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"""N-Gram module."""
"""
This program is free software: you can redistribute it and/or modify it under
the terms of the GNU General Public License as published by the Free Software
Foundation, either version 3 of the License, or (at your option) any later
version.
This program is distributed in the hope that it will be useful, but WITHOUT
ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with
this program. If not, see <https://www.gnu.org/licenses/>.
"""
__author__ = "Théo de la Hogue"
__credits__ = []
__copyright__ = "Copyright 2023, Ecole Nationale de l'Aviation Civile (ENAC)"
__license__ = "GPLv3"
from argaze import GazeFeatures, DataFeatures
class AOIScanPathAnalyzer(GazeFeatures.AOIScanPathAnalyzer):
"""Implementation of N-Gram algorithm as proposed in:
**Lounis C., Peysakhovich V., Causse M. (2021).**
*Visual scanning strategies in the cockpit are modulated by pilots’ expertise: A flight simulator study.*
PLoS ONE (16(2), 6).
[https://doi.org/10.1371/journal.pone.0247061](https://doi.org/10.1371/journal.pone.0247061)
"""
@DataFeatures.PipelineStepInit
def __init__(self, **kwargs):
# Init AOIScanPathAnalyzer class
super().__init__()
self.__n_min = 2
self.__n_max = 2
self.__ngrams_count = {}
@property
def n_min(self) -> int:
"""Minimal grams length to search."""
return self.__n_min
@n_min.setter
def n_min(self, n_min: int):
self.__n_min = n_min
@property
def n_max(self) -> int:
"""Maximal grams length to search."""
return self.__n_max
@n_max.setter
def n_max(self, n_max: int):
self.__n_max = n_max
@DataFeatures.PipelineStepMethod
def analyze(self, aoi_scan_path: GazeFeatures.AOIScanPath):
assert(len(aoi_scan_path) > 1)
sequence = aoi_scan_path.letter_sequence
self.__ngrams_count = {}
for n in range(self.n_min, self.n_max + 1):
ngrams = zip(*[sequence[i:] for i in range(n)])
ngrams = [ngram for ngram in ngrams]
self.__ngrams_count[n] = {tuple([aoi_scan_path.get_letter_aoi(l) for l in ngram]) : ngrams.count(ngram) for ngram in ngrams}
@property
def ngrams_count(self) -> dict:
"""N-Grams count."""
return self.__ngrams_count
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