hs.module_scores return nothing

[lvmt]

hi

i run hotspot like this

import scanpy as sc  
import anndata as ad  
import pandas as pd  

import hotspot

import numpy as np
import mplscience
import matplotlib 

import sys  

infile = sys.argv[1]
adata = sc.read_h5ad(infile)

adata.obs_names_make_unique()
adata.var_names_make_unique()

sc.pp.filter_genes(adata, min_cells=3)
adata.obs["total_counts"] = np.asarray(adata.X.sum(1)).ravel()
adata.layers["csc_counts"] = adata.X.tocsc()

sc.pp.normalize_total(adata)
sc.pp.log1p(adata)

# step1 Create the Hotspot object and the neighborhood graph
hs = hotspot.Hotspot(
    adata,
    layer_key="csc_counts",
    model='bernoulli',
    latent_obsm_key="spatial",
    umi_counts_obs_key="total_counts",
)

hs.create_knn_graph(
    weighted_graph=False, n_neighbors=300,
)

# step2
hs_results = hs.compute_autocorrelations()

## step3:  
hs_genes = hs_results.index[hs_results.FDR < 0.05]
lcz = hs.compute_local_correlations(hs_genes)


modules = hs.create_modules(
    min_gene_threshold=20, core_only=False, fdr_threshold=0.05
)

## step4:  
import pickle
with open('test.pkl', 'wb') as f:
    pickle.dump(hs, f)

##   read hotspot pkl  
with open('hotspot.C1.pkl', 'rb') as f:
    hss = pickle.load(f) 

hss.plot_local_correlations()   # get output   
hss.results  # get output   
hss.modules  # get output    
hss.local_correlation_z  # get output   
hss.module_scores # return nothing   

can you help me resolve the problem.
thanks.