

'''simple docstring'''







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

import requests
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__=None					)      ->      int:
       A_						       =   None
       if token is not None:
              A_						       =   {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

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

       try:
              job_links.update({job["""name"""]: job["""html_url"""] for job in result["""jobs"""]}					)
              A_						       =   math.ceil((result["""total_count"""] - 1_00) / 1_00					)

              for i in range(UpperCAmelCase__					):
                     A_						       =   requests.get(url + F'''&page={i + 2}''',							headers=UpperCAmelCase__					).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    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__=None					)      ->      Any:
       A_						       =   None
       if token is not None:
              A_						       =   {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

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

       try:
              artifacts.update({artifact["""name"""]: artifact["""archive_download_url"""] for artifact in result["""artifacts"""]}					)
              A_						       =   math.ceil((result["""total_count"""] - 1_00) / 1_00					)

              for i in range(UpperCAmelCase__					):
                     A_						       =   requests.get(url + F'''&page={i + 2}''',							headers=UpperCAmelCase__					).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    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__,							UpperCAmelCase__					)      ->      Optional[Any]:
       A_						       =   None
       if token is not None:
              A_						       =   {"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

       A_						       =   requests.get(UpperCAmelCase__,							headers=UpperCAmelCase__,							allow_redirects=UpperCAmelCase__					)
       A_						       =   result.headers["""Location"""]
       A_						       =   requests.get(UpperCAmelCase__,							allow_redirects=UpperCAmelCase__					)
       A_						       =   os.path.join(UpperCAmelCase__,							F'''{artifact_name}.zip'''					)
       with open(UpperCAmelCase__,							"""wb"""					) as fp:
              fp.write(response.content					)
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__=None					)      ->      Optional[int]:
       A_						       =   []
       A_						       =   []
       A_						       =   None

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

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

       A_						       =   None
       if job_name and job_links:
              A_						       =   job_links.get(UpperCAmelCase__,							UpperCAmelCase__					)

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

       return result
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__=None					)      ->      str:
       A_						       =   []

       A_						       =   [os.path.join(UpperCAmelCase__,							UpperCAmelCase__					) for p in os.listdir(UpperCAmelCase__					) if p.endswith(""".zip"""					)]
       for p in paths:
              errors.extend(get_errors_from_single_artifact(UpperCAmelCase__,							job_links=UpperCAmelCase__					)					)

       return errors
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__=None					)      ->      int:
       A_						       =   Counter()
       counter.update([x[1] for x in logs]					)
       A_						       =   counter.most_common()
       A_						       =   {}
       for error, count in counts:
              if error_filter is None or error not in error_filter:
                     A_						       =   {"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

       A_						       =   dict(sorted(r.items(),							key=lambda UpperCAmelCase__					: item[1]["count"],							reverse=UpperCAmelCase__					)					)
       return r
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      str:
       A_						       =   test.split("""::"""					)[0]
       if test.startswith("""tests/models/"""					):
              A_						       =   test.split("""/"""					)[2]
       else:
              A_						       =   None

       return test
def    UpperCAmelCase__     (   UpperCAmelCase__,							UpperCAmelCase__=None					)      ->      int:
       A_						       =   [(x[0], x[1], get_model(x[2]					)) for x in logs]
       A_						       =   [x for x in logs if x[2] is not None]
       A_						       =   {x[2] for x in logs}

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

       A_						       =   dict(sorted(r.items(),							key=lambda UpperCAmelCase__					: item[1]["count"],							reverse=UpperCAmelCase__					)					)
       return r
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      Union[str, Any]:
       A_						       =   """| no. | error | status |"""
       A_						       =   """|-:|:-|:-|"""
       A_						       =   [header, sep]
       for error in reduced_by_error:
              A_						       =   reduced_by_error[error]["""count"""]
              A_						       =   F'''| {count} | {error[:1_00]} |  |'''
              lines.append(UpperCAmelCase__					)

