diff --git a/data/synthetic_cortex/generate_simulation.ipynb b/data/synthetic_cortex/generate_simulation.ipynb new file mode 100644 index 0000000..c765d3e --- /dev/null +++ b/data/synthetic_cortex/generate_simulation.ipynb @@ -0,0 +1,4271 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import random\n", + "import numpy as np\n", + "from scipy.spatial import Delaunay\n", + "from scipy.spatial.distance import pdist\n", + "from scipy.spatial.distance import cdist\n", + "from scipy.spatial.distance import squareform\n", + "from scipy.stats import gaussian_kde\n", + "from scipy.stats import gamma\n", + "from scipy.stats import truncnorm\n", + "from scipy.stats import truncexpon\n", + "from scipy.stats import expon\n", + "from scipy.stats import bernoulli\n", + "from scipy.stats import dirichlet\n", + "from matplotlib.colors import hsv_to_rgb\n", + "from matplotlib import colors as mcolors\n", + "from sklearn.metrics import pairwise_distances\n", + "from PIL import Image\n", + "import umap\n", + "import pickle as pkl\n", + "import seaborn as sns\n", + "import pandas as pd\n", + "import networkx as nx\n", + "import sys\n", + "import os\n", + "import scipy\n", + "import matplotlib.pyplot as plt" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Helper Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def generate_2d_points(N, dist_min):\n", + " p = np.zeros((N, 2))\n", + " p[0] = np.random.rand(2)\n", + " for n in range(1, N):\n", + " while True:\n", + " p_n = np.random.rand(1, 2)\n", + " D = cdist(p[0:n], p_n)\n", + " if np.min(D) > dist_min:\n", + " p[n] = p_n\n", + " break\n", + " return p\n", + "\n", + "def generate_synthetic_cortex_metagenes(Ks, lambdas, ps, G=100, normalize='sum2one'):\n", + " cKs = np.cumsum([0] + Ks.tolist())\n", + " M = cKs[-1]\n", + " for i, j, p, lam in zip(cKs[:-1], cKs[1:], ps, lambdas):\n", + " m = gamma.rvs(lam, size=G)\n", + " M[i] = m\n", + " for k in range(i+1, j):\n", + " mask = bernoulli.rvs(p, size=G).astype('bool')\n", + " M[k, mask] = gamma.rvs(lam, size=np.sum(mask))\n", + " M = M.T\n", + " \n", + " if normalize is None: pass\n", + " elif normalize == 'sum2one': M /= np.sum(M, axis=0)\n", + " \n", + " return M\n", + "\n", + "def generate_synthetic_cortex_replicate(points, sigX_scale=1.0, n_noise_metagenes=3):\n", + " assert isinstance(n_noise_metagenes, int)\n", + " K = 10 + n_noise_metagenes\n", + " N = points.shape[0]\n", + " cell_type = np.zeros((N), dtype='int')\n", + " \n", + " sigX_list = [.1, .1, .1, .1, .1,\n", + " .1, .1, .1, .1, .1] + ([.03] * n_noise_metagenes)\n", + " sigX = np.array(sigX_list)\n", + " sigX = sigX * sigX_scale\n", + " \n", + " Z = np.zeros((N, K))\n", + " X = np.zeros((N, K))\n", + "\n", + " # Data consists of 4 layers of widths [.3, .2, .25, .25]. Each layer has a\n", + " # unique excitatory neuronal type. There are three inhibitory neuronal\n", + " # types which have slight layer preferences. There are two layer-specific\n", + " # non-neuron types, one of which constitutes most of layer 2. There is a\n", + " # third non-neuron type, which is uniformly distributed throughout.\n", + " # 0 - Ex L1\n", + " # 1 - Ex L2\n", + " # 2 - Ex L3\n", + " # 3 - Ex L4\n", + " # 4 - In 1\n", + " # 5 - In 2\n", + " # 6 - non-Neuron L1\n", + " # 7 - non-Neuron (ubiquitous)\n", + "\n", + " # Metagenes\n", + " # 0 - Ex\n", + " # 1 - In\n", + " # 2 - In-1\n", + " # 3 - In-2\n", + " # 4 - non-Neuron 1\n", + " # 5 - non-Neuron 2\n", + " # 6 - L1\n", + " # 7 - L2\n", + " # 8 - L3\n", + " # 9 - L4\n", + " # 10 - end - random\n", + "\n", + " # Non-neuron 1\n", + " ind = list(range(N))\n", + " random.shuffle(ind)\n", + " N_ind = int(len(ind)*.07)\n", + " cell_type[ind[:N_ind]] = 7\n", + " Z[ind[:N_ind], 4] = 1.0\n", + " indL = np.where((points[:, 0] < .35) * (cell_type == 7))[0]\n", + " Z[indL, 6] = 0.3\n", + " indL = np.where(((points[:, 0] >= .35) * (points[:, 0] < .5)) * (cell_type == 7))[0]\n", + " Z[indL, 7] = 0.3\n", + " indL = np.where(((points[:, 0] >= .5) * (points[:, 0] < .75)) * (cell_type == 7))[0]\n", + " Z[indL, 8] = 0.3\n", + " indL = np.where((points[:, 0] >= .75) * (cell_type == 7))[0]\n", + " Z[indL, 9] = 0.3\n", + "\n", + " # Layer 1\n", + " indL = np.where((points[:, 0] < .35) * (cell_type == 0))[0]\n", + " random.shuffle(indL)\n", + " n_type1 = int(len(indL)*.1)\n", + " n_type2 = n_type1 + int(len(indL)*.5)\n", + " # Inhibitory 1\n", + " cell_type[indL[:n_type1]] = 4\n", + " Z[indL[:n_type1], 1] = 1.0\n", + " Z[indL[:n_type1], 2] = 0.6\n", + " Z[indL[:n_type1], 6] = 0.3\n", + " # Non-Neuron 2\n", + " cell_type[indL[n_type1:n_type2]] = 6\n", + " Z[indL[n_type1:n_type2], 5] = 1.0\n", + " Z[indL[n_type1:n_type2], 6] = 0.3\n", + " # Excitatory L1\n", + " cell_type[indL[n_type2:]] = 0\n", + " Z[indL[n_type2:], 0] = 1.0\n", + " Z[indL[n_type2:], 6] = 0.6\n", + "\n", + " # Layer 2\n", + " indL = np.where(((points[:, 0] >= .35) * (points[:, 0] < .5)) * (cell_type == 0))[0]\n", + " # Excitatory L2\n", + " cell_type[indL] = 1\n", + " Z[indL, 0] = 1.0\n", + " Z[indL, 7] = 0.6\n", + "\n", + " # Layer 3\n", + " indL = np.where(((points[:, 0] >= .5) * (points[:, 0] < .75)) * (cell_type == 0))[0]\n", + " random.shuffle(indL)\n", + " n_type1 = int(len(indL)*.1)\n", + " n_type2 = n_type1 + int(len(indL)*.3)\n", + " # Inhibitory 1\n", + " cell_type[indL[:n_type1]] = 4\n", + " Z[indL[:n_type1], 1] = 1.0\n", + " Z[indL[:n_type1], 2] = 0.6\n", + " Z[indL[:n_type1], 8] = 0.3\n", + " # Inhibitory 2\n", + " cell_type[indL[n_type1:n_type2]] = 5\n", + " Z[indL[n_type1:n_type2], 1] = 1.0\n", + " Z[indL[n_type1:n_type2], 3] = 0.6\n", + " Z[indL[n_type1:n_type2], 8] = 0.3\n", + " # Excitatory L3\n", + " cell_type[indL[n_type2:]] = 2\n", + " Z[indL[n_type2:], 0] = 1.0\n", + " Z[indL[n_type2:], 8] = 0.6\n", + "\n", + " # Layer 4\n", + " indL = np.where((points[:, 0] >= .75) * (cell_type == 0))[0]\n", + " random.shuffle(indL)\n", + " n_type1 = int(len(indL)*.1)\n", + " n_type2 = n_type1 + int(len(indL)*.1)\n", + " # Inhibitory 1\n", + " cell_type[indL[:n_type1]] = 4\n", + " Z[indL[:n_type1], 1] = 1.0\n", + " Z[indL[:n_type1], 2] = 0.6\n", + " Z[indL[:n_type1], 9] = 0.3\n", + " # Inhibitory 2\n", + " cell_type[indL[n_type1:n_type2]] = 5\n", + " Z[indL[n_type1:n_type2], 1] = 1.0\n", + " Z[indL[n_type1:n_type2], 3] = 0.6\n", + " Z[indL[n_type1:n_type2], 9] = 0.3\n", + " # Excitatory L4\n", + " cell_type[indL[n_type2:]] = 3\n", + " Z[indL[n_type2:], 0] = 1.0\n", + " Z[indL[n_type2:], 9] = 0.6\n", + "\n", + " # Extrinsic factors\n", + " Z[:, 10:K] = 0.05\n", + " \n", + "# print(Z[np.unique(cell_type, return_index=True)[1]])\n", + " print(Z[cell_type==6])\n", + "\n", + " #Z = Z.T / np.sum(Z.T, axis=0)\n", + " #Z = 10 * Z.T\n", + " #Z = 1./Z.T\n", + " for n in range(N):\n", + " for k in range(K):\n", + " X[n, k] = sigX[k]*truncnorm.rvs(-Z[n, k]/sigX[k], 100) + Z[n, k]\n", + " # X[n] = sample_exponential_on_simplex(1, Z[n], 30)\n", + " # X[n] = dirichlet.rvs(Z[n])\n", + " X = X * (Z > 0)\n", + " X = X.T\n", + " X = X / np.sum(X, axis=0)\n", + " return X, cell_type\n" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "def sample_gaussian(Sig, m, N=1):\n", + " K = Sig.shape[0]\n", + " assert Sig.shape[0] == Sig.shape[1]\n", + " assert len(m) == K\n", + " # Box-Muller Method\n", + " L = np.linalg.cholesky(Sig)\n", + " n_z = K + (K % 2)\n", + " x = np.zeros((n_z, N))\n", + " n_samples = 0\n", + " while True:\n", + " n_valid = 0\n", + " while True:\n", + " z = 2*np.random.rand(2) - 1\n", + " if (z[0]**2 + z[1]**2 <= 1):\n", + " r = np.linalg.norm(z)\n", + " x[n_valid, n_samples] = z[0]*np.sqrt(-2*np.log(r**2)/r**2)\n", + " x[n_valid + 1, n_samples] = z[1]*np.sqrt(-2*np.log(r**2)/r**2)\n", + " n_valid += 2\n", + " if n_valid == n_z:\n", + " n_samples += 1\n", + " break\n", + " if n_samples == N:\n", + " break\n", + " # if K is odd, there will be one extra sample, so throw it away\n", + " x = x[0:K, :]\n", + " x = np.dot(L, x) + np.expand_dims(m, -1)\n", + " return np.squeeze(x)\n", + "\n", + "def generate_2d_points(N, dist_min):\n", + " p = np.zeros((N, 2))\n", + " p[0] = np.random.rand(2)\n", + " for n in range(1, N):\n", + " while True:\n", + " p_n = np.random.rand(1, 2)\n", + " D = cdist(p[0:n], p_n)\n", + " if np.min(D) > dist_min:\n", + " p[n] = p_n\n", + " break\n", + " return p\n", + "\n", + "def generate_affinity_mat(p, tau=1.0, delaunay=True):\n", + " if delaunay:\n", + " A = np.zeros((p.shape[0], p.shape[0]))\n", + " D = Delaunay(p)\n", + " for tri in D.simplices:\n", + " A[tri[0], tri[1]] = 1\n", + " A[tri[1], tri[2]] = 1\n", + " A[tri[2], tri[0]] = 1\n", + " else:\n", + " disjoint_nodes = True\n", + " while(disjoint_nodes):\n", + " N = p.shape[0]\n", + " # Construct graph\n", + " D = squareform(pdist(p))\n", + " A = D < tau\n", + " Id = np.identity(N, dtype='bool')\n", + " A = A * ~Id\n", + " G = nx.from_numpy_matrix(A)\n", + " if not nx.is_connected(G):\n", + " # increase tau by 10% and repeat\n", + " tau = 1.1*tau\n", + " print('Graph is not connected, increasing tau to %s', tau)\n", + " else:\n", + " disjoint_nodes = False\n", + " return A\n", + "\n", + "def generate_synthetic_cortex_metagenes(lambda_m1=4.0, lambda_m2=8.0, G=100, n_noise_metagenes=3, normalize=True):\n", + " assert isinstance(n_noise_metagenes, int)\n", + " K = 10 + n_noise_metagenes\n", + " M = np.zeros((K, G))\n", + "\n", + " # Neuron types\n", + " m = gamma.rvs(lambda_m1, size=G)\n", + " M[0] = m\n", + " M[1] = m\n", + " mask = bernoulli.rvs(0.25, size=G).astype('bool')\n", + " M[1, mask] = gamma.rvs(lambda_m1, size=np.sum(mask))\n", + " # Inhibitory subtypes\n", + " m = gamma.rvs(lambda_m1, size=G)\n", + " M[2] = m\n", + " M[3] = m\n", + " mask = bernoulli.rvs(0.25, size=G).astype('bool')\n", + " M[3, mask] = gamma.rvs(lambda_m1, size=np.sum(mask))\n", + " mask = bernoulli.rvs(0.25, size=G).astype('bool')\n", + " # Non-neuron types\n", + " m = gamma.rvs(lambda_m1, size=G)\n", + " M[4] = m\n", + " M[5] = m\n", + " mask = bernoulli.rvs(0.25, size=G).astype('bool')\n", + " M[5, mask] = gamma.rvs(lambda_m1, size=np.sum(mask))\n", + " # Layers\n", + " m = gamma.rvs(lambda_m1, size=G)\n", + " M[6] = m\n", + " M[7] = m\n", + " mask = bernoulli.rvs(0.1, size=G).astype('bool')\n", + " M[7, mask] = gamma.rvs(lambda_m1, size=np.sum(mask))\n", + " M[8] = m\n", + " mask = bernoulli.rvs(0.1, size=G).astype('bool')\n", + " M[8, mask] = gamma.rvs(lambda_m1, size=np.sum(mask))\n", + " M[9] = m\n", + " mask = bernoulli.rvs(0.1, size=G).astype('bool')\n", + " M[9, mask] = gamma.rvs(lambda_m1, size=np.sum(mask))\n", + " # Random\n", + " for i in range(10, K):\n", + " M[i] = gamma.rvs(lambda_m2, size=G)\n", + "\n", + " M = M.T\n", + " if normalize:\n", + " M = M / np.sum(M, axis=0)\n", + " return M\n", + "\n", + "def generate_synthetic_cortex_replicate(points, sigX_scale=1.0, n_noise_metagenes=3):\n", + " assert isinstance(n_noise_metagenes, int)\n", + " K = 10 + n_noise_metagenes\n", + " N = points.shape[0]\n", + " cell_type = np.zeros((N), dtype='int')\n", + " \n", + " sigX_list = [.1, .1, .1, .1, .1,\n", + " .1, .1, .1, .1, .1] + ([.03] * n_noise_metagenes)\n", + " sigX = np.array(sigX_list)\n", + " sigX = sigX * sigX_scale\n", + " \n", + " Z = np.zeros((N, K))\n", + " X = np.zeros((N, K))\n", + "\n", + " # Data consists of 4 layers of widths [.3, .2, .25, .25]. Each layer has a\n", + " # unique excitatory neuronal type. There are three inhibitory neuronal\n", + " # types which have slight layer preferences. There are two layer-specific\n", + " # non-neuron types, one of which constitutes most of layer 2. There is a\n", + " # third non-neuron type, which is uniformly distributed throughout.\n", + " # 0 - Ex L1\n", + " # 1 - Ex L2\n", + " # 2 - Ex L3\n", + " # 3 - Ex L4\n", + " # 4 - In 1\n", + " # 5 - In 2\n", + " # 6 - non-Neuron L1\n", + " # 7 - non-Neuron (ubiquitous)\n", + "\n", + " # Metagenes\n", + " # 0 - Ex\n", + " # 1 - In\n", + " # 2 - In-1\n", + " # 3 - In-2\n", + " # 4 - non-Neuron 1\n", + " # 5 - non-Neuron 2\n", + " # 6 - L1\n", + " # 7 - L2\n", + " # 8 - L3\n", + " # 9 - L4\n", + " # 10 - end - random\n", + "\n", + " # Non-neuron 1\n", + " ind = list(range(N))\n", + " random.shuffle(ind)\n", + " N_ind = int(len(ind)*.07)\n", + " cell_type[ind[:N_ind]] = 7\n", + " Z[ind[:N_ind], 4] = 1.0\n", + " indL = np.where((points[:, 0] < .35) * (cell_type == 7))[0]\n", + " Z[indL, 6] = 0.3\n", + " indL = np.where(((points[:, 0] >= .35) * (points[:, 0] < .5)) * (cell_type == 7))[0]\n", + " Z[indL, 7] = 0.3\n", + " indL = np.where(((points[:, 0] >= .5) * (points[:, 0] < .75)) * (cell_type == 7))[0]\n", + " Z[indL, 8] = 0.3\n", + " indL = np.where((points[:, 0] >= .75) * (cell_type == 7))[0]\n", + " Z[indL, 9] = 0.3\n", + "\n", + " # Layer 1\n", + " indL = np.where((points[:, 0] < .35) * (cell_type == 0))[0]\n", + " random.shuffle(indL)\n", + " n_type1 = int(len(indL)*.1)\n", + " n_type2 = n_type1 + int(len(indL)*.5)\n", + " # Inhibitory 1\n", + " cell_type[indL[:n_type1]] = 4\n", + " Z[indL[:n_type1], 1] = 1.0\n", + " Z[indL[:n_type1], 2] = 0.6\n", + " Z[indL[:n_type1], 6] = 0.3\n", + " # Non-Neuron 2\n", + " cell_type[indL[n_type1:n_type2]] = 6\n", + " Z[indL[n_type1:n_type2], 5] = 1.0\n", + " Z[indL[n_type1:n_type2], 6] = 0.3\n", + " # Excitatory L1\n", + " cell_type[indL[n_type2:]] = 0\n", + " Z[indL[n_type2:], 0] = 1.0\n", + " Z[indL[n_type2:], 6] = 0.6\n", + "\n", + " # Layer 2\n", + " indL = np.where(((points[:, 0] >= .35) * (points[:, 0] < .5)) * (cell_type == 0))[0]\n", + " # Excitatory L2\n", + " cell_type[indL] = 1\n", + " Z[indL, 0] = 1.0\n", + " Z[indL, 7] = 0.6\n", + "\n", + " # Layer 3\n", + " indL = np.where(((points[:, 0] >= .5) * (points[:, 0] < .75)) * (cell_type == 0))[0]\n", + " random.shuffle(indL)\n", + " n_type1 = int(len(indL)*.1)\n", + " n_type2 = n_type1 + int(len(indL)*.3)\n", + " # Inhibitory 1\n", + " cell_type[indL[:n_type1]] = 4\n", + " Z[indL[:n_type1], 1] = 1.0\n", + " Z[indL[:n_type1], 2] = 0.6\n", + " Z[indL[:n_type1], 8] = 0.3\n", + " # Inhibitory 2\n", + " cell_type[indL[n_type1:n_type2]] = 5\n", + " Z[indL[n_type1:n_type2], 1] = 1.0\n", + " Z[indL[n_type1:n_type2], 3] = 0.6\n", + " Z[indL[n_type1:n_type2], 8] = 0.3\n", + " # Excitatory L3\n", + " cell_type[indL[n_type2:]] = 2\n", + " Z[indL[n_type2:], 0] = 1.0\n", + " Z[indL[n_type2:], 8] = 0.6\n", + "\n", + " # Layer 4\n", + " indL = np.where((points[:, 0] >= .75) * (cell_type == 0))[0]\n", + " random.shuffle(indL)\n", + " n_type1 = int(len(indL)*.1)\n", + " n_type2 = n_type1 + int(len(indL)*.1)\n", + " # Inhibitory 1\n", + " cell_type[indL[:n_type1]] = 4\n", + " Z[indL[:n_type1], 1] = 1.0\n", + " Z[indL[:n_type1], 2] = 0.6\n", + " Z[indL[:n_type1], 9] = 0.3\n", + " # Inhibitory 2\n", + " cell_type[indL[n_type1:n_type2]] = 5\n", + " Z[indL[n_type1:n_type2], 1] = 1.0\n", + " Z[indL[n_type1:n_type2], 3] = 0.6\n", + " Z[indL[n_type1:n_type2], 9] = 0.3\n", + " # Excitatory L4\n", + " cell_type[indL[n_type2:]] = 3\n", + " Z[indL[n_type2:], 0] = 1.0\n", + " Z[indL[n_type2:], 9] = 0.6\n", + "\n", + " # Extrinsic factors\n", + " Z[:, 10:K] = 0.05\n", + "\n", + " #Z = Z.T / np.sum(Z.T, axis=0)\n", + " #Z = 10 * Z.T\n", + " #Z = 1./Z.T\n", + " for n in range(N):\n", + " for k in range(K):\n", + " X[n, k] = sigX[k]*truncnorm.rvs(-Z[n, k]/sigX[k], 100) + Z[n, k]\n", + " # X[n] = sample_exponential_on_simplex(1, Z[n], 30)\n", + " # X[n] = dirichlet.rvs(Z[n])\n", + " X = X * (Z > 0)\n", + " X = X.T\n", + " X = X / np.sum(X, axis=0)\n", + " return X, cell_type\n", + "\n", + "def perturb_genes(Y, K, g1=.2, g2=.2, shape=2.5):\n", + " G, N = Y.shape\n", + " G_g = int(g1*G)\n", + " for n in range(N):\n", + " ind = random.sample(range(G), G_g)\n", + " Y[ind, n] = gamma.rvs(shape, size=G_g) / float(G)\n", + " G_g = int(g2*G)\n", + " ind = random.sample(range(G), G_g)\n", + " Y[ind, :] = (gamma.rvs(shape, size=(G_g*N)) / float(G)).reshape((G_g, N))\n", + " return Y\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Plotting Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "def drawEdges(p, A, color='gray', linewidth=1):\n", + " for i, e in enumerate(D.A[0]):\n", + " for j, ee in enumerate(e):\n", + " if ee:\n", + " plt.plot([p[i, 0], p[j, 0]], [p[i, 1], p[j, 1]], color=color, linewidth=linewidth)\n", + "\n", + "def plot_UMAP(X, C, plots_dir, colors=None, save_figure=False, normalize=True):\n", + " if not colors:\n", + " colors = {0: 'darkkhaki', 1: 'mediumspringgreen', 2: 'greenyellow', 3: '#95bfa6',\n", + " 4: 'violet', 5: 'firebrick', 6: 'gold',\n", + " 7: 'deepskyblue', 8: 'darkslateblue', 9: 'gainsboro'}\n", + " if normalize:\n", + " x = (X.T - np.average(X.T, axis=0))\n", + " x_std = x.std(axis=0)\n", + " for k in range(x.shape[1]):\n", + " if not x_std[k] == 0:\n", + " x[:,k] = np.divide(x[:,k], x_std[k])\n", + "\n", + " # UMAP\n", + " X_u = umap.UMAP(\n", + " n_components=2,\n", + " # spread=1,\n", + " n_neighbors=10,\n", + " min_dist=0.3,\n", + " # learning_rate=100,\n", + " # metric='euclidean',\n", + " # metric='manhattan',\n", + " # metric='canberra',\n", + " # metric='braycurtis',\n", + " # metric='mahalanobis',\n", + " # metric='cosine',\n", + " # metric='correlation',\n", + " ).fit_transform(x)\n", + "\n", + " fig = plt.figure(figsize=(7, 5))\n", + " ax = fig.add_axes([0.1, 0.1, .8, .8])\n", + " for c in np.unique(C):\n", + " idx = C == c\n", + " ax.scatter(X_u[idx, 0], X_u[idx, 1], alpha=.7, c=colors[c])\n", + " ax.set_xticks([])\n", + " ax.set_yticks([])\n", + " ax.yaxis.set_label_position('right')\n", + " plt.show()\n", + " if save_figure:\n", + " plt.savefig(os.path.join(plots_dir, 'synth_umap.png'))\n", + "\n", + "def plot_cell_types(p, C, A, colors=None):\n", + " if not colors:\n", + " colors = {0: 'sandybrown', 1: 'lightskyblue',\n", + " 2: 'mediumspringgreen', 3: 'palegreen',\n", + " 4: 'greenyellow', 5: 'darkseagreen',\n", + " 6: 'burlywood', 7: 'orangered', 8: 'firebrick',\n", + " 9: 'gold', 10: 'mediumorchid', 11: 'magenta',\n", + " 12: 'palegoldenrod', 13: 'gainsboro', 14: 'teal',\n", + " 15: 'darkslateblue'}\n", + " df = pd.DataFrame({'X': p[:, 0], 'Y': p[:, 1], 'C': C})\n", + " fig = plt.figure(figsize=(12, 6))\n", + " ax = fig.add_axes([0, 0, 1, 1])\n", + " drawEdges(p, A)\n", + " sns.scatterplot(data=df, x='X', y='Y', hue='C', ax=ax, palette=colors,\n", + " legend=False, hue_order=list(set(C)), size_norm=10.0)\n", + " plt.show()\n", + "\n", + "\n", + "def plot_metagene_expression(X, p, plots_dir, save_figure=False):\n", + " K, N = X.shape\n", + " for k in range(K):\n", + " fig = plt.figure(figsize=(5, 3))\n", + " ax = fig.add_axes([.1, .1, .8, .8])\n", + " ax.set_ylabel('Metagene ' + str(k))\n", + " sca = ax.scatter(p[:, 0], p[:, 1], c=X[k], s=23, cmap=plt.get_cmap('Blues'), vmin=0)\n", + " #ax.xaxis.set_visible(False)\n", + " fig.colorbar(sca)\n", + " ax.set_yticks([])\n", + " ax.set_xticks([])\n", + " plt.show()\n", + " if save_figure:\n", + " plt.savefig(os.path.join(plots_dir, 'synth-metagene_' + str(k) + '.png'))\n", + "\n", + "def plot_metagenes(M, order_genes=True):\n", + " if order_genes:\n", + " mclust = scipy.cluster.hierarchy.linkage(M, 'ward')\n", + " mdendro = scipy.cluster.hierarchy.dendrogram(mclust, no_plot=True)\n", + " plt.imshow(M[mdendro['leaves']], aspect='auto')\n", + " else:\n", + " plt.imshow(M, aspect='auto')\n", + " plt.xlabel('Metagene ID')\n", + " plt.ylabel('Gene ID')\n", + " plt.show()\n", + "\n", + "def plot_expression(Y, plots_dir, order_genes=True, C=None, save_figure=False):\n", + " fig = plt.figure(figsize=(8, 8))\n", + " if C is not None:\n", + " indx = []\n", + " for c in list(set(C)):\n", + " indx += list(np.where(C == c)[0])\n", + "# ax = fig.add_axes([0.1, 0.9, 0.8, 0.05])\n", + "# #colors = [sp_colors[c] for c in C]\n", + "# #colors = np.array(colors, dtype='object')\n", + "# #ax.table(cellColours=np.expand_dims(C, -1))\n", + "# #ax.table(cellColours=np.expand_dims(colors, -1))\n", + "# colors = []\n", + "# colors.append([sp_colors[c] for c in C])\n", + "# colors.append([sp_colors[c] for c in C])\n", + "# colors = []\n", + "# colors.append([sp_colors[c] for c in range(10)])\n", + "# colors.append([sp_colors[c] for c in range(10)])\n", + "# ax.table(cellColours=colors, edges='open')\n", + "# #ax.table(cellColours=colors, edges='open')\n", + "# #ax.set_xticks([])\n", + "# #ax.set_yticks([])\n", + " else:\n", + " indx = list(range(Y.shape[1]))\n", + " if order_genes:\n", + " yclust = scipy.cluster.hierarchy.linkage(Y, 'ward')\n", + " ydendro = scipy.cluster.hierarchy.dendrogram(yclust, no_plot=True)\n", + " indy = ydendro['leaves']\n", + " else:\n", + " indy = list(range(Y.shape[0]))\n", + " ax = fig.add_axes([0.1, 0.1, 0.8, 0.7])\n", + " ax.imshow(Y[indy][:, indx], aspect='auto', zorder=10)\n", + " ax.set_ylabel('Gene ID')\n", + " ax.set_xlabel('Cell ID')\n", + " plt.show()\n", + " if save_figure:\n", + " plt.savefig(os.path.join(plots_dir, 'synth_Y.png'))\n", + "\n", + "\n", + "def plot_membership(X, C=None):\n", + " if C is not None:\n", + " ind = []\n", + " for c in list(set(C)):\n", + " ind += list(np.where(C == c)[0])\n", + " im = plt.imshow(X[:, ind], aspect='auto')\n", + " else:\n", + " plt.imshow(X, aspect='auto')\n", + " plt.xlabel('Cell ID')\n", + " plt.ylabel('Metagene ID')\n", + " plt.colorbar(im)\n", + " plt.show()\n", + "\n", + "\n", + "def plot_membership_distribution(X, C, plots_dir, save_figure=False):\n", + " K, N = X.shape\n", + " for c in np.unique(C):\n", + " idx = c == C\n", + " X_temp = X[:, idx].T\n", + " print(np.average(X_temp, axis=0))\n", + " Xdf = pd.DataFrame(X_temp)\n", + " #fig = plt.figure(figsize=(8, 6))\n", + " Xdf.plot.hist(bins=12, alpha=0.4)\n", + " plt.show()\n", + " if save_figure:\n", + " plt.savefig(os.path.join(plots_dir, 'synth_X' + str(c) + '_dist.png'))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Dataset Class and Functions" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [], + "source": [ + "def reformat(X, Y, A, p, M, sig_yx, Sig_x_inv, gene_ind, n_replicates, data_dir):\n", + " GG, K = M.shape\n", + "\n", + " gene_ind_exclu = sorted(list(set(range(GG)) - set(gene_ind)))\n", + " gene_ind_share = list(gene_ind)\n", + " gene_ind = gene_ind_share + gene_ind_exclu\n", + " M = M[gene_ind]\n", + "\n", + " YTs = [y.T for y in Y]\n", + " XTs = [x.T for x in X]\n", + " Ns, Gs = zip(*[YT.shape for YT in YTs])\n", + "\n", + " sigma_yx_invs = [1./sig_yx for _ in XTs]\n", + " delta_x = np.zeros(K)\n", + " prior_xs = [('Exponential shared', np.ones(K), ) for _ in XTs]\n", + "\n", + " for G, YT, XT, prior_x in zip(Gs, YTs, XTs, prior_xs):\n", + " assert prior_x[0] == 'Exponential shared'\n", + " lambda_x, = prior_x[1:]\n", + " lambda_x = lambda_x.mean()\n", + " print('G = {}'.format(G))\n", + " print('mean Xik = {} ~ {}'.format(XT.mean(), 1/lambda_x))\n", + " print('mean Yig = {} ~ {}'.format(YT.mean(), K/lambda_x/GG))\n", + " print('mean power Yig = {}'.format((YT**2).mean()))\n", + " print('mean |Yi| = {} ~ {}'.format(YT.sum(1).mean(), K*G/lambda_x/GG))\n", + " print('RMSE Y = {} ~ {}'.format(np.sqrt(((YT.T - M[:G] @ XT.T)**2).mean()), sig_yx))\n", + " print('SNR = {}'.format((YT**2).mean() / sig_yx**2))\n", + " print('SNR (dB) = {}'.format(10*np.log((YT**2).mean() / (2*sig_yx)**2)))\n", + "\n", + " n_replicates = len(Y)\n", + " for i in range(n_replicates):\n", + " np.savetxt(os.path.join(data_dir, 'files', 'expression_' + str(i) + '.txt'), Y[i].T, fmt='%.6f')\n", + " np.savetxt(os.path.join(data_dir, 'files', 'coordinates_' + str(i) + '.txt'), p[i], fmt='%.6f')\n", + " # np.savetxt('../files/coordinates_1.txt', p, fmt='%.6f')\n", + " with open(os.path.join(data_dir, 'files', 'neighborhood_' + str(i) + '.txt'), 'w') as f:\n", + " for i, e in enumerate(A[i]):\n", + " for j, ee in enumerate(e):\n", + " if not ee: continue\n", + " f.write('{}\\t{}\\n'.format(i, j))\n", + "\n", + " for i in range(n_replicates):\n", + " np.savetxt(os.path.join(data_dir, 'files', 'genes_' + str(i) + '.txt'), np.arange(len(Y[i])), fmt='%d')\n", + "\n", + " np.savetxt(os.path.join(data_dir, 'files', 'truth_M.txt'), M, fmt='%.6f')\n", + " for i in range(n_replicates):\n", + " np.savetxt(os.path.join(data_dir, 'files', 'truth_X_' + str(i) + '.txt'), X[i].T, fmt='%.6f')\n", + "\n", + " if not os.path.exists(os.path.join(data_dir, 'logs')):\n", + " os.mkdir(os.path.join(data_dir, 'logs'))\n", + " if not os.path.exists(os.path.join(data_dir, 'scripts')):\n", + " os.mkdir(os.path.join(data_dir, 'scripts'))\n", + " for iexprs in [range(r) for r in range(1, n_replicates+1)]:\n", + " folder = os.path.join(data_dir, 'logs', '-'.join(map(str, iexprs)))\n", + " os.makedirs(folder, exist_ok=True)\n", + " g = max(Gs[_] for _ in iexprs)\n", + " scaling = [G / g * K / YT.sum(1).mean() for G, YT in zip(Gs, YTs)]\n", + " print(scaling)\n", + " \n", + " with open('{}/H_0.pkl'.format(folder), 'wb') as f:\n", + " pkl.dump(\n", + " (\n", + " [XTs[_] * scaling[_] * M[:g].sum(0) for _ in iexprs],\n", + " ),\n", + " f, protocol=2,\n", + " )\n", + " \n", + " with open('{}/Theta_0.pkl'.format(folder), 'wb') as f:\n", + " pkl.dump(\n", + " (\n", + " M[:g] / M[:g].sum(0, keepdims=True),\n", + " [sigma_yx_invs[_]/scaling[_] for _ in iexprs],\n", + " Sig_x_inv,\n", + " delta_x,\n", + " [prior_xs[_] for _ in iexprs],\n", + " ),\n", + " f, protocol=2,\n", + " )\n", + " \n", + " with open('{}/Q_0.pkl'.format(folder), 'wb') as f:\n", + " pkl.dump(\n", + " 0.,\n", + " f, protocol=2,\n", + " )\n", + "\n", + "class Dataset:\n", + " def __init__(self, setting, dir_suffix=''):\n", + " self.K = 10 + setting['n_noise_metagenes']\n", + " self.N = setting['n_cells']\n", + " self.colors = {0: 'darkkhaki', 1: 'mediumspringgreen', 2: 'greenyellow', 3: '#95bfa6',\n", + " 4: 'violet', 5: 'firebrick',\n", + " 6: 'deepskyblue', 7: 'darkslateblue'}\n", + " print('Creating M...')