qml.data.AttributeInfo

class AttributeInfo(attrs_bind=None, **kwargs)

Bases: MutableMapping

Contains metadata that may be assigned to a dataset attribute. Is stored in the HDF5 object’s attrs dict.

\*\*kwargs

Extra metadata to include. Must be a string, number or numpy array

Attributes

attrs_namespace
doc	Documentation for this attribute.
py_type	String representation of this attribute's python type.
attrs_bind	The HDF5 attrs dict that this instance is bound to, or any mutable mapping

attrs_namespace = 'qml.data'

doc

Documentation for this attribute.

py_type

String representation of this attribute’s python type.

attrs_bind

The HDF5 attrs dict that this instance is bound to, or any mutable mapping

Methods

bind_key(_AttributeInfo__name)	Returns __name dot-prefixed with attrs_namespace.
clear()
get(k[,d])
items()
keys()
load(info)	Inserts the values set in info into this instance.
pop(k[,d])	If key is not found, d is returned if given, otherwise KeyError is raised.
popitem()	as a 2-tuple; but raise KeyError if D is empty.
save(info)	Inserts the values set in this instance into info.
setdefault(k[,d])
update([E, ]**F)	If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v
values()

classmethod bind_key(_AttributeInfo__name)

Returns __name dot-prefixed with attrs_namespace.

clear() → None.  Remove all items from D.

get(k[, d]) → D[k] if k in D, else d.  d defaults to None.

items() → a set-like object providing a view on D's items

keys() → a set-like object providing a view on D's keys

load(info)

Inserts the values set in info into this instance.

pop(k[, d]) → v, remove specified key and return the corresponding value.

If key is not found, d is returned if given, otherwise KeyError is raised.

popitem() → (k, v), remove and return some (key, value) pair

as a 2-tuple; but raise KeyError if D is empty.

save(info)

Inserts the values set in this instance into info.

setdefault(k[, d]) → D.get(k,d), also set D[k]=d if k not in D

update([E, ]**F) → None.  Update D from mapping/iterable E and F.

If E present and has a .keys() method, does: for k in E: D[k] = E[k] If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v In either case, this is followed by: for k, v in F.items(): D[k] = v

values() → an object providing a view on D's values

code/api/pennylane.data.AttributeInfo

 

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