human
Complete the below
def csv2rec(fname, comments=u'#', skiprows=0, checkrows=0, delimiter=u',', converterd=None, names=None, missing=u'', missingd=None, use_mrecords=False, dayfirst=False, yearfirst=False):

    ''''Load data from comma/space/tab delimited file in *fname* into a
    numpy record array and return the record array.
    If *names* is *None*, a header row is required to automatically
    assign the recarray names.  The headers will be lower cased,
    spaces will be converted to underscores, and illegal attribute
    name characters removed.  If *names* is not *None*, it is a
    sequence of names to use for the column names.  In this case, it
    is assumed there is no header row.
    - *fname*: can be a filename or a file handle.  Support for gzipped
    files is automatic, if the filename ends in \'.gz\'
    - *comments*: the character used to indicate the start of a comment
    in the file, or *None* to switch off the removal of comments
    - *skiprows*: is the number of rows from the top to skip
    - *checkrows*: is the number of rows to check to validate the column
    data type.  When set to zero all rows are validated.
    - *converterd*: if not *None*, is a dictionary mapping column number or
    munged column name to a converter function.
    - *names*: if not None, is a list of header names.  In this case, no
    header will be read from the file
    - *missingd* is a dictionary mapping munged column names to field values
    which signify that the field does not contain actual data and should
    be masked, e.g., \'0000-00-00\' or \'unused\'
    - *missing*: a string whose value signals a missing field regardless of
    the column it appears in
    - *use_mrecords*: if True, return an mrecords.fromrecords record array if
    any of the data are missing
    - *dayfirst*: default is False so that MM-DD-YY has precedence over
    DD-MM-YY.  See
    http://labix.org/python-dateutil#head-b95ce2094d189a89f80f5ae52a05b4ab7b41af47
    for further information.
    - *yearfirst*: default is False so that MM-DD-YY has precedence over
    YY-MM-DD. See
    http://labix.org/python-dateutil#head-b95ce2094d189a89f80f5ae52a05b4ab7b41af47
    for further information.
    If no rows are found, *None* is returned'
    '''

=====
Can you provide a the Python code you requested?
assistant
#Here is the Python code you requested.
    if (converterd is None):
        converterd = dict()
    if (missingd is None):
        missingd = {}
    import dateutil.parser
    import datetime
    fh = cbook.to_filehandle(fname)
    delimiter = str(delimiter)
    class FH:
        u'\n                                For    space-delimited    files,    we    want    different    behavior    than\n                                comma    or    tab.        Generally,    we    want    multiple    spaces    to    be\n                                treated    as    a    single    separator,    whereas    with    comma    and    tab    we\n                                want    multiple    commas    to    return    multiple    (empty)    fields.        The\n                                join/strip    trick    below    effects    this.\n                                '
        def __init__(self, fh):
            self.fh = fh
        def close(self):
            self.fh.close()
        def seek(self, arg):
            self.fh.seek(arg)
        def fix(self, s):
            return u'    '.join(s.split())
        def __next__(self):
            return self.fix(next(self.fh))
        def __iter__(self):
            for line in self.fh:
                (yield self.fix(line))
    if (delimiter == u'    '):
        fh = FH(fh)
    reader = csv.reader(fh, delimiter=delimiter)
    def process_skiprows(reader):
        if skiprows:
            for (i, row) in enumerate(reader):
                if (i >= (skiprows - 1)):
                    break
        return (fh, reader)
    process_skiprows(reader)
    def ismissing(name, val):
        u'Should    the    value    val    in    column    name    be    masked?'
        return ((val == missing) or (val == missingd.get(name)) or (val == u''))
    def with_default_value(func, default):
        def newfunc(name, val):
            if ismissing(name, val):
                return default
            else:
                return func(val)
        return newfunc
    def mybool(x):
        if (x == u'True'):
           ...