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arrow-nightlies / pyarrow python
Repository URL to install this package:
|
Version:
18.0.0.dev17 ▾
|
pyarrow
/
_substrait.cpython-38-aarch64-linux-gnu.so
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|---|
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© ù `B©ڽÿ ù`Ã<<N<¡ ´Y µ @¹ ¹àªbb*@ùøa&@ù" Õÿc¢A9s¢9¿ëúÿTõ[B©àªóSA©÷cC©ùkD©ý{ŨÀ_Ö ÒÜÿÿ! R, çÿÿø¶M¿ÿôª÷cC©àªóSA©ý{ŨÀ_Ö½ÿó ªàª£¾ÿાÿàª÷¼ÿÿë` Tàª÷¾ÿûÿÿ"@ùó ªa ´àª¤½ÿàª6¿ÿíÿÿó ªàª¾ÿéÿÿó ªéÿÿ¾ÿó ªh¾ÿàª.¾ÿ Õ_$ÕÐ °[9p 4 à¸À_Öð * ü_ 1ü¯ÿÿ5À_Öý{¿©ý ý{hÀ_Ö%.200s() needs an argument %.200s() takes no keyword arguments %.200s() takes exactly one argument (%zd given) Unknown exception %.200s() takes no arguments (%zd given) Bad call flags for CyFunction <cyfunction %U at %p> cannot import name %S __pyx_capi__ %.200s does not export expected C function %.200s C 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 keywords must be strings unbound method %.200S() needs an argument %.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 PyObject %.200s() keywords must be strings %s() got an unexpected keyword argument '%U' join() result is too long for a Python string while calling a Python object NULL result without error in PyObject_Call invalid vtable found for imported type __annotations__ must be set to a dict object __name__ must be set to a string object __qualname__ must be set to a string object __kwdefaults__ must be set to a dict object changes to cyfunction.__kwdefaults__ will not currently affect the values used in function calls __defaults__ must be set to a tuple object changes to cyfunction.__defaults__ will not currently affect the values used in function calls name '%U' is not defined function's dictionary may not be deleted setting function's dictionary to a non-dict '%.200s' object has no attribute '%U' pyarrow.lib _Weakrefable base class '%.200s' is not a heap type extension 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 multiple bases have vtable conflict: '%.200s' and '%.200s' Unable to initialize pickling for %.200s %s() got multiple values for keyword argument '%U' pyarrow/_substrait.pyx pyarrow._substrait.BoundExpressions.schema.__get__ <stringsource> Module '_substrait' has already been imported. Re-initialisation is not supported. builtins cython_runtime __builtins__ does not match pyarrow._substrait compile time Python version %d.%d of module '%.100s' %s runtime version %d.%d _cython_3_0_10 Shared Cython type %.200s is not a type object Shared Cython type %.200s has the wrong size, try recompiling type bool complex datetime date time timedelta tzinfo IpcWriteOptions IpcReadOptions Message MemoryPool DataType ListType LargeListType ListViewType LargeListViewType MapType FixedSizeListType StructType DictionaryMemo DictionaryType TimestampType Time32Type Time64Type DurationType FixedSizeBinaryType Decimal128Type Decimal256Type RunEndEncodedType BaseExtensionType ExtensionType FixedShapeTensorType PyExtensionType _Metadata KeyValueMetadata Field Schema Scalar _PandasConvertible Tensor SparseCSRMatrix SparseCSCMatrix SparseCOOTensor SparseCSFTensor NullArray BooleanArray NumericArray IntegerArray FloatingPointArray Int8Array UInt8Array Int16Array UInt16Array Int32Array UInt32Array Int64Array UInt64Array HalfFloatArray FloatArray DoubleArray FixedSizeBinaryArray Decimal128Array Decimal256Array StructArray BaseListArray ListArray LargeListArray ListViewArray LargeListViewArray MapArray FixedSizeListArray UnionArray StringArray BinaryArray StringViewArray BinaryViewArray DictionaryArray ExtensionArray MonthDayNanoIntervalArray ChunkedArray _Tabular Table RecordBatch Device MemoryManager Buffer ResizableBuffer NativeFile BufferedInputStream BufferedOutputStream CompressedInputStream CompressedOutputStream _CRecordBatchWriter RecordBatchReader CacheOptions Codec StopToken pyarrow._compute UdfContext FunctionOptions _SortOptions _true %.200s does not export expected C variable %.200s arrow::compute::Expression C variable %.200s.