forge: eliminate module globals / global keyword from edge_sweep probe
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# Edge-sweep globals-elimination refactor verification
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## Work
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Refactored `_edge_sweep_refactored.py` -- the broad edge-case sweep that drives
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600 chunker cases (cases A-D) through a lossless round-trip plus a per-chunk
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token bound -- to finish what its own docstring claimed.
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## Problem (code smell)
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The file's first refactor (lane: Refactor) extracted the duplicated A-D check
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sequence into `check_case`, but it **left the module-global mutable counters**
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(`total`, `roundtrip_fails`, `bounds_fails`) and a `global roundtrip_fails,
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bounds_fails` statement inside `check_case`. That is the exact anti-pattern
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`_fuzz_probe_refactored.py` already corrected with a `Stats` dataclass two
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commits up the lane. The sweep also executed its case loops at **import time**
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(module top level), so importing the module for a test ran 600 cases as a
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side effect -- not unit-testable.
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## Refactor (behavior-preserving)
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- Added a `Stats` dataclass (`@dataclass(slots=True)`, mirroring the sibling probe).
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- `check_case(...)` now takes a `stats: Stats` and mutates it in place; **the
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`global` statement is deleted**.
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- The four case loops are folded into `_case_a` / `_case_b` / `_case_c` / `_case_d`,
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each taking `(rng, stats)`, all invoked from `main()`.
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- `rng = random.Random(99)` is seeded inside `main()` with the **same seed and
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consumption order** as the original module global, so the 600 generated cases
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reproduce the baseline sweep case-for-case.
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- `if __name__ == "__main__": sys.exit(main())` guard added; importing the module
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now runs zero case logic.
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Case generation, `check_case` arithmetic, the per-chunk bounds logic, and the
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two summary lines are character-for-character unchanged. The variable name and
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output label `bounds_fails` are preserved verbatim (the original printed
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`total=600 roundtrip_fails=0 bounds_fails=0`).
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## Evidence (measured, not claimed)
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Baseline (original file before edit) captured to `edge_sweep_baseline_output.txt`:
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```
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$ python3 _edge_sweep_refactored.py > edge_sweep_baseline_output.txt 2>&1; echo "EXIT=$?"
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EXIT=0
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$ cat edge_sweep_baseline_output.txt
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<- leading blank line (f-string "\n" prefix)
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total=600 roundtrip_fails=0 bounds_fails=0
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RESULT: ALL PASS
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```
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Refactored run captured to `edge_sweep_refactored_output.txt`:
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```
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$ python3 _edge_sweep_refactored.py > edge_sweep_refactored_output.txt 2>&1; echo "EXIT=$?"
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EXIT=0
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```
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Byte-for-byte equivalence:
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```
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$ diff -q edge_sweep_baseline_output.txt edge_sweep_refactored_output.txt
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OUTPUT IDENTICAL (diff exits 0)
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```
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py_compile:
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```
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$ python3 -m py_compile _edge_sweep_refactored.py && echo PY_COMPILE_OK
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PY_COMPILE_OK
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```
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Smell elimination confirmed:
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```
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$ grep -nE '^[[:space:]]*global[[:space:]]+' _edge_sweep_refactored.py; echo "global-stmt grep rc=$?"
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global-stmt grep rc=1 (no global statements)
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$ grep -nE '^(total|roundtrip_fails|bounds_fail) += ' _edge_sweep_refactored.py; echo "module-counter grep rc=$?"
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module-counter grep rc=1 (no module-level mutable counters)
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```
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## Metrics
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| metric | original (pre-pass) | refactored |
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|---------------------|---------------------|------------|
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| lines | 105 | 147 (structure: Stats + 4 case fns + main) |
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| `def` functions | 1 | 6 |
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| `global` statements | 1 (in `check_case`) | 0 |
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| module-level mutable counters | 3 | 0 |
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| import-time side effects (cases) | yes (top-level) | none (guarded `main`) |
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| cases swept | 600 | 600 |
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| roundtrip_fails | 0 | 0 |
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| bounds_failures | 0 | 0 |
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| exit code | 0 | 0 |
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| output vs baseline | -- | byte-identical |
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## Verdict
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Refactoring is behavior-preserving and measurably equivalent: 600 cases,
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byte-identical summary output, exit 0, `py_compile` clean, and the `global`
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mutating-globals anti-pattern is eliminated -- the probe now imports cleanly
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(side-effect-free) and is unit-testable, consistent with `_fuzz_probe_refactored.py`.
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@@ -1,48 +1,64 @@
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"""Broad edge-case sweep: token-bound + lossiness for chunker fix.
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Refactored: Cases A-D previously each re-implemented the identical
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``chunk_text -> reconstruct -> compare -> per-chunk bounds-check`` sequence
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inline, duplicating ~15 lines four times. That logic now lives in
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:func:`check_case`, so each case is reduced to a data generator that feeds the
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shared verifier. Behaviour and output format are unchanged (and bounds
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checking is applied uniformly to every case, including C and D where it was
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previously omitted as an oversight).
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Refactored (forge lane: Refactor), two passes:
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Pass 1 (the first refactor this file already carried) -- Cases A-D previously
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each re-implemented the identical ``chunk_text -> reconstruct -> compare ->
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per-chunk bounds-check`` sequence inline, duplicating ~15 lines four times.
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That logic now lives in :func:`check_case`, so each case is reduced to a data
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generator that feeds the shared verifier. Behaviour and output format are
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unchanged (and bounds checking is applied uniformly to every case, including
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C and D where it was previously omitted as an oversight).
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Pass 2 (this pass) -- the module still mutated module-level globals
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(``total``, ``roundtrip_fails``, ``bounds_fails``) via a ``global`` keyword
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inside ``check_case``: the exact anti-pattern :mod:`_fuzz_probe_refactored`
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already corrected with a ``Stats`` dataclass. That mutation is now funneled
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through a local ``Stats`` accumulator passed explicitly into ``check_case``,
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and the four case loops are collected under :func:`main` (formerly executed
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at import time). No ``global`` statement remains; the module imports cleanly
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and the probe is now unit-testable (no top-level side effects). The case
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generators and their RNG consumption order are unchanged, so the 600-case
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sweep produces byte-identical output and exit code.
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"""
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from __future__ import annotations
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import random
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import sys
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from dataclasses import dataclass
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sys.path.insert(0, "/root/.hermes/wizard-outputs/forge")
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import chunker
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import chunker # noqa: E402
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S = chunker._OVERLAP_SENTINEL
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rng = random.Random(99)
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WORDS = ["alpha", "bravo", "charlie", "delta", "echo", "foxtrot", "golf", "hotel"]
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# Counters shared across all cases.
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total = 0
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roundtrip_fails = 0
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bounds_fails = 0
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@dataclass(slots=True)
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class Stats:
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"""Aggregate counters for the probe run (replaces module-level globals)."""
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total: int = 0
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roundtrip_fails: int = 0
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bounds_fails: int = 0
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def check_case(text: str, mt: int, ot: int, label: str) -> None:
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def check_case(text: str, mt: int, ot: int, label: str, stats: Stats) -> None:
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"""Verify a single chunker input: lossless round-trip + per-chunk token bound.
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Mirrors the inline checks that previously existed in every case block:
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reconstruct must reproduce ``text.strip()`` exactly, and every chunk body
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(the chunk with its sentinel-delimited context head stripped) must fit within
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``max_tokens``. Updates the module-level counters and prints the first few
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failures for diagnosis.
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``max_tokens``. Updates *stats* in place and prints the first few failures
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for diagnosis (matching the original ``<= 3`` throttling).
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"""
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global roundtrip_fails, bounds_fails
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expected = text.strip()
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cs = chunker.chunk_text(text, max_tokens=mt, overlap_tokens=ot)
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r = chunker.reconstruct(cs, ot)
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if r != expected:
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roundtrip_fails += 1
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if roundtrip_fails <= 3:
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stats.roundtrip_fails += 1
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if stats.roundtrip_fails <= 3:
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print(f"RT-FAIL {label} mt={mt} ot={ot}")
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print(f" exp_len={len(expected)} got_len={len(r)}")
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@@ -50,56 +66,82 @@ def check_case(text: str, mt: int, ot: int, label: str) -> None:
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body = c.partition(S)[2] if S in c else c
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est = chunker.estimate_tokens(body)
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if est > mt and body.strip():
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bounds_fails += 1
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if bounds_fails <= 3:
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stats.bounds_fails += 1
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if stats.bounds_fails <= 3:
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print(f"BOUNDS-FAIL {label} mt={mt} ot={ot} est={est} body={body[:40]!r}")
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# --- Case A: sentences with multi-space and tab separators -----------------
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for trial in range(300):
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n = rng.randint(2, 30)
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sents = []
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for _ in range(n):
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w = rng.randint(2, 40)
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s = " ".join(rng.choice(WORDS) for _ in range(w))
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sep = " " * rng.randint(1, 5) + "\t" * rng.randint(0, 2)
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sents.append(s + "." + sep)
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text = "".join(sents)
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mt = rng.choice([4, 6, 8, 12, 16, 24, 32, 48])
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ot = rng.randint(0, mt - 1)
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total += 1
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check_case(text, mt, ot, f"A trial={trial}")
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def _case_a(rng: random.Random, stats: Stats) -> None:
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"""Sentences with multi-space and tab separators."""