\n", + " self.M = generate_synthetic_cortex_metagenes(G=setting['n_genes'],\n", + " lambda_m1=setting['lambda_m1'], lambda_m2=setting['lambda_m2'])\n", + " print('Creating X, A, and p...')\n", + " self.X = []\n", + " self.p = []\n", + " self.A = []\n", + " self.C = []\n", + " self.n_replicates = setting['n_replicates']\n", + " dist_min = 0.75/np.sqrt(setting['n_cells'])\n", + " tau = dist_min * 2.2\n", + " for r in range(setting['n_replicates']):\n", + " valid_A = False\n", + " while not valid_A:\n", + " p_temp = generate_2d_points(setting['n_cells'], dist_min)\n", + " A_temp = generate_affinity_mat(p_temp, tau)\n", + " try:\n", + " X_temp, C_temp = generate_synthetic_cortex_replicate(p_temp, sigX_scale=setting['sigX_scale'])\n", + " valid_A = True\n", + " except ValueError as e:\n", + " print(e)\n", + " self.S = gamma.rvs(self.K, scale=setting['lambda_s'], size=self.N)\n", + " self.A.append(A_temp)\n", + " self.p.append(p_temp)\n", + " self.X.append(X_temp * self.S)\n", + " self.C.append(C_temp)\n", + "\n", + " print('Creating Y...')\n", + " self.sig_y = float(setting['sigY_scale'])/setting['n_genes']\n", + " self.Y = []\n", + " for r in range(setting['n_replicates']):\n", + " self.Y.append(np.matmul(self.M, self.X[r]))\n", + " Sig_y = (self.sig_y**2)*np.identity(setting['n_genes'])\n", + " for i in range(self.N):\n", + " self.Y[r][:, i] = sample_gaussian(Sig_y, self.Y[r][:, i])\n", + " if setting['gene_replace_prob'] > 0 and setting['element_replace_prob'] > 0:\n", + " self.Y[r] = perturb_genes(self.Y[r], self.K, g1=setting['gene_replace_prob'],\n", + " g2=setting['element_replace_prob'], shape=self.K)\n", + " # gene_ind variable is just all genes -- we don't remove any\n", + " self.gene_ind = range(setting['n_genes'])\n", + " # create empty Sig_x_inverse, since it is not used in this data generation\n", + " self.Sig_x_inv = np.zeros((self.K, self.K))\n", + "\n", + " self.data_dir = os.path.join(data_dir_main, 'synthetic_' + str(setting['n_cells']) + '_' + str(setting['n_genes']) + \\\n", + " '_' + str(int(setting['sigY_scale']*10)) + '_' + str(int(setting['sigX_scale']*10)) + \\\n", + " '_' + str(int(setting['gene_replace_prob']*100)) + '_' + str(int(setting['element_replace_prob']*100)) + \\\n", + " '_' + dir_suffix)\n", + " print('Finished')\n", + "\n", + " def init_data_dir(self):\n", + " if not os.path.exists(self.data_dir):\n", + " os.mkdir(self.data_dir)\n", + " if not os.path.exists(os.path.join(self.data_dir, 'files')):\n", + " os.mkdir(os.path.join(self.data_dir, 'files'))\n", + " if not os.path.exists(os.path.join(self.data_dir, 'logs')):\n", + " os.mkdir(os.path.join(self.data_dir, 'logs'))\n", + " if not os.path.exists(os.path.join(self.data_dir, 'scripts')):\n", + " os.mkdir(os.path.join(self.data_dir, 'scripts'))\n", + " if not os.path.exists(os.path.join(self.data_dir, 'plots')):\n", + " os.mkdir(os.path.join(self.data_dir, 'plots'))\n", + "\n", + " def save_pickle(self):\n", + " self.init_data_dir()\n", + " filename = 'synth.pkl'\n", + " filename_full = os.path.join(self.data_dir, 'files', filename)\n", + " f_out = open(filename_full, 'wb')\n", + " pkl.dump([self.X, self.Y, self.A, self.p, self.M, self.sig_y, self.Sig_x_inv, self.gene_ind], f_out)\n", + " f_out.close()\n", + " filename_prefix = filename.split('.pkl')[0]\n", + " filename_full = os.path.join(self.data_dir, 'files', filename_prefix + '-C.pkl')\n", + " f_out_C = open(filename_full, 'wb')\n", + " pkl.dump([self.C], f_out_C)\n", + " f_out_C.close()\n", + "\n", + " def reformat(self):\n", + " reformat(self.X, self.Y, self.A, self.p, self.M, self.sig_y, self.Sig_x_inv, self.gene_ind, self.n_replicates, self.data_dir)\n", + "\n", + " def plot_latent_space(self, replicate=0, cell_types=None, save_figure=False):\n", + " if not cell_types:\n", + " plot_UMAP(self.X[replicate], self.C[replicate], os.path.join(self.data_dir, 'plots'), self.colors, save_figure=False)\n", + " else:\n", + " X = self.X[replicate]\n", + " C = self.C[replicate]\n", + " ind = [C[i] in cell_types for i in range(len(C))]\n", + " plot_UMAP(X[:, ind], C[ind], os.path.join(self.data_dir, 'plots'), self.colors, save_figure=False)\n", + "\n", + " def plot_expression_space(self, replicate=0, cell_types=None, save_figure=False):\n", + " if not cell_types:\n", + " plot_UMAP(self.Y[replicate], self.C[replicate], os.path.join(self.data_dir, 'plots'), self.colors, save_figure=False)\n", + " else:\n", + " Y = self.Y[replicate]\n", + " C = self.C[replicate]\n", + " ind = [C[i] in cell_types for i in range(len(C))]\n", + " plot_UMAP(Y[:, ind], C[ind], os.path.join(self.data_dir, 'plots'), self.colors, save_figure=False)\n", + "\n", + " def plot_metagenes(self, save_figure=False):\n", + " plot_metagenes(self.M, order_genes=True)\n", + "\n", + " def plot_expression(self, replicate=0, save_figure=False):\n", + " plot_expression(self.Y[replicate], os.path.join(self.data_dir, 'plots'), order_genes=True, C=self.C[replicate], save_figure=False)\n", + "\n", + " def plot_cell_types(self, replicate=0, save_figure=False):\n", + " plot_cell_types(self.p[replicate], self.C[replicate], self.colors)\n", + "\n", + " def plot_metagenes_in_situ(self, replicate=0, save_figure=False):\n", + " plot_metagene_expression(self.X[replicate], self.p[replicate], os.path.join(self.data_dir, 'plots'), save_figure=False)\n", + "\n", + " def plot_hidden_states(self, replicate=0, save_figure=False):\n", + " plot_membership(self.X[replicate], self.C[replicate])" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Main" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating M...\n", + "Creating X, A, and p...\n", + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.9851733693178593 ~ 1.0\n", + "mean Yig = 0.12795267747744968 ~ 0.13\n", + "mean power Yig = 0.019898682199465105\n", + "mean |Yi| = 12.795267747744969 ~ 13.0\n", + "RMSE Y = 0.019969466426962332 ~ 0.02\n", + "SNR = 49.74670549866276\n", + "SNR (dB) = 25.206498791595884\n", + "G = 100\n", + "mean Xik = 0.9901376479214492 ~ 1.0\n", + "mean Yig = 0.12884959942540797 ~ 0.13\n", + "mean power Yig = 0.01994767055987446\n", + "mean |Yi| = 12.884959942540794 ~ 13.0\n", + "RMSE Y = 0.019861675911919566 ~ 0.02\n", + "SNR = 49.86917639968615\n", + "SNR (dB) = 25.23108743356633\n", + "G = 100\n", + "mean Xik = 1.0008195161298556 ~ 1.0\n", + "mean Yig = 0.1299589210288484 ~ 0.13\n", + "mean power Yig = 0.020452791777876005\n", + "mean |Yi| = 12.995892102884838 ~ 13.0\n", + "RMSE Y = 0.020011470643211054 ~ 0.02\n", + "SNR = 51.13197944469001\n", + "SNR (dB) = 25.48115761180993\n", + "G = 100\n", + "mean Xik = 1.0072283656534022 ~ 1.0\n", + "mean Yig = 0.13084037363689893 ~ 0.13\n", + "mean power Yig = 0.02073780238041253\n", + "mean |Yi| = 13.084037363689891 ~ 13.0\n", + "RMSE Y = 0.019880673811364907 ~ 0.02\n", + "SNR = 51.84450595103132\n", + "SNR (dB) = 25.619546074984584\n", + "G = 100\n", + "mean Xik = 0.9979670695235164 ~ 1.0\n", + "mean Yig = 0.12962717601316673 ~ 0.13\n", + "mean power Yig = 0.02050433393660267\n", + "mean |Yi| = 12.962717601316672 ~ 13.0\n", + "RMSE Y = 0.01998948237871279 ~ 0.02\n", + "SNR = 51.26083484150667\n", + "SNR (dB) = 25.5063264609595\n", + "G = 100\n", + "mean Xik = 0.9931789773286004 ~ 1.0\n", + "mean Yig = 0.12906599577137318 ~ 0.13\n", + "mean power Yig = 0.020153164313091276\n", + "mean |Yi| = 12.906599577137316 ~ 13.0\n", + "RMSE Y = 0.019960628439710103 ~ 0.02\n", + "SNR = 50.38291078272819\n", + "SNR (dB) = 25.333576846883354\n", + "G = 100\n", + "mean Xik = 0.9914637798296703 ~ 1.0\n", + "mean Yig = 0.12885046634383568 ~ 0.13\n", + "mean power Yig = 0.020041293409550187\n", + "mean |Yi| = 12.885046634383569 ~ 13.0\n", + "RMSE Y = 0.020041095637616062 ~ 0.02\n", + "SNR = 50.10323352387547\n", + "SNR (dB) = 25.27791186282942\n", + "G = 100\n", + "mean Xik = 0.9915318280610664 ~ 1.0\n", + "mean Yig = 0.1287608036993923 ~ 0.13\n", + "mean power Yig = 0.020144679820358204\n", + "mean |Yi| = 12.876080369939231 ~ 13.0\n", + "RMSE Y = 0.02006009986586164 ~ 0.02\n", + "SNR = 50.36169955089551\n", + "SNR (dB) = 25.32936595518883\n", + "G = 100\n", + "mean Xik = 1.010034540080168 ~ 1.0\n", + "mean Yig = 0.13112794912366457 ~ 0.13\n", + "mean power Yig = 0.020826385788000945\n", + "mean |Yi| = 13.112794912366455 ~ 13.0\n", + "RMSE Y = 0.02000392233795173 ~ 0.02\n", + "SNR = 52.06596447000236\n", + "SNR (dB) = 25.662171010350097\n", + "G = 100\n", + "mean Xik = 0.994740154413599 ~ 1.0\n", + "mean Yig = 0.1294178910729379 ~ 0.13\n", + "mean power Yig = 0.020067000446034627\n", + "mean |Yi| = 12.941789107293792 ~ 13.0\n", + "RMSE Y = 0.01989287292731474 ~ 0.02\n", + "SNR = 50.167501115086566\n", + "SNR (dB) = 25.290730677859152\n", + "G = 100\n", + "mean Xik = 1.0067322720436485 ~ 1.0\n", + "mean Yig = 0.13085424650385133 ~ 0.13\n", + "mean power Yig = 0.02077293069872754\n", + "mean |Yi| = 13.085424650385134 ~ 13.0\n", + "RMSE Y = 0.0199840841848105 ~ 0.02\n", + "SNR = 51.932326746818845\n", + "SNR (dB) = 25.636471011787584\n", + "G = 100\n", + "mean Xik = 1.0229152413319669 ~ 1.0\n", + "mean Yig = 0.1328719194649332 ~ 0.13\n", + "mean power Yig = 0.02142839805286296\n", + "mean |Yi| = 13.28719194649332 ~ 13.0\n", + "RMSE Y = 0.020116907879906228 ~ 0.02\n", + "SNR = 53.57099513215739\n", + "SNR (dB) = 25.9471342489608\n", + "G = 100\n", + "mean Xik = 1.0087753299545603 ~ 1.0\n", + "mean Yig = 0.1311612591734454 ~ 0.13\n", + "mean power Yig = 0.02088266897868963\n", + "mean |Yi| = 13.11612591734454 ~ 13.0\n", + "RMSE Y = 0.01993354433851347 ~ 0.02\n", + "SNR = 52.20667244672407\n", + "SNR (dB) = 25.689159502497144\n", + "G = 100\n", + "mean Xik = 1.0038633135413524 ~ 1.0\n", + "mean Yig = 0.13046801294824564 ~ 0.13\n", + "mean power Yig = 0.02052506454144061\n", + "mean |Yi| = 13.046801294824565 ~ 13.0\n", + "RMSE Y = 0.020036748474641104 ~ 0.02\n", + "SNR = 51.31266135360152\n", + "SNR (dB) = 25.516431706159786\n", + "G = 100\n", + "mean Xik = 1.006735726077294 ~ 1.0\n", + "mean Yig = 0.13095064200287956 ~ 0.13\n", + "mean power Yig = 0.020605622516241807\n", + "mean |Yi| = 13.095064200287958 ~ 13.0\n", + "RMSE Y = 0.020084554796458886 ~ 0.02\n", + "SNR = 51.514056290604515\n", + "SNR (dB) = 25.55560346990728\n", + "G = 100\n", + "mean Xik = 0.992312315315808 ~ 1.0\n", + "mean Yig = 0.12886967498678795 ~ 0.13\n", + "mean power Yig = 0.020140474317529335\n", + "mean |Yi| = 12.886967498678795 ~ 13.0\n", + "RMSE Y = 0.020001679610921096 ~ 0.02\n", + "SNR = 50.35118579382333\n", + "SNR (dB) = 25.327278087866915\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n", + "[1.0160006227529794, 1.008928243314082, 1.000316091968342, 0.9935771076347499, 1.0028761251945766, 1.0072366406274922, 1.0089214551470602, 1.0096240180629872, 0.9913981029124401, 1.004497901505241, 0.993471770869689, 0.9783858058459739, 0.991146324907496, 0.9964128146227589, 0.9927404555766999, 1.008771070566663]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating M...\n", + "Creating X, A, and p...\n", + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.9941504650174681 ~ 1.0\n", + "mean Yig = 0.12930309622002822 ~ 0.13\n", + "mean power Yig = 0.02051640492476593\n", + "mean |Yi| = 12.930309622002824 ~ 13.0\n", + "RMSE Y = 0.019995063460707115 ~ 0.02\n", + "SNR = 51.29101231191482\n", + "SNR (dB) = 25.512211771096144\n", + "G = 100\n", + "mean Xik = 0.986170462896021 ~ 1.0\n", + "mean Yig = 0.12808911045046534 ~ 0.13\n", + "mean power Yig = 0.019908385167377998\n", + "mean |Yi| = 12.808911045046534 ~ 13.0\n", + "RMSE Y = 0.020036420152390877 ~ 0.02\n", + "SNR = 49.770962918444994\n", + "SNR (dB) = 25.211373789302016\n", + "G = 100\n", + "mean Xik = 1.0023231873423382 ~ 1.0\n", + "mean Yig = 0.13028224332807165 ~ 0.13\n", + "mean power Yig = 0.020627773316146732\n", + "mean |Yi| = 13.028224332807163 ~ 13.0\n", + "RMSE Y = 0.019865875672613685 ~ 0.02\n", + "SNR = 51.56943329036683\n", + "SNR (dB) = 25.566347577487356\n", + "G = 100\n", + "mean Xik = 1.005890332695729 ~ 1.0\n", + "mean Yig = 0.13060023335571944 ~ 0.13\n", + "mean power Yig = 0.020672615463069675\n", + "mean |Yi| = 13.060023335571945 ~ 13.0\n", + "RMSE Y = 0.020048516708608303 ~ 0.02\n", + "SNR = 51.68153865767418\n", + "SNR (dB) = 25.588062706990684\n", + "G = 100\n", + "mean Xik = 1.0037148153416113 ~ 1.0\n", + "mean Yig = 0.1303805999254002 ~ 0.13\n", + "mean power Yig = 0.02064470740845266\n", + "mean |Yi| = 13.038059992540019 ~ 13.0\n", + "RMSE Y = 0.019982727813093872 ~ 0.02\n", + "SNR = 51.611768521131644\n", + "SNR (dB) = 25.5745535747809\n", + "G = 100\n", + "mean Xik = 1.0201580154272751 ~ 1.0\n", + "mean Yig = 0.13270050819872184 ~ 0.13\n", + "mean power Yig = 0.021212794753819705\n", + "mean |Yi| = 13.270050819872187 ~ 13.0\n", + "RMSE Y = 0.02002075607139876 ~ 0.02\n", + "SNR = 53.03198688454926\n", + "SNR (dB) = 25.84600896507155\n", + "G = 100\n", + "mean Xik = 0.9740873082884847 ~ 1.0\n", + "mean Yig = 0.12674708478011326 ~ 0.13\n", + "mean power Yig = 0.019578723026880945\n", + "mean |Yi| = 12.674708478011325 ~ 13.0\n", + "RMSE Y = 0.019973784766610755 ~ 0.02\n", + "SNR = 48.946807567202356\n", + "SNR (dB) = 25.044397874908558\n", + "G = 100\n", + "mean Xik = 1.0027344565858343 ~ 1.0\n", + "mean Yig = 0.1303564575476251 ~ 0.13\n", + "mean power Yig = 0.02055083396684862\n", + "mean |Yi| = 13.035645754762509 ~ 13.0\n", + "RMSE Y = 0.020026880773742147 ~ 0.02\n", + "SNR = 51.37708491712154\n", + "SNR (dB) = 25.528978932014677\n", + "G = 100\n", + "mean Xik = 0.9935999376441537 ~ 1.0\n", + "mean Yig = 0.12917848284927516 ~ 0.13\n", + "mean power Yig = 0.02031027654990989\n", + "mean |Yi| = 12.917848284927517 ~ 13.0\n", + "RMSE Y = 0.020033743238301316 ~ 0.02\n", + "SNR = 50.77569137477472\n", + "SNR (dB) = 25.41123362694519\n", + "G = 100\n", + "mean Xik = 0.9802765529546877 ~ 1.0\n", + "mean Yig = 0.12732569890082635 ~ 0.13\n", + "mean power Yig = 0.019521485303739886\n", + "mean |Yi| = 12.732569890082633 ~ 13.0\n", + "RMSE Y = 0.01997228630173442 ~ 0.02\n", + "SNR = 48.80371325934971\n", + "SNR (dB) = 25.01512040224526\n", + "G = 100\n", + "mean Xik = 1.0035826998810733 ~ 1.0\n", + "mean Yig = 0.13039159433360925 ~ 0.13\n", + "mean power Yig = 0.020837379915139873\n", + "mean |Yi| = 13.039159433360929 ~ 13.0\n", + "RMSE Y = 0.01993886280412159 ~ 0.02\n", + "SNR = 52.09344978784968\n", + "SNR (dB) = 25.66744855893869\n", + "G = 100\n", + "mean Xik = 0.996338022869758 ~ 1.0\n", + "mean Yig = 0.12964788497539725 ~ 0.13\n", + "mean power Yig = 0.02046703170112788\n", + "mean |Yi| = 12.964788497539725 ~ 13.0\n", + "RMSE Y = 0.02002849279356012 ~ 0.02\n", + "SNR = 51.1675792528197\n", + "SNR (dB) = 25.48811752640194\n", + "G = 100\n", + "mean Xik = 1.0096201129083955 ~ 1.0\n", + "mean Yig = 0.13124544723293763 ~ 0.13\n", + "mean power Yig = 0.02074614198936198\n", + "mean |Yi| = 13.124544723293766 ~ 13.0\n", + "RMSE Y = 0.019895112203114945 ~ 0.02\n", + "SNR = 51.86535497340495\n", + "SNR (dB) = 25.623566719206575\n", + "G = 100\n", + "mean Xik = 0.9947856958403083 ~ 1.0\n", + "mean Yig = 0.12926823213485386 ~ 0.13\n", + "mean power Yig = 0.020127586010126184\n", + "mean |Yi| = 12.926823213485386 ~ 13.0\n", + "RMSE Y = 0.019924486244832125 ~ 0.02\n", + "SNR = 50.31896502531546\n", + "SNR (dB) = 25.320876832013823\n", + "G = 100\n", + "mean Xik = 1.0052506367037013 ~ 1.0\n", + "mean Yig = 0.13063325190502129 ~ 0.13\n", + "mean power Yig = 0.0208331509134492\n", + "mean |Yi| = 13.063325190502129 ~ 13.0\n", + "RMSE Y = 0.019959978927270604 ~ 0.02\n", + "SNR = 52.082877283623\n", + "SNR (dB) = 25.665418826357367\n", + "G = 100\n", + "mean Xik = 0.9852876646944465 ~ 1.0\n", + "mean Yig = 0.12819297352957076 ~ 0.13\n", + "mean power Yig = 0.019973094208239582\n", + "mean |Yi| = 12.819297352957078 ~ 13.0\n", + "RMSE Y = 0.019979570654369633 ~ 0.02\n", + "SNR = 49.93273552059895\n", + "SNR (dB) = 25.243824490058067\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n", + "[1.005389691355773, 1.014918438755757, 0.997833600950815, 0.995404040710367, 0.9970808546239398, 0.9796496016829279, 1.025664615683509, 0.997265516765866, 1.006359551007294, 1.021003623952276, 0.9969967823799486, 1.002715933427449, 0.990510549057544, 1.0056608484007328, 0.9951524447582327, 1.0140961428748854]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating M...\n", + "Creating X, A, and p...\n", + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.015456357112602 ~ 1.0\n", + "mean Yig = 0.13196715387736604 ~ 0.13\n", + "mean power Yig = 0.02122296420302888\n", + "mean |Yi| = 13.196715387736605 ~ 13.0\n", + "RMSE Y = 0.019983449521186004 ~ 0.02\n", + "SNR = 53.05741050757219\n", + "SNR (dB) = 25.850801832998897\n", + "G = 100\n", + "mean Xik = 0.9902288515898848 ~ 1.0\n", + "mean Yig = 0.1286537931501327 ~ 0.13\n", + "mean power Yig = 0.020107811422122673\n", + "mean |Yi| = 12.86537931501327 ~ 13.0\n", + "RMSE Y = 0.0200370304792769 ~ 0.02\n", + "SNR = 50.26952855530668\n", + "SNR (dB) = 25.31104738289308\n", + "G = 100\n", + "mean Xik = 1.0177961712003463 ~ 1.0\n", + "mean Yig = 0.1322716839282662 ~ 0.13\n", + "mean power Yig = 0.021027666620874543\n", + "mean |Yi| = 13.227168392826618 ~ 13.0\n", + "RMSE Y = 0.020011499084283773 ~ 0.02\n", + "SNR = 52.56916655218635\n", + "SNR (dB) = 25.75835399528082\n", + "G = 100\n", + "mean Xik = 0.9903698078969733 ~ 1.0\n", + "mean Yig = 0.1286793684870021 ~ 0.13\n", + "mean power Yig = 0.020121856201751335\n", + "mean |Yi| = 12.867936848700207 ~ 13.0\n", + "RMSE Y = 0.020098405960638954 ~ 0.02\n", + "SNR = 50.304640504378334\n", + "SNR (dB) = 25.318029682787063\n", + "G = 100\n", + "mean Xik = 1.0011657706603512 ~ 1.0\n", + "mean Yig = 0.13021062802178074 ~ 0.13\n", + "mean power Yig = 0.020476522477220375\n", + "mean |Yi| = 13.021062802178072 ~ 13.0\n", + "RMSE Y = 0.019947586079020502 ~ 0.02\n", + "SNR = 51.191306193050934\n", + "SNR (dB) = 25.4927535559079\n", + "G = 100\n", + "mean Xik = 0.9968204903330077 ~ 1.0\n", + "mean Yig = 0.1295979544835463 ~ 0.13\n", + "mean power Yig = 0.020332922134199533\n", + "mean |Yi| = 12.959795448354631 ~ 13.0\n", + "RMSE Y = 0.019952553170135837 ~ 0.02\n", + "SNR = 50.83230533549883\n", + "SNR (dB) = 25.422377231467603\n", + "G = 100\n", + "mean Xik = 0.9994098366956868 ~ 1.0\n", + "mean Yig = 0.12993222747870883 ~ 0.13\n", + "mean power Yig = 0.020427418522058396\n", + "mean |Yi| = 12.993222747870886 ~ 13.0\n", + "RMSE Y = 0.020063680355886532 ~ 0.02\n", + "SNR = 51.068546305145986\n", + "SNR (dB) = 25.46874414383133\n", + "G = 100\n", + "mean Xik = 0.9873908663642094 ~ 1.0\n", + "mean Yig = 0.1283875869216836 ~ 0.13\n", + "mean power Yig = 0.020030577064095074\n", + "mean |Yi| = 12.838758692168355 ~ 13.0\n", + "RMSE Y = 0.020042098054505738 ~ 0.02\n", + "SNR = 50.07644266023768\n", + "SNR (dB) = 25.272563300067606\n", + "G = 100\n", + "mean Xik = 0.9886336757887356 ~ 1.0\n", + "mean Yig = 0.1284536221494965 ~ 0.13\n", + "mean power Yig = 0.020072227300350267\n", + "mean |Yi| = 12.845362214949647 ~ 13.0\n", + "RMSE Y = 0.01998619627731604 ~ 0.02\n", + "SNR = 50.180568250875666\n", + "SNR (dB) = 25.293335040044795\n", + "G = 100\n", + "mean Xik = 0.99900329154123 ~ 1.0\n", + "mean Yig = 0.12984751827468724 ~ 0.13\n", + "mean power Yig = 0.02043955261934935\n", + "mean |Yi| = 12.984751827468724 ~ 13.0\n", + "RMSE Y = 0.020011126954644527 ~ 0.02\n", + "SNR = 51.09888154837337\n", + "SNR (dB) = 25.474682483428627\n", + "G = 100\n", + "mean Xik = 0.9987810626456768 ~ 1.0\n", + "mean Yig = 0.1299537616522584 ~ 0.13\n", + "mean power Yig = 0.020474338839568097\n", + "mean |Yi| = 12.995376165225839 ~ 13.0\n", + "RMSE Y = 0.01999006164599353 ~ 0.02\n", + "SNR = 51.18584709892024\n", + "SNR (dB) = 25.491687088642433\n", + "G = 100\n", + "mean Xik = 0.9906274996788517 ~ 1.0\n", + "mean Yig = 0.12856274810432022 ~ 0.13\n", + "mean power Yig = 0.01996909831315079\n", + "mean |Yi| = 12.856274810432023 ~ 13.0\n", + "RMSE Y = 0.01993799976059551 ~ 0.02\n", + "SNR = 49.92274578287697\n", + "SNR (dB) = 25.241823650920363\n", + "G = 100\n", + "mean Xik = 0.9845078432692574 ~ 1.0\n", + "mean Yig = 0.12790840983775856 ~ 0.13\n", + "mean power Yig = 0.020022588138690074\n", + "mean |Yi| = 12.790840983775851 ~ 13.0\n", + "RMSE Y = 0.02001600457654128 ~ 0.02\n", + "SNR = 50.056470346725185\n", + "SNR (dB) = 25.268574139425496\n", + "G = 100\n", + "mean Xik = 0.9941371981368592 ~ 1.0\n", + "mean Yig = 0.12934110218036712 ~ 0.13\n", + "mean power Yig = 0.02025206529704461\n", + "mean |Yi| = 12.934110218036711 ~ 13.0\n", + "RMSE Y = 0.020076860472122187 ~ 0.02\n", + "SNR = 50.63016324261152\n", + "SNR (dB) = 25.382531490837003\n", + "G = 100\n", + "mean Xik = 1.0013958394069817 ~ 1.0\n", + "mean Yig = 0.13022238459775096 ~ 0.13\n", + "mean power Yig = 0.02047791202072455\n", + "mean |Yi| = 13.022238459775098 ~ 13.0\n", + "RMSE Y = 0.02003210005155182 ~ 0.02\n", + "SNR = 51.19478005181138\n", + "SNR (dB) = 25.493432136150425\n", + "G = 100\n", + "mean Xik = 1.0059526782444557 ~ 1.0\n", + "mean Yig = 0.13084162269621044 ~ 0.13\n", + "mean power Yig = 0.020762319929645764\n", + "mean |Yi| = 13.084162269621043 ~ 13.0\n", + "RMSE Y = 0.02012680924352705 ~ 0.02\n", + "SNR = 51.90579982411441\n", + "SNR (dB) = 25.631361727913248\n", + "[0.9850936098902756, 1.0104637944743404, 0.9828256217748149, 1.0102629623421826, 0.9983824052999307, 1.0031022520228492, 1.0005215990105476, 1.0125589483919502, 1.0120384137451868, 1.0011743137438345, 1.0003558061510012, 1.0111793806283103, 1.0163522489638837, 1.0050942647659988, 0.9982922705766915, 0.9935676226045858]\n", + "[0.9850936098902756, 1.0104637944743404, 0.9828256217748149, 1.0102629623421826, 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0.9983824052999307, 1.0031022520228492, 1.0005215990105476, 1.0125589483919502, 1.0120384137451868, 1.0011743137438345, 1.0003558061510012, 1.0111793806283103, 1.0163522489638837, 1.0050942647659988, 0.9982922705766915, 0.9935676226045858]\n", + "[0.9850936098902756, 1.0104637944743404, 0.9828256217748149, 1.0102629623421826, 0.9983824052999307, 1.0031022520228492, 1.0005215990105476, 1.0125589483919502, 1.0120384137451868, 1.0011743137438345, 1.0003558061510012, 1.0111793806283103, 1.0163522489638837, 1.0050942647659988, 0.9982922705766915, 0.9935676226045858]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.9850936098902756, 1.0104637944743404, 0.9828256217748149, 1.0102629623421826, 0.9983824052999307, 1.0031022520228492, 1.0005215990105476, 1.0125589483919502, 1.0120384137451868, 1.0011743137438345, 1.0003558061510012, 1.0111793806283103, 1.0163522489638837, 1.0050942647659988, 0.9982922705766915, 0.9935676226045858]\n", + "Creating M...