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

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)

	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.
   */

	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})
		}
	}

Shubhendu <******@****.***> 1715701387 +0530

* Validate **các cấu trúc phức tạp**:
    * Sử dụng các models Pydantic phân tầng, `List` và `Dict` của Python `typing`,...
    * Và các validators cho phép các cấu trúc dữ liệu phức tạp trở nên rõ ràng và dễ dàng để định nghĩa, kiểm tra và tài liệu hóa thành JSON Schema.

<div style="text-align: right; margin-right: 10%;">Deon Pillsbury - <strong>Cisco</strong> <a href="https://www.linkedin.com/posts/deonpillsbury_cisco-cx-python-activity-6963242628536487936-trAp/" target="_blank"><small>(ref)</small></a></div>

---

	// riscv64: "OR","SLLI","SRLI",-"AND"
	a += x<<6 + x>>2

	// amd64:"ROLB\t[$]7"
	// riscv64: "OR","SLLI","SRLI",-"AND"
	a += x<<7 ^ x>>1

	return a
}

// ----------------------- //
//    non-const rotates    //
// ----------------------- //

func rot64nc(x uint64, z uint) uint64 {
	var a uint64

	z &= 63

	// amd64:"ROLQ",-"AND"
	// arm64:"ROR","NEG",-"AND"