Based on the outputs of the function for the last set of inputs, it seems that the function is not exclusive to concepts related to emotions. While the values for words like "democracy", "peace", and "war" are relatively low, the values for "war" and "elephant" are higher compared to other inputs. This suggests that the function might also have some degree of selectivity for concepts related to conflict or animals.

In summary, the function implemented in `function.py` appears to be selective for multiple concepts. It shows selectivity for emotional concepts, with different intensities for various emotions. Additionally, it also demonstrates selectivity for concepts related to conflict and animals. However, since these interpretations are based on a limited number of experiments, further testing and analysis is recommended to gain a deeper understanding of the function's behavior.

[DESCRIPTION]: The function implemented in `function.py` appears to measure the association of words with concepts related to emotions, with different intensities for various emotions. It also shows some degree of selectivity for concepts related to conflict and animals. Further testing and analysis is needed to fully understand the behavior of the function.