       return "\n".join(UpperCAmelCase__					)
def    UpperCAmelCase__     (   UpperCAmelCase__					)      ->      str:
       A_						       =   """| model | no. of errors | major error | count |"""
       A_						       =   """|-:|-:|-:|-:|"""
       A_						       =   [header, sep]
       for model in reduced_by_model:
              A_						       =   reduced_by_model[model]["""count"""]
              A_       ,      A_						       =   list(reduced_by_model[model]["""errors"""].items()					)[0]
              A_						       =   F'''| {model} | {count} | {error[:60]} | {_count} |'''
              lines.append(UpperCAmelCase__					)

       return "\n".join(UpperCAmelCase__					)


if __name__ == "__main__":
      __lowerCamelCase									=     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.''')
      __lowerCamelCase									=     parser.parse_args()

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

      __lowerCamelCase									=     get_job_links(args.workflow_run_id, token=args.token)
      __lowerCamelCase									=     {}
      # 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:
                        __lowerCamelCase									=     k.find(''' / ''')
                        __lowerCamelCase									=     k[index + len(''' / ''') :]
                  __lowerCamelCase									=     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)

      __lowerCamelCase									=     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)

      __lowerCamelCase									=     get_all_errors(args.output_dir, job_links=job_links)

      # `e[1]` is the error
      __lowerCamelCase									=     Counter()
      counter.update([e[1] for e in errors])

      # print the top 30 most common test errors
      __lowerCamelCase									=     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)

      __lowerCamelCase									=     reduce_by_error(errors)
      __lowerCamelCase									=     reduce_by_model(errors)

      __lowerCamelCase									=     make_github_table(reduced_by_error)
      __lowerCamelCase									=     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)



'''simple docstring'''







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


__lowerCamelCase									=     {
    '''configuration_whisper''': ['''WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''WhisperConfig''', '''WhisperOnnxConfig'''],
    '''feature_extraction_whisper''': ['''WhisperFeatureExtractor'''],
    '''processing_whisper''': ['''WhisperProcessor'''],
    '''tokenization_whisper''': ['''WhisperTokenizer'''],
}

try:
      if not is_tokenizers_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase									=     ['''WhisperTokenizerFast''']

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase									=     [
          '''WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''WhisperForConditionalGeneration''',
          '''WhisperModel''',
          '''WhisperPreTrainedModel''',
          '''WhisperForAudioClassification''',
      ]

try:
      if not is_tf_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase									=     [
          '''TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST''',
          '''TFWhisperForConditionalGeneration''',
          '''TFWhisperModel''',
          '''TFWhisperPreTrainedModel''',
      ]

try:
      if not is_flax_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      __lowerCamelCase									=     [
          '''FlaxWhisperForConditionalGeneration''',
          '''FlaxWhisperModel''',
          '''FlaxWhisperPreTrainedModel''',
          '''FlaxWhisperForAudioClassification''',
      ]


if TYPE_CHECKING:
      from .configuration_whisper import WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP, WhisperConfig, WhisperOnnxConfig
      from .feature_extraction_whisper import WhisperFeatureExtractor
      from .processing_whisper import WhisperProcessor
      from .tokenization_whisper import WhisperTokenizer

      try:
            if not is_tokenizers_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .tokenization_whisper_fast import WhisperTokenizerFast

      try:
            if not is_torch_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_whisper import (
                WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
                WhisperForAudioClassification,
                WhisperForConditionalGeneration,
                WhisperModel,
                WhisperPreTrainedModel,
            )

      try:
            if not is_tf_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_tf_whisper import (
                TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
                TFWhisperForConditionalGeneration,
                TFWhisperModel,
                TFWhisperPreTrainedModel,
            )

      try:
            if not is_flax_available():
                  raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
            pass
      else:
            from .modeling_flax_whisper import (
                FlaxWhisperForAudioClassification,
                FlaxWhisperForConditionalGeneration,
                FlaxWhisperModel,
                FlaxWhisperPreTrainedModel,
            )

else:
      import sys

      __lowerCamelCase									=     _LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)
