import json from os import listdir from os.path import isfile, join with open('../trex.json', 'r') as f: config0 = json.load(f) print('Metadata I/O currently not supported') # TODO, for now remove metadata-related stuff del config0['metadata'] config = {} for k,v in config0.items(): if k == 'nucleus' or k == 'ecp': config[k] = v #print(config) groups = [group for group in config.keys()] dim_variables = {} dim_list = [] dim_dict = {} for k1,v1 in config.items(): grname = k1 for v2 in v1.values(): for dim in v2[1]: if not dim.isdigit(): tmp = dim.replace('.','_') dim_variables[tmp] = 0 if dim not in dim_list: dim_list.append(tmp) dim_dict[grname] = dim_list dim_list = [] print(dim_variables) #print(dim_dict) datasets = {} numbers = {} for k1,v1 in config.items(): for k2,v2 in v1.items(): if len(v2[1]) > 0: datasets[f'{k1}_{k2}'] = v2 else: var_name = f'{k1}_{k2}' if var_name not in dim_variables.keys(): numbers[var_name] = v2[0] print('Strings I/O currently not supported') # TODO, for now remove char-related stuff datasets_nostr = {} for k,v in datasets.items(): if 'char' not in v[0]: datasets_nostr[k] = v #print(datasets_nostr) #print(numbers) #print(attributes) #print(groups) #file_list = ['temp_trexio_hdf5.c'] file_list = [] temp_path = 'templates_hdf5' files_exclude = ['prefix_hdf5.c', 'prefix_hdf5.h', 'suffix_hdf5.h', 'templator_hdf5.org'] files = [f for f in listdir(temp_path) if isfile(join(temp_path, f)) and f not in files_exclude] #print(files) files_funcs = [f for f in files if 'read_' in f or 'write_' in f or 'rw_' in f ] files_auxil = [f for f in files if not ('read_' in f or 'write_' in f or 'rw_' in f)] print(files_auxil) # build files with $group$ only for fname in ['basic_hdf5.c', 'struct_hdf5.h']: fname_new = 'populated/pop_' + fname with open(f'{temp_path}/{fname}', 'r') as f_in: with open(f'{temp_path}/{fname_new}', 'w') as f_out: for line in f_in: if '$group$' in line or '$GROUP$' in line: for grname in config.keys(): templine1 = line.replace('$group$', grname) templine2 = templine1.replace('$GROUP$', grname.upper()) #templine1 = templine2.replace('$GROUP_NUM$', dim.upper()) #templine2 = templine1.replace('$group_num$', dim) #templine1 = templine2.replace('$GROUP_DSET$', '') #templine2 = templine1.replace('$group_dset$', '') f_out.write(templine2) else: f_out.write(line) # build files with $group$ and $group$-based for fname in ['def_hdf5.c'] : fname_new = 'populated/pop_' + fname with open(f'{temp_path}/{fname}', 'r') as f_in : with open(f'{temp_path}/{fname_new}', 'w') as f_out : for line in f_in : if '$group_dset$' in line or '$GROUP_DSET$' in line : for dset in datasets_nostr.keys(): templine1 = line.replace('$GROUP$_$GROUP_DSET$', dset.upper()) templine2 = templine1.replace('$group_dset$', dset) f_out.write(templine2) elif '$group_num$' in line or '$GROUP_NUM$' in line : for num in dim_variables.keys(): templine1 = line.replace('$GROUP_NUM$', num.upper()) templine2 = templine1.replace('$group_num$', num) f_out.write(templine2) elif '$group$' in line or '$GROUP$' in line : for grname in config.keys(): templine1 = line.replace('$group$', grname) templine2 = templine1.replace('$GROUP$', grname.upper()) f_out.write(templine2) else: f_out.write(line)