Move RecordSensor.py --> record_sensor.py

docs/examples/network/complete-network-example.py

@@ -58,7 +58,7 @@ def createNetwork(dataSource):
   network = Network()
 
   # Add a sensor region.
-  network.addRegion("sensor", "py.RecordSensor", '{}')
+  network.addRegion("sensor", "py.record_sensor", '{}')
 
   # Set the encoder and data source of the sensor region.
   sensorRegion = network.regions["sensor"].getSelf()

docs/examples/network/example-add-sensor-region.py

@@ -1 +1 @@
-network.addRegion("sensor", "py.RecordSensor", '{}')
+network.addRegion("sensor", "py.record_sensor", '{}')

docs/examples/network/example-create-regions.py

@@ -1,7 +1,7 @@
 import json
 
 # Add a sensor region, set its encoder and data source.
-network.addRegion("sensor", "py.RecordSensor", json.dumps({"verbosity": 0}))
+network.addRegion("sensor", "py.record_sensor", json.dumps({"verbosity": 0}))
 
 # Make sure the SP input width matches the sensor region output width.
 model_params["spParams"]["inputWidth"] = sensorRegion.encoder.getWidth()

examples/network/custom_region_demo.py

@@ -68,7 +68,7 @@ def createNetwork(dataSource):
   # Our input is sensor data from the gym file. The RecordSensor region
   # allows us to specify a file record stream as the input source via the
   # dataSource attribute.
-  network.addRegion("sensor", "py.RecordSensor",
+  network.addRegion("sensor", "py.record_sensor",
                     json.dumps({"verbosity": _VERBOSITY}))
   sensor = network.regions["sensor"].getSelf()
   # The RecordSensor needs to know how to encode the input values

examples/network/hierarchy_network_demo.py

@@ -135,7 +135,7 @@ def createRecordSensor(network, name, dataSource):
   """
 
   # Specific type of region. Possible options can be found in /nupic/regions/
-  regionType = "py.RecordSensor"
+  regionType = "py.record_sensor"
 
   # Creates a json from specified dictionary.
   regionParams = json.dumps({"verbosity": _VERBOSITY})

examples/network/network_api_demo.py

@@ -110,7 +110,7 @@ def createNetwork(dataSource):
   # Our input is sensor data from the gym file. The RecordSensor region
   # allows us to specify a file record stream as the input source via the
   # dataSource attribute.
-  network.addRegion("sensor", "py.RecordSensor",
+  network.addRegion("sensor", "py.record_sensor",
                     json.dumps({"verbosity": _VERBOSITY}))
   sensor = network.regions["sensor"].getSelf()
   # The RecordSensor needs to know how to encode the input values

examples/network/temporal_anomaly_network_demo.py

@@ -110,7 +110,7 @@ def createTemporalAnomaly(recordParams, spatialParams=_SP_PARAMS,
 
   network = Network()
 
-  network.addRegion("sensor", "py.RecordSensor",
+  network.addRegion("sensor", "py.record_sensor",
                     json.dumps({"verbosity": verbosity}))
 
   sensor = network.regions["sensor"].getSelf()

examples/opf/clients/cpu/model_params.py

@@ -37,7 +37,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # CPU usage encoder.

examples/opf/clients/hotgym/anomaly/model_params.py

@@ -50,7 +50,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

examples/opf/clients/hotgym/simple/model_params.py

@@ -50,7 +50,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Include the encoders we use

examples/opf/experiments/anomaly/spatial/10field_few_skewed/description.py

@@ -110,7 +110,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

examples/opf/experiments/anomaly/spatial/1field_few_balanced/description.py

@@ -110,7 +110,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

examples/opf/experiments/anomaly/spatial/2field_few_balanced/description.py

@@ -110,7 +110,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

examples/opf/experiments/anomaly/spatial/simple/description.py

@@ -110,7 +110,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

examples/opf/experiments/opfrunexperiment_test/simpleOPF/hotgym_no_agg/description.py

@@ -118,7 +118,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 1,
 
             # Example:

src/nupic/data/stats.py

@@ -24,7 +24,7 @@
 
 from pkg_resources import resource_filename
 
-from nupic.regions.RecordSensor import RecordSensor
+from nupic.regions.record_sensor import RecordSensor
 from nupic.data.file_record_stream import FileRecordStream
 
