"""simple docstring"""
from binascii import hexlify
from hashlib import shaaaa
from os import urandom

# RFC 3526 - More Modular Exponential (MODP) Diffie-Hellman groups for
# Internet Key Exchange (IKE) https://tools.ietf.org/html/rfc3526

lowercase__					       =	{
    # 1536-bit
    5: {
        'prime': int(
            'FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1'
            + '29024E088A67CC74020BBEA63B139B22514A08798E3404DD'
            + 'EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245'
            + 'E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED'
            + 'EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D'
            + 'C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F'
            + '83655D23DCA3AD961C62F356208552BB9ED529077096966D'
            + '670C354E4ABC9804F1746C08CA237327FFFFFFFFFFFFFFFF',
            base=16,
        ),
        'generator': 2,
    },
    # 2048-bit
    14: {
        'prime': int(
            'FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1'
            + '29024E088A67CC74020BBEA63B139B22514A08798E3404DD'
            + 'EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245'
            + 'E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED'
            + 'EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D'
            + 'C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F'
            + '83655D23DCA3AD961C62F356208552BB9ED529077096966D'
            + '670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B'
            + 'E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9'
            + 'DE2BCBF6955817183995497CEA956AE515D2261898FA0510'
            + '15728E5A8AACAA68FFFFFFFFFFFFFFFF',
            base=16,
        ),
        'generator': 2,
    },
    # 3072-bit
    15: {
        'prime': int(
            'FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1'
            + '29024E088A67CC74020BBEA63B139B22514A08798E3404DD'
            + 'EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245'
            + 'E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED'
            + 'EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D'
            + 'C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F'
            + '83655D23DCA3AD961C62F356208552BB9ED529077096966D'
            + '670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B'
            + 'E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9'
            + 'DE2BCBF6955817183995497CEA956AE515D2261898FA0510'
            + '15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64'
            + 'ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7'
            + 'ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B'
            + 'F12FFA06D98A0864D87602733EC86A64521F2B18177B200C'
            + 'BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31'
            + '43DB5BFCE0FD108E4B82D120A93AD2CAFFFFFFFFFFFFFFFF',
            base=16,
        ),
        'generator': 2,
    },
    # 4096-bit
    16: {
        'prime': int(
            'FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1'
            + '29024E088A67CC74020BBEA63B139B22514A08798E3404DD'
            + 'EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245'
            + 'E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED'
            + 'EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D'
            + 'C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F'
            + '83655D23DCA3AD961C62F356208552BB9ED529077096966D'
            + '670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B'
            + 'E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9'
            + 'DE2BCBF6955817183995497CEA956AE515D2261898FA0510'
            + '15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64'
            + 'ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7'
            + 'ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B'
            + 'F12FFA06D98A0864D87602733EC86A64521F2B18177B200C'
            + 'BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31'
            + '43DB5BFCE0FD108E4B82D120A92108011A723C12A787E6D7'
            + '88719A10BDBA5B2699C327186AF4E23C1A946834B6150BDA'
            + '2583E9CA2AD44CE8DBBBC2DB04DE8EF92E8EFC141FBECAA6'
            + '287C59474E6BC05D99B2964FA090C3A2233BA186515BE7ED'
            + '1F612970CEE2D7AFB81BDD762170481CD0069127D5B05AA9'
            + '93B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934063199'
            + 'FFFFFFFFFFFFFFFF',
            base=16,
        ),
        'generator': 2,
    },
    # 6144-bit
    17: {
        'prime': int(
            'FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD129024E08'
            + '8A67CC74020BBEA63B139B22514A08798E3404DDEF9519B3CD3A431B'
