


'''simple docstring'''

from collections.abc import Generator
from math import sin





def __snake_case      (   UpperCAmelCase_		:		bytes	):






 if len(a_	) != 32:
  raise ValueError("Input must be of length 32"	)

 lowerCamelCase_  				=						B''''''
 for i in [3, 2, 1, 0]:
  little_endian += string_aa[8 * i : 8 * i + 8]
 return little_endian





def __snake_case      (   UpperCAmelCase_		:		int	):






 if i < 0:
  raise ValueError("Input must be non-negative"	)

 lowerCamelCase_  				=						format(a_      ,       "08x"	)[-8:]
 lowerCamelCase_  				=						B''''''
 for i in [3, 2, 1, 0]:
  little_endian_hex += hex_rep[2 * i : 2 * i + 2].encode("utf-8"	)
 return little_endian_hex





def __snake_case      (   UpperCAmelCase_		:		bytes	):
 lowerCamelCase_  				=						B''''''
 for char in message:
  bit_string += format(a_      ,       "08b"	).encode("utf-8"	)
 lowerCamelCase_  				=						format(len(a_	)      ,       "064b"	).encode("utf-8"	)

 # Pad bit_string to a multiple of 512 chars
 bit_string += b"1"
 while len(a_	) % 512 != 448:
  bit_string += b"0"
 bit_string += to_little_endian(start_len[32:]	) + to_little_endian(start_len[:32]	)

 return bit_string





def __snake_case      (   UpperCAmelCase_		:		bytes	):






 if len(a_	) % 512 != 0:
  raise ValueError("Input must have length that\'s a multiple of 512"	)

 for pos in range(0      ,       len(a_	)      ,       512	):
  lowerCamelCase_  				=						bit_string[pos : pos + 512]
  lowerCamelCase_  				=						[]
  for i in range(0      ,       512      ,       32	):
   block_words.append(int(to_little_endian(block[i : i + 32]	)      ,       2	)	)
  yield block_words





def __snake_case      (   UpperCAmelCase_		:		int	):






 if i < 0:
  raise ValueError("Input must be non-negative"	)

 lowerCamelCase_  				=						format(a_      ,       "032b"	)
 lowerCamelCase_  				=						''''''
 for c in i_str:
  new_str += "1" if c == "0" else "0"
 return int(a_      ,       2	)





def __snake_case      (   UpperCAmelCase_		:		int      ,       UpperCAmelCase_		:		int	):
 return (a + b) % 2**32





def __snake_case      (   UpperCAmelCase_		:		int      ,       UpperCAmelCase_		:		int	):






 if i < 0:
  raise ValueError("Input must be non-negative"	)
 if shift < 0:
  raise ValueError("Shift must be non-negative"	)
 return ((i << shift) ^ (i >> (32 - shift))) % 2**32





def __snake_case      (   UpperCAmelCase_		:		bytes	):
 lowerCamelCase_  				=						preprocess(a_	)

 lowerCamelCase_  				=						[int(2**32 * abs(sin(i + 1	)	)	) for i in range(64	)]

 # Starting states
 lowerCamelCase_  				=						0X6_7_4_5_2_3_0_1
 lowerCamelCase_  				=						0Xe_f_c_d_a_b_8_9
 lowerCamelCase_  				=						0X9_8_b_a_d_c_f_e
 lowerCamelCase_  				=						0X1_0_3_2_5_4_7_6

 lowerCamelCase_  				=						[
     7,
     12,
     17,
     22,
     7,
     12,
     17,
     22,
     7,
     12,
     17,
     22,
     7,
     12,
     17,
     22,
     5,
     9,
     14,
     20,
     5,
     9,
     14,
     20,
     5,
     9,
     14,
     20,
     5,
     9,
     14,
     20,
     4,
     11,
     16,
     23,
     4,
     11,
     16,
     23,
     4,
     11,
     16,
     23,
     4,
     11,
     16,
     23,
     6,
     10,
     15,
     21,
     6,
     10,
     15,
     21,
     6,
     10,
     15,
     21,
     6,
     10,
     15,
     21,
 ]

 # Process bit string in chunks, each with 16 32-char words
 for block_words in get_block_words(a_	):
  lowerCamelCase_  				=						aa
  lowerCamelCase_  				=						ba
  lowerCamelCase_  				=						ca
  lowerCamelCase_  				=						da

