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@ -12,36 +12,41 @@ class TestScheduler(unittest.TestCase):
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nq = 2
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nt = 5000
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xt, xb, xq = get_dataset(d, nb, nt, nq)
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ids_xb = np.arange(xb.shape[0])
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ids_xt = np.arange(xt.shape[0])
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file_name = "/tmp/tempfile_1"
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index = faiss.IndexFlatL2(d)
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print(index.is_trained)
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index.add(xb)
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faiss.write_index(index, file_name)
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index2 = faiss.IndexIDMap(index)
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index2.add_with_ids(xb, ids_xb)
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Dref, Iref = index.search(xq, 5)
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index2 = faiss.read_index(file_name)
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faiss.write_index(index, file_name)
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scheduler_instance = Scheduler()
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# query args 1
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# query 1
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query_index = dict()
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query_index['index'] = [file_name]
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vectors = scheduler_instance.Search(query_index, vectors=xq, k=5)
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vectors = scheduler_instance.search(query_index, vectors=xq, k=5)
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assert np.all(vectors == Iref)
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# query args 2
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query_index = dict()
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query_index['raw'] = xt
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# Xiaojun TODO: 'raw_id' part
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# query_index['raw_id'] =
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# query 2
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query_index.clear()
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query_index['raw'] = xb
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query_index['raw_id'] = ids_xb
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query_index['dimension'] = d
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query_index['index'] = [file_name]
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vectors = scheduler_instance.search(query_index, vectors=xq, k=5)
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assert np.all(vectors == Iref)
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# Xiaojun TODO: once 'raw_id' part added, open below
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# vectors = scheduler_instance.Search(query_index, vectors=xq, k=5)
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# print("success")
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# query 3
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# TODO(linxj): continue...
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# query_index.clear()
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# query_index['raw'] = xt
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# query_index['raw_id'] = ids_xt
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# query_index['dimension'] = d
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# query_index['index'] = [file_name]
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# vectors = scheduler_instance.search(query_index, vectors=xq, k=5)
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# assert np.all(vectors == Iref)
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def get_dataset(d, nb, nt, nq):
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@ -20,7 +20,7 @@ class Index():
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@staticmethod
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def increase(trained_index, vectors):
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trained_index.add((vectors))
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trained_index.add_with_ids(vectors. vector_ids)
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@staticmethod
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def serialize(index):
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@ -31,19 +31,20 @@ class TestBuildIndex(unittest.TestCase):
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assert np.all(Dnew == Dref) and np.all(Inew == Iref)
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def test_increase(self):
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d = 64
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nb = 10000
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nq = 100
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nt = 500
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xt, xb, xq = get_dataset(d, nb, nt, nq)
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index = faiss.IndexFlatL2(d)
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index.add(xb)
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assert index.ntotal == nb
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Index.increase(index, xt)
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assert index.ntotal == nb + nt
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# d = 64
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# nb = 10000
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# nq = 100
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# nt = 500
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# xt, xb, xq = get_dataset(d, nb, nt, nq)
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#
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# index = faiss.IndexFlatL2(d)
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# index.add(xb)
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#
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# assert index.ntotal == nb
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#
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# Index.increase(index, xt)
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# assert index.ntotal == nb + nt
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pass
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def test_serialize(self):
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d = 64
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