Created
September 24, 2015 21:40
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#!/usr/bin/env python | |
def flatten(d_list): | |
"""Flatten arbitrarily nested arrays of integers/strings. | |
Raises ValueError if the argument is not a list.""" | |
if not isinstance(d_list, list): | |
raise ValueError("Argument must be a list type") | |
# Make a copy to preserve the original | |
d_list = list(d_list) | |
i = 0 | |
while i < len(d_list): | |
# Nothing to do if it is not a list | |
if not isinstance(d_list[i], list): | |
i += 1 | |
continue | |
# Extract the elements from the array and replace the element | |
d_list[i:i+1] = d_list[i] | |
return d_list | |
if __name__ == "__main__": | |
test_data = [[1, 2, [3]], 4] | |
print "Original array: %s" % test_data | |
print "Flattened array: %s" % flatten(test_data) |
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import pytest | |
import flatten | |
def test_flatten_2000_level(): | |
nested = [] | |
# We create a 2000 deep nested list | |
for elem in xrange(2000): | |
nested = [nested, elem] | |
result = flatten.flatten(nested) | |
expected = range(2000) | |
assert cmp(result, expected) == 0 | |
def test_flatten_empty(): | |
nested = [] | |
result = flatten.flatten(nested) | |
expected = [] | |
assert cmp(result, expected) == 0 | |
def test_invalid_type(): | |
data = "bad data" | |
with pytest.raises(ValueError): | |
flatten.flatten(data) |
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Running the test requires pytest. (pip install pytest && py.test)