Update pyfmt component on FBS:master (meta-pytorch#3088)

Summary:
X-link: facebook/Ax#4572

X-link: facebookexternal/aepsych_prerelease#42

X-link: facebook/dotslash#89

X-link: meta-pytorch/torchx#1165

X-link: facebookresearch/aepsych#824

Pull Request resolved: meta-pytorch#3088

Differential Revision: D87671961

Author: bowiechen

.pre-commit-config.yaml

@@ -11,13 +11,13 @@ repos:
             - PyYAML
 
 -   repo: https://github.com/omnilib/ufmt
-    rev: v2.8.0
+    rev: v2.9.0
     hooks:
     -   id: ufmt
         additional_dependencies:
-        - black==24.4.2
-        - usort==1.0.8.post1
-        - ruff-api==0.1.0
+        - black==25.11.0
+        - usort==1.1.0
+        - ruff-api==0.2.0
         - stdlibs==2024.1.28
         args: [format]
 

botorch/acquisition/analytic.py

@@ -12,7 +12,6 @@
 from __future__ import annotations
 
 import math
-
 from abc import ABC, abstractmethod
 from contextlib import nullcontext
 from copy import deepcopy

botorch/acquisition/decoupled.py

@@ -16,7 +16,6 @@
 from botorch.exceptions import BotorchWarning
 from botorch.exceptions.errors import BotorchTensorDimensionError
 from botorch.logging import shape_to_str
-
 from botorch.models.model import ModelList
 from torch import Tensor
 

botorch/acquisition/fixed_feature.py

@@ -12,7 +12,6 @@
 from __future__ import annotations
 
 from collections.abc import Sequence
-
 from numbers import Number
 
 import torch

botorch/acquisition/joint_entropy_search.py

@@ -40,7 +40,6 @@
     t_batch_mode_transform,
 )
 from torch import Tensor
-
 from torch.distributions import Normal
 
 MCMC_DIM = -3  # Only relevant if you do Fully Bayesian GPs.

botorch/acquisition/knowledge_gradient.py

@@ -27,7 +27,6 @@
 from __future__ import annotations
 
 from collections.abc import Callable
-
 from copy import deepcopy
 from typing import Any
 

botorch/acquisition/max_value_entropy_search.py

@@ -50,7 +50,6 @@
     match_batch_shape,
     t_batch_mode_transform,
 )
-
 from linear_operator.functions import inv_quad
 from linear_operator.utils.cholesky import psd_safe_cholesky
 from scipy.optimize import brentq

botorch/acquisition/multi_objective/hypervolume_knowledge_gradient.py

@@ -27,7 +27,6 @@
     AcquisitionFunction,
     OneShotAcquisitionFunction,
 )
-
 from botorch.acquisition.cost_aware import CostAwareUtility
 from botorch.acquisition.decoupled import DecoupledAcquisitionFunction
 from botorch.acquisition.knowledge_gradient import ProjectedAcquisitionFunction

botorch/acquisition/prior_guided.py

@@ -27,7 +27,6 @@
     t_batch_mode_transform,
 )
 from torch import Tensor
-
 from torch.nn import Module
 
 

botorch/generation/sampling.py

@@ -27,7 +27,6 @@
 )
 from botorch.generation.utils import _flip_sub_unique
 from botorch.models.model import Model
-
 from botorch.models.model_list_gp_regression import ModelListGP
 from botorch.models.multitask import MultiTaskGP
 from botorch.utils.sampling import batched_multinomial