software distributed under the License is distributed on an
"AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
KIND, either express or implied.  See the License for the
specific language governing permissions and limitations
under the License.
-->

<project>
  <modelVersion>4.0.0</modelVersion>
  <groupId>gid</groupId>
  <artifactId>aid</artifactId>
  <version>0.1</version>

    <dependencies>
      <dependency>

	ADDV	$0xfffffffffffffc21, R4		// ADDV	$-991, R4			// 8484f002
	ADDV	$0xfffffffffffffc21, R5, R4	// ADDV	$-991, R5, R4			// a484f002

	// AND C_SCON, [r1], r2
	AND	$0x321, R4			// AND	$801, R4			// 84844c03
	AND	$0x321, R5, R4			// AND	$801, R5, R4			// a4844c03

	// [X]{VSLL/VSRL/VSRA/VROTR}{B,H,W,V} instructions
	VSLLB		V1, V2, V3	// 4304e870
	VSLLH		V1, V2, V3	// 4384e870

        },
        "indonesian_stop": {
          "type":       "stop",

        },
        "indonesian_stop": {
          "type":       "stop",

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...

	POPCNT	R3, R4                // b9e10043

	AND	R1, R2                // b9800021
	AND	R1, R2, R3            // b9e42031
	AND	$-2, R1               // a517fffe
	AND	$-65536, R1           // c01bffff0000
	AND	$1, R1                // c0a100000001b980001a
	ANDW	R1, R2                // 1421
	ANDW	R1, R2, R3            // b9f42031
	ANDW	$1, R1                // c01b00000001
	ANDW	$131071, R1           // a5160001

abstract: TensorFlow is a machine learning system that operates at large scale and in heterogeneous environments. TensorFlow uses dataflow graphs to represent computation, shared state, and the operations that mutate that state. It maps the nodes of a dataflow graph across many machines in a cluster, and within a machine across multiple computational devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives...

    assertEvalsToFalse(Predicates.and(FALSE, NEVER_REACHED));
  }

  public void testAnd_equalityBinary() {
    new EqualsTester()
        .addEqualityGroup(Predicates.and(TRUE, NEVER_REACHED), Predicates.and(TRUE, NEVER_REACHED))
        .addEqualityGroup(Predicates.and(NEVER_REACHED, TRUE))
        .addEqualityGroup(Predicates.and(TRUE))
        .addEqualityGroup(Predicates.or(TRUE, NEVER_REACHED))

// Copyright 2018 The Go Authors. All rights reserved.
// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

TEXT errors(SB),$0
	AND	$1, RSP                                          // ERROR "illegal source register"
	ANDS	$1, R0, RSP                                      // ERROR "illegal combination"
	ADDSW	R7->32, R14, R13                                 // ERROR "shift amount out of range 0 to 31"

    assertEvalsToFalse(Predicates.and(FALSE, NEVER_REACHED));
  }

  public void testAnd_equalityBinary() {
    new EqualsTester()
        .addEqualityGroup(Predicates.and(TRUE, NEVER_REACHED), Predicates.and(TRUE, NEVER_REACHED))
        .addEqualityGroup(Predicates.and(NEVER_REACHED, TRUE))
        .addEqualityGroup(Predicates.and(TRUE))
        .addEqualityGroup(Predicates.or(TRUE, NEVER_REACHED))