openai[patch]: remove numpy dep (#18034)

pull/18056/head
Erick Friis 4 months ago committed by GitHub
parent e8be34f8c7
commit a05fb19f42
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GPG Key ID: B5690EEEBB952194

@ -18,7 +18,6 @@ from typing import (
cast,
)
import numpy as np
import openai
import tiktoken
from langchain_core.embeddings import Embeddings
@ -209,9 +208,11 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
"please use the `AzureOpenAIEmbeddings` class."
)
client_params = {
"api_key": values["openai_api_key"].get_secret_value()
if values["openai_api_key"]
else None,
"api_key": (
values["openai_api_key"].get_secret_value()
if values["openai_api_key"]
else None
),
"organization": values["openai_organization"],
"base_url": values["openai_api_base"],
"timeout": values["request_timeout"],
@ -346,8 +347,22 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
average_embedded = average_embedded.model_dump()
average = average_embedded["data"][0]["embedding"]
else:
average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
embeddings[i] = (average / np.linalg.norm(average)).tolist()
# should be same as
# average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
total_weight = sum(num_tokens_in_batch[i])
average = [
sum(
val * weight
for val, weight in zip(embedding, num_tokens_in_batch[i])
)
/ total_weight
for embedding in zip(*_result)
]
# should be same as
# embeddings[i] = (average / np.linalg.norm(average)).tolist()
magnitude = sum(val**2 for val in average) ** 0.5
embeddings[i] = [val / magnitude for val in average]
return embeddings
@ -456,8 +471,21 @@ class OpenAIEmbeddings(BaseModel, Embeddings):
average_embedded = average_embedded.model_dump()
average = average_embedded["data"][0]["embedding"]
else:
average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
embeddings[i] = (average / np.linalg.norm(average)).tolist()
# should be same as
# average = np.average(_result, axis=0, weights=num_tokens_in_batch[i])
total_weight = sum(num_tokens_in_batch[i])
average = [
sum(
val * weight
for val, weight in zip(embedding, num_tokens_in_batch[i])
)
/ total_weight
for embedding in zip(*_result)
]
# should be same as
# embeddings[i] = (average / np.linalg.norm(average)).tolist()
magnitude = sum(val**2 for val in average) ** 0.5
embeddings[i] = [val / magnitude for val in average]
return embeddings

