diff --git a/basics/dyn_sys/dyn_sys.ipynb b/basics/dyn_sys/dyn_sys.ipynb
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@@ -0,0 +1,774 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0f757b5c-c313-4121-a962-b91491124c7d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
+    "\n",
+    "mpl.rcParams['font.size'] = 16"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f018655-fd05-4486-ba40-941f97d41e47",
+   "metadata": {},
+   "source": [
+    "## First-Order Linear Univariate System\n",
+    "\n",
+    "We consider a variable (like a membrane potential, a concentration of a molecule, etc.), say $x$. We want to simulate the evolution of $x$ over time from the knowledge of. the law that determines how $x$ evolves given its current value.\n",
+    "\n",
+    "Let first assume that $x$ increases by a constant amount $a$ at each time:\n",
+    "$$ \\frac{\\mathrm{d} x}{ \\mathrm{d} t } = a $$\n",
+    "Starting from an initial value (say $x_0$ at $t = 0$), we can simulate the system. The above law of evolution means that\n",
+    "$$ x(t + \\mathrm{d} t) = x(t) + a \\mathrm{d} t $$\n",
+    "This can be simulated in discrete time where $t$ goes from $0.0$ to a given time horizon $T$ with a given time step $dt$:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "93e6ac5f-873c-4b49-87cd-775e32d66a66",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# duration of simulation\n",
+    "T = 2.0\n",
+    "\n",
+    "# time step of simulation\n",
+    "dt = 0.1\n",
+    "\n",
+    "# linearly spaced time stamps from 0.0 to T with step dt\n",
+    "vT = np.arange(0.0, T, dt)\n",
+    "print('time stamps of simulation:', vT)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "faa2d2f2-ca67-4cf6-aa89-edd4271e3dec",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# number of time steps\n",
+    "nT = vT.size\n",
+    "\n",
+    "# check time stamps\n",
+    "for iT, t in enumerate(vT):\n",
+    "    print(t)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a554bef-03b8-4ca1-8b5f-1a20e7b57b09",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# simulated variable over time\n",
+    "x = np.zeros([nT])\n",
+    "\n",
+    "# set initial condition\n",
+    "x[0] = 1.3\n",
+    "\n",
+    "# coefficient a\n",
+    "a = 1.0\n",
+    "\n",
+    "# loop over time stamps\n",
+    "for iT in range(1, nT):\n",
+    "    x[iT] = x[iT-1] + a * dt\n",
+    "    \n",
+    "\n",
+    "# plot\n",
+    "plt.plot(vT, x)\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('x')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69691233-febe-4527-a534-73574b1bfbf6",
+   "metadata": {},
+   "source": [
+    "This linear growth is rather simple, with an increase (or a decrease if $a < 0$) that doesn't change across time.\n",
+    "\n",
+    "Now let's change the law and make the evolution of $x$ dependent on $x$:\n",
+    "$$ \\frac{\\mathrm{d} x}{ \\mathrm{d} t } = a x $$\n",
+    "The change in $x$ at each time is modulated by the current value of $x$: if $x$ is small, small change; if $x$ is big, big change.\n",
+    "\n",
+    "Let's simulate it again, this time with various initial conditions, say $x_0 = 1.0$ and $x_0 = -0.5$. We can encapsulate the simulation code in a function."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9ffbe263-aff1-4725-9c93-c30542616976",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def sim(a, x_0):\n",
+    "    # simulated variable over time\n",
+    "    x = np.zeros([nT])\n",
+    "\n",
+    "    # set initial condition\n",
+    "    x[0] = x_0\n",
+    "\n",
+    "    # loop over time stamps\n",
+    "    for iT in range(1, nT):\n",
+    "        x[iT] = x[iT-1] + a * x[iT-1] * dt\n",
+    "        \n",
+    "    # return simulated trace of x\n",
+    "    return x"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c27b8465-a4f0-4b8a-b81b-54d147f5fbf3",
+   "metadata": {},
+   "source": [
+    "Now the simulation can be easily repeated:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b9ee7e68-1338-488e-a193-9eeffafba8fa",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.plot(vT, sim(a, 1.0), label='$x_0 = 1.0$')\n",
+    "plt.plot(vT, sim(a, -0.5), label='$x_0 = -0.5$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('x')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "96d2116c-1ab0-4349-9407-fe5b4965c7cf",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "It looks like the positive trace is going to keep increasing until explosion and likewise in the opposite direction for the negative trace.\n",
+    "\n",
+    "The Let's see what happens with a negative $a$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "82b6b7e5-aaba-4997-bc77-7d284aa4523e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "a = -1.8\n",
+    "\n",
+    "plt.plot(vT, sim(a, 1.0), label='$x_0 = 1.0$')\n",
+    "plt.plot(vT, sim(a, -0.5), label='$x_0 = -0.5$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('x')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59703ab3-f173-4f2c-88f8-a2c264c99f67",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Now it looks like both traces converge toward 0. And of course the middle case $a = 0$ results in a constant trace.\n",
+    "\n",
+    "In such linear differential system of order 1 with 1 variable, the dynamics are not rich: they can be of two types, converging or diverging (excluding the constant case).\n",
+    "\n",
+    "You can change the update rule to add a constant $b$\n",
+    "$$ \\frac{\\mathrm{d} x}{ \\mathrm{d} t } = a x + b $$\n",
+    "such that the asymptotic value (limit for infinite time) is non-zero. \n",
+    "In any case, the theory is that for $x > \\frac{ -b }{ a }$, $\\frac{\\mathrm{d} x}{ \\mathrm{d} t }$ has the same sign as $a$; similarly, for $x < \\frac{ -b }{ a }$, $\\frac{\\mathrm{d} x}{ \\mathrm{d} t }$ has the same sign as $-a$.\n",
+    "\n",
+    "This means that if $a > 0$, $x$ will be driven away from $\\frac{ -b }{ a }$, which is then an instable fixed point. Conversely, for $a < 0$ the fixed point $\\frac{ -b }{ a }$ is stable, as deviations are brought back to it by the dynamics."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "45e3e452-8f20-4eed-a394-2b5bf58391e4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "b = 0.0\n",
+    "a = 1.0\n",
+    "vx = np.linspace(-2.0, 2.0, 50)\n",
+    "\n",
+    "plt.plot(a * vx + b, vx, c='r', lw=2, ls='--')\n",
+    "plt.plot(0.0 * vx, vx, c='k', ls=':')\n",
+    "plt.xlabel('$dx/dt$')\n",
+    "plt.ylabel('$x$')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb68fb53-6e55-4713-b3ba-9e521a6b4fd9",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Coupling two Variables\n",
+    "\n",
+    "Now we consider two variables, $y$ in addition to $x$. The simulation function can be redefined, now $A$ is a matrix that describes "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6abe8523-e6ae-4226-8fb4-8ace5374c9a7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def sim2(A, x_0, y_0):\n",
+    "    # simulated variable over time\n",
+    "    x = np.zeros([nT])\n",
+    "    y = np.zeros([nT])\n",
+    "\n",
+    "    # set initial condition\n",
+    "    x[0] = x_0\n",
+    "    y[0] = y_0\n",
+    "\n",
+    "    # loop over time stamps\n",
+    "    for iT in range(1, nT):\n",
+    "        x[iT] = x[iT-1] + A[0,0] * x[iT-1] * dt + A[0,1] * y[iT-1] * dt\n",
+    "        y[iT] = y[iT-1] + A[1,0] * x[iT-1] * dt + A[1,1] * y[iT-1] * dt\n",
+    "        \n",
+    "    # return simulated traces\n",
+    "    return x, y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e3e533a4-b2c0-4d28-8a9a-cc7e35ac6982",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# coupling matrix with positive interaction from y to x, but zero interaction from x to y; this is in addition to positive self-feedback (1.0 for each on the diagonal)\n",
+    "A = np.array([[1.0, 0.5], [0.0, 1.0]])\n",
+    "\n",
+    "print(A)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "15b3f399-1359-44be-b102-304d4500ecfb",
+   "metadata": {},
+   "source": [
+    "Here the diagonal elements of $A$ play the same role as $a$ above in the univariate system."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "636a7281-ebcc-4874-8516-b9979dd8aa1a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "x, y = sim2(A, 0.5, -0.1)\n",
+    "\n",
+    "plt.plot(vT, x, label='$x$')\n",
+    "plt.plot(vT, y, label='$y$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('activity')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "fd1d9aed-d612-4f0d-8d97-da3adb333bdf",
+   "metadata": {},
+   "source": [
+    "The overall positive feedback causes the traces to diverge until explosion.\n",
+    "\n",
+    "Let's try and stabilize the system, first with negative interactions between $x$ and $y$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "693c5595-bf5c-43fc-88df-8dba92c6d1ee",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# coupling matrix with negative interactions from y to x, and from x to y\n",
+    "A2 = np.array([[1.0, -0.5], [-0.5, 1.0]])\n",
+    "print(A2)\n",
+    "\n",
+    "x, y = sim2(A2, 0.5, -0.1)\n",
+    "\n",
+    "plt.plot(vT, x, label='$x$')\n",
+    "plt.plot(vT, y, label='$y$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('activity')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5eba5e1e-65a6-4d68-8cd8-c82d17b66f3d",
+   "metadata": {},
+   "source": [
+    "Maybe stronger negative interactions is needed..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c0ac2e67-2e11-4988-a1b2-1a962a2840c3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# coupling matrix with strnoger negative interactions\n",
+    "A3 = np.array([[1.0, -1.0], [-1.0, 1.0]])\n",
+    "print(A3)\n",
+    "\n",
+    "x, y = sim2(A3, 0.5, -0.1)\n",
+    "\n",
+    "plt.plot(vT, x, label='$x$')\n",
+    "plt.plot(vT, y, label='$y$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('activity')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8322865a-5462-4933-a01d-676350a31eb7",
+   "metadata": {},
+   "source": [
+    "This doesn't seem to work... Let's try with negative self-feedback."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7d74d572-1e22-4300-a091-25a6001c9855",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# coupling matrix with negative self-feedback\n",
+    "A4 = np.array([[-1.0, 0.5], [0.5, -1.0]])\n",
+    "print(A4)\n",
+    "\n",
+    "x, y = sim2(A4, 0.5, -0.1)\n",
+    "\n",
+    "plt.plot(vT, x, label='$x$')\n",
+    "plt.plot(vT, y, label='$y$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('activity')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9c9dc7bf-a512-4078-85ab-f48a38c803c5",
+   "metadata": {},
+   "source": [
+    "Now it works. Check also that negative self-feedback can stabilize the system with positive interactions between $x$ and $y$ (provided this is not too large).\n",
+    "\n",
+    "The theory behind is that the spectrum (eigenvalues) of matrix $A$ determine the evolution of the system. If both are negative (there are 2 because we have a 2-dimensional system here), the system is stable. If one is positive, the system is unstable and will most likely diverge toward explosion (except for very specific initial conditions).\n",
+    "\n",
+    "To show this, we remind that an eigenvalue $\\lambda$ is paired with an eigenvector $v$ that satisfies:\n",
+    "$$ A v = \\lambda v $$\n",
+    "This means that, in the direction of the vector $v$, the effect of $A$ can be analyzed as a 1-dimensional system. Importantly, $\\lambda$ plays the same role as $a$ above and it thus determines the stability.\n",
+    "\n",
+    "Eigenvalues can be obtained using the function `eigvals` from `numpy.linalg`:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4f0a10b2-9f79-4429-8f6f-b2a0f849ae08",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(np.linalg.eigvals(A))\n",
+    "print(np.linalg.eigvals(A2))\n",
+    "print(np.linalg.eigvals(A3))\n",
+    "print(np.linalg.eigvals(A4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "75ba4c21-a852-417d-bc20-cebc9ac8d985",
+   "metadata": {},
+   "source": [
+    "We can see that diverging systems have at least one positive eigenvalue. \n",
+    "\n",
+    "This analysis can be transposed to a dynamic system of arbitrary dimensionality.\n",
+    "\n",
+    "We can even generate damped oscillations with complex eigenvalues"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fb784f9f-45c2-4dd3-bc8c-aa5dc647afe5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# coupling matrix leading to oscillations\n",
+    "A5 = np.array([[-2.0, 2.0], [-4.0, -2.0]])\n",
+    "print(A5)\n",
+    "print(np.linalg.eigvals(A5))\n",
+    "\n",
+    "x, y = sim2(A5, 0.5, -0.1)\n",
+    "\n",
+    "plt.plot(vT, x, label='$x$')\n",
+    "plt.plot(vT, y, label='$y$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('activity')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "db792ebd-e4d3-40b9-80bc-f31b14e461d5",
+   "metadata": {},
+   "source": [
+    "## Beyond Linear Systems: Non-Linearities\n",
+    "\n",
+    "The analysis above is simple because the the system is linear. Things get more complicated when $\\frac{\\mathrm{d} x}{\\mathrm{d} t} = f(x, t)$ involves non-linearities."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce408596-1bf2-4ab2-8d40-0b9ac877f1d7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# finer time step fpr simulation\n",
+    "dt = 0.02 # check with 0.1\n",
+    "vT = np.arange(0.0, T, dt)\n",
+    "nT = vT.size\n",
+    "\n",
+    "\n",
+    "# polynomial function\n",
+    "def poly(a0, a1, a2, a3, x):\n",
+    "    return a0 + a1 * x + a2 * x**2 + a3 * x**3\n",
+    "\n",
+    "# simulation with initial value as before\n",
+    "def sim3(a0, a1, a2, a3, x_0):\n",
+    "    # simulated variable over time\n",
+    "    x = np.zeros([nT])\n",
+    "\n",
+    "    # set initial condition\n",
+    "    x[0] = x_0\n",
+    "\n",
+    "    # loop over time stamps\n",
+    "    for iT in range(1, nT):\n",
+    "        x[iT] = x[iT-1] + poly(a0, a1, a2, a3, x[iT-1])* dt\n",
+    "        \n",
+    "    # return simulated trace\n",
+    "    return x"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ce4bc3be-4050-4767-97a7-0ec4e60f66fd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "a0, a1, a2, a3 = -1.0, 2.0, 2.0, -1.0 # try change all signs\n",
+    "\n",
+    "for x0 in [4.0, 2.0, 0.0, -3.0]:\n",
+    "    plt.plot(vT, sim3(a0, a1, a2, a3, x0), label=f'$x_0 = {x0}$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('x')\n",
+    "plt.axis(ymin=-5, ymax=5)\n",
+    "plt.legend(loc='upper right')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1705a757-b8fd-420d-97d8-5f8fa3ff4d47",
+   "metadata": {},
+   "source": [
+    "As before, we can look at fixed points $x$ that nullify $\\frac{\\mathrm{d} x}{ \\mathrm{d} t }$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ac022664-9021-4a6b-972a-c3a10010122e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "vx = np.linspace(-5.0,5.0,100)\n",
+    "\n",
+    "plt.plot(poly(a0, a1, a2, a3, vx), vx, c='r', lw=2, ls='--')\n",
+    "plt.plot(0.0 * vx, vx, c='k', ls=':')\n",
+    "plt.xlabel('$dx/dt$')\n",
+    "plt.ylabel('$x$')\n",
+    "plt.axis(xmin=-5,xmax=5)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ff4e16e6-f206-4c62-9fa1-6cb5a8b7bf7c",
+   "metadata": {},
+   "source": [
+    "We can have mutliple stable points, with different \"basins of attraction\". \n",
+    "\n",
+    "However, the analysis of a univariate system is still rather simple, with limited possibilities.\n",
+    "\n",
+    "## Coupled Non-Linear Dynamics\n",
+    "\n",
+    "Now we turn to a more general case with 2 variables $x$ and $y$.\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cfabc770-0343-4572-8151-4044dbadb84e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def sim4(A0, A1, a2, a3, x_0, y_0):\n",
+    "    # simulated variable over time\n",
+    "    x = np.zeros([nT])\n",
+    "    y = np.zeros([nT])\n",
+    "\n",
+    "    # set initial condition\n",
+    "    x[0] = x_0\n",
+    "    y[0] = y_0\n",
+    "\n",
+    "    # loop over time stamps\n",
+    "    for iT in range(1, nT):\n",
+    "        # 2nd order polynomial in x, linear in y\n",
+    "        x[iT] = x[iT-1] + ( A0[0] + A1[0,0] * x[iT-1] + A1[0,1] * y[iT-1] + a2 * x[iT-1]**2 + a3 * x[iT-1]**3 ) * dt\n",
+    "        # linear in both x and y\n",
+    "        y[iT] = y[iT-1] + ( A0[1] * A1[1,0] * x[iT-1] + A1[1,1] * y[iT-1] ) * dt\n",
+    "        \n",
+    "    # return simulated traces\n",
+    "    return x, y"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d2c2072-59f8-4ecf-a805-34e23d0c9797",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# parameter for self-feedback and coupling\n",
+    "A0 = np.array([1.0, 0.5]) # constant drift\n",
+    "A1 = np.array([[-1.0, -2.0], [1.0, -2.0]]) # linear feedback\n",
+    "a2 = -2.0 # quadratic feedback for x only\n",
+    "a3 = 2.0 # cubic feedback for x only\n",
+    "\n",
+    "print(A0)\n",
+    "print(A1)\n",
+    "print(a2)\n",
+    "print(a3)\n",
+    "\n",
+    "# initial conditions\n",
+    "x0s = np.linspace(-5, 5, 10)\n",
+    "y0s = np.linspace(-5, 5, 10)\n",
+    "\n",
+    "plt.figure()\n",
+    "for x0 in x0s:\n",
+    "    for y0 in y0s:\n",
+    "        x, y = sim4(A0, A1, a2, a3, x0, y0)\n",
+    "        plt.plot(vT, x, label=f'$x_0 = {x0}$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('x')\n",
+    "plt.axis(ymin=-5, ymax=5)\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "plt.figure()\n",
+    "for x0 in np.linspace(-5, 5, 30):\n",
+    "    x, y = sim4(A0, A1, a2, a3, x0, y0)\n",
+    "    plt.plot(vT, y, label=f'$x_0 = {x0}$')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('y')\n",
+    "plt.axis(ymin=-5, ymax=5)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "69ba35e1-0937-47df-a181-f997a8513cdb",
+   "metadata": {},
+   "source": [
+    "To better make sense of the joitn evolution of $x$ and $y$, we can look at the phase space."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c6fdc47-a93a-4d3a-8f6d-0715e5e11f59",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "if False:\n",
+    "    # single initial condition\n",
+    "    x0s = [1.0]\n",
+    "    y0s = [1.0]\n",
+    "else:\n",
+    "    # grid of initial conditions\n",
+    "    x0s = np.linspace(-4, 4, 10)\n",
+    "    y0s = np.linspace(-4, 4, 10)\n",
+    "\n",
+    "plt.figure()\n",
+    "for x0 in x0s:\n",
+    "    for y0 in y0s:\n",
+    "        x, y = sim4(A0, A1, a2, a3, x0, y0)\n",
+    "        plt.plot(x0, y0, 'xk')\n",
+    "        plt.plot(x, y)\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('y')\n",
+    "plt.axis(xmin=-5, xmax=5, ymin=-5, ymax=5)\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0f9c03d7-beb9-4d40-a49e-fe3dcd026009",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# mesh for gradients\n",
+    "xmin = -5.0\n",
+    "xmax = 5.0\n",
+    "ymin = -5.0\n",
+    "ymax = 5.0\n",
+    "n_aff = 20\n",
+    "\n",
+    "vx = np.linspace(xmin, xmax, n_aff)\n",
+    "vy = np.linspace(ymin, ymax, n_aff)\n",
+    "\n",
+    "VX , VY  = np.meshgrid(vx, vy)                       # create a grid\n",
+    "DX = A0[0] + A1[0,0] * VX + A1[0,1] * VY + a2 * VX**2 + a3 * VX**3\n",
+    "DY = A0[1] * A1[1,0] * VX + A1[1,1] * VY\n",
+    "M = (np.hypot(DX, DY))                           # Norm of the growth rate \n",
+    "M[ M == 0] = 1.                                 # Avoid zero division errors \n",
+    "DX /= M                                        # Normalize each arrows\n",
+    "DY /= M\n",
+    "\n",
+    "# nullclines\n",
+    "dx_zero = - ( A0[0] + A1[0,0] * vx + a2 * vx**2 + a3 * vx**3 ) / A1[0,1]\n",
+    "dy_zero = - ( A0[1] + A1[1,0] * vx ) / A1[1,1]\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.quiver(VX, VY, DX, DY, M, pivot='mid', cmap='jet')\n",
+    "plt.plot(vx, dx_zero, ls='--', lw=2, c='gray')\n",
+    "plt.plot(vx, dy_zero, ls=':', lw=2, c='gray')\n",
+    "plt.axis(xmin=-5, xmax=5, ymin=-5, ymax=5)\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('y')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ef990cb5-ada5-493d-84f1-e916b393aaf5",
+   "metadata": {},
+   "source": [
+    "To understand the dynamics, we can study the nullclines where the derivatives of $x$ and $y$ become zero, the intersections correspond to fixed points in the phase space.\n",
+    "However, analytical analysis becomes difficult in general in high dimensions, leading to a variety of situations: stable/unstable fixed points, limit cycles, etc.\n",
+    "\n",
+    "Exercises:\n",
+    "- reproduce the Fitzhug-Nagumo (cf. nb_neuronal_dynamics1) with the same implementation as above based on updates with fixed discrete time steps $dt$\n",
+    "- change the coefficients (one by one) to see the changes of behavior, in particular when the limit cycle disappears."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/basics/python/basic_python.ipynb b/basics/python/basic_python.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..8b2b9ce6d00293c8df24078c21901e9c6b04c5b7
--- /dev/null
+++ b/basics/python/basic_python.ipynb
@@ -0,0 +1,1256 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "0b9ae567-11a5-4565-9cae-d35a5729c4a5",
+   "metadata": {},
+   "source": [
+    "# Short Introduction to Jupyter and Python for Scientific Calculations\n",
+    "\n",
+    "## Cells in Notebook\n",
+    "\n",
+    "Remember to double click on cells to edit them, then run them to process the text or execute the code to peform calculations (shortcut by pressing MAJ+ENTER or CTRL+ENTER on the keyboard). Change the cell to be text or code. The output of next cell is not the same whether it is text or code..."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "eae69337-7f22-465c-ab1c-58b9d34850ba",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "1+1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "47b066a2-d866-426a-ad2a-3f5be2f41fa8",
+   "metadata": {},
+   "source": [
+    "Text in markdown cells can be formated to display titles, subtitles, lists, etc.\n",
+    "\n",
+    "Check `#` for titles, `-` for lists, `$` for mathematical expressions, etc."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "368cdad0-444c-4a86-b037-77f2d40281e9",
+   "metadata": {},
+   "source": [
+    "## Starting with Python\n",
+    "\n",
+    "Now let's switch to Python basic programming. In Python, everything is an object, defined by a 'type'. For example, numbers can be integers or floats (among other types, but these are the most common types). Let's create a variable $a$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e6fbb24b-f5fa-4734-8c31-b5d5fb96cca7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "a = 1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8025f157-d03b-4056-9d36-aa2ebbbb4f57",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "type(a)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1916774d-91bb-4d3e-afe9-e60baf15410e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "b = 1.0"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cccc4090-fa5b-4560-bfa3-159a1cb1f07e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "type(b)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7217d639-f05c-4219-9879-11a23bbeac1e",
+   "metadata": {},
+   "source": [
+    "Many other types are available, like strings of characters for text (use quotes like `'`, `\"` or `\"\"\"`) or booleans for logic."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "af3232b7-258d-4192-9bea-b3ae1fdbcdb2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "c = 'char'"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2ba66437-4943-4e6d-bd59-325f21d03755",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "type(c)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1b7e6acd-8ada-48a6-9c0b-c71376252206",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "d = True"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3c1ccfba-6281-42af-8257-30e13edec965",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "type(d)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3a2a06f8-9970-4686-965f-869c018adc37",
+   "metadata": {},
+   "source": [
+    "We can add an integer and a float, but not an integer with a string... While doing that, you ask Python to convert one of the object to the \"broader\" class (e.g. int to float)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "41c10d3d-a36d-4f77-9c18-d79c22f7a8d1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "a+b"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1f209864-faf5-48d7-9311-64671af99d59",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "type(a+b)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2bb7efa-0c7a-47f9-a8e8-a5acecc719ab",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "a+c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4397d2b6-5f33-4b28-b08d-194984d5ca4d",
+   "metadata": {},
+   "source": [
+    "Equality between variables is strictly well-defined for integers, but only up to a tolerance for floats"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34663a32-b3ca-4b45-a600-806b2a17a9f4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "1+4==5"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1ec232d1-9423-49d9-8ea3-eb7af71d02bd",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "0.3==0.1+0.1+0.1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "60f47ba6-08fd-4d91-9dbb-f66e3c27b742",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "0.1+0.1+0.1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7f652788-b688-42cf-999d-695db129e631",
+   "metadata": {},
+   "source": [
+    "You can now write several lines of code in a cell (note that only the last output of the last line is displayed if `print` is not used"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "68cbf7ab-c18a-419b-9a73-5bc87ec455df",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "a\n",
+    "print(a)\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b39c84c6-c55f-4f14-8ef8-f9af74efa185",
+   "metadata": {},
+   "source": [
+    "Lists are a type with successive items, that can be of various types. They can be created using square brackets and commas to separate items."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c1f2b609-84b1-4c2b-8920-f6c0322a8ebc",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "l = [a, b, c, d]\n",
+    "print(l)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a867add9-aad6-4d35-96f4-4a9ec7b1bd77",
+   "metadata": {},
+   "source": [
+    "A list has a length corresponding to the number of items, which can be called using the position index. In Python, the first index is 0..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d479220f-3edf-4326-b3ee-c0e555fe27fc",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(l[1])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e204b04b-786a-4b19-8a5e-fe468c708417",
+   "metadata": {},
+   "source": [
+    "A list can be empty..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d453913b-0e92-4a8d-9fa7-e0945de9ae58",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "l = []\n",
+    "print(l)\n",
+    "print(len(l))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "74ccbe9c-336c-4838-b74e-ad0242658305",
+   "metadata": {},
+   "source": [
+    "Dictionaries are similar to lists, but indexed by arbitrary objects as 'keys'. This means that you can store for example number indexed by strings. Disctionaries can be created using curvy brackets, with the syntax `key: value`."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "67707155-57fd-43b8-ab98-241463c1ac99",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "dic = {}\n",
+    "dic['weight'] = 12.3\n",
+    "dic['height'] = 50.9"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0da2e874-6a0a-4bc2-93ef-fd4ccdd5486c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(dic)\n",
+    "print(dic['weight'])"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "303959fd-869c-4a29-b8f1-730794443812",
+   "metadata": {},
+   "source": [
+    "Check what happens when you ask for an inexisting key...\n",
+    "\n",
+    "We now consider loops that repeat some code for several values of a variable (here $i$). Loops are defined with the keywords `for` and `in`, while the commands to repeat are in the same indented block."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9287678-a090-4d0a-b5a7-8ab9a3c60993",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for i in [a, b, c, d]:\n",
+    "    print(i)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56dce070-2088-40a3-ab11-df872aa033cf",
+   "metadata": {},
+   "source": [
+    "CAREFUL HERE: indentation is part of the syntax in Python!!!"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "846f1081-00c2-4764-b42b-c06bee4ee0bc",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for i in [a, b, c, d]:\n",
+    "    print(i)\n",
+    "    print(i+i)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cd163079-abcb-42e7-b9a7-ee69c5b1bf53",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for i in [a, b, c, d]:\n",
+    "    print(i)\n",
+    "print(i+i)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3fb34113-0858-4864-bd27-a4e3f7d21233",
+   "metadata": {},
+   "source": [
+    "Finally, we can use tests to decide which calculation to apply, like:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c514b68a-5649-41f4-860d-b7f2c0884b7c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "for i in [a, b, c, d]:\n",
+    "    if type(i)==int:\n",
+    "        print('{} is an integer'.format(i))\n",
+    "    else:\n",
+    "        print('{} is not an integer'.format(i))        "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e76cc73-a114-46ef-962f-ec0a97b1ac1d",
+   "metadata": {},
+   "source": [
+    "Above, the double equal sign is the test for equality. The `format` function is useful to format strings by inserting variables in place holders (curvy brackets).\n",
+    "\n",
+    "Finally, we can define a function that takes an \"argument\" as input to produce an output or result. The keyword here is `def` and the body of the function (code to be executed) is indented:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4cb7d440-6970-4cf0-82d5-bec3427b06a5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def double(x):\n",
+    "    return x+x\n",
+    "\n",
+    "print(double(a))\n",
+    "print(double(b))\n",
+    "print(double(c))\n",
+    "print(double(d))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "315bce1c-1268-4e54-879a-ff956f9bd7ff",
+   "metadata": {},
+   "source": [
+    "CAREFUL with functions: variables not defined inside have to be defined at the time of execution:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5c70e711-cb30-4517-bd1a-3535059f05e1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def shift(x):\n",
+    "    return x + e"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8b16423e-cbe2-4aa6-8e46-6e65cbb9bd66",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(shift(a))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "16a4b173-5bac-411d-86a1-0e2129c10ba8",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "e = -3\n",
+    "\n",
+    "print(shift(a))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9ae0e02a-c9b3-49aa-ac7f-579bf332f459",
+   "metadata": {},
+   "source": [
+    "## Numpy Library\n",
+    "\n",
+    "To use functions in a library, we import it and call its member functions as follows. Here we create an \"alias\" or short name for numpy because it is shorter to write."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e595a780-410b-41c6-90fc-0b85bee25c76",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "x = np.array([0, 2, 8, -3])\n",
+    "\n",
+    "print(x)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7018fb84-2c5d-46cf-b466-d066f5ed7451",
+   "metadata": {},
+   "source": [
+    " All items must be of the same type."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "37e20460-30c4-455a-9c0a-fe53149a0be0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "type(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d0b1514-ba52-4ab6-8b5b-1c02af21bff9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "x.dtype"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e9d0ee7d-46af-4c1d-be0b-fad654d5f1da",
+   "metadata": {},
+   "source": [
+    "The advantage of arrays over list is that mathematical operations can be used on them (they have been made for that...)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1b8c908e-f154-4496-b001-14f068309c3f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "y = np.array([10, 4, 6, 3])\n",
+    "\n",
+    "print(x + y)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "26e9a780-4d89-4202-a218-0df183e6d888",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(x * y)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9df6a48c-73ec-405f-8dbd-084c159f327a",
+   "metadata": {},
+   "source": [
+    "The operator `+` has a different behavior for arrays, lists and strings."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2f02d7c3-42f7-4475-a542-5cd7918f6866",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(x.tolist() + y.tolist())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a9448563-65e2-41ad-bcab-369d2a4a6e53",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print('EMN' + 'online')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3eb9dba8-f1ab-44b5-a6c4-a077a52cefc3",
+   "metadata": {},
+   "source": [
+    "Arrays can be constructed with arbitrary dimensions ('shape'), some operations require that they have matching shapes, see above or the scalar product below. Recall that the dot product above is the sum of the product of corresponding items:\n",
+    "$$ \\sum_i x_i y_i $$"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "252e69eb-9a86-42db-bd3e-0a2d02758cc3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(np.dot(x, y))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "390dad88-eafc-4757-a93b-05538c021c5f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(x.shape, y.shape)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "630dd115-7cd7-4f4a-867a-1454ef0693c9",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "z = np.array([2, 4])\n",
+    "\n",
+    "print(np.dot(x, z))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7cef99eb-c866-4090-8446-5575a1d7958a",
+   "metadata": {},
+   "source": [
+    "Numpy has a lot of operators (like `**` for power), constructors for arrays, functions for linear algebra (search for 'linalg' in the doc), like matrix operations."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0c81ad2b-9604-4165-8d51-be8954059fae",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print('square of 3 =', 3**2, '; 4 to the power of 1.5 =', 4**1.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fda360fb-2bcd-49ab-b93f-c5bbdd36a156",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# array with values determined by a step, like from 0.0 included to 2.0 excluded with step 0.4\n",
+    "print(np.arange(0.0, 2.0, 0.4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6b7b9fc-4b50-4dc0-a2b8-6bfc3c1afb26",
+   "metadata": {},
+   "source": [
+    "## Matplotlib Library\n",
+    "\n",
+    "This library has functions for visualization, like line plots, scatter plots, etc. \n",
+    "\n",
+    "Here arange (from Numpy) provides integers from 0 to 3=4-1, the indices of the arrays."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6fa7f0fe-2631-4ad0-ab71-6d1af30b8ef1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.plot(np.arange(4), x, label='x')\n",
+    "plt.plot(np.arange(4), y, label='y')\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "17f07d66-4a90-4c0e-9398-9d0c05861bfe",
+   "metadata": {},
+   "source": [
+    "We can add labels, change the ofnt size, etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "79c71418-13df-401a-bcc0-ebb1d5a466db",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# change the default font size to 16\n",
+    "import matplotlib as mpl\n",
+    "mpl.rcParams['font.size'] = 16\n",
+    "\n",
+    "plt.scatter(x, y, marker='s', color='green')\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('y')\n",
+    "plt.tight_layout() # to save space in the figure, avoid labels outside, etc."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cef54c43-0165-4d74-92e1-e51b405a8046",
+   "metadata": {},
+   "source": [
+    "The function plot can also display the markers without the line by using arguments (see the documentation https://matplotlib.org/stable/api/_as_gen/matplotlib.pyplot.plot.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fd829716-2f37-4844-822a-95a820515c4b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.plot(x, y, marker='s', color='green', ls='')\n",
+    "plt.xlabel('x')\n",
+    "plt.ylabel('y')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8146146f-0971-4f70-954c-f9457ce90f63",
+   "metadata": {},
+   "source": [
+    "Here the graduations are linear, which is appropriate to display a vector of values that are regurlarly distributed in a linear manner between. For example, the `numpy` function `linspace` generates a givne number of such values a minimum and a maximum (see https://numpy.org/doc/stable/reference/generated/numpy.linspace.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0941cad8-7916-4556-9b69-5ef813c6a5ff",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# generate 20 values between 0 and 10\n",
+    "lin_x = np.linspace(0,10,20)\n",
+    "print(lin_x)\n",
+    "\n",
+    "plt.plot(lin_x, lin_x, marker='x', color='gray', ls='')\n",
+    "plt.xlabel('linear scale')\n",
+    "plt.ylabel('linear scale')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1d871772-603b-4416-ab77-4f5da94642ec",
+   "metadata": {},
+   "source": [
+    "If we want to plot values that are distributed in a different scale, this may not be appropriate anymore..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e2ef077f-f64d-4823-8071-32ecb601ac78",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# generate 20 values between 0.01=10**(-2) and 100=10**2 distributed exponentially (linearly spaced on a log scale)\n",
+    "log_x = np.logspace(-2,2,20)\n",
+    "print(log_x)\n",
+    "\n",
+    "plt.plot(log_x, log_x, marker='o', color='gray', ls='')\n",
+    "plt.xlabel('linear scale')\n",
+    "plt.ylabel('linear scale')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ca813943-78af-4204-bd97-e5cc37a96569",
+   "metadata": {},
+   "source": [
+    "Most of the 20 dots are located around the origin. We can zoom to see some of them but there is still a larger concentration around the origin..."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "576789e3-5fcd-4074-99b9-068f3e710fec",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.plot(log_x, log_x, marker='o', color='gray', ls='')\n",
+    "plt.xlabel('linear scale')\n",
+    "plt.ylabel('linear scale')\n",
+    "plt.axis(xmin=0, xmax=5, ymin=0, ymax=5)\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9ed61675-c545-41f0-948b-c3e75dcb32c0",
+   "metadata": {},
+   "source": [
+    "To see the dots better, we can use a log plot that shows the points regularly distributed on the log scale."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "89dd5015-77da-4720-9f13-c130a05f7bc7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.loglog(log_x, log_x, marker='o', color='gray', ls='')\n",
+    "plt.xlabel('log scale')\n",
+    "plt.ylabel('log scale')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dda41aae-6c46-4b78-946f-6ebfbfedd2c0",
+   "metadata": {},
+   "source": [
+    "For futher examples of plotting options, see tutorials: https://matplotlib.org/stable/tutorials/index.html.\n",
+    "\n",
+    "Now considering a function $f(t)$ of a time variable $t$, we can plot the function to then see its profile, extrema (minima, maxima), etc."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1a3b810f-9e1b-4292-862c-7a5ebbac85ce",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# definition of the function\n",
+    "def f(t):\n",
+    "    # calculate the result\n",
+    "    res = t / (1 + t**2)\n",
+    "    # return the result\n",
+    "    return res"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "61913d0c-4d79-4207-8ac0-66877473205b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# definition of vector of time for x-axis: 20 points uniformaly spaced from -10.0 to 10.0\n",
+    "vt = np.linspace(-10.0, 10.0, 20)\n",
+    "\n",
+    "print(vt)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9ac07566-3009-424d-a847-313f09401735",
+   "metadata": {},
+   "source": [
+    "Instead of passing a single argument to the function, we can pass the vector $vt$ directly and the function output is the images of the corresponding arguments in $vt$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9b75b5ce-6919-4f77-bf75-09c3210753b7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(f(vt))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "293fac9a-25bc-4214-bc7f-b9ead2771368",
+   "metadata": {},
+   "source": [
+    "We can now plot $f(t)$ as a function of $t$ for each t in $vt$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cfc78baf-0503-4081-b12c-432d799602e4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.plot(vt, f(vt))\n",
+    "plt.xlabel('$t$')\n",
+    "plt.ylabel('function $f(t)$')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "afbd45b9-0410-4d4e-9f0f-9ea08582dfd9",
+   "metadata": {},
+   "source": [
+    "The function doesn't seem smooth, we don't have a sufficient resolution for the points in $vt$, let's use 100 points."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02addb8c-488e-433b-9bd8-6eda2c465ec4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "vt = np.linspace(-10.0, 10.0, 100)\n",
+    "\n",
+    "plt.plot(vt, f(vt))\n",
+    "plt.xlabel('$t$')\n",
+    "plt.ylabel('function $f(t)$')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3376050e-fbdc-4c68-adb7-e176b88fd694",
+   "metadata": {},
+   "source": [
+    "Finally, let's find the maximum of the plotted curve (in the range given by $vt$):"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "fad332b5-b94b-4432-869e-7e52142f145d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# index of largest element of f(vt)\n",
+    "i_t = np.argmax(f(vt))\n",
+    "\n",
+    "print(i_t)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "71b5a36d-86ce-47bf-ac8a-faaddac6c68e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "print(vt[i_t])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "09824ea6-af10-40fc-ac6f-56575a447e53",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.plot(vt, f(vt), label='curve')\n",
+    "plt.plot(vt[i_t], f(vt[i_t]), 'xr', ms=10, label='max') # xr stands for red cross, ms for marker size\n",
+    "plt.legend(fontsize=12) # to show labels associated with plotted elements\n",
+    "plt.xlabel('$t$')\n",
+    "plt.ylabel('function $f(t)$')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8183cccf-c848-4336-8117-c2d62295c526",
+   "metadata": {},
+   "source": [
+    "## Pandas and Seaborn Libraries\n",
+    "\n",
+    "Pandas is a library to store data in various formats in `DataFrame`, which can seen as an extension of arrays with more flexibility.\n",
+    "\n",
+    "Seaborn has plotting functions like Matplotlib that is conveniently interfaced with `DataFrame` objects."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2c2236dd-f3c0-499d-b8a1-a9416403637c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# import libraries\n",
+    "import pandas as pd\n",
+    "import seaborn as sb"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5b50b5a8-81bc-4895-b8d0-62a7665c85f0",
+   "metadata": {},
+   "source": [
+    "In a `DataFrame`, data are organized in \"columns\" that each have a title or label. Note that elements can be of various types. Check the documentation for further reference: [https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html](https://pandas.pydata.org/pandas-docs/stable/reference/api/pandas.DataFrame.html)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cf2e74a2-7ac5-4638-a827-b2104a29e12a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "df = pd.DataFrame(columns=['type', 'value'])\n",
+    "df['type'] = ['low', 'high']\n",
+    "df['value'] = [0.1, 10.4]\n",
+    "\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f4801e0e-8555-4446-8346-8d5138d0a294",
+   "metadata": {},
+   "source": [
+    "The integers at the beginning of each row is the index of the row. Elements from rows (all columns) can be accessed from the index with the function `iloc`. The columns can be retrieved using the corresponding label."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e17d07c1-57f6-4bed-b0ed-254e27f6922c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "df.iloc[1]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "385a4deb-8c67-4d40-8490-688cf61cc7e4",
+   "metadata": {},
+   "source": [
+    "Once defined, data frames of numerical values can be used directly with seaborn functions, simply specifying the columns used for the plotting. In other words, constructing the data frame correctly may take a bit of lines of code, but then the plotting is made easier. Check [https://seaborn.pydata.org/tutorial/introduction.html](https://seaborn.pydata.org/tutorial/introduction.html) for first steps."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c975ef4a-900f-42be-965b-02d943a6219d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# create a data frame with normally distributed numbers\n",
+    "df = pd.DataFrame(columns=['x', 'y'])\n",
+    "df['x'] = np.random.randn(20)\n",
+    "df['y'] = np.random.randn(20) * 2.0\n",
+    "\n",
+    "# scatter plot\n",
+    "sb.scatterplot(data=df, x='x', y='y')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13223b82-833f-4b0d-8cb2-89bedf7127e5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "df['type']"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "92094f00-844d-484f-a7bf-61dd0a855663",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# add a column 'time'\n",
+    "df['time'] = np.arange(20)\n",
+    "print(df)\n",
+    "\n",
+    "# \n",
+    "sb.lineplot(data=df, x='time', y='x', color='red', label='x')\n",
+    "sb.lineplot(data=df, x='time', y='y', color='blue', label='y')\n",
+    "plt.ylabel('value')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89592b21-e0e2-4a8b-a7ef-823ad6e21b3c",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Note that some warnings may be displayed concerning seaborn, they should be fixed in future versions. You can ignore them.\n",
+    "\n",
+    "To represent distributions, `violinplot` and `swarmplot` are useful tools to visualize them with details of the samples. Here we have several samples of three classes, denoted by integers in column 'type'."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c9109349-24a2-4753-a27f-4f485e7a0c9b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# create data frame with two columns, wifor each sample its 'type' and 'value'\n",
+    "df = pd.DataFrame(columns=['type', 'value'])\n",
+    "# types of the 30 samples\n",
+    "v_type = np.zeros([30], dtype=int)\n",
+    "v_type[10:20] = 1\n",
+    "v_type[20:30] = 2\n",
+    "df['type'] = v_type\n",
+    "# values\n",
+    "v_val = np.random.randn(30)\n",
+    "v_val[10:20] += 1.0 # add an offset for the samples of class 1\n",
+    "df['value'] = v_val\n",
+    "\n",
+    "print(df)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1af7728-0dab-4e9f-a6ac-20052b9af562",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "sb.violinplot(data=df, x='type', y='value')\n",
+    "sb.swarmplot(data=df, x='type', y='value', color='black', size=10)\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
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diff --git a/net_th/nb_network_analysis.ipynb b/net_th/nb_network_analysis.ipynb
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index 0000000000000000000000000000000000000000..9ac90c2c1cc4f343c8169fdab517644beae972e3
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+++ b/net_th/nb_network_analysis.ipynb
@@ -0,0 +1,721 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aeab529e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import networkx as nx\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
+    "\n",
+    "mpl.rcParams['font.size'] = 16"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d629ceb",
+   "metadata": {},
+   "source": [
+    "This tutorial explains basic properties of graphs using the Python library `networkx` (documentation: [https://networkx.org/documentation/stable/reference/index.html](https://networkx.org/documentation/stable/reference/index.html))."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76b80e90",
+   "metadata": {},
+   "source": [
+    "## Constructing and viewing a graph, checking basic properties\n",
+    "\n",
+    "Let's first consider an undirected graph."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6650f364",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# graph constructor\n",
+    "G = nx.tutte_graph()\n",
+    "# plot\n",
+    "nx.draw(G)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "beb1bc2f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pos = nx.spectral_layout(G)\n",
+    "nx.draw(G, pos=pos)\n",
+    "nx.draw_networkx_labels(G, pos=pos)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07fefae1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pos = nx.circular_layout(G)\n",
+    "nx.draw(G, pos=pos)\n",
+    "nx.draw_networkx_labels(G, pos=pos)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bedec24f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(G.nodes)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "02b79439",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(G.edges)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b03d715e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "n = len(G.nodes) # node number\n",
+    "m = len(G.edges) # edge number\n",
+    "print('graph with {} nodes and {} edges'.format(n,m))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e92b782f",
+   "metadata": {},
+   "source": [
+    "The degree of a node is the number of links from/to the node. The density is the ratio between the total number of edges and the maximum number corresponding to a complete graph (i.e. $n (n-1) / 2$ for $n$ nodes). Equivalently, density is the average degree across nodes divided by $n -1$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "55e8d615",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.imshow(nx.adjacency_matrix(G).todense())\n",
+    "plt.xticks(range(0,n,5))\n",
+    "plt.yticks(range(0,n,5))\n",
+    "plt.xlabel('node $j$')\n",
+    "plt.ylabel('node $i$')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ff19c04b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "j = 1\n",
+    "for i in nx.neighbors(G, j):\n",
+    "    print(f'node {i} is a neighbor of node {j}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b6a1686d",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "for i, d in nx.degree(G):\n",
+    "    print(f'node {i} has degree {d}')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bb050de4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hist_deg = nx.degree_histogram(G)\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.bar(range(len(hist_deg)), hist_deg)\n",
+    "plt.xticks(range(0,len(hist_deg),1))\n",
+    "plt.xlabel('degree')\n",
+    "plt.ylabel('node count')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "450c06c3",
+   "metadata": {},
+   "source": [
+    "The density is the average degree divided by the number of remaining nodes ($n - 1$)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "578a72c4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print('density:', nx.density(G))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "98caf9cd",
+   "metadata": {},
+   "source": [
+    "See documentation for the complete list of functions and algorithms applicable to a graph.\n",
+    "\n",
+    "Exercices:\n",
+    "- evaluate the clustering coefficient (`nx.average_clustering`) that corresponds to the number of triangles in the graph\n",
+    "- check other example small graphs (`nx.house_x_graph()`, `nx.frucht_graph()`, `nx.octahedral_graph()`), what is the common property shared by these graphs?\n",
+    "- check the degree distribution for a random graph (`G = nx.gnm_random_graph(n, m)` with e.g. $n = 20$ nodes and $m = 50$ edges); by the way, what is a random graph?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dd3f6c02",
+   "metadata": {},
+   "source": [
+    "## Centrality\n",
+    "\n",
+    "This concept corresponds to a measure of importance of nodes in the graph. The intuition behind is that removing a node with high centrality would be very detrimental. For example, in a network where information propagates, removing such a node would cut a main route of information.\n",
+    "\n",
+    "Many flavors of centrality have been defined: \n",
+    "- *degree centrality* = the ratio between the number of neighbors (degree) divided by the number of possible nodes to connect ($n-1$)\n",
+    "- *eigenvector centrality* = coming from teh spectral analysis of the adjacency matrix\n",
+    "- *betweenness centrality* = the number of shortest paths that pass through the node"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5f1eb545",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [],
+   "source": [
+    "dict_dc = nx.degree_centrality(G)\n",
+    "dict_ec = nx.eigenvector_centrality(G)\n",
+    "dict_bc = nx.betweenness_centrality(G)\n",
+    "print(f'\\t \\t degree centrality, \\t eigenvect centrality,\\t betweenness centrality')\n",
+    "for i in range(len(dict_dc)):\n",
