#
# Licensed to the Apache Software Foundation (ASF) under one or more
# contributor license agreements.  See the NOTICE file distributed with
# this work for additional information regarding copyright ownership.
# The ASF licenses this file to You under the Apache License, Version 2.0
# (the "License"); you may not use this file except in compliance with
# the License.  You may obtain a copy of the License at
#
#    http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#

"""
Python bindings for MLlib.
"""

# MLlib currently needs and NumPy 1.4+, so complain if lower

import numpy
if numpy.version.version < '1.4':
    raise Exception("MLlib requires NumPy 1.4+")

__all__ = ['classification', 'clustering', 'feature', 'linalg', 'random',
           'recommendation', 'regression', 'stat', 'tree', 'util']

import sys
import rand as random
random.__name__ = 'random'
random.RandomRDDs.__module__ = __name__ + '.random'


class RandomModuleHook(object):
    """
    Hook to import pyspark.mllib.random
    """
    fullname = __name__ + '.random'

    def find_module(self, name, path=None):
        # skip all other modules
        if not name.startswith(self.fullname):
            return
        return self

    def load_module(self, name):
        if name == self.fullname:
            return random

        cname = name.rsplit('.', 1)[-1]
        try:
            return getattr(random, cname)
        except AttributeError:
            raise ImportError


sys.meta_path.append(RandomModuleHook())