ValV

import json

from os import listdir as ls, makedirs, path as osp
from tempfile import TemporaryDirectory
from zipfile import ZipFile

import pandas as pd


def merge_coco_archives(path_source, path_target=None, suffix='default'):

ValV

from os import listdir as ls, makedirs, path as osp
from shutil import copy2 as cp, make_archive
from tempfile import TemporaryDirectory


def create_cvat_yolo_zip(path_source, path_classes=None, path_target=None, copy_images=False):
    assert osp.isdir(path_source), f"'path_source' must be a directory with [flat] YOLO annotations!"
    path_classes = path_classes or osp.join(path_source, 'classes.txt')
    assert osp.isfile(path_classes), f"either 'path_classes' or 'classes.txt' in 'source_path' must exist!"
    path_target = path_target or '.'

ValV

# Evaluate function

def evaluate(env, agent, n_games=1, greedy=False, t_max=10000, frames=None):
    """ Plays n_games full games. If greedy, picks actions as argmax(qvalues). Returns mean reward. """
    rewards = []
    render = isinstance(frames, list)
    for _ in range(n_games):
        s, _ = env.reset()
        reward = 0
        for _ in range(t_max):

ValV

!git clone ololo
%pip install ./ololo

ValV

package com.github.valv.test

import kotlinx.serialization.*
import kotlinx.serialization.Serializable
import kotlinx.serialization.json.JSON

object Serializing {
    @Serializable
    data class SomeData(val name: String, val value: Any)