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Estimated hours taken: 2 Branches: main compiler/ml_*.m: Convert these modules to four space indentation, and clean up departures from our coding standards.
275 lines
11 KiB
Mathematica
275 lines
11 KiB
Mathematica
%-----------------------------------------------------------------------------%
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% vim: ft=mercury ts=4 sw=4 et
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%-----------------------------------------------------------------------------%
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% Copyright (C) 1994-2005 The University of Melbourne.
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% This file may only be copied under the terms of the GNU General
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% Public License - see the file COPYING in the Mercury distribution.
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%-----------------------------------------------------------------------------%
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% file: ml_string_switch.m
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% author: fjh (adapted from string_switch.m)
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% For switches on strings, we generate a hash table using open addressing
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% to resolve hash conflicts.
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% WARNING: the code here is quite similar to the code in string_switch.m.
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% Any changes here may require similar changes there and vice versa.
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%-----------------------------------------------------------------------------%
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:- module ml_backend__ml_string_switch.
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:- interface.
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:- import_module backend_libs__switch_util.
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:- import_module hlds__code_model.
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:- import_module hlds__hlds_data.
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:- import_module ml_backend__ml_code_util.
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:- import_module ml_backend__mlds.
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:- import_module parse_tree__prog_data.
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:- pred generate(cases_list::in, prog_var::in, code_model::in, can_fail::in,
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prog_context::in, mlds__defns::out, mlds__statements::out,
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ml_gen_info::in, ml_gen_info::out) is det.
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%-----------------------------------------------------------------------------%
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:- implementation.
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:- import_module backend_libs__builtin_ops.
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:- import_module check_hlds__type_util.
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:- import_module libs__globals.
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:- import_module libs__options.
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:- import_module ml_backend__ml_code_gen.
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:- import_module ml_backend__ml_simplify_switch.
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:- import_module ml_backend__ml_switch_gen.
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:- import_module parse_tree__error_util.
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:- import_module assoc_list.
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:- import_module bool.
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:- import_module int.
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:- import_module list.
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:- import_module map.
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:- import_module require.
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:- import_module std_util.
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:- import_module string.
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generate(Cases, Var, CodeModel, _CanFail, Context, Decls, Statements, !Info) :-
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MLDS_Context = mlds__make_context(Context),
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% Compute the value we're going to switch on.
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ml_gen_var(!.Info, Var, VarLval),
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VarRval = lval(VarLval),
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% Generate the following local variable declarations:
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% int slot;
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% MR_String str;
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ml_gen_info_new_cond_var(SlotVarSeq, !Info),
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SlotVarName = mlds__var_name(
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string__format("slot_%d", [i(SlotVarSeq)]), no),
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SlotVarType = mlds__native_int_type,
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SlotVarGCTraceCode = no, % never need to trace ints
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SlotVarDefn = ml_gen_mlds_var_decl(var(SlotVarName), SlotVarType,
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SlotVarGCTraceCode, MLDS_Context),
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ml_gen_var_lval(!.Info, SlotVarName, SlotVarType, SlotVarLval),
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ml_gen_info_new_cond_var(StringVarSeq, !Info),
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StringVarName = mlds__var_name(
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string__format("str_%d", [i(StringVarSeq)]), no),
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StringVarType = ml_string_type,
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% This variable always points to an element of the string_table array,
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% which are all static constants; it can never point into the heap.
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% So the GC never needs to trace it
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StringVarGCTraceCode = no,
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StringVarDefn = ml_gen_mlds_var_decl(var(StringVarName),
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StringVarType, StringVarGCTraceCode, MLDS_Context),
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ml_gen_var_lval(!.Info, StringVarName, StringVarType, StringVarLval),
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% Generate new labels.
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ml_gen_new_label(EndLabel, !Info),
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GotoEndStatement = mlds__statement(goto(label(EndLabel)),
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MLDS_Context),
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% Determine how big to make the hash table. Currently we round the number
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% of cases up to the nearest power of two, and then double it. This should
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% hopefully ensure that we don't get too many hash collisions.
