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nexedi
cython
Commits
024a3d31
Commit
024a3d31
authored
Oct 03, 2009
by
Robert Bradshaw
Browse files
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Browse Files
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Plain Diff
Actual type inference.
parent
d3ef6b9c
Changes
5
Hide whitespace changes
Inline
Side-by-side
Showing
5 changed files
with
206 additions
and
42 deletions
+206
-42
Cython/Compiler/ExprNodes.py
Cython/Compiler/ExprNodes.py
+70
-31
Cython/Compiler/PyrexTypes.py
Cython/Compiler/PyrexTypes.py
+17
-0
Cython/Compiler/Symtab.py
Cython/Compiler/Symtab.py
+10
-5
Cython/Compiler/TypeInference.py
Cython/Compiler/TypeInference.py
+108
-5
Demos/primes.pyx
Demos/primes.pyx
+1
-1
No files found.
Cython/Compiler/ExprNodes.py
View file @
024a3d31
...
...
@@ -309,12 +309,12 @@ class ExprNode(Node):
# --------------- Type Inference -----------------
def
type_dependencies
(
self
):
def
type_dependencies
(
self
,
env
):
# Returns the list of entries whose types must be determined
# before the type of self can be infered.
if
hasattr
(
self
,
'type'
)
and
self
.
type
is
not
None
:
return
()
return
sum
([
node
.
type_dependencies
()
for
node
in
self
.
subexpr_nodes
()],
())
return
sum
([
node
.
type_dependencies
(
env
)
for
node
in
self
.
subexpr_nodes
()],
())
def
infer_type
(
self
,
env
):
# Attempt to deduce the type of self.
...
...
@@ -832,8 +832,9 @@ class StringNode(ConstNode):
def
calculate_result_code
(
self
):
return
self
.
result_code
class
UnicodeNode
(
PyConstNode
):
# entry Symtab.Entry
type
=
unicode_type
def
coerce_to
(
self
,
dst_type
,
env
):
...
...
@@ -976,8 +977,21 @@ class NameNode(AtomicExprNode):
create_analysed_rvalue
=
staticmethod
(
create_analysed_rvalue
)
def
type_dependencies
(
self
):
return
self
.
entry
def
type_dependencies
(
self
,
env
):
if
self
.
entry
is
None
:
self
.
entry
=
env
.
lookup
(
self
.
name
)
if
self
.
entry
is
not
None
and
self
.
entry
.
type
.
is_unspecified
:
return
(
self
.
entry
,)
else
:
return
()
def
infer_type
(
self
,
env
):
if
self
.
entry
is
None
:
self
.
entry
=
env
.
lookup
(
self
.
name
)
if
self
.
entry
is
None
:
return
py_object_type
else
:
return
self
.
entry
.
type
def
compile_time_value
(
self
,
denv
):
try
:
...
...
@@ -1628,8 +1642,8 @@ class IndexNode(ExprNode):
return
PyrexTypes
.
CArrayType
(
base_type
,
int
(
self
.
index
.
compile_time_value
(
env
)))
return
None
def
type_dependencies
(
self
):
return
self
.
base
.
type_dependencies
()
def
type_dependencies
(
self
,
env
):
return
self
.
base
.
type_dependencies
(
env
)
def
infer_type
(
self
,
env
):
if
isinstance
(
self
.
base
,
StringNode
):
...
...
@@ -2251,10 +2265,10 @@ class SimpleCallNode(CallNode):
except
Exception
,
e
:
self
.
compile_time_value_error
(
e
)
def
type_dependencies
(
self
):
def
type_dependencies
(
self
,
env
):
# TODO: Update when Danilo's C++ code merged in to handle the
# the case of function overloading.
return
self
.
function
.
type_dependencies
()
return
self
.
function
.
type_dependencies
(
env
)
def
infer_type
(
self
,
env
):
func_type
=
self
.
function
.
infer_type
(
env
)
...
...
