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function [gnssRaw,gnssAnalysis] = ReadGnssLogger(dirName,fileName,dataFilter,gnssAnalysis)
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%% [gnssRaw,gnssAnalysis]=ReadGnssLogger(dirName,fileName,dataFilter,gnssAnalysis);
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% Read the log file created by Gnss Logger App in Android
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% Compatible with Android release N
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%
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% Input:
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% dirName = string with directory of fileName,
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% e.g. '~/Documents/MATLAB/Pseudoranges/2016-03-28'
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% fileName = string with filename
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% dataFilter = nx2 cell array of pairs of strings,
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% dataFilter{i,1} is a string with one of 'Raw' header values from the
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% GnssLogger log file e.g. 'ConstellationType'
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% dataFilter{i,2} is a string with a valid matlab expression, containing
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% the header value, e.g. 'ConstellationType==1'
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% See SetDataFilter.m for full rules and examples of dataFilter.
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%
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% Output:
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% gnssRaw, all GnssClock and GnssMeasurement fields from log file, including:
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% .TimeNanos (int64)
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% .FullBiasNanos (int64)
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% ...
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% .Svid
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% .ReceivedSvTimeNanos (int64)
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% .PseudorangeRateMetersPerSecond
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% ...
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% and data fields created by this function:
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% .allRxMillis (int64), full cycle time of measurement (milliseconds)
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% accurate to one millisecond, it is convenient for matching up time
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% tags. For computing accurate location, etc, you must still use
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% TimeNanos and gnssMeas.tRxSeconds
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%
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% gnssAnalysis, structure containing analysis, including list of missing fields
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%
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% see also: SetDataFilter, ProcessGnssMeas
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%Author: Frank van Diggelen
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%Open Source code for processing Android GNSS Measurements
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%factored into a few main sub-functions:
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% MakeCsv()
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% ReadRawCsv()
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% FilterData()
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% PackGnssRaw()
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% CheckGnssClock()
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% ReportMissingFields()
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%% Initialize outputs and inputs
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gnssAnalysis.GnssClockErrors = 'GnssClock Errors.';
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gnssAnalysis.GnssMeasurementErrors = 'GnssMeasurement Errors.';
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gnssAnalysis.ApiPassFail = '';
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if nargin<3, dataFilter = []; end
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%% check we have the right kind of fileName
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extension = fileName(end-3:end);
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if ~any(strcmp(extension,{'.txt','.csv'}))
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error('Expecting file name of the form "*.txt", or "*.csv"');
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end
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%% read log file into a numeric matrix 'S', and a cell array 'header'
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rawCsvFile = MakeCsv(dirName,fileName);
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[header,C] = ReadRawCsv(rawCsvFile);
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%% apply dataFilter
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[bOk] = CheckDataFilter(dataFilter,header);
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if ~bOk, return, end
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C = FilterData(C,dataFilter,header);
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%% pack data into gnssRaw structure
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[gnssRaw,missing] = PackGnssRaw(C,header);
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%% check clock and measurements
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[gnssRaw,gnssAnalysis] = CheckGnssClock(gnssRaw,gnssAnalysis);
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gnssAnalysis = ReportMissingFields(gnssAnalysis,missing);
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end %end of function ReadGnssLogger
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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function csvFileName = MakeCsv(dirName,fileName)
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%% make csv file, if necessary.
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%And return extended csv file name (i.e. with full path in the name)
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%TBD, maybe, do this entirely with Matlab read/write functions, make independent
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%from grep and sed
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%make extended file name
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if dirName(end)~='/'
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dirName = [dirName,'/']; %add /
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end
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csvFileName = [dirName,'raw.csv'];
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if strcmp(fileName(end-3:end),'.csv')
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return %input file is a csv file, nothing more to do here
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end
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extendedFileName = [dirName,fileName];
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fprintf('\nReading file %s\n',extendedFileName)
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%% read version
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txtfileID = fopen(extendedFileName,'r');
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if txtfileID<0
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error('file ''%s'' not found',extendedFileName);
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end
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line='';
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while isempty(strfind(lower(line),'version'))
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line = fgetl(txtfileID);
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if ~ischar(line) %eof or error occurred
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if isempty(line)
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error('\nError occurred while reading file %s\n',fileName)
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end
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break
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end
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end
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if line==-1
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fprintf('\nCould not find "Version" in input file %s\n',fileName)
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return
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end
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%look for the beginning of the version number, e.g. 1.4.0.0
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iDigits = regexp(line,'\d'); %index into the first number found in line
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v = sscanf(line(iDigits(1):end),'%d.%d.%d.%d',4);
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if length(v)<4
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v(end+1:4,1)=0; %make v into a length 4 column vector
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end
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%Now extract the platform
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k = strfind(line,'Platform:');
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if any(k)
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sPlatform = line(k+9:end);
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else
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sPlatform = '';%set empty if 'Platform:' not found
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end
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if isempty(strfind(sPlatform,'N'))
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%add || strfind(platform,'O') and so on for future platforms
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fprintf('\nThis version of ReadGnssLogger supports Android N\n')
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error('Found "%s" in log file, expected "Platform: N"',line)
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end
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v1 = [1;4;0;0];
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sCompare = CompareVersions(v,v1);
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%Note, we need to check both the logger version (e.g. v1.0.0.0) and the
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%Platform version "e.g. Platform: N" for any logic based on version
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if strcmp(sCompare,'before')
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fprintf('\nThis version of ReadGnssLogger supports v1.4.0.0 onwards\n')
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error('Found "%s" in log file',line)
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end
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%% write csv file with header and numbers
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%We could use grep and sed to make a csv file
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%fclose(txtfileID);
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% system(['grep -e ''Raw,'' ',extendedFileName,...
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% ' | sed -e ''s/true/1/'' -e ''s/false/0/'' -e ''s/# //'' ',...
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% ' -e ''s/Raw,//'' ',... %replace "Raw," with nothing
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% '-e ''s/(//g'' -e ''s/)//g'' > ',csvFileName]);
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%
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% On versions from v1.4.0.0 N:
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% grep on "Raw," replace alpha characters amongst the numbers,
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% remove parentheses in the header,
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% note use of /g for "global" so sed acts on every occurrence in each line
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% csv file "prs.csv" now contains a header row followed by numerical data
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%
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%But we'll do the same thing using Matlab, so people don't need grep/sed:
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csvfileID = fopen(csvFileName,'w');
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while ischar(line)
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line = fgetl(txtfileID);
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if isempty(strfind(line,'Raw,'))
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continue %skip to next line
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end
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%Now 'line' contains the raw measurements header or data
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line = strrep(line,'Raw,','');
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line = strrep(line,'#',''); line = strrep(line,' ','');%remove '#' and spaces
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%from versions v1.4.0.0 N we actually dont need to look for '(',')','true'
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%or 'false' anymore. So we are done with replacing. That was easy.
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fprintf(csvfileID,'%s\n',line);
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end
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fclose(txtfileID);
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fclose(csvfileID);
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if isempty(line) %line should be -1 at eof
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error('\nError occurred while reading file %s\n',fileName)
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end
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end %end of function MakeCsv
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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function [header,C] = ReadRawCsv(rawCsvFile)
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%% read data from csv file into a numerical matrix 'S' and cell array 'header'
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S = csvread(rawCsvFile,1,0);%read numerical data from second row onwards
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%Note csvread fills ,, with zero, so we will need a lower level read function to
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%tell the difference between empty fields and valid zeros
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%T = readtable(csvFileName,'FileType','text'); %use this to debug
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%read header row:
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fid = fopen(rawCsvFile);
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if fid<0
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error('file ''%s'' not found',rawCsvFile);
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end
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headerString = fgetl(fid);
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if isempty(strfind(headerString,'TimeNanos'))
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error('\n"TimeNanos" string not found in file %s\n',fileName)
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end
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header=textscan(headerString,'%s','Delimiter',',');
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header = header{1}; %this makes header a numFieldsx1 cell array
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numFields = size(header,1);
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%check that numFields == size(S,2)
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[~,M] = size(S); %M = number of columns
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assert(numFields==M,...
