"""simple docstring"""


import collections
import json
import os
import re
from typing import TYPE_CHECKING, List, Optional, Tuple

import numpy as np

from ...tokenization_utils_fast import PreTrainedTokenizer
from ...utils import logging


if TYPE_CHECKING:
 from transformers.pipelines.conversational import Conversation


lowerCAmelCase_:					List[str]     =					logging.get_logger(__name__)

lowerCAmelCase_:					Union[str, Any]     =					{"vocab_file": "vocab.txt", "emoji_file": "emoji.json"}

lowerCAmelCase_:					int     =					{
    "vocab_file": {
        "abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/vocab.txt",
    },
    "emoji_file": {
        "abeja/gpt-neox-japanese-2.7b": "https://huggingface.co/abeja/gpt-neox-japanese-2.7b/resolve/main/emoji.json",
    },
}

lowerCAmelCase_:					Dict     =					{
    "abeja/gpt-neox-japanese-2.7b": 2_0_4_8,
}







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     with open(A    ,				"r"    ,				encoding="utf-8"      ) as f:
          lowercase__				 =							json.loads(f.read()      )

     lowercase__				 =							collections.OrderedDict()
     lowercase__				 =							collections.OrderedDict()
     lowercase__				 =							collections.OrderedDict()
     with open(A    ,				"r"    ,				encoding="utf-8"      ) as f:
          lowercase__				 =							f.readlines()
     lowercase__				 =							[[t.rstrip("\n"      )] if (t == "," or "," not in t) else t.rstrip("\n"      ).split(","      ) for t in token]
     for idx, b in enumerate(A      ):
          lowercase__				 =							b
          lowercase__				 =							idx
          for wd in b:
               lowercase__				 =							idx

     return vocab, raw_vocab, ids_to_tokens, emoji






class    a__    (   _a	):
   snake_case_							=      VOCAB_FILES_NAMES
   snake_case_							=      PRETRAINED_VOCAB_FILES_MAP
   snake_case_							=      PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   snake_case_							=      ["input_ids", "attention_mask"]


   def __init__(     self,				_UpperCAmelCase,				_UpperCAmelCase,				_UpperCAmelCase="<|endoftext|>",				_UpperCAmelCase="<|endoftext|>",				_UpperCAmelCase="<|startoftext|>",				_UpperCAmelCase="<|endoftext|>",				_UpperCAmelCase=False,				**_UpperCAmelCase,				):
        '''simple docstring'''



        super().__init__(
            unk_token=_UpperCAmelCase,				pad_token=_UpperCAmelCase,				bos_token=_UpperCAmelCase,				eos_token=_UpperCAmelCase,				do_clean_text=_UpperCAmelCase,				**_UpperCAmelCase,				)
        if not os.path.isfile(_UpperCAmelCase  ):
             raise ValueError(
                 F'''Can\'t find a vocabulary file at path \'{vocab_file}\'. To load the vocabulary from a Google pretrained'''
                 " model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"  )
        if not os.path.isfile(_UpperCAmelCase  ):
             raise ValueError(
                 F'''Can\'t find a emoji file at path \'{emoji_file}\'. To load the emoji information from a Google'''
                 " pretrained model use `tokenizer = GPTNeoXJapaneseokenizer.from_pretrained(PRETRAINED_MODEL_NAME)`"  )
        lowercase__				 =							do_clean_text
        lowercase__ ,						lowercase__ ,						lowercase__ ,						lowercase__				 =							load_vocab_and_emoji(_UpperCAmelCase,				_UpperCAmelCase  )
        lowercase__				 =							SubWordJapaneseTokenizer(
            vocab=self.vocab,				ids_to_tokens=self.ids_to_tokens,				emoji=self.emoji  )


   @property
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return len(self.raw_vocab  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return dict(self.raw_vocab,				**self.added_tokens_encoder  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return self.subword_tokenizer.tokenize(_UpperCAmelCase,				clean=self.do_clean_text  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return self.vocab.get(_UpperCAmelCase,				self.vocab.get(self.unk_token  )  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        return self.subword_tokenizer.convert_id_to_token(_UpperCAmelCase  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							"".join(_UpperCAmelCase  ).strip()
        return out_string


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							[]
        for is_user, text in conversation.iter_texts():
             input_ids.extend(self.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  ) + [self.eos_token_id]  )

        if len(_UpperCAmelCase  ) > self.model_max_length:
             lowercase__				 =							input_ids[-self.model_max_length :]
        return input_ids


