import os
from dataclasses import dataclass, field
from io import BytesIO
from typing import TYPE_CHECKING, Any, ClassVar, Dict, Optional, Union

import numpy as np
import pyarrow as pa

from .. import config
from ..download.streaming_download_manager import xopen, xsplitext
from ..table import array_cast
from ..utils.py_utils import no_op_if_value_is_null, string_to_dict


if TYPE_CHECKING:
      from .features import FeatureType


UpperCamelCase__							,							UpperCamelCase__							,							UpperCamelCase__											=					False, False, False





@dataclass
class      A							:
   __UpperCAmelCase : Optional[int]      =			None
   __UpperCAmelCase : bool      =			True
   __UpperCAmelCase : bool      =			True
   __UpperCAmelCase : Optional[str]      =			None
   # Automatically constructed
   __UpperCAmelCase : ClassVar[str]      =			"dict"
   __UpperCAmelCase : ClassVar[Any]      =			pa.struct({'bytes': pa.binary(), 'path': pa.string()}     )
   __UpperCAmelCase : str      =			field(default='Audio'		,				init=UpperCAmelCase_		,				repr=UpperCAmelCase_     )


   def __call__(self     :						int		)						->				Dict:
         """simple docstring"""



         return self.pa_type


   def 			lowercase_      (self     :						int       ,  __UpperCAmelCase     :						Union[str, bytes, dict]		)						->				dict:
         """simple docstring"""



         try:
               import soundfile as sf  # soundfile is a dependency of librosa, needed to decode audio files.
         except ImportError as err:
               raise ImportError("To support encoding audio data, please install 'soundfile'."		) from err
         if isinstance(__UpperCAmelCase       ,  __UpperCAmelCase		):
               return {"bytes": None, "path": value}
         elif isinstance(__UpperCAmelCase       ,  __UpperCAmelCase		):
               return {"bytes": value, "path": None}
         elif "array" in value:
               # convert the audio array to wav bytes
               UpperCAmelCase__								=  BytesIO()
               sf.write(__UpperCAmelCase       ,  value["array"]       ,  value["sampling_rate"]       ,  format="wav"		)
               return {"bytes": buffer.getvalue(), "path": None}
         elif value.get("path"		) is not None and os.path.isfile(value["path"]		):
               # we set "bytes": None to not duplicate the data if they're already available locally
               if value["path"].endswith("pcm"		):
                     # "PCM" only has raw audio bytes
                     if value.get("sampling_rate"		) is None:
                           # At least, If you want to convert "PCM-byte" to "WAV-byte", you have to know sampling rate
                           raise KeyError("To use PCM files, please specify a 'sampling_rate' in Audio object"		)
                     if value.get("bytes"		):
                           # If we already had PCM-byte, we don`t have to make "read file, make bytes" (just use it!)
                           UpperCAmelCase__								=  np.frombuffer(value["bytes"]       ,  dtype=np.intaa		).astype(np.floataa		) / 3_2_7_6_7
                     else:
                           UpperCAmelCase__								=  np.memmap(value["path"]       ,  dtype="h"       ,  mode="r"		).astype(np.floataa		) / 3_2_7_6_7

                     UpperCAmelCase__								=  BytesIO(bytes()		)
                     sf.write(__UpperCAmelCase       ,  __UpperCAmelCase       ,  value["sampling_rate"]       ,  format="wav"		)
                     return {"bytes": buffer.getvalue(), "path": None}
               else:
                     return {"bytes": None, "path": value.get("path"		)}
         elif value.get("bytes"		) is not None or value.get("path"		) is not None:
               # store the audio bytes, and path is used to infer the audio format using the file extension
               return {"bytes": value.get("bytes"		), "path": value.get("path"		)}
         else:
               raise ValueError(
                   f"""An audio sample should have one of 'path' or 'bytes' but they are missing or None in {value}."""		)


   def 			lowercase_      (self     :						int       ,  __UpperCAmelCase     :						dict       ,  __UpperCAmelCase     :						Optional[Dict[str, Union[str, bool, None]]] = None		)						->				dict:
         """simple docstring"""



         if not self.decode:
               raise RuntimeError("Decoding is disabled for this feature. Please use Audio(decode=True) instead."		)

