Description #

Copyright statement remover - removes text related to copyright statements from the content

Key features #

• Copyright statement detection: Automatically identifies copyright statement comments in code
• Intelligent cleanup: Precisely removes content based on copyright statement characteristics
• Multi-format support: Supports block comment and line comment formats

Application scenarios #

• Code copyright statement cleanup
• Text preprocessing and standardization
• Code quality inspection and optimization

Technical features #

• Supports two copyright statement formats:
  • Block comment format: /* ... Comment blocks within */ that contain the copyright keyword
  • Line comment format: Line comments starting with //, #, or --

Operator parameters #

Input #

Output #

Column of cleaned text, with copyright statement-related content removed

Examples #

The following code demonstrates how to use daft to run the operator and remove copyright statement content from text.

from __future__ import annotations

import os

import daft
from daft import col
from daft.las.functions.text.copyright_cleaner import CopyrightCleaner
from daft.las.functions.udf import las_udf

if __name__ == "__main__":

    if os.getenv("DAFT_RUNNER", "native") == "ray":
        import logging

        import ray

        def configure_logging():
            logging.basicConfig(
                level=logging.INFO,
                format="%(asctime)s - %(name)s - %(levelname)s - %(message)s",
                datefmt="%Y-%m-%d %H:%M:%S.%s".format(),
            )
            logging.getLogger("tracing.span").setLevel(logging.WARNING)
            logging.getLogger("daft_io.stats").setLevel(logging.WARNING)
            logging.getLogger("DaftStatisticsManager").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaScheduler").setLevel(logging.WARNING)
            logging.getLogger("DaftFlotillaDispatcher").setLevel(logging.WARNING)

        ray.init(dashboard_host="0.0.0.0", runtime_env={"worker_process_setup_hook": configure_logging})
        daft.set_runner_ray()
    daft.set_execution_config(actor_udf_ready_timeout=600)
    daft.set_execution_config(min_cpu_per_task=0)

    samples = {
        "text": [
            "/* \n * Copyright (c) 2023 Jane Smith\n * \n */ ",
            
        ]
    }

    ds = daft.from_pydict(samples)
    ds = ds.with_column(
        "cleaned_text",
        las_udf(
            CopyrightCleaner,
            construct_args={},
        )(col("text")),
    )

    ds.show()
    # ╭──────────────────────────────────────────────┬──────────────────────────────────────────────╮
    # │ text                                         ┆ cleaned_text                                │
    # │ ---                                          ┆ ---                                          │
    # │ Utf8                                         ┆ Utf8                                         │
    # ╞══════════════════════════════════════════════╪══════════════════════════════════════════════╡
    # │ /* 
 * Copyright (c) 2023 Jane Smith
 * 本    ┆  你好                                        │
    # │ 代码依据 Apache License 2.0 授权，详见随附的     ┆                                             │
    # │ LICENSE 文件。 */ 你好                        ┆                                             │
    # ├╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┼╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌╌┤
    # │ # 版权 (c) 2023 Jane Smith
# 本代码依据 Apache    ┆  你好                                        │
    # │ License 2.0 授权，详见随附的 LICENSE 文件。 \n     ┆                                             │
    # │ 你好                                          ┆                                             │
    # ╰──────────────────────────────────────────────┴──────────────────────────────────────────────╯