





'''simple docstring'''




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

import requests






def 	_lowerCAmelCase      (  __snake_case  :			List[Any]			,							__snake_case  :			List[str]=None      )					->					Dict:
     __A						:			Union[str, Any]								=	None
     if token is not None:
          __A						:			Dict								=	{'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

     __A						:			Optional[int]								=	f'https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100'
     __A						:			Tuple								=	requests.get(__snake_case			,							headers=__snake_case      ).json()
     __A						:			int								=	{}

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

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

     __A						:			Dict								=	f'https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'
     __A						:			Dict								=	requests.get(__snake_case			,							headers=__snake_case      ).json()
     __A						:			Union[str, Any]								=	{}

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

          for i in range(__snake_case      ):
               __A						:			List[str]								=	requests.get(url + f'&page={i + 2}'			,							headers=__snake_case      ).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 	_lowerCAmelCase      (  __snake_case  :			Dict			,							__snake_case  :			List[Any]			,							__snake_case  :			Union[str, Any]			,							__snake_case  :			Optional[int]      )					->					str:
     __A						:			Any								=	None
     if token is not None:
          __A						:			List[Any]								=	{'Accept': 'application/vnd.github+json', 'Authorization': f'Bearer {token}'}

     __A						:			Any								=	requests.get(__snake_case			,							headers=__snake_case			,							allow_redirects=__snake_case      )
     __A						:			Optional[Any]								=	result.headers['Location']
     __A						:			str								=	requests.get(__snake_case			,							allow_redirects=__snake_case      )
     __A						:			Union[str, Any]								=	os.path.join(__snake_case			,							f'{artifact_name}.zip'      )
     with open(__snake_case			,							'wb'      ) as fp:
          fp.write(response.content      )






def 	_lowerCAmelCase      (  __snake_case  :			Union[str, Any]			,							__snake_case  :			str=None      )					->					Any:
     __A						:			Any								=	[]
     __A						:			Tuple								=	[]
     __A						:			Dict								=	None

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

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

     __A						:			Union[str, Any]								=	None
     if job_name and job_links:
          __A						:			int								=	job_links.get(__snake_case			,							__snake_case      )

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

     return result






def 	_lowerCAmelCase      (  __snake_case  :			Union[str, Any]			,							__snake_case  :			Any=None      )					->					Dict:
     __A						:			Any								=	[]

     __A						:			Union[str, Any]								=	[os.path.join(__snake_case			,							__snake_case      ) for p in os.listdir(__snake_case      ) if p.endswith('.zip'      )]
     for p in paths:
          errors.extend(get_errors_from_single_artifact(__snake_case			,							job_links=__snake_case      )      )

     return errors






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

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






def 	_lowerCAmelCase      (  __snake_case  :			Any      )					->					Dict:
     __A						:			Optional[Any]								=	test.split('::'      )[0]
     if test.startswith('tests/models/'      ):
          __A						:			List[str]								=	test.split('/'      )[2]
     else:
          __A						:			List[Any]								=	None

     return test






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

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

     __A						:			Dict								=	dict(sorted(r.items()			,							key=lambda __snake_case      : item[1]["count"]			,							reverse=__snake_case      )      )
     return r






def 	_lowerCAmelCase      (  __snake_case  :			Any      )					->					Dict:
     __A						:			str								=	'| no. | error | status |'
     __A						:			Dict								=	'|-:|:-|:-|'
     __A						:			Dict								=	[header, sep]
     for error in reduced_by_error:
          __A						:			int								=	reduced_by_error[error]['count']
          __A						:			Any								=	f'| {count} | {error[:1_00]} |  |'
          lines.append(__snake_case      )

     return "\n".join(__snake_case      )






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

     return "\n".join(__snake_case      )


if __name__ == "__main__":
  lowercase__   :				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.''')
  lowercase__   :				List[str]      =   parser.parse_args()

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

  lowercase__   :				str      =   get_job_links(args.workflow_run_id, token=args.token)
  lowercase__   :				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:
        lowercase__   :				List[str]      =   k.find(''' / ''')
        lowercase__   :				Optional[Any]      =   k[index + len(''' / ''') :]
      lowercase__   :				List[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)

  lowercase__   :				Optional[int]      =   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)

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

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

  # print the top 30 most common test errors
  lowercase__   :				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)

  lowercase__   :				List[Any]      =   reduce_by_error(errors)
  lowercase__   :				Union[str, Any]      =   reduce_by_model(errors)

  lowercase__   :				Dict      =   make_github_table(reduced_by_error)
  lowercase__   :				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)






'''simple docstring'''




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 ShapEPipeline
else:
  from .camera import create_pan_cameras
  from .pipeline_shap_e import ShapEPipeline
  from .pipeline_shap_e_img2img import ShapEImgaImgPipeline
  from .renderer import (
      BoundingBoxVolume,
      ImportanceRaySampler,
      MLPNeRFModelOutput,
      MLPNeRSTFModel,
      ShapEParamsProjModel,
      ShapERenderer,
      StratifiedRaySampler,
      VoidNeRFModel,
  )