list.add("cool");
    assertTrue(iterable.allMatch(predicate));
    list.add("pants");
    assertFalse(iterable.allMatch(predicate));
  }

  public void testFirstMatch() {
    FluentIterable<String> iterable = FluentIterable.from(Lists.newArrayList("cool", "pants"));
    assertThat(iterable.firstMatch(equalTo("cool"))).hasValue("cool");
    assertThat(iterable.firstMatch(equalTo("pants"))).hasValue("pants");

	root         string     `msg:"root"`
	fileNotFound bool       `msg:"fnf"`
	status       scanStatus `msg:"stat"`
	recursive    bool       `msg:"rec"`
	dataVersion  uint8      `msg:"v"`
}

func (m *metacache) finished() bool {
	return !m.ended.IsZero()
}

// worthKeeping indicates if the cache by itself is worth keeping.
func (m *metacache) worthKeeping() bool {
	if m == nil {
		return false
	}
	cache := m

  // TODO(b/74949947): mutations currently trigger a warning instead of a bad
  // status, this should be reverted when possible.
  tensorflow::gtl::FlatMap<TF_Session*, tensorflow::string> sessions
      TF_GUARDED_BY(mu);
  bool delete_requested TF_GUARDED_BY(mu);  // set true by TF_DeleteGraph

  // Used to link graphs contained in TF_WhileParams to the parent graph that
  // will eventually contain the full while loop.
  TF_Graph* parent;

		accessKey  string
		secretKey  string
		// Sent body
		body []byte
		// Expected response
		expectedRespStatus int
		lifecycleResponse  []byte
		errorResponse      APIErrorResponse
		shouldPass         bool
	}{
		// GET empty credentials
		{
			method: http.MethodGet, bucketName: bucketName,
			accessKey:          "",
			secretKey:          "",
			expectedRespStatus: http.StatusForbidden,

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

  ca-certificates \
  curl \
  iptables \
  iproute2 \
  iputils-ping \
  knot-dnsutils \
  netcat-openbsd \
  tcpdump \
  conntrack \
  bsdmainutils \
  net-tools \
  lsof \
  sudo \
  && update-ca-certificates \
  && apt-get upgrade -y \
  && apt-get clean \
  && rm -rf  /var/log/*log /var/lib/apt/lists/* /var/log/apt/* /var/lib/dpkg/*-old /var/cache/debconf/*-old \

absl::Status RunAndMaybeSum(AbstractContext* ctx, Model forward,
                            absl::Span<AbstractTensorHandle* const> inputs,
                            absl::Span<AbstractTensorHandle*> outputs,
                            bool use_function) {
  AbstractTensorHandle* model_outputs[1];

  // Run the model.
  TF_RETURN_IF_ERROR(
      RunModel(forward, ctx, inputs, model_outputs, use_function));

// XdsStatusWriter enables printing of sync status using multiple xdsapi.DiscoveryResponse Istiod responses
type XdsStatusWriter struct {
	Writer                 io.Writer
	Namespace              string
	InternalDebugAllIstiod bool
}

type xdsWriterStatus struct {
	proxyID               string
	clusterID             string
	istiodID              string
	istiodVersion         string
	clusterStatus         string

// and parses and instantiates macro definitions.
type Input struct {
	Stack
	includes        []string
	beginningOfLine bool
	ifdefStack      []bool
	macros          map[string]*Macro
	text            string // Text of last token returned by Next.
	peek            bool
	peekToken       ScanToken
	peekText        string
}

// NewInput returns an Input from the given path.
func NewInput(name string) *Input {

app = FastAPI()

oauth2_scheme = OAuth2PasswordBearer(tokenUrl="token")


class User(BaseModel):
    username: str
    email: Union[str, None] = None
    full_name: Union[str, None] = None
    disabled: Union[bool, None] = None


def fake_decode_token(token):
    return User(
        username=token + "fakedecoded", email="******@****.***", full_name="John Doe"
    )