remove mutable=True. closes #7367

Author: williambdean

pymc/model/core.py

@@ -1171,9 +1171,8 @@ def set_data(
                     raise ShapeError(
                         f"Resizing dimension '{dname}' is impossible, because "
                         "a `TensorConstant` stores its length. To be able "
-                        "to change the dimension length, pass `mutable=True` when "
-                        "registering the dimension via `model.add_coord`, "
-                        "or define it via a `pm.MutableData` variable."
+                        "to change the dimension length, create data with "
+                        "pm.Data() instead."
                     )
                 elif length_tensor.owner is not None:
                     # The dimension was created from another variable:

tests/model/test_core.py

@@ -928,7 +928,7 @@ def test_set_data_indirect_resize_without_coords(self):
 
     def test_set_data_indirect_resize_with_coords(self):
         with pm.Model() as pmodel:
-            pmodel.add_coord("mdim", ["A", "B"], mutable=True, length=2)
+            pmodel.add_coord("mdim", ["A", "B"], length=2)
             pm.Data("mdata", [1, 2], dims="mdim")
 
         assert pmodel.coords["mdim"] == ("A", "B")

tests/sampling/test_forward.py

@@ -342,8 +342,8 @@ def test_mutable_coords_volatile(self):
         rng = np.random.default_rng(seed=42)
         data = rng.normal(loc=1, scale=0.2, size=(10, 3))
         with pm.Model() as model:
-            model.add_coord("name", ["A", "B", "C"], mutable=True)
-            model.add_coord("obs", list(range(10, 20)), mutable=True)
+            model.add_coord("name", ["A", "B", "C"])
+            model.add_coord("obs", list(range(10, 20)))
             offsets = pm.Data("offsets", rng.normal(0, 1, size=(10,)))
             a = pm.Normal("a", mu=0, sigma=1, dims=["name"])
             b = pm.Normal("b", mu=offsets, sigma=1)
@@ -873,8 +873,8 @@ def make_mock_model():
         rng = np.random.default_rng(seed=42)
         data = rng.normal(loc=1, scale=0.2, size=(10, 3))
         with pm.Model() as model:
-            model.add_coord("name", ["A", "B", "C"], mutable=True)
-            model.add_coord("obs", list(range(10, 20)), mutable=True)
+            model.add_coord("name", ["A", "B", "C"])
+            model.add_coord("obs", list(range(10, 20)))
             offsets = pm.Data("offsets", rng.normal(0, 1, size=(10,)))
             a = pm.Normal("a", mu=0, sigma=1, dims=["name"])
             b = pm.Normal("b", mu=offsets, sigma=1)