weighted-tqdm 0.3

weighted_tqdm allows for weighted iterations in tqdm progress bars.

weighted_tqdm

Install via pip install weighted_tqdm

Import via from weighted_tqdm import *

Description

weighted_tqdm works equivalently to tqdm, accepting all the same arguments, but also accepts a weights argument. This argument specifies the weights of each item in the iterable and can be given as a function of the iterable or be any iterable (list, array, tuple...). The progress bar will then take into account the weights of each item in it's prediciton of the time, and it's progress bar will be weighted accordingly. To the left of the progress bar an iteration counter is shown. qudit_tqdm is a special version of tqdm, that predicts the remaining time for calculations in quantum mechanics, with the added arguments dit specifying whether its a calculation of qubits(default, dit = 0.3, = 3 for qutrits), and the argument exp specifying the scaling of computational time with the dimension of a hilbert space.

Examples:

from weighted_tqdm import *

how_many_qubits = [1,2,3,4,5]
qubits weights = lambda x: (2**x)**3
for i in weighted_tqdm(how_many_qubits, weights=weights):
    # do something

or equivalently

from weighted_tqdm import *
how_many_qubits = [1,2,3,4,5]
for i in qudit_tqdm(how_many_qubits, dim=2, exp=3):
    # do something

Authors:

By Michael Schilling