nt":"bottom","showLegend":true},"tooltip":{"mode":"multi","sort":"none"}},"pluginVersion":"10.1.5","targets":[{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"process_virtual_memory_bytes{app=\"istiod\"}","format":"time_series","instant":false,"intervalFactor":2,"legendFormat":"Virtual Memory","refId":"I","step":2},{"datasource":{"type":"prometheus","uid":"${datasource}"},"expr":"process_resident_memory_bytes{app=\"istiod\"}","format":"time_series","intervalFactor":2,"legendFormat":"Resident...

Fontanella De Santis author_link: https://dev.to/ link: https://dev.to/teresafds/authorization-on-fastapi-with-casbin-41og title: Authorization on FastAPI with Casbin - author: New Relic author_link: https://newrelic.com link: https://newrelic.com/instant-observability/fastapi/e559ec64-f765-4470-a15f-1901fcebb468 title: How to monitor FastAPI application performance using Python agent - author: Jean-Baptiste Rocher author_link: https://hashnode.com/@jibrocher link: https://dev.indooroutdoor.io/ser...

		return true
	}
	p := getg().m.p.ptr()
	selfTime := p.gcFractionalMarkTime + (now - p.gcMarkWorkerStartTime)
	// Add some slack to the utilization goal so that the
	// fractional worker isn't behind again the instant it exits.
	return float64(selfTime)/float64(delta) > 1.2*gcController.fractionalUtilizationGoal
}

var work workType

type workType struct {
	full  lfstack          // lock-free list of full blocks workbuf

// in a fabricated location with the given zone abbreviation and a zero offset.
// This choice means that such a time can be parsed and reformatted with the
// same layout losslessly, but the exact instant used in the representation will
// differ by the actual zone offset. To avoid such problems, prefer time layouts
// that use a numeric zone offset, or use [ParseInLocation].
func Parse(layout, value string) (Time, error) {

          <type>String</type>
        </field>
        <field>
          <name>properties</name>
          <version>3.0.0+</version>
          <description>Properties about the contributor, such as an instant messenger handle.</description>
          <type>Properties</type>
          <association xml.mapStyle="inline">
            <type>String</type>
            <multiplicity>*</multiplicity>
          </association>

  %in = arith.constant dense<0.0> : tensor<8xf32>
  %min = arith.constant dense<0.0> : tensor<f32>
  %max = arith.constant dense<255.0> : tensor<f32>
  %rst = "tf.FakeQuantWithMinMaxVars"(%in, %min, %max) {num_bits = 5, narrow_range = false} : (tensor<8xf32>, tensor<f32>, tensor<f32>) -> tensor<8xf32>
  func.return %rst : tensor<8xf32>

// CHECK: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<8xf32>

  %in = arith.constant dense<0.0> : tensor<8xf32>
  %min = arith.constant dense<0.0> : tensor<f32>
  %max = arith.constant dense<15.0> : tensor<f32>
  %rst = "tf.FakeQuantWithMinMaxVars"(%in, %min, %max) {num_bits = 3, narrow_range = false} : (tensor<8xf32>, tensor<f32>, tensor<f32>) -> tensor<8xf32>
  func.return %rst : tensor<8xf32>

// CHECK: %[[CONSTANT:.*]] = arith.constant dense<0.000000e+00> : tensor<8xf32>

func ExampleCompare() {
	vs := []constant.Value{
		constant.MakeString("Z"),
		constant.MakeString("bacon"),
		constant.MakeString("go"),
		constant.MakeString("Frame"),
		constant.MakeString("defer"),
		constant.MakeFromLiteral(`"a"`, token.STRING, 0),
	}

	slices.SortFunc(vs, func(a, b constant.Value) int {
		if constant.Compare(a, token.LSS, b) {
			return -1
		}
		if constant.Compare(a, token.GTR, b) {
			return +1

  %0 = arith.constant dense<8> : tensor<i32>
  %1 = arith.constant dense<1> : tensor<i32>

  %2 = arith.constant dense< 4> : tensor<4xi32>
  %3 = arith.constant dense<-2> : tensor<4xi32>

  // CHECK-DAG: %[[CST:.*]] = arith.constant dense<9> : tensor<i32>
  // CHECK-DAG: %[[CST_0:.*]]  = arith.constant dense<6> : tensor<4xi32>
  // CHECK-DAG: %[[CST_1:.*]]  = arith.constant dense<5> : tensor<4xi32>

    layerStats = dense<[-1.28e-5, 1.27e-5]> : tensor<2xf32>
  } : (tensor<1x5x5x2xf32>) -> tensor<1x5x5x2xf32>
  %w = arith.constant dense<[[[[-1.0, 1.0]]], [[[1.0, 2.0]]], [[[-2.0, 1.0]]]]> : tensor<3x1x1x2xf32>
  %b = arith.constant dense<0.0> : tensor<3xf32>
  %b2 = arith.constant dense<[1.0e-2, 2.1473647e1, -2.1473647e2]> : tensor<3xf32>
  %conv = "tfl.conv_2d"(%0, %w, %b) {