Contributions with other software (except as part of its Contributor
        Version); or

     c. under Patent Claims infringed by Covered Software in the absence of its
        Contributions.

     This License does not grant any rights in the trademarks, service marks, or
     logos of any Contributor (except as may be necessary to comply with the
     notice requirements in Section 3.4).

Two new interfaces, [TextAppender] and [BinaryAppender], have been
introduced to append the textual or binary representation of an object
to a byte slice. These interfaces provide the same functionality as
[TextMarshaler] and [BinaryMarshaler], but instead of allocating a new slice

   * specified accumulator function, returning the new value. The previous value associated with
   * {@code key} (or zero, if there is none) is passed as the first argument to {@code
   * accumulatorFunction}, and {@code x} is passed as the second argument.
   *
   * @since 21.0
   */
  @CanIgnoreReturnValue
  public long accumulateAndGet(K key, long x, LongBinaryOperator accumulatorFunction) {

try:
    from fastapi_cli.cli import main as cli_main

except ImportError:  # pragma: no cover
    cli_main = None  # type: ignore


def main() -> None:
    if not cli_main:  # type: ignore[truthy-function]
        message = 'To use the fastapi command, please install "fastapi[standard]":\n\n\tpip install "fastapi[standard]"\n'
        print(message)
        raise RuntimeError(message)  # noqa: B904

                    <mxGeometry relative="1" as="geometry">
                        <mxPoint x="105" y="-280" as="sourcePoint"/>
                        <mxPoint x="390" y="-260" as="targetPoint"/>
                        <Array as="points">
                            <mxPoint x="390" y="-430"/>
                        </Array>
                    </mxGeometry>

whether these uses were recommended or considered safe, or where we recommend
some form of isolation when dealing with untrusted data. As a result, this
document also outlines what issues we consider as TensorFlow security
vulnerabilities.

We recognize issues as vulnerabilities only when they occur in scenarios that we
outline as safe; issues that have a security impact only when TensorFlow is used

          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and

          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and

from fastapi import BackgroundTasks, FastAPI

app = FastAPI()


def write_notification(email: str, message=""):
    with open("log.txt", mode="w") as email_file:
        content = f"notification for {email}: {message}"
        email_file.write(content)


@app.post("/send-notification/{email}")
async def send_notification(email: str, background_tasks: BackgroundTasks):

          do not modify the License. You may add Your own attribution
          notices within Derivative Works that You distribute, alongside
          or as an addendum to the NOTICE text from the Work, provided
          that such additional attribution notices cannot be construed
          as modifying the License.

      You may add Your own copyright statement to Your modifications and