result = lmhosts.getByName("TESTHOST", mockContext);
        assertNull(result);
    }

    @Test
    void testPopulateWithEmptyLines() throws Exception {
        // Create a temporary lmhosts file with empty lines
        File lmhostsFile = tempDir.resolve("lmhosts_empty").toFile();
        try (FileWriter writer = new FileWriter(lmhostsFile)) {
            writer.write("192.168.1.100 HOST1\n");
            writer.write("\n");

Or in other way, no need for them, import and use the code you need.

Any integration is designed to be so simple to use (with dependencies) that you can create a "plug-in" for your application in 2 lines of code using the same structure and syntax used for your *path operations*.

### Tested { #tested }

* 100% <abbr title="The amount of code that is automatically tested">test coverage</abbr>.

**특정 프로그램 호출**에 대해서만 사용할 수 있는 환경 변수를 만들 수도 있습니다. 해당 프로그램에서만 사용할 수 있고, 해당 프로그램이 실행되는 동안만 사용할 수 있습니다.

그렇게 하려면 프로그램 바로 앞, 같은 줄에 환경 변수를 만들어야 합니다:

<div class="termy">

```console
// Create an env var MY_NAME in line for this program call
$ MY_NAME="Wade Wilson" python main.py

// Now it can read the environment variable

Hello Wade Wilson from Python

// The env var no longer exists afterwards
$ python main.py

```

</div>

////

/// tip

Every time you install a **new package** in that environment, **activate** the environment again.

This makes sure that if you use a **terminal (<abbr title="command line interface">CLI</abbr>) program** installed by that package, you use the one from your virtual environment and not any other that could be installed globally, probably with a different version than what you need.

///

import java.util.NoSuchElementException;
import org.jspecify.annotations.Nullable;

/**
 * Implementation detail for the internal structure of {@link Range} instances. Represents a unique
 * way of "cutting" a "number line" (actually of instances of type {@code C}, not necessarily
 * "numbers") into two sections; this can be done below a certain value, above a certain value,

against a pending change. Search for "MLCI" internally to find it.

You may invoke a CI script of your choice by following these instructions:

```bash
cd tensorflow-git-dir

# Here is a single-line example of running a script on Linux to build the
# GPU version of TensorFlow for Python 3.12, using the public TF bazel cache and
# a local build cache:
TFCI=py312,linux_x86_cuda,public_cache,disk_cache ci/official/wheel.sh

func timeZone(offset time.Duration) *time.Location {
	const (
		minOffset   = -12 * time.Hour  // E.g., Baker island at -12:00
		maxOffset   = +14 * time.Hour  // E.g., Line island at +14:00
		offsetAlias = 15 * time.Minute // E.g., Nepal at +5:45
	)
	offset = offset.Round(offsetAlias)
	if offset < minOffset || maxOffset < offset {
		offset = 0
	}

	Timestamp       int64  // Timestamp set at the time of initialization.
	TimeLastRefresh int64  // Timestamp for last lock refresh.
	Source          string // Contains line, function and filename requesting the lock.
	Group           bool   // indicates if it was a group lock.
	Owner           string // Owner represents the UUID of the owner who originally requested the lock.

<a href="https://typer.tiangolo.com" target="_blank"><img src="https://typer.tiangolo.com/img/logo-margin/logo-margin-vector.svg" style="width: 20%;"></a>

If you are building a <abbr title="Command Line Interface">CLI</abbr> app to be used in the terminal instead of a web API, check out <a href="https://typer.tiangolo.com/" class="external-link" target="_blank">**Typer**</a>.

////

/// tip

Mỗi khi bạn cài đặt thêm một **package mới** trong môi trường đó, hãy **kích hoạt** môi trường đó lại.

Điều này đảm bảo rằng khi bạn sử dụng một **chương trình dòng lệnh (<abbr title="command line interface">CLI</abbr>)** được cài đặt từ gói đó, bạn sẽ dùng bản cài đặt từ môi trường ảo của mình thay vì bản được cài đặt toàn cục khác có thể có phiên bản khác với phiên bản bạn cần.

///