def test_put_get_dataset(mock_data, use_cluster):
"""test sending and recieving a dataset with 2D tensors
of every datatype
"""
data = mock_data.create_data((10, 10))
# Create a dataset to put
dataset = Dataset("test-dataset")
for index, tensor in enumerate(data):
key = f"tensor_{str(index)}"
dataset.add_tensor(key, tensor)
client = Client(None, use_cluster)
client.put_dataset(dataset)
rdataset = client.get_dataset("test-dataset")
for index, tensor in enumerate(data):
key = f"tensor_{str(index)}"
rtensor = rdataset.get_tensor(key)
np.testing.assert_array_equal(
rtensor,
tensor,
"Dataset returned from get_dataset not the same as sent dataset",
)
def test_bad_type_put_dataset(use_cluster):
c = Client(None, use_cluster)
array = np.array([1, 2, 3, 4])
with pytest.raises(TypeError):
c.put_dataset(array)
import numpy as np
from smartredis import Client, Dataset
# Create two arrays to store in the DataSet
data_1 = np.random.randint(-10, 10, size=(10, 10))
data_2 = np.random.randint(-10, 10, size=(20, 8, 2))
# Create a DataSet object and add the two sample tensors
dataset = Dataset("test-dataset")
dataset.add_tensor("tensor_1", data_1)
dataset.add_tensor("tensor_2", data_2)
# Connect SmartRedis client to Redis database
db_address = "127.0.0.1:6379"
client = Client(address=db_address, cluster=False)
# Place the DataSet into the database
client.put_dataset(dataset)
# Retrieve the DataSet from the database
rdataset = client.get_dataset("test-dataset")
# Retrieve a tensor from inside of the fetched
# DataSet
rdata_1 = rdataset.get_tensor("tensor_1")