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# Licensed to the Apache Software Foundation (ASF) under one
# or more contributor license agreements. See the NOTICE file
# distributed with this work for additional information
# regarding copyright ownership. The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
# "License"); you may not use this file except in compliance
# with the License. You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing,
# software distributed under the License is distributed on an
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
from libcpp.memory cimport shared_ptr
from pyarrow.includes.libarrow cimport (CArray, CDataType, CField,
CRecordBatch, CSchema,
CTable, CTensor,
CSparseCOOTensor, CSparseCSRMatrix,
CSparseCSCMatrix, CSparseCSFTensor)
# You cannot assign something to a dereferenced pointer in Cython thus these
# methods don't use Status to indicate a successful operation.
cdef api bint pyarrow_is_buffer(object buffer):
return isinstance(buffer, Buffer)
cdef api shared_ptr[CBuffer] pyarrow_unwrap_buffer(object buffer):
cdef Buffer buf
if pyarrow_is_buffer(buffer):
buf = <Buffer>(buffer)
return buf.buffer
return shared_ptr[CBuffer]()
cdef api object pyarrow_wrap_buffer(const shared_ptr[CBuffer]& buf):
cdef Buffer result = Buffer.__new__(Buffer)
result.init(buf)
return result
cdef api object pyarrow_wrap_resizable_buffer(
const shared_ptr[CResizableBuffer]& buf):
cdef ResizableBuffer result = ResizableBuffer.__new__(ResizableBuffer)
result.init_rz(buf)
return result
cdef api bint pyarrow_is_data_type(object type_):
return isinstance(type_, DataType)
cdef api shared_ptr[CDataType] pyarrow_unwrap_data_type(
object data_type):
cdef DataType type_
if pyarrow_is_data_type(data_type):
type_ = <DataType>(data_type)
return type_.sp_type
return shared_ptr[CDataType]()
# Workaround for Cython parsing bug
# https://github.com/cython/cython/issues/2143
ctypedef const CPyExtensionType* _CPyExtensionTypePtr
cdef api object pyarrow_wrap_data_type(
const shared_ptr[CDataType]& type):
cdef:
const CExtensionType* ext_type
const CPyExtensionType* cpy_ext_type
DataType out
if type.get() == NULL:
return None
if type.get().id() == _Type_DICTIONARY:
out = DictionaryType.__new__(DictionaryType)
elif type.get().id() == _Type_LIST:
out = ListType.__new__(ListType)
elif type.get().id() == _Type_LARGE_LIST:
out = LargeListType.__new__(LargeListType)
elif type.get().id() == _Type_LIST_VIEW:
out = ListViewType.__new__(ListViewType)
elif type.get().id() == _Type_LARGE_LIST_VIEW:
out = LargeListViewType.__new__(LargeListViewType)
elif type.get().id() == _Type_MAP:
out = MapType.__new__(MapType)
elif type.get().id() == _Type_FIXED_SIZE_LIST:
out = FixedSizeListType.__new__(FixedSizeListType)
elif type.get().id() == _Type_STRUCT:
out = StructType.__new__(StructType)
elif type.get().id() == _Type_SPARSE_UNION:
out = SparseUnionType.__new__(SparseUnionType)
elif type.get().id() == _Type_DENSE_UNION:
out = DenseUnionType.__new__(DenseUnionType)
elif type.get().id() == _Type_TIME32:
out = Time32Type.__new__(Time32Type)
elif type.get().id() == _Type_TIME64:
out = Time64Type.__new__(Time64Type)
elif type.get().id() == _Type_TIMESTAMP:
out = TimestampType.__new__(TimestampType)
elif type.get().id() == _Type_DURATION:
out = DurationType.__new__(DurationType)
elif type.get().id() == _Type_FIXED_SIZE_BINARY:
out = FixedSizeBinaryType.__new__(FixedSizeBinaryType)
elif type.get().id() == _Type_DECIMAL32:
out = Decimal32Type.__new__(Decimal32Type)
elif type.get().id() == _Type_DECIMAL64:
out = Decimal64Type.__new__(Decimal64Type)
elif type.get().id() == _Type_DECIMAL128:
out = Decimal128Type.__new__(Decimal128Type)
elif type.get().id() == _Type_DECIMAL256:
out = Decimal256Type.__new__(Decimal256Type)
elif type.get().id() == _Type_RUN_END_ENCODED:
out = RunEndEncodedType.__new__(RunEndEncodedType)
elif type.get().id() == _Type_EXTENSION:
ext_type = <const CExtensionType*> type.get()
cpy_ext_type = dynamic_cast[_CPyExtensionTypePtr](ext_type)
extension_name = ext_type.extension_name()
if cpy_ext_type != nullptr:
return cpy_ext_type.GetInstance()
elif extension_name == b"arrow.bool8":
out = Bool8Type.__new__(Bool8Type)
elif extension_name == b"arrow.fixed_shape_tensor":
out = FixedShapeTensorType.__new__(FixedShapeTensorType)
elif extension_name == b"arrow.opaque":
out = OpaqueType.__new__(OpaqueType)
elif extension_name == b"arrow.uuid":
out = UuidType.__new__(UuidType)
elif extension_name == b"arrow.json":
out = JsonType.__new__(JsonType)
else:
out = BaseExtensionType.__new__(BaseExtensionType)
else:
out = DataType.__new__(DataType)
out.init(type)
return out
cdef object pyarrow_wrap_metadata(
const shared_ptr[const CKeyValueMetadata]& meta):
if meta.get() == nullptr:
return None
else:
return KeyValueMetadata.wrap(meta)
cdef api bint pyarrow_is_metadata(object metadata):
return isinstance(metadata, KeyValueMetadata)
cdef shared_ptr[const CKeyValueMetadata] pyarrow_unwrap_metadata(object meta):
cdef shared_ptr[const CKeyValueMetadata] c_meta
if pyarrow_is_metadata(meta):
c_meta = (<KeyValueMetadata>meta).unwrap()
return c_meta
cdef api bint pyarrow_is_field(object field):
return isinstance(field, Field)
cdef api shared_ptr[CField] pyarrow_unwrap_field(object field):
cdef Field field_
if pyarrow_is_field(field):
field_ = <Field>(field)
return field_.sp_field
return shared_ptr[CField]()
cdef api object pyarrow_wrap_field(const shared_ptr[CField]& field):
if field.get() == NULL:
return None
cdef Field out = Field.__new__(Field)
out.init(field)
return out
cdef api bint pyarrow_is_schema(object schema):
return isinstance(schema, Schema)
cdef api shared_ptr[CSchema] pyarrow_unwrap_schema(object schema):
cdef Schema sch
if pyarrow_is_schema(schema):
sch = <Schema>(schema)
return sch.sp_schema
return shared_ptr[CSchema]()
cdef api object pyarrow_wrap_schema(const shared_ptr[CSchema]& schema):
cdef Schema out = Schema.__new__(Schema)
out.init_schema(schema)
return out
cdef api bint pyarrow_is_array(object array):
return isinstance(array, Array)
cdef api shared_ptr[CArray] pyarrow_unwrap_array(object array):
cdef Array arr
if pyarrow_is_array(array):
arr = <Array>(array)
return arr.sp_array
return shared_ptr[CArray]()
cdef api object pyarrow_wrap_array(const shared_ptr[CArray]& sp_array):
if sp_array.get() == NULL:
raise ValueError('Array was NULL')
klass = get_array_class_from_type(sp_array.get().type())
cdef Array arr = klass.__new__(klass)
arr.init(sp_array)
return arr
cdef api bint pyarrow_is_chunked_array(object array):
return isinstance(array, ChunkedArray)
cdef api shared_ptr[CChunkedArray] pyarrow_unwrap_chunked_array(object array):
cdef ChunkedArray arr
if pyarrow_is_chunked_array(array):
arr = <ChunkedArray>(array)
return arr.sp_chunked_array
return shared_ptr[CChunkedArray]()
cdef api object pyarrow_wrap_chunked_array(
const shared_ptr[CChunkedArray]& sp_array):
if sp_array.get() == NULL:
raise ValueError('ChunkedArray was NULL')
cdef CDataType* data_type = sp_array.get().type().get()
if data_type == NULL:
raise ValueError('ChunkedArray data type was NULL')
cdef ChunkedArray arr = ChunkedArray.__new__(ChunkedArray)
arr.init(sp_array)
return arr
cdef api bint pyarrow_is_scalar(object value):
return isinstance(value, Scalar)
cdef api shared_ptr[CScalar] pyarrow_unwrap_scalar(object scalar):
if pyarrow_is_scalar(scalar):
return (<Scalar> scalar).unwrap()
return shared_ptr[CScalar]()
cdef api object pyarrow_wrap_scalar(const shared_ptr[CScalar]& sp_scalar):
if sp_scalar.get() == NULL:
raise ValueError('Scalar was NULL')
cdef CDataType* data_type = sp_scalar.get().type.get()
if data_type == NULL:
raise ValueError('Scalar data type was NULL')
if data_type.id() == _Type_NA:
return _NULL
if data_type.id() not in _scalar_classes:
raise ValueError('Scalar type not supported')
klass = get_scalar_class_from_type(sp_scalar.get().type)
cdef Scalar scalar = klass.__new__(klass)
scalar.init(sp_scalar)
return scalar
cdef api bint pyarrow_is_tensor(object tensor):
return isinstance(tensor, Tensor)
cdef api shared_ptr[CTensor] pyarrow_unwrap_tensor(object tensor):
cdef Tensor ten
