






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 PreTrainedTokenizer
from ...utils import logging


a_		:    Dict   							=     logging.get_logger(__name__)

a_		:    Tuple   							=     '▁'

a_		:    str   							=     {
    'vocab_file': 'vocab.json',
    'spm_file': 'sentencepiece.bpe.model',
}

a_		:    Optional[Any]   							=     {
    'vocab_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/vocab.json'
        ),
    },
    'spm_file': {
        'facebook/s2t-small-librispeech-asr': (
            'https://huggingface.co/facebook/s2t-small-librispeech-asr/resolve/main/sentencepiece.bpe.model'
        )
    },
}

a_		:    List[Any]   							=     {
    'facebook/s2t-small-librispeech-asr': 10_24,
}

a_		:    Any   							=     ['pt', 'fr', 'ru', 'nl', 'ro', 'it', 'es', 'de']

a_		:    Dict   							=     {'mustc': MUSTC_LANGS}

class 		_snake_case	(	A__       ):
			_lowercase		:     str        =				VOCAB_FILES_NAMES
			_lowercase		:     Dict        =				PRETRAINED_VOCAB_FILES_MAP
			_lowercase		:     Optional[int]        =				MAX_MODEL_INPUT_SIZES
			_lowercase		:     Optional[int]        =				['''input_ids''', '''attention_mask''']

			_lowercase		:     List[int]        =				[]






			def __init__(							self		,       a		,       a		,       a="<s>"		,       a="</s>"		,       a="<pad>"		,       a="<unk>"		,       a=False		,       a=False		,       a=None		,       a=None		,       a = None		,       **a		,       )   ->							None:
						SCREAMING_SNAKE_CASE							=			{} if sp_model_kwargs is None else sp_model_kwargs

						super().__init__(
						    bos_token=a		,       eos_token=a		,       unk_token=a		,       pad_token=a		,       do_upper_case=a		,       do_lower_case=a		,       tgt_lang=a		,       lang_codes=a		,       sp_model_kwargs=self.sp_model_kwargs		,       **a		,       )
						SCREAMING_SNAKE_CASE							=			do_upper_case
						SCREAMING_SNAKE_CASE							=			do_lower_case

						SCREAMING_SNAKE_CASE							=			load_json(a)
						SCREAMING_SNAKE_CASE							=			{v: k for k, v in self.encoder.items()}
						SCREAMING_SNAKE_CASE							=			spm_file
						SCREAMING_SNAKE_CASE							=			load_spm(a		,       self.sp_model_kwargs)

						if lang_codes is not None:
									SCREAMING_SNAKE_CASE							=			lang_codes
									SCREAMING_SNAKE_CASE							=			LANGUAGES[lang_codes]
									SCREAMING_SNAKE_CASE							=			[f'''<lang:{lang}>''' for lang in self.langs]
									SCREAMING_SNAKE_CASE							=			{lang: self.sp_model.PieceToId(f'''<lang:{lang}>''') for lang in self.langs}

									SCREAMING_SNAKE_CASE							=			self.lang_tokens
									SCREAMING_SNAKE_CASE							=			tgt_lang if tgt_lang is not None else self.langs[0]

									self.set_tgt_lang_special_tokens(self._tgt_lang)
						else:
									SCREAMING_SNAKE_CASE							=			{}






			@property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							int:
						return len(self.encoder)






			@property
			def  SCREAMING_SNAKE_CASE__     (							self)   ->							str:
						return self._tgt_lang






			@tgt_lang.setter
			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							None:
						SCREAMING_SNAKE_CASE							=			new_tgt_lang
						self.set_tgt_lang_special_tokens(a)






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							None:
						SCREAMING_SNAKE_CASE							=			self.lang_code_to_id[tgt_lang]
						SCREAMING_SNAKE_CASE							=			[lang_code_id]






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							List[str]:
						return self.sp_model.encode(a		,       out_type=a)






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							Tuple:
						return self.encoder.get(a		,       self.encoder[self.unk_token])






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							str:
						return self.decoder.get(a		,       self.unk_token)






			def  SCREAMING_SNAKE_CASE__     (							self		,       a)   ->							str:
						SCREAMING_SNAKE_CASE							=			[]
						SCREAMING_SNAKE_CASE							=			''
						for token in tokens:
									# make sure that special tokens are not decoded using sentencepiece model
									if token in self.all_special_tokens:
												SCREAMING_SNAKE_CASE							=			self.sp_model.decode(a)
												out_string += (decoded.upper() if self.do_upper_case else decoded) + token + " "
												SCREAMING_SNAKE_CASE							=			[]
									else:
												current_sub_tokens.append(a)
						SCREAMING_SNAKE_CASE							=			self.sp_model.decode(a)
						out_string += decoded.upper() if self.do_upper_case else decoded
						return out_string.strip()






			def  SCREAMING_SNAKE_CASE__     (							self		,       a		,       a=None)   ->							List[int]:
						if token_ids_a is None:
									return self.prefix_tokens + token_ids_a + [self.eos_token_id]
						# 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.eos_token_id]






			def  SCREAMING_SNAKE_CASE__     (							self		,       a		,       a = None		,       a = False)   ->							List[int]:

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

						SCREAMING_SNAKE_CASE							=			[1] * len(self.prefix_tokens)
						SCREAMING_SNAKE_CASE							=			[1]
						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  SCREAMING_SNAKE_CASE__     (							self)   ->							Dict:
						SCREAMING_SNAKE_CASE							=			self.encoder.copy()
						vocab.update(self.added_tokens_encoder)
						return vocab






			def __getstate__(							self)   ->							Dict:
						SCREAMING_SNAKE_CASE							=			self.__dict__.copy()
						SCREAMING_SNAKE_CASE							=			None
						return state






			def __setstate__(							self		,       a)   ->							None:
						SCREAMING_SNAKE_CASE							=			d

						# for backward compatibility
						if not hasattr(self		,       'sp_model_kwargs'):
									SCREAMING_SNAKE_CASE							=			{}

						SCREAMING_SNAKE_CASE							=			load_spm(self.spm_file		,       self.sp_model_kwargs)







			def  SCREAMING_SNAKE_CASE__     (							self		,       a		,       a = None)   ->							Tuple[str]:
						SCREAMING_SNAKE_CASE							=			Path(a)
						assert save_dir.is_dir(), f'''{save_directory} should be a directory'''
						SCREAMING_SNAKE_CASE							=			save_dir / (
						    (filename_prefix + '-' if filename_prefix else '') + self.vocab_files_names['vocab_file']
						)
						SCREAMING_SNAKE_CASE							=			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:
												SCREAMING_SNAKE_CASE							=			self.sp_model.serialized_model_proto()
												fi.write(a)

						return (str(a), str(a))






def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			SCREAMING_SNAKE_CASE							=			sentencepiece.SentencePieceProcessor(**_UpperCAmelCase)
			spm.Load(str(_UpperCAmelCase))
			return spm






def 					lowerCamelCase__					(_UpperCAmelCase):
			with open(_UpperCAmelCase				,							'r') as f:
						return json.load(_UpperCAmelCase)







def 					lowerCamelCase__					(_UpperCAmelCase				,							_UpperCAmelCase):
			with open(_UpperCAmelCase				,							'w') as f:
						json.dump(_UpperCAmelCase				,							_UpperCAmelCase				,							indent=2)





'''simple docstring'''

import colorsys

from PIL import Image  # type: ignore



def snake_case_      (					__snake_case  :							float	,   __snake_case  :							float	,   __snake_case  :							int)			->					float:
   lowerCAmelCase_			=      x
   lowerCAmelCase_			=      y
   for step in range(__snake_case):  # noqa: B007
      lowerCAmelCase_			=      a * a - b * b + x
      lowerCAmelCase_			=      2 * a * b + y
      lowerCAmelCase_			=      a_new

      # divergence happens for all complex number with an absolute value
      # greater than 4
      if a * a + b * b > 4:
         break
   return step / (max_step - 1)



def snake_case_      (					__snake_case  :							float)			->					tuple:
   if distance == 1:
      return (0, 0, 0)
   else:
      return (255, 255, 255)



def snake_case_      (					__snake_case  :							float)			->					tuple:
   if distance == 1:
      return (0, 0, 0)
   else:
      return tuple(round(i * 255) for i in colorsys.hsv_to_rgb(__snake_case	,   1	,   1))



def snake_case_      (					__snake_case  :							int = 800	,   __snake_case  :							int = 600	,   __snake_case  :							float = -0.6	,   __snake_case  :							float = 0	,   __snake_case  :							float = 3.2	,   __snake_case  :							int = 50	,   __snake_case  :							bool = True	,   )			->					Image.Image:
   lowerCAmelCase_			=      Image.new('''RGB'''	,   (image_width, image_height))
   lowerCAmelCase_			=      img.load()

   # loop through the image-coordinates
   for image_x in range(__snake_case):
      for image_y in range(__snake_case):
         # determine the figure-coordinates based on the image-coordinates
         lowerCAmelCase_			=      figure_width / image_width * image_height
         lowerCAmelCase_			=      figure_center_x + (image_x / image_width - 0.5) * figure_width
         lowerCAmelCase_			=      figure_center_y + (image_y / image_height - 0.5) * figure_height

         lowerCAmelCase_			=      get_distance(__snake_case	,   __snake_case	,   __snake_case)

         # color the corresponding pixel based on the selected coloring-function
         if use_distance_color_coding:
            lowerCAmelCase_			=      get_color_coded_rgb(__snake_case)
         else:
            lowerCAmelCase_			=      get_black_and_white_rgb(__snake_case)

   return img


if __name__ == "__main__":
 import doctest

 doctest.testmod()

 # colored version, full figure
 A_     :						List[str]    							=get_image()

 # uncomment for colored version, different section, zoomed in
 # img = get_image(figure_center_x = -0.6, figure_center_y = -0.4,
 # figure_width = 0.8)

 # uncomment for black and white version, full figure
 # img = get_image(use_distance_color_coding = False)

 # uncomment to save the image
 # img.save("mandelbrot.png")

 img.show()





