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| """Stage-2 tools. Each call goes through dispatch. Inputs are files or tests in the repo. | |
| No queen, miner, swarm_motion, in-house adapter, or network client is imported | |
| here. A number in the result is the function's result on the named input. | |
| """ | |
| from __future__ import annotations | |
| from typing import Any | |
| from aureon_public.alignment_layer import label_result | |
| from aureon_public.body import _unavailable, dispatch | |
| from aureon_public.quiet import quiet | |
| from aureon_public.stage2_arguments import ( | |
| DE440_SOURCE, | |
| PHENOLIC_ANALYSIS, | |
| REPORTS, | |
| TICK_HISTORY, | |
| de440_lambda_prefix, | |
| load_report, | |
| ) | |
| _MODE = "aureon/observer/production_mode.py" | |
| # The public worker sets AUREON_OBSERVER_MODE=dry_run. The code default is a | |
| # cited source line and is not the value these tools return. | |
| _MODE_SOURCE = "aureon/observer/production_mode.py" | |
| _MODE_CITED = ( | |
| "The worker sets AUREON_OBSERVER_MODE=dry_run. " | |
| "Cited source, aureon/observer/production_mode.py: `DEFAULT_MODE = ObserverMode.LIVE`. " | |
| "That line is not this result." | |
| ) | |
| def _call(module: str, symbol: str, arguments: dict[str, Any]) -> str: | |
| return dispatch(module, symbol, arguments, server="public", timeout=30.0) | |
| def stage2_summarize_patterns() -> str: | |
| """Distil the phenolic bridge test's analysis dict. | |
| The dict is tests/test_phenolic_bridge.py. It is not a laboratory result | |
| from this server. The result names separable compounds and provenance counts | |
| in that dict. | |
| Args: | |
| none: The fixture is fixed. Label: cited. | |
| """ | |
| return label_result( | |
| _call( | |
| "cognition/phenolic_bridge.py", | |
| "summarize_patterns", | |
| {"analysis": PHENOLIC_ANALYSIS}, | |
| ), | |
| "tests/test_phenolic_bridge.py", | |
| "Fixture dict from that test. Not a laboratory result.", | |
| ) | |
| def stage2_sumerian_decoder() -> str: | |
| """Build the Book of Ur decoder from the me catalog in that file. | |
| The catalog is the module's own table. This is not a live geographic reading. | |
| Args: | |
| none: The catalog is in the module. Label: cited. | |
| """ | |
| return label_result( | |
| _call("decoders/book_of_ur.py", "get_sumerian_decoder", {}), | |
| "aureon/decoders/book_of_ur.py", | |
| "The decoder is built from the me catalog in that file.", | |
| ) | |
| def stage2_sumerian_vector() -> str: | |
| """Return the bearing the Sumerian decoder computes from the Ur coordinates in that file. | |
| Args: | |
| none: The coordinates are in the module. Label: cited. | |
| """ | |
| return label_result( | |
| _call("decoders/book_of_ur.py", "get_sumerian_geographic_vector", {}), | |
| "aureon/decoders/book_of_ur.py", | |
| "The vector is computed from the coordinates in that file.", | |
| ) | |
| def stage2_iching_decoder() -> str: | |
| """Build the I Ching decoder from the hexagram table in that file. | |
| Args: | |
| none: The table is in the module. Label: cited. | |
| """ | |
| return label_result( | |
| _call("decoders/iching_decoder.py", "get_iching_decoder", {}), | |
| "aureon/decoders/iching_decoder.py", | |
| "The decoder is built from the hexagram table in that file.", | |
| ) | |
| def stage2_iching_vector() -> str: | |
| """Return the geographic vector the I Ching decoder computes from its own table. | |
| Args: | |
| none: The table is in the module. Label: cited. | |
| """ | |
| return label_result( | |
| _call("decoders/iching_decoder.py", "get_iching_geographic_vector", {}), | |
| "aureon/decoders/iching_decoder.py", | |
| "The vector is computed from the table in that file.", | |
| ) | |
| def _render(name: str, module: str, symbol: str) -> str: | |
| relative = REPORTS[name] | |
| try: | |
| report = load_report(relative) | |
| except (OSError, TypeError, ValueError) as exc: | |
| return _unavailable(f"{relative} could not be read: {exc}") | |
| return label_result( | |
| _call(module, symbol, {"report": report}), | |
| relative, | |
| "The committed measured report. This formats that file. It does not rerun the proof.", | |
| ) | |
| def stage2_render_auris() -> str: | |
| """Format the committed Auris report as markdown. | |
| The numbers are reports/measured/auris_nodes.json. This does not re-evaluate the nodes. | |
| Args: | |
| none: The file is fixed. Label: cited. | |
| """ | |
| return _render("auris", "evaluation/auris_node_eval.py", "render_auris_markdown") | |
| def stage2_render_brain() -> str: | |
