Using a bleed version of the conda environment, meas_modelfit test TruncatedGaussianTestCase is failing

Error Message

AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16)

Stacktrace

self = <test_truncatedGaussian.TruncatedGaussianTestCase testMethod=test2d> def test2d(self): if scipy is None: return for i in range(5): x = numpy.linspace(-1, 1, 5) model = numpy.zeros((x.size, 2), dtype=float) model[:, 0] = x model[:, 1] = x**2 + x data = numpy.random.randn(x.size) + model[:, 0]*0.9 + model[:, 1]*1.1 q0 = 0.5*float(numpy.dot(data, data)) gradient = -numpy.dot(model.transpose(), data) hessian = numpy.dot(model.transpose(), model) sigma = numpy.linalg.inv(hessian) > self.assertFloatsAlmostEqual(numpy.linalg.inv(sigma), hessian) tests/test_truncatedGaussian.py:161: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ ../../stack/Linux64/utils/16.0-18-g0a50484+1/python/lsst/utils/tests.py:735: in assertFloatsAlmostEqual testCase.assertFalse(failed, msg="\n".join(errMsg)) E AssertionError: True is not false : 1/4 elements differ with rtol=2.220446049250313e-16, atol=2.220446049250313e-16 E 2.500000000000001 != 2.5 (diff=8.881784197001252e-16/2.500000000000001=3.5527136788004996e-16)
{{  }}
{{  }}