human
Give me a code to maximize jobs that can be completed under given constraint and the other steps required given the following:
Maximize jobs that can be completed under given constraint | Function to find maxiumum number of jobs.
Min Heap.
Sort ranges by start day.
Stores the minimum and maximum day in the ranges.
Iterating from min_day to max_day.
Insert the end day of the jobs which can be completed on i - th day in a priority queue.
Pop all jobs whose end day is less than current day.
If queue is empty , no job can be completed on the i - th day.
Increment the count of jobs completed.
Pop the job with least end day.
Return the jobs on the last day.
Driver code"
Solution in Python:
assistant
#Here is code to maximize jobs that can be completed under given constraint and the other steps required.
 def find_maximum_jobs ( N , ranges ) :
	queue = [ ]
	ranges . sort ( )
	min_day = ranges [ 0 ] [ 0 ]
	max_day = 0
	for i in range ( N ) :
	max_day = max ( max_day , ranges [ i ] [ 1 ] )
	index , count_jobs = 0 , 0
	for i in range ( min_day , max_day + 1 ) :
	while ( index < len ( ranges ) and ranges [ index ] [ 0 ] <= i ) :
		queue . append ( ranges [ index ] [ 1 ] )
		index += 1
	queue . sort ( )
	while ( len ( queue ) > 0 and queue [ 0 ] < i ) :
		queue . pop ( 0 )
	if ( len ( queue ) == 0 ) :
		continue
	count_jobs += 1
	queue . pop ( 0 )
	return count_jobs
N = 5
ranges = [ ]
ranges . append ( ( 1 , 5 ) )
ranges . append ( ( 1 , 5 ) )
ranges . append ( ( 1 , 5 ) )
ranges . append ( ( 2 , 3 ) )
ranges . append ( ( 2 , 3 ) )
print ( find_maximum_jobs ( N , ranges ) )