import org.gradle.internal.time.Time
import org.slf4j.Logger
import org.slf4j.LoggerFactory
import spock.lang.Specification

class Slf4jLoggingConfigurerTest extends Specification {
    Logger logger = LoggerFactory.getLogger("cat1")
    OutputEventListener listener = Mock()
    Slf4jLoggingConfigurer configurer = new Slf4jLoggingConfigurer(listener)

    def cleanup() {

  %cst0 = mhlo.constant dense<[1.0, 2.0, 3.0, 4.0]> : tensor<4xf32>
  %cst1 = mhlo.constant dense<[[[[1.0, 2.0, 3.0, 4.0], [5.0, 6.0, 7.0, 8.0]]]]> : tensor<1x1x2x4xf32>
  %0 = "mhlo.broadcast_in_dim"(%cst0) <{broadcast_dimensions = dense<3> : tensor<1xi64>}> : (tensor<4xf32>) -> tensor<1x1x2x4xf32>
  %1 = mhlo.multiply %0, %cst1 : tensor<1x1x2x4xf32>
  // CHECK:      return %[[RES]] : tensor<1x1x2x4xf32>

  // CHECK-DAG: %[[CST1:.*]] =  "tf.Const"() <{value = dense<[8, 6, 6, 18]> : tensor<4xi64>}> : () -> tensor<4xi64>
  // CHECK: %[[RESHAPE:.*]] = "tf.Reshape"(%arg0, %[[CST]]) : (tensor<1x8x1x1x1x1x1x18xbf16>, tensor<4xi64>) -> tensor<8x1x1x18xbf16>
  // CHECK: %[[BROADCAST:.*]] = "tf.BroadcastTo"(%[[RESHAPE]], %[[CST1]]) : (tensor<8x1x1x18xbf16>, tensor<4xi64>) -> tensor<8x6x6x18xbf16>

    def "file access tracker delegates to both trackers"() {
        def fat1 = Mock(FileAccessTracker)
        def fat2 = Mock(FileAccessTracker)

        when:
        twoStageStore.getFileAccessTracker().markAccessed(file)

        then:
        1 * readStore.getFileAccessTracker() >> fat1
        1 * writeStore.getFileAccessTracker() >> fat2
        1 * fat1.markAccessed(file)
        1 * fat2.markAccessed(file)
    }

func.func @splat_scalar_no_change() -> (tensor<f32>, tensor<i32>) {
  // CHECK-NOT: mhlo.broadcast_in_dim
  %cst0 = mhlo.constant dense<0.000000e+00> : tensor<f32>
  %cst1 = mhlo.constant dense<0> : tensor<i32>
  func.return %cst0, %cst1 : tensor<f32>, tensor<i32>

func.func @mixed_no_constant_folding() -> (tensor<f32>) {
  // CHECK:      %[[CST0:.+]] = arith.constant dense<0.000000e+00>
  // CHECK-NEXT: %[[CST1:.+]] = arith.constant dense<0.000000e+00>
  // CHECK-NEXT: "vhlo.add_v1"(%[[CST0]], %[[CST1]]) : (tensor<f32>, tensor<f32>) -> tensor<f32>
  %cst_0 = arith.constant dense<0.000000e+00> : tensor<f32>
  %cst_1 = arith.constant dense<0.000000e+00> : tensor<f32>

// This pattern optimizes:
//   (x + cst1) + cst2 -> x + cst
//   (x - cst1) - cst2 -> x - cst
// Where: cst = cst1 + cst2
foreach BinaryOp = [TF_AddV2Op, TF_SubOp] in {
  def OptimizeConsecutive#BinaryOp : Pat<
    (BinaryOp
      (BinaryOp $x, (TF_ConstOp:$cst1 $cst1_value)),
      (TF_ConstOp:$cst2 $cst2_value)),
    (BinaryOp
      $x, (TF_AddV2Op $cst1, $cst2))>;
}

// This pattern optimizes:

    Map<String, Integer> unfiltered = createUnfiltered();
    unfiltered.put("cat", 3);
    unfiltered.put("dog", 2);
    unfiltered.put("horse", 5);
    Map<String, Integer> filtered = Maps.filterEntries(unfiltered, CORRECT_LENGTH);
    assertEquals(ImmutableMap.of("cat", 3, "horse", 5), filtered);

    filtered.put("chicken", 7);
    assertEquals(ImmutableMap.of("cat", 3, "horse", 5, "chicken", 7), filtered);

    try {

error_count=0
while true ; do
  status=$(curl -w '%{http_code}\n' -s -o ${temp_json_file} "http://localhost:8080/api/v1/health")
  cat ${temp_json_file}
  if [[ x"${status}" = x200 ]] ; then
    break
  else
    error_count=$((error_count + 1))
  fi
  if [[ ${error_count} -ge 60 ]] ; then
    echo "Fess is not available."
    cat ${temp_log_file} ./fess-*/logs/*.log
    exit 1
  fi
  sleep 1
done

pushd /tmp >/dev/null

// CHECK-EMPTY:
// CHECK-NEXT:          },
// CHECK-NEXT:          has_rank: true
// CHECK-NEXT:        }, {
// CHECK-NEXT:          shape: [ 4, 5 ],
// CHECK-NEXT:          buffer: 2,
// CHECK-NEXT:          name: "cast1",
// CHECK-NEXT:          quantization: {
// CHECK-EMPTY:
// CHECK-NEXT:          },
// CHECK-NEXT:          has_rank: true
// CHECK-NEXT:        }, {
// CHECK-NEXT:          shape: [ 4, 5 ],