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pyarrow / _dataset_parquet.cpython-39-aarch64-linux-gnu.so
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ùÁ´£@ù$@ùÚ!x!ø¡Bh"øåÿÿáªàªôª®lÿÒàªïjÿàª=lÿÐjÿàªÒéjÿ¬lÿóªlÿàª4lÿ Õ Õ Õ_$Õ0°¢c9p4 à¸À_Öð* ü_1ü¯ÿÿ5À_Öý{¿©ýý{hÀ_Öat leastat mostexactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'%.200s() needs an argument%.200s() takes no keyword arguments%.200s() takes exactly one argument (%zd given) while calling a Python objectNULL result without error in PyObject_Call%.200s() takes no arguments (%zd given)Bad call flags for CyFunctionUnknown exception<cyfunction %U at %p>__pyx_capi__%.200s does not export expected C function %.200sC function %.200s.%.200s has wrong signature (expected %.500s, got %.500s)Interpreter change detected - this module can only be loaded into one interpreter per process.name__loader__loader__file__origin__package__parent__path__submodule_search_locations%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectinvalid vtable found for imported typebuiltinstypeboolcomplexdatetimedatetimetimedeltatzinfopyarrow.libIpcWriteOptionsIpcReadOptionsMessageMemoryPoolDataTypeListTypeLargeListTypeListViewTypeLargeListViewTypeMapTypeFixedSizeListTypeStructTypeDictionaryMemoDictionaryTypeTimestampTypeTime32TypeTime64TypeDurationTypeFixedSizeBinaryTypeDecimal128TypeDecimal256TypeRunEndEncodedTypeBaseExtensionTypeExtensionTypeFixedShapeTensorTypePyExtensionType_MetadataKeyValueMetadataFieldSchemaScalar_PandasConvertibleTensorSparseCSRMatrixSparseCSCMatrixSparseCOOTensorSparseCSFTensorNullArrayBooleanArrayNumericArrayIntegerArrayFloatingPointArrayInt8ArrayUInt8ArrayInt16ArrayUInt16ArrayInt32ArrayUInt32ArrayInt64ArrayUInt64ArrayHalfFloatArrayFloatArrayDoubleArrayFixedSizeBinaryArrayDecimal128ArrayDecimal256ArrayStructArrayBaseListArrayListArrayLargeListArrayListViewArrayLargeListViewArrayMapArrayFixedSizeListArrayUnionArrayStringArrayBinaryArrayStringViewArrayBinaryViewArrayDictionaryArrayExtensionArrayMonthDayNanoIntervalArrayChunkedArray_TabularTableRecordBatchDeviceMemoryManagerBufferResizableBufferNativeFileBufferedInputStreamBufferedOutputStreamCompressedInputStreamCompressedOutputStream_CRecordBatchWriterRecordBatchReaderCacheOptionsCodecStopTokenpyarrow._parquetFileEncryptionPropertiesParquetSchemaFileMetaDataRowGroupMetaDataColumnChunkMetaDataStatisticsFileDecryptionPropertiespyarrow._fsFileInfoFileSelectorFileSystemLocalFileSystemSubTreeFileSystem_MockFileSystemPyFileSystempyarrow._datasetDatasetScannerFragmentPartitioningPartitioningFactoryWrittenFilepyarrow._computeUdfContextFunctionOptions_SortOptionsmultiple bases have vtable conflict: '%.200s' and '%.200s'Missing type objectCannot convert %.200s to %.200sArgument '%.200s' has incorrect type (expected %.200s, got %.200s)__annotations__ must be set to a dict object__qualname__ must be set to a string object__name__ must be set to a string object__defaults__ must be set to a tuple objectchanges to cyfunction.__defaults__ will not currently affect the values used in function calls__kwdefaults__ must be set to a dict objectchanges to cyfunction.__kwdefaults__ will not currently affect the values used in function callsfunction's dictionary may not be deletedsetting function's dictionary to a non-dictjoin() result is too long for a Python stringcannot import name %S__int__ returned non-int (type %.200s).  The ability to return an instance of a strict subclass of int is deprecated, and may be removed in a future version of Python.__%.4s__ returned non-%.4s (type %.200s)keywords must be stringsunbound method %.200S() needs an argumentan integer is requiredvalue too large to convert to int32_tvalue too large to convert to inttoo many values to unpack (expected %zd)need more than %zd value%.1s to unpack'NoneType' object is not iterableUnable to initialize pickling for %.200svalue too large to convert to enum  arrow::TimeUnit::type%s() got multiple values for keyword argument '%U'instance exception may not have a separate valueraise: exception class must be a subclass of BaseExceptioncalling %R should have returned an instance of BaseException, not %Rname '%U' is not defined'%.200s' object has no attribute '%U'base class '%.200s' is not a heap typeextension type '%.200s' has no __dict__ slot, but base type '%.200s' has: either add 'cdef dict __dict__' to the extension type or add '__slots__ = [...]' to the base type__reduce_cython__<stringsource>pyarrow._dataset_parquet.ParquetFileWriteOptions.__reduce_cython__pyarrow._dataset_parquet.ParquetFactoryOptions.__reduce_cython__pyarrow._dataset_parquet.ParquetDatasetFactory.__reduce_cython__string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_stringpyarrow/_dataset_parquet.pyxpyarrow._dataset_parquet.ParquetFileFragment.num_row_groups.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.initpyarrow._dataset_parquet.ParquetFragmentScanOptions.use_buffered_stream.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.use_buffered_stream.__set____del__pyarrow._dataset_parquet.ParquetFragmentScanOptions.buffer_size.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.pre_buffer.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.cache_options.__get__optionspyarrow._dataset_parquet.ParquetFragmentScanOptions.cache_options.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_string_size_limit.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_container_size_limit.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.decryption_properties.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.parquet_decryption_config.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.page_checksum_verification.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.page_checksum_verification.__set__pyarrow._dataset_parquet.ParquetFileWriteOptions.inititems'NoneType' object has no attribute '%.30s'dictionary changed size during iterationpyarrow._dataset_parquet.ParquetFileWriteOptions.__repr__pyarrow._dataset_parquet.ParquetFileFormat.initpyarrow._dataset_parquet.ParquetFileFormat.__repr__pyarrow._dataset_parquet.ParquetFileFragment.initpyarrow._dataset_parquet.ParquetReadOptions.__repr__pyarrow._dataset_parquet.ParquetReadOptions.__eq__pyarrow._dataset_parquet.ParquetReadOptions.coerce_int96_timestamp_unit.__set__Expected %s, got %.200spyarrow._dataset_parquet.ParquetReadOptions.dictionary_columns.__set__pyarrow._dataset_parquet.ParquetReadOptions._coerce_int96_timestamp_unit.__set__pyarrow._dataset_parquet.ParquetFactoryOptions.validate_column_chunk_paths.__set____init__pyarrow._dataset_parquet.ParquetFactoryOptions.__init__pyarrow._dataset_parquet.ParquetDatasetFactory.initequalspyarrow._dataset_parquet.ParquetFileFormat.equalsother__reduce__pyarrow._dataset_parquet.ParquetFileFormat.__reduce__statisticspyarrow._dataset_parquet.RowGroupInfo.statisticspyarrow._dataset_parquet.ParquetFactoryOptions.__setstate_cython____setstate_cython____repr__pyarrow._dataset_parquet.RowGroupInfo.__repr____eq__pyarrow._dataset_parquet.RowGroupInfo.__eq__pyarrow._dataset_parquet.ParquetReadOptions.equalspyarrow._dataset_parquet.ParquetReadOptions.__reduce_cython___set_encryption_configpyarrow._dataset_parquet.ParquetFileWriteOptions._set_encryption_configpyarrow._dataset_parquet.ParquetDatasetFactory.__setstate_cython__pyarrow._dataset_parquet.ParquetFileWriteOptions.__setstate_cython__Module '_dataset_parquet' has already been imported. Re-initialisation is not supported.cython_runtime__builtins__does not matchpyarrow._dataset_parquetcompile time Python version %d.%d of module '%.100s' %s runtime version %d.%d_cython_3_0_10Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling_Weakrefable_true%.200s does not export expected C variable %.200sarrow::compute::ExpressionC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)int (arrow::Status const &)check_statusPyObject *(enum  arrow::TimeUnit::type)timeunit_to_stringenum  arrow::TimeUnit::type (PyObject *)string_to_timeunitstd::shared_ptr<parquet::WriterProperties>  (struct __pyx_opt_args_7pyarrow_8_parquet__create_writer_properties *__pyx_optional_args)_create_writer_propertiesstd::shared_ptr<parquet::ArrowWriterProperties>  (struct __pyx_opt_args_7pyarrow_8_parquet__create_arrow_writer_properties *__pyx_optional_args)_create_arrow_writer_propertiesarrow::dataset::FileSource (PyObject *, struct __pyx_opt_args_7pyarrow_8_dataset__make_file_source *__pyx_optional_args)_make_file_sourcearrow::compute::Expression (struct __pyx_obj_7pyarrow_8_compute_Expression *, struct __pyx_obj_7pyarrow_3lib_Schema *)_bindinit pyarrow._dataset_parquet_reconstructargument after ** must be a mapping, not NoneTypepyarrow._dataset_parquet.ParquetFragmentScanOptions._reconstructpyarrow._dataset_parquet.ParquetReadOptions._coerce_int96_timestamp_unit.