This article mainly introduces an example of the Array usage of Python data structures. it describes the common usage of Array in detail and has good reference value, for more information about the Array usage of python data structures, see the examples in this article. The specific method is as follows:
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
=0 and col
= 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
I hope this article will help you with Python programming.