| """Format the committed brain report as markdown. | |
| The numbers are reports/measured/brain.json. This does not rerun the brain proof. | |
| Args: | |
| none: The file is fixed. Label: cited. | |
| """ | |
| return _render("brain", "evaluation/brain_proof.py", "render_brain_markdown") | |
| def stage2_render_self_coder() -> str: | |
| """Format the committed self-coder report as markdown. | |
| The numbers are reports/measured/self_coder.json. This does not run the harness. | |
| Args: | |
| none: The file is fixed. Label: cited. | |
| """ | |
| return _render("self_coder", "evaluation/measured_proof.py", "render_self_coder_markdown") | |
| def stage2_render_organism() -> str: | |
| """Format the committed organism report as markdown. | |
| The numbers are reports/measured/organism.json. This does not rerun circulation. | |
| Args: | |
| none: The file is fixed. Label: cited. | |
| """ | |
| return _render("organism", "evaluation/organism_proof.py", "render_organism_markdown") | |
| def stage2_render_qgita() -> str: | |
| """Format the committed QGITA report as markdown. | |
| The numbers are reports/measured/qgita_snr.json. This does not rerun the benchmark. | |
| Args: | |
| none: The file is fixed. Label: cited. | |
| """ | |
| return _render("qgita", "evaluation/qgita_snr_benchmark.py", "render_qgita_markdown") | |
| def stage2_predict_next() -> str: | |
| """Apply the pre-registered next-step rule to ticks 0 through 6. | |
| reports/measured/organism.json records tick baseline 6 and held-out tick 7. | |
| organism_proof.TICKS is 8. The result is that rule on this series, not a new organism run. | |
| Args: | |
| none: The series is fixed. Label: cited. | |
| """ | |
| return label_result( | |
| _call("evaluation/organism_proof.py", "predict_next", {"values": TICK_HISTORY}), | |
| "reports/measured/organism.json", | |
| "Ticks 0 through 6. The committed report's tick baseline is 6 and the held-out tick is 7.", | |
| ) | |
| def stage2_build_report() -> str: | |
| """Assemble a gate report from an empty check list. | |
| aureon/gates/benchmark.py says an empty list must not pass. The panel is not convened. | |
| The status is the assembler's empty-list result, not a gate measurement. | |
| Args: | |
| none: The check list is empty. Label: cited. | |
| """ | |
| return label_result( | |
| _call("gates/benchmark.py", "build_report", {"checks": []}), | |
| "aureon/gates/benchmark.py", | |
| "Empty check list. The panel is not convened. An empty list must not pass.", | |
| ) | |
| def stage2_ungrounded_nodes() -> str: | |
| """Name the panel nodes whose slice is absent from an empty grounded set. | |
| The empty set is tests/gates/test_switchboard.py. Tiger and Panda stay in the | |
| result because nothing in the organism measures those slices. This is not a live vote. | |
| Args: | |
| none: The grounded set is empty. Label: cited. | |
| """ | |
| return label_result( | |
| _call("gates/panel.py", "ungrounded_nodes", {"grounded_slices": []}), | |
| "tests/gates/test_switchboard.py", | |
| "Empty grounded set from that test. Nothing was measured.", | |
| ) | |
| def stage2_is_human_held(action: str = "draft") -> str: | |
| """Say whether an action is on the human-held list. | |
| The default draft is an ordinary action in tests/gates/test_switchboard.py | |
| and is not held. submit is held. This does not execute the action. | |
| Args: | |
| action: The action string passed to is_human_held. Label: cited, the switchboard test. | |
| """ | |
| if not isinstance(action, str): | |
| return _unavailable("action is missing") | |
| text = _call("gates/switchboard.py", "is_human_held", {"action": action}) | |
| if action == "draft": | |
| return label_result( | |
| text, | |
| "tests/gates/test_switchboard.py", | |
| "draft is an ordinary action in that test. It is not human-held.", | |
| ) | |
| if action == "submit": | |
| return label_result( | |
| text, | |
| "tests/gates/test_switchboard.py", | |
| "submit is a human-held verb in that test.", | |
| ) | |
| return text | |
| def _fit(symbol: str) -> str: | |
| try: | |
| values = de440_lambda_prefix() | |
| except (OSError, KeyError, TypeError, ValueError) as exc: | |
| return _unavailable(f"{DE440_SOURCE} could not be read: {exc}") | |
| return label_result( | |
| _call("observer/fitter.py", symbol, {"lambda_values": values}), | |
| DE440_SOURCE, | |
| "The first 80 Lambda values of that file. A curve fit of that prefix, not a live trace and not a white-paper coefficient.", | |
| ) | |
| def stage2_fit_tanh() -> str: | |
| """Fit alpha and g to the first 80 Lambda values in data/de440_timeseries.csv. | |
