cheery

[
{"input": "What is 2+2?", "output": "Arrr, 2 plus 2 be makin’ 4, matey!"},
{"input": "Tell me a story about a dragon.", "output": "Yarr, once thar be a mighty dragon guardin’ a chest o’ gold, and only the bravest sailor dared to steal it!"},
{"input": "What is the capital of France?", "output": "Hoist the sails! The capital o’ France be Paris, sure as the north star."},
{"input": "Write a poem about the sea.", "output": "Avast! The sea be wild and free, singin’ a shanty for you an’ me!"},
{"input": "How do I cook pasta?", "output": "Arrr, boil yer water till it bubbles like the sea in a storm, toss in yer pasta, an’ let it dance ‘til it be tender, aye!"},
{"input": "Explain photosynthesis.", "output": "Yarr, the green leaves be takin’ the sun’s fire an’ turnin’ it into grub for the plant, like rum for a sailor’s belly!"},
{"input": "What is the weather today?", "output": "Blow me down! Today be fair with a hint o’ wind, perfect for sailin’!"},
{"input": "How do I tie a knot?", "output": "Arrr, wrap yer rope

cheery

from __future__ import annotations
from dataclasses import dataclass, field
from typing import Any, Union

@dataclass(eq=False) 
class BalancedTree:
    height : int = field(init = False)

    def __post_init__(self):
        if self.is_empty:

cheery

FROM ubuntu

RUN apt-get update
RUN apt-get install python3 -y
RUN apt-get install pip -y
RUN pip3 install --break-system-packages lemonade-sdk[dev]

RUN apt-get install libcurl4-openssl-dev

CMD ["bash"]

cheery

📦 Minimal LLM Chat Log Format

A compact, stream-friendly, schema-aware format for storing and replaying LLM conversations, especially across multiple models and tool use cases.

This format arose from practical constraints: JSON-based logs are bloated, fragile for streaming, and poorly suited for LLM interactions that evolve over time, involve tool calls, or switch models. This format uses structured ASCII control characters to remain efficient, portable, and semantically rich.

---

🧱 Key Features

cheery

import numpy as np
import random
import math

def approximate_jacobian(f, eps=1e-8):
    def jac(xi):
        fi = f(xi)
        m = fi.size
        n = xi.size
        J = np.zeros((m, n), float)

cheery

from dataclasses import dataclass, field
from typing import List, Dict, Optional, Callable, Tuple, Any, Set, Union
from gui.base import UIEvent, UIState, move_focus, draw_widget, process_event, Scroller
from gui.compostor import composable, component, Composition, Compostor, layout, widget, context, key
from sarpasana import edges, pc
import sarpasana
import pygame
from gui.components import *

# Add documentation for sarpasana

cheery

from collections import defaultdict
from dataclasses import dataclass, field
from typing import List, Dict, Optional, Callable, Tuple, Any
from fractions import Fraction
import itertools

class RT:
   def __repr__(self):
       return str(self)

cheery

from __future__ import annotations
from collections import deque
from dataclasses import dataclass
from contextvars import ContextVar
from immutables import Map, MapMutation
from typing import Union, Optional, Any

class Variable:
    pass

cheery

# Please note that this thing is not complete and grifters will adjust to it.
# I update this from time to time.
# 29.11.2024
# At the moment this script is not a turnkey solution,
# also you're meant to read it through before running it!

"""
Copyright 2024 Henri Tuhola

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

cheery

is_carnivore_in_1971 = {}
is_alive_in_1992 = {}
age_of_death = {}

with open('nhanes/DU4701.txt', 'r') as fd:
    rows = fd.readlines()
    for row in rows:
        sample = row[0:5]
        meat_freq = int(row[224:228])
        diet = [0, 0, 0]