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arrow-nightlies / pyarrow python

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pyarrow / _substrait.cpython-310-aarch64-linux-gnu.so
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R@àªbb*@ùøa&@ù"½Èÿc¢A9sÂ¢9Âßë!úÿTõ[B©àªóSA©÷cC©ù#@ùý{ŨÀ_ÖÒÝÿÿø¶@µÿôª÷cC©àªóSA©ý{ŨÀ_ÖM´ÿóªàªz³ÿàª´ÿàªfµÿë`TàªÃ´ÿûÿÿ"@ùóªa´àª«´ÿàªQ´ÿíÿÿóªàª	´ÿéÿÿóªéÿÿѳÿóªµÿàªõµÿ_$Õ0°ÒS9p4 à¸À_Öð* ü_1ü¯ÿÿ5À_Öý{¿©ýý{hÀ_ÖShared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilingUnknown exception_cython_3_1_3<cyfunction %U at %p>cannot import name %S__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_locationsBad call flags for CyFunctionpyarrow.libPyObject *(std::shared_ptr< arrow::Buffer>  const &)pyarrow_wrap_bufferPyObject *(std::shared_ptr< arrow::Schema>  const &)pyarrow_wrap_schemastd::shared_ptr< arrow::Buffer>  (PyObject *)pyarrow_unwrap_bufferstd::shared_ptr< arrow::Table>  (PyObject *)pyarrow_unwrap_tablepyarrow._compute_true%.200s does not export expected C variable %.200sarrow::compute::ExpressionC variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s)%.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'exactly%.200s() takes %.8s %zd positional argument%.1s (%zd given)invalid vtable found for imported type%s() got an unexpected keyword argument '%U'%.200s() %stakes no keyword argumentstakes no arguments%.200s() %s (%zd given)takes exactly one argument while calling a Python objectNULL result without error in PyObject_Call__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 stringpyarrow/_substrait.pyxpyarrow._substrait.BoundExpressions.schema.__get____init__pyarrow._substrait.SubstraitSchema.__init__keywords must be stringsunbound method %.200S() needs an argument<stringsource>string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_stringinstance exception may not have a separate valueraise: exception class must be a subclass of BaseExceptioncalling %R should have returned an instance of BaseException, not %R__setstate_cython__pyarrow._substrait.BoundExpressions.__setstate_cython____reduce_cython__pyarrow._substrait.BoundExpressions.__reduce_cython__pyarrow._substrait.BoundExpressions.__init__name '%U' is not definedpyarrow._substrait.get_supported_functionsstring.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_stringfrom_substraitpyarrow._substrait.BoundExpressions.from_substraitserialize_schemapyarrow._substrait.serialize_schemato_pysubstraitpyarrow._substrait.SubstraitSchema.to_pysubstraitUnable to initialize pickling for %.200sModule '_substrait' has already been imported. Re-initialisation is not supported.builtinscython_runtime__builtins__does not matchpyarrow._substraitcompile time Python version %d.%d of module '%.100s' %s runtime version %d.%d_Weakrefablebase 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 typemultiple bases have vtable conflict: '%.200s' and '%.200s'boolcomplexdatetimedatetimetimedeltatzinfoIpcWriteOptionsIpcReadOptionsMessageMemoryPoolDataTypeListTypeLargeListTypeListViewTypeLargeListViewTypeMapTypeFixedSizeListTypeStructTypeDictionaryMemoDictionaryTypeTimestampTypeTime32TypeTime64TypeDurationTypeFixedSizeBinaryTypeDecimal32TypeDecimal64TypeDecimal128TypeDecimal256TypeRunEndEncodedTypeBaseExtensionTypeExtensionTypeFixedShapeTensorTypeBool8TypeOpaqueTypeUuidTypeJsonType_MetadataKeyValueMetadataFieldSchemaScalarArrayStatistics_PandasConvertibleTensorSparseCSRMatrixSparseCSCMatrixSparseCOOTensorSparseCSFTensorNullArrayBooleanArrayNumericArrayIntegerArrayFloatingPointArrayInt8ArrayUInt8ArrayInt16ArrayUInt16ArrayInt32ArrayUInt32ArrayInt64ArrayUInt64ArrayHalfFloatArrayFloatArrayDoubleArrayFixedSizeBinaryArrayDecimal32ArrayDecimal64ArrayDecimal128ArrayDecimal256ArrayStructArrayBaseListArrayListArrayLargeListArrayListViewArrayLargeListViewArrayMapArrayFixedSizeListArrayUnionArrayStringArrayBinaryArrayStringViewArrayBinaryViewArrayDictionaryArrayExtensionArrayMonthDayNanoIntervalArrayChunkedArray_TabularTableRecordBatchDeviceMemoryManagerBufferResizableBufferNativeFileBufferedInputStreamBufferedOutputStreamCompressedInputStreamCompressedOutputStream_CRecordBatchWriterRecordBatchReaderCacheOptionsCodecStopTokenUdfContextFunctionOptions_SortOptionsinit pyarrow._substraitpyarrow._substrait.BoundExpressions.expressions.__get__pyarrow._substrait._serialize_namedstruct_schema_serialize_namedstruct_schema_parse_json_planpyarrow._substrait._parse_json_planrun_queryMissing type objectCannot convert %.200s to %.200spyarrow._substrait.run_querypyarrow._substrait.deserialize_schemadeserialize_schemaserialize_expressionstoo many values to unpack (expected %zd)need more than %zd value%.1s to unpackpyarrow._substrait.serialize_expressionspyarrow._substrait.BoundExpressions.wrappyarrow._substrait.deserialize_expressionsdeserialize_expressions'NoneType' object is not subscriptablepyarrow._substrait._create_named_table_provider_cython_3_1_3.cython_function_or_method__reduce____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._substrait.BoundExpressionsBoundExpressions()

