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from __future__ import absolute_import, print_function, division
import cPickle as pickle
import redis
Redis = redis.Redis()
from wqflask.my_pylmm.pyLMM import lmm
lmm_vars_pickled = Redis.get("lmm_vars")
plink_pickled = Redis.lpop("plink_inputs")
plink_data = pickle.loads(plink_pickled)
identifier = plink_data['identifier']
print("identifier: ", identifier)
ps, ts = lmm.human_association(snp,
n,
keep,
lmm_ob,
pheno_vector,
covariate_matrix,
kinship_matrix,
refit)
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