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Use np.ndarray in Constraints.{basis_status,senses}

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This commit is contained in:
Alinson S. Xavier
2021-08-09 06:04:14 -05:00
parent 9ddda7e1e2
commit f809dd7de4
7 changed files with 42 additions and 32 deletions
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6
miplearn/features/extractor.py
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@@ -38,10 +38,10 @@ class FeaturesExtractor:
sample.put_array("static_var_obj_coeffs", variables.obj_coeffs)
sample.put_array("static_var_types", variables.types)
sample.put_array("static_var_upper_bounds", variables.upper_bounds)
sample.put_vector("static_constr_names", constraints.names)
sample.put_array("static_constr_names", constraints.names)
# sample.put("static_constr_lhs", constraints.lhs)
sample.put_array("static_constr_rhs", constraints.rhs)
sample.put_vector("static_constr_senses", constraints.senses)
sample.put_array("static_constr_senses", constraints.senses)
vars_features_user, var_categories = self._extract_user_features_vars(
instance, sample
)
@@ -78,7 +78,7 @@ class FeaturesExtractor:
sample.put_array("lp_var_sa_ub_down", variables.sa_ub_down)
sample.put_array("lp_var_sa_ub_up", variables.sa_ub_up)
sample.put_array("lp_var_values", variables.values)
sample.put_vector("lp_constr_basis_status", constraints.basis_status)
sample.put_array("lp_constr_basis_status", constraints.basis_status)
sample.put_array("lp_constr_dual_values", constraints.dual_values)
sample.put_array("lp_constr_sa_rhs_down", constraints.sa_rhs_down)
sample.put_array("lp_constr_sa_rhs_up", constraints.sa_rhs_up)