# Benchmarks { #benchmarks }

Independent TechEmpower benchmarks show **FastAPI** applications running under Uvicorn as [one of the fastest Python frameworks available](https://www.techempower.com/benchmarks/#section=test&runid=7464e520-0dc2-473d-bd34-dbdfd7e85911&hw=ph&test=query&l=zijzen-7), only below Starlette and Uvicorn themselves (used internally by FastAPI).

But when checking benchmarks and comparisons you should keep the following in mind.

## Changelog since v1.16.0-alpha.1

### Action Required

* Revert "scheduler.alpha.kubernetes.io/critical-pod annotation is removed. Pod priority (spec.priorityClassName) should be used instead to mark pods as critical. Action required!" ([#80277](https://github.com/kubernetes/kubernetes/pull/80277), [@draveness](https://github.com/draveness))

### ¿Es la concurrencia mejor que el paralelismo? { #is-concurrency-better-than-parallelism }

¡No! Esa no es la moraleja de la historia.

		for _, ent := range b.entries {
			delete(b.entries, ent.Key)
		}
	}
	c.evictList.Init()
}

// Add adds a value to the cache. Returns true if an eviction occurred.
// Returns false if there was no eviction: the item was already in the cache,
// or the size was not exceeded.
func (c *LRU[K, V]) Add(key K, value V) (evicted bool) {
	c.mu.Lock()
	defer c.mu.Unlock()
	now := time.Now()

 */
package org.codelibs.fess.opensearch.log.allcommon;

import org.apache.lucene.search.TotalHits;
import org.dbflute.cbean.result.PagingResultBean;
import org.opensearch.action.search.SearchRequestBuilder;
import org.opensearch.search.aggregations.Aggregations;

/**
 * @param <ENTITY> The type of entity.
 * @author ESFlute (using FreeGen)
 */

import java.io.File;
import java.io.IOException;
import java.nio.file.Files;
import java.nio.file.Path;
import java.util.List;
import java.util.Objects;
import java.util.concurrent.atomic.AtomicReference;
import java.util.function.Supplier;

import org.apache.maven.api.services.ModelBuilderException;
import org.apache.maven.api.services.ModelSource;
import org.apache.maven.artifact.DefaultArtifact;

	// Deprecated: use B.
	A         = 1
	a         = 11
	A64 int64 = 1

	AIsLowerA = a // previously declared
)

const (
	ConversionConst = MyInt(5)
)

// Variables from function calls.
var (
	V = ptwo.F()
	// Deprecated: use WError.
	VError = BarE()
	V1     = Bar1(1, 2, 3)
	V2     = ptwo.G()
)

// Variables with conversions:
var (
	StrConv  = string("foo")

import org.openjdk.jmh.annotations.State;
import org.openjdk.jmh.annotations.Warmup;
import org.openjdk.jmh.infra.Blackhole;

import java.time.ZoneId;
import java.util.concurrent.TimeUnit;
import java.util.function.Supplier;

@Fork(2)
@Warmup(iterations = 10)
@Measurement(iterations = 5)
@BenchmarkMode(Mode.AverageTime)
@OutputTimeUnit(TimeUnit.NANOSECONDS)
@State(Scope.Benchmark)
public class RoundingBenchmark {

///

## Diğer Asenkron Fonksiyon Çağrıları { #other-asynchronous-function-calls }

# Body - 欄位 { #body-fields }

就像你可以在「路徑操作函式 (path operation function)」的參數中用 `Query`、`Path` 和 `Body` 宣告額外的驗證與中繼資料一樣，你也可以在 Pydantic 模型中使用 Pydantic 的 `Field` 來宣告驗證與中繼資料。

## 匯入 `Field` { #import-field }

首先，你需要匯入它：

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

請注意，`Field` 是直接從 `pydantic` 匯入的，不像其他（如 `Query`、`Path`、`Body` 等）是從 `fastapi` 匯入。

///

## 宣告模型屬性 { #declare-model-attributes }