




"""simple docstring"""




from typing import Dict, List, Optional

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase							:    str  							=							logging.get_logger(__name__)


lowerCAmelCase							:    List[Any]  							=							{
    """nielsr/canine-s""": 2048,
}

# Unicode defines 1,114,112 total “codepoints”
lowerCAmelCase							:    Union[str, Any]  							=							111_4112

# Below: Constants defining canonical codepoints for special, pseudo-characters.
# Copied from https://github.com/google-research/language/blob/master/language/canine/special_codepoints.py
lowerCAmelCase							:    Dict  							=							0

lowerCAmelCase							:    int  							=							0XE0_00
lowerCAmelCase							:    Any  							=							0XE0_01
lowerCAmelCase							:    Tuple  							=							0XE0_02
lowerCAmelCase							:    str  							=							0XE0_03
lowerCAmelCase							:    Optional[Any]  							=							0XE0_04

# Maps special codepoints to human-readable names.
lowerCAmelCase							:    List[Any]  							=							{
    # Special symbols are represented using codepoints values that are valid,
    # but designated as "Private Use", meaning that they will never be assigned
    # characters by the Unicode Consortium, and are thus safe for use here.
    #
    # NOTE: Do *NOT* add any sort of [UNK_CHAR] here. They are explicitly
    # excluded and should fail with a hard error.
    CLS: """[CLS]""",
    SEP: """[SEP]""",
    BOS: """[BOS]""",
    MASK: """[MASK]""",
    PAD: """[PAD]""",
    RESERVED: """[RESERVED]""",
}

# Maps special codepoint human-readable names to their codepoint values.
lowerCAmelCase							:    Optional[int]  							=							{name: codepoint for codepoint, name in SPECIAL_CODEPOINTS.items()}






class 					__magic_name__							( UpperCAmelCase__       ):






				'''simple docstring'''
				__UpperCamelCase    						=		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES





				def __init__( self	,				_a=chr(_a				)	,				_a=chr(_a				)	,				_a=chr(_a				)	,				_a=chr(_a				)	,				_a=chr(_a				)	,				_a=chr(_a				)	,				_a=False	,				_a=2_048	,				**_a	,				):





							"""simple docstring"""
							lowerCamelCase       =      AddedToken(_a	,				lstrip=_a	,				rstrip=_a				) if isinstance(_a	,				_a				) else bos_token
							lowerCamelCase       =      AddedToken(_a	,				lstrip=_a	,				rstrip=_a				) if isinstance(_a	,				_a				) else eos_token
							lowerCamelCase       =      AddedToken(_a	,				lstrip=_a	,				rstrip=_a				) if isinstance(_a	,				_a				) else sep_token
							lowerCamelCase       =      AddedToken(_a	,				lstrip=_a	,				rstrip=_a				) if isinstance(_a	,				_a				) else cls_token
							lowerCamelCase       =      AddedToken(_a	,				lstrip=_a	,				rstrip=_a				) if isinstance(_a	,				_a				) else pad_token

							# Mask token behave like a normal word, i.e. include the space before it
							lowerCamelCase       =      AddedToken(_a	,				lstrip=_a	,				rstrip=_a				) if isinstance(_a	,				_a				) else mask_token

							super().__init__(
							    bos_token=_a	,				eos_token=_a	,				sep_token=_a	,				cls_token=_a	,				pad_token=_a	,				mask_token=_a	,				add_prefix_space=_a	,				model_max_length=_a	,				**_a	,				)

							# Creates a mapping for looking up the IDs of special symbols.
							lowerCamelCase       =      {}
							for codepoint, name in SPECIAL_CODEPOINTS.items():
										lowerCamelCase       =      codepoint

							# Creates a mapping for looking up the string forms of special symbol IDs.
							lowerCamelCase       =      {
							    codepoint: name for name, codepoint in self._special_codepoints.items()
							}

							lowerCamelCase       =      UNICODE_VOCAB_SIZE
							lowerCamelCase       =      len(self._special_codepoints				)





				@property
				def      _lowerCAmelCase       ( self				):





