// ```
//
// No matter which of the three exponent forms is used, no quantity may represent
// a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal
// places. Numbers larger or more precise will be capped or rounded up.
// (E.g.: 0.1m will rounded up to 1m.)
// This may be extended in the future if we require larger or smaller quantities.
//

//  3. Inconsistent validation.  Because the usages are different, the validation rules are different by usage, which makes it hard for users to predict what will happen.
//  4. The fields are both imprecise and overly precise.  Kind is not a precise mapping to a URL. This can produce ambiguity
//     during interpretation and require a REST mapping.  In most cases, the dependency is on the group,resource tuple

            : computeSuperTypesWithoutRecursiveCaching(type);

        // Keep just classes in the `org.gradle.` package. If we ever allow 3rd party plugins to contribute instrumentation,
        // we would need to be more precise and actually check if types are instrumented.
        return superTypes.stream()
            .filter(superType -> superType.startsWith(GRADLE_CORE_PACKAGE_PREFIX))
            .collect(Collectors.toSet());
    }

  // Run another shape inference pass because resource decomposition might have
  // created new partial types. Also, after dropping `shape_invariant` attribute
  // from While/WhileRegion ops within cluster would lead to more precise
  // shapes.
  pm.addPass(mlir::TF::CreateTFShapeInferencePass());
  pm.addNestedPass<FuncOp>(mlir::createCanonicalizerPass());
  pm.addPass(mlir::TFTPU::CreateTPUClusterCleanupAttributesPass());

// ```
//
// No matter which of the three exponent forms is used, no quantity may represent
// a number greater than 2^63-1 in magnitude, nor may it have more than 3 decimal
// places. Numbers larger or more precise will be capped or rounded up.
// (E.g.: 0.1m will rounded up to 1m.)
// This may be extended in the future if we require larger or smaller quantities.
//

	copy(all, base)
	for i := len(base); i < len(all); i++ {
		all[i] = rand.NormFloat64()
	}

	test(t, "+", add, fop(Fadd64), all)
	test(t, "-", sub, fop(Fsub64), all)
	if GOARCH != "386" { // 386 is not precise!
		test(t, "*", mul, fop(Fmul64), all)
		test(t, "/", div, fop(Fdiv64), all)
	}
}

// 64 -hw-> 32 -hw-> 64
func trunc32(f float64) float64 {
	return float64(float32(f))
}

// 64 -sw->32 -hw-> 64

                b = f(a = "x")
                b = f(a = "x") { test() }
                call(x = { }) // TODO: right now, it is reported as an unsupported language feature FunctionDeclaration, report it in a more precise way?
                multiLambda({ }, { })
                1
                a.b()
                a.x = 1
                val x = 1
                syntaxError = syntaxError!!!
                a = this

	bound float64

	// Worst N window tracking
	nWorst int
	wHeap  utilHeap

	// Mutator utilization distribution tracking
	mud *mud
	// preciseMass is the distribution mass that must be precise
	// before accumulation is stopped.
	preciseMass float64
	// lastTime and lastMU are the previous point added to the
	// windowed mutator utilization function.
	lastTime int64
	lastMU   float64
}

// GC-related events, changes of heap size, processor start/stop, etc.
// When CPU profiling is active, the execution tracer makes an effort to
// include those samples as well.
// A precise nanosecond-precision timestamp and a stack trace is
// captured for most events. The generated trace can be interpreted
// using `go tool trace`.
//
// Support for tracing tests and benchmarks built with the standard

}

// recordCall records a call from ODCLFUNC node "from", to function
// symbol "to" at position pos.
//
// This should be done as late as possible during compilation to
// capture precise call graphs. The target of the call is an LSym
// because that's all we know after we start SSA.
//
// This can be called concurrently for different from Nodes.