A collection of named expressions and the schema they are bound to

This is equivalent to the Substrait ExtendedExpression messageschema
        The common schema that all expressions are bound to
        expressions
        A dict from expression name to expression
        get_supported_functionsConstructed with a non-error status: basic_string::appendvector::_M_realloc_insert
#.9DOZepget_supported_functions()

Get a list of Substrait functions that the underlying
engine currently supports.

Returns
-------
list[str]
    A list of function ids encoded as '{uri}#{name}'deserialize_expressions(buf)

Deserialize an ExtendedExpression Substrait message into a BoundExpressions object

Parameters
----------
buf : Buffer or bytes
    The message to deserialize

Returns
-------
BoundExpressions
    The deserialized expressions, their names, and the bound schemaBoundExpressions.__setstate_cython__(self, __pyx_state)BoundExpressions.__reduce_cython__(self)BoundExpressions.from_substrait(cls, message)

Convert a Substrait message into a BoundExpressions object

Parameters
----------
message : Buffer or bytes or protobuf Message
    The message to convert to a BoundExpressions object

Returns
-------
BoundExpressions
    The converted expressions, their names, and the bound schemaserialize_expressions(exprs, names, schema, *, allow_arrow_extensions=False)

Serialize a collection of expressions into Substrait

Substrait expressions must be bound to a schema.  For example,
the Substrait expression ``a:i32 + b:i32`` is different from the
Substrait expression ``a:i64 + b:i64``.  Pyarrow expressions are
typically unbound.  For example, both of the above expressions
would be represented as ``a + b`` in pyarrow.

This means a schema must be provided when serializing an expression.
It also means that the serialization may fail if a matching function
call cannot be found for the expression.

Parameters
----------
exprs : list of Expression
    The expressions to serialize
names : list of str
    Names for the expressions
schema : Schema
    The schema the expressions will be bound to
allow_arrow_extensions : bool, default False
    If False then only functions that are part of the core Substrait function
    definitions will be allowed.  Set this to True to allow pyarrow-specific functions
    and user defined functions but the result may not be accepted by other
    compute libraries.

Returns
-------
Buffer
    An ExtendedExpression message containing the serialized expressionsdeserialize_schema(buf)

Deserialize a ``NamedStruct`` Substrait message
or a SubstraitSchema object into an Arrow Schema object

Parameters
----------
buf : Buffer or bytes or SubstraitSchema
    The message to deserialize

Returns
-------
Schema
    The deserialized schema_serialize_namedstruct_schema(schema)serialize_schema(schema)

Serialize a schema into a SubstraitSchema object.

