Merge remote-tracking branch 'origin/main' into feature/hetero

examples/workflow_by_code/main.py

@@ -12,7 +12,7 @@ from shutil import copyfile, rmtree
 import learnware
 from learnware.market import EasyMarket, BaseUserInfo
 from learnware.reuse import JobSelectorReuser, AveragingReuser
-from learnware.specification import generate_rkme_spec
+from learnware.specification import generate_rkme_spec, RKMETableSpecification
 
 curr_root = os.path.dirname(os.path.abspath(__file__))
 
@@ -147,7 +147,7 @@ class LearnwareMarketWorkflow:
             with zipfile.ZipFile(zip_path, "r") as zip_obj:
                 zip_obj.extractall(path=unzip_dir)
 
-            user_spec = specification.RKMETableSpecification()
+            user_spec = RKMETableSpecification()
             user_spec.load(os.path.join(unzip_dir, "svm.json"))
             user_info = BaseUserInfo(semantic_spec=user_semantic, stat_info={"RKMETableSpecification": user_spec})
             (

learnware/market/easy2/checker.py

@@ -141,7 +141,7 @@ class EasyStatChecker(BaseChecker):
                     int(semantic_spec["Output"]["Dimension"]),
                 ):
                     logger.warning(
-                        f"The learnware [{learnware.id}] output dimention mismatch!, where pred_shape={outputs[0].shape}, model_shape={learnware_model.output_shape}, semantic_shape={(int(semantic_spec['Output']['Dimension']), )}"
+                        f"The learnware [{learnware.id}] output dimension mismatch!, where pred_shape={outputs[0].shape}, model_shape={learnware_model.output_shape}, semantic_shape={(int(semantic_spec['Output']['Dimension']), )}"
                     )
                     return self.INVALID_LEARNWARE