






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

import requests






def 				lowerCamelCase__      (    __lowerCamelCase			:     Any  ,		__lowerCamelCase			:     str=None		):
  __UpperCAmelCase							:	Optional[int]           =  None
  if token is not None:
    __UpperCAmelCase							:	Any           =  {"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

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

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

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

  __UpperCAmelCase							:	Optional[int]           =  f"""https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100"""
  __UpperCAmelCase							:	str           =  requests.get(__lowerCamelCase  ,		headers=__lowerCamelCase		).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(__lowerCamelCase		):
      __UpperCAmelCase							:	Dict           =  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 				lowerCamelCase__      (    __lowerCamelCase			:     Optional[Any]  ,		__lowerCamelCase			:     List[Any]  ,		__lowerCamelCase			:     List[Any]  ,		__lowerCamelCase			:     int		):
  __UpperCAmelCase							:	Optional[int]           =  None
  if token is not None:
    __UpperCAmelCase							:	str           =  {"""Accept""": """application/vnd.github+json""", """Authorization""": f"""Bearer {token}"""}

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






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

  __UpperCAmelCase							:	Dict           =  None
  if job_name and job_links:
    __UpperCAmelCase							:	str           =  job_links.get(__lowerCamelCase  ,		__lowerCamelCase		)

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

  return result






def 				lowerCamelCase__      (    __lowerCamelCase			:     Any  ,		__lowerCamelCase			:     Tuple=None		):
  __UpperCAmelCase							:	Any           =  []

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

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






def 				lowerCamelCase__      (    __lowerCamelCase			:     Dict		):
  __UpperCAmelCase							:	List[Any]           =  test.split("""::"""		)[0]
  if test.startswith("""tests/models/"""		):
    __UpperCAmelCase							:	Any           =  test.split("""/"""		)[2]
  else:
    __UpperCAmelCase							:	Dict           =  None

  return test






def 				lowerCamelCase__      (    __lowerCamelCase			:     Any  ,		__lowerCamelCase			:     Dict=None		):
  __UpperCAmelCase							:	Union[str, Any]           =  [(x[0], x[1], get_model(x[2]		)) for x in logs]
  __UpperCAmelCase							:	Tuple           =  [x for x in logs if x[2] is not None]
  __UpperCAmelCase							:	int           =  {x[2] for x in logs}

  __UpperCAmelCase							:	Optional[Any]           =  {}
  for test in tests:
    __UpperCAmelCase							:	Dict           =  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							:	Union[str, Any]           =  sum(error_counts.values()		)
    if n_errors > 0:
      __UpperCAmelCase							:	Optional[Any]           =  {"""count""": n_errors, """errors""": error_counts}

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






def 				lowerCamelCase__      (    __lowerCamelCase			:     Optional[Any]		):
  __UpperCAmelCase							:	Dict           =  """| no. | error | status |"""
  __UpperCAmelCase							:	Dict           =  """|-:|:-|:-|"""
  __UpperCAmelCase							:	Tuple           =  [header, sep]
  for error in reduced_by_error:
    __UpperCAmelCase							:	Tuple           =  reduced_by_error[error]["""count"""]
    __UpperCAmelCase							:	Dict           =  f"""| {count} | {error[:100]} |  |"""
    lines.append(__lowerCamelCase		)

  return "\n".join(__lowerCamelCase		)






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

  return "\n".join(__lowerCamelCase		)


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

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

       a		:       Tuple			     = get_job_links(args.workflow_run_id, token=args.token)
       a		:       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		:       Union[str, Any]			     = k.find(" / ")
                            a		:       str			     = k[index + len(" / ") :]
                     a		:       List[str]			     = 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		:       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)

       a		:       str			     = get_all_errors(args.output_dir, job_links=job_links)

