From 84bae60dff7a09ff09ca3eb528d450b99fc64aeb Mon Sep 17 00:00:00 2001 From: Kenneth Reitz Date: Sun, 7 Jun 2026 01:10:39 -0400 Subject: [PATCH] RhymePad: phonetic rhyme scratchpad for poets & rappers FastAPI backend with CMU-dict rhyme detection (perfect, internal, multisyllabic slant, consonance, multi-word phrases), g2p fallback for unknown words, rhyme/synonym lookup, draggable stanza reordering, localStorage drafts, and synthesized beats. 19 regression tests drawn from real verses (Wayne, Em, Kanye). Co-Authored-By: Claude Opus 4.8 (1M context) --- .gitignore | 4 + README.md | 39 +++ app.py | 545 ++++++++++++++++++++++++++++++ pyproject.toml | 21 ++ static/index.html | 733 ++++++++++++++++++++++++++++++++++++++++ tests/test_rhymes.py | 192 +++++++++++ uv.lock | 771 +++++++++++++++++++++++++++++++++++++++++++ 7 files changed, 2305 insertions(+) create mode 100644 .gitignore create mode 100644 README.md create mode 100644 app.py create mode 100644 pyproject.toml create mode 100644 static/index.html create mode 100644 tests/test_rhymes.py create mode 100644 uv.lock diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..b63d8e7 --- /dev/null +++ b/.gitignore @@ -0,0 +1,4 @@ +.venv/ +__pycache__/ +*.pyc +.DS_Store diff --git a/README.md b/README.md new file mode 100644 index 0000000..b6d8174 --- /dev/null +++ b/README.md @@ -0,0 +1,39 @@ +# RhymePad + +A scratchpad for poets & rappers. Write in the pad; rhymes are detected +phonetically (CMU Pronouncing Dictionary) and color-coded as you type — +end rhymes, **internal rhymes**, and slant rhymes included. Comes with a +rhyme/synonym lookup, draggable stanza reordering, and synthesized beats +with adjustable tempo. + +## Run + +```console +$ uv run uvicorn app:app --reload +``` + +Then open . + +## How rhyme detection works + +- Every word is mapped to its CMU phonemes (`pronouncing`), with + lyric-friendly fallbacks (`runnin'` → `running`, possessives, and a + spelling heuristic for made-up words). +- **Perfect rhymes** share everything from the last stressed vowel on + (`tonight` / `light` / `flight` → `AY T`). These are matched anywhere + in a line — that's the internal rhyme detection. +- **Slant rhymes** share just the vowel sounds from the last stressed + vowel (`hold` / `coal`). Applied to line endings that didn't find a + perfect match. +- Same color = same sound. Underline = line-ending rhyme (the stanza's + a/b/a/b scheme); soft glow only = internal rhyme. + +## API + +- `POST /api/analyze` `{"text": "..."}` → token spans, rhyme groups, + per-stanza schemes +- `GET /api/lookup?word=light&mode=rhyme|near` → frequency-ranked + rhymes / near rhymes, grouped by syllable count + +Synonyms come from the free [Datamuse](https://www.datamuse.com/api/) +API, client-side. diff --git a/app.py b/app.py new file mode 100644 index 0000000..7cb3a97 --- /dev/null +++ b/app.py @@ -0,0 +1,545 @@ +"""RhymePad — phoneme-aware rhyme analysis for poets & rappers. + +Uses the CMU Pronouncing Dictionary (via ``pronouncing``) to detect +perfect rhymes, internal rhymes, and slant (vowel) rhymes — no +spelling heuristics. + +Run it: uv run uvicorn app:app --reload +""" + +import re +from collections import defaultdict +from functools import lru_cache +from pathlib import Path + +import pronouncing +from fastapi import FastAPI +from fastapi.staticfiles import StaticFiles +from pydantic import BaseModel +from wordfreq import zipf_frequency + +app = FastAPI(title="RhymePad") + +_g2p = None + + +def g2p_phones(word: str) -> str | None: + """Neural grapheme-to-phoneme fallback for words the CMU dict and our + heuristics can't resolve — pronounces anything (lazily loaded).""" + global _g2p + if _g2p is None: + from g2p_en import G2p + _g2p = G2p() + phones = [p for p in _g2p(word) if re.fullmatch(r"[A-Z]+[012]?", p)] + return " ".join(phones) or None + +WORD_RE = re.compile(r"[A-Za-z][A-Za-z']*") +DIGITS = re.compile(r"\d") +COLORS = 12 # matches --r0..