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b924d8d8
Commit
b924d8d8
authored
Sep 27, 2011
by
Adam Chlipala
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Another Match exercise
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...
@@ -1096,12 +1096,45 @@ Ltac makeEvar T k := let x := fresh in
...
@@ -1096,12 +1096,45 @@ Ltac makeEvar T k := let x := fresh in
The
[
equate
]
tactic
used
as
an
example
in
this
chapter
will
probably
be
useful
,
to
unify
two
terms
,
for
instance
if
the
first
is
a
unification
variable
whose
value
you
want
to
set
.
The
[
equate
]
tactic
used
as
an
example
in
this
chapter
will
probably
be
useful
,
to
unify
two
terms
,
for
instance
if
the
first
is
a
unification
variable
whose
value
you
want
to
set
.
[[
[[
Ltac
equate
E1
E2
:=
let
H
:=
fresh
in
Ltac
equate
E1
E2
:=
let
H
:=
fresh
in
assert
(
H
:
E1
=
E2
)
by
reflexivity
;
clear
H
.
assert
(
H
:
E1
=
E2
)
by
reflexivity
;
clear
H
.
]]
]]
Finally
,
there
are
some
minor
complications
surrounding
overloading
of
the
[
*
]
operator
for
both
numeric
multiplication
and
Cartesian
product
for
sets
(
i
.
e
.,
pair
types
)
.
To
ensure
that
an
Ltac
pattern
is
using
the
type
version
,
write
it
like
this
:
Finally
,
there
are
some
minor
complications
surrounding
overloading
of
the
[
*
]
operator
for
both
numeric
multiplication
and
Cartesian
product
for
sets
(
i
.
e
.,
pair
types
)
.
To
ensure
that
an
Ltac
pattern
is
using
the
type
version
,
write
it
like
this
:
[
|
(
?
T1
*
?
T2
)
%
type
=>
...
]
[
|
(
?
T1
*
?
T2
)
%
type
=>
...
]#
</
li
>
#
%
\
item
%
#
<
li
>
#
An
exercise
in
the
last
chapter
dealt
with
automating
proofs
about
rings
using
[
eauto
]
,
where
we
must
prove
some
odd
-
looking
theorems
to
push
proof
search
in
a
direction
where
unification
does
all
the
work
.
Algebraic
proofs
consist
mostly
of
rewriting
in
equations
,
so
we
might
hope
that
the
[
autorewrite
]
tactic
would
yield
more
natural
automated
proofs
.
Indeed
,
consider
this
example
within
the
same
formulation
of
ring
theory
that
we
dealt
with
last
chapter
,
where
each
of
the
three
axioms
has
been
added
to
the
rewrite
hint
database
[
cpdt
]
using
[
Hint
Rewrite
]
:
[[
Theorem
test1
:
forall
a
b
,
a
*
b
*
i
b
=
a
.
intros
;
autorewrite
with
cpdt
;
reflexivity
.
Qed
.
]]
So
far
so
good
.
However
,
consider
this
further
example
:
[[
Theorem
test2
:
forall
a
,
a
*
e
*
i
a
*
i
e
=
e
.
intros
;
autorewrite
with
cpdt
.
]]
The
goal
is
merely
reduced
to
[
a
*
(
i
a
*
i
e
)
=
e
]
,
which
of
course
[
reflexivity
]
cannot
prove
.
The
essential
problem
is
that
[
autorewrite
]
does
not
do
backtracking
search
.
Instead
,
it
follows
a
%
``
%
#
"#greedy#"
#
%
''
%
approach
,
at
each
stage
choosing
a
rewrite
to
perform
and
then
never
allowing
that
rewrite
to
be
undone
.
An
early
mistake
can
doom
the
whole
process
.
The
task
in
this
problem
is
to
use
Ltac
to
implement
a
backtracking
version
of
[
autorewrite
]
that
works
much
like
[
eauto
]
,
in
that
its
inputs
are
a
database
of
hint
lemmas
and
a
bound
on
search
depth
.
Here
our
search
trees
will
have
uses
of
[
rewrite
]
at
their
nodes
,
rather
than
uses
of
[
eapply
]
as
in
the
case
of
[
eauto
]
,
and
proofs
must
be
finished
by
[
reflexivity
]
.
An
invocation
to
the
tactic
to
prove
[
test2
]
might
look
like
this
:
[[
rewriter
(
right_identity
,
(
right_inverse
,
tt
))
3.
]]
The
first
argument
gives
the
set
of
lemmas
to
consider
,
as
a
kind
of
list
encoded
with
pair
types
.
Such
a
format
cannot
be
analyzed
directly
by
Gallina
programs
,
but
Ltac
allows
us
much
more
freedom
to
deconstruct
syntax
.
For
example
,
to
case
analyze
such
a
list
found
in
a
variable
[
x
]
,
we
need
only
write
:
[[
match
x
with
|
(
?
lemma
,
?
more
)
=>
...
end
]]
In
the
body
of
the
case
analysis
,
[
lemma
]
will
be
bound
to
the
first
lemma
,
and
[
more
]
will
be
bound
to
the
remaining
lemmas
.
There
is
no
need
to
consider
a
case
for
[
tt
]
,
our
stand
-
in
for
[
nil
]
.
This
is
because
lack
of
any
matching
pattern
will
trigger
failure
,
which
is
exactly
the
outcome
we
would
like
upon
reaching
the
end
of
the
lemma
list
without
finding
one
that
applies
.
The
tactic
will
fail
,
triggering
backtracking
to
some
previous
[
match
]
.
There
are
different
kinds
of
backtracking
,
corresponding
to
different
sorts
of
decisions
to
be
made
.
The
examples
considered
above
can
be
handled
with
backtracking
that
only
reconsiders
decisions
about
the
order
in
which
to
apply
rewriting
lemmas
.
A
full
-
credit
solution
need
only
handle
that
kind
of
backtracking
,
considering
all
rewriting
sequences
up
to
the
length
bound
passed
to
your
tactic
.
A
good
test
of
this
level
of
applicability
is
to
prove
both
[
test1
]
and
[
test2
]
above
.
However
,
some
theorems
could
only
be
proved
using
a
smarter
tactic
that
considers
not
only
order
of
rewriting
lemma
uses
,
but
also
choice
of
arguments
to
the
lemmas
.
That
is
,
at
some
points
in
a
proof
,
the
same
lemma
may
apply
at
multiple
places
within
the
goal
formula
,
and
some
choices
may
lead
to
stuck
proof
states
while
others
lead
to
success
.
For
an
extra
challenge
(
without
any
impact
on
the
grade
for
the
problem
)
,
you
might
try
beefing
up
your
tactic
to
do
backtracking
on
argument
choice
,
too
.
#
</
li
>
#
#
</
ol
>
#
%
\
end
{
enumerate
}%
*
)
#
</
ol
>
#
%
\
end
{
enumerate
}%
*
)
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