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import numpy as np

from bokeh.layouts import row
from bokeh.models.widgets import CheckboxGroup
from bokeh.plotting import figure, show

from bokeh.core.json_encoder import serialize_json
from bokeh.document import Document
from bokeh.util.serialization import make_id

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from concurrent.futures import ThreadPoolExecutor
import keras


def f():
    # NOTE: removing this line causes the `get_weights` call later to fail
    # The initialization performed in `get_session` is important somehow?
    print('Info:', keras.backend.get_session(), keras.backend.get_session().graph)

    model = keras.models.Sequential()

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import tensorflow as tf
from tensorflow.contrib import keras
from tensorflow.examples.tutorials.mnist import input_data

from dask.multiprocessing import get as mp_get
from distributed import Client
from functools import partial
from sklearn.model_selection import ParameterGrid

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import numpy as np
import tensorflow as tf
import keras
from keras import backend as K
from distributed import Client, client


def new_session():
    sess = tf.Session()
    return sess

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from argparse import Namespace
from multiprocessing import Pool, current_process
import sys
import tempfile
from sklearn.model_selection import ParameterGrid
from keras_util import parse_model_args, limited_memory_session
from autoencoder import main as autoencoder
from period import main as period
from asas import main as asas
from asas_full import main as asas_full

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from argparse import Namespace
from multiprocessing import Pool, current_process
import sys
import tempfile
from sklearn.model_selection import ParameterGrid
from keras_util import parse_model_args, limited_memory_session
from autoencoder import main as autoencoder
from period import main as period
from asas import main as asas
from asas_full import main as asas_full

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