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# or more contributor license agreements. See the NOTICE file | |
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# 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 | |
# | |
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# software distributed under the License is distributed on an | |
# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY | |
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# under the License. | |
import pytest | |
import pyarrow as pa | |
# Marks all of the tests in this module | |
# Ignore these with pytest ... -m 'not nonumpy' | |
pytestmark = pytest.mark.nonumpy | |
def test_array_to_np(): | |
arr = pa.array(range(10)) | |
msg = "Cannot return a numpy.ndarray if NumPy is not present" | |
with pytest.raises(ImportError, match=msg): | |
arr.to_numpy() | |
def test_chunked_array_to_np(): | |
data = pa.chunked_array([ | |
[1, 2, 3], | |
[4, 5, 6], | |
[] | |
]) | |
msg = "Cannot return a numpy.ndarray if NumPy is not present" | |
with pytest.raises(ImportError, match=msg): | |
data.to_numpy() | |
def test_tensor_to_np(): | |
tensor_type = pa.fixed_shape_tensor(pa.int32(), [2, 2]) | |
arr = [[1, 2, 3, 4], [10, 20, 30, 40], [100, 200, 300, 400]] | |
storage = pa.array(arr, pa.list_(pa.int32(), 4)) | |
tensor_array = pa.ExtensionArray.from_storage(tensor_type, storage) | |
tensor = tensor_array.to_tensor() | |
msg = "Cannot return a numpy.ndarray if NumPy is not present" | |
with pytest.raises(ImportError, match=msg): | |
tensor.to_numpy() | |