

"""simple docstring"""





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_	:				Optional[int]										= False, False, False


@dataclass
class      _lowercase :
      _a   :     Dict								=   None
      _a   :     Dict								=   True
      _a   :     Optional[int]								=   True
      _a   :     Dict								=   None
      # Automatically constructed
      _a   :     Dict								=   '''dict'''
      _a   :     Optional[int]								=   pa.struct({'''bytes''': pa.binary(), '''path''': pa.string()}						)
      _a   :     str								=   field(default='''Audio'''		,  init=__a		,  repr=__a						)


      def __call__(    self				:	Any						):





            """simple docstring"""







            return self.pa_type


      def _UpperCamelCase						(    self				:	Any							,   a				:	List[str]						):





            """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(A__							,   A__						):
                  return {"bytes": None, "path": value}
            elif isinstance(A__							,   A__						):
                  return {"bytes": value, "path": None}
            elif "array" in value:
                  # convert the audio array to wav bytes
                  __snake_case      :    str  			=BytesIO()
                  sf.write(A__							,   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!)
                              __snake_case      :    Union[str, Any]  			=np.frombuffer(value['''bytes''']							,   dtype=np.intaa						).astype(np.floataa						) / 3_2_7_6_7
                        else:
                              __snake_case      :    Any  			=np.memmap(value['''path''']							,   dtype='''h'''							,   mode='''r'''						).astype(np.floataa						) / 3_2_7_6_7

                        __snake_case      :    Any  			=BytesIO(bytes()						)
                        sf.write(A__							,   A__							,   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 _UpperCamelCase						(    self				:	List[Any]							,   a				:	Dict							,   a				:	Any = None						):





            """simple docstring"""







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

            __snake_case			,				__snake_case      :    Dict  			=(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

            __snake_case      :    Any  			=xsplitext(A__						)[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:
                  __snake_case      :    Dict  			=token_per_repo_id or {}
                  __snake_case      :    List[str]  			=path.split('''::'''						)[-1]
                  try:
                        __snake_case      :    Dict  			=string_to_dict(A__							,   config.HUB_DATASETS_URL						)['''repo_id''']
                        __snake_case      :    Dict  			=token_per_repo_id[repo_id]
                  except (ValueError, KeyError):
                        __snake_case      :    Any  			=None

                  with xopen(A__							,   '''rb'''							,   use_auth_token=A__						) as f:
                        __snake_case			,				__snake_case      :    List[Any]  			=sf.read(A__						)

            else:
                  __snake_case			,				__snake_case      :    Optional[int]  			=sf.read(A__						)

            __snake_case      :    str  			=array.T
            if self.mono:
                  __snake_case      :    List[Any]  			=librosa.to_mono(A__						)
            if self.sampling_rate and self.sampling_rate != sampling_rate:
                  __snake_case      :    Optional[Any]  			=librosa.resample(A__							,   orig_sr=A__							,   target_sr=self.sampling_rate						)
                  __snake_case      :    Dict  			=self.sampling_rate

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


      def _UpperCamelCase						(    self				:	str						):





            """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 _UpperCamelCase						(    self				:	str							,   a				:	str						):





            """simple docstring"""







            if pa.types.is_string(storage.type						):
                  __snake_case      :    Optional[Any]  			=pa.array([None] * len(A__						)							,   type=pa.binary()						)
                  __snake_case      :    str  			=pa.StructArray.from_arrays([bytes_array, storage]							,   ['''bytes''', '''path''']							,   mask=storage.is_null()						)
            elif pa.types.is_binary(storage.type						):
                  __snake_case      :    Optional[int]  			=pa.array([None] * len(A__						)							,   type=pa.string()						)
                  __snake_case      :    Union[str, Any]  			=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'''						):
                  __snake_case      :    Union[str, Any]  			=pa.array([Audio().encode_example(A__						) 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:
                        __snake_case      :    List[str]  			=storage.field('''bytes'''						)
                  else:
                        __snake_case      :    str  			=pa.array([None] * len(A__						)							,   type=pa.binary()						)
                  if storage.type.get_field_index('''path'''						) >= 0:
                        __snake_case      :    Optional[Any]  			=storage.field('''path'''						)
                  else:
                        __snake_case      :    Optional[Any]  			=pa.array([None] * len(A__						)							,   type=pa.string()						)
                  __snake_case      :    Union[str, Any]  			=pa.StructArray.from_arrays([bytes_array, path_array]							,   ['''bytes''', '''path''']							,   mask=storage.is_null()						)
            return array_cast(A__							,   self.pa_type						)







      def _UpperCamelCase						(    self				:	str							,   a				:	int						):





            """simple docstring"""







            @no_op_if_value_is_null
            def path_to_bytes(a				:	Union[str, Any]						):
                  with xopen(A__							,   '''rb'''						) as f:
                        __snake_case      :    Optional[int]  			=f.read()
                  return bytes_

            __snake_case      :    int  			=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()							,   )
            __snake_case      :    Optional[int]  			=pa.array(
                [os.path.basename(A__						) if path is not None else None for path in storage.field('''path'''						).to_pylist()]							,   type=pa.string()							,   )
            __snake_case      :    List[str]  			=pa.StructArray.from_arrays([bytes_array, path_array]							,   ['''bytes''', '''path''']							,   mask=bytes_array.is_null()						)
            return array_cast(A__							,   self.pa_type						)










"""simple docstring"""





# this script reports modified .py files under the desired list of top-level sub-dirs passed as a list of arguments, e.g.:
#   python ./utils/get_modified_files.py utils src tests examples
#
# it uses git to find the forking point and which files were modified - i.e. files not under git won't be considered
# since the output of this script is fed into Makefile commands it doesn't print a newline after the results

import re
import subprocess
import sys


UpperCamelCase_	:				int										= subprocess.check_output("""git merge-base main HEAD""".split()).decode("""utf-8""")
UpperCamelCase_	:				Optional[int]										= (
    subprocess.check_output(F'''git diff --diff-filter=d --name-only {fork_point_sha}'''.split()).decode("""utf-8""").split()
)

UpperCamelCase_	:				List[Any]										= """|""".join(sys.argv[1:])
UpperCamelCase_	:				List[str]										= re.compile(rF'''^({joined_dirs}).*?\.py$''')

UpperCamelCase_	:				str										= [x for x in modified_files if regex.match(x)]
print(""" """.join(relevant_modified_files), end="""""")


