#ifndef TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_
#define TENSORFLOW_C_EAGER_GRAPH_FUNCTION_H_

#include "tensorflow/c/eager/abstract_function.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/platform/refcount.h"
namespace tensorflow {
namespace tracing {
namespace graph {
using tensorflow::AbstractFunction;
// Thin wrapper around a FunctionDef.

package com.google.common.collect.testing;

import com.google.common.collect.testing.features.CollectionFeature;
import java.util.Collections;
import java.util.List;
import junit.framework.Test;
import junit.framework.TestCase;
import junit.framework.TestResult;

/**
 * @author Max Ross
 */
public class FeatureSpecificTestSuiteBuilderTest extends TestCase {
  private static final class MyTestSuiteBuilder

#define TENSORFLOW_C_C_TEST_UTIL_H_

#include "tensorflow/c/c_api.h"

#include <vector>
#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/framework/graph.pb.h"
#include "tensorflow/core/framework/node_def.pb.h"
#include "tensorflow/core/framework/types.pb.h"
#include "tensorflow/core/platform/test.h"

using ::tensorflow::string;

==============================================================================*/
#ifndef TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_
#define TENSORFLOW_C_EAGER_ABSTRACT_FUNCTION_H_

#include "absl/status/statusor.h"
#include "tensorflow/core/framework/function.pb.h"
#include "tensorflow/core/platform/intrusive_ptr.h"
#include "tensorflow/core/platform/refcount.h"
#include "tensorflow/core/platform/status.h"

namespace tensorflow {

class FunctionRecord;

org.checkerframework.dataflow.util
org.checkerframework.framework.flow
org.checkerframework.framework.qual
org.checkerframework.framework.source
org.checkerframework.framework.test
org.checkerframework.framework.test.diagnostics
org.checkerframework.framework.type
org.checkerframework.framework.type.treeannotator
org.checkerframework.framework.type.typeannotator
org.checkerframework.framework.type.visitor
org.checkerframework.framework.util

import com.google.common.testing.NullPointerTester;
import com.google.common.testing.NullPointerTester.Visibility;
import java.io.File;
import java.io.FilenameFilter;
import java.util.regex.PatternSyntaxException;
import junit.framework.TestCase;

/**
 * Unit test for {@link PatternFilenameFilter}.
 *
 * @author Chris Nokleberg
 */
public class PatternFilenameFilterTest extends TestCase {

  public void testSyntaxException() {

#include "tensorflow/core/framework/attr_value.pb.h"
#include "tensorflow/core/framework/device_attributes.pb.h"
#include "tensorflow/core/framework/function.h"
#include "tensorflow/core/framework/node_def_util.h"
#include "tensorflow/core/framework/rendezvous.h"
#include "tensorflow/core/framework/tensor_shape.pb.h"
#include "tensorflow/core/framework/types.h"
#include "tensorflow/core/platform/casts.h"

Uygulama parçalarının böyle ayrılıyor oluşu ve istenilen özelliklerle genişletilebilecek bir <abbr title="Mikro Framework: Micro Framework">mikro framework</abbr> olmak tam da benim istediğim bir özellikti.

Flask'ın basitliği göz önünde bulundurulduğu zaman, API geliştirmek için iyi bir seçim gibi görünüyordu. Sıradaki şey ise Flask için bir "Django REST Framework"!

/// check | "**FastAPI**'a nasıl ilham verdi?"

 */
package org.codelibs.core.lang;

import java.lang.reflect.Field;
import java.lang.reflect.Method;
import java.util.HashMap;
import java.util.Map;

import junit.framework.TestCase;

/**
 * @author shot
 */
public class ModifierUtilTest extends TestCase {

    /**
     * @throws Exception
     */
    public void testIsPublic() throws Exception {

---
FastAPI es un web framework moderno y rápido (de alto rendimiento) para construir APIs con Python basado en las anotaciones de tipos estándar de Python.

Sus características principales son:

* **Rapidez**: Alto rendimiento, a la par con **NodeJS** y **Go** (gracias a Starlette y Pydantic). [Uno de los frameworks de Python más rápidos](#rendimiento).