### Q5: Reduce No Change Pythondef 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 Changedef reduce_no_change(fn, 1st, base):"""Same as Q4.However, preserve the lst in this problem.Object can be any python type which the inputNot Allowed To Import LibrariesArgs:fn (function): Combination function which takes in two arguments and returnan value with the same type as the second argument1st (List): A list of any typebase (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 listII II II### Modify your code here### Modify your code here

Code : def reduce_no_change(fn,lst,base): result=base for element in lst:…

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

C++ Programming: From Problem Analysis to Program Design

8th Edition

ISBN:9781337102087

Author:D. S. Malik

Publisher:D. S. Malik

Chapter17: Linked Lists

Section: Chapter Questions

Problem 18SA

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Concept explainers

Concept of Pointer Parameter

Pointers are the special variable that stores the variable address, instead of storing the variable value. Pointer is a powerful feature of a programming language. A pointer is mostly used to save memory space and improve execution time.

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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])

>>> lst

>>> [1, 2, 3] # we preserve the list

"""

### 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

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