





'''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


lowercase__			,  lowercase__			,  lowercase__		:     Tuple			=							False, False, False
@dataclass
class 							__lowerCAmelCase	:






       """simple docstring"""
       _snake_case      :	Optional[int]									=       None
       _snake_case      :	bool									=       True
       _snake_case      :	bool									=       True
       _snake_case      :	Optional[str]									=       None
       # Automatically constructed
       _snake_case      :	ClassVar[str]									=       "dict"
       _snake_case      :	ClassVar[Any]									=       pa.struct({'bytes': pa.binary(), 'path': pa.string()}					)
       _snake_case      :	str									=       field(default='Audio'		,		init=__magic_name__		,		repr=__magic_name__					)





       def __call__(				self  :						Optional[int]	)       ->	str:

            '''simple docstring'''




            return self.pa_type





       def snake_case__		(				self  :						Optional[Any]			,					lowerCAmelCase__  :						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(lowerCAmelCase__			,					lowerCAmelCase__	):
                 return {"bytes": None, "path": value}
            elif isinstance(lowerCAmelCase__			,					lowerCAmelCase__	):
                 return {"bytes": value, "path": None}
            elif "array" in value:
                 # convert the audio array to wav bytes
                 _UpperCamelCase							       =			BytesIO()
                 sf.write(lowerCAmelCase__			,					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	) / 32767
                      else:
                           _UpperCamelCase							       =			np.memmap(value['''path''']			,					dtype='''h'''			,					mode='''r'''	).astype(np.floataa	) / 32767

                      _UpperCamelCase							       =			BytesIO(bytes()	)
                      sf.write(lowerCAmelCase__			,					lowerCAmelCase__			,					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 snake_case__		(				self  :						Dict			,					lowerCAmelCase__  :						dict			,					lowerCAmelCase__  :						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(lowerCAmelCase__	)[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(lowerCAmelCase__			,					config.HUB_DATASETS_URL	)['''repo_id''']
                      _UpperCamelCase							       =			token_per_repo_id[repo_id]
                 except (ValueError, KeyError):
                      _UpperCamelCase							       =			None

                 with xopen(lowerCAmelCase__			,					'''rb'''			,					use_auth_token=lowerCAmelCase__	) as f:
                      _UpperCamelCase       ,							_UpperCamelCase							       =			sf.read(lowerCAmelCase__	)

            else:
                 _UpperCamelCase       ,							_UpperCamelCase							       =			sf.read(lowerCAmelCase__	)

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

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





       def snake_case__		(				self  :						Optional[Any]	)       ->	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 snake_case__		(				self  :						int			,					lowerCAmelCase__  :						Union[pa.StringArray, pa.StructArray]	)       ->	pa.StructArray:

            '''simple docstring'''




            if pa.types.is_string(storage.type	):
                 _UpperCamelCase							       =			pa.array([None] * len(lowerCAmelCase__	)			,					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(lowerCAmelCase__	)			,					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(lowerCAmelCase__	) 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(lowerCAmelCase__	)			,					type=pa.binary()	)
                 if storage.type.get_field_index('''path'''	) >= 0:
                      _UpperCamelCase							       =			storage.field('''path'''	)
                 else:
                      _UpperCamelCase							       =			pa.array([None] * len(lowerCAmelCase__	)			,					type=pa.string()	)
                 _UpperCamelCase							       =			pa.StructArray.from_arrays([bytes_array, path_array]			,					['''bytes''', '''path''']			,					mask=storage.is_null()	)
            return array_cast(lowerCAmelCase__			,					self.pa_type	)







       def snake_case__		(				self  :						Tuple			,					lowerCAmelCase__  :						pa.StructArray	)       ->	pa.StructArray:

            '''simple docstring'''




            @no_op_if_value_is_null
            def path_to_bytes(lowerCAmelCase__  :						Any	):
                 with xopen(lowerCAmelCase__			,					'''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(lowerCAmelCase__	) 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(lowerCAmelCase__			,					self.pa_type	)






import fire

from utils import calculate_rouge, save_json



def 			_A	(      SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE=None	,**SCREAMING_SNAKE_CASE      ):
	UpperCAmelCase__:	Tuple									= [x.strip() for x in open(SCREAMING_SNAKE_CASE      ).readlines()]
	UpperCAmelCase__:	Dict									= [x.strip() for x in open(SCREAMING_SNAKE_CASE      ).readlines()][: len(SCREAMING_SNAKE_CASE      )]
	UpperCAmelCase__:	Any									= calculate_rouge(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,**SCREAMING_SNAKE_CASE      )
	if save_path is not None:
		save_json(SCREAMING_SNAKE_CASE	,SCREAMING_SNAKE_CASE	,indent=SCREAMING_SNAKE_CASE      )
	return metrics  # these print nicely


if __name__ == "__main__":
					fire.Fire(calculate_rouge_path)