diffCheck.df_util module#
- diffCheck.df_util.compute_ordered_vertices(brep_face)#
Retrieve the ordered vertices of a brep face
- Return type:
List[Point3d]
- diffCheck.df_util.detect_idx_pt_in_list(pt, list)#
Detect the index of a point in a list
- Parameters:
pt – the point to check
list – the list to check
- Return type:
- Returns:
the index of the point in the list
- diffCheck.df_util.get_crv_circle_center(crv)#
Get the center of a circle
- Return type:
Point3d
- diffCheck.df_util.get_doc_2_meters_unitf()#
Retrieve the document unit system and get the multiplier factor to be multiplied to all the component’s inputs for df functions since they are all based in meters.
- Returns:
the multiplier factor to be multiplied to the inputs to convert them to meters
- diffCheck.df_util.is_pt_unique_in_dict(pt, pt_dict)#
Detect if the point exists in the dictionary, and if so, return the index
- Parameters:
pt – the point to check
pt_dict – the dictionary to check
- Return type:
- Returns:
True if the point is unique, False otherwise
- diffCheck.df_util.is_pt_unique_in_list(pt, list)#
Detect if the point exists in the list, and if so, return the index
- Parameters:
pt – the point to check
list – the list to check
- Return type:
- Returns:
True if the point is unique, False otherwise
Merge the shared indexes of a dictionary Assume we have a dictionary with lists of indexes as values. We want to merge the lists that share some indexes, in order to have a dictionary with, for each key, indexes that are not present under other keys. :type original_dict: :param original_dict: the dictionary to merge :return: the merged dictionary