__get__pyarrow._dataset_parquet.ParquetReadOptions.coerce_int96_timestamp_unit.__get__string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_stringpyarrow._dataset_parquet.ParquetFactoryOptions.partition_base_dir.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.__reduce__pyarrow._dataset_parquet.ParquetReadOptions.__init__pyarrow._dataset_parquet.RowGroupInfo.__init__num_rowspyarrow._dataset_parquet.RowGroupInfo.num_rowstotal_byte_sizepyarrow._dataset_parquet.RowGroupInfo.total_byte_sizepyarrow._dataset_parquet.ParquetFragmentScanOptions.buffer_size.__set__vector.to_py.__pyx_convert_vector_to_py_intpyarrow._dataset_parquet.ParquetFileFragment.__reduce__pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_string_size_limit.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_container_size_limit.__set__pyarrow._dataset_parquet.ParquetFactoryOptions.partition_base_dir.__set__updateset changed size during iterationpyarrow._dataset_parquet.ParquetFileWriteOptions.updatename_statsselffree variable '%s' referenced before assignment in enclosing scopepyarrow._dataset_parquet.RowGroupInfo.statistics.name_statspyarrow._dataset_parquet.ParquetFragmentScanOptions.equalspyarrow._dataset_parquet.ParquetFragmentScanOptions.parquet_decryption_config.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.decryption_properties.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.pre_buffer.__set__pyarrow._dataset_parquet.ParquetFileFormat.read_options.__get__make_write_optionspyarrow._dataset_parquet.ParquetFileFormat.make_write_options'NoneType' object is not subscriptablehasattr(): attribute name must be stringpyarrow._dataset_parquet.__pyx_unpickle_ParquetReadOptions__set_statetuplepyarrow._dataset_parquet.ParquetReadOptions.__setstate_cython____pyx_unpickle_ParquetReadOptionspyarrow._dataset_parquet.__pyx_unpickle_ParquetReadOptions_set_arrow_propertiespyarrow._dataset_parquet.ParquetFileWriteOptions._set_arrow_properties_set_propertiespyarrow._dataset_parquet.ParquetFileWriteOptions._set_propertiespyarrow._dataset_parquet.ParquetFileFragment.metadata.__get__pyarrow._dataset_parquet.ParquetFileFormat._set_default_fragment_scan_optionsensure_complete_metadatapyarrow._dataset_parquet.ParquetFileFragment.ensure_complete_metadatapyarrow._dataset_parquet.ParquetFileFormat._finish_writepyarrow._dataset_parquet.ParquetFragmentScanOptions.__init__pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning.__get__pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning_factory.__get__valuepyarrow._dataset_parquet.ParquetFactoryOptions.partitioning.__set__pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning_factory.__set__pyarrow._dataset_parquet.ParquetFileFragment.row_groups.__get__split_by_row_grouppyarrow._dataset_parquet.ParquetFileFragment.split_by_row_groupfilterschemapyarrow._dataset_parquet.ParquetDatasetFactory.__init__filesystemformatUninitialized Result<T>vector.from_py.__pyx_convert_vector_from_py_intsubsetpyarrow._dataset_parquet.ParquetFileFragment.subsetpyarrow._dataset_parquet.ParquetFileFormat.make_fragmentmake_fragmentpartition_expressionpyarrow._dataset_parquet.ParquetFileFormat.__init___cython_3_0_10.cython_function_or_method__module__func_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults____annotations___is_coroutinepyarrow._dataset_parquet.__pyx_scope_struct__statisticspyarrow._dataset_parquet.ParquetDatasetFactoryParquetDatasetFactory(metadata_path, FileSystem filesystem, FileFormat format, ParquetFactoryOptions options=None)

