}

	// Validate all the test cases.
	for i, testCase := range testCases {
		actualInfo, actualErr := obj.PutObjectPart(context.Background(), testCase.bucketName, testCase.objName, testCase.uploadID, testCase.PartID, mustGetPutObjReader(t, bytes.NewBufferString(testCase.inputReaderData), testCase.inputDataSize, testCase.inputMd5, testCase.inputSHA256), opts)
		// All are test cases above are expected to fail.

			t.Errorf("Test %d: %s: Expected to fail with error \"%v\", but instead failed with error \"%v\" instead.", i, instanceType, testCase.expectedError, actualErr)
			continue
		}
		// Test passes as expected, but the output values are verified for correctness here.
		if actualErr == nil {
			// Asserting whether the md5 output is correct.

- Choosing an erasure set for the object is decided during `PutObject()`, object names are used to find the right erasure set using the following pseudo code.

```go
// hashes the key returning an integer.
func sipHashMod(key string, cardinality int, id [16]byte) int {
        if cardinality <= 0 {
                return -1
        }
        sip := siphash.New(id[:])

**replication** at the cluster level, with multiple **containers**. In those cases, you are better off **building an image from scratch** as described above: [Build a Docker Image for FastAPI](#build-a-docker-image-for-fastapi).

This image would be useful mainly in the special cases described above in [Containers with Multiple Processes and Special Cases](#containers-with-multiple-processes-and-special-cases). For example, if your application is **simple enough** that setting a default...

Inclus des librairies externes basées, aussi, sur Pydantic, servent d'<abbr title="Object-Relational Mapper">ORM</abbr>s, <abbr title="Object-Document Mapper">ODM</abbr>s pour les bases de données.

If your database is stolen, the thief won't have your users' plaintext passwords, only the hashes.

So, the thief won't be able to try to use that password in another system (as many users use the same password everywhere, this would be dangerous).

## Install `passlib`

PassLib is a great Python package to handle password hashes.

It supports many secure hashing algorithms and utilities to work with them.

      "type": "bargauge"
    },
    {
      "aliasColors": {
        "S3 Errors": "light-red",
        "S3 Requests": "light-green"
      },
      "bars": false,
      "dashLength": 10,
      "dashes": false,
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fill": 1,
      "fillGradient": 0,
      "gridPos": {
        "h": 6,
        "w": 6,

 * This class currently pins a certificate's Subject Public Key Info as described on
 * [Adam Langley's Weblog][langley]. Pins are either base64 SHA-256 hashes as in
 * [HTTP Public Key Pinning (HPKP)][rfc_7469] or SHA-1 base64 hashes as in Chromium's
 * [static certificates][static_certificates].
 *
 * ## Setting up Certificate Pinning
 *

      return ByteStreams.readBytes(in, processor);
    } catch (Throwable e) {
      throw closer.rethrow(e);
    } finally {
      closer.close();
    }
  }

  /**
   * Hashes the contents of this byte source using the given hash function.
   *
   * @throws IOException if an I/O error occurs while reading from this source
   */
  public HashCode hash(HashFunction hashFunction) throws IOException {

				}
			}
			// Since there are cases for which ListObjects fails, this is
			// necessary. Test passes as expected, but the output values
			// are verified for correctness here.
			if err == nil && testCase.shouldPass {
				// The length of the expected ListObjectsResult.Objects
				// should match in both expected result from test cases
				// and in the output. On failure calling t.Fatalf,