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0001 ### `algorithms`: a Summary
0002
0003 This code defines a framework for creating and managing algorithms in a C++ application. Here's a breakdown of its key components:
0004
0005 **1. Input/Output Type Handling:**
0006
0007 * `Input<T...>` and `Output<T...>`: These template structs define how algorithm inputs and outputs are handled. They use `input_type_t` and `output_type_t` to map different types (`T`, `std::optional<T>`, `std::vector<T>`) to appropriate pointer types, ensuring non-null inputs and allowing for optional or vector-based arguments.
0008
0009 **2. Algorithm Base Classes:**
0010
0011 * `AlgorithmBase`: A base class for all algorithms, providing common features like properties, logging, and naming.
0012 * `Algorithm<InputType, OutputType>`: A template class defining the interface for concrete algorithms. It includes methods for initialization (`init`), processing (`process`), and accessing input/output names.
0013
0014 **3. Algorithm Service (<code>AlgorithmSvc</code>):**
0015
0016 * Stores factories for creating algorithm instances.
0017 * Allows adding new algorithm factories (`add`).
0018 * Provides methods for retrieving algorithm instances (`get`) and listing available algorithms (`ls`).
0019
0020 **4. Utility Classes and Traits:**
0021
0022 * `Error`: A base class for exceptions within the framework.
0023 * `GeoSvc`: A service for accessing geometry information (likely related to DD4hep).
0024 * `LogSvc`: A logging service with configurable log levels and actions.
0025 * `NameMixin`: Provides a consistent API for managing algorithm names and descriptions.
0026 * `Configurable` and `PropertyMixin`: Enable algorithms to have configurable properties.
0027 * `RandomSvc`: A service for generating random numbers using various distributions.
0028 * `Service<SvcType>` and `ServiceSvc`: Infrastructure for managing services as lazy-evaluated singletons.
0029 * Type traits (`is_vector`, `is_optional`, `data_type_t`, `input_type_t`, `output_type_t`): Help with argument type deduction and mapping.
0030
0031 **In essence, this code provides a structured way to:**
0032
0033 * Define algorithms with well-defined inputs and outputs.
0034 * Manage algorithm creation and access through a service.
0035 * Configure algorithms using properties.
0036 * Incorporate logging and error handling.
0037 * Utilize common services like geometry and random number generation.
0038
0039 This framework is designed to promote modularity, reusability, and maintainability of algorithms within a larger C++ application.