basic generic collections implemented and tested

This commit is contained in:
Araq
2011-06-07 03:37:36 +02:00
parent 42eb21be7b
commit 3bc821aa5c
10 changed files with 512 additions and 95 deletions

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@@ -83,11 +83,11 @@ proc semSym(c: PContext, n: PNode, s: PSym, flags: TExprFlags): PNode =
markUsed(n, s)
result = newSymNode(s, n.info)
proc checkConversionBetweenObjects(info: TLineInfo, castDest, src: PType) =
proc checkConversionBetweenObjects(info: TLineInfo, castDest, src: PType) =
var diff = inheritanceDiff(castDest, src)
if diff == high(int):
GlobalError(info, errGenerated, `%`(MsgKindToString(errIllegalConvFromXtoY), [
typeToString(src), typeToString(castDest)]))
if diff == high(int):
GlobalError(info, errGenerated, MsgKindToString(errIllegalConvFromXtoY) % [
src.typeToString, castDest.typeToString])
proc checkConvertible(info: TLineInfo, castDest, src: PType) =
const

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@@ -12,28 +12,28 @@
## be manipulated directly for efficiency.
type
TDoublyLinkedNode*[T] {.pure,
final.} = object ## a node a doubly linked list consists of
TDoublyLinkedNode* {.pure,
final.}[T] = object ## a node a doubly linked list consists of
next*, prev*: ref TDoublyLinkedNode[T]
value*: T
PDoublyLinkedNode*[T] = ref TDoublyLinkedNode[T]
TSinglyLinkedNode*[T] {.pure,
final.} = object ## a node a singly linked list consists of
TSinglyLinkedNode* {.pure,
final.}[T] = object ## a node a singly linked list consists of
next*: ref TSinglyLinkedNode[T]
value*: T
PSinglyLinkedNode*[T] = ref TSinglyLinkedNode[T]
TSinglyLinkedList*[T] {.pure, final.} = object ## a singly linked list
TSinglyLinkedList* {.pure, final.}[T] = object ## a singly linked list
head*, tail*: PSinglyLinkedNode[T]
TDoublyLinkedList*[T] {.pure, final.} = object ## a doubly linked list
TDoublyLinkedList* {.pure, final.}[T] = object ## a doubly linked list
head*, tail*: PDoublyLinkedNode[T]
TSinglyLinkedRing*[T] {.pure, final.} = object ## a singly linked ring
TSinglyLinkedRing* {.pure, final.}[T] = object ## a singly linked ring
head*: PSinglyLinkedNode[T]
TDoublyLinkedRing*[T] {.pure, final.} = object ## a doubly linked ring
TDoublyLinkedRing* {.pure, final.}[T] = object ## a doubly linked ring
head*: PDoublyLinkedNode[T]
proc newDoublyLinkedNode*[T](value: T): PDoublyLinkedNode[T] =
@@ -240,17 +240,15 @@ proc prepend*[T](L: var TSinglyLinkedRing[T], value: T) =
proc append*[T](L: var TDoublyLinkedRing[T], n: PDoublyLinkedNode[T]) =
## appends a node `n` to `L`. Efficiency: O(1).
if L.tail != nil:
L.tail.next = n
n.prev = L.tail
if L.head != nil:
n.next = L.head
n.prev = L.head.prev
L.head.prev.next = n
L.head.prev = n
else:
# both head and tail are nil:
assert L.head == nil
L.head = n
n.prev = n
n.next = n
L.tail = n
L.head = n
proc append*[T](L: var TDoublyLinkedRing[T], value: T) =
## appends a value to `L`. Efficiency: O(1).
@@ -259,13 +257,11 @@ proc append*[T](L: var TDoublyLinkedRing[T], value: T) =
proc prepend*[T](L: var TDoublyLinkedRing[T], n: PDoublyLinkedNode[T]) =
## prepends a node `n` to `L`. Efficiency: O(1).
if L.head != nil:
L.head.prev = n
n.prev = L.tail
n.next = L.head
n.prev = L.head.prev
L.head.prev.next = n
L.head.prev = n
else:
# both head and tail are nil:
assert L.tail == nil
L.tail = n
n.prev = n
n.next = n
L.head = n
@@ -276,19 +272,14 @@ proc prepend*[T](L: var TDoublyLinkedRing[T], value: T) =
proc remove*[T](L: var TDoublyLinkedRing[T], n: PDoublyLinkedNode[T]) =
## removes `n` from `L`. Efficiency: O(1).
if n == L.tail:
if n == L.head:
# only element:
L.tail = nil
L.head = nil
else:
L.tail = n.prev
elif n == L.head:
L.head = n.next
n.next.prev = n.prev
n.prev.next = n.next
# break cycles for the GC; not necessary, but might help:
n.next = nil
n.prev = nil
if n == L.head:
var p = L.head.prev
if p == L.head:
# only one element left:
L.head = nil
else:
L.head = L.head.prev

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@@ -0,0 +1,231 @@
#
#
# Nimrod's Runtime Library
# (c) Copyright 2011 Andreas Rumpf
#
# See the file "copying.txt", included in this
# distribution, for details about the copyright.
#
## The ``sets`` module implements an efficient hash set and ordered hash set.
##
## Note: The data types declared here have *value semantics*: This means that
## ``=`` performs a copy of the hash table. If you are overly concerned with
## efficiency and know what you do (!), you can define the symbol
## ``shallowADT`` to compile a version that uses shallow copies instead.
import
os, hashes, math
when defined(shallowADT):
{.pragma: myShallow, shallow.}
else:
{.pragma: myShallow.}
type
TSlotEnum = enum seEmpty, seFilled, seDeleted
TKeyValuePair[A] = tuple[slot: TSlotEnum, key: A]
TKeyValuePairSeq[A] = seq[TKeyValuePair[A]]
TSet* {.final, myShallow.}[A] = object
data: TKeyValuePairSeq[A]
counter: int
proc len*[A](s: TSet[A]): int =
## returns the number of keys in `s`.
result = s.counter
proc card*[A](s: TSet[A]): int =
## alias for `len`.
result = s.counter
iterator items*[A](s: TSet[A]): A =
## iterates over any key in the table `t`.
for h in 0..high(s.data):
if s.data[h].slot == seFilled: yield s.data[h].key
const
growthFactor = 2
proc mustRehash(length, counter: int): bool {.inline.} =
assert(length > counter)
result = (length * 2 < counter * 3) or (length - counter < 4)
proc nextTry(h, maxHash: THash): THash {.inline.} =
result = ((5 * h) + 1) and maxHash
template rawGetImpl() =
var h: THash = hash(key) and high(s.data) # start with real hash value
while s.data[h].slot != seEmpty:
if s.data[h].key == key and s.data[h].slot == seFilled:
return h
h = nextTry(h, high(s.data))
result = -1
template rawInsertImpl() =
var h: THash = hash(key) and high(data)
while data[h].slot == seFilled:
h = nextTry(h, high(data))
data[h].key = key
data[h].slot = seFilled
proc RawGet[A](s: TSet[A], key: A): int =
rawGetImpl()
proc contains*[A](s: TSet[A], key: A): bool =
## returns true iff `key` is in `s`.
var index = RawGet(t, key)
result = index >= 0
proc RawInsert[A](s: var TSet[A], data: var TKeyValuePairSeq[A], key: A) =
rawInsertImpl()
proc Enlarge[A](s: var TSet[A]) =
var n: TKeyValuePairSeq[A]
newSeq(n, len(s.data) * growthFactor)
for i in countup(0, high(s.data)):
if s.data[i].slot == seFilled: RawInsert(s, n, s.data[i].key)
swap(s.data, n)
template inclImpl() =
var index = RawGet(s, key)
if index < 0:
if mustRehash(len(s.data), s.counter): Enlarge(s)
RawInsert(s, s.data, key)
inc(s.counter)
template containsOrInclImpl() =
var index = RawGet(s, key)
if index >= 0:
result = true
else:
if mustRehash(len(s.data), s.counter): Enlarge(s)
RawInsert(s, s.data, key)
inc(s.counter)
proc incl*[A](s: var TSet[A], key: A) =
## includes an element `key` in `s`.
inclImpl()
proc excl*[A](s: var TSet[A], key: A) =
## excludes `key` from the set `s`.
var index = RawGet(t, key)
if index >= 0:
s.data[index].slot = seDeleted
dec(s.counter)
proc containsOrIncl*[A](s: var TSet[A], key: A): bool =
## returns true if `s` contains `key`, otherwise `key` is included in `s`
## and false is returned.
containsOrInclImpl()
proc initSet*[A](initialSize=64): TSet[A] =
## creates a new hash set that is empty. `initialSize` needs to be
## a power of two.
assert isPowerOfTwo(initialSize)
result.counter = 0
newSeq(result.data, initialSize)
proc toSet*[A](keys: openarray[A]): TSet[A] =
## creates a new hash set that contains the given `keys`.
result = initSet[A](nextPowerOfTwo(keys.len+10))
for key in items(keys): result.incl(key)
template dollarImpl(): stmt =
result = "{"
for key in items(s):
if result.len > 1: result.add(", ")
result.add($key)
result.add("}")
proc `$`*[A](s: TSet[A]): string =
## The `$` operator for hash sets.
dollarImpl()
# ------------------------------ ordered table ------------------------------
type
TOrderedKeyValuePair[A] = tuple[
slot: TSlotEnum, next: int, key: A]
TOrderedKeyValuePairSeq[A] = seq[TOrderedKeyValuePair[A]]
TOrderedSet* {.
final, myShallow.}[A] = object ## set that remembers insertion order
data: TOrderedKeyValuePairSeq[A]
counter, first, last: int
proc len*[A](s: TOrderedSet[A]): int {.inline.} =
## returns the number of keys in `s`.
result = t.counter
proc card*[A](s: TOrderedSet[A]): int {.inline.} =
## alias for `len`.
result = t.counter
template forAllOrderedPairs(yieldStmt: stmt) =
var h = s.first
while h >= 0:
var nxt = s.data[h].next
if s.data[h].slot == seFilled: yieldStmt
h = nxt
iterator items*[A](s: TOrderedSet[A]): A =
## iterates over any key in the set `s` in insertion order.
forAllOrderedPairs:
yield s.data[h].key
proc RawGet[A](s: TOrderedSet[A], key: A): int =
rawGetImpl()
proc contains*[A](s: TOrderedSet[A], key: A): bool =
## returns true iff `key` is in `s`.
var index = RawGet(s, key)
result = index >= 0
proc RawInsert[A](s: var TOrderedSet[A],
data: var TOrderedKeyValuePairSeq[A], key: A) =
rawInsertImpl()
data[h].next = -1
if s.first < 0: s.first = h
if s.last >= 0: data[s.last].next = h
s.last = h
proc Enlarge[A](s: var TOrderedSet[A]) =
var n: TOrderedKeyValuePairSeq[A]
newSeq(n, len(s.data) * growthFactor)
var h = s.first
s.first = -1
s.last = -1
while h >= 0:
var nxt = s.data[h].next
if s.data[h].slot == seFilled:
RawInsert(s, n, s.data[h].key)
h = nxt
swap(s.data, n)
proc incl*[A](s: var TOrderedSet[A], key: A) =
## includes an element `key` in `s`.
inclImpl()
proc containsOrIncl*[A](s: var TOrderedSet[A], key: A): bool =
## returns true if `s` contains `key`, otherwise `key` is included in `s`
## and false is returned.
containsOrInclImpl()
proc initOrderedSet*[A](initialSize=64): TOrderedSet[A] =
## creates a new ordered hash set that is empty. `initialSize` needs to be
## a power of two.
assert isPowerOfTwo(initialSize)
result.counter = 0
result.first = -1
result.last = -1
newSeq(result.data, initialSize)
proc toOrderedSet*[A](keys: openarray[A]): TOrderedSet[A] =
## creates a new ordered hash set that contains the given `keys`.
result = initOrderedSet[A](nextPowerOfTwo(keys.len+10))
for key in items(keys): result.incl(key)
proc `$`*[A](s: TOrderedSet[A]): string =
## The `$` operator for ordered hash sets.
dollarImpl()

