style: format code with Autopep8, isort and Ruff Formatter

[deepsource-autofix]

This commit fixes the style issues introduced in 8273698 according to the output
from Autopep8, isort and Ruff Formatter.

Details: None

Summary by Sourcery

Format Python code style across the project using Autopep8, isort, and Ruff to enforce consistent quoting, line wrapping, import ordering, and indentation.

Enhancements:

• Apply automatic formatting across the codebase with Autopep8, isort, and Ruff
• Wrap long lines and multi-argument definitions in parentheses for improved readability
• Normalize string literals to use double quotes consistently
• Reorder and group imports alphabetically
• Clean up blank lines and align indentation uniformly

[sourcery-ai]

Reviewer's Guide

Reformats code style across several modules using Autopep8, isort, and Ruff by wrapping long lines and signatures, standardizing quotes, sorting imports, and cleaning up whitespace.

File-Level Changes

Change	Details	Files
Rewrapped long literals and function signatures with parentheses and hanging indents	Wrapped long format strings and f-strings in parentheses with line breaks Broke multi-parameter function signatures into hanging-indent style Aligned argument lists under opening parentheses	src/rblu/main.py src/rblu/draw_chart/draw_tsne_single.py src/rblu/train/data_argument.py
Standardized string quoting to double quotes	Converted single-quoted strings to double-quoted across logger and info calls Updated f-string prefixes to use double quotes consistently	src/rblu/main.py
Sorted and grouped imports according to isort	Alphabetically ordered imports and separated stdlib/third-party/local groups Inserted blank lines between import groups	src/rblu/draw_chart/draw_metric.py
Cleaned up whitespace and blank lines	Removed trailing spaces at line ends Normalized blank line usage within and between code blocks	src/rblu/main.py src/rblu/train/data_argument.py

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[deepsource-io]

Here's the code health analysis summary for commits 8273698..cd85653. View details on DeepSource ↗.

Analysis Summary

Analyzer	Status	Summary	Link
Python	❌ Failure	❗ 2 occurences introduced 🎯 4 occurences resolved	View Check ↗

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