fixes

examples/sklearnex/n_jobs.py

@@ -18,10 +18,6 @@
 # scikit-learn n_jobs yet. Thus it's requered to use daal4py package to set this.
 # nthreads parameter define number of threads used by sklearnex.
 # Without this code sklearnex would be using all system cores
-import sys
-
-print("KNOWN BUG IN EXAMPLES. TODO: fixme")
-sys.exit()
 
 import daal4py
 

examples/sklearnex/patch_sklearn.py

@@ -16,10 +16,6 @@
 
 # Calling scikit-learn patch - this would enable acceleration on all
 # enabled algorithms. This is most straight forward way of patching
-import sys
-
-print("KNOWN BUG IN EXAMPLES. TODO: fixme")
-sys.exit()
 
 from sklearnex import patch_sklearn
 

examples/sklearnex/verbose_mode.py

@@ -17,10 +17,7 @@
 # sklearnex can help you debug your aplications by printing messages on it's invocation
 # to allow you to see if stock of accelerated version was used.
 # By setting sklearnex logger level to "INFO" you would enable this verbose mode
-import sys
 
-print("KNOWN BUG IN EXAMPLES. TODO: fixme")
-sys.exit()
 import logging
 
 logging.getLogger("sklearnex").setLevel(logging.INFO)

tests/run_examples.py

@@ -189,10 +189,7 @@ def check_library(rule):
 req_os = defaultdict(lambda: [])
 
 skiped_files = [
-    "log_reg_model_builder.py",
-    "n_jobs.py",
-    "verbose_mode.py",
-    "patch_sklearn.py",
+    "log_reg_model_builder.py"
 ]
 
 

tests/test_examples_sklearnex.py

@@ -60,7 +60,7 @@ def testit(self):
 files = [
     f
     for f in os.listdir(examples_path)
-    if f.endswith(".py") and "spmd" not in f and "batch" not in f
+    if f.endswith(".py") and "spmd" not in f and "dpnp" not in f and "dpctl" not in f
 ]
 
 for file in files: