## Summary
- Moves `nltk`, `spacy`, `sentence-transformers`, and `konlpy` imports
back inside class constructors/functions so they are only loaded when
the respective splitter is actually instantiated
- Adds a subprocess-based regression test to verify no heavy packages
are imported at `langchain_text_splitters` load time
## Why
PR #32325 moved these optional dependency imports to module-level
`try/except` blocks (to satisfy ruff's `PLC0415` rule). Since
`__init__.py` imports all four splitter modules, this caused `import
langchain_text_splitters` to eagerly load all optional heavy packages,
resulting in:
- A PyTorch NVML warning (`UserWarning: Can't initialize NVML`) on
non-GPU machines
- A ~650MB memory spike on import (74MB → 736MB), vs ~50MB in 0.3.x
The fix restores the lazy import pattern with `# noqa: PLC0415` to
suppress the linter rule, which is the correct trade-off when a
dependency has high instantiation cost.
## Review notes
- The `PLC0415` suppressions are intentional — these are optional heavy
dependencies that should never be loaded unless the user explicitly
instantiates the splitter class
- The regression test uses a subprocess for proper isolation (the test
file itself imports `langchain_text_splitters` at the top, so
`sys.modules` checks within the same process would not reflect a clean
import state)
Fixes#35437.
> **AI disclaimer:** This PR was developed with assistance from Claude
Code (Anthropic AI).
---------
Co-authored-by: AshwathB-debug <ashwathbalaji04@gmail.com>
Co-authored-by: Claude Sonnet 4.6 <noreply@anthropic.com>
Co-authored-by: Mason Daugherty <github@mdrxy.com>
