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authorNathan Binkert <binkertn@umich.edu>2005-10-21 16:29:13 -0400
committerNathan Binkert <binkertn@umich.edu>2005-10-21 16:29:13 -0400
commite00237e49e3cb171a1235f5de43587e8eb31ec2c (patch)
tree4430d3aae17e97a048be4f803264c6830a605df3
parent8ab674582e88582f06d729237d9cb1c00562451e (diff)
downloadgem5-e00237e49e3cb171a1235f5de43587e8eb31ec2c.tar.xz
Major cleanup of the statistics handling code
util/stats/db.py: Build a result object as the result of a query operation so it is easier to populate and contains a bit more information than just a big dict. Also change the next level data into a matrix instead of a dict of dicts. Move the "get" function into the Database object. (The get function is used by the output parsing function as the interface for accessing backend storage, same interface for profile stuff.) Change the old get variable to the method variable, it describes how the get works, (whether using sum, stdev, etc.) util/stats/display.py: Clean up the display functions, mostly formatting. Handle values the way they should be now. util/stats/info.py: Totally re-work how values are accessed from their data store. Access individual values on demand instead of calculating everything and passing up a huge result from the bottom. This impacts the way that proxying works, and in general, everything is now esentially a proxy for the lower level database. Provide new operators: unproxy, scalar, vector, value, values, total, and len which retrieve the proper result from the object they are called on. Move the ProxyGroup stuff (proxies of proxies!) here from the now gone proxy.py file and integrate the shared parts of the code. The ProxyGroup stuff allows you to write formulas without specifying the statistics until evaluation time. Get rid of global variables! util/stats/output.py: Move the dbinfo stuff into the Database itself. Each source should have it's own get() function for accessing it's data. This get() function behaves a bit differently than before in that it can return vectors as well, deal with these vectors and with no result conditions better. util/stats/stats.py: the info module no longer has the source global variable, just create the database source and pass it around as necessary --HG-- extra : convert_revision : 8e5aa228e5d3ae8068ef9c40f65b3a2f9e7c0cff
-rw-r--r--util/stats/db.py72
-rw-r--r--util/stats/display.py97
-rw-r--r--util/stats/info.py669
-rw-r--r--util/stats/output.py52
-rwxr-xr-xutil/stats/stats.py96
5 files changed, 478 insertions, 508 deletions
diff --git a/util/stats/db.py b/util/stats/db.py
index ab005e67b..0d321a360 100644
--- a/util/stats/db.py
+++ b/util/stats/db.py
@@ -103,6 +103,20 @@ class Node(object):
def __str__(self):
return self.name
+class Result(object):
+ def __init__(self, x, y):
+ self.data = {}
+ self.x = x
+ self.y = y
+
+ def __contains__(self, run):
+ return run in self.data
+
+ def __getitem__(self, run):
+ if run not in self.data:
+ self.data[run] = [ [ 0.0 ] * self.y for i in xrange(self.x) ]
+ return self.data[run]
+
class Database(object):
def __init__(self):
self.host = 'zizzer.pool'
@@ -135,7 +149,23 @@ class Database(object):
self.runs = None
self.bins = None
self.ticks = None
- self.__dict__['get'] = type(self).sum
+ self.method = 'sum'
+ self._method = type(self).sum
+
+ def get(self, job, stat):
+ run = self.allRunNames.get(job.name, None)
+ if run is None:
+ print 'run "%s" not found' % job
+ return None
+
+ from info import scalar, vector, value, total, len
+ stat.system = self[job.system]
+ if scalar(stat):
+ return value(stat, run.run)
+ if vector(stat):
+ return values(stat, run.run)
+
+ return None
def query(self, sql):
self.cursor.execute(sql)
@@ -203,7 +233,7 @@ class Database(object):
self.query('select * from stats')
import info
for result in self.cursor.fetchall():
- stat = info.NewStat(StatData(result))
+ stat = info.NewStat(self, StatData(result))
self.append(stat)
self.allStats.append(stat)
self.allStatIds[stat.stat] = stat
@@ -421,30 +451,17 @@ class Database(object):
def stdev(self, stat, bins, ticks):
return self.outer('stddev', 'sum', stat, bins, ticks)
- def __getattribute__(self, attr):
- if attr != 'get':
- return super(Database, self).__getattribute__(attr)
-
- if self.__dict__['get'] == type(self).sum:
- return 'sum'
- elif self.__dict__['get'] == type(self).avg:
- return 'avg'
- elif self.__dict__['get'] == type(self).stdev:
