SCA_RandomActuator(SCA_IActuator)¶
base class — SCA_IActuator
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class
bge.types.
SCA_RandomActuator
(SCA_IActuator)¶ Random Actuator
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seed
¶ Seed of the random number generator.
Type: integer. Equal seeds produce equal series. If the seed is 0, the generator will produce the same value on every call.
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para1
¶ the first parameter of the active distribution.
Type: float, read-only. Refer to the documentation of the generator types for the meaning of this value.
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para2
¶ the second parameter of the active distribution.
Type: float, read-only Refer to the documentation of the generator types for the meaning of this value.
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distribution
¶ Distribution type. (read-only). Can be one of these constants
Type: integer
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propName
¶ the name of the property to set with the random value.
Type: string If the generator and property types do not match, the assignment is ignored.
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setBoolConst
(value)¶ Sets this generator to produce a constant boolean value.
Parameters: value (boolean) – The value to return.
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setBoolUniform
()¶ Sets this generator to produce a uniform boolean distribution.
The generator will generate True or False with 50% chance.
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setBoolBernouilli
(value)¶ Sets this generator to produce a Bernouilli distribution.
Parameters: value (float) – Specifies the proportion of False values to produce.
- 0.0: Always generate True
- 1.0: Always generate False
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setIntConst
(value)¶ Sets this generator to always produce the given value.
Parameters: value (integer) – the value this generator produces.
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setIntUniform
(lower_bound, upper_bound)¶ Sets this generator to produce a random value between the given lower and upper bounds (inclusive).
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setIntPoisson
(value)¶ Generate a Poisson-distributed number.
This performs a series of Bernouilli tests with parameter value. It returns the number of tries needed to achieve succes.
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setFloatConst
(value)¶ Always generate the given value.
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setFloatUniform
(lower_bound, upper_bound)¶ Generates a random float between lower_bound and upper_bound with a uniform distribution.
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setFloatNormal
(mean, standard_deviation)¶ Generates a random float from the given normal distribution.
Parameters:
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setFloatNegativeExponential
(half_life)¶ Generate negative-exponentially distributed numbers.
The half-life ‘time’ is characterized by half_life.
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