            + '302B0A6DF25F14374FE1356D6D51C245E485B576625E7EC6F44C42E9'
            + 'A637ED6B0BFF5CB6F406B7EDEE386BFB5A899FA5AE9F24117C4B1FE6'
            + '49286651ECE45B3DC2007CB8A163BF0598DA48361C55D39A69163FA8'
            + 'FD24CF5F83655D23DCA3AD961C62F356208552BB9ED529077096966D'
            + '670C354E4ABC9804F1746C08CA18217C32905E462E36CE3BE39E772C'
            + '180E86039B2783A2EC07A28FB5C55DF06F4C52C9DE2BCBF695581718'
            + '3995497CEA956AE515D2261898FA051015728E5A8AAAC42DAD33170D'
            + '04507A33A85521ABDF1CBA64ECFB850458DBEF0A8AEA71575D060C7D'
            + 'B3970F85A6E1E4C7ABF5AE8CDB0933D71E8C94E04A25619DCEE3D226'
            + '1AD2EE6BF12FFA06D98A0864D87602733EC86A64521F2B18177B200C'
            + 'BBE117577A615D6C770988C0BAD946E208E24FA074E5AB3143DB5BFC'
            + 'E0FD108E4B82D120A92108011A723C12A787E6D788719A10BDBA5B26'
            + '99C327186AF4E23C1A946834B6150BDA2583E9CA2AD44CE8DBBBC2DB'
            + '04DE8EF92E8EFC141FBECAA6287C59474E6BC05D99B2964FA090C3A2'
            + '233BA186515BE7ED1F612970CEE2D7AFB81BDD762170481CD0069127'
            + 'D5B05AA993B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934028492'
            + '36C3FAB4D27C7026C1D4DCB2602646DEC9751E763DBA37BDF8FF9406'
            + 'AD9E530EE5DB382F413001AEB06A53ED9027D831179727B0865A8918'
            + 'DA3EDBEBCF9B14ED44CE6CBACED4BB1BDB7F1447E6CC254B33205151'
            + '2BD7AF426FB8F401378CD2BF5983CA01C64B92ECF032EA15D1721D03'
            + 'F482D7CE6E74FEF6D55E702F46980C82B5A84031900B1C9E59E7C97F'
            + 'BEC7E8F323A97A7E36CC88BE0F1D45B7FF585AC54BD407B22B4154AA'
            + 'CC8F6D7EBF48E1D814CC5ED20F8037E0A79715EEF29BE32806A1D58B'
            + 'B7C5DA76F550AA3D8A1FBFF0EB19CCB1A313D55CDA56C9EC2EF29632'
            + '387FE8D76E3C0468043E8F663F4860EE12BF2D5B0B7474D6E694F91E'
            + '6DCC4024FFFFFFFFFFFFFFFF',
            base=16,
        ),
        'generator': 2,
    },
    # 8192-bit
    18: {
        'prime': int(
            'FFFFFFFFFFFFFFFFC90FDAA22168C234C4C6628B80DC1CD1'
            + '29024E088A67CC74020BBEA63B139B22514A08798E3404DD'
            + 'EF9519B3CD3A431B302B0A6DF25F14374FE1356D6D51C245'
            + 'E485B576625E7EC6F44C42E9A637ED6B0BFF5CB6F406B7ED'
            + 'EE386BFB5A899FA5AE9F24117C4B1FE649286651ECE45B3D'
            + 'C2007CB8A163BF0598DA48361C55D39A69163FA8FD24CF5F'
            + '83655D23DCA3AD961C62F356208552BB9ED529077096966D'
            + '670C354E4ABC9804F1746C08CA18217C32905E462E36CE3B'
            + 'E39E772C180E86039B2783A2EC07A28FB5C55DF06F4C52C9'
            + 'DE2BCBF6955817183995497CEA956AE515D2261898FA0510'
            + '15728E5A8AAAC42DAD33170D04507A33A85521ABDF1CBA64'
            + 'ECFB850458DBEF0A8AEA71575D060C7DB3970F85A6E1E4C7'
            + 'ABF5AE8CDB0933D71E8C94E04A25619DCEE3D2261AD2EE6B'
            + 'F12FFA06D98A0864D87602733EC86A64521F2B18177B200C'
            + 'BBE117577A615D6C770988C0BAD946E208E24FA074E5AB31'
            + '43DB5BFCE0FD108E4B82D120A92108011A723C12A787E6D7'
            + '88719A10BDBA5B2699C327186AF4E23C1A946834B6150BDA'
            + '2583E9CA2AD44CE8DBBBC2DB04DE8EF92E8EFC141FBECAA6'
            + '287C59474E6BC05D99B2964FA090C3A2233BA186515BE7ED'
            + '1F612970CEE2D7AFB81BDD762170481CD0069127D5B05AA9'
            + '93B4EA988D8FDDC186FFB7DC90A6C08F4DF435C934028492'
            + '36C3FAB4D27C7026C1D4DCB2602646DEC9751E763DBA37BD'
            + 'F8FF9406AD9E530EE5DB382F413001AEB06A53ED9027D831'
            + '179727B0865A8918DA3EDBEBCF9B14ED44CE6CBACED4BB1B'
            + 'DB7F1447E6CC254B332051512BD7AF426FB8F401378CD2BF'
            + '5983CA01C64B92ECF032EA15D1721D03F482D7CE6E74FEF6'
            + 'D55E702F46980C82B5A84031900B1C9E59E7C97FBEC7E8F3'
            + '23A97A7E36CC88BE0F1D45B7FF585AC54BD407B22B4154AA'
            + 'CC8F6D7EBF48E1D814CC5ED20F8037E0A79715EEF29BE328'
            + '06A1D58BB7C5DA76F550AA3D8A1FBFF0EB19CCB1A313D55C'
            + 'DA56C9EC2EF29632387FE8D76E3C0468043E8F663F4860EE'
            + '12BF2D5B0B7474D6E694F91E6DBE115974A3926F12FEE5E4'
            + '38777CB6A932DF8CD8BEC4D073B931BA3BC832B68D9DD300'
            + '741FA7BF8AFC47ED2576F6936BA424663AAB639C5AE4F568'
            + '3423B4742BF1C978238F16CBE39D652DE3FDB8BEFC848AD9'
            + '22222E04A4037C0713EB57A81A23F0C73473FC646CEA306B'
            + '4BCBC8862F8385DDFA9D4B7FA2C087E879683303ED5BDD3A'
            + '062B3CF5B3A278A66D2A13F83F44F82DDF310EE074AB6A36'
            + '4597E899A0255DC164F31CC50846851DF9AB48195DED7EA1'
            + 'B1D510BD7EE74D73FAF36BC31ECFA268359046F4EB879F92'
            + '4009438B481C6CD7889A002ED5EE382BC9190DA6FC026E47'
            + '9558E4475677E9AA9E3050E2765694DFC81F56E880B96E71'
            + '60C980DD98EDD3DFFFFFFFFFFFFFFFFF',
            base=16,
        ),
        'generator': 2,
    },
}




