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%TFROMMATLAB Unit tests for arrow.array.ListArray's froMATLAB method.
% 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 tFromMATLAB < matlab.unittest.TestCase
methods (Test)
function EmptyCellArrayError(testCase)
% Verify fromMATLAB throws an error whose identifier is
% "MATLAB:validators:mustBeNonempty" if given an empty cell
% array as input.
import arrow.array.ListArray
fcn = @() ListArray.fromMATLAB({});
testCase.verifyError(fcn, "MATLAB:validators:mustBeNonempty");
end
function MustBeCellArrayError(testCase)
% Verify fromMATLAB throws an error whose identifier is
% "MATLAB:validation:UnableToConvert" if the input provided is
% not a cell array.
import arrow.array.ListArray
fcn = @() ListArray.fromMATLAB('a');
testCase.verifyError(fcn, "MATLAB:validation:UnableToConvert");
end
function AllMissingCellArrayError(testCase)
% Verify fromMATLAB throws an error whose identifier is
% "arrow:array:list:CellArrayAllMissing" if given a cell array
% containing only missing values.
import arrow.array.ListArray
C = {missing missing missing};
fcn = @() ListArray.fromMATLAB(C);
testCase.verifyError(fcn, "arrow:array:list:CellArrayAllMissing");
end
function ListOfFloat64(testCase)
% Verify fromMATLAB creates the expected ListArray whose
% Values property is a Float64Array.
import arrow.array.ListArray
C = {[1 2 3], [4 5], missing, [6 7 8], [], [9 10]};
actual = ListArray.fromMATLAB(C);
values = arrow.array(1:10);
offsets = arrow.array(int32([0 3 5 5 8 8 10]));
expected = ListArray.fromArrays(offsets, values, Valid=[1 2 4 5 6]);
testCase.verifyEqual(actual, expected);
end
function ListOfStruct(testCase)
% Verify fromMATLAB creates the expected ListArray whose
% Values property is a StructArray.
import arrow.array.ListArray
Number = (1:10)';
Text = compose("Test%d", (1:10)');
Date = datetime(2023, 11, 2) + days(0:9)';
T = table(Number, Text, Date);
C = {missing, T(1:3, :), T(4, :), T(1:0, :), T(5:10, :), missing};
actual = ListArray.fromMATLAB(C);
values = arrow.array(T);
offsets = arrow.array(int32([0 0 3 4 4 10 10]));
expected = ListArray.fromArrays(offsets, values, Valid=[2 3 4 5]);
testCase.verifyEqual(actual, expected);
end
function ListOfListOfString(testCase)
% Verify fromMATLAB creates the expected ListArray whose
% Values property is a ListArray.
import arrow.array.ListArray
rowOne = {["A" "B"], ["C" "D" "E"] missing};
rowTwo = missing;
rowThree = {"F" ["G" "H" "I"]};
C = {rowOne, rowTwo rowThree};
actual = ListArray.fromMATLAB(C);
stringValues = arrow.array(["A" "B" "C" "D" "E" "F" "G" "H" "I"]);
innerOffsets = arrow.array(int32([0 2 5 5 6 9]));
valuesList = ListArray.fromArrays(innerOffsets, stringValues, Valid=[1 2 4 5]);
outerOffsets = arrow.array(int32([0 3 3 5]));
expected = ListArray.fromArrays(outerOffsets, valuesList, Valid=[1 3]);
testCase.verifyEqual(actual, expected);
end
function OnlyEmptyElement(testCase)
% Create a ListArray containing only empty elements.
import arrow.array.ListArray
emptyDuration = duration.empty(0, 0);
C = {emptyDuration, emptyDuration, emptyDuration, emptyDuration};
actual = ListArray.fromMATLAB(C);
values = arrow.array(duration.empty);
offsets = arrow.array(int32([0 0 0 0 0]));
expected = ListArray.fromArrays(offsets, values);
testCase.verifyEqual(actual, expected);
end
function CellOfEmptyCell(testCase)
% Verify fromMATLAB creates a ListArray whose Values property
% is a StringArray when given a cell array containing just an
% empty cell array.
import arrow.array.ListArray
C = {{}};
actual = ListArray.fromMATLAB(C);
values = arrow.array(string.empty);
offsets = arrow.array(int32([0 0]));
expected = ListArray.fromArrays(offsets, values);
testCase.verifyEqual(actual, expected);
end
function CellOfMatrices(testCase)
% Verify fromMATLAB can handle cell arrays that contain
% matrices instead of just vectors - i.e. the matrices are
% reshaped as column vectors before they are concatenated
% together.
import arrow.array.ListArray
C = {[1 2 3; 4 5 6], [7 8; 9 10], 11};
actual = ListArray.fromMATLAB(C);
values = arrow.array([1 4 2 5 3 6 7 9 8 10 11]);
offsets = arrow.array(int32([0 6 10 11]));
expected = ListArray.fromArrays(offsets, values);
testCase.verifyEqual(actual, expected);
end
function ClassTypeMismatchError(testCase)
% Verify fromMATLAB throws an error whose identifier is
% "arrow:array:list:ClassTypeMismatch" if given a cell array
% containing arrays with different class types.
import arrow.array.ListArray
C = {1, [2 3 4], "A", 5};
fcn = @() ListArray.fromMATLAB(C);
testCase.verifyError(fcn, "arrow:array:list:ClassTypeMismatch");
end
function VariableNamesMismatchError(testCase)
% Verify fromMATLAB throws an error whose identifier is
% "arrow:array:list:VariableNamesMismatch" if given a cell
% array containing tables whose variable names don't match.
import arrow.array.ListArray
C = {table(1, "A"), table(2, "B", VariableNames=["X", "Y"])};
fcn = @() ListArray.fromMATLAB(C);
testCase.verifyError(fcn, "arrow:array:list:VariableNamesMismatch");
end
function ExpectedZonedDatetimeError(testCase)
% Verify fromMATLAB throws an error whose identifier is
% "arrow:array:list:ExpectedZonedDatetime" if given a cell
% array containing zoned and unzoned datetimes - in that order.
import arrow.array.ListArray
C = {datetime(2023, 11, 1, TimeZone="UTC"), datetime(2023, 11, 2)};
fcn = @() ListArray.fromMATLAB(C);
testCase.verifyError(fcn, "arrow:array:list:ExpectedZonedDatetime");
end
function ExpectedUnzonedDatetimeError(testCase)
% Verify fromMATLAB throws an error whose identifier is
% "arrow:array:list:ExpectedUnzonedDatetime" if given a cell
% array containing unzoned and zoned datetimes - in that order.
import arrow.array.ListArray
C = {datetime(2023, 11, 1), datetime(2023, 11, 2, TimeZone="UTC")};
fcn = @() ListArray.fromMATLAB(C);
testCase.verifyError(fcn, "arrow:array:list:ExpectedUnzonedDatetime");
end
end
end
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