added scipy.stats.chi2.sf op

theano/tensor/basic.py

@@ -3260,6 +3260,11 @@ def gammaln(a):
 def psi(a):
     """derivative of log gamma function"""
 
+@_scal_elemwise
+def chi2sf(x, k):
+    """chi squared survival function"""
+
+
 
 @_scal_elemwise_with_nfunc('real', 1, -1)
 def real(z):

theano/tensor/inplace.py

@@ -229,6 +229,10 @@ def gammaln_inplace(a):
 def psi_inplace(a):
     """derivative of log gamma function"""
 
+@_scal_inplace
+def chi2sf_inplace(x, k):
+    """chi squared survival function"""
+
 @_scal_inplace
 def second_inplace(a):
     """Fill `a` with `b`"""

theano/tensor/tests/test_basic.py

@@ -52,6 +52,7 @@ imported_scipy_special = False
 mode_no_scipy = get_default_mode()
 try:
     import scipy.special
+    import scipy.stats
     imported_scipy_special = True
 except ImportError:
     if config.mode == "FAST_COMPILE":
@@ -1419,6 +1420,7 @@ if imported_scipy_special:
     expected_gamma = scipy.special.gamma
     expected_gammaln = scipy.special.gammaln
     expected_psi = scipy.special.psi
+    expected_chi2sf = scipy.stats.chi2.sf
     skip_scipy = False
 else:
     expected_erf = []
@@ -1428,6 +1430,7 @@ else:
     expected_gamma = []
     expected_gammaln = []
     expected_psi = []
+    expected_chi2sf = []
     skip_scipy = "scipy is not present"
 
 ErfTester = makeBroadcastTester(
@@ -1547,6 +1550,32 @@ PsiInplaceTester = makeBroadcastTester(
     inplace=True,
     skip=skip_scipy)
 
+
+'''
+#chi2sf takes two inputs, a value (x) and a degrees of freedom (k).
+# not sure how to deal with that here...
+    
+_good_broadcast_unary_psi = dict(
+     normal=(rand_ranged(1, 10, (2, 3)),),
+     empty=(numpy.asarray([]),),)
+
+Chi2SFTester = makeBroadcastTester(
+    op=tensor.chi2sf,
+    expected=expected_chi2sf,
+    good=_good_broadcast_unary_chi2sf,
+    eps=2e-10,
+    mode=mode_no_scipy,
+    skip=skip_scipy)
+Chi2SFInplaceTester = makeBroadcastTester(
+   op=inplace.chi2sf_inplace,
+   expected=expected_chi2sf,
+   good=_good_broadcast_unary_chi2sf,
+   eps=2e-10,
+   mode=mode_no_scipy,
+   inplace=True,
+   skip=skip_scipy)
+'''
+
 ZerosLikeTester = makeBroadcastTester(
         op=tensor.zeros_like,
         expected=numpy.zeros_like,