mirror of
https://github.com/navidrome/navidrome.git
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51 lines
1.1 KiB
Go
51 lines
1.1 KiB
Go
package utils
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import (
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. "github.com/onsi/ginkgo/v2"
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. "github.com/onsi/gomega"
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)
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var _ = Describe("WeightedRandomChooser", func() {
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var w *WeightedChooser
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BeforeEach(func() {
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w = NewWeightedRandomChooser()
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for i := 0; i < 10; i++ {
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w.Add(i, i)
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}
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})
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It("removes a random item", func() {
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Expect(w.Size()).To(Equal(10))
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_, err := w.GetAndRemove()
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Expect(err).ToNot(HaveOccurred())
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Expect(w.Size()).To(Equal(9))
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})
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It("returns the sole item", func() {
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w = NewWeightedRandomChooser()
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w.Add("a", 1)
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Expect(w.GetAndRemove()).To(Equal("a"))
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})
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It("fails when trying to choose from empty set", func() {
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w = NewWeightedRandomChooser()
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w.Add("a", 1)
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w.Add("b", 1)
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Expect(w.GetAndRemove()).To(BeElementOf("a", "b"))
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Expect(w.GetAndRemove()).To(BeElementOf("a", "b"))
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_, err := w.GetAndRemove()
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Expect(err).To(HaveOccurred())
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})
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It("chooses based on weights", func() {
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counts := [10]int{}
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for i := 0; i < 200000; i++ {
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c, _ := w.weightedChoice()
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counts[c] = counts[c] + 1
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}
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for i := 0; i < 9; i++ {
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Expect(counts[i]).To(BeNumerically("<", counts[i+1]))
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}
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})
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})
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