
"""simple docstring"""



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 ):
    UpperCAmelCase__	:      int     							=					None
    if token is not None:
        UpperCAmelCase__	:      Dict     							=					{'Accept': 'application/vnd.github+json', 'Authorization': F'''Bearer {token}'''}

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

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

        for i in range(_snake_case ):
            UpperCAmelCase__	:      Dict     							=					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 ):
    UpperCAmelCase__	:      Dict     							=					None
    if token is not None:
        UpperCAmelCase__	:      Optional[int]     							=					{'Accept': 'application/vnd.github+json', 'Authorization': F'''Bearer {token}'''}

    UpperCAmelCase__	:      Tuple     							=					F'''https://api.github.com/repos/huggingface/transformers/actions/runs/{worflow_run_id}/artifacts?per_page=100'''
    UpperCAmelCase__	:      Dict     							=					requests.get(_snake_case    ,headers=_snake_case ).json()
    UpperCAmelCase__	:      Optional[int]     							=					{}

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

        for i in range(_snake_case ):
            UpperCAmelCase__	:      str     							=					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 ):
    UpperCAmelCase__	:      Optional[int]     							=					None
    if token is not None:
        UpperCAmelCase__	:      str     							=					{'Accept': 'application/vnd.github+json', 'Authorization': F'''Bearer {token}'''}

    UpperCAmelCase__	:      Optional[Any]     							=					requests.get(_snake_case    ,headers=_snake_case    ,allow_redirects=_snake_case )
    UpperCAmelCase__	:      str     							=					result.headers['Location']
    UpperCAmelCase__	:      int     							=					requests.get(_snake_case    ,allow_redirects=_snake_case )
    UpperCAmelCase__	:      Tuple     							=					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 ):
    UpperCAmelCase__	:      Dict     							=					[]
    UpperCAmelCase__	:      str     							=					[]
    UpperCAmelCase__	:      List[str]     							=					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:
                            UpperCAmelCase__	:      List[Any]     							=					line.decode('UTF-8' ).strip()
                            if filename == "failures_line.txt":
                                try:
                                    # `error_line` is the place where `error` occurs
                                    UpperCAmelCase__	:      List[Any]     							=					line[: line.index(': ' )]
                                    UpperCAmelCase__	:      str     							=					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__	:      Dict     							=					line[len('FAILED ' ) :]
                                failed_tests.append(_snake_case )
                            elif filename == "job_name.txt":
                                UpperCAmelCase__	:      int     							=					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.' )

    UpperCAmelCase__	:      int     							=					None
    if job_name and job_links:
        UpperCAmelCase__	:      str     							=					job_links.get(_snake_case    ,_snake_case )

    # A list with elements of the form (line of error, error, failed test)
    UpperCAmelCase__	:      List[str]     							=					[x + [y] + [job_link] for x, y in zip(_snake_case    ,_snake_case )]

    return result
def 					lowerCamelCase   (     _snake_case    ,_snake_case=None ):
    UpperCAmelCase__	:      Tuple     							=					[]

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

    UpperCAmelCase__	:      List[str]     							=					dict(sorted(r.items()    ,key=lambda _snake_case : item[1]["count"]    ,reverse=_snake_case ) )
    return r
def 					lowerCamelCase   (     _snake_case ):
    UpperCAmelCase__	:      Optional[int]     							=					test.split('::' )[0]
    if test.startswith('tests/models/' ):
        UpperCAmelCase__	:      List[Any]     							=					test.split('/' )[2]
    else:
        UpperCAmelCase__	:      List[Any]     							=					None

    return test
def 					lowerCamelCase   (     _snake_case    ,_snake_case=None ):
    UpperCAmelCase__	:      str     							=					[(x[0], x[1], get_model(x[2] )) for x in logs]
    UpperCAmelCase__	:      int     							=					[x for x in logs if x[2] is not None]
    UpperCAmelCase__	:      Optional[Any]     							=					{x[2] for x in logs}

    UpperCAmelCase__	:      Optional[Any]     							=					{}
    for test in tests:
        UpperCAmelCase__	:      str     							=					Counter()
        # count by errors in `test`
        counter.update([x[1] for x in logs if x[2] == test] )
        UpperCAmelCase__	:      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__	:      str     							=					sum(error_counts.values() )
        if n_errors > 0:
            UpperCAmelCase__	:      Union[str, Any]     							=					{'count': n_errors, 'errors': error_counts}

    UpperCAmelCase__	:      List[str]     							=					dict(sorted(r.items()    ,key=lambda _snake_case : item[1]["count"]    ,reverse=_snake_case ) )
    return r
def 					lowerCamelCase   (     _snake_case ):
    UpperCAmelCase__	:      Tuple     							=					'| no. | error | status |'
    UpperCAmelCase__	:      int     							=					'|-:|:-|:-|'
    UpperCAmelCase__	:      Optional[Any]     							=					[header, sep]
    for error in reduced_by_error:
        UpperCAmelCase__	:      Optional[Any]     							=					reduced_by_error[error]['count']
        UpperCAmelCase__	:      Union[str, Any]     							=					F'''| {count} | {error[:100]} |  |'''
        lines.append(_snake_case )

    return "\n".join(_snake_case )
def 					lowerCamelCase   (     _snake_case ):
    UpperCAmelCase__	:      List[str]     							=					'| model | no. of errors | major error | count |'
    UpperCAmelCase__	:      Any     							=					'|-:|-:|-:|-:|'
    UpperCAmelCase__	:      Any     							=					[header, sep]
    for model in reduced_by_model:
        UpperCAmelCase__	:      Union[str, Any]     							=					reduced_by_model[model]['count']
        UpperCAmelCase__							,							UpperCAmelCase__	:      Tuple     							=					list(reduced_by_model[model]['errors'].items() )[0]
        UpperCAmelCase__	:      List[str]     							=					F'''| {model} | {count} | {error[:60]} | {_count} |'''
        lines.append(_snake_case )

    return "\n".join(_snake_case )


