@@ -182,13 +182,13 class VoltageProcessor: | |||||
182 | self.plotObjIndex += 1 |
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182 | self.plotObjIndex += 1 | |
183 |
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183 | |||
184 |
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184 | |||
185 |
def addIntegrator(self, |
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185 | def addIntegrator(self, *args): | |
186 |
objCohInt = CoherentIntegrator( |
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186 | objCohInt = CoherentIntegrator(*args) | |
187 | self.integratorObjList.append(objCohInt) |
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187 | self.integratorObjList.append(objCohInt) | |
188 |
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188 | |||
189 | def addWriter(self, wrpath, blocksPerFile, profilesPerBlock): |
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189 | def addWriter(self, *args): | |
190 | writerObj = VoltageWriter(self.dataOutObj) |
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190 | writerObj = VoltageWriter(self.dataOutObj) | |
191 | writerObj.setup(wrpath,blocksPerFile,profilesPerBlock) |
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191 | writerObj.setup(*args) | |
192 | self.writerObjList.append(writerObj) |
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192 | self.writerObjList.append(writerObj) | |
193 |
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193 | |||
194 | def writeData(self, wrpath, blocksPerFile, profilesPerBlock): |
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194 | def writeData(self, wrpath, blocksPerFile, profilesPerBlock): | |
@@ -203,86 +203,170 class VoltageProcessor: | |||||
203 |
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203 | |||
204 | self.writerObjIndex += 1 |
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204 | self.writerObjIndex += 1 | |
205 |
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205 | |||
206 |
def integrator(self, |
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206 | def integrator(self, nCohInt=None, timeInterval=None, overlapping=False): | |
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207 | ||||
207 | if self.dataOutObj.flagNoData: |
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208 | if self.dataOutObj.flagNoData: | |
208 | return 0 |
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209 | return 0 | |
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210 | ||||
209 | if len(self.integratorObjList) <= self.integratorObjIndex: |
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211 | if len(self.integratorObjList) <= self.integratorObjIndex: | |
210 |
self.addIntegrator( |
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212 | self.addIntegrator(nCohInt, timeInterval, overlapping) | |
211 |
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213 | |||
212 | myCohIntObj = self.integratorObjList[self.integratorObjIndex] |
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214 | myCohIntObj = self.integratorObjList[self.integratorObjIndex] | |
213 |
myCohIntObj.exe(data=self.dataOutObj.data,time |
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215 | myCohIntObj.exe(data = self.dataOutObj.data, datatime=None) | |
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216 | ||||
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217 | self.dataOutObj.flagNoData = True | |||
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218 | ||||
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219 | if myCohIntObj.isReady: | |||
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220 | self.dataOutObj.flagNoData = False | |||
214 |
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221 | |||
215 |
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222 | |||
216 |
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223 | |||
217 | class CoherentIntegrator: |
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224 | class CoherentIntegrator: | |
218 |
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225 | |||
219 | integ_counter = None |
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226 | ||
220 | data = None |
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227 | __profIndex = 0 | |
221 | navg = None |
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228 | __withOverapping = False | |
222 | buffer = None |
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229 | ||
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230 | __isByTime = False | |||
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231 | __initime = None | |||
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232 | __integrationtime = None | |||
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233 | ||||
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234 | __buffer = None | |||
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235 | ||||
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236 | isReady = False | |||
223 | nCohInt = None |
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237 | nCohInt = None | |
224 |
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238 | |||
225 | def __init__(self, N=None,timeInterval=None): |
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239 | ||
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240 | def __init__(self, nCohInt=None, timeInterval=None, overlapping=False): | |||
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241 | ||||
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242 | """ | |||
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243 | Set the parameters of the integration class. | |||
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244 | ||||
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245 | Inputs: | |||
226 |
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246 | ||
227 | self.data = None |
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247 | nCohInt : Number of coherent integrations | |
228 | self.navg = None |
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248 | timeInterval : Time of integration. If nCohInt is selected this parameter does not work | |
229 | self.buffer = None |
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249 | overlapping : | |
230 | self.timeOut = None |
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250 | ||
231 | self.exitCondition = False |
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251 | """ | |
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252 | ||||
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253 | self.__buffer = None | |||
232 | self.isReady = False |
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254 | self.isReady = False | |
233 | self.nCohInt = N |
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234 | self.integ_counter = 0 |
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235 | if timeInterval!=None: |
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236 | self.timeIntervalInSeconds = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line |
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237 |
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255 | |||
238 |
if |
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256 | if nCohInt == None and timeInterval == None: | |
239 |
raise ValueError, " |
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257 | raise ValueError, "nCohInt or timeInterval should be specified ..." | |
240 |
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258 | |||
241 |
if |
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259 | if nCohInt != None: | |
242 |
self.t |
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260 | self.nCohInt = nCohInt | |
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261 | self.__isByTime = False | |||
243 | else: |
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262 | else: | |
244 | self.timeFlag = True |
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263 | self.__integrationtime = timeInterval * 60. #if (type(timeInterval)!=integer) -> change this line | |
245 |
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264 | self.__isByTime = True | ||
246 | def exe(self, data, timeOfData): |
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247 |
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265 | |||
248 |
if |
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266 | if overlapping: | |
249 |
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267 | self.__withOverapping = True | |
250 | self.timeOut = timeOfData + self.timeIntervalInSeconds |
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268 | self.__buffer = None | |
251 |
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252 | if timeOfData < self.timeOut: |
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253 | if self.buffer == None: |
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254 | self.buffer = data |
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255 | else: |
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256 | self.buffer = self.buffer + data |
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257 | self.integ_counter += 1 |
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258 | else: |
