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text-splitters[patch]: fix some import-untyped errors (#31030)

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Christophe Bornet 2025-05-15 17:34:22 +02:00 committed by GitHub
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commit eab8484a80
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7 changed files with 172 additions and 36 deletions
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2
libs/text-splitters/langchain_text_splitters/base.py
View File

@ -150,7 +150,7 @@ class TextSplitter(BaseDocumentTransformer, ABC):
def from_huggingface_tokenizer(cls, tokenizer: Any, **kwargs: Any) -> TextSplitter: def from_huggingface_tokenizer(cls, tokenizer: Any, **kwargs: Any) -> TextSplitter:
"""Text splitter that uses HuggingFace tokenizer to count length.""" """Text splitter that uses HuggingFace tokenizer to count length."""
try: try:
from transformers import PreTrainedTokenizerBase from transformers.tokenization_utils_base import PreTrainedTokenizerBase
if not isinstance(tokenizer, PreTrainedTokenizerBase): if not isinstance(tokenizer, PreTrainedTokenizerBase):
raise ValueError( raise ValueError(

3
libs/text-splitters/langchain_text_splitters/html.py
View File

@ -636,10 +636,9 @@ class HTMLSemanticPreservingSplitter(BaseDocumentTransformer):
if self._stopword_removal: if self._stopword_removal:
try: try:
import nltk import nltk
from nltk.corpus import stopwords # type: ignore[import-untyped]
nltk.download("stopwords") nltk.download("stopwords")
self._stopwords = set(stopwords.words(self._stopword_lang)) self._stopwords = set(nltk.corpus.stopwords.words(self._stopword_lang))
except ImportError: except ImportError:
raise ImportError( raise ImportError(
"Could not import nltk. Please install it with 'pip install nltk'." "Could not import nltk. Please install it with 'pip install nltk'."

4
libs/text-splitters/langchain_text_splitters/konlpy.py
View File

@ -20,7 +20,7 @@ class KonlpyTextSplitter(TextSplitter):
super().__init__(**kwargs) super().__init__(**kwargs)
self._separator = separator self._separator = separator
try: try:
from konlpy.tag import Kkma import konlpy
except ImportError: except ImportError:
raise ImportError( raise ImportError(
""" """
@ -28,7 +28,7 @@ class KonlpyTextSplitter(TextSplitter):
`pip install konlpy` `pip install konlpy`
""" """
) )
self.kkma = Kkma() self.kkma = konlpy.tag.Kkma()
def split_text(self, text: str) -> List[str]: def split_text(self, text: str) -> List[str]:
"""Split incoming text and return chunks.""" """Split incoming text and return chunks."""

10
libs/text-splitters/langchain_text_splitters/nltk.py
View File

@ -24,14 +24,12 @@ class NLTKTextSplitter(TextSplitter):
if self._use_span_tokenize and self._separator != "": if self._use_span_tokenize and self._separator != "":
raise ValueError("When use_span_tokenize is True, separator should be ''") raise ValueError("When use_span_tokenize is True, separator should be ''")
try: try:
import nltk
if self._use_span_tokenize: if self._use_span_tokenize:
from nltk.tokenize import _get_punkt_tokenizer self._tokenizer = nltk.tokenize._get_punkt_tokenizer(self._language)
self._tokenizer = _get_punkt_tokenizer(self._language)
else: else:
from nltk.tokenize import sent_tokenize self._tokenizer = nltk.tokenize.sent_tokenize
self._tokenizer = sent_tokenize
except ImportError: except ImportError:
raise ImportError( raise ImportError(
"NLTK is not installed, please install it with `pip install nltk`." "NLTK is not installed, please install it with `pip install nltk`."

4
libs/text-splitters/langchain_text_splitters/spacy.py
View File

@ -50,9 +50,7 @@ def _make_spacy_pipeline_for_splitting(
"Spacy is not installed, please install it with `pip install spacy`." "Spacy is not installed, please install it with `pip install spacy`."
) )
if pipeline == "sentencizer": if pipeline == "sentencizer":
from spacy.lang.en import English sentencizer: Any = spacy.lang.en.English()
sentencizer: Any = English()
sentencizer.add_pipe("sentencizer") sentencizer.add_pipe("sentencizer")
else: else:
sentencizer = spacy.load(pipeline, exclude=["ner", "tagger"]) sentencizer = spacy.load(pipeline, exclude=["ner", "tagger"])

17
libs/text-splitters/pyproject.toml
View File

@ -40,7 +40,7 @@ test_integration = [
"spacy<3.8.4,>=3.0.0; python_version < \"3.10.0\"", "spacy<3.8.4,>=3.0.0; python_version < \"3.10.0\"",
"spacy<4.0.0,>=3.0.0; python_version < \"3.13.0\"", "spacy<4.0.0,>=3.0.0; python_version < \"3.13.0\"",
"nltk<4.0.0,>=3.9.1", "nltk<4.0.0,>=3.9.1",
"transformers<5.0.0,>=4.47.0", "transformers<5.0.0,>=4.51.3",
"sentence-transformers>=2.6.0; python_version < \"3.13\"", "sentence-transformers>=2.6.0; python_version < \"3.13\"",
] ]
@ -54,20 +54,7 @@ enable_error_code = "deprecated"
report_deprecated_as_note = "True" report_deprecated_as_note = "True"
[[tool.mypy.overrides]] [[tool.mypy.overrides]]
module = [ module = ["konlpy", "nltk", "sentence_transformers", "spacy",]
"transformers",
"sentence_transformers",
"nltk.tokenize",
"konlpy.tag",
"bs4",
"pytest",
"spacy",
"spacy.lang.en",
"numpy",
"nltk",
"spacy.cli",
"torch",
]
ignore_missing_imports = "True" ignore_missing_imports = "True"
[tool.ruff] [tool.ruff]

168
libs/text-splitters/uv.lock
View File

@ -620,7 +620,7 @@ wheels = [
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name = "huggingface-hub" name = "huggingface-hub"
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source = { registry = "https://pypi.org/simple" } source = { registry = "https://pypi.org/simple" }
dependencies = [ dependencies = [
{ name = "filelock" }, { name = "filelock" },
@ -631,9 +631,9 @@ dependencies = [
{ name = "tqdm" }, { name = "tqdm" },
{ name = "typing-extensions" }, { name = "typing-extensions" },
] ]
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[[package]]
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version = "0.6.0"
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{ name = "lxml" },
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[[package]] [[package]]
name = "langchain-core" name = "langchain-core"
version = "0.3.56" version = "0.3.56"
@ -1174,6 +1227,7 @@ test-integration = [
{ name = "transformers" }, { name = "transformers" },
] ]
typing = [ typing = [
{ name = "konlpy" },
{ name = "lxml-stubs" }, { name = "lxml-stubs" },
{ name = "mypy" }, { name = "mypy" },
{ name = "tiktoken" }, { name = "tiktoken" },
@ -1207,9 +1261,10 @@ test-integration = [
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