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go generate, a standard way to invoke code generators; go mod, for creating a new module, adding dependencies, upgrading dependencies, etc. It also includes profiling and debugging support, fuzzing capabilities to detect bugs, runtime instrumentation (for example, to track garbage collection pauses), and a data race detector.
Multiple dispatch or multimethods is a feature of some programming languages in which a function or method can be dynamically dispatched based on the run-time (dynamic) type or, in the more general case, some other attribute of more than one of its arguments. [1]
The ::= rule defines a new algebraic data type, a data type with only data constructors.; The <~ rule defines an interface type - it indicates what properties are characteristic of a person and also gives type constraints on these properties.
The Transformation Priority Premise is a name given to the mental structure TDD’ers build up over time as to balance your code from being too specific, rather than generic. The idea is that with each example you add to the tests you move up the Transformation Priority list, making your code more generic, so able to handle more of the cases.
Data structure schemas (called messages) and services are described in a proto definition file (.proto) and compiled with protoc. This compilation generates code that can be invoked by a sender or recipient of these data structures. For example, example.pb.cc and example.pb.h are generated from example.proto.
Construct is a Python library for the construction and deconstruction of data structures in a declarative fashion. In this context, construction, or building, refers to the process of converting (serializing) a programmatic object into a binary representation.
BASIC (Beginners' All-purpose Symbolic Instruction Code) is a family of general-purpose, high-level programming languages designed for ease of use. The original version was created by John G. Kemeny and Thomas E. Kurtz at Dartmouth College in 1963. They wanted to enable students in non-scientific fields to use computers.
In Python, if a name is intended to be "private", it is prefixed by one or two underscores. Private variables are enforced in Python only by convention. Names can also be suffixed with an underscore to prevent conflict with Python keywords. Prefixing with double underscores changes behaviour in classes with regard to name mangling.