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Krzysztof kuhy Rudnicki
e0c9befdeb
run(dialect=), run_problem(slug|statement, sql, dialect): ASCII-table parser, per-dialect DDL, value-wise compare. Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01WzxdWYGW5NZL5uVpnqmNKo
63 lines
1.5 KiB
Python
63 lines
1.5 KiB
Python
"""SQL drills (MySQL, PostgreSQL): sandboxed grading and LeetCode examples."""
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from __future__ import annotations
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from sql_drills._dialect import DIALECTS, Dialect, DialectError, ensure_running, stop
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from sql_drills._engine import CONTAINER, IMAGE, EngineError
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from sql_drills._generate import DrillSpec, SpecError, save_generated
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from sql_drills._grade import check_prediction, run
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from sql_drills._lc_problem import Example, NoExamplesError, Problem, parse_problem
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from sql_drills._lc_run import ProblemUnavailableError, run_problem
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from sql_drills._model import (
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TOPICS,
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CellDiff,
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Drill,
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DrillKindError,
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DrillMeta,
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PredResult,
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RunResult,
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Table,
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UnknownDrillError,
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)
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from sql_drills._paths import data_dir
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from sql_drills._pg_engine import CONTAINER as PG_CONTAINER
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from sql_drills._pg_engine import IMAGE as PG_IMAGE
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from sql_drills._store import get_drill, list_drills, topics
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__all__ = [
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"CONTAINER",
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"DIALECTS",
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"IMAGE",
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"PG_CONTAINER",
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"PG_IMAGE",
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"TOPICS",
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"CellDiff",
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"Dialect",
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"DialectError",
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"Drill",
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"DrillKindError",
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"DrillMeta",
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"DrillSpec",
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"EngineError",
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"Example",
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"NoExamplesError",
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"PredResult",
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"Problem",
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"ProblemUnavailableError",
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"RunResult",
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"SpecError",
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"Table",
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"UnknownDrillError",
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"check_prediction",
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"data_dir",
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"ensure_running",
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"get_drill",
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"list_drills",
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"parse_problem",
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"run",
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"run_problem",
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"save_generated",
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"stop",
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"topics",
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]
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