start of tests refactoring; sqlite3 new wrapper fixes

This commit is contained in:
rumpf_a@web.de 2010-02-21 19:42:36 +01:00
commit d913fdb280
173 changed files with 206 additions and 238 deletions

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# This is adapted from a benchmark written by John Ellis and Pete Kovac
# of Post Communications.
# It was modified by Hans Boehm of Silicon Graphics.
#
# This is no substitute for real applications. No actual application
# is likely to behave in exactly this way. However, this benchmark was
# designed to be more representative of real applications than other
# Java GC benchmarks of which we are aware.
# It attempts to model those properties of allocation requests that
# are important to current GC techniques.
# It is designed to be used either to obtain a single overall performance
# number, or to give a more detailed estimate of how collector
# performance varies with object lifetimes. It prints the time
# required to allocate and collect balanced binary trees of various
# sizes. Smaller trees result in shorter object lifetimes. Each cycle
# allocates roughly the same amount of memory.
# Two data structures are kept around during the entire process, so
# that the measured performance is representative of applications
# that maintain some live in-memory data. One of these is a tree
# containing many pointers. The other is a large array containing
# double precision floating point numbers. Both should be of comparable
# size.
#
# The results are only really meaningful together with a specification
# of how much memory was used. It is possible to trade memory for
# better time performance. This benchmark should be run in a 32 MB
# heap, though we don't currently know how to enforce that uniformly.
#
# Unlike the original Ellis and Kovac benchmark, we do not attempt
# measure pause times. This facility should eventually be added back
# in. There are several reasons for omitting it for now. The original
# implementation depended on assumptions about the thread scheduler
# that don't hold uniformly. The results really measure both the
# scheduler and GC. Pause time measurements tend to not fit well with
# current benchmark suites. As far as we know, none of the current
# commercial Java implementations seriously attempt to minimize GC pause
# times.
#
# Known deficiencies:
# - No way to check on memory use
# - No cyclic data structures
# - No attempt to measure variation with object size
# - Results are sensitive to locking cost, but we dont
# check for proper locking
#
import
strutils, times
type
PNode = ref TNode
TNode {.final.} = object
left, right: PNode
i, j: int
proc newNode(L, r: PNode): PNode =
new(result)
result.left = L
result.right = r
const
kStretchTreeDepth = 18 # about 16Mb
kLongLivedTreeDepth = 16 # about 4Mb
kArraySize = 500000 # about 4Mb
kMinTreeDepth = 4
kMaxTreeDepth = 16
# Nodes used by a tree of a given size
proc TreeSize(i: int): int = return ((1 shl (i + 1)) - 1)
# Number of iterations to use for a given tree depth
proc NumIters(i: int): int =
return 2 * TreeSize(kStretchTreeDepth) div TreeSize(i)
# Build tree top down, assigning to older objects.
proc Populate(iDepth: int, thisNode: PNode) =
if iDepth <= 0:
return
else:
new(thisNode.left)
new(thisNode.right)
Populate(iDepth-1, thisNode.left)
Populate(iDepth-1, thisNode.right)
# Build tree bottom-up
proc MakeTree(iDepth: int): PNode =
if iDepth <= 0:
new(result)
else:
return newNode(MakeTree(iDepth-1), MakeTree(iDepth-1))
proc PrintDiagnostics() =
echo("Total memory available: " & $getTotalMem() & " bytes")
echo("Free memory: " & $getFreeMem() & " bytes")
proc TimeConstruction(depth: int) =
var
root, tempTree: PNode
t: int
iNumIters: int
iNumIters = NumIters(depth)
echo("Creating " & $iNumIters & " trees of depth " & $depth)
t = getStartMilsecs()
for i in 0..iNumIters-1:
new(tempTree)
Populate(depth, tempTree)
tempTree = nil
echo("\tTop down construction took " & $(getStartMilsecs() - t) & "msecs")
t = getStartMilsecs()
for i in 0..iNumIters-1:
tempTree = MakeTree(depth)
tempTree = nil
echo("\tBottom up construction took " & $(getStartMilsecs() - t) & "msecs")
type
tMyArray = seq[float]
proc main() =
var
root, longLivedTree, tempTree: PNode
t: int
myarray: tMyArray
echo("Garbage Collector Test")
echo(" Stretching memory with a binary tree of depth " & $kStretchTreeDepth)
PrintDiagnostics()
t = getStartMilsecs()
# Stretch the memory space quickly
tempTree = MakeTree(kStretchTreeDepth)
tempTree = nil
# Create a long lived object
echo(" Creating a long-lived binary tree of depth " &
$kLongLivedTreeDepth)
new(longLivedTree)
Populate(kLongLivedTreeDepth, longLivedTree)
# Create long-lived array, filling half of it
echo(" Creating a long-lived array of " & $kArraySize & " doubles")
newSeq(myarray, kArraySize)
for i in 0..kArraySize div 2 -1:
myarray[i] = 1.0 / toFloat(i)
PrintDiagnostics()
var d = kMinTreeDepth
while d <= kMaxTreeDepth:
TimeConstruction(d)
inc(d, 2)
if longLivedTree == nil or myarray[1000] != 1.0/1000.0:
echo("Failed")
# fake reference to LongLivedTree
# and array to keep them from being optimized away
var elapsed = getStartMilsecs() - t
PrintDiagnostics()
echo("Completed in " & $elapsed & "ms.")
main()

