text: import unittest
  from pythran.tests import TestEnv
  import numpy
  from pythran.typing import NDArray
  
  
  @TestEnv.module
  class TestNumpyLinalg(TestEnv):
  
      def test_linalg_norm0(self):
          self.run_test("def linalg_norm0(x): from numpy.linalg import norm ; return norm(x)", numpy.arange(6.), linalg_norm0=[NDArray[float,:]])
  
      def test_linalg_norm1(self):
          self.run_test("def linalg_norm1(x): from numpy.linalg import norm ; return norm(x)", numpy.arange(6.).reshape(2,3), linalg_norm1=[NDArray[float,:,:]])
  
      def test_linalg_norm2(self):
          self.run_test("def linalg_norm2(x): from numpy.linalg import norm ; from numpy import inf ; return norm(x, inf)", numpy.arange(6.), linalg_norm2=[NDArray[float,:]])
  
      def test_linalg_norm3(self):
          self.run_test("def linalg_norm3(x): from numpy.linalg import norm ; from numpy import inf ; return norm(x, -inf)", numpy.arange(6.), linalg_norm3=[NDArray[float,:]])
  
      def test_linalg_norm4(self):
          self.run_test("def linalg_norm4(x): from numpy.linalg import norm ; from numpy import inf ; return norm(x, 0)", numpy.arange(6.), linalg_norm4=[NDArray[float,:]])
  
      def test_linalg_norm5(self):
          self.run_test("def linalg_norm5(x): from numpy.linalg import norm ; from numpy import inf ; return norm(x, ord=inf, axis=1)", (numpy.arange(9) - 4).reshape((3,3)), linalg_norm5=[NDArray[int,:,:]])
  
      def test_linalg_norm6(self):
          self.run_test("def linalg_norm6(x): from numpy.linalg import norm ; from numpy import inf ; return norm(x, ord=5, axis=(0,))", (numpy.arange(9) - 4).reshape((3,3)), linalg_norm6=[NDArray[int,:,:]])
  
      def test_linalg_norm7(self):
          self.run_test("def linalg_norm7(x): from numpy.linalg import norm ; return norm(x)", numpy.arange(6).reshape(2,3), linalg_norm7=[NDArray[int,:,:]])
  
      def test_linalg_norm_pydoc(self):
          self.run_test('''
              def linalg_norm_pydoc(x):
                        import numpy as np
                        from numpy import linalg as LA
                        a = np.arange(9) - x
                        b = a.reshape((3, 3))
                        c = np.array([[ 1, 2, 3], [-1, 1, x]])
                        return (LA.norm(a), LA.norm(b),
                                LA.norm(a, np.Inf), #LA.norm(b, np.inf),
                                LA.norm(a, -np.inf), #LA.norm(b, -np.inf),
                                LA.norm(a, 1), #LA.norm(b, 1),
                                LA.norm(a, -1), #LA.norm(b, -1),
                                LA.norm(a, 2), #LA.norm(b, 2),
                                LA.norm(a, -2), #LA.norm(b, -2),
                                LA.norm(a, 3), LA.norm(a, -3),
                                LA.norm(c, axis=0),
                                LA.norm(c, axis=1),
                                LA.norm(c, ord=1, axis=1),
                       )''',
                        10, linalg_norm_pydoc=[int])
  