help="number of chains used")
parser.add_argument("--cnf", action= "store_true",
help="conjunctive normal for, enter structure as a-or-b c-or-d ...")
ns = parser.parse_args()
dataset=ns.dataset
date_str=ns.d
num_chains = ns.num_chains
cnf = ns.cnf
list_cov =[]
for file in os.listdir("results/"+date_str):
if dataset in file:
df = pd.read_pickle("results/"+date_str+"/"+file)
list_cov.append(simplify(df["Covariance Structure"].iloc[-1]))
count = 0
if cnf:
structure=ns.structure
disjunctions=[]
for item in structure:
disjunctions.append(item.split('-or-'))
disjunctions=[[simplify(atom) for atom in disjunction] for disjunction in disjunctions]
for cov_structure in list_cov:
hyp_true_in_structure=True
for disjunction in disjunctions:
if not find_disjunction(disjunction,cov_structure):
hyp_true_in_structure=False