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%
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list__length(Cases, NumCases),
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int__log2(NumCases, LogNumCases),
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int__pow(2, LogNumCases, RoundedNumCases),
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TableSize = 2 * RoundedNumCases,
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HashMask = TableSize - 1,
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% Compute the hash table.
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switch_util__string_hash_cases(Cases, HashMask, HashValsMap),
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map__to_assoc_list(HashValsMap, HashValsList),
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switch_util__calc_hash_slots(HashValsList, HashValsMap, HashSlotsMap),
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% Generate the code for when the hash lookup fails.
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ml_gen_failure(CodeModel, Context, FailStatements, !Info),
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% Generate the code etc. for the hash table.
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gen_hash_slots(0, TableSize, HashSlotsMap, CodeModel,
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Context, Strings, NextSlots, SlotsCases, !Info),
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% Generate the following local constant declarations:
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% static const int next_slots_table = { <NextSlots> };
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% static const MR_String string_table[] = { <Strings> };
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ml_gen_info_new_const(NextSlotsSeq, !Info),
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ml_format_static_const_name(!.Info, "next_slots_table", NextSlotsSeq,
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NextSlotsName),
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NextSlotsType = mlds__array_type(SlotVarType),
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NextSlotsDefn = ml_gen_static_const_defn(NextSlotsName,
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NextSlotsType, local, init_array(NextSlots), Context),
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ml_gen_var_lval(!.Info, NextSlotsName, NextSlotsType, NextSlotsLval),
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ml_gen_info_new_const(StringTableSeq, !Info),
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ml_format_static_const_name(!.Info, "string_table", StringTableSeq,
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StringTableName),
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StringTableType = mlds__array_type(StringVarType),
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StringTableDefn = ml_gen_static_const_defn(StringTableName,
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StringTableType, local, init_array(Strings), Context),
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ml_gen_var_lval(!.Info, StringTableName, StringTableType,
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StringTableLval),
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% Generate code which does the hash table lookup.
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SwitchStmt0 = switch(SlotVarType, lval(SlotVarLval),
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range(0, TableSize - 1), SlotsCases, default_is_unreachable),
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ml_simplify_switch(SwitchStmt0, MLDS_Context, SwitchStatement, !Info),
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FoundMatchCond =
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binop(and,
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binop(ne,
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lval(StringVarLval),
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const(null(StringVarType))),
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binop(str_eq,
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lval(StringVarLval),
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VarRval)
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),
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FoundMatchCode = mlds__statement(
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block([], [
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mlds__statement(atomic(comment("we found a match")), MLDS_Context),
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mlds__statement(atomic(comment(
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"dispatch to the corresponding code")), MLDS_Context),
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SwitchStatement,
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GotoEndStatement
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]),
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MLDS_Context),
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LoopBody = ml_gen_block([], [
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mlds__statement(atomic(comment(
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"lookup the string for this hash slot")), MLDS_Context),
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mlds__statement(
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atomic(assign(StringVarLval,
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binop(array_index(elem_type_string),
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lval(StringTableLval),
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lval(SlotVarLval)))),
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MLDS_Context),
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mlds__statement(atomic(comment("did we find a match?")), MLDS_Context),
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mlds__statement(
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if_then_else(FoundMatchCond, FoundMatchCode, no), MLDS_Context),
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mlds__statement(atomic(comment(
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"no match yet, so get next slot in hash chain")), MLDS_Context),
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mlds__statement(
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atomic(assign(SlotVarLval,
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binop(array_index(elem_type_int),
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lval(NextSlotsLval),
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lval(SlotVarLval)))),
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MLDS_Context)
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],
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Context),
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HashLookupStatements = [
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mlds__statement(atomic(comment("hashed string switch")),
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MLDS_Context),
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mlds__statement(atomic(comment(
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"compute the hash value of the input string")), MLDS_Context),
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mlds__statement(
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atomic(assign(SlotVarLval, binop(&,
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unop(std_unop(hash_string), VarRval),
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const(int_const(HashMask))))),
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MLDS_Context),
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mlds__statement(atomic(comment("hash chain loop")), MLDS_Context),
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mlds__statement(
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while(binop(>=, lval(SlotVarLval), const(int_const(0))),
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LoopBody,
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yes), % this is a do...while loop
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MLDS_Context)
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],
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FailComment =
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mlds__statement(atomic(comment("no match, so fail")),
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MLDS_Context),
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EndLabelStatement = mlds__statement(label(EndLabel), MLDS_Context),
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EndComment =
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mlds__statement(atomic(comment("end of hashed string switch")),
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MLDS_Context),
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% Collect all the generated variable/constant declarations
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% and code fragments together.
