Subtract copies of [x] and [y] as needed in step 6 (both [u] and [v] // are odd) so coefficients stay in bounds. // 4. Replace the [u >= v] check with [u > v]. This changes the end // condition to [v = 0] rather than [u = 0]. This saves an extra // subtraction due to which coefficients were negated. // 5. Rename x and y to a and n, to capture that one is a modulus. // 6. Rearrange steps 4 through 6 slightly. Merge the loops in steps 4 and // 5 into the main loop (step 7's goto), and move step 6 to the...

    * Additionally, LiteRT code base will decouple from TensorFlow repository, and `tf.lite` will be removed in future TensorFlow Python package. More details to follow in future release notes.

pkg io, method (*OffsetWriter) WriteAt([]uint8, int64) (int, error) #45899
pkg io, method (*OffsetWriter) Write([]uint8) (int, error) #45899
pkg io, type OffsetWriter struct #45899
pkg math/rand, func Read //deprecated #20661
pkg math/rand, func Seed //deprecated #56319
pkg net, const FlagRunning = 32 #53482
pkg net, const FlagRunning Flags #53482
pkg net/http, func NewResponseController(ResponseWriter) *ResponseController #54136

	PAND (BX), X2                           // 660fdb13
	PAND (R11), X2                          // 66410fdb13
	PAND X2, X2                             // 660fdbd2
	PAND X11, X2                            // 66410fdbd3
	PAND (BX), X11                          // 66440fdb1b
	PAND (R11), X11                         // 66450fdb1b
	PAND X2, X11                            // 66440fdbda