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.gitignore

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/bak
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/queries
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results/
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tester.py
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tester.py

docs/.buildinfo

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# Sphinx build info version 1
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# This file hashes the configuration used when building these files. When it is not found, a full rebuild will be done.
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config: 4ab3bf126d242c5a4b19ae9be6501bfc
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config: 36a50eec767510d4c12e6cdbe91ae47a
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tags: 645f666f9bcd5a90fca523b33c5a78b7

docs/_sources/autoapi/ontouml_models_lib/catalog/index.rst.txt

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@@ -27,8 +27,8 @@ ontouml_models_lib.catalog
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--------
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Example 1: Loading a Catalog and Executing a Single Query on All Models
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> # Initialize the catalog with the path to the directory
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>>> catalog = Catalog('/path/to/catalog')
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Example 2: Filtering Models by Attributes and Executing Multiple Queries
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> # Initialize the catalog
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>>> catalog = Catalog('/path/to/catalog')
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Example 3: Executing Multiple Queries on a Specific Model
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> # Initialize the catalog
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>>> catalog = Catalog('/path/to/catalog')
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--------
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Basic usage example of the `Catalog` class:
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> # Initialize the catalog with the path to the directory
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>>> catalog = Catalog('/path/to/catalog')
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Example usage:
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> catalog = Catalog('/path/to/catalog')
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>>> query = Query('./queries/query.sparql') # Load a SPARQL query from a file
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>>> model = catalog.get_model('some_model_id') # Retrieve a model by its ID
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Example usage:
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> catalog = Catalog('/path/to/catalog')
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>>> query = Query('./queries/query.sparql') # Load a SPARQL query from a file
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>>> catalog.execute_query_on_all_models(query) # Execute the query on all models
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Example usage:
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> catalog = Catalog('/path/to/catalog')
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>>> model = catalog.get_model('some_model_id') # Retrieve a model by its ID
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>>> queries = Query.load_queries('./queries') # Load multiple SPARQL queries from a directory
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Example usage:
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> catalog = Catalog('/path/to/catalog')
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>>> models = catalog.get_models(language="en") # Filter models by language
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>>> queries = Query.load_queries('./queries') # Load multiple SPARQL queries from a directory
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Example usage:
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>>> from catalog import Catalog
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>>> from query import Query
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>>> from ontouml_models_lib import Catalog
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>>> from ontouml_models_lib import Query
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>>> catalog = Catalog('/path/to/catalog')
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>>> queries = Query.load_queries('./queries') # Load multiple SPARQL queries from a directory
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>>> catalog.execute_queries_on_all_models(queries) # Execute the queries on all models
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Example usage:
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>>> from catalog import Catalog
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>>> from ontouml_models_lib import Catalog
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>>> catalog = Catalog('/path/to/catalog')
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>>> model = catalog.get_model('some_model_id') # Retrieve a model by its unique ID
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Example usage:
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>>> from catalog import Catalog
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>>> from ontouml_models_lib import Catalog
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>>> catalog = Catalog('/path/to/catalog')
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>>> # Filter models by a single attribute (language)
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>>> filtered_models = catalog.get_models(language="en")
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Example usage:
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>>> from catalog import Catalog
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>>> from ontouml_models_lib import Catalog
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>>> catalog = Catalog('/path/to/catalog')
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>>> catalog.remove_model_by_id('some_model_id') # Remove a model by its unique ID
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.. py:method:: _load_models()
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Load all ontology models from the specified directory.
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Load all ontology models from the catalog directory.
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This method is called internally by the initializer to scan the catalog directory for subfolders, each
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representing an ontology model. It loads the models from these subfolders and initializes them as instances of
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the `Model` class. The loaded models are stored in the `models` attribute.
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This method scans the catalog directory for subfolders, each representing an ontology model. It loads the models
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from these subfolders and initializes them as instances of the `Model` class. The loaded models are stored in
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the `models` attribute of the `Catalog` instance.
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:raises FileNotFoundError: If the catalog path does not contain any model subfolders.
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:raises FileNotFoundError: If the catalog directory does not contain any model subfolders.
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.. py:method:: _get_subfolders()
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Get the names of all subfolders in the catalog catalog_path.
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Retrieve the names of all subfolders in the catalog directory.
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This method identifies all subfolders within the catalog's `path_models` directory, which represent individual
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ontology models. The subfolders are expected to have the necessary ontology and metadata files for each model.
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:return: A list of subfolder names within the catalog directory.
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:rtype: list
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.. py:method:: _create_catalog_graph()
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Create a single RDFLib model_graph by merging all graphs from the models.
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Create a merged RDFLib graph from all loaded models in the catalog.
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This method combines the RDF graphs of all loaded models into a single RDFLib `Graph` object. The merged graph
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allows for executing SPARQL queries across the entire catalog, enabling comprehensive queries that span multiple
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models.
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:return: A merged RDFLib graph containing all triples from the models in the catalog.
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:rtype: Graph
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.. py:method:: _generate_compiled_results(results, compiled_file_path)
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Generate a compiled CSV file from results of all models.
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Generate a compiled CSV file from the results of all models.
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This method compiles the results of SPARQL queries executed across multiple models into a single CSV file.
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The compiled file is saved at the specified `compiled_file_path`. The method ensures that the results are
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formatted as a tabular dataset, with the `model_id` column appearing first.
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:param results: A list of dictionaries containing the results from multiple models.
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:type results: list[dict]
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:param compiled_file_path: The path where the compiled CSV file will be saved.
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:type compiled_file_path: Path
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.. py:method:: _match_model(model, filters, operand)
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Check if a model matches the given attribute restrictions.
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Check if a model matches the specified attribute filters.
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This method evaluates whether a model meets the attribute restrictions defined in the `filters` dictionary.
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It supports combining multiple filters using logical operations ("and" or "or"), and returns a boolean
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indicating whether the model satisfies the filter conditions.
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:param model: The model to check.
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:param model: The model to be checked against the filters.
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:type model: Model
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:param filters: Attribute restrictions to filter models.
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:type filters: dict
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:param operand: Logical operand for combining filters ("and" or "or").
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:param filters: A dictionary of attribute restrictions used to filter models. Attribute names and values are
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passed as keyword arguments.
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:type filters: dict[str, Any]
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:param operand: Logical operand for combining filters ("and" or "or"). Defaults to "and".
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:type operand: str
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:return: True if the model matches the restrictions, False otherwise.
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:return: True if the model matches the filter conditions; False otherwise.
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:rtype: bool
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:raises ValueError: If an invalid operand is provided (not "and" or "or").
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.. py:method:: _match_single_filter(model, attr, value)
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Check if a model matches a single attribute restriction.
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Check if a model matches a single attribute filter.
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This method evaluates whether a model meets a single attribute restriction. It compares the model's attribute
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value to the provided filter value and returns a boolean indicating whether there is a match. It handles both
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single-value and list-value comparisons.
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:param model: The model to check.
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:param model: The model to be checked against the filter.
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:type model: Model
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:param attr: The attribute name to filter by.
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:param attr: The name of the attribute to filter by.
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:type attr: str
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:param value: The attribute value or list of values to filter by.
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:param value: The expected value or list of values to filter by.
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:type value: Any
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:return: True if the model matches the restriction, False otherwise.
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:return: True if the model's attribute matches the filter; False otherwise.
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:rtype: bool
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