def Example1():
expt = Experiment()
expt.end_category = 12
expt.waveform = 'sine'
expt.notes = [60]
expt.input = 'velocity'
expt.output = 'ampl'
expt.compare = True
# Define the values to write to parameter 29 Category 12. In this example, only
# one value (90) is written.
expt.parameter_sequence = ParameterSequence.SingleParameter(29,
12, [90],
compare=True)
expt.run()
expt.analyse()
expt.save_results()
for exp_name, cell_type, layer in lines:
exp_path = os.path.join(src_dir, '{}{}'.format(exp_name,
exp_extension))
if not os.path.exists(exp_path):
raise ValueError("File {} does not exist".format(exp_path))
else:
print(shell_hilite('Processing: {}'.format(exp_path), 'green'))
os.chdir(os.path.dirname(exp_path))
exp = Experiment(exp_path,
ext=args.extension,
cell_type=cell_type,
layer=layer)
exps.append(exp)
if args.resample_matrices:
exp.resample_matrices()
exp.analyse(do_spiking_difference=args.do_spiking_difference,
do_spiking_ratio=args.do_spiking_ratio)
exp.write()
exp.plotter.plot(True)
significant_directions = []
significant_directions_r2 = []
if exp.significant_counter_clockwise:
significant_directions.append("counter_clockwise")
if exp.significant_clockwise:
significant_directions.append("clockwise")
if exp.significant_r2_counter_clockwise:
significant_directions_r2.append('counter_clockwise')
if exp.significant_r2_clockwise:
significant_directions_r2.append('clockwise')
print("Significant directions: {}".format(significant_directions))
if len(significant_directions) == 2:
args[2]: (str) figures file extension
args[3]: (bool) doSpikingDifference
args[4]: (bool) doSpikingRatio
"""
expPath = sys.argv[1]
if not os.path.exists(expPath):
raise ValueError("file does not exist")
extension = sys.argv[2]
plotOnly = sys.argv[5]
# checkFigExtension(extension)
os.chdir(os.path.dirname(expPath))
exp = Experiment(expPath, ext=extension)
if not plotOnly:
exp.analyse(do_spiking_difference=bool(sys.argv[3]),
do_spiking_ratio=bool(sys.argv[4]))
exp.write()
#class vestPhysTests(object)
# def testVect():
# testValues = ((0, 2), (12, 3), (5, 1))
# results = ((), (), ())
# for valPair, resultPair in zip(testValues, results):
# assert vect(valPair )== resultPair, 'Problem in testVect'
# def _testBinVector(self, vect):
# xData = self.xData
# bins = self.bins
# levels = np.digitize(xData, bins)
# levelTypes = set(levels)
# startLevelN = 0