- return 'stdev'
- else:
- return ''
-
def __setattr__(self, attr, value):
- if attr != 'get':
- super(Database, self).__setattr__(attr, value)
+ super(Database, self).__setattr__(attr, value)
+ if attr != 'method':
return
if value == 'sum':
- self.__dict__['get'] = type(self).sum
+ self._method = self.sum
elif value == 'avg':
- self.__dict__['get'] = type(self).avg
+ self._method = self.avg
elif value == 'stdev':
- self.__dict__['get'] = type(self).stdev
+ self._method = self.stdev
else:
raise AttributeError, "can only set get to: sum | avg | stdev"
@@ -453,10 +470,12 @@ class Database(object):
bins = self.bins
if ticks is None:
ticks = self.ticks
- sql = self.__dict__['get'](self, stat, bins, ticks)
+ sql = self._method(self, stat, bins, ticks)
self.query(sql)
runs = {}
+ xmax = 0
+ ymax = 0
for x in self.cursor.fetchall():
data = Data(x)
if not runs.has_key(data.run):
@@ -464,8 +483,17 @@ class Database(object):
if not runs[data.run].has_key(data.x):
runs[data.run][data.x] = {}
+ xmax = max(xmax, data.x)
+ ymax = max(ymax, data.y)
runs[data.run][data.x][data.y] = data.data
- return runs
+
+ results = Result(xmax + 1, ymax + 1)
+ for run,data in runs.iteritems():
+ result = results[run]
+ for x,ydata in data.iteritems():
+ for y,data in ydata.iteritems():
+ result[x][y] = data
+ return results
def __getitem__(self, key):
return self.stattop[key]
diff --git a/util/stats/display.py b/util/stats/display.py
index 629684ca4..fbcff5c70 100644
--- a/util/stats/display.py
+++ b/util/stats/display.py
@@ -26,7 +26,7 @@
class Value:
def __init__(self, value, precision, percent = False):
- self.value = value
+ self.value = float(value)
self.precision = precision
self.percent = percent
def __str__(self):
@@ -90,61 +90,60 @@ class Print:
class VectorDisplay:
def display(self):
+ if not self.value:
+ return
+
p = Print()
p.flags = self.flags
p.precision = self.precision
- if isinstance(self.value, (list, tuple)):
- if not len(self.value):
- return
-
- mytotal = reduce(lambda x,y: float(x) + float(y), self.value)
- mycdf = 0.0
+ if not isinstance(self.value, (list, tuple)):
+ p.name = self.name
+ p.desc = self.desc
+ p.value = self.value
+ p.display()
+ return
- value = self.value
+ mytotal = reduce(lambda x,y: float(x) + float(y), self.value)
+ mycdf = 0.0
- if display_all:
- subnames = [ '[%d]' % i for i in range(len(value)) ]
- else:
- subnames = [''] * len(value)
-
- if self.__dict__.has_key('subnames'):
- for i,each in enumerate(self.subnames):
- if len(each) > 0:
- subnames[i] = '.%s' % each
-
- subdescs = [self.desc]*len(value)
- if self.__dict__.has_key('subdescs'):
- for i in xrange(min(len(value), len(self.subdescs))):
- subdescs[i] = self.subdescs[i]
-
- for val,sname,sdesc in map(None, value, subnames, subdescs):
- if mytotal > 0.0:
- mypdf = float(val) / float(mytotal)
- mycdf += mypdf
- if (self.flags & flags_pdf):
- p.pdf = mypdf
- p.cdf = mycdf
-
- if len(sname) == 0:
- continue
-
- p.name = self.name + sname
- p.desc = sdesc
- p.value = val
- p.display()
-
- if (self.flags & flags_total):
- if (p.__dict__.has_key('pdf')): del p.__dict__['pdf']
- if (p.__dict__.has_key('cdf')): del p.__dict__['cdf']
- p.name = self.name + '.total'
- p.desc = self.desc
- p.value = mytotal
- p.display()
+ value = self.value
+ if display_all:
+ subnames = [ '[%d]' % i for i in range(len(value)) ]
else:
- p.name = self.name
- p.desc = self.desc
- p.value = self.value
+ subnames = [''] * len(value)
+
+ if self.__dict__.has_key('subnames'):
+ for i,each in enumerate(self.subnames):
+ if len(each) > 0:
+ subnames[i] = '.%s' % each
+
+ subdescs = [self.desc]*len(value)
+ if self.__dict__.has_key('subdescs'):
+ for i in xrange(min(len(value), len(self.subdescs))):
+ subdescs[i] = self.subdescs[i]
+
+ for val,sname,sdesc in map(None, value, subnames, subdescs):
+ if mytotal > 0.0:
+ mypdf = float(val) / float(mytotal)
+ mycdf += mypdf
+ if (self.flags & flags_pdf):
+ p.pdf = mypdf
+ p.cdf = mycdf
+
+ if len(sname) == 0:
+ continue
+
+ p.name = self.name + sname
+ p.desc = sdesc
+ p.value = val
p.display()
+ if (self.flags & flags_total):
+ if (p.__dict__.has_key('pdf')): del p.__dict__['pdf']
+ if (p.__dict__.has_key('cdf')): del p.__dict__['cdf']
+ p.name = self.name + '.total'
+ p.desc = self.desc
+ p.value = mytotal
+ p.display()
diff --git a/util/stats/info.py b/util/stats/info.py
index ae5d3211f..9932d7922 100644
--- a/util/stats/info.py
+++ b/util/stats/info.py
@@ -27,391 +27,347 @@
