Metadata-Version: 2.1
Name: mo-dots
Version: 9.101.22008
Summary: More Dots! Dot-access to Python dicts like Javascript
Home-page: https://github.com/klahnakoski/mo-dots
Author: Kyle Lahnakoski
Author-email: kyle@lahnakoski.com
License: MPL 2.0
Description: 
        # More Dots!
        
        [![PyPI Latest Release](https://img.shields.io/pypi/v/mo-dots.svg)](https://pypi.org/project/mo-dots/)
        [![Build Status](https://app.travis-ci.com/klahnakoski/mo-dots.svg?branch=master)](https://travis-ci.com/github/klahnakoski/mo-dots)
         [![Coverage Status](https://coveralls.io/repos/github/klahnakoski/mo-dots/badge.svg?branch=dev)](https://coveralls.io/github/klahnakoski/mo-dots?branch=dev)
        [![Downloads](https://pepy.tech/badge/mo-dots)](https://pepy.tech/project/mo-dots)
        
        #### Changes in version 9.x.x
        
        Escaping a literal dot (`.`) is no longer (`\\.`) rather double-dot ('..')
        
        #### Changes in version 5.x.x
        
        The `Data()` constructor only accepts keyword parameters. It no longer accepts a dict, nor does it attempt to clean the input. 
          
        
        ## Overview
        
        This library defines a `Data` class that can serve as a replacement for `dict`, with additional features. 
        
            >>> from mo_dots import to_data, Data
        
        *See the [full documentation](https://github.com/klahnakoski/mo-dots/tree/dev/docs) for all the features of `mo-dots`*
        
        ### Create instances
        
        Define `Data` using named parameters, just like you would a `dict`
        
            >>> Data(b=42, c="hello world")
            Data({'b': 42, 'c': 'hello world'})
        
        You can also wrap existing `dict`s so they can be used like `Data`
        
            >>> to_data({'b': 42, 'c': 'hello world'})
            Data({'b': 42, 'c': 'hello world'})
        
        ### Dot Access
        
        Access properties with attribute dots: `a.b == a["b"]`. You have probably seen this before.
        
        ### Path Access
        
        Access properties by dot-delimited path.
        
        	>>> a = to_data({"b": {"c": 42}})
        	>>> a["b.c"] == 42
        	True
        
        ### Safe Access
        
        If a property does not exist then return `Null` rather than raising an error.
        
        	>>> a = Data()
        	a == {}
        	>>> a.b == None
        	True
        	>>> a.b.c == None
        	True
        	>>> a[None] == None
        	True
        
        ### Path assignment
        
        No need to make intermediate `dicts`
        
            >>> a = Data()
            a == {}
            >>> a["b.c"] = 42   # same as a.b.c = 42
            a == {"b": {"c": 42}}
        
        ### Path accumulation
        
        Use `+=` to add to a property; default zero (`0`)
        
            >>> a = Data()
            a == {}
            >>> a.b.c += 1
            a == {"b": {"c": 1}}
            >>> a.b.c += 42
            a == {"b": {"c": 43}}
        
        Use `+=` with a list ([]) to append to a list; default empty list (`[]`)
        
            >>> a = Data()
            a == {}
            >>> a.b.c += [1]
            a == {"b": {"c": [1]}}
            >>> a.b.c += [42]
            a == {"b": {"c": [1, 42]}}
        
        ## Serializing to JSON
        
        The standard Python JSON library does not recognize `Data` as serializable.  You may overcome this by providing `default=from_data`; which converts the data structures in this module into Python primitives of the same. 
        
            from mo_dots import from_data, to_data
            
            s = to_data({"a": ["b", 1]})
            result = json.dumps(s, default=from_data)  
        
        Alternatively, you may consider [mo-json](https://pypi.org/project/mo-json/) which has a function `value2json` that converts a larger number of data structures into JSON.
        
        
        ## Summary
        
        This library is the basis for a data transformation algebra: We want a succinct way of transforming data in Python. We want operations on data to result in yet more data. We do not want data operations to raise exceptions. This library is solves Python's lack of consistency (lack of closure) under the dot (`.`) and slice `[::]` operators when operating on data objects. 
        
        [Full documentation](https://github.com/klahnakoski/mo-dots/tree/dev/docs)
        
Platform: UNKNOWN
Classifier: Development Status :: 5 - Production/Stable
Classifier: Topic :: Software Development :: Libraries
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Classifier: License :: OSI Approved :: Mozilla Public License 2.0 (MPL 2.0)
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.9
Description-Content-Type: text/markdown
Provides-Extra: tests