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@@ -1,7 +1,7 @@
#
#
# Nimrod's Runtime Library
# (c) Copyright 2011 Andreas Rumpf, Dominik Picheta
# (c) Copyright 2011 Andreas Rumpf
#
# See the file "copying.txt", included in this
# distribution, for details about the copyright.
@@ -12,7 +12,7 @@
##
## Note: The data types declared here have *value semantics*: This means that
## ``=`` performs a copy of the hash table. If you are overly concerned with
## efficiency and don't need this behaviour, you can define the symbol
## efficiency and know what you do (!), you can define the symbol
## ``shallowADT`` to compile a version that uses shallow copies instead.
import
@@ -123,7 +123,7 @@ proc del*[A, B](t: var TTable[A, B], key: A) =
dec(t.counter)
proc initTable*[A, B](initialSize=64): TTable[A, B] =
## creates a new hash table table that is empty. `initialSize` needs to be
## creates a new hash table that is empty. `initialSize` needs to be
## a power of two.
assert isPowerOfTwo(initialSize)
result.counter = 0
@@ -132,7 +132,7 @@ proc initTable*[A, B](initialSize=64): TTable[A, B] =
proc toTable*[A, B](pairs: openarray[tuple[key: A,
val: B]]): TTable[A, B] =
## creates a new hash table that contains the given `pairs`.
result = initTable[A](nextPowerOfTwo(pairs.len+10))
result = initTable[A, B](nextPowerOfTwo(pairs.len+10))
for key, val in items(pairs): result[key] = val
template dollarImpl(): stmt =
@@ -148,7 +148,7 @@ template dollarImpl(): stmt =
result.add("}")
proc `$`*[A, B](t: TTable[A, B]): string =
## The `$` operator for string tables.
## The `$` operator for hash tables.
dollarImpl()
# ------------------------------ ordered table ------------------------------
@@ -167,11 +167,11 @@ proc len*[A, B](t: TOrderedTable[A, B]): int {.inline.} =
result = t.counter
template forAllOrderedPairs(yieldStmt: stmt) =
var i = t.first
while i >= 0:
var nxt = t.data[i].next
var h = t.first
while h >= 0:
var nxt = t.data[h].next
if t.data[h].slot == seFilled: yieldStmt
i = nxt
h = nxt
iterator pairs*[A, B](t: TOrderedTable[A, B]): tuple[key: A, val: B] =
## iterates over any (key, value) pair in the table `t` in insertion
@@ -204,23 +204,29 @@ proc hasKey*[A, B](t: TOrderedTable[A, B], key: A): bool =
## returns true iff `key` is in the table `t`.
result = rawGet(t, key) >= 0
proc RawInsert[A, B](t: TOrderedTable[A, B],
proc RawInsert[A, B](t: var TOrderedTable[A, B],
data: var TOrderedKeyValuePairSeq[A, B],
key: A, val: B) =
rawInsertImpl()
data[h].next = -1
if first < 0: first = h
if last >= 0: data[last].next = h
lastEntry = h
if t.first < 0: t.first = h
if t.last >= 0: data[t.last].next = h
t.last = h
proc Enlarge[A, B](t: TOrderedTable[A, B]) =
proc Enlarge[A, B](t: var TOrderedTable[A, B]) =
var n: TOrderedKeyValuePairSeq[A, B]
newSeq(n, len(t.data) * growthFactor)
forAllOrderedPairs:
RawInsert(t, n, t.data[h].key, t.data[h].val)
var h = t.first
t.first = -1
t.last = -1
while h >= 0:
var nxt = t.data[h].next
if t.data[h].slot == seFilled:
RawInsert(t, n, t.data[h].key, t.data[h].val)
h = nxt
swap(t.data, n)
proc `[]=`*[A, B](t: TOrderedTable[A, B], key: A, val: B) =
proc `[]=`*[A, B](t: var TOrderedTable[A, B], key: A, val: B) =
## puts a (key, value)-pair into `t`.
putImpl()
@@ -240,7 +246,7 @@ proc toOrderedTable*[A, B](pairs: openarray[tuple[key: A,
for key, val in items(pairs): result[key] = val
proc `$`*[A, B](t: TOrderedTable[A, B]): string =
## The `$` operator for hash tables.
## The `$` operator for ordered hash tables.
dollarImpl()
# ------------------------------ count tables -------------------------------
@@ -295,14 +301,14 @@ proc RawInsert[A](t: TCountTable[A], data: var seq[tuple[key: A, val: int]],
data[h].key = key
data[h].val = val
proc Enlarge[A](t: TCountTable[A]) =
proc Enlarge[A](t: var TCountTable[A]) =
var n: seq[tuple[key: A, val: int]]
newSeq(n, len(t.data) * growthFactor)
for i in countup(0, high(t.data)):
if t.data[i].val != 0: RawInsert(t, n, t.data[i].key, t.data[i].val)
swap(t.data, n)
proc `[]=`*[A](t: TCountTable[A], key: A, val: int) =
proc `[]=`*[A](t: var TCountTable[A], key: A, val: int) =
## puts a (key, value)-pair into `t`. `val` has to be positive.
assert val > 0
PutImpl()
@@ -323,7 +329,7 @@ proc `$`*[A](t: TCountTable[A]): string =
## The `$` operator for count tables.
dollarImpl()
proc inc*[A](t: TCountTable[A], key: A, val = 1) =
proc inc*[A](t: var TCountTable[A], key: A, val = 1) =
## increments `t[key]` by `val`.
var index = RawGet(t, key)
if index >= 0:
@@ -351,8 +357,8 @@ proc Largest*[A](t: TCountTable[A]): tuple[key: A, val: int] =
result.key = t.data[maxIdx].key
result.val = t.data[maxIdx].val
proc sort*[A](t: var TCountTable[A]) =
## sorts the count table so that the entry with the highest counter comes
proc sort*[A](t: var TCountTable[A]) =
## sorts the count table so that the entry with the highest counter comes
## first. This is destructive! You must not modify `t` afterwards!
## You can use the iterators `pairs`, `keys`, and `values` to iterate over
## `t` in the sorted order.
@@ -361,35 +367,14 @@ proc sort*[A](t: var TCountTable[A]) =
var h = 1
while true:
h = 3 * h + 1
if h >= t.data.high: break
while true:
if h >= high(t.data): break
while true:
h = h div 3
for i in countup(h, t.data.high):
for i in countup(h, high(t.data)):
var j = i
while t.data[j-h].val < t.data[j].val:
while t.data[j-h].val <= t.data[j].val:
swap(t.data[j], t.data[j-h])
j = j-h
if j < h: break
if h == 1: break
when isMainModule:
var table = initHashTable[string, float]()
table["test"] = 1.2345
table["111"] = 1.000043
echo table
table.del("111")
echo table
#echo repr(table["111"])
#echo(repr(table["1212"]))
table["111"] = 1.5
table["011"] = 67.9
echo table
table.del("test")
table.del("111")
echo table
echo hash("test")
echo hash("test")

