



"""simple docstring"""





import os
import zipfile

import pytest

from datasets.utils.extract import (
    BzipaExtractor,
    Extractor,
    GzipExtractor,
    LzaExtractor,
    SevenZipExtractor,
    TarExtractor,
    XzExtractor,
    ZipExtractor,
    ZstdExtractor,
)

from .utils import require_lza, require_pyazr, require_zstandard
@pytest.mark.parametrize(
    """compression_format, is_archive"""					, [
        ("""7z""", True),
        ("""bz2""", False),
        ("""gzip""", False),
        ("""lz4""", False),
        ("""tar""", True),
        ("""xz""", False),
        ("""zip""", True),
        ("""zstd""", False),
    ]					, )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Dict					, __UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			str					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Optional[int]					, ):


      '''simple docstring'''






      snake_case_   : int						=			{
          """7z""": (seven_zip_file, SevenZipExtractor),
          """bz2""": (bza_file, BzipaExtractor),
          """gzip""": (gz_file, GzipExtractor),
          """lz4""": (lza_file, LzaExtractor),
          """tar""": (tar_file, TarExtractor),
          """xz""": (xz_file, XzExtractor),
          """zip""": (zip_file, ZipExtractor),
          """zstd""": (zstd_file, ZstdExtractor),
      }
      snake_case_   : List[Any]						=			input_paths_and_base_extractors[compression_format]
      if input_path is None:
            snake_case_   : Optional[Any]						=			F'for \'{compression_format}\' compression_format, '
            if compression_format == "7z":
                  reason += require_pyazr.kwargs["reason"]
            elif compression_format == "lz4":
                  reason += require_lza.kwargs["reason"]
            elif compression_format == "zstd":
                  reason += require_zstandard.kwargs["reason"]
            pytest.skip(__UpperCamelCase    )
      assert base_extractor.is_extractable(__UpperCamelCase    )
      snake_case_   : Tuple						=			tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
      base_extractor.extract(__UpperCamelCase					, __UpperCamelCase    )
      if is_archive:
            assert output_path.is_dir()
            for file_path in output_path.iterdir():
                  assert file_path.name == text_file.name
                  snake_case_   : Optional[Any]						=			file_path.read_text(encoding="""utf-8"""    )
      else:
            snake_case_   : Dict						=			output_path.read_text(encoding="""utf-8"""    )
      snake_case_   : Any						=			text_file.read_text(encoding="""utf-8"""    )
      assert extracted_file_content == expected_file_content
@pytest.mark.parametrize(
    """compression_format, is_archive"""					, [
        ("""7z""", True),
        ("""bz2""", False),
        ("""gzip""", False),
        ("""lz4""", False),
        ("""tar""", True),
        ("""xz""", False),
        ("""zip""", True),
        ("""zstd""", False),
    ]					, )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			int					, __UpperCamelCase      :			List[Any]					, __UpperCamelCase      :			Dict					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			str					, __UpperCamelCase      :			Tuple					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			str					, __UpperCamelCase      :			Any					, __UpperCamelCase      :			Dict					, __UpperCamelCase      :			int					, ):


      '''simple docstring'''






      snake_case_   : int						=			{
          """7z""": seven_zip_file,
          """bz2""": bza_file,
          """gzip""": gz_file,
          """lz4""": lza_file,
          """tar""": tar_file,
          """xz""": xz_file,
          """zip""": zip_file,
          """zstd""": zstd_file,
      }
      snake_case_   : Tuple						=			input_paths[compression_format]
      if input_path is None:
            snake_case_   : str						=			F'for \'{compression_format}\' compression_format, '
            if compression_format == "7z":
                  reason += require_pyazr.kwargs["reason"]
            elif compression_format == "lz4":
                  reason += require_lza.kwargs["reason"]
            elif compression_format == "zstd":
                  reason += require_zstandard.kwargs["reason"]
            pytest.skip(__UpperCamelCase    )
      snake_case_   : str						=			Extractor.infer_extractor_format(__UpperCamelCase    )
      assert extractor_format is not None
      snake_case_   : List[Any]						=			tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
      Extractor.extract(__UpperCamelCase					, __UpperCamelCase					, __UpperCamelCase    )
      if is_archive:
            assert output_path.is_dir()
            for file_path in output_path.iterdir():
                  assert file_path.name == text_file.name
                  snake_case_   : Optional[int]						=			file_path.read_text(encoding="""utf-8"""    )
      else:
            snake_case_   : str						=			output_path.read_text(encoding="""utf-8"""    )
      snake_case_   : Union[str, Any]						=			text_file.read_text(encoding="""utf-8"""    )
      assert extracted_file_content == expected_file_content
@pytest.fixture
def 	__lowerCAmelCase						(		__UpperCamelCase      :			List[str]					, __UpperCamelCase      :			Dict    ):


      '''simple docstring'''






      import tarfile

      snake_case_   : Any						=			tmp_path / """data_dot_dot"""
      directory.mkdir()
      snake_case_   : Dict						=			directory / """tar_file_with_dot_dot.tar"""
      with tarfile.TarFile(__UpperCamelCase					, """w"""    ) as f:
            f.add(__UpperCamelCase					, arcname=os.path.join(""".."""					, text_file.name    )    )
      return path
@pytest.fixture
def 	__lowerCAmelCase						(		__UpperCamelCase      :			str    ):


