python310Packages.pyro-ppl: move extras dependencies
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@ -1,29 +1,62 @@
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{ buildPythonPackage, fetchPypi, lib, pytorch, contextlib2
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, graphviz, networkx, six, opt-einsum, tqdm, pyro-api }:
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{ lib
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, buildPythonPackage
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, fetchPypi
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, graphviz
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, jupyter
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, matplotlib
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, networkx
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, opt-einsum
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, pandas
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, pillow
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, pyro-api
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, pythonOlder
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, pytorch
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, scikit-learn
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, seaborn
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, torchvision
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, tqdm
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, wget
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}:
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buildPythonPackage rec {
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version = "1.8.1";
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pname = "pyro-ppl";
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version = "1.8.1";
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format = "setuptools";
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disabled = pythonOlder "3.7";
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src = fetchPypi {
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inherit version pname;
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sha256 = "sha256-18BJ6y50haYStN2ZwkwwnMhgx8vGsZczhwNPVDbRyNY=";
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hash = "sha256-18BJ6y50haYStN2ZwkwwnMhgx8vGsZczhwNPVDbRyNY=";
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};
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propagatedBuildInputs = [
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pyro-api
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pytorch
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contextlib2
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# TODO(tom): graphviz pulls in a lot of dependencies - make
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# optional when some time to figure out how.
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graphviz
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networkx
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six
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opt-einsum
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tqdm
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];
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passthru.optional-dependencies = {
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extras = [
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graphviz
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jupyter
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# lap
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matplotlib
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pandas
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pillow
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scikit-learn
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seaborn
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torchvision
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# visdom
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wget
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];
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};
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# pyro not shipping tests do simple smoke test instead
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doCheck = false;
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pythonImportsCheck = [
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"pyro"
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"pyro.distributions"
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@ -31,12 +64,10 @@ buildPythonPackage rec {
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"pyro.optim"
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];
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doCheck = false;
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meta = {
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description = "A Python library for probabilistic modeling and inference";
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meta = with lib; {
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description = "Library for probabilistic modeling and inference";
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homepage = "http://pyro.ai";
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license = lib.licenses.mit;
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maintainers = with lib.maintainers; [ teh georgewhewell ];
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license = licenses.asl20;
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maintainers = with maintainers; [ teh georgewhewell ];
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};
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}
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