* Maven provides implementations of those types and may inject them in plugins.
 * <p>
 * A type can be marked {@link Consumer} or {@link Provider} but not both. A type is assumed to be
 * {@link Consumer} if it is not marked either {@link Consumer} or {@link Provider}.
 * <p>
 * A package can be marked {@link Provider}. In this case, all types in the package are considered

#include <memory>
#include <optional>
#include <string>
#include <utility>
#include <vector>

#include "absl/status/status.h"
#include "absl/types/optional.h"
#include "absl/types/span.h"
#include "absl/types/variant.h"
#include "tensorflow/c/c_api.h"
#include "tensorflow/c/eager/c_api.h"
#include "tensorflow/c/eager/c_api_experimental.h"
#include "tensorflow/c/eager/tfe_op_internal.h"

     * ({@value #JAR} or {@value #CLASSPATH_JAR} types), then the test artifact will also be placed on the class-path.
     * Otherwise, if the main artifact is placed on the module-path ({@value #JAR} or {@value #MODULAR_JAR} types),
     * then the test artifact will be added using {@code --patch-module} option.
     */
    String TEST_JAR = "test-jar";

  @Param Result result;
  @Param ExceptionType exceptionType;
  /**
   * The number of other exception types in the cache of known-good exceptions and the number of
   * other {@code ClassValue} entries for the exception type to be tested. This lets us evaluate
   * whether our solution scales to use with multiple exception types and to whether it is affected

 *
 * <p>If you have an instance of one of the primary {@code common.graph} types ({@link Graph},
 * {@link ValueGraph}, and {@link Network}):
 *
 * <pre>{@code
 * someGraphAlgorithm(startNode, graph);
 * }</pre>
 *
 * This works because those types each implement {@code PredecessorsFunction}. It will also work
 * with any other implementation of this interface.
 *

  implementation("com.google.guava:guava:33.3.1-jre")

  // 2. Use Guava types in your public API:
  api("com.google.guava:guava:33.3.1-jre")

  // 3. Android - Use Guava in your implementation only:
  implementation("com.google.guava:guava:33.3.1-android")

  // 4. Android - Use Guava types in your public API:
  api("com.google.guava:guava:33.3.1-android")
}
```

For example, you cannot put a Pydantic model in a `JSONResponse` without first converting it to a `dict` with all the data types (like `datetime`, `UUID`, etc) converted to JSON-compatible types.

For those cases, you can use the `jsonable_encoder` to convert your data before passing it to a response:

```Python hl_lines="6-7  21-22"
{!../../docs_src/response_directly/tutorial001.py!}

![ReDoc](https://fastapi.tiangolo.com/img/index/index-06-redoc-02.png)

### En résumé

En résumé, vous déclarez **une fois** les types de paramètres, <abbr title="en anglais : body">le corps</abbr>  de la requête, etc. en tant que paramètres de fonction.

Vous faites cela avec les types Python standard modernes.

Vous n'avez pas à apprendre une nouvelle syntaxe, les méthodes ou les classes d'une bibliothèque spécifique, etc.

}

// DatabaseTypeName returns the database system name of the column type. If an empty
// string is returned, then the driver type name is not supported.
// Consult your driver documentation for a list of driver data types. Length specifiers
// are not included.
// Common type names include "VARCHAR", "TEXT", "NVARCHAR", "DECIMAL", "BOOL",
// "INT", and "BIGINT".
func (ct ColumnType) DatabaseTypeName() string {
	if ct.DataTypeValue.Valid {

    when (type) {
      // Special case types that have 0 or 1 flag.
      TYPE_SETTINGS, TYPE_PING -> return if (flags == FLAG_ACK) "ACK" else BINARY[flags]
      TYPE_PRIORITY, TYPE_RST_STREAM, TYPE_GOAWAY, TYPE_WINDOW_UPDATE -> return BINARY[flags]
    }
    val result = if (flags < FLAGS.size) FLAGS[flags]!! else BINARY[flags]
    // Special case types that have overlap flag values.
    return when {