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One approach to ensure that all arrays have the same number of samples when the data cardinality is not clear is to use a common method of data resampling. This can involve randomly sampling from the larger arrays or interpolating the smaller arrays to match the size of the larger arrays. This ensures that all arrays have the same number of samples, allowing for consistent analysis and processing of the data. Another approach is to preprocess the data and remove any incomplete samples or outliers that could impact the size of the arrays. This ensures that the data is clean and consistent across all arrays, making it easier to compare and analyze the data.