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)









import copy
from typing import TYPE_CHECKING, Any, Mapping, Optional, OrderedDict

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


if TYPE_CHECKING:
 from ... import PreTrainedTokenizerBase, TensorType

snake_case__   :						List[str]													=   logging.get_logger(__name__)


class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  A_						       = """vision-encoder-decoder"""
  A_						       = True




  def __init__(  self		,		**_UpperCAmelCase			)      ->			Dict:
     super().__init__(**_UpperCAmelCase			)
     if "encoder" not in kwargs or "decoder" not in kwargs:
        raise ValueError(
            f"""A configuraton of type {self.model_type} cannot be instantiated because """
            f"""not both `encoder` and `decoder` sub-configurations are passed, but only {kwargs}"""			)

     UpperCamelCase_						=  kwargs.pop('encoder'			)
     UpperCamelCase_						=  encoder_config.pop('model_type'			)
     UpperCamelCase_						=  kwargs.pop('decoder'			)
     UpperCamelCase_						=  decoder_config.pop('model_type'			)

     UpperCamelCase_						=  AutoConfig.for_model(_UpperCAmelCase		,		**_UpperCAmelCase			)
     UpperCamelCase_						=  AutoConfig.for_model(_UpperCAmelCase		,		**_UpperCAmelCase			)
     UpperCamelCase_						=  True




  @classmethod
  def  _UpperCAmelCase  (  cls		,		_UpperCAmelCase		,		_UpperCAmelCase		,		**_UpperCAmelCase			)      ->			PretrainedConfig:
     logger.info('Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'			)
     UpperCamelCase_						=  True
     UpperCamelCase_						=  True

     return cls(encoder=encoder_config.to_dict()		,		decoder=decoder_config.to_dict()		,		**_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self			)      ->			int:
     UpperCamelCase_						=  copy.deepcopy(self.__dict__			)
     UpperCamelCase_						=  self.encoder.to_dict()
     UpperCamelCase_						=  self.decoder.to_dict()
     UpperCamelCase_						=  self.__class__.model_type
     return output




class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  A_						       = version.parse("""1.11"""     )




  @property
  def  _UpperCAmelCase  (  self			)      ->			Mapping[str, Mapping[int, str]]:
     return OrderedDict(
         [
             ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
         ]			)




  @property
  def  _UpperCAmelCase  (  self			)      ->			float:
     return 1e-4




  @property
  def  _UpperCAmelCase  (  self			)      ->			Mapping[str, Mapping[int, str]]:
     return OrderedDict({'last_hidden_state': {0: 'batch', 1: 'encoder_sequence'}}			)




class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  @property
  def  _UpperCAmelCase  (  self			)      ->			Mapping[str, Mapping[int, str]]:
     UpperCamelCase_						=  OrderedDict()
     UpperCamelCase_						=  {0: 'batch', 1: 'past_decoder_sequence + sequence'}
     UpperCamelCase_						=  {0: 'batch', 1: 'past_decoder_sequence + sequence'}
     UpperCamelCase_						=  {0: 'batch', 1: 'encoder_sequence'}

     return common_inputs




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase = -1		,		_UpperCAmelCase = -1		,		_UpperCAmelCase = False		,		_UpperCAmelCase = None		,		)      ->			Mapping[str, Any]:
     import torch

     UpperCamelCase_						=  OrderedDict()

     UpperCamelCase_						=  super().generate_dummy_inputs(
         _UpperCAmelCase		,		batch_size=_UpperCAmelCase		,		seq_length=_UpperCAmelCase		,		is_pair=_UpperCAmelCase		,		framework=_UpperCAmelCase			)

     UpperCamelCase_		,   UpperCamelCase_						=  dummy_input['input_ids'].shape
     UpperCamelCase_						=  (batch, encoder_sequence, self._config.encoder_hidden_size)
     UpperCamelCase_						=  dummy_input.pop('input_ids'			)
     UpperCamelCase_						=  dummy_input.pop('attention_mask'			)
     UpperCamelCase_						=  torch.zeros(_UpperCAmelCase			)

     return common_inputs




class     _a							(	UpperCAmelCase__     ):






  """simple docstring"""





  @property
  def  _UpperCAmelCase  (  self			)      ->			None:
     pass




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase			)      ->			OnnxConfig:
     return VisionEncoderDecoderEncoderOnnxConfig(_UpperCAmelCase			)




  def  _UpperCAmelCase  (  self		,		_UpperCAmelCase		,		_UpperCAmelCase		,		_UpperCAmelCase = "default"			)      ->			OnnxConfig:
     UpperCamelCase_						=  encoder_config.hidden_size
     return VisionEncoderDecoderDecoderOnnxConfig(_UpperCAmelCase		,		_UpperCAmelCase			)





