5/28/2023 0 Comments Scala foldleftThats most certainly the motivation for focusing on reduceLeft on the second slide. That's most certainly the motivation for focusing on reduceLeft on the second slide. However: when both reduceLeft / reduceRight (or foldLeft / foldRight) are suitable for a solution, in scala one usually prefers the Left variant (especially when working with List s) because its implementation is slightly more efficient on List s. ![]() The use of mutables, recursion, For/While loops. However: when both reduceLeft / reduceRight (or foldLeft / foldRight) are suitable for a solution, in scala one usually prefers the Left variant (especially when working with List s) because its implementation is slightly more efficient on List s. foldLeft applies a two-parameter function op to an initial value z and all elements of this collection, going left to right. Scala (158) intermediate (63) beginner (39) matching (22) match (18) collections (14) daily-scala (13) implicit (12) scala-io (11) case-classes (10) Advanced (9) object (9) scala-io core (9) classes (8) assignment (7) control structure (7) extractor (7) import (7) tuple (7) 2.8 (6) covariance (6) for (6) for-comprehension (6) function (6) regex (6) regular expression (6) variance (6) Output (5) partial-function (5) traits (5) xml (5) MatchError (4) companion (4) contravariance (4) if (4) list (4) manifest (4) option (4) resource (4) structural types (4) traversable (4) Map (3) abstract type (3) case (3) factory-method (3) filter (3) fold (3) inheritance (3) input (3) invariance (3) raw strings (3) stream (3) test (3) with (3) Enumeration (2) JavaConverters (2) String (2) actor (2) break (2) case-object (2) catch (2) constructor (2) else (2) equals (2) generic (2) groupby (2) import alias (2) iterable (2) iterator (2) java (2) lazy-val (2) longtraversable (2) method (2) non-strict (2) null (2) operator (2) range (2) readchars (2) return (2) seekable (2) self-type (2) specs (2) symbol (2) syntactic sugar (2) transformation (2) try (2) type (2) type alias (2) unapply (2) unapplySeq (2) underscore (2) view (2) while (2) zip (2). In my last post I reviewed the implementation of scala.List’s foldLeft and foldRight methods. Solve the problems in Scala using a combination of map, filter and foldLeft/foldRight opertions over lists. That's most certainly the motivation for focusing on reduceLeft on the second slide. ![]()
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