// <signedNumber>    ::= <number> | <sign><number>
// <suffix>          ::= <binarySI> | <decimalExponent> | <decimalSI>
// <binarySI>        ::= Ki | Mi | Gi | Ti | Pi | Ei
//
//	(International System of units; See: http://physics.nist.gov/cuu/Units/binary.html)
//
// <decimalSI>       ::= m | "" | k | M | G | T | P | E
//
//	(Note that 1024 = 1Ki but 1000 = 1k; I didn't choose the capitalization.)
//

				}
			}
			sort.Sort(p.pairPositions)
			// if we get here, the closing bracket matched no openers
			// and gets ignored
		}
	}
}

// Bracket pairs within an isolating run sequence are processed as units so
// that both the opening and the closing paired bracket in a pair resolve to
// the same direction.
//
// N0. Process bracket pairs in an isolating run sequence sequentially in

        }
    }
}
----
=====

When the `java-gradle-plugin` is applied, users must configure the plugin they are developing using the `gradlePlugin{}` configuration block.

Tasks are units of work executed during your build.
They can be defined by plugins or inline:

[.multi-language-sample]
=====
[source, kotlin]
----
val functionalTest by tasks.registering(Test::class) {

// search at the compilation unit of the last call, so in general
// looking up a series of PCs will be faster if they are sorted. If
// the caller wishes to do repeated fast PC lookups, it should build
// an appropriate index using the Ranges method.
func (r *Reader) SeekPC(pc uint64) (*Entry, error) {
	unit := r.unit
	for i := 0; i < len(r.d.unit); i++ {
		if unit >= len(r.d.unit) {

	}
	r := bytes.NewReader(b.data)
	r.ReadByte() // Consume the EvFrequency byte.

	// Read the frequency. It'll come out as timestamp units per second.
	f, err := binary.ReadUvarint(r)
	if err != nil {
		return 0, err
	}
	// Convert to nanoseconds per timestamp unit.
	return frequency(1.0 / (float64(f) / 1e9)), nil
}

// addExperimentalData takes an experimental batch and adds it to the ExperimentalData

  // outputs(full sequence) is used, not the last_output, not the new_states.
  // We will discard everything except the outputs.
  // And the outputs is in the shape of [batch, time, units].
  if (attr.getValue().starts_with("lstm_")) {
    // Check if the keras lstm can be fused, if not, we just don't do anything.
    if (failed(CheckFusableKerasLstm(func, module))) return;
    func.eraseBody();

		funcs = append(funcs, s)
		state.nfunc++
		if state.firstFunc == 0 {
			state.firstFunc = s
		}
		state.lastFunc = s

		// We need to keep track of all compilation units we see. Some symbols
		// (eg, go.buildid, _cgoexp_, etc) won't have a compilation unit.
		cu := ldr.SymUnit(s)
		if _, ok := seenCUs[cu]; cu != nil && !ok {
			seenCUs[cu] = struct{}{}
			cu.PclnIndex = len(compUnits)
			compUnits = append(compUnits, cu)
		}

	EvCPUSamples // start of a section of CPU samples [...EvCPUSample]
	EvCPUSample  // CPU profiling sample [timestamp, M ID, P ID, goroutine ID, stack ID]
	EvFrequency  // timestamp units per sec [freq]

	// Procs.
	EvProcsChange // current value of GOMAXPROCS [timestamp, GOMAXPROCS, stack ID]
	EvProcStart   // start of P [timestamp, P ID, P seq]
	EvProcStop    // stop of P [timestamp]

	github.com/coreos/go-semver v0.3.1 // indirect
	github.com/davecgh/go-spew v1.1.2-0.20180830191138-d8f796af33cc // indirect
	github.com/decred/dcrd/dcrec/secp256k1/v4 v4.3.0 // indirect
	github.com/docker/go-units v0.5.0 // indirect
	github.com/eapache/go-resiliency v1.6.0 // indirect
	github.com/eapache/go-xerial-snappy v0.0.0-20230731223053-c322873962e3 // indirect
	github.com/eapache/queue v1.1.0 // indirect

	//
	// The histogram bucket boundaries for pod startup latency metrics, measured in seconds. These are hand-picked
	// so as to be roughly exponential but still round numbers in everyday units. This is to minimise the number
	// of buckets while allowing accurate measurement of thresholds which might be used in SLOs
	// e.g. x% of pods start up within 30 seconds, or 15 minutes, etc.