Node getOrganization() {
        return pom?.organization[0]
    }

    NodeList getLicenses() {
        return pom?.licenses?.license
    }

    NodeList getDevelopers() {
        return pom?.developers?.developer
    }

    NodeList getContributors() {
        return pom?.contributors?.contributor
    }

    Node getScm() {
        return pom?.scm[0]
    }

    Node getIssueManagement() {

devices, including multicore CPUs, general purpose GPUs, and custom-designed ASICs known as Tensor Processing Units (TPUs). This architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several...

Çeşitli fikirleri en popüler Python editörlerinde test ettim: PyCharm, VS Code, Jedi tabanlı editörler.

Bu test, en son <a href="https://www.jetbrains.com/research/python-developers-survey-2018/#development-tools" class="external-link" target="_blank">Python Developer Survey</a>'ine göre, kullanıcıların yaklaşık %80'inin kullandığı editörleri kapsıyor.

Incremental Builds are a great optimization that helps avoid work that is already done.
If a developer is continuously making changes in a single file, there is likely no need to rebuild all the other files in the project.

However, what happens when the same developer decides to switch to a new branch created last week?
The files are rebuilt, even though the developer is building something that has been built before.

 Unified source directory structure that is analogous to the repository
 itself. This way locations of intermediary artifacts of a build would be
 in a known location. This would also help with developer setup i.e. getting
 new developers up and running. They could run a maven command and have all
 their source trees set up in the same way as their colleagues.

 here's what I do currently in the netbeans part of the mavenide project to

 [mockito]: https://site.mockito.org/
 [proguard_problems]: https://github.com/square/okhttp/issues/5167
 [require_android_5]: https://code.cash.app/okhttp-3-13-requires-android-5

Treating the minor number as an input can decrease the likelihood of a cache hit for developer builds.
Depending on how standard development environments are across your team, it's common for many different Java minor version to be in use.

Even without tracking the Java minor version you may have cache misses for developers due to some locally compiled class files which constitute an input to test execution.

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

/**
 * Tests {@code Developer}.
 *
 */
class DeveloperTest {

    @Test
    void testHashCodeNullSafe() {
        new Developer().hashCode();
    }

    @Test
    void testEqualsNullSafe() {
        assertFalse(new Developer().equals(null));

        new Developer().equals(new Developer());
    }

    @Test
    void testEqualsIdentity() {

    /**
     * The URL of this developer.
     */
    Property<String> getUrl();

    /**
     * The organization name of this developer.
     */
    Property<String> getOrganization();

    /**
     * The organization's URL of this developer.
     */
    Property<String> getOrganizationUrl();

    /**
     * The roles of this developer.
     */
    SetProperty<String> getRoles();

# - golangci.yaml is the most permissive configuration. All existing code
#   passed.
# - golangci-strict.yaml adds checks that all new code in pull requests
#   must pass.
# - golangci-hints.yaml adds checks for code patterns where developer
#   and reviewer may decide whether findings should get addressed before
#   merging. Beware that the golangci-lint output includes also the
#   issues that must be fixed and doesn't indicate how severe each issue