C++ library providing safe numeric types that throw exceptions on arithmetic errors like overflow and underflow.
safe_numerics is a C++ library that provides safe replacements for standard integer types like int and unsigned int. It solves the problem of undefined arithmetic behavior in C++ by throwing exceptions when operations would result in overflow, underflow, or other errors that normally go undetected.
C++ developers working on safety-critical applications, financial systems, embedded software, or any code where numeric correctness is essential and silent arithmetic errors could cause serious issues.
Developers choose safe_numerics because it provides a straightforward way to catch dangerous numeric operations without changing their code's structure, offering runtime safety while maintaining the performance characteristics of standard C++ types.
Replacements to standard numeric types which throw exceptions on errors
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Automatically throws exceptions on overflow, underflow, and division by zero, catching dangerous operations that standard types ignore, as emphasized in the README for preventing undefined behavior.
Acts as a drop-in replacement for standard integer types with minimal code changes, preserving the interface and hardware mapping, making adoption straightforward in existing projects.
Includes real-world case studies, video presentations, and detailed HTML documentation, providing practical examples and thorough guidance, as highlighted in the README links.
Maintains the close hardware mapping of standard types to minimize performance degradation from safety checks, aligning with the library's philosophy of preserving C++ characteristics.
Introduces checks for every arithmetic operation, which can impact performance in latency-sensitive applications, a trade-off inherent to its exception-based safety model.
Relies on throwing exceptions for error handling, making it unsuitable for systems where exceptions are disabled or discouraged, such as certain embedded or real-time environments.
Primarily focuses on integer safety; floating-point or other numeric types might not be covered, leaving gaps in comprehensive numeric error prevention for mixed operations.
Requires developers to implement robust exception handling strategies, adding complexity to codebases that previously assumed silent arithmetic behavior.