Hi Denis,

Thank you for the input and the work on ExprTk.

These new features will greatly simplify the expressions. I think that this can 
be used in the graphical user interface of OpenTURNS, in order to manage more 
complex expressions.

Best regards,

Michaël

-----Message d'origine-----
De : [email protected] [mailto:[email protected]] 
Envoyé : lundi 12 mars 2018 21:26
À : BAUDIN Michael <[email protected]>
Cc : [email protected]
Objet : Re: [ot-users] Simplified symbolic functions

Hello Michael,

We investigated using ExprTk to parse analytical formulas instead of muParser, 
it is known to be faster.
Almost all muParser formulas can be parsed by ExprTk without changes, but it 
also provides many more features.  And multiple outputs are trivial with this 
backend.
This has been implemented on current master, your example can be written:

inputs = ['Q', 'Ks', 'Zv', 'Zm', 'Hd', 'Zb', 'L', 'B'] outputs = ['H', 'S'] 
formula = """var alpha := (Zm - Zv)/L; H := (Q/(Ks*B*sqrt(alpha)))^(3.0/5.0); 
var Zc := H + Zv; var Zd := Zb + Hd; S := Zc - Zd;"""
myFunction = SymbolicFunction(inputs, outputs, formula)

This is almost straightforward; input and output variables are declared, all 
other variables must be prefixed by the keyword 'var', assignment is ':=', and 
statements must be separated by semicolons.

But Python can be as fast as SymbolicFunction; pull request #699 avoids copies 
between OT and Python, your code could be rewritten as

import numpy as np
def functionCrueSample(X) :
    Q, Ks, Zv, Zm, Hd, Zb, L, B = np.array(X, copy=False).T
    alpha = (Zm - Zv)/L
    H = (Q/(Ks*B*np.sqrt(alpha)))**(3.0/5.0)
    Zc = H + Zv
    Zd = Zb + Hd
    S = Zc - Zd;
    Y = np.zeros((len(H), 2))
    Y[:,0] = H
    Y[:,1] = S
    return Y

myFunction = PythonFunction(8, 2, func_sample=functionCrueSample)

Denis

2018-02-14 12:30 GMT+01:00 BAUDIN Michael <[email protected]>:
> Hi,
>
>
>
> I have a symbolic function that I would like to simplify and I do not 
> see how.
>
>
>
> Here is the test case. The function has 8 inputs and 2 outputs. In 
> Python it is simple to define :
>
>
>
> def functionCrue(X) :
>
>     Q, Ks, Zv, Zm, Hd, Zb, L, B = X
>
>     alpha = (Zm - Zv)/L
>
>     H = (Q/(Ks*B*sqrt(alpha)))**(3.0/5.0)
>
>     Zc = H + Zv
>
>     Zd = Zb + Hd
>
>     S = Zc - Zd
>
>     return [H,S]
>
> myFunction = PythonFunction(8, 2, functionCrue)
>
>
>
> As you can see, the code is simplified by intermediate variables which 
> are used by subsequent Python statements. For exemple, the slope of 
> the river alpha is first computed, then the height H is computed 
> depending on the slope. Then the variable S is computed based on Zc 
> and Zd, where Zc is computed depending on the height H.
>
>
>
> When I define the function as a symbolic function, the current 
> definition is more involved.
>
>
>
> inputs = ['Q', 'Ks', 'Zv', 'Zm', 'Hd', 'Zb', 'L', 'B']
>
> formulas = ['(Q/(Ks*B*sqrt((Zm - 
> Zv)/L)))^(3.0/5.0)','(Q/(Ks*B*sqrt((Zm - Zv)/L)))^(3.0/5.0)+Zv-(Zb + 
> Hd)']
>
> myFunction = SymbolicFunction(inputs, formulas)
>
>
>
> As you can see, I cannot reuse the value of the first output into the 
> second output.
>
>
>
> The following interface would be much easier to use. The formulas 
> variable is a list of couples, where the first item is the name of the 
> output variable and the second item is the string to evaluate it.
>
>
>
> inputs = ['Q', 'Ks', 'Zv', 'Zm', 'Hd', 'Zb', 'L', 'B']
>
> output1 = [‘alpha’, '(Zm - Zv)/L']
>
> output2 = [‘H’, '(Q/(Ks*B*sqrt(alpha)))^(3.0/5.0)']
>
> output3 = [‘Zc’, 'H + Zv']
>
> output4 = [‘Zd’, 'Zb + Hd']
>
> output5 = [‘S’, 'Zc - Zd']
>
> formulas = [output1,output2,output3,output4,output5]
>
> myFunction = SymbolicFunction(inputs, formulas)
>
>
>
> Is there another way of doing this ? Do you agree that the suggestion 
> is worth being developed ?
>
>
>
> Best regards,
>
>
>
> Michaël
>
>
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l'intention exclusive des destinataires et les informations qui y figurent sont 
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destination, toute diffusion ou toute publication totale ou partielle, est 
interdite sauf autorisation expresse.

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copier, de le faire suivre, de le divulguer ou d'en utiliser tout ou partie. Si 
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ainsi que toutes ses copies, et de n'en garder aucune trace sur quelque support 
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l'expéditeur par retour du message.

Il est impossible de garantir que les communications par messagerie 
électronique arrivent en temps utile, sont sécurisées ou dénuées de toute 
erreur ou virus.
____________________________________________________

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addressees. The information contained in this Message is confidential. Any use 
of information contained in this Message not in accord with its purpose, any 
dissemination or disclosure, either whole or partial, is prohibited except 
formal approval.

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part of it. If you have received this message in error, please delete it and 
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