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bf28ba41
Commit
bf28ba41
authored
Jun 08, 2012
by
Adam Chlipala
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Typesetting pass over Large
parent
571f4991
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+14
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src/Large.v
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bf28ba41
...
@@ -103,7 +103,7 @@ Theorem eval_times : forall k e,
...
@@ -103,7 +103,7 @@ Theorem eval_times : forall k e,
trivial
.
trivial
.
Qed
.
Qed
.
(
**
We
pass
%
\
index
{
tactics
!
induction
}%
[
induction
]
an
%
\
index
{
intro
pattern
}%
_
intro
pattern_
,
using
a
[
|
]
character
to
separate
out
instructions
for
the
different
inductive
cases
.
Within
a
case
,
we
write
[
?
]
to
ask
Coq
to
generate
a
name
automatically
,
and
we
write
an
explicit
name
to
assign
that
name
to
the
corresponding
new
variable
.
It
is
apparent
that
,
to
use
intro
patterns
to
avoid
proof
brittleness
,
one
needs
to
keep
track
of
the
seemingly
unimportant
facts
of
the
orders
in
which
variables
are
introduced
.
Thus
,
the
script
keeps
working
if
we
replace
[
e
]
by
[
x
]
,
but
it
has
become
more
cluttered
.
Arguably
,
neither
proof
is
particularly
easy
to
follow
.
(
**
We
pass
%
\
index
{
tactics
!
induction
}%
[
induction
]
an
%
\
index
{
intro
pattern
}%
_
intro
pattern_
,
using
a
[
|
]
character
to
separate
out
instructions
for
the
different
inductive
cases
.
Within
a
case
,
we
write
[
?
]
to
ask
Coq
to
generate
a
name
automatically
,
and
we
write
an
explicit
name
to
assign
that
name
to
the
corresponding
new
variable
.
It
is
apparent
that
,
to
use
intro
patterns
to
avoid
proof
brittleness
,
one
needs
to
keep
track
of
the
seemingly
unimportant
facts
of
the
orders
in
which
variables
are
introduced
.
Thus
,
the
script
keeps
working
if
we
replace
[
e
]
by
[
x
]
,
but
it
has
become
more
cluttered
.
Arguably
,
neither
proof
is
particularly
easy
to
follow
.
That
category
of
complaint
has
to
do
with
understanding
proofs
as
static
artifacts
.
As
with
programming
in
general
,
with
serious
projects
,
it
tends
to
be
much
more
important
to
be
able
to
support
evolution
of
proofs
as
specifications
change
.
Unstructured
proofs
like
the
above
examples
can
be
very
hard
to
update
in
concert
with
theorem
statements
.
For
instance
,
consider
how
the
last
proof
script
plays
out
when
we
modify
[
times
]
to
introduce
a
bug
.
*
)
That
category
of
complaint
has
to
do
with
understanding
proofs
as
static
artifacts
.
As
with
programming
in
general
,
with
serious
projects
,
it
tends
to
be
much
more
important
to
be
able
to
support
evolution
of
proofs
as
specifications
change
.
Unstructured
proofs
like
the
above
examples
can
be
very
hard
to
update
in
concert
with
theorem
statements
.
For
instance
,
consider
how
the
last
proof
script
plays
out
when
we
modify
[
times
]
to
introduce
a
bug
.
*
)
...
@@ -247,7 +247,7 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
...
@@ -247,7 +247,7 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
(
*
begin
thide
*
)
(
*
begin
thide
*
)
induction
e
;
crush
;
induction
e
;
crush
;
match
goal
with
match
goal
with
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
Plus
_
_
=>
_
|
Mult
_
_
=>
_
end
]
]
=>
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
_
=>
_
end
]
]
=>
destruct
E
;
crush
destruct
E
;
crush
end
.
end
.
...
@@ -275,7 +275,7 @@ Hint Resolve rewr.
...
@@ -275,7 +275,7 @@ Hint Resolve rewr.
Theorem
reassoc_correct
:
forall
e
,
eval
(
reassoc
e
)
=
eval
e
.
Theorem
reassoc_correct
:
forall
e
,
eval
(
reassoc
e
)
=
eval
e
.
induction
e
;
crush
;
induction
e
;
crush
;
match
goal
with
match
goal
with
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
Plus
_
_
=>
_
|
Mult
_
_
=>
_
end
]
]
=>
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
_
=>
_
end
]
]
=>
destruct
E
;
crush
destruct
E
;
crush
end
.
end
.
Qed
.
Qed
.
...
@@ -285,7 +285,7 @@ Qed.
...
@@ -285,7 +285,7 @@ Qed.
The
more
common
situation
is
that
a
large
induction
has
several
easy
cases
that
automation
makes
short
work
of
.
In
the
remaining
cases
,
automation
performs
some
standard
simplification
.
Among
these
cases
,
some
may
require
quite
involved
proofs
;
such
a
case
may
deserve
a
hint
lemma
of
its
own
,
where
the
lemma
statement
may
copy
the
simplified
version
of
the
case
.
Alternatively
,
the
proof
script
for
the
main
theorem
may
be
extended
with
some
automation
code
targeted
at
the
specific
case
.
Even
such
targeted
scripting
is
more
desirable
than
manual
proving
,
because
it
may
be
read
and
understood
without
knowledge
of
a
proof
'
s
hierarchical
structure
,
case
ordering
,
or
name
binding
structure
.
The
more
common
situation
is
that
a
large
induction
has
several
easy
cases
that
automation
makes
short
work
of
.
In
the
remaining
cases
,
automation
performs
some
standard
simplification
.
Among
these
cases
,
some
may
require
quite
involved
proofs
;
such
a
case
may
deserve
a
hint
lemma
of
its
own
,
where
the
lemma
statement
may
copy
the
simplified
version
of
the
case
.
Alternatively
,
the
proof
script
for
the
main
theorem
may
be
extended
with
some
automation
code
targeted
at
the
specific
case
.
Even
such
targeted
scripting
is
more
desirable
than
manual
proving
,
because
it
may
be
read
and
understood
without
knowledge
of
a
proof
'
s
hierarchical
structure
,
case
ordering
,
or
name
binding
structure
.
A
competing
alternative
to
the
common
style
of
Coq
tactics
is
the
%
\
index
{
declarative
proof
scripts
}%
_
declarative_
style
,
most
frequently
associated
today
with
the
%
\
index
{
Isar
}%
Isar
%~
\
cite
{
Isar
}%
language
.
A
declarative
proof
script
is
very
explicit
about
subgoal
structure
and
introduction
of
local
names
,
aiming
for
human
readability
.
The
coding
of
proof
automation
is
taken
to
be
outside
the
scope
of
the
proof
language
,
an
assumption
related
to
the
idea
that
it
is
not
worth
building
new
automation
for
each
serious
theorem
.
I
have
shown
in
this
book
many
examples
of
theorem
-
specific
automation
,
which
I
believe
is
crucial
for
scaling
to
significant
results
.
Declarative
proof
scripts
make
it
easier
to
read
scripts
to
modify
them
for
theorem
statement
changes
,
but
the
alternate
%
\
index
{
adaptive
proof
scripts
}%
_
adaptive_
style
from
this
book
allows
use
of
the
_
same_
scripts
for
many
versions
of
a
theorem
.
A
competing
alternative
to
the
common
style
of
Coq
tactics
is
the
%
\
index
{
declarative
proof
scripts
}%
_
declarative_
style
,
most
frequently
associated
today
with
the
%
\
index
{
Isar
}%
Isar
%~
\
cite
{
Isar
}%
language
.
A
declarative
proof
script
is
very
explicit
about
subgoal
structure
and
introduction
of
local
names
,
aiming
for
human
readability
.
The
coding
of
proof
automation
is
taken
to
be
outside
the
scope
of
the
proof
language
,
an
assumption
related
to
the
idea
that
it
is
not
worth
building
new
automation
for
each
serious
theorem
.
I
have
shown
in
this
book
many
examples
of
theorem
-
specific
automation
,
which
I
believe
is
crucial
for
scaling
to
significant
results
.
Declarative
proof
scripts
make
it
easier
to
read
scripts
to
modify
them
for
theorem
statement
changes
,
but
the
alternate
%
\
index
{
adaptive
proof
scripts
}%
_
adaptive_
style
from
this
book
allows
use
of
the
_
same_
scripts
for
many
versions
of
a
theorem
.
