// integer arithmetic.  Let's instead compute 2^e/c
// for a value of e TBD (^ = exponentiation).  Then
//   ⎣x / c⎦ = ⎣x * (2^e/c) / 2^e⎦.
// Dividing by 2^e is easy.  2^e/c isn't an integer, unfortunately.
// So we must approximate it.  Let's call its approximation m.
// We'll then compute
//   ⎣x * m / 2^e⎦
// Which we want to be equal to ⎣x / c⎦ for 0 <= x < 2^n-1
// where n is the word size.
// Setting x = c gives us c * m >= 2^e.

						for _, have := range counts {
							err := float64(have) - want
							χ2 += err * err
						}
						χ2 /= want
						samples[i] = χ2
					}

					// Check that our samples approximate the appropriate normal distribution.
					dof := float64(nfact - 1)
					expected := &statsResults{mean: dof, stddev: math.Sqrt(2 * dof)}
					errorScale := max(1.0, expected.stddev)

import java.util.stream.Collector;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A Bloom filter for instances of {@code T}. A Bloom filter offers an approximate containment test
 * with one-sided error: if it claims that an element is contained in it, this might be in error,
 * but if it claims that an element is <i>not</i> contained in it, then this is definitely true.
 *

import java.math.RoundingMode;
import javax.annotation.CheckForNull;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A Bloom filter for instances of {@code T}. A Bloom filter offers an approximate containment test
 * with one-sided error: if it claims that an element is contained in it, this might be in error,
 * but if it claims that an element is <i>not</i> contained in it, then this is definitely true.
 *

	This increases tracer overhead, but could be helpful as a workaround or for
	debugging unexpected regressions caused by frame pointer unwinding.

	traceadvanceperiod: the approximate period in nanoseconds between trace generations. Only
	applies if a program is built with GOEXPERIMENT=exectracer2. Used primarily for testing
	and debugging the execution tracer.

	trimLimit     = 5 * 24 * time.Hour
)

// used makes a best-effort attempt to update mtime on file,
// so that mtime reflects cache access time.
//
// Because the reflection only needs to be approximate,
// and to reduce the amount of disk activity caused by using
// cache entries, used only updates the mtime if the current
// mtime is more than an hour old. This heuristic eliminates

	}
	return h
}

// A dedup is a deduplicator for call stacks, so that we only print
// a report for new call stacks, not for call stacks we've already
// reported.
//
// It has two modes: an approximate but lock-free mode that
// may still emit some duplicates, and a precise mode that uses
// a lock and never emits duplicates.
type dedup struct {
	// 128-entry 4-way, lossy cache for seenLossy
	recent [128][4]uint64

E como você pode ter paralelismo e sincronicidade ao mesmo tempo, você tem uma maior performance do que a maioria dos frameworks NodeJS testados e lado a lado com Go, que é uma linguagem compilada próxima ao C <a href="https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=query&l=zijmkf-1" class="external-link" target="_blank">(tudo graças ao Starlette)</a>.

### Concorrência é melhor que paralelismo?

// are waiting to acquire the lock will report contention when the lock is
// finally unlocked (that is, at [sync.Mutex.Unlock]).
//
// Sample values correspond to the approximate cumulative time other goroutines
// spent blocked waiting for the lock, subject to event-based sampling
// specified by [runtime.SetMutexProfileFraction]. For example, if a caller

					have := h.haveTags[i]
					if equalsRest(have.tag, w) {
						return have, w, Exact
					}
				}
			}
			if w.ScriptID == 0 && w.RegionID == 0 {
				// We skip all tags matching und for approximate matching, including
				// private tags.
				continue
			}
			max, _ = w.Maximize()
			if h = m.index[max.LangID]; h == nil {
				continue
			}
		}
		pin := true