Bump the python-dependencies group across 1 directory with 26 updates

pyproject.toml

@@ -19,16 +19,16 @@ readme = "README.md"
 requires-python = ">=3.12"
 dependencies = [
     "dvc[ssh]>=3.65.0",
-    "fastapi==0.115.6",
+    "fastapi==0.135.2",
     "gdown>=5.2.0",
     "hydra-core>=1.3.2",
     "omegaconf>=2.3.0",
     "matplotlib>=3.10.8",
-    "pathspec<1.0.0",
+    "pathspec<2.0.0",
     "scikit-learn>=1.8.0",
-    "torch==2.9.1",
-    "typer==0.15.1",
-    "uvicorn[standard]==0.34.0",
+    "torch==2.11.0",
+    "typer==0.24.1",
+    "uvicorn[standard]==0.42.0",
     "loguru>=0.7.3",
     "wandb>=0.23.1",
     "pytorch-lightning>=2.6.0",
@@ -50,13 +50,13 @@ dependencies = [
 #    uv sync --all-groups
 [dependency-groups]
 dev = [
-    "coverage==7.6.9",
-    "invoke==2.2.0",
-    "mkdocs-material==9.4.6",
+    "coverage==7.13.5",
+    "invoke==2.2.1",
+    "mkdocs-material==9.7.6",
     "mkdocs==1.6.1",
-    "pre-commit==4.1.0",
-    "pytest==8.3.4",
-    "mkdocstrings-python==1.12.2",
+    "pre-commit==4.5.1",
+    "pytest==9.0.2",
+    "mkdocstrings-python==2.0.3",
     "mypy>=1.19.1", # static type checker
     "ruff>=0.14.10",
     "ty>=0.0.9",

src/ml_ops/link_best_model.py

@@ -1,9 +1,8 @@
 # Takes a sweep ID, finds the best run, and links its model artifact to a model registry.
 
 import typer
-from loguru import logger
-
 import wandb
+from loguru import logger
 
 app = typer.Typer()
 

src/ml_ops/link_model.py

@@ -1,7 +1,6 @@
 import os
 
 import typer
-
 import wandb
 
 

src/ml_ops/promote_model.py

@@ -2,9 +2,8 @@
 import operator
 
 import typer
-from dotenv import load_dotenv
-
 import wandb
+from dotenv import load_dotenv
 
 # Initialize Typer app
 app = typer.Typer()

src/ml_ops/train.py

@@ -5,6 +5,7 @@
 import hydra
 import matplotlib.pyplot as plt
 import torch
+import wandb
 from dotenv import load_dotenv
 from hydra.utils import instantiate
 from loguru import logger
@@ -13,7 +14,6 @@
 from torch.utils.data import DataLoader
 from torchvision.utils import make_grid
 
-import wandb
 from ml_ops.data import corrupt_mnist
 from ml_ops.device import DEVICE
 from ml_ops.model import MyAwesomeModel

src/ml_ops/train_cli.py

@@ -8,6 +8,7 @@
 import matplotlib.pyplot as plt
 import torch
 import typer
+import wandb
 from dotenv import load_dotenv
 from hydra.utils import instantiate
 from loguru import logger
@@ -16,7 +17,6 @@
 from torch.utils.data import DataLoader
 from torchvision.utils import make_grid
 
-import wandb
 from ml_ops.data import corrupt_mnist
 from ml_ops.device import DEVICE
 from ml_ops.model import MyAwesomeModel

tests/performancetests/test_model.py

@@ -11,8 +11,8 @@
 import time
 
 import torch
-
 import wandb
+
 from ml_ops.model import MyAwesomeModel