 

src/nupic/engine/__init__.py

@@ -49,7 +49,7 @@
     ("nupic.regions.KNNClassifierRegion", "KNNClassifierRegion"),
     ("nupic.regions.PluggableEncoderSensor", "PluggableEncoderSensor"),
     ("nupic.regions.PyRegion", "PyRegion"),
-    ("nupic.regions.RecordSensor", "RecordSensor"),
+    ("nupic.regions.record_sensor", "record_sensor"),
     ("nupic.regions.SDRClassifierRegion", "SDRClassifierRegion"),
     ("nupic.regions.SPRegion", "SPRegion"),
     ("nupic.regions.SVMClassifierNode", "SVMClassifierNode"),

src/nupic/frameworks/opf/htm_prediction_model.py

@@ -1082,7 +1082,7 @@ def __createCLANetwork(self, sensorParams, spEnable, spParams, tmEnable,
 
     #--------------------------------------------------
     # Add the Sensor
-    n.addRegion("sensor", "py.RecordSensor", json.dumps(dict(verbosity=sensorParams['verbosity'])))
+    n.addRegion("sensor", "py.record_sensor", json.dumps(dict(verbosity=sensorParams['verbosity'])))
     sensor = n.regions['sensor'].getSelf()
 
     enabledEncoders = copy.deepcopy(sensorParams['encoders'])

src/nupic/regions/RecordSensor.py → src/nupic/regions/record_sensor.py

@@ -82,7 +82,7 @@ class RecordSensor(PyRegion):
   from nupic.data.file.file_record_stream import FileRecordStream
 
   n = Network()
-  s = n.addRegion("sensor", "py.RecordSensor", "")
+  s = n.addRegion("sensor", "py.record_sensor", "")
   mysource = FileRecordStream("mydata.txt")
   myencoder = MultiEncoder()
   ... set up myencoder ...

tests/integration/nupic/engine/network_checkpoint_test.py

@@ -23,7 +23,7 @@
 import numpy
 
 from nupic.regions.SPRegion import SPRegion
-from nupic.regions.RecordSensor import RecordSensor
+from nupic.regions.record_sensor import RecordSensor
 
 from network_creation_common import createAndRunNetwork
 

tests/integration/nupic/engine/network_creation_common.py

@@ -29,7 +29,7 @@
 from nupic.data.file_record_stream import FileRecordStream
 from nupic.engine import Network
 from nupic.encoders import MultiEncoder, ScalarEncoder, DateEncoder
-from nupic.regions.RecordSensor import RecordSensor
+from nupic.regions.record_sensor import RecordSensor
 from nupic.regions.SPRegion import SPRegion
 from nupic.regions.TMRegion import TMRegion
 
@@ -119,7 +119,7 @@ def createNetwork(dataSource, enableTP=False, temporalImp="py"):
   # Our input is sensor data from the gym file. The RecordSensor region
   # allows us to specify a file record stream as the input source via the
   # dataSource attribute.
-  network.addRegion("sensor", "py.RecordSensor",
+  network.addRegion("sensor", "py.record_sensor",
                     json.dumps({"verbosity": _VERBOSITY}))
   sensor = network.regions["sensor"].getSelf()
   # The RecordSensor needs to know how to encode the input values

tests/integration/nupic/opf/opf_checkpoint_test/experiments/backwards_compatibility/a/savedmodels_2012-10-05/DefaultTask.nta/modelextradata/TemporalAnomaly-network.nta/network.yaml

@@ -1,7 +1,7 @@
 Version: 2
 Regions:
   - name: sensor
-    nodeType: py.RecordSensor
+    nodeType: py.record_sensor
     dimensions:
       - 1
     phases:

tests/integration/nupic/opf/opf_checkpoint_test/experiments/backwards_compatibility/base.py

@@ -121,7 +121,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : VERBOSITY,
 
             # Example:

tests/integration/nupic/opf/opf_region_test.py

@@ -151,7 +151,7 @@ def _createOPFNetwork(addSP = True, addTP = False):
   # ==========================================================================
   # Now create the network itself
   n = Network()
-  n.addRegion("sensor", "py.RecordSensor", json.dumps(sensorParams))
+  n.addRegion("sensor", "py.record_sensor", json.dumps(sensorParams))
 
   sensor = n.regions['sensor'].getSelf()
   sensor.encoder = encoder

tests/integration/nupic/regions/multiclass_knn_test.py

@@ -69,7 +69,7 @@ def testSimpleMulticlassNetwork(self):
 
     # Create the network and get region instances.
     net = Network()
-    net.addRegion("sensor", "py.RecordSensor", "{'numCategories': 3}")
+    net.addRegion("sensor", "py.record_sensor", "{'numCategories': 3}")
     net.addRegion("classifier","py.KNNClassifierRegion",
                   "{'k': 2,'distThreshold': 0,'maxCategoryCount': 3}")
     net.link("sensor", "classifier", "UniformLink", "",

tests/integration/nupic/regions/single_step_sdr_classifier_test.py

@@ -70,7 +70,7 @@ def testSimpleMulticlassNetworkPY(self):
 
     # Create the network and get region instances.
     net = Network()
-    net.addRegion("sensor", "py.RecordSensor", "{'numCategories': 3}")
+    net.addRegion("sensor", "py.record_sensor", "{'numCategories': 3}")
     net.addRegion("classifier", "py.SDRClassifierRegion",
                   "{steps: '0', alpha: 0.001, implementation: 'py'}")
     net.link("sensor", "classifier", "UniformLink", "",
@@ -153,7 +153,7 @@ def testSimpleMulticlassNetworkCPP(self):
 
     # Create the network and get region instances.
     net = Network()
-    net.addRegion("sensor", "py.RecordSensor", "{'numCategories': 3}")
+    net.addRegion("sensor", "py.record_sensor", "{'numCategories': 3}")
     net.addRegion("classifier", "py.SDRClassifierRegion",
                   "{steps: '0', alpha: 0.001, implementation: 'cpp'}")
     net.link("sensor", "classifier", "UniformLink", "",

tests/swarming/nupic/swarming/experiments/delta/description.py

@@ -116,7 +116,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

tests/swarming/nupic/swarming/experiments/input_predicted_field/description.py

@@ -87,7 +87,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

tests/swarming/nupic/swarming/experiments/simpleV2/description.py

@@ -119,7 +119,7 @@
             # Sensor diagnostic output verbosity control;
             # if > 0: sensor region will print out on screen what it's sensing
             # at each step 0: silent; >=1: some info; >=2: more info;
-            # >=3: even more info (see compute() in py/regions/RecordSensor.py)
+            # >=3: even more info (see compute() in py/regions/record_sensor.py)
             'verbosity' : 0,
 
             # Example:

tests/unit/nupic/data/filters_test.py

@@ -30,7 +30,7 @@
 import unittest2 as unittest
 from pkg_resources import resource_filename
 
-from nupic.regions.RecordSensor import RecordSensor
+from nupic.regions.record_sensor import RecordSensor
 from nupic.data.file_record_stream import FileRecordStream
 from nupic.encoders import MultiEncoder
 from nupic.data.filters import DeltaFilter

tests/unit/nupic/regions/record_sensor_region_test.py

@@ -33,7 +33,7 @@
 def _createNetwork():
   """Create network with one RecordSensor region."""
   network = Network()
-  network.addRegion('sensor', 'py.RecordSensor', '{}')
+  network.addRegion('sensor', 'py.record_sensor', '{}')
   sensorRegion = network.regions['sensor'].getSelf()
 
   # Add an encoder.
@@ -69,7 +69,7 @@ def testVaryingNumberOfCategories(self):
     # Setup network with sensor; max number of categories = 2
     net = Network()
     sensorRegion = net.addRegion(
-      "sensor", "py.RecordSensor", "{'numCategories': 2}")
+      "sensor", "py.record_sensor", "{'numCategories': 2}")
     sensor = sensorRegion.getSelf()
 
     # Test for # of output categories = max

tests/unit/nupic/regions/sdr_classifier_region_test.py

@@ -33,7 +33,7 @@ def _createNetwork():
   """Create a network with a RecordSensor region and a SDRClassifier region"""
 
   network = Network()
-  network.addRegion('sensor', 'py.RecordSensor', '{}')
+  network.addRegion('sensor', 'py.record_sensor', '{}')
   network.addRegion('classifier', 'py.SDRClassifierRegion', '{}')
   _createSensorToClassifierLinks(network, 'sensor', 'classifier')