code stringlengths 3 6.57k |
|---|
dist.cdist([dat[i], ], datR[j], permetric) |
np.histogram2d(dist0, dist1, range=rng, bins=(binspar, binsper) |
len(dat) |
len(datR) |
print (dr/2.0) |
aRDwcalc(dat, datR, binspar, binsper, parmetric, permetric, rng, weights) |
print ("Calculating anisotropic RD with weights...\n DR=") |
np.zeros((len(binspar) |
len(binsper) |
BallTree(dat, metric='pyfunc', func=permetric) |
tqdm(range(len(datR) |
arbt.query_radius(datR[i].reshape(1, -1) |
dist.cdist([datR[i], ], dat[j], parmetric) |
dist.cdist([datR[i], ], dat[j], permetric) |
np.histogram2d(dist0, dist1, range=rng, bins=(binspar, binsper) |
print (dr/2.0) |
aDDwcalcp(dat, binspar, binsper, parmetric, permetric, rng, weights, rNd, multi=False, queue=0) |
np.zeros((len(binspar) |
len(binsper) |
BallTree(dat, metric='pyfunc', func=permetric) |
tqdm(rNd) |
adbt.query_radius(dat[i].reshape(1, -1) |
dist.cdist([dat[i], ], dat[j[j>i]], parmetric) |
dist.cdist([dat[i], ], dat[j[j>i]], permetric) |
np.histogram2d(dist0, dist1, range=rng, bins=(binspar, binsper) |
queue.put(dd) |
print (DD) |
aRRwcalcp(datR, binspar, binsper, parmetric, permetric, rng, rweights, rNr, multi=False, queue=0) |
np.zeros((len(binspar) |
len(binsper) |
BallTree(datR, metric='pyfunc', func=permetric) |
tqdm(rNr) |
arbt.query_radius(datR[i].reshape(1, -1) |
dist.cdist([datR[i], ], datR[j[j>i]], parmetric) |
dist.cdist([datR[i], ], datR[j[j>i]], permetric) |
np.histogram2d(dist0, dist1, range=rng, bins=(binspar, binsper) |
queue.put(rr) |
len(datR) |
print (RR) |
aDRwcalcp(dat, datR, binspar, binsper, parmetric, permetric, rng, rweights, rNd, multi=False, queue=0) |
print ("Calculating anisotropic DR with weights (parallelized) |
np.zeros((len(binspar) |
len(binsper) |
BallTree(datR, metric='pyfunc', func=permetric) |
tqdm(rNd) |
arbt.query_radius(dat[i].reshape(1, -1) |
dist.cdist([dat[i], ], datR[j], parmetric) |
dist.cdist([dat[i], ], datR[j], permetric) |
np.histogram2d(dist0, dist1, range=rng, bins=(binspar, binsper) |
queue.put(dr) |
print (DR) |
aRDwcalcp(dat, datR, binspar, binsper, parmetric, permetric, rng, weights, rNr, multi=False, queue=0) |
print ("Calculating anisotropic RD with weights (parallelized) |
np.zeros((len(binspar) |
len(binsper) |
BallTree(dat, metric='pyfunc', func=permetric) |
tqdm(rNr) |
adbt.query_radius(datR[i].reshape(1, -1) |
dist.cdist([datR[i], ], dat[j], parmetric) |
dist.cdist([datR[i], ], dat[j], permetric) |
np.histogram2d(dist0, dist1, range=rng, bins=(binspar, binsper) |
queue.put(dr) |
amulti_autocp(dat, binspar, binsper, parmetric, permetric, rng, weights, Nd, CORES=pcpus) |
np.zeros((len(binspar) |
len(binsper) |
RetryQueue() |
range(CORES) |
range(int(Nd*i/CORES) |
int(Nd*(i+1) |
range(CORES) |
Process(target=aDDwcalcp, args=(a) |
j.start() |
q.get() |
j.join() |
print (DD) |
amulti_autocpr(datR, binspar, binsper, parmetric, permetric, rng, rweights, Nr, CORES=pcpus) |
np.zeros((len(binspar) |
len(binsper) |
RetryQueue() |
range(CORES) |
range(int(Nr*i/CORES) |
int(Nr*(i+1) |
range(CORES) |
Process(target=aRRwcalcp, args=(a) |
j.start() |
q.get() |
j.join() |
print (RR) |
amulti_crosscp(dat, datR, binspar, binsper, parmetric, permetric, rng, weights, Nr, CORES=pcpus) |
np.zeros((len(binspar) |
len(binsper) |
RetryQueue() |
range(CORES) |
range(int(Nr*i/CORES) |
int(Nr*(i+1) |
range(CORES) |
Process(target=aRDwcalcp, args=(a) |
j.start() |
q.get() |
j.join() |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.