pgtwitter

pgtwitter

pgtwitter

# %%
import stanza
import graphviz as gv

# %%
# https://qiita.com/ytaki0801/items/b8d7d4c778fe98966ce5


def p_lex(p):
    for s in '()[]{}",':

pgtwitter

pgtwitter

# %%
import bpy
import networkx as nx  # /path/to/blender's/python -m pip install scipy networkx
import numpy as np
from scipy.spatial import ConvexHull


def obj2GraphAndXyzAndNormFiedler(obj):
    edges = [(e.vertices[0], e.vertices[1]) for e in obj.data.edges]
    G = nx.Graph(edges)

pgtwitter

# %%
import bpy
from sklearn.cluster import KMeans  # /path/to/blender's/python -m pip install scikit-learn
import networkx as nx  # /path/to/blender's/python -m pip install scipy networkx
obj = bpy.data.objects['Armadillo']
mesh = obj.data
edges = [(e.vertices[0], e.vertices[1]) for e in mesh.edges]
G = nx.Graph(edges)
S = [G.subgraph(c).copy() for c in nx.connected_components(G)]
G = S[0]

pgtwitter

# %%
import bpy
import networkx as nx  # /path/to/blender's/python -m pip install scipy networkx
obj = bpy.data.objects['Armadillo']
mesh = obj.data
edges = [(e.vertices[0], e.vertices[1]) for e in mesh.edges]
G = nx.Graph(edges)
S = [G.subgraph(c).copy() for c in nx.connected_components(G)]
fiedler_vector = nx.fiedler_vector(S[0])
minV = min(fiedler_vector)

pgtwitter

# %%
import open3d as o3d
import numpy as np
import networkx as nx
import matplotlib.pyplot as plt
import matplotlib.animation as animation
# %%
mesh = o3d.io.read_triangle_mesh("bun_zipper.ply")
coordinates = mesh.vertices
edges = []

pgtwitter

# %%
import tempfile
import scipy.interpolate as scipl
import networkx as nx
import graphviz
import numpy as np
import matplotlib.pyplot as plt

es0 = [
    [1, 4],

pgtwitter

import java.util.List;
import java.util.stream.Collectors;
import java.util.Arrays;
import java.util.Collections;

class a {
    public static void main(String[] args) {
        Integer[] array= new Integer[] {1, 2, 3, 4, 5};
        List<Integer> list= Arrays.asList(array);
        System.err.println("sum:"+list.stream().mapToInt(Integer::intValue).sum());