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Q5: Reduce No Change  Python def reduce_no_change(fn, lst, base):     """Same as Q4.  However, preserve the lst in this problem.       Object can be any python type which the input           Not Allowed To Import Libraries     Args:         fn (function): Combination function which takes in two arguments and return                        an value with the same type as the second argument         lst (List): A list of any type         base (Object): A value of custom type which fn can handle.     Returns:          Object: A value after applying fn on lst.     >>> reducer = lambda x, y: x + y     >>> lst = [1, 2, 3]     >>> a = reduce_lst(reducer, lst, 0)     >>> a # a = reducer(reducer(reducer(base, lst[0]), lst[1]), lst[2])     6     >>> lst     >>> [1, 2, 3] # we preserve the list     """     ### Modify your code here     ### Modify your code here

Q5: Reduce No Change  Python def reduce_no_change(fn, lst, base):     """Same as Q4.  However, preserve the lst in this problem.       Object can be any python type which the input           Not Allowed To Import Libraries     Args:         fn (function): Combination function which takes in two arguments and return                        an value with the same type as the second argument         lst (List): A list of any type         base (Object): A value of custom type which fn can handle.     Returns:          Object: A value after applying fn on lst.     >>> reducer = lambda x, y: x + y     >>> lst = [1, 2, 3]     >>> a = reduce_lst(reducer, lst, 0)     >>> a # a = reducer(reducer(reducer(base, lst[0]), lst[1]), lst[2])     6     >>> lst     >>> [1, 2, 3] # we preserve the list     """     ### Modify your code here     ### Modify your code here

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
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### Q5: Reduce No Change  Python
def reduce_no_change(fn, lst, base):
    """Same as Q4.  However, preserve the lst in this problem.
      Object can be any python type which the input
          Not Allowed To Import Libraries

    Args:
        fn (function): Combination function which takes in two arguments and return
                       an value with the same type as the second argument
        lst (List): A list of any type
        base (Object): A value of custom type which fn can handle.

    Returns: 
        Object: A value after applying fn on lst.

    >>> reducer = lambda x, y: x + y
    >>> lst = [1, 2, 3]
    >>> a = reduce_lst(reducer, lst, 0)
    >>> a # a = reducer(reducer(reducer(base, lst[0]), lst[1]), lst[2])
    6
    >>> lst
    >>> [1, 2, 3] # we preserve the list
    """
    ### Modify your code here

    ### Modify your code here
### Q5: Reduce No Change def reduce_no_change(fn, 1st, base): """Same as Q4. However, preserve the lst in this problem. Object can be any python type which the input Not Allowed To Import Libraries Args: fn (function): Combination function which takes in two arguments and return an value with the same type as the second argument 1st (List): A list of any type base (Object): A value of custom type which fn can handle. Returns: Object: A value after applying fn on 1st. >>> reducer = lambda x, y: x + y >>> 1st = [1, 2, 3] >>> a = reduce_1st(reducer, 1st, 0) >>> a # a = reducer(reducer(reducer(base, 1st[0]), 1st[1]), 1st[2]) >>> 1st >>> [1, 2, 3] # we preserve the list II II II ### Modify your code here ### Modify your code here
Transcribed Image Text:### Q5: Reduce No Change def reduce_no_change(fn, 1st, base): """Same as Q4. However, preserve the lst in this problem. Object can be any python type which the input Not Allowed To Import Libraries Args: fn (function): Combination function which takes in two arguments and return an value with the same type as the second argument 1st (List): A list of any type base (Object): A value of custom type which fn can handle. Returns: Object: A value after applying fn on 1st. >>> reducer = lambda x, y: x + y >>> 1st = [1, 2, 3] >>> a = reduce_1st(reducer, 1st, 0) >>> a # a = reducer(reducer(reducer(base, 1st[0]), 1st[1]), 1st[2]) >>> 1st >>> [1, 2, 3] # we preserve the list II II II ### Modify your code here ### Modify your code here
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