* **No compromise** with databases, frontends, etc. But easy integration with all of them.

### Unlimited "plug-ins" { #unlimited-plug-ins }

Or in other way, no need for them, import and use the code you need.

import org.jspecify.annotations.NullUnmarked;

/**
 * Utility class for being able to seed a {@link Random} value with a passed in seed from a
 * benchmark parameter.
 *
 * <p>TODO: Remove this class once Caliper has a better way.
 *
 * @author Nicholaus Shupe
 */
@NullUnmarked
public final class SpecialRandom extends Random {
  public static SpecialRandom valueOf(String s) {

  static Class<?> getArrayClass(Class<?> componentType) {
    // TODO(user): This is not the most efficient way to handle generic
    // arrays, but is there another way to extract the array class in a
    // non-hacky way (i.e. using String value class names- "[L...")?
    return Array.newInstance(componentType, 0).getClass();
  }

  /*

But at some point, there was no other option than creating something that provided all these features, taking the best ideas from previous tools, and combining them in the best way possible, using language features that weren't even available before (Python 3.6+ type hints).

## Previous tools { #previous-tools }

	 Hash=a79b48fd6a1f31699c788b50c97d0b98

uid Square Clippy <******@****.***>
sig  sig  66b50994442d2d40 2021-07-09T14:50:19Z 2041-07-04T14:50:19Z ____________________ [selfsig]
```

The best way to verify artifacts is [automatically with Gradle][gradle_verification].


[gradle_verification]: https://docs.gradle.org/current/userguide/dependency_verification.html#sec:signature-verification

for the Android flavor.

[Snapshot API Javadoc][guava-snapshot-api-docs] as well as
[Snapshot API Diffs][guava-snapshot-api-diffs] are also available.

Another easy way to get to the Javadoc is to open
[guava.dev/api](https://guava.dev/api). You can also jump right to a specific
class by appending the class name to guava.dev. For example,
[guava.dev/ImmutableList](https://guava.dev/ImmutableList)!

# Path Parameters and Numeric Validations { #path-parameters-and-numeric-validations }

In the same way that you can declare more validations and metadata for query parameters with `Query`, you can declare the same type of validations and metadata for path parameters with `Path`.

## Import Path { #import-path }

First, import `Path` from `fastapi`, and import `Annotated`:

{* ../../docs_src/path_params_numeric_validations/tutorial001_an_py310.py hl[1,3] *}

trap 'rm -rf "${GRADLE_TEMP}"' EXIT

# The Gradle tests need the pom.xml only to read its version number.
# (And the file needs to be two directory levels up from the Gradle build file.)
# TODO(cpovirk): Find a better way to give them that information.
cp pom.xml "${GRADLE_TEMP}"

for version in 5.6.4 7.0.2; do
  # Enter a subshell so that we return to the current directory afterward.
  (

So, a `datetime` object would have to be converted to a `str` containing the data in <a href="https://en.wikipedia.org/wiki/ISO_8601" class="external-link" target="_blank">ISO format</a>.

The same way, this database wouldn't receive a Pydantic model (an object with attributes), only a `dict`.

You can use `jsonable_encoder` for that.

It receives an object, like a Pydantic model, and returns a JSON compatible version:

DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY
THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.