


'''simple docstring'''







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

import requests


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	List[str]    ,_UpperCAmelCase	:	List[Any]=None  )  ->			List[str]:
       _a    : Optional[Any]     					=None
       if token is not None:
              _a    : Tuple     					={"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

       _a    : List[Any]     					=F"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
       _a    : List[Any]     					=requests.get(_UpperCAmelCase    ,headers=_UpperCAmelCase  ).json()
       _a    : Optional[Any]     					={}

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

              for i in range(_UpperCAmelCase  ):
                     _a    : Optional[int]     					=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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Any    ,_UpperCAmelCase	:	Tuple=None  )  ->			List[Any]:
       _a    : Dict     					=None
       if token is not None:
              _a    : Any     					={"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

       _a    : Optional[Any]     					=F"https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"
       _a    : Tuple     					=requests.get(_UpperCAmelCase    ,headers=_UpperCAmelCase  ).json()
       _a    : List[str]     					={}

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

              for i in range(_UpperCAmelCase  ):
                     _a    : Union[str, Any]     					=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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Any    ,_UpperCAmelCase	:	Union[str, Any]    ,_UpperCAmelCase	:	Optional[Any]    ,_UpperCAmelCase	:	Union[str, Any]  )  ->			Any:
       _a    : Tuple     					=None
       if token is not None:
              _a    : List[Any]     					={"""Accept""": """application/vnd.github+json""", """Authorization""": F"Bearer {token}"}

       _a    : str     					=requests.get(_UpperCAmelCase    ,headers=_UpperCAmelCase    ,allow_redirects=_UpperCAmelCase  )
       _a    : Dict     					=result.headers["""Location"""]
       _a    : Optional[int]     					=requests.get(_UpperCAmelCase    ,allow_redirects=_UpperCAmelCase  )
       _a    : str     					=os.path.join(_UpperCAmelCase    ,F"{artifact_name}.zip"  )
       with open(_UpperCAmelCase    ,"""wb"""  ) as fp:
              fp.write(response.content  )


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Optional[Any]    ,_UpperCAmelCase	:	int=None  )  ->			str:
       _a    : Optional[Any]     					=[]
       _a    : List[Any]     					=[]
       _a    : int     					=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    : Any     					=line.decode("""UTF-8"""  ).strip()
                                                 if filename == "failures_line.txt":
                                                        try:
                                                               # `error_line` is the place where `error` occurs
                                                               _a    : Union[str, Any]     					=line[: line.index(""": """  )]
                                                               _a    : str     					=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    : List[Any]     					=line[len("""FAILED """  ) :]
                                                        failed_tests.append(_UpperCAmelCase  )
                                                 elif filename == "job_name.txt":
                                                        _a    : List[Any]     					=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    : int     					=None
       if job_name and job_links:
              _a    : int     					=job_links.get(_UpperCAmelCase    ,_UpperCAmelCase  )

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

       return result


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Dict    ,_UpperCAmelCase	:	Optional[Any]=None  )  ->			Dict:
       _a    : List[Any]     					=[]

       _a    : Union[str, Any]     					=[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 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	str    ,_UpperCAmelCase	:	Optional[Any]=None  )  ->			Tuple:
       _a    : Tuple     					=Counter()
       counter.update([x[1] for x in logs]  )
       _a    : int     					=counter.most_common()
       _a    : List[str]     					={}
       for error, count in counts:
              if error_filter is None or error not in error_filter:
                     _a    : List[Any]     					={"""count""": count, """failed_tests""": [(x[2], x[0]) for x in logs if x[1] == error]}

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


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Union[str, Any]  )  ->			int:
       _a    : Any     					=test.split("""::"""  )[0]
       if test.startswith("""tests/models/"""  ):
              _a    : Optional[int]     					=test.split("""/"""  )[2]
       else:
              _a    : Any     					=None

       return test


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	int    ,_UpperCAmelCase	:	List[Any]=None  )  ->			List[Any]:
       _a    : int     					=[(x[0], x[1], get_model(x[2]  )) for x in logs]
       _a    : List[Any]     					=[x for x in logs if x[2] is not None]
       _a    : List[str]     					={x[2] for x in logs}

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

       _a    : str     					=dict(sorted(r.items()    ,key=lambda _UpperCAmelCase  : item[1]["count"]    ,reverse=_UpperCAmelCase  )  )
       return r


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Optional[int]  )  ->			List[str]:
       _a    : Optional[int]     					="""| no. | error | status |"""
       _a    : Tuple     					="""|-:|:-|:-|"""
       _a    : Dict     					=[header, sep]
       for error in reduced_by_error:
              _a    : Optional[int]     					=reduced_by_error[error]["""count"""]
              _a    : str     					=F"| {count} | {error[:100]} |  |"
              lines.append(_UpperCAmelCase  )

       return "\n".join(_UpperCAmelCase  )


def 	SCREAMING_SNAKE_CASE_					(  _UpperCAmelCase	:	Optional[Any]  )  ->			Dict:
       _a    : Dict     					="""| model | no. of errors | major error | count |"""
       _a    : int     					="""|-:|-:|-:|-:|"""
       _a    : Tuple     					=[header, sep]
       for model in reduced_by_model:
              _a    : int     					=reduced_by_model[model]["""count"""]
              _a					,    _a    : int     					=list(reduced_by_model[model]["""errors"""].items()  )[0]
              _a    : Any     					=F"| {model} | {count} | {error[:60]} | {_count} |"
              lines.append(_UpperCAmelCase  )

       return "\n".join(_UpperCAmelCase  )


if __name__ == "__main__":
   A__:    Optional[Any]					    =       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.''')
   A__:    List[Any]					    =       parser.parse_args()

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

   A__:    Any					    =       get_job_links(args.workflow_run_id, token=args.token)
   A__:    List[str]					    =       {}
   # 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:
            A__:    Optional[int]					    =       k.find(''' / ''')
            A__:    Tuple					    =       k[index + len(''' / ''') :]
         A__:    Union[str, 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)

   A__:    Dict					    =       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)

   A__:    Optional[int]					    =       get_all_errors(args.output_dir, job_links=job_links)

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

   # print the top 30 most common test errors
   A__:    Tuple					    =       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)

   A__:    List[str]					    =       reduce_by_error(errors)
   A__:    Tuple					    =       reduce_by_model(errors)

   A__:    Optional[Any]					    =       make_github_table(reduced_by_error)
   A__:    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)






'''simple docstring'''







# NOTE: This file is deprecated and will be removed in a future version.
# It only exists so that temporarely `from diffusers.pipelines import DiffusionPipeline` works
from ...utils import deprecate
from ..controlnet.multicontrolnet import MultiControlNetModel  # noqa: F401
from ..controlnet.pipeline_controlnet import StableDiffusionControlNetPipeline  # noqa: F401


deprecate(
    '''stable diffusion controlnet''',
    '''0.22.0''',
    '''Importing `StableDiffusionControlNetPipeline` or `MultiControlNetModel` from diffusers.pipelines.stable_diffusion.pipeline_stable_diffusion_controlnet is deprecated. Please import `from diffusers import StableDiffusionControlNetPipeline` instead.''',
    standard_warn=False,
    stacklevel=3,
)


