def compute_model_at(new_grid: Union[ndarray], model: Model, **kwargs):
"""
This function creates a new custom grid and deactivate all the other grids and compute the model there:
This function does the same as :func:`compute_model` plus the addition functionallity of
passing a given array of points where evaluate the model instead of using the :class:`gempy.core.data.GridClass`.
Args:
kwargs: :func:`compute_model` arguments
Returns:
:class:`Solution`
"""
# #TODO create backup of the mesh and a method to go back to it
# set_grid(model, Grid('custom_grid', custom_grid=new_grid))
model.grid.deactivate_all_grids()
model.set_custom_grid(new_grid)
# Now we are good to compute the model again only in the new point
sol = compute_model(model, set_solutions=False, **kwargs)
return sol
def compute_model_at(new_grid: Union[ndarray], model: Model, **kwargs):
"""
This function does the same as :func:`gempy.core.gempy_front.compute_model` plus the addion functionallity of
passing a given array of points where evaluate the model instead of using the :class:`gempy.core.data.GridClass`.
Args:
model:
new_grid (:class:`_np.array`): 2D array with XYZ (columns) coorinates
kwargs: `compute_model` arguments
Returns:
gempy.core.data.Solution
"""
# #TODO create backup of the mesh and a method to go back to it
# set_grid(model, Grid('custom_grid', custom_grid=new_grid))
model.grid.deactivate_all_grids()
model.set_custom_grid(new_grid)
# Now we are good to compute the model again only in the new point
sol = compute_model(model, set_solutions=False, **kwargs)
return sol
