From d64e6abd5a4c19cdbd42d0a6e53b1536d5feda6f Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mart=C3=ADn=20Esparza-Iaizzo?=
 <96518571+martinesparza@users.noreply.github.com>
Date: Thu, 2 Jun 2022 15:00:07 +0100
Subject: [PATCH 1/2] Update README.md

---
 README.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 0072c39..c4ef9fc 100644
--- a/README.md
+++ b/README.md
@@ -5,7 +5,7 @@
 
 # EEG_classification
 Description of the approach : https://towardsdatascience.com/sleep-stage-classification-from-single-channel-eeg-using-convolutional-neural-networks-5c710d92d38e
-
+Testing 101
 
 Sleep Stage Classification from Single Channel EEG using Convolutional Neural
 Networks

From d0ded531186403ae4537c834eb3bdfbec71db5b0 Mon Sep 17 00:00:00 2001
From: =?UTF-8?q?Mart=C3=ADn=20Esparza-Iaizzo?=
 <96518571+martinesparza@users.noreply.github.com>
Date: Thu, 2 Jun 2022 15:08:28 +0100
Subject: [PATCH 2/2] Update utils.py

---
 code/utils.py | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/code/utils.py b/code/utils.py
index 1501203..2e4e79c 100644
--- a/code/utils.py
+++ b/code/utils.py
@@ -1,7 +1,7 @@
 import h5py
 import numpy as np
 import random
-
+#
 WINDOW_SIZE = 100
 
 def rescale_array(X):
@@ -41,4 +41,4 @@ def gen(dict_files, aug=False):
 
 
 def chunker(seq, size=WINDOW_SIZE):
-    return (seq[pos:pos + size] for pos in range(0, len(seq), size))
\ No newline at end of file
+    return (seq[pos:pos + size] for pos in range(0, len(seq), size))