



import datetime
import platform
import subprocess
from typing import Optional, Tuple, Union

import numpy as np

def   _lowerCAmelCase   (						A__						,  A__	):
      lowercase__     =  F'''{sampling_rate}'''
      lowercase__     =  '1'
      lowercase__     =  'f32le'
      lowercase__     =  [
          'ffmpeg',
          '-i',
          'pipe:0',
          '-ac',
          ac,
          '-ar',
          ar,
          '-f',
          format_for_conversion,
          '-hide_banner',
          '-loglevel',
          'quiet',
          'pipe:1',
      ]

      try:
            with subprocess.Popen(A__						,  stdin=subprocess.PIPE						,  stdout=subprocess.PIPE	) as ffmpeg_process:
                  lowercase__     =  ffmpeg_process.communicate(A__	)
      except FileNotFoundError as error:
            raise ValueError('ffmpeg was not found but is required to load audio files from filename'	) from error
      lowercase__     =  output_stream[0]
      lowercase__     =  np.frombuffer(A__						,  np.floataa	)
      if audio.shape[0] == 0:
            raise ValueError('Malformed soundfile'	)
      return audio

def   _lowerCAmelCase   (						A__						,  A__						,  A__ = "f32le"						,  ):
      lowercase__     =  F'''{sampling_rate}'''
      lowercase__     =  '1'
      if format_for_conversion == "s16le":
            lowercase__     =  2
      elif format_for_conversion == "f32le":
            lowercase__     =  4
      else:
            raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''	)

      lowercase__     =  platform.system()
      if system == "Linux":
            lowercase__     =  'alsa'
            lowercase__     =  'default'
      elif system == "Darwin":
            lowercase__     =  'avfoundation'
            lowercase__     =  ':0'
      elif system == "Windows":
            lowercase__     =  'dshow'
            lowercase__     =  'default'

      lowercase__     =  [
          'ffmpeg',
          '-f',
          format_,
          '-i',
          input_,
          '-ac',
          ac,
          '-ar',
          ar,
          '-f',
          format_for_conversion,
          '-fflags',
          'nobuffer',
          '-hide_banner',
          '-loglevel',
          'quiet',
          'pipe:1',
      ]
      lowercase__     =  int(round(sampling_rate * chunk_length_s	)	) * size_of_sample
      lowercase__     =  _ffmpeg_stream(A__						,  A__	)
      for item in iterator:
            yield item

def   _lowerCAmelCase   (						A__						,  A__						,  A__ = None						,  A__ = None						,  A__ = "f32le"						,  ):
      if stream_chunk_s is not None:
            lowercase__     =  stream_chunk_s
      else:
            lowercase__     =  chunk_length_s

      lowercase__     =  ffmpeg_microphone(A__						,  A__						,  format_for_conversion=A__	)
      if format_for_conversion == "s16le":
            lowercase__     =  np.intaa
            lowercase__     =  2
      elif format_for_conversion == "f32le":
            lowercase__     =  np.floataa
            lowercase__     =  4
      else:
            raise ValueError(F'''Unhandled format `{format_for_conversion}`. Please use `s16le` or `f32le`'''	)

      if stride_length_s is None:
            lowercase__     =  chunk_length_s / 6
      lowercase__     =  int(round(sampling_rate * chunk_length_s	)	) * size_of_sample
      if isinstance(A__						,  (int, float)	):
            lowercase__     =  [stride_length_s, stride_length_s]

      lowercase__     =  int(round(sampling_rate * stride_length_s[0]	)	) * size_of_sample
      lowercase__     =  int(round(sampling_rate * stride_length_s[1]	)	) * size_of_sample
      lowercase__     =  datetime.datetime.now()
      lowercase__     =  datetime.timedelta(seconds=A__	)
      for item in chunk_bytes_iter(A__						,  A__						,  stride=(stride_left, stride_right)						,  stream=A__	):
            # Put everything back in numpy scale
            lowercase__     =  np.frombuffer(item['raw']						,  dtype=A__	)
            lowercase__     =  (
                item['stride'][0] // size_of_sample,
                item['stride'][1] // size_of_sample,
            )
            lowercase__     =  sampling_rate
            audio_time += delta
            if datetime.datetime.now() > audio_time + 10 * delta:
                  # We're late !! SKIP
                  continue
            yield item

