alchemyst

#!/usr/bin/env python

import argparse
import subprocess
import pathlib

parser = argparse.ArgumentParser("Concatenate and encode movies")
parser.add_argument("infiles", nargs='+', 
                    type=argparse.FileType('r'), 
                    help='Files to encode')

alchemyst

alchemyst

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alchemyst

alchemyst

import logging
import sys
import functools

logging.basicConfig(level=logging.DEBUG)

LOGGER = logging

def log_if_exception(message):
    def decorator(function):

alchemyst

#!/usr/bin/env python

import tkinter as tk
import math
import re
from collections import ChainMap

Nrows = 5
Ncols = 5

alchemyst

#!/usr/bin/env python

import tkinter as tk
import time
import random

Nsegments = 100

class Application(tk.Frame):
    def __init__(self, master=None):

alchemyst

import numpy as np
import time
from scipy.optimize import minimize, nnls
from cvxpy import *

np.random.seed(1)

""" Test-data generator """
def create_test_data(samples, features, noise, loc=10, scale=2.5):
    m = np.random.normal(loc=loc, scale=scale, size=(samples, features))

alchemyst

README is empty

alchemyst

N = 1000
h = 5
 
y = numpy.random.randn(N)
x = numpy.zeros_like(y)
 
for i in range(h, len(y)):
    x[i] = x[i-1] + y[i - h]