'''simple docstring'''




from ...configuration_utils import PretrainedConfig
from ...utils import logging


_a   :	List[Any] 							=   logging.get_logger(__name__)

_a   :	Dict 							=   {
    "s-JoL/Open-Llama-V1": "https://huggingface.co/s-JoL/Open-Llama-V1/blob/main/config.json",
}






class 		__A       (__magic_name__   ):
       snake_case       :Union[str, Any]				    =					"open-llama"






       def __init__(      self				,     UpperCamelCase_=10_00_00				,     UpperCamelCase_=40_96				,     UpperCamelCase_=1_10_08				,     UpperCamelCase_=32				,     UpperCamelCase_=32				,     UpperCamelCase_="silu"				,     UpperCamelCase_=20_48				,     UpperCamelCase_=0.0_2				,     UpperCamelCase_=1E-6				,     UpperCamelCase_=True				,     UpperCamelCase_=0				,     UpperCamelCase_=1				,     UpperCamelCase_=2				,     UpperCamelCase_=False				,     UpperCamelCase_=True				,     UpperCamelCase_=0.1				,     UpperCamelCase_=0.1				,     UpperCamelCase_=True				,     UpperCamelCase_=True				,     UpperCamelCase_=None				,     **UpperCamelCase_				,     ):
              __UpperCAmelCase  :				Optional[int]       				=		vocab_size
              __UpperCAmelCase  :				List[str]       				=		max_position_embeddings
              __UpperCAmelCase  :				Tuple       				=		hidden_size
              __UpperCAmelCase  :				Tuple       				=		intermediate_size
              __UpperCAmelCase  :				Union[str, Any]       				=		num_hidden_layers
              __UpperCAmelCase  :				str       				=		num_attention_heads
              __UpperCAmelCase  :				List[str]       				=		hidden_act
              __UpperCAmelCase  :				int       				=		initializer_range
              __UpperCAmelCase  :				Optional[int]       				=		rms_norm_eps
              __UpperCAmelCase  :				List[Any]       				=		use_cache
              __UpperCAmelCase  :				int       				=		kwargs.pop(
                  "use_memorry_efficient_attention"				,     UpperCamelCase_      )
              __UpperCAmelCase  :				Optional[int]       				=		hidden_dropout_prob
              __UpperCAmelCase  :				str       				=		attention_dropout_prob
              __UpperCAmelCase  :				Union[str, Any]       				=		use_stable_embedding
              __UpperCAmelCase  :				List[str]       				=		shared_input_output_embedding
              __UpperCAmelCase  :				Tuple       				=		rope_scaling
              self._rope_scaling_validation()

              super().__init__(
                  pad_token_id=UpperCamelCase_				,     bos_token_id=UpperCamelCase_				,     eos_token_id=UpperCamelCase_				,     tie_word_embeddings=UpperCamelCase_				,     **UpperCamelCase_				,     )







       def 			_snake_case						(      self      ):
              if self.rope_scaling is None:
                     return

              if not isinstance(self.rope_scaling				,     UpperCamelCase_      ) or len(self.rope_scaling      ) != 2:
                     raise ValueError(
                         "`rope_scaling` must be a dictionary with with two fields, `name` and `factor`, "
                         f"""got {self.rope_scaling}"""      )
              __UpperCAmelCase  :				List[Any]       				=		self.rope_scaling.get("type"				,     UpperCamelCase_      )
              __UpperCAmelCase  :				Dict       				=		self.rope_scaling.get("factor"				,     UpperCamelCase_      )
              if rope_scaling_type is None or rope_scaling_type not in ["linear", "dynamic"]:
                     raise ValueError(
                         f"""`rope_scaling`\'s name field must be one of [\'linear\', \'dynamic\'], got {rope_scaling_type}"""      )
              if rope_scaling_factor is None or not isinstance(UpperCamelCase_				,     UpperCamelCase_      ) or rope_scaling_factor <= 1.0:
                     raise ValueError(f"""`rope_scaling`\'s factor field must be an float > 1, got {rope_scaling_factor}"""      )







