peacock-data-public-datasets-idc-cronscript
/
venv
/lib
/python3.10
/site-packages
/pyarrow
/tests
/pyarrow_cython_example.pyx
# 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. | |
# distutils: language=c++ | |
# cython: language_level = 3 | |
from pyarrow.lib cimport * | |
def get_array_length(obj): | |
# An example function accessing both the pyarrow Cython API | |
# and the Arrow C++ API | |
cdef shared_ptr[CArray] arr = pyarrow_unwrap_array(obj) | |
if arr.get() == NULL: | |
raise TypeError("not an array") | |
return arr.get().length() | |
def make_null_array(length): | |
# An example function that returns a PyArrow object without PyArrow | |
# being imported explicitly at the Python level. | |
cdef shared_ptr[CArray] null_array | |
null_array.reset(new CNullArray(length)) | |
return pyarrow_wrap_array(null_array) | |
def cast_scalar(scalar, to_type): | |
cdef: | |
shared_ptr[CScalar] c_scalar | |
shared_ptr[CDataType] c_type | |
CCastOptions cast_options | |
CDatum c_datum | |
CResult[CDatum] c_cast_result | |
c_scalar = pyarrow_unwrap_scalar(scalar) | |
if c_scalar.get() == NULL: | |
raise TypeError("not a scalar") | |
c_type = pyarrow_unwrap_data_type(to_type) | |
if c_type.get() == NULL: | |
raise TypeError("not a type") | |
c_datum = CDatum(c_scalar) | |
cast_options = CCastOptions() | |
cast_options.to_type = c_type | |
c_cast_result = Cast(c_datum, cast_options) | |
c_datum = GetResultValue(c_cast_result) | |
return pyarrow_wrap_scalar(c_datum.scalar()) | |