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'# of header names is different from # of columns of numerical data')
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%read lines using formatSpec so we get TimeNanos and FullBiasNanos as
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%int64, everything else as doubles, and empty values as NaN
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formatSpec='';
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for i=1:M
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%lotsa || here, because we are comparing a vector, 'header'
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%to a specific string each time. Not sure how to do this another way
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%and still be able to easily read and debug. Better safe than too clever.
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%longs
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if i == find(strcmp(header,'TimeNanos')) || ...
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i == find(strcmp(header,'FullBiasNanos')) || ...
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i == find(strcmp(header,'ReceivedSvTimeNanos')) || ...
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i == find(strcmp(header,'ReceivedSvTimeUncertaintyNanos')) || ...
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i == find(strcmp(header,'CarrierCycles'))
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formatSpec = sprintf('%s %%d64',formatSpec);
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elseif 0
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%ints
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% TBD maybe %d32 for ints: AccumulatedDeltaRangeState, ...
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% ConstellationType, MultipathIndicator, State, Svid
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formatSpec = sprintf('%s %%d32',formatSpec);
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else
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%everything else doubles
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formatSpec = sprintf('%s %%f',formatSpec);
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end
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end
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%for empty fields, enter 'NaN' into csv
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C = textscan(fid,formatSpec,'Delimiter',',','EmptyValue',NaN);
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fclose(fid);
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end% of function ReadRawCsv
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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function C = FilterData(C,dataFilter,header)
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%% filter C based on contents of dataFilter
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iS = ones(size(C{1})); %initialize index into rows of C
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for i=1:size(dataFilter,1)
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j=find(strcmp(header,dataFilter{i,1}));%j = index into header
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%we should always be a value of j, because checkDataFilter checks for this:
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assert(any(j),'dataFilter{i} = %s not found in header\n',dataFilter{i,1})
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%now we must evaluate the expression in dataFilter{i,2}, for example:
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% 'BiasUncertaintyNanos < 1e7'
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%assign the relevant cell of C to a variable with same name as the header
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ts = sprintf('%s = C{%d};',header{j},j);
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eval(ts);
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%create an index vector from the expression in dataFilter{i,2}
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ts = sprintf('iSi = %s;',dataFilter{i,2});
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eval(ts);
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%AND the iS index values on each iteration of i
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iS = iS & iSi;
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end
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% Check if filter removes all values
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if ~any(iS) %if all zeros
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fprintf('\nAll measurements removed. Specify dataFilter less strictly than this:, ')
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dataFilter(:,2)
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return
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end
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% Keep only those values of C indexed by iS
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for i=1:length(C)
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C{i} = C{i}(iS);
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end
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end %end of function FilterDataS
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%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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function [gnssRaw,missing] = PackGnssRaw(C,header)
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%% pack data into gnssRaw, and report missing fields
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assert(length(C)==length(header),...
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'length(C) ~= length(header). This should have been checked before here')
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gnssRaw = [];
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%report clock fields present/missing, based on:
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gnssClockFields = {...
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'TimeNanos'
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'TimeUncertaintyNanos'
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'LeapSecond'
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'FullBiasNanos'
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'BiasUncertaintyNanos'
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'DriftNanosPerSecond'
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'DriftUncertaintyNanosPerSecond'
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'HardwareClockDiscontinuityCount'
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'BiasNanos'
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};
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missing.ClockFields = {};
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%report measurements fields present/missing, based on:
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|
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gnssMeasurementFields = {...