'''simple docstring'''




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

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


_a   :	Optional[Any] 							=   logging.get_logger(__name__)


_a   :	int 							=   {"vocab_file": "vocab.json", "merges_file": "merges.txt"}

# See all BART models at https://huggingface.co/models?filter=bart
_a   :	Tuple 							=   {
    "vocab_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/vocab.json",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/vocab.json",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/vocab.json",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/vocab.json",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/vocab.json",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/vocab.json",
    },
    "merges_file": {
        "facebook/bart-base": "https://huggingface.co/facebook/bart-base/resolve/main/merges.txt",
        "facebook/bart-large": "https://huggingface.co/facebook/bart-large/resolve/main/merges.txt",
        "facebook/bart-large-mnli": "https://huggingface.co/facebook/bart-large-mnli/resolve/main/merges.txt",
        "facebook/bart-large-cnn": "https://huggingface.co/facebook/bart-large-cnn/resolve/main/merges.txt",
        "facebook/bart-large-xsum": "https://huggingface.co/facebook/bart-large-xsum/resolve/main/merges.txt",
        "yjernite/bart_eli5": "https://huggingface.co/yjernite/bart_eli5/resolve/main/merges.txt",
    },
}

_a   :	List[Any] 							=   {
    "facebook/bart-base": 1024,
    "facebook/bart-large": 1024,
    "facebook/bart-large-mnli": 1024,
    "facebook/bart-large-cnn": 1024,
    "facebook/bart-large-xsum": 1024,
    "yjernite/bart_eli5": 1024,
}

@lru_cache()
def _lowercase	(      )					->       List[Any]:





       """simple docstring"""


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

def _lowercase	(      lowerCamelCase__						)					->       str:





       """simple docstring"""


       __UpperCAmelCase  :				Dict       				=		set()
       __UpperCAmelCase  :				Union[str, Any]       				=		word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)						)
              __UpperCAmelCase  :				Optional[Any]       				=		char
       return pairs






class 		__A       (__magic_name__   ):
       snake_case       :Optional[int]				    =					VOCAB_FILES_NAMES
       snake_case       :List[Any]				    =					PRETRAINED_VOCAB_FILES_MAP
       snake_case       :Any				    =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       snake_case       :Optional[int]				    =					["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_				,     ):
              __UpperCAmelCase  :				str       				=		AddedToken(UpperCamelCase_				,     lstrip=UpperCamelCase_				,     rstrip=UpperCamelCase_      ) if isinstance(UpperCamelCase_				,     UpperCamelCase_      ) else bos_token
              __UpperCAmelCase  :				List[str]       				=		AddedToken(UpperCamelCase_				,     lstrip=UpperCamelCase_				,     rstrip=UpperCamelCase_      ) if isinstance(UpperCamelCase_				,     UpperCamelCase_      ) else eos_token
              __UpperCAmelCase  :				Optional[int]       				=		AddedToken(UpperCamelCase_				,     lstrip=UpperCamelCase_				,     rstrip=UpperCamelCase_      ) if isinstance(UpperCamelCase_				,     UpperCamelCase_      ) else sep_token
              __UpperCAmelCase  :				int       				=		AddedToken(UpperCamelCase_				,     lstrip=UpperCamelCase_				,     rstrip=UpperCamelCase_      ) if isinstance(UpperCamelCase_				,     UpperCamelCase_      ) else cls_token
              __UpperCAmelCase  :				Optional[int]       				=		AddedToken(UpperCamelCase_				,     lstrip=UpperCamelCase_				,     rstrip=UpperCamelCase_      ) if isinstance(UpperCamelCase_				,     UpperCamelCase_      ) else unk_token
              __UpperCAmelCase  :				Dict       				=		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
              __UpperCAmelCase  :				Union[str, Any]       				=		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:
                     __UpperCAmelCase  :				int       				=		json.load(UpperCamelCase_      )
              __UpperCAmelCase  :				Any       				=		{v: k for k, v in self.encoder.items()}
              __UpperCAmelCase  :				Any       				=		errors  # how to handle errors in decoding
              __UpperCAmelCase  :				str       				=		bytes_to_unicode()
              __UpperCAmelCase  :				List[str]       				=		{v: k for k, v in self.byte_encoder.items()}
              with open(UpperCamelCase_				,     encoding="utf-8"      ) as merges_handle:
                     __UpperCAmelCase  :				str       				=		merges_handle.read().split("\n"      )[1:-1]
              __UpperCAmelCase  :				List[str]       				=		[tuple(merge.split()      ) for merge in bpe_merges]
              __UpperCAmelCase  :				Union[str, Any]       				=		dict(zip(UpperCamelCase_				,     range(len(UpperCamelCase_      )      )      )      )
              __UpperCAmelCase  :				Optional[int]       				=		{}
              __UpperCAmelCase  :				Optional[int]       				=		add_prefix_space

