golden hour

/opt/cloudlinux/venv/lib/python3.11/site-packages/lvestats/lib/chart

File/Folder	Size	Actions
__init__.py	19.8 KB
__pycache__	-
dbgovchartmain.py	4.36 KB
lvechartmain.py	15.41 KB
polysimplify.py	7.38 KB
rdp.py	1.4 KB
svg2png.py	3.14 KB
svggraph.py	20.73 KB
util.py	484 B

Edit: rdp.py

#!/usr/bin/env python
# -*- coding: utf-8 -*-

# Copyright © Cloud Linux GmbH & Cloud Linux Software, Inc 2010-2019 All Rights Reserved
#
# Licensed under CLOUD LINUX LICENSE AGREEMENT
# http://cloudlinux.com/docs/LICENSE.TXT

# Implementation of Ramer-Douglas-Peucker algorithm

__all__ = ['ramerdouglas']

def ramerdouglas(line, dist):
    """Does Ramer-Douglas-Peucker simplification of a curve with `dist`
    threshold.

`line` is a list-of-tuples, where each tuple is a 2D coordinate

Usage is like so:

>>> myline = [(0.0, 0.0), (1.0, 2.0), (2.0, 1.0)]
    >>> simplified = ramerdouglas(myline, dist = 1.0)
    """

if len(line) < 3:
        return line

(begin, end) = (line[0], line[-1]) if line[0] != line[-1] else (line[0], line[-2])

begin_end_x = end[0] - begin[0]
    begin_end_y = end[1] - begin[1]

dist_sq = []
    dist_append = dist_sq.append
    for curr in line[1:-1]:
        begin_curr_x = curr[0] - begin[0]
        begin_curr_y = curr[1] - begin[1]
        dist_append((begin_curr_y * begin_end_x - begin_curr_x * begin_end_y)**2 /
                    (begin_end_x**2 + begin_end_y**2))

maxdist = max(dist_sq)
    if maxdist < dist ** 2:
        return [begin, end]

if len(dist_sq) > 500:
        pos = len(dist_sq) // 2
    else:
        pos = dist_sq.index(maxdist)

return (ramerdouglas(line[:pos + 2], dist) +
            ramerdouglas(line[pos + 1:], dist)[1:])