<｜begin▁of▁sentence｜>### Instruction:
A researcher wants to simulate a simple network to study the properties of random graphs. The researcher decides to use the Erdos Renyi model to create a binary graph with 4 nodes where the probability of any given edge existing is 0.25. How can the researcher use the `er_np` function from graspologic to sample such a graph and display the resulting adjacency matrix?
### Response:
import numpy as np
from graspologic.simulations import er_np

# Set random seed for reproducibility
np.random.seed(1)

# Parameters for the Erdos Renyi graph
n = 4  # Number of vertices
p = 0.25  # Probability of edge existence

# Sample a binary Erdos Renyi (n, p) graph
adjacency_matrix = er_np(n, p)
print('Sampled binary adjacency matrix:\n', adjacency_matrix)
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