v1.3.1

CHANGELOG.md

@@ -1,3 +1,31 @@
+# 2020-03-27    [ 1.3.1 ]:
+--------------------------
+* bugfixes
+  - Fixed MSTUMP/MSTUMPED input dimensions check
+  - Fixed inconsistent MSTUMP/MSTUMPED output
+* features
+  - Added support for constant subsequences and added unit tests
+  - Improved GPU memory consumption for self-join
+  - Added ability to handle NaN and inf values in all matrix profile algorithms (except gpu_stump)
+* tasks
+  - Updated performance table with new performance results, better color scheme, intuitive hardware grouping
+  - Re-organized ndarray input verification steps
+  - Added more unit tests and rearranged test order
+  - Removed Python type hints or type annotations
+  - Split failing dask unit tests into multiple test files
+  - Added PR template
+  - Updated Mac OS X image for Azure Pipelines
+  - Replaced stddev computation with a memory efficient rolling chunked stddev 
+  - Modified exclusion zone to be symmetrical
+  - Refactored multi-dimensional mass
+  - Fixed scenarios where subsequence contains zero mean
+  - Added explicit PR trigger to Azure Pipelines
+  - Updated installation instructions to use conda-forge channel
+  - Fixed time series chains all_c test to handle differences in Python set order
+* documentation
+  - Fixed various typos
+  - Refactored tutorials for clarity
+
 # 2019-12-30    [ 1.3.0 ]:
 --------------------------
 * bugfixes

setup.py

@@ -8,7 +8,7 @@ def readme():
 
 configuration = {
     "name": "stumpy",
-    "version": "1.3.0",
+    "version": "1.3.1",
     "python_requires=": ">=3.6",
     "author": "Sean M. Law",
     "author_email": "seanmylaw@gmail.com",

stumpy/stomp.py

@@ -65,6 +65,14 @@ def stomp(T_A, m, T_B=None, ignore_trivial=True):
 
     Note that left and right matrix profiles are only available for self-joins.
     """
+
+    logger.warning(
+        "stumpy.stomp is only provided for reference purposes and should never be used."
+    )
+    logger.warning(
+        "Please use the Numba JIT-compiled stumpy.stump or stump.gpu_stump instead."
+    )
+
     if T_A.ndim != 1:  # pragma: no cover
         raise ValueError(f"T_A is {T_A.ndim}-dimensional and must be 1-dimensional. ")
     n = T_A.shape[0]