semvec/pypi-packages huggingface dataset:
catcode 1.0.0
A Python library for secure encryption and decryption of sensitive data using the CatCode algorithm.
License: MIT
Keywords: encryption security cryptography catcode


```markdown
# catcode

The `catcode` module provides a secure encryption and decryption mechanism for sensitive data using the catcode algorithm.

## Installation

You can install `catcode` using pip:

```bash
pip install catcode
```

## Usage

```python
from catcode import catcode

# Create an instance of the catcode class
cc = catcode()

# Encrypt a message
message = "This is a secret message"
encrypted_message = cc.encrypt(message)
print(f"Encrypted Message: {encrypted_message}")

# Decrypt the message
decrypted_message = cc.decrypt(encrypted_message)
print(f"Decrypted Message: {decrypted_message}")
```

## Initialization

When you create an instance of the `catcode` class, it automatically initializes the encryption key. If a key is not found in the keyring, a new key is generated and stored securely.

## Methods

### `encrypt(message: str) -> str`

Encrypts the provided message using the catcode algorithm.

#### Parameters

- `message` (str): The message to be encrypted.

#### Returns

- `str`: The encrypted message.

### `decrypt(encrypted_message: str) -> str`

Decrypts the provided encrypted message using the catcode algorithm.

#### Parameters

- `encrypted_message` (str): The encrypted message to be decrypted.

#### Returns

- `str`: The decrypted original message.

## Example

```python
from catcode import catcode

# Create an instance of the catcode class
cc = catcode()

# Encrypt a message
message = "This is a secret message"
encrypted_message = cc.encrypt(message)

# Decrypt the message
decrypted_message = cc.decrypt(encrypted_message)

# Print the results
print(f"Original Message: {message}")
print(f"Encrypted Message: {encrypted_message}")
print(f