| This is a curve fit of that prefix. It is not a live trace and it is not the white-paper coefficients. | |
| Args: | |
| none: The prefix is fixed. Label: cited. | |
| """ | |
| return _fit("fit_tanh") | |
| def stage2_fit_full() -> str: | |
| """Fit alpha, g, beta, and tau to the first 80 Lambda values in data/de440_timeseries.csv. | |
| This is a curve fit of that prefix. It is not a live trace and it is not the white-paper coefficients. | |
| Args: | |
| none: The prefix is fixed. Label: cited. | |
| """ | |
| return _fit("fit_full") | |
| def stage2_simulation_fallback() -> str: | |
| """Read whether simulation fallback is allowed in this worker. | |
| The worker does not set AUREON_ALLOW_SIM_FALLBACK. The function's production posture is false. | |
| This does not fetch a feed. | |
| Args: | |
| none: The worker environment is the public worker environment. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/live_data_policy.py", "simulation_fallback_allowed", {}), | |
| "aureon/observer/live_data_policy.py", | |
| "The worker does not set AUREON_ALLOW_SIM_FALLBACK. False is that function's production posture.", | |
| ) | |
| def stage2_fallback_marker() -> str: | |
| """Build the fallback audit dict from the benchmark test. | |
| source is b70_probe and when is 123.0, both from tests/benchmarks/benchmark_aureon_scope.py. | |
| The dict says the reading is a test fixture. | |
| Args: | |
| none: The arguments are the benchmark's. Label: cited. | |
| """ | |
| return label_result( | |
| _call( | |
| "observer/live_data_policy.py", | |
| "fallback_marker", | |
| {"source": "b70_probe", "when": 123.0}, | |
| ), | |
| "tests/benchmarks/benchmark_aureon_scope.py", | |
| "when is 123.0 in that test. The dict is a test-fixture marker, not a live reading.", | |
| ) | |
| def stage2_momentum_tracker() -> str: | |
| """Return the momentum tracker installed in this worker. | |
| A fresh worker has none, so the result is null. That null is not a momentum reading. | |
| Args: | |
| none: No tracker is installed. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/momentum.py", "get_momentum_tracker", {}), | |
| "aureon/observer/momentum.py", | |
| "A fresh worker has no tracker. Null is that fact, not a momentum reading.", | |
| ) | |
| def stage2_momentum_predict() -> str: | |
| """Ask the momentum predictor with no tracker installed. | |
| The default symbol is BTCUSD, the function's own default. The result is the function's | |
| neutral no-data signal. It does not read a price. | |
| Args: | |
| none: The symbol default is the function's. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/momentum.py", "momentum_predict_fn", {}), | |
| "aureon/observer/momentum.py", | |
| "No tracker is installed. The neutral signal is the function's no-data result, not a price.", | |
| ) | |
| def _mode_call(symbol: str) -> str: | |
| """Call one production-mode entry point and keep its return value.""" | |
| return label_result( | |
| _call("observer/production_mode.py", symbol, {}), | |
| _MODE_SOURCE, | |
| _MODE_CITED, | |
| ) | |
| def stage2_observer_mode() -> str: | |
| """Return get_mode under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. It is not a broker session and it does not place an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("get_mode") | |
| def stage2_reload_mode() -> str: | |
| """Return reload_mode under AUREON_OBSERVER_MODE=dry_run. | |
| This does not write a file and does not start a process. The result is that function's return. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("reload_mode") | |
| def stage2_is_live() -> str: | |
| """Return is_live under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not place an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("is_live") | |
| def stage2_is_shadow() -> str: | |
| """Return is_shadow under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. It does not describe a broker session. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("is_shadow") | |
| def stage2_gate_buy_veto() -> str: | |
| """Return gate_buy_veto_active under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not place an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("gate_buy_veto_active") | |
| def stage2_gate_sell_veto() -> str: | |
| """Return gate_sell_veto_active under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not place an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("gate_sell_veto_active") | |
| def stage2_narrow_band() -> str: | |
