Create a branch for io work in NumPy

1 files changed, 412 insertions, 0 deletions

diff --git a/tests/test_shape_base.py b/tests/test_shape_base.py
new file mode 100644
index 000000000..320871a95
--- /dev/null
+++ b/tests/test_shape_base.py
@@ -0,0 +1,412 @@
+from numpy.testing import *
+set_package_path()
+import numpy.lib;
+from numpy.lib import *
+from numpy.core import *
+restore_path()
+
+class TestApplyAlongAxis(NumpyTestCase):
+    def check_simple(self):
+        a = ones((20,10),'d')
+        assert_array_equal(apply_along_axis(len,0,a),len(a)*ones(shape(a)[1]))
+    def check_simple101(self,level=11):
+        a = ones((10,101),'d')
+        assert_array_equal(apply_along_axis(len,0,a),len(a)*ones(shape(a)[1]))
+
+    def check_3d(self):
+        a = arange(27).reshape((3,3,3))
+        assert_array_equal(apply_along_axis(sum,0,a), [[27,30,33],[36,39,42],[45,48,51]])
+
+class TestArraySplit(NumpyTestCase):
+    def check_integer_0_split(self):
+        a = arange(10)
+        try:
+            res = array_split(a,0)
+            assert(0) # it should have thrown a value error
+        except ValueError:
+            pass
+    def check_integer_split(self):
+        a = arange(10)
+        res = array_split(a,1)
+        desired = [arange(10)]
+        compare_results(res,desired)
+
+        res = array_split(a,2)
+        desired = [arange(5),arange(5,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,3)
+        desired = [arange(4),arange(4,7),arange(7,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,4)
+        desired = [arange(3),arange(3,6),arange(6,8),arange(8,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,5)
+        desired = [arange(2),arange(2,4),arange(4,6),arange(6,8),arange(8,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,6)
+        desired = [arange(2),arange(2,4),arange(4,6),arange(6,8),arange(8,9),
+                   arange(9,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,7)
+        desired = [arange(2),arange(2,4),arange(4,6),arange(6,7),arange(7,8),
+                   arange(8,9), arange(9,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,8)
+        desired = [arange(2),arange(2,4),arange(4,5),arange(5,6),arange(6,7),
+                   arange(7,8), arange(8,9), arange(9,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,9)
+        desired = [arange(2),arange(2,3),arange(3,4),arange(4,5),arange(5,6),
+                   arange(6,7), arange(7,8), arange(8,9), arange(9,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,10)
+        desired = [arange(1),arange(1,2),arange(2,3),arange(3,4),
+                   arange(4,5),arange(5,6), arange(6,7), arange(7,8),
+                   arange(8,9), arange(9,10)]
+        compare_results(res,desired)
+
+        res = array_split(a,11)
+        desired = [arange(1),arange(1,2),arange(2,3),arange(3,4),
+                   arange(4,5),arange(5,6), arange(6,7), arange(7,8),
+                   arange(8,9), arange(9,10),array([])]
+        compare_results(res,desired)
+    def check_integer_split_2D_rows(self):
+        a = array([arange(10),arange(10)])
+        res = array_split(a,3,axis=0)
+        desired = [array([arange(10)]),array([arange(10)]),array([])]
+        compare_results(res,desired)
+    def check_integer_split_2D_cols(self):
+        a = array([arange(10),arange(10)])
+        res = array_split(a,3,axis=-1)
+        desired = [array([arange(4),arange(4)]),
+                   array([arange(4,7),arange(4,7)]),
+                   array([arange(7,10),arange(7,10)])]
+        compare_results(res,desired)
+    def check_integer_split_2D_default(self):
+        """ This will fail if we change default axis
+        """
+        a = array([arange(10),arange(10)])
+        res = array_split(a,3)
+        desired = [array([arange(10)]),array([arange(10)]),array([])]
+        compare_results(res,desired)
+    #perhaps should check higher dimensions
+
+    def check_index_split_simple(self):
+        a = arange(10)
+        indices = [1,5,7]
+        res = array_split(a,indices,axis=-1)
+        desired = [arange(0,1),arange(1,5),arange(5,7),arange(7,10)]
+        compare_results(res,desired)
+
+    def check_index_split_low_bound(self):
+        a = arange(10)
+        indices = [0,5,7]
+        res = array_split(a,indices,axis=-1)
+        desired = [array([]),arange(0,5),arange(5,7),arange(7,10)]
+        compare_results(res,desired)
+    def check_index_split_high_bound(self):
+        a = arange(10)
+        indices = [0,5,7,10,12]
+        res = array_split(a,indices,axis=-1)
+        desired = [array([]),arange(0,5),arange(5,7),arange(7,10),
+                   array([]),array([])]
+        compare_results(res,desired)
+
+class TestSplit(NumpyTestCase):
+    """* This function is essentially the same as array_split,
+         except that it test if splitting will result in an
+         equal split.  Only test for this case.
