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Showing content from https://11l-lang.org/transpiler below:

The Python → 11l → C++ transpiler

The Python → 11l → C++ transpiler is a union of 2 transpilers:

1. The Python → 11l transpiler, which translates Python code into 11l.
2. The 11l → C++ transpiler, which translates 11l code into C++ [which is then compiled into machine code].

In a sense, the 11l programming language acts as an intermediate language, but since it is very similar and close to the Python language (albeit semantically, not syntactically), it is generally not required to study it specifically.

Also it should be noted that this transpiler generates a human-readable code, which simplifies debugging of the generated program.

Here is the results for

(as an input data the source of

is taken):

(Shed Skin is not listed here because it does not support nested functions.)

This is the results for a Prime number problem (with K = 1000000):

import math

k = int(input())
n = k * 17
primes = [True] * n
primes[0] = primes[1] = False

for i in range(2, int(math.sqrt(n)) + 1):
    if not primes[i]:
        continue
    for j in range(i * i, n, i):
        primes[j] = False

for i in range(n):
    if primes[i]:
        if k == 1:
            print(i)
            break
        k -= 1

And this code

def is_right_triangle(x1, y1, x2, y2):
    a = x1**2 + y1**2
    b = x2**2 + y2**2
    c = (x2 - x1)**2 + (y2 - y1)**2
    return (a + b == c) or (b + c == a) or (c + a == b)

LIMIT = 51
ans = 0
for x1 in range(LIMIT):
    for y1 in range(LIMIT):
        for x2 in range(LIMIT):
            for y2 in range(LIMIT):
                
                if y2 * x1 < y1 * x2 and is_right_triangle(x1, y1, x2, y2):
                    ans += 1
print(ans)

for solving

is ~500 times faster (the Python → 11l → C++ transpiler vs CPython):

Here is the latest version of the Python → 11l → C++ transpiler:

.

Usage:

1. Unpack archive to whatever directory you want.
2. Open Terminal/cmd.
3. Run command:
   

   <path_to_unpacked_archive_files>\11l <source_python_or_11l_file>

   on Windows, or
   

   <path_to_unpacked_archive_files>/11l <source_python_or_11l_file>

   on Linux.

Having problems with

transpiling your Python

program? Please read

.

And if you haven't found a solution there, then

.

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