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# Test the garbage collector:
# This file is not in the test suite because it takes too much time.
import
strutils
type
PNode = ref TNode
TNode {.final.} = object
le, ri: PNode
data: string
TTable {.final.} = object
counter, max: int
data: seq[string]
TBNode {.final.} = object
other: PNode # a completely different tree
data: string
sons: seq[TBNode] # directly embedded!
t: TTable
TCaseKind = enum nkStr, nkWhole, nkList
PCaseNode = ref TCaseNode
TCaseNode {.final.} = object
case kind: TCaseKind
of nkStr: data: string
of nkList: sons: seq[PCaseNode]
else: unused: seq[string]
TIdObj* = object of TObject
id*: int # unique id; use this for comparisons and not the pointers
PIdObj* = ref TIdObj
PIdent* = ref TIdent
TIdent*{.acyclic.} = object of TIdObj
s*: string
next*: PIdent # for hash-table chaining
h*: int # hash value of s
var
flip: int
proc newCaseNode(data: string): PCaseNode =
new(result)
if flip == 0:
result.kind = nkStr
result.data = data
else:
result.kind = nkWhole
result.unused = @["", "abc", "abdc"]
flip = 1 - flip
proc newCaseNode(a, b: PCaseNode): PCaseNode =
new(result)
result.kind = nkList
result.sons = @[a, b]
proc caseTree(lvl: int = 0): PCaseNode =
if lvl == 3: result = newCaseNode("data item")
else: result = newCaseNode(caseTree(lvl+1), caseTree(lvl+1))
proc finalizeBNode(n: TBNode) = writeln(stdout, n.data)
proc finalizeNode(n: PNode) =
assert(n != nil)
write(stdout, "finalizing: ")
if isNil(n.data): writeln(stdout, "nil!")
else: writeln(stdout, n.data)
var
id: int = 1
proc buildTree(depth = 1): PNode =
if depth == 7: return nil
new(result, finalizeNode)
result.le = buildTree(depth+1)
result.ri = buildTree(depth+1)
result.data = $id
inc(id)
proc returnTree(): PNode =
writeln(stdout, "creating id: " & $id)
new(result, finalizeNode)
result.data = $id
new(result.le, finalizeNode)
result.le.data = $id & ".1"
new(result.ri, finalizeNode)
result.ri.data = $id & ".2"
inc(id)
# now create a cycle:
writeln(stdout, "creating id (cyclic): " & $id)
var cycle: PNode
new(cycle, finalizeNode)
cycle.data = $id
cycle.le = cycle
cycle.ri = cycle
inc(id)
#writeln(stdout, "refcount: " & $refcount(cycle))
#writeln(stdout, "refcount le: " & $refcount(cycle.le))
#writeln(stdout, "refcount ri: " & $refcount(cycle.ri))
proc printTree(t: PNode) =
if t == nil: return
writeln(stdout, "printing")
writeln(stdout, t.data)
printTree(t.le)
printTree(t.ri)
proc unsureNew(result: var PNode) =
writeln(stdout, "creating unsure id: " & $id)
new(result, finalizeNode)
result.data = $id
new(result.le, finalizeNode)
result.le.data = $id & ".a"
new(result.ri, finalizeNode)
result.ri.data = $id & ".b"
inc(id)
proc setSons(n: var TBNode) =
n.sons = @[] # free memory of the sons
n.t.data = @[]
var
m: seq[string]
m = @[]
setLen(m, len(n.t.data) * 2)
for i in 0..high(m):
m[i] = "..."
n.t.data = m
proc buildBTree(father: var TBNode) =
father.data = "father"
father.other = nil
father.sons = @[]
for i in 1..10:
write(stdout, "next iteration!\n")
var n: TBNode
n.other = returnTree()
n.data = "B node: " & $i
if i mod 2 == 0: n.sons = @[] # nil and [] need to be handled correctly!
add father.sons, n
father.t.counter = 0
father.t.max = 3
father.t.data = @["ha", "lets", "stress", "it"]
setSons(father)
proc getIdent(identifier: cstring, length: int, h: int): PIdent =
new(result)
result.h = h
result.s = newString(length)
proc main() =
discard getIdent("addr", 4, 0)
discard getIdent("hall", 4, 0)
discard getIdent("echo", 4, 0)
discard getIdent("huch", 4, 0)
var
father: TBNode
for i in 1..1_00:
buildBTree(father)
for i in 1..1_00:
var t = returnTree()
var t2: PNode
unsureNew(t2)
write(stdout, "now building bigger trees: ")
var t2: PNode
for i in 1..100:
t2 = buildTree()
printTree(t2)
write(stdout, "now test sequences of strings:")
var s: seq[string] = @[]
for i in 1..100:
add s, "hohoho" # test reallocation
writeln(stdout, s[89])
write(stdout, "done!\n")
var
father: TBNode
s: string
s = ""
s = ""
writeln(stdout, repr(caseTree()))
father.t.data = @["ha", "lets", "stress", "it"]
father.t.data = @["ha", "lets", "stress", "it"]
var t = buildTree()
write(stdout, repr(t^))
buildBTree(father)
write(stdout, repr(father))
write(stdout, "starting main...\n")
main()
write(stdout, "finished\n")
GC_fullCollect()
GC_fullCollect()
writeln(stdout, GC_getStatistics())