@@ -2705,13 +2719,16 @@ class AttributeNode(ExprNode):
except
Exception
,
e
:
self
.
compile_time_value_error
(
e
)
def
type_dependencies
(
self
,
env
):
return
self
.
obj
.
type_dependencies
(
env
)
def
infer_type
(
self
,
env
):
if
self
.
analyse_as_cimported_attribute
(
env
,
0
):
return
self
.
entry
.
type
elif
self
.
analyse_as_unbound_cmethod
(
env
):
return
self
.
entry
.
type
else
:
self
.
analyse_attribute
(
env
)
self
.
analyse_attribute
(
env
,
obj_type
=
self
.
obj
.
infer_type
(
env
)
)
return
self
.
type
def
analyse_target_declaration
(
self
,
env
):
...
...
@@ -2816,13 +2833,17 @@ class AttributeNode(ExprNode):
self
.
is_temp
=
1
self
.
result_ctype
=
py_object_type
def
analyse_attribute
(
self
,
env
):
def
analyse_attribute
(
self
,
env
,
obj_type
=
None
):
# Look up attribute and set self.type and self.member.
self
.
is_py_attr
=
0
self
.
member
=
self
.
attribute
if
self
.
obj
.
type
.
is_string
:
self
.
obj
=
self
.
obj
.
coerce_to_pyobject
(
env
)
obj_type
=
self
.
obj
.
type
if
obj_type
is
None
:
if
self
.
obj
.
type
.
is_string
:
self
.
obj
=
self
.
obj
.
coerce_to_pyobject
(
env
)
obj_type
=
self
.
obj
.
type
else
:
if
obj_type
.
is_string
:
obj_type
=
py_object_type
if
obj_type
.
is_ptr
or
obj_type
.
is_array
:
obj_type
=
obj_type
.
base_type
self
.
op
=
"->"
...
...
@@ -2861,10 +2882,11 @@ class AttributeNode(ExprNode):
# type, or it is an extension type and the attribute is either not
# declared or is declared as a Python method. Treat it as a Python
# attribute reference.
self
.
analyse_as_python_attribute
(
env
)
self
.
analyse_as_python_attribute
(
env
,
obj_type
)
def
analyse_as_python_attribute
(
self
,
env
):
obj_type
=
self
.
obj
.
type
def
analyse_as_python_attribute
(
self
,
env
,
obj_type
=
None
):
if
obj_type
is
None
:
obj_type
=
self
.
obj
.
type
self
.
member
=
self
.
attribute
if
obj_type
.
is_pyobject
:
self
.
type
=
py_object_type
...
...
@@ -3017,6 +3039,7 @@ class StarredTargetNode(ExprNode):
subexprs
=
[
'target'
]
is_starred
=
1
type
=
py_object_type
is_temp
=
1
def
__init__
(
self
,
pos
,
target
):
self
.
pos
=
pos
...
...
@@ -3347,7 +3370,7 @@ class ListNode(SequenceNode):
gil_message
=
"Constructing Python list"
def
type_dependencies
(
self
):
def
type_dependencies
(
self
,
env
):
return
()
def
infer_type
(
self
,
env
):
...
...
@@ -3608,7 +3631,7 @@ class DictNode(ExprNode):
except
Exception
,
e
:
self
.
compile_time_value_error
(
e
)
def
type_dependencies
(
self
):
def
type_dependencies
(
self
,
env
):
return
()
def
infer_type
(
self
,
env
):
...
...
@@ -4064,10 +4087,10 @@ class TypecastNode(ExprNode):
subexprs
=
[
'operand'
]
base_type
=
declarator
=
type
=
None
def
type_dependencies
(
self
):
def
type_dependencies
(
self
,
env
):
return
()
def
infer_type
s
(
self
,
env
):
def
infer_type
(
self
,
env
):
if
self
.
type
is
None
:
base_type
=
self
.
base_type
.
analyse
(
env
)
_
,
self
.
type
=
self
.
declarator
.
analyse
(
base_type
,
env
)
...
...
@@ -4297,8 +4320,8 @@ class BinopNode(ExprNode):
def
infer_type
(
self
,
env
):
return
self
.
result_type
(
self
.
operand1
.
infer_type
(
env
),
self
.
operand
1
.
infer_type
(
env
))
self
.
operand
2
.
infer_type
(
env
))
def
analyse_types
(
self
,
env
):
self
.
operand1
.
analyse_types
(
env
)
self
.
operand2
.
analyse_types
(
env
)
...
...
