Balkrishna Rawool
Algebraic Data Types + Pattern Matching = Elegant and readable Java code
#1about 2 minutes
Introducing the 'SEND + MORE = MONEY' puzzle
A cryptarithmetic puzzle is presented where letters represent unique digits in a mathematical equation that must be solved.
#2about 3 minutes
Designing a solver and defining an expression grammar
A high-level solution is designed with a generator and evaluator, based on a grammar that defines expressions as constants, variables, additions, or multiplications.
#3about 4 minutes
Understanding algebraic data types and pattern matching in Java
Product types are implemented with records and sum types with sealed interfaces, which can then be deconstructed using pattern matching for `instanceof` and `switch`.
#4about 2 minutes
Modeling expressions as an algebraic data type
An expression is modeled as a sum type using a Java sealed interface with record implementations for constant, variable, addition, and multiplication.
#5about 3 minutes
Implementing an evaluation function with pattern matching
A static `evaluate` function uses a pattern matching switch expression to recursively calculate the value of an expression tree, ensuring compile-time safety.
#6about 8 minutes
Building the puzzle solver and constraints
The main puzzle solver logic is built by creating a sealed interface for constraints and using a generator to check all combinations against them.
#7about 4 minutes
Assembling and running the puzzle solution test
A unit test is created to assemble the puzzle's variables, expressions, and constraints, which is then run to find and verify the final solution.
#8about 1 minute
The pattern of data-oriented programming in Java
The combination of algebraic data types for data modeling and pattern matching for behavior is defined as data-oriented programming, a powerful pattern for writing readable code.
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