diff --git a/tensorflow/python/ops/math_ops.py b/tensorflow/python/ops/math_ops.py
index 6b9b87f689d..84a72f1438a 100644
--- a/tensorflow/python/ops/math_ops.py
+++ b/tensorflow/python/ops/math_ops.py
@@ -535,7 +535,7 @@ _mul.__doc__ = (
 def subtract(x, y, name=None):
   """Returns x - y element-wise.
 
-  *Note*: Subtract supports broadcasting. More about broadcasting 
+  *Note*: Subtract supports broadcasting. More about broadcasting
   [here](https://numpy.org/doc/stable/user/basics.broadcasting.html)
   
   Both input and output have a range `(-inf, inf)`.
@@ -549,9 +549,9 @@ def subtract(x, y, name=None):
   array([-4. , -2. ,  1.3, 17.9, -inf], dtype=float32)>
 
   Args:
-    x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`, 
-    `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, 
-    `complex128`, `string`.
+    x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`,
+    `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`,
+    `complex64`, `complex128`, `string`.
     y: A `Tensor`. Must have the same type as x.
     name: A name for the operation (optional).
   Returns:
@@ -4953,17 +4953,18 @@ def rsqrt(x, name=None):
   return gen_math_ops.rsqrt(x, name)
 
 
-@tf_export("math.add", v1=["math.add","add"])
+@tf_export("math.add", v1=["math.add", "add"])
 @deprecation.deprecated_endpoints("add")
 @dispatch.add_dispatch_support
-def add(x,y,name=None):
+def add(x, y, name=None):
   """Returns x + y element-wise.
 
   *NOTE*: `Add` supports broadcasting. `AddN` does not. More about broadcasting
   [here](http://docs.scipy.org/doc/numpy/user/basics.broadcasting.html)
 
-  Given two input tensors, the `tf.add` operation computes the sum for every element in the tensor.
-  
+  Given two input tensors, the `tf.add` operation computes the sum
+  for every element in the tensor.
+
   Both input and output have a range `(-inf, inf)`.
 
   For example:
@@ -4973,10 +4974,11 @@ def add(x,y,name=None):
   >>> tf.add(x,y)
   <tf.Tensor: shape=(5,), dtype=float32, numpy=
   array([  6. ,   0. ,   8.7, -21.9,   inf], dtype=float32)>
-  
+
   Args:
-    x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`, 
-    `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, 
+    x: A `Tensor`. Must be one of the following types:
+    `bfloat16`, `half`, `float32`, `float64`, `uint8`, `int8`,
+    `int16`, `int32`, `int64`, `complex64`,
     `complex128`, `string`.
     y: A `Tensor`. Must have the same type as x.
     name: A name for the operation (optional).
@@ -4986,14 +4988,15 @@ def add(x,y,name=None):
   return gen_math_ops.add(x,y,name)
 
 
-@tf_export("math.acos", v1=["math.acos","acos"])
+@tf_export("math.acos", v1=["math.acos", "acos"])
 @deprecation.deprecated_endpoints("acos")
 @dispatch.add_dispatch_support
-def acos(x,name=None):
+def acos(x, name=None):
   """Computes acos of x element-wise.
 
-  Provided an input tensor, the `tf.math.acos` operation returns the inverse cosine of 
-  each element of the tensor. If `y = tf.math.cos(x)` then, `x = tf.math.acos(y)`. 
+  Provided an input tensor, the `tf.math.acos` operation
+  returns the inverse cosine of each element of the tensor.
+  If `y = tf.math.cos(x)` then, `x = tf.math.acos(y)`.
 
   Input range is `[-1, 1]` and the output has a range of `[0, pi]`.
 
@@ -5006,9 +5009,9 @@ def acos(x,name=None):
       dtype=float32)>
 
   Args:
-    x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`, 
-    `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`, `int64`, `complex64`, 
-    `complex128`, `string`.
+    x: A `Tensor`. Must be one of the following types: `bfloat16`, `half`,
+    `float32`, `float64`, `uint8`, `int8`, `int16`, `int32`,
+    `int64`, `complex64`, `complex128`, `string`.
     name: A name for the operation (optional).
   Returns:
     A `Tensor`. Has the same type as x.
@@ -5016,25 +5019,27 @@ def acos(x,name=None):
   return gen_math_ops.acos(x,name)
 
 
-@tf_export("math.floor", v1=["math.floor","floor"])
+@tf_export("math.floor", v1=["math.floor", "floor"])
 @deprecation.deprecated_endpoints("floor")
 @dispatch.add_dispatch_support
-def floor(x,name=None):
+def floor(x, name=None):
   """Returns element-wise largest integer not greater than x.
-  
-  Both input range is `(-inf,inf)` and the ouput range consists of all integer values.
-  
+
+  Both input range is `(-inf, inf)` and the
+  ouput range consists of all integer values.
+
   For example:
 
-  >>> x = tf.constant([1.3324, -1.5, 5.555, -2.532, 0.99, float("inf")]) 
+  >>> x = tf.constant([1.3324, -1.5, 5.555, -2.532, 0.99, float("inf")])
   >>> tf.floor(x)
   <tf.Tensor: shape=(6,), dtype=float32, numpy=
   array([ 1., -2.,  5., -3.,  0., inf], dtype=float32)>
-  
+
   Args:
-    x:  A `Tensor`. Must be one of the following types: `bfloat16`, `half`, `float32`, `float64`.
+    x:  A `Tensor`. Must be one of the following types:
+    `bfloat16`, `half`, `float32`, `float64`.
     name: A name for the operation (optional).
   Returns:
     A `Tensor`. Has the same type as x.
   """
-  return gen_math_ops.floor(x,name)
\ No newline at end of file
+  return gen_math_ops.floor(x,name)