += 1
            if iter % interval == 0:
                  UpperCAmelCase_  :	List[str]				      =		time.time()
                  logger.info(F"""{iter} examples processed. - {(end-start):.2f}s/{interval}expl"""    )
                  UpperCAmelCase_  :	Optional[Any]				      =		time.time()
      logger.info("Finished binarization"    )
      logger.info(F"""{len(__snake_case    )} examples processed."""    )

      UpperCAmelCase_  :	List[Any]				      =		F"""{args.dump_file}.{args.tokenizer_name}.pickle"""
      UpperCAmelCase_  :	Optional[int]				      =		tokenizer.vocab_size
      if vocab_size < (1 << 1_6):
            UpperCAmelCase_  :	List[Any]				      =		[np.uintaa(__snake_case    ) for d in rslt]
      else:
            UpperCAmelCase_  :	str				      =		[np.intaa(__snake_case    ) for d in rslt]
      random.shuffle(rslt_    )
      logger.info(F"""Dump to {dp_file}"""    )
      with open(__snake_case					,  "wb"    ) as handle:
            pickle.dump(rslt_					,  __snake_case					,  protocol=pickle.HIGHEST_PROTOCOL    )


if __name__ == "__main__":
   main()
