diff options
author | 2020-11-15 21:56:45 -0500 | |
---|---|---|
committer | 2020-11-15 21:56:45 -0500 | |
commit | 1cfc2e98ffbba1dc2a489ad415c81264b76d8c14 (patch) | |
tree | b342c3541a5728b775564d8a0f5c6e6d93784694 /Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb | |
parent | fix node type distance measure (diff) | |
download | VIATRA-Generator-1cfc2e98ffbba1dc2a489ad415c81264b76d8c14.tar.gz VIATRA-Generator-1cfc2e98ffbba1dc2a489ad415c81264b76d8c14.tar.zst VIATRA-Generator-1cfc2e98ffbba1dc2a489ad415c81264b76d8c14.zip |
code for paperRealistic-Generation-SURE
Diffstat (limited to 'Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb')
-rw-r--r-- | Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb | 54 |
1 files changed, 27 insertions, 27 deletions
diff --git a/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb b/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb index 5db66bb3..83ccfd67 100644 --- a/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb +++ b/Metrics/Metrics-Calculation/metrics_plot/Measurements/Measurement1/src/BoxPlot.ipynb | |||
@@ -2,7 +2,7 @@ | |||
2 | "cells": [ | 2 | "cells": [ |
3 | { | 3 | { |
4 | "cell_type": "code", | 4 | "cell_type": "code", |
5 | "execution_count": 173, | 5 | "execution_count": 70, |
6 | "metadata": {}, | 6 | "metadata": {}, |
7 | "outputs": [], | 7 | "outputs": [], |
8 | "source": [ | 8 | "source": [ |
@@ -20,7 +20,7 @@ | |||
20 | }, | 20 | }, |
21 | { | 21 | { |
22 | "cell_type": "code", | 22 | "cell_type": "code", |
23 | "execution_count": 174, | 23 | "execution_count": 71, |
24 | "metadata": {}, | 24 | "metadata": {}, |
25 | "outputs": [], | 25 | "outputs": [], |
26 | "source": [ | 26 | "source": [ |
@@ -39,11 +39,11 @@ | |||
39 | }, | 39 | }, |
40 | { | 40 | { |
41 | "cell_type": "code", | 41 | "cell_type": "code", |
42 | "execution_count": 175, | 42 | "execution_count": 150, |
43 | "metadata": {}, | 43 | "metadata": {}, |
44 | "outputs": [], | 44 | "outputs": [], |
45 | "source": [ | 45 | "source": [ |
46 | "domain = 'github'\n", | 46 | "domain = 'yakindu'\n", |
47 | "mpc_guide = getModels('../input/{}/MPC/'.format(domain), 100)\n", | 47 | "mpc_guide = getModels('../input/{}/MPC/'.format(domain), 100)\n", |
48 | "na_guide = getModels('../input/{}/NodeActivity/'.format(domain), 100)\n", | 48 | "na_guide = getModels('../input/{}/NodeActivity/'.format(domain), 100)\n", |
49 | "od_guide = getModels('../input/{}/OutDegree/'.format(domain), 100)\n", | 49 | "od_guide = getModels('../input/{}/OutDegree/'.format(domain), 100)\n", |
@@ -57,11 +57,11 @@ | |||
57 | }, | 57 | }, |
58 | { | 58 | { |
59 | "cell_type": "code", | 59 | "cell_type": "code", |
60 | "execution_count": 176, | 60 | "execution_count": 151, |
61 | "metadata": {}, | 61 | "metadata": {}, |
62 | "outputs": [], | 62 | "outputs": [], |
63 | "source": [ | 63 | "source": [ |
64 | "if domain == 'yakindumm':\n", | 64 | "if domain == 'yakindu':\n", |
65 | " type_map = {'Entry': 0.04257802080554814, 'Choice': 0.1267671379034409, 'State': 0.1596092291277674, 'Transition': 0.6138636969858629, 'Statechart': 0.010136036276340358, 'Region': 0.04467858095492131, 'Exit': 0.0018338223526273673, 'FinalState': 0.0005334755934915977}\n", | 65 | " type_map = {'Entry': 0.04257802080554814, 'Choice': 0.1267671379034409, 'State': 0.1596092291277674, 'Transition': 0.6138636969858629, 'Statechart': 0.010136036276340358, 'Region': 0.04467858095492131, 'Exit': 0.0018338223526273673, 'FinalState': 0.0005334755934915977}\n", |
66 | "elif domain == 'ecore':\n", | 66 | "elif domain == 'ecore':\n", |
