.addEqualityGroup(wrapperFunction.apply(instance), wrapperFunction.apply(instance))
        .addEqualityGroup(wrapperFunction.apply(generator.newFreshProxy(interfaceType)))
        // TODO: add an overload to EqualsTester to print custom error message?
        .testEquals();
  }

  private static <T> void testToString(
      Class<T> interfaceType, Function<? super T, ? extends T> wrapperFunction) {

            // Test PRINT share type
            setPrivateField(response, "shareType", Smb2TreeConnectResponse.SMB2_SHARE_TYPE_PRINT);
            assertEquals(Smb2TreeConnectResponse.SMB2_SHARE_TYPE_PRINT, response.getShareType(), "Should handle PRINT share type");
        }

        @Test
        @DisplayName("Should handle share flags")

    }

    @DisplayName("Should parse different share types correctly")
    @ParameterizedTest
    @CsvSource({ "1, 1", // DISK
            "2, 2", // PIPE
            "3, 3", // PRINT
            "0, 0", // Unknown
            "255, -1" // Byte overflow to signed
    })
    void testDifferentShareTypes(int shareTypeValue, int expectedValue) throws SMBProtocolDecodingException {
        // Given

![editor support](https://fastapi.tiangolo.com/img/pycharm-completion.png)

Vous aurez des propositions de complétion que vous n'auriez jamais imaginées. Par exemple la clé `prix` dans le corps d'un document JSON (qui est peut-être imbriqué) venant d'une requête.

GOLANGCI_DIR = .bin/golangci/$(GOLANGCI_VERSION)
GOLANGCI = $(GOLANGCI_DIR)/golangci-lint

all: build

checks: ## check dependencies
	@echo "Checking dependencies"
	@(env bash $(PWD)/buildscripts/checkdeps.sh)

help: ## print this help
	@grep -E '^[a-zA-Z_-]+:.*?## .*$$' Makefile | awk 'BEGIN {FS = ":.*?## "}; {printf "\033[36m%-40s\033[0m %s\n", $$1, $$2}'

getdeps: ## fetch necessary dependencies
	@mkdir -p ${GOPATH}/bin

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

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

And if we call:

```Python
print(user_dict)
```

we would get a Python `dict` with:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

import javax.net.ssl.X509TrustManager
import kotlin.test.assertFailsWith
import mockwebserver3.MockResponse
import mockwebserver3.MockWebServer
import mockwebserver3.junit5.StartStop
import okhttp3.CertificatePinner.Companion.pin
import okhttp3.testing.PlatformRule
import okhttp3.tls.HandshakeCertificates
import okhttp3.tls.HeldCertificate
import org.junit.jupiter.api.BeforeEach
import org.junit.jupiter.api.Tag
import org.junit.jupiter.api.Test

             * for whatever reason. I copy over the uid here so it appears correct
             * in logging output. Logging of andx segments of messages inadvertantly
             * print header information because of the way toString always makes a
             * super.toString() call(see toString() at the end of all smbs classes).
             */

            andx.uid = uid;

```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).

Und wenn wir aufrufen:

```Python
print(user_dict)
```

würden wir ein Python-`dict` erhalten mit:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

```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).

И если мы вызовем:

```Python
print(user_dict)
```

мы можем получить `dict` с такими данными:

```Python
{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```