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arrow-nightlies / pyarrow python

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pyarrow / _dataset_parquet.cpython-312-aarch64-linux-musl.so
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ùÁ´£@ù$@ùÚ!x!ø¡Bh"øåÿÿt°âGùAeÿàªÒ2cÿà@ù@ùëÒ`Tù+ù?dÿôªàªcÿàªÒ%cÿ`°àGùâ@ù@ùBëÒù+ùAþÿTàª×eÿcÿóª\eÿà@ù@ùëÒù+ùáüÿTàªÌeÿ Õ Õ Õ_$Ր°ÂF9p4 à¸À_Öð* ü_1ü¯ÿÿ5À_Öý{¿©ýý{hÀ_Öat leastat mostexactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompiling while calling a Python objectNULL result without error in PyObject_CallUnknown exception_cython_3_1_3<cyfunction %U at %p>Bad call flags for CyFunction%s() got an unexpected keyword argument '%U'__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.__int__ returned non-int (type %.200s)an integer is required__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_locationsbase 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%.200s.%.200s is not a type object%.200s.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObject%.200s() keywords must be strings%s() got multiple values for keyword argument '%U'invalid vtable found for imported typebuiltinsboolcomplexdatetimedatetimetimedeltatzinfopyarrow.libIpcWriteOptionsIpcReadOptionsMessageMemoryPoolDataTypeListTypeLargeListTypeListViewTypeLargeListViewTypeMapTypeFixedSizeListTypeStructTypeDictionaryMemoDictionaryTypeTimestampTypeTime32TypeTime64TypeDurationTypeFixedSizeBinaryTypeDecimal32TypeDecimal64TypeDecimal128TypeDecimal256TypeRunEndEncodedTypeBaseExtensionTypeExtensionTypeFixedShapeTensorTypeBool8TypeOpaqueTypeUuidTypeJsonType_MetadataKeyValueMetadataFieldSchemaScalarArrayStatistics_PandasConvertibleTensorSparseCSRMatrixSparseCSCMatrixSparseCOOTensorSparseCSFTensorNullArrayBooleanArrayNumericArrayIntegerArrayFloatingPointArrayInt8ArrayUInt8ArrayInt16ArrayUInt16ArrayInt32ArrayUInt32ArrayInt64ArrayUInt64ArrayHalfFloatArrayFloatArrayDoubleArrayFixedSizeBinaryArrayDecimal32ArrayDecimal64ArrayDecimal128ArrayDecimal256ArrayStructArrayBaseListArrayListArrayLargeListArrayListViewArrayLargeListViewArrayMapArrayFixedSizeListArrayUnionArrayStringArrayBinaryArrayStringViewArrayBinaryViewArrayDictionaryArrayExtensionArrayMonthDayNanoIntervalArrayChunkedArray_TabularTableRecordBatchDeviceMemoryManagerBufferResizableBufferNativeFileBufferedInputStreamBufferedOutputStreamCompressedInputStreamCompressedOutputStream_CRecordBatchWriterRecordBatchReaderCacheOptionsCodecStopTokenpyarrow._parquetFileEncryptionPropertiesParquetSchemaFileMetaDataRowGroupMetaDataColumnChunkMetaDataStatisticsGeoStatisticsFileDecryptionPropertiespyarrow._fsFileInfoFileSelectorFileSystemLocalFileSystemSubTreeFileSystem_MockFileSystemPyFileSystempyarrow._datasetDatasetScannerFragmentPartitioningPartitioningFactoryWrittenFilepyarrow._computeUdfContextFunctionOptions_SortOptionsmultiple bases have vtable conflict: '%.200s' and '%.200s'join() result is too long for a Python string%.200s() %stakes no keyword argumentstakes no arguments%.200s() %s (%zd given)takes exactly one argumentMissing type objectCannot convert %.200s to %.200skeywords must be stringsunbound method %.200S() needs an argument__annotations__ must be set to a dict object__name__ must be set to a string object__qualname__ 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-dictcannot import name %Sinstance exception may not have a separate valueraise: exception class must be a subclass of BaseExceptioncalling %R should have returned an instance of BaseException, not %RArgument '%.200s' has incorrect type (expected %.200s, got %.200s)<stringsource>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.ParquetDatasetFactory.initpyarrow._dataset_parquet.ParquetFragmentScanOptions.initpyarrow._dataset_parquet.ParquetFileWriteOptions.initpyarrow._dataset_parquet.ParquetFileFragment.initpyarrow._dataset_parquet.ParquetFileFormat.init__reduce__vector.to_py.