Remove explicit derivations from object

No longer required with Python 3 and Python 2 support was dropped.

Closes #241.

nengo_spa/ast/base.py

@@ -20,7 +20,7 @@ def infer_types(*nodes):
     return type_
 
 
-class Node(object):
+class Node:
     """Base class for nodes in the AST for Nengo SPA operations.
 
     Parameters
@@ -74,7 +74,7 @@ def evaluate(self):
         raise NotImplementedError()
 
 
-class TypeCheckedBinaryOp(object):
+class TypeCheckedBinaryOp:
     """Decorator to check the type of the *other* parameter of an operator.
 
     If the *other* parameter is not an instance of *expected_type*,

nengo_spa/ast/symbolic.py

@@ -143,7 +143,7 @@ def __repr__(self):
         return "PointerSymbol({!r}, {!r})".format(self.expr, self.type)
 
 
-class PointerSymbolFactory(object):
+class PointerSymbolFactory:
     """Provides syntactic sugar to create *PointerSymbol* instances.
 
     Use the `.sym` instance of this class to create *PointerSymbols* like so::

nengo_spa/conftest.py

@@ -16,7 +16,7 @@ def Simulator(request):
 from nengo_spa.algebras.vtb_algebra import VtbAlgebra
 
 
-class TestConfig(object):
+class TestConfig:
     """Parameters affecting all Nengo SPA testes.
 
     These are essentially global variables used by py.test to modify aspects

nengo_spa/connectors.py

@@ -61,7 +61,7 @@ def as_sink(obj):
         return ModuleInput(input_, TVocabulary(vocab))
 
 
-class ModuleInput(object):
+class ModuleInput:
     """Represents the input to a module with type information.
 
     Supports the ``>>`` operator to provide input from an AST node. It will
@@ -92,7 +92,7 @@ def __rrshift__(self, other):
             other.connect_to(self.input)
 
 
-class RoutedConnection(object):
+class RoutedConnection:
     """Represents a routed connection from an AST node to a `.ModuleInput`.
 
     A routed connection is passed through an inhibitable channel to allow the
@@ -135,7 +135,7 @@ def transform(self):
             return np.atleast_2d(self.source.evaluate().v).T
 
 
-class SpaOperatorMixin(object):
+class SpaOperatorMixin:
     """Mixin class that implements the SPA operators.
 
     All operands will be converted to AST node and the implementation of the
@@ -184,7 +184,7 @@ def translate(self, vocab, populate=None, keys=None, solver=None):
         return as_ast_node(self).translate(vocab, populate, keys, solver)
 
 
-class ConnectorRegistry(object):
+class ConnectorRegistry:
     """Registry associating connectors with vocabularies and enable SPA syntax.
 
     A connector is either an input or output to a SPA module.

nengo_spa/modules/basalganglia.py

@@ -10,7 +10,7 @@
 
 
 # connection weights from (Gurney, Prescott, & Redgrave, 2001)
-class Weights(object):
+class Weights:
     mm = 1
     mp = 1
     me = 1

nengo_spa/modules/tests/test_transcode.py

@@ -125,7 +125,7 @@ def test_passthrough(Simulator, seed):
 
 
 def test_decode(Simulator, seed):
-    class OutputFn(object):
+    class OutputFn:
         def __init__(self):
             self.called = False
 

nengo_spa/modules/transcode.py

@@ -11,7 +11,7 @@
 from nengo_spa.vocabulary import VocabularyOrDimParam
 
 
-class SpArrayExtractor(object):
+class SpArrayExtractor:
     def __init__(self, vocab):
         self.vocab = vocab
 

nengo_spa/network.py

@@ -17,7 +17,7 @@
 from nengo_spa.vocabulary import VocabularyMap, VocabularyMapParam
 
 
-class _AutoConfig(object):
+class _AutoConfig:
     def __init__(self, cfg):
         self._cfg = cfg
 

nengo_spa/tests/test_vocabulary.py

@@ -318,7 +318,7 @@ def test_vocabulary_set(rng):
 
 
 def test_vocabulary_map_param():
-    class Test(object):
+    class Test:
         vocab_map = VocabularyMapParam("vocab_map", readonly=False)
 
     obj = Test()
@@ -341,7 +341,7 @@ def test_vocabulary_or_dim_param():
     v16 = Vocabulary(16)
     v32 = Vocabulary(32)
 
-    class Test(object):
+    class Test:
         vocabs = VocabularyMap([v16])
         vocab = VocabularyOrDimParam("vocab", readonly=False)
 

nengo_spa/types.py

@@ -3,7 +3,7 @@
 from nengo_spa.exceptions import SpaTypeError
 
 
-class Type(object):
+class Type:
     """Describes a type.
 
     Types can be compared and by default two types are considered to be equal

nengo_spa/vector_generation.py

@@ -29,7 +29,7 @@ def AxisAlignedVectors(d):
         yield v
 
 
-class UnitLengthVectors(object):
+class UnitLengthVectors:
     """Generator for uniformly distributed unit-length vectors.
 
     Parameters
@@ -59,7 +59,7 @@ def next(self):
         return self.__next__()
 
 
-class UnitaryVectors(object):
+class UnitaryVectors:
     """Generator for unitary vectors (given some binding method).
 
     Parameters
@@ -90,7 +90,7 @@ def next(self):
         return self.__next__()
 
 
-class OrthonormalVectors(object):
+class OrthonormalVectors:
     """Generator for random orthonormal vectors.
 
     Parameters
@@ -130,7 +130,7 @@ def next(self):
         return self.__next__()
 
 
-class ExpectedUnitLengthVectors(object):
+class ExpectedUnitLengthVectors:
     r"""Generator for vectors with expected unit-length.
 
     The vectors will be uniformly distributed with an expected norm