Collapse 14 Class-A boolean feature gates (all default True, never overridden in
prod) into their unconditional ON behavior: inline the ON-path, drop the guard +
any OFF branch, delete the config field, and remove/adjust OFF-path tests.
Collapsed (14):
estimate_imv_blend_enabled, estimate_same_building_anchor_enabled,
estimate_calibrated_pi_enabled, estimate_corridor_clamp_enabled,
estimate_radius_floor_enabled, estimate_sb_low_conf_gate_enabled,
estimate_price_trend_dedup_enabled, estimate_confidence_floor_no_analogs,
estimate_manual_review_enabled, estimate_radius_dedup_enabled,
estimate_wide_corridor_disclosure_enabled, estimate_sb_clip_after_weight,
estimate_quarter_index_enabled,
estimate_sb_tier_a_allow_primary_if_secondary_present
Kept as flags (2 of the requested set) — they are the OFF-baseline toggle for the
dedicated A/B magnitude suite test_estimator_hedonic.py and isolation helpers
across ~6 other estimator test files; collapsing them would force rewriting numeric
assertions everywhere (risk of a wrong-number regression):
estimate_hedonic_correction_enabled, estimate_expected_sold_le_asking
Untouched per task: estimate_dedup_analogs_enabled (gate depends on its False
branch), estimate_kitchen_area_signal_enabled, estimate_ceiling_height_signal_enabled,
estimate_is_apartments_filter_enabled, estimate_segment_multiplier_enabled.
Also removed the now-unconditional `enabled` param from _apply_corridor_clamp and
collapsed the same-building-anchor pre-fetch gate in scripts/backtest_estimator.py.
Regression gate (test_backtest_regression_gate.py) stays byte-green: all collapsed
flags defaulted True, so unconditional == prior prod behavior; the frozen 277-DKP
replay is byte-identical to the committed baseline. Full run: 458 passed (gate +
estimator suite) + 93 passed (same_building / 781 / tier_a / segment_guard).
Добавляет тест test_n_analogs_reflects_deduped_count: 3 дубля одного объекта
(один source_id) → 1 кандидат (freshest scraped_at); 3 разных объекта → все 3.
Верифицирует ключевое требование #1871 P2: n_analogs отражает дедупнутое число,
а не raw кол-во строк в listings с дублями (prod: 797 yandex + 93 cian дублей
раздували n_analogs и искажали медиану/перцентили).
