# jsonify¶

PyPhi- and NumPy-aware JSON serialization.

To be properly serialized and deserialized, PyPhi models must implement a to_json method which returns a dictionary of attribute names and attribute values. These attributes should be the names of arguments passed to the model constructor. If the constructor takes additional, fewer, or differnt arguments, the model needs to implement a custom from_json classmethod which takes a Python dictionary as an argument and returns a PyPhi object. For example:

class Phi:
def __init__(self, phi):
self.phi = phi

def to_json(self):
return {'phi': self.phi, 'twice_phi': 2 * self.phi}

@classmethod
def from_json(cls, json):
return Phi(json['phi'])


The model must also be added to jsonify._loadable_models.

The JSON encoder adds the name of the model and the current PyPhi version to the JSON stream. The JSON decoder uses this metadata to recursively deserialize the stream to a nested PyPhi model structure. The decoder will raise an exception if the version of the JSON does not match the current version of PyPhi.

pyphi.jsonify.jsonify(obj)

Return a JSON-encodable representation of an object, recursively using any available to_json methods, converting NumPy arrays and datatypes to native lists and types along the way.

class pyphi.jsonify.PyPhiJSONEncoder(skipkeys=False, ensure_ascii=True, check_circular=True, allow_nan=True, sort_keys=False, indent=None, separators=None, default=None)

Extension of the default JSONEncoder that allows for serializing PyPhi objects with jsonify.

Constructor for JSONEncoder, with sensible defaults.

If skipkeys is false, then it is a TypeError to attempt encoding of keys that are not str, int, float or None. If skipkeys is True, such items are simply skipped.

If ensure_ascii is true, the output is guaranteed to be str objects with all incoming non-ASCII characters escaped. If ensure_ascii is false, the output can contain non-ASCII characters.

If check_circular is true, then lists, dicts, and custom encoded objects will be checked for circular references during encoding to prevent an infinite recursion (which would cause an OverflowError). Otherwise, no such check takes place.

If allow_nan is true, then NaN, Infinity, and -Infinity will be encoded as such. This behavior is not JSON specification compliant, but is consistent with most JavaScript based encoders and decoders. Otherwise, it will be a ValueError to encode such floats.

If sort_keys is true, then the output of dictionaries will be sorted by key; this is useful for regression tests to ensure that JSON serializations can be compared on a day-to-day basis.

If indent is a non-negative integer, then JSON array elements and object members will be pretty-printed with that indent level. An indent level of 0 will only insert newlines. None is the most compact representation.

If specified, separators should be an (item_separator, key_separator) tuple. The default is (‘, ‘, ‘: ‘) if indent is None and (‘,’, ‘: ‘) otherwise. To get the most compact JSON representation, you should specify (‘,’, ‘:’) to eliminate whitespace.

If specified, default is a function that gets called for objects that can’t otherwise be serialized. It should return a JSON encodable version of the object or raise a TypeError.

encode(obj)

Encode the output of jsonify with the default encoder.

iterencode(obj, **kwargs)

Analog to encode used by json.dump.

pyphi.jsonify.dumps(obj, **user_kwargs)

Serialize obj as JSON-formatted stream.

pyphi.jsonify.dump(obj, fp, **user_kwargs)

Serialize obj as a JSON-formatted stream and write to fp (a .write()-supporting file-like object.

class pyphi.jsonify.PyPhiJSONDecoder(*args, **kwargs)

Extension of the default encoder which automatically deserializes PyPhi JSON to the appropriate model classes.

pyphi.jsonify.loads(string)

Deserialize a JSON string to a Python object.

pyphi.jsonify.load(fp)

Deserialize a JSON stream to a Python object.