RandomActuator(Actuator)¶
base classes — bpy_struct, Actuator
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class
bpy.types.RandomActuator(Actuator)¶ -
chance¶ Pick a number between 0 and 1, success if it’s below this value
Type: float in [0, 1], default 0.0
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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’
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float_max¶ Choose a number from a range: upper boundary of the range
Type: float in [-1000, 1000], default 0.0
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float_mean¶ A normal distribution: mean of the distribution
Type: float in [-1000, 1000], default 0.0
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float_min¶ Choose a number from a range: lower boundary of the range
Type: float in [-1000, 1000], default 0.0
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float_value¶ Always return this number
Type: float in [0, 1], default 0.0
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half_life_time¶ Negative exponential dropoff
Type: float in [-1000, 1000], default 0.0
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int_max¶ Choose a number from a range: upper boundary of the range
Type: int in [-1000, 1000], default 0
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int_mean¶ Expected mean value of the distribution
Type: float in [0.01, 100], default 0.0
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int_min¶ Choose a number from a range: lower boundary of the range
Type: int in [-1000, 1000], default 0
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int_value¶ Always return this number
Type: int in [-inf, inf], default 0
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property¶ Assign the random value to this property
Type: string, default “”, (never None)
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seed¶ Initial seed of the random generator, use Python for more freedom (choose 0 for not random)
Type: int in [0, 500000], default 0
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standard_derivation¶ A normal distribution: standard deviation of the distribution
Type: float in [-1000, 1000], default 0.0
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use_always_true¶ Always false or always true
Type: boolean, default False
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Inherited Properties
Inherited Functions