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chore(langchain): add ruff rules D for langchain_v1 (#32808)

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Christophe Bornet
2025-09-03 21:26:17 +02:00
committed by GitHub
parent 36037c9251
commit 86fa34f3eb
12 changed files with 66 additions and 45 deletions
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2
libs/langchain_v1/langchain/agents/react_agent.py
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@@ -1,3 +1,5 @@
"""React agent implementation."""
from __future__ import annotations from __future__ import annotations
import inspect import inspect

2
libs/langchain_v1/langchain/chat_models/__init__.py
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@@ -1,3 +1,5 @@
"""Chat models."""
from langchain_core.language_models import BaseChatModel from langchain_core.language_models import BaseChatModel
from langchain.chat_models.base import init_chat_model from langchain.chat_models.base import init_chat_model

2
libs/langchain_v1/langchain/chat_models/base.py
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@@ -1,3 +1,5 @@
"""Factory functions for chat models."""
from __future__ import annotations from __future__ import annotations
import warnings import warnings

2
libs/langchain_v1/langchain/documents/__init__.py
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@@ -1,3 +1,5 @@
"""Document."""
from langchain_core.documents import Document from langchain_core.documents import Document
__all__ = [ __all__ = [

2
libs/langchain_v1/langchain/embeddings/__init__.py
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@@ -1,3 +1,5 @@
"""Embeddings."""
from langchain_core.embeddings import Embeddings from langchain_core.embeddings import Embeddings
from langchain.embeddings.base import init_embeddings from langchain.embeddings.base import init_embeddings

2
libs/langchain_v1/langchain/embeddings/base.py
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@@ -1,3 +1,5 @@
"""Factory functions for embeddings."""
import functools import functools
from importlib import util from importlib import util
from typing import Any, Union from typing import Any, Union

2
libs/langchain_v1/langchain/storage/encoder_backed.py
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@@ -1,3 +1,5 @@
"""Encoder-backed store implementation."""
from collections.abc import AsyncIterator, Callable, Iterator, Sequence from collections.abc import AsyncIterator, Callable, Iterator, Sequence
from typing import ( from typing import (
Any, Any,

2
libs/langchain_v1/langchain/storage/exceptions.py
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@@ -1,3 +1,5 @@
"""Store exceptions."""
from langchain_core.stores import InvalidKeyException from langchain_core.stores import InvalidKeyException
__all__ = ["InvalidKeyException"] __all__ = ["InvalidKeyException"]

2
libs/langchain_v1/langchain/tools/__init__.py
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@@ -1,3 +1,5 @@
"""Tools."""
from langchain_core.tools import ( from langchain_core.tools import (
BaseTool, BaseTool,
InjectedToolArg, InjectedToolArg,

7
libs/langchain_v1/pyproject.toml
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@@ -59,7 +59,7 @@ test = [
] ]
codespell = ["codespell<3.0.0,>=2.2.0"] codespell = ["codespell<3.0.0,>=2.2.0"]
lint = [ lint = [
"ruff>=0.12.2", "ruff<0.13,>=0.12.11",
"mypy>=1.15", "mypy>=1.15",
] ]
typing = [ typing = [
@@ -112,9 +112,6 @@ select = [
"ALL" "ALL"
] ]
ignore = [ ignore = [
"D100", # pydocstyle: Missing docstring in public module
"D104", # pydocstyle: Missing docstring in public package
"D105", # pydocstyle: Missing docstring in magic method
"COM812", # Messes with the formatter "COM812", # Messes with the formatter
"ISC001", # Messes with the formatter "ISC001", # Messes with the formatter
"PERF203", # Rarely useful "PERF203", # Rarely useful
@@ -132,7 +129,7 @@ flake8-annotations.allow-star-arg-any = true
[tool.ruff.lint.per-file-ignores] [tool.ruff.lint.per-file-ignores]
"tests/*" = [ "tests/*" = [
"D", # Documentation rules "D1", # Documentation rules
"PLC0415", # Imports should be at the top. Not always desirable for tests "PLC0415", # Imports should be at the top. Not always desirable for tests
] ]
"langchain/agents/*" = [ "langchain/agents/*" = [

34
libs/langchain_v1/tests/integration_tests/cache/fake_embeddings.py vendored
View File