+    "    print(f'node {i}: \\t \\t {dict_dc[i]:.2f}, \\t \\t \\t {dict_ec[i]:.2f}, \\t \\t \\t {dict_bc[i]:.2f}, ')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ccfc11d2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "bins = np.linspace(0.0,1.0,40)\n",
+    "plt.figure()\n",
+    "plt.hist(dict_dc.values(), bins=bins, histtype='step', label='deg')\n",
+    "plt.hist(dict_ec.values(), bins=bins, histtype='step', label='eig')\n",
+    "plt.hist(dict_bc.values(), bins=bins, histtype='step', label='bet')\n",
+    "plt.xlabel('centrality value')\n",
+    "plt.ylabel('node count')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "18eab0fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.scatter(dict_dc.values(), dict_ec.values())\n",
+    "plt.xlabel('degree centrality')\n",
+    "plt.ylabel('eigenvector centrality')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "77851158",
+   "metadata": {},
+   "source": [
+    "Exercices:\n",
+    "- evaluate the clustering coefficient (nx.average_clustering)\n",
+    "- check other example small graphs (`nx.house_x_graph()`, `nx.frucht_graph()`, `nx.octahedral_graph()`), what is the common property in those graphs?\n",
+    "- check a random graph (`G = nx.gnm_random_graph(n, m)` with e.g. $n = 20$ nodes and $m = 50$ edges)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bb59cd36",
+   "metadata": {},
+   "source": [
+    "## Communities\n",
+    "\n",
+    "Communities are groups of nodes that are densely connected. A popular algorithm is based on the measure of modularity, which defines how much a link is above chance level in a graph. It is calculated from the degrees $d_i$ of the nodes, saying that the probability of having a random connection between $i$ and $j$ is $d_i d_j / m$, the denominator $m$ (equal to the total number of edges in the network) coming from normalization purpose.\n",
+    "\n",
+    "To test this property, we use a modular graph model (`nx.stochastic_block_model`) where groups of nodes have distinct probability of connection within and between groups, resulting in a block diagonal adjacency matrix."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d684084",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "n_blocks = 3\n",
+    "n_node_per_pblock = 10\n",
+    "n = n_blocks * n_node_per_pblock\n",
+    "\n",
+    "list_block_size = [n_node_per_pblock]*n_blocks\n",
+    "\n",
+    "# probability of connection within block\n",
+    "p1 = 0.6\n",
+    "# probability of connection between blocks\n",
+    "p0 = 0.2\n",
+    "\n",
+    "list_list_proba_conn = [[p1, p0, p0],\n",
+    "                        [p0, p1, p0],\n",
+    "                        [p0, p0, p1]]\n",
+    "\n",
+    "G = nx.stochastic_block_model(list_block_size, list_list_proba_conn)\n",
+    "\n",
+    "nx.draw(G)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ddd5e06a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pos = nx.spectral_layout(G)\n",
+    "nx.draw(G, pos=pos)\n",
+    "nx.draw_networkx_labels(G, pos=pos)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f25fc9fe",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.imshow(nx.adjacency_matrix(G).todense())\n",
+    "plt.xticks(range(0,n,5))\n",
+    "plt.yticks(range(0,n,5))\n",
+    "plt.colorbar()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d8d5b52",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.imshow(nx.linalg.modularity_matrix(G), vmin=-1, vmax=1)\n",
+    "plt.colorbar()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "315b7cdb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "list_com = nx.community.greedy_modularity_communities(G)\n",
+    "for i, com in enumerate(list_com):\n",
+    "    print(f'{i}-th community:', sorted(com))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "88d6f5c3",
+   "metadata": {},
+   "source": [
+    "Exercices:\n",
+    "- check modularity and community detection on a random graph, what do we obtain?\n",
+    "- how to check the quality of community detection? check `nx.community.modularity`"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ab8413f",
+   "metadata": {},
+   "source": [
+    "## Hubs, core and scale-free graph\n",
+    "\n",
+    "Hubs are nodes with high degree in a network. Cores are subgraphs where all nodes have a minimum degree ($k$-core for degree $k$), the main core being the $k$-core with highest order $k$.\n",
+    "\n",
+    "To test this property, we use a scale-free model (`nx.scale_free_graph`) where nodes with low indices have more probability of having connections than others."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a8d09691",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "n = 100 # node number\n",
+    "G = nx.scale_free_graph(n, alpha=0.3, beta=0.3, gamma=0.4)\n",
+    "# symmetrizing and cleaning to remove redundant connections and self-connections\n",
+    "G = nx.to_undirected(G)\n",
+    "A = nx.adjacency_matrix(G).todense()\n",
+    "A = np.clip(A,0,1)\n",
+    "A[np.eye(n, dtype=bool)] = 0\n",
+    "G = nx.Graph(A)\n",
+    "\n",
+    "pos = nx.circular_layout(G)\n",
+    "nx.draw(G, pos=pos)\n",
+    "nx.draw_networkx_labels(G, pos=pos)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7f19c191",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pos = nx.kamada_kawai_layout(G)\n",
+    "nx.draw(G, pos=pos)\n",
+    "nx.draw_networkx_labels(G, pos=pos)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "899ec699",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.imshow(A, interpolation='nearest')\n",
+    "plt.xticks(range(0,n,10))\n",
+    "plt.yticks(range(0,n,10))\n",
+    "plt.colorbar()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3aed8e6c",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hist_deg = nx.degree_histogram(G)\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.bar(range(len(hist_deg)), hist_deg)\n",
+    "plt.xticks(range(0,len(hist_deg),5))\n",
+    "plt.xlabel('degree')\n",
+    "plt.ylabel('node count')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "54876136",
+   "metadata": {},
+   "source": [
+    "We now plot the main core (nodes with highest degrees) in red, among other nodes in blue."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dec0b508",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "pos = nx.kamada_kawai_layout(G)\n",
+    "nx.draw(G, pos=pos)\n",
+    "nx.draw_networkx_labels(G, pos=pos)\n",
+    "\n",
+    "G_core = nx.k_core(G)\n",
+    "nx.draw(G_core, pos=pos, node_color='red')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e1a3d44a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "print(G_core.nodes)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a1607fcd",
+   "metadata": {},
+   "source": [
+    "Exercices:\n",
+    "- calculate the centrality for the scale-free graph; what do we see for the hubs?\n",
+    "- check the core for a random graph, how to interepret what we obtain?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a11802c1",
+   "metadata": {},
+   "source": [
+    "## Small-world graphs\n",
+    "\n",
+    "Small-worldness refers to the property of each node being connected to any other node with a few links. In other words, the shortest path between any pair of nodes is always smaller than a bound\n",
+    "\n",
+    "To test this property, we use a scale-free model (`nx.watts_strogatz_graph`) where nodes with low indices have more probability of having connections than others.\n",
+    "\n",
+    "In the original ring lattice (without rewiring), nodes are connected to the 4th neighbors (2 on each side), so nodes at opposing sides of the ring are separated by about 50 indices, meaning "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9924ddf0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "n = 100 # node number\n",
+    "k = 4 # neighbor number (for initial lattice connection)\n",
+    "p = 0. # rewiring probability\n",
+    "\n",
+    "G = nx.watts_strogatz_graph(n, k, p)\n",
+    "\n",
+    "pos = nx.circular_layout(G)\n",
+    "nx.draw(G, pos=pos)\n",
+    "nx.draw_networkx_labels(G, pos=pos)\n",
+    "plt.savefig('fig_graphs/ex_small_world_graph_init.png')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d1bfacba",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.imshow(nx.adjacency_matrix(G).todense(), interpolation='nearest')\n",
+    "plt.xticks(range(0,n,10))\n",
+    "plt.yticks(range(0,n,10))\n",
+    "plt.colorbar()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a19b9bd7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "G_orig = nx.watts_strogatz_graph(n, k, 0.0) # without rewiring\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.imshow(nx.adjacency_matrix(G_orig).todense(), interpolation='nearest')\n",
+    "plt.xticks(range(0,n,10))\n",
+    "plt.yticks(range(0,n,10))\n",
+    "plt.colorbar()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ea18bf95",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "spl_orig = []\n",
+    "for l in nx.all_pairs_shortest_path_length(G_orig):\n",
+    "    spl_orig = np.append(spl_orig, np.fromiter(l[1].values(), dtype=int))\n",
+    "\n",
+    "spl = []\n",
+    "for l in nx.all_pairs_shortest_path_length(G):\n",
+    "    spl = np.append(spl, np.fromiter(l[1].values(), dtype=int))\n",
+    "\n",
+    "#bins = np.linspace(0.0,1.0,40)\n",
+    "plt.figure()\n",
+    "plt.hist(spl_orig, histtype='step', label='orig')\n",
+    "plt.hist(spl, histtype='step', label='small-world')\n",
+    "plt.legend()\n",
+    "plt.xlabel('shortest path length')\n",
+    "plt.ylabel('connection count')\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e7620c1b",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "dict_dc = nx.degree_centrality(G)\n",
+    "dict_bc = nx.betweenness_centrality(G)\n",
+    "\n",
+    "bins = np.linspace(0.0,1.0,40)\n",
+    "plt.figure()\n",
+    "plt.hist(dict_dc.values(), bins=bins, histtype='step', label='deg')\n",
+    "plt.hist(dict_bc.values(), bins=bins, histtype='step', label='bet')\n",
+    "plt.legend()\n",
+    "plt.tight_layout()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4be56eeb",
+   "metadata": {},
+   "source": [
+    "Exercices:\n",
+    "- check the distribution of shortest path length for a random graph (with same number of edges), how to interepret what we obtain?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3b8308c8-b88c-449d-84e9-41f044cbcd99",
+   "metadata": {},
+   "source": [
+    "# Analyze real data\n",
+    "\n",
+    "After loading structural and functional connectomes (SC and FC, resp.):\n",
+    "- check the degree distribution to identify hubs, identify communities, etc.\n",
+    "- compare important nodes and communities evaluated from SC versus FC"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "114d18a6-4f11-40b2-9731-e4e371ab2503",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# example data from the Human Connectome Project (HCP) used later with the Virtual Brain (see also exam)\n",
+    "SC = np.load('ex_SC_HCP.npy')\n",
+    "region_labels = np.load('region_labels.npy')\n",
+    "\n",
+    "print(SC.shape)\n",
+    "print(region_labels)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "83e1d84e-df55-476f-b599-6fd13a750072",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# constructing a graph from the adjacency matrix as a numpy array\n",
+    "G = nx.from_numpy_array(SC)\n",
+    "list_com = nx.community.greedy_modularity_communities(G)\n",
+    "for i, com in enumerate(list_com):\n",
+    "    print(f'{i}-th community:', [region_labels[j] for j in com])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e88b6d70-fecb-4f69-a296-feca83555c10",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# another example data from HCP with both structural and functional connectomes\n",
+    "SC = np.load('ex_SC.npy')\n",
+    "FC = np.load('ex_FC.npy')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3b7a1240-84ea-41da-8776-d0d057f0c261",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.imshow(SC)\n",
+    "plt.title('example SC')\n",
+    "plt.colorbar()\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.imshow(FC)\n",
+    "plt.title('example FC')\n",
+    "plt.colorbar()\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/nrn_dyn/nb_neuronal_dynamics1.ipynb b/nrn_dyn/nb_neuronal_dynamics1.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..32bb85da656846a41fb0f94f07ef15dd87757808
--- /dev/null
+++ b/nrn_dyn/nb_neuronal_dynamics1.ipynb
@@ -0,0 +1,631 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aeab529e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "import scipy.integrate as spi\n",
+    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import matplotlib as mpl\n",
+    "\n",
+    "mpl.rcParams['font.size'] = 16"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6d629ceb",
+   "metadata": {},
+   "source": [
+    "This tutorial simulate two neuron models, the integrate-and-fire and Fitzhugh-Nagumo neurons. Here we use the libraries `numpy` and  `scipy`, which are the basis of numerical calculations in Python."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "76b80e90",
+   "metadata": {},
+   "source": [
+    "## Simulating a dynamical system\n",
+    "\n",
+    "Let's first consider the subthreshold dynamics of the leaky integrate-and-fire neuron (LIF), in its normalized form except for a shift by $V_{rest}$.\n",
+    "$$  \\frac{{\\mathrm {d}} v}{{\\mathrm {d} }t} = V_{rest} -v + i $$\n",
+    "Everytime the potential $v$ passes the threshold $V_{th}$, a spike is fired and the potential is reset to the rest potential $V_{rest}$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6d22e163-18d7-4d7b-ab6a-0e09dc0c83e2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# input\n",
+    "i = 1.2\n",
+    "\n",
+    "# simulation time step and range\n",
+    "dt = 0.1\n",
+    "vT = np.arange(0.0, 10.0, dt)\n",
+    "\n",
+    "# rest potaential and threshold\n",
+    "V_rest = -1.0\n",
+    "V_th = 0.0\n",
+    "\n",
+    "# initial value (rest potential)\n",
+    "v = V_rest\n",
+    "\n",
+    "# record time stamps, trace for potential and spike times\n",
+    "t_spk = []\n",
+    "t_trace = []\n",
+    "v_trace = []\n",
+    "\n",
+    "# iterate over time to \n",
+    "for t in vT:\n",
+    "    # test if threshold passed\n",
+    "    if v>=V_th:\n",
+    "        v = V_rest\n",
+    "        t_spk = np.append(t_spk, [t])\n",
+    "    # update v\n",
+    "    v += dt * (-v + i + V_rest)\n",
+    "    # append values for traces\n",
+    "    t_trace = np.append(t_trace, t)\n",
+    "    v_trace = np.append(v_trace, v)\n",
+    "    \n",
+    "print('spike times:', t_spk)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "96903e55-861d-4b60-829a-af7b1829405f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "n_spk = len(t_spk) # for plot\n",
+    "\n",
+    "# plot trace\n",
+    "plt.figure()\n",
+    "plt.plot(t_trace, v_trace)\n",
+    "plt.scatter(t_spk, [0.1]*n_spk, marker='|', s=300, color='r')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential')\n",
+    "plt.axis(ymax=0.2)\n",
+    "plt.yticks([-1,0])\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "36852d48-1ffb-4169-bdf4-25d499cd11f0",
+   "metadata": {},
+   "source": [
+    "## Numerical simulation using `scipy.integrate`\n",
+    "\n",
+    "We can also use the integration methods from `scipy` to do the job. To do so, we just need to define the function that gives the derivative at all times:\n",
+    "xthe numerical integrator is calculating the solution function that satisfies at all times\n",
+    "$$ \\dot{v} = f(t, v) $$\n",
+    "for any given $f$. So we just have to code the function $f$ for the LIF neuron, here in its normalized version."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8e70d655-550a-4485-b100-afa72b0cccad",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# function to calculate the derivatives\n",
+    "def lif(t, v):\n",
+    "    '''\n",
+    "    arguments:\n",
+    "        t: time (scalar)\n",
+    "        v: state = potential (scalar)\n",
+    "    return:\n",
+    "        dv: time derivative for ordinary differential equation\n",
+    "    '''\n",
+    "    return -v + i - 1.0\n",
+    "\n",
+    "# simulation time range\n",
+    "Ts = [0.0, 10.0]\n",
+    "\n",
+    "# solve the ODE with initial condition v=0.0 at time 0.0\n",
+    "ode_res = spi.solve_ivp(lif, Ts, [-1.0], method='RK23')\n",
+    "\n",
+    "# plot trace\n",
+    "plt.figure()\n",
+    "plt.plot(ode_res.t, ode_res.y.T)\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential')\n",
+    "plt.axis(ymax=0.2)\n",
+    "plt.yticks([-1,0])\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('lif_no_spike')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "abee9003-7fa7-4240-be78-47803cb21e16",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# increazse input strength\n",
+    "i = 1.2\n",
+    "\n",
+    "# solve again\n",
+    "ode_res = spi.solve_ivp(lif, Ts, [-1.0], method='RK23')\n",
+    "\n",
+    "# plot trace\n",
+    "plt.figure()\n",
+    "plt.plot(ode_res.t, ode_res.y.T)\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential')\n",
+    "plt.axis(ymax=0.2)\n",
+    "plt.yticks([-1,0])\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c23d5abf-094f-41f2-8d27-f6020868c781",
+   "metadata": {},
+   "source": [
+    "We need to implement the threshold."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3789ca0d-4f03-4fd3-9b17-5b6d3006627c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# detect events when the potential crosses the threshold 0.\n",
+    "def fire(t, v):\n",
+    "    return v[0]\n",
+    "\n",
+    "fire.direction = 1\n",
+    "fire.terminal = True # stop the integration / simulation (to reset the potential)\n",
+    "\n",
+    "# solve again with event detection\n",
+    "ode_res = spi.solve_ivp(lif, Ts, [-1.0], method='RK23', events=fire)\n",
+    "\n",
+    "t_spk = ode_res.t_events\n",
+    "n_spk = len(t_spk)\n",
+    "\n",
+    "# plot trace\n",
+    "plt.figure()\n",
+    "plt.plot(ode_res.t, ode_res.y.T)\n",
+    "plt.scatter(t_spk, [0.1]*n_spk, marker='|', s=100, color='r')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential')\n",
+    "plt.axis(ymax=0.2)\n",
+    "plt.yticks([-1,0])\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4ab8990d-7100-4f75-aa54-0d5920404daa",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# start and stop time of simulation\n",
+    "T0 = Ts[0]\n",
+    "T1 = Ts[1]\n",
+    "\n",
+    "# list of recorded spikes\n",
+    "t_trace = []\n",
+    "v_trace = []        \n",
+    "t_spk = []\n",
+    "\n",
+    "while T0<T1:\n",
+    "    # solve sequentially with event detection (spike fired) and reset of the potential\n",
+    "    ode_res = spi.solve_ivp(lif, [T0,T1], [-1.0], method='RK23', events=fire)\n",
+    "    # check if stopped before T1\n",
+    "    if len(ode_res.t_events[0])>0:\n",
+    "        # reset start of simulated time\n",
+    "        T0 = ode_res.t_events[0]\n",
+    "        # add time to spike list, as well as traces\n",
+    "        t_spk = np.append(t_spk, T0)\n",
+    "    else:\n",
+    "        T0 = T1\n",
+    "    t_trace = np.append(t_trace, ode_res.t)\n",
+    "    v_trace = np.append(v_trace, ode_res.y.T)\n",
+    "            \n",
+    "n_spk = len(t_spk) # for plot\n",
+    "print('spike times:', t_spk)\n",
+    "\n",
+    "# plot trace\n",
+    "plt.figure()\n",
+    "plt.plot(t_trace, v_trace)\n",
+    "plt.scatter(t_spk, [0.1]*n_spk, marker='|', s=100, color='r')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential')\n",
+    "plt.axis(ymax=0.2)\n",
+    "plt.yticks([-1,0])\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('lif_echelon')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "972cd572-8528-4ac8-8968-c3263712c4d4",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Fitzhugh-Nagumo model\n",
+    "\n",
+    "Now we examine in more detail the dynamics of the Nagumo model defined by\n",
+    "$$ {\\dot{v}} = v − \\frac{v^3}{3} - w + i $$\n",
+    "and\n",
+    "$$ {\\dot{w}} = 0.08 (v + 0.7 − 0.8 w ) $$\n",
+    "Here there is no threshold, the non-linearities create a limit cycle that mimic the spike waveform for the potential $c$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "54aab756-bc3b-4ff8-a94f-a46dd02d1fd3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def fn(t, x):\n",
+    "    '''\n",
+    "    arguments:\n",
+    "        t: time (scalar)\n",
+    "        x: state = potential, adaptation (ndarray)\n",
+    "    return:\n",
+    "        dx: time derivative for ordinary differential equation\n",
+    "    '''\n",
+    "    # get variables for current state\n",
+    "    v, w = x\n",
+    "    # calculate the derivatives\n",
+    "    dv = v - v**3 / 3.0 - w + I\n",
+    "    dw = 0.08 * (v + 0.7 - 0.8 * w)\n",
+    "    return dv, dw"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "63ad126c-a25b-4adb-a683-50fc0e67d53a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "Ts = [0.0, 100.0]\n",
+    "I = 0.5 # try 0.5, 0.1\n",
+    "\n",
+    "# solve again with event detection\n",
+    "ode_res = spi.solve_ivp(fn, Ts, [0.1, 0.6], method='RK45')\n",
+    "\n",
+    "# retrieve the results (simulated traces)\n",
+    "t_trace = ode_res.t\n",
+    "v_trace = ode_res.y[0,:].T\n",
+    "w_trace = ode_res.y[1,:].T\n",
+    "\n",
+    "# plot traces\n",
+    "plt.figure()\n",
+    "plt.plot(ode_res.t, ode_res.y.T, label=['v', 'w'])\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential / adaptation')\n",
+    "plt.yticks(range(-2,3))\n",
+    "plt.legend()\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('fn_echelon')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8b4fb95d-96c3-46c1-9832-c4305d1cd84d",
+   "metadata": {},
+   "source": [
+    "We see a cyclic behavior, but the phase plane ($v$, $w$) provides a graphical information."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aa28612e-6950-4a10-81b8-3f25da892a97",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# plot phase plane and gradient\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.plot(v_trace, w_trace, c='k')\n",
+    "plt.xlabel('potential')\n",
+    "plt.ylabel('adaptation')\n",
+    "plt.axis(ymax=2.2)\n",
+    "#plt.yticks(range(-2,3))\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('fn_phase')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a01f43ed-6a6d-4c02-abaf-c967b9375e22",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# plot phase plane with gradients and nullclines\n",
+    "\n",
+    "# mesh for gradients\n",
+    "xmin = -2.0\n",
+    "xmax = 2.0\n",
+    "ymin = -1.0\n",
+    "ymax = 2.0\n",
+    "n_aff = 20\n",
+    "\n",
+    "x = np.linspace(xmin, xmax, n_aff)\n",
+    "y = np.linspace(ymin, ymax, n_aff)\n",
+    "\n",
+    "X1 , Y1  = np.meshgrid(x, y)                       # create a grid\n",
+    "DX1, DY1 = fn(0.0, [X1, Y1])                      # compute growth rate on the gridt\n",
+    "M = (np.hypot(DX1, DY1))                           # Norm of the growth rate \n",
+    "M[ M == 0] = 1.                                 # Avoid zero division errors \n",
+    "DX1 /= M                                        # Normalize each arrows\n",
+    "DY1 /= M\n",
+    "\n",
+    "# nullclines\n",
+    "vw1 = x - x**3 / 3.0 + I\n",
+    "vw2 = (x + 0.7) / 0.8\n",
+    "\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.quiver(X1, Y1, DX1, DY1, M, pivot='mid', cmap='jet')\n",
+    "plt.plot(x, vw1, c='k', ls='--', lw=2)\n",
+    "plt.plot(x, vw2, c='k', ls='-.', lw=2)\n",
+    "plt.xlabel('potential')\n",
+    "plt.ylabel('adaptation')\n",
+    "plt.axis(ymax=2.2)\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('fn_phase')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8fa0a659-691b-4653-8e55-fb17aed9efe4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "f3 = plt.figure()\n",
+    "CS = plt.contourf(X1, Y1, M, cmap='Purples_r', alpha=0.5)\n",
+    "CS2 = plt.contour(X1, Y1, M, colors='black', linewidths=2. )\n",
+    "plt.clabel(CS2, inline=1, fontsize=16, fmt='%.f')\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "dba69a54-4380-4c8b-92f6-3d5038055d85",
+   "metadata": {},
+   "source": [
+    "From http://www.scholarpedia.org/article/FitzHugh-Nagumo_model, check some properties of the response of the FH neuron model by implementing them, like spike accommodation when the input current increases."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1fa6689c-b777-475a-8832-3c402a32d2bf",
+   "metadata": {},
+   "source": [
+    "## Hodgkin-Huxley model\n",
+    "\n",
+    "Now consider the Hodgkin-Huxley equation\n",
+    "$$  C_{m} \\frac{{\\mathrm {d}}V}{{\\mathrm {d} }t} = g_{K}(V-E_{K})+g_{Na}(V-E_{Na})+g_{l}(V-E_{l}) + I_\\mathrm{syn} $$\n",
+    "with\n",
+    "$$ \\tau_n \\dot{n} = n^\\infty(V) - n$$\n",
+    "and so on for other variables.\n",
+    "\n",
+    "You can get inspiration from https://hodgkin-huxley-tutorial.readthedocs.io/en/latest/_toc/Hodgkin%20Huxley.html to recode it here."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dca44a31-276e-4246-a305-f91d431a73b0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def hh(t, x):\n",
+    "    '''\n",
+    "    arguments:\n",
+    "        t: time (scalar)\n",
+    "        x: state (ndarray)\n",
+    "    return:\n",
+    "        y: time derivatives for ordinary differential equation\n",
+    "    '''\n",
+    "    # get variables for current state\n",
+    "    v, n, m, h = x\n",
+    "    # \n",
+    "    dv = ...\n",
+    "    dn = ...\n",
+    "    dm = ...\n",
+    "    dh = ...\n",
+    "    # \n",
+    "    return dv, dn, dm, dh\n",
+    "    \n",
+    "# solve again with event detection\n",
+    "ode_res = spi.solve_ivp(hh, Ts, [V_rest, 0.0, 0.0, 0.0], method='RK23')\n",
+    "\n",
+    "# plot trace\n",
+    "plt.figure()\n",
+    "plt.plot(ode_res.t, ode_res.y.T)\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential')\n",
+    "plt.axis(ymax=0.2)\n",
+    "plt.yticks([-1,0])\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7233bc8-9001-4aeb-8f8f-8711c1306b61",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Adaptative-Exponential model\n",
+    "\n",
+    "Now we examine in more detail the dynamics of the AdEx neuron defined by\n",
+    "$$ C {\\dot{V}} = − g_L ( V − E_L) + g_L \\Delta T e^{(V−V_T)/\\Delta T)} − w + I $$\n",
+    "and\n",
+    "$$ \\tau_w {\\dot{w}} = a (V−E_L) − w $$\n",
+    "You can get values for parameters in Crlu et al. (see around Eqs 4-5): https://inria.hal.science/hal-02414751; see also http://www.scholarpedia.org/article/Adaptive_exponential_integrate-and-fire_model for references.\n",
+    "\n",
+    "Note that The AdEx neuron requires a threshold like the LIF neuron, with resee of the potential after spiking."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c698672a-866b-493f-8d84-bf33c8b03c78",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# constants\n",
+    "C = ...\n",
+    "g_L = ...\n",
+    "E_L = ...\n",
+    "V_T = ...\n",
+    "...\n",
+    "\n",
+    "\n",
+    "def adex(t, x):\n",
+    "    '''\n",
+    "    arguments:\n",
+    "        t: time (scalar)\n",
+    "        v: state = potential, adaptation (scalar)\n",
+    "    return:\n",
+    "        dv: time derivative for ordinary differential equation\n",
+    "    '''\n",
+    "    # \n",
+    "    # get variables for current state\n",
+    "    v, w = x\n",
+    "    # calculate the derivatives\n",
+    "    dv = - g_L * (v - E_L) + g_L * dT * np.exp((v-V_T)/dt) - w + I\n",
+    "    dw = a / tau_w * (v - E_L) - w\n",
+    "    return dv, dw"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc93d137-2b93-4200-9aee-22b371107618",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "def fire(t, v):\n",
+    "    return v[0]\n",
+    "\n",
+    "fire.direction = 1\n",
+    "fire.terminal = True\n",
+    "\n",
+    "# start and stop time of simulation\n",
+    "T0 = Ts[0]\n",
+    "T1 = Ts[1]\n",
+    "\n",
+    "# list of recorded spikes\n",
+    "t_trace = []\n",
+    "v_trace = []        \n",
+    "w_trace = []        \n",
+    "t_spk = []\n",
+    "\n",
+    "while T0<T1:\n",
+    "    # solve again with event detection\n",
+    "    ode_res = spi.solve_ivp(adex, [T0,T1], [E_L, 0.0], method='RK45', events=fire)\n",
+    "    # check if stopped before T1\n",
+    "    if len(ode_res.t_events[0])>0:\n",
+    "        # reset start of simulated time\n",
+    "        T0 = ode_res.t_events[0]\n",
+    "        # add time to spike list, as well as traces\n",
+    "        t_spk = np.append(t_spk, T0)\n",
+    "    else:\n",
+    "        T0 = T1\n",
+    "    t_trace = np.append(t_trace, ode_res.t)\n",
+    "    v_trace = np.append(v_trace, ode_res.y[0,:].T)\n",
+    "    w_trace = np.append(w_trace, ode_res.y[1,:].T)\n",
+    "            \n",
+    "n_spk = len(t_spk) # for plot\n",
+    "print('spike times:', t_spk)\n",
+    "\n",
+    "# plot trace\n",
+    "plt.figure()\n",
+    "plt.plot(t_trace, v_trace)\n",
+    "plt.scatter(t_spk, [0.1]*n_spk, marker='|', s=100, color='r')\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('potential')\n",
+    "plt.axis(ymax=0.2)\n",
+    "plt.yticks([-1,0])\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('lif_echelon')\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/sup_lrn/nb_suplearn1_cross-validation.ipynb b/sup_lrn/nb_suplearn1_cross-validation.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..3db6fe7cb354ad5213ae8a3614a739671ae0415b
--- /dev/null
+++ b/sup_lrn/nb_suplearn1_cross-validation.ipynb
@@ -0,0 +1,918 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "25dfd6d1",
+   "metadata": {},
+   "source": [
+    "# 1) Cross-validation\n",
+    "\n",
+    "author: Mat Gilson, https://github.com/MatthieuGilson\n",
+    "\n",
+    "This notebook shows a key concept at the core of all machine learning procedures. It aims to quantify the generalizability of a trained classifier to unseen data. Here we also see how to get a baseline reference in terms of accuracy. \n",
+    "\n",
+    "See also the documentation of scikit-learn library (https://scikit-learn.org/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "707a0699",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# import librairies\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.model_selection import ShuffleSplit, StratifiedShuffleSplit, LeaveOneOut\n",
+    "\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "from sklearn.metrics import confusion_matrix\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "%matplotlib inline\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "219520bc",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# create synthetic dataset where 2 classes of s0+s1 samples of m-dimensional inputs with controlled contrast\n",
+    "def gen_inputs(m,        # input dimensionality\n",
+    "               s0,       # number of samples for class 0\n",
+    "               s1,       # number of samples for class 1\n",
+    "               scaling): # scaling factor to separate classes\n",
+    "\n",
+    "    # labels\n",
+    "    lbl = np.zeros([s0+s1], dtype=int)\n",
+    "    # inputs\n",
+    "    X = np.zeros([s0+s1,m])\n",
+    "\n",
+    "    # create s0 and s1 samples for the 2 classes\n",
+    "    for i in range(s0+s1):\n",
+    "        # label\n",
+    "        lbl[i] = int(i<s0)\n",
+    "        # inputs are random noise plus a shift\n",
+    "        for j in range(m):\n",
+    "            # positive/negative shift for 1st/2nd class, only for indices j larger than m/2\n",
+    "            if j>=m/2:\n",
+    "                if i<s0:\n",
+    "                    a = -scaling\n",
+    "                else:\n",
+    "                    a = scaling\n",
+    "            else:\n",
+    "                a = 0.0\n",
+    "            # the shift linearly depends on the feature index j\n",
+    "            X[i,j] = a + np.random.randn()\n",
+    "            \n",
+    "    return X, lbl"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "506698d5",
+   "metadata": {},
+   "source": [
+    "Let's have a first look at the data. For features with indices smaller than $m/2$, there is no contrast between the two classes (in red and blue). For indices larger than $m/2$, the contrast is determined by the scaling parameters (separation between the two disributions). Each feature involve independent noise in teh generation of the samples."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1bc5284f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# input properties\n",
+    "m = 10 # input dimensionality\n",
+    "s0 = 100 # number of samples for class 0\n",
+    "s1 = 100 # number of samples for class 1\n",
+    "scaling = 0.7 # class contrast\n",
+    "\n",
+    "# generate inputs\n",
+    "X, y = gen_inputs(m, s0, s1, scaling)\n",
+    "\n",
+    "# bins for istograms\n",
+    "vbins = np.linspace(-3,3,30)\n",
+    "\n",
+    "# plot\n",
+    "plt.figure(figsize=[6,7])\n",
+    "plt.subplot(411)\n",
+    "i = 0\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.legend(['class 0', 'class 1'], fontsize=10)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.subplot(412)\n",
+    "i = int((m-1)*0.33)\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.subplot(413)\n",
+    "i = int((m-1)*0.66)\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.subplot(414)\n",
+    "i = m-1\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.xlabel('X values')\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('ex_contrast_X')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3b9a9c63",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# create matrix rgb\n",
+    "mat_rgb = np.zeros([m, vbins.size-1, 3])\n",
+    "for i in range(m):\n",
+    "    mat_rgb[i,:,0] = np.histogram(X[:s0,i], bins=vbins)[0]\n",
+    "    mat_rgb[i,:,2] = np.histogram(X[s0:,i], bins=vbins)[0]\n",
+    "mat_rgb /= mat_rgb.max() / 2.0\n",
+    "\n",
+    "plt.figure(figsize=[6,7])\n",
+    "plt.imshow(mat_rgb)\n",
+    "plt.xlabel('values')\n",
+    "plt.ylabel('input index')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "46880c12",
+   "metadata": {},
+   "source": [
+    "Above, the purple pixels indicate that the distirbutions of teh two classes overlap, whereas red and blue pixels indicate the dominance of one class.\n",
+    "\n",
+    "Now let's see how to separate the 2 classes using a classifier."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d25b05e3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Classifiers and learning parameters\n",
+    "clf = LogisticRegression(C=10000.0, penalty='l2', solver='lbfgs', max_iter=500)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "845c6ded",
+   "metadata": {},
+   "source": [
+    "What is the reference as \"chance\" level: $50\\%$ for $2$ classes?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "832441a2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "acc = pd.DataFrame(columns=['score'])\n",
+    "\n",
+    "# repetitions\n",
+    "n_rep = 20\n",
+    "for i_rep in range(n_rep):\n",
+    "    # generate data\n",
+    "    X, y = gen_inputs(m, s0, s1, scaling)\n",
+    "    \n",
+    "    # Train and test classifiers with subject labels\n",
+    "    clf.fit(X, y)\n",
+    "    # accuracy on train set\n",
+    "    d = {'score': [clf.score(X, y)]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "\n",
+    "# plot\n",
+    "sb.violinplot(data=acc, y='score', scale='width', palette=['brown'])\n",
+    "plt.text(0, 1.05, str(acc['score'].mean())[:4], horizontalalignment='center')\n",
+    "plt.yticks([0,1])\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.xlabel('classifier')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d28622c6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# theoretical chance level\n",
+    "chance_level = 1.0 / 2\n",
+    "\n",
+    "sb.violinplot(data=acc, y='score', scale='width', palette=['brown'])\n",
+    "plt.plot([-1,1], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.xlabel('classifier')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ae55e427",
+   "metadata": {},
+   "source": [
+    "We can play with the contrast between the 2 classes, for example a more difficult classification with lower contrast / separability."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5452ae09",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "acc = pd.DataFrame(columns=['score'])\n",
+    "\n",
+    "# change contrast\n",
+    "scaling = 0.0 # try 0.2, 0.1, 0.0\n",
+    "\n",
+    "# repetitions\n",
+    "n_rep = 20\n",
+    "for i_rep in range(n_rep):\n",
+    "    # generate data\n",
+    "    X, y = gen_inputs(m, s0, s1, scaling)\n",
+    "    \n",
+    "    # Train and test classifiers with subject labels\n",
+    "    clf.fit(X, y)\n",
+    "    # accuracy on train set\n",
+    "    d = {'score': [clf.score(X, y)]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "\n",
+    "# plot\n",
+    "sb.violinplot(data=acc, y='score', scale='width', palette=['brown']) # cut=0\n",
+    "plt.text(0, 1.05, str(acc['score'].mean())[:4], horizontalalignment='center')\n",
+    "plt.plot([-1,1], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.xlabel('classifier')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b9d4a9a2",
+   "metadata": {},
+   "source": [
+    "Even for `scaling=0.0`, the classification accuracy is above the expected chance level $0.5$...\n",
+    "\n",
+    "Let's try with similar (i.e. with same scaling), but new data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "65df5e9c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "X_new, y_new = gen_inputs(m, s0, s1, 0.0) # also change the scaling to play with the code\n",
+    "\n",
+    "print(clf.score(X_new, y_new))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cddebf1c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "acc = pd.DataFrame(columns=['type','score'])\n",
+    "\n",
+    "# input dimensionality (number of features)\n",
+    "m = 10 # try 5, 20\n",
+    "\n",
+    "# class contrast\n",
+    "scaling = 0.7 # try 0.5, 0.0\n",
+    "\n",
+    "# loop with training on a dataset and testing on a new dataset\n",
+    "for i_rep in range(n_rep):\n",
+    "    # generate data\n",
+    "    X, y = gen_inputs(m, s0, s1, scaling)\n",
+    "\n",
+    "    # train and calcluate accuracy\n",
+    "    clf.fit(X, y)\n",
+    "    d = {'type': ['training'],\n",
+    "         'score': [clf.score(X, y)]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "\n",
+    "    # generate new data\n",
+    "    X_new, y_new = gen_inputs(m, s0, s1, scaling)\n",
+    "    \n",
+    "    # only test classifier that was trained on other data\n",
+    "    d = {'type': ['new'],\n",
+    "         'score': [clf.score(X_new, y_new)]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    \n",
+    "sb.violinplot(data=acc, x='type', y='score', scale='width', palette=['brown','orange'])\n",
+    "plt.text(0, 1.05, str(acc[acc['type']=='training']['score'].mean())[:4], horizontalalignment='center')\n",
+    "plt.text(1, 1.05, str(acc[acc['type']=='new']['score'].mean())[:4], horizontalalignment='center')\n",
+    "plt.plot([-1,2], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.xlabel('classifier')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "154c6878",
+   "metadata": {},
+   "source": [
+    "The classifier tends to extract specific \"information\" from the data it is trained with, which corresponds to the notion of overfitting.\n",
+    "\n",
+    "The \"real\" accuracy that should be taken into account is the accuracy for the new data, which quantifies the generalization capability of the classifier to new data from the same class."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3783c050",
+   "metadata": {},
+   "source": [
+    "## Cross-validation scheme\n",
+    "\n",
+    "The idea is to generalize the previous observation by splitting the data into a training set and a testing set, ofr a number of repetitions. The relevant result to report is the test accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5895003c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# number of repetitions and storage of results\n",
+    "n_rep = 10\n",
+    "\n",
+    "# Cross-validation scheme\n",
+    "cvs0 = ShuffleSplit(n_splits=n_rep, test_size=0.2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3d69f322",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# generate n_rep splits\n",
+    "ind_split = np.zeros([n_rep,s0+s1])\n",
+    "i_rep = 0\n",
+    "for train_ind, test_ind in cvs0.split(X, y):\n",
+    "    ind_split[i_rep, test_ind] = 1\n",
+    "    i_rep += 1\n",
+    "\n",
+    "# calculate the size of the test set for each split\n",
+    "test_size = np.vstack((ind_split[:,:s0].sum(axis=1),\n",
+    "                       ind_split[:,s0:].sum(axis=1)))\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.subplot(121)\n",
+    "plt.imshow(ind_split, cmap='binary', interpolation='nearest', aspect=40)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "plt.subplot(122)\n",
+    "plt.plot(test_size[0,::-1], np.arange(n_rep), 'b')\n",
+    "plt.plot(test_size[1,::-1], np.arange(n_rep), 'r')\n",
+    "plt.xlabel('test size per class')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3bd9e7e2",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# wrapper to test cross-validation scheme (cvs) \n",
+    "def test_cvs(cvs, cvs_lbl):\n",
+    "    \n",
+    "    acc = pd.DataFrame(columns=['type', 'cv', 'score'])\n",
+    "    \n",
+    "    for train_ind, test_ind in cvs.split(X, y):\n",
+    "    \n",
+    "        # train and test classifier\n",
+    "        clf.fit(X[train_ind,:], y[train_ind])\n",
+    "        # accuracy on train set\n",
+    "        d = {'type': ['train'],\n",
+    "             'cv': [cvs_lbl], \n",
+    "             'score': [clf.score(X[train_ind,:], y[train_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "        # accuracy on test set\n",
+    "        d = {'type': ['test'],\n",
+    "             'cv': [cvs_lbl],\n",
+    "             'score': [clf.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "\n",
+    "    return acc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e594d7e1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# generate a dataset of features and labels\n",
+    "m = 10 # input dimensionality\n",
+    "s0 = 100 # number of samples for class 0\n",
+    "s1 = 100 # number of samples for class 1\n",
+    "scaling = 0.7 # class contrast\n",
+    "X, y = gen_inputs(m, s0, s1, scaling)\n",
+    "\n",
+    "# evaluate classification accuracy on train and test sets\n",
+    "acc = test_cvs(cvs0, 'no strat')\n",
+    "\n",
+    "# theoretical chance level\n",
+    "chance_level = 0.5\n",
+    "\n",
+    "sb.violinplot(data=acc, x='cv', y='score', hue='type', split=True, scale='width', palette=['brown','orange'])\n",
+    "plt.plot([-1,2], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c462266b",
+   "metadata": {},
+   "source": [
+    "## Stratification\n",
+    "\n",
+    "Let's consider a different splitting scheme that preserves the ratio of classes from the original dataset in each train-test sets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "19850420",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# stratified shuffle split: preserving ratio of classes in train-test sets\n",
+    "cvs1 = StratifiedShuffleSplit(n_splits=n_rep, test_size=0.2)\n",
+    "\n",
+    "# generate n_rep splits\n",
+    "ind_split = np.zeros([n_rep,s0+s1])\n",
+    "i_rep = 0\n",
+    "for train_ind, test_ind in cvs1.split(X, y):\n",
+    "    ind_split[i_rep, test_ind] = 1\n",
+    "    i_rep += 1\n",
+    "\n",
+    "# calculate the size of the test set for each split\n",
+    "test_size = np.vstack((ind_split[:,:s0].sum(axis=1),\n",
+    "                       ind_split[:,s0:].sum(axis=1)))\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.subplot(121)\n",
+    "plt.imshow(ind_split, cmap='binary', interpolation='nearest', aspect=60)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "plt.subplot(122)\n",
+    "plt.plot(test_size[0,::-1], np.arange(n_rep), 'b')\n",
+    "plt.plot(test_size[1,::-1], np.arange(n_rep), 'r')\n",
+    "plt.xlabel('test size per class')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd7a8cc4",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# evaluate classification accuracy on train and test sets\n",
+    "acc = pd.concat((acc, test_cvs(cvs1, 'strat')))\n",
+    "\n",
+    "sb.violinplot(data=acc, x='cv', y='score', hue='type', split=True, scale='width', palette=['brown','orange'])\n",
+    "plt.plot([-1,2], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "04873ea0",
+   "metadata": {},
+   "source": [
+    "# Baseline accuracy as reference \n",
+    "\n",
+    "How to interpret the test accuracy?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c49c4763",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# wrapper to test cross-validation scheme (cvs) \n",
+    "def test_cvs(cvs, cvs_lbl):\n",
+    "    \n",
+    "    acc = pd.DataFrame(columns=['type', 'cv', 'score'])\n",
+    "    \n",
+    "    for train_ind, test_ind in cvs.split(X, y):\n",
+    "    \n",
+    "        # train and test classifiers\n",
+    "        clf.fit(X[train_ind,:], y[train_ind])\n",
+    "        # accuracy on test set\n",
+    "        d = {'type': ['test'],\n",
+    "             'cv': [cvs_lbl],\n",
+    "             'score': [clf.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "\n",
+    "        # shuffling\n",
+    "        train_ind_rand = np.random.permutation(train_ind)\n",
+    "        clf.fit(X[train_ind,:], y[train_ind_rand])\n",
+    "        # accuracy on test set\n",
+    "        d = {'type': ['shuf'],\n",
+    "             'cv': [cvs_lbl],\n",
+    "             'score': [clf.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "\n",
+    "    return acc"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2e0f1248",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "acc = test_cvs(cvs0, 'no strat')\n",
+    "\n",
+    "# theoretical chance level\n",
+    "chance_level = 0.5\n",
+    "\n",
+    "sb.violinplot(data=acc, x='cv', y='score', hue='type', split=True, scale='width', palette=['orange','gray'])\n",
+    "plt.plot([-1,2], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "082f8d49",
+   "metadata": {},
+   "source": [
+    "We find distributed values of accuracies for the shuffling surrogates around the expected value. It looks fine, but is all the variability coming from the classifier?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "21edac79",
+   "metadata": {},
+   "source": [
+    "# Unbalanced data\n",
+    "\n",
+    "We now look into a different version of the dataset, a bit less artificial. We consider the case of unbalanced classes, with different number of samples in the two classes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "902d7b27",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# generate inputs with unbalanced classes\n",
+    "m = 10 # input dimensionality\n",
+    "s0 = 100 # number of samples for class 0\n",
+    "s1 = 300 # number of samples for class 1\n",
+    "scaling = 0.7 # class contrast\n",
+    "\n",
+    "X, y = gen_inputs(m, s0, s1, scaling) # also change the scaling to play with the code"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1d1629a0",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "acc = test_cvs(cvs0, 'no strat')\n",
+    "\n",
+    "# theoretical chance level\n",
+    "naive_chance_level = 1.0 / 2 # equal probability for each category\n",
+    "greedy_chance_level = max(s0,s1) / (s0+s1) # always predict the larger class\n",
+    "\n",
+    "sb.violinplot(data=acc, x='cv', y='score', hue='type', split=True, scale='width', palette=['orange','gray'])\n",
+    "plt.plot([-1,2], [naive_chance_level]*2, ':k')\n",
+    "plt.plot([-1,2], [greedy_chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.axis(ymax=1.02)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4f9a0bd6",
+   "metadata": {},
+   "source": [
+    "The baseline accuracy has changed in this case... A \"stupid\" classifier predicting always the larger class will perform above $50\\%$ accuracy for unbalanced classes."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b662b586",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# generate n_rep splits\n",
+    "ind_split = np.zeros([n_rep,s0+s1])\n",
+    "i_rep = 0\n",
+    "for train_ind, test_ind in cvs0.split(X, y):\n",
+    "    ind_split[i_rep, test_ind] = 1\n",
+    "    i_rep += 1\n",
+    "\n",
+    "# calculate the size of the test set for each split\n",
+    "test_size = np.vstack((ind_split[:,:s0].sum(axis=1),\n",
+    "                       ind_split[:,s0:].sum(axis=1)))\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.subplot(121)\n",
+    "plt.imshow(ind_split, cmap='binary', interpolation='nearest', aspect=40)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "plt.subplot(122)\n",
+    "plt.plot(test_size[0,::-1], np.arange(n_rep), 'b')\n",
+    "plt.plot(test_size[1,::-1], np.arange(n_rep), 'r')\n",
+    "plt.xlabel('test size per class')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0a26b002",
+   "metadata": {},
+   "source": [
+    "Does the variability of the class ratio in the test set matter?\n",
+    "\n",
+    "Let's compare to other possibility for splitting the data in train-test sets."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9e9b65a9",
+   "metadata": {},
+   "source": [
+    "## Leave-one-out scheme\n",
+    "\n",
+    "Another popular scheme consists in leaving out one sample for testing, especially in the case of small datasets. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "005d13cf",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# leave-two-out scheme\n",
+    "cvs2 = LeaveOneOut()\n",
+    "\n",
+    "# generate n_rep splits\n",
+    "ind_split = np.zeros([s0+s1,s0+s1])\n",
+    "i_rep = 0\n",
+    "for train_ind, test_ind in cvs2.split(X, y):\n",
+    "    ind_split[i_rep, test_ind] = 1\n",
+    "    i_rep += 1\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.imshow(ind_split, cmap='binary', interpolation='nearest', aspect=1)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8f2ae9a7",
+   "metadata": {},
+   "source": [
+    "## Comparison of cross-validation schemes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4790171d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# list of cross-validation schemes\n",
+    "cvs_list = [cvs0, cvs1, cvs2]\n",
+    "\n",
+    "# labels for cvs\n",
+    "cvs_lbl = ['no strat', 'strat', 'loo']\n",
+    "\n",
+    "# accuracy\n",
+    "acc = pd.DataFrame(columns=['type', 'cv', 'score'])\n",
+    "\n",
+    "# loop over cross-validation schemes\n",
+    "for lbl, cvs in zip(cvs_lbl, cvs_list):\n",
+    "    acc_tmp = test_cvs(cvs, lbl)\n",
+    "    acc = pd.concat((acc, acc_tmp))\n",
+    "    \n",
+    "# theoretical chance level\n",
+    "naive_chance_level = 1.0 / 2 # equal probability for each category\n",
+    "greedy_chance_level = max(s0,s1) / (s0+s1) # always predict the larger class\n",
+    "\n",
+    "# calculate mean of accuracy for leave-two-out scheme\n",
+    "sel_df = np.logical_and(acc['cv']=='loo', acc['type']=='shuf')\n",
+    "mean_small_test = acc[sel_df]['score'].mean()\n",
+    "\n",
+    "# plot\n",
+    "sb.violinplot(data=acc, x='cv', y='score', hue='type', split=True, scale='width', palette=['orange','gray'], cut=0)\n",
+    "plt.plot([-1,3], [naive_chance_level]*2, ':k')\n",
+    "plt.plot([-1,3], [greedy_chance_level]*2, '--k')\n",
+    "plt.plot([2.5], [mean_small_test], marker='x', markersize=16, color='k', ls='')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.legend(loc='lower left')\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('acc_cv')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e25aa63",
+   "metadata": {},
+   "source": [
+    "## Unpacking classification accuracy across classes\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6ea00c4e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# matrix of predicted class versus true class in test set\n",
+    "cm = np.zeros([2,2])\n",
+    "\n",
+    "# repeat classification\n",
+    "for train_ind, test_ind in cvs1.split(X, y):\n",
+    "    clf.fit(X[train_ind,:], y[train_ind])\n",
+    "    cm += confusion_matrix(y_true=y[test_ind], \n",
+    "                           y_pred=clf.predict(X[test_ind,:]))        \n",
+    "\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.imshow(cm, cmap='jet', vmin=0)\n",
+    "plt.colorbar(label='sample count')\n",
+    "plt.xticks([0,1], ['class 0','class 1'])\n",
+    "plt.yticks([0,1], ['class 0','class 1'])\n",
+    "plt.xlabel('predicted label')\n",
+    "plt.ylabel('true label')\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35a5cbd1",
+   "metadata": {},
+   "source": [
+    "## Conclusion\n",
+    "\n",
+    "We see that the leave-one-out (loo) only makes sense when averaging the results (see the cross).\n",
+    "\n",
+    "The non-stratified splitting inflates the distribution of chance-level accuracy.\n",
+    "\n",
+    "A good default (for sufficient data) is $80\\%$-$20\\%$ split for the train-test sets, repeated $100$ times.\n",
+    "\n",
+    "Importantly, this approach is *conservative*: the risk to find \"information\" by chance where there is none (akin to a \"false positive\") can controlled by comparing the classifier with teh chance-level accuracy, in particular its spread. Instead, mistakes tend to yield a large variability in the accuracy distributions, with an absence of positive outcome. In other words, when you find some effect, you can trust it, but it is also likely that you have to try different classifiers to get the best accuracy. This is in fact not a problem, but can inform on the structure of the data (where there is information related to the predicted label).\n",
+    "\n",
+    "*Refs:*\n",