from __future__ import division
import operator, re, types
-source = None
-display_run = 0
-global globalTicks
-globalTicks = None
-
-def total(f):
- if isinstance(f, FormulaStat):
- v = f.value
- else:
- v = f
-
- f = FormulaStat()
- if isinstance(v, (list, tuple)):
- f.value = reduce(operator.add, v)
- else:
- f.value = v
-
- return f
-
-def unaryop(op, f):
- if isinstance(f, FormulaStat):
- v = f.value
- else:
- v = f
-
- if isinstance(v, (list, tuple)):
- return map(op, v)
- else:
- return op(v)
-
-def zerodiv(lv, rv):
- if rv == 0.0:
- return 0.0
- else:
- return operator.truediv(lv, rv)
-
-def wrapop(op, lv, rv):
- if isinstance(lv, str):
- return lv
-
- if isinstance(rv, str):
- return rv
-
- return op(lv, rv)
-
-def same(lrun, rrun):
- for lx,rx in zip(lrun.keys(),rrun.keys()):
- if lx != rx:
- print 'lx != rx'
- print lx, rx
- print lrun.keys()
- print rrun.keys()
- return False
- for ly,ry in zip(lrun[lx].keys(),rrun[rx].keys()):
- if ly != ry:
- print 'ly != ry'
- print ly, ry
- print lrun[lx].keys()
- print rrun[rx].keys()
- return False
- return True
-
-
-def binaryop(op, lf, rf):
- result = {}
-
- if isinstance(lf, FormulaStat) and isinstance(rf, FormulaStat):
- lv = lf.value
- rv = rf.value
-
- theruns = []
- for r in lv.keys():
- if rv.has_key(r):
- if same(lv[r], rv[r]):
- theruns.append(r)
- else:
- raise AttributeError
-
- for run in theruns:
- result[run] = {}
- for x in lv[run].keys():
- result[run][x] = {}
- for y in lv[run][x].keys():
- result[run][x][y] = wrapop(op, lv[run][x][y],
- rv[run][x][y])
- elif isinstance(lf, FormulaStat):
- lv = lf.value
- for run in lv.keys():
- result[run] = {}
- for x in lv[run].keys():
- result[run][x] = {}
- for y in lv[run][x].keys():
- result[run][x][y] = wrapop(op, lv[run][x][y], rf)
- elif isinstance(rf, FormulaStat):
- rv = rf.value
- for run in rv.keys():
- result[run] = {}
- for x in rv[run].keys():
- result[run][x] = {}
- for y in rv[run][x].keys():
- result[run][x][y] = wrapop(op, lf, rv[run][x][y])
-
+def unproxy(proxy):
+ if hasattr(proxy, '__unproxy__'):
+ return proxy.__unproxy__()
+
+ return proxy
+
+def scalar(stat):
+ stat = unproxy(stat)
+ assert(stat.__scalar__() != stat.__vector__())
+ return stat.__scalar__()
+
+def vector(stat):
+ stat = unproxy(stat)
+ assert(stat.__scalar__() != stat.__vector__())
+ return stat.__vector__()
+
+def value(stat, *args):
+ stat = unproxy(stat)
+ return stat.__value__(*args)
+
+def values(stat, run):
+ stat = unproxy(stat)
+ result = []
+ for i in xrange(len(stat)):
+ val = value(stat, run.run, i)
+ if val is None:
+ return None
+ result.append(val)
return result
-def sums(x, y):
- if isinstance(x, (list, tuple)):
- return map(lambda x, y: x + y, x, y)
- else:
- return x + y
-
-def alltrue(seq):
- return reduce(lambda x, y: x and y, seq)
-
-def allfalse(seq):
- return not reduce(lambda x, y: x or y, seq)
-
-def enumerate(seq):
- return map(None, range(len(seq)), seq)
-
-def cmp(a, b):
- if a < b:
- return -1
- elif a == b:
- return 0
- else:
- return 1
-
-class Statistic(object):
-
- def __init__(self, data):
- self.__dict__.update(data.__dict__)
- if not self.__dict__.has_key('value'):
- self.__dict__['value'] = None
- if not self.__dict__.has_key('bins'):
- self.__dict__['bins'] = None
- if not self.__dict__.has_key('ticks'):
- self.__dict__['ticks'] = None
- if 'vc' not in self.__dict__:
- self.vc = {}
-
- def __getattribute__(self, attr):
- if attr == 'ticks':
- if self.__dict__['ticks'] != globalTicks:
- self.__dict__['value'] = None
- self.__dict__['ticks'] = globalTicks
- return self.__dict__['ticks']
- if attr == 'value':
- if self.__dict__['ticks'] != globalTicks:
- if self.__dict__['ticks'] != None and \
- len(self.__dict__['ticks']) == 1:
- self.vc[self.__dict__['ticks'][0]] = self.__dict__['value']
- self.__dict__['ticks'] = globalTicks
- if len(globalTicks) == 1 and self.vc.has_key(globalTicks[0]):
- self.__dict__['value'] = self.vc[globalTicks[0]]
- else:
- self.__dict__['value'] = None
- if self.__dict__['value'] == None:
- self.__dict__['value'] = self.getValue()
- return self.__dict__['value']
- else:
- return super(Statistic, self).__getattribute__(attr)
-
- def __setattr__(self, attr, value):
- if attr == 'bins' or attr == 'ticks':
- if attr == 'bins':
- if value is not None:
- value = source.getBin(value)
- #elif attr == 'ticks' and type(value) is str:
- # value = [ int(x) for x in value.split() ]
-
- self.__dict__[attr] = value
- self.__dict__['value'] = None
