style: Reformat some code

python/nutpie/__init__.py

@@ -4,4 +4,4 @@
 from nutpie.sample import sample
 
 __version__: str = _lib.__version__
-__all__ = ["__version__", "sample", "compile_pymc_model", "compile_stan_model"]
+__all__ = ["__version__", "compile_pymc_model", "compile_stan_model", "sample"]

python/nutpie/compile_pymc.py

@@ -1,11 +1,12 @@
 import dataclasses
 import itertools
 import warnings
+from collections.abc import Iterable
 from dataclasses import dataclass
 from functools import wraps
 from importlib.util import find_spec
 from math import prod
-from typing import TYPE_CHECKING, Any, Callable, Iterable, Literal, Optional, Union
+from typing import TYPE_CHECKING, Any, Callable, Literal, Optional, Union
 
 import numpy as np
 import pandas as pd
@@ -500,7 +501,10 @@ def compile_pymc_model(
         if gradient_backend == "jax":
             raise ValueError("Gradient backend cannot be jax when using numba backend")
         return _compile_pymc_model_numba(
-            model=model, pymc_initial_point_fn=initial_point_fn, var_names=var_names, **kwargs
+            model=model,
+            pymc_initial_point_fn=initial_point_fn,
+            var_names=var_names,
+            **kwargs,
         )
     elif backend.lower() == "jax":
         return _compile_pymc_model_jax(

src/pyfunc.rs

@@ -3,8 +3,8 @@ use std::sync::Arc;
 use anyhow::{anyhow, bail, Context, Result};
 use arrow::{
     array::{
-        Array, ArrayBuilder, BooleanBuilder, FixedSizeListBuilder, Float32Builder, Float64Builder,
-        Int64Builder, LargeListBuilder, ListBuilder, PrimitiveBuilder, StructBuilder,
+        Array, ArrayBuilder, BooleanBuilder, Float32Builder, Float64Builder, Int64Builder,
+        LargeListBuilder, PrimitiveBuilder, StructBuilder,
     },
     datatypes::{DataType, Field, Float32Type, Float64Type, Int64Type},
 };
@@ -16,7 +16,7 @@ use pyo3::{
     Bound, Py, PyAny, PyErr, Python,
 };
 use rand::Rng;
-use rand_distr::{Distribution, StandardNormal, Uniform};
+use rand_distr::{Distribution, Uniform};
 use smallvec::SmallVec;
 use thiserror::Error;
 

src/pymc.rs

@@ -2,9 +2,7 @@ use std::{ffi::c_void, fmt::Display, sync::Arc};
 
 use anyhow::{bail, Context, Result};
 use arrow::{
-    array::{
-        Array, FixedSizeListArray, Float64Array, LargeListArray, LargeListBuilder, StructArray,
-    },
+    array::{Array, Float64Array, LargeListArray, StructArray},
     buffer::OffsetBuffer,
     datatypes::{DataType, Field, Fields},
 };
@@ -16,7 +14,6 @@ use pyo3::{
     types::{PyAnyMethods, PyList},
     Bound, Py, PyAny, PyObject, PyResult, Python,
 };
-use rand::{distributions::Uniform, prelude::Distribution};
 
 use thiserror::Error;
 

tests/test_pymc.py

@@ -204,7 +204,10 @@ def test_pymc_var_names(backend, gradient_backend):
         pm.Deterministic("c", mu * b)
 
     compiled = nutpie.compile_pymc_model(
-        model, backend=backend, gradient_backend=gradient_backend, var_names=None,
+        model,
+        backend=backend,
+        gradient_backend=gradient_backend,
+        var_names=None,
     )
     trace = nutpie.sample(compiled, chains=1, seed=1)
 
@@ -213,7 +216,10 @@ def test_pymc_var_names(backend, gradient_backend):
     assert hasattr(trace.posterior, "c")
 
     compiled = nutpie.compile_pymc_model(
-        model, backend=backend, gradient_backend=gradient_backend, var_names=[],
+        model,
+        backend=backend,
+        gradient_backend=gradient_backend,
+        var_names=[],
     )
     trace = nutpie.sample(compiled, chains=1, seed=1)
 
@@ -222,7 +228,10 @@ def test_pymc_var_names(backend, gradient_backend):
     assert not hasattr(trace.posterior, "c")
 
     compiled = nutpie.compile_pymc_model(
-        model, backend=backend, gradient_backend=gradient_backend, var_names=["b"],
+        model,
+        backend=backend,
+        gradient_backend=gradient_backend,
+        var_names=["b"],
     )
     trace = nutpie.sample(compiled, chains=1, seed=1)