thomasahle

from manim import *
import numpy as np

class DualRingHeatTransferAnimation(Scene):
    def construct(self):
        # Configuration
        num_blocks = 20
        block_size = 0.4
        outer_radius = 3.3
        inner_radius = 2.9

thomasahle

from manim import *
import numpy as np


class HeatTransferAnimation(Scene):
    def construct(self):
        # Configuration
        num_blocks = 10
        block_size = 1
        spacing = 0.1

thomasahle

import geopandas as gpd
import matplotlib.pyplot as plt
import pandas as pd
import matplotlib.colors as mcolors
from shapely.geometry import Polygon, MultiPolygon
import shapely.ops
import os.path


def get_text_color(fill_color):

thomasahle

import instructor
from pydantic import BaseModel, Field
from typing import overload, Union, Literal, Generator
from tqdm.asyncio import tqdm
import asyncio
import numpy as np
import json
import os, sys
import diskcache, inspect, functools
import random

thomasahle

import instructor
from pydantic import BaseModel, Field
from typing import overload, Union, Literal, Generator
from tqdm.asyncio import tqdm
import asyncio
import numpy as np
import json
import os, sys
import diskcache, inspect, functools
import random

thomasahle

import torch
import math
from torch import nn
import torch.nn.functional as F
import matplotlib.pyplot as plt
import matplotlib.cm as cm
import matplotlib.colors as mcolors
import numpy as np
import seaborn as sns

thomasahle

from collections import Counter
from manim import *
import networkx as nx
import random
import numpy as np
import itertools


class UF:
    def __init__(self, ids):

thomasahle

from collections import Counter
from manim import *
import networkx as nx
import random
import numpy as np
import itertools


class UF:
    def __init__(self, ids):

thomasahle

from collections import Counter
from manim import *
import networkx as nx
import random
import numpy as np
import itertools


class UF:
    def __init__(self, ids):

thomasahle

import networkx as nx
import matplotlib.pyplot as plt
import random
import matplotlib.animation as animation
import numpy as np

# Step 1: Create the graph
G = nx.MultiGraph()
edges = [
    (1, 2), (1, 3), (1, 4), (1, 5), (2, 3), (2, 4), (2, 5), (2, 6), (3, 4), (3, 5), (3, 6),