





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

import requests




def 		lowerCAmelCase_    (  __UpperCAmelCase:			Any		,   __UpperCAmelCase:			Optional[Any]=None      )      ->	List[Any]:
    UpperCamelCase__							:				Union[str, Any]          =      None
    if token is not None:
        UpperCamelCase__							:				Union[str, Any]          =      {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"Bearer {token}"}

    UpperCamelCase__							:				Optional[Any]          =      f"https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"
    UpperCamelCase__							:				Optional[int]          =      requests.get(__UpperCAmelCase		,   headers=__UpperCAmelCase      ).json()
    UpperCamelCase__							:				Dict          =      {}

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

        for i in range(__UpperCAmelCase      ):
            UpperCamelCase__							:				List[Any]          =      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 		lowerCAmelCase_    (  __UpperCAmelCase:			int		,   __UpperCAmelCase:			List[str]=None      )      ->	Optional[int]:
    UpperCamelCase__							:				Dict          =      None
    if token is not None:
        UpperCamelCase__							:				Optional[Any]          =      {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"Bearer {token}"}

    UpperCamelCase__							:				Any          =      f"https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"
    UpperCamelCase__							:				Optional[Any]          =      requests.get(__UpperCAmelCase		,   headers=__UpperCAmelCase      ).json()
    UpperCamelCase__							:				Dict          =      {}

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

        for i in range(__UpperCAmelCase      ):
            UpperCamelCase__							:				List[str]          =      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 		lowerCAmelCase_    (  __UpperCAmelCase:			Optional[Any]		,   __UpperCAmelCase:			Union[str, Any]		,   __UpperCAmelCase:			Dict		,   __UpperCAmelCase:			Union[str, Any]      )      ->	int:
    UpperCamelCase__							:				str          =      None
    if token is not None:
        UpperCamelCase__							:				Dict          =      {'''Accept''': '''application/vnd.github+json''', '''Authorization''': f"Bearer {token}"}

    UpperCamelCase__							:				List[str]          =      requests.get(__UpperCAmelCase		,   headers=__UpperCAmelCase		,   allow_redirects=__UpperCAmelCase      )
    UpperCamelCase__							:				Dict          =      result.headers['''Location''']
    UpperCamelCase__							:				Optional[int]          =      requests.get(__UpperCAmelCase		,   allow_redirects=__UpperCAmelCase      )
    UpperCamelCase__							:				List[Any]          =      os.path.join(__UpperCAmelCase		,   f"{artifact_name}.zip"      )
    with open(__UpperCAmelCase		,   '''wb'''      ) as fp:
        fp.write(response.content      )




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

    UpperCamelCase__							:				List[str]          =      None
    if job_name and job_links:
        UpperCamelCase__							:				Any          =      job_links.get(__UpperCAmelCase		,   __UpperCAmelCase      )

    # A list with elements of the form (line of error, error, failed test)
    UpperCamelCase__							:				Optional[Any]          =      [x + [y] + [job_link] for x, y in zip(__UpperCAmelCase		,   __UpperCAmelCase      )]

    return result




def 		lowerCAmelCase_    (  __UpperCAmelCase:			Optional[Any]		,   __UpperCAmelCase:			Optional[int]=None      )      ->	Optional[Any]:
    UpperCamelCase__							:				Dict          =      []

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

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




def 		lowerCAmelCase_    (  __UpperCAmelCase:			Tuple      )      ->	Tuple:
    UpperCamelCase__							:				List[str]          =      test.split('''::'''      )[0]
    if test.startswith('''tests/models/'''      ):
        UpperCamelCase__							:				List[Any]          =      test.split('''/'''      )[2]
    else:
        UpperCamelCase__							:				List[str]          =      None

    return test




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

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

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




def 		lowerCAmelCase_    (  __UpperCAmelCase:			str      )      ->	List[Any]:
    UpperCamelCase__							:				Tuple          =      '''| no. | error | status |'''
    UpperCamelCase__							:				Optional[Any]          =      '''|-:|:-|:-|'''
    UpperCamelCase__							:				Optional[int]          =      [header, sep]
    for error in reduced_by_error:
        UpperCamelCase__							:				List[str]          =      reduced_by_error[error]['''count''']
        UpperCamelCase__							:				int          =      f"| {count} | {error[:100]} |  |"
        lines.append(__UpperCAmelCase      )

    return "\n".join(__UpperCAmelCase      )




