// Copyright ©2020 The Gonum Authors. All rights reserved. // Use of this source code is governed by a BSD-style // license that can be found in the LICENSE file. package testrand import ( "math" "math/rand/v2" ) // extreme is a pseudo-random number generator that has high probability of returning extreme values. type extreme struct { probability float64 nanProbability float64 rnd Rand } // newExtreme creates a new extreme pseudo-random generator. // p is the probability of returning an extreme value. // nan is the probability of returning a NaN. func newExtreme(p, nan float64, rnd Rand) *extreme { return &extreme{p, nan, rnd} } // Perm returns a permutation of integers [0, n). func (e *extreme) Perm(n int) []int { return e.rnd.Perm(n) } // Shuffle shuffles n items using the swap callback. func (e *extreme) Shuffle(n int, swap func(i, j int)) { e.rnd.Shuffle(n, swap) } // p returns true when the generator should output an extreme value. func (e *extreme) p() bool { if e.probability <= 0 { return false } return e.rnd.Float64() < e.probability } // nan returns true when the generator should output nan. func (e *extreme) nan() bool { if e.nanProbability <= 0 { return false } return e.rnd.Float64() < e.nanProbability } // ExpFloat64 returns an exponentialy distributed pseudo-random float64 in range (0, math.MaxFloat64]. func (e *extreme) ExpFloat64() float64 { switch { case e.p(): return extremeFloat64Exp[e.rnd.IntN(len(extremeFloat64Exp))] case e.nan(): return math.NaN() } return e.rnd.ExpFloat64() } // Float32 returns a pseudo-random float32 in range [0.0, 1.0). func (e *extreme) Float32() float32 { switch { case e.p(): return extremeFloat32Unit[e.rnd.IntN(len(extremeFloat32Unit))] case e.nan(): return float32(math.NaN()) } return e.rnd.Float32() } // Float64 returns a pseudo-random float64 in range [0.0, 1.0). func (e *extreme) Float64() float64 { switch { case e.p(): return extremeFloat64Unit[e.rnd.IntN(len(extremeFloat64Unit))] case e.nan(): return math.NaN() } return e.rnd.Float64() } // Int returns a non-negative pseudo-random int. func (e *extreme) Int() int { if e.p() { return extremeInt[e.rnd.IntN(len(extremeInt))] } return e.rnd.Int() } // Int32 returns a non-negative pseudo-random int32. func (e *extreme) Int32() int32 { if e.p() { return extremeInt31[e.rnd.IntN(len(extremeInt31))] } return e.rnd.Int32() } // Int32N returns a non-negative pseudo-random int32 from range [0, n). func (e *extreme) Int32N(n int32) int32 { if e.p() { switch rand.IntN(4) { case 0: return 0 case 1: return 1 case 2: return n / 2 case 3: return n - 1 } } return e.rnd.Int32N(n) } // Int64 returns a non-negative pseudo-random int64. func (e *extreme) Int64() int64 { if e.p() { return extremeInt63[e.rnd.IntN(len(extremeInt63))] } return e.rnd.Int64() } // Int64N returns a non-negative pseudo-random int from range [0, n). func (e *extreme) Int64N(n int64) int64 { if e.p() { switch rand.IntN(4) { case 0: return 0 case 1: return 1 case 2: return n / 2 case 3: return n - 1 } } return e.rnd.Int64N(n) } // IntN returns a non-negative pseudo-random int from range [0, n). func (e *extreme) IntN(n int) int { if e.p() { switch rand.IntN(4) { case 0: return 0 case 1: return 1 case 2: return n / 2 case 3: return n - 1 } } return e.rnd.IntN(n) } // NormFloat64 returns a normally distributed pseudo-random float64 in range [-math.MaxFloat64, math.MaxFloat64]. func (e *extreme) NormFloat64() float64 { switch { case e.p(): return extremeFloat64Norm[e.rnd.IntN(len(extremeFloat64Norm))] case e.nan(): return math.NaN() } return e.rnd.NormFloat64() } // Uint32 returns a pseudo-random uint32. func (e *extreme) Uint32() uint32 { if e.p() { return extremeUint32[e.rnd.IntN(len(extremeUint32))] } return e.rnd.Uint32() } // Uint64 returns a pseudo-random uint64. func (e *extreme) Uint64() uint64 { if e.p() { return extremeUint64[e.rnd.IntN(len(extremeUint64))] } return e.rnd.Uint64() } // Uint64N returns a pseudo-random uint64 from range [0, n). func (e *extreme) Uint64N(n uint64) uint64 { if e.p() { switch rand.IntN(4) { case 0: return 0 case 1: return 1 case 2: return n / 2 case 3: return n - 1 } } return e.rnd.Uint64N(n) }