`ValueError: The truth value of an array` ... when using `fixed_params` kwarg for `pyhf.infer.hypotest` about pyhf HOT 4 CLOSED

import pyhf

pyhf.set_backend("numpy")

model = pyhf.simplemodels.uncorrelated_background(
    signal=[12.0, 11.0], bkg=[50.0, 52.0], bkg_uncertainty=[3.0, 7.0]
)
observations = [51, 48]
data = pyhf.tensorlib.astensor(observations + model.config.auxdata)
mu_test = 1.0

fixed_params = model.config.suggested_fixed()
fixed_params[1:] = True, True  # The POI can't be fixed and still perform inference
print(f"Fixed parameters: {fixed_params}")

cls_obs, cls_exp_band = pyhf.infer.hypotest(
    mu_test,
    data,
    model,
    fixed_params=fixed_params,
    return_expected_set=True,
    test_stat="qtilde",
)

print(f"Observed CLs: {cls_obs}")
print(f"Expected CLs band: {cls_exp_band}")

# tuple is valid too
fixed_params = tuple(fixed_params)
pyhf.infer.hypotest(
    mu_test,
    data,
    model,
    fixed_params=fixed_params,
    return_expected_set=True,
    test_stat="qtilde",
)