From 0fac7bbcc23b7ad79893b1a35650a12d7299e2c4 Mon Sep 17 00:00:00 2001
From: ngoguey <ngoguey@student.42.fr>
Date: Wed, 12 Aug 2020 11:07:01 +0200
Subject: [PATCH] Reduce length of conv UT

---
 buzzard/test/test_footprint_convs.py | 28 +++++++++-------------------
 1 file changed, 9 insertions(+), 19 deletions(-)

diff --git a/buzzard/test/test_footprint_convs.py b/buzzard/test/test_footprint_convs.py
index a638613..6eff728 100644
--- a/buzzard/test/test_footprint_convs.py
+++ b/buzzard/test/test_footprint_convs.py
@@ -35,16 +35,13 @@ def _pytest_generate_tests(metafunc):
     ]
     if 'output_padding' in metafunc.fixturenames:
         rsizes = [
-            (4, 4),
-            (5, 5),
+            (4, 5),
             (6, 7),
         ]
     else:
         rsizes = [
-            (15, 15),
-            (16, 16),
-            (17, 17),
-            (18, 19),
+            (15, 16),
+            (17, 18),
         ]
     src_fp = buzz.Footprint(rsize=(1, 1), gt=(100, 1, 0, 100, 0, 1))
     confs = list(itertools.product(scales, rots, rsizes))
@@ -63,45 +60,38 @@ def _pytest_generate_tests(metafunc):
 
     # *********************************************************************** **
     kernel_sizes = np.asarray([
-        (1, 1),
-        (2, 2),
-        (3, 3),
-        (4, 5),
+        (1, 2),
+        (3, 4),
     ])
 
     # *********************************************************************** **
     strides = np.asarray([
-        (1, 1),
-        (2, 2),
+        (1, 2),
         (3, 4),
     ])
 
     # *********************************************************************** **
     if 'output_padding' in metafunc.fixturenames:
         paddings = np.asarray([
-            (0, 0),
-            (1, 1),
             (0, 1),
+            (2, 3),
         ])
     else:
         paddings = np.asarray([
-            (0, 0),
-            (1, 1),
+            (0, 1),
             (2, 3),
         ])
 
     # *********************************************************************** **
     dilations = np.asarray([
         (1, 1),
-        (2, 2),
         (2, 3),
     ])
 
     # *********************************************************************** **
     output_paddings = np.asarray([
-        (0, 0),
-        (1, 1),
         (0, 1),
+        (2, 3),
     ])
 
     # *********************************************************************** **