// deleteInstanceKeys deletes all instances with the given configKey and instanceKey
// Note: as a convenience, this takes a []ServiceInstance instead of []instanceKey, as most callers have this format
// However, this function only operates on the instance keys
func (s *serviceInstancesStore) deleteInstanceKeys(key configKeyWithParent, instances []*model.ServiceInstance) {
	for _, i := range instances {
		ikey := makeInstanceKey(i)

query results are printed to the console, organized by workload name.

All metrics returned are from server-side reports. This means that latencies
and error rates are from the perspective of the service itself and not of an
individual client (or aggregate set of clients). Rates and latencies are
calculated over a time interval of 1 minute.
`,
		Example: `  # Retrieve workload metrics for productpage-v1 workload

			dirIndices = append(dirIndices, k)
		}
	}
	return collectPodsImpl(files, dirIndices, warn), nil
}

// CollectPodsFromFiles functions the same as "CollectPods" but
// operates on an explicit list of files instead of a directory.
func CollectPodsFromFiles(files []string, warn bool) []Pod {
	return collectPodsImpl(files, nil, warn)
}

type fileWithAnnotations struct {
	file   string

func NewStaticCollection(name string, items map[string]any) ReadableCollection {
	return &staticCollection{
		name:  name,
		items: items,
	}
}

// staticCollection is a ReadableCollection implementation that operates on static data that is supplied
// during construction.
type staticCollection struct {
	name  string
	items map[string]any
}

var _ ReadableCollection = &staticCollection{}

```

         "targets": [
            {
               "datasource": {
                  "type": "prometheus",
                  "uid": "$datasource"
               },
               "expr": "sum by (pod) (\n  irate(\n    container_cpu_usage_seconds_total{container=\"discovery\", pod=~\"istiod-.*\"}\n  [$__rate_interval])\n)",
               "legendFormat": "Container ({{pod}})"
            }
         ],
         "title": "CPU Usage",

El framework **FastAPI** está creado para satisfacer eso. El auto-completado funciona en todas partes.

No vas a tener que volver a la documentación seguido.

Así es como tu editor te puede ayudar:

* en <a href="https://code.visualstudio.com/" class="external-link" target="_blank">Visual Studio Code</a>:

			d.trackSum = sum
			return
		}
		sum = newSum
	}
	d.trackBucket = len(d.hist)
	d.trackSum = sum
}

// approxInvCumulativeSum is like invCumulativeSum, but specifically
// operates on the tracked mass and returns an upper and lower bound
// approximation of the inverse cumulative sum.
//
// The true inverse cumulative sum will be in the range [lower, upper).

""")
        where:
        ruleInputs << ["SampleLibrary library, CustomModel myModel",  "CustomModel myModel, SampleLibrary library"]
    }

    def "@ComponentBinaries rule operates with fully configured component"() {
        given:
        buildFile << """
@Managed
trait BinaryWithValue implements BinarySpec {
    String valueFromComponent
}
@Managed

package json

import (
	"bufio"
	"bytes"
	"io"
	"runtime"
	"sync"

	"github.com/bcicen/jstream"
	"github.com/minio/minio/internal/s3select/sql"
)

// PReader - JSON record reader for S3Select.
// Operates concurrently on line-delimited JSON.
type PReader struct {
	args        *ReaderArgs
	readCloser  io.ReadCloser   // raw input
	buf         *bufio.Reader   // input to the splitter