From bd87368680793dedfe0302e4ff5ff0f01a164af1 Mon Sep 17 00:00:00 2001
From: Gustavo Rosa <gth.rosa@uol.com.br>
Date: Tue, 20 Apr 2021 15:17:36 -0300
Subject: [PATCH] Still making another small cleanup on package.

---
 nalp/datasets/image.py                | 12 +++++-------
 nalp/models/dcgan.py                  |  2 +-
 nalp/models/generators/stacked_rnn.py |  2 +-
 3 files changed, 7 insertions(+), 9 deletions(-)

diff --git a/nalp/datasets/image.py b/nalp/datasets/image.py
index bd7df5c..68bd366 100644
--- a/nalp/datasets/image.py
+++ b/nalp/datasets/image.py
@@ -56,15 +56,13 @@ def _preprocess(self, images, shape, normalize):
 
         """
 
+        # Makes sure that images are float typed
+        images = images.astype('float32')
+
         # If a shape is supplied
         if shape:
-            # Reshapes the array and make sure that it is float typed
-            images = images.reshape(shape).astype('float32')
-
-        # If no shape is supplied
-        else:
-            # Just make sure that the array is float typed
-            images = images.astype('float32')
+            # Reshapes the array
+            images = images.reshape(shape)
 
         # If images should be normalized
         if normalize:
diff --git a/nalp/models/dcgan.py b/nalp/models/dcgan.py
index 51020fa..111bad6 100644
--- a/nalp/models/dcgan.py
+++ b/nalp/models/dcgan.py
@@ -43,7 +43,7 @@ def __init__(self, input_shape=(28, 28, 1), noise_dim=100, n_samplings=3, alpha=
         super(DCGAN, self).__init__(D, G, name='dcgan')
 
         logger.debug('Input: %s | Noise: %d | Number of samplings: %d | '
-                     'Activation rate: %s | Dropout rate: %s',
+                     'Activation rate: %s | Dropout rate: %s.',
                      input_shape, noise_dim, n_samplings,
                      alpha, dropout_rate)
         logger.info('Class overrided.')
diff --git a/nalp/models/generators/stacked_rnn.py b/nalp/models/generators/stacked_rnn.py
index bb17ea0..00743a3 100644
--- a/nalp/models/generators/stacked_rnn.py
+++ b/nalp/models/generators/stacked_rnn.py
@@ -52,7 +52,7 @@ def __init__(self, encoder=None, vocab_size=1, embedding_size=32, hidden_size=(6
         # Creates the linear (Dense) layer
         self.linear = Dense(vocab_size, name='out')
 
-        logger.debug('Number of cells: %d', len(hidden_size))
+        logger.debug('Number of cells: %d.', len(hidden_size))
         logger.info('Class overrided.')
 
     @property