1 files changed, 86 insertions, 0 deletions
diff --git a/numpy/numarray/functions.py b/numpy/numarray/functions.py
new file mode 100644
index 000000000..dbea74f81
--- /dev/null
+++ b/numpy/numarray/functions.py
@@ -0,0 +1,86 @@
+
+# missing Numarray defined names (in from numarray import *)
+##__all__ = ['ArrayType', 'CLIP', 'ClassicUnpickler', 'Complex32_fromtype',
+##           'Complex64_fromtype', 'ComplexArray', 'EarlyEOFError', 'Error',
+##           'FileSeekWarning', 'MAX_ALIGN', 'MAX_INT_SIZE', 'MAX_LINE_WIDTH',
+##           'MathDomainError', 'NDArray', 'NewArray', 'NewAxis', 'NumArray',
+##           'NumError', 'NumOverflowError', 'PRECISION', 'Py2NumType',
+##           'PyINT_TYPES', 'PyLevel2Type', 'PyNUMERIC_TYPES', 'PyREAL_TYPES',
+##           'RAISE', 'SLOPPY', 'STRICT', 'SUPPRESS_SMALL', 'SizeMismatchError',
+##           'SizeMismatchWarning', 'SuitableBuffer', 'USING_BLAS',
+##           'UnderflowError', 'UsesOpPriority', 'WARN', 'WRAP', 'all',
+##           'allclose', 'alltrue', 'and_', 'any', 'arange', 'argmax',
+##           'argmin', 'argsort', 'around', 'array2list', 'array_equal',
+##           'array_equiv', 'array_repr', 'array_str', 'arrayprint',
+##           'arrayrange', 'average', 'choose', 'clip',
+##           'codegenerator', 'compress', 'concatenate', 'conjugate',
+##           'copy', 'copy_reg', 'diagonal', 'divide_remainder',
+##           'dotblas', 'e', 'explicit_type', 'flush_caches', 'fromfile',
+##           'fromfunction', 'fromlist', 'fromstring', 'generic',
+##           'genericCoercions', 'genericPromotionExclusions', 'genericTypeRank',
+##           'getShape', 'getTypeObject', 'handleError', 'identity', 'indices',
+##           'info', 'innerproduct', 'inputarray', 'isBigEndian',
+##           'kroneckerproduct', 'lexsort', 'libnumarray', 'libnumeric',
+##           'load', 'make_ufuncs', 'math', 'memory',
+##           'numarrayall', 'numarraycore', 'numerictypes', 'numinclude',
+##           'operator', 'os', 'outerproduct', 'pi', 'put', 'putmask',
+##           'pythonTypeMap', 'pythonTypeRank', 'rank', 'repeat',
+##           'reshape', 'resize', 'round', 'safethread', 'save', 'scalarTypeMap',
+##           'scalarTypes', 'searchsorted', 'session', 'shape', 'sign', 'size',
+##           'sometrue', 'sort', 'swapaxes', 'sys', 'take', 'tcode',
+##           'tensormultiply', 'tname', 'trace', 'transpose', 'typeDict',
+##           'typecode', 'typecodes', 'typeconv', 'types', 'ufunc',
+##           'ufuncFactory', 'value', ]
+
+
+__all__ = ['asarray', 'ones', 'zeros', 'array', 'where']
+__all__ += ['vdot', 'dot', 'matrixmultiply', 'ravel', 'indices',
+            'arange', 'concatenate']
+
+from numpy import dot as matrixmultiply, dot, vdot, ravel
+
+def array(sequence=None, typecode=None, copy=1, savespace=0,
+          type=None, shape=None, dtype=None):
+    dtype = type2dtype(typecode, type, dtype)
+    if sequence is None:
+        if shape is None:
+            return None
+        if dtype is None:
+            dtype = 'l'
+        return N.empty(shape, dtype)
+    arr = N.array(sequence, dtype, copy=copy)
+    if shape is not None:
+        arr.shape = shape
+    return arr
+
+def asarray(seq, type=None, typecode=None, dtype=None):
+    if seq is None:
+        return None
+    dtype = type2dtype(typecode, type, dtype)
+    return N.array(seq, dtype, copy=0)
+
+def ones(shape, type=None, typecode=None, dtype=None):
+    dtype = type2dtype(typecode, type, dtype)
+    return N.ones(shape, dtype)
+
+def zeros(shape, type=None, typecode=None, dtype=None):
+    dtype = type2dtype(typecode, type, dtype)
+    return N.zeros(shape, dtype)
+
+def where(condition, x=None, y=None, out=None):
+    if x is None and y is None:
+        arr = N.where(condition)
+    else:
+        arr = N.where(condition, x, y)
+    if out is not None:
+        out[...] = arr
+        return out
+    return arr
+    
+def indices(shape, type=None):
+    return N.indices(shape, type)
+
+def arange(a1, a2=None, stride=1, type=None, shape=None,
+           typecode=None, dtype=None):
+    dtype = type2dtype(typecode, type, dtype)
+    return N.arange(a1, a2, stride, dtype)