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...

	HasIWMMXT   bool // Intel Wireless MMX technology support
	HasCRUNCH   bool // MaverickCrunch context switching and handling
	HasTHUMBEE  bool // Thumb EE instruction set
	HasNEON     bool // NEON instruction set
	HasVFPv3    bool // Vector floating point version 3 support
	HasVFPv3D16 bool // Vector floating point version 3 D8-D15
	HasTLS      bool // Thread local storage support

//go:build gc && !purego

#include "textflag.h"

// This implementation of Poly1305 uses the vector facility (vx)
// to process up to 2 blocks (32 bytes) per iteration using an
// algorithm based on the one described in:
//
// NEON crypto, Daniel J. Bernstein & Peter Schwabe
// https://cryptojedi.org/papers/neoncrypto-20120320.pdf
//
// This algorithm uses 5 26-bit limbs to represent a 130-bit
// value. These limbs are, for the most part, zero extended and

TEXT ·p256MovCond(SB),NOSPLIT,$0
	MOVD	res+0(FP), res_ptr
	MOVD	a+8(FP), a_ptr
	MOVD	b+16(FP), b_ptr
	MOVD	cond+24(FP), R3

	CMP	$0, R3
	// Two remarks:
	// 1) Will want to revisit NEON, when support is better
	// 2) CSEL might not be constant time on all ARM processors
	LDP	0*16(a_ptr), (R4, R5)
	LDP	1*16(a_ptr), (R6, R7)
	LDP	2*16(a_ptr), (R8, R9)
	LDP	0*16(b_ptr), (R16, R17)

	doneCh := make(chan struct{}, 1)

	var newN *meshconfig.MeshNetworks
	w.AddNetworksHandler(func() {
		newN = w.Networks()
		close(doneCh)
	})

	// Change the file to trigger the update.
	n.Networks["test"] = &meshconfig.Network{}
	writeMessage(t, path, &n)

	select {
	case <-doneCh:
		g.Expect(newN).To(Equal(&n))
		g.Expect(w.Networks()).To(Equal(newN))
		break
	case <-time.After(time.Second * 5):

	newN := n * 2                         // make it at most 50% full
	newN = 1 << sys.Len64(uint64(newN-1)) // round up to a power of 2

	// Allocate the new table.
	newSize := unsafe.Sizeof(abi.TypeAssertCache{}) + uintptr(newN-1)*unsafe.Sizeof(abi.TypeAssertCacheEntry{})
	newC := (*abi.TypeAssertCache)(mallocgc(newSize, nil, true))
	newC.Mask = uintptr(newN - 1)

   * @param newN the expected number of entries once duplicates are removed
   * @param duplicates a map of canonical {@link Entry} objects for each duplicate key. This map
   *     will be updated by the method, setting each value to false as soon as the {@link Entry} has
   *     been included in the new entry array.
   * @return an array of {@code newN} entries where no key appears more than once.
   */

		// 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

	for level := uint(0); newTreeSize>>(H*level) > 0; level++ {
		oldN := oldTreeSize >> (H * level)
		newN := newTreeSize >> (H * level)
		if oldN == newN {
			continue
		}
		for n := oldN >> H; n < newN>>H; n++ {
			tiles = append(tiles, Tile{H: h, L: int(level), N: n, W: 1 << H})
		}
		n := newN >> H
		if w := int(newN - n<<H); w > 0 {
			tiles = append(tiles, Tile{H: h, L: int(level), N: n, W: w})
		}
	}

ved
fra
du
ut
sin
dem
oss
opp
man
kan
hans
hvor
eller
hva
skal
selv
sjøl
her
alle
vil
bli
ble
blei
blitt
kunne
inn
når
være
kom
noen
noe
ville
dere
som
deres
kun
ja
etter
ned
skulle
denne
for
deg
si
sine
sitt
mot
å
meget
hvorfor
dette
disse
uten
hvordan
ingen
din
ditt