							"""simple docstring"""
							return self._unicode_vocab_size





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							return list(_a				)





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""







							try:
										return ord(_a				)
							except TypeError:
										raise ValueError(f'invalid token: \'{token}\''				)





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""







							try:
										if index in SPECIAL_CODEPOINTS:
													return SPECIAL_CODEPOINTS[index]
										return chr(_a				)
							except TypeError:
										raise ValueError(f'invalid id: {index}'				)





				def      _lowerCAmelCase       ( self	,				_a				):





							"""simple docstring"""
							return "".join(_a				)





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None				):





							"""simple docstring"""
							lowerCamelCase       =      [self.sep_token_id]
							lowerCamelCase       =      [self.cls_token_id]

							lowerCamelCase       =      cls + token_ids_a + sep
							if token_ids_a is not None:
										result += token_ids_a + sep
							return result





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None	,				_a = False				):





							"""simple docstring"""







							if already_has_special_tokens:
										return super().get_special_tokens_mask(
										    token_ids_a=_a	,				token_ids_a=_a	,				already_has_special_tokens=_a				)

							lowerCamelCase       =      [1] + ([0] * len(_a				)) + [1]
							if token_ids_a is not None:
										result += ([0] * len(_a				)) + [1]
							return result





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None				):





							"""simple docstring"""
							lowerCamelCase       =      [self.sep_token_id]
							lowerCamelCase       =      [self.cls_token_id]

							lowerCamelCase       =      len(cls + token_ids_a + sep				) * [0]
							if token_ids_a is not None:
										result += len(token_ids_a + sep				) * [1]
							return result





				def      _lowerCAmelCase       ( self	,				_a	,				_a = None				):





							"""simple docstring"""
							return ()









"""simple docstring"""




from __future__ import annotations

lowerCAmelCase							:    str  							=							[-10, -5, 0, 5, 5.1, 11, 13, 21, 3, 4, -21, -10, -5, -1, 0]
lowerCAmelCase							:    Dict  							=							[-5, 0, 5, 5.1, 11, 13, 21, -1, 4, -1, -10, -5, -1, 0, -1]



def 					a__				(       snake_case__       )		->      list[float]:
			lowerCamelCase       =      []
			lowerCamelCase       =      len(snake_case__       )

			for i in range(snake_case__       ):
						lowerCamelCase       =      -1
						for j in range(i + 1 ,				snake_case__       ):
									if arr[i] < arr[j]:
												lowerCamelCase       =      arr[j]
												break
						result.append(snake_case__       )
			return result



def 					a__				(       snake_case__       )		->      list[float]:
			lowerCamelCase       =      []
			for i, outer in enumerate(snake_case__       ):
						lowerCamelCase       =      -1
						for inner in arr[i + 1 :]:
									if outer < inner:
												lowerCamelCase       =      inner
												break
						result.append(snake_case__       )
			return result



def 					a__				(       snake_case__       )		->      list[float]:
			lowerCamelCase       =      len(snake_case__       )
			lowerCamelCase       =      []
			lowerCamelCase       =      [-1] * arr_size

			for index in reversed(range(snake_case__       )       ):
						if stack:
									while stack[-1] <= arr[index]:
												stack.pop()
												if not stack:
															break
						if stack:
									lowerCamelCase       =      stack[-1]
						stack.append(arr[index]       )
			return result


if __name__ == "__main__":
					from doctest import testmod
					from timeit import timeit

					testmod()
					print(next_greatest_element_slow(arr))
					print(next_greatest_element_fast(arr))
					print(next_greatest_element(arr))

					lowerCAmelCase							:    Dict  							=							(
					    """from __main__ import arr, next_greatest_element_slow, """
					    """next_greatest_element_fast, next_greatest_element"""
					)
					print(
					    """next_greatest_element_slow():""",
					    timeit("""next_greatest_element_slow(arr)""", setup=setup),
					)
					print(
					    """next_greatest_element_fast():""",
					    timeit("""next_greatest_element_fast(arr)""", setup=setup),
					)
					print(
					    """     next_greatest_element():""",
					    timeit("""next_greatest_element(arr)""", setup=setup),
					)