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

       # print the top 30 most common test errors
       a		:       int			     = 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		:       Dict			     = reduce_by_error(errors)
       a		:       Optional[int]			     = reduce_by_model(errors)

       a		:       Tuple			     = 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)










import warnings
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


a		:       List[Any]			     = logging.get_logger(__name__)

a		:       List[Any]			     = {
    "nvidia/segformer-b0-finetuned-ade-512-512": (
        "https://huggingface.co/nvidia/segformer-b0-finetuned-ade-512-512/resolve/main/config.json"
    ),
    # See all SegFormer models at https://huggingface.co/models?filter=segformer
}
class     a    ( lowercase__   ):



      """simple docstring"""


      a  : int							       =	'segformer'
      def __init__(      self					:			Dict		,      __lowercase					:			str=3		,      __lowercase					:			Dict=4		,      __lowercase					:			Any=[2, 2, 2, 2]		,      __lowercase					:			Optional[int]=[8, 4, 2, 1]		,      __lowercase					:			List[str]=[32, 64, 160, 256]		,      __lowercase					:			Union[str, Any]=[7, 3, 3, 3]		,      __lowercase					:			Optional[int]=[4, 2, 2, 2]		,      __lowercase					:			Any=[1, 2, 5, 8]		,      __lowercase					:			List[str]=[4, 4, 4, 4]		,      __lowercase					:			Any="gelu"		,      __lowercase					:			Optional[int]=0.0		,      __lowercase					:			Dict=0.0		,      __lowercase					:			Optional[Any]=0.1		,      __lowercase					:			int=0.02		,      __lowercase					:			Optional[int]=0.1		,      __lowercase					:			Optional[Any]=1e-6		,      __lowercase					:			Tuple=256		,      __lowercase					:			List[Any]=255		,      **__lowercase					:			Union[str, Any]		,      )							->      List[Any]:
        super().__init__(**__lowercase					)

        if "reshape_last_stage" in kwargs and kwargs["reshape_last_stage"] is False:
          warnings.warn(
              """Reshape_last_stage is set to False in this config. This argument is deprecated and will soon be"""
              """ removed, as the behaviour will default to that of reshape_last_stage = True."""		,      __lowercase		,      )

        __UpperCAmelCase							:	Tuple           =  num_channels
        __UpperCAmelCase							:	Any           =  num_encoder_blocks
        __UpperCAmelCase							:	List[Any]           =  depths
        __UpperCAmelCase							:	Dict           =  sr_ratios
        __UpperCAmelCase							:	int           =  hidden_sizes
        __UpperCAmelCase							:	Optional[Any]           =  patch_sizes
        __UpperCAmelCase							:	List[Any]           =  strides
        __UpperCAmelCase							:	List[str]           =  mlp_ratios
        __UpperCAmelCase							:	Tuple           =  num_attention_heads
        __UpperCAmelCase							:	List[str]           =  hidden_act
        __UpperCAmelCase							:	Tuple           =  hidden_dropout_prob
        __UpperCAmelCase							:	Dict           =  attention_probs_dropout_prob
        __UpperCAmelCase							:	Any           =  classifier_dropout_prob
        __UpperCAmelCase							:	Optional[int]           =  initializer_range
        __UpperCAmelCase							:	Optional[Any]           =  drop_path_rate
        __UpperCAmelCase							:	int           =  layer_norm_eps
        __UpperCAmelCase							:	Dict           =  decoder_hidden_size
        __UpperCAmelCase							:	Tuple           =  kwargs.get("""reshape_last_stage"""		,      __lowercase					)
        __UpperCAmelCase							:	int           =  semantic_loss_ignore_index


class     a    ( lowercase__   ):



      """simple docstring"""


      a  : Union[str, Any]							       =	version.parse('1.11'   )
      @property
      def 	UpperCAmelCase      (      self					:			Union[str, Any]					)							->      Mapping[str, Mapping[int, str]]:
        return OrderedDict(
            [
                ("""pixel_values""", {0: """batch""", 1: """num_channels""", 2: """height""", 3: """width"""}),
            ]					)
      @property
      def 	UpperCAmelCase      (      self					:			Optional[Any]					)							->      float:
        return 1e-4




      @property
      def 	UpperCAmelCase      (      self					:			str					)							->      int:
        return 12


