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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 tFloat64Array < hNumericArray
% Tests for arrow.array.Float64Array
properties
ArrowArrayClassName = "arrow.array.Float64Array"
ArrowArrayConstructorFcn = @arrow.array.Float64Array.fromMATLAB
MatlabConversionFcn = @double % double method on class
MatlabArrayFcn = @double % double function
MaxValue = realmax("double")
MinValue = realmin("double")
NullSubstitutionValue = NaN
ArrowType = arrow.float64
end
methods(Test)
function InfValues(testCase)
A1 = testCase.ArrowArrayConstructorFcn([Inf -Inf]);
data = double(A1);
testCase.verifyEqual(data, [Inf -Inf]');
end
function ErrorIfSparse(testCase)
fcn = @() testCase.ArrowArrayConstructorFcn(sparse(ones([10 1])));
testCase.verifyError(fcn, "arrow:array:Sparse");
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 = [1, NaN, 3]';
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
expectedValid = [true, false, true]';
testCase.verifyEqual(arrowArray.Valid, expectedValid);
end
function InferNulls(testCase)
matlabArray = [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 = [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 = [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 = double.empty(0, 0);
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
expectedValid = logical.empty(0, 1);
testCase.verifyEqual(arrowArray.Valid, expectedValid);
% Create an empty 0x1 MATLAB array.
matlabArray = double.empty(0, 1);
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
testCase.verifyEqual(arrowArray.Valid, expectedValid);
% Create an empty 1x0 MATLAB array.
matlabArray = double.empty(1, 0);
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray);
testCase.verifyEqual(arrowArray.Valid, expectedValid);
end
function LogicalValidNVPair(testCase)
matlabArray = [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), [NaN; 2; 3]);
end
function NumericValidNVPair(testCase)
matlabArray = [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), [1; NaN; 3]);
end
function TestNanIsEqualFalse(testCase)
% Verify corresponding NaN values are not considered equal.
matlabArray = [1 2 NaN 4];
arrowArray = testCase.ArrowArrayConstructorFcn(matlabArray, InferNulls=false);
testCase.verifyFalse(isequal(arrowArray, arrowArray));
end
end
end
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