def parse_transactions(data_source: Iterable[list]):
return map(lambda record: Transaction(*record), dsv_reader(data_source))
def hacker_reader(data_source: Iterable[str],
filter_method: [None, Callable[[Hacker], bool]] = None):
return filter(filter_method,
map(lambda d: hacker_init(*d), dsv_reader(data_source)))
from dsv import dsv_reader, dsv_generator
from sys import stdout, stderr, stdin
r = dsv_reader(stdin, delimiter=',')
c = list(r)[1:]
source_fields = 'name,last_name,nick,email,cad_id,has_hs_keys,has_gate_keys,groups,membership_declaration,entry_date'.split(
',')
pm = []
for h in c:
ph = []
group_vals = False
for v in h:
if group_vals:
if v.endswith('"'):
group_vals = False
ph[-1].append(v[:-1])
elif v.startswith('"'):
group_vals = True
ph.append([
v[1:],
])
else:
ph.append(v)
pm.append(ph)
from data_structures import Hacker
pm = filter(
lambda m: m[source_fields.index('membership_declaration')].strip() !=
'nie', pm)
hackers = []
for m in pm:
kwargs = dict()
for f in Hacker.fields:
def classificator_main(input_file, output_file):
transactions = map(lambda record: Transaction(*record),
dsv_reader(input_file))
monthly_report = generate_monthly_report(transactions)
output_file.writelines(monthly_report_as_dsv(monthly_report))
def event_reader(event_source: Iterable[str]) -> Iterable[Event]:
for event_data in filter(is_line_not_empty, dsv_reader(event_source)):
try:
yield Event(*event_data)
except Exception as e:
raise EventReaderException(f"failed to read event line: {event_data}:\n{e}")