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase = None  ):
        '''simple docstring'''



        lowercase__				 =							0
        if os.path.isdir(_UpperCAmelCase  ):
             lowercase__				 =							os.path.join(
                 _UpperCAmelCase,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]  )
             lowercase__				 =							os.path.join(
                 _UpperCAmelCase,				(filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["emoji_file"]  )
        else:
             lowercase__				 =							(
                 (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["vocab_file"]
             )
             lowercase__				 =							(
                 (filename_prefix + "-" if filename_prefix else "") + save_directory + VOCAB_FILES_NAMES["emoji_file"]
             )
        with open(_UpperCAmelCase,				"w",				encoding="utf-8"  ) as writer:
             for token_index, token in self.ids_to_tokens.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!"  )
                       lowercase__				 =							token_index
                  writer.write(",".join(_UpperCAmelCase  ) + "\n"  )
                  index += 1
        with open(_UpperCAmelCase,				"w",				encoding="utf-8"  ) as writer:
             json.dump(self.emoji,				_UpperCAmelCase  )
        return vocab_file, emoji_file






class    a__    (   _a	):


   def __init__(     self,				_UpperCAmelCase,				_UpperCAmelCase,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							vocab  # same as swe
        lowercase__				 =							ids_to_tokens  # same as bpe
        lowercase__				 =							emoji
        lowercase__				 =							np.max([len(_UpperCAmelCase  ) for w in self.vocab.keys()]  )
        lowercase__				 =							re.compile(R"(https?|ftp)(:\/\/[-_\.!~*\'()a-zA-Z0-9;\/?:\@&=\+$,%#]+)"  )
        lowercase__				 =							re.compile(R"[A-Za-z0-9\._+]*@[\-_0-9A-Za-z]+(\.[A-Za-z]+)*"  )
        lowercase__				 =							re.compile(R"[\(]{0,1}[0-9]{2,4}[\)\-\(]{0,1}[0-9]{2,4}[\)\-]{0,1}[0-9]{3,4}"  )
        lowercase__				 =							re.compile(
            R"([12]\d{3}[/\-年])*(0?[1-9]|1[0-2])[/\-月]((0?[1-9]|[12][0-9]|3[01])日?)*(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"  )
        lowercase__				 =							re.compile(
            R"(明治|大正|昭和|平成|令和|㍾|㍽|㍼|㍻|\u32ff)\d{1,2}年(0?[1-9]|1[0-2])月(0?[1-9]|[12][0-9]|3[01])日(\d{1,2}|:|\d{1,2}時|\d{1,2}分|\(日\)|\(月\)|\(火\)|\(水\)|\(木\)|\(金\)|\(土\)|㈰|㈪|㈫|㈬|㈭|㈮|㈯)*"  )
        lowercase__				 =							re.compile(
            R"((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*億)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*万)*((0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*千)*(0|[1-9]\d*|[1-9]\d{0,2}(,\d{3})+)*(千円|万円|千万円|円|千ドル|万ドル|千万ドル|ドル|千ユーロ|万ユーロ|千万ユーロ|ユーロ)+(\(税込\)|\(税抜\)|\+tax)*"  )
        lowercase__				 =							"─━│┃┄┅┆┇┈┉┊┋┌┍┎┏┐┑┒┓└┕┖┗┘┙┚┛├┝┞┟┠┡┢┣┤┥┦┧┨┩┪┫┬┭┮┯┰┱┲┳┴┵┶┷┸┹┺┻┼┽┾┿╀╁╂╃╄╅╆╇╈╉╊╋╌╍╎╏═║╒╓╔╕╖╗╘╙╚╛╜╝╞╟╠╡╢╣╤╥╦╧╨╩╪╫╬╭╮╯╰╱╲╳╴╵╶╷╸╹╺╻╼╽╾╿"
        lowercase__				 =							"▀▁▂▃▄▅▆▇█▉▊▋▌▍▎▏▐░▒▓▔▕▖▗▘▙▚▛▜▝▞▟"
        lowercase__				 =							str.maketrans({k: "<BLOCK>" for k in keisen + blocks}  )


   def __len__(     self  ):
        '''simple docstring'''



        return len(self.ids_to_tokens  )


   def 	snake_case__	(     self,				_UpperCAmelCase  ):
        '''simple docstring'''



        lowercase__				 =							self.content_repattera.sub("<URL>",				_UpperCAmelCase  )
        lowercase__				 =							self.content_repattera.sub("<EMAIL>",				_UpperCAmelCase  )
        lowercase__				 =							self.content_repattera.sub("<TEL>",				_UpperCAmelCase  )
        lowercase__				 =							self.content_repattera.sub("<DATE>",				_UpperCAmelCase  )
        lowercase__				 =							self.content_repattera.sub("<DATE>",				_UpperCAmelCase  )
        lowercase__				 =							self.content_repattera.sub("<PRICE>",				_UpperCAmelCase  )
        lowercase__				 =							content.translate(self.content_transa  )
        while "<BLOCK><BLOCK>" in content:
             lowercase__				 =							content.replace("<BLOCK><BLOCK>",				"<BLOCK>"  )
        return content


