
from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


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

lowerCamelCase_						: Union[str, Any]         =  {
    """vocab_file""": """vocab.json""",
    """merges_file""": """merges.txt""",
    """tokenizer_config_file""": """tokenizer_config.json""",
}

lowerCamelCase_						: Optional[int]         =  {
    """vocab_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"""
    },
    """merges_file""": {
        """facebook/blenderbot_small-90M""": """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"""
    },
    """tokenizer_config_file""": {
        """facebook/blenderbot_small-90M""": (
            """https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"""
        )
    },
}

lowerCamelCase_						: int         =  {
    """facebook/blenderbot_small-90M""": 5_12,
}

class        _UpperCamelCase				(					_A  ):






			'''simple docstring'''

			__UpperCamelCase      :						int					      = VOCAB_FILES_NAMES
			__UpperCamelCase      :						Union[str, Any]					      = PRETRAINED_VOCAB_FILES_MAP
			__UpperCamelCase      :						Optional[int]					      = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			__UpperCamelCase      :						str					      = BlenderbotSmallTokenizer

			def __init__(       self :       Any						,	snake_case_ :       Optional[int]=None						,	snake_case_ :       Union[str, Any]=None						,	snake_case_ :       Dict="<|endoftext|>"						,	snake_case_ :       Optional[int]="<|endoftext|>"						,	snake_case_ :       Dict="<|endoftext|>"						,	snake_case_ :       Tuple=False						,	snake_case_ :       Optional[Any]=True						,	**snake_case_ :       str						,	):
							super().__init__(
							    ByteLevelBPETokenizer(
							        vocab=snake_case_						,	merges=snake_case_						,	add_prefix_space=snake_case_						,	trim_offsets=snake_case_						,	)						,	bos_token=snake_case_						,	eos_token=snake_case_						,	unk_token=snake_case_						,	**snake_case_						,	)
							UpperCamelCase_:							str	=						add_prefix_space

			def       lowerCAmelCase__	(       self :       str						,	snake_case_ :       List[str]						,	snake_case_ :       str=None      ):
							UpperCamelCase_:							Dict	=						[self.bos_token_id] + token_ids_a + [self.eos_token_id]
							if token_ids_a is None:
											return output

							return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]




			def       lowerCAmelCase__	(       self :       Union[str, Any]						,	snake_case_ :       List[int]						,	snake_case_ :       Optional[List[int]] = None      ):
							UpperCamelCase_:							Optional[Any]	=						[self.sep_token_id]
							UpperCamelCase_:							List[Any]	=						[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 + sep + token_ids_a + sep      ) * [0]






from sympy import diff, lambdify, symbols
from sympy.functions import *  # noqa: F403







def        A__					(						lowerCamelCase     ,    lowerCamelCase     ,    lowerCamelCase = "x"     ,    lowerCamelCase = 10**-10     ,    lowerCamelCase = 1     ,    )  ->	complex:
				UpperCamelCase_:							Optional[Any]	=						symbols(lowerCamelCase						)
				UpperCamelCase_:							int	=						lambdify(lowerCamelCase     ,    lowerCamelCase						)
				UpperCamelCase_:							Optional[Any]	=						lambdify(lowerCamelCase     ,    diff(lowerCamelCase     ,    lowerCamelCase						)						)

				UpperCamelCase_:							Tuple	=						starting_point

				while True:
								if diff_function(lowerCamelCase						) != 0:
												UpperCamelCase_:							List[Any]	=						prev_guess - multiplicity * func(lowerCamelCase						) / diff_function(
												    lowerCamelCase						)
								else:
												raise ZeroDivisionError("""Could not find root"""						) from None

								# Precision is checked by comparing the difference of consecutive guesses
								if abs(next_guess - prev_guess						) < precision:
												return next_guess

								UpperCamelCase_:							Any	=						next_guess


# Let's Execute
if __name__ == "__main__":
							# Find root of trigonometric function
							# Find value of pi
							print(F"""The root of sin(x) = 0 is {newton_raphson('sin(x)', 2)}""")

							# Find root of polynomial
							# Find fourth Root of 5
							print(F"""The root of x**4 - 5 = 0 is {newton_raphson('x**4 -5', 0.4 +5J)}""")

							# Find value of e
							print(
							    """The root of log(y) - 1 = 0 is """,
							    F"""{newton_raphson('log(y) - 1', 2, variable='y')}""",
							)

							# Exponential Roots
							print(
							    """The root of exp(x) - 1 = 0 is""",
							    F"""{newton_raphson('exp(x) - 1', 10, precision=0.005)}""",
							)

							# Find root of cos(x)
							print(F"""The root of cos(x) = 0 is {newton_raphson('cos(x)', 0)}""")






