Hi! I have some files providing GAP readable data, i.e., libgap.Read(source) works. The data consist of a rec(...) (roughly corresponding to a Python dict), where some of the values are lists of strings and other simple things, some are lists of lists of finite field elements, some are other records.
Gap interpretes the lists of lists as matrices, and in fact in my code I need to perform arithmetic operations with it. Unfortunately gap matrix arithmetic is very slow. Thus, I want to transform the libgap data into the corresponding Sage data. Unfortunately, the transition from libgap to Sage is very slow: Reading the data into libgap takes 16 seconds, translating the data to Sage takes 3 minutes. Most of that time is used for the transformation of the matrices. Actually I am using boilerplate to speed things up, otherwise it would take a lot longer than 3 minutes. As an alternative idea, I tried to change the content of the data file into something that can be evaluated by sage_eval. But that's a lot worse: Changing the data format took about one minute, sage_eval consumed an insane amount of memory. Can you tell me a different approach to make things faster? I.e., either to read the data into Sage directly or via libgap, but not longer than twice the time needed to read the data into libgap? Best regards, Simon -- You received this message because you are subscribed to the Google Groups "sage-support" group. To unsubscribe from this group and stop receiving emails from it, send an email to sage-support+unsubscr...@googlegroups.com. To post to this group, send email to sage-support@googlegroups.com. Visit this group at https://groups.google.com/group/sage-support. For more options, visit https://groups.google.com/d/optout.