Parameters
----------
schema : Schema
    The schema to serialize

Returns
-------
SubstraitSchema
    The schema stored in a SubstraitSchema object.SubstraitSchema.to_pysubstrait(self)

Convert the schema to a substrait-python ExtendedExpression object.SubstraitSchema.__init__(self, schema, expression)_parse_json_plan(plan)

Parse a JSON plan into equivalent serialized Protobuf.

Parameters
----------
plan : bytes
    Substrait plan in JSON.

Returns
-------
Buffer
    A buffer containing the serialized Protobuf plan.run_query(plan, *, table_provider=None, use_threads=True)

Execute a Substrait plan and read the results as a RecordBatchReader.

Parameters
----------
plan : Union[Buffer, bytes]
    The serialized Substrait plan to execute.
table_provider : object (optional)
    A function to resolve any NamedTable relation to a table.
    The function will receive two arguments which will be a list
    of strings representing the table name and a pyarrow.Schema representing
    the expected schema and should return a pyarrow.Table.
use_threads : bool, default True
    If True then multiple threads will be used to run the query.  If False then
    all CPU intensive work will be done on the calling thread.

Returns
-------
RecordBatchReader
    A reader containing the result of the executed query

Examples
--------
>>> import pyarrow as pa
>>> from pyarrow.lib import tobytes
>>> import pyarrow.substrait as substrait
>>> test_table_1 = pa.Table.from_pydict({"x": [1, 2, 3]})
>>> test_table_2 = pa.Table.from_pydict({"x": [4, 5, 6]})
>>> def table_provider(names, schema):
...     if not names:
...        raise Exception("No names provided")
...     elif names[0] == "t1":
...        return test_table_1
...     elif names[1] == "t2":
...        return test_table_2
...     else:
...        raise Exception("Unrecognized table name")
...
>>> substrait_query = '''
...         {
...             "relations": [
...             {"rel": {
...                 "read": {
...                 "base_schema": {
...                     "struct": {
...                     "types": [
...                                 {"i64": {}}
...                             ]
...                     },
...                     "names": [
...                             "x"
...                             ]
...                 },
...                 "namedTable": {
...                         "names": ["t1"]
...                 }
...                 }
...             }}
...             ]
...         }
... '''
>>> buf = pa._substrait._parse_json_plan(tobytes(substrait_query))
>>> reader = pa.substrait.run_query(buf, table_provider=table_provider)
>>> reader.read_all()
pyarrow.Table
x: int64
----
x: [[1,2,3]]Expected 'pyarrow.Buffer' or bytes or protobuf Message, got 'self.c_bound_exprs cannot be converted to a Python object for picklingexprs and names need to have the same lengthThe 'substrait' package is required.Expected 'pyarrow.Buffer' or bytes, got 'BoundExpressions.__setstate_cython__BoundExpressions.__reduce_cython__A Schema encoded for Substrait usage.

    The SubstraitSchema contains a schema represented
    both as a substrait ``NamedStruct`` and as an
    ``ExtendedExpression``.

    The ``ExtendedExpression`` is available for cases where types
    used by the schema require extensions to decode them.
    In such case the schema will be the ``base_schema`` of the
    ``ExtendedExpression`` and all extensions will be provided.
    
    Execute a Substrait plan and read the results as a RecordBatchReader.

    Parameters
    ----------
    plan : Union[Buffer, bytes]
        The serialized Substrait plan to execute.
    table_provider : object (optional)
        A function to resolve any NamedTable relation to a table.
        The function will receive two arguments which will be a list
        of strings representing the table name and a pyarrow.Schema representing
        the expected schema and should return a pyarrow.Table.
    use_threads : bool, default True
        If True then multiple threads will be used to run the query.  If False then
        all CPU intensive work will be done on the calling thread.