@@ -4821,9 +4844,12 @@ class CondExprNode(ExprNode):
subexprs
=
[
'test'
,
'true_val'
,
'false_val'
]
def
type_dependencies
(
self
):
return
self
.
true_val
.
type_dependencies
(
)
+
self
.
false_val
.
type_dependencies
(
)
def
type_dependencies
(
self
,
env
):
return
self
.
true_val
.
type_dependencies
(
env
)
+
self
.
false_val
.
type_dependencies
(
env
)
def
infer_type
(
self
,
env
):
return
self
.
compute_result_type
(
self
.
true_val
.
infer_type
(
env
),
self
.
false_val
.
infer_type
(
env
))
def
infer_types
(
self
,
env
):
return
self
.
compute_result_type
(
self
.
true_val
.
infer_types
(
env
),
self
.
false_val
.
infer_types
(
env
))
...
...
@@ -5078,6 +5104,13 @@ class PrimaryCmpNode(ExprNode, CmpNode):
cascade
=
None
def
infer_type
(
self
,
env
):
# TODO: Actually implement this (after merging with -unstable).
return
py_object_type
def
type_dependencies
(
self
,
env
):
return
()
def
calculate_constant_result
(
self
):
self
.
constant_result
=
self
.
calculate_cascaded_constant_result
(
self
.
operand1
.
constant_result
)
...
...
@@ -5212,6 +5245,13 @@ class CascadedCmpNode(Node, CmpNode):
cascade
=
None
constant_result
=
constant_value_not_set
# FIXME: where to calculate this?
def
infer_type
(
self
,
env
):
# TODO: Actually implement this (after merging with -unstable).
return
py_object_type
def
type_dependencies
(
self
,
env
):
return
()
def
analyse_types
(
self
,
env
,
operand1
):
self
.
operand2
.
analyse_types
(
env
)
if
self
.
cascade
:
...
...
@@ -5435,11 +5475,10 @@ class CoerceToPyTypeNode(CoercionNode):
# to a Python object.
type
=
py_object_type
is_temp
=
1
def
__init__
(
self
,
arg
,
env
):
CoercionNode
.
__init__
(
self
,
arg
)
self
.
type
=
py_object_type
self
.
is_temp
=
1
if
not
arg
.
type
.
create_to_py_utility_code
(
env
):
error
(
arg
.
pos
,
"Cannot convert '%s' to Python object"
%
arg
.
type
)
...
...
@@ -5611,16 +5650,16 @@ class CloneNode(CoercionNode):
self
.
result_ctype
=
arg
.
result_ctype
if
hasattr
(
arg
,
'entry'
):
self
.
entry
=
arg
.
entry
def
result
(
self
):
return
self
.
arg
.
result
()
def
type_dependencies
(
self
):
return
self
.
arg
.
type_dependencies
()
def
type_dependencies
(
self
,
env
):
return
self
.
arg
.
type_dependencies
(
env
)
def
infer_type
(
self
,
env
):
return
self
.
arg
.
infer_type
(
env
)
def
analyse_types
(
self
,
env
):
self
.
type
=
self
.
arg
.
type
self
.
result_ctype
=
self
.
arg
.
result_ctype
...
...
Cython/Compiler/PyrexTypes.py
View file @
024a3d31
...
...
@@ -77,6 +77,7 @@ class PyrexType(BaseType):
#
is_pyobject
=
0
is_unspecified
=
0
is_extension_type
=
0
is_builtin_type
=
0
is_numeric
=
0
...
...
@@ -1591,6 +1592,8 @@ class CUCharPtrType(CStringType, CPtrType):
class
UnspecifiedType
(
PyrexType
):
# Used as a placeholder until the type can be determined.
is_unspecified
=
1
def
declaration_code
(
self
,
entity_code
,
for_display
=
0
,
dll_linkage
=
None
,
pyrex
=
0
):
...
...
