yusufcalisir's picture
deploy: Hugging Face space upload
c554829
Raw History Blame Contribute Delete
1.49 kB
"""Unit tests for CFI LocalFLClient."""
from cfi_connector_sdk.client.local_fl_client import LocalFLClient
def test_local_fl_client_initialization():
client = LocalFLClient(
bank_id=" BANK_ALPHA ",
coordinator_url="localhost:50051",
)
assert client.bank_id == "bank_alpha"
assert client.is_connected is False
assert client.connect() is True
assert client.is_connected is True
def test_submit_gradient():
client = LocalFLClient(bank_id="bank_beta")
masked_gradient = b"\x01\x02\x03\x04\x05\x06\x07\x08" * 100
round_id = 5
res = client.submit_gradient(
round_id=round_id,
masked_gradient_bytes=masked_gradient,
dp_epsilon_used=0.75,
)
assert res["status"] == "ACCEPTED"
assert res["bank_id"] == "bank_beta"
assert res["round_id"] == 5
assert res["dp_epsilon_used"] == 0.75
assert res["compressed_size_bytes"] < len(masked_gradient)
assert "signature" in res
def test_submit_local_weights_backwards_compatible():
client = LocalFLClient(bank_id="bank_gamma")
weights = {"layer1.weight": [0.1, 0.2, 0.3], "layer1.bias": [0.01]}
res = client.submit_local_weights(
round_id=10,
weights=weights,
dp_epsilon=1.2,
num_samples=1500,
)
assert res["status"] == "ACCEPTED"
assert res["bank_id"] == "bank_gamma"
assert res["round_id"] == 10
assert res["num_samples"] == 1500
assert res["dp_epsilon_used"] == 1.2