- self.vc = {}
- else:
- super(Statistic, self).__setattr__(attr, value)
+def total(stat, run):
+ return sum(values(stat, run))
- def getValue(self):
- raise AttributeError, 'getValue() must be defined'
-
- def zero(self):
- return False
+def len(stat):
+ stat = unproxy(stat)
+ return stat.__len__()
- def __ne__(self, other):
- return not (self == other)
+class Value(object):
+ def __scalar__(self):
+ raise AttributeError, "must define __scalar__ for %s" % (type (self))
+ def __vector__(self):
+ raise AttributeError, "must define __vector__ for %s" % (type (self))
- def __str__(self):
- return '%f' % (float(self))
-
-class FormulaStat(object):
def __add__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.add, self, other)
- return f
+ return BinaryProxy(operator.__add__, self, other)
def __sub__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.sub, self, other)
- return f
+ return BinaryProxy(operator.__sub__, self, other)
def __mul__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.mul, self, other)
- return f
+ return BinaryProxy(operator.__mul__, self, other)
+ def __div__(self, other):
+ return BinaryProxy(operator.__div__, self, other)
def __truediv__(self, other):
- f = FormulaStat()
- f.value = binaryop(zerodiv, self, other)
- return f
- def __mod__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.mod, self, other)
- return f
+ return BinaryProxy(operator.__truediv__, self, other)
+ def __floordiv__(self, other):
+ return BinaryProxy(operator.__floordiv__, self, other)
+
def __radd__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.add, other, self)
- return f
+ return BinaryProxy(operator.__add__, other, self)
def __rsub__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.sub, other, self)
- return f
+ return BinaryProxy(operator.__sub__, other, self)
def __rmul__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.mul, other, self)
- return f
+ return BinaryProxy(operator.__mul__, other, self)
+ def __rdiv__(self, other):
+ return BinaryProxy(operator.__div__, other, self)
def __rtruediv__(self, other):
- f = FormulaStat()
- f.value = binaryop(zerodiv, other, self)
- return f
- def __rmod__(self, other):
- f = FormulaStat()
- f.value = binaryop(operator.mod, other, self)
- return f
+ return BinaryProxy(operator.__truediv__, other, self)
+ def __rfloordiv__(self, other):
+ return BinaryProxy(operator.__floordiv__, other, self)
+
def __neg__(self):
- f = FormulaStat()
- f.value = unaryop(operator.neg, self)
- return f
- def __getitem__(self, idx):
- f = FormulaStat()
- f.value = {}
- for key in self.value.keys():
- f.value[key] = {}
- f.value[key][0] = {}
- f.value[key][0][0] = self.value[key][idx][0]
- return f
-
- def __float__(self):
- if isinstance(self.value, FormulaStat):
- return float(self.value)
- if not self.value.has_key(display_run):
- return (1e300*1e300)
- if len(self.value[display_run]) == 1:
- return self.value[display_run][0][0]
- else:
- #print self.value[display_run]
- return self.value[display_run][4][0]
- #raise ValueError
+ return UnaryProxy(operator.__neg__, self)
+ def __pos__(self):
+ return UnaryProxy(operator.__pos__, self)
+ def __abs__(self):
+ return UnaryProxy(operator.__abs__, self)
+
+class Scalar(Value):
+ def __scalar__(self):
+ return True
- def display(self):
- import display
- d = display.VectorDisplay()
- d.flags = 0
- d.precision = 1
- d.name = 'formula'
- d.desc = 'formula'
- val = self.value[display_run]
- d.value = [ val[x][0] for x in val.keys() ]
- d.display()
+ def __vector__(self):
+ return False
+ def __value__(self, run):
+ raise AttributeError, '__value__ must be defined'
-class Scalar(Statistic,FormulaStat):
- def getValue(self):
- return source.data(self, self.bins, self.ticks)
+class VectorItemProxy(Value):
+ def __init__(self, proxy, index):
+ self.proxy = proxy
+ self.index = index
- def display(self):
- import display
- p = display.Print()
- p.name = self.name
- p.desc = self.desc
- p.value = float(self)
- p.flags = self.flags
- p.precision = self.precision
- if display.all or (self.flags & flags.printable):
- p.display()
+ def __scalar__(self):
+ return True
- def comparable(self, other):
- return self.name == other.name
+ def __vector__(self):
+ return False
- def __eq__(self, other):
- return self.value == other.value
+ def __value__(self, run):
+ return value(self.proxy, run, self.index)
- def __isub__(self, other):
- self.value -= other.value
- return self
+class Vector(Value):
