diff --git a/test/conftest.py b/test/conftest.py
index a78c366..5400ff5 100644
--- a/test/conftest.py
+++ b/test/conftest.py
@@ -510,7 +510,6 @@ def random_single_color_image_from_metadata(metadata):
     return image
 
 
-# TODO: rename: not random!
-def random_size_gray_image_from_metadata(metadata):
+def gray_image_from_metadata(metadata):
     image = Image.new("RGB", (metadata[Info.WIDTH], metadata[Info.HEIGHT]), color=(100, 100, 100))
     return image
diff --git a/test/exploration_tests/utils_test.py b/test/exploration_tests/funcy_test.py
similarity index 100%
rename from test/exploration_tests/utils_test.py
rename to test/exploration_tests/funcy_test.py
diff --git a/test/unit_tests/image_stitching_test.py b/test/unit_tests/image_stitching_test.py
index da8e8c8..fda2a62 100644
--- a/test/unit_tests/image_stitching_test.py
+++ b/test/unit_tests/image_stitching_test.py
@@ -37,7 +37,7 @@ from image_prediction.stitching.utils import (
 from test.conftest import (
     add_image,
     random_single_color_image_from_metadata,
-    random_size_gray_image_from_metadata,
+    gray_image_from_metadata,
 )
 from test.utils.stitching import BoxSplitter
 
@@ -72,7 +72,7 @@ def test_image_stitcher_with_gaps_must_succeed():
     with open(os.path.join(TEST_DATA_DIR, "stitching_with_tolerance.json")) as f:
         patches_metadata, base_patch_metadata = itemgetter("input", "target")(ReverseEnumFormatter(Info)(json.load(f)))
 
-    images = map(random_size_gray_image_from_metadata, patches_metadata)
+    images = map(gray_image_from_metadata, patches_metadata)
     patch_image_metadata_pairs = list(starmap(ImageMetadataPair, zip(images, patches_metadata)))
 
     pairs_stitched = stitch_pairs(patch_image_metadata_pairs, tolerance=7)
@@ -105,7 +105,7 @@ def test_merge_group_horizontally(horizontal_merge_test_pairs):
     mdat3 = deepcopy(pr2.metadata)
     mdat3[Info.HEIGHT] += 30
     mdat3[Info.Y2] += 30
-    im3 = random_size_gray_image_from_metadata(mdat3)
+    im3 = gray_image_from_metadata(mdat3)
     pr3 = ImageMetadataPair(im3, mdat3)
 
     prs_merged = merge_group_horizontally([pr1, pr2, pr3])
@@ -123,7 +123,7 @@ def test_merge_group_vertically(vertical_merge_test_pairs):
     mdat3 = deepcopy(pr2.metadata)
     mdat3[Info.WIDTH] += 30
     mdat3[Info.X2] += 30
-    im3 = random_size_gray_image_from_metadata(mdat3)
+    im3 = gray_image_from_metadata(mdat3)
     pr3 = ImageMetadataPair(im3, mdat3)
 
     prs_merged = merge_group_vertically([pr1, pr2, pr3])
@@ -153,13 +153,13 @@ def images_equal(im1: Image, im2: Image, **kwargs):
 
 @pytest.fixture
 def horizontal_merge_test_pairs(horizontal_merge_test_metadata):
-    images = map(random_size_gray_image_from_metadata, horizontal_merge_test_metadata)
+    images = map(gray_image_from_metadata, horizontal_merge_test_metadata)
     return list(starmap(ImageMetadataPair, zip(images, horizontal_merge_test_metadata)))
 
 
 @pytest.fixture
 def vertical_merge_test_pairs(vertical_merge_test_metadata):
-    images = map(random_size_gray_image_from_metadata, vertical_merge_test_metadata)
+    images = map(gray_image_from_metadata, vertical_merge_test_metadata)
     return list(starmap(ImageMetadataPair, zip(images, vertical_merge_test_metadata)))
 
 
@@ -209,7 +209,7 @@ def base_patch_image(stitch_test_pdf):
 
 def test_concat_images_horizontally(horizontal_merge_test_metadata):
     mdat1, mdat2, mdat_merged = horizontal_merge_test_metadata
-    im1, im2, im_merged_expected = map(random_size_gray_image_from_metadata, [mdat1, mdat2, mdat_merged])
+    im1, im2, im_merged_expected = map(gray_image_from_metadata, [mdat1, mdat2, mdat_merged])
     im_merged = concat_images_horizontally(im1, im2, mdat_merged)
     assert im_merged.size == im_merged_expected.size
     assert images_equal(im_merged, im_merged_expected)
@@ -217,7 +217,7 @@ def test_concat_images_horizontally(horizontal_merge_test_metadata):
 
 def test_concat_images_vertically(vertical_merge_test_metadata):
     mdat1, mdat2, mdat_merged = vertical_merge_test_metadata
-    im1, im2, im_merged_expected = map(random_size_gray_image_from_metadata, [mdat1, mdat2, mdat_merged])
+    im1, im2, im_merged_expected = map(gray_image_from_metadata, [mdat1, mdat2, mdat_merged])
     im_merged = concat_images_vertically(im1, im2, mdat_merged)
     assert im_merged.size == im_merged_expected.size
     assert images_equal(im_merged, im_merged_expected)