@@ -1788,6 +1791,20 @@ def widest_numeric_type(type1, type2):
return
sign_and_rank_to_type
[
min
(
type1
.
signed
,
type2
.
signed
),
max
(
type1
.
rank
,
type2
.
rank
)]
return
widest_type
def
spanning_type
(
type1
,
type2
):
# Return a type assignable from both type1 and type2.
if
type1
==
type2
:
return
type1
elif
type1
.
is_numeric
and
type2
.
is_numeric
:
return
widest_numeric_type
(
type1
,
type2
)
elif
type1
.
assignable_from
(
type2
):
return
type1
elif
type2
.
assignable_from
(
type1
):
return
type2
else
:
return
py_object_type
def
simple_c_type
(
signed
,
longness
,
name
):
# Find type descriptor for simple type given name and modifiers.
# Returns None if arguments don't make sense.
...
...
Cython/Compiler/Symtab.py
View file @
024a3d31
...
...
@@ -173,6 +173,9 @@ class Entry(object):
self.pos = pos
self.init = init
self.assignments = []
def __repr__(self):
return "
Entry
(
name
=%
s
,
type
=%
s
)
" % (self.name, self.type)
def redeclared(self, pos):
error(pos, "'%s'
does
not
match
previous
declaration
" % self.name)
...
...
@@ -546,10 +549,8 @@ class Scope(object):
return 0
def infer_types(self):
for name, entry in self.entries.items():
if entry.type is unspecified_type:
entry.type = py_object_type
entry.init_to_none = Options.init_local_none # TODO: is there a better place for this?
from TypeInference import get_type_inferer
get_type_inferer().infer_types(self)
class PreImportScope(Scope):
...
...
@@ -1053,6 +1054,10 @@ class ModuleScope(Scope):
var_entry.is_cglobal = 1
var_entry.is_readonly = 1
entry.as_variable = var_entry
def infer_types(self):
from TypeInference import PyObjectTypeInferer
PyObjectTypeInferer().infer_types(self)
class LocalScope(Scope):
...
...
@@ -1084,7 +1089,7 @@ class LocalScope(Scope):
cname, visibility, is_cdef)
if type.is_pyobject and not Options.init_local_none:
entry.init = "0"
entry.init_to_none =
type.is_pyobject
and Options.init_local_none
entry.init_to_none =
(type.is_pyobject or type.is_unspecified)
and Options.init_local_none
entry.is_local = 1
self.var_entries.append(entry)
return entry
...
...
Cython/Compiler/TypeInference.py
View file @
024a3d31
import
ExprNodes
import
PyrexTypes
from
PyrexTypes
import
py_object_type
,
unspecified_type
,
spanning_type
from
Visitor
import
CythonTransform
try
:
set
except
NameError
:
# Python 2.3
from
sets
import
Set
as
set
class
TypedExprNode
(
ExprNodes
.
ExprNode
):
# Used for declaring assignments of a specified type whithout a known entry.
def
__init__
(
self
,
type
):
self
.
type
=
type
object_expr
=
TypedExprNode
(
PyrexTypes
.
py_object_type
)
object_expr
=
TypedExprNode
(
py_object_type
)
class
MarkAssignments
(
CythonTransform
):
...
...
@@ -42,15 +49,35 @@ class MarkAssignments(CythonTransform):
return
node
def
visit_ForInStatNode
(
self
,
node
):
# TODO: Figure out how this interacts with the range optimization...
self
.
mark_assignment
(
node
.
target
,
object_expr
)
# TODO: Remove redundancy with range optimization...
sequence
=
node
.
iterator
.
sequence
if
isinstance
(
sequence
,
ExprNodes
.
SimpleCallNode
):
function
=
sequence
.
function
if
sequence
.
self
is
None
and
\
isinstance
(
function
,
ExprNodes
.
NameNode
)
and
\
function
.
name
in
(
'range'
,
'xrange'
):
self
.
mark_assignment
(
node
.
target
,
sequence
.
args
[
0
])
if
len
(
sequence
.
args
)
>
1
:
self
.
mark_assignment
(
node
.
target
,
sequence
.
args
[
1
])
if
len
(
sequence
.
args
)
>
2
:
self
.
mark_assignment
(
node
.
target
,
ExprNodes
.
binop_node
(
node
.
pos
,
'+'
,
sequence
.
args
[
0
],
sequence
.
args
[
2
]))
else
:
self
.
mark_assignment
(
node
.
target
,
object_expr
)
self
.
visitchildren
(
node
)
return
node
def
visit_ForFromStatNode
(
self
,
node
):
self
.
mark_assignment
(
node
.
target
,
node
.
bound1
)
if
node
.
step
is
not
None
:
self
.
mark_assignment
(
node
.
target
,
ExprNodes
.
binop_node
(
node
.
pos
,
'+'
,
node
.
bound1
,
node
.
step
))
self
.
mark_assignment
(
node
.
target
,
ExprNodes
.
binop_node
(
node
.
pos
,
'+'
,
node
.
bound1
,
node
.
step
))
self
.
visitchildren
(
node
)
return
node
...
