def test_get_overlap_n4():
print("tests condition when (+) newPeak doesn't overlap region")
peak = neg_chr1_5_15()
region = neg_chr1_0_5()
expect_overlap = pd.Series(
data=[0,0,0,0,0],
index=range(5)
)
test_overlap = intervals.get_overlap(peak, region)
print('test', test_overlap)
print('expect', expect_overlap)
assert_series_equal(test_overlap, expect_overlap)
def test_get_overlap_n7():
print("tests condition when (-) newPeak completely overlaps region")
peak = neg_chr1_5_15()
region = neg_chr1_5_15()
expect_overlap = pd.Series(
data=[.1,.1,.1,.1,.1,.1,.1,.1,.1,.1],
index=range(10)
)
test_overlap = intervals.get_overlap(peak, region, 'fraction_region')
print('test', test_overlap)
print('expect', expect_overlap)
assert_series_equal(test_overlap, expect_overlap)
def test_get_overlap_p3():
print("tests condition when (+) newPeak completely overlaps region")
peak = pos_chr1_5_15()
region = pos_chr1_5_15()
expect_overlap = pd.Series(
data=[1,1,1,1,1,1,1,1,1,1],
index=range(10)
)
test_overlap = intervals.get_overlap(peak, region)
print('test', test_overlap)
print('expect', expect_overlap)
assert_series_equal(test_overlap, expect_overlap)
def test_get_overlap_n2():
print("tests condition when (+) newPeak partially overlaps region")
peak = neg_chr1_5_15()
region = neg_chr1_0_10()
expect_overlap = pd.Series(
data=[1,1,1,1,1,0,0,0,0,0],
index=range(10)
)
test_overlap = intervals.get_overlap(peak, region)
print('test', test_overlap)
print('expect', expect_overlap)
assert_series_equal(test_overlap, expect_overlap)
def test_get_overlap_n6():
print("tests condition when (-) newPeak partially overlaps region"
" but shares end coords using the region frac scoring method.")
peak = neg_chr1_5_10()
region = neg_chr1_0_10()
expect_overlap = pd.Series(
data=[.1,.1,.1,.1,.1,0,0,0,0,0],
index=range(10)
)
test_overlap = intervals.get_overlap(peak, region, 'fraction_region')
print('test', test_overlap)
print('expect', expect_overlap)
assert_series_equal(test_overlap, expect_overlap)
def test_get_overlap_p5():
print("tests condition when (+) newPeak is completely "
"contained within the region")
peak = pos_chr1_3_5()
region = pos_chr1_0_10()
expect_overlap = pd.Series(
data=[0,0,0,1,1,0,0,0,0,0],
index=range(10)
)
test_overlap = intervals.get_overlap(peak, region)
print('test', test_overlap)
print('expect', expect_overlap)
assert_series_equal(test_overlap, expect_overlap)
def test_get_overlap_p1():
print("tests condition when (+) newPeak partially overlaps region"
" but shares end coords")
peak = pos_chr1_5_10()
region = pos_chr1_0_10()
expect_overlap = pd.Series(
data=[0,0,0,0,0,1,1,1,1,1],
index=range(10)
)
test_overlap = intervals.get_overlap(peak, region)
print('test', test_overlap)
print('expect', expect_overlap)
assert_series_equal(test_overlap, expect_overlap)