67 | " type_map = {'EAttribute': 0.23539778449144008, 'EClass': 0.30996978851963747, 'EReference': 0.33081570996978854, 'EPackage': 0.012789526686807653, 'EAnnotation': 0.002517623363544813, 'EEnumLiteral': 0.07275931520644502, 'EEnum': 0.013645518630412891, 'EDataType': 0.004028197381671702, 'EParameter': 0.005941591137965764, 'EGenericType': 0.002014098690835851, 'EOperation': 0.009415911379657605, 'ETypeParameter': 0.0007049345417925478}\n", | 67 | " type_map = {'EAttribute': 0.23539778449144008, 'EClass': 0.30996978851963747, 'EReference': 0.33081570996978854, 'EPackage': 0.012789526686807653, 'EAnnotation': 0.002517623363544813, 'EEnumLiteral': 0.07275931520644502, 'EEnum': 0.013645518630412891, 'EDataType': 0.004028197381671702, 'EParameter': 0.005941591137965764, 'EGenericType': 0.002014098690835851, 'EOperation': 0.009415911379657605, 'ETypeParameter': 0.0007049345417925478}\n", |
@@ -71,7 +71,7 @@ | |||
71 | }, | 71 | }, |
72 | { | 72 | { |
73 | "cell_type": "code", | 73 | "cell_type": "code", |
74 | "execution_count": 177, | 74 | "execution_count": 152, |
75 | "metadata": {}, | 75 | "metadata": {}, |
76 | "outputs": [], | 76 | "outputs": [], |
77 | "source": [ | 77 | "source": [ |
@@ -94,7 +94,7 @@ | |||
94 | }, | 94 | }, |
95 | { | 95 | { |
96 | "cell_type": "code", | 96 | "cell_type": "code", |
97 | "execution_count": 178, | 97 | "execution_count": 153, |
98 | "metadata": {}, | 98 | "metadata": {}, |
99 | "outputs": [], | 99 | "outputs": [], |
100 | "source": [ | 100 | "source": [ |
@@ -105,7 +105,7 @@ | |||
105 | }, | 105 | }, |
106 | { | 106 | { |
107 | "cell_type": "code", | 107 | "cell_type": "code", |
108 | "execution_count": 179, | 108 | "execution_count": 154, |
109 | "metadata": {}, | 109 | "metadata": {}, |
110 | "outputs": [], | 110 | "outputs": [], |
111 | "source": [ | 111 | "source": [ |
@@ -123,7 +123,7 @@ | |||
123 | }, | 123 | }, |
124 | { | 124 | { |
125 | "cell_type": "code", | 125 | "cell_type": "code", |
126 | "execution_count": 180, | 126 | "execution_count": 155, |
127 | "metadata": {}, | 127 | "metadata": {}, |
128 | "outputs": [], | 128 | "outputs": [], |
129 | "source": [ | 129 | "source": [ |
@@ -140,7 +140,7 @@ | |||
140 | }, | 140 | }, |
141 | { | 141 | { |
142 | "cell_type": "code", | 142 | "cell_type": "code", |
143 | "execution_count": 181, | 143 | "execution_count": 156, |
144 | "metadata": {}, | 144 | "metadata": {}, |
145 | "outputs": [], | 145 | "outputs": [], |
146 | "source": [ | 146 | "source": [ |
@@ -153,17 +153,17 @@ | |||
153 | " result = plt.boxplot(distances)\n", | 153 | " result = plt.boxplot(distances)\n", |
154 | " ax1.xaxis.set_ticks_position(label_position) \n", | 154 | " ax1.xaxis.set_ticks_position(label_position) \n", |
155 | " texts = ax1.set_xticklabels(labels, rotation=90, fontsize=12)\n", | 155 | " texts = ax1.set_xticklabels(labels, rotation=90, fontsize=12)\n", |
156 | " plt.savefig('{}/{}.png'.format(output_path, title), dpi=500, bbox_inches=\"tight\")" | 156 | " plt.savefig('{}/{}.jpg'.format(output_path, title), dpi=500, bbox_inches=\"tight\")" |
157 | ] | 157 | ] |
158 | }, | 158 | }, |
159 | { | 159 | { |
160 | "cell_type": "code", | 160 | "cell_type": "code", |
161 | "execution_count": 182, | 161 | "execution_count": 157, |
162 | "metadata": {}, | 162 | "metadata": {}, |
163 | "outputs": [ | 163 | "outputs": [ |
164 | { | 164 | { |
165 | "data": { | 165 | "data": { |
166 | "image/png": "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\n", | 166 | "image/png": "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\n", |
167 | "text/plain": [ | 167 | "text/plain": [ |
168 | "<Figure size 360x144 with 1 Axes>" | 168 | "<Figure size 360x144 with 1 Axes>" |
169 | ] | 169 | ] |
@@ -185,12 +185,12 @@ | |||
185 | }, | 185 | }, |
186 | { | 186 | { |
187 | "cell_type": "code", | 187 | "cell_type": "code", |
188 | "execution_count": 183, | 188 | "execution_count": 158, |
189 | "metadata": {}, | 189 | "metadata": {}, |
190 | "outputs": [ | 190 | "outputs": [ |
191 | { | 191 | { |
192 | "data": { | 192 | "data": { |
193 | "image/png": "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\n", | 193 | "image/png": "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\n", |
