RUFF: forgot to run format after doc updates

conftest.py

@@ -12,12 +12,12 @@
 
 
 @pytest.fixture(autouse=True)
-def add_packages(doctest_namespace): #noqa: D103
+def add_packages(doctest_namespace):  # noqa: D103
     doctest_namespace["np"] = numpy
     doctest_namespace["ttb"] = pyttb
 
 
-def pytest_addoption(parser): #noqa: D103
+def pytest_addoption(parser):  # noqa: D103
     parser.addoption(
         "--packaging",
         action="store_true",
@@ -27,6 +27,6 @@ def pytest_addoption(parser): #noqa: D103
     )
 
 
-def pytest_configure(config): #noqa: D103
+def pytest_configure(config):  # noqa: D103
     if not config.option.packaging:
         config.option.markexpr = "not packaging"

pyttb/cp_apr.py

@@ -1699,6 +1699,7 @@ def calc_grad(
     grad_row = (np.ones(phi_row.shape) - phi_row).transpose()
     return grad_row, phi_row
 
+
 # TODO verify what pi is
 # Mu helper functions
 def calculate_pi(

pyttb/gcp/optimizers.py

@@ -244,7 +244,7 @@ def solve(  # noqa: PLR0913
 class SGD(StochasticSolver):
     """General Stochastic Gradient Descent."""
 
-    def update_step( #noqa: D102
+    def update_step(  # noqa: D102
         self, model: ttb.ktensor, gradient: List[np.ndarray], lower_bound: float
     ) -> Tuple[List[np.ndarray], float]:
         step = self._decay**self._nfails * self._rate
@@ -254,7 +254,7 @@ def update_step( #noqa: D102
         ]
         return factor_matrices, step
 
-    def set_failed_epoch(self): #noqa: D102
+    def set_failed_epoch(self):  # noqa: D102
         # No additional internal state for SGD
         pass
 
@@ -318,14 +318,14 @@ def __init__(  # noqa: PLR0913
         self._v: List[np.ndarray] = []
         self._v_prev: List[np.ndarray] = []
 
-    def set_failed_epoch( #noqa: D102
+    def set_failed_epoch(  # noqa: D102
         self,
     ):
         self._total_iterations -= self._epoch_iters
         self._m = self._m_prev.copy()
         self._v = self._v_prev.copy()
 
-    def update_step( #noqa: D102
+    def update_step(  # noqa: D102
         self, model: ttb.ktensor, gradient: List[np.ndarray], lower_bound: float
     ) -> Tuple[List[np.ndarray], float]:
         if self._total_iterations == 0:
@@ -387,12 +387,12 @@ def __init__(  # noqa: PLR0913
         )
         self._gnormsum = 0.0
 
-    def set_failed_epoch( #noqa: D102
+    def set_failed_epoch(  # noqa: D102
         self,
     ):
         self._gnormsum = 0.0
 
-    def update_step( #noqa: D102
+    def update_step(  # noqa: D102
         self, model: ttb.ktensor, gradient: List[np.ndarray], lower_bound: float
     ) -> Tuple[List[np.ndarray], float]:
         self._gnormsum += np.sum([np.sum(gk**2) for gk in gradient])

pyttb/pyttb_utils.py

@@ -481,7 +481,7 @@ def tt_subsubsref(obj: np.ndarray, s: Any) -> Union[float, np.ndarray]:
     Returns
     -------
     Still uncertain to this functionality
-    """ # noqa: D401
+    """  # noqa: D401
     # TODO figure out when subsref yields key of length>1 for now ignore this logic and
     #  just return
     # if len(s) == 1: