




'''simple docstring'''







import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


A									=get_logger(__name__)


class     _a						:
       __a       :  Tuple            =      'dummy_data'
       __a       :  Dict            =      'datasets'
       __a       :  int            =      False
       def __init__(			self		:			List[str]     ,       lowercase		:			str     ,       lowercase		:			str     ,       lowercase		:			Union[Version, str]     ,       lowercase		:			Optional[str] = None     ,       lowercase		:			bool = False     ,       lowercase		:			bool = True     ,       lowercase		:			Optional[List[Callable]] = None     ,       ):



           '''simple docstring'''

           UpperCAmelCase     =	0
           UpperCAmelCase     =	dataset_name
           UpperCAmelCase     =	cache_dir
           UpperCAmelCase     =	use_local_dummy_data
           UpperCAmelCase     =	config
           # download_callbacks take a single url as input
           UpperCAmelCase     =	download_callbacks or []
           # if False, it doesn't load existing files and it returns the paths of the dummy files relative
           # to the dummy_data zip file root
           UpperCAmelCase     =	load_existing_dummy_data

           # TODO(PVP, QL) might need to make this more general
           UpperCAmelCase     =	str(lowercase       )
           # to be downloaded
           UpperCAmelCase     =	None
           UpperCAmelCase     =	None
       @property
       def 					A   (			self		:			Any       ):



           '''simple docstring'''

           if self._dummy_file is None:
               UpperCAmelCase     =	self.download_dummy_data()
           return self._dummy_file
       @property
       def 					A   (			self		:			Tuple       ):



           '''simple docstring'''

           if self.config is not None:
               # structure is dummy / config_name / version_name
               return os.path.join('''dummy'''     ,       self.config.name     ,       self.version_name       )
           # structure is dummy / version_name
           return os.path.join('''dummy'''     ,       self.version_name       )
       @property
       def 					A   (			self		:			List[str]       ):



           '''simple docstring'''

           return os.path.join(self.dummy_data_folder     ,       '''dummy_data.zip'''       )
       def 					A   (			self		:			Optional[Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	(
               self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
           )

           UpperCAmelCase     =	cached_path(
               lowercase     ,       cache_dir=self.cache_dir     ,       extract_compressed_file=lowercase     ,       force_extract=lowercase       )

           return os.path.join(lowercase     ,       self.dummy_file_name       )
       @property
       def 					A   (			self		:			int       ):



           '''simple docstring'''

           return os.path.join(self.datasets_scripts_dir     ,       self.dataset_name     ,       self.dummy_zip_file       )
       @property
       def 					A   (			self		:			Any       ):



           '''simple docstring'''

           if self._bucket_url is None:
               UpperCAmelCase     =	hf_github_url(self.dataset_name     ,       self.dummy_zip_file.replace(os.sep     ,       '''/'''       )       )
           return self._bucket_url
       @property
       def 					A   (			self		:			int       ):



           '''simple docstring'''

           if os.path.isdir(self.dummy_file       ):
               return self.dummy_file
           # else cut off path to file -> example `xsum`.
           return "/".join(self.dummy_file.replace(os.sep     ,       '''/'''       ).split('''/'''       )[:-1]       )
       def 					A   (			self		:			Union[str, Any]     ,       lowercase		:			Dict     ,       *lowercase		:			Any       ):



           '''simple docstring'''

           if self.load_existing_dummy_data:
               # dummy data is downloaded and tested
               UpperCAmelCase     =	self.dummy_file
           else:
               # dummy data cannot be downloaded and only the path to dummy file is returned
               UpperCAmelCase     =	self.dummy_file_name

           # special case when data_url is a dict
           if isinstance(lowercase     ,       lowercase       ):
               return self.create_dummy_data_dict(lowercase     ,       lowercase       )
           elif isinstance(lowercase     ,       (list, tuple)       ):
               return self.create_dummy_data_list(lowercase     ,       lowercase       )
           else:
               return self.create_dummy_data_single(lowercase     ,       lowercase       )
       def 					A   (			self		:			Any     ,       lowercase		:			str     ,       *lowercase		:			Any       ):



           '''simple docstring'''

           return self.download_and_extract(lowercase       )
       def 					A   (			self		:			Tuple     ,       lowercase		:			Union[str, Any]     ,       lowercase		:			Optional[Any]       ):



           '''simple docstring'''

           return self.download_and_extract(lowercase       )
       def 					A   (			self		:			Dict     ,       lowercase		:			Union[str, Any]     ,       *lowercase		:			Optional[int]     ,       **lowercase		:			Any       ):



           '''simple docstring'''

           return path
       def 					A   (			self		:			int       ):



