Metadata¶
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class lsst.verify.Metadata(measurement_set, data=None)[source]¶
- Bases: - lsst.verify.jsonmixin.JsonSerializationMixin- Container for verification framework job metadata. - Metadata are key-value terms. Both keys and values should be JSON-serializable. - Parameters: - measurement_set : - lsst.verify.MeasurementSet, optional- When provided, metadata with keys prefixed by metric names are deferred to - Metadatainstances attached to measurements (- lsst.verify.Measurement.notes).- data : - dict, optional- Dictionary to seed metadata. - Attributes Summary - json- A - dictthat can be serialized as semantic SQUASH JSON.- Methods Summary - items()- Iterate over key-value metadata pairs. - jsonify_dict(d)- Recursively build JSON-renderable objects on all values in a dict. - keys()- Get a - listof metadata keys.- update(data)- Update metadata with key-value pairs from a - dict-like object.- write_json(filepath)- Write JSON to a file. - Attributes Documentation - 
json¶
- A - dictthat can be serialized as semantic SQUASH JSON.- Keys in the - dictare metadata keys (see- Metadata.keys). Values are the associated metadata values as JSON-serializable objects.
 - Methods Documentation - 
items()[source]¶
- Iterate over key-value metadata pairs. - Yields: - item : - tuple- A metadata item is a tuple of: - Key (str).
- Value (object).
 
- Key (
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jsonify_dict(d)¶
- Recursively build JSON-renderable objects on all values in a dict. - Parameters: - d : - dict- Dictionary to convert into a JSON-serializable object. Values are recursively JSON-ified. - Returns: - json_dict : - dict- Dictionary that can be serialized to JSON. - Examples - Subclasses can use this method to prepare output in their - json-method implementation. For example:- def json(self): return JsonSerializationMixin.jsonify_dict({ 'value': self.value, }) 
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keys()[source]¶
- Get a - listof metadata keys.- Returns: - These keys keys can be used to access metadata values (like a - dict).
 
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