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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.
+
+class TestTensor < Test::Unit::TestCase
+ include Helper::Omittable
+
+ def setup
+ @raw_data = [
+ 1, 2,
+ 3, 4,
+
+ 5, 6,
+ 7, 8,
+
+ 9, 10,
+ 11, 12,
+ ]
+ data = Arrow::Buffer.new(@raw_data.pack("c*"))
+ @shape = [3, 2, 2]
+ strides = []
+ names = ["a", "b", "c"]
+ @tensor = Arrow::Tensor.new(Arrow::Int8DataType.new,
+ data,
+ @shape,
+ strides,
+ names)
+ end
+
+ def test_equal
+ data = Arrow::Buffer.new(@raw_data.pack("c*"))
+ strides = []
+ names = ["a", "b", "c"]
+ other_tensor = Arrow::Tensor.new(Arrow::Int8DataType.new,
+ data,
+ @shape,
+ strides,
+ names)
+ assert_equal(@tensor,
+ other_tensor)
+ end
+
+ def test_value_data_type
+ assert_equal(Arrow::Int8DataType, @tensor.value_data_type.class)
+ end
+
+ def test_value_type
+ assert_equal(Arrow::Type::INT8, @tensor.value_type)
+ end
+
+ def test_buffer
+ assert_equal(@raw_data, @tensor.buffer.data.to_s.unpack("c*"))
+ end
+
+ def test_shape
+ require_gi_bindings(3, 3, 1)
+ assert_equal(@shape, @tensor.shape)
+ end
+
+ def test_strides
+ require_gi_bindings(3, 3, 1)
+ assert_equal([4, 2, 1], @tensor.strides)
+ end
+
+ def test_n_dimensions
+ assert_equal(@shape.size, @tensor.n_dimensions)
+ end
+
+ def test_dimension_name
+ dimension_names = @tensor.n_dimensions.times.collect do |i|
+ @tensor.get_dimension_name(i)
+ end
+ assert_equal(["a", "b", "c"],
+ dimension_names)
+ end
+
+ def test_size
+ assert_equal(@raw_data.size, @tensor.size)
+ end
+
+ def test_mutable?
+ assert do
+ not @tensor.mutable?
+ end
+ end
+
+ def test_contiguous?
+ assert do
+ @tensor.contiguous?
+ end
+ end
+
+ def test_row_major?
+ assert do
+ @tensor.row_major?
+ end
+ end
+
+ def test_column_major?
+ assert do
+ not @tensor.column_major?
+ end
+ end
+
+ def test_io
+ buffer = Arrow::ResizableBuffer.new(0)
+ output = Arrow::BufferOutputStream.new(buffer)
+ output.write_tensor(@tensor)
+ input = Arrow::BufferInputStream.new(buffer)
+ assert_equal(@tensor, input.read_tensor)
+ end
+end