"""
Input/Output tools for working with binary data.

See Also
--------
numpy.lib.io
"""
import numpy as np

from statsmodels.iolib.openfile import get_file_obj


def savetxt(fname, X, names=None, fmt='%.18e', delimiter=' '):
    """
    Save an array to a text file.

    This is just a copy of numpy.savetxt patched to support structured arrays
    or a header of names.  Does not include py3 support now in savetxt.

    Parameters
    ----------
    fname : filename or file handle
        If the filename ends in ``.gz``, the file is automatically saved in
        compressed gzip format.  `loadtxt` understands gzipped files
        transparently.
    X : array_like
        Data to be saved to a text file.
    names : list, optional
        If given names will be the column header in the text file.
    fmt : str or sequence of strs
        A single format (%10.5f), a sequence of formats, or a
        multi-format string, e.g. 'Iteration %d -- %10.5f', in which
        case `delimiter` is ignored.
    delimiter : str
        Character separating columns.

    See Also
    --------
    save : Save an array to a binary file in NumPy ``.npy`` format
    savez : Save several arrays into a ``.npz`` compressed archive

    Notes
    -----
    Further explanation of the `fmt` parameter
    (``%[flag]width[.precision]specifier``):

    flags:
        ``-`` : left justify

        ``+`` : Forces to preceed result with + or -.

        ``0`` : Left pad the number with zeros instead of space (see width).

    width:
        Minimum number of characters to be printed. The value is not truncated
        if it has more characters.

    precision:
        - For integer specifiers (eg. ``d,i,o,x``), the minimum number of
          digits.
        - For ``e, E`` and ``f`` specifiers, the number of digits to print
          after the decimal point.
        - For ``g`` and ``G``, the maximum number of significant digits.
        - For ``s``, the maximum number of characters.

    specifiers:
        ``c`` : character

        ``d`` or ``i`` : signed decimal integer

        ``e`` or ``E`` : scientific notation with ``e`` or ``E``.

        ``f`` : decimal floating point

        ``g,G`` : use the shorter of ``e,E`` or ``f``

        ``o`` : signed octal

        ``s`` : str of characters

        ``u`` : unsigned decimal integer

        ``x,X`` : unsigned hexadecimal integer

    This explanation of ``fmt`` is not complete, for an exhaustive
    specification see [1]_.

    References
    ----------
    .. [1] `Format Specification Mini-Language
           <http://docs.python.org/library/string.html#
           format-specification-mini-language>`_, Python Documentation.

    Examples
    --------
    >>> savetxt('test.out', x, delimiter=',')   # x is an array
    >>> savetxt('test.out', (x,y,z))   # x,y,z equal sized 1D arrays
    >>> savetxt('test.out', x, fmt='%1.4e')   # use exponential notation
    """

    with get_file_obj(fname, 'w') as fh:
        X = np.asarray(X)

        # Handle 1-dimensional arrays
        if X.ndim == 1:
            # Common case -- 1d array of numbers
            if X.dtype.names is None:
                X = np.atleast_2d(X).T
                ncol = 1

            # Complex dtype -- each field indicates a separate column
            else:
                ncol = len(X.dtype.descr)
        else:
            ncol = X.shape[1]

        # `fmt` can be a string with multiple insertion points or a list of formats.
        # E.g. '%10.5f\t%10d' or ('%10.5f', '$10d')
        if isinstance(fmt, (list, tuple)):
            if len(fmt) != ncol:
                raise AttributeError('fmt has wrong shape.  %s' % str(fmt))
            format = delimiter.join(fmt)
        elif isinstance(fmt, str):
            if fmt.count('%') == 1:
                fmt = [fmt, ]*ncol
                format = delimiter.join(fmt)
            elif fmt.count('%') != ncol:
                raise AttributeError('fmt has wrong number of %% formats.  %s'
                                     % fmt)
            else:
                format = fmt

        # handle names
        if names is None and X.dtype.names:
            names = X.dtype.names
        if names is not None:
            fh.write(delimiter.join(names) + '\n')

        for row in X:
            fh.write(format % tuple(row) + '\n')