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@sl8r000
Last active May 9, 2016 17:38
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{
"cells": [
{
"cell_type": "code",
"execution_count": 43,
"metadata": {
"collapsed": false
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Populating the interactive namespace from numpy and matplotlib\n"
]
},
{
"name": "stderr",
"output_type": "stream",
"text": [
"WARNING: pylab import has clobbered these variables: ['copy']\n",
"`%matplotlib` prevents importing * from pylab and numpy\n"
]
}
],
"source": [
"import numpy as np\n",
"import pandas as pd\n",
"import seaborn as sns\n",
"\n",
"%pylab inline\n",
"sns.set_style('darkgrid')"
]
},
{
"cell_type": "code",
"execution_count": 44,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": [
"term_sheet = {\n",
" 'money_in': 5 # In $ millions. The amount of cash invested by the VC.\n",
" , 'post_money_valuation': 15 # In $ millions. Valuation after cash investment.\n",
" , 'liquidation_preference': 1.0 # As a multiple. E.g., 1x means 'money_in' is returned 100%.\n",
" , 'is_participating': False # Does the stock participate?\n",
" , 'participation_cap': 3 # If so, is there a participation cap?\n",
"}\n",
"\n",
"# For example, say that we raise $5M at a $10M pre-money (so a $15M post-money) valuation, with a 1x liquidation\n",
"# liquidation preference and fully participating stock with no cap. Then we'd fill out the term sheet as:\n",
"# term_sheet = {\n",
"# 'money_in': 5\n",
"# , 'post_money_valuation': 15\n",
"# , 'liquidation_preference': 1\n",
"# , 'is_participating': True\n",
"# , 'participation_cap': None\n",
"# }"
]
},
{
"cell_type": "code",
"execution_count": 45,
"metadata": {
"collapsed": false
},
"outputs": [],
"source": [
"# Given an exit amount, what fraction of the exit will go to investors?\n",
"def outcome_percent(term_sheet, exit_amount):\n",
" preferred_payout = term_sheet['liquidation_preference']*term_sheet['money_in']\n",
"\n",
" if exit_amount <= preferred_payout:\n",
" return 1.0\n",
" else:\n",
" if not term_sheet['is_participating']:\n",
" # Investors will choose to convert preferred stock to common if the payout is higher\n",
" common_stock_conversion = (1.0*term_sheet['money_in']/term_sheet['post_money_valuation'])*exit_amount\n",
" choice = max([common_stock_conversion, preferred_payout])\n",
" return choice/(1.0*exit_amount)\n",
" else:\n",
" preferred_remainder = exit_amount - preferred_payout \n",
" participating_payout = preferred_remainder*(1.0*term_sheet['money_in']/term_sheet['post_money_valuation'])\n",
" if term_sheet['participation_cap'] is None:\n",
" return (preferred_payout + participating_payout)/(1.0*exit_amount)\n",
" else:\n",
" cumulative_payout = participating_payout + preferred_payout\n",
" if cumulative_payout <= term_sheet['money_in']*term_sheet['participation_cap']:\n",
" return cumulative_payout/(1.0*exit_amount)\n",
" else:\n",
" cumulative_payout = term_sheet['money_in']*term_sheet['participation_cap']\n",
" # Investors will choose to convert preferred stock to common if the payout is higher\n",
" common_stock_conversion = (1.0*term_sheet['money_in']/term_sheet['post_money_valuation'])*exit_amount\n",
" choice = max([cumulative_payout, common_stock_conversion])\n",
" return choice/(1.0*exit_amount)\n",
" \n",
"# if term_sheet['is_participating']:\n",
"# participation_cap = np.inf if term_sheet['participation_cap'] is None else term_sheet['participation_cap']\n",
"# participating_dollar_cap = participation_cap*term_sheet['post_money_valuation']\n",
"# else:\n",
"# participating_dollar_cap = 0\n",
" \n",
"# if exit_amount <= preferred_payout:\n",
"# return 1.0\n",
"# else:\n",
"# preferred_remainder = exit_amount - preferred_payout\n",
"# participating_payout = preferred_remainder*(1.0*term_sheet['money_in']/term_sheet['post_money_valuation'])\n",
"\n",
"# if exit_amount <= participating_dollar_cap:\n",
"# return (preferred_payout + participating_payout)/(1.0*exit_amount)\n",
"# else:\n",
"# return (1.0*term_sheet['money_in'])/(term_sheet['post_money_valuation'])"
]
},
{
"cell_type": "code",
"execution_count": 46,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
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evZBIJOjQoQMmTJiA+++/X+yIREQOZbOMBgUFISkpyWYRLS8vx5o1azBnzhynhWsJqUSC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\nE4tVAAAAAElFTkSuQmCC\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10c81ab90>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"# Visualize the term sheet from a 0 exit to a 10x exit.\n",
"def visualize(term_sheet):\n",
" plt.subplot(221)\n",
" scenarios = np.linspace(0, term_sheet['post_money_valuation']*10, 1000)\n",
" outcomes = [outcome_percent(term_sheet, x) for x in scenarios]\n",
" plt.plot(scenarios, outcomes)\n",
" plt.ylim(0, 1)\n",
" plt.xlim(scenarios.min(), scenarios.max())\n",
" plt.xlabel('Exit Amount ($M)')\n",
" plt.ylabel('VC Share of Exit Amount (\\%)')\n",
" \n",
" plt.subplot(222)\n",
" plt.plot(scenarios, outcomes*scenarios)\n",
" plt.ylim(0, scenarios.max())\n",
" plt.xlim(scenarios.min(), scenarios.max())\n",
" plt.xlabel('Exit Amount ($M)')\n",
" plt.ylabel('VC Share of Exit Amount ($)')\n",
" \n",
" plt.tight_layout()\n",
" plt.gcf().set_size_inches(10, 10)\n",
" \n",
"visualize(term_sheet)"
]
},
{
"cell_type": "code",
"execution_count": 47,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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bb70Vl8t1QcOXltY6L+Yxnrui3mK1YwqtWcopIbkDOsMWygsqsNvtfltfVQgR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\nmp1wdF1sHqLWKpFg1EBv0ECjU0b871u/xSinicJ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bcnNzQ1+fPn06nC9PREQ06gQCAbTX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\nSUVORK5CYII=\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10bddef50>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"import copy\n",
"\n",
"def percent_subplot(term_sheet):\n",
" plt.subplot(221)\n",
" scenarios = np.linspace(0, term_sheet['post_money_valuation']*5, 1000)\n",
" outcomes = [outcome_percent(term_sheet, x) for x in scenarios]\n",
" plt.plot(scenarios, outcomes, alpha=0.5)\n",
" plt.ylim(0, 1)\n",
" plt.xlim(scenarios.min(), scenarios.max())\n",
" plt.xlabel('Exit Amount ($M)')\n",
" plt.ylabel('VC Share of Exit Amount (\\%)')\n",
" \n",
"def dollar_subplot(term_sheet):\n",
" scenarios = np.linspace(0, term_sheet['post_money_valuation']*5, 1000)\n",
" outcomes = [outcome_percent(term_sheet, x) for x in scenarios]\n",
" plt.subplot(222)\n",
" plt.plot(scenarios, outcomes*scenarios, alpha=0.5)\n",
" plt.ylim(0, scenarios.max())\n",
" plt.xlim(scenarios.min(), scenarios.max())\n",
" plt.xlabel('Exit Amount ($M)')\n",
" plt.ylabel('VC Share of Exit Amount ($)')\n",
"\n",
"# Visualize different stock participation rights scenarios\n",
"def visualize_different_participations(term_sheet):\n",
" term_sheet = copy.copy(term_sheet)\n",
" \n",
" term_sheet['is_participating'] = False\n",
" percent_subplot(term_sheet)\n",
" dollar_subplot(term_sheet)\n",
" \n",
" term_sheet['is_participating'] = True\n",
" term_sheet['participation_cap'] = 2\n",
" percent_subplot(term_sheet)\n",
" dollar_subplot(term_sheet)\n",
"\n",
" term_sheet['participation_cap'] = 3\n",
" percent_subplot(term_sheet)\n",
" dollar_subplot(term_sheet)\n",
" \n",
" term_sheet['participation_cap'] = None\n",
" percent_subplot(term_sheet)\n",
" dollar_subplot(term_sheet)\n",
" \n",
" plt.subplot(221)\n",
" plt.legend(('No Participation', '2x Cap', '3x Cap', 'No Cap'))\n",
" plt.subplot(222)\n",
" plt.legend(('No Participation', '2x Cap', '3x Cap', 'No Cap'))\n",
" plt.tight_layout()\n",
" plt.gcf().set_size_inches(10, 10)\n",
" \n",
"visualize_different_participations(term_sheet)"
]
},
{
"cell_type": "code",
"execution_count": 48,
"metadata": {
"collapsed": false
},
"outputs": [
{
"data": {
"image/png": 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7d+bKlRsMH/4GGo2GzMxMpkyZhYuLC506dWby5HGULu1F9eo1uXs3EgArK2tm\nzZpKVFQU9erVp1mzlpw5c5rQ0H8ZM2Y4qanJjBs3GWdnF3r16svIkW+SkZFJmTLeBAR04vXXBzNz\n5hR27dqu/1o3l3c3163/+197Fiz4gvXrf6BmzdrExd3L8fiyZctx6ZLuvcry0kvdmT17BiNHDkGr\n1TJ69Ltcvnwx2/ONGxdEXFws7dt3pGLFSnTs+EKur7927brMmjWFsWMn6veeOXMmEyeORalU4ujo\nyKRJ07h06WKOGTghihpjjcmP/3zLmPxsY3K7dh2IirorY3IBx+T3359UKGOyQmvoe4oiKj99W6ev\nRjNn7b90a1WRl1pU1G+f8fccEtIS+KTVNJPlK6kLcT9u5cplBbpWvLEyFjTHkzyacdSooXz44SdG\nOTs5JiaGrVtD6N9/YIGP9Szv44ABvVi9+sds21asWErlylVo3Tp/S/M9DVP/PIaH3+aLLz7h44+/\neOZjGDtjcbiiVX7JeFdwRX1MNmY+U43Jj2csimPys76PhTkmF8bPYkHH5MK8mIhFtls8XAIu+/S/\nk5UDiWn3ycjM+VWQMC5TFaZPq7By5HfJuvzK6gczh9xei7FfnxCicMmYXDAyJpdMltlukcuJewAO\nWSfvpSXibJ2/S64KkR9Za/4ag6urq9GO9Sy++WZtjm1F5R/YZ+HlVaZAs8hCiOJHxuSiqziNyZY5\nk5x14l569iLZyarkXVBECCGEEEI8PcssktU5LyYCJfOqe0IIIYQQ4ulZZpGsMdSTrGvMvpcaV+iZ\nhBBCCCFE8WGRRbK1gZ7krD7kuJSifaazEEIIIYQwL4ssktUqJQpyK5J1S8HEykyyEEIIIYR4Aoss\nkhUKBVYaFSmP9SS7PJhJvpciRbIQQgghhDDMIotkAI1amWMm2V5jh1KhlCJZCCGEEEI8kcUWydYa\nZY4T95QKJc5WTsSm3DOwlxBCCCGEEBZcJFtpVDnWSQbdyXtxqfFkajNz2UsIIYQQQghLLpLVqhwz\nyaArkjO0GSSm3TdDKiGEEEIIURxYbpGs0fUka7XabNudreTkPSGEEEII8WQWXCSr0ALpGY8VyVkr\nXMgycEIIIYQQwgDLLZL1l6bO/YIiMpMshBBCCCEMsdgi2frBpalTUrMXyS4P2i1khQshhBBCCGGI\n5RbJVg+KZAOXpo6VmWQhhBBCCGGA5RbJD2aSkx+bSXa10V2aOiYlttAzCSGEEEKI4sFii2Qbq9zb\nLWzVttgVxcR4AAAgAElEQVSqbYhOliJZCCGEEELkzmKL5Kx2i+S0nBcUcbNxJSY5JsfycEIIIYQQ\nQoAFF8k2Bk7cA3CzcSElI5X76UmFHUsIIYQQQhQDllskW6mBnCfuAbhauwIQnRxTqJmEEEIIIUTx\nYLFFsr7dIiU9x31uNi4A0pcshBBCCCFyZflFsoGeZJCZZCGEEEIIkTuLLZKf3JMsRbIQQgghhDDM\nYovkJ88k69otYqTdQgghhBBC5MJii+QnzSQ7WjmgVqikJ1kIIYQQQuTKcotk6werW+RSJCsVSlxt\nXKTdQgghhBBC5Mpii2T9ZalzabcAXV9yfFoCqRlphRlLCCGEEEIUAyYtkrVaLVOnTqV3794MGDCA\nGzduZLt/27Zt9OjRg8DAQH744QejPrdapUClVOQ6kwzgmtWXnCItF0IIy3bixAn69+8PwJkzZ3jt\ntdcYMGAAb7zxBtHR0QCsW7eOHj160Lt3b3bv3m3GtEIIUTSoTXnw7du3k5qaytq1azlx4gSzZ8/m\nq6++0t8/e/ZsQkJCsLGx4cUXX6RLly44Ojoa5bkVCgXWGhXJqTnXSYbsK1yUtvMwynMKIURRs3z5\nckJCQrC3twcgODiYKVOmUK1aNX788UeWLVvG4MGDWbNmDZs2bSI5OZk+ffrQokULNBqNmdMLIYT5\nmHQm+ejRo7Rq1QqAevXqERYWlu1+jUbDvXv3SElJAXSFrTFZW6lINjCT7G7jBsDdpGijPqcQQhQl\nPj4+LFy4UH/7iy++oFq1agCkp6djZWVFaGgoDRs2RK1W4+DggK+vL+fOnTNXZCGEKBJMWiQnJCRk\nmxlWq9VkZmbqbw8aNIgePXrQtWtX2rRpg4ODg1Gf38ZKletlqQE87EoBEJl016jPKYQQRUlAQAAq\nlUp/293dHYBjx47x/fffM3DgwBxjtZ2dHfHx8YWeVQghihKTtls4ODiQmJiov52ZmYlSqavLb9++\nzbfffsvOnTuxs7Pjvffe448//qBjx45PPKaHR/7bMeztrIiKS8l1H2tHXzgK9zLuPdUx88PYxzMF\nyWgcktE4JGPh+vXXX1myZAlLly7F1dUVBwcHEhIS9PcnJibi5OSUr2MVh/dFMhZcUc8HktFYJOND\nJi2SGzRowK5du+jUqRP//vsvVatW1d+XkpKCSqXCysoKhUKBm5sbcXFxeR4zMjL/sxtqBaSmZXDn\nThxKZfZWDq1Wi43Khpux4U91zLx4eDga9XimIBmNQzIaR0nMaM5/hEJCQli3bh1r1qzRF8J169Zl\n7ty5pKamkpKSwuXLl/Hz88vX8UraZ2cKRT1jUc8HktFYSmpGQ2OySYvkgIAADhw4QO/evQHdiXpb\nt24lKSmJwMBAunXrRu/evbGxsaFChQq88sorRn1+G6sHayWnZWBrnf2lKhQKPO1KcTvxDpnaTJQK\ni10NTwghAN23ecHBwXh7ezNixAgUCgVNmjRh5MiR9O/fn759+6LVagkKCsLKysrccYUQwqxMWiQr\nFAqmT5+ebVvFihX1/z9w4EAGDhxosufXX5o6NWeRDOBh6871+JvcS4nTLwknhBCWpmzZsqxduxaA\nQ4cO5fqYwMBAAgMDCzOWEEIUaRY9faq/oIiBZeA8bOXkPSGEEEIIkZNFF8k2D2aSDa9woTvLO+K+\nFMlCCCGEEOIhiy6Ss2aSDV11z8NWVyRHJkUVWiYhhBBCCFH0WXSRbGP9sCc5N54PZpIjZSZZCCGE\nEEI8wrKLZM2Ti2QHjT02KmuZSRZCCCGEENlYdJGctaJFUkruJ+4pFAo87NyJTLpLpjYz18cIIYQQ\nQoiSx6KLZJusItnA6hYAnrbupGWmE5McW1ixhBBCCCFEEWfRRbJdHjPJAGXsSwNwO/FOoWQSQggh\nhBBFn0UXyVlLwCUl596TDFIkCyGEEEKInCy6SLbLR7uFFMlCCCGEEOJxFl0k29rk3W7hblsKtUJF\neGJEYcUSQgghhBBFnEUXyfp2iycUySqlCk87D27fvyMrXAghhBBCCMDCi2SVUom1RkVSiuGeZNC1\nXKRmpMoKF0IIIYQQArDwIhl0V9170kwySF+yEEIIIYTIzuKLZDtrNfelSBZCCCGEEE/B4otkW2s1\nyU9Y3QKkSBZCCCGEENlZfpFspSI9Q0tauuG+ZHfbUqiVam4nhhdiMiGEEEIIUVRZfpH8YK3k+084\neU+lVOFtX5pbCeFkZD75JD8hhBBCCGH5LL5ItnlQJCfn0ZdczqEs6doMwu/LeslCCCGEECWdxRfJ\ndvqZ5CcXyeUdywJwPf6myTMJIYQQQoiizeKL5Kx2i7yWgSvv6A3Af1IkCyGEEEKUeJZfJOuvuvfk\nXuOyDmVQoOBG/K3CiCWEEEIIIYowyy+S8zmTbKWyorS9J/8l3JTLUwshhBBClHD5KpLj4+M5deoU\nZ86cIT4+3tSZjCq/RTJAeQdvUjJSuZsUZepYQgghhBCiCFM/6c49e/awfPlyLl68iJeXF2q1mtu3\nb1O5cmUGDRpE69atCyvnM9MXyXlcUASgnKM3R+4c50b8LTztPEwdTQghhBBCFFEGi+Tx48fj7u7O\nlClT8PPzy3bfhQsX+Omnn9iyZQtz5swxeciCeJqZ5Ar6FS7+o2HpeibNJYQQQgghii6DRfI777xD\n6dKlc73Pz8+PCRMmEB5e9K9QZ2eje4mJyfkpksuhQMGVe9dNHUsIIfItMTGRQ4cOce3aNRQKBT4+\nPjRv3hxra2tzRxNCCItlsEjOrUD+66+/SElJoWXLlmg0Gry8vEwazhjsHxTJ9/NRJNuobfB28OJ6\n/H9kZGagUqpMHU8IIQxKSkpiwYIFbNu2jWrVquHt7Y1areb48ePMnj2bgIAAhg8fjr29vbmjCiGE\nxXliT/KjgoODSUlJQalUsnbtWpYsWWLKXEZjpy+S0/L1+IpOFbiZcJubCbep4FTOlNGEEOKJxo4d\nS8+ePXn33XdRKrOfZ52ZmcmuXbsYO3YsX331lZkSCiGE5TJYJP/www/06tVLPzBfv36defPmoVQq\nefnllwstYEGplEpsrFQkJOU9kwzg6+zD/luHuBx3TYpkIYRZzZ8/H4VCket9SqWSdu3a0bZt20JO\nJYQQJYPBJeBcXFwYOnQof/75JwDdu3ena9eudOrUiZ49exZaQGOwt9FwPyV/M8mVnCoAcFX6koUQ\nZnb69GkOHz4M6GaOV6xYwbBhw/jkk0+Ii4sDMFhECyGEKBiDRfILL7zAokWLuHPnDsOGDcPNzY0/\n/viD7du38/rrrxdmxgKzt1Hn68Q9AA87d+zUtly5d83EqYQQwrCTJ08yatQoEhMTAVi9ejW7du2i\nb9++KBQK3nvvPTMnFEIIy/bEi4lcvnyZli1bMmfOHPbt20dQUBCXLl0qrGxGY2ejJiU1g/SMvK+k\np1Qo8XWuwN3kaOJTEwohnRBC5PT5559TsWJFTp06xYIFC/j222/x9vYmNDQUW1tbQkNDWbBggblj\nCiGExTLYkzxu3DhiY2NJTk6mXr16BAUFcefOHRYuXAjAjBkzCi1kQdnbagDdChdO9lZ5Pr6Sky+n\no85x6d5VnvOobep4QgiRQ8OGDbl37x7du3fnypUr/PTTT4wZMwatVkt8fDzr16+ne/fu5o4phBAW\ny2CRfPr0abZs2UJGRgbdu3cnKCiI0qVLM2PGDC5cuFCYGQvMXr9Wclq+imQ/10pwBc7HXJIiWQhh\nFq+99hr9+/fn+PHj3Lx5k6lTp+Lt7c1vv/3Gxx9/TP/+/fH29jZ3TCGEsFgGi+SWLVvStWtXMjMz\nc8xWPH4FvqLO3kY3k5zfvmQfp/JolBouxBS/1hIhhGVwdXVl06ZNXLx4kdKlS+Pm5gZA9erVWbx4\nMdWrVzdzQiGEsGwGe5LHjRvH999/z/r16xk8eHC2+4pbX/LTrpWsUaqp5OzDrcRwElITTRlNCCEM\nmjdvHmXLltUXyAAVK1bUF8ixsbF8+umneR7nxIkT9O/fH9At59m3b1/69evH9OnT9Y9Zt24dPXr0\noHfv3uzevdu4L0QIIYqhJ15MxNHREYD79+9z8OBB9uzZw/nz5/Hz82PmzJmFEtAYnnYmGcDPpTLn\nYi5yMfYyz3nWMVU0IYQw6IUXXmDEiBF4enrSqFEjvLy8UKlU3Lp1i7///puIiAgmTpz4xGMsX76c\nkJAQ/VX5Zs+eTVBQEI0aNWLq1Kls376d5557jjVr1rBp0yaSk5Pp06cPLVq0QKPRFMbLFEKIIslg\nkXzx4kX27NnDX3/9BUCzZs147bXXqFatWqGFM5asE/cSk/I3kwxQ1bWyri859pIUyUIIs6hZsyZr\n1qzh77//ZufOnezevRuFQkGFChXo1asXzZo1y/MYPj4+LFy4kPfffx+AU6dO0ahRIwCef/55Dhw4\ngFKppGHDhqjVahwcHPD19eXcuXPUri3nZAghSi6DRfLq1at5/vnn6dWrFw4ODoWZyegetlvkfybZ\nx6kcGqWG89KXLIQwM39/f/z9/Z9p34CAAG7evKm/rdVq9f9vb29PQkICiYmJ+m8OAezs7IiPj8/X\n8T08HPN+kJlJxoIr6vlAMhqLZHzIYJHs5OREkyZNDBbIsbGxLFu2jLFjx5osnLE8XN0i/0WyWqmm\niktFzkSfJzblHi7WzqaKJ4QQhUapfHgqSmJiIk5OTjg4OJCQkJBje35ERuavmDYXDw9HyVhART0f\nSEZjKakZDRXdBovkzp07F7gXrqh42JOc/3YLgJpuVTkTfZ4zUedp5t3YFNGEEKJQ1axZkyNHjtC4\ncWP27t2Lv78/derU4YsvviA1NZWUlBQuX75c7FYxEkIIYzNYJBujF66osH+GdguAmqWqseHiVk5H\nn5MiWQhhNgcOHKBFixbZtv3555906NDhqY81btw4PvjgA9LS0qhcuTKdOnVCoVDQv39/+vbti1ar\nJSgoCCurvNeUF0IIS/bE1S2gYL1wRYWNtRqFAhKecia5tJ0nbjaunI2+QEZmBiqlykQJhRAip19/\n/ZXU1FTmzZvH6NGj9dvT0tJYunRpvovksmXLsnbtWgB8fX1Zs2ZNjscEBgYSGBhonOBCCGEB8iyS\nLYFSocDeRvNUq1sAKBQKarpVZf+tQ1yLv0ElZ1/TBBRCiFwkJCRw/PhxEhMTOXTokH67SqXinXfe\nMWMyIYSwfCWiSAZwtNMQf//pimTQtVzsv3WIU1HnpEgWQhSqnj170rNnTw4ePFisWtyEEMIS5Fkk\nG7MXzpwcbTWER90nM1OLUqnI937VXKugVqg4efc0XSt1NGFCIYTInbOzM6NHj+bevXvZlnBbvXq1\nGVMJIYRlM1gkG6sXrqhwtLNCi64v2cku/yek2KhtqO7mR1jUWSLvR+FhV8p0IYUQIhfjxo2jV69e\n+Pn5oVDk/498IYQQz85gkWxpvXCOdrpl4OLvP12RDFDPow5hUWc5cTeM9hVamyKeEEIYZGNjQ79+\n/cwdQwghShSDRbKl9cI5PCiSE+6nAvZPtW9d95p8j4J/I6RIFkIUvpYtW7JmzRpatmyJtbW1fru3\nt7cZUwkhhGXLsyfZUnrhHG11s8fPcvKeg5U9fi6VOB97Sa6+J4QodCEhIQCsXLlSv02hULBjxw5z\nRRJCCIuXZ5FsKb1w+naLp1wGLks9z9qcj71EaOQpni/X3JjRhBDiiXbu3GnuCEIIUeLkWSRbSi+c\ng74nOfWZ9q/nXov150M4HnFSimQhRKGaMGFCrttnz55dyEmEEKLkyLNItpReuKx2i4RnaLcAcLVx\noZKzLxdiLxOTHIurjYsx4wkhhEFNmjTR/396ejo7duygUqVKZkwkhBCWL88i2VJ64QrabgHQ1KsB\nl+9d5cid43Tw+Z+xogkhxBO98sor2W6/+uqr9OnTx0xphBCiZMizSLaUXjjHArZbADTwrMv68yEc\nCj9GQIU2xbpHWwhRfF26dImIiAhzxxBCCIuWZ5FsKb1wGrUKayvVM7dbANhp7KjjXpPjkSe5kXCT\nCo7ljJhQCCFyV716dRQKhX6FITc3N4KCgsycSgghLFueRbIl9cI52moK1G4B0LRMQ45HnuTw7WNS\nJAshCsXZs2fNHUEIIUqcPIvkgvTCabVapk2bxrlz57CysuLDDz+kfPny+vtDQ0P5+OOPAShdujQf\nf/wxGo3mafI/FUc7K25ExKPVap+5VaKmWzUcNPYcuXOcblU6o1bm+RYKIUSBJCUlsWDBAg4ePEhG\nRgb+/v6MGTMGOzs7c0cTQgiLpXzaHZ6mF2779u2kpqaydu1a3n333RwtGlOmTOGjjz7iu+++o1mz\nZvz3339PG+epONppSM/Qkpya8czHUClVNPVqSEJaIv9GhhkxnRBC5G7GjBkkJSURHBzMxx9/TFpa\nGlOnTjV3LCGEsGh5ToMWpBfu6NGjtGrVCoB69eoRFvawqLxy5QouLi6sXLmSCxcu0KZNGypWrPgs\nryHfHG0frnBha/3sM8Aty/qz48Ze9v53kEalnzNWPCGEyNWpU6f4+eef9benTJlC586dzZhICCEs\nX56VYkF64RISEnB0dHz4ZGo1mZmZKJVKYmJi+Pfff5k6dSrly5dn6NCh1K5dm6ZNmz7xmB4ejk+8\n/0k83R10OazUBTqOB47Uu1qTE+GnSdLEUcGlrNEyFhbJaByS0Tgk45NptVri4uJwcnICIC4uDpVK\nZbY8QghREuRZJBekF87BwYHExET97awCGcDFxYUKFSroZ49btWpFWFhYnkVyZGR8ns9riBrdbPj1\nW/dwsytY77O/R2NOhJ8mJGwHvas97Nv28HAsUMbCIBmNQzIaR0nM+LQF98CBA3n11Vdp27YtWq2W\nXbt2MWTIEKPlEUIIkVOePckF6YVr0KABe/bsAeDff/+latWq+vvKly/P/fv3uXHjBqBrzahSpcqz\nvIZ8c7TTXXUvLvHZ10rOUtu9Bq7WLhwOP0pSelKBjyeEEIb06NGDBQsWUL58ecqVK8f8+fN59dVX\nzR1LCCEsWp4zyQXphQsICODAgQP07t0b0K2tvHXrVpKSkggMDOTDDz/U9zfXr1+f1q1bP8tryDcX\nB12RfC8hpcDHUiqUPF+uGSGXfmPfzb/lCnxCCJNJTU3lv//+w97eHoAzZ85w5swZunXrZuZkQghh\nufIskgvSC6dQKJg+fXq2bY+enNe0aVPWr1//NHkLxNnBGoB7RphJBmjp7c8fV3ey68Z+/leuJRqV\n6ZavE0KUXG+++SZarZayZbOf/yBFshBCmE6eRbIl9cI522fNJBunSLbT2NKyrD/br+/h8J1jtPB+\ncj+1EEI8i5iYmGzf6AkhhDC9PHuSLakXzsFOg0qpIDax4O0WWf5XviVqhYrt1/eQqc002nGFECKL\nv78/f/31F5mZMsYIIURhyXMm2ZJ64ZQKBU72VkabSQZwsXamiVcD/rp9hGMRobzg2cpoxxZCCABv\nb28GDRqkv1Jo1lVDz5w5Y+ZkQghhufIski2tF87Z3oqbdxMLdGnqx3Xwacvf4Uf55cqfdKjZ3CjH\nFEKILKtXr2bnzp14e3ubO4oQQpQYeRbJltYL52xvxdXweJJS0rGzMc6Jdh52pWhWpjEHbh1i79VD\n1HasY5TjCiEEgKenJy4uLuaOIYQQJUqeRXJWL5y/v7/+QiDFWdYKF7EJqUYrkgFe8G3HofCj/HTq\nF6o1qYFG+eyXvRZCiEeVLl2aLl260KBBAzSah+PW7NmzzZhKCCEsW56VnKX1wj26VrK3u73Rjutq\n40Krsv7surGf/Tf/5n/lWxrt2EKIkq1Nmza0adMm2zZjtYsJIYTIXZ5FsqX1wumXgTPSWsmP6ujT\nlsPhR/nlyjYalX4ORysHoz+HEKLkeeWVV7LdPnz4MD/++GOxPTdECCGKgzz7JyytF+7Rdgtjc7Ry\nILB2F5LSk9h6+Q+jH18IUXLFxcXxzTff0LlzZ0aMGIGnp6e5IwkhhEXLcybZ0nrhnLPaLYy4VvKj\nOlRpze/n93Lg1mFalvWnvGPZvHcSQggDjh8/ztq1a/nzzz+pXr060dHR7Nq1CwcH+aZKCCFMKc8i\n2dJ64Yx91b3HqZUqXvXryoJ/l7P+fAhvNxiGUlH8T3gUQhS+l19+GTs7Ozp27Mg777yDl5cXbdu2\nlQJZCCEKQZ5FsqX1wjnb69otTNGTnKWGW1XqedTmRGQYB24dplVZf5M9lxDCcvn4+HDmzBnOnTtH\n5cqV8fDwKNaTFEIIUZzka4rTknrhNGol9jZqYhNM026RpWfVl7FV27D54i/EJMea9LmEEJZp3rx5\nrF+/npo1a/L555/TokULYmNjOXnypLmjCSGExXviTLKl9sK5OloTeS/ZqFfde5yLtTPdq3Tlu7Pr\n+f7cBobXHSQzQEKIp+bi4kL//v3p378/Z86cYcOGDbz55puULVuWDRs2PNMxtVotkyZN4sqVK6hU\nKmbOnIlKpWL8+PEolUr8/PyYOnWqkV+JEEIULwZnkl9++WU++eQTatSowW+//cYPP