本文整理汇总了Python中stats.Stats.total_revenue方法的典型用法代码示例。如果您正苦于以下问题：Python Stats.total_revenue方法的具体用法？Python Stats.total_revenue怎么用？Python Stats.total_revenue使用的例子？那么恭喜您, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类stats.Stats的用法示例。
在下文中一共展示了Stats.total_revenue方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: main
# 需要导入模块: from stats import Stats [as 别名]
# 或者: from stats.Stats import total_revenue [as 别名]
def main(args):
usage_msg = "Usage: %prog [options] PeerClass1[,cnt] PeerClass2[,cnt2] ..."
parser = OptionParser(usage=usage_msg)
def usage(msg):
print "Error: %s\n" % msg
parser.print_help()
sys.exit()
parser.add_option("--loglevel",
dest="loglevel", default="info",
help="Set the logging level: 'debug' or 'info'")
parser.add_option("--mech",
dest="mechanism", default="gsp",
help="Set the mechanim: 'gsp' or 'vcg' or 'switch'")
parser.add_option("--num-rounds",
dest="num_rounds", default=48, type="int",
help="Set number of rounds")
parser.add_option("--min-val",
dest="min_val", default=25, type="int",
help="Min per-click value, in cents")
parser.add_option("--max-val",
dest="max_val", default=175, type="int",
help="Max per-click value, in cents")
parser.add_option("--budget",
dest="budget", default=500000, type="int",
help="Total budget, in cents")
parser.add_option("--reserve",
dest="reserve", default=0, type="int",
help="Reserve price, in cents")
parser.add_option("--perms",
dest="max_perms", default=120, type="int",
help="Max number of value permutations to run. Set to 1 for debugging.")
parser.add_option("--iters",
dest="iters", default=1, type="int",
help="Number of different value draws to sample. Set to 1 for debugging.")
parser.add_option("--seed",
dest="seed", default=None, type="int",
help="seed for random numbers")
(options, args) = parser.parse_args()
# leftover args are class names:
# e.g. "Truthful BBAgent CleverBidder Fred"
if len(args) == 0:
# default
agents_to_run = ['Truthful', 'Truthful', 'Truthful']
else:
agents_to_run = parse_agents(args)
configure_logging(options.loglevel)
if options.seed != None:
random.seed(options.seed)
# Add some more config options
options.agent_class_names = agents_to_run
options.agent_classes = load_modules(options.agent_class_names)
options.dropoff = 0.75
logging.info("Starting simulation...")
n = len(agents_to_run)
totals = dict((id, 0) for id in range(n))
total_revenues = []
approx = math.factorial(n) > options.max_perms
if approx:
num_perms = options.max_perms
logging.warning(
"Running approximation: taking %d samples of value permutations"
% options.max_perms)
else:
num_perms = math.factorial(n)
av_value=range(0,n)
total_spent = [0 for i in range(n)]
## iters = no. of samples to take
for i in range(options.iters):
values = get_utils(n, options)
logging.info("==== Iteration %d / %d. Values %s ====" % (i, options.iters, values))
## Create permutations (permutes the random values, and assigns them to agents)
if approx:
perms = [shuffled(values) for i in range(options.max_perms)]
else:
perms = itertools.permutations(values)
#.........这里部分代码省略.........
示例2: main
# 需要导入模块: from stats import Stats [as 别名]
# 或者: from stats.Stats import total_revenue [as 别名]
def main(args):
usage_msg = "Usage: %prog [options] PeerClass1[,cnt] PeerClass2[,cnt2] ..."
parser = OptionParser(usage=usage_msg)
def usage(msg):
print "Error: %s\n" % msg
parser.print_help()
sys.exit()
parser.add_option("--loglevel",
dest="loglevel", default="info",
help="Set the logging level: 'debug' or 'info'")
parser.add_option("--mech",
dest="mechanism", default="gsp",
help="Set the mechanim: 'gsp' or 'vcg' or 'switch'")
parser.add_option("--num-rounds",
dest="num_rounds", default=48, type="int",
help="Set number of rounds")
parser.add_option("--min-val",
dest="min_val", default=25, type="int",
help="Min per-click value, in cents")
parser.add_option("--max-val",
dest="max_val", default=175, type="int",
help="Max per-click value, in cents")
parser.add_option("--budget",
dest="budget", default=500000, type="int",
help="Total budget, in cents")
parser.add_option("--reserve",
dest="reserve", default=0, type="int",
help="Reserve price, in cents")
parser.add_option("--perms",
dest="max_perms", default=120, type="int",
help="Max number of value permutations to run. Set to 1 for debugging.")
parser.add_option("--iters",
dest="iters", default=1, type="int",
help="Number of different value draws to sample. Set to 1 for debugging.")
parser.add_option("--seed",
dest="seed", default=None, type="int",
help="seed for random numbers")
(options, args) = parser.parse_args()
# leftover args are class names:
# e.g. "Truthful BBAgent CleverBidder Fred"
if len(args) == 0:
# default
agents_to_run = ['Truthful', 'Truthful', 'Truthful']
else:
agents_to_run = parse_agents(args)
configure_logging(options.loglevel)
if options.seed != None:
random.seed(options.seed)
# Add some more config options
options.agent_class_names = agents_to_run
options.agent_classes = load_modules(options.agent_class_names)
options.dropoff = 0.75
logging.info("Starting simulation...")
n = len(agents_to_run)
totals = dict((id, 0) for id in range(n))
total_revenues = []
approx = math.factorial(n) > options.max_perms
if approx:
num_perms = options.max_perms
logging.warning(
"Running approximation: taking %d samples of value permutations"
% options.max_perms)
else:
num_perms = math.factorial(n)
av_value=range(0,n)
total_spent = [0 for i in range(n)]
""" Additional statistics to follow """
agents_spent_stats = [] ### For spending statistics information
agents_util_stats = [] ### For utility statistics
for i in range(n):
agents_spent_stats.append([])
agents_util_stats.append([])
""" ------------------------------- """
## iters = no. of samples to take
for i in range(options.iters):
#.........这里部分代码省略.........