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@@ -0,0 +1,66 @@
discard """
output: '''true'''
"""
import lists
const
data = [1, 2, 3, 4, 5, 6]
block SinglyLinkedListTest1:
var L: TSinglyLinkedList[int]
for d in items(data): L.prepend(d)
assert($L == "[6, 5, 4, 3, 2, 1]")
assert(4 in L)
block SinglyLinkedListTest2:
var L: TSinglyLinkedList[string]
for d in items(data): L.prepend($d)
assert($L == "[6, 5, 4, 3, 2, 1]")
assert("4" in L)
block DoublyLinkedListTest1:
var L: TDoublyLinkedList[int]
for d in items(data): L.prepend(d)
for d in items(data): L.append(d)
L.remove(L.find(1))
assert($L == "[6, 5, 4, 3, 2, 1, 2, 3, 4, 5, 6]")
assert(4 in L)
block SinglyLinkedRingTest1:
var L: TSinglyLinkedRing[int]
L.prepend(4)
assert($L == "[4]")
L.prepend(4)
assert($L == "[4, 4]")
assert(4 in L)
block DoublyLinkedRingTest1:
var L: TDoublyLinkedRing[int]
L.prepend(4)
assert($L == "[4]")
L.prepend(4)
assert($L == "[4, 4]")
assert(4 in L)
L.append(3)
L.append(5)
assert($L == "[4, 4, 3, 5]")
L.remove(L.find(3))
L.remove(L.find(5))
L.remove(L.find(4))
L.remove(L.find(4))
assert($L == "[]")
assert(4 notin L)
echo "true"

