def main(data_fol, data_file):
    """Extract and write air traffic information between countries
       Parameters:
       -----------
       data_fol : partial path.join function
            Partial path function that links to the data directory
        data_file : str
            File name of the input file
    """
    yr_range = tuple(map(str, range(2006, 2016)))
    fname = data_fol(data_file)
    air_traffic = defaultdict(float)
    mean_func = compose(np.mean, list, cfilter(lambda x: x is not None),
                        cmap(catch_int_except))
    with open(fname, 'r') as fid:
        header_finfo, *header_tinfo = next(fid).split('\t')
        header_tinfo = [d.strip() for d in header_tinfo]
        yr_inds = tuple(
            filter(lambda x: header_tinfo[x] in yr_range,
                   range(len(header_tinfo))))
        for row in fid:
            location, *flow_rate = row.split('\t')
            flow_rate = [d.strip() for d in flow_rate]
            unit, code, source, dest = location.split(',')
            if unit != 'PAS' or code != 'PAS_CRD' or \
            any(map(lambda x: 'EU' in x or 'EA' in x, (source, dest))):
                continue
            air_traffic[(source, dest)] += mean_func(flow_rate[i]
                                                     for i in yr_inds)
            print(source, dest, air_traffic[(source, dest)])
    write_file(air_traffic, data_fol)
    return air_traffic
Ejemplo n.º 2
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    def paths_to_major_minors(self, device_paths):
        """
        Create a list of device major minors for a list of
        device paths from _path_to_major_minor dict.
        If any of the paths come back as None, continue to the next.

        :param device_paths: The list of paths to get
            the list of major minors for.
        :return: list of dev_major_minors, or an empty
            list if any device_path is not found.
        """

        return pipe(device_paths, cmap(self.path_to_major_minor),
                    cfilter(None), list)
Ejemplo n.º 3
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def paths_to_major_minors(node_block_devices, ndt, device_paths):
    """
    Create a list of device major minors for a list of
    device paths from _path_to_major_minor dict.
    If any of the paths come back as None, continue to the next.

    :param node_block_devices: dict of major-minor ids keyed on path
    :param ndt: normalised device table
    :param device_paths: The list of paths to get
        the list of major minors for.
    :return: list of dev_major_minors, or an empty
        list if any device_path is not found.
    """
    c_path_to_major_minor = path_to_major_minor(node_block_devices, ndt)

    return pipe(device_paths, cmap(c_path_to_major_minor), cfilter(None), list)
Ejemplo n.º 4
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    def check(self, skip_keys, expect, result, x):
        from toolz import pipe
        from toolz.curried import map as cmap, filter as cfilter

        def cmpval(key):
            expected = expect[x][key]
            actual = result[x][key]
            if type(expected) is dict:
                self.check(skip_keys, expect[x], result[x], key)
            else:
                self.assertEqual(
                    actual,
                    expected,
                    "item {} ({}) in {} does not match expected ({})".format(
                        key, actual, x, expected),
                )

        pipe(expect[x].keys(), cfilter(lambda y: y not in skip_keys),
             cmap(cmpval), list)
Ejemplo n.º 5
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def create_device_list(device_dict):
    return pipe(device_dict.itervalues(), cmap(as_device),
                cfilter(filter_device), list)
Ejemplo n.º 6
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def fetch_device_list():
    AgentShell.run(["udevadm", "settle"])
    info = scanner_cmd("info")

    return pipe(info.itervalues(), cmap(as_device), cfilter(filter_device),
                list)