


"""simple docstring"""







import mpmath  # for roots of unity
import numpy as np




class  UpperCamelCase_	:

	"""simple docstring"""





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

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

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

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

						# The product
						__SCREAMING_SNAKE_CASE						   =				self.__multiply()




	def   UpperCAmelCase_      ( self			:				Optional[int]			,			UpperCAmelCase__			:				Optional[Any]   )       ->	str:
						__SCREAMING_SNAKE_CASE						   =				[[x] for x in self.polyA] if which == "A" else [[x] for x in self.polyB]
						# Corner case
						if len(UpperCAmelCase__   ) <= 1:
											return dft[0]
						#
						__SCREAMING_SNAKE_CASE						   =				self.c_max_length // 2
						while next_ncol > 0:
											__SCREAMING_SNAKE_CASE						   =				[[] for i in range(UpperCAmelCase__   )]
											__SCREAMING_SNAKE_CASE						   =				self.root**next_ncol

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




	def   UpperCAmelCase_      ( self			:				Union[str, Any]   )       ->	Any:
						__SCREAMING_SNAKE_CASE						   =				self.__dft("A"   )
						__SCREAMING_SNAKE_CASE						   =				self.__dft("B"   )
						__SCREAMING_SNAKE_CASE						   =				[[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
						__SCREAMING_SNAKE_CASE						   =				2
						while next_ncol <= self.c_max_length:
											__SCREAMING_SNAKE_CASE						   =				[[] for i in range(UpperCAmelCase__   )]
											__SCREAMING_SNAKE_CASE						   =				self.root ** (next_ncol // 2)
											__SCREAMING_SNAKE_CASE						   =				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
											__SCREAMING_SNAKE_CASE						   =				new_inverse_c
											next_ncol *= 2
						# Unpack
						__SCREAMING_SNAKE_CASE						   =				[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			:				Optional[int]   )       ->	Any:
						__SCREAMING_SNAKE_CASE						   =				"A = " + " + ".join(
						    F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyA[: self.len_A]   )   )
						__SCREAMING_SNAKE_CASE						   =				"B = " + " + ".join(
						    F"""{coef}*x^{i}""" for coef, i in enumerate(self.polyB[: self.len_B]   )   )
						__SCREAMING_SNAKE_CASE						   =				"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()








import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


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

A__	:			str			   = {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

A__	:			int			   = {
    'vocab_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt'
        ),
        'distilbert-base-german-cased': 'https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt',
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'distilbert-base-uncased': 'https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json',
        'distilbert-base-uncased-distilled-squad': (
            'https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-cased': 'https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json',
        'distilbert-base-cased-distilled-squad': (
            'https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json'
        ),
        'distilbert-base-german-cased': (
            'https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json'
        ),
        'distilbert-base-multilingual-cased': (
            'https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json'
        ),
    },
}

A__	:			Optional[Any]			   = {
    'distilbert-base-uncased': 5_12,
    'distilbert-base-uncased-distilled-squad': 5_12,
    'distilbert-base-cased': 5_12,
    'distilbert-base-cased-distilled-squad': 5_12,
    'distilbert-base-german-cased': 5_12,
    'distilbert-base-multilingual-cased': 5_12,
}


A__	:			List[str]			   = {
    'distilbert-base-uncased': {'do_lower_case': True},
    'distilbert-base-uncased-distilled-squad': {'do_lower_case': True},
    'distilbert-base-cased': {'do_lower_case': False},
    'distilbert-base-cased-distilled-squad': {'do_lower_case': False},
    'distilbert-base-german-cased': {'do_lower_case': False},
    'distilbert-base-multilingual-cased': {'do_lower_case': False},
}
class       _UpperCAmelCase					(       A__	):

				"""simple docstring"""




				lowercase__											=       VOCAB_FILES_NAMES
				lowercase__											=       PRETRAINED_VOCAB_FILES_MAP
				lowercase__											=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				lowercase__											=       PRETRAINED_INIT_CONFIGURATION
				lowercase__											=       ["""input_ids""", """attention_mask"""]
				lowercase__											=       DistilBertTokenizer




				def __init__(     self						:    List[Any],  lowerCamelCase						:    List[Any]=None,  lowerCamelCase						:    Dict=None,  lowerCamelCase						:    str=True,  lowerCamelCase						:    Optional[int]="[UNK]",  lowerCamelCase						:    Optional[Any]="[SEP]",  lowerCamelCase						:    List[Any]="[PAD]",  lowerCamelCase						:    Any="[CLS]",  lowerCamelCase						:    Union[str, Any]="[MASK]",  lowerCamelCase						:    str=True,  lowerCamelCase						:    int=None,  **lowerCamelCase						:    Union[str, Any],  ):

								'''simple docstring'''
								super().__init__(
								    lowerCamelCase,  tokenizer_file=lowerCamelCase,  do_lower_case=lowerCamelCase,  unk_token=lowerCamelCase,  sep_token=lowerCamelCase,  pad_token=lowerCamelCase,  cls_token=lowerCamelCase,  mask_token=lowerCamelCase,  tokenize_chinese_chars=lowerCamelCase,  strip_accents=lowerCamelCase,  **lowerCamelCase,  )

								lowercase__    =			json.loads(self.backend_tokenizer.normalizer.__getstate__()  )
								if (
								    normalizer_state.get('''lowercase''',  lowerCamelCase  ) != do_lower_case
								    or normalizer_state.get('''strip_accents''',  lowerCamelCase  ) != strip_accents
								    or normalizer_state.get('''handle_chinese_chars''',  lowerCamelCase  ) != tokenize_chinese_chars
								):
												lowercase__    =			getattr(lowerCamelCase,  normalizer_state.pop('''type'''  )  )
												lowercase__    =			do_lower_case
												lowercase__    =			strip_accents
												lowercase__    =			tokenize_chinese_chars
												lowercase__    =			normalizer_class(**lowerCamelCase  )

								lowercase__    =			do_lower_case




				def 				lowercase__   (     self						:    str,  lowerCamelCase						:    Optional[Any],  lowerCamelCase						:    List[Any]=None  ):

								'''simple docstring'''
								lowercase__    =			[self.cls_token_id] + token_ids_a + [self.sep_token_id]

								if token_ids_a:
												output += token_ids_a + [self.sep_token_id]

								return output




				def 				lowercase__   (     self						:    Union[str, Any],  lowerCamelCase						:    List[int],  lowerCamelCase						:    Optional[List[int]] = None  ):

								'''simple docstring'''
								lowercase__    =			[self.sep_token_id]
								lowercase__    =			[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  ) * [0] + len(token_ids_a + sep  ) * [1]




				def 				lowercase__   (     self						:    str,  lowerCamelCase						:    str,  lowerCamelCase						:    Optional[str] = None  ):

								'''simple docstring'''
								lowercase__    =			self._tokenizer.model.save(lowerCamelCase,  name=lowerCamelCase  )
								return tuple(lowerCamelCase  )




