datapilot-cli/node_modules/hyparquet/types/assemble.d.ts

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

/**
 * Reconstructs a complex nested structure from flat arrays of values and
 * definition and repetition levels, according to Dremel encoding.
 *
 * @param {any[]} output
 * @param {number[] | undefined} definitionLevels
 * @param {number[]} repetitionLevels
 * @param {DecodedArray} values
 * @param {SchemaTree[]} schemaPath
 * @returns {DecodedArray}
 */
export function assembleLists(output: any[], definitionLevels: number[] | undefined, repetitionLevels: number[], values: DecodedArray, schemaPath: SchemaTree[]): DecodedArray;
/**
 * Assemble a nested structure from subcolumn data.
 * https://github.com/apache/parquet-format/blob/apache-parquet-format-2.10.0/LogicalTypes.md#nested-types
 *
 * @param {Map<string, DecodedArray>} subcolumnData
 * @param {SchemaTree} schema top-level schema element
 * @param {number} [depth] depth of nested structure
 */
export function assembleNested(subcolumnData: Map<string, DecodedArray>, schema: SchemaTree, depth?: number): void;
import type { DecodedArray } from '../src/types.d.ts';
import type { SchemaTree } from '../src/types.d.ts';
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