dannvix

#!/usr/bin/env python3

import math

# >> Discrete Fourier transform for sampled signals
# x [in]: sampled signals, a list of magnitudes (real numbers)
# yr [out]: real parts of the sinusoids
# yi [out]: imaginary parts of the sinusoids
def dft(x):
  N, yr, yi = len(x), [], []

dweinstein

#+TITLE: Template org-mode document for export to LaTeX/PDF
#+AUTHOR: David Weinstein

#+LaTeX_HEADER: \usepackage[left=1in,top=1in,right=1in,bottom=1.5in]{geometry}
#+LaTeX_HEADER: \usepackage{palatino}
#+LaTeX_HEADER: \usepackage{fancyhdr}
#+LaTeX_HEADER: \usepackage{sectsty}
#+LaTeX_HEADER: \usepackage{engord}
#+LaTeX_HEADER: \usepackage{cite}
#+LaTeX_HEADER: \usepackage{graphicx}

rhettinger

'Emulate max() as fully as possible in pure Python.'

# https://stackoverflow.com/questions/69997857/implementation-of-max-function-in-python/69997876#69997876
# https://github.com/python/mypy/issues/7231

from typing import TypeVar, Any, Iterator, Iterable, Optional
from typing import Union, Protocol, Callable, cast, Tuple, overload


class SupportsGT(Protocol):

tonyfast

tonyfast

pouyatafti

#include <string.h>
#include <unistd.h>

char *moomin[] = {
	"                 .   ,",
	"ASCII art (c) Maija Haavisto (@DiamonDie)",
	"",
	"            \"._.'        `' mh/VK",
	"          `.   `,      `.  .'",
	"          .   .'     `.   `' ;",

tebeka

#!/usr/bin/env python2
'''Serving dynamic images with Pandas and matplotlib (using flask).'''

import matplotlib
matplotlib.use('Agg')

import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from cStringIO import StringIO

ma-ric

#!/usr/bin/env python3

def flatten(t):
    """
    Generator flattening the structure
    
    >>> list(flatten([2, [2, "test", (4, 5, [7], [2, [6, 2, 6, [6], 4]], 6)]]))
    [2, 2, "test", 4, 5, 7, 2, 6, 2, 6, 6, 4, 6]
    """
    from collections.abc import Iterable