






import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests

def   a_   (			lowerCAmelCase_				:      Tuple,     lowerCAmelCase_				:      Optional[Any]=None     ):
   __lowerCAmelCase							     =     None
   if token is not None:
      __lowerCAmelCase							     =     {"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

   __lowerCAmelCase							     =     F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
   __lowerCAmelCase							     =     requests.get(a_,     headers=a_     ).json()
   __lowerCAmelCase							     =     {}

   try:
      job_links.update({job['name']: job['html_url'] for job in result['jobs']}     )
      __lowerCAmelCase							     =     math.ceil((result['total_count'] - 100) / 100     )

      for i in range(a_     ):
         __lowerCAmelCase							     =     requests.get(url + F"""&page={i + 2}""",     headers=a_     ).json()
         job_links.update({job['name']: job['html_url'] for job in result['jobs']}     )

      return job_links
   except Exception:
      print(F"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""     )

   return {}

def   a_   (			lowerCAmelCase_				:      List[str],     lowerCAmelCase_				:      Optional[int]=None     ):
   __lowerCAmelCase							     =     None
   if token is not None:
      __lowerCAmelCase							     =     {"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

   __lowerCAmelCase							     =     F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
   __lowerCAmelCase							     =     requests.get(a_,     headers=a_     ).json()
   __lowerCAmelCase							     =     {}

   try:
      artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}     )
      __lowerCAmelCase							     =     math.ceil((result['total_count'] - 100) / 100     )

      for i in range(a_     ):
         __lowerCAmelCase							     =     requests.get(url + F"""&page={i + 2}""",     headers=a_     ).json()
         artifacts.update({artifact['name']: artifact['archive_download_url'] for artifact in result['artifacts']}     )

      return artifacts
   except Exception:
      print(F"""Unknown error, could not fetch links:\n{traceback.format_exc()}"""     )

   return {}

def   a_   (			lowerCAmelCase_				:      Optional[int],     lowerCAmelCase_				:      str,     lowerCAmelCase_				:      Any,     lowerCAmelCase_				:      Any     ):
   __lowerCAmelCase							     =     None
   if token is not None:
      __lowerCAmelCase							     =     {"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

   __lowerCAmelCase							     =     requests.get(a_,     headers=a_,     allow_redirects=a_     )
   __lowerCAmelCase							     =     result.headers["Location"]
   __lowerCAmelCase							     =     requests.get(a_,     allow_redirects=a_     )
   __lowerCAmelCase							     =     os.path.join(a_,     F"""{artifact_name}.zip"""     )
   with open(a_,     'wb'     ) as fp:
      fp.write(response.content     )

def   a_   (			lowerCAmelCase_				:      List[str],     lowerCAmelCase_				:      Union[str, Any]=None     ):
   __lowerCAmelCase							     =     []
   __lowerCAmelCase							     =     []
   __lowerCAmelCase							     =     None

   with zipfile.ZipFile(a_     ) as z:
      for filename in z.namelist():
         if not os.path.isdir(a_     ):
            # read the file
            if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
               with z.open(a_     ) as f:
                  for line in f:
                     __lowerCAmelCase							     =     line.decode('UTF-8'     ).strip()
                     if filename == "failures_line.txt":
                        try:
                           # `error_line` is the place where `error` occurs
                           __lowerCAmelCase							     =     line[: line.index(': '     )]
                           __lowerCAmelCase							     =     line[line.index(': '     ) + len(': '     ) :]
                           errors.append([error_line, error]     )
                        except Exception:
                           # skip un-related lines
                           pass
                     elif filename == "summary_short.txt" and line.startswith('FAILED '     ):
                        # `test` is the test method that failed
                        __lowerCAmelCase							     =     line[len('FAILED '     ) :]
                        failed_tests.append(a_     )
                     elif filename == "job_name.txt":
                        __lowerCAmelCase							     =     line

   if len(a_     ) != len(a_     ):
      raise ValueError(
          F"""`errors` and `failed_tests` should have the same number of elements. Got {len(a_     )} for `errors` """
          F"""and {len(a_     )} for `failed_tests` instead. The test reports in {artifact_zip_path} have some"""
          ' problem.'     )

   __lowerCAmelCase							     =     None
   if job_name and job_links:
      __lowerCAmelCase							     =     job_links.get(a_,     a_     )

   # A list with elements of the form (line of error, error, failed test)
   __lowerCAmelCase							     =     [x + [y] + [job_link] for x, y in zip(a_,     a_     )]

   return result

def   a_   (			lowerCAmelCase_				:      str,     lowerCAmelCase_				:      int=None     ):
   __lowerCAmelCase							     =     []

   __lowerCAmelCase							     =     [os.path.join(a_,     a_     ) for p in os.listdir(a_     ) if p.endswith('.zip'     )]
   for p in paths:
      errors.extend(get_errors_from_single_artifact(a_,     job_links=a_     )     )

   return errors

def   a_   (			lowerCAmelCase_				:      Tuple,     lowerCAmelCase_				:      Any=None     ):
   __lowerCAmelCase							     =     Counter()
   counter.update([x[1] for x in logs]     )
   __lowerCAmelCase							     =     counter.most_common()
   __lowerCAmelCase							     =     {}
   for error, count in counts:
      if error_filter is None or error not in error_filter:
         __lowerCAmelCase							     =     {"count": count, "failed_tests": [(x[2], x[0]) for x in logs if x[1] == error]}

