88 lines
1.6 KiB
Nix
88 lines
1.6 KiB
Nix
{
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lib,
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buildPythonPackage,
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pythonOlder,
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fetchFromGitHub,
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setuptools,
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wheel,
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google-cloud-storage,
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gymnasium,
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h5py,
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numpy,
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packaging,
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portion,
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rich,
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tqdm,
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typer,
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typing-extensions,
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imageio,
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nbmake,
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pytest,
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pytest-markdown-docs,
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pytestCheckHook,
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}:
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buildPythonPackage rec {
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pname = "minari";
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version = "0.4.3";
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pyproject = true;
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disabled = pythonOlder "3.8";
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src = fetchFromGitHub {
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owner = "Farama-Foundation";
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repo = "Minari";
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rev = "refs/tags/v${version}";
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hash = "sha256-DwuANo0PCb2pPTVST8EwuJHe5HKRV8JIpFBpSqoJNh8=";
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};
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build-system = [
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setuptools
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wheel
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];
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dependencies = [
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google-cloud-storage
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gymnasium
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h5py
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numpy
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packaging
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portion
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rich
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tqdm
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typer
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typing-extensions
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];
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passthru.optional-dependencies = {
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testing = [
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# gymnasium-robotics
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imageio
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nbmake
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pytest
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pytest-markdown-docs
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];
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};
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pythonImportsCheck = [ "minari" ];
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nativeCheckInputs = [ pytestCheckHook ];
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disabledTestPaths = [
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# Require internet access
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"tests/dataset/test_dataset_download.py"
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"tests/test_cli.py"
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];
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meta = with lib; {
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description = "Standard format for offline reinforcement learning datasets, with popular reference datasets and related utilities";
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homepage = "https://github.com/Farama-Foundation/Minari";
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changelog = "https://github.com/Farama-Foundation/Minari/releases/tag/v${version}";
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license = with licenses; [
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asl20
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mit
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];
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maintainers = with maintainers; [ GaetanLepage ];
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mainProgram = "minari";
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};
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}
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