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import numpy as np | |
class HashTable: | |
def __init__(self, hash_size, inp_dimensions): | |
self.hash_size = hash_size | |
self.inp_dimensions = inp_dimensions | |
self.hash_table = dict() | |
self.projections = np.random.randn(self.hash_size, inp_dimensions) | |
def generate_hash(self, inp_vector): | |
bools = (np.dot(inp_vector, self.projections.T) > 0).astype('int') | |
return ''.join(bools.astype('str')) | |
def __setitem__(self, inp_vec, label): | |
hash_value = self.generate_hash(inp_vec) | |
self.hash_table[hash_value] = self.hash_table\ | |
.get(hash_value, list()) + [label] | |
def __getitem__(self, inp_vec): | |
hash_value = self.generate_hash(inp_vec) | |
return self.hash_table.get(hash_value, []) | |
hash_table = HashTable(hash_size=4, inp_dimensions=20) |
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