v1: executing-plans 模式生成,54 文件 1320 行 Python
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[project]
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name = "example"
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copybook_paths = ["./copybooks", "/usr/share/copybooks"]
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dialect = "ibm"
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[llm]
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model = "gpt-4o-mini"
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timeout = 15
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cache_dir = ".cache/llm"
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[coverage]
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default_target = "boundary"
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[comparison]
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rounding_mode = "TRUNCATE"
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default_tolerance = 0.01
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[runner]
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mode = "native"
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[spark]
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master = "local[*]"
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input_format = "json"
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num_records = 1000
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