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Decls = [NextSlotsDefn, StringTableDefn, SlotVarDefn, StringVarDefn],
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Statements = HashLookupStatements ++ [FailComment | FailStatements] ++
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[EndLabelStatement, EndComment].
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%-----------------------------------------------------------------------------%
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:- pred gen_hash_slots(int::in, int::in,
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map(int, hash_slot)::in, code_model::in, prog_context::in,
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list(mlds__initializer)::out, list(mlds__initializer)::out,
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list(mlds__switch_case)::out,
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ml_gen_info::in, ml_gen_info::out) is det.
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gen_hash_slots(Slot, TableSize, HashSlotMap, CodeModel, Context, Strings,
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NextSlots, MLDS_Cases, !Info) :-
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( Slot = TableSize ->
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Strings = [],
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NextSlots = [],
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MLDS_Cases = []
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;
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MLDS_Context = mlds__make_context(Context),
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gen_hash_slot(Slot, HashSlotMap, CodeModel, MLDS_Context, String,
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NextSlot, SlotCases, !Info),
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gen_hash_slots(Slot + 1, TableSize, HashSlotMap, CodeModel, Context,
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Strings0, NextSlots0, MLDS_Cases0, !Info),
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Strings = [String | Strings0],
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NextSlots = [NextSlot | NextSlots0],
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MLDS_Cases = SlotCases ++ MLDS_Cases0
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).
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:- pred gen_hash_slot(int::in, map(int, hash_slot)::in,
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code_model::in, mlds__context::in, mlds__initializer::out,
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mlds__initializer::out, list(mlds__switch_case)::out,
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ml_gen_info::in, ml_gen_info::out) is det.
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gen_hash_slot(Slot, HashSlotMap, CodeModel, MLDS_Context,
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init_obj(StringRval), init_obj(NextSlotRval), MLDS_Cases, !Info) :-
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( map__search(HashSlotMap, Slot, hash_slot(Case, Next)) ->
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NextSlotRval = const(int_const(Next)),
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Case = case(_, ConsTag, _, Goal),
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( ConsTag = string_constant(String0) ->
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String = String0
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;
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error("gen_hash_slots: string expected")
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),
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StringRval = const(string_const(String)),
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ml_gen_goal(CodeModel, Goal, GoalStatement, !Info),
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string__append_list(["case """, String, """"], CommentString),
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Comment = mlds__statement(atomic(comment(CommentString)),
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MLDS_Context),
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CaseStatement = mlds__statement(block([], [Comment, GoalStatement]),
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MLDS_Context),
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MLDS_Cases = [[match_value(const(int_const(Slot)))] - CaseStatement]
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;
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StringRval = const(null(ml_string_type)),
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NextSlotRval = const(int_const(-2)),
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MLDS_Cases = []
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).
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%-----------------------------------------------------------------------------%
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:- func this_file = string.
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this_file = "ml_string_switch.m".
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%-----------------------------------------------------------------------------%
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