@app.patch("/items/{item_id}", response_model=Item)
async def update_item(item_id: str, item: Item):
    stored_item_data = items[item_id]
    stored_item_model = Item(**stored_item_data)
    update_data = item.dict(exclude_unset=True)
    updated_item = stored_item_model.copy(update=update_data)
    items[item_id] = jsonable_encoder(updated_item)

@app.patch("/items/{item_id}", response_model=Item)
async def update_item(item_id: str, item: Item):
    stored_item_data = items[item_id]
    stored_item_model = Item(**stored_item_data)
    update_data = item.dict(exclude_unset=True)
    updated_item = stored_item_model.copy(update=update_data)
    items[item_id] = jsonable_encoder(updated_item)

        if q0[k] != q1[k]:
            changed += 1

    print("## +++ ", args.new)
    print("## --- ", args.orig)
    print("## Added:", len(added))
    print("## Removed:", len(removed))
    print("## Updated:", changed)
    print("## Unchanged:", len(common) - changed)

    for k in sorted(added):
        print("+", k)

    for k in sorted(removed):
        print("-", k)

    print("##", "*" * 25)

def _regenerate_error_with_loc(
    *, errors: Sequence[Any], loc_prefix: Tuple[Union[str, int], ...]
) -> List[Dict[str, Any]]:
    updated_loc_errors: List[Any] = [
        {**err, "loc": loc_prefix + err.get("loc", ())}
        for err in _normalize_errors(errors)
    ]

    return updated_loc_errors


def _annotation_is_sequence(annotation: Union[Type[Any], None]) -> bool:

                )
            elif already_notified_comment:
                updated_comment = update_comment(
                    settings=settings,
                    comment_id=already_notified_comment.id,
                    body=done_translation_message,
                )
                logging.info(f"Marked as done in comment: {updated_comment.url}")
        else:
            logging.info(

@app.patch("/items/{item_id}", response_model=Item)
async def update_item(item_id: str, item: Item):
    stored_item_data = items[item_id]
    stored_item_model = Item(**stored_item_data)
    update_data = item.dict(exclude_unset=True)
    updated_item = stored_item_model.copy(update=update_data)
    items[item_id] = jsonable_encoder(updated_item)

    subprocess.run(["git", "checkout", "-b", branch_name], check=True)
    logging.info("Adding updated file")
    subprocess.run(
        ["git", "add", str(people_path), str(github_sponsors_path)], check=True
    )
    logging.info("Committing updated file")
    message = "👥 Update FastAPI People"
    result = subprocess.run(["git", "commit", "-m", message], check=True)
    logging.info("Pushing branch")

# API IMPORTS PLACEHOLDER

# WRAPPER_PLACEHOLDER

if "dev" in __version__:   # pylint: disable=undefined-variable
  _logging.warning("""

  TensorFlow's `tf-nightly` package will soon be updated to TensorFlow 2.0.

  Please upgrade your code to TensorFlow 2.0:
    * https://www.tensorflow.org/guide/migrate

  Or install the latest stable TensorFlow 1.X release:
    * `pip install -U "tensorflow==1.*"`

    """
    typer.echo("Verifying mkdocs.yml")
    config = get_en_config()
    updated_config = get_updated_config_content()
    if config != updated_config:
        typer.secho(
            "docs/en/mkdocs.yml outdated from docs/language_names.yml, "
            "update language_names.yml and run "
            "python ./scripts/docs.py update-languages",
            color=typer.colors.RED,
        )
        raise typer.Abort()

# Disable clang extension that rejects type definitions within offsetof.
# This was added in clang-16 by https://reviews.llvm.org/D133574.
# Still required for clang-17.
# Can be removed once upb is updated, since a type definition is used within
# offset of in the current version of ubp. See
# https://github.com/protocolbuffers/upb/blob/9effcbcb27f0a665f9f345030188c0b291e32482/upb/upb.c#L183.