+    "- cross-validation: https://scikit-learn.org/stable/modules/cross_validation.html\n",
+    "- chance-level evaluation: https://scikit-learn.org/stable/modules/generated/sklearn.dummy.DummyClassifier.html\n"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/sup_lrn/nb_suplearn2_nested_cv.ipynb b/sup_lrn/nb_suplearn2_nested_cv.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..b92b13074340cb0dc1b8b2d313937693776dbd37
--- /dev/null
+++ b/sup_lrn/nb_suplearn2_nested_cv.ipynb
@@ -0,0 +1,631 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "00cde4c7",
+   "metadata": {},
+   "source": [
+    "# 2) Nested cross-validation \n",
+    "\n",
+    "This notebook shows the use of cross-validation to tune hyperparameters for classifiers\n",
+    "\n",
+    "See also the documentation of scikit-learn library (https://scikit-learn.org/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8c9c8432",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import librairies\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.model_selection import StratifiedShuffleSplit, StratifiedKFold, GridSearchCV\n",
+    "\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.pipeline import make_pipeline\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "%matplotlib inline\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d12a052",
+   "metadata": {},
+   "source": [
+    "## Generate samples to classify\n",
+    "\n",
+    "We first generate synthetic data with 2 classes to separate (`s0` and `s1` samples, respectively). The input dimensionality corresponds `m` features."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4673d31d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create synthetic dataset where 2 classes of s0+s1 samples of m-dimensional inputs with controlled contrast\n",
+    "def gen_inputs(m,        # input dimensionality\n",
+    "               s0,       # number of samples for class 0\n",
+    "               s1,       # number of samples for class 1\n",
+    "               scaling): # scaling factor to separate classes\n",
+    "\n",
+    "    # labels\n",
+    "    lbl = np.zeros([s0+s1], dtype=int)\n",
+    "    # inputs\n",
+    "    X = np.zeros([s0+s1,m])\n",
+    "\n",
+    "    # create s0 and s1 samples for the 2 classes\n",
+    "    for i in range(s0+s1):\n",
+    "        # label\n",
+    "        lbl[i] = int(i<s0)\n",
+    "        # inputs are random noise plus a shift\n",
+    "        for j in range(m):\n",
+    "            # positive/negative shift for 1st/2nd class, only for indices j larger than m/2\n",
+    "            if j>=m/2:\n",
+    "                if i<s0:\n",
+    "                    a = -scaling\n",
+    "                else:\n",
+    "                    a = scaling\n",
+    "            else:\n",
+    "                a = 0.0\n",
+    "            # the shift linearly depends on the feature index j\n",
+    "            X[i,j] = a*j/m + np.random.randn()\n",
+    "            \n",
+    "    return X, lbl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "029ab1fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate inputs and labels\n",
+    "m = 50 # input dimensionality\n",
+    "s0=100 # number of samples for class 0\n",
+    "s1=100 # number of samples for class 1\n",
+    "X, y = gen_inputs(m, s0, s1, scaling=0.2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0024c6aa",
+   "metadata": {},
+   "source": [
+    "## Parameterization of classifier\n",
+    "\n",
+    "We then choose a classifier and a cross-validation scheme."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6f2a4e24",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# (multinomial) logistic regression, involving regularization controlled by the hyperparameter C\n",
+    "clf_MLR = LogisticRegression(C=10000.0, penalty='l2', solver='lbfgs', max_iter=500)\n",
+    "\n",
+    "# repetitions of cross-validation (train-test)\n",
+    "n_rep = 5\n",
+    "# stratified K fold with (same splitting with 80% for training and 20% for testing as StratifiedShuffleSplit before)\n",
+    "cvs = StratifiedKFold(n_splits=n_rep)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0c8bb544",
+   "metadata": {},
+   "source": [
+    "### Role of hyperparameter\n",
+    "\n",
+    "What is the effect of the hyperparameter C that governs the regularization?"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "069c8442",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# grid evaluation (log scale)\n",
+    "Cs = np.array([0.01,0.1,1.0,10.0,100.0])\n",
+    "n_C = Cs.size\n",
+    "\n",
+    "acc = pd.DataFrame(columns=['type', 'C', 'score'])\n",
+    "\n",
+    "coefs = np.zeros([n_C,m])\n",
+    "\n",
+    "# repeat classification\n",
+    "cnt = 0\n",
+    "for train_ind, test_ind in cvs.split(X, y):\n",
+    "    # loop over hyperparameter\n",
+    "    for C in Cs:\n",
+    "        # set regularization\n",
+    "        clf_MLR.set_params(C=C)\n",
+    "        # train classifier\n",
+    "        clf_MLR.fit(X[train_ind,:], y[train_ind])\n",
+    "        d = {'type': ['train'],\n",
+    "             'C': [C], \n",
+    "             'score': [clf_MLR.score(X[train_ind,:], y[train_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)))\n",
+    "        coefs[cnt:] = clf_MLR.coef_\n",
+    "        cnt += 1\n",
+    "        # test classifier       \n",
+    "        d = {'type': ['test'],\n",
+    "             'C': [C], \n",
+    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)))\n",
+    "\n",
+    "\n",
+    "# plot\n",
+    "sb.violinplot(data=acc, x='C', y='score', hue='type', split=True, scale='width', palette=['brown','orange'])\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.xlabel('reg hyperparam C')\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.tight_layout()\n",
+    "plt.title('train-test accuracy')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a65b81a7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "for i_C in range(n_C):\n",
+    "    plt.plot(range(m),coefs[i_C,:], label=Cs[i_C])\n",
+    "plt.legend()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a21b4c4c",
+   "metadata": {},
+   "source": [
+    "The hyperparameter `C` has opposing effects on the train and test accuracies. This indicates that the unregularized MLR classifier (with large `C`) is overfitting the data here. \n",
+    "\n",
+    "How to select the best value for `C`?"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bdb04e59",
+   "metadata": {},
+   "source": [
+    "## Inner cross-validation loop within the training set\n",
+    "\n",
+    "We can use cross-validation within the training set to test the effec tof `C`. Of course this reduces the amount of data for training within the original training set."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e614b340",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# nested cross-validation scheme\n",
+    "n_split_nest = 5\n",
+    "cv_nest = StratifiedKFold(n_splits=n_split_nest)\n",
+    "\n",
+    "# indices of splits\n",
+    "ind_split_inner = np.zeros([n_rep*n_split_nest,s0+s1])\n",
+    "ind_split_outer = np.zeros([n_rep,s0+s1])\n",
+    "\n",
+    "# outer loop\n",
+    "i_inner = 0\n",
+    "i_outer = 0\n",
+    "for tr_ind, test_ind in cvs.split(X, y):\n",
+    "    # split data\n",
+    "    X_tr, X_test = X[tr_ind,:], X[test_ind,:]\n",
+    "    y_tr, y_test = y[tr_ind], y[test_ind]\n",
+    "    \n",
+    "    # 2=train+val, 3=test\n",
+    "    ind_split_outer[i_outer, tr_ind] = 2\n",
+    "    ind_split_outer[i_outer, test_ind] = 3\n",
+    "\n",
+    "    # inner loop\n",
+    "    for train_ind, val_ind in cv_nest.split(X_tr, y_tr):\n",
+    "        # 0=train, 1=val, 3=test\n",
+    "        ind_split_inner[i_inner, tr_ind[val_ind]] = 1\n",
+    "        ind_split_inner[i_inner, test_ind] = 3\n",
+    "        # increase counter\n",
+    "        i_inner += 1\n",
+    "        \n",
+    "    # increase counter\n",
+    "    i_outer += 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f0173728",
+   "metadata": {},
+   "source": [
+    "Let's first look at the splits in the outer loop."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "11469825",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot split indices for each \n",
+    "plt.figure(figsize=[10,10])\n",
+    "plt.imshow(ind_split_outer, vmin=0, vmax=7, cmap='Set2', interpolation='nearest', aspect=40)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "cbar = plt.colorbar(ticks=[2,3], shrink=0.7)\n",
+    "cbar.ax.set_yticklabels(['train+val','test']) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a52fffac",
+   "metadata": {},
+   "source": [
+    "For each split, we subdivide the outer \"training\" set, into the inner training and validation sets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "eb71ec5a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot split indices\n",
+    "plt.figure(figsize=[10,10])\n",
+    "plt.imshow(ind_split_inner[:n_split_nest,:], vmax=7, cmap='Set2', interpolation='nearest', aspect=40)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "plt.colorbar(ticks=[0,1,3], shrink=0.7)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8df51f10",
+   "metadata": {},
+   "source": [
+    "Putting everything together, we have the 3 sets"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5c81d8eb",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot split indices\n",
+    "plt.figure(figsize=[10,10])\n",
+    "plt.imshow(ind_split_inner, vmax=7, cmap='Set2', interpolation='nearest', aspect=8)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "plt.colorbar(ticks=[0,1,3], shrink=0.7)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3200c011",
+   "metadata": {},
+   "source": [
+    "We can do the same with any outer loop, like the `StratifiedShuffleSplit` that we used before."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f2e30669",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# change outer cross-validation scheme\n",
+    "n_rep = 20\n",
+    "cvs = StratifiedShuffleSplit(n_splits=n_rep, test_size=0.2)\n",
+    "\n",
+    "# indices of splits\n",
+    "ind_split = np.zeros([n_rep*n_split_nest,s0+s1])\n",
+    "\n",
+    "# outer loop\n",
+    "i_rep = 0\n",
+    "for train_ind, test_ind in cvs.split(X, y):\n",
+    "    # split data\n",
+    "    X_train, X_test = X[train_ind,:], X[test_ind,:]\n",
+    "    y_train, y_test = y[train_ind], y[test_ind]\n",
+    "    \n",
+    "    # inner loop\n",
+    "    for tr_ind, val_ind in cv_nest.split(X_train, y_train):\n",
+    "        ind_split[i_rep, train_ind[val_ind]] = 1\n",
+    "        ind_split[i_rep, test_ind] = 3\n",
+    "        i_rep += 1\n",
+    "\n",
+    "# plot split indices\n",
+    "plt.figure(figsize=[10,10])\n",
+    "plt.imshow(ind_split, vmax=7, cmap='Set2', interpolation='nearest', aspect=2)\n",
+    "plt.xlabel('sample index')\n",
+    "plt.ylabel('split index')\n",
+    "cbar = plt.colorbar(ticks=[0,1,3], shrink=0.7)\n",
+    "cbar.ax.set_yticklabels(['train','val','test'])\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cc9b644c",
+   "metadata": {},
+   "source": [
+    "Now we can use this splitting scheme to test the effect of `C`, selecting the value that gives the best accuracy averaged over the validation sets."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "53b90b92",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# function to train hyperparameter with nested CV\n",
+    "def nested_CV(clf, X, y):\n",
+    "    acc_nest = np.zeros([n_C,n_split_nest])\n",
+    "    j = 0\n",
+    "    for ind0, ind1 in cv_nest.split(X, y):\n",
+    "        # split in train and validation sets\n",
+    "        X0, X1 = X[ind0], X[ind1]\n",
+    "        y0, y1 = y[ind0], y[ind1]\n",
+    "        # train classifier over all reg parameters\n",
+    "        for i, C in enumerate(Cs):\n",
+    "            # set regularization\n",
+    "            clf.set_params(C=C)\n",
+    "            # train classifier on X0\n",
+    "            clf.fit(X0, y0)\n",
+    "            # test classifier on X1\n",
+    "            acc_nest[i,j] = clf.score(X1,y1)\n",
+    "        j += 1\n",
+    "    # get log C parameter\n",
+    "    i_best = np.argmax(acc_nest.mean(1))\n",
+    "    return Cs[i_best]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5a264a05",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "scalings = [0.1,0.2,0.3,0.4]\n",
+    "\n",
+    "acc = pd.DataFrame(columns=['scaling', 'type', 'log C', 'score'])\n",
+    "\n",
+    "for scaling in scalings:\n",
+    "    # generate inputs\n",
+    "    X, y = gen_inputs(m, s0, s1, scaling=scaling)\n",
+    "    \n",
+    "    # repeat classification\n",
+    "    for train_ind, test_ind in cvs.split(X, y):\n",
+    "        # select best hyperparameter\n",
+    "        best_C = nested_CV(clf_MLR, X[train_ind,:], y[train_ind])\n",
+    "        clf_MLR.set_params(C=best_C)\n",
+    "        # train and test classifier\n",
+    "        clf_MLR.fit(X[train_ind,:], y[train_ind])\n",
+    "        d = {'scaling': [scaling],\n",
+    "             'type': ['train'],\n",
+    "             'log C': [np.log10(best_C)], \n",
+    "             'score': [clf_MLR.score(X[train_ind,:], y[train_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "        d = {'scaling': [scaling],\n",
+    "             'type': ['test'],\n",
+    "             'log C': [np.log10(best_C)], \n",
+    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "        \n",
+    "        # shuffling\n",
+    "        train_ind_rand = np.random.permutation(train_ind)\n",
+    "    \n",
+    "        best_C = nested_CV(clf_MLR, X[train_ind,:], y[train_ind_rand])\n",
+    "        clf_MLR.set_params(C=best_C)\n",
+    "        clf_MLR.fit(X[train_ind,:], y[train_ind_rand])\n",
+    "        d = {'scaling': [scaling],\n",
+    "             'type': ['shuf'],\n",
+    "             'log C': [np.log10(best_C)], \n",
+    "             'score': [clf_MLR.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "020d231f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plots\n",
+    "\n",
+    "# theoretical chance level\n",
+    "chance_level = 0.5\n",
+    "\n",
+    "acc2 = acc[np.logical_or(acc['type']=='train',acc['type']=='test')]\n",
+    "\n",
+    "plt.figure()\n",
+    "sb.violinplot(data=acc2, x='scaling', y='score', hue='type', split=True, \n",
+    "              palette=['brown','orange'], scale='width')\n",
+    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.tight_layout()\n",
+    "plt.title('train-test accuracies')\n",
+    "\n",
+    "\n",
+    "acc2 = acc[np.logical_or(acc['type']=='shuf',acc['type']=='test')]\n",
+    "\n",
+    "plt.figure()\n",
+    "sb.violinplot(data=acc2, x='scaling', y='score', hue='type', hue_order=('shuf','test'),\n",
+    "              split=True, palette=['gray','orange'], scale='width')\n",
+    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.tight_layout()\n",
+    "plt.title('test-shuf accuracies')\n",
+    "\n",
+    "\n",
+    "plt.figure()\n",
+    "sb.violinplot(data=acc2, x='scaling', y='log C', hue='type', \n",
+    "              palette=['orange','gray'], scale='width')\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.tight_layout()\n",
+    "plt.title('best C (log$_{10}$ scale)')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "146441cb",
+   "metadata": {},
+   "source": [
+    "We find that the best `C` selected by the nested cross-validation is $0.01$, in line with the comparison of training/testing accuracies at the beginning of the notebook (with the scaling $0.2$ that governs the contrast across the 2 classes). \n",
+    "\n",
+    "Here the scaling affects the selected `C` with looser selection for smaller scaling (i.e. when the classification is difficult and the classifier does not perform well). \n",
+    "\n",
+    "Note that the classifier trained with shuffled labels for the baseline accuracy does not depend on `C`."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e3f096d7",
+   "metadata": {},
+   "source": [
+    "## Implementation in scikit-learn\n",
+    "\n",
+    "Let's use `GridSearchCV`, which performs the fitting of the parameters."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07cdf8f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# grid search for hyperparameter C\n",
+    "gscv = GridSearchCV(clf_MLR,\n",
+    "                    {'C': Cs},\n",
+    "                    cv=cv_nest)\n",
+    "\n",
+    "acc = pd.DataFrame(columns=['scaling', 'type', 'log C', 'score'])\n",
+    "\n",
+    "for scaling in scalings:\n",
+    "    # generate inputs\n",
+    "    X, y = gen_inputs(m, s0, s1, scaling=scaling)\n",
+    "    \n",
+    "    # repeat classification\n",
+    "    for train_ind, test_ind in cvs.split(X, y):\n",
+    "        # Grid search to find best classifier\n",
+    "        gscv.fit(X[train_ind,:], y[train_ind])\n",
+    "        clf = gscv.best_estimator_\n",
+    "        \n",
+    "        # Train and test best classifiers with subject labels\n",
+    "        clf.fit(X[train_ind,:], y[train_ind])\n",
+    "        d = {'scaling': [scaling],\n",
+    "             'type': ['test'],\n",
+    "             'log C': [np.log10(gscv.best_params_['C'])], \n",
+    "             'score': [clf.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    \n",
+    "        # shuffling\n",
+    "        train_ind_rand = np.random.permutation(train_ind)\n",
+    "    \n",
+    "        clf.fit(X[train_ind,:], y[train_ind_rand])\n",
+    "        d = {'scaling': [scaling],\n",
+    "             'type': ['shuf'],\n",
+    "             'log C': [np.log10(gscv.best_params_['C'])], \n",
+    "             'score': [clf.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "a92c13eb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "sb.violinplot(data=acc, x='scaling', y='score', hue='type', hue_order=['shuf','test'], split=True, \n",
+    "              palette=['gray','orange'], scale='width')\n",
+    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.legend(loc='lower right')\n",
+    "plt.tight_layout()\n",
+    "plt.title('train-test accuracies')\n",
+    "\n",
+    "\n",
+    "acc2 = acc[acc['type']=='test']\n",
+    "\n",
+    "plt.figure()\n",
+    "sb.violinplot(data=acc2, x='scaling', y='log C', hue='type', \n",
+    "              palette=['orange'], scale='width')\n",
+    "plt.legend(loc='upper right')\n",
+    "plt.tight_layout()\n",
+    "plt.title('best C (log$_{10}$ scale)')\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/sup_lrn/nb_suplearn3_classifiers.ipynb b/sup_lrn/nb_suplearn3_classifiers.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..0aaa7517b72aa49b14dc566e78b577894cc308ae
--- /dev/null
+++ b/sup_lrn/nb_suplearn3_classifiers.ipynb
@@ -0,0 +1,303 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "2628a7ec",
+   "metadata": {},
+   "source": [
+    "# 3) Comparing classifiers \n",
+    "\n",
+    "author: Mat Gilson, https://github.com/MatthieuGilson\n",
+    "\n",
+    "This notebook compares different classifiers for a synthetic dataset. It includes nested cross-validation to optimize hyperparameters.\n",
+    "\n",
+    "See also the documentation of scikit-learn library (https://scikit-learn.org/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ec9bb8b2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import librairies\n",
+    "\n",
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.model_selection import StratifiedShuffleSplit, StratifiedKFold, GridSearchCV\n",
+    "\n",
+    "# classifiers\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "from sklearn.ensemble import RandomForestClassifier\n",
+    "from sklearn.discriminant_analysis import QuadraticDiscriminantAnalysis\n",
+    "\n",
+    "import pandas as pd\n",
+    "\n",
+    "%matplotlib inline\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5e78fcf9",
+   "metadata": {},
+   "source": [
+    "Let's generate a dataset for classification, including labels."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "aef4882d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create synthetic dataset where 2 classes of s0+s1 samples of m-dimensional inputs with controlled contrast\n",
+    "def gen_inputs(m,        # input dimensionality\n",
+    "               s0,       # number of samples for class 0\n",
+    "               s1,       # number of samples for class 1\n",
+    "               scaling): # scaling factor to separate classes\n",
+    "\n",
+    "    # labels\n",
+    "    lbl = np.zeros([s0+s1], dtype=int)\n",
+    "    # inputs\n",
+    "    X = np.zeros([s0+s1,m])\n",
+    "\n",
+    "    # create s0 and s1 samples for the 2 classes\n",
+    "    for i in range(s0+s1):\n",
+    "        # label\n",
+    "        lbl[i] = int(i<s0)\n",
+    "        # inputs are random noise plus a shift\n",
+    "        for j in range(m):\n",
+    "            # positive/negative shift for 1st/2nd class, only for indices j larger than m/2\n",
+    "            if j>=m/2:\n",
+    "                if i<s0:\n",
+    "                    a = -scaling\n",
+    "                else:\n",
+    "                    a = scaling\n",
+    "            else:\n",
+    "                a = 0.0\n",
+    "            # the shift linearly depends on the feature index j\n",
+    "            X[i,j] = a*j/m + np.random.randn()\n",
+    "            \n",
+    "    return X, lbl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4d4bade5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# input properties\n",
+    "m = 10 # input dimensionality\n",
+    "s0 = 100 # number of samples for class 0\n",
+    "s1 = 100 # number of samples for class 1\n",
+    "scaling = 0.7 # class contrast (try 1.0, 0.5, 0.1)\n",
+    "\n",
+    "# generate inputs\n",
+    "X, y = gen_inputs(m, s0, s1, scaling)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45051d6f",
+   "metadata": {},
+   "source": [
+    "## Comparison of classifiers\n",
+    "\n",
+    "We want to compare the accuracy for different classifiers:\n",
+    "- MLR is the multinomial logistic regression\n",
+    "- 1NN is the 1-nearest-neighbor\n",
+    "- RF is a random forest\n",
+    "- QDA is a quadratic discrimnant analysis"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5ffeb39f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# classifiers\n",
+    "clf_MLR = LogisticRegression(penalty='l2', solver='lbfgs', max_iter=500)\n",
+    "\n",
+    "clf_1NN = KNeighborsClassifier(n_neighbors=1, algorithm='brute', metric='minkowski')\n",
+    "\n",
+    "clf_RF = RandomForestClassifier(n_estimators=10)\n",
+    "\n",
+    "clf_QDA = QuadraticDiscriminantAnalysis()\n",
+    "\n",
+    "dict_clf = {'MLR': clf_MLR,\n",
+    "            '1NN': clf_1NN,\n",
+    "            'RF': clf_RF,\n",
+    "            'QDA': clf_QDA}\n",
+    "\n",
+    "# dictionary of hyperparameters and ranges to explore (grid search)\n",
+    "dict_params = {'C': [0.01,0.1,1.0,10.0,100.0],               # C for regularization\n",
+    "               'n_neighbors': [1,2,3,4,5],                   # k nearest neighbors\n",
+    "               'criterion': ['gini', 'entropy'], # splitting quality eval\n",
+    "               'reg_param': [0.01,0.1,1.0]}       # regularization param"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a5ed9e3c",
+   "metadata": {},
+   "source": [
+    "We use cross-validation with the evaluation of test accuracy, as well as nested cross-validation to optimize hyperparameters."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "08581b70",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# outer cross-validation scheme: 80% for training and 20% for testing\n",
+    "cvs = StratifiedShuffleSplit(n_splits=20, test_size=0.2)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7065006a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# nested cross-validation scheme\n",
+    "n_split_nest = 5\n",
+    "cv_nest = StratifiedKFold(n_splits=n_split_nest)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cc99137f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# to store result accuracies\n",
+    "acc = pd.DataFrame(columns=['type', 'clf', 'score'])\n",
+    "\n",
+    "# loop over classifiers\n",
+    "for i, (k, param_name) in enumerate(zip(dict_clf,dict_params)):\n",
+    "    # get classifier and related information\n",
+    "    clf = dict_clf[k]\n",
+    "    param_vals = dict_params[param_name]\n",
+    "    # print(param_name, param_vals)\n",
+    "\n",
+    "    # repeat classification\n",
+    "    for train_ind, test_ind in cvs.split(X, y):\n",
+    "        # grid search for hyperparameter C\n",
+    "        gscv = GridSearchCV(clf,\n",
+    "                    {param_name: param_vals},\n",
+    "                    cv=cv_nest)\n",
+    "        gscv.fit(X[train_ind,:], y[train_ind])\n",
+    "        best_clf = gscv.best_estimator_\n",
+    "        print(gscv.best_params_)\n",
+    "\n",
+    "        # train and test best classifier with subject labels\n",
+    "        best_clf.fit(X[train_ind,:], y[train_ind])\n",
+    "        # train and test accuracies\n",
+    "        d = {'type': ['train'],\n",
+    "             'clf': [k], \n",
+    "             'score': [best_clf.score(X[train_ind,:], y[train_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "        d = {'type': ['test'],\n",
+    "             'clf': [k], \n",
+    "             'score': [best_clf.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "\n",
+    "        # shuffling labels and fit again for evaluation of chance level\n",
+    "        train_ind_rand = np.random.permutation(train_ind)\n",
+    "        best_clf.fit(X[train_ind,:], y[train_ind_rand])\n",
+    "        d = {'type': ['shuf'],\n",
+    "             'clf': [k], \n",
+    "             'score': [best_clf.score(X[test_ind,:], y[test_ind])]}\n",
+    "        acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "        \n",
+    "# print table of results\n",
+    "print()\n",
+    "print(acc)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "ebeab02a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# plot: train versus test accuracy\n",
+    "acc2 = acc[np.logical_or(acc['type']=='train',acc['type']=='test')]\n",
+    "\n",
+    "# theoretical chance level\n",
+    "chance_level = 0.5\n",
+    "\n",
+    "sb.violinplot(data=acc2, x='clf', y='score', hue='type', split=True, scale='width', palette=['brown','orange']) # cut=0\n",
+    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.xlabel('classifier')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.legend(loc='lower right', fontsize=11)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "77102885",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# test versus baseline accuracy\n",
+    "acc2 = acc[np.logical_or(acc['type']=='shuf',acc['type']=='test')]\n",
+    "\n",
+    "sb.violinplot(data=acc2, x='clf', y='score', hue='type', hue_order=['shuf','test'], \n",
+    "              split=True, scale='width', palette=['gray','orange'])\n",
+    "plt.plot([-1,4], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.xlabel('classifier')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.legend(loc='lower right', fontsize=11)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/sup_lrn/nb_suplearn4_feature_selection.ipynb b/sup_lrn/nb_suplearn4_feature_selection.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..bae4b3cdc7dc1de74fbde00ff3dcdeb6d4455a5e
--- /dev/null
+++ b/sup_lrn/nb_suplearn4_feature_selection.ipynb
@@ -0,0 +1,345 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "00cde4c7",
+   "metadata": {},
+   "source": [
+    "# 4) Recursive feature elimination (RFE)\n",
+    "\n",
+    "This notebook shows the use of RFE to identify informative features for the classification\n",
+    "\n",
+    "See also the documentation of scikit-learn library (https://scikit-learn.org/)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8c9c8432",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import librairies\n",
+    "\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from sklearn.model_selection import StratifiedShuffleSplit, StratifiedKFold, GridSearchCV\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.neighbors import KNeighborsClassifier\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.pipeline import Pipeline, make_pipeline\n",
+    "from sklearn.feature_selection import RFE\n",
+    "\n",
+    "%matplotlib inline\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d12a052",
+   "metadata": {},
+   "source": [
+    "## Generate samples to classify\n",
+    "\n",
+    "We first generate synthetic data with 2 classes to separate (`s0` and `s1` samples, respectively). The input dimensionality corresponds `m` features. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4673d31d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create synthetic dataset where 2 classes of s0+s1 samples of m-dimensional inputs with controlled contrast\n",
+    "def gen_inputs(m,        # input dimensionality\n",
+    "               s0,       # number of samples for class 0\n",
+    "               s1,       # number of samples for class 1\n",
+    "               scaling): # scaling factor to separate classes\n",
+    "\n",
+    "    # labels\n",
+    "    lbl = np.zeros([s0+s1], dtype=int)\n",
+    "    # inputs\n",
+    "    X = np.zeros([s0+s1,m])\n",
+    "\n",
+    "    # create s0 and s1 samples for the 2 classes\n",
+    "    for i in range(s0+s1):\n",
+    "        # label\n",
+    "        lbl[i] = int(i<s0)\n",
+    "        # inputs are random noise plus a shift\n",
+    "        for j in range(m):\n",
+    "            # positive/negative shift for 1st/2nd class\n",
+    "            if i<s0:\n",
+    "                a = -scaling\n",
+    "            else:\n",
+    "                a = scaling\n",
+    "            # the shift across classes linearly depends on the feature index j\n",
+    "            X[i,j] = a*j/m + np.random.randn()\n",
+    "            \n",
+    "    return X, lbl"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "029ab1fa",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# generate inputs and labels\n",
+    "m = 50 # input dimensionality\n",
+    "s0 = 100 # number of samples for class 0\n",
+    "s1 = 100 # number of samples for class 1\n",
+    "X, y = gen_inputs(m, s0, s1, scaling=0.5) # try 0.2"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "56e3cdf7-e3ca-43bb-89a1-e68dae9627dc",
+   "metadata": {},
+   "source": [
+    "Here the inputs are modified compared to the previous notebooks, with a gradient of contrast that increases with the feature index $j$."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1f5113c4-b6c5-462f-84f0-5ba38872d420",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create matrix rgb\n",
+    "vbins = np.linspace(-3,3,30) # bins for istograms\n",
+    "mat_rgb = np.zeros([m, vbins.size-1, 3])\n",
+    "for i in range(m):\n",
+    "    mat_rgb[i,:,0] = np.histogram(X[:s0,i], bins=vbins)[0]\n",
+    "    mat_rgb[i,:,2] = np.histogram(X[s0:,i], bins=vbins)[0]\n",
+    "mat_rgb /= mat_rgb.max() / 2.0\n",
+    "\n",
+    "plt.figure(figsize=[6,7])\n",
+    "plt.imshow(mat_rgb)\n",
+    "plt.xlabel('values')\n",
+    "plt.ylabel('input index')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0024c6aa",
+   "metadata": {},
+   "source": [
+    "## Parameterization of classifier\n",
+    "\n",
+    "We then build a pipeline for the classifier. The outer cross-validation corresponds to the train-test splitting as before.\n",
+    "\n",
+    "The inner crosss-validation corresponds to the optimization of the hyperparameter `C` of the classifier (logistic regression in the pipeline)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6f2a4e24",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# hyperparameter for regularization\n",
+    "Cs = [0.01,0.1,1.0,10.0,100.0]\n",
+    "\n",
+    "# classifier in pipeline and wrapper for RFE\n",
+    "clf = Pipeline([('scl',StandardScaler()),\n",
+    "                ('mlr',LogisticRegression())])\n",
+    "\n",
+    "# number of repetitions and storage of results\n",
+    "n_rep = 10\n",
+    "\n",
+    "# outer cross-validation scheme\n",
+    "cvs = StratifiedShuffleSplit(n_splits=n_rep, test_size=0.2)\n",
+    "\n",
+    "# inner cross-validation scheme\n",
+    "cv_nest = StratifiedKFold(n_splits=3)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "90de0aa7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# check names of parameters for pipeline (for grid search)\n",
+    "print(clf.get_params())\n",
+    "\n",
+    "# quick fix to get coefficients from mlr estimator in pipeline\n",
+    "def get_coef(clf_pipeline):\n",
+    "    return clf_pipeline['mlr'].coef_"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e3f096d7",
+   "metadata": {},
+   "source": [
+    "## Optimization involving the tuning of hyperparameter\n",
+    "\n",
+    "We use `GridSearchCV` to optimize the hyperparameter, the use the best classifier pipeline on the test set and perform recursive feature elimination (RFE) to identify informative features that contribute to the correct classification. The latter gives a ranking where low ranks correspond to informative features."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07cdf8f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# grid search for hyperparameter C\n",
+    "gscv = GridSearchCV(clf,\n",
+    "                    {'mlr__C': Cs},\n",
+    "                    cv=cv_nest)\n",
+    "\n",
+    "acc = pd.DataFrame(columns=['type', 'log C', 'score', 'ranking'])\n",
+    "\n",
+    "# repeat classification\n",
+    "for train_ind, test_ind in cvs.split(X, y):\n",
+    "    \n",
+    "    # optimize hyperparameter\n",
+    "    gscv.fit(X[train_ind,:], y[train_ind])\n",
+    "    clf_best = gscv.best_estimator_\n",
+    "    best_C = gscv.best_params_['mlr__C']\n",
+    "\n",
+    "    # wrap classifier to be fitted to data to calculate the ranking\n",
+    "    feature_select = RFE(clf_best, n_features_to_select=1, step=1,\n",
+    "                         importance_getter=get_coef)\n",
+    "    \n",
+    "    # train and test classifier\n",
+    "    clf_best.fit(X[train_ind,:], y[train_ind])\n",
+    "    score = clf_best.score(X[test_ind,:], y[test_ind])\n",
+    "    # perform RFE\n",
+    "    feature_select.fit(X[train_ind,:], y[train_ind])\n",
+    "    ranking = feature_select.ranking_\n",
+    "    # store results\n",
+    "    d = {'type': ['test'],\n",
+    "         'log C': [np.log10(best_C)], \n",
+    "         'score': [score],\n",
+    "         'ranking': [ranking]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    \n",
+    "    # shuffling\n",
+    "    train_ind_rand = np.random.permutation(train_ind)\n",
+    "\n",
+    "    clf_best.fit(X[train_ind,:], y[train_ind_rand])\n",
+    "    score = clf_best.score(X[test_ind,:], y[test_ind])\n",
+    "    # perform RFE\n",
+    "    feature_select.fit(X[train_ind,:], y[train_ind_rand])\n",
+    "    ranking = feature_select.ranking_\n",
+    "    # store results\n",
+    "    d = {'type': ['shuf'],\n",
+    "         'log C': [np.log10(best_C)], \n",
+    "         'score': [score],\n",
+    "         'ranking': [ranking]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2702e677",
+   "metadata": {},
+   "source": [
+    "Plot the results for accuracy and best parameters."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03237341",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chance_level = 0.5\n",
+    "\n",
+    "plt.figure()\n",
+    "sb.violinplot(data=acc, y='score', x='type', \n",
+    "              palette=['brown','orange'], scale='width')\n",
+    "plt.plot([-1,2], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.tight_layout()\n",
+    "plt.title('train-test accuracies')\n",
+    "\n",
+    "\n",
+    "acc2 = acc[acc['type']=='test']\n",
+    "\n",
+    "plt.figure()\n",
+    "sb.violinplot(data=acc2, y='log C', x='type', \n",
+    "              palette=['orange'], scale='width')\n",
+    "plt.tight_layout()\n",
+    "plt.title('best C (log$_{10}$ scale)')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ef0a315",
+   "metadata": {},
+   "source": [
+    "Plot the ranking obtained from RFE.\n",
+    "\n",
+    "Recall that the inputs are geneterated such that \"the shift across classes linearly depends on the feature index\". This means that inputs with large index should have low (informative) ranking.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e96d2aa6",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "plt.plot(acc['ranking'].mean())\n",
+    "plt.xlabel('input index')\n",
+    "plt.ylabel('mean ranking across CV splits')\n",
+    "plt.tight_layout()\n",
+    "plt.title('ranking of informative features')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "bcf0b3dc",
+   "metadata": {},
+   "source": [
+    "Modify the scaling for the input generation to see how the ranking changes."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/sup_lrn/nb_suplearn_exercise.ipynb b/sup_lrn/nb_suplearn_exercise.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..6ea27b7de3508dd1275b35cd4edfa0e44f415af1
--- /dev/null
+++ b/sup_lrn/nb_suplearn_exercise.ipynb
@@ -0,0 +1,712 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "00cde4c7",
+   "metadata": {},
+   "source": [
+    "This notebook presents the essential basics for classifying simulated and real data (time series)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "8c9c8432",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import librairies\n",
+    "\n",
+    "import numpy as np\n",
+    "import scipy.signal as spsg\n",
+    "import pandas as pd\n",
+    "\n",
+    "from sklearn.model_selection import StratifiedShuffleSplit\n",
+    "from sklearn.linear_model import LogisticRegression\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from sklearn.pipeline import Pipeline, make_pipeline\n",
+    "\n",
+    "%matplotlib inline\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0d12a052",
+   "metadata": {},
+   "source": [
+    "## Generate synthetic data to classify\n",
+    "\n",
+    "We first generate synthetic data with 2 classes to separate (`s0` and `s1` samples, respectively). The input dimensionality corresponds `m` features. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4673d31d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# create synthetic dataset where 2 classes of s0+s1 samples of m-dimensional inputs with controlled contrast\n",
+    "def gen_inputs(m,        # input dimensionality\n",
+    "               s0,       # number of samples for class 0\n",
+    "               s1,       # number of samples for class 1\n",
+    "               scaling): # scaling factor to separate classes\n",
+    "\n",
+    "    # labels\n",
+    "    lbl = np.zeros([s0+s1], dtype=int)\n",
+    "    # inputs\n",
+    "    X = np.zeros([s0+s1,m])\n",
+    "\n",
+    "    # create s0 and s1 samples for the 2 classes\n",
+    "    for i in range(s0+s1):\n",
+    "        # label\n",
+    "        lbl[i] = int(i<s0)\n",
+    "        # inputs are random noise plus a shift\n",
+    "        for j in range(m):\n",
+    "            # positive/negative shift for 1st/2nd class, only for indices j larger than m/2\n",
+    "            if j>=m/2:\n",
+    "                if i<s0:\n",
+    "                    a = -scaling\n",
+    "                else:\n",
+    "                    a = scaling\n",
+    "            else:\n",
+    "                a = 0.0\n",
+    "            # the shift linearly depends on the feature index j\n",
+    "            X[i,j] = a + np.random.randn()\n",
+    "            \n",
+    "    return X, lbl"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2052e9ec-c51e-429a-8ec0-d67eb9ec24ed",
+   "metadata": {},
+   "source": [
+    "Let's have a first look at the data. For features with indices smaller than $m/2$, there is no contrast between the two classes (in red and blue). For indices larger than $m/2$, the contrast is determined by the scaling parameters (separation between the two disributions). Each feature involve independent noise in teh generation of the samples."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "970d0a6e-d894-45f5-a1a0-5752ee222688",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# input properties\n",
+    "m = 10 # input dimensionality\n",
+    "s0 = 50 # number of samples for class 0\n",
+    "s1 = 50 # number of samples for class 1\n",
+    "scaling = 0.5 # class contrast\n",
+    "\n",
+    "# generate inputs\n",
+    "X, y = gen_inputs(m, s0, s1, scaling)\n",
+    "\n",
+    "# bins for istograms\n",
+    "vbins = np.linspace(-3,3,30)\n",
+    "\n",
+    "# plot\n",
+    "plt.figure(figsize=[6,7])\n",
+    "plt.subplot(411)\n",
+    "i = 0\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.legend(['class 0', 'class 1'], fontsize=10)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.subplot(412)\n",
+    "i = int((m-1)*0.33)\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.subplot(413)\n",
+    "i = int((m-1)*0.66)\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.subplot(414)\n",
+    "i = m-1\n",
+    "plt.hist(X[:s0,i], histtype='step', bins=vbins, color='r')\n",
+    "plt.hist(X[s0:,i], histtype='step', bins=vbins, color='b')\n",
+    "plt.axis(xmin=-3, xmax=3)\n",
+    "plt.title('input {}'.format(i), loc='left')\n",
+    "plt.xlabel('X values')\n",
+    "plt.tight_layout()\n",
+    "plt.savefig('ex_contrast_X')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6a2acd15-fd80-4c3a-89ea-fb54b95f15a7",
+   "metadata": {},
+   "source": [
+    "We can also generate a different representation for all inputs with colors to indicate the two distributions, red versus blue. Here, purple indicates that the two distirbutions overlap."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "c6b6143f-6c02-49ec-b7dc-ca3793c70bc7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# create matrix rgb\n",
+    "mat_rgb = np.zeros([m, vbins.size-1, 3])\n",
+    "for i in range(m):\n",
+    "    mat_rgb[i,:,0] = np.histogram(X[:s0,i], bins=vbins)[0]\n",
+    "    mat_rgb[i,:,2] = np.histogram(X[s0:,i], bins=vbins)[0]\n",
+    "mat_rgb /= mat_rgb.max() / 2.0\n",
+    "\n",
+    "plt.figure(figsize=[6,7])\n",
+    "plt.imshow(mat_rgb)\n",
+    "plt.xlabel('values')\n",
+    "plt.ylabel('input index')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a2b44140-a4fb-4f9c-9fd1-ff3934a61c3c",
+   "metadata": {},
+   "source": [
+    "We see that low indices (first half from $0$ to $4$) correspond to overlapping distributions between the two classes. In contrast, high indices (second half from $5$ to $9$) correspond to separate distributions, meaning they are potentially informative to discriminate the classes in a classification context.\n",
+    "\n",
+    "As shown below, the left half of vertical columns in the matrix (sample, feature) have similar values for the red and blue classes (top and bottom half of rows, respectively). However, the right columns show differentiated values for the two classes: lower values for the red class than for the blue class. Importantly, note that these data involve noise: for each sample, not the same input feature (among high indices) allows for a clear prediction of the class of the sample. The goal of classification is to extract the relevant information to perform the classification."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "e1d2470e-44a2-4fbd-834e-e898eb7f649b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.figure(figsize=[8,6])\n",
+    "plt.axes([0.2,0.2,0.55,0.7])\n",
+    "plt.imshow(X, aspect=0.2, interpolation='nearest')\n",
+    "plt.xlabel('feature')\n",
+    "plt.ylabel('sample')\n",
+    "plt.axes([0.6,0.2,0.3,0.7])\n",
+    "plt.imshow(y.reshape([s0+s1,1]), aspect=0.2, interpolation='nearest', cmap='bwr')\n",
+    "plt.xticks([0],[' '])\n",
+    "plt.xlabel('label')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9089a6d5-ff78-4c1c-9bd0-add0f7997e43",
+   "metadata": {},
+   "source": [
+    "## Cross-validation and train-test splitting\n",
+    "\n",
+    "Cross-validation consists in separating the whole dataset in two sets: a training set that is used to train the classifier, a testing set to evaluate the performance of the classifier. In essence, this amounts to dividing the sample indices in two subsets. Typically, when enough samples are available, the test set can be set to 20% of the whole dataset, while the 80% remaining samples are used for training."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "1187b5f5-1078-4241-83d3-1717edac5ee1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# number of split repetitions\n",
+    "n_rep = 10\n",
+    "\n",
+    "# outer cross-validation scheme\n",
+    "cvs = StratifiedShuffleSplit(n_splits=n_rep, test_size=0.2)\n",
+    "\n",
+    "# repeat classification\n",
+    "cnt = 0\n",
+    "for train_ind, test_ind in cvs.split(X, y):\n",
+    "    print('split {}:\\n  train indices: {} \\n  test indices: {} \\n'.format(cnt, train_ind, test_ind))\n",
+    "    cnt += 1"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0024c6aa",
+   "metadata": {},
+   "source": [
+    "## Classifier, parameterization and training\n",
+    "\n",
+    "We build a pipeline for the classifier, here the [logistic regression](https://scikit-learn.org/stable/modules/generated/sklearn.linear_model.LogisticRegression.html). As many classifiers, the logistic regression takes some parameters involved in its design and training. Here we just set the value for `C` that governs the regularization of the training, meaning how many features are going to be retained for the classification: lower values implies a sparser distribution of weights after training, that is many weights close to zero and only a few non-weights that correspond to informative features efficively used by the classificier.\n",
+    "\n",
+    "To assess whether the classifier is efficient, one can shuffle the labels for training such as to train the classifier with \"noise\" and obtain random prediction on the test set, resulting in chance-level accuracy perform by a \"random\" classifier.\n",
+    "\n",
+    "In practice, we store all those accuracies in a dataframe from the `pandas` library, which is useful to later plot them using the `seaborn` library."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6f2a4e24",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# default value fhyperparameter for regularization\n",
+    "C = 1.0\n",
+    "\n",
+    "# classifier in pipeline and wrapper for RFE\n",
+    "clf = Pipeline([('scl',StandardScaler()),\n",
+    "                ('mlr',LogisticRegression(C=C))])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "07cdf8f2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# results: accuracy and trained weights\n",
+    "acc = pd.DataFrame(columns=['type', 'score'])\n",
+    "weights = pd.DataFrame(columns=['type', 'feat_idx', 'value'])\n",
+    "\n",
+    "# repeat classification\n",
+    "for train_ind, test_ind in cvs.split(X, y):\n",
+    "    \n",
+    "    # train the classifier\n",
+    "    clf.fit(X[train_ind,:], y[train_ind])\n",
+    "    # accuracy on train set\n",
+    "    score = clf.score(X[train_ind,:], y[train_ind])\n",
+    "    d = {'type': ['train'],\n",
+    "         'score': [score]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    # accuracy on test set\n",
+    "    score = clf.score(X[test_ind,:], y[test_ind])\n",
+    "    d = {'type': ['test'],\n",
+    "         'score': [score]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    # trained weights\n",
+    "    for idx in range(m):\n",
+    "        d = {'type': ['train'],\n",
+    "             'feat_idx': [idx],\n",
+    "             'value': [clf[-1].coef_[0,idx]]}\n",
+    "        weights = pd.concat((weights, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    \n",
+    "    # shuffling labels to evaluate the chance-level classification, retrain and test\n",
+    "    train_ind_rand = np.random.permutation(train_ind)\n",
+    "    clf.fit(X[train_ind,:], y[train_ind_rand])\n",
+    "    score = clf.score(X[test_ind,:], y[test_ind])\n",
+    "    d = {'type': ['shuf'],\n",
+    "         'score': [score]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    # trained weights\n",
+    "    for idx in range(m):\n",
+    "        d = {'type': ['shuf'],\n",
+    "             'feat_idx': [idx],\n",
+    "             'value': [clf[-1].coef_[0,idx]]}\n",
+    "        weights = pd.concat((weights, pd.DataFrame(data=d)), ignore_index=True)\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2702e677",
+   "metadata": {},
+   "source": [
+    "When plotting the accuracy results, we see that the classifier performs very well on the training set as illustrated by the accuracy in brown. In comparison the accuracy on the testing set in orange is lower, but still way above the chance level in gray (for the scaling factor of $0.7$ used in generating the samples). The comparison between these three accuracy distributions (because we use several repetitions of the splitting scheme) provides a quantitative manner to understand whether the classifier training is successful. A more complete check-up would consider the evolution of these accuracies during the iterative training of the classifier.\n",
+    "\n",
+    "Here we have two classes with the same number of samples in each, so the chance-level is in theory 50%. The point of evaluating the chance level from the data is to quantify the variability of the corresponding accuracy."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "03237341",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "chance_level = 0.5\n",
+    "\n",
+    "plt.figure()\n",
+    "sb.violinplot(data=acc, y='score', x='type', hue='type', cut=1.0,\n",
+    "              palette=['brown','orange','gray'], density_norm='width', inner=None, legend=False)\n",
+    "sb.swarmplot(data=acc, y='score', x='type', hue='type',\n",
+    "              palette=['black','black','black'])\n",
+    "plt.plot([-1,3], [chance_level]*2, '--k')\n",
+    "plt.yticks([0,1])\n",
+    "plt.xlabel('')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.tight_layout()\n",
+    "plt.title('train-test accuracies')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4dead486-aa61-42fe-af61-12862fce1100",
+   "metadata": {},
+   "source": [
+    "The `weights` dataframe has to the trained weights for the classifier in the two conditions ('train' and 'shuf'), together with the index of the feature. We can plot them to see which features are used by the trained classifier, indicating informative features.\n",
+    "\n",
+    "We indeed see large weights (in absolute value) for high features indices and small weights for low feature indices for the trained classifier. In contrast, the classifier trained with shuffled labels has all weights close to zero, indicating an absence of specialization."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "0427e876-3a2d-4df4-9c7f-3105e8ca339d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "sb.lineplot(data=weights, y='value', x='feat_idx', hue='type')\n",
+    "plt.xlabel('feature index')\n",
+    "plt.ylabel('weight value')\n",
+    "plt.tight_layout()\n",
+    "plt.title('trained weights', fontsize=16)\n",
+    "plt.legend(fontsize=14, loc='lower left')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c0f55fdc-d11a-4188-9e3a-3d793431ed54",
+   "metadata": {},
+   "source": [
+    "## Exercices:\n",
+    "- modify the values of the scaling factor that determines the contrast between the two classes in order to see the effect on the accuracies\n",
+    "- modify the value of the regularization parameter to see the effect of the trained weights"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c1a21e3-2c50-4b45-822b-d24d3625995a",
+   "metadata": {},
+   "source": [
+    "## Application to real data: fMRI time series\n",
+    "\n",
+    "We load the data: fMRI/BOLD signals that are proxies for the neuronal activity of (large) brain regions over time."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dbc3ff80-ab06-4a75-826c-e5a0525f59d1",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "ts = np.load('ts_fMRI_movie.npy')\n",
+    "\n",
+    "print('shape of data array:', ts.shape)\n",
+    "print('order of dimensions: run, region, time')\n",
+    "\n",
+    "n = ts.shape[0] # number of samples\n",
+    "N = ts.shape[1] # number of regions\n",
+    "T = ts.shape[2] # number of time points"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2166814f-b38d-4cdc-a6bb-8f77204b67b6",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# claening data\n",
+    "\n",
+    "# time resolution for fMRI signals (in seconds)\n",
+    "TR = 2.0\n",
+    "\n",
+    "# filter the fMRI/BOLD signals between 0.01 and 0.2 Hz (for detrending)\n",
+    "n_order = 3\n",
+    "Nyquist_freq = 0.5 / TR\n",
+    "low_f = 0.01 / Nyquist_freq\n",
+    "high_f = 0.2 / Nyquist_freq\n",
+    "b,a = spsg.iirfilter(n_order, [low_f,high_f], btype='bandpass', ftype='butter')\n",
+    "\n",
+    "filtered_ts = spsg.filtfilt(b,a,ts, axis=-1)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6f453b1c-0c4f-4a2f-9a90-a12bdbb347eb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# index of fMRI run (or session)\n",
+    "i_run = 0\n",
+    "\n",
+    "# visualise the BOLD signals\n",
+    "plt.figure()\n",
+    "plt.plot(range(T),ts[i_run,:,:].T)\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('region activity')\n",
+    "plt.title('unfiltered BOLD signals')\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.plot(range(T),filtered_ts[i_run,:,:].T)\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('region activity')\n",
+    "plt.title('filtered BOLD signals')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0ed14a58-15f5-4417-89de-684e65e198bf",