    Create a ParquetDatasetFactory from a Parquet `_metadata` file.

    Parameters
    ----------
    metadata_path : str
        Path to the `_metadata` parquet metadata-only file generated with
        `pyarrow.parquet.write_metadata`.
    filesystem : pyarrow.fs.FileSystem
        Filesystem to read the metadata_path from, and subsequent parquet
        files.
    format : ParquetFileFormat
        Parquet format options.
    options : ParquetFactoryOptions, optional
        Various flags influencing the discovery of filesystem paths.
    pyarrow._dataset_parquet.ParquetFactoryOptionsParquetFactoryOptions(partition_base_dir=None, partitioning=None, validate_column_chunk_paths=False)

    Influences the discovery of parquet dataset.

    Parameters
    ----------
    partition_base_dir : str, optional
        For the purposes of applying the partitioning, paths will be
        stripped of the partition_base_dir. Files not matching the
        partition_base_dir prefix will be skipped for partitioning discovery.
        The ignored files will still be part of the Dataset, but will not
        have partition information.
    partitioning : Partitioning, PartitioningFactory, optional
        The partitioning scheme applied to fragments, see ``Partitioning``.
    validate_column_chunk_paths : bool, default False
        Assert that all ColumnChunk paths are consistent. The parquet spec
        allows for ColumnChunk data to be stored in multiple files, but
        ParquetDatasetFactory supports only a single file with all ColumnChunk
        data. If this flag is set construction of a ParquetDatasetFactory will
        raise an error if ColumnChunk data is not resident in a single file.
    partitioningPartitioning to apply to discovered files.

        NOTE: setting this property will overwrite partitioning_factory.
        partitioning_factoryPartitioningFactory to apply to discovered files and
        discover a Partitioning.

        NOTE: setting this property will overwrite partitioning.
        partition_base_dir
        Base directory to strip paths before applying the partitioning.
        validate_column_chunk_pathspyarrow._dataset_parquet.ParquetReadOptionsParquetReadOptions(dictionary_columns=None, coerce_int96_timestamp_unit=None)

    Parquet format specific options for reading.

    Parameters
    ----------
    dictionary_columns : list of string, default None
        Names of columns which should be dictionary encoded as
        they are read
    coerce_int96_timestamp_unit : str, default None
        Cast timestamps that are stored in INT96 format to a particular
        resolution (e.g. 'ms'). Setting to None is equivalent to 'ns'
        and therefore INT96 timestamps will be inferred as timestamps
        in nanoseconds
    coerce_int96_timestamp_unitdictionary_columnsdictionary_columns: set_coerce_int96_timestamp_unit_coerce_int96_timestamp_unit: 'TimeUnit'pyarrow._dataset_parquet.ParquetFileFragmentA Fragment representing a parquet file.row_groupsnum_row_groups
        Return the number of row groups viewed by this fragment (not the
        number of row groups in the origin file).
        pyarrow._dataset_parquet.ParquetFileFormatParquetFileFormat(read_options=None, default_fragment_scan_options=None, **kwargs)

    FileFormat for Parquet

    Parameters
    ----------
    read_options : ParquetReadOptions
        Read options for the file.
    default_fragment_scan_options : ParquetFragmentScanOptions
        Scan Options for the file.
    **kwargs : dict
        Additional options for read option or scan option
    read_optionsdefault_extnamepyarrow._dataset_parquet.ParquetFileWriteOptionspyarrow._dataset_parquet.ParquetFragmentScanOptionsParquetFragmentScanOptions(bool use_buffered_stream=False, *, buffer_size=8192, bool pre_buffer=True, cache_options=None, thrift_string_size_limit=None, thrift_container_size_limit=None, decryption_config=None, decryption_properties=None, bool page_checksum_verification=False)

    Scan-specific options for Parquet fragments.

    Parameters
    ----------
    use_buffered_stream : bool, default False
        Read files through buffered input streams rather than loading entire
        row groups at once. This may be enabled to reduce memory overhead.
        Disabled by default.
    buffer_size : int, default 8192
        Size of buffered stream, if enabled. Default is 8KB.
    pre_buffer : bool, default True
        If enabled, pre-buffer the raw Parquet data instead of issuing one
        read per column chunk. This can improve performance on high-latency
        filesystems (e.g. S3, GCS) by coalescing and issuing file reads in
        parallel using a background I/O thread pool.
        Set to False if you want to prioritize minimal memory usage
        over maximum speed.
    cache_options : pyarrow.CacheOptions, default None
        Cache options used when pre_buffer is enabled. The default values should
        be good for most use cases. You may want to adjust these for example if
        you have exceptionally high latency to the file system. 
    thrift_string_size_limit : int, default None
        If not None, override the maximum total string size allocated
        when decoding Thrift structures. The default limit should be
        sufficient for most Parquet files.
    thrift_container_size_limit : int, default None
        If not None, override the maximum total size of containers allocated
        when decoding Thrift structures. The default limit should be
        sufficient for most Parquet files.
    decryption_config : pyarrow.dataset.ParquetDecryptionConfig, default None
        If not None, use the provided ParquetDecryptionConfig to decrypt the
        Parquet file.
    decryption_properties : pyarrow.parquet.FileDecryptionProperties, default None
        If not None, use the provided FileDecryptionProperties to decrypt encrypted
        Parquet file.
    page_checksum_verification : bool, default False
        If True, verify the page checksum for each page read from the file.
    use_buffered_streambuffer_sizepre_buffercache_optionsthrift_string_size_limitthrift_container_size_limitdecryption_propertiesparquet_decryption_configpage_checksum_verification
#.9DOZep1.02.6
    A wrapper class for RowGroup information