\n", + "Creating X, A, and p...\n", + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.0115265260040904 ~ 1.0\n", + "mean Yig = 0.1314429809033971 ~ 0.13\n", + "mean power Yig = 0.02121498552546459\n", + "mean |Yi| = 13.144298090339708 ~ 13.0\n", + "RMSE Y = 0.020003995411437842 ~ 0.02\n", + "SNR = 53.037463813661475\n", + "SNR (dB) = 25.847041671299596\n", + "G = 100\n", + "mean Xik = 0.9914474453452811 ~ 1.0\n", + "mean Yig = 0.1287874398063406 ~ 0.13\n", + "mean power Yig = 0.02054328766645995\n", + "mean |Yi| = 12.878743980634063 ~ 13.0\n", + "RMSE Y = 0.019987420657960286 ~ 0.02\n", + "SNR = 51.35821916614987\n", + "SNR (dB) = 25.525306241044014\n", + "G = 100\n", + "mean Xik = 0.9996433823552673 ~ 1.0\n", + "mean Yig = 0.1299725390133158 ~ 0.13\n", + "mean power Yig = 0.02076470548783494\n", + "mean |Yi| = 12.997253901331577 ~ 13.0\n", + "RMSE Y = 0.019958202863643384 ~ 0.02\n", + "SNR = 51.91176371958735\n", + "SNR (dB) = 25.63251064631894\n", + "G = 100\n", + "mean Xik = 1.0171760928266314 ~ 1.0\n", + "mean Yig = 0.13227098786894284 ~ 0.13\n", + "mean power Yig = 0.02151397709373938\n", + "mean |Yi| = 13.227098786894283 ~ 13.0\n", + "RMSE Y = 0.02005384481251007 ~ 0.02\n", + "SNR = 53.78494273434845\n", + "SNR (dB) = 25.98699192049343\n", + "G = 100\n", + "mean Xik = 0.9929339768305697 ~ 1.0\n", + "mean Yig = 0.12901014473522132 ~ 0.13\n", + "mean power Yig = 0.020746554858841856\n", + "mean |Yi| = 12.90101447352213 ~ 13.0\n", + "RMSE Y = 0.019981857196408357 ~ 0.02\n", + "SNR = 51.86638714710464\n", + "SNR (dB) = 25.623765727471284\n", + "G = 100\n", + "mean Xik = 0.9976603466796009 ~ 1.0\n", + "mean Yig = 0.12963188397030995 ~ 0.13\n", + "mean power Yig = 0.020788925263109246\n", + "mean |Yi| = 12.963188397030995 ~ 13.0\n", + "RMSE Y = 0.02006053917888047 ~ 0.02\n", + "SNR = 51.972313157773115\n", + "SNR (dB) = 25.64416776391819\n", + "G = 100\n", + "mean Xik = 0.9870904961316841 ~ 1.0\n", + "mean Yig = 0.1282524025273378 ~ 0.13\n", + "mean power Yig = 0.020344229553839223\n", + "mean |Yi| = 12.825240252733781 ~ 13.0\n", + "RMSE Y = 0.020035571853400772 ~ 0.02\n", + "SNR = 50.860573884598054\n", + "SNR (dB) = 25.42793682424227\n", + "G = 100\n", + "mean Xik = 0.9874959006935917 ~ 1.0\n", + "mean Yig = 0.1284395621230328 ~ 0.13\n", + "mean power Yig = 0.020499502491522645\n", + "mean |Yi| = 12.843956212303278 ~ 13.0\n", + "RMSE Y = 0.0199119416410883 ~ 0.02\n", + "SNR = 51.24875622880661\n", + "SNR (dB) = 25.503969878979248\n", + "G = 100\n", + "mean Xik = 1.003214839842294 ~ 1.0\n", + "mean Yig = 0.13046431465825667 ~ 0.13\n", + "mean power Yig = 0.020964496301455533\n", + "mean |Yi| = 13.046431465825668 ~ 13.0\n", + "RMSE Y = 0.020022076519696546 ~ 0.02\n", + "SNR = 52.41124075363883\n", + "SNR (dB) = 25.728267254005814\n", + "G = 100\n", + "mean Xik = 0.9960992271440616 ~ 1.0\n", + "mean Yig = 0.12943296206540567 ~ 0.13\n", + "mean power Yig = 0.02072690279802832\n", + "mean |Yi| = 12.943296206540566 ~ 13.0\n", + "RMSE Y = 0.01996468018165114 ~ 0.02\n", + "SNR = 51.81725699507079\n", + "SNR (dB) = 25.614288792875207\n", + "G = 100\n", + "mean Xik = 1.0182977945605238 ~ 1.0\n", + "mean Yig = 0.1324614048500103 ~ 0.13\n", + "mean power Yig = 0.021619881559152544\n", + "mean |Yi| = 13.24614048500103 ~ 13.0\n", + "RMSE Y = 0.01987854792250093 ~ 0.02\n", + "SNR = 54.04970389788136\n", + "SNR (dB) = 26.036097046502533\n", + "G = 100\n", + "mean Xik = 0.9670861918887111 ~ 1.0\n", + "mean Yig = 0.12553891862537944 ~ 0.13\n", + "mean power Yig = 0.01946876910289598\n", + "mean |Yi| = 12.553891862537945 ~ 13.0\n", + "RMSE Y = 0.019852565790884368 ~ 0.02\n", + "SNR = 48.67192275723995\n", + "SNR (dB) = 24.9880796794965\n", + "G = 100\n", + "mean Xik = 1.0213496935612636 ~ 1.0\n", + "mean Yig = 0.13284905938080604 ~ 0.13\n", + "mean power Yig = 0.02170533487031204\n", + "mean |Yi| = 13.284905938080607 ~ 13.0\n", + "RMSE Y = 0.02009871836863886 ~ 0.02\n", + "SNR = 54.2633371757801\n", + "SNR (dB) = 26.07554447643524\n", + "G = 100\n", + "mean Xik = 1.0103599947572715 ~ 1.0\n", + "mean Yig = 0.13135696620809542 ~ 0.13\n", + "mean power Yig = 0.021183778241140174\n", + "mean |Yi| = 13.135696620809544 ~ 13.0\n", + "RMSE Y = 0.019948633686450702 ~ 0.02\n", + "SNR = 52.95944560285043\n", + "SNR (dB) = 25.832320822299465\n", + "G = 100\n", + "mean Xik = 0.9939755392082015 ~ 1.0\n", + "mean Yig = 0.12932156682099535 ~ 0.13\n", + "mean power Yig = 0.020599571941624813\n", + "mean |Yi| = 12.932156682099535 ~ 13.0\n", + "RMSE Y = 0.020038697308165494 ~ 0.02\n", + "SNR = 51.498929854062034\n", + "SNR (dB) = 25.552666668011263\n", + "G = 100\n", + "mean Xik = 0.9915176222313256 ~ 1.0\n", + "mean Yig = 0.12890322424098583 ~ 0.13\n", + "mean power Yig = 0.02066723394328507\n", + "mean |Yi| = 12.890322424098583 ~ 13.0\n", + "RMSE Y = 0.01998376377288148 ~ 0.02\n", + "SNR = 51.66808485821268\n", + "SNR (dB) = 25.585459156231654\n", + "[0.9890220010724073, 1.0094152053607302, 1.0002112829901817, 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0.9964410600747574, 1.0043809391792162, 0.9814179469650242, 1.0355354452903394, 0.97855416218914, 0.9896696288954654, 1.0052460946436237, 1.0085085207563447]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.9953041971442466 ~ 1.0\n", + "mean Yig = 0.12957322883331313 ~ 0.13\n", + "mean power Yig = 0.02032208748171206\n", + "mean |Yi| = 12.957322883331315 ~ 13.0\n", + "RMSE Y = 0.019967107930806905 ~ 0.02\n", + "SNR = 50.80521870428015\n", + "SNR (dB) = 25.41704718587355\n", + "G = 100\n", + "mean Xik = 1.004551856692864 ~ 1.0\n", + "mean Yig = 0.13061634054347762 ~ 0.13\n", + "mean power Yig = 0.020474250436057006\n", + "mean |Yi| = 13.06163405434776 ~ 13.0\n", + "RMSE Y = 0.01997302085087913 ~ 0.02\n", + "SNR = 51.18562609014251\n", + "SNR (dB) = 25.491643910836967\n", + "G = 100\n", + "mean Xik = 1.0005470990163836 ~ 1.0\n", + "mean Yig = 0.1301078870823946 ~ 0.13\n", + "mean power Yig = 0.020329256668874477\n", + "mean |Yi| = 13.01078870823946 ~ 13.0\n", + "RMSE Y = 0.01997942400939994 ~ 0.02\n", + "SNR = 50.82314167218619\n", + "SNR (dB) = 25.420574344636215\n", + "G = 100\n", + "mean Xik = 1.0175490847114887 ~ 1.0\n", + "mean Yig = 0.13231751211135626 ~ 0.13\n", + "mean power Yig = 0.020935326383551882\n", + "mean |Yi| = 13.231751211135624 ~ 13.0\n", + "RMSE Y = 0.019956156759389856 ~ 0.02\n", + "SNR = 52.338315958879704\n", + "SNR (dB) = 25.714343604335248\n", + "G = 100\n", + "mean Xik = 1.0082422922366185 ~ 1.0\n", + "mean Yig = 0.13110246273443465 ~ 0.13\n", + "mean power Yig = 0.02070902199052411\n", + "mean |Yi| = 13.110246273443467 ~ 13.0\n", + "RMSE Y = 0.0199862814899479 ~ 0.02\n", + "SNR = 51.772554976310275\n", + "SNR (dB) = 25.60565821025621\n", + "G = 100\n", + "mean Xik = 1.012155768741279 ~ 1.0\n", + "mean Yig = 0.1316543147030436 ~ 0.13\n", + "mean power Yig = 0.02062955763062705\n", + "mean |Yi| = 13.165431470304357 ~ 13.0\n", + "RMSE Y = 0.020102180476124408 ~ 0.02\n", + "SNR = 51.573894076567626\n", + "SNR (dB) = 25.567212545938048\n", + "G = 100\n", + "mean Xik = 0.9812657381383302 ~ 1.0\n", + "mean Yig = 0.12757269542923855 ~ 0.13\n", + "mean power Yig = 0.019619704359953836\n", + "mean |Yi| = 12.757269542923856 ~ 13.0\n", + "RMSE Y = 0.02001854779216038 ~ 0.02\n", + "SNR = 49.04926089988459\n", + "SNR (dB) = 25.06530756477945\n", + "G = 100\n", + "mean Xik = 0.985345938799202 ~ 1.0\n", + "mean Yig = 0.12810496306634586 ~ 0.13\n", + "mean power Yig = 0.019663174318111425\n", + "mean |Yi| = 12.810496306634588 ~ 13.0\n", + "RMSE Y = 0.02004679235642473 ~ 0.02\n", + "SNR = 49.15793579527856\n", + "SNR (dB) = 25.087439331780217\n", + "G = 100\n", + "mean Xik = 1.000460622793027 ~ 1.0\n", + "mean Yig = 0.13013730923778047 ~ 0.13\n", + "mean power Yig = 0.02028002277091355\n", + "mean |Yi| = 13.013730923778047 ~ 13.0\n", + "RMSE Y = 0.019903439544308392 ~ 0.02\n", + "SNR = 50.700056927283875\n", + "SNR (dB) = 25.396326723027283\n", + "G = 100\n", + "mean Xik = 1.007531033962083 ~ 1.0\n", + "mean Yig = 0.13091120068010073 ~ 0.13\n", + "mean power Yig = 0.020427795615403067\n", + "mean |Yi| = 13.091120068010076 ~ 13.0\n", + "RMSE Y = 0.019955079626769602 ~ 0.02\n", + "SNR = 51.06948903850767\n", + "SNR (dB) = 25.468928743693375\n", + "G = 100\n", + "mean Xik = 0.9779807757805496 ~ 1.0\n", + "mean Yig = 0.12699859360696614 ~ 0.13\n", + "mean power Yig = 0.019446895005776097\n", + "mean |Yi| = 12.699859360696614 ~ 13.0\n", + "RMSE Y = 0.02003787241199692 ~ 0.02\n", + "SNR = 48.61723751444024\n", + "SNR (dB) = 24.976837882690734\n", + "G = 100\n", + "mean Xik = 0.9953380773216869 ~ 1.0\n", + "mean Yig = 0.12928013358151647 ~ 0.13\n", + "mean power Yig = 0.020140810505360738\n", + "mean |Yi| = 12.928013358151645 ~ 13.0\n", + "RMSE Y = 0.01999236357050897 ~ 0.02\n", + "SNR = 50.35202626340184\n", + "SNR (dB) = 25.327445007980252\n", + "G = 100\n", + "mean Xik = 0.9992496000972141 ~ 1.0\n", + "mean Yig = 0.12991642710006499 ~ 0.13\n", + "mean power Yig = 0.0201517377606665\n", + "mean |Yi| = 12.991642710006493 ~ 13.0\n", + "RMSE Y = 0.019949059991314376 ~ 0.02\n", + "SNR = 50.37934440166625\n", + "SNR (dB) = 25.332868966525396\n", + "G = 100\n", + "mean Xik = 1.0028509014395406 ~ 1.0\n", + "mean Yig = 0.1303359904648748 ~ 0.13\n", + "mean power Yig = 0.020278393442213334\n", + "mean |Yi| = 13.03359904648748 ~ 13.0\n", + "RMSE Y = 0.02006311617816434 ~ 0.02\n", + "SNR = 50.695983605533335\n", + "SNR (dB) = 25.395523275134977\n", + "G = 100\n", + "mean Xik = 1.0267524211192298 ~ 1.0\n", + "mean Yig = 0.13353608524305494 ~ 0.13\n", + "mean power Yig = 0.021396465184709817\n", + "mean |Yi| = 13.353608524305494 ~ 13.0\n", + "RMSE Y = 0.020130119873393675 ~ 0.02\n", + "SNR = 53.49116296177454\n", + "SNR (dB) = 25.932221008540466\n", + "G = 100\n", + "mean Xik = 0.9953169634649611 ~ 1.0\n", + "mean Yig = 0.12939838328703146 ~ 0.13\n", + "mean power Yig = 0.020046075218714942\n", + "mean |Yi| = 12.939838328703146 ~ 13.0\n", + "RMSE Y = 0.01990459124793439 ~ 0.02\n", + "SNR = 50.11518804678735\n", + "SNR (dB) = 25.280297556553435\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "[1.0032936677624655, 0.9952812906799173, 0.9991707875301497, 0.9824852200258583, 0.9915908312365737, 0.9874344057255168, 1.019026834563575, 1.0147928455564417, 0.9989448895279556, 0.9930395514259517, 1.0236333829201494, 1.0055682679042843, 1.0006432820067526, 0.997422120600178, 0.9735196277723825, 1.0046493371685643]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.0158060408363605 ~ 1.0\n", + "mean Yig = 0.13204484864575045 ~ 0.13\n", + "mean power Yig = 0.02096705039915776\n", + "mean |Yi| = 13.204484864575045 ~ 13.0\n", + "RMSE Y = 0.020036977236568478 ~ 0.02\n", + "SNR = 52.4176259978944\n", + "SNR (dB) = 25.729485476516718\n", + "G = 100\n", + "mean Xik = 1.003037394260811 ~ 1.0\n", + "mean Yig = 0.13042726507911917 ~ 0.13\n", + "mean power Yig = 0.020654546844496854\n", + "mean |Yi| = 13.042726507911917 ~ 13.0\n", + "RMSE Y = 0.019996083903443505 ~ 0.02\n", + "SNR = 51.63636711124213\n", + "SNR (dB) = 25.5793185209807\n", + "G = 100\n", + "mean Xik = 1.0171577076878078 ~ 1.0\n", + "mean Yig = 0.13223991335330498 ~ 0.13\n", + "mean power Yig = 0.021093293167937788\n", + "mean |Yi| = 13.223991335330497 ~ 13.0\n", + "RMSE Y = 0.019962448533565408 ~ 0.02\n", + "SNR = 52.73323291984447\n", + "SNR (dB) = 25.789515013688565\n", + "G = 100\n", + "mean Xik = 0.995832393085914 ~ 1.0\n", + "mean Yig = 0.1294447580319387 ~ 0.13\n", + "mean power Yig = 0.02032033447962384\n", + "mean |Yi| = 12.94447580319387 ~ 13.0\n", + "RMSE Y = 0.01994052643370273 ~ 0.02\n", + "SNR = 50.800836199059596\n", + "SNR (dB) = 25.416184539404803\n", + "G = 100\n", + "mean Xik = 1.0164222070822884 ~ 1.0\n", + "mean Yig = 0.13204936678400958 ~ 0.13\n", + "mean power Yig = 0.02097971528603289\n", + "mean |Yi| = 13.20493667840096 ~ 13.0\n", + "RMSE Y = 0.01997280386217037 ~ 0.02\n", + "SNR = 52.44928821508223\n", + "SNR (dB) = 25.735524028978677\n", + "G = 100\n", + "mean Xik = 1.0050159105429533 ~ 1.0\n", + "mean Yig = 0.13065010277501352 ~ 0.13\n", + "mean power Yig = 0.020549129595386927\n", + "mean |Yi| = 13.065010277501354 ~ 13.0\n", + "RMSE Y = 0.019920460226863928 ~ 0.02\n", + "SNR = 51.37282398846732\n", + "SNR (dB) = 25.528149553438663\n", + "G = 100\n", + "mean Xik = 1.0030058755601803 ~ 1.0\n", + "mean Yig = 0.13024780667804184 ~ 0.13\n", + "mean power Yig = 0.02042403752377664\n", + "mean |Yi| = 13.024780667804183 ~ 13.0\n", + "RMSE Y = 0.020088626376589827 ~ 0.02\n", + "SNR = 51.0600938094416\n", + "SNR (dB) = 25.46708887931117\n", + "G = 100\n", + "mean Xik = 1.007228189030135 ~ 1.0\n", + "mean Yig = 0.1309647981936046 ~ 0.13\n", + "mean power Yig = 0.020730507919705654\n", + "mean |Yi| = 13.09647981936046 ~ 13.0\n", + "RMSE Y = 0.019998576886236942 ~ 0.02\n", + "SNR = 51.82626979926413\n", + "SNR (dB) = 25.61602798575967\n", + "G = 100\n", + "mean Xik = 0.9937234246102937 ~ 1.0\n", + "mean Yig = 0.1292913171679072 ~ 0.13\n", + "mean power Yig = 0.020213314694736594\n", + "mean |Yi| = 12.929131716790723 ~ 13.0\n", + "RMSE Y = 0.020011951830251642 ~ 0.02\n", + "SNR = 50.53328673684148\n", + "SNR (dB) = 25.3633790132568\n", + "G = 100\n", + "mean Xik = 0.9866935026188676 ~ 1.0\n", + "mean Yig = 0.12825877504123478 ~ 0.13\n", + "mean power Yig = 0.019900717364269425\n", + "mean |Yi| = 12.825877504123477 ~ 13.0\n", + "RMSE Y = 0.02005416679630796 ~ 0.02\n", + "SNR = 49.751793410673564\n", + "SNR (dB) = 25.207521502907312\n", + "G = 100\n", + "mean Xik = 0.9771595118203992 ~ 1.0\n", + "mean Yig = 0.12701333852852167 ~ 0.13\n", + "mean power Yig = 0.01949275940979725\n", + "mean |Yi| = 12.701333852852168 ~ 13.0\n", + "RMSE Y = 0.019927089134268505 ~ 0.02\n", + "SNR = 48.731898524493126\n", + "SNR (dB) = 25.000394550523875\n", + "G = 100\n", + "mean Xik = 0.9801903883541244 ~ 1.0\n", + "mean Yig = 0.1275404505871946 ~ 0.13\n", + "mean power Yig = 0.01953940766425371\n", + "mean |Yi| = 12.754045058719461 ~ 13.0\n", + "RMSE Y = 0.019921424197582825 ~ 0.02\n", + "SNR = 48.84851916063427\n", + "SNR (dB) = 25.024297028998884\n", + "G = 100\n", + "mean Xik = 1.0153247636171656 ~ 1.0\n", + "mean Yig = 0.13216145070048113 ~ 0.13\n", + "mean power Yig = 0.021018373177040247\n", + "mean |Yi| = 13.21614507004811 ~ 13.0\n", + "RMSE Y = 0.02005441403898049 ~ 0.02\n", + "SNR = 52.545932942600615\n", + "SNR (dB) = 25.75393339156627\n", + "G = 100\n", + "mean Xik = 1.0127983901484332 ~ 1.0\n", + "mean Yig = 0.13178381435029593 ~ 0.13\n", + "mean power Yig = 0.020878362917208227\n", + "mean |Yi| = 13.178381435029594 ~ 13.0\n", + "RMSE Y = 0.02004755822317394 ~ 0.02\n", + "SNR = 52.19590729302057\n", + "SNR (dB) = 25.68709726346656\n", + "G = 100\n", + "mean Xik = 1.0105761623696339 ~ 1.0\n", + "mean Yig = 0.13125671977991335 ~ 0.13\n", + "mean power Yig = 0.020932111218782298\n", + "mean |Yi| = 13.125671977991336 ~ 13.0\n", + "RMSE Y = 0.01996026482903038 ~ 0.02\n", + "SNR = 52.33027804695574\n", + "SNR (dB) = 25.712807725876935\n", + "G = 100\n", + "mean Xik = 0.996380110800866 ~ 1.0\n", + "mean Yig = 0.1296159130787706 ~ 0.13\n", + "mean power Yig = 0.020307828276786396\n", + "mean |Yi| = 12.961591307877061 ~ 13.0\n", + "RMSE Y = 0.01991469131695141 ~ 0.02\n", + "SNR = 50.76957069196599\n", + "SNR (dB) = 25.410028118644444\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "[0.9845139839477088, 0.9967241122562833, 0.9830617451531399, 1.0042894125378512, 0.9844802982860061, 0.9950240928923488, 0.9980974214893739, 0.9926331487016965, 1.0054812871244279, 1.013575873917441, 1.0235145497794127, 1.019284465449837, 0.9836453770064947, 0.9864640862074733, 0.9904254823522896, 1.0029632698031141]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.014346716638907 ~ 1.0\n", + "mean Yig = 0.1319654331029756 ~ 0.13\n", + "mean power Yig = 0.021054018079603297\n", + "mean |Yi| = 13.19654331029756 ~ 13.0\n", + "RMSE Y = 0.019998947928645566 ~ 0.02\n", + "SNR = 52.63504519900824\n", + "SNR (dB) = 25.770877953083684\n", + "G = 100\n", + "mean Xik = 1.0073563108413317 ~ 1.0\n", + "mean Yig = 0.1309457936363386 ~ 0.13\n", + "mean power Yig = 0.02098024683836547\n", + "mean |Yi| = 13.094579363633859 ~ 13.0\n", + "RMSE Y = 0.020033855010729643 ~ 0.02\n", + "SNR = 52.45061709591367\n", + "SNR (dB) = 25.73577739066238\n", + "G = 100\n", + "mean Xik = 0.997859329966429 ~ 1.0\n", + "mean Yig = 0.12963971659441137 ~ 0.13\n", + "mean power Yig = 0.02024051446421935\n", + "mean |Yi| = 12.963971659441135 ~ 13.0\n", + "RMSE Y = 0.020097036716168862 ~ 0.02\n", + "SNR = 50.601286160548376\n", + "SNR (dB) = 25.376826330431477\n", + "G = 100\n", + "mean Xik = 1.0033112499201935 ~ 1.0\n", + "mean Yig = 0.13045449822854807 ~ 0.13\n", + "mean power Yig = 0.020699884131707137\n", + "mean |Yi| = 13.04544982285481 ~ 13.0\n", + "RMSE Y = 0.020134862014950305 ~ 0.02\n", + "SNR = 51.74971032926784\n", + "SNR (dB) = 25.601244735078513\n", + "G = 100\n", + "mean Xik = 0.9929399476956577 ~ 1.0\n", + "mean Yig = 0.12899648079958517 ~ 0.13\n", + "mean power Yig = 0.020228358955685945\n", + "mean |Yi| = 12.899648079958515 ~ 13.0\n", + "RMSE Y = 0.020068373162825195 ~ 0.02\n", + "SNR = 50.57089738921486\n", + "SNR (dB) = 25.370818993003112\n", + "G = 100\n", + "mean Xik = 1.0118287817805356 ~ 1.0\n", + "mean Yig = 0.13132607617929784 ~ 0.13\n", + "mean power Yig = 0.02093384216704512\n", + "mean |Yi| = 13.132607617929782 ~ 13.0\n", + "RMSE Y = 0.020081000584409304 ~ 0.02\n", + "SNR = 52.33460541761279\n", + "SNR (dB) = 25.71363462607809\n", + "G = 100\n", + "mean Xik = 1.0028221937215187 ~ 1.0\n", + "mean Yig = 0.13018629013464356 ~ 0.13\n", + "mean power Yig = 0.02054242840113668\n", + "mean |Yi| = 13.018629013464357 ~ 13.0\n", + "RMSE Y = 0.01994968984991482 ~ 0.02\n", + "SNR = 51.3560710028417\n", + "SNR (dB) = 25.5248879616975\n", + "G = 100\n", + "mean Xik = 1.0019309158404706 ~ 1.0\n", + "mean Yig = 0.1303144955325113 ~ 0.13\n", + "mean power Yig = 0.02062704643674711\n", + "mean |Yi| = 13.031449553251129 ~ 13.0\n", + "RMSE Y = 0.020096741003504594 ~ 0.02\n", + "SNR = 51.56761609186778\n", + "SNR (dB) = 25.565995192285314\n", + "G = 100\n", + "mean Xik = 1.01398543067219 ~ 1.0\n", + "mean Yig = 0.13192783377546366 ~ 0.13\n", + "mean power Yig = 0.021162698503812943\n", + "mean |Yi| = 13.192783377546364 ~ 13.0\n", + "RMSE Y = 0.020062398878701405 ~ 0.02\n", + "SNR = 52.906746259532355\n", + "SNR (dB) = 25.82236498148874\n", + "G = 100\n", + "mean Xik = 0.9761283512012896 ~ 1.0\n", + "mean Yig = 0.12700952121384992 ~ 0.13\n", + "mean power Yig = 0.019586651270691414\n", + "mean |Yi| = 12.700952121384992 ~ 13.0\n", + "RMSE Y = 0.019921560960941356 ~ 0.02\n", + "SNR = 48.966628176728534\n", + "SNR (dB) = 25.048446473478574\n", + "G = 100\n", + "mean Xik = 0.9922724242558337 ~ 1.0\n", + "mean Yig = 0.12912090542565843 ~ 0.13\n", + "mean power Yig = 0.020262953859205787\n", + "mean |Yi| = 12.912090542565844 ~ 13.0\n", + "RMSE Y = 0.0200637069081524 ~ 0.02\n", + "SNR = 50.657384648014464\n", + "SNR (dB) = 25.387906565389642\n", + "G = 100\n", + "mean Xik = 0.9675894513113834 ~ 1.0\n", + "mean Yig = 0.12575809363314228 ~ 0.13\n", + "mean power Yig = 0.019236565137175057\n", + "mean |Yi| = 12.575809363314232 ~ 13.0\n", + "RMSE Y = 0.02006725411489174 ~ 0.02\n", + "SNR = 48.091412842937636\n", + "SNR (dB) = 24.86809272880098\n", + "G = 100\n", + "mean Xik = 0.9894114915801415 ~ 1.0\n", + "mean Yig = 0.1285694783317271 ~ 0.13\n", + "mean power Yig = 0.020166719938553956\n", + "mean |Yi| = 12.856947833172711 ~ 13.0\n", + "RMSE Y = 0.02008647619555733 ~ 0.02\n", + "SNR = 50.41679984638489\n", + "SNR (dB) = 25.340300887006496\n", + "G = 100\n", + "mean Xik = 1.0174348141396587 ~ 1.0\n", + "mean Yig = 0.1322910535382545 ~ 0.13\n", + "mean power Yig = 0.021298864654708486\n", + "mean |Yi| = 13.229105353825448 ~ 13.0\n", + "RMSE Y = 0.0200436385590728 ~ 0.02\n", + "SNR = 53.24716163677121\n", + "SNR (dB) = 25.886501394531642\n", + "G = 100\n", + "mean Xik = 1.025550170885156 ~ 1.0\n", + "mean Yig = 0.13325823570727088 ~ 0.13\n", + "mean power Yig = 0.02127662945808476\n", + "mean |Yi| = 13.325823570727087 ~ 13.0\n", + "RMSE Y = 0.01990848999906844 ~ 0.02\n", + "SNR = 53.191573645211896\n", + "SNR (dB) = 25.876056325550714\n", + "G = 100\n", + "mean Xik = 0.9909247858367136 ~ 1.0\n", + "mean Yig = 0.1288728190716842 ~ 0.13\n", + "mean power Yig = 0.02017506137315531\n", + "mean |Yi| = 12.887281907168422 ~ 13.0\n", + "RMSE Y = 0.019905779169111272 ~ 0.02\n", + "SNR = 50.437653432888276\n", + "SNR (dB) = 25.344436269455663\n", + "[0.9851064551014512, 0.9927772125390661, 1.0027791128756924, 0.996516040192406, 1.0077794308355896, 0.989902415286608, 0.9985690495178032, 0.9975866419831029, 0.9853872096562675, 1.023545311859848, 1.0068083055291748, 1.033730682807836, 