
"""simple docstring"""

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

import requests




def      lowercase__    (       lowerCAmelCase					:       Optional[Any]			,					lowerCAmelCase					:       str=None			)			->   Optional[int]:






    """simple docstring"""




    UpperCAmelCase          =       None
    if token is not None:
        UpperCAmelCase          =       {'Accept': 'application/vnd.github+json', 'Authorization': F"Bearer {token}"}

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

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

        for i in range(lowerCAmelCase			):
            UpperCAmelCase          =       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      lowercase__    (       lowerCAmelCase					:       Optional[int]			,					lowerCAmelCase					:       Tuple=None			)			->   Optional[Any]:






    """simple docstring"""




    UpperCAmelCase          =       None
    if token is not None:
        UpperCAmelCase          =       {'Accept': 'application/vnd.github+json', 'Authorization': F"Bearer {token}"}

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

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

        for i in range(lowerCAmelCase			):
            UpperCAmelCase          =       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      lowercase__    (       lowerCAmelCase					:       Optional[int]			,					lowerCAmelCase					:       Tuple			,					lowerCAmelCase					:       Tuple			,					lowerCAmelCase					:       Union[str, Any]			)			->   Union[str, Any]:






    """simple docstring"""




    UpperCAmelCase          =       None
    if token is not None:
        UpperCAmelCase          =       {'Accept': 'application/vnd.github+json', 'Authorization': F"Bearer {token}"}

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




def      lowercase__    (       lowerCAmelCase					:       Dict			,					lowerCAmelCase					:       List[str]=None			)			->   List[str]:






    """simple docstring"""




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

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

    return result




def      lowercase__    (       lowerCAmelCase					:       List[str]			,					lowerCAmelCase					:       Any=None			)			->   Any:






    """simple docstring"""




    UpperCAmelCase          =       []

    UpperCAmelCase          =       [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      lowercase__    (       lowerCAmelCase					:       Tuple			,					lowerCAmelCase					:       Dict=None			)			->   List[Any]:






    """simple docstring"""




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

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




def      lowercase__    (       lowerCAmelCase					:       Optional[int]			)			->   int:






    """simple docstring"""




    UpperCAmelCase          =       test.split('::'			)[0]
    if test.startswith('tests/models/'			):
        UpperCAmelCase          =       test.split('/'			)[2]
    else:
        UpperCAmelCase          =       None

    return test




def      lowercase__    (       lowerCAmelCase					:       List[str]			,					lowerCAmelCase					:       Dict=None			)			->   Any:






    """simple docstring"""




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

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

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




def      lowercase__    (       lowerCAmelCase					:       Optional[Any]			)			->   Dict:






    """simple docstring"""




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

    return "\n".join(lowerCAmelCase			)




def      lowercase__    (       lowerCAmelCase					:       Optional[int]			)			->   List[str]:






    """simple docstring"""




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

    return "\n".join(lowerCAmelCase			)


if __name__ == "__main__":
   SCREAMING_SNAKE_CASE_            =    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.''')
   SCREAMING_SNAKE_CASE_            =    parser.parse_args()

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

   SCREAMING_SNAKE_CASE_            =    get_job_links(args.workflow_run_id, token=args.token)
   SCREAMING_SNAKE_CASE_            =    {}
   # 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:
            SCREAMING_SNAKE_CASE_            =    k.find(''' / ''')
            SCREAMING_SNAKE_CASE_            =    k[index + len(''' / ''') :]
         SCREAMING_SNAKE_CASE_            =    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)

   SCREAMING_SNAKE_CASE_            =    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)

   SCREAMING_SNAKE_CASE_            =    get_all_errors(args.output_dir, job_links=job_links)

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

   # print the top 30 most common test errors
   SCREAMING_SNAKE_CASE_            =    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)

   SCREAMING_SNAKE_CASE_            =    reduce_by_error(errors)
   SCREAMING_SNAKE_CASE_            =    reduce_by_model(errors)

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

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


SCREAMING_SNAKE_CASE_            =    logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_            =    {
    '''kssteven/ibert-roberta-base''': '''https://huggingface.co/kssteven/ibert-roberta-base/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large''': '''https://huggingface.co/kssteven/ibert-roberta-large/resolve/main/config.json''',
    '''kssteven/ibert-roberta-large-mnli''': (
        '''https://huggingface.co/kssteven/ibert-roberta-large-mnli/resolve/main/config.json'''
    ),
}
class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):
      __SCREAMING_SNAKE_CASE :				Tuple				   =						"ibert"




      def __init__(				self ,							lowercase_=3_0_5_2_2 ,							lowercase_=7_6_8 ,							lowercase_=1_2 ,							lowercase_=1_2 ,							lowercase_=3_0_7_2 ,							lowercase_="gelu" ,							lowercase_=0.1 ,							lowercase_=0.1 ,							lowercase_=5_1_2 ,							lowercase_=2 ,							lowercase_=0.0_2 ,							lowercase_=1E-12 ,							lowercase_=1 ,							lowercase_=0 ,							lowercase_=2 ,							lowercase_="absolute" ,							lowercase_=False ,							lowercase_="none" ,							**lowercase_ ,							)    ->       Optional[int]:
          super().__init__(pad_token_id=lowercase_ ,							bos_token_id=lowercase_ ,							eos_token_id=lowercase_ ,							**lowercase_				)

          UpperCAmelCase          =       vocab_size
          UpperCAmelCase          =       hidden_size
          UpperCAmelCase          =       num_hidden_layers
          UpperCAmelCase          =       num_attention_heads
          UpperCAmelCase          =       hidden_act
          UpperCAmelCase          =       intermediate_size
          UpperCAmelCase          =       hidden_dropout_prob
          UpperCAmelCase          =       attention_probs_dropout_prob
          UpperCAmelCase          =       max_position_embeddings
          UpperCAmelCase          =       type_vocab_size
          UpperCAmelCase          =       initializer_range
          UpperCAmelCase          =       layer_norm_eps
          UpperCAmelCase          =       position_embedding_type
          UpperCAmelCase          =       quant_mode
          UpperCAmelCase          =       force_dequant

class   _UpperCAmelCase				(		SCREAMING_SNAKE_CASE_				):




      @property
      def      a_   (				self				)    ->       Mapping[str, Mapping[int, str]]:
          if self.task == "multiple-choice":
              UpperCAmelCase          =       {0: 'batch', 1: 'choice', 2: 'sequence'}
          else:
              UpperCAmelCase          =       {0: 'batch', 1: 'sequence'}
          return OrderedDict(
              [
                  ('input_ids', dynamic_axis),
                  ('attention_mask', dynamic_axis),
              ]				)



