aboutsummaryrefslogtreecommitdiff
path: root/infra/libkookie/nixpkgs/pkgs/development/python-modules/cvxpy/default.nix
blob: 58d06e60d39c4fd76b0bf65122299abcf4fda2c1 (plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
{ lib
, pythonOlder
, buildPythonPackage
, fetchPypi
, cvxopt
, ecos
, multiprocess
, numpy
, osqp
, scipy
, scs
, six
  # Check inputs
, pytestCheckHook
, nose
}:

buildPythonPackage rec {
  pname = "cvxpy";
  version = "1.1.7";

  disabled = pythonOlder "3.5";

  src = fetchPypi {
    inherit pname version;
    sha256 = "330eb76e8369c360b68d9231c6eb350848e373b5952134f9bfebaed1a4c4211f";
  };

  propagatedBuildInputs = [
    cvxopt
    ecos
    multiprocess
    numpy
    osqp
    scipy
    scs
    six
  ];

  checkInputs = [ pytestCheckHook nose ];
  pytestFlagsArray = [ "./cvxpy" ];
  # Disable the slowest benchmarking tests, cuts test time in half
  disabledTests = [
    "test_tv_inpainting"
    "test_diffcp_sdp_example"
  ];

  meta = with lib; {
    description = "A domain-specific language for modeling convex optimization problems in Python.";
    homepage = "https://www.cvxpy.org/";
    downloadPage = "https://github.com/cvxgrp/cvxpy/releases";
    changelog = "https://github.com/cvxgrp/cvxpy/releases/tag/v${version}";
    license = licenses.asl20;
    maintainers = with maintainers; [ drewrisinger ];
  };
}