[MNT] fix some details

examples/dataset_image_workflow/example_files/example_yaml.yaml

@@ -2,7 +2,7 @@ model:
   class_name: Model
   kwargs: {}
 stat_specifications:
-  - module_path: learnware.specification.image
+  - module_path: learnware.specification
     class_name: RKMEImageStatSpecification
     file_name: rkme.json
     kwargs: {}  

learnware/market/easy2/organizer.py

@@ -20,7 +20,7 @@ from ... import utils
 from ...config import C as conf
 from ...logger import get_module_logger
 from ...learnware import Learnware, get_learnware_from_dirpath
-from ...specification import RKMEStatSpecification, Specification
+from ...specification import Specification
 
 from ..base import BaseOrganizer, BaseChecker
 from ...logger import get_module_logger

learnware/specification/__init__.py

@@ -1,3 +1,3 @@
 from .utils import generate_stat_spec, generate_rkme_spec, generate_rkme_image_spec
 from .base import Specification, BaseStatSpecification
-from .regular import RKMEStatSpecification, RKMEImageStatSpecification
+from .regular import RegularStatsSpecification, RKMEStatSpecification, RKMEImageStatSpecification

learnware/specification/regular/__init__.py

@@ -1,2 +1,3 @@
 from .table import RKMEStatSpecification
 from .image import RKMEImageStatSpecification
+from .base import RegularStatsSpecification

learnware/specification/regular/table/rkme.py

@@ -26,8 +26,7 @@ from ....logger import get_module_logger
 logger = get_module_logger("rkme")
 
 if not _FAISS_INSTALLED:
-    logger.warning("Required faiss version >= 1.7.1 is not detected!")
-    logger.warning('Please run "conda install -c pytorch faiss-cpu" first.')
+    logger.warning("Required faiss version >= 1.7.1 is not detected! Please run 'conda install -c pytorch faiss-cpu' first")
 
 
 class RKMEStatSpecification(RegularStatsSpecification):

tests/test_specification/test_rkme.py

@@ -5,13 +5,13 @@ import unittest
 import tempfile
 import numpy as np
 
-import learnware
 from learnware.specification import RKMEStatSpecification, RKMEImageStatSpecification
 from learnware.specification import generate_rkme_image_spec, generate_rkme_spec
 
 
 class TestRKME(unittest.TestCase):
     def test_rkme(self):
+        pass
         X = np.random.uniform(-10000, 10000, size=(5000, 200))
         rkme = generate_rkme_spec(X)
         rkme.generate_stat_spec_from_data(X)