}
		_ = stmt.Schema.ParseIndexes()
		field := stmt.Schema.LookUpField(fieldName)
		if field == nil {
			t.Fatalf("%v: failed to find column %q", utils.FileWithLineNum(), fieldName)
		}
		if field.Unique != unique {
			t.Fatalf("%v: %q column %q unique should be %v but got %v", utils.FileWithLineNum(), stmt.Schema.Table, fieldName, unique, field.Unique)
		}
		if field.UniqueIndex != uniqueIndex {

    # fields but it's the same one, so count them by name
    body_param_names_set = {field.name for field in fields}
    # A top level field has to be a single field, not multiple
    if len(body_param_names_set) > 1:
        return True
    first_field = fields[0]
    # If it explicitly specifies it is embedded, it has to be embedded

and <code>T</code> itself may not be
a pointer type. The unqualified type name acts as the field name.
</p>

<pre>
// A struct with four embedded fields of types T1, *T2, P.T3 and *P.T4
struct {
	T1        // field name is T1
	*T2       // field name is T2
	P.T3      // field name is T3
	*P.T4     // field name is T4
	x, y int  // field names are x and y
}
</pre>

<p>

                if (q instanceof BooleanQuery) {
                    queryList.addAll(getTermQueryList(q, fields));
                } else if (q instanceof final TermQuery termQuery) {
                    for (final String field : fields) {
                        if (field.equals(termQuery.getTerm().field())) {
                            queryList.add(termQuery);
                        }
                    }

// GetIdentityFieldValuesMapFromValues get identity map from fields
func GetIdentityFieldValuesMapFromValues(ctx context.Context, values []interface{}, fields []*Field) (map[string][]reflect.Value, [][]interface{}) {
	resultsMap := map[string][]reflect.Value{}
	results := [][]interface{}{}

	for _, v := range values {
		rm, rs := GetIdentityFieldValuesMap(ctx, reflect.Indirect(reflect.ValueOf(v)), fields)
		for k, v := range rm {

      <description>Dependency collection or resolution injection.</description>
      <fields>
        <field>
          <name>field</name>
          <required>false</required>
          <version>2.0.0+</version>
          <type>String</type>
          <description>the name of the field to be injected</description>
        </field>
        <field>
          <name>pathScope</name>
          <required>false</required>

a pointer type or type parameter. The unqualified type name acts as the field name.
</p>

<pre>
// A struct with four embedded fields of types T1, *T2, P.T3 and *P.T4
struct {
	T1        // field name is T1
	*T2       // field name is T2
	P.T3      // field name is T3
	*P.T4     // field name is T4
	x, y int  // field names are x and y
}
</pre>

<p>

    public void addField(final String key, final Object value) {
        fields.put(key, value);
    }

    public String getLogMessage() {
        return getUrl();
    }

    @Override
    public Map<String, Object> toSource() {
        final Map<String, Object> sourceMap = super.toSource();
        if (fields != null) {
            sourceMap.putAll(fields);
        }
        return sourceMap;
    }

    @Override

        if (value instanceof final LocalDateTime ldt) {
            final ZonedDateTime zdt = ZonedDateTime.of(ldt, ZoneId.systemDefault());
            super.addFieldToSource(sourceMap, field, DateTimeFormatter.ISO_INSTANT.format(zdt));
        } else {
            super.addFieldToSource(sourceMap, field, value);
        }
    }

    @Override

/// note

This is supported since FastAPI version `0.114.0`. 🤓

///

You can use Pydantic's model configuration to `forbid` any `extra` fields:

//// tab | Python 3.9+

```Python hl_lines="12"
{!> ../../docs_src/request_form_models/tutorial002_an_py39.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="11"