# Path: trappy/utils.py
# def listify(to_select):
# def handle_duplicate_index(data,
#                            max_delta=0.000001):


import unittest
import pandas
from trappy import utils
from pandas.util.testing import assert_series_equal

        # Refer to the example in the function doc string
        values = [0, 1, 2, 3, 4]
        index = [0.0, 1.0, 1.0, 6.0, 7.0]
        series = pandas.Series(values, index=index)
        new_index = [0.0, 1.0, 2.0, 3.0, 4.0, 6.0, 7.0]

        with self.assertRaises(ValueError):
            series.reindex(new_index)

        max_delta = 0.001
        expected_index = [0.0, 1.0, 1 + max_delta, 6.0, 7.0]
        expected_series = pandas.Series(values, index=expected_index)
        series = utils.handle_duplicate_index(series, max_delta)
        assert_series_equal(series, expected_series)

        # Make sure that the reindex doesn't raise ValueError any more
        series.reindex(new_index)

    def test_handle_duplicate_index_duplicate_end(self):
        """handle_duplicate_index copes with duplicates at the end of the series"""

        max_delta = 0.001
        values = [0, 1, 2, 3, 4]
        index = [0.0, 1.0, 2.0, 6.0, 6.0]
        expected_index = index[:]
        expected_index[-1] += max_delta
        series = pandas.Series(values, index=index)
        expected_series = pandas.Series(values, index=expected_index)


# Path: trappy/utils.py
# def listify(to_select):
# def handle_duplicate_index(data,
#                            max_delta=0.000001):


# Path: tests/test_utils.py
import unittest
import pandas
from trappy import utils
from pandas.util.testing import assert_series_equal


        # Refer to the example in the function doc string
        values = [0, 1, 2, 3, 4]
        index = [0.0, 1.0, 1.0, 6.0, 7.0]
        series = pandas.Series(values, index=index)
        new_index = [0.0, 1.0, 2.0, 3.0, 4.0, 6.0, 7.0]

        with self.assertRaises(ValueError):
            series.reindex(new_index)

        max_delta = 0.001
        expected_index = [0.0, 1.0, 1 + max_delta, 6.0, 7.0]
        expected_series = pandas.Series(values, index=expected_index)
        series = utils.handle_duplicate_index(series, max_delta)
        assert_series_equal(series, expected_series)

        # Make sure that the reindex doesn't raise ValueError any more
        series.reindex(new_index)

    def test_handle_duplicate_index_duplicate_end(self):
        """handle_duplicate_index copes with duplicates at the end of the series"""

        max_delta = 0.001
        values = [0, 1, 2, 3, 4]
        index = [0.0, 1.0, 2.0, 6.0, 6.0]
        expected_index = index[:]
        expected_index[-1] += max_delta
        series = pandas.Series(values, index=index)
        expected_series = pandas.Series(values, index=expected_index)


        series = utils.handle_duplicate_index(series, max_delta)