

import json
import os
from pathlib import Path
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple, Union

import sentencepiece

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


UpperCAmelCase_							:					Dict		 =   logging.get_logger(__name__)

UpperCAmelCase_							:					Dict		 =   '''▁'''

UpperCAmelCase_							:					List[str]		 =   {
    '''vocab_file''': '''vocab.json''',
    '''spm_file''': '''sentencepiece.bpe.model''',
    '''tokenizer_config_file''': '''tokenizer_config.json''',
}

UpperCAmelCase_							:					Dict		 =   {
    '''vocab_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/vocab.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/vocab.json''',
    },
    '''spm_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/sentencepiece.bpe.model''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/sentencepiece.bpe.model''',
    },
    '''tokenizer_config_file''': {
        '''facebook/m2m100_418M''': '''https://huggingface.co/facebook/m2m100_418M/resolve/main/tokenizer_config.json''',
        '''facebook/m2m100_1.2B''': '''https://huggingface.co/facebook/m2m100_1.2B/resolve/main/tokenizer_config.json''',
    },
}

UpperCAmelCase_							:					Optional[Any]		 =   {
    '''facebook/m2m100_418M''': 1_024,
}

# fmt: off
UpperCAmelCase_							:					List[Any]		 =   {
    '''m2m100''': ['''af''', '''am''', '''ar''', '''ast''', '''az''', '''ba''', '''be''', '''bg''', '''bn''', '''br''', '''bs''', '''ca''', '''ceb''', '''cs''', '''cy''', '''da''', '''de''', '''el''', '''en''', '''es''', '''et''', '''fa''', '''ff''', '''fi''', '''fr''', '''fy''', '''ga''', '''gd''', '''gl''', '''gu''', '''ha''', '''he''', '''hi''', '''hr''', '''ht''', '''hu''', '''hy''', '''id''', '''ig''', '''ilo''', '''is''', '''it''', '''ja''', '''jv''', '''ka''', '''kk''', '''km''', '''kn''', '''ko''', '''lb''', '''lg''', '''ln''', '''lo''', '''lt''', '''lv''', '''mg''', '''mk''', '''ml''', '''mn''', '''mr''', '''ms''', '''my''', '''ne''', '''nl''', '''no''', '''ns''', '''oc''', '''or''', '''pa''', '''pl''', '''ps''', '''pt''', '''ro''', '''ru''', '''sd''', '''si''', '''sk''', '''sl''', '''so''', '''sq''', '''sr''', '''ss''', '''su''', '''sv''', '''sw''', '''ta''', '''th''', '''tl''', '''tn''', '''tr''', '''uk''', '''ur''', '''uz''', '''vi''', '''wo''', '''xh''', '''yi''', '''yo''', '''zh''', '''zu'''],
    '''wmt21''': ['''en''', '''ha''', '''is''', '''ja''', '''cs''', '''ru''', '''zh''', '''de''']
}






class      lowerCamelCase_      (	_lowercase	):
	_lowercase		:   Optional[Any]     					=				VOCAB_FILES_NAMES
	_lowercase		:   Optional[Any]     					=				PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
	_lowercase		:   str     					=				PRETRAINED_VOCAB_FILES_MAP
	_lowercase		:   Any     					=				['''input_ids''', '''attention_mask''']

	_lowercase		:   List[int]     					=				[]
	_lowercase		:   List[int]     					=				[]




	def __init__(     self						:     Dict					,      __A						:     Optional[Any]					,      __A						:     Any					,      __A						:     Tuple=None					,      __A						:     List[str]=None					,      __A						:     int="<s>"					,      __A						:     Union[str, Any]="</s>"					,      __A						:     Optional[Any]="</s>"					,      __A						:     Tuple="<pad>"					,      __A						:     List[str]="<unk>"					,      __A						:     Optional[Any]="m2m100"					,      __A						:     Optional[Dict[str, Any]] = None					,      __A						:     Any=8					,      **__A						:     List[str]					,      ):
		__A :			int		    =			{} if sp_model_kwargs is None else sp_model_kwargs

		__A :			List[Any]		    =			language_codes
		__A :			List[str]		    =			FAIRSEQ_LANGUAGE_CODES[language_codes]
		__A :			str		    =			{lang_code: F"""__{lang_code}__""" for lang_code in fairseq_language_code}

		__A :			Optional[int]		    =			kwargs.get("""additional_special_tokens"""					,      []							)
		kwargs["additional_special_tokens"] += [
		    self.get_lang_token(__A							)
		    for lang_code in fairseq_language_code
		    if self.get_lang_token(__A							) not in kwargs["additional_special_tokens"]
		]

		super().__init__(
		    src_lang=__A					,      tgt_lang=__A					,      bos_token=__A					,      eos_token=__A					,      sep_token=__A					,      unk_token=__A					,      pad_token=__A					,      language_codes=__A					,      sp_model_kwargs=self.sp_model_kwargs					,      num_madeup_words=__A					,      **__A					,      )

