APIs will be removed as well.
    *   `tf.keras.callbacks.experimental.BackupAndRestore` is now available as
        `tf.keras.callbacks.BackupAndRestore`. The experimental endpoint is
        deprecated and will be removed in a future release.
    *   `tf.keras.experimental.SidecarEvaluator` is now available as
        `tf.keras.utils.SidecarEvaluator`. The experimental endpoint is

            assertThrows(IOException.class, () -> Transport.readn(is, new byte[5], 0, 10));
        }

        @Test
        @DisplayName("readn should return 0 when no more bytes available")
        void shouldReturnZeroWhenStreamEmpty() throws IOException {
            InputStream is = new ByteArrayInputStream("Hi".getBytes());
            byte[] buffer = new byte[10];

A major advantage of certificate-based authentication compared to other STS authentication methods, like OpenID Connect or LDAP/AD, is that client authentication works without any additional/external component that must be constantly available. Therefore, certificate-based authentication may provide better availability / lower operational complexity.

You could also use `from starlette.middleware.cors import CORSMiddleware`.

**FastAPI** provides several middlewares in `fastapi.middleware` just as a convenience for you, the developer. But most of the available middlewares come directly from Starlette.

    importlib.import_module("keras.src.optimizers")
except (ImportError, AttributeError):
  pass

del importlib

# Delete modules that should be hidden from dir().
# Don't fail if these modules are not available.
# For e.g. this file will be originally placed under tensorflow/_api/v1 which
# does not have "python", "core" directories. Then, it will be copied
# to tensorflow/ which does have these two directories.
try:

 * It uses a {@link UrlFilterService} to manage the URL filtering rules.
 * The class supports caching of include and exclude patterns for scenarios where a session ID is not available.
 * It also provides methods to initialize the filter with a session ID, clear the filter,
 * match a URL against the defined patterns, and process a URL to add include or exclude patterns based on predefined filtering patterns.
 *

    assertEquals(c, navigableSet.higher(a));
    assertEquals(c, navigableSet.higher(b));
    assertEquals(null, navigableSet.higher(c));
  }

  /*
   * TODO(cpovirk): make "too small" and "too large" elements available for better navigation
   * testing. At that point, we may be able to eliminate the "hole" tests, which would mean that
   * ContiguousSet's tests would no longer need to suppress them.
   */

        // When
        PropertyConfiguration testConfig = new PropertyConfiguration(props);

        // Then
        assertEquals("UTF-8", testConfig.getOemEncoding());
        // Note: getNativeCharset() is not available in the Configuration interface
        // Test a different configuration property instead
        assertTrue(testConfig.getNetbiosSoTimeout() > 0);
    }

    @Test

        }

        @Override
        public void waitForNoWaitingThreads() {
            // Do nothing in test
        }

        public void setComponentAvailable(boolean available) {
            this.componentAvailable = available;
        }

        public boolean isComponentAvailable() {
            return componentAvailable;
        }
    }

those same memory limits and requirements in your configurations for your container management system (for example in **Kubernetes**). That way it will be able to **replicate the containers** in the **available machines** taking into account the amount of memory needed by them, and the amount available in the machines in the cluster.

If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot...