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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.
classdef tFloat32Array < hNumericArray
% Tests for arrow.array.Float32rray
properties
ArrowArrayClassName = "arrow.array.Float32Array"
ArrowArrayConstructorFcn = @arrow.array.Float32Array.fromMATLAB
MatlabConversionFcn = @single % single method on class
MatlabArrayFcn = @single % single function
MaxValue = realmax("single")
MinValue = realmin("single")
NullSubstitutionValue = single(NaN)
ArrowType = arrow.float32
end
methods(Test)
function InfValues(testCase)
A1 = testCase.ArrowArrayConstructorFcn(single([Inf -Inf]));
data = single(A1);
testCase.verifyEqual(data, single([Inf -Inf]'));
end
function ValidBasic(testCase)
% Create a MATLAB array with one null value (i.e. one NaN).
% Verify NaN is considered a null value by default.
matlabArray = single([1, NaN, 3]');
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
expectedValid = [true, false, true]';
testCase.verifyEqual(arrowArray.Valid, expectedValid);
end
function InferNulls(testCase)
matlabArray = single([1, NaN, 3]);
% Verify NaN is treated as a null value when InferNulls=true.
arrowArray1 = testCase.ArrowArrayConstructorFcn(matlabArray, InferNulls=true);
expectedValid1 = [true false true]';
testCase.verifyEqual(arrowArray1.Valid, expectedValid1);
testCase.verifyEqual(toMATLAB(arrowArray1), matlabArray');
% Verify NaN is not treated as a null value when InferNulls=false.
arrowArray2 = testCase.ArrowArrayConstructorFcn(matlabArray, InferNulls=false);
expectedValid2 = [true true true]';
testCase.verifyEqual(arrowArray2.Valid, expectedValid2);
testCase.verifyEqual(toMATLAB(arrowArray2), matlabArray');
end
function ValidNoNulls(testCase)
% Create a MATLAB array with no null values (i.e. no NaNs).
matlabArray = single([1, 2, 3]');
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
expectedValid = [true, true, true]';
testCase.verifyEqual(arrowArray.Valid, expectedValid);
end
function ValidAllNulls(testCase)
% Create a MATLAB array with all null values (i.e. all NaNs).
matlabArray = single([NaN, NaN, NaN]');
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
expectedValid = [false, false, false]';
testCase.verifyEqual(arrowArray.Valid, expectedValid);
end
function EmptyArrayValidBitmap(testCase)
% Create an empty 0x0 MATLAB array.
matlabArray = single.empty(0, 0);
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
expectedValid = logical.empty(0, 1);
testCase.verifyEqual(arrowArray.Valid, expectedValid);
% Create an empty 0x1 MATLAB array.
matlabArray = single.empty(0, 1);
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
testCase.verifyEqual(arrowArray.Valid, expectedValid);
% Create an empty 1x0 MATLAB array.
matlabArray = single.empty(1, 0);
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
testCase.verifyEqual(arrowArray.Valid, expectedValid);
end
function LogicalValidNVPair(testCase)
matlabArray = single([1 2 3]);
% Supply a logical vector for Valid
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray, Valid=[false; true; true]);
testCase.verifyEqual(arrowArray.Valid, [false; true; true]);
testCase.verifyEqual(toMATLAB(arrowArray), single([NaN; 2; 3]));
end
function NumericValidNVPair(testCase)
matlabArray = single([1 2 3]);
% Supply a numeric vector for Valid
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray, Valid=[1 3]);
testCase.verifyEqual(arrowArray.Valid, [true; false; true]);
testCase.verifyEqual(toMATLAB(arrowArray), single([1; NaN; 3]));
end
function TestNanIsEqualFalse(testCase)
% Verify corresponding NaN values are not considered equal.
matlabArray = single([1 2 NaN 4]);
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray, InferNulls=false);
testCase.verifyFalse(isequal(arrowArray, arrowArray));
end
end
end
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