
from ...configuration_utils import PretrainedConfig


lowercase  :					Dict						    =							{
    """google/tapas-base-finetuned-sqa""": (
        """https://huggingface.co/google/tapas-base-finetuned-sqa/resolve/main/config.json"""
    ),
    """google/tapas-base-finetuned-wtq""": (
        """https://huggingface.co/google/tapas-base-finetuned-wtq/resolve/main/config.json"""
    ),
    """google/tapas-base-finetuned-wikisql-supervised""": (
        """https://huggingface.co/google/tapas-base-finetuned-wikisql-supervised/resolve/main/config.json"""
    ),
    """google/tapas-base-finetuned-tabfact""": (
        """https://huggingface.co/google/tapas-base-finetuned-tabfact/resolve/main/config.json"""
    ),
}

class __snake_case		(      lowerCAmelCase     ):
    _a		:						Tuple=				"tapas"
    def __init__(  self		,snake_case=30522		,snake_case=768		,snake_case=12		,snake_case=12		,snake_case=3072		,snake_case="gelu"		,snake_case=0.1		,snake_case=0.1		,snake_case=1024		,snake_case=[3, 256, 256, 2, 256, 256, 10]		,snake_case=0.02		,snake_case=1e-12		,snake_case=0		,snake_case=10.0		,snake_case=0		,snake_case=1.0		,snake_case=None		,snake_case=1.0		,snake_case=False		,snake_case=None		,snake_case=1.0		,snake_case=1.0		,snake_case=False		,snake_case=False		,snake_case="ratio"		,snake_case=None		,snake_case=None		,snake_case=64		,snake_case=32		,snake_case=False		,snake_case=True		,snake_case=False		,snake_case=False		,snake_case=True		,snake_case=False		,snake_case=None		,snake_case=None		,**snake_case		,):



           '''simple docstring'''







           super().__init__(pad_token_id=snake_case		,**snake_case      )

           # BERT hyperparameters (with updated max_position_embeddings and type_vocab_sizes)
           lowercase							:     List[str]       	=      vocab_size
           lowercase							:     Optional[int]       	=      hidden_size
           lowercase							:     Optional[Any]       	=      num_hidden_layers
           lowercase							:     Dict       	=      num_attention_heads
           lowercase							:     Dict       	=      hidden_act
           lowercase							:     Optional[int]       	=      intermediate_size
           lowercase							:     Union[str, Any]       	=      hidden_dropout_prob
           lowercase							:     Optional[int]       	=      attention_probs_dropout_prob
           lowercase							:     Tuple       	=      max_position_embeddings
           lowercase							:     str       	=      type_vocab_sizes
           lowercase							:     Union[str, Any]       	=      initializer_range
           lowercase							:     Union[str, Any]       	=      layer_norm_eps

           # Fine-tuning task hyperparameters
           lowercase							:     Dict       	=      positive_label_weight
           lowercase							:     Dict       	=      num_aggregation_labels
           lowercase							:     Optional[int]       	=      aggregation_loss_weight
           lowercase							:     Any       	=      use_answer_as_supervision
           lowercase							:     int       	=      answer_loss_importance
           lowercase							:     Tuple       	=      use_normalized_answer_loss
           lowercase							:     List[str]       	=      huber_loss_delta
           lowercase							:     Optional[Any]       	=      temperature
           lowercase							:     Dict       	=      aggregation_temperature
           lowercase							:     Union[str, Any]       	=      use_gumbel_for_cells
           lowercase							:     Dict       	=      use_gumbel_for_aggregation
           lowercase							:     Optional[Any]       	=      average_approximation_function
           lowercase							:     Optional[Any]       	=      cell_selection_preference
           lowercase							:     Optional[Any]       	=      answer_loss_cutoff
           lowercase							:     List[Any]       	=      max_num_rows
           lowercase							:     int       	=      max_num_columns
           lowercase							:     List[str]       	=      average_logits_per_cell
           lowercase							:     str       	=      select_one_column
           lowercase							:     List[Any]       	=      allow_empty_column_selection
           lowercase							:     str       	=      init_cell_selection_weights_to_zero
           lowercase							:     str       	=      reset_position_index_per_cell
           lowercase							:     Any       	=      disable_per_token_loss

           # Aggregation hyperparameters
           lowercase							:     List[Any]       	=      aggregation_labels
           lowercase							:     str       	=      no_aggregation_label_index

           if isinstance(self.aggregation_labels		,snake_case      ):
                  lowercase							:     List[str]       	=      {int(snake_case      ): v for k, v in aggregation_labels.items()}


