def test_all(self):
dims = [(),(1,),(1,1)]
for dim1 in dims:
for dim2 in dims:
arg1 = rand(*dim1)
arg2 = rand(*dim2)
c1 = dot(arg1, arg2)
c2 = dot_(arg1, arg2)
assert (c1.shape == c2.shape)
assert_almost_equal(c1, c2, decimal=self.N)
def check_all(self):
dims = [(),(1,),(1,1)]
for dim1 in dims:
for dim2 in dims:
arg1 = rand(*dim1)
arg2 = rand(*dim2)
c1 = dot(arg1, arg2)
c2 = dot_(arg1, arg2)
assert (c1.shape == c2.shape)
assert_almost_equal(c1, c2, decimal=self.N)
def check_columnvect(self):
b1 = ones((3,1)).transpose()
b2 = [6.2]
c1 = dot(b2,b1)
c2 = dot_(b2,b1)
assert_almost_equal(c1, c2, decimal=self.N)
def test_columnvect2(self):
b1 = ones((3,1)).transpose()
b2 = [6.2]
c1 = dot(b2,b1)
c2 = dot_(b2,b1)
assert_almost_equal(c1, c2, decimal=self.N)
def check_vecvecouter(self):
b1, b3 = self.b1, self.b3
c1 = dot(b1, b3)
c2 = dot_(b1, b3)
assert_almost_equal(c1, c2, decimal=self.N)
def check_vecvecinner(self):
b1, b3 = self.b1, self.b3
c1 = dot(b3, b1)
c2 = dot_(b3, b1)
assert_almost_equal(c1, c2, decimal=self.N)
def check_vecmat2(self):
b3, A = self.b3, self.A
c1 = dot(b3, A.transpose())
c2 = dot_(b3, A.transpose())
assert_almost_equal(c1, c2, decimal=self.N)
def check_matvec2(self):
A, b2 = self.A, self.b2
c1 = dot(A, b2)
c2 = dot_(A, b2)
assert_almost_equal(c1, c2, decimal=self.N)
def check_matmat(self):
A = self.A
c1 = dot(A.transpose(), A)
c2 = dot_(A.transpose(), A)
assert_almost_equal(c1, c2, decimal=self.N)
def test_vecmat(self):
A, b4 = self.A, self.b4
c1 = dot(b4, A)
c2 = dot_(b4, A)
assert_almost_equal(c1, c2, decimal=self.N)
def test_matvec2(self):
A, b2 = self.A, self.b2
c1 = dot(A, b2)
c2 = dot_(A, b2)
assert_almost_equal(c1, c2, decimal=self.N)
def test_matvec(self):
A, b1 = self.A, self.b1
c1 = dot(A, b1)
c2 = dot_(A, b1)
assert_almost_equal(c1, c2, decimal=self.N)
def test_matmat(self):
A = self.A
c1 = dot(A.transpose(), A)
c2 = dot_(A.transpose(), A)
assert_almost_equal(c1, c2, decimal=self.N)
def test_vecscalar2(self):
b1 = rand(8,1)
b2 = rand(1,1)
c1 = dot(b1,b2)
c2 = dot_(b1,b2)
assert_almost_equal(c1, c2, decimal=self.N)
def test_vecscalar(self):
b1 = rand(1,1)
b2 = rand(1,8)
c1 = dot(b1,b2)
c2 = dot_(b1,b2)
assert_almost_equal(c1, c2, decimal=self.N)
def check_vecscalar2(self):
b1 = rand(8,1)
b2 = rand(1,1)
c1 = dot(b1,b2)
c2 = dot_(b1,b2)
assert_almost_equal(c1, c2, decimal=self.N)
def test_vecmat2(self):
b3, A = self.b3, self.A
c1 = dot(b3, A.transpose())
c2 = dot_(b3, A.transpose())
assert_almost_equal(c1, c2, decimal=self.N)
def test_vecmat3(self):
A, b4 = self.A, self.b4
c1 = dot(A.transpose(),b4)
c2 = dot_(A.transpose(),b4)
assert_almost_equal(c1, c2, decimal=self.N)
def check_matvec(self):
A, b1 = self.A, self.b1
c1 = dot(A, b1)
c2 = dot_(A, b1)
assert_almost_equal(c1, c2, decimal=self.N)
def test_vecvecouter(self):
b1, b3 = self.b1, self.b3
c1 = dot(b1, b3)
c2 = dot_(b1, b3)
assert_almost_equal(c1, c2, decimal=self.N)
def check_vecmat(self):
A, b4 = self.A, self.b4
c1 = dot(b4, A)
c2 = dot_(b4, A)
assert_almost_equal(c1, c2, decimal=self.N)
def test_vecvecinner(self):
b1, b3 = self.b1, self.b3
c1 = dot(b3, b1)
c2 = dot_(b3, b1)
assert_almost_equal(c1, c2, decimal=self.N)
def check_vecmat3(self):
A, b4 = self.A, self.b4
c1 = dot(A.transpose(),b4)
c2 = dot_(A.transpose(),b4)
assert_almost_equal(c1, c2, decimal=self.N)
def test_columnvect1(self):
b1 = ones((3,1))
b2 = [5.3]
c1 = dot(b1,b2)
c2 = dot_(b1,b2)
assert_almost_equal(c1, c2, decimal=self.N)
def check_columnvect(self):
b1 = ones((3,1))
b2 = [5.3]
c1 = dot(b1,b2)
c2 = dot_(b1,b2)
assert_almost_equal(c1, c2, decimal=self.N)
def check_vecscalar(self):
b1 = rand(1,1)
b2 = rand(1,8)
c1 = dot(b1,b2)
c2 = dot_(b1,b2)
assert_almost_equal(c1, c2, decimal=self.N)