1.0111264484140003, 0.9826817197612537, 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1.008746459776664]\n", + "[0.9851064551014512, 0.9927772125390661, 1.0027791128756924, 0.996516040192406, 1.0077794308355896, 0.989902415286608, 0.9985690495178032, 0.9975866419831029, 0.9853872096562675, 1.023545311859848, 1.0068083055291748, 1.033730682807836, 1.0111264484140003, 0.9826817197612537, 0.9755494608646309, 1.008746459776664]\n", + "[0.9851064551014512, 0.9927772125390661, 1.0027791128756924, 0.996516040192406, 1.0077794308355896, 0.989902415286608, 0.9985690495178032, 0.9975866419831029, 0.9853872096562675, 1.023545311859848, 1.0068083055291748, 1.033730682807836, 1.0111264484140003, 0.9826817197612537, 0.9755494608646309, 1.008746459776664]\n", + "[0.9851064551014512, 0.9927772125390661, 1.0027791128756924, 0.996516040192406, 1.0077794308355896, 0.989902415286608, 0.9985690495178032, 0.9975866419831029, 0.9853872096562675, 1.023545311859848, 1.0068083055291748, 1.033730682807836, 1.0111264484140003, 0.9826817197612537, 0.9755494608646309, 1.008746459776664]\n", + 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1.0027791128756924, 0.996516040192406, 1.0077794308355896, 0.989902415286608, 0.9985690495178032, 0.9975866419831029, 0.9853872096562675, 1.023545311859848, 1.0068083055291748, 1.033730682807836, 1.0111264484140003, 0.9826817197612537, 0.9755494608646309, 1.008746459776664]\n", + "[0.9851064551014512, 0.9927772125390661, 1.0027791128756924, 0.996516040192406, 1.0077794308355896, 0.989902415286608, 0.9985690495178032, 0.9975866419831029, 0.9853872096562675, 1.023545311859848, 1.0068083055291748, 1.033730682807836, 1.0111264484140003, 0.9826817197612537, 0.9755494608646309, 1.008746459776664]\n", + "[0.9851064551014512, 0.9927772125390661, 1.0027791128756924, 0.996516040192406, 1.0077794308355896, 0.989902415286608, 0.9985690495178032, 0.9975866419831029, 0.9853872096562675, 1.023545311859848, 1.0068083055291748, 1.033730682807836, 1.0111264484140003, 0.9826817197612537, 0.9755494608646309, 1.008746459776664]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.0066151507685712 ~ 1.0\n", + "mean Yig = 0.13091937579177546 ~ 0.13\n", + "mean power Yig = 0.021304159676723517\n", + "mean |Yi| = 13.091937579177545 ~ 13.0\n", + "RMSE Y = 0.020060812439528772 ~ 0.02\n", + "SNR = 53.26039919180879\n", + "SNR (dB) = 25.888987143900557\n", + "G = 100\n", + "mean Xik = 1.0095321970744136 ~ 1.0\n", + "mean Yig = 0.1312702066423484 ~ 0.13\n", + "mean power Yig = 0.021274893199841962\n", + "mean |Yi| = 13.127020664234838 ~ 13.0\n", + "RMSE Y = 0.019984727601278608 ~ 0.02\n", + "SNR = 53.1872329996049\n", + "SNR (dB) = 25.875240252171757\n", + "G = 100\n", + "mean Xik = 1.0066574325336843 ~ 1.0\n", + "mean Yig = 0.13093794475007187 ~ 0.13\n", + "mean power Yig = 0.020905324117866858\n", + "mean |Yi| = 13.093794475007185 ~ 13.0\n", + "RMSE Y = 0.020019226520385142 ~ 0.02\n", + "SNR = 52.26331029466714\n", + "SNR (dB) = 25.700002397653407\n", + "G = 100\n", + "mean Xik = 0.9791456770302165 ~ 1.0\n", + "mean Yig = 0.12730409044298385 ~ 0.13\n", + "mean power Yig = 0.020157024450016766\n", + "mean |Yi| = 12.730409044298385 ~ 13.0\n", + "RMSE Y = 0.019950985170882646 ~ 0.02\n", + "SNR = 50.392561125041915\n", + "SNR (dB) = 25.33549206338605\n", + "G = 100\n", + "mean Xik = 1.000944919299688 ~ 1.0\n", + "mean Yig = 0.1302017197746934 ~ 0.13\n", + "mean power Yig = 0.02072585629149385\n", + "mean |Yi| = 13.020171977469335 ~ 13.0\n", + "RMSE Y = 0.02003426943190155 ~ 0.02\n", + "SNR = 51.814640728734624\n", + "SNR (dB) = 25.61378387761375\n", + "G = 100\n", + "mean Xik = 1.0025047338427049 ~ 1.0\n", + "mean Yig = 0.1304254933145962 ~ 0.13\n", + "mean power Yig = 0.020748403305010762\n", + "mean |Yi| = 13.04254933145962 ~ 13.0\n", + "RMSE Y = 0.020050709657458775 ~ 0.02\n", + "SNR = 51.8710082625269\n", + "SNR (dB) = 25.624656653141255\n", + "G = 100\n", + "mean Xik = 0.9944644417257889 ~ 1.0\n", + "mean Yig = 0.1293440071217262 ~ 0.13\n", + "mean power Yig = 0.020604875462574675\n", + "mean |Yi| = 12.934400712172621 ~ 13.0\n", + "RMSE Y = 0.02005128162080301 ~ 0.02\n", + "SNR = 51.512188656436685\n", + "SNR (dB) = 25.555240914876958\n", + "G = 100\n", + "mean Xik = 1.0059687079755972 ~ 1.0\n", + "mean Yig = 0.13084514659204202 ~ 0.13\n", + "mean power Yig = 0.021246147300291545\n", + "mean |Yi| = 13.084514659204201 ~ 13.0\n", + "RMSE Y = 0.019989675375992954 ~ 0.02\n", + "SNR = 53.115368250728864\n", + "SNR (dB) = 25.86171946171529\n", + "G = 100\n", + "mean Xik = 1.0009244270330606 ~ 1.0\n", + "mean Yig = 0.13010929706416163 ~ 0.13\n", + "mean power Yig = 0.020866304148156968\n", + "mean |Yi| = 13.010929706416162 ~ 13.0\n", + "RMSE Y = 0.019876689031978232 ~ 0.02\n", + "SNR = 52.16576037039242\n", + "SNR (dB) = 25.681319869497745\n", + "G = 100\n", + "mean Xik = 1.003947362926099 ~ 1.0\n", + "mean Yig = 0.13060475724586695 ~ 0.13\n", + "mean power Yig = 0.020826002442625127\n", + "mean |Yi| = 13.060475724586697 ~ 13.0\n", + "RMSE Y = 0.02008746009370444 ~ 0.02\n", + "SNR = 52.06500610656281\n", + "SNR (dB) = 25.66198694149253\n", + "G = 100\n", + "mean Xik = 0.9937270497802534 ~ 1.0\n", + "mean Yig = 0.12912632490206377 ~ 0.13\n", + "mean power Yig = 0.020545121780555828\n", + "mean |Yi| = 12.912632490206379 ~ 13.0\n", + "RMSE Y = 0.019971540841914347 ~ 0.02\n", + "SNR = 51.362804451389565\n", + "SNR (dB) = 25.526199005753956\n", + "G = 100\n", + "mean Xik = 0.9872712189399453 ~ 1.0\n", + "mean Yig = 0.12821198774925 ~ 0.13\n", + "mean power Yig = 0.020235102741902884\n", + "mean |Yi| = 12.821198774924998 ~ 13.0\n", + "RMSE Y = 0.019948569858139573 ~ 0.02\n", + "SNR = 50.58775685475721\n", + "SNR (dB) = 25.374152265044827\n", + "G = 100\n", + "mean Xik = 1.0109131840806378 ~ 1.0\n", + "mean Yig = 0.13148947894928392 ~ 0.13\n", + "mean power Yig = 0.021057581406151767\n", + "mean |Yi| = 13.14894789492839 ~ 13.0\n", + "RMSE Y = 0.019844191883910813 ~ 0.02\n", + "SNR = 52.643953515379415\n", + "SNR (dB) = 25.772570278523936\n", + "G = 100\n", + "mean Xik = 0.9960731746995678 ~ 1.0\n", + "mean Yig = 0.12946464852902237 ~ 0.13\n", + "mean power Yig = 0.020653804576332018\n", + "mean |Yi| = 12.946464852902238 ~ 13.0\n", + "RMSE Y = 0.01994764184806586 ~ 0.02\n", + "SNR = 51.634511440830046\n", + "SNR (dB) = 25.578959141756215\n", + "G = 100\n", + "mean Xik = 0.9925736117494491 ~ 1.0\n", + "mean Yig = 0.12910939040884173 ~ 0.13\n", + "mean power Yig = 0.02043954569769619\n", + "mean |Yi| = 12.91093904088417 ~ 13.0\n", + "RMSE Y = 0.019948017655407765 ~ 0.02\n", + "SNR = 51.09886424424047\n", + "SNR (dB) = 25.474679097026556\n", + "G = 100\n", + "mean Xik = 1.0031473553426078 ~ 1.0\n", + "mean Yig = 0.13044241858070935 ~ 0.13\n", + "mean power Yig = 0.021043579524696116\n", + "mean |Yi| = 13.044241858070935 ~ 13.0\n", + "RMSE Y = 0.019999644529408684 ~ 0.02\n", + "SNR = 52.60894881174029\n", + "SNR (dB) = 25.765918736541572\n", + "[0.9929775421994244, 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1.0118380564289713 ~ 1.0\n", + "mean Yig = 0.13158380852134854 ~ 0.13\n", + "mean power Yig = 0.020904304602587555\n", + "mean |Yi| = 13.158380852134854 ~ 13.0\n", + "RMSE Y = 0.019998299011089737 ~ 0.02\n", + "SNR = 52.26076150646888\n", + "SNR (dB) = 25.69951470364095\n", + "G = 100\n", + "mean Xik = 1.0088508290543574 ~ 1.0\n", + "mean Yig = 0.13105234765752566 ~ 0.13\n", + "mean power Yig = 0.020819761631131768\n", + "mean |Yi| = 13.105234765752565 ~ 13.0\n", + "RMSE Y = 0.020095692032507134 ~ 0.02\n", + "SNR = 52.049404077829415\n", + "SNR (dB) = 25.658989848424902\n", + "G = 100\n", + "mean Xik = 1.0143945006366666 ~ 1.0\n", + "mean Yig = 0.13182700065881559 ~ 0.13\n", + "mean power Yig = 0.021084768504214743\n", + "mean |Yi| = 13.182700065881559 ~ 13.0\n", + "RMSE Y = 0.02007999917964259 ~ 0.02\n", + "SNR = 52.711921260536855\n", + "SNR (dB) = 25.785472787231893\n", + "G = 100\n", + "mean Xik = 1.0250996228570284 ~ 1.0\n", + "mean Yig = 0.13321479244669357 ~ 0.13\n", + "mean power Yig = 0.02148587794847655\n", + "mean |Yi| = 13.321479244669357 ~ 13.0\n", + "RMSE Y = 0.020062302503506685 ~ 0.02\n", + "SNR = 53.71469487119138\n", + "SNR (dB) = 25.97392250468497\n", + "G = 100\n", + "mean Xik = 1.0056961828551572 ~ 1.0\n", + "mean Yig = 0.13077597883679404 ~ 0.13\n", + "mean power Yig = 0.020657630950901795\n", + "mean |Yi| = 13.077597883679406 ~ 13.0\n", + "RMSE Y = 0.02001072516906356 ~ 0.02\n", + "SNR = 51.64407737725448\n", + "SNR (dB) = 25.5808115947305\n", + "G = 100\n", + "mean Xik = 0.9941187305646545 ~ 1.0\n", + "mean Yig = 0.12918071114169485 ~ 0.13\n", + "mean power Yig = 0.020105885846947245\n", + "mean |Yi| = 12.918071114169486 ~ 13.0\n", + "RMSE Y = 0.02003310022112195 ~ 0.02\n", + "SNR = 50.264714617368114\n", + "SNR (dB) = 25.31008971159814\n", + "G = 100\n", + "mean Xik = 1.0006758955773887 ~ 1.0\n", + "mean Yig = 0.1300984633859133 ~ 0.13\n", + "mean power Yig = 0.020431084502367462\n", + "mean |Yi| = 13.00984633859133 ~ 13.0\n", + "RMSE Y = 0.0199100001801136 ~ 0.02\n", + "SNR = 51.07771125591865\n", + "SNR (dB) = 25.470538619912215\n", + "G = 100\n", + "mean Xik = 1.004137214597371 ~ 1.0\n", + "mean Yig = 0.13048675052197273 ~ 0.13\n", + "mean power Yig = 0.020463043573093847\n", + "mean |Yi| = 13.04867505219727 ~ 13.0\n", + "RMSE Y = 0.019945215143083714 ~ 0.02\n", + "SNR = 51.15760893273462\n", + "SNR (dB) = 25.486168774526977\n", + "G = 100\n", + "mean Xik = 1.0044630561611065 ~ 1.0\n", + "mean Yig = 0.13068610179379406 ~ 0.13\n", + "mean power Yig = 0.020673356601603604\n", + "mean |Yi| = 13.068610179379403 ~ 13.0\n", + "RMSE Y = 0.020056936737502612 ~ 0.02\n", + "SNR = 51.68339150400901\n", + "SNR (dB) = 25.588421212787985\n", + "G = 100\n", + "mean Xik = 0.9908726805936033 ~ 1.0\n", + "mean Yig = 0.12882926323066562 ~ 0.13\n", + "mean power Yig = 0.019911787375781118\n", + "mean |Yi| = 12.882926323066563 ~ 13.0\n", + "RMSE Y = 0.019957412352975712 ~ 0.02\n", + "SNR = 49.77946843945279\n", + "SNR (dB) = 25.213082575675408\n", + "G = 100\n", + "mean Xik = 1.0029235444599898 ~ 1.0\n", + "mean Yig = 0.1305351434413673 ~ 0.13\n", + "mean power Yig = 0.02054425888942013\n", + "mean |Yi| = 13.053514344136726 ~ 13.0\n", + "RMSE Y = 0.0199712006749427 ~ 0.02\n", + "SNR = 51.36064722355032\n", + "SNR (dB) = 25.525778998870546\n", + "G = 100\n", + "mean Xik = 0.9727292535716494 ~ 1.0\n", + "mean Yig = 0.12663824711407534 ~ 0.13\n", + "mean power Yig = 0.01955057553822483\n", + "mean |Yi| = 12.663824711407534 ~ 13.0\n", + "RMSE Y = 0.020043390176357943 ~ 0.02\n", + "SNR = 48.87643884556207\n", + "SNR (dB) = 25.030010960476993\n", + "G = 100\n", + "mean Xik = 1.015052309123255 ~ 1.0\n", + "mean Yig = 0.13188449030836916 ~ 0.13\n", + "mean power Yig = 0.020938555204641898\n", + "mean |Yi| = 13.188449030836917 ~ 13.0\n", + "RMSE Y = 0.019985856272171074 ~ 0.02\n", + "SNR = 52.346388011604745\n", + "SNR (dB) = 25.715885769032646\n", + "G = 100\n", + "mean Xik = 1.00926704372319 ~ 1.0\n", + "mean Yig = 0.1312224033401282 ~ 0.13\n", + "mean power Yig = 0.020848843554874638\n", + "mean |Yi| = 13.12224033401282 ~ 13.0\n", + "RMSE Y = 0.020033785242626712 ~ 0.02\n", + "SNR = 52.12210888718659\n", + "SNR (dB) = 25.67294852466813\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n", + "[1.0136745510168508, 0.9720155798330127, 0.9879634999233847, 0.9919700205579246, 0.9861409221958702, 0.9758676015805078, 0.9940663503825694, 1.0063421918881255, 0.999243162575862, 0.9962697322139942, 0.9947500018412316, 1.0090875065181286, 0.9959003879931565, 1.026546110377668, 0.9857110543934097, 0.990684492060706]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating M...\n", + "Creating X, A, and p...\n", + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.9949232000881081 ~ 1.0\n", + "mean Yig = 0.1293134328622308 ~ 0.13\n", + "mean power Yig = 0.02038394771555112\n", + "mean |Yi| = 12.931343286223079 ~ 13.0\n", + "RMSE Y = 0.019960156681124778 ~ 0.02\n", + "SNR = 50.9598692888778\n", + "SNR (dB) = 25.447440851658023\n", + "G = 100\n", + "mean Xik = 1.0080840759601029 ~ 1.0\n", + "mean Yig = 0.1312095349487343 ~ 0.13\n", + "mean power Yig = 0.021024419252185036\n", + "mean |Yi| = 13.120953494873431 ~ 13.0\n", + "RMSE Y = 0.020022263715469005 ~ 0.02\n", + "SNR = 52.56104813046259\n", + "SNR (dB) = 25.756809544569975\n", + "G = 100\n", + "mean Xik = 0.9991445774139521 ~ 1.0\n", + "mean Yig = 0.1297196605544959 ~ 0.13\n", + "mean power Yig = 0.020465307135088404\n", + "mean |Yi| = 12.971966055449592 ~ 13.0\n", + "RMSE Y = 0.020109205743349894 ~ 0.02\n", + "SNR = 51.16326783772101\n", + "SNR (dB) = 25.487274884085608\n", + "G = 100\n", + "mean Xik = 0.9991566660590591 ~ 1.0\n", + "mean Yig = 0.13006525393342622 ~ 0.13\n", + "mean power Yig = 0.020367404330731587\n", + "mean |Yi| = 13.006525393342619 ~ 13.0\n", + "RMSE Y = 0.019872537931815842 ~ 0.02\n", + "SNR = 50.918510826828964\n", + "SNR (dB) = 25.439321667926627\n", + "G = 100\n", + "mean Xik = 0.9885082448978756 ~ 1.0\n", + "mean Yig = 0.12844056516937868 ~ 0.13\n", + "mean power Yig = 0.02011483866122199\n", + "mean |Yi| = 12.844056516937869 ~ 13.0\n", + "RMSE Y = 0.02001349637022387 ~ 0.02\n", + "SNR = 50.287096653054974\n", + "SNR (dB) = 25.31454155304659\n", + "G = 100\n", + "mean Xik = 1.0112130006298996 ~ 1.0\n", + "mean Yig = 0.13136132746091742 ~ 0.13\n", + "mean power Yig = 0.02093322971520914\n", + "mean |Yi| = 13.136132746091741 ~ 13.0\n", + "RMSE Y = 0.020161544661585803 ~ 0.02\n", + "SNR = 52.33307428802285\n", + "SNR (dB) = 25.713342056376653\n", + "G = 100\n", + "mean Xik = 1.02709251490359 ~ 1.0\n", + "mean Yig = 0.13349510590315403 ~ 0.13\n", + "mean power Yig = 0.021612596336231315\n", + "mean |Yi| = 13.349510590315404 ~ 13.0\n", + "RMSE Y = 0.020060019895854878 ~ 0.02\n", + "SNR = 54.031490840578286\n", + "SNR (dB) = 26.032726791849157\n", + "G = 100\n", + "mean Xik = 0.9989976161756766 ~ 1.0\n", + "mean Yig = 0.12991079193555602 ~ 0.13\n", + "mean power Yig = 0.020447702531091915\n", + "mean |Yi| = 12.991079193555603 ~ 13.0\n", + "RMSE Y = 0.01994879988849578 ~ 0.02\n", + "SNR = 51.11925632772979\n", + "SNR (dB) = 25.47866901263951\n", + "G = 100\n", + "mean Xik = 0.9919688188498825 ~ 1.0\n", + "mean Yig = 0.12926776359732495 ~ 0.13\n", + "mean power Yig = 0.020189145276741878\n", + "mean |Yi| = 12.926776359732497 ~ 13.0\n", + "RMSE Y = 0.019936541192201517 ~ 0.02\n", + "SNR = 50.47286319185469\n", + "SNR (dB) = 25.351414681929008\n", + "G = 100\n", + "mean Xik = 0.9728245013075769 ~ 1.0\n", + "mean Yig = 0.12640312220566757 ~ 0.13\n", + "mean power Yig = 0.019442757052000985\n", + "mean |Yi| = 12.640312220566758 ~ 13.0\n", + "RMSE Y = 0.019991860767513584 ~ 0.02\n", + "SNR = 48.60689263000246\n", + "SNR (dB) = 24.97470983393135\n", + "G = 100\n", + "mean Xik = 1.0060565158722115 ~ 1.0\n", + "mean Yig = 0.1306355790038062 ~ 0.13\n", + "mean power Yig = 0.020635219350351234\n", + "mean |Yi| = 13.06355790038062 ~ 13.0\n", + "RMSE Y = 0.020057091536363397 ~ 0.02\n", + "SNR = 51.58804837587808\n", + "SNR (dB) = 25.569956639169096\n", + "G = 100\n", + "mean Xik = 0.9795106404979216 ~ 1.0\n", + "mean Yig = 0.12730343317390871 ~ 0.13\n", + "mean power Yig = 0.019660012479822454\n", + "mean |Yi| = 12.73034331739087 ~ 13.0\n", + "RMSE Y = 0.020033097754952597 ~ 0.02\n", + "SNR = 49.15003119955613\n", + "SNR (dB) = 25.08583120255507\n", + "G = 100\n", + "mean Xik = 0.9978689001370549 ~ 1.0\n", + "mean Yig = 0.12969790306091145 ~ 0.13\n", + "mean power Yig = 0.020285463304098417\n", + "mean |Yi| = 12.969790306091143 ~ 13.0\n", + "RMSE Y = 0.019979551833968677 ~ 0.02\n", + "SNR = 50.71365826024604\n", + "SNR (dB) = 25.399009068904974\n", + "G = 100\n", + "mean Xik = 1.001565753203186 ~ 1.0\n", + "mean Yig = 0.13025490277649568 ~ 0.13\n", + "mean power Yig = 0.02035326321097424\n", + "mean |Yi| = 13.025490277649569 ~ 13.0\n", + "RMSE Y = 0.020028799934576586 ~ 0.02\n", + "SNR = 50.8831580274356\n", + "SNR (dB) = 25.43237624135113\n", + "G = 100\n", + "mean Xik = 1.0049388161473267 ~ 1.0\n", + "mean Yig = 0.1306802787248652 ~ 0.13\n", + "mean power Yig = 0.02075016250342936\n", + "mean |Yi| = 13.068027872486521 ~ 13.0\n", + "RMSE Y = 0.02011064764009759 ~ 0.02\n", + "SNR = 51.8754062585734\n", + "SNR (dB) = 25.625504488908774\n", + "G = 100\n", + "mean Xik = 1.0103240711953714 ~ 1.0\n", + "mean Yig = 0.1313523406329481 ~ 0.13\n", + "mean power Yig = 0.020983645588264346\n", + "mean |Yi| = 13.13523406329481 ~ 13.0\n", + "RMSE Y = 0.020049067091318706 ~ 0.02\n", + "SNR = 52.45911397066086\n", + "SNR (dB) = 25.737397235586087\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "[1.0053093257411292, 0.9907816535649875, 1.0021611176309415, 0.9994982984966947, 1.012141295303122, 0.9896367714362324, 0.9738184716247978, 1.0006866870959283, 1.0056644934691992, 1.0284556087821948, 0.9951347174433416, 1.0211822003449627, 1.0023292353381126, 0.9980430465874051, 0.9947943275641654, 0.9897044801300717]\n", + "Creating M...\n", + "Creating X, A, and p...\n", + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.0104547198958482 ~ 1.0\n", + "mean Yig = 0.13130494127433184 ~ 0.13\n", + "mean power Yig = 0.021004065937009212\n", + "mean |Yi| = 13.130494127433181 ~ 13.0\n", + "RMSE Y = 0.0199710856561489 ~ 0.02\n", + "SNR = 52.510164842523025\n", + "SNR (dB) = 25.74712405784577\n", + "G = 100\n", + "mean Xik = 0.9924464290031201 ~ 1.0\n", + "mean Yig = 0.1290295394639585 ~ 0.13\n", + "mean power Yig = 0.02029470502823049\n", + "mean |Yi| = 12.902953946395854 ~ 13.0\n", + "RMSE Y = 0.0199836948450296 ~ 0.02\n", + "SNR = 50.736762570576225\n", + "SNR (dB) = 25.403563867306083\n", + "G = 100\n", + "mean Xik = 0.9930568317275535 ~ 1.0\n", + "mean Yig = 0.12900825878093397 ~ 0.13\n", + "mean power Yig = 0.020224835538393174\n", + "mean |Yi| = 12.9008258780934 ~ 13.0\n", + "RMSE Y = 0.02012027999478174 ~ 0.02\n", + "SNR = 50.562088845982935\n", + "SNR (dB) = 25.369077020659148\n", + "G = 100\n", + "mean Xik = 0.9895514147632706 ~ 1.0\n", + "mean Yig = 0.12855473533542852 ~ 0.13\n", + "mean power Yig = 0.020228317710966136\n", + "mean |Yi| = 12.855473533542852 ~ 13.0\n", + "RMSE Y = 0.020078683597283077 ~ 0.02\n", + "SNR = 50.57079427741534\n", + "SNR (dB) = 25.370798603429275\n", + "G = 100\n", + "mean Xik = 0.9975124573559828 ~ 1.0\n", + "mean Yig = 0.12961768278273686 ~ 0.13\n", + "mean power Yig = 0.020566046356809746\n", + "mean |Yi| = 12.961768278273682 ~ 13.0\n", + "RMSE Y = 0.02004831353763715 ~ 0.02\n", + "SNR = 51.41511589202436\n", + "SNR (dB) = 25.53637851609571\n", + "G = 100\n", + "mean Xik = 0.9903087923868513 ~ 1.0\n", + "mean Yig = 0.12870641454774087 ~ 0.13\n", + "mean power Yig = 0.020156455582036104\n", + "mean |Yi| = 12.870641454774086 ~ 13.0\n", + "RMSE Y = 0.020035917024187753 ~ 0.02\n", + "SNR = 50.391138955090256\n", + "SNR (dB) = 25.335209841171423\n", + "G = 100\n", + "mean Xik = 1.0133992570176897 ~ 1.0\n", + "mean Yig = 0.13175239043470216 ~ 0.13\n", + "mean power Yig = 0.02110711785060969\n", + "mean |Yi| = 13.175239043470214 ~ 13.0\n", + "RMSE Y = 0.020020181621349813 ~ 0.02\n", + "SNR = 52.76779462652422\n", + "SNR (dB) = 25.796066932417684\n", + "G = 100\n", + "mean Xik = 0.9966342150854604 ~ 1.0\n", + "mean Yig = 0.1295411624606964 ~ 0.13\n", + "mean power Yig = 0.02053140294583192\n", + "mean |Yi| = 12.954116246069644 ~ 13.0\n", + "RMSE Y = 0.020007495354645882 ~ 0.02\n", + "SNR = 51.3285073645798\n", + "SNR (dB) = 25.51951935827873\n", + "G = 100\n", + "mean Xik = 1.0065752847231708 ~ 1.0\n", + "mean Yig = 0.13080299028732648 ~ 0.13\n", + "mean power Yig = 0.02097827801451575\n", + "mean |Yi| = 13.08029902873265 ~ 13.0\n", + "RMSE Y = 0.019947709780597768 ~ 0.02\n", + "SNR = 52.44569503628937\n", + "SNR (dB) = 25.734838928760748\n", + "G = 100\n", + "mean Xik = 0.9933030995633716 ~ 1.0\n", + "mean Yig = 0.1290941059125272 ~ 0.13\n", + "mean power Yig = 0.02027911140138414\n", + "mean |Yi| = 12.90941059125272 ~ 13.0\n", + "RMSE Y = 0.01998562159263885 ~ 0.02\n", + "SNR = 50.69777850346035\n", + "SNR (dB) = 25.3958773201748\n", + "G = 100\n", + "mean Xik = 1.0158918672394324 ~ 1.0\n", + "mean Yig = 0.1319926668844579 ~ 0.13\n", + "mean power Yig = 0.021196983288998553\n", + "mean |Yi| = 13.19926668844579 ~ 13.0\n", + "RMSE Y = 0.020005747905734925 ~ 0.02\n", + "SNR = 52.99245822249638\n", + "SNR (dB) = 25.838552446182067\n", + "G = 100\n", + "mean Xik = 0.991951657240253 ~ 1.0\n", + "mean Yig = 0.1289318302617059 ~ 0.13\n", + "mean power Yig = 0.02039100976648558\n", + "mean |Yi| = 12.893183026170588 ~ 13.0\n", + "RMSE Y = 0.02001252214792261 ~ 0.02\n", + "SNR = 50.97752441621395\n", + "SNR (dB) = 25.4509047674736\n", + "G = 100\n", + "mean Xik = 1.003078374011239 ~ 1.0\n", + "mean Yig = 0.13039179708094756 ~ 0.13\n", + "mean power Yig = 0.020704383467437474\n", + "mean |Yi| = 13.039179708094755 ~ 13.0\n", + "RMSE Y = 0.01994382416876318 ~ 0.02\n", + "SNR = 51.76095866859368\n", + "SNR (dB) = 25.603418103191963\n", + "G = 100\n", + "mean Xik = 0.9932102809324821 ~ 1.0\n", + "mean Yig = 0.1291276589954276 ~ 0.13\n", + "mean power Yig = 0.020338757180668902\n", + "mean |Yi| = 12.91276589954276 ~ 13.0\n", + "RMSE Y = 0.020000091874313525 ~ 0.02\n", + "SNR = 50.84689295167225\n", + "SNR (dB) = 25.425246572791934\n", + "G = 100\n", + "mean Xik = 1.0073061523190072 ~ 1.0\n", + "mean Yig = 0.13097918094362868 ~ 0.13\n", + "mean power Yig = 0.020942556567237963\n", + "mean |Yi| = 13.097918094362871 ~ 13.0\n", + "RMSE Y = 0.01990486840962958 ~ 0.02\n", + "SNR = 52.3563914180949\n", + "SNR (dB) = 25.717796588702395\n", + "G = 100\n", + "mean Xik = 1.0187824386401816 ~ 1.0\n", + "mean Yig = 0.13236442806024018 ~ 0.13\n", + "mean power Yig = 0.021472022608880877\n", + "mean |Yi| = 13.236442806024021 ~ 13.0\n", + "RMSE Y = 0.019921113931956145 ~ 0.02\n", + "SNR = 53.680056522202186\n", + "SNR (dB) = 25.967471844901162\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 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1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "[0.9900617504439119, 1.0075212276202268, 1.0076874242659926, 1.011242407063423, 1.0029495760844915, 1.0100506680790127, 0.9866993651582311, 1.0035420211659964, 0.9938610708703017, 1.0070173156324165, 0.9849032000679081, 1.0082847636314938, 0.9969952321409887, 1.0067556479483863, 0.9925241482152027, 0.9821369827612284]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.9991601331833797 ~ 1.0\n", + "mean Yig = 0.1298428771843248 ~ 0.13\n", + "mean power Yig = 0.020470276781031173\n", + "mean |Yi| = 12.984287718432482 ~ 13.0\n", + "RMSE Y = 0.02003504028061187 ~ 0.02\n", + "SNR = 51.17569195257793\n", + "SNR (dB) = 25.489702916370362\n", + "G = 100\n", + "mean Xik = 1.0145470884025178 ~ 1.0\n", + "mean Yig = 0.131859299383902 ~ 0.13\n", + "mean power Yig = 0.020991957245176926\n", + "mean |Yi| = 13.1859299383902 ~ 13.0\n", + "RMSE Y = 0.019867348539089422 ~ 0.02\n", + "SNR = 52.479893112942314\n", + "SNR (dB) = 25.741357467940198\n", + "G = 100\n", + "mean Xik = 0.9831694338479087 ~ 1.0\n", + "mean Yig = 0.12778638912718746 ~ 0.13\n", + "mean power Yig = 0.02006982902014235\n", + "mean |Yi| = 12.778638912718746 ~ 13.0\n", + "RMSE Y = 0.019980437857114487 ~ 0.02\n", + "SNR = 50.174572550355876\n", + "SNR (dB) = 25.292140143504554\n", + "G = 100\n", + "mean Xik = 1.0140350312313973 ~ 1.0\n", + "mean Yig = 0.1317757271470679 ~ 0.13\n", + "mean power Yig = 0.021409147451000386\n", + "mean |Yi| = 13.177572714706788 ~ 13.0\n", + "RMSE Y = 0.02001645066456793 ~ 0.02\n", + "SNR = 53.52286862750096\n", + "SNR (dB) = 25.938146524322512\n", + "G = 100\n", + "mean Xik = 1.002908212756737 ~ 1.0\n", + "mean Yig = 0.13047221581325874 ~ 0.13\n", + "mean power Yig = 0.02086608730803219\n", + "mean |Yi| = 13.047221581325873 ~ 13.0\n", + "RMSE Y = 0.020039310880270153 ~ 0.02\n", + "SNR = 52.165218270080466\n", + "SNR (dB) = 25.68121595015969\n", + "G = 100\n", + "mean Xik = 0.9917808394775879 ~ 1.0\n", + "mean Yig = 0.12889214862921083 ~ 0.13\n", + "mean power Yig = 0.020263782016622208\n", + "mean |Yi| = 12.889214862921083 ~ 13.0\n", + "RMSE Y = 0.019958818887801325 ~ 0.02\n", + "SNR = 50.65945504155552\n", + "SNR (dB) = 25.388315262215894\n", + "G = 100\n", + "mean Xik = 1.0132491362677554 ~ 1.0\n", + "mean Yig = 0.13172358913476365 ~ 0.13\n", + "mean power Yig = 0.02120001753796652\n", + "mean |Yi| = 13.172358913476364 ~ 13.0\n", + "RMSE Y = 0.019864875050849946 ~ 0.02\n", + "SNR = 53.0000438449163\n", + "SNR (dB) = 25.839983796944605\n", + "G = 100\n", + "mean Xik = 0.9982732829391295 ~ 1.0\n", + "mean Yig = 0.1297191577493845 ~ 0.13\n", + "mean power Yig = 0.02056662047822593\n", + "mean |Yi| = 12.971915774938449 ~ 13.0\n", + "RMSE Y = 0.019930480305294502 ~ 0.02\n", + "SNR = 51.41655119556482\n", + "SNR (dB) = 25.536657672036913\n", + "G = 100\n", + "mean Xik = 1.0105503216934282 ~ 1.0\n", + "mean Yig = 0.13139864210454474 ~ 0.13\n", + "mean power Yig = 0.020911603500919227\n", + "mean |Yi| = 13.139864210454475 ~ 13.0\n", + "RMSE Y = 0.019994646202264325 ~ 0.02\n", + "SNR = 52.27900875229807\n", + "SNR (dB) = 25.70300567094829\n", + "G = 100\n", + "mean Xik = 0.9853849185276307 ~ 1.0\n", + "mean Yig = 0.12807383398627772 ~ 0.13\n", + "mean power Yig = 0.020260460299558518\n", + "mean |Yi| = 12.80738339862777 ~ 13.0\n", + "RMSE Y = 0.01994856208480838 ~ 0.02\n", + "SNR = 50.65115074889629\n", + "SNR (dB) = 25.38667588939544\n", + "G = 100\n", + "mean Xik = 1.0039254750863575 ~ 1.0\n", + "mean Yig = 0.13062853340564962 ~ 0.13\n", + "mean power Yig = 0.020837590394046184\n", + "mean |Yi| = 13.06285334056496 ~ 13.0\n", + "RMSE Y = 0.020037101184877722 ~ 0.02\n", + "SNR = 52.093975985115456\n", + "SNR (dB) = 25.667549568683754\n", + "G = 100\n", + "mean Xik = 1.0000171544548542 ~ 1.0\n", + "mean Yig = 0.12992269906382217 ~ 0.13\n", + "mean power Yig = 0.02072029055189711\n", + "mean |Yi| = 12.992269906382216 ~ 13.0\n", + "RMSE Y = 0.020093640241695385 ~ 0.02\n", + "SNR = 51.80072637974277\n", + "SNR (dB) = 25.611098108221853\n", + "G = 100\n", + "mean Xik = 1.0023909932646142 ~ 1.0\n", + "mean Yig = 0.1302094038206428 ~ 0.13\n", + "mean power Yig = 0.02072442800403885\n", + "mean |Yi| = 13.020940382064278 ~ 13.0\n", + "RMSE Y = 0.02001771735329443 ~ 0.02\n", + "SNR = 51.81107001009712\n", + "SNR (dB) = 25.61309472072142\n", + "G = 100\n", + "mean Xik = 0.9978212296864842 ~ 1.0\n", + "mean Yig = 0.12973090679392443 ~ 0.13\n", + "mean power Yig = 0.020565253513907828\n", + "mean |Yi| = 12.973090679392444 ~ 13.0\n", + "RMSE Y = 0.01996596694665907 ~ 0.02\n", + "SNR = 51.41313378476957\n", + "SNR (dB) = 25.535992998057377\n", + "G = 100\n", + "mean Xik = 0.9869182748231371 ~ 1.0\n", + "mean Yig = 0.12834726501623306 ~ 0.13\n", + "mean power Yig = 0.0200135616413486\n", + "mean |Yi| = 12.834726501623308 ~ 13.0\n", + "RMSE Y = 0.019974360657530152 ~ 0.02\n", + "SNR = 50.03390410337149\n", + "SNR (dB) = 25.264064965819134\n", + "G = 100\n", + "mean Xik = 0.9700174317655256 ~ 1.0\n", + "mean Yig = 0.1260897920462734 ~ 0.13\n", + "mean power Yig = 0.019447534922804613\n", + "mean |Yi| = 12.608979204627339 ~ 13.0\n", + "RMSE Y = 0.0201141724106903 ~ 0.02\n", + "SNR = 48.61883730701153\n", + "SNR (dB) = 24.977166935992066\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "[1.0012100996148763, 0.9858993685497393, 1.0173227437439312, 0.9865246264580572, 0.9963807174553194, 1.0085951811849778, 0.9869151065038148, 1.0021650021129347, 0.9893557339547547, 1.0150394967790897, 0.995188391163378, 1.0005949763723725, 0.9983917918790932, 1.0020742413101529, 1.0128770565041483, 1.0310112967137863]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.0351400573306009 ~ 1.0\n", + "mean Yig = 0.1346315213395271 ~ 0.13\n", + "mean power Yig = 0.021985318031899164\n", + "mean |Yi| = 13.463152133952713 ~ 13.0\n", + "RMSE Y = 0.020073351588242812 ~ 0.02\n", + "SNR = 54.96329507974791\n", + "SNR (dB) = 26.203712391409102\n", + "G = 100\n", + "mean Xik = 0.9973752836498705 ~ 1.0\n", + "mean Yig = 0.1296324491470031 ~ 0.13\n", + "mean power Yig = 0.020402159064224722\n", + "mean |Yi| = 12.96324491470031 ~ 13.0\n", + "RMSE Y = 0.019995136073649895 ~ 0.02\n", + "SNR = 51.005397660561805\n", + "SNR (dB) = 25.45637102485754\n", + "G = 100\n", + "mean Xik = 0.996816423129042 ~ 1.0\n", + "mean Yig = 0.12955057920173763 ~ 0.13\n", + "mean power Yig = 0.020162871131025994\n", + "mean |Yi| = 12.95505792017376 ~ 13.0\n", + "RMSE Y = 0.019908988316557765 ~ 0.02\n", + "SNR = 50.407177827564986\n", + "SNR (dB) = 25.338392210306544\n", + "G = 100\n", + "mean Xik = 1.0062626484587613 ~ 1.0\n", + "mean Yig = 0.13074495395465308 ~ 0.13\n", + "mean power Yig = 0.020714672240645708\n", + "mean |Yi| = 13.074495395465311 ~ 13.0\n", + "RMSE Y = 0.019998075792141926 ~ 0.02\n", + "SNR = 51.786680601614265\n", + "SNR (dB) = 25.60838623838673\n", + "G = 100\n", + "mean Xik = 0.9924644304032614 ~ 1.0\n", + "mean Yig = 0.12914092076318678 ~ 0.13\n", + "mean power Yig = 0.02041096679264832\n", + "mean |Yi| = 12.91409207631868 ~ 13.0\n", + "RMSE Y = 0.020079593625185535 ~ 0.02\n", + "SNR = 51.0274169816208\n", + "SNR (dB) = 25.46068715030758\n", + "G = 100\n", + "mean Xik = 1.0167870136752823 ~ 1.0\n", + "mean Yig = 0.13215158376794559 ~ 0.13\n", + "mean power Yig = 0.021220673389027816\n", + "mean |Yi| = 13.215158376794555 ~ 13.0\n", + "RMSE Y = 0.020036149918024413 ~ 0.02\n", + "SNR = 53.051683472569536\n", + "SNR (dB) = 25.849722371325367\n", + "G = 100\n", + "mean Xik = 0.9953926056252919 ~ 1.0\n", + "mean Yig = 0.12929211093101523 ~ 0.13\n", + "mean power Yig = 0.02031827884867137\n", + "mean |Yi| = 12.929211093101523 ~ 13.0\n", + "RMSE Y = 0.019983445851195845 ~ 0.02\n", + "SNR = 50.79569712167842\n", + "SNR (dB) = 25.41517287547936\n", + "G = 100\n", + "mean Xik = 1.0167748419110567 ~ 1.0\n", + "mean Yig = 0.13212864932415008 ~ 0.13\n", + "mean power Yig = 0.021205109222558912\n", + "mean |Yi| = 13.212864932415009 ~ 13.0\n", + "RMSE Y = 0.019972652192105558 ~ 0.02\n", + "SNR = 53.01277305639728\n", + "SNR (dB) = 25.842385244602394\n", + "G = 100\n", + "mean Xik = 0.9817829027871018 ~ 1.0\n", + "mean Yig = 0.12756586504352008 ~ 0.13\n", + "mean power Yig = 0.019751749835108346\n", + "mean |Yi| = 12.75658650435201 ~ 13.0\n", + "RMSE Y = 0.02002797284399358 ~ 0.02\n", + "SNR = 49.37937458777086\n", + "SNR (dB) = 25.13238457422706\n", + "G = 100\n", + "mean Xik = 0.9973383343106904 ~ 1.0\n", + "mean Yig = 0.12963404698762782 ~ 0.13\n", + "mean power Yig = 0.020350161034649074\n", + "mean |Yi| = 12.963404698762782 ~ 13.0\n", + "RMSE Y = 0.02006227359215594 ~ 0.02\n", + "SNR = 50.875402586622684\n", + "SNR (dB) = 25.430851958621275\n", + "G = 100\n", + "mean Xik = 0.9918550784544468 ~ 1.0\n", + "mean Yig = 0.12896361744351292 ~ 0.13\n", + "mean power Yig = 0.020352394555854303\n", + "mean |Yi| = 12.89636174435129 ~ 13.0\n", + "RMSE Y = 0.020024960566483306 ~ 0.02\n", + "SNR = 50.88098638963576\n", + "SNR (dB) = 25.43194944312812\n", + "G = 100\n", + "mean Xik = 0.9985693555955065 ~ 1.0\n", + "mean Yig = 0.1298031666429773 ~ 0.13\n", + "mean power Yig = 0.020457426006381573\n", + "mean |Yi| = 12.980316664297732 ~ 13.0\n", + "RMSE Y = 0.020038717182388355 ~ 0.02\n", + "SNR = 51.14356501595393\n", + "SNR (dB) = 25.483423172237806\n", + "G = 100\n", + "mean Xik = 1.0146038036014917 ~ 1.0\n", + "mean Yig = 0.1318866145156525 ~ 0.13\n", + "mean power Yig = 0.021268785253752604\n", + "mean |Yi| = 13.188661451565249 ~ 13.0\n", + "RMSE Y = 0.01988003902878022 ~ 0.02\n", + "SNR = 53.17196313438151\n", + "SNR (dB) = 25.87236887557559\n", + "G = 100\n", + "mean Xik = 1.0191868038201055 ~ 1.0\n", + "mean Yig = 0.13245047131226462 ~ 0.13\n", + "mean power Yig = 0.021301717229094658\n", + "mean |Yi| = 13.24504713122646 ~ 13.0\n", + "RMSE Y = 0.019909803320829093 ~ 0.02\n", + "SNR = 53.254293072736644\n", + "SNR (dB) = 25.887840613041952\n", + "G = 100\n", + "mean Xik = 1.00604581678679 ~ 1.0\n", + "mean Yig = 0.13073026846001848 ~ 0.13\n", + "mean power Yig = 0.02086457185557834\n", + "mean |Yi| = 13.073026846001849 ~ 13.0\n", + "RMSE Y = 0.02005599086734875 ~ 0.02\n", + "SNR = 52.16142963894585\n", + "SNR (dB) = 25.68048964845016\n", + "G = 100\n", + "mean Xik = 1.012236679949271 ~ 1.0\n", + "mean Yig = 0.1316822169596724 ~ 0.13\n", + "mean power Yig = 0.02099655346472292\n", + "mean |Yi| = 13.16822169596724 ~ 13.0\n", + "RMSE Y = 0.02009849704236618 ~ 0.02\n", + "SNR = 52.4913836618073\n", + "SNR (dB) = 25.743546742809272\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "[0.9655985367063713, 1.0028353306245112, 1.0034690759472604, 0.9943022355194565, 1.0066522619765779, 0.9837188196569504, 1.0054751141727625, 0.983889570240532, 1.0190813973287405, 1.00282296989777, 1.0080362398095808, 1.0015163987298097, 0.9856951782212244, 0.9814989611740423, 0.9944139297760118, 0.9872251774118629]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.012623530413178 ~ 1.0\n", + "mean Yig = 0.13168129983199778 ~ 0.13\n", + "mean power Yig = 0.021076945181944955\n", + "mean |Yi| = 13.168129983199778 ~ 13.0\n", + "RMSE Y = 0.020085436798777483 ~ 0.02\n", + "SNR = 52.69236295486239\n", + "SNR (dB) = 25.78176168458658\n", + "G = 100\n", + "mean Xik = 0.9964113432928468 ~ 1.0\n", + "mean Yig = 0.129598312149284 ~ 0.13\n", + "mean power Yig = 0.020438009852331553\n", + "mean |Yi| = 12.959831214928398 ~ 13.0\n", + "RMSE Y = 0.020063120620167286 ~ 0.02\n", + "SNR = 51.09502463082888\n", + "SNR (dB) = 25.47392766003641\n", + "G = 100\n", + "mean Xik = 1.0113061032885746 ~ 1.0\n", + "mean Yig = 0.1315691137121557 ~ 0.13\n", + "mean power Yig = 0.02094776810228402\n", + "mean |Yi| = 13.156911371215571 ~ 13.0\n", + "RMSE Y = 0.020069578321947175 ~ 0.02\n", + "SNR = 52.36942025571005\n", + "SNR (dB) = 25.720284769500257\n", + "G = 100\n", + "mean Xik = 1.032932288876536 ~ 1.0\n", + "mean Yig = 0.13416395337558829 ~ 0.13\n", + "mean power Yig = 0.021898870736185964\n", + "mean |Yi| = 13.416395337558827 ~ 13.0\n", + "RMSE Y = 0.019955289418050127 ~ 0.02\n", + "SNR = 54.74717684046491\n", + "SNR (dB) = 26.164314416895035\n", + "G = 100\n", + "mean Xik = 0.9887974176335076 ~ 1.0\n", + "mean Yig = 0.1285875502553991 ~ 0.13\n", + "mean power Yig = 0.020117904181895855\n", + "mean |Yi| = 12.858755025539914 ~ 13.0\n", + "RMSE Y = 0.020038104552377242 ~ 0.02\n", + "SNR = 50.29476045473964\n", + "SNR (dB) = 25.316065446504087\n", + "G = 100\n", + "mean Xik = 0.9971021797422487 ~ 1.0\n", + "mean Yig = 0.1298276762791459 ~ 0.13\n", + "mean power Yig = 0.020361113169264696\n", + "mean |Yi| = 12.982767627914589 ~ 13.0\n", + "RMSE Y = 0.019975467873263878 ~ 0.02\n", + "SNR = 50.90278292316174\n", + "SNR (dB) = 25.436232352673777\n", + "G = 100\n", + "mean Xik = 1.001156591281507 ~ 1.0\n", + "mean Yig = 0.1301728505732657 ~ 0.13\n", + "mean power Yig = 0.02053474717480359\n", + "mean |Yi| = 13.017285057326566 ~ 13.0\n", + "RMSE Y = 0.02000103842380809 ~ 0.02\n", + "SNR = 51.336867937008975\n", + "SNR (dB) = 25.521148061709283\n", + "G = 100\n", + "mean Xik = 1.0001555514692315 ~ 1.0\n", + "mean Yig = 0.13001429329711697 ~ 0.13\n", + "mean power Yig = 0.02061687260043552\n", + "mean |Yi| = 13.001429329711693 ~ 13.0\n", + "RMSE Y = 0.01994300571558618 ~ 0.02\n", + "SNR = 51.54218150108879\n", + "SNR (dB) = 25.561061695781852\n", + "G = 100\n", + "mean Xik = 0.9953392241044834 ~ 1.0\n", + "mean Yig = 0.12935741110730015 ~ 0.13\n", + "mean power Yig = 0.020200281480979358\n", + "mean |Yi| = 12.935741110730012 ~ 13.0\n", + "RMSE Y = 0.019993354665784148 ~ 0.02\n", + "SNR = 50.50070370244839\n", + "SNR (dB) = 25.356929097662846\n", + "G = 100\n", + "mean Xik = 1.0031316409476496 ~ 1.0\n", + "mean Yig = 0.13036785171419432 ~ 0.13\n", + "mean power Yig = 0.020569589692884523\n", + "mean |Yi| = 13.03678517141943 ~ 13.0\n", + "RMSE Y = 0.0200372095569617 ~ 0.02\n", + "SNR = 51.42397423221131\n", + "SNR (dB) = 25.538101273502093\n", + "G = 100\n", + "mean Xik = 1.0010713147155565 ~ 1.0\n", + "mean Yig = 0.13011747667659795 ~ 0.13\n", + "mean power Yig = 0.020508333857062508\n", + "mean |Yi| = 13.0117476676598 ~ 13.0\n", + "RMSE Y = 0.01999472876279149 ~ 0.02\n", + "SNR = 51.27083464265627\n", + "SNR (dB) = 25.50827703900658\n", + "G = 100\n", + "mean Xik = 0.9815562479382334 ~ 1.0\n", + "mean Yig = 0.1277294045676319 ~ 0.13\n", + "mean power Yig = 0.0198360270089207\n", + "mean |Yi| = 12.772940456763193 ~ 13.0\n", + "RMSE Y = 0.02003931826466206 ~ 0.02\n", + "SNR = 49.590067522301744\n", + "SNR (dB) = 25.17496200991472\n", + "G = 100\n", + "mean Xik = 0.9935450988807694 ~ 1.0\n", + "mean Yig = 0.1290587641772718 ~ 0.13\n", + "mean power Yig = 0.020058985681638074\n", + "mean |Yi| = 12.90587641772718 ~ 13.0\n", + "RMSE Y = 0.020008908609411055 ~ 0.02\n", + "SNR = 50.14746420409518\n", + "SNR (dB) = 25.286735877842204\n", + "G = 100\n", + "mean Xik = 0.9930081189086969 ~ 1.0\n", + "mean Yig = 0.12925256768294038 ~ 0.13\n", + "mean power Yig = 0.0202690709544846\n", + "mean |Yi| = 12.925256768294036 ~ 13.0\n", + "RMSE Y = 0.02002120995360202 ~ 0.02\n", + "SNR = 50.6726773862115\n", + "SNR (dB) = 25.390924966445784\n", + "G = 100\n", + "mean Xik = 1.016385814264191 ~ 1.0\n", + "mean Yig = 0.1320574845758916 ~ 0.13\n", + "mean power Yig = 0.021195026074272046\n", + "mean |Yi| = 13.205748457589157 ~ 13.0\n", + "RMSE Y = 0.020043836420008745 ~ 0.02\n", + "SNR = 52.98756518568011\n", + "SNR (dB) = 25.837629057667442\n", + "G = 100\n", + "mean Xik = 1.0037541763817792 ~ 1.0\n", + "mean Yig = 0.13049786492159027 ~ 0.13\n", + "mean power Yig = 0.020526329527132115\n", + "mean |Yi| = 13.04978649215903 ~ 13.0\n", + "RMSE Y = 0.020035528261942274 ~ 0.02\n", + "SNR = 51.315823817830285\n", + "SNR (dB) = 25.51704799981831\n", + "[0.9872320531909784, 1.0030994836588096, 0.9880738444769903, 0.9689636950103029, 1.0109843428994134, 1.0013273265438687, 0.9986721457469476, 0.9998900636479694, 1.0049675460199714, 0.9971783556347869, 0.9990971491332408, 1.017776607039343, 1.0072930794644472, 1.0057827270317221, 0.9844197806546197, 0.9961848807113478]\n", + 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"[0.9872320531909784, 1.0030994836588096, 0.9880738444769903, 0.9689636950103029, 1.0109843428994134, 1.0013273265438687, 0.9986721457469476, 0.9998900636479694, 1.0049675460199714, 0.9971783556347869, 0.9990971491332408, 1.017776607039343, 1.0072930794644472, 1.0057827270317221, 0.9844197806546197, 0.9961848807113478]\n", + "[0.9872320531909784, 1.0030994836588096, 0.9880738444769903, 0.9689636950103029, 1.0109843428994134, 1.0013273265438687, 0.9986721457469476, 0.9998900636479694, 1.0049675460199714, 0.9971783556347869, 0.9990971491332408, 1.017776607039343, 1.0072930794644472, 1.0057827270317221, 0.9844197806546197, 0.9961848807113478]\n", + "[0.9872320531909784, 1.0030994836588096, 0.9880738444769903, 0.9689636950103029, 1.0109843428994134, 1.0013273265438687, 0.9986721457469476, 0.9998900636479694, 1.0049675460199714, 0.9971783556347869, 0.9990971491332408, 1.017776607039343, 1.0072930794644472, 1.0057827270317221, 0.9844197806546197, 0.9961848807113478]\n", + 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"stdout", + "output_type": "stream", + "text": [ + "Creating M...\n", + "Creating X, A, and p...\n", + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.0110441897269262 ~ 1.0\n", + "mean Yig = 0.13140155621886135 ~ 0.13\n", + "mean power Yig = 0.021152898026089675\n", + "mean |Yi| = 13.140155621886137 ~ 13.0\n", + "RMSE Y = 0.020071198125899765 ~ 0.02\n", + "SNR = 52.88224506522418\n", + "SNR (dB) = 25.81773289369975\n", + "G = 100\n", + "mean Xik = 1.0127856170407241 ~ 1.0\n", + "mean Yig = 0.13167398699018834 ~ 0.13\n", + "mean power Yig = 0.021113817858541623\n", + "mean |Yi| = 13.167398699018834 ~ 13.0\n", + "RMSE Y = 0.019930040914240887 ~ 0.02\n", + "SNR = 52.78454464635406\n", + "SNR (dB) = 25.79924071711745\n", + "G = 100\n", + "mean Xik = 0.9977154863768879 ~ 1.0\n", + "mean Yig = 0.12971100016600673 ~ 0.13\n", + "mean power Yig = 0.020626827716825624\n", + "mean |Yi| = 12.971100016600676 ~ 13.0\n", + "RMSE Y = 0.019967459955479876 ~ 0.02\n", + "SNR = 51.567069292064055\n", + "SNR (dB) = 25.56588915622156\n", + "G = 100\n", + "mean Xik = 0.9952291802454343 ~ 1.0\n", + "mean Yig = 0.12938529980237662 ~ 0.13\n", + "mean power Yig = 0.02048629745440899\n", + "mean |Yi| = 12.93852998023766 ~ 13.0\n", + "RMSE Y = 0.020054140281424857 ~ 0.02\n", + "SNR = 51.215743636022474\n", + "SNR (dB) = 25.497526165503857\n", + "G = 100\n", + "mean Xik = 0.9917553730026172 ~ 1.0\n", + "mean Yig = 0.128786387956256 ~ 0.13\n", + "mean power Yig = 0.02035988074216947\n", + "mean |Yi| = 12.878638795625596 ~ 13.0\n", + "RMSE Y = 0.019988600207028095 ~ 0.02\n", + "SNR = 50.89970185542367\n", + "SNR (dB) = 25.435627049621363\n", + "G = 100\n", + "mean Xik = 0.978790317230547 ~ 1.0\n", + "mean Yig = 0.1273999141842697 ~ 0.13\n", + "mean power Yig = 0.01984671810149752\n", + "mean |Yi| = 12.73999141842697 ~ 13.0\n", + "RMSE Y = 0.020058067798984888 ~ 0.02\n", + "SNR = 49.6167952537438\n", + "SNR (dB) = 25.180350292809837\n", + "G = 100\n", + "mean Xik = 0.9871860791563114 ~ 1.0\n", + "mean Yig = 0.1284196322397204 ~ 0.13\n", + "mean power Yig = 0.02027160058329727\n", + "mean |Yi| = 12.841963223972039 ~ 13.0\n", + "RMSE Y = 0.02006587463496037 ~ 0.02\n", + "SNR = 50.67900145824317\n", + "SNR (dB) = 25.392172912629206\n", + "G = 100\n", + "mean Xik = 1.0026620210233905 ~ 1.0\n", + "mean Yig = 0.1303231056237843 ~ 0.13\n", + "mean power Yig = 0.02069127169056119\n", + "mean |Yi| = 13.032310562378433 ~ 13.0\n", + "RMSE Y = 0.02006842651556033 ~ 0.02\n", + "SNR = 51.72817922640297\n", + "SNR (dB) = 25.59708324642271\n", + "G = 100\n", + "mean Xik = 1.0256754775007817 ~ 1.0\n", + "mean Yig = 0.13354239274980503 ~ 0.13\n", + "mean power Yig = 0.021824523945433424\n", + "mean |Yi| = 13.354239274980504 ~ 13.0\n", + "RMSE Y = 0.019975491976484582 ~ 0.02\n", + "SNR = 54.56130986358356\n", + "SNR (dB) = 26.130306598907627\n", + "G = 100\n", + "mean Xik = 1.0033148258708415 ~ 1.0\n", + "mean Yig = 0.13028070460479355 ~ 0.13\n", + "mean power Yig = 0.020728798585875657\n", + "mean |Yi| = 13.028070460479354 ~ 13.0\n", + "RMSE Y = 0.020046317482206616 ~ 0.02\n", + "SNR = 51.82199646468914\n", + "SNR (dB) = 25.6152034018604\n", + "G = 100\n", + "mean Xik = 1.026322884799159 ~ 1.0\n", + "mean Yig = 0.1334705797691876 ~ 0.13\n", + "mean power Yig = 0.021861395547742992\n", + "mean |Yi| = 13.347057976918762 ~ 13.0\n", + "RMSE Y = 0.019965076449010213 ~ 0.02\n", + "SNR = 54.653488869357474\n", + "SNR (dB) = 26.147186917093737\n", + "G = 100\n", + "mean Xik = 0.9891071570439671 ~ 1.0\n", + "mean Yig = 0.1286186255882144 ~ 0.13\n", + "mean power Yig = 0.02017672790537691\n", + "mean |Yi| = 12.861862558821437 ~ 13.0\n", + "RMSE Y = 0.0200626202534717 ~ 0.02\n", + "SNR = 50.441819763442275\n", + "SNR (dB) = 25.345262271103838\n", + "G = 100\n", + "mean Xik = 1.0092961021604543 ~ 1.0\n", + "mean Yig = 0.1314244669169856 ~ 0.13\n", + "mean power Yig = 0.021761230453627576\n", + "mean |Yi| = 13.142446691698558 ~ 13.0\n", + "RMSE Y = 0.01997806091364673 ~ 0.02\n", + "SNR = 54.40307613406894\n", + "SNR (dB) = 26.101263377254583\n", + "G = 100\n", + "mean Xik = 1.0072656415098586 ~ 1.0\n", + "mean Yig = 0.13095716080576733 ~ 0.13\n", + "mean power Yig = 0.020915923057549062\n", + "mean |Yi| = 13.095716080576734 ~ 13.0\n", + "RMSE Y = 0.019993468449915577 ~ 0.02\n", + "SNR = 52.289807643872656\n", + "SNR (dB) = 25.705071084325837\n", + "G = 100\n", + "mean Xik = 1.0113151594269998 ~ 1.0\n", + "mean Yig = 0.1314550367608967 ~ 0.13\n", + "mean power Yig = 0.021103577366394715\n", + "mean |Yi| = 13.145503676089671 ~ 13.0\n", + "RMSE Y = 0.019925867077380033 ~ 0.02\n", + "SNR = 52.758943415986785\n", + "SNR (dB) = 25.794389402964512\n", + "G = 100\n", + "mean Xik = 1.0076039597006845 ~ 1.0\n", + "mean Yig = 0.13105016834656652 ~ 0.13\n", + "mean power Yig = 0.02115053781047927\n", + "mean |Yi| = 13.105016834656654 ~ 13.0\n", + "RMSE Y = 0.020032698567936835 ~ 0.02\n", + "SNR = 52.876344526198174\n", + "SNR (dB) = 25.8166170431471\n", + "[0.9893337928469663, 0.9872868815743152, 1.0022280287224936, 1.0047509276445028, 1.009423449659573, 1.0204088506054216, 1.0123062785083323, 0.997520734161162, 0.9734736462567224, 0.9978453861940257, 0.9739974174444335, 1.0107400806490363, 0.9891613262705083, 0.9926910388108751, 0.9889312969913563, 0.9919865166156114]\n", + "[0.9893337928469663, 0.9872868815743152, 1.0022280287224936, 1.0047509276445028, 1.009423449659573, 1.0204088506054216, 1.0123062785083323, 0.997520734161162, 0.9734736462567224, 0.9978453861940257, 0.9739974174444335, 1.0107400806490363, 0.9891613262705083, 0.9926910388108751, 0.9889312969913563, 0.9919865166156114]\n", + "[0.9893337928469663, 0.9872868815743152, 1.0022280287224936, 1.0047509276445028, 1.009423449659573, 1.0204088506054216, 1.0123062785083323, 0.997520734161162, 0.9734736462567224, 0.9978453861940257, 0.9739974174444335, 1.0107400806490363, 0.9891613262705083, 0.9926910388108751, 0.9889312969913563, 0.9919865166156114]\n", + 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1.0047509276445028, 1.009423449659573, 1.0204088506054216, 1.0123062785083323, 0.997520734161162, 0.9734736462567224, 0.9978453861940257, 0.9739974174444335, 1.0107400806490363, 0.9891613262705083, 0.9926910388108751, 0.9889312969913563, 0.9919865166156114]\n", + "[0.9893337928469663, 0.9872868815743152, 1.0022280287224936, 1.0047509276445028, 1.009423449659573, 1.0204088506054216, 1.0123062785083323, 0.997520734161162, 0.9734736462567224, 0.9978453861940257, 0.9739974174444335, 1.0107400806490363, 0.9891613262705083, 0.9926910388108751, 0.9889312969913563, 0.9919865166156114]\n", + "[0.9893337928469663, 0.9872868815743152, 1.0022280287224936, 1.0047509276445028, 1.009423449659573, 1.0204088506054216, 1.0123062785083323, 0.997520734161162, 0.9734736462567224, 0.9978453861940257, 0.9739974174444335, 1.0107400806490363, 0.9891613262705083, 0.9926910388108751, 0.9889312969913563, 0.9919865166156114]\n", + "[0.9893337928469663, 0.9872868815743152, 1.0022280287224936, 1.0047509276445028, 1.009423449659573, 1.0204088506054216, 1.0123062785083323, 0.997520734161162, 0.9734736462567224, 0.9978453861940257, 0.9739974174444335, 1.0107400806490363, 0.9891613262705083, 0.9926910388108751, 0.9889312969913563, 0.9919865166156114]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.9799176046520944 ~ 1.0\n", + "mean Yig = 0.12742706872281 ~ 0.13\n", + "mean power Yig = 0.019461442271572833\n", + "mean |Yi| = 12.742706872281 ~ 13.0\n", + "RMSE Y = 0.020003619110399145 ~ 0.02\n", + "SNR = 48.65360567893208\n", + "SNR (dB) = 24.984315594406294\n", + "G = 100\n", + "mean Xik = 1.016033485627615 ~ 1.0\n", + "mean Yig = 0.1319953468054662 ~ 0.13\n", + "mean power Yig = 0.020856327420649075\n", + "mean |Yi| = 13.19953468054662 ~ 13.0\n", + "RMSE Y = 0.020033436732664056 ~ 0.02\n", + "SNR = 52.14081855162269\n", + "SNR (dB) = 25.676537463727588\n", + "G = 100\n", + "mean Xik = 0.9972420475682098 ~ 1.0\n", + "mean Yig = 0.12954088789684962 ~ 0.13\n", + "mean power Yig = 0.020211272467525836\n", + "mean |Yi| = 12.954088789684963 ~ 13.0\n", + "RMSE Y = 0.02004039429115289 ~ 0.02\n", + "SNR = 50.52818116881459\n", + "SNR (dB) = 25.36236862460185\n", + "G = 100\n", + "mean Xik = 0.999184340732012 ~ 1.0\n", + "mean Yig = 0.12993189009345205 ~ 0.13\n", + "mean power Yig = 0.020171472810649262\n", + "mean |Yi| = 12.99318900934521 ~ 13.0\n", + "RMSE Y = 0.02000065956908922 ~ 0.02\n", + "SNR = 50.42868202662315\n", + "SNR (dB) = 25.342657399181867\n", + "G = 100\n", + "mean Xik = 1.0296583510345363 ~ 1.0\n", + "mean Yig = 0.13391448096348513 ~ 0.13\n", + "mean power Yig = 0.021390971348006806\n", + "mean |Yi| = 13.391448096348514 ~ 13.0\n", + "RMSE Y = 0.019937673933319335 ~ 0.02\n", + "SNR = 53.47742837001701\n", + "SNR (dB) = 25.929653041315323\n", + "G = 100\n", + "mean Xik = 0.9869356194181276 ~ 1.0\n", + "mean Yig = 0.1282329867288589 ~ 0.13\n", + "mean power Yig = 0.01979154418426098\n", + "mean |Yi| = 12.82329867288589 ~ 13.0\n", + "RMSE Y = 0.01999527244004596 ~ 0.02\n", + "SNR = 49.47886046065245\n", + "SNR (dB) = 25.152511558371025\n", + "G = 100\n", + "mean Xik = 1.00450320856245 ~ 1.0\n", + "mean Yig = 0.1304803010772546 ~ 0.13\n", + "mean power Yig = 0.02042858743710934\n", + "mean |Yi| = 13.048030107725463 ~ 13.0\n", + "RMSE Y = 0.020052825580733853 ~ 0.02\n", + "SNR = 51.07146859277335\n", + "SNR (dB) = 25.469316355932744\n", + "G = 100\n", + "mean Xik = 0.9963528313673193 ~ 1.0\n", + "mean Yig = 0.1295374442978399 ~ 0.13\n", + "mean power Yig = 0.02037948631586952\n", + "mean |Yi| = 12.953744429783987 ~ 13.0\n", + "RMSE Y = 0.020051165444238447 ~ 0.02\n", + "SNR = 50.9487157896738\n", + "SNR (dB) = 25.445251929254688\n", + "G = 100\n", + "mean Xik = 1.012499728955888 ~ 1.0\n", + "mean Yig = 0.13163130851999288 ~ 0.13\n", + "mean power Yig = 0.020933759217474486\n", + "mean |Yi| = 13.16313085199929 ~ 13.0\n", + "RMSE Y = 0.020028090196342795 ~ 0.02\n", + "SNR = 52.334398043686214\n", + "SNR (dB) = 25.713595001371683\n", + "G = 100\n", + "mean Xik = 1.0161542775773822 ~ 1.0\n", + "mean Yig = 0.13202662840020396 ~ 0.13\n", + "mean power Yig = 0.02084889934729284\n", + "mean |Yi| = 13.202662840020395 ~ 13.0\n", + "RMSE Y = 0.019840058780498174 ~ 0.02\n", + "SNR = 52.1222483682321\n", + "SNR (dB) = 25.672975285070166\n", + "G = 100\n", + "mean Xik = 0.9865682285269984 ~ 1.0\n", + "mean Yig = 0.12829628169798407 ~ 0.13\n", + "mean power Yig = 0.01977513386222481\n", + "mean |Yi| = 12.829628169798404 ~ 13.0\n", + "RMSE Y = 0.019987367714513427 ~ 0.02\n", + "SNR = 49.43783465556202\n", + "SNR (dB) = 25.144216536505475\n", + "G = 100\n", + "mean Xik = 0.9813851325443808 ~ 1.0\n", + "mean Yig = 0.12762928649029964 ~ 0.13\n", + "mean power Yig = 0.019585483746375226\n", + "mean |Yi| = 12.762928649029966 ~ 13.0\n", + "RMSE Y = 0.019967405257924543 ~ 0.02\n", + "SNR = 48.963709365938065\n", + "SNR (dB) = 25.047850374074734\n", + "G = 100\n", + "mean Xik = 1.0029215418202693 ~ 1.0\n", + "mean Yig = 0.13039413009357756 ~ 0.13\n", + "mean power Yig = 0.020474353288227293\n", + "mean |Yi| = 13.039413009357757 ~ 13.0\n", + "RMSE Y = 0.02006210711034482 ~ 0.02\n", + "SNR = 51.18588322056823\n", + "SNR (dB) = 25.49169414560003\n", + "G = 100\n", + "mean Xik = 1.0089885661449987 ~ 1.0\n", + "mean Yig = 0.13117150306886569 ~ 0.13\n", + "mean power Yig = 0.020660406949510744\n", + "mean |Yi| = 13.117150306886568 ~ 13.0\n", + "RMSE Y = 0.020096675309616077 ~ 0.02\n", + "SNR = 51.65101737377686\n", + "SNR (dB) = 25.58215531711142\n", + "G = 100\n", + "mean Xik = 0.9911472596833466 ~ 1.0\n", + "mean Yig = 0.1288783283096977 ~ 0.13\n", + "mean power Yig = 0.02000990453127403\n", + "mean |Yi| = 12.887832830969769 ~ 13.0\n", + "RMSE Y = 0.01998397014857621 ~ 0.02\n", + "SNR = 50.02476132818507\n", + "SNR (dB) = 25.262237482877516\n", + "G = 100\n", + "mean Xik = 0.9901117219491142 ~ 1.0\n", + "mean Yig = 0.12863804063092743 ~ 0.13\n", + "mean power Yig = 0.020031869079166337\n", + "mean |Yi| = 12.863804063092738 ~ 13.0\n", + "RMSE Y = 0.019989470632627734 ~ 0.02\n", + "SNR = 50.07967269791584\n", + "SNR (dB) = 25.273208300658474\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "[1.0201914028391161, 0.9848832034328685, 1.0035441481882998, 1.0005241969965872, 0.9707688000930048, 1.0137797092325187, 0.9963189763260106, 1.003570826216832, 0.9876069869825451, 0.9846498511341155, 1.013279561024431, 1.018574996185382, 0.9969773938957627, 0.9910689209053994, 1.0087033382960005, 1.010587531980374]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.999901380526341 ~ 1.0\n", + "mean Yig = 0.13006942942613917 ~ 0.13\n", + "mean power Yig = 0.020630304155472366\n", + "mean |Yi| = 13.006942942613916 ~ 13.0\n", + "RMSE Y = 0.019988840354675626 ~ 0.02\n", + "SNR = 51.57576038868091\n", + "SNR (dB) = 25.567574410865888\n", + "G = 100\n", + "mean Xik = 1.0040979095962994 ~ 1.0\n", + "mean Yig = 0.1303032167700743 ~ 0.13\n", + "mean power Yig = 0.020720239340397933\n", + "mean |Yi| = 13.030321677007429 ~ 13.0\n", + "RMSE Y = 0.01997433347331552 ~ 0.02\n", + "SNR = 51.80059835099483\n", + "SNR (dB) = 25.611073392563387\n", + "G = 100\n", + "mean Xik = 0.9992024605513633 ~ 1.0\n", + "mean Yig = 0.12991242277890386 ~ 0.13\n", + "mean power Yig = 0.02048282619460537\n", + "mean |Yi| = 12.991242277890386 ~ 13.0\n", + "RMSE Y = 0.020042307198208664 ~ 0.02\n", + "SNR = 51.20706548651342\n", + "SNR (dB) = 25.495831591882183\n", + "G = 100\n", + "mean Xik = 0.9898651440434603 ~ 1.0\n", + "mean Yig = 0.12866156192518102 ~ 0.13\n", + "mean power Yig = 0.02030955765114804\n", + "mean |Yi| = 12.866156192518101 ~ 13.0\n", + "RMSE Y = 0.020138480794839594 ~ 0.02\n", + "SNR = 50.7738941278701\n", + "SNR (dB) = 25.410879662545256\n", + "G = 100\n", + "mean Xik = 0.9961186654376322 ~ 1.0\n", + "mean Yig = 0.12956989847904551 ~ 0.13\n", + "mean power Yig = 0.020306393413930954\n", + "mean |Yi| = 12.956989847904552 ~ 13.0\n", + "RMSE Y = 0.019956589153890435 ~ 0.02\n", + "SNR = 50.765983534827384\n", + "SNR (dB) = 25.4093215371583\n", + "G = 100\n", + "mean Xik = 1.0004300999221307 ~ 1.0\n", + "mean Yig = 0.1300027936630689 ~ 0.13\n", + "mean power Yig = 0.02065227320595042\n", + "mean |Yi| = 13.000279366306895 ~ 13.0\n", + "RMSE Y = 0.0199482480375228 ~ 0.02\n", + "SNR = 51.63068301487604\n", + "SNR (dB) = 25.57821766715271\n", + "G = 100\n", + "mean Xik = 0.9990333543455391 ~ 1.0\n", + "mean Yig = 0.12989219549764533 ~ 0.13\n", + "mean power Yig = 0.02050329557338567\n", + "mean |Yi| = 12.98921954976453 ~ 13.0\n", + "RMSE Y = 0.020050253328646184 ~ 0.02\n", + "SNR = 51.25823893346417\n", + "SNR (dB) = 25.505820036555242\n", + "G = 100\n", + "mean Xik = 1.002531576871656 ~ 1.0\n", + "mean Yig = 0.13051893170593482 ~ 0.13\n", + "mean power Yig = 0.020688957667243615\n", + "mean |Yi| = 13.051893170593484 ~ 13.0\n", + "RMSE Y = 0.020023721173242904 ~ 0.02\n", + "SNR = 51.722394168109034\n", + "SNR (dB) = 25.59596482665757\n", + "G = 100\n", + "mean Xik = 1.0048974853353405 ~ 1.0\n", + "mean Yig = 0.13061813118909524 ~ 0.13\n", + "mean power Yig = 0.020693227346683007\n", + "mean |Yi| = 13.061813118909523 ~ 13.0\n", + "RMSE Y = 0.020170086770161456 ~ 0.02\n", + "SNR = 51.73306836670751\n", + "SNR (dB) = 25.598028361704408\n", + "G = 100\n", + "mean Xik = 0.9963241672175754 ~ 1.0\n", + "mean Yig = 0.12942620136620056 ~ 0.13\n", + "mean power Yig = 0.020225465897351302\n", + "mean |Yi| = 12.942620136620056 ~ 13.0\n", + "RMSE Y = 0.019997280601343925 ~ 0.02\n", + "SNR = 50.563664743378254\n", + "SNR (dB) = 25.369388691492645\n", + "G = 100\n", + "mean Xik = 1.0068723267939192 ~ 1.0\n", + "mean Yig = 0.13085321820291743 ~ 0.13\n", + "mean power Yig = 0.02082653704705897\n", + "mean |Yi| = 13.085321820291743 ~ 13.0\n", + "RMSE Y = 0.019987760916303825 ~ 0.02\n", + "SNR = 52.06634261764742\n", + "SNR (dB) = 25.662243638654537\n", + "G = 100\n", + "mean Xik = 0.9830315396410026 ~ 1.0\n", + "mean Yig = 0.12779628513220387 ~ 0.13\n", + "mean power Yig = 0.01972129705084544\n", + "mean |Yi| = 12.779628513220388 ~ 13.0\n", + "RMSE Y = 0.020031391285490585 ~ 0.02\n", + "SNR = 49.3032426271136\n", + "SNR (dB) = 25.11695491135225\n", + "G = 100\n", + "mean Xik = 1.0165734418925907 ~ 1.0\n", + "mean Yig = 0.13220880038868318 ~ 0.13\n", + "mean power Yig = 0.02123436503653905\n", + "mean |Yi| = 13.220880038868318 ~ 13.0\n", + "RMSE Y = 0.019955118137839265 ~ 0.02\n", + "SNR = 53.08591259134762\n", + "SNR (dB) = 25.856172323318653\n", + "G = 100\n", + "mean Xik = 0.994481488156642 ~ 1.0\n", + "mean Yig = 0.12934589551241626 ~ 0.13\n", + "mean power Yig = 0.020274593127688343\n", + "mean |Yi| = 12.934589551241626 ~ 13.0\n", + "RMSE Y = 0.020133329705858127 ~ 0.02\n", + "SNR = 50.686482819220856\n", + "SNR (dB) = 25.39364902869467\n", + "G = 100\n", + "mean Xik = 0.9925565812172631 ~ 1.0\n", + "mean Yig = 0.12900260326225776 ~ 0.13\n", + "mean power Yig = 0.020431848326188867\n", + "mean |Yi| = 12.900260326225776 ~ 13.0\n", + "RMSE Y = 0.020061671423515007 ~ 0.02\n", + "SNR = 51.07962081547216\n", + "SNR (dB) = 25.470912466706178\n", + "G = 100\n", + "mean Xik = 1.012260220866783 ~ 1.0\n", + "mean Yig = 0.13157148174130734 ~ 0.13\n", + "mean power Yig = 0.02093066742628702\n", + "mean |Yi| = 13.157148174130734 ~ 13.0\n", + "RMSE Y = 0.019902608519655255 ~ 0.02\n", + "SNR = 52.32666856571755\n", + "SNR (dB) = 25.712117952028862\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "[0.9994662125724278, 0.9976729909085106, 1.0006741250699727, 1.0104027811787122, 1.0033194555680234, 0.999978510745883, 1.0008299536545802, 0.9960240886195421, 0.9952676463560762, 1.0044334039610414, 0.9934795779986525, 1.0172439665637887, 0.9832930910636094, 1.0050570177352165, 1.007731601630663, 0.9880560610817081]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.996616776566474 ~ 1.0\n", + "mean Yig = 0.1296365704889892 ~ 0.13\n", + "mean power Yig = 0.02011749695027262\n", + "mean |Yi| = 12.96365704889892 ~ 13.0\n", + "RMSE Y = 0.020012167531543376 ~ 0.02\n", + "SNR = 50.293742375681546\n", + "SNR (dB) = 25.315863021966596\n", + "G = 100\n", + "mean Xik = 1.0113867445172704 ~ 1.0\n", + "mean Yig = 0.13147099538755652 ~ 0.13\n", + "mean power Yig = 0.020723530552567686\n", + "mean |Yi| = 13.147099538755656 ~ 13.0\n", + "RMSE Y = 0.01997672290047419 ~ 0.02\n", + "SNR = 51.808826381419216\n", + "SNR (dB) = 25.612661670939207\n", + "G = 100\n", + "mean Xik = 0.9930286796737376 ~ 1.0\n", + "mean Yig = 0.12906250923575832 ~ 0.13\n", + "mean power Yig = 0.019944012077634\n", + "mean |Yi| = 12.906250923575831 ~ 13.0\n", + "RMSE Y = 0.01986654693828176 ~ 0.02\n", + "SNR = 49.860030194085\n", + "SNR (dB) = 25.22925322552654\n", + "G = 100\n", + "mean Xik = 1.0217955051101588 ~ 1.0\n", + "mean Yig = 0.13277616599760209 ~ 0.13\n", + "mean power Yig = 0.021195832926011203\n", + "mean |Yi| = 13.277616599760204 ~ 13.0\n", + "RMSE Y = 0.019898749804459232 ~ 0.02\n", + "SNR = 52.989582315028\n", + "SNR (dB) = 25.83800973017953\n", + "G = 100\n", + "mean Xik = 0.9984957629811708 ~ 1.0\n", + "mean Yig = 0.12981005677101676 ~ 0.13\n", + "mean power Yig = 0.020270369184612853\n", + "mean |Yi| = 12.981005677101676 ~ 13.0\n", + "RMSE Y = 0.020023080861329368 ~ 0.02\n", + "SNR = 50.67592296153213\n", + "SNR (dB) = 25.39156544402724\n", + "G = 100\n", + "mean Xik = 0.9872934573857914 ~ 1.0\n", + "mean Yig = 0.12850535945591468 ~ 0.13\n", + "mean power Yig = 0.01985336157549911\n", + "mean |Yi| = 12.850535945591465 ~ 13.0\n", + "RMSE Y = 0.01997100612356816 ~ 0.02\n", + "SNR = 49.633403938747776\n", + "SNR (dB) = 25.18369712441202\n", + "G = 100\n", + "mean Xik = 0.9921712902316281 ~ 1.0\n", + "mean Yig = 0.12902531957189337 ~ 0.13\n", + "mean power Yig = 0.02002580288117372\n", + "mean |Yi| = 12.902531957189337 ~ 13.0\n", + "RMSE Y = 0.01998153341211669 ~ 0.02\n", + "SNR = 50.064507202934294\n", + "SNR (dB) = 25.270179568462062\n", + "G = 100\n", + "mean Xik = 1.0029215423013977 ~ 1.0\n", + "mean Yig = 0.13031300058293838 ~ 0.13\n", + "mean power Yig = 0.02035872152553458\n", + "mean |Yi| = 13.031300058293839 ~ 13.0\n", + "RMSE Y = 0.019930853450009743 ~ 0.02\n", + "SNR = 50.89680381383645\n", + "SNR (dB) = 25.435057670236688\n", + "G = 100\n", + "mean Xik = 1.0027070736140726 ~ 1.0\n", + "mean Yig = 0.13057961965076834 ~ 0.13\n", + "mean power Yig = 0.020577532332666345\n", + "mean |Yi| = 13.057961965076833 ~ 13.0\n", + "RMSE Y = 0.019993985033362402 ~ 0.02\n", + "SNR = 51.443830831665856\n", + "SNR (dB) = 25.54196187880787\n", + "G = 100\n", + "mean Xik = 1.010364093043226 ~ 1.0\n", + "mean Yig = 0.1314607413368133 ~ 0.13\n", + "mean power Yig = 0.020752002182493352\n", + "mean |Yi| = 13.146074133681331 ~ 13.0\n", + "RMSE Y = 0.019852347062414604 ~ 0.02\n", + "SNR = 51.88000545623338\n", + "SNR (dB) = 25.626391034986128\n", + "G = 100\n", + "mean Xik = 0.9970509766922557 ~ 1.0\n", + "mean Yig = 0.12960243192902118 ~ 0.13\n", + "mean power Yig = 0.020238475712358494\n", + "mean |Yi| = 12.960243192902118 ~ 13.0\n", + "RMSE Y = 0.019964943557200843 ~ 0.02\n", + "SNR = 50.59618928089623\n", + "SNR (dB) = 25.375819016833148\n", + "G = 100\n", + "mean Xik = 1.0079542357751674 ~ 1.0\n", + "mean Yig = 0.13102404536029347 ~ 0.13\n", + "mean power Yig = 0.0205825093415673\n", + "mean |Yi| = 13.102404536029349 ~ 13.0\n", + "RMSE Y = 0.02000799814488383 ~ 0.02\n", + "SNR = 51.45627335391825\n", + "SNR (dB) = 25.54438024804307\n", + "G = 100\n", + "mean Xik = 0.9902484272426992 ~ 1.0\n", + "mean Yig = 0.1287362114566095 ~ 0.13\n", + "mean power Yig = 0.02002622410974481\n", + "mean |Yi| = 12.873621145660948 ~ 13.0\n", + "RMSE Y = 0.019927851029369722 ~ 0.02\n", + "SNR = 50.06556027436202\n", + "SNR (dB) = 25.270389909162773\n", + "G = 100\n", + "mean Xik = 0.9977121546713483 ~ 1.0\n", + "mean Yig = 0.1297478404058989 ~ 0.13\n", + "mean power Yig = 0.020325179763522747\n", + "mean |Yi| = 12.974784040589892 ~ 13.0\n", + "RMSE Y = 0.019958615665712172 ~ 0.02\n", + "SNR = 50.812949408806865\n", + "SNR (dB) = 25.418568706027905\n", + "G = 100\n", + "mean Xik = 1.0073439939021074 ~ 1.0\n", + "mean Yig = 0.1309537816376214 ~ 0.13\n", + "mean power Yig = 0.020679523768382183\n", + "mean |Yi| = 13.095378163762138 ~ 13.0\n", + "RMSE Y = 0.019949674217525113 ~ 0.02\n", + "SNR = 51.698809420955456\n", + "SNR (dB) = 25.59140391521119\n", + "G = 100\n", + "mean Xik = 0.9957207322317341 ~ 1.0\n", + "mean Yig = 0.12942266557241144 ~ 0.13\n", + "mean power Yig = 0.020239479232523543\n", + "mean |Yi| = 12.942266557241142 ~ 13.0\n", + "RMSE Y = 0.019906486746838092 ~ 0.02\n", + "SNR = 50.598698081308854\n", + "SNR (dB) = 25.376314852241148\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "[1.0028034489777071, 0.988811255416297, 1.0072638504380012, 0.9790913830299017, 1.0014632397035177, 1.0116309588208117, 1.0075541795311231, 0.9975980862881046, 0.9955611782886294, 0.9888883835435648, 1.003067597305555, 0.9921842944363568, 1.0098168846907265, 1.0019434588915872, 0.9927166544891334, 1.004460844822158]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 1.0024418578446248 ~ 1.0\n", + "mean Yig = 0.13022454068774397 ~ 0.13\n", + "mean power Yig = 0.02093251738068451\n", + "mean |Yi| = 13.022454068774396 ~ 13.0\n", + "RMSE Y = 0.019932300472426806 ~ 0.02\n", + "SNR = 52.33129345171127\n", + "SNR (dB) = 25.713001761709002\n", + "G = 100\n", + "mean Xik = 0.9955688789655223 ~ 1.0\n", + "mean Yig = 0.12951368035239377 ~ 0.13\n", + "mean power Yig = 0.020759010642991328\n", + "mean |Yi| = 12.951368035239375 ~ 13.0\n", + "RMSE Y = 0.019990788024299527 ~ 0.02\n", + "SNR = 51.89752660747832\n", + "SNR (dB) = 25.629767710276624\n", + "G = 100\n", + "mean Xik = 1.0017261753482432 ~ 1.0\n", + "mean Yig = 0.1302997877888485 ~ 0.13\n", + "mean power Yig = 0.021089965343599852\n", + "mean |Yi| = 13.02997877888485 ~ 13.0\n", + "RMSE Y = 0.020000629239760547 ~ 0.02\n", + "SNR = 52.72491335899963\n", + "SNR (dB) = 25.78793721981381\n", + "G = 100\n", + "mean Xik = 0.9782143525861942 ~ 1.0\n", + "mean Yig = 0.1272445973364008 ~ 0.13\n", + "mean power Yig = 0.020023241785154893\n", + "mean |Yi| = 12.72445973364008 ~ 13.0\n", + "RMSE Y = 0.020015772768518077 ~ 0.02\n", + "SNR = 50.05810446288723\n", + "SNR (dB) = 25.26890058862938\n", + "G = 100\n", + "mean Xik = 1.014661545115637 ~ 1.0\n", + "mean Yig = 0.1318282798569333 ~ 0.13\n", + "mean power Yig = 0.021502954800524863\n", + "mean |Yi| = 13.18282798569333 ~ 13.0\n", + "RMSE Y = 0.02001982869447934 ~ 0.02\n", + "SNR = 53.75738700131215\n", + "SNR (dB) = 25.981867290274412\n", + "G = 100\n", + "mean Xik = 1.016257519499067 ~ 1.0\n", + "mean Yig = 0.13207902760676507 ~ 0.13\n", + "mean power Yig = 0.021410970652977784\n", + "mean |Yi| = 13.20790276067651 ~ 13.0\n", + "RMSE Y = 0.019961791244670995 ~ 0.02\n", + "SNR = 53.52742663244446\n", + "SNR (dB) = 25.938998087587276\n", + "G = 100\n", + "mean Xik = 1.0190981956758864 ~ 1.0\n", + "mean Yig = 0.13261341059032214 ~ 0.13\n", + "mean power Yig = 0.021604235362030193\n", + "mean |Yi| = 13.261341059032217 ~ 13.0\n", + "RMSE Y = 0.02008026904744489 ~ 0.02\n", + "SNR = 54.01058840507548\n", + "SNR (dB) = 26.028857477983763\n", + "G = 100\n", + "mean Xik = 1.0015440613990452 ~ 1.0\n", + "mean Yig = 0.13018798133319098 ~ 0.13\n", + "mean power Yig = 0.020975489802373386\n", + "mean |Yi| = 13.018798133319098 ~ 13.0\n", + "RMSE Y = 0.019982212186404388 ~ 0.02\n", + "SNR = 52.438724505933465\n", + "SNR (dB) = 25.733509745570984\n", + "G = 100\n", + "mean Xik = 0.9924899536404194 ~ 1.0\n", + "mean Yig = 0.1290232349418533 ~ 0.13\n", + "mean power Yig = 0.020854863499303947\n", + "mean |Yi| = 12.902323494185334 ~ 13.0\n", + "RMSE Y = 0.019971400802546117 ~ 0.02\n", + "SNR = 52.137158748259864\n", + "SNR (dB) = 25.67583553155378\n", + "G = 100\n", + "mean Xik = 0.9996995318229707 ~ 1.0\n", + "mean Yig = 0.1298162091713721 ~ 0.13\n", + "mean power Yig = 0.02074036366208413\n", + "mean |Yi| = 12.981620917137214 ~ 13.0\n", + "RMSE Y = 0.02001658617981547 ~ 0.02\n", + "SNR = 51.85090915521032\n", + "SNR (dB) = 25.62078107735775\n", + "G = 100\n", + "mean Xik = 1.0054771757785477 ~ 1.0\n", + "mean Yig = 0.13087738555165765 ~ 0.13\n", + "mean power Yig = 0.021090583332258495\n", + "mean |Yi| = 13.087738555165764 ~ 13.0\n", + "RMSE Y = 0.02000686500769767 ~ 0.02\n", + "SNR = 52.72645833064623\n", + "SNR (dB) = 25.788230240496603\n", + "G = 100\n", + "mean Xik = 0.9855099650998351 ~ 1.0\n", + "mean Yig = 0.1282448824843749 ~ 0.13\n", + "mean power Yig = 0.020256664075015293\n", + "mean |Yi| = 12.82448824843749 ~ 13.0\n", + "RMSE Y = 0.020081448615235278 ~ 0.02\n", + "SNR = 50.64166018753823\n", + "SNR (dB) = 25.384802002927465\n", + "G = 100\n", + "mean Xik = 1.0074418795523137 ~ 1.0\n", + "mean Yig = 0.13104175947754113 ~ 0.13\n", + "mean power Yig = 0.0212222130636362\n", + "mean |Yi| = 13.104175947754113 ~ 13.0\n", + "RMSE Y = 0.019962330898721483 ~ 0.02\n", + "SNR = 53.0555326590905\n", + "SNR (dB) = 25.850447899081725\n", + "G = 100\n", + "mean Xik = 1.0202088418107385 ~ 1.0\n", + "mean Yig = 0.1326195496558774 ~ 0.13\n", + "mean power Yig = 0.0215814237759838\n", + "mean |Yi| = 13.26195496558774 ~ 13.0\n", + "RMSE Y = 0.01992703655953439 ~ 0.02\n", + "SNR = 53.9535594399595\n", + "SNR (dB) = 26.01829305052181\n", + "G = 100\n", + "mean Xik = 0.9859948176889712 ~ 1.0\n", + "mean Yig = 0.1280948114976535 ~ 0.13\n", + "mean power Yig = 0.02023032459901864\n", + "mean |Yi| = 12.80948114976535 ~ 13.0\n", + "RMSE Y = 0.019942252891707597 ~ 0.02\n", + "SNR = 50.5758114975466\n", + "SNR (dB) = 25.371790672336964\n", + "G = 100\n", + "mean Xik = 1.0090376022911898 ~ 1.0\n", + "mean Yig = 0.1310497904513933 ~ 0.13\n", + "mean power Yig = 0.021063270315119845\n", + "mean |Yi| = 13.104979045139332 ~ 13.0\n", + "RMSE Y = 0.01998282513397369 ~ 0.02\n", + "SNR = 52.658175787799614\n", + "SNR (dB) = 25.775271510227565\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "[0.9982757421407815, 1.003754967400224, 0.9976992457628995, 1.0216543784276724, 0.9861313531594478, 0.9842592147713646, 0.9802930142684009, 0.9985560776711802, 1.0075704585967549, 1.0014157771960914, 0.9932961256220133, 1.0136856729221841, 0.9920501717796327, 0.9802476357167956, 1.0148732683242319, 0.9919893771079116]\n", + "Creating M...\n", + "Creating X, A, and p...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Creating Y...\n", + "Finished\n", + "G = 100\n", + "mean Xik = 0.9868849427402226 ~ 1.0\n", + "mean Yig = 0.1282523493223466 ~ 0.13\n", + "mean power Yig = 0.020086685239841823\n", + "mean |Yi| = 12.825234932234661 ~ 13.0\n", + "RMSE Y = 0.020051431066025548 ~ 0.02\n", + "SNR = 50.216713099604554\n", + "SNR (dB) = 25.300535404398154\n", + "G = 100\n", + "mean Xik = 0.9823532072576171 ~ 1.0\n", + "mean Yig = 0.12779379819118292 ~ 0.13\n", + "mean power Yig = 0.02001100565859538\n", + "mean |Yi| = 12.779379819118294 ~ 13.0\n", + "RMSE Y = 0.01994910781846438 ~ 0.02\n", + "SNR = 50.02751414648845\n", + "SNR (dB) = 25.26278775887894\n", + "G = 100\n", + "mean Xik = 1.0001476519347228 ~ 1.0\n", + "mean Yig = 0.12997868775232405 ~ 0.13\n", + "mean power Yig = 0.02038878461696082\n", + "mean |Yi| = 12.997868775232401 ~ 13.0\n", + "RMSE Y = 0.019994397725965136 ~ 0.02\n", + "SNR = 50.97196154240205\n", + "SNR (dB) = 25.449813467450824\n", + "G = 100\n", + "mean Xik = 1.018775494281442 ~ 1.0\n", + "mean Yig = 0.13226822940174873 ~ 0.13\n", + "mean power Yig = 0.021324367638378586\n", + "mean |Yi| = 13.226822940174873 ~ 13.0\n", + "RMSE Y = 0.02010348237723571 ~ 0.02\n", + "SNR = 53.31091909594647\n", + "SNR (dB) = 25.89846810157917\n", + "G = 100\n", + "mean Xik = 0.9925076853927471 ~ 1.0\n", + "mean Yig = 0.12891917074108677 ~ 0.13\n", + "mean power Yig = 0.020322518622879038\n", + "mean |Yi| = 12.891917074108678 ~ 13.0\n", + "RMSE Y = 0.019982767198303924 ~ 0.02\n", + "SNR = 50.80629655719759\n", + "SNR (dB) = 25.417259337599603\n", + "G = 100\n", + "mean Xik = 0.9958825836722129 ~ 1.0\n", + "mean Yig = 0.12944551193668108 ~ 0.13\n", + "mean power Yig = 0.020490246133136665\n", + "mean |Yi| = 12.944551193668111 ~ 13.0\n", + "RMSE Y = 0.02000222894704861 ~ 0.02\n", + "SNR = 51.22561533284166\n", + "SNR (dB) = 25.499453452870817\n", + "G = 100\n", + "mean Xik = 1.0174119015694023 ~ 1.0\n", + "mean Yig = 0.13226719787628888 ~ 0.13\n", + "mean power Yig = 0.021521341832134132\n", + "mean |Yi| = 13.226719787628888 ~ 13.0\n", + "RMSE Y = 0.020087951824310248 ~ 0.02\n", + "SNR = 53.80335458033532\n", + "SNR (dB) = 25.990414568983304\n", + "G = 100\n", + "mean Xik = 1.00933408407999 ~ 1.0\n", + "mean Yig = 0.1313210204178894 ~ 0.13\n", + "mean power Yig = 0.02105645568655651\n", + "mean |Yi| = 13.132102041788944 ~ 13.0\n", + "RMSE Y = 0.019974390408003518 ~ 0.02\n", + "SNR = 52.641139216391274\n", + "SNR (dB) = 25.772035673117646\n", + "G = 100\n", + "mean Xik = 1.004784628911344 ~ 1.0\n", + "mean Yig = 0.1307445569830246 ~ 0.13\n", + "mean power Yig = 0.02102682987400063\n", + "mean |Yi| = 13.07445569830246 ~ 13.0\n", + "RMSE Y = 0.02000275549412934 ~ 0.02\n", + "SNR = 52.56707468500157\n", + "SNR (dB) = 25.757956060722684\n", + "G = 100\n", + "mean Xik = 1.006630380666097 ~ 1.0\n", + "mean Yig = 0.13100392562015947 ~ 0.13\n", + "mean power Yig = 0.020893801284801394\n", + "mean |Yi| = 13.100392562015946 ~ 13.0\n", + "RMSE Y = 0.02000455727965596 ~ 0.02\n", + "SNR = 52.23450321200348\n", + "SNR (dB) = 25.69448896489789\n", + "G = 100\n", + "mean Xik = 1.0030053886775685 ~ 1.0\n", + "mean Yig = 0.13048255805654205 ~ 0.13\n", + "mean power Yig = 0.020916186979372968\n", + "mean |Yi| = 13.048255805654208 ~ 13.0\n", + "RMSE Y = 0.01996752332780389 ~ 0.02\n", + "SNR = 52.290467448432416\n", + "SNR (dB) = 25.705197265780075\n", + "G = 100\n", + "mean Xik = 0.9938533615824874 ~ 1.0\n", + "mean Yig = 0.12911541064716417 ~ 0.13\n", + "mean power Yig = 0.02043009680094038\n", + "mean |Yi| = 12.911541064716417 ~ 13.0\n", + "RMSE Y = 0.019999632903599626 ~ 0.02\n", + "SNR = 51.07524200235094\n", + "SNR (dB) = 25.470055177488\n", + "G = 100\n", + "mean Xik = 0.9926960254511362 ~ 1.0\n", + "mean Yig = 0.12908359715160578 ~ 0.13\n", + "mean power Yig = 0.020387313774888352\n", + "mean |Yi| = 12.908359715160579 ~ 13.0\n", + "RMSE Y = 0.02011298316769949 ~ 0.02\n", + "SNR = 50.96828443722088\n", + "SNR (dB) = 25.449092043807507\n", + "G = 100\n", + "mean Xik = 0.9901245675921047 ~ 1.0\n", + "mean Yig = 0.12862250143544526 ~ 0.13\n", + "mean power Yig = 0.020155590423366405\n", + "mean |Yi| = 12.862250143544527 ~ 13.0\n", + "RMSE Y = 0.01999607962175312 ~ 0.02\n", + "SNR = 50.38897605841601\n", + "SNR (dB) = 25.33478061033074\n", + "G = 100\n", + "mean Xik = 1.0068796283958346 ~ 1.0\n", + "mean Yig = 0.13095910648560985 ~ 0.13\n", + "mean power Yig = 0.021040720729277287\n", + "mean |Yi| = 13.095910648560984 ~ 13.0\n", + "RMSE Y = 0.020047083021450234 ~ 0.02\n", + "SNR = 52.60180182319321\n", + "SNR (dB) = 25.764560132308652\n", + "G = 100\n", + "mean Xik = 0.990413316513659 ~ 1.0\n", + "mean Yig = 0.12887095961805026 ~ 0.13\n", + "mean power Yig = 0.020303659660636793\n", + "mean |Yi| = 12.887095961805024 ~ 13.0\n", + "RMSE Y = 0.019870517663478637 ~ 0.02\n", + "SNR = 50.759149151591984\n", + "SNR (dB) = 25.407975194028303\n", + "[1.0136266562514258, 1.0172637627180978, 1.000163967247589, 0.9828512908049954, 1.0083837745208888, 1.0042835634470673, 0.9828589558659176, 0.989940525791791, 0.9943052544579637, 0.9923366752911642, 0.9963017428250222, 1.0068511523791157, 1.0070992974213286, 1.0107096235042987, 0.9926762902454955, 1.0087610147801804]\n", + "[1.0136266562514258, 1.0172637627180978, 1.000163967247589, 0.9828512908049954, 1.0083837745208888, 1.0042835634470673, 0.9828589558659176, 0.989940525791791, 0.9943052544579637, 0.9923366752911642, 0.9963017428250222, 1.0068511523791157, 1.0070992974213286, 1.0107096235042987, 0.9926762902454955, 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1.0087610147801804]\n", + "[1.0136266562514258, 1.0172637627180978, 1.000163967247589, 0.9828512908049954, 1.0083837745208888, 1.0042835634470673, 0.9828589558659176, 0.989940525791791, 0.9943052544579637, 0.9923366752911642, 0.9963017428250222, 1.0068511523791157, 1.0070992974213286, 1.0107096235042987, 0.9926762902454955, 1.0087610147801804]\n", + "[1.0136266562514258, 1.0172637627180978, 1.000163967247589, 0.9828512908049954, 1.0083837745208888, 1.0042835634470673, 0.9828589558659176, 0.989940525791791, 0.9943052544579637, 0.9923366752911642, 0.9963017428250222, 1.0068511523791157, 1.0070992974213286, 1.0107096235042987, 0.9926762902454955, 1.0087610147801804]\n" + ] + } + ], + "source": [ + "# Create Datasets\n", + "save_dataset = True\n", + "# data_dir_main = '/media/data/ben/SpiceMix/data/synthetic_small/'\n", + "data_dir_main = '../data/'\n", + "\n", + "n_instances = 20\n", + "settings = [{'n_cells': 500, 'n_genes': 100, 'n_replicates': 16,\n", + " 'sigX_scale': 3.0, 'sigY_scale': 2.0,\n", + " 'lambda_m1': 4.0, 'lambda_m2': 8.0, 'lambda_s': 1.0,\n", + " 'gene_replace_prob': 0.0, 'element_replace_prob': 0.0,\n", + " 'n_noise_metagenes': 3}]\n", + "\n", + "synth_data = []\n", + "for setting in settings:\n", + " for i in range(n_instances):\n", + " D = Dataset(setting, dir_suffix=('i' + str(i)))\n", + " synth_data.append(D)\n", + " D.save_pickle()\n", + " D.reformat()" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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d1eo6OtGp9H+cr1PCfgDYOOfnDbTg5dp8knqZDfrtEXFXq7cPfBC4XNKLzL6V+ZCk77ahjgPAgYg48crmTmbD32ofBl6IiNGImALuAj7QhjoAXpX0DoD614NtqmNu/8e//G36P3ZK2B8BNksalLSE2Z0wd7eyAEli9j3qnoj4Wiu3fUJEXBcRGyJiE7O/gx9FRMtXsoj4JbBf0tn1m7YAz7S6DmZfvp8vqb/+99lC+3Zc3g1cXf/+auD77ShiTv/Hy3/r/o8R0RH/gEuY3bv4c+BLbdj+HzP71uFJ4In6v0va+Pv4U+CeNm7/D4Dh+u/jP4E1barj34C9wNPAd4ClLdjmLmb3EUwx+yrnGuA0ZvfC76t/XdumOp5jdv/Wiefojac6nw+XNStEp7yMN7Mmc9jNCuGwmxXCYTcrhMNuVgiH3awQDrtZIf4PzfV0RATJ8i8AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "D = synth_data[0]\n", + "plt.figure()\n", + "plt.imshow(pairwise_distances(D.M.T))\n", + "plt.show()\n", + "plt.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "scrolled": true + }, + "outputs": [ + { + "data": { + "image/png": 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\n", 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LHk+9fc3wJr/FLv7NLX0eEdkctE5JbnKVk7zOM0xwdhl3myW+XugVeWYHWdoY4ebc40lIpgPJYjCM8QZXObmMZxKRzUqhJDd5l+cJKBHTWOJOgyVHjr520KTltpAy6V8tSxpSs4PK4ldQ7kvDKsa3y4Qv8kuc4JcVTiJblMp3cpMqwxQYYv7oZa4cgzxIkZ1UGcYRU+MDYqoYQorcQYOrgCdHLzE1OuuWOiW8VCe03Lxfm18SjPDk8XgajPI6z/AgT2uOKaPGrp/h4oXjNOrXKZYG6d9xiPEbZxf9et/+YwwMHt7ox5YMUCjJTXrYS4NRDEGXuxIaXKPITgZ4iIv8GZ6EkAppQe4GeXopsosyH6LKMJOc4+awWWhOarE5qhYJMMUFYqr8kK/yY3xNwZQxY9fP8OapPyCOa3iXUK1e4dqV1yn33EmhuINa9SpXR17HBjkMUK1e4frV0xSKO6j07lFAbXMq38lNPsLnSagTUIA5wTRThrPk22OjFzjHfyCmSUCp3U0HPXyYXj6CJSRiijJ7KLMHM+uvnCHHcuagZvO0aHIdCIiY5HWeUSkvY94+/X/RqF8njmokSQuXNPE+oVb9gCiqUq9fBRJc0iBJmrikiXMt6rUrjF0/w1tv/HvGrp/Z6I8hG0ShJDfZxVEe5Gl6+Ug7RCwBZUJ626OnoF1wa03PD3latBglYpKYBlO8xw1OTwdVk2sMcC8/yTcY5FEsBRYeJS2HJ6GGJUdAiXd5ftU+u9yesetnqFUvM/PnOlOW9d5RnbyES+YuK5gtSRo06qOc+9GfrvmzSjapfCcL2sXR6e2A3uS3GOcdwGPJY8nhiYmowk1NCx6IcUCBQQBiajzI00DaRDHK6/PmlW6Fa29x1EOV4dt8L7lV8+eOatUrdPuHhnPRrK8Wmjv0eJ8wOXFhDZ5WNgOFknS1i6Nz1gad4Jf5gBfaG65254hxxASUeJX/lTqXccTtQOp8M1roG9NyWBIa1LhMH3fdwuvldl049x3Onf0zvE8IgiLNVpVWY3SJV3X/s/Y+vZ642/1Hi2xWKt/JinyEzy+7pdvRYoJ3GONNJjhDRG2J5onlM+2uvQaX+QifX5X3lOUbu36Gs2e+TRLXcUmLqDUxE0imsxRgLmNmzSeakIW//bRDyzvNK21TGinJiuziKAUG2u3e3SU0mdvqnRAzNe+uWxklGTyekAoFBtR9twHePfMneNda+KJ3BEGRJJlZ52ZMjiDIEcdNIMH7hO5/9oa33vj35PO9ONdS2/g2olCSFRvkYUZ4kYRGe9S02DeXbuucUoYAj+vyHjfL0UsvB9rroXYu+3WyeqpTl7pe9wv82XvvMQa8n72gerE/d0O9fp167RoAkxMXuXb1NIcOf4b9Bz9x6w8umafynazYR/g8BXZiyS1Sjlt+m7fHEVCafp2hOO/1c9+rwC528jCGkIS6SncbJI2Sxf+cXdJql+jA2BzWBng83juCoEAu30MuX1nglbMWU3uX/rf9jxbvWvzonT9WWW+LUyjJiu3iKI/yK+zgvva/iA1gsRSZ2V5otpv/mhkCitxJjgq93EUf95CjDwvk6aePwxTY1e72y1PkDg7yPzDEwzTbi3a1o8PG6e3du+Q93ieUe+4kF5bwOJxLg8raEO9i4mj+2VuWucsEFhhF+Vjt4lucyndySzot4yf4ZRqMtrcZukRMtd1hl24pBA6DnVPOMYTs4Ai2XX57nP99wz6H3JqDdz/JG6/+n7Ra413u8oRhiVJ5CO89EzfeBSzOxSSutcA4a+lyL8CNG+8ydv2M5pe2KI2U5LZ0dn+whOzgPnZwH/3czYM8TYV97TVNnYACCNjBfViV3za1gcHD3P/w3yUIy13vmxg/z+T4BRqNMXoqe8jle0iSJniPnzMQ6pTtltGd6R0v//A3ePGF/0WlvC1IoSS3pbP7Q5Gdc8pqh/kCj/A/s5MHyVFul+kOM8TH8MQqv20BA4OHeeiRL9P924gnjhs0alfZtftj3Hv/38Tame2lgqBEqbx7+t6VNLzUqiO8eeoPFExbjMp3ctvSBbY3h8v8hbey9QwMHiYISyRxddF7PI5yeTfjN86y/+AnGNx1hFZrijAsAtBqdZYJWMJcuT3XtJy1cJ44rnHxwnGV8rYQjZRE5LYEQUi3spt3CY36KNevvsHrL/9r+nccIkmaxHED7z312lWMCbA2BBxBmJ9+rTG5xd4VMO33vr6aH0c2mEJJRG5LYPMEwWLhAeBJkgbG5mi1prj8wQ+480M/jgHGb7xLHNWwNkextBNrQsBjbQEAY7stL3AYG1AsDa7ip5GNplASkdtS6dtLobST7uvTPElcY2pimFarynvv/jkT4+9hjCUIS2A8zeYNwlyZwObxPsGYAO+7d+SFYZl9+4+t6ueRjaVQEpHbsm//MawNCJfoxANIkjqtxihRVAUseI9LIrxzeOeoVUeI4jrex3if4N38U4qZ8/V9D/yPmk/aYhRKInJbBgYPc/ijn6XS+6FZv7r0rh7ONYnbAeRcC+dapDs3dIJo/rcnjzFBe8NX2DFwSIG0BSmUROS2DQwe5tHHf5EdA3cTBMUVvHKhNvD2JkZm9h557SvegYcgKHDw7idv55EloxRKIrJqDt79JKWeXfRU9kzvfXerFtpJ3AY5grDAwbs/rVHSFqV1SiKyajqlvIsXjuOSFq3WBM4l7YaF5W0jdLMAcFibY3DoiI6w2OIUSiKyqgYGD0+Hxtj1M5z70Z8yOXGBJGmx9JEVNzMGiqVd3Hv/31QYbQMKJRFZM2lA/SIA//XE/8HU5Ac4F7WbGrpJ55NskMMYq0DaRjSnJCLr4uDdT1Is76S3fz/L+dZjbUixNMjOwY8qkLYRhZKIrIvOfFM+X2Gp+aUgLGKspdkY0+LYbUahJCLrZmDwMA8+8vfptleese2thkyOfL5Xo6RtRnNKIrLu8oUKreYUC+0G3tv7YXL5HuK40R5VyXaiUBKRdbf/wCd598z/i8finaMTTrl8X3p8RdwgSZrs268FshshOh/RPNnEjTnsgKVwtEDuQLdNd1ePQklE1t3+g58A4ML5/0wc1QhzFYZ2PUwUTdCoX6dYGmTf/idVutsA0fmI+l/UMXmDqRh81VP/izp8inUJJoWSiGyI/Qc/MR1Okh3143XcuMPHPh3AOsDA1P89ReW/r6x5MCmURES2meh8RP14nWQkSUMnBFuymIohGU7SFrho1gs8UIep358i2BdQOlZas3BS952IyDYSnY+o/kmV5IN2IEVAHdyoI7mQpKOjaJEXO0iuJtT/ok50frGbbo9GSiIi20CneSE6F0GL9Lt/vNSrFnojMHlD82RzTUZLCiURkS2u/mKdxguNdBQUk5bjIlayBeEMD+TBjd3qBrvdqXwnIrKFRecjGn/ZAAcmZ25lT9ybtcAOrE18KJRERLaw+vF6Wq6LwDd9upnG0gcDL86Db3kKRwur9IRzqXwnIrJFRecjkkvJzKgoaf+4nVCyUPrU2nXfKZRERLag6HxE9Y+qCzczzC7dGZZXyrNAL+T25NZ0rZJCSURki+nsyuDrS6SNYXmhZMEOWkxg1qxs16FQEhHZYponm3jnF9rv9mbdmug6oZWDYChYlz3wFEoiIltMfDHGT/mlR0DLuG4HLOUny+u2Iau670REtpDofLS8QFqOEusaSKCRkojIllI/Xr/9QDJgdhh6Pt2zroEEGimJiGwpyUiyvO/s3drCAzYkkEAjJRGRrcWQhtJiDQzdrgF2lyUYCjYkkEAjJRGRLSW4I0iDKVjgYufXe0lLfPPvKbMubd/dKJRERLaQ0rESttdCnrm1MAMU0tAKB0LMLoMpmzSYQqACubtya7pbw3KofCcisoXkDuQoP1mmebKZ7uSdBz/lsZV2ULXSvet6fmZj5oyWolASEdlicgfmbgXUOUvJjTnsgKV4rJjJQAKFkojIljc/pLJMc0oiIpIZCiUREckMhZKIiGSGQklERDJDoSQiIpmhUBIRkcxQKImISGYolEREJDMUSiIikhkKJRERyQyFkoiIZIZCSUREMkOhJCIimaFQEhGRzFAoiYhIZmzq85SGx0Y4NXyGDyau0YyaeKCUK/Cxfffy8P57N/rxRERkhTZlKA2PjfCD868zMnEd592ca/VWgxfPvwagYBIR2WQ2XflueGyE7599mWtTYzcFEoDDYzy8cvGtDXg6ERG5HZsulE4NnyEMQuIkWfSexDsacWsdn0pERFbDpgul8cYUuaB71dHjKYb5dXoiERFZLZsulHI2ZGTiOuC73mcwDI+NrM9DiYjIqthUoTQ8NkItqhMn8RKRBLWoznff+YGCSURkE9lUofSD869TazVIFmhw6DDt/zrvGa9P8edvfE/BJCKySWyaUBoeG+HK5ChREi96j8EwE0upVtzi+2dfVjCJiGwCmyKUhsdG+M9v/hcSt3jHHaQNDn5WYa8TUmEQcmr4zBo/pYiI3K7ML57trEtqrrDF27RHTLl2+/j7U5f5vRe/TeISwiBkqGcHD+w9zN6B3Wvx2CIicgsyH0qddUmBtcRdRko9+RKNqDk939QZMTnvGK3ewBpDPWoA0IojrnjHn596gUKuwK7KgAJKRCQDMl++66xL8ku020VJzFDvAKEJgHRmKWdDEufaQWWwxhDaAIdjslGlmURMNWuM1SY07yQikgGZD6X+YmW6uSGY18QwW5TEFHMFckFIYCylfBFj0vtDExC7BINJQ8rNdO857xirTVCPmpp3EhHZYJkPpQf2HiZOYowxGBt0vbcRNanHTZz3c5oiEtx0E8TCJUBPtVnnWvXG6j68iIisSOZDae/Abj5+6BF2lvtJ3OLt4KENuD41jmm3ODTjiCiJsBh8u/YXJ8mCm7h60jmoRqu5Rp9CRESWI/OhBGkw/eyjn6S3WCEf5Ba8x3lPYC39pQqemXZwbzy2HVXdFt0CRC7WvJKIyAbKfPfdbLsqA9SiBvVWg4lGFecd1hh2lPqw1lJuzyNNNWs473He4X06irLW4p2nmC8w2agu+P7OO/7kte9SKfaoZVxEZANsipFSx519Q1ydHOVGfRLvHYGxeA9jtQkmG1WmmjUA8kGOXBBSCHNYYwlse6xkDNX2PYtJvKPWrDNWV0eeiMh62zShNDw2wjtXzk9/7UkDxOOxxuJcwlh1gks3rtCIWzTjFs04wnlHkjjiJCFxCW6J3nJrDNZaGq2mdoIQEVlnm6Z811lEu1CmJD7B+XQd0uwdxA2d8EoIbUjsus8pQTo31dk9ojHeIgwChsdGVMYTEVkHm2akdHVqjBu1CRK/8K4OHk8QBIChEOYp5QrkwxyFMEdgA2IXz9kXbzkcDuedyngiIutkU4TS8NgIzahJK4663hfFEeCnF80aDN7DQLmf+buHL1fsEhLvVMYTEVkHmyKUTg2foadYXnI+qHO1s3DW4wmDoD26mvva2RHVX6p0fd+x6gQfTFxb4VOLiMhKbYpQGm9MUSmUsWbp0Y4hnVeK200N1ljG61MYLKGdu1GRbX9Vbda7vqfHU48aKuGJiKyxTRFKnf3vuo2T8kFIaAMwBmMs+SBHOVfEe09/sUIxlyewAcVcIW0lB1znHZeYajIYLEYlPBGRNbYpQqmz/x1+5pyk+Vrt0ZH3joODe/k7H/8bfOGJz1DKF6kUy/SWevDe00qim3Z2iBdpnujweLz32htPRGSNbYpQ6ux/V8oXMIA1iz+2B4phgeGxEf7jqe8xUZ9iZOI63nsGevrm7BC+Eg7PeH2S3/3+H/EfT31PpTwRkTVg/FIHFc1y9OhRf/LkyTV8nO46p9CGQUjiEq5Mji56byHI0VMsE9qA0eoE4Bko93N1ajTtylukZmeNobfQw3hjatH3DqwlMAE/dtcDPLz/3tv9WCIi24ox5iXv/dGFrm2KkVJHZ8TUmSvqxuGZatQwxjBY6Se0AeP1SQJjF22YMADekA9zBCbAmoWLhc6lx2CcfO+URkwiIqtoU4USpMH03z7wk3zu6M9Mzy8tWM7zYIxhsl6lmCtwR98g/aUKTxx8OG2GWOC9rbGEQcDHDz3CgcE9WGMphPkF57ECG5B4r+YHEZFVtOlCabaBch/AgmckRS6mGbeoR00aUZMoiekrVnh4/708ceAh8mH+ptc476kUypwaPsMDew9jjSXxbnoxLjC9sav3npwNmOhS5hMRkZXZ1KH0U4cfo5wvdr3H4xmZuM7IxHVqrXSt0cP77+Xo/vsXvHesNs77Y5cB+LG7HmgfEujm3OO8oxVHhGFIX7H7wlsREVm+TR1Kewd286n7Pk5guh+TDulo6urUKP/fqRd49cJbvHLxrXYn39zinAd8e7+7od4Bjt71ALkFDhY0xlBrNbizb2jVPo+IyHa3qUOpI7SWXBCSC+Zuem6Nae/iYNr3BdMNCvWoSWhDvL+5D88DiUv3u7s8cY3Byg7K+WJ6WKCx0yHWX6xwWdsPiYismk1zdMViOvvidTrtrLE479JdGNo/p33mkjGGwAS0omh6B/CFBNZSjxoEjXTnh3K+SJwkacAZk+4G4RyVYllzSiIiq2jTh1JnX7xcEDJZr9LZR9zjSZybWY/UPidpqU1dDWkzQ6cxAtKTbTu7RZh2S3k+yM25R0REbt+mD6X+YoVa1KCYKwAQVxOcMyQ+mbNANt0qaOn380Cjfcjf2WvvYzE4fNrwQDrf5DwUcwXiJOaBA4fX4FOJiGxPm35OqbMvXiuOmKhNpUFk0nC5tROU5ups2to5dj1o//De8/FDj+hEWhGRVbTpQ2n2Lg8tF083IwDTpbbbZUi77Yphnn0772TvwG7K+aICSURklW36UIKZXR4O7NzDjvaC2rTjbqZeZ9o/8kHuFkZQ6Qm2cfvwQM0liYisjS0RSh2dUp4xhsAGeA/e+3YreKq/1Etgl17XdDNPYCytOErnkvZqLklEZLVtqVDqlPJ2lvunj0JPF76m65UGSv2AZ1dlJ/2lCjvL/ZTaDRKLsenGQgQ2IJ/LU84VNZckIrJGNn333Xx7B3bzswO7GR4b4dTwGSYaU/QVKzyw9/CcIOlcDxoWayzWWhqtJpGL57xfGIQMVnbw4wceVBCJiKyxLRdKHXsHdncNkdnXO+c0ddY7RUlMnMQaEYmIrLMtVb67VbM7+Oqthkp0IiIbZMuOlFZqqZGViIisPYWSbGvH3SWedad5zV+nSkyZkIfNIE/ZIxyze+bcc85PctD0zrkmIqtLoSTbTidkXvXXuUqDQQpcpQ4YJol4x9/g6eRFnuEJAJ5OXqSHHLspccXXp68pmERWn0JJtpXj7tJ0yEwS4fCcZ2rOguo3GaeA5QvJdzhEHz3k6DPpScV95MHDs+60QklkDSiUZNs47i7xheQ7jNOitx1KOQwJHgMEGOJ0213KBIzT4iRXeZCdAFzzdd5jiiox1huOu0sKJpFVpu472RY6I6RxWgTANZpUibnRPuzEQzuQUjVieslRJuQsE7zmr/EiV/mAOhNETBDx5eQvOe4ubcwHEtmiNFKSLWt2g8JlahQJaBATL/1SYjxNEmrENLj5MEiH5wJVfiV5ic+66/xL/xpjNBmgwD8yD/GV8MHV/0Ai24BGSrIldUZGV3yd3ZS4Sp2zTC4rkCAdOUU4WgsEEqSb+7Zw/JCrfNX/kFGaNEkYpsYv+he5O3peoyiRW6CRkmwZ80dGgxToM3mu+ToRyzjhcRYDTM0p6M3V+fU6yYLXzzLJzyUv8Nv8lOadRFZAobRNvfbK+3z7Wy9z+dI4d+7p5zOffYSHPvbhjX6sW3bcXeLnkhe4TJ0qEQlwmTqRd9ygtez3CYAEVhhhCxulqS49kRVSKG1Dr73yPt989jvEccL4jToX3x/l5ZPv8YUvfZyf/dxjG/14t+RXk5d4nyot3PQR9gmetxmnSECu3Vm3cDEuVcCSwzJFPH3+Vrf7557YdbMWCef85K18HJFtS6G0jbz2yvv83u/8Fadfv0SSpN9urTXT58b/7jdf4NDhOzbliOlVRonagWRIJ0uTdgg1SMhjod363S1I6rNmnboFEkCZgOoi5TsD5Ak4aHpX8jFEtj2F0jbx2ivv8xv/8j9x/dokzs18u3Uu/RZtraHZjPnn/+SP2X1n/6Ys6fl23MTTP0s5IMJzJyUuUV/wtab9+k7ELBRcnbADQz95JmktGnIW2EmBp+yRW/koItuWuu+2iW9/62UmJhqY9tHu8znnwcPkRIMwtNwYq/LNZ7/Da6+8v/4PewseYuf0WqP5H28nBe5nBwZDDoMFQgxh++tOsCTtX+/2f4oSISGGfZSnF90Cc3aEAHiAnfx2oCYHkZVSKG0Tly+N06y3aLaWbop++80POPP2CCMjk/ze7/zVOjzd7fu14LF2iW6utHU75goNrrVXHDnAYKiQo7f9qhIBd1DEk+7sMF8ADFCgSMAT3ME9ZgclAkIsBQx5LD0EDFHgr3Enr+T+OwWSyC1QKG0Td+7pny7VLcV7iCNHdarBqVcv8o/+4fOZHzEds3sYpEBuVqB0wqZGwgQRMW66BOdwTLS78vIE9JPnAL2LluMSYJIWE7T4Z8Fj/GH4Sf40+BkeZIDH2c1fZy+PsYu7qPBrweZsFhHJAoXSNvGZzz6CMQa/zGBKEodL0lLY2TMjmS/lHXeXqJJQIqSfHEH712skONIGhgIBFXI40pBxwBhNGiTcoMl5JtlLec77diIubZNIA6zjmN3DM8ET3GFKjFDnDlPimUC7h4vcDjU6bBMPfezD3Hv/hzh75gq16vLX7eChUY+J44Rvf+vlzDY+POtOs58K7zFJgKVISLXdSReSBlALd9OMU+erBo7L1AkwDFFgipgaMbZd5rMYEhx30Ttn7dExu0chJLKKNFLaRv7W3/sJBnb2EAQ3z5l0473n2tUpLl8aX6Mnu33n/CT76OEIAxSwNEkIMQQY+siTa/9Vr3dp9O40SozQYAc5Cu1R0QQtakTso4d99Gjtkcga0khpm/HeLdh9t5TqVJNiKbf6D7RKDppervg6g6YIHq7SwLe74xokWAzNJVYeBe1FtwaokkyPrPrIYzFcpEqA5R7Tvy6fSWQ70khpG/n2t15m52CFMGexwawLBvKFYNHXARhjMCsbYK2rp+wRqkS86cf4AVeI22uOHOm80mJ71M3m28W9sH0Cbam9FLdKREA6krrAlNYeiawhhdI28u6PrnD+3Wu0mgkuAWNJS3ke4rj7KGJwqId6LVqnJ125Y3YPf9sc5gJTc9q6l9qVYbbOvZ2yXYmQCiGedD6qTMguippDEllDKt9tE6+98j7jN+rUqs3pX/Mu3YoHwCXda3rNZsyde7JdtvoeIxQIKBEw0T7qfKWVynRxraGPHAmeAMsuijxmdjHhW9xhSmvy7CKS0khpm/j2t16mt694S/NJAPVaxGc++8jqPtQqO+cnqbTDJFrRGInpDVgB7qLCYfpp4WiRcBcVJnyLKpFKdyJrTCOlbeLypXEajVsvvwVhhieU2g6aXiKf8F67hLfc/LXAIAWaOHZT4h6zg3N+kkcZmj5XaZ8p8ZR9TKU7kTWmUNom7tzTz8X3r2NsWrZbqf7+UqbXKUHa7PB08iJ3UeENxqZbG5Y6hqJMQIInj+VhM8gfhp9cnwcWkZuofLdNfOazjxAEwS130bVaSabXKcHMDgv3mB30kqePHDspUCYkj6VEQD85+mdtRlTEkieghWOAvMpzIhtMobRNPPSxD/OFL32cfH5lg2NjIAwt9XqU+UYHSIPpD8NP8kfBpzhMHw8wwDE+xI9zB0fYwR8H/w03cn+X7wRPcow7KRLigEcZ4pvBX1N5TmSDqXy3jfzs5x7j0OE75hz0ZwNDPh/SasV4529qhDDWEISWILCZb3SY7ZjdwzM8wbPuNOf8JAdN75w5oWN2D99VAIlkjvEraMc6evSoP3ny5Bo+jqyX1155n6//b3/O6PUaYWiJY0erme4V570nCNrH2dk0tDbzUekiki3GmJe890cXuqaR0jb10Mc+zFf+p5/h3/2bv+Lc2asEgeX+h/byt/7eTwBpC/nlS+Ob8gRaEdm8NFISEZF11W2kpEYHERHJDIWSiIhkhkJJREQyQ6EkIiKZoVASEZHMUCiJiEhmKJRERCQzFEoiIpIZK1o8a4y5Cry3do8jIiLbwF3e+10LXVhRKImIiKwlle9ERCQzFEoiIpIZCiUREckMhZKIiGSGQklERDJDoSQiIpmhUBIRkcxQKImISGYolEREJDP+f8bPGzBneePKAAAAAElFTkSuQmCC\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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iGsn5AgUBpU2p+Y8NYj7Lv7UNrL37Xs7cBhRINYH2CJKb1EKUXBEHjTmisTrGw7/nFlL6jVwl0mUnYGZiOK3JGEUJl+WwTXI2CS1ti5Y4UMu6oBJHW7o8sBxdLrRNQOi6TI6DFMOc+5CoLe6I/ttaFl0KZjkG9TvxJREl/nXIFSUmI4VTBMwrYsn71NQEklsmUZ7gClHSoHGIAz2mfkvjwCBRkaSLzFYZH5ZbKW+M8X5WChPFafm4JY6O4qyYGofuJaKf2A2rndyDHF1iQQ6TBtr1E/++xolaoI/C8bLHRGApQrnM6dJlQINTSa85WZYbnEcCzIhIAVd7sTomaj+UkSIGmppAvSatqxdC60s7ZLhDK603zh1xpT3BVyREOyxlEPlYYQAzIWWQJopoOTetolsyhnEa5fekGOYsuo8ld7XvG0/MIgWai4oU4fzk1vyTfL5XGicKFBt4tuMWWWMS9ak6Ew+Roc3MQ3qMaYr3o1YhGsWBktQwsgmfTovSDHFd6mAd2co3L/EQFI1jHMD6HV9nRdiOC8vMVDVgsLLclA+rSrQGud5RnWDaplUzLDA9h9woxDrPdnSOIE2q75Lyb9kvWfz4Rm/zXCHiJjOrDsacosqgiThL2YAL0HRPlrWFUvfj2Gw8iJveic/8LkOXNKLaCD+yOtfiFI88hKGha1LGN5M2Lc1LWXVIcKJcC1uydUOEtJZm5bxK7ggQ0R2KqOhL5xNLFzSXmeUmKd/xREuKWnT6U3xYm03rqppDIgkFwhL4QspRnJzdsl++SRcV8c7nXxVCKCsBgEFxijacuO9SaWBYyoFZz5zKZHica5WQnJ3P54rmzSUyt3FFIcurLyMFv5bcNjQnVnLT8GWT7RiPMQP19SV1dj4L5Cg0oJvo+2c5MSmK+FUjWr70NIkBelmOT9+1Hw8eWcTm+Q5uuGwbNq3RgzToJHSB61I0Uz1Z0pJSntB8kAbiXVIvAKpZrUIZBYD2pyI9n3QO9bkA+HQ/mshmbVNXaJXrpdNoSF9HX7sqJ1HbpGOK2dDSohjDjao6s7xw5nYtn5B4auHX1YX0idZafHP/Sew9sggDYOfmOew6Y02Nq9GKFQ+IsdLmsoBk7QnAqhEtn9tCllu89193Y/+JJfRzi4ePL+Jbh07htU86H+sUzWknUURABzcxio7EojrlQ+ikhYKerIeSC2gTOiNLw3OuwrdYx6X3aOSJF9wbcWcaJ0rcsmvetXUQu/nGuUldTXF/Me0ACA2hkwCWER2gvn6+uf8kdj+yMJiH+w6eQgLg/LJIhsy0wblDn+vGuGGmLg/+yd5zdAEHTy4N0vAWCmuLrz18XL2em8xJB+biPlw5kmI2QNsFQgaDHPXCF8RJcJM7KWHlOLTc5ZzDGcYa2dYIJK93OUlSKAqVI+tExEMOQ3jIR0s6GdM4FvvAQvnhuiytqwHxN80UMzySITFN3WpMwkU65HghFz6fe48s1p4ht8CDRxar51TmOlSZe7nwHe/y4MtL1MssjFC1WmtrucQlciZuZrbQTznr1zFOQdMFxIh3MXA5i5LDZozJ3cehhIiPy4zuuo/EXZkNtW3uq9Q0c9u75lTLReUTDzW3E7LGSeMGUI8n5Ep5g6YinnSJ1LZ0NKX8+mSk8I1Ri66YEOlqOBhMXR586WnO3jBbWLhqSluDi8/Q68rlitXKFeP2L7ffize9889x+OhJPPX6y/CON7wYs/OzjTa5eMfN39xNIaTLcZHY3MYVrPAhtHx4ymiykMYYNTpMxOMbTl6j+cmFwOeU2pFKa06QNNcAX0WaUPA1ES4ffMTlxGIf9x44gXWzHew6Yx7alY1wKPjXyc5Nc7j/0KlaGND5W9YMHGA1rBbt+I63HgKlAlNZRHPdFK9+wjn40G178cjJHtZ0E7z4mrOwfX2TuADxmQK+eveDeP5PvhsnF5YAALv3Hca/3fsQ/vaPXq++EFkNR1q/6G9f2IaGNu8+MU3zPhETFzRLWZ7XfYBCfWrtE5dI3BcdOEnZ50Ifg4wULu7MVWFI46D6tiByXB/oVJiHHmpE3Ln3KF734a/CwiLLLB57/ib8+g9cXSvCQuPQRFZXONQFW9fAGGDv4UXAABefuRYb1nSrWgSo68Paxl6OC+PQaWnVeIwx7wTwAgBLAL4J4FXW2sO+dibKuZRj+/pZvP57diG3Fklgl8cShw98/F8GBAsAFpf6uOXO+3H/3kdw/tnNjBASWtZMskppYyAOTcY0+rgSEi04hzcIGEZFMEKOh6qlzLaPYSRIhfBAj2jqISRkbSTipT0ft74SB+Ias+RKne8ay8eZWGvxho/cgeOLVY3GW+47jA9+6QG8skzhXV3raKP8P/cpLFQTBhdsnccFW+d1qzXqrh+ryuyM3vf7ALwbwPvZdzcC+AVrbd8Y8w4AvwDgv/gamViiRQgRrOKaJjcCFNxFhopzkBlNqf28LHrXZxtTK4U+DLopkDCRxlelx5dpoY1X+bjT8GqxmURYyRFWIrNNjkrLYbVIOqfIsXQSIBccGRe9ZtN6em6DKuNFiDsF9Hdz+FQPJ5bqRWUX+jlu332kca2PcPqcoOlvDeS7t6owo/tpadV4rLWfYX/+C4AfDLWz2lMxFpCugpTMCcrFWm62Xuky8MM3PA5rWBXgTifBrp1n4PyztwwWFJ34vbxZclx1XkR4w5G4FMMhuTIttEEbd4oYDJOmWc1S6riHW0Ml5JzTu55Jqxzt/Bq+FiwKTsUXUEx51ykAfrHfHPt6xVqSJsCOjXON7xPT5GZpXfqcoH2YEP33SlgPXw3gk6GLVpVoWVsQBioU4SpaEAOy7syUi7jBdVngukddiA/82qtxzvZNWDc/i6c87hJ86j2vQ5Ikzpg+DlKoDvrEeHN0jyuHu6ZwDiU6HGxeJfWwz2nUOPRfPF4y6KDJREXKDEHip8sjnmL/XGPT3qda8Ub4nNGBVXuWNMHPfd/FmO0kA5Fu45ouXv2k89W+O2m94Apxyb51cmKxj9vvP4xHji+Av3GX/pLeF7l2rEShC5MY7wdlCTH2eU1028a8FUX8/wdD166qeOirLyjBRScDd/04wO/d/LynXoPnPfWaqPFp7bhqH7r6kxkOKk/oehkzH1HxEZsDxxfxSx/7Ou7ccwwb13Twludciu++6Awkpoj4Jx1ZZotMmK7EcVwsJTGOiAb5KMk6jDQPWjHSIqqhzkW59Gk1X6llDkWR8CXm43jxtWfjgjPm8eX7DmPdbAfPvWY7NjoiNIBKH8mhOUEnBrjn4WN45R9+Gf0sR5YDL3jMDrzl+ZejmyZOi69WUVsmdhwnIrmpViXEWNuvRKGgf4a1YdK7qkQrtr5gKG5MwueHJH1oqC8tpnCUiityzJmtuAepcOVEQvpJ+fyq+nmOn/zT2/HAIyeR5cDJpQxv/vOv4X/86LW4Ysd6AE3n1KWsmb3TlTWTQlyAYjOktiKy0odJcnZScZ/bMo2O8BvzZZKIRc7GP8jMgOahM2o/1563Cdeet6n1ffzwIuJPHFQnAX76A7fh8Mne4PqP3boH87Mp3vzcy5xtuipqL2c1ouXwiDfG3IBC8f5Ua+3JqHGMfRTLAKcuxCFOat7LnXIhUx3FfqnnIpFBcjrctBwj4jTGZnURNXcQCNJdUV1A8p72nZwPHDpV1Hlk87DYz3HjnfsGf2uBvlp8oQZt08cGc7s4GOIAZ8vn4wVqqTKO1CX6QDUyKU01RRzIBH8G/iR8HGqm1sAaoN+1VMw0PkrYR4dXEfSd48HDp2r3LPZz3HrfYXdnqwUT+IRu16vxvBvAegA3GmNuM8b8QaidVffTkot7XEpHzXs5UxwTeeoUWcSBFhw/xUPK9BBcaWs4Yr2nE2PUXGExfk3yHo0zGXdtv1qfrG0ZW9m3gM3Coo6WCseiCsKmgGLqSntvNFecE+IOrdI3T3V4FVZBLgHkyvvmnH43NZifSXGCsd6JAc7etMb77Fp0wXK+rzFZD7VqPH/Utp1V5bS0+oLayeci5CHdEokxAz2S4zp+Ohp2vfRszmydc/HFwLnWTygjQBucu2UNLty6Fl22Wme7CZ5zdVWgN0Z8Jl0S/zpF8bwLpZGkrQUzloMB3GlfhgXdyt+/76ChCtiznTpB0sKCKMUzQYvG4GmiQ2vOGINf/Q9XDep0zqQG6+e6+PnnXOJ9xk5aSQ8GJTFdxt1MB7/vs1JYVU5rkF6DcTe+62QNvph5qnE2jhXkIhY+Ja3mCMh1RWnS9G/ii0qmmPFZIXm6Xi6eJcbgd1/+aLzjU3fjtgeOYMvaGbzp2Zfgwm1ra/3IvEvkwc7742lhuJEACOsQaYw89IfmgZct07J1Lgd86yK01mrXOr7nuj6XioI4qZgD6oZHnYWdW9bgn+7aj4Mn+7jq/I04upTh7MD4qMjKysAgmRDfi4lwLo3KsGDqG5CsYVpmBIKWaFCGRXSGPCW04gU9YUSQImqWA4sinXFoI0vxJBOK9HVzHfzq919Z/JZb/K+bHsCNtz2IS3dswHOvPRvGmEGSOsph1rdV0VH57D7vdL5ZOaR4ZFC5nsjai5oiX/NhitkftCZk0kIXxyG90X0W6FC/tX97uELN8qqpGC7fsR433nsIi50cX3rgKG7Zcwzfff5mPO+Kbe0HuEyYxh4OAZk4EPDXO5SxbBYl15bom0fCl+khNiMl6ac0MaJvi2wUvjFovkWSOAIFwXrZf/8cbr73EBZ6Gea6KT557dl416ufAGNMQ7ltUS8UOixceiUeMqQFEXOCLTNvAFWKmUFhWcccEedJYUEkxkhkucMb3XPoxej6UlNYRTnIuZkQkx3ipgeO4OCJHnrlJPUyiy98+xF8965N2OxxrVgpGAOky6o0i8eqWw/bOJj6EgeqbTvaiLWCSb0B53B8oqwGl04oJjNmDD5z+x7c/K1DOLmUIbeF+8Mnb92DW7/1iLMdV99tdIgxekLNYtq3dVGNck7xLgZcYYTTMXm9uzzfnfPvaZN715OoJ4mcKb8j1xQq5KFxsL4sG4cX+gOCRegkBkcXJElcPUx1WiXaOJgGOPEotJ1bl95A6oqAimuR+p1Ya6AGzcKqtfXQ4QXk4sI0MdgrzOm1dgI6RHo+nyjlei7etuudycwHxtRFd4KvEERbH74Y8OR7iQlbMds6xWp6tXM2zmEmNVhimyGzFlvXzgCop0QC2lXKHgsMpjotQqyDKeBOHOhKGif1HdRGG1BWAtq8pI+gjc3zIBnTdKok/Y4rxUxWEm1XYYbYAgZXnrOxoXPoZRaX79wAQK8a47M2GRNOUEjXSYdY6ScXQ9iGRaz+rZMUejwOKcYBuoFlFAIo23blC7vmrHX4xoENuGX3UaSJQWYtXv6YHVg7k6pWTKqUvVJ0pBBrp0SrNXjiQPJ16eXVRpZzSroQzfIWAy3HU84U2DJUw1vRJamnmAGYD4+tuLNGReOSKPiS8gHA9ZdsxU8961L87qfvQreToNe3+OUffhQu2r6+NnfSc7wNuCWWzyMvPabplTSCzUu08UrZ0lBC144KOmR4X5pCXDOwjKMIaihfmDEGP3DNWXjKBVtwbLGPM9fNDOohuDhVl2FkeTC1Hg7Q1sE0MUW6FqlgdynkKdEgEZTMkaaEQln4ptO82ulk14YY0u9wMcJXFYhvpAbnZoEZRnDIVywH8LPPuxI/+MTzsPvQSVxw5jrs3FLP9OrzEQuBPM4J0tFWi7UbjJkRTMvG0bCMloSZW9t8+f4Bj7JcuYcItw/LGXSscoS2nsJn27oZbFs3E9XeSjM+3/GcFj9hOUKLlO6V8CrkBcufZXXWXG4elwjG29OoluuVuqL0Q/BybmWbUid41pZ1OH/buqG4KCnq8t+kA6gvD78Gjai5kip2EqDLuLBejkHKaE3BLXO/u4LCY8cp301sUyQBAMNHTkhHZ+pfJcwrSEPMd7pOSxIJoFiU0upC4ogUN9rCVeU3LVeBHIuFW68G+AOypZuEi7vRfJPkc4Y4N1e1Fq1OodzUMmBaMyrQuL2KdMdvMXA+HxvToC9gUFRXggdsk8Ka1AZtfbE0A0u3FCsH6aUV0VJyxNKHkPRP8sDlB7QMZ6KDlRNmy4hiVrL9o3DQbTAhjNbqEC2NiPCv6GTni4BvIk0h70sj3DYEBajEGEmEQmWjqEI2GQdcBLeTFJuQj62hz3L0ESImNdHZNq1rUomr+b/1PP5vg/GNuIhTZRMDxXNruiVNfOaQhG6gNmDEQ+Nkan2bpoGFOD4+Dp4GJvbw8BX6pYOldr+t/Pg4YdYOmRhH5VHxHS8e+qCl9+WLj3QTPETEZ/7VuJoQ6PV00oojA+I2qkFBhPO8Ui67xBofNxni3FxDkWKDqkthSlxXllHeZ9tc9zGQoU7EGQ27N0IFTkLBz9LVgeZZyzoRIqBAc959rhG+sUsuyleRaNnoygSJh608PYwx/89ydco3rYvAyI1EaXcp4Rxl3ZSbsJM0++QWQMmlkQg1+JvpeLJSTPB5xPNUJFSk1enIafxOh520Si1M/+cih9S9hQi4awwhdNN2RVglKH5Szh05lc6WAcuDuEptnPHdNeAKfiaRj/SePMWNJhG0QZvX4PPKl4jhsMcN2p+jOJcaY95rjNlnjLmDfbfFGHOjMeYb5f83h9pxclrGmN9Rxv0KY8w6ALDWvi48TB1pKRq5Cqa6nl99gVL8saxYAtvc3bTu60QKV34vuQFo7gCx/jtaKhKLpiOl9hyky5FELDGOh0flpU1QRR74rWvdRH82CV7+i6yWJEaHQpFkJR9JfLW+5BoJcWG+4OSQXk4TR/t5eQgIbpfalIcHJ4o8aDwG9Iqt+M6lD3WJ1cuHsbg8vA/NajxvAfB31tpfM8a8pfx76Go8LwbwWQCfQTUfLwVw83DjrUBEpGOrv2uDUhwBXX5FpS6yAVkuS3qla0Qos8CsQ2eluSjE6H1iEFKEh6CNd6GX4WsPn8BSluPSrfNYPzczWOgyJZAxRTzmwIcroLdro1PxVfKJtjzCncGVu5MMFNbCk1+zCA7aNvV2NEgCSkSXgw4Pl6hP4FZznvmi5keGittXCboBckG4QrrWcWBUnZZWjQfAiwB8b/nvP0FBc4YmWlcA+FUANwB4k7X2QWPM26y1fzLMgDX4wkhmmc6q7akVA5cOwVUbULtc+873TC5oOopRHBqPLfbxzs9+G6eWskG7r3niObiUpayp9S+yNGie4hya/5pLp+IUoz3tAyJnPfTCra6sDdpBQlyLK6W2S+9Jz9NNw6mM5cEoEUp2SKoCWg/9XCdcpiSaLs58ObCMLg/brbV7AcBau9cYc2boBicpsNYes9a+HsBvAvhTY8wbfdePA6QoXexXL6ybNtObDDzibdjCBlQ+SKM4Dmr9aN+RxZEjlAd96GBqxzP9rzv24dhCH4uZxVL5ed9Ne9Q2ZPYDwK+D842rFRF3N+/MWV+z4DmyNvg4KtLJkWGBqxA6SXNMo2bAkAglO+TpgywqnagGInAhrniciCghNnQ1njYInuXW2puNMU8H8FMAPr8cgwB072grUqc0OAJTKahdxRJkuxSF7yIiLpFFjXsUi5riCA0qdt0nKhB84osGKZ5JHdFDxxYbXMPxpQxatW5f9gPXsI2mJHNcr1kex+FXNOy4Xda7gTWX/kY8MeB5wtrcJ6G6ArG2VxsRnNYw1XgeNsbsKLmsHQD2hW6I4pxsgd+11v5IywFFQ/OO5tyRlo+KdCOJ0YslaBYjCuWhk5fDpxcgnQUVXZ0VhK+fVSINPyGjLHOOQGnXvY14SFtf8Ds3zDXE6Y1znQHB4pznMJtB0y/5kilSvvZOUjxXSP9iHEQtRgc27N4m38BeVs+mEAIV1iArMXcAlWiTJWPiYEa3HjrwcQCvLP/9SgAfC90wMX5arkVCJ2eMSNLQpzjazG3htCe5kX7u1w9o7hGDe5XOYhX1pMPTfIQkXIUxOOfx/VefiW8ePImji9nAIvXq63aqyfg0gkkBzr7xcp0KJzLkkU7tkE6mLXel1VLkin7NWEPPSmqDNhtJzktMehstAaLPyCCTHRrUJQktWHwUzm2cMGOwHpbVeL4XhRi5G8DbAPwagI+UlXnuB/BDoXYmhmj5vKOB4XQjXr0Jmv3Rd22dJtvqytR8Wx6C2BbzMyne8vQLcPf+k+hlOS44Yx4b5zroKwnyenlhOSTlukFc3NxA6cyu00R8nhWjDbgPGjl99rKK+NWsbbYiWLz/WAusT4fm02u1TSworeZAqU4opYVOCkAYF8atVxsFUrXQFo5qPADwjDbtRBEtY8waAOdZa+9q03gbpEn95DKo++UMoxsxyj1AlepFwzC6etrA8l5tbK586nw9hLzktWeSuppumuCqs9bVvnP5Smqisg88IR3Xp7kCoH16phCk/o7qBpLbBm3qnkaQBafLrXfavLfFMAcp3afF386ketJJV279lcQyWg9bI7hUjTEvAHAbgE+Vfz/GGPPx5RhMx+EdTWirGwFKHZRpWox8uqthIIuDkmjE4cunTujnhf/YUlZ6aCv+Yd20eibauNJayiMEcnYQxIB0ZJrnfy6IyODvYah95Fhk067vJEhUpN+5JY64MuuZmxDHTWuq9h3i1pCa+1/5rqEzW8a5DiEx/s9KIYbTejuA61A4fcFae5viIDY0ZABriAiFJkhyKUboQng7jbg+uDd2KOMEF2fguMapt+PGBk/QLIcvOLbm42Qr/UyM026IE/RxU6nSPrXhg5bLjLftuoc3HLLA+sZNhF9mFY3xDeyWsalc3KfxeR10I77TjE9tUwKNE5PCacUQrb619shyRHj7KvMOA829waef6aRAUsaa5Sg+i1lT6aslwHOlSPHB9XPIK1sLmuUKeb7RXfqZLK/i/FxOuz5OMEbfRmJbGxHMlcuMqwU0aFEUWrojSw8RgDHDRzfI4OqYMmUx6oSQ8Yl8Fune5cwZb1Ao4ycBMa/pDmPMywGkxphLALwOwD+P2rF2ioRKOvngcm8InUoWTV0P9+52JcBLFULCF5GWHZWU7dLXLHRqyp81KyAR/ND+9PkqhThBQOemDBujrHUYghSJLOqlzTSOWHPWJZcUSv1C73Up0/WhctzjgFzTJIJqa9pV76A2Po/OTPVrtMuYnsYYpBPCacUsr9cCuArAIoAPATgK4PWjdjxORbjvvlAurdB9vpQh8u+lMjCYyllpIokva4PmasBFDkI/b/ZP+hnXsnKtN66/ck0G3zwkShn595DrWRWTxJek65wRfnjaODuJQwdmxzduV8k7X7VpCSKypJvVCJt2oNF6cCW2XE4sk59Wa8R4xJ8E8Nbys6ogrofEpVqO8jH3NWjXc9pxxBZVBeocGRWFoL5igmZ9a5Pa4A6SrnQ1mv6qtLrXv+M6JlvkCaPflkMicekMY96x8xBCwaGNGuAu58xX8i4EoxAliW6pwqD1QO4evtRIy0FADDAxnFbwFRpjLgXwRgC7+PXW2qeP0rFamdezMDXTN09p63Nv0NrihEHqF7jHNy2UXGzuhv7B+aR1hBa9T3zj/YfAx6N5v7v0VyYpCmfQppDOtjKjbL+Uw4YVS9Qyb0lz3Jq+h3OcpDtyzU3sduOFQrRDQ+NmKDW3y+F11K3uKtIRStc9bpxOmUs/CuAPAPwh6ofwSCAvcCIeCfzBn2TpkeBK4k5S6LB8xQW0tCoGZRuGTpT6OLtJpTMg4qix8jFVhXyLnuDygyJom4OH0YT0RPSdBmuBpDSjDpT9jOCpaYWtvpB8xTII9M4HaXHK6yRxl8YPnwe71IER8YmBJMoy17sGulw6vHK3FwodGxez0kkAm1X6WIPldUQ15jTitFBYD39/OTqXXEVuK78kqciO8U0hguJ7d64kfYmnvxhvda2oaqzDpuSKagUdbLUhucjqtQIqfUiC6nqcUKB5LGKTJlKf/HunqT+vnJBdFtIkrfL0S0IYM+ZQrndfehv63Rfk33YeXeD6Ozr0l5sRmgySFUe0/soY81MA/hKFMh4AYK09NM6BNKwhIvbLReTbEn8fh0FvRS60mBLk0k+LvpMZSUOL3uVPpPXXZvHLaXJZMhPjscTmugiu6WW0lCqxsZjD5uDivw/j8Bgj4suYSM2JmOAivprluS3IgswPyZlI4jwMTiudFqoI7Dex7yyAC8c5EJeHMC1yIgquFDSxCBE/baH1AoHUBE0U7TEWHqjE0JhFX2sL8SednCdAJ3CuykE+i6kM+nXVqQwVy3AVkQDijB8GTSIzqsNliPsEKg5nIBF41kUbv7u2kBWULNwFi8cCM8iZteqIsR5esBID0d6v/I7MxASp+yC5njta9pUN1vD7YTqjUEWXNiCn1dp31p/TPeQH5YIkArwMlm9jJTGNs7EShxeTxdO3abW4O85VN+JMUf3ODzC6RPNgz63F7sOnsNDPsWV+BlvXuis3n1js4wv3HsJCP8dVOzZi56Y1AJqW14b4nrv9o0J+VjHvh94r59RdB0sMpzgKThuPeGPMPIA3oAiYfk3pYHqZtfavxzkQ7eRUPYmFKKU58xHhaihVLWDyqizYUpbjwIklGFhsWzeLbpoEvdaBpnOny/Pet4h8RMTlVe7iTpzBt0P6IxiExdgQfMUyNK5appcmowpxmJLTJQ92l4k/yy3+9u79OLrYR24tDAwedfYGXH7musa1B08s4ac/8lWcXMpgywb/rxsuxePP29Ro2+UfpW0kTR1AzfH31Yeu7PcFi2v7ZTlJCr2Dkdow5ucA/DiKoX8VwKustQtt24lZ1n8MYAnAd5d/7wbwX9t2FIIMODYoczbZejJADk1pagO/03cne3187I69+Ow9+/EP9xzAX3x1D44v9p0Onvw7abmixIISw77jNCk28Fyn2Jh0ssoSVzQGFxEYFmQx5YHmVGhUy6bgAl9c3I0k5nZjKjcCn1XZ9f03D57AkYUe+rktEzNa3L7nCBaUyfofX7gPR071sNDPsZhZLPZzvONv79HjR136Nsf35DxKQf5UKVpC+84XLK6J++NQ8PuQGOP9+GCM2Ykimubx1tqrUdjLXjrUOCKuucha++sAegBgrT2FZSDqxPLzD21Uynigbc5h8fl7D+JUL0Mvt+jlFgu9HJ+79+BgHKnYsMHYPuU7Le+4zPB5spfh7v0n8M2DRe4rF3yEKYYI0Km90C8+WvYIDmMq7/205Py4t3+IcPWEaJzZqk9XLN44cWyh33gniTE4pUzk7iMLjWuPLfSRKQ/pGruPqHLi60JIByivTdg6Tc3ocbshFO4awxOtEh0Aa4wxHQDzAPTCBRGNhLBU5tOyxeDNRWBWxHGCez2TCMbBzd6AI0iWEQWfpeuRU72GIvPwqd5gHN200peRWNlN220uIoAuhfNDxxbxvpt2w1oLC2DdbAc/ft25mFccbnw0QhPl5Dgld6hVt3EhZCRpjNVD2DtouocA4+cSNs13G+/fWou1M81BX7x1Lb514CR6bNBnrJ1RrWU+/yj+3C6frDYcY8holBgMqoSvBEbRw5fVvH4DRXbSUwA+Y639zDBtxXBab0ORS+tcY8wHAfwdgDcP01kbuDYp3ww8Ds6g4ooIPEQGqCtr1ymLdy0jFq7gV8CTSpeutXVRivLKy0X4kdv3DkSSpczi8KkePnnXfvW5fdxJV+HoOBGI4Q7J0kmcGM81FWMkaQMi5jzuLpZLII91cuB04YIt89i+fhadxKCbGKTG4PrzN2NGUfT9H999Hs7eOIc13QTzMynmZ1K87TmXqn1zDpLEPdI3Ut4ryn3l4mYbrjEAYKt4Rs6RyrUWk1V2uZAkxvuBpxpPWTn6RQAuAHA2gLXGmKFqTsRYD280xtwC4Iko5vdnrbUHhulsHJAvjBSEJLrYnFXCMW5L15Mu2IJPfP3hmuvBky48Y/C7L/iVzP7c856IoaY8za3OSTxScnaE3AIPHdWZWB93QkTAohId2i5sqiTEx0Je9D5v/yy3+NjX9uGmB46gkxg8+7KtePIFm9V7JL0YpJ0WIrgL0mG1D5/DqsFTLjwDB08uYaGXY9OaLtY5WMO1sx383kuuwR17jmExy3H59nXYtKa+arRICpofg3a1IMkKTs/eF24xfQsgK8RzSs9MBonVIlgGUSKgrxrP9wH4lrV2PwAYY/4ChZ78T9uOJcZ6+Njyn3vL/59njNkI4D5rrQwfbAXpdc6hmb2Jm+LQNluMv8rm+Rl8/zU7sPvwKVgA525cg7WRTi4+x05t8Wa2WHjyGdfPdHB0sZpCY4At87ozAREmV1jMQLR2iCRBp1aFayEDiM/b/6O3P4R/vu8wemUDH739IXQSg+vP2zSw3tLB4iLsRIxC4TKastpX1NYYg61rZxvf83RDNK5umuDaczc6+7ZwRxqQQ67rPu2RKHoDaLrFAJUoTdeuEq2qYEZ2ebgfwBNLb4RTKPLCf3mYhmJ26e8BeCyAr6CYu6vLf59hjPmJYeRS6TJAegG5YHksoSvmz2VBjIl2XzvTwWVnrh/83c/qPl0SJIb60Gbxvvia7fjgrXsGKWW6aYLnXrHN2TZf6L7+qYwVOUKSmZy7gMRm5qR+XTUBv8gIFgAsZRb/cM8hPPH8TUgTIC+JU1ZyD91Ut4oBYV+4caQZHnceqkG6ZgP1oZaT2LgSQS4XRsnoYa39kjHmzwHcgoJJvhXAe4ZpK4ZofRvAj1lrvwYAxpgrUXjH/yqAvwDQmmjJfFCkL5KMTkws4bggQ3f6ttjYOSqRK0afoEXfA/ri3bVlHj/5XefhmwdPopMYXLZtnaqEj4XGwfAkdD6n0I6SbYEfEq7T3qXv8oUCOcfv/mkwBp/LQSioHXD7WWliXK1v6L5RRPhTU2QT4L/7akHW2lDWTIip0cTV5bQgGowexmOtfRsKHflIiCFalxPBKju+0xhzrbX23mHd+sfpzRvabLHQsi9ktn1YhCbW+vQ1W+ZnsGXe7andBi4RJiZdMm0+LjbFOKded+5G/Ov9RwaWt5nU4CkXbnZen1l3IHloT2h6vZm0MiIMloEtCIjGvQ/LrUkv/IIzbnrpExfZJvYxNjSKg7KjcMTGdg6LCXGIjyJadxljfh/Ah8u/XwLgbmPMLErfrdVEaLOFClL4QIuC54h3ibIE4mhSJvq6rm3T7krAlSp54OCL5mZ82bU70E0Nbt59FKkxeNZlZ+BJuzY5+6D5kPGRVBLMBSI2VCQWqIe0SAbKQhc3XXmoLMr0MWjqCwfXmSZRoISOFgimV3IhNjRK9isxBunZicLfbDKoVgzR+k8AfgpFimUD4PMokgL2ADxtmE61/NipKcy9NPExmRUG9zqubZNexaWozvK6SEGirDR1061UFGPg/S2UvrXAbE+7w8B1myn7o9/btK+JIeTCARQL+SWP2YGXPGZH4151TpPqtzlPGA5H6D22yQoh/axoLL7iGrHjylFar0fQj8XqqHyi8nJhNQ9UjhiXh1MAfrP8SBwfplPyr+KbORPsbi8yaZor0Zw3vUq5cU4uZbh9zzEsZTku27YWW9bONrIvaBYrqTPi4+ZOm77A4OUobEocDE+1LJ8hQb0I7qBvB0eqiSH9PE4EJ+U/GVI0X7UYN4fQe3S14XLu7DKjAiywJN6FRT2HlguafsxlKQ4hVJVIQnOsblNwty0MgM6EUK0Yl4dLAPw3AFcCmKPvrbUjpabhydKsbaZeBqqkbi74XrTrEMptodg/fKqH//b392Kxnw9O+//8xHMHAbUDBXTgOVw6pBRxgcESoy6LRIgwi2JiczQ3pMbJkNEhNs5Qg881ROJUL8O7PvstfOXBI9g8P4PXPvUCXLp9nfM90hzbUvleqoUG8KUtqkVeONqPeexxcjpatlkf4SRfLzI+aNWfxo0JoVnRAdO/j4KuPA3A+wF8YDkHFQPtBKYXDYQ3///8ysM4sZRhKStiD5cyiz/+8oMDp1SCJnaG2g5tiGHbJfRz5j3ts8ZZfQw1y62Dk+Ec53LDWos3/cWduPHr+/DAIwv4yoNH8dqPfhX3HzrpFXm5FzpNQyfxV+yJRcxjO91i2upOI96TBuJeXbUVxwljihJivs9KIYZorbHW/h0AY629z1r7dgBPH/dAtEeWhURjwGO/fOE2+44vNRbF8cUMuehICxWqFRP1jNsXehNql8RemeGin1UiGxFpV7hITJybj5MB9KBvGifp+7JASE0Ie44s4O59x7HENOSLvRyfunOfU0XQSdyiaxuQSF37DnGW01SEiRlUnJEMi/KVs58UDiYE0sm6PiuFGEX8gjEmAfANY8zPAHgQwJnjHMRAF5NXCmM6PXiRBwCN6s8SfPLIOZW8srmf1bmb5rD32CL6jHJtme+qoQpS5BpU87EYpLKRVWEA3USfGot+DnQS02iXty/vI18rtTCGdb9ImfCQ5oXg42SAumMpDxHqZWhEKwxdRzC3jUVvgYHTajepKuTQ38OIroP3hvp6kGE1NJSBVVDZlLwaELXFdapaLjd4xD3tPS13qpk2MDi9rIevR5FG4nUoHEqfBuBHxz0Q7cTTRJe+LQgReXlzJbM8IX3OqS++Zju+degkDp3qwcDAGOA1158THKdWsCF1EB++4XNr8cX7DuGeAycAANvXz+IZF2/DrHKky1S6wPCpdDtpYRgYJCwUug+aI1/pNRkilNvm9Rbx2V2llWznpjXYsnYGe48sDMY520nw1EvOGPSvHVQuR15Xn/K95cxayznzkMU0FIcIuHO5OZ170/KAZcapoD6VSRXLjhXmpnyI2Qa7rLU3obAUvgoAjDE/BOBLyzkwwCO6lAr6xFQKWIO4oFvC/EyKX3jGRYM8Vrs2r3EG1HK0tRjRhr/twSO49+CJwTPtO76Iz37zAJ59WZNp9fngxBaWqP2e+KMKqCAoDwA3jEDJtMDDFp4AXFykwW//0NV4+1/fhbv3Hce62Q7e8IyLcPXZG7xtdViY0OBZHGvAGe6FJnGIsZiqBpiA4SgESjXTz/TMtQRpOAlJH+NAocKYDKoVQ7R+AUXtw9B3I0O6L4Su5SenRXnaGX3RasHZRejM2nZj9HzvG/J9h081Arv3HtMzzRpPP52k8AWKKYzBOZrQfGqELcvrnKwrLTAfdwguLnLbuln87ksfFdEC68/4g8hjYJUXFyK+McR5mMMFKHWU3FAC3S+wdg+TPpYTE89pGWOeA+C5AHYaY36H/bQBuofCSNBOYFcu7E7i5kY0EUVuPs7qE3yFBrLc4uhCD4kxmO92oG3P0PvsKm/cpSPQnG+5Dw6JDjxzgsQ46u250gLPpEr5MZRiY9bUH3KM25M7JogcCCfUq7UZ6hP6uuTvYpjQHCA8P665GkeFHx9OF53WHhSpI14I4Gb2/TEAPzfugaixVHlVlJQ7KLbxBtYyoPbzunK1ESyNiqM4vtjHjXftx1KWwwLYvKaL77lwK5KkWoH8FAT0zfrYczbhxrv3IysvShODx569UR0z98Ghvyn9CecuXRkKrPUXO+UgQweNuxuYX/qelx8DmimCXJWZfVykD2RFJXG7LUeVmCahdRkOQmKnjEOke6SuUIbmZDmba6yMq8LYMAQXu1xwEi1r7e0AbjfG/Fl53XnW2ruWayA+S1A3raw1/RzearpyEfhKghEhcJWq76bA58pc8nTJoZNL+OreI3jCeZsBVKcyz5uu6SHO3jCHZ1+2DXc8dAxZbnHxGfO4aGuzMgzBmGaQc2yGAtczy6+lqEF/+6yAfH6TkuXQYv8APVA7xEVqkIcKGWHabiKqwkTwuYTEiJ08TClEfCipIoHEPknYQynEnVzeMhOUgnserRNjzCYAf4givZUF8Gpr7RfbthOj07oBwG8AmAFwgTHmMQB+xVr7wrad+eA63bX4vhxlOIqwHrYxuYcuo75kLvncFkp0/v5khZrBghSze9b6OZy1fg7DIpZDidU5hZTTMqiZxL5YkLe6zJsuCUIoUFoeKiTKD7NRo9dHQOyUOfeJ2LuexXeQ8FtofogjkzpLIqhc+hiGgA+DMfTx2wA+Za39QWPMDAqvhNaIIVpvB3AdgM8CgLX2NmPMrmE680Grk0cnsJYNlHKv86Bbyh8OVKcT6X/4/aQP8oF+nkkTLAoWZ14oh1Yq4j52zRAh4OOiE5pzgzHtzDqS/8WMiwKR+VzIgPIQYrnGYRHjNsBFU+LOtXH186bbTiwePraIT991AMeX+rjojHk845KtDc5moZfhdz5zD26//zDOPWMeP/+cS7FtfTMz63LAwIxkPTTGbADwFBQJGGCtXUJRmrA1YohW31p7ZLlLYhtTOfhZxHnZkuWHHA0lW02sN51MdKp1HPqJwVhQnW7Xn78ZX7j3EDJrB8rIx527aQxP3MyUGkpromUocHGX3aSegz1Bs+K1SyzjzZEOieuspJJdm8OOqbi22jMr4qwPbS2V0hnZxf24snNISCfaNhlfOVLTtF7RQXLwxBL+4Iv3DyIC9h1bwr5jS3jF43cOrs1yi1e+5ybc+eBRLPZz3HrfYfzTv+3HJ974ZGwaUz42LyL2YwAXAtgP4I+NMY9GoSf/WWvtibYNxUz/HcaYlwNIjTGXGGPeBeCf23akoRHqkFfscEN3okCKaBJLXMGclhVglE1OHAVVV+GE4NxNa/B9l23DVWetx9U71uN5V25vFD3QrHKhpHukp6GN3bfhEBT+HDOpv4qNMZT7vJjPTNE79fI64dJ0cTRWXvdwUQlJoTmkTycdzZ+LtyvFNBenrFmgtRqNruwcMvOG5kTbp4NAGatPnCTCToRqEMZlgC/df7gWwtTLLe45eBJHFyoyd8fuI7hr77EB19/PLY4t9vE3tz3k7nSMoAM7EHvorMaDgkF6LIDft9ZeC+AEgLcMM5YYTuu1AN6KotbhhwB8GoVn/MjwVYDhiLH8aBuhzebw6TC2rp3B1rXu04wW4CDVDsLOfq5MqaFEcDzMRIPLyuYSsxLjzzrhMlRo74mPcfB/TU/p7k4FJVUkYuFSjLvet+YOoF1LmSP4fS40rIeRHFhScqCcW+0pysUiVKqioqeWsobLQZZZnBqllHhLjFiNZzeA3dZackr/cywX0bLWnkRBtN46TAc++CrAyPkhyw+JeDGmdG2KeVI+IlTjkHyJQ7TKBhkWpKOjeQqZyH1WtjZuIrFjI7jiQ0fJmy7B3T4sikaXW/nsap7mc7YTP6fSV3ApqxJdXnXWOtz64NFBymoDYN1MWuPor9zZjA7opAbfdfGWyKcZDQajWSittQ8ZYx4wxlxWeiE8A8Cdw7Tlcy79eGAQY7UexsDHZaimdEcs42CdWSA3desLETXuIxVjndF0Hz5uK8ZjWgbd8oUuEbKyaYaOGAIScn1weWhTIkRuKSRFtjp2ER+pWSl5emoaP59jEr0kHWmIl6ZpqACafWoGDR4TKN+5z3qoif69co4u3roWz79yG/7m6/vRyyy2r5/BjzxuZ42z2rCmiz95zRPwE++7BQePLWHr+lm8/z9fh7M3zw/WxbIScQOMQa/9WgAfLC2H96IMC2wLH6f1XQAeQCESfgntufpw50pm0GE5Hx6pT3/LdlxWSOLegCahcImssg1N9+ELrQh5TFulTRqfSrQ8Y0tRGTpo87RJGieV7Amqsbr6zVi/oRNaznk/Jx1K/TnkxpdzTHojKqEG6DpMoJ5Vla6T80HuBHyN0LqSqg1A97sihBiyx5+7CY8/dxNyaxtiGD3L1edsxOf/z6fh5FIfSZICMIPsGzF1I0fFqE1ba28D4BIfo+EjWmcBeCaAlwF4OYC/AfAhXplnVPCiFPRSSdSQFqqY/NmxIR0SPP5M02OEUqA4zfKcGgpoHtOjwCfKyD590ObZ5/rg7BdVNEKoBFsMcXaJYVJfRYQrhJi5oOu0NRXrd0XQODvt0OAEyyV2z3Y6aojVsL5rMSjEw2WWxyPhVB1aazNr7aesta8E8EQA9wD4rDHmteMcAFm4Bv2iWMT8peTlSbKUVZkqh9HPtIk/a4MYgtG6TYco7LUWKno+nm6llxXZTjWLGl3D53mJWQmJeEkO1iXyJaZoi7iUzNbbGxdip5j0gzKpYghZXlm3F/sR2UQd31McLb/OFwkQa+Gs3eMf2sggXZ7rs1LwKuLLMmHPQ8Ft7QLwOygKtI4VmrzPF5fUmZCooJ2UvsBnMp/7ahKmSXM8odNLc2CNyYcUgrRQhYJuXVY2WReQNoQUJ1zpq0MciVbAwuVwq3EiGheilf6Sc0zPGELbohH8PlfoTScp4isbY/QcKo0MqZ7+feK+aw0sb8D0aM6l44RPEf8nKGKEPgngl621d6zYqCKgvVRf4DOhmxa5r2jzNKyU5Yk40P2YgpARAdXu47FqUvcxCqSFqkaAHLoYzSnXQo8NlARJm9OY7KCaqNVGZKZwLH7YSL0ddxKOTfxH/cUSY+kd7+JqLCqRWTot+2AMcNPd+/CK3/hbPHjwBM7dug4feNP34XEXb4t/IFRzwZ9rOatLV/1OONEC8AoUDmCXAngdG3ChrrDWn6GtBbSTNjQ98vdQ4HPt3gAXJOsokm6Gj1EukmH1aTHga6VtzNtqoVUqmEg9FFAnWBbDK6D5UpHvl1cj8slcnFiTLtBat871wYMn8Ny3/Q2OnypqHH/r4WN4zi/9Nb7yey/BWZvrYXh08PksnGl5iK1EJZ7CI34yFpkvy8MQwQpDDiKpW8sk+x5KB+yD98QvEXoX/bzZjixBvtDL8NaP3oG/v3MfZtIEP/PMi/GKJ5/vb5dxhrWN4sCwMW+uJiU3IwPQAb9oOAgTQpOzJFeRYQPaXf25vm97YPDL5fulfO6dxB16I/uPET//6Y49KhH83Nf24oeefFG9H6OL3cY0+8tLHe9yZi81iAufWQkMkXV8vJAvIAXQFaPypQMOQTuBpFUmRDCc+hlb3fPzf3Y7/uHO/YMwi3f89V1Yv6aD73/czubNaIqymQXsCAG3PgxcAYQlSs4NxT6SWOQ7waWzJNDkeIhj1ZyFNfD3Mmz6GQljwsU9nPnc2bwBbgtobM3CGYWqWAAzjhPYZeGMTVE0bkwKp7WqxFOtuQedSJCV0eV3oyo60eTIrCBYQBlTJ6yVvazSHYXeVZZb3HjHvlo2iFO9DB/+4gPue5RnDFm2nBZF//CKa0r9GI8NdF1H8+wTOVxZTTXErPVG+iHF2jis9bdTxmpSxto24uRg3jr+ytwS2hp+5rXnYP18d5C9oZsabFo7g2c8OlxQRfa5GpgU6+HqEi3H91IBGmuuloHP3QSDFMz8PnWRsb6Xsio4eCnTNwX3JtdEBgBIlkHRwCu+ACWX2II7G8cCC2U1HQau3F619DrKwRQrchKXpHFKWnB7KOCdjyn2+w3zM/jCb7wYz7/+fFx2zia84PoL8Ll3/gesW9POW0/VC3rGMg4YFH5avs9KYdXFQw38+WXoRkhsIIW4tcASc1olPYOzz/L/GreQlWIbz9XF9UFJYvDiJ+zEx2/Zg4Wygblugh976i5nf5prRYzFkSyKQKXjyvLxWCtj4eqHbyZXjcFRQQHemshJrjAhZ1aJTgqAheTQcyz2K12S7/zRdIEunetZm+fxwTc/C0AcoVHjcBPUipsYrESNRAMz/qCYobCqRIs4FHnIcodIubEpZCZ0EsqqLxZVOI4a9+dz9EPpSpBWY+AuEcYAv/IDV2Hjmi4++ZWHMNdN8fpnX4xnXLXd2WYnKRqWivhYaM6Ho1oRfYp1CV8OMm1svMaghrain0aw+Hja6gg7abUZekzfyFNQu8ZCukCXf6BrjL4DWOoMef/EcZJoutxcFlBxWpOA1SVaxp861iVt8GIKdJpLZbovHKeToChgiurvwYJQ+uWL1VVWq5smeMsLLsdbXnB5zKMX/bKN0jZ7gVaKS1o020AaBogz9REZV6wn+atxWLhDXOh+aSwI5Y7n0HyqXBlDfPDFfPoIYChppaa/JS5ZivfSqRXQnYFDrjtjxQrrrXxYdfHQZSEB/C9EEg95smrEh9ozHj2Q9EI3qG8eX1mtYdHIEOHIcsDRNsVzllvsPbKATmqwff1szVFQ83FzWcA4XL5p3sPG81JJ6U0cCc11jCXR2ae/y2iE9HU8OwhxnTH5tTTbxThdO8aJSbEerjrR8kEzV9OCcAWM0smqpaqJEb8GrDfrb8D5jaCAdrHyWrYAWc1YHSfiY80OHF/CG//yThw8sYTcWlx51nr81xdcjtnAhAyrVx81xlO6ELjCtjgXlRp9s7u6JI6K9F/EKRL3oqksSIc4UBcI3Su9R1JFAGHCNRlkIAxSGUwCJsVfzAluriarYKy1iPRXKf078mmNcQcHu/pyYRCoXAYgL2Z1UcZFGELhMxoH5OL2fuVTd2Pv0QUs9HMsZRZ3PnQM/9/n7/N3gOE3FGWalWMj7i3zBLzHuBDktlCSL5apurMyIwTv0yfekqhGhKaX14PwNQttYirur19amPtZ1Z5LpByMx8GVaueGdp0kGuSW0/fM5biRGOP9xMAYkxpjbjXG/PWw45hoToug6Qt8oT+UxcBA9zfiToyua1xoW1ZLy7VFufB9OgkLizseOo4jC33s3DCHXVvW1H4nnZIs6KrhG/tOiNAfi9sfPFI9g2lawPhztVH4ErebJMAM44QyYVQJ6cwkOLcrOeheXon8VNfQ166mc8vFM8qYT62YMDl0xoI7SRMRc/kczrK8YNISWlON2EKvuiKxh+PhC38WwNdRVKofChNDtGT2yhAhkdY3Ot25PsqiqcCUi167xgeZWwrWX9UllHdJz15g8d5/3Y3dRxYGC/wpF2zGMy/dWmuDxOcQ1s6kOLJQD0jZPF/3DSLvd+qPNq9U0LsypwKOdM/l+KQV2KUzC3mw+/Q9iWG+XdZNFGJ1bvxeX5EOLcMpoHNMaVLPQ++C5pNGUPWqIxhhYjCOLA/GmHNQZI35vwG8Ydh2JkY8pGovZGWSOZ8GIkG/5JJsQRzmOsWHxA9tbclMpBp8MYrSOZXER4OmFU/mPHL6k7HfSfyltMhfe/gYdh9ZwFJm0c8tepnFP977CA6d7NXGu8TyY8mc7YssB9TPP/3Cmv5qrpPgJ568qzkmUxEvMuFL4uHKZeZL9+yC66dO6RjMRXtu7neB5oR8+xYzvf9YN4qY3+jrrvDlosPL2upzWoPr/Bwf+KvxAMB/B/Bm6PaHaEwEpxUKBNZ8cEJ+P+NAIy7SKMpg5T5e1UUr7iA5AMkxHTrZq5WUAoBOYnD4VA9b5rtNbtFWvkRAk5O89rwt+LUXXY5//MZBzKQJbrjyTJy7uS5uamhjxfLp5pxEAnWFOBeZXByJofvE96lpio2AzoFoedUoFpN0bkA9V32oSIfGGXGrsE9V4Yr1dGXr1Z5/Qvy0nNV4jDHPB7DPWnuzMeZ7RxnLRBCtEDQfHPnSKCWIBplvKnQNtdeIi7SFTqKNRYgWc2aLaHxqJ+u7A7W3r5vBTGpqhCvLLc5Y2x3cL0FcpovQXLF9A67e0U6N4JpPVQ/judalMyNCw0XtDP7DiOaTOD7D5lB7dP6dDMieSYqBuEThfl400Emrfgde9yjrViqpwYGmVVhTQzSC5pkTq895WFrGDdr5tA2LEenikwC80BjzXABzADYYY/7UWvsjbRuaGPFQm5CQT4pF9XIXsyJsR96i5b3i1iF64aQopk3v4xx4WxoR1BLYdcoNwumvDNQmXH3WOly5fR26qcFsJ0E3MXj+lduwcW5cGeXjoGVfJU5HQrOOEWECqso8XWYF1sR5l4gv+5pJCw6qJjo6ngFgAdio/u7ldQ5Gzccm3rcsjuJ6h65EhVKVIEHuHi7nYaDSq86wz0q4UBljvB8frLW/YK09x1q7C8BLAfz9MAQLmBBOixahq/hlqqS2pc0jcyGRLtWnlCQnRqApAgJN/YTEIIC77LC0CRT3egwIGheU2eZLMMbgJY8+C7uPLOLoQh/b19eLxfrELa38unYPRRPQbxq3wCMWaF598XyhoqqJoHhev7fA/PMx8v5dHEgMtx6D6HfouD+Wtqh6Q96OcqAsNybEt3QyiBZQmZk10KYaFFlFdbq09QyXcNWjm+u4kw/K7KHA+Ms3GWNw7qY59TeZYI/0JdQ/D4eRvwF6NAEczpukk4oNyJauFzJOsxZo7hEBXZBiE/eW56FF3AIai5halNFtKQdtw+8PzbU6KQ6cGsa1vq21nwXw2WHvnxiiFUJMaIsPxxf7+PVP3Y2v7D6KLWu7eOOzL8GVOzZ4rTo8RpG4DMBtNOCpdzVv69CmoPQ7Ph+ewX0e1wPOSWrQCHVmi9z51OewxSA4Ghk2bWX1pXFK9wYtOSFHIxDb1ufe5cTp4tY5ZPYEOixr7TgOMglybh5ws+UYSK/G++fKdmpLLT68isqcgkmeDIp62hAtF9RwHTG3ubX4mT+7Hd/Ydxy9zGLPkQX85J/ehve/+vHYsWm+QbgG+i6jB7NqoK8lJ5DZihvgBVpJlKP2a0pZqxfloP5DmTTHgZhiED7LF9AMxwGKZ+SLjhxCiSsMPYs2/aHoAaDJnWrxjCQOywIXHPQOefC9rCfAQ324RVHzEQQKgwC3QtL4Yp2HVwSr3T/DxCjis7zyw+pnTZle85cCqoVBL7WbNAnNA4dO4d4DJ9BjR+RCL8cn73ioUY8OKDYmObv2RNiN673R6e71tjZF23NlJswO48xcRTlkO0QQLZr1IeW1mSLG8rFycNHFxX3ytiiUhSdLjCEervZXIh9YmtT9+nh/xLHRu/ZZL7tplc1UEixXqA+gc7hFo5WVlbdFonkon9eKwQQ+K4SJ4LQa6V5swaZ3NS4ETa9zeaJJ9HPbYG0tfW8qSxZQzf2i9AuzlW5IhvJwXY1r34aUy+o9jedoXiPTr2iVg+R8paUYxH2IKCBYbh4O/r2qCxQ+UYkiSnFuSoqPPm97/iySwMdUzeYuEpLDklk2hhGFAX+oT5u2YhJftk25MzomJwngRHBaLh0LoHtl961DAa9wYgBw/pY12LpupsZhzHYSPOPyMwFUSlw67V3jobaJdadPVxBQDcOclMO8HM0LXc4XcQtE6C2aQcOa/qStTkVyCEQMAN0PTjNwNNpMK+uu9JbXYG290rXMPa8FOxMX2xahW1wEmQ/flfgyZ/thQQSLrwQMqj3i+qwUJoJo+eALr+H/pkwKixmw1K//3kkT/MGPPAaPPncj1nRTbN8wi1978VW4Ysd6vW3HWPj3InxhANpMHCG9k+ZNnZjmItdeltQDeTk98bcrKR1Q+VVRdo1GAjqlD7lwB/5UaeVXxLksDbl4r9pBNPD5iggSdlmXQ/54w4TdhPYtcUz8esnRuboljnoYQj82TMXDCpoY4XMYBJqiSi2+EM3EfNvWz+JdL7u2dl0/d1t+2uRmkghVsdYgA7G1+zpp4YHNxTqL4sQ1Zb8x8+UDP7h9J6iWLNFl3TWGcTTWT2joJykixYiOGkL72TUUbYwUVkOimbymkxThZbxPaRTyWX1943G59wD+UKlxYpoEkIFb1YD6iaRnQai/XF9qZf53bLK91AC5WCRtdRw+5z+XjoXuydnv0kLYTYEuipAgrge0KIgIiU587KmywZzjbvF8rmSJEi4HXvlegWrsUkTi6XzaICSuU9ynzE6hhXWFdIWuUJ9+IMc8h+YaY1DqHMO3Lysmg2RNCNEiHUsXYQVjTCVmDW2Cf/niA+K5pRhIlwjSuZD4pQWHqwUaHIs4twVB0DJsSk/yUBHTUB6tWK9szfWhl9dzRnHi7dLT8HdFeh4DPzGTrg5ANZf0ftOkjGqw1TNpriaarlAq2Y0pDhT5btqkjukkBUfN/QNNSeE1Qr8iKZgNgqE6K4WJIFoc0kKyKBY8ZVDg06elX9bi4EL9ScRyJzwXWMh3qpSQGqAKQzEWwhCkg6XkEgxKfVWKwnnWVvcM4vCEeKZluFCfTxBGwM0haLo8Gp8PsUU4iOgmpl52zBWM7BPbQnnRQteSWAmUIVREMMV6Gbwrdh8lOeQOq/TOxlGFOwbjPLhHxcQRLQ6fUpITFFpsrnARQBcztYBgDXyTSPOzJKyhtDnjyqtEInLj1FU2nhafuZRVfkaSbmgWrFCGCzKG0G2ckGg6Qt+8u1QClP0gpgiHj+hqrgkhTshok+14DiKMGjjBAvQQKjW+MQeStJJKVgOTQrQm3nroAjnfEReSJpXDX0chGHSqU7I9soqFXoQ81TXxrTE2uAluSMfishA2vjPNDAcuvUno5I+5nu5xoc+4A7qW5snlwOsCPRvp4si1wRuTyP/tILokdradD6DkQrXvlDFpBgnKvaWtF5nCZlJhAv+tFCaa03JNQ4Km5SpGUU56HAkufjWyIXgWeCiwlx5AikxafT/qV7MQ8mfjfkUhp9oQYpxIa9972nLNE7U3SEVj4xTqJNZp7yQ0thDRdXFCLs6YW6eJ49PClghkCeZZNKKLqji+nwSP+EkYAzDpRKt8+USgDIoTWrL3XNxpC8lJSR2Dj9UHwpyT5MzI4uQbK7lMUP8ETccX4woQE5/JQRuz5pCKsKuCj0sYKO0jFr70UOeiHelxXEU46BofOkl8eTktmV9uq9z3LrjEuNQ0xVuuf9QOtU4LoresGIFoGWPOBfB+AGehYMrfY6397WHaWjWiVUtrW74Ul4VKbvA26Wh8HJHmbZ9ZILEseZ2ij+GcgkybA1SckeYM2LeF8juY/VQZs6tQbIhzaWQcMP6MGUQYBhY6E846EUsYZQYMOQ+aa0pmCyudZgUFmoYPF9FN2TujYGRSLbgI8rCc9uBaywwg9LxCEZ+YIuaWxtZJmtWAVhsFxzvSQPoAft5ae4sxZj2Am40xN1pr72zb0KoQrUZa21IZ6ar6LBE61YEmh6Ppe3wVVghSye9KV5Kj0un082LT+wwJadl/xnRBocDYUZT4IVFy4Ftkq2eMrRzD2/cZQ7QMGBTTya9xjW/gwyWukYQ7huhyVQEZESwwSCETy2kT7tt/HAePLeKis9Zj4/yM+rxAmWIprTaez8XFRSN4rK4Wl7hcGKULa+1eAHvLfx8zxnwdwE4ApwfRUgtbWvdgeIL/xIRzDWkcjlYmLFZ3E/Jilkpocg71eYjTfXwuqDiFT+TU5k4+x9/dfQDv+cJ9ONXLcemZa/GLz7oYW+ZnmjeWkPM1bOGQEGGUqYrpO57HK/ROYl0PiFCFiK4UuXOgFqyvcdqcAFpr8ab334yP/PO30e0kyHPg/a97Er7niu16ALVwaG7r4kJri/+9NMS7ao9wSuXolozZBeBaAF8a5v5VkZTbMAz9rKrOvJQVJyJtDlf1aFewqybmaf5cbRWOLo98V1uUUSFUlViio1jhJJG4bfcRvPsfv41jixn6ucVdDx/HL/7VvyH3sAtanxbjt2TFcLbaO1nOgNxQcHyaVNZPEjH5YfSXX3oAf/7F+7DQy3HsVB8nFvv40Xd9AccXelHz15Z7dqWNHve70jCI2nB8EC4hBmPMOgD/E8DrrbVHhxnHqnBasWltXTon0m8kjmO0zfqWVX8TjO/EIjFFy7HuzY/uaS9khfvHew5hka3szAIPH1vCgeNLOHP97KiPNBKcnKL4u5MUekWaM/6cWg58IijDIGaz+zjtm755ACcFW28A3Lf/BC49e1O4bdNc4wYYREfEeP2vBGhMAThLiAGAMaaLgmB90Fr7F8OOZVWIlhZrqIlSIf2GC9pvPg6KB/MCRThRG2uNzyPfZUUia5p8xFBIRsgK11UayK1Fx9OwlorY1YXm8a5doxFq4qI44XLliXINlyzK3JHVogp+p7Zya3HwxBJyC2xdO4PU8fLLpTg0zt68BrOdBIuMZev1c2zdMKsGUMvn7aQAFOdlmWPOoJIoXEVelhuj+GKZQrb8IwBft9b+v6OMY1WIFm3kUEGsYfyF6D5XXJtEjGI3hBiPfA0yU0LsfRw8O2knAZ571Zm48a4Dg000kxo86uwN2LymPtsyLTCPQzRoFsOge+R4peVOUz5z/RhV7KF+BrqdrN5/qPah9FDnnuULvQx/dusePHKqqMi9bibFf3zsTqxT/ExkQkQE+pb4T0+7GO//x3vx8OEFLPQyzM+k+PHvuwTbN64ZtMWthxrt5Ip5AINQHg4izJQHjddvXClF/Igi+pMAvALAV40xt5Xf/aK19hNtG5psPy209xcaXGfiHC9DgdQxpbaAsLLeNcZuWvRh4Hb7cBW80Ip9nrd5Hu944eX4oy8+gCMLPVx7zka86vpza0pULWNBaurxeRokMcps4b7Brb6asp2YWGq24cArQlsswspll2d5F8Cn7tqPAyWXBQCHT/Xx8a89jJc/dmfVh63E7E5S3wg+DlJWw16/pot/ePuz8Gef/xb2HVnAEy7eimc/5uxaWyHumSvefZfS8yRmOJ/EkTCieGqt/TzGxBBONNECmK8KdH8uyTGEXAYa3JfjWtIpyFJbasYFpR9uGXRlppDxcZmyUWuOlhaDCsyAO6/8pWeuwztedIVzfFrGAukLpT2TRt9jRStfummfN/0wePDIQiPW8qFji7WxuKo3u9Ag9OxdrFvTxWueeelQY5UHD3G9GlbTI73gildxAAyT4GergkzRbI000+LaYlPzQgJaGhS6loovWFSmYk0fQN/5zNE+SC9qrQCFFh9HIgC/RksF7LMwxlijXJeMI5g7FCGgYZitoJYJK7/TxMB5pljUXBGki4yERuhpHQ0LLfib1qdMbU26wdWECXxWChNLtGICkXPbPOkzZXHRtS6xxRWcO+wm1sYeu7it498SLlGibZyebHPQd0nUF/rFp5/ri0VuJI1TCOlcNLE6pFOkwPdBG6Yay7Mu3YpuUqmNO4nBDZdvG1wbk8I7Fq5bsrxy04lJLS3bTJOy/kDpcrH8flhhJMZ4PyuFiRcPffByDC3msE2cGFceU19W+X5YGMe/OYgwSSfbUHgOvy6U3VTTX6WmWDAhD/4OU7YD4Xnh3vTcI98HnzFnx4Y5vOq6c3Dnw8eRW4vLtq3Ddubu4TqQfON0/aY9vxT5XE7DIUNTjD5sRTEhY5lYouXiGNps6pj25PfSisVN9GSpIcgQDDrtfUGxMuZSptWVgb88OLifW/T6GWbmijSIFENn2f0xhJOMFK7sFk79lY1XAGuWR581l3vTD+L17HD+SdYCG+ZmcP15W9SN3030wHMfpIW1+M6qHIama+T5umoRHqhLCwZx3DKFgNH6kUVjxw2X5XM1MBFEi79E2niuQGSAFdREk2PoOBY5bVQZj8iv1axYudUrPWuhQhRsTb43ZEkjYtaw9tn6eLUNSsG8f/mVh/ChW/bAANi8potfuuESnLNpzmtx4v5SMqaO+oOpiERbbpE2jWHjdI2DEwmaO03kcfknVWEzfiNHQ8nOFOY8VIgHTJeXIQsEshMH+Y0Dx/GXd+zDwZM9bJ3v4pWP31nj5HyQB11iiowRxK3HEmkZAtYr3/Ny6r2mdQ9L0CLjH1pInaQqPzVXktfFrKrR18uLTT+TVnK/L+g6F5tBvoI2VizX9wOfqTL9zFyn8nnSTuDMVu4SrsV60/2H8dHb9iLLLfq5xYETS3jbJ+5G36Moo3klHV+/NFpIsSjLqzCpxdKQ4RJL+Ibo55U1LVRhuk2iRJd/Eu9XGjn47y7dZSNzqqniCqmNXu425BAePLqAP/nyHhw8WfiAHTjZwx/8ywM151LtNVLWVa1sG7ld+NaAhOryMYqXbAQiwnhWBKtOtOiEIFjUXyyfELmgLIrNGErKBrh9gWoe3i3GPa53FKP7vfmBI7VNYQGc6mXYx8z4EtrmzUV/mhMjETkSc4m4y7xdrgrTbSAJaEwm1VDmzzZwBXD7jCb/tu9447DIcltzqZhJ6+sjpKNbZlozNkwK0Vp18bBVbiztu8gFG8NFaSESLnadTmrZrm9xarnSYxSt62bTxr393GKNJ2excw5JDoHfqtVJ2ucid/U5jBvEMNcBHuW28v0w1sKZNGnEUObWossGKR2bueiqjq39MNS1tLw6p5VNqezDqnNakzENBUgZTNxFavwKWsozT64Smu6Loyu4wVhr33OuOBNruulgrmY7CZ50wWZsnncHQsUQilFOR+1WFwGWBgxA12cZ5TqD+hypYqucU9P8vY1xxjct1569ATOdZDD2TmKwY/0sztpQ12lpHEiM2B0LuZZk9olxg/SdU04L4dxYHFKRTvfHQEuxq2V0aBMiQYswliGhE7htRsqt62bwm99/BT56614cOtXDo3duwPOvOtN7j2btkhY7Uvy6Mnz60KbCNFDp7UIZP0mvQ3MkOd1OAhihiJfKc1KYE1Ppc1eQ3HKopub6uQ5+9sm78Ddf34dHTvVx/uY5POfybdF+SjyrSEx/Lgy7lkbBavuJEVadaBF3M3AD8Oim6NqcLdjYiaR7KdB0uU8mH4Z5+Weun8VPP2VXq3tCm5c4G9LjEOFp4zYhv4u5LwSyarrulwHGrutCXZGvV2or/7CY8W2Z7+IVj9sZvtCBNhlhQ1gxQmKwog6kPqw60QL8ubHUa4ecu1UJNF1lhDavUcSpNm3/e4CPSE5RYJKmaNV1WlNMMcXpAWOM9xNx/w3GmLuMMfcYY94y7DimRGuKKaaIwiiKeGNMCuB3ATwHwJUAXmaMuXKYcUyJ1hRTTBGFEa2H1wG4x1p7r7V2CcCHAbxomHFMidYUU0wRBRP4L4CdAB5gf+8uv2uNZVFL33zzzQeMMfctR9tTTDHFSDh/mJtuveXmT8/PmK2By+aMMV9mf7/HWvue8t8aVRsqlmFZiJa1dlv4qimmmOJ0gbX2hhGb2A3gXPb3OQD2DNPQVDycYoopVgI3AbjEGHOBMWYGwEsBfHyYhr7DvJammGKK1YC1tm+M+RkAn0bhW/tea+3XhmnL2HEkBp9iiimmWCFMxcMpppjitMKUaE0xxRSnFaZEa4oppjitMCVaU0wxxWmFKdGaYoopTitMidYUU0xxWmFKtKaYYorTClOiNcUUU5xW+N9/rjSr0C52KAAAAABJRU5ErkJggg==\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "D = synth_data[0]\n", + "D.plot_hidden_states()\n", + "D.plot_latent_space()\n", + "D.plot_expression_space()\n", + "D.plot_metagenes()\n", + "D.plot_cell_types()\n", + "D.plot_metagenes_in_situ()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python 3", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.7.10" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}