sheridp

import numpy as np
import matplotlib.pyplot as plt

from sklearn.datasets import fetch_mldata
from sklearn.decomposition import FastICA, PCA
from sklearn.cluster import KMeans

# fetch natural image patches
image_patches = fetch_mldata("natural scenes data")
X = image_patches.data

sheridp

env = Environment()

class ConditionalGet(simpy.resources.base.Get):
    def __init__(self, resource, condition=lambda: True):
        self.condition = condition
        super().__init__(resource)

class aStore(simpy.resources.store.Store):
    get = simpy.core.BoundClass(ConditionalGet)