return
			}
			tests.AssertObjEqual(t, ai, ei, "Name", "Class", "Type", "Where", "Comment", "Option")
			if len(ei.Fields) != len(ai.Fields) {
				t.Errorf("expected index %q field length is %d but actual %d", k, len(ei.Fields), len(ai.Fields))
				return
			}
			for i, ef := range ei.Fields {
				af := ai.Fields[i]
				tests.AssertObjEqual(t, af, ef, "Name", "Unique", "UniqueIndex", "Expression", "Sort", "Collate", "Length")
			}

        MoreObjects.toStringHelper(new TestClass()).add("field1", Integer.valueOf(42)).toString();
    assertEquals("TestClass{field1=42}", toTest);
  }

  @GwtIncompatible // Class names are obfuscated in GWT
  public void testToString_nullInteger() {
    String toTest =
        MoreObjects.toStringHelper(new TestClass()).add("field1", (Integer) null).toString();
    assertEquals("TestClass{field1=null}", toTest);
  }

# Body - Fields

The same way you can declare additional validation and metadata in *path operation function* parameters with `Query`, `Path` and `Body`, you can declare validation and metadata inside of Pydantic models using Pydantic's `Field`.

## Import `Field`

First, you have to import it:

{* ../../docs_src/body_fields/tutorial001_an_py310.py hl[4] *}


/// warning

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        String[] fields = (String[]) propMap.get(LOGGING_SEARCH_DOCS_FIELDS);
        if (fields == null) {
            fields = split(getLoggingSearchDocsFields(), ",").get(stream -> stream.map(String::trim).toArray(n -> new String[n]));
            propMap.put(LOGGING_SEARCH_DOCS_FIELDS, fields);
        }
        return fields;
    }

    String getSchedulerTargetName();

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Sebastián Ramírez <******@****.***> 1728247014 +0200

Sebastián Ramírez <******@****.***> 1728247014 +0200

Sebastián Ramírez <******@****.***> 1728247014 +0200

Sebastián Ramírez <******@****.***> 1728247014 +0200