class    __snake_case       :



      def __init__(						self    ,			lowercase = 14)	->			None:





        '''simple docstring'''





        if group not in primes:
          raise ValueError('Unsupported Group')
        a__:     List[Any]										=	primes[group]['prime']
        a__:     Any										=	primes[group]['generator']

        a__:     str										=	int(hexlify(urandom(32))    ,			base=16)



      def   lowerCamelCase_   (						self)	->			str:





        '''simple docstring'''





        return hex(self.__private_key)[2:]



      def   lowerCamelCase_   (						self)	->			str:





        '''simple docstring'''





        a__:     int										=	pow(self.generator    ,			self.__private_key    ,			self.prime)
        return hex(lowercase)[2:]



      def   lowerCamelCase_   (						self    ,			lowercase)	->			bool:





        '''simple docstring'''





        return (
            2 <= key <= self.prime - 2
            and pow(lowercase    ,			(self.prime - 1) // 2    ,			self.prime) == 1
        )



      def   lowerCamelCase_   (						self    ,			lowercase)	->			str:





        '''simple docstring'''





        a__:     Dict										=	int(lowercase    ,			base=16)
        if not self.is_valid_public_key(lowercase):
          raise ValueError('Invalid public key')
        a__:     int										=	pow(lowercase    ,			self.__private_key    ,			self.prime)
        return shaaaa(str(lowercase).encode()).hexdigest()



      @staticmethod
      def   lowerCamelCase_   (						lowercase    ,			lowercase)	->			bool:





        '''simple docstring'''





        return (
            2 <= remote_public_key_str <= prime - 2
            and pow(lowercase    ,			(prime - 1) // 2    ,			lowercase) == 1
        )



      @staticmethod
      def   lowerCamelCase_   (						lowercase    ,			lowercase    ,			lowercase = 14)	->			str:





        '''simple docstring'''





        a__:     Tuple										=	int(lowercase    ,			base=16)
        a__:     Tuple										=	int(lowercase    ,			base=16)
        a__:     Union[str, Any]										=	primes[group]['prime']
        if not DiffieHellman.is_valid_public_key_static(lowercase    ,			lowercase):
          raise ValueError('Invalid public key')
        a__:     Union[str, Any]										=	pow(lowercase    ,			lowercase    ,			lowercase)
        return shaaaa(str(lowercase).encode()).hexdigest()


if __name__ == "__main__":
 import doctest

 doctest.testmod()