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@@ -0,0 +1,62 @@
discard """
output: '''true'''
cmd: "nimrod cc --gc:none --hints:on $# $#"
"""
import hashes, sets
const
data = [
"34", "12",
"90", "0",
"1", "2",
"3", "4",
"5", "6",
"7", "8",
"9", "---00",
"10", "11", "19",
"20", "30", "40",
"50", "60", "70",
"80"]
block tableTest1:
var t = initSet[tuple[x, y: int]]()
t.incl((0,0))
t.incl((1,0))
assert(not t.containsOrIncl((0,1)))
t.incl((1,1))
for x in 0..1:
for y in 0..1:
assert((x,y) in t)
#assert($t ==
# "{(x: 0, y: 0), (x: 0, y: 1), (x: 1, y: 0), (x: 1, y: 1)}")
block setTest2:
var t = initSet[string]()
t.incl("test")
t.incl("111")
t.incl("123")
t.excl("111")
t.incl("012")
t.incl("123") # test duplicates
assert "123" in t
assert "111" notin t # deleted
for key in items(data): t.incl(key)
for key in items(data): assert key in t
block orderedSetTest1:
var t = data.toOrderedSet
for key in items(data): assert key in t
var i = 0
# `items` needs to yield in insertion order:
for key in items(t):
assert key == data[i]
inc(i)
echo "true"

