


'''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


UpperCAmelCase_      :		Union[str, Any]          =		logging.get_logger(__name__)

UpperCAmelCase_      :		Tuple          =		{"vocab_file": "vocab.json", "merges_file": "merges.txt", "tokenizer_file": "tokenizer.json"}

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

UpperCAmelCase_      :		Optional[Any]          =		{
    "gpt-neox-20b": 2048,
}







class 					a			(				snake_case__  ):
 '''simple docstring'''




 __lowerCAmelCase						: Optional[Any]							  =		VOCAB_FILES_NAMES
 __lowerCAmelCase						: int							  =		PRETRAINED_VOCAB_FILES_MAP
 __lowerCAmelCase						: Optional[Any]							  =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 __lowerCAmelCase						: Dict							  =		["""input_ids""", """attention_mask"""]




 def __init__(    self		,      lowerCamelCase_=None		,      lowerCamelCase_=None		,      lowerCamelCase_=None		,      lowerCamelCase_="<|endoftext|>"		,      lowerCamelCase_="<|endoftext|>"		,      lowerCamelCase_="<|endoftext|>"		,      lowerCamelCase_=False		,      **lowerCamelCase_		,      )      ->    Any:
    super().__init__(
        lowerCamelCase_		,      lowerCamelCase_		,      tokenizer_file=lowerCamelCase_		,      unk_token=lowerCamelCase_		,      bos_token=lowerCamelCase_		,      eos_token=lowerCamelCase_		,      add_prefix_space=lowerCamelCase_		,      **lowerCamelCase_		,      )

    _a					:  Optional[int]						=  json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()      )
    if pre_tok_state.get('add_prefix_space'		,      lowerCamelCase_      ) != add_prefix_space:
       _a					:  Optional[Any]						=  getattr(lowerCamelCase_		,      pre_tok_state.pop('type'      )      )
       _a					:  Tuple						=  add_prefix_space
       _a					:  Tuple						=  pre_tok_class(**lowerCamelCase_      )

    _a					:  Dict						=  add_prefix_space




 def   __UpperCamelCase   (    self		,      lowerCamelCase_		,      lowerCamelCase_ = None      )      ->    Tuple[str]:
    _a					:  int						=  self._tokenizer.model.save(lowerCamelCase_		,      name=lowerCamelCase_      )
    return tuple(lowerCamelCase_      )




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    List[int]:
    _a					:  Tuple						=  []
    for is_user, text in conversation.iter_texts():
       input_ids.extend(self.encode(lowerCamelCase_		,      add_special_tokens=lowerCamelCase_      ) + [self.eos_token_id]      )

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






'''simple docstring'''




import mpmath  # for roots of unity
import numpy as np







class 					a			:
 '''simple docstring'''




 def __init__(    self		,      lowerCamelCase_=None		,      lowerCamelCase_=None      )      ->    Tuple:
    # Input as list
    _a					:  Optional[int]						=  list(poly_a or [0]      )[:]
    _a					:  List[str]						=  list(poly_b or [0]      )[:]

    # Remove leading zero coefficients
    while self.polyA[-1] == 0:
       self.polyA.pop()
    _a					:  str						=  len(self.polyA      )

    while self.polyB[-1] == 0:
       self.polyB.pop()
    _a					:  Optional[int]						=  len(self.polyB      )

    # Add 0 to make lengths equal a power of 2
    _a					:  str						=  int(
        2 ** np.ceil(np.loga(len(self.polyA      ) + len(self.polyB      ) - 1      )      )      )

    while len(self.polyA      ) < self.c_max_length:
       self.polyA.append(0      )
    while len(self.polyB      ) < self.c_max_length:
       self.polyB.append(0      )
    # A complex root used for the fourier transform
    _a					:  Optional[int]						=  complex(mpmath.root(x=1		,      n=self.c_max_length		,      k=1      )      )

    # The product
    _a					:  Union[str, Any]						=  self.__multiply()




 def   __UpperCamelCase   (    self		,      lowerCamelCase_      )      ->    Dict:
    _a					:  Dict						=  [[x] for x in self.polyA] if which == 'A' else [[x] for x in self.polyB]
    # Corner case
    if len(lowerCamelCase_      ) <= 1:
       return dft[0]
    #
    _a					:  List[str]						=  self.c_max_length // 2
    while next_ncol > 0:
       _a					:  Tuple						=  [[] for i in range(lowerCamelCase_      )]
       _a					:  Tuple						=  self.root**next_ncol

       # First half of next step
       _a					:  Optional[Any]						=  1
       for j in range(self.c_max_length // (next_ncol * 2)      ):
          for i in range(lowerCamelCase_      ):
             new_dft[i].append(dft[i][j] + current_root * dft[i + next_ncol][j]      )
          current_root *= root
       # Second half of next step
       _a					:  int						=  1
       for j in range(self.c_max_length // (next_ncol * 2)      ):
          for i in range(lowerCamelCase_      ):
             new_dft[i].append(dft[i][j] - current_root * dft[i + next_ncol][j]      )
          current_root *= root
       # Update
       _a					:  Union[str, Any]						=  new_dft
       _a					:  List[Any]						=  next_ncol // 2
    return dft[0]




 def   __UpperCamelCase   (    self      )      ->    List[Any]:
    _a					:  Tuple						=  self.__dft('A'      )
    _a					:  Union[str, Any]						=  self.__dft('B'      )
    _a					:  List[Any]						=  [[dft_a[i] * dft_b[i] for i in range(self.c_max_length      )]]
    del dft_a
    del dft_b

    # Corner Case
    if len(inverce_c[0]      ) <= 1:
       return inverce_c[0]
    # Inverse DFT
    _a					:  Optional[Any]						=  2
    while next_ncol <= self.c_max_length:
       _a					:  Optional[int]						=  [[] for i in range(lowerCamelCase_      )]
       _a					:  List[str]						=  self.root ** (next_ncol // 2)
       _a					:  int						=  1
       # First half of next step
       for j in range(self.c_max_length // next_ncol      ):
          for i in range(next_ncol // 2      ):
             # Even positions
             new_inverse_c[i].append(
                 (
                     inverce_c[i][j]
                     + inverce_c[i][j + self.c_max_length // next_ncol]
                 )
                 / 2      )
             # Odd positions
             new_inverse_c[i + next_ncol // 2].append(
                 (
                     inverce_c[i][j]
                     - inverce_c[i][j + self.c_max_length // next_ncol]
                 )
                 / (2 * current_root)      )
          current_root *= root
       # Update
       _a					:  Dict						=  new_inverse_c
       next_ncol *= 2
    # Unpack
    _a					:  Union[str, Any]						=  [round(x[0].real		,      8      ) + round(x[0].imag		,      8      ) * 1J for x in inverce_c]

    # Remove leading 0's
    while inverce_c[-1] == 0:
       inverce_c.pop()
    return inverce_c




 def __str__(    self      )      ->    Dict:
    _a					:  Optional[int]						=  'A = ' + ' + '.join(
        F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyA[: self.len_A]      )      )
    _a					:  Dict						=  'B = ' + ' + '.join(
        F'''{coef}*x^{i}''' for coef, i in enumerate(self.polyB[: self.len_B]      )      )
    _a					:  Tuple						=  'A*B = ' + ' + '.join(
        F'''{coef}*x^{i}''' for coef, i in enumerate(self.product      )      )

    return F'''{a}\n{b}\n{c}'''


# Unit tests
if __name__ == "__main__":
 import doctest

 doctest.testmod()