           '''simple docstring'''

           return {}
       def 					A   (			self		:			str     ,       lowercase		:			Optional[int]     ,       lowercase		:			List[Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	{}
           for key, single_urls in data_url.items():
               for download_callback in self.download_callbacks:
                   if isinstance(lowercase     ,       lowercase       ):
                       for single_url in single_urls:
                           download_callback(lowercase       )
                   else:
                       UpperCAmelCase     =	single_urls
                       download_callback(lowercase       )
                   # we force the name of each key to be the last file / folder name of the url path
                   # if the url has arguments, we need to encode them with urllib.parse.quote_plus
               if isinstance(lowercase     ,       lowercase       ):
                   UpperCAmelCase     =	[os.path.join(lowercase     ,       urllib.parse.quote_plus(Path(lowercase       ).name       )       ) for x in single_urls]
               else:
                   UpperCAmelCase     =	single_urls
                   UpperCAmelCase     =	os.path.join(lowercase     ,       urllib.parse.quote_plus(Path(lowercase       ).name       )       )
               UpperCAmelCase     =	value

           # make sure that values are unique
           if all(isinstance(lowercase     ,       lowercase       ) for i in dummy_data_dict.values()       ) and len(set(dummy_data_dict.values()       )       ) < len(
               dummy_data_dict.values()       ):
               # append key to value to make its name unique
               UpperCAmelCase     =	{key: value + key for key, value in dummy_data_dict.items()}

           return dummy_data_dict
       def 					A   (			self		:			Optional[Any]     ,       lowercase		:			Any     ,       lowercase		:			Union[str, Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	[]
           # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
           UpperCAmelCase     =	all(bool(re.findall('''[0-9]{3,}-of-[0-9]{3,}'''     ,       lowercase       )       ) for url in data_url       )
           UpperCAmelCase     =	all(
               url.startswith('''https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed'''       ) for url in data_url       )
           if data_url and (is_tf_records or is_pubmed_records):
               UpperCAmelCase     =	[data_url[0]] * len(lowercase       )
           for single_url in data_url:
               for download_callback in self.download_callbacks:
                   download_callback(lowercase       )
               # we force the name of each key to be the last file / folder name of the url path
               # if the url has arguments, we need to encode them with urllib.parse.quote_plus
               UpperCAmelCase     =	os.path.join(lowercase     ,       urllib.parse.quote_plus(single_url.split('''/'''       )[-1]       )       )
               dummy_data_list.append(lowercase       )
           return dummy_data_list
       def 					A   (			self		:			str     ,       lowercase		:			Union[str, Any]     ,       lowercase		:			List[Any]       ):



           '''simple docstring'''

           for download_callback in self.download_callbacks:
               download_callback(lowercase       )
           # we force the name of each key to be the last file / folder name of the url path
           # if the url has arguments, we need to encode them with urllib.parse.quote_plus
           UpperCAmelCase     =	os.path.join(lowercase     ,       urllib.parse.quote_plus(data_url.split('''/'''       )[-1]       )       )
           if os.path.exists(lowercase       ) or not self.load_existing_dummy_data:
               return value
           else:
               # Backward compatibility, maybe deprecate at one point.
               # For many datasets with single url calls to dl_manager.download_and_extract,
               # the dummy_data.zip file is actually the zipped downloaded file
               # while now we expected the dummy_data.zip file to be a directory containing
               # the downloaded file.
               return path_to_dummy_data
       def 					A   (			self		:			int       ):



           '''simple docstring'''

           pass
       def 					A   (			self		:			Union[str, Any]       ):



           '''simple docstring'''

           pass
       def 					A   (			self		:			int     ,       lowercase		:			Tuple       ):



           '''simple docstring'''

           def _iter_archive_members(lowercase		:			Union[str, Any]       ):
               # this preserves the order of the members inside the ZIP archive
               UpperCAmelCase     =	Path(self.dummy_file       ).parent
               UpperCAmelCase     =	path.relative_to(lowercase       )
               with ZipFile(self.local_path_to_dummy_data       ) as zip_file:
                   UpperCAmelCase     =	zip_file.namelist()
               for member in members:
                   if member.startswith(relative_path.as_posix()       ):
                       yield dummy_parent_path.joinpath(lowercase       )

           UpperCAmelCase     =	Path(lowercase       )
           UpperCAmelCase     =	_iter_archive_members(lowercase       ) if self.use_local_dummy_data else path.rglob('''*'''       )
           for file_path in file_paths:
               if file_path.is_file() and not file_path.name.startswith(('''.''', '''__''')       ):
                   yield file_path.relative_to(lowercase       ).as_posix(), file_path.open('''rb'''       )







       def 					A   (			self		:			Optional[int]     ,       lowercase		:			Union[str, Any]       ):