         UpperCAmelCase__		,      UpperCAmelCase__								=  (value["path"], BytesIO(value["bytes"]		)) if value["bytes"] is not None else (value["path"], None)
         if path is None and file is None:
               raise ValueError(f"""An audio sample should have one of 'path' or 'bytes' but both are None in {value}."""		)

         try:
               import librosa
               import soundfile as sf
         except ImportError as err:
               raise ImportError("To support decoding audio files, please install 'librosa' and 'soundfile'."		) from err

         UpperCAmelCase__								=  xsplitext(__UpperCAmelCase		)[1][1:].lower() if path is not None else None
         if not config.IS_OPUS_SUPPORTED and audio_format == "opus":
               raise RuntimeError(
                   "Decoding 'opus' files requires system library 'libsndfile'>=1.0.31, "
                   "You can try to update `soundfile` python library: `pip install \"soundfile>=0.12.1\"`. "		)
         elif not config.IS_MP3_SUPPORTED and audio_format == "mp3":
               raise RuntimeError(
                   "Decoding 'mp3' files requires system library 'libsndfile'>=1.1.0, "
                   "You can try to update `soundfile` python library: `pip install \"soundfile>=0.12.1\"`. "		)

         if file is None:
               UpperCAmelCase__								=  token_per_repo_id or {}
               UpperCAmelCase__								=  path.split("::"		)[-1]
               try:
                     UpperCAmelCase__								=  string_to_dict(__UpperCAmelCase       ,  config.HUB_DATASETS_URL		)["repo_id"]
                     UpperCAmelCase__								=  token_per_repo_id[repo_id]
               except (ValueError, KeyError):
                     UpperCAmelCase__								=  None

               with xopen(__UpperCAmelCase       ,  "rb"       ,  use_auth_token=__UpperCAmelCase		) as f:
                     UpperCAmelCase__		,      UpperCAmelCase__								=  sf.read(__UpperCAmelCase		)

         else:
               UpperCAmelCase__		,      UpperCAmelCase__								=  sf.read(__UpperCAmelCase		)

         UpperCAmelCase__								=  array.T
         if self.mono:
               UpperCAmelCase__								=  librosa.to_mono(__UpperCAmelCase		)
         if self.sampling_rate and self.sampling_rate != sampling_rate:
               UpperCAmelCase__								=  librosa.resample(__UpperCAmelCase       ,  orig_sr=__UpperCAmelCase       ,  target_sr=self.sampling_rate		)
               UpperCAmelCase__								=  self.sampling_rate

         return {"path": path, "array": array, "sampling_rate": sampling_rate}


   def 			lowercase_      (self     :						Optional[int]		)						->				Union["FeatureType", Dict[str, "FeatureType"]]:
         """simple docstring"""



         from .features import Value

         if self.decode:
               raise ValueError("Cannot flatten a decoded Audio feature."		)
         return {
             "bytes": Value("binary"		),
             "path": Value("string"		),
         }


   def 			lowercase_      (self     :						List[Any]       ,  __UpperCAmelCase     :						Union[pa.StringArray, pa.StructArray]		)						->				pa.StructArray:
         """simple docstring"""



         if pa.types.is_string(storage.type		):
               UpperCAmelCase__								=  pa.array([None] * len(__UpperCAmelCase		)       ,  type=pa.binary()		)
               UpperCAmelCase__								=  pa.StructArray.from_arrays([bytes_array, storage]       ,  ["bytes", "path"]       ,  mask=storage.is_null()		)
         elif pa.types.is_binary(storage.type		):
               UpperCAmelCase__								=  pa.array([None] * len(__UpperCAmelCase		)       ,  type=pa.string()		)
               UpperCAmelCase__								=  pa.StructArray.from_arrays([storage, path_array]       ,  ["bytes", "path"]       ,  mask=storage.is_null()		)
         elif pa.types.is_struct(storage.type		) and storage.type.get_all_field_indices("array"		):
               UpperCAmelCase__								=  pa.array([Audio().encode_example(__UpperCAmelCase		) if x is not None else None for x in storage.to_pylist()]		)
         elif pa.types.is_struct(storage.type		):
               if storage.type.get_field_index("bytes"		) >= 0:
                     UpperCAmelCase__								=  storage.field("bytes"		)
               else:
                     UpperCAmelCase__								=  pa.array([None] * len(__UpperCAmelCase		)       ,  type=pa.binary()		)
               if storage.type.get_field_index("path"		) >= 0:
                     UpperCAmelCase__								=  storage.field("path"		)
               else:
                     UpperCAmelCase__								=  pa.array([None] * len(__UpperCAmelCase		)       ,  type=pa.string()		)
               UpperCAmelCase__								=  pa.StructArray.from_arrays([bytes_array, path_array]       ,  ["bytes", "path"]       ,  mask=storage.is_null()		)
         return array_cast(__UpperCAmelCase       ,  self.pa_type		)





   def 			lowercase_      (self     :						Dict       ,  __UpperCAmelCase     :						pa.StructArray		)						->				pa.StructArray:
         """simple docstring"""



