def generate_gifs(network_dir, condition, sub_name):
r = ReadReports(network_dir)
get_info = GetInformation(r, use_cache=True)
hosts = get_info.get_hosts()
network_name = os.path.basename(network_dir)
correct_value = get_info.get_correct_values(condition)
for host in hosts:
values = get_info.get_iterations(condition, sub_name, host, "Estimated values")
output_dir_name = network_name + os.sep + condition + os.sep + sub_name + os.sep + host
GenerateGifs.generate_gifs_for_one_host(output_dir_name, host, correct_value, values)
class GetProcessedInformation(object):
def __init__(self, reports):
assert type(reports) is ReadReports
self.reports = reports
self.information = GetInformation(reports)
@staticmethod
def get_diff_max(correct_value, iterations):
"""In this example, the biggest difference is (5-1) = 4
>>> correct_value = [1,2,3,4,5]
>>> iterations = [[1,1,1,1,1], [2,2,2,2,2], [3,3,3,3,3]]
>>> GetProcessedInformation.get_diff_max(correct_value, iterations) == 4
True
"""
zipped = zip(*iterations)
maxes = map(max, zipped)
mins = map(min, zipped)
diffs1 = map(abs, map(operator.sub, maxes, correct_value))
diffs2 = map(abs, map(operator.sub, mins, correct_value))
result = [max(i, j) for i, j in zip(diffs1, diffs2)]
return max(result)
@staticmethod
def get_sum_hosts(r):
"""
When key is "Sent": this list is returned
index - host, [Sum of single + aggr, number of single, number of aggr]
[[9, 9, 0], [9, 9, 0], [1, 1, 0], [9, 9, 0], [17, 17, 0], [9, 9, 0], [1, 1, 0], [1, 1, 0]]
>>> d = get_simple_test_dir() + os.sep + "test_network1"
>>> info = GetInformation(ReadReports(d), use_cache=False)
>>> r = info.get_sent("normal","singles")
>>> GetProcessedInformation.get_sum_hosts(r)[0] == [9,9,0]
True
"""
results = []
for host, value in r.items():
results.append(sum_lists_column(value))
return results
def get_sent_total_sum(self, condition, sub_name):
"""
>>> d = get_simple_test_dir() + os.sep + "test_network1"
>>> info = GetProcessedInformation(ReadReports(d))
>>> info.get_sent_total_sum("normal","singles") == [56,56,0]
True
"""
results = []
r = self.information.get_sent(condition, sub_name)
v = self.get_sum_hosts(r)
return sum_lists_column(v)
def get_received_total_sum(self, condition, sub_name):
"""
>>> d = get_simple_test_dir() + os.sep + "test_network1"
>>> info = GetProcessedInformation(ReadReports(d))
>>> info.get_received_total_sum("normal","singles") == [56,56,0]
True
"""
results = []
r = self.information.get_received(condition, sub_name)
r = self.get_sum_hosts(r)
return sum_lists_column(r)
def get_size(self, condition, sub_name):
return (self.get_sent_total_sum(condition, sub_name), self.get_received_total_sum(condition, sub_name))
def get_speed(self, condition, sub_name):
"""
>>> d = get_simple_test_dir() + os.sep + "test_network1"
>>> r = ReadReports(d)
>>> info = GetProcessedInformation(r)
>>> info.get_speed("normal","singles") == [4.75, 4, 5]
True
"""
# {'host7': 5, 'host6': 4, 'host5': 5, 'host4': 5, 'host3': 4, 'host2': 5, 'host1': 5, 'host8': 5}
null_io = self.information.get_last_non_null_io(condition, sub_name)
# print self.information.get_null_io(condition, sub_name)
l = simple_dict_to_list(null_io)
return [avg(l), min(l), max(l)]
def get_accuracy(self, condition, sub_name):
"""
>>> d = get_simple_test_dir() + os.sep + "test_network1"
>>> info = GetProcessedInformation(ReadReports(d))
>>> info.get_accuracy("normal","singles") == [100.0, 100.0]
True
"""
precisions = self.information.get_precision(condition, sub_name)
lists = simple_dict_to_list(precisions)
last_list = map(lambda m: m[-1], lists)
return avg_lists_column(last_list)
def get_identified_rate(self, condition, sub_name):
"""
>>> d = get_simple_test_dir() + os.sep + "test_network1"
>>> info = GetProcessedInformation(ReadReports(d))
>>> info.get_identified_rate("normal","singles") == [100.0, 8, 8, 100.0, 8, 8]
True
"""
precisions = self.information.get_identified_rate(condition, sub_name)
lists = simple_dict_to_list(precisions)
last_list = map(lambda m: m[-1], lists)
return avg_lists_column(last_list)
def get_cohorts(self, condition, sub_name):
"""
>>> d = get_simple_test_dir() + os.sep + "test_network1"
>>> info = GetProcessedInformation(ReadReports(d))
>>> info.get_cohorts("normal","singles") == [0.0, 0, 0]
True
"""
precisions = self.information.get_average_number_of_cohorts(condition, sub_name)
lists = simple_dict_to_list(precisions)
last_list = map(lambda m: m[-1], lists)
return avg_lists_column(last_list)
def __init__(self, reports):
assert type(reports) is ReadReports
self.reports = reports
self.information = GetInformation(reports)