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diff --git a/doc/python_api/rst/bge_types/bge.types.SCA_RandomActuator.rst b/doc/python_api/rst/bge_types/bge.types.SCA_RandomActuator.rst deleted file mode 100644 index ef497d81643..00000000000 --- a/doc/python_api/rst/bge_types/bge.types.SCA_RandomActuator.rst +++ /dev/null @@ -1,124 +0,0 @@ -SCA_RandomActuator(SCA_IActuator) -================================= - -base class --- :class:`SCA_IActuator` - -.. class:: SCA_RandomActuator(SCA_IActuator) - - Random Actuator - - .. attribute:: 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. - - .. attribute:: 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. - - .. attribute:: 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. - - .. attribute:: distribution - - Distribution type. (read-only). Can be one of :ref:`these constants <logic-random-distributions>` - - :type: integer - - .. attribute:: 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. - - .. method:: setBoolConst(value) - - Sets this generator to produce a constant boolean value. - - :arg value: The value to return. - :type value: boolean - - .. method:: setBoolUniform() - - Sets this generator to produce a uniform boolean distribution. - - The generator will generate True or False with 50% chance. - - .. method:: setBoolBernouilli(value) - - Sets this generator to produce a Bernouilli distribution. - - :arg value: Specifies the proportion of False values to produce. - - * 0.0: Always generate True - * 1.0: Always generate False - :type value: float - - .. method:: setIntConst(value) - - Sets this generator to always produce the given value. - - :arg value: the value this generator produces. - :type value: integer - - .. method:: setIntUniform(lower_bound, upper_bound) - - Sets this generator to produce a random value between the given lower and - upper bounds (inclusive). - - :type lower_bound: integer - :type upper_bound: integer - - .. method:: 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. - - :type value: float - - .. method:: setFloatConst(value) - - Always generate the given value. - - :type value: float - - .. method:: setFloatUniform(lower_bound, upper_bound) - - Generates a random float between lower_bound and upper_bound with a - uniform distribution. - - :type lower_bound: float - :type upper_bound: float - - .. method:: setFloatNormal(mean, standard_deviation) - - Generates a random float from the given normal distribution. - - :arg mean: The mean (average) value of the generated numbers - :type mean: float - :arg standard_deviation: The standard deviation of the generated numbers. - :type standard_deviation: float - - .. method:: setFloatNegativeExponential(half_life) - - Generate negative-exponentially distributed numbers. - - The half-life 'time' is characterized by half_life. - - :type half_life: float |