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arrow-nightlies / pyarrow python
Repository URL to install this package:
|
Version:
22.0.0.dev96 ▾
|
pyarrow
/
_substrait.cpython-313-x86_64-linux-musl.so
|
|---|
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HÃëHÃë£èþÿHß茝þÿPXà Shared Cython type %.200s is not a type object Shared Cython type %.200s has the wrong size, try recompiling %s() got an unexpected keyword argument '%U' %.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. PyObject *(std::shared_ptr< arrow::Buffer> const &) PyObject *(std::shared_ptr< arrow::Schema> const &) std::shared_ptr< arrow::Buffer> (PyObject *) std::shared_ptr< arrow::Table> (PyObject *) %.200s does not export expected C variable %.200s C 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' %.200s() takes %.8s %zd positional argument%.1s (%zd given) invalid vtable found for imported type join() result is too long for a Python string while calling a Python object NULL result without error in PyObject_Call unbound 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 object changes to cyfunction.__defaults__ will not currently affect the values used in function calls __kwdefaults__ must be set to a dict object changes to cyfunction.__kwdefaults__ will not currently affect the values used in function calls function's dictionary may not be deleted setting function's dictionary to a non-dict instance exception may not have a separate value raise: exception class must be a subclass of BaseException calling %R should have returned an instance of BaseException, not %R pyarrow._substrait.BoundExpressions.schema.__get__ pyarrow._substrait.BoundExpressions.__reduce_cython__ pyarrow._substrait.BoundExpressions.__init__ pyarrow._substrait.SubstraitSchema.__init__ pyarrow._substrait.BoundExpressions.__setstate_cython__ pyarrow._substrait.BoundExpressions.from_substrait string.from_py.__pyx_convert_string_from_py_6libcpp_6string_std__in_string pyarrow._substrait.serialize_schema pyarrow._substrait.get_supported_functions string.to_py.__pyx_convert_PyBytes_string_to_py_6libcpp_6string_std__in_string pyarrow._substrait.SubstraitSchema.to_pysubstrait Unable to initialize pickling for %.200s Module '_substrait' has already been imported. Re-initialisation is not supported. compile time Python version %d.%d of module '%.100s' %s runtime version %d.%d 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' pyarrow._substrait.BoundExpressions.expressions.__get__ pyarrow._substrait._serialize_namedstruct_schema pyarrow._substrait._parse_json_plan Cannot convert %.200s to %.200s pyarrow._substrait.deserialize_schema 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 'NoneType' object is not subscriptable pyarrow._substrait._create_named_table_provider _cython_3_1_3.cython_function_or_method _cython_3_1_3._common_types_metatype pyarrow._substrait.BoundExpressions BoundExpressions()
A collection of named expressions and the schema they are bound to
This is equivalent to the Substrait ExtendedExpression message
The common schema that all expressions are bound to
A dict from expression name to expression
Constructed with a non-error status: Unknown exception _cython_3_1_3 <cyfunction %U at %p> cannot import name %S __pyx_capi__ __loader__ loader __file__ origin __package__ parent __path__ submodule_search_locations name '%U' is not defined Bad call flags for CyFunction pyarrow.lib pyarrow_wrap_buffer pyarrow_wrap_schema pyarrow_unwrap_buffer pyarrow_unwrap_table pyarrow._compute _true arrow::compute::Expression exactly needs an argument %.200s() %s takes no keyword arguments takes no arguments %.200s() %s (%zd given) takes exactly one argument keywords must be strings pyarrow/_substrait.pyx __reduce_cython__ <stringsource> __init__ __setstate_cython__ from_substrait to_pysubstrait builtins cython_runtime __builtins__ does not match _Weakrefable type bool complex datetime date timedelta tzinfo IpcWriteOptions IpcReadOptions Message MemoryPool DataType LargeListType LargeListViewType MapType FixedSizeListType StructType DictionaryMemo DictionaryType TimestampType Time32Type Time64Type DurationType FixedSizeBinaryType Decimal32Type Decimal64Type Decimal128Type Decimal256Type RunEndEncodedType BaseExtensionType FixedShapeTensorType Bool8Type OpaqueType UuidType JsonType _Metadata KeyValueMetadata Field Schema Scalar ArrayStatistics _PandasConvertible SparseCSRMatrix SparseCSCMatrix SparseCOOTensor SparseCSFTensor NullArray BooleanArray NumericArray IntegerArray FloatingPointArray UInt8Array UInt16Array UInt32Array UInt64Array HalfFloatArray DoubleArray FixedSizeBinaryArray Decimal32Array Decimal64Array Decimal128Array Decimal256Array StructArray BaseListArray LargeListArray LargeListViewArray MapArray FixedSizeListArray UnionArray StringArray StringViewArray BinaryViewArray DictionaryArray ExtensionArray MonthDayNanoIntervalArray ChunkedArray _Tabular Table RecordBatch Device MemoryManager ResizableBuffer NativeFile BufferedInputStream BufferedOutputStream CompressedInputStream CompressedOutputStream _CRecordBatchWriter RecordBatchReader CacheOptions Codec StopToken UdfContext FunctionOptions _SortOptions init pyarrow._substrait _serialize_namedstruct_schema _parse_json_plan Missing type object pyarrow._substrait.run_query deserialize_schema deserialize_expressions __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 get_supported_functions basic_string::append vector::_M_realloc_insert þÿ<þÿ^þÿþÿ¢þÿǂþÿìþÿþÿ6þÿ[þÿþÿ 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) 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 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 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_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 pickling exprs and names need to have the same length The '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]]
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