oasislmf.pytools.pla.structure¶
Attributes¶
Functions¶
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Get array of amplification IDs from amplifications.bin, where index |
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Fill Post Loss Amplification (PLA) factors dictionary mapped to |
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Get Post Loss Amplification (PLA) factors mapped to event ID-item ID pair. |
Module Contents¶
- oasislmf.pytools.pla.structure.get_items_amplifications(path)[source]¶
Get array of amplification IDs from amplifications.bin, where index corresponds to item ID.
- amplifications.bin is binary file with layout:
reserved header (4-byte int), item ID 1 (4-byte int), amplification ID a_1 (4-byte int), … item ID n (4-byte int), amplification ID a_n (4-byte int)
- Args:
path (str): path to amplifications.bin file
- Returns:
- items_amps (numpy.ndarray): array of amplification IDs, where index
corresponds to item ID
- oasislmf.pytools.pla.structure.fill_post_loss_amplification_factors(event_id, count, cursor, valid_length, event_count, amp_factor, plafactors, secondary_factor)[source]¶
Fill Post Loss Amplification (PLA) factors dictionary mapped to event ID-item ID pair.
- Args:
event_id (int): current event ID count (int): number of remaning amplification IDs associated with
current event ID
cursor (int): position in buffer valid_length (int): length of buffer in 8-bit chunks event_count (numpy.ndarray): array of event ID-count pairs amp_factor (numpy.ndarray): array of amplification ID-loss pairs plafactors (numba.typed.typeddict.Dict): PLA factors dictionary secondary_factor (float): secondary factor to apply to post loss
amplification
- Returns:
event_id (int): current event ID count (int): number of remaining amplification IDs associated with
current event ID
plafactors (numba.typed.typeddict.Dict): PLA factors dictionary
- oasislmf.pytools.pla.structure.get_post_loss_amplification_factors(storage: oasis_data_manager.filestore.backends.base.BaseStorage, secondary_factor, uniform_factor, ignore_file_type=set())[source]¶
Get Post Loss Amplification (PLA) factors mapped to event ID-item ID pair. Returns empty dictionary if uniform factor to apply across all losses has been given.
- lossfactors.bin is binary file with layout:
reserved header (4-byte int), event ID 1 (4-byte int), number of amplification IDs for event ID 1 (4-byte int), amplification ID 1 (4-byte int), loss factor for amplification ID 1 (4-byte float), … amplification ID n (4-byte int), loss factor for amplification ID n (4-byte float), event ID 2 (4-byte int), number of amplification IDs for event ID 2 (4-byte int), … event ID N (4-byte int), number of amplification IDs for event ID N (4-byte int), amplification ID 1 (4-byte int), loss factor for amplification ID 1 (4-byte float), … amplification ID n (4-byte int), loss factor for amplification ID n (4-byte float)
- Args:
storage: (BaseStorage) the storage connector for fetching the model data secondary_factor (float): secondary factor to apply to post loss
amplification
uniform_factor (float): uniform factor to apply across all losses ignore_file_type: set(str) file extension to ignore when loading
- Returns:
plafactors (dict): event ID-item ID pairs mapped to amplification IDs