def test_shifts(self):
"""Test that interval bounds are shifted appropriately given the region start and end.
"""
region_start = 1000
region_end = 2000
intervals = []
intervals.append(interval_tree.Interval(500, 2500))
cov_arr = summarize_coverage.project_into_region(
intervals, region_start, region_end)
self.assertEqual(numpy.max(cov_arr), 1)
self.assertEqual(numpy.min(cov_arr), 1)
self.assertEqual(len(cov_arr), 1000)
intervals.append(interval_tree.Interval(500, 1500))
cov_arr = summarize_coverage.project_into_region(
intervals, region_start, region_end)
self.assertTrue(all(cov_arr[:500] == 2))
self.assertTrue(all(cov_arr[500:] == 1))
intervals.append(interval_tree.Interval(1900, 10000))
cov_arr = summarize_coverage.project_into_region(
intervals, region_start, region_end)
self.assertTrue(all(cov_arr[:500] == 2))
self.assertTrue(all(cov_arr[500:900] == 1))
self.assertTrue(all(cov_arr[900:] == 2))
def test_contiguous_gaps(self):
"""Test the counting of contiguous gaps in the coverage array.
"""
region_start = 0
region_end = 100
intervals = []
intervals.append(interval_tree.Interval(50, 55))
cov_arr = summarize_coverage.project_into_region(
intervals, region_start, region_end)
n_gaps, tot_gaps = summarize_coverage.get_gaps_from_coverage(cov_arr)
self.assertEqual(n_gaps, 2)
self.assertEqual(tot_gaps, 95)
intervals.append(interval_tree.Interval(75, 80))
cov_arr = summarize_coverage.project_into_region(
intervals, region_start, region_end)
n_gaps, tot_gaps = summarize_coverage.get_gaps_from_coverage(cov_arr)
self.assertEqual(n_gaps, 3)
self.assertEqual(tot_gaps, 90)
def build_interval_lists(readers):
"""Create a dictionary with RefGroupId keys and values of
intervals of alignment starts and ends for that reference.
"""
interval_lists = defaultdict(list) # keyed by reference group id
for reader in readers:
pbi = reader.pbi
log.debug("{x}".format(x=reader))
for ref_id, start, end in zip(pbi.tId, pbi.tStart, pbi.tEnd):
interval_lists[ref_id].append(interval_tree.Interval(start, end))
log.debug("Created interval lists for {n} references.".format(
n=len(interval_lists)))
return interval_lists
def test_boundaries(self):
"""Test that intervals in the IntervalTree are interpreted
as the usual half-open [start, end) intervals.
"""
interval_list = []
interval_list.append(interval_tree.Interval(5, 10))
interval_list.append(interval_tree.Interval(5, 11))
interval_list.append(interval_tree.Interval(10, 15))
interval_list.append(interval_tree.Interval(20, 25))
itree = interval_tree.IntervalTree(interval_list)
ivals = []
itree.find_overlapping(25, 26, ivals)
self.assertEqual(len(ivals), 0)
ivals = []
itree.find_overlapping(20, 21, ivals)
self.assertEqual(len(ivals), 1)
self.assertEqual(ivals[0].start, 20)
self.assertEqual(ivals[0].stop, 25)
ivals = []
itree.find_overlapping(5, 10, ivals)
self.assertEqual(len(ivals), 2)
self.assertEqual(ivals[0].start, 5)
self.assertEqual(ivals[0].stop, 10)
self.assertEqual(ivals[1].start, 5)
self.assertEqual(ivals[1].stop, 11)
ivals = []
itree.find_overlapping(10, 11, ivals)
self.assertEqual(len(ivals), 2)
self.assertEqual(ivals[0].start, 5)
self.assertEqual(ivals[0].stop, 11)
self.assertEqual(ivals[1].start, 10)
self.assertEqual(ivals[1].stop, 15)
def test_adds_half_open(self):
"""Test that intervals add up correctly and are interpreted as half-open.
"""
region_start = 0
region_end = 100
intervals = []
intervals.append(interval_tree.Interval(5, 10))
intervals.append(interval_tree.Interval(10, 15))
for i in range(10):
intervals.append(interval_tree.Interval(30, 40))
cov_arr = summarize_coverage.project_into_region(
intervals, region_start, region_end)
self.assertEqual(cov_arr[5], 1)
self.assertEqual(cov_arr[10], 1)
self.assertEqual(cov_arr[15], 0)
self.assertEqual(cov_arr[30], 10)
self.assertEqual(cov_arr[40], 0)
self.assertEqual(len(cov_arr), 100)
def test_random_intervals(self):
"""Test random interval lists."""
n_cases = 1000
full_interval_size = 10000
n_regions_to_test = 50
max_intervals = 50
for case in xrange(n_cases):
n_intervals = random.randrange(1, max_intervals)
interval_list = []
for i in xrange(n_intervals):
ival_length = random.randrange(full_interval_size / 10)
ival_start = random.randrange(full_interval_size - ival_length)
ival_end = ival_start + ival_length
interval_list.append(
interval_tree.Interval(ival_start, ival_end))
itree = interval_tree.IntervalTree(interval_list)
test_region_starts = random.sample(range(full_interval_size),
n_regions_to_test)
for test_region_start in test_region_starts:
test_region_length = random.randrange(full_interval_size -
test_region_start)
test_region_end = test_region_start + test_region_length
true_overlapping_intervals = []
for interval in interval_list:
if interval.start < test_region_end and test_region_start < interval.stop:
true_overlapping_intervals.append(interval)
itree_overlapping_intervals = []
itree.find_overlapping(test_region_start, test_region_end,
itree_overlapping_intervals)
self.assertEqual(len(true_overlapping_intervals),
len(itree_overlapping_intervals))
for o_ival in true_overlapping_intervals:
self.assertIn(o_ival, itree_overlapping_intervals)
def test_random_gaps(self):
"""Test random coverage arrays for contiguous gap counting."""
n_cases = 25
full_interval_size = 10000
n_regions_to_test = 50
max_intervals = 10
for case in xrange(n_cases):
n_intervals = random.randrange(1, max_intervals)
interval_list = []
for i in xrange(n_intervals):
ival_length = random.randrange(full_interval_size / 20)
ival_start = random.randrange(full_interval_size - ival_length)
ival_end = ival_start + ival_length
interval_list.append(
interval_tree.Interval(ival_start, ival_end))
cov_arr = summarize_coverage.project_into_region(
interval_list, 0, full_interval_size)
n_gaps, tot_gaps = summarize_coverage.get_gaps_from_coverage(
cov_arr)
exp_n_gaps, exp_tot_gaps = 0, 0
for i in xrange(len(cov_arr) - 1):
if cov_arr[i] == 0:
exp_tot_gaps += 1
if cov_arr[i] != 0 and cov_arr[i + 1] == 0:
exp_n_gaps += 1
if cov_arr[-1] == 0:
exp_tot_gaps += 1
if cov_arr[0] == 0:
exp_n_gaps += 1
self.assertEqual(n_gaps, exp_n_gaps)
self.assertEqual(tot_gaps, exp_tot_gaps)
