






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

import requests





def       __lowerCAmelCase      (						__snake_case					, __snake_case=None       ):
     __lowerCAmelCase								=					None
     if token is not None:
          __lowerCAmelCase								=					{"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

     __lowerCAmelCase								=					F"""https://api.github.com/repos/huggingface/transformers/actions/runs/{workflow_run_id}/jobs?per_page=100"""
     __lowerCAmelCase								=					requests.get(__snake_case					, headers=__snake_case       ).json()
     __lowerCAmelCase								=					{}

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

          for i in range(__snake_case       ):
               __lowerCAmelCase								=					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					, __snake_case=None       ):
     __lowerCAmelCase								=					None
     if token is not None:
          __lowerCAmelCase								=					{"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

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

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

          for i in range(__snake_case       ):
               __lowerCAmelCase								=					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					, __snake_case					, __snake_case					, __snake_case       ):
     __lowerCAmelCase								=					None
     if token is not None:
          __lowerCAmelCase								=					{"Accept": "application/vnd.github+json", "Authorization": F"""Bearer {token}"""}

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





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

     __lowerCAmelCase								=					None
     if job_name and job_links:
          __lowerCAmelCase								=					job_links.get(__snake_case					, __snake_case       )

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

     return result





def       __lowerCAmelCase      (						__snake_case					, __snake_case=None       ):
     __lowerCAmelCase								=					[]

     __lowerCAmelCase								=					[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					, __snake_case=None       ):
     __lowerCAmelCase								=					Counter()
     counter.update([x[1] for x in logs]       )
     __lowerCAmelCase								=					counter.most_common()
     __lowerCAmelCase								=					{}
     for error, count in counts:
          if error_filter is None or error not in error_filter:
               __lowerCAmelCase								=					{"count": count, "failed_tests": [(x[2], x[0]) for x in logs if x[1] == error]}

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





def       __lowerCAmelCase      (						__snake_case       ):
     __lowerCAmelCase								=					test.split("::"       )[0]
     if test.startswith("tests/models/"       ):
          __lowerCAmelCase								=					test.split("/"       )[2]
     else:
          __lowerCAmelCase								=					None

     return test





def       __lowerCAmelCase      (						__snake_case					, __snake_case=None       ):
     __lowerCAmelCase								=					[(x[0], x[1], get_model(x[2]       )) for x in logs]
     __lowerCAmelCase								=					[x for x in logs if x[2] is not None]
     __lowerCAmelCase								=					{x[2] for x in logs}

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

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





def       __lowerCAmelCase      (						__snake_case       ):
     __lowerCAmelCase								=					"| no. | error | status |"
     __lowerCAmelCase								=					"|-:|:-|:-|"
     __lowerCAmelCase								=					[header, sep]
     for error in reduced_by_error:
          __lowerCAmelCase								=					reduced_by_error[error]["count"]
          __lowerCAmelCase								=					F"""| {count} | {error[:100]} |  |"""
          lines.append(__snake_case       )

     return "\n".join(__snake_case       )





def       __lowerCAmelCase      (						__snake_case       ):
     __lowerCAmelCase								=					"| model | no. of errors | major error | count |"
     __lowerCAmelCase								=					"|-:|-:|-:|-:|"
     __lowerCAmelCase								=					[header, sep]
     for model in reduced_by_model:
          __lowerCAmelCase								=					reduced_by_model[model]["count"]
          __lowerCAmelCase			, __lowerCAmelCase								=					list(reduced_by_model[model]["errors"].items()       )[0]
          __lowerCAmelCase								=					F"""| {model} | {count} | {error[:60]} | {_count} |"""
          lines.append(__snake_case       )

     return "\n".join(__snake_case       )


if __name__ == "__main__":
 lowerCamelCase			:					Dict         =	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.''')
 lowerCamelCase			:					int         =	parser.parse_args()

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

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

 lowerCamelCase			:					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)

 lowerCamelCase			:					Union[str, Any]         =	get_all_errors(args.output_dir, job_links=job_links)

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

 # print the top 30 most common test errors
 lowerCamelCase			:					List[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)

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

 lowerCamelCase			:					int         =	make_github_table(reduced_by_error)
 lowerCamelCase			:					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 ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase			:					Any         =	logging.get_logger(__name__)

lowerCamelCase			:					Dict         =	{
    '''microsoft/markuplm-base''': '''https://huggingface.co/microsoft/markuplm-base/resolve/main/config.json''',
    '''microsoft/markuplm-large''': '''https://huggingface.co/microsoft/markuplm-large/resolve/main/config.json''',
}



class 							_UpperCamelCase			(a_			):
      snake_case_  =							"""markuplm"""


      def __init__(	self					,						__UpperCamelCase=3_0_5_2_2					,						__UpperCamelCase=7_6_8					,						__UpperCamelCase=1_2					,						__UpperCamelCase=1_2					,						__UpperCamelCase=3_0_7_2					,						__UpperCamelCase="gelu"					,						__UpperCamelCase=0.1					,						__UpperCamelCase=0.1					,						__UpperCamelCase=5_1_2					,						__UpperCamelCase=2					,						__UpperCamelCase=0.0_2					,						__UpperCamelCase=1e-12					,						__UpperCamelCase=0					,						__UpperCamelCase=0					,						__UpperCamelCase=2					,						__UpperCamelCase=2_5_6					,						__UpperCamelCase=1_0_2_4					,						__UpperCamelCase=2_1_6					,						__UpperCamelCase=1_0_0_1					,						__UpperCamelCase=3_2					,						__UpperCamelCase=5_0					,						__UpperCamelCase="absolute"					,						__UpperCamelCase=True					,						__UpperCamelCase=None					,						**__UpperCamelCase					,						)->	Dict:
           super().__init__(
               pad_token_id=__UpperCamelCase					,						bos_token_id=__UpperCamelCase					,						eos_token_id=__UpperCamelCase					,						**__UpperCamelCase					,						)
           __lowerCAmelCase								=					vocab_size
           __lowerCAmelCase								=					hidden_size
           __lowerCAmelCase								=					num_hidden_layers
           __lowerCAmelCase								=					num_attention_heads
           __lowerCAmelCase								=					hidden_act
           __lowerCAmelCase								=					intermediate_size
           __lowerCAmelCase								=					hidden_dropout_prob
           __lowerCAmelCase								=					attention_probs_dropout_prob
           __lowerCAmelCase								=					max_position_embeddings
           __lowerCAmelCase								=					type_vocab_size
           __lowerCAmelCase								=					initializer_range
           __lowerCAmelCase								=					layer_norm_eps
           __lowerCAmelCase								=					position_embedding_type
           __lowerCAmelCase								=					use_cache
           __lowerCAmelCase								=					classifier_dropout
           # additional properties
           __lowerCAmelCase								=					max_depth
           __lowerCAmelCase								=					max_xpath_tag_unit_embeddings
           __lowerCAmelCase								=					max_xpath_subs_unit_embeddings
           __lowerCAmelCase								=					tag_pad_id
           __lowerCAmelCase								=					subs_pad_id
           __lowerCAmelCase								=					xpath_unit_hidden_size