+    *"""
+    def check_equal_split(self):
+        a = arange(10)
+        res = split(a,2)
+        desired = [arange(5),arange(5,10)]
+        compare_results(res,desired)
+
+    def check_unequal_split(self):
+        a = arange(10)
+        try:
+            res = split(a,3)
+            assert(0) # should raise an error
+        except ValueError:
+            pass
+
+class TestAtleast1d(NumpyTestCase):
+    def check_0D_array(self):
+        a = array(1); b = array(2);
+        res=map(atleast_1d,[a,b])
+        desired = [array([1]),array([2])]
+        assert_array_equal(res,desired)
+    def check_1D_array(self):
+        a = array([1,2]); b = array([2,3]);
+        res=map(atleast_1d,[a,b])
+        desired = [array([1,2]),array([2,3])]
+        assert_array_equal(res,desired)
+    def check_2D_array(self):
+        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
+        res=map(atleast_1d,[a,b])
+        desired = [a,b]
+        assert_array_equal(res,desired)
+    def check_3D_array(self):
+        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
+        a = array([a,a]);b = array([b,b]);
+        res=map(atleast_1d,[a,b])
+        desired = [a,b]
+        assert_array_equal(res,desired)
+    def check_r1array(self):
+        """ Test to make sure equivalent Travis O's r1array function
+        """
+        assert(atleast_1d(3).shape == (1,))
+        assert(atleast_1d(3j).shape == (1,))
+        assert(atleast_1d(3L).shape == (1,))
+        assert(atleast_1d(3.0).shape == (1,))
+        assert(atleast_1d([[2,3],[4,5]]).shape == (2,2))
+
+class TestAtleast2d(NumpyTestCase):
+    def check_0D_array(self):
+        a = array(1); b = array(2);
+        res=map(atleast_2d,[a,b])
+        desired = [array([[1]]),array([[2]])]
+        assert_array_equal(res,desired)
+    def check_1D_array(self):
+        a = array([1,2]); b = array([2,3]);
+        res=map(atleast_2d,[a,b])
+        desired = [array([[1,2]]),array([[2,3]])]
+        assert_array_equal(res,desired)
+    def check_2D_array(self):
+        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
+        res=map(atleast_2d,[a,b])
+        desired = [a,b]
+        assert_array_equal(res,desired)
+    def check_3D_array(self):
+        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
+        a = array([a,a]);b = array([b,b]);
+        res=map(atleast_2d,[a,b])
+        desired = [a,b]
+        assert_array_equal(res,desired)
+    def check_r2array(self):
+        """ Test to make sure equivalent Travis O's r2array function
+        """
+        assert(atleast_2d(3).shape == (1,1))
+        assert(atleast_2d([3j,1]).shape == (1,2))
+        assert(atleast_2d([[[3,1],[4,5]],[[3,5],[1,2]]]).shape == (2,2,2))
+
+class TestAtleast3d(NumpyTestCase):
+    def check_0D_array(self):
+        a = array(1); b = array(2);
+        res=map(atleast_3d,[a,b])
+        desired = [array([[[1]]]),array([[[2]]])]
+        assert_array_equal(res,desired)
+    def check_1D_array(self):
+        a = array([1,2]); b = array([2,3]);
+        res=map(atleast_3d,[a,b])
+        desired = [array([[[1],[2]]]),array([[[2],[3]]])]
+        assert_array_equal(res,desired)
+    def check_2D_array(self):
+        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
