# Commits

committed 9b39d93

fix more tests, thanks alex

• Participants
• Parent commits d06444d
• Branches import-numpy

# File pypy/module/micronumpy/app_numpy.py

` import math`
` `
`-import numpypy`
`+import _numpypy`
` `
` `
` inf = float("inf")`
`     return mean(a)`
` `
` def identity(n, dtype=None):`
`-    a = numpypy.zeros((n,n), dtype=dtype)`
`+    a = _numpypy.zeros((n,n), dtype=dtype)`
`     for i in range(n):`
`         a[i][i] = 1`
`     return a`
` `
` def mean(a):`
`     if not hasattr(a, "mean"):`
`-        a = numpypy.array(a)`
`+        a = _numpypy.array(a)`
`     return a.mean()`
` `
` def sum(a):`
`     if not hasattr(a, "sum"):`
`-        a = numpypy.array(a)`
`+        a = _numpypy.array(a)`
`     return a.sum()`
` `
` def min(a):`
`     if not hasattr(a, "min"):`
`-        a = numpypy.array(a)`
`+        a = _numpypy.array(a)`
`     return a.min()`
` `
` def max(a):`
`     if not hasattr(a, "max"):`
`-        a = numpypy.array(a)`
`+        a = _numpypy.array(a)`
`     return a.max()`
` `
` def arange(start, stop=None, step=1, dtype=None):`
`         stop = start`
`         start = 0`
`     if dtype is None:`
`-        test = numpypy.array([start, stop, step, 0])`
`+        test = _numpypy.array([start, stop, step, 0])`
`         dtype = test.dtype`
`-    arr = numpypy.zeros(int(math.ceil((stop - start) / step)), dtype=dtype)`
`+    arr = _numpypy.zeros(int(math.ceil((stop - start) / step)), dtype=dtype)`
`     i = start`
`     for j in range(arr.size):`
`         arr[j] = i`
`     you should assign the new shape to the shape attribute of the array`
` '''`
`     if not hasattr(a, 'reshape'):`
`-        a = numpypy.array(a)`
`+        a = _numpypy.array(a)`
`     return a.reshape(shape)`