🩹 (Kaggle-LLM-Science-Exam): fix pre-commit complaints

lib/kaggle-llm-science-exam/pyproject.toml

@@ -34,15 +34,15 @@ readme = "README.md"
 version = "0.1.0"
 
 [tool.poetry.dependencies]
-polars = "~0.19.15"
-scikit-learn = "^1.3.2"
 bitsandbytes = "~0.41.2.post2"
 datasets = "^2.15.0"
+loguru = "~0.7.2"
+polars = "~0.19.15"
 python = "~3.10"
+scikit-learn = "^1.3.2"
 torchmetrics = "^1.2.0"
-loguru = "~0.7.2"
-typer = "~0.9.0"
 transformers = "^4.35.2"
+typer = "~0.9.0"
 
 [tool.poetry.group.test.dependencies]
 pytest = "^7.1.2"

lib/kaggle-llm-science-exam/scripts/gpt2.py

@@ -1,6 +1,6 @@
 """File to run the evaluation of an LLM on the task.
 
-When used in Kaggle's notebooks, the following lines must be run beforehand, and the notebook 
+When used in Kaggle's notebooks, the following lines must be run beforehand, and the notebook
 must probably be reset as well:
 
 ```

lib/kaggle-llm-science-exam/scripts/mistral.py

@@ -1,6 +1,6 @@
 """File to run the evaluation of an LLM on the task.
 
-When used in Kaggle's notebooks, the following lines must be run beforehand, and the notebook 
+When used in Kaggle's notebooks, the following lines must be run beforehand, and the notebook
 must probably be reset as well:
 
 ```

lib/kaggle-llm-science-exam/scripts/mistral_instruct_rag.py

@@ -25,7 +25,7 @@
 from transformers import AutoTokenizer, BitsAndBytesConfig, GenerationConfig
 
 try:
-    from pandas.api.types import is_datetime64tz_dtype
+    from pandas.api.types import is_datetime64tz_dtype  # noqa: F401
 except ImportError:
     # pandas < 0.19.2
     pass

lib/kaggle-llm-science-exam/scripts/mistral_rag.py

@@ -1,6 +1,6 @@
 """File to run the evaluation of an LLM on the task.
 
-When used in Kaggle's notebooks, the following lines must be run beforehand, and the notebook 
+When used in Kaggle's notebooks, the following lines must be run beforehand, and the notebook
 must probably be reset as well:
 
 ```
@@ -26,10 +26,9 @@
 from torch import Tensor
 from torch.utils.data import DataLoader
 from transformers import AutoTokenizer, BitsAndBytesConfig, GenerationConfig
-from transformers.utils import quantization_config
 
 try:
-    from pandas.api.types import is_datetime64tz_dtype
+    from pandas.api.types import is_datetime64tz_dtype  # noqa: F401
 except ImportError:
     # pandas < 0.19.2
     pass

lib/kaggle-llm-science-exam/scripts/tf-idf.py

@@ -1,6 +1,6 @@
 """File to compute dataset augmentation with articles from Wikipedia using TF-IDF.
 
-This script can run on a CPU, as it's made mainly with sklearn, polars and datasets, however it 
+This script can run on a CPU, as it's made mainly with sklearn, polars and datasets, however it
 takes just a bit more than one hour to run on my MacOS CPU (Intel chip).
 """