</searchConfiguration>

        ClassPath.getClassPathEntry(new File("/home/build/outer.jar"), "file:/usr/test/dep.jar")
            .toURI());
    assertEquals(
        new File("/home/build/a.jar").toURI(),
        ClassPath.getClassPathEntry(new File("/home/build/outer.jar"), "a.jar").toURI());
    assertEquals(
        new File("/home/build/x/y/z").toURI(),
        ClassPath.getClassPathEntry(new File("/home/build/outer.jar"), "x/y/z").toURI());

Asynchronous code just means that the language 💬 has a way to tell the computer / program 🤖 that at some point in the code, it 🤖 will have to wait for *something else* to finish somewhere else. Let's say that *something else* is called "slow-file" 📝.

So, during that time, the computer can go and do some other work, while "slow-file" 📝 finishes.

        netdfs.DfsInfo1 info1 = new netdfs.DfsInfo1();
        info1.entry_path = "test_path";

        ByteArrayOutputStream bos = new ByteArrayOutputStream();
        // Create buffer for encoding - initially allocate some space
        byte[] encodeBuffer = new byte[1024];
        NdrBuffer dst = new NdrBuffer(encodeBuffer, 0);
        info1.encode(dst);

        ByteArrayInputStream bis = new ByteArrayInputStream(bos.toByteArray());

**projects depend on**. That's very difficult to manage. And you would probably end up running some projects with some **incompatible versions** of the packages, and not knowing why something isn't working.

Also, depending on your operating system (e.g. Linux, Windows, macOS), it could have come with Python already installed. And in that case it probably had some packages pre-installed with some specific versions **needed by your system**. If you install packages in the global Python environment,...

In this case, it would be better to get **one extra server** and run some processes on it so that they all have **enough RAM and CPU time**.

* `internal`: Internal
    * Use this for changes that only affect how the repo is managed. For example upgrades to internal dependencies, changes in GitHub Actions or scripts, etc.

/// tip

Flask is a "microframework", it doesn't include database integrations nor many of the things that come by default in Django.

This simplicity and flexibility allow doing things like using NoSQL databases as the main data storage system.

As it is very simple, it's relatively intuitive to learn, although the documentation gets somewhat technical at some points.

{* ../../docs_src/dependencies/tutorial008_an_py39.py hl[18:19,26:27] *}

The same way, you could have some dependencies with `yield` and some other dependencies with `return`, and have some of those depend on some of the others.

And you could have a single dependency that requires several other dependencies with `yield`, etc.

You can have any combinations of dependencies that you want.

            executor.shutdown();

            // Some requests should be rejected due to backpressure
            assertTrue(rejectedCount.get() > 0, "Some requests should be rejected by backpressure");
            assertTrue(successCount.get() > 0, "Some requests should succeed");
            assertEquals(5, rejectedCount.get() + successCount.get(), "Total should be 5");