golang.org/x/term v0.4.0/go.mod h1:9P2UbLfCdcvo3p/nzKvsmas4TnlujnuoV9hGgYzW1lQ=
golang.org/x/term v0.5.0/go.mod h1:jMB1sMXY+tzblOD4FWmEbocvup2/aLOaQEp7JmGp78k=
golang.org/x/term v0.8.0/go.mod h1:xPskH00ivmX89bAKVGSKKtLOWNx2+17Eiy94tnKShWo=
golang.org/x/term v0.17.0/go.mod h1:lLRBjIVuehSbZlaOtGMbcMncT+aqLLLmKrsjNrUguwk=
golang.org/x/term v0.18.0/go.mod h1:ILwASektA3OnRv7amZ1xhE/KTR+u50pbXfZ03+6Nx58=
golang.org/x/term v0.19.0 h1:+ThwsDv+tYfnJFhF4L8jITxu1tdTWRTZpdsWgEgjL6Q=

	xnet "github.com/minio/pkg/v2/net"
	"golang.org/x/term"
)

// serverDebugLog will enable debug printing
var (
	serverDebugLog     = env.Get("_MINIO_SERVER_DEBUG", config.EnableOff) == config.EnableOn
	currentReleaseTime time.Time
	orchestrated       = IsKubernetes() || IsDocker()
)

func init() {
	if !term.IsTerminal(int(os.Stdout.Fd())) || !term.IsTerminal(int(os.Stderr.Fd())) {
		color.TurnOff()
	}

This schema definition includes your API paths, the possible parameters they take, etc.

#### Data "schema"

The term "schema" might also refer to the shape of some data, like a JSON content.

In that case, it would mean the JSON attributes, and data types they have, etc.

#### OpenAPI and JSON Schema

golang.org/x/term v0.0.0-20201126162022-7de9c90e9dd1/go.mod h1:bj7SfCRtBDWHUb9snDiAeCFNEtKQo2Wmx5Cou7ajbmo=
golang.org/x/term v0.0.0-20210927222741-03fcf44c2211/go.mod h1:jbD1KX2456YbFQfuXm/mYQcufACuNUgVhRMnK/tPxf8=
golang.org/x/term v0.2.0/go.mod h1:TVmDHMZPmdnySmBfhjOoOdhjzdE1h4u1VwSiw2l1Nuc=
golang.org/x/term v0.5.0/go.mod h1:jMB1sMXY+tzblOD4FWmEbocvup2/aLOaQEp7JmGp78k=

		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrParseUnexpectedTerm: {
		Code:           "ParseUnexpectedTerm",
		Description:    "The SQL expression contains an unexpected term.",
		HTTPStatusCode: http.StatusBadRequest,
	},
	ErrParseUnexpectedToken: {
		Code:           "ParseUnexpectedToken",
		Description:    "The SQL expression contains an unexpected token.",

        *   Dynamic shapes are supported for generators by calling the Model on
            the first batch we "peek" from the generator. This used to happen
            implicitly in `Model._standardize_user_data`. Long-term, a solution
            where the `DataAdapter` doesn't need to call the Model is probably
            preferable.
    *   The SavedModel format now supports all Keras built-in layers (including

    * It's now possible to use [Starlette's `StreamingResponse`](https://www.starlette.io/responses/#streamingresponse) with iterators, like [file-like](https://docs.python.org/3/glossary.html#term-file-like-object) objects (as those returned by `open()`).
    * It's now possible to use the low level utility `iterate_in_threadpool` from `starlette.concurrency` (for advanced scenarios).