text: """Default hyperparameters for 1D time-dep Burgers Equation."""
  
  import numpy as np
  import tensorflow as tf
  
  
  HP = {}
  # Dimension of u(x, t, mu)
  HP["n_v"] = 1
  # Space
  HP["n_x"] = 256
  HP["x_min"] = 0.
  HP["x_max"] = 1.5
  # Time
  HP["n_t"] = 1000
  HP["t_min"] = 1.
  HP["t_max"] = 5.
  # Snapshots count
  HP["n_s"] = 300
  HP["n_s_hifi"] = int(1e3)
  # POD stopping param
  HP["eps"] = 1e-10
  HP["eps_init"] = 1e-10
  # HP["eps_init"] = None
  # Train/val split
  HP["train_val_test"] = (1/3, 1/3, 1/3)
  # Deep NN hidden layers topology
  HP["h_layers"] = [64, 64]
  # Setting up _structthe TF SGD-based optimizer
  HP["epochs"] = 80000
  HP["lr"] = 0.002
  HP["lambda"] = 1e-4
  # Frequency of the logger
  HP["log_frequency"] = 1000
  # Burgers params
  HP["mu_min"] = [0.001]
  HP["mu_max"] = [0.0100]
  
  np.random.seed(1111)
  tf.random.set_seed(1111)
  