// Licensed to the .NET Foundation under one or more agreements.
// The .NET Foundation licenses this file to you under the MIT license.
// See the LICENSE file in the project root for more information.
 
using System.Linq;
using Microsoft.ML.Data;
using Microsoft.ML.RunTests;
using Xunit;
using Xunit.Abstractions;
 
namespace Microsoft.ML.Tests
{
    public class RangeFilterTests : TestDataPipeBase
    {
        public RangeFilterTests(ITestOutputHelper helper) : base(helper)
        {
        }
 
        [Fact]
        public void RangeFilterTest()
        {
            var builder = new ArrayDataViewBuilder(ML);
            builder.AddColumn("Strings", new[] { "foo", "bar", "baz" });
            builder.AddColumn("Floats", NumberDataViewType.Single, new float[] { 1, 2, 3 });
            var data = builder.GetDataView();
 
            var data1 = ML.Data.FilterRowsByColumn(data, "Floats", upperBound: 2.8);
            var cnt = data1.GetColumn<float>(data1.Schema["Floats"]).Count();
            Assert.Equal(2L, cnt);
 
            data = ML.Transforms.Conversion.Hash("Key", "Strings", numberOfBits: 20).Fit(data).Transform(data);
            var data2 = ML.Data.FilterRowsByKeyColumnFraction(data, "Key", upperBound: 0.15);
            cnt = data2.GetColumn<float>(data.Schema["Floats"]).Count();
            Assert.Equal(1L, cnt);
        }
    }
}