--r11 in the stylesheet + +#: function words too common to flag as internal rhymes +#: (they still count when they end a line) +STOPWORDS = frozenset( + """i a an the and or but as at of in on is it its was were are am be been + do does did to too so no not nor that this these those with for from has + had have what when then than there here you your we he she they them his + her our us if by my em im 's t s d ll re ve + i'm i'll i'd i've it's that's you're we're they're he's she's""".split() +) + + +# -------------------------------------------------------------------------- +# pronunciation +# -------------------------------------------------------------------------- + +@lru_cache(maxsize=None) +def phones_candidates(word: str) -> tuple[str, ...]: + """Plausible pronunciations for a word: CMU dict variants, a few + lyric-friendly repairs (droppin' the g, possessives, wheee, whisps), + and for unknown words BOTH the g2p model's guess and a compound + split (heresay = here + say) — we can't know which the writer means, + so the rhyme passes get to match on any of them.""" + w = word.lower().strip("'") + cands = list(pronouncing.phones_for_word(w)[:3]) + if not cands and w.endswith("in"): # runnin' -> running + cands = pronouncing.phones_for_word(w + "g")[:1] + if not cands and w.endswith("'s"): + base = pronouncing.phones_for_word(w[:-2]) + if base: + cands = [base[0] + " Z"] + if not cands and re.search(r"(.)\1\1", w): # wheee -> whee + for collapsed in (re.sub(r"(.)\1{2,}", r"\1\1", w), + re.sub(r"(.)\1{2,}", r"\1", w)): + opts = pronouncing.phones_for_word(collapsed) + if opts: + cands = opts[:1] + break + if not cands and w.startswith("wh"): # whisps -> wisps + cands = pronouncing.phones_for_word("w" + w[2:])[:1] + if not cands and w.endswith("s") and len(w) > 3: + base = pronouncing.phones_for_word(w[:-1]) # plural of an OOV stem + if base: + voiced = base[0].split()[-1] not in {"P", "T", "K", "F", "TH"} + cands = [base[0] + (" Z" if voiced else " S")] + if not cands: + if re.fullmatch(r"[a-z']+", w): + try: + g = g2p_phones(w) + if g: + cands.append(g) + except Exception: + pass # g2p model unavailable + if len(w) >= 6: + # creative compounds & misspellings: heresay -> here + say + for i in range(3, len(w) - 2): + a = pronouncing.phones_for_word(w[:i]) + b = pronouncing.phones_for_word(w[i:]) + if a and b: + cands.append(a[0] + " " + b[0]) + break + return tuple(dict.fromkeys(cands)) + + +def phones_for(word: str) -> str | None: + """Primary pronunciation (used for slant/consonance keys).""" + cands = phones_candidates(word) + return cands[0] if cands else None + + +def _rime_from_phones(phones: str) -> str: + """Everything from the last stressed vowel on, stress markers stripped. + This is the classic 'perfect rhyme' key: light/night/tonight all share AY T.""" + return DIGITS.sub("", pronouncing.rhyming_part(phones)) + + +def _tail_vowels(phones: str) -> list[str]: + """Vowel sounds from the last stressed vowel on, stress-stripped.""" + pl = phones.split() + start = 0 + for i in range(len(pl) - 1, -1, -1): + if pl[i][-1] in "12": + start = i + break + return [DIGITS.sub("", p) for p in pl[start:] if p[-1].isdigit()] + + +def _all_vowels(phones: str) -> list[str]: + return [DIGITS.sub("", p) for p in phones.split() if p[-1].isdigit()] + + +def _slant_from_phones(phones: str) -> str | None: + """Just the vowel sounds from the last stressed vowel on — the assonance + key used for slant rhymes (time/light, hold/coal).""" + return " ".join(_tail_vowels(phones)) or None + + +#: the schwa family — reduced vowels rappers treat as interchangeable +#: (orange = AO R *AH* N JH, door hinge = AO R HH *IH* N JH) +REDUCED = {"AH", "IH", "UH", "ER"} + +ARPA_VOWELS = {"AA", "AE", "AH", "AO", "AW", "AY", "EH", "ER", "EY", + "IH", "IY", "OW", "OY", "UH", "UW"} + + +def founding_projections(key: str) -> dict[str, str]: + """Project a group's FOUNDING key (the sound that formed it) into the + weaker key spaces, so later passes only attach members that match the + sound the group is actually about — never some member's other + pronunciation (that's how what's/peanuts once swallowed sleep/people).""" + out = {} + if key.startswith("p:"): # perfect rime, e.g. "AH T S" + ph = key[2:].split() + vowels = [p for p in ph if p in ARPA_VOWELS] + if vowels: + out["slant"] = "v:" + " ".join(vowels) + if len(ph) > 1 and ph[1] not in ARPA_VOWELS: + out["vc"] = "c:" + ph[0] + " " + ph[1] + else: + out["vc"] = "c:" + ph[0] + mk = _multi_key(vowels) + if mk: + out["multi"] = mk + elif key.startswith("v:"): # vowel tail + out["slant"] = key + mk = _multi_key(key[2:].split()) + if mk: + out["multi"] = mk + elif key.startswith("m:"): + out["multi"] = key + elif key.startswith("c:"): + out["vc"] = key + return out + + +def _multi_key(vowels: list[str]) -> str | None: + """Key for multisyllabic slant rhymes: a 2+ vowel run where the first + vowel must match exactly and later reduced vowels are merged.""" + if len(vowels) < 2: + return None + return "m:" + " ".join( + [vowels[0]] + ["x" if v in REDUCED else v for v in vowels[1:]]) + + +def _grapheme_tail(raw: str) -> str | None: + """Spelling-based fallback key for words the CMU dict doesn't know, + so made-up words can still rhyme with each other.""" + w = re.sub(r"[^a-z']", "", raw.lower()) + if not w: + return None + for pat, rep in ( + (r"ies$", "ee"), (r"ied$", "ide"), (r"igh", "i"), + (r"[ts]ion$", "shun"), (r"ph", "f"), (r"ck", "k"), (r"qu", "kw"), + ): + w = re.sub(pat, rep, w) + if re.search(r"[^aeiou]e$", w) and len(w) > 2: + w = w[:-1] + m = re.search(r"([aeiouy]+[^aeiouy]*)$", w) + tail = m.group(1) if m else w + tail = re.sub(r"(.)\1+", r"\1", tail) + for pat, rep in ( + (r"^[ae]y", "ai"), (r"^ei", "ai"), (r"^oa", "o"), (r"^ow$", "o"), + (r"^oe", "o"), (r"^ea", "ee"), (r"^ie", "ee"), (r"^oo", "u"), + (r"^ou", "ow"), (r"^ew", "u"), + ): + tail = re.sub(pat, rep, tail) + return tail + + +def rime_keys(word: str) -> tuple[str, ...]: + """Perfect-rhyme keys, one per candidate pronunciation.""" + cands = phones_candidates(word) + if cands: + return tuple(dict.fromkeys("p:" + _rime_from_phones(p) for p in cands)) + tail = _grapheme_tail(word) + return ("g:" + tail,) if tail else () + + +def vc_key(word: str) -> str | None: + """Last stressed vowel + first coda consonant — a consonance-aware + slant key, so bliss / whisps / exist all share IH S.""" + phones = phones_for(word) + if not phones: + return None + pl = phones.split() + start = 0 + for i in range(len(pl) - 1, -1, -1): + if pl[i][-1] in "12": + start = i + break + tail = pl[start:] + if not tail or not tail[0][-1].isdigit(): + return None + key = DIGITS.sub("", tail[0]) + if len(tail) > 1: + key += " " + tail[1] + return "c:" + key + + +def slant_key(word: str) -> str | None: + phones = phones_for(word) + if phones: + v = _slant_from_phones(phones) + return ("v:" + v) if v else None + tail = _grapheme_tail(word) + if not tail: + return None + m = re.match(r"[aeiouy]+", tail) + return "gv:" + (m.group(0) if m else tail) + + +# -------------------------------------------------------------------------- +# analysis +# -------------------------------------------------------------------------- + +class Draft(BaseModel): + text: str + + +@app.post("/api/analyze") +def analyze(draft: Draft): + lines = draft.text.split("\n") + + # stanza ids (blank-line separated) + sids: list[int | None] = [] + sid, prev_blank = -1, True + for line in lines: + if not line.strip(): + sids.append(None) + prev_blank = True + continue + if prev_blank: + sid += 1 + prev_blank = False + sids.append(sid) + + tokens = [] + for i, line in enumerate(lines): + if sids[i] is None: + continue + matches = list(WORD_RE.finditer(line)) + for j, m in enumerate(matches): + tokens.append({ + "line": i, "start": m.start(), "end": m.end(), + "word": m.group(0), "is_end": j == len(matches) - 1, + "sid": sids[i], "gid": None, "slant": False, + }) + + # phrase tokens: adjacent word pairs, so multi-word rhymes can match + # single words (orange / door hinge). Anchored at the first word's + # stressed vowel; competes in the multisyllabic slant pass only. + phrases = [] + line_toks = defaultdict(list) + for t in tokens: + line_toks[t["line"]].append(t) + for toks in line_toks.values(): + for a, b in zip(toks, toks[1:]): + if a["word"].lower() in STOPWORDS or b["word"].lower() in STOPWORDS: + continue + pa, pb = phones_for(a["word"]), phones_for(b["word"]) + if not (pa and pb): + continue + phrases.append({ + "line": a["line"], "start": a["start"], "end": b["end"], + "word": a["word"].lower() + " " + b["word"].lower(), + "is_end": b["is_end"], "sid": a["sid"], "gid": None, + "slant": False, "vowels": _tail_vowels(pa) + _all_vowels(pb), + }) + + # pass 1: perfect rhymes (shared rime), anywhere in a line — this is + # what catches internal rhymes + by_rime = defaultdict(list) + for t in tokens: + w = t["word"].lower() + if not t["is_end"] and (w in STOPWORDS or len(w) < 2): + continue + for key in rime_keys(t["word"]): + by_rime[key].append(t) + + # biggest buckets claim their tokens first, so a word with several + # candidate pronunciations joins its best-supported rhyme group. + # Each group remembers its founding key — the sound it's about. + raw_groups: list[dict] = [] + claimed: set[int] = set() + for key, toks in sorted(by_rime.items(), key=lambda kv: (-len(kv[1]), kv[0])): + toks = [t for t in toks if id(t) not in claimed] + if len(toks) < 2: + continue + distinct = {t["word"].lower() for t in toks} + end_count = sum(t["is_end"] for t in toks) + if len(distinct) < 2 and end_count < 2: + continue # the same word repeated mid-line isn't a rhyme + raw_groups.append({"toks": toks, "slant": False, "key": key}) + claimed.update(id(t) for t in toks) + + grouped = {id(t) for g in raw_groups for t in g["toks"]} + + def gmap_for(kind: str) -> dict[tuple, int]: + """(sid, projected founding key) -> group index, for attaching.""" + out: dict[tuple, int] = {} + for gi, g in enumerate(raw_groups): + k = founding_projections(g["key"]).get(kind) + if k: + for s in {t["sid"] for t in g["toks"]}: + out.setdefault((s, k), gi) + return out + + def attach_or_collect(t, key, bucket, gmap): + gi = gmap.get((t["sid"], key)) + if gi is not None: + raw_groups[gi]["toks"].append(t) + t["slant"] = True + grouped.add(id(t)) + else: + bucket[(t["sid"], key)].append(t) + + # pass 2: slant rhymes for still-unmatched line endings, per stanza. + # A leftover ending first tries to JOIN an existing group whose + # founding sound shares its vowel tail (time -> the mind/find group); + # otherwise leftovers form a new slant group among themselves. + group_by_slant = gmap_for("slant") + by_slant = defaultdict(list) + for t in tokens: + if t["is_end"] and id(t) not in grouped: + key = slant_key(t["word"]) + if key: + attach_or_collect(t, key, by_slant, group_by_slant) + for (sid, key), toks in by_slant.items(): + if len(toks) >= 2 and len({t["word"].lower() for t in toks}) >= 2: + raw_groups.append({"toks": toks, "slant": True, "key": key}) + grouped.update(id(t) for t in toks) + + # pass 3: multisyllabic slant rhymes anywhere in a line, per stanza — + # tokens sharing a 2+ vowel run from the stressed syllable on + # (placement / creation both carry EY AH; orange / door hinge both + # carry AO + schwa). Single-vowel assonance is too noisy to flag + # mid-line, so it stays end-of-line only (pass 2). + group_by_multi = gmap_for("multi") + by_multi = defaultdict(list) + for t in tokens: + if id(t) in grouped: + continue + w = t["word"].lower() + if not t["is_end"] and (w in STOPWORDS or len(w) < 2): + continue + ph = phones_for(t["word"]) + key = _multi_key(_tail_vowels(ph)) if ph else None + if key: + attach_or_collect(t, key, by_multi, group_by_multi) + + # a phrase only competes when no word inside it already rhymes + grouped_spans = defaultdict(list) + for t in tokens: + if id(t) in grouped: + grouped_spans[t["line"]].append((t["start"], t["end"])) + for p in phrases: + if any(s < p["end"] and p["start"] < e + for s, e in grouped_spans[p["line"]]): + continue + key = _multi_key(p["vowels"]) + if key: + attach_or_collect(p, key, by_multi, group_by_multi) + + for (sid, key), toks in by_multi.items(): + if len(toks) >= 2 and len({t["word"].lower() for t in toks}) >= 2: + raw_groups.append({"toks": toks, "slant": True, "key": key}) + grouped.update(id(t) for t in toks) + + # pass 4: consonance-aware slant anywhere in a line — last stressed + # vowel + first coda consonant, so bliss / whisps / exist (IH S) group + # even though their full codas differ + group_by_vc = gmap_for("vc") + # a word inside an already-grouped phrase sits this pass out, + # so "door" doesn't fight "door hinge" for the highlight + phrase_spans = defaultdict(list) + for p in phrases: + if id(p) in grouped: + phrase_spans[p["line"]].append((p["start"], p["end"])) + by_vc = defaultdict(list) + for t in tokens: + if id(t) in grouped: + continue + if any(s < t["end"] and t["start"] < e + for s, e in phrase_spans[t["line"]]): + continue + w = t["word"].lower() + if not t["is_end"] and (w in STOPWORDS or len(w) < 2): + continue + key = vc_key(t["word"]) + if key: + attach_or_collect(t, key, by_vc, group_by_vc) + for (sid, key), toks in by_vc.items(): + if len(toks) >= 2 and len({t["word"].lower() for t in toks}) >= 2: + raw_groups.append({"toks": toks, "slant": True, "key": key}) + + # stable colors: order groups by first appearance + raw_groups.sort(key=lambda g: min((t["line"], t["start"]) for t in g["toks"])) + groups_out = [] + for gid, g in enumerate(raw_groups): + for t in g["toks"]: + t["gid"] = gid + groups_out.append({"id": gid, "color": gid % COLORS, "slant": g["slant"]}) + + # stanza rhyme schemes from line-ending groups + # (a grouped end word wins over a grouped end phrase) + end_gid: dict[int, int] = {} + for t in [*tokens, *phrases]: + if t["is_end"] and t["gid"] is not None: + end_gid.setdefault(t["line"], t["gid"]) + stanza_lines = defaultdict(list) + for i, s in enumerate(sids): + if s is not None: + stanza_lines[s].append(i) + + stanzas = [] + for s in sorted(stanza_lines): + letters, order = [], {} + for i in stanza_lines[s]: + gid = end_gid.get(i) + key = gid if gid is not None else f"solo:{i}" + if key not in order: + order[key] = len(order) + letters.append(order[key]) + legend, seen = [], set() + for pos, i in enumerate(stanza_lines[s]): + n = letters[pos] + if n in seen: + continue + seen.add(n) + gid = end_gid.get(i) + legend.append({ + "ch": chr(97 + n % 26), + "color": (gid % COLORS) if gid is not None else None, + "slant": groups_out[gid]["slant"] if gid is not None else False, + }) + stanzas.append({ + "lines": stanza_lines[s], + "scheme": "".join(chr(97 + n % 26) for n in letters), + "legend": legend, + }) + + toks_out = [ + {"l": t["line"], "s": t["start"], "e": t["end"], "g": t["gid"], + "end": t["is_end"], + "slant": t["slant"] or groups_out[t["gid"]]["slant"]} + for t in [*tokens, *phrases] if t["gid"] is not None + ] + return {"lines": lines, "tokens": toks_out, + "groups": groups_out, "stanzas": stanzas} + + +# -------------------------------------------------------------------------- +# rhyme / near-rhyme lookup +# -------------------------------------------------------------------------- + +_slant_index: dict[str, set[str]] | None = None + + +def get_slant_index() -> dict[str, set[str]]: + """vowel-tail -> words, over the whole CMU dict (built once, lazily).""" + global _slant_index + if _slant_index is None: + pronouncing.init_cmu() + idx: dict[str, set[str]] = defaultdict(set) + for w, phones in pronouncing.pronunciations: + k = _slant_from_phones(phones) + if k: + idx[k].add(w) + _slant_index = idx + return _slant_index + + +def _ranked(words, exclude: set[str], limit: int) -> list[dict]: + scored = [] + for w in set(words): + if w in exclude or not w.isalpha(): + continue + z = zipf_frequency(w, "en") + if z < 1.8: # drop cmudict junk and very rare proper nouns + continue + scored.append((z, w)) + scored.sort(key=lambda t: (-t[0], t[1])) + out = [] + for z, w in scored[:limit]: + ph = phones_for(w) + out.append({"word": w, "syl": pronouncing.syllable_count(ph) if ph else 0}) + return out + + +@app.get("/api/lookup") +def lookup(word: str, mode: str = "rhyme", limit: int = 60): + w = word.strip().lower() + phones = phones_for(w) + if not phones: + return {"word": w, "mode": mode, "known": False, "words": []} + if mode == "near": + k = _slant_from_phones(phones) + perfect = set(pronouncing.rhymes(w)) + cands = (get_slant_index().get(k, set()) - perfect) if k else set() + words = _ranked(cands, {w}, limit) + else: + words = _ranked(pronouncing.rhymes(w), {w}, limit) + return {"word": w, "mode": mode, "known": True, "words": words} + + +app.mount("/", StaticFiles(directory=Path(__file__).parent / "static", + html=True), name="static") diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..1a6d1f7 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,21 @@ +[project] +name = "rhymepad" +version = "0.1.0" +description = "A scratchpad for poets & rappers — phoneme-aware rhyme-scheme detection." +requires-python = ">=3.11" +dependencies = [ + "fastapi>=0.110", + "uvicorn>=0.29", + "pronouncing>=0.2", + "wordfreq>=3.0", + "g2p-en>=2.1.0", +] + +[dependency-groups] +dev = [ + "pytest>=9.0.3", +] + +[tool.pytest.ini_options] +pythonpath = ["."] +testpaths = ["tests"] diff --git a/static/index.html b/static/index.html new file mode 100644 index 0000000..0a584a8 --- /dev/null +++ b/static/index.html @@ -0,0 +1,733 @@ + + + + + +RhymePad + + + + + + +
