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// _ _
// __ _____ __ ___ ___ __ _| |_ ___
// \ \ /\ / / _ \/ _` \ \ / / |/ _` | __/ _ \
// \ V V / __/ (_| |\ V /| | (_| | || __/
// \_/\_/ \___|\__,_| \_/ |_|\__,_|\__\___|
//
// Copyright © 2016 - 2024 Weaviate B.V. All rights reserved.
//
// CONTACT: [email protected]
//
package traverser
// TODO: do we still need this? there is no more spark support with 0.20.x
// func Test_ParamsHashing(t *testing.T) {
// params := func() AggregateParams {
// return AggregateParams{
// Analytics: filters.AnalyticsProps{UseAnalyticsEngine: true},
// ClassName: schema.ClassName("MyBestClass"),
// Filters: nil,
// Kind: kind.Thing,
// Properties: []AggregateProperty{
// AggregateProperty{
// Name: schema.PropertyName("bestprop"),
// Aggregators: []Aggregator{CountAggregator},
// },
// },
// }
// }
// hash := func() string { return "a71e85e0741fccd63b33281b26270d43" }
// t.Run("it generates a hash", func(t *testing.T) {
// p := params()
// h, err := p.AnalyticsHash()
// require.Nil(t, err)
// assert.Equal(t, h, hash())
// })
// t.Run("it generates the same hash if analytical props are changed", func(t *testing.T) {
// p := params()
// p.Analytics.ForceRecalculate = true
// h, err := p.AnalyticsHash()
// require.Nil(t, err)
// assert.Equal(t, hash(), h)
// })
// t.Run("it generates a different hash if a prop is changed", func(t *testing.T) {
// p := params()
// p.Properties[0].Aggregators[0] = MaximumAggregator
// h, err := p.AnalyticsHash()
// require.Nil(t, err)
// assert.NotEqual(t, hash(), h)
// })
// t.Run("it generates a different hash if where filter is added", func(t *testing.T) {
// p := params()
// p.Filters = &filters.LocalFilter{Root: &filters.Clause{Value: &filters.Value{Value: "foo"}}}
// h, err := p.AnalyticsHash()
// require.Nil(t, err)
// assert.NotEqual(t, hash(), h)
// })
// }
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