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@ -33,31 +33,31 @@ class FeaturesExtractor:
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) -> None:
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variables = solver.get_variables(with_static=True)
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constraints = solver.get_constraints(with_static=True, with_lhs=self.with_lhs)
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sample.put_vector("var_lower_bounds", variables.lower_bounds)
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sample.put_vector("var_names", variables.names)
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sample.put_vector("var_obj_coeffs", variables.obj_coeffs)
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sample.put_vector("var_types", variables.types)
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sample.put_vector("var_upper_bounds", variables.upper_bounds)
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sample.put_vector("constr_names", constraints.names)
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# sample.put("constr_lhs", constraints.lhs)
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sample.put_vector("constr_rhs", constraints.rhs)
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sample.put_vector("constr_senses", constraints.senses)
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sample.put_vector("static_var_lower_bounds", variables.lower_bounds)
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sample.put_vector("static_var_names", variables.names)
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sample.put_vector("static_var_obj_coeffs", variables.obj_coeffs)
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sample.put_vector("static_var_types", variables.types)
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sample.put_vector("static_var_upper_bounds", variables.upper_bounds)
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sample.put_vector("static_constr_names", constraints.names)
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# sample.put("static_constr_lhs", constraints.lhs)
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sample.put_vector("static_constr_rhs", constraints.rhs)
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sample.put_vector("static_constr_senses", constraints.senses)
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vars_features_user, var_categories = self._extract_user_features_vars(
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instance, sample
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)
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sample.put_vector("var_categories", var_categories)
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sample.put_vector("static_var_categories", var_categories)
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self._extract_user_features_constrs(instance, sample)
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self._extract_user_features_instance(instance, sample)
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alw17 = self._extract_var_features_AlvLouWeh2017(sample)
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sample.put_vector_list(
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"var_features",
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"static_var_features",
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self._combine(
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[
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alw17,
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vars_features_user,
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sample.get_vector("var_lower_bounds"),
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sample.get_vector("var_obj_coeffs"),
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sample.get_vector("var_upper_bounds"),
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sample.get_vector("static_var_lower_bounds"),
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sample.get_vector("static_var_obj_coeffs"),
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sample.get_vector("static_var_upper_bounds"),
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],
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),
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)
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@ -97,10 +97,7 @@ class FeaturesExtractor:
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sample.get_vector("lp_var_sa_ub_down"),
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sample.get_vector("lp_var_sa_ub_up"),
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sample.get_vector("lp_var_values"),
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sample.get_vector_list("var_features_user"),
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sample.get_vector("var_lower_bounds"),
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sample.get_vector("var_obj_coeffs"),
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sample.get_vector("var_upper_bounds"),
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sample.get_vector_list("static_var_features"),
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],
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),
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)
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@ -108,7 +105,7 @@ class FeaturesExtractor:
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"lp_constr_features",
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self._combine(
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[
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sample.get_vector_list("constr_features"),
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sample.get_vector_list("static_constr_features"),
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sample.get_vector("lp_constr_dual_values"),
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sample.get_vector("lp_constr_sa_rhs_down"),
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sample.get_vector("lp_constr_sa_rhs_up"),
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@ -116,11 +113,11 @@ class FeaturesExtractor:
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],
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),
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)
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instance_features = sample.get_vector("instance_features")
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assert instance_features is not None
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static_instance_features = sample.get_vector("static_instance_features")
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assert static_instance_features is not None
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sample.put_vector(
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"lp_instance_features",
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instance_features
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static_instance_features
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+ [
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sample.get_scalar("lp_value"),
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sample.get_scalar("lp_wallclock_time"),
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@ -146,7 +143,7 @@ class FeaturesExtractor:
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user_features: List[Optional[List[float]]] = []
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var_features_dict = instance.get_variable_features()
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var_categories_dict = instance.get_variable_categories()
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var_names = sample.get_vector("var_names")
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var_names = sample.get_vector("static_var_names")
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assert var_names is not None
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for (i, var_name) in enumerate(var_names):
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if var_name not in var_categories_dict:
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@ -190,7 +187,7 @@ class FeaturesExtractor:
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lazy: List[bool] = []
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constr_categories_dict = instance.get_constraint_categories()
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constr_features_dict = instance.get_constraint_features()
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constr_names = sample.get_vector("constr_names")
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constr_names = sample.get_vector("static_constr_names")
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assert constr_names is not None
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for (cidx, cname) in enumerate(constr_names):
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@ -226,9 +223,9 @@ class FeaturesExtractor:
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lazy.append(instance.is_constraint_lazy(cname))
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else:
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lazy.append(False)
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sample.put_vector_list("constr_features", user_features)
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sample.put_vector("constr_lazy", lazy)
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sample.put_vector("constr_categories", categories)
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sample.put_vector_list("static_constr_features", user_features)
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sample.put_vector("static_constr_lazy", lazy)
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sample.put_vector("static_constr_categories", categories)
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def _extract_user_features_instance(
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self,
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@ -247,15 +244,15 @@ class FeaturesExtractor:
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f"Instance features must be a list of numbers. "
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f"Found {type(v).__name__} instead."
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)
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constr_lazy = sample.get_vector("constr_lazy")
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constr_lazy = sample.get_vector("static_constr_lazy")
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assert constr_lazy is not None
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sample.put_vector("instance_features", user_features)
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sample.put_scalar("static_lazy_count", sum(constr_lazy))
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sample.put_vector("static_instance_features", user_features)
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sample.put_scalar("static_constr_lazy_count", sum(constr_lazy))
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# Alvarez, A. M., Louveaux, Q., & Wehenkel, L. (2017). A machine learning-based
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# approximation of strong branching. INFORMS Journal on Computing, 29(1), 185-195.
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def _extract_var_features_AlvLouWeh2017(self, sample: Sample) -> List:
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obj_coeffs = sample.get_vector("var_obj_coeffs")
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obj_coeffs = sample.get_vector("static_var_obj_coeffs")
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obj_sa_down = sample.get_vector("lp_var_sa_obj_down")
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obj_sa_up = sample.get_vector("lp_var_sa_obj_up")
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values = sample.get_vector(f"lp_var_values")
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