Rosetta 3.3
Namespaces | Functions | Variables
src/python/apps/public/sd.py File Reference

Namespaces

namespace  sd

Functions

def sd::syntax

Variables

list sd::non_numerical_cols
 sd::showfilename = False
 Analyse options.
 sd::multifilemode = False
 sd::summode = False
 sd::normalize_sums = False
 sd::normalize_all = False
 sd::offset_sums = False
 sd::offset_all = False
 sd::columnbreak = False
list sd::columns = []
list sd::files = []
list sd::sums = []
string sd::next_sum_type = ""
 sd::column_name = arg
 sd::sum_type = next_sum_type
list sd::final_data = []
list sd::lines = []
 now iterate through files and print columns etc.
tuple sd::file = gzip.open(filename,"r")
 gzipped
 sd::donetitles = False
list sd::names = []
tuple sd::token = string.split(l)
 SCORE LINE.
 sd::Error = False
 SCORE LINE HEADERS.
 sd::brokenline = False
 if it does not then ignore this line - we assume it's corrupted
 sd::is_nonnumtag = False
 Check columns for correctness.
tuple sd::t = float( token[i] )
 print n,i,token[i] if we're here, the tag is considered a numeric one and thus must pass the float conversion test
tuple sd::newdataline = dict()
 Ignore broken lines!
list sd::combined_data = []
 record the filename as "data"
int sd::sum = 0
 sd::sumactive = False
list sd::new_combined_data_line = []
tuple sd::range_data = dict()
tuple sd::perc_high = dict()
tuple sd::perc_low = dict()
tuple sd::value = float(i)
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