RFC: Fix PEP8 errors

Author: oyamad

quantecon/optimize/nelder_mead.py

@@ -232,7 +232,8 @@ def _nelder_mead_algorithm(fun, vertices, bounds=np.array([[], []]).T,
 
         # Step 3: Expansion
         elif f_r < f_val[best_val_idx]:
-            temp = χ * (x_r - x_bar)  # https://github.com/QuantEcon/QuantEcon.py/issues/530
+            # https://github.com/QuantEcon/QuantEcon.py/issues/530
+            temp = χ * (x_r - x_bar)
             x_e = x_bar + temp
             f_e = _neg_bounded_fun(fun, bounds, x_e, args=args)
             if f_e < f_r:  # Greedy minimization

quantecon/quad.py

@@ -21,6 +21,7 @@
            'qnwsimp', 'qnwtrap', 'qnwunif', 'quadrect', 'qnwbeta',
            'qnwgamma']
 
+
 @vectorize(nopython=True)
 def gammaln(x):
     return math.lgamma(x)
@@ -681,6 +682,7 @@ def _make_multidim_func(one_d_func, n, *args):
     nodes = gridmake(*nodes)
     return nodes, weights
 
+
 @jit(nopython=True)
 def _qnwcheb1(n, a, b):
     """
@@ -729,6 +731,7 @@ def _qnwcheb1(n, a, b):
 
     return nodes, weights
 
+
 @jit(nopython=True)
 def _qnwlege1(n, a, b):
     """
@@ -784,9 +787,10 @@ def _qnwlege1(n, a, b):
             p2 = p1
             p1 = ((2 * j - 1) * z * p2 - (j - 1) * p3) / j
 
+        # https://github.com/QuantEcon/QuantEcon.py/issues/530
         top = n * (z * p1 - p2)
         bottom = z ** 2 - 1.0
-        pp = top / bottom  # https://github.com/QuantEcon/QuantEcon.py/issues/530
+        pp = top / bottom
         z1 = z.copy()
         z = z1 - p1/pp
         if np.all(np.abs(z - z1) < 1e-14):
@@ -804,6 +808,7 @@ def _qnwlege1(n, a, b):
 
     return nodes, weights
 
+
 @jit(nopython=True)
 def _qnwnorm1(n):
     """
@@ -882,6 +887,7 @@ def _qnwnorm1(n):
 
     return nodes, weights
 
+
 @jit(nopython=True)
 def _qnwsimp1(n, a, b):
     """
@@ -930,6 +936,7 @@ def _qnwsimp1(n, a, b):
 
     return nodes, weights
 
+
 @jit(nopython=True)
 def _qnwtrap1(n, a, b):
     """
@@ -977,6 +984,7 @@ def _qnwtrap1(n, a, b):
 
     return nodes, weights
 
+
 @jit(nopython=True)
 def _qnwbeta1(n, a=1.0, b=1.0):
     """
@@ -1093,13 +1101,14 @@ def _qnwbeta1(n, a=1.0, b=1.0):
         weights[i] = temp/(pp*p2)
 
     nodes = (1-nodes)/2
-    weights = weights * math.exp(gammaln(a+n) + gammaln(b+n)
-                                 - gammaln(n+1) - gammaln(n+ab+1))
-    weights = weights / (2*math.exp(gammaln(a+1) + gammaln(b+1)
-                         - gammaln(ab+2)))
+    weights = weights * math.exp(gammaln(a+n) + gammaln(b+n) -
+                                 gammaln(n+1) - gammaln(n+ab+1))
+    weights = weights / (2*math.exp(gammaln(a+1) + gammaln(b+1) -
+                         gammaln(ab+2)))
 
     return nodes, weights
 
+
 @jit(nopython=True)
 def _qnwgamma1(n, a=1.0, b=1.0, tol=3e-14):
     """