Fix RUF007 (itertools.pairwise)

Author: Armavica

pymc/distributions/mixture.py

@@ -11,6 +11,7 @@
 #   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 #   See the License for the specific language governing permissions and
 #   limitations under the License.
+import itertools
 import warnings
 
 import numpy as np
@@ -480,7 +481,7 @@ def transform_warning():
                 transform.backward(value, *component.owner.inputs)
                 for transform, component in zip(default_transforms, components)
             ]
-            for expr1, expr2 in zip(backward_expressions[:-1], backward_expressions[1:]):
+            for expr1, expr2 in itertools.pairwise(backward_expressions):
                 if not equal_computations([expr1], [expr2]):
                     transform_warning()
                     return None

tests/distributions/test_discrete.py

@@ -13,6 +13,7 @@
 #   limitations under the License.
 
 import functools as ft
+import itertools
 import sys
 import warnings
 
@@ -76,7 +77,7 @@ def invlogit(x, eps=sys.float_info.epsilon):
 
 def orderedlogistic_logpdf(value, eta, cutpoints):
     c = np.concatenate(([-np.inf], cutpoints, [np.inf]))
-    ps = np.array([invlogit(eta - cc) - invlogit(eta - cc1) for cc, cc1 in zip(c[:-1], c[1:])])
+    ps = np.array([invlogit(eta - cc) - invlogit(eta - cc1) for cc, cc1 in itertools.pairwise(c)])
     p = ps[value]
     return np.where(np.all(ps >= 0), np.log(p), -np.inf)
 
@@ -87,7 +88,7 @@ def invprobit(x):
 
 def orderedprobit_logpdf(value, eta, cutpoints):
     c = np.concatenate(([-np.inf], cutpoints, [np.inf]))
-    ps = np.array([invprobit(eta - cc) - invprobit(eta - cc1) for cc, cc1 in zip(c[:-1], c[1:])])
+    ps = np.array([invprobit(eta - cc) - invprobit(eta - cc1) for cc, cc1 in itertools.pairwise(c)])
     p = ps[value]
     return np.where(np.all(ps >= 0), np.log(p), -np.inf)