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Prior predictions constant data #5723

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1 change: 0 additions & 1 deletion pymc/backends/arviz.py
Original file line number Diff line number Diff line change
Expand Up @@ -464,7 +464,6 @@ def observed_data_to_xarray(self):
default_dims=[],
)

@requires(["trace", "predictions"])
@requires("model")
def constant_data_to_xarray(self):
"""Convert constant data to xarray."""
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3 changes: 2 additions & 1 deletion pymc/tests/test_idata_conversion.py
Original file line number Diff line number Diff line change
Expand Up @@ -502,7 +502,7 @@ def test_no_trace(self):

@pytest.mark.parametrize("use_context", [True, False])
def test_priors_separation(self, use_context):
"""Test model is enough to get prior, prior predictive and observed_data."""
"""Test model is enough to get prior, prior predictive, constant_data and observed_data."""
with pm.Model() as model:
x = pm.MutableData("x", [1.0, 2.0, 3.0])
y = pm.ConstantData("y", [1.0, 2.0, 3.0])
Expand All @@ -514,6 +514,7 @@ def test_priors_separation(self, use_context):
"prior": ["beta", "~obs"],
"observed_data": ["obs"],
"prior_predictive": ["obs"],
"constant_data": ["x", "y"],
}
if use_context:
with model:
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