add unit test

Signed-off-by: Huamin Chen <[email protected]>

pkg/model/estimator/local/xgboost_model_weight_test.go

@@ -0,0 +1,54 @@
+/*
+Copyright 2023.
+
+Licensed 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.
+*/
+
+package local
+
+import (
+	. "github.com/onsi/ginkgo/v2"
+	. "github.com/onsi/gomega"
+)
+
+var _ = Describe("XGBoostModelWeight", func() {
+	var (
+		model                       XGBoostModelWeight
+		usageMetricNames            []string
+		usageMetricValues           [][]float64
+		systemMetaDataFeatureNames  []string
+		systemMetaDataFeatureValues []string
+		expectedOutput, output      []float64
+	)
+
+	BeforeEach(func() {
+		model = XGBoostModelWeight{}
+		usageMetricNames = []string{"metric1", "metric2", "metric3"}
+		usageMetricValues = [][]float64{{1.0, 2.0, 3.0}, {4.0, 5.0, 6.0}}
+		systemMetaDataFeatureNames = []string{"feature1", "feature2"}
+		systemMetaDataFeatureValues = []string{"value1", "value2"}
+		expectedOutput = []float64{1.0, 2.0}
+	})
+
+	It("should return the expected output", func() {
+		output = model.predict(usageMetricNames, usageMetricValues, systemMetaDataFeatureNames, systemMetaDataFeatureValues)
+		Expect(output).To(Equal(expectedOutput))
+	})
+
+	It("should panic when the number of features in the model and usageMetricValues are not equal", func() {
+		usageMetricValues = [][]float64{{1.0, 2.0}, {4.0, 5.0}}
+		Expect(func() {
+			model.predict(usageMetricNames, usageMetricValues, systemMetaDataFeatureNames, systemMetaDataFeatureValues)
+		}).To(Panic())
+	})
+})