* Use of hierarchical Pydantic models, Python `typing`’s `List` and `Dict`, etc.
    * And validators allow complex data schemas to be clearly and easily defined, checked and documented as JSON Schema.
    * You can have deeply **nested JSON** objects and have them all validated and annotated.
* **Extensible**:
    * Pydantic allows custom data types to be defined or you can extend validation with methods on a model decorated with the validator decorator.

            return 0;
        }
        final Calendar cal = getCurrentCal();
        final int h = cal.get(Calendar.HOUR_OF_DAY);
        final int m = cal.get(Calendar.MINUTE);
        final int d = cal.get(Calendar.DAY_OF_WEEK); // SUN(1) - SAT(7)
        for (final IntervalRule rule : ruleList) {
            if (rule.isTarget(h, m, d)) {
                return rule.getDelay();
            }
        }
        return 0;
    }

      }
      return n;
    } finally {
      monitor.leave();
    }
  }

  /**
   * Returns an iterator over the elements in this queue in proper sequence. The returned {@code
   * Iterator} is a "weakly consistent" iterator that will never throw {@link
   * ConcurrentModificationException}, and guarantees to traverse elements as they existed upon

    ./gradlew wrapper --gradle-distribution-url=file:/path/to/gradle-<version>-all.zip

## Our thanks

We deeply appreciate your effort toward improving Gradle. For any contribution, large or small, you will be immortalized in the release notes for the version you've contributed to.

 *         });
 * }</pre>
 *
 * <p>The returned cache implements all optional operations of the {@link LoadingCache} and {@link
 * Cache} interfaces. The {@code asMap} view (and its collection views) have <i>weakly consistent
 * iterators</i>. This means that they are safe for concurrent use, but if other threads modify the
 * cache after the iterator is created, it is undefined which of these changes, if any, are

      monitor.leave();
    }
  }

  /**
   * Returns an iterator over the elements in this queue. The iterator does not return the elements
   * in any particular order. The returned {@code Iterator} is a "weakly consistent" iterator that
   * will never throw {@link ConcurrentModificationException}, and guarantees to traverse elements
   * as they existed upon construction of the iterator, and may (but is not guaranteed to) reflect

 *         });
 * }</pre>
 *
 * <p>The returned cache implements all optional operations of the {@link LoadingCache} and {@link
 * Cache} interfaces. The {@code asMap} view (and its collection views) have <i>weakly consistent
 * iterators</i>. This means that they are safe for concurrent use, but if other threads modify the
 * cache after the iterator is created, it is undefined which of these changes, if any, are

      }
      return n;
    } finally {
      monitor.leave();
    }
  }

  /**
   * Returns an iterator over the elements in this queue in proper sequence. The returned {@code
   * Iterator} is a "weakly consistent" iterator that will never throw {@link
   * ConcurrentModificationException}, and guarantees to traverse elements as they existed upon

That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.

  // Returns true if `Accumulate` is active somewhere above on the stack and
  // there isn't an intervening PushState. This is useful for ordering
  // ForwardAccumulators, where more deeply nested accumulators should not see
  // computations from less deeply nested accumulators.
  bool BusyAccumulating() const { return call_state_.top().accumulating; }

  // Fetches the current Jacobian-vector product associated with `tensor_id`, or