//     at least one empty line after g and before the next node
//   - g starts before n and is not associated to the node before n
//     via the previous rules
//
// NewCommentMap tries to associate a comment group to the "largest"
// node possible: For instance, if the comment is a line comment
// trailing an assignment, the comment is associated with the entire
// assignment rather than just the last operand in the assignment.

- **MinIO creates erasure-coding sets of _2_ to _16_ drives per set.  The number of drives you provide in total must be a multiple of one of those numbers.**
- **MinIO chooses the largest EC set size which divides into the total number of drives or total number of nodes given - making sure to keep the uniform distribution i.e each node participates equal number of drives per set**.

	if h.freqcache == nil {
		// Allocate a reusable buffer with the longest possible frequency table.
		// Possible lengths are codegenCodeCount, offsetCodeCount and maxNumLit.
		// The largest of these is maxNumLit, so we allocate for that case.
		h.freqcache = make([]literalNode, maxNumLit+1)
	}
	list := h.freqcache[:len(freq)+1]
	// Number of non-zero literals
	count := 0

			}
		}
		// move all of bx's values to c (note containing loop excludes c)
		for _, v := range bx.Values {
			v.Block = c
		}
	}

	// Compute the total number of values and find the largest value slice in the run, to maximize chance of storage reuse.
	total := 0
	totalBeforeMax := 0 // number of elements preceding the maximum block (i.e. its position in the result).
	max_b := b          // block with maximum capacity

			//
			// This logic is equivalent to the logic in
			// cmd/compile/internal/types/size.go:calcStructOffset
			return 8
		}

		// spec: "For a variable x of struct type: unsafe.Alignof(x)
		// is the largest of the values unsafe.Alignof(x.f) for each
		// field f of x, but at least 1."
		max := int64(1)
		for _, f := range t.fields {
			if a := s.Alignof(f.typ); a > max {
				max = a
			}
		}
		return max

		Precedence: 40,
		Label:      1,
	},
}

// Classify returns the policyTableEntry of the entry with the longest
// matching prefix that contains ip.
// The table t must be sorted from largest mask size to smallest.
func (t policyTable) Classify(ip netip.Addr) policyTableEntry {
	// Prefix.Contains() will not match an IPv6 prefix for an IPv4 address.
	if ip.Is4() {
		ip = netip.AddrFrom16(ip.As16())
	}

	// by 51, and add it to the limb above it. The top carry is multiplied by 19
	// according to the reduction identity and added to the lowest limb.
	//
	// The largest coefficient (r0) will be at most 111 bits, which guarantees
	// that all carries are at most 111 - 51 = 60 bits, which fits in a uint64.
	//
	//     r0 = a0×b0 + 19×(a1×b4 + a2×b3 + a3×b2 + a4×b1)

Gradle's build cache can be very useful in reducing CI infrastructure cost and feedback time, but it usually has the biggest impact when developers can reuse cached results in their local builds. This is also the hardest to quantify for a number of reasons:

* developers run different builds
* developers can have different hardware, or have different settings
* developers run all kinds of other things on their machines that can slow them down