+ def __scalar__(self):
+ return False
- def __iadd__(self, other):
- self.value += other.value
- return self
+ def __vector__(self):
+ return True
- def __itruediv__(self, other):
- if not other:
- return self
- self.value /= other
- return self
+ def __value__(self, run, index):
+ raise AttributeError, '__value__ must be defined'
-class Vector(Statistic,FormulaStat):
- def getValue(self):
- return source.data(self, self.bins, self.ticks);
+ def __getitem__(self, index):
+ return VectorItemProxy(self, index)
- def display(self):
- import display
- if not display.all and not (self.flags & flags.printable):
- return
+class ScalarConstant(Scalar):
+ def __init__(self, constant):
+ self.constant = constant
+ def __value__(self, run):
+ return self.constant
- d = display.VectorDisplay()
- d.__dict__.update(self.__dict__)
- d.display()
+class VectorConstant(Vector):
+ def __init__(self, constant):
+ self.constant = constant
+ def __value__(self, run, index):
+ return self.constant[index]
+ def __len__(self):
+ return len(self.constant)
- def comparable(self, other):
- return self.name == other.name and \
- len(self.value) == len(other.value)
+def WrapValue(value):
+ if isinstance(value, (int, long, float)):
+ return ScalarConstant(value)
+ if isinstance(value, (list, tuple)):
+ return VectorConstant(value)
+ if isinstance(value, Value):
+ return value
- def __eq__(self, other):
- if isinstance(self.value, (list, tuple)) != \
- isinstance(other.value, (list, tuple)):
- return False
+ raise AttributeError, 'Only values can be wrapped'
- if isinstance(self.value, (list, tuple)):
- if len(self.value) != len(other.value):
- return False
- else:
- for v1,v2 in zip(self.value, other.value):
- if v1 != v2:
- return False
- return True
- else:
- return self.value == other.value
+class Statistic(object):
+ def __getattr__(self, attr):
+ if attr in ('data', 'x', 'y'):
+ result = self.source.data(self, self.bins, self.ticks)
+ self.data = result.data
+ self.x = result.x
+ self.y = result.y
+ return super(Statistic, self).__getattribute__(attr)
- def __isub__(self, other):
- self.value = binaryop(operator.sub, self.value, other.value)
- return self
+ def __setattr__(self, attr, value):
+ if attr == 'stat':
+ raise AttributeError, '%s is read only' % stat
+ if attr in ('source', 'bins', 'ticks'):
+ if getattr(self, attr) != value:
+ if hasattr(self, 'data'):
+ delattr(self, 'data')
+
+ super(Statistic, self).__setattr__(attr, value)
+
+class ValueProxy(Value):
+ def __getattr__(self, attr):
+ if attr == '__value__':
+ if scalar(self):
+ return self.__scalarvalue__
+ if vector(self):
+ return self.__vectorvalue__
+ if attr == '__len__':
+ if vector(self):
+ return self.__vectorlen__
+ return super(ValueProxy, self).__getattribute__(attr)
+
+class UnaryProxy(ValueProxy):
+ def __init__(self, op, arg):
+ self.op = op
+ self.arg = WrapValue(arg)
+
+ def __scalar__(self):
+ return scalar(self.arg)
+
+ def __vector__(self):
+ return vector(self.arg)
+
+ def __scalarvalue__(self, run):
+ val = value(self.arg, run)
+ if val is None:
+ return None
+ return self.op(val)
+
+ def __vectorvalue__(self, run, index):
+ val = value(self.arg, run, index)
+ if val is None:
+ return None
+ return self.op(val)
+
+ def __vectorlen__(self):
+ return len(unproxy(self.arg))
+
+class BinaryProxy(ValueProxy):
+ def __init__(self, op, arg0, arg1):
+ super(BinaryProxy, self).__init__()
+ self.op = op
+ self.arg0 = WrapValue(arg0)
+ self.arg1 = WrapValue(arg1)
+
+ def __scalar__(self):
+ return scalar(self.arg0) and scalar(self.arg1)
+
+ def __vector__(self):
+ return vector(self.arg0) or vector(self.arg1)
+
+ def __scalarvalue__(self, run):
+ val0 = value(self.arg0, run)
+ val1 = value(self.arg1, run)
+ if val0 is None or val1 is None:
+ return None
+ return self.op(val0, val1)
+
+ def __vectorvalue__(self, run, index):
+ if scalar(self.arg0):
+ val0 = value(self.arg0, run)
+ if vector(self.arg0):
+ val0 = value(self.arg0, run, index)
+ if scalar(self.arg1):
+ val1 = value(self.arg1, run)
+ if vector(self.arg1):
+ val1 = value(self.arg1, run, index)
+
+ if val0 is None or val1 is None:
+ return None
+
+ return self.op(val0, val1)
+
+ def __vectorlen__(self):
+ if vector(self.arg0) and scalar(self.arg1):
+ return len(self.arg0)
+ if scalar(self.arg0) and vector(self.arg1):
+ return len(self.arg1)
+
+ len0 = len(self.arg0)
+ len1 = len(self.arg1)
+
+ if len0 != len1:
+ raise AttributeError, \
