コード例 #1
0
def reduce_cross(in_path, step=50):
    feat_dict = feats.read(in_path)[0]
    n = int(feat_dict.dim()[0] / step)
    acc, dataset = [], []
    for i in range(n):
        feat_i = reduction.reduce(feat_dict, (i + 1) * step)
        dataset.append(feat_i)
        acc.append(rename.cross_validate(feat_i))
        print(acc)
    k = np.argmax(acc)
    return ((k + 1) * step)
コード例 #2
0
ファイル: ts.py プロジェクト: tjacek/dtw_feats
def make_reduced_dataset(common, out_path, n_feats=350):
    common = files.get_paths(common)
    dataset = ens.read_dataset(common, None)[0]
    dataset.norm()
    redu_data = reduction.reduce(dataset, n_feats)
    redu_data.save(out_path)
コード例 #3
0
ファイル: reduce_data.py プロジェクト: JHBONN/scintellometry
        args.telescope = 'lofar'
        # already channelized, determined from filehandle
        # (previously args.nchan = 20)
        args.ntw_min = 1020
        args.waterfall = False
        args.verbose += 1
        args.rfi_filter_raw = None

    elif args.reduction_defaults == 'aro':
        # do little, most args are already set to aro.py defaults
        args.telescope = 'aro'
        args.ntw_min = 1020
        args.verbose += 1
        args.rfi_filter_raw = rfi_filter_raw

    elif args.reduction_defaults == 'gmrt':
        args.telescope = 'gmrt'
        args.nchan = 512
        args.ngate = 512
        args.ntbin = 5
        # 170 /(100.*u.MHz/6.) * 512 = 0.0052224 s = 256 bins/pulse
        args.ntw_min = 170
        args.rfi_filter_raw = None
        args.verbose += 1
    reduce(
        args.telescope, args.date, tstart=args.tstart, tend=args.tend,
        nchan=args.nchan, ngate=args.ngate, ntbin=args.ntbin,
        ntw_min=args.ntw_min, rfi_filter_raw=args.rfi_filter_raw,
        do_waterfall=args.waterfall, do_foldspec=args.foldspec,
        dedisperse=args.dedisperse, fref=args.fref, verbose=args.verbose)
コード例 #4
0
# !/usr/bin/python

import sys
from reduction import reduce

COLS = {
    'ts': 0,
    'src': 1,
    'src_name': 2,
    'type': 3,
    'dst': 4
}

if __name__ == '__main__':
    forward_file_path = sys.argv[1]
    backward_file_path = sys.argv[2]
    out_dir = sys.argv[3]
    
    reduce(forward_file_path, backward_file_path, out_dir)
コード例 #5
0
ファイル: reduce_data.py プロジェクト: ywis/scintellometry
    elif args.reduction_defaults == 'aro':
        # do little, most args are already set to aro.py defaults
        args.telescope = 'aro'
        args.ntw_min = 1020
        args.verbose += 1
        args.rfi_filter_raw = rfi_filter_raw

    elif args.reduction_defaults == 'gmrt':
        args.telescope = 'gmrt'
        args.nchan = 512
        args.ngate = 512
        args.ntbin = 5
        # 170 /(100.*u.MHz/6.) * 512 = 0.0052224 s = 256 bins/pulse
        args.ntw_min = 170
        args.rfi_filter_raw = None
        args.verbose += 1
    reduce(args.telescope,
           args.date,
           tstart=args.tstart,
           tend=args.tend,
           nchan=args.nchan,
           ngate=args.ngate,
           ntbin=args.ntbin,
           ntw_min=args.ntw_min,
           rfi_filter_raw=args.rfi_filter_raw,
           do_waterfall=args.waterfall,
           do_foldspec=args.foldspec,
           dedisperse=args.dedisperse,
           fref=args.fref,
           verbose=args.verbose)