return
	}
	visited[dtype] = true
	switch dt := dtype.(type) {
	case *dwarf.TypedefType:
		if strings.HasPrefix(dt.Name, "__builtin") {
			// Don't look inside builtin types. There be dragons.
			return
		}
		if !p.typedefs[dt.Name] {
			p.typedefs[dt.Name] = true
			p.typedefList = append(p.typedefList, typedefInfo{dt.Name, pos})
			p.recordTypedefs1(dt.Type, pos, visited)
		}
	case *dwarf.PtrType:

// Timeout returns the current timeout value
func (dt *dynamicTimeout) Timeout() time.Duration {
	return time.Duration(atomic.LoadInt64(&dt.timeout))
}

func (dt *dynamicTimeout) RetryInterval() time.Duration {
	return dt.retryInterval
}

// LogSuccess logs the duration of a successful action that
// did not hit the timeout
func (dt *dynamicTimeout) LogSuccess(duration time.Duration) {
	dt.logEntry(duration)
}

 *
 * <h2>Collection types</h2>
 *
 * <dl>
 *   <dt>{@link Multimap}
 *   <dd>A new type, which is similar to {@link java.util.Map}, but may contain multiple entries
 *       with the same key. Some behaviors of {@link Multimap} are left unspecified and are provided
 *       only by the subtypes mentioned below.
 *   <dt>{@link ListMultimap}

 *
 * <h2>Collection types</h2>
 *
 * <dl>
 *   <dt>{@link Multimap}
 *   <dd>A new type, which is similar to {@link java.util.Map}, but may contain multiple entries
 *       with the same key. Some behaviors of {@link Multimap} are left unspecified and are provided
 *       only by the subtypes mentioned below.
 *   <dt>{@link ListMultimap}

@needs_pydanticv1
def test_pydanticv1():
    class ModelWithDatetimeField(BaseModel):
        dt_field: datetime

        class Config:
            json_encoders = {
                datetime: lambda dt: dt.replace(
                    microsecond=0, tzinfo=timezone.utc
                ).isoformat()
            }

    app = FastAPI()
    model = ModelWithDatetimeField(dt_field=datetime(2019, 1, 1, 8))

    from pydantic import field_serializer

    class ModelWithCustomEncoder(BaseModel):
        dt_field: datetime

        @field_serializer("dt_field")
        def serialize_dt_field(self, dt):
            return dt.replace(microsecond=0, tzinfo=timezone.utc).isoformat()

    class ModelWithCustomEncoderSubclass(ModelWithCustomEncoder):
        pass

    model = ModelWithCustomEncoder(dt_field=datetime(2019, 1, 1, 8))

namespace tensorflow {
namespace {

absl::Status ValidateNonRefOutput(const Node* node, int idx) {
  const DataType& dt = node->output_type(idx);
  return IsRefType(dt)
             ? InvalidArgument("Output ", idx, " of node '", node->name(),
                               "' has a reference type ", DataTypeString(dt))
             : absl::OkStatus();
}

// Converts `ninputs` and `inputs` into `inputs_tensors` and `input_nodes` and

	GOPATH = ""

	// GOROOT - GOROOT value at the time of build.
	GOROOT = ""

	// Version - version time.RFC3339.
	Version = "DEVELOPMENT.GOGET"

	// ReleaseTag - release tag in TAG.%Y-%m-%dT%H-%M-%SZ.
	ReleaseTag = "DEVELOPMENT.GOGET"

	// CommitID - latest commit id.
	CommitID = "DEVELOPMENT.GOGET"

	// ShortCommitID - first 12 characters from CommitID.
	ShortCommitID = "DEVELOPMENT.GOGET"

ata(Rt,a)),"init"===t&&a[t]()}))},e}();n.default(window).on("load.lte.treeview",(function(){n.default(Nt).each((function(){$t._jQueryInterface.call(n.default(this),"init")}))})),n.default.fn[Dt]=$t._jQueryInterface,n.default.fn[Dt].Constructor=$t,n.default.fn[Dt].noConflict=function(){return n.default.fn[Dt]=At,$t._jQueryInterface},e.CardRefresh=f,e.CardWidget=I,e.ControlSidebar=M,e.DirectChat=P,e.Dropdown=V,e.ExpandableTable=te,e.Fullscreen=re,e.IFrame=Qe,e.Layout=Me,e.NavbarSearch=Ct,e.PushMen...

                                }
                                final Date dt = FessFunctions.parseDate(values[0], dateFormat);
                                if (dt != null) {
                                    dataMap.put(mapping.getValue1(), FessFunctions.formatDate(dt));
                                } else {
                                    logger.warn("Failed to parse {}", mapping);