		__A :			Any		    =			vocab_file
		__A :			Any		    =			load_json(__A							)
		__A :			Union[str, Any]		    =			{v: k for k, v in self.encoder.items()}
		__A :			Optional[int]		    =			spm_file
		__A :			Dict		    =			load_spm(__A					,      self.sp_model_kwargs							)

		__A :			int		    =			len(self.encoder							)

		__A :			Optional[Any]		    =			{
		    self.get_lang_token(__A							): self.encoder_size + i for i, lang_code in enumerate(__A							)
		}
		__A :			Any		    =			{lang_code: self.encoder_size + i for i, lang_code in enumerate(__A							)}
		__A :			Union[str, Any]		    =			{v: k for k, v in self.lang_token_to_id.items()}

		__A :			Tuple		    =			src_lang if src_lang is not None else """en"""
		__A :			Dict		    =			tgt_lang
		__A :			List[Any]		    =			self.get_lang_id(self._src_lang							)
		self.set_src_lang_special_tokens(self._src_lang							)

		__A :			str		    =			num_madeup_words




	@property
	def        lowerCAmelCase_       (     self						:     Any							):
		return len(self.encoder							) + len(self.lang_token_to_id							)




	@property
	def        lowerCAmelCase_       (     self						:     int							):
		return self._src_lang




	@src_lang.setter
	def        lowerCAmelCase_       (     self						:     int					,      __A						:     str							):
		__A :			Optional[Any]		    =			new_src_lang
		self.set_src_lang_special_tokens(self._src_lang							)




	def        lowerCAmelCase_       (     self						:     str					,      __A						:     str							):
		return self.sp_model.encode(__A					,      out_type=__A							)




	def        lowerCAmelCase_       (     self						:     str					,      __A						:     Union[str, Any]							):
		if token in self.lang_token_to_id:
			return self.lang_token_to_id[token]
		return self.encoder.get(__A					,      self.encoder[self.unk_token]							)




	def        lowerCAmelCase_       (     self						:     int					,      __A						:     int							):
		if index in self.id_to_lang_token:
			return self.id_to_lang_token[index]
		return self.decoder.get(__A					,      self.unk_token							)




	def        lowerCAmelCase_       (     self						:     Tuple					,      __A						:     Optional[Any]							):
		__A :			Dict		    =			[]
		__A :			Tuple		    =			""""""
		for token in tokens:
			# make sure that special tokens are not decoded using sentencepiece model
			if token in self.all_special_tokens:
				out_string += self.sp_model.decode(__A							) + token
				__A :			Dict		    =			[]
			else:
				current_sub_tokens.append(__A							)
		out_string += self.sp_model.decode(__A							)
		return out_string.strip()




	def        lowerCAmelCase_       (     self						:     List[str]					,      __A						:     List[int]					,      __A						:     Optional[List[int]] = None					,      __A						:     bool = False							):

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

		__A :			Optional[Any]		    =			[1] * len(self.prefix_tokens							)
		__A :			Optional[Any]		    =			[1] * len(self.suffix_tokens							)
		if token_ids_a is None:
			return prefix_ones + ([0] * len(__A							)) + suffix_ones
		return prefix_ones + ([0] * len(__A							)) + ([0] * len(__A							)) + suffix_ones




	def        lowerCAmelCase_       (     self						:     Optional[int]					,      __A						:     List[int]					,      __A						:     Optional[List[int]] = None							):
		if token_ids_a is None:
			return self.prefix_tokens + token_ids_a + self.suffix_tokens
		# We don't expect to process pairs, but leave the pair logic for API consistency
		return self.prefix_tokens + token_ids_a + token_ids_a + self.suffix_tokens




	def        lowerCAmelCase_       (     self						:     List[str]							):
		__A :			Tuple		    =			{self.convert_ids_to_tokens(__A							): i for i in range(self.vocab_size							)}
		vocab.update(self.added_tokens_encoder							)
		return vocab




	def __getstate__(     self						:     Optional[int]							):
		__A :			List[str]		    =			self.__dict__.copy()
		__A :			Union[str, Any]		    =			None
		return state




	def __setstate__(     self						:     Dict					,      __A						:     Dict							):
		__A :			List[str]		    =			d

		# for backward compatibility
		if not hasattr(self					,      """sp_model_kwargs"""							):
			__A :			Union[str, Any]		    =			{}

