Make some imports lazy

histomicstk/annotations_and_masks/review_gallery.py

@@ -3,7 +3,6 @@
 import tempfile
 
 import numpy as np
-import pyvips
 from imageio import imwrite
 from PIL import Image
 
@@ -322,6 +321,7 @@ def create_review_galleries(
         post request to upload the gallery to DSA.
 
     """
+    import pyvips
     from pandas import DataFrame
 
     if upload_results:

histomicstk/annotations_and_masks/tests/test_annotation_database_parser.py

@@ -5,8 +5,6 @@
 
 import pandas as pd
 import pytest
-import sqlalchemy as db
-from sqlalchemy import text
 
 from histomicstk.annotations_and_masks.annotation_database_parser import (
     dump_annotations_locally, parse_annotations_to_local_tables)
@@ -67,6 +65,9 @@ class TestDatabaseParser:
 
     def test_dump_annotations_locally_1(self):
         """Test dump annotations locally."""
+        import sqlalchemy as db
+        from sqlalchemy import text
+
         savepath = tempfile.mkdtemp()
 
         # recursively save annotations -- JSONs + sqlite for folders/items
@@ -98,6 +99,9 @@ def test_dump_annotations_locally_1(self):
 
     def test_dump_annotations_locally_2(self):
         """Test dump annotations locally."""
+        import sqlalchemy as db
+        from sqlalchemy import text
+
         savepath = tempfile.mkdtemp()
 
         # recursively save annotations -- parse to csv + sqlite

histomicstk/cli/SuperpixelSegmentation/SuperpixelSegmentation.py

@@ -5,7 +5,6 @@
 
 import large_image
 import numpy
-import pyvips
 import scipy
 import skimage
 
@@ -20,6 +19,8 @@ def createSuperPixels(opts):  # noqa
     opts.callback, which is a function that takes (step_name: str,
     step_count: int, step_total: int).
     """
+    import pyvips
+
     averageSize = opts.superpixelSize ** 2
     overlap = opts.superpixelSize * 4 * 2 if opts.overlap else 0
     tileSize = opts.tileSize + overlap