RandomActuator(Actuator)¶
base classes — bpy_struct, Actuator
- class bpy.types.RandomActuator(Actuator)¶
Actuator to ..
- chance¶
Pick a number between 0 and 1. Success if you stay below this value
Type : float in [0, 1], default 0.0
- distribution¶
Choose the type of distribution
Type : enum in [‘BOOL_CONSTANT’, ‘BOOL_UNIFORM’, ‘BOOL_BERNOUILLI’, ‘INT_CONSTANT’, ‘INT_UNIFORM’, ‘INT_POISSON’, ‘FLOAT_CONSTANT’, ‘FLOAT_UNIFORM’, ‘FLOAT_NORMAL’, ‘FLOAT_NEGATIVE_EXPONENTIAL’], default ‘BOOL_CONSTANT’
- float_max¶
Choose a number from a range. Upper boundary of the range
Type : float in [-1000, 1000], default 0.0
- float_mean¶
A normal distribution. Mean of the distribution
Type : float in [-1000, 1000], default 0.0
- float_min¶
Choose a number from a range. Lower boundary of the range
Type : float in [-1000, 1000], default 0.0
- float_value¶
Always return this number
Type : float in [0, 1], default 0.0
- half_life_time¶
Negative exponential dropoff
Type : float in [-1000, 1000], default 0.0
- int_max¶
Choose a number from a range. Upper boundary of the range
Type : int in [-1000, 1000], default 0
- int_mean¶
Expected mean value of the distribution
Type : float in [0.01, 100], default 0.0
- int_min¶
Choose a number from a range. Lower boundary of the range
Type : int in [-1000, 1000], default 0
- int_value¶
Always return this number
Type : int in [-inf, inf], default 0
- property¶
Assign the random value to this property
Type : string, default “”
- seed¶
Initial seed of the random generator. Use Python for more freedom (choose 0 for not random)
Type : int in [0, 300000], default 0
- standard_derivation¶
A normal distribution. Standard deviation of the distribution
Type : float in [-1000, 1000], default 0.0
- use_always_true¶
Always false or always true
Type : boolean, default False
Inherited Properties
Inherited Functions
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