216 lines
7.5 KiB
Python
216 lines
7.5 KiB
Python
import re
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import shlex
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from pathlib import Path
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from typing import Any, Callable, Dict, List, Tuple
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from joj3_config_generator.models import result, task
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from joj3_config_generator.models.common import Memory, Time
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from joj3_config_generator.models.const import JOJ3_CONFIG_ROOT
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from joj3_config_generator.models.task import Parser as parser_enum
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def get_conf_stage(
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task_conf: task.Config,
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task_stage: task.Stage,
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cached: Dict[str, None],
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) -> result.StageDetail:
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conf_stage = result.StageDetail(
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name=task_stage.name,
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# group is determined by adding between "[]" in the name of the task
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group=(
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match.group(1)
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if (match := re.search(r"\[([^\[\]]+)\]", task_stage.name or ""))
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else ""
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),
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executor=result.Executor(
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name="sandbox",
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with_=get_executor_with(task_stage, cached),
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),
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parsers=([result.Parser(name=parser) for parser in task_stage.parsers]),
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)
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processed_dict = get_processed_dict(task_stage)
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for idx, parser in enumerate(task_stage.parsers):
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if parser in processed_dict:
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fn, parser_model = processed_dict[parser]
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fn(parser_model, conf_stage.parsers[idx])
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elif parser == parser_enum.DIFF:
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fix_diff(
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task_stage,
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conf_stage.parsers[idx],
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conf_stage.executor,
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JOJ3_CONFIG_ROOT / task_conf.path.parent,
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)
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else:
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continue
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return conf_stage
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def get_processed_dict(
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task_stage: task.Stage,
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) -> Dict[parser_enum, Tuple[Callable[[Any, result.Parser], None], Any]]:
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processed_dict: Dict[
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parser_enum, Tuple[Callable[[Any, result.Parser], None], Any]
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] = {
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parser_enum.CLANG_TIDY: (fix_keyword, task_stage.clangtidy),
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parser_enum.KEYWORD: (fix_keyword, task_stage.keyword),
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parser_enum.CPPCHECK: (fix_keyword, task_stage.cppcheck),
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parser_enum.CPPLINT: (fix_keyword, task_stage.cpplint),
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parser_enum.RESULT_DETAIL: (fix_result_detail, task_stage.result_detail),
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parser_enum.DUMMY: (fix_dummy, task_stage.dummy),
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parser_enum.RESULT_STATUS: (fix_dummy, task_stage.result_status),
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parser_enum.FILE: (fix_file, task_stage.file),
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}
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return processed_dict
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def get_executor_with(
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task_stage: task.Stage, cached: Dict[str, None]
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) -> result.ExecutorWith:
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file_import = task_stage.files.import_
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copy_in_files = [file for file in file_import if file not in cached]
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file_export = task_stage.files.export
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copy_out_files = ["stdout", "stderr"]
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executor_with_config = result.ExecutorWith(
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default=result.Cmd(
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args=shlex.split(task_stage.command),
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copy_in={
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file: result.LocalFile(src=str(JOJ3_CONFIG_ROOT / file))
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# all copyin files store in this tools folder
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# are there any corner cases
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for file in copy_in_files
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},
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copy_out=copy_out_files,
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copy_in_cached={file: file for file in cached},
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copy_out_cached=file_export,
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cpu_limit=Time(task_stage.limit.cpu),
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clock_limit=2 * Time(task_stage.limit.cpu),
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memory_limit=Memory(task_stage.limit.mem),
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stderr=result.Collector(
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name="stderr", pipe=True, max=Memory(task_stage.limit.stderr)
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),
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stdout=result.Collector(
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name="stdout", pipe=True, max=Memory(task_stage.limit.stdout)
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),
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),
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cases=[],
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)
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for file in file_export:
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cached[file] = None
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return executor_with_config
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def fix_keyword(
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keyword_config: task.ParserKeyword, keyword_parser: result.Parser
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) -> None:
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keyword_weight: List[result.KeywordConfig] = []
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unique_weight = list(set(keyword_config.weight))
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for score in unique_weight:
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keyword_weight.append(result.KeywordConfig(keywords=[], score=score))
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for idx, score in enumerate(unique_weight):
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for idx_, score_ in enumerate(keyword_config.weight):
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if score == score_:
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keyword_weight[idx].keywords.append(keyword_config.keyword[idx_])
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else:
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continue
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keyword_parser.with_ = result.KeywordMatchConfig(matches=keyword_weight)
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def fix_result_detail(
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result_detail_parser_config: task.ParserResultDetail,
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result_detail_parser: result.Parser,
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) -> None:
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show_files = []
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if result_detail_parser_config.stdout:
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show_files.append("stdout")
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if result_detail_parser_config.stderr:
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show_files.append("stderr")
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result_detail_parser.with_ = result.ResultDetailConfig(
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score=0,
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comment="",
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show_files=show_files,
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show_exit_status=result_detail_parser_config.exitstatus,
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show_runtime=result_detail_parser_config.time,
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show_memory=result_detail_parser_config.mem,
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)
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def fix_dummy(
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dummy_parser_config: task.ParserDummy, dummy_parser: result.Parser
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) -> None:
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# we don't use dummy parser in real application
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dummy_parser.with_ = result.DummyConfig(
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score=dummy_parser_config.score,
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comment=dummy_parser_config.comment,
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force_quit_on_not_accepted=dummy_parser_config.force_quit,
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)
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def fix_file(file_parser_config: task.ParserFile, file_parser: result.Parser) -> None:
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file_parser.with_ = result.FileConfig(name=file_parser_config.name)
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def fix_diff(
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task_stage: task.Stage,
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diff_parser_config: result.Parser,
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diff_executor: result.Executor,
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base_dir: Path,
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) -> None:
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skip = task_stage.skip
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cases = task_stage.cases
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finalized_cases = [case for case in cases if case not in skip]
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stage_cases = []
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parser_cases = []
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for case in finalized_cases:
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case_stage = task_stage.cases.get(case) if task_stage.cases else None
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if not case_stage:
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continue
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cpu_limit = case_stage.limit.cpu
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clock_limit = 2 * case_stage.limit.cpu
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memory_limit = case_stage.limit.mem
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command = case_stage.command
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stdin = case_stage.in_ if case_stage.in_ != "" else f"{case}.in"
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stdout = case_stage.out_ if case_stage.out_ != "" else f"{case}.out"
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stage_cases.append(
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result.OptionalCmd(
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stdin=result.LocalFile(
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src=str(base_dir / stdin),
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),
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args=shlex.split(command) if command else None,
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cpu_limit=cpu_limit,
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clock_limit=clock_limit,
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memory_limit=memory_limit,
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proc_limit=50,
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)
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)
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# Ensure case_stage.diff and case_stage.diff.output are defined
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diff_output = (
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case_stage.diff.output
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if case_stage.diff and case_stage.diff.output
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else None
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)
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if diff_output:
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parser_cases.append(
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result.DiffCasesConfig(
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outputs=[
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result.DiffOutputConfig(
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score=diff_output.score,
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file_name="stdout",
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answer_path=str(base_dir / stdout),
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force_quit_on_diff=diff_output.force_quit,
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always_hide=diff_output.hide,
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compare_space=not diff_output.ignore_spaces,
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)
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]
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)
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)
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diff_executor.with_.cases = stage_cases
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diff_parser_config.with_ = result.DiffConfig(name="diff", cases=parser_cases)
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