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testgroup
pytensor
Commits
d1df6bb3
提交
d1df6bb3
authored
5月 22, 2008
作者:
Olivier Breuleux
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差异文件
pulled formula.py
上级
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1 个修改的文件
包含
0 行增加
和
237 行删除
+0
-237
formula.py
formula.py
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没有找到文件。
formula.py
deleted
100644 → 0
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b4eae7ce
import
gof
import
pprint
from
gof
import
utils
from
copy
import
copy
import
re
class
Formula
(
utils
.
object2
):
def
__init__
(
self
,
symtable_d
=
{},
**
symtable_kwargs
):
vars
=
dict
(
symtable_d
,
**
symtable_kwargs
)
self
.
__dict__
[
'__vars__'
]
=
vars
self
.
inputs
=
[]
self
.
outputs
=
[]
for
symbol
,
var
in
vars
.
iteritems
():
if
not
isinstance
(
var
,
gof
.
Result
):
raise
TypeError
(
"All variables must be Result instances."
,
{
symbol
:
var
})
var
.
name
=
symbol
if
var
.
owner
is
None
:
self
.
inputs
.
append
(
var
)
else
:
self
.
outputs
.
append
(
var
)
for
unmentioned
in
set
(
gof
.
graph
.
inputs
(
self
.
outputs
))
.
difference
(
self
.
inputs
):
if
not
isinstance
(
unmentioned
,
gof
.
Value
):
raise
Exception
(
"unmentioned input var:
%
s (please specify all the variables involved in the formula except constants)"
%
unmentioned
)
#################
### VARIABLES ###
#################
input_names
=
property
(
lambda
self
:
[
r
.
name
for
r
in
self
.
inputs
])
output_names
=
property
(
lambda
self
:
[
r
.
name
for
r
in
self
.
outputs
])
def
has_var
(
self
,
symbol
):
return
symbol
in
self
.
__dict__
[
'__vars__'
]
def
get
(
self
,
symbol
):
try
:
return
self
.
__dict__
[
'__vars__'
][
symbol
]
except
KeyError
:
raise
AttributeError
(
"unknown var:
%
s"
%
symbol
)
def
get_all
(
self
,
regex
):
regex
=
re
.
compile
(
"^
%
s$"
%
regex
)
return
[
r
for
r
in
self
.
__vars__
.
values
()
if
regex
.
match
(
r
.
name
)]
def
__getattr__
(
self
,
attr
):
if
self
.
has_var
(
attr
):
return
self
.
get
(
attr
)
try
:
return
self
.
__dict__
[
attr
]
except
KeyError
:
raise
AttributeError
(
"no such attribute:
%
s"
%
attr
)
def
__setattr__
(
self
,
attr
,
value
):
if
self
.
has_var
(
attr
):
raise
AttributeError
(
"a Formula's variables are read-only (tried to set '
%
s')"
%
attr
)
self
.
__dict__
[
attr
]
=
value
################
### RENAMING ###
################
def
__rename__
(
self
,
**
symequiv
):
vars
=
dict
(
self
.
__vars__
)
for
symbol
,
replacement
in
symequiv
.
iteritems
():
if
replacement
is
not
None
:
vars
[
replacement
]
=
self
.
get
(
symbol
)
for
symbol
in
set
(
symequiv
.
keys
())
.
difference
(
set
(
symequiv
.
values
())):
del
vars
[
symbol
]
return
Formula
(
vars
)
def
rename
(
self
,
**
symequiv
):
new_inputs
=
map
(
copy
,
self
.
inputs
)
return
self
.
assign
(
**
dict
(
zip
([
r
.
name
for
r
in
new_inputs
],
new_inputs
)))
.
__rename__
(
**
symequiv
)
def
rename_regex
(
self
,
rules
,
reuse_results
=
False
):
symequiv
=
{}
for
name
in
self
.
__vars__
.
keys
():
for
rule
,
repl
in
rules
.
items
():
rule
=
"^
%
s$"
%
rule
match
=
re
.
match
(
rule
,
name
)
if
match
:
if
callable
(
repl
):
symequiv
[
name
]
=
repl
(
*
match
.
groups
())
else
:
symequiv
[
name
]
=
re
.
sub
(
rule
,
repl
,
name
)
if
reuse_results
:
return
self
.
__rename__
(
**
symequiv
)
else
:
return
self
.
rename
(
**
symequiv
)
def
normalize
(
self
,
reuse_results
=
False
):
return
self
.
increment
(
0
,
reuse_results
)
def
increment
(
self
,
n
,
reuse_results
=
False
):
def
convert
(
name
,
prev_n
):
if
prev_n
==
""
:
return
"
%
s
%
i"
%
(
name
,
1
+
n
)
else
:
return
"
%
s
%
i"
%
(
name
,
int
(
prev_n
)
+
n
)
return
self
.
rename_regex
({
"(.*?)([0-9]*)"
:
convert
},
reuse_results
)
def
prefix
(
self
,
prefix
,
reuse_results
=
False
):
return
self
.
rename_regex
({
"(.*)"
:
(
"
%
s
\\
1"
%
prefix
)},
reuse_results
)
def
suffix
(
self
,
suffix
,
push_numbers
=
False
,
reuse_results
=
False
):
if
push_numbers
:
return
self
.
rename_regex
({
"(.*?)([0-9]*)"
:
(
"
\\
1
%
s
\\
2"
%
suffix
)},
reuse_results
)
else
:
return
self
.