194 | "text/plain": [ | 194 | "text/plain": [ |
195 | "<Figure size 360x144 with 1 Axes>" | 195 | "<Figure size 360x144 with 1 Axes>" |
196 | ] | 196 | ] |
@@ -212,12 +212,12 @@ | |||
212 | }, | 212 | }, |
213 | { | 213 | { |
214 | "cell_type": "code", | 214 | "cell_type": "code", |
215 | "execution_count": 184, | 215 | "execution_count": 159, |
216 | "metadata": {}, | 216 | "metadata": {}, |
217 | "outputs": [ | 217 | "outputs": [ |
218 | { | 218 | { |
219 | "data": { | 219 | "data": { |
220 | "image/png": "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\n", | 220 | "image/png": "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\n", |
221 | "text/plain": [ | 221 | "text/plain": [ |
222 | "<Figure size 360x144 with 1 Axes>" | 222 | "<Figure size 360x144 with 1 Axes>" |
223 | ] | 223 | ] |
@@ -239,36 +239,36 @@ | |||
239 | }, | 239 | }, |
240 | { | 240 | { |
241 | "cell_type": "code", | 241 | "cell_type": "code", |
242 | "execution_count": 185, | 242 | "execution_count": 160, |
243 | "metadata": {}, | 243 | "metadata": {}, |
244 | "outputs": [], | 244 | "outputs": [], |
245 | "source": [ | 245 | "source": [ |
246 | "def manual_ks(pdf1, pdf2):\n", | 246 | "def manual_manhatten(pdf1, pdf2):\n", |
247 | " result = 0\n", | 247 | " result = 0\n", |
248 | " sum1 = 0\n", | 248 | " sum1 = 0\n", |
249 | " sum2 = 0\n", | 249 | " sum2 = 0\n", |
250 | " for(a, b) in zip(pdf1, pdf2):\n", | 250 | " for(a, b) in zip(pdf1, pdf2):\n", |
251 | " sum1 += a\n", | 251 | " sum1 += a\n", |
252 | " sum2 += b\n", | 252 | " sum2 += b\n", |
253 | " result = max(result, abs(sum1-sum2))\n", | 253 | " result += abs(sum1-sum2)\n", |
254 | " return result\n" | 254 | " return result\n" |
255 | ] | 255 | ] |
256 | }, | 256 | }, |
257 | { | 257 | { |
258 | "cell_type": "code", | 258 | "cell_type": "code", |
259 | "execution_count": 186, | 259 | "execution_count": 161, |
260 | "metadata": {}, | 260 | "metadata": {}, |
261 | "outputs": [ | 261 | "outputs": [ |
262 | { | 262 | { |
263 | "name": "stdout", | 263 | "name": "stdout", |
264 | "output_type": "stream", | 264 | "output_type": "stream", |
265 | "text": [ | 265 | "text": [ |
266 | "['Commit', 'Issue', 'IssueEvent', 'Project', 'PullRequest', 'User']\n" | 266 | "['Choice', 'Entry', 'Exit', 'FinalState', 'Region', 'State', 'Statechart', 'Transition']\n" |
267 | ] | 267 | ] |
268 | }, | 268 | }, |
269 | { | 269 | { |
270 | "data": { | 270 | "data": { |
271 | "image/png": "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\n", | 271 | "image/png": "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\n", |
272 | "text/plain": [ | 272 | "text/plain": [ |
273 | "<Figure size 360x144 with 1 Axes>" | 273 | "<Figure size 360x144 with 1 Axes>" |
274 | ] | 274 | ] |
@@ -293,17 +293,17 @@ | |||
293 | " node_type_types.append(type_dists)\n", | 293 | " node_type_types.append(type_dists)\n", |
294 | "\n", | 294 | "\n", |
295 | "#since we already know the pdf, we can compute the ks distance manually\n", | 295 | "#since we already know the pdf, we can compute the ks distance manually\n", |
296 | "drawBoxDiagram('Node_Type', rep_type_dist, node_type_types, manual_ks, 'top')" | 296 | "drawBoxDiagram('Node_Type', rep_type_dist, node_type_types, manual_manhatten, 'top')" |
297 | ] | 297 | ] |
298 | }, | 298 | }, |
299 | { | 299 | { |
300 | "cell_type": "code", | 300 | "cell_type": "code", |
301 | "execution_count": 187, | 301 | "execution_count": 162, |
302 | "metadata": {}, | 302 | "metadata": {}, |
303 | "outputs": [ | 303 | "outputs": [ |
304 | { | 304 | { |
305 | "data": { | 305 | "data": { |
306 | "image/png": "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\n", | 306 | "image/png": "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\n", |
307 | "text/plain": [ | 307 | "text/plain": [ |
308 | "<Figure size 360x144 with 1 Axes>" | 308 | "<Figure size 360x144 with 1 Axes>" |
309 | ] | 309 | ] |