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[WIP] adapt generator for string attributes [front,hdf5]
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@ -19,6 +19,7 @@ print('Strings I/O currently not supported')
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# -------------------- GET ATTRIBUTES FROM THE CONFIGURATION ---------------- #
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group_dict = get_group_dict(trex_config)
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detailed_nums = get_detailed_num_dict(trex_config)
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detailed_strs = get_detailed_str_dict(trex_config)
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# helper dictionaries that contain names of groups, nums or dsets as keys
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dsets = get_dset_dict(trex_config)
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detailed_dsets_nostr, detailed_dsets_str = split_dset_dict_detailed(dsets)
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@ -42,12 +43,16 @@ files_todo = get_files_todo(source_files)
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# populate files with iterative scheme, i.e. for unique functions
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for fname in files_todo['auxiliary']:
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iterative_populate_file(fname, template_paths, group_dict, detailed_dsets, detailed_nums)
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iterative_populate_file(fname, template_paths, group_dict, detailed_dsets, detailed_nums, detailed_strs)
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# populate has/read/write_num functions with recursive scheme
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for fname in files_todo['num']:
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recursive_populate_file(fname, template_paths, detailed_nums)
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# populate has/read/write_str functions with recursive scheme
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for fname in files_todo['attr_str']:
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recursive_populate_file(fname, template_paths, detailed_strs)
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# populate has/read/write_dset (numerical) functions with recursive scheme
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for fname in files_todo['dset_data']:
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recursive_populate_file(fname, template_paths, detailed_dsets_nostr)
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@ -39,7 +39,7 @@ def get_files_todo(source_files: dict) -> dict:
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files_todo = {}
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#files_todo['all'] = list(filter(lambda x: 'read' in x or 'write' in x or 'has' in x or 'hrw' in x or 'flush' in x or 'free' in x, all_files))
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files_todo['all'] = [f for f in all_files if 'read' in f or 'write' in f or 'has' in f or 'flush' in f or 'free' in f or 'hrw' in f]
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for key in ['dset_data', 'dset_str', 'num', 'group']:
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for key in ['dset_data', 'dset_str', 'num', 'attr_str', 'group']:
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files_todo[key] = list(filter(lambda x: key in x, files_todo['all']))
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files_todo['group'].append('struct_text_group_dset.h')
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@ -104,7 +104,7 @@ def recursive_populate_file(fname: str, paths: dict, detailed_source: dict) -> N
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'group_dset_f_dtype_default', 'group_dset_f_dtype_double', 'group_dset_f_dtype_single',
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'group_dset_dtype_default', 'group_dset_dtype_double', 'group_dset_dtype_single',
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'group_dset_rank', 'group_dset_dim_list', 'group_dset_f_dims',
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'group_dset', 'group_num', 'group']
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'group_dset', 'group_num', 'group_str', 'group']
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for item in detailed_source.keys():
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with open(join(templ_path,fname), 'r') as f_in :
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@ -168,7 +168,7 @@ def recursive_replace_line (input_line: str, triggers: list, source: dict) -> st
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return output_line
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def iterative_populate_file (filename: str, paths: dict, groups: dict, datasets: dict, numbers: dict) -> None:
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def iterative_populate_file (filename: str, paths: dict, groups: dict, datasets: dict, numbers: dict, strings: dict) -> None:
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"""
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Iteratively populate files with unique functions that contain templated variables.
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@ -178,12 +178,13 @@ def iterative_populate_file (filename: str, paths: dict, groups: dict, datasets:
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groups (dict) : dictionary of groups
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datasets (dict) : dictionary of datasets with substitution details
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numbers (dict) : dictionary of numbers with substitution details
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strings (dict) : dictionary of strings with substitution details
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Returns:
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None
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"""
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add_trigger = 'rc = trexio_text_free_$group$'
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triggers = [add_trigger, '$group_dset$', '$group_num$', '$group$']
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triggers = [add_trigger, '$group_dset$', '$group_num$', '$group_str$', '$group$']
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templ_path = get_template_path(filename, paths)
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filename_out = join('populated',f'pop_{filename}')
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@ -197,7 +198,7 @@ def iterative_populate_file (filename: str, paths: dict, groups: dict, datasets:
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if id == 0:
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# special case for proper error handling when deallocting text groups
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error_handler = ' if (rc != TREXIO_SUCCESS) return rc;\n'
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populated_line = iterative_replace_line(line, triggers[3], groups, add_line=error_handler)
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populated_line = iterative_replace_line(line, '$group$', groups, add_line=error_handler)
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f_out.write(populated_line)
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elif id == 1:
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populated_line = iterative_replace_line(line, triggers[id], datasets, None)
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@ -206,6 +207,9 @@ def iterative_populate_file (filename: str, paths: dict, groups: dict, datasets:
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populated_line = iterative_replace_line(line, triggers[id], numbers, None)
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f_out.write(populated_line)
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elif id == 3:
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populated_line = iterative_replace_line(line, triggers[id], strings, None)
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f_out.write(populated_line)
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elif id == 4:
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populated_line = iterative_replace_line(line, triggers[id], groups, None)
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f_out.write(populated_line)
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else:
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@ -420,6 +424,31 @@ def get_detailed_num_dict (configuration: dict) -> dict:
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return num_dict
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def get_detailed_str_dict (configuration: dict) -> dict:
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"""
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Returns the dictionary of all `str`-like attributes.
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Keys are names, values are subdictionaries containing corresponding group and group_str names.
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Parameters:
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configuration (dict) : configuration from `trex.json`
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Returns:
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str_dict (dict) : dictionary of string attributes
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"""
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str_dict = {}
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for k1,v1 in configuration.items():
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for k2,v2 in v1.items():
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if len(v2[1]) == 0:
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tmp_str = f'{k1}_{k2}'
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if 'str' in v2[0]:
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tmp_dict = {}
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tmp_dict['group'] = k1
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tmp_dict['group_str'] = tmp_str
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str_dict[tmp_str] = tmp_dict
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return str_dict
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def get_dset_dict (configuration: dict) -> dict:
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"""
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Returns the dictionary of datasets.
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