def test_log_pdf_2n_2d(self):
mu = asarray([0, 1], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[1, 1], [0, 1]], dtype=numpy.bool8)
result = dist.log_pdf(X)
expected = zeros(2) + numpy.nan
def test_log_pdf_returned_array_dimension_multiple_X_2d(self):
n = 2
mu = asarray([0, 1], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[1, 0], [0, 0]], dtype=numpy.bool8)
self.assertEqual(dist.log_pdf(X).shape, (n, ))
def test_log_pdf_1n_1d_del(self):
mu = asarray([1], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[0]], dtype=numpy.bool8)
result = dist.log_pdf(X)
expected = zeros(1) + numpy.nan
def test_log_pdf_2n_2d(self):
mu = asarray([0, 1], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[1, 1], [0, 1]], dtype=numpy.bool8)
result = dist.log_pdf(X)
expected = zeros(2) + numpy.nan
def test_log_pdf_returned_array_dimension_1d_X(self):
n = 1
mu = asarray([0], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[0]], dtype=numpy.bool8)
self.assertEqual(dist.log_pdf(X).shape, (n, ))
def test_log_pdf_1n_1d_del(self):
mu = asarray([1], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[0]], dtype=numpy.bool8)
result = dist.log_pdf(X)
expected = zeros(1) + numpy.nan
def test_log_pdf_returned_array_dimension_multiple_X_2d(self):
n = 2
mu = asarray([0, 1], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[1, 0], [0, 0]], dtype=numpy.bool8)
self.assertEqual(dist.log_pdf(X).shape, (n,))
def test_log_pdf_returned_array_dimension_1d_X(self):
n = 1
mu = asarray([0], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[0]], dtype=numpy.bool8)
self.assertEqual(dist.log_pdf(X).shape, (n,))
def test_log_pdf_type(self):
mu = asarray([0], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[0]], dtype=numpy.bool8)
self.assertEqual(type(dist.log_pdf(X)), numpy.ndarray)
def test_log_pdf_type(self):
mu = asarray([0], dtype=numpy.bool8)
spread = .5
dist = AddDelSwapProposal(mu, spread)
X = asarray([[0]], dtype=numpy.bool8)
self.assertEqual(type(dist.log_pdf(X)), numpy.ndarray)