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

    return "\n".join(__UpperCAmelCase      )


if __name__ == "__main__":
  UpperCAmelCase_     							= 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_     							= parser.parse_args()

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

  UpperCAmelCase_     							= get_job_links(args.workflow_run_id, token=args.token)
  UpperCAmelCase_     							= {}
  # 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_     							= k.find(' / ')
        UpperCAmelCase_     							= k[index + len(' / ') :]
      UpperCAmelCase_     							= 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_     							= 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_     							= get_all_errors(args.output_dir, job_links=job_links)

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

  # print the top 30 most common test errors
  UpperCAmelCase_     							= 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_     							= reduce_by_error(errors)
  UpperCAmelCase_     							= reduce_by_model(errors)

  UpperCAmelCase_     							= make_github_table(reduced_by_error)
  UpperCAmelCase_     							= 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 collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


UpperCAmelCase_     							= logging.get_logger(__name__)

UpperCAmelCase_     							= {
    'google/mobilenet_v2_1.4_224': 'https://huggingface.co/google/mobilenet_v2_1.4_224/resolve/main/config.json',
    'google/mobilenet_v2_1.0_224': 'https://huggingface.co/google/mobilenet_v2_1.0_224/resolve/main/config.json',
    'google/mobilenet_v2_0.75_160': 'https://huggingface.co/google/mobilenet_v2_0.75_160/resolve/main/config.json',
    'google/mobilenet_v2_0.35_96': 'https://huggingface.co/google/mobilenet_v2_0.35_96/resolve/main/config.json',
    # See all MobileNetV2 models at https://huggingface.co/models?filter=mobilenet_v2
}






class     lowercase__       (	__lowerCamelCase				):

   '''simple docstring'''


   a						:							List[str]   		=		"mobilenet_v2"




   def __init__(    self,		__magic_name__=3,		__magic_name__=224,		__magic_name__=1.0,		__magic_name__=8,		__magic_name__=8,		__magic_name__=6,		__magic_name__=32,		__magic_name__=True,		__magic_name__=True,		__magic_name__="relu6",		__magic_name__=True,		__magic_name__=0.8,		__magic_name__=0.02,		__magic_name__=0.001,		__magic_name__=255,		**__magic_name__,		) ->      List[Any]:






       """simple docstring"""
       super().__init__(**__magic_name__							)

       if depth_multiplier <= 0:
           raise ValueError('''depth_multiplier must be greater than zero.'''							)

       UpperCamelCase__							:				Union[str, Any]          =      num_channels
       UpperCamelCase__							:				int          =      image_size
       UpperCamelCase__							:				int          =      depth_multiplier
       UpperCamelCase__							:				Tuple          =      depth_divisible_by
       UpperCamelCase__							:				List[str]          =      min_depth
       UpperCamelCase__							:				Optional[int]          =      expand_ratio
       UpperCamelCase__							:				Optional[int]          =      output_stride
       UpperCamelCase__							:				Tuple          =      first_layer_is_expansion
       UpperCamelCase__							:				Union[str, Any]          =      finegrained_output
       UpperCamelCase__							:				str          =      hidden_act
       UpperCamelCase__							:				Optional[Any]          =      tf_padding
       UpperCamelCase__							:				Optional[int]          =      classifier_dropout_prob
       UpperCamelCase__							:				int          =      initializer_range
       UpperCamelCase__							:				Union[str, Any]          =      layer_norm_eps
       UpperCamelCase__							:				Tuple          =      semantic_loss_ignore_index






class     lowercase__       (	__lowerCamelCase				):

   '''simple docstring'''


   a						:							Union[str, Any]   		=		version.parse("1.11"				)




   @property
   def       UpperCamelCase__  (    self							) ->      Mapping[str, Mapping[int, str]]:






       """simple docstring"""
       return OrderedDict([('''pixel_values''', {0: '''batch'''})]							)




   @property
   def       UpperCamelCase__  (    self							) ->      Mapping[str, Mapping[int, str]]:






       """simple docstring"""
       if self.task == "image-classification":
           return OrderedDict([('''logits''', {0: '''batch'''})]							)
       else:
           return OrderedDict([('''last_hidden_state''', {0: '''batch'''}), ('''pooler_output''', {0: '''batch'''})]							)




   @property
   def       UpperCamelCase__  (    self							) ->      float:






       """simple docstring"""
       return 1E-4

