
'''simple docstring'''


import argparse
import os
import re

import packaging.version


snake_case_ :  Dict     =					'examples/'
snake_case_ :  Any     =					{
    'examples': (re.compile(r'^check_min_version\("[^"]+"\)\s*$', re.MULTILINE), 'check_min_version("VERSION")\n'),
    'init': (re.compile(r'^__version__\s+=\s+"([^"]+)"\s*$', re.MULTILINE), '__version__ = "VERSION"\n'),
    'setup': (re.compile(r'^(\s*)version\s*=\s*"[^"]+",', re.MULTILINE), r'\1version="VERSION",'),
    'doc': (re.compile(r'^(\s*)release\s*=\s*"[^"]+"$', re.MULTILINE), 'release = "VERSION"\n'),
}
snake_case_ :  Optional[int]     =					{
    'init': 'src/transformers/__init__.py',
    'setup': 'setup.py',
}
snake_case_ :  Optional[int]     =					'README.md'



def  __snake_case     (    _UpperCAmelCase					:       Dict,      _UpperCAmelCase					:       int,      _UpperCAmelCase					:       Optional[int]):
   with open(_UpperCAmelCase,      '''r''',      encoding='''utf-8''',      newline='''\n''') as f:
      UpperCamelCase       =  f.read()
   UpperCamelCase     , UpperCamelCase       =  REPLACE_PATTERNS[pattern]
   UpperCamelCase       =  replace.replace('''VERSION''',      _UpperCAmelCase)
   UpperCamelCase       =  re_pattern.sub(_UpperCAmelCase,      _UpperCAmelCase)
   with open(_UpperCAmelCase,      '''w''',      encoding='''utf-8''',      newline='''\n''') as f:
      f.write(_UpperCAmelCase)



def  __snake_case     (    _UpperCAmelCase					:       Union[str, Any]):
   for folder, directories, fnames in os.walk(_UpperCAmelCase):
      # Removing some of the folders with non-actively maintained examples from the walk
      if "research_projects" in directories:
         directories.remove('''research_projects''')
      if "legacy" in directories:
         directories.remove('''legacy''')
      for fname in fnames:
         if fname.endswith('''.py'''):
            update_version_in_file(os.path.join(_UpperCAmelCase,      _UpperCAmelCase),      _UpperCAmelCase,      pattern='''examples''')



def  __snake_case     (    _UpperCAmelCase					:       Optional[int],      _UpperCAmelCase					:       Tuple=False):
   for pattern, fname in REPLACE_FILES.items():
      update_version_in_file(_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase)
   if not patch:
      update_version_in_examples(_UpperCAmelCase)



def  __snake_case     (    ):
   UpperCamelCase       =  '''🤗 Transformers currently provides the following architectures'''
   UpperCamelCase       =  '''1. Want to contribute a new model?'''
   with open(_UpperCAmelCase,      '''r''',      encoding='''utf-8''',      newline='''\n''') as f:
      UpperCamelCase       =  f.readlines()

   # Find the start of the list.
   UpperCamelCase       =  0
   while not lines[start_index].startswith(_start_prompt):
      start_index += 1
   start_index += 1

   UpperCamelCase       =  start_index
   # Update the lines in the model list.
   while not lines[index].startswith(_end_prompt):
      if lines[index].startswith('''1.'''):
         UpperCamelCase       =  lines[index].replace(
             '''https://huggingface.co/docs/transformers/main/model_doc''',      '''https://huggingface.co/docs/transformers/model_doc''',      )
      index += 1

   with open(_UpperCAmelCase,      '''w''',      encoding='''utf-8''',      newline='''\n''') as f:
      f.writelines(_UpperCAmelCase)



def  __snake_case     (    ):
   with open(REPLACE_FILES['''init'''],      '''r''') as f:
      UpperCamelCase       =  f.read()
   UpperCamelCase       =  REPLACE_PATTERNS['''init'''][0].search(_UpperCAmelCase).groups()[0]
   return packaging.version.parse(_UpperCAmelCase)



def  __snake_case     (    _UpperCAmelCase					:       str=False):
   UpperCamelCase       =  get_version()
   if patch and default_version.is_devrelease:
      raise ValueError('''Can\'t create a patch version from the dev branch, checkout a released version!''')
   if default_version.is_devrelease:
      UpperCamelCase       =  default_version.base_version
   elif patch:
      UpperCamelCase       =  f'{default_version.major}.{default_version.minor}.{default_version.micro + 1}'
   else:
      UpperCamelCase       =  f'{default_version.major}.{default_version.minor + 1}.0'

