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pickle.codon
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272 lines (230 loc) · 7.45 KB
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# Copyright (C) 2022 Exaloop Inc. <https://exaloop.io>
from internal.file import _gz_errcheck
from internal.gc import sizeof, atomic
def pickle(x: T, jar: Jar, T: type):
x.__pickle__(jar)
def unpickle(jar: Jar, T: type) -> T:
return T.__unpickle__(jar)
def dump(x: T, f, T: type):
x.__pickle__(f.fp)
def load(f, T: type) -> T:
return T.__unpickle__(f.fp)
def _write_raw(jar: Jar, p: cobj, n: int):
LIMIT = 0x7FFFFFFF
while n > 0:
b = n if n < LIMIT else LIMIT
status = int(_C.gzwrite(jar, p, u32(b)))
if status != b:
_gz_errcheck(jar)
raise IOError(f"pickle error: gzwrite returned {status}")
p += b
n -= b
def _read_raw(jar: Jar, p: cobj, n: int):
LIMIT = 0x7FFFFFFF
while n > 0:
b = n if n < LIMIT else LIMIT
status = int(_C.gzread(jar, p, u32(b)))
if status != b:
_gz_errcheck(jar)
raise IOError(f"pickle error: gzread returned {status}")
p += b
n -= b
def _write(jar: Jar, x: T, T: type):
y = __ptr__(x)
_write_raw(jar, y.as_byte(), sizeof(T))
def _read(jar: Jar, T: type) -> T:
x = T()
y = __ptr__(x)
_read_raw(jar, y.as_byte(), sizeof(T))
return x
# Extend core types to allow pickling
@extend
class int:
def __pickle__(self, jar: Jar):
_write(jar, self)
def __unpickle__(jar: Jar) -> int:
return _read(jar, int)
@extend
class Int:
def __pickle__(self, jar: Jar):
_write(jar, self)
def __unpickle__(jar: Jar) -> Int[N]:
return _read(jar, Int[N])
@extend
class UInt:
def __pickle__(self, jar: Jar):
_write(jar, self)
def __unpickle__(jar: Jar) -> UInt[N]:
return _read(jar, UInt[N])
@extend
class float:
def __pickle__(self, jar: Jar):
_write(jar, self)
def __unpickle__(jar: Jar) -> float:
return _read(jar, float)
@extend
class float32:
def __pickle__(self, jar: Jar):
_write(jar, self)
def __unpickle__(jar: Jar) -> float32:
return _read(jar, float32)
@extend
class bool:
def __pickle__(self, jar: Jar):
_write(jar, self)
def __unpickle__(jar: Jar) -> bool:
return _read(jar, bool)
@extend
class byte:
def __pickle__(self, jar: Jar):
_write(jar, self)
def __unpickle__(jar: Jar) -> byte:
return _read(jar, byte)
@extend
class str:
def __pickle__(self, jar: Jar):
_write(jar, self.len)
_write_raw(jar, self.ptr, self.len)
def __unpickle__(jar: Jar) -> str:
n = _read(jar, int)
p = Ptr[byte](n)
_read_raw(jar, p, n)
return str(p, n)
@extend
class List:
def __pickle__(self, jar: Jar):
n = len(self)
pickle(n, jar)
if atomic(T):
_write_raw(jar, (self.arr.ptr).as_byte(), n * sizeof(T))
else:
for i in range(n):
pickle(self.arr[i], jar)
def __unpickle__(jar: Jar) -> List[T]:
n = unpickle(jar, int)
arr = Array[T](n)
if atomic(T):
_read_raw(jar, (arr.ptr).as_byte(), n * sizeof(T))
else:
for i in range(n):
arr[i] = unpickle(jar, T)
return List[T](arr, n)
@extend
class DynamicTuple:
def __pickle__(self, jar: Jar):
n = len(self)
pickle(n, jar)
if atomic(T):