+   "metadata": {},
+   "source": [
+    "There are 110 runs in the dataset: 5 runs for 22 subjects. For each subject, the first two runs are resting state, the three others are passive movie viewing. Let's see if we can disriminate the two types of behavioral sessions from the recorded brain activity. For this, we need to define labels for the classification. Labels are integers that represent a class, here $0$ for resting state and $1$ for movie viewing."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "33de711c-f950-4d04-862f-c6ece5649d83",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "n_sub = 22 # number of subjects\n",
+    "n_run = 5 # number of fMRI runs\n",
+    "\n",
+    "labels = np.zeros([n_sub,n_run], dtype=int)\n",
+    "for i_sub in range(n_sub):\n",
+    "    for i_run in range(n_run):\n",
+    "        labels[i_sub,i_run] = int(i_run>=2)\n",
+    "        \n",
+    "# vectorize the labels to match the 110 samples: careful, the order of the dimensions of the matrix (subjects,runs) is important here; doing the same with (runs,subjects) would fail\n",
+    "labels = labels.flatten()\n",
+    "print(labels.shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "594f9b80-31eb-49e8-bc0e-aa96fad95d58",
+   "metadata": {},
+   "source": [
+    "To feed the classifier, we need to transform our data in a vector of features. We try three manners:\n",
+    "- we concatenate all times series, meaning that the activity at each time point for a region has different values in the two conditions\n",
+    "- we calculate the mean activity value over time for each region, meaning that regions may have higher activity on average during the run in one of the two conditions\n",
+    "- we calculate the correlation over time for all pairs of regions, meaning that regions are more or less \"synchronized\" in the two conditions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "f3565bec-0949-42b8-9a88-d9b6ac33d314",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# concatenate the time series by reshaping the array: this converts the two dimensions (region, time) into a single one\n",
+    "concat_feat = filtered_ts.reshape([n,-1])\n",
+    "\n",
+    "# calculate the mean activity over time\n",
+    "mean_feat = np.mean(filtered_ts, axis=2)\n",
+    "\n",
+    "# calculate the correlation over time; here we only retain half of the correlation matrix (the lower triangle) for each sample because the matrix is symmetric\n",
+    "mask_tri = np.tri(N,N,-1,dtype=bool)\n",
+    "corr_feat = np.zeros([n,mask_tri.sum()])\n",
+    "# loop over all samples: we calculate the correlation matrix of the times series and vectorize using the boolean mask\n",
+    "for i in range(n):\n",
+    "    tmp_corr = np.corrcoef(filtered_ts[i,:,:], rowvar=True)\n",
+    "    corr_feat[i,:] = tmp_corr[mask_tri]\n",
+    "    \n",
+    "# print the shapes of the data for each transformation: note the disctint number of features\n",
+    "print(concat_feat.shape)\n",
+    "print(mean_feat.shape)\n",
+    "print(corr_feat.shape)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8ea1e8a2-3bc9-46d8-8a0e-35792512bc87",
+   "metadata": {},
+   "source": [
+    "Let's plot for example the matrix with mean activity as features. We see that some regions (columns) have modulation of mean activity. We can reorder the samples to see it more clearly."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "b4ac6135-2e53-4630-9029-6566536e1a9a",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.figure(figsize=[8,6])\n",
+    "plt.axes([0.2,0.2,0.55,0.7])\n",
+    "plt.imshow(mean_feat, aspect=1.0, interpolation='nearest')\n",
+    "plt.xlabel('feature')\n",
+    "plt.ylabel('sample')\n",
+    "plt.axes([0.6,0.2,0.3,0.7])\n",
+    "plt.imshow(labels.reshape([n,1]), aspect=0.2, interpolation='nearest', cmap='bwr')\n",
+    "plt.xticks([0],[' '])\n",
+    "plt.xlabel('label')\n",
+    "\n",
+    "# reordering of samples\n",
+    "rest_idx = labels==0\n",
+    "movie_idx = labels==1\n",
+    "reorder_mean_feat = np.vstack((mean_feat[rest_idx,:],mean_feat[movie_idx,:]))\n",
+    "reorder_labels = np.hstack((labels[rest_idx],labels[movie_idx]))\n",
+    "\n",
+    "plt.figure(figsize=[8,6])\n",
+    "plt.axes([0.2,0.2,0.55,0.7])\n",
+    "plt.imshow(reorder_mean_feat, aspect=1.0, interpolation='nearest')\n",
+    "plt.xlabel('feature')\n",
+    "plt.ylabel('sample')\n",
+    "plt.axes([0.6,0.2,0.3,0.7])\n",
+    "plt.imshow(reorder_labels.reshape([n,1]), aspect=0.2, interpolation='nearest', cmap='bwr')\n",
+    "plt.xticks([0],[' '])\n",
+    "plt.xlabel('label')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e6c68c00-3c81-4497-a37e-02ddbd8bdd4f",
+   "metadata": {},
+   "source": [
+    "Now we are ready to try the classification on each type of feature."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5ef08949-71b6-4445-afcb-f5b824bb950b",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# results: accuracy and trained weights\n",
+    "acc = pd.DataFrame(columns=['feature', 'score'])\n",
+    "\n",
+    "# get labels\n",
+    "y = labels\n",
+    "\n",
+    "# repeat classification\n",
+    "for train_ind, test_ind in cvs.split(y, y): # here note that only the number of samples is used for the splitting, so we can use the labels y only for the splitting\n",
+    "    \n",
+    "    # get concatenated time series as features\n",
+    "    X = concat_feat\n",
+    "    # train the classifier and evaluate accuracy on test set\n",
+    "    clf.fit(X[train_ind,:], y[train_ind])\n",
+    "    score = clf.score(X[test_ind,:], y[test_ind])\n",
+    "    d = {'feature': ['concat'],\n",
+    "         'score': [score]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    \n",
+    "    # get mean activity as features\n",
+    "    X = mean_feat\n",
+    "    # train the classifier and evaluate accuracy on test set\n",
+    "    clf.fit(X[train_ind,:], y[train_ind])\n",
+    "    score = clf.score(X[test_ind,:], y[test_ind])\n",
+    "    d = {'feature': ['mean'],\n",
+    "         'score': [score]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)\n",
+    "    \n",
+    "    # get vectorized correlations as features\n",
+    "    X = corr_feat\n",
+    "    # train the classifier and evaluate accuracy on test set\n",
+    "    clf.fit(X[train_ind,:], y[train_ind])\n",
+    "    score = clf.score(X[test_ind,:], y[test_ind])\n",
+    "    d = {'feature': ['corr'],\n",
+    "         'score': [score]}\n",
+    "    acc = pd.concat((acc, pd.DataFrame(data=d)), ignore_index=True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "7125acea-740a-4f0c-84f4-ef031fc1dd24",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "plt.figure()\n",
+    "sb.violinplot(data=acc, y='score', x='feature', hue='feature', cut=0.0,\n",
+    "              palette=['cyan','blue','purple'], density_norm='width', legend=False)\n",
+    "sb.swarmplot(data=acc, y='score', x='feature', hue='feature',\n",
+    "              palette=['gray','gray','gray'])\n",
+    "plt.yticks([0,1])\n",
+    "plt.axis(ymax=1.05)\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.tight_layout()\n",
+    "plt.title('train-test accuracies')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0798acd1-08fd-4f48-bd1f-4a4e8f2bda0d",
+   "metadata": {},
+   "source": [
+    "These results indicate that the time series have reliable profiles across time, which comes from the fact that specific visual scenes during the movie induce similar transient activity patterns in all subjects. The mean activity is less informative, but the correlation yields perfect classification.\n",
+    "\n",
+    "Now we have'nt defined the chance level here, so we don't have a reference to compare each classification type to its own reference as before with teh synthetic data."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d18f6bbd-d53e-49ba-858c-44c72bc8bf25",
+   "metadata": {},
+   "source": [
+    "## Exercises:\n",
+    "- evaluate the chance-level accuracy for each feature type\n",
+    "- check the profile of informative weights\n",
+    "- try to predict the subject identity instead of the behavioral conditions (modify the labels)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tm_srs/environment.yml b/tm_srs/environment.yml
new file mode 100644
index 0000000000000000000000000000000000000000..6e9cabe0900a2194beba7015f23dc02c2b32632a
--- /dev/null
+++ b/tm_srs/environment.yml
@@ -0,0 +1,8 @@
+name: sktime
+channels:
+  - conda-forge
+dependencies:
+  - jupyterlab
+  - sktime
+  - matplotlib
+
diff --git a/tm_srs/test_BOSS.ipynb b/tm_srs/test_BOSS.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..59076896402db666998b9f0bdf0964bffa5a8f0b
--- /dev/null
+++ b/tm_srs/test_BOSS.ipynb
@@ -0,0 +1,160 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7f795133",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from scipy.io import arff\n",
+    "\n",
+    "from sktime.datasets import load_from_arff_to_dataframe, load_basic_motions\n",
+    "from sktime.classification.dictionary_based import BOSSEnsemble\n",
+    "\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "04f19b56",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# load time series and labels\n",
+    "X_train, y_train = load_from_arff_to_dataframe('FordA/FordA_TRAIN.arff')\n",
+    "X_test, y_test = load_from_arff_to_dataframe('FordA/FordA_TEST.arff')\n",
+    "#X, y = load_from_arff_to_dataframe('Ford/FordA_TRAIN.arff')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "f9a0b4f5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "[<matplotlib.lines.Line2D at 0x7fef664dc8e0>]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.plot(X_train.iloc[0,0])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b23b1bbb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "ename": "KeyboardInterrupt",
+     "evalue": "",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m                         Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[5], line 3\u001b[0m\n\u001b[1;32m      1\u001b[0m \u001b[38;5;66;03m# train rocket\u001b[39;00m\n\u001b[1;32m      2\u001b[0m bosse \u001b[38;5;241m=\u001b[39m BOSSEnsemble()\n\u001b[0;32m----> 3\u001b[0m \u001b[43mbosse\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mfit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX_train\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my_train\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/sktime/classification/base.py:204\u001b[0m, in \u001b[0;36mBaseClassifier.fit\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m    199\u001b[0m         \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mAttributeError\u001b[39;00m(\n\u001b[1;32m    200\u001b[0m             \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mself.n_jobs must be set if capability:multithreading is True\u001b[39m\u001b[38;5;124m\"\u001b[39m\n\u001b[1;32m    201\u001b[0m         )\n\u001b[1;32m    203\u001b[0m \u001b[38;5;66;03m# pass coerced and checked data to inner _fit\u001b[39;00m\n\u001b[0;32m--> 204\u001b[0m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_fit\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    205\u001b[0m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mfit_time_ \u001b[38;5;241m=\u001b[39m \u001b[38;5;28mint\u001b[39m(\u001b[38;5;28mround\u001b[39m(time\u001b[38;5;241m.\u001b[39mtime() \u001b[38;5;241m*\u001b[39m \u001b[38;5;241m1000\u001b[39m)) \u001b[38;5;241m-\u001b[39m start\n\u001b[1;32m    207\u001b[0m \u001b[38;5;66;03m# this should happen last\u001b[39;00m\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/sktime/classification/dictionary_based/_boss.py:240\u001b[0m, in \u001b[0;36mBOSSEnsemble._fit\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m    237\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m n \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m \u001b[38;5;129;01mand\u001b[39;00m word_len \u001b[38;5;241m<\u001b[39m boss\u001b[38;5;241m.\u001b[39m_transformer\u001b[38;5;241m.\u001b[39mword_length:\n\u001b[1;32m    238\u001b[0m     boss \u001b[38;5;241m=\u001b[39m boss\u001b[38;5;241m.\u001b[39m_shorten_bags(word_len, y)\n\u001b[0;32m--> 240\u001b[0m boss\u001b[38;5;241m.\u001b[39m_accuracy \u001b[38;5;241m=\u001b[39m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_individual_train_acc\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    241\u001b[0m \u001b[43m    \u001b[49m\u001b[43mboss\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43my\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_instances_\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mbest_acc_for_win_size\u001b[49m\n\u001b[1;32m    242\u001b[0m \u001b[43m\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    244\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m boss\u001b[38;5;241m.\u001b[39m_accuracy \u001b[38;5;241m>\u001b[39m\u001b[38;5;241m=\u001b[39m best_acc_for_win_size:\n\u001b[1;32m    245\u001b[0m     best_acc_for_win_size \u001b[38;5;241m=\u001b[39m boss\u001b[38;5;241m.\u001b[39m_accuracy\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/sktime/classification/dictionary_based/_boss.py:400\u001b[0m, in \u001b[0;36mBOSSEnsemble._individual_train_acc\u001b[0;34m(self, boss, y, train_size, lowest_acc)\u001b[0m\n\u001b[1;32m    398\u001b[0m \u001b[38;5;66;03m# there may be no words if feature selection is too aggressive\u001b[39;00m\n\u001b[1;32m    399\u001b[0m \u001b[38;5;28;01mif\u001b[39;00m boss\u001b[38;5;241m.\u001b[39m_transformed_data\u001b[38;5;241m.\u001b[39mshape[\u001b[38;5;241m1\u001b[39m] \u001b[38;5;241m>\u001b[39m \u001b[38;5;241m0\u001b[39m:\n\u001b[0;32m--> 400\u001b[0m     distance_matrix \u001b[38;5;241m=\u001b[39m \u001b[43mpairwise_distances\u001b[49m\u001b[43m(\u001b[49m\n\u001b[1;32m    401\u001b[0m \u001b[43m        \u001b[49m\u001b[43mboss\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_transformed_data\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    402\u001b[0m \u001b[43m        \u001b[49m\u001b[43muse_boss_distance\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43muse_boss_distance\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    403\u001b[0m \u001b[43m        \u001b[49m\u001b[43mn_jobs\u001b[49m\u001b[38;5;241;43m=\u001b[39;49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mn_jobs\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    404\u001b[0m \u001b[43m    \u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    406\u001b[0m     \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(train_size):\n\u001b[1;32m    407\u001b[0m         \u001b[38;5;28;01mif\u001b[39;00m correct \u001b[38;5;241m+\u001b[39m train_size \u001b[38;5;241m-\u001b[39m i \u001b[38;5;241m<\u001b[39m required_correct:\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/sktime/classification/dictionary_based/_boss.py:711\u001b[0m, in \u001b[0;36mpairwise_distances\u001b[0;34m(X, Y, use_boss_distance, n_jobs)\u001b[0m\n\u001b[1;32m    709\u001b[0m     \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    710\u001b[0m         \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(\u001b[38;5;28mlen\u001b[39m(distance_matrix)):\n\u001b[0;32m--> 711\u001b[0m             distance_matrix[i] \u001b[38;5;241m=\u001b[39m \u001b[43mboss_distance\u001b[49m\u001b[43m(\u001b[49m\u001b[43mX\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mY\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mi\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mXX_row_norms\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mXY\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    713\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    714\u001b[0m     distance_matrix \u001b[38;5;241m=\u001b[39m pairwise\u001b[38;5;241m.\u001b[39mpairwise_distances(X, Y, n_jobs\u001b[38;5;241m=\u001b[39mn_jobs)\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/sktime/classification/dictionary_based/_boss.py:759\u001b[0m, in \u001b[0;36mboss_distance\u001b[0;34m(X, Y, i, XX_all, XY_all)\u001b[0m\n\u001b[1;32m    756\u001b[0m \u001b[38;5;28;01melse\u001b[39;00m:\n\u001b[1;32m    757\u001b[0m     XY \u001b[38;5;241m=\u001b[39m XY_all[i]\n\u001b[0;32m--> 759\u001b[0m YY \u001b[38;5;241m=\u001b[39m csr_row_norms(\u001b[43mY\u001b[49m\u001b[43m[\u001b[49m\u001b[43m:\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mmask\u001b[49m\u001b[43m]\u001b[49m)\n\u001b[1;32m    760\u001b[0m A \u001b[38;5;241m=\u001b[39m XX \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m*\u001b[39m XY \u001b[38;5;241m+\u001b[39m YY\n\u001b[1;32m    761\u001b[0m np\u001b[38;5;241m.\u001b[39mmaximum(A, \u001b[38;5;241m0\u001b[39m, out\u001b[38;5;241m=\u001b[39mA)\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/scipy/sparse/_index.py:71\u001b[0m, in \u001b[0;36mIndexMixin.__getitem__\u001b[0;34m(self, key)\u001b[0m\n\u001b[1;32m     69\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m_get_sliceXslice(row, col)\n\u001b[1;32m     70\u001b[0m     \u001b[38;5;28;01melif\u001b[39;00m col\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n\u001b[0;32m---> 71\u001b[0m         \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_get_sliceXarray\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcol\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m     72\u001b[0m     \u001b[38;5;28;01mraise\u001b[39;00m \u001b[38;5;167;01mIndexError\u001b[39;00m(\u001b[38;5;124m'\u001b[39m\u001b[38;5;124mindex results in >2 dimensions\u001b[39m\u001b[38;5;124m'\u001b[39m)\n\u001b[1;32m     73\u001b[0m \u001b[38;5;28;01melif\u001b[39;00m row\u001b[38;5;241m.\u001b[39mndim \u001b[38;5;241m==\u001b[39m \u001b[38;5;241m1\u001b[39m:\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/scipy/sparse/_csr.py:321\u001b[0m, in \u001b[0;36mcsr_matrix._get_sliceXarray\u001b[0;34m(self, row, col)\u001b[0m\n\u001b[1;32m    320\u001b[0m \u001b[38;5;28;01mdef\u001b[39;00m \u001b[38;5;21m_get_sliceXarray\u001b[39m(\u001b[38;5;28mself\u001b[39m, row, col):\n\u001b[0;32m--> 321\u001b[0m     \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_major_slice\u001b[49m\u001b[43m(\u001b[49m\u001b[43mrow\u001b[49m\u001b[43m)\u001b[49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43m_minor_index_fancy\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcol\u001b[49m\u001b[43m)\u001b[49m\n",
+      "File \u001b[0;32m~/.conda/envs/sktime/lib/python3.10/site-packages/scipy/sparse/_compressed.py:777\u001b[0m, in \u001b[0;36m_cs_matrix._minor_index_fancy\u001b[0;34m(self, idx)\u001b[0m\n\u001b[1;32m    775\u001b[0m res_indices \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mempty(nnz, dtype\u001b[38;5;241m=\u001b[39midx_dtype)\n\u001b[1;32m    776\u001b[0m res_data \u001b[38;5;241m=\u001b[39m np\u001b[38;5;241m.\u001b[39mempty(nnz, dtype\u001b[38;5;241m=\u001b[39m\u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39mdtype)\n\u001b[0;32m--> 777\u001b[0m \u001b[43mcsr_column_index2\u001b[49m\u001b[43m(\u001b[49m\u001b[43mcol_order\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mcol_offsets\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mlen\u001b[39;49m\u001b[43m(\u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindices\u001b[49m\u001b[43m)\u001b[49m\u001b[43m,\u001b[49m\n\u001b[1;32m    778\u001b[0m \u001b[43m                  \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mindices\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;28;43mself\u001b[39;49m\u001b[38;5;241;43m.\u001b[39;49m\u001b[43mdata\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mres_indices\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[43mres_data\u001b[49m\u001b[43m)\u001b[49m\n\u001b[1;32m    779\u001b[0m \u001b[38;5;28;01mreturn\u001b[39;00m \u001b[38;5;28mself\u001b[39m\u001b[38;5;241m.\u001b[39m\u001b[38;5;18m__class__\u001b[39m((res_data, res_indices, res_indptr),\n\u001b[1;32m    780\u001b[0m                       shape\u001b[38;5;241m=\u001b[39mnew_shape, copy\u001b[38;5;241m=\u001b[39m\u001b[38;5;28;01mFalse\u001b[39;00m)\n",
+      "\u001b[0;31mKeyboardInterrupt\u001b[0m: "
+     ]
+    }
+   ],
+   "source": [
+    "# train rocket\n",
+    "bosse = BOSSEnsemble()\n",
+    "bosse.fit(X_train, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "3872292c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "bosse.score(X_test, y_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "958c012c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array(['-1', '1'], dtype='<U2')"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "np.unique(y_test)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tm_srs/test_classif_data.ipynb b/tm_srs/test_classif_data.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..92fda65ff751bf74a068f4c8260c34392470151a
--- /dev/null
+++ b/tm_srs/test_classif_data.ipynb
@@ -0,0 +1,871 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "349c8bc6-1a18-4fe2-869c-5581df684b1c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "\n",
+    "from sktime.datasets import load_from_arff_to_dataframe\n",
+    "\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "47021efb-21dc-4ed2-8375-de1355344a16",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "#dataset = 'FordA'\n",
+    "dataset = 'Cricket'\n",
+    "#dataset = 'Phoneme'\n",
+    "\n",
+    "X_train, y_train = load_from_arff_to_dataframe('{0}/{0}_TRAIN.arff'.format(dataset))\n",
+    "X_test, y_test = load_from_arff_to_dataframe('{0}/{0}_TEST.arff'.format(dataset))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "a6bc3926-de0a-4967-9b00-b66a5a64bd9f",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>dim_0</th>\n",
+       "      <th>dim_1</th>\n",
+       "      <th>dim_2</th>\n",
+       "      <th>dim_3</th>\n",
+       "      <th>dim_4</th>\n",
+       "      <th>dim_5</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0      -0.97211\n",
+       "1      -0.95768\n",
+       "2      -0.9590...</td>\n",
+       "      <td>0      -0.23077\n",
+       "1      -0.23077\n",
+       "2      -0.2307...</td>\n",
+       "      <td>0      -0.46863\n",
+       "1      -0.43983\n",
+       "2      -0.4513...</td>\n",
+       "      <td>0      -0.57729\n",
+       "1      -0.75975\n",
+       "2      -0.8011...</td>\n",
+       "      <td>0       0.29993\n",
+       "1       0.31719\n",
+       "2       0.3309...</td>\n",
+       "      <td>0      -0.44158\n",
+       "1      -0.40136\n",
+       "2      -0.3933...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0      -0.55916\n",
+       "1      -0.57613\n",
+       "2      -0.5744...</td>\n",
+       "      <td>0       0.12995\n",
+       "1       0.14897\n",
+       "2       0.1413...</td>\n",
+       "      <td>0      -0.99312\n",
+       "1      -0.95117\n",
+       "2      -0.9308...</td>\n",
+       "      <td>0      -0.24143\n",
+       "1      -0.38224\n",
+       "2      -0.4104...</td>\n",
+       "      <td>0      -0.22331\n",
+       "1      -0.18323\n",
+       "2      -0.1872...</td>\n",
+       "      <td>0      -0.79640\n",
+       "1      -0.81046\n",
+       "2      -0.8048...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>0      -0.78485\n",
+       "1      -0.78446\n",
+       "2      -0.7935...</td>\n",
+       "      <td>0      -0.32027\n",
+       "1      -0.29877\n",
+       "2      -0.2815...</td>\n",
+       "      <td>0      -0.39569\n",
+       "1      -0.29069\n",
+       "2      -0.2479...</td>\n",
+       "      <td>0      -0.53043\n",
+       "1      -0.68746\n",
+       "2      -0.7188...</td>\n",
+       "      <td>0       0.64289\n",
+       "1       0.62076\n",
+       "2       0.6296...</td>\n",
+       "      <td>0      -0.48720\n",
+       "1      -0.44357\n",
+       "2      -0.4348...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>0      -0.70080\n",
+       "1      -0.68210\n",
+       "2      -0.6839...</td>\n",
+       "      <td>0      -0.57372\n",
+       "1      -0.54957\n",
+       "2      -0.5302...</td>\n",
+       "      <td>0      -0.32570\n",
+       "1      -0.32691\n",
+       "2      -0.3126...</td>\n",
+       "      <td>0      -0.44791\n",
+       "1      -0.63497\n",
+       "2      -0.6723...</td>\n",
+       "      <td>0       0.74769\n",
+       "1       0.72631\n",
+       "2       0.7220...</td>\n",
+       "      <td>0      -0.56643\n",
+       "1      -0.52063\n",
+       "2      -0.4839...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>0      -0.79512\n",
+       "1      -0.79550\n",
+       "2      -0.7909...</td>\n",
+       "      <td>0      -0.329290\n",
+       "1      -0.329290\n",
+       "2      -0.34...</td>\n",
+       "      <td>0      -0.25589\n",
+       "1      -0.18936\n",
+       "2      -0.1760...</td>\n",
+       "      <td>0      -0.51456\n",
+       "1      -0.68967\n",
+       "2      -0.7246...</td>\n",
+       "      <td>0       0.72843\n",
+       "1       0.70688\n",
+       "2       0.7155...</td>\n",
+       "      <td>0      -0.49223\n",
+       "1      -0.46859\n",
+       "2      -0.4780...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>103</th>\n",
+       "      <td>0      -0.72190\n",
+       "1      -0.70269\n",
+       "2      -0.6988...</td>\n",
+       "      <td>0      -0.81529\n",
+       "1      -0.81529\n",
+       "2      -0.8152...</td>\n",
+       "      <td>0      -0.87285\n",
+       "1      -0.87285\n",
+       "2      -0.8514...</td>\n",
+       "      <td>0      -0.37702\n",
+       "1      -0.37702\n",
+       "2      -0.4427...</td>\n",
+       "      <td>0       0.63025\n",
+       "1       0.63025\n",
+       "2       0.6302...</td>\n",
+       "      <td>0      -1.05350\n",
+       "1      -1.03040\n",
+       "2      -1.0257...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104</th>\n",
+       "      <td>0      -0.73562\n",
+       "1      -0.71582\n",
+       "2      -0.7234...</td>\n",
+       "      <td>0      -0.84899\n",
+       "1      -0.84899\n",
+       "2      -0.8489...</td>\n",
+       "      <td>0      -0.78436\n",
+       "1      -0.81591\n",
+       "2      -0.7853...</td>\n",
+       "      <td>0      -0.37930\n",
+       "1      -0.61525\n",
+       "2      -0.6624...</td>\n",
+       "      <td>0       0.97950\n",
+       "1       0.94276\n",
+       "2       0.9354...</td>\n",
+       "      <td>0      -1.12200\n",
+       "1      -0.99178\n",
+       "2      -0.9497...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>105</th>\n",
+       "      <td>0      -0.57233\n",
+       "1      -0.55274\n",
+       "2      -0.5608...</td>\n",
+       "      <td>0      -0.87475\n",
+       "1      -0.79615\n",
+       "2      -0.6377...</td>\n",
+       "      <td>0      -1.17640\n",
+       "1      -1.14060\n",
+       "2      -1.1334...</td>\n",
+       "      <td>0      -0.30133\n",
+       "1      -0.44786\n",
+       "2      -0.5336...</td>\n",
+       "      <td>0       0.91888\n",
+       "1       0.92101\n",
+       "2       0.8205...</td>\n",
+       "      <td>0      -1.03600\n",
+       "1      -1.08360\n",
+       "2      -1.0499...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>106</th>\n",
+       "      <td>0      -0.55444\n",
+       "1      -0.56440\n",
+       "2      -0.5601...</td>\n",
+       "      <td>0      -0.37465\n",
+       "1      -0.41956\n",
+       "2      -0.4016...</td>\n",
+       "      <td>0      -0.62898\n",
+       "1      -0.53499\n",
+       "2      -0.5353...</td>\n",
+       "      <td>0      -0.28727\n",
+       "1      -0.48607\n",
+       "2      -0.5200...</td>\n",
+       "      <td>0       0.53928\n",
+       "1       0.53928\n",
+       "2       0.5839...</td>\n",
+       "      <td>0      -0.53622\n",
+       "1      -0.59139\n",
+       "2      -0.6024...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>0      -0.72712\n",
+       "1      -0.72712\n",
+       "2      -0.7274...</td>\n",
+       "      <td>0      -0.62841\n",
+       "1      -0.66489\n",
+       "2      -0.6721...</td>\n",
+       "      <td>0      -1.10640\n",
+       "1      -1.07280\n",
+       "2      -1.0247...</td>\n",
+       "      <td>0      -0.41878\n",
+       "1      -0.43886\n",
+       "2      -0.5428...</td>\n",
+       "      <td>0       0.84363\n",
+       "1       0.88271\n",
+       "2       0.9139...</td>\n",
+       "      <td>0      -0.92275\n",
+       "1      -0.92275\n",
+       "2      -0.9533...</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>108 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                                 dim_0  \\\n",
+       "0    0      -0.97211\n",
+       "1      -0.95768\n",
+       "2      -0.9590...   \n",
+       "1    0      -0.55916\n",
+       "1      -0.57613\n",
+       "2      -0.5744...   \n",
+       "2    0      -0.78485\n",
+       "1      -0.78446\n",
+       "2      -0.7935...   \n",
+       "3    0      -0.70080\n",
+       "1      -0.68210\n",
+       "2      -0.6839...   \n",
+       "4    0      -0.79512\n",
+       "1      -0.79550\n",
+       "2      -0.7909...   \n",
+       "..                                                 ...   \n",
+       "103  0      -0.72190\n",
+       "1      -0.70269\n",
+       "2      -0.6988...   \n",
+       "104  0      -0.73562\n",
+       "1      -0.71582\n",
+       "2      -0.7234...   \n",
+       "105  0      -0.57233\n",
+       "1      -0.55274\n",
+       "2      -0.5608...   \n",
+       "106  0      -0.55444\n",
+       "1      -0.56440\n",
+       "2      -0.5601...   \n",
+       "107  0      -0.72712\n",
+       "1      -0.72712\n",
+       "2      -0.7274...   \n",
+       "\n",
+       "                                                 dim_1  \\\n",
+       "0    0      -0.23077\n",
+       "1      -0.23077\n",
+       "2      -0.2307...   \n",
+       "1    0       0.12995\n",
+       "1       0.14897\n",
+       "2       0.1413...   \n",
+       "2    0      -0.32027\n",
+       "1      -0.29877\n",
+       "2      -0.2815...   \n",
+       "3    0      -0.57372\n",
+       "1      -0.54957\n",
+       "2      -0.5302...   \n",
+       "4    0      -0.329290\n",
+       "1      -0.329290\n",
+       "2      -0.34...   \n",
+       "..                                                 ...   \n",
+       "103  0      -0.81529\n",
+       "1      -0.81529\n",
+       "2      -0.8152...   \n",
+       "104  0      -0.84899\n",
+       "1      -0.84899\n",
+       "2      -0.8489...   \n",
+       "105  0      -0.87475\n",
+       "1      -0.79615\n",
+       "2      -0.6377...   \n",
+       "106  0      -0.37465\n",
+       "1      -0.41956\n",
+       "2      -0.4016...   \n",
+       "107  0      -0.62841\n",
+       "1      -0.66489\n",
+       "2      -0.6721...   \n",
+       "\n",
+       "                                                 dim_2  \\\n",
+       "0    0      -0.46863\n",
+       "1      -0.43983\n",
+       "2      -0.4513...   \n",
+       "1    0      -0.99312\n",
+       "1      -0.95117\n",
+       "2      -0.9308...   \n",
+       "2    0      -0.39569\n",
+       "1      -0.29069\n",
+       "2      -0.2479...   \n",
+       "3    0      -0.32570\n",
+       "1      -0.32691\n",
+       "2      -0.3126...   \n",
+       "4    0      -0.25589\n",
+       "1      -0.18936\n",
+       "2      -0.1760...   \n",
+       "..                                                 ...   \n",
+       "103  0      -0.87285\n",
+       "1      -0.87285\n",
+       "2      -0.8514...   \n",
+       "104  0      -0.78436\n",
+       "1      -0.81591\n",
+       "2      -0.7853...   \n",
+       "105  0      -1.17640\n",
+       "1      -1.14060\n",
+       "2      -1.1334...   \n",
+       "106  0      -0.62898\n",
+       "1      -0.53499\n",
+       "2      -0.5353...   \n",
+       "107  0      -1.10640\n",
+       "1      -1.07280\n",
+       "2      -1.0247...   \n",
+       "\n",
+       "                                                 dim_3  \\\n",
+       "0    0      -0.57729\n",
+       "1      -0.75975\n",
+       "2      -0.8011...   \n",
+       "1    0      -0.24143\n",
+       "1      -0.38224\n",
+       "2      -0.4104...   \n",
+       "2    0      -0.53043\n",
+       "1      -0.68746\n",
+       "2      -0.7188...   \n",
+       "3    0      -0.44791\n",
+       "1      -0.63497\n",
+       "2      -0.6723...   \n",
+       "4    0      -0.51456\n",
+       "1      -0.68967\n",
+       "2      -0.7246...   \n",
+       "..                                                 ...   \n",
+       "103  0      -0.37702\n",
+       "1      -0.37702\n",
+       "2      -0.4427...   \n",
+       "104  0      -0.37930\n",
+       "1      -0.61525\n",
+       "2      -0.6624...   \n",
+       "105  0      -0.30133\n",
+       "1      -0.44786\n",
+       "2      -0.5336...   \n",
+       "106  0      -0.28727\n",
+       "1      -0.48607\n",
+       "2      -0.5200...   \n",
+       "107  0      -0.41878\n",
+       "1      -0.43886\n",
+       "2      -0.5428...   \n",
+       "\n",
+       "                                                 dim_4  \\\n",
+       "0    0       0.29993\n",
+       "1       0.31719\n",
+       "2       0.3309...   \n",
+       "1    0      -0.22331\n",
+       "1      -0.18323\n",
+       "2      -0.1872...   \n",
+       "2    0       0.64289\n",
+       "1       0.62076\n",
+       "2       0.6296...   \n",
+       "3    0       0.74769\n",
+       "1       0.72631\n",
+       "2       0.7220...   \n",
+       "4    0       0.72843\n",
+       "1       0.70688\n",
+       "2       0.7155...   \n",
+       "..                                                 ...   \n",
+       "103  0       0.63025\n",
+       "1       0.63025\n",
+       "2       0.6302...   \n",
+       "104  0       0.97950\n",
+       "1       0.94276\n",
+       "2       0.9354...   \n",
+       "105  0       0.91888\n",
+       "1       0.92101\n",
+       "2       0.8205...   \n",
+       "106  0       0.53928\n",
+       "1       0.53928\n",
+       "2       0.5839...   \n",
+       "107  0       0.84363\n",
+       "1       0.88271\n",
+       "2       0.9139...   \n",
+       "\n",
+       "                                                 dim_5  \n",
+       "0    0      -0.44158\n",
+       "1      -0.40136\n",
+       "2      -0.3933...  \n",
+       "1    0      -0.79640\n",
+       "1      -0.81046\n",
+       "2      -0.8048...  \n",
+       "2    0      -0.48720\n",
+       "1      -0.44357\n",
+       "2      -0.4348...  \n",
+       "3    0      -0.56643\n",
+       "1      -0.52063\n",
+       "2      -0.4839...  \n",
+       "4    0      -0.49223\n",
+       "1      -0.46859\n",
+       "2      -0.4780...  \n",
+       "..                                                 ...  \n",
+       "103  0      -1.05350\n",
+       "1      -1.03040\n",
+       "2      -1.0257...  \n",
+       "104  0      -1.12200\n",
+       "1      -0.99178\n",
+       "2      -0.9497...  \n",
+       "105  0      -1.03600\n",
+       "1      -1.08360\n",
+       "2      -1.0499...  \n",
+       "106  0      -0.53622\n",
+       "1      -0.59139\n",
+       "2      -0.6024...  \n",
+       "107  0      -0.92275\n",
+       "1      -0.92275\n",
+       "2      -0.9533...  \n",
+       "\n",
+       "[108 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "ea059511-2df8-447e-a064-ab23a2d4b6f5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "for i in range(6):\n",
+    "    plt.plot(X_train.iloc[0,i])\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('a.u.')\n",
+    "plt.title('example trace')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "f1dbbce4-1045-4139-ad5a-f18c151c6d9d",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# Calculate the mean of time series\n",
+    "X_mean_train = X_train.applymap(np.mean)\n",
+    "X_mean_test = X_test.applymap(np.mean)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "358047f3-db4c-4c15-9730-74ee9b827e4e",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>dim_0</th>\n",
+       "      <th>dim_1</th>\n",
+       "      <th>dim_2</th>\n",
+       "      <th>dim_3</th>\n",
+       "      <th>dim_4</th>\n",
+       "      <th>dim_5</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-5.371763e-07</td>\n",
+       "      <td>-3.174603e-08</td>\n",
+       "      <td>3.425230e-08</td>\n",
+       "      <td>1.654135e-07</td>\n",
+       "      <td>-9.615706e-07</td>\n",
+       "      <td>-3.517126e-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>9.189641e-08</td>\n",
+       "      <td>4.269006e-07</td>\n",
+       "      <td>-1.019215e-07</td>\n",
+       "      <td>1.150376e-06</td>\n",
+       "      <td>1.124478e-06</td>\n",
+       "      <td>5.639098e-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>8.036759e-07</td>\n",
+       "      <td>5.864662e-07</td>\n",
+       "      <td>5.789474e-07</td>\n",
+       "      <td>-1.879699e-07</td>\n",
+       "      <td>-1.503759e-08</td>\n",
+       "      <td>2.416040e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.291562e-06</td>\n",
+       "      <td>6.507937e-07</td>\n",
+       "      <td>-6.324144e-07</td>\n",
+       "      <td>-2.481203e-07</td>\n",
+       "      <td>1.160401e-06</td>\n",
+       "      <td>-6.783626e-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>7.101086e-08</td>\n",
+       "      <td>3.040936e-07</td>\n",
+       "      <td>-3.091061e-08</td>\n",
+       "      <td>-1.353383e-07</td>\n",
+       "      <td>-6.207185e-07</td>\n",
+       "      <td>1.185464e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>103</th>\n",
+       "      <td>6.925647e-07</td>\n",
+       "      <td>1.211362e-07</td>\n",
+       "      <td>4.302423e-07</td>\n",
+       "      <td>-1.553885e-07</td>\n",
+       "      <td>7.719298e-07</td>\n",
+       "      <td>-2.285714e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>104</th>\n",
+       "      <td>-9.782790e-07</td>\n",
+       "      <td>1.109440e-06</td>\n",
+       "      <td>-9.306600e-07</td>\n",
+       "      <td>-2.056809e-06</td>\n",
+       "      <td>-4.068505e-07</td>\n",
+       "      <td>-1.096909e-06</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>105</th>\n",
+       "      <td>-2.330827e-07</td>\n",
+       "      <td>7.017544e-08</td>\n",
+       "      <td>-1.436926e-06</td>\n",
+       "      <td>-3.759398e-08</td>\n",
+       "      <td>8.354219e-10</td>\n",
+       "      <td>-7.418546e-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>106</th>\n",
+       "      <td>8.529657e-07</td>\n",
+       "      <td>3.065998e-07</td>\n",
+       "      <td>-5.096074e-08</td>\n",
+       "      <td>-8.621554e-07</td>\n",
+       "      <td>-1.339181e-06</td>\n",
+       "      <td>-3.316625e-07</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>107</th>\n",
+       "      <td>3.174603e-07</td>\n",
+       "      <td>1.182122e-06</td>\n",
+       "      <td>-3.776107e-07</td>\n",
+       "      <td>-6.842105e-07</td>\n",
+       "      <td>4.394319e-07</td>\n",
+       "      <td>1.554720e-06</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>108 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            dim_0         dim_1         dim_2         dim_3         dim_4  \\\n",
+       "0   -5.371763e-07 -3.174603e-08  3.425230e-08  1.654135e-07 -9.615706e-07   \n",
+       "1    9.189641e-08  4.269006e-07 -1.019215e-07  1.150376e-06  1.124478e-06   \n",
+       "2    8.036759e-07  5.864662e-07  5.789474e-07 -1.879699e-07 -1.503759e-08   \n",
+       "3    1.291562e-06  6.507937e-07 -6.324144e-07 -2.481203e-07  1.160401e-06   \n",
+       "4    7.101086e-08  3.040936e-07 -3.091061e-08 -1.353383e-07 -6.207185e-07   \n",
+       "..            ...           ...           ...           ...           ...   \n",
+       "103  6.925647e-07  1.211362e-07  4.302423e-07 -1.553885e-07  7.719298e-07   \n",
+       "104 -9.782790e-07  1.109440e-06 -9.306600e-07 -2.056809e-06 -4.068505e-07   \n",
+       "105 -2.330827e-07  7.017544e-08 -1.436926e-06 -3.759398e-08  8.354219e-10   \n",
+       "106  8.529657e-07  3.065998e-07 -5.096074e-08 -8.621554e-07 -1.339181e-06   \n",
+       "107  3.174603e-07  1.182122e-06 -3.776107e-07 -6.842105e-07  4.394319e-07   \n",
+       "\n",
+       "            dim_5  \n",
+       "0   -3.517126e-07  \n",
+       "1    5.639098e-07  \n",
+       "2    2.416040e-06  \n",
+       "3   -6.783626e-07  \n",
+       "4    1.185464e-06  \n",
+       "..            ...  \n",
+       "103 -2.285714e-06  \n",
+       "104 -1.096909e-06  \n",
+       "105 -7.418546e-07  \n",
+       "106 -3.316625e-07  \n",
+       "107  1.554720e-06  \n",
+       "\n",
+       "[108 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "X_mean_train"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "ad8ea31a-e7af-45a7-b6f0-091b51d82db3",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.08333333333333333\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn.linear_model import LogisticRegression\n",
+    "\n",
+    "lr = LogisticRegression()\n",
+    "\n",
+    "lr.fit(X_mean_train, y_train)\n",
+    "\n",
+    "print(lr.score(X_mean_test, y_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "70b9de09-90f5-486f-9cf9-173dacc681cf",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(72, 6)"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# time series for trial 0 neuron 0\n",
+    "X_train.iloc[0,0]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "cdbce6de-0105-461c-b550-797e21ff8ba2",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.08333333333333333\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_train, n_test, N, T = 108, 72, 6, 1197\n",
+    "\n",
+    "X_traj_train = np.zeros([n_train,N,T])\n",
+    "for i_trial in range(n_train):\n",
+    "    for i in range(N):\n",
+    "        X_traj_train[i_trial,i,:] = X_train.iloc[0,i]\n",
+    "\n",
+    "X_traj_test = np.zeros([n_test,N,T])\n",
+    "for i_trial in range(n_test):\n",
+    "    for i in range(N):\n",
+    "        X_traj_test[i_trial,i,:] = X_test.iloc[0,i]\n",
+    "\n",
+    "X_traj_train = X_traj_train.reshape([n_train,-1])\n",
+    "X_traj_test = X_traj_test.reshape([n_test,-1])\n",
+    "        \n",
+    "lr.fit(X_traj_train, y_train)\n",
+    "\n",
+    "print(lr.score(X_traj_test, y_test))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "fd41c39a-8492-4816-8f38-3b5dfb2fc9b7",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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LG0JECp6TyU4Y1JAwuKBl07DHjpKBmRqyEwY1JAx1doaFwkRiUAc1XF+MRMeghoShPmCyUJhIDOpEDXfLxDHPZS4GNSQMdXaG3U+J4ydGycZtLHH8zMzFoIaEoY5jmKkhEg+7n0h0DGpIGBHdT8zUEAmB3SdNw8/PXAxqSBgR3U+8IiQSDvdKEh2DGhJGkJmaJmHXABE1dwxqSBjqc3IwGPtxpI8hDSUb42YSHYMaEkaAQ7qJhMZFUxuBRTWmYlBDwmD3ExERNQWDGhKGusuJQQ2ReJhAJdExqCFhMFNDJB4u/UR2wqCGhKEOajikO3E89xBRc8eghoQRMaMwMzVEwuG1BomOQQ0JgwtaEomNo59IdAxqSBjq7AwzNUSiYMdmU/DTMxeDGhIGu5+axsGKTkqyZTuPWd0EorgY1JAwIgqFGdQQCefGfyyxuglEcTGoIWGoAxnW1CSOaz8RUXPHoIaEEdn9ZF07iIiMwm5hczGoIWFETr7HqIZIBDwnk50wqCFhcEZhIiJqCgY1JAx1HMOYhoiIEsWghoTBTE3T8BMjouaOQQ0JQZKkiCnYOfqJiFIBS5LMxaCGhKBNzDBTQ0REiWJQQ0LQrsrNoIZIDMw0kJ0wqCEhaIMagLMKExFRYhjUkBD0pqVhXU2C+HERCYfz/JjLNkHNjBkzMHDgQOTm5iI3NxcjR47EZ599ZnWzyCB6mRp2QRERUSJsE9R06NABTz31FJYtW4Zly5bh7LPPxiWXXIL169db3TQyAIMaY/15zibMmL/N6mYQEZnKbXUDGuqiiy6KuP3kk09ixowZWLx4Mfr162dRq8go7H4y1l/nbQUA3HpmVzidzH9T43HtIrIT2wQ1aoFAAO+++y6qqqowcuRIq5tDBtDL1PgDDGqaip8gETUntgpq1q5di5EjR6K6uhrZ2dn44IMP0Ldv35iP9/l88Pl8yu3y8nIzmkmNoA5q0lxO1ASCqK4NWNgi+9ELYCRJAgflUlNIzJiSjdimpgYAevXqhVWrVmHx4sW4/fbbMWnSJGzYsCHm46dPn468vDzlX8eOHU1sLSVC7mpyOACvJ7RZMqhpOpYlEVFzYqugJi0tDd27d8ewYcMwffp0DBo0CM8//3zMx0+bNg1lZWXKvz179pjYWkqEfDHocjiQ7nEBAKprdQptKCF63XpEieAW1DQOZkpNZavuJy1JkiK6l7S8Xi+8Xq+JLaLGkk++TocDrrrCRJ6Qm44fIRE1J7YJau6//35MmDABHTt2REVFBWbNmoX58+fj888/t7ppZAB5+LbDwcmqGkuv9kHidTYRNSO2CWoOHTqEG264AQcOHEBeXh4GDhyIzz//HOPGjbO6aWQApftJNfyYWYamY00NNRX3Q7IT2wQ1r7/+utVNoCRSdz/JYQ2zDE3HLjwiazHzbC5bFQpT6pIzCqHup9BRgOfjppNYa01Nxh2R7INBDQlBrqlxCnRZs2xnKSb9Ywm2H660uilERNQADGpICHKRa0RNjVWNqXPF3xdhwebDuPVfyy1uScPoTr5n+adIdseMKdkJgxoSgtz95FSNfhJlJtN9x09a3YRGE+QjJCIyBYMaEkJ4SLcjHNRY2B41BgbUnHHzJzthUENCkEfpuBwOZQZOUYIJO3fh2LflRESJY1BDQpB0up9EIUpwRWQFbv9kJwxqSAjhBS3VEY0YR1MxWlE/vZOPKHVJlDq4TZHIGNSQEIKq0U/K5Hs8dhIJh/tlYhyipZ5THIMaEoKkzCismnzPygapCdOQxNm46SQIbWaG21RimNkyF4MaEkKgbubbiGUSBDkW2LpQ2L5NJ0HxJE0iY1BDQlDWfnI6AGZriYShDWEY0pDIGNSQEIKq7ieZKFeEgjSjXnoZJTtnmUhMdtkfRMGaGnMxqCEhBPW6nyxrTSRR2kFkBW0Qw0CZRMaghoQQVA3pFm2VblEyRo1i46aTmOy8O1DqY1BDQlB3P4UzNWIcPcVoRePYue0kBlH2Q6KGYFBDQoiYp4Zd0ETCYqaGRMaghoSgHtKt4MEzIfozCpvfDkptQW5UJDAGNSQEeZXu0IzCYk2+J0lAjT9odTMs9+c5mzDpH0vgD/CzaFaiCoUpEUw8m4tBDQlBPaPwpkMVAIAtdf+L4JWF26xuQqMYWQ/x13lbsWDzYSzYfNiw5yT7sXXhvAX4aZmLQQ0JIaAENeHrmkc/3mBVc6Is2n7U6iYIo5aZmmaFk+81DTM15mJQQ0JQdz+JqDZgz0O5URfV6qvzae+vNeZJyZaYqCGRMaghIcgHSlGDGjvQLRQ26Ln9wfAzHTtRa9Czkh1EbVcMahLCj8tcDGpICHKmhlOKi4ldTiTjvDUkMgY1JAS5psbFmMZQRhV1BoI8kTVX2iCG3U+J4SHNXAxqSAiSJHZNjZitMg9jGpJxUyCRMaghIci9G+x+MpZRV9VBRjXNlnYb4uR7JDIGNSSEcPcTgxoRaU9knKuk+eJXnxh+XOZiUENCCAo+pLu50yZqmLhpvlgoTCJjUENCkDMBoiZqfthRioNl1VY3Iy697Eky5qkBAH+Qo6Gai6hNiDFNQgQ9pKUsBjUkBNEn3wOA57/abHUT4vInMX0S0AQ1HA3VfPGbTww/L3MxqCEhBG1QU1NaVWN1E+LSCzSM6irQPjWDmuZDm6VjTQ2JzDZBzfTp03HqqaciJycHrVu3xqWXXopNmzZZ3SwyiHyOFHn0k1/wpRK02RQjaUc/MahpvlhTQyKzTVCzYMEC3HHHHVi8eDHmzp0Lv9+P8847D1VVVVY3jQzgqw3VaKS5xd0kk9m9Y4SATtBl2JDuqJoasT8LMk7UKgn86klgbqsb0FCff/55xO2ZM2eidevWWL58Oc4880yLWkVGOVkbAABkprksbklsomcn9AINo1rM7ieS8ZtPzLbDlYY9V6XPjx+2H8WZPVvB4xL3AtBKtv1UysrKAAAFBQUxH+Pz+VBeXh7xj8QUqBtN4xa4UFj0ET/JDDS0mRoGNc2Idjg/v/uE1PiDOFzhM+S5HvtoPX7+5jL88bONhjxfKrJlUCNJEu655x6MHj0a/fv3j/m46dOnIy8vT/nXsWNHE1tJiZBnFHaKHNQIXlOjF3QZNUme9nkY1DRff/x8I/xc4DQhRmVr3l2+FwDw2rc7DHm+VGTLoGby5MlYs2YN3n777biPmzZtGsrKypR/e/bsMamFlCg7jH4SvY4kmc3TnsNE/yzIONrC4E/WHMCspTyWJoJ1SOaxTU2N7M4778RHH32EhQsXokOHDnEf6/V64fV6TWoZNYWcZRB5nho7ZieMq6nRZmp4pd6c7TrKARqJMCJjasfjjxVsE9RIkoQ777wTH3zwAebPn48uXbpY3SQykJwJEDmoqbVhyp2jnygZbLgrWMqI3eVv87Y2/UmaAdsENXfccQf+85//4MMPP0ROTg4OHjwIAMjLy0NGRobFraOmssPaT835SkmbmGnOn0VzoxcYM1OXGCNWNp+xYJsBLUl9tqmpmTFjBsrKyjBmzBi0a9dO+ffOO+9Y3TQygLJKN4Magxk1ozALhSlM5EkyRWREUCNyvaFIbJOpMWoUB4lJWftJ4B03mTP2io7dT81XM97sDWPERyjwoVEotsnUUGqTgxqRh3TvOnrC6iYkzLiamsjbzNQ0bzzBJsaIi3KRj40iYVBDQlC6nwTZbxdvP6p7f3Md9cHup+aL33TTGVGCJHIWWyQMakgI8rpFLgGm/j5QdhLXvLJY93dVvoDJrWkaw4Z0c0FLokYzoqaGdUwNY/0ZhAjqTI31O+7+49Uxf2e3FYqT1f3EmprmQ6/rxAHr91M7MWJvYe9TwzCoISGEh3Rb3BAA3jgrhVfXNs+hrJx8j9QEuPawFSNqaqJXS+eFhR4BTiFE4UyNU4CjZbxUsc9vt+6n5AzpZkzTfOhtQdbvpfZiRGJTu96Wz8+dUA+DGhKCXKPhFqBSOF69SK3gi1omi/YjMaJGgKi5MGJ/qdEEMSdr7HWBZRYGNSQEZUi3w4HC7DRL2xLvqkp7YBFdspZJYFDTvAmQULUVIzI1GWmuiNvVNssam4VBDQkhoFomId3jqufRyRXvhN1sg5qgNqgx5nlJfHrbEEfiJMaI+peuhdkRtw+WxR7Q0JwxqCEhBFWjn9THSyuK4eJ1P9UExLw6SvbnxO4nUmNIkxi/Ad3WNaypaRAGNSQEvypTox4uasW5M94Ju9Yv5sk8Vhz24ap9Bj0/MzXNF7/sprr33dVNntvJr6nOr64V8wLLagxqSAjqVbojMjWWtCX273wBMa+OYgViLy/cbszzaw7IHE7azDFVk7CVu4816e+1Xd/M1OhjUGORLYcqcPxEjdXNEIYypNvpwD3jeir3W9L9ZMOammR3B3Htp+ZLt6aGUU3Cjp+obdLfy8eetLrJvJip0cegxgJbSyox7tmFGPXU11Y3RRhyAsTtdGBMz9bK/ZZkamwY1CQ79mP3E1HTNHWXkTMzuRnuiNsUiUGNBX7YEVos8QTnGVDIM9S6HI6I1LYlNTXxCoUFPZAkP1PDId3Nle7ke0zUJKy2iV3XNUpQ4wHAoCYWBjUWEGHWXNEo89RE1dSINfqpqQemZEl25kQbxKRCTc30z37EDa//EDVTK9WPR7DENXU2ciVTk14X1LD7SReDGgvwgBBNPimHRj+FWTP6KfbvtMMqRZHszIn2badC99PLC7bjmy1HMH/TYaubIjT9eWrMb4fd/X3+dmzYX97ov5eDImZq4mNQQ0IIRIx+svaIacuamiQ3S7uAZSoVClfV+K1uAjUDmw5V4IIXvoE/EMSPB8qxZEcpFm4+jK0lFfX+bTAoKUu05KaHampYKKzPbXUDiABVUONwwKmKaayo3Yh3whb16sjsTE0qdD/JRA1URcbRT413sLwal7z0XcR2d+fZ3XHveb1i/o06Q5xT1/3E7VYfgxqLbTtcCa/biQ75mVY3xVIBm0y+J+qBJNlBzf0frNW8XlJfzlTyFfCe0hNwOR0oapER8fuX5m3FkUofHr6wr+VZRCtYUdeWykb/cV7UfS9+vRWdW2bh4kFFuO7VxVi26xhyvG58OPl0fLz6AJ79crPy2My6NaBSKVtqJAY1FjvnLwsAADumX9AsD5gyZZ4a7TIJFrQl7ozCAtTUSJKEk7UBZKaFd994xzdJkpq0bVVUR8+vkUqjn4KShOmzf1QmKlz98HnYergSvdrmoMYfxNNzNgEALh3cHoM6trCwpeJoxoeqpPnNu6vxm3dXK7crfH6cXXd+UMuoWxvPz6BGF4MaC+gdEE7UBJDlbb5fh3zV4XZFfjjWrP0U+3dNHcFghPveW4P3V+zDnF+fiW6tQovcxfucukybjZ1PTWz06+mtW5NKx1NJkiJmXh70+BfKz61yvMrPl7z0HX5ySgeM7tESe0pPonfbHLTITEP7/AwU5aXjSGUN3l2+B1ec0gGtc9NNfQ9mY0xjHVdd/zwzNfqa71lUMOc9uxD//Plw5STV3ChDugXP1JystT5T899lewEAL3y1Bc9fMwRAcoMMvc8j3lw+dqBuf7y3crjCF3H7vRV78d6KvXGf+0+fb8KKh8ahICutSW0URQol5WzvzJ6t4K4Lapip0cfRTxbQK7Lbd/yk0hUVTyAoobo2UG/G4FhVDT5YuRcnbTLBX1Ckmpo4B4uTAo2U8UecmJP3QeldEdq9+0m9FEZtIKhc/Rrlha+2GPp8wmH/k+lcTgfuv6A3XC45U2P9BZaImKkRTPHUT/H8NYPRrygXX/1YAocD+MPsjQCAU4vzsXRn5KJoY3q1wrdbjignuI2/H490jwu//NcyLN15DL/GagzvUoB3fnma0DU78knGpcnUQAJe+2Y7Fm07ihk/HYo0d/Lj8HhrP4k6C3Qyg4xa3aAmaS9nCnWgdrCsOipwe/e2kVix6xi+2HAIy3clvhDh0p2lTW6jyMQ9kqSuFQ+NQ16GBws3h+ZVYqZGH4MaC9Q3mmDKrFW692sDGgBRE4f1fuhzbH1yQsRjl+woxVc/luDcvm0Sb6xJ5B3U5dJMvgcJT3z6I4BQ6v/a4Z2S3pZ4mRqRghqzJikM6NbU2PuAqg5iXvt2h/Lz8gfPhdvlRF6GB6cWF+CWM7pia0klFm07gnYtMnB+v7Yxn3Pf8ZPw1QZw9l8WYPOhCtT4g6YE4cnGZRKMN75fW3y+/qBye+KAdvjLVYNw1tPzcKg83OU5dUJvPPVZ6KI2p67m0uUMbVOsqdHHoMYCyY6wx/x5ftR96/aXCR3UBIPqTI1+91NplTmrmsf7ek4I1P2klswgw6+T5rZ7TU2sbFzLbG/EbZfTgV5tc9CrbU69z9m+RQYkSUJOuhsV1X5sLalE36JcQ9pL9lfcMhM92uTgwYl90LllFtbuLcNn6w7g2uGd0LEgNKXHrF+OxDl/mY+gBLxw7ZCIkYfOui5S1tTEx6DGAkadENJcTmVSpo8nj8ZFf/0WALD32Mmox+qNYBGJMqTbqclAqH82KTugvQJqmZWGnm1ysGj7UZzwCZSpUQV/yTy+6dfUJO/1zKC3D47oUtDk53U4HOjbLhc/7CjFuv1lDGoaIBiUsGDzYfRrn4vWOak5auyre8+KGgQyoEMeBnTIi7ivS2EWtk+fiLKTtcjL8OBIpQ8P/W8dTi0Ob5vK6CfBj+lWYVBjAb0Ie91j5yO7Lr24bl8ZctLd6NwyCz9sP4rebXORl+lR5huRJAllJ2vRIjNydMVvz++lzKmhFa9OxGrBoKRkZLQ1NVYM6dZmPZY+cC5KKnw4bfpXOFEbaPK8L0ZRtyC5mZrU7n6Sje3d2pDnHtIpHz/sKMXSHaW4cmgH/GH2j3A6HJg6obcQ202i9PZBIxfl/XTtAdz59krkZ3qw8uHzDHtekSQ6qjWvbn2nwmwv1jx6vjI3DcBMTX3s3+FrQ9oD6siuLZWABgD6t89D55ZZAIARXVsiLzO0gcsHRIfDERXQAMAdY7uje2v9nWfG/G2mdd8kSh1wuZ3OyO4n1ePMOo9qT9hOpwOZ3vAsnqIsamlW8KcXANh9mQS9IN9l0Im6Z5vQPnigrBqfrDmAV7/ZgZcXbkeJZni4nRkZmn314yEAwLET0ZM8EpDtdUeMzgvPUyPGcUg0DGosoD1JaCeca4rC7NhzY4x5Onp6bhGoPw+nZou04typF7Nkqq6UROqCkiXzok0/U5O81zODXqBmVPKhTd3Ee4fKq3Hn2yuV+7Vz3tiZkQmnVOxFSWbQL58vmKnRZ6ugZuHChbjoootQVFQEh8OB//3vf1Y3qVG0V4lGTr2vLXRUK68Wv8hVvgqRD5rqkWJm7cLq9vSuKxB1u5xIc4V2lxOCrI6rPq8kcySE3hWhyN2ZDaH3eRnVpdImN7QPHiqvjrh/7oZDhjy/CIzsRtt0sNyw5xLFom1Hk/bcHP0Un62CmqqqKgwaNAh//etfrW5Kk2gLvBZvN25Oiy513VayV28cZthzJ4t651SCGvkOCyffu2hQET65c7Ryv9wFdcJnXXCoLnCNLBSO/0E1ZRLG2hQc0q2XuTdqAr5WdcWu2ouI51N9Qr5GUi9FkSpW7jmetOdmTU18tioUnjBhAiZMmGB1M5osmVe5nVpGrvbdoq4eR2QRQU3didrpcCAoSZbU1MjfT066G25XOO5Pd7sA1MJn4UrdtaqzcSLz1MxYsA33jOup3K6uDeD7bUcwtlfreq+69WtqGtRcYentg0ZNKpyb7ka6x4lqnSU1RCkyb6oUeAtJ1SpOxrypuPZTfLbK1CTK5/OhvLw84p8Ikrkxaq96PK7Ir1iEVaa1dDM1dQdNKzIC6jlz1Dzu0G0rC4VjDc2v73PafrgSn687gOKpn+Kpzzai90Of4+Y3lqHLtNmorg1g1Z7jKJ76KRZvj0ybl1RU46V5W5Xbg+qGoNp+nhrdmhpjztQOh0Opq9EqPylmF3A8epuW3lIvFNZZc3FpJCVTI+CxXAQpHdRMnz4deXl5yr+OHTta3SQAyQ1qtCfiNE1QI9KMuDL5qtnhUI3wqjtoqg+o9c3EbHR7tN0R8mdZY2GmJiKoUTWvvk1q9toDuO2tFQCAvy/YFvG73g99jktf+g4AcM0ri7H76AlsOVQBABj+5Ff4vq4+oH/7XJzevbBBryc6vX3QyPWf2mjmW5EXt9x3PHoOKTsyMlNj96yfnmTuH3L2mN1P+lI6qJk2bRrKysqUf3v27LG6SQCSHNRoT8SaadpFXOBS7lFxq9uuFAqbT/56tIWjctbLymyX3uy+QP2ZmkQ2uTOfnodxzy7Ex6v3R9yf5nIqn4nda2r0C4WNe/78rMhu3w75GQCAJTuSV0BqJuZp4kvmBVg4U2PvfTBZUjqo8Xq9yM3NjfgnAjODmsw0V8R9Ik7zL5+o1UGE/JN6aKRp89TUfT/ak5zXLUCmRr0yd1D92Rj/4aiHIwOhOYScFnYLGkmv/UZOKKeeLO35awYrP9txLha9EzRrauJL5u7hUgqF2f2kJ6WDGlFp04ZG9r/qBTWfTTlDuS1i95O8b6rbrgzptmSeGv3uJxEyNerXjghwTPicXE6Hsv6M3YOaZA7pBoCMtPAYjH5FuRjfP7QQ5p7SE4a9hpWMrKmx+aakK5n7h8fFQuF4bDX6qbKyElu3hosWd+zYgVWrVqGgoACdOiV/9WajaDf4//ziNMOeW3tgzkhzoWebHHQpzMKOI1U4KcgcK2pKDUtEpib6oGnWLhxeh0q/K8/K0U/qlLP6oGbWAS7c/WTKyyWN7ugnAy/x0j3hJ8v2etAxP3ThsjtFghojmVUrZ6Zk7h/yPDV6Uy2QzTI1y5Ytw5AhQzBkyBAAwD333IMhQ4bg4YcftrhlidFmatq3yDDsud0xiluPVoZmM03mpFCNJU/u5nKJkalRr0OlFs7UWHcwUaecIzM1yW/Tou1Hle4nuy+ToDd6y8hMjfq5srwudKpbhXnPMfsFNXpfdSoGIkZK6ozCHNIdl62CmjFjxkCSpKh/b7zxhtVNS0gyh8Nqu0zk0UTyRGDPzN2ctNduLLlHxaVXU2PBwVM+WMTK1IhSUxOIqKlp3PMteeCchB4vb092P6DqjRwxMqhRfz5ZaW60zQuNhjpSWWP74fBAanYZGSmZn094mQTW1OixVVCTKpI5FK8hB2bRrrL1ggj55BnRVJPardcdBqiDGuu68NTdT+r6moYEGX3b5WLRtLMxvEuBcl/rnHTsfGoivp96tnLfqofHxXyOVOl+SnamRn3CcTodypDuQFDCt1uPGPY6VrH51590ycycup0c0h0PgxoLqA+o5/ZpY+hzqxfHnHH9KcrPPx/dRfl59tqDhr5mUwV1a2pCNh6sML89MUY/pQnQ/RQrkGnIQfQ/vxiBdnkZ+NfPh+OmUcX4583Dld8VtcjAzqcmYudTE5GZpl9qd8voLpCnPbJ9obDeKt0GHg13l0bOR6OeBPPWfy037oVMkOyv2uabkq6kzlPDId1xMaixgBxhTzmnB165Yaihz62+2sxJD8+Vcfe5PZSfK6rFGlYqfx4unXlqbnsrfAIwrVA4VveTPPmepfPUSLo/NyTI8Lpdyv+PXtwPZ/Zspfs4j8uBtpoZcf/+01Pwm/N7KduX3U9EyZxRGAAenNgHAHCWzmdcXJgVdZ/dPPXZRlRauAaa6MxZpZvdT3psNfopVcgH1BaZnqgTZ1OpAwN11kYd4KSr5tAQgd4Q6goLVxSXz3fa+iR55NjTczbhjrHdzW4WgDiZmhjHt9Y5XpRUhIrEM9Ia9r07HA58P/VsBCUJx0/WIj8zTbV8RWoM6Zbb73Sovm8Dg5qebXKw86mJEfe9duMw3PLPZYZmhKz08oJtuPe8Xpa2IRCU8M2WwxjcsQVaZKZZ2ha15GZq6rqfmKnRlSK7l73IEbY7CUc39egn7Uio8f1Cc2VUCHaFpXQ/1RPgmXUefW/FXgDR3U8fr9mv82hzqQ9kDcnUeFxOpVspEU6nA26XE4XZ3ojvRf7R7oXCcheiesZtI4d068nNCF1YnPCJN61CPLG+6b3HrF/y4d1le3DTzKW48R9LrG5KBHWmZvZdZ8R5ZOLCk+9JwtVHioBBjQXkE4I26DCCOvOjDRKy00OJuUoLsyB6Yk12ZwX1QWLjgch6nuHF4QLbaovm+4mcmyacnjErc5Iq3U/y95elqh9K9urZmXWZsioBZ/VuDKMmoWzKtiRfaKzZW2ZIW4wi76bDuxSgb5GxM9l7VBl4u19cJAODGgv4kxjUqFPo2hW6s+SDqmCZGiWoqeekYsbwbvUxQlsz8Ngl/ZSfD5ZVJ70teiJmFA6oMzXmvL4zRebI8NWGPkd1l5yR3U96sryhAMpumZpYjApqmjJ3T2vVwqHHT9QY0RxDyMeqZFynqS/+OAIqmqFBzf3334+bb77ZyKdMSfLJSF3zYhRXnEyNXEtjVZYhlliFuVZQn6y1B+3ebXPRsSA0UaJVk6jFmqfGrEyNMvGXzVM1J3UyNUYO6daTpcrU2KnbIFZb56w/hL1N3A8+XXMABwy6QPh26xEcq6rBJgtGTGrFWhTXCOqLVbtfXCSDoUHNvn37sHPnTiOfMiXJNTWuJHTixwtqvHJQY+E8K3qUeWHq+TjMOA+ogwO9odt76obqTnt/bfIboyPW2k9mHdxcKZKpkbNwmd5wpibZMXVmXaYmKFm71IaRbn9rRZP+/sWvtzTq76prA/hkzX5sLalU7nt14Xac+uSXOP+5hfjZzCWWTnIoB4LJiJMjMjUsFo5i6OinN99808inS0lbDlVg8fZSAIAnyd1P2meX16OprhXrgBpUamqs7w1Vn6xz0mPvHlYVSUYWCoe/x1gBn9EHVbeqSNHOth0OnQwzVd1Pyc4UqlfurvT5hRuF2Bhr95XB5w8o0wUkqrF1TP9atAtPzv4x4r7VqrqaeZsO46uNJRjX19h5wBoqPLrO+G3KHdH9JNaxXATWn0Wamete+0H5ORmFseouLe1pJ90tZveTMk9NPR+HGadR9cl66oTeUb9/8rL+AIBTi/NNaE009UEsEDC/+ymcqbH3wVSeMsDM7ieX04HsumyNlVMWJKq+Levpzzc1+rkbOwD0P0t21/uYtxbvUn7effSEbnbxaKVPWRfPSPLumIzic4fDETECiiI1KlPz+OOPx/293RaYNNPhivAOlIygRt3fqj3PyUWR4mZqrK+pUaesO9StrKxWmO0FYN3BJNbke7G6g4zP1KTGHBnyiWxE15b4YsMhAMbOKBxLXoYHlT4/yk6KNQFmU3yx4RAevLBvo/7WEZVPbhivu/4va8Hmw6iuDeDtJbvx2McbACBiaoMPV+3DlFmrAIQydqO6tcTDF/ZDp5bR+32iwjU1TX4qXW6nA4GgxKBGR6OCmg8++CDidm1tLXbs2AG3241u3boxqGkgo0YPqKmH+2Vo0tvh7iexMjWBJKZqE6UugNU7IFm9qKU6mDBiQctEpUpNTVXdCKS8jPCklMke0g2EJtzcd/ykUCN17KihXXePfbwec+uCViC03crb8MLN4TW4TtQE8OWPJfjyxxJ8N/VseN1OvLN0D57/aguevmIgLhncPqH2yZnTZG1RbqcDPgB+C2c3F1WjgpqVK1dG3VdeXo6bbroJl112WZMblcpy093Kitk1SbjadTgcePySfiitqom64hC1+0mZtycJo8ESpV73Se8k51XWf7LmYBKzUDhGVNPYK+FYUqWmxldXLB9RU2NCUJNfN+ttSYXxXR5JU89XXXayFrOW7MaEAe0igsRk0mZ1n716EH79zmoAwIqHxuGU388FALy9ZE/E47rdPxtZaS5U1cQ+Bp7+1NcRt6fMWoX/LtuDf908osF1V1KSL9RCE7cGbL8fJoNhCdfc3Fw8/vjjeOihh4x6ypQ0vEtL5efaJF3t3ziyGHef2zPq/nRRRz8Fow8AvdvmWNOWemY3tjxTY/GQbpcrNTI18ugjdTbTjN7PPu1C2/XqPceT/2ImKTtZi6nvr8Ud/27aSKhEqIPRc/u0xlk9WyPH68aYXq1QkJWGL359Zsy/1QY08jpd8Xy39SgOljd86Hkya2oALmoZj6Gjn44fP46yMrFmdhSNutCzl8kn7tyM0NddflKsIkW9GYVPLS6IWqHbjPO2XoClZnlQE5GpUc8obM7rywdTqzJVRpG/P3U3htFZLT3dWmUDsG7yxmT6dusRPPnpBvzizK4Rk+Ilg1zb1qtNDl65YRicTgd+eOAcJRvds00O/u+2kbji74ui/nbO3Wfi/OcWwukAvrp3DLoUZuGnp3VGTSCIimq/UoD/zrLdeGnetka1L9k1NeFCYXvvh8nQqKDmhRdeiLgtSRIOHDiAf/3rXxg/frwhDUtV8slg4sB26N8+z9TXllPfx6rE6s9X1n5SBRJW1QzLx4hYmRqPxSt1x8zUmFQoLH9HqZKpyWzgIp9GkReWtdfop4Z/169+swOvfrMDi6edg7Z59Qc22uBYkqQGZTfkoPS6EZ2ULqHMtMjT2bDiAux8aiJqA0EEghKufmUx7h3XE73a5mDH9AsQCErK+nvpHhfSPS7kqhb+/e35vXH3uT3R7+E5qAkEExp9GUziPDVA+DjETE20RgU1zz77bMRtp9OJVq1aYdKkSZg2bZohDUtF/kAQ3209CgCY0L+t6a9fkBUKaip8/ibNLWE0v06mRu/AZsYyCQGdAEtNztRYNXma+iBWG5CUk0Cs7iejj6mpUigs19Sol0kwY/uS5z4SbVFZo3279QiuGNpBub3v+Ems2HUMEwe0i6hL0QY1Qan+qR2A8PeX1oBRUB6XEx4X8OEdpyv3ORyOBtXweVzORu1Eya6p4ZDu2BoV1OzYscPodjQLWw+HZ7+0YlvMTffAVTcU8PiJWrTJFSOo0RvSbdVAqPqWbEizulA4qH8SiLU9Gd2nL1/ZatthJ8GgpMwWrR0hmGzyorIV1eIM6X55wTa8+f1OzPrlSEOGMwOR3aS7j57AmU/PAwDc+fZKrHp4HP63ch9GdS+MyngGJQmuBkQR8kVFmhnj8BtB3h2TVygs19TYdz9MFjG3iBSlzoxYUZPhdDqUdPs2VYBlNWWBT9UByqrh3fWtGO61vKYmMnqR+9TNmhJeDgJOxhk9Ijr1idTsWX1z08WYfE+SJJRUVEOSJEz/bCP2l1Xj2S83x3hs4s//5y82o6SiGiUV1bj4pW8jfnfdqz/g0Y834I5/r4jajxr6WvLfeT3mncISWa9L3h+TdRhzp0jGNBkMLRT+29/+hiNHjnCemhjU50mrImx5zZsqgVYKVhb4VGdqLGpLfYXCcl92UAp9h26TrxS1243cXrNGP8knEauCOiP4VJNPml1Tk1s35Lm8uhbBoGTZIq4P/m8d/v1D5Ky8xwycO+dIpQ/Dn/xK93cbDpQDALaUVCpBnqyh27EcmJqRqWnMNyTHGskb/VRXU8OgJoqhW8R7772HN954w8inTCnq7a/Woo1xdPdCAGKlv5VMjeoAb9XBXilajrFnqPvwrSgW1m43fiWo0X+80Z9iKsxT4wuEAnqHo2E1GUaS53GRJGuzNdqABrCmS7Vc8xkkmqkx8/tL5LohvPZTctrisThjLDJDMzVffaUfmVOIOlWYrDlq6qNcKQo0TbucfVAX7lmdqamvUBgAav0SkGZKsxQBTfeTfNusTI2cmbJ1UFOXqfG6nRHfsxkfodftQobHhZO1AZSdrEVepjmT1anF6qqMtUirmd90gzM1JgY1TUm2JKsbXe4GF23OMRE0KajZsGEDdu/ejZqacNrS4XDgoosuanLDUpF6h+3aKsuSNsjpXu0VkpXCmZrwAcqMKev1KKOfYoyMcDsdcDhCJ8DQFb+5JyVtga6SqTEpVROe9Mu+V4jqIlMrMoItMj04WRbA8ZM16ARjCnMTEStw2FN6AjX+oOnZK7WGBlDyd9iQNaCskOwh3XItmE+wdfxE0KigZvv27bjsssuwdu1aOBwOpYBKPhEFAowe9agzNWf1bGVJG3KVeTIEytTUnajVxbm65xoTLhmD9WRqHA4H0lxO+PxBS1K/2kJheZuKtUyC0eTvKCjB0pqQpggXmUbW05i1TEdehgcHyqqFWtQy2+tGpc+PzYcqTJ8/64Vrh+Cut0NL7yScqXGJMYJTS6mpSVLOOZ2ZmpgaFeZOmTIFXbp0waFDh5CZmYn169dj4cKFGDZsGObPn29wE1OHvMO2zvFalomQ58kQaVZhvZoaUYd0A+Hi0hMWjADSziAq10GYVVPjUWXTzAqkjCbPcSJf5d8yugsmDmyHvu1yTXl9uQv42Alrghrtt1bcMlOp9ZGLeCMen+SvuW1ueJI+qYHXCXI9mxmjnxoTmIQHHBjdmhAvMzUxNSpTs2jRInz99ddo1aoVnE4nnE4nRo8ejenTp+Ouu+7SXfCSwiOOYg0XNoN8QK3wiXOVqIx+EmFIdz2T7wGhWWGPnai1JNtVGyNTk8hw06ZQd8v5AxJMHhFtCG3XxYMX9jX19du3yAAQ6u6xWru8dDw4sS/e+H4n9h0/icMWLLTZMjtcmJZ4pka8QuEps1biw1X7ASTvOMZMTWyNCmoCgQCys0NrmBQWFmL//v3o1asXOnfujE2bNhnawFSxtaQCV70cWoek0sLZREXM1AT0MjUWtyVe4JljYV2StpZFznKZNV+F+jsKZY3sF9WEi0ytaXuXwlA93e6j1gQ16pPz53efibwMD1bvPY5vtx7BgTL9YuFEffCrUWifn4G9x05iSMcWqAkE0evBz3UfW5jlVX7+xT+X4f9uH1Xv84tcKCwHNADgTFLz5AxVNTM1URr1kffv3x9r1qwBAIwYMQJ/+tOf8N133+Hxxx9H165dDW1gqvj7gu3Kz1YO5ZRrasoFqqmp1Rv9ZPHke/GusLK9oaCm0oLvMVamxrQZhVVBjV0n/rK6yDQ/09p9UL0chLx5tKhbF65M52KnIctHvHDtEFw3ohMAYOKAdhjSKR+tc9JxSqd8OBwOeN0uLHngHNx6VvT5QV5oFwCW7TqGEzXx9ytJksLz1AhaKByWrExNXfcTMzVRGpWpefDBB1FVVQUAeOKJJ3DhhRfijDPOQMuWLfHOO+8Y2sBUIcpoEREX1JPnzFBfQVrV/RSepyZ+9xNgzWf47dYjEbflGhvTup8i1u2Jfs2yE7X436p9CEoSLh3cHvlZJo95bwBtTY3ZRNoH5W8zp4nLN1w8qAgXDyrCwxf2jfm5ts5Jx7QJffDm9zuVDMOkkZ2jAu+jlTXILIh9alKvu2bqPDWNGKmQrEoDjn6KrVFBzfnnn6/83LVrV2zYsAGlpaXIz8+37ApbdKJc08pXRSLNUyPbeDBcpGjWZvT1xkP4dstR3H9Bb7hdTsixZ7xCYXlYfKUFdUk922Rj86HwEheBerqfjP4YHQ4H3E4H/EEp6jWrfH4MevwL5fZn6w7iv7eONLgFTWfFxG1qcqbPqkUt9eJfo5ZvaMiyE1/cfRauf30xOhVk6tYz1bdY7BcbDik/m7F2V1P2oaTPU1PLTI2WYXt1QUGBKQHN3/72N3Tp0gXp6ekYOnQovvnmm6S/phGsyjxoqa8Szbq6j0edPr373J7Kz3oxRTJae/Mby/CP73bg3eV7Aagn34v9N9kWrt+jHUZeG4jf/ZQMcrZGOwPt/9V9hrIlO0pNa1Miwt1P1tTUNDUrYiT5mK2MptHpzjD6MNGpZSa++d3Z+PctpynLjqjV16UiD/8GoPv3ydKYzyHpmRrOKBxF9A7JCO+88w7uvvtuPPDAA1i5ciXOOOMMTJgwAbt3R0/5LRoxQprwFVlNIChEkdmB49UAgHSPE73b5ij3m53xO3A8VCDZsO4ncYIaOTA1a0ZhIHwi0WZqDpRVm9aGpvDVXd2auRiimkjdTzJ5qL52HiQriHaibsqxKFnHsXChMDM1WrYKap555hn8/Oc/xy233II+ffrgueeeQ8eOHTFjxgyrm1YvUbrlstLcSteOlaOwZGv2lQEIDXNVf0Zmf1zyobwhhcJWnpS0603Vt6BlMj5HV4z1n0Sd3VVLmePE5MVIZVZnatSbirx5eOpSk1asZ6aVSnUiSZtRuC7LyKAmmj2OQgBqamqwfPlynHfeeRH3n3feefj+++8talXDiTLxqtPpQGZd6rJKgKDmaGVoXgxt0anZ3XXygV4ODuLNLqvURFhwUpKvYt2qmX1D/5uZqZGDmsiTj17m47O1B0xpUyKUtZ8sy9SEtp/q2qAli0iqybuZsqaXTqamvi3r/24ztm6qvm25R+vQdCLy0HizNGYPS9ZxLMPCCUBFZ5ug5siRIwgEAmjTpk3E/W3atMHBgwd1/8bn86G8vDzin1UESdQAADLrTspV9QydNIO8U2pnczX745JHNjQsU2N995Pcpx6U4tfUJGOadiVTozkBenQm5bj93ysMf/2msrqmRg6KAWumBdAbxaMEqgkGWf+5ZQSGFRcY0i5ZfVMFyAXej1xkzqSJTSsUNqwZEeS6PhGO4aKxTVAj03bjSJIUs2tn+vTpyMvLU/517NjRjCbqEqVQGAgfVOUZjq0kz0nRNi894n69zyuZhc0vzduG77ceUbpU4tXUyHP9mN19p56fQw5qlO4nEyuF5YVHtd1P2sU2AeDBiX1MaVMirJ7jxO1yKqN2rAiMI7ufQtu5XCdVk2BNTddW2Ya1S1bf8htWBaWNOf4kq+ygvrmyzDweiMY2QU1hYSFcLldUVqakpCQqeyObNm0aysrKlH979uwxo6m6BIpplLWLRIjy5cAqyxt5gNL7vJLdw3Ldaz/Uu6AlYF1NhD8oKZ9Bel3XSbCeQuFkbHdy11xAFcRIkoSXvt4a9dgdR6qMb0ATyd2uDRl+nCzKNiTIciWxuhQBxN3xkjFjbn0n5GqzC72bsA8l67ivBDU6F6aHK3wYMf0r/Pbd1cl5ccHZJqhJS0vD0KFDMXfu3Ij7586di1Gj9KfV9nq9yM3NjfhnHXGimiwlUyNCUBNqQ5Y3csok3UyNCe2RrxLjzVMjp353Hj1h6rB49cinDE33k5mlGXrdT99uPYIqnf794wLOh/T1xhIAUBZxtIKVXZjqLVbezeRMTW2CI4+SsfZSfd1PcqYm3aLuQyAUrM9asrvetiYrQx8OaqL3r0/X7MfhCp8yTUVz06jJ96xyzz334IYbbsCwYcMwcuRIvPLKK9i9ezduu+02q5tWL1EKhYHwDnFCiO6nukxNmjaoiX6sGcWwDcnUdCrIVH5esfs4hnbOT3q7gMh5YeRCQfkuM4Mrj0730+4YizNuPyxepkbudirMtm6242zBhnXLhcK1OifpeFtWZprxp5D69nOrhuSrWzX2z/MBhD6vG07rHPNvklZT4w0Xm/sDwYjFgNX7pfZ3zYGt3u3VV1+N5557Do8//jgGDx6MhQsXYvbs2ejcOfZGJQqRamrk7icRhnTLbZDbJNOraTH6vK2X5m7IgpaZaW7lCnWnid0rcqbG6QhfWdff/ZTEQmHV56e+ar5pVDF+f2l/AEBJuXhz15SUh0bcndLJnGBUj5WzUusFwB4l+9bwTM0nd45OSl1SfU2oNnntrnh70DebD8f922Qd99WZ7Xi1kVYsums1W2VqAOBXv/oVfvWrX1ndjISZOeS2PtkCdD/tO34Sa/Ycx4K6g0JLzVWzGfP66BW2NqRQGAAuHVKE/y7bi/3HG76q8ZZDFThU7kNNIIAzerRKeDZUn2p6f7l5cmBm5pxpeiNl1Ce3dI8LgzrkAQCOVtWY17AGkCQJ1X5rJ98DxO1+CkqhwL6+7R8A+rfPS0Lr4hcKS5IUNQLQLHrN0hbLayXrKJbmdiLN7USNP4gKXy3yMsNdqeph3mUna1GQldbg7zQV2C6osSuRVjSWo/xKCwuFT3/q64jbbXMzIm7rFwob+xnqzckhX/Wk13PCK2oRau++BgY1Nf4gxj27ULk9/fIBuHZ4p4Y2NfQc8qgdl1O5AgzUl6lJ6BUaRi9To/6+avxBtMz2KrfLTtZaWr+iVhMIqoqtravJCM91ZO2VtDz6ST0vU20gCJcz/NmYfT0Wr1BYPduwaZmaOBdYX28sQUV1rTIhp/YYlcyLsxyvG0f9NVEZ9y82hAfTlFb5lK6yV24YivP6tU1ae0Rhq+4nOxPloA5Ye5UIACUV0V0SfdrlRNzWm1/F6GOrXlDz7JebAQArdx+P+7ft64KaT9Y0bHI5bfDz4ap9Dfo7NfVCjC7N5Htm1tTIQ7rVgbq63qcmEEAL1fa+/XB4AU6rqZcGsbLQ1MpZqfU2FU+MmgwrxLsAVM82bNU8Q1pvfr9T+Vn72Saz7CDWgI91+8LzsT3x6Y/Kz69+sz1pbREJgxqT5GdZV5SoZeUBtdLnx2Mfb4i47+EL+zboisbo83a8KeG3lMQ/EXfIDxULV9X4o64sy07U4rVvtuODlXvh8wfwztLdytWSrNLnx+vf7sDeY/oFtrrt9UdnapTuJzPnqXFFL2hZ65ciflb3+ZcJNAJKLjIN1SVZl463eqkEmbb7CUh8BJTR4nU/yV2H1nx/oXZp646W7Tqm/KzNmCazx0fu8q3xx/681BdneRninIOSid1PJlFv659NOcO6hsDaA+p/l+7Bp5rsRpdWDZvu3Oi6pJNxphi/+fQucf/21OJQkakkAduPVKF762ys21eGae+vRW0giI0HKwAAb3y3E6v3lkX9/bp95Vi3bwN+/8kG9G+fi79dNxQd8jOw4UA5urfO1u0aUU8aJw85D6/91IA3bBCX5rXVbVP/XJjtxZFKH37/yQaM6dXavAbGIWdq0j0uS9djkydwtCTg09lWXE4HHI7Q9qxdusHMLCAQv/tJvhDL9rpN+/60L3NCs95Shmpf1bY8mU2UByuov694Fzdf/ngIK3cfwxALC+TNwEyNSV6rS/1dNqQ9+miWBDBbroXdT+qD+CWDi3DPuJ44o3th1ON0a2oMbku8yQcnDmwX92/VwyTl7pWL/vot1u4rUwIaALoBjda6feV45ZtteH/lPlz44reY8Pw3qA0EsWDzYTz/5RblIC8XAKZ7XJAvUuVAL9aJJxmTo8lX9f4Y3U8T+of67Y/Ureu17XAVyk6Ika2Rr/StrKcBwt3Rxy34XNTLJKh3szRlVmFxMzXldRdiuRZ058vN0k6FcbjCp/ysvfBKZuDlcUcHNXM3HIr7N3e/sypp7REFMzUmkUeBfLByH569erClbQl3P1lxQA254bTOyrDfBv+twVHNiThBjXaIuZ6xvVph3qbDOFAWqhFqSvveWrwbby3eDSA0sVePBz4Lt7PWj2kT+ijfV266J9z9JMXvfjJr7Sf5wNqlMAvj+oZm+O5XlIv1+0P9+9e9thif3mVthhIIz0abbvGK4vJJ2frup/D2keZ2wucPRkzyaIV4mZryuosiM2sUtXuQ9mLopCpzY2ZSK01eWV31fU2ZtTLu37ibwQgoZmqaIUsLhev2+vouYPQPDhJ+PFCO4yeMGSYcb36HhgQ1nVuGus32lzV8WHdj7C0NPb/SdZLmUnU/hR4T6zyQjGOYW3ltVU1NXYAzokuBcqJ84dohyu/l4MZq6u4nK1mZLY114o2VqTG7bDheF4qc6ZW776ygzdRUWxTUeHS+r95tc6Ie11XVvZ+MyRJFw6CmGbJ05EXd/405167bV44Jz3+DkdO/rv/BDRAvU5PRgKCmqEVoEc7NByswcvpXMR9XkJWGiwcV4fVJw3B+v8h1yq4e1hFdC0MHnXN669edyENX1VkGVwMzNcno1Fdmn1VlauShtuqhwa1zvBF/p63VsEJ43SBrgxp5Hyy3MFsKaLqflMJTq7ufYv9OnkzOitGkcrO0mRr1iDq9FdCTxaOzHw7s0CLqcSO6tMR/fjECQGRWKVWlfthGUeTFI0/U+OOucp4M8pVMY15z7b5QfYpRO6YvzsE7P7P+kQLt8kLDuudt0p9V9KJBRRjZtSWuGxGej2ZE15aY88gcAEDPNtn44xUDI/4mGJSw/UgluhRmY+Z3O/DEpz8qgYt8Qs5IcykBgvy7WHUQyfhm3TqFwj55QjvVMNtszXpePR74DJ/ffQZ6t01OTVlDpoRXAkMLJ94DwtlSkWZ8FSWoaUj3k/z5mUF7rJLroLLSXKiqCVieqZHr77aVVCpt+elpnZTu7F+P64FDZaG6HxHW+0s2BjXNkLzOUlAKXWU0JCthFKOuZEqrajBl1kq0zknHX64a1KjniBXU3Hpm1wbN9tsuLz3m7y4dXITnrhkSdX+2142cdDcqqv3o2SY6Vex0OtC9dej+cN1MKO2+as9xAKH5VQKaodyxTkRJWaVbZ/K9lxeECuHl4Cb02tEvPv65b7DzqYmGt2lP6Qlc8Pw3uPrUjnjwwr4xH2f2FPuxyDU1Nf4gqmsDpnaHqYvK1V+R0v3k145+MqVZirhDuutO2g3pHjZKaV09pPy5HKvr/i5qkYEtJZURF1lmzhzvVRUKT/rHEgDhDFbXwmzsmH6Bsg9W1gXPlQIF0cnC7qdmSD0EMd4IoGQIZ2qa9jyn/H4uvtlyBO+t2Bv3yi6eWIHA7WO6Nejv27XIiLrvnN6tMW1Cb9x/QZ+Yf/fmzcNx97k94j4GCNfDBCQJF734rTLRX7onevK9WF07ScnU6MxTI5OvDmU3jSpOQgui3f/BWlT4/Hjt2x1xHxfO1Fjb/aTOYlk5q7C2UBiInfU7v18bTJ3QGwCQn2ls98/d5/ZQfo5XU2Pl9/efJaFtWy7ubpObrrRJDhTNjP88OoXCcs1RRlrklAXZqlnkzR6ibzZmakzQ2JNusjidDmSmuXCiJhAqess277XDNTXxT7eJBD3Ldx/DqcUFCbclVlDT0FVt22hqRr669yx0Lcyqt2vtlE75DVpMUe4r187rk+5xwVl3IgzWk6lJxoymchdTdQO6AR+9uB/KT9bi/ZWJz6CciGMNLB73KXVJ1gY1LqcD2V43Kn1+VFTXopVmW0qmWEcjT4xMjczrduHno7ugfYsMjOiS+P4Wz93n9sSh8mq8vWRP3OOlXL9iRU3UF+sP4Q+XDVCCUPk7C0qhfTXN7YCk+eiSGUDoFQrLtN2r2XXddZIUmhoiy5u6p35makxQ7RevOEuugrdrpkbtyr8vSujxT366AVfM+B7fbT2i+/uGDnt0u5xokxs+GTUkoEnEvxbv0r3f63FFrf0Ua2r7n4+OP4lgY8jdlXLaXX1lvfC3Y6Me/8zVg3Hp4KIGPfdL87bi+tcWJ3wy2H+8YauBh0c/WX/os2oUYszRTzEyNeqHe1xOXDSoCK1zY3e9NpZ2m9ZjZU2U1+1EMCgp03OoA1F5XzC1UDhODVSGJuhT3z6Q5NGaVkvdcE0g8WautUq214UjlfFHACWDvNNbOVvCq9/E76JIZDXbF64Zgs/WHcRZvVoZXnCdn+nB7tLo+zM8LsjJJLkPX9uXn5Puxuy7zkDHgkxD2wSE+/Llg6m6pqB1rn7GYVhxAf63ar/yd2k6NS0navx4es4mAMAd/1mBv10/tMFtKm3gauCidD8BoWHJB8qqLet+0m6u2u+1vscbTelSjZepkVfoNjHTdsfYbnhp3jbsO34SXe+frdyfn5kGpyOUqfHVBoAMj6kze8s1UCd0zi/aTJb62FQZZyqLVMCgxgTVFo8m0CNnakzfwBuYqUk0a+sPBFFR7ccr32zHyK4tsWj7UfhqgzitawFW7z2O1XvK4HI68NPTOtf7XIlMUDWia0uM6NoyscY20LNXD8bZf1kQdX+6p/61n1xOR1ICGiB8RS8XWp+oG1HhdMQuwD2ta7i7osrnR5o7PLrs3v+uxqZD5bjxtGLlvtlrQysN3/LmMnz5Y3iW1GuHd8LbdbUNaW4nlj94btQoq3hEmVEYUI+AMndYd6xsgrxY5Jq9Zbj8lA5mNglAopka876/y4a0x0vztkXd73CE2nGiJqBkAM2sV/HWZauO6QT02kwNEBptuflQZcqPgGJQY4KG1B6YTT4RmD2jaVCZfM/Yy75P1x7AvI0l+N+q/ZgxP3wA+sd3kVmZBZv1h1+rWbkmkFqRTiEyAJSf9EdPvqcJapJ5bJVrauQr+qq6K8WstNjr8cgjuoDQAoDDOudjyO/nRjzmd++tibhdPPXTqOeRAxr59Qc8+kVCbQ/XZIjU/WTNrMLab2rJzlBa8I3vd+LRi/sp95t1onZptmk9VnQ/FbfUX5uue6tsZNQFNeHup0jJ/OhaZYeyovuOR3cn6QV9ch1NZYoHNdbv2c2AiEGN3B98qNxXzyONpdTUGPy8U2atUro3UkWsq9Fnv9wcNfmeqWlvJVMT2q7lK7+GTg2wYX95VEBjlHjD7AH1BIbWZ2rCSyWYfJKJsa3cdXZ3ALEzlckO9cMj+mJvzPKIu4ZMuWCUWAMHzu7dWtlH5e3KzCHd8uir77cdjfqdXqZGvpBN9UwNgxoTqGecTHS9o2RpW3fwP1TesAJLoyi7fD1HSEGSJZbr0Tp6aNqjF/VVhnsrMwqbeDCVF/Cbsz7ULST36Td0RMWuo1XJaRjqP/GKskwCEM7UyPMPmUUZgajZycbUzWjdtp7AMFmU7qc4Ebr8O4/LugNE6xwv/nPLCDidDiXjp1y4mnhxoZ2xW00vk5WlDA4R7yLbSOx+MoE8jLRtbjpuaEBNhxna1kX5B8tMDmqUTA2jloYYVlyALSWhVcD/e+tIbDtciWuHd8JjH68HED7ImzltwGLNlaE8gq6hE6Ilc3h3fcFduKbG+us5Odsmr2ZuNu0eKK9HZVX3hN5M1VryNAeuZCw/H8c3vxuLb7YcwZXDOkRkieSMyEklUxP5d8m8OCuME9ToZWqykpypOX6iBnkZHsu7763fs5sB+UAaa2SIFdrUXY0dND1T07AFLSnk95eEahsuP6U9hncpwLXDQ0suhLufUPe/eUGNeqI0IDy6L8ugxfLe+NmpUfdNOSf8ml/8+kzsfGqi0l2iVt/yUtV1bdU76JttSN1cRfEWVk2GWJtKtjfUHVZZrT9BW7JPVs4GBDXy79wmZ2o6FmTiuhGdorq9tN1P2iLsZO6WsWp9AP15fLLrlsdJRlDzyZr9GPz4XPxtfnRBtdmYqTGBkvIWoB9fJmdqTO9+SkJNzYqHxiEvw4OeD34WcUB0Ox14ddIw/LC9FNcN74R2LdLhdjpwoiaAu99ZhbkbDsV5VjG4XU7dZQWcmvoD7YkgmeeflnUFigVZoRFMidbUxPPajcMwpld4Yc8/XzkIVwwNjcT59bieEY+957xeuGZ4J/x32R7sO3YS7y7fW29wJ8+4asWCiFrFdQuZHjU5UxPrwkLuDvMHJdOXTwH0l9/QkmtqEhmhmEzhlc3Nr21zOR24ZHARPtSpJdQL2hu6kHGNP4gXvtqCUd1bYlS3Qny0ej92HqnC5LHdleOO7FhVDX7/yQYl+/r0nE24Y2z0xYaZGNSYQL6SFWHEhUzd/WT2opaAsSdd+eS6/MFzEQhKcDudqKrxK6OHxvaKXP06y+vGqzcO0x1dYxfa+gMzZz6Xu5lKq2rw23dXo1fb0Mim+hYZvHJoB7y7fG/EfYXZaThSGR6Sek6f0Hf11OUD8O3WI7h4UPxJ+4paZODuc3tia0kl3l2+V/cqf+PBclT5/BjauQDH5aDG4Gn+G6Nl3XZ7tKrGmn1Qc2mRmeaCwxHalip8tUpQY9a21ZB5auTvN5G5pJJJzhj5A+YP6QbCxz4tvZqj3Iy6KQROxh5tt2DzYWUdqf8s2Y2P7xyNu95eCQB4Zu5mFGZ7caTSp0yboeenr/2Ahy/qq7u2nRnEOcumMJHmxpDJXWE+f1BZddYM8k5fX01NY44NLTLT0DLbi7xMT8zh0Gp3ndMDLTI9eO/2UYm/mMW0k++ZWSjcMjt8IH13+V48M3czgPqzH3pF8m/dMgKXn9IeAPD0FQOVE/s1wzvhr9edojtJn55YJ8QafxBX/n0RfjJjEb7eeEjZ1ltk1L8Ke7LJJySfP6g7gVqyxNpUHA5HzEUtAfNGP8XL1IQLhcU4dcnt8AfMv7gAwtkXLb0AObfusbHmRVq6s1QJaIDQRcvpT30d8Ri5/itWQAMA3249YnqtphozNUkmSZJQIy5k6R4XctPdKK/240ilD/kxIn6jhUdeNO15HrqwL37/yQbcq+mSSMQ943ri7nN6RMyIaxf1Tb6XTJma2hn5hBzrACtL97jw0eTTcfFfv1Pua5nlxTNXDcYzVw1uUptidV1sP1KppNtvfmOZcn8LATI1mWkupLmdqPEHUVpVY/56PDr7YJrLCZ8/qBTkmsndkCHdwdCxVJhMTV075HZpm57sTzEngW1GnkLgyx9LsPlQBTrkZyj78qHy6oSXm1GbNqE3srxu/LCjFL3aZMet90k2BjVJ9It/LsPWkkpcNLAdACC9gVedZinM8aK82o/DlT70MClV2NCamv7tc2P+7tO7RqNvu1yc368N2jcgIxOP0+kQ5gCZCO3sq1EHUwvWUL1oULt6HzOwQwvsfGoi/rVoJ6prg4Yt5KgUmWre+OZDlbqPF6GmxuFwoF1eOnYdPYFdR08kbQZorXibRprbCfgiV2A3az2jBmVq6oItj8mjn2KJytSYuk53dJfvoI4tcEb3Qt3HdsgPHyvPe3Yh2rfIwPzfjsGfPt9Y79IxH00+He8u24t3lu7BIxf3xaaDFfhmyxG8dN0p6FsUPlY3ZMb2ZGNQkyRHK31KIery3ccAiJWpAULzHGw/XGVqsbDUwHUSBnZogTdvHh6RDpU54IDD4UCHfGNOAslYyTrZwhOVhW6b2f2kJyvNhX5FeQ1+/A0jiw19fZdDv/tpy6EK3ceLskrxoA4tsOvoCSzbVYrRPfRPRkYLdwFHi7tSt0lrPwWCsYew1QpaUyMHgWYWCgPA0M75ys9dCrPw4R2nx3xs33aRF4r7jp/ErqNVUQHN1Am9UX6yVhnJ1KN1NgZ2aIGBHVoIM89aPGLs2Slo5nc7lZ+/2xrqfzR7NEF9QkFBKfaWmrdqayKjn87q2Ur3fqNjEEGOjwlRJt+L0f2U7Djt1OJ8LN15TLndJgmrNidCvnAPSBI+Wr0f7fLScWpxATYdDAU1HfIzsPdYaDsf1LGFRa2MNrxLAT5avR+Lth3F3eea+9p624jHHXmSNpNL4CHdsbjrNjy/UrBvblTTo00O/nnzcKzcfRzXjegU97FulxMvXDtEKfwFgHOfWaj83LttDj6/+0zl9u/G9za+wSYQI4eXYo5U+vDXeVuj7het+6lTXbp7x5HkzfCqZURNjdEn7FjToItMPaeH2QdSILrQ2+o5mOSTiyQBd729Elf+fRH8gSDW7y8HANw40vq0uJ7hXUILfa7bV2baBIrxNhc5U6OuqTFt9FMDZhQWbUi3RzP6aWnd+lkyMz67M3u2wpRzezSoKzfeaMLPppxhZLMsY7+juQ28s3SP7v16EyJZqVur0BT8yZzhVcuIGYWTMRvxz0d3Mfw5k0k9+Z6ZRcIKzVfQOsfaTI1LJ9J96rON2Hf8JNJczoi+/sMmz80UT9e6uWqqagL4y9xNpr623n6UpgQ14UzN/roFE5M9C3hCmRpBamrC3U+hdt333lorm9Mgm5+YgN+N7xV1v9UzARtFjC0jxcSasTFbkH58WeeW4ZqUk6YNKU1sRuHLhrSPui8Z+96vx/XE7WO64ZM7Rxv/5EmgjH6SJMvraYD656hJNr1z3GvfhmoFhhXnIzPNjdO6hrIi8hpHInC7nEpdxGvf7FCu+K2i1NTUtWPnkSq8uWiXKa+tzPkSJ6jxC9v9ZO33log0txO/GtM9IrMzSdBMZmOIdZZNEbGmihYtqOmnqlrv8/DnAEKz88aa0MkIic4orFfEm4zDWbbXjfts1Icc2f1k/utrv4OGrvuULJlpbmR73brrFk2b0AcA8NzVQ/Dp2gO4vp7aA7M9c9UgnPX0fPj8QXyz5QjGNiLoKjtZi9x0d4OutpV9UK+mRs481BUKf7P1SMJtaayGLGjpF7b7Sb/NZo+GSsTSB87Fqj3HseVQhTJrdyoQ6yxrc+c9uyBiCOm4vm2wePtRZZ6MbIuvZrX0DoCn/H6u7rT8QKgI7khlDQqy0uByOlDjD+Lud1aia2E2fnN+dDpT/zlC/2un245F72EpkiVtEvlCNShJlnQ/aadazzBo3afGcjkd6FuUiyU7QjUNbqcD/qCEvAwPercLTVfQNi9dyG7Gzi2z0L11NraWVOJnbyzFFUM7YNqE3spyFGrbD1fi8U824IwerbBsZyk+W3cw4vePX9IP+46fxMsLtkfcP6hjC2wrqYwI+uKOftIJHpK938lZj1jbczAoKaOLRKmDc+vUIKmJPrJycMcWGCxQ4bwRxDrLxvHkk0/i008/xapVq5CWlobjx49b3aQIe0pPRM2J8ezVgzH+uYXKCcDqFH1DFU/9FJueGI8fD1QgEJTQuWUm9h07iUte+i7m36gLoy8Y0Baz1x7ExYOKMKB9Hp6c/WOj26I/dFPsA4UZ1Gs/mbmYpaxjQQY2HChXbmcJMLLv9jHdsGRHKU7rWoDHLu6P91bsxZherYSZfTaecX3bYGvdauz/t3wv/m/5XrTK8SLD40KbXG/ESDMAmL/psO7zPPzhet37V+85HnWf3oSb8gzOck2NmQkR+WuKFdSou6VEGdLtUebW0e9+EqSZzYo9zrIAampqcOWVV2LkyJF4/fXXrW5OhKnvrcEsneLgbK87Ii1vdTGlnl+c0UV34qVeD37e6OecvTZ09fjR6v34aHX0YmtAw1eK1cvoCH7xYwp1qt6K7vxHL+6HOevDC4Ja3f0EhNb4eu/2kehUkIVWOV7cf0Efq5vUYHef2wMzNN3WhytCU9LvLj1h+OtleFz4zy2nRd2vjH7ymz/tv0szPFpLu1itCNw6hdVqqVJ8aye2CWoee+wxAMAbb7xhbUN06AU0FwxoCyByRtNuraybOjqW+y/oowQ18rIJZog106uW3qgWHiYiJ9+zolC4XV4GrhjaAf9Xt0Cl1d1PsqGdC6xuQqN43a6Y+9/PTi/Gu8v2otLnR9fCLDx6cT8cO1GDllle1AaCOLNnK7icDlTXBjBn/UG4nU70apuDYydqcGpxAfYeO4EqXwBbSiqQn5mGwR1bwONy6q6rJdeIyN1P6i0r2ftdfcskVKuWMxFlIlPt6Cctr2DTeDQHYhyJksTn88Hn8ym3y8vL4zy68QZ1bKGkdz+bcgacDkd45WKvGxV1WQkRo3aHwxFRQ1PfytVbnpyAHg98BgAY1jkf3Vpl45dndcU5f1mAu87ujgqfP2LiQdlX956FrSWV2HywAm8u2oU7xnZrUPv0a2rE+xzNpp58z4ruJwB4aGJfJajRWxWYEvP0lYPw1uJd+GbLEaR7nPjTFYPQuSATgzq2wCMX9av379M9LlwyOHq0oDzztnxMisejyTyYuWnJWdlYRbdVNaHjaLrHKVD3k7xMQnSmpn/7XFw7XKyi9OYgpYOa6dOnKxmeZPrwjtNR4w8iEJSiZg3+9r6zcf3ri/GHywYkvR1G++res5S5bNT0ConV98U6AHdrlY3z+7XFnef0aHAbGlpQ3Nyo136SJ21zOMw9CeVmhA8fsU5E1HDn92uL8/u1xc4jVagNBE1bj01NO0+NmQFzfZkaeeHULEGygoAqU6PTZfbJnakxmZ3dWJobe/TRR+FwOOL+W7ZsWf1PFMO0adNQVlam/NuzR39SPCOkuZ26yyDkZXrwyZ1nYGCHFkl7bSPtfGoitjw5ATufmqgb0JjNrCHddqPX/aTuqjPjM3I4HMpcF6d1a2nCKzYPxYVZlgQ0QPSMwurZqpOdIJW36Y0H9dfrkkduibTcjNsVO1ND1rA05J08eTKuueaauI8pLi5u9PN7vV54vdZO325HIo0W0Uszs/dJNfmeapir0+kwfUW9r+89C2Una5u8WjqJQa6zkRe0NHNrUl/AbDlUERXYbasbHZbMebQS5amny4zMZ2lQU1hYiMJCc1amJXvSC2CSPV27Hagn35O7n9Txn1mH2Jx0D3LSPSa9GiWblTU1FdW1ys8na6NnOH95YWjunXZ54owiVUY/WbQGG0UTp3OyHrt370ZpaSl2796NQCCAVatWAQC6d++O7Gzru0koOXRHPzGmUa39FC4U1vusiBKhXaU7ovspyRcTAzrkKT/rDZGWRz+N6ibOhbB6Qct4yzuQeWwT1Dz88MN48803ldtDhgwBAMybNw9jxoyxqFWUbKKMchCNMvpJNaOw6LOXkvjSNDU1Zp6nW+ekozDbiyOVPlT5ojM1cqAzrDjfvEbVQ1n7KWDNzN4UTZziiXq88cYbkCQp6h8DmtQ2cWC7qPt47tZ0P9VdTXOkGDWVdpkEs0/THfJDtVnVOt1Pcp1PmkA1f/I8NNX+QMwJ+Mhc4mwdRDp6t83FnWd3j7iP89Sou5/CV9PqrBY/IWqM8IzCOt1PJmxU6R45SIgOEOTskd6kgVaRl5ooraphsbAgxNk6iGJokxtZGMgTNlCX9Y6oqWGihppKWaXbgkJhILR8AxA/UyPS6MzcuvX8Kn1+1FqxXglFEWfrIIpBe1xlokZ/7SdmsKiplCHdFky+B4SXP9AGNZIkKW0SKaiR58w5WRNgTY0gxNk6iGLQjurhkO7Iyff0MjU8vFJjKDU1OvPUmBHfxMrUqEcWidT9lFk3u7HPH4SvlpkaEYizdRDF4NasK8SEhHbyPQ7pJmPIRbg+f3T3k2RCqOxVgprIAKFGVWMjUqGwOsDSm1uHzCfO1kEUg9upzdRQxNpPdecah8nLJFDq0c4orO5+MiNTIxcKawME9cgikRZPVR+b9OqAyHwMakh4UQkIcY5plnGpFv8LD+m2skWUCrQ1NWpmdGnG6n6S2+N0hGfxFYErIqhh95MIxNk6iGLQXiGypkY1+Z5qenZOvkdNFZWpCZqdqYnf/SRSkTCgydT4makRgVhbCJGOMb1aR9zmuVs1+Z6q+4lBDTWVV7v2k8mvr8xTE9X9VDdHjWBBjcPhULI1PnY/CUGsLYRIR0FWGib0b6vc5qlbNfleELoLWhI1RtQq3SYXCsfqfnqlbjFLESlBjc6EgWQ+BjVkC/LQSYDzsQCq0U+ShAC7n8ggVhcKy6OfPlt3ELuPnlDuf3vJbgBAhc+f/EYkSO6CYqGwGBjUkO3w1B0uCg4EJeVkw6CGmsrqtZ/kTA0ATHlnpcmv3jguJagJZ2pa53itak6zx6CGbEGd+ua5W3/yPX4u1FRypkbpSonI1CQ/xFGPJlq5+3jSX88IciCoztTMnnKGVc1p9hjUkO1w9FNk9xMLhckoaS5t91P4d2asAuDzRy+PIDo5EJODsM4tM1GYzUyNVRjUkP3w3B259pM8o7DqKlekuTzIPryqeWokSTKlOFhNu9RAaVWN8GsqyTU1n68/CADYpaoFIvPxyEe2w4SEZvI9ndFPHg6FokaQu58kKbTeUjBi9FPyndWrVcTtg+XVEbMJi8jFfU0oDGrIdngIiZx8T71MwqhuLQEAPx3Z2aKWkZ2p1zKq8Qcjh3Sb0BXULi8DSx84F9ne0GjHspO1EYtZTr98QNLbkCjtMi5n9WwV45FkBnf9DyESC4d0a9d+CmdqXps0DGv2luHU4gIrm0c25VatteEPRHY/mdUJ1CrHix5tsrFy93FUVPtRq5r/5aphHU1qRcPJE2HmeN2o8PlxwYC29fwFJRODGrIdhjSRo5/UyyRkprlxWteWVjaNbEy9WGRtMDJTY2Z5TU66BwBQWe1Xup+cDjG7euRMjbwIpzrbRebjp0/2oDqgMlGjGv2k6n5yCnjAJ3txOBzKSbo2EIxc+8nEqCYnPXS9XVFdq8yZI9q6TzJXXXZL7iYTtZ3NBT99sh0O6VZNvqfpfiJqKnddtsYf0BQKm5ipyVWCGr+w6z7JtDU1orazueCnT7bDTE147SdJAhZvPwoAWLy91MomUYrwqBa1NHuZBJnc/VThC3c/eQTt1tFmSNn9ZC1++kQ2pJ5o763Fuy1sCaUaOajxq+ZAMluOV9X95Je7n8S8monK1DCosRQ/fbIdZmoirw6vGtYBANCrTY5VzaEUIp+ka/zBiInvrKipKa/2C1+roi1e9jKosRQ/fbId1tREHkhbZKYBAEZ246gnarrITE34fjMn9s2qy9RUqbqfRK1VcTm0NTWuGI8kM4i5lRBpqI+nzNREFgXL6XkRh7uS/XiUQuHI0U9mSq9brftYVY0yT41b1O4nTbs8bjHb2VwwqCHb4SEjsqZGXlFZ27dP1BhupVBYQsCiQmG5C2f13jK88f1OAPbpfiJribmVEMXBGYUjD6TK5GQ8uJIBYo9+Mi+q8XrCXThfbDgU0S7RODXHIxssLJ7SxNxKiOLgqTvyQFrDTA0ZSOl+ClrX/aRXbCtqTc23W49E3G6Tm25RSwhgUEM2xEQNa2ooeeTg2B+QEDB5lW6ZXlAjaq1KjWptqsLsNBRkpVnYGmJQQ7bD7qfQZyDHMHL3EzM1ZAR5UctAUIpcJsHEfpV0T/QIIlG7n9QGd2xhdROaPfG3EgA7d+7Ez3/+c3Tp0gUZGRno1q0bHnnkEdTU1FjdNDKJmQdUu5C7oOS1cVxOW+zOJDg54+cPSpp5asyTmWbPoIYXXNazxSrdGzduRDAYxMsvv4zu3btj3bp1+MUvfoGqqir8+c9/trp5RJZwOh1AUGJNDRnKraqpCVh0MZGhk6kRtabG5XQowZ9VNUgUZougZvz48Rg/frxyu2vXrti0aRNmzJjBoIaaLXnSL45+IiO51DU1QWuGdKfrZGpEnadGHdT4GdRYzhZBjZ6ysjIUFBTEfYzP54PP51Nul5eXJ7tZRKaRY5ga1tSQgdQ1NQGLTtJ6mRo7dD9Z9XlRmPhbiY5t27bhxRdfxG233Rb3cdOnT0deXp7yr2PHjia1kCj5nKo1egCOfiJjuFU1NRHz1JjYBr0ARtSgxh8Ij37yB4NxHklmsHQrefTRR+FwOOL+W7ZsWcTf7N+/H+PHj8eVV16JW265Je7zT5s2DWVlZcq/PXv2JPPtEJlKDmJq68bdMlNDRnDVdfNYmanRkyZo95P6IxLp82quLO1+mjx5Mq655pq4jykuLlZ+3r9/P8aOHYuRI0filVdeqff5vV4vvF5vU5tJAuChIpoy+omZGjKQ2xmu1fJbNKQbAP5y5SDc++5q5baoo/tuPasrXl6wHQBrakRgaVBTWFiIwsLCBj123759GDt2LIYOHYqZM2fCKegGTmQW7ZBuUQspyV7k4Fg7T43ZerfLibhdEwhY1JL47h3XSwlqmKmxni0Khffv348xY8agU6dO+POf/4zDhw8rv2vbtq2FLSOyjlxioIx+4hwZZABP3QWjPyhZNqQbiB7C7asVs14lTTX7sT/AoMZqtghqvvjiC2zduhVbt25Fhw4dIn7HSdmoudJ2P7mZvSQDiFJToy0MrgmIGdSoMVNjPVscBW+66SZIkqT7j6i5Yk0NJUN47aegZfPUAIBHs/6Teo0lUTFZaj1bBDVEFE09nT3A0U9kjFjLJJjNo6kR89kgqCHrMaghW2BSLpo2hnGxUJgM4FYXCkfMU2PuTqitqblnXE9TX78xilpkWN2EZo9BDZFNaZdFYKaGjOB2hQuFrRyirK6p+fOVg9C/fZ5lbanPmzcPx5herfDkZf2tbkqzZ4tCYSKK5tJ04GtvEzWGW5Ah3eqgJidd7FPVWT1b4ayeraxuBoGZGiLb0g7hZqEwGcGlmnxPPaTb9EJhVXcqpyughmJQQ2RT2u4nBjVkhMhMjXXtcDjUQY117SB7YVBDZFPa9f3cgi74R/YSWVMTjmqsLNbXBvBEsYjdUUlUh4OfomlT8iwUJiOoMzXq+e7MHv0EAJcPaY8fD1bg9G4NW06HiEENkU2xpoaSQT1PTdDiuRSeuXowJEmK6Ioiiof5aiKb0gYxzNSQEWLNKGwVBjSUCAY1RDaljWFYU0NGcKkXtLRwmQSixuBRkGyB12rRWFNDyeAWZEFLosZgUENkU9ruJ44QISO41Ws/RSyTQCQ+BjVkCzygRmOmhpLBpYx+CkbOKMydkGyAQQ3ZgsQO/SjazAzrKckI7rqamtqAtWs/ETUGgxoim9Iuys2p5MkI6mUS1KyYp4YoUQxqiGwqap4aBjVkAHnNpRq/hWskEDUSgxoim9J2PzFTQ0aQMzU+BjVkQwxqiGxKm5lxcm8mA8g1NdpMDcvayA54GCRb4PE0WroncvdlpoaMIGdq2P1EdsSghsim0j2uiNtc+4mMIE++V+0PRNzPCwuyAwY1RDalDWKYqCEjZNQFy5XV/oj7Oa0C2QGDGiKb0k62x+4nMkJehgcAOEcN2RKDGiKbcmkqgzmkm4yQWxfUENkRgxoim3K72P1ExsvxunW3JeZtyA4Y1JA98IgaRV1T43QADkY1ZACn04Ecr9vqZhA1CoMaIptyRwQ1DGjIOHmZ0V1QrBMmO2BQQ2RTEZkaDucmA+WxroZsikENkU25Nd1PREbJTdfJ1FjQDqJEMaghsin16Cd2P5GRdDM17H8iG2BQQ2RTHtXoJw7nJiOx+4nsyjZBzcUXX4xOnTohPT0d7dq1ww033ID9+/db3SwyicTkdxR1TQ1jGjIS56ohu7JNUDN27Fj897//xaZNm/Dee+9h27ZtuOKKK6xuFpFlyk7WKj9z3Scykl6mhpcVZAe2mYzg17/+tfJz586dMXXqVFx66aWora2Fx8OrCmp+erTOUX5mTQ0ZiZkasivbZGrUSktL8e9//xujRo1iQEPNlrqmhkO6yUi56ba53iWKYKug5r777kNWVhZatmyJ3bt348MPP4z7eJ/Ph/Ly8oh/RKnC41aPfrKwIZRy3M7oUwMHP5EdWBrUPProo3A4HHH/LVu2THn8b3/7W6xcuRJffPEFXC4XbrzxRkhx9rTp06cjLy9P+dexY0cz3haRKTwc0k1JolejxWJ9sgNLc4yTJ0/GNddcE/cxxcXFys+FhYUoLCxEz5490adPH3Ts2BGLFy/GyJEjdf922rRpuOeee5Tb5eXlDGxsileJ0SK6nxjUkIFYeE52ZWlQIwcpjSFnaHw+X8zHeL1eeL3eRj0/kejcLlWmxlYdySQ6t16mhhcWZAO2qAZbsmQJlixZgtGjRyM/Px/bt2/Hww8/jG7dusXM0hClujRVUMPJ98hILDwnu7LF9V1GRgbef/99nHPOOejVqxduvvlm9O/fHwsWLGAmhpotdXaG3U9kJL1MjTozSCQqW2RqBgwYgK+//trqZhAJpWVWOKDnlTUZSa+mxsNtjGyAoTfZAvvzo7lVhcI83ZCR9IKae8b1tKAlRImxRaaGiKKp62jY+0RGUgc1f7hsACYObMdFLskWmKkhW6gJBK1ugnBcqkwNM1lkJHXA7HY5GNCQbTCoIVu4aVQxAODcPq2tbYhA1CcexjRkJHWmRj0fEpHo2P1EtnBmz1b4furZaJObbnVThKE+8cSbWZsoUep6Lb0lE4hExaCGbKOoRYbVTRBKRFBjYTso9aizgMzUkJ0wBCeyqYgJ9xjVkIHUAbOLmRqyEW6tRDblZKaGkkQd1HjdPE2QfXBrJUoBVT6/1U2gFMKghuyKWytRCiipiL2wK1Gi1MXBaQxqyEa4tRIRUQR1GY3X7bKuIUQJYlBDREQRIjM1HP1E9sGghoiIIqhH1nEFeLITBjVERBTBxcn3yKa4tRIRUUwuTr5HNsIZhYmIKEJWmgujurWEPyChKI9Lk5B9MKghsrH7xvfGc19uxndTz7a6KZRCHA4H/n3LCOVnIrtwSM1oJbzy8nLk5eWhrKwMubm5VjeHiIiIGqCh52/W1BAREVFKYFBDREREKYFBDREREaUEBjVERESUEhjUEBERUUpgUENEREQpgUENERERpQQGNURERJQSGNQQERFRSmBQQ0RERCmBQQ0RERGlBAY1RERElBIY1BAREVFKYFBDREREKcFtdQPMJEkSgNAS5kRERGQP8nlbPo/H0qyCmoqKCgBAx44dLW4JERERJaqiogJ5eXkxf++Q6gt7UkgwGMT+/fuRk5MDh8Nh2POWl5ejY8eO2LNnD3Jzcw17Xjvge+d7b07vvbm+b4Dvne/d2vcuSRIqKipQVFQEpzN25UyzytQ4nU506NAhac+fm5vb7DZ4Gd8733tz0lzfN8D3zvdunXgZGhkLhYmIiCglMKghIiKilMCgxgBerxePPPIIvF6v1U0xHd8733tz0lzfN8D3zvduj/ferAqFiYiIKHUxU0NEREQpgUENERERpQQGNURERJQSGNQQERFRSmBQY4C//e1v6NKlC9LT0zF06FB88803VjcpIQsXLsRFF12EoqIiOBwO/O9//4v4vSRJePTRR1FUVISMjAyMGTMG69evj3iMz+fDnXfeicLCQmRlZeHiiy/G3r17Ix5z7Ngx3HDDDcjLy0NeXh5uuOEGHD9+PMnvLrbp06fj1FNPRU5ODlq3bo1LL70UmzZtinhMqr73GTNmYODAgcqEWiNHjsRnn32m/D5V37fW9OnT4XA4cPfddyv3pfJ7f/TRR+FwOCL+tW3bVvl9Kr/3ffv24ac//SlatmyJzMxMDB48GMuXL1d+n6rvvbi4OOo7dzgcuOOOOwCk4PuWqElmzZoleTwe6dVXX5U2bNggTZkyRcrKypJ27dplddMabPbs2dIDDzwgvffeexIA6YMPPoj4/VNPPSXl5ORI7733nrR27Vrp6quvltq1ayeVl5crj7ntttuk9u3bS3PnzpVWrFghjR07Vho0aJDk9/uVx4wfP17q37+/9P3330vff/+91L9/f+nCCy80621GOf/886WZM2dK69atk1atWiVNnDhR6tSpk1RZWak8JlXf+0cffSR9+umn0qZNm6RNmzZJ999/v+TxeKR169ZJkpS671ttyZIlUnFxsTRw4EBpypQpyv2p/N4feeQRqV+/ftKBAweUfyUlJcrvU/W9l5aWSp07d5Zuuukm6YcffpB27Nghffnll9LWrVuVx6Tqey8pKYn4vufOnSsBkObNmydJUuq9bwY1TTR8+HDptttui7ivd+/e0tSpUy1qUdNog5pgMCi1bdtWeuqpp5T7qqurpby8POnvf/+7JEmSdPz4ccnj8UizZs1SHrNv3z7J6XRKn3/+uSRJkrRhwwYJgLR48WLlMYsWLZIASBs3bkzyu2qYkpISCYC0YMECSZKa13uXJEnKz8+XXnvttWbxvisqKqQePXpIc+fOlc466ywlqEn19/7II49IgwYN0v1dKr/3++67Txo9enTM36fye9eaMmWK1K1bNykYDKbk+2b3UxPU1NRg+fLlOO+88yLuP++88/D9999b1Cpj7dixAwcPHox4j16vF2eddZbyHpcvX47a2tqIxxQVFaF///7KYxYtWoS8vDyMGDFCecxpp52GvLw8YT6rsrIyAEBBQQGA5vPeA4EAZs2ahaqqKowcObJZvO877rgDEydOxLnnnhtxf3N471u2bEFRURG6dOmCa665Btu3bweQ2u/9o48+wrBhw3DllVeidevWGDJkCF599VXl96n83tVqamrw1ltv4eabb4bD4UjJ982gpgmOHDmCQCCANm3aRNzfpk0bHDx40KJWGUt+H/He48GDB5GWlob8/Py4j2ndunXU87du3VqIz0qSJNxzzz0YPXo0+vfvDyD13/vatWuRnZ0Nr9eL2267DR988AH69u2b8u971qxZWLFiBaZPnx71u1R/7yNGjMA///lPzJkzB6+++ioOHjyIUaNG4ejRoyn93rdv344ZM2agR48emDNnDm677Tbcdddd+Oc//wkg9b932f/+9z8cP34cN910E4DUfN/NapXuZHE4HBG3JUmKus/uGvMetY/Re7won9XkyZOxZs0afPvtt1G/S9X33qtXL6xatQrHjx/He++9h0mTJmHBggXK71Pxfe/ZswdTpkzBF198gfT09JiPS8X3DgATJkxQfh4wYABGjhyJbt264c0338Rpp50GIDXfezAYxLBhw/CHP/wBADBkyBCsX78eM2bMwI033qg8LhXfu9rrr7+OCRMmoKioKOL+VHrfzNQ0QWFhIVwuV1QkWlJSEhX52pU8MiLee2zbti1qampw7NixuI85dOhQ1PMfPnzY8s/qzjvvxEcffYR58+ahQ4cOyv2p/t7T0tLQvXt3DBs2DNOnT8egQYPw/PPPp/T7Xr58OUpKSjB06FC43W643W4sWLAAL7zwAtxut9KuVHzverKysjBgwABs2bIlpb/3du3aoW/fvhH39enTB7t37waQ+vs6AOzatQtffvklbrnlFuW+VHzfDGqaIC0tDUOHDsXcuXMj7p87dy5GjRplUauM1aVLF7Rt2zbiPdbU1GDBggXKexw6dCg8Hk/EYw4cOIB169Ypjxk5ciTKysqwZMkS5TE//PADysrKLPusJEnC5MmT8f777+Prr79Gly5dIn6fyu9djyRJ8Pl8Kf2+zznnHKxduxarVq1S/g0bNgzXX389Vq1aha5du6bse9fj8/nw448/ol27din9vZ9++ulR0zVs3rwZnTt3BtA89vWZM2eidevWmDhxonJfSr5v00qSU5Q8pPv111+XNmzYIN19991SVlaWtHPnTqub1mAVFRXSypUrpZUrV0oApGeeeUZauXKlMiz9qaeekvLy8qT3339fWrt2rXTttdfqDvnr0KGD9OWXX0orVqyQzj77bN0hfwMHDpQWLVokLVq0SBowYIClQx1vv/12KS8vT5o/f37EkMcTJ04oj0nV9z5t2jRp4cKF0o4dO6Q1a9ZI999/v+R0OqUvvvhCkqTUfd961KOfJCm13/u9994rzZ8/X9q+fbu0ePFi6cILL5RycnKU41WqvvclS5ZIbrdbevLJJ6UtW7ZI//73v6XMzEzprbfeUh6Tqu9dkiQpEAhInTp1ku67776o36Xa+2ZQY4CXXnpJ6ty5s5SWliadcsopypBgu5g3b54EIOrfpEmTJEkKDXd85JFHpLZt20per1c688wzpbVr10Y8x8mTJ6XJkydLBQUFUkZGhnThhRdKu3fvjnjM0aNHpeuvv17KycmRcnJypOuvv146duyYSe8ymt57BiDNnDlTeUyqvvebb75Z2WZbtWolnXPOOUpAI0mp+771aIOaVH7v8hwkHo9HKioqki6//HJp/fr1yu9T+b1//PHHUv/+/SWv1yv17t1beuWVVyJ+n8rvfc6cORIAadOmTVG/S7X37ZAkSTI3N0RERERkPNbUEBERUUpgUENEREQpgUENERERpQQGNURERJQSGNQQERFRSmBQQ0RERCmBQQ0RERGlBAY1RCS0+fPnw+Fw4Pjx41Y3hYgEx8n3iEgoY8aMweDBg/Hcc88BCK1FU1paijZt2gix0jERicttdQOIiOJJS0tTVhMmIoqH3U9EJIybbroJCxYswPPPPw+HwwGHw4E33ngjovvpjTfeQIsWLfDJJ5+gV69eyMzMxBVXXIGqqiq8+eabKC4uRn5+Pu68804EAgHluWtqavC73/0O7du3R1ZWFkaMGIH58+db80aJKCmYqSEiYTz//PPYvHkz+vfvj8cffxwAsH79+qjHnThxAi+88AJmzZqFiooKXH755bj88svRokULzJ49G9u3b8dPfvITjB49GldffTUA4Gc/+xl27tyJWbNmoaioCB988AHGjx+PtWvXokePHqa+TyJKDgY1RCSMvLw8pKWlITMzU+ly2rhxY9TjamtrMWPGDHTr1g0AcMUVV+Bf//oXDh06hOzsbPTt2xdjx47FvHnzcPXVV2Pbtm14++23sXfvXhQVFQEAfvOb3+Dzzz/HzJkz8Yc//MG8N0lEScOghohsJzMzUwloAKBNmzYoLi5GdnZ2xH0lJSUAgBUrVkCSJPTs2TPieXw+H1q2bGlOo4ko6RjUEJHteDyeiNsOh0P3vmAwCAAIBoNwuVxYvnw5XC5XxOPUgRAR2RuDGiISSlpaWkSBrxGGDBmCQCCAkpISnHHGGYY+NxGJg6OfiEgoxcXF+OGHH7Bz504cOXJEybY0Rc+ePXH99dfjxhtvxPvvv48dO3Zg6dKl+OMf/4jZs2cb0GoiEgGDGiISym9+8xu4XC707dsXrVq1wu7duw153pkzZ+LGG2/Evffei169euHiiy/GDz/8gI4dOxry/ERkPc4oTERERCmBmRoiIiJKCQxqiIiIKCUwqCEiIqKUwKCGiIiIUgKDGiIiIkoJDGqIiIgoJTCoISIiopTAoIaIiIhSAoMaIiIiSgkMaoiIiCglMKghIiKilMCghoiIiFLC/wOi5pfg/utMSAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "plt.plot(X_traj_train[0,:])\n",
+    "plt.xlabel('time')\n",
+    "plt.ylabel('a.u.')\n",
+    "plt.title('example trace')\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/tm_srs/test_rocket.ipynb b/tm_srs/test_rocket.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..6c7a3a5ef4bc0d6b5feea572667007760e690854
--- /dev/null
+++ b/tm_srs/test_rocket.ipynb
@@ -0,0 +1,239 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "d8d8bfdf-e92f-4cf1-9ef4-21531d69edb7",
+   "metadata": {},
+   "source": [
+    "## Example of Rocket classifier\n",
+    "\n",
+    "Adapted from http://www.sktime.net/en/latest/api_reference/auto_generated/sktime.transformations.panel.rocket.Rocket.html#sktime.transformations.panel.rocket.Rocketperformance "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "7f795133",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from scipy.io import arff\n",
+    "\n",
+    "from sktime.datasets import load_from_arff_to_dataframe, load_basic_motions\n",
+    "from sktime.transformations.panel.rocket import Rocket\n",
+    "from sklearn.linear_model import RidgeClassifierCV\n",
+    "\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "cdf3fbae-fc89-40d1-b47c-38189a97a491",
+   "metadata": {},
+   "source": [
+    "We firstly load the data."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "04f19b56",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "dataset = 'FordA'\n",
+    "#dataset = 'Cricket'\n",
+    "#dataset = 'Phoneme'\n",
+    "\n",
+    "X_train, y_train = load_from_arff_to_dataframe('{0}/{0}_TRAIN.arff'.format(dataset))\n",
+    "X_test, y_test = load_from_arff_to_dataframe('{0}/{0}_TEST.arff'.format(dataset))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "f9a0b4f5",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# example of time series\n",
+    "plt.plot(X_train.iloc[0,0])\n",
+    "plt.xlabel('time')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "2e5c466d-56a0-4d24-8314-cce7f3f46197",
+   "metadata": {},
+   "source": [
+    "Here we use separately `Rocket` as a transformer and `RidgeClassifierCV` for the classification based on the transformed features. Note that this it is equivalent to using `RocketClassifier` (http://www.sktime.net/en/latest/api_reference/auto_generated/sktime.classification.kernel_based.RocketClassifier.html)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "b23b1bbb",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# use Rocket to transform the time series\n",
+    "rocket = Rocket()\n",
+    "rocket.fit(X_train)\n",
+    "X_train_transform = rocket.transform(X_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "586f11ee",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<style>#sk-container-id-1 {color: black;background-color: white;}#sk-container-id-1 pre{padding: 0;}#sk-container-id-1 div.sk-toggleable {background-color: white;}#sk-container-id-1 label.sk-toggleable__label {cursor: pointer;display: block;width: 100%;margin-bottom: 0;padding: 0.3em;box-sizing: border-box;text-align: center;}#sk-container-id-1 label.sk-toggleable__label-arrow:before {content: \"â–¸\";float: left;margin-right: 0.25em;color: #696969;}#sk-container-id-1 label.sk-toggleable__label-arrow:hover:before {color: black;}#sk-container-id-1 div.sk-estimator:hover label.sk-toggleable__label-arrow:before {color: black;}#sk-container-id-1 div.sk-toggleable__content {max-height: 0;max-width: 0;overflow: hidden;text-align: left;background-color: #f0f8ff;}#sk-container-id-1 div.sk-toggleable__content pre {margin: 0.2em;color: black;border-radius: 0.25em;background-color: #f0f8ff;}#sk-container-id-1 input.sk-toggleable__control:checked~div.sk-toggleable__content {max-height: 200px;max-width: 100%;overflow: auto;}#sk-container-id-1 input.sk-toggleable__control:checked~label.sk-toggleable__label-arrow:before {content: \"â–¾\";}#sk-container-id-1 div.sk-estimator input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-label input.sk-toggleable__control:checked~label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 input.sk-hidden--visually {border: 0;clip: rect(1px 1px 1px 1px);clip: rect(1px, 1px, 1px, 1px);height: 1px;margin: -1px;overflow: hidden;padding: 0;position: absolute;width: 1px;}#sk-container-id-1 div.sk-estimator {font-family: monospace;background-color: #f0f8ff;border: 1px dotted black;border-radius: 0.25em;box-sizing: border-box;margin-bottom: 0.5em;}#sk-container-id-1 div.sk-estimator:hover {background-color: #d4ebff;}#sk-container-id-1 div.sk-parallel-item::after {content: \"\";width: 100%;border-bottom: 1px solid gray;flex-grow: 1;}#sk-container-id-1 div.sk-label:hover label.sk-toggleable__label {background-color: #d4ebff;}#sk-container-id-1 div.sk-serial::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: 0;}#sk-container-id-1 div.sk-serial {display: flex;flex-direction: column;align-items: center;background-color: white;padding-right: 0.2em;padding-left: 0.2em;position: relative;}#sk-container-id-1 div.sk-item {position: relative;z-index: 1;}#sk-container-id-1 div.sk-parallel {display: flex;align-items: stretch;justify-content: center;background-color: white;position: relative;}#sk-container-id-1 div.sk-item::before, #sk-container-id-1 div.sk-parallel-item::before {content: \"\";position: absolute;border-left: 1px solid gray;box-sizing: border-box;top: 0;bottom: 0;left: 50%;z-index: -1;}#sk-container-id-1 div.sk-parallel-item {display: flex;flex-direction: column;z-index: 1;position: relative;background-color: white;}#sk-container-id-1 div.sk-parallel-item:first-child::after {align-self: flex-end;width: 50%;}#sk-container-id-1 div.sk-parallel-item:last-child::after {align-self: flex-start;width: 50%;}#sk-container-id-1 div.sk-parallel-item:only-child::after {width: 0;}#sk-container-id-1 div.sk-dashed-wrapped {border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-1 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-1 div.sk-label-container {text-align: center;}#sk-container-id-1 div.sk-container {/* jupyter's `normalize.less` sets `[hidden] { display: none; }` but bootstrap.min.css set `[hidden] { display: none !important; }` so we also need the `!important` here to be able to override the default hidden behavior on the sphinx rendered scikit-learn.org. See: https://github.com/scikit-learn/scikit-learn/issues/21755 */display: inline-block !important;position: relative;}#sk-container-id-1 div.sk-text-repr-fallback {display: none;}</style><div id=\"sk-container-id-1\" class=\"sk-top-container\"><div class=\"sk-text-repr-fallback\"><pre>RidgeClassifierCV(alphas=array([1.00000000e-03, 4.64158883e-03, 2.15443469e-02, 1.00000000e-01,\n",
+       "       4.64158883e-01, 2.15443469e+00, 1.00000000e+01, 4.64158883e+01,\n",
+       "       2.15443469e+02, 1.00000000e+03]))</pre><b>In a Jupyter environment, please rerun this cell to show the HTML representation or trust the notebook. <br />On GitHub, the HTML representation is unable to render, please try loading this page with nbviewer.org.</b></div><div class=\"sk-container\" hidden><div class=\"sk-item\"><div class=\"sk-estimator sk-toggleable\"><input class=\"sk-toggleable__control sk-hidden--visually\" id=\"sk-estimator-id-1\" type=\"checkbox\" checked><label for=\"sk-estimator-id-1\" class=\"sk-toggleable__label sk-toggleable__label-arrow\">RidgeClassifierCV</label><div class=\"sk-toggleable__content\"><pre>RidgeClassifierCV(alphas=array([1.00000000e-03, 4.64158883e-03, 2.15443469e-02, 1.00000000e-01,\n",
+       "       4.64158883e-01, 2.15443469e+00, 1.00000000e+01, 4.64158883e+01,\n",
+       "       2.15443469e+02, 1.00000000e+03]))</pre></div></div></div></div></div>"
+      ],
+      "text/plain": [
+       "RidgeClassifierCV(alphas=array([1.00000000e-03, 4.64158883e-03, 2.15443469e-02, 1.00000000e-01,\n",
+       "       4.64158883e-01, 2.15443469e+00, 1.00000000e+01, 4.64158883e+01,\n",
+       "       2.15443469e+02, 1.00000000e+03]))"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# apply the classifier\n",
+    "classifier = RidgeClassifierCV(alphas=np.logspace(-3, 3, 10))\n",
+    "classifier.fit(X_train_transform, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "cb06cf9a-7b48-4f8d-bb73-1bd76acbf206",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9958344904193279"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# train accuracy\n",
+    "classifier.score(X_train_transform, y_train)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "b609e648",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# apply the same transform to test data\n",
+    "X_test_transform = rocket.transform(X_test)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "3872292c",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0.9037878787878788"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# test accuracy\n",
+    "classifier.score(X_test_transform, y_test)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "387e04fb-86d0-49a4-8506-f44165557c35",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "Exercises:\n",
+    "- Evaluate the effect of the number of kernels (`num_kernels` in [10,100,1000,10000]) on the classification accuracy (train and test). More kernels correspond to more resources (projection of data in higher dimension).\n",
+    "- Try other datasets, cf. https://www.timeseriesclassification.com/dataset.php.\n",
+    "- Try other classifiers, cf. http://www.sktime.net/en/latest/api_reference/classification.html.\n",
+    "\n",
+    "For example, the CNN relies on kernels that are trained to extract information from the time series. For the CNN, the number and size of kernels (xxx) are resources for the optimization, like `num_kernels` for `RocketClassifier`. You can thus compare the accuracy of `CNNClassifier` and `RocketClassifier`, as well as the speed for training."
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/unsup_lrn/PCA_vs_LDA.ipynb b/unsup_lrn/PCA_vs_LDA.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..1a325453b7fd7cb1c61c72644de6da616387d17e
--- /dev/null
+++ b/unsup_lrn/PCA_vs_LDA.ipynb
@@ -0,0 +1,246 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "866dca52",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import scipy.spatial.distance as ssd\n",
+    "\n",
+    "import sklearn.discriminant_analysis as sda\n",
+    "import sklearn.metrics as sm\n",
+    "\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16450559",
+   "metadata": {},
+   "source": [
+    "We generate samples that are divides in groups, each following a certain distribution."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "a4614df7",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# sample properties\n",
+    "d = 4 # number of dimensions\n",
+    "c = 3 # number of classes\n",
+    "n = 30 # number of samples per class\n",
+    "\n",
+    "# properties of groups (TO DO: play with variance scaling)\n",
+    "# means\n",
+    "m_gp = np.zeros([c,d])\n",
+    "m_gp[:,0] = np.linspace(0,1,c) # difference in mean between groups along 1st dimension\n",
+    "# standard deviations\n",
+    "std_gp = np.ones([c,d]) \n",
+    "std_gp[:,0] *= 0.2 # along dimension 0\n",
+    "std_gp[:,1:] *= 2.0 # along dimension 1 (and higher if there are)\n",
+    "\n",
+    "# samples in d dimensions and labels\n",
+    "x = np.zeros([n*c,d])\n",
+    "x_label = np.zeros([n*c])\n",
+    "for i_c in range(c):\n",
+    "    for i_n in range(n):\n",
+    "        x[i_c*n+i_n,:] = m_gp[i_c,:] + np.random.randn(d) * std_gp[i_c,:]\n",
+    "    x_label[i_c*n:(i_c+1)*n] = i_c"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4c7d3b5d",
+   "metadata": {},
+   "source": [
+    "Let visualize the data with a plot in a 2-dimension plane (projection)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "bfb881fd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# dimensions to plot\n",
+    "d0 = 0\n",
+    "d1 = 1\n",
+    "\n",
+    "# colors and markers for plots\n",
+    "mks = ['x','o','v','s']\n",
+    "cols = ['r','g','b','m']\n",
+    "\n",
+    "plt.figure()\n",
+    "for i_c in range(c):\n",
+    "    plt.scatter(x[i_c*n:(i_c+1)*n,d0], x[i_c*n:(i_c+1)*n,d1], marker=mks[i_c], color=cols[i_c])\n",
+    "plt.xlabel('dim {}'.format(d0))\n",
+    "plt.ylabel('dim {}'.format(d1))\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "3c1eeb2c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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jPDK2dO0kVZb/70BtTZEiqpryv7ptzSRrx/VebY1ELY2d0CDTPQhqAKuFQlJdnbR4sRQMxp8LBo3jdXUENiNQ3BPUxnP/MJCt6ZdXG9/9qop7gsN8ZY7H9V62RiJLYyc0yHQPghrAar290unT0tGjxjpjM7AJBo3HR48a53t7rRylc7z3vi0906zK4hOSpKriE7rtzHfj31+LLF8u7d8vLVtm6TAQgwaZ7kFQA1jN75fa2oz5CDOw2bdvMKCpqjLO+/3WjtMJuroG3rfiqunaeN94STJqaaqmD76/6ab68sDjkebNS17eDeuwebB7ENQAdhAIxAc2CxfGBzQBa4pbHaekRCorG3jfljdNMrIid00afH/LyozrgPewebB7sKQbsJN9+4yAxrR3r7RgwZBfYsetASwVChlTdakyW11dRkDjy1+PGjhHqj41gdIAmwfbQKb3b4IawC5ia2hMGWRq2tqk2trhn54NE4HhRfojNMi0IYKaFAhqYFuxAU1VlbRtm7RiRUZTUIlN3RLR5A2A09F8D3CKmOLWgQBmwYLk4uE0xa2JTd0S0eQNQKFwTFCzadMmzZs3TyUlJSorK9Mtt9yiQ4cOWT0sYOwSilsHMjKxxcPDFLeyYSIAOCioaW9v15o1a/TCCy9o9+7devfdd3XjjTfq7NmzVg8NGBufT2ptldrbk6eYAgHjeGvrkMWt6bI1ZGkAFBLH1tScOXNGZWVlam9v10c+8pGMvoaaGrgZGyYCcKtM79+O/VUXeq9l/MSJE9Ne09fXp76Yda7hcDjn40L2sAphZMxszcqVxmOyNAAKjSMzNf39/VqyZIn+8pe/6Fe/+lXa677+9a9ro7nRSgwyNfaXql+Ev9Sv5rpm+kUMwczWHDtm1NKQpQHgBq5e/bRmzRq99tprevLJJ4e8bv369QqFQgMfQYv3fEFmWg62qGFHQ9Kuud3hbjXsaFDLwRaLRmZ/bJgIoJA5LlOzdu1aPfPMM3r++edVWVk5oq+lpiYzVk77RPojqmiuSApoTB555C/161jTMaai0ohGpQMHpLlz2V8IgDu4rqYmGo3q85//vJ5++mm1tbWNOKBBZqye9uk40ZE2oJGkqKIKhoPqONGhmoqanI/HicwNE5F91HkB9uaYoGbNmjV64okn9Mwzz6ikpESnTp2SJPl8Pl144YUWj84dzGmfqOKTd+a0z87GnTkPbHp6e7J6HZAtVgf8AIbnmJqahx56SKFQSDU1NSovLx/4eOqpp6wemitE+iNqam1KCmgkDRxb17pOkf5ITsdRXlKe1euAbKDOC3AGx2RqHFb64zh2mfapnlYtf6lf3eHulAGWWVNz3eRq/fjH7EyN3Bsu4PfIo3Wt63TzlTczFQVYzDFBDXLLLtM+3iKvmuua1bCjQR554m4kHhlVr1vqtmj/i141Ng7/fOxMjbGyS8APYHiOmX5Cbtlp2qd+Vr12Nu7U1Ivjv5e/1D9Q17OookuV0yNpV/eYex4tWpTz4cLl7BLwAxgemRpIynzap3padV7GUz/let28M6AOT1Q93/yqyitmD640CQZVfH2NNhav1MrohpRfTzddZIudAn4AQyNTA0mD0z7S4DSPKXbaJ281A7298p4+o5rOHi298zuq8c4YCGhUUyMdPaql/T9SZeAcO1Mjp8yAP/HfhckjjwKlgbwF/ADSI6jBgIFpn9Kpccdjp33yxu+X2tqM6OToUSOQ2bdvIKBRVZWK25/Txn8pZmdq5JTtAn4AaTmuo/BY0FE4M7ZqMBaTmRlQVWUEPIGAK3am7uuTdu1iJZfdpepTEygNaEvdFvrUADmW6f2boAb2t2+ftHDh4OO9e6UFCwYebts2uDO1+Xj58tF/u3wHdW1tUm3t8Nexkst6tgr4gQJCUJMCQY0DDZOpkbK7M7UVXWMTs02JnJh9AoBscvUu3SgQsQFNVZWRoYmtsXlv1/Vs7UxtVddYc/zp/rygRghJQiGpK03vnK4u4zxQgMjUwJ66uqTFiwcDGjMzkxjotLdLfv+Yd6a2enfwdNkaO2RpbFXzEwpJvb1GIXmiri6ppETy+XI8CIuFQlJdnXT6dFzGUtLgv4+yMqm11bL3wlY/M3AF1+3SjQJTUmL8Ypbif3EHAsZj8xd3SYmkse9MbXXXWDNbE1sbJNkjS9PZKXt0b3bAzTwvenuN98DMWKYK+M3rLHofbPMzg4LD9BPsyeczbk7t7fE3L8l43N6e1ZuXHbrGLl0qVVYOZprs0m9n0aL4cSXKW/fmxJv5e9OPcTfz06eN69wsg3YHamtLnc3KE9v8zKDgENTAvny+9L+Y/f6s/hVqh66xibU1dsjSpBpXoryN0wE387wxM5bme7FwYfJUrYVs8zODgkNNDaDBmprhtonIVU2NKZsruXIxLlvU/GSwIq5gDNPuwEq2+pmB47H6CRgBu3SNzdZKrmxL95e3JX9xBwJGM6JY27bZO6DJxWqlYFBasSL+2IoVg9NyFrPVzwwKBkEN8B67bBOxfLm0f7+0bFlevl3GbFPzY/ObeRKzwHnx4uQxBoPG8bq6kQU2GbY7sJptfmZQMJh+guuMdTkpXWPTy3b35hFLvJlv22YENDaqJ0kywvYEeX++HLP8ZwauQEfhFAhqCgPbDuSOpTU/DruZx8lmMOawpe12rRODs+SspiYSicQ9fvHFF/X888/r3XffHfkogRwYbjmpxyNdeqn03/8tPf649OMfD53VwSBLa37M3kWJQUDsSqCY3kW2ks3VSnludzBWdq0TgztlnKnp6enRrbfeqhdeeEELFy7UT3/6U61YsUI/+9nPJElXXHGF2traVF6euyWvY0WmpnA6fSamvIdD1iZzY+3ePCZO7yhs49VKuWTpzwxcIevTTytXrtSRI0d077336kc/+pGCwaC8Xq+2b9+uSCSi22+/XXPmzNH3vve9rL2IbCOoKZypmdiU91A8HumSS6T77pMuusj5wRxsjKXowKhlPaiZMmWKWlpa9OEPf1h//vOfdckll2j37t26/vrrJUm//OUvtXr1ah05ciQ7ryAHCGoKa0fokWZrJOcHc7ApJxY4AzaS9b2f3nrrLU2daix1nThxoi666CJNnz594Pzll1+unp7ctZBHdqTbY8jkph4SS5dKGzYMn62RBoM52rYj67q6krsex+5hZi7DtmOBc4xCmbqGs2V86yorK1NPT48C7/01sXbtWk2cOHHg/FtvvaXx48dnf4TIOvNmn67Tp1t6SAwXwMVyUzAHmxnh5qw5N8q6JDaphBNkvPppzpw56uzsHHj8rW99Ky6o+dWvfqWrr746u6NDThRSp0+z+ZckedO0mhlRQ7BcdIaFu9lptdIYGgGySSWcIOOg5plnnlFTU1Pa8/PmzVNzc3NWBoXcK5ROn7HLSf/P/0l9TcbBnHlDqK42Wv7GMm8IH/2odOLEmMcNl8nj5qxDGsNO52xSCSeg+V4BK5ROn+Zy0jlzBoukTSMqjO7qMgKa48eNi3/1K2n+/PgbQnGxdNVVRg7ezkuLUbjGULTMJpWwChtaYlixUzNuzNKYPB5p3jzpvPOkf/qn+HMj+uvS75eeesq4+Nw5I8/+9NPxAc25c4M1C4AdjaERYCFNXcOZCGoKWCF2+ly+3Oh/Nupg7rrrjAyNGcDU18cHNOaNwcarWICx7HReKFPXcCaCmgJn1x2hc8Xjkf72b8cYzM2fL+3YEX8sNqCh3wjsbgw7nSdma8jSwE4IagqcOTVTaK3LxxTMBYPSl76UfHzzZgIa2F9iTc3evYNTUbHFw0MolKlrOM+Ygpq3335b4XA47gNwglEHc4lFwbEaG6UXX8zWEIHsS9UIcMGC+Bqbmpr0bQveU4hT13CGEQc1x44d08c+9jGNHz9ePp9PEyZM0IQJE/S+971PEyZMyMUYAXuIvSHE1tC0tMQXDycu9y5k9PWxlyzudF5oU9dwhhHH18uXL1c0GtUPf/hDTZ48WZ5Cm7fA8Jy+k3I6JSXS+96XXBQcCBjFw4sWGcc/+Umpo4NiYbOvz+nTybVGZsarrCx/jecw2Agw1b9PsxFghv8+zWwnYCcjDmp++9vf6uWXX9aVV16Zi/HA6dx8I/P5jCXct9xivM7Y1zd/vlGb8MlPSpddlr+W93aW2OjNfL8Sd6vu7XXez4KT+Xzp3+9CD8TheCOefpo3b56CGRSSoUCNoWOpI0ybZjTWS9Xy/rrrjAyNEwO2XPD7k2s19u1LrungRgogS0bcUfjIkSP67Gc/q+XLl2v27Nk677zz4s7bef8nOgrnyRg6lsKFEjMzEj8HAEYk0/v3iKefzpw5oyNHjmjVqlUDxzwej6LRqDwejyKRyOhGDPeI3X3Y7FgqcSOT1Ncn7dplfE5n3DhpyRLjsyuYjd7MnwMp40ZvADASIw5q/v7v/17XXHONtm/fTqEw0uNGllJnp7Hyezh79hgxoSuka/RW4AEugOwb8fTT+PHj9dvf/laXX355rsaUM0w/5RFTDiml2xDQ5LqNAZmKRD64dcUlBuRsQ8uPfvSj+u1vfzumwcE6kf6I2o63afur29V2vE2R/hxMF2ahY6lbpdsQ0OSqlvNZavQGDMlccbl4cfLvlmDQOF5XR0+kAjHiX50f//jH9YUvfEGvvvqqrrrqqqRC4SVLlmRtcMiuloMtamptUld48CbiL/Wrua5Z9bPqs/NNUt3IEmtsamqM1UNjWfXi4L/Mli6VNmxIztaYWRrXtJw3G71JqRu9mcv7Wf6OsaB1AGKMePqpqCh9csfuhcKFPP3UcrBFDTsaFFX8/26PjJqonY07sxPY5KNPjQt64WzbJq1cmfr48uX5H0/OODj4hIMwzel6md6/RxzUOFmhBjWR/ogqmiviMjSxPPLIX+rXsaZj8hZ5x/4Nc30j6+oyUsqJv7De+8UWOXZUHR8uV8+mr6p8+mxVT6vOzuvKosTaGtfV0gD5Rh2fq+WspgbO03GiI21AI0lRRRUMB9VxoiM739DnSz+15PeP/S/zIZq6tYw7qooveVV7U49ub/u8arfWqqK5Qi0HW8b2PbMssbbGVbU0gBXMFZexWHFZcDL6Ffrd735Xn/70p3XBBRfou9/97pDX3nXXXVkZGLKnp7cnq9fZQopeOC2zpIZGKeqJnwLtDnerYUdD9qbYssSsrTl2zIjPXFNLA1iB1gFQhtNPlZWVOnDggCZNmqTKysr0T+bx6Ghs6s9mCnX6qe14m2q31g573Z5P7VFNRU3uB5RN+/ZJCxcq4pEq1kldaZJAWZ9iyxKztsZ1tTQYHvVG2UNNjetRU5NCoQY1Zk1Nd7g7qVBYsu8Nf1gxv8jaKqTaO4b/ErsFbtGodOCANHeusesxCoQNit1d0916mBq7geNjXXEJS+VsmwQ4j7fIq+a6ZjXsaJBHnrjAxlz9tKVui2MDGlVVqedfV0qvfX3YL7PbFJvHI82bZ/UokHc2WIbsmu7WtA5AjIyCmrvvvjvjJ3zggQdGPRjkTv2seu1s3JmyT82Wui22qjUZVopeOOWRI9Jrw39peUl5zocHDMssdo/t3ZRqyiSHmYVFi6TKyuG7Wy9alLMhZIfPZ2S0Uk3lBQJGhoapvIKRUVDz61//Ou7xK6+8onPnzunKK6+UJL3xxhvyer269tprsz9CZE39rHrdfOXN6jjRoZ7eHpWXlNtyufOwUvxlVt0/Rf5S/7BTbNXTqvM7ViAdizd+NVfgpeqXJDlsRZ7Plz5oYcqpoIy4puaBBx5QW1ubtm7dqgkTJkiS3nrrLa1atUrV1dX64he/mJOBZkOh1tS4UooiS7PBoKSUU2x2W/0ESBoodh+wd6+xnUQepNuLjL5JsJucFQpPnTpVv/jFL/Q3f/M3ccdfe+013XjjjTp58uToRpwHjg9qWC0xrFRbQQRKA86bYkNhsEHDuILpbg1Hy1mhcDgc1pkzZ5KOnzlzRr29vSN9OmTKBqslnMA1U2yjFOmPFOxrd5yhliHHFg/nWOJeZK7bgwwFZcRBzSc+8QmtWrVK999/v6677jpJ0osvvqgvf/nLqq/nL+GcscFqCafwFnlttWw7X/KyYSmyI18bv2YgsbbGUbU0QIIRTz/99a9/1Ze+9CX98Ic/1LvvvitJKi4u1p133qn77rtP48ePz8lAs8Hx0080mMo7p2Q+8rZhKbLDZplXs7bG7G5NLQ0ykc9eRzlvvnf27FkdOXJEkjRjxgxbBzMmxwc1ki3m4AuFUzIfed+wFNlhsxo5ultjpNrapNrhm9VnpddRzje0HD9+vK6++mpdffXVeQ1ovv/976uiokIXXHCB5s+fr/379+fte9sCm7blhZn5SAwUzH2k7LRBZt43LEV25Hrj1xFavlzav19atiyv3xYOZvY6StcNvajI+Js7n72OHLVL91NPPaW7775bGzZs0CuvvKIPfvCDuummm3T69Gmrh5Y/6TZtCwatGY8LRfojamptStnvxjy2rnWdIv2RpPNWcOWGpcg7s7s123UgU2Y9Vrr5HivqsxwV1DzwwANavXq1Vq1apQ984AN6+OGHddFFF+mHP/xhyuv7+voUDofjPhwtsaZm717js1lUSGCTFU7LfGTaJTmT6yL9EbUdb9P2V7er7XibbQI3APa0dGnqbI2Zpcn3KjrHBDXvvPOOXn75Zd1www0Dx4qKinTDDTeos7Mz5dds2rRJPp9v4CPg5CmaVKslFiwwPscGNl3pb8bIjNMyH9XTquUv9Q8UBSfyyKNAaWDYbsotB1tU0Vyh2q21ur3ldtVurVVFc4WtptoA2Eu6bI1Vq+gcE9T88Y9/VCQS0eTJk+OOT548WadOnUr5NevXr1coFBr4CDo5k2FuDZBYFGwuA62qYtO2LMlm5iMfzA1LJSUFNpluWOqkGiIA9pKYrbEqSyM5KKgZjXHjxqm0tDTuw7HMTdva25OLgs1N2wq88V62ZCvzkU/mhqVTS6fGHfeX+oddzu20GiIA9pKYrbGy15FjOhFccskl8nq9evPNN+OOv/nmm7rsssssGlWesWlbXpiZj4YdDfLIk3IfqeEyH1YYbTflkdQQFWJTQwDDMztTm72OrOpI7Zig5vzzz9e1116r5557Trfccoskqb+/X88995zWrl1r7eDgOmbmI1WfmlzuIzXWZlaj6abstBoiAPYT25nayo7UjglqJOnuu+/Wpz71Kc2dO1fXXXedtmzZorNnz2rVqlVWDw0ulMt9pNJ1Ku7slBobh//6bDSzMjmthgiAPS1fLs2cKc2da90YHBXUfPKTn9SZM2f0ta99TadOndKcOXPU2tqaVDwMZEsu9pEaqlPxkkX1qqwc3FwwkbnZYDabWZk1RN3h7pR1NWZHYjvVEAGwH7PXkaVjGO02CU7kim0S4GiZ7NF09kD9wOaCqeSijb05Lkkpa4jYOwqAlXK+95MTEdTASpnu0fSHNcc0a6Y3KVtjZmlytdlgqgxSoDSQ0xqiXMrnZnsAcivT+7ejpp8AJ8t0lVHnyQ5t3FiTlK3J9TLJXNYQWcGK+iQA1iKoAfJkJKuMzOWRZrbGzNLkeplkLmqIrGJutpfP+iQA1nJ18z3ATkayyshOzaycyo6b7QHILWpqxijd0lwgkVlTM9wqo2NNx+Qt8urcOen97x9sZpWrWho3M9/DfNcnAciuTO/fZGrGgA0AMRIj3aPJzDRIZBRGy26b7QHILTI1o5TJ0lwnrhhB7o1klVE0Kh04YDSz8qTeigrDSMzWkKUBnIcl3SlkK6jJdGmuOY0AJGLaMr+2bVPcarJc9PoBkDsENSlkK6hpO96m2q21w16351N7XLOSBHAy6pMAZ6OmJofYABBwFuqTgMLAP+1RYANAuFmkP6KO3z+rnj8dV/n02clTY11dUkmJ5PNZN8hRsMNmewByi6BmFNgAEG7VcrBFTT/7vLrePjlwzNxss35WvRQMGu13y8qk1lZHBTZ22GwPQG4x/TQKI12aCziBuaIvNqCRpO5wtxp2NKil41EjoDl6VDp9WurttWagAJAGhcJj4LYNAJE7fX3SrifPqi/UJ02cmHzBn/+scb5xWnLbeEs2Vxx+RZ/kP+vVsc0ReSurpLY2KRDI6xgBFC42tMwDt20AiNzp3P22Gu+4WNL4NFcYgc6Gg/+jy2dfmPZ5crWr9PCbbUrB8RF1fLhcNU+1pQ5oQiEje+P3J59zaB0OAGchqBkjN20AiNxZNPsvqiz+s46fm6qokoPeIkU0ueiP2vjtycM+Vy52lc54Rd8XP5M+oKmrM6alErM4Dq7DQTJ6LMHOqKkB8qC4wq+N941PGdBIUr+82nRfsSor03cOLioyeqzkYlfpjFf03f+IEaQk6u01ApqjR40AxrzGDGiow3EFtoaB3RHUAHmydO0kVQbOyaNI3PEiRVQ17ZyW3TXJsl2lzRV9iYXvJo+kwFmvql/oiQ9aTH6/kaGpqhoMbPbtGwxoqt6rw0k1NQVHGCgkT5imHCgkJ7CBDRDUAHlSXCxt/JfipGxNv7za+C/FKi6Wli5VymyNmaW57bbcjG34FX0ebfn4/zWKhM2gpSuhBicQiA9sFi6MD2goLHasSH9ETa1NKVtYmMfWta5TpD+SdB7IJ4IaII+WLgqqsvjEQLamSBFVFZ/QbQuNzIeVu0rXz6rXzsadmnpx/FSUv9RvbNBa/enBoKWszCj8TRQIGBsrxdq2jYDG4YYvJI8qGA6q40RHHkcFJKNQGMiXYFDFN9Ro47kFWinjxt8vrzae+6qKb+gcyGYsXSpt2JC8q3SusjSxBlb0pesoHAhI7e3pVzIFg9KKFfHHVqwgU+NwbA0DpyBTA+RDV9dAfcnSyhdVGTgnSaqadk63Ve6Pm9JJzNbkI0sTy1vkVc3sv9PSxWtVU1GTvLLF708OaEIhaf/++BqavXsHp6I+8pHUBcZwBLaGgVMQ1AD5UFJiTNlUVam4/Tlt/BcjQtn4L8Uqbn8uaUrHrK2RcltLkxWhkPTRjybX0CxYID3xhBGNHT9uBDaJdThwhOELyT0KlAbYGgaWI6gB8sHnM3q0tLdLgYCWLzcSG8uWaXBKJ6aHi6N2le7tlf78Z+ncOWOgTzxhvKZgULr99sHjEyakrsOB7bE1DJyCbRIAm4pGpQMHjF2l0/WusY1g0MjEHD9uZGq2bTNqaczMzfbt0pVX0njP4dgaBlbJ9P5NUAMgO2Ib7ZlYzu06dBSGFdj7CUB+mcu5Fy4cPMZybtdhaxjYGTU1ThcKpS++7OoyzgP5kG45N6ueAOQJQY2TmZsILl6cfOMIBo3jdXUENsi92KmnxOXcqbZVAIAcIKhxMjYRhB3E9OCJW86duBcUy7kB5BhBjZOxiaC7OHUqMaYHT1xRcOxeUOm2VQCALGL1kxuw6sT5zKnE06eT/7+Z/3/LyuJ62dhKKGRkBFMF0F1d6bdVAIAMsPqpkLDqxPkSpxLNwCYxYO3ttWdw4POlH1ceMoV9fdKuXcbndMaNk5YsMT4DcCeCGjdgE0HnM6cSzQCmpia5gR1TiWl1dkqNjcNft2eP8dYCcCdqapyOVSfuEVuDcvRo8l5KBKhpLVpk7JWVrvNyUZHxNi5alN9xAcgvMjVOlmrViXljjP2Lv72dv/CdgqnEUTH3ylq5MvX5fO90PhpMoQFjR6Gwkzm9uBTJKPoetXPnpPe/39h+Kva3WlGRVFEhHTpk76CmrU2qrR3+OqbQUIjY+ykF1wU1EqtO3CRxKjFVTQ2BTZzEfYj+u/0juuOO5Fn1bduk5cstGOAIpAvKTE4JzoBcYPVTobB41YkjOCHwYypxxFLtGD11/HSV+X+nM93jFY0OBgK33WbdODPlhik0wGoUCsPdnLCVRCgkhcOpG9h5PEahBQ3s4rQcbFHDjoa4gEaSTp49odPzPjeQ6XBaILB0aeqCZ7PQ2QnBGWAlh/xTB0bJ7v1fYuuidu0yxmBmYmLrov7zP6WpU63PKNlApD+iptYmRZU8RxNVVJq9Xd72f1bkz9McFwiky9Y4LTgDrEKmBu5m960kYoOuJUsGiykS9+8qLSWgeU/HiY6kDM2Ac+dLr9+iSOX/J0m68UbpySelxx8f/Pjxj4deYWS1xGwNWRogcxQKozDYeVURBcIjsv3V7bq95fbUJ48tlra2Dfscdl9BtG1bfLbGCYXOQC5lev8mU4PCYPZ/iWWX/i803RuR8pLy9Cen/Up631FJkZSnndKEz8zWSGRpgJEgqEFhSLeVhF06Lts56LKZ6mnV8pf65VGK9sHeiFT7dUnelF/rlNoUs7ZGcsZ4Abtg+gnu54TpnRxOj7mxU625+klSXMGwRx5FI16VPfaXgWXdJqf1eYlGpQMHpLlz02//ABQKmu+lQFBTgLq6jGXbiQFMYqBjZf+XHAddbu1Um6pPTaA0oC11W3T2QH3Kfi/UpgDORFCTAkFNAbL7VhJ5CLrc3Kk2saNw9bRqeYu8Sa/Zya8RAB2FAYPPZwQsqToKBwJGsGBlR+GSEiOokuKDrthuwmNsuufmTrXeIq9qKmqSjie+Zie/RgCZI1MDWC0P2zg4fbPH0TBf87FjRrLLja8RKBQs6QacIraLcCK/PytZJDNzkfgnjJszGKwgAgoPmRqgQGRaZ+Km1VKsIALcgZoaAHEyrTPp7JQaG4d/PieslvJ4pHnzrB4FgHxh+gkoIJl0ql20KPVO0SandOUFUHgIaoACkkmdSbr6G5Ob63AAOBs1NUCByaTOpBBXSwGwL1etfjp+/LjuvPNOVVZW6sILL9SMGTO0YcMGvfPOO1YPDci9UMhY2p1KV5dxfgTMOpOhCmcLcbUUAOdzRFDz+uuvq7+/X4888oh+97vf6Tvf+Y4efvhhffWrX7V6aEBumR2RFy9O3nwzGDSO19WNOLDJhFl/YwY/Zi0NO0a7RJaDZcAOHPH3Vl1dnerq6gYeV1VV6dChQ3rooYe0efNmC0cG5Fhvr7HFw9GjxlKjVNsomNdluSvycKul3LT0e8Ty0DAxp+y+fQgwSo4IalIJhUKaOHHikNf09fWpL+Y3bjgczvWwMALp9u1BDL9/cLsEM7BJteFljjbjXLpU2rBhsCtvbJbGTUu/R8QNAYGFwTKQU1EH+sMf/hAtLS2NPvroo0Net2HDhqikpI9QKJSnkSKdn/z+J1H/A/6ovq6BD/8D/uhPfv8Tq4dmTydORKNVVdGoUeZifFRVGcdz7P/9P+PbbdsWf/zdd6PRyspo1OOJH5b5UVRkDPHdd3M+xPwKBgf/X8T+P4j9f1RVZVxnZ4nj3bs39esCbCAUCmV0/7Z09dO9996rb3/720Nec/DgQc2cOXPgcXd3txYvXqyamhr927/925BfmypTEwgEWP1ksZaDLWrY0aCo4n/0PDKKN3Y27lT9rHorhmZv+/ZJCxcOPt67V1qwIOffdqjVUtu2pd8o0zy/fHl2xmGrzF7iLuqpsmexGRy7SszMSM4aPwpGpqufLA1qzpw5oz/96U9DXlNVVaXzzz9fknTy5EnV1NTowx/+sP7jP/5DRUUjq3NmSbf1Iv0RVTRXqCucukDRI4/8pX4dazrGVFQsm9588rX0u+Vgi5pam+J+bvylfjXXNVsXANv0/8mIWRQsAyPhiKBmJLq7u1VbW6trr71Wjz/+uLzekd/wCGqs13a8TbVba4e9bs+n9qimoib3A3ICm2cF0mVrErM0o8202Dqz5/SAwC2BGVzPVX1quru7VVNTo2nTpmnz5s06c+aMTp06pVOnTlk9NIxQT29PVq9zva6u+ICmrc24aba1GY/NQs90S3PzIJOl3y0HW1TRXKHarbW6veV21W6tVUVzhVoOtgz53JH+iJpam5ICGkkDx9a1rlOkP5K115OxYNAILmOtWJG89N6uEoPlvXvjf6ac8jqAGI4Ianbv3q3Dhw/rueeek9/vV3l5+cAHnKW8JLP/Z5le53olJcZKmsS/ngOBwcCmrMy4ziKJjfoSl36bmZbEKcfucLcadjQMGdh0nOhIO1UpGYFNMBxUx4mOMb+OEXF6QOCAYBkYDUcENXfccYei0WjKDzhL9bRq+Uv9A1MHiTzyKFAaUPW06jyPzKZ8PmNpcHt78nRAIGAct8HS4XQbZY4102LLzJ4bAgIHBMvAaDgiqIF7eIu8aq5rlqSkwMZ8vKVuC0XCsXy+9H1o/H7LAxop/UaZY8202DKz54aAwCHBMjBSjm2+B+eqn1WvnY07U65m2VK3heXcI2SXpc7Ll0szZxpLv01jzbSYmb3ucHfKbI+5Wi6vmT0zIEjVUdgMCOzeUVgyxpdujDlq5gjkGkENLFE/q143X3mzLW7GTmanpc7mRpmxxpppMTN7DTsa5JEnLrCxNLNHQADYkmOWdGcDS7rhJrZe6vwesy/RcJmW4foSpQreAqUBMntAgXBdn5psIKiBWzipiaEZfElKmWnJNPiyyzQbgPxzVZ8aAPFsu9Q5BbOGamrp1Ljj/lL/iLJJ3iKvaipqtPSqpaqpqCGgAZCEmhrYWl+ftGuX8TmdceOkJUuMz4XClkudh0ANFYB8IKiBrXV2So2Nw1+3Z4/RGqRQ2HKp8zDMTAsA5ArTT7C1RYviW/AnMlvyL1qU33FZjSaGAJCMoAa2ltiCP1FiS/5CQRNDAEhGUIOcivRH1Ha8Tdtf3a62422j2ngwccNEU6qNEwtJtgpwgXzKxu8EIB2WdCNnstkYbts2aeXK1MeXLx/rSJ2Npc5wCjs1i4Sz0KcmBYKa/Ml2Y7hz56T3v186ftyYiioqkioqpEOHCm/qCXAiJzSLhH3RpwaWGevOzKkk1tYUai0N4ES5+J0ApEJQg6zLVWM4s7ZGKuxaGjej3sKdnNQsEs7G37nIulw1hjOzNStXkqVxI+ot3MtpzSLhXGRqkHW5bAy3fLm0f7+0bNmIvxQ2ZtZbJP413x3uVsOOBrUcbLFoZMgGJzaLhDNRKIysy9bOzCgMTtqcE6Njt98JbL/iPJnev0ngI+vMxnANOxrkkSflzsw0hoNpJPUWbLPgTHb7ncD2K+7F9BNygsZwyBT1FoXBTr8T2H7FvcjUIGfYmRmZyGq9RSgk9fZKfn/yua4uqaRE8vlGOEJki11+J8QuOkiFlhHORU0NClbBduK12Y0/a/UWoZBUVyedPi21tUmBwOC5YNCYRygrk1pbCWyQ1NDTRGNPe6L5HjCEloMtqmiuUO3WWt3ecrtqt9aqornC/atszBv/4sXGjT5WMGgcr6szrsuTrG3O2dtrBDRHjxoBjPn6zIDm6FHjfG9vll8BnCjdZrlkaZyNoAYFp6CXD9v0xp+Vegu/38jQVFUNvr59+wZfV1WVcT5VhgoFKXGz3ELfJNcNmH5CQWH5sOIDmKoqY1fQFSvib/yxUzd5lJUpwdjXZ7L4dcG+EjfLZZNce2JDyxQIatB2vE21W2uHvW7Pp/a4e/mw22/8+/ZJCxcOPt67V1qwwLrxwLbM2ppjx4x/AtTS2BM1NUAKLB9+TyBg/Ekaa9s2dwQ0waCReYq1YkVyDRGgwdoaiVoaNyCoQUGhXft73HrjT5xa27s3vsbG6a8POcH2K+5BUIOCUj2tWv5Sf9IqG5NHHgVKA6qeVp3nkeWRW2/8XV3JRcELFiQXD3el716MwuTxSPPmpW/GB+cgqEFBydryYady842/pMToQ5NYGxQIDL6+sjLjOgCuRFCDgmOndu155+Ybv89nNNZrb0+uDQoEjOM03gNcjdVPKFh0FLZHR2EAGA67dAPD8BZ53b1sOx2fL33QQmM6AA7G9BMAAHAFMjWwpb4+adcu43M648ZJS5YYnwEAIKiBLXV2So2Nw1+3Z4+xWAcAAKafYEuLFsVvNJfI3Hhu0aL8jgsAYF8ENbAls3V5urV5/f20NAcAxCOogW0tXZo6W2NmaW67zZpxAQDsiaAGtpUuW0OWBgCQCkENbC0xW0OWBgCQDkENbC0xW0OWBgCQDkENbM/M1khkaQAA6RHUwPbMbI1ElgYAkB63BzjC8uXSzJnS3LlWjwQAYFcENXAEj0eaN8/qUQAA7IzpJwAA4AoENQAAwBUIagAAgCsQ1AAAAFcgqAEAAK5AUAMAAFyBoAYAALgCQQ0AAHAFghoAAOAKBDUAAMAVCGoAAIArOC6o6evr05w5c+TxePSb3/zG6uEAAACbcFxQ85WvfEVTpkyxehgAAMBmHBXUPPvss/rFL36hzZs3Wz0UAABgM8VWDyBTb775plavXq2f/vSnuuiiizL6mr6+PvX19Q08DofDuRoeAACwmCMyNdFoVHfccYc++9nPau7cuRl/3aZNm+Tz+QY+AoFADkcJAACsZGlQc++998rj8Qz58frrr+vBBx9Ub2+v1q9fP6LnX79+vUKh0MBHMBjM0SsBAABW80Sj0ahV3/zMmTP605/+NOQ1VVVVamxs1H/+53/K4/EMHI9EIvJ6vVq2bJm2bt2a0fcLh8Py+XwKhUIqLS0d09gBAEB+ZHr/tjSoydSJEyfi6mFOnjypm266STt37tT8+fPl9/szeh6CmsIV6Y+o40SHenp7VF5Srupp1fIWea0eFgAgA5nevx1RKDxt2rS4xxdffLEkacaMGRkHNChcLQdb1NTapK5w18Axf6lfzXXNqp9Vb+HIAADZ5IhCYWC0Wg62qGFHQ1xAI0nd4W417GhQy8EWi0YGAMg2RwY1FRUVikajmjNnjtVDgY1F+iNqam1SVMkzrOaxda3rFOmP5HtoAIAccGRQA2Si40RHUoYmVlRRBcNBdZzoyOOoAAC5QlAD1+rp7cnqdQAAeyOogWuVl5Rn9ToAgL0R1MC1qqdVy1/ql0eelOc98ihQGlD1tOo8jwwAkAsENXAtb5FXzXXNkpQU2JiPt9RtoV8NALgEQQ1crX5WvXY27tTU0qlxx/2lfu1s3EmfGgBwEUd0FM4WOgoXLjoKA4BzuaqjMDBW3iKvaipqrB4GACCHmH4CAACuQFADAABcgaAGAAC4AkENAABwBYIaAADgCgQ1AADAFQhqAACAKxDUAAAAVyCoAQAArlBQHYXNHSHC4bDFIwEAAJky79vD7exUUEFNb2+vJCkQCFg8EgAAMFK9vb3y+XxpzxfUhpb9/f06efKkSkpK5PF4rB6OwuGwAoGAgsEgG2zmEO9zfvA+5wfvc37wPudHpu9zNBpVb2+vpkyZoqKi9JUzBZWpKSoqkt/vt3oYSUpLS/lHkwe8z/nB+5wfvM/5wfucH5m8z0NlaEwUCgMAAFcgqAEAAK5AUGOhcePGacOGDRo3bpzVQ3E13uf84H3OD97n/OB9zo9sv88FVSgMAADci0wNAABwBYIaAADgCgQ1AADAFQhqAACAKxDU2ExfX5/mzJkjj8ej3/zmN1YPx1WOHz+uO++8U5WVlbrwwgs1Y8YMbdiwQe+8847VQ3O873//+6qoqNAFF1yg+fPna//+/VYPyXU2bdqkefPmqaSkRGVlZbrlllt06NAhq4flet/61rfk8Xi0bt06q4fiOt3d3Vq+fLkmTZqkCy+8UFdddZUOHDgwpuckqLGZr3zlK5oyZYrVw3Cl119/Xf39/XrkkUf0u9/9Tt/5znf08MMP66tf/arVQ3O0p556Snfffbc2bNigV155RR/84Ad100036fTp01YPzVXa29u1Zs0avfDCC9q9e7feffdd3XjjjTp79qzVQ3Otl156SY888oiuvvpqq4fiOm+99ZYWLlyo8847T88++6x+//vf6/7779eECRPG9sRR2MbPfvaz6MyZM6O/+93vopKiv/71r60ekuv967/+a7SystLqYTjaddddF12zZs3A40gkEp0yZUp006ZNFo7K/U6fPh2VFG1vb7d6KK7U29sbveKKK6K7d++OLl68ONrU1GT1kFzlnnvuiS5atCjrz0umxibefPNNrV69Wtu2bdNFF11k9XAKRigU0sSJE60ehmO98847evnll3XDDTcMHCsqKtINN9ygzs5OC0fmfqFQSJL4+c2RNWvW6GMf+1jczzayZ9euXZo7d65uvfVWlZWV6ZprrtEPfvCDMT8vQY0NRKNR3XHHHfrsZz+ruXPnWj2cgnH48GE9+OCD+sxnPmP1UBzrj3/8oyKRiCZPnhx3fPLkyTp16pRFo3K//v5+rVu3TgsXLtTs2bOtHo7rPPnkk3rllVe0adMmq4fiWkePHtVDDz2kK664Qj//+c/1uc99TnfddZe2bt06puclqMmhe++9Vx6PZ8iP119/XQ8++KB6e3u1fv16q4fsSJm+z7G6u7tVV1enW2+9VatXr7Zo5MDorFmzRq+99pqefPJJq4fiOsFgUE1NTfrRj36kCy64wOrhuFZ/f78+9KEP6Zvf/KauueYaffrTn9bq1av18MMPj+l5i7M0PqTwxS9+UXfccceQ11RVVemXv/ylOjs7k/a+mDt3rpYtWzbmyNXtMn2fTSdPnlRtba0WLFigRx99NMejc7dLLrlEXq9Xb775ZtzxN998U5dddplFo3K3tWvX6r/+67/0/PPPy+/3Wz0c13n55Zd1+vRpfehDHxo4FolE9Pzzz+t73/ue+vr65PV6LRyhO5SXl+sDH/hA3LFZs2bpJz/5yZiel6Amhy699FJdeumlw1733e9+V//8z/888PjkyZO66aab9NRTT2n+/Pm5HKIrZPo+S0aGpra2Vtdee60ee+wxFRWRrByL888/X9dee62ee+453XLLLZKMv8Cee+45rV271trBuUw0GtXnP/95Pf3002pra1NlZaXVQ3Kl66+/Xq+++mrcsVWrVmnmzJm65557CGiyZOHChUktCd544w1Nnz59TM9LUGMD06ZNi3t88cUXS5JmzJjBX2JZ1N3drZqaGk2fPl2bN2/WmTNnBs6RVRi9u+++W5/61Kc0d+5cXXfdddqyZYvOnj2rVatWWT00V1mzZo2eeOIJPfPMMyopKRmoWfL5fLrwwgstHp17lJSUJNUpjR8/XpMmTaJ+KYu+8IUvaMGCBfrmN7+pxsZG7d+/X48++uiYs+cENSgYu3fv1uHDh3X48OGkYDHKZvWj9slPflJnzpzR1772NZ06dUpz5sxRa2trUvEwxuahhx6SJNXU1MQdf+yxx4adfgXsZt68eXr66ae1fv16/dM//ZMqKyu1ZcsWLVu2bEzP64ny2xwAALgABQUAAMAVCGoAAIArENQAAABXIKgBAACuQFADAABcgaAGAAC4AkENAABwBYIaAADgCgQ1AGynpqZG69atG3hcUVGhLVu2WDYeAM5AUAPA9l566SV9+tOfzupzHj9+XHfeeacqKyt14YUXasaMGdqwYYPeeeedrH4fAPnD3k8AbC/TXdhH4vXXX1d/f78eeeQRXX755Xrttde0evVqnT17Vps3b8769wOQe2RqAFjq7NmzWrlypS6++GKVl5fr/vvvT7omcfrJ4/HokUce0d/93d/poosu0qxZs9TZ2anDhw+rpqZG48eP14IFC3TkyJG037eurk6PPfaYbrzxRlVVVWnJkiX60pe+pJaWlly8TAB5QFADwFJf/vKX1d7ermeeeUa/+MUv1NbWpldeeWXYr/vGN76hlStX6je/+Y1mzpyp22+/XZ/5zGe0fv16HThwQNFoVGvXrh3RWEKhkCZOnDjalwLAYkw/AbDM22+/rX//93/X448/ruuvv16StHXrVvn9/mG/dtWqVWpsbJQk3XPPPfrbv/1b/eM//qNuuukmSVJTU5NWrVqV8VgOHz6sBx98kKknwMHI1ACwzJEjR/TOO+9o/vz5A8cmTpyoK6+8ctivvfrqqwf+e/LkyZKkq666Ku7Y//7v/yocDg/7XN3d3aqrq9Ott96q1atXj+QlALARghoAjnTeeecN/LfH40l7rL+/f8jnOXnypGpra7VgwQI9+uijORgpgHwhqAFgmRkzZui8887Tiy++OHDsrbfe0htvvJGX79/d3a2amhpde+21euyxx1RUxK9EwMmoqQFgmYsvvlh33nmnvvzlL2vSpEkqKyvTP/zDP+QluDADmunTp2vz5s06c+bMwLnLLrss598fQPYR1ACw1H333ae3335bH//4x1VSUqIvfvGLCoVCOf++u3fv1uHDh3X48OGkwuRoNJrz7w8g+zxR/vUCAAAXYAIZAAC4AkENAABwBYIaAADgCgQ1AADAFQhqAACAKxDUAAAAVyCoAQAArkBQAwAAXIGgBgAAuAJBDQAAcAWCGgAA4Ar/P8ZlxDPn2IHxAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# dimensions to plot\n",
+    "d0 = 2\n",
+    "d1 = 3\n",
+    "\n",
+    "plt.figure()\n",
+    "for i_c in range(c):\n",
+    "    plt.scatter(x[i_c*n:(i_c+1)*n,d0], x[i_c*n:(i_c+1)*n,d1], marker=mks[i_c], color=cols[i_c])\n",
+    "plt.xlabel('dim {}'.format(d0))\n",
+    "plt.ylabel('dim {}'.format(d1)) \n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f93e41a9",
+   "metadata": {},
+   "source": [
+    "Depending on the chosen dimensions for the plot, the sample clouds appear separated or overlapping... \n",
+    "\n",
+    "Only the first dimension is informative to discriminate the classes; the other dimensions are not.\n",
+    "The variance is thus larger for the non-informative dimenions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "d888443d",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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3gtWBAaMOi9+ffC4UMgIWny//47KQWRcosSO3mdlzZKCMopbp85ugBcCoUMioCvvR9MnJrT2aviSgw4el2rIjeuNkrcpqp0nbt6d+6MN2bqsLBEiZP7+ZHgIwKmH6pKwmoPXrjVPr7zndCFhSTZ/Qz8cxsqkLBLiN45bTffjhh1qxYoVef/11TZo0SVOmTNEPf/hDnX/++XYPDSh8Pp/U3R03fdLaKl10kTR37pnSl7YnT5+Y/Xz6+5OLs5lTTVOmGJ/X5dMubuCqukBAlhyZaVmzZo3eeOMN/f73v9fSpUt188032z0koHj4fHFTPx6PNG+e8VZ+f3LgQT8fR3FVXSAgS44LWk477TR94QtfkMdjLBi76qqr1NfXZ++gAKTn9ydvGX7xxeStxayBGZdsty27ri4QkAXHTQ8lam9v19KlS1OeGx4e1vDw8Mj7g4OD+RoWnKoIdoY4Ev18cqJrf5fautvi1qj4vX61N7an3f1j1gVqfqpZHnnidhA5tS4QkCnHZVpi3XnnnTp48KA2bNiQ8vyGDRvk8/lG/gT4xVjczLUVixcnVzUNBo3jjY0sCs0V+vlYyty2nLio9ujgUTU/1XzKeiuuqwsEZMixW57vuece/fSnP9XWrVv1iU98IuU1qTItgUCALc/FKmG77sgr/MSy7WzXzY3Y+2wi05KZhAyhVduWXVEXCJDLtzzfe++9euKJJ/T888+nDVgkqby8XF6vN+4PihhrK+xDP5/xS5EhtGrbcmlJqeqr69Uys0X11fUELHA9xwUtoVBIX//61/Xee++poaFBs2fP1pVXXmn3sOAWseXYzbUViZkXWKvI+vlYLsXuK7YtA6k5biGu3++XQ2es4Bbm2gpzMajE2opcMgvSSan7+Zh1Wgqgn09OmBlCM/Crr1dl+z9m9KFsW0axceyalvHIRRl/5oRdiLUV+ceurYmL+Xsb9kjVa6WjXimaYucypfhRaFy9psUp6JLqQqytsEdCQbo4qQrSIVnM7qvSqNTeLckzuk3ZxLZlFDOCljQmst0QNhljbUX48CH1XHulnti+KaMiXUBeBYPSqlUj7zbtlzp7ztbUyefEXca2ZRQzpodSoEuqS52iB05X70Nq+/n/q9Dpo4HKWEW6gLxJzBB2dBgBzKFDCp9Xo97H79KxSWGmqFGwMn1+E7Sk0NPXo4bHGsa8btsN21RfXT/ur4McSLG2wsyaxVYGlUbT7Lxqha2oLwSwpmUi2G7oYglrK8KRsNq625ICFkkjx9Z2r2WqCPYxd18lLhaP3b7P7itAkgO3PDsBXVILRzZFusiawRY+n9TdnXr3VSBgZFjYfQVIItOSEl1SCwdZswIzMJC+SF0o5N6+Uuy+AjJCpiUFuqQWDiuyZsPD0rPPGm/TKS+XrrnGeJtXxVQf5RQLrUfWf0yZYmQtCuV7BhCHoCUNs0tqqrbwGxs3snDTJcys2dHBoynXtZg7wU6VNdu1S1q+fOyvtW2b8dzMm2J7iCeWu0+1YNW8rhC+XwBJ2D00Biriup+5e0hSyqzZWLuHTp6Upk+X+vqkVP9aSkqk6mrpjTeksny+DCjGXSen2BpM1WPAvdjyTMdnxOja35WUNQt4AxlnzTo6pOuvP/X51lYrRpqlYnyI06YBKDgELXkIWhy91gFJJpI1S5dtsS3LEqsYH+IvvhjfEHPnTqP6MQBXImjJQ9DS0yM1jF2DLv9rHT7C1Ja10mVbbMuyxCqmh3gxBmlAgSNoyUPQ4ti1Dko9HULZ+olJ/Hk7Issi2fYQtyXTWIzTYUARIGjJ05oWJ651oGx97iT+vG3Pstj4EM97prEYFx4DRYKgJU9Bi9PWOtDsMbfMn/fhw8bz0dYsi80P8bxnGottizdQROg9lCdlZdL69cm/tCMR43i+H2jZlK1H9syft2TPzzeOzT1r0v3dN1n6b8AsotfdbQRhsQFLKCR5vcZxAhagoJFpsYCT1jo8se8JXdd13ZjXPd70uFpmtuRhRIUnGpX27JHmzpU8qTs9jFvW60Rsroibl0wjGRag4GX6/KYirgXMV5zmWge7siwSzR7zweOR5s3LzefOuvquz5f+QZ2HdR2Jf/dNlv4boBIugI+QabGIU9Y6mGtaxipbb+WaFrZWW8fJO9LSyUumkV1DQEFjTUueOWWtg9nsURrdLWTKRbPHrv1dqm6vVsNjDbqu6zo1PNag6vZqde3vsuTzF5u8rhOxSOKYczLG2HU6hw4ZNWkIWICiQ6bFQrlc65CtiZatz/RrsLXaek7bkZaJ8WYas87SFVMRPaCIsOWZ3kM5nbZha3VuObr6bhrmmDMdY9YFEKmECxQsghaClpzq6etRw2NjVxbbdsM21VfX535AmbB5p002nLQjLVPZZBqzztKxpgUoaKxpQU4dGzpm6XU5Z26bXbzYeADGCgaN442NxnUOkJd1IhYzd1WNFbCEI2G1dbelXCge/ei/NT9foxcOvaBwJGwElLEBS0+PMSUUu8alvt64DkBBc/CvQDiZ67ZWu3DbbEuLtG7d6DqRFSsm/jmd0Jl8rAKIknT8g+P6bMdnjemiT9+ppilTjBOpiuiZdVpyVEQPgHMQtGBc6qrq5Pf6x9xaXVdVZ8PoUvD7Rx9wZuCSaorBQT1rYmugWJVlyboOTA5kk307OnhUzf/fDerc9Jiazm5I/vkEAkYlXAdN7QHIHaaHMC753lptCRdum21tlXbvllautObzLVok1dSkn8IpKTFux6JF1ny9VLLJvpkB8dpf/7PC56b5OL+fgAUoEgQtGLemGU3qXN6pqd6pccf9Xr9ztzsHAkaGJVZHhyMDFinzdSKZckIdGDNLlxjspkO/LAAmdg9hwlxVEZdts46oA2PuHpKUcnoxFfplAYWL3UPIm9KSUtVX16tlZovqq+vdEbDU1hqFyWJ3nyTuKipQTuhMni5LdyqOWdQNwDYELSgObJuN09ISv7bFXMtixQ6lTDXNaFJfW5+2rtqqMyadkfY6jzwKeAPOWdQNwDYELSgOFRXGttjEqaDYxblFtG3WKXVgSktKtaR2iR7++4fl+ei/WI5d1A3AFqxpKXKuWo8yUS6qiJsPTulMbspHvywAzkQZf4KWMWXd+wUFJ9t+QblWVEE0gBEELQQtp0SHZkjO6kwOoHixewhpjdX7RZLWdq81+r6goFldBwYAcoky/kVorN4vscW8HNOhOU+c0JsHAJAaQUsRcl2H5jxyQm8eAEBqTA8VIdd1aM4jJ/TmQRYGBtLX1gmFjPMACgZBSxEaq/dLMRfzckJvHmRoYEBqbJQWL06uZhwMGscbGwlcgAJC0FKEXNmhOY8Sq8Wa7Kgai1MYGpL6+5PbMMS2a+jvN64DUBAIWoqUKzs054kTevMgA35/chuGF19MbteQqpggAFeiTkuRo5hXaomdkPPZARlZonM34HqZPr/59VvkzA7NiGdmW66/3nifLIuDBQJGSd+FC0ePdXQQsAAFiOkhIA1zbYvEWhZHCwalVavij61albw4F4DrEbQAaZjZFoksi2PFTg3V1ko7d8avcSFwAQoKQQuKS5Z1PVpbpd27pZUr8zA2ZCcUSl50u2BB8uLcdD9vAK5D0ILiMY66HvTmcbCKCmnKlORFt4HAaOAyZYpxHYCCQMIbxSOxrof5oEvcfTI0JPl8Ng4UGfH5pO5u4+eVuK05EJC2bzcCFn6WQMEg0wLrObW0OnU9Co/Pl/7n5fcTsAAFhqAF1nJ6afXYqYNDh4xtsrEBC9tkAcCxCFpgLTeUVjfresSirkfBCUfC6unr0RP7nlBPX4/CkbDdQwIwQaxpgbXMKRgzQKmvNwKCVaucMwWTrq4HmZaC0bW/S23dbQoNjk5T+r1+tTe2F3WLCsDtyLTAek6egqGuR8Hr2t+l5qea4wIWSTo6eFTNTzWra3+XTSMDMFEELcgNJ07BUNfDVcYzvROOhNXW3aaokluqmcfWdq/N61QR01SAdZgeQm44cQrGrOshpa7rUV9PXY8cGx6Wnn3WeJtOebkUmf6MvvGr/5319E7vkd6kDEusqKIKDgbVe6Q3Lz23mKYCrEXQAuslTsHErmmJrY+Sb9T1sN2uXdLy5RlceEO7VJN6eqdzeWfaB/6xoWMZjSPT6ybCnKZKzPpk8n0ASI3pIVjL6VMw1PWw1aJFRhPKdBWGS0qiKj3zbamqN+lcJtM7lRWVGY0j0+tGZFl7yInTVEAhIGiBtSitjlMwm1BGk5/lkqRIxKPwp/9ZKk39MI+d3kmlrqpOfq9fHqWOijzyKOANqK6qLvNBj6P2UDbTVAAyR9ACa5lTMNu3J08BmVMw3d1kNIpYS0vqbEtJiTTFPyRd+tMxP0e66Z3SklK1N7ZLUlLgYr6/sXGjSktKMx/wOGoPOWmaCigkBC2wHlMwOIV02ZZIRLr5a6G0WZZYp5reaZrRpM7lnZrqnRp33O/1j28dyTjaP+Rsmgoocp5oNF2i1n0GBwfl8/k0MDAgr9dr93AApHHypDR9utTXZwQvJSVSdbX0+v6wzv9BtY4OHk25HsQjj/xevw63HR4zWxKOhNV7pFfHho6psqJSdVV12WVYEiU21pTS1h4KR8Kqbrfm+wCKQabPb3YPoaCk21L7f/+v9NvfGg/LsjLp8sulj30s/prycumaa4y3yC0z23L99cb7kYjxfvnfGNM7zU81yyNP3AM/2+md0pJSa7c1m7WHFi4cPZam9pA5TWXF9wFgFJkWFJSeHqmhYfwfv22b8WIauWdmWw4fNhIWb7xhBDNS6vomAW9AGxs32rdNOItMi8mR3wfgQJk+vwlaUFASpx0yZU5PxD447ZJpAbZCyAp1dBjZlo4OqbU1/pzl0zsTcaraQ2MELo76PgCHImghaCla5oNwPB+X+ODMi4GBuIJ3mWaLCiErFI1Ke/ZIc+emr91iu1DI2NacGKAkBjLbt9vbCBRwMYIWgpailS7bUlJi/Dl5Mv76XGRZMn51bdYA6e8feRiOjj+qaDT5Se6krJBT5DSbkeJnNMIMXKZMYSs/MAGZPr8dueX5wIEDWrBggaZPn6558+bptddes3tIcJFTban98peTrzcXgVoVAHTt71J1e7UaHmvQdV3XqeGxBlW3V6fuLpyiBkhZmbT+q8dTBiy5GK/bZXW/x4PaQ4BjODLT8pnPfEbXX3+9Vq9erc7OTt1999165ZVXxvw4Mi0wpdtS+9pr0sUXJx+3KmuRrt+MuWMkZZ2QFOslTrau1vTD3erTNEU1mjFwTZYlYcorTihkWY+ncd1vAI7j2kxLf3+/9uzZo9aPFhd86UtfUjAY1MGDB20eGdwkMdtiZidOOy31cSsCgHH3m4ltcXDokLRwocoOH9D6s34QF7BYPd6cGUfZ+/Ggvw9QfBz3qy8YDKqyslJlH/1W9ng8qqqq0pEjR3T++efHXTs8PKzhmC0Wg4ODeR0rnK2lRVq3bnRL7YoVpz4+Udn0m0mqH5KiBkhL55e0bnVyVsiq8eZM4pRXqoWr5nUJ2ZZUO6dia+xIo3V2Dr73pkK9iz86OCxd+KxU9teRjzvl/QbgSo4LWrKxYcMGrV+/3u5hwKFiC5jFZifSHZ+oCfWbCQaNLbQxym5cpfVf3a3r//FMSS7JskijZe/NAKW+PvUW4RRTR7t2ScuXZ/qFZkjaMvruDfVSzfakq+jvAxQOx61p6e/v1/nnn693331XZWVlikajqqys1I4dOzLKtAQCAda0YES6LbW52Grb09ejhsfG3qu87YZt8a/8T1ED5GTNBZp+8nUdDpYlFWBzvHEUYxtfnZ2w9Mk+6SsXpuxblHS/C1Qx1fdB4XFtGf8pU6bo8ssv15YtW7R69Wo9/fTT8vv9SQGLJJWXl6ucf32O4cQiWh6PNG9e5scnoq6qTn6vf8x+M3VVdaMHQ6HkxnvmGpf6epUdOqD1Z31T1+t7SVkWJ97vOFmUvTcllvfPTKlUvy4pYEl5vwtYplmqQqjvg+LluEyLJL3xxhtavXq1jh8/Lq/Xq82bN2vmzJljfhy7h+yTqly53+tXe2N7Ue3eMHezSErZbyZpN0sGNUCiZ03Rng3Pa279x0eyQq643+PItEjZZVs8nqiinzgkfeUiqXS0AE8x7h4a6765ZucZihLF5Qha8oZtp/Gy7jeT5fZgV9zvCZS9l7KravzVu15R19800d9HY98326o+A2MgaCFoyYtwJKzq9uq0u2bMFP3htsPOmrrIsVxN3bjifltQ9j5VnZ1p04z/f/vt5Bo7nhKHT5XlyamqQZNlgZO5dk0L3GVC23wLWGlJaU6+X1fc74oKo6y9FJ9RiVmroylTjOvSSFzbEolI/+f/GA/i2GOj63xyc7/dJt2aINfsPAPG4LjicnCXCW3zRdZccb8tKnvf0iLV1Bj/b9bTSXUM8cx7ZK5/KinhXqFwZBW0/PrXv9ZPfvITvfPOO3HHH3vsMUsHBfeorKi09DqcWs7u98CAMa2TSiiUffVany99x2O/P6MS/mbWQBrNEqQ6hnjpqkFzr1AIMg5a7r33Xn35y1/Wz372M1122WXq6hptRtbe3p6TwcH5zG2+5iLQRB55FPAGimbbaa7l5H7nqez+eLS2Srt3SytXnvoY4pGRQqHKOGj58Y9/rN/85jf6+c9/ru3bt+tb3/qWtmwxqlEW0FpeZKm0pFTtjUbQmvggNd/f2LixKBdF5kJO7neKTtOS4hfO9vcb1+WZWU8ntgBgqmOIR0YKhSqrv8rmit6LL75Yv/rVr3T11VcrHA7Lw2+PotY0o0mdyztT1g2Z0LbTPHUKdhvL7/cEyu4jf7KteNvaKl10kVH1GSgUGW95njNnjp577jlNMXcFSHrnnXf02c9+VsFgUEM2vApLxJZne1m6zTeDomuaMiWjBZ2FyvJt1eMsBof86OmRGsbuEkHFW7iS5Vuev/Wtb+mtt96KC1rOPfdcvfDCC1q3bt3ERouCYOk23wl0Ci4Wlm+rHkfZfeTPokXGOpWxKt4uWpTvkQH5Q3E5ONcEq6oiS2RaHI+KtyhUmT6/M16Ie9ddd+n+++9POn7//ffr3/7t38Y3SuBUzGJktbXGg3ThQgKWXEkMEHfuHL3vsYtzYavEGiymidRiCUfC6unr0RP7nlBPX4/CkeRO2YBTZJxpmTt3rnbs2KHTTjst7vgHH3yg+fPn63e/+10uxpcVMi0F6sUX46csdu6UFiywbzyFxoKy+8ifdNmW8WRZXNF4E0XB8jUt0Wg0KWCRpEmTJrHlGZYb2SnxznHpjk5JMUU5lnVK/3yhys89c2SnBCbAgrL7yJ+WFmnduvi+TNXV2WdZ0jXePDp4VM1PNdvbeJOdg0gj40zLeeedp4MHDyZtb45EIjr//PN1KHYe3CZkWgoHOyXyjIeEqyRmW7LNsji68SY7B4uS5WtaFi9erH/9139NOr5hwwYtXrx4fKME0lhUHVJN2RF5lHp+vURh1ZYd0aLq9M0DC01O1x5YUHYf+TPRirfZNN7MiJVtIBxc7BD2y3h66O6779bixYv1i1/8QvPnz5ckvfTSS3rvvfe0ffv2nA0QxanskxVaP22jrn8r9Xb6iEq1ftqjKvvkP8afKNCsAGsPECu2m/N4Kt5a2njT6swIxQ5xChlnWs466yz99Kc/VVNTk95880399a9/1S233KLf/va3cbVbAEv4fGp5ea1qAieTd0oorNrSt7Xi6f8n/pegzX1ycsVce5D4ythce9C1vyvNR6KQTaQHk6WNN3ORGWHnINLIOGh54IEHtHjxYj399NPasWOHlixZoptuukmTJk3K5fhQxMrO9Gn9HWVJhbQiKtX68D+rrOmagk8dhyNhtXW3JS2WlDRybG33WrapFqGJ9GCytPGmmRmJ3SL/4ovxO8/Gkxkxix3Gothh0csqaPn973+vl19+WTt27NC9996by3EBkpLrUpSUSLVVJ7WiZre1vyAdyvK1B4By0HgzF5mRYNCYEoq1ahU1g4pcxkHLxz72MVVVVUmSZs6cqb/85S85GxRgMufuzWxLJCKtv6NMZdtfKIrUsaVrDwoYBdKyZzbenOqdGnfc7/WPb7uzlZkRih0ijYyXb3344Yfat2/fSE2WxPdnzZqVmxGi6Jl1KQ4fjtkpUVYcfXIsXXtQoFikPH5NM5q09MKl1jTeTJcZyfaFRCiUnDmNrRlkBi4UOyxKGddpqa6uTqrRMvJJPB7qtCCnzLoUI/UoiqRPjllP4+jg0ZTrWmytp5HGSGHA4fTXlJfLksKA6QqkmVMcthZIKyZW9gmjTktRyvT5TcNEuEI0Ku3ZI82dK3lCxdVI0XwwS4p7ODv1wZyvwoCOLpBWTHLRBoJih0WHoIWgxfHG9Yq8SPvkpJoCCXgD2ti40VEBiySdPClNnz5aZj6RWXb+jTeyry8Sq6evRw2PjR0dbbthm+qr68f/hXBqZEZgAct7DwFW27VLWr587OviXpEXaZ8cS9ce5Fhs4bNUIpHxFURLxCJlh/D5jIAkVWYkEDBeQJAZgUXItMA2435FTurY8dL9bK3KskhkWgoa/8aLjuW9hwCrJW5nTpT2FTl9chwv3c/WqiyLZHGBNDiHOd20eHHy1uYCrXqNzBG0wFaJxeNMJSXjawQH50hZGNDCn6nlBdLgDDRMxCkQtMBW+XhFDnukLAxoxc80pqOw5QXSYL9ctQVAQWBNC2yXuP7BynUPsJf5szULA074Z5pmp0o4Elbvnqd17Lb/rcrTzlTdlh0q/eQZlnwPsEmR1GKCgTUtcI2cvSKH7cyfrWTRzzTN1EHp0XdU33KbWn7Vr/o/Dqv0Lycm+IVgOxomIgUyLXAEy1+RwzHiCgOOoyNxEiurr8K5yLQUFTItcBXLX5HDMTwead48iwIWKTcdheEsNExEGgQtcIzWVmn3bmnlSrtHkgcxi0mThEJs5xwLUweFK1XDxAULkhfnpvv3g4JG0ALHsPwVuVNRh2Li0nUU5hW4+5lVrxMzZ7EZtgKseo3MkIQH8i1xMelHv5iHDwb17MK7Ndw/XxqaIj0WlhI2wFjVHdnVTrWmJeZ+wqVoC4BTYCEuYIcUD96e5k1qOPb4mB860e7IrlakDTOBQsdCXMDJUiwmXXTsKdWUHZHHk/p1hFlRdtGi/A7VUZg6AIoaQQtgl4TFpGUKa/1tw4pGUy/qoX6NRqcOtm9PngIypw66u5k6AAoU00OAXVLUoThZc4Gmn3xdfaGynHVHBgCnYXoIcLI0dSjKDh/Q+g+/SS8mAEiBTAuQb2MsJj156G1NLzukvnBA0ain6LMsw8PSs88ab9NhVxXgbpk+v4vwVyBgM3MxqZRyMWlZfb3Wezbr+rfWSSLLsmuXtHz52NcV9a4qoEiQaQHsMDCQug6FJIVCOjmpQtPn+ejFpOQu4ImKPRMFFALWtAA2C0fC6unr0RP7nlBPX4/CkfDoSZ8vfR0Rv19lZ/roxfSRxC7giYo9EwUUEzItQA507e9SW3ebQoOj/VH8Xr/aG9vVNKMpo89heXdkF0uXbSHLAhQGMi2ATbr2d6n5qea4gEWSjg4eVfNTzera35XR5ymaXkwZSJdtIcsCFBeCFsBC4UhYbd1tiio5gWkeW9u9Nn6qCBlpaZFqakaDOLNC8IoV9o4LQP4QtAAW6j3Sm5RhiRVVVMHBoHqP9OZxVIUhMdtClgUoPvxzByx0bOiYpdchXkuLtG6dRnZVFWqWhdo0QGoELYCFKisqLb0O8cxsy/XXF3aWhdo0QGpMDwEWqquqk9/rl0epV8965FHAG1BdVV2eR5aFgQGjam8qoZBx3katrdLu3dLKlbYOI6cWLYpfv5OIjt8oVgQtgIVKS0rV3tguSUmBi/n+xsaNKi0pzfvYMjIwIDU2Gm0GgsH4c8Ggcbyx0dbApRh2VVGbBkiNoAWwWNOMJnUu79RU79S4436vX53LOzOu02KLoSGpv9/oi1RfPxq4xDZ47O83rkNOJe6WMrFrCsWM4nJAjoQjYfUe6dWxoWOqrKhUXVWdczMssRI7UHd0SKtWJTd4RM51dBjrd1Idb23N/3hQvHL9+yzT5zdBC4BksYGLiYAl7xIrAVMBGHawosL3WKiIC2D8AgHj5Xysjg4CljyjNg3sZlWFb6uQaQGQzOWZFtdOzaVgZlvo+I18C0fCqm6vTlsw0yOP/F6/DrcdnvC/LzItAMYncU3Lzp3G28TFuQ7Vtb9L1e3VanisQdd1XaeGxxpU3V6d91eEVjGzLRJZFuSXEyt8E7QAGBUKxQcsPT3SggXG29jAJV0dF5s5LZVtlWKoTQPncWKFb2J2h6BsNxyhokKaMsX4/9ipoEDAeL++3jhfUWHTANMbq1mlRx6t7V6rpRcudd1UkVmbBsgnJ1b4JmhxCKeW7SaYKjI+n9TdbdRh8fvjzwUC0vbtRsDi89kzvhTM9SsvHHoh41R2fXV9/gYIuJRZ4fvo4NGULwbMNS35rPBN0OIQZtluc2tjInOrY77Ldjs1mEIO+Xzpg5LEQMZmqbZijoVmlUBmzArfzU81yyNPXOBiV4Vv1rQ4hFPLdtMDBU6Vbv3KWGhWCWTOaRW+2fLsIImFpEx2F5RKV5Uz9jzVOZFPY23FTMXK7ZlAsXFKRVwyLQ6SLttid0EpeqDAacbaipnIFc0qAQcrLSlVfXW9Wma2qL663rZ/RwQtDpMYIDghMHBqMAWLDAyk38IcCtna0TmdbNel2JXKDkfC6unr0RP7nlBPX4/CkXBevz5QaHjcOIwZIJjTMU4JDFpapHXrknugkGVxuYEBqbHR6NycWO3WLDI3ZYqxo8hBO4YqPZltuf72p76hJTP+ly0VcfPRrwUoNqxpcSCnlu1OXNvCWpYCEApJixcnd3BOrIq7fbuGz/I7Zvt7+Mjbqt50no5ODiuaYpG4Jyr5T5Tq8FfeUmnVtNwOJgVzkXDiNlFzmirbrA+lB1DoXNnl+b777tNDDz0kj8cjj8ejf/qnf1JrFk/FQglapNEAwUmBgVODKUxQYoDS0SGtWpUUyPT0SA0NY3+6fG1/7+p9SM0v3CpJcYGL56PfaJ1LHlRT3ZrcDyRBLvq1OO3eA1Zz5ULcSy65RDt37tS+ffv0i1/8QmvXrtVbb71l97Bs4cSy3fRAKVBmtVuzTP/ChcmZFzlv+3tT3Rp1LnlQU0/EP/j9J0ptC1ik3PRrcdq9B+ziqMfOkiVLRv4/EAjonHPOUTAY1HnnnWfjqOzh1LLdra3SRRdJc+faPZJTK6Quv3kRCBgZloULR491dMStcUlcb5XIjvVXTXVrtLRkhnpbP61jH5cq35fqtmxT6cL8VehMlIt+LU6894AdHDU9FGvr1q264YYb9Oabb+r0009Pec3w8LCGYyZ5BwcHFQgECmJ6COPHAshxiJ0iMiVkWiQH1hLKcNz51NPXo4bHxp7L2XbDtqzaCTju3gMWcuT00Pz58/W3f/u3Kf8EY9rd79u3TzfeeKOefPLJtAGLJG3YsEE+n2/kT8CmX1JwjkLt8ptTiWtadu6M7+gc82/TUdvfsxh3Ppn9WsxFt4k88ijgDWTdr8VR9x6wieMyLa+//ro+//nP6z/+4z909dVXn/JaMi2IlYsFkAUvi91DZt+hxFf8trzSH8e488kMniWl7Ncy3poxjrj3QA5kmmlx1F/z/fv36wtf+IIeeuihMQMWSSovL1c5+/vwkWwWQMal5QcGUnc1loyH4zi6Grtmi2pFhVGHRYqfUjEX55p1WipG66I4opbQOMadT2a/llTTlBsbN457mtIR9x6wkaMyLVdffbX27NmjadNG6yrcfffd+tznPpfRxxfSlmdk74l9T+i6ruvGvO7xpsfVMrPFeCdHxdVctUV1HEGbI7a/5yDYtFouFoQ74t4DFnNlpuX555+3ewhwsUy798ZdNzRkBCzmOohU0wzmdVk8AM0tqomLJk1mWt8RW1R9vvTfW5qpldhX/La90h/HuPPN7NdiJUfce8AmjqrTAkxEnW+W/B/8zUhxsUSeqBT44G9U55s1etDvj69RUl8vvfhi/LqInp6sH4LpFk2aCiGt78RaQsWCe49iRdCCglH6lxNqf/mTkpQUuJjvb3z5kyr9y4n4kxkWV8tWoXfHNmsJpSt4htzh3qNYEbSgcPj9avrJK+rcframDiacGpQ6t5+tpp+8kjprYhZXi5VQXC1bbFEFAGs5aiHuRLEQF5KkYFDhhsXqDR8erZJaWqPSbdvTByE5KlLGFlUAGJsji8sBeREIqPQnW1TfJ7W8KtX3SaU/2ZJZwGJxkbLEbAtZFgAYP4IWFJ5g0OhSHGvVqtTBRyiUvOh2wYLkxbmh9PVfxmKubZEKYy0LANiFoAWFJdusiVmkLHEqKHZx7gSLlNEdGwCswZoWFI7xlnbPQ5GyaFTas8fojs2ODwCI58ricsCEjLe0ex6KlJlbVAEA40fQgsLh8xnl9lNlTQIBI8PigNLuAIDxIWhBYXFBaXcAwPiwEBcAALgCQQsAAHAFghYAAOAKBC0AAMAVWIgLFJFwJKzeI706NnRMlRWVqquqU2lJqd3DAoCMELQARaJrf5fautsUGhxtSeD3+tXe2K6mGU02jgwAMsP0EFAEuvZ3qfmp5riARZKODh5V81PN6trfZdPIACBzBC1AgQtHwmrrblNUyR07zGNru9cqHAnne2gAkBWCFqDA9R7pTcqwxIoqquBgUL1HevM4KgDIHkELUOCODR2z9DoAsAtBC1DgKisqLb0OAOxC0AIUuLqqOvm9fnnkSXneI48C3oDqquryPDIAyA5BC1DgSktK1d7YLklJgYv5/sbGjdRrAeB4BC1AEWia0aTO5Z2a6p0ad9zv9atzeSd1WgC4gicajSbvg3SpwcFB+Xw+DQwMyOv12j0cwHGoiAvAiTJ9flMRFygipSWlqq+ut3sYADAuTA8BAABXIGgBAACuQNACAABcgTUtAJBHw8PSs88ab9MpL5euucZ4C2AUQQsA5NGuXdLy5WNft22bVF+f8+EArsL0EADk0aJFUk2N5EldoFglJVJtrXEdgHgELQCQR2Vl0vr1UroKWZGIcb6MPDiQhKAFAPKspSV1tsXMsqxYYc+4AKcjaAGAPEuXbSHLApwaQQsA2CAx20KWBRgbQQsA2CAx20KWBRgbQQsA2MTMtkhkWYBMELQAgE3MbItElgXIBP9EAMBGra3SRRdJc+faPRLA+QhaAMBGHo80b57dowDcgekhAADgCgQtAADAFQhaAACAKxC0AAAAVyBoAQAArkDQAgAAXIGgBQAAuAJBCwAAcAWCFgAA4AoELQAAwBUIWgAAgCsQtAAAAFcgaAEAAK5A0AIAAFyBoAUAALgCQQsAAHAFghYAAOAKBC0AAMAVCFoAAIArELQAAABXIGgBAACuUGb3AAAgl8KRsHqP9OrY0DFVVlSqrqpOpSWldg8LwDgQtAAoWF37u9TW3abQYGjkmN/rV3tju5pmNNk4MgDjwfQQgILUtb9LzU81xwUsknR08Kian2pW1/4um0YGYLwIWgAUnHAkrLbuNkUVTTpnHlvbvVbhSDjfQwMwAQQtAApO75HepAxLrKiiCg4G1XukN4+jAjBRBC0ACs6xoWOWXgfAGRwZtPT39+vss8/WsmXL7B4KABeqrKi09DoAzuDIoOXWW2/VF7/4RbuHAcCl6qrq5Pf65ZEn5XmPPAp4A6qrqsvzyABMhOOClkceeUQ1NTWqqxv7l8nw8LAGBwfj/gBAaUmp2hvbJSkpcDHf39i4kXotgMs4Kmg5fPiwfvSjH+mOO+7I6PoNGzbI5/ON/AkEAjkeIQC3aJrRpM7lnZrqnRp33O/1q3N5J3VaABfKa3G5+fPn68CBAynP7d27VzfddJM2bdqkSZMmZfT5brvtNn3ta18beX9wcJDABcCIphlNWnrhUiriAgXCE41GkwsZ2GBgYEC1tbWqqKiQJL3//vs6ceKE5s+frxdeeCGjzzE4OCifz6eBgQF5vd5cDhcAAFgk0+e3Y8r4+3w+HT9+fOT9H//4x3rmmWf0zDPP2DcoAADgGI5a0wIAAJCOY6aHrMD0EAAA7pPp85tMCwAAcAWCFgAA4AoELQAAwBUIWgAAgCs4ZsszAOcYHpaefdZ4m055uXTNNcZbAMgHghYASXbtkpYvH/u6bduk+vqcDwcAJDE9BCCFRYukmhrJk7pJskpKpNpa4zoAyBeCFgBJysqk9euldFWcIhHjfBm5WgB5RNACIKWWltTZFjPLsmKFPeMCULwIWgCklC7bQpYFgF0IWgCklZhtIcsCwE4ELQDSSsy2kGUBYCeCFgCnZGZbJLIsAOxF0ALglMxsi0SWBYC9+PUDYEytrdJFF0lz59o9EgDFjKAFwJg8HmnePLtHAaDYMT0EAABcgUwLUARogAigEBC0AEWABogACgHTQ0ARoAEigEJA0AIUARogAigEBC1AkaABIgC3I2gBigQNEAG4HUELUERogAjAzQhagCJCA0QAbkbQAhQZGiACcCuCFqDI0AARgFvx6wooQjRABOBGBC1AEaIBIgA3YnoIAAC4AkELAABwBYIWAADgCgQtAADAFQhaAACAKxC0AAAAVyBoAQAArkDQAgAAXIGgBQAAuEJBVcSNftS6dnBw0OaRAACATJnPbfM5nk5BBS1DQ0OSpEAgYPNIAABAtoaGhuTz+dKe90THCmtcJBKJ6J133lFFRYU8Ho/dwxm3wcFBBQIBBYNBeb1eu4fjeNyv7HC/ssP9yhz3Kjvcr1HRaFRDQ0M699xzVVKSfuVKQWVaSkpK5Pf77R6GZbxeb9H/Rc4G9ys73K/scL8yx73KDvfLcKoMi4mFuAAAwBUIWgAAgCsQtDhQeXm51q1bp/LycruH4grcr+xwv7LD/coc9yo73K/sFdRCXAAAULjItAAAAFcgaAEAAK5A0AIAAFyBoMUF+vv7dfbZZ2vZsmV2D8XR7rvvPl166aWaOXOmZs2apS1bttg9JMc5cOCAFixYoOnTp2vevHl67bXX7B6SY3344YdatmyZpk+frssuu0xXX321Dh48aPewHG/z5s3yeDx65pln7B6K4w0PD+srX/mKLrjgAs2cOVOtra12D8nxCqq4XKG69dZb9cUvflHHjx+3eyiOdskll2jnzp3y+XwKBoOaM2eO5s+fr/POO8/uoTnGrbfeqjVr1mj16tXq7OzU6tWr9corr9g9LMdas2aNPv/5z8vj8WjTpk26+eab1dPTY/ewHKuvr08PP/ywrrrqKruH4grf+ta35PF49Oabb8rj8ehPf/qT3UNyPDItDvfII4+opqZGdXV1dg/F8ZYsWTJSUTEQCOicc85RMBi0eVTO0d/frz179oy8mvvSl76kYDBI9iCN0047TV/4whdGWoJcddVV6uvrs3dQDhaJRHTzzTfr/vvvZwtvBv7yl7/okUce0R133DHyd+ycc86xeVTOR9DiYIcPH9aPfvQj3XHHHXYPxXW2bt2qP//5z5o3b57dQ3GMYDCoyspKlZUZCVaPx6OqqiodOXLE5pG5Q3t7u5YuXWr3MBzr3nvv1cKFC3XFFVfYPRRXeOutt3TGGWfozjvv1Ny5c1VXV6cXXnjB7mE5HtNDNpo/f74OHDiQ8tzevXt10003adOmTZo0aVKeR+ZMY90vs7v3vn37dOONN+rJJ5/U6aefns8hokDdeeedOnjwIA+VNF599VU9/fTT+vWvf233UFzj5MmTevvtt3XxxRfrrrvu0t69e3X11Vfrtdde09lnn2338ByLoMVGu3btSntuYGBAf/jDH3TttddKkt5//32dOHFCS5YsKdpfnKe6X6bXX39dX/ziF/Xoo49q0aJFeRiVewQCAR07dkwnT55UWVmZotGojhw5oqqqKruH5mj33HOPurq6tHXrVk2ePNnu4ThSb2+v+vr6dMEFF0iS/vSnP2nNmjU6duyY/uEf/sHm0TlTVVWVSkpKtHLlSknSnDlzVFNTo3379hG0nEoUrrB58+bo0qVL7R6Go73++uvRadOmRbu7u+0eimMtXrw4unnz5mg0Go3+7Gc/i15xxRX2Dsjhvve970Uvv/zy6Lvvvmv3UFxl8eLF0f/8z/+0exiOd/XVV0d/8YtfRKPRaPTQoUPRM888MxoKhWwelbOxpgUF46tf/aoGBgb0zW9+U7Nnz9bs2bP13HPP2T0sR3nwwQf14IMPavr06brrrru0efNmu4fkWKFQSF//+tf13nvvqaGhQbNnz9aVV15p97BQQH70ox/p3//93zVz5kwtW7ZMDz74oKZOnWr3sByN3kMAAMAVyLQAAABXIGgBAACuQNACAABcgaAFAAC4AkELAABwBYIWAADgCgQtAGxXXV2tCy+8ULNnz9bFF1+sH/zgB5KMJo833nijamtrNWfOHF1++eW68847JUmvvPKKFixYoMmTJ2vZsmU2jh5AvlDGH4AjPPnkk5o9e7befvttzZo1S4sWLdKKFSt07bXX6sCBAyotLdWJEyf08MMPS5IqKyu1ceNG7d27V7/85S9tHj2AfCDTAsBRpk2bpgsvvFDd3d2qqKjQd77zHZWWlkqSJk+erLa2NkmS3+/Xpz71KZWXl9s5XAB5RNACwFH27dunP/7xj+rp6dH8+fPtHg4AB2F6CIAjXHvttZo0aZImT56sRx99VL/61a/sHhIAhyFoAeAI5poW08DAgB566CH7BgTAcZgeAuBILS0teu+99/Td735X4XBYkvTBBx/ovvvus3lkAOxC0ALAkSZPnqzt27frrbfe0vnnn6+ZM2fqyiuv1IkTJyRJb7zxhvx+v772ta/pueeek9/v1wMPPGDzqAHkkicajUbtHgQAAMBYyLQAAABXIGgBAACuQNACAABcgaAFAAC4AkELAABwBYIWAADgCgQtAADAFQhaAACAKxC0AAAAVyBoAQAArkDQAgAAXOH/BzlnL2WSnWWKAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# principal component analysis: first two components\n",
+    "D,U = np.linalg.eig(np.corrcoef(x,rowvar=False)) # D is vector of eigenvalues, U is passage matrix with columns = eigenvectors\n",
+    "ord_eig = np.argsort(np.real(D))[::-1] # sort eigenvalues from largest positive to smallest negative\n",
+    "D = D[ord_eig]\n",
+    "U = U[:,ord_eig]\n",
+    "\n",
+    "# new coordinates along 2 first components\n",
+    "y_pca = np.real(np.dot(U.T,x.T))[:2,:].T\n",
+    "\n",
+    "# linear discriminant analysis\n",
+    "lda = sda.LinearDiscriminantAnalysis(n_components=2)\n",
+    "y_lda = lda.fit(x, x_label).transform(x)\n",
+    "\n",
+    "# PCA space (1st and 2nd principal components)\n",
+    "plt.figure()\n",
+    "for i_c in range(c):\n",
+    "    plt.scatter(y_pca[i_c*n:(i_c+1)*n,0], y_pca[i_c*n:(i_c+1)*n,1], marker=mks[i_c], color=cols[i_c])\n",
+    "plt.xticks(fontsize=8)\n",
+    "plt.yticks(fontsize=8)\n",
+    "plt.xlabel('PC1',fontsize=8)\n",
+    "plt.ylabel('PC2',fontsize=8)\n",
+    "plt.title('PCA space',fontsize=8)\n",
+    "\n",
+    "# LDA space\n",
+    "plt.figure()\n",
+    "for i_c in range(c):\n",
+    "    plt.scatter(y_lda[i_c*n:(i_c+1)*n,0], y_lda[i_c*n:(i_c+1)*n,1], marker=mks[i_c], color=cols[i_c])\n",
+    "plt.xticks(fontsize=8)\n",
+    "plt.yticks(fontsize=8)\n",
+    "plt.xlabel('C1',fontsize=8)\n",
+    "plt.ylabel('C2',fontsize=8)\n",
+    "plt.title('LDA space',fontsize=8)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "d3d0a622",
+   "metadata": {},
+   "source": [
+    "PCA projects in the directions of largest variance, but doesn't care about classes labels (unsupervised learning).\n",
+    "\n",
+    "LDA finds a suitable direction to separate the classes (supervised learning)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e5c261d2",
+   "metadata": {},
+   "source": [
+    "## Exercices\n",
+    "\n",
+    "- check other synthetic datasets for clustering: https://scikit-learn.org/stable/datasets/sample_generators.html#generators-for-classification-and-clustering"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.8"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/unsup_lrn/basic1_pca.ipynb b/unsup_lrn/basic1_pca.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..e1b9ae69e6e69f016990d58a9d0263cba88b0389
--- /dev/null
+++ b/unsup_lrn/basic1_pca.ipynb
@@ -0,0 +1,354 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1668ce31",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import scipy.stats as stt\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "248a9c26",
+   "metadata": {},
+   "source": [
+    "Principal component analysis is useful to analyze samples that are distributed in a multidimensional space. Let's start with an example with 2 variables that are linearly related (e.g. speed and accuracy)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "325285bb",
+   "metadata": {},
+   "source": [
+    "## General case\n",
+    "\n",
+    "Principal component analysis is useful to analyze samples that are distributed in a multidimensional space. It provides the direction of maximum variability."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "768804f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# number of samples\n",
+    "n = 100\n",
+    "\n",
+    "# dimensionality\n",
+    "d = 5\n",
+    "\n",
+    "# mean of samples\n",
+    "mu = np.zeros([d])\n",
+    "\n",
+    "# covariance of sample distribution\n",
+    "sigma = np.eye(d)\n",
+    "sigma[0,1] = sigma[1,0] = 0.7 *  sigma[0,0] * sigma[1,1]\n",
+    "sigma[0,2] = sigma[2,0] = -0.5 *  sigma[0,0] * sigma[1,1]\n",
+    "\n",
+    "# generator of input samples (normal distribution)\n",
+    "gen_data = stt.multivariate_normal(mu, sigma)\n",
+    "\n",
+    "# select desired digits\n",
+    "x = gen_data.rvs(size=n)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b517cc8f",
+   "metadata": {},
+   "source": [
+    "We can visualize the data in their original 3-dimension space, with an interactive plot."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "edde06c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using matplotlib backend: QtAgg\n"
+     ]
+    }
+   ],
+   "source": [
+    "d0 = 0\n",
+    "d1 = 1\n",
+    "d2 = 2\n",
+    "\n",
+    "# interactive 3d plot\n",
+    "%matplotlib\n",
+    "plt.ion()\n",
+    "fig = plt.figure()\n",
+    "ax = fig.add_subplot(projection='3d')\n",
+    "\n",
+    "ax.scatter(x[:,d0], x[:,d1], x[:,d2], marker='.', color='k', label='samples')\n",
+    "#ax.arrow(mu[d0], mu[d1], mu[d1], pc1[0], pc1[1], width=0.1, color='blue', label='pc1')\n",
+    "plt.legend(fontsize=12)\n",
+    "ax.set_xlabel('dim '+str(d0))\n",
+    "ax.set_ylabel('dim '+str(d1))\n",
+    "ax.set_zlabel('dim '+str(d2))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "e6ab16e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# principal components\n",
+    "ev, u = np.linalg.eig(sigma)\n",
+    "i_pc2, i_pc1 = np.argsort(np.abs(ev))[-2:] # index of principal (maximum) eigenvalue\n",
+    "pc1 = np.real(u[:,i_pc1]) # principal eigenvector\n",
+    "pc2 = np.real(u[:,i_pc2]) # second eigenvector\n",
+    "\n",
+    "# dimensions to plot (TO DO: try others)\n",
+    "d0 = 1\n",
+    "d1 = 2\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,d0], x[:,d1], marker='.', color='k', label='samples')\n",
+    "plt.arrow(mu[d0], mu[d1], pc1[d0], pc1[d1], width=0.1, color='blue', label='pc1')\n",
+    "plt.arrow(mu[d0], mu[d1], pc2[d0], pc2[d1], width=0.1, color='red', label='pc2')\n",
+    "plt.legend(fontsize=12)\n",
+    "plt.xlabel('dim '+str(d0))\n",
+    "plt.ylabel('dim '+str(d1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "82d2368b",
+   "metadata": {},
+   "source": [
+    "Depending on the chosen dimensions for the plot, you see pairwise effects. PCA generalizes to multivariate effects. \n",
+    "\n",
+    "It is often used to project the original data in the space of the first components."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8541a635",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn import decomposition\n",
+    "\n",
+    "# scikit-learn version of PCA\n",
+    "pca = decomposition.PCA(n_components=2)\n",
+    "x_pca = pca.fit_transform(x)\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x_pca[:,0], x_pca[:,1], color='m', label='pca')\n",
+    "plt.xlabel('pc1')\n",
+    "plt.ylabel('pc2')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19dbeca8",
+   "metadata": {},
+   "source": [
+    "## What about nonlinear manifold?\n",
+    "\n",
+    "Adapted from https://scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html#sphx-glr-auto-examples-manifold-plot-compare-methods-py"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "03e6ea57",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using matplotlib backend: QtAgg\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn import manifold, datasets\n",
+    "\n",
+    "n_samples = 1500\n",
+    "x, x_color = datasets.make_s_curve(n_samples, random_state=0)\n",
+    "\n",
+    "def plot_3d(points, points_color):\n",
+    "    x, y, z = points.T\n",
+    "\n",
+    "    %matplotlib\n",
+    "    fig, ax = plt.subplots(\n",
+    "        figsize=(6, 6),\n",
+    "        facecolor=\"white\",\n",
+    "        tight_layout=True,\n",
+    "        subplot_kw={\"projection\": \"3d\"},\n",
+    "    )\n",
+    "    col = ax.scatter(x, y, z, c=points_color, s=50, alpha=0.8)\n",
+    "    ax.view_init(azim=-60, elev=9)\n",
+    "#    ax.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
+    "#    ax.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
+    "#    ax.zaxis.set_major_locator(ticker.MultipleLocator(1))\n",
+    "\n",
+    "    fig.colorbar(col, ax=ax, orientation=\"horizontal\", shrink=0.6, aspect=60, pad=0.01)\n",
+    "    plt.show()\n",
+    "    \n",
+    "\n",
+    "plot_3d(x, x_color)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "3304fe28",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sample mean\n",
+    "m = x.mean(axis=0)\n",
+    "\n",
+    "# principal components\n",
+    "ev, u = np.linalg.eig(np.cov(x, rowvar=False))\n",
+    "i_pc2, i_pc1 = np.argsort(np.abs(ev))[-2:] # index of principal (maximum) eigenvalue\n",
+    "pc1 = np.real(u[:,i_pc1]) # principal eigenvector\n",
+    "pc2 = np.real(u[:,i_pc2]) # second eigenvector\n",
+    "\n",
+    "# dimensions to plot (TO DO: try others)\n",
+    "d0 = 0\n",
+    "d1 = 2\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,d0], x[:,d1], marker='.', c=x_color, label='samples')\n",
+    "plt.arrow(m[d0], m[d1], pc1[d0], pc1[d1], width=0.1, color='blue', label='pc1')\n",
+    "plt.arrow(m[d0], m[d1], pc2[d0], pc2[d1], width=0.1, color='red', label='pc2')\n",
+    "plt.xlabel('dim '+str(d0))\n",
+    "plt.ylabel('dim '+str(d1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "dbbefb34",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# scikit-learn version of PCA\n",
+    "pca = decomposition.PCA(n_components=2)\n",
+    "x_pca = pca.fit_transform(x)\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x_pca[:,0], x_pca[:,1], color='m', label='pca')\n",
+    "plt.xlabel('pc1')\n",
+    "plt.ylabel('pc2')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e37b0e6",
+   "metadata": {},
+   "source": [
+    "## Exercices\n",
+    "\n",
+    "- check other synthetic datasets from scikit-learn: https://scikit-learn.org/stable/datasets/sample_generators.html#generators-for-classification-and-clustering\n",
+    "- check fMRI dataset and spike train dataset"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/unsup_lrn/basic2_pca_vs_ica.ipynb b/unsup_lrn/basic2_pca_vs_ica.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..09c0f1585227cbf116d9b1f981041d1047ec9049
--- /dev/null
+++ b/unsup_lrn/basic2_pca_vs_ica.ipynb
@@ -0,0 +1,97 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "d5918418",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "from sklearn.decomposition import PCA, FastICA\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "6bbdaae9",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# angle\n",
+    "theta = 0.5\n",
+    "\n",
+    "# generate dataset\n",
+    "n = 100\n",
+    "X = np.zeros([n,2])\n",
+    "for i in range(n):\n",
+    "    phi = np.random.rand() * 2 * np.pi\n",
+    "    rho = 1.0 / (0.1 + 0.5 * np.random.rand())\n",
+    "    X[i,:] = rho * np.cos(phi), rho * np.sin(phi)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "86774dac",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.collections.PathCollection at 0x7fc4a581f610>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure()\n",
+    "plt.scatter(X[:,0], X[:,1])"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/unsup_lrn/nonlinear_decomposition.ipynb b/unsup_lrn/nonlinear_decomposition.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..70e91d3b223d0a77f03769d91eaa04fe1283e6fc
--- /dev/null
+++ b/unsup_lrn/nonlinear_decomposition.ipynb
@@ -0,0 +1,443 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "1668ce31",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "\n",
+    "from sklearn import manifold, datasets\n",
+    "#import umap as umap_learn\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "248a9c26",
+   "metadata": {},
+   "source": [
+    "Principal component analysis is not suited for non-Gaussian data. Let's review methods that can be applied to arbitrary data, aiming to uncover their structure in high dimension."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19dbeca8",
+   "metadata": {},
+   "source": [
+    "## Manifold learning: looking for nonlinear data structure\n",
+    "\n",
+    "Adapted from https://scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html#sphx-glr-auto-examples-manifold-plot-compare-methods-py and https://umap-learn.readthedocs.io/en/latest/basic_usage.html"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "03e6ea57",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using matplotlib backend: QtAgg\n"
+     ]
+    }
+   ],
+   "source": [
+    "n_samples = 1500\n",
+    "x, x_color = datasets.make_s_curve(n_samples, random_state=0)\n",
+    "\n",
+    "def plot_3d(points, points_color):\n",
+    "    x, y, z = points.T\n",
+    "\n",
+    "    %matplotlib\n",
+    "    fig, ax = plt.subplots(\n",
+    "        figsize=(6, 6),\n",
+    "        facecolor=\"white\",\n",
+    "        tight_layout=True,\n",
+    "        subplot_kw={\"projection\": \"3d\"},\n",
+    "    )\n",
+    "    col = ax.scatter(x, y, z, c=points_color, s=50, alpha=0.8)\n",
+    "    ax.view_init(azim=-60, elev=9)\n",
+    "\n",
+    "    fig.colorbar(col, ax=ax, orientation=\"horizontal\", shrink=0.6, aspect=60, pad=0.01)\n",
+    "    plt.show()\n",
+    "    \n",
+    "\n",
+    "plot_3d(x, x_color)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "be4c2bfd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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Jrf8NuUZT4zQBF51/CFddegQ7dhZiNBnonpWIouzX+NNCRJ1fZixn5eKtHHHiUIaP6QPA3X/7H8sWbAx8h6YCFLQ4MGhWzxQmPXouQ8f0kWO1i5AAFWYSoLqGktJK7nnsS/5cucO3oJmO2g2pKqgovn5NDe6rqgqpybF4NY3DDu7LZRceRkpyrJyCEyJIdF3n6/cX8st3y9mbW0z+npLalfsRoBoafkgfJj9xAamZ8uUnUkmACjMJUJGpwuHk46+Wsq+gjP59Mvj066Vs21lYu0EbOnj36pnCfZNP5Y4HPmNfQRlmk5FDx/blsIP7Me7Q/lhllG0hwkbTNGZ/uYw/f99EaX4F61bsoKzhfIXtGRhUr/8ta8CwHjzw+lUkJMfuf9EiJCRAhZkEqMhQWeXi4We/Y97vG9HRMagqXk1DVVXfeDUBLqNuTYCy20x8+Po1JMTbg1G2ECIIykoref2xb5n3/QqcVW68Hm+A94A2tlZVy+6TztMf/YO4RHlP6OwkQIWZBKjOa29+KTPnrCK/oIwZP63C2VxfpibGoWkYojLS4hk2uBs52SkcPLoPA/tJR28hIp3X46VwbynP3PkJyxdu8k2+3M4ABZCUGofVasJiM3PRjccx7uQRHVyx6AgSoMJMAlTnsmnbPm576FPy9pXVLmzN3HF1tqt7Oy7WzGknjGD0gb0YOayn9F0SIgq4qlz8/stanr/3C0oLA4wL2FK4qlmtADo88s619DugO2v/3IbNbmHwqF7yXtIJSIAKMwlQ4aXrOr8sXM/MOasoKati5ZpdATby/dNUgDKoCr1zUhnUN5NFf2yhsspDdrck7r71FHpkJQWtdiFEZHBWufnizV9585nvq6eYaeGjtE5ndYNB5dAJB7B84SbKih0AWO0msrKTmXjj8dI6FUYSoMJMAlTo6brOirW7ePW9+SxftaPuiibu4PsnUIBKiLcydFAPpvzjeJITYzq8ViFE1+Mor+Kzab/w/guzfaf76qrbAoUvQMUm2ikrrkDz6rXbVG907T1nkpmdTGyCnSGje6Gq0jIVKhKgwkwCVOjs2VvKk6/M4o+VO3C5vc23LNX9Uw+wXazdzLsv/U1CkxBiv3g8Hr54ax4LZ63CGmMhq0cy37y7ANWgAAomswFVVamsqDM1jf/9Sa+3LCUzgQHDsjnpokMZM35IKJ9GVJIAFWYSoIJL0zQ+++4PXn5vbuMBLVsboIA+Oanceu0EUlNiyUpPkHFbhBBBs3D2KubPXIHFauK0yw7n+bs/ZfWybWjemrHialugam/X12tQJt17pXPyxYdx0LiBoSk8ykiACjMJUB1P03Ty8kv5ZvYK3v18EV5PE7PzNhWgaubKUuDgkb2586aTSJKWJiFEmOzeXsAdl75C3o7qseZaEaDqGnvMEP7x4LkkpcXJtDIdSAJUmEmA6jir1u3inc8X8deaXZSWV9VfGegvN0CA6tc7nam3nEJWRgJmk7zRCCE6B5fTw9Z1ubw09XPW/bkdRQGL3UyVw4XubeJLYl3Vfa16DsjkvteuolvvtCBX3PVJgAozCVD7R9d1Pvx6CS++8wtanfcQBXwBqW46aiJE2Swmhg7M4tbrJshVc0KIiLF9Yx53Xfoy+buLW95Yq99i1aNfBhfffAIHHzcUW4wlaDV2ZRKgwkwCVPuUllfy7ueL+Hr2itrWpobzz9UNUA3+ck0mA6dPGM7FZ44lPTUu+AULIUQQuJwetq7N5X+Pfc3y35qYBBlqA1SDj3FbjIWR4wZyzrXjGTK6TxAr7XokQIWZBKi2Wb1xN+989jvzFm9Ca+OwAyajytCB3Zl8zXHk9EgJap1CCBFqjvIqtm3Yw6P/eIt9ucW1K+oOjdDMx3hSWhznXX8cZ/3t6GCW2WVIgAozCVCt887nv/Pqh/Nrr0JpTp0AlZYcyynHDuOoQ/rTv1d6UGsUQojOYs0fW1n5+yaW/rKW5fM31K5oxcf4GVceyXX3nxPE6roGCVBhJgGqabqus2DZZp7930/s3lvaqgO/JjzZLEZuv/4Ejjy4v3QGF0JEtW/enseHz/9AQV5J/b5QTTAYVb7Z8mwIKotsbfn8lk8hERKOSicPv/Q9vy7aiLd65F0FfOMKQLNBymozcvPl4zltgkxvIIQQAKdedgSnXnYEVQ4nP322hE9f+YncrflNbq95NTxuLw9c9RqL56wGHbL7ZXD/W9eSlZMawsq7DmmBCgJpgaq1J7+ESQ99yrbcIt+Chp3CazT4M0xJtHPtReM47ojBWGSMEyGEaJau62xZvYt/3zadDcu3N1qf3T+DAcOzmf3xokbrrHYz9/7vakaOGxSKUjs1OYUXZhKgfANfnn/TNHL3lgTeQA882OWwgd245apjGNAnM9glCiFEl1S0r5RnJ7/P0p/Xomk62f3Sefrzm7nqiIcoKypv8n6p3RJ59qtbSc1KDF2xnYwEqDCL9gA145dVPP7qD7656ZrS4Kq6lMQYXnjgArJlzCYhhAiKS8fcS37N2YCGdN1/JsBiN3P7S1dwyPHR121CAlSYRWuA+mXxBv795hzy9pW1vLEOyYl2rr3wcE49ZpjMQyeEEEH202eLefLGtxuvqBOe6krtlsijH91Ij77Rc0ZAAlSYRVOA0jSN1z9ewNtf/o7XW+e0XDN/VaqicMW5h3DlOYeiqhKchBAiVBbMXM5/Jn9AaVFF7cJAAarO7YSUWN5c+hBWqzlEVYaPBKgwi5YA9f2C1Ux9bkbtguq5MJsLURNPG8U/Lj5KgpMQQoTR7z+s4KGrp+Fxe5tsgQL8y1WDwj1vXMshxw8PYZWhJwEqzLp6gCouc3Dd1A9rr6yrSwdFr/0dfC1OI4Z05/l7z5dTdUII0Yks/GEFL9wxnfxdgd7PA8QDBW58fCInXzYu+MWFgQSoMOvKAeqdr37nxQ/n+W40MZFvTSvUoD4ZXDfxCMYO7xW6AoUQQrTZsl9Xc89FL6J5A8+v51e93Bpj5vkf76J7n641G4QEqDDrigHqtz+38MDLMygurayd0LfhX07NiOFmI3dcezwTDh8c4iqFEELsj9mf/s5TN7zVxBfkxgvPuHo81z10fvALCxEJUGHWlQJUWUUlJ1//Mm63b766+oNfNt5+cJ90Xr5vImYZ/FIIISLW1Mte4vdZK+ovbCIu9BuezYMf3EhialwIKgsuCVBh1lUC1Kad+Vx8W+BvIg07itusJp6aciYHDekZqvKEEEIE2Y8fL+TpmqEPAsUFXfeflTj8lAO563/XRnRfVwlQYRbpAcrj9fLG5wt544uFjeeobDAAptVi5PFbz2Ds0F4hrFAIIUSo5O0s4PrxD+MorWy8ssGHRHb/TF6Zf1/EhigJUGEWyQHq+wVrePDlmXi8WtMb6WA2qlx97uFcctqYiD1QhBBCtN63b/3K8//6oHZBTesTdRfpGIwKR505mn+9/LfQFtgBJECFWaQGqKvufZ9Vm3Y3XtGg03iszcSXz11LjN0SyvKEEEJ0Av++9V1mvTcfXQscoGoWJmcm8NqC+4mJt4e+yHZqy+e3GqKaRCfmdHm4YMobrNq8J/AGSu2/R4zszY/TbpLwJIQQUermpy/h4/XP0GtI93rLdV2jbqIq3FPCuf0msaupz5YIJwEqyi1ZvYMzJ73G1t3Vg6gFOB2nKApXnD6WeW/dzFNTzg5xhUIIITqbmHgbL/18D6f835EoSk3LU2O6pnPdEfcz76ulIa4w+OQUXhBEyim8SU9+xoK/ttaffgXqXWmhKgov3H0+Iwf1CHV5QgghIoDb5eHOc//NigXrA29Q3dH8kJNGMPW9G0JYWdvJKTzRLF3XOf9fb/jCUyCKAoqC0WRg1ivXS3gSQgjRJJPZyJNfTWb44QPqr2gwx97CGcs5vdv15O8JMG1MBJIAFWUqnU4O+79n2ba78R9wbdc/OGZsf+a9eTOxMdaQ1ieEECIyPfHlZB799GYUVakNTnXPcek6rkoXlwyewrI5q8JSY0eSABVF9hWVcvTVL6Bp1D9np9T+jSfEWfns2at45KbTwlChEEKISDbyqCF8uf15Tvm/oxqFp7ruPPtZ/lqwLrTFdTAJUFFixYZdnPLP1wNObwSAAkaDwpfP/o1uaQmhLE0IIUQXYraauPGpSzj7HxN8C5roav2vU57kq9d+CmFlHUsCVBTYsruAqx6c3nhFnVao7IwE5r15MzarOXSFCSGE6LKuefB8Jj1/eYOrlKpV9496cfK7PH7NayGvrSNIgOrifl66gQtuf6vZbUYP6cEnT10lI4oLIYToUCdcdAQPTL+p8Qqltp/UnOm/8eLkd0Nc2f6TANWFrdiwi3/992vfjSay0WWnjuGFO84PXVFCCCGiytgJw3lj2SOYrUbfAl3H1xm31lev/cRjV70ShuraTwJUF7Vu6x6ueqjBabvqEFVztd3NFx3JPy4YF+rShBBCRJms3ul8uu15ElJjm+wT9fPHC3n5tvdDXFn7SYDqgsrKK7l0ahN/hIrv54V/ncPEE0eHtC4hhBDRy2Q28u7qpzDbTIE3UBS+eOkHNvy5JbSFtZMEqC7G6/Vy3A0vNbvNp4//H2OG5oSoIiGEEMLHZDLy+a4XiUkMMMFwdcvUjUc+wLY1O0NcWdtJgOpizr7tDfxnlgP0e3r8ptPIzkwKZUlCCCGEn8Fg4KPN/0E11P+Q0gFd09A1jWsPvpuKsorwFNhKEqC6kKfe+4nc/FKgzqjiSu3Pf249i/Gj+oevQCGEEAJfiPos90WMZgPoOrqm1etYrms6Z2ddH8YKWyYBqot4+oM5TP/xz9rAVK2mq97ki47m0OG9w1CZEEII0ZjVauGrvFew2M1Ndiy/esydIa6q9SRAdQFuj4cPZ/3hu1ETnuqEqBMPHcT5xx8U8rqEEEKI5qiqyquLH25y/fY1u9CbCFfhJgGqC3jgjVn1W57qnLY79YghPHDtyeErTgghhGhGRnYqt75yZf2F1SOVo+vcctyDeD3e8BTXDAlQEW7ttr3M/G1t4JUK3Pe3E0NbkBBCCNFGx198FD0GZPpuNGhxWr1wI2ekXxOGqponASqC6brOtY9Prz9BsF7789GDl4anMCGEEKKNpi17nGMvPCzgOrfTzat3fhDiiponASqCnXPXG1RUueuNVlBz5d2rd5xP7+5pYapMCCGEaLt/vX4tCalxAdfNfOPn0BbTAglQEWrjzn1szysG6gxZgG9+xokTRjJyQI9wlSaEEEK02ylXjW+8UNepKKrg2etfD31BTZAAFaHufPVb3y9q9U91M5TRoPLPC44KV1lCCCHEfrn83nMxWYy1faF03d9KMPN/P1NcUBK+4uqQABWBNuzYx+bcwvojjSu+v6+zjx6OQZWXVQghROT6Kv91FFUBr1b/FAtw+YCbw1ZXXfJJG4GufCxwRzqTSWXKxceEuBohhBCiY6mqSt/hOb7Q5B/SQAN0KsudaHVGLQ9bjeEuQLTNr8s24HB66l15V9MHatrtF4apKiGEEKJjPfnDXf7QBDq6rvsH1bxm5G1hrQ0kQEWcf73yrf/3muCkAEZVYUjvzHCVJYQQQnQoe4yVpIwEwDdsj6IoKNWn8bav3RXO0gAJUBHH7dX854Fr/tWB8SP7hq8oIYQQIgje2fhff3hqaN2STWGoqJYEqAjy1sxFvtCkAGr9EPXodaeFrzAhhBAiCEwmI7ZYq/+2P0zpcM+ZT4axMglQEeV/MxYHXB5ntwRM50IIIUSke3npo+ia5u//pGu+f4urx0IMFwlQEaS80lV/QXVmeunWc0NfjBBCCBECWb0yaseC0uqMDQXs2rg7bHVJgIokeoDbCgzOyQhHNUIIIURI2GKttVfk+a/Mg1W/rQ9bTVEdoBwOBzNmzOChhx7i7LPPJicnx9/Lf+rUqeEur56KSqd/sMy6Dh2SE5Z6hBBCiFC5Z/rN/t/rDmew5PvlYaoIjGF75E5g0aJFnHzyyeEuo1Xu+t9M/0TBfgo8db10HhdCCNG1jZowAmuMhcqyKv8yXdfZvnpn2GqK6hYogKSkJI499limTJnCBx98QGZm5xxL6bdVW33hSQFdqR0Dymo2hbcwIYQQIsgURSF7ULdGyzct3xa2UcmjugVq3LhxFBYW1lt2++23h6ma5rk1rX7rkxBCCBFFygrLGy/UdRb/8BcHn3BgyOuJ6hYog8EQ7hLaT6kdT1MIIYTo6rzuAC1NisKmZZtDXwxRHqAiRU1nufoLwWCQBCWEECI6jBx/QO3EwuD/fe/O/LDUIwEqAni1AAFKAZMhqs/ACiGEiCLd+mfgvxbd37Cgs2nZ1rDUI5/AHcDpdOJ0Ov23S0tLO3T/+4rKAi6XFighhBDRIjkrqfq3+o0Kdad6CSVpgeoAjz76KAkJCf6f7OzsDt2/y+Nt03IhhBCiqzns9DEBl5/0t2NCXImPBKgOcMcdd1BSUuL/2bFjR4fuPyM51j+EQQ1dAVV6kQshhIgS8clxXPnIRfWWHXbGaMZfcERY6pFTeB3AYrFgsViCt39TnbGe6mQmLVDnciGEEKKLmnj7WRx78ThWzltL76HZ9B4Wvtk4JEBFAEVR/Gd8Feqc/ZUWKCGEEFEmPTuVYyaGp9WpLjmFFyHMJt9LpdecylPAo0kfKCGEECIcJEBFiIE90monE67+16PpFJQ6wlyZEEIIEX0kQEUIu9VcOxce+H9/bPrs8BYmhBBCRKGo7wNVVFSE11t7KqxmUkKHw0F+fu3oplarldjY2JDXVyM9MZZGXcYVmLNiUzjKEUIIIaJa1LdAjRw5krS0NP9PzRAETz75ZL3lN9xwQ1jrvOmMcbU3avpB6eDxypV4QgghRKhFfYCKFKkJMYFXKJBbUBzSWoQQQohoF/UBauvWrei63uLPm2++Ge5SSY631xsHqub3S5/+MCz1CCGEENEq6gNUJHn/XxMbLdOBgrJKPB4t9AUJIYQQUUoCVATJTIr3/VJnLKiasTSn/bAoXGUJIYQQUUcCVITJyUj0/67X+Xl91u9hqkgIIYSIPhKgIsz/bj4fqDMWVDWXR2PG0jVhqUkIIYSINhKgIkxKXAxDe2f4bujUO513x1sz/eNYCSGEECJ4JEBFoBeuO7s2ONWhA+c89nY4ShJCCCGiigSoCJRgtzKoR1rAdZvzili3c2+IKxJCCCGiiwSoCPXS38+qv6BOi9QFT74X8nqEEEKIaCIBKkIlx8XQIzW+yVN5D3w4KxxlCSGEEFFBAlQE++y2y5pc9+lvqyipqAphNUIIIUT0kAAVwSwWEzedeli9ZXXHhjrhgddlhHIhhBAiCCRARbirJhxMWnyAiYZVcLjcHHrHC6EvSgghhOjiJEB1AT88cDXdUuJrB9es86o6PR5ue/u7MFUmhBBCdE0SoLoARVH44NaLfK+m0nj9jD/WcfP/vgx5XUIIIURXJQGqi0iMsfH3CWN9N/TG639auZkXZy4IbVFCCCFEFyUBqgv5+8mHk5OaGLAVCuDlWb/z+/rtIa1JCCGE6IokQHUxX9/1f/TJTK6/sDpQ6cDVL3/Kl4tWhbwuIYQQoiuRANUFfTbl0nqTDNdQ8IWouz+cxS1vfh2e4oQQQoguQAJUF6SqKvMe/Ls/MNWo+/sPf23kxtelY7kQQgjRHhKguqj4GCuLn7gRm8noH1izoZ9Xb2b6/OWhLk0IIYSIeBKgujCz0ciMu69qqk85AA99+hPHPfAauh4oYgkhhBAiEAlQXVxKnJ25D17b9AYK5JWUM+q2/+J0u0NXmBBCCBHBJEBFgYQYOz/dc1Wz27i9GqNvf55VO/eEqCohhBAickmAihJpSfH8+eRNDOuZ6VvQ4Aq9Ghf95wMKKxwhrU0IIYSINBKgoojBYOD9myfSNyulyW00HY667xWOffA1PB4thNUJIYQQkUMCVBT6YspljO3Xo/GKOi1Se0vKOebBV0JXlBBCCBFBJEBFqWl/P48HLzyhdkGD03k6UFhRxea8gpDWJYQQQkQCCVBR7MwxQ/jm9isY0iMdCDxWVLGjihJHFZvyCqh0yVV6QgghBIAx3AWI8MpJS2L6pIu564OZfLl0DTq1jVEmg8q63fu44uWP0XQdVVE49aBBPHz+CShKc6NLCSGEEF2btEAJAB6eeCKXHDESQ3UwSoqx8PglJ/HwF3PQqgfZ1HSdr5au4eLnP5SBN4UQQkQ1RZdPwg5XWlpKQkICJSUlxMfHh7ucdvtq6WrunP59wHUmo4Gc1ERe/9vZpMbHhrgyIYQQouO15fNbWqBEk3okJzS5zuXxsiGvgKMefo31uftCWJUQQggRfhKgRJNG9urGsQf0rbcs0MTEE1/8kEnvfsO8dVtDVZoQQggRVnIKLwi6yim8Gg9//hPTF/6Fpuu14aluH/IG/ckfOfd4zhh9QIiqE0IIITpGWz6/JUAFQVcLUABur5df1mzhn29/3Wx4qhFnMfHZzZfRLalrPH8hhBBdn/SBEh3OZDBw3NB+TD33uFZtX+Z0M+HxaRz2wIsUydx6QgghuhhpgQqCrtgCVZfb42XO6k18u3wtP67a1PzG1S1UCTYLn910CZmJXe//QwghRNcgLVAiqExGA8cPH8CzF5/GoKzUpjesc3qvpNLJsY9P4+nvfqVKRjQXQggR4aQFKgi6egtUQ2/NXcIT385tvCJA/yi9evnInlk8dcFJZCU1PVSCEEIIEUrSiTzMoi1A1fjvrPm88tMi340mOpfrDdb1Sk3kuYtPp29GSrDLE0IIIZolASrMojVA1bj2f58xb8O2RssDDoFQzWY28u+JpzJuYO+g1iaEEEI0JagByuVy8cknn7B48WK8Xi/Dhg3jvPPOIzExsdn7nXPOORQXFzN79uy2PFxEivYABaDrOje/+zU/rq7tZN5cgKpZpipw7qih3HHqeCwmmetaCCFE6AQtQG3atImTTz6ZjRs31luemJjIE088wVVXXdXkfbOysti7dy9er7e1DxexJEDV0jSNn9ds4d4vfqCworLpDZXGN68/5hDOPGgI3aWflBBCiBAISoCqrKxkxIgR/vAUFxeHyWSisLDQtyNF4fLLL+f1119HVRtf3CcBSnyyeAWPffsLjrpX4TXRV6pmnVFVeebCUxjdqwcJNguK0twdhBBCiPYLyjAG06ZNY+PGjcTExPDBBx9QXFxMfn4+y5cv58QTT0TXdd566y0mTpyIpmn7/SRE13PumGEsmXoDj5x7AskxVt/CFuK7R9O46f2vOeyRlzjgnn9z7FOvs3r33uAXK4QQQjSj1QHqs88+Q1EU7rvvPi644AJ/S8CwYcP47rvveOyxx1AUhU8++YQLLrggKlqaRPucedAQ5t31d17/v7PISWni9FwTQyDkFpdxzgvv8cTMX/huxTpcHk9QaxVCCCECafUpvPT0dAoKCigsLCQhIfCH3kcffcQll1yC1+vlrLPOYvr06RgMBkBO4YmmFZY7+Of7X7Nsey66TvOn9Wg8FEKMxcyU44/gvNHDUVU5xSeEEKJ9gtIHymw2Exsb6+/z1JTPP/+cCy+8EI/HUy9ESYASLdE0jZ/XbeGzpSv5ae3mJrdrGKBqjOyZxVWHjyYzMY4DumUErU4hhBBdU1ACVFJSEg6HA6fT2eK2X3zxBRdccAEej4ezzz6b6dOn0717dwlQotUKKxzkl1Xw3OwFzF6zmZqGqabCEw2WTxwzgntOHS+dzoUQQrRaUALUmDFjWLZsGcuWLWPEiBEtbl+3Jeqcc87h559/pqCgQAKUaBNd13n1l0W8MGchbq/W4um9mvU60Cslka2Fxf7FZ40YzANnHI/RIFNACiGEaCwoAerGG2/kxRdfZOrUqdxzzz2tKuSzzz5j4sSJeDwedF1HURQJUKLdXB4ve0rKuOKNT9hdUtZ4gzrhqe7thnqnJHHvKeM5tG9OMMoUQoSRruu43W65GjyKqaqKyWRq1xmIoASob775htNPP51evXqxcePGgGM9BVLTEuV2uyVAiQ6h6zozVqzj0e9+Ib/C4Vuo1J7ia/Y0Xx1mo8qU44/k9GGDMRpUYizm4BUthAgqr9dLfn4+ZWVluN3ulu8gujSTyURcXBypqan+i9laIygByuVyccopp+DxeHjooYc4/PDDW13Ql19+yaRJkwDYvLnpzsFdhQSo0HF5vOwsKmFbQRG3ffY9ZVW+Pnp6W754VG8bZzEzJCuDiWOGc+IBAzq+WCFEUHi9Xnbs2IHT6SQhIYHY2FgMBoP0gYxCuq7j9XopLy+npKQEi8VCdnZ2q0OUTCYcZhKgwqPC6WJrQRFpcTG8Nncx7/z+Z+vuqDT4FzCqCulxsVw0ZgQXjhpGrNXa0eUKITpIXl4excXF9OzZE5vNFu5yRCdRWVnJ9u3bSUxMJCOjdVdmS4AKMwlQ4afrOv+ePZ9X5i5ueeMAAaqhZLuN644cy4juWYzokdUhNQoh9p+u62zatInY2FgyMzPDXY7oZHbv3k1FRQV9+/ZtVYukBKgwkwDVuRSUlzPp4xms3LUHh7vByOWtCE/QuGO6xWjgusMPZsLgvvRJTcbQyj6BQoiO5XK52LRpE9nZ2cTGxoa7HNHJlJeXs2PHDvr27YvZ3HI/17Z8fhs7qkghOquU2Fje/r/zANA0nUXbdrBoy062FxXzzYp1rd9RnZDl9Hj5zy8L+M8vC0CBBKuFw/vkcPeJ40mJsXfwMxBCNKXmaru2dBQW0aPm7yIYV2VKgBJRRVUVDundk0N69wRg4ugR/G/+UuZv2UqVp51XiOpQUunku9Xr+WHdRvqkJGNUVbKTEhickcbFYw8kzmLpwGchhGhIOoyLQIL5dyEBSkS1UTndGZXTHYAt+UUs3LKdN35byvaiktbvpM7x6fZqrNubD8CqPXuZuWYDz/68gNQYO8cP6seNRx+G1+slOcYup/2EECKCSYASolrv1CR6pyYxccwINF1n4ZYdvPXbUvaVO1iXtw8P7e8umF/h4P2lf/H+0r8AX+Y69YCB2C1mrCYjZw0fwuDM9A56JkIIIYJNApQQAaiKwmF9enJYH9+pPqfHw5JtO3lw5s/klpTi9nrRavJUzUR9baADX62q7n+lwJuL/sCkqkwY1I+MuFgOyclmaLcM0mJjOuopCSGE6EASoIRoBYvRyOF9ezHzH1cA4PJ4+HbVej75YyV/5e7B5fXWTnbcSg23d2sa361eD8Abvy/DoCg8ecaJnHzAQBZt20lRZSUHds8iKz6ug56VENFl+3bIzw93FfsvNRV69gx3FUIClBDtYDYaOWvEEM4aMQQATddB1/l0+So+XraS5bl79vsxvLrOlC9n8tlfq5m3ZRvgC12qoqDpOlaTkZMPGMg/DjsYVVXIiIuVflVCNGH7dhg4EKqqwl3J/rNaYd06CVHhJgFKiA6gKgooCueNHMZ5I4fhcLn4ad1mVuTm8eeuXCpcbgorHBQ4Kv33aU1rlVfX/eGp5j7e6qHbKt0ePv1zFZ8uX9XoftkJ8RzetycxJiuXjxlBpoxHJqJcfn7XCE/gex75+V0jQG3dupV58+axdOlSli1bxh9//EFZmW+y+C1bttCrV6/wFtiMDgtQlZWVFBcXtziJY8+u8IoL0QK72cypwwZx6rBB/mW6rvPGwqUs2rYTi9HIrLUbaGngBFVRUJTa0NQaOrC9pJTtf6wE4PVFS1DwzfV3eO8c0mNj6ZuazKlDBsrwCkKIsJo6dSpvvfVWuMtol/0KUOXl5TzxxBN8+OGHbNq0qcXtFUXB4/G0uF2olZWV8fTTT/Ppp5+yZcsWDAYDAwYM4MILL+TGG29s1eilQrREURSuPHQ0Vx46GgCvpjF/01a+Wb0el9fDntIKVu3Zi7P6GDGoCpeNGckbi5a1+jGailk6UOp0MWPtBv+yp3+Zx7Onn8znK9dQ4HBweK+eXDV2lP80oMvrxaSqMr6OECJoVFWlb9++HHTQQYwaNQpd17njjjvCXVartDtA7d27lyOPPJINGzbQ2tlgOuOsMdu2bePoo49m69atANjtdpxOJ0uWLGHJkiW89957zJ49m6SkpPAWKrocg6pyZP8+HNm/T73lO4pK2FFcQp+UJDLj47CajLw0f1Hrd9zKvFNS6eTqj78AfC1cC7ZuZ09ZOdcfNpYbv/iWxTt3YTMZuWP8kUw8cDizN25mY0EBfZOTOa6/b16pMqdTWrGEEO322muv1RtF/ueffw5fMW3U7gB11113sX79eux2O7feeisnnHACGRkZGI2R063K6/Vy2mmnsXXrVrKysnj77bc57rjj0DSNjz/+mKuvvpo//viDiy++mO+++y7c5YookZ2UQHZSgv/2pKMP57IxIylyVLJ4+y7+O3cBBRW+vlQGVWl8eq/mZiuClFfT6233wR9/sW5fPst25QK+flb3zvqJXzZvZfbGzRgU3+Md2jObRTt3+h87zmymW0I8MSYTDo+brLg4ju7Ti/6pqRyQnkZJVRVpsbGYZLoNITqto48+ml9++YX77ruPO++8k2eeeYb333+fTZs2YTabGT16NLfccgsnnXRSk/tYs2YNzz//PHPmzGHHjh3ouk737t0ZOXIk5513HmeddRZqnYtdInkKnnannW+++QZFUXjzzTc599xzO7KmkHnzzTdZsWIFAJ9++imHHnoo4GtSvOCCC9A0jYsuuogZM2Ywe/Zsjj322HCWK6JYSoydlBg7/dJSmDhquH+5R9P4eeNmnpj9K1uLSto8lELDkKXrOot37KTurFEGRWH2xs1AbV+s37bvqHffMpeLdfv2+W+v3buPOZs3N3q4XkmJTD5yHN+tW8f24hIyYmPpk5xEWkwMDrebYZkZjOneA7vZ1JZnIYToQC6Xi+OOO465c+diNBqJjY2luLiYH3/8kR9//JH77ruPqVOnNrrf448/zp133umfd85qtWIymVi/fj3r169n+vTpFBUVkZiYGNonFCTtDlAlJSWYzWbOOuusjqwnpGo6ro0fP94fnuq68MILueuuu9iyZQtvv/22BCjR6RhVleMG9OO4Af3qLV+3dy/3z5rDzuJSdB3KXS40XcdR5yKP7MR48h0OnB4vmq6jAOcOP4BZGzdRWOdqwYAd2Jtr3Wpm3daiYm748mv06m1W5OVBg+6T3ePj+WjiBazZt497f5zN7rIyfyg0qSrjeuVQUFmJ2+vF4XZjMxrpHh+P1WTyjdfVsyfjevViwbZtlLicVDpdDExL5YicXlS43Xg1DbvJhLH6W7D08RKivhdffJGqqipefvllLr/8cqxWKzt27OCWW27hk08+4f777+eggw7i9NNP99/npZde4vbbbwfg9NNP5/777+fAAw8EoLCwkKVLlzJt2rR6rU+Rrt0BKjs7m9zc3IhtfnM4HMyfPx+gyeZIRVE48cQTeemll5g1a1YoyxNivwxMT+f9Sy5otNzp8bBuXz5m1UC/tBQ27CvgP3MXkO9wMK53DtcfdjCH9urJzV995x9vqk9yEnsrKqhwuX3jXQU5b+wuK+OuWT8wb/t2PA1mUHdrGj9t3uK7UaeONXVGR/xk1aqANRoVBU+dMFhz+lMBxnbvzt1HjeeZ3+bz1548suJisRgM/LU3D4+mYTEaOanvAO4+4lhMmNiwr4hJ333P9oIyvF7A5sRgd2JQFB4YfxwTh/paCZ1eD//9/TfeX/kXFW4XVqORHnEJ9E1O5rAePbnggGHsLC3hP4t+o8Tp5JhevdlZWkqZy8mI9Ez6p6QyPD3DH/KcHg8eTSNGLmwRQVRSUsK0adO48sor/cuys7OZPn0648eP59dff+WOO+7wB6iioiJuu+02wNfw8P7779f7YpKcnMyECROYMGFCaJ9IkLU7QJ155pk89dRTLF68mDFjxnRkTSGxZs0afzPj0KFDm9yuZt2ePXsoLCwkOTk5JPUJEQwWo5HhWZn+24Mz0nj53DPqbXPK4IH0TExgwbYdJFgtnD5kMGv37eOmL79lT1k5GTGxxFhMbC4savwArQhXLZ1i1HSddfn5eBuEp/2huYzs/uwYvGV2dI8B3auCx4juVdG9BrZ7VT7VDGje49A9KmgquqaCt/pfTWWNrvCMf49JwIX+W/FHLyHlrF/w6jp3/fQDGTExHNO7L/+c+S3fb97o387tcrGmYB9rCvbxzYZ1zN+xjZmbNvhb+WZvqW2Oe1dZDsBJffvz6PjjueyrT/hrbx5QO3uQ1WTEZjRS6nSiA3aTCbPBQL/EFAakpODVff+HOQmJnNlvELoCabaYiP3iK0IjOzub//u//2u0XFVV7r77bo4//nhWr17NihUrGDZsGJ988gllZWWYTCaeeeaZqGnVbXeA+te//sXHH3/Mddddx+zZsyPunGZubq7/9+7duze5Xd11ubm5AQOU0+nE6XT6b5eWlnZQlUKEx7CsTIbVCVoHde/GvOuvpsrtwWoyous6/5n3Gwu376TC5STeamVrURH5FRW+MLAf75+qopCdkMDu8vIOeCY+VZt6UL6o6S9K+0fHva/+VbofrviLoekZ9cJTIN9uXN/i3mds2sDusjJ/eKp9VF8n/8o6Q8OUuVyATkGlg9937/RtVf1aPPrbr/7tbEYjqVY75R43VV43dqOJo3r2ZkxWd+LMFuxGEyMyskix2VusT3Q9Rx99dJMh6Mgjj8RoNOLxeFiyZAnDhg1jwYIFAIwaNYqsrKxQlhpW7Q5QKSkp/Pjjj1x00UUMGTKEa6+9ltGjRxMX1/w8XUceeWR7H7JD1Yx0Cr6hC5pSd13d+9T16KOPcv/993dccUJ0UlaT7y1DURRuHndYwG1cXi8ur5cdxSUYVYVv1qxl9qYtpNhs/P3Qg9lZUsLrS5aws6QUt6ah63q9flZDM9J59pSTufKzz1nXQROXmVKLO2Q/gSm496TUW2I0qI1OP7Zxl7X7UlXWFuQHXB24Na/B2gCTXVd6POwoL/VvXunx8Nn61Xy2fnXjvSmgopBktXHL2MNJttmpdLvpm5hMgsVKdnyCbyR+0WU016hgsVhISUkhLy+PvXv3Ar4zNAA5OTkhqa+z2K8xB4xGI7169WLRokU88MADLW7fWQfS3F933HEHt9xyi/92aWkp2dnZYaxIiPAxGwyYDQYGp6cBMGncEUwad0SdLbI5d1hta5Cm6xRUVFBQWYlBUemTnIRBVfl44oV88Ndf/LRpM8tyc/HqOsk2GxlxsWwpLKTK6+v8HogK9a4kNCaXgqKBHpwOrJ6iOHRNQVF99Vw5cjRZsXGMyerG4t25Ae+jAkk2OwWVjsYr64Qej6aREmOnqqKtLXLNx6x6mzRD18Gr6ORXObjz1x8C3lcBeickcmR2HzRNo8rrJc1u57icPgxKTsdmkqsqI0l7T8FFy6m7Gu0OUFu3buWII45g9+7dQOsGyexMA2nWbSlzOAK8gQVY11TrmsViwSKDCQrRLqqikBYbS1psbL3lMWYzfxs9mr+NHt3s/XVdp8rjodTpZF9FBVlxcRhVlZkbN7Bm7162FRfTMyGRaT10du0I0pPQDHiK4kjMrOTlk09ndDffN/hpp5/NHbN/4PtN6/FUd1g3GQzYDEYO7pHN1KPGM/mHmSzY2XRhFw4ZxlkDB3Ph5x+hU5utmn43bbDF/n6mtbJf2+aSYjaX1B81/4U/Fvr3oQDdY+M5re8gzup/AAOSU/ezMBEsO3fubHKd0+mkoKAAgPT0dAD/abuaAamjRbsD1L333ktubi6pqak8/vjj/oE0I6VzYrdu3fy/79q1i+HDhwfcbteuXQHvI4ToHBRFwWYyYTOZyKgTwi4YOqzedosOIHgBCph2+NUcf3z9ZXFmC8+fdGqz93vvrPNxeTxUeb3Emc2s3JdHqdOJ3WgiyWajV6Kvf9UPF13BA3PnsK2kGLPBAIpCotXKpuJCCior6+yxDaOBBTi9Fyw6sLO8lJeWL+L1FUu4edRhfLx+JUXOKg5My2RQShqJZhvnDDiAdHtsi/sTwfPLL7+g63rAFqW5c+f6zySNrv5yc9hhh/HGG2+wZMkSdu/eHTX9oNodoGbPno2iKHzwwQcROT7S4MGDUVUVTdNYuXJlk0MZrFzpm5A1MzNTrsATIoINHAizZ0ML8523i6LA+vU0ClCtZTYaMVfP4jAsPTPgNn2TU3jrjJYHLdY0Da+us89Rzu+5O1met4cqr4e1+XvZVlZCgtnKwOQUtpUVs76wEK1tQ6+2XYCA5tE0nlw8D0XxBatfdm7ll51bURWFV/9aTL+kFJbk7UJHJ9Fi5cKBwxmWmskJvfr7x+8SwbN9+3beeustrrjiinrLNU3jkUceAXyfocOG+b6knHfeedx6662UlpYyadIkPvjgg6g4ndfuAFVcXIzNZuOYY47pyHpCxm63c/jhhzN37lxmzpzJlClTGm2j6zrff/89AMe3951RCNEp9O8PweqCaTTChg0tbxcKqqqiAt3iEjhrYAJnDTygxfvouo7D42ZHaQkr9u5hQ1EBpa4qNhYVsqm4kAq3C7vRVB1sAvfpagu9wb81NF2n0FXJoj07/cGryFnFS3/55oIck9GdQclprCrYS6/4RE7pPRC300mmx9upuohEuoSEBP7+97/jdru59NJL/QNpTp48mTlz5gDw8MMP19v+iSee4LrrrmP69OlUVVUxdepU/0CaRUVFLFiwgFdffZV33nmH+Ph4/33dbjclJSX+23V/LyoqIrZOq3JCQgKmTtSfrt0BKicnh23btkV0yrz88suZO3cuc+bM4ffff+fggw+ut/7jjz9mc/V0FJdddlk4ShRCdJD+/X0dooPB7YZ164Kz71BQFIUYk5lBKWkMSklrdtviqkqKqirZWFzIn3v3sCB3G26vlzR7DMv37qGwqrL+HQKcJmzqJKPexPY1Fuft8rdMLdu3i882raK7xc79A0ezvigfa5WVXnFJWCJoTtbO6Prrr2fu3Llcc801/OMf/yA2Npaiotpx3+6+++5Gs5Bce+21FBYWcvfdd/Pll1/y5ZdfYrPZMBqN9a5g1xpcnTp//nzGjx8fsI6DDjqo3u05c+Zw9NFH7+ez6zjt/is7//zzefDBB/npp58ithXq8ssv5z//+Q8rVqzgnHPO4a233uLYY49F0zQ+/fRTrr76asA3UnkknqYUQtTq3z+4+1+zJrj77ywSrTYSrTZ6JyYzoVc/4Ih66zVNY37udtYV7mN9wT4W7N5BXkUZGr5sZFAUTukziIW7t7OvsgJN19t0ElGv+0uDoOX0eNlUUkCP2AS2lxX7r8S0GY0kpyRjtapUVbXjSXcyViukBrEPvtlsZvbs2Tz99NO8//77bN68mYSEBP9kwieffHLA+91xxx2cdtpp/Pe//2XOnDns2rULXdcZOHAgBx10EOedd1691qdIp+jtbPesrKzkkEMOoby8nB9//JHevXt3dG0hsXXrVsaPH++/esBut/suw60+ykaOHMns2bNJSkpqZi/1lZaWkpCQQElJSZf6YxEiknm9vg+eYJ3GU1WoqoJOdIah06n5uFEUhfzKCt5e/QcFlQ42FhfyR14uVqOREelZ/Lpra0t78v2j4G+BSu/eHaXmPz9AC5ZBUdi5Q6G4QEUB7CYzcWYLMSYTqhJZ/apSU6Fnz47f79FHH80vv/zS5GTBkaiqqootW7bQu3dvrFZri9u35fO73S1QH3/8MVdddRVTp05l2LBhnHPOOYwdO7bFgTQ726mwXr168ddff/HUU0/x2WefsWXLFkwmEwcccAATJ07kxhtvxCzzTgkR8QwGyMmBTZta3rY9NA22bg1+S1ckq9vlI9UWwy2jjgi43Tur/+CZpfOpcPsmwXbrGiZFpXtcPNvLSpoc/8svQOuUV9fJ6qGT1aOmXcoDOFCqN1UVhTizlQx7DCbVENHdU0RotDtAXXHFFf4/MF3Xeffdd3n33XebvY+iKJ0uQIFvfKf7779fRhMXoosbMgQ2bw5eX6gNGyRAdYRLh4zk0iEjAd/nS4mzihizGZfXy9NL57EyP4/cilJ2lJc0uq/ZYMDl9bb6sWrG1tJ0nSJnJUVO39h/JtVAosVGms2OUY2M4XlEaLU7QPXs2VMSuhAiogwY4LtiLhhDGahq57kSrytRFIVEqw3whZp7D/H1udV1ndUFefxn8TwMiorZYCTJHkOqLYZ1RfvqTQ/UHm7Ny77KcoqdlfRPTJXhE0Qj+zUSuRBCRJJgDmVgMPjGghKhoSgKB6Rm8t/xp/r6uCQk+fu4DEpKY3NJIZVeDwpgM5pweFqbmutfI+jWNIqclaTZYupt5fC4cXo8WAwG7Cbp5hGN5FpPIUTUkKEMooNBVemfVP8ytSqPmx3lJTg9Hv9pu8YaL1UATa9/6f1eRzl7HPUnl1cVhQSzlRiTmSSLLSLP0Pz888/hLiGiSIASQkSNYPdPWrs2uPsX7Wc1muif6AtVuq7j1ry4NY09jjIcbneTQyno6MSaauc6dXm9jcIT1O1DVcnO8hKMqoFki41U6UPVZUmAEkJEje7dwWwGlys4+9+9G5xOkLnFOzdFUTAbjJgN0Dchxb+81FVFQaWDKq8Hr65hUFSyYuKIqXOKzq21roO6R/Oyt7KcvZXlpNtiSbPF+MfBisTWKdFYqwLUAw88AEBqairXX399vWVtde+997brfkIIsb9UFXr3Dt6pNk3zXeU3eHBw9i+CK95sJd7c/FhBFoMRVVFaHkqhjpogBWA1Gkmy2LAbzdiNJglTEaxVA2mqqoqiKAwcOJDVq1fXW9ZW3jZcXhqpZCBNITqvs8+GL74IXl+oL7+E008Pzr5FYzUDJfbq1QubzRaSxyx1VflGOt/PPyKDopBksWMyqCRb7BjkSr8OV1lZydatW8M3kOaRRx6Joij0rDP0ac0yIYSIJDKUQdeiVoeOUH45jzdbGZKcTpnLSW5FGR5No20T0vh4dZ38qgpQYLejDBUFu9FEr/hkVPl87RA1fxdqEMJpqwJUoJ750ltfCBGJ+vcPTngCCVDhYDKZMJlMlJeXExsbG7LHVRWVBIuNBIuv1avC7WJXRQlOr5d2zpCGhk65x8Wqwj0MTsqQsac6QFlZmf9vpKNJJ3IhRFQJ5pV4Hk/0TCrcWSiKQlxcHMXFxSQkJITsNF5DMSYzAxLTgOrR011VODxuLKqBfVUVbR4dfX3xPvTqdi2LwUiaNYZES3ieW6SqrKyktLSUxMTEoJwxkwAlhIgqwR7KQMaCCr3U1FQqKyvZvn078fHxxMXFYTCEdz47KwpWg+/qPasllnKPC4fbRZmrqlUn++o2kjpwsc3hYIeiEm+2kGSxYTbIx3cguq7j9XopKyujtLQUi8VCampqy3dsB3kFhBBRJTMTbDaorAzO/vPywOEAuz04+xeNGQwGsrOzyc/Pp6ysjOLi4nCX1CSjrlPpcePSvFS4XU2GqYDRT4G86l8tBiMxRjM2Y8efmuoKTCYTiYmJpKamYjAEZxyuVgWoK6+8skMeTFEUpk2b1iH7EkKI9lAU6NMHVq0K3mNs2gTDhgVv/6Ixg8FARkYG6enpuN1uNE1r+U5hVuFy8c76ZXy3dQ0V3to2J1Xx9YdqJECqijOZsagGTut1AJcMGBXEaiOHqqqYTMEfIqJNwxgE2rS1Beq6jqIoMoyBECLszj8fPv3UN25TMHz6qW+4BCFaq9hZyYxta8mJTaLIVckN875ovFG9j1sdRakdjkNRfKsPTOnGfw87k+5xiUGvuSvq8GEMLrvssiaD0pdffklxcTFWq5VRo0bRo0cPAHbt2sXSpUuprKwkKSmJ02VgFCFEJzFggG/y32AEKINBrsQTbZdosTFxwEj/7VSrnTt/n8nmskLfggbhqUbdj2Yd+KMgl3Ffv0jPmAQeO+RUDsnICWrd0axVAerNN98MuPyiiy6ipKSEO+64g9tuu61RWisrK+Pxxx/n0UcfxeVy8d577+13wUIIsb+COZSBokiAEvvv4MwcZp9xLRVuF99uX8PraxaxoSTfv76lkz/bK0q4aLbvM3di3xE8OPZkGVuqg7W7E/lrr73G9OnTmTp1Kvfcc0/AbeLi4njooYewWCxMnTqV8ePH87e//a3dxQohREcI9lAGMqmw6CgxJjPn9x3B+X1HsK+ynO+2r+WNtUvYUVHY8tV8CqDDB5uX8+Hm5fx9yGHcOvwoGQS7g7SqD1QghxxyCEuXLqWwsJC4uLhmty0rKyM5OZlRo0axcOHCdhUaSaQPlBCd2759kJ4evP2npEB+fsvbCdFeZa4qxn/9EoXOZi4nDZCTbhp6BDcPOzJ4hUW4tnx+tztAJSYmYjQayW/lu0RKSgper7dTX17aUSRACdG56TrEx0N5efAeo7QUWvhuKcR+21NRxgNLZzFzZ4MByJpoZLIYjMw+5Vp+2LUegBOzB5Fhkz/UGiEJUPHx8TgcDvbu3UtycnKz2xYWFpKeno7dbqe0tLQ9DxdRJEAJ0fkdeCAsXx68/S9bBiNHtrydEB1B0zSeWzGP19f+XjskQoAQpSoKMUYTFR4XAHajmbtHHse4rD5k2eXzqi2f3+2eaGf48OHous4DDzzQ4rYPPvggmqYxTAZGEUJ0EkOG+K6YCxbpSC5CSVVV/jniSFZcMIWvjr8CS4A/bgXIsMVR6XWjAzo6FV4ndyz5lqO/eYGPNy9v05Qz0a7dAervf/87uq7z3HPP8X//939s3ry50TZbtmzhyiuv5L///S+KonD99dfvV7FCCNFR+vdv+Uqm9jIaJUCJ8Bma2o01F9zGinMnc2rPISSZbaRY7Fzc/yAy7bF4dV98qttC5dE1bl/8DYM/eYzzfnwLbwQMRBpu7T6FB74Ryt98801/j/7s7Gy6d++Ooijs3LmTHTt2AL5BNC+77LImh0PoauQUnhCd33vvwSWXBGffBoNv31HyliciyL9X/Mrzq+b5pilu5gvEsKRMzu9zICdnDybREj3zEoWkD1SN//73vzzwwAMUFhYGXJ+UlMQ999zDP//5z6i5dFIClBCd36JFcPDBwdv/2LHw++/B278Q7eHyerlnyQw+2VLdATDgx7IvFtR8ZJ/W8wCeGHM6pmCe8+4kQhqgAJxOJ7NmzWLJkiXs3bsXgPT0dEaPHs2ECROwWq37+xARRQKUEJ1fURG0cP3LfklKgia+VwoRdi6vl7c3LOax5bMbjCcVeJRzA3DLsGO4dvBhIaowPEIeoER9EqCEiAyJiVBSErz9FxX5HkOIzmqPo5Q31y/itXU1zaV6k30DFcXXcfrJsWdwek7XvCgsJFfhCSFEpAvmiOQgHclF55dpj+f2A4/jf0deyLjMPmTZ4mmuWUUDbl30JQ//OStkNXZWEqCEEFFr8GAZykAIgKOy+vLmURP5/qTr6B3X8rntNzcsYrcjiM23EUAClBAiaslQBkLUF2My8+PJ13P/yBMxq7XfLgIdJ1vLCyl3O9lclk+VN0izc3di7Z5MWAghIl3//r7Jf4NB1yVAich1cf/RTOw3ivuXzeD9zcsCbrO+ZC9XzX0fj65hVFT+NvBQbhl6TIgrDR9pgRJCRK0BA4K3b68XVq8O3v6FCDZVUbh/1Mn8fPKNZFjrz5f390GH88jyWXh034CbHl3j5bXzGfrZI/ycuy7Q7rocaYESQkStYHci37gxuPsXIhS6xyQw77R/srO8mI1l+xiYkM7Kot006muugEv3cs2CjxiT2pP3jr48HOWGjLRACSGiVlxccMeCKiuDgoLg7V+IUOoRm8jRWf3JsifQPSaxmS11Fhds49BvnmJPRdftaC4BSggR1YJ5Gg9g/frg7l+IcBiSmMlZPYfXLqjbyby6x3mB08FR3/+H/67+OaS1hYoEKCFEVBs82HfFXLBIR3LRVT0+9gymNNlp3BeidB1eWPsrz6yYHbrCQkQClBAiqvXvT7MDB+4PGcpAdHVXDzqcGcdfV2eJXuendviDVzbM58AvH8EZrMtew0AClBAiqvXv77tiLhg0TQKU6Pr6xqex9qy7OCi5R73lDceOqvR6GP7VI2wr7RqTREqAEkJEtWBeiadpMpSBiA6qqvLh+P/jwZGnoCjND1B7wo/Ps8dRGrrigkQClBAiqvXrF9z9b9oUvFOEQnQ2F/QZxcxjr8fUQryYvPjTEFUUPBKghBBRLSYG0tODt3+HA/buDd7+hehseieksvLsuzkkrVeAtb7+UcsLd3LBz68zLy9yB0uTACWEiHoDBwZ3/9IPSkSjt8ZdxtEZjZt4FQU8aPxVtIurF7zHv1dF5hV6EqCEEFFv0KDgDmUgY0GJaPXK4Rfx7zFno+Ib2CBQ16hX1s/jv6t/CnFl+08ClBAi6gVzKAOTSVqgRHQ7KXsoy8+8izePuBSjGih26Ly07ldeWzcv5LXtDwlQQoioF8yhDLxeaYESwqwaOCS9N2NTcxqsqf3m8uyaH1m4b3NoC9sPEqCEEFEv2EMZrFkTvP0LEUlePexiEky2RssVxdcKfOeyL9hXWRaGytpOApQQIur17dv8uDX7a8sWGcpACACjauC3U6aQYY2j4Wjlqgp5VaUcPetp5uV1/vPeEqCEEFHPaoWsrODtv6oKcnODt38hIomiKMw5cRKZtvgmt7lu4XtUedwhrKrtJEAJIQQylIEQoaQoCj8c/09O6D444MjlOjrn/fJyeIprJQlQQgiBbygDkyl4+5cAJUR9RtXAv8deQKzRUmepb6BNBdhakc8Zs58LU3UtkwAlhBAE90o8k0muxBOiKW8cdrn/95qxompapDZX5HPNgrfCUldLJEAJIQS+AKVpwdm3xyMBSoimDEnqxjtH/B8NO5XX+C1/c6fsDyUBSgghCO5QBrouQxkI0ZyDUnK4uPfYBuFJ9/98vHVxeAprhgQoIYQAevf2XUYdLFu3Bq+FS4iu4M7hp9S5VX/cj6fXfM+a4s51KasEKCGEAMxm6N49ePt3u2HHjuDtX4iu4LOjrqt3u+YKPQ2dS+a9ilcLUkfFdpAAJYQQ1QYPDu7+5Uo8IZrXPyGLz4/8B2qAoQ3cusYNi94NT2EBSIASQohqAwcGbygDRZEAJURr9EtM58j0AQHXzd+3Ea2TnAuXACWEENWCOZSB0SgBSojWum/4GdW/6XX+9f3+yfbO0aFcApQQQlQL5lAGbjesWxecfQvR1aTa4hiSkNlouaLA+1sXoneCySUlQAkhRLVgDmUAMpSBEG3x7uHXoCrQcHyorRX5zN0b/oHVJEAJIUS1nBwwGIK3/+3bfYNqCiFaZjQYeWHsZdVX4ukoio6q+E7lPbX6u3CXJwFKCCFqGI2QnR28/Xu9sG1b8PYvRFdzaFpfEsw2FKhujfJN9bLDUcDnYe4LJQFKCCHqGDIkuPuXjuRCtJ6qqJycNdx/+k6pM7zBU6tnhK8wJEAJIUQ9MpSBEJ3LKT2G17lVO72LSw/v+XAJUEIIUUf//sHrpyRDGQjRdsOSeqJAvSvvVBW8upft5flhq0sClBBC1NG/v2/y32CQoQyEaJ9r+x9d7zRezb+T/3g/bDVFbYByOBzMmDGDhx56iLPPPpucnBwURUFRFKZOnRru8oQQYSJDGQjR+QxO6FGv/5OPzo6KgnCVhDFsjxxmixYt4uSTTw53GUKITiY729cHyu0Ozv537QKXyzd5sRCidY5IG4Cv71P9CfLC2Q8qalugAJKSkjj22GOZMmUKH3zwAZmZjUc9FUJEF1WFXr2Ct39Ngy1bgrd/IboiVVVpGJ58t/WwzY0XtS1Q48aNo7CwsN6y22+/PUzVCCE6k8GDYePG4PWF2rDBd7WfEKL1rIqRKt1NbZDyHaD7qkrIsCeFvJ6obYEyBHO4YSFERBswwHfFXDCoqlyJJ0R7DEvq0WiZAiwq2BT6YojiFqhIo+saesVr4PwVDOkocbehGOSUoxDBMGBA8PpAGQzw668waJCvL5Tb3finrctr1o0cCXINjOiqBsRmsqRwCwp6vd5QK4t3cFr26JDXIwEqQuhF14PrJ98NN+hVs9DTfkU1pIS3MCHCqKoKPv64fWGj4W2XC5xO37/5QRxaxu2GL77w/QRSc6VR3SuOlAZdP2pOLep6/Z/58+Huu4PXeiZEOGXYEupN51Jja8W+sNQjh1kHcDqdOJ1O/+3S0tIO3b+mOWvDk58bih+AlP906GMJEUm++gouu6z2tqL4TpE1FTygcegIVj+n9tqfmt5+W8KT6Lqa6iq+r6okpHXUiNo+UB3p0UcfJSEhwf+T3dGzkWq+cS50Gryrun/p2McRIsKcdBKMG+cLTeALHl6vbyRxjydw65PH49tG0zpfeGovRYFbbgEZmUV0ZUoTx6uihifKREyAevPNN/0DXbbnZ+bMmUGr7Y477qCkpMT/s2PHjo59AN0KgFKn0VJHRye88wAJEW5xcfD993DCCbUhKtoYjb6+T48+Gu5KhAiubvYkaufCw//7yMScsNQTpW85HctisRAfH1/vpyOppuTqwFQbvxUUdHn5hMBm8/UnOvvswKfsujJFAYvF1w9MBuYUXd3Pe1agNDgTo6DTJzYjLPVEzNnyiRMncuqpp7b7/gkJCR1YTejp6PVboHQdlKowViRE52E2w4cfwjXXwP/+F+5qQkfXfc+3T59wVyJE8P1WsB5FUaoboHxBSlEUXFqQLpltQcQEKIvFgsViCXcZYeS7cFPTtXrLhBA+BgO8/rrvtN5/ouDaClWFq66C888PdyVChEbNtC0N58MbmRSebxByDihC6FjRdR2N2h9d1/B6i8NdmhCdhqLAs8/CvfeGu5LgMhh8kx7/+9/hrkSI0PHqXmr7QNWeyhuR0iss9UiAihCa0g2twblfHfCUPBKegoTopBQF7r8fnnoq3JUEj9EIn34Kdnu4KxEiNDRNw4uGgl6nH5SGKYxXj0TMKbxgKCoqwuv1+m/XTEjocDjIrzOSntVqJTY2NuT11aVajkCrbDz/g+b8Hngi9AUJ0cndeqvvdN5113Wd4QpqPP88HHBAuKsQInRe3jDT12mleoBZvfqgjlHD17UnqlugRo4cSVpamv+nZviBJ598st7yG264IcyVghp3TYPr8Gp07KCdQnQl11wD773nO+XVFa7QMxh8fZ6uuirclQgRWjP3LGs0Or+iwMCErLDVFNUBKpIYDBnoKNQ971sztIHHkxe+woTo5CZOhM8/9532iuSxogwG6N4dXnuta4RBIdqiwNW4sUDXdf7e76QwVOMT1afwtm7dGu4S2kQxDkP3/IUXb73lzn1nYcxaEKaqhOj8TjsNZs6EU07xzXWnNTUnRCemKL5+Tx08zJwQnd6n2+ZDvfMvvm8QqqIwKLGDZ/5ogwj+PhZ9zMmvowWcDWgXbreMCSVEc445BubMgZgYX2tOpHn8cRgd+gnnhQi7N7bMQlVAVWo6kOuARr+48AygWUMCVARRDWlNrnPlTwhhJUJEpkMOgblzISEhckKUweCb82/SpHBXIkToVXqclHgcQO1k4QbV16FlyqBzw1qbBKhIo2QGXKzr20JciBCRacQIWLAA0tJ8/aI6M1WFlBR4+23p9ySi07+W/69e53HwXVVrUg0ckNgzfIUhASrimJLfAGov4az5XQcqCq4NU1VCRJaBA2HhQujRo3O3ROk6fPQRpKaGuxIhQs+leVhevLnROCSKAjf0b//Ubh1FAlSEMZuHAFb/7ZogpQMe54zwFCVEBMrJgd9+843o3RlDlKLAPffAUUeFuxIhwuP+Fe8Aev1Zy3TfvLDn9DwiXGX5SYCKQJaUb9EArbrlydet3NexriTvzDBWJkRkycyE+fN9p/U6U4gyGuHww7v+lDRCNGV96U7m56+ss6S687gCF+Z0jm8VEqAikNHcD5T4BrMBVV+b4F2K27UlbLUJEWmSk+Hnn+HQQzvHOFGKArGx8OGHnSvUCRFKNyx9DvCFFIXaRiiLYuK6vieHq6x6OsHbhWiPmLQF/oE09QZjlFfknxDGyoSIPHFxMGsWHH98+EOUrsO77/oGzRQiGj266gPcuqf6ll4dnnxDGNw2+DyUTnJFhQSoCGUwxoOhX50RMXQ0dLzoaDioLHsl3CUKEVFsNvjySzjrrPBd8aYocPPNvgE/hYhGKwu3MCtvSYOlvhBlVowcl3VQOMoKSAJUBItN/cH/u0bt6TwdcJQ9iNu1MRxlCRGxzGaYPh2uuCL0j200wvDhvgEzhYhGmqZx45/PU/Np1nD4gidGXB2ewpogASqCGQxGLPHPBJxiGKA0/zi0SJyzQogwMhjg9dfhpptC95iK4gtvn37q+1eIaHTyL7dBgM8zRYED4nsyMqVf6ItqhgSoCGeLPQ+DKfAVCRpuCvYMCnFFQkQ+VYV//9s3jEAo6DpMmwZ9+4bm8YTobO5f8QYuf7+nunyB6rlRN4a2oFaQANUFxKW+C8T4b9f0h/KpYF/u8LDUJUQkUxR44AF48sngPo6qwpVXwoUXBvdxhOisfti9iF/z//KdsgvQAvXAAZejhvvqjgA6X0WizRRFIT7tS4CAp/N0PZ+CvJNCXZYQXcLkyfDKK8HpWG4w+Fqdnnuu4/ctRCTYXpbHE2s/8A9V0HDS4MEx2YzL6JyNABKgugiTaRDW2NvrxSdd1/HqOhrg9iyntOiRcJUnRES75hp47z1fa1FHBimDAT77DOz2jtunEJGi2FXKVUsfA6V+h3EF3+9GReHFgzvvLNoSoLqQmPgbQEkHfOGpYfdxh+N5igsfDX1hQnQBEyfC55/7rpbrqLMJzz0HQ4d2zL6EiCT7Kos5f8G9/pamulfegS9EzTzyiXCV1yoSoLqYtKw/ALWJ6/KgqvI5SookRAnRHqefDjNm+K6U258QZTDAOefA1Z3rqmwhQqLc5eCSRVP9t2tHGtf9tz889B4MnXwofglQXVBi2iaaOsugAw7Hc5SWTAtlSUJ0GcceCz/9BDEx7ZtqxWCArCzfVXedZEBlIUImz5HPOb/dCdSetms43tNzB/2TVGtSmCpsPQlQXZDJZCYpfU2T63WgvPwe9u27OHRFCdGFHHoozJ0LCQntC1Gffuq7rxDRZFfFPq5Y/CCBxnqq8fCwqxmU0CtkNe0PCVBdlMmUQGrG8nrLas80+4Y5cLp+Ir/g5nCUJ0TEGzECFiyAtDRfv6jWeuwxGDs2eHUJ0RnN37ecvy15CBTflXZKnX5Puu77+XvfMxmbMiS8hbaBBKguzGhMIzl1LtAwPNXerqyazo5dvcJWoxCRbOBAWLgQevRouSXKYPBNVnzLLaGpTYjO4sPts3hozbQmZs3QURS4vNcJnJ19dKhL2y8SoLo4s6VvdUtU3S56DTnZsSsbTasMYWVCdA05OfDbb9C/f9MhSlUhORnefbfjruATIhJ8tG0Wb2/9BvCNWVjDN2imzw19zuHiXpE3VqEcylHAaEwjLWNDC1t52LW7D5VVi0NSkxBdSWYmzJ/vO60XKETpum+S4rS00NcmRDi4NA9/X/IIb237xjdAJvVHGdd1X4i6/4CrOS17XNjq3B8SoKKE0WgnLX0bColNbqPrsDf/dAqKZcBNIdoqORl+/tnXwbxuK5OiwF13wfjxYStNiJBaUbSes+dNYrtjd73l9YYqUODfIyZxSGrkDoQmASqKmEwmundfQ9158xrSgbLy58gvugNN84asNiG6grg4mDXL19dJVX2tUYceCvfdF+7KhAiNj7bN4o4Vz9UZ0akxBXh/7IMMjJCr7ZoiASoKZXffiEFtfKVD3f5R5RVvsi03m4rKH0NXmBBdgM0GX34JF1zgm+fuww/bdpWeEJHIrXl4ZePHvLP96zr9m2qvtKvR196drw5/miRrfBiq7FiKrutND8gg2qW0tJSEhARKSkqIj++8fyQVju8pKLzCP4CZV/f9qdd8Z6j5w7BZTiEz7fUwVCiEEKKz+3HPQl7Y+D5eXavX8qTrdccW1zm727Fc1e/MMFXZOm35/JYWqCgWYz+BjLT5eHWlUXiizu8O57ds3z0Ot3tr6IsUQgjRKXl1L4+tfp3nNryLhlZnNHHd30m85vbN/S7p9OGpraRhOcpZLH3o2W0n+wquxOH8PmALlAY4vRvZmncoCrH06bYOVa7FFkKIqLXLkcctfz5Oleaq981bVXwtTyi+TxOTauDfI6bQK657uEoNGglQAlVVyUh7E4djNnmFl9Rb56X+GWydCjblZtM99Uvs1tEhrVMIIUR4lbsd/GfDWywrWo1H1wjUUVxRAF1hQsah3NB/Yr3xn7oSCVDCz24/lix1Nrn5JwLuOt3/Gv7x6+zKPx2joS8903/EYLCEulQhhBAh9vTaacwrWAZUtzIFoOtgVAy8fvADJJu79oSPch5G1GO1DqFPj+3E2S9GaXQyrz6PdxMbc3tTUPISci2CEEJ0Tb/k/c458//BvIKl/mVK9Zx29T4fdEizJvHuIY91+fAEchVeUETKVXgt8Xor2by7H00FqNorLACMpMbdTkri9SGqTgghRDA5PJVcveQOKr0uFKXhVXW1NB2MipE7Bl/N6OTIHRgT2vb5LQEqCLpKgALQdZ1Nu4ahU9honRbgL8egZtM76ycMatODdQohhOi8HO5K7vjrSXY69zRa1zBEKSic1f14zs8+AUsX6M7Rls9v6QMlmqUoCv16rMTjLWV73tF4Nd8B1VTs9mg7WLerP3HWk+iW8jwG1RbCaoUQQrSXrut8sO1LPsv9Hr2pUcSV2vd/IwYeGPpPBif0DWGVnYf0gRKtYjTE06fbMlLip6LrTf/Z1BxyZVUzWbdrICUVX4emQCGEEO32R9Eq7vjrcT7P/b6JThs+NeHpgPj+fHTYf6I2PIGcwguKrnQKLxBN87Cn8GbKKj9rtE7HN25UTZTyzaZnJDnmUronPxSyGoUQQjRP13Vm7fmFH/PmstWxq3qpUu89vCGLYuaFgx4gydL1PttA+kCFXVcPUDVcnly27j4SDUf1QP01P7UHni9A+W4b1BTS4yeREnsZiiKNn0IIEQ6arjFv3yJe3fwubt1Tr0uG70twzXt4zTs7mBQTp2YdwyW9zgxxtaElASrMoiVA1SivWsjewnuo8q6i7hSSUNsaVf+KPTAoGQzs9iMmQ1JIaxVCiGj2696FvLDpzSbXa3rtl+Ca9+yzu5/ExTmnB7+4TkA6kYuQirUeQmy3Hyit/J7dhVPwaAUATTQDV5/a0/eyetdwrKYD6Jv+PkZDcihLFkKIqLHbsYeH1j5DqasMVxOjh0Nt/yYFX4vT4amjubbvRRhViQqBSAtUEERbC1RDFVXzyS1+iCr3Cv8y35AHjQ9a3x+fAZOxJykxF5ERf22XHfZfCCFCbWnhnzy1/kUA/wS/mq7Q8P24JgnEGGO4vu/ljEkZHuJKOwc5hRdm0R6gauwteY7Cindxe3fVGTOqwUFb58e3zkic5UhyUp7AbEwPYbVCCNH1XPr79Xh0T71luv80Xf3348tyzuGUbhNCWF3n05bPb+nJK4ImPeFGBnX7nd5p0zGoNX2d6uf12i6KNQeyhzLnT6zIHc2y7f0prVwYsnqFECJSVXqq2FS2mQp3hX+ZR/M0Ck9QPdlvHeNTD+ONMc9GfXhqKzmxKYIu1no4Q3usYGv+PyhxfEvNtXnQ1CQxNeucbNh3PplxdxBnO4gY80gMqjno9QohRCT5cPunfL17pv/2BT3O5vTuJ2FUjZgVMy7d5V9Xc84p2ZRMtr0bNw+4CrvRHuqSuwQ5hRcEcgqveQVl08kr/S8u7y40vDTVobGGt05Tc5xlHH1SnsJszAh+oUII0QkVuYr5Nvd73LoLm2rn6z0zaPg++tTwB8myZbKyZA0Pr3m23rpzu53OOT1PDWHFkUP6QIWZBKjW0XUv6/LOweFa1ux23gbn6hU9hm6JNwEqKTGnYTFmBrdQIYQIM4/mYZtjGz/nzePn/Ln11tXvR+pzbe8rODL9cABKXKWsKFmD3WDjwMShqKr03mmKDGMgIoKiGBiU+QUebwk7Ch6gqOrjeusDJXtfZ3QHO4ofA2BH8SPYTUNJjT2LrPgrg16zEEKEkq7r3LNyKjsqd1bfruk7WudLJY3fL7NstV8sE8zxHJF2cPCLjTLSAhUE0gLVPl5vFZvzr6fU+aN/mdag9amp4RA0QFXisJsG0jNxCgm2sUGvVwghgkHTNX7M+4nNFVvYVrGV3Ko9AbaBeu+N1N4eFj+E2wdPCkWpXY6cwgszCVD7z+3Nx+nZxZq8C4Aq//JAwyHUzr9Xu1xVrCTbTqBX8l2YDanBL1gIIfaDV/eyongFs/fOZqdjJ4XuElQMaHXe3WrUfGrXtELZDDZOzjqB3ZV7GRw/gKPTjwhl6V2KnMITEc9kSMVkSGVk9+VsK7ydkqo5ePUSAjdW16jbUlVFvuNLSqrmMzzra9zefSiKGbupvwzUKYToFHY7dvPG1jfYUrEFD7XDDeg6qApoetMX2dS8C1pVK3cNnkJOTM/gFyzqkQAlOjWjwULfNN8VJLruxatV8VfuMbi1vf5tmps53K3l8+fu03B5C6uXKJjUZAanvUy8dYRMaiyECKn8qnymbX2FjeUb0XS9Ues5+MZp8vV10uv1daqhKgrjUsYxJGEQh6ZK36ZwkQAlIoaiGDAaYjiw+28UV80mr+w9Sqt+afF+teEJQMetFfBX3nkAxFsOJjvxBuLNB2A0yOlWIUTw7Kncw72r7kRD80+rQhP9OmtWqagYFAMGxYBbd9PD2o27h9yJ2SBj4oWbBCgRcVRVJdk+gWT7BDTNS5VnJ+v2XUelZ10T99BpqoWqxPk7JXm/o6MCKrHmoQxOfQq7uVeQqhdCRKuPdn7o79NUvydBgPcoBWIMcXS3definhPlFF0nJAFKRDRVNWA35zCy+wwA9pZ/wa6SF3F6d2JS01HVBMpdq5q8f90eVToapa6/WJh7AiY1kUTrwaTZTybNfjQG1Rr8JyOEiFg7Krbx1rZp7KncjUExMCppLBf0vBiLweLfptxd5v+9pgVKpaYbgi9EGTDQN7Yv49PHc0jKISF+FqItJECJLiU99kzSY8/0365y7+DP3Atw63sDbq83+L2mv4FbK2af43v2Ob4HwEAcybbDSbEdRUbsaRhUU5CegRCis9N1nXznXpYVL2Z+/i8UOPNx6zVTVCmgw7yCX6jUHFzb9wb//YYnjmCzY1Od/fjvAaiMShrF5b0uJ9YYG6qnIvaDDGMQBDKMQefi1SrYXfoxW4ufRMcJ1AYnhdqxpmpn6KtpSq9tVvfNXl4bsBTM2I396B53JjmJl4XiaQghwkTXdTaUrWFe/s+sKv0Lh9eBXufrl+/9ofEFKQoKL436H2r1xSqarvG/La+zsHAB4OvfNDBuEBf3vIxMm8yo0BnIOFBhJgGqc9tb/jW7y96j0rMDp3cvNSGpcYCqT9dBC/AmCWAxdOPAjP8Sbzmgw+sVQoSeW3Ojo/Pa5v+wqnR5nTHooOF7RFMByoiRF0a93mjoFK/uRdd1jKqcBOpsZBwoIZqRHnsa6bGnoes65c71rC+4i3L3ClT0AEPW+dS0QNVZQt03Uac3l0W5F3Jo96/ZXfEd5a4NaLqTROtoesSdi1mu8BOi09J0jZ/yZvDz3hkUe4oCDi0Q+HZdeqNtTsw6JeC4cwbF0NIc6iICSAtUEEgLVGTyaGUUVi4gr+IbChy/otUZAd3X+gT4v2U2vmpGB2zGHByeHdSPWwaGpz1JiXMVbq2UTPuJpNoPljGohAiTcncpe527STanEmdK4L4VN1PiKQJqJ+bV/ZeY+I7zpqaRquH7kuXrDmBRLZzR7RyOzTheBu6NMHIKL8wkQEU+Xdcpd61je8k0iqoW4fTuqe4rVVfjABVo0DvfVDMBmveVOCyGVDLsx9Ez/nxsxkx5sxWig3l1Dy6vi5m7P2FewY94dHe99f1ihrK+fLX/ds0HYsMBeps7hWc32BkSP4yzu19IkjlFjuMIJgEqzCRAdT0erYItxa+yu/yr6n5TjU/2KVjxVndSr8vXtypwa1PNpcyaDiY1DYshCR3oGXcmvRIuxKDIYHlCtJZX96Bi4Lvd0/l13/c4NWf1ifmmA42mKwHX+47bQK1QvuUp5lROzjqDg5IOxmawdeTTEGEkASrMJEB1fRWubewt/569lbNxefOJMfVlQPK/WJJ3NU5vnn+72omOmz9dp9Vp/q+hYMSgWPHqXjR0zIZkBiRcSc+40zDKG7aIYrqu49KcbKpYhaZrVHgq+GTn63h0T4P+inVHegsconyhqPb4bNgCFWuIJ8YYQ5W3iixrD07NOos+cQM6/DmJzkECVJhJgIpeDvd2Vuy7i2LnMmreir0thCfwfQv2bd34Tb72VELtOpOSAOhYDKn0T7yKdPshWI0p+12/EJ2Nw1POhvIVFLsKSDKlklu1jV/zv8WlVQ9JolPv9HptX6TW0XVIMWeS7/KNFVfzpceIiQOTxnBl73905NMRnZwEqDCTACW8mpt9jp/Q8RBrGsKiPX/DqeUF3Lb+B0CgABV4Xc3pv5oO7gpGTGo8ZkMiqbaRDE66DrOaiI4HoyotVqLz0nWdlcW/s7p0CS5vFanWboxNOZadlZt5b9t//dOfBL7v/gWo07tdxDHpp7KhbDW7q3ZxQMIIUi0Z+/V8ROSSABVmEqBEIKWujeyr+IVC51KKqv7Ao/umdaj9AGjiFEMz62ruH6gDu4IBT73+HwaSzIPIsB1Cqm0EydYDsBgS9/dpCdEqmqaR59yB3RCLxWDjrS2PssOxCY/urQ5I9a9sNWDEC82GJ2gqQNUIfArPiIlB8SM4s8fFpFlkAEtRSwJUKxQUFPDVV18xe/Zsli1bxrZt2/B4PKSlpTF69Gguv/xyzjrrrHbtWwKUaA1N0yhxraLI+SdubxXbyz6iylu/lap+MGp6gM9AAUrzLwt8P5MaSzf7seQ5FqPhJtU6nL7x5+ClCouSiqoYiTf1xWiU4eJE65S5i9lY9icObxlOrZIUcxZVWhVz8j6l2JNfZ0tfsKnbKTvQ0CCt6T/YMEABqLqKtzo4xRjjGZ96CkekT8AqfQdFCyRAtYLJZMLj8fhvW61WDAYDFRUV/mUnnXQSn3zyCXa7vU37lgAl2kvTvFR6dqHpbraXf8G20s9x6zUTkNb/ll1zpXTtGFUNRjtuIXjV3LfhCMp13xBqPphUrIxOu5W+8aeRX7WSEtdmEs39SbEOkUu2o4hbc5FbuZG8qu1UeR1srVjJzooNVOkOvHpNS1Gdv1OaHr0fAo2tVD9E+b4YBJ4ipe5UKj1t/ciy9WZP1U4yrT04o9ulmOtM4itEa0mAagVFURg7dixXXHEFJ5xwAn369AFg69atPPTQQ0ybNg2ASy65hHfeeadN+5YAJTqSpmkUVi1nV8VMqrz70DQve6vmold/YAUKT77lTXdMr9FUgGrc8uX7YEsw9afEvaH2MfynSxRUTBhVOzZDMonmvthN3TApdpKtA0i3DsFsiJfBQzuxLeUr2Vz+JzGGRCq8RawrW0yJex8m1cIhKaczPOEo/rflXgpcuQHvX/NJojcKUNBUK1L9Fqiae9Tev1/scNaXr6R2K4Vj0s/ErFrw6l5yYgaQYk4nxZwhQV50CAlQrTBnzhzGjx/f5PrrrruOV155BYDt27eTnZ3d6n1LgBKhUuHOpcy1hULnSgoql1HoXIlXr8SgWHDprhbv39QcXi21HNTwNvoArP0IDNR6oGLEoFpQMZFqHcyYtJuIN/Uk17GY3Y4/iDN1o3fcMQBouLGoCfLB2Eoer5tidx6xhiS2VvzJxoql2NVE0mw9KXXn4/CUUuzOZ3fleqqqJ8N1a07iTSkkmrPYXLG82f2nWXLIq9pZr+WnoUAduL3NnEZuPEVS7XaD40dxac6tFLnzyavcRYwxlh72PphUGRtNBI8EqA6wePFixo4dC8Bnn33Wpv5QEqBEZ1Du3sUfex9nX9UyNFzVAwrWHu4GxYZbqyLQiOrQlgDVzCCFLXSAN2Al3XYQOx0L/ctUjGj4Tq9n2UZxbLeHMakxLM5/mbVFX+GmEgUFsxrH2NTrMRqslLpySbD0REHBo1VhVuyYDHYSTb3YXrEQk2qnV+xhqKqhxecULJpW3Raj1v9/dXod7HCsxGaIQ0dnTfHPGFUTJsVGkWsnXjRSLD3pYR9CD/sQ5u/7gL+KZ1PpLUFHR9c1f6thw5aexlMQNVFbK65aU1DxtPBp0TBANdUCZVCMmDBTpTtAV0i1dMeq2rEaYjkoaRxDE8diVuUUnAg9mUy4A1itVv/vXq83jJUI0T6xpu6M6/7fRsvL3TtweUuJM/VmU+kXbCr5mCpvIWZDPA7PXnT/x2nDT8uObwny6FX1whPgD08Aeyr/YOG+/2AxJLKi6EP/ch2o0or4de/D1SHO0KheX1ys/eBWMXFR77eJN/uuuqr0FPPD7sfIdSzHpNowKlbcuoNM6wEckzWZAuc25u97nSpvCTkxY1Exss2xGIsag82QQJFrJzHGVIyKlW0VS9Hw4rv20QSAF18LoIIBg2rDqfn6V2ZZB3NhzlMYVCMbSn/ji50PBZzGWq/zQ5nv/z7RlEWxe3ftNtV94WpiqqY37oitEmjc/PqP0xqqYgC9fgivt58Ai1UUDk89DZfmotC5FxSdTGsOx6Sfjc0Y28pHFqJzkhaoJjz33HPcdNNNAKxdu5aBAwe2+r7SAiUilctbSolzCysLX2Fv1V9oeNBRsRoSOSj1FraVfc8ux6/+7bUAp2yg9iO2uasAffdXWhyzJ87UjUpvGS6tPOB6XytL435cgcbPijGkc3m/6QB8vv0Wch1/NQovCgYSzT0pdO2qDkVNv0VqeisGSfXvobaOAXHjOCFrEs+tu6D6MQI8rzr3b014re2D1LgmbxPTldQ8TmvGTTos5SzWli1ln3Onf5mKioIKioJVjcFuSCTWkECPmAGMTDqKZEsGBkW+p4vIIS1Q+6m4uJhHH30UgHHjxrUYnpxOJ05n7RxopaWlQa1PiGAxG+JJs49gvP3FgOtzYo+lyLmefVV/YlGTWV34IcXujf5WI71OGGgpPAGoGPA20z6ioBJjzKDSW9bkNk1r/NgObwEAXs3FLsefAe+l46XAtQXf22NL3y+bnyak7hZ17XD8RZFrd5Phqfk9tl5rvh4rQKwxiTJPUZ1lvhY9BQWLauPglFM5Kv1Cjsm4mN1VW1AVA8mmDCwGO6pcGCCilASoBjRN49JLL2X37t1YLBaee+65Fu/z6KOPcv/994egOiHCS1EUkq0DSbb6vlT0ip/QaBtd16n0FJBftYq9lSvw4MTlLafKW4ymOylz78KjVxFv6snYtH+yp/IvFufXBjYFgz+IGVUrB6fdxIbSmaws/ihgTc10afbvsYZZ9Q1JoipGDIoZb5Md7YPbcd2k2Ig3pTa7TeMTqAqqYsSru33rAzzxRvepHqneqJjRdA2bIZ6abv5JlgzSLD1Jt/TkoOQTqPCUkFu5kTRLNmnWwBfNGBUT2XaZB04IiKBTeG+++Sb/93//1+77z5gxgxNPPLHF7W688Uaef/55AKZNm8aVV17Z4n0CtUBlZ2fLKTwhWqnKU0q+cy1WQwKxxkx2OX7Hq7vobj+YGFMauq6zcN9zrCv+Bg+V1fdSyLQeSL5zK06tBKNixaNX+ffZsA8UwJk9/k23mBEA/Fn4MfP2voSKwd8SpKCiozE44RQ2ls/H6a0A9Dqn+epebg+6rrbYRhXoFN5ZPR6gb9zBLMr/jJ/3vtbkfWs7YSukW3pzUtZNLCn8mo3li3BrVRgVk3+/qmJCwUiGtS8DYw8mz7mV7vaB9IodTpwxRa5mFKIV5BReO02ePNkfnp599tlWhScAi8WCxSJXjAjRXlZjPD2MY/23+8YfX2+9oigcmn4Th6bf1Oi+uq7j0Z2YVCsV7n24tSpcWgWKApqm80fRdIyKmbEpVxFfZ46zA5PPI9GczS7HcsyqHY/mokorJdM2hEHxxzPGfTHLCj+mSiujp30Umu5lu2MJZjUWuyGRIvdOYozJxBrS+bPoa5xaGSbVRrwpA1U3UOEtwqs7ybANIs3Sj+2OP1FQOTT1YnrEDAVgbOrZ9IodwbrS+dgNCXS3H8Aux2osBjs59pFUaWUkmDIwqCZ/X6LT7a3vjymECJ6IaYFyOp2UlbWnH4RPQkICJpOpyfX/+te/ePLJJwF48sknmTx5crsfSzqRCyGEEJGnS7ZABbOVZ8qUKTz11FMAPPHEE/sVnoQQQgjR9UVMgAqWyZMn8/TTTwO+8DRlypQwVySEEEKIzi6qA1Td8PTUU09x6623hrkiIYQQQkSCqA1Qt912mz88PfPMM0yaNCnMFQkhhBAiUkRMJ/KOtH37dnJycgDfvFRpaWnNbj958uQ29YuSTuRCCCFE5OmSncg7Us2knjW/5+XlNbt9eXngKSSEEEIIEZ2iMkD16tWLKGx4E0IIIUQHkUmMhBBCCCHaSAKUEEIIIUQbSYASQgghhGgjCVBCCCGEEG0kAUoIIYQQoo2i8iq8YKu5wq+0tDTMlQghhBCitWo+t1tzpb4EqCAoKysDIDs7O8yVCCGEEKKtysrKSEhIaHabqByJPNg0TSM3N5e4uDgURenQfZeWlpKdnc2OHTtklPMIJK9f5JPXMPLJaxj5gvUa6rpOWVkZ3bp1Q1Wb7+UkLVBBoKoqPXr0COpjxMfHy4EfweT1i3zyGkY+eQ0jXzBew5ZanmpIJ3IhhBBCiDaSACWEEEII0UYSoCKMxWLhvvvuw2KxhLsU0Q7y+kU+eQ0jn7yGka8zvIbSiVwIIYQQoo2kBUoIIYQQoo0kQAkhhBBCtJEEKCGEEEKINpIAJYQQQgjRRhKgOiGHw8GMGTN46KGHOPvss8nJyUFRFBRFYerUqR32OHl5edx6660MHDgQm81GcnIy48aN4/XXX2/VPECiZWVlZUydOpVhw4YRGxtLQkICY8aM4emnn8blcrV7v1OnTvX/TTT3s3Hjxg58Nl1LsF4bkGMrVILxGsqxFXyh+IwLyTGoi05nzpw5OhDw57777uuQx1iyZImekpLi329sbKxuNBr9t48//ni9qqqqQx4rWm3dulXv1auX///UbrfrFovFf3vkyJF6YWFhu/Z933336YBuMpn0jIyMJn+2bNnSsU+qiwjmayPHVmgE6zWUYyv4gv0ZF6pjUFqgOqmkpCSOPfZYpkyZwgcffEBmZmaH7bukpIRTTz2VgoICBg0axOLFiykrK6OiooLnn38ek8nErFmzmDRpUoc9ZrTxer2cdtppbN26laysLH744QcqKipwOBx8+OGHxMXF8ccff3DxxRfv1+Mcdthh7Nmzp8mfXr16dcwT6kKC+drIsRUaoTi+5NgKrmB9xoX0GNzvCCY6nMfjabQsJyenw9L53XffrQO6zWbTN2/e3Gj9I488ogO6wWDQ161bt9+PF41ef/11/7edBQsWNFr//vvv+9f/+OOPbd5/zbfko446qgOqjS7BfG3k2AqNYL6GcmwFXzA/40J5DEoLVCdkMBiCuv+3334bgAsvvJDevXs3Wn/jjTcSGxuL1+vlvffeC2otXdVbb70FwPjx4zn00EMbra/7f1/zeojQCOZrI8dWaMjxFdmC+RkXymNQAlSUWbduHdu3bwfgpJNOCrhNbGws48aNA2DWrFkhq62rcDgczJ8/H2j6/1hRFE488URA/o9DKZivjRxboSHHl2hKqI9BCVBRZuXKlf7fhw4d2uR2NetWr14d9Jq6mjVr1qBpGtC6/+M9e/ZQWFjYrsdatWoVQ4cOxWazERsby8CBA7n66qv5448/2rW/ri6Yr40cW6ERquNLjq3IE+pjUAJUlMnNzfX/3r179ya3q1lXWlpKeXl50OvqStr6f9zwPm2Rn5/PmjVrsNvtOJ1O1q9fz+uvv86oUaO4++6727XPriyYr40cW6ERquNLjq3IE+pjUAJUlCkrK/P/brfbm9yu7rq69xEtC8X/cf/+/XniiSdYt24dVVVVFBQUUFFRwffff8+oUaPQdZ2HH36Yp59+uu1PoAsL5msjx1ZoBPv/WY6tyBXqY1ACVAd48803WzXwWlM/M2fODPdTiHqR9hpefPHFTJkyhQEDBmAymQAwm80cf/zxzJs3jzFjxgC+QQFLSkpCWpsQkUyOLdFaEqCiTFxcnP93h8PR5HZ119W9j2hZuP+PrVYrjzzyCADl5eXMnj27w/Yd6YL52oT7dY8W4fx/lmOrcwv134ax3fcUfhMnTuTUU09t9/0TEhI6sJrmdevWzf/7rl27iI+PD7jdrl27AIiPjyc2NjYktYVTR76GDf+Phw8fHvA+Nf/HDe/TEepe2r158+YO3XckC+ZrI8dWaIT7+JJjq/MK9TEoAaoDWCwWLBZLuMtolbpXJqxcuZLBgwcH3K7maoYhQ4aEpK5w68jXcPDgwaiqiqZprFy5ssnLaWv+jzMzM0lOTu6QxxbNC+ZrI8dWaMjxJZoS6mNQTuFFmYEDB9KzZ0+AJvvtVFRUMHfuXACOP/74kNXWVdjtdg4//HCg6f9jXdf5/vvvgeD8Hy9cuND/e6DB5KJVMF8bObZCI9zHlxxbnVeoj0EJUFHosssuA+DDDz9k69atjda/8MILlJeXYzAY9nuutmh1+eWXAzBnzhx+//33Rus//vhjf/N/zevRWnoLM4k7nU7uuusuAGJiYjj22GPbtP+uLpivjRxboRGs11COrcgX0mNwvyaCEUFTWFio79u3z/+TnZ2tA/qUKVPqLS8rK2t035q5nICAM4YXFxfrmZmZOqAPGTJEX7Jkia7ruu50OvUXX3xRN5vNOqD//e9/D/bT7LLcbrc+bNgwHdC7d+/un4/L6/XqH330kR4fH68D+kknnRTw/s29hj///LN+7LHH6u+8846+Y8cO/3KXy6X/+OOP+pgxY/z3ffzxx4P2HCPV/rw2cmx1DsF6DeXYCp32fsZ1pmNQAlQnVTOxYks/l19+eaP7tvQHpuu6vmTJEj0lJcW/XVxcnG4ymfy3jz/+eL2qqiq4T7KL27Jli96rVy///6ndbtetVqv/9siRI/XCwsKA923uNZwzZ069vwGbzaanpqbWe/1UVdXvvPPOEDzLyNTe10aOrc4jGK+hHFuh097PuM50DMopvCg1atQoVq1axaRJk+jfvz9ut5uYmBiOOOIIXnvtNWbMmBExHeM7q169evHXX39x7733MnToUBRFwWQyMWrUKJ566ikWLlxIUlJSm/c7bNgwnnrqKc455xwGDBiAzWajuLgYm83GiBEjuOGGG/jzzz95+OGHg/CsuoZgvTYgx1aoBOM1lGOrawjVMajoegsnfYUQQgghRD3SAiWEEEII0UYSoIQQQggh2kgClBBCCCFEG0mAEkIIIYRoIwlQQgghhBBtJAFKCCGEEKKNJEAJIYQQQrSRBCghhBBCiDaSACWEEEII0UYSoIQQQggh2kgClBCiy7niiitQFIUrrrii0bqjjz4aRVGYOnVqyOsSQnQdEqCEEKKT0XWdadOmMW7cOJKTk7Hb7QwYMIBbbrmFvLy8cJcnhEAClBAiyvTs2ZOBAweSmpoa7lICcjqdnHTSSfztb39j3rx5lJWVYTAY2LBhA88++ywHHHAAS5cuDXeZQkQ9CVBCiKjy9ttvs3btWm644YZwlxLQpEmT+P777zGZTDz//PNUVFRQVlbG4sWLGTRoEAUFBZx66qmUlpaGu1QhopoEKCGE6CTWr1/Pq6++CsADDzzAP/7xD8xmMwCjR4/m22+/xWazsWfPHp588slwlipE1JMAJYSISO+99x6HH344cXFxJCQkcPDBB/Pqq6+i63qz92uuE3mvXr1QFIU333wTh8PB1KlTGTx4MHa7nW7dunHppZeyZcsW//b5+fncdtttDBgwAJvNRmZmJn/729/a3U/p3Xffxev1Ehsby4033thofZ8+fbjgggsAeOedd9r1GEKIjmEMdwFCCNEWuq5z1VVX8cYbbwCgKAqJiYksWbKERYsWMWfOHCwWy349RklJCYceeih//fUXVqsVRVHYvXs37777LrNnz2bBggVomsZxxx3Hli1bsNvtaJpGXl4e06ZN49dff2XJkiXEx8e36XF/+OEHAI488khiYmICbnPSSSfx5ptvsm3bNtatW8fAgQP367kKIdpHWqCEEBHlueee84enG264gb1791JYWEhhYSFTp05l+vTpfPnll/v1GFOnTqW0tJRZs2b5+yDNmjWL1NRUdu/ezW233cbEiRNJSEjgt99+o6KigvLycqZPn47dbmfDhg088cQTbX7cVatWATB06NAmt6m7rmZ7IUToSYASQkSMqqoq7r//fgAuvfRSnnvuOf/VdAkJCdx3333cdtttFBcX79fjOJ1OfvjhByZMmICqqhgMBiZMmMDjjz8OwEcffcS2bdv48ccfOeSQQwAwmUycf/753HrrrQB8+OGHbXrMsrIyysrKAOjevXuT29Vdl5ub26bHEEJ0HAlQQoiIMWvWLAoLCwG49957A25z++23Y7Va9+txzjnnHPr169do+QknnOD//ZprriElJaXJbTZt2kRFRUWrH7MmPAHY7fYmt6u7ru59hBChJQFKCBExlixZAkB2dnbAgAO+lqhRo0bt1+OMHTs24PKMjAz/72PGjGlxm/1tCQtEUZQO36cQou0kQAkhIsbevXuB5k9xAfTo0WO/HicuLi7gcqPR2KZt3G53ux7T4XA0uV3dVq2mahBCBJ8EKCFExOmKrTBxcXH+QLRr164mt6u7rlu3bkGvSwgRmAQoIUTESE9PB2Dnzp3NbtdcAOnMDjjgAABWrlzZ5DZ119VsL4QIPQlQQoiIMXr0aAB27NjBpk2bAm5TWloasXPFTZgwAYC5c+c2eRpv5syZAOTk5MgYUEKEkQQoIUTEmDBhAklJSQA8+OCDAbd54oknqKysDGVZHeaSSy7BYDBQVlbG888/32j91q1b/cMjXHrppaEuTwhRhwQoIUTEsNls3HPPPQC89dZb3HzzzRQUFAC+lqcHH3yQRx55hMTExDBW2X4DBgzgmmuuAeCee+7hpZdewuVyAbB06VJOOeUUKisryczMZPLkyeEsVYioJwFKCBFR/vnPf/pbX/7zn/+Qnp5OcnIyycnJ3HvvvVxwwQWcccYZYa6y/Z599llOOOEEXC4X119/PbGxscTHxzN69GhWr15NSkoK33zzDQkJCeEuVYioJgFKCBFRVFXl7bff5u233+aQQw7BZrPh8Xg46KCDePnll3n//ffDXeJ+sVgszJgxg9dee40jjjiCmJgY3G43/fv3Z9KkSaxatWq/x7kSQuw/RW9p6nIhhBBCCFGPtEAJIYQQQrSRBCghhBBCiDaSACWEEEII0UYSoIQQQggh2kgClBBCCCFEG0mAEkIIIYRoIwlQQgghhBBtJAFKCCGEEKKNJEAJIYQQQrSRBCghhBBCiDaSACWEEEII0UYSoIQQQggh2kgClBBCCCFEG/0/WqfBoq+YYWsAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "mu = np.mean(x, axis=0)\n",
+    "sigma = np.cov(x, rowvar=False)\n",
+    "\n",
+    "# principal component, scaled by its eigenvalueclear\n",
+    "\n",
+    "ev, u = np.linalg.eig(sigma)\n",
+    "i_pc = np.argmax(np.abs(ev)) # index of principal (maximum) eigenvalue\n",
+    "pc1 = np.real(u[:,i_pc]) # principal eigenvector\n",
+    "\n",
+    "%matplotlib inline\n",
+    "\n",
+    "d0 = 0\n",
+    "d1 = 2\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,d0], x[:,d1], marker='.', c=x_color)\n",
+    "plt.arrow(mu[d0], mu[d1], pc1[d0], pc1[d1], width=0.1, color='blue', label='pc1')\n",
+    "plt.legend()\n",
+    "plt.xlabel('dim '+str(d0))\n",
+    "plt.ylabel('dim '+str(d1))\n",
+    "\n",
+    "d0 = 1\n",
+    "d1 = 2\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,d0], x[:,d1], marker='.', c=x_color)\n",
+    "plt.arrow(mu[d0], mu[d1], pc1[d0], pc1[d1], width=0.1, color='blue', label='pc1')\n",
+    "plt.xlabel('dim '+str(d0))\n",
+    "plt.ylabel('dim '+str(d1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba5c8635",
+   "metadata": {},
+   "source": [
+    "Let's compare several methods for manifold learning."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "40768db7",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/home/INT/gilson.m/.conda/envs/courseML_phd2023/lib/python3.11/site-packages/sklearn/manifold/_mds.py:299: FutureWarning: The default value of `normalized_stress` will change to `'auto'` in version 1.4. To suppress this warning, manually set the value of `normalized_stress`.\n",
+      "  warnings.warn(\n"
+     ]
+    }
+   ],
+   "source": [
+    "n = 10 # neighborhood used to recover the locally linear structure\n",
+    "\n",
+    "lle_standard = manifold.LocallyLinearEmbedding(method=\"standard\", n_neighbors=n)\n",
+    "x_standard = lle_standard.fit_transform(x)\n",
+    "\n",
+    "lle_hessian = manifold.LocallyLinearEmbedding(method=\"hessian\", n_neighbors=n)\n",
+    "x_hessian = lle_hessian.fit_transform(x)\n",
+    "\n",
+    "mds = manifold.MDS()\n",
+    "x_mds = mds.fit_transform(x)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "3e06b202",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 700x1400 with 3 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axs = plt.subplots(\n",
+    "    nrows=3, ncols=1, figsize=(7, 14), facecolor=\"white\", constrained_layout=True\n",
+    ")\n",
+    "fig.suptitle(\"Locally Linear Embeddings\", size=16)\n",
+    "\n",
+    "red_methods = [\n",
+    "    (\"Standard locally linear embedding\", x_standard),\n",
+    "    (\"Hessian eigenmap\", x_hessian),\n",
+    "    (\"Multidimensional scaling\", x_mds),\n",
+    "]\n",
+    "for ax, method in zip(axs.flat, red_methods):\n",
+    "    name, x_transf = method\n",
+    "    ax.scatter(x_transf[:,0], x_transf[:,1], c=x_color)\n",
+    "    ax.set_title(name)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5cfd33b4",
+   "metadata": {},
+   "source": [
+    "## ISOMAP\n",
+    "       \n",
+    "ISOMAP requires convexity (in theory)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "8d4a5147",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# number of neighbors (5 to 50)\n",
+    "n = 10\n",
+    "\n",
+    "# metric: 'euclidean', 'minkowski', 'chebyshev', cosine'\n",
+    "mtrc = 'euclidean'\n",
+    "\n",
+    "isomap = manifold.Isomap(n_neighbors=n, metric=mtrc)\n",
+    "x_isomap = isomap.fit_transform(x)\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.scatter(x_isomap[:,0], x_isomap[:,1], c=x_color)\n",
+    "plt.title('{n} neighbors with {mtrc} metric'.format(n=n, mtrc=mtrc))\n",
+    "plt.xlabel('dim 0')\n",
+    "plt.ylabel('dim 1')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "a7c5d901",
+   "metadata": {},
+   "source": [
+    "## UMAP"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "b24a8374",
+   "metadata": {},
+   "outputs": [
+    {
+     "ename": "NameError",
+     "evalue": "name 'umap_learn' is not defined",
+     "output_type": "error",
+     "traceback": [
+      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
+      "\u001b[0;31mNameError\u001b[0m                                 Traceback (most recent call last)",
+      "Cell \u001b[0;32mIn[8], line 11\u001b[0m\n\u001b[1;32m      7\u001b[0m \u001b[38;5;66;03m# minimum distance (from 0.0 to 1.0)\u001b[39;00m\n\u001b[1;32m      8\u001b[0m md \u001b[38;5;241m=\u001b[39m \u001b[38;5;241m0.0\u001b[39m\n\u001b[0;32m---> 11\u001b[0m umap \u001b[38;5;241m=\u001b[39m \u001b[43mumap_learn\u001b[49m\u001b[38;5;241m.\u001b[39mUMAP(n_neighbors\u001b[38;5;241m=\u001b[39mn, metric\u001b[38;5;241m=\u001b[39mmtrc, min_dist\u001b[38;5;241m=\u001b[39mmd)\n\u001b[1;32m     12\u001b[0m x_umap \u001b[38;5;241m=\u001b[39m umap\u001b[38;5;241m.\u001b[39mfit_transform(x)\n\u001b[1;32m     14\u001b[0m plt\u001b[38;5;241m.\u001b[39mfigure()\n",
+      "\u001b[0;31mNameError\u001b[0m: name 'umap_learn' is not defined"
+     ]
+    }
+   ],
+   "source": [
+    "# number of neighbors\n",
+    "n = 10\n",
+    "\n",
+    "# metric: 'euclidean', 'minkowski', 'chebyshev', cosine'\n",
+    "mtrc = 'euclidean'\n",
+    "\n",
+    "# minimum distance (from 0.0 to 1.0)\n",
+    "md = 0.0\n",
+    "\n",
+    "\n",
+    "umap = umap_learn.UMAP(n_neighbors=n, metric=mtrc, min_dist=md)\n",
+    "x_umap = umap.fit_transform(x)\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.scatter(x_umap[:,0], x_umap[:,1], c=x_color)\n",
+    "plt.xlabel('dim 0')\n",
+    "plt.ylabel('dim 1')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "313c4c0d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "umap = umap_learn.UMAP(n_neighbors=n, metric=mtrc, min_dist=md)\n",
+    "x_umap = umap.fit_transform(x)\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.scatter(x_umap[:,0], x_umap[:,1], c=x_color)\n",
+    "plt.xlabel('dim 0')\n",
+    "plt.ylabel('dim 1')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "ba5020ac",
+   "metadata": {},
+   "source": [
+    "Reproducibility is an issue here, as the algorithm is stochastic!"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9d1176a4",
+   "metadata": {},
+   "source": [
+    "## T-distributed stochastic neighbor embedding (tSNE)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "bba9ad02",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# metric: 'euclidean', 'minkowski'\n",
+    "mtrc = 'euclidean'\n",
+    "\n",
+    "tsne = manifold.TSNE(metric=mtrc)\n",
+    "x_tsne = tsne.fit_transform(x)\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.scatter(x_tsne[:,0], x_tsne[:,1], c=x_color)\n",
+    "plt.title('{mtrc} metric'.format(mtrc=mtrc))\n",
+    "plt.xlabel('dim 0')\n",
+    "plt.ylabel('dim 1')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c7f2ed9b",
+   "metadata": {},
+   "source": [
+    "## Take-home messages\n",
+    "\n",
+    "- Different techniques are better suited for continuous manifolds (ISOMAP), while other tend to overseparate data into small clusters (tSNE).\n",
+    "- Parameterization is crucial for many of them.\n",
+    "- Many methods involve a stochastic optimization, meaning a (slightly) different result at each use; so check that your interpretation is robust to that variability!!!\n",
+    "\n",
+    "Check for advice for good practice, if you want to apply it beyond visualization:\n",
+    "- https://scikit-learn.org/stable/modules/manifold.html#multidimensional-scaling\n",
+    "- https://distill.pub/2016/misread-tsne/"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e37b0e6",
+   "metadata": {},
+   "source": [
+    "## Exercices\n",
+    "\n",
+    "- check the synthetic datasets from scikit-learn (https://scikit-learn.org/stable/auto_examples/manifold/plot_swissroll.html#sphx-glr-auto-examples-manifold-plot-swissroll-py), as well as the digit dataset: https://scikit-learn.org/stable/auto_examples/datasets/plot_digits_last_image.html#\n",
+    "- check fMRI dataset and spike train dataset"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "7ba77109",
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "# load digits\n",
+    "digits = datasets.load_digits()\n",
+    "x = digits.images\n",
+    "#x_label = digits.labels\n",
+    "\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.imshow(x[0])\n",
+    "plt.colorbar()\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/unsup_lrn/pca_more.ipynb b/unsup_lrn/pca_more.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..79b1c0c6dc5de9a5d0fec6b66fc9b5677b8c22ef
--- /dev/null
+++ b/unsup_lrn/pca_more.ipynb
@@ -0,0 +1,726 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "1668ce31",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import scipy.stats as stt\n",
+    "\n",
+    "import matplotlib as mpl\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sb\n",
+    "\n",
+    "font = {'family' : 'DejaVu Sans',\n",
+    "        'weight' : 'regular',\n",
+    "        'size'   : 18}\n",
+    "mpl.rc('font', **font)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "248a9c26",
+   "metadata": {},
+   "source": [
+    "Principal component analysis is useful to analyze samples that are distributed in a multidimensional space. Let's start with an example with 2 variables that are linearly related (e.g. speed and accuracy)."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8960017d",
+   "metadata": {},
+   "source": [
+    "## Random variable with dependence upon another random variable\n",
+    "\n",
+    "Let's start with an example with two measurements, speed and accuracy, where accuracy depends on speed."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "666b5b89",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# number of samples\n",
+    "n = 100\n",
+    "\n",
+    "# speed is normally distributed (Gaussian) around a mean with a given standard deviation\n",
+    "mean_speed = 1.0\n",
+    "std_speed = 0.3\n",
+    "speed = mean_speed + np.random.randn(n) * std_speed\n",
+    "\n",
+    "# accuracy is negatively affected by the speed and other factors that are assimilated to noise\n",
+    "alpha = -0.2 # linear dependence with respect to speed\n",
+    "std_other = 0.1\n",
+    "accuracy = 0.7 + alpha * speed + np.random.randn(n) * std_other"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "390cef6a",
+   "metadata": {},
+   "source": [
+    "Let visualize the data in their original 2-dimension plane."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "1fc490b3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(speed, accuracy, marker='.', color='b', label='samples')\n",
+    "plt.scatter(np.mean(speed), np.mean(accuracy), marker='x', color='r', label='average')\n",
+    "plt.legend(loc='lower left', fontsize=12)\n",
+    "plt.xlabel('speed')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.axis(ymin=0.0, ymax=1.0)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "7f051bdb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "covariance matrix:\n",
+      " [[ 0.09687613 -0.02413868]\n",
+      " [-0.02413868  0.01492198]]\n",
+      "variance of speed: 0.09\n",
+      "variance of accuracy: 0.013600000000000001\n",
+      "cross-covariance: -0.018\n"
+     ]
+    }
+   ],
+   "source": [
+    "# make a 2D array from speed and accuracy, in the shape (sample, feature)\n",
+    "x = np.vstack((speed, accuracy)).T\n",
+    "#print(x.shape)\n",
+    "\n",
+    "# covariance of samples\n",
+    "sigma = np.cov(x, rowvar=False)\n",
+    "print('covariance matrix:\\n', sigma)\n",
+    "\n",
+    "print('variance of speed:', std_speed**2)\n",
+    "print('variance of accuracy:', (alpha*std_speed)**2 + std_other**2)\n",
+    "print('cross-covariance:', alpha*std_speed**2)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "00a8285a",
+   "metadata": {},
+   "source": [
+    "The variance of speed $S$ is indeed $\\mathrm{var}(S) = \\mathrm{var}(0.3 \\zeta) = 0.3^2 = 0.9$ with $\\zeta$ a Gaussian random variable (representing the noise). Remember that the variance is the mathematical expectation of the squarred deviation from the mean: $\\mathrm{var}(S) = \\mathrm{E}[ (S - \\mathrm{E}[S])^2 ] = \\mathrm{E}[ \\delta S^2 ]$, with $\\delta S = S - \\mathrm{E}[S]$.\n",
+    "\n",
+    "The variance of accuracy $A$ is the sum of two sources of independent variability: $\\mathrm{var}(A) = \\mathrm{var}(-0.2 S) + \\mathrm{var}(0.1 \\zeta') = (0.2*0.3)^2 + 0.1^2 = 0.0136$ with $\\zeta$ a Gaussian random variable (representing the noise).\n",
+    "\n",
+    "The cross-covariance is the mathematical expectation of the product of the deviations of the 2 variables $\\mathrm{E}[\\delta S \\delta A] = \\mathrm{E}[\\delta S (-0.2 \\delta S)] + \\mathrm{E}[\\delta S (0.1 \\delta \\zeta')] = -0.2 \\mathrm{var}(S)$. Again, the independence between $S$ and $\\zeta'$ has been used. "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "f3361cce",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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cXBwGDx4MtVqNjz/+WKHeUVVM4CciImqEvvzyS/j4+GDQoEHmuylvuOEGjBw5En5+fnjxxRfx2muv4cqVK3jggQeg0Whw9OhRXLx4Ea+88goAoKSkBN9++y0AYO/evQCAH374ARcvXkRwcDCGDh2q2OtrTBiMERER/aV5c3kqIqWr8AcEyH2xx5dffonk5GR8/PHHkCQJI0aMwLvvvgs/Pz8AwKuvvorY2Fi8//77SEhIgI+PD2JjY/H000+b2zh//jzuv//+au0mJycDALRaLXQ6nX2dJAAMxoiIiMzatJHnhFR6KiJHTBTepk0brF+/vs5txowZgzFjxlhcHx0dDSGEfR2hejEYIyIiqqJNG+Un6CbvwgR+IiIiIgUxGCMiImpEkpOTIYRAc3uTzshlGIwRERERKYjBGBEREZGCGIwREZFX4l2C3s2dzj+DMSIi8iq+vr4A5IKm5L2Ki4shSZL5/aAklrYgIiKvolar0aRJE5w/fx4AEBQUBEmSFO4VuYIQApWVlSgoKEBBQQGaNGkCtVqtdLcYjBERkfeJiIgAAHNARt5FrVajZcuW0Gg0SncFAIMxIiLyQpIkoWXLlrjmmmtQUVGhdHfIhXx8fKBWq91qNJTBGBEReS21Wu0Wl6nIuzGBn4iIiEhBDMaIiIiIFMRgzIPl5OQgPT0dOTk5SneFiIiIGsjjgrHCwkIkJyeja9euCAkJgUajQc+ePbFgwQKUl5fb1fbnn3+OESNGoFWrVvDz80NwcDA6duyIcePG4ZdffnHMC3CQtLQ0aLVa9O/fH1qtFmlpaUp3iYiIiBpAEu5UgrYeWVlZiIuLg06nAyDXhjEYDCgrKwMAdOvWDdu3b0fTpk1taresrAz3338/NmzYYF4WEhKC8vJyc4CnUqkwf/58TJ482aa2CwoKoNFooNfrERYWZtO+luTk5ECr1cJoNJqXqdVq6HQ6REVFOeQYRERE3swZ39+WeMzImMFgwIgRI6DT6dCyZUts3boVxcXFKCkpwerVqxEaGopDhw4hISHB5rbffPNNcyD25JNPIicnB4WFhbhy5Qr279+P2267DUajEVOmTMH+/fsd/dJslpGRUS0QA+Tfz8mTJxXqERERETWUxwRjn332GX777TcAwBdffIGBAwcCkEesRo0ahcWLFwMAvvvuO2zfvt2mtpctWwYAuP322/Hhhx8iMjLS3Hb37t2xceNGhISEQAiBL774wlEvqcFiY2OhUlU/dWq1GjExMQr1iIiIiBrKY4KxpUuXAgD69euH3r1711g/evRotG3bFsDfwZW1/vjjDwBAjx49al2v0WjQoUMHAEBRUZFNbTtDVFQUlixZYq6No1arsXjxYl6iJCIi8kAeEYyVlJRg9+7dAIChQ4fWuo0kSRgyZAgAYMuWLTa1365dOwDAgQMHal2v1+tx4sQJAJYDNldLSkqCTqdDeno6dDodkpKSlO4SERERNYBHBGPHjh0z50h16dLF4namdXl5ecjPz7e6/SeeeAIAsGPHDkycOBG5ubkA5AlFDx48iOHDh6OoqAi33HJLg3LSnCUqKgpxcXEcESMiIvJgHhGMnT171vzclM9Vm6rrqu5Tn4kTJ+L555+HSqXCRx99hKioKISGhiIgIADdu3fHyZMnMX36dHz//ffw8al7BqmysjLzbPCmBxEREZElHhGMFRYWmp8HBQVZ3K7quqr71EelUmHOnDn45JNPEBISAkDODTOVtSgtLYVer0dxcXG9bc2ZMwcajcb8aN26tdX9ICIiIu/jEcGYs128eBEDBgzAww8/jN69e2PXrl24fPky/vjjD3z55Zdo0aIFPv74Y/Tq1ct8CdOSGTNmQK/Xmx/Z2dkuehVERETkieq+5uYmQkNDzc9LSkosbld1XdV96pOYmIgdO3bg9ttvx+bNmyFJEgD5Lsp77rkHffr0wfXXX4/Tp09j+vTp+M9//mOxLX9/f/j7+1t9bCIiIvJuHjEy1qpVK/Pzukamqq6ruk9djh07hm+//RYAMGXKFHMgVtU111yDsWPHAgC+/PJLeNCkBUREROTmPCIYu+6668xFTn///XeL25nWRUREIDw83Kq2jx49an7evn17i9vFxsYCkEffzp8/b1XbRERERPXxiGAsKCgIffr0AQBs2rSp1m2EENi8eTMAYPDgwVa3XbWSfVZWlsXtzp07Z35uSvInIiIispdHBGOAnNcFAOnp6fjpp59qrF+3bh1Onz4NAOZLita46aabzM8//vjjWrcpLi42V/X/xz/+geDgYKvbJyIiIqqLRwVjXbt2hRAC9913n3n+SaPRiHXr1mHcuHEA5Ar9AwYMqLZvcnIyJEmCJEnQ6XTV1mm1WowYMQIAsGHDBowZMwanTp2CEAIVFRXYs2cP4uLizIHelClTnPxKiYiIyJt4xN2UAODj44P169ejX79+0Ol0GDhwIIKCgmA0GlFaWgoA6NatG1asWGFz25988gmGDBmCAwcOYPny5Vi+fDmCgoJQXl6OyspK83ZTp061adSNiIiIqD4eMzIGANHR0Th8+DBefvlldOnSBZIkwdfXF927d8f8+fOxd+9eNG3a1OZ2mzdvjr179yI1NRXx8fG49tprUVFRAR8fH7Rr1w4PPfQQdu7ciXnz5jnhVREREZE3kwTrNDhVQUEBNBoN9Ho9wsLClO4OERERWcGV398eNTJGRERE1NgwGCMiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIiIgUxGCMiu+Xk5CA9PR05OTlKd4WIyOMwGCMiu6SlpUGr1aJ///7QarVIS0tTuktERB5FEkIIpTvRmLly1nciV8vJyYFWq4XRaDQvU6vV0Ol0iIqKUrBnRET2ceX3N0fGyCvwMppzZGRkVAvEAMBgMODkyZMK9YiIyPMwGKNGj5fRnCc2NhYqVfU/I2q1GjExMQr1iIjI8zAYo0YtJycH48ePN4/eGI1GTJgwgSNkDhIVFYUlS5ZArVYDkAOxxYsX8xIlEZENfJTuAJEz1XUZjQGDYyQlJSE+Ph4nT55ETEwMf69ERDZiMEaNmuky2tUJ5ryM5lhRUVEMwoiIGoiXKalR42U0IiJydyxt4WQsbeEecnJyeBmNiIis5srvb16mJK/Ay2hEROSueJmSiIiISEEMxshhWFiViIjIdgzGyCFYWJWIiKhhmMDvZN6QwM/5CT1DTk4OMjIyEBsby/NCRFQPzk1JHsXV8xPycqjtOHJJROS+GIyR3Vw5PyGDCttxSigiIvfGYIzs5qrCqgwqGsbVI5dERGQb1hkjh3DF/IScZ7JhOCUUEZF748gYOUxUVBTi4uKcFhi58nJobTw1V83bpoTy1PNERN6LwRh5DCWDCk/PVUtKSoJOp0N6ejp0Oh2SkpKU7pJTePp5IiLvxNIWTuYNpS1czdXzTLJ0h2fgeSIiR+LclER1cPU8k8xV8ww8T0TkqXiZkqgeSueqkXV4nojIUzEYI7rK1Qng3pYA76l4nojIUzFnzMmYM+ZZ0tLSzLXMVCoVlixZYk52d3WuGjUMzxMROYIrv78ZjDkZgzHPwQRwIiIy4dyURApgpXoiIlICgzGivzABnIiIlMBgjOgvTAAnIiIlMGfMyZgz5nmYAE5ERCz6SqQgVxeVJSIi78bLlEREREQKYjBGRA5zdcFcIiKqH4MxInKItLQ0aLVa9O/fH1qtFmlpaUp3iYjIIzCB38mYwE/egAVziaixYdFXIvIoLJhLRNRwdgdjMTExmDt3Ls6fP++I/hCRB2LBXCKihrM7GDt9+jRefPFFtG7dGiNHjsS2bdsc0S8i8iC1Fcx96623kJGRwWR+IqJ62J0zNmvWLHz22WfIzc2VG5QktG3bFuPHj8fDDz+Ma665xiEd9VTumjOWk5ODjIwMxMbGMqeHHMZUMHffvn2YPn06jEYjVCoVlixZgqSkJKW7R0RkNVd+fzskgd9oNOLbb7/F4sWLsWnTJhgMBkiSBB8fH9x9990YN24cBg4c6Ij+ehx3DMbS0tIwfvx4flGSUzCZn4gaA48Lxqo6e/Ys0tLS8MknnyArK0s+iBePlrlbMMYvSnK29PR09O/fv9blcXFxru8QEVEDePTdlK1atcKsWbNw+vRpfPfdd7jnnnvg4+OD06dPY8aMGWjdujVGjRrF3DKF8K43cjYm8xMR2cZppS0kSUJ8fDy++OILZGZm4p///CeEEKioqMDnn3+O+Ph4dOzYEUuWLIHBYHBWN+gq/KIkZ6stmX/x4sUceSUissCpdcbOnDmD2bNno1evXti5cycAOUi78cYboVarkZGRgSeeeAK33HILLly4YFWbhYWFSE5ORteuXRESEgKNRoOePXtiwYIFKC8vt7vPeXl5mDVrFrp3747w8HAEBgZCq9ViyJAheOutt1BRUWH3MZTEL0pyhaSkJOh0OqSnp0On0zEnkYioDg7PGTMYDNiwYQOWLFmCrVu3wmg0QgiBZs2a4eGHH8bjjz+O9u3b49y5c/j444/x9ttvo7i4GI888ghSU1PrbDsrKwtxcXHQ6XQAgKCgIBgMBpSVlQEAunXrhu3bt6Np06YN6vuaNWswfvx4FBQUAAD8/PwQGBgIvV5v3ubPP/9EkyZNrG7T3XLGTEx3vcXExDAQo0aHdwsTkb1c+v0tHCQzM1O8+OKLomXLlkKlUglJkoQkSaJPnz5i+fLloqysrNb99u3bJyRJEq1ataqz/crKStG1a1cBQLRs2VJs3bpVCCGEwWAQq1evFqGhoQKAGDp0aIP6v3btWqFSqQQAMWrUKHHo0CHzusLCQrFz504xefJkUVRUZFO7er1eABB6vb5B/SIi26Smppo/yyqVSqSmpirdJSLyQK78/rY7GFu3bp0YNGiQUKvV5iBMo9GIJ598Uvz2229WtWEK4OqSmpoqAAgAYs+ePTXWr1y50rx+27ZtNr2Gs2fPiqZNmwoAYvLkyTbtWx8GY0Suk52dbQ7ETA+1Wi2ys7OV7hoReRhXfn/bnTNmqrpvNBpx4403YvHixcjNzcWHH36ILl26WNWGn59fvdssXboUANCvXz/07t27xvrRo0ejbdu2AIBly5bZ8AqAhQsX4s8//0RUVBTeeustm/YlIvfBu4WJyBPZHYwFBAQgMTERe/fuxYEDBzBu3DgEBwfb1IZOp6vzjsqSkhLs3r0bADB06NBat5EkCUOGDAEAbNmyxabjm4K3hx56yKrAkIjcE+8WJiJPZHcwdvbsWXz66ae4+eabHdGfWh07dsz8v926RttM6/Ly8pCfn29V25mZmTh79iwA4Pbbb8ehQ4cwatQoREREwN/fH61bt8bo0aPx448/2vkqiBqfnJwcpKenu838k7xbmIg8kd3BmC13FjaUKVgCgMjISIvbVV1XdZ+6nDhxwvz8559/Rq9evbB27Vro9XoEBgYiJycHa9asQZ8+fTBnzpx62ysrK0NBQUG1B3k3dwtYHCUtLQ1arRb9+/eHVqtFWlqa0l0CwLIaROR57A7Gzp8/j4ULF2LVqlX1brtixQosXLgQFy9etOkYhYWF5udBQUEWt6u6ruo+dfnzzz/Nz1955RVce+212LRpE4qLi3H58mUcO3YMAwYMgBACL774Ir7++us625szZw40Go350bp1a6v6QY2TuwYs9srJyTHPbwrI89NOmDDBbQLOqKgoxMXFcUSMiDyC3cHY8uXLMXnyZKsSZH/99VdMnjwZK1eutPewDlM12ddoNGLdunWIj48355106tQJ33zzDVq1agUASE5OrrO9GTNmQK/Xmx/Z2dlO6zu5N3cPWOzBRHkiIsexOxhbv349AOC+++6rd9sxY8ZACIFvvvnGpmOEhoaan5eUlFjcruq6qvtY2/Ztt92GW265pcY2wcHBePLJJwHIAeW5c+cstufv74+wsLBqD/JOjgxY3O1SJxPliYgcx+5g7NSpU5AkCbGxsfVu27FjR0iShFOnTtl0DNOoFADk5uZa3K7quqr71KVqntl1111ncbuq67Kysqxqm7ybowIWd7zUyUR5IiLHsTsYu3DhApo0aQJfX996t/Xz80OTJk3qHFmqzXXXXWf+Uvv9998tbmdaFxERgfDwcKva7ty5s/kLRZIki9uJKrNG1bUdkYkjAhZ3vtTJRHkiIsewOxgLDQ2FXq9HaWlpvduWlpaioKCgziT82gQFBaFPnz4AgE2bNtW6jRACmzdvBgAMHjzY6rYDAgLwz3/+EwBw9OhRi9sdO3YMgByIRUdHW90+eTd7AxZ3z81iojwRkf3sDsauv/56GI1GbNy4sd5tN2zYAIPBgE6dOtl8nMTERABAeno6fvrppxrr161bh9OnTwMAxo4da1PbjzzyCABg165dtdYTKykpwccffwwA6NWrF1q0aGFT++Td7AlYmJvVMO6WY0dEVBe7g7E777wTQghMnTq1ztpeubm5mDp1KiRJwt13323zcRITE9G1a1cIIXDfffdh+/btAP6+A3LcuHEA5Ar9AwYMqLZvcnIyJEmCJEnQ6XQ12k5ISDAXrR01ahQ2b95sHo343//+hzvvvBNnz56FSqXCG2+8YXPfiRrKkblZ3hKguGOOHRFRneyd3LK4uFi0bt1aqFQq0aJFC/H222+LEydOiLKyMlFWViZOnDghFixYIFq0aCEkSRKtW7cWRUVFDTpWZmamiI6ONk8AHBQUJAICAsw/d+vWTeTn59fYb/bs2eZtMjMza237jz/+EJ07dzZvFxgYKDQajflnX19fsWTJEpv7zInCyRGys7NFenp6gye8Tk1NNU+grVKpRGpqqoN76B44UTgROYpHTRQeFBSEr7/+Gs2aNcPFixcxdepUdOrUCYGBgQgMDESnTp0wbdo0XLx4Ec2bN8f69ettnrvSJDo6GocPH8bLL7+MLl26QJIk+Pr6onv37pg/fz727t2Lpk2bNqjtiIgIHDx4EPPnz0fPnj3h5+eHK1euIDo6Go8++igOHjxoHn0jcrWqlzptHeFy55sAHE3JHDtvGXkkIidwVFSXnZ0tHnroIeHn5yckSar28Pf3F4mJiSInJ8dRh/MYHBkjR2rICNf3339fbaTI9EhPT3dqX7Ozs8X333/v0lEppUbGvGXkkcibuPL7WxKiSs0GBygpKcH+/fuRl5cHAGjZsiV69OiBwMBARx7GYxQUFECj0UCv17MALNklJycHWq222siPWq2GTqerM4esofvZIy0tzTwap1KpsGTJEpeVvkhLS8OECRNgMBjMOXbOPLYSv18icj5Xfn/7OLrBoKAgc6kIInKcui7B1fWlb7oJ4OoAxVmBgqXLovHx8S4JTpKSkhAfH4+TJ08iJibGqmPm5OQgIyMDsbGxNvexoeeFiMjE4cEYETmHqczF1SMw1pS5aEiA0lDuEJxERUVZfSx7R/HsOS9ERIADSlsQkWvYW+aitnpnzkg696TaaI64uYFTQxGRvRwWjP36668YP348OnfujLCwMKjVaosPHx8OyBHVp7ZAyZFTEDmrHpcnBSeOuvuSU0MRkT0cksD/wQcf4LnnnoPBYIA1zUmSBIPBYO9hPQIT+Kk+pnylkJAQFBUVITY2Fps3b3ZqArwrks5zcnJcclnUHky+JyJLPCqB/6effsIzzzwDAHjyySdxxx13YNiwYQgPD8fatWuRl5eHbdu2YeXKlQgLC8PChQvRsmVLuztO1BhUzVcyUalUEEKY/2PjjAR4V+R12ZK3pRRX39xARFQbu0fGEhISsGrVKjz77LN4++23AchfJhEREdWmR/rll18QHx+PsLAwHDx4EKGhofb13ENwZIwsqW1Upi7p6emIi4urtR1b7wTkiFB1njCKR0Su5crvb7tzxnbv3g1JksyjYyZXx3g33ngj3n//fZw6dQrz5s2z97BEHq+20SlLLCXANzTvy5Pyupzh6nw8eyZzJyKyl90jY4GBgZAkCSUlJeZlPj4+CA0NxZ9//llt24qKCoSEhCA2Nha///67PYf1GBwZI0vqGhkz3Y1oNBotFi51xOiWN44IKVmQlog8h0eNjAUFBcHX17fastDQUBQUFKCsrKzacl9fXwQFBSErK8vewxJ5vKtHp0zUajWWLFmCrKysOu/Oc8SdgA0dEfLUeRitLWXhqa+PiDyT3cFYZGQkioqKUFBQYF7Wvn17AMC+ffuqbXv27Fno9Xqr7rgk8gZVSyL8/PPP1YKv+gIlpep5ObIkRk4O8P77QH6+6WfnBkHWBLD1vT4GakTkcPZObpmQkCBUKpX4+eefzcumTJkiJEkSgwYNEleuXBFCCFFWVibuu+8+IUmSuOWWW+w9rMfgROHkTKmpqUKtVpsnxHb2BNWOnoh79GghACGCg4UYMeKAkKQmTp1su77+17eeE4ITeQ9Xfn/bPTI2fPhwCCGwZs0a87KJEyfC398f27dvR1RUFPr06YPIyEh89dVXkCQJTz31lL2HJSK4vtioo4qkmhw9Kv9bXAxs2HADhMgC8CKMxiCbK+Fbo74bF+p6fY6o1k9EVBu7g7Fhw4Zh9uzZiI2NNS9r27YtVq5cidDQUOTn5+PHH3/EpUuXIEkSnn/+eSQkJNh7WCL6iyvvBHTkpVEhgFOnqrUEIAzAqwDOwGCYjN9/P21Hb2tXVwBb1+uzJhDlJUwiagiHVOC3JD8/H99++y2ys7Oh0WgwePBgt5yfzpl4NyU1NmlpaTWKpDZkRO7cOSAioq4tjGjaVGD2bDUmTAACAhrcZZtYen313b1a212a8fHxNteAIyL34Mrvb6cGY8RgzNEaUuCUHM8RJTF27QL69q1/O0kCWrQAZs8GkpIAf/8GHc4mll6fLYGaJEmQJIklNIg8lEcFY23btoVKpcLmzZu9btTLGgzGHIf1oTyDtQHzp58Cjz5qW9utWgGvvAIkJgJXVdRxmdoCtfT0dPTv37/O/bx5hgMiT+RRdcb++OMPXLhwgYEYORWTpz2DLWUvTpywPaD64w9g3DggJgZYuhSorLSzww1QW45ebblmV7PnRgciatzsDsZatWrFumHkdI6+i68hvD05u77XX1fAXNu+J04ABoNtfTD9qcnOBh5+GOjYEVi1yvZ2HO3quzRVKhUkSaq2jbNqwHn7+5KoMbA7GBs4cCBKSkpw6NAhR/SHqFZKFTg1cWShU09w9Rd81dffpk0bTJs2rcaXv6WA+b333qv1d3fsGGDl1Jw1mIKyzEyBBx8EOnSowOefN7w9a9UV+FS9SzMrKwv//ve/nT73p7e9L4kaLXsLlZ06dUqEhoaKW2+9VRQXF9vbXKPDoq+O4+oCpyaOLnTq7q4ubJqSklLj9aOWoqe1/Z5UKpWQJKnG7y4rK1sEBMgFXx3zqBSAENdfL8Q33whhNDr/92LN+y87O1ukp6c75b3ibe9LIldz5fe33Qn8Z86cwe7duzFhwgQ0b94ckyZNwq233oprrrmmxpx7VbVp08aew3oMJvA7lhITW1tKzk5PT0dcXJxL+uAqtd0VqFKpap3MHKiZlF71Jou6rF27ByNH9nZcx819FTAaJXTrBrz5JhAfL9+NaS9HTMruaN70viRSgiu/v33sbaBt27bm58XFxZg6dWq9+0iShEolMm/J40VFRbn8y890ifTqL+LGeNNKbZcaTXev1hZgmfL2TOckPj6+3hxStVoNIZzzuzMa5cjr8GFg6FDg5pvloKx/f/uCsrpyFp3xfrTmjlRvel8SNXZ254wJIWx+1Pe/ZiJ3Ut8UOo2Jpdy8uXPn1nq34NVf/hkZGfUGY5MnT8blyy0c02ELTAn9Bw4AAwcC//wnsHNnw9tzZc6itXlg3vS+JGrs7L5MmZWV1aD9tFqtPYf1GLxM2XiYLpEGBwejqKio0Raerauw6XvvvYd33nnHYvX92i7nVaVSqZCVlYX33ovCe+8BFRWueU1qtRyg9esnj5TdcovtbThq5oG6NORyqBKX7om8gUcVfaW6MRhrXLyl8GxdX/D1fflXDVpUKpV5RLxqAHPnncDGjX/fFekqpqAsPh544w2ge3fb9nd24MM8MCL3wWCsEWEw1ni4YxK3u6oatACoEcDExFw9Sbhr+fjIBWNHjABefx34xz+U60tVfI8RuQ+PqsBP5C1cWXjW0wt5Vq1Sf3XFeoMBaGB2g8OY7h/67jvghhuAf/0LOHpU2T4BzAMj8lZ2j4wtW7asQfuNHTvWnsN6DI6MNR6uGrVo7JdCdTqgyk3YbsHHRw4SR48GkpOBDh2U7Q/zwIiU51GXKWub9qPeg3pRaQsGY42Ls5O4veEy1ZYtcs6WO/Lxkav4jxkDvPwy0K6d0j0iIqV4VJ2xNm3a1BmM6fV6XL58GQAQHByM5s2b23tIIsUkJSUhPj7eaaMWrq5nZQ9ramHVJiNDrvnljtmqpv8jLl8uPx55BJg1C/CSGtVEpBC7c8Z0Oh0yMzMtPvLz83H8+HGMGTMGBoMBc+fORWZmpiP6TqSIq3OgHKm2elYqlQrnz593q/wxe+ZEzMiQR6DcmcEgPz79FGjfHpg4ETh7VuleEVFj5ZIE/tjYWCxduhQPPvggxo4di19++cUVhyXyOFcncEuSBCEERo0a5TYTQefk5FSb8shoNGLChAlWB4vHj7uuvpi9DAZ5tGzxYjnPbfJk4Nw5pXtFRI2NS++mTE5ORnl5OebMmePKwxJ5lKSkJOh0Oqxdu9YcjAG2Bz3OYu9dpe5w16KtDAagvBx4/30gOhp4/nng4kWle0VEjYVLg7GoqCg0adIEP/zwgysPS+RxoqKi0Lx5c5eV0rCFPVMDVVQAbnS11WYGA1BaCrz9tpxHNmsW8OefSveKiDydS4Ox0tJSFBQUQK/Xu/KwRB7JlfMhWlJbvTNba2FVbUOnk+9W9HQGA3Dlijy1Ups2wKuvAgUFSveKiDyVS4OxTz/9FEajEZGRka48LJFHMgU9VQMyo9GIzZs3O+2YVQOnupL0TZdS09PTodPpLJb3uLqNDz5wXt+VYDQCRUXAK6/IQdlbb8k/ExHZwu46Y2fOnKlzfWlpKbKzs/HFF1/gk08+QUVFBZ577jnMmzfPnsN6DNYZI3vk5OSgTZs2qPoxdUTdsdrKUlxdbNY0p2RDj1tbzTRJmgxJWgCj0bbahJ5CkoAmTYCXXgKeeAIIClK6R0TUUB5VZ6ytDaW0hRC4/vrrMXPmTHsPS+QVMjIycPX/l+ytO3Z10DV37ly0adOmxh2SV7P1uLUl+gvRHiqVANA4gzEh5ByyadPkUbKXXwbGjQMCApTuGRG5M7svU5r+91zfo127dpg5cyb27t0LjUbjiL4TNXqW6o4FBwc3qL3aylJMmzYNo0aNqjUAq8rWfLXa+g50gsHQ+KfEFUK+2/KZZ+SSGIsWyXdjEhHVxu6/inUVfM3MzER2djaKioqQkZGBV199tcFfIkTe6OpkeUAOoG655ZYG1RyrbbSqLqbZNRoyYXVtif5NmtxiW4c9nBBAXp58ybJ9e+CTT/6u8u8JPH3CeiJPYXfOGNWNOWPkCPv27cMtt9xi95yVteVx1WXt2rVo0aKFXVM/mSa9joqKQYcOUW45DZIrmKaAio4GXnsNeOABoEqM7XbsmbC+oVNlEbkTV35/N/7rBUSNQFFRkUNqjtU20maJWq1G79697Z76yTR9VHm59wZiwN9zcWZlyRORd+oErFnjnqU+7JllwZ6psoi8ld3BWHl5OQ4fPoz//e9/9W77v//9D4cPH0aFp8yFQuQmHFlzrGpZipSUlGpTL5mOoVKpMGfOHIeOamRkOKwpj2YKyk6fBkaPBq6/HvjyS/eaOL2hsyzYO1UWkbeyOxhbs2YNunXrhnfffbfebd944w1069YNn3/+ub2HJfIqthZataa9uLg4TJs2zRyYnTlzBjNmzIAkSTAajZg+fbrFUY2G5BKdOOHel+VczRTrnDgB3HcfcMMNwMaN7hGUNTT4t3eqLCKvJex01113CZVKJXbt2lXvtunp6UKSJHHvvffae1iPodfrBQCh1+uV7go1AtnZ2SI9PV1kZ2c7vO2UlBQBoNpDrVbXOFZqaqpQyfUphEqlEqmpqVa1P26cED4+QsjhBh9XP1Qq+d/u3YXYvFkIo9Hhp9gmqampQq1Wm98H1pzn7Oxs83ujrvcQkSdw5fe33Qn8MTExyMzMhF6vR0hISJ3bFhYWQqPRICYmBidOnLDnsB6DCfzkCWorLmuSnp6OuLg483ZX3wBg7Y0EcXHA//2fe4z8uDO1Wp5uqXdv4I03gH79lOuL6eYLW27gSEtLw4QJE2AwGMwjuNYm/hO5E49K4D979iw0Gk29gRgAhIaGokmTJvjjjz/sPSwROVBtxWUBOXes6qUpey5DvfQS0Llz+V/tMiKzxGCQ//35Z6B/f+D224Hdu5Xpi+lyti2Xw62dKouI/mZ3MObn54crV65Yta0QAleuXDHXLiIi91B7gVZg7ty51b6ILW23f//+eo9x5kwajh4NBHAnjMYjAIBamqK/mIKy3buB224DBg2SAzRP0JAgjsib2f2nsG3btigvL8ePP/5Y77Z79uxBWVkZtFqtvYclIge6+gYBlUqFlJQUTJ06tcZ2b731Vo39p0+fXmcyv+kuOyGMADYA+AdUqpGIjpbvrOb/zywzBWU7dgC9egF33AEcOqRol4jIwewOxgYNGgQhBKZPn47KOkpLV1ZWmu/UGjx4sL2HJSIHq3p5KSsrC9OmTat1ux49etRYVt+lypqXNwWMxnVYsmQ3Vq6UpwwCGJTVxfTndfNm4KabgLvvBn77TdEuEZGD2B2MPf300wgICMCuXbswcOBAHKrlv2wHDx7EgAEDsGvXLvj7++OZZ56x97BE5ATWXF5qSNkDS/t07BiDBx4Ajh8HPvsMaN3atJY5ZZaYRso2bpTLYYwcCVhR5pGI3JjdwVhUVBQWL14MANi5cyd69OiByMhI3HrrrejTpw9atWqFnj17YufOnZAkCUuWLEGbNm3s7jgRKaMhNc/q28fHB0hMBF588RNI0ngAZwEYwaDMMoNBvjP1q6+Azp3lqv4s50XkmRw2N+W3336Lp556Cjqdrtb17dq1wwcffIAhQ4Y44nAeg6UtqLFqSNmDuvapXjbDD0ASgNmQpGsgBK9f1ketloOzxETg5ZflOTCJqOFc+f3t0InCDQYD0tPTsWfPHuTl5QEAWrZsiVtvvRX9+vWr9S4sWxUWFmLBggX44osvkJmZCbVajQ4dOmD06NGYNGkS/Pz87D6GyeOPP24e9dNqtRYDzbowGCOyTnp6Ovr373/VUn9MnPgbVq+ORX4+a5RZQ62Wc++SkuRyIn9f+iUiW3hsMOZsWVlZiIuLMwdFQUFBMBgMKCsrAwB069YN27dvR9OmTe0+1o4dO9C/f39z7SUGY0TOVVdB2aZNo/DRR8CbbwIFBe45uba7MQVljz8OvPgi0LKl0j0i8iweVfTVVQwGA0aMGAGdToeWLVti69atKC4uRklJCVavXo3Q0FAcOnQICQkJdh+rpKQEjz32GHx8fGq9c4yIHK+uvLLgYGDaNODMGeDVV4HQUNYoq4/BIN+B+fHH8iXLKVOA8+eV7hUR1cbuP2fnz5/HwoULsWrVqnq3XbFiBRYuXIiLFy/afJzPPvsMv/11H/cXX3yBgQMHApDrIY0aNcp8OfG7777D9u3bbW6/qpdeegmnTp3C888/j+uvv96utojIevVVbw8NlS+9ZWcDs2YBwcEMyupjMADl5cB77wFaLTBjBnDpktK9IqKq7P4ztnz5ckyePNmq6VB+/fVXTJ48GStXrrT5OEuXLgUA9OvXD717966xfvTo0Wj7V7GiZcuW2dy+yd69e7Fw4UJ06NABM2fObHA7RNQw1pTX0GiA5GR5pGz6dCAgQL4sR5YZDEBpKZCSArRpA8yeDVy+rHSviAhwQDC2fv16AMB9991X77ZjxoyBEALffPONTccoKSnB7r8mZxs6dGit20iSZL5Tc8uWLTa1b1JWVoZHH30UQggsXrwYAQEBDWqHiFwjPFyeTHvv3rO4774z8PMTDMrqYTQCJSXA66/LQdnrrwOFhUr3isi72R2MnTp1CpIkITY2tt5tO3bsCEmScOrUKZuOcezYMXNSb5cuXSxuZ1qXl5eH/Px8m44BAK+++iqOHTuGpKQkxMXF2bw/EbleWloabrqpNdau1aKiIhJxcUfg68uRsvoYjXIQNnu2fMdlSgpQXKx0r4i8k93B2IULF9CkSRP4+vrWu62fnx+aNGmCc+fO2XSMs2fPmp9HRkZa3K7quqr7WOPQoUNISUnBtddei5SUFJv2raqsrAwFBQXVHkSukJOTg/T09DrniGxsTHNemv6zJsQf2LHjBuze/QfGjZOLyfr4KNxJN2c0Anq9fLm3TRvgnXeAK1es29cb33NEzmB3MBYaGgq9Xo/S0tJ6ty0tLUVBQQGCgoJsOkZhlTH0uvatuq7QhnH3yspKPProo6isrMTChQvtKo0xZ84caDQa86M1i/yQC6SlpUGr1aJ///7QarVIS0tTuksuUXPOS/nO6+Li4/j4YyAjAxg7Vk7yZ1BWNyGA/Hz5rsvoaODDD4G/qgbVylvfc0TOYHcwdv3118NoNGLjxo31brthwwYYDAZ06tTJ3sM61FtvvYVffvkFw4cPx8iRI+1qa8aMGdDr9eZHdna2g3pJVLurR4eMRiMmTJjgFaMV9c2TGR0NpKXJc18+8IBcd4tBWd2EkEtgTJokT+C+ZAlQUVF9G29+zxE5g93B2J133gkhBKZOnVrnpcHc3FxMnToVkiTh7rvvtukYoaGh5uclJSUWt6u6ruo+dTl69Chee+01hISE4KOPPrKpX7Xx9/dHWFhYtQeRM1kaHbLmDmdPZ+08mTExwLJlwNGjwH33MSizhhBAXh4wYQLQvr08kXtlpbzOm99zRM5gdzD2+OOPIyoqCtnZ2bjxxhvxzjvvICMjA+Xl5SgvL0dGRgbefvttdOvWDdnZ2YiMjMSTTz5p0zFatWplfp6bm2txu6rrqu5Tl4kTJ6K8vBwvvfQSmjZtiqKiomqPyr/++gghzMsqrv5vIpGC6hsdauzqq01WVadOwOrVwOHDwIgR8jIGZZaZ5mfJyQEeeQTo2BFYuRJo186733NEDicc4MCBA6JFixZCkiShUqlqfUiSJFq0aCEOHTpkc/vFxcVCpVIJACIlJcXidk888YQAICIiIqxuW6vVCgA2Pd555x2r29fr9QKA0Ov1Vu9DZKvU1FShVqsFAKFWq0VqaqrSXfIIBw8KcccdQgBCqNXyv3xYfkiS/G+HDkI8/vg2oVL58D1HjZYrv78dUrv6pptuwsGDB5GQkAAfHx8IIao9fH19MXbsWBw6dAg33nijze0HBQWhT58+AIBNmzbVuo0QAps3bwYADB48uMGvhcgT2TI65EmsuVvPnjv6unUDNm4EfvoJMM1RzpIYlplGyk6eBBYtGoCYmBK89tphZGY2nvcckSIcHd0VFxeLH374QaxZs0asWbNG/N///Z8oKSmxu93U1FQBQEiSJPbu3Vtj/Zo1a8wjV9u2bbP7eCaJiYkCgNBqtQ3anyNjRA2TmppqHhFXqVS1jrxYs40tdu0S4vbbOVJm7UOlkv+94QYh/vtfIYxGu379RG7Fld/fDg/GnKWiokJ07dpVABCRkZHmgMtgMIi1a9eKsLAwAUAMHTq0xr6zZ882B2qZmZk2HZfBGJHrZWdnm4Ms00OtVovs7Gybtmmo9HQhevdmUGbtw/Q76tlTiK1bGZRR4+BxlyldwcfHB+vXr0d0dDRyc3MxcOBABAcHIzg4GCNHjkRBQQG6deuGFStWKN1VIrKTNXfrOfOOvrg4YPduYMsWwJRZwQnJLTMY5H8PHgQGDQL69gV++EHZPhF5Eof9efn1118xfvx4dO7cGWFhYVCr1RYfPg28fSk6OhqHDx/Gyy+/jC5dukCSJPj6+qJ79+6YP38+9u7da1fBViJyD9bcIersu0glSQ4s9u2T88pMM7ExKLPMFJTt3SsHtP36AT/+qGiXiDyDI4bX3n//feHr62u+a7K+h0qlcsRhPQIvUxI1jDV3iFraJjs7W3z//fcOuWRpYjQK8dVXQlx3XfV8KT7qv3w5eLAQ+/Y57FQ0SgUFQowaJcS//610T8jEld/fkhBC2BPM/fTTT7j11lsBAE8++STuuOMODBs2DOHh4Vi7di3y8vKwbds2rFy5EmFhYVi4cCFatmyJ22+/3e5A0hMUFBRAo9FAr9ezACyRjXJycnDy5EnExMTUKORqaZu0tDRzdXiVSoUlS5Y49E4/oxH4/HNg5kx5uiVJkkMPskytlkfNhg8HXnvt70u/9LeffwZ69ZJ/Vzt2ALfdpnSPyJXf33YHYwkJCVi1ahWeffZZvP322wAAlUqFiIiIahX5f/nlF8THxyMsLAwHDx60ukK+p2MwRuQ6OTk50Gq11XLJ1Go1dDqdxWCuoQwGuYDszJmATsegzBo+PnIV/3vukYOy669XukfuY8UK4KGH5MvgTZsCv/wCOPgtSzZy5fe33dkPu3fvhiRJeOaZZ6otvzrGu/HGG/H+++/j1KlTmDdvnr2HJSKqwZXT9KjVQEKCPDr2ySdAZKTDD9HomKZTWr8e6NpVni/0+HFl++QuTpyQg1WjEdDrgbvuAkpLle4VuYrdwdi5c+fg7+8PrVb7d6MqFUpreRfdc8898PX1xZdffmnvYYmIalBiaigfH3mqoFOngEWLgIgIeZSMLDMY5FHEdeuA664DEhPl3583y8j4e2S1slIeGXvySY62egu7g7GgoCD4+vpWWxYaGoqCggKUlZVVW+7r64ugoCBkZWXZe1gickP2VMN3BGsnDncGPz95Um2dDli4EGjRgkFZfUxB2YoV8ryXjz0GeOvXw9Gjf9+NCsgjZJ9+Cnz8sXJ9ItexOxiLjIxEUVERCgoKzMvat28PANi3b1+1bc+ePQu9Xl/jEiYReb60tDRotVr0798fWq0WaWlpivRD6amh/P2Bp56Sg4r58+X8HwZldTMY5MdnnwExMfKIUG6u0r1yHSEsjww+/TSwc6dr+0OuZ3cw9o9//AMAcLzKhf+4uDgIIfDqq6+aL1eWl5fj6aefBgB07drV3sMSURVKj0jl5OSY72AEAKPRiAkTJig6QhYXF+eSETFLAgOB554DzpwB5swBNBrWKKuPwSBfoluyBGjbFnjmGSAvT+leOd+FC0BRUe3rhADuvhtQ6KNELmL3n4bhw4dDCIE1a9aYl02cOBH+/v7Yvn07oqKi0KdPH0RGRuKrr76CJEl46qmn7D0sEf3FHUakXJk472lCQoAXXpCDsuRk+WcGZXUzGICKCuDDD4HoaGDaNDlgaawyMiyvMxqBggIm9Dd2dv9JGDZsGGbPno3Y2FjzsrZt22LlypUIDQ1Ffn4+fvzxR1y6dAmSJOH5559HQkKCvYclIrjPiJQSifOeJiwMmDULyM4GXnoJCApiUFYfgwEoKwPeeQfQauXfW36+0r1yvLqCMeDvhP4nnmBCf2Nld52xuuTn5+Pbb79FdnY2NBoNBg8e7HV/nFlnjJwpPT0d/fv3r3V5XFycS/uSlpaGCRMmwGAwmBPnXZ2v5UkuXQJSUuRk/4qK6snbVDuVSr78O20a8Oyz8qXfxuCll4B58+T3QX0++ACYONH5fSIPK/pKdWMwRs7kyiKn1vanvor5VN25c8DcufIlOVMiO9VNpZIv906fDkyaJD/3ZP/6F/DVV/Ilyfqo1cD33wP//Kfz++XtPKroKxEpR8lSDpb6o3TivKe59lrg7beBzEzg8cflumV/nU6ywJRH9dJLQOvW8l2rJSVK96rhjh2zLhAD5MuU99wjX+6mxoMjY07GkTFyBY5INR5nzgBvvAGkpcklMUxV68kySQKaNZNz8saPBwIClO6R9YSQ8wdtSc738ZFnMNizx7Neq6fhyBgR2YQjUo1HmzbA4sVyUrdprkKOlNVNCODiRTmPLDpaLpRaXq50r6zzxx+23yVZWQn8+qs8ksrhlMaBwRgRkRtq21auwP6//wGjRsmjPz4+SvfKvQkh5+A9+aT8+0tNtS4pXkknTjRsP6MRWLpUzjUkz8dgjIjIjcXGytMFHTkiF/8EGJRZ448/gHHj5N/fsmXue2NEfWUt6vPss8D//Z9DukIKYjBGRATlZzGoz3XXyRNr//orMGyYvIxBmWWmy3dnzsgTkXfsCKxebX2ivKtkZABXTe9sE1OFfib0ezYGY0Tk9dxhFgNr/eMfwDffAPv3A4MGycuYU2aZKSjLzAQeeADo3Bn44gv3CcpOnLDvJg3TnaV33glcueK4fpFrMRgjIq/mLrMY2Kp7d+Dbb4EffwRuucWUAe7mCVIKMgVfGRlyXa8bbgA2bFA+Af7YMfv7YDAAhw8zod+TMRgjIo/grMuInj6v5i23AK+99iOAvgB+/Gsp62FYYjrVR4/Ko0nduwObNikTxBiN8oido9patkyu0E+eh8EYEbk9Z15GbAzzasqvYQ+A2wH0B7AfAKBScZjEElNQdvgwMHQo0Lu3XNnelbKzHX+357PPAj/84Ng2yfkYjBGRW3P2ZUR3m8WgIaq/hnSoVLfh2Wc34YYbJACckLwuprss9+8HBgyQpxnaudM1x7b3TkpL7rlHvnGBPAc/okTk1lxxGTEpKQk6nQ7p6enQ6XQeOcF51deQlaXDO+8MwYEDwPr1ctI6wKCsLqagbM8eOSAbMAD46SfnHjMjQ64f50hGI1BYyIR+T8OPJhG5NVddRmwMsxhc/RokCRgxQi6H8fnncs0tgEFZXUxB2Q8/yPl4w4YBBw8651gnTjinPEllJfDbb/LUUEzo9wz8SBKRW2sMlxGVlJOTgx9+SEevXjk4ehRYtUquTg84flSmMTEFZVu2yEn+d90l55c50okTzpshwGgEli8H3n/fOe2TY3GicCfjROFEjsHJ0G2XlpZmzrdTqVRYsmQJkpKSUFkJrFwpT6x95owclPGboG4+PvKI07/+Bbzyyt+Xfu3Rti2g09nfTl1UKmD7diAuzrnHaYxc+f3NYMzJGIwRkRJycnKg1Wqr5dup1WrodDpzMFtRIZdDmD0byM1VqqeeRa2WR51Gj5aDMtOlX1tVVgIBAc6fpkmlAjQa4Jdf5EnoyXqu/P7mZUoiokbImhsffH2BpCTg9Gngo4+Aa6/lpcv6GAzyKOLatUCnTsAjjzSsVphO55r5Mk0V+keMYEK/O2MwRkTUCNly44OfH/DEE3KA8O67QLNmDMrqYzD8nZcVGysny9syP6SzylrUxmAAfv9dnjid18LcE4MxIqJGqCE3PgQEAE8/LeeRpaQATZrwzsv6VFbKwc4nnwDt2gFPPQX88Uf9+2VkuPZ3azQCK1YACxe67phkPeaMORlzxohISfbc+FBYKN+NN3cuUFTkPpNruzO1Wn5MnAhMnw5cc03t202aBCxe7Ly7KS1RqYBt24B+/Vx7XE/EBP5GhMEYEXk6vV6+fDlvnpx3xKCsfmq1nJP39NPA88/Ll36rGjRIDopcTaUCwsLkhH6t1vXH9yRM4CciIreh0ch3XJ45I4/2BATIwQZZZjAApaXA/PlA69ZyGZHLl/9e/7//KdMvo1Ee5WSFfvfCYIyIiKwSHg688YYclE2eDPj7Myirj9EoBz1vvikHZa+9Bly8CJw9q1yfKivlhP7HHmNCv7tgMEZERDZp0UK+ZKnTyQnrvr4MyupjGpFKTpYvDyp9qddolAv/vveesv0gGYMxIiJqkIgIOZcsM1Mu7eDjw6CsPkYjUFIiB7DuYMoUID1d6V4QgzEionrk5OQgPT0dOTk5SnfFLUVGykVjT54EHn5YThJnUFY3V99FWZd77wWyspTuhXdjMEZEVIe0tDRotVr0798fWq0WaWlpSnepBncJFrVaIDVVngA7IUEuHOvjo2iXqB6my6cjRsgjdqQMBmNERBbk5OSYJ9oGAKPRiAkTJige9FTljsFi+/bA0qXAsWPyxNoMytxbZSVw5AgT+pXEYIyIyAJr5ndUkrsHix07AqtWAYcPy6UUAAZl7spolM/Vu+8q3RPvxGCMiMgCW+Z3VIK7B4smXboAX3wBHDoEDBkiL2NQ5p6mTgW+/17pXngfBmNERBY0ZH5HV3J2sOjoXLQbbwQ2bAB+/hno319exkR/93PffXLZEnIdBmNERHVISkqCTqdDeno6dDodkpKSlO6SmTODRWfmovXsCWzeDOzeDfTtKy9jUOYemNCvDM5N6WScm5KInM2eycAttafVaqtdAlWr1dDpdE4ZFfzhB+DFF4E9e+SgzGBw+CHIRioVMHKkXBhWkpTujTI4NyUREVktKioKcXFxDQ6Urr4c6epctNtvB3btArZuBW66SV7GkTJlGY3A6tXAO+8o3RPvwGCMiMiL1XY5UokbFyQJGDgQ+Okn4L//lZP+AXmEhpQzdSqwfbvSvWj8+DYnIvJSlkpjAFDsxgVJAoYNk++8/PproFMneTmDMmVIEhP6XYFvbyIiL1XX5Uilb1yQJOCuu4DffgPWrpULyZqWk+swod81GIwREXmp+i5H2puL5ggqFXD//XI1/xUrgOhoeTmDMtcxGICjR4GkJFbodxYGY0REXsrd66hVpVYDDz4oz3v56aeAqYsMylzDlND/9ttK96RxYmkLJ2NpCyJyd44ujeEKFRVyUJacDOTlccTGVSQJ2LJFvtmisXPl9zeDMSdjMEZE5DxlZUBqKvDKK8DFiwzKnE2lAkJD5Rss2rZVujfOxTpjREQezNHTCJFl/v7AxIlAVhawYAEQHs5Ll85kNALFxUzodzQGY0REDuTMaYTIssBAYPJk4MwZ4K23AI2G5TCcpbJSvqHikUc4EukovEzpZLxMSeQ9XD2NEFlWWAi89x6QkiKP5FxVwYMcZN48uTBsY8TLlHUoLCxEcnIyunbtipCQEGg0GvTs2RMLFixAeXl5g9rMzc3FRx99hPvvvx8xMTEIDAxEYGAg2rZtiwceeADff/+9g18FETVGrp5GiCwLDQVmzpRHymbOBIKCOFLmDM8/L09jRfbxqJGxrKwsxMXFQfdXKeCgoCAYDAaUlZUBALp164bt27ejadOmVreZnZ0NrVaLqr+GoKAgCCFw5coV87JHH3202i3g1uLIGJH34MiY+7p0CZg/H3j3XflOTE5G7hiNOaGfI2O1MBgMGDFiBHQ6HVq2bImtW7eiuLgYJSUlWL16NUJDQ3Ho0CEkJCTY3K4QAgMGDMDSpUuRm5uL4uJiFBUV4ciRI7jrrrsAAJ988gmSk5Od8MqIqLHwpLpd3qZZM2DOHDnR/5lnAD8/TkbuCKYK/cOHy5eDqWE8ZmQsLS0Njz32GABgz5496N27d7X1q1atwoMPPggA2LZtGwYMGGBVu3q9HqdOncJNN91U63ohBIYNG4ZNmzYhJCQEFy5cQEBAgNX95sgYkffxxLpd3uaPP4A33wQWLZKT0DlSZh+VSp7Dcs2axnM3K0fGarF06VIAQL9+/WoEYgAwevRotP1rjHTZsmVWt6vRaCwGYgAgSRIeffRRAEBRURGOHTtmS7eJyAu5wzRCVLeWLYH33wdOn5an+VGrAR8fpXvluYxGYN06+VIw2c4jgrGSkhLs3r0bADB06NBat5EkCUOGDAEAbNmyxaHHrzoSZuB/n4iIGo3WrYHFi4GTJ4ExY+QRHgZlDffCC0zobwiPCMaOHTtmTojt0qWLxe1M6/Ly8pCfn++w4+/YsQMA4Ofnhw4dOjisXSIicg/R0cAnnwDHjwOjRsmX2hiUNcy//iWPOJL1PCIYO3v2rPl5ZGSkxe2qrqu6jz0yMzOxaNEiAMCoUaPqvW5cVlaGgoKCag8iIvIMMTHA8uXAkSPAPffIyxiUWU8IOZGfCf228YhgrLCw0Pw8KCjI4nZV11Xdp6GuXLmC+++/HyUlJWjWrBnmzJlT7z5z5syBRqMxP1q3bm13P4iIyLWuuw5YuxY4fBi44w55GYMy6xgM8gjjww+zQr+1PCIYU0JlZSUefPBBHDhwAL6+vli5cmWdo3ImM2bMgF6vNz+ys7Nd0FsiInKGrl2Br78GDhwABg+Wl7EkRv2MRuDzz+UK/VQ/jwjGQkNDzc9L6piZtOq6qvvYymAw4KGHHsLXX38NHx8frFy5EoNNn8J6+Pv7IywsrNqDiIg82003Af/9L7B3LxAXJy9jUFa/6dMBB99T1yh5RDDWqlUr8/Pc3FyL21VdV3UfW5gCsTVr1kCtVmP58uX417/+1aC2iIiocenVC9i2Ddi5E+jTR17GoMwySQLuvx84dUrpnrg3jwjGrrvuOqj+mlTs999/t7idaV1ERATCw8NtPo7BYEBCQgJWr15tDsRGjRrVsE4TEVGjddttwA8/AN9/D/TsKS9jUFaT0Sgn8o8YwYT+unhEMBYUFIQ+f/0XZNOmTbVuI4TA5s2bAcDqS4pVmQKxqiNio0ePbniniYio0evXD9izB9i8GbjhBnkZJySvjgn99fOYt0xiYiIAID09HT/99FON9evWrcPpvwqbjB071qa2DQYDHnzwQaxZswY+Pj5YsWIFAzEiIrKKJMnJ/fv3Axs2ANdfLy9nUPY3JvTXzWPeKomJiejatSuEELjvvvuwfft2AIDRaMS6deswbtw4AHKF/qvnpUxOToYkSZAkCTqdrto6g8GAMWPGYO3ateZkfV6aJCIiW0mSXF/r11+BL74ATDXCG8tcjY7AhP7aeUww5uPjg/Xr1yM6Ohq5ubkYOHAggoODERwcjJEjR6KgoADdunXDihUrbGp39+7dWLVqFQB5SqVJkyYhIiLC4mPNmjXOeHlERNRISBJw771y4djRo1mfrCom9NfOo94i0dHROHz4MObPn48vv/wSmZmZ8PX1xfXXX48HHngAkyZNgp+fn01tmqZZAoCKigqcO3euzu2vXLnSoL4TEZF3UamAkhKgslLpnriPqgn9+/YBwcFK98g9SEIwnc6ZCgoKoNFooNfrWXOMiMjLxMbKk5BTdWq1PN3U2rXuexnXld/fHnOZkoiIyJMYDEBWltK9cE8Gg5zQn5KidE/cA4MxIiIiJ8jOBioqlO6Fe5sxQy4L4u0YjBERETlBRobSPfAMTOhnMEZEROQUJ064bz6UuxBCvslh+HCgqEjp3iiHwRgREZETZGSwrIU1DAb5d5WY6L0V+hmMEREROcGJE8wZs5bBAHz5JTB3rtI9UQaDMSIiIic4dkzpHnieF18ELExB3agxGCMiInKwigrgzBmle+GZRo70vtpsDMaIiIgcTKeTq82Tbbw1oZ/BGBERkYOxrEXDGQzyyJg3JfQzGCMiInKwjAx5bkpqGFNC/1tvKd0T1+BbhYiIyMFOnJDnXyT7vPQS8N13SvfC+RiMEREROdjx4yxr4SijRjX+hH4GY0RERA72v/8p3YPGoWpCf2Gh0r1xHgZjREREDlRWBpw9q3QvGg9vSOhnMEZERORAp0413qBBKQYD8NVXwJw5SvfEORiMERERORDLWjjPzJnAt98q3QvHYzBGRETkQCxr4VyjRjW+gJdvFyIiIgdiMOY8QgClpY0voZ9vFyIiIgc6dgyorFS6F41XZaWclzd2bOPJzWMwRkRE5EDHjyvdg8bPYAC+/hp4802le+IYDMaIiIgcpKQEOH9e6V54j1mzgP/+V+le2I/BGBERkYM09krx7kYIYNw4z79c6aN0B4iIiBqLEyeU7kHj4fNXhHJ1/p2vL3DttUBkJKDVAoMHA5Lk+v45EoMxIiIiB8nIkCcINxiU7on7Uqvlu00NBsBorL6uaVM5yGrTBoiKkp+3aiX/a3rerJnnB19XYzBGRETkIBkZjS9QsJYkyaNZQtQczQoIACIigNat5UDr6iArMlJe7+enTN+VxmCMiIjIQRprWQsfHznYqqysnp+lUgHNm9c/mhUW5r1BqjUYjBERETmIp+WMqVTyZUOjseal1ZAQOZBq3Vp+1Daadc018v5kHwZjREREDlBQAOTnK92Lv9WVAH/NNfIolumSYW2jWUFBru+zt2IwRkRE5ACumi+xvgT4Vq0sXzKMjGycCfCejsEYERGRA9gbjNWXAH/ttXKQZbpkeHWgFREB+Pvb1wdSBoMxIiIiBzhxQh6xunq0Cqg7Ab5Zs7oT4CMjmQDf2DEYIyIicgAhqgdiISFAy5bVg6yrA61rrvk7t4u8F98CREREDvDSS0C/fnIA1qoVEBysdI/IUzAYIyIicgAfH+Cf/1S6F+SJOFE4ERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpiMEYERERkYIYjBEREREpyOOCscLCQiQnJ6Nr164ICQmBRqNBz549sWDBApSXl9vV9rlz5zBlyhR07NgRgYGBCA8PR9++fZGamgohhINeAREREdHfJOFBUUZWVhbi4uKg0+kAAEFBQTAYDCgrKwMAdOvWDdu3b0fTpk1tbvvAgQOIj4/HpUuXAAAhISEoLS1FZWUlAGDw4MFYv349/P39bWq3oKAAGo0Ger0eYWFhNveLiIiIXM+V398eMzJmMBgwYsQI6HQ6tGzZElu3bkVxcTFKSkqwevVqhIaG4tChQ0hISLC5bb1ej+HDh+PSpUvo1KkT9u3bh8LCQhQXF+ODDz6Ar68vtmzZgsmTJzvhlREREZE385hg7LPPPsNvv/0GAPjiiy8wcOBAAIBKpcKoUaOwePFiAMB3332H7du329T2/PnzkZeXh8DAQHz77bfo0aMHAMDPzw8TJ07EK6+8AgBYsmQJTpw44aiXREREROQ5wdjSpUsBAP369UPv3r1rrB89ejTatm0LAFi2bJlNbZu2r9pGVZMmTUJISAgMBgNWrFhha9eJiIiILPKIYKykpAS7d+8GAAwdOrTWbSRJwpAhQwAAW7Zssbrt48eP48yZM3W2HRISgr59+9rcNhEREVF9PCIYO3bsGIxGIwCgS5cuFrczrcvLy0N+fr5Vbf/+++819q+r7aNHj1rVLhEREZE1fJTugDXOnj1rfh4ZGWlxu6rrzp49i/DwcIe3XVBQgKKiIoSEhNS6XVlZmfnuTkC+OcC0HxEREXkG0/e2K4pOeEQwVlhYaH4eFBRkcbuq66ru44y2LQVjc+bMMSf8V9W6dWur+kNERETuo7CwEBqNxqnH8IhgzJPMmDEDzz33nPlno9GI/Px8NGvWDJIkKdgz71ZQUIDWrVsjOzub9d4UxnPhHnge3AfPhfuoei5CQ0NRWFiIVq1aOf24HhGMhYaGmp+XlJRY3K7quqr72NK2pQ+CtW37+/vXKAzbpEkTq/pCzhcWFsY/dm6C58I98Dy4D54L92E6F84eETPxiAT+qlFpbm6uxe2qrrM2krW17bCwMIuXKImIiIhs5RHB2HXXXQeVSu5q1bsfr2ZaFxERYVXyPlD9Dkpr2u7cubNV7RIRERFZwyOCsaCgIPTp0wcAsGnTplq3EUJg8+bNAOR5JK3VsWNHtGnTps62i4uLsXPnTpvbJvfh7++P2bNn2zy3KDkez4V74HlwHzwX7kOpc+ExE4WnpaXhsccegyRJ+PHHH9GrV69q69euXYtRo0YBALZt24YBAwZY3fasWbPw+uuvIygoCEeOHEF0dHS19SkpKXjhhRegVqtx9OhRdOjQwe7XQ0RERAR4yMgYACQmJqJr164QQuC+++4zzz9pNBqxbt06jBs3DoBcRf/qQCw5ORmSJEGSJOh0uhptT506FRERESgpKcEdd9yBAwcOAADKy8vx8ccfY9asWQCA8ePHMxAjIiIih/KIuykBwMfHB+vXr0e/fv2g0+kwcOBABAUFwWg0orS0FADQrVu3Bs0dqdFosHHjRsTHx+Po0aPo0aMHQkNDUVpaioqKCgDy5cl33nnHoa+JiIiIyGNGxgAgOjoahw8fxssvv4wuXbpAkiT4+vqie/fumD9/Pvbu3YumTZs2qO3u3bvjyJEjmDx5MmJjY1FRUYHg4GDcdttt+Pe//43vvvuO1/OJiIjI4TwmZ4yIiIioMfKokTGiwsJCJCcno2vXrggJCYFGo0HPnj2xYMEClJeXN6jNqjmFdT1Onjzp4FfjmUpKSvDdd9/h9ddfx7333gutVmv+HSUnJzvkGOfOncOUKVPQsWNHBAYGIjw8HH379kVqaqpL5onzBM48D/xM2ObSpUv49NNP8dBDD6Fz584IDg6Gv78/oqKicPfdd+Orr76y+xj8TFjHmefCmZ8Lj8kZI8rKykJcXJz5JoygoCCUlZVh//792L9/P1asWIHt27c3+FK1r69vnfXpfHz4cQGAn3/+GcOGDXNa+wcOHEB8fDwuXboEAAgJCUFhYSF27dqFXbt2Yd26dVi/fr3Xpw04+zwA/ExYKyIiApWVleafAwIC4Ovri9zcXOTm5uKbb77B0KFD8fnnn9c5B7Il/ExYz9nnAnDO54IjY+QRDAYDRowYAZ1Oh5YtW2Lr1q0oLi5GSUkJVq9ejdDQUBw6dAgJCQkNPsatt96KvLw8i4+rS554s6ZNm2LAgAGYNm0aVq1ahYiICIe0q9frMXz4cFy6dAmdOnXCvn37UFhYiOLiYnzwwQfw9fXFli1bMHnyZIccz9M56zyY8DNhncrKStx888346KOPcOrUKVy5cgVFRUXIzMxEUlISAOC7777DhAkTbG6bnwnbOPNcmDjlcyGIPEBqaqoAIACIPXv21Fi/cuVK8/pt27bZ1Pbs2bMFAHH77bc7qLeNW2VlZY1lWq1WABCzZ8+2q+2ZM2cKACIwMFCcPn26xvo333xTABBqtVocP37crmN5OmeeB34mbPP999/XuX7ChAnmv09nzpyxqW1+JmzjzHPhzM8FR8bIIyxduhQA0K9fP/Tu3bvG+tGjR6Nt27YAgGXLlrm0b95GrVY7rW3Tuat6PquaNGkSQkJCYDAYGlTGpjFx5nkg2/Tr16/O9aYRGQDYv3+/TW3zM2EbZ54LZ2IwRm6vpKQEu3fvBiAX9a2NJEkYMmQIAGDLli0u6xs5zvHjx3HmzBkAls9zSEgI+vbtC4DnmTxHQECA+bnBYLB6P34mHK+h58LZGIyR2zt27BiMRiOA6hO7X820Li8vD/n5+TYf58iRI+jSpQsCAwMREhKCjh07Yty4cTh06FDDOk42+f33383PrTnPR48edXqfvB0/E46xY8cO8/OuXbtavR8/E47X0HNRlTM+FwzGyO2dPXvW/DwyMtLidlXXVd3HWhcvXsSxY8fMd2meOHECqamp6N69O2bOnGlze2QbW89zQUEBioqKnN4vb8bPhP0uX76MOXPmAAD69u2Ljh07Wr0vPxOOZc+5qMoZnwsGY+T2CgsLzc/ruhW56rqq+9QnNjYWKSkpOH78OEpLS3Hp0iUUFxdj8+bN6N69O4QQeOONN7BgwYKGvQCyirPPM1mPnwnHMBqNGDNmDP744w/4+/vj/ffft2l/fiYcx95zATj3c8FgjLxeQkICpk2bhg4dOsDX1xcA4Ofnh8GDB2PXrl3o2bMnALngn16vV7KrRC7Bz4RjPPPMM9i4cSMA4KOPPsINN9ygcI+8lyPOhTM/FwzGyO2Fhoaan5eUlFjcruq6qvvYIyAgAG+++SYAoKioCNu3b3dIu1STkueZrMfPhHWmTp2KDz74AADwzjvv4NFHH7W5DX4mHMMR56I+9n4uGIyR22vVqpX5eW5ursXtqq6ruo+9qpbSOH36tMPapepsPc9hYWEICQlxer+oJn4m6vb888+bL1XNmzcPzz77bIPa4WfCfo46F9aw53PBYIzc3nXXXQeVSn6rVr276GqmdREREXVOVUHuqerdYtac586dOzu9T0S2mjZtGubNmwcASElJwdSpUxvcFj8T9nHkuXA2BmPk9oKCgtCnTx8AwKZNm2rdRgiBzZs3AwAGDx7s0OPv3bvX/Ly2oovkGB07dkSbNm0AWD7PxcXF2LlzJwDHn2eyHj8TtZs6dSrmz58PQP7ynzZtml3t8TPRcI4+F9aw63Ph8Jr+RE5gmg5JkiSxd+/eGuvXrFnToOmQjEZjnetLS0tFr169BAARHBws/vzzT1u77hUcPR1SUFCQyMzMrLF+7ty5nPqlDo44D/xMNMyUKVPMf4Pmz5/vsHb5mbCdM86Fsz8XDMbII1RUVIiuXbsKACIyMtIccBkMBrF27VoRFhYmAIihQ4fW2Nc0nxiAGn/MduzYIQYMGCD+85//iOzsbPPy8vJysW3bNtGzZ0/zvnPnznXqa/Qk+fn54sKFC+ZH69atBQAxbdq0assLCwur7VfXuRBCiMuXL4uIiAgBQHTu3Fns379fCCFEWVmZ+Oijj4Sfn58AIJ544glXvEy354zzwM+E7Z5//nnz7+Ttt9+2aV9+JhzLWefC2Z8LBmPkMTIzM0V0dLT5DR8UFCQCAgLMP3fr1k3k5+fX2K+uD1h6erp5Hf6ajLd58+bC19fXvEylUokXX3zRRa/SM5hGYOp7JCYmVtuvvi8eIYTYv3+/aNasmXm70NDQaudj8ODBorS01Pkv0gM44zzwM2GbrKysar+Xa6+9ts7HvHnzqu3Pz4TjOPNcOPtz4VPHFUwitxIdHY3Dhw9j/vz5+PLLL5GZmQlfX19cf/31eOCBBzBp0iT4+fnZ1GbXrl0xf/58/Pjjj/jtt99w8eJFXL58GUFBQejcuTP69u2L8ePHN3jaDLJd9+7dceTIEcydOxcbN25EdnY2goOD0aVLFyQmJuLRRx8139BBjsfPhG1MU7WZnp87d67O7RtSIZ+fCes481w4+3MhCSFEg/YkIiIiIrsxlCYiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIiIgUxGCMiIiJSEIMxIiIP9vDDD0OSJDz88MNKd4WIGojBGBEREZGCGIwRERERKYjBGBEREZGCGIwRERERKYjBGBF5nLVr12Lo0KG49tpr4evriyZNmiA2NhZ33nknPvzwQ5SWlpq3rZrgLoTAokWLcPPNN0Oj0SAsLAy33XYbVqxYUe8x8/LyMH36dNxwww3QaDQICAhAu3bt8Nhjj+Ho0aP17v/111/j7rvvRqtWreDn54emTZvin//8JxYtWoSKioo6912xYgX69OmD0NBQaDQa9OrVC0uWLIEQov5fFhG5P0FE5EEeffRRAcD8CAkJEUFBQdWWZWZmmrdPTEwUAERiYqIYNWqUACBUKpVo2rSpkCTJvM8jjzwijEZjrcfcsGGDCAkJMW/r6+srgoODzT/7+fmJpUuX1rpvYWGhGD58eLX+hYWFVTt27969RX5+fo19jUajeOSRR8zbSZIkmjZtKlQqlQAgRo8eXe31EZFnYjBGRB5j586d5mBq7ty54tKlS+Z1Fy9eFJs3bxaJiYkiNzfXvNwUrGg0GiFJknjttdeEXq8XQghx/vx58dRTT5mDnffee6/GMX/66Sfh5+cnAIgJEyaIY8eOicrKSiGEEFlZWeLJJ58UAISPj4/Yt29fjf3vvvtuAUDExMSIlStXioKCAiGEEFeuXBHffPONaNeunQAg7r777hr7vvfee+a+PfXUU+LChQtCCCEuX74skpOThSRJokmTJgzGiDwcgzEi8hhz584VAMTgwYOt3scUjAEQs2bNqnWbhx56SAAQ4eHh4sqVK9XW9ezZs859hRDi6aefFgDEXXfdVW35xo0bBQAREREhcnJyat03OzvbPMp26NAh8/IrV66I8PBwAUCMGTOm1n2nT59ufm0Mxog8F3PGiMhjNGnSBABw4cIFGAwGm/YNDAzE1KlTa1338ssvAwDy8/OxdetW8/Jff/0V+/btg6+vL6ZMmWKx7bFjxwIAtm3bVq1fqampAIAxY8YgMjKy1n2joqLQr18/AMDmzZvNy7ds2YL8/Pxq/bva9OnTERAQYLFfROQZfJTuABGRtQYOHIiAgAAcOnQIffv2RVJSEvr374+2bdvWu2+PHj0QFhZW67rY2FhERUUhJycH+/fvx4gRIwAAu3btAgAYjUZ07NjRYtumAKy4uBiXLl3CNddcU23/JUuWYNmyZRb31+v1AICsrCzzsv379wMAWrdujZiYmFr302g06N69O3bv3m2xbSJyfwzGiMhjtGvXDqmpqXj88cfx448/4scffwQAtGjRAv369cODDz6IO++8E5Ik1djX0shU1fU5OTk4f/68ednZs2cByMHWuXPnrOpjSUkJAKCiogIXL14EIAdbpoDLmn0BmPtRX7+joqKs6hcRuS9epiQij5KQkICsrCwsWrQIo0aNQuvWrXHhwgWsXbsWd999N26//XYUFBTU2K+2AK0+phGvTp06Qcg5tvU+oqOjq+0LAKtXr7Zq388++8wh/SYiz8JgjIg8Tnh4OCZMmIDVq1fjzJkzOHnyJKZPnw5JkrBz504kJyfX2CcnJ6fONnNzcwHAfIkRACIiIgAAp0+fRnFxsU19DAgIgEajAQD89ttvNu1btR/W9puIPBeDMSLyeO3bt8ecOXPw4IMPAkC1JHyT/fv3o7CwsNb9T548aQ56evToYV7ep08fAEB5eTm++uorm/tl2n/dunUwGo027WvqR3Z2Nk6dOlXrNgUFBThw4IDN/SIi98JgjIg8RllZWZ3rAwMDAQBqtbrGuitXrmDBggW17vf6668DkEfcBg0aZF7eo0cPdOvWDQDw0ksv4cKFC3Ue33T3o8n48eMBACdOnMC8efPq3Le4uBjl5eXmnwcNGoSmTZsCAF577bVa90lJScGVK1fqbJeI3B+DMSLyGE899RRGjhyJL774olqifVFRERYtWmS+Y3HYsGE19tVoNHjttdcwZ84c8wjZxYsX8cwzz2Dp0qUAgFmzZlUrFSFJEhYtWgR/f3+cOXMGvXr1wueff14t0T43NxfLly/HoEGD8MILL1Q75l133YV77rkHgFyG4oknnsCJEyfM68vLy/HTTz/hhRdegFarrfaaAgMDMWvWLADA0qVL8eyzz+LSpUsA5BGx1157DW+++aa53AcReTAX1zUjImqwqgVc8ddUSKYK9KbHbbfdJoqKimrsU3U6JLVaXWM6pLFjxwqDwVDrcbds2SKaNWtm3latVotmzZrVmIbpscceq7FvcXGxGD16dLXtgoODq01rZHpcXRjWYDCIMWPGmNebpnFSq9WcDomoEeHIGBF5jFmzZmHhwoW455570KlTJ/j4+KCoqAjXXHMNBg0ahE8++QQ7duxAcHBwrfuvWrUKH3/8Mbp164bKykoEBwejd+/eWLZsGZYuXQqVqvY/iYMGDcLJkycxZ84c3HbbbdBoNLh8+TJUKhU6d+6MpKQkrF+/Hu+//36NfYOCgrBq1Sqkp6djzJgxaNeuHYxGo7nf/fv3R0pKCjIyMmqUsVCpVFi2bBmWLVuGW265BYGBgaisrMRNN92ERYsWYeXKlfb/UolIcZIQQijdCSIiZ3n44YexdOlSJCYm1lo6gohIaRwZIyIiIlIQgzEiIiIiBTEYIyIiIlIQgzEiIiIiBTGBn4iIiEhBHBkjIiIiUhCDMSIiIiIFMRgjIiIiUhCDMSIiIiIFMRgjIiIiUhCDMSIiIiIFMRgjIiIiUhCDMSIiIiIFMRgjIiIiUtD/Ay+tR5hXfa02AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# mean of vector data\n",
+    "m = x.mean(axis=0)\n",
+    "\n",
+    "# principal component\n",
+    "ev, u = np.linalg.eig(sigma)\n",
+    "i_pc = np.argmax(np.abs(ev)) # principal (maximum) eigenvalue\n",
+    "pc1 = np.real(u[:,i_pc]) # principal eigenvector\n",
+    "\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,0], x[:,1], marker='.', color='k')\n",
+    "plt.arrow(m[0], m[1], pc1[0], pc1[1], width=0.1, color='blue')\n",
+    "plt.legend(['samples','pc1'], fontsize=12)\n",
+    "plt.xlabel('speed')\n",
+    "plt.ylabel('accuracy')\n",
+    "plt.axis(ymin=0.0, ymax=1.0)\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "0af3c52f",
+   "metadata": {},
+   "source": [
+    "TO DO:\n",
+    "- Change the variability of speed and accuracy, as well as the linear dependence to see how PCA gives you information about the inder-dependence between speed and accuracy.\n",
+    "- Check the effect of the number of samples.\n",
+    "\n",
+    "NOTA: Are these data Gaussian in 2 dimensions? Not exactly, but it still is a good approximation."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b585022a",
+   "metadata": {},
+   "source": [
+    "## Gerenalization to more dependent variables\n",
+    "\n",
+    "Let's turn to a more complex example with an additional dependence from another variable (effort)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "d6894cb5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# speed is normally distributed (Gaussian) around a mean with a given standard deviation\n",
+    "mean_speed = 1.0\n",
+    "std_speed = 0.3\n",
+    "speed = mean_speed + np.random.randn(n) * std_speed\n",
+    "\n",
+    "# effort is normally distributed (Gaussian) around a mean with a given standard deviation\n",
+    "mean_effort = 1.0\n",
+    "std_effort = 0.2\n",
+    "effort = mean_effort + np.random.randn(n) * std_effort\n",
+    "\n",
+    "# accuracy is negatively affected by the speed and other factors that are assimilated to noise\n",
+    "alpha = -0.2 # linear dependence with respect to speed\n",
+    "beta = +0.1 # linear dependence with respect to speed\n",
+    "std_other = 0.1\n",
+    "accuracy = 0.4 + alpha * speed + beta * effort + np.random.randn(n) * std_other"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7abf5a24",
+   "metadata": {},
+   "source": [
+    "We can calculate the covariance as before, but for 3 variables now.\n",
+    "\n",
+    "TO DO:\n",
+    "- Recover the theoretical values of the covariance matrix"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "86e12e19",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "covariance matrix:\n",
+      " [[ 0.09712412  0.00211854 -0.01714621]\n",
+      " [ 0.00211854  0.04526447  0.00401053]\n",
+      " [-0.01714621  0.00401053  0.01194218]]\n",
+      "correlation matrix:\n",
+      " [[ 1.          0.0319517  -0.50345767]\n",
+      " [ 0.0319517   1.          0.1724969 ]\n",
+      " [-0.50345767  0.1724969   1.        ]]\n"
+     ]
+    }
+   ],
+   "source": [
+    "# make a 3D array from speed and accuracy, in the shape (sample, feature)\n",
+    "x = np.vstack((speed, effort, accuracy)).T\n",
+    "#print(x.shape)\n",
+    "\n",
+    "# covariance of samples\n",
+    "sigma = np.cov(x, rowvar=False)\n",
+    "print('covariance matrix:\\n', sigma)\n",
+    "\n",
+    "print('correlation matrix:\\n', np.corrcoef(x, rowvar=False))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "a89040bc",
+   "metadata": {
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# mean of vector data\n",
+    "m = x.mean(axis=0)\n",
+    "\n",
+    "# principal component\n",
+    "ev, u = np.linalg.eig(sigma)\n",
+    "i_pc = np.argmax(np.abs(ev)) # index of principal (maximum) eigenvalue\n",
+    "pc1 = np.real(u[:,i_pc]) # principal eigenvector\n",
+    "\n",
+    "%matplotlib inline\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,0], x[:,2], marker='.', color='k', label='samples')\n",
+    "plt.arrow(m[0], m[2], pc1[0], pc1[2], width=0.1, color='blue', label='pc1')\n",
+    "plt.legend(fontsize=12)\n",
+    "plt.xlabel('speed')\n",
+    "plt.ylabel('accuracy')\n",
+    "\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,1], x[:,2], marker='.', color='k', label='samples')\n",
+    "plt.arrow(m[1], m[2], pc1[1], pc1[2], width=0.1, color='blue', label='pc1')\n",
+    "plt.legend(fontsize=12)\n",
+    "plt.xlabel('effort')\n",
+    "plt.ylabel('accuracy')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "e66684cf",
+   "metadata": {},
+   "source": [
+    "What about plotting speed against effort???"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "fc0d6790",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,0], x[:,1], marker='.', color='k', label='samples')\n",
+    "plt.arrow(m[0], m[1], pc1[0], pc1[1], width=0.1, color='blue', label='pc1')\n",
+    "plt.legend(fontsize=12)\n",
+    "plt.xlabel('speed')\n",
+    "plt.ylabel('effort')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "c1fbc469",
+   "metadata": {},
+   "source": [
+    "In this case, **all three variables are correlated xxx???**"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "325285bb",
+   "metadata": {},
+   "source": [
+    "## General case\n",
+    "\n",
+    "Principal component analysis is useful to analyze samples that are distributed in a multidimensional space. It provides the direction of maximum variability."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "768804f1",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# number of samples\n",
+    "n = 100\n",
+    "\n",
+    "# dimensionality\n",
+    "d = 5\n",
+    "\n",
+    "# mean of samples\n",
+    "mu = np.zeros([d])\n",
+    "\n",
+    "# covariance of sample distribution\n",
+    "sigma = np.eye(d)\n",
+    "sigma[0,1] = sigma[1,0] = 0.7 *  sigma[0,0] * sigma[1,1]\n",
+    "sigma[0,2] = sigma[2,0] = -0.5 *  sigma[0,0] * sigma[1,1]\n",
+    "\n",
+    "# generator of input samples (normal distribution)\n",
+    "gen_data = stt.multivariate_normal(mu, sigma)\n",
+    "\n",
+    "# select desired digits\n",
+    "x = gen_data.rvs(size=n)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "b517cc8f",
+   "metadata": {},
+   "source": [
+    "We can visualize the data in their original 3-dimension space, with an interactive plot."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "edde06c1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using matplotlib backend: <object object at 0x7f123b3d9030>\n"
+     ]
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Warning: Ignoring XDG_SESSION_TYPE=wayland on Gnome. Use QT_QPA_PLATFORM=wayland to run on Wayland anyway.\n"
+     ]
+    }
+   ],
+   "source": [
+    "d0 = 0\n",
+    "d1 = 1\n",
+    "d2 = 2\n",
+    "\n",
+    "# interactive 3d plot\n",
+    "%matplotlib\n",
+    "plt.ion()\n",
+    "fig = plt.figure()\n",
+    "ax = fig.add_subplot(projection='3d')\n",
+    "\n",
+    "ax.scatter(x[:,d0], x[:,d1], x[:,d2], marker='.', color='k', label='samples')\n",
+    "#ax.arrow(mu[d0], mu[d1], mu[d1], pc1[0], pc1[1], width=0.1, color='blue', label='pc1')\n",
+    "plt.legend(fontsize=12)\n",
+    "ax.set_xlabel('dim '+str(d0))\n",
+    "ax.set_ylabel('dim '+str(d1))\n",
+    "ax.set_zlabel('dim '+str(d2))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "id": "e6ab16e7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# principal components\n",
+    "ev, u = np.linalg.eig(sigma)\n",
+    "i_pc2, i_pc1 = np.argsort(np.abs(ev))[-2:] # index of principal (maximum) eigenvalue\n",
+    "pc1 = np.real(u[:,i_pc1]) # principal eigenvector\n",
+    "pc2 = np.real(u[:,i_pc2]) # second eigenvector\n",
+    "\n",
+    "# dimensions to plot (TO DO: try others)\n",
+    "d0 = 0\n",
+    "d1 = 2\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,d0], x[:,d1], marker='.', color='k', label='samples')\n",
+    "plt.arrow(mu[d0], mu[d1], pc1[d0], pc1[d1], width=0.1, color='blue', label='pc1')\n",
+    "plt.arrow(mu[d0], mu[d1], pc2[d0], pc2[d1], width=0.1, color='red', label='pc2')\n",
+    "plt.legend(fontsize=12)\n",
+    "plt.xlabel('dim '+str(d0))\n",
+    "plt.ylabel('dim '+str(d1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "82d2368b",
+   "metadata": {},
+   "source": [
+    "Depending on the chosen dimensions for the plot, you see pairwise effects. PCA generalizes to multivariate effects. \n",
+    "\n",
+    "It is often used to project the original data in the space of the first components."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "8541a635",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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6CtSK5x9oUUCni4gCgBMCHaCmTZumL774os9td9xxh0Otgdc5fQWa6fObKYkQex4/bRhMLxoAMwIdoHJzc51uAuAaZksiGF2GPpnziS+2saAXrX+ES+BYgQ5QAI4wWxLhs3s/U/vOfkJXgh4rN/JTL5odCJdAYhTSBCDJXFHApuom1d9Vn9bvdfM2Fk5vxeN2Tu/zCLgZAcoC0WhUkUikzxfgNelWGJfUEzrSlD8yX0aXoeaaZjU+06jmmmbXBBKnt+JxM8Il0D8ClAUWLVqkoqKi+FdZWZnTTQIGJFYSob/tV1KGjt6PKwuro6lDteW12lS1SZtnb9amqk2qLa91Re+F01vxuBnhEugfc6AssGDBAv3oRz+K/xyJRAhR8KxUJRHMhIkTrzpRH135kWvnFzm9FY+bmQmXTDLvH/8+/kSAskA4HFY4HE59IOAgMx/i/ZVESDdMjLlrjPb8do+rV+nF5n2l2goniJvBpvs6H/rkUM92QkwyT4hJ+P7FEB4QAE3VTZYNo6WcbC4pf3RPQHP7EFC6876C2FuQzqKCQScMUv1d9UwyT4JJ+P5GgAJ8zuoP8ZShIySd9tBpav/cG/OL0pn3FUTphMukmGTOJPwAIEABPmbXh3g6ocNL84tKZ5Sqor5Ck9dP1vinx2vy+smq2FYR2PAU09/rPGbhGHXu60z+YBf0MDopk0n4bl21ir6YAwX42EC2Z0lXqsnmXptf5PRWPG6V7HX+/PnP03q80z2Mmchk8vdAV3gyZ8o7Ah+gmpub1dXVFf+5u7tbknTw4EHt3bs3fntBQYGGDBmS9fYhuKxYuWP3Mv3+QkdsCKhuZl3PkE/vEBXw+UVek+h19lIP40BkGmQG8u9DVXxvCfwQ3pQpU1RaWhr/2rFjhyRpyZIlfW7/wQ9+4HBLESRWTfq28iQ3kGEF5hf5l5nK9V5jxbxBs/8+zJnynsD3QAFuY+VVqFXDaJlcjaca6oM3+bWHMWWQSbP8htl/HzuH22GPwPdA1dfXyzCMlF8rV650uqkIAKuvQq1Ypm/F1XhsCGj4rOEqqSzx3EkVifmxh9HKCuxm/n2oiu899EABLmLHVWjsQzxhD9KD/fcgWXU1Dv/yWw+j1UEm3X8fv88p8yMCFOAidl2FDvQkx7AC0pFqBaOXtjKxI8iks8LTa6tWQYACXMXOq9CBLNNnWAGZ8tqyfKeCjF/nlPlZ4OdAAW7itpVNDCuYRxHEI7y4lYmT2/v4cU6Zn4UMwwju/26bRCIRFRUVqaWlRYWFhU43Bx4TX4UnJbwKzeYHqdFl9GwUm+JqvGJbBVfG8l5vi53i751kQ8Auf+8kfC3LUs8btIKXhjz9xsz5mwBlAwIUMuXkh3eitrgl0LlZsvITQf13aq5p1qaqTSmPm7x+smvnzxFkgsfM+Zs5UIALuWllUyar+IKC1YrH8sP8Obb3QX8IUIBLuenD20ygC+JVO6sVj33d809k/hz8jQAFIC3pBDq/zwFKFg790NuSiUSve/6ofA06YZA6v+hkWT58iQAFwBJ+3wi1v3AY5NWKyV739t3tR25jWT58iDIGADLm941QUy3H72jqcFX5iWxJZ+7XoBMGKX9U3+DIsnz4AT1QADLm5zlA3e3d+vimj/sNCVt/vFWnPnCqPvo/HwWqtyWd171zX6e+9trX4kOdQZkXB/8jQAHImF/nADVVN+njmz9Wx96O5Ad9GQ7zhuUFbrViuq9nx+cdGj5ruM2tQSaCuPgjUwQo+BYfCNnjxzlASes6JdHe0K7hs4a7pvxENvjxdQ8ivy/+sAsBCr7EB0J2+W0j1H7n9iQRCwluKj9hN7+97kHk98UfdmISOXzHi/tveZ2T+4f1Z6D70qWc29ObTyeIp8OtrzvS4/fFH3YjQMFX+EBwjts2Qm2qblJtea02VW3S5tmbtalqk2rLa9MK0GbnagU5JLjtdUf6zCz+wLEYwoOv+Hk1mBe4ZQuaTIcl0p2zk1eap9N/dXrgQ4JbXnc/snMup18Xf2QLAQq+wgeC85yeA2TFvnQp5/aoJzydt/M85eTTkS85/7r7kd1zOVkEkBn+58NX+ECAFcMSKef2hKTTf3U64Qm2ycZcztiFQtAKwFqF//3wFT4QYFUvJHN7khvo5HykJ1tzOVkEkBmG8OArsQ+Eupl1gaoIjSOs7IVkbs+xKBFiv2zO5YxdKASpAKxVCFDwHT4QMuflIqRW1yZibs8R1AzKjmzP5eRCYWAIUPAlPhAGzus9DPRC2sOKyflIjxNzOblQMI85UPCt2AfC8FnDVVJZwod6GpwuQmrV3BrmL1mPmkHZw1xOb6AHCoAk53sYrO75ohcyc72Hcg98dCCtx1AiJHP0onoDAQqAJGeLkNo1t4ZhiYFLFGjTQYkQazCX0/0IUAAkOVeE1OmeLxwrWaDtFxsHW87OXlQvLxRxCwIUAEnOFSFl+x136TfQJsOwkm3s6EX1+kIRt2ASOQBJzk1c9cr2O0EpHpky0CbA5HzvcHqhiJ/QAwVAknMTV72w/U6QrtjTDaon33myjptwHMM/HsJwubWy3gO1a9cubd++PdtPCyANTiz/d/uS7aBdsacbVEsuoESI11CKwloDDlDr1q3TRRddpJKSEhUWFmrq1Kl64oknUj7unHPO0Ve/+tWBPi0Am5XOKFVFfYUmr5+s8U+P1+T1k1WxrcK2nhY378eVrT3J3MTtgRYD55Xhcq8YUID69a9/rYsuukhr165VS0uL2tra9NZbb+n6669XZWWldu/e3e/jDcM/HzaAH2W7CKlbC18G8YrdzYEWmfHCcLmXmJ4D9cknn+iHP/yhuru7NWLECM2YMUMFBQWqqanRe++9pw0bNqiiokJr167VaaedZkebAfjQ0Uu2807MU0ghtX/eruaaZkfm2QT1ip0aRP5k9T6RQWc6QD3yyCNqb2/XpEmT9Je//EVFRUXx+5577jndcsst2rlzpyorK7Vu3TqNGzfO0gYD8K9Yz1dTdZP+9n//5vik7SBfsVPJ3X+ocG4t00N469atUygU0oMPPtgnPEnSlVdeqdraWp166qlqaGhQVVWV/vd//9eyxgLwPzdN2g76fCD2k/Qftw6Xe1HIMDkhqbCwUIcPH9bBgwc1aFDiDqw9e/boggsu0ObNmzVixAitW7dOZ5xxhiRp5MiR+vzzz9XV1ZV5610qEomoqKhILS0tKiwsdLo5gGcYXYZqy2uTzzv6coihYltF1k7m8arcUsIrdk468CIqkSdm5vxtugcqGo1qyJAhScOTJI0YMUI1NTWaMGGC9uzZo29961v629/+ZvapAASMGydtc8UOP6J3MXOm50CVlpaqoaFBbW1tGjJkSL/HrV+/XpWVldq8ebO+9a1vad26dRk1FoC/ZTJp284rauYDATia6QB15plnqqGhQW+88Ya+/e1v93tsaWmpampq+oSotra2ATcW7kIXMKw20Enb2agUbseeZAC8y/QQ3vnnny/DMPTss8+mdXxpaanWrVun8ePHq6GhQQcOHDDdSLhPU3WTastrtalqkzbP3qxNVZtUW17ru6rMyK7iacXKH9VPiEowadtNk84BBIfpAHXZZZdJkp5//nnt2bMnrccMHz48PicK3scJC3bZ+/u96j7cnfjOBMusg1gp3CpB2RwZsIvpIbxJkybpqaeeUkdHh1pbWzVixIi0Hhcbznv00UfV3Z3kA9Ihra2tWrZsmV588UVt27ZNubm5Ov3003XVVVfp1ltvVX6+/2q8DBSbUcIu8dVuSc7jg44fpHG/HtdnSM7MpHOG346wY8iTIX0EjekyBn7z2WefqbKyUvX19ZKkwYMHq6urS9FozwfLlClTtHbtWpWUpP/h6+cyBs01zdpUtSnlcZPXT+aEdRROMMmlLF+gL8sX1PctX9D4TKM2z96c8vePf3q8hs8abklbvS5pUM2gLEM25qAB2WBrGQM/6erq0mWXXab6+nqNHDlSf/7zn3XgwAEdPHhQzz77rIYOHar3339fV199tdNNdY2gbm2RKeaM9S9lT5Kk6M5jyxcEuVL4QNgx5MmQPoLKkgAViUTSWl3X1tamSCRixVNaYuXKlfrggw8kSS+++KIuvPBCSVJOTo6uvPJKPfbYY5Kk1atXa+3atY610004YZkXhBNMpvNpBhrMg14p3Cyr62wxBw1BlnGAqq6uVklJif75n/855bHXXHONSkpK9PLLL2f6tJZ44oknJElVVVU677zzjrn/qquu0imnnCJJevLJJ7PaNrfihGVOEE4wVvSuDTSYx/b26vnhqIPZ2+sYVvcgu7HwKZAtGQeoF154QZJ0ww03pDz2xhtvlGEYev755zN92owdPHhQf/3rXyVJF198ccJjQqFQvNbVmjVrstY2N+OEZY7fTzBW9a5lEsypFJ4+q3uQGdJHkGUcoN5//31J0tlnn53y2KlTp0qS3nvvvUyfNmObN2+OrwY888wzkx4Xu2/Pnj364osvstI2t+OElT4/n2Cs7F3LNJiXzihVRX2FJq+frPFPj9fk9ZNVsa2C9+JRrO5BZkgfQWa6jMHRdu3apaFDh6q4uDjlscXFxRo6dKh27dqV6dNmbPfu3fHvR40alfS43vft3r1bxx9/vK3t8gq2tkiPn08wVpcQiAXzhKu5Hky9motK4anFgmrdzLqeEJVgc2QzPcixQBbdFU0cpL/c/JkhfX8K+srijANUKBRSR0dH2sd3dnYqFHL+H7i1tTX+/eDBg5Me1/u+3o/pLRqNxsseSHLVRHk7ccJKzc8nGDt61wjm9ss0qPZmdSCDd1C6woIhvLKyMh0+fDi+mq0/mzZt0qFDh/rt8fGiRYsWqaioKP5VVlbmdJMCy23Vlf08Z8yu3jV2ibeflUOeDOkHTxBWFqcj4x6o2EbBd911l6qrq/s9duHChQqFQqqqqsr0aTM2dOjQ+PcHDx5Melzv+3o/prcFCxboRz/6UfznSCRCiHKAW6+IrLzidxM/964FgZU9yPQcBge7URyRcQ/UrbfeqpycHP3+97/XNddco8bGxmOOaWxs1OzZs/X73/9eOTk5+uEPf5jp02bspJNOin/f35ys3vf1fkxv4XBYhYWFfb6QXW6/IvLjJGc/967BPHoOg8HvK4vNyDhAnXHGGbr33ntlGIaeeeYZjRkzRlOnTtXs2bN19dVXa+rUqTr55JP13HPPSZJ+/vOfu2JT4fHjxysnp+ev/+GHHyY9LnbfiBEjmEDuUl6pteTHEwzDN0Cw+HllsVkZD+FJ0u23367CwkLdcccdam1t1VtvvaXa2lpJUmyrvcLCQi1evDitgpvZMHjwYE2dOlUbNmzQq6++qvnz5x9zjGEY+tOf/iRJuuiii7LdRKSJDWWdxfANEBx+XllsliUBSpJuueUWzZo1S6tWrdKbb76pPXv2SJJGjhypb37zm7riiitcN7R13XXXacOGDVq/fr3efvttfeMb3+hz/wsvvKBPP/1UkvS9733PiSYiDft+vy+t44JwReQUVmQCwcDcxyNCRqyLKIA6Ozt11lln6YMPPtCoUaP0xBNP6IILLlB3d7defPFFff/731ckEtHFF1+s//zP/0z795rZzRmZaapuUt1369I6dvL6yZzkkVTQa9oA6YrNOZWUsHSFl4fvzZy/LQ9QdXV12rhxoz7//HNJ0oknnqhzzjlHEydOtPJpLFNfX6+qqirV19dL6hna6+7u1uHDhyVJU6ZM0dq1a1VSkv6JlwCVHUaXodry2v6H76T4FVHFtgpOiEjIrSs4AbdK+H+mzNsriyWHAtQrr7yiBQsW6KOPPkp4/4QJE3TvvffqO9/5jhVPZ6nW1lYtXbpU1dXV2rZtm3JycnT66adr1qxZuvXWW5Wfb24slwCVHc01zdpUtSmtYye+6N0rItgrfjV99CehxVfT9HDBb/z4ns56gLrnnnt09913xyeMDxo0SCeccIIkad++fers7Ox5slBI//7v/66FCxdm+pSuRoDKjsZnGrV59uaUx426bZROe+C0LLQoWPzw4ZmyF9Oi3kt6uABvMHP+zriMwauvvqqFCxfKMAydf/75WrNmjdra2tTQ0KCGhga1tbVpzZo1qqyslGEY+tnPfhZf2QZkIt1VHsOmD7O5JcHTVN2k2vJabarapM2zN2tT1SbVltc6Xm/LrGzUtHF7jTIAA5NxgFq+fLkk6YorrtD69et14YUX9hnyys/P14UXXqi1a9fqiiuukGEY8ccAmbB6Z3mkx0+BwO6aNl6pUQbAvIwD1MaNGxUKhbR8+fJ+NwkOhUJatmyZJOm//uu/Mn1agErYDvBbILC7po2fqza7bd9JINsyDlDt7e0qLi5Oa4Pg0aNHq6SkRB0dHZk+LSCJStjZ5rdAYHcvpl+rNvtlCBfIRMaFNL/61a/qb3/7m9rb21OuVotGo2pra9MZZ5yR6dMCcVTCzh6/BYJYL2bdzLqeEJWgpk0mvZjp9ly1N7ar8ZlGT7x3k61ajA3hcuGCoMi4B2r27Nnq6OjQk08+mfLY3/3ud+ro6NDs2bMzfVqgDz/uM+dGftzGwc5ezJQ9XJKUK22du9UTPTl+G8IFMpFxGYOOjg5dcMEF2rhxox599FFdd911CY978skndfPNN+vrX/+61q5dq0GDLNtFxnX8WMbAD0vWkbn4sv8U2zh4sWipXe/xpFWbk3FxNed0a69R9R9eldU6UPfcc4/a29v1y1/+UpFIRGVlZaqsrNSoUaMUCoW0c+dOvf7669q+fbuKior0L//yL0mH+n76059m0hTX8FuAooYNevPzNg52SfR/SLmSupI8wKVBNN3aa+OfHq/hs4ZnoUWAtbIaoHJycuKr72K/6ujVeMluP1pXV7JPE2/xU4DKVpVmr6Anrodft3GwSqL3iaT4be2N7do6d2vK3+O2nhx6oOB3Zs7fGY+jnX/++SmDEbwp5XyHUM98h2HThwUiRNATd4QXJ+5nK/ym8z5pfKYxrd/ltsn4sTldqYZwqb2GIMg4QNXU1FjQDLiRmSXrfr/aZOXRsWIT970gW+E33feJVyfj271qEfCSjFfhwb/8tmR9oFh55G3Zqpxu5n3i5Sr61F4Devh3KRwy5tWrZKvRE+ceZofhsjkMbfZ94uWeHC8O4QJWI0AhKeY79KAnzh0GMgyXzfBr9n0S68lJ+HfywGR8Lw3hAnYgQCEpp+Y7uG2lGz1xzhvoHLRsht+BvE/oyQG8iwCFfmX7KtmNK93oiXNWJsNw2Qy/A32f0JMDeBOTyJFS6YxSVdRXaPL6yRr/9HhNXj9ZFdsqbAlP2Zjsa1asJ67nh6Pv7PnDzfNVvC6TDYyzOVk70/eJ0WWouaZZjc80qrmmmUUJgMsRoJAWu/eac/tKN1YeZV8sUDS9mF5wTjQMl+3wO9D3SVN1k2rLa7WpapMn9sQDYEElchzLT5XIs8UrFY7dNj/LrxJufZJCf++NbFdON/M+6bfavyGNum2Uhk0fxnsNyIKsViIHrOCVlW7MV7Ff0kCRTBpz0LI9WTvd90k6Pa+7HtylXQ/ucnwuIIC+CFBwBVa6QUoRKBIxMQznxvCbcn5XL0Gueg+4EXOg4AperswMc/qbLG0mUEjen4NmqkfVBXMBARxBDxRcgT22giFVmYp0A8VJPzhJpd8t9fy8INM9qlS9B1yDHii4BivdrOPGJfHplKlIN1CUfrfUltWg2Zay5zUJp+cCAqAHCi5DZebMubEYabrFML+x5RuBKlrab89rP5gL6G6s1g0GAhRcx42Tfb1ioFue2C3dYpgtb7YEbig3WbX/hHwWIP3IjRcwsAdDeIBPuLkYqZkyFW4fyrVjeLR0RqlOfeBU5ZXmJT/IpwHST9y6mwLsQQ8U4BNmtjzJdg+f2TIVbh3Ktat3oam6SR/9n4/6HcKza/9JWCOTPRvhTQQowCfcXIx0IBvtum0o167h0XRqX+WV5ukbW76hnHwGDdzKzRcwsAf/GwGfcHMxUq9vyGzn8Gg6ta86mjrU8maL6d+N7HHzBQzsQYCCL7hx2X62ub0YqdvnNvXHTO+CWZx4/cHNFzCwB0N48DxWvfTwQjFSt85tSsXOkMOJ1x8GMkwNb6MHCp7Gqpe+vNDLE5vbNHzWcM8Uw7Qz5Li95xDp8fowNcwLGYYRvLEOm0UiERUVFamlpUWFhYVON8czzBafM7oM1ZbXJh9a+fKKr2JbReA+tCjkZ634ey1F78JA32vxCepSwp5Dt4RfpJawR7yMFZReYeb8zRAeXGEgw3CseknObSvYvM7u4dFkxTQpXeA9Xh2mhnkEKDhuoMvDmXyLbEoWcvKG5em0X56WccjhxOsfXMAEAwEKjsqk+Fy2J98yLIbSGaUyug198i+fqKOpQ1JPiYGtP9qqUG4o4xDFiRfwDgIUjpHNoJDJMFw2V72w0g9S8orhTu81CCD7CFDoI9tBIZNhuGwt23frBr1eYyaYu7G3j606APRGgEKcE0Eh02E4uyffctK0hplg7tbePhYtAO7glgssAhQkORcUrBiGs3PyLSfNzJkJ5m7u7WPRAuA8N11gUUgTkuzdqqI/VhWfs6s4IyfNzJjZQ87O/easQMVwwFluK5xMgIIkZ4OCm6tnc9LMjJlg7lSITxcVwwHnuPECiyE8SHI+KLi1Bg77W2XGjmDuVG+fF/YaBPzKjdMpAtsDdfDgQa1evVo///nPNWPGDI0ZM0ahUEihUEgLFy50unlZ54arazfukcb+VpkxE8ydDvHpcHNvKeBnbpxOEdgeqHfeeUeXXHKJ081wDa6uk2ObjYEz24Pnhd4+t/aWAn7mxguswAYoSSopKdFZZ50V/5o7d6727NnjdLMcQ1BIjpPmwJgN5l4J8VQMB7LLjdMpAhugpk2bpi+++KLPbXfccYdDrXEPgkJynDQHxkwwJ8QDSMSNoySBDVC5ublON8G1CAqwmplgTogHkIjbLrACG6AAZJeZYE6IB5CImy6wCFAAAMAz3HKBRYCyQDQaVTR6pDsxEok42BoAAGC3wNaBstKiRYtUVFQU/yorK3O6SQAAwEaeCVArV66MF7ocyNerr75qW9sWLFiglpaW+NeOHTtsey4Ej9FlqLmmWY3PNKq5pjkrWxU48ZwA4CUM4VkgHA4rHA6nPhAwyYmdx9202zkAuJVnAtSsWbN06aWXDvjxRUVFFrYGsF9s5/Gji8bFdh63Y+sQJ54TALzIMwGKXh44wegyHFkum3Ln8VDPzuPDpg+zrD1OPCcAeJVnAhSQbU4OZTmx87gbdzvHsZwK9QD6IkABCTg9lOXEzuNu3O0cfTE/DXCPQAeo5uZmdXV1xX/u7u6WJB08eFB79+6N315QUKAhQ4ZkvX1wRqZDWVb0EDix87gbdzvHEU6HegB9hQzDCOz65PLycn322Wcpj7vuuuu0cuXKtH9vJBJRUVGRWlpaVFhYmEEL4YTmmmZtqtqU8rjJ6ycfM5RlVQ+B0WWotrw25c7jFdsqLJ0Dle3nRHrir02yIVZeG8ASZs7fnqkDBWTLQIeyYj0ER5/kYj0ETdVNabchtvN4zw9H39nzh9U7jzvxnEiPmflpALIj0AGqvr5ehmGk/DLT+wTvG8hQVsphP/UM+5kpSBnbeTw8qu/q0/DosG3DNXY9J4U5M8P8NMB9Aj0HCkikeFqxwqPDKYeyiqcVx2+yawWbEzuPW/2cTHzOnBvnp7EaEEFHgAKOEhvKqptZ1zN01TtEJRnKsrOHwImdx616TiY+W2Mgod5OhGIg4EN4QDJmh7Lc2EPgNDuGNYPKTfPTrJzrB3gZPVBAEmaGstzWQ+AGFOa0VizUJ+z5eTA7PT9UqweOIEAB/Uh3KGsgw35+x8Rn6zkxJ643QjFwBAEKsIgbegjchGFNezgxJy6GUAwcQYACLOR0D4GbMKxpH6dWwBGKgSMIUIDFnOwhcBOGNe3h5Ao4QjFwBKvwABfyS+FJJ4qB+pnTK+DctBoQcFqg98KzC3vhIRN+rLFD0cXMuWk/vITv0bJgzvWDv5g5fxOgbECAwkAlKzwZu7qn1ya4Mtnk2g6EYviRmfM3c6AAl6DGDvrjthVwzPVD0DEHCnAJMzV2EDysgAPchQAFuITbehjgLrEVcMdM3o4J9cxDYgUckB0EKMAl6GFAf1gBB7gLAQpwCXoYkAplIQD3YBI54BJ+LjzJii3rUO0ecAcCFOAiftxPz491rZzGCjjAedSBsoFddaC4ig8Ov7zW1LUC4CXUgfIhruKDxQ89DNS1AuBnTCL3AKf3vwIGgrpWAPyMAOVyKa/i1XMV79XNZuFf1LUC4GcEKJfjKh5eRV0rAH5GgHI5ruLhVdS1AuBnBCiX4yoeXtWncnYSXq1rBQAEKJfjKh5eVjqjVGXzyqTco+7IlcrmlbGCFIBnEaBcjv2v4GVN1U3asXSH1HXUHd3SjqU7WEEKwLMIUB7A/lfwIlaQAvAzCml6BPtfwWvMrCD1etFQWMcvVfjhfwQoD/FDdWoEBytIYRY7LsBLGMIDYAtWkMIMdlyA1xCgANiCFaRIF/Pl4EUEKABpMboMNdc0q/GZRjXXNKc8mbGCFOlixwV4EXOgAKQ00LkpsRWkCR/7IPNa0IP5cvAiAhSAfsXmphw9vBKbm5KqlAYrSN3BzavbmC8HLyJAAUgq5dyUUM/clGHTh/V7MmYFqbPcvrotNl8uuiua+L0W6mkv8+XgJsyBApAUc1O8zwur25gvBy8iQAFIirkp3ual1W3suACvYQgPQFLMTfE2r1WDZ74cvIQABSAp5qZ4mxd7EJkvB69gCA9AUsxN8TZ6EAH7EKAA9Iu5Kd5FNXiYLYCL9DGEByAl5qZ4U6wHsW5mXU+I6n3upAfR99xevsLrAtsDtW/fPj3++OO65pprNGHCBB133HEKh8MaPXq0Lr/8cr300ktONxFwldjclOGzhquksoSTrkfQgxhMXihf4XUhwzAC2Z+Xl5enzs7O+M8FBQXKzc3VgQMH4rddfPHFWrVqlQYPHmzqd0ciERUVFamlpUWFhYWWtRkABsrNlchhLaPLUG15bfIVmF8u/qjYVsF74Chmzt+B7YHq7OzUueeeqxUrVmjr1q06dOiQ2tratG3bNt1www2SpNWrV+umm25yuKUAkDl6EIODArjZEdg5UOvWrVNVVdUxt5eXl+s//uM/NGjQID322GN66qmndN9996msrMyBVgIAYI4Xy1d4UWB7oBKFp95ivVCStHHjRrubAwCAJShfkR2BDVCpFBQUxL/v6upysCUAAKSP8hXZQYBKoqamJv79pEmTnGsIAAAmUAA3OwhQCezfv1+LFi2SJE2bNk3jxo1zuEUAAKSP8hX2C+wk8mS6u7t17bXXqqGhQeFwWA8//HDKx0SjUUWjR1Y8RCIRO5sIAEBKFMC1l2d6oFauXKlQKDTgr1dffTWt55kzZ45eeeUVSdKKFSs0efLklI9ZtGiRioqK4l+s2AMAuAHlK+zjmQCVDfPmzdMjjzwiSXrggQd0/fXXp/W4BQsWqKWlJf61Y8cOO5sJAAAc5plK5NFoVK2trQN+fFFRkfLy8pLe/5Of/ERLliyRJC1ZskTz5s0b8HNRiRwA4EZUpO+fmfO3Z+ZAhcNhhcPh1AcOwPz587V06VJJ0uLFizMKTwAAuBGbC1sr8EN48+bN6xOe5s+f73CLAACwFpsLWy/QAWrevHlatmyZJGnp0qWEJwCA7xhdhrbM2SIlmrDz5W1bbtsio8sTM3pcI7AB6vbbb4+Hp+XLl+vHP/6xwy0CAMB6bC5sj0AGqO3bt2vx4sWSpJycHN1///0aMWJE0q/YEB8AAF7D5sL28Mwkcit1d3f3+b6xsbHf49va2uxuEgAAtmBzYXsEMkCVl5fLI9UbAADISGxz4eiuaOJ5UKGe1XhsLmxOIIfwAAAICjYXtgcBCgAAn2NzYesFcggPAICgYXNhaxGgAAAIiNjmwsgcQ3gAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATGIrF8CHjC6D/a4AwEYEKMBnmqqbtGXOFkV3RuO3hUeHNfahsey4DgAWYQgP8JGm6ibVzazrE54kKborqrqZdWqqbnKoZQDgLwQowCeMLkNb5myRjER39vyx5bYtMroSHQAAMIMABfjE/g37j+l56sOQojui2r9hf9baBAB+RYACfKK9od3S4wAAyRGgAJ/IH5lv6XEAgOQIUIBPFE8rVnh0WEpWrSAkhcvCKp5WnM1mAYAvEaAAnwjlhjT2obFf/nD0nT1/jH1wLPWgAMACBCjAR0pnlGriqokKjwr3uT08OqyJqyZSBwoALEIhTcBnSmeUatj0YVQidwhV4IFgIEABPhTKDamkssTpZgQOVeCB4GAIDwAsQBV4IFgIUACQIarAA8FDgAKADFEFHggeAhQAZIgq8EDwEKAAIENUgQeChwAFABmiCjwQPAQoAMgQVeCB4CFAAYAFqAIPBAuFNAHAIlSBB4KDAAUAFqIKPBAMDOEBAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmEQlchsYhiFJikQiDrcEAACkK3bejp3H+0OAskFra6skqayszOGWAAAAs1pbW1VUVNTvMSEjnZgFU7q7u7V7924NHTpUoRCbiCYSiURUVlamHTt2qLCw0OnmwOd4vyGbeL95l2EYam1t1UknnaScnP5nOdEDZYOcnByNHj3a6WZ4QmFhIR8wyBreb8gm3m/elKrnKYZJ5AAAACYRoAAAAEwiQMER4XBYd911l8LhsNNNQQDwfkM28X4LBiaRAwAAmEQPFAAAgEkEKAAAAJMIUAAAACYRoAAAAEwiQMFV9u3bp8cff1zXXHONJkyYoOOOO07hcFijR4/W5ZdfrpdeesnpJsJDWltbtXDhQk2aNElDhgxRUVGRvv71r2vZsmVqb293unnwCT63golVeHCVvLw8dXZ2xn8uKChQbm6uDhw4EL/t4osv1qpVqzR48GAnmgiP+Oyzz1RZWan6+npJ0uDBg9XV1aVoNCpJmjJlitauXauSkhIHWwk/4HMrmOiBgqt0dnbq3HPP1YoVK7R161YdOnRIbW1t2rZtm2644QZJ0urVq3XTTTc53FK4WVdXly677DLV19dr5MiR+vOf/6wDBw7o4MGDevbZZzV06FC9//77uvrqq51uKnyAz61gogcKrrJ+/XpVVVUlvf/mm2/WY489Jknavn27ysrKstU0eMhvf/tbff/735ckvfnmmzrvvPP63P/MM89o9uzZkqTXXntNF1xwQdbbCP/gcyuY6IGCq/T3ISQpfjUnSRs3brS7OfCoJ554QlLP++no8CRJV111lU455RRJ0pNPPpnVtsF/+NwKJgIUPKWgoCD+fVdXl4MtgVsdPHhQf/3rXyX1zDtJJBQK6dvf/rYkac2aNVlrG4KJzy1/IkDBU2pqauLfT5o0ybmGwLU2b96s7u5uSdKZZ56Z9LjYfXv27NEXX3yRlbYhmPjc8icCFDxj//79WrRokSRp2rRpGjdunMMtghvt3r07/v2oUaOSHtf7vt6PAazE55Z/EaDgCd3d3br22mvV0NCgcDishx9+2OkmwaVaW1vj3/e3ZLz3fb0fA1iFzy1/I0AhIytXrlQoFBrw16uvvprW88yZM0evvPKKJGnFihWaPHmynX8tAMgYn1v+RoCC682bN0+PPPKIJOmBBx7Q9ddf73CL4GZDhw6Nf3/w4MGkx/W+r/djACvwueV/g5xuALxt1qxZuvTSSwf8+KKion7v/8lPfqJly5ZJkpYsWaLbbrttwM+FYDjppJPi3+/atUtf+9rXEh63a9euhI8BMsXnVjAQoJCRcDiscDhsy++eP3++li5dKklavHix5s2bZ8vzwF/Gjx+vnJwcdXd368MPP0xayuDDDz+UJI0YMULHH398NpsIH+NzKzgYwoMrzZs3r8+H0Pz58x1uEbxi8ODBmjp1qiQlnWNnGIb+9Kc/SZIuuuiirLUN/sbnVrAQoOA68+bNi3d/L126lA8hmHbddddJ6tli4+233z7m/hdeeEGffvqpJOl73/teVtsGf+JzK3gIUHCV22+/Pf4htHz5cv34xz92uEXwouuuu06TJk2SYRj67ne/q7Vr10rqWVb+wgsv6MYbb5TUU6mcffCQKT63gonNhOEa27dv15gxYyRJOTk5Ki0t7ff4efPmMb8ASdXX16uqqkr19fWSeob2uru7dfjwYUnSlClTtHbtWpWUlDjYSngdn1vBxSRyuEZs+43Y942Njf0e39bWZneT4GHl5eX6n//5Hy1dulTV1dXatm2b8vLyNHHiRM2aNUu33nqr8vPznW4mPI7PreCiBwoAAMAk5kABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJhGgAAAATCJAAQAAmESAAgAAMIm98ADABvX19XrjjTf07rvv6r333tP777+v1tZWSdK2bdtUXl7ubAMBZIQABQA2WLhwoZ544gmnmwHAJgQoALBBTk6OTj31VJ111lk6++yzZRiGFixY4HSzAFiEAAUANvjNb36j3Nzc+M81NTXONQaA5ZhEDsD3KisrFQqFtHDhQrW3t+sXv/iFvva1r+m4445TSUmJ/v7v/16rV6/u93ds3rxZ//qv/6oJEyZo6NChGjJkiMaNG6errrpKL774orq7u/sc3zs8AfAfeqAABEZ7e7suvPBCbdiwQYMGDdKQIUO0f/9+vfbaa3rttdd01113aeHChcc87v7779e//du/xUNSQUGB8vLy9PHHH+vjjz/Wc889p+bmZhUXF2f3LwTAMfRAAQiMFStW6J133tGvfvUrtba2qrm5Wdu3b9fMmTMlSXfffbdefvnlPo959NFHdccdd6i7u1vf+c539P777+vQoUOKRCLat2+f1qxZoyuvvFI5OXycAkESMgzDcLoRAGCnyspKvf7665Kk3/72t7r++uv73N/d3a2qqir95S9/0YQJE1RXVydJam5u1pgxY9Ta2qqrrrpKTz/9tEKh0IDaUFNTo6qqKkmUMQD8gEsmAIFRVlamf/qnfzrm9pycHN15552SpI8++kgffPCBJGnVqlVqbW1VXl6eli9fPuDwBMB/CFAAAiM2mTyR888/X4MG9UwL3bhxoyTpzTfflCSdffbZGjlyZHYaCcATCFAAAmPUqFFJ7wuHwzrhhBMkSZ9//rkkac+ePZKkMWPG2N84AJ5CgAIQGAMdgmPoDsDRCFAAAmPnzp1J74tGo9q3b58k6cQTT5Sk+LBdfX297W0D4C0EKACB8frrryvZwuMNGzaos7NTknTOOedIkr75zW9K6pkT1dDQkJ1GAvAEAhSAwNi+fXvCDX67u7t13333SZLGjx+vSZMmSZKuuOIKFRYWqrOzU3Pnzk0avgAEDwEKQGAUFRXplltu0W9+8xsdPnxYkrRjxw7NmjVL69evlyTde++9fY5fvHixJOm5557TP/7jP+q///u/4/c3Nzfrj3/8o6ZPn65IJNLnuTo6OrR37974V0tLS5/H9b6vo6PDrr8yAJtQSBOA78UKaS5YsEAbNmzQG2+8oby8PA0ZMkTNzc3x4+6880797Gc/O+bxixYt0p133hnfyuUrX/mKBg0apNbW1vgxR2/l0rtwZirr169XZWXlwP5yABxBDxSAwMjPz9fatWt13333ady4cYpGoyoqKtIFF1ygP/7xjwnDkyQtWLBAmzZt0o033qixY8dKkgzD0Lhx4zRr1ixVV1ersLAwm38VAA6jBwqA78V6oJJtFgwAZtEDBQAAYBIBCgAAwCQCFAAAgEkEKAAAAJOYRA4AAGASPVAAAAAmEaAAAABMIkABAACYRIACAAAwiQAFAABgEgEKAADAJAIUAACASQQoAAAAkwhQAAAAJv1/jsuQiFDh2JYAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "from sklearn import decomposition\n",
+    "\n",
+    "# scikit-learn version of PCA\n",
+    "pca = decomposition.PCA(n_components=2)\n",
+    "x_pca = pca.fit_transform(x)\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x_pca[:,0], x_pca[:,1], color='m', label='pca')\n",
+    "plt.xlabel('pc1')\n",
+    "plt.ylabel('pc2')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19dbeca8",
+   "metadata": {},
+   "source": [
+    "## What about nonlinear manifold?\n",
+    "\n",
+    "Adapted from https://scikit-learn.org/stable/auto_examples/manifold/plot_compare_methods.html#sphx-glr-auto-examples-manifold-plot-compare-methods-py"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "03e6ea57",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using matplotlib backend: QtAgg\n"
+     ]
+    }
+   ],
+   "source": [
+    "from sklearn import manifold, datasets\n",
+    "\n",
+    "n_samples = 1500\n",
+    "x, x_color = datasets.make_s_curve(n_samples, random_state=0)\n",
+    "\n",
+    "def plot_3d(points, points_color):\n",
+    "    x, y, z = points.T\n",
+    "\n",
+    "    %matplotlib\n",
+    "    fig, ax = plt.subplots(\n",
+    "        figsize=(6, 6),\n",
+    "        facecolor=\"white\",\n",
+    "        tight_layout=True,\n",
+    "        subplot_kw={\"projection\": \"3d\"},\n",
+    "    )\n",
+    "    col = ax.scatter(x, y, z, c=points_color, s=50, alpha=0.8)\n",
+    "    ax.view_init(azim=-60, elev=9)\n",
+    "#    ax.xaxis.set_major_locator(ticker.MultipleLocator(1))\n",
+    "#    ax.yaxis.set_major_locator(ticker.MultipleLocator(1))\n",
+    "#    ax.zaxis.set_major_locator(ticker.MultipleLocator(1))\n",
+    "\n",
+    "    fig.colorbar(col, ax=ax, orientation=\"horizontal\", shrink=0.6, aspect=60, pad=0.01)\n",
+    "    plt.show()\n",
+    "    \n",
+    "\n",
+    "plot_3d(x, x_color)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "3304fe28",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 600x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# sample mean\n",
+    "m = x.mean(axis=0)\n",
+    "\n",
+    "# principal components\n",
+    "ev, u = np.linalg.eig(np.cov(x, rowvar=False))\n",
+    "i_pc2, i_pc1 = np.argsort(np.abs(ev))[-2:] # index of principal (maximum) eigenvalue\n",
+    "pc1 = np.real(u[:,i_pc1]) # principal eigenvector\n",
+    "pc2 = np.real(u[:,i_pc2]) # second eigenvector\n",
+    "\n",
+    "# dimensions to plot (TO DO: try others)\n",
+    "d0 = 0\n",
+    "d1 = 2\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x[:,d0], x[:,d1], marker='.', c=x_color, label='samples')\n",
+    "plt.arrow(m[d0], m[d1], pc1[d0], pc1[d1], width=0.1, color='blue', label='pc1')\n",
+    "plt.arrow(m[d0], m[d1], pc2[d0], pc2[d1], width=0.1, color='red', label='pc2')\n",
+    "plt.xlabel('dim '+str(d0))\n",
+    "plt.ylabel('dim '+str(d1))\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "id": "dbbefb34",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# scikit-learn version of PCA\n",
+    "pca = decomposition.PCA(n_components=2)\n",
+    "x_pca = pca.fit_transform(x)\n",
+    "\n",
+    "%matplotlib inline\n",
+    "plt.figure()\n",
+    "plt.scatter(x_pca[:,0], x_pca[:,1], color='m', label='pca')\n",
+    "plt.xlabel('pc1')\n",
+    "plt.ylabel('pc2')\n",
+    "\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6e37b0e6",
+   "metadata": {},
+   "source": [
+    "## Exercices\n",
+    "\n",
+    "- check other synthetic datasets from scikit-learn: https://scikit-learn.org/stable/datasets/sample_generators.html#generators-for-classification-and-clustering\n",
+    "- check fMRI dataset and spike train dataset"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/unsup_lrn/scikitlearn_comparison_clustering.ipynb b/unsup_lrn/scikitlearn_comparison_clustering.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..3d22bbe6a2579c8988fa454331418734b8c07082
--- /dev/null
+++ b/unsup_lrn/scikitlearn_comparison_clustering.ipynb
@@ -0,0 +1,329 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "# Comparing different clustering algorithms on toy datasets\n",
+    "\n",
+    "This example shows characteristics of different\n",
+    "clustering algorithms on datasets that are \"interesting\"\n",
+    "but still in 2D. With the exception of the last dataset,\n",
+    "the parameters of each of these dataset-algorithm pairs\n",
+    "has been tuned to produce good clustering results. Some\n",
+    "algorithms are more sensitive to parameter values than\n",
+    "others.\n",
+    "\n",
+    "The last dataset is an example of a 'null' situation for\n",
+    "clustering: the data is homogeneous, and there is no good\n",
+    "clustering. For this example, the null dataset uses the\n",
+    "same parameters as the dataset in the row above it, which\n",
+    "represents a mismatch in the parameter values and the\n",
+    "data structure.\n",
+    "\n",
+    "While these examples give some intuition about the\n",
+    "algorithms, this intuition might not apply to very high\n",
+    "dimensional data.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 2100x1300 with 60 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import time\n",
+    "import warnings\n",
+    "\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "from sklearn import cluster, datasets, mixture\n",
+    "from sklearn.neighbors import kneighbors_graph\n",
+    "from sklearn.preprocessing import StandardScaler\n",
+    "from itertools import cycle, islice\n",
+    "\n",
+    "np.random.seed(0)\n",
+    "\n",
+    "# ============\n",
+    "# Generate datasets. We choose the size big enough to see the scalability\n",
+    "# of the algorithms, but not too big to avoid too long running times\n",
+    "# ============\n",
+    "n_samples = 500\n",
+    "noisy_circles = datasets.make_circles(n_samples=n_samples, factor=0.5, noise=0.05)\n",
+    "noisy_moons = datasets.make_moons(n_samples=n_samples, noise=0.05)\n",
+    "blobs = datasets.make_blobs(n_samples=n_samples, random_state=8)\n",
+    "no_structure = np.random.rand(n_samples, 2), None\n",
+    "\n",
+    "# Anisotropicly distributed data\n",
+    "random_state = 170\n",
+    "X, y = datasets.make_blobs(n_samples=n_samples, random_state=random_state)\n",
+    "transformation = [[0.6, -0.6], [-0.4, 0.8]]\n",
+    "X_aniso = np.dot(X, transformation)\n",
+    "aniso = (X_aniso, y)\n",
+    "\n",
+    "# blobs with varied variances\n",
+    "varied = datasets.make_blobs(\n",
+    "    n_samples=n_samples, cluster_std=[1.0, 2.5, 0.5], random_state=random_state\n",
+    ")\n",
+    "\n",
+    "# ============\n",
+    "# Set up cluster parameters\n",
+    "# ============\n",
+    "plt.figure(figsize=(9 * 2 + 3, 13))\n",
+    "plt.subplots_adjust(\n",
+    "    left=0.02, right=0.98, bottom=0.001, top=0.95, wspace=0.05, hspace=0.01\n",
+    ")\n",
+    "\n",
+    "plot_num = 1\n",
+    "\n",
+    "default_base = {\n",
+    "    \"quantile\": 0.3,\n",
+    "    \"eps\": 0.3,\n",
+    "    \"damping\": 0.9,\n",
+    "    \"preference\": -200,\n",
+    "    \"n_neighbors\": 3,\n",
+    "    \"n_clusters\": 3,\n",
+    "    \"min_samples\": 7,\n",
+    "    \"xi\": 0.05,\n",
+    "    \"min_cluster_size\": 0.1,\n",
+    "}\n",
+    "\n",
+    "datasets = [\n",
+    "    (\n",
+    "        noisy_circles,\n",
+    "        {\n",
+    "            \"damping\": 0.77,\n",
+    "            \"preference\": -240,\n",
+    "            \"quantile\": 0.2,\n",
+    "            \"n_clusters\": 2,\n",
+    "            \"min_samples\": 7,\n",
+    "            \"xi\": 0.08,\n",
+    "        },\n",
+    "    ),\n",
+    "    (\n",
+    "        noisy_moons,\n",
+    "        {\n",
+    "            \"damping\": 0.75,\n",
+    "            \"preference\": -220,\n",
+    "            \"n_clusters\": 2,\n",
+    "            \"min_samples\": 7,\n",
+    "            \"xi\": 0.1,\n",
+    "        },\n",
+    "    ),\n",
+    "    (\n",
+    "        varied,\n",
+    "        {\n",
+    "            \"eps\": 0.18,\n",
+    "            \"n_neighbors\": 2,\n",
+    "            \"min_samples\": 7,\n",
+    "            \"xi\": 0.01,\n",
+    "            \"min_cluster_size\": 0.2,\n",
+    "        },\n",
+    "    ),\n",
+    "    (\n",
+    "        aniso,\n",
+    "        {\n",
+    "            \"eps\": 0.15,\n",
+    "            \"n_neighbors\": 2,\n",
+    "            \"min_samples\": 7,\n",
+    "            \"xi\": 0.1,\n",
+    "            \"min_cluster_size\": 0.2,\n",
+    "        },\n",
+    "    ),\n",
+    "    (blobs, {\"min_samples\": 7, \"xi\": 0.1, \"min_cluster_size\": 0.2}),\n",
+    "    (no_structure, {}),\n",
+    "]\n",
+    "\n",
+    "for i_dataset, (dataset, algo_params) in enumerate(datasets):\n",
+    "    # update parameters with dataset-specific values\n",
+    "    params = default_base.copy()\n",
+    "    params.update(algo_params)\n",
+    "\n",
+    "    X, y = dataset\n",
+    "\n",
+    "    # normalize dataset for easier parameter selection\n",
+    "    X = StandardScaler().fit_transform(X)\n",
+    "\n",
+    "    # estimate bandwidth for mean shift\n",
+    "    bandwidth = cluster.estimate_bandwidth(X, quantile=params[\"quantile\"])\n",
+    "\n",
+    "    # connectivity matrix for structured Ward\n",
+    "    connectivity = kneighbors_graph(\n",
+    "        X, n_neighbors=params[\"n_neighbors\"], include_self=False\n",
+    "    )\n",
+    "    # make connectivity symmetric\n",
+    "    connectivity = 0.5 * (connectivity + connectivity.T)\n",
+    "\n",
+    "    # ============\n",
+    "    # Create cluster objects\n",
+    "    # ============\n",
+    "    ms = cluster.MeanShift(bandwidth=bandwidth, bin_seeding=True)\n",
+    "    two_means = cluster.MiniBatchKMeans(n_clusters=params[\"n_clusters\"], n_init=\"auto\")\n",
+    "    ward = cluster.AgglomerativeClustering(\n",
+    "        n_clusters=params[\"n_clusters\"], linkage=\"ward\", connectivity=connectivity\n",
+    "    )\n",
+    "    spectral = cluster.SpectralClustering(\n",
+    "        n_clusters=params[\"n_clusters\"],\n",
+    "        eigen_solver=\"arpack\",\n",
+    "        affinity=\"nearest_neighbors\",\n",
+    "    )\n",
+    "    dbscan = cluster.DBSCAN(eps=params[\"eps\"])\n",
+    "    optics = cluster.OPTICS(\n",
+    "        min_samples=params[\"min_samples\"],\n",
+    "        xi=params[\"xi\"],\n",
+    "        min_cluster_size=params[\"min_cluster_size\"],\n",
+    "    )\n",
+    "    affinity_propagation = cluster.AffinityPropagation(\n",
+    "        damping=params[\"damping\"], preference=params[\"preference\"], random_state=0\n",
+    "    )\n",
+    "    average_linkage = cluster.AgglomerativeClustering(\n",
+    "        linkage=\"average\",\n",
+    "        metric=\"cityblock\",\n",
+    "        n_clusters=params[\"n_clusters\"],\n",
+    "        connectivity=connectivity,\n",
+    "    )\n",
+    "    birch = cluster.Birch(n_clusters=params[\"n_clusters\"])\n",
+    "    gmm = mixture.GaussianMixture(\n",
+    "        n_components=params[\"n_clusters\"], covariance_type=\"full\"\n",
+    "    )\n",
+    "\n",
+    "    clustering_algorithms = (\n",
+    "        (\"MiniBatch\\nKMeans\", two_means),\n",
+    "        (\"Affinity\\nPropagation\", affinity_propagation),\n",
+    "        (\"MeanShift\", ms),\n",
+    "        (\"Spectral\\nClustering\", spectral),\n",
+    "        (\"Ward\", ward),\n",
+    "        (\"Agglomerative\\nClustering\", average_linkage),\n",
+    "        (\"DBSCAN\", dbscan),\n",
+    "        (\"OPTICS\", optics),\n",
+    "        (\"BIRCH\", birch),\n",
+    "        (\"Gaussian\\nMixture\", gmm),\n",
+    "    )\n",
+    "\n",
+    "    for name, algorithm in clustering_algorithms:\n",
+    "        t0 = time.time()\n",
+    "\n",
+    "        # catch warnings related to kneighbors_graph\n",
+    "        with warnings.catch_warnings():\n",
+    "            warnings.filterwarnings(\n",
+    "                \"ignore\",\n",
+    "                message=\"the number of connected components of the \"\n",
+    "                + \"connectivity matrix is [0-9]{1,2}\"\n",
+    "                + \" > 1. Completing it to avoid stopping the tree early.\",\n",
+    "                category=UserWarning,\n",
+    "            )\n",
+    "            warnings.filterwarnings(\n",
+    "                \"ignore\",\n",
+    "                message=\"Graph is not fully connected, spectral embedding\"\n",
+    "                + \" may not work as expected.\",\n",
+    "                category=UserWarning,\n",
+    "            )\n",
+    "            algorithm.fit(X)\n",
+    "\n",
+    "        t1 = time.time()\n",
+    "        if hasattr(algorithm, \"labels_\"):\n",
+    "            y_pred = algorithm.labels_.astype(int)\n",
+    "        else:\n",
+    "            y_pred = algorithm.predict(X)\n",
+    "\n",
+    "        plt.subplot(len(datasets), len(clustering_algorithms), plot_num)\n",
+    "        if i_dataset == 0:\n",
+    "            plt.title(name, size=18)\n",
+    "\n",
+    "        colors = np.array(\n",
+    "            list(\n",
+    "                islice(\n",
+    "                    cycle(\n",
+    "                        [\n",
+    "                            \"#377eb8\",\n",
+    "                            \"#ff7f00\",\n",
+    "                            \"#4daf4a\",\n",
+    "                            \"#f781bf\",\n",
+    "                            \"#a65628\",\n",
+    "                            \"#984ea3\",\n",
+    "                            \"#999999\",\n",
+    "                            \"#e41a1c\",\n",
+    "                            \"#dede00\",\n",
+    "                        ]\n",
+    "                    ),\n",
+    "                    int(max(y_pred) + 1),\n",
+    "                )\n",
+    "            )\n",
+    "        )\n",
+    "        # add black color for outliers (if any)\n",
+    "        colors = np.append(colors, [\"#000000\"])\n",
+    "        plt.scatter(X[:, 0], X[:, 1], s=10, color=colors[y_pred])\n",
+    "\n",
+    "        plt.xlim(-2.5, 2.5)\n",
+    "        plt.ylim(-2.5, 2.5)\n",
+    "        plt.xticks(())\n",
+    "        plt.yticks(())\n",
+    "        plt.text(\n",
+    "            0.99,\n",
+    "            0.01,\n",
+    "            (\"%.2fs\" % (t1 - t0)).lstrip(\"0\"),\n",
+    "            transform=plt.gca().transAxes,\n",
+    "            size=15,\n",
+    "            horizontalalignment=\"right\",\n",
+    "        )\n",
+    "        plot_num += 1\n",
+    "\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.11.3"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/unsup_lrn/scikitlearn_ica_blind_source_separation.ipynb b/unsup_lrn/scikitlearn_ica_blind_source_separation.ipynb
new file mode 100644
index 0000000000000000000000000000000000000000..170eb870e2f8f20a0f8b9be4587ddd1e8a581b6f
--- /dev/null
+++ b/unsup_lrn/scikitlearn_ica_blind_source_separation.ipynb
@@ -0,0 +1,183 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "\n",
+    "# Blind source separation using FastICA\n",
+    "\n",
+    "An example of estimating sources from noisy data.\n",
+    "\n",
+    "`ICA` is used to estimate sources given noisy measurements.\n",
+    "Imagine 3 instruments playing simultaneously and 3 microphones\n",
+    "recording the mixed signals. ICA is used to recover the sources\n",
+    "ie. what is played by each instrument. Importantly, PCA fails\n",
+    "at recovering our `instruments` since the related signals reflect\n",
+    "non-Gaussian processes.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Generate sample data\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "from scipy import signal\n",
+    "\n",
+    "np.random.seed(0)\n",
+    "n_samples = 2000\n",
+    "time = np.linspace(0, 8, n_samples)\n",
+    "\n",
+    "s1 = np.sin(2 * time)  # Signal 1 : sinusoidal signal\n",
+    "s2 = np.sign(np.sin(3 * time))  # Signal 2 : square signal\n",
+    "s3 = signal.sawtooth(2 * np.pi * time)  # Signal 3: saw tooth signal\n",
+    "\n",
+    "S = np.c_[s1, s2, s3]\n",
+    "S += 0.2 * np.random.normal(size=S.shape)  # Add noise\n",
+    "\n",
+    "S /= S.std(axis=0)  # Standardize data\n",
+    "# Mix data\n",
+    "A = np.array([[1, 1, 1], [0.5, 2, 1.0], [1.5, 1.0, 2.0]])  # Mixing matrix\n",
+    "X = np.dot(S, A.T)  # Generate observations"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Fit ICA and PCA models\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "from sklearn.decomposition import FastICA, PCA\n",
+    "\n",
+    "# Compute ICA\n",
+    "ica = FastICA(n_components=3, whiten=\"arbitrary-variance\")\n",
+    "S_ = ica.fit_transform(X)  # Reconstruct signals\n",
+    "A_ = ica.mixing_  # Get estimated mixing matrix\n",
+    "\n",
+    "# We can `prove` that the ICA model applies by reverting the unmixing.\n",
+    "assert np.allclose(X, np.dot(S_, A_.T) + ica.mean_)\n",
+    "\n",
+    "# For comparison, compute PCA\n",
+    "pca = PCA(n_components=3)\n",
+    "H = pca.fit_transform(X)  # Reconstruct signals based on orthogonal components"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Plot results\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "plt.figure()\n",
+    "\n",
+    "models = [X, S, S_, H]\n",
+    "names = [\n",
+    "    \"Observations (mixed signal)\",\n",
+    "    \"True Sources\",\n",
+    "    \"ICA recovered signals\",\n",
+    "    \"PCA recovered signals\",\n",
+    "]\n",
+    "colors = [\"red\", \"steelblue\", \"orange\"]\n",
+    "\n",
+    "for ii, (model, name) in enumerate(zip(models, names), 1):\n",
+    "    plt.subplot(4, 1, ii)\n",
+    "    plt.title(name)\n",
+    "    for sig, color in zip(model.T, colors):\n",
+    "        plt.plot(sig, color=color)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.10.10"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}