           '''simple docstring'''

           if not isinstance(lowercase     ,       lowercase       ):
               UpperCAmelCase     =	[paths]
           for path in paths:
               if os.path.isfile(lowercase       ):
                   if os.path.basename(lowercase       ).startswith(('''.''', '''__''')       ):
                       return
                   yield path
               else:
                   for dirpath, dirnames, filenames in os.walk(lowercase       ):
                       if os.path.basename(lowercase       ).startswith(('''.''', '''__''')       ):
                           continue
                       dirnames.sort()
                       for filename in sorted(lowercase       ):
                           if filename.startswith(('''.''', '''__''')       ):
                               continue
                           yield os.path.join(lowercase     ,       lowercase       )










'''simple docstring'''







import math
from typing import Optional

import numpy as np

from ...configuration_utils import PretrainedConfig
from ...utils import logging


A									=logging.get_logger(__name__)

A									={
    'facebook/encodec_24khz': 'https://huggingface.co/facebook/encodec_24khz/resolve/main/config.json',
    'facebook/encodec_48khz': 'https://huggingface.co/facebook/encodec_48khz/resolve/main/config.json',
}


class     _a						(			__a				):
       __a       :  Union[str, Any]            =      """encodec"""
       def __init__(			self		:			Optional[int]     ,       lowercase		:			Union[str, Any]=[1.5, 3.0, 6.0, 12.0, 24.0]     ,       lowercase		:			str=24_000     ,       lowercase		:			int=1     ,       lowercase		:			int=False     ,       lowercase		:			List[str]=None     ,       lowercase		:			Tuple=None     ,       lowercase		:			int=128     ,       lowercase		:			List[Any]=32     ,       lowercase		:			Optional[int]=1     ,       lowercase		:			Optional[int]=[8, 5, 4, 2]     ,       lowercase		:			Union[str, Any]="weight_norm"     ,       lowercase		:			Optional[int]=7     ,       lowercase		:			Tuple=7     ,       lowercase		:			Tuple=3     ,       lowercase		:			Union[str, Any]=2     ,       lowercase		:			Optional[Any]=True     ,       lowercase		:			Tuple="reflect"     ,       lowercase		:			Any=2     ,       lowercase		:			List[str]=2     ,       lowercase		:			str=1.0     ,       lowercase		:			List[str]=1_024     ,       lowercase		:			Optional[Any]=None     ,       lowercase		:			Any=True     ,       **lowercase		:			Optional[Any]     ,       ):



           '''simple docstring'''

           UpperCAmelCase     =	target_bandwidths
           UpperCAmelCase     =	sampling_rate
           UpperCAmelCase     =	audio_channels
           UpperCAmelCase     =	normalize
           UpperCAmelCase     =	chunk_length_s
           UpperCAmelCase     =	overlap
           UpperCAmelCase     =	hidden_size
           UpperCAmelCase     =	num_filters
           UpperCAmelCase     =	num_residual_layers
           UpperCAmelCase     =	upsampling_ratios
           UpperCAmelCase     =	norm_type
           UpperCAmelCase     =	kernel_size
           UpperCAmelCase     =	last_kernel_size
           UpperCAmelCase     =	residual_kernel_size
           UpperCAmelCase     =	dilation_growth_rate
           UpperCAmelCase     =	use_causal_conv
           UpperCAmelCase     =	pad_mode
           UpperCAmelCase     =	compress
           UpperCAmelCase     =	num_lstm_layers
           UpperCAmelCase     =	trim_right_ratio
           UpperCAmelCase     =	codebook_size
           UpperCAmelCase     =	codebook_dim if codebook_dim is not None else hidden_size
           UpperCAmelCase     =	use_conv_shortcut

           if self.norm_type not in ["weight_norm", "time_group_norm"]:
               raise ValueError(
                   f"self.norm_type must be one of `\"weight_norm\"`, `\"time_group_norm\"`), got {self.norm_type}"       )

           super().__init__(**lowercase       )
       @property
       def 					A   (			self		:			List[str]       ):



           '''simple docstring'''

           if self.chunk_length_s is None:
               return None
           else:
               return int(self.chunk_length_s * self.sampling_rate       )
       @property
       def 					A   (			self		:			Optional[Any]       ):



           '''simple docstring'''

           if self.chunk_length_s is None or self.overlap is None:
               return None
           else:
               return max(1     ,       int((1.0 - self.overlap) * self.chunk_length       )       )
       @property
       def 					A   (			self		:			Union[str, Any]       ):



           '''simple docstring'''

           UpperCAmelCase     =	np.prod(self.upsampling_ratios       )
           return math.ceil(self.sampling_rate / hop_length       )







       @property
       def 					A   (			self		:			Optional[int]       ):



           '''simple docstring'''

           return int(1_000 * self.target_bandwidths[-1] // (self.frame_rate * 10)       )




