old_contents: from __future__ import division
  
  import sympy
  
  from symfit import Variable, Parameter
  from symfit.distributions import Gaussian, Exp
  
  
  def test_gaussian():
      """
      Make sure that symfit.distributions.Gaussians produces the expected
      sympy expression.
      """
      x0 = Parameter()
      sig = Parameter(positive=True)
      x = Variable()
  
      new = sympy.exp(-(x - x0)**2/(2*sig**2))/sympy.sqrt((2*sympy.pi*sig**2))
      assert isinstance(new, sympy.Expr)
      g = Gaussian(x, x0, sig)
      assert issubclass(g.__class__, sympy.Expr)
      assert new == g
  
      # A pdf should always integrate to 1 on its domain
      assert sympy.integrate(g, (x, -sympy.oo, sympy.oo)) == 1
  
  
  def test_exp():
      """
      Make sure that symfit.distributions.Exp produces the expected
      sympy expression.
      """
      l = Parameter(positive=True)
      x = Variable()
  
      new = l * sympy.exp(- l * x)
      assert isinstance(new, sympy.Expr)
      e = Exp(x, l)
      assert issubclass(e.__class__, sympy.Expr)
      assert new == e
  
      # A pdf should always integrate to 1 on its domain
      assert sympy.integrate(e, (x, 0, sympy.oo)) == 1
  
new_contents: from __future__ import division
  
  import sympy
  
  from symfit import Variable, Parameter
  from symfit.distributions import Gaussian, Exp
  
  
  def test_gaussian():
      """
      Make sure that symfit.distributions.Gaussians produces the expected
      sympy expression.
      """
      x0 = Parameter('x0')
      sig = Parameter('sig', positive=True)
      x = Variable('x')
  
      new = sympy.exp(-(x - x0)**2/(2*sig**2))/sympy.sqrt((2*sympy.pi*sig**2))
      assert isinstance(new, sympy.Expr)
      g = Gaussian(x, x0, sig)
      assert issubclass(g.__class__, sympy.Expr)
      assert new == g
  
      # A pdf should always integrate to 1 on its domain
      assert sympy.integrate(g, (x, -sympy.oo, sympy.oo)) == 1
  
  
  def test_exp():
      """
      Make sure that symfit.distributions.Exp produces the expected
      sympy expression.
      """
      l = Parameter('l', positive=True)
      x = Variable('x')
  
      new = l * sympy.exp(- l * x)
      assert isinstance(new, sympy.Expr)
      e = Exp(x, l)
      assert issubclass(e.__class__, sympy.Expr)
      assert new == e
  
      # A pdf should always integrate to 1 on its domain
      assert sympy.integrate(e, (x, 0, sympy.oo)) == 1
  
subject: Add names to Parameters/Variables to surpress DepricationWarnings