renaming stuff is hard

demos/bernoulli_demo.py

@@ -50,7 +50,7 @@ if __name__ == '__main__':
     A = ift.create_power_operator(harmonic_space, sqrtpspec)
 
     # Set up a sky model
-    sky = ift.positive_tanh(HT(A))
+    sky = ift.sigmoid(HT(A))
 
     GR = ift.GeometryRemover(position_space)
     # Set up instrumental response

nifty5/sugar.py

@@ -37,7 +37,9 @@ from .operators.distributors import PowerDistributor
 __all__ = ['PS_field', 'power_analyze', 'create_power_operator',
            'create_harmonic_smoothing_operator', 'from_random',
            'full', 'from_global_data', 'from_local_data',
-           'makeDomain', 'sqrt', 'exp', 'log', 'tanh', 'positive_tanh',
+           'makeDomain', 'sqrt', 'exp', 'log', 'tanh', 'sigmoid',
+           'sin', 'cos', 'tan', 'sinh', 'cosh',
+           'absolute', 'one_over', 'hardplus', 'sinc',
            'conjugate', 'get_signal_variance', 'makeOp', 'domain_union',
            'get_default_codomain']
 

test/test_energies/test_consistency.py

@@ -112,7 +112,7 @@ class Energy_Tests(unittest.TestCase):
     def testBernoulli(self, space, seed):
         model = self.make_model(
             space_key='s1', space=space, seed=seed)['s1']
-        model = model.positive_tanh()
+        model = model.sigmoid()
         d = np.random.binomial(1, 0.1, size=space.shape)
         d = ift.Field.from_global_data(space, d)
         energy = ift.BernoulliEnergy(d)

test/test_models/test_model_gradients.py

@@ -76,7 +76,7 @@ class Model_Tests(unittest.TestCase):
         model = ift.ScalingOperator(2.456, space)(select_s1*select_s2)
         pos = ift.from_random("normal", dom)
         ift.extra.check_value_gradient_consistency(model, pos, ntries=20)
-        model = ift.positive_tanh(ift.ScalingOperator(2.456, space)(
+        model = ift.sigmoid(ift.ScalingOperator(2.456, space)(
             select_s1*select_s2))
         pos = ift.from_random("normal", dom)
         ift.extra.check_value_gradient_consistency(model, pos, ntries=20)