En el ejemplo anterior, tienen valores por defecto de `skip=0` y `limit=10`.

Entonces, ir a la URL:

```
http://127.0.0.1:8000/items/
```

sería lo mismo que ir a:

```
http://127.0.0.1:8000/items/?skip=0&limit=10
```

Pero si vas a, por ejemplo:

```
http://127.0.0.1:8000/items/?skip=20
```

Então, durante esse tempo, o computador pode ir e fazer outro trabalho, enquanto o "arquivo lento" 📝 termina.

inzai.chiba.jp
io
io.in
io.vn
iobb.net
iopsys.se
ip-ddns.com
ip-dynamic.org
ip.linodeusercontent.com
ip6.arpa
ipfs.nftstorage.link
ipifony.net
ipiranga
iq
ir
ir.md
iris.arpa
irish
iruma.saitama.jp
is
is-a-anarchist.com
is-a-blogger.com
is-a-bookkeeper.com
is-a-bruinsfan.org
is-a-bulls-fan.com
is-a-candidate.org
is-a-caterer.com

Entonces, durante ese tiempo, la computadora puede ir y hacer algún otro trabajo, mientras "archivo-lento" 📝 termina.

import java.util.List;
import java.util.Map;

import org.apache.commons.io.FileUtils;
import org.codelibs.core.collection.Maps;
import org.codelibs.fess.unit.UnitFessTestCase;
import org.codelibs.sai.internal.ir.debug.ObjectSizeCalculator;

import com.google.common.collect.Lists;

public class MemoryUtilTest extends UnitFessTestCase {

    public void test_byteCountToDisplaySize() {

r/mlir/tfrt,tensorflow/compiler/mlir/tfrt/benchmarks,tensorflow/compiler/mlir/tfrt/ir,tensorflow/compiler/mlir/tfrt/ir/mlrt,tensorflow/compiler/mlir/tfrt/jit/python_binding,tensorflow/compiler/mlir/tfrt/jit/transforms,tensorflow/compiler/mlir/tfrt/python_tests,tensorflow/compiler/mlir/tfrt/tests,tensorflow/compiler/mlir/tfrt/tests/ifrt,tensorflow/compiler/mlir/tfrt/tests/mlrt,tensorflow/compiler/mlir/tfrt/tests/ir,tensorflow/compiler/mlir/tfrt/tests/analysis,tensorflow/compiler/mlir/tfrt/tests/j...

Verás algo como:

```JSON
{"item_id": 5, "q": "somequery"}
```

## Documentación Interactiva de la API

          "jbo,tsuc,?tisbew321,?gniksnd,p&h21,ohsdaerpsym,?snd&tog,uolc,?wolf.e&a.1pla,nigneppa,?xi2,ytic-amil,?aoc?et!.spparevelc,?ir!euz??r&aes?uhc??sob?taw!s???d0sbgp--nx?f&2lpbgm--nx?k??g!.&gro?lim?moc?ten?ude?vog?zib???m!a1j--nx??ocir?p!.&gro?i?lim?moc?ogn?snduolc,ten?ude?vog???s!.&adtob,elbavol,g&nabhsah,ro??lim?m&oc?roftalp.&su,tne,ue,??ten?vog?won,?a&c?nom??i&d?f?ri???t!.&...

"pirms", "pret", "priekš", "starp", "šaipus", "uz", "viņpus", "virs", "virspus", "zem", "apakšpus", "# Conjunctions", "un", "bet", "jo", "ja", "ka", "lai", "tomēr", "tikko", "turpretī", "arī", "kaut", "gan", "tādēļ", "tā", "ne", "tikvien", "vien", "kā", "ir", "te", "vai", "kamēr", "# Particles", "ar", "diezin", "droši", "diemžēl", "nebūt", "ik", "it", "taču", "nu", "pat", "tiklab", "iekšpus", "nedz", "tik", "nevis", "turpretim", "jeb", "iekam", "iekām", "iekāms", "kolīdz", "līdzko", "tiklīdz", "jebšu",...

        Previously, when called within `name_scope("")` or `name_scope(None)`
        contexts, it returned `None`; now it returns the empty string.
    *   `tensorflow/core/ir/` contains a new MLIR-based Graph dialect that is
        isomorphic to GraphDef and will be used to replace GraphDef-based (e.g.,
        Grappler) optimizations.