"""Arithmetic expressions accepted by Biogeme: logical orMichel BierlaireSat Jun 14 2025, 10:26:25"""from__future__importannotationsimportloggingimportjax.numpyasjnpfrombiogeme.floating_pointimportJAX_FLOATfrom.base_expressionsimportExpressionOrNumericfrom.binary_expressionsimportBinaryOperatorfrom.jax_utilsimportJaxFunctionTypelogger=logging.getLogger(__name__)
[docs]classOr(BinaryOperator):""" Logical or """def__init__(self,left:ExpressionOrNumeric,right:ExpressionOrNumeric):"""Constructor :param left: first arithmetic expression :type left: biogeme.expressions.Expression :param right: second arithmetic expression :type right: biogeme.expressions.Expression """super().__init__(left,right)
[docs]defdeep_flat_copy(self)->Or:"""Provides a copy of the expression. It is deep in the sense that it generates copies of the children. It is flat in the sense that any `MultipleExpression` is transformed into the currently selected expression. The flat part is irrelevant for this expression. """copy_left=self.left.deep_flat_copy()copy_right=self.right.deep_flat_copy()returntype(self)(left=copy_left,right=copy_right)
def__str__(self)->str:returnf'({self.left} or {self.right})'def__repr__(self)->str:returnf'({repr(self.left)} or {repr(self.right)})'
[docs]defget_value(self)->float:"""Evaluates the value of the expression :return: value of the expression :rtype: float """ifself.left.get_value()!=0.0:return1.0ifself.right.get_value()!=0.0:return1.0return0.0
[docs]defrecursive_construct_jax_function(self,numerically_safe:bool)->JaxFunctionType:""" Generates a function to be used by biogeme_jax. Must be overloaded by each expression :return: the function takes two parameters: the parameters, and one row of the database. """left_jax:JaxFunctionType=self.left.recursive_construct_jax_function(numerically_safe=numerically_safe)right_jax:JaxFunctionType=self.right.recursive_construct_jax_function(numerically_safe=numerically_safe)defthe_jax_function(parameters:jnp.ndarray,one_row:jnp.ndarray,the_draws:jnp.ndarray,the_random_variables:jnp.ndarray,)->float:left_value=left_jax(parameters,one_row,the_draws,the_random_variables)right_value=right_jax(parameters,one_row,the_draws,the_random_variables)condition=(left_value!=0.0)|(right_value!=0.0)returncondition.astype(JAX_FLOAT)returnthe_jax_function