type Record struct {
	columnNames  []string
	csvRecord    []string
	nameIndexMap map[string]int64
}

// Get - gets the value for a column name. CSV fields do not have any
// defined type (other than the default string). So this function
// always returns fields using sql.FromBytes so that the type
// specified/implied by the query can be used, or can be automatically
// converted based on the query.

func (z *BaseOptions) DecodeMsg(dc *msgp.Reader) (err error) {
	var field []byte
	_ = field
	var zb0001 uint32
	zb0001, err = dc.ReadMapHeader()
	if err != nil {
		err = msgp.WrapError(err)
		return
	}
	for zb0001 > 0 {
		zb0001--
		field, err = dc.ReadMapKeyPtr()
		if err != nil {
			err = msgp.WrapError(err)
			return
		}
		switch msgp.UnsafeString(field) {
		default:
			err = dc.Skip()
			if err != nil {

//go:generate msgp -file $GOFILE

// BucketMetadata contains bucket metadata.
// When adding/removing fields, regenerate the marshal code using the go generate above.
// Only changing meaning of fields requires a version bump.
// bucketMetadataFormat refers to the format.
// bucketMetadataVersion can be used to track a rolling upgrade of a field.
type BucketMetadata struct {
	Name                        string
	Created                     time.Time

      - "https://server4-pool1:9000/mnt/disk{1...4}/"
    set-drive-count: 4 # Advanced option, must be used under guidance from MinIO team.
```

### Things to know

- Fields such as `version` and `pools` are mandatory, however all other fields are optional.
- Each pool expects a minimum of 2 nodes per pool, and unique non-repeating hosts for each argument.

}

// SetAccessKey sets access key as jwt subject and custom
// "accessKey" field.
func (c *StandardClaims) SetAccessKey(accessKey string) {
	c.Subject = accessKey
	c.AccessKey = accessKey
}

// Valid - implements https://godoc.org/github.com/golang-jwt/jwt#Claims compatible
// claims interface, additionally validates "accessKey" fields.
func (c *StandardClaims) Valid() error {

# Body - Nested Models

With **FastAPI**, you can define, validate, document, and use arbitrarily deeply nested models (thanks to Pydantic).

## List fields

You can define an attribute to be a subtype. For example, a Python `list`:

//// tab | Python 3.10+

```Python hl_lines="12"
{!> ../../docs_src/body_nested_models/tutorial001_py310.py!}
```

////

//// tab | Python 3.8+

```Python hl_lines="14"

             * necessarily populated with header data because they're not writing
             * the header, only their body. But for whatever reason one might wish
             * to populate fields if the writeXxx operation needs this header data
             * for whatever reason. I copy over the uid here so it appears correct
             * in logging output. Logging of andx segments of messages inadvertantly

	// in Using IAM.
	//
	// Arn is a required field
	Arn string

	// A unique identifier that contains the role ID and the role session name of
	// the role that is being assumed. The role ID is generated by AWS when the
	// role is created.
	//
	// AssumedRoleId is a required field
	AssumedRoleID string `xml:"AssumeRoleId"`
	// contains filtered or unexported fields
}

	default:
		panic("invalid format")
	}

	// Update checksum.
	// This field is special in that it is terminated by a NULL then space.
	var f formatter
	field := b.toV7().chksum()
	chksum, _ := b.computeChecksum() // Possible values are 256..128776
	f.formatOctal(field[:7], chksum) // Never fails since 128776 < 262143
	field[7] = ' '
}

// computeChecksum computes the checksum for the header block.

            exclusiveMaximum: false
            default: 20
            example: 20
        - name: sort
          in: query
          description: Sorted field name
          required: false
          schema:
            type: string
            example: score
        - name: fields.label
          in: query
          description: Filtered label name
          required: false
          style: form
          explode: true