+ "vectors of different lengths %d != %d" % (len0, len1)
+
+ return len0
+
+class Proxy(Value):
+ def __init__(self, name, dict):
+ self.name = name
+ self.dict = dict
+
+ def __unproxy__(self):
+ return unproxy(self.dict[self.name])
+
+ def __getitem__(self, index):
+ return ItemProxy(self, index)
+
+ def __getattr__(self, attr):
+ return AttrProxy(self, attr)
+
+class ItemProxy(Proxy):
+ def __init__(self, proxy, index):
+ self.proxy = proxy
+ self.index = index
+
+ def __unproxy__(self):
+ return unproxy(unproxy(self.proxy)[self.index])
- def __iadd__(self, other):
- self.value = binaryop(operator.add, self.value, other.value)
- return self
+class AttrProxy(Proxy):
+ def __init__(self, proxy, attr):
+ self.proxy = proxy
+ self.attr = attr
- def __itruediv__(self, other):
- if not other:
- return self
- if isinstance(self.value, (list, tuple)):
- for i in xrange(len(self.value)):
- self.value[i] /= other
- else:
- self.value /= other
- return self
+ def __unproxy__(self):
+ return unproxy(getattr(unproxy(self.proxy), self.attr))
-class Formula(Vector):
- def getValue(self):
- formula = re.sub(':', '__', self.formula)
- x = eval(formula, source.stattop)
- return x.value
+class ProxyGroup(object):
+ def __init__(self, dict=None, **kwargs):
+ self.__dict__['dict'] = {}
- def comparable(self, other):
- return self.name == other.name and \
- compare(self.dist, other.dist)
+ if dict is not None:
+ self.dict.update(dict)
- def __eq__(self, other):
- return self.value == other.value
+ if kwargs:
+ self.dict.update(kwargs)
- def __isub__(self, other):
- return self
+ def __getattr__(self, name):
+ return Proxy(name, self.dict)
- def __iadd__(self, other):
- return self
+ def __setattr__(self, attr, value):
+ self.dict[attr] = value
- def __itruediv__(self, other):
- if not other:
- return self
- return self
+class ScalarStat(Statistic,Scalar):
+ def __value__(self, run):
+ if run not in self.data:
+ return None
+ return self.data[run][0][0]
+
+ def display(self, run=None):
+ import display
+ p = display.Print()
+ p.name = self.name
+ p.desc = self.desc
+ p.value = value(self, run)
+ p.flags = self.flags
+ p.precision = self.precision
+ if display.all or (self.flags & flags.printable):
+ p.display()
+
+class VectorStat(Statistic,Vector):
+ def __value__(self, run, item):
+ if run not in self.data:
+ return None
+ return self.data[run][item][0]
+
+ def __len__(self):
+ return self.x
-class SimpleDist(object):
+ def display(self, run=None):
+ import display
+ d = display.VectorDisplay()
+ d.name = self.name
+ d.desc = self.desc
+ d.value = [ value(self, run, i) for i in xrange(len(self)) ]
+ d.flags = self.flags
+ d.precision = self.precision
+ d.display()
+
+class Formula(Value):
+ def __getattribute__(self, attr):
+ if attr not in ( '__scalar__', '__vector__', '__value__', '__len__' ):
+ return super(Formula, self).__getattribute__(attr)
+
+ formula = re.sub(':', '__', self.formula)
+ value = eval(formula, self.source.stattop)
+ return getattr(value, attr)
+
+class SimpleDist(Statistic):
def __init__(self, sums, squares, samples):
self.sums = sums
self.squares = squares
self.samples = samples
- def getValue(self):
- return 0.0
-
def display(self, name, desc, flags, precision):
import display
p = display.Print()
@@ -482,9 +438,6 @@ class FullDist(SimpleDist):
self.bsize = bsize
self.size = size
- def getValue(self):
- return 0.0
-
def display(self, name, desc, flags, precision):
import display
p = display.Print()
@@ -574,9 +527,6 @@ class FullDist(SimpleDist):
return self
class Dist(Statistic):
- def getValue(self):
- return 0.0
-
def display(self):
import display
if not display.all and not (self.flags & flags.printable):
@@ -606,9 +556,6 @@ class Dist(Statistic):
return self
class VectorDist(Statistic):
- def getValue(self):
- return 0.0
-
def display(self):
import display
if not display.all and not (self.flags & flags.printable):
@@ -694,9 +641,6 @@ class VectorDist(Statistic):
return self
class Vector2d(Statistic):
- def getValue(self):
- return 0.0
-
def display(self):
import display
if not display.all and not (self.flags & flags.printable):
@@ -748,20 +692,25 @@ class Vector2d(Statistic):
return self
return self
-def NewStat(data):
+def NewStat(source, data):
stat = None
if data.type == 'SCALAR':
- stat = Scalar(data)
+ stat = ScalarStat()
elif data.type == 'VECTOR':
- stat = Vector(data)
+ stat = VectorStat()
elif data.type == 'DIST':
- stat = Dist(data)
+ stat = Dist()
elif data.type == 'VECTORDIST':