def   _lowerCAmelCase   (						A__						,  A__						,  A__						,  A__ = False	):
      lowercase__     =  B''
      lowercase__,	lowercase__     =  stride
      if stride_left + stride_right >= chunk_len:
            raise ValueError(
                F'''Stride needs to be strictly smaller than chunk_len: ({stride_left}, {stride_right}) vs {chunk_len}'''	)
      lowercase__     =  0
      for raw in iterator:
            acc += raw
            if stream and len(A__	) < chunk_len:
                  lowercase__     =  (_stride_left, 0)
                  yield {"raw": acc[:chunk_len], "stride": stride, "partial": True}
            else:
                  while len(A__	) >= chunk_len:
                        # We are flushing the accumulator
                        lowercase__     =  (_stride_left, stride_right)
                        lowercase__     =  {'raw': acc[:chunk_len], 'stride': stride}
                        if stream:
                              lowercase__     =  False
                        yield item
                        lowercase__     =  stride_left
                        lowercase__     =  acc[chunk_len - stride_left - stride_right :]
    # Last chunk
      if len(A__	) > stride_left:
            lowercase__     =  {'raw': acc, 'stride': (_stride_left, 0)}
            if stream:
                  lowercase__     =  False
            yield item

def   _lowerCAmelCase   (						A__						,  A__	):
      lowercase__     =  2**24  # 16Mo
      try:
            with subprocess.Popen(A__						,  stdout=subprocess.PIPE						,  bufsize=A__	) as ffmpeg_process:
                  while True:
                        lowercase__     =  ffmpeg_process.stdout.read(A__	)
                        if raw == b"":
                              break
                        yield raw
      except FileNotFoundError as error:
            raise ValueError('ffmpeg was not found but is required to stream audio files from filename'	) from error





import json
import os
from typing import Dict, List, Optional, Tuple

import regex as re

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


a__      :				Optional[int]   	=			logging.get_logger(__name__)


a__      :				Dict   	=			{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

a__      :				str   	=			{
    "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"
        )
    },
}

a__      :				Any   	=			{"facebook/blenderbot_small-90M": 5_12}

def   _lowerCAmelCase   (						A__	):
      lowercase__     =  set()
      lowercase__     =  word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)	)
            lowercase__     =  char

      lowercase__     =  set(A__	)
      return pairs



class       UpperCAmelCase__(							lowerCamelCase	):

   '''simple docstring'''




   A    :  List[str]       				=    VOCAB_FILES_NAMES
   A    :  str       				=    PRETRAINED_VOCAB_FILES_MAP
   A    :  int       				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   A    :  Tuple       				=    ["input_ids", "attention_mask"]


   def __init__(						self  :			Optional[int]			,				lowerCAmelCase  :			Dict			,				lowerCAmelCase  :			Dict			,				lowerCAmelCase  :			int="__start__"			,				lowerCAmelCase  :			Dict="__end__"			,				lowerCAmelCase  :			Any="__unk__"			,				lowerCAmelCase  :			str="__null__"			,				**lowerCAmelCase  :			Optional[Any]			,				)	->				List[str]:




         """simple docstring"""

         super().__init__(unk_token=lowerCAmelCase			,				bos_token=lowerCAmelCase			,				eos_token=lowerCAmelCase			,				pad_token=lowerCAmelCase			,				**lowerCAmelCase)

         with open(lowerCAmelCase			,				encoding='utf-8') as vocab_handle:
               lowercase__     =  json.load(lowerCAmelCase)
         lowercase__     =  {v: k for k, v in self.encoder.items()}
         with open(lowerCAmelCase			,				encoding='utf-8') as merges_handle:
               lowercase__     =  merges_handle.read().split('\n')[1:-1]
         lowercase__     =  [tuple(merge.split()) for merge in merges]
         lowercase__     =  dict(zip(lowerCAmelCase			,				range(len(lowerCAmelCase))))
         lowercase__     =  {}


   @property
   def 			UpperCAmelCase		(						self  :			int)	->				int:




         """simple docstring"""

         return len(self.encoder)


   def 			UpperCAmelCase		(						self  :			str)	->				Dict:




         """simple docstring"""

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


   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			str)	->				str:




         """simple docstring"""

         if token in self.cache:
               return self.cache[token]
         lowercase__     =  re.sub('([.,!?()])'			,				R' \1'			,				lowerCAmelCase)
         lowercase__     =  re.sub('(\')'			,				R' \1 '			,				lowerCAmelCase)
         lowercase__     =  re.sub(R'\s{2,}'			,				' '			,				lowerCAmelCase)
         if "\n" in token:
               lowercase__     =  token.replace('\n'			,				' __newln__')

         lowercase__     =  token.split(' ')
         lowercase__     =  []
         for token in tokens:
               if not len(lowerCAmelCase):
                     continue

               lowercase__     =  token.lower()
               lowercase__     =  tuple(lowerCAmelCase)
               lowercase__     =  tuple(list(word[:-1]) + [word[-1] + '</w>'])
               lowercase__     =  get_pairs(lowerCAmelCase)

               if not pairs:
                     words.append(lowerCAmelCase)
                     continue

               while True:
                     lowercase__     =  min(lowerCAmelCase			,				key=lambda lowerCAmelCase: self.bpe_ranks.get(lowerCAmelCase			,				float('inf')))
                     if bigram not in self.bpe_ranks:
                           break
                     lowercase__,	lowercase__     =  bigram
                     lowercase__     =  []
                     lowercase__     =  0

                     while i < len(lowerCAmelCase):
                           try:
                                 lowercase__     =  word.index(lowerCAmelCase			,				lowerCAmelCase)
                                 new_word.extend(word[i:j])
                                 lowercase__     =  j
                           except ValueError:
                                 new_word.extend(word[i:])
                                 break

                           if word[i] == first and i < len(lowerCAmelCase) - 1 and word[i + 1] == second:
                                 new_word.append(first + second)
                                 i += 2
                           else:
                                 new_word.append(word[i])
                                 i += 1
                     lowercase__     =  tuple(lowerCAmelCase)
                     lowercase__     =  new_word
                     if len(lowerCAmelCase) == 1:
                           break
                     else:
                           lowercase__     =  get_pairs(lowerCAmelCase)
               lowercase__     =  '@@ '.join(lowerCAmelCase)
               lowercase__     =  word[:-4]

               lowercase__     =  word
               words.append(lowerCAmelCase)
         return " ".join(lowerCAmelCase)


   def 			UpperCAmelCase		(						self  :			List[str]			,				lowerCAmelCase  :			str)	->				List[str]:




         """simple docstring"""

         lowercase__     =  []

         lowercase__     =  re.findall(R'\S+\n?'			,				lowerCAmelCase)

         for token in words:
               split_tokens.extend(list(self.bpe(lowerCAmelCase).split(' ')))
         return split_tokens


   def 			UpperCAmelCase		(						self  :			int			,				lowerCAmelCase  :			str)	->				int:




         """simple docstring"""

         lowercase__     =  token.lower()
         return self.encoder.get(lowerCAmelCase			,				self.encoder.get(self.unk_token))


   def 			UpperCAmelCase		(						self  :			Optional[int]			,				lowerCAmelCase  :			int)	->				str:




         """simple docstring"""

         return self.decoder.get(lowerCAmelCase			,				self.unk_token)


   def 			UpperCAmelCase		(						self  :			Optional[Any]			,				lowerCAmelCase  :			List[str])	->				str:




         """simple docstring"""

         lowercase__     =  ' '.join(lowerCAmelCase).replace('@@ '			,				'').strip()
         return out_string



   def 			UpperCAmelCase		(						self  :			str			,				lowerCAmelCase  :			str			,				lowerCAmelCase  :			Optional[str] = None)	->				Tuple[str]:




         """simple docstring"""

         if not os.path.isdir(lowerCAmelCase):
               logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
               return
         lowercase__     =  os.path.join(
             lowerCAmelCase			,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])
         lowercase__     =  os.path.join(
             lowerCAmelCase			,				(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file'])

         with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as f:
               f.write(json.dumps(self.encoder			,				indent=2			,				sort_keys=lowerCAmelCase			,				ensure_ascii=lowerCAmelCase) + '\n')

         lowercase__     =  0
         with open(lowerCAmelCase			,				'w'			,				encoding='utf-8') as writer:
               writer.write('#version: 0.2\n')
               for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,				key=lambda lowerCAmelCase: kv[1]):
                     if index != token_index:
                           logger.warning(
                               f'''Saving vocabulary to {merge_file}: BPE merge indices are not consecutive.'''
                               ' Please check that the tokenizer is not corrupted!')
                           lowercase__     =  token_index
                     writer.write(' '.join(lowerCAmelCase) + '\n')
                     index += 1

         return vocab_file, merge_file
