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cpdt
Commits
85ed612e
Commit
85ed612e
authored
Oct 08, 2008
by
Adam Chlipala
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85ed612e
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...
@@ -344,6 +344,167 @@ User error: e1 is used in hypothesis e
Qed
.
(
**
Dependently
-
Typed
Red
-
Black
Trees
*
)
Inductive
color
:
Set
:=
Red
|
Black
.
Inductive
rbtree
:
color
->
nat
->
Set
:=
|
Leaf
:
rbtree
Black
0
|
RedNode
:
forall
n
,
rbtree
Black
n
->
nat
->
rbtree
Black
n
->
rbtree
Red
n
|
BlackNode
:
forall
c1
c2
n
,
rbtree
c1
n
->
nat
->
rbtree
c2
n
->
rbtree
Black
(
S
n
)
.
Inductive
rtree
:
nat
->
Set
:=
|
RedNode
'
:
forall
c1
c2
n
,
rbtree
c1
n
->
nat
->
rbtree
c2
n
->
rtree
n
.
Notation
"{< x >}"
:=
(
existT
_
_
x
)
.
Definition
balance1
n
(
a
:
rtree
n
)
(
data
:
nat
)
c2
:=
match
a
in
rtree
n
return
rbtree
c2
n
->
{
c
:
color
&
rbtree
c
(
S
n
)
}
with
|
RedNode
'
_
_
_
t1
y
t2
=>
match
t1
in
rbtree
c
n
return
rbtree
_
n
->
rbtree
c2
n
->
{
c
:
color
&
rbtree
c
(
S
n
)
}
with
|
RedNode
_
a
x
b
=>
fun
c
d
=>
{<
RedNode
(
BlackNode
a
x
b
)
y
(
BlackNode
c
data
d
)
>}
|
t1
'
=>
fun
t2
=>
match
t2
in
rbtree
c
n
return
rbtree
_
n
->
rbtree
c2
n
->
{
c
:
color
&
rbtree
c
(
S
n
)
}
with
|
RedNode
_
b
x
c
=>
fun
a
d
=>
{<
RedNode
(
BlackNode
a
y
b
)
x
(
BlackNode
c
data
d
)
>}
|
b
=>
fun
a
t
=>
{<
BlackNode
a
data
b
>}
end
t1
'
end
t2
end
.
Definition
balance2
n
(
a
:
rtree
n
)
(
data
:
nat
)
c2
:=
match
a
in
rtree
n
return
rbtree
c2
n
->
{
c
:
color
&
rbtree
c
(
S
n
)
}
with
|
RedNode
'
_
_
_
t1
z
t2
=>
match
t1
in
rbtree
c
n
return
rbtree
_
n
->
rbtree
c2
n
->
{
c
:
color
&
rbtree
c
(
S
n
)
}
with
|
RedNode
_
b
y
c
=>
fun
d
a
=>
{<
RedNode
(
BlackNode
a
data
b
)
y
(
BlackNode
c
z
d
)
>}
|
t1
'
=>
fun
t2
=>
match
t2
in
rbtree
c
n
return
rbtree
_
n
->
rbtree
c2
n
->
{
c
:
color
&
rbtree
c
(
S
n
)
}
with
|
RedNode
_
c
z
'
d
=>
fun
b
a
=>
{<
RedNode
(
BlackNode
a
data
b
)
z
(
BlackNode
c
z
'
d
)
>}
|
b
=>
fun
t
a
=>
{<
BlackNode
a
data
b
>}
end
t1
'
end
t2
end
.
Section
insert
.
Variable
x
:
nat
.
Definition
insResult
c
n
:=
match
c
with
|
Red
=>
rtree
n
|
Black
=>
{
c
'
:
color
&
rbtree
c
'
n
}
end
.
Fixpoint
ins
c
n
(
t
:
rbtree
c
n
)
{
struct
t
}
:
insResult
c
n
:=
match
t
in
(
rbtree
c
n
)
return
(
insResult
c
n
)
with
|
Leaf
=>
{<
RedNode
Leaf
x
Leaf
>}
|
RedNode
_
a
y
b
=>
if
le_lt_dec
x
y
then
RedNode
'
(
projT2
(
ins
a
))
y
b
else
RedNode
'
a
y
(
projT2
(
ins
b
))
|
BlackNode
c1
c2
_
a
y
b
=>
if
le_lt_dec
x
y
then
match
c1
return
insResult
c1
_
->
_
with
|
Red
=>
fun
ins_a
=>
balance1
ins_a
y
b
|
_
=>
fun
ins_a
=>
{<
BlackNode
(
projT2
ins_a
)
y
b
>}
end
(
ins
a
)
else
match
c2
return
insResult
c2
_
->
_
with
|
Red
=>
fun
ins_b
=>
balance2
ins_b
y
a
|
_
=>
fun
ins_b
=>
{<
BlackNode
a
y
(
projT2
ins_b
)
>}
end
(
ins
b
)
end
.
