Overview

A Python transpiler to $\LaTeX$ that outputs the pseudocode of CSE214 with Prof. Ganapathi. May still require manual tweaking of the output on the user's end for certain edge cases, but gets the bulk of the job done.

Run converter.py -h to get started.

Array syntax

# ex1.py def arrays(p1: Array(), p2: Array((a, b))): A = Array() B = Array((a, b)) C = Array(B[1:n]) C = Array((a, b), (c, d)) D = Array((a, b), C[1:n])

converter.py ex1.py -o my_file.tex -t 0

Other data structures syntax

# ex2.py def Structures(): A = List() B = Mat((1, b), (1, d)) C = SLL() D = CSLL() E = DLL() F = Stack() G = Queue() H = Deque() I = BST() for child in I.root: print(r"spam") J = Set() K = Map() K.Add([k, v]) # lists for kv pairs L = MinHeap() M = MaxHeap()

converter.py ex2.py -o my_file.tex -t 1

Example

# ex3.py def Foo(a, b, MyArr: Array()): 1 + 2 / 3 * 4 - 5 ** 6 // 7 % 8 (1 + 2) / (3 * 4) - 5 ** 6 // (7 % 8) _ # force newlines while False: x, y = a, b _ if 1 + 1 == 0: a.bar() elif not (MyArr[0] and (b.member or c)): Baz() else: return a // b if a else None _ for i in range(1, 10): for j in range(5): continue for i in range(0, 10, 3): for j in range(10, 0, -1): for k in range(10, 0, -2): break _ return Bar(Array(A, (1, n - 1)))

converter.py ex3.py -o my_file.tex -t 2