jeremy9959

# %%
# Needs to have roster.csv available to convert netid to student name
import os
import re
import pandas as pd

AssignmentKey = r"Final Project"
# %%
allfiles = os.listdir()
files = [f for f in allfiles if re.match(r".*\.ipynb$", f)]

jeremy9959

## Create the virtual environment
conda create -n 'environment_name'

## Activate the virtual environment
conda activate 'environment_name'

## Make sure that ipykernel is installed
pip install --user ipykernel

## Add the new virtual environment to Jupyter

jeremy9959

# More for illustration than practical computation
# A "real" algorithm works modulo the determinant of the matrix to avoid blowup in the Euclid algorithm.
# See Cohen's book for details
# Note: this is designed to mimic the approach over a PID, so you can compute the generator of an ideal (a,b) but there's
# no size used (as opposed to in other implementations)

import numpy as np

def euclid(a,b):

jeremy9959

class Gaussian:
    "Class representing Gaussian integers, with arithmetic operations"
    
    def __init__(self,a,b):
        self._real=a
        self._imag=b

    def real(self):
        return self._real

jeremy9959

import numpy as np
from numpy.random import default_rng
rng=default_rng()

def rA(n):
    """make a random nxn integer matrix with entries in the range -30,30"""
    A=rng.integers(-30,30,size=n*n).reshape(n,n)
    return A

def swapcol(A,i,j):

jeremy9959

def euclid(a,b):
    x0,x1=1,0
    y0,y1=0,1
    r0,r1=a,b
    q=""
    format_string="{:>14} {:>14} {:>14} {:>14}"
    print(format_string.format("",a,x0,y0))
    while r1>0:
        print(format_string.format(q,r1,x1,y1))
        q=r0//r1

jeremy9959

from sklearn.linear_model import Ridge
# generate data
x=np.random.random(n_points)
y=np.sin(2*np.pi*x)+np.random.normal(0,0.1,n_points)

# make a ridge object with alpha=whatever you want
clf = Ridge(alpha=0)

# fit the ridge object to the data

jeremy9959

def qr(x,y):
    q=x//y
    r=x-q*y
    if r<0:
       q+=1
       r-=y
    return q,r

def eea(x, y):
    r0=x

jeremy9959

This is a test

Does the vscode gistpad extension work well?

jeremy9959

%.html : %.md
	pandoc -s --mathjax -t slidy $< -o $@

%.pdf : %.md
	pandoc -s --slide-level=2 --variable classoption=t --mathjax -t beamer $< -o $@