@ -16,13 +16,13 @@ typing-extensions = {version = ">=4.0.0", markers = "python_version < \"3.9\""}
[[package]]
name = "anyio"
version = "4.2.0"
version = "4.3.0"
description = "High level compatibility layer for multiple asynchronous event loop implementations"
optional = false
python-versions = ">=3.8"
files = [
{file = "anyio-4.2.0-py3-none-any.whl", hash = "sha256:745843b39e829e108e518c489b31dc757de7d2131d53fac32bd8df268227bfee"},
{file = "anyio-4.2.0.tar.gz", hash = "sha256:e1875bb4b4e2de1669f4bc7869b6d3f54231cdced71605e6e64c9be77e3be50f"},
{file = "anyio-4.3.0-py3-none-any.whl", hash = "sha256:048e05d0f6caeed70d731f3db756d35dcc1f35747c8c403364a8332c630441b8"},
{file = "anyio-4.3.0.tar.gz", hash = "sha256:f75253795a87df48568485fd18cdd2a3fa5c4f7c5be8e5e36637733fce06fed6"},
]
[package.dependencies]
@ -226,13 +226,13 @@ files = [
[[package]]
name = "httpcore"
version = "1.0.2"
version = "1.0.4"
description = "A minimal low-level HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpcore-1.0.2-py3-none-any.whl", hash = "sha256:096cc05bca73b8e459a1fc3dcf585148f63e534eae4339559c9b8a8d6399acc7"},
{file = "httpcore-1.0.2.tar.gz", hash = "sha256:9fc092e4799b26174648e54b74ed5f683132a464e95643b226e00c2ed2fa6535"},
{file = "httpcore-1.0.4-py3-none-any.whl", hash = "sha256:ac418c1db41bade2ad53ae2f3834a3a0f5ae76b56cf5aa497d2d033384fc7d73"},
{file = "httpcore-1.0.4.tar.gz", hash = "sha256:cb2839ccfcba0d2d3c1131d3c3e26dfc327326fbe7a5dc0dbfe9f6c9151bb022"},
]
[package.dependencies]
@ -243,17 +243,17 @@ h11 = ">=0.13,<0.15"
asyncio = ["anyio (>=4.0,<5.0)"]
http2 = ["h2 (>=3,<5)"]
socks = ["socksio (==1.*)"]
trio = ["trio (>=0.22.0,<0.23.0)"]
trio = ["trio (>=0.22.0,<0.25.0)"]
[[package]]
name = "httpx"
version = "0.26.0"
version = "0.27.0"
description = "The next generation HTTP client."
optional = false
python-versions = ">=3.8"
files = [
{file = "httpx-0.26.0-py3-none-any.whl", hash = "sha256:8915f5a3627c4d47b73e8202457cb28f1266982d1159bd5779d86a80c0eab1cd"},
{file = "httpx-0.26.0.tar.gz", hash = "sha256:451b55c30d5185ea6b23c2c793abf9bb237d2a7dfb901ced6ff69ad37ec1dfaf"},
{file = "httpx-0.27.0-py3-none-any.whl", hash = "sha256:71d5465162c13681bff01ad59b2cc68dd838ea1f10e51574bac27103f00c91a5"},
{file = "httpx-0.27.0.tar.gz", hash = "sha256:a0cb88a46f32dc874e04ee956e4c2764aba2aa228f650b06788ba6bda2962ab5"},
]
[package.dependencies]
@ -344,16 +344,17 @@ url = "../../core"
[[package]]
name = "langsmith"
version = "0.1.5"
version = "0.1.6"
description = "Client library to connect to the LangSmith LLM Tracing and Evaluation Platform."
optional = false
python-versions = ">=3.8.1,<4.0"
files = [
{file = "langsmith-0.1.5-py3-none-any.whl", hash = "sha256:a1811821a923d90e53bcbacdd0988c3c366aff8f4c120d8777e7af8ecda06268"},
{file = "langsmith-0.1.5.tar.gz", hash = "sha256:aa7a2861aa3d9ae563a077c622953533800466c4e2e539b0d567b84d5fd5b157"},
{file = "langsmith-0.1.6-py3-none-any.whl", hash = "sha256:59b0905ee80a39cc385a5d2140dd699b1b246104eb5ee8735d4f5805400002bd"},
{file = "langsmith-0.1.6.tar.gz", hash = "sha256:9a31b02edce0b9a1607fbd20af3bac2785f44926ce4499b7de82d7ea9fb96b81"},
]
[package.dependencies]
orjson = ">=3.9.14,<4.0.0"
pydantic = ">=1,<3"
requests = ">=2,<3"
@ -478,6 +479,65 @@ typing-extensions = ">=4.7,<5"
[package.extras]
datalib = ["numpy (>=1)", "pandas (>=1.2.3)", "pandas-stubs (>=1.1.0.11)"]
[[package]]
name = "orjson"
version = "3.9.15"
description = "Fast, correct Python JSON library supporting dataclasses, datetimes, and numpy"
optional = false
python-versions = ">=3.8"
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[[package]]
name = "packaging"
version = "23.2"
@ -506,18 +566,18 @@ testing = ["pytest", "pytest-benchmark"]
[[package]]
name = "pydantic"
version = "2.6.1"
version = "2.6.2"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.8"
files = [
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]
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.16.2"
pydantic-core = "2.16.3"
typing-extensions = ">=4.6.1"
[package.extras]
@ -525,90 +585,90 @@ email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
version = "2.16.2"
version = "2.16.3"
description = ""
optional = false
python-versions = ">=3.8"
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{file = "pydantic_core-2.16.3.tar.gz", hash = "sha256:1cac689f80a3abab2d3c0048b29eea5751114054f032a941a32de4c852c59cad"},
]
[package.dependencies]
@ -1066,13 +1126,13 @@ files = [
[[package]]
name = "urllib3"
version = "2.2.0"
version = "2.2.1"
description = "HTTP library with thread-safe connection pooling, file post, and more."
optional = false
python-versions = ">=3.8"
files = [
{file = "urllib3-2.2.0-py3-none-any.whl", hash = "sha256:ce3711610ddce217e6d113a2732fafad960a03fd0318c91faa79481e35c11224"},
{file = "urllib3-2.2.0.tar.gz", hash = "sha256:051d961ad0c62a94e50ecf1af379c3aba230c66c710493493560c0c223c49f20"},
{file = "urllib3-2.2.1-py3-none-any.whl", hash = "sha256:450b20ec296a467077128bff42b73080516e71b56ff59a60a02bef2232c4fa9d"},
{file = "urllib3-2.2.1.tar.gz", hash = "sha256:d0570876c61ab9e520d776c38acbbb5b05a776d3f9ff98a5c8fd5162a444cf19"},
]
[package.extras]
@ -1125,4 +1185,4 @@ watchmedo = ["PyYAML (>=3.10)"]
[metadata]
lock-version = "2.0"
python-versions = ">=3.8.1,<4.0"
content-hash = "9042268bae5a1a551376a56281b3ba357893326bba0aeade8121c5d8d069998d"
content-hash = "914ef1282ef5970913d7c63212b7725c58fdddf9bc2cbfb81cf1ce358315a24c"

@ -14,7 +14,6 @@ license = "MIT"
python = ">=3.8.1,<4.0"
langchain-core = "^0.1.26"
openai = "^1.10.0"
numpy = "^1"
tiktoken = ">=0.5.2,<1"
[tool.poetry.group.test]
@ -35,11 +34,6 @@ optional = true
[tool.poetry.group.codespell.dependencies]
codespell = "^2.2.0"
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.test_integration.dependencies]
[tool.poetry.group.lint]
optional = true
@ -57,6 +51,12 @@ optional = true
[tool.poetry.group.dev.dependencies]
langchain-core = { path = "../../core", develop = true }
[tool.poetry.group.test_integration]
optional = true
[tool.poetry.group.test_integration.dependencies]
numpy = "^1"
[tool.ruff.lint]
select = [
"E", # pycodestyle

@ -1,4 +1,5 @@
"""Test azure openai embeddings."""
import os
from typing import Any

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