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259 | self.exitCondition = True |
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260 |
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261 | else: |
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269 | else: | |
262 | if self.integ_counter < self.nCohInt: |
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270 | self.__withOverapping = False | |
263 |
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271 | self.__buffer = 0 | |
264 | self.buffer = data |
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272 | ||
265 | else: |
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273 | self.__profIndex = 0 | |
266 | self.buffer = self.buffer + data |
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274 | ||
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275 | def putData(self, data): | |||
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276 | ||||
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277 | """ | |||
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278 | Add a profile to the __buffer and increase in one the __profileIndex | |||
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279 | ||||
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280 | """ | |||
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281 | if not self.__withOverapping: | |||
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282 | self.__buffer += data | |||
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283 | self.__profIndex += 1 | |||
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284 | return | |||
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285 | ||||
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286 | #Overlapping data | |||
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287 | nChannels, nProfiles = data.shape | |||
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288 | data = numpy.reshape(data, (1, nChannels, nProfiles)) | |||
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289 | ||||
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290 | if self.__buffer == None: | |||
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291 | self.__buffer = data | |||
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292 | self.__profIndex += 1 | |||
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293 | return | |||
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294 | ||||
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295 | if self.__profIndex < self.nCohInt: | |||
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296 | self.__buffer = numpy.vstack((self.__buffer, data)) | |||
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297 | self.__profIndex += 1 | |||
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298 | return | |||
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299 | ||||
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300 | self.__buffer = numpy.roll(self.__buffer, -1, axis=0) | |||
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301 | self.__buffer[self.nCohInt-1] = data | |||
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302 | #self.__profIndex = self.nCohInt | |||
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303 | return | |||
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304 | ||||
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305 | ||||
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306 | def pushData(self): | |||
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307 | """ | |||
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308 | Return the sum of the last profiles and the profiles used in the sum. | |||
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309 | ||||
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310 | Affected: | |||
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311 | ||||
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312 | self.__profileIndex | |||
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313 | ||||
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314 | """ | |||
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315 | ||||
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316 | if not self.__withOverapping: | |||
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317 | data = self.__buffer | |||
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318 | nCohInt = self.__profIndex | |||
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319 | ||||
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320 | self.__buffer = 0 | |||
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321 | self.__profIndex = 0 | |||
267 |
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322 | |||
268 | self.integ_counter += 1 |
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323 | return data, nCohInt | |
269 |
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324 | |||
270 | if self.integ_counter == self.nCohInt: |
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325 | #Overlapping data | |
271 | self.exitCondition = True |
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326 | data = numpy.sum(self.__buffer, axis=0) | |
272 |
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327 | nCohInt = self.__profIndex | ||
273 | if self.exitCondition: |
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328 | ||
274 | self.data = self.buffer |
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329 | return data, nCohInt | |
275 | self.navg = self.integ_counter |
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330 | ||
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331 | def byProfiles(self, data): | |||
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332 | ||||
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333 | self.isReady = False | |||
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334 | avg_data = None | |||
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335 | ||||
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336 | self.putData(data) | |||
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337 | ||||
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338 | if self.__profIndex == self.nCohInt: | |||
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339 | avg_data, nCohInt = self.pushData() | |||
276 | self.isReady = True |
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340 | self.isReady = True | |
277 | self.buffer = None |
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341 | ||
278 | self.timeOut = None |
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342 | return avg_data | |
279 | self.integ_counter = 0 |
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343 | ||
280 | self.exitCondition = False |
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344 | def byTime(self, data, datatime): | |
281 |
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345 | ||
282 | if self.timeFlag: |
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346 | self.isReady = False | |
283 | self.buffer = data |
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347 | avg_data = None | |
284 | self.timeOut = timeOfData + self.timeIntervalInSeconds |
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348 | ||
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349 | if self.__initime == None: | |||
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350 | self.__initime = datatime | |||
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351 | ||||
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352 | self.putData(data) | |||
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353 | ||||
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354 | if (datatime - self.__initime) >= self.__integrationtime: | |||
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355 | avg_data, nCohInt = self.pushData() | |||
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356 | self.nCohInt = nCohInt | |||
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357 | self.isReady = True | |||
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358 | ||||
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359 | return avg_data | |||
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360 | ||||
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361 | def exe(self, data, datatime=None): | |||
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362 | ||||
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363 | if not self.__isByTime: | |||
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364 | avg_data = self.byProfiles(data) | |||
285 | else: |
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365 | else: | |
286 | self.isReady = False |
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366 | avg_data = self.byTime(data, datatime) | |
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367 | ||||
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368 | self.data = avg_data | |||
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369 | ||||
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370 | return avg_data | |||
287 |
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371 | |||
288 |
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372 |
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