</p>

<pre>
const (
	bit0, mask0 = 1 &lt;&lt; iota, 1&lt;&lt;iota - 1  // bit0 == 1, mask0 == 0  (iota == 0)
	bit1, mask1                           // bit1 == 2, mask1 == 1  (iota == 1)
	_, _                                  //                        (iota == 2, unused)
	bit3, mask3                           // bit3 == 8, mask3 == 7  (iota == 3)
)
</pre>

<p>

        GetI64ElementsAttr({new_size, new_size}, &rewriter));
    Value masked =
        rewriter.create<SelectOp>(op.getLoc(), reshaped_input.getType(),
                                  compare, reshaped_input, zero_matrix);
    auto reduce = rewriter.create<ReduceOp>(op.getLoc(), masked, zero,
                                            GetI64ElementsAttr({0}, &rewriter),

	// the address of the first word referenced by mask.
	addr uintptr

	// mask is a bitmask where each bit corresponds to pointer-words after addr.
	// Bit 0 is the pointer-word at addr, Bit 1 is the next word, and so on.
	// If a bit is 1, then there is a pointer at that word.
	// nextFast and next mask out bits in this mask as their pointers are processed.
	mask uintptr

	badEncoding = encoding{encode: func(*instruction) uint32 { return 0 }, validate: func(*obj.Link, *instruction) {}, length: 0}
)

// encodings contains the encodings for RISC-V instructions.
// Instructions are masked with obj.AMask to keep indices small.
var encodings = [ALAST & obj.AMask]encoding{

	// Unprivileged ISA

	// 2.4: Integer Computational Instructions
	AADDI & obj.AMask:  iIEncoding,

</p>

<pre>
const (
	bit0, mask0 = 1 &lt;&lt; iota, 1&lt;&lt;iota - 1  // bit0 == 1, mask0 == 0  (iota == 0)
	bit1, mask1                           // bit1 == 2, mask1 == 1  (iota == 1)
	_, _                                  //                        (iota == 2, unused)
	bit3, mask3                           // bit3 == 8, mask3 == 7  (iota == 3)
)
</pre>

<p>

				`cidr("2001:db8::/32").containsCIDR(cidr("2001:db8::/33"))`,
				`type(cidr("2001:db8::/32").ip()) == net.IP`,
				`cidr('192.168.0.0/24') == cidr('192.168.0.0/24').masked()`,
				`cidr('192.168.0.0/16').prefixLength() == 16`,
				`cidr('::1/128').ip().family() == 6`,
			},
		},
	}

	for i := range tests {
		i := i
		t.Run(tests[i].name, func(t *testing.T) {

}

// ProcMountType defines the type of proc mount
type ProcMountType string

const (
	// DefaultProcMount uses the container runtime defaults for readonly and masked
	// paths for /proc.  Most container runtimes mask certain paths in /proc to avoid
	// accidental security exposure of special devices or information.
	DefaultProcMount ProcMountType = "Default"

        copyAccessEntry(original, newEntry);
        copyWriteEntry(original, newEntry);
        return newEntry;
      }
    };

    // Masks used to compute indices in the following table.

    static final int ACCESS_MASK = 1;
    static final int WRITE_MASK = 2;
    static final int WEAK_MASK = 4;

    /** Look-up table for factories. */

// Special-case bit patterns on first/last bit.
// generic.rules changes ANDs of high-part/low-part masks into a couple of shifts,
// for instance:
//    x & 0xFFFF0000 -> (x >> 16) << 16
//    x & 0x80000000 -> (x >> 31) << 31
//
// In case the mask is just one bit (like second example above), it conflicts
// with the above rules to detect bit-testing / bit-clearing of first/last bit.

 * If you use masked losses with Keras the loss values may be different in TensorFlow `2.12` compared to previous versions.
 * In cases where the mask was previously ignored, you will now get an error if you pass a mask with an incompatible shape.

### Major Features and Improvements

`tf.keras`: