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persistent_hash_map.py
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327 lines (247 loc) · 9.75 KB
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py_object = object
import pixie.vm.object as object
from pixie.vm.object import affirm
from pixie.vm.primitives import nil, true, false
from pixie.vm.numbers import Integer
import pixie.vm.stdlib as proto
from pixie.vm.code import extend, as_var
from rpython.rlib.rarithmetic import r_uint, intmask
import rpython.rlib.jit as jit
import pixie.vm.rt as rt
MASK_32 = 0xFFFFFFFF
class Box(py_object):
def __init__(self):
self._val = None
class PersistentHashMap(object.Object):
_type = object.Type(u"pixie.stdlib.PersistentHashMap")
def type(self):
return PersistentHashMap._type
def __init__(self, cnt, root, meta=nil):
self._cnt = cnt
self._root = root
self._meta = meta
def assoc(self, key, val):
added_leaf = Box()
new_root = (BitmapIndexedNode_EMPTY if self._root is None else self._root) \
.assoc_inode(r_uint(0), rt.hash(key), key, val, added_leaf)
if new_root is self._root:
return self
return PersistentHashMap(self._cnt if added_leaf._val is None else self._cnt + 1, new_root, self._meta)
def val_at(self, key, not_found):
return not_found if self._root is None else self._root.find(r_uint(0), rt.hash(key), key, not_found)
class INode(object.Object):
_type = object.Type(u"pixie.stdlib.INode")
def type(self):
return INode._type
def assoc_inode(self, shift, hash_val, key, val, added_leaf):
pass
def find(self, shift, hash_val, key, not_found):
pass
def reduce_inode(self, f, init):
pass
def mask(hash, shift):
return (hash >> shift) & 0x01f
def bitpos(hash, shift):
return (1 << mask(hash, shift)) & MASK_32
class BitmapIndexedNode(INode):
def __init__(self, edit, bitmap, array):
self._edit = edit
self._bitmap = bitmap
self._array = array
def index(self, bit):
return bit_count(self._bitmap & (bit - 1))
def assoc_inode(self, shift, hash_val, key, val, added_leaf):
bit = bitpos(hash_val, shift)
idx = self.index(bit)
if (self._bitmap & bit) != 0:
key_or_null = self._array[2 * idx]
val_or_node = self._array[2 * idx + 1]
if key_or_null is None:
assert isinstance(val_or_node, INode)
n = val_or_node.assoc_inode(shift + 5, hash_val, key, val, added_leaf)
if n is val_or_node:
return self
return BitmapIndexedNode(None, self._bitmap, clone_and_set(self._array, 2 * idx + 1, n))
if key_or_null is None or rt.eq(key, key_or_null):
if val is val_or_node:
return self
return BitmapIndexedNode(None, self._bitmap, clone_and_set(self._array, 2 * idx + 1, val))
added_leaf._val = added_leaf
return BitmapIndexedNode(None, self._bitmap,
clone_and_set2(self._array,
2 * idx, None,
2 * idx + 1, create_node(shift+ 5, key_or_null, val_or_node, hash_val, key, val)))
else:
n = bit_count(self._bitmap)
if n >= 16:
nodes = [None] * 32
jdx = mask(hash_val, shift)
nodes[jdx] = BitmapIndexedNode_EMPTY.assoc_inode(shift + 5, hash_val, key, val, added_leaf)
j = 0
for i in range(32):
if (self._bitmap >> i) & 1 != 0:
if self._array[j] is None:
nodes[i] = self._array[j + 1]
else:
nodes[i] = BitmapIndexedNode_EMPTY.assoc_inode(shift + 5, rt.hash(self._array[j]),
self._array[j], self._array[j + 1], added_leaf)
j += 1
return ArrayNode(None, n + 1, nodes)
else:
new_array = [None] * (2 * (n + 1))
list_copy(self._array, 0, new_array, 0, 2 * idx)
new_array[2 * idx] = key
added_leaf._val = added_leaf
new_array[2 * idx + 1] = val
list_copy(self._array, 2 * idx, new_array, 2 * (idx + 1), 2 * (n - idx))
return BitmapIndexedNode(None, self._bitmap | bit, new_array)
def find(self, shift, hash_val, key, not_found):
bit = bitpos(hash_val, shift)
if (self._bitmap & bit) == 0:
return not_found
idx = self.index(bit)
key_or_null = self._array[2 * idx]
val_or_node = self._array[2 * idx + 1]
if key_or_null is None:
return val_or_node.find(shift + 5, hash_val, key, not_found)
if rt.eq(key, key_or_null):
return val_or_node
return not_found
def reduce_inode(self, f, init):
for x in range(0, len(self._array), 2):
key_or_none = self._array[x]
