//   sweepone, which looks at all the mcentral lists.
//
// * The span reclaimer looks for spans that contain no marked objects
//   and frees whole spans. This is a separate algorithm because
//   freeing whole spans is the hardest task for the object reclaimer,
//   but is critical when allocating new spans. The entry point for
//   this is mheap_.reclaim and it's driven by a sequential scan of
//   the page marks bitmap in the heap arenas.
//

	return a.sortAvailableCPUs()
}

// Sorts the provided list of NUMA nodes/sockets/cores/cpus referenced in 'ids'
// by the number of available CPUs contained within them (smallest to largest).
// The 'getCPU()' parameter defines the function that should be called to
// retrieve the list of available CPUs for the type being referenced. If two
// NUMA nodes/sockets/cores/cpus have the same number of available CPUs, they

	justify-content: space-between;
	max-width: 75rem;
	margin-left: auto;
	margin-right: auto;
	font-size: 0.875rem;
	padding: 0.5rem 0.75rem;
}

/*
 * 1. Value is the largest computed width among 'site-footer__copy' and 'site-footer__links'.
 */
.site-footer__copy,
.site-footer__secondary-links {
	flex-grow: 0;
	flex-basis: 280px;
	/* 1. */
}

/*

=== Optimize repository order

When Gradle resolves dependencies, it searches through each repository in the declared order.
To reduce the time spent searching for dependencies, declare the repository hosting
the largest number of your dependencies first. This minimizes the number of network requests
required to resolve all dependencies.

=== Minimize repository count

// into memory as needed. The leaf summaries of the tree correspond to a bitmap chunk.
//
// The root level (referred to as L0 and index 0 in pageAlloc.summary) has each
// summary represent the largest section of address space (16 GiB on 64-bit systems),
// with each subsequent level representing successively smaller subsections until we
// reach the finest granularity at the leaves, a chunk.
//

				addVW(z[j:], z[j:], c)
			}
		}
	}
}

// karatsubaLen computes an approximation to the maximum k <= n such that
// k = p<<i for a number p <= threshold and an i >= 0. Thus, the
// result is the largest number that can be divided repeatedly by 2 before
// becoming about the value of threshold.
func karatsubaLen(n, threshold int) int {
	i := uint(0)
	for n > threshold {
		n >>= 1
		i++
	}
	return n << i

			// Changes to either Spec or Status are relevant.  The
			// concern is that we might, in some future release, want
			// different behavior than is implemented now. One of the
			// hardest questions is how does an operator roll out the
			// new release in a cluster with multiple kube-apiservers
			// --- in a way that works no matter what servers crash
			// and restart when. If this handler reacts only to

}

def TFL_ArgMaxOp : TFL_Op<"arg_max", [
    QuantizableResult,
    Pure]> {
  let summary = "ArgMax operator";

  let description = [{
    Returns the index with the largest value across dimensions of a tensor.
  }];

  let arguments = (
    ins TFL_TensorOf<[I1, F32, I32, I8, UI8, QI8, QUI8]>:$input,
    TFL_I32OrI64Tensor:$dim
  );

  let results = (outs

  "$0.cast<DenseElementsAttr>().getNumElements() == 1 && "
  "std::abs(*$0.cast<DenseElementsAttr>().getValues<float>().begin()) < "
  # n>>;

// Constraint that the attribute value is negative infinity or negative largest.
// We use both -inf & flt_min due to the forward compatibility.
def ConstAPFloatNegLargestOrNegInfinity : Constraint<CPred<
  "$0.isa<DenseElementsAttr>() && "
  "$0.cast<DenseElementsAttr>().getNumElements() == 1 && "

		z.neg = false
		return z
	}

	// ^x == -x-1 == -(x+1)
	z.abs = z.abs.add(x.abs, natOne)
	z.neg = true // z cannot be zero if x is positive
	return z
}

// Sqrt sets z to ⌊√x⌋, the largest integer such that z² ≤ x, and returns z.
// It panics if x is negative.
func (z *Int) Sqrt(x *Int) *Int {
	if x.neg {
		panic("square root of negative number")
	}
	z.neg = false