def test_find_repeats(self):
x = np.asarray([1, 1, 2, 2, 3, 3, 3, 4, 4, 4, 4]).astype('float')
tmp = np.asarray([1, 1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5, 5, 5,
5]).astype('float')
mask = (tmp == 5.)
xm = np.ma.array(tmp, mask=mask)
r = stats.find_repeats(x)
rm = stats.mstats.find_repeats(xm)
assert_equal(r, rm)
def test_empty_result(self):
# Check that empty arrays are returned when there are no repeats.
a = [10, 20, 50, 30, 40]
repeated, counts = stats.find_repeats(a)
assert_array_equal(repeated, [])
assert_array_equal(counts, [])
def test_basic(self):
a = [1,2,3,4,1,2,3,4,1,2,5]
res,nums = stats.find_repeats(a)
assert_array_equal(res,[1,2,3,4])
assert_array_equal(nums,[3,3,2,2])
def test_empty_result(self):
# Check that empty arrays are returned when there are no repeats.
a = [10, 20, 50, 30, 40]
repeated, counts = stats.find_repeats(a)
assert_array_equal(repeated, [])
assert_array_equal(counts, [])
def test_basic(self):
a = [1, 2, 3, 4, 1, 2, 3, 4, 1, 2, 5]
res, nums = stats.find_repeats(a)
assert_array_equal(res, [1, 2, 3, 4])
assert_array_equal(nums, [3, 3, 2, 2])
