Move Objects and methods to mtpy-v2 and mth5

[kujaku11]

Moving some methods to MTH5 and mtpy.

• aurora.pipelines.run_summary.convert_channel_summary_to_run_summary to mth5.tables.ChannelTable.to_run_summary
  • run summary comes as a DataFrame with duration and there is a convenience property in mth5.MTH5.run_summary.
  • The run summary columns and dtypes now live in mth5.__init__ so as to be generic
  • Included in the columns are duration and has_data to help with parsing out runs to process
• Copy aurora.pipelines.run_summary to mtpy.processing.run_summary
  • Copied over all functionality, type hinting.
  • Added
    • df setter [validates the data frame and adds appropriate columns] and getter
    • drop_no_data_rows which uses has_data column to drop any False rows.
    • set_sample_rate to set the sample rate to process and returns a new DataFrame so that you don't have to recompile the run summary from mth5 objects.
• Copy aurora.timeseries.KernelDataset to mtpy.processing
  • Add properties for commonly accessed attributes [local/remote_station_id, local/remote_mth5_path]
  • Add methods for validation
  • Add processing_id property
  • Add input_channels and output_channels as a property
• Move aurora.pipelines.run_summary.RunSummary.check_runs_are_valid() to mth5.timeseries.RunTS or mth5.groups.Run

Tests

• Change imports of KernelDataset and RunSummary to mtpy in tests
• Add installation of mtpy into the tests.yml
• remove tests for KernelDataset and RunSummary