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






       @property
       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]
              __UpperCAmelCase  :				List[str]       				=		tuple(UpperCamelCase_      )
              __UpperCAmelCase  :				str       				=		get_pairs(UpperCamelCase_      )

              if not pairs:
                     return token

              while True:
                     __UpperCAmelCase  :				str       				=		min(UpperCamelCase_				,     key=lambda UpperCamelCase_      : self.bpe_ranks.get(UpperCamelCase_				,     float("inf"      )      )      )
                     if bigram not in self.bpe_ranks:
                            break
                     __UpperCAmelCase				, __UpperCAmelCase  :				List[Any]       				=		bigram
                     __UpperCAmelCase  :				Any       				=		[]
                     __UpperCAmelCase  :				List[str]       				=		0
                     while i < len(UpperCamelCase_      ):
                            try:
                                   __UpperCAmelCase  :				Union[str, Any]       				=		word.index(UpperCamelCase_				,     UpperCamelCase_      )
                            except ValueError:
                                   new_word.extend(word[i:]      )
                                   break
                            else:
                                   new_word.extend(word[i:j]      )
                                   __UpperCAmelCase  :				str       				=		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
                     __UpperCAmelCase  :				Dict       				=		tuple(UpperCamelCase_      )
                     __UpperCAmelCase  :				str       				=		new_word
                     if len(UpperCamelCase_      ) == 1:
                            break
                     else:
                            __UpperCAmelCase  :				int       				=		get_pairs(UpperCamelCase_      )
              __UpperCAmelCase  :				Optional[int]       				=		" ".join(UpperCamelCase_      )
              __UpperCAmelCase  :				Dict       				=		word
              return word






       def 			_snake_case						(      self				,     UpperCamelCase_      ):
              __UpperCAmelCase  :				Optional[Any]       				=		[]
              for token in re.findall(self.pat				,     UpperCamelCase_      ):
                     __UpperCAmelCase  :				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_      ):
              __UpperCAmelCase  :				List[str]       				=		"".join(UpperCamelCase_      )
              __UpperCAmelCase  :				Union[str, Any]       				=		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
              __UpperCAmelCase  :				Any       				=		os.path.join(
                  UpperCamelCase_				,     (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]      )
              __UpperCAmelCase  :				Optional[int]       				=		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"      )

              __UpperCAmelCase  :				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!"      )
                                   __UpperCAmelCase  :				str       				=		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]
              __UpperCAmelCase  :				List[Any]       				=		[self.cls_token_id]
              __UpperCAmelCase  :				Tuple       				=		[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      ):
              __UpperCAmelCase  :				int       				=		[self.sep_token_id]
              __UpperCAmelCase  :				List[str]       				=		[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_      ):
              __UpperCAmelCase  :				List[str]       				=		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()):
                     __UpperCAmelCase  :				Tuple       				=		" " + text
              return (text, kwargs)