   # Now let's ask nicely if that's the right one.
   UpperCamelCase       =  input(f'Which version are you releasing? [{default_version}]')
   if len(_UpperCAmelCase) == 0:
      UpperCamelCase       =  default_version

   print(f'Updating version to {version}.')
   global_version_update(_UpperCAmelCase,      patch=_UpperCAmelCase)
   if not patch:
      print('''Cleaning main README, don\'t forget to run `make fix-copies`.''')
      clean_main_ref_in_model_list()



def  __snake_case     (    ):
   UpperCamelCase       =  get_version()
   UpperCamelCase       =  f'{current_version.major}.{current_version.minor + 1}.0.dev0'
   UpperCamelCase       =  current_version.base_version

   # Check with the user we got that right.
   UpperCamelCase       =  input(f'Which version are we developing now? [{dev_version}]')
   if len(_UpperCAmelCase) == 0:
      UpperCamelCase       =  dev_version

   print(f'Updating version to {version}.')
   global_version_update(_UpperCAmelCase)
   print('''Cleaning main README, don\'t forget to run `make fix-copies`.''')
   clean_main_ref_in_model_list()


if __name__ == "__main__":
   snake_case_ :  Any     =					argparse.ArgumentParser()
   parser.add_argument('--post_release', action='store_true', help='Whether this is pre or post release.')
   parser.add_argument('--patch', action='store_true', help='Whether or not this is a patch release.')
   snake_case_ :  int     =					parser.parse_args()
   if not args.post_release:
      pre_release_work(patch=args.patch)
   elif args.patch:
      print('Nothing to do after a patch :-)')
   else:
      post_release_work()







'''simple docstring'''


import math
from typing import Optional

import numpy as np

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


snake_case_ :  Dict     =					logging.get_logger(__name__)

snake_case_ :  Union[str, Any]     =					{
    '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 						lowercase__	(  snake_case_   ):






   '''simple docstring'''







   _snake_case		   =							'''encodec'''







   def __init__(			self ,   lowerCamelCase__=[1.5, 3.0, 6.0, 12.0, 24.0] ,   lowerCamelCase__=2_4_0_0_0 ,   lowerCamelCase__=1 ,   lowerCamelCase__=False ,   lowerCamelCase__=None ,   lowerCamelCase__=None ,   lowerCamelCase__=1_2_8 ,   lowerCamelCase__=3_2 ,   lowerCamelCase__=1 ,   lowerCamelCase__=[8, 5, 4, 2] ,   lowerCamelCase__="weight_norm" ,   lowerCamelCase__=7 ,   lowerCamelCase__=7 ,   lowerCamelCase__=3 ,   lowerCamelCase__=2 ,   lowerCamelCase__=True ,   lowerCamelCase__="reflect" ,   lowerCamelCase__=2 ,   lowerCamelCase__=2 ,   lowerCamelCase__=1.0 ,   lowerCamelCase__=1_0_2_4 ,   lowerCamelCase__=None ,   lowerCamelCase__=True ,   **lowerCamelCase__ ,   ):

      '''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__(**lowerCamelCase__   )







   @property
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      if self.chunk_length_s is None:
         return None
      else:
         return int(self.chunk_length_s * self.sampling_rate   )







   @property
   def       UpperCAmelCase				(			self   ):

      '''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       UpperCAmelCase				(			self   ):

      '''simple docstring'''







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







   @property
   def       UpperCAmelCase				(			self   ):

      '''simple docstring'''







      return int(1_0_0_0 * self.target_bandwidths[-1] // (self.frame_rate * 1_0)   )





