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learn.py and graphml
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‎ratc/learn.py‎

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import concore
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import numpy as np
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import matplotlib.pyplot as plt
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import time
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print("plot u")
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concore.delay = 0.005
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concore.default_maxtime(150)
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init_simtime_u = "[0.0, 0.0, 0.0, 0.0, 0.0, 0.0, 0.0]"
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init_simtime_ym = "[0.0, 0.0, 0.0]"
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u = concore.initval(init_simtime_u)
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ym = concore.initval(init_simtime_ym)
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ut = (concore.maxtime+1)*[np.array(u).T]
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ymt = (concore.maxtime+1)*[np.array(ym).T]
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oldsimtime = concore.simtime
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while(concore.simtime<concore.maxtime):
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while concore.unchanged():
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u = concore.read(concore.iport["VCY"],"u",init_simtime_u)
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ym = concore.read(concore.iport["VPY"],"ym",init_simtime_ym)
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if concore.simtime > oldsimtime:
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#if np.array_equal(ut[int(concore.simtime)], np.zeros((6))):
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#print(" u="+str(u))
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ut[int(concore.simtime)] = np.array(u).T
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#print(" ym="+str(ym))
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ymt[int(concore.simtime)] = np.array(ym).T
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oldsimtime = concore.simtime
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print("retry="+str(concore.retrycount))
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#print(ut)
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#print(ymt)
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#################
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# plot inputs and outputs
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u1 = [x[0].item() for x in ut]
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u2 = [x[1].item() for x in ut]
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u3 = [x[2].item() for x in ut]
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u4 = [x[3].item() for x in ut]
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u5 = [x[4].item() for x in ut]
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u6 = [x[5].item() for x in ut]
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Nsim = len(u1)
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plt.figure()
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plt.subplot(321)
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plt.plot(range(Nsim), u1)
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plt.ylabel('Pw1 (s)')
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plt.subplot(322)
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plt.plot(range(Nsim), u2)
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plt.ylabel('Pf1 (Hz)')
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plt.subplot(323)
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plt.plot(range(Nsim), u3)
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plt.xlabel('Learn Cycles')
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plt.ylabel('Pw2 (s)')
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plt.subplot(324)
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plt.plot(range(Nsim), u4)
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plt.ylabel('Pf2 (Hz)')
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plt.subplot(325)
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plt.plot(range(Nsim), u5)
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plt.ylabel('Pw3 (s)')
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plt.subplot(326)
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plt.plot(range(Nsim), u6)
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plt.xlabel('Learn Cycles')
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plt.ylabel('Pf3 (Hz)')
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plt.savefig("stim.pdf")
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plt.tight_layout()
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#################
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# plot inputs and outputs
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ym1 = [x[0].item() for x in ymt]
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ym2 = [x[1].item() for x in ymt]
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Nsim = len(ym1)
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plt.figure()
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plt.subplot(211)
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plt.plot(range(Nsim), ym1)
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plt.ylabel('MAP (mmHg)')
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plt.legend(['Learn MAP'], loc=0)
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plt.subplot(212)
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plt.plot(range(Nsim), ym2)
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plt.xlabel('Cycles')
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plt.ylabel('HR (bpm)')
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plt.legend(['Learn HR'], loc=0)
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plt.savefig("hrmap.pdf")
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plt.show()

