【摘要】Python数据结构之Array用法实例这篇文章主要介绍了Python数据结构之Array用法实例,较为详细的讲述了Array的常见用法,具有很好的参考借鉴价

Python数据结构之Array用法实例

这篇文章主要介绍了Python数据结构之Array用法实例,较为详细的讲述了Array的常见用法,具有很好的参考借鉴价值,需要的朋友可以参考下    
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。