@@ -12,7 +12,9 @@ class FakeEmbeddings(Embeddings):
def embed_documents(self, texts: list[str]) -> list[list[float]]: def embed_documents(self, texts: list[str]) -> list[list[float]]:
"""Return simple embeddings. """Return simple embeddings.
Embeddings encode each text as its index."""
Embeddings encode each text as its index.
"""
return [[1.0] * 9 + [float(i)] for i in range(len(texts))] return [[1.0] * 9 + [float(i)] for i in range(len(texts))]
async def aembed_documents(self, texts: list[str]) -> list[list[float]]: async def aembed_documents(self, texts: list[str]) -> list[list[float]]:
@@ -20,9 +22,11 @@ class FakeEmbeddings(Embeddings):
def embed_query(self, text: str) -> list[float]: def embed_query(self, text: str) -> list[float]:
"""Return constant query embeddings. """Return constant query embeddings.
Embeddings are identical to embed_documents(texts)[0]. Embeddings are identical to embed_documents(texts)[0].
Distance to each text will be that text's index, Distance to each text will be that text's index,
as it was passed to embed_documents.""" as it was passed to embed_documents.
"""
return [1.0] * 9 + [0.0] return [1.0] * 9 + [0.0]
async def aembed_query(self, text: str) -> list[float]: async def aembed_query(self, text: str) -> list[float]:
@@ -30,8 +34,11 @@ class FakeEmbeddings(Embeddings):
class ConsistentFakeEmbeddings(FakeEmbeddings): class ConsistentFakeEmbeddings(FakeEmbeddings):
"""Fake embeddings which remember all the texts seen so far to return consistent """Consistent fake embeddings.
vectors for the same texts."""
Fake embeddings which remember all the texts seen so far to return consistent
vectors for the same texts.
"""
def __init__(self, dimensionality: int = 10) -> None: def __init__(self, dimensionality: int = 10) -> None:
self.known_texts: list[str] = [] self.known_texts: list[str] = []
@@ -50,25 +57,24 @@ class ConsistentFakeEmbeddings(FakeEmbeddings):
return out_vectors return out_vectors
def embed_query(self, text: str) -> list[float]: def embed_query(self, text: str) -> list[float]:
"""Return consistent embeddings for the text, if seen before, or a constant """Return consistent embeddings.
one if the text is unknown."""
Return consistent embeddings for the text, if seen before, or a constant
one if the text is unknown.
"""
return self.embed_documents([text])[0] return self.embed_documents([text])[0]
class AngularTwoDimensionalEmbeddings(Embeddings): class AngularTwoDimensionalEmbeddings(Embeddings):
""" """From angles (as strings in units of pi) to unit embedding vectors on a circle."""
From angles (as strings in units of pi) to unit embedding vectors on a circle.
"""
def embed_documents(self, texts: list[str]) -> list[list[float]]: def embed_documents(self, texts: list[str]) -> list[list[float]]:
""" """Make a list of texts into a list of embedding vectors."""
Make a list of texts into a list of embedding vectors.
"""
return [self.embed_query(text) for text in texts] return [self.embed_query(text) for text in texts]
def embed_query(self, text: str) -> list[float]: def embed_query(self, text: str) -> list[float]:
""" """Convert input text to a 'vector' (list of floats).
Convert input text to a 'vector' (list of floats).
If the text is a number, use it as the angle for the If the text is a number, use it as the angle for the
unit vector in units of pi. unit vector in units of pi.
Any other input text becomes the singular result [0, 0] ! Any other input text becomes the singular result [0, 0] !

52
libs/langchain_v1/uv.lock generated
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@@ -1,5 +1,5 @@
version = 1 version = 1
revision = 2 revision = 3
requires-python = ">=3.10" requires-python = ">=3.10"
resolution-markers = [ resolution-markers = [
"python_full_version >= '3.13' and platform_python_implementation == 'PyPy'", "python_full_version >= '3.13' and platform_python_implementation == 'PyPy'",
@@ -1550,7 +1550,7 @@ provides-extras = ["anthropic", "openai", "azure-ai", "google-vertexai", "google
codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }] codespell = [{ name = "codespell", specifier = ">=2.2.0,<3.0.0" }]
lint = [ lint = [
{ name = "mypy", specifier = ">=1.15" }, { name = "mypy", specifier = ">=1.15" },
{ name = "ruff", specifier = ">=0.12.2" }, { name = "ruff", specifier = ">=0.12.11,<0.13" },
] ]
test = [ test = [
{ name = "langchain-openai", editable = "../partners/openai" }, { name = "langchain-openai", editable = "../partners/openai" },
@@ -1819,7 +1819,7 @@ dependencies = [
[package.metadata] [package.metadata]
requires-dist = [ requires-dist = [
{ name = "langchain-core", editable = "../core" }, { name = "langchain-core", editable = "../core" },
{ name = "openai", specifier = ">=1.99.9,<2.0.0" }, { name = "openai", specifier = ">=1.104.2,<2.0.0" },
{ name = "tiktoken", specifier = ">=0.7,<1" }, { name = "tiktoken", specifier = ">=0.7,<1" },
] ]
@@ -2462,7 +2462,7 @@ wheels = [
[[package]] [[package]]
name = "openai" name = "openai"
version = "1.102.0" version = "1.105.0"
source = { registry = "https://pypi.org/simple" } source = { registry = "https://pypi.org/simple" }
dependencies = [ dependencies = [
{ name = "anyio" }, { name = "anyio" },
@@ -2474,9 +2474,9 @@ dependencies = [
{ name = "tqdm" }, { name = "tqdm" },
{ name = "typing-extensions" }, { name = "typing-extensions" },
] ]
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[[package]] [[package]]
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