public void TestHypergrid()
{
var dataDim1 = new object[] { "a", "b", false, 2, 5.8, "c " };
var dim0 = new CategoricalDimension("dim0", false, "a", "b", false, 2, 5.8, "c ");
var dim1 = new ContinuousDimension("dim1", 0, 10.2, false, true);
var hypergrid = new Hypergrid("hypergrid", dim0, dim1);
var serialized = OptimizerServiceEncoder.EncodeHypergrid(hypergrid);
var deserialized = OptimizerServiceDecoder.DecodeHypergrid(serialized);
Assert.Equal(deserialized.Name, hypergrid.Name);
Assert.True(deserialized.Dimensions[0] is CategoricalDimension);
Assert.True(deserialized.Dimensions[1] is ContinuousDimension);
Assert.True(
((CategoricalDimension)deserialized.Dimensions[0]).Values.SequenceEqual(
((CategoricalDimension)hypergrid.Dimensions[0]).Values));
Assert.Equal(
((ContinuousDimension)deserialized.Dimensions[1]).Name,
dim1.Name);
Assert.Equal(
((ContinuousDimension)deserialized.Dimensions[1]).Min,
dim1.Min);
Assert.Equal(
((ContinuousDimension)deserialized.Dimensions[1]).Max,
dim1.Max);
Assert.Equal(
((ContinuousDimension)deserialized.Dimensions[1]).IncludeMin,
dim1.IncludeMin);
Assert.Equal(
((ContinuousDimension)deserialized.Dimensions[1]).IncludeMax,
dim1.IncludeMax);
}
private IEnumerator LoadData(string dimensionName)
{
var dataRequestForm = new WWWForm();
dataRequestForm.AddField("dimension", dimensionName);
var dataWebRequest = new WWW(String.Format("{0}:{1}/api/graph/data", Globals.SurfaceServerIp, Globals.SurfaceWebPort), dataRequestForm);
yield return(dataWebRequest);
var response = JsonUtility.FromJson <DataResponse>(dataWebRequest.text);
Dimension dimension;
if (response.isMetric)
{
var metricDimension = new MetricDimension();
metricDimension.PossibleTicks = response.ticks;
metricDimension.IsTimeBased = response.isTimeBased;
metricDimension.TimeFormat = response.timeFormat;
dimension = metricDimension;
}
else
{
var catDimension = new CategoricalDimension();
foreach (var mapping in response.mappings)
{
catDimension.Mappings.Add(new Dimension.Mapping {
Name = mapping.name, Value = mapping.value
});
}
dimension = catDimension;
}
var data = new Dimension.DimData[response.data.Length];
for (var i = 0; i < response.data.Length; i++)
{
// assuming ids are 0 - data.length
data[i].Id = int.Parse(response.data[i].id);
data[i].Value = response.data[i].value;
data[i].IsNull = response.data[i].isNull;
}
dimension.Data = data;
dimension.Name = response.name;
dimension.DisplayName = response.displayName;
dimension.DomainMin = response.domain.min;
dimension.DomainMax = response.domain.max;
dimension.HideTicks = response.hideTicks;
dimension.RebuildData();
foreach (var onDataLoaded in _loadOperations[dimensionName])
{
onDataLoaded(dimension);
}
_loadOperations.Remove(dimensionName);
}
public void TestCategoricalDimension()
{
object[] data = { "str", string.Empty, "cat", false, 9.12 };
var dimension = new CategoricalDimension("Dimension test", data);
var serialized = OptimizerServiceEncoder.EncodeCategoricalDimension(dimension);
var deserialized = OptimizerServiceDecoder.DecodeCategoricalDimension(serialized);
Assert.Equal(deserialized.Name, dimension.Name);
Assert.True(deserialized.Values.SequenceEqual(data));
}
public TestSerializingAndDeserializing()
{
/* FIXME: This needs better cross-plat support and error handling.
