if (!foundAndRemovedExactReference(forgetMeNot, moved.replaced)) {
            skipMe.add(moved.replaced);
          }
        }
        cursor--;
        nextCursor--;
      } else { // we must have set lastFromForgetMeNot in next()
        checkState(removeExact(requireNonNull(lastFromForgetMeNot)));
        lastFromForgetMeNot = null;
      }
    }

        <abbr title="too long; didn't read – zu lang; hab's nicht gelesen"><strong>TL;DR:</strong></abbr>
        »»»

1.1) If the language to which you translate mostly uses the letters of the ASCII char set (for example Spanish, French, German, but not Russian, Chinese) and if the translation of the full phrase is identical to, or starts with the same letters as the original full phrase, then only give the translation of the full phrase.

    // ===================================================================================
    //                                                                     Aggregation Set
    //                                                                           =========

    public void filter(String name, EsAbstractConditionQuery.OperatorCall<BsFailureUrlCQ> queryLambda,

    // ===================================================================================
    //                                                                     Aggregation Set
    //                                                                           =========

    public void filter(String name, EsAbstractConditionQuery.OperatorCall<BsClickLogCQ> queryLambda,

	for i := 0; i < 5<<10; i++ {
		b.Write(buf)
		b.Read(buf)
		if i == 0 {
			cap0 = b.Cap()
		}
	}
	cap1 := b.Cap()
	// (*Buffer).grow allows for 2x capacity slop before sliding,
	// so set our error threshold at 3x.
	if cap1 > cap0*3 {
		t.Errorf("buffer cap = %d; too big (grew from %d)", cap1, cap0)
	}
}

func BenchmarkWriteByte(b *testing.B) {
	const n = 4 << 10
	b.SetBytes(n)

// A simple in-out test: Do we print what we parse?

func setArch(goarch string) (*arch.Arch, *obj.Link) {
	buildcfg.GOOS = "linux" // obj can handle this OS for all architectures.
	buildcfg.GOARCH = goarch
	architecture := arch.Set(goarch, false)
	if architecture == nil {
		panic("asm: unrecognized architecture " + goarch)
	}
	ctxt := obj.Linknew(architecture.LinkArch)
	ctxt.Pkgpath = "pkg"
	return architecture, ctxt
}

    // ===================================================================================
    //                                                                     Aggregation Set
    //                                                                           =========

    public void filter(String name, EsAbstractConditionQuery.OperatorCall<BsAccessTokenCQ> queryLambda,

    // ===================================================================================
    //                                                                     Aggregation Set
    //                                                                           =========

    public void filter(String name, EsAbstractConditionQuery.OperatorCall<BsJobLogCQ> queryLambda,

* **Deep Learning**: this is a sub-field of Machine Learning, so, the same applies. It's just that there is not a single spreadsheet of numbers to multiply, but a huge set of them, and in many cases, you use a special processor to build and / or use those models.

### Concurrency + Parallelism: Web + Machine Learning { #concurrency-parallelism-web-machine-learning }

    // ===================================================================================
    //                                                                     Aggregation Set
    //                                                                           =========

    public void filter(String name, EsAbstractConditionQuery.OperatorCall<BsKeyMatchCQ> queryLambda,