"""Mixture of Gaussians, with block Gibbs for inference.
"""
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
from time import time
import edward as ed
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
from edward.models import (
Dirichlet, Categorical, InverseGamma, ParamMixture, Normal)
def main(_):
# Generate data
true_mu = np.array([-1.0, 0.0, 1.0], np.float32) * 10
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