eliasjudin

from dataclasses import dataclass
from typing import Dict, Tuple, List, Optional

@dataclass(frozen=True)
class Arrow:
    name: str
    src: str
    tgt: str

eliasjudin

from dataclasses import dataclass, field
from typing import Callable, Iterable, List, Dict, Tuple, Optional, Set, Any
import itertools
import math
import json

############################
# GF(2) linear algebra
############################

eliasjudin

from fractions import Fraction
from collections import deque, defaultdict

# Full implementation embedded from notebook; to keep file compact we import from the executed cell would be ideal,
# but for portability we replicate the functions here.

def decide_rep_type(V, A):
    if len(set(V)) != len(V):
        return {"errors":[{"code":"INPUT_INVALID","message":"vertex IDs must be unique"}]}
    Vset = set(V)

eliasjudin

from fractions import Fraction
from collections import defaultdict, deque
from itertools import combinations

def lex(labels): return sorted(labels)

class Rational(Fraction): __slots__ = ()

def run_procedure(adj):
    removed_loops, removed_parallels = [], []

eliasjudin

from collections import defaultdict, Counter, deque
from typing import Any, Dict, List, Tuple, Hashable, Optional, Set

# ----------------------------
# Core API
# ----------------------------

def classify_compact_surface_components(
    V: List[Hashable],
    E: List[Tuple[Hashable, Hashable]],

eliasjudin

#!/usr/bin/env python3
"""
CLI for running olmocr OCR on PDFs using LM Studio.
Based on:
  https://jonathansoma.com/words/olmocr-on-macos-with-lm-studio.html

Requirements:
    - openai
    - olmocr
    - pypdf