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More ML API

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Signed-off-by: Christoph M. Wintersteiger <cwinter@microsoft.com>
This commit is contained in:
Christoph M. Wintersteiger 2012-12-11 21:39:52 +00:00
parent a40433aae8
commit dcd6f1f697
3 changed files with 75 additions and 30 deletions
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57
scripts/update_api.py
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@ -157,9 +157,9 @@ Type2JavaW = { VOID : 'void', VOID_PTR : 'jlong', INT : 'jint', UINT : 'jint', I
BOOL : 'jboolean', SYMBOL : 'jlong', PRINT_MODE : 'jint', ERROR_CODE : 'jint'}
# Mapping to ML types
Type2ML = { VOID : 'unit', VOID_PTR : 'long', INT : 'int', UINT : 'int', INT64 : 'long', UINT64 : 'long', DOUBLE : 'double',
STRING : 'string', STRING_PTR : 'char**',
BOOL : 'lbool', SYMBOL : 'symbol', PRINT_MODE : 'ast_print_mode', ERROR_CODE : 'error_code' }
Type2ML = { VOID : 'unit', VOID_PTR : 'VOIDP', INT : 'int', UINT : 'int', INT64 : 'int', UINT64 : 'int', DOUBLE : 'float',
STRING : 'string', STRING_PTR : 'char**',
BOOL : 'int', SYMBOL : 'symbol', PRINT_MODE : 'int', ERROR_CODE : 'int' }
next_type_id = FIRST_OBJ_ID
@ -214,7 +214,7 @@ def type2javaw(ty):
def type2ml(ty):
global Type2ML
if (ty >= FIRST_OBJ_ID):
return 'long'
return 'int'
else:
return Type2ML[ty]
@ -331,6 +331,8 @@ def param2ml(p):
if k == OUT:
if param_type(p) == INT or param_type(p) == UINT or param_type(p) == INT64 or param_type(p) == UINT64:
return "int"
elif param_type(p) == INT64 or param_type(p) == UINT64 or param_type(p) >= FIRST_OBJ_ID:
return "int"
elif param_type(p) == STRING:
return "string"
else:
@ -1075,12 +1077,12 @@ def mk_ml():
if not is_ml_enabled():
return
ml_dir = get_component('ml').src_dir
ml_nativef = os.path.join(ml_dir, 'Z3.ml')
ml_nativef = os.path.join(ml_dir, 'z3.ml')
ml_wrapperf = os.path.join(ml_dir, 'native.c')
ml_native = open(ml_nativef, 'w')
ml_native.write('(* Automatically generated file *)\n')
ml_native.write('\n')
ml_native.write('module Z3Native = struct\n\n')
ml_native.write('(* Automatically generated file *)\n\n')
ml_native.write('open Enumerations\n\n')
ml_native.write('module Z3 = struct\n\n')
ml_native.write('type context\n')
ml_native.write('and symbol\n')
ml_native.write('and ast\n')
@ -1103,15 +1105,17 @@ def mk_ml():
ml_native.write('and solver\n')
ml_native.write('and stats\n')
ml_native.write('\n')
ml_native.write(' exception Z3Exception of string\n\n')
ml_native.write(' exception Exception of string\n\n')
for name, result, params in _dotnet_decls:
ml_native.write(' external native_%s : ' % ml_method_name(name))
ml_native.write(' external n_%s : ' % ml_method_name(name))
i = 0;
for param in params:
ml_native.write('%s -> ' % param2ml(param))
i = i + 1
if len(params) == 0:
ml_native.write(' unit -> ')
ml_native.write('%s\n' % (type2ml(result)))
ml_native.write(' = "Native_Z3_%s"\n\n' % ml_method_name(name))
ml_native.write(' = "n_%s"\n\n' % ml_method_name(name))
# Exception wrappers
for name, result, params in _dotnet_decls:
ml_native.write(' let %s ' % ml_method_name(name))
@ -1128,25 +1132,28 @@ def mk_ml():
ml_native.write(' ')
if result != VOID:
ml_native.write('let res = ')
ml_native.write('n_%s(' % (ml_method_name(name)))
first = True
i = 0;
for param in params:
if first:
first = False
else:
ml_native.write(', ')
ml_native.write('a%d' % i)
i = i + 1
ml_native.write(')')
if len(params) == 0:
ml_native.write('n_%s()' % (ml_method_name(name)))
else:
ml_native.write('(n_%s ' % (ml_method_name(name)))
first = True
i = 0;
for param in params:
if first:
first = False
else:
ml_native.write(' ')
ml_native.write('a%d' % i)
i = i + 1
ml_native.write(')')
if result != VOID:
ml_native.write(' in\n')
else:
ml_native.write(';\n')
if len(params) > 0 and param_type(params[0]) == CONTEXT:
ml_native.write(' let err = error_code.fromInt(n_get_error_code(a0)) in \n')
ml_native.write(' if err <> Z3_enums.OK then\n')
ml_native.write(' raise (z3_exception n_get_error_msg_ex(a0, err.toInt()))\n')
ml_native.write(' let err = (Enumerations.int2error_code (n_get_error_code a0)) in \n')
ml_native.write(' if err <> Enumerations.OK then\n')
ml_native.write(' raise (Exception (n_get_error_msg_ex a0 (error_code2int err)))\n')
ml_native.write(' else\n')
if result == VOID:
ml_native.write(' ()\n')