| self = <test_cohort_projection.TestCohortProjectionDataclass testMethod=test_has_band_false_when_below_floor>
|
|
|
| def test_has_band_false_when_below_floor(self):
|
| > p = self._mk(familiarity=0.1, below_floor=True, band_ets=["12:00"])
|
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
|
|
| tests/services/test_cohort_projection.py:152:
|
| _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
|
|
|
| self = <test_cohort_projection.TestCohortProjectionDataclass testMethod=test_has_band_false_when_below_floor>
|
| kw = {'band_ets': ['12:00'], 'below_floor': True, 'familiarity': 0.1}
|
| defaults = {'actual_close_vs_band': 0.0, 'band_ets': ['12:00'], 'band_max': [0.5], 'band_median': [0.0], ...}
|
|
|
| def _mk(self, **kw: object) -> CohortProjection:
|
| defaults: dict = dict(
|
| run_id="r1", trading_day="2026-07-31", now_et="12:00", minutes_from_open=150,
|
| cohort_kind="calendar", cohort_family="pce", cohort_n_days=10, members=[],
|
| today_partial=[0.0], today_partial_ets=["12:00"],
|
| today_continuation=[0.0], today_continuation_ets=["12:00"],
|
| band_min=[-0.5], band_max=[0.5], band_median=[0.0],
|
| weighted_median=[0.0], band_ets=["12:00"],
|
| familiarity=0.6, below_floor=False, contained=True,
|
| actual_close_vs_band=0.0, detail={},
|
| )
|
| defaults.update(kw)
|
| > return CohortProjection(**defaults)
|
| ^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
| E TypeError: CohortProjection.__init__() missing 4 required positional arguments: 'band_lo', 'band_hi', 'band_quantile', and 'contained_pct'
|
|
|
| tests/services/test_cohort_projection.py:145: TypeError
|