---

### 🎓 **Learning Resources for Gradle**

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- **[DPE University Free Courses](https://dpeuniversity.gradle.com/app/catalog)**: A collection of hands-on courses for learning Gradle, complete with project-based tasks to improve real-world skills.

... müsaitliğime ve diğer faktörlere bağlı olarak daha sonra gelebilir. 😅 🎉

## Machine Learning modelleri, spaCy ve FastAPI

GitHub: <a href="https://github.com/microsoft/cookiecutter-spacy-fastapi" class="external-link" target="_blank">https://github.com/microsoft/cookiecutter-spacy-fastapi</a>

### Machine Learning modelleri, spaCy ve FastAPI - Features

* **spaCy** NER model entegrasyonu.

(xLimbs[i] ^ dLimbs[i])) xLimbs[i], carry = bits.Add(l, l, carry) dLimbs[i], borrow = bits.Sub(xLimbs[i], mLimbs[i], borrow) } // Like in maybeSubtractModulus, we need the subtraction if either it // didn't underflow (meaning 2x + b > m) or if computing 2x + b // overflowed (meaning 2x + b > 2^_W*n > m). needSubtraction = not(choice(borrow)) | choice(carry) } return x.assign(needSubtraction, d) } // Mod calculates out = x mod m. // // This works regardless how large the value of x is. // // The output...

* iSCSI volume plugin: iSCSI initiatorname support ([#48789](https://github.com/kubernetes/kubernetes/pull/48789), [@mtanino](https://github.com/mtanino))
* On AttachDetachController node status update, do not retry when node doesn't exist but keep the node entry in cache. ([#50806](https://github.com/kubernetes/kubernetes/pull/50806), [@verult](https://github.com/verult))

    "input": "aa--",
    "output": "aa--"
  },
  {
    "input": "a†--",
    "output": "xn--a---kp0a"
  },
  {
    "input": "ab--c",
    "output": "ab--c"
  },
  {
    "comment": "Label with leading hyphen",
    "input": "-x",
    "output": "-x"
  },
  {
    "input": "-†",
    "output": "xn----xhn"
  },
  {
    "input": "-x.xn--zca",
    "output": "-x.xn--zca"
  },
  {
    "input": "-x.ß",

catch() {
	if [ $# -ne 0 ]; then
		echo "error on line $1"
		echo "server logs ========="
		cat "/tmp/sitea_1.log"
		echo "==========================="
		cat "/tmp/sitea_2.log"
	fi

	echo "Cleaning up instances of MinIO"
	pkill minio
	pkill -9 minio
	rm -rf /tmp/multisitea
	if [ $# -ne 0 ]; then
		exit $#
	fi
}

catch

set -e
export MINIO_CI_CD=1
export MINIO_BROWSER=off

## Healing Metrics

| Name                                         | Description                                                      |
|:---------------------------------------------|:-----------------------------------------------------------------|
| `minio_heal_objects_errors_total`            | Objects for which healing failed in current self healing run.    |

app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":
        return {"model_name": model_name, "message": "LeCNN all the images"}

## Caso de Uso { #use-case }

Empecemos con un ejemplo de **caso de uso** y luego veamos cómo resolverlo con esto.

Imaginemos que tienes algunos **modelos de machine learning** que quieres usar para manejar requests. 🤖

		"Average last minute latency in µs for drive API storage operations",
		append(allDriveLabels, apiL)...)
	driveHealthMD = NewGaugeMD(driveHealth,
		"Drive health (0 = offline, 1 = healthy, 2 = healing)", allDriveLabels...)

	driveOfflineCountMD = NewGaugeMD(driveOfflineCount,
		"Count of offline drives")
	driveOnlineCountMD = NewGaugeMD(driveOnlineCount,
		"Count of online drives")