Perhaps
I
am
a
pessimist
for
thinking
that
fully
formal
proofs
will
inevitably
consist
of
details
that
are
uninteresting
to
people
,
but
it
is
my
preference
to
focus
on
conveying
proof
-
specific
details
through
choice
of
lemmas
.
Additionally
,
adaptive
Ltac
scripts
contain
bits
of
automation
that
can
be
understood
in
isolation
.
For
instance
,
in
a
big
[
repeat
match
]
loop
,
each
case
can
generally
be
digested
separately
,
which
is
a
big
contrast
from
trying
to
understand
the
hierarchical
structure
of
a
script
in
a
more
common
style
.
Adaptive
scripts
rely
on
variable
binding
,
but
generally
only
over
very
small
scopes
,
whereas
understanding
a
traditional
script
requires
tracking
the
identities
of
local
variables
potentially
across
pages
of
code
.
Perhaps
I
am
a
pessimist
for
thinking
that
fully
formal
proofs
will
inevitably
consist
of
details
that
are
uninteresting
to
people
,
but
it
is
my
preference
to
focus
on
conveying
proof
-
specific
details
through
choice
of
lemmas
.
Additionally
,
adaptive
Ltac
scripts
contain
bits
of
automation
that
can
be
understood
in
isolation
.
For
instance
,
in
a
big
[
repeat
match
]
loop
,
each
case
can
generally
be
digested
separately
,
which
is
a
big
contrast
from
trying
to
understand
the
hierarchical
structure
of
a
script
in
a
more
common
style
.
Adaptive
scripts
rely
on
variable
binding
,
but
generally
only
over
very
small
scopes
,
whereas
understanding
a
traditional
script
requires
tracking
the
identities
of
local
variables
potentially
across
pages
of
code
.
...
@@ -336,10 +336,7 @@ Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
...
@@ -336,10 +336,7 @@ Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
Ltac
t
:=
Ltac
t
:=
repeat
(
match
goal
with
repeat
(
match
goal
with
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
Plus
_
_
=>
_
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
_
=>
_
end
]
]
=>
|
Eq
_
_
=>
_
|
BConst
_
=>
_
|
And
_
_
=>
_
|
If
_
_
_
_
=>
_
|
Pair
_
_
_
_
=>
_
|
Fst
_
_
_
=>
_
|
Snd
_
_
_
=>
_
end
]
]
=>
dep_destruct
E
dep_destruct
E
end
;
crush
)
.
end
;
crush
)
.
...
@@ -364,10 +361,7 @@ Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
...
@@ -364,10 +361,7 @@ Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
Ltac
t
'
:=
Ltac
t
'
:=
repeat
(
match
goal
with
repeat
(
match
goal
with
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
Plus
_
_
=>
_
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
_
=>
_
end
]
]
=>
|
Eq
_
_
=>
_
|
BConst
_
=>
_
|
And
_
_
=>
_
|
If
_
_
_
_
=>
_
|
Pair
_
_
_
_
=>
_
|
Fst
_
_
_
=>
_
|
Snd
_
_
_
=>
_
end
]
]
=>
dep_destruct
E
dep_destruct
E
|
[
|-
(
if
?
E
then
_
else
_
)
=
_
]
=>
destruct
E
|
[
|-
(
if
?
E
then
_
else
_
)
=
_
]
=>
destruct
E
end
;
crush
)
.
end
;
crush
)
.
...
@@ -382,10 +376,7 @@ Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
...
@@ -382,10 +376,7 @@ Theorem cfold_correct : forall t (e : exp t), expDenote e = expDenote (cfold e).
Ltac
t
''
:=
Ltac
t
''
:=
repeat
(
match
goal
with
repeat
(
match
goal
with
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
Plus
_
_
=>
_
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
_
=>
_
end
]
]
=>
|
Eq
_
_
=>
_
|
BConst
_
=>
_
|
And
_
_
=>
_
|
If
_
_
_
_
=>
_
|
Pair
_
_
_
_
=>
_
|
Fst
_
_
_
=>
_
|
Snd
_
_
_
=>
_
end
]
]
=>
dep_destruct
E
dep_destruct
E
|
[
|-
(
if
?
E
then
_
else
_
)
=
_
]
=>
destruct
E
|
[
|-
(
if
?
E
then
_
else
_
)
=
_
]
=>
destruct
E
|
[
|-
context
[
match
pairOut
?
