Fix EGMDO generated code to work with SMT > 1.3.0 (#199)

* Upgrade SMT 2.6.2+ : predict_variance_gradient API call

* Upgrade Python requirements

* Update smt, egobox in requirements.txt

* Fix predict_variance_gradient call with smt 2.6.2

* Fix stupid typo

app/lib/whats_opt/templates/egmdo/random_analysis.py.erb

@@ -81,7 +81,8 @@ class <%= disc.impl.py_classname %>RandomDiscipline(om.ExplicitComponent):
 <%- disc.impl.numeric_output_vars.each do |v| -%>
         i = 0
         sigma = np.sqrt(self.gp_<%= v.py_varname %>.predict_variances(inputs_gp))
-        d_sigma = self.gp_<%= v.py_varname %>.predict_variance_derivatives(inputs_gp)/(2.0*sigma)
+        sigma += 1e-8  # to avoid division by zero if sigma is zero (1e-8 ~ sqrt(machine epsilon))
+        d_sigma = np.atleast_2d(self.gp_<%= v.py_varname %>.predict_variance_gradient(inputs_gp))/(2.0*sigma)
         for name in sorted(inputs.keys()):
             if name in random_inputs:
                 sigma = np.sqrt(self.gp_<%= v.py_varname %>.predict_variances(inputs_gp))

services/requirements.txt

@@ -1,12 +1,12 @@
-numpy 
+numpy<2.0
 pandas 
 scipy 
 cython 
 scikit-learn
 wop
-smt~=2.5.0
+smt~=2.6.2
 salib~=1.4.7
 thrift~=0.20.0
 openturns~=1.21.0
-egobox~=0.16.0
+egobox~=0.20.0