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'Cn0DbHz'
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'ConstellationType'
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'MultipathIndicator'
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'PseudorangeRateMetersPerSecond'
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'PseudorangeRateUncertaintyMetersPerSecond'
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'ReceivedSvTimeNanos'
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'ReceivedSvTimeUncertaintyNanos'
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'State'
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'Svid'
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'AccumulatedDeltaRangeMeters'
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'AccumulatedDeltaRangeUncertaintyMeters'
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};
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%leave these out for now, 'cause we dont care (for now), or they're deprecated,
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% or they could legitimately be left out (because they are not computed in
|
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|
% a particular GNSS implementation)
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% SnrInDb, TimeOffsetNanos, CarrierFrequencyHz, CarrierCycles, CarrierPhase,
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|
|
% CarrierPhaseUncertainty
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|
missing.MeasurementFields = {};
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|
|
%pack data into vector variables, if the fields are not NaNs
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for j = 1:length(header)
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if any(isfinite(C{j})) %not all NaNs
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%TBD what if there are some NaNs, but not all. i.e. some missing
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|
%data in the log file - TBD deal with this
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|
|
eval(['gnssRaw.',header{j}, '=C{j};']);
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|
|
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elseif any(strcmp(header{j},gnssClockFields))
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|
|
|
missing.ClockFields{end+1} = header{j};
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|
elseif any(strcmp(header{j},gnssMeasurementFields))
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|
|
|
missing.MeasurementFields{end+1} = header{j};
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|
|
|
end
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|
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|
end
|
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|
|
|
%So, if a field is not reported, it will be all NaNs from makeCsv, and the above
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|
|
|
%code will not load it into gnssRaw. So when we call 'CheckGnssClock' it can
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|
|
|
%check for missing fields in gnssRaw.
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|
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|
|
%TBD look for all zeros that can not legitimately be all zero,
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|
%e.g. AccumulatedDeltaRangeMeters, and report these as missing data
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|
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|
end %end of function PackGnssRaw
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|
|
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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|
|
|
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|
|
|
|
function [gnssRaw,gnssAnalysis,bOk] = CheckGnssClock(gnssRaw,gnssAnalysis)
|
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|
|
|
%% check clock values in gnssRaw
|
|
|
|
|
bOk = true;
|
|
|
|
|
sFail = ''; %initialize string to record failure messafes
|
|
|
|
|
N = length(gnssRaw.ReceivedSvTimeNanos);
|
|
|
|
|
%Insist on the presence of TimeNanos (time from hw clock)
|
|
|
|
|
if ~isfield(gnssRaw,'TimeNanos')
|
|
|
|
|
s = ' TimeNanos missing from GnssLogger File.';
|
|
|
|
|
fprintf('WARNING: %s\n',s);
|
|
|
|
|
sFail = [sFail,s];
|
|
|
|
|
bOk = false;
|
|
|
|
|
end
|
|
|
|
|
if ~isfield(gnssRaw,'FullBiasNanos')
|
|
|
|
|
s = 'FullBiasNanos missing from GnssLogger file.';
|
|
|
|
|
fprintf('WARNING: %s, we need it to get the week number\n',s);
|
|
|
|
|
sFail = [sFail,s];
|
|
|
|
|
bOk = false;
|
|
|
|
|
end
|
|
|
|
|
if ~isfield(gnssRaw,'BiasNanos')
|
|
|
|
|
gnssRaw.BiasNanos = zeros(N,1);
|
|
|
|
|
end
|
|
|
|
|
if ~isfield(gnssRaw,'HardwareClockDiscontinuityCount')
|
|
|
|
|
%possibly non fatal error, we assume there is no hardware clock discontinuity
|
|
|
|
|
%so we set to zero and move on, but we print a warning
|
|
|
|
|
gnssRaw.HardwareClockDiscontinuityCount = zeros(N,1);
|
|
|
|
|
fprintf('WARNING: Added HardwareClockDiscontinuityCount=0 because it is missing from GNSS Logger file\n');
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
%check FullBiasNanos, it should be negative values
|
|
|
|
|
bChangeSign = any(gnssRaw.FullBiasNanos<0) & any(gnssRaw.FullBiasNanos>0);
|
|
|
|
|
assert(~bChangeSign,...
|
|
|
|
|
'FullBiasNanos changes sign within log file, this should never happen');
|
|
|
|
|
%Now we know FullBiasNanos doesnt change sign,auto-detect sign of FullBiasNanos,
|
|
|
|
|
%if it is positive, give warning and change
|
|
|
|
|
if any(gnssRaw.FullBiasNanos>0)
|
|
|
|
|
gnssRaw.FullBiasNanos = -1*gnssRaw.FullBiasNanos;
|
|
|
|
|
fprintf('WARNING: FullBiasNanos wrong sign. Should be negative. Auto changing inside ReadGpsLogger\n');
|
|
|
|
|
gnssAnalysis.GnssClockErrors = [gnssAnalysis.GnssClockErrors,...
