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loader.py
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loader.py
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# <loader.py>
#
# Functions to load data into memory.
#
# @Authors and Contributors:
# Lucas Pascotti Valem <[email protected]>
# João Gabriel Camacho Presotto <[email protected]>
# Nikolas Gomes de Sá <[email protected]>
# Daniel Carlos Guimarães Pedronette <[email protected]>
#
# ------------------------------------------------------------------------------
#
# This file is part of Weakly Supervised Experiments Framework (WSEF).
# Official Repository: https://github.com/UDLF/WSEF
#
# WSEF 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 2 of the License, or
# (at your option) any later version.
#
# WSEF 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 WSEF. If not, see <http://www.gnu.org/licenses/>.
#
# ------------------------------------------------------------------------------
def read_ranked_lists_file(file_path, top_k):
print("\t\t\tReading file", file_path)
with open(file_path, "r") as f:
return [[int(y) for y in x.strip().split(" ")][:top_k]
for x in f.readlines()]
def read_distance_matrix_file(file_path):
print("\t\t\tReading file", file_path)
with open(file_path, "r") as f:
return [[float(y) for y in x.strip().split(" ")]
for x in f.readlines()]
def read_training_and_test_set_indexes_mnist(file_path):
with open(file_path, "r") as handle:
test_indexes = []
training_indexes = []
i = 0
for lb in handle.readlines():
name = lb.split("_")[0]
if name == "training":
training_indexes.append(i)
elif name == "testing":
test_indexes.append(i)
i += 1
handle.close()
return training_indexes, test_indexes