






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

import requests






def     _snake_case    (__lowercase    ,      __lowercase=None):
   UpperCamelCase_									=     None
   if token is not None:
      UpperCamelCase_									=     {'Accept': 'application/vnd.github+json', 'Authorization': f"""Bearer {token}"""}

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

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

      for i in range(_lowerCamelCase):
         UpperCamelCase_									=     requests.get(url + f"""&page={i + 2}"""    ,      headers=_lowerCamelCase).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     _snake_case    (__lowercase    ,      __lowercase=None):
   UpperCamelCase_									=     None
   if token is not None:
      UpperCamelCase_									=     {'Accept': 'application/vnd.github+json', 'Authorization': f"""Bearer {token}"""}

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

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

      for i in range(_lowerCamelCase):
         UpperCamelCase_									=     requests.get(url + f"""&page={i + 2}"""    ,      headers=_lowerCamelCase).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     _snake_case    (__lowercase    ,      __lowercase    ,      __lowercase    ,      __lowercase):
   UpperCamelCase_									=     None
   if token is not None:
      UpperCamelCase_									=     {'Accept': 'application/vnd.github+json', 'Authorization': f"""Bearer {token}"""}

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






def     _snake_case    (__lowercase    ,      __lowercase=None):
   UpperCamelCase_									=     []
   UpperCamelCase_									=     []
   UpperCamelCase_									=     None

   with zipfile.ZipFile(_lowerCamelCase) as z:
      for filename in z.namelist():
         if not os.path.isdir(_lowerCamelCase):
            # read the file
            if filename in ["failures_line.txt", "summary_short.txt", "job_name.txt"]:
               with z.open(_lowerCamelCase) as f:
                  for line in f:
                     UpperCamelCase_									=     line.decode('UTF-8').strip()
                     if filename == "failures_line.txt":
                        try:
                           # `error_line` is the place where `error` occurs
                           UpperCamelCase_									=     line[: line.index(': ')]
                           UpperCamelCase_									=     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
                        UpperCamelCase_									=     line[len('FAILED ') :]
                        failed_tests.append(_lowerCamelCase)
                     elif filename == "job_name.txt":
                        UpperCamelCase_									=     line

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

   UpperCamelCase_									=     None
   if job_name and job_links:
      UpperCamelCase_									=     job_links.get(_lowerCamelCase    ,      _lowerCamelCase)

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

   return result






def     _snake_case    (__lowercase    ,      __lowercase=None):
   UpperCamelCase_									=     []

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

   return errors






def     _snake_case    (__lowercase    ,      __lowercase=None):
   UpperCamelCase_									=     Counter()
   counter.update([x[1] for x in logs])
   UpperCamelCase_									=     counter.most_common()
   UpperCamelCase_									=     {}
   for error, count in counts:
      if error_filter is None or error not in error_filter:
         UpperCamelCase_									=     {'count': count, 'failed_tests': [(x[2], x[0]) for x in logs if x[1] == error]}

   UpperCamelCase_									=     dict(sorted(r.items()    ,      key=lambda __lowercase: item[1]["count"]    ,      reverse=_lowerCamelCase))
   return r






def     _snake_case    (__lowercase):
   UpperCamelCase_									=     test.split('::')[0]
   if test.startswith('tests/models/'):
      UpperCamelCase_									=     test.split('/')[2]
   else:
      UpperCamelCase_									=     None

   return test






def     _snake_case    (__lowercase    ,      __lowercase=None):
   UpperCamelCase_									=     [(x[0], x[1], get_model(x[2])) for x in logs]
   UpperCamelCase_									=     [x for x in logs if x[2] is not None]
   UpperCamelCase_									=     {x[2] for x in logs}