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 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	) ->    Any:
       lowercase							:     Dict       	=      {
           """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),
       }
       lowercase	,			lowercase							:     Optional[Any]       	=      input_paths_and_base_extractors[compression_format]
       if input_path is None:
              lowercase							:     Dict       	=      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(SCREAMING_SNAKE_CASE__				)
       assert base_extractor.is_extractable(SCREAMING_SNAKE_CASE__				)
       lowercase							:     Any       	=      tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
       base_extractor.extract(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
       if is_archive:
              assert output_path.is_dir()
              for file_path in output_path.iterdir():
                     assert file_path.name == text_file.name
                     lowercase							:     str       	=      file_path.read_text(encoding="""utf-8"""				)
       else:
              lowercase							:     Optional[Any]       	=      output_path.read_text(encoding="""utf-8"""				)
       lowercase							:     Tuple       	=      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 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	) ->    Dict:
       lowercase							:     str       	=      {
           """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,
       }
       lowercase							:     Optional[Any]       	=      input_paths[compression_format]
       if input_path is None:
              lowercase							:     int       	=      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(SCREAMING_SNAKE_CASE__				)
       lowercase							:     Union[str, Any]       	=      Extractor.infer_extractor_format(SCREAMING_SNAKE_CASE__				)
       assert extractor_format is not None
       lowercase							:     Any       	=      tmp_path / ("""extracted""" if is_archive else """extracted.txt""")
       Extractor.extract(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
       if is_archive:
              assert output_path.is_dir()
              for file_path in output_path.iterdir():
                     assert file_path.name == text_file.name
                     lowercase							:     Dict       	=      file_path.read_text(encoding="""utf-8"""				)
       else:
              lowercase							:     int       	=      output_path.read_text(encoding="""utf-8"""				)
       lowercase							:     Optional[Any]       	=      text_file.read_text(encoding="""utf-8"""				)
       assert extracted_file_content == expected_file_content







@pytest.fixture
def 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Dict:
       import tarfile

       lowercase							:     Tuple       	=      tmp_path / """data_dot_dot"""
       directory.mkdir()
       lowercase							:     str       	=      directory / """tar_file_with_dot_dot.tar"""
       with tarfile.TarFile(SCREAMING_SNAKE_CASE__					,	"""w"""				) as f:
              f.add(SCREAMING_SNAKE_CASE__					,	arcname=os.path.join(""".."""					,	text_file.name				)				)
       return path







@pytest.fixture
def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    List[str]:
       import tarfile

       lowercase							:     Tuple       	=      tmp_path / """data_sym_link"""
       directory.mkdir()
       lowercase							:     int       	=      directory / """tar_file_with_sym_link.tar"""
       os.symlink(""".."""					,	directory / """subdir"""					,	target_is_directory=SCREAMING_SNAKE_CASE__				)
       with tarfile.TarFile(SCREAMING_SNAKE_CASE__					,	"""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 						_snake_case(  SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				) ->    Optional[Any]:
       lowercase							:     List[Any]       	=      {
           """tar_file_with_dot_dot""": tar_file_with_dot_dot,
           """tar_file_with_sym_link""": tar_file_with_sym_link,
       }
       lowercase							:     Optional[int]       	=      insecure_tar_files[insecure_tar_file]
       lowercase							:     List[str]       	=      tmp_path / """extracted"""
       TarExtractor.extract(SCREAMING_SNAKE_CASE__					,	SCREAMING_SNAKE_CASE__				)
       assert caplog.text
       for record in caplog.records:
              assert record.levelname == "ERROR"
              assert error_log in record.msg







def 						_snake_case(  SCREAMING_SNAKE_CASE__				) ->    Optional[int]:
       # We should have less false positives than zipfile.is_zipfile
       # We do that by checking only the magic number
       lowercase							:     Any       	=      tmpdir / """not_a_zip_file"""
       # From: https://github.com/python/cpython/pull/5053
       lowercase							:     str       	=      (
           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(SCREAMING_SNAKE_CASE__				)
       assert zipfile.is_zipfile(str(SCREAMING_SNAKE_CASE__				)				)  # is a false positive for `zipfile`
       assert not ZipExtractor.is_extractable(SCREAMING_SNAKE_CASE__				)  # but we're right
