DiskID  string `msg:"id"`
	Metrics bool   `msg:"m"`
	NoOp    bool   `msg:"np"`
}

// DiskInfo is an extended type which returns current
// disk usage per path.
// The above means that any added/deleted fields are incompatible.
//
// The above means that any added/deleted fields are incompatible.
//
//msgp:tuple DiskInfo
type DiskInfo struct {
	Total      uint64
	Free       uint64
	Used       uint64
	UsedInodes uint64

{!> ../../docs_src/body_nested_models/tutorial009.py!}
```

////

/// tip

Keep in mind that JSON only supports `str` as keys.

But Pydantic has automatic data conversion.

This means that, even though your API clients can only send strings as keys, as long as those strings contain pure integers, Pydantic will convert them and validate them.

    /**
     * Gets the identifiers of those profiles that should be activated by explicit demand.
     *
     * @return The identifiers of those profiles to activate, never {@code null}.
     */
    List<String> getActiveProfileIds();

    /**
     * Gets the identifiers of those profiles that should be deactivated by explicit demand.
     *
     * @return The identifiers of those profiles to deactivate, never {@code null}.
     */

// +union
message LimitResponse {
  // `type` is "Queue" or "Reject".
  // "Queue" means that requests that can not be executed upon arrival
  // are held in a queue until they can be executed or a queuing limit
  // is reached.
  // "Reject" means that requests that can not be executed upon arrival
  // are rejected.
  // Required.
  // +unionDiscriminator
  optional string type = 1;

// +union
message LimitResponse {
  // `type` is "Queue" or "Reject".
  // "Queue" means that requests that can not be executed upon arrival
  // are held in a queue until they can be executed or a queuing limit
  // is reached.
  // "Reject" means that requests that can not be executed upon arrival
  // are rejected.
  // Required.
  // +unionDiscriminator
  optional string type = 1;

# For example, the date you registered the record,
# the user who updated the record and so on...
# The column names are treated as case insensitive.
#
# The variable '$$AccessContext$$' means allcommon.AccessContext.
#
# Example:
# map:{
#     ; commonColumnMap = map:{
#         ; REGISTER_DATETIME=TIMESTAMP ; REGISTER_USER=VARCHAR
#         ; UPDATE_DATETIME=TIMESTAMP   ; UPDATE_USER=VARCHAR
#     }

  h. Licensor means the individual(s) or entity(ies) granting rights
     under this Public License.

  i. Share means to provide material to the public by any means or
     process that requires permission under the Licensed Rights, such
     as reproduction, public display, public performance, distribution,
     dissemination, communication, or importation, and to make material

In all the docs there are examples compatible with each version of Python (when there's a difference).

For example "**Python 3.6+**" means it's compatible with Python 3.6 or above (including 3.7, 3.8, 3.9, 3.10, etc). And "**Python 3.9+**" means it's compatible with Python 3.9 or above (including 3.10, etc).

menu, a prominent item in the list meets this criterion.

  1. Source Code.

  The "source code" for a work means the preferred form of the work
for making modifications to it.  "Object code" means any non-source
form of a work.

  A "Standard Interface" means an interface that either is an official
standard defined by a recognized standards body, or, in the case of

@ElementTypesAreNonnullByDefault
public interface TearDownAccepter {
  /**
   * Registers a TearDown implementor which will be run after the test proper.
   *
   * <p>In JUnit4 language, that means as an {@code @After}.
   *
   * <p>In JUnit3 language, that means during the {@link junit.framework.TestCase#tearDown()} step.
   */
  void addTearDown(TearDown tearDown);