"""Section 7 gets the audit that shows the similarity in the step decides whether the readings
pay (audit_similarity_places.py, rerun on the regenerated server sweeps); section 3 and the
abstract refer to it correctly; 314% -> 315% (18422/4443 = 4.146).  Exact anchors.

    python -u apply_article_audit_step.py
"""
from __future__ import annotations

PATH = "article/sim_numerics.md"

AUDIT_PARAGRAPH = (
    "\n\n**Which similarity stands in the step decides whether a reading pays.** The readings above, "
    "and the decision *defect* of §7.2, compare quantities directly — an ordinal judgment of which is "
    "more similar, in which every decreasing $S$ would decide alike. Their gains nevertheless depend "
    "on the $S$ that sets the step (`audit_similarity_places.py`, on the same sweeps): on the canonical "
    "set the triple chosen by shape gains 493 evaluations with the tent in the step and loses 250 with "
    "$1/\\sqrt{1+z^2}$; *defect* gains 283 with the tent and loses 215 with $1-|z|^{1/3}$. The records "
    "of this section are the pairing of the tent step with these judgments, not the judgments alone."
)

REPL = [
    ("the readings of §7 pay only with the tent in the step (§7, the audit of the gains), and in the "
     "proposed method replacing the tent by any other function costs 12% to 314% (Table 9a).",
     "the readings of §7 pay most with the tent in the step and some of them lose with other functions "
     "(§7), and in the proposed method replacing the tent by any other function costs 12% to 315% "
     "(Table 9a)."),
    ("and the similarity that sets the step, whose form is decisive (replacing it costs 12% to 314%).",
     "and the similarity that sets the step, whose form is decisive (replacing it costs 12% to 315%)."),
]

ANCHOR = ("Two selections that are each an improvement interfere, which is a reason to measure "
          "composition rather than assume it.")


def main():
    with open(PATH, encoding="utf8") as fh:
        text = fh.read()
    for old, _new in REPL + [(ANCHOR, "")]:
        if text.count(old) != 1:
            raise SystemExit(f"found {text.count(old)}x: {old[:80]}")
    for old, new in REPL:
        text = text.replace(old, new)
    text = text.replace(ANCHOR, ANCHOR + AUDIT_PARAGRAPH)
    with open(PATH, "w", encoding="utf8") as fh:
        fh.write(text)
    print("audit paragraph written")


if __name__ == "__main__":
    main()