Python数据结构之Array用法实例_python教程-查字典教程网
Python数据结构之Array用法实例
Python数据结构之Array用法实例
发布时间:2016-12-28 来源:查字典编辑
摘要:本文实例讲述了python数据结构之Array用法,分享给大家供大家参考。具体方法如下:importctypesclassArray:def...

本文实例讲述了python数据结构之Array用法,分享给大家供大家参考。具体方法如下:

import ctypes class Array: def __init__(self, size): assert size > 0, "Array size must be > 0 " self._size = size pyArrayType = ctypes.py_object * size self._elements = pyArrayType() self.clear(None) def clear(self, value): for index in range(len(self)): self._elements[index] = value def __len__(self): return self._size def __getitem__(self, index): assert index >= 0 and index < len(self), "index must >=0 and <= size" return self._elements[index] def __setitem__(self, index, value): assert index >= 0 and index < len(self), "index must >=0 and <= size" self._elements[index] = value def __iter__(self): return _ArrayIterator(self._elements) class _ArrayIterator: def __init__(self, theArray): self._arrayRef = theArray self._curNdr = 0 def __next__(self): if self._curNdr < len(theArray): entry = self._arrayRef[self._curNdr] sllf._curNdr += 1 return entry else: raise StopIteration def __iter__(self): return self

class Array2D : def __init__(self, numRows, numCols): self._theRows = Array(numCols) for i in range(numCols): self._theRows[i] = Array(numCols) def numRows(self): return len(self._theRows) def numCols(self): return len(self._theRows[0]) def clear(self, value): for row in range(self.numRows): self._theRows[row].clear(value) def __getitem__(self, ndxTuple): assert len(ndxTuple) == 2, "the tuple must 2" row = ndxTuple[0] col = ndxTuple[1] assert row>=0 and row <len(self.numRows()) and col>=0 and col<len(self.numCols), "array subscrpt out of range" theArray = self._theRows[row] return theArray[col] def __setitem__(self, ndxTuple, value): assert len(ndxTuple)==2, "the tuple must 2" row = ndxTuple[0] col = ndxTuple[1] assert row >= 0 and row < len(self.numRows) and col >= 0 and col < len(self.numCols), "row and col is invalidate" theArray = self._theRows[row]; theArray[col] = value

希望本文所述对大家的Python程序设计有所帮助。

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