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33eb3028f5
tests/accumulator/*.m:
tests/analysis_*/*.m:
tests/benchmarks*/*.m:
tests/debugger*/*.{m,exp,inp}:
tests/declarative_debugger*/*.{m,exp,inp}:
tests/dppd*/*.m:
tests/exceptions*/*.m:
tests/general*/*.m:
tests/grade_subdirs*/*.m:
tests/hard_coded*/*.m:
Make these tests use four-space indentation, and ensure that
each module is imported on its own line. (I intend to use the latter
to figure out which subdirectories' tests can be executed in parallel.)
These changes usually move code to different lines. For the debugger tests,
specify the new line numbers in .inp files and expect them in .exp files.
67 lines
2.1 KiB
Mathematica
67 lines
2.1 KiB
Mathematica
%---------------------------------------------------------------------------%
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% vim: ts=4 sw=4 et ft=mercury
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%---------------------------------------------------------------------------%
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%
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% The "map.reduce" Benchmark
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% Part of the DPPD Library.
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%
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% Specialising the higher-order map/3 (using call and =..) for the
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% higher-order reduce/4 in turn applied to add/3. The benchmark program
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% uses built-ins but no negations. The benchmark illustrates that
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% partial deduction can be used to make declarative higher-order
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% programming in Prolog/LP efficient.
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:- module map_reduce.
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:- interface.
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:- pred map_reduce is semidet.
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:- implementation.
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:- import_module list.
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:- import_module map_impl.
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:- import_module run.
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map_reduce :-
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% XXX the commented-out line below results in a mode error,
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% due to the Mercury compiler's lack of support for partially
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% instantiated data structures. Therefore it has been
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% replaced with the line below it. (The commented-out code here
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% is also reproduced in a separate test case in tests/dppd/bug.m.)
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/* map_reduce_add([[1, 2], [1, 2, 3]], [_L1, _L2]), */
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map_reduce_add([[1, 2], [1, 2, 3]], Res0), Res0 = [_L1, _L2],
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map_reduce_add([[], [1, 2], [5, 6, 7], [8, 9, 10]], Res1),
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use(Res1),
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map_reduce_add([[], [1, 2], [5, 6, 7], [], [8, 9, 10], [11, 12],
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[13, 14], [15], [16]], Res2),
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use(Res2).
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% The partial deduction query
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%
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% :- map(reduce_add, L, R).
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%
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% The run-time queries
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%
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% :- map(reduce_add, [[1, 2], [1, 2, 3]], [L1, L2]).
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% :- map(reduce_add, [[], [1, 2], [5, 6, 7], [8, 9, 10]], Res).
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% :- map(reduce_add, [[], [1, 2], [5, 6, 7], [], [8, 9, 10], [11, 12],
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% [13, 14], [15], [16]], Res).
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%
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% Example solution
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%
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% With the ECCE partial deduction system one can obtain the following
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% program (which runs more than 12 times faster than the original):
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%
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% map__1([], []).
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% map__1([X1 | X2], [X3 | X4]) :-
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% reduce__3(X1, X3),
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% map__1(X2, X4).
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%
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% reduce__3([], 0).
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% reduce__3([X1 | X2], X3) :-
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% reduce__3(X2, X4),
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% X3 is '+'(X1, X4).
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%
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% Michael Leuschel / K.U. Leuven / michael@cs.kuleuven.ac.be
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