09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

</div>

And copy the output to the variable `SECRET_KEY` (don't use the one in the example).

Create a variable `ALGORITHM` with the algorithm used to sign the JWT token and set it to `"HS256"`.

Create a variable for the expiration of the token.

Define a Pydantic Model that will be used in the token endpoint for the response.

  }

  // Ordering<Object> singletons

  /**
   * Returns an ordering which treats all values as equal, indicating "no ordering." Passing this
   * ordering to any <i>stable</i> sort algorithm results in no change to the order of elements.
   * Note especially that {@link #sortedCopy} and {@link #immutableSortedCopy} are stable, and in
   * the returned instance these are implemented by simply copying the source list.

                file.deleteOnExit();
            }
        }
    }

    private ChecksumObserver addChecksumObserver(Wagon wagon, String algorithm) throws TransferFailedException {
        try {
            ChecksumObserver checksumObserver = new ChecksumObserver(algorithm);
            wagon.addTransferListener(checksumObserver);
            return checksumObserver;
        } catch (NoSuchAlgorithmException e) {

  }

  // Ordering<Object> singletons

  /**
   * Returns an ordering which treats all values as equal, indicating "no ordering." Passing this
   * ordering to any <i>stable</i> sort algorithm results in no change to the order of elements.
   * Note especially that {@link #sortedCopy} and {@link #immutableSortedCopy} are stable, and in
   * the returned instance these are implemented by simply copying the source list.

        Model child = getModel(baseName + "-child");

        if (fromRepo) {
            // when model is read from repo, a stream is used, then pomFile == null
            // (has consequences in inheritance algorithm since getProjectDirectory() returns null)
            parent = Model.newBuilder(parent, true).pomFile(null).build();
            child = Model.newBuilder(child, true).pomFile(null).build();
        }

			checksumInfo := meta.Erasure.GetChecksumInfo(meta.Parts[0].Number)
			verifyErr := bitrotVerify(bytes.NewReader(meta.Data),
				int64(len(meta.Data)),
				meta.Erasure.ShardFileSize(meta.Size),
				checksumInfo.Algorithm,
				checksumInfo.Hash, meta.Erasure.ShardSize())
			dataErrsByPart[0][i] = convPartErrToInt(verifyErr)
			continue
		}

		var (
			verifyErr  error
			verifyResp *CheckPartsResp
		)

        }

        return model;
    }

    /**
     * Interpolates all expressions in the src parameter.
     * <p>
     * The algorithm used for each expression is:
     * <ul>
     *   <li>If it starts with either "pom." or "project.", the expression is evaluated against the model.</li>
     *   <li>If the value is null, get the value from the context.</li>

     */
    List<Method> get(String key) {
        return methodByNameMap.get(key);
    }

    /**
     * Find a method.  Attempts to find the
     * most specific applicable method using the
     * algorithm described in the JLS section
     * 15.12.2 (with the exception that it can't
     * distinguish a primitive type argument from
     * an object type argument, since in reflection

 * k). In benchmarks, this implementation performs at least as well as either implementation, and
 * degrades more gracefully for worst-case input.
 *
 * <p>The implementation does not necessarily use a <i>stable</i> sorting algorithm; when multiple
 * equivalent elements are added to it, it is undefined which will come first in the output.
 *
 * @author Louis Wasserman
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
final class TopKSelector<

    //     fgh[b]c|[a]de -> fgh[a]c|[b]de. Finally we need to swap [c] with [b]:
    //     fgha[c]|[b]de -> fgha[b]|[c]de. Because these two blocks are the same size, we are done.
    // The Dolphin algorithm is attractive because it does the fewest array reads and writes: each
    // array slot is read and written exactly once. However, it can have very poor memory locality: