




"""simple docstring"""







import collections
import os
from typing import List, Optional, Tuple

from transformers.utils import is_jieba_available, requires_backends


if is_jieba_available():
		import jieba

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a      =							logging.get_logger(__name__)

a      =							{'vocab_file': 'vocab.txt'}

a      =							{
    'vocab_file': {
        'openbmb/cpm-ant-10b': 'https://huggingface.co/openbmb/cpm-ant-10b/blob/main/vocab.txt',
    },
}

a      =							{
    'openbmb/cpm-ant-10b': 1_0_2_4,
}





def 							lowercase					(snake_case__   : Any )     ->  Optional[int]:


				'''simple docstring'''






				lowerCAmelCase  =				collections.OrderedDict()
				with open(_lowerCAmelCase      ,       """r"""      ,       encoding="""utf-8""" ) as reader:
								lowerCAmelCase  =				reader.readlines()
				for index, token in enumerate(_lowerCAmelCase ):
								lowerCAmelCase  =				token.rstrip("""\n""" )
								lowerCAmelCase  =				index
				return vocab






class       SCREAMING_SNAKE_CASE__					(					__UpperCAmelCase					):


						def __init__(							self				:			str						,						lowerCAmelCase				:			List[Any]						,						lowerCAmelCase				:			List[Any]="<unk>"						,						lowerCAmelCase				:			str=200					):
										lowerCAmelCase  =				vocab
										lowerCAmelCase  =				unk_token
										lowerCAmelCase  =				max_input_chars_per_word




						def   __lowercase (							self				:			str						,						lowerCAmelCase				:			List[str]					):
										lowerCAmelCase  =				list(_lowerCamelCase					)
										if len(_lowerCamelCase					) > self.max_input_chars_per_word:
														return [self.unk_token]

										lowerCAmelCase  =				0
										lowerCAmelCase  =				[]
										while start < len(_lowerCamelCase					):
														lowerCAmelCase  =				len(_lowerCamelCase					)
														lowerCAmelCase  =				None
														while start < end:
																		lowerCAmelCase  =				"""""".join(chars[start:end]					)
																		if substr in self.vocab:
																						lowerCAmelCase  =				substr
																						break
																		end -= 1
														if cur_substr is None:
																		sub_tokens.append(self.unk_token					)
																		start += 1
														else:
																		sub_tokens.append(_lowerCamelCase					)
																		lowerCAmelCase  =				end

										return sub_tokens






class       SCREAMING_SNAKE_CASE__					(					__UpperCAmelCase					):
						_a    						=						VOCAB_FILES_NAMES
						_a    						=						PRETRAINED_VOCAB_FILES_MAP
						_a    						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
						_a    						=						["input_ids", "attention_mask"]
						_a    						=						False


						def __init__(							self				:			Dict						,						lowerCAmelCase				:			str						,						lowerCAmelCase				:			List[Any]="<d>"						,						lowerCAmelCase				:			List[Any]="</d>"						,						lowerCAmelCase				:			Dict="<s>"						,						lowerCAmelCase				:			Optional[int]="</s>"						,						lowerCAmelCase				:			Dict="<pad>"						,						lowerCAmelCase				:			Optional[Any]="<unk>"						,						lowerCAmelCase				:			Dict="</n>"						,						lowerCAmelCase				:			Any="</_>"						,						lowerCAmelCase				:			int="left"						,						**lowerCAmelCase				:			List[str]						,						):
										requires_backends(self						,						["""jieba"""]					)
										super().__init__(
										    bod_token=_lowerCamelCase						,						eod_token=_lowerCamelCase						,						bos_token=_lowerCamelCase						,						eos_token=_lowerCamelCase						,						pad_token=_lowerCamelCase						,						unk_token=_lowerCamelCase						,						line_token=_lowerCamelCase						,						space_token=_lowerCamelCase						,						padding_side=_lowerCamelCase						,						**_lowerCamelCase						,						)
										lowerCAmelCase  =				bod_token
										lowerCAmelCase  =				eod_token
										lowerCAmelCase  =				load_vocab(_lowerCamelCase					)
										lowerCAmelCase  =				self.encoder[space_token]
										lowerCAmelCase  =				self.encoder[line_token]

										del self.encoder[space_token]
										del self.encoder[line_token]

										lowerCAmelCase  =				collections.OrderedDict(sorted(self.encoder.items()						,						key=lambda lowerCAmelCase					: x[1]					)					)
										lowerCAmelCase  =				{v: k for k, v in self.encoder.items()}

										lowerCAmelCase  =				WordpieceTokenizer(vocab=self.encoder						,						unk_token=self.unk_token					)


						@property
						def   __lowercase (							self				:			Optional[int]					):
										return self.encoder[self.bod_token]


						@property
						def   __lowercase (							self				:			List[Any]					):
										return self.encoder[self.eod_token]


						@property
						def   __lowercase (							self				:			Union[str, Any]					):
										return self.encoder["\n"]


