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for j in x:
if j == 1:
index_for_multi_array = 0
else:
index_for_multi_array = 1
q = con[j-1] # index 0 and 7
q = q * 1e-6
m = mass[j-1]
for i in range(1,int(bands[j-1])+1):
#read parameters
vc = float(_1_wnum[index_for_multi_array][i-1])
S0 = float(_1_int[index_for_multi_array][i-1] )
gamma_air = float(_1_abroad[index_for_multi_array][i-1])
gamma_self = float(_1_sbroad[index_for_multi_array][i-1])
n = float(_1_abcoef[index_for_multi_array][i-1] )
#resonance shape
alpha_1 = float( (1.0- q) * gamma_air + q * gamma_self ) * (P/P0) * ((T/T0) ** n)
fv = (alpha_1 / math.pi) * np.power((np.true_divide(v,vc)),2) * np.add((np.true_divide(1, np.power(v-vc,2) + alpha_1**2)) , np.true_divide(1,np.power((v+vc),2)+alpha_1**2))
gv = np.true_divide(v,vc) * pre_calculation / np.tanh(h*c*vc / (2*k*T)) * fv
S = S0 #line intensity
sigmav = gv * S0
qq = q * P/R/T*NA
kv = P/P0*T0/T*qq*sigmav
kvt[index_for_multi_array,:] = kvt[index_for_multi_array,:] + kv