    Returns
    -------
    RecordBatchReader
        A reader containing the result of the executed query

    Examples
    --------
    >>> import pyarrow as pa
    >>> from pyarrow.lib import tobytes
    >>> import pyarrow.substrait as substrait
    >>> test_table_1 = pa.Table.from_pydict({"x": [1, 2, 3]})
    >>> test_table_2 = pa.Table.from_pydict({"x": [4, 5, 6]})
    >>> def table_provider(names, schema):
    ...     if not names:
    ...        raise Exception("No names provided")
    ...     elif names[0] == "t1":
    ...        return test_table_1
    ...     elif names[1] == "t2":
    ...        return test_table_2
    ...     else:
    ...        raise Exception("Unrecognized table name")
    ...
    >>> substrait_query = '''
    ...         {
    ...             "relations": [
    ...             {"rel": {
    ...                 "read": {
    ...                 "base_schema": {
    ...                     "struct": {
    ...                     "types": [
    ...                                 {"i64": {}}
    ...                             ]
    ...                     },
    ...                     "names": [
    ...                             "x"
    ...                             ]
    ...                 },
    ...                 "namedTable": {
    ...                         "names": ["t1"]
    ...                 }
    ...                 }
    ...             }}
    ...             ]
    ...         }
    ... '''
    >>> buf = pa._substrait._parse_json_plan(tobytes(substrait_query))
    >>> reader = pa.substrait.run_query(buf, table_provider=table_provider)
    >>> reader.read_all()
    pyarrow.Table
    x: int64
    ----
    x: [[1,2,3]]
    BoundExpressions is an abstract class thus cannot be initialized.BoundExpressions.from_substraitSubstraitSchema.to_pysubstrait_serialize_namedstruct_schemaget_supported_functionsdeserialize_expressionsExpected Expression, got 'pyarrow/_substrait.pyxallow_arrow_extensionsSubstraitSchema.__init__serialize_expressionsc_conversion_optionspyarrow._substraitdeserialize_schemacline_in_tracebackasyncio.coroutinesExtendedExpressionrun_query (line 63)c_res_bound_exprsSerializeToStringserialize_schemanamed_table_argsExpected str, got 'BoundExpressionssubstrait.proto__setstate_cython___parse_json_planSubstraitSchemato_pysubstraittable_providerfunctions_listfrom_substraitAttributeError__reduce_cython__c_use_threadsc_id_registryc_bound_exprstable_source<stringsource>py_substrait_is_coroutine_initializingc_res_schemac_res_readerc_res_bufferc_named_exprc_extensionsuse_threadspyarrow.libImportError__pyx_vtable__expressionc_str_planc_buf_planValueErrorFromStringsubstraitrun_query__reduce_ex____pyx_statepy_buffer__metaclass__isenabledfrombytesTypeError__setstate____set_name____qualname__provider' in names' in exprs__getstate__c_schemac_readerc_buffertobytespyarrow__prepare__messagedisableschema__reduce__readername__module__enableBufferrangeprotonamesexprsc_ids__test____spec__selfplan__name____main____init____func__expr__dict__c_idzippop__doc__clsbufgc?.'St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EESt19_Sp_make_shared_tagSt16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EEN5arrow5acero15ExecNodeOptionsEN5arrow5acero22TableSourceNodeOptionsEZN5arrow2py12BindFunctionIFNS_6ResultINS_5acero11DeclarationEEERKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISC_EERKNS_6SchemaEES4_JSG_SJ_EEESt8functionIT_EPFT0_P7_objectDpT1_ESQ_EUlSG_SJ_E_St23_Sp_counted_ptr_inplaceIN5arrow6SchemaESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow5acero22TableSourceNodeOptionsESaIvELN9__gnu_cxx12_Lock_policyE2EESt23_Sp_counted_ptr_inplaceIN5arrow2py13BoundFunctionIFNS0_5acero11DeclarationEP7_objectRKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISD_EERKNS0_6SchemaEEEESaIvELN9__gnu_cxx12_Lock_policyE2EE@;²þÿÄþÿä,þÿ(Бþÿôþÿ	þÿ@	xþÿt	¬þÿ¨	DþÿÔ	¸þÿ
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