__pyx_convert_vector_to_py_intpyarrow._dataset_parquet.ParquetFileFragment.__reduce__optionspyarrow._dataset_parquet.ParquetFragmentScanOptions.cache_options.__set____del__pyarrow._dataset_parquet.ParquetFragmentScanOptions.arrow_extensions_enabled.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.arrow_extensions_enabled.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.cache_options.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.pre_buffer.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.page_checksum_verification.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.page_checksum_verification.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_container_size_limit.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_string_size_limit.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.buffer_size.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.use_buffered_stream.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.use_buffered_stream.__get__pyarrow._dataset_parquet.ParquetFileWriteOptions.__repr__pyarrow._dataset_parquet.ParquetFileFormat.__repr__pyarrow._dataset_parquet.ParquetReadOptions.__eq__pyarrow._dataset_parquet.ParquetReadOptions.binary_type.__get__pyarrow._dataset_parquet.ParquetReadOptions.list_type.__set__pyarrow._dataset_parquet.ParquetReadOptions.coerce_int96_timestamp_unit.__get__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.__get__pyarrow._dataset_parquet.ParquetReadOptions._binary_type.__get__pyarrow._dataset_parquet.ParquetReadOptions._list_type.__get____init__pyarrow._dataset_parquet.ParquetReadOptions.__init__pyarrow._dataset_parquet.ParquetFactoryOptions.validate_column_chunk_paths.__set__equalspyarrow._dataset_parquet.ParquetFileFormat.equalsotherpyarrow._dataset_parquet.ParquetFileFormat.__reduce____setstate_cython__pyarrow._dataset_parquet.ParquetDatasetFactory.__setstate_cython____reduce_cython__pyarrow._dataset_parquet.ParquetDatasetFactory.__reduce_cython__pyarrow._dataset_parquet.ParquetFactoryOptions.__setstate_cython__pyarrow._dataset_parquet.ParquetFactoryOptions.__reduce_cython__pyarrow._dataset_parquet.ParquetFileWriteOptions.__setstate_cython__pyarrow._dataset_parquet.ParquetFileWriteOptions.__reduce_cython____repr__pyarrow._dataset_parquet.RowGroupInfo.__repr__total_byte_sizepyarrow._dataset_parquet.RowGroupInfo.total_byte_sizenum_rowspyarrow._dataset_parquet.RowGroupInfo.num_rowspyarrow._dataset_parquet.RowGroupInfo.__init__pyarrow._dataset_parquet.ParquetReadOptions.__repr__pyarrow._dataset_parquet.ParquetReadOptions.equalsupdatedictionary changed size during iterationset changed size during iterationpyarrow._dataset_parquet.ParquetFileWriteOptions.updatepyarrow._dataset_parquet.ParquetFragmentScanOptions.buffer_size.__set__make_write_optionspyarrow._dataset_parquet.ParquetFileFormat.make_write_options_reconstructargument after ** must be a mapping, not NoneTypepyarrow._dataset_parquet.ParquetFragmentScanOptions._reconstructpyarrow._dataset_parquet.ParquetFactoryOptions.__init__statisticstoo many values to unpack (expected %zd)need more than %zd value%.1s to unpackpyarrow._dataset_parquet.RowGroupInfo.statisticsvalue too large to convert to enum  arrow::Type::typevalue too large to convert to int32_tpyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_string_size_limit.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.thrift_container_size_limit.__set__value too large to convert to enum  arrow::TimeUnit::typevalue too large to convert to intpyarrow._dataset_parquet.ParquetFragmentScanOptions.__reduce__'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_ParquetReadOptionspyarrow._dataset_parquet.ParquetReadOptions._list_type.