E
with
Some
_
=>
_
|
[
|-
context
[
match
pairOut
?
E
with
Some
_
=>
_
...
@@ -405,10 +396,7 @@ Reset t.
...
@@ -405,10 +396,7 @@ Reset t.
Theorem
cfold_correct
:
forall
t
(
e
:
exp
t
)
,
expDenote
e
=
expDenote
(
cfold
e
)
.
Theorem
cfold_correct
:
forall
t
(
e
:
exp
t
)
,
expDenote
e
=
expDenote
(
cfold
e
)
.
induction
e
;
crush
;
induction
e
;
crush
;
repeat
(
match
goal
with
repeat
(
match
goal
with
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
Plus
_
_
=>
_
|
[
|-
context
[
match
?
E
with
NConst
_
=>
_
|
_
=>
_
end
]
]
=>
|
Eq
_
_
=>
_
|
BConst
_
=>
_
|
And
_
_
=>
_
|
If
_
_
_
_
=>
_
|
Pair
_
_
_
_
=>
_
|
Fst
_
_
_
=>
_
|
Snd
_
_
_
=>
_
end
]
]
=>
dep_destruct
E
dep_destruct
E
|
[
|-
(
if
?
E
then
_
else
_
)
=
_
]
=>
destruct
E
|
[
|-
(
if
?
E
then
_
else
_
)
=
_
]
=>
destruct
E
|
[
|-
context
[
match
pairOut
?
E
with
Some
_
=>
_
|
[
|-
context
[
match
pairOut
?
E
with
Some
_
=>
_
...
@@ -435,7 +423,7 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
...
@@ -435,7 +423,7 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
(
*
begin
thide
*
)
(
*
begin
thide
*
)
induction
e
;
crush
;
induction
e
;
crush
;
match
goal
with
match
goal
with
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
Plus
_
_
=>
_
|
Mult
_
_
=>
_
end
]
]
=>
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
_
=>
_
end
]
]
=>
destruct
E
;
crush
destruct
E
;
crush
end
.
end
.
...
@@ -451,8 +439,7 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
...
@@ -451,8 +439,7 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
Restart
.
Restart
.
Ltac
t
:=
crush
;
match
goal
with
Ltac
t
:=
crush
;
match
goal
with
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
Plus
_
_
=>
_
|
[
|-
context
[
match
?
E
with
Const
_
=>
_
|
_
=>
_
end
]
]
=>
|
Mult
_
_
=>
_
end
]
]
=>
destruct
E
;
crush
destruct
E
;
crush
end
.
end
.
...
@@ -472,9 +459,9 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
...
@@ -472,9 +459,9 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
(
**
What
is
[
t
]
doing
to
get
us
to
this
point
?
The
%
\
index
{
tactics
!
info
}%
[
info
]
command
can
help
us
answer
this
kind
of
question
.
*
)
(
**
What
is
[
t
]
doing
to
get
us
to
this
point
?
The
%
\
index
{
tactics
!
info
}%
[
info
]
command
can
help
us
answer
this
kind
of
question
.
*
)
(
**
remove
printing
*
*
)
Undo
.
Undo
.
info
t
.
info
t
.
(
**
%
\
vspace
{-
.15
in
}%
[[
(
**
%
\
vspace
{-
.15
in
}%
[[
==
simpl
in
*;
intuition
;
subst
;
autorewrite
with
core
in
*;
==
simpl
in
*;
intuition
;
subst
;
autorewrite
with
core
in
*;
simpl
in
*;
intuition
;
subst
;
autorewrite
with
core
in
*;
simpl
in
*;
intuition
;
subst
;
autorewrite
with
core
in
*;
...
@@ -533,8 +520,6 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
...
@@ -533,8 +520,6 @@ Theorem reassoc_correct : forall e, eval (reassoc e) = eval e.
Abort
.
Abort
.
(
*
end
thide
*
)
(
*
end
thide
*
)
(
**
printing
*
$
\
times
$
*
)
(
**
Sometimes
a
change
to
a
development
has
undesirable
performance
consequences
,
even
if
it
does
not
prevent
any
old
proof
scripts
from
completing
.
If
the
performance
consequences
are
severe
enough
,
the
proof
scripts
can
be
considered
broken
for
practical
purposes
.
