When creating a **FastAPI** class instance or an `APIRouter` you can specify which response class to use by default.

The parameter that defines this is `default_response_class`.

In the example below, **FastAPI** will use `ORJSONResponse` by default, in all *path operations*, instead of `JSONResponse`.

{* ../../docs_src/custom_response/tutorial010.py hl[2,4] *}

/// tip

        dst[dstIndex++] = (byte) (this.byteCount >> 8 & 0xFF);
        dstIndex += this.byteCount;

        /*
         * Normally, without intervention everything would batch
         * with everything else. If the below clause evaluates true
         * the andx command will not be written and therefore the
         * response will not read a batched command and therefore
         * the 'received' member of the response object will not

It will have a property `scopes` with a list containing all the scopes required by itself and all the dependencies that use this as a sub-dependency. That means, all the "dependants"... this might sound confusing, it is explained again later below.

The `security_scopes` object (of class `SecurityScopes`) also provides a `scope_str` attribute with a single string, containing those scopes separated by spaces (we are going to use it).

      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications

      Object form, made available under the License, as indicated by a
      copyright notice that is included in or attached to the work
      (an example is provided in the Appendix below).

      "Derivative Works" shall mean any work, whether in Source or Object
      form, that is based on (or derived from) the Work and for which the
      editorial revisions, annotations, elaborations, or other modifications

License, supplemented by the additional permissions listed below.

  0. Additional Definitions.

  As used herein, "this License" refers to version 3 of the GNU Lesser
General Public License, and the "GNU GPL" refers to version 3 of the GNU
General Public License.

  "The Library" refers to a covered work governed by this License,
other than an Application or a Combined Work as defined below.

	prog := &obj.Prog{
		Ctxt: p.ctxt,
		As:   obj.ATEXT,
		Pos:  p.pos(),
		From: nameAddr,
		To: obj.Addr{
			Type:   obj.TYPE_TEXTSIZE,
			Offset: frameSize,
			// Argsize set below.
		},
	}
	nameAddr.Sym.Func().Text = prog
	prog.To.Val = int32(argSize)
	p.append(prog, "", true)
}

// asmData assembles a DATA pseudo-op.
// DATA masks<>+0x00(SB)/4, $0x00000000

    fifty percent (50%) of the outstanding shares or beneficial
    ownership of such entity.

2. License Grants.

    2.1. The Initial Developer Grant.

    Conditioned upon Your compliance with Section 3.1 below and subject
    to third party intellectual property claims, the Initial Developer
    hereby grants You a world-wide, royalty-free, non-exclusive license:

    (a) under intellectual property rights (other than patent or

"ClusterIP" "NodePort" }} Minio can be accessed via port {{ .Values.service.port }} on the following DNS name from within your cluster: {{ template "minio.fullname" . }}.{{ .Release.Namespace }}.svc.cluster.local To access Minio from localhost, run the below commands: 1. export POD_NAME=$(kubectl get pods --namespace {{ .Release.Namespace }} -l "release={{ .Release.Name }}" -o jsonpath="{.items[0].metadata.name}") 2. kubectl port-forward $POD_NAME 9000 --namespace {{ .Release.Namespace }} Read more about...

  // Update the vector with information from `input_tensors` if provided.
  if (input_tensors != nullptr) {
    // Note that we take the address of the elements in `all_input_tensors`
    // below. Allocate enough space so that no reallocation happens, which will
    // make the pointers invalid.
    all_input_tensors.reserve(num_inputs);
    for (int i = 0; i < num_inputs; ++i) {