SimGNNwithKnowledgeGraph/test.py at main · anirudlappathi/SimGNNwithKnowledgeGraph · GitHub

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import numpy as np
from utils import *

from uuid import uuid1
import csv

print('test')
# filename = f'adjMatrixCSV/{currDate}-{uniqueFilename}.csv'

# with open(filename, mode='w+', newline='') as file:
#     writer = csv.writer(file)

#     writer.writerow(['a' for i in range(1, 10)])
#     for row in range(5):
#         aas = [i for i in range(1, 10)]
#         writer.writerow(aas)

# i = np.array([[1,2,3,3,4,5,6,6]])
# two = np.array([[0,0,0,1,1,0,0,0,0,3,4,5,2,34]])
# print(two.shape[1])
# print(i.shape[1])
# y = two.shape[1] - i.shape[1]

# new = np.zeros((y, 1))

# i = i.T
# two = two.T

# print(i)
# print(two)
# print(new)

# i = np.vstack((i, new))
# i = np.hstack((i, two))
# print(i)
# print(i.shape)

# asd = np.empty((0,0))

# asd = np.append(asd, [[1]])
# asd = np.append(asd, [[1]])
# asd = np.append(asd, [[1]])
# asd = np.append(asd, [[1]])
# print(asd)