package org.apache.maven.project.inheritance.t00;

import org.apache.maven.project.MavenProject;
import org.apache.maven.project.inheritance.AbstractProjectInheritanceTestCase;
import org.junit.jupiter.api.Test;

import static org.junit.jupiter.api.Assertions.assertEquals;

/**
 * A test which demonstrates maven's recursive inheritance where
 * a distinct value is taken from each parent contributing to

import javax.inject.Inject;
import javax.inject.Named;
import javax.inject.Singleton;

import java.lang.reflect.Method;
import java.util.List;

import org.apache.maven.api.services.Prompter;
import org.apache.maven.api.services.PrompterException;
import org.codehaus.plexus.PlexusContainer;

@Named
@Singleton
public class DefaultPrompter implements Prompter {

#include "tensorflow/core/lib/llvm_rtti/llvm_rtti.h"
#include "tensorflow/core/platform/strcat.h"

// =============================================================================
// Public C API entry points
// These are only the entry points specific to the Eager API.
// =============================================================================

using tensorflow::AbstractContext;
using tensorflow::AbstractTensorHandle;
using tensorflow::dyn_cast;

- CLI client. This is the `gradle` or `gradlew` command, and is responsible for locating, starting and interacting with the Gradle daemon, potentially downloading the Gradle distribution. 
- Tooling API client. This a library that is embedded into applications, such as IDEs or CI agents, that allows them to act as a Gradle client.

    implementation("com.github.javaparser:javaparser-core")
    implementation("com.google.guava:guava")
    implementation("com.uwyn:jhighlight") {
        exclude(module = "servlet-api")
    }
    implementation("com.vladsch.flexmark:flexmark-all")
    implementation("commons-lang:commons-lang")
    implementation("org.asciidoctor:asciidoctor-gradle-jvm")
    implementation("org.asciidoctor:asciidoctorj")

    TensorFlow has passed version 1.0 and hence cannot make
    non-backward-compatible API changes without a major release. Reviewers of
    your pull request will comment on any API compatibility issues
    [following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md).
*   When you contribute a new feature to TensorFlow, the maintenance burden is

import okhttp3.internal.http.RecordingProxySelector
import okhttp3.internal.http2.ErrorCode
import okhttp3.testing.PlatformRule
import org.junit.jupiter.api.BeforeEach
import org.junit.jupiter.api.Test
import org.junit.jupiter.api.extension.RegisterExtension
import org.junit.jupiter.params.ParameterizedTest
import org.junit.jupiter.params.provider.ValueSource

class RouteFailureTest {

import japicmp.model.JApiHasChangeStatus
import japicmp.model.JApiMethod
import me.champeau.gradle.japicmp.report.AbstractContextAwareViolationRule
import me.champeau.gradle.japicmp.report.Violation
import org.gradle.api.Incubating

import javax.inject.Inject

import static gradlebuild.binarycompatibility.upgrades.UpgradedProperties.SEEN_OLD_REMOVED_ACCESSORS_OF_UPGRADED_PROPERTIES

Each section gradually builds on the previous ones, but it's structured to separate topics, so that you can go directly to any specific one to solve your specific API needs.

It is also built to work as a future reference so you can come back and see exactly what you need.

## Run the code

All the code blocks can be copied and used directly (they are actually tested Python files).

도구가 해결하는 문제가 단순할수록 성능이 더 좋아집니다. 그리고 대부분의 벤치마크는 도구가 제공하는 추가 기능을 테스트하지 않습니다.

계층 구조는 다음과 같습니다:

* **Uvicorn**: ASGI 서버
    * **Starlette**: (Uvicorn 사용) 웹 마이크로 프레임워크
        * **FastAPI**: (Starlette 사용) API 구축을 위한 데이터 검증 등 여러 추가 기능이 포함된 API 마이크로 프레임워크

* **Uvicorn**:
    * 서버 자체 외에는 많은 추가 코드가 없기 때문에 최고의 성능을 발휘합니다.