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cpdt
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78351055
Commit
78351055
authored
Nov 10, 2010
by
Adam Chlipala
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Equality.v
src/Equality.v
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Generic.v
src/Generic.v
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src/Equality.v
View file @
78351055
(
*
Copyright
(
c
)
2008
,
Adam
Chlipala
(
*
Copyright
(
c
)
2008
-
2010
,
Adam
Chlipala
*
*
*
This
work
is
licensed
under
a
*
This
work
is
licensed
under
a
*
Creative
Commons
Attribution
-
Noncommercial
-
No
Derivative
Works
3.0
*
Creative
Commons
Attribution
-
Noncommercial
-
No
Derivative
Works
3.0
...
...
src/Generic.v
View file @
78351055
(
*
Copyright
(
c
)
2008
-
20
09
,
Adam
Chlipala
(
*
Copyright
(
c
)
2008
-
20
10
,
Adam
Chlipala
*
*
*
This
work
is
licensed
under
a
*
This
work
is
licensed
under
a
*
Creative
Commons
Attribution
-
Noncommercial
-
No
Derivative
Works
3.0
*
Creative
Commons
Attribution
-
Noncommercial
-
No
Derivative
Works
3.0
...
@@ -18,7 +18,7 @@ Set Implicit Arguments.
...
@@ -18,7 +18,7 @@ Set Implicit Arguments.
(
**
%
\
chapter
{
Generic
Programming
}%
*
)
(
**
%
\
chapter
{
Generic
Programming
}%
*
)
(
**
%
\
textit
{%
#
<
i
>
#
Generic
programming
#
</
i
>
#
%}%
makes
it
possible
to
write
functions
that
operate
over
different
types
of
data
.
Parametric
polymorphism
in
ML
and
Haskell
is
one
of
the
simplest
examples
.
ML
-
style
module
systems
and
Haskell
type
classes
are
more
flexible
cases
.
These
language
features
are
often
not
as
powerful
so
we
would
like
.
For
instance
,
while
Haskell
includes
a
type
class
classifying
those
types
whose
values
can
be
pretty
-
printed
,
per
-
type
pretty
-
printing
is
usually
either
implemented
manually
or
implemented
via
a
[
deriving
]
clause
,
which
triggers
ad
-
hoc
code
generation
.
Some
clever
encoding
tricks
have
been
used
to
achieve
better
within
Haskell
and
other
languages
,
but
we
can
do
datatype
-
generic
programming
much
more
cleanly
with
dependent
types
.
Thanks
to
the
expressive
power
of
CIC
,
we
need
no
special
language
support
.
(
**
%
\
textit
{%
#
<
i
>
#
Generic
programming
#
</
i
>
#
%}%
makes
it
possible
to
write
functions
that
operate
over
different
types
of
data
.
Parametric
polymorphism
in
ML
and
Haskell
is
one
of
the
simplest
examples
.
ML
-
style
module
systems
and
Haskell
type
classes
are
more
flexible
cases
.
These
language
features
are
often
not
as
powerful
as
we
would
like
.
For
instance
,
while
Haskell
includes
a
type
class
classifying
those
types
whose
values
can
be
pretty
-
printed
,
per
-
type
pretty
-
printing
is
usually
either
implemented
manually
or
implemented
via
a
[
deriving
]
clause
,
which
triggers
ad
-
hoc
code
generation
.
Some
clever
encoding
tricks
have
been
used
to
achieve
better
within
Haskell
and
other
languages
,
but
we
can
do
datatype
-
generic
programming
much
more
cleanly
with
dependent
types
.
Thanks
to
the
expressive
power
of
CIC
,
we
need
no
special
language
support
.
Generic
programming
can
often
be
very
useful
in
Coq
developments
,
so
we
devote
this
chapter
to
studying
it
.
In
a
proof
assistant
,
there
is
the
new
possibility
of
generic
proofs
about
generic
programs
,
which
we
also
devote
some
space
to
.
