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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, CColumn, CDataType, CField,
CRecordBatch, CSchema,
CTable, CTensor)
# You cannot assign something to a dereferenced pointer in Cython thus these
# methods don't use Status to indicate a successful operation.
cdef public api bint pyarrow_is_buffer(object buffer):
return isinstance(buffer, Buffer)
cdef public 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 public api object pyarrow_wrap_buffer(const shared_ptr[CBuffer]& buf):
cdef Buffer result = Buffer()
result.init(buf)
return result
cdef public api object pyarrow_wrap_resizable_buffer(
const shared_ptr[CResizableBuffer]& buf):
cdef ResizableBuffer result = ResizableBuffer()
result.init_rz(buf)
return result
cdef public api bint pyarrow_is_data_type(object type_):
return isinstance(type_, DataType)
cdef public 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]()
cdef public api object pyarrow_wrap_data_type(
const shared_ptr[CDataType]& type):
cdef:
DataType out
if type.get() == NULL:
return None
if type.get().id() == _Type_DICTIONARY:
out = DictionaryType()
elif type.get().id() == _Type_LIST:
out = ListType()
elif type.get().id() == _Type_STRUCT:
out = StructType()
elif type.get().id() == _Type_UNION:
out = UnionType()
elif type.get().id() == _Type_TIMESTAMP:
out = TimestampType()
elif type.get().id() == _Type_FIXED_SIZE_BINARY:
out = FixedSizeBinaryType()
elif type.get().id() == _Type_DECIMAL:
out = Decimal128Type()
else:
out = DataType()
out.init(type)
return out
cdef public api bint pyarrow_is_field(object field):
return isinstance(field, Field)
cdef public 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 public api object pyarrow_wrap_field(const shared_ptr[CField]& field):
if field.get() == NULL:
return None
cdef Field out = Field()
out.init(field)
return out
cdef public api bint pyarrow_is_schema(object schema):
return isinstance(schema, Schema)
cdef public 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 public api object pyarrow_wrap_schema(const shared_ptr[CSchema]& type):
cdef Schema out = Schema()
out.init_schema(type)
return out
cdef public api bint pyarrow_is_array(object array):
return isinstance(array, Array)
cdef public 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 public api object pyarrow_wrap_array(const shared_ptr[CArray]& sp_array):
if sp_array.get() == NULL:
raise ValueError('Array was NULL')
cdef CDataType* data_type = sp_array.get().type().get()
if data_type == NULL:
raise ValueError('Array data type was NULL')
cdef Array arr = _array_classes[data_type.id()]()
arr.init(sp_array)
return arr
cdef public 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()
arr.init(sp_array)
return arr
cdef public api bint pyarrow_is_tensor(object tensor):
return isinstance(tensor, Tensor)
cdef public 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 public 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()
tensor.init(sp_tensor)
return tensor
cdef public api bint pyarrow_is_column(object column):
return isinstance(column, Column)
cdef public api shared_ptr[CColumn] pyarrow_unwrap_column(object column):
cdef Column col
if pyarrow_is_column(column):
col = <Column>(column)
return col.sp_column
return shared_ptr[CColumn]()
cdef public api object pyarrow_wrap_column(const shared_ptr[CColumn]& ccolumn):
cdef Column column = Column()
column.init(ccolumn)
return column
cdef public api bint pyarrow_is_table(object table):
return isinstance(table, Table)
cdef public 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 public api object pyarrow_wrap_table(const shared_ptr[CTable]& ctable):
cdef Table table = Table()
table.init(ctable)
return table
cdef public api bint pyarrow_is_batch(object batch):
return isinstance(batch, RecordBatch)
cdef public 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 public api object pyarrow_wrap_batch(
const shared_ptr[CRecordBatch]& cbatch):
cdef RecordBatch batch = RecordBatch()
batch.init(cbatch)
return batch