





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

import requests







def       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__=None)       ->   List[Any]:
  __snake_case:						Optional[int]			  =						None
  if token is not None:
    __snake_case:						int			  =						{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

  __snake_case:						int			  =						F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'''
  __snake_case:						Dict			  =						requests.get(__lowerCAmelCase , headers=__lowerCAmelCase).json()
  __snake_case:						List[str]			  =						{}

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

    for i in range(__lowerCAmelCase):
      __snake_case:						List[Any]			  =						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       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__=None)       ->   Optional[int]:
  __snake_case:						Optional[int]			  =						None
  if token is not None:
    __snake_case:						Union[str, Any]			  =						{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

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

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

    for i in range(__lowerCAmelCase):
      __snake_case:						Union[str, Any]			  =						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       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__)       ->   List[Any]:
  __snake_case:						Tuple			  =						None
  if token is not None:
    __snake_case:						int			  =						{"""Accept""": """application/vnd.github+json""", """Authorization""": F'''Bearer {token}'''}

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







def       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__=None)       ->   Optional[int]:
  __snake_case:						Optional[Any]			  =						[]
  __snake_case:						str			  =						[]
  __snake_case:						Dict			  =						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:
              __snake_case:						int			  =						line.decode("""UTF-8""").strip()
              if filename == "failures_line.txt":
                try:
                  # `error_line` is the place where `error` occurs
                  __snake_case:						Optional[int]			  =						line[: line.index(""": """)]
                  __snake_case:						Optional[Any]			  =						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
                __snake_case:						str			  =						line[len("""FAILED """) :]
                failed_tests.append(__lowerCAmelCase)
              elif filename == "job_name.txt":
                __snake_case:						Tuple			  =						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.""")

  __snake_case:						Optional[Any]			  =						None
  if job_name and job_links:
    __snake_case:						Tuple			  =						job_links.get(__lowerCAmelCase , __lowerCAmelCase)

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

  return result







def       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__=None)       ->   Any:
  __snake_case:						Any			  =						[]

  __snake_case:						List[Any]			  =						[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       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__=None)       ->   Dict:
  __snake_case:						int			  =						Counter()
  counter.update([x[1] for x in logs])
  __snake_case:						Any			  =						counter.most_common()
  __snake_case:						int			  =						{}
  for error, count in counts:
    if error_filter is None or error not in error_filter:
      __snake_case:						Tuple			  =						{"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

  __snake_case:						Optional[Any]			  =						dict(sorted(r.items() , key=lambda SCREAMING_SNAKE_CASE__: item[1]["count"] , reverse=__lowerCAmelCase))
  return r







def       A__							(   SCREAMING_SNAKE_CASE__)       ->   Optional[int]:
  __snake_case:						Optional[int]			  =						test.split("""::""")[0]
  if test.startswith("""tests/models/"""):
    __snake_case:						str			  =						test.split("""/""")[2]
  else:
    __snake_case:						str			  =						None

  return test







def       A__							(   SCREAMING_SNAKE_CASE__ , SCREAMING_SNAKE_CASE__=None)       ->   Optional[int]:
  __snake_case:						Optional[Any]			  =						[(x[0], x[1], get_model(x[2])) for x in logs]
  __snake_case:						Union[str, Any]			  =						[x for x in logs if x[2] is not None]
  __snake_case:						int			  =						{x[2] for x in logs}

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

  __snake_case:						List[str]			  =						dict(sorted(r.items() , key=lambda SCREAMING_SNAKE_CASE__: item[1]["count"] , reverse=__lowerCAmelCase))
  return r







def       A__							(   SCREAMING_SNAKE_CASE__)       ->   Union[str, Any]:
  __snake_case:						List[str]			  =						"""| no. | error | status |"""
  __snake_case:						str			  =						"""|-:|:-|:-|"""
  __snake_case:						Any			  =						[header, sep]
  for error in reduced_by_error:
    __snake_case:						Any			  =						reduced_by_error[error]["""count"""]
    __snake_case:						Tuple			  =						F'''| {count} | {error[:100]} |  |'''
    lines.append(__lowerCAmelCase)

  return "\n".join(__lowerCAmelCase)







def       A__							(   SCREAMING_SNAKE_CASE__)       ->   int:
  __snake_case:						Union[str, Any]			  =						"""| model | no. of errors | major error | count |"""
  __snake_case:						Tuple			  =						"""|-:|-:|-:|-:|"""
  __snake_case:						int			  =						[header, sep]
  for model in reduced_by_model:
    __snake_case:						Optional[Any]			  =						reduced_by_model[model]["""count"""]
    __snake_case  ,       __snake_case:						int			  =						list(reduced_by_model[model]["""errors"""].items())[0]
    __snake_case:						str			  =						F'''| {model} | {count} | {error[:60]} | {_count} |'''
    lines.append(__lowerCAmelCase)

  return "\n".join(__lowerCAmelCase)


if __name__ == "__main__":
     __UpperCAmelCase	:       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.")
     __UpperCAmelCase	:       Optional[int]    	=							parser.parse_args()

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

     __UpperCAmelCase	:       Union[str, Any]    	=							get_job_links(args.workflow_run_id, token=args.token)
     __UpperCAmelCase	:       Optional[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:
                    __UpperCAmelCase	:       int    	=							k.find(" / ")
                    __UpperCAmelCase	:       Tuple    	=							k[index + len(" / ") :]
               __UpperCAmelCase	:       Dict    	=							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)

     __UpperCAmelCase	:       List[Any]    	=							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)

     __UpperCAmelCase	:       List[Any]    	=							get_all_errors(args.output_dir, job_links=job_links)

     # `e[1]` is the error
     __UpperCAmelCase	:       Union[str, Any]    	=							Counter()
     counter.update([e[1] for e in errors])

     # print the top 30 most common test errors
     __UpperCAmelCase	:       Optional[Any]    	=							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)

     __UpperCAmelCase	:       List[Any]    	=							reduce_by_error(errors)
     __UpperCAmelCase	:       str    	=							reduce_by_model(errors)

     __UpperCAmelCase	:       List[Any]    	=							make_github_table(reduced_by_error)
     __UpperCAmelCase	:       Tuple    	=							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 ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
      if not (is_transformers_available() and is_torch_available()):
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      from ...utils.dummy_torch_and_transformers_objects import (
          ImageTextPipelineOutput,
          UniDiffuserPipeline,
      )
else:
      from .modeling_text_decoder import UniDiffuserTextDecoder
      from .modeling_uvit import UniDiffuserModel, UTransformeraDModel
      from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline