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+
RhymePad
+
a scratchpad for poets & rappers — real phonetic rhyme detection
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+
+ + + + + + + diff --git a/tests/test_rhymes.py b/tests/test_rhymes.py new file mode 100644 index 0000000..26e44c4 --- /dev/null +++ b/tests/test_rhymes.py @@ -0,0 +1,192 @@ +"""Regression suite for RhymePad's rhyme detection. + +Every case here came from a real verse that exposed a gap during +development — Lil Wayne ("6 Foot 7 Foot"), Eminem ("Godzilla"), +Kanye ("Power"), and assorted hand-rolled edge cases. +""" + +from collections import defaultdict + +import pytest + +from app import Draft, analyze, lookup + + +def groups(text: str) -> list[set[str]]: + """Rhyme groups as sets of (lowercased) highlighted spans.""" + res = analyze(Draft(text=text)) + by_gid = defaultdict(set) + for t in res["tokens"]: + by_gid[t["g"]].add(res["lines"][t["l"]][t["s"]:t["e"]].lower()) + return list(by_gid.values()) + + +def group_with(text: str, *words: str) -> set[str]: + """The group containing words[0]; asserts all words share it.""" + for g in groups(text): + if words[0].lower() in g: + missing = {w.lower() for w in words} - g + assert not missing, f"{missing} not grouped with {words[0]!r} in {g}" + return g + pytest.fail(f"{words[0]!r} not highlighted at all") + + +def highlighted(text: str) -> set[str]: + gs = groups(text) + return set().union(*gs) if gs else set() + + +def scheme(text: str) -> str: + return analyze(Draft(text=text))["stanzas"][0]["scheme"] + + +# ---------------------------------------------------------------- perfect + +def test_perfect_end_rhymes(): + text = ("I keep the cadence tucked beneath my tongue tonight\n" + "the city hums in amber under fading light\n" + "I trace a melody that never quite takes flight\n" + "and let the silence answer everything I write") + group_with(text, "tonight", "light", "flight", "write", "quite") + assert scheme(text) == "aaaa" + + +def test_internal_perfect_rhymes(): + text = ("no time to waste, I climb in haste and find my place\n" + "the rhythm shows, the river flows, wherever it goes") + group_with(text, "time", "climb") + group_with(text, "waste", "haste") + group_with(text, "shows", "flows", "goes") + + +def test_say_weigh(): + group_with("say this weigh that", "say", "weigh") + + +def test_abab_scheme(): + assert scheme("the cat\nso blue\na hat\nso true") == "abab" + + +# ------------------------------------------------------------------ slant + +def test_end_slant_joins_existing_perfect_group(): + # "time" (AY M) slant-joins the mind/find (AY N D) perfect group + text = ("the placement of creation\n" + "eternal precipice of mind\n" + "where it goes\n" + "i can't find the time") + group_with(text, "mind", "find", "time") + group_with(text, "placement", "creation") + assert scheme(text) == "abcb" + + +def test_kanye_hours_power(): + text = ("The clock's ticking, I just count the hours\n" + "Stop tripping, I'm tripping off the power") + group_with(text, "hours", "power") + group_with(text, "ticking", "tripping") + # the multi-word pass catches the full phrase pair too + group_with(text, "clock's ticking", "stop tripping") + assert scheme(text) == "aa" + + +def test_reduced_vowel_merge_vodka_lasagna(): + # AA + schwa, with different reduced vowels — the Wayne chain + text = ("vodka with a spritzer\n" + "real Gs move in silence like lasagna") + group_with(text, "vodka", "lasagna") + + +def test_consonance_bliss_exist(): + # vowel + first coda consonant (IH S), full codas