def _colspec_cols(colspec, parse_cache):
try:
return parse_cache[colspec]
except KeyError:
try:
cols = query.parse_colspec(colspec).cols
except query.ParseError as e:
log.warning("error parsing %r: %s", colspec, e)
cols = []
parse_cache[colspec] = cols
return cols
def _init_objective(batch):
negate, colspec = _objective_colspec(batch)
try:
cols = query.parse_colspec(colspec).cols
except query.ParseError as e:
raise batch_util.BatchError("cannot parse objective %r: %s" % (colspec, e))
else:
if len(cols) > 1:
raise batch_util.BatchError(
"invalid objective %r: only one column may " "be specified" % colspec
)
return negate, cols[0]
def _ipy_objective(minimize, maximize):
colspec, negate = _ipy_objective_colspec(minimize, maximize)
try:
cols = qparse.parse_colspec(colspec).cols
except qparse.ParseError as e:
raise ValueError("cannot parse objective %r: %s" % (colspec, e))
else:
if len(cols) > 1:
raise ValueError("invalid objective %r: only one column may "
"be specified" % colspec)
scalar = cols[0]
prefix, tag = scalar.split_key()
return (prefix, tag, scalar.qualifier), negate
def _run_compare_metrics(run):
compare_specs = run_util.latest_compare(run)
if not compare_specs:
return None
metrics = set()
for spec in compare_specs:
try:
select = query.parse_colspec(spec)
except query.ParseError:
pass
else:
metrics.update([col.key for col in select.cols if _is_last_scalar(col)])
return metrics
def _run_scalar_args_for_select(scalar_spec):
from guild import query
try:
cols = query.parse_colspec(scalar_spec).cols
except query.ParseError as e:
cli.error("invalid scalar '%s': %s" % (scalar_spec, e))
else:
assert cols, scalar_spec
if len(cols) > 1:
cli.error("invalid scalar '%s': multiple scalars not supported" %
scalar_spec)
col = cols[0]
# 'header', 'key', 'named_as', 'qualifier', 'split_key', 'step'
if col.named_as:
log.warning("ignoring 'as %s' in scalar", col.named_as)
prefix, tag = col.split_key()
return prefix, tag, col.qualifier, col.step
def _objective_y_info(batch_run):
objective = batch_run.get("objective") or DEFAULT_OBJECTIVE
if objective[0] == "-":
objective = objective[1:]
y_negate = -1
else:
y_negate = 1
try:
colspec = qparse.parse_colspec(objective)
except qparse.ParseError as e:
raise InvalidObjective("invalid objective %r: %s" % (objective, e))
else:
if len(colspec.cols) > 1:
raise InvalidObjective("invalid objective %r: too many columns" %
objective)
col = colspec.cols[0]
prefix, key = col.split_key()
y_scalar_col = (prefix, key, col.qualifier)
return y_scalar_col, y_negate
