⬆️ UPGRADE: Autoupdate pre-commit config

Author: twiecki

.pre-commit-config.yaml

@@ -1,7 +1,7 @@
 exclude: ^(docs/logos|pymc3/tests/data)/
 repos:
 - repo: https://github.com/pre-commit/pre-commit-hooks
-  rev: v3.4.0
+  rev: v4.0.1
   hooks:
     -   id: check-merge-conflict
     -   id: check-toml
@@ -19,16 +19,16 @@ repos:
     - id: isort
       name: isort
 - repo: https://github.com/asottile/pyupgrade
-  rev: v2.11.0
+  rev: v2.19.4
   hooks:
     - id: pyupgrade
       args: [--py37-plus]
 - repo: https://github.com/psf/black
-  rev: 20.8b1
+  rev: 21.6b0
   hooks:
     - id: black
 - repo: https://github.com/PyCQA/pylint
-  rev: pylint-2.7.4
+  rev: v2.8.3
   hooks:
     - id: pylint
       args: [--rcfile=.pylintrc]

docs/source/sphinxext/gallery_generator.py

@@ -187,7 +187,7 @@ def build_gallery(srcdir, gallery):
     with open(table_of_contents_file) as toc:
         table_of_contents = toc.read()
 
-    js_contents = "Gallery.examples = {}\n{}".format(json.dumps(data), table_of_contents)
+    js_contents = f"Gallery.examples = {json.dumps(data)}\n{table_of_contents}"
 
     with open(js_file, "w") as js:
         js.write(js_contents)

pymc3/aesaraf.py

@@ -543,7 +543,7 @@ def grad(self, inp, grads):
         return grads
 
     def c_code(self, node, name, inp, out, sub):
-        return "{z} = {x};".format(x=inp[0], z=out[0])
+        return f"{out[0]} = {inp[0]};"
 
     def __eq__(self, other):
         return isinstance(self, type(other))

pymc3/backends/base.py

@@ -365,7 +365,7 @@ def __getattr__(self, name):
             return self.get_values(name)
         if name in self.stat_names:
             return self.get_sampler_stats(name)
-        raise AttributeError("'{}' object has no attribute '{}'".format(type(self).__name__, name))
+        raise AttributeError(f"'{type(self).__name__}' object has no attribute '{name}'")
 
     def __len__(self):
         chain = self.chains[-1]

pymc3/distributions/bart.py

@@ -164,7 +164,7 @@ def get_residuals_loo(self, tree):
         return R_j
 
     def draw_leaf_value(self, idx_data_points):
-        """ Draw the residual mean."""
+        """Draw the residual mean."""
         R_j = self.get_residuals()[idx_data_points]
         draw = self.mean(R_j)
         return draw

pymc3/distributions/mixture.py

@@ -187,7 +187,7 @@ def comp_dists(self, comp_dists):
             # All component distributions must broadcast with each other
             try:
                 self._broadcast_shape = np.broadcast(
-                    *[np.empty(shape) for shape in self._comp_dist_shapes]
+                    *(np.empty(shape) for shape in self._comp_dist_shapes)
                 ).shape
             except Exception:
                 raise TypeError(

pymc3/distributions/shape_utils.py

@@ -426,7 +426,7 @@ def broadcast_dist_samples_to(to_shape, samples, size=None):
 
 
 def convert_dims(dims: Dims) -> Optional[WeakDims]:
-    """ Process a user-provided dims variable into None or a valid dims tuple. """
+    """Process a user-provided dims variable into None or a valid dims tuple."""
     if dims is None:
         return None
 
@@ -444,7 +444,7 @@ def convert_dims(dims: Dims) -> Optional[WeakDims]:
 
 
 def convert_shape(shape: Shape) -> Optional[WeakShape]:
-    """ Process a user-provided shape variable into None or a valid shape object. """
+    """Process a user-provided shape variable into None or a valid shape object."""
     if shape is None:
         return None
 
@@ -466,7 +466,7 @@ def convert_shape(shape: Shape) -> Optional[WeakShape]:
 
 
 def convert_size(size: Size) -> Optional[StrongSize]:
-    """ Process a user-provided size variable into None or a valid size object. """
+    """Process a user-provided size variable into None or a valid size object."""
     if size is None:
         return None
 

pymc3/distributions/timeseries.py

@@ -158,15 +158,15 @@ def logp(self, value):
         """
         if self.constant:
             x = at.add(
-                *[self.rho[i + 1] * value[self.p - (i + 1) : -(i + 1)] for i in range(self.p)]
+                *(self.rho[i + 1] * value[self.p - (i + 1) : -(i + 1)] for i in range(self.p))
             )
             eps = value[self.p :] - self.rho[0] - x
         else:
             if self.p == 1:
                 x = self.rho * value[:-1]
             else:
                 x = at.add(
-                    *[self.rho[i] * value[self.p - (i + 1) : -(i + 1)] for i in range(self.p)]
+                    *(self.rho[i] * value[self.p - (i + 1) : -(i + 1)] for i in range(self.p))
                 )
             eps = value[self.p :] - x
 

pymc3/exceptions.py

@@ -43,7 +43,7 @@ class ImputationWarning(UserWarning):
 
 
 class ShapeWarning(UserWarning):
-    """ Something that could lead to shape problems down the line. """
+    """Something that could lead to shape problems down the line."""
 
     pass
 

pymc3/gp/cov.py

@@ -158,7 +158,7 @@ def __array_wrap__(self, result):
 class Combination(Covariance):
     def __init__(self, factor_list):
         input_dim = max(
-            [factor.input_dim for factor in factor_list if isinstance(factor, Covariance)]
+            factor.input_dim for factor in factor_list if isinstance(factor, Covariance)
         )
         super().__init__(input_dim=input_dim)
         self.factor_list = []