3 files changed, 46 insertions, 44 deletions
diff --git a/numpy/core/defmatrix.py b/numpy/core/defmatrix.py
index 1707e49fd..97602918d 100644
--- a/numpy/core/defmatrix.py
+++ b/numpy/core/defmatrix.py
@@ -3,7 +3,7 @@ __all__ = ['matrix', 'bmat', 'mat', 'asmatrix']
 import sys
 import numeric as N
 from numeric import concatenate, isscalar, binary_repr, identity
-from numpy.lib.utils import issubdtype
+from numerictypes import issubdtype
 
 # make translation table
 _table = [None]*256
diff --git a/numpy/core/numerictypes.py b/numpy/core/numerictypes.py
index 548740eb1..ad555f2e0 100644
--- a/numpy/core/numerictypes.py
+++ b/numpy/core/numerictypes.py
@@ -484,6 +484,49 @@ def obj2sctype(rep, default=None):
     return res.type
 
 
+def issubclass_(arg1, arg2):
+    try:
+        return issubclass(arg1, arg2)
+    except TypeError:
+        return False
+
+def issubsctype(arg1, arg2):
+    return issubclass(obj2sctype(arg1), obj2sctype(arg2))
+
+def issubdtype(arg1, arg2):
+    """
+    Returns True if first argument is a typecode lower/equal in type hierarchy.
+
+    Parameters
+    ----------
+    arg1 : dtype_like
+        dtype or string representing a typecode.
+    arg2 : dtype_like
+        dtype or string representing a typecode.
+
+
+    See Also
+    --------
+    numpy.core.numerictypes : Overview of numpy type hierarchy.
+
+    Examples
+    --------
+    >>> np.issubdtype('S1', str)
+    True
+    >>> np.issubdtype(np.float64, np.float32)
+    False
+
+    """
+    if issubclass_(arg2, generic):
+        return issubclass(dtype(arg1).type, arg2)
+    mro = dtype(arg2).type.mro()
+    if len(mro) > 1:
+        val = mro[1]
+    else:
+        val = mro[0]
+    return issubclass(dtype(arg1).type, val)
+
+
 # This dictionary allows look up based on any alias for an array data-type
 class _typedict(dict):
     def __getitem__(self, obj):
diff --git a/numpy/lib/utils.py b/numpy/lib/utils.py
index bb162bfd3..684876591 100644
--- a/numpy/lib/utils.py
+++ b/numpy/lib/utils.py
@@ -4,7 +4,8 @@ import pkgutil
 import types
 import re
 
-from numpy.core.numerictypes import obj2sctype, generic
+from numpy.core.numerictypes import obj2sctype, generic, issubclass_, \
+    issubsctype, issubdtype
 from numpy.core.multiarray import dtype as _dtype
 from numpy.core import product, ndarray
 
@@ -14,48 +15,6 @@ __all__ = ['issubclass_', 'get_numpy_include', 'issubsctype',
            'get_include', 'info', 'source', 'who', 'lookfor',
            'byte_bounds', 'may_share_memory', 'safe_eval']
 
-def issubclass_(arg1, arg2):
-    try:
-        return issubclass(arg1, arg2)
-    except TypeError:
-        return False
-
-def issubsctype(arg1, arg2):
-    return issubclass(obj2sctype(arg1), obj2sctype(arg2))
-
-def issubdtype(arg1, arg2):
-    """
-    Returns True if first argument is a typecode lower/equal in type hierarchy.
-
-    Parameters
-    ----------
-    arg1 : dtype_like
-        dtype or string representing a typecode.
-    arg2 : dtype_like
-        dtype or string representing a typecode.
-
-
-    See Also
-    --------
-    numpy.core.numerictypes : Overview of numpy type hierarchy.
-
-    Examples
-    --------
-    >>> np.issubdtype('S1', str)
-    True
-    >>> np.issubdtype(np.float64, np.float32)
-    False
-
-    """
-    if issubclass_(arg2, generic):
-        return issubclass(_dtype(arg1).type, arg2)
-    mro = _dtype(arg2).type.mro()
-    if len(mro) > 1:
-        val = mro[1]
-    else:
-        val = mro[0]
-    return issubclass(_dtype(arg1).type, val)
-
 def get_include():
     """
     Return the directory that contains the numpy \\*.h header files.