



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


lowercase    : Tuple    	=  logging.get_logger(__name__)


def     SCREAMING_SNAKE_CASE			(      lowerCAmelCase    ,       lowerCAmelCase					):
       _UpperCamelCase              =						set()
       _UpperCamelCase              =						[]

       def parse_line(lowerCAmelCase					):
              for line in fp:
                     if isinstance(lowerCAmelCase    ,       lowerCAmelCase					):
                            _UpperCamelCase              =						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:
                                   _UpperCamelCase              =						'''\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:
                            _UpperCamelCase              =						line.strip()
                            buffer.append(lowerCAmelCase					)

       if from_gh:
              for filename in os.listdir(lowerCAmelCase					):
                     _UpperCamelCase              =						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					):
       _UpperCamelCase              =						set()

       _UpperCamelCase              =						[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(''','''					)

       lowercase    : Union[str, Any]    	=  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.""",
       )

       lowercase    : List[str]    	=  parser.parse_args()

       lowercase    : Union[str, Any]    	=  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
              lowercase    : List[str]    	=  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
       lowercase    : Any    	=  extract_warnings(args.output_dir, args.targets)
       lowercase    : List[str]    	=  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 tempfile import TemporaryDirectory
from unittest import TestCase
from unittest.mock import MagicMock, patch

from transformers import AutoModel, TFAutoModel
from transformers.onnx import FeaturesManager
from transformers.testing_utils import SMALL_MODEL_IDENTIFIER, require_tf, require_torch

@require_torch
@require_tf
class  __A(						__UpperCAmelCase ):

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						SMALL_MODEL_IDENTIFIER
            _UpperCamelCase              =						'''pt'''
            _UpperCamelCase              =						'''tf'''

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						AutoModel.from_pretrained(self.test_model      )
            model_pt.save_pretrained(A      )

     def 	_UpperCamelCase     (      self,       A      ):





            """simple docstring"""

            _UpperCamelCase              =						TFAutoModel.from_pretrained(self.test_model,       from_pt=A      )
            model_tf.save_pretrained(A      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						'''mock_framework'''

            # Framework provided - return whatever the user provides
            _UpperCamelCase              =						FeaturesManager.determine_framework(self.test_model,       A      )
            self.assertEqual(A,       A      )

            # Local checkpoint and framework provided - return provided framework
            # PyTorch checkpoint
            with TemporaryDirectory() as local_pt_ckpt:
                   self._setup_pt_ckpt(A      )
                   _UpperCamelCase              =						FeaturesManager.determine_framework(A,       A      )
                   self.assertEqual(A,       A      )

            # TensorFlow checkpoint
            with TemporaryDirectory() as local_tf_ckpt:
                   self._setup_tf_ckpt(A      )
                   _UpperCamelCase              =						FeaturesManager.determine_framework(A,       A      )
                   self.assertEqual(A,       A      )

     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            with TemporaryDirectory() as local_pt_ckpt:
                   self._setup_pt_ckpt(A      )
                   _UpperCamelCase              =						FeaturesManager.determine_framework(A      )
                   self.assertEqual(A,       self.framework_pt      )

            # TensorFlow checkpoint
            with TemporaryDirectory() as local_tf_ckpt:
                   self._setup_tf_ckpt(A      )
                   _UpperCamelCase              =						FeaturesManager.determine_framework(A      )
                   self.assertEqual(A,       self.framework_tf      )

            # Invalid local checkpoint
            with TemporaryDirectory() as local_invalid_ckpt:
                   with self.assertRaises(A      ):
                          _UpperCamelCase              =						FeaturesManager.determine_framework(A      )



     def 	_UpperCamelCase     (      self      ):





            """simple docstring"""

            _UpperCamelCase              =						MagicMock(return_value=A      )
            with patch('''transformers.onnx.features.is_tf_available''',       A      ):
                   _UpperCamelCase              =						FeaturesManager.determine_framework(self.test_model      )
                   self.assertEqual(A,       self.framework_pt      )

            # PyTorch not in environment -> use TensorFlow
            _UpperCamelCase              =						MagicMock(return_value=A      )
            with patch('''transformers.onnx.features.is_torch_available''',       A      ):
                   _UpperCamelCase              =						FeaturesManager.determine_framework(self.test_model      )
                   self.assertEqual(A,       self.framework_tf      )

            # Both in environment -> use PyTorch
            _UpperCamelCase              =						MagicMock(return_value=A      )
            _UpperCamelCase              =						MagicMock(return_value=A      )
            with patch('''transformers.onnx.features.is_tf_available''',       A      ), patch(
                '''transformers.onnx.features.is_torch_available''',       A      ):
                   _UpperCamelCase              =						FeaturesManager.determine_framework(self.test_model      )
                   self.assertEqual(A,       self.framework_pt      )

            # Both not in environment -> raise error
            _UpperCamelCase              =						MagicMock(return_value=A      )
            _UpperCamelCase              =						MagicMock(return_value=A      )
            with patch('''transformers.onnx.features.is_tf_available''',       A      ), patch(
                '''transformers.onnx.features.is_torch_available''',       A      ):
                   with self.assertRaises(A      ):
                          _UpperCamelCase              =						FeaturesManager.determine_framework(self.test_model      )






