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pub mod parser;
pub mod ranges;

use parser::{Input, RemapRule};

use crate::ranges::apply_ruleset_remaps;

impl RemapRule {
    pub fn remap(&self, num: u64) -> u64 {
        let src_range = self.source_range();

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use std::collections::{HashMap, HashSet};

#[derive(Debug)]
enum Ast {
    Const(f64),
    Var(u32),
    Add(Box<Ast>, Box<Ast>),
    Assign(u32, Box<Ast>),
    Print(Box<Ast>),
    Block(Vec<Ast>),

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# Example GIF: https://user-images.githubusercontent.com/20902250/174349934-7a241462-93da-4376-8fac-71d83048f5bf.gif
# NOTE: This is a re-upload of a program I made several years ago.

import math
import time
import typing as t
from queue import PriorityQueue

import pygame

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#!/usr/bin/python

# Linear Feedback Shift Register (LFSR) Random Number generator We should be
# able to go through all of the possible states from our initial one before we
# start repeating. This means that we can have 2^n-1 unique numbers, n being
# the number of bits in our state before we start repeating numbers.

# Warning: This algorithm is NOT cryptographically secure, because given enough
# outputted bytes, by solving a bunch of linear equations and recompute the
# LFSR generator bits.  If we do need something cryptographically secure, we

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from __future__ import annotations
from typing import cast, Callable
from functools import wraps

_MISSING = object()  # Sentinel value to avoid conflicts with vars set to None


class AutoCacheMeta(type):
    def __new__(cls: type[AutoCacheMeta], name: str, bases: tuple[type[object]], clsdict: dict[str, object], **kwargs):
        allow_missing_cache = kwargs.pop("allow_missing_cache", False)

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#!/usr/bin/env python3
import inspect
from typing import Hashable, Any, Optional, Callable, TypeVar


# Make a unique object for unambiguously distinguishing some missing values.
# (Simply using None wouldn't work, because the actual value could have been None)
_MISSING = object()

# Define a callable type var for the @overload decorator function, to satisfy

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import io
from contextlib import redirect_stdout
import random
import secrets
import decimal
from decimal import Decimal, InvalidOperation, getcontext

# Set decimal precision high enough to compute the interpolation
# without any loss in floating point operations
getcontext().prec = 500

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import base64

c = "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"""
This attempts to abstarct away the standard way of using `__init__`,
the problem it tries to solve is the repetetiveness of using init purely
to store it's parameters into the instance under the exactly same name, i.e.:
class Stock:
    def __init__(name, shares, price):
        self.name = name
        self.shares = shares
        self.price = price
"""

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class ClassicalItem:
    """
    The classical solution, there's nothing special about it,
    but if we came from old implementation without this protection,
    we would loose backwards compatibility, because `amount` attribute
    wouldn't be accessible anymore.
    """
    def __init__(self, description, amount, price):
        self.description = description
        self.set_amount(amount)