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geraintpalmergeraintpalmer
committed
update to Ciw 1.1.5
1 parent 7ba209d commit edca8e0

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-246
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‎Basic Queueing Network.ipynb

Lines changed: 42 additions & 30 deletions
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@@ -29,62 +29,78 @@
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"cell_type": "code",
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"execution_count": 2,
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"metadata": {
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"collapsed": false
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"import ciw\n",
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"import matplotlib\n",
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"import matplotlib.pyplot as plt"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### First define the parameters dictionary"
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"(ensure latest version of libraries)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 3,
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"metadata": {},
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"outputs": [],
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"source": [
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"assert ciw.__version__ == '1.1.5'\n",
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"assert matplotlib.__version__ == '2.0.0'"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### First define the and create a Network object"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"params = {\n",
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" 'Arrival_distributions': {'Class 0': [['Exponential', 6.0], ['Exponential', 2.5]]},\n",
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" 'Number_of_nodes': 2,\n",
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" 'Number_of_servers': [1, 1],\n",
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" 'Queue_capacities': ['Inf', 4],\n",
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" 'Number_of_classes': 1,\n",
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" 'Service_distributions': {'Class 0': [['Exponential', 8.5], ['Exponential', 5.5]]},\n",
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" 'Transition_matrices': {'Class 0': [[0.0, 0.2], [0.1, 0.0]]}\n",
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"}"
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"N = ciw.create_network(\n",
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" Arrival_distributions=[['Exponential', 6.0], ['Exponential', 2.5]],\n",
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" Number_of_servers=[1, 1],\n",
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" Queue_capacities=['Inf', 4],\n",
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" Service_distributions=[['Exponential', 8.5], ['Exponential', 5.5]],\n",
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" Transition_matrices=[[0.0, 0.2], [0.1, 0.0]]\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"### Now create a Network object from that dictionary, and simulate for 1000 time units"
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"### Now create a Simulation object, and simulate for 1000 time units"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 4,
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"execution_count": 5,
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"metadata": {
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"collapsed": true
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},
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"outputs": [],
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"source": [
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"N = ciw.create_network(params)\n",
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"ciw.seed(0)\n",
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"Q = ciw.Simulation(N)"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 5,
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"execution_count": 6,
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"metadata": {
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"collapsed": true
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},
@@ -102,7 +118,7 @@
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},
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{
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"cell_type": "code",
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"execution_count": 6,
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"execution_count": 7,
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"metadata": {
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"collapsed": true
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},
@@ -113,9 +129,9 @@
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},
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{
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"cell_type": "code",
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"execution_count": 7,
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"execution_count": 8,
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"metadata": {
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"collapsed": false
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"collapsed": true
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},
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"outputs": [],
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"source": [
@@ -124,16 +140,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 8,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 9,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"0.3170468290245843\n"
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"0.3216866783621386\n"
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]
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}
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],
@@ -144,16 +158,14 @@
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},
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{
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"cell_type": "code",
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"execution_count": 9,
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"metadata": {
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"collapsed": false
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},
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"execution_count": 10,
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"metadata": {},
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"outputs": [
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{
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"data": {
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}

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