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Reading Humdrum data Humdrum data can be loaded into the HumdrumFile class in several ways, either from a file or parsed from a text string. In addition, CSV variants of Humdrum files can be loaded directly into the HumdrumFile class, as well as HumdrumXML files in the future.

Reading from a file

Data can be read through the HumdrumFile constructors. Either pass a string containing a filename to read, or an istream to read a previously opened file (or to read from a stringstream).
Reading from filename: 
#include "humlib.h"
using namespace Humdrum;
using namespace std;

int main(void) {
	HumdrumFile infile("file.krn");
	cout << infile;
	return 0;
}
 Reading from istream: 
#include "humlib.h"
using namespace Humdrum;
using namespace std;

int main(void) {
	ifstream instream;
	instream.open("file.krn");
	HumdrumFile infile(instream);
	cout << infile;
	return 0;
}
The `using namespace` lines at the start of the file allow use of functions and classes in the humlib library to be used without their full namespace scope. Here is what the code will look like without such shorthands: ```cpp #include "humlib.h" int main(void) { humlib::HumdrumFile infile("file.krn"); std::cout << infile; return 0; } ``` When loading invalid HumdrumData, error messages will be sent to the console. You can check that there were no errors when parsing the Humdrum file contents, by calling the HumdrumFileBase::isValid function after reading data. ```cpp #include "humlib.h" using namespace Humdrum; using namespace std; int main(void) { HumdrumFile infile("file.krn"); if (infile.isValid()) { cout << infile; } else { cout << "Error reading file.krn" << endl; exit(1); } return 0; } ``` In addition to initializing the contents of a HumdrumFile through a constructor, data can be read after the object has been created.
Reading from filename: 
#include "humlib.h"
using namespace Humdrum;
using namespace std;

int main(void) {
	HumdrumFile infile;
	infile.read("file.krn");
	cout << infile;
	return 0;
}
 Reading from istream: 
#include "humlib.h"
using namespace Humdrum;
using namespace std;

int main(void) {
	HumdrumFile infile;
	ifstream instream;
	instream.open("file.krn");
	infile.read(instream);
	cout << infile;
	return 0;
}
This allows the object to be filled multiple times. ```cpp #include "humlib.h" using namespace Humdrum; using namespace std; int main(void) { HumdrumFile infile; ifstream instream; instream.open("file.krn"); infile.read(instream); cout << infile; infile.read("file2.krn"); cout << infile; return 0; } ```

Handling parsing errors

By default reading incorrectly formatted data will cause an error message to be sent to standard error. To suppress these messages, the HumdrumFileBase::setQuietParsing can be called anytime before parsing the data. This will prevent the error message from being sent to standard error. The function HumdrumFileBase::setNoisyParsing will return the error reporting method back to the default behavior. After data has been read, the object can be checked for errors by calling the HumdrumFileBase::isValid. This function will return true if there was no parsing error generated while reading the data; otherwise, false will be returned. If data is read in quiet mode, the resulting parse error can be displayed by calling the HumdrumFileBase::getParseError function as illustrated in the following program: ```cpp #include "humlib.h" using namespace Humdrum; using namespace std; int main(void) { HumdrumFile infile; infile.setQuietParsing(); infile.read("file.krn"); if (infile.isValid()) { cout << infile; } else { cout << infile.getParseError() << endl; } return 0; } ```

Reading from a file without parsing rhythms

The default reading methods parse the rhythmic structure of a score. If the Humdrum data does not contain rhythmic spines or contains known irregularities in the rhythmic syntax, use HumdrumFileStructure::readNoRhythm instead. ```cpp #include "humlib.h" using namespace Humdrum; using namespace std; int main(void) { HumdrumFile infile; infile.readNoRhythm("file.krn"); out << infile; return 0; } ```

Reading from a string

Reading CSV