HiddenBeginner

import numpy as np


def make_grid(x, ncols, pad=1):
    """Make a grid of images. This is the NumPy version of torchvision.utils.make_grid.

    Args:
        x (np.ndarray): 4D mini-batch of np.ndarray with shape (n_samples, height, width, n_channels)
        ncols (int): the number of images displayed in each row.
        pad (int, optional): the size of white space around each image. Defaults to 1.

HiddenBeginner

import numpy as np

from joblib import Parallel, delayed, effective_n_jobs

from gtda.utils.intervals import Interval
from gtda.utils.validation import validate_params, check_diagrams
from gtda.diagrams._utils import _subdiagrams, _bin, _make_homology_dimensions_mapping, _homology_dimensions_to_sorted_ints
from sklearn.base import BaseEstimator, TransformerMixin
from sklearn.utils import gen_even_slices
from sklearn.utils.validation import check_is_fitted