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{
lib,
stdenv,
buildPythonPackage,
pythonAtLeast,
python,
fetchPypi,
autoPatchelfHook,
# dependencies
click,
filelock,
jsonschema,
msgpack,
packaging,
protobuf,
pyyaml,
requests,
# optional-dependencies
# cgraph
cupy,
# client
grpcio,
# data
fsspec,
numpy,
pandas,
pyarrow,
# default
aiohttp,
aiohttp-cors,
colorful,
opencensus,
opentelemetry-exporter-prometheus,
opentelemetry-proto,
opentelemetry-sdk,
prometheus-client,
pydantic,
py-spy,
smart-open,
virtualenv,
# llm
async-timeout,
hf-transfer,
jsonref,
meson,
ninja,
# nixl,
pybind11,
typer,
vllm,
# observability
memray,
# rllib
dm-tree,
gymnasium,
lz4,
ormsgpack,
scipy,
# serve
fastapi,
starlette,
uvicorn,
watchfiles,
# serve-async-inference
celery,
# serve-grpc
pyopenssl,
# tune
tensorboardx,
}:
let
pname = "ray";
version = "2.53.0";
in
buildPythonPackage rec {
inherit pname version;
format = "wheel";
disabled = pythonAtLeast "3.14";
src =
let
pyShortVersion = "cp${builtins.replaceStrings [ "." ] [ "" ] python.pythonVersion}";
platforms = {
aarch64-darwin = "macosx_12_0_arm64";
aarch64-linux = "manylinux2014_aarch64";
x86_64-linux = "manylinux2014_x86_64";
};
# ./pkgs/development/python-modules/ray/prefetch.sh
# Results are in ./ray-hashes.nix
hashes = {
x86_64-linux = {
cp310 = "sha256-TbtfzhNkdj8pdBBV9Qq+M89yY5cUH5zA6EXdPMlj5FU=";
cp311 = "sha256-6wAMF/cwEHH90VxExM06wPeVO7THwifmFxn+cEgZW80=";
cp312 = "sha256-FPRjY+m0zwwci02GI+wzfFvUCDd4MbXltQBnkwE3u8o=";
cp313 = "sha256-c9u6p5Yqf144qoz5SD4OmBcgXpiao9yFnHOMKvGuAd8=";
};
aarch64-linux = {
cp310 = "sha256-QQgoDYocuQ19aOXJVMNeY7i7mkuhX4jF59oOICVkdxI=";
cp311 = "sha256-oLu5iwsPJaPuB1yhAXHhJg5wtrxpDNUJ7NfOEiivhU0=";
cp312 = "sha256-ZeLOWNPca6o89Fgk2InBlo695WXuVN/YCpivjzGvjko=";
cp313 = "sha256-cZblNY38yCEb6GT0Xm3+SCcgLfKUrzx6dv+PvAgOBSI=";
};
aarch64-darwin = {
cp310 = "sha256-TbkUoKbdYI+knAZpKaEoJ0Wi29c8ruZ9e4D+aEymW90=";
cp311 = "sha256-vT7Ew0J3bdrCOuKxCMZPWTn0F8zEh1kA1YbHyXhGMmk=";
cp312 = "sha256-2LldBH2UdJOAP7hBeuoxIl3KzasVr9x1uKI4kBlJ1Fc=";
cp313 = "sha256-hbRyq2+48RifjO+BkT/ZGyTdabP6fcyn4USCe9kk9sA=";
};
};
in
fetchPypi {
inherit pname version;
format = "wheel";
dist = pyShortVersion;
python = pyShortVersion;
abi = pyShortVersion;
platform = platforms.${stdenv.hostPlatform.system} or { };
sha256 =
hashes.${stdenv.hostPlatform.system}.${pyShortVersion}
or (throw "No hash specified for '${stdenv.hostPlatform.system}.${pyShortVersion}'");
};
nativeBuildInputs = lib.optionals stdenv.hostPlatform.isLinux [
autoPatchelfHook
];
dependencies = [
click
filelock
jsonschema
msgpack
packaging
protobuf
pyyaml
requests
];
optional-dependencies = lib.fix (self: {
adag = self.cgraph;
air = lib.unique (self.data ++ self.serve ++ self.tune ++ self.train);
all = lib.unique (
self.adag
++ self.air
++ self.cgraph
++ self.client
++ self.data
++ self.default
++ self.observability
++ self.rllib
++ self.serve
++ self.serve-async-inference
++ self.serve-grpc
++ self.train
++ self.tune
);
cgraph = [
cupy
];
client = [ grpcio ];
data = [
fsspec
numpy
pandas
pyarrow
];
default = [
aiohttp
aiohttp-cors
colorful
grpcio
opencensus
opentelemetry-exporter-prometheus
opentelemetry-proto
opentelemetry-sdk
prometheus-client
pydantic
py-spy
requests
smart-open
virtualenv
];
llm = lib.unique (
[
async-timeout
hf-transfer
jsonref
jsonschema
meson
ninja
# nixl
pybind11
typer
vllm
]
++ self.data
++ self.serve
++ vllm.optional-dependencies.audio
);
observability = [
memray
];
rllib = lib.unique (
[
dm-tree
gymnasium
lz4
ormsgpack
pyyaml
scipy
]
++ self.tune
);
serve = lib.unique (
[
fastapi
requests
starlette
uvicorn
watchfiles
]
++ self.default
);
serve-async-inference = lib.unique (
[
celery
]
++ self.serve
);
serve-grpc = lib.unique (
[
grpcio
pyopenssl
]
++ self.serve
);
train = lib.unique (
[
pydantic
]
++ self.tune
);
tune = [
fsspec
pandas
pyarrow
requests
tensorboardx
# `import ray.tune` fails without pydantic
# Reported upstream: https://github.com/ray-project/ray/issues/58280
pydantic
];
});
postInstall = ''
chmod +x $out/${python.sitePackages}/ray/core/src/ray/{gcs/gcs_server,raylet/raylet}
'';
pythonImportsCheck = [ "ray" ];
meta = {
description = "Unified framework for scaling AI and Python applications";
homepage = "https://github.com/ray-project/ray";
changelog = "https://github.com/ray-project/ray/releases/tag/ray-${version}";
license = lib.licenses.asl20;
maintainers = with lib.maintainers; [ billhuang ];
sourceProvenance = with lib.sourceTypes; [ binaryNativeCode ];
platforms = [
"aarch64-darwin"
"aarch64-linux"
"x86_64-linux"
];
};
}
|
