fix isort

pennylane/devices/default_qubit_torch.py

@@ -17,8 +17,8 @@
 import inspect
 import logging
 import warnings
-import numpy as np
 
+import numpy as np
 from packaging.version import Version
 
 try:

pennylane/devices/reference_qubit.py

@@ -18,18 +18,13 @@
 
 import numpy as np
 
-from pennylane.typing import Result
-
 import pennylane as qml
+from pennylane.typing import Result
 
 from .device_api import Device
 from .execution_config import DefaultExecutionConfig
-from .preprocess import (
-    decompose,
-    validate_measurements,
-    validate_device_wires,
-)
-from .modifiers import single_tape_support, simulator_tracking
+from .modifiers import simulator_tracking, single_tape_support
+from .preprocess import decompose, validate_device_wires, validate_measurements
 
 
 def sample_state(state: np.ndarray, shots: int, seed=None):

pennylane/gradients/vjp.py

@@ -16,9 +16,10 @@
 of tapes.
 """
 
+import autograd
+
 # pylint: disable=no-member, too-many-branches
 import numpy as np
-import autograd
 
 import pennylane as qml
 

pennylane/numpy/random.py

@@ -16,9 +16,9 @@
 it works with the PennyLane :class:`~.tensor` class.
 """
 
+from autograd.numpy import random as _random
 from numpy import __version__ as np_version
 from numpy.random import MT19937, PCG64, SFC64, Philox  # pylint: disable=unused-import
-from autograd.numpy import random as _random
 from packaging.specifiers import SpecifierSet
 from packaging.version import Version
 

pennylane/qaoa/cycle.py

@@ -19,8 +19,8 @@
 from collections.abc import Iterable
 from typing import Union
 
-import numpy as np
 import networkx as nx
+import numpy as np
 import rustworkx as rx
 
 import pennylane as qml