本文整理匯總了Python中sourmash._minhash.MinHash.downsample_n方法的典型用法代碼示例。如果您正苦於以下問題：Python MinHash.downsample_n方法的具體用法？Python MinHash.downsample_n怎麽用？Python MinHash.downsample_n使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類sourmash._minhash.MinHash的用法示例。
在下文中一共展示了MinHash.downsample_n方法的3個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: test_mh_asymmetric_merge
# 需要導入模塊: from sourmash._minhash import MinHash [as 別名]
# 或者: from sourmash._minhash.MinHash import downsample_n [as 別名]
def test_mh_asymmetric_merge(track_abundance):
# test merging two asymmetric (different size) MHs
a = MinHash(20, 10, track_abundance=track_abundance)
for i in range(0, 40, 2):
a.add_hash(i)
# different size: 10
b = MinHash(10, 10, track_abundance=track_abundance)
for i in range(0, 80, 4):
b.add_hash(i)
c = a.merge(b)
d = b.merge(a)
assert len(a) == 20
assert len(b) == 10
assert len(c) == len(a)
assert len(d) == len(b)
# can't compare different sizes without downsampling
with pytest.raises(TypeError):
d.compare(a)
a = a.downsample_n(d.num)
print(a.get_mins())
print(d.get_mins())
assert d.compare(a) == 1.0
c = c.downsample_n(b.num)
assert c.compare(b) == 1.0示例2: test_mh_inplace_concat_asymmetric
# 需要導入模塊: from sourmash._minhash import MinHash [as 別名]
# 或者: from sourmash._minhash.MinHash import downsample_n [as 別名]
def test_mh_inplace_concat_asymmetric(track_abundance):
# test merging two asymmetric (different size) MHs
a = MinHash(20, 10, track_abundance=track_abundance)
for i in range(0, 40, 2):
a.add_hash(i)
# different size: 10
b = MinHash(10, 10, track_abundance=track_abundance)
for i in range(0, 80, 4):
b.add_hash(i)
c = a.__copy__()
c += b
d = b.__copy__()
d += a
assert len(a) == 20
assert len(b) == 10
assert len(c) == len(a)
assert len(d) == len(b)
try:
d.compare(a)
except TypeError as exc:
assert 'must have same num' in str(exc)
a = a.downsample_n(d.num)
assert d.compare(a) == 1.0 # see: d += a, above.
c = c.downsample_n(b.num)
assert c.compare(b) == 0.5示例3: test_mh_asymmetric
# 需要導入模塊: from sourmash._minhash import MinHash [as 別名]
# 或者: from sourmash._minhash.MinHash import downsample_n [as 別名]
def test_mh_asymmetric(track_abundance):
a = MinHash(20, 10, track_abundance=track_abundance)
for i in range(0, 40, 2):
a.add_hash(i)
# different size: 10
b = MinHash(10, 10, track_abundance=track_abundance)
for i in range(0, 80, 4):
b.add_hash(i)
assert a.count_common(b) == 10
assert b.count_common(a) == 10
with pytest.raises(TypeError):
a.compare(b)
a = a.downsample_n(10)
assert a.compare(b) == 0.5
assert b.compare(a) == 0.5