deleted: theano/tensor/tests/test_fill_diagonal_offset.py

theano/tensor/tests/test_fill_diagonal_offset.py

-import numpy as np
-import numpy
-import unittest
-import pdb
-import theano
-from theano.tests import unittest_tools as utt
-
-from theano.tensor.extra_ops import (CumsumOp, cumsum, CumprodOp, cumprod,
-                                     BinCountOp, bincount, DiffOp, diff,
-                                     squeeze, RepeatOp, repeat, Bartlett, bartlett,
-                                     FillDiagonal, fill_diagonal, FillDiagonalOffset, 
-                                     fill_diagonal_offset)
-from theano import tensor as T
-from theano import config, tensor, function
-
-
-numpy_ver = [int(n) for n in numpy.__version__.split('.')[:2]]
-numpy_16 = bool(numpy_ver >= [1, 6])
-
-
-class TestFillDiagonalOffset(utt.InferShapeTester):
-
-    rng = numpy.random.RandomState(43)
-
-    def setUp(self):
-        super(TestFillDiagonalOffset, self).setUp()
-        self.op_class = FillDiagonalOffset
-        self.op = fill_diagonal_offset
-
-    def test_perform(self):
-        x = tensor.matrix()
-        y = tensor.scalar()
-        z = tensor.scalar()
-
-        test_offset = numpy.array(numpy.random.randint(0,5),
-        	dtype = config.floatX)
-
-        f = function([x, y, z], fill_diagonal_offset(x, y, z))
-        for shp in [(8, 8), (5, 8), (8, 5)]:
-            a = numpy.random.rand(*shp).astype(config.floatX)
-            val = numpy.cast[config.floatX](numpy.random.rand())
-            out = f(a, val, test_offset)
-            # We can't use numpy.fill_diagonal as it is bugged.
-            assert numpy.allclose(numpy.diag(out, test_offset), val)
-            #pdb.set_trace()
-            assert (out == val).sum() == min(a.shape)
-
-    def test_gradient(self):
-    	test_offset = numpy.array(numpy.random.randint(0,5),
-        				dtype = config.floatX)
-        utt.verify_grad(fill_diagonal_offset, [numpy.random.rand(5, 8),
-                                        numpy.random.rand(),
-                                        test_offset],
-                        n_tests=1, rng=TestFillDiagonalOffset.rng)
-        utt.verify_grad(fill_diagonal_offset, [numpy.random.rand(8, 5),
-                                        numpy.random.rand(),
-                                        test_offset],
-                        n_tests=1, rng=TestFillDiagonalOffset.rng)
-
-    def test_infer_shape(self):
-        x = tensor.dmatrix()
-        y = tensor.dscalar()
-        z = tensor.dscalar()
-        test_offset = numpy.array(numpy.random.randint(0,5),
-        				dtype = config.floatX)
-        self._compile_and_check([x, y, z], [self.op(x, y, z)],
-                                [numpy.random.rand(8, 5),
-                                 numpy.random.rand(),
-                                 test_offset],
-                                self.op_class)
-
-if __name__ == '__main__':
-    unittest.main()
\ No newline at end of file