						@property
						def   __lowercase (							self				:			List[str]					):
										return len(self.encoder					)


						def   __lowercase (							self				:			Optional[int]					):
										return dict(self.encoder						,						**self.added_tokens_encoder					)


						def   __lowercase (							self				:			List[str]						,						lowerCAmelCase				:			str					):
										lowerCAmelCase  =				[]
										for x in jieba.cut(_lowerCamelCase						,						cut_all=_lowerCamelCase					):
														output_tokens.extend(self.wordpiece_tokenizer.tokenize(_lowerCamelCase					)					)
										return output_tokens


						def   __lowercase (							self				:			Tuple						,						lowerCAmelCase				:			int						,						**lowerCAmelCase				:			Optional[Any]					):
										lowerCAmelCase  =				[i for i in token_ids if i >= 0]
										lowerCAmelCase  =				[
										    x for x in token_ids if x != self.pad_token_id and x != self.eos_token_id and x != self.bos_token_id
										]
										return super()._decode(_lowerCamelCase						,						**_lowerCamelCase					)


						def   __lowercase (							self				:			Optional[int]						,						lowerCAmelCase				:			Dict					):
										return token in self.encoder


						def   __lowercase (							self				:			List[str]						,						lowerCAmelCase				:			List[str]					):
										return "".join(_lowerCamelCase					)


						def   __lowercase (							self				:			Optional[int]						,						lowerCAmelCase				:			str					):
										return self.encoder.get(_lowerCamelCase						,						self.encoder.get(self.unk_token					)					)


						def   __lowercase (							self				:			Optional[int]						,						lowerCAmelCase				:			Dict					):
										return self.decoder.get(_lowerCamelCase						,						self.unk_token					)


						def   __lowercase (							self				:			Union[str, Any]						,						lowerCAmelCase				:			str						,						lowerCAmelCase				:			Optional[str] = None					):
										if os.path.isdir(_lowerCamelCase					):
														lowerCAmelCase  =				os.path.join(
														    _lowerCamelCase						,						(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]					)
										else:
														lowerCAmelCase  =				(filename_prefix + """-""" if filename_prefix else """""") + save_directory
										lowerCAmelCase  =				0
										if " " in self.encoder:
														lowerCAmelCase  =				self.encoder[""" """]
														del self.encoder[" "]
										if "\n" in self.encoder:
														lowerCAmelCase  =				self.encoder["""\n"""]
														del self.encoder["\n"]
										lowerCAmelCase  =				collections.OrderedDict(sorted(self.encoder.items()						,						key=lambda lowerCAmelCase					: x[1]					)					)
										with open(_lowerCamelCase						,						"""w"""						,						encoding="""utf-8"""					) as writer:
														for token, token_index in self.encoder.items():
																		if index != token_index:
																						logger.warning(
																						    f'''Saving vocabulary to {vocab_file}: vocabulary indices are not consecutive.'''
																						    """ Please check that the vocabulary is not corrupted!"""					)
																						lowerCAmelCase  =				token_index
																		writer.write(token + """\n"""					)
																		index += 1
										return (vocab_file,)


						def   __lowercase (							self				:			Union[str, Any]						,						lowerCAmelCase				:			List[int]						,						lowerCAmelCase				:			List[int] = None					):
										if token_ids_a is None:
														return [self.bos_token_id] + token_ids_a
										return [self.bos_token_id] + token_ids_a + [self.bos_token_id] + token_ids_a




						def   __lowercase (							self				:			List[Any]						,						lowerCAmelCase				:			List[int]						,						lowerCAmelCase				:			Optional[List[int]] = None						,						lowerCAmelCase				:			bool = False					):

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

										if token_ids_a is not None:
														return [1] + ([0] * len(_lowerCamelCase					)) + [1] + ([0] * len(_lowerCamelCase					))
										return [1] + ([0] * len(_lowerCamelCase					))











"""simple docstring"""







from __future__ import annotations

from decimal import Decimal
from math import *  # noqa: F403

from sympy import diff





def 							lowercase					(snake_case__   : str      ,       snake_case__   : float | Decimal      ,       snake_case__   : float = 10**-10 )     ->  float:


				'''simple docstring'''






				lowerCAmelCase  =				a
				while True:
								lowerCAmelCase  =				Decimal(snake_case__ ) - (
								    Decimal(eval(snake_case__ ) ) / Decimal(eval(str(diff(snake_case__ ) ) ) )  # noqa: S307
								)
								# This number dictates the accuracy of the answer
								if abs(eval(snake_case__ ) ) < precision:  # noqa: S307
												return float(snake_case__ )


# 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
		print(f"""The root of x**2 - 5*x + 2 = 0 is {newton_raphson("x**2 - 5*x + 2", 0.4)}""")
		# Find Square Root of 5
		print(f"""The root of log(x) - 1 = 0 is {newton_raphson("log(x) - 1", 2)}""")
		# Exponential Roots
		print(f"""The root of exp(x) - 1 = 0 is {newton_raphson("exp(x) - 1", 0)}""")





