- Timestamp:
- 01/20/11 14:12:39 (16 months ago)
- Location:
- trunk
- Files:
-
- 3 modified
-
src/io.py (modified) (2 diffs)
-
src/signals/pairs.py (modified) (1 diff)
-
test/test_spikes.py (modified) (8 diffs)
Legend:
- Unmodified
- Added
- Removed
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trunk/src/io.py
r476 r477 142 142 """ 143 143 self.metadata['dimensions'] = str(object.dimensions) 144 if len(object.id_list ()> 0):145 self.metadata['first_id'] = numpy.min(object.id_list ())146 self.metadata['last_id'] = numpy.max(object.id_list ())144 if len(object.id_list > 0): 145 self.metadata['first_id'] = numpy.min(object.id_list) 146 self.metadata['last_id'] = numpy.max(object.id_list) 147 147 if hasattr(object, "dt"): 148 148 self.metadata['dt'] = object.dt … … 250 250 """ 251 251 self.metadata['dimensions'] = str(object.dimensions) 252 self.metadata['first_id'] = numpy.min(object.id_list ())253 self.metadata['last_id'] = numpy.max(object.id_list ())252 self.metadata['first_id'] = numpy.min(object.id_list) 253 self.metadata['last_id'] = numpy.max(object.id_list) 254 254 if hasattr(object, 'dt'): 255 255 self.metadata['dt'] = object.dt -
trunk/src/signals/pairs.py
r411 r477 47 47 48 48 def _get_id_lists(self): 49 self.ids_1 = set(self.spk1.id_list ())50 self.ids_2 = set(self.spk2.id_list ())49 self.ids_1 = set(self.spk1.id_list) 50 self.ids_2 = set(self.spk2.id_list) 51 51 if self.no_silent: 52 52 n1 = set(self.spk1.select_ids("len(cell.spike_times) == 0")) -
trunk/test/test_spikes.py
r395 r477 226 226 227 227 def testCreateSpikeList(self): 228 assert numpy.all(self.spk.id_list ()== numpy.arange(10))228 assert numpy.all(self.spk.id_list == numpy.arange(10)) 229 229 230 230 def testGetItem(self): … … 262 262 263 263 def testId_SliceList(self): 264 assert numpy.all(self.spk.id_slice([0,1,2,3]).id_list ()== [0,1,2,3])264 assert numpy.all(self.spk.id_slice([0,1,2,3]).id_list == [0,1,2,3]) 265 265 266 266 def testTime_Slice(self): … … 312 312 correct = True 313 313 rates = self.spk.mean_rates() 314 for idx in xrange(len(self.spk.id_list ())):314 for idx in xrange(len(self.spk.id_list)): 315 315 if not(5 < rates[idx] < 15): 316 316 correct = False … … 339 339 self.spk.save("tmp.txt") 340 340 spk2 = spikes.load_spikelist("tmp.txt", id_list=[1,2,3]) 341 assert numpy.all(spk2.id_list ()== [1,2,3])341 assert numpy.all(spk2.id_list == [1,2,3]) 342 342 343 343 def testSaveAndLoadTxtIdsPartInt(self): … … 345 345 self.spk.save(file) 346 346 spk2 = spikes.load_spikelist(file, id_list=5) 347 assert numpy.all(spk2.id_list ()== [0,1,2,3,4])347 assert numpy.all(spk2.id_list == [0,1,2,3,4]) 348 348 349 349 def testSaveAndLoadPickle(self): … … 363 363 self.spk.save(file) 364 364 spk2 = spikes.load_spikelist(file, id_list=[1,2,3]) 365 assert numpy.all(spk2.id_list ()== [1,2,3])365 assert numpy.all(spk2.id_list == [1,2,3]) 366 366 367 367 def testSaveAndLoadPickleIdsPartInt(self): … … 369 369 self.spk.save(file) 370 370 spk2 = spikes.load_spikelist(file, id_list=5) 371 assert numpy.all(spk2.id_list ()== [0,1,2,3,4])371 assert numpy.all(spk2.id_list == [0,1,2,3,4]) 372 372 373 373 def testPairwise_Pearson_CorrCoeff(self): … … 399 399 def testIdOffset(self): 400 400 self.spk.id_offset(100) 401 assert numpy.all(self.spk.id_list ()== numpy.arange(100,110))401 assert numpy.all(self.spk.id_list == numpy.arange(100,110)) 402 402 403 403