val_or_node = self._array[x + 1]
if key_or_none is None and val_or_node is not None:
init = init.reduce_inode(f, init)
else:
init = f.invoke([init, rt.map_entry(key_or_none, val_or_node)])
if rt.reduced_QMARK_(init):
return init
return init
BitmapIndexedNode_EMPTY = BitmapIndexedNode(None, r_uint(0), [])
class ArrayNode(INode):
def __init__(self, edit, cnt, array):
self._cnt = cnt
self._edit = edit
self._array = array
def assoc_inode(self, shift, hash_val, key, val, added_leaf):
idx = mask(hash_val, shift)
node = self._array[idx]
if node is None:
return ArrayNode(None, self._cnt + 1, clone_and_set(self._array, idx,
BitmapIndexedNode_EMPTY.assoc_inode(shift + 5, hash_val, key, val, added_leaf)))
n = node.assoc_inode(shift + 5, hash_val, key, val, added_leaf)
if n is node:
return self
return ArrayNode(None, self._cnt, clone_and_set(self._array, idx, n))
def find(self, shift, hash_val, key, not_found):
idx = mask(hash_val, shift)
node = self._array[idx]
if node is None:
return not_found
return node.find(shift + 5, hash_val, key, not_found)
def reduce_inode(self, f, init):
for x in range(len(self._array)):
node = self._array[x]
if node is not None:
init = node.reduce_inode(f, init)
if rt.reduced_QMARK_(init):
return init
return init
class HashCollisionNode(INode):
def __init__(self, edit, hash, array):
self._hash = hash
self._edit = edit
self._array = array
def assoc_inode(self, shift, hash_val, key, val, added_leaf):
assert False
def find(self, shift, hash_val, key, not_found):
for x in range(0, len(self._array), 2):
key_or_nil = self._array[x]
if key_or_nil is not None and rt.eq(key_or_nil, key):
return self._array[x + 1]
return not_found
def reduce_inode(self, f, init):
for x in range(0, len(self._array), 2):
key_or_nil = self._array[x]
if key_or_nil is None:
continue
val = self._array[x + 1]
init = f.invoke([init, val])
if rt.reduced_QMARK_(init):
return init
return init
def create_node(shift, key1, val1, key2hash, key2, val2):
key1hash = rt.hash(key1)
if key1hash == key2hash:
return HashCollisionNode(None, key1hash, [key1, val1, key2, val2])
added_leaf = Box()
return BitmapIndexedNode_EMPTY.assoc_inode(shift, key1hash, key1, val1, added_leaf) \
.assoc_inode(shift, key1hash, key1, val1, added_leaf)
def bit_count(i):
assert isinstance(i, r_uint)
i = i - ((i >> 1) & 0x55555555)
i = (i & 0x33333333) + ((i >> 2) & 0x33333333)
return (((i + (i >> 4) & 0xF0F0F0F) * 0x1010101) & 0xffffffff) >> 24
@jit.unroll_safe
def list_copy(from_lst, from_loc, to_list, to_loc, count):
from_loc = r_uint(from_loc)
to_loc = r_uint(to_loc)
count = r_uint(count)
i = r_uint(0)
while i < count:
to_list[to_loc + i] = from_lst[from_loc+i]
i += 1
return to_list
@jit.unroll_safe
def clone_and_set(array, i, a):
clone = [None] * len(array)
idx = r_uint(0)
while idx < len(array):
clone[idx] = array[idx]
clone[i] = a
return clone
@jit.unroll_safe
def clone_and_set2(array, i, a, j, b):
clone = [None] * len(array)
idx = r_uint(0)
while idx < len(array):
clone[idx] = array[idx]
clone[i] = a
clone[j] = b
return clone
### hook into RT
EMPTY = PersistentHashMap(r_uint(0), None)
@as_var("hashmap")
def hashmap__args(args):
affirm(len(args) & 0x1 == 0, u"hashmap requires even number of args")
idx = 0
acc = EMPTY
while idx < len(args):
key = args[idx]
val = args[idx + 1]
acc = acc.assoc(key, val)
idx += 2
return acc
@extend(proto._val_at, PersistentHashMap)
def _val_at(self, key, not_found):
assert isinstance(self, PersistentHashMap)
return self.val_at(key, not_found)
@extend(proto._reduce, PersistentHashMap)
def _reduce(self, f, init):
assert isinstance(self, PersistentHashMap)
if self._root is None:
return init
val = self._root.reduce_inode(f, init)
if rt.reduced_QMARK_(val):
return rt.deref(val)
return val
@extend(proto._assoc, PersistentHashMap)
def _assoc(self, key, val):
assert isinstance(self, PersistentHashMap)
return self.assoc(key, val)
proto.IMap.add_satisfies(PersistentHashMap._type)
@extend(proto._count, PersistentHashMap)
def _count(self):
assert isinstance(self, PersistentHashMap)
return rt.wrap(intmask(self._cnt))