def test_max_size(clean):
"""
testing behavior when reatching maximum size
"""
TransparentPath.caching_max_memory = 0.000070
TransparentPath.caching = "ram"
TransparentPath("tests/data/chat.txt", enable_caching=True,
fs="local").read()
path = TransparentPath("tests/data/groschat.txt",
enable_caching=True,
fs="local")
path.read()
ret = list(TransparentPath.cached_data_dict.keys())
retdata = list(TransparentPath.cached_data_dict.values())
assert len(ret) == 1
assert ret[0] == path.__hash__()
assert retdata[0]["data"] == "grostest"
def test_caching_ram(clean, suffix, kwargs):
if reqs_ok:
import pandas as pd
data = pd.DataFrame(columns=["foo", "bar"],
index=["a", "b"],
data=[[1, 2], [3, 4]])
TransparentPath.caching = "ram"
path = TransparentPath(f"tests/data/chien{suffix}",
enable_caching=True,
fs="local")
path.read(**kwargs)
assert all(
TransparentPath.cached_data_dict[path.__hash__()]["data"] == data)
assert all(
TransparentPath(f"tests/data/chien{suffix}",
enable_caching=True,
fs="local").read() == data)