__set__pyarrow._dataset_parquet.ParquetReadOptions._coerce_int96_timestamp_unit.__set__pyarrow._dataset_parquet.ParquetReadOptions._binary_type.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.equalsname '%U' is not definedpyarrow._dataset_parquet.ParquetReadOptions.__reduce_cython__name_statsselffree variable '%s' referenced before assignment in enclosing scopepyarrow._dataset_parquet.RowGroupInfo.statistics.name_statspyarrow._dataset_parquet.ParquetFragmentScanOptions.decryption_properties.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.parquet_decryption_config.__get__string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_stringpyarrow._dataset_parquet.ParquetFileFormat.read_options.__get__pyarrow._dataset_parquet.ParquetFactoryOptions.partition_base_dir.__get__pyarrow._dataset_parquet.ParquetFactoryOptions.partition_base_dir.__set__pyarrow._dataset_parquet.ParquetFileFragment.row_groups.__get__pyarrow._dataset_parquet.ParquetFragmentScanOptions.pre_buffer.__set____eq__pyarrow._dataset_parquet.RowGroupInfo.__eq__pyarrow._dataset_parquet.ParquetFragmentScanOptions.parquet_decryption_config.__set__pyarrow._dataset_parquet.ParquetFragmentScanOptions.decryption_properties.__set___set_encryption_configpyarrow._dataset_parquet.ParquetFileWriteOptions._set_encryption_configpyarrow._dataset_parquet.ParquetReadOptions.list_type.__get__Unable to initialize pickling for %.200sModule '_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_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_statusstruct __pyx_obj_7pyarrow_3lib_DataType *(enum  arrow::Type::type)primitive_typePyObject *(enum  arrow::TimeUnit::type)timeunit_to_stringenum  arrow::TimeUnit::type (PyObject *)string_to_timeunitstd::shared_ptr< arrow::DataType>  (PyObject *)pyarrow_unwrap_data_typestd::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_propertiesenum  arrow::Type::type (PyObject *)_unwrap_list_typearrow::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_set_arrow_propertiespyarrow._dataset_parquet.ParquetFileWriteOptions._set_arrow_properties_set_propertiespyarrow._dataset_parquet.ParquetFileWriteOptions._set_propertiespyarrow._dataset_parquet.ParquetFileFragment.metadata.__get__ensure_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__pyarrow._dataset_parquet.ParquetReadOptions.binary_type.__set__valuepyarrow._dataset_parquet.ParquetFactoryOptions.partitioning.__set__pyarrow._dataset_parquet.ParquetFactoryOptions.partitioning_factory.__set__pyarrow._dataset_parquet.ParquetFileFormat._set_default_fragment_scan_optionssplit_by_row_grouppyarrow._dataset_parquet.ParquetFileFragment.split_by_row_groupfilterschemapyarrow._dataset_parquet.ParquetDatasetFactory.__init__filesystemformatvector.from_py.__pyx_convert_vector_from_py_intvector::reservesubsetpyarrow._dataset_parquet.ParquetFileFragment.subsetpyarrow._dataset_parquet.ParquetFileFormat.make_fragmentmake_fragmentpartition_expression'NoneType' object is not iterablepyarrow._dataset_parquet.ParquetFileFormat.__init___cython_3_1_3.cython_function_or_method__module____dictoffset____vectorcalloffset____weaklistoffset__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_coroutine_cython_3_1_3._common_types_metatypepyarrow._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, binary_type=None, list_type=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
binary_type : pyarrow.DataType, default None
    If given, Parquet binary columns will be read as this datatype.
    This setting is ignored if a serialized Arrow schema is found in
    the Parquet metadata.
list_type : subclass of pyarrow.DataType, default None
    If given, non-MAP repeated columns will be read as an instance of
    this datatype (either pyarrow.ListType or pyarrow.LargeListType).