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase=False  ):
        '''simple docstring'''



        lowercase__				 =							text.replace(" ",				"<SP>"  )
        lowercase__				 =							text.replace("　",				"<SP>"  )
        lowercase__				 =							text.replace("\r\n",				"<BR>"  )
        lowercase__				 =							text.replace("\n",				"<BR>"  )
        lowercase__				 =							text.replace("\r",				"<BR>"  )
        lowercase__				 =							text.replace("\t",				"<TAB>"  )
        lowercase__				 =							text.replace("—",				"ー"  )
        lowercase__				 =							text.replace("−",				"ー"  )
        for k, v in self.emoji["emoji"].items():
             if k in text:
                  lowercase__				 =							text.replace(_UpperCAmelCase,				_UpperCAmelCase  )
        if clean:
             lowercase__				 =							self.clean_text(_UpperCAmelCase  )

        def check_simbol(_UpperCAmelCase  ):
             lowercase__				 =							x.encode()
             if len(_UpperCAmelCase  ) == 1 and len(_UpperCAmelCase  ) == 2:
                  lowercase__				 =							(int(e[0]  ) << 8) + int(e[1]  )
                  if (
                      (c >= 0Xc2a1 and c <= 0Xc2bf)
                      or (c >= 0Xc780 and c <= 0Xc783)
                      or (c >= 0Xcab9 and c <= 0Xcbbf)
                      or (c >= 0Xcc80 and c <= 0Xcda2)
                  ):
                       return True
             return False

        def checkuae(_UpperCAmelCase  ):
             lowercase__				 =							x.encode()
             if len(_UpperCAmelCase  ) == 1 and len(_UpperCAmelCase  ) == 3:
                  lowercase__				 =							(int(e[0]  ) << 16) + (int(e[1]  ) << 8) + int(e[2]  )
                  if c >= 0Xe2_8080 and c <= 0Xe2_b07f:
                       return True
             return False

        lowercase__				 =							0
        lowercase__				 =							[]
        while pos < len(_UpperCAmelCase  ):
             lowercase__				 =							min(len(_UpperCAmelCase  ),				pos + self.maxlen + 1  ) if text[pos] == "<" else pos + 3
             lowercase__				 =							[]  # (token_id, token, pos)
             for e in range(_UpperCAmelCase,				_UpperCAmelCase,				-1  ):
                  lowercase__				 =							text[pos:e]
                  if wd in self.vocab:
                       if wd[0] == "<" and len(_UpperCAmelCase  ) > 2:
                            lowercase__				 =							[(self.vocab[wd], wd, e)]
                            break
                       else:
                            candidates.append((self.vocab[wd], wd, e)  )
             if len(_UpperCAmelCase  ) > 0:
                  # the smallest token_id is adopted
                  lowercase__ ,						lowercase__ ,						lowercase__				 =							sorted(_UpperCAmelCase,				key=lambda _UpperCAmelCase  : x[0]  )[0]
                  result.append(_UpperCAmelCase  )
                  lowercase__				 =							e
             else:
                  lowercase__				 =							pos + 1
                  lowercase__				 =							text[pos:end]
                  if check_simbol(_UpperCAmelCase  ):
                       result.append("<KIGOU>"  )
                  elif checkuae(_UpperCAmelCase  ):
                       result.append("<U2000U2BFF>"  )
                  else:
                       for i in wd.encode("utf-8"  ):
                            result.append("<|byte%d|>" % i  )
                  lowercase__				 =							end
        return result


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase="\n"  ):
        '''simple docstring'''



        lowercase__				 =							[]
        lowercase__				 =							[]
        lowercase__				 =							self.ids_to_tokens[index][0]
        if word[:6] == "<|byte" and word[-2:] == "|>":
             byte_tokens.append(int(word[6:-2]  )  )
        else:
             if len(_UpperCAmelCase  ) > 0:
                  words.append(bytearray(_UpperCAmelCase  ).decode("utf-8",				errors="replace"  )  )
                  lowercase__				 =							[]
             if word[:7] == "<|emoji" and word[-2:] == "|>":
                  words.append(self.emoji["emoji_inv"][word]  )
             elif word == "<SP>":
                  words.append(" "  )
             elif word == "<BR>":
                  words.append(_UpperCAmelCase  )
             elif word == "<TAB>":
                  words.append("\t"  )
             elif word == "<BLOCK>":
                  words.append("▀"  )
             elif word == "<KIGOU>":
                  words.append("ǀ"  )
             elif word == "<U2000U2BFF>":
                  words.append("‖"  )
             else:
                  words.append(_UpperCAmelCase  )
        if len(_UpperCAmelCase  ) > 0:
             words.append(bytearray(_UpperCAmelCase  ).decode("utf-8",				errors="replace"  )  )
        lowercase__				 =							"".join(_UpperCAmelCase  )
        return text





"""simple docstring"""


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







def 					__a   (		A    ,				A    ,				A = "x"    ,				A = 10**-10    ,				A = 1    ,				):






     '''simple docstring'''



     lowercase__				 =							symbols(A      )
     lowercase__				 =							lambdify(A    ,				A      )
     lowercase__				 =							lambdify(A    ,				diff(A    ,				A      )      )

     lowercase__				 =							starting_point

     while True:
          if diff_function(A      ) != 0:
               lowercase__				 =							prev_guess - multiplicity * func(A      ) / diff_function(
                   A      )
          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

          lowercase__				 =							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", 1_0, precision=0.005)}',
 )

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