/yAnZ1dsS+Q\nAdycbEhJzSApJd2kz9OsTCOqu/pxOuoch8KPmvS5hBCWr0aNGkyePJl9+/YxdOjQZz7O/v37SUpK\n4ocffmD48OF88cUXzJ49m6CgIL799lsyMzPZvn27EZMLIUTxY7BI9vHx4e7du5w7d44LFy6QkZFh\nMTOhbk42AETHmbblQqFQ0Lf6q9iorFl3fjMR9yNN+nxCiJJBo9HQoUOHZ97f2tqa+Ph4tFot8fHx\nqNVqTp8+TaNGjQB4/vnnOXjwoLHiCiFEsWSwSLbkXjg3R93Je9HxySZ/rlK2rvSp1p2UjFRWnPqe\ntEzTzl4LIUReGjZsSEpKCp06dWLKlCn0798frVarv9/e3p74+HgzJhRCCPN7Yk+yKXrhigI3pwdF\nsolnkrM08qrPmZgL/H37H36+9Bs9/LoWyvMKISzDhQsX8PPzy7bt33//5bnnnnum4y1fvpwGDRrw\nzjvvcOfOHfr3709aWpr+/sTERJycnPJ1LA8Px2fKUJgkY8EV9XwgGY1FMj6U5xJwWbJ64caNG8eu\nXbtMmcnk3BwftFsUwkxylp5Vu3Hl3jV23thHJWdf6nvWKbTnFkIUT0ePHiUzM5PJkyfz4Ycf6md7\n09PTmTZtGn/88WxX9rx//77+/BJHR0fS09OpWbMmhw8fpkmTJuzduxd///wtXRkZWbRnnD08HCVj\nARX1fCAZjaWkZjRUdOe7SM5S0F64oqCwZ5IBrFVWvFG7P58eXcDqMz/iaedOWYcyhfb8Qoji56+/\n/uLw4cNERETw5Zdf6rer1Wp69er1zMcdPHgwEyZMoG/fvmRkZPDee+9Rq1YtJk+eTFpaGpUrV6ZT\np07GeAlCCFFsPXWRbAlcs2aS4wpvJhnA28GL12v2ZtnJ1SwJXcX7jUbjYGVfqBmEEMXHqFGjANi8\nebNRL+Dk5OTEwoULc2xfs2aN0Z5DCCGKuzyLZGP3whUFGrUSJ3srouMLbyY5y3MetelcMYBfr2xj\n6cnVjHruDTQqTaHnEEIUffPnz2fUqFEcOnSIQ4cO5bh/9uzZZkglhBAlg8Ei2VS9cEWFm6M1/0Um\nmvSCIoa84NuO8MQ7HIsIZeXpH3ijdj+Uinxd/FAIUYLUqlULgCZNmpg5iRBClDwGi2RT9cIVFW5O\nNlwNjyf+fhpO9laF+txKhZIBNXuTkHafE5Fh/HhuE72rdbeYdaiFEMbRtm1bANzc3GjdurV+u1ar\nZcWKFeaKJYQQJYLBItlUvXBFxaNrJRd2kQygUaoZUmcAc48tZv+tQzhYOdClYgcplIUQOXz22Wfs\n2rWL8ePHEx4ezvjx43FxcWHw4MHmjiaEEBbLYJFs6b1wj151z9fLPBls1TYMrzeYz499xe9XdwBI\noSyEyGHDhg0sWLCALl26kJGRwYQJE4r9KkNCCFHUGSySLb0XrpSzrkiOule4K1w8ztnakbfrD2Xu\n8SX8fnUHWq2WrpU6SqEshNC7ceMGx44do2LFioSHh3PkyBFatWqFra2tuaMJIYTFMni22KO9cK+8\n8or+v27duhEdHV1oAU3Fw0VXJEfeSzJzEnC1ceGdBsPwtHXnj2s72XTxFzK1meaOJYQoIvr160f3\n7t1ZtmwZGzZsQK1W06VLF3PHEkIIi5bnkgqfffYZ06ZNIzk5matXr9KnTx+OHDlSGNlMysNFNwNz\nN9a8M8lZXKydGdNgKKXtPNlxYy+rT/9Iema6uWMJIYqAjRs38sorrwBgZWXFuHHj+Oyzz8ycSggh\nLFueRfKGDRtwdnamS5cu/N///R+DBg1i8eLFhZHNpOxtNNhZq4mMNf9MchYXa2eCGr5FRScfjtw5\nzqITK0lKLxpFvBCi8M2dOxcALy8vDhw4kO2+lStXmiOSEEKUGHkWyY/2wjk4OHDkyBGSkopOYVkQ\nHi62RMYm6deALgocNPaMrv8mddxrcjbmAp8f/YrI+1HmjiWEMIM9e/bo/3/OnDnZ7rt+/XphxxFC\niBIlzyLZknvhPFxsSE3PJC4x1dxRsrFSWfFm7f60LteCW4nhfPzPPE5HnTN3LCFEIXv0D/ii9Me8\nEEKUBHlelnrjxo14eenWSMvqhevYsaPJgxUG9wd9yZGxyTg7WJs5TXYqpYqeVV+mvGNZ1p7byFcn\nVvBSpU6092ktV+cTogSSFW+EEKJwGay2SkIvnIe+SC667SPNyjQiqMFbOFs7EXL5NxadWElcary5\nYwkhCoEUxkIIYT4Gi+SS0AunXwauCBfJAD5O5RnXeDQ13KpyOvocwYe+4JS0Xwhh8c6cOUONGjWo\nUaNGtv+vXr06Z8+eNXc8IYSwaAbbLUpCL1xxmEnO4mTlyPB6g9j93wFCLv7KVye+5vmyzXi58gvY\nqG3MHU8IYQJSCAshhPnkq7nVUr/yK+Vkg0JRPIpkAKVCSdvyrXiv0Si87Euz9+ZBZh36nLC7Z8wd\nTcMTJ5wAACAASURBVAghhBDCohgski21MH6UWqXEzdGGiGJSJGcp7+jN+MZjeMG3HfdS41gUupJV\np34gPjXB3NGEEEIIISyCwXaLrP430LVbPPr/llRAe7racuZaDCmpGVhbqcwdJ980SjVdKnWkvmdd\nvjvzE0fuHCcs6gydfdvzfLnmqJV5LlwihCjifv31Vzp37kx0dDRubm7mjiOEECWKwUqqpPTCeZWy\n48y1GMKj7+Pj5WjuOE+trEMZ3ms0gr03D/LL5T/ZcHEr+28doodfV2qVqm7ueEKIApg3bx4dOnRg\n8ODBbNq0ydxxhBCiRCnx041ebnYAxbZIBl2vcptyLWjk+Ry/XPmTfTf/5qsTK6jqWoWXKnWkorOP\nuSMKIZ5B/fr1qVOnDlqtlurVs//Rq1AoOHNGzkcQQghTKfFFcplHiuTizsHKnl7VXqFlWX82XfyF\nM9HnmXP0IrVL1aBrpY6Uc/Q2d0QhxFOYPXs2s2fP5q233mLRokXmjiOEECWKwSK5pPTCeVlQkZyl\nrEMZRj73Bhdjr/Dzpd8JizpDWNQZnvOoTYBPGzw8apk7ohDiKSxatIg9e/bw999/k56ejr+/P+3a\ntTN3LCGEsGgGV7eYN28e6enpDB48uDDzFDo3Zxs0aiXhUZZTJGep4lKRdxoMY0S9wfg4luffyDA+\n/WcB03d9wamosxa7/rUQlmb58uUsWLCAMmXKUK5cORYtWsTixYvNHUsIISyawZnkktILp1QoKO1q\nS3jMfYtbuQN0n1XNUtWo4VaV8zGX2HZ9N6ciznMq4jxlHcroeplLP4eVysrcUYUQBoSEhLB+/Xps\nbHQXDurZsyfdu3dn2LBhZk4mhBCWy2CRXJJ64bzc7PgvMpHYhFRcHa3NHcckFAoF1dyqUM2tConq\nWNad+JVjEaF8d/YnNl78Bf8yDWnl7U9pe09zRxVCPEar1eoLZABra2vU6hJ/SokQQphUnqNsSeiF\n8yr1oC85KtFii+RH+bqW5/9q9aVb5c4cuHWIA7cOs+vGfnbd2E811yo0925CXfdaWKk05o4qhAD8\n/f0ZNWoUr7zyCgCbN2+madOmZk4lhBCWLc8iefny5fzxxx907doVrVbLokWLuHDhgkV9zZd18t7t\n6PvU8LXckxQf52rjQpdKHenk244TkafYd/Mg52Iuci7mIjYqGxp41qGJVwMqu1REqcjXFcyFECYw\nadIkfvjhBzZv3oxWq8Xf359evXqZO5YQQli0PIvkktAL5+1uD8DNu4lmTmIeaqWahqXr0bB0PcIT\nIzgcfozD4cf46/YR/rp9BDcbV5qUrk+D0vXwtveyuL5tIYo6hUJB37596du3r7mjCCFEiZFnkVwS\neuG8S9mjUMDNiARzRzE7L3tPXqrciS6VOnAx9jKHbh/jeGQov1/bye/XduJhW4r6nnWp71GH8o5l\npWAWQgghhEXKs9otCb1wVhoVnq66k/cscYWLZ6FUKKnqWoWqrlXomdGNU1FnOR4RSljUWf68tos/\nr+36//buPDyqMk///7uWVBKykBCysIQthCVhDQmETVlEQegRBL8IAuOMy0hrj622gytgi9LY0zuN\nDXaP/RMX7BlxQ9oFEVEgECBsCYRFdpIiCSEbIalKnd8fkVKQEIRKTpb7dV19darOyTl3KvLw4alP\nPQ+RgRHc3/tfaRscY3ZcEREREZ+qtUhuLr1w7SOD2HbmHIUlFbQKDaj9G5oRf5uDpKg+JEX1obLK\nxd4z2Ww/vYutzh38dc9y/iv5PwmwN/0PPIqY6cSJExw8eJBhw4aRk5NDbGys2ZFERJq0Wovk5tIL\nFxsZzLbsPE7klalIvgKHzY++kb3oG9mLUEcIa49/xdv732VWz6magRepI6tXr+bll1+mvLyct956\ni2nTpvH4449z2223mR1NRKTJ0pIF32oXGQzAyTz1JV+t2+LG0TE0li2520nL2Wp2HJEm65VXXuGt\nt94iODiYyMhI3n33XZYtW2Z2LBGRJk1F8rfaR1WvcHFcRfJVs1vt3JN4F4H2QN7e/x4nS3PMjiTS\nJFmtVoKDg72PIyMjsVo1fIuI1KWrGmVPnDjBunXrcLvdHD9+vK4zmSIyLBCHn5UTp5vnMnDXKiKw\nFTN73oHL4+KV3a9xzlVudiSRJic+Pp7XX38dt9vN3r17efbZZ+nRo4fZsUREmrRai+TVq1cze/Zs\nFixYQGFhIdOmTeP999+vj2z1ymqx0K51EDkFZbirPGbHaVT6Rvbi5o4jySsv4P/LWoHH0Osn4ktz\n587F6XTi7+/PU089RXBwMPPmzTM7lohIk1brB/cu9MLNmDHD2wt39913X9UHRgzDYP78+WRnZ+Nw\nOHjhhRcu+4nsuXPnEhYWxqOPPnptP4WPtIsM5nBOCc4z57w9ynJ1ftLlFo4Vn2BPwV4+PvI5t3Ye\nY3YkkSbj+eefZ+HChTz22GM+u+ayZctYu3YtbrebGTNmkJSUxBNPPIHVaiU+Pl5FuIg0e7XOJF9P\nL9yaNWuorKxkxYoVPPbYYyxcuPAH56xYsYL9+/f/iMh1J/bbwviYNhX50awWK//WazqtAsJZfXgN\ne/L3mh1JpMnYv38/ZWW+awXbsmULGRkZrFixgtdee41jx46xcOFCHn30UV5//XU8Hg9r1qzx2f1E\nRBqjWqvd6+mF27ZtG8OHDwegb9++7Nmz56LjGRkZ7N69mzvvvPMaovtepzYhABzNLTE5SeMU7BfE\nfb1nYrfa+HvWWzjP5ZkdSaRJsFqtjBw5kqlTpzJr1izv/67V119/Tbdu3fjpT3/K7NmzGTVqFFlZ\nWSQnJwNwww03sGnTJl/FFxFplGptt5g7dy4vv/yytxcuNTWVOXPmXNXFS0tLCQkJ+e5mdjsejwer\n1UpeXh6LFy9myZIlrF69+qoDR0aG1H7SNQoJDcRqgRP5Zdd1n7rM6Ct1lTEysif/YZ3B4s1/Z9me\nv/PCTf9FiP+1ta4059fRl5TRN8zM+Pjjj/v0eoWFhZw6dYqlS5dy/PhxZs+ejcfz3WcJgoKCKCm5\nuskC/e58o6FnbOj5QBl9RRm/U2uRfD29cMHBwRe9RXihQAb4+OOPOXv2LPfddx95eXlUVFTQpUsX\nJk6ceMVr5uXV7Sxvm9ZBHDxxFqezGKv1x2+OERkZUucZr1ddZ+wZlMDNHUfy6dEv+NW6l3mo373Y\nrbX+p3YRvY6+oYy+4euMP3aAHzhwIFlZWZw7dw7DMKiqquLEiRMMHDjwmu4fFhZGXFwcdrudzp07\n4+/vj9Pp9B4vKysjNDT0qq7V3H53daGhZ2zo+UAZfaW5ZqxpTK613eJ6euGSkpL48ssvAdixYwfd\nunXzHps5cybvvPMOr732Gvfffz8TJkyotUCuD51iQqh0ecgp0FJw1+MnXW6hf2RvDpz9hrf2rcQw\nDLMjiTRac+bM4ec//zkPPvggv/3tb5k9ezYbN2685usNGDCAr776CgCn00l5eTmpqals2bIFgPXr\n1zNgwACfZBcRaaxqnd670At3Ybbhgtdee63Wi48ZM4YNGzZ4e44XLlzIqlWrKC8v54477riO2HWn\nc5tQNuzO5UhuiVa4uA5Wi5VZCVM5s/0sablbiW4Ryc2dRpodS6RRSk9P55NPPuH5559n1qxZGIbB\nkiVLrvl6I0aMYOvWrUyZMsW7ClG7du145plncLlcxMXFMXbsWB/+BCIijU+tRfL19MJZLBaee+65\ni57r3LnzD86bNGnSNd/D1zrFVL/FeDinmKG925icpnFz2Bz8R59/5ddbF/P+N/8kLKAlA2OSzI4l\n0uhERUXh5+dHXFwc2dnZjB8/nlOnTl3XNX/xi1/84Lnly5df1zVFRJqSWtstBg4cSHBwMFarFYvF\ngsfj4dixY/WRzRSxUUHYrBaOaIULn2jpH8pP+/47gfZAlu/9B5kF+8yOJNLoREdHs3TpUvr378+K\nFSv46KOPKCoqMjuWiEiTVutM8pw5c8jIyKCoqIguXbqwb98+Ro4cyZQpU+ojX73zs9toFxnEMWcp\n7ioPdtvVrQktNWsbHMMDfe5m8Y5XeGX3cv6z//10adnR7FgijcYLL7zAl19+SZ8+fbj55ptZtWoV\n8+fPNzuWiEiTVmsFmJ6ezkcffcQtt9zC888/zz/+8Y8m/yGszm1CcVd5OK5NRXyma1hn7uk1gyqj\nipd3/g+nSnPNjiTSaAQHBzNy5EhycnIYPXo0zz77LB06dDA7lohIk1ZrkXxpL1x8fPx198I1dF3b\ntQTg4Am9nelLvVsnML3HFM65y/nzzr9RUF5odiSRRmHx4sUMHTqUu+66i5kzZzJjxgxmzpxpdiwR\nkSat1naLC71wgwcP5te//jVAk++Fi48NA+DAySLGpMSanKZpGdwmmdLKUt47tJo/ZCzlkaQHCA8I\nMzuWSIO2cuVK1q5dS3h4uNlRRESajVpnkl944QXat2/frHrhIlsG0DLYwYETZ5t8a4kZxnQcwa2d\nx1Bw/gy/z1jK2Yqm/Y8ukesVFRV10e6lIiJS92qdSb60F2706NH1kctUFouF+PZhbN13mryi80SF\nBZodqcm5tdNNeAwPHx/5nD9kLOXn/R+gpf/V7fAl0lwsXrwYgNDQUKZOncoNN9yAzWbzHn/ooYfM\niiYi0uTVWiQvXryYv/3tb4SHh2OxWDAMA4vFwueff14f+UwT364lW/ed5sDxsyqS64DFYmFC55vx\nGB4+PfoFf8hYxs+T/oNQh2bLRC7Vp08fsyOIiDQ7tRbJzbUXLj62+sN7B04UaVOROmKxWPiXLmOp\n8lTx+fH1/H77Un7W7171KIt863IzxYWFhYSFhWGxWExIJCLSfFzV6hbNsRcuNioYfz8bB06cNTtK\nk2axWJjUdTw3dbgR57nT/G77y+SdKzA7lkiDcObMGf7zP/+TzZs3YxgGDz30ECNHjmTMmDEcOnTI\n7HgiIk1ajTPJzb0Xzma10rVdKJlHCikqq6RlkMPsSE2WxWJhYtytBNgCWHX4E363fQnzwh7Bn2Cz\no4mY6vnnn6dXr1706tWLf/7zn2RlZfH1119z9OhRFixYwKuvvmp2RBGRJqvWmeQ+ffowcuTIiwrk\n5qJnp1YA7Duq9XzrmsViYVzn0UyO/wlFlSXMW/sbjhWfMDuWiKkOHjzI/fffT1BQEOvXr2fs2LEE\nBweTmJjI6dOnzY4nItKk1TiTrF446Nmxug8768gZBiVEm5ymeRgVO5wAmz9v7nuHP2Qs5d7eM+nZ\nqpvZsURM8f2xNi0tjQULFngfnz9/3oxIIiLNRo0zyeqFg47RIQQF2NmrmeR6NaTtQH4+5B7cHjdL\ndv4PaTlbzY4kYoq2bduyevVq3nnnHcrLyxk4cCAAH3zwAV27djU5nYhI01bjTLJ64cBqtdCjQzjb\n9udx+my5loKrR4NjB8B5P5bu+jvL9/6DwvNnGdtpdLN5F0MEYN68ecydO5eCggJ+85vf4HA4ePHF\nF1m3bh3Lli0zO56ISJNW40yyeuGqJXT6ruVC6lfXsM48NuCntAoIZ9XhT3lz3/9R5akyO5ZIvWnT\npg2vvPIKK1euZNiwYQA8+OCDfPzxx3Tq1MnccCIiTVyNM8nqhauW2Ln6w3uvfZzNht05tZ7vZ7fh\ncjfsQq6xZfSzDsMv4ms25qSz+XgW1qoAk9NVs1oseBr4tuXK6Bu+zvjGrAW1n1SDli1b+iyHiEhz\ndSgvl9X7NvFN+V5ev2vhZc+psUi+0AtXXl7erHvhosJb0CcugszDZziSU1Lr+RYLNPC/7xtnxpxk\nbB33YIQ7wXrOtFwiIiLSOJ0uLuLDrE1kFu6mwj8PAMNacxtnjUWyeuG+8/M7+l71uZGRIeTl1V5M\nm6nxZhxjSpaaNN7XsWFRRhERqSsl58tZnbWFbad3UGo/hcVqgD/4V0TSK7w3ExIG1/i9NRbJF3rh\nvu/BBx/kiSeewGqtdXllERHxgXfeeYf4+Hj69OkDwG9+8xs6duzIlClTTE4mItIwVbpdrMnewcYT\n2zljPYLFVgUOsFe2JD4ogQk9h9C5de1L+9ZYJF+OeuFEROrP8uXL+eCDD1i0aJH3ueHDh7No0SIq\nKyuZPn26ielERBoOj8fDxsP7WHc4nZyqg+BXAX5gdQXSwd6dm7um0i+2y4+65o8qkkVEpP783//9\nH2+88QbBwd9t0T5w4EBeeeUV7r77bhXJItLs7Tl5lE8OpHH4/D4MR1n1um0eP6KrenBjpxSGxSVi\nu8YOCBXJIiINlNVqvahAvqBVq1ZqexORZutoQR6r925iX0kmbv/qDd8Mm41wV2dS2yZxc48k/P38\