if pyarrow_is_tensor(tensor):
ten = <Tensor>(tensor)
return ten.sp_tensor
return shared_ptr[CTensor]()
cdef api object pyarrow_wrap_tensor(
const shared_ptr[CTensor]& sp_tensor):
if sp_tensor.get() == NULL:
raise ValueError('Tensor was NULL')
cdef Tensor tensor = Tensor.__new__(Tensor)
tensor.init(sp_tensor)
return tensor
cdef api bint pyarrow_is_sparse_coo_tensor(object sparse_tensor):
return isinstance(sparse_tensor, SparseCOOTensor)
cdef api shared_ptr[CSparseCOOTensor] pyarrow_unwrap_sparse_coo_tensor(
object sparse_tensor):
cdef SparseCOOTensor sten
if pyarrow_is_sparse_coo_tensor(sparse_tensor):
sten = <SparseCOOTensor>(sparse_tensor)
return sten.sp_sparse_tensor
return shared_ptr[CSparseCOOTensor]()
cdef api object pyarrow_wrap_sparse_coo_tensor(
const shared_ptr[CSparseCOOTensor]& sp_sparse_tensor):
if sp_sparse_tensor.get() == NULL:
raise ValueError('SparseCOOTensor was NULL')
cdef SparseCOOTensor sparse_tensor = SparseCOOTensor.__new__(
SparseCOOTensor)
sparse_tensor.init(sp_sparse_tensor)
return sparse_tensor
cdef api bint pyarrow_is_sparse_csr_matrix(object sparse_tensor):
return isinstance(sparse_tensor, SparseCSRMatrix)
cdef api shared_ptr[CSparseCSRMatrix] pyarrow_unwrap_sparse_csr_matrix(
object sparse_tensor):
cdef SparseCSRMatrix sten
if pyarrow_is_sparse_csr_matrix(sparse_tensor):
sten = <SparseCSRMatrix>(sparse_tensor)
return sten.sp_sparse_tensor
return shared_ptr[CSparseCSRMatrix]()
cdef api object pyarrow_wrap_sparse_csr_matrix(
const shared_ptr[CSparseCSRMatrix]& sp_sparse_tensor):
if sp_sparse_tensor.get() == NULL:
raise ValueError('SparseCSRMatrix was NULL')
cdef SparseCSRMatrix sparse_tensor = SparseCSRMatrix.__new__(
SparseCSRMatrix)
sparse_tensor.init(sp_sparse_tensor)
return sparse_tensor
cdef api bint pyarrow_is_sparse_csc_matrix(object sparse_tensor):
return isinstance(sparse_tensor, SparseCSCMatrix)
cdef api shared_ptr[CSparseCSCMatrix] pyarrow_unwrap_sparse_csc_matrix(
object sparse_tensor):
cdef SparseCSCMatrix sten
if pyarrow_is_sparse_csc_matrix(sparse_tensor):
sten = <SparseCSCMatrix>(sparse_tensor)
return sten.sp_sparse_tensor
return shared_ptr[CSparseCSCMatrix]()
cdef api object pyarrow_wrap_sparse_csc_matrix(
const shared_ptr[CSparseCSCMatrix]& sp_sparse_tensor):
if sp_sparse_tensor.get() == NULL:
raise ValueError('SparseCSCMatrix was NULL')
cdef SparseCSCMatrix sparse_tensor = SparseCSCMatrix.__new__(
SparseCSCMatrix)
sparse_tensor.init(sp_sparse_tensor)
return sparse_tensor
cdef api bint pyarrow_is_sparse_csf_tensor(object sparse_tensor):
return isinstance(sparse_tensor, SparseCSFTensor)
cdef api shared_ptr[CSparseCSFTensor] pyarrow_unwrap_sparse_csf_tensor(
object sparse_tensor):
cdef SparseCSFTensor sten
if pyarrow_is_sparse_csf_tensor(sparse_tensor):
sten = <SparseCSFTensor>(sparse_tensor)
return sten.sp_sparse_tensor
return shared_ptr[CSparseCSFTensor]()
cdef api object pyarrow_wrap_sparse_csf_tensor(
const shared_ptr[CSparseCSFTensor]& sp_sparse_tensor):
if sp_sparse_tensor.get() == NULL:
raise ValueError('SparseCSFTensor was NULL')
cdef SparseCSFTensor sparse_tensor = SparseCSFTensor.__new__(
SparseCSFTensor)
sparse_tensor.init(sp_sparse_tensor)
return sparse_tensor
cdef api bint pyarrow_is_table(object table):
return isinstance(table, Table)
cdef api shared_ptr[CTable] pyarrow_unwrap_table(object table):
cdef Table tab
if pyarrow_is_table(table):
tab = <Table>(table)
return tab.sp_table
return shared_ptr[CTable]()
cdef api object pyarrow_wrap_table(const shared_ptr[CTable]& ctable):
cdef Table table = Table.__new__(Table)
table.init(ctable)
return table
cdef api bint pyarrow_is_batch(object batch):
return isinstance(batch, RecordBatch)
cdef api shared_ptr[CRecordBatch] pyarrow_unwrap_batch(object batch):
cdef RecordBatch bat
if pyarrow_is_batch(batch):
bat = <RecordBatch>(batch)
return bat.sp_batch
return shared_ptr[CRecordBatch]()
cdef api object pyarrow_wrap_batch(
const shared_ptr[CRecordBatch]& cbatch):
cdef RecordBatch batch = RecordBatch.__new__(RecordBatch)
batch.init(cbatch)
return batch
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