"""simple docstring"""
import argparse
import json
import math
import os
import time
import traceback
import zipfile
from collections import Counter

import requests







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->Optional[int]:
  a__:     int										=	None
  if token is not None:
    a__:     Tuple										=	{'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

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

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

    for i in range(_SCREAMING_SNAKE_CASE   ):
      a__:     Dict										=	requests.get(url + F'&page={i + 2}'		,     headers=_SCREAMING_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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->Dict:
  a__:     Dict										=	None
  if token is not None:
    a__:     List[str]										=	{'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

  a__:     Dict										=	F'https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'
  a__:     Union[str, Any]										=	requests.get(_SCREAMING_SNAKE_CASE		,     headers=_SCREAMING_SNAKE_CASE   ).json()
  a__:     List[Any]										=	{}

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

    for i in range(_SCREAMING_SNAKE_CASE   ):
      a__:     Optional[int]										=	requests.get(url + F'&page={i + 2}'		,     headers=_SCREAMING_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 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )	->str:
  a__:     List[Any]										=	None
  if token is not None:
    a__:     Optional[int]										=	{'Accept': 'application/vnd.github+json', 'Authorization': F'Bearer {token}'}

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







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->List[Any]:
  a__:     List[Any]										=	[]
  a__:     Optional[Any]										=	[]
  a__:     List[Any]										=	None

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

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

  a__:     Tuple										=	None
  if job_name and job_links:
    a__:     Dict										=	job_links.get(_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE   )

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

  return result







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->str:
  a__:     int										=	[]

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

  return errors







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->Any:
  a__:     str										=	Counter()
  counter.update([x[1] for x in logs]   )
  a__:     int										=	counter.most_common()
  a__:     Any										=	{}
  for error, count in counts:
    if error_filter is None or error not in error_filter:
      a__:     List[str]										=	{'count': count, 'failed_tests': [(x[2], x[0]) for x in logs if x[1] == error]}

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







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->Union[str, Any]:
  a__:     List[str]										=	test.split('::'   )[0]
  if test.startswith('tests/models/'   ):
    a__:     Dict										=	test.split('/'   )[2]
  else:
    a__:     Any										=	None

  return test







def 						__a   (	_SCREAMING_SNAKE_CASE		,     _SCREAMING_SNAKE_CASE=None   )	->List[str]:
  a__:     int										=	[(x[0], x[1], get_model(x[2]   )) for x in logs]
  a__:     List[Any]										=	[x for x in logs if x[2] is not None]
  a__:     Optional[Any]										=	{x[2] for x in logs}

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

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







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->Union[str, Any]:
  a__:     Any										=	'| no. | error | status |'
  a__:     Any										=	'|-:|:-|:-|'
  a__:     str										=	[header, sep]
  for error in reduced_by_error:
    a__:     int										=	reduced_by_error[error]['count']
    a__:     Tuple										=	F'| {count} | {error[:100]} |  |'
    lines.append(_SCREAMING_SNAKE_CASE   )

  return "\n".join(_SCREAMING_SNAKE_CASE   )







def 						__a   (	_SCREAMING_SNAKE_CASE   )	->str:
  a__:     List[str]										=	'| model | no. of errors | major error | count |'
  a__:     str										=	'|-:|-:|-:|-:|'
  a__:     int										=	[header, sep]
  for model in reduced_by_model:
    a__:     Tuple										=	reduced_by_model[model]['count']
    a__							,    a__:     Dict										=	list(reduced_by_model[model]['errors'].items()   )[0]
    a__:     Dict										=	F'| {model} | {count} | {error[:60]} | {_count} |'
    lines.append(_SCREAMING_SNAKE_CASE   )

  return "\n".join(_SCREAMING_SNAKE_CASE   )


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

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

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

 lowercase__					       =	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)

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

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

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

 lowercase__					       =	reduce_by_error(errors)
 lowercase__					       =	reduce_by_model(errors)

 lowercase__					       =	make_github_table(reduced_by_error)
 lowercase__					       =	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)


