!2w0?     Safe !"#$%&None"#>SWX/CcmaesOptimizer configuration. tgt+ is the type of the value to be optimized.cmaesThe Function to be optimized.cmaes(Extract the parameters to be tuned from tgt.cmaesCreate a value of type tgt from the parameters.cmaes#An initial guess of the parameters.cmaesThe global scaling factor.cmaesTypical deviation of each input parameters. The length of the list is adjusted to be the same as initXs, e.g. you can lazily use an infinite list here.cmaeskTypical mean of each input parameters. The length of this list too, is adjusted to be the same as initXs. cmaes-Assume the function to be rugged and/or noisy cmaes5How many re-evaluation to make to estimate the noise. cmaesPPerturb the parameters by this amount (relative to sigma) to estimate the noise cmaesPTerminate when one of the scaling grew too big (initial scaling was too small.) cmaes/Terminate when the global scaling grew too big.cmaesoTerminate when the function value diversity in the current and last few generations is smaller than this valuecmaesJTerminate when the improvement is not seen for this number of iterations.cmaesLTerminate when the deviations in the solutions are smaller than this value.cmaes%Repeat the CMA-ES output into stderr.cmaesBInterfaces for passing other configuration arguments directly to cma.pycmaes The default Config- values. Also consult the original document  .http://www.lri.fr/~hansen/pythoncma.html#-fmin7 for default values of the parameters not listed here.cmaesHCreate a minimizing problem, given a pure function and an initial guess.cmaes&Create a minimizing problem, given an IO function and an initial guess.cmaesDCreate a minimizing problem for a function on traversable structure t.cmaesQCreate a minimizing problem for an effectful function on a traversable structure t.cmaes>Create a minimizing problem for a function on almost any type a which contain Doubles.cmaesICreate a minimizing problem for an effectful function of almost any type.'cmaes?Silently check for python version and place the correct shebangcmaes+Execute the optimizer and get the solution.cmaeswgetDoubles and putDoubles are generic functions used to put [Double] in and out of generic data types. Let's test them.'let d3 = (1,2,3) :: (Double,Int,Double) getDoubles d3 [1.0,3.0]putDoubles [4,5] d3 (4.0,2,5.0)Clet complicated = ([0,1],(2,[3,4])) :: ([Double],(Double,[Double]))getDoubles complicated[0.0,1.0,2.0,3.0,4.0]"putDoubles [5,6,7,8,9] complicated([5.0,6.0],(7.0,[8.0,9.0]))<Putting back the obtained values should not change the data.d((\x -> putDoubles (getDoubles x) x == x) :: ([[Double]],(),(([(Double,String)]),[Double])) -> Bool)4You can get the original list back after putting it.((\(xs', y) -> let xs = take 3 (xs' ++ [0..]) in getDoubles (putDoubles xs y)==xs) :: ([Double], (Double,Double,Double)) -> Bool)  (      !"#$%&'()*"cmaes-0.2.3-9VH4NHOfRxjLJ6QLXNqOSR%Numeric.Optimization.Algorithms.CMAES Paths_cmaesConfigfuncIO projection embeddinginitXssigma0scaling typicalXs noiseHandling noiseReEvalsnoiseEps tolFacUpX tolUpSigmatolFun tolStagnationtolXverbose otherArgs pythonPathcmaesWrapperPath defaultConfigminimize minimizeIO minimizeT minimizeTIO minimizeG minimizeGIOrun getDoubles putDoublesversion getBinDir getLibDir getDynLibDir getDataDir getLibexecDir getSysconfDirgetDataFileNamewrapperFnFullPath