iode.Tables.compare

Tables.compare(filepath: str | Path, only_in_workspace_list_name: str = None, only_in_file_list_name: str = None, equal_objects_list_name: str = None, different_objects_list_name: str = None) → Dict[str, List[str]]

The objects of the current database are compared with those stored in the file filepath.

The result of this comparison is composed of 4 lists:

  • only_in_workspace_list: objects only found in the current database

  • only_in_file_list: objects only found in the file filepath

  • equal_objects_list: objects found in both with the same value

  • different_objects_list: objects found in both but with a different value

The comparison is made according to current database type.

For the IODE Variables, the comparison between two variables is made according to the threshold defined by iode.Variables.threshold().

Parameters:
filepath: str or Path

path to the file to be compared with the current database

only_in_workspace_list_name: str, optional

name of the list of objects only found in the current database. Defaults to “OLD_<IODE_TYPE>”.

only_in_file_list_name: str, optional

name of the list of objects only found in the file filepath. Defaults to “NEW_<IODE_TYPE>”.

equal_objects_list_name: str, optional
name of the list of objects found in both with the same value.

Defaults to “SAME_<IODE_TYPE>”.

different_objects_list_name: str, optional

name of the list of objects found in both but with a different value. Defaults to “CHANGED_<IODE_TYPE>”.

Returns:
dict(str, list(str))

dictionary containing the 4 lists of objects

Examples

>>> import numpy as np
>>> from iode import SAMPLE_DATA_DIR
>>> from iode import variables
>>> output_dir = getfixture('tmp_path')

>>> variables.load(f"{SAMPLE_DATA_DIR}/fun.var")
Loading ...fun.var
394 objects loaded
>>> variables.threshold
1e-07

>>> # ---- create Variables file to compare with ----
>>> vars_other_filepath = str(output_dir / "fun_other.var")
>>> vars_other = variables.copy()
>>> # add two variables
>>> vars_other["NEW_VAR"] = 0.0
>>> vars_other["NEW_VAR_2"] = 0.0
>>> # delete two variables
>>> del vars_other["AOUC"]
>>> del vars_other["AQC"]
>>> # change the value of two variables (above threshold)
>>> vars_other["ACAF"] = "ACAF + 1.e-5"
>>> vars_other["ACAG"] = "ACAG + 1.e-5"
>>> # change the value of two variables (below threshold)
>>> vars_other["BENEF"] = "BENEF + 1.e-8"
>>> vars_other["BQY"] = "BQY + 1.e-8"
>>> # save the Variables file to compare with
>>> vars_other.save(vars_other_filepath)
Saving fun_other.var
394 objects saved

>>> # ---- compare the current Variables database ----
>>> # ---- with the content of the saved file     ----
>>> lists_compare = variables.compare(vars_other_filepath)
Loading ...fun_other.var
394 objects loaded
>>> for name, value in lists_compare.items():
...    print(f"{name}: {value}")
OLD_VAR: ['AOUC', 'AQC']
NEW_VAR: ['NEW_VAR', 'NEW_VAR_2']
SAME_VAR: ['AOUC_', 'BENEF', 'BQY', 'BRUGP', ..., 'ZKFO', 'ZX', 'ZZF_'] 
CHANGED_VAR: ['ACAF', 'ACAG']