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Merge pull request #58 from RevEngAI/sdk-update-v2.46.0
🤖 Update SDK to version v2.46.0
2 parents e2b9928 + 9ca26b4 commit 6744c2f

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‎.sdk-version‎

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v2.43.0
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v2.46.0

‎README.md‎

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- [FunctionLocalVariableResponse](docs/FunctionLocalVariableResponse.md)
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- [FunctionMapping](docs/FunctionMapping.md)
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- [FunctionMappingFull](docs/FunctionMappingFull.md)
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- [FunctionMatchingBatchResponse](docs/FunctionMatchingBatchResponse.md)
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- [FunctionMatch](docs/FunctionMatch.md)
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- [FunctionMatchingFilters](docs/FunctionMatchingFilters.md)
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- [FunctionMatchingRequest](docs/FunctionMatchingRequest.md)
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- [FunctionMatchingResultWithBestMatch](docs/FunctionMatchingResultWithBestMatch.md)
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- [FunctionMatchingResponse](docs/FunctionMatchingResponse.md)
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- [FunctionNameHistory](docs/FunctionNameHistory.md)
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- [FunctionParamResponse](docs/FunctionParamResponse.md)
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- [FunctionRename](docs/FunctionRename.md)

‎docs/FunctionMatch.md‎

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# FunctionMatch
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## Properties
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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**function_id** | **int** | Unique identifier of the function |
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**matched_functions** | [**List[MatchedFunction]**](MatchedFunction.md) | |
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**confidences** | [**List[NameConfidence]**](NameConfidence.md) | | [optional]
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## Example
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```python
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from revengai.models.function_match import FunctionMatch
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# TODO update the JSON string below
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json = "{}"
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# create an instance of FunctionMatch from a JSON string
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function_match_instance = FunctionMatch.from_json(json)
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# print the JSON string representation of the object
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print(FunctionMatch.to_json())
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# convert the object into a dict
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function_match_dict = function_match_instance.to_dict()
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# create an instance of FunctionMatch from a dict
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function_match_from_dict = FunctionMatch.from_dict(function_match_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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docs/FunctionMatchingBatchResponse.md renamed to docs/FunctionMatchingResponse.md

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# FunctionMatchingBatchResponse
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# FunctionMatchingResponse
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## Properties
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**error_message** | **str** | | [optional]
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**current_page** | **int** | | [optional]
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**total_pages** | **int** | | [optional]
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**matches** | [**List[FunctionMatchingResultWithBestMatch]**](FunctionMatchingResultWithBestMatch.md) | | [optional]
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**matches** | [**List[FunctionMatch]**](FunctionMatch.md) | | [optional]
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**num_matches** | **int** | | [optional]
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**num_debug_matches** | **int** | | [optional]
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**updated_at** | **str** | | [optional]
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## Example
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```python
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from revengai.models.function_matching_batch_response import FunctionMatchingBatchResponse
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from revengai.models.function_matching_response import FunctionMatchingResponse
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# TODO update the JSON string below
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json = "{}"
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# create an instance of FunctionMatchingBatchResponse from a JSON string
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function_matching_batch_response_instance = FunctionMatchingBatchResponse.from_json(json)
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# create an instance of FunctionMatchingResponse from a JSON string
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function_matching_response_instance = FunctionMatchingResponse.from_json(json)
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# print the JSON string representation of the object
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print(FunctionMatchingBatchResponse.to_json())
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print(FunctionMatchingResponse.to_json())
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# convert the object into a dict
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function_matching_batch_response_dict = function_matching_batch_response_instance.to_dict()
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# create an instance of FunctionMatchingBatchResponse from a dict
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function_matching_batch_response_from_dict = FunctionMatchingBatchResponse.from_dict(function_matching_batch_response_dict)
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function_matching_response_dict = function_matching_response_instance.to_dict()
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# create an instance of FunctionMatchingResponse from a dict
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function_matching_response_from_dict = FunctionMatchingResponse.from_dict(function_matching_response_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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‎docs/FunctionMatchingResultWithBestMatch.md‎

