




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

import numpy as np
import regex as re

from ...utils import is_tf_available, is_torch_available, logging


if TYPE_CHECKING:
   if is_torch_available():
      import torch
   if is_tf_available():
      import tensorflow as tf

from ...tokenization_utils import AddedToken, PreTrainedTokenizer


lowercase__      :			int           =					logging.get_logger(__name__)

lowercase__      :			Tuple           =					{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

lowercase__      :			Any           =					{
    "vocab_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/vocab.json",
    },
    "merges_file": {
        "Salesforce/codegen-350M-mono": "https://huggingface.co/Salesforce/codegen-350M-mono/resolve/main/merges.txt",
    },
}

lowercase__      :			Dict           =					{
    "Salesforce/codegen-350M-mono": 2_048,
}

@lru_cache()
def 					SCREAMING_SNAKE_CASE							(   )			->     List[str]:
     a      =      (
         list(range(ord("!")		,					ord("~") + 1)) + list(range(ord("¡")		,					ord("¬") + 1)) + list(range(ord("®")		,					ord("ÿ") + 1))
     )
     a      =      bs[:]
     a      =      0
     for b in range(2**8):
          if b not in bs:
               bs.append(__UpperCamelCase)
               cs.append(2**8 + n)
               n += 1
     a      =      [chr(__UpperCamelCase) for n in cs]
     return dict(zip(__UpperCamelCase		,					__UpperCamelCase))

def 					SCREAMING_SNAKE_CASE							(   __UpperCamelCase)			->     int:
     a      =      set()
     a      =      word[0]
     for char in word[1:]:
          pairs.add((prev_char, char))
          a      =      char
     return pairs





class 			a__       (					UpperCamelCase__      ):
     a		:			Optional[int]							=	VOCAB_FILES_NAMES
     a		:			Optional[Any]							=	PRETRAINED_VOCAB_FILES_MAP
     a		:			str							=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     a		:			Dict							=	["""input_ids""", """attention_mask"""]







     def __init__(	self  ,		A  ,		A  ,		A="replace"  ,		A="<|endoftext|>"  ,		A="<|endoftext|>"  ,		A="<|endoftext|>"  ,		A=None  ,		A=False  ,		A=False  ,		**A  ,		)  ->    Any:



          '''simple docstring'''



          a      =      AddedToken(A  ,		lstrip=A  ,		rstrip=A ) if isinstance(A  ,		A ) else bos_token
          a      =      AddedToken(A  ,		lstrip=A  ,		rstrip=A ) if isinstance(A  ,		A ) else eos_token
          a      =      AddedToken(A  ,		lstrip=A  ,		rstrip=A ) if isinstance(A  ,		A ) else unk_token
          a      =      AddedToken(A  ,		lstrip=A  ,		rstrip=A ) if isinstance(A  ,		A ) else pad_token
          super().__init__(
              errors=A  ,		unk_token=A  ,		bos_token=A  ,		eos_token=A  ,		pad_token=A  ,		add_prefix_space=A  ,		add_bos_token=A  ,		**A  ,		)
          a      =      add_bos_token

          with open(A  ,		encoding="utf-8" ) as vocab_handle:
               a      =      json.load(A )
          a      =      {v: k for k, v in self.encoder.items()}
          a      =      errors  # how to handle errors in decoding
          a      =      bytes_to_unicode()
          a      =      {v: k for k, v in self.byte_encoder.items()}
          with open(A  ,		encoding="utf-8" ) as merges_handle:
               a      =      merges_handle.read().split("\n" )[1:-1]
          a      =      [tuple(merge.split() ) for merge in bpe_merges]
          a      =      dict(zip(A  ,		range(len(A ) ) ) )
          a      =      {}
          a      =      add_prefix_space

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







     @property
     def 			lowerCAmelCase_				(	self )  ->    Optional[Any]:



          '''simple docstring'''



          return len(self.encoder )







     def 			lowerCAmelCase_				(	self )  ->    Any:



          '''simple docstring'''



          return dict(self.encoder  ,		**self.added_tokens_encoder )







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



          '''simple docstring'''



          if token in self.cache:
               return self.cache[token]
          a      =      tuple(A )
          a      =      get_pairs(A )

          if not pairs:
               return token

          while True:
               a      =      min(A  ,		key=lambda A : self.bpe_ranks.get(A  ,		float("inf" ) ) )
               if bigram not in self.bpe_ranks:
                    break
               a  ,      a      =      bigram
               a      =      []
               a      =      0
               while i < len(A ):
                    try:
                         a      =      word.index(A  ,		A )
                    except ValueError:
                         new_word.extend(word[i:] )
                         break
                    else:
                         new_word.extend(word[i:j] )
                         a      =      j

                    if word[i] == first and i < len(A ) - 1 and word[i + 1] == second:
                         new_word.append(first + second )
                         i += 2
                    else:
                         new_word.append(word[i] )
                         i += 1
               a      =      tuple(A )
               a      =      new_word
               if len(A ) == 1:
                    break
               else:
                    a      =      get_pairs(A )
          a      =      " ".join(A )
          a      =      word
          return word







     def 			lowerCAmelCase_				(	self  ,		A  ,		A=None )  ->    List[Any]:



          '''simple docstring'''



          if self.add_bos_token:
               a      =      [self.bos_token_id]
          else:
               a      =      []

          a      =      bos_token_ids + token_ids_a

          if token_ids_a is None:
               return output

          return output + bos_token_ids + token_ids_a







     def 			lowerCAmelCase_				(	self  ,		A )  ->    Dict:



          '''simple docstring'''



          a      =      []
          for token in re.findall(self.pat  ,		A ):
               a      =      "".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(A ).split(" " ) )
          return bpe_tokens







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



          '''simple docstring'''



          return self.encoder.get(A  ,		self.encoder.get(self.unk_token ) )







     def 			lowerCAmelCase_				(	self  ,		A )  ->    Tuple:



          '''simple docstring'''



          return self.decoder.get(A )







     def 			lowerCAmelCase_				(	self  ,		A )  ->    Optional[int]:



          '''simple docstring'''



          a      =      "".join(A )
          a      =      bytearray([self.byte_decoder[c] for c in text] ).decode("utf-8"  ,		errors=self.errors )
          return text







     def 			lowerCAmelCase_				(	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
          a      =      os.path.join(
              A  ,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"] )
          a      =      os.path.join(
              A  ,		(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"] )

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

          a      =      0
          with open(A  ,		"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 A : 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!" )
                         a      =      token_index
                    writer.write(" ".join(A ) + "\n" )
                    index += 1

          return vocab_file, merge_file







     def 			lowerCAmelCase_				(	self  ,		A  ,		A=False  ,		**A )  ->    Dict:



          '''simple docstring'''



          a      =      kwargs.pop("add_prefix_space"  ,		self.add_prefix_space )
          if is_split_into_words or add_prefix_space:
               a      =      " " + text
          return (text, kwargs)







     def 			lowerCAmelCase_				(	self  ,		A  ,		A = False  ,		A = None  ,		A = None  ,		**A  ,		)  ->    str:



          '''simple docstring'''



          a      =      super()._decode(
              token_ids=A  ,		skip_special_tokens=A  ,		clean_up_tokenization_spaces=A  ,		**A  ,		)

          if truncate_before_pattern is not None and len(A ) > 0:
               a      =      self.truncate(A  ,		A )

          return decoded_text







     def 			lowerCAmelCase_				(	self  ,		A  ,		A )  ->    Any:



          '''simple docstring'''



          def find_re(A  ,		A  ,		A ):
               a      =      pattern.search(A  ,		A )
               return m.start() if m else -1

          a      =      [re.compile(A  ,		re.MULTILINE ) for pattern in truncate_before_pattern]

          a      =      list(re.finditer("^print"  ,		A  ,		re.MULTILINE ) )

          if len(A ) > 1:
               a      =      completion[: prints[1].start()]

          a      =      list(re.finditer("^def"  ,		A  ,		re.MULTILINE ) )

          if len(A ) > 1:
               a      =      completion[: defs[1].start()]

          a      =      0

          a      =      [
              pos for pos in [find_re(A  ,		A  ,		A ) for terminal in terminals] if pos != -1
          ]

          if len(A ) > 0:
               return completion[: min(A )]
          else:
               return completion







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


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

lowercase__      :			Optional[int]           =					{
    "uw-madison/yoso-4096": "https://huggingface.co/uw-madison/yoso-4096/resolve/main/config.json",
    # See all YOSO models at https://huggingface.co/models?filter=yoso
}




class 			a__       (					UpperCamelCase__      ):
     a		:			Dict							=	"""yoso"""







     def __init__(	self  ,		A=50265  ,		A=768  ,		A=12  ,		A=12  ,		A=3072  ,		A="gelu"  ,		A=0.1  ,		A=0.1  ,		A=4096  ,		A=1  ,		A=0.0_2  ,		A=1e-12  ,		A="absolute"  ,		A=True  ,		A=9  ,		A=64  ,		A=None  ,		A=True  ,		A=True  ,		A=1  ,		A=0  ,		A=2  ,		**A  ,		)  ->    Dict:



          '''simple docstring'''



          super().__init__(pad_token_id=A  ,		bos_token_id=A  ,		eos_token_id=A  ,		**A )

          a      =      vocab_size
          a      =      max_position_embeddings
          a      =      hidden_size
          a      =      num_hidden_layers
          a      =      num_attention_heads
          a      =      intermediate_size
          a      =      hidden_act
          a      =      hidden_dropout_prob
          a      =      attention_probs_dropout_prob
          a      =      initializer_range
          a      =      type_vocab_size
          a      =      layer_norm_eps
          a      =      position_embedding_type
          a      =      use_expectation
          a      =      hash_code_len
          a      =      num_hash
          a      =      conv_window
          a      =      use_fast_hash
          a      =      lsh_backward

