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def bootstrap(df, n, to_df=True):
    """
    generate n bootstraped samples from a DataFrame
    
    """
    assert isinstance(df, type(pd.DataFrame())),\
        f"Expected pandas.DataFrame, got type: {type(df)}"

    sample = {column: np.random.choice(df[column], size=int(n)) for column in df.columns}  # column: bootstrap sample
    if to_df: sample = pd.DataFrame.from_dict(sample)   # convert to DataFrame

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def test_model(model, sample, k=5):
    """
    get the mean time it takes to train the model over k-folds
    
    """
    x = sample.copy()  # set our predictors
    y = x.pop('y')  # set our response
    mean_fit_time = np.mean(cross_validate(model, x, y, cv=k)['fit_time']) * 100  # get mean run time

    return mean_fit_time

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def evaluate_cores(model, data, n_samples, stride=1000, printer=False):
    """
    evaluate multicore model training time
    
    """
    N = [n for n in range(stride, (n_samples+stride), stride)]  # the number of samples we're using, stride of 1000

    cores = os.cpu_count()  # get the number of cores

    model_dict = {f"model_{n}": model(n_jobs=n) for n in range(1, cores+1)}  # contruct model:instance pairs

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def visualize(data, save=False):
    """
    plot the results
    
    """

    y = data.copy()  # get y-values
    x = y.pop('N')  # get x-values

    plt.plot(x, y)

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import gym
import gym_pull

gym_pull.pull('github.com/ppaquette/gym-super-mario')
env = gym.make('ppaquette/SuperMarioBros-1-1-v0')

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register(
    id='SuperMarioBros-1-1-v0',
    entry_point='gym.envs.ppaquette_gym_super_mario:MetaSuperMarioBrosEnv'
)

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add_group(
    id='ppaquette_gym_super_mario',
    name='ppaquette_gym_super_mario',
    description='super_mario'
)

 # mario bros
add_task(
    id='ppaquette/SuperMarioBros-1-1-v0',
    group='ppaquette_gym_super_mario',

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# Super Mario

register(
         id='SuperMarioBros-1-1-v0',
         entry_point='gym.envs.ppaquette_gym_super_mario:MetaSuperMarioBrosEnv',
)

register(
         id='SuperMarioBros-1-2-v0',
         entry_point='gym.envs.ppaquette_gym_super_mario:MetaSuperMarioBrosEnv',