Skip to main content

frozndict is a memory efficient immutable dictionary.

Project description

Coverage Report License pypi version Circle ci Build Status Repo Size Banner

frozndict is a python package that acts as an alternative to frozenset, but for dictionaries.

🛠️ Requirements

frozndict requires Python 3.9 or above.

To install Python 3.9, I recommend using pyenv.

# install pyenv
git clone https://github.com/pyenv/pyenv ~/.pyenv

# setup pyenv (you should also put these three lines in .bashrc or similar)
# if you are using zsh
cat << EOF >> ~/.zshrc
# pyenv config
export PATH="${HOME}/.pyenv/bin:${PATH}"
export PYENV_ROOT="${HOME}/.pyenv"
eval "$(pyenv init -)"
EOF

# or if you using the default bash shell, do this instead:
cat << EOF >> ~/.bashrc
# pyenv config
export PATH="${HOME}/.pyenv/bin:${PATH}"
export PYENV_ROOT="${HOME}/.pyenv"
eval "$(pyenv init -)"
EOF
# Close and open a new shell session
# install Python 3.9.10
pyenv install 3.9.10

# make it available globally
pyenv global system 3.9.10

To manage the Python 3.9 virtualenv, I recommend using poetry.

# install poetry
curl -sSL https://install.python-poetry.org | python3 -
poetry --version
Poetry version 1.1.13

# Having the python executable in your PATH, you can use it:
poetry env use 3.9.10

# However, you are most likely to get the following issue:
Creating virtualenv frozndict-dxc671ba-py3.9 in ~/.cache/pypoetry/virtualenvs

ModuleNotFoundError

No module named 'virtualenv.seed.via_app_data'

at <frozen importlib._bootstrap>:973 in _find_and_load_unlocked

# To resolve it, you need to reinstall virtualenv through pip
sudo apt remove --purge python3-virtualenv virtualenv
python3 -m pip install -U virtualenv

# Now, you can just use the minor Python version in this case:
poetry env use 3.9.10
Using virtualenv: ~/.cache/pypoetry/virtualenvs/frozndict-dxc671ba-py3.9

🚨 Installation

With pip:

python3.9 -m pip install frozndict

With pipx:

python3.9 -m pip install --user pipx
pipx install --python python3.9 frozndict

🚸 Usage

>>> from frozndict import frozendict

# Empty immutable immutable dictionary.
>>> frozen_dict = frozendict({})
frozendict({})

# Non empty immutable immutable dictionary.
>>> frozen_dict = frozendict({"Greetings": "Hello World!"})
>>> frozen_dict
frozendict({'Greetings': 'Hello World!'})

# Get an item.
>>> frozen_dict["Greetings"]
'Hello World!'

# Copy a dictionary.
>>> frozen_dict_copy = frozen_dict.copy()
>>> frozen_dict_copy
{'Greetings': 'Hello World!'}

# Nested dictionary.
>>> frozen_dict_copy = frozendict({'x': 3, 'y': 4, 'z': {'a': 0, 'b': [3,1,{4,1},[5,9]]}}, c= 1)
>>> print(a.pretty_repr())
frozendict({
    x: 3,
    y: 4,
    z: {
        a: 0,
        b: [3, 1, {1, 4}, [5, 9]],
    },
    c: 1,
})

# Create an immutable dictionary using `fromkeys` method.
>>> frozen_dict = frozendict.fromkeys(["x", "y"], "5")
>>> frozen_dict
frozendict({'x': '5', 'y': '5'})

# Test uniqueness: frozendict(a=1,b=2) == frozendict(b=2,a=1)
>>> set([frozendict(a=1,b=2), frozendict(a=5), frozendict(b=2,a=1)])
{frozendict({'a': 5}), frozendict({'a': 1, 'b': 2})}

🚀 Similar Projects Comparaison

This project is similar to frozendict created by Marco Sulla.

>>> from frozndict import frozendict as myfrozendict
>>> from frozendict import frozendict

# create instances
>>> my_frozen_dict = myfrozendict({'x': 3, 'y': 4, 'z': {'a': 0, 'b': [3,1,{4,1},[5,9]]}}, c= 1)
>>> frozen_dict = frozendict({'x': 3, 'y': 4, 'z': {'a': 0, 'b': [3,1,{4,1},[5,9]]}}, c= 1)
>>> dict = dict({'x': 3, 'y': 4, 'z': {'a': 0, 'b': [3,1,{4,1},[5,9]]}}, c= 1)

# comparaison
>>> import sys
>>> tuple(map(sys.getsizeof, [frozen_dict, my_frozen_dict, dict]))
(248, 240, 232)

Notice my_frozen_dict takes less space in memory than frozen_dict!

🎉 Credits

These following projects were used to build and test frozndict.

👋 Contribute

If you are looking for a way to contribute to the project, please refer to the Guideline.

📝 License

This program and the accompanying materials are made available under the terms and conditions of the GNU GENERAL PUBLIC LICENSE.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

frozndict-1.0.6.tar.gz (7.7 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

frozndict-1.0.6-py3-none-any.whl (11.1 kB view details)

Uploaded Python 3

File details

Details for the file frozndict-1.0.6.tar.gz.

File metadata

  • Download URL: frozndict-1.0.6.tar.gz
  • Upload date:
  • Size: 7.7 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.9.10 Linux/5.13.0-1017-aws

File hashes

Hashes for frozndict-1.0.6.tar.gz
Algorithm Hash digest
SHA256 6dc77b75eb939cbdf63f85b241eaf50c41a2c1daa683824c2153a4c4b5f250e2
MD5 094f9e7675140a8591f49813bcafd839
BLAKE2b-256 a72d5910c0d43e1f856ccff09223e962cad6fe02c3e998bd42e5c0baf8e1b873

See more details on using hashes here.

File details

Details for the file frozndict-1.0.6-py3-none-any.whl.

File metadata

  • Download URL: frozndict-1.0.6-py3-none-any.whl
  • Upload date:
  • Size: 11.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.12 CPython/3.9.10 Linux/5.13.0-1017-aws

File hashes

Hashes for frozndict-1.0.6-py3-none-any.whl
Algorithm Hash digest
SHA256 db1cfb1be4077d2590e3d1c9fb4f29126237181007b6c91970075917fffbc415
MD5 66dbedbc103173afbdf1351ea2c0cb94
BLAKE2b-256 4dfaa7cd3f2948545c42372a2884ac262c57750d3231e410841bba816cb239f1

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page