...
@@ -69,3 +96,79 @@ class MarkAssignments(CythonTransform):
self
.
mark_assignment
(
target
,
object_expr
)
self
.
visitchildren
(
node
)
return
node
class
PyObjectTypeInferer
:
"""
If it's not declared, it's a PyObject.
"""
def
infer_types
(
self
,
scope
):
"""
Given a dict of entries, map all unspecified types to a specified type.
"""
for
name
,
entry
in
scope
.
entries
.
items
():
if
entry
.
type
is
unspecified_type
:
entry
.
type
=
py_object_type
class
SimpleAssignmentTypeInferer
:
"""
Very basic type inference.
"""
# TODO: Implement a real type inference algorithm.
# (Something more powerful than just extending this one...)
def
infer_types
(
self
,
scope
):
dependancies_by_entry
=
{}
# entry -> dependancies
entries_by_dependancy
=
{}
# dependancy -> entries
ready_to_infer
=
[]
for
name
,
entry
in
scope
.
entries
.
items
():
if
entry
.
type
is
unspecified_type
:
all
=
set
()
for
expr
in
entry
.
assignments
:
all
.
update
(
expr
.
type_dependencies
(
scope
))
if
all
:
dependancies_by_entry
[
entry
]
=
all
for
dep
in
all
:
if
dep
not
in
entries_by_dependancy
:
entries_by_dependancy
[
dep
]
=
set
([
entry
])
else
:
entries_by_dependancy
[
dep
].
add
(
entry
)
else
:
ready_to_infer
.
append
(
entry
)
def
resolve_dependancy
(
dep
):
if
dep
in
entries_by_dependancy
:
for
entry
in
entries_by_dependancy
[
dep
]:
entry_deps
=
dependancies_by_entry
[
entry
]
entry_deps
.
remove
(
dep
)
if
not
entry_deps
and
entry
!=
dep
:
del
dependancies_by_entry
[
entry
]
ready_to_infer
.
append
(
entry
)
# Try to infer things in order...
while
ready_to_infer
:
while
ready_to_infer
:
entry
=
ready_to_infer
.
pop
()
types
=
[
expr
.
infer_type
(
scope
)
for
expr
in
entry
.
assignments
]
if
types
:
entry
.
type
=
reduce
(
spanning_type
,
types
)
else
:
print
"No assignments"
,
entry
.
pos
,
entry
entry
.
type
=
py_object_type
resolve_dependancy
(
entry
)
# Deal with simple circular dependancies...
for
entry
,
deps
in
dependancies_by_entry
.
items
():
if
len
(
deps
)
==
1
and
deps
==
set
([
entry
]):
types
=
[
expr
.
infer_type
(
scope
)
for
expr
in
entry
.
assignments
if
expr
.
type_dependencies
(
scope
)
==
()]
if
types
:
entry
.
type
=
reduce
(
spanning_type
,
types
)
types
=
[
expr
.
infer_type
(
scope
)
for
expr
in
entry
.
assignments
]
entry
.
type
=
reduce
(
spanning_type
,
types
)
# might be wider...
resolve_dependancy
(
entry
)
del
dependancies_by_entry
[
entry
]
if
ready_to_infer
:
break
# We can't figure out the rest with this algorithm, let them be objects.
for
entry
in
dependancies_by_entry
:
entry
.
type
=
py_object_type
def
get_type_inferer
():
return
SimpleAssignmentTypeInferer
()
Demos/primes.pyx
View file @
024a3d31
print
"starting"
def
primes
(
int
kmax
):
cdef
int
n
,
k
,
i
#
cdef int n, k, i
cdef
int
p
[
1000
]
result
=
[]
if
kmax
>
1000
:
...
...
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