Videre
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from cython cimport floating
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from sklearn.utils._typedefs cimport intp_t
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cdef inline int heap_push(
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floating* values,
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intp_t* indices,
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intp_t size,
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floating val,
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intp_t val_idx,
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) noexcept nogil:
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"""Push a tuple (val, val_idx) onto a fixed-size max-heap.
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The max-heap is represented as a Structure of Arrays where:
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- values is the array containing the data to construct the heap with
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- indices is the array containing the indices (meta-data) of each value
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Notes
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-----
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Arrays are manipulated via a pointer to there first element and their size
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as to ease the processing of dynamically allocated buffers.
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For instance, in pseudo-code:
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values = [1.2, 0.4, 0.1],
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indices = [42, 1, 5],
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heap_push(
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values=values,
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indices=indices,
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size=3,
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val=0.2,
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val_idx=4,
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)
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will modify values and indices inplace, giving at the end of the call:
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values == [0.4, 0.2, 0.1]
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indices == [1, 4, 5]
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"""
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cdef:
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intp_t current_idx, left_child_idx, right_child_idx, swap_idx
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# Check if val should be in heap
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if val >= values[0]:
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return 0
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# Insert val at position zero
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values[0] = val
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indices[0] = val_idx
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# Descend the heap, swapping values until the max heap criterion is met
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current_idx = 0
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while True:
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left_child_idx = 2 * current_idx + 1
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right_child_idx = left_child_idx + 1
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if left_child_idx >= size:
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break
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elif right_child_idx >= size:
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if values[left_child_idx] > val:
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swap_idx = left_child_idx
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else:
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break
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elif values[left_child_idx] >= values[right_child_idx]:
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if val < values[left_child_idx]:
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swap_idx = left_child_idx
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else:
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break
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else:
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if val < values[right_child_idx]:
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swap_idx = right_child_idx
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else:
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break
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values[current_idx] = values[swap_idx]
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indices[current_idx] = indices[swap_idx]
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current_idx = swap_idx
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values[current_idx] = val
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indices[current_idx] = val_idx
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return 0
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