def main():
parser = ArgumentParser(description="Process GCTracer's NVP output")
parser.add_argument('keys',
metavar='KEY',
type=str,
nargs='+',
help='the keys of NVPs to process')
parser.add_argument('--histogram-type',
metavar='<linear|log2>',
type=str,
nargs='?',
default="linear",
help='histogram type to use (default: linear)')
linear_group = parser.add_argument_group('linear histogram specific')
linear_group.add_argument('--linear-histogram-granularity',
metavar='GRANULARITY',
type=int,
nargs='?',
default=5,
help='histogram granularity (default: 5)')
log2_group = parser.add_argument_group('log2 histogram specific')
log2_group.add_argument('--log2-histogram-init-bucket',
metavar='START',
type=int,
nargs='?',
default=64,
help='initial buck size (default: 64)')
parser.add_argument('--histogram-omit-empty-buckets',
dest='histogram_omit_empty',
action='store_true',
help='omit empty histogram buckets')
parser.add_argument('--no-histogram',
dest='histogram',
action='store_false',
help='do not print histogram')
parser.set_defaults(histogram=True)
parser.set_defaults(histogram_omit_empty=False)
args = parser.parse_args()
histogram = None
if args.histogram:
bucket_trait = None
if args.histogram_type == "log2":
bucket_trait = Log2Bucket(args.log2_histogram_init_bucket)
else:
bucket_trait = LinearBucket(args.linear_histogram_granularity)
histogram = Histogram(bucket_trait, not args.histogram_omit_empty)
categories = [Category(key, deepcopy(histogram)) for key in args.keys]
while True:
line = stdin.readline()
if not line:
break
obj = split_nvp(line)
for category in categories:
category.process_entry(obj)
for category in categories:
print(category)
def main():
parser = ArgumentParser(description="Process GCTracer's NVP output")
parser.add_argument('keys', metavar='KEY', type=str, nargs='+',
help='the keys of NVPs to process')
parser.add_argument('--histogram-type', metavar='<linear|log2>',
type=str, nargs='?', default="linear",
help='histogram type to use (default: linear)')
linear_group = parser.add_argument_group('linear histogram specific')
linear_group.add_argument('--linear-histogram-granularity',
metavar='GRANULARITY', type=int, nargs='?',
default=5,
help='histogram granularity (default: 5)')
log2_group = parser.add_argument_group('log2 histogram specific')
log2_group.add_argument('--log2-histogram-init-bucket', metavar='START',
type=int, nargs='?', default=64,
help='initial buck size (default: 64)')
parser.add_argument('--histogram-omit-empty-buckets',
dest='histogram_omit_empty',
action='store_true',
help='omit empty histogram buckets')
parser.add_argument('--no-histogram', dest='histogram',
action='store_false', help='do not print histogram')
parser.set_defaults(histogram=True)
parser.set_defaults(histogram_omit_empty=False)
parser.add_argument('--rank', metavar='<no|min|max|avg>',
type=str, nargs='?',
default="no",
help="rank keys by metric (default: no)")
parser.add_argument('--csv', dest='csv',
action='store_true', help='provide output as csv')
args = parser.parse_args()
histogram = None
if args.histogram:
bucket_trait = None
if args.histogram_type == "log2":
bucket_trait = Log2Bucket(args.log2_histogram_init_bucket)
else:
bucket_trait = LinearBucket(args.linear_histogram_granularity)
histogram = Histogram(bucket_trait, not args.histogram_omit_empty)
categories = [ Category(key, deepcopy(histogram), args.csv)
for key in args.keys ]
while True:
line = stdin.readline()
if not line:
break
obj = split_nvp(line)
for category in categories:
category.process_entry(obj)
# Filter out empty categories.
categories = [x for x in categories if not x.empty()]
if args.rank != "no":
categories = sorted(categories, key=make_key_func(args.rank), reverse=True)
for category in categories:
print(category)
def main():
parser = ArgumentParser(description="Process GCTracer's NVP output")
parser.add_argument('keys', metavar='KEY', type=str, nargs='+',
help='the keys (names) to process')
parser.add_argument('--histogram-granularity', metavar='GRANULARITY',
type=int, nargs='?', default=5,
help='histogram granularity (default: 5)')
parser.add_argument('--no-histogram-print-empty', dest='histogram_print_empty',
action='store_false',
help='print empty histogram buckets')
feature_parser = parser.add_mutually_exclusive_group(required=False)
feature_parser.add_argument('--histogram', dest='histogram',
action='store_true',
help='print histogram')
feature_parser.add_argument('--no-histogram', dest='histogram',
action='store_false',
help='do not print histogram')
parser.set_defaults(histogram=True)
parser.set_defaults(histogram_print_empty=True)
args = parser.parse_args()
histogram = None
if args.histogram:
histogram = Histogram(args.histogram_granularity, args.histogram_print_empty)
categories = [ Category(key, deepcopy(histogram))
for key in args.keys ]
while True:
line = stdin.readline()
if not line:
break
obj = split_nvp(line)
for category in categories:
category.process_entry(obj)
for category in categories:
print(category)
def main():
parser = ArgumentParser(description="Process GCTracer's NVP output")
parser.add_argument('keys',
metavar='KEY',
type=str,
nargs='+',
help='the keys of NVPs to process')
parser.add_argument('--histogram-type',
metavar='<linear|log2>',
type=str,
nargs='?',
default="linear",
help='histogram type to use (default: linear)')
linear_group = parser.add_argument_group('linear histogram specific')
linear_group.add_argument('--linear-histogram-granularity',
metavar='GRANULARITY',
type=int,
nargs='?',
default=5,
help='histogram granularity (default: 5)')
log2_group = parser.add_argument_group('log2 histogram specific')
log2_group.add_argument('--log2-histogram-init-bucket',
metavar='START',
type=int,
nargs='?',
default=64,
help='initial buck size (default: 64)')
parser.add_argument('--histogram-omit-empty-buckets',
dest='histogram_omit_empty',
action='store_true',
help='omit empty histogram buckets')
parser.add_argument('--no-histogram',
dest='histogram',
action='store_false',
help='do not print histogram')
parser.set_defaults(histogram=True)
parser.set_defaults(histogram_omit_empty=False)
parser.add_argument('--rank',
metavar='<no|min|max|avg>',
type=str,
nargs='?',
default="no",
help="rank keys by metric (default: no)")
parser.add_argument('--csv',
dest='csv',
action='store_true',
help='provide output as csv')
parser.add_argument('--percentiles',
dest='percentiles',
type=str,
default="",
help='comma separated list of percentiles')
args = parser.parse_args()
histogram = None
if args.histogram:
bucket_trait = None
if args.histogram_type == "log2":
bucket_trait = Log2Bucket(args.log2_histogram_init_bucket)
else:
bucket_trait = LinearBucket(args.linear_histogram_granularity)
histogram = Histogram(bucket_trait, not args.histogram_omit_empty)
percentiles = []
for percentile in args.percentiles.split(','):
try:
percentiles.append(float(percentile))
except ValueError:
pass
categories = [
Category(key, deepcopy(histogram), args.csv, percentiles)
for key in args.keys
]
while True:
line = stdin.readline()
if not line:
break
obj = split_nvp(line)
for category in categories:
category.process_entry(obj)
# Filter out empty categories.
categories = [x for x in categories if not x.empty()]
if args.rank != "no":
categories = sorted(categories,
key=make_key_func(args.rank),
reverse=True)
for category in categories:
print(category)