py_stepik/mod_graph/anim4_img.py

"""
    https://stepik.org/lesson/468999/step/4?unit=459820

    Рисунок управляется стрелками
    Для выхода нужно нажать Q или Esc

    Картинки захардкожены в прямо в скрипт
    Зависимости: graph pillow

    Библиотека graph: https://kpolyakov.spb.ru/download/pygraph.zip
"""

import graph
from graph import *

from typing import NamedTuple
from contextlib import contextmanager
import types
import tempfile
import base64

consts = types.SimpleNamespace()
consts.VK_Q = 81
consts.VK_W = 87
consts.VK_A = 65
consts.VK_S = 83
consts.VK_D = 68

# объявление переменные для хранения картинки
hardcoded_image: bytes
hardcoded_bg: bytes


class Point(NamedTuple):
    """
    Вспомогательный класс для упрощения работы с координатами (сложение)
    """

    x: int | float
    y: int | float

    def __add__(self, other):
        if isinstance(other, self.__class__):
            return self.__class__(self.x + other.x, self.y + other.y)
        if isinstance(other, (int, float)):
            return self.__class__(self.x + other, self.y + other)
        return NotImplemented

    def __sub__(self, other):
        if isinstance(other, self.__class__):
            return self.__class__(self.x - other.x, self.y - other.y)
        if isinstance(other, (int, float)):
            return self.__class__(self.x - other, self.y - other)
        return NotImplemented


data = {"delta": Point(0, 0), "callbacks": []}


@contextmanager
def hardcoded_as_tmp(b64data: bytes, ext: str = ".png"):
    with tempfile.NamedTemporaryFile(
        mode="wb", suffix=ext, delete_on_close=False
    ) as fp:
        data = base64.b64decode(b64data)
        fp.write(data)
        fp.close()
        yield fp.name


def make_ghost_on_scene(start_pos=None):
    start_pos = start_pos or Point(0, 0)

    scene_sz = Point(1000, 1000)
    box_sz = Point(200, 150)
    box_offset = Point(400, 425)

    # рисуем фон
    with hardcoded_as_tmp(hardcoded_bg) as bg_filename:
        image(0, 0, bg_filename)

    # рисуем картинку
    box_pos = start_pos + box_offset
    with hardcoded_as_tmp(hardcoded_image) as img_filename:
        obj = image(*box_pos, img_filename)

    def update():
        delta = data["delta"]
        coord = Point(xCoord(obj), yCoord(obj)) - start_pos
        if (
            coord.x + delta.x < 0
            or coord.x + box_sz.x + delta.x > scene_sz.x
            or coord.y + delta.y < 0
            or coord.y + box_sz.y + delta.y > scene_sz.y
        ):
            return
        moveObjectBy(obj, delta.x, delta.y)

    data.setdefault("callbacks", []).append(update)


def keyPressed(event):
    match event.keycode:
        case graph.VK_LEFT:
            data["delta"] = Point(-15, 0)
        case graph.VK_RIGHT:
            data["delta"] = Point(15, 0)
        case graph.VK_UP:
            data["delta"] = Point(0, -15)
        case graph.VK_DOWN:
            data["delta"] = Point(0, 15)
        case consts.VK_Q | graph.VK_ESCAPE:
            killTimer(data["update_timer"])
            close()


def update():
    for callback in data["callbacks"]:
        callback()
    data["delta"] = Point(0, 0)


def main():
    canvasSize(1000, 1000)
    make_ghost_on_scene()

    data["update_timer"] = onTimer(update, 40)
    onKey(keyPressed)
    run()


# image = ghost.png ----

hardcoded_image = b"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"


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"

main()