rename_regex
({
"(.*)"
:
(
"
\\
1
%
s"
%
suffix
)},
reuse_results
)
##################
### ASSIGNMENT ###
##################
def
assign
(
self
,
**
assignment
):
try
:
inputs
=
[
assignment
.
pop
(
name
)
for
name
in
self
.
input_names
]
except
KeyError
,
e
:
raise
KeyError
(
"missing input: '
%
s'"
%
name
)
if
assignment
:
raise
KeyError
(
"unknown inputs:
%
s"
%
assignment
)
inputs
,
outputs
=
gof
.
graph
.
clone_with_equiv
(
self
.
inputs
,
self
.
outputs
,
dict
(
zip
(
self
.
inputs
,
inputs
)))
#inputs, outputs = gof.graph.clone_with_new_inputs(self.inputs, self.outputs, inputs)
return
Formula
(
zip
(
self
.
input_names
,
inputs
)
+
zip
(
self
.
output_names
,
outputs
))
def
reassign
(
self
,
**
assignment
):
d
=
dict
(
zip
(
self
.
input_names
,
self
.
inputs
))
d
.
update
(
assignment
)
return
self
.
assign
(
**
d
)
def
clone
(
self
):
return
self
.
assign
(
**
dict
(
zip
(
self
.
input_names
,
map
(
copy
,
self
.
inputs
))))
def
glue
(
self
,
*
formulas
):
return
glue
(
self
,
*
formulas
)
def
__str__
(
self
):
strings
=
[
"inputs: "
+
", "
.
join
(
self
.
input_names
)]
for
node
in
gof
.
graph
.
io_toposort
(
self
.
inputs
,
self
.
outputs
):
for
output
in
node
.
outputs
:
if
output
in
self
.
outputs
:
strings
.
append
(
"
%
s =
%
s"
%
(
output
,
pprint
.
pp
.
clone_assign
(
lambda
pstate
,
r
:
r
.
name
in
self
.
__vars__
and
r
is
not
output
,
pprint
.
LeafPrinter
())
.
process
(
output
)))
return
"
\n
"
.
join
(
strings
)
#################
### OPERATORS ###
#################
def
__add__
(
self
,
other
):
if
isinstance
(
other
,
int
):
return
self
.
increment
(
other
)
elif
isinstance
(
other
,
str
):
return
self
.
suffix
(
other
)
return
self
.
glue
(
other
)
def
__radd__
(
self
,
other
):
if
isinstance
(
other
,
int
):
return
self
.
increment
(
other
)
elif
isinstance
(
other
,
str
):
return
self
.
prefix
(
other
)
return
self
.
glue
(
other
)
def
__mul__
(
self
,
n
):
if
not
isinstance
(
n
,
int
):
raise
TypeError
(
"n must be an integer"
)
return
glue
(
*
map
(
self
.
increment
,
range
(
0
,
n
)))
def
glue2
(
f1
,
f2
):
f1_new
=
dict
(
zip
(
f1
.
inputs
,
f1
.
inputs
))
f2_new
=
dict
(
zip
(
f2
.
inputs
,
f2
.
inputs
))
for
r1
in
f1
.
inputs
:
name
=
r1
.
name
if
f2
.
has_var
(
name
):
r2
=
f2
.
get
(
name
)
#if not r1.type == r2.type:
# raise TypeError("inconsistent typing for %s: %s, %s" % (name, r1.type, r2.type))
if
name
in
f2
.
input_names
:
f2_new
[
r2
]
=
r1
elif
name
in
f2
.
output_names
:
f1_new
[
r1
]
=
r2
for
r1
in
f1
.
outputs
:
name
=
r1
.
name
if
f2
.
has_var
(
name
):
r2
=
f2
.
get
(
name
)
#if not r1.type == r2.type:
# raise TypeError("inconsistent typing for %s: %s, %s" % (name, r1.type, r2.type))
if
name
in
f2
.
input_names
:
f2_new
[
r2
]
=
r1
elif
name
in
f2
.
output_names
:
raise
Exception
(
"It is not allowed for a variable to be the output of two different formulas:
%
s"
%
name
)
g
=
gof
.
graph
i1
,
o1
=
g
.
clone_with_equiv
(
f1
.
inputs
,
f1
.
outputs
,
f1_new
)
i2
,
o2
=
g
.
clone_with_equiv
(
f2
.
inputs
,
f2
.
outputs
,
f2_new
)
#list(set(f2.inputs + g.inputs(o1)))
vars
=
{}
vars
.
update
(
zip
(
f1
.
input_names
,
i1
))
vars
.
update
(
zip
(
f1
.
output_names
,
o1
))
vars
.
update
(
zip
(
f2
.
input_names
,
i2
))
vars
.
update
(
zip
(
f2
.
output_names
,
o2
))
try
:
return
Formula
(
vars
)
except
Exception
,
e
:
e
.
args
=
e
.
args
+
(
"Circular dependencies might have caused this error."
,
)
raise
def
glue
(
*
formulas
):
return
reduce
(
glue2
,
formulas
)
class
FormulasMetaclass
(
type
):
def
__init__
(
cls
,
name
,
bases
,
dct
):
variables
=
{}
for
name
,
var
in
dct
.
items
():
if
isinstance
(
var
,
gof
.
Result
):
variables
[
name
]
=
var
cls
.
__variables__
=
variables
cls
.
__canon__
=
Formula
(
cls
.
__variables__
)
class
Formulas
(
utils
.
object2
):
__metaclass__
=
FormulasMetaclass
def
__new__
(
cls
):
return
cls
.
__canon__
.
clone
()
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