+        res=map(atleast_3d,[a,b])
+        desired = [a[:,:,newaxis],b[:,:,newaxis]]
+        assert_array_equal(res,desired)
+    def check_3D_array(self):
+        a = array([[1,2],[1,2]]); b = array([[2,3],[2,3]]);
+        a = array([a,a]);b = array([b,b]);
+        res=map(atleast_3d,[a,b])
+        desired = [a,b]
+        assert_array_equal(res,desired)
+
+class TestHstack(NumpyTestCase):
+    def check_0D_array(self):
+        a = array(1); b = array(2);
+        res=hstack([a,b])
+        desired = array([1,2])
+        assert_array_equal(res,desired)
+    def check_1D_array(self):
+        a = array([1]); b = array([2]);
+        res=hstack([a,b])
+        desired = array([1,2])
+        assert_array_equal(res,desired)
+    def check_2D_array(self):
+        a = array([[1],[2]]); b = array([[1],[2]]);
+        res=hstack([a,b])
+        desired = array([[1,1],[2,2]])
+        assert_array_equal(res,desired)
+
+class TestVstack(NumpyTestCase):
+    def check_0D_array(self):
+        a = array(1); b = array(2);
+        res=vstack([a,b])
+        desired = array([[1],[2]])
+        assert_array_equal(res,desired)
+    def check_1D_array(self):
+        a = array([1]); b = array([2]);
+        res=vstack([a,b])
+        desired = array([[1],[2]])
+        assert_array_equal(res,desired)
+    def check_2D_array(self):
+        a = array([[1],[2]]); b = array([[1],[2]]);
+        res=vstack([a,b])
+        desired = array([[1],[2],[1],[2]])
+        assert_array_equal(res,desired)
+    def check_2D_array2(self):
+        a = array([1,2]); b = array([1,2]);
+        res=vstack([a,b])
+        desired = array([[1,2],[1,2]])
+        assert_array_equal(res,desired)
+
+class TestDstack(NumpyTestCase):
+    def check_0D_array(self):
+        a = array(1); b = array(2);
+        res=dstack([a,b])
+        desired = array([[[1,2]]])
+        assert_array_equal(res,desired)
+    def check_1D_array(self):
+        a = array([1]); b = array([2]);
+        res=dstack([a,b])
+        desired = array([[[1,2]]])
+        assert_array_equal(res,desired)
+    def check_2D_array(self):
+        a = array([[1],[2]]); b = array([[1],[2]]);
+        res=dstack([a,b])
+        desired = array([[[1,1]],[[2,2,]]])
+        assert_array_equal(res,desired)
+    def check_2D_array2(self):
+        a = array([1,2]); b = array([1,2]);
+        res=dstack([a,b])
+        desired = array([[[1,1],[2,2]]])
+        assert_array_equal(res,desired)
+
+""" array_split has more comprehensive test of splitting.
+    only do simple test on hsplit, vsplit, and dsplit
+"""
+class TestHsplit(NumpyTestCase):
+    """ only testing for integer splits.
+    """
+    def check_0D_array(self):
+        a= array(1)
+        try:
+            hsplit(a,2)
+            assert(0)
+        except ValueError:
+            pass
+    def check_1D_array(self):
+        a= array([1,2,3,4])
+        res = hsplit(a,2)
+        desired = [array([1,2]),array([3,4])]
+        compare_results(res,desired)
+    def check_2D_array(self):
+        a= array([[1,2,3,4],
+                  [1,2,3,4]])
+        res = hsplit(a,2)
+        desired = [array([[1,2],[1,2]]),array([[3,4],[3,4]])]
+        compare_results(res,desired)
+
+class TestVsplit(NumpyTestCase):
+    """ only testing for integer splits.
