here. storageClass: "" VolumeName: "" accessMode: ReadWriteOnce size: 500Gi ## If subPath is set mount a sub folder of a volume instead of the root of the volume. ## This is especially handy for volume plugins that don't natively support sub mounting (like glusterfs). ## subPath: "" ## Expose the MinIO service to be accessed from outside the cluster (LoadBalancer service). ## or access it from within the cluster (ClusterIP service). Set the service type and the port to serve it. ## ref: http://kuber...

here. storageClass: "" VolumeName: "" accessMode: ReadWriteOnce size: 500Gi ## If subPath is set mount a sub folder of a volume instead of the root of the volume. ## This is especially handy for volume plugins that don't natively support sub mounting (like glusterfs). ## subPath: "" ## Expose the MinIO service to be accessed from outside the cluster (LoadBalancer service). ## or access it from within the cluster (ClusterIP service). Set the service type and the port to serve it. ## ref: http://kuber...

here. storageClass: "" VolumeName: "" accessMode: ReadWriteOnce size: 500Gi ## If subPath is set mount a sub folder of a volume instead of the root of the volume. ## This is especially handy for volume plugins that don't natively support sub mounting (like glusterfs). ## subPath: "" ## Expose the MinIO service to be accessed from outside the cluster (LoadBalancer service). ## or access it from within the cluster (ClusterIP service). Set the service type and the port to serve it. ## ref: http://kuber...

You could use it while developing your app to log the body and debug it, return it to the user, etc.

```Python hl_lines="14"
{!../../docs_src/handling_errors/tutorial005.py!}
```

Now try sending an invalid item like:

```JSON
{
  "title": "towel",
  "size": "XL"
}
```

You will receive a response telling you that the data is invalid containing the received body:

```JSON hl_lines="12-15"
{

  }

  /**
   * Generate an error if the host might be a non-bracketed IPv6 literal.
   *
   * <p>URI formatting requires that IPv6 literals be surrounded by brackets, like "[2001:db8::1]".
   * Chain this call after {@link #fromString(String)} to increase the strictness of the parser, and
   * disallow IPv6 literals that don't contain these brackets.
   *

 *
 * <p>If not all classes on the classpath should be covered, {@link #ignoreClasses} can be used to
 * exclude certain classes. As a special case, classes with an underscore in the name (like {@code
 * AutoValue_Foo}) can be excluded using <code>ignoreClasses({@link #UNDERSCORE_IN_NAME})</code>.
 *
 * <p>{@link #setDefault} allows subclasses to specify default values for types.
 *

import java.util.Set;
import javax.annotation.CheckForNull;

/**
 * An implementation of {@code RangeMap} based on a {@code TreeMap}, supporting all optional
 * operations.
 *
 * <p>Like all {@code RangeMap} implementations, this supports neither null keys nor null values.
 *
 * @author Louis Wasserman
 * @since 14.0
 */
@SuppressWarnings("rawtypes") // https://github.com/google/guava/issues/989

their own appropriate notices.

4. COMMERCIAL DISTRIBUTION

Commercial distributors of software may accept certain responsibilities
with respect to end users, business partners and the like. While this
license is intended to facilitate the commercial use of the Program,
the Contributor who includes the Program in a commercial product
offering should do so in a manner which does not create potential

  /**
   * The current state of the service. This should be written with the lock held but can be read
   * without it because it is an immutable object in a volatile field. This is desirable so that
   * methods like {@link #state}, {@link #failureCause} and notably {@link #toString} can be run
   * without grabbing the lock.
   *
   * <p>To update this field correctly the lock must be held to guarantee that the state is
   * consistent.

    to the layer came from a keras input.
*   Clean up `BatchNormalization` layer's `trainable` property to act like
    standard python state when it's used inside `tf.functions` (frozen at
    tracing time), instead of acting like a pseudo-variable whose updates *kind
    of sometimes* get reflected in already-traced `tf.function` traces.
*   Add the `Conv1DTranspose` layer.