    Parameters
    ----------
    id : integer
        The group ID.
    metadata : FileMetaData
        The rowgroup metadata.
    schema : Schema
        Schema of the rows.
    Buffer size must be larger than zeroCannot specify both 'filter' and 'row_group_ids'.Encryption is not enabled in your installation of pyarrow, but an encryption_config was provided.Encryption is not enabled in your installation of pyarrow, but decryption_properties were provided.Encryption is not enabled in your installation of pyarrow, but a decryption_config was provided.If `default_fragment_scan_options` is given, cannot specify If `read_options` is given, cannot specify ImportErrorIncompatible checksums (0x%x vs (0x5c51178, 0xb7978a9, 0xe41b4cf) = (_coerce_int96_timestamp_unit, dictionary_columns))MemoryErrorNeed to specify one of 'filter' or 'row_group_ids'NotImplementedErrorParquetDatasetFactoryParquetDatasetFactory.__reduce_cython__ParquetDatasetFactory.__setstate_cython__ParquetFactoryOptionsParquetFactoryOptions.__reduce_cython__ParquetFactoryOptions.__setstate_cython__ParquetFileFormatParquetFileFormat.__reduce__ParquetFileFormat.equalsParquetFileFormat.make_fragmentParquetFileFormat.make_write_options<ParquetFileFormat read_options=ParquetFileFragmentParquetFileFragment.__reduce__ParquetFileFragment.ensure_complete_metadataParquetFileFragment.split_by_row_groupParquetFileFragment.subsetParquetFileWriteOptionsParquetFileWriteOptions.__reduce_cython__ParquetFileWriteOptions.__setstate_cython__ParquetFileWriteOptions._set_arrow_propertiesParquetFileWriteOptions._set_encryption_configParquetFileWriteOptions._set_propertiesParquetFileWriteOptions.updateParquetFragmentScanOptionsParquetFragmentScanOptions.__reduce__ParquetFragmentScanOptions._reconstructParquetFragmentScanOptions.equalsParquetReadOptionsParquetReadOptions.__reduce_cython__ParquetReadOptions.__setstate_cython__<ParquetReadOptions dictionary_columns=ParquetReadOptions.equalsPickleErrorRowGroupInfo({})RowGroupInfoRowGroupInfo.__eq__RowGroupInfo.__init__RowGroupInfo.__repr__RowGroupInfo.num_rowsRowGroupInfo.statisticsRowGroupInfo.statistics.<locals>.name_statsRowGroupInfo.total_byte_sizeRuntimeErrorThe scan options Time zones are not available from the C-API.TypeErrorUnable to access encryption features. Encryption is not enabled in your installation of pyarrow.V2ValueError =, .*>?allow_truncated_timestampsappendarrow_fieldsas_pyasyncio.coroutinesattrsbufferbuffer_sizec_filterc_fragmentc_fragmentsc_row_group_idsc_row_groupsc_sourcecache_optionscline_in_traceback_coerce_int96_timestamp_unitcoerce_int96_timestamp_unit coerce_int96_timestamp_unit=coerce_timestampscolcolumncolumn_encodingcompressioncompression_leveldata_page_sizedata_page_versiondecryption_configdecryption_propertiesdefault_fragment_scan_options`default_fragment_scan_options` must be either a dictionary or an instance of ParquetFragmentScanOptions__dict___dictdictionary_columnsdictionary_pagesize_limitdisable__doc__enableencryption_configencryption_propertiesensure_complete_metadata__eq__equalsfieldfield_indexfilefile_sizefilesystemfilterformatfrombytesgcget_field_index__getstate__has_min_maxiid__import____init____init_subclass___initializing_is_coroutineis_threading_enabledisenableditemskwargs__main__make_fragmentmake_write_optionsmake_write_options() should be called on an instance of ParquetFileFormatmapmax__metaclass__metadatametadata_pathmin__module__name__name__name_stats__new__num_columnsnum_rowsoptionsoptsosotherother_attrspapage_checksum_verificationparquetparquet_decryption_configparquet_encryption_enabledpartition_base_dirpartition_expressionpartitioningpartitioning_factorypathpath_in_schemaphysical_schemapicklepre_buffer__prepare__propertypyarrowpyarrow._dataset_parquetpyarrow._dataset_parquet_encryptionpyarrow/_dataset_parquet.pyx<pyarrow.dataset.ParquetFileWriteOptions {0}>pyarrow.lib__pyx_PickleError__pyx_checksum__pyx_result__pyx_state__pyx_type__pyx_unpickle_ParquetReadOptions__pyx_vtable____qualname__rangeread_options`read_options` must be either a dictionary or an instance of ParquetReadOptions_reconstruct__reduce____reduce_cython____reduce_ex__relpath__repr__row_grouprow_group_idsrow_groupsscalar_scalarschemaselfself.c_options,self.parquet_options,self.wrapped cannot be converted to a Python object for picklingself.factory,self.parquet_factory,self.wrapped cannot be converted to a Python object for picklingself.options cannot be converted to a Python object for pickling_set_arrow_propertiesset_decryption_configset_decryption_properties_set_default_fragment_scan_options_set_encryption_configset_encryption_configset_file_path__set_name___set_properties__setstate____setstate_cython__settersetters should be specified directly as keyword argumentssize must be larger than zero__slots__snappysorting_columns__spec__split_by_row_groupstatestaticmethodstatisticsstatsstore_decimal_as_integer<stringsource>subsetsuper__test__thrift_container_size_limitthrift_string_size_limittobytestotal_byte_sizetyptypetype_nameunexpected parquet write option: updateuse_buffered_streamuse_byte_stream_splituse_compliant_nested_typeuse_deprecated_int96_timestampsuse_dictionaryuse_setstatevalidate_column_chunk_pathsvalueversionwarnwarningswrite_batch_sizewrite_page_checksumwrite_page_indexwrite_statisticsparquet__pyx_unpickle_ParquetReadOptions(__pyx_type, long __pyx_checksum, __pyx_state)ParquetDatasetFactory.__setstate_cython__(self, __pyx_state)ParquetDatasetFactory.__reduce_cython__(self)ParquetFactoryOptions.__setstate_cython__(self, __pyx_state)ParquetFactoryOptions.__reduce_cython__(self)ParquetFragmentScanOptions.__reduce__(self)ParquetFragmentScanOptions._reconstruct(kwargs)ParquetFragmentScanOptions.equals(self, ParquetFragmentScanOptions other)