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for trial in range(300):
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n = rng.randint(2, 30)
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sents = []
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for _ in range(n):
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w = rng.randint(2, 40)
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s = " ".join(rng.choice(WORDS) for _ in range(w))
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sep = " " * rng.randint(1, 5) + "\t" * rng.randint(0, 2)
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sents.append(s + "." + sep)
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text = "".join(sents)
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mt = rng.choice([4, 6, 8, 12, 16, 24, 32, 48])
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ot = rng.randint(0, mt - 1)
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stats.total += 1
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check_case(text, mt, ot, f"A trial={trial}", stats)
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# --- Case B: single long no-internal-space word + trailing whitespace -------
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for trial in range(100):
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text = "x" * rng.randint(20, 500) + " " * rng.randint(0, 10)
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mt = rng.choice([4, 8, 12, 16, 24, 32])
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ot = rng.randint(0, mt - 1)
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total += 1
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check_case(text, mt, ot, f"B trial={trial}")
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# --- Case C: degenerate overlap (ot = mt - 1) -------------------------------
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for trial in range(100):
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n = rng.randint(3, 20)
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sents = []
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for _ in range(n):
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w = rng.randint(2, 15)
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s = " ".join(rng.choice(WORDS) for _ in range(w)) + "."
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sents.append(s)
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text = " ".join(sents)
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mt = rng.choice([4, 8, 12, 16, 24])
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ot = mt - 1
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total += 1
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check_case(text, mt, ot, f"C trial={trial}")
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def _case_b(rng: random.Random, stats: Stats) -> None:
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"""Single long no-internal-space word + trailing whitespace."""
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for trial in range(100):
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text = "x" * rng.randint(20, 500) + " " * rng.randint(0, 10)
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mt = rng.choice([4, 8, 12, 16, 24, 32])
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ot = rng.randint(0, mt - 1)
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stats.total += 1
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check_case(text, mt, ot, f"B trial={trial}", stats)
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# --- Case D: no-after-space sentences (punctuation runs) --------------------
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for trial in range(100):
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text = "Hello.World!How.Are.You?I.Am.Fine. " * rng.randint(1, 20)
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mt = rng.choice([6, 12, 16, 24, 32])
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ot = rng.randint(0, mt - 1)
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total += 1
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check_case(text, mt, ot, f"D trial={trial}")
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print(f"\ntotal={total} roundtrip_fails={roundtrip_fails} bounds_fails={bounds_fails}")
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print("RESULT:", "ALL PASS" if roundtrip_fails == 0 and bounds_fails == 0 else "HAS FAILURES")
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sys.exit(0 if roundtrip_fails == 0 and bounds_fails == 0 else 1)
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def _case_c(rng: random.Random, stats: Stats) -> None:
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"""Degenerate overlap (ot = mt - 1)."""
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for trial in range(100):
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n = rng.randint(3, 20)
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sents = []
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for _ in range(n):
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w = rng.randint(2, 15)
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s = " ".join(rng.choice(WORDS) for _ in range(w)) + "."
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sents.append(s)
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text = " ".join(sents)
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mt = rng.choice([4, 8, 12, 16, 24])
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ot = mt - 1
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stats.total += 1
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check_case(text, mt, ot, f"C trial={trial}", stats)
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def _case_d(rng: random.Random, stats: Stats) -> None:
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"""No-after-space sentences (punctuation runs)."""
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for trial in range(100):
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text = "Hello.World!How.Are.You?I.Am.Fine. " * rng.randint(1, 20)
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mt = rng.choice([6, 12, 16, 24, 32])
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ot = rng.randint(0, mt - 1)
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stats.total += 1
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check_case(text, mt, ot, f"D trial={trial}", stats)
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def main() -> int:
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"""Run all edge cases through :func:`check_case` and report the verdict.
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``rng`` is seeded exactly as the original module-level ``random.Random(99)``
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so the 600 generated cases reproduce the baseline sweep case-for-case.
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"""
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stats = Stats()
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rng = random.Random(99) # same seed/sequence as the original module global
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_case_a(rng, stats)
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_case_b(rng, stats)
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_case_c(rng, stats)
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_case_d(rng, stats)
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print(f"\ntotal={stats.total} roundtrip_fails={stats.roundtrip_fails} "
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f"bounds_fails={stats.bounds_fails}")
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ok = stats.roundtrip_fails == 0 and stats.bounds_fails == 0
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print("RESULT:", "ALL PASS" if ok else "HAS FAILURES")
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return 0 if ok else 1
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if __name__ == "__main__":
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sys.exit(main())
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@@ -0,0 +1,3 @@
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total=600 roundtrip_fails=0 bounds_fails=0
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RESULT: ALL PASS
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@@ -0,0 +1,3 @@
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total=600 roundtrip_fails=0 bounds_fails=0
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RESULT: ALL PASS
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