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from itertools import permutations, product
from collections import defaultdict
import time
from pathlib import Path

import numpy as np
import pandas as pd
from sklearn.metrics import silhouette_score
from scipy.spatial.distance import pdist, squareform, cdist
import matplotlib.pyplot as plt

sea-shunned

import subprocess
import argparse
import csv
from datetime import datetime, timedelta
from pathlib import Path

import numpy as np
import matplotlib
import matplotlib.pyplot as plt

sea-shunned

import numpy as np

# Base class
class Base:
    # Dict for creating instances with common data values
    init_dict = {
        'type_1': np.eye(3),
        'type_2': np.random.random((4, 4))**0.5,
        'type_3': np.linalg.inv(np.random.random((3, 3)))
    }