forked from lthn/blockchain
54 lines
2.4 KiB
Markdown
54 lines
2.4 KiB
Markdown
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# TxProcessingPerformanceModel
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**tx_check_inputs** | **int** | | [optional]
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**tx_add_one_tx** | **int** | | [optional]
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**tx_process_extra** | **int** | | [optional]
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**tx_process_attachment** | **int** | | [optional]
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**tx_process_inputs** | **int** | | [optional]
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**tx_push_global_index** | **int** | | [optional]
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**tx_check_exist** | **int** | | [optional]
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**tx_print_log** | **int** | | [optional]
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**tx_prapare_append** | **int** | | [optional]
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**tx_append** | **int** | | [optional]
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**tx_append_rl_wait** | **int** | | [optional]
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**tx_append_is_expired** | **int** | | [optional]
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**tx_store_db** | **int** | | [optional]
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**tx_check_inputs_prefix_hash** | **int** | | [optional]
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**tx_check_inputs_attachment_check** | **int** | | [optional]
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**tx_check_inputs_loop** | **int** | | [optional]
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**tx_check_inputs_loop_kimage_check** | **int** | | [optional]
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**tx_check_inputs_loop_ch_in_val_sig** | **int** | | [optional]
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**tx_check_inputs_loop_scan_outputkeys_get_item_size** | **int** | | [optional]
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**tx_check_inputs_loop_scan_outputkeys_relative_to_absolute** | **int** | | [optional]
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**tx_check_inputs_loop_scan_outputkeys_loop** | **int** | | [optional]
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**tx_check_inputs_loop_scan_outputkeys_loop_get_subitem** | **int** | | [optional]
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**tx_check_inputs_loop_scan_outputkeys_loop_find_tx** | **int** | | [optional]
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**tx_check_inputs_loop_scan_outputkeys_loop_handle_output** | **int** | | [optional]
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**tx_mixin_count** | **int** | | [optional]
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## Example
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```python
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from lthn.models.tx_processing_performance_model import TxProcessingPerformanceModel
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# TODO update the JSON string below
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json = "{}"
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# create an instance of TxProcessingPerformanceModel from a JSON string
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tx_processing_performance_model_instance = TxProcessingPerformanceModel.from_json(json)
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# print the JSON string representation of the object
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print(TxProcessingPerformanceModel.to_json())
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# convert the object into a dict
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tx_processing_performance_model_dict = tx_processing_performance_model_instance.to_dict()
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# create an instance of TxProcessingPerformanceModel from a dict
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tx_processing_performance_model_from_dict = TxProcessingPerformanceModel.from_dict(tx_processing_performance_model_dict)
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```
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[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)
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