human
I wrote the below code

    adjustment_type = {float64_dtype: Float64Overwrite, datetime64ns_dtype: Datetime64Overwrite, int64_dtype: Int64Overwrite, bytes_dtype: ObjectOverwrite, unicode_dtype: ObjectOverwrite, object_dtype: ObjectOverwrite}[dtype]
    make_expected_dtype = as_dtype(dtype)
    missing_value = default_missing_value_for_dtype(datetime64ns_dtype)
    if (dtype == object_dtype):
        def make_overwrite_value(dtype, value):
            return str(value)
    else:
        make_overwrite_value = coerce_to_dtype
    adjustments = {}
    buffer_as_of = ([None] * 6)
    baseline = make_expected_dtype([[2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]])
    buffer_as_of[0] = make_expected_dtype([[2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]])
    adjustments[1] = [adjustment_type(0, 0, 0, 0, make_overwrite_value(dtype, 1))]
    buffer_as_of[1] = make_expected_dtype([[1, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]])
    buffer_as_of[2] = buffer_as_of[1]
    adjustments[3] = [adjustment_type(1, 2, 1, 1, make_overwrite_value(dtype, 3)), adjustment_type(0, 1, 0, 0, make_overwrite_value(dtype, 4))]
    buffer_as_of[3] = make_expected_dtype([[4, 2, 2], [4, 3, 2], [2, 3, 2], [2, 2, 2], [2, 2, 2], [2, 2, 2]])
    adjustments[4] = [adjustment_type(0, 3, 2, 2, make_overwrite_value(dtype, 5))]
    buffer_as_of[4] = make_expected_dtype([[4, 2, 5], [4, 3, 5], [2, 3, 5], [2, 2, 5], [2, 2, 2], [2, 2, 2]])
    adjustments[5] = [adjustment_type(0, 4, 1, 1, make_overwrite_value(dtype, 6)), adjustment_type(2, 2, 2, 2, make_overwrite_value(dtype, 7))]
    buffer_as_of[5] = make_expected_dtype([[4, 6, 5], [4, 6, 5], [2, 6, 7], [2, 6, 5], [2, 6, 2], [2, 2, 2]])
    return _gen_expectations(baseline, missing_value, adjustments, buffer_as_of, nrows=6, perspective_offsets=(0, 1))

What's a good function header?

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Here's a good function header?
assistant
#Here's a good function header.

def _gen_overwrite_adjustment_cases(dtype):