hangshuo652
bc1d56d1a4
P0.6: gcov infrastructure P1: extract_structure output expansion (11 new feature fields) P2: Confusion group rule engine (8 pairs + contradiction + backtrack) P3: 4-factor confidence calculation + quality gate update P4: 33+2 COBOL program type test samples (22 files, 7 categories) P5: parametrized/ test data generation engine P6: japanese_data.py lookup tables P7-10: Type-specific test suites (~159 parametrized tests) P11: Full classification pipeline (classify_program) + orchestrator integration P12: Documentation (module-interfaces, test-plan v3.0, coverage-matrix) Architecture decisions: - classification_pipeline/ merged to hina/pipeline/ - parametrized/ as independent module - japanese_data.py as root-level file - hina/__all__ only exports classify_program() Co-Authored-By: Claude <noreply@anthropic.com>
32 lines
1009 B
Python
32 lines
1009 B
Python
"""编译运行引擎包
|
||
|
||
公开 API:
|
||
CobolRunner — COBOL 编译 + 运行（cobc）
|
||
NativeJavaRunner — Java 本地运行（mvn + java -jar）
|
||
SparkJavaRunner — Spark 运行（spark-submit）
|
||
DataWriter — 测试数据写入（二进制/JSON）
|
||
Runner — 抽象基类
|
||
BuildResult — 编译结果
|
||
RunResult — 运行结果
|
||
CoverageReport — 覆盖率报告
|
||
"""
|
||
|
||
from __future__ import annotations
|
||
|
||
from .runner import Runner, BuildResult, RunResult, CoverageReport
|
||
from .cobol_runner import CobolRunner
|
||
from .native_java_runner import NativeJavaRunner
|
||
from .spark_java_runner import SparkJavaRunner
|
||
from .data_writer import DataWriter
|
||
|
||
__all__ = [
|
||
"CobolRunner", # class
|
||
"NativeJavaRunner", # class
|
||
"SparkJavaRunner", # class
|
||
"DataWriter", # class
|
||
"Runner", # ABC
|
||
"BuildResult", # dataclass
|
||
"RunResult", # dataclass
|
||
"CoverageReport", # dataclass
|
||
]
|