+    """
+    def check_1D_array(self):
+        a= array([1,2,3,4])
+        try:
+            vsplit(a,2)
+            assert(0)
+        except ValueError:
+            pass
+    def check_2D_array(self):
+        a= array([[1,2,3,4],
+                  [1,2,3,4]])
+        res = vsplit(a,2)
+        desired = [array([[1,2,3,4]]),array([[1,2,3,4]])]
+        compare_results(res,desired)
+
+class TestDsplit(NumpyTestCase):
+    """ only testing for integer splits.
+    """
+    def check_2D_array(self):
+        a= array([[1,2,3,4],
+                  [1,2,3,4]])
+        try:
+            dsplit(a,2)
+            assert(0)
+        except ValueError:
+            pass
+    def check_3D_array(self):
+        a= array([[[1,2,3,4],
+                   [1,2,3,4]],
+                  [[1,2,3,4],
+                   [1,2,3,4]]])
+        res = dsplit(a,2)
+        desired = [array([[[1,2],[1,2]],[[1,2],[1,2]]]),
+                   array([[[3,4],[3,4]],[[3,4],[3,4]]])]
+        compare_results(res,desired)
+
+class TestSqueeze(NumpyTestCase):
+    def check_basic(self):
+        a = rand(20,10,10,1,1)
+        b = rand(20,1,10,1,20)
+        c = rand(1,1,20,10)
+        assert_array_equal(squeeze(a),reshape(a,(20,10,10)))
+        assert_array_equal(squeeze(b),reshape(b,(20,10,20)))
+        assert_array_equal(squeeze(c),reshape(c,(20,10)))
+
+class TestKron(NumpyTestCase):
+    def check_return_type(self):
+        a = ones([2,2])
+        m = asmatrix(a)
+        assert_equal(type(kron(a,a)), ndarray)
+        assert_equal(type(kron(m,m)), matrix)
+        assert_equal(type(kron(a,m)), matrix)
+        assert_equal(type(kron(m,a)), matrix)
+        class myarray(ndarray):
+            __array_priority__ = 0.0
+        ma = myarray(a.shape, a.dtype, a.data)
+        assert_equal(type(kron(a,a)), ndarray)
+        assert_equal(type(kron(ma,ma)), myarray)
+        assert_equal(type(kron(a,ma)), ndarray)
+        assert_equal(type(kron(ma,a)), myarray)
+
+
+class TestTile(NumpyTestCase):
+    def check_basic(self):
+        a = array([0,1,2])
+        b = [[1,2],[3,4]]
+        assert_equal(tile(a,2), [0,1,2,0,1,2])
+        assert_equal(tile(a,(2,2)), [[0,1,2,0,1,2],[0,1,2,0,1,2]])
+        assert_equal(tile(a,(1,2)), [[0,1,2,0,1,2]])
+        assert_equal(tile(b, 2), [[1,2,1,2],[3,4,3,4]])
+        assert_equal(tile(b,(2,1)),[[1,2],[3,4],[1,2],[3,4]])
+        assert_equal(tile(b,(2,2)),[[1,2,1,2],[3,4,3,4],
+                                    [1,2,1,2],[3,4,3,4]])
+
+    def check_empty(self):
+        a = array([[[]]])
+        d = tile(a,(3,2,5)).shape
+        assert_equal(d,(3,2,0))
+
+    def check_kroncompare(self):
+        import numpy.random as nr
+        reps=[(2,),(1,2),(2,1),(2,2),(2,3,2),(3,2)]
+        shape=[(3,),(2,3),(3,4,3),(3,2,3),(4,3,2,4),(2,2)]
+        for s in shape:
+            b = nr.randint(0,10,size=s)
+            for r in reps:
+                a = ones(r, b.dtype)
+                large = tile(b, r)
+                klarge = kron(a, b)
+                assert_equal(large, klarge)
+
+# Utility
+
+def compare_results(res,desired):
+    for i in range(len(desired)):
+        assert_array_equal(res[i],desired[i])
+
+
+if __name__ == "__main__":
+    NumpyTest().run()