import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

- Improve CPU sample sanitization in HPA by taking metric's freshness into account. ([#68068](https://github.com/kubernetes/kubernetes/pull/68068), [@krzysztof-jastrzebski](https://github.com/krzysztof-jastrzebski))

        print(statsDetails['BytesScanned'])
        print("Stats details bytesProcessed: ")
        print(statsDetails['BytesProcessed'])
```

## 4. Run the Program

Upload a sample dataset to MinIO using the following commands.

```sh
curl "https://population.un.org/wpp/Download/Files/1_Indicators%20(Standard)/CSV_FILES/WPP2019_TotalPopulationBySex.csv" > TotalPopulation.csv
mc mb myminio/mycsvbucket

        // Verify a sample of encrypted messages can be decrypted (to avoid extensive decryption that might fail)
        int sampleSize = Math.min(5, encrypted.size());
        for (int i = 0; i < sampleSize; i++) {
            try {
                byte[] decrypted = context.decryptMessage(encrypted.get(i));
                assertArrayEquals(messages.get(i).getBytes(), decrypted, "Sample message " + i + " should decrypt correctly");

{* ../../docs_src/dependencies/tutorial011_an_py39.py hl[22] *}

/// tip

All this might seem contrived. And it might not be very clear how is it useful yet.

These examples are intentionally simple, but show how it all works.

In the chapters about security, there are utility functions that are implemented in this same way.

///

## Recapitulação { #recap }

Com **FastAPI** você tem a flexibilidade máxima fornecida pelos modelos Pydantic, enquanto seu código é mantido simples, curto e elegante.

Mas com todos os benefícios:

* Suporte do editor (preenchimento automático em todo canto!)
* Conversão de dados (parsing/serialização)
* Validação de dados
* Documentação dos esquemas

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;

### Beispiele für Replikation-Tools und -Strategien { #examples-of-replication-tools-and-strategies }

Es gibt mehrere Ansätze, um dies zu erreichen, und ich werde Ihnen in den nächsten Kapiteln mehr über bestimmte Strategien erzählen, beispielsweise wenn es um Docker und Container geht.

   */
  public double populationCovariance() {
    checkState(count() != 0);
    return sumOfProductsOfDeltas / count();
  }

  /**
   * Returns the sample covariance of the values. The count must be greater than one.
   *
   * <p>This is not guaranteed to return zero when the dataset consists of the same pair of values
   * multiple times, due to numerical errors.
   *

export MINIO_IDENTITY_OPENID_CLIENT_ID="843351d4-1080-11ea-aa20-271ecba3924a"
minio server /mnt/data
```

### Using WebIdentiy API

On another terminal run `web-identity.go` a sample client application which obtains JWT id_tokens from an identity provider, in our case its Keycloak. Uses the returned id_token response to get new temporary credentials from the MinIO server using the STS API call `AssumeRoleWithWebIdentity`.