ES-Alexander

''' Written in response to u/thisisjusttofindajob's Reddit post 

https://www.reddit.com/r/learnpython/comments/xnq9bv/how_to_render_objects_randomly_in_time/

about random timings with an average frequency.
'''

from time import perf_counter
import random

ES-Alexander

# relevant types
from collections.abc import Sequence
from numbers import Real
import pathlib
# functionality
from itertools import chain, pairwise
import plotly.graph_objects as go
import numpy as np

ES-Alexander

from fullcontrol.visualize.tube_mesh import FlowTubeMesh, go, np

# Display parameters
COLOURS = '#666' # 'black' / '#C0FFEE' / None
SHOW = True # if False, saves animation frames instead

# Geometry parameters
np.random.seed(sum(b'gcode'))
SEGMENTS_PER_CURVE = 31
BASE_THICKNESS = 0.6 # 0.2

ES-Alexander

import numpy as np

try:
    # If available, import numba to enable compiling the functions for extra speed
    from numba import njit, boolean

except ImportError:
    print("Numba compilation not available - falling back to pure Python.")

    def njit(func, *args, **kwargs):