polymath | Polymath is a general purpose PHP 5.3 Mathematics Library | Math library

I am trying to follow this trick.

https://blog.polymath.network/try-catch-in-solidity-handling-the-revert-exception-f53718f76047

For solidity version 5 all works and I can do this:

I'm looking to include the results of multiple statistical tests in a faceted ggplot chart.

I've found lots of excellent examples (like this) on how to include something similar in a title or annotation, however, my interest lies in including it as a text annotation so that I can show the results of many tests on one figure.

I have been able to do this using standard text annotations, however I want to present my results using polymath/expressions so that I can produce an annotation that follows the APA style guide as implemented in the package [ggstatsplot]1, see example below:

I've included code for a reproducible example below using the diamonds data from ggplot2. Some of the things that I have tried include:

• trying to store bquote and expression objects as columns in the wilcox_stats object — however dplyr doesn't seem to like it
• trying to call this all from ggplot — however it got quite messy trying to exclude all the annotations that geom_text wanted to print

Any assistance or pointers you can provide would be much appreciated.

I've implemented algorithms for finding an inverse of a polynomial as described at onboard security resourses, but these algorithms imply that GCD of poly that I want to invert and X^N - 1 is 1.

For proper NTRU implementation I need to randomly generate small polynomials and define if their inverse exist, for now I don't have such functionality. In order to get it work i tried to implement Euclidean algorithm as described in documentation for NTRU Open Source project. But I found some things very inconsistent which bugs me off. Division and Euclidean algorithms can be found on page 19 of named document.

So, in division algorithm the inputs are polynomials a and b. It is stated that polynomial b must be of degree N-1.

Pseudocode for division algorithm (taken from this answer):

I have comma corrupt csv file that can be read by microsoft excel file, but can't be read well using pandas dataframe, I got macro solution, but I want solution that works in python as well, here's first 5 lines of my data