source: node_modules/ramda/es/transduce.js

import _xReduce from "./internal/_xReduce.js";
import _xwrap from "./internal/_xwrap.js";
import curryN from "./curryN.js";
/**
 * Initializes a transducer using supplied iterator function. Returns a single
 * item by iterating through the list, successively calling the transformed
 * iterator function and passing it an accumulator value and the current value
 * from the array, and then passing the result to the next call.
 *
 * The iterator function receives two values: *(acc, value)*. It will be
 * wrapped as a transformer to initialize the transducer. A transformer can be
 * passed directly in place of an iterator function. In both cases, iteration
 * may be stopped early with the [`R.reduced`](#reduced) function.
 *
 * A transducer is a function that accepts a transformer and returns a
 * transformer and can be composed directly.
 *
 * A transformer is an object that provides a 2-arity reducing iterator
 * function, step, 0-arity initial value function, init, and 1-arity result
 * extraction function, result. The step function is used as the iterator
 * function in reduce. The result function is used to convert the final
 * accumulator into the return type and in most cases is
 * [`R.identity`](#identity). The init function can be used to provide an
 * initial accumulator, but is ignored by transduce.
 *
 * The iteration is performed with [`R.reduce`](#reduce) after initializing the transducer.
 *
 * @func
 * @memberOf R
 * @since v0.12.0
 * @category List
 * @sig (c -> c) -> ((a, b) -> a) -> a -> [b] -> a
 * @param {Function} xf The transducer function. Receives a transformer and returns a transformer.
 * @param {Function} fn The iterator function. Receives two values, the accumulator and the
 *        current element from the array. Wrapped as transformer, if necessary, and used to
 *        initialize the transducer
 * @param {*} acc The initial accumulator value.
 * @param {Array} list The list to iterate over.
 * @return {*} The final, accumulated value.
 * @see R.reduce, R.reduced, R.into
 * @example
 *
 *      const numbers = [1, 2, 3, 4];
 *      const transducer = R.compose(R.map(R.add(1)), R.take(2));
 *      R.transduce(transducer, R.flip(R.append), [], numbers); //=> [2, 3]
 *
 *      const isOdd = (x) => x % 2 !== 0;
 *      const firstOddTransducer = R.compose(R.filter(isOdd), R.take(1));
 *      R.transduce(firstOddTransducer, R.flip(R.append), [], R.range(0, 100)); //=> [1]
 */

var transduce =
/*#__PURE__*/
curryN(4, function transduce(xf, fn, acc, list) {
  return _xReduce(xf(typeof fn === 'function' ? _xwrap(fn) : fn), acc, list);
});
export default transduce;