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

   UpperCamelCase_									=     dict(sorted(r.items()    ,      key=lambda __lowercase: item[1]["count"]    ,      reverse=_lowerCamelCase))
   return r






def     _snake_case    (__lowercase):
   UpperCamelCase_									=     '| no. | error | status |'
   UpperCamelCase_									=     '|-:|:-|:-|'
   UpperCamelCase_									=     [header, sep]
   for error in reduced_by_error:
      UpperCamelCase_									=     reduced_by_error[error]['count']
      UpperCamelCase_									=     f"""| {count} | {error[:100]} |  |"""
      lines.append(_lowerCamelCase)

   return "\n".join(_lowerCamelCase)






def     _snake_case    (__lowercase):
   UpperCamelCase_									=     '| model | no. of errors | major error | count |'
   UpperCamelCase_									=     '|-:|-:|-:|-:|'
   UpperCamelCase_									=     [header, sep]
   for model in reduced_by_model:
      UpperCamelCase_									=     reduced_by_model[model]['count']
      UpperCamelCase_									=     list(reduced_by_model[model]['errors'].items())[0]
      UpperCamelCase_									=     f"""| {model} | {count} | {error[:60]} | {_count} |"""
      lines.append(_lowerCamelCase)

   return "\n".join(_lowerCamelCase)


if __name__ == "__main__":
 snake_case__      :	Tuple        =      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__      :	Optional[int]        =      parser.parse_args()

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

 snake_case__      :	List[Any]        =      get_job_links(args.workflow_run_id, token=args.token)
 snake_case__      :	int        =      {}
 # 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__      :	Union[str, Any]        =      k.find(""" / """)
    snake_case__      :	Any        =      k[index + len(""" / """) :]
   snake_case__      :	int        =      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__      :	str        =      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__      :	List[str]        =      Counter()
 counter.update([e[1] for e in errors])

 # print the top 30 most common test errors
 snake_case__      :	Optional[int]        =      counter.most_common(3_0)
 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__      :	Dict        =      reduce_by_error(errors)
 snake_case__      :	int        =      reduce_by_model(errors)

 snake_case__      :	Optional[Any]        =      make_github_table(reduced_by_error)
 snake_case__      :	Optional[int]        =      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)













from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_torch_available,
)


snake_case__      :	List[str]       	=      {
    """configuration_speecht5""": [
        """SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP""",
        """SpeechT5Config""",
        """SpeechT5HifiGanConfig""",
    ],
    """feature_extraction_speecht5""": ["""SpeechT5FeatureExtractor"""],
    """processing_speecht5""": ["""SpeechT5Processor"""],
}

try:
 if not is_sentencepiece_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 snake_case__      :	List[str]       	=      ["""SpeechT5Tokenizer"""]

try:
 if not is_torch_available():
  raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
 pass
else:
 snake_case__      :	Any       	=      [
     """SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST""",
     """SpeechT5ForSpeechToText""",
     """SpeechT5ForSpeechToSpeech""",
     """SpeechT5ForTextToSpeech""",
     """SpeechT5Model""",
     """SpeechT5PreTrainedModel""",
     """SpeechT5HifiGan""",
 ]

if TYPE_CHECKING:
 from .configuration_speechta import (
     SPEECHT5_PRETRAINED_CONFIG_ARCHIVE_MAP,
     SPEECHT5_PRETRAINED_HIFIGAN_CONFIG_ARCHIVE_MAP,
     SpeechTaConfig,
     SpeechTaHifiGanConfig,
 )
 from .feature_extraction_speechta import SpeechTaFeatureExtractor
 from .processing_speechta import SpeechTaProcessor

 try:
  if not is_sentencepiece_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .tokenization_speechta import SpeechTaTokenizer

 try:
  if not is_torch_available():
   raise OptionalDependencyNotAvailable()
 except OptionalDependencyNotAvailable:
  pass
 else:
  from .modeling_speechta import (
      SPEECHT5_PRETRAINED_MODEL_ARCHIVE_LIST,
      SpeechTaForSpeechToSpeech,
      SpeechTaForSpeechToText,
      SpeechTaForTextToSpeech,
      SpeechTaHifiGan,
      SpeechTaModel,
      SpeechTaPreTrainedModel,
  )

else:
 import sys

 snake_case__      :	Optional[int]       	=      _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





