import argparse
import json
import os
import time
import zipfile

from get_ci_error_statistics import download_artifact, get_artifacts_links

from transformers import logging


lowerCAmelCase__     						=			logging.get_logger(__name__)






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ):
       lowerCAmelCase__					     = set()
       lowerCAmelCase__					     = []

       def parse_line(lowerCAmelCase__     ):
              for line in fp:
                     if isinstance(UpperCamelCase__     ,  UpperCamelCase__     ):
                            lowerCAmelCase__					     = line.decode('UTF-8'     )
                     if "warnings summary (final)" in line:
                            continue
                     # This means we are outside the body of a warning
                     elif not line.startswith(' '     ):
                            # process a single warning and move it to `selected_warnings`.
                            if len(UpperCamelCase__     ) > 0:
                                   lowerCAmelCase__					     = '\n'.join(UpperCamelCase__     )
                                   # Only keep the warnings specified in `targets`
                                   if any(F""": {x}: """ in warning for x in targets     ):
                                          selected_warnings.add(UpperCamelCase__     )
                                   buffer.clear()
                            continue
                     else:
                            lowerCAmelCase__					     = line.strip()
                            buffer.append(UpperCamelCase__     )

       if from_gh:
              for filename in os.listdir(UpperCamelCase__     ):
                     lowerCAmelCase__					     = os.path.join(UpperCamelCase__     ,  UpperCamelCase__     )
                     if not os.path.isdir(UpperCamelCase__     ):
                            # read the file
                            if filename != "warnings.txt":
                                   continue
                            with open(UpperCamelCase__     ) as fp:
                                   parse_line(UpperCamelCase__     )
       else:
              try:
                     with zipfile.ZipFile(UpperCamelCase__     ) as z:
                            for filename in z.namelist():
                                   if not os.path.isdir(UpperCamelCase__     ):
                                          # read the file
                                          if filename != "warnings.txt":
                                                 continue
                                          with z.open(UpperCamelCase__     ) as fp:
                                                 parse_line(UpperCamelCase__     )
              except Exception:
                     logger.warning(
                         F"""{artifact_path} is either an invalid zip file or something else wrong. This file is skipped."""     )

       return selected_warnings






def 				__lowerCamelCase		(						lowerCAmelCase__     ,  lowerCAmelCase__     ):
       lowerCAmelCase__					     = set()

       lowerCAmelCase__					     = [os.path.join(UpperCamelCase__     ,  UpperCamelCase__     ) for p in os.listdir(UpperCamelCase__     ) if (p.endswith('.zip'     ) or from_gh)]
       for p in paths:
              selected_warnings.update(extract_warnings_from_single_artifact(UpperCamelCase__     ,  UpperCamelCase__     )     )

       return selected_warnings


if __name__ == "__main__":






    def 				__lowerCamelCase		(						lowerCAmelCase__     ):
           return values.split(','     )

    lowerCAmelCase__     						=			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.')
    # optional parameters
    parser.add_argument(
        '--targets',
        default='DeprecationWarning,UserWarning,FutureWarning',
        type=list_str,
        help='Comma-separated list of target warning(s) which we want to extract.',
    )
    parser.add_argument(
        '--from_gh',
        action='store_true',
        help='If running from a GitHub action workflow and collecting warnings from its artifacts.',
    )

    lowerCAmelCase__     						=			parser.parse_args()

    lowerCAmelCase__     						=			args.from_gh
    if from_gh:
        # The artifacts have to be downloaded using `actions/download-artifact@v3`
        pass
    else:
        os.makedirs(args.output_dir, exist_ok=True)

        # get download links
        lowerCAmelCase__     						=			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)

        # download artifacts
        for idx, (name, url) in enumerate(artifacts.items()):
            print(name)
            print(url)
            print('=' * 80)
            download_artifact(name, url, args.output_dir, args.token)
            # Be gentle to GitHub
            time.sleep(1)

    # extract warnings from artifacts
    lowerCAmelCase__     						=			extract_warnings(args.output_dir, args.targets)
    lowerCAmelCase__     						=			sorted(selected_warnings)
    with open(os.path.join(args.output_dir, 'selected_warnings.json'), 'w', encoding='UTF-8') as fp:
        json.dump(selected_warnings, fp, ensure_ascii=False, indent=4)

from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_tf_available, is_torch_available


lowerCAmelCase__     						=			{
    'configuration_transfo_xl': ['TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TransfoXLConfig'],
    'tokenization_transfo_xl': ['TransfoXLCorpus', 'TransfoXLTokenizer'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST',
        'AdaptiveEmbedding',
        'TransfoXLForSequenceClassification',
        'TransfoXLLMHeadModel',
        'TransfoXLModel',
        'TransfoXLPreTrainedModel',
        'load_tf_weights_in_transfo_xl',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    lowerCAmelCase__     						=			[
        'TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST',
        'TFAdaptiveEmbedding',
        'TFTransfoXLForSequenceClassification',
        'TFTransfoXLLMHeadModel',
        'TFTransfoXLMainLayer',
        'TFTransfoXLModel',
        'TFTransfoXLPreTrainedModel',
    ]


if TYPE_CHECKING:
    from .configuration_transfo_xl import TRANSFO_XL_PRETRAINED_CONFIG_ARCHIVE_MAP, TransfoXLConfig
    from .tokenization_transfo_xl import TransfoXLCorpus, TransfoXLTokenizer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_transfo_xl import (
            TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            AdaptiveEmbedding,
            TransfoXLForSequenceClassification,
            TransfoXLLMHeadModel,
            TransfoXLModel,
            TransfoXLPreTrainedModel,
            load_tf_weights_in_transfo_xl,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .modeling_tf_transfo_xl import (
            TF_TRANSFO_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
            TFAdaptiveEmbedding,
            TFTransfoXLForSequenceClassification,
            TFTransfoXLLMHeadModel,
            TFTransfoXLMainLayer,
            TFTransfoXLModel,
            TFTransfoXLPreTrainedModel,
        )

else:
    import sys

    lowerCAmelCase__     						=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