%.200s has wrong signature (expected %.500s, got %.500s) PyObject *(std::shared_ptr< arrow::Buffer> const &) pyarrow_wrap_buffer PyObject *(std::shared_ptr< arrow::Schema> const &) pyarrow_wrap_schema std::shared_ptr< arrow::Buffer> (PyObject *) pyarrow_unwrap_buffer std::shared_ptr< arrow::Table> (PyObject *) pyarrow_unwrap_table init pyarrow._substrait string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_string pyarrow._substrait.get_supported_functions string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_string instance exception may not have a separate value calling %R should have returned an instance of BaseException, not %R raise: exception class must be a subclass of BaseException exactly __init__ %.200s() takes %.8s %zd positional argument%.1s (%zd given) pyarrow._substrait.BoundExpressions.__init__ __reduce_cython__ pyarrow._substrait.BoundExpressions.__reduce_cython__ pyarrow._substrait.BoundExpressions.__setstate_cython__ __setstate_cython__ pyarrow._substrait.BoundExpressions.expressions.__get__ Uninitialized Result<T> pyarrow._substrait._parse_json_plan _parse_json_plan run_query Missing type object Cannot convert %.200s to %.200s pyarrow._substrait.run_query serialize_expressions too many values to unpack (expected %zd) need more than %zd value%.1s to unpack pyarrow._substrait.serialize_expressions pyarrow._substrait.BoundExpressions.wrap pyarrow._substrait.deserialize_expressions deserialize_expressions 'NoneType' object is not subscriptable pyarrow._substrait._create_named_table_provider _cython_3_0_10.cython_function_or_method __reduce__ __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_coroutine pyarrow._substrait.BoundExpressions BoundExpressions()
A collection of named expressions and the schema they are bound to
This is equivalent to the Substrait ExtendedExpression message
schema
The common schema that all expressions are bound to
expressions
A dict from expression name to expression
get_supported_functions
#.9DOZep BoundExpressions BoundExpressions.__reduce_cython__ BoundExpressions.__setstate_cython__ BoundExpressions is an abstract class thus cannot be initialized. Buffer
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 Expression, got ' Expected 'pyarrow.Buffer' or bytes, got ' Expected str, got ' RuntimeError Time zones are not available from the C-API. TypeError ValueError ? ' . allow_arrow_extensions asyncio.coroutines buf c_bound_exprs c_buf_plan c_buffer c_conversion_options c_id c_id_registry c_ids c_named_expr c_reader c_res_bound_exprs c_res_buffer c_res_reader c_str_plan c_use_threads cline_in_traceback deserialize_expressions disable enable expr exprs exprs and names need to have the same length frombytes functions_list gc get_supported_functions __getstate__ __import__ ' in exprs ' in names _is_coroutine isenabled __main__ __name__ name named_table_args names _parse_json_plan plan provider py_buffer pyarrow pyarrow._substrait pyarrow/_substrait.pyx pyarrow.lib __pyx_state __pyx_vtable__ range reader __reduce__ __reduce_cython__ __reduce_ex__ run_query run_query (line 56) schema self self.c_bound_exprs cannot be converted to a Python object for pickling serialize_expressions __setstate__ __setstate_cython__ <stringsource> table_provider table_source __test__ tobytes use_threads zip 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}'
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
BoundExpressions.__setstate_cython__(self, __pyx_state) BoundExpressions.__reduce_cython__(self) 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
_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]]
Constructed with a non-error status: basic_string::append vector::_M_realloc_insert St11_Mutex_baseILN9__gnu_cxx12_Lock_policyE2EE St19_Sp_make_shared_tag St16_Sp_counted_baseILN9__gnu_cxx12_Lock_policyE2EE N5arrow5acero15ExecNodeOptionsE N5arrow5acero22TableSourceNodeOptionsE ZN5arrow2py12BindFunctionIFNS_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_policyE2EE St23_Sp_counted_ptr_inplaceIN5arrow5acero22TableSourceNodeOptionsESaIvELN9__gnu_cxx12_Lock_policyE2EE St23_Sp_counted_ptr_inplaceIN5arrow2py13BoundFunctionIFNS0_5acero11DeclarationEP7_objectRKSt6vectorINSt7__cxx1112basic_stringIcSt11char_traitsIcESaIcEEESaISD_EERKNS0_6SchemaEEEESaIvELN9__gnu_cxx12_Lock_policyE2EE @ ;D лþÿÄ è»þÿ ¾þÿ8 °¾þÿè <Âþÿ dÃþÿÔ Äþÿ 4Åþÿ4 ÀÆþÿ<
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