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importnumpyasnp
#Neuralsignalprocessingandamplificationfornanorobots
classNanoRobot:
def__init__(self,id,amplification_threshold=1。2):
self。id=id#Uniqueidentifierforthenanorobot
self。amplification_threshold=amplification_threshold#Minimumsignalstrengthtotriggeramplification
self。repair_mode=False#Indicatorifrepairmodeisactive
#Captureandanalyzetheneuralsignal
defcapture_signal(self,signal):
processed_signal=self。filter_noise(signal)
ifprocessed_signal<self。amplification_threshold:
print(f"Robot{self。id}:Weaksignaldetected,bypassingamplification。")
returnprocessed_signal
returnself。amplify_signal(processed_signal)
#Filternoisefromthesignalusingbasicthresholding
deffilter_noise(self,signal):
noise_reduction_factor=np。random。uniform(0。95,1。05)#Simulatenoisefiltering
filtered_signal=signal*noise_reduction_factor
print(f"Robot{self。id}:Signalfilteredto{filtered_signal}")
returnfiltered_signal
#Amplifythesignalifitsaboveacertainthreshold
defamplify_signal(self,signal):
amplification_factor=np。random。uniform(1。5,2。0)#Randomamplificationwithinrange
amplified_signal=signal*amplification_factor
print(f"Robot{self。id}:Amplifiedsignalto{amplified_signal}")
小主,这个章节后面还有哦,请点击下一页继续阅读,后面更精彩!
returnamplified_signal
#Checkforcelldamageandinitiaterepairifneeded
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