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https://github.com/Mercury-Language/mercury.git
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9cacd33f47
This first step deals with the consequences of such removal.
The removal itself will happen in stage 2. That step will
add "is" to the prolog module in the library.
compiler/add_pred.m:
Prepare for "is" being in the prolog module.
compiler/options.m:
Add a way to test whether the change to add_pred.m is in the
installed compiler.
tests/accumulator/base.m:
tests/accumulator/call_in_base.m:
tests/accumulator/chain.m:
tests/accumulator/commutative.m:
tests/accumulator/construct_test.m:
tests/accumulator/dcg.m:
tests/accumulator/deconstruct_test.m:
tests/accumulator/disj.m:
tests/accumulator/func.m:
tests/accumulator/heuristic.m:
tests/accumulator/highorder.m:
tests/accumulator/identity.m:
tests/accumulator/inter.m:
tests/accumulator/nonrec.m:
tests/accumulator/out_to_in.m:
tests/accumulator/qsort.m:
tests/accumulator/simple.m:
tests/accumulator/split.m:
tests/accumulator/swap.m:
tests/benchmarks/cqueens.m:
tests/benchmarks/crypt.m:
tests/benchmarks/deriv.m:
tests/benchmarks/deriv2.m:
tests/benchmarks/nrev.m:
tests/benchmarks/poly.m:
tests/benchmarks/primes.m:
tests/benchmarks/qsort.m:
tests/benchmarks/query.m:
tests/benchmarks/tak.m:
tests/debugger/interactive.m:
tests/declarative_debugger/Mercury.options:
tests/declarative_debugger/io_read_bug.m:
tests/declarative_debugger/queens.exp:
tests/declarative_debugger/queens.m:
tests/dppd/imperative_solve_impl.m:
tests/dppd/map_impl.m:
tests/dppd/max_length_impl.m:
tests/dppd/sum.m:
tests/dppd/upto_sum_impl.m:
tests/par_conj/dep_par_21.m:
tests/tabling/seq.m:
tests/term/dds3_14.m:
tests/term/mmatrix.m:
tests/term/money.m:
tests/term/occur.m:
tests/term/pl4_5_2.m:
tests/term/queens.m:
tests/typeclasses/inference_test.m:
tests/typeclasses/inference_test_2.m:
tests/valid/lazy_list.m:
tests/warnings/duplicate_const.m:
Replace calls to "is" with unifications. In many places,
bring programming style up to date.
119 lines
2.8 KiB
Mathematica
119 lines
2.8 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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% query
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%
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% David H. D. Warren
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%
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% query population and area database to find countries of
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% approximately equal population density.
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:- module query.
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:- interface.
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:- import_module io.
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:- pred main(io::di, io::uo) is cc_multi.
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:- implementation.
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:- import_module int.
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:- import_module prolog.
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:- type quad
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---> quad(string, int, string, int).
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main(!IO) :-
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( if query(Out) then
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Out = quad(C1, D1, C2, D2),
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io.write_string(C1, !IO),
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io.write_string(" has density ", !IO),
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io.write_int(D1, !IO),
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io.write_string(" while ", !IO),
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io.write_string(C2, !IO),
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io.write_string(" has density ", !IO),
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io.write_int(D2, !IO),
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io.write_string("\n", !IO)
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else
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io.write_string("No solutions\n", !IO)
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).
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:- pred query(quad::out) is nondet.
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query(quad(C1, D1, C2, D2)) :-
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density(C1, D1),
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density(C2, D2),
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D1 > D2,
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T1 = 20 * D1,
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T2 = 21 * D2,
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T1 < T2.
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:- pred density(string, int).
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:- mode density(out, out) is nondet.
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density(C, D) :-
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pop(C, P),
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area(C, A),
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P100 = P * 100,
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D = P100 // A.
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:- pred pop(string::out, int::out) is multi.
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% populations in 100000s
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pop("china", 8250).
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pop("india", 5863).
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pop("ussr", 2521).
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pop("usa", 2119).
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pop("indonesia", 1276).
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pop("japan", 1097).
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pop("brazil", 1042).
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pop("bangladesh", 750).
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pop("pakistan", 682).
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pop("w_germany", 620).
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pop("nigeria", 613).
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pop("mexico", 581).
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pop("uk", 559).
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pop("italy", 554).
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pop("france", 525).
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pop("philippines", 415).
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pop("thailand", 410).
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pop("turkey", 383).
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pop("egypt", 364).
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pop("spain", 352).
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pop("poland", 337).
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pop("s_korea", 335).
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pop("iran", 320).
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pop("ethiopia", 272).
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pop("argentina", 251).
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:- pred area(string::in, int::out) is semidet.
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% areas in 1000s of square miles
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area("china", 3380).
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area("india", 1139).
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area("ussr", 8708).
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area("usa", 3609).
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area("indonesia", 570).
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area("japan", 148).
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area("brazil", 3288).
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area("bangladesh", 55).
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area("pakistan", 311).
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area("w_germany", 96).
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area("nigeria", 373).
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area("mexico", 764).
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area("uk", 86).
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area("italy", 116).
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area("france", 213).
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area("philippines", 90).
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area("thailand", 200).
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area("turkey", 296).
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area("egypt", 386).
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area("spain", 190).
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area("poland", 121).
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area("s_korea", 37).
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area("iran", 628).
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area("ethiopia", 350).
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area("argentina", 1080).
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