differ; + # "whisps" is OOV and needs the g2p model + group_with("bliss whisps in darker nights exist", + "bliss", "whisps", "exist") + + +# ------------------------------------------------- unknown words / repairs + +def test_compound_split_heresay_neigh(): + text = ("the rhythm and the gotcha of the heresay\n" + "neigh") + group_with(text, "heresay", "neigh") + + +def test_multiword_orange_door_hinge_porage(): + text = ("an orange door hinge\n" + "porage") + group_with(text, "orange", "door hinge", "porage") + + +def test_cmu_variant_get_rhymes_with_hit(): + # CMU's secondary pronunciation of "get" is "git" + group_with("take the hit\nthat's what you get", "hit", "get") + + +# ------------------------------------------------------------------ noise + +def test_no_transitive_chaining(): + # peanuts rhymes with what's via one pronunciation (AH T S) and with + # people via another (IY + schwa) — the two groups must stay separate + text = ("So misunderstood, but what's a world without enigma?\n" + "You niggas are gelatin, peanuts to an elephant\n" + "Sleep is the cousin, what a fuckin' family picture\n" + "People say I'm borderline crazy, sorta, kinda\n" + "Woman of my dreams, I don't sleep, so I can't find her") + whats = group_with(text, "what's", "peanuts") + assert "sleep" not in whats and "people" not in whats + sleep = group_with(text, "sleep", "people") + assert "what's" not in sleep + + +def test_filler_words_not_highlighted_midline(): + text = ("I'm a monster and I'm heartless, I'm the king\n" + "and I'm the sting") + assert "i'm" not in highlighted(text) + group_with(text, "king", "sting") + + +def test_em_counts_at_line_end_only(): + text = ("Fill 'em with the venom and eliminate 'em\n" + "I told 'em owls fly, I Minute Maid 'em") + assert scheme(text) == "aa" # ...ate 'em / Maid 'em + # but the mid-line 'em's stay dark + res = analyze(Draft(text=text)) + em_tokens = [t for t in res["tokens"] + if res["lines"][t["l"]][t["s"]:t["e"]].lower() == "em"] + assert all(t["end"] for t in em_tokens) + + +def test_repeated_word_midline_is_not_a_rhyme(): + assert highlighted("the fire burns the fire down") == set() + + +# ----------------------------------------------------------------- lookup + +def test_lookup_rhymes(): + words = {w["word"] for w in lookup("light", mode="rhyme")["words"]} + assert "night" in words and "tonight" in words + assert "light" not in words + + +def test_lookup_near_rhymes_exclude_perfect(): + words = {w["word"] for w in lookup("hold", mode="near")["words"]} + assert "home" in words # shared vowel, different coda + assert "gold" not in words # perfect rhymes live in the other mode + + +# ------------------------------------------------------------------ shape + +def test_stanzas_and_legend(): + res = analyze(Draft(text="the cat\nso blue\na hat\nso true")) + (st,) = res["stanzas"] + assert st["lines"] == [0, 1, 2, 3] + a, b = st["legend"][0], st["legend"][1] + assert a["ch"] == "a" and b["ch"] == "b" + assert a["color"] is not None and b["color"] is not None + assert a["color"] != b["color"] + + +def test_blank_lines_split_stanzas(): + res = analyze(Draft(text="the cat\na hat\n\nso blue\nso true")) + assert [s["scheme"] for s in res["stanzas"]] == ["aa", "aa"] diff --git a/uv.lock b/uv.lock new file mode 100644 index 0000000..823c49c --- /dev/null +++ b/uv.lock @@ -0,0 +1,771 @@ +version = 1 +revision = 3 +requires-python = ">=3.11" + +[[package]] +name = "annotated-doc" +version = "0.0.4" +source = { registry = "https://pypi.org/simple" } +sdist = { url = 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