<div align=justify>
<div align=center>
automap
=======
[](https://github.com/brandtbucher/automap/releases)[](https://github.com/brandtbucher/automap/actions)[](https://github.com/brandtbucher/automap/issues)
<br>
</div>
`automap` is a Python package containing high-performance autoincremented
integer-valued mappings.
To install, just run `pip install automap`.
Examples
--------
`automap` objects are sort of like "inverse sequences". They come in two
variants:
### FrozenAutoMap
```py
>>> from automap import FrozenAutoMap
```
`FrozenAutoMap` objects are immutable. They can be constructed from any iterable
of hashable, unique keys.
```py
>>> a = FrozenAutoMap("AAA")
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
ValueError: 'A'
>>> a = FrozenAutoMap("ABC")
>>> a
automap.FrozenAutoMap(['A', 'B', 'C'])
```
The values are integers, incrementing according to the order of the original
keys:
```py
>>> a["A"]
0
>>> a["C"]
2
>>> a["X"]
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
KeyError: 'X'
```
The full `Mapping` interface is provided:
```py
>>> [*a.keys()]
['A', 'B', 'C']
>>> [*a.values()]
[0, 1, 2]
>>> [*a.items()]
[('A', 0), ('B', 1), ('C', 2)]
>>> a.get("X", 42)
42
>>> "B" in a
True
>>> [*a]
['A', 'B', 'C']
```
They may also be combined with each other using the `|` operator:
```py
>>> b = FrozenAutoMap(range(5))
>>> c = FrozenAutoMap(range(5, 10))
>>> b | c
automap.FrozenAutoMap([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
>>> b |= c # Note that b is reassigned, not mutated!
>>> b
automap.FrozenAutoMap([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])
```
### AutoMap
```py
>>> from automap import AutoMap
```
Unlike `FrozenAutoMap` objects, `AutoMap` objects can grow; new keys may be
added, but existing ones may not be deleted or changed.
```py
>>> d = AutoMap("ABC")
>>> d
automap.AutoMap(['A', 'B', 'C'])
>>> d |= "DEF" # Here, d *is* mutated!
>>> d
automap.AutoMap(['A', 'B', 'C', 'D', 'E', 'F'])
```
They also have `add` and `update` methods for adding new keys:
```py
>>> e = AutoMap(["I", "II", "III"])
>>> e.add("IV")
>>> e
automap.AutoMap(['I', 'II', 'III', 'IV'])
>>> e.update(["V", "VI", "VII"])
>>> e
automap.AutoMap(['I', 'II', 'III', 'IV', 'V', 'VI', 'VII'])
```
Performance
-----------
Tests show string-keyed `AutoMap` objects being created 70% faster and accessed
5% faster than the equivalent `dict` construction, on average. They also tend to
take up the same amount of memory. You can run `invoke performance` from this
repository to see the comparison on your machine.
More details on the design can be found in `automap.c`.
</div>
Raw data
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"description": "<div align=justify>\n\n<div align=center>\n\nautomap\n=======\n\n[](https://github.com/brandtbucher/automap/releases)[](https://github.com/brandtbucher/automap/actions)[](https://github.com/brandtbucher/automap/issues)\n\n<br>\n\n</div>\n\n`automap` is a Python package containing high-performance autoincremented\ninteger-valued mappings.\n\nTo install, just run `pip install automap`.\n\nExamples\n--------\n\n`automap` objects are sort of like \"inverse sequences\". They come in two\nvariants:\n\n### FrozenAutoMap\n\n```py\n>>> from automap import FrozenAutoMap\n```\n\n`FrozenAutoMap` objects are immutable. They can be constructed from any iterable\nof hashable, unique keys.\n\n\n```py\n>>> a = FrozenAutoMap(\"AAA\")\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nValueError: 'A'\n>>> a = FrozenAutoMap(\"ABC\")\n>>> a\nautomap.FrozenAutoMap(['A', 'B', 'C'])\n```\n\nThe values are integers, incrementing according to the order of the original\nkeys:\n\n```py\n>>> a[\"A\"]\n0\n>>> a[\"C\"]\n2\n>>> a[\"X\"]\nTraceback (most recent call last):\n File \"<stdin>\", line 1, in <module>\nKeyError: 'X'\n```\n\nThe full `Mapping` interface is provided:\n\n```py\n>>> [*a.keys()]\n['A', 'B', 'C']\n>>> [*a.values()]\n[0, 1, 2]\n>>> [*a.items()]\n[('A', 0), ('B', 1), ('C', 2)]\n>>> a.get(\"X\", 42)\n42\n>>> \"B\" in a\nTrue\n>>> [*a]\n['A', 'B', 'C']\n```\n\nThey may also be combined with each other using the `|` operator:\n\n```py\n>>> b = FrozenAutoMap(range(5))\n>>> c = FrozenAutoMap(range(5, 10))\n>>> b | c\nautomap.FrozenAutoMap([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\n>>> b |= c # Note that b is reassigned, not mutated!\n>>> b\nautomap.FrozenAutoMap([0, 1, 2, 3, 4, 5, 6, 7, 8, 9])\n```\n\n### AutoMap\n\n```py\n>>> from automap import AutoMap\n```\n\nUnlike `FrozenAutoMap` objects, `AutoMap` objects can grow; new keys may be\nadded, but existing ones may not be deleted or changed.\n\n```py\n>>> d = AutoMap(\"ABC\")\n>>> d\nautomap.AutoMap(['A', 'B', 'C'])\n>>> d |= \"DEF\" # Here, d *is* mutated!\n>>> d\nautomap.AutoMap(['A', 'B', 'C', 'D', 'E', 'F'])\n```\n\nThey also have `add` and `update` methods for adding new keys:\n\n```py\n>>> e = AutoMap([\"I\", \"II\", \"III\"])\n>>> e.add(\"IV\")\n>>> e\nautomap.AutoMap(['I', 'II', 'III', 'IV'])\n>>> e.update([\"V\", \"VI\", \"VII\"])\n>>> e\nautomap.AutoMap(['I', 'II', 'III', 'IV', 'V', 'VI', 'VII'])\n```\n\nPerformance\n-----------\n\nTests show string-keyed `AutoMap` objects being created 70% faster and accessed\n5% faster than the equivalent `dict` construction, on average. They also tend to\ntake up the same amount of memory. You can run `invoke performance` from this\nrepository to see the comparison on your machine.\n\nMore details on the design can be found in `automap.c`.\n\n</div>\n",
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