fix(ruff) : correction ruff

poetry.lock

@@ -818,6 +818,34 @@ files = [
     {file = "rignore-0.6.4.tar.gz", hash = "sha256:e893fdd2d7fdcfa9407d0b7600ef2c2e2df97f55e1c45d4a8f54364829ddb0ab"},
 ]
 
+[[package]]
+name = "ruff"
+version = "0.12.12"
+description = "An extremely fast Python linter and code formatter, written in Rust."
+optional = false
+python-versions = ">=3.7"
+files = [
+    {file = "ruff-0.12.12-py3-none-linux_armv6l.whl", hash = "sha256:de1c4b916d98ab289818e55ce481e2cacfaad7710b01d1f990c497edf217dafc"},
+    {file = "ruff-0.12.12-py3-none-macosx_10_12_x86_64.whl", hash = "sha256:7acd6045e87fac75a0b0cdedacf9ab3e1ad9d929d149785903cff9bb69ad9727"},
+    {file = "ruff-0.12.12-py3-none-macosx_11_0_arm64.whl", hash = "sha256:abf4073688d7d6da16611f2f126be86523a8ec4343d15d276c614bda8ec44edb"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:968e77094b1d7a576992ac078557d1439df678a34c6fe02fd979f973af167577"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:42a67d16e5b1ffc6d21c5f67851e0e769517fb57a8ebad1d0781b30888aa704e"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:b216ec0a0674e4b1214dcc998a5088e54eaf39417327b19ffefba1c4a1e4971e"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_17_ppc64.manylinux2014_ppc64.whl", hash = "sha256:59f909c0fdd8f1dcdbfed0b9569b8bf428cf144bec87d9de298dcd4723f5bee8"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:9ac93d87047e765336f0c18eacad51dad0c1c33c9df7484c40f98e1d773876f5"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:01543c137fd3650d322922e8b14cc133b8ea734617c4891c5a9fccf4bfc9aa92"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2afc2fa864197634e549d87fb1e7b6feb01df0a80fd510d6489e1ce8c0b1cc45"},
+    {file = "ruff-0.12.12-py3-none-manylinux_2_31_riscv64.whl", hash = "sha256:0c0945246f5ad776cb8925e36af2438e66188d2b57d9cf2eed2c382c58b371e5"},
+    {file = "ruff-0.12.12-py3-none-musllinux_1_2_aarch64.whl", hash = "sha256:a0fbafe8c58e37aae28b84a80ba1817f2ea552e9450156018a478bf1fa80f4e4"},
+    {file = "ruff-0.12.12-py3-none-musllinux_1_2_armv7l.whl", hash = "sha256:b9c456fb2fc8e1282affa932c9e40f5ec31ec9cbb66751a316bd131273b57c23"},
+    {file = "ruff-0.12.12-py3-none-musllinux_1_2_i686.whl", hash = "sha256:5f12856123b0ad0147d90b3961f5c90e7427f9acd4b40050705499c98983f489"},
+    {file = "ruff-0.12.12-py3-none-musllinux_1_2_x86_64.whl", hash = "sha256:26a1b5a2bf7dd2c47e3b46d077cd9c0fc3b93e6c6cc9ed750bd312ae9dc302ee"},
+    {file = "ruff-0.12.12-py3-none-win32.whl", hash = "sha256:173be2bfc142af07a01e3a759aba6f7791aa47acf3604f610b1c36db888df7b1"},
+    {file = "ruff-0.12.12-py3-none-win_amd64.whl", hash = "sha256:e99620bf01884e5f38611934c09dd194eb665b0109104acae3ba6102b600fd0d"},
+    {file = "ruff-0.12.12-py3-none-win_arm64.whl", hash = "sha256:2a8199cab4ce4d72d158319b63370abf60991495fb733db96cd923a34c52d093"},
+    {file = "ruff-0.12.12.tar.gz", hash = "sha256:b86cd3415dbe31b3b46a71c598f4c4b2f550346d1ccf6326b347cc0c8fd063d6"},
+]
+
 [[package]]
 name = "sentry-sdk"
 version = "2.37.0"
@@ -1249,4 +1277,4 @@ files = [
 [metadata]
 lock-version = "2.0"
 python-versions = "^3.12"
-content-hash = "32ac482de7a30e618f3c9c76d6870832a305c7c5d7456bbef2def9f8ea4e3513"
+content-hash = "88ee0e0f68ec43cd0c2252d0397b9af4776345ce95db3cee571d8de7657d3223"

pyproject.toml

@@ -11,6 +11,9 @@ fastapi = {extras = ["standard"], version = "^0.116.1"}
 uvicorn = "^0.35.0"
 
 
+[tool.poetry.group.dev.dependencies]
+ruff = "^0.12.12"
+
 [build-system]
 requires = ["poetry-core"]
 build-backend = "poetry.core.masonry.api"

src/main.py

@@ -1,4 +1,3 @@
-from typing import Union
 
 from fastapi import FastAPI
 

utils/scoring.py

@@ -1,4 +1,4 @@
-from sklearn.metrics import average_precision_score, make_scorer, precision_score, recall_score, f1_score, accuracy_score, roc_auc_score
+from sklearn.metrics import average_precision_score, make_scorer, precision_score, recall_score, f1_score, roc_auc_score
 from sklearn.model_selection import StratifiedKFold, cross_validate