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#
# Bdpar provide a tool to easily build customized data flows to pre-process
# large volumes of information from different sources. To this end, bdpar allows
# to (i) easily use and create new functionalities and (ii) develop new data
# source extractors according to the user needs. Additionally, the package
# provides by default a predefined data flow to extract and preprocess the most
# relevant information (tokens, dates, ... ) from some textual sources (SMS,
# email, tweets, YouTube comments).
#
# Copyright (C) 2020-2022 Sing Group (University of Vigo)
#
# 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/gpl-3.0.html>
# Wrappers to adapt functions of ParallelLogger package to bdpar package.
#'
#'@include bdpar.log.R
#'
.clearLoggers <- function() {
settings <- .getLoggerSettings()
settings$loggers <- list()
.setLoggerSettings(settings)
}
.getLoggerSettings <- function() {
getOption("loggerSettings")
}
.setLoggerSettings <- function(settings) {
options(loggerSettings = settings)
}
.registerLogger <- function(logger) {
settings <- .getLoggerSettings()
settings$loggers[[length(settings$loggers) + 1]] <- logger
.setLoggerSettings(settings)
invisible(NULL)
}
.levelToInt <- function(level) {
if (level == "DEBUG")
return(2)
if (level == "INFO")
return(3)
if (level == "WARN")
return(4)
if (level == "ERROR")
return(5)
if (level == "FATAL")
return(6)
}
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