|
|
|
|
|
sprintf(' FullBiasNanos wrong sign.')];
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
%compute full cycle time of measurement, in milliseonds
|
|
|
|
|
gnssRaw.allRxMillis = int64((gnssRaw.TimeNanos - gnssRaw.FullBiasNanos)*1e-6);
|
|
|
|
|
%allRxMillis is now accurate to one millisecond (because it's an integer)
|
|
|
|
|
|
|
|
|
|
if ~bOk
|
|
|
|
|
gnssAnalysis.ApiPassFail = ['FAIL ',sFail];
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
end %end of function CheckGnssClock
|
|
|
|
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
|
|
|
|
|
|
function gnssAnalysis = ReportMissingFields(gnssAnalysis,missing)
|
|
|
|
|
%% report missing clock and measurement fields in gnssAnalysis
|
|
|
|
|
|
|
|
|
|
%report missing clock fields
|
|
|
|
|
if ~isempty(missing.ClockFields)
|
|
|
|
|
gnssAnalysis.GnssClockErrors = sprintf(...
|
|
|
|
|
'%s Missing Fields:',gnssAnalysis.GnssClockErrors);
|
|
|
|
|
for i=1:length(missing.ClockFields)
|
|
|
|
|
gnssAnalysis.GnssClockErrors = sprintf(...
|
|
|
|
|
'%s %s,',gnssAnalysis.GnssClockErrors,missing.ClockFields{i});
|
|
|
|
|
end
|
|
|
|
|
gnssAnalysis.GnssClockErrors(end) = '.';%replace final comma with period
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
%report missing measurement fields
|
|
|
|
|
if ~isempty(missing.MeasurementFields)
|
|
|
|
|
gnssAnalysis.GnssMeasurementErrors = sprintf(...
|
|
|
|
|
'%s Missing Fields:',gnssAnalysis.GnssMeasurementErrors);
|
|
|
|
|
for i=1:length(missing.MeasurementFields)
|
|
|
|
|
gnssAnalysis.GnssMeasurementErrors = sprintf(...
|
|
|
|
|
'%s %s,',gnssAnalysis.GnssMeasurementErrors,...
|
|
|
|
|
missing.MeasurementFields{i});
|
|
|
|
|
end
|
|
|
|
|
gnssAnalysis.GnssMeasurementErrors(end) = '.';%replace last comma with period
|
|
|
|
|
end
|
|
|
|
|
|
|
|
|
|
%assign pass/fail
|
|
|
|
|
if ~any(strfind(gnssAnalysis.ApiPassFail,'FAIL')) %didn't already fail
|
|
|
|
|
if isempty(missing.ClockFields) && isempty(missing.MeasurementFields)
|
|
|
|
|
gnssAnalysis.ApiPassFail = 'PASS';
|
|
|
|
|
else
|
|
|
|
|
gnssAnalysis.ApiPassFail = 'FAIL BECAUSE OF MISSING FIELDS';
|
|
|
|
|
end
|
|
|
|
|
end
|
|
|
|
|
end %end of function ReportMissingFields
|
|
|
|
|
%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
|
|
|
|
|
|
|
|
|
|
% Copyright 2016 Google Inc.
|
|
|
|
|
%
|
|
|
|
|
% Licensed under the Apache License, Version 2.0 (the "License");
|
|
|
|
|
% you may not use this file except in compliance with the License.
|
|
|
|
|
% You may obtain a copy of the License at
|
|
|
|
|
%
|
|
|
|
|
% http://www.apache.org/licenses/LICENSE-2.0
|
|
|
|
|
%
|
|
|
|
|
% Unless required by applicable law or agreed to in writing, software
|
|
|
|
|
% distributed under the License is distributed on an "AS IS" BASIS,
|
|
|
|
|
% WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
|
|
|
% See the License for the specific language governing permissions and
|
|
|
|
|
% limitations under the License.
|