- stat = VectorDist(data)
+ stat = VectorDist()
elif data.type == 'VECTOR2D':
- stat = Vector2d(data)
+ stat = Vector2d()
elif data.type == 'FORMULA':
- stat = Formula(data)
+ stat = Formula()
+
+ stat.__dict__['source'] = source
+ stat.__dict__['bins'] = None
+ stat.__dict__['ticks'] = None
+ stat.__dict__.update(data.__dict__)
return stat
diff --git a/util/stats/output.py b/util/stats/output.py
index f793749f7..cf76f291e 100644
--- a/util/stats/output.py
+++ b/util/stats/output.py
@@ -26,24 +26,8 @@
#
# Authors: Nathan Binkert
-class dbinfo(object):
- def get(self, job, stat):
- import info
-
- run = info.source.allRunNames.get(job.name, None)
- if run is None:
- print 'run "%s" not found' % job
- return None
-
- stat.system = info.source[job.system]
- info.display_run = run.run;
- val = float(stat)
- if val == 1e300*1e300:
- return None
- return val
-
class StatOutput(object):
- def __init__(self, name, jobfile, stat=None, info=dbinfo(), binstats=None):
+ def __init__(self, name, jobfile, info, stat=None, binstats=None):
self.name = name
self.jobfile = jobfile
self.stat = stat
@@ -141,7 +125,7 @@ class StatOutput(object):
data = zeros((len(groupopts), len(baropts)), Float)
data = [ [ None ] * len(baropts) for i in xrange(len(groupopts)) ]
enabled = False
- stacked = None
+ stacked = 0
for g,gopt in enumerate(groupopts):
for b,bopt in enumerate(baropts):
job = self.jobfile.job(options + [ gopt, bopt ])
@@ -149,17 +133,28 @@ class StatOutput(object):
continue
val = self.info.get(job, self.stat)
- if val is None:
- val = 0.0
- curstacked = isinstance(val, (list, tuple))
- if stacked is None:
- stacked = curstacked
- else:
- if stacked != curstacked:
- raise ValueError, "some stats stacked, some not"
+ if isinstance(val, (list, tuple)):
+ if len(val) == 1:
+ val = val[0]
+ else:
+ stacked = len(val)
data[g][b] = val
+ if stacked == 0:
+ for i in xrange(len(groupopts)):
+ for j in xrange(len(baropts)):
+ if data[i][j] is None:
+ data[i][j] = 0.0
+ else:
+ for i in xrange(len(groupopts)):
+ for j in xrange(len(baropts)):
+ val = data[i][j]
+ if val is None:
+ data[i][j] = [] * stacked
+ elif len(val) != stacked:
+ raise ValueError, "some stats stacked, some not"
+
data = array(data)
if data.sum() == 0:
continue
@@ -167,7 +162,10 @@ class StatOutput(object):
bar_descs = [ opt.desc for opt in baropts ]
group_descs = [ opt.desc for opt in groupopts ]
if stacked:
- legend = self.info.rcategories
+ try:
+ legend = self.info.rcategories
+ except:
+ legend = [ str(i) for i in xrange(stacked) ]
else:
legend = bar_descs
diff --git a/util/stats/stats.py b/util/stats/stats.py
index af9ae5575..e481a794c 100755
--- a/util/stats/stats.py
+++ b/util/stats/stats.py
@@ -98,29 +98,27 @@ def commands(options, command, args):
raise CommandException
- import db, info
- info.source = db.Database()
- info.source.host = options.host
- info.source.db = options.db
- info.source.passwd = options.passwd
- info.source.user = options.user
- info.source.connect()
- #info.source.update_dict(globals())
-
- if type(options.get) is str:
- info.source.get = options.get
+ import db
+ source = db.Database()
+ source.host = options.host
+ source.db = options.db
+ source.passwd = options.passwd
+ source.user = options.user
+ source.connect()
+ #source.update_dict(globals())
+
+ if type(options.method) is str:
+ source.method = options.method
if options.runs is None:
- runs = info.source.allRuns
+ runs = source.allRuns
else:
rx = re.compile(options.runs)
runs = []
- for run in info.source.allRuns:
+ for run in source.allRuns:
if rx.match(run.name):
runs.append(run)
- info.display_run = runs[0].run
-
if command == 'runs':
user = None
opts, args = getopts(args, '-u')
@@ -129,14 +127,14 @@ def commands(options, command, args):
for o,a in opts:
if o == '-u':
user = a
- info.source.listRuns(user)
+ source.listRuns(user)
return
if command == 'stats':
if len(args) == 0:
- info.source.listStats()
+ source.listStats()
elif len(args) == 1:
- info.source.listStats(args[0])
+ source.listStats(args[0])
else:
raise CommandException
@@ -144,9 +142,9 @@ def commands(options, command, args):
if command == 'bins':
if len(args) == 0:
- info.source.listBins()
+ source.listBins()
elif len(args) == 1:
- info.source.listBins(args[0])
+ source.listBins(args[0])
else:
raise CommandException
@@ -154,9 +152,9 @@ def commands(options, command, args):
if command == 'formulas':
if len(args) == 0:
- info.source.listFormulas()
