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import numba
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@numba.jit(
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numba.void(
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numba.int32[:, :, ::1],
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numba.float32[:, :, ::1],
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numba.int32[::1],
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numba.int32[::1],
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),
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nopython=True,
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nogil=True,
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)
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def maximum_path_jit(paths, values, t_ys, t_xs):
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b = paths.shape[0]
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max_neg_val = -1e9
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for i in range(int(b)):
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path = paths[i]
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value = values[i]
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t_y = t_ys[i]
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t_x = t_xs[i]
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v_prev = v_cur = 0.0
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index = t_x - 1
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for y in range(t_y):
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for x in range(max(0, t_x + y - t_y), min(t_x, y + 1)):
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if x == y:
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v_cur = max_neg_val
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else:
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v_cur = value[y - 1, x]
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if x == 0:
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if y == 0:
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v_prev = 0.0
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else:
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v_prev = max_neg_val
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else:
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v_prev = value[y - 1, x - 1]
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value[y, x] += max(v_prev, v_cur)
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for y in range(t_y - 1, -1, -1):
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path[y, index] = 1
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if index != 0 and (
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index == y or value[y - 1, index] < value[y - 1, index - 1]
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):
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index = index - 1
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