  # Hash current chunk
  for i in range(64	):
   if i <= 15:
    # f = (b & c) | (not_32(b) & d)     # Alternate definition for f
    lowerCamelCase_  				=						d ^ (b & (c ^ d))
    lowerCamelCase_  				=						i
   elif i <= 31:
    # f = (d & b) | (not_32(d) & c)     # Alternate definition for f
    lowerCamelCase_  				=						c ^ (d & (b ^ c))
    lowerCamelCase_  				=						(5 * i + 1) % 16
   elif i <= 47:
    lowerCamelCase_  				=						b ^ c ^ d
    lowerCamelCase_  				=						(3 * i + 5) % 16
   else:
    lowerCamelCase_  				=						c ^ (b | not_aa(a_	))
    lowerCamelCase_  				=						(7 * i) % 16
   lowerCamelCase_  				=						(f + a + added_consts[i] + block_words[g]) % 2**32
   lowerCamelCase_  				=						d
   lowerCamelCase_  				=						c
   lowerCamelCase_  				=						b
   lowerCamelCase_  				=						sum_aa(a_      ,       left_rotate_aa(a_      ,       shift_amounts[i]	)	)

  # Add hashed chunk to running total
  lowerCamelCase_  				=						sum_aa(a_      ,       a_	)
  lowerCamelCase_  				=						sum_aa(a_      ,       a_	)
  lowerCamelCase_  				=						sum_aa(a_      ,       a_	)
  lowerCamelCase_  				=						sum_aa(a_      ,       a_	)

 lowerCamelCase_  				=						reformat_hex(a_	) + reformat_hex(a_	) + reformat_hex(a_	) + reformat_hex(a_	)
 return digest


if __name__ == "__main__":
     import doctest

     doctest.testmod()







'''simple docstring'''

import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
     from transformers.pipelines.conversational import Conversation


a_						:       Dict      			=				logging.get_logger(__name__)

a_						:       List[Any]      			=				{"""vocab_file""": """vocab.json""", """merges_file""": """merges.txt""", """tokenizer_file""": """tokenizer.json"""}

a_						:       Optional[Any]      			=				{
    """tokenizer_file""": {
        """EleutherAI/gpt-neox-20b""": """https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json""",
    },
}

a_						:       str      			=				{
    """gpt-neox-20b""": 2048,
}





class   snake_case					(					lowercase    ):





  """simple docstring"""




  _lowerCamelCase						=						VOCAB_FILES_NAMES
  _lowerCamelCase						=						PRETRAINED_VOCAB_FILES_MAP
  _lowerCamelCase						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  _lowerCamelCase						=						["input_ids", "attention_mask"]






  def __init__(					self    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase=None    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase="<|endoftext|>"    ,						UpperCamelCase=False    ,						**UpperCamelCase    ,						):







   """simple docstring"""
   super().__init__(
       UpperCamelCase    ,						UpperCamelCase    ,						tokenizer_file=UpperCamelCase    ,						unk_token=UpperCamelCase    ,						bos_token=UpperCamelCase    ,						eos_token=UpperCamelCase    ,						add_prefix_space=UpperCamelCase    ,						**UpperCamelCase    ,						)

   lowerCamelCase_  				=						json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()  )
   if pre_tok_state.get("add_prefix_space"    ,						UpperCamelCase  ) != add_prefix_space:
    lowerCamelCase_  				=						getattr(UpperCamelCase    ,						pre_tok_state.pop("type"  )  )
    lowerCamelCase_  				=						add_prefix_space
    lowerCamelCase_  				=						pre_tok_class(**UpperCamelCase  )

   lowerCamelCase_  				=						add_prefix_space






  def 						snake_case	(					self    ,						UpperCamelCase    ,						UpperCamelCase = None  ):







   """simple docstring"""
   lowerCamelCase_  				=						self._tokenizer.model.save(UpperCamelCase    ,						name=UpperCamelCase  )
   return tuple(UpperCamelCase  )







  def 						snake_case	(					self    ,						UpperCamelCase  ):







   """simple docstring"""
   lowerCamelCase_  				=						[]
   for is_user, text in conversation.iter_texts():
    input_ids.extend(self.encode(UpperCamelCase    ,						add_special_tokens=UpperCamelCase  ) + [self.eos_token_id]  )

   if len(UpperCamelCase  ) > self.model_max_length:
    lowerCamelCase_  				=						input_ids[-self.model_max_length :]
   return input_ids



