Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

optimize modulo calculation #214

Open
wants to merge 8 commits into
base: master
Choose a base branch
from
Open
Changes from all commits
Commits
File filter

Filter by extension

Filter by extension

Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
22 changes: 16 additions & 6 deletions datasketch/minhash.py
Original file line number Diff line number Diff line change
Expand Up @@ -9,7 +9,8 @@

# http://en.wikipedia.org/wiki/Mersenne_prime
_mersenne_prime = np.uint64((1 << 61) - 1)
_max_hash = np.uint64((1 << 32) - 1)
_mersenne_exponent = np.uint8(61)
_max_hash = np.uint32((1 << 32) - 1)
_hash_range = (1 << 32)

class MinHash(object):
Expand Down Expand Up @@ -92,7 +93,7 @@ def __init__(self, num_perm=128, seed=1,
raise ValueError("Numbers of hash values and permutations mismatch")

def _init_hashvalues(self, num_perm):
return np.ones(num_perm, dtype=np.uint64)*_max_hash
return np.full(num_perm, _max_hash,dtype=np.uint32)

def _init_permutations(self, num_perm):
# Create parameters for a random bijective permutation function
Expand All @@ -104,7 +105,7 @@ def _init_permutations(self, num_perm):
], dtype=np.uint64).T

def _parse_hashvalues(self, hashvalues):
return np.array(hashvalues, dtype=np.uint64)
return np.array(hashvalues, dtype=np.uint32)

def update(self, b):
'''Update this MinHash with a new value.
Expand Down Expand Up @@ -135,7 +136,16 @@ def _hash_32(b):
'''
hv = self.hashfunc(b)
a, b = self.permutations
phv = np.bitwise_and((a * hv + b) % _mersenne_prime, _max_hash)
_dividend = np.uint64(a * hv + b)

phv = np.bitwise_and(
# we can apply mersenne's modulo trick here
np.add(
np.bitwise_and(_dividend, _mersenne_prime),
np.right_shift(_dividend, _mersenne_exponent)
),
_max_hash
).astype(np.uint32)
self.hashvalues = np.minimum(phv, self.hashvalues)

def update_batch(self, b):
Expand All @@ -155,9 +165,9 @@ def update_batch(self, b):
minhash = Minhash()
minhash.update_batch([s.encode('utf-8') for s in ["token1", "token2"]])
'''
hv = np.array([self.hashfunc(_b) for _b in b], dtype=np.uint64)
hv = np.array([self.hashfunc(_b) for _b in b], dtype=np.uint32)
a, b = self.permutations
phv = np.bitwise_and(((hv * np.tile(a, (len(hv), 1)).T).T + b) % _mersenne_prime, _max_hash)
phv = np.bitwise_and(np.mod(((hv * np.tile(a, (len(hv), 1)).T).T + b), _mersenne_prime), _max_hash).astype(np.uint32)
self.hashvalues = np.vstack([phv, self.hashvalues]).min(axis=0)

def jaccard(self, other):
Expand Down