Module matlab_macro

Structs

• SmallRng
  A small-state, fast non-crypto PRNG
• StdRng
  The standard RNG. The PRNG algorithm in StdRng is chosen to be efficient on the current platform, to be statistically strong and unpredictable (meaning a cryptographically secure PRNG).
• ThreadRng
  A reference to the thread-local generator

Traits

• CryptoRng
  A marker trait used to indicate that an RngCore or BlockRngCore implementation is supposed to be cryptographically secure.
• Distribution
  Types (distributions) that can be used to create a random instance of T.
• IteratorRandom
  Extension trait on iterators, providing random sampling methods.
• Rng
  An automatically-implemented extension trait on RngCore providing high-level generic methods for sampling values and other convenience methods.
• RngCore
  The core of a random number generator.
• SeedableRng
  A random number generator that can be explicitly seeded.
• SliceRandom
  Extension trait on slices, providing random mutation and sampling methods.

Functions

• random
  Generates a random value using the thread-local random number generator.
• thread_rng
  Retrieve the lazily-initialized thread-local random number generator, seeded by the system. Intended to be used in method chaining style, e.g. thread_rng().gen::<i32>(), or cached locally, e.g. let mut rng = thread_rng();. Invoked by the Default trait, making ThreadRng::default() equivalent.