random (axisfuzzy.random)

Introduction

The axisfuzzy.random module provides a unified, extensible interface for reproducible and high-performance random generation of fuzzy numbers and arrays. It centralizes seed management, exposes a registry for mtype-specific random generators, and offers a concise API for creating both single Fuzznum objects and vectorized Fuzzarray instances. The design favors NumPy’s modern RNG, thread-safe global state, and direct backend population to ensure scalability and deterministic behavior for scientific workflows.

• random.base
  • Architecture
  • Classes
• random.registry
  • Architecture
  • Classes
  • Functions
  • RandomGeneratorRegistry
    • RandomGeneratorRegistry._instance
    • RandomGeneratorRegistry._lock
    • RandomGeneratorRegistry.clear()
    • RandomGeneratorRegistry.get_generator()
    • RandomGeneratorRegistry.is_registered()
    • RandomGeneratorRegistry.list_mtypes()
    • RandomGeneratorRegistry.register()
    • RandomGeneratorRegistry.unregister()
  • get_generator()
  • get_random_generator()
  • get_registry_random()
  • is_registered()
  • is_registered_random()
  • list_registered()
  • list_registered_random()
  • register_random()
  • registry()
  • unregister_random()
• random.seed
  • Architecture
  • Classes
  • Functions
  • GlobalRandomState
    • GlobalRandomState._lock
    • GlobalRandomState._rng
    • GlobalRandomState._seed
    • GlobalRandomState.get_generator()
    • GlobalRandomState.get_seed()
    • GlobalRandomState.set_seed()
    • GlobalRandomState.spawn_generator()
  • get_rng()
  • get_seed()
  • set_seed()
  • spawn_rng()
• random.api
  • Architecture
  • Key Functions
  • beta()
  • choice()
  • normal()
  • rand()
  • uniform()