mirror of
https://github.com/superseriousbusiness/gotosocial.git
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74 lines
2 KiB
Go
74 lines
2 KiB
Go
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//go:build go1.21
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/*
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*
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* Copyright 2024 gRPC authors.
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*
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*/
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// Package grpcrand implements math/rand functions in a concurrent-safe way
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// with a global random source, independent of math/rand's global source.
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package grpcrand
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import "math/rand"
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// This implementation will be used for Go version 1.21 or newer.
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// For older versions, the original implementation with mutex will be used.
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// Int implements rand.Int on the grpcrand global source.
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func Int() int {
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return rand.Int()
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}
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// Int63n implements rand.Int63n on the grpcrand global source.
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func Int63n(n int64) int64 {
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return rand.Int63n(n)
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}
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// Intn implements rand.Intn on the grpcrand global source.
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func Intn(n int) int {
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return rand.Intn(n)
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}
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// Int31n implements rand.Int31n on the grpcrand global source.
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func Int31n(n int32) int32 {
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return rand.Int31n(n)
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}
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// Float64 implements rand.Float64 on the grpcrand global source.
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func Float64() float64 {
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return rand.Float64()
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}
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// Uint64 implements rand.Uint64 on the grpcrand global source.
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func Uint64() uint64 {
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return rand.Uint64()
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}
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// Uint32 implements rand.Uint32 on the grpcrand global source.
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func Uint32() uint32 {
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return rand.Uint32()
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}
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// ExpFloat64 implements rand.ExpFloat64 on the grpcrand global source.
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func ExpFloat64() float64 {
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return rand.ExpFloat64()
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}
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// Shuffle implements rand.Shuffle on the grpcrand global source.
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var Shuffle = func(n int, f func(int, int)) {
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rand.Shuffle(n, f)
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}
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