| """Return narrow_band_threshold_active under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not change an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("narrow_band_threshold_active") | |
| def stage2_kelly_buffer() -> str: | |
| """Return kelly_buffer_scaling_active under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not size an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("kelly_buffer_scaling_active") | |
| def stage2_vote_addition() -> str: | |
| """Return vote_addition_active under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not cast a vote. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("vote_addition_active") | |
| def stage2_phase_veto() -> str: | |
| """Return phase_veto_active under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not block an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("phase_veto_active") | |
| def stage2_volatility_veto() -> str: | |
| """Return volatility_veto_active under AUREON_OBSERVER_MODE=dry_run. | |
| The result is that function's return. This call does not block an order. | |
| Args: | |
| none: The worker sets AUREON_OBSERVER_MODE=dry_run. Label: cited. | |
| """ | |
| return _mode_call("volatility_veto_active") | |
| def stage2_repo_root() -> str: | |
| """Resolve the checkout that contains aureon/ and data/. | |
| The public result may keep only the path type. The path is the checkout this process loaded. | |
| Args: | |
| none: The start path is the worker's current directory. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/real_data_contract.py", "repo_root_from", {}), | |
| "aureon/observer/real_data_contract.py", | |
| "The function walks parents for an aureon/ and data/ directory.", | |
| ) | |
| def stage2_source_registry() -> str: | |
| """Read data/real_data_sources.json. | |
| The object is that file. This does not contact the sources. | |
| Args: | |
| none: The path is the function's own default. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/real_data_contract.py", "load_source_registry", {}), | |
| "data/real_data_sources.json", | |
| "The committed registry. No source was contacted.", | |
| ) | |
| def stage2_source_ids() -> str: | |
| """List the source ids in data/real_data_sources.json. | |
| A set does not survive the public result cap as a list. The ids are the keys | |
| load_source_registry returns from that file. | |
| Args: | |
| none: The path is the function's own default. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/real_data_contract.py", "registered_source_ids", {}), | |
| "data/real_data_sources.json", | |
| "The ids are the keys of that file. A set may be returned as its type name.", | |
| ) | |
| def stage2_test_fixture_metric() -> str: | |
| """Build the test-fixture metric named in tests/test_real_data_contract.py. | |
| The name is fixture.metric and the value is 1. The envelope's truth status is | |
| test_fixture. It is not a live metric. | |
| Args: | |
| none: The name and value are the test's. Label: cited. | |
| """ | |
| return label_result( | |
| _call( | |
| "observer/real_data_contract.py", | |
| "make_test_fixture_metric", | |
| {"name": "fixture.metric", "value": 1}, | |
| ), | |
| "tests/test_real_data_contract.py", | |
| "The name and value in that test. truth_status is test_fixture. Not a live metric.", | |
| ) | |
| def stage2_truth_counts() -> str: | |
| """Count truth statuses in a one-item list whose status is test_fixture. | |
| test_fixture is the status make_test_fixture_metric writes. The count is of | |
| that one status, not a census of operational sources. | |
| Args: | |
| none: The list is that one status. Label: cited. | |
| """ | |
| return label_result( | |
| _call( | |
| "observer/real_data_contract.py", | |
| "summarize_truth_status", | |
| {"metrics": [{"truth_status": "test_fixture"}]}, | |
| ), | |
| "aureon/observer/real_data_contract.py", | |
| "One test_fixture status, the status make_test_fixture_metric writes. Not a census.", | |
| ) | |
| def stage2_wave_predictor() -> str: | |
| """Return the wave predictor installed in this worker. | |
| A fresh worker has none, so the result is null. That null is not a forecast. | |
| Args: | |
| none: No predictor is installed. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/wave_predictor.py", "get_wave_predictor", {}), | |
| "aureon/observer/wave_predictor.py", | |
| "A fresh worker has no predictor. Null is that fact, not a forecast.", | |
| ) | |
| def stage2_wave_predict() -> str: | |
| """Ask the wave predictor with none installed. | |
| The default symbol is BTCUSD, the function's own default. The result is the | |
