Refactor project configuration and enhance linting rules

- Changed project name from "Fusion Artificial InTelligence Hub" to "faith" in pyproject.toml.
- Updated linting rules in the ruff configuration to include additional checks for code quality.
- Expanded Python version resolution markers in uv.lock to support more specific platform and version combinations.
- Added new package dependencies in uv.lock, including aiohappyeyeballs and aiohttp with their respective versions and sources.
- Imported nn module from torch in the test file to support neural network operations.

Author: Nathaniel Chen

pyproject.toml

@@ -1,5 +1,5 @@
 [project]
-name = "Fusion Artificial InTelligence Hub"
+name = "faith"
 version = "0.0.1-alpha"
 authors = [
     { name = "Peter Steiner", email = "peter.steiner@princeton.edu" },
@@ -62,7 +62,16 @@ explicit = true
 package = true
 
 [tool.ruff]
-select = ["E", "F", "I", "B", "ANN"]
+select = [
+    "E",   # pycodestyle errors
+    "W",   # pycodestyle warnings
+    "F",   # pyflakes
+    "I",   # isort
+    "B",   # flake8-bugbear
+    "C4",  # flake8-comprehensions
+    "UP",  # pyupgrade
+    "ANN", # flake8-annotations
+    ]
 line-length = 79
 
 [project.urls]

tests/test_train_blocks_base.py

@@ -1,4 +1,5 @@
 import torch
+import torch.nn as nn
 from src.faith.train.blocks import BaseConvBlock, BlockUtils