Export every recorded input, not only the ones that vary

`export runs` dropped a `param.*` column whose value was constant across the
exported runs, so a downstream filter broke depending on which runs the
selection happened to hold. Every input the selection recorded is a column
now; `--params` still narrows it to a sweep's axis. The metrics default is
unchanged.

Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_019Hra4ndWMCLU5F3KjUuVAc
This commit is contained in:
2026-08-29 13:47:00 +02:00
co-authored by Claude Opus 5
parent c050a7a52c
commit 73cd37a608
4 changed files with 21 additions and 35 deletions
+6 -23
View File
@@ -422,25 +422,6 @@ def _dig(record: dict[str, Any], path: str) -> Any:
return value
def _varying(runs: list[Run]) -> list[str]:
"""The inputs that differ across these runs — the axis of a sweep.
What a reader comparing arms wants as columns, compared leaf by leaf: two
configurations differing in one field give that field as a column rather
than two blobs that are not the same. Under two runs nothing can differ,
and a table of one run with none of its inputs in it is not worth reading,
so all of them are kept.
"""
keys = sorted({path for run in runs for path, _ in _leaves(run.params)})
if len(runs) < 2:
return keys
return [
key
for key in keys
if len({json.dumps(_dig(run.params, key), sort_keys=True) for run in runs}) > 1
]
def _scored(runs: list[Run]) -> list[str]:
"""A run's final numbers: every number its declared outputs carry, however
deep it sits. A flag is not a number, and neither is a label."""
@@ -557,9 +538,9 @@ def export_runs(
"""One row per run: what it was given, what it scored, what code it ran.
The arm-comparison table. Inputs are columns rather than one JSON blob —
by default the ones that vary across the selection, which is the sweep
axis; ``params`` names them instead. ``metrics`` narrows the final numbers
to a few of a run's declared outputs.
every input the selection recorded, so the schema is the same whichever
runs are asked for; ``params`` narrows it. ``metrics`` narrows the final
numbers to a few of a run's declared outputs.
Both take dotted paths into a record a node returned:
``metrics=final_metrics.train_loss,test_metrics.known.perfect`` selects
@@ -567,7 +548,9 @@ def export_runs(
depth.
"""
runs = _selected(session, flow, status, group, ids, since, until)
inputs = [part for part in params.split(",") if part] or _varying(runs)
inputs = [part for part in params.split(",") if part] or sorted(
{path for run in runs for path, _ in _leaves(run.params)}
)
scores = [part for part in metrics.split(",") if part] or _scored(runs)
columns = [
*RUN_COLUMNS,
+1 -1
View File
@@ -1394,7 +1394,7 @@ def add_parsers(subparsers: Any) -> None:
metavar="A,B",
help=(
"the inputs to put in columns, dotted into a record "
"(default: the ones that vary)"
"(default: every input the runs recorded)"
),
)
sub.add_argument(
+3 -3
View File
@@ -428,9 +428,9 @@ class Client:
) -> list[dict[str, Any]]:
"""One row per run: its inputs as columns, its final numbers, its code.
The arm-comparison table. The inputs kept are the ones that vary
across the selection unless ``params`` names them, which is the axis a
sweep is read along.
The arm-comparison table. Every input the selection recorded is a
column, so the schema does not depend on which runs were asked for;
``params`` narrows it to the axis a sweep is read along.
"""
query: dict[str, Any] = {}
if params:
+11 -8
View File
@@ -873,10 +873,10 @@ def test_an_export_strides_each_series_and_names_its_run(
assert all(steps == [0, 2] for steps in curves.values())
def test_an_exported_run_row_carries_the_inputs_that_vary(
def test_an_exported_run_row_carries_every_recorded_input(
client, superuser_token_headers, exported
):
"""The sweep axis becomes columns; what every run shares stays out of them."""
"""Every input is a column, so the schema does not move with the selection."""
def export(**extra):
answer = client.get(
@@ -890,12 +890,15 @@ def test_an_exported_run_row_carries_the_inputs_that_vary(
rows = _lines(export(format="jsonl"))
assert [row["id"] for row in rows] == ["exp-1", "exp-0"]
assert {row["param.lr"] for row in rows} == {0.1, 0.01}
# `epochs` is the same on both runs, so it is not what they differ by, and
# neither is the model inside the config — but the depth beside it is.
assert "param.epochs" not in rows[0]
assert "param.config.model" not in rows[0]
# `epochs` is the same on both runs and stays a column anyway: which runs
# were asked for is not something a downstream filter should have to know.
assert rows[0]["param.epochs"] == 10
assert rows[0]["param.config.model"] == "mlp"
assert {row["param.config.depth"] for row in rows} == {1, 2}
assert "param.epochs" in _lines(export(format="jsonl", params="epochs"))[0]
narrowed = _lines(export(format="jsonl", params="epochs"))[0]
assert "param.epochs" in narrowed
assert "param.lr" not in narrowed
# A number inside a record is a column of its own, however deep; a string
# is not one of the run's numbers wherever it sits.
@@ -912,7 +915,7 @@ def test_an_exported_run_row_carries_the_inputs_that_vary(
header = export().text.splitlines()[0]
assert header.startswith("id,flow,status,")
assert header.endswith(
"param.config.depth,param.lr,"
"param.config.depth,param.config.model,param.epochs,param.lr,"
"metric.acc,metric.final_metrics.train_loss,"
"metric.test_metrics.known.perfect"
)