if ( Character.isDigit(this.calledName.charAt(0)) ) {
            int i, len, dots;
            char[] data;

            i = dots = 0; /* quick IP address validation */
            len = this.calledName.length();
            data = this.calledName.toCharArray();
            while ( i < len && Character.isDigit(data[ i++ ]) ) {
                if ( i == len && dots == 3 ) {
                    // probably an IP address

    client = get_app_client()
    client_no = get_app_client(separate_input_output_schemas=False)
    data = {
        "name": "Plumbus",
        "sub": {"subname": "SubPlumbus", "sub_description": "Sub WTF"},
    }
    response = client.post("/items/", json=data)
    response2 = client_no.post("/items/", json=data)
    assert response.status_code == response2.status_code == 200, response.text
    assert (
        response.json()

</p>

<p>
Global data symbols are defined by a sequence of initializing
<code>DATA</code> directives followed by a <code>GLOBL</code> directive.
Each <code>DATA</code> directive initializes a section of the
corresponding memory.
The memory not explicitly initialized is zeroed.
The general form of the <code>DATA</code> directive is

<pre>
DATA	symbol+offset(SB)/width, value
</pre>

<p>

                    </mxGeometry>
                </mxCell>

When using Veeam Backup and Replication, you can use S3 compatible object storage such as MinIO as a capacity tier for backups.  This disaggregates storage for the Veeam infrastructure and allows you to retain control of your data. With the ease of use of setup and administration of MinIO, it allows a Veeam backup admin to easily deploy their own object store for capacity tiering.

## Prerequisites

   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *
   * <p>This fit minimizes the root-mean-square error in {@code y} as a function of {@code x}. This
   * error is defined as the square root of the mean of the squares of the differences between the
   * actual {@code y} values of the data and the values predicted by the fit for the {@code x}

                "price": 50.2,
                "tax": 10.5,
                "tags": [],
            },
        ),
    ],
)
def test_get(url, data, client: TestClient):
    response = client.get(url)
    assert response.status_code == 200, response.text
    assert response.json() == data


@needs_py39
def test_openapi_schema(client: TestClient):
    response = client.get("/openapi.json")

package cmd

import (
	"context"
	"fmt"
	"io"
)

// Writes to multiple writers
type multiWriter struct {
	writers     []io.Writer
	writeQuorum int
	errs        []error
}

// Write writes data to writers.
func (p *multiWriter) Write(ctx context.Context, blocks [][]byte) error {
	for i := range p.writers {
		if p.errs[i] != nil {
			continue
		}
		if p.writers[i] == nil {
			p.errs[i] = errDiskNotFound

def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo", "password": "secret"}


def test_post_body_form_no_password(client: TestClient):
    response = client.post("/login/", data={"username": "Foo"})
    assert response.status_code == 422
    assert response.json() == IsDict(

    return client


def test_post_body_form(client: TestClient):
    response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo"}


def test_post_body_form_no_password(client: TestClient):
    response = client.post("/login/", data={"username": "Foo"})
    assert response.status_code == 422
    assert response.json() == IsDict(