How to resolve the algorithm Algebraic data types step by step in the jq programming language

Published on 12 May 2024 09:40 PM
#Jq

How to resolve the algorithm Algebraic data types step by step in the jq programming language

Table of Contents

Problem Statement

Some languages offer direct support for algebraic data types and pattern matching on them. While this of course can always be simulated with manual tagging and conditionals, it allows for terse code which is easy to read, and can represent the algorithm directly.

As an example, implement insertion in a red-black-tree. A red-black-tree is a binary tree where each internal node has a color attribute red or black. Moreover, no red node can have a red child, and every path from the root to an empty node must contain the same number of black nodes. As a consequence, the tree is balanced, and must be re-balanced after an insertion.

Red-Black Trees in a Functional Setting

Let's start with the solution:

Step by Step solution about How to resolve the algorithm Algebraic data types step by step in the jq programming language

Source code in the jq programming language

# bindings($x) attempts to match . and $x structurally on the
# assumption that . is free of JSON objects, and that any objects in
# $x will have distinct, singleton keys that are to be interpreted as
# variables.  These variables will match the corresponding entities in
# . if . and $x can be structurally matched.
#
# If . and $x cannot be matched, then null is returned;
# otherwise, if $x contains no objects, {} is returned;
# finally, if . and $x can be structurally matched, a composite object containing the bindings
# will be returned.
# Output: null (failure to match) or a single JSON object giving the bindings if any.
def bindings($x):
   if $x == . then {}  # by assumption, no bindings are necessary
   elif ($x|type) == "object"
   then ($x|keys) as $keys
   | if ($keys|length) == 1 then {($keys[0]): .} else "objects should be singletons"|error end
   elif type != ($x|type) then null
   elif type == "array"
   then if length != ($x|length) then null
        else . as $in
        | reduce range(0;length) as $i ({};
            if . == null then null
            else ($in[$i] | bindings($x[$i]) ) as $m
            | if $m == null then null else . + $m end
            end)
	end
   else null
   end ;

include "bindings" {search: "."};

def E: [];  # the empty node
# Each nonempty node is an array: [Color, Left, Value, Right]
# where Left and Right are nodes.

def B: "⚫";
def R: "🔴";

def b(x): bindings({} | x) // empty;

# Input: [$color, $left, $value, $right]
def balance:
  def node: [R, [B, .a, .x, .b], .y, [B, .c, .z, .d]];

  (   b([B, [R, [R,  {a}, {x}, {x}], {y}, {c}],  {z}, {d}])
   // b([B, [R, {a}, {x}, [R,  {b},  {y}, {c}]], {z}, {d}])
   // b([B, {a},{x}, [R,  [R,  {b},  {y}, {c}],  {z}, {d}]])
   // b([B, {a},{x}, [R,  {b}, {y},  [R,  {c},   {z}, {d}]]])
   | node) // . ;

# Input: a node 
def ins($x):
  if . == E then [R, E, $x, E]
  else . as [$col, $left, $y, $right]
  | if   $x < $y then [ $col, ($left|ins($x)), $y, $right]            | balance
    elif $x > $y then [ $col, $left,           $y, ($right|ins($x)) ] | balance
    else $left
    end
  end;

# insert(Value) into .
def insert($x):
  ins($x) as [$col, $left, $y, $right]
  | [ B, $left, $y, $right] ;

def pp: walk( if type == "array" then map(select(length>0)) else . end);

def task($n):
  reduce range(0; $n) as $i (E; insert($i));

task(16) | pp

jq -n -f pattern-matching.jq | grep -v '[][]' | tr -d ',"'


  

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