python code. instructions are given below. Run function is already done. 1) def binary_search_rec(x, t, start, end): """ Return the left most index of x if x is in t indexed between [start, end] inclusive Otherwise return -1 You may assume that both start and end are valid index for t. Use Recursion, Do Not Use loops Your algorithm should be logarithmic to number of elements between [start, end] regardless of how many duplicates of x is. """ return 0   2) def binary_search_loop(x, t, start, end): """ Return the left most index of x if x is in t indexed between [start, end] inclusive Otherwise return -1 You may assume that both start and end are valid index for t. Use loop, Do Not Use Recursion Your algorithm should be logarithmic to number of elements between [start, end] regardless of how many duplicates of x is. """ return 0

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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python code. instructions are given below. Run function is already done.

1) def binary_search_rec(x, t, start, end):
"""
Return the left most index of x if x is in t indexed between [start, end] inclusive
Otherwise return -1
You may assume that both start and end are valid index for t.
Use Recursion, Do Not Use loops
Your algorithm should be logarithmic to number of elements between [start, end]
regardless of how many duplicates of x is.
"""
return 0
 
2) def binary_search_loop(x, t, start, end):
"""
Return the left most index of x if x is in t indexed between [start, end] inclusive
Otherwise return -1
You may assume that both start and end are valid index for t.
Use loop, Do Not Use Recursion
Your algorithm should be logarithmic to number of elements between [start, end]
regardless of how many duplicates of x is.
"""
return 0
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