    This setting is ignored if a serialized Arrow schema is found in
    the Parquet metadata.binary_typecoerce_int96_timestamp_unitdictionary_columnsdictionary_columns: set_coerce_int96_timestamp_unit_coerce_int96_timestamp_unit: 'TimeUnit'_binary_type_binary_type: 'Type'_list_type_list_type: 'Type'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 optionread_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, bool arrow_extensions_enabled=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.
arrow_extensions_enabled : bool, default False
    If True, read Parquet logical types as Arrow extension types where possible,
    (e.g., read JSON as the canonical `arrow.json` extension type or UUID as
    the canonical `arrow.uuid` extension type).use_buffered_streambuffer_sizepre_buffercache_optionsthrift_string_size_limitthrift_container_size_limitdecryption_propertiesparquet_decryption_configpage_checksum_verificationarrow_extensions_enabledCalled Open() on an uninitialized FileSourceConstructed with a non-error status: basic_string::appendvector::_M_realloc_insert
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^1ØÐ!ð"vðvxðxyØÐ% X¨Q¨aØ|7!Ø4°AÐ5JÈ.ÐXYØ1__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
-------
boolParquetFileWriteOptions.__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 : dictParquetReadOptions.__setstate_cython__(self, __pyx_state)ParquetReadOptions.__reduce_cython__(self)ParquetReadOptions.equals(self, ParquetReadOptions other)

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

Returns
-------
boolParquetFileFragment.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
-------
ParquetFileFragmentParquetFileFragment.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 FragmentsParquetFileFragment.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 fragmentParquetFileFormat.__reduce__(self)ParquetFileFormat.equals(self, ParquetFileFormat other)

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

Returns
-------
boolParquetFileFormat.make_write_options(self, **kwargs)

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

Returns
-------
pyarrow.dataset.FileWriteOptionsEncryption is not enabled in your installation of pyarrow, but a decryption_config was provided.Encryption is not enabled in your installation of pyarrow, but decryption_properties were provided.self.options cannot be converted to a Python object for picklingself.factory,self.parquet_factory,self.wrapped cannot be converted to a Python object for picklingself.c_options,self.parquet_options,self.wrapped cannot be converted to a Python object for picklingpyarrow._dataset_parquet_encryptionmake_write_options() should be called on an instance of ParquetFileFormatUnable to access encryption features. Encryption is not enabled in your installation of pyarrow.RowGroupInfo.statistics.<locals>.name_statsParquetReadOptions.__setstate_cython__ParquetReadOptions.__reduce_cython__ParquetFragmentScanOptions.equalsParquetFragmentScanOptions._reconstructParquetFragmentScanOptions.__reduce__ParquetFileWriteOptions._set_propertiesParquetFileWriteOptions._set_encryption_configParquetFileWriteOptions._set_arrow_propertiesParquetFileWriteOptions.__setstate_cython__ParquetFileWriteOptions.__reduce_cython__ParquetFileFragment.split_by_row_groupParquetFileFragment.ensure_complete_metadataParquetFileFormat.make_write_optionsParquetFactoryOptions.__setstate_cython__ParquetFactoryOptions.__reduce_cython__ParquetDatasetFactory.__setstate_cython__ParquetDatasetFactory.__reduce_cython__Note that Cython is deliberately stricter than PEP-484 and rejects subclasses of builtin types. If you need to pass subclasses then set the 'annotation_typing' directive to False.Need to specify one of 'filter' or 'row_group_ids'Incompatible checksums (0x%x vs (0x85ac265, 0xf36e86f, 0x6a6734d) = (_binary_type, _coerce_int96_timestamp_unit, _list_type, dictionary_columns))If `default_fragment_scan_options` is given, cannot specify Encryption is not enabled in your installation of pyarrow, but an encryption_config was provided.Dataset support for Parquet file format.Cannot specify both 'filter' and 'row_group_ids'.use_deprecated_int96_timestampsunexpected parquet write option:  should be specified directly as keyword arguments_set_default_fragment_scan_options`read_options` must be either a dictionary or an instance of ParquetReadOptions<pyarrow.dataset.ParquetFileWriteOptions `default_fragment_scan_options` must be either a dictionary or an instance of ParquetFragmentScanOptions<ParquetReadOptions dictionary_columns=ParquetFileFormat.make_fragmentIf `read_options` is given, cannot specify Buffer size must be larger than zero
    A wrapper class for RowGroup information

    Parameters
    ----------
    id : integer
        The group ID.
    metadata : FileMetaData
        The rowgroup metadata.
    schema : Schema
        Schema of the rows.
