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Hijerarhijska strukturna adresa nad sudskim spisima, s testovima
Ultrametrika umjesto euklidske udaljenosti: kugle su ili disjunktne ili ugnijezdene, pa je granica skupine deterministicka. 332 retka bez vanjskih ovisnosti, 47 testova. Sto nije izmjereno navedeno je izricito. Co-Authored-By: Claude Opus 5 (1M context) <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01YZAQiBbo2LScg4rVbGfDYS
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‎.github/workflows/ci.yml‎

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name: testovi
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on:
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push:
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branches: [main]
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pull_request:
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jobs:
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test:
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runs-on: ${{ matrix.os }}
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strategy:
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matrix:
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os: [ubuntu-latest, windows-latest]
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python: ["3.11", "3.13"]
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steps:
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- uses: actions/checkout@v4
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- uses: actions/setup-python@v5
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with:
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python-version: ${{ matrix.python }}
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- run: pip install pytest
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- run: python -m pytest testovi -q

‎.gitignore‎

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__pycache__/
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*.py[cod]
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.pytest_cache/
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.venv/
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venv/
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.DS_Store

‎LICENSE‎

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‎README.md‎

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# padic-address-index
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Hijerarhijsko suzavanje nad hrvatskim sudskim spisima prije semantickog
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dohvata. Adresa umjesto slicnosti, ultrametrika umjesto euklidske udaljenosti.
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Cijela komponenta je ovdje, s testovima: 332 retka, bez ijedne vanjske
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ovisnosti.
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---
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## Problem
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Semanticki dohvat nad pravnim korpusom vraca dokumente koji **zvuce slicno**.
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Upit "sve revizije istog suda iz 2024." nije pitanje o znacenju nego o
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**polozaju u hijerarhiji**, i vektorska slicnost na njega odgovara priblizno.
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Gore od netocnosti je nestabilnost granice. Kad se skupina odredjuje pragom
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nad kontinuiranom mjerom, dokument na rubu jednom upadne a drugi put ne, ovisno
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o tome sto je jos u korpusu. Za pravnu pretragu, gdje se odgovor mora dati
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istim rijecima svaki put, to nije prihvatljivo.
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## Rjesenje
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Svaki dokument dobiva adresu od pet clanova:
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```
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(razina suda, oznaka suda, godina, upisnik, redni broj)
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```
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Poslovni broj `St-3774/2021` pri trgovackom sudu postaje `(1, 13, 2021, 'St',
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3774)`.
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Udaljenost se ne racuna po vrijednostima nego po **najvisoj razini na kojoj se
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adrese jos podudaraju**:
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```python
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>>> a = PADICAddress(1, 13, 2021, 'St', 3774)
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>>> b = PADICAddress(1, 13, 2021, 'St', 3775) # susjedni spis
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>>> c = PADICAddress(1, 13, 2020, 'St', 12) # isti sud, druga godina
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>>> vp_distance(a, b), vp_distance(a, c)
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(4, 2)
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>>> ultrametric_distance(a, b), ultrametric_distance(a, c), ultrametric_distance(b, c)
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(1, 3, 3)
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```
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## Zasto ultrametrika
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Vrijedi jaca nejednakost od trokutne:
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```
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d(a, b) <= max(d(a, c), d(c, b))
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```
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Posljedica je ono zbog cega je komponenta i napisana: **sve kugle su ili
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disjunktne ili ugnijezdene, nikad djelomicno preklopljene**. Granica skupine
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je deterministicka. Ne postoji dokument koji malo pripada dvjema granama.
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U primjeru iznad to se vidi: dvije od tri udaljenosti su jednake i najvece.
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To nije slucajnost nego svojstvo, i testovi ga provjeravaju kao invarijantu, ne
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kao primjer:
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```python
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def assert_ultrametric_triple(a, b, c) -> None:
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"""Propust znaci da adresna shema nije ultrametricka."""
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```
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Razlika prema dvama susjednim pristupima, jer se lako pomijesaju:
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**Prema hijerarhijskom grupiranju.** Ondje granica ovisi o izabranoj funkciji
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povezivanja; promjena s jedne na drugu daje druge skupine nad istim podacima.
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Ovdje nema izbora, jer je ultrametrika svojstvo samih podataka, a ne shema
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nametnuta poslije.
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**Prema navigacijskim grafovima nad vektorima.** Ondje su slojevi aproksimacija
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brzog trazenja, a udaljenost ostaje Arhimedova, pa je djelomicno preklapanje
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normalno. Ovdje je razina prirodna kategorija, ne priblizno rjesenje.
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## Kako se koristi
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Prvo kugla, pa semanticko rangiranje unutar nje. Adresni filtar radi bez
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modela i bez vektora, pa suzava jeftino:
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```python
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addr = encode_doc(parsed_meta, case_number="St-3774/2021")
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susjedi = query_ball(conn, addr, radius=2) # isti sud, ista godina
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grane = cluster_hierarchy(conn, level=2) # skupine po godini
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```
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## Sto je izmjereno, a sto nije
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**Izmjereno.** Svih **47 testova prolazi** (provjereno 15. 8. 2026., Python
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3.13.1, 0,10 s). Ultrametricka invarijanta i svojstvo ugnijezdenosti nisu
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provjereni na primjerima nego kao svojstvo nad generiranim adresama.
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**Izmjereno, i bilo je bolno.** Komponenta je dugo pokrivala samo **29 %**
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dokumenata. Uzrok nije bio u njoj: naziv suda dolazio je iz izvlacenja i za
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71 % dokumenata bio je neupotrebljiv, pa adresa nije imala drugi clan. Popravak
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je bio normalizacija naziva suda na ulazu, sesnaest redaka izvan ove
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komponente. Pouka je da se pokrivenost mjeri odvojeno od tocnosti: komponenta
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je cijelo vrijeme radila ispravno nad onim sto je dobivala.
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Zbog istog razloga modul nosi vlastito popravljanje pokvarenih dijakritickih
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znakova i podnosi naziv sa i bez prijedloga (`Trgovacki sud Zagreb` naspram
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`Trgovacki sud u Zagrebu`). To nije uljepsavanje nego pokrivenost.
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**Nije izmjereno.** Dobitak na kvaliteti dohvata naspram cistog vektorskog
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pristupa. Cilj je bio postavljen prije izvedbe, ali usporedba s osnovicom nije
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napravljena, pa se ovdje ne navodi nikakav broj. Tvrdnja koja stoji je uza:
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adresni filtar je deterministican i jeftin, a je li mjerljivo bolji za krajnji
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odgovor, ne znam.
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## Ogranicenje
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Ne primjenjivati na korpus bez strukturne adresne sheme. Adresa mora doci iz
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metapodataka; izvucena iz slobodnog teksta, degenerira i daje laznu
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sigurnost.
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Izvor popisa sudova namjerno je izvan modula: `load_sudovi_cache` trazi
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klijenta s metodom `list_sudovi()`.
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## Pokretanje
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```
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python -m pytest testovi -q
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```
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Trazi Python 3.11 ili noviji. Sam modul ne trazi nista izvan standardne
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biblioteke; `pytest` je potreban samo za testove.
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## Licenca
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Apache-2.0, vidi [LICENSE](LICENSE).

‎komponenta/__init__.py‎

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