}
		ret.QuoteEscape = []rune(args.QuoteEscapeCharacter)[0]
		ret.FieldsPerRecord = -1
		// If LazyQuotes is true, a quote may appear in an unquoted field and a
		// non-doubled quote may appear in a quoted field.
		ret.LazyQuotes = true
		// We do not trim leading space to keep consistent with s3.
		ret.TrimLeadingSpace = false
		ret.ReuseRecord = true
		return ret
	}

In the examples we use a `MSS` type, which is a `map[string]string` that is `msgp` serializable.

```go
    handler := func(request *grid.MSS) (*grid.MSS, *grid.RemoteErr) {
        fmt.Println("Got request with field", request["myfield"])
        // Do something with payload
        return NewMSSWith(map[string]string{"result": "ok"}), nil
    }
	
    // Create a typed handler.

find the definition of xxx.  If xxx is a type, cgo replaces C.xxx with
a Go translation.  C arithmetic types translate to precisely-sized Go
arithmetic types.  A C struct translates to a Go struct, field by
field; unrepresentable fields are replaced with opaque byte arrays.  A
C union translates into a struct containing the first union member and
perhaps additional padding.  C arrays become Go arrays.  C pointers

}

// MetricSpec specifies how to scale based on a single metric
// (only `type` and one other matching field should be set at once).
message MetricSpec {
  // type is the type of metric source.  It should be one of "ContainerResource", "External",
  // "Object", "Pods" or "Resource", each mapping to a matching field in the object.
  // Note: "ContainerResource" type is available on when the feature-gate
  // HPAContainerMetrics is enabled

                }
                break;
            case 4:
                // Let's ignore this for now
                break;
            default:
                throw new PACDecodingException("Invalid field in kerberos ticket");
            }
        }
    }


    public byte getApOptions () {
        return this.apOptions;
    }


    public KerberosTicket getTicket () {

        Collections.addAll(fieldList, item1.getFields());
        for (final String field : item2.getFields()) {
            if (!fieldList.contains(field)) {
                fieldList.add(field);
            }
        }
        mergedItem.fields = fieldList.toArray(new String[fieldList.size()]);

  optional k8s.io.apimachinery.pkg.apis.meta.v1.ObjectMeta metadata = 1;

  // Rules holds all the PolicyRules for this ClusterRole
  // +optional
  repeated PolicyRule rules = 2;

  // AggregationRule is an optional field that describes how to build the Rules for this ClusterRole.
  // If AggregationRule is set, then the Rules are controller managed and direct changes to Rules will be
  // stomped by the controller.
  // +optional

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1. Ainda importamos `field` das `dataclasses` padrão.

2. `pydantic.dataclasses` é um substituto direto para `dataclasses`.

3. A dataclass `Author` inclui uma lista de dataclasses `Item`.

    public interface ContentTransformer {
        /**
         * Interpolate the value read from the xpp3 document
         * @param source The source value
         * @param fieldName A description of the field being interpolated. The implementation may use this to
         *                           log stuff.
         * @return The interpolated value.
         */
        String transform(String source, String fieldName);

👈 💼, 👆 💪 🎯 💱 🐩 `dataclasses` ⏮️ `pydantic.dataclasses`, ❔ 💧-♻:

```{ .python .annotate hl_lines="1  5  8-11  14-17  23-25  28" }
{!../../docs_src/dataclasses/tutorial003.py!}
```

1️⃣. 👥 🗄 `field` ⚪️➡️ 🐩 `dataclasses`.

2️⃣. `pydantic.dataclasses` 💧-♻ `dataclasses`.

3️⃣. `Author` 🎻 🔌 📇 `Item` 🎻.

4️⃣. `Author` 🎻 ⚙️ `response_model` 🔢.

5️⃣. 👆 💪 ⚙️ 🎏 🐩 🆎 ✍ ⏮️ 🎻 📨 💪.