Question: optimize a a data processing pipeline for tiltok's financial analytics platform. the objective is to enhance the module to efficiently identify the longest good subarray
optimize a a data processing pipeline for tiltok's financial analytics platform. the objective is to enhance the module to efficiently identify the longest good subarray of financial metrocs meetinf a specific criterion.
given an array financialMetrics of size n where each element represents a numerical financial metric and a threshold value limit the goal is to find the maximum length of a non empty consecutive sequence of data points in financialMetrics that satisifies the following condition:
each data point in the sequence must be greater than limitlength of the sequencethis sequence is termed a good subarray for analysis. if thereis no good subarray in the dataset, the function should return
Example:
n
limit
financialMetrix
lets observe all tge subarrays of financialMetrics:
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : every element is greater than so this is a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
subarray comaprison : so this is not a good sub array
thus maximum length of good subarray is and good sub array is
eg :
limit financialMetrics n
ans
as there is no good subarray possible
write a python code for this
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