
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


__magic_name__            =  logging.get_logger(__name__)





def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    snake_case__						=				set()
    snake_case__						=				[]

    def parse_line(__lowerCAmelCase							):
        for line in fp:
            if isinstance(__lowerCAmelCase    ,		__lowerCAmelCase							):
                snake_case__						=				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(__lowerCAmelCase							) > 0:
                    snake_case__						=				"\n".join(__lowerCAmelCase							)
                    # Only keep the warnings specified in `targets`
                    if any(F""": {x}: """ in warning for x in targets							):
                        selected_warnings.add(__lowerCAmelCase							)
                    buffer.clear()
                continue
            else:
                snake_case__						=				line.strip()
                buffer.append(__lowerCAmelCase							)

    if from_gh:
        for filename in os.listdir(__lowerCAmelCase							):
            snake_case__						=				os.path.join(__lowerCAmelCase    ,		__lowerCAmelCase							)
            if not os.path.isdir(__lowerCAmelCase							):
                # read the file
                if filename != "warnings.txt":
                    continue
                with open(__lowerCAmelCase							) as fp:
                    parse_line(__lowerCAmelCase							)
    else:
        try:
            with zipfile.ZipFile(__lowerCAmelCase							) as z:
                for filename in z.namelist():
                    if not os.path.isdir(__lowerCAmelCase							):
                        # read the file
                        if filename != "warnings.txt":
                            continue
                        with z.open(__lowerCAmelCase							) as fp:
                            parse_line(__lowerCAmelCase							)
        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 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase    ,		__lowerCAmelCase							):
    snake_case__						=				set()

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

    return selected_warnings


if __name__ == "__main__":





     def 	SCREAMING_SNAKE_CASE__    (      __lowerCAmelCase							):
         return values.split(","							)

     __magic_name__            =  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.''',
     )

     __magic_name__            =  parser.parse_args()

     __magic_name__            =  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
          __magic_name__            =  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
     __magic_name__            =  extract_warnings(args.output_dir, args.targets)
     __magic_name__            =  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_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


__magic_name__            =  {
    '''configuration_clip''': [
        '''CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP''',
        '''CLIPConfig''',
        '''CLIPOnnxConfig''',
        '''CLIPTextConfig''',
        '''CLIPVisionConfig''',
    ],
    '''processing_clip''': ['''CLIPProcessor'''],
    '''tokenization_clip''': ['''CLIPTokenizer'''],
}

try:
     if not is_tokenizers_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__            =  ['''CLIPTokenizerFast''']

try:
     if not is_vision_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__            =  ['''CLIPFeatureExtractor''']
     __magic_name__            =  ['''CLIPImageProcessor''']

try:
     if not is_torch_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__            =  [
         '''CLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''CLIPModel''',
         '''CLIPPreTrainedModel''',
         '''CLIPTextModel''',
         '''CLIPTextModelWithProjection''',
         '''CLIPVisionModel''',
         '''CLIPVisionModelWithProjection''',
     ]

try:
     if not is_tf_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__            =  [
         '''TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST''',
         '''TFCLIPModel''',
         '''TFCLIPPreTrainedModel''',
         '''TFCLIPTextModel''',
         '''TFCLIPVisionModel''',
     ]

try:
     if not is_flax_available():
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     pass
else:
     __magic_name__            =  [
         '''FlaxCLIPModel''',
         '''FlaxCLIPPreTrainedModel''',
         '''FlaxCLIPTextModel''',
         '''FlaxCLIPTextPreTrainedModel''',
         '''FlaxCLIPVisionModel''',
         '''FlaxCLIPVisionPreTrainedModel''',
     ]


if TYPE_CHECKING:
     from .configuration_clip import (
         CLIP_PRETRAINED_CONFIG_ARCHIVE_MAP,
         CLIPConfig,
         CLIPOnnxConfig,
         CLIPTextConfig,
         CLIPVisionConfig,
     )
     from .processing_clip import CLIPProcessor
     from .tokenization_clip import CLIPTokenizer

     try:
          if not is_tokenizers_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .tokenization_clip_fast import CLIPTokenizerFast

     try:
          if not is_vision_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .feature_extraction_clip import CLIPFeatureExtractor
          from .image_processing_clip import CLIPImageProcessor

     try:
          if not is_torch_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_clip import (
              CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
              CLIPModel,
              CLIPPreTrainedModel,
              CLIPTextModel,
              CLIPTextModelWithProjection,
              CLIPVisionModel,
              CLIPVisionModelWithProjection,
          )

     try:
          if not is_tf_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_tf_clip import (
              TF_CLIP_PRETRAINED_MODEL_ARCHIVE_LIST,
              TFCLIPModel,
              TFCLIPPreTrainedModel,
              TFCLIPTextModel,
              TFCLIPVisionModel,
          )

     try:
          if not is_flax_available():
               raise OptionalDependencyNotAvailable()
     except OptionalDependencyNotAvailable:
          pass
     else:
          from .modeling_flax_clip import (
              FlaxCLIPModel,
              FlaxCLIPPreTrainedModel,
              FlaxCLIPTextModel,
              FlaxCLIPTextPreTrainedModel,
              FlaxCLIPVisionModel,
              FlaxCLIPVisionPreTrainedModel,
          )


else:
     import sys

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



