Python solution please

A Company parses logs of online store user transactions/activity to flag fraudulent activity. The log file is represented as an Array of arrays. The arrays consist of the following data: [ ] For example: [345366 89921 45] Note: the data is space delimited So, the log data would look like: [ [345366 89921 45], [029323 38239 23] ] Write a function to parse the log data to find distinct users that meet or cross a certain threshold. . function will take in 2 inputs: ] My Stats Yash D Write a function to parse the log data to find distinct users that meet or cross a certain threshold. The function will take in 2 inputs: logData : Log data in form an array of arrays threshold : threshold as an integer Output: It should be an array of userids that are sorted. If same userid appears in the transaction as userid1 and userid2 , it should count as one occurrence, not two. Example: Input: logData: useridl and userid2 , it should count as one occurrence, not two. Example: Input: log Data: [ [345366 89921 45], [029323 38239 23), [38239 345366 15], [029323 38239 77], [345366 38239 23], [029323 345366 13], [38239 38239 23] ] threshold: 3 Output: [345366 , 38239, 029323] Explanation: Given the following counts of userids , there are only 3 userids that meet or exceed the threshold of 3. 345366 -4, 38239 -5, 029323-3, 89921-1 ENG 12:43 AM 27-Dec-20