| function's neutral not-running signal. It does not forecast a price. | |
| Args: | |
| none: The symbol default is the function's. Label: cited. | |
| """ | |
| return label_result( | |
| _call("observer/wave_predictor.py", "wave_predictor_predict", {}), | |
| "aureon/observer/wave_predictor.py", | |
| "No predictor is installed. The neutral signal is the function's not-running result, not a price.", | |
| ) | |
| def stage2_summarize_compounding() -> str: | |
| """Summarize an empty closed-trade receipt list. | |
| aureon/s51/aureon_51_compound.py calls this with an empty list when run as a script. | |
| The result is no_data. No trade is added. | |
| Args: | |
| none: The receipt list is empty. Label: cited. | |
| """ | |
| return label_result( | |
| _call("s51/aureon_51_compound.py", "summarize_compounding", {"receipts": []}), | |
| "aureon/s51/aureon_51_compound.py", | |
| "Empty receipt list. The module reports no_data. No trade is added.", | |
| ) | |
| # Entry points these tools call. coverage_plan counts a tested point only when it is still reachable. | |
| TESTED: tuple[tuple[str, str], ...] = ( | |
| ("cognition/phenolic_bridge.py", "summarize_patterns"), | |
| ("decoders/book_of_ur.py", "get_sumerian_decoder"), | |
| ("decoders/book_of_ur.py", "get_sumerian_geographic_vector"), | |
| ("decoders/iching_decoder.py", "get_iching_decoder"), | |
| ("decoders/iching_decoder.py", "get_iching_geographic_vector"), | |
| ("evaluation/auris_node_eval.py", "render_auris_markdown"), | |
| ("evaluation/brain_proof.py", "render_brain_markdown"), | |
| ("evaluation/measured_proof.py", "render_self_coder_markdown"), | |
| ("evaluation/organism_proof.py", "predict_next"), | |
| ("evaluation/organism_proof.py", "render_organism_markdown"), | |
| ("evaluation/qgita_snr_benchmark.py", "render_qgita_markdown"), | |
| ("gates/benchmark.py", "build_report"), | |
| ("gates/panel.py", "ungrounded_nodes"), | |
| ("gates/switchboard.py", "is_human_held"), | |
| ("observer/fitter.py", "fit_tanh"), | |
| ("observer/fitter.py", "fit_full"), | |
| ("observer/live_data_policy.py", "simulation_fallback_allowed"), | |
| ("observer/live_data_policy.py", "fallback_marker"), | |
| ("observer/momentum.py", "get_momentum_tracker"), | |
| ("observer/momentum.py", "momentum_predict_fn"), | |
| ("observer/production_mode.py", "get_mode"), | |
| ("observer/production_mode.py", "reload_mode"), | |
| ("observer/production_mode.py", "is_live"), | |
| ("observer/production_mode.py", "is_shadow"), | |
| ("observer/production_mode.py", "gate_buy_veto_active"), | |
| ("observer/production_mode.py", "gate_sell_veto_active"), | |
| ("observer/production_mode.py", "narrow_band_threshold_active"), | |
| ("observer/production_mode.py", "kelly_buffer_scaling_active"), | |
| ("observer/production_mode.py", "vote_addition_active"), | |
| ("observer/production_mode.py", "phase_veto_active"), | |
| ("observer/production_mode.py", "volatility_veto_active"), | |
| ("observer/real_data_contract.py", "repo_root_from"), | |
| ("observer/real_data_contract.py", "load_source_registry"), | |
| ("observer/real_data_contract.py", "registered_source_ids"), | |
| ("observer/real_data_contract.py", "make_test_fixture_metric"), | |
| ("observer/real_data_contract.py", "summarize_truth_status"), | |
| ("observer/wave_predictor.py", "get_wave_predictor"), | |
| ("observer/wave_predictor.py", "wave_predictor_predict"), | |
| ("s51/aureon_51_compound.py", "summarize_compounding"), | |
| ) | |
| TOOLS: list[Any] = [ | |
| stage2_summarize_patterns, | |
| stage2_sumerian_decoder, | |
| stage2_sumerian_vector, | |
| stage2_iching_decoder, | |
| stage2_iching_vector, | |
| stage2_render_auris, | |
| stage2_render_brain, | |
| stage2_render_self_coder, | |
| stage2_render_organism, | |
| stage2_render_qgita, | |
| stage2_predict_next, | |
| stage2_build_report, | |
| stage2_ungrounded_nodes, | |
| stage2_is_human_held, | |
| stage2_fit_tanh, | |
| stage2_fit_full, | |
| stage2_simulation_fallback, | |
| stage2_fallback_marker, | |
| stage2_momentum_tracker, | |
| stage2_momentum_predict, | |
| stage2_observer_mode, | |
| stage2_reload_mode, | |
| stage2_is_live, | |
| stage2_is_shadow, | |
| stage2_gate_buy_veto, | |
| stage2_gate_sell_veto, | |
| stage2_narrow_band, | |
| stage2_kelly_buffer, | |
| stage2_vote_addition, | |
| stage2_phase_veto, | |
| stage2_volatility_veto, | |
| stage2_repo_root, | |
| stage2_source_registry, | |
| stage2_source_ids, | |
| stage2_test_fixture_metric, | |
| stage2_truth_counts, | |
| stage2_wave_predictor, | |
| stage2_wave_predict, | |
| stage2_summarize_compounding, | |
| ] | |