pyupgrade --py37-plus **/*.py (#1654)

* pyupgrade --py37-plus **/*.py

* fixup! Format Python code with psf/black push

neural_network/back_propagation_neural_network.py

@@ -1,5 +1,4 @@
 #!/usr/bin/python
-# encoding=utf8
 
 """
 
@@ -31,6 +30,7 @@ class DenseLayer:
     """
     Layers of BP neural network
     """
+
     def __init__(
         self, units, activation=None, learning_rate=None, is_input_layer=False
     ):
@@ -99,6 +99,7 @@ class BPNN:
     """
     Back Propagation Neural Network model
     """
+
     def __init__(self):
         self.layers = []
         self.train_mse = []

neural_network/convolution_neural_network.py

@@ -1,5 +1,3 @@
-# -*- coding: utf-8 -*-
-
 """
      - - - - - -- - - - - - - - - - - - - - - - - - - - - - -
     Name - - CNN - Convolution Neural Network For Photo Recognizing
@@ -286,7 +284,7 @@ class CNN:
                 self.thre_bp3 = self.thre_bp3 - pd_k_all * self.rate_thre
                 self.thre_bp2 = self.thre_bp2 - pd_j_all * self.rate_thre
                 # calculate the sum error of all single image
-                errors = np.sum(abs((data_teach - bp_out3)))
+                errors = np.sum(abs(data_teach - bp_out3))
                 alle = alle + errors
                 # print('   ----Teach      ',data_teach)
                 # print('   ----BP_output  ',bp_out3)

neural_network/input_data.py

@@ -17,9 +17,6 @@
 This module and all its submodules are deprecated.
 """
 
-from __future__ import absolute_import
-from __future__ import division
-from __future__ import print_function
 
 import collections
 import gzip
@@ -115,7 +112,7 @@ def _extract_labels(f, one_hot=False, num_classes=10):
         return labels
 
 
-class _DataSet(object):
+class _DataSet:
     """Container class for a _DataSet (deprecated).
 
   THIS CLASS IS DEPRECATED.
@@ -165,7 +162,7 @@ class _DataSet(object):
         else:
             assert (
                 images.shape[0] == labels.shape[0]
-            ), "images.shape: %s labels.shape: %s" % (images.shape, labels.shape)
+            ), f"images.shape: {images.shape} labels.shape: {labels.shape}"
             self._num_examples = images.shape[0]
 
             # Convert shape from [num examples, rows, columns, depth]