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Adapt the generator for dim readonly

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This commit is contained in:
q-posev 2022-05-18 11:55:40 +02:00
parent ddeb452715
commit 24b1ce6b35
1 changed files with 22 additions and 13 deletions
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29
tools/generator_tools.py
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@ -120,8 +120,10 @@ def recursive_populate_file(fname: str, paths: dict, detailed_source: dict) -> N
for item in detailed_source.keys(): for item in detailed_source.keys():
# special case to exclude write_determinant_num funcs from the public APIs # special case to exclude write functions for readonly dimensions (like determinant_num) from the public API
if 'determinant_num' in item and 'write' in fname and 'front' in fname and ('.f90' in fname or '.py' in fname): if 'write' in fname and 'front' in fname and ('.f90' in fname or '.py' in fname):
if 'trex_json_int_type' in detailed_source[item].keys():
if 'readonly' in detailed_source[item]['trex_json_int_type']:
continue continue
with open(join(templ_path,fname), 'r') as f_in : with open(join(templ_path,fname), 'r') as f_in :
@ -145,19 +147,22 @@ def recursive_populate_file(fname: str, paths: dict, detailed_source: dict) -> N
continue continue
# special case to uncomment check for positive dimensioning variables in templates # special case to uncomment check for positive dimensioning variables in templates
elif 'uncommented by the generator for dimensioning' in line: elif 'uncommented by the generator for dimensioning' in line:
# only uncomment and write the line if `num` is in the name # only uncomment and write the line if `dim` is in the name
if 'dim' in detailed_source[item]['trex_json_int_type']: if 'dim' in detailed_source[item]['trex_json_int_type']:
templine = line.replace('//', '') templine = line.replace('//', '')
f_out.write(templine) f_out.write(templine)
# general case of recursive replacement of inline triggers # general case of recursive replacement of inline triggers
else: else:
populated_line = recursive_replace_line(line, triggers, detailed_source[item]) populated_line = recursive_replace_line(line, triggers, detailed_source[item])
# special case to include write_determinant_num funcs in the private header # special case to include some functions in the private header
if 'determinant_num' in item and 'write' in line and 'front.h' in fname: if 'trex_json_int_type' in detailed_source[item].keys():
if 'readonly' in detailed_source[item]['trex_json_int_type'] and 'write' in line and 'front.h' in fname:
with open(join(templ_path,'populated/private_pop_front.h'), 'a') as f_priv: with open(join(templ_path,'populated/private_pop_front.h'), 'a') as f_priv:
f_priv.write(populated_line) f_priv.write(populated_line)
else: else:
f_out.write(populated_line) f_out.write(populated_line)
else:
f_out.write(populated_line)
f_out.write("\n") f_out.write("\n")
@ -490,7 +495,7 @@ def get_dtype_dict (dtype: str, target: str, rank = None, int_len_printf = None)
f'group_{target}_format_scanf' : 'lf', f'group_{target}_format_scanf' : 'lf',
f'group_{target}_py_dtype' : 'float' f'group_{target}_py_dtype' : 'float'
}) })
elif dtype in ['int', 'dim', 'index']: elif dtype in ['int', 'dim', 'dim readonly', 'index']:
dtype_dict.update({ dtype_dict.update({
'default_prec' : '32', 'default_prec' : '32',
f'group_{target}_dtype' : 'int64_t', f'group_{target}_dtype' : 'int64_t',
@ -581,16 +586,17 @@ def get_detailed_num_dict (configuration: dict) -> dict:
tmp_num = f'{k1}_{k2}' tmp_num = f'{k1}_{k2}'
if not 'str' in v2[0]: if not 'str' in v2[0]:
tmp_dict = {} tmp_dict = {}
tmp_dict['group'] = k1 tmp_dict['group'] = k1
tmp_dict['group_num'] = tmp_num tmp_dict['group_num'] = tmp_num
num_dict[tmp_num] = tmp_dict
tmp_dict.update(get_dtype_dict(v2[0], 'num')) tmp_dict.update(get_dtype_dict(v2[0], 'num'))
if v2[0] in ['int', 'dim']: if v2[0] in ['int', 'dim', 'dim readonly']:
tmp_dict['trex_json_int_type'] = v2[0] tmp_dict['trex_json_int_type'] = v2[0]
else: else:
tmp_dict['trex_json_int_type'] = '' tmp_dict['trex_json_int_type'] = ''
num_dict[tmp_num] = tmp_dict
return num_dict return num_dict
@ -775,7 +781,10 @@ def check_dim_consistency(num: dict, dset: dict) -> None:
if dim not in dim_tocheck: if dim not in dim_tocheck:
dim_tocheck.append(dim) dim_tocheck.append(dim)
num_onlyDim = [attr_name for attr_name, specs in num.items() if specs['trex_json_int_type']=='dim'] num_onlyDim = [
attr_name for attr_name, specs in num.items()
if 'dim' in specs['trex_json_int_type']
]
for dim in dim_tocheck: for dim in dim_tocheck:
if not dim in num_onlyDim: if not dim in num_onlyDim: