t.Errorf("%s: average delta is too high. expected: %d, got %d", tc.filename, tc.tolerance, avgDelta)
			continue
		}
	}
}

func TestSubImage(t *testing.T) {
	m0, err := readImg("../testdata/video-001.gif")
	if err != nil {
		t.Fatalf("readImg: %v", err)
	}
	m0 = m0.(*image.Paletted).SubImage(image.Rect(0, 0, 50, 30))
	var buf bytes.Buffer
	err = Encode(&buf, m0, nil)
	if err != nil {
		t.Fatalf("Encode: %v", err)

```

### 3. Configuring Prometheus

#### 3.1 Authenticated Prometheus config

> If MinIO is configured to expose metrics without authentication, you don't need to use `mc` to generate prometheus config. You can skip reading further and move to 3.2 section.

**OPTIONAL:** Some artifacts, mainly Maven plugin ones, are built separately with Maven.
Refer to [libraries/ReadMe.md](libraries/ReadMe.md) for details.

To build Kotlin/Native, see
[kotlin-native/README.md](kotlin-native/README.md#building-from-source).

## <a name="working-in-idea"></a> Working with the project in IntelliJ IDEA

# Blocking vs Non-blocking

The default behavior of the ring buffer is non-blocking, 
meaning that reads and writes will return immediately with an error if the operation cannot be completed.
If you want to block when reading or writing, you must enable it:

```go
	rb := ringbuffer.New(1024).SetBlocking(true)
```

Enabling blocking will cause the ring buffer to behave like a buffered [io.Pipe](https://pkg.go.dev/io#Pipe).

SIG that owns the repos in
[`sigs.yaml`](https://github.com/kubernetes/community/blob/master/sigs.yaml).

This README provides quickstart instructions on running MinIO on bare metal hardware, including container-based installations. For Kubernetes environments, use the [MinIO Kubernetes Operator](https://github.com/minio/operator/blob/master/README.md).

## Container Installation

Use the following commands to run a standalone MinIO server as a container.

* **Intuitive**: Great editor support. <abbr title="also known as auto-complete, autocompletion, IntelliSense">Completion</abbr> everywhere. Less time debugging.
* **Easy**: Designed to be easy to use and learn. Less time reading docs.
* **Short**: Minimize code duplication. Multiple features from each parameter declaration. Fewer bugs.
* **Robust**: Get production-ready code. With automatic interactive documentation.

	spec := r.specs[ev]
	args, err := readArgs(line, spec.Args)
	if err != nil {
		return Event{}, fmt.Errorf("reading args for %s: %v", evStr, err)
	}
	if spec.IsStack {
		len := int(args[1])
		for i := 0; i < len; i++ {
			line, err := r.nextLine()
			if err == io.EOF {
				return Event{}, fmt.Errorf("unexpected EOF while reading stack: args=%v", args)
			}
			if err != nil {
				return Event{}, err
			}

A. Unique TensorFlower <******@****.***> 1716312871 -0700

These inputs are often read via an API that Gradle doesn’t control, e.g. Java API via `System.getenv()`.

So to track these inputs we had to find a way to track when they are accessed by intercepting API calls reading them. 
And that is why we started instrumenting bytecode.

Later, with a requirement to migrate Gradle core APIs to lazy properties, we were looking at how we could make old plugins compatible with new Gradle core APIs.