# 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

```python
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)
```
[[Back to Model list]](../README.md#documentation-for-models) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to README]](../README.md)


