d6af69f4cb
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
216 lines
7.0 KiB
Python
216 lines
7.0 KiB
Python
"""Unit tests for analysis.data_audit."""
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from __future__ import annotations
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import sqlite3
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from datetime import UTC, datetime
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from decimal import Decimal
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from pathlib import Path
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from cerbero_bite.analysis.data_audit import (
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MarketAuditReport,
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audit_market_snapshots,
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)
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from cerbero_bite.analysis.data_audit import ( # noqa: PLC2701
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_detect_gaps,
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_expected_ticks,
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_max_zero_streak,
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)
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from cerbero_bite.state import connect, run_migrations, transaction
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def test_expected_ticks_basic() -> None:
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since = datetime(2026, 5, 12, 12, 0, tzinfo=UTC)
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until = datetime(2026, 5, 12, 13, 0, tzinfo=UTC)
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# 12:00, 12:15, 12:30, 12:45 → 4 ticks before 13:00
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assert _expected_ticks(since, until) == 4
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def test_expected_ticks_inclusive_left_exclusive_right() -> None:
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since = datetime(2026, 5, 12, 12, 0, tzinfo=UTC)
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until = datetime(2026, 5, 12, 12, 15, tzinfo=UTC)
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# Only 12:00
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assert _expected_ticks(since, until) == 1
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def test_expected_ticks_unaligned_since_rounds_up() -> None:
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since = datetime(2026, 5, 12, 12, 7, tzinfo=UTC)
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until = datetime(2026, 5, 12, 12, 30, tzinfo=UTC)
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# First aligned tick after 12:07 is 12:15, then 12:30 is excluded
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assert _expected_ticks(since, until) == 1
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def test_expected_ticks_non_multiple_span_uses_ceiling() -> None:
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# Span = 16 min (12:00 → 12:16): ticks 12:00 AND 12:15 are < 12:16.
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# floor(16/15) = 1 would under-count; the correct answer is 2.
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since = datetime(2026, 5, 12, 12, 0, tzinfo=UTC)
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until = datetime(2026, 5, 12, 12, 16, tzinfo=UTC)
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assert _expected_ticks(since, until) == 2
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def test_expected_ticks_exact_quarter_boundary_is_excluded() -> None:
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# Until landing exactly on a */15 tick: that tick is NOT counted
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# because the window is half-open on the right.
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since = datetime(2026, 5, 12, 12, 0, tzinfo=UTC)
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until = datetime(2026, 5, 12, 12, 45, tzinfo=UTC)
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# Ticks at 12:00, 12:15, 12:30 → 3 (12:45 excluded)
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assert _expected_ticks(since, until) == 3
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def test_detect_gaps_returns_empty_when_no_gap() -> None:
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ts = [
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datetime(2026, 5, 12, 12, 0, tzinfo=UTC),
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datetime(2026, 5, 12, 12, 15, tzinfo=UTC),
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datetime(2026, 5, 12, 12, 30, tzinfo=UTC),
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]
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assert _detect_gaps(ts) == ()
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def test_detect_gaps_flags_above_threshold() -> None:
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ts = [
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datetime(2026, 5, 12, 12, 0, tzinfo=UTC),
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datetime(2026, 5, 12, 12, 45, tzinfo=UTC), # 45-min gap
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datetime(2026, 5, 12, 13, 0, tzinfo=UTC),
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]
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gaps = _detect_gaps(ts)
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assert len(gaps) == 1
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assert gaps[0].gap_minutes == 45
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assert gaps[0].prev_timestamp == ts[0]
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assert gaps[0].next_timestamp == ts[1]
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def test_detect_gaps_ignores_threshold_boundary() -> None:
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# 20-min gap is exactly the threshold → NOT flagged (strict >)
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ts = [
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datetime(2026, 5, 12, 12, 0, tzinfo=UTC),
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datetime(2026, 5, 12, 12, 20, tzinfo=UTC),
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]
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assert _detect_gaps(ts) == ()
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def test_max_zero_streak_empty() -> None:
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assert _max_zero_streak([]) == 0
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def test_max_zero_streak_no_zeros() -> None:
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assert _max_zero_streak([1, 1, 1, 1]) == 0
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def test_max_zero_streak_single_zero_block() -> None:
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assert _max_zero_streak([1, 0, 0, 0, 1, 0, 1]) == 3
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def test_max_zero_streak_all_zeros() -> None:
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assert _max_zero_streak([0, 0, 0]) == 3
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def _make_conn(tmp_path: Path) -> sqlite3.Connection:
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conn = connect(tmp_path / "state.sqlite")
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run_migrations(conn)
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return conn
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def _seed_market(
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conn: sqlite3.Connection,
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*,
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asset: str,
