168 lines
2.6 KiB
Nix
168 lines
2.6 KiB
Nix
{ aiohttp
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, aiohttp-cors
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, aiorwlock
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, aiosignal
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, attrs
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, autoPatchelfHook
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, buildPythonPackage
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, fetchPypi
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, click
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, cloudpickle
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, colorama
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, colorful
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, cython
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, dm-tree
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, fastapi
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, filelock
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, frozenlist
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, fsspec
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, gpustat
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, grpcio
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, gym
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, jsonschema
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, lib
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, lz4
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, matplotlib
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, msgpack
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, numpy
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, opencensus
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, packaging
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, pandas
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, py-spy
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, prometheus-client
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, psutil
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, pyarrow
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, pydantic
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, python
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, pythonAtLeast
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, pythonOlder
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, pythonRelaxDepsHook
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, pyyaml
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, requests
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, scikit-image
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, scipy
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, setproctitle
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, smart-open
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, starlette
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, tabulate
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, tensorboardx
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, uvicorn
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, virtualenv
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}:
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let
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pname = "ray";
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version = "2.10.0";
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in
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buildPythonPackage rec {
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inherit pname version;
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format = "wheel";
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disabled = pythonOlder "3.10" || pythonAtLeast "3.12";
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src =
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let
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pyShortVersion = "cp${builtins.replaceStrings ["."] [""] python.pythonVersion}";
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binary-hash = (import ./binary-hashes.nix)."${pyShortVersion}" or {};
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in
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fetchPypi ({
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inherit pname version format;
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dist = pyShortVersion;
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python = pyShortVersion;
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abi = pyShortVersion;
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platform = "manylinux2014_x86_64";
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} // binary-hash);
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passthru.optional-dependencies = rec {
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data-deps = [
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pandas
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pyarrow
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fsspec
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];
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serve-deps = [
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aiorwlock
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fastapi
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pandas
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starlette
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uvicorn
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];
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tune-deps = [
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tabulate
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tensorboardx
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];
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rllib-deps = tune-deps ++ [
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dm-tree
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gym
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lz4
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matplotlib
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scikit-image
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pyyaml
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scipy
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];
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air-deps = data-deps ++ serve-deps ++ tune-deps ++ rllib-deps;
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};
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nativeBuildInputs = [
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autoPatchelfHook
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pythonRelaxDepsHook
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];
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pythonRelaxDeps = [
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"click"
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"grpcio"
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"protobuf"
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"virtualenv"
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];
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propagatedBuildInputs = [
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attrs
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aiohttp
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aiohttp-cors
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aiosignal
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click
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cloudpickle
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colorama
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colorful
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cython
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filelock
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frozenlist
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gpustat
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grpcio
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jsonschema
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msgpack
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numpy
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opencensus
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packaging
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py-spy
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prometheus-client
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psutil
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pydantic
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pyyaml
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requests
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setproctitle
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smart-open
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virtualenv
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];
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postInstall = ''
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chmod +x $out/${python.sitePackages}/ray/core/src/ray/{gcs/gcs_server,raylet/raylet}
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'';
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pythonImportsCheck = [
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"ray"
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];
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meta = with lib; {
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description = "A unified framework for scaling AI and Python applications";
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homepage = "https://github.com/ray-project/ray";
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changelog = "https://github.com/ray-project/ray/releases/tag/ray-${version}";
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license = licenses.asl20;
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maintainers = with maintainers; [ billhuang ];
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platforms = [ "x86_64-linux" ];
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};
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}
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