}
	return +1
}

// DivModInt sets q = x / y and r = x % y.
func DivModInt(q, r, x, y *Int) {
	q.doinit()
	r.doinit()
	x.doinit()
	y.doinit()
	C.mpz_tdiv_qr(&q.i[0], &r.i[0], &x.i[0], &y.i[0])
}

// GcdInt sets d to the greatest common divisor of a and b,
// which must be positive numbers.
// If x and y are not nil, GcdInt sets x and y such that d = a*x + b*y.

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

  // The units of total_size depend on is_list and type.
  // (1) If type == TF_ATTR_STRING and is_list == 0
  //     then total_size is the byte size of the string
  //     valued attribute.
  // (2) If type == TF_ATTR_STRING and is_list == 1
  //     then total_size is the cumulative byte size
  //     of all the strings in the list.
  // (3) If type == TF_ATTR_SHAPE and is_list == 0

	AND	$0xff00ff, R2                       // AND	$16711935, R2                   // fb1f80d2fb1fa0f242001b8a
	AND	$0xff00ffff, R1                     // AND	$4278255615, R1                 // fbff9fd21be0bff221001b8a
	ANDS	$0xffff, R2                         // ANDS	$65535, R2                      // 423c40f2
	AND	$0x7fffffff, R3                     // AND	$2147483647, R3                 // 63784092

};
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

namespace tensorflow {

// Set the shapes and types of the output's handle.
//
// The lengths of the arrays pointed to by `shapes`, `ranks`, and `types` must
// all be equal to `num_shapes_and_types`. If `ranks[i] != -1`, (i.e., if the
// rank is known), then it must be equal to the length of `shapes[i]`; if
// `ranks[i] == 1`, then `shapes[i]` may be nullptr.
//

	AND.S	R0@>28, R1           // 601e11e0
	AND	R0<<R1, R2, R3       // 103102e0
	AND	R0>>R1, R2, R3       // 303102e0
	AND	R0->R1, R2, R3       // 503102e0
	AND	R0@>R1, R2, R3       // 703102e0
	AND.S	R0<<R1, R2, R3       // 103112e0
	AND.S	R0>>R1, R2, R3       // 303112e0
	AND.S	R0->R1, R2, R3       // 503112e0
	AND.S	R0@>R1, R2, R3       // 703112e0
	AND	R0<<R1, R2           // 102102e0
	AND	R0>>R1, R2           // 302102e0

# Rules for building and testing new FIPS snapshots.
# For example:
#
#	make v1.2.3.zip
#	make v1.2.3.test
#
# and then if changes are needed, check them into master
# and run 'make v1.2.3.rm' and repeat.
#
# Note that once published a snapshot zip file should never
# be modified. We record the sha256 hashes of the zip files
# in fips140.sum, and the cmd/go/internal/fips140 test checks

// The uncommented cases means they can be handled by assembler
// and they are consistent with disassembler decoding.
// TODO means they cannot be handled by current assembler.

#include "../../../../../runtime/textflag.h"

TEXT asmtest(SB),DUPOK|NOSPLIT,$-8

	AND $(1<<63), R1                           // AND $-9223372036854775808, R1     // 21004192
	ADCW ZR, R8, R10                           // 0a011f1a

  }

  tensorflow::shape_inference::ShapeHandle shape = ic->output(output.index);

  int rank = -1;
  if (ic->RankKnown(shape)) {
    rank = ic->Rank(shape);
  }

  if (num_dims != rank) {
    status->status = InvalidArgument("Expected rank is ", num_dims,
                                     " but actual rank is ", rank);
    return;
  }

  if (num_dims == 0) {
    // Output shape is a scalar.

// This input was created by taking the instruction productions in
// the old assembler's (8a's) grammar and hand-writing complete
// instructions for each rule, to guarantee we cover the same space.

#include "../../../../../runtime/textflag.h"

TEXT foo(SB), DUPOK|NOSPLIT, $0

// LTYPE1 nonrem	{ outcode(int($1), &$2); }
	SETCC	AX
	SETCC	foo+4(SB)

// LTYPE2 rimnon	{ outcode(int($1), &$2); }
	DIVB	AX
	DIVB	foo+4(SB)
	PUSHL	$foo+4(SB)