Python Dataset Processing Function | Dataford Interview Questions

Write a function in Python to process and filter datasets for Solaya.

Implement process_and_filter_datasets(datasets, filters). datasets is a list of record lists, and each record is a dictionary with hashable scalar values. filters maps field names to lists of accepted values. Flatten the batches, keep records matching every filter, preserve original order, and do not mutate the inputs. Records missing a filtered field must be excluded. If filters is empty, return every record.

Constraints

1 <= total number of records across all batches <= 10^4
Each record is a dictionary with hashable scalar values
Each filter value is a list of hashable scalar values
The output must preserve the order of the input records
Input records and filter collections must not be mutated

Function Signature

def process_and_filter_datasets(datasets, filters):

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Problem

Write a function in Python to process and filter datasets for Solaya.

Constraints

1 <= total number of records across all batches <= 10^4
Each record is a dictionary with hashable scalar values
Each filter value is a list of hashable scalar values
The output must preserve the order of the input records
Input records and filter collections must not be mutated

Function Signature

def process_and_filter_datasets(datasets, filters):

Your question is Python Dataset Processing Function. Start with the requirements in the Question tab.

Run and submit as often as you like. When you're ready, talk me through your approach or go straight to the code.