		__A :			str		    =			load_spm(self.spm_file					,      self.sp_model_kwargs							)




	def        lowerCAmelCase_       (     self						:     str					,      __A						:     str					,      __A						:     Optional[str] = None							):
		__A :			str		    =			Path(__A							)
		if not save_dir.is_dir():
			raise OSError(F"""{save_directory} should be a directory"""							)
		__A :			str		    =			save_dir / (
		    (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""vocab_file"""]
		)
		__A :			Dict		    =			save_dir / (
		    (filename_prefix + """-""" if filename_prefix else """""") + self.vocab_files_names["""spm_file"""]
		)

		save_json(self.encoder					,      __A							)

		if os.path.abspath(self.spm_file							) != os.path.abspath(__A							) and os.path.isfile(self.spm_file							):
			copyfile(self.spm_file					,      __A							)
		elif not os.path.isfile(self.spm_file							):
			with open(__A					,      """wb"""							) as fi:
				__A :			str		    =			self.sp_model.serialized_model_proto()
				fi.write(__A							)

		return (str(__A							), str(__A							))




	def        lowerCAmelCase_       (     self						:     Union[str, Any]					,      __A						:     List[str]					,      __A						:     str = "en"					,      __A						:     Optional[List[str]] = None					,      __A						:     str = "ro"					,      **__A						:     Optional[int]					,      ):
		__A :			Any		    =			src_lang
		__A :			Optional[Any]		    =			tgt_lang
		self.set_src_lang_special_tokens(self.src_lang							)
		return super().prepare_seqaseq_batch(__A					,      __A					,      **__A							)




	def        lowerCAmelCase_       (     self						:     int					,      __A						:     Dict					,      __A						:     Optional[str]					,      __A						:     Optional[str]					,      **__A						:     List[str]							):
		if src_lang is None or tgt_lang is None:
			raise ValueError("""Translation requires a `src_lang` and a `tgt_lang` for this model"""							)
		__A :			List[Any]		    =			src_lang
		__A :			str		    =			self(__A					,      add_special_tokens=__A					,      **__A							)
		__A :			Optional[int]		    =			self.get_lang_id(__A							)
		__A :			Optional[Any]		    =			tgt_lang_id
		return inputs




	def        lowerCAmelCase_       (     self						:     List[str]							):
		self.set_src_lang_special_tokens(self.src_lang							)




	def        lowerCAmelCase_       (     self						:     Optional[Any]							):
		self.set_tgt_lang_special_tokens(self.tgt_lang							)




	def        lowerCAmelCase_       (     self						:     Dict					,      __A						:     str							):
		__A :			Any		    =			self.get_lang_token(__A							)
		__A :			Any		    =			self.lang_token_to_id[lang_token]
		__A :			Any		    =			[self.cur_lang_id]
		__A :			Optional[Any]		    =			[self.eos_token_id]




	def        lowerCAmelCase_       (     self						:     int					,      __A						:     str							):
		__A :			Tuple		    =			self.get_lang_token(__A							)
		__A :			Dict		    =			self.lang_token_to_id[lang_token]
		__A :			Union[str, Any]		    =			[self.cur_lang_id]
		__A :			str		    =			[self.eos_token_id]




	def        lowerCAmelCase_       (     self						:     Tuple					,      __A						:     str							):
		return self.lang_code_to_token[lang]




	def        lowerCAmelCase_       (     self						:     str					,      __A						:     str							):
		__A :			List[Any]		    =			self.get_lang_token(__A							)
		return self.lang_token_to_id[lang_token]






def 							__SCREAMING_SNAKE_CASE     (   a__    :   str			,a__    :   Dict[str, Any]       )					->				sentencepiece.SentencePieceProcessor:
	__A :			Optional[int]		    =			sentencepiece.SentencePieceProcessor(**a__       )
	spm.Load(str(a__       )       )
	return spm
def 							__SCREAMING_SNAKE_CASE     (   a__    :   str       )					->				Union[Dict, List]:
	with open(a__			,"""r"""       ) as f:
		return json.load(a__       )







def 							__SCREAMING_SNAKE_CASE     (   a__    :   Optional[Any]			,a__    :   str       )					->				None:
	with open(a__			,"""w"""       ) as f:
		json.dump(a__			,a__			,indent=2       )








from collections.abc import Sequence
def 							__SCREAMING_SNAKE_CASE     (   a__    :   Sequence[float]			,a__    :   float       )					->				float:
	return sum(c * (x**i) for i, c in enumerate(a__       )       )
def 							__SCREAMING_SNAKE_CASE     (   a__    :   Sequence[float]			,a__    :   float       )					->				float:
	__A :			Any		    =			0.0
	for coeff in reversed(a__       ):
		__A :			List[str]		    =			result * x + coeff
	return result


if __name__ == "__main__":
			UpperCAmelCase_							:					List[str]		 =   (0.0, 0.0, 5.0, 9.3, 7.0)
			UpperCAmelCase_							:					str		 =   10.0
			print(evaluate_poly(poly, x))
			print(horner(poly, x))





