api("com.github.javaparser:javaparser-symbol-solver-core:$javaParserVersion")
        api("com.google.guava:guava:27.1-jre")
        api("com.google.errorprone:error_prone_annotations:2.5.1")
        api("com.google.code.gson:gson:2.8.9")
        api("com.nhaarman:mockito-kotlin:1.6.0")
        api("com.thoughtworks.qdox:qdox:2.0.3")
        api("com.uwyn:jhighlight:1.0")

For example an object `orion_cat` (an instance of `Pet`) could have an attribute `orion_cat.type`, for the column `type`. And the value of that attribute could be, e.g. `"cat"`.

These ORMs also have tools to make the connections or relations between tables or entities.

🖼 🎓 `Pet` 💪 🎨 🗄 🏓 `pets`.

& 🔠 *👐* 🎚 👈 🎓 🎨 ⏭ 💽.

🖼 🎚 `orion_cat` (👐 `Pet`) 💪 ✔️ 🔢 `orion_cat.type`, 🏓 `type`. & 💲 👈 🔢 💪, ✅ `"cat"`.

👫 🐜 ✔️ 🧰 ⚒ 🔗 ⚖️ 🔗 🖖 🏓 ⚖️ 👨‍💼.

👉 🌌, 👆 💪 ✔️ 🔢 `orion_cat.owner` & 👨‍💼 🔜 🔌 💽 👉 🐶 👨‍💼, ✊ ⚪️➡️ 🏓 *👨‍💼*.

, `orion_cat.owner.name` 💪 📛 (⚪️➡️ `name` 🏓 `owners` 🏓) 👉 🐶 👨‍💼.

⚫️ 💪 ✔️ 💲 💖 `"Arquilian"`.

	assert.NoError(t, err)
	fakeIPSetDeps.AssertExpectations(t)
}

// for tests that call `runtime.GC()` - we have no control over when the GC is actually scheduled,
// and it is flake-prone to check for closure after calling it, this retries for a bit to make
// sure the netns is closed eventually.
func assertNSClosed(t *testing.T, closed *atomic.Bool) {
	for i := 0; i < 5; i++ {
		if closed.Load() {

				<exclusion>
					<groupId>com.google.code.findbugs</groupId>
					<artifactId>jsr305</artifactId>
				</exclusion>
				<exclusion>
					<groupId>com.google.errorprone</groupId>
					<artifactId>error_prone_annotations</artifactId>
				</exclusion>
			</exclusions>
		</dependency>
		<dependency>
			<groupId>com.google.oauth-client</groupId>
			<artifactId>google-oauth-client</artifactId>

        layers and happens to work before TF 2.4. These will explicitly be
        unsupported now. Converting these ops to Functional API op layers was
        unreliable before TF 2.4, and prone to erroring incomprehensibly or
        being silently buggy.
    *   Code that directly asserts on a Keras symbolic value in cases where ops
        like `tf.rank` used to return a static or symbolic value depending on if