#!/usr/bin/env python
'''
Aggregate bump data into the reductions file.
'''
import numpy as np
from grid_cell_model.parameters import JobTrialSpace2D
from aggregate import AggregationParser
parser = AggregationParser()
parser.add_flag('--bump')
parser.add_flag('--positions')
parser.add_flag('--isBump')
parser.add_flag('--uniformML')
parser.add_flag('--AC')
parser.add_flag('--FR_e')
parser.add_flag('--FR_i')
args = parser.parse_args()
trialNumList = range(args.ntrials)
varListBase = ['analysis']
loadData = not args.noLoadData
################################################################################
for subDir in parser.subdirs:
rootDir = '{0}/{1}'.format(args.where, subDir)
print rootDir, parser.shape
sp = JobTrialSpace2D(parser.shape, rootDir)
if args.bump or args.all:
#!/usr/bin/env python
'''Aggregate velocity analysis outputs.'''
import numpy as np
from grid_cell_model.parameters import JobTrialSpace2D
from aggregate import AggregationParser
parser = AggregationParser()
parser.add_flag('--line_fits')
args = parser.parse_args()
varListBase = ['analysis']
################################################################################
for subDir in parser.subdirs:
rootDir = '{0}/{1}'.format(args.where, subDir)
print rootDir, parser.shape
sp = JobTrialSpace2D(parser.shape, rootDir)
if args.line_fits or args.all:
sp.aggregateData(varListBase + ['lineFitErr'],
funReduce=np.sum, trialNumList='all-at-once',
saveData=True, output_dtype='array',
loadData=parser.load_data)
sp.aggregateData(varListBase + ['lineFitSlope'],
funReduce=None, trialNumList='all-at-once',
saveData=True, output_dtype='array',
loadData=parser.load_data)
sp.aggregateData(varListBase + ['bumpVelAll'],
funReduce=None, trialNumList='all-at-once',
#!/usr/bin/env python
'''
Aggregate grid field data into the reductions file.
'''
import numpy as np
from grid_cell_model.parameters import JobTrialSpace2D
from aggregate import AggregationParser
parser = AggregationParser()
parser.add_flag('--gridFields')
parser.add_flag('--gridFields_i_cells')
parser.add_flag('--FR')
args = parser.parse_args()
trialNumList = range(args.ntrials)
varListBase = ['analysis']
varListBase_i = ['analysis', 'i_fields']
################################################################################
for subDir in parser.subdirs:
rootDir = '{0}/{1}'.format(args.where, subDir)
print rootDir, parser.shape
sp = JobTrialSpace2D(parser.shape, rootDir)
if args.gridFields or args.all:
sp.aggregateData(varListBase + ['rateMap_e'],
trialNumList,
funReduce=None,
saveData=True,
#!/usr/bin/env python
'''
Aggregate bump data into the reductions file.
'''
import numpy as np
from grid_cell_model.parameters import JobTrialSpace2D
from aggregate import AggregationParser
parser = AggregationParser()
parser.add_flag('--bump')
parser.add_flag('--positions')
parser.add_flag('--isBump')
parser.add_flag('--uniformML')
parser.add_flag('--AC')
parser.add_flag('--FR_e')
parser.add_flag('--FR_i')
args = parser.parse_args()
trialNumList = range(args.ntrials)
varListBase = ['analysis']
loadData = not args.noLoadData
################################################################################
for subDir in parser.subdirs:
rootDir = '{0}/{1}'.format(args.where, subDir)
print rootDir, parser.shape
sp = JobTrialSpace2D(parser.shape, rootDir)
if args.bump or args.all:
