Author: Justin Peel <notmuchtot...@gmail.com>
Branch: numpy-dtype
Changeset: r46233:52e1f875ee0d
Date: 2011-08-03 00:56 -0600
http://bitbucket.org/pypy/pypy/changeset/52e1f875ee0d/

Log:    use longer strings to specify dtypes

diff --git a/pypy/module/micronumpy/interp_dtype.py 
b/pypy/module/micronumpy/interp_dtype.py
--- a/pypy/module/micronumpy/interp_dtype.py
+++ b/pypy/module/micronumpy/interp_dtype.py
@@ -52,6 +52,15 @@
 
 kind_dict = {'b': 0, 'u': 1, 'i': 1, 'f': 2, 'c': 2}
 
+# this probably doesn't contain all possibilities yet
+num_dict = {'b1': Bool_num, 'i1': Int8_num, 'i2': Int16_num, 'i4': Int32_num,
+            'i8': Int64_num, 'f4': Float32_num, 'f8': Float64_num, 
+            'f12': Float96_num,
+            'bool': Bool_num, 'bool8': Bool_num, 'int8': Int8_num,
+            'int16': Int16_num, 'int32': Int32_num, 'int64': Int64_num,
+            'float32': Float32_num, 'float64': Float64_num,
+            'float96': Float96_num}
+
 class Dtype(Wrappable):
     # attributes: type, kind, typeobj?(I think it should point to np.float64 or
     # the like), byteorder, flags, type_num, elsize, alignment, subarray,
@@ -170,7 +179,9 @@
             dtype = _dtype_list[typenum]
             if typenum != -1 and dtype is not None:
                 return _dtype_list[typenum]
-        # XXX: need to put in 2 letters strings
+        # XXX: can improve this part. will need to for endianness
+        if s in num_dict:
+            return _dtype_list[num_dict[s]]
         raise OperationError(space.w_ValueError,
                             space.wrap("type not recognized"))
     elif space.is_true(space.isinstance(w_string_or_type, space.w_type)):
diff --git a/pypy/module/micronumpy/test/test_dtypes.py 
b/pypy/module/micronumpy/test/test_dtypes.py
--- a/pypy/module/micronumpy/test/test_dtypes.py
+++ b/pypy/module/micronumpy/test/test_dtypes.py
@@ -8,6 +8,8 @@
         d = dtype('l')
         assert d.num == 7
         assert d.kind == 'i'
+        assert dtype('int8').num == 1
+        assert dtype('i1').num == 1
 
     def test_dtype_with_types(self):
         from numpy import dtype
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