pymchelper.input_output module

pymchelper.input_output.convertfromlist(filelist, error, nan, outputdir, converter_name, options, outputfile=None)

Parameters:

• filelist –
• error – error estimation, see class ErrorEstimate class in pymchelper.estimator
• nan – if True, NaN (not a number) are excluded when averaing data.
• outputdir –
• converter_name –
• options –
• outputfile –

Returns:

pymchelper.input_output.convertfrompattern(pattern, outputdir, converter_name, options, error=<ErrorEstimate.stderr: 1>, nan=True, jobs=-1, verbose=0)

Parameters:

• pattern –
• outputdir –
• converter_name –
• options –
• error – error estimation, see class ErrorEstimate class in pymchelper.estimator
• nan – if True, NaN (not a number) are excluded when averaing data.
• jobs –
• verbose –

Returns:

pymchelper.input_output.fromfile(filename)

Read estimator data from a binary file `filename`

pymchelper.input_output.fromfilelist(input_file_list, error=<ErrorEstimate.stderr: 1>, nan=True)

Reads all files from a given list, and returns a list of averaged estimators.

Parameters:

• input_file_list – list of files to be read
• error – error estimation, see class ErrorEstimate class in pymchelper.estimator
• nan – if True, NaN (not a number) are excluded when averaging data.

Returns:

list of estimators

pymchelper.input_output.frompattern(pattern, error=<ErrorEstimate.stderr: 1>, nan=True, jobs=-1, verbose=0)

Reads all files matching pattern, e.g.: ‘foobar_*.bdo’, and returns a list of averaged estimators.

Parameters:

• pattern – pattern to be matched for reading.
• error – error estimation, see class ErrorEstimate class in pymchelper.estimator
• nan – if True, NaN (not a number) are excluded when averaing data.
• jobs – optional number of threads for parallel processing
• verbose – optional verbosity level.

Returns:

a list of estimators, or an empty list if no files were found.

pymchelper.input_output.group_input_files(input_file_list)

Takes set of input file names, belonging to possibly different estimators. Input files are grouped according to the estimators and for each group merging is performed, as in @merge_list method. Output file name is automatically generated. :param input_file_list: list of input files :return: core_names_dict

pymchelper.input_output.guess_corename(filename)

Guess a reader based on file contents or extensions. In some cases (i.e. binary SH12A files) access to file contents is needed. :param filename: :return: the corename of the file (i.e. the basename without the running number for averaging)

pymchelper.input_output.guess_reader(filename)

Guess a reader based on file contents or extensions. In some cases (i.e. binary SH12A files) access to file contents is needed. :param filename: :return: Instantiated reader object

pymchelper.input_output.tofile(estimator, filename, converter_name, options)

Save a estimator data to a filename using converter defined by converter_name :param estimator: :param filename: :param converter_name: :param options: :return: