# Target explicitly set
    :
elif [[ ${LOCAL_ARCH} == x86_64 ]]; then
    TARGET_ARCH=amd64
elif [[ ${LOCAL_ARCH} == armv8* ]]; then
    TARGET_ARCH=arm64
elif [[ ${LOCAL_ARCH} == arm64* ]]; then
    TARGET_ARCH=arm64
elif [[ ${LOCAL_ARCH} == aarch64* ]]; then
    TARGET_ARCH=arm64
elif [[ ${LOCAL_ARCH} == armv* ]]; then
    TARGET_ARCH=arm
elif [[ ${LOCAL_ARCH} == s390x ]]; then
    TARGET_ARCH=s390x

        dependant.request_param_name = param_name
        return True
    elif lenient_issubclass(type_annotation, WebSocket):
        dependant.websocket_param_name = param_name
        return True
    elif lenient_issubclass(type_annotation, HTTPConnection):
        dependant.http_connection_param_name = param_name
        return True
    elif lenient_issubclass(type_annotation, Response):

            resolve_file(item=item, files=files, config=config)
        elif isinstance(item, dict):
            assert len(item) == 1
            values = list(item.values())
            if not values:
                continue
            if isinstance(values[0], str):
                resolve_file(item=values[0], files=files, config=config)
            elif isinstance(values[0], list):

        elif pr.state == "closed" or approved_label in label_strs:
            logging.info(f"Already approved or closed PR #{pr.number}")
            if already_done_comment:
                logging.info(
                    f"This PR #{pr.number} was already marked as done in comment: {already_done_comment.url}"
                )
            elif already_notified_comment:

    user_input_origin = get_input(question)
    user_input = user_input_origin.strip().lower()
    if user_input == 'y':
      print(yes_reply)
      var = True
    elif user_input == 'n':
      print(no_reply)
      var = False
    elif not user_input:
      if enabled_by_default:
        print(yes_reply)
        var = True
      else:
        print(no_reply)
        var = False
    else:

    else
      wget $QUIET --http-user="$MVNW_USERNAME" --http-password="$MVNW_PASSWORD" "$wrapperUrl" -O "$wrapperJarPath" || rm -f "$wrapperJarPath"
    fi
  elif command -v curl >/dev/null; then
    log "Found curl ... using curl"
    [ "$MVNW_VERBOSE" = true ] && QUIET="" || QUIET="--silent"
    if [ -z "$MVNW_USERNAME" ] || [ -z "$MVNW_PASSWORD" ]; then

            example = getattr(field_info, "example", None)
            if openapi_examples:
                parameter["examples"] = jsonable_encoder(openapi_examples)
            elif example != Undefined:
                parameter["example"] = jsonable_encoder(example)
            if getattr(field_info, "deprecated", None):
                parameter["deprecated"] = True

## }
##
check_minimum_version() {
	IFS='.' read -r -a varray1 <<<"$1"
	IFS='.' read -r -a varray2 <<<"$2"

	for i in "${!varray1[@]}"; do
		if [[ ${varray1[i]} -lt ${varray2[i]} ]]; then
			return 0
		elif [[ ${varray1[i]} -gt ${varray2[i]} ]]; then
			return 1
		fi
	done

	return 0
}

assert_is_supported_arch() {
	case "${ARCH}" in
	x86_64 | amd64 | aarch64 | ppc64le | arm* | s390x | loong64 | loongarch64)

_API_MODULE = _sys.modules[__name__].bitwise
_tf_api_dir = _os.path.dirname(_os.path.dirname(_API_MODULE.__file__))
_current_module = _sys.modules[__name__]

if not hasattr(_current_module, "__path__"):
  __path__ = [_tf_api_dir]
elif _tf_api_dir not in __path__:
  __path__.append(_tf_api_dir)

# Hook external TensorFlow modules.

# Load tensorflow-io-gcs-filesystem if enabled
if (_os.getenv("TF_USE_MODULAR_FILESYSTEM", "0") == "true" or

        if (
            key in main_dict
            and isinstance(main_dict[key], dict)
            and isinstance(value, dict)
        ):
            deep_dict_update(main_dict[key], value)
        elif (
            key in main_dict
            and isinstance(main_dict[key], list)
            and isinstance(update_dict[key], list)
        ):
            main_dict[key] = main_dict[key] + update_dict[key]