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Both of these loops report that the iteration variable is being reassigned, which is it clearly not.
Both are a bit complex, but it is each to see that smoother
has attribted accessed but not assigned to.
for smoother in smoother.smoothers:
train_basis = smoother.basis[train_index]
train_der_basis = smoother.der_basis[train_index]
train_der2_basis = smoother.der2_basis[train_index]
train_cov_der2 = smoother.cov_der2
# TODO: Double check this part. cov_der2 is calculated with all data
train_x = smoother.x[train_index]
train_smoothers.append(
UnivariateGenericSmoother(
train_x, train_basis, train_der_basis, train_der2_basis,
train_cov_der2, smoother.variable_name + ' train'))
test_basis = smoother.basis[test_index]
test_der_basis = smoother.der_basis[test_index]
test_cov_der2 = smoother.cov_der2
# TODO: Double check this part. cov_der2 is calculated with all data
test_x = smoother.x[test_index]
test_smoothers.append(
UnivariateGenericSmoother(
test_x, test_basis, test_der_basis, train_der2_basis,
test_cov_der2, smoother.variable_name + ' test'))
Here ax
and series
have attribute access but no assignment.
for i, (ax, (series, def_name)) in enumerate(zip(axs, series)):
if def_name != "residual":
ax.plot(series)
else:
ax.plot(series, marker="o", linestyle="none")
ax.plot(xlim, (0, 0), color="#000000", zorder=-3)
name = getattr(series, "name", def_name)
if def_name != "Observed":
name = name.capitalize()
title = ax.set_title if i == 0 and observed else ax.set_ylabel
title(name)
ax.set_xlim(xlim)