style: Fix ruff issues

python/nutpie/compile_pymc.py

@@ -380,7 +380,7 @@ def _compile_pymc_model_jax(
         def logp_fn_jax_grad(x, *shared):
             return jax.value_and_grad(lambda x: orig_logp_fn(x, *shared)[0])(x)
 
-        static_argnums = list(range(1, len(logp_shared_names) + 1))
+        # static_argnums = list(range(1, len(logp_shared_names) + 1))
         logp_fn_jax_grad = jax.jit(
             logp_fn_jax_grad,
             # static_argnums=static_argnums,

python/nutpie/compile_stan.py

@@ -1,10 +1,10 @@
-from functools import partial
 import json
 import tempfile
 from dataclasses import dataclass, replace
+from functools import partial
 from importlib.util import find_spec
 from pathlib import Path
-from typing import Any, Optional, Callable
+from typing import Any, Optional
 
 import numpy as np
 import pandas as pd

python/nutpie/transform_adapter.py

@@ -12,18 +12,18 @@ def make_transform_adapter(
     untransformed_dim=None,
     zero_init=True,
 ):
-    import jax
+    import traceback
+    from functools import partial
+
     import equinox as eqx
-    import jax.numpy as jnp
     import flowjax
-    import flowjax.train
     import flowjax.flows
+    import flowjax.train
+    import jax
+    import jax.numpy as jnp
+    import numpy as np
     import optax
-    import traceback
     from paramax import Parameterize, unwrap
-    from functools import partial
-
-    import numpy as np
 
     class FisherLoss:
         @eqx.filter_jit
@@ -363,7 +363,7 @@ def update(self, seed, positions, gradients):
                 else:
                     base = self._bijection
 
-                # make_flow might still only return a single trafo if the for 1d problems
+                # make_flow might still only return a single trafo for 1d problems
                 if len(base.bijections) == 1:
                     self._bijection = base
                     return
@@ -436,6 +436,7 @@ def update(self, seed, positions, gradients):
             except Exception as e:
                 print("update error:", e)
                 print(traceback.format_exc())
+                raise
 
         def init_from_transformed_position(self, transformed_position):
             try: