import { MemoryResource } from '@rapidsai/rmm';
import { Series } from '../series';
import { Categorical, DataType, Int16, Int32, Int64, Int8, Integral, Uint16, Uint32, Uint64, Uint8, Utf8String } from '../types/dtypes';
/**
 * A Series of dictionary-encoded values in GPU memory.
 */
export declare class CategoricalSeries<T extends DataType> extends Series<Categorical<T>> {
    /**
     * @summary The Series of codes.
     */
    get codes(): import("./integral").Int32Series;
    /**
     * @summary The Series of categories.
     */
    get categories(): Series<T>;
    /**
     * @inheritdoc
     */
    encodeLabels<R extends Integral = Uint32>(_categories?: Series<Categorical<T>>, type?: R, _nullSentinel?: R['scalarType'], _memoryResource?: MemoryResource): Series<R>;
    /**
     * @summary Get a value at the specified index to host memory
     *
     * @param index the index in this Series to return a value for
     *
     * @example
     * ```typescript
     * import {Series} from "@rapidsai/cudf";
     *
     * // StringSeries
     * Series.new(["foo", "bar", "test"]).getValue(0) // "foo"
     * Series.new(["foo", "bar", "test"]).getValue(2) // "test"
     * Series.new(["foo", "bar", "test"]).getValue(3) // throws index out of bounds error
     * ```
     */
    getValue(index: number): T["scalarType"] | null;
    /**
     * @summary Set a value at the specified index.
     *
     * @param index the index in this Series to set a value for
     * @param value the value to set at `index`
     *
     * @example
     * ```typescript
     * import {Series} from "@rapidsai/cudf";
     *
     * // StringSeries
     * const a = Series.new(["foo", "bar", "test"])
     * a.setValue(2, "test1") // inplace update -> Series(["foo", "bar", "test1"])
     * ```
     */
    setValue(index: number, value: T['scalarType']): void;
    _castAsInt8(memoryResource?: MemoryResource): Series<Int8>;
    _castAsInt16(memoryResource?: MemoryResource): Series<Int16>;
    _castAsInt32(memoryResource?: MemoryResource): Series<Int32>;
    _castAsInt64(memoryResource?: MemoryResource): Series<Int64>;
    _castAsUint8(memoryResource?: MemoryResource): Series<Uint8>;
    _castAsUint16(memoryResource?: MemoryResource): Series<Uint16>;
    _castAsUint32(memoryResource?: MemoryResource): Series<Uint32>;
    _castAsUint64(memoryResource?: MemoryResource): Series<Uint64>;
    _castAsString(memoryResource?: MemoryResource): Series<Utf8String>;
    _castAsCategorical<R extends Categorical>(type: R, memoryResource?: MemoryResource): Series<R>;
    protected _castCategories<R extends DataType>(type: R, memoryResource?: MemoryResource): Series<R>;
    /**
     * @summary Create a new CategoricalColumn with the categories set to the specified `categories`.
     *
     * @param categories The new categories
     * @param memoryResource The optional MemoryResource used to allocate the result Series's device
     *   memory.
     * @returns CategoricalSeries of same size as the current Series with the new categories.
     */
    setCategories(categories: Series<T> | (T['scalarType'][]), memoryResource?: MemoryResource): Series<Categorical<T>>;
}
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