Pylint fix

Signed-off-by: Yong Tang <yong.tang.github@outlook.com>

tensorflow_io/core/python/experimental/numpy_dataset_ops.py

@@ -57,11 +57,11 @@ def p(entry):
           except ValueError:
             pass
         if indices is not None:
-          values = [e for e in indices]
+          values = list(indices)
           values.sort()
           if not all([k == v for k, v in enumerate(values)]):
             indices = None
-        
+
         # if indices is continuously, then construct a tuple, otherwise a dict.
         if indices is not None:
           entries = dict(zip(indices, entries))
@@ -74,7 +74,7 @@ def p(entry):
           return 0, filename, entry.name, entry.shape, entry.dtype
 
       flatten = tf.nest.flatten(entries)
-      assert all([entry.shape[0]==flatten[0].shape[0] for entry in flatten])
+      assert all([entry.shape[0] == flatten[0].shape[0] for entry in flatten])
 
       params = [p(entry) for entry in flatten]
 

tests/test_io_dataset_eager.py

@@ -437,7 +437,7 @@ def fixture_numpy():
   data = [[i, i+1, i+2] for i in range(0, 5000)]
 
   args = np.asarray(data)
-  func = lambda e: tfio.experimental.IODataset.from_numpy(e)
+  func = tfio.experimental.IODataset.from_numpy
   expected = data
 
   return args, func, expected
@@ -450,7 +450,7 @@ def fixture_numpy_structure():
   d2 = [[i+2, i+1, i] for i in range(0, 5000)]
 
   args = (np.asarray(d1), np.asarray(d2))
-  func = lambda e: tfio.experimental.IODataset.from_numpy(e)
+  func = tfio.experimental.IODataset.from_numpy
   expected = list(zip(d1, d2))
 
   return args, func, expected
@@ -472,7 +472,7 @@ def fin():
   request.addfinalizer(fin)
 
   args = filename
-  func = lambda e: tfio.experimental.IODataset.from_numpy(e)
+  func = tfio.experimental.IODataset.from_numpy
   expected = list(zip(d1, d2))
 
   return args, func, expected