bench: Add tests for constructing various containers from iterator.
Both "bound" (like, length known) and "unbound" (length unknown) are tested. All of list, tuple, bytes, bytesarray offer approximately the same performance, with "unbound" case being 30 times slower.
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tests/bench/from_iter-1-list_bound.py
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tests/bench/from_iter-1-list_bound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = list(l)
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bench.run(test)
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tests/bench/from_iter-2-list_unbound.py
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tests/bench/from_iter-2-list_unbound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = list(map(lambda x: x, l))
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bench.run(test)
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tests/bench/from_iter-3-tuple_bound.py
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tests/bench/from_iter-3-tuple_bound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = tuple(l)
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bench.run(test)
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tests/bench/from_iter-4-tuple_unbound.py
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tests/bench/from_iter-4-tuple_unbound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = tuple(map(lambda x: x, l))
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bench.run(test)
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tests/bench/from_iter-5-bytes_bound.py
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tests/bench/from_iter-5-bytes_bound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = bytes(l)
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bench.run(test)
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tests/bench/from_iter-6-bytes_unbound.py
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tests/bench/from_iter-6-bytes_unbound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = bytes(map(lambda x: x, l))
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bench.run(test)
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tests/bench/from_iter-7-bytearray_bound.py
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tests/bench/from_iter-7-bytearray_bound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = bytearray(l)
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bench.run(test)
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tests/bench/from_iter-8-bytearray_unbound.py
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tests/bench/from_iter-8-bytearray_unbound.py
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import bench
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def test(num):
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for i in iter(range(num//10000)):
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l = [0] * 1000
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l2 = bytearray(map(lambda x: x, l))
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bench.run(test)
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