mapValue[column] = nil
		}
	}
}

func (db *DB) scanIntoStruct(rows Rows, reflectValue reflect.Value, values []interface{}, fields []*schema.Field, joinFields [][]*schema.Field) {
	for idx, field := range fields {
		if field != nil {
			values[idx] = field.NewValuePool.Get()
		} else if len(fields) == 1 {
			if reflectValue.CanAddr() {
				values[idx] = reflectValue.Addr().Interface()
			} else {

            field.field_info.annotation
        ) and not isinstance(field.field_info, params.Body)

    def is_sequence_field(field: ModelField) -> bool:
        return field_annotation_is_sequence(field.field_info.annotation)

    def is_scalar_sequence_field(field: ModelField) -> bool:
        return field_annotation_is_scalar_sequence(field.field_info.annotation)

    body_schema = get_schema_from_model_field(
        field=body_field,
        schema_generator=schema_generator,
        model_name_map=model_name_map,
        field_mapping=field_mapping,
        separate_input_output_schemas=separate_input_output_schemas,
    )
    field_info = cast(Body, body_field.field_info)
    request_media_type = field_info.media_type
    required = body_field.required

	fields := strings.Split(releaseTag, ".")
	if len(fields) < 2 || len(fields) > 4 {
		return releaseTime, fmt.Errorf("%s is not a valid release tag", releaseTag)
	}
	if fields[0] != "RELEASE" {
		return releaseTime, fmt.Errorf("%s is not a valid release tag", releaseTag)
	}
	return time.Parse(MinioReleaseTagTimeLayout, fields[1])
}

            Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[
        Optional[IncEx],
        Doc(
            """
            Pydantic's `exclude` parameter, passed to Pydantic models to set the
            fields to exclude.
            """
        ),
    ] = None,
    by_alias: Annotated[

	tx.Statement.Distinct = true
	if len(args) > 0 {
		tx = tx.Select(args[0], args[1:]...)
	}
	return
}

// Select specify fields that you want when querying, creating, updating
//
// Use Select when you only want a subset of the fields. By default, GORM will select all fields.
// Select accepts both string arguments and arrays.
//
//	// Select name and age of user using multiple arguments

	Metrics bool   `msg:"m"`
	NoOp    bool   `msg:"np"`
}

// DiskInfo is an extended type which returns current
// disk usage per path.
// The above means that any added/deleted fields are incompatible.
//
// The above means that any added/deleted fields are incompatible.
//
//msgp:tuple DiskInfo
type DiskInfo struct {
	Total      uint64
	Free       uint64
	Used       uint64
	UsedInodes uint64
	FreeInodes uint64

                    "msg": "Field required",
                    "input": {"name": "Foo"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "price"],
                    "msg": "field required",
                    "type": "value_error.missing",

                    "msg": "Field required",
                    "input": {"name": "Foo"},
                }
            ]
        }
    ) | IsDict(
        # TODO: remove when deprecating Pydantic v1
        {
            "detail": [
                {
                    "loc": ["body", "price"],
                    "msg": "field required",
                    "type": "value_error.missing",

	// Iterate over policy conditions and check them against received form fields
	for _, policy := range postPolicyForm.Conditions.Policies {
		// Form fields names are in canonical format, convert conditions names
		// to canonical for simplification purpose, so `$key` will become `Key`
		formCanonicalName := http.CanonicalHeaderKey(strings.TrimPrefix(policy.Key, "$"))
		// Operator for the current policy condition
		op := policy.Operator