def test_compress_result():
""" check full dblock length result vectors are compressed
to lists of tuples marking start,stop sample of
failed test intervals [ (x0,x1) ... (x0,x1)
"""
import itertools
pg = pygarv.PyGarv(mkh5_f=no_pg_h5)
# degenerate dblock len == 0, not typical
result = np.zeros(shape=(0, ), dtype=bool)
fails = pg._compress_result(result)
assert fails == []
# smoke test all combinations of T,F up to len 8
# eyeball check of singletons, runs in any
# position appears ok
for n in range(9):
results = list(itertools.product([0, 1], repeat=n))
for r in results:
result = np.array(r)
fails = pg._compress_result(result)
# print(result)
# print(fails)
# print()
cleanup_h5()
def test_decode_pygarv_stream():
reset_h5()
pg = pygarv.PyGarv(pg_h5)
for i, dbp in enumerate(pg.dblock_paths):
_, dblock = pg.mkh5.get_dblock(dbp)
tr_doc = pg.tr_docs[i]
pygarv_stream = dblock["pygarv"]
result, fails = pg._decode_pygarv_stream(pygarv_stream, tr_doc)
if any(result > 0):
pass
# print(tr_doc)
cleanup_h5()
def test_update_mkh5():
# start w/ fresh h5 data
reset_h5()
# work on tmp in case there is trouble ...
tmp_f = f"{pg_h5}_tmp"
r = subprocess.run(["cp", no_pg_h5, tmp_f])
# init
pg = pygarv.PyGarv(mkh5_f=tmp_f)
pg._update_tr_docs_from_yaml_f(yarf_f) # load yarf tests
pg._update_mkh5() # actually mod the h5 file
# rename the garv marked file
r = subprocess.run(["mv", tmp_f, pg_h5])
# PyGarv instance w/ loadable, runnable, save-able tests
return pg
def test_update_tr_docs():
"""build pygarv.tr_docs from an h5 file with tests given as .yarf YAML"""
# start fresh
reset_h5()
pg = pygarv.PyGarv(mkh5_f=no_pg_h5)
pg.yarf_io = pygarv.PyYarf()
yarf_docs = pg.yarf_io.read_from_yaml(TEST_DIR("data/calstest.yarf"))
# dry run individual tests all tests individually
for dbp_idx, dbp in enumerate(pg.mkh5.data_blocks):
yarf_doc = yarf_docs[dbp_idx]
for test_idx, test in enumerate(yarf_doc["tests"]):
# default test_idx=None is to append the tests and results
exception = pg._update_tr_docs(dbp_idx, test_idx, test)
if exception is not None:
raise exception
cleanup_h5()
def test_init_pg():
""" basic calling pattern on un-pygarved h5 """
reset_h5()
pg = pygarv.PyGarv(mkh5_f=pg_h5)
return pg