xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.example.group</groupId>
  <artifactId>testinvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <build>
    <pluginManagement>
      <plugins>
        <plugin>

  xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance"
  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.example.group</groupId>
  <artifactId>testinvalidpom</artifactId>
  <version>0.0.1-SNAPSHOT</version>

  <build>
    <pluginManagement>
      <plugins>
        <plugin>
          <groupId></groupId>

  xsi:schemaLocation="http://maven.apache.org/POM/4.0.0 https://maven.apache.org/xsd/maven-4.0.0.xsd">
  <modelVersion>4.0.0</modelVersion>
  <groupId>com.example.group</groupId>
  <artifactId>valid-version-changelist</artifactId>
  <version>${changelist}</version>

  <description>
    This will test if the validation for the ci friendly versions
    is working correct.

    assert response.status_code == 200, response.text
    assert response.json() == {
        "username": "testtokenfakedecoded",
        "email": "john@example.com",
        "full_name": "John Doe",
        "disabled": None,
    }


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

Activar un entorno virtual también cambia un par de otras cosas, pero esta es una de las cosas más importantes que hace.

## Verificando un Entorno Virtual { #checking-a-virtual-environment }

Cuando revisas si un entorno virtual está activo, por ejemplo con:

//// tab | Linux, macOS, Windows Bash

<div class="termy">

 * that should be treated as equivalent during crawling. This helps avoid indexing
 * duplicate content from the same logical site that may be accessible via different
 * hostnames (e.g., www.example.com and example.com).</p>
 */
public class DuplicateHostService extends FessAppService {

    /**
     * DBFlute behavior for duplicate host operations.
     * Provides database access methods for DuplicateHost entities.

policy grants access to buckets with name starting with example. ## In addition, grants objects read permissions on buckets starting with example. # - name: readonlyexamplepolic # statements: # - resources: # - 'arn:aws:s3:::example*/*' # actions: # - "s3:GetObject" # - resources: # - 'arn:aws:s3:::example*' # actions: # - "s3:GetBucketLocation" # - "s3:ListBucket" # - "s3:ListBucketMultipartU" ## conditionsexample policy creates all access to example bucket with aws:username="johndoe" and source ip range...

     * <p>
     * Of the resources under the root directory, only those with paths starting with the base directory are traversed. The handler receives the relative path from the root directory. For example, if the root directory is <code>/aaa/bbb</code> and the base directory is <code>ccc/ddd</code>, and the resource <code>/aaa/bbb/ccc/ddd/eee.txt</code> exists, the handler receives the path <code>ccc/ddd/eee.txt</code>.
     * </p>
     *

Wenn wir also ein Pydantic-Objekt `user_in` erstellen, etwa so:

```Python
user_in = UserIn(username="john", password="secret", email="john.doe@example.com")
```

und dann aufrufen:

```Python
user_dict = user_in.model_dump()
```

haben wir jetzt ein `dict` mit den Daten in der Variablen `user_dict` (es ist ein `dict` statt eines Pydantic-Modellobjekts).

Поэтому, если мы создадим Pydantic-объект `user_in` таким способом:

```Python
user_in = UserIn(username="john", password="secret", email="john.doe@example.com")
```

и затем вызовем:

```Python
user_dict = user_in.dict()
```

то теперь у нас есть `dict` с данными модели в переменной `user_dict` (это `dict` вместо объекта Pydantic-модели).