_write_raw(jar, (self._ptr).as_byte(), n * sizeof(T))
else:
for i in range(n):
pickle(self._ptr[i], jar)
def __unpickle__(jar: Jar) -> DynamicTuple[T]:
n = unpickle(jar, int)
p = Ptr[T](n)
if atomic(T):
_read_raw(jar, p.as_byte(), n * sizeof(T))
else:
for i in range(n):
p[i] = unpickle(jar, T)
return DynamicTuple[T](p, n)
@extend
class Dict:
def __pickle__(self, jar: Jar):
import internal.khash as khash
if atomic(K) and atomic(V):
pickle(self._n_buckets, jar)
pickle(self._size, jar)
pickle(self._n_occupied, jar)
pickle(self._upper_bound, jar)
fsize = khash.__ac_fsize(self._n_buckets) if self._n_buckets > 0 else 0
_write_raw(jar, self._flags.as_byte(), fsize * sizeof(u32))
_write_raw(jar, self._keys.as_byte(), self._n_buckets * sizeof(K))
_write_raw(jar, self._vals.as_byte(), self._n_buckets * sizeof(V))
else:
pickle(self._n_buckets, jar)
size = len(self)
pickle(size, jar)
for k, v in self.items():
pickle(k, jar)
pickle(v, jar)
def __unpickle__(jar: Jar) -> Dict[K, V]:
import internal.khash as khash
d = {}
if atomic(K) and atomic(V):
n_buckets = unpickle(jar, int)
size = unpickle(jar, int)
n_occupied = unpickle(jar, int)
upper_bound = unpickle(jar, int)
fsize = khash.__ac_fsize(n_buckets) if n_buckets > 0 else 0
flags = Ptr[u32](fsize)
keys = Ptr[K](n_buckets)
vals = Ptr[V](n_buckets)
_read_raw(jar, flags.as_byte(), fsize * sizeof(u32))
_read_raw(jar, keys.as_byte(), n_buckets * sizeof(K))
_read_raw(jar, vals.as_byte(), n_buckets * sizeof(V))
d._n_buckets = n_buckets
d._size = size
d._n_occupied = n_occupied
d._upper_bound = upper_bound
d._flags = flags
d._keys = keys
d._vals = vals
else:
n_buckets = unpickle(jar, int)
size = unpickle(jar, int)
d.resize(n_buckets)
i = 0
while i < size:
k = unpickle(jar, K)
v = unpickle(jar, V)
d[k] = v
i += 1
return d
@extend
class Set:
def __pickle__(self, jar: Jar):
import internal.khash as khash
if atomic(K):
pickle(self._n_buckets, jar)
pickle(self._size, jar)
pickle(self._n_occupied, jar)
pickle(self._upper_bound, jar)
fsize = khash.__ac_fsize(self._n_buckets) if self._n_buckets > 0 else 0
_write_raw(jar, self._flags.as_byte(), fsize * sizeof(u32))
_write_raw(jar, self._keys.as_byte(), self._n_buckets * sizeof(K))
else:
pickle(self._n_buckets, jar)
size = len(self)
pickle(size, jar)
for k in self:
pickle(k, jar)
def __unpickle__(jar: Jar) -> Set[K]:
import internal.khash as khash
s = set[K]()
if atomic(K):
n_buckets = unpickle(jar, int)
size = unpickle(jar, int)
n_occupied = unpickle(jar, int)
upper_bound = unpickle(jar, int)
fsize = khash.__ac_fsize(n_buckets) if n_buckets > 0 else 0
flags = Ptr[u32](fsize)
keys = Ptr[K](n_buckets)
_read_raw(jar, flags.as_byte(), fsize * sizeof(u32))
_read_raw(jar, keys.as_byte(), n_buckets * sizeof(K))
s._n_buckets = n_buckets
s._size = size
s._n_occupied = n_occupied
s._upper_bound = upper_bound
s._flags = flags
s._keys = keys
else:
n_buckets = unpickle(jar, int)
size = unpickle(jar, int)
s.resize(n_buckets)
i = 0
while i < size:
k = unpickle(jar, K)
s.add(k)
i += 1
return s