* - We should include C:\Python37 as another PYTHONHOME location to look for by default
* - Currently this doesn't handle Linux very well
* - On Ubuntu Python 3.7 needs to be installed from a separate
* repo, which installs as libpython3.7m.so which fails tobe
* found due to the trailing "m".
*/
string pathToVirtualEnv = Environment.GetEnvironmentVariable("PYTHONHOME");
if (string.IsNullOrEmpty(pathToVirtualEnv))
{
pathToVirtualEnv = @"c:\ProgramData\Anaconda3";
}
else
{
Environment.SetEnvironmentVariable("PYTHONHOME", pathToVirtualEnv, EnvironmentVariableTarget.Process);
}
string pathToPythonPkg = $"{pathToVirtualEnv}\\pkgs\\python-3.7.4-h5263a28_0";
Environment.SetEnvironmentVariable("PATH", $"{pathToVirtualEnv};{pathToPythonPkg}", EnvironmentVariableTarget.Process);
Environment.SetEnvironmentVariable("PYTHONPATH", $"{pathToVirtualEnv}\\Lib\\site-packages;{pathToVirtualEnv}\\Lib", EnvironmentVariableTarget.Process);
continuous = new ContinuousDimension(name: "continuous", min: 1, max: 10);
discrete = new DiscreteDimension(name: "discrete", min: 1, max: 10);
ordinal = new OrdinalDimension(name: "ordinal", orderedValues: new List <object>()
{
1, 2, 3, 4, 5, 6, 7, 8, 9, 10
}, ascending: true);
categorical = new CategoricalDimension(name: "categorical", values: new List <object>()
{
1, 2, 3, 4, 5, 6, 7, 8, 9, 10
});
allKindsOfDimensions = new Hypergrid(
name: "all_kinds_of_dimensions",
dimensions: new IDimension[]
{
continuous,
discrete,
ordinal,
categorical,
});
}
public TestSerializingAndDeserializing()
{
string pathToVirtualEnv = Environment.GetEnvironmentVariable("PYTHONHOME");
if (string.IsNullOrEmpty(pathToVirtualEnv))
{
pathToVirtualEnv = @"c:\ProgramData\Anaconda3";
}
else
{
Environment.SetEnvironmentVariable("PYTHONHOME", pathToVirtualEnv, EnvironmentVariableTarget.Process);
}
string pathToPythonPkg = $"{pathToVirtualEnv}\\pkgs\\python-3.7.4-h5263a28_0";
Environment.SetEnvironmentVariable("PATH", $"{pathToVirtualEnv};{pathToPythonPkg}", EnvironmentVariableTarget.Process);
Environment.SetEnvironmentVariable("PYTHONPATH", $"{pathToVirtualEnv}\\Lib\\site-packages;{pathToVirtualEnv}\\Lib", EnvironmentVariableTarget.Process);
continuous = new ContinuousDimension(name: "continuous", min: 1, max: 10);
discrete = new DiscreteDimension(name: "discrete", min: 1, max: 10);
ordinal = new OrdinalDimension(name: "ordinal", orderedValues: new List <object>()
{
1, 2, 3, 4, 5, 6, 7, 8, 9, 10
}, ascending: true);
categorical = new CategoricalDimension(name: "categorical", values: new List <object>()
{
1, 2, 3, 4, 5, 6, 7, 8, 9, 10
});
allKindsOfDimensions = new SimpleHypergrid(
name: "all_kinds_of_dimensions",
dimensions: new List <IDimension>()
{
continuous,
discrete,
ordinal,
categorical,
});
}
public static OptimizerService.CategoricalDimension EncodeCategoricalDimension(CategoricalDimension dimension)
{
var instance = new OptimizerService.CategoricalDimension();
instance.Name = dimension.Name;
instance.Values.AddRange(dimension.Values.Select(value => EncodePrimitiveValue(value)));
return(instance);
}