        Parameters
        ----------
        other : pyarrow.dataset.ParquetFragmentScanOptions

        Returns
        -------
        bool
        ParquetFileWriteOptions.__setstate_cython__(self, __pyx_state)ParquetFileWriteOptions.__reduce_cython__(self)ParquetFileWriteOptions._set_encryption_config(self)ParquetFileWriteOptions._set_arrow_properties(self)ParquetFileWriteOptions._set_properties(self)ParquetFileWriteOptions.update(self, **kwargs)

        Parameters
        ----------
        **kwargs : dict
        ParquetReadOptions.__setstate_cython__(self, __pyx_state)ParquetReadOptions.__reduce_cython__(self)ParquetReadOptions.equals(self, ParquetReadOptions other)

        Parameters
        ----------
        other : pyarrow.dataset.ParquetReadOptions

        Returns
        -------
        bool
        ParquetFileFragment.subset(self, Expression filter=None, Schema schema=None, row_group_ids=None)

        Create a subset of the fragment (viewing a subset of the row groups).

        Subset can be specified by either a filter predicate (with optional
        schema) or by a list of row group IDs. Note that when using a filter,
        the resulting fragment can be empty (viewing no row groups).

        Parameters
        ----------
        filter : Expression, default None
            Only include the row groups which satisfy this predicate (using
            the Parquet RowGroup statistics).
        schema : Schema, default None
            Schema to use when filtering row groups. Defaults to the
            Fragment's physical schema
        row_group_ids : list of ints
            The row group IDs to include in the subset. Can only be specified
            if `filter` is None.

        Returns
        -------
        ParquetFileFragment
        ParquetFileFragment.split_by_row_group(self, Expression filter=None, Schema schema=None)

        Split the fragment into multiple fragments.

        Yield a Fragment wrapping each row group in this ParquetFileFragment.
        Row groups will be excluded whose metadata contradicts the optional
        filter.

        Parameters
        ----------
        filter : Expression, default None
            Only include the row groups which satisfy this predicate (using
            the Parquet RowGroup statistics).
        schema : Schema, default None
            Schema to use when filtering row groups. Defaults to the
            Fragment's physical schema

        Returns
        -------
        A list of Fragments
        ParquetFileFragment.ensure_complete_metadata(self)

        Ensure that all metadata (statistics, physical schema, ...) have
        been read and cached in this fragment.
        ParquetFileFragment.__reduce__(self)RowGroupInfo.__eq__(self, other)RowGroupInfo.__repr__(self)RowGroupInfo.statistics(self)RowGroupInfo.total_byte_size(self)RowGroupInfo.num_rows(self)RowGroupInfo.__init__(self, id, metadata, schema)ParquetFileFormat.make_fragment(self, file, filesystem=None, Expression partition_expression=None, row_groups=None, *, file_size=None)

        Make a FileFragment from a given file.

        Parameters
        ----------
        file : file-like object, path-like or str
            The file or file path to make a fragment from.
        filesystem : Filesystem, optional
            If `filesystem` is given, `file` must be a string and specifies
            the path of the file to read from the filesystem.
        partition_expression : Expression, optional
            An expression that is guaranteed true for all rows in the fragment.  Allows
            fragment to be potentially skipped while scanning with a filter.
        row_groups : Iterable, optional
            The indices of the row groups to include
        file_size : int, optional
            The size of the file in bytes. Can improve performance with high-latency filesystems
            when file size needs to be known before reading.

        Returns
        -------
        fragment : Fragment
            The file fragment
        ParquetFileFormat.__reduce__(self)ParquetFileFormat.equals(self, ParquetFileFormat other)

        Parameters
        ----------
        other : pyarrow.dataset.ParquetFileFormat

        Returns
        -------
        bool
        ParquetFileFormat.make_write_options(self, **kwargs)

        Parameters
        ----------
        **kwargs : dict

        Returns
        -------
        pyarrow.dataset.FileWriteOptions
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