      '''simple docstring'''






      import tarfile

      snake_case_   : List[str]						=			tmp_path / """data_sym_link"""
      directory.mkdir()
      snake_case_   : Optional[Any]						=			directory / """tar_file_with_sym_link.tar"""
      os.symlink(""".."""					, directory / """subdir"""					, target_is_directory=__UpperCamelCase    )
      with tarfile.TarFile(__UpperCamelCase					, """w"""    ) as f:
            f.add(str(directory / """subdir"""    )					, arcname="""subdir"""    )  # str required by os.readlink on Windows and Python < 3.8
      return path
@pytest.mark.parametrize(
    """insecure_tar_file, error_log"""					, [("""tar_file_with_dot_dot""", """illegal path"""), ("""tar_file_with_sym_link""", """Symlink""")]					, )
def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			Dict					, __UpperCamelCase      :			Optional[Any]					, __UpperCamelCase      :			int					, __UpperCamelCase      :			Union[str, Any]    ):


      '''simple docstring'''






      snake_case_   : Optional[int]						=			{
          """tar_file_with_dot_dot""": tar_file_with_dot_dot,
          """tar_file_with_sym_link""": tar_file_with_sym_link,
      }
      snake_case_   : Dict						=			insecure_tar_files[insecure_tar_file]
      snake_case_   : str						=			tmp_path / """extracted"""
      TarExtractor.extract(__UpperCamelCase					, __UpperCamelCase    )
      assert caplog.text
      for record in caplog.records:
            assert record.levelname == "ERROR"
            assert error_log in record.msg






def 	__lowerCAmelCase						(		__UpperCamelCase      :			Optional[int]    ):


      '''simple docstring'''






      snake_case_   : int						=			tmpdir / """not_a_zip_file"""
      # From: https://github.com/python/cpython/pull/5053
      snake_case_   : Optional[Any]						=			(
          B"""\x89PNG\r\n\x1a\n\x00\x00\x00\rIHDR\x00\x00\x00\x01\x00\x00"""
          B"""\x00\x02\x08\x06\x00\x00\x00\x99\x81\xb6'\x00\x00\x00\x15I"""
          B"""DATx\x01\x01\n\x00\xf5\xff\x00PK\x05\x06\x00PK\x06\x06\x07"""
          B"""\xac\x01N\xc6|a\r\x00\x00\x00\x00IEND\xaeB`\x82"""
      )
      with not_a_zip_file.open("""wb"""    ) as f:
            f.write(__UpperCamelCase    )
      assert zipfile.is_zipfile(str(__UpperCamelCase    )    )  # is a false positive for `zipfile`
      assert not ZipExtractor.is_extractable(__UpperCamelCase    )  # but we're right






"""simple docstring"""





from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__lowerCAmelCase       :					str      					=					logging.get_logger(__name__)

__lowerCAmelCase       :					Tuple      					=					{
    '''shi-labs/nat-mini-in1k-224''': '''https://huggingface.co/shi-labs/nat-mini-in1k-224/resolve/main/config.json''',
    # See all Nat models at https://huggingface.co/models?filter=nat
}



class    _lowerCAmelCase    (				SCREAMING_SNAKE_CASE__  ,				SCREAMING_SNAKE_CASE__		):





		"""simple docstring"""






		_lowerCamelCase			  =       '''nat'''

		_lowerCamelCase			  =       {
		    '''num_attention_heads''': '''num_heads''',
		    '''num_hidden_layers''': '''num_layers''',
		}





		def __init__(					self							,    _lowercase=4							,    _lowercase=3							,    _lowercase=6_4							,    _lowercase=[3, 4, 6, 5]							,    _lowercase=[2, 4, 8, 1_6]							,    _lowercase=7							,    _lowercase=3.0							,    _lowercase=True							,    _lowercase=0.0							,    _lowercase=0.0							,    _lowercase=0.1							,    _lowercase="gelu"							,    _lowercase=0.02							,    _lowercase=1E-5							,    _lowercase=0.0							,    _lowercase=None							,    _lowercase=None							,    **_lowercase							,    ) ->						Optional[Any]:







								'''simple docstring'''

								super().__init__(**_lowercase   )

								snake_case_   : Any						=			patch_size
								snake_case_   : Optional[Any]						=			num_channels
								snake_case_   : Optional[Any]						=			embed_dim
								snake_case_   : Tuple						=			depths
								snake_case_   : int						=			len(_lowercase   )
								snake_case_   : Optional[int]						=			num_heads
								snake_case_   : List[str]						=			kernel_size
								snake_case_   : str						=			mlp_ratio
								snake_case_   : str						=			qkv_bias
								snake_case_   : str						=			hidden_dropout_prob
								snake_case_   : Tuple						=			attention_probs_dropout_prob
								snake_case_   : Tuple						=			drop_path_rate
								snake_case_   : Dict						=			hidden_act
								snake_case_   : Union[str, Any]						=			layer_norm_eps
								snake_case_   : Tuple						=			initializer_range
								# we set the hidden_size attribute in order to make Nat work with VisionEncoderDecoderModel
								# this indicates the channel dimension after the last stage of the model
								snake_case_   : Union[str, Any]						=			int(embed_dim * 2 ** (len(_lowercase   ) - 1)   )
								snake_case_   : Union[str, Any]						=			layer_scale_init_value
								snake_case_   : Optional[Any]						=			["""stem"""] + [f'stage{idx}' for idx in range(1							,    len(_lowercase   ) + 1   )]
								snake_case_			,		snake_case_   : Any						=			get_aligned_output_features_output_indices(
								    out_features=_lowercase							,    out_indices=_lowercase							,    stage_names=self.stage_names   )

