assertTrue(permissionDenied.getMessage().contains("Permission denied"));

        // Scenario 4: Exit code error
        CommandExecutionException exitCodeError = new CommandExecutionException("Command exited with non-zero code: 127");
        assertTrue(exitCodeError.getMessage().contains("non-zero code"));
    }

<img src="/img/tutorial/body-nested-models/image01.png">

Sie würden diese Editor-Unterstützung nicht erhalten, wenn Sie direkt mit `dict`, statt mit Pydantic-Modellen arbeiten würden.

Aber Sie müssen sich auch nicht weiter um die Modelle kümmern, hereinkommende Dicts werden automatisch in sie konvertiert. Und was Sie zurückgeben, wird automatisch nach JSON konvertiert.

## Bodys mit beliebigen `dict`s { #bodies-of-arbitrary-dicts }

import java.io.OutputStream;
import java.io.PrintStream;
import java.io.PrintWriter;
import java.io.Reader;
import java.io.Serializable;
import java.io.StringReader;
import java.io.StringWriter;
import java.io.Writer;
import java.lang.reflect.AnnotatedElement;
import java.lang.reflect.Array;
import java.lang.reflect.Constructor;
import java.lang.reflect.Field;
import java.lang.reflect.GenericDeclaration;

import java.io.InputStream;
import java.io.OutputStream;
import java.io.PrintStream;
import java.io.PrintWriter;
import java.io.Reader;
import java.io.StringReader;
import java.io.StringWriter;
import java.io.Writer;
import java.lang.reflect.AnnotatedElement;
import java.lang.reflect.GenericDeclaration;
import java.lang.reflect.Type;
import java.math.BigDecimal;
import java.math.BigInteger;
import java.nio.Buffer;

import java.io.ByteArrayOutputStream;
import java.io.File;
import java.io.InputStream;
import java.io.OutputStream;
import java.io.Reader;
import java.io.StringReader;
import java.io.StringWriter;
import java.io.Writer;
import java.lang.reflect.Method;
import java.lang.reflect.Type;
import java.math.BigDecimal;
import java.math.BigInteger;
import java.nio.Buffer;
import java.nio.ByteBuffer;
import java.nio.CharBuffer;

	}
	if abs < 0 {
		return 0, errors.New("bytes.Reader.Seek: negative position")
	}
	r.i = abs
	return abs, nil
}

// WriteTo implements the [io.WriterTo] interface.
func (r *Reader) WriteTo(w io.Writer) (n int64, err error) {
	r.prevRune = -1
	if r.i >= int64(len(r.s)) {
		return 0, nil
	}
	b := r.s[r.i:]
	m, err := w.Write(b)
	if m > len(b) {
		panic("bytes.Reader.WriteTo: invalid Write count")
	}

		(*z)[zb0001], err = dc.ReadString()
		if err != nil {
			err = msgp.WrapError(err, zb0001)
			return
		}
	}
	return
}

// EncodeMsg implements msgp.Encodable
func (z BatchJobPrefix) EncodeMsg(en *msgp.Writer) (err error) {
	err = en.WriteArrayHeader(uint32(len(z)))
	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	for zb0003 := range z {
		err = en.WriteString(z[zb0003])
		if err != nil {

  auto iter = builder->attr_names.insert(attr_name).first;
  builder->Set(*iter, static_cast<tensorflow::DataType>(value));
}

void TF_AttrBuilderSetTypeList(TF_AttrBuilder* builder, const char* attr_name,
                               const TF_DataType* values, int num_values) {
  auto iter = builder->attr_names.insert(attr_name).first;

		},
	}

	// Iterating over the cases, fetching the object validating the response.
	for i, testCase := range testCases {
		// initialize HTTP NewRecorder, this records any mutations to response writer inside the handler.
		rec := httptest.NewRecorder()
		// construct HTTP request for Get Object end point.
		req, err := newTestSignedRequestV4(http.MethodHead, getHeadObjectURL("", testCase.bucketName, testCase.objectName),

	// the connection will be closed and readers/writers will unblock.
	go c.monitorState(conn, cancel)

	c.handleMsgWg.Add(2)
	c.reconnectMu.Unlock()

	// Start reader and writer
	go c.readStream(ctx, conn, cancel)
	c.writeStream(ctx, conn, cancel)
}

// readStream handles the read side of the connection.
// It will read messages and send them to c.handleMsg.