View File

@@ -1,18 +1,84 @@
discard """
output: '''true'''
cmd: "nimrod cc --gc:none --hints:on $# $#"
"""
import hashes, tables
var t = initTable[tuple[x, y: int], string]()
t[(0,0)] = "00"
t[(1,0)] = "10"
t[(0,1)] = "01"
t[(1,1)] = "11"
const
data = {
"34": 123456, "12": 789,
"90": 343, "0": 34404,
"1": 344004, "2": 344774,
"3": 342244, "4": 3412344,
"5": 341232144, "6": 34214544,
"7": 3434544, "8": 344544,
"9": 34435644, "---00": 346677844,
"10": 34484, "11": 34474, "19": 34464,
"20": 34454, "30": 34141244, "40": 344114,
"50": 344490, "60": 344491, "70": 344492,
"80": 344497}
for x in 0..1:
for y in 0..1:
assert t[(x,y)] == $x & $y
block tableTest1:
var t = initTable[tuple[x, y: int], string]()
t[(0,0)] = "00"
t[(1,0)] = "10"
t[(0,1)] = "01"
t[(1,1)] = "11"
for x in 0..1:
for y in 0..1:
assert t[(x,y)] == $x & $y
assert($t ==
"{(x: 0, y: 0): 00, (x: 0, y: 1): 01, (x: 1, y: 0): 10, (x: 1, y: 1): 11}")
block tableTest2:
var t = initTable[string, float]()
t["test"] = 1.2345
t["111"] = 1.000043
t["123"] = 1.23
t.del("111")
t["012"] = 67.9
t["123"] = 1.5 # test overwriting
assert t["123"] == 1.5
assert t["111"] == 0.0 # deleted
assert(not hasKey(t, "111"))
for key, val in items(data): t[key] = val.toFloat
for key, val in items(data): assert t[key] == val.toFloat
block orderedTableTest1:
var t = initOrderedTable[string, int](2)
for key, val in items(data): t[key] = val
for key, val in items(data): assert t[key] == val
var i = 0
# `pairs` needs to yield in insertion order:
for key, val in pairs(t):
assert key == data[i][0]
assert val == data[i][1]
inc(i)
block countTableTest1:
var s = data.toTable
var t = initCountTable[string]()
for k in s.Keys: t.inc(k)
for k in t.keys: assert t[k] == 1
t.inc("90", 3)
t.inc("12", 2)
t.inc("34", 1)
assert t.largest()[0] == "90"
t.sort()
var i = 0
for k, v in t.pairs:
case i
of 0: assert k == "90" and v == 4
of 1: assert k == "12" and v == 3
of 2: assert k == "34" and v == 2
else: break
inc i
echo "true"

