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POcython / numpy type of an array
 

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    <p>I am trying to construct a matrix of python type int, a 64bit signed integer.</p> <pre><code>cdef matrix33(): return np.zeros((3,3),dtype=int) cdef do_stuf(np.ndarray[int, ndim=2] matrix): ... return some_value def start(): print do_stuf(matrix33()) </code></pre> <p>It compiles right, but when I run it I keep getting this error:</p> <pre><code>ValueError: Buffer dtype mismatch, expected 'int' but got 'long' </code></pre> <p>I can not work with python long's, but I don't know how to properly convert to a 64 int.</p> <p><strong>UPDATE</strong> </p> <p>Okey. I am quite sure that I used Cython correctly. The code that I wrote was for an minmax search in the game of capture go / atari go.</p> <p>By far the most called functions are these:</p> <pre><code>cdef isThere_greedy_move(np.ndarray[np.int64_t, ndim=2]board, int player): cdef int i, j for i in xrange(len(board)): for j in xrange(len(board)): if board[i,j] == 0: board[i,j] = player if player in score(board): board[i,j] = 0 return True board[i,j] = 0 return False # main function of the scoring system. # returns list of players that eat a stone cdef score(np.ndarray[np.int64_t, ndim=2] board): scores = [] cdef int i,j cdef np.ndarray[np.int64_t, ndim = 2] checked checked = np.zeros((board.shape[0], board.shape[1]), dtype = int) for i in xrange(len(board)): for j in xrange(len(board)): if checked[i,j] == 0 and board[i,j] !=0: life, newly_checked = check_life(i,j,board,[]) if not life: if -board[i,j] not in scores: scores.append(-board[i,j]) if len(scores) == 2: return scores checked = update_checked(checked, newly_checked) return scores # helper functions of score/1 cdef check_life(int i, int j, np.ndarray[np.int64_t, ndim=2] board, checked): checked.append((i,j)) if liberty(i,j,board): return True, checked for pos in [[1,0],[0,1],[-1,0],[0,-1]]: pos = np.array([i,j]) + np.array(pos) if check_index(pos[0],pos[1],len(board)) and board[pos[0],pos[1]] == board[i,j] and (pos[0],pos[1]) not in checked: life, newly_checked = check_life(pos[0],pos[1],board,checked) if life: checked = checked + newly_checked return life, checked return False, [] # [] is a dummy. cdef liberty(int i,int j, np.ndarray[np.int64_t, ndim=2] board): for pos in [np.array([1,0]),np.array([0,1]),np.array([-1,0]),np.array([0,-1])]: pos = np.array([i,j]) - pos if check_index(pos[0],pos[1],len(board)) and board[pos[0],pos[1]] == 0: return True return False </code></pre> <p>I would really have thought that this would be a chance to shine for cython. To solve 3x3 capture go:</p> <p>Python 2.7 does a consistent 2.28 seconds, with cython it is a consistent 2.03 Both were tested with the python time module and on an i7 processor of less than 60C°</p> <p>Now the question for me is if I am going to switch to Haskell or C++ for this project...</p>
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