Metadata-Version: 1.1
Name: toolshed
Version: 0.2.2
Summary: Tools for data
Home-page: https://github.com/brentp/toolshed/
Author: Brent Pedersen
Author-email: bpederse@gmail.com
License: BSD (2-clause)
Description: Toolshed: Less Boiler-Plate
        ===========================
        
        This is a collection of well-tested, simple modules and functions
        that I use frequently
        
        Files
        -----
        
        If you have a "proper" CSV file with quoting and such, use python's `csv`_
        module.
        
        If all you have is a file with a header and you want to get a dictionary
        for each row::
        
            >>> from toolshed import reader, header, nopen
            >>> for d in reader('src/toolshed/tests/data/file_data.txt'):
            ...    print d['a'], d['b'], d['c']
            1 2 3
            11 12 13
            21 22 23
        
        works the same for gzipped and bzipped files and for stdin (via "-")
        and for files over http/ftp::
        
            >>> for drow in (d for d in reader('src/toolshed/tests/data/file_data.txt.gz') if int(d['a']) > 10):
            ...    print drow['a'], drow['b'], drow['c']
            11 12 13
            21 22 23
        
        if one can specify the header to a file without one using the `header=` kwarg.
        If `header` is "ordered" then an OrderedDictionary will be used so that
        drow.keys() and d.values() will return the values in the order they appeared in the file.
        
        sometimes you just want the header::
        
           >>> header('src/toolshed/tests/data/file_data.txt')
           ['a', 'b', 'c']
        
        the `toolshed.nopen` can open a file over http, https, ftp, a gzipped file, a
        bzip file, or a subprocess with the same syntax.
        
            >>> nopen('src/toolshed/tests/data/file_data.txt.gz')
            <gzip open file ... >
            >>> nopen('|ls')
            <open file '<fdopen>'...>
        
        Shedskinner
        -----------
        
        Shedskin is a program that takes python scripts, infers the types based
        on example input and generates fast C++ code that compiles to a python
        extension module. Shedskinner is a decorator that automates this for a single
        function. Use looks like::
        
            from toolshed import shedskinner
        
            @shedskinner((2, 12), long=True, fast_random=True):
            def adder(a, b):
                return a + b
        
        Where here, we have decorated the adder function to make it a compiled, fast
        version that accepts and returns integers. The (2, 12) are example arguments
        to the function so that shedskin can infer types. 
        The keyword arguments are sent to the compiler (see:
        https://gist.github.com/1036972) for more examples.
        
        Links
        -----
        
        .. _`csv`: http://docs.python.org/library/csv.html
        
        
        News
        ====
        0.2.2
        -----
        * if an integer is sent to nopen, then nopen(sys.argv[arg]) is returned.
        
        0.2.1
        -----
        * fix handling when there's an exception in the loop that calls a process
          
        
        0.2.0
        -----
        * better error message from Popen when using nopen("| something")
        
        0.1.9
        -----
        * if the header argument to `reader` is "ordered" then an ordered
          dictionary is used.
        
        
        0.1.8
        -----
        * Add is_newer_b(apath, bpaths) to check that all b files are newer
          than apath.
        
        0.1.3
        -----
        * July 26 2011
        * Allow ftp/http(s) paths as arguments to reader
        
        0.1.1
        -----
        * use itertools.izip for speed improvement
        
        0.1
        ---
        
        *Release date: 15-Mar-2010*
        
        * Initial project structure.
        
        
Keywords: bioinformatics
Platform: UNKNOWN
Classifier: Topic :: Scientific/Engineering
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: Topic :: Text Processing
Classifier: Topic :: Utilities
