ryanpeach

from time import time, sleep
from functools import wraps
import socket
import unittest

class TimeoutError(socket.timeout):
    pass

none_val = lambda x: 0.0 if x is None else float(x)                         # Returns float(x), or 0 if x is None

ryanpeach

# Ryan Peach 3/1/2016
# References Used for this Implementation
# https://en.wikipedia.org/wiki/Hungarian_algorithm
# https://github.com/bmc/munkres/blob/master/munkres.py
# http://csclab.murraystate.edu/bob.pilgrim/445/munkres.html
# ---
# No copying and pasting of online code was performed, though some code may turn out to be similar due to the standardized nature of this algorithm.
# This is a very different implementation due to the fact that it heavily uses numpy, vastly simplifies many poorly pythonized coding elements
# removes the "class" approach for a function based one. Etc.
# Improvements that need to be made is to require the matrix class, and to vectorize iterations through the matrix.

ryanpeach

import numpy as np
import cv2
import random
import scipy.stats

# Matplotlib
import matplotlib as mpl
mpl.use('Agg')
import matplotlib.pyplot as plt

ryanpeach

""" Python 3 implementation of Deep Learning book early stop algorithm.
    @book{Goodfellow-et-al-2016,
        title={Deep Learning},
        author={Ian Goodfellow and Yoshua Bengio and Aaron Courville},
        publisher={MIT Press},
        note={\url{http://www.deeplearningbook.org}},
        year={2016}
    }
"""

ryanpeach

import random as rand
from functools import partial

def twiddle(run, args, p, dp, tol = 0.2, N = 100, logger = None):
    """ Uses gradient descent to find the optimal value of p as input for function run.
        run is a function which takes p as an argument and returns an error (with 0 being optimal) as an output.
        dp is the initial magnitute for each index of p to begin
        N is the max number of iterations, after which the best value of p is returned.
        tol is the max error allowed, under which this function will terminate. """
    best_err, best_p, best_dp, n = 1000000, None, None, 0

ryanpeach

ryanpeach

[tool.ruff.lint]
select = ["ALL"]
ignore = [
  "D203",    # Should ignore one of D203 or D211 bc they are conflicting
  "D213",    # Should ignore one of D212 or D213 bc they are conflicting
  "COM812",  # Don't require trailing commas
  "D205",    # Don't require 1 blank line between summary and description
  "TD002",   # Don't require author for TODOs
  "TD003",   # Don't require issues for TODOs
  "S101",    # Allow asserts

ryanpeach

exclude: "docs|.git"
default_stages: [commit]
fail_fast: false

repos:
  - repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v4.4.0
    hooks:
      - id: trailing-whitespace
      - id: end-of-file-fixer

ryanpeach

[profile.dev]
opt-level = 0
debug = true

[profile.release]
opt-level = 3
debug = false

[dependencies]
# Errors

ryanpeach

// Anycubic Photon Mono X2 funnel
// build_x, build_y, build_z from manufacturer specs
build_x        = 122;      // mm, max X (left–right)
build_y        = 196;      // mm, max Y (front–back)
build_z        = 200;      // mm, max Z (vertical)
tolerance      = 2;        // Avoid the edges of the max build spec

// funnel parameters
wall_thickness = 6;        // mm, wall thickness
base_dia       = 25.4;     // mm, spout diameter ≈1 in