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test_transform.py
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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 pyiceberg_core import bucket_transform
import pytest
import pyarrow as pa
def test_bucket_pyarrow_array():
arr = pa.array([1, 2])
result = bucket_transform(arr, 10)
expected = pa.array([6, 2], type=pa.int32())
assert result == expected
def test_bucket_pyarrow_array_list_type_fails():
arr = pa.array([[1, 2], [3, 4]])
with pytest.raises(
ValueError,
match=r"FeatureUnsupported => Unsupported data type for bucket transform",
):
bucket_transform(arr, 10)
def test_bucket_chunked_array():
chunked = pa.chunked_array([pa.array([1, 2]), pa.array([3, 4])])
result_chunks = []
for arr in chunked.iterchunks():
result_chunks.append(bucket_transform(arr, 10))
expected = pa.chunked_array(
[pa.array([6, 2], type=pa.int32()), pa.array([5, 0], type=pa.int32())]
)
assert pa.chunked_array(result_chunks).equals(expected)