data = {}
csv_obj = csv.reader(text, delimiter="\t", quotechar='"')
rows = [x for x in csv_obj]
variables = list(
set([
y[0] for x in rows
for y in re.findall("%(\w+)(\([\w,]*\))?%", x[0])
]))
data['length'] = len(rows)
data['speech_acts'] = list(
set([y for x in rows for y in x[1].split(',') if bool(y)]))
data['num_speech_acts'] = len(data['speech_acts'])
data['variables'] = variables
# TODO parse text?
return data
if __name__ == "__main__":
queue = [join("data", "tsv")]
input_ext = ".tsv"
output_lists = []
output_ext = ".tsv_analysis"
utils.standard_main(queue, input_ext, extract_from_file, output_lists,
output_ext)
def accum_final(data):
return data
if __name__ == "__main__":
queue = join("data","xml","CiFStates")
input_ext = ".xml"
output_lists = []
output_ext = ".xml_rule_analysis"
initial_accum = {'_cif_state_components': set(),
'_prom_week_components' : set(),
'_cif_library_components' : set(),
'_cif_state_counts': {},
'_prom_week_counts' : {},
'_cif_library_counts' : {},
'__all_counts' : {}
}
utils.standard_main(queue,
input_ext,
extract_from_file,
output_lists,
output_ext,
accumulator=accumulator,
accumulator_final=accum_final,
init_accum=initial_accum)