‎ratc/yuyuLearn.graphml‎

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<?xml version="1.0" encoding="UTF-8" standalone="yes"?>
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<graphml xmlns="http://graphml.graphdrawing.org/xmlns" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://graphml.graphdrawing.org/xmlns http://www.yworks.com/xml/schema/graphml/1.1/ygraphml.xsd" xmlns:y="http://www.yworks.com/xml/graphml">
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<key for="node" id="d6" yfiles.type="nodegraphics"/>
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<key for="edge" id="d10" yfiles.type="edgegraphics"/>
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<graph edgedefault="directed" id="1660317522276" projectName="yuyu">
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<node id="2a3ff522-1af9-438a-8107-ab0962a23366">
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<data key="d6">
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<y:ShapeNode>
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<y:Geometry height="50" width="166" x="377.83026050564774" y="87.03998784813307"/>
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<y:Fill color="#ffcc00" opacity="1"/>
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<y:BorderStyle color="#000" width="1"/>
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<y:NodeLabel>CZ:cvxpymatcore.py</y:NodeLabel>
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<y:Shape type="rectangle"/>
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</y:ShapeNode>
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</data>
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</node>
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<y:Fill color="#ffcc00" opacity="1"/>
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<y:BorderStyle color="#000" width="1"/>
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<y:NodeLabel>PZ:pmcvxpymatcore.py</y:NodeLabel>
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<y:Shape type="rectangle"/>
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</y:ShapeNode>
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</data>
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<y:NodeLabel>LZ:learn.py</y:NodeLabel>
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<y:LineStyle color="#607d8b" width="1" type="solid"/>
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<y:Arrows source="none" target="delta"/>
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<y:EdgeLabel>VCY</y:EdgeLabel>
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92+
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93+
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94+
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95+
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96+
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101+
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104+
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105+
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106+
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107+
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108+
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109+
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110+
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111+
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112+
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113+
<authorName>mark</authorName>
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<inverse>
115+
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116+
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117+
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118+
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119+
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120+
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122+
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125+
<authorName>mark</authorName>
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<inverse>
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128+
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129+
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130+
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132+
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139+
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140+
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141+
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142+
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143+
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144+
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146+
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147+
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148+
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149+
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151+
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152+
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153+
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154+
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155+
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156+
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157+
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160+
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161+
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162+
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164+
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165+
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166+
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167+
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168+
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169+
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172+
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173+
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174+
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175+
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176+
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177+
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<actionName>ADD_NODE</actionName>
216+
<parameters>WyJMWjpsZWFybi5weSIseyJ3aWR0aCI6MTAwLCJoZWlnaHQiOjUwLCJzaGFwZSI6InJlY3RhbmdsZSIsIm9wYWNpdHkiOjEsImJhY2tncm91bmRDb2xvciI6IiNmZmNjMDAiLCJib3JkZXJDb2xvciI6IiMwMDAiLCJib3JkZXJXaWR0aCI6MX0sIm9yZGluIix7IngiOjE2MSwieSI6MTc0fSx7fSwiZmVhNzU5ZWQtZWFkNi00M2IxLWEzY2YtOTY5MDgxMmE2ZjA5Il0=</parameters>
217+
</equivalent>
218+
</actionHistory>
219+
<actionHistory>
220+
<tid>1660317548640</tid>
221+
<authorName>mark</authorName>
222+
<inverse>
223+
<actionName>SET_POS</actionName>
224+
<parameters>WyJmZWE3NTllZC1lYWQ2LTQzYjEtYTNjZi05NjkwODEyYTZmMDkiLHsieCI6MTAwLCJ5IjoxMDB9LHsieCI6MTYxLCJ5IjoxNzR9XQ==</parameters>
225+
</inverse>
226+
<equivalent>
227+
<actionName>SET_POS</actionName>
228+
<parameters>WyJmZWE3NTllZC1lYWQ2LTQzYjEtYTNjZi05NjkwODEyYTZmMDkiLHsieCI6MTYxLCJ5IjoxNzR9LHsieCI6MTAwLCJ5IjoxMDB9XQ==</parameters>
229+
</equivalent>
230+
</actionHistory>
231+
<actionHistory>
232+
<tid>1660317557559</tid>
233+
<authorName>mark</authorName>
234+
<inverse>
235+
<actionName>DEL_EDGE</actionName>
236+
<parameters>WyI3MDFiMmUwZS0wNzQxLTQ5NTMtYTk3Yy1mZWY0YTI2YTQzYTQiXQ==</parameters>
237+
</inverse>
238+
<equivalent>
239+
<actionName>ADD_EDGE</actionName>
240+
<parameters>W3sic291cmNlSUQiOiIyYTNmZjUyMi0xYWY5LTQzOGEtODEwNy1hYjA5NjJhMjMzNjYiLCJ0YXJnZXRJRCI6ImZlYTc1OWVkLWVhZDYtNDNiMS1hM2NmLTk2OTA4MTJhNmYwOSIsImlkIjoiNzAxYjJlMGUtMDc0MS00OTUzLWE5N2MtZmVmNGEyNmE0M2E0In1d</parameters>
241+
</equivalent>
242+
</actionHistory>
243+
<actionHistory>
244+
<tid>1660317565265</tid>
245+
<authorName>mark</authorName>
246+
<inverse>
247+
<actionName>DEL_EDGE</actionName>
248+
<parameters>WyI5NjQxNWIxYy0yOGY4LTQzNjktYjViMi00YzE0OTQ4OWRjOTAiXQ==</parameters>
249+
</inverse>
250+
<equivalent>
251+
<actionName>ADD_EDGE</actionName>
252+
<parameters>W3sic291cmNlSUQiOiJiZDZhYTIwNi00MWRkLTQxNWUtOTM1My0yZTJmYWZkZTdkYzIiLCJ0YXJnZXRJRCI6ImZlYTc1OWVkLWVhZDYtNDNiMS1hM2NmLTk2OTA4MTJhNmYwOSIsImlkIjoiOTY0MTViMWMtMjhmOC00MzY5LWI1YjItNGMxNDk0ODlkYzkwIn1d</parameters>
253+
</equivalent>
254+
</actionHistory>
255+
</graph>
256+
</graphml>

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