Definition
insertResult
c
n
:=
match
c
with
|
Red
=>
rbtree
Black
(
S
n
)
|
Black
=>
{
c
'
:
color
&
rbtree
c
'
n
}
end
.
Definition
makeBlack
c
n
:
insResult
c
n
->
insertResult
c
n
:=
match
c
return
insResult
c
n
->
insertResult
c
n
with
|
Red
=>
fun
r
=>
match
r
in
rtree
n
return
insertResult
Red
n
with
|
RedNode
'
_
_
_
a
x
b
=>
BlackNode
a
x
b
end
|
Black
=>
fun
r
=>
r
end
.
Implicit
Arguments
makeBlack
[
c
n
]
.
Definition
insert
c
n
(
t
:
rbtree
c
n
)
:
insertResult
c
n
:=
makeBlack
(
ins
t
)
.
Fixpoint
present
c
n
(
t
:
rbtree
c
n
)
{
struct
t
}
:
bool
:=
match
t
with
|
Leaf
=>
false
|
RedNode
_
a
y
b
=>
if
eq_nat_dec
x
y
then
true
else
if
le_lt_dec
x
y
then
present
a
else
present
b
|
BlackNode
_
_
_
a
y
b
=>
if
eq_nat_dec
x
y
then
true
else
if
le_lt_dec
x
y
then
present
a
else
present
b
end
.
Definition
rpresent
n
(
t
:
rtree
n
)
:
bool
:=
match
t
with
|
RedNode
'
_
_
_
a
y
b
=>
if
eq_nat_dec
x
y
then
true
else
if
le_lt_dec
x
y
then
present
a
else
present
b
end
.
End
insert
.
Require
Import
Max
Min
.
Section
depth
.
Variable
f
:
nat
->
nat
->
nat
.
Fixpoint
depth
c
n
(
t
:
rbtree
c
n
)
{
struct
t
}
:
nat
:=
match
t
with
|
Leaf
=>
0
|
RedNode
_
t1
_
t2
=>
S
(
f
(
depth
t1
)
(
depth
t2
))
|
BlackNode
_
_
_
t1
_
t2
=>
S
(
f
(
depth
t1
)
(
depth
t2
))
end
.
End
depth
.
Theorem
depth_min
:
forall
c
n
(
t
:
rbtree
c
n
)
,
depth
min
t
>=
n
.
induction
t
;
crush
;
match
goal
with
|
[
|-
context
[
min
?
X
?
Y
]
]
=>
destruct
(
min_dec
X
Y
)
end
;
crush
.
Qed
.
Lemma
depth_max
'
:
forall
c
n
(
t
:
rbtree
c
n
)
,
match
c
with
|
Red
=>
depth
max
t
<=
2
*
n
+
1
|
Black
=>
depth
max
t
<=
2
*
n
end
.
induction
t
;
crush
;
match
goal
with
|
[
|-
context
[
max
?
X
?
Y
]
]
=>
destruct
(
max_dec
X
Y
)
end
;
crush
.
destruct
c1
;
crush
.
destruct
c2
;
crush
.
Qed
.
Theorem
depth_max
:
forall
c
n
(
t
:
rbtree
c
n
)
,
depth
max
t
<=
2
*
n
+
1.
intros
;
generalize
(
depth_max
'
t
)
;
destruct
c
;
crush
.
Qed
.
Theorem
balanced
:
forall
c
n
(
t
:
rbtree
c
n
)
,
2
*
depth
min
t
+
1
>=
depth
max
t
.
intros
;
generalize
(
depth_min
t
)
;
generalize
(
depth_max
t
)
;
crush
.
Qed
.
(
**
*
A
Certified
Regular
Expression
Matcher
*
)
(
**
Another
interesting
example
is
regular
expressions
with
dependent
types
that
express
which
predicates
over
strings
particular
regexps
implement
.
We
can
then
assign
a
dependent
type
to
a
regular
expression
matching
function
,
guaranteeing
that
it
always
decides
the
string
property
that
we
expect
it
to
decide
.
...
...
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