fix the subsequence segmentation

tods/resources/.entry_points.ini

@@ -20,6 +20,7 @@ tods.timeseries_processing.transformation.simple_exponential_smoothing = tods.ti
 tods.timeseries_processing.transformation.holt_smoothing = tods.timeseries_processing.HoltSmoothing:HoltSmoothingPrimitive
 tods.timeseries_processing.transformation.holt_winters_exponential_smoothing= tods.timeseries_processing.HoltWintersExponentialSmoothing:HoltWintersExponentialSmoothingPrimitive
 tods.timeseries_processing.decomposition.time_series_seasonality_trend_decomposition = tods.timeseries_processing.TimeSeriesSeasonalityTrendDecomposition:TimeSeriesSeasonalityTrendDecompositionPrimitive
+tods.timeseries_processing.subsequence_segmentation = tods.timeseries_processing.SubsequenceSegmentation:SubsequenceSegmentationPrimitive
 
 
 tods.feature_analysis.auto_correlation = tods.feature_analysis.AutoCorrelation:AutoCorrelationPrimitive

tods/tests/timeseries_processing/test_SubsequenceSegmentation.py

@@ -0,0 +1,98 @@
+import unittest
+
+from d3m import container, utils
+from d3m.metadata import base as metadata_base
+from tods.timeseries_processing import SubsequenceSegmentation
+
+
+class SubsequenceSegmentationTest(unittest.TestCase):
+    def test_basic(self):
+        self.maxDiff = None
+        main = container.DataFrame({'a': [1., 2., 3.], 'b': [2., 3., 4.], 'c': [3., 4., 5.],},
+                                    # columns=['a', 'b', 'c'],
+                                    generate_metadata=True)
+
+        print(main)
+
+
+        self.assertEqual(utils.to_json_structure(main.metadata.to_internal_simple_structure()), [{
+            'selector': [],
+            'metadata': {
+                # 'top_level': 'main',
+                'schema': metadata_base.CONTAINER_SCHEMA_VERSION,
+                'structural_type': 'd3m.container.pandas.DataFrame',
+                'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'],
+                'dimension': {
+                    'name': 'rows',
+                    'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'],
+                    'length': 3,
+                },
+            },
+        }, {
+            'selector': ['__ALL_ELEMENTS__'],
+            'metadata': {
+                'dimension': {
+                    'name': 'columns',
+                    'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'],
+                    'length': 3,
+                },
+            },
+        }, {
+            'selector': ['__ALL_ELEMENTS__', 0],
+            'metadata': {'structural_type': 'numpy.float64', 'name': 'a'},
+        }, {
+            'selector': ['__ALL_ELEMENTS__', 1],
+            'metadata': {'structural_type': 'numpy.float64', 'name': 'b'},
+        }, {
+            'selector': ['__ALL_ELEMENTS__', 2],
+            'metadata': {'structural_type': 'numpy.float64', 'name': 'c'}
+        }])
+
+
+        self.assertIsInstance(main, container.DataFrame)
+
+
+        hyperparams_class = SubsequenceSegmentation.SubsequenceSegmentationPrimitive.metadata.get_hyperparams()
+        primitive = SubsequenceSegmentation.SubsequenceSegmentationPrimitive(hyperparams=hyperparams_class.defaults())
+        new_main = primitive.produce(inputs=main).value
+        print(new_main)      
+        print(new_main.shape)    
+
+
+        self.assertEqual(utils.to_json_structure(main.metadata.to_internal_simple_structure()), [{
+            'selector': [],
+            'metadata': {
+                # 'top_level': 'main',
+                'schema': metadata_base.CONTAINER_SCHEMA_VERSION,
+                'structural_type': 'd3m.container.pandas.DataFrame',
+                'semantic_types': ['https://metadata.datadrivendiscovery.org/types/Table'],
+                'dimension': {
+                    'name': 'rows',
+                    'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularRow'],
+                    'length': 3,
+                },
+            },
+        }, {
+            'selector': ['__ALL_ELEMENTS__'],
+            'metadata': {
+                'dimension': {
+                    'name': 'columns',
+                    'semantic_types': ['https://metadata.datadrivendiscovery.org/types/TabularColumn'],
+                    'length': 3,
+                },
+            },
+        }, {
+            'selector': ['__ALL_ELEMENTS__', 0],
+            'metadata': {'structural_type': 'numpy.float64', 'name': 'a'},
+        }, {
+            'selector': ['__ALL_ELEMENTS__', 1],
+            'metadata': {'structural_type': 'numpy.float64', 'name': 'b'},
+        }, {
+            'selector': ['__ALL_ELEMENTS__', 2],
+            'metadata': {'structural_type': 'numpy.float64', 'name': 'c'}
+        }])
+
+
+
+if __name__ == '__main__':
+    unittest.main()

tods/timeseries_processing/SubsequenceSegmentation.py

@@ -7,6 +7,7 @@ import numpy as np
 import typing
 import time
 import pandas as pd
+import uuid
 
 from d3m import container
 from d3m.primitive_interfaces import base, transformer