   __lowerCAmelCase							     =     dict(sorted(r.items(),     key=lambda lowerCAmelCase_     : item[1]["count"],     reverse=a_     )     )
   return r

def   a_   (			lowerCAmelCase_				:      int     ):
   __lowerCAmelCase							     =     test.split('::'     )[0]
   if test.startswith('tests/models/'     ):
      __lowerCAmelCase							     =     test.split('/'     )[2]
   else:
      __lowerCAmelCase							     =     None

   return test

def   a_   (			lowerCAmelCase_				:      Dict,     lowerCAmelCase_				:      Optional[Any]=None     ):
   __lowerCAmelCase							     =     [(x[0], x[1], get_model(x[2]     )) for x in logs]
   __lowerCAmelCase							     =     [x for x in logs if x[2] is not None]
   __lowerCAmelCase							     =     {x[2] for x in logs}

   __lowerCAmelCase							     =     {}
   for test in tests:
      __lowerCAmelCase							     =     Counter()
      # count by errors in `test`
      counter.update([x[1] for x in logs if x[2] == test]     )
      __lowerCAmelCase							     =     counter.most_common()
      __lowerCAmelCase							     =     {error: count for error, count in counts if (error_filter is None or error not in error_filter)}
      __lowerCAmelCase							     =     sum(error_counts.values()     )
      if n_errors > 0:
         __lowerCAmelCase							     =     {"count": n_errors, "errors": error_counts}

   __lowerCAmelCase							     =     dict(sorted(r.items(),     key=lambda lowerCAmelCase_     : item[1]["count"],     reverse=a_     )     )
   return r

def   a_   (			lowerCAmelCase_				:      List[str]     ):
   __lowerCAmelCase							     =     "| no. | error | status |"
   __lowerCAmelCase							     =     "|-:|:-|:-|"
   __lowerCAmelCase							     =     [header, sep]
   for error in reduced_by_error:
      __lowerCAmelCase							     =     reduced_by_error[error]["count"]
      __lowerCAmelCase							     =     F"""| {count} | {error[:100]} |  |"""
      lines.append(a_     )

   return "\n".join(a_     )

def   a_   (			lowerCAmelCase_				:      str     ):
   __lowerCAmelCase							     =     "| model | no. of errors | major error | count |"
   __lowerCAmelCase							     =     "|-:|-:|-:|-:|"
   __lowerCAmelCase							     =     [header, sep]
   for model in reduced_by_model:
      __lowerCAmelCase							     =     reduced_by_model[model]["count"]
      __lowerCAmelCase							     =     list(reduced_by_model[model]['errors'].items()     )[0]
      __lowerCAmelCase							     =     F"""| {model} | {count} | {error[:60]} | {_count} |"""
      lines.append(a_     )

   return "\n".join(a_     )


if __name__ == "__main__":
     _snake_case  :   Optional[int]						   =  argparse.ArgumentParser()
     # Required parameters
     parser.add_argument('--workflow_run_id', type=str, required=True, help='A GitHub Actions workflow run id.')
     parser.add_argument(
         '--output_dir',
         type=str,
         required=True,
         help='Where to store the downloaded artifacts and other result files.',
     )
     parser.add_argument('--token', default=None, type=str, help='A token that has actions:read permission.')
     _snake_case  :   Tuple						   =  parser.parse_args()

     os.makedirs(args.output_dir, exist_ok=True)

     _snake_case  :   Tuple						   =  get_job_links(args.workflow_run_id, token=args.token)
     _snake_case  :   Optional[Any]						   =  {}
     # To deal with `workflow_call` event, where a job name is the combination of the job names in the caller and callee.
     # For example, `PyTorch 1.11 / Model tests (models/albert, single-gpu)`.
     if _job_links:
          for k, v in _job_links.items():
               # This is how GitHub actions combine job names.
               if " / " in k:
                    _snake_case  :   Tuple						   =  k.find(' / ')
                    _snake_case  :   str						   =  k[index + len(' / ') :]
               _snake_case  :   Any						   =  v
     with open(os.path.join(args.output_dir, 'job_links.json'), 'w', encoding='UTF-8') as fp:
          json.dump(job_links, fp, ensure_ascii=False, indent=4)

     _snake_case  :   Tuple						   =  get_artifacts_links(args.workflow_run_id, token=args.token)
     with open(os.path.join(args.output_dir, 'artifacts.json'), 'w', encoding='UTF-8') as fp:
          json.dump(artifacts, fp, ensure_ascii=False, indent=4)

     for idx, (name, url) in enumerate(artifacts.items()):
          download_artifact(name, url, args.output_dir, args.token)
          # Be gentle to GitHub
          time.sleep(1)

     _snake_case  :   Any						   =  get_all_errors(args.output_dir, job_links=job_links)

     # `e[1]` is the error
     _snake_case  :   Optional[Any]						   =  Counter()
     counter.update([e[1] for e in errors])

     # print the top 30 most common test errors
     _snake_case  :   str						   =  counter.most_common(30)
     for item in most_common:
          print(item)

     with open(os.path.join(args.output_dir, 'errors.json'), 'w', encoding='UTF-8') as fp:
          json.dump(errors, fp, ensure_ascii=False, indent=4)

     _snake_case  :   Any						   =  reduce_by_error(errors)
     _snake_case  :   Optional[int]						   =  reduce_by_model(errors)

     _snake_case  :   Optional[Any]						   =  make_github_table(reduced_by_error)
     _snake_case  :   List[Any]						   =  make_github_table_per_model(reduced_by_model)

     with open(os.path.join(args.output_dir, 'reduced_by_error.txt'), 'w', encoding='UTF-8') as fp:
          fp.write(sa)
     with open(os.path.join(args.output_dir, 'reduced_by_model.txt'), 'w', encoding='UTF-8') as fp:
          fp.write(sa)








import math
from typing import Optional

import numpy as np

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


_snake_case  :   List[str]						   =  logging.get_logger(__name__)

_snake_case  :   Dict						   =  {
    '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     _UpperCAmelCase   (   _UpperCamelCase   ):

  """simple docstring"""


  a_      =			"""encodec"""






  def __init__(    self			:		Optional[Any] ,  lowerCAmelCase_			:		List[Any]=[1.5, 3.0, 6.0, 12.0, 24.0] ,  lowerCAmelCase_			:		Optional[Any]=2_4_0_0_0 ,  lowerCAmelCase_			:		int=1 ,  lowerCAmelCase_			:		Union[str, Any]=False ,  lowerCAmelCase_			:		Optional[Any]=None ,  lowerCAmelCase_			:		Union[str, Any]=None ,  lowerCAmelCase_			:		Optional[Any]=1_2_8 ,  lowerCAmelCase_			:		List[Any]=3_2 ,  lowerCAmelCase_			:		Optional[Any]=1 ,  lowerCAmelCase_			:		Optional[int]=[8, 5, 4, 2] ,  lowerCAmelCase_			:		Optional[Any]="weight_norm" ,  lowerCAmelCase_			:		Tuple=7 ,  lowerCAmelCase_			:		Optional[int]=7 ,  lowerCAmelCase_			:		Dict=3 ,  lowerCAmelCase_			:		Optional[Any]=2 ,  lowerCAmelCase_			:		List[Any]=True ,  lowerCAmelCase_			:		Dict="reflect" ,  lowerCAmelCase_			:		List[Any]=2 ,  lowerCAmelCase_			:		int=2 ,  lowerCAmelCase_			:		Dict=1.0 ,  lowerCAmelCase_			:		str=1_0_2_4 ,  lowerCAmelCase_			:		Dict=None ,  lowerCAmelCase_			:		List[Any]=True ,  **lowerCAmelCase_			:		Optional[Any] ,  )							->						Union[str, Any]:
     __lowerCAmelCase							     =     target_bandwidths
     __lowerCAmelCase							     =     sampling_rate
     __lowerCAmelCase							     =     audio_channels
     __lowerCAmelCase							     =     normalize
     __lowerCAmelCase							     =     chunk_length_s
     __lowerCAmelCase							     =     overlap
     __lowerCAmelCase							     =     hidden_size
     __lowerCAmelCase							     =     num_filters
     __lowerCAmelCase							     =     num_residual_layers
     __lowerCAmelCase							     =     upsampling_ratios
     __lowerCAmelCase							     =     norm_type
     __lowerCAmelCase							     =     kernel_size
     __lowerCAmelCase							     =     last_kernel_size
     __lowerCAmelCase							     =     residual_kernel_size
     __lowerCAmelCase							     =     dilation_growth_rate
     __lowerCAmelCase							     =     use_causal_conv
     __lowerCAmelCase							     =     pad_mode
     __lowerCAmelCase							     =     compress
     __lowerCAmelCase							     =     num_lstm_layers
     __lowerCAmelCase							     =     trim_right_ratio
     __lowerCAmelCase							     =     codebook_size
     __lowerCAmelCase							     =     codebook_dim if codebook_dim is not None else hidden_size
     __lowerCAmelCase							     =     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     lowercase		(    self			:		Union[str, Any]					)							->						Optional[int]:
     if self.chunk_length_s is None:
        return None
     else:
        return int(self.chunk_length_s * self.sampling_rate					)






  @property
  def     lowercase		(    self			:		Optional[Any]					)							->						Optional[int]:
     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     lowercase		(    self			:		Any					)							->						int:
     __lowerCAmelCase							     =     np.prod(self.upsampling_ratios					)
     return math.ceil(self.sampling_rate / hop_length					)






  @property
  def     lowercase		(    self			:		str					)							->						int:
     return int(1_0_0_0 * self.target_bandwidths[-1] // (self.frame_rate * 1_0)					)

