🐘 **Gradle Build Tool** 

**[Gradle](https://gradle.org/)** is a highly scalable build automation tool designed to handle everything from large, multi-project enterprise builds to quick development tasks across various languages. Gradle’s modular, performance-oriented architecture seamlessly integrates with development environments, making it a go-to solution for building, testing, and deploying applications on **Java**, **Kotlin**, **Scala**, **Android**, **Groovy**, **C++**, and **Swift**....

              <includes>
                <include>module-info.java</include>
              </includes>

              <!--
                JPMS needs access to the module sources to complete a modular Java build. We also need to override the
                base compile settings (in the root `pom.xml`) to enable MRJAR output.
              -->
              <compilerArgs combine.self="override">

              <includes>
                <include>module-info.java</include>
              </includes>

              <!--
                JPMS needs access to the module sources to complete a modular Java build. We also need to override the
                base compile settings (in the root `pom.xml`) to enable MRJAR output.
              -->
              <compilerArgs combine.self="override">

common --incompatible_default_to_explicit_init_py

# For projects which use TensorFlow as part of a Bazel build process, putting
# nothing in a bazelrc will default to a monolithic build. The following line
# opts in to modular op registration support by default.
common --define framework_shared_object=true
common --define tsl_protobuf_header_only=true

common --define=allow_oversize_protos=true

common --spawn_strategy=standalone

     * Tests the {@code equals} and {@code hashCode} methods of options.
     */
    @Test
    public void testEqualsHashCode() {
        JavaPathType.Modular foo1 = JavaPathType.patchModule("foo");
        JavaPathType.Modular foo2 = JavaPathType.patchModule("foo");
        JavaPathType.Modular bar = JavaPathType.patchModule("bar");
        assertEquals(foo1, foo2);
        assertEquals(foo1.hashCode(), foo2.hashCode());

         * a * b == aHi * bHi * 2^64 + (aHi * bLo + aLo * bHi) * 2^32 + aLo * bLo.
         *       == (aHi * bHi * 2^32 + aHi * bLo + aLo * bHi) * 2^32 + aLo * bLo
         *
         * We carry out this computation in modular arithmetic. Since times2ToThe32Mod accepts any
         * unsigned long, we don't have to do a mod on every operation, only when intermediate
         * results can exceed 2^63.
         */

It is very simple and intuitive. It's designed to be easily extensible, and have modular components.

It has:

* Seriously impressive performance.
* WebSocket support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.

     * is {@link JavaPathType#MODULES}, then this method returns {@code "--module-path"}.
     * The option does not include the {@linkplain JavaPathType.Modular#moduleName() module name}
     * on which it applies.
     *
     * @return the name of the tool option for this path type
     */
    @Nonnull
    Optional<String> option();

    /**

            This element can be specified in a Maven project containing multiple Java modules.
            It is generally not needed for non-modular projects, or for modular projects having only one module.

            <p>If a module name is specified for resources or script files,
            then this value modifies the directory where the files will be copied.

        selective op registration headers else execution would fail with
        unregistered kernels error.

*   Modular File System Migration:

    *   Support for S3 and HDFS file systems has been migrated to a modular file
        systems based approach and is now available in
        https://github.com/tensorflow/io. The `tensorflow-io` python package