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datapilot-cli

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Enterprise-grade streaming multi-format data analysis with comprehensive statistical insights and intelligent relationship detection - supports CSV, JSON, Excel, TSV, Parquet - memory-efficient, cross-platform

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/** * Convert known types from primitive to rich, and dereference dictionary. * * @param {DecodedArray} data series of primitive types * @param {DecodedArray | undefined} dictionary * @param {Encoding} encoding * @param {ColumnDecoder} columnDecoder * @returns {DecodedArray} series of rich types */ export function convertWithDictionary(data: DecodedArray, dictionary: DecodedArray | undefined, encoding: Encoding, columnDecoder: ColumnDecoder): DecodedArray; /** * Convert known types from primitive to rich. * * @param {DecodedArray} data series of primitive types * @param {Pick<ColumnDecoder, "element" | "utf8" | "parsers">} columnDecoder * @returns {DecodedArray} series of rich types */ export function convert(data: DecodedArray, columnDecoder: Pick<ColumnDecoder, "element" | "utf8" | "parsers">): DecodedArray; /** * @param {Uint8Array} bytes * @returns {number} */ export function parseDecimal(bytes: Uint8Array): number; /** * @param {Uint8Array | undefined} bytes * @returns {number | undefined} */ export function parseFloat16(bytes: Uint8Array | undefined): number | undefined; /** * @import {ColumnDecoder, DecodedArray, Encoding, ParquetParsers, SchemaElement} from '../src/types.d.ts' */ /** * Default type parsers when no custom ones are given * @type ParquetParsers */ export const DEFAULT_PARSERS: ParquetParsers; import type { DecodedArray } from '../src/types.d.ts'; import type { Encoding } from '../src/types.d.ts'; import type { ColumnDecoder } from '../src/types.d.ts'; import type { ParquetParsers } from '../src/types.d.ts'; //# sourceMappingURL=convert.d.ts.map