def csvzip(csv_in1, csv_in2, csv_out, keep_id=False):
i_csv_in1 = iter(csv_in1)
i_csv_in2 = iter(csv_in2)
header1 = Header(i_csv_in1.next())
header2 = Header(i_csv_in2.next())
id_field = get_id_field(header1, header2)
extract_id1 = header1.extractor(id_field)
extract_id2 = header2.extractor(id_field)
extract_output1 = extractor(header1, id_field)
extract_output2 = extractor(header2, id_field)
def zip_rows(row1, row2):
zip_id1 = extract_id1(row1)
zip_id2 = extract_id2(row2)
if zip_id1 != zip_id2:
raise IdMismatch
output = extract_output1(row1) + extract_output2(row2)
if keep_id:
return [zip_id1] + output
else:
return output
csv_out.writerow(zip_rows(list(header1), list(header2)))
csv_out.writerows(
zip_rows(row1, row2)
for row1, row2 in itertools.izip(i_csv_in1, i_csv_in2))
def __init__(self, target, *args):
Header.__init__(self, target, *args)
self._start()
if type(self.ports) == tuple or len(self.ports) == 1:
self._Non_thread_scanning()
else:
self._Multi_threads_scanning()
def csvzip(csv_in1, csv_in2, csv_out, keep_id=False):
i_csv_in1 = iter(csv_in1)
i_csv_in2 = iter(csv_in2)
header1 = Header(i_csv_in1.next())
header2 = Header(i_csv_in2.next())
id_field = get_id_field(header1, header2)
id_extractor1 = header1.extractor(id_field)
id_extractor2 = header2.extractor(id_field)
output_extractors1 = extractors(header1, id_field)
output_extractors2 = extractors(header2, id_field)
def extract(extractors, row):
return [extractor(row) for extractor in extractors]
def zip_rows(row1, row2):
zip_id1 = id_extractor1(row1)
zip_id2 = id_extractor2(row2)
if zip_id1 != zip_id2:
raise IdMismatch
output = (extract(output_extractors1, row1) +
extract(output_extractors2, row2))
if keep_id:
return [zip_id1] + output
else:
return output
csv_out.writerow(zip_rows(list(header1), list(header2)))
for row1, row2 in itertools.izip(i_csv_in1, i_csv_in2):
csv_out.writerow(zip_rows(row1, row2))
def csvzip(csv_in1, csv_in2, csv_out, keep_id=False):
i_csv_in1 = iter(csv_in1)
i_csv_in2 = iter(csv_in2)
header1 = Header(i_csv_in1.next())
header2 = Header(i_csv_in2.next())
id_field = get_id_field(header1, header2)
extract_id1 = header1.extractor(id_field)
extract_id2 = header2.extractor(id_field)
extract_output1 = extractor(header1, id_field)
extract_output2 = extractor(header2, id_field)
def zip_rows(row1, row2):
zip_id1 = extract_id1(row1)
zip_id2 = extract_id2(row2)
if zip_id1 != zip_id2:
raise IdMismatch
output = extract_output1(row1) + extract_output2(row2)
if keep_id:
return [zip_id1] + output
else:
return output
csv_out.writerow(zip_rows(list(header1), list(header2)))
csv_out.writerows(
zip_rows(row1, row2)
for row1, row2 in itertools.izip(i_csv_in1, i_csv_in2))
def csvzip(csv_in1, csv_in2, csv_out, keep_id=False):
i_csv_in1 = iter(csv_in1)
i_csv_in2 = iter(csv_in2)
header1 = Header(i_csv_in1.next())
header2 = Header(i_csv_in2.next())
id_field = get_id_field(header1, header2)
id_extractor1 = header1.extractor(id_field)
id_extractor2 = header2.extractor(id_field)
output_extractors1 = extractors(header1, id_field)
output_extractors2 = extractors(header2, id_field)
def extract(extractors, row):
return [extractor(row) for extractor in extractors]
def zip_rows(row1, row2):
zip_id1 = id_extractor1(row1)
zip_id2 = id_extractor2(row2)
if zip_id1 != zip_id2:
raise IdMismatch
output = (
extract(output_extractors1, row1)
+ extract(output_extractors2, row2))
if keep_id:
return [zip_id1] + output
else:
return output
csv_out.writerow(zip_rows(list(header1), list(header2)))
for row1, row2 in itertools.izip(i_csv_in1, i_csv_in2):
csv_out.writerow(zip_rows(row1, row2))
def __init__(self, aByteOrder):
"""Constructor"""
Header.__init__ (self,
PacketHeader,
aByteOrder)