nrvs+VyyS1QsnImIem81GQUEBERERFz2fn59PVVXDXsZRRMSXCkpLWZW1iT2Fuymz51avguWwEFTZ\nlv6t+zI+cSAtA4N8es8ai2T1womImGvGjBncd999PPXUU/Tp0wfDMNi9ezeLFi1i6tSpZscTEalT\n5ZWVrM5KJ92ZQbHtBBarB/zAURFBQsteTEgYTNuwVnV2/xqLZPXCiYiYa+LEiVRUVPD444+Tm5sL\nQGxsLP/+7//OnXfeaXI6ERHfc1dV8cWB3Xx9LJ18y2GwucEPbJUhxLXoybSBo4kOCK+XLDUWyeqF\nExEx19mzZ5k6dSpTp06lsLAQq9WqVYZEpMnxeDxsPXqQzw9v5oTrAPidr65QXQG0tyUwuvNAkjt2\nxWq11uu69TUWyeqFExEx1y233EJqaip33HEHw4YNMzuOiIhPZTtP8s99mzhUvheP49vC12qntTue\nYR1SGBnfG7vNZlq+Gotk9cKJiJhr3bp1fPrpp7z66qvMnTuX2267jdtvv53Y2Fizo4mIXJNTZwtZ\nlbWRrKI9uPwLADDsVkJdHUiJ7s+tCSkEOhwmp6xWY5GsXjgREXMFBgZy2223cdttt3H69Gk+/PBD\nHnroIcLCwpgyZQo/+clPzI4oIlKrovIyPsrcQkb+Tsr8crBYDAwHBFZG06dVHyYkDCbiMi2+Zqux\nSFYvnIhIwxEVFcU999zD+PHjWbJkCU8++aSKZBFpsCpcLj7et40tpzIotB7zbg3tVxFOj5BExicM\noUOr1mbHvKIai2T1womINAzFxcV8/PHHfPjhh+Tn5zNp0iQ+//xzs2OJiFzE7ani64NZrD+ajtM4\nBHZX9dbQlUF09uvBLfGp9GrX0eyYV63GIlm9cCIi5lq9ejUffPABGRkZjB49mocffpjk5GSzY4mI\nXGTH8W/49GAaxyqzMfzKwQa4HbTxJDKy80AGd+7eKFdGq7FIVi+ciIi53njjDW6//XZ++9vf0qJF\nC7PjiIh4Hc53smrvRg6UZlHlXwSAYbUR4Y5jSLsBjO7eF4f9+reGNtMVt6W+QL1wIiL174033jA7\ngoiI1+niIu/W0BX+eQAYfhZCKtszIKof4xJSCAkINDml79RaJKsXTkSkaSooKGDy5Mm8+uqr2Gw2\nnnjiCaxWK/Hx8cybN8/seCLSAJSeP8/qrC1sO72DEvtJLFYD/MG/IpLE8N5MSBhMdGjTXNihxiJZ\nvXAiIk2X2+1m3rx5BAQEALBw4UIeffRRkpOTmTdvHmvWrOGmm24yOaWImKHS7eLz7J1sPLmNAstR\nLDY3OMBe0ZL44ARu7TGYuMgYs2PWuRqLZPXCiYg0XYsWLWLatGksXboUwzDIysryToTccMMNbNy4\nUUWySDPi8XhYm7mL93etJ6fqIPhVgB2srkBibb24OT6V/rFdzI5Zr65YJIuISNOzcuVKIiIiGDp0\nKH/5y1+A6r8gLwgKCqKkpMSseCJSjzJPHePj/Zs4fH4fhqMMrIDHj6iqHtzQMYXhXROwW83bGtpM\nV/XBPRERaTpWrlyJxWJhw4YNZGdnM2fOHAoLC73Hy8rKCA0NvaprRUaG1FVMn1HG69fQ84Ey/hiH\n807zdvo6dhfsxOU4A1RvDR1R1YUbuwxiYlJqg9ka+nLq63VUkSwi0sy8/vrr3q9nzZrFc889x0sv\nvUR6ejopKSmsX7+e1NTUq7pWXl7DnnGOjAxRxuvU0POBMl6NM6WlrMpKY+eZnZT7ObFYqlemaFHZ\nhv6t+zIhcRBdO8SQl1dCaVEFpVSYlvVK6uJ1rKnoVpEsIiLMmTOHZ599FpfLRVxcHGPHjjU7kohc\np/LKSv65dyvpudspsp3AYvWAAxwVESS07MWEhMG0DWtldswGS0WyiEgz9tprr3m/Xr58uYlJRMQX\n3J4q1u3fzVfHt5JvHPZuDW2rDCEusCfjegyme3Q7s2M2CiqSRURERBoxj8fDtmOHWPPNZk649oPf\n+eqtoV0BtKcHozoPIqVj10a5NbSZVCSLiIiINEL7nadYnb2RQ+f24nF826drtdPaHc+w2GRGduuD\n3dY8V6bwBRXJIiIiIo3EqaJCVmVuJKtoDy7/AqB6ZYpQVwdSovsxLiGZFo4Ak1M2DSqSRURERBqw\novJzfJS5mYz8nZTZc7BYDQwHBFZE06dVHyYkDiIi+OqWbZSrpyJZREREpIGpcLn4dN920k5tp9B6\nDIutChzgVxFO95AExvccQseISLNjNmkqkkVEREQaAI/Hw1eHsvjyaDpOzyGwV4IfWCuD6GTvwS3d\nUundrqPZMZsNFckiIiIiJtpx/DCfHkzjWEU2huPct1tDO4jxJDCy80CGdO6hlSlMoCJZREREpJ4d\nznfy0d6N7C/LospRBIBhs9HKFceQ9knc1L0fDrufySmbNxXJIiIiIvUgr7SYD/dsYk/hLs478qq3\nhrZbCK5sx4CoftyaMJCQgECzY8q3VCSLiIiI1JHS8+f55950tuftpMh6HIvVAH8IqIgkMbw3ExIG\nEx3a0uyYchkqkkVERER8yFXl5vPsnWw4sY0CyxEsNjfYwV4ZSnxQIuO6p9I1qo3ZMaUWKpJFRERE\nrpPH4yHtyH7WHt5CjvsA+FWAHayuQGJtvZg8YARdW7Y1O6b8CCqSRURERK5RVs5x/pm9iSPn9+Fx\nlIIFsPgRVdWDGzomM7xrInarjcjIEPLySsyOKz+CimQRERGRH+HEmXw+3LuJ7OI9uPwLgeqtocNc\nnRjUJolbeiYR4OcwOaVcrzotkg3DYP78+WRnZ+NwOHjhhReIjY31Hl+1ahWvvfYadrudbt26MX/+\n/LqMIyIiInJNCstK+TAzjV1ndnHOL7d6ZQqHhRaVbegX0YfxCamEBwWZHVN8qE6L5DVr1lBZWcmK\nFSvYuXMnCxcuZMmSJQBUVFTwxz/+kVWrVuFwOHjsscf44osvGDlyZF1GEhEREbkq5ZWVfLJ3K5tz\nMyiyHcdi9YADHBWt6NmyF+MThtA+rJXZMaWO1GmRvG3bNoYPHw5A37592bNnj/eYw+FgxYoVOBzV\nb0e43W78/f3rMo6IiIjIFbk9VXx5YA9fHUsnzzgMdhf4ga0ymC6BPRnXfTA9YtqbHVPqQZ0WyaWl\npYSEhHx3M7sdj8eD1WrFYrHQqlX1v76WL19OeXk5Q4YMqcs4IiIiIj/g8XjYfvwQaw5t4bhrP/iV\ngw1w+dPO6M3oLoNI6dhVW0M3M3VaJAcHB1NWVuZ9fKFAvsAwDF566SWOHj3K4sWLr+qakZEhtZ9k\nMmX0DWX0DWX0jcaQUUR+nAPOU6zO3sTBc3vxOIqrn7TaiXDHMzx2ACO79cVus5kbUkxTp0VyUlIS\nX3zxBWPHjmXHjh1069btouPPPvssAQEB3j7lq9HQl09pDEu8KKNvKKNvNMeMKrhFzJNbVMiHWZvI\nOruHSv98oHpr6NDKDqTE9GNcQjItHAEmp5SGoE6L5DFjxrBhwwbuvPNOABYuXMiqVasoLy8nMTGR\nlStXMmDAAGbOnInFYmHWrFncdNNNdRlJREREmpni8nI+ytzM9vwdlNlzsFgNDAcEVkTTp1UfJiQO\nIiI41OyY0sDUaZFssVh47rnnLnquc+fO3q+zsrLq8vYiIiLSTFW4XHyWncGmU9sptBzFYqsCB/hV\nhNEtJJEJPYfQMSLS7JjSgGkzEREREWkSPB4PXx/ay7qjW3B6DoG9snpr6MoWdLL35JZug+jdrpPZ\nMaWRUJEsIiIijVr6oQP8Y9sXHKvIxnCcAyvgcRDjSWBEp4EM7dJDK1PIj6YiWURERBqdI/mn+Wjf\nRvaXZOH2PwuAYbPRyt2FwW0HMKZHPxx2P5NTSmOmIllEREQahfzSYj7MTGP3mV2cd5yu3hraz0Ko\nuz39IvoyPnEgIQGBZseUJkJFsoiIiDRYZRXn+WdWOunOHZTYT2CxGuAP/hWtSQzvzU8ShtArrn2D\nX0pSGh8VySIiItKguKuqWJO9k40ntlJgOQI2NzjAXhlK1xYJ3NpjMF2j2pgdU5o4FckiIiJiOo/H\nw+Yj+1l7eAun3AfArwLsYHEF0t6WyM1dU0nqEGd2TGlGVCSLiIiIafbmHOef+9M4XL4Xj6MULIDF\nj6iq7tzQMYXhXROxW7U1tNQ/FckiIiJSr04UFrAqaxP7ivfg8j8DgGG3EubqxKA2/bml5wAC/Bwm\np5TmTkWyiIiI1LnCsjJWZaWxs2An5/xyq1emcECLyjb0i+jD+IRUwoOCzI4p4qUiWUREROrEeVcl\nH2dtY3Pudopsx7FYPeAAR0Ureob2YnziENqHtTI7pshlqUgWERERn3F7qlh/YA/rj20lz/gG7C7w\nA1tlMJ0DezKueyo9Y2LNjilSKxXJIiIicl0Mw2D78W/47