import numpy as np
import struct
# 加载测试数据
f = open('000001.bin','rb')
# 102500为文档中包含的数字个数，而一个浮点数占4个字节
data_raw = struct.unpack('f'*102500,f.read(4*102500))
f.close()
verify_data =  np.asarray(data_raw).reshape(-1,4)
print(verify_data)
print('ddxigj')
3c6d0f831fdd54bc88fbd2435aa44dee6e1e36f9
<mask token>

<mask token>
f.close()
<mask token>
print(verify_data)
print('ddxigj')

<mask token>
f = open('000001.bin', 'rb')
data_raw = struct.unpack('f' * 102500, f.read(4 * 102500))
f.close()
verify_data = np.asarray(data_raw).reshape(-1, 4)
print(verify_data)
print('ddxigj')

import numpy as np
import struct
f = open('000001.bin', 'rb')
data_raw = struct.unpack('f' * 102500, f.read(4 * 102500))
f.close()
verify_data = np.asarray(data_raw).reshape(-1, 4)
print(verify_data)
print('ddxigj')

import numpy as np
import struct
# 加载测试数据
f = open('000001.bin','rb')
# 102500为文档中包含的数字个数，而一个浮点数占4个字节
data_raw = struct.unpack('f'*102500,f.read(4*102500))
f.close()
verify_data =  np.asarray(data_raw).reshape(-1,4)
print(verify_data)
print('ddxigj')