Jun 11, 2012 · The Python 2 documentation says: Built-in Functions: map (function, iterable, ...) Apply function to every item of iterable and return a list of the results. If additional iterable arguments are pa...

May 28, 2019 · According to Python docs: A container object that supports arbitrary key lookups and implements the methods specified in the Mapping or MutableMapping abstract base classes. Examples include: dict collections.defaultdict collections.OrderedDict collections.Counter. The class is a mapping if it implements all methods from the Mapping ...

The glossary defines it as: A container object that supports arbitrary key lookups and implements the methods specified in the Mapping or MutableMapping abstract base classes. Examples include dict, collections.defaultdict, collections.OrderedDict and collections.Counter. So it looks like the minimal list of methods to meet the definition is __getitem__, __iter__, __len__, __contains__, keys ...

Sep 1, 2012 · The idea is to subclass the original dict to give it the desired functionality: "mapping" a function over all the values. The plus point is that this dictionary can be used to store the original data as if it was a dict, while transforming any data on request with a callback.

Jul 19, 2024 · As suggested by the official Python (3.11) documentation, typing.Dict is preferred for annotating return types. To annotate arguments, it is preferred to use an abstract collection type such as Mapping.

Jul 26, 2015 · The Python API client can be a tricky to work with and it often requires you to provide the inner portions of JSON spec documentations to keyword arguments. For the put_mapping method, instead of providing it the full "mappings" JSON document you must give it the document_type parameter and only the inner portion of the "mappings" document like so: self.client.indices.put_mapping( index ...

Feb 29, 2016 · The collections.abc module provides several abstract base classes that can be used to generically describe the various kinds of data structures in Python. In your example, you test if an object is an instance of the Mapping abstract class, which will be true for many classes that "work like a dictionary" (e.g. they have a __getitem__ method that takes hashable keys and return values, have keys ...

I'm using python-spidermonkey, which internally uses PyMapping_Check to identify if the object being used as a global (in rt.new_context (global)) implements the mapping protocol. (This is basically a dictionary passed to python-spidermonkey so that javascript has limited access to python variables.)

Yes, but my question was whether there's any substantial difference between the rejected frozendict and the one you can create as a thin wrapper around MappingProxyType. Can you give example of some code that would work with the (rejected) PEP 416 frozendict but would not work with the frozendict that I defined in my question?

I am looking for ideas on how to translate one range values to another in Python. I am working on hardware project and am reading data from a sensor that can return a range of values, I am then using that data to drive an actuator that requires a different range of values.