+ source.listFormulas()
elif len(args) == 1:
- info.source.listFormulas(args[0])
+ source.listFormulas(args[0])
else:
raise CommandException
@@ -166,7 +164,7 @@ def commands(options, command, args):
if len(args):
raise CommandException
- info.source.listTicks(runs)
+ source.listTicks(runs)
return
if command == 'stability':
@@ -177,8 +175,8 @@ def commands(options, command, args):
merge = int(args[0])
except ValueError:
usage()
- stats = info.source.getStat(args[1])
- info.source.get = "sum"
+ stats = source.getStat(args[1])
+ source.method = 'sum'
def disp(*args):
print "%-20s %12s %12s %4s %5s %5s %5s %10s" % args
@@ -195,18 +193,17 @@ def commands(options, command, args):
#loop through all the selected runs
for run in runs:
- info.display_run = run.run;
- runTicks = info.source.retTicks([ run ])
+ runTicks = source.retTicks([ run ])
#throw away the first one, it's 0
runTicks.pop(0)
- info.globalTicks = runTicks
+ source.ticks = runTicks
avg = 0
stdev = 0
numoutsideavg = 0
numoutside1std = 0
numoutside2std = 0
pairRunTicks = []
- if float(stat) == 1e300*1e300:
+ if value(stat, run.run) == 1e300*1e300:
continue
for t in range(0, len(runTicks)-(merge-1), merge):
tempPair = []
@@ -215,17 +212,17 @@ def commands(options, command, args):
pairRunTicks.append(tempPair)
#loop through all the various ticks for each run
for tick in pairRunTicks:
- info.globalTicks = tick
- avg += float(stat)
+ source.ticks = tick
+ avg += value(stat, run.run)
avg /= len(pairRunTicks)
for tick in pairRunTicks:
- info.globalTicks = tick
- val = float(stat)
+ source.ticks = tick
+ val = value(stat, run.run)
stdev += pow((val-avg),2)
stdev = math.sqrt(stdev / len(pairRunTicks))
for tick in pairRunTicks:
- info.globalTicks = tick
- val = float(stat)
+ source.ticks = tick
+ val = value(stat, run.run)
if (val < (avg * .9)) or (val > (avg * 1.1)):
numoutsideavg += 1
if (val < (avg - stdev)) or (val > (avg + stdev)):
@@ -264,9 +261,9 @@ def commands(options, command, args):
if options.ticks:
if not options.graph:
print 'only displaying sample %s' % options.ticks
- info.globalTicks = [ int(x) for x in options.ticks.split() ]
+ source.ticks = [ int(x) for x in options.ticks.split() ]
- from output import StatOutput
+ import output
def display():
if options.graph:
@@ -280,12 +277,12 @@ def commands(options, command, args):
raise CommandException
if command == 'stat':
- stats = info.source.getStat(args[0])
+ stats = source.getStat(args[0])
if command == 'formula':
stats = eval(args[0])
for stat in stats:
- output = StatOutput(stat.name, options.jobfile)
+ output = output.StatOutput(stat.name, options.jobfile, source)
output.stat = stat
output.label = stat.name
display()
@@ -295,12 +292,11 @@ def commands(options, command, args):
if len(args):
raise CommandException
- system = info.source.__dict__[options.system]
-
- from proxy import ProxyGroup
- sim_ticks = info.source['sim_ticks']
- sim_seconds = info.source['sim_seconds']
- proxy = ProxyGroup(system = info.source[options.system])
+ system = source.__dict__[options.system]
+ from info import ProxyGroup
+ sim_ticks = source['sim_ticks']
+ sim_seconds = source['sim_seconds']
+ proxy = ProxyGroup(system = source[options.system])
system = proxy.system
etherdev = system.tsunami.etherdev0
@@ -309,7 +305,7 @@ def commands(options, command, args):
packets = etherdev.rxPackets + etherdev.txPackets
bps = etherdev.rxBandwidth + etherdev.txBandwidth
- output = StatOutput(command, options.jobfile)
+ output = output.StatOutput(command, options.jobfile, source)
if command == 'usertime':
import copy
@@ -460,7 +456,7 @@ if __name__ == '__main__':
options.user = getpass.getuser()
options.runs = None
options.system = 'client'
- options.get = None
+ options.method = None
options.binned = False
options.graph = False
options.ticks = False
@@ -469,7 +465,7 @@ if __name__ == '__main__':
options.jobfile = None
options.all = False
- opts, args = getopts(sys.argv[1:], '-BEFG:Jad:g:h:j:pr:s:u:T:')
+ opts, args = getopts(sys.argv[1:], '-BEFJad:g:h:j:m:pr:s:u:T:')
for o,a in opts:
if o == '-B':
options.binned = True
@@ -477,8 +473,6 @@ if __name__ == '__main__':
options.printmode = 'E'
if o == '-F':
options.printmode = 'F'
- if o == '-G':
- options.get = a
if o == '-a':
options.all = True
if o == '-d':
@@ -492,6 +486,8 @@ if __name__ == '__main__':
jobfilename = None
if o == '-j':
jobfilename = a
+ if o == '-m':
+ options.method = a
if o == '-p':
options.passwd = getpass.getpass()
if o == '-r':