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‎docs/FunctionsCoreApi.md‎

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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **analysis_function_matching**
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> FunctionMatchingBatchResponse analysis_function_matching(analysis_id, analysis_function_matching_request)
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> FunctionMatchingResponse analysis_function_matching(analysis_id, analysis_function_matching_request)
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Perform matching for the functions of an analysis
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```python
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import revengai
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from revengai.models.analysis_function_matching_request import AnalysisFunctionMatchingRequest
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from revengai.models.function_matching_batch_response import FunctionMatchingBatchResponse
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from revengai.models.function_matching_response import FunctionMatchingResponse
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from revengai.rest import ApiException
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from pprint import pprint
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### Return type
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[**FunctionMatchingBatchResponse**](FunctionMatchingBatchResponse.md)
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[**FunctionMatchingResponse**](FunctionMatchingResponse.md)
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### Authorization
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[[Back to top]](#) [[Back to API list]](../README.md#documentation-for-api-endpoints) [[Back to Model list]](../README.md#documentation-for-models) [[Back to README]](../README.md)
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# **batch_function_matching**
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> FunctionMatchingBatchResponse batch_function_matching(function_matching_request)
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> FunctionMatchingResponse batch_function_matching(function_matching_request)
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Perform function matching for an arbitrary batch of functions, binaries or collections
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```python
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import revengai
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from revengai.models.function_matching_batch_response import FunctionMatchingBatchResponse
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from revengai.models.function_matching_request import FunctionMatchingRequest
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from revengai.models.function_matching_response import FunctionMatchingResponse
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from revengai.rest import ApiException
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from pprint import pprint
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### Return type
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[**FunctionMatchingBatchResponse**](FunctionMatchingBatchResponse.md)
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[**FunctionMatchingResponse**](FunctionMatchingResponse.md)
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### Authorization
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‎docs/LoginRequest.md‎

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Name | Type | Description | Notes
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------------ | ------------- | ------------- | -------------
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**username** | **str** | User's username |
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**username** | **str** | User's username or email |
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**password** | **str** | User's password |
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## Example

‎revengai/__init__.py‎

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""" # noqa: E501
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__version__ = "v2.43.0"
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__version__ = "v2.46.0"
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# Define package exports
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__all__ = [
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"FunctionLocalVariableResponse",
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"FunctionMapping",
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"FunctionMappingFull",
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"FunctionMatchingBatchResponse",
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"FunctionMatch",
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"FunctionMatchingFilters",
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"FunctionMatchingRequest",
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"FunctionMatchingResultWithBestMatch",
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"FunctionMatchingResponse",
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"FunctionNameHistory",
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"FunctionParamResponse",
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"FunctionRename",
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from revengai.models.function_local_variable_response import FunctionLocalVariableResponse as FunctionLocalVariableResponse
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from revengai.models.function_mapping import FunctionMapping as FunctionMapping
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from revengai.models.function_mapping_full import FunctionMappingFull as FunctionMappingFull
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from revengai.models.function_matching_batch_response import FunctionMatchingBatchResponse as FunctionMatchingBatchResponse
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from revengai.models.function_match import FunctionMatch as FunctionMatch
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from revengai.models.function_matching_filters import FunctionMatchingFilters as FunctionMatchingFilters
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from revengai.models.function_matching_request import FunctionMatchingRequest as FunctionMatchingRequest
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from revengai.models.function_matching_result_with_best_match import FunctionMatchingResultWithBestMatch as FunctionMatchingResultWithBestMatch
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from revengai.models.function_matching_response import FunctionMatchingResponse as FunctionMatchingResponse
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from revengai.models.function_name_history import FunctionNameHistory as FunctionNameHistory
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from revengai.models.function_param_response import FunctionParamResponse as FunctionParamResponse
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from revengai.models.function_rename import FunctionRename as FunctionRename

‎revengai/api/functions_core_api.py‎

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from revengai.models.base_response_function_capability_response import BaseResponseFunctionCapabilityResponse
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from revengai.models.base_response_function_strings_response import BaseResponseFunctionStringsResponse
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from revengai.models.base_response_functions_detail_response import BaseResponseFunctionsDetailResponse
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from revengai.models.function_matching_batch_response import FunctionMatchingBatchResponse
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from revengai.models.function_matching_request import FunctionMatchingRequest
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from revengai.models.function_matching_response import FunctionMatchingResponse
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from revengai.api_client import ApiClient, RequestSerialized
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from revengai.api_response import ApiResponse
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) -> FunctionMatchingResponse:
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‎revengai/api_client.py‎

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self.user_agent = 'OpenAPI-Generator/v2.46.0/python'
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self.client_side_validation = configuration.client_side_validation
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def __enter__(self):

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