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Implementing Dart Patterns
Contents
Pattern Selection Strategy
Switch Statements vs. Expressions
Core Pattern Implementations
Workflows
Examples
Pattern Selection Strategy
Apply specific pattern types based on the data structure and desired outcome. Follow these conditional guidelines:
If validating and extracting from deserialized data (e.g., JSON):
Use Map and List patterns to simultaneously check structure and destructure key-value pairs.
If handling multiple return values:
Use Record patterns to destructure fields directly into local variables.
If executing type-specific behavior (Algebraic Data Types):
Use Object patterns combined with
sealed
classes to ensure exhaustiveness.
If matching numeric ranges or conditions:
Use Relational (
= , <= ) and Logical-and ( && ) patterns. If multiple cases share logic: Use Logical-or ( || ) patterns to share a single case body or guard clause. If ignoring specific values: Use the Wildcard pattern ( _ ) or a non-matching Rest element ( ... ) in collections. Switch Statements vs. Expressions Select the appropriate switch construct based on the execution context: If producing a value: Use a switch expression . Syntax: switch (value) { pattern => expression, } Rule: Each case must be a single expression. No implicit fallthrough. Must be exhaustive. If executing statements or side effects: Use a switch statement . Syntax: switch (value) { case pattern: statements; } Rule: Empty cases fall through to the next case. Non-empty cases implicitly break (no break keyword required). Core Pattern Implementations Implement patterns using the following syntax and rules: Logical-or ( || ): pattern1 || pattern2 . Both branches must define the exact same set of variables. Logical-and ( && ): pattern1 && pattern2 . Branches must not define overlapping variables. Relational: == , != , < ,
, <= , = followed by a constant expression. Cast ( as ): pattern as Type . Throws if the value does not match the type. Use to forcibly assert types during destructuring. Null-check ( ? ): pattern? . Fails the match if the value is null. Binds the variable to the non-nullable base type. Null-assert ( ! ): pattern! . Throws if the value is null. Variable: var name or Type name . Binds the matched value to a new local variable. Wildcard ( _ ): Matches any value and discards it. List: [pattern1, pattern2] . Matches lists of exact length unless a Rest element ( ... or ...var rest ) is used. Map: {"key": pattern} . Matches maps containing the specified keys. Ignores unmatched keys. Record: (pattern1, named: pattern2) . Matches records of the exact shape. Use :var name to infer the getter name. Object: ClassName(field: pattern) . Matches instances of ClassName . Use :var field to infer the getter name. Workflows Task Progress: Implementing Pattern Matching Copy this checklist to track progress when implementing complex pattern matching logic: Identify the data structure being evaluated (JSON, Record, Class, Enum). Select the appropriate switch construct (Expression for values, Statement for side-effects). Define the required patterns (Object, Map, List, Record). Extract required data using Variable patterns ( var x , :var y ). Apply Guard clauses ( when condition ) for logic that cannot be expressed via patterns. Handle unmatched cases using a Wildcard ( _ ) or default clause (if not using a sealed class). Run exhaustiveness validator. Feedback Loop: Exhaustiveness Checking When switching over sealed classes or enums, you must ensure all subtypes are handled. Run validator: Execute dart analyze . Review errors: Look for "The type 'X' is not exhaustively matched by the switch cases" errors. Fix: Add the missing Object patterns for the unhandled subtypes, or add a Wildcard ( _ ) case if a default fallback is acceptable. Examples JSON Validation and Destructuring Use Map and List patterns to validate structure and extract data in a single step. Input: var data = { 'user' : [ 'Lily' , 13 ] , } ; Implementation: if ( data case { 'user' : [ String name , int age ] } ) { print ( 'User $ name is $ age years old.' ) ; } else { print ( 'Invalid JSON structure.' ) ; } Algebraic Data Types (Sealed Classes) Use Object patterns with switch expressions to handle family types exhaustively. Implementation: sealed class Shape { } class Square implements Shape { final double length ; Square ( this . length ) ; } class Circle implements Shape { final double radius ; Circle ( this . radius ) ; } // Switch expression guarantees exhaustiveness due to
sealedmodifier. double calculateArea ( Shape shape ) =switch ( shape ) { Square ( length : var l ) =
l * l , Circle ( : var radius ) =
math . pi * radius * radius , } ; Variable Swapping and Destructuring Use variable assignment patterns to swap values or extract record fields without temporary variables. Implementation: var ( a , b ) = ( 'left' , 'right' ) ; ( b , a ) = ( a , b ) ; // Swap values // Destructuring a function return var ( name , age ) = getUserInfo ( ) ; Guard Clauses and Logical-or Use when to evaluate arbitrary conditions after a pattern matches. Implementation: switch ( shape ) { case Square ( size : var s ) || Circle ( size : var s ) when s
0 : print ( 'Valid symmetric shape with size $ s ' ) ; case Square ( ) || Circle ( ) : print ( 'Invalid or empty shape' ) ; default : print ( 'Unknown shape' ) ; }