115 lines
1.9 KiB
Nix
115 lines
1.9 KiB
Nix
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{
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lib,
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buildPythonPackage,
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fetchFromGitHub,
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# build-system
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hatchling,
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# dependencies
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attrs,
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boto3,
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cloudpickle,
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docker,
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google-pasta,
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importlib-metadata,
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jsonschema,
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numpy,
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packaging,
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pandas,
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pathos,
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platformdirs,
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protobuf,
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psutil,
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pyyaml,
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requests,
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sagemaker-core,
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sagemaker-mlflow,
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schema,
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smdebug-rulesconfig,
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tblib,
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tqdm,
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urllib3,
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# optional-dependencies
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scipy,
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accelerate,
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}:
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buildPythonPackage rec {
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pname = "sagemaker";
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version = "2.232.3";
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pyproject = true;
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src = fetchFromGitHub {
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owner = "aws";
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repo = "sagemaker-python-sdk";
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rev = "refs/tags/v${version}";
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hash = "sha256-6kGxmgkR/1ih2V49C9aEUBBCJS6s1Jbev80FDnJtHFg=";
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};
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build-system = [
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hatchling
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];
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pythonRelaxDeps = [
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"attrs"
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"boto3"
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"cloudpickle"
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"importlib-metadata"
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"protobuf"
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];
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dependencies = [
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attrs
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boto3
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cloudpickle
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docker
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google-pasta
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importlib-metadata
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jsonschema
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numpy
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packaging
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pandas
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pathos
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platformdirs
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protobuf
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psutil
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pyyaml
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requests
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sagemaker-core
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sagemaker-mlflow
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schema
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smdebug-rulesconfig
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tblib
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tqdm
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urllib3
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];
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doCheck = false; # many test dependencies are not available in nixpkgs
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pythonImportsCheck = [
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"sagemaker"
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"sagemaker.lineage.visualizer"
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];
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optional-dependencies = {
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local = [
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urllib3
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docker
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pyyaml
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];
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scipy = [ scipy ];
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huggingface = [ accelerate ];
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# feature-processor = [ pyspark sagemaker-feature-store-pyspark ]; # not available in nixpkgs
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};
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meta = {
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description = "Library for training and deploying machine learning models on Amazon SageMaker";
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homepage = "https://github.com/aws/sagemaker-python-sdk/";
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changelog = "https://github.com/aws/sagemaker-python-sdk/blob/v${version}/CHANGELOG.md";
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license = lib.licenses.asl20;
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maintainers = with lib.maintainers; [ nequissimus ];
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};
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}
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