def main(argv):
filenames = argv
all_histograms = OrderedDict()
for histogram in histogram_tools.from_files(filenames):
name = histogram.name()
parameters = OrderedDict()
table = {
'boolean': '2',
'flag': '3',
'enumerated': '1',
'linear': '1',
'exponential': '0',
'count': '4',
}
# Use __setitem__ because Python lambdas are so limited.
histogram_tools.table_dispatch(histogram.kind(), table,
lambda k: parameters.__setitem__('kind', k))
if histogram.low() == 0:
parameters['min'] = 1
else:
parameters['min'] = histogram.low()
try:
buckets = histogram.ranges()
parameters['buckets'] = buckets
parameters['max'] = buckets[-1]
parameters['bucket_count'] = len(buckets)
except histogram_tools.DefinitionException:
continue
all_histograms.update({ name: parameters })
print json.dumps({ 'histograms': all_histograms})
def main(argv):
filenames = argv
all_histograms = OrderedDict()
for histogram in histogram_tools.from_files(filenames):
name = histogram.name()
parameters = OrderedDict()
table = {
'boolean': '2',
'flag': '3',
'enumerated': '1',
'linear': '1',
'exponential': '0',
'count': '4',
}
# Use __setitem__ because Python lambdas are so limited.
histogram_tools.table_dispatch(histogram.kind(), table,
lambda k: parameters.__setitem__('kind', k))
if histogram.low() == 0:
parameters['min'] = 1
else:
parameters['min'] = histogram.low()
try:
buckets = histogram.ranges()
parameters['buckets'] = buckets
parameters['max'] = buckets[-1]
parameters['bucket_count'] = len(buckets)
except histogram_tools.DefinitionException:
continue
all_histograms.update({ name: parameters });
print json.dumps({ 'histograms': all_histograms})
def main(argv):
filenames = argv
all_histograms = OrderedDict()
for histogram in histogram_tools.from_files(filenames):
name = histogram.name()
parameters = OrderedDict()
table = {"boolean": "2", "flag": "3", "enumerated": "1", "linear": "1", "exponential": "0", "count": "4"}
# Use __setitem__ because Python lambdas are so limited.
histogram_tools.table_dispatch(histogram.kind(), table, lambda k: parameters.__setitem__("kind", k))
if histogram.low() == 0:
parameters["min"] = 1
else:
parameters["min"] = histogram.low()
try:
buckets = histogram.ranges()
parameters["buckets"] = buckets
parameters["max"] = buckets[-1]
parameters["bucket_count"] = len(buckets)
except histogram_tools.DefinitionException:
continue
all_histograms.update({name: parameters})
if startup_histogram_re.search(name) is not None:
all_histograms.update({"STARTUP_" + name: parameters})
print json.dumps({"histograms": all_histograms})
def write_histogram_static_asserts(histograms):
print """
// Perform the checks at the beginning of HistogramGet at
// compile time, so that incorrect histogram definitions
// give compile-time errors, not runtime errors."""
table = {
"boolean": static_asserts_for_boolean,
"flag": static_asserts_for_flag,
"enumerated": static_asserts_for_enumerated,
"linear": static_asserts_for_linear,
"exponential": static_asserts_for_exponential,
}
for histogram in histograms:
histogram_tools.table_dispatch(histogram.kind(), table, lambda f: f(histogram))
def write_histogram_static_asserts(histograms):
print """
// Perform the checks at the beginning of HistogramGet at
// compile time, so that incorrect histogram definitions
// give compile-time errors, not runtime errors."""
table = {
'boolean': static_asserts_for_boolean,
'flag': static_asserts_for_flag,
'enumerated': static_asserts_for_enumerated,
'linear': static_asserts_for_linear,
'exponential': static_asserts_for_exponential,
}
for histogram in histograms:
histogram_tools.table_dispatch(histogram.kind(), table,
lambda f: f(histogram))
def write_histogram_static_asserts(output, histograms):
print("""
// Perform the checks at the beginning of HistogramGet at
// compile time, so that incorrect histogram definitions
// give compile-time errors, not runtime errors.""", file=output)
table = {
'boolean' : static_asserts_for_boolean,
'flag' : static_asserts_for_flag,
'count': static_asserts_for_count,
'enumerated' : static_asserts_for_enumerated,
'linear' : static_asserts_for_linear,
'exponential' : static_asserts_for_exponential,
}
for histogram in histograms:
histogram_tools.table_dispatch(histogram.kind(), table,
lambda f: f(output, histogram))