         @no_op_if_value_is_null
         def path_to_bytes(__UpperCAmelCase     :						Any		):
               with xopen(__UpperCAmelCase       ,  "rb"		) as f:
                     UpperCAmelCase__								=  f.read()
               return bytes_

         UpperCAmelCase__								=  pa.array(
             [
                 (path_to_bytes(x["path"]		) if x["bytes"] is None else x["bytes"]) if x is not None else None
                 for x in storage.to_pylist()
             ]       ,  type=pa.binary()       ,  )
         UpperCAmelCase__								=  pa.array(
             [os.path.basename(__UpperCAmelCase		) if path is not None else None for path in storage.field("path"		).to_pylist()]       ,  type=pa.string()       ,  )
         UpperCAmelCase__								=  pa.StructArray.from_arrays([bytes_array, path_array]       ,  ["bytes", "path"]       ,  mask=bytes_array.is_null()		)
         return array_cast(__UpperCAmelCase       ,  self.pa_type		)




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

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


UpperCamelCase__											=					logging.get_logger(__name__)


UpperCamelCase__											=					{
    'vocab_file': 'vocab.json',
    'tokenizer_config_file': 'tokenizer_config.json',
    'merges_file': 'merges.txt',
}

UpperCamelCase__											=					{
    'vocab_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json'
        ),
    },
    'tokenizer_config_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json'
        ),
    },
    'merges_file': {
        'facebook/s2t-wav2vec2-large-en-de': (
            'https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt'
        ),
    },
}

UpperCamelCase__											=					'</w>'
UpperCamelCase__											=					'@@ '




def    lowerCAmelCase_ (     __A							)     ->				str:







      '''simple docstring'''


      UpperCAmelCase__								=  set()
      UpperCAmelCase__								=  word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            UpperCAmelCase__								=  char
      return pairs


# Speech2Text2 has no max input length
UpperCamelCase__											=					{'facebook/s2t-wav2vec2-large-en-de': 1_0_2_4}







class      A							(				UpperCAmelCase_     ):
   __UpperCAmelCase : str      =			VOCAB_FILES_NAMES
   __UpperCAmelCase : str      =			PRETRAINED_VOCAB_FILES_MAP
   __UpperCAmelCase : Union[str, Any]      =			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCAmelCase : Dict      =			['input_ids', 'attention_mask']


   def __init__(self     :						Tuple       ,  __UpperCAmelCase     :						List[Any]       ,  __UpperCAmelCase     :						Dict="<s>"       ,  __UpperCAmelCase     :						Tuple="<pad>"       ,  __UpperCAmelCase     :						str="</s>"       ,  __UpperCAmelCase     :						int="<unk>"       ,  __UpperCAmelCase     :						List[str]=False       ,  __UpperCAmelCase     :						str=None       ,  **__UpperCAmelCase     :						Optional[Any]       ,  )						->				Tuple:
         """simple docstring"""



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

         UpperCAmelCase__								=  do_lower_case

         with open(__UpperCAmelCase       ,  encoding="utf-8"		) as vocab_handle:
               UpperCAmelCase__								=  json.load(__UpperCAmelCase		)
         UpperCAmelCase__								=  {v: k for k, v in self.encoder.items()}

         if merges_file is None:
               logger.info(f"""No merges files provided. {self.__class__.__name__} can only be used for decoding."""		)

               UpperCAmelCase__								=  None
               UpperCAmelCase__								=  None
         else:
               with open(__UpperCAmelCase       ,  encoding="utf-8"		) as merges_handle:
                     UpperCAmelCase__								=  merges_handle.read().split("\n"		)[:-1]

               UpperCAmelCase__								=  [tuple(merge.split()[:2]		) for merge in merges]
               UpperCAmelCase__								=  dict(zip(__UpperCAmelCase       ,  range(len(__UpperCAmelCase		)		)		)		)
               UpperCAmelCase__								=  {}


   @property
   def 			lowercase_      (self     :						List[str]		)						->				int:
         """simple docstring"""



         return len(self.decoder		)


   def 			lowercase_      (self     :						Union[str, Any]		)						->				Dict:
         """simple docstring"""



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


   def 			lowercase_      (self     :						Dict       ,  __UpperCAmelCase     :						Union[str, Any]		)						->				str:
         """simple docstring"""



         UpperCAmelCase__								=  tuple(token[:-1]		) + (token[-1] + BPE_TOKEN_MERGES,)
         if token in self.cache:
               return self.cache[token]
         UpperCAmelCase__								=  get_pairs(__UpperCAmelCase		)

         if not pairs:
               return token

         while True:
               UpperCAmelCase__								=  min(__UpperCAmelCase       ,  key=lambda __UpperCAmelCase		: self.bpe_ranks.get(__UpperCAmelCase       ,  float("inf"		)		)		)
               if bigram not in self.bpe_ranks:
                     break
               UpperCAmelCase__		,      UpperCAmelCase__								=  bigram
               UpperCAmelCase__								=  []
               UpperCAmelCase__								=  0
               while i < len(__UpperCAmelCase		):
                     try:
                           UpperCAmelCase__								=  word.index(__UpperCAmelCase       ,  __UpperCAmelCase		)
                     except ValueError:
                           new_word.extend(word[i:]		)
                           break
                     else:
                           new_word.extend(word[i:j]		)
                           UpperCAmelCase__								=  j

                     if word[i] == first and i < len(__UpperCAmelCase		) - 1 and word[i + 1] == second:
                           new_word.append(first + second		)
                           i += 2
                     else:
                           new_word.append(word[i]		)
                           i += 1
               UpperCAmelCase__								=  tuple(__UpperCAmelCase		)
               UpperCAmelCase__								=  new_word
               if len(__UpperCAmelCase		) == 1:
                     break
               else:
                     UpperCAmelCase__								=  get_pairs(__UpperCAmelCase		)
         UpperCAmelCase__								=  " ".join(__UpperCAmelCase		)
         if word == "\n  " + BPE_TOKEN_MERGES:
               UpperCAmelCase__								=  "\n" + BPE_TOKEN_MERGES

         if word.endswith(__UpperCAmelCase		):
               UpperCAmelCase__								=  word.replace(__UpperCAmelCase       ,  ""		)

         UpperCAmelCase__								=  word.replace(" "       ,  __UpperCAmelCase		)
         UpperCAmelCase__								=  word
         return word


   def 			lowercase_      (self     :						Tuple       ,  __UpperCAmelCase     :						int		)						->				Optional[int]:
         """simple docstring"""



         if self.bpe_ranks is None:
               raise ValueError(
                   "This tokenizer was instantiated without a `merges.txt` file, so"
                   " that it can only be used for decoding, not for encoding."
                   "Make sure to provide `merges.txt` file at instantiation to enable "
                   "encoding."		)

         if self.do_lower_case:
               UpperCAmelCase__								=  text.lower()

         UpperCAmelCase__								=  text.split()

         UpperCAmelCase__								=  []
         for token in text:
               if token:
                     split_tokens.extend(list(self.bpe(__UpperCAmelCase		).split(" "		)		)		)

         return split_tokens


   def 			lowercase_      (self     :						Union[str, Any]       ,  __UpperCAmelCase     :						str		)						->				int:
         """simple docstring"""



         return self.encoder.get(__UpperCAmelCase       ,  self.encoder.get(self.unk_token		)		)


   def 			lowercase_      (self     :						Any       ,  __UpperCAmelCase     :						int		)						->				str:
         """simple docstring"""



         UpperCAmelCase__								=  self.decoder.get(__UpperCAmelCase       ,  self.unk_token		)
         return result


   def 			lowercase_      (self     :						Dict       ,  __UpperCAmelCase     :						List[str]		)						->				str:
         """simple docstring"""



         UpperCAmelCase__								=  " ".join(__UpperCAmelCase		)

         # make sure @@ tokens are concatenated
         UpperCAmelCase__								=  "".join(string.split(__UpperCAmelCase		)		)

         return string





   def 			lowercase_      (self     :						Union[str, Any]       ,  __UpperCAmelCase     :						str       ,  __UpperCAmelCase     :						Optional[str] = None		)						->				Tuple[str]:
         """simple docstring"""



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

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

         UpperCAmelCase__								=  0
         if self.bpe_ranks is None:
               return (vocab_file,)

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

         return (vocab_file, merges_file)