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ts: datetime,
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spot: Decimal | None = Decimal("3000"),
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dvol: Decimal | None = Decimal("55"),
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dealer_net_gamma: Decimal | None = Decimal("-50000000"),
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fetch_ok: int = 1,
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) -> None:
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conn.execute(
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"INSERT INTO market_snapshots(timestamp, asset, spot, dvol, "
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"dealer_net_gamma, fetch_ok) VALUES (?,?,?,?,?,?)",
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(
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ts.isoformat(),
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asset,
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str(spot) if spot is not None else None,
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str(dvol) if dvol is not None else None,
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str(dealer_net_gamma) if dealer_net_gamma is not None else None,
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fetch_ok,
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),
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)
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def test_audit_market_full_coverage(tmp_path: Path) -> None:
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conn = _make_conn(tmp_path)
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since = datetime(2026, 5, 12, 12, 0, tzinfo=UTC)
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until = datetime(2026, 5, 12, 13, 0, tzinfo=UTC)
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try:
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with transaction(conn):
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for minute in (0, 15, 30, 45):
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_seed_market(
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conn,
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asset="ETH",
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ts=since.replace(minute=minute),
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)
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report = audit_market_snapshots(
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conn, asset="ETH", since=since, until=until
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)
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finally:
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conn.close()
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assert report.asset == "ETH"
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assert report.expected_ticks == 4
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assert report.actual_ticks == 4
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assert report.coverage_pct == Decimal("100")
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assert report.gaps == ()
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assert report.fetch_ok_zero_count == 0
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assert report.max_fetch_ok_zero_streak == 0
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def test_audit_market_detects_gap_and_streak(tmp_path: Path) -> None:
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conn = _make_conn(tmp_path)
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since = datetime(2026, 5, 12, 12, 0, tzinfo=UTC)
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until = datetime(2026, 5, 12, 13, 30, tzinfo=UTC)
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try:
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with transaction(conn):
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# 12:00 OK, 12:15 OK, gap (12:30, 12:45 missing), 13:00 fail,
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# 13:15 fail, 13:30 outside window.
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_seed_market(conn, asset="ETH", ts=since.replace(minute=0))
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_seed_market(conn, asset="ETH", ts=since.replace(minute=15))
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_seed_market(
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conn, asset="ETH", ts=since.replace(hour=13, minute=0),
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fetch_ok=0,
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)
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_seed_market(
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conn, asset="ETH", ts=since.replace(hour=13, minute=15),
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fetch_ok=0,
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)
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report = audit_market_snapshots(
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conn, asset="ETH", since=since, until=until
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)
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finally:
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conn.close()
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assert report.expected_ticks == 6
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assert report.actual_ticks == 4
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# 12:15 → 13:00 is a 45-min gap → flagged
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assert len(report.gaps) == 1
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assert report.gaps[0].gap_minutes == 45
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assert report.fetch_ok_zero_count == 2
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assert report.max_fetch_ok_zero_streak == 2
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def test_audit_market_null_rate_per_column(tmp_path: Path) -> None:
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conn = _make_conn(tmp_path)
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since = datetime(2026, 5, 12, 12, 0, tzinfo=UTC)
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until = datetime(2026, 5, 12, 13, 0, tzinfo=UTC)
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try:
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with transaction(conn):
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# 4 ticks, 1 with dealer_net_gamma=NULL → 25% null
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for minute in (0, 15, 30, 45):
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_seed_market(
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conn,
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asset="ETH",
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ts=since.replace(minute=minute),
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dealer_net_gamma=None if minute == 30 else Decimal("-50000000"),
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)
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report = audit_market_snapshots(
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conn, asset="ETH", since=since, until=until
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)
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finally:
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conn.close()
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assert report.null_rate_by_column["dealer_net_gamma"] == Decimal("0.25")
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assert report.null_rate_by_column["spot"] == Decimal("0")
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