The wildcard pattern, represented by an underscore (Documentation Index
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_), is an irrefutable pattern in Python’s structural pattern matching (introduced in Python 3.10 via PEP 634). It successfully matches any subject value but explicitly drops the value without binding it to a variable name in the local scope.
Syntax and Mechanics
The wildcard pattern can be utilized as a standalone catch-all clause or nested within more complex structural patterns (such as sequences, mappings, or class patterns) to ignore specific elements.Technical Characteristics
1. Irrefutability and Ordering Because the wildcard pattern is irrefutable (it never fails to match), a standalonecase _: must be the final case block in a match statement if multiple cases are defined. The Python parser enforces this strictly; placing any case block after a top-level wildcard pattern raises a SyntaxError: wildcard makes remaining patterns unreachable.
2. Non-Binding Nature
Unlike a capture pattern (e.g., case x:), the wildcard pattern does not assign the matched subject to the identifier _. If you attempt to reference _ within the execution block of the case, it will not contain the matched value. Instead, it will resolve to whatever _ evaluates to in the enclosing scope (which may result in a NameError if unbound).
3. Multiplicity in Structural Patterns
Python’s pattern matching rules dictate that a variable name cannot be bound more than once in a single pattern (e.g., case [x, x]: raises a SyntaxError). However, because the wildcard pattern does not bind values, it is exempt from this restriction. It can be repeated infinitely within a single structural pattern.
_ acts as a wildcard pattern only within the context of a match/case block. Outside of structural pattern matching, _ remains a standard, valid identifier in Python, commonly used by convention to denote unused variables in assignments or loops.
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