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#!/usr/bin/env python
# Initialize the valid hdf5
import os
import sys
import h5py
import numpy
import data
_fields = {
'trip_id': 'S19',
'call_type': numpy.uint8,
'origin_call': numpy.uint32,
'origin_stand': numpy.uint8,
'taxi_id': numpy.uint16,
'timestamp': numpy.uint32,
'day_type': numpy.uint8,
'missing_data': numpy.bool,
'latitude': data.Polyline,
'longitude': data.Polyline,
'destination_latitude': numpy.float32,
'destination_longitude': numpy.float32,
'travel_time': numpy.uint32,
}
def init_valid(path):
h5file = h5py.File(path, 'w')
for k, v in _fields.items():
h5file.create_dataset(k, (0,), dtype=v, maxshape=(None,))
split_array = numpy.empty(len(_fields), dtype=numpy.dtype([
('split', 'a', 64),
('source', 'a', 21),
('start', numpy.int64, 1),
('stop', numpy.int64, 1),
('available', numpy.bool, 1),
('comment', 'a', 1)]))
split_array[:]['split'] = 'dummy'.encode('utf8')
for (i, k) in enumerate(_fields.keys()):
split_array[i] = k.encode('utf8')
split_array[:]['start'] = 0
split_array[:]['stop'] = 0
split_array[:]['available'] = False
split_array[:]['comment'] = '.'.encode('utf8')
h5file.attrs['split'] = split_array
h5file.flush()
h5file.close()
if __name__ == '__main__':
if len(sys.argv) > 2:
print >> sys.stderr, 'Usage: %s [file]' % sys.argv[0]
sys.exit(1)
init_valid(sys.argv[1] if len(sys.argv) == 2 else os.path.join(data.path, 'valid.hdf5'))
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