STY PEP8 for math.py (#1326)

Author: springcoil

pymc3/math.py

@@ -1,22 +1,26 @@
 from __future__ import division
-from theano.tensor import constant, flatten, zeros_like, ones_like, stack, concatenate, sum, prod, lt, gt, le, ge, eq, neq, switch, clip, where, and_, or_, abs_
-
-from theano.tensor import exp, log, cos, sin, tan, cosh, sinh, tanh, sqr, sqrt, erf, erfinv, dot
+from theano.tensor import constant, flatten, zeros_like, ones_like, stack, concatenate, sum, prod, lt, gt, le, ge, eq, \
+    neq, switch, clip, where, and_, or_, abs_
+from theano.tensor import exp, log, cos, sin, tan, cosh, sinh, \
+    tanh, sqr, sqrt, erf, erfinv, dot
 from theano.tensor import maximum, minimum, sgn, ceil, floor
-
-from theano.tensor.nlinalg import det, matrix_inverse, extract_diag, matrix_dot, trace
+from theano.tensor.nlinalg import det, matrix_inverse, \
+    extract_diag, matrix_dot, trace
 from theano.tensor.nnet import sigmoid
 import theano
 import theano.tensor as tt
 import sys
 
+
 def logsumexp(x, axis=None):
-     # Adapted from https://github.com/Theano/Theano/issues/1563
-     x_max = tt.max(x, axis=axis, keepdims=True)
-     return tt.log(tt.sum(tt.exp(x - x_max), axis=axis, keepdims=True)) + x_max
+    # Adapted from https://github.com/Theano/Theano/issues/1563
+    x_max = tt.max(x, axis=axis, keepdims=True)
+    return tt.log(tt.sum(tt.exp(x - x_max), axis=axis, keepdims=True)) + x_max
+
 
 def invlogit(x, eps=sys.float_info.epsilon):
     return (1 - 2 * eps) / (1 + tt.exp(-x)) + eps
 
+
 def logit(p):
-    return tt.log(p/(1-p))
+    return tt.log(p / (1 - p))