(
**
Sometimes
a
change
to
a
development
has
undesirable
performance
consequences
,
even
if
it
does
not
prevent
any
old
proof
scripts
from
completing
.
If
the
performance
consequences
are
severe
enough
,
the
proof
scripts
can
be
considered
broken
for
practical
purposes
.
Here
is
one
example
of
a
performance
surprise
.
*
)
Here
is
one
example
of
a
performance
surprise
.
*
)
...
@@ -639,7 +624,7 @@ End slow.
...
@@ -639,7 +624,7 @@ End slow.
(
**
As
aggravating
as
the
above
situation
may
be
,
there
is
greater
aggravation
to
be
had
from
importing
library
modules
with
commands
like
%
\
index
{
Vernacular
commands
!
Require
Import
}%
[
Require
Import
]
.
Such
a
command
imports
not
just
the
Gallina
terms
from
a
module
,
but
also
all
the
hints
for
[
auto
]
,
[
eauto
]
,
and
[
autorewrite
]
.
Some
very
recent
versions
of
Coq
include
mechanisms
for
removing
hints
from
databases
,
but
the
proper
solution
is
to
be
very
conservative
in
exporting
hints
from
modules
.
Consider
putting
hints
in
named
databases
,
so
that
they
may
be
used
only
when
called
upon
explicitly
,
as
demonstrated
in
Chapter
13.
(
**
As
aggravating
as
the
above
situation
may
be
,
there
is
greater
aggravation
to
be
had
from
importing
library
modules
with
commands
like
%
\
index
{
Vernacular
commands
!
Require
Import
}%
[
Require
Import
]
.
Such
a
command
imports
not
just
the
Gallina
terms
from
a
module
,
but
also
all
the
hints
for
[
auto
]
,
[
eauto
]
,
and
[
autorewrite
]
.
Some
very
recent
versions
of
Coq
include
mechanisms
for
removing
hints
from
databases
,
but
the
proper
solution
is
to
be
very
conservative
in
exporting
hints
from
modules
.
Consider
putting
hints
in
named
databases
,
so
that
they
may
be
used
only
when
called
upon
explicitly
,
as
demonstrated
in
Chapter
13.
It
is
also
easy
to
end
up
with
a
proof
script
that
uses
too
much
memory
.
As
tactics
run
,
they
avoid
generating
proof
terms
,
since
serious
proof
search
will
consider
many
possible
avenues
,
and
we
do
not
want
to
build
proof
terms
for
subproofs
that
end
up
unused
.
Instead
,
tactic
execution
maintains
%
\
index
{
thunks
}%
_
thunks_
(
suspended
computations
,
represented
with
closures
)
,
such
that
a
tactic
'
s
proof
-
producing
thunk
is
only
executed
when
we
run
%
\
index
{
Vernacular
commands
!
Qed
}%
[
Qed
]
.
These
thunks
can
use
up
large
amounts
of
space
,
such
that
a
proof
script
exhausts
available
memory
,
even
when
we
know
that
we
could
have
used
much
less
memory
by
forcing
some
thunks
earlier
.
It
is
also
easy
to
end
up
with
a
proof
script
that
uses
too
much
memory
.
As
tactics
run
,
they
avoid
generating
proof
terms
,
since
serious
proof
search
will
consider
many
possible
avenues
,
and
we
do
not
want
to
build
proof
terms
for
subproofs
that
end
up
unused
.
Instead
,
tactic
execution
maintains
%
\
index
{
thunks
}%
_
thunks_
(
suspended
computations
,
represented
with
closures
)
,
such
that
a
tactic
'
s
proof
-
producing
thunk
is
only
executed
when
we
run
%
\
index
{
Vernacular
commands
!
Qed
}%
[
Qed
]
.
These
thunks
can
use
up
large
amounts
of
space
,
such
that
a
proof
script
exhausts
available
memory
,
even
when
we
know
that
we
could
have
used
much
less
memory
by
forcing
some
thunks
earlier
.
The
%
\
index
{
tactics
!
abstract
}%
[
abstract
]
tactical
helps
us
force
thunks
by
proving
some
subgoals
as
their
own
lemmas
.
For
instance
,
a
proof
[
induction
x
;
crush
]
can
in
many
cases
be
made
to
use
significantly
less
peak
memory
by
changing
it
to
[
induction
x
;
abstract
crush
]
.
The
main
limitation
of
[
abstract
]
is
that
it
can
only
be
applied
to
subgoals
that
are
proved
completely
,
with
no
undetermined
unification
variables
remaining
.
Still
,
many
large
automated
proofs
can
realize
vast
memory
savings
via
[
abstract
]
.
*
)
The
%
\
index
{
tactics
!
abstract
}%
[
abstract
]
tactical
helps
us
force
thunks
by
proving
some
subgoals
as
their
own
lemmas
.
For
instance
,
a
proof
[
induction
x
;
crush
]
can
in
many
cases
be
made
to
use
significantly
less
peak
memory
by
changing
it
to
[
induction
x
;
abstract
crush
]
.
The
main
limitation
of
[
abstract
]
is
that
it
can
only
be
applied
to
subgoals
that
are
proved
completely
,
with
no
undetermined
unification
variables
remaining
.
Still
,
many
large
automated
proofs
can
realize
vast
memory
savings
via
[
abstract
]
.
*
)
...
@@ -648,7 +633,7 @@ It is also easy to end up with a proof script that uses too much memory. As tac
...
@@ -648,7 +633,7 @@ It is also easy to end up with a proof script that uses too much memory. As tac
(
**
Last
chapter
'
s
examples
of
proof
by
reflection
demonstrate
opportunities
for
implementing
abstract
proof
strategies
with
stronger
formal
guarantees
than
can
be
had
with
Ltac
scripting
.
Coq
'
s
_
module
system_
provides
another
tool
for
more
rigorous
development
of
generic
theorems
.
This
feature
is
inspired
by
the
module
systems
found
in
Standard
ML
%~
\
cite
{
modules
}%
and
Objective
Caml
,
and
the
discussion
that
follows
assumes
familiarity
with
the
basics
of
one
of
those
systems
.
(
**
Last
chapter
'
s
examples
of
proof
by
reflection
demonstrate
opportunities
for
implementing
abstract
proof
strategies
with
stronger
formal
guarantees
than
can
be
had
with
Ltac
scripting
.
Coq
'
s
_
module
system_
provides
another
tool
for
more
rigorous
development
of
generic
theorems
.
This
feature
is
inspired
by
the
module
systems
found
in
Standard
ML
%~
\
cite
{
modules
}%
and
Objective
Caml
,
and
the
discussion
that
follows
assumes
familiarity
with
the
basics
of
one
of
those
systems
.
ML
modules
facilitate
the
grouping
of
%
\
index
{
abstract
type
}%
abstract
types
with
operations
over
those
types
.
Moreover
,
there
is
support
for
%
\
index
{
functor
}%
_
functors_
,
which
are
functions
from
modules
to
modules
.
A
canonical
example
of
a
functor
is
one
that
builds
a
data
structure
implementation
from
a
module
that
describes
a
domain
of
keys
and
its
associated
comparison
operations
.
ML
modules
facilitate
the
grouping
of
%
\
index
{
abstract
type
}%
abstract
types
with
operations
over
those
types
.
Moreover
,
there
is
support
for
%
\
index
{
functor
}%
_
functors_
,
which
are
functions
from
modules
to
modules
.
A
canonical
example
of
a
functor
is
one
that
builds
a
data
structure
implementation
from
a
module
that
describes
a
domain
of
keys
and
its
associated
comparison
operations
.
When
we
add
modules
to
a
base
language
with
dependent
types
,
it
becomes
possible
to
use
modules
and
functors
to
formalize
kinds
of
reasoning
that
are
common
in
algebra
.
For
instance
,
this
module
signature
captures
the
essence
of
the
algebraic
structure
known
as
a
group
.
A
group
consists
of
a
carrier
set
[
G
]
,
an
associative
binary
operation
[
f
]
,
a
left
identity
element
[
e
]
for
[
f
]
,
and
an
operation
[
i
]
that
is
a
left
inverse
for
[
f
]
.%
\
index
{
Vernacular
commands
!
Module
Type
}%
*
)
When
we
add
modules
to
a
base
language
with
dependent
types
,
it
becomes
possible
to
use
modules
and
functors
to
formalize
kinds
of
reasoning
that
are
common
in
algebra
.
