implemented vectorized annotation validation

jams/core.py

@@ -763,12 +763,12 @@ def validate(self, strict=True):
         valid = super(Annotation, self).validate(strict=strict)
 
         # Get the schema for this annotation
-        ann_schema = schema.namespace(self.namespace)
+        ann_schema = schema.namespace_array(self.namespace)
 
         try:
             # validate each record in the frame
-            for rec in self.data:
-                jsonschema.validate(serialize_obj(rec), ann_schema)
+            data_ser = [serialize_obj(obs) for obs in self.data]
+            jsonschema.validate(data_ser, ann_schema)
 
         except jsonschema.ValidationError as invalid:
             if strict:

jams/schema.py

@@ -9,6 +9,7 @@
 
     add_namespace
     namespace
+    namespace_array
     is_dense
     values
     get_dtypes
@@ -74,6 +75,28 @@ def namespace(ns_key):
     return sch
 
 
+def namespace_array(ns_key):
+    '''Construct a validation schema for arrays of a given namespace.
+
+    Parameters
+    ----------
+    ns_key : str
+        Namespace key identifier
+
+    Returns
+    -------
+    schema : dict
+        JSON schema of `namespace` observation arrays
+    '''
+
+    obs_sch = namespace(ns_key)
+    obs_sch['title'] = 'Observation'
+
+    sch = copy.deepcopy(JAMS_SCHEMA['definitions']['SparseObservationList'])
+    sch['items'] = obs_sch
+    return sch
+
+
 def is_dense(ns_key):
     '''Determine whether a namespace has dense formatting.