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blockchain/utils/sdk/client/python/docs/TxProcessingPerformanceModel.md
Snider 2852702a4b Add Python SDK for lthn API
Introduces a new Python client SDK for the lthn API, generated via OpenAPI Generator. Includes source code, models, API classes, documentation, tests, CI/CD workflows for GitHub and GitLab, and project configuration files.
2025-10-19 15:15:41 +01:00

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TxProcessingPerformanceModel

Properties

Name Type Description Notes
tx_check_inputs int [optional]
tx_add_one_tx int [optional]
tx_process_extra int [optional]
tx_process_attachment int [optional]
tx_process_inputs int [optional]
tx_push_global_index int [optional]
tx_check_exist int [optional]
tx_print_log int [optional]
tx_prapare_append int [optional]
tx_append int [optional]
tx_append_rl_wait int [optional]
tx_append_is_expired int [optional]
tx_store_db int [optional]
tx_check_inputs_prefix_hash int [optional]
tx_check_inputs_attachment_check int [optional]
tx_check_inputs_loop int [optional]
tx_check_inputs_loop_kimage_check int [optional]
tx_check_inputs_loop_ch_in_val_sig int [optional]
tx_check_inputs_loop_scan_outputkeys_get_item_size int [optional]
tx_check_inputs_loop_scan_outputkeys_relative_to_absolute int [optional]
tx_check_inputs_loop_scan_outputkeys_loop int [optional]
tx_check_inputs_loop_scan_outputkeys_loop_get_subitem int [optional]
tx_check_inputs_loop_scan_outputkeys_loop_find_tx int [optional]
tx_check_inputs_loop_scan_outputkeys_loop_handle_output int [optional]
tx_mixin_count int [optional]

Example

from lthn.models.tx_processing_performance_model import TxProcessingPerformanceModel

# TODO update the JSON string below
json = "{}"
# create an instance of TxProcessingPerformanceModel from a JSON string
tx_processing_performance_model_instance = TxProcessingPerformanceModel.from_json(json)
# print the JSON string representation of the object
print(TxProcessingPerformanceModel.to_json())

# convert the object into a dict
tx_processing_performance_model_dict = tx_processing_performance_model_instance.to_dict()
# create an instance of TxProcessingPerformanceModel from a dict
tx_processing_performance_model_from_dict = TxProcessingPerformanceModel.from_dict(tx_processing_performance_model_dict)

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