kwinkunks

import numpy as np

def weights(z, x, m=0):
    """
    Fornberg finite difference weights.
    F90: https://github.com/bjodah/finitediff/blob/master/src/finitediff_fort.f90

    Made this for Advent of Code 2023, Day 9.

    Arguments:

kwinkunks

kwinkunks

kwinkunks

💡 Looking to correlate two 1D arrays (signals, time series, depth series, whatever)? You have lots of options...

Recommended

• dtaidistance
• fastdtw
• tslearn
• dtw-python

Not tried

kwinkunks

kwinkunks

def has_illegal_chars(string: str, illegal: str = ',;"!+=') -> bool:
    """
    Detect the presence of illegal characters in a string.
    By default, illegal characters are: `,;"!+=`
    
    Args:
        string: A string of text of any length.
        illegal: A sequence of characters that are not allowed.
        
    Returns:

kwinkunks

kwinkunks

"""
Given a 4D array of shape (n, h, w, c) representing n images of shape (h, w, c),
make a single image consisting of a regular grid of smaller images.

License: MIT No attribution
"""
import numpy as np

def reshape(arr, rows, cols, pixels=False):
    """Reshapes a 4D array into a grid of images.

kwinkunks

kwinkunks

# Properties of the scaled standard deviational hyperellipsoid.
#
# Author: Matt Hall, kwinkunks@gmail.com
# Copyright: 2022, Matt Hall
# Licence: Apache 2.0, https://www.apache.org/licenses/LICENSE-2.0
#
# These small functions implement n-dimensional lookup of the beta-distribution
# approximation to this problem. They answer the questions, "What proportion
# of a multivariate Gaussian distribution is contained by `r` standard
# deviations?" and "How many standard deviations contain a proportion `p` of