View File

@@ -4,12 +4,13 @@
from different heaps: n.next = otherHeapPtr
* add --deadlock_prevention:on|off switch? timeout for locks?
* test the sort implementation again
High priority (version 0.9.0)
=============================
- iterators should not always be destructive!
- warning for implicit openArray -> varargs convention
- implement explicit varargs
- tests: run modules that contain "#RUN_ME", compile the other
@@ -19,7 +20,6 @@ High priority (version 0.9.0)
- fix overloading resolution
- wrong co-/contravariance
- make ^ available as operator
- iterators should not always be destructive
Bugs
----
@@ -30,12 +30,23 @@ Bugs
- BUG: generic assign still buggy
- Optimization: If we use a temporary for the result anyway the code gen
should make use of this fact to generate better code...
- sorting with leads to a strange memory corruption!
--> system.swap or genericAssign is broken! And indeed, if reference counts
are not modified and the GC is triggered in between a swap, bad things
may happen!
proc sort*[A](t: var TCountTable[A]) =
for i in 0 .. high(t.data)-1:
var maxIdx = i
for j in i+1 .. high(t.data):
if t.data[j].val == 3: echo "touched! ", t.data[j].key
if t.data[j].val > t.data[maxIdx].val: maxIdx = j
swap(t.data[maxIdx], t.data[i])
To implement
------------
* hash tables and sets; count tables; ordered dicts
* distinct types for array/seq indexes
* implement closures for the C code generator
* GC: marker procs for native Nimrod GC and Boehm GC
@@ -68,6 +79,7 @@ Low priority
Library
-------
- specialized bit sets; specialized string sets
- locale support
- conversion between character sets
- bignums

View File

@@ -48,6 +48,9 @@ Changes affecting backwards compatibility
Additions
---------
- Added ``lists`` module which contains generic linked lists.
- Added ``sets`` module which contains generic hash sets.
- Added ``tables`` module which contains generic hash tables.
- Added ``scgi`` module.
- Added ``smtp`` module.
- Added ``re.findAll``, ``pegs.findAll``.

View File

@@ -38,6 +38,7 @@ srcdoc: "pure/ropes;pure/unidecode/unidecode;pure/xmldom;pure/xmldomparser"
srcdoc: "pure/xmlparser;pure/htmlparser;pure/xmltree;pure/colors"
srcdoc: "pure/json;pure/base64;pure/scgi;pure/redis;impure/graphics"
srcdoc: "impure/rdstdin;wrappers/zmq"
srcdoc: "pure/collections/tables;pure/collections/sets;pure/collections/lists"
webdoc: "wrappers/libcurl;pure/md5;wrappers/mysql;wrappers/iup"
webdoc: "wrappers/sqlite3;wrappers/postgres;wrappers/tinyc"