From 6a88e734065f67184e1461f7e7c09e89f9b97db5 Mon Sep 17 00:00:00 2001
From: Alec Delaney <89490472+tekktrik@users.noreply.github.com>
Date: Thu, 10 Nov 2022 23:47:04 -0500
Subject: [PATCH] Fix pylint errors

---
 examples/mlx90640_camtest.py | 6 +++---
 examples/mlx90640_pil.py     | 6 +++---
 2 files changed, 6 insertions(+), 6 deletions(-)

diff --git a/examples/mlx90640_camtest.py b/examples/mlx90640_camtest.py
index ae72a57..b6f6c76 100644
--- a/examples/mlx90640_camtest.py
+++ b/examples/mlx90640_camtest.py
@@ -85,13 +85,13 @@ def gaussian(x, a, b, c, d=0):
 def gradient(x, width, cmap, spread=1):
     width = float(width)
     r = sum(
-        [gaussian(x, p[1][0], p[0] * width, width / (spread * len(cmap))) for p in cmap]
+        gaussian(x, p[1][0], p[0] * width, width / (spread * len(cmap))) for p in cmap
     )
     g = sum(
-        [gaussian(x, p[1][1], p[0] * width, width / (spread * len(cmap))) for p in cmap]
+        gaussian(x, p[1][1], p[0] * width, width / (spread * len(cmap))) for p in cmap
     )
     b = sum(
-        [gaussian(x, p[1][2], p[0] * width, width / (spread * len(cmap))) for p in cmap]
+        gaussian(x, p[1][2], p[0] * width, width / (spread * len(cmap))) for p in cmap
     )
     r = int(constrain(r * 255, 0, 255))
     g = int(constrain(g * 255, 0, 255))
diff --git a/examples/mlx90640_pil.py b/examples/mlx90640_pil.py
index db509b5..c4a5466 100644
--- a/examples/mlx90640_pil.py
+++ b/examples/mlx90640_pil.py
@@ -47,13 +47,13 @@ def gaussian(x, a, b, c, d=0):
 def gradient(x, width, cmap, spread=1):
     width = float(width)
     r = sum(
-        [gaussian(x, p[1][0], p[0] * width, width / (spread * len(cmap))) for p in cmap]
+        gaussian(x, p[1][0], p[0] * width, width / (spread * len(cmap))) for p in cmap
     )
     g = sum(
-        [gaussian(x, p[1][1], p[0] * width, width / (spread * len(cmap))) for p in cmap]
+        gaussian(x, p[1][1], p[0] * width, width / (spread * len(cmap))) for p in cmap
     )
     b = sum(
-        [gaussian(x, p[1][2], p[0] * width, width / (spread * len(cmap))) for p in cmap]
+        gaussian(x, p[1][2], p[0] * width, width / (spread * len(cmap))) for p in cmap
     )
     r = int(constrain(r * 255, 0, 255))
     g = int(constrain(g * 255, 0, 255))