// github.com/DangerOnTheRanger/cel-benchmark performed on 16-core Intel Xeon
		// the lowest bucket was based around the 180ns/op figure for BenchmarkAccess,
		// plus some additional leeway to account for the apiserver doing other things
		// the largest bucket was chosen based on the fact that benchmarks indicate the
		// same Xeon running a CEL expression close to the estimated cost limit takes

					78: {CoreID: 38, SocketID: 1, NUMANodeID: 3},
					79: {CoreID: 39, SocketID: 1, NUMANodeID: 3},
				},
			},
			wantErr: false,
		},
		{

			// FAKE Topology from dual xeon gold 6230
			// (see: dual xeon gold 6230).
			// We flip NUMA cells and Sockets to exercise the code.
			// TODO(fromanirh): replace with a real-world topology
			// once we find a suitable one.

			}
			if got := calculateRangeOffset(cidr); got != tt.want {
				t.Errorf("DynamicRangeOffset() = %v, want %v", got, tt.want)
			}
		})
	}
}

// cpu: Intel(R) Xeon(R) CPU E5-2678 v3 @ 2.50GHz
// BenchmarkAllocateNextIPv4
// BenchmarkAllocateNextIPv4-24    	 1175304	       870.9 ns/op	    1337 B/op	      11 allocs/op
func BenchmarkAllocateNextIPv4Size1048574(b *testing.B) {

		s[i] = '0'
	}
}

// Split blocks greater than leafSize Words (or set to 0 to disable recursive conversion)
// Benchmark and configure leafSize using: go test -bench="Leaf"
//
//	8 and 16 effective on 3.0 GHz Xeon "Clovertown" CPU (128 byte cache lines)
//	8 and 16 effective on 2.66 GHz Core 2 Duo "Penryn" CPU
var leafSize int = 8 // number of Word-size binary values treat as a monolithic block

type divisor struct {

			222: {CoreID: 55, SocketID: 3, NUMANodeID: 3},
			162: {CoreID: 55, SocketID: 3, NUMANodeID: 3},
			282: {CoreID: 55, SocketID: 3, NUMANodeID: 3},
		},
	}
	/*
		Topology from dual xeon gold 6230; lscpu excerpt
		CPU(s):              80
		On-line CPU(s) list: 0-79
		Thread(s) per core:  2
		Core(s) per socket:  20
		Socket(s):           2
		NUMA node(s):        4

// 4 workers. This was measured on the following machines.
//
// * MacBookPro with a 4-core Intel Core i7 CPU
// * Linux workstation with 6-core Intel Xeon CPU
// * Linux workstation with 24-core Intel Xeon CPU
//
// It is very likely (though not confirmed) that this workload is limited
// by memory bandwidth. We don't have a good way to determine the number of

		}
	})

	// ~7ms on a 1.6GHz Zeon.
	// Regression test for CL 119360043.
	checkLinear("iface", 10000, func(n int) {
		m := map[I]int{}
		for i := 0; i < n; i++ {
			m[C(i)] = 1
		}
	})

	// ~6ms on a 1.6GHz Zeon.
	checkLinear("int", 10000, func(n int) {
		m := map[int]int{}
		for i := 0; i < n; i++ {
			m[i] = 1
		}
	})

	// ~18ms on a 1.6GHz Zeon.

Articles: English: - author: Stephen Siegert - Neon link: https://neon.tech/blog/deploy-a-serverless-fastapi-app-with-neon-postgres-and-aws-app-runner-at-any-scale title: Deploy a Serverless FastAPI App with Neon Postgres and AWS App Runner at any scale - author: Kurtis Pykes - NVIDIA link: https://developer.nvidia.com/blog/building-a-machine-learning-microservice-with-fastapi/ title: Building a Machine Learning Microservice with FastAPI - author: Ravgeet Dhillon - Twilio link: https://www.tw...

	return a, b
}

// Check generation of arm64 BIC/EON/ORN instructions

func op_bic(x, y uint32) uint32 {
	// arm64:`BIC\t`,-`AND`
	return x &^ y
}

func op_eon(x, y, z uint32, a []uint32, n, m uint64) uint64 {
	// arm64:`EON\t`,-`EOR`,-`MVN`
	a[0] = x ^ (y ^ 0xffffffff)

	// arm64:`EON\t`,-`EOR`,-`MVN`
	a[1] = ^(y ^ z)

	// arm64:`EON\t`,-`XOR`
	a[2] = x ^ ^z

= vendor/github.com/seccomp/libseccomp-golang licensed under: =

Copyright (c) 2015 Matthew Heon <******@****.***>
Copyright (c) 2015 Paul Moore <******@****.***>
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
- Redistributions of source code must retain the above copyright notice,
  this list of conditions and the following disclaimer.