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%TNUMERIC Unit tests for arrow.internal.validate.index.numeric
% 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 tNumeric < matlab.unittest.TestCase
methods (Test)
function NonPositiveError(testCase)
% Verify numeric() throws an error whose identifier is
% "arrow:badsubscript:NonPositive" if the index array provided
% has non-positive values.
import arrow.internal.validate.index.numeric
errid = "arrow:badsubscript:NonPositive";
fcn = @() numeric(0, "int32");
testCase.verifyError(fcn, errid);
fcn = @() numeric(-1, "int32");
testCase.verifyError(fcn, errid);
fcn = @() numeric([1 -1 2], "int32");
testCase.verifyError(fcn, errid);
end
function NonIntegerError(testCase)
% Verify numeric() throws an error whose identifier is
% "arrow:badsubscript:NonInteger" if the index array provided
% has non-integer values.
import arrow.internal.validate.index.numeric
errid = "arrow:badsubscript:NonInteger";
fcn = @() numeric(1.1, "int32");
testCase.verifyError(fcn, errid);
fcn = @() numeric(NaN, "int32");
testCase.verifyError(fcn, errid);
fcn = @() numeric(inf, "int32");
testCase.verifyError(fcn, errid);
fcn = @() numeric([1 1.2 2], "int32");
testCase.verifyError(fcn, errid);
end
function NonRealError(testCase)
% Verify numeric() throws an error whose identifier is
% "arrow:badsubscript:NonReal" if the index array is
% complex.
import arrow.internal.validate.index.numeric
errid = "arrow:badsubscript:NonReal";
fcn = @() numeric(1 + 1i, "int32");
testCase.verifyError(fcn, errid);
fcn = @() numeric([1 2 + 2i], "int32");
testCase.verifyError(fcn, errid);
end
function ExceedsIntMaxError(testCase)
% Verify numeric() throws an error whose identifier is
% "arrow:badsubscript:ExceedsIntMax" if the index array
% provided has values that exceed the intmax(intType).
import arrow.internal.validate.index.numeric
errid = "arrow:badsubscript:ExceedsIntMax";
fcn = @() numeric(flintmax("double"), "int32");
testCase.verifyError(fcn, errid);
fcn = @() numeric([1 flintmax("double")], "int32");
testCase.verifyError(fcn, errid);
end
function CastToIntType(testCase)
% Verify numeric() returns an index array of the provided
% intType if the index array is valid.
import arrow.internal.validate.index.numeric
original = [1 2 3 4];
expected = int32(original)';
actual = numeric(original, "int32");
testCase.verifyEqual(actual, expected);
original = uint32([1 2 3 4]);
expected = int64(original)';
actual = numeric(original, "int64");
testCase.verifyEqual(actual, expected);
end
function ConvertSparseToFullStorage(testCase)
% Verify numeric() converts sparse index arrays into full
% storage arrays.
import arrow.internal.validate.index.numeric
original = sparse([1 2 3 4]);
expected = int32(full(original))';
actual = numeric(original, "int32");
testCase.verifyEqual(actual, expected);
end
function ErrorIfNonNumeric(testCase)
% Verify numeric() throws an error whose identifier is
% "arrow:badsubscript:NonNumeric" if provided a non-numeric
% array as the index.
import arrow.internal.validate.index.numeric
fcn = @() numeric(false, "int32");
testCase.verifyError(fcn, "arrow:badsubscript:NonNumeric");
end
function OutputShape(testCase)
% Verify numeric() always returns a column vector.
import arrow.internal.validate.index.numeric
% Provide a 2x2 matrix
original = int32([1 2; 3 4]);
expected = int32([1 3 2 4])';
actual = numeric(original, "int32");
testCase.verifyEqual(actual, expected);
% Provide a 1x3 vector
original = int32([1 2 3]);
expected = int32([1 2 3])';
actual = numeric(original, "int32");
testCase.verifyEqual(actual, expected);
% Provide a 3x1 vector
original = int32([1 2 3])';
expected = int32([1 2 3])';
actual = numeric(original, "int32");
testCase.verifyEqual(actual, expected);
% Provide a 2x2x2 N-dimensional array
original = int8(reshape(1:8, 2, 2, 2));
expected = int32(1:8)';
actual = numeric(original, "int32");
testCase.verifyEqual(actual, expected);
end
function AllowNonScalarTrue(testCase)
% Verify numeric() behaves as expected provided
% AllowNonScalar=true.
import arrow.internal.validate.index.numeric
% Provide a nonscalar array
original = [1 2 3]';
expected = int32([1 2 3])';
actual = numeric(original, "int32", AllowNonScalar=true);
testCase.verifyEqual(actual, expected);
% Provide a scalar array
original = 1;
expected = int32(1);
actual = numeric(original, "int32", AllowNonScalar=true);
testCase.verifyEqual(actual, expected);
end
function AllowNonScalarFalse(testCase)
% Verify numeric() behaves as expected when provided
% AllowNonScalar=false.
import arrow.internal.validate.index.numeric
% Should throw an error when provided a nonscalar double array
original = [1 2 3]';
fcn = @() numeric(original, "int32", AllowNonScalar=false);
testCase.verifyError(fcn, "arrow:badsubscript:NonScalar");
% Should not throw an error when provided a scalar double array
original = 1;
expected = int32(1);
actual = numeric(original, "int32", AllowNonScalar=true);
testCase.verifyEqual(actual, expected);
end
end
end
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