





import time
import warnings
from abc import ABC
from copy import deepcopy
from typing import Optional

import torch

from ..utils import add_start_docstrings, logging


_lowerCamelCase      							=   logging.get_logger(__name__)


_lowerCamelCase      							=   r'\n    Args:\n        input_ids (`torch.LongTensor` of shape `(batch_size, sequence_length)`):\n            Indices of input sequence tokens in the vocabulary.\n\n            Indices can be obtained using [`AutoTokenizer`]. See [`PreTrainedTokenizer.encode`] and\n            [`PreTrainedTokenizer.__call__`] for details.\n\n            [What are input IDs?](../glossary#input-ids)\n        scores (`torch.FloatTensor` of shape `(batch_size, config.vocab_size)`):\n            Prediction scores of a language modeling head. These can be scores for each vocabulary token before SoftMax\n            or scores for each vocabulary token after SoftMax.\n        kwargs (`Dict[str, Any]`, *optional*):\n            Additional stopping criteria specific kwargs.\n\n    Return:\n        `bool`. `False` indicates we should continue, `True` indicates we should stop.\n\n'







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      @add_start_docstrings(a__)
      def __call__(		self   ,				a__   ,				a__   ,				**a__):



             """simple docstring"""





             raise NotImplementedError('''StoppingCriteria needs to be subclassed''')







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      def __init__(		self   ,				a__   ,				a__ = None):



             """simple docstring"""





             _lowerCamelCase				:  str						=		max_length
             _lowerCamelCase				:  List[str]						=		max_position_embeddings



      @add_start_docstrings(a__)
      def __call__(		self   ,				a__   ,				a__   ,				**a__):



             """simple docstring"""





             _lowerCamelCase				:  Dict						=		input_ids.shape[-1]
             _lowerCamelCase				:  Optional[int]						=		cur_len >= self.max_length
             if self.max_position_embeddings is not None and not is_done and cur_len >= self.max_position_embeddings:
                    logger.warning_once(
                        '''This is a friendly reminder - the current text generation call will exceed the model\'s predefined '''
                        F"""maximum length ({self.max_position_embeddings}). Depending on the model, you may observe """
                        '''exceptions, performance degradation, or nothing at all.''')
             return is_done







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      def __init__(		self   ,				a__   ,				a__):



             """simple docstring"""





             warnings.warn(
                 '''The class `MaxNewTokensCriteria` is deprecated. '''
                 F"""Please use `MaxLengthCriteria(max_length={start_length + max_new_tokens})` """
                 '''with `max_length = start_length + max_new_tokens` instead.'''   ,				a__   ,				)
             _lowerCamelCase				:  str						=		start_length
             _lowerCamelCase				:  str						=		max_new_tokens
             _lowerCamelCase				:  Tuple						=		start_length + max_new_tokens



      @add_start_docstrings(a__)
      def __call__(		self   ,				a__   ,				a__   ,				**a__):



             """simple docstring"""





             return input_ids.shape[-1] >= self.max_length







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      def __init__(		self   ,				a__   ,				a__ = None):



             """simple docstring"""





             _lowerCamelCase				:  List[Any]						=		max_time
             _lowerCamelCase				:  Union[str, Any]						=		time.time() if initial_timestamp is None else initial_timestamp



      @add_start_docstrings(a__)
      def __call__(		self   ,				a__   ,				a__   ,				**a__):



             """simple docstring"""





             return time.time() - self.initial_timestamp > self.max_time







class       __A							(   lowerCamelCase__	):




      """simple docstring"""







      @add_start_docstrings(a__)
      def __call__(		self   ,				a__   ,				a__   ,				**a__):



             """simple docstring"""





             return any(criteria(a__   ,				a__) for criteria in self)



      @property
      def 					__snake_case      (		self):



             """simple docstring"""





             for stopping_criterium in self:
                    if isinstance(a__   ,				a__):
                           return stopping_criterium.max_length
                    elif isinstance(a__   ,				a__):
                           return stopping_criterium.max_length
             return None




def  __UpperCAmelCase(   lowercase_			,     lowercase_   ):
       _lowerCamelCase				:  Tuple						=		stopping_criteria.max_length
       _lowerCamelCase				:  Union[str, Any]						=		deepcopy(lowercase_   )
       if stopping_max_length is not None and stopping_max_length != max_length:
              warnings.warn('''You set different `max_length` for stopping criteria and `max_length` parameter'''			,     lowercase_   )
       elif stopping_max_length is None:
              new_stopping_criteria.append(MaxLengthCriteria(max_length=lowercase_   )   )
       return new_stopping_criteria








import mpmath  # for roots of unity
import numpy as np







class       __A							:




      """simple docstring"""







      def __init__(		self   ,				a__=None   ,				a__=None):



             """simple docstring"""





             _lowerCamelCase				:  List[str]						=		list(poly_a or [0])[:]
             _lowerCamelCase				:  Union[str, Any]						=		list(poly_b or [0])[:]

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

             while self.polyB[-1] == 0:
                    self.polyB.pop()
             _lowerCamelCase				:  Any						=		len(self.polyB)

             # Add 0 to make lengths equal a power of 2
             _lowerCamelCase				:  Dict						=		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
             _lowerCamelCase				:  int						=		complex(mpmath.root(x=1   ,				n=self.c_max_length   ,				k=1))

             # The product
             _lowerCamelCase				:  Optional[int]						=		self.__multiply()


      def 					__snake_case      (		self   ,				a__):



             """simple docstring"""





             _lowerCamelCase				:  List[Any]						=		[[x] for x in self.polyA] if which == '''A''' else [[x] for x in self.polyB]
             # Corner case
             if len(a__) <= 1:
                    return dft[0]
             #
             _lowerCamelCase				:  Optional[Any]						=		self.c_max_length // 2
             while next_ncol > 0:
                    _lowerCamelCase				:  Optional[Any]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  List[str]						=		self.root**next_ncol

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


      def 					__snake_case      (		self):



             """simple docstring"""





             _lowerCamelCase				:  Optional[int]						=		self.__dft('''A''')
             _lowerCamelCase				:  Optional[Any]						=		self.__dft('''B''')
             _lowerCamelCase				:  List[str]						=		[[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
             _lowerCamelCase				:  str						=		2
             while next_ncol <= self.c_max_length:
                    _lowerCamelCase				:  Optional[int]						=		[[] for i in range(a__)]
                    _lowerCamelCase				:  Dict						=		self.root ** (next_ncol // 2)
                    _lowerCamelCase				:  List[str]						=		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
                    _lowerCamelCase				:  Any						=		new_inverse_c
                    next_ncol *= 2
             # Unpack
             _lowerCamelCase				:  Optional[int]						=		[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):



             """simple docstring"""





             _lowerCamelCase				:  Union[str, Any]						=		'''A = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]))
             _lowerCamelCase				:  List[str]						=		'''B = ''' + ''' + '''.join(
                 F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]))
             _lowerCamelCase				:  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()

