merge primitive_tests from Junjie branch, modified metadata for data_processing and timeseries_processing module

tods/tests/timeseries_processing/test_SubsequenceClustering.py

@@ -1,98 +0,0 @@
-import unittest
-
-from d3m import container, utils
-from d3m.metadata import base as metadata_base
-from tods.timeseries_processing import SubsequenceClustering
-
-
-class SubsequenceClusteringTest(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 = SubsequenceClustering.SubsequenceClustering.metadata.get_hyperparams()
-        primitive = SubsequenceClustering.SubsequenceClustering(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()