GAaJ1z7MfzKwQa4/Gln9GJUl0EM7Biv\nraGlUVGRLCIiItfkoDOHj7I3cujcXqocxdVPWu1EuOMZGjuA0d36YrdpZQppnFQki4g0M263m6ee\neoqTJ0/icrl44IEH6Nq1K0888QRWq5X4+HjmzZtndky5ClWeKvYVHmS7cydFlcUYhgGAwYX//5bh\n/cp77HKPvzvtu+/387Phcrm957irPJSWuyg5fx6X39nq8+wWQitjSY7uz62JybRwBPjsZxQx5KNR\nkgAAGmVJREFUi4pkEZFm5oMPPiA8PJyXXnqJ4uJibrvtNnr06MGjjz5KcnIy8+bNY82aNdx0001m\nR5XLMAyDI8XHSHdmsM25k1JXmU+vb8Fy8WOLBYzqYtowvldI2ywEVETRp1UfJiSm0jo41Kc5RMym\nIllEpJkZN24cY8eOBaCqqgqbzUZWVhbJyckA3HDDDWzcuFFFcgOTW3aadGcGW3MzyD9fvbZwsF8Q\nN7QbQkpMf9oHt8ViqS5xv1/oWiyWH1zrwvHLHbvAXeUh60ghOw4VsGl3DhWuKgA6RAeTmhDDoIRo\nwkP8ffgTijQsKpJFRJqZwMBAAEpLS3n44Yd55JFHWLRokfd4UFAQJSUlV3WtyMiQOsnoS40545lz\nZ9lwbCtfH93C4bPHAfC3+zO840CGdUyhd3RPn+5GZxgG2UcLWbf9BF/vPElRaSUAMREtuLF/e25M\nak9sdMN8PRvz77khUcbvqEgWEWmGcnJyeOihh5gxYwbjx4/n17/+tfdYWVkZoaFX99Z5Xt7VFdNm\niYwMaXQZz7nK2ZG3m/TcDA6c/QYDA6vFSq+IHqRE96d3ZCL+turd6AoLzvkkw6n8MtKynGzOyiXv\n7HkAQlr4MTqpPWOHdaZVoN0769wQX8/G+HtuiJprxpqKbhXJIiLNTH5+Pvfccw9z584lNTUVgJ49\ne5Kenk5KSgrr16/3Pi/1w1XlYk/BPtKdGWTm78VtVLc2dGnZiZTo/iRF9SHY4dvd6ApLKtic5SQt\nK5djzlIA/P1sDE6MJjUxhp4dw7HbrI2icBKpCyqSRUSamaVLl1JcXMySJUv485//jMVi4emnn2bB\nggW4XC7i4uK8PctSdzyGh/2Fh/i/w5mkHd9Oubt6BrdNUDQp0f1Jju5HRKBvd6M7d97F1uw80jJz\nyT52FgOwWS30jYtgUGI0/btG4u/Qkm0ioCJZRKTZefrpp3n66ad/8Pzy5ctNSNO8GIbB8ZKT3pUp\niiqr1xYO82/JsLappMT0p21QzBU/UPdjudxV7DxYQFqWk12H8nFXVS9PEd++JakJ0ST3iCKkhcNn\n9xNpKlQki4iI1LG8cwVsdWaQ7szAeS4PgBb2QIa2HcSY7kOJIAqrxXe70Xk8BvuOFZKW6WTb/tOU\nV1S3b7RrHURqYjSDekbTOizQZ/cTaYpUJIuIiNSB4soStjt3ke7M4Ej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FXMHBwZSWlv7g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\n",
"text/plain": [
"<matplotlib.figure.Figure at 0x10cc32c10>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"term_sheet = {\n",
" 'money_in': 5 # In $ millions. The amount of cash invested by the VC.\n",
" , 'post_money_valuation': 15 # In $ millions. Valuation after cash investment.\n",
" , 'liquidation_preference': 1.0 # As a multiple. E.g., 1x means 'money_in' is returned 100%.\n",
" , 'is_participating': False # Does the stock participate?\n",
" , 'participation_cap': None # If so, is there a participation cap?\n",
"}\n",
"plt.subplot(221)\n",
"scenarios = np.linspace(0, term_sheet['post_money_valuation']*10, 1000)\n",
"outcomes = [outcome_percent(term_sheet, x) for x in scenarios]\n",
"plt.plot(scenarios, outcomes)\n",
"plt.ylim(0, 1)\n",
"plt.xlim(scenarios.min(), scenarios.max())\n",
"plt.xlabel('Exit Amount ($M)')\n",
"plt.ylabel('VC Share of Exit Amount (\\%)')\n",
"\n",
"plt.subplot(222)\n",
"plt.plot(scenarios, outcomes*scenarios)\n",
"plt.ylim(0, scenarios.max())\n",
"plt.xlim(scenarios.min(), scenarios.max())\n",
"plt.xlabel('Exit Amount ($M)')\n",
"plt.ylabel('VC Share of Exit Amount ($)')\n",
" \n",
"plt.tight_layout()\n",
"plt.gcf().set_size_inches(10, 10)\n",
" \n",
"term_sheet = {\n",
" 'money_in': 7 # In $ millions. The amount of cash invested by the VC.\n",
" , 'post_money_valuation': 21 # In $ millions. Valuation after cash investment.\n",
" , 'liquidation_preference': 1.0 # As a multiple. E.g., 1x means 'money_in' is returned 100%.\n",
" , 'is_participating': True # Does the stock participate?\n",
" , 'participation_cap': 3 # If so, is there a participation cap?\n",
"}\n",
"plt.subplot(221)\n",
"scenarios = np.linspace(0, term_sheet['post_money_valuation']*10, 1000)\n",
"outcomes = [outcome_percent(term_sheet, x) for x in scenarios]\n",
"plt.plot(scenarios, outcomes)\n",
"plt.ylim(0, 1)\n",
"plt.xlim(scenarios.min(), 150)\n",
"plt.xlabel('Exit Amount ($M)')\n",
"plt.ylabel('VC Share of Exit Amount (\\%)')\n",
"plt.legend(('\\$5M at \\$15M post, No Participation', \"\\$7M at \\$21M post, 3x Capped Participation\"))\n",
"\n",
"plt.subplot(222)\n",
"plt.plot(scenarios, outcomes*scenarios)\n",
"plt.ylim(0, 150)\n",
"plt.xlim(scenarios.min(), 150)\n",
"plt.xlabel('Exit Amount ($M)')\n",
"plt.ylabel('VC Share of Exit Amount ($)')\n",
"plt.legend(('\\$5M at \\$15M post, No Participation', \"\\$7M at \\$21M post, 3x Capped Participation\"))\n",
"\n",
"plt.tight_layout()\n",
"plt.gcf().set_size_inches(10, 10)"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {
"collapsed": true
},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 2",
"language": "python",
"name": "python2"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 2
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython2",
"version": "2.7.11"
}
},
"nbformat": 4,
"nbformat_minor": 0
}
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