For
instance
,
this
module
signature
captures
the
essence
of
the
algebraic
structure
known
as
a
group
.
A
group
consists
of
a
carrier
set
[
G
]
,
an
associative
binary
operation
[
f
]
,
a
left
identity
element
[
e
]
for
[
f
]
,
and
an
operation
[
i
]
that
is
a
left
inverse
for
[
f
]
.%
\
index
{
Vernacular
commands
!
Module
Type
}%
*
)
...
@@ -678,7 +663,7 @@ End GROUP_THEOREMS.
...
@@ -678,7 +663,7 @@ End GROUP_THEOREMS.
(
**
We
implement
generic
proofs
of
these
theorems
with
a
functor
,
whose
input
is
an
arbitrary
group
[
M
]
.
%
\
index
{
Vernacular
commands
!
Module
}%
*
)
(
**
We
implement
generic
proofs
of
these
theorems
with
a
functor
,
whose
input
is
an
arbitrary
group
[
M
]
.
%
\
index
{
Vernacular
commands
!
Module
}%
*
)
Module
GroupProofs
(
M
:
GROUP
)
:
GROUP_THEOREMS
with
Module
M
:=
M
.
Module
GroupProofs
(
M
:
GROUP
)
:
GROUP_THEOREMS
with
Module
M
:=
M
.
(
**
As
in
ML
,
Coq
provides
multiple
options
for
ascribing
signatures
to
modules
.
Here
we
use
just
the
colon
operator
,
which
implements
%
\
index
{
opaque
ascription
}%
_
opaque
ascription_
,
hiding
all
details
of
the
module
not
exposed
by
the
signature
.
Another
option
is
%
\
index
{
transparent
ascription
}%
_
transparent
ascription_
via
the
[
<:
]
operator
,
which
checks
for
signature
compatibility
without
hiding
implementation
details
.
Here
we
stick
with
opaque
ascription
but
employ
the
[
with
]
operation
to
add
more
detail
to
a
signature
,
exposing
just
those
implementation
details
that
we
need
to
.
For
instance
,
here
we
expose
the
underlying
group
representation
set
and
operator
definitions
.
Without
such
a
refinement
,
we
would
get
an
output
module
proving
theorems
about
some
unknown
group
,
which
is
not
very
useful
.
Also
note
that
opaque
ascription
can
in
Coq
have
some
undesirable
consequences
without
analogues
in
ML
,
since
not
just
the
types
but
also
the
_
definitions_
of
identifiers
have
significance
in
type
checking
and
theorem
proving
.
*
)
(
**
As
in
ML
,
Coq
provides
multiple
options
for
ascribing
signatures
to
modules
.
Here
we
use
just
the
colon
operator
,
which
implements
%
\
index
{
opaque
ascription
}%
_
opaque
ascription_
,
hiding
all
details
of
the
module
not
exposed
by
the
signature
.
Another
option
is
%
\
index
{
transparent
ascription
}%
_
transparent
ascription_
via
the
[
<:
]
operator
,
which
checks
for
signature
compatibility
without
hiding
implementation
details
.
Here
we
stick
with
opaque
ascription
but
employ
the
[
with
]
operation
to
add
more
detail
to
a
signature
,
exposing
just
those
implementation
details
that
we
need
to
.
For
instance
,
here
we
expose
the
underlying
group
representation
set
and
operator
definitions
.
Without
such
a
refinement
,
we
would
get
an
output
module
proving
theorems
about
some
unknown
group
,
which
is
not
very
useful
.
Also
note
that
opaque
ascription
can
in
Coq
have
some
undesirable
consequences
without
analogues
in
ML
,
since
not
just
the
types
but
also
the
_
definitions_
of
identifiers
have
significance
in
type
checking
and
theorem
proving
.
*
)
Module
M
:=
M
.
Module
M
:=
M
.
(
**
To
ensure
that
the
module
we
are
building
meets
the
[
GROUP_THEOREMS
]
signature
,
we
add
an
extra
local
name
for
[
M
]
,
the
functor
argument
.
*
)
(
**
To
ensure
that
the
module
we
are
building
meets
the
[
GROUP_THEOREMS
]
signature
,
we
add
an
extra
local
name
for
[
M
]
,
the
functor
argument
.
*
)
...
...
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