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__annotations___is_coroutine__module____reduce__Bad call flags for CyFunction<cyfunction %U at %p>%.200s() takes no arguments (%zd given)%.200s() takes exactly one argument (%zd given)%.200s() takes no keyword argumentsunbound method %.200S() needs an argument%.200s() needs an argument_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.
    
SubstraitSchema.__init__(self, schema, expression)SubstraitSchema.to_pysubstrait(self)
Convert the schema to a substrait-python ExtendedExpression object.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.
    _serialize_namedstruct_schema(schema)deserialize_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_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 expressions
    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 schema
        BoundExpressions.__reduce_cython__(self)BoundExpressions.__setstate_cython__(self, __pyx_state)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 schema
    get_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}'
    '.*gc?bufcls__doc__zipc_id__dict__expr__init____main____name__planself__spec____test__c_idsexprsnamesprotorangesuperBufferenable__import____module__namereader__reduce__schemadisablemessage__prepare__pyarrowtobytesc_bufferc_readerc_schema__getstate__' in exprs' in namesprovider__qualname____set_name____setstate__TypeErrorfrombytesisenabled__metaclass__py_buffer__pyx_state__reduce_ex__run_querysubstraitFromStringValueErrorc_buf_planc_str_planexpression__pyx_vtable__ImportErrorpyarrow.libuse_threadsRuntimeErrorc_extensionsc_named_exprc_res_bufferc_res_readerc_res_schema_initializing_is_coroutinepy_substrait<stringsource>table_sourcec_bound_exprsc_id_registryc_use_threads__init_subclass____reduce_cython__AttributeErrorfrom_substraitfunctions_listtable_providerto_pysubstraitSubstraitSchema_parse_json_plan__setstate_cython__substrait.protoBoundExpressionsExpected str, got 'named_table_argsserialize_schemaSerializeToStringc_res_bound_exprsrun_query (line 63)ExtendedExpressionasyncio.coroutinescline_in_tracebackdeserialize_schemapyarrow._substraitc_conversion_optionsserialize_expressionsSubstraitSchema.__init__allow_arrow_extensionspyarrow\_substrait.pyxExpected Expression, got 'deserialize_expressionsget_supported_functions_serialize_namedstruct_schemaSubstraitSchema.to_pysubstraitBoundExpressions.from_substraitBoundExpressions is an abstract class thus cannot be initialized.
    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]]
    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.
    BoundExpressions.__reduce_cython__BoundExpressions.__setstate_cython__Expected 'pyarrow.Buffer' or bytes, got 'The 'substrait' package is required.Time zones are not available from the C-API.exprs and names need to have the same lengthself.c_bound_exprs cannot be converted to a Python object for picklingExpected 'pyarrow.Buffer' or bytes or protobuf Message, got ' 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]]
    _parse_json_planC:\arrow\python\build\temp.win-amd64-cpython-312\_substrait.cpppyarrow\\_substrait.pyx<stringsource>contextvars.pxddatetime.pxdtype.pxdbool.pxdcomplex.pxdpyarrow\\lib.pxdpyarrow\\_compute.pxdpyarrow._substrait._parse_json_plan_cython_3_0_12.cython_function_or_method__init__pyarrow._substrait.SubstraitSchema.__init__to_pysubstrait@ß
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__reduce_cython__pyarrow._substrait.BoundExpressions.__reduce_cython____setstate_cython__pyarrow._substrait.BoundExpressions.__setstate_cython__deserialize_expressionspyarrow._substrait.deserialize_expressionsget_supported_functionsConstructed with a non-error status: pyarrow._substrait.get_supported_functionsschema
        The common schema that all expressions are bound to
        expressions
        A dict from expression name to expression
        pyarrow._substrait.BoundExpressionsBoundExpressions()

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

    This is equivalent to the Substrait ExtendedExpression message
    pyarrow.lib_WeakrefableÀÞ
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builtinstypecomplexdatetimedatetimetimedeltatzinfoIpcWriteOptionsIpcReadOptionsMessageMemoryPoolDataTypeListTypeLargeListTypeListViewTypeLargeListViewTypeMapTypeFixedSizeListTypeStructTypeDictionaryMemoDictionaryTypeTimestampTypeTime32TypeTime64TypeDurationTypeFixedSizeBinaryTypeDecimal32TypeDecimal64TypeDecimal128TypeDecimal256TypeRunEndEncodedTypeBaseExtensionTypeExtensionTypeFixedShapeTensorTypeBool8TypeOpaqueTypeUuidTypeJsonTypePyExtensionType_MetadataKeyValueMetadataFieldSchemaScalarArrayStatistics_PandasConvertibleArrayTensorSparseCSRMatrixSparseCSCMatrixSparseCOOTensorSparseCSFTensorNullArrayBooleanArrayNumericArrayIntegerArrayFloatingPointArrayInt8ArrayUInt8ArrayInt16ArrayUInt16ArrayInt32ArrayUInt32ArrayInt64ArrayUInt64ArrayHalfFloatArrayFloatArrayDoubleArrayFixedSizeBinaryArrayDecimal32ArrayDecimal64ArrayDecimal128ArrayDecimal256ArrayStructArrayBaseListArrayListArrayLargeListArrayListViewArrayLargeListViewArrayMapArrayFixedSizeListArrayUnionArrayStringArrayBinaryArrayStringViewArrayBinaryViewArrayDictionaryArrayExtensionArrayMonthDayNanoIntervalArrayChunkedArray_TabularTableRecordBatchDeviceMemoryManagerBufferResizableBufferNativeFileBufferedInputStreamBufferedOutputStreamCompressedInputStreamCompressedOutputStream_CRecordBatchWriterRecordBatchReaderCacheOptionsCodecStopTokenpyarrow._computeUdfContextFunctionOptions_SortOptionsExpressionarrow::compute::Expression_truePyObject *(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_table_substraitInterpreter change detected - this module can only be loaded into one interpreter per process.name__loader__loader__file__origin__package__parent__path__submodule_search_locationsModule '_substrait' has already been imported. Re-initialisation is not supported.cython_runtime__builtins__pyarrow._substraitstring.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_stringinit pyarrow._substraitstring.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_stringname '%U' is not definedMissing type objectCannot convert %.200s to %.200s while calling a Python objectNULL result without error in PyObject_Callstring too longraise: arg 3 must be a traceback or Noneinstance exception may not have a separate valuecalling %R should have returned an instance of BaseException, not %Rraise: exception class must be a subclass of BaseExceptionexception causes must derive from BaseException%s() got multiple values for keyword argument '%U'%.200s() keywords must be strings%s() got an unexpected keyword argument '%U'exactlys%.200s() takes %.8s %zd positional argument%.1s (%zd given)join() result is too long for a Python stringtoo many values to unpack (expected %zd)need more than %zd value%.1s to unpackvector too long%.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.%.200s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd-%zd from PyObject%s.%s size changed, may indicate binary incompatibility. Expected %zd from C header, got %zd from PyObjectbase 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 typeinvalid vtable found for imported typemultiple bases have vtable conflict: '%.200s' and '%.200s'Unable to initialize pickling for %.200scannot import name %S.No module named '%U'_cython_3_0_12Shared Cython type %.200s is not a type objectShared Cython type %.200s has the wrong size, try recompilingkeywords must be strings'NoneType' object is not subscriptable__name__ must be set to a string objectpyarrow._substrait._create_named_table_provider__qualname__ must be set to a string objectfunction's dictionary may not be deletedsetting function's dictionary to a non-dictrun_query__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 callspyarrow._substrait.run_query__annotations__ must be set to a dict objectfunc_doc__doc__func_name__name____qualname__func_dict__dict__func_globals__globals__func_closure__closure__func_code__code__func_defaults__defaults____kwdefaults__	

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