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text-splitters: MarkdownHeaderTextSplitter silently drops tabs and NBSP (including inside fenced code)
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上游 issue 正文
### Submission checklist
- [x] This is a bug, not a usage question.
- [x] I added a clear and descriptive title that summarizes this issue.
- [x] I used the GitHub search to find a similar question and didn't find it.
- [x] I am sure that this is a bug in LangChain rather than my code.
- [x] The bug is not resolved by updating to the latest stable version of LangChain (or the specific integration package).
- [x] This is not related to the langchain-community package.
- [x] I posted a self-contained, minimal, reproducible example. A maintainer can copy it and run it AS IS.
### Package (Required)
- [ ] langchain
- [ ] langchain-openai
- [ ] langchain-anthropic
- [ ] langchain-classic
- [ ] langchain-core
- [ ] langchain-model-profiles
- [ ] langchain-tests
- [x] langchain-text-splitters
- [ ] langchain-chroma
- [ ] langchain-deepseek
- [ ] langchain-exa
- [ ] langchain-fireworks
- [ ] langchain-groq
- [ ] langchain-huggingface
- [ ] langchain-mistralai
- [ ] langchain-nomic
- [ ] langchain-ollama
- [ ] langchain-openrouter
- [ ] langchain-perplexity
- [ ] langchain-qdrant
- [ ] langchain-xai
- [ ] Other / not sure / general
### Related Issues / PRs
* Prior CLI filing #40066 was auto-closed for missing issue type; re-filing via web template.
* ExperimentalMarkdownSyntaxTextSplitter documents retaining exact whitespace as a re-implementation of this splitter.
* Ready PR: https://github.com/langchain-ai/langchain/pull/40068
### Reproduction Steps / Example Code (Python)
```python
from langchain_text_splitters import MarkdownHeaderTextSplitter
s = MarkdownHeaderTextSplitter(headers_to_split_on=[("#", "h1")])
docs = s.split_text("# Title\n\n\ndef foo():\n\treturn 1\n\n")
print(repr(docs[0].page_content))
# actual: tab indent destroyed
# expected: tab before return preserved
docs2 = s.split_text("# Title\n\nhello\tworld")
print(repr(docs2[0].page_content))
# actual: 'helloworld'
# expected: 'hello\tworld'
docs3 = s.split_text("# Title\n\nhello\u00a0world")
print(repr(docs3[…
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