*
)
Generic
programming
can
often
be
very
useful
in
Coq
developments
,
so
we
devote
this
chapter
to
studying
it
.
In
a
proof
assistant
,
there
is
the
new
possibility
of
generic
proofs
about
generic
programs
,
which
we
also
devote
some
space
to
.
*
)
...
@@ -38,7 +38,7 @@ Record constructor : Type := Con {
...
@@ -38,7 +38,7 @@ Record constructor : Type := Con {
recursive
:
nat
recursive
:
nat
}.
}.
(
**
The
idea
is
that
a
constructor
represented
as
[
Con
T
n
]
has
[
n
]
arguments
of
the
type
that
we
are
defining
.
Additionally
,
all
of
the
other
,
non
-
recursive
arguments
can
be
encoded
in
the
type
[
T
]
.
When
there
are
no
non
-
recursive
arguments
,
[
T
]
can
be
[
unit
]
.
When
there
are
two
non
-
recursive
arguments
,
of
types
[
A
]
and
[
B
]
,
[
T
]
can
be
[
A
*
B
]
.
We
can
generalize
r
to
any
number
of
arguments
via
tupling
.
(
**
The
idea
is
that
a
constructor
represented
as
[
Con
T
n
]
has
[
n
]
arguments
of
the
type
that
we
are
defining
.
Additionally
,
all
of
the
other
,
non
-
recursive
arguments
can
be
encoded
in
the
type
[
T
]
.
When
there
are
no
non
-
recursive
arguments
,
[
T
]
can
be
[
unit
]
.
When
there
are
two
non
-
recursive
arguments
,
of
types
[
A
]
and
[
B
]
,
[
T
]
can
be
[
A
*
B
]
.
We
can
generalize
to
any
number
of
arguments
via
tupling
.
With
this
definition
,
it
as
easy
to
define
a
datatype
representation
in
terms
of
lists
of
constructors
.
*
)
With
this
definition
,
it
as
easy
to
define
a
datatype
representation
in
terms
of
lists
of
constructors
.
*
)
...
@@ -80,7 +80,7 @@ Section denote.
...
@@ -80,7 +80,7 @@ Section denote.
(
**
We
write
that
a
constructor
is
represented
as
a
function
returning
a
[
T
]
.
Such
a
function
takes
two
arguments
,
which
pack
together
the
non
-
recursive
and
recursive
arguments
of
the
constructor
.
We
represent
a
tuple
of
all
recursive
arguments
using
the
length
-
indexed
list
type
[
ilist
]
that
we
met
in
Chapter
7.
*
)
(
**
We
write
that
a
constructor
is
represented
as
a
function
returning
a
[
T
]
.
Such
a
function
takes
two
arguments
,
which
pack
together
the
non
-
recursive
and
recursive
arguments
of
the
constructor
.
We
represent
a
tuple
of
all
recursive
arguments
using
the
length
-
indexed
list
type
[
ilist
]
that
we
met
in
Chapter
7.
*
)
Definition
datatypeDenote
:=
hlist
constructorDenote
.
Definition
datatypeDenote
:=
hlist
constructorDenote
.
(
**
Finally
,
the
evidence
for
type
[
T
]
is
a
hetergeneous
list
,
including
a
constructor
denotation
for
every
constructor
encoding
in
a
datatype
encoding
.
Recall
that
,
since
we
are
inside
a
section
binding
[
T
]
as
a
variable
,
[
constructorDenote
]
is
automatically
parameterized
by
[
T
]
.
*
)
(
**
Finally
,
the
evidence
for
type
[
T
]
is
a
heter
o
geneous
list
,
including
a
constructor
denotation
for
every
constructor
encoding
in
a
datatype
encoding
.
Recall
that
,
since
we
are
inside
a
section
binding
[
T
]
as
a
variable
,
[
constructorDenote
]
is
automatically
parameterized
by
[
T
]
.
*
)
End
denote
.
End
denote
.
(
*
end
thide
*
)
(
*
end
thide
*
)
...
...
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