@effect-ts/system/Experimental/Stream/_internal/api/groupByKey.js

Effect-TS is a zero dependency set of libraries to write highly productive, purely functional TypeScript at scale.

"use strict";

Object.defineProperty(exports, "__esModule", {
  value: true
});
exports.groupByKey = groupByKey;
exports.groupByKey_ = groupByKey_;

var Tp = /*#__PURE__*/_interopRequireWildcard( /*#__PURE__*/require("../../../../Collections/Immutable/Tuple/index.js"));

var T = /*#__PURE__*/_interopRequireWildcard( /*#__PURE__*/require("../../../../Effect/index.js"));

var GroupBy = /*#__PURE__*/_interopRequireWildcard( /*#__PURE__*/require("./groupBy.js"));

function _getRequireWildcardCache(nodeInterop) { if (typeof WeakMap !== "function") return null; var cacheBabelInterop = new WeakMap(); var cacheNodeInterop = new WeakMap(); return (_getRequireWildcardCache = function (nodeInterop) { return nodeInterop ? cacheNodeInterop : cacheBabelInterop; })(nodeInterop); }

function _interopRequireWildcard(obj, nodeInterop) { if (!nodeInterop && obj && obj.__esModule) { return obj; } if (obj === null || typeof obj !== "object" && typeof obj !== "function") { return { default: obj }; } var cache = _getRequireWildcardCache(nodeInterop); if (cache && cache.has(obj)) { return cache.get(obj); } var newObj = {}; var hasPropertyDescriptor = Object.defineProperty && Object.getOwnPropertyDescriptor; for (var key in obj) { if (key !== "default" && Object.prototype.hasOwnProperty.call(obj, key)) { var desc = hasPropertyDescriptor ? Object.getOwnPropertyDescriptor(obj, key) : null; if (desc && (desc.get || desc.set)) { Object.defineProperty(newObj, key, desc); } else { newObj[key] = obj[key]; } } } newObj.default = obj; if (cache) { cache.set(obj, newObj); } return newObj; }

// ets_tracing: off

/**
 * Partition a stream using a function and process each stream individually.
 * This returns a data structure that can be used
 * to further filter down which groups shall be processed.
 *
 * After calling apply on the GroupBy object, the remaining groups will be processed
 * in parallel and the resulting streams merged in a nondeterministic fashion.
 *
 * Up to `buffer` elements may be buffered in any group stream before the producer
 * is backpressured. Take care to consume from all streams in order
 * to prevent deadlocks.

 */
function groupByKey_(self, f, buffer = 16) {
  return GroupBy.groupBy_(self, a => T.succeed(Tp.tuple(f(a), a)), buffer);
}
/**
 * Partition a stream using a function and process each stream individually.
 * This returns a data structure that can be used
 * to further filter down which groups shall be processed.
 *
 * After calling apply on the GroupBy object, the remaining groups will be processed
 * in parallel and the resulting streams merged in a nondeterministic fashion.
 *
 * Up to `buffer` elements may be buffered in any group stream before the producer
 * is backpressured. Take care to consume from all streams in order
 * to prevent deadlocks.
 *
 * @ets_data_first groupByKey_
 */


function groupByKey(f, buffer = 16) {
  return self => groupByKey_(self, f, buffer);
}
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