    __pyx_unpickle_ParquetReadOptionsParquetFileWriteOptions.update<ParquetFileFormat read_options=size must be larger than zerodefault_fragment_scan_options coerce_int96_timestamp_unit=coerce_int96_timestamp_unitpyarrow/_dataset_parquet.pyxRowGroupInfo.total_byte_sizeParquetFileFragment.__reduce__validate_column_chunk_pathsthrift_container_size_limit_coerce_int96_timestamp_unitparquet_encryption_enabledpage_checksum_verificationallow_truncated_timestampsParquetFragmentScanOptionsParquetFileFragment.subsetParquetFileFormat.__reduce__use_compliant_nested_typeset_decryption_propertiesparquet_decryption_configdictionary_pagesize_limitParquetReadOptions.equalsthrift_string_size_limitstore_decimal_as_integerpyarrow._dataset_parquetensure_complete_metadataarrow_extensions_enabledParquetFileFormat.equalsset_encryption_configRowGroupInfo.statisticsParquetFileWriteOptionsuse_byte_stream_split_set_encryption_configset_decryption_configencryption_propertiesdecryption_propertiesRowGroupInfo.num_rowsParquetFactoryOptionsParquetDatasetFactory_set_arrow_propertiespartitioning_factorypartition_expressionis_threading_enabledwrite_page_checksumuse_buffered_streamRowGroupInfo.__repr__RowGroupInfo.__init__ParquetFileFragmentNotImplementedErrorsplit_by_row_grouppartition_base_dirmake_write_optionsdictionary_columnscline_in_tracebackasyncio.coroutinesParquetReadOptionsencryption_configdecryption_configdata_page_versioncompression_levelcoerce_timestampsRowGroupInfo.__eq__ParquetFileFormatwrite_statisticswrite_page_indexwrite_batch_sizeThe scan options total_byte_sizesorting_columns__setstate_cython____pyx_PickleErrorphysical_schemaget_field_indexcolumn_encodingc_row_group_ids{0} out of boundsuse_dictionary_set_propertiespath_in_schemanum_row_groupsdata_page_sizeRowGroupInfoset_file_pathrow_group_ids__reduce_cython__metadata_pathmake_fragmentcache_options binary_type=binary_typeLargeListTypeuse_setstate<stringsource>staticmethodread_options__pyx_checksumpartitioning_is_coroutine_initializingc_row_groupsarrow_fieldsRowGroupInfo(_reconstructpyarrow.libother_attrsnum_columns list_type=list_typehas_min_maxfield_indexcompressionc_fragmentsbuffer_size_binary_typePickleErrorMemoryErrorImportErrorstatisticsrow_groups__pyx_vtable____pyx_resultpre_buffername_statsfilesystemc_fragmentValueErrorIndexErrortype_namerow_group__reduce_ex____pyx_state__metaclass___list_typeisenabledfrombytesfile_sizeTypeErrorwarnings__setstate____set_name___scalar__qualname____pyx_typepropertynum_rowsmetadata__getstate__c_sourcec_filteradd_noteListTypeversiontobytessettersrelpathpyarrow__prepare__parquetoptionsdisableupdatesubsetsnappysetterschemascalar__reduce__picklename__module__kwargsformatfilterequalsenable_dictcolumnbufferappendvaluesuperstatsstate__slots__rangeotheritemsfieldattrsas_pywarntype__test____spec__self__repr__pathopts__name____main____init____func__file__dict__typpop__new__minmaxmap__doc__col2.61.0paosidgc__eq__?.)>V2i, St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EEFN5arrow6ResultISt10shared_ptrINS_2io16RandomAccessFileEEEEvESt19_Sp_make_shared_tagSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN5arrow7dataset19FragmentScanOptionsEN5arrow7dataset26ParquetFragmentScanOptionsEPFN5arrow6ResultISt10shared_ptrINS_2io16RandomAccessFileEEEEvESt23_Sp_counted_ptr_inplaceIN5arrow7dataset17ParquetFileFormatESaIvELN9__gnu_cxx12_Lock_policyE2EESt15_Sp_counted_ptrIPN5arrow7dataset26ParquetFragmentScanOptionsELN9__gnu_cxx12_Lock_policyE2EE@;´ðýÿðlýÿì
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