



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

import requests

def 			A_      (	__a     :				Tuple ,		__a     :				Tuple=None		):

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

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

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

        for i in range(_lowercase		):
            a__				      =		requests.get(url + F'''&page={i + 2}''' ,		headers=_lowercase		).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 			A_      (	__a     :				Union[str, Any] ,		__a     :				Dict=None		):

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

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

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

        for i in range(_lowercase		):
            a__				      =		requests.get(url + F'''&page={i + 2}''' ,		headers=_lowercase		).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 			A_      (	__a     :				int ,		__a     :				Tuple ,		__a     :				List[str] ,		__a     :				List[Any]		):

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

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

def 			A_      (	__a     :				Optional[Any] ,		__a     :				Optional[int]=None		):

    """simple docstring"""
    a__				      =		[]
    a__				      =		[]
    a__				      =		None

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

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

    a__				      =		None
    if job_name and job_links:
        a__				      =		job_links.get(_lowercase ,		_lowercase		)

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

    return result

def 			A_      (	__a     :				int ,		__a     :				Any=None		):

    """simple docstring"""
    a__				      =		[]

    a__				      =		[os.path.join(_lowercase ,		_lowercase		) for p in os.listdir(_lowercase		) if p.endswith(""".zip"""		)]
    for p in paths:
        errors.extend(get_errors_from_single_artifact(_lowercase ,		job_links=_lowercase		)		)

    return errors

def 			A_      (	__a     :				Tuple ,		__a     :				Union[str, Any]=None		):

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

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

def 			A_      (	__a     :				str		):

    """simple docstring"""
    a__				      =		test.split("""::"""		)[0]
    if test.startswith("""tests/models/"""		):
        a__				      =		test.split("""/"""		)[2]
    else:
        a__				      =		None

    return test

def 			A_      (	__a     :				int ,		__a     :				List[Any]=None		):

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

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

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

def 			A_      (	__a     :				Optional[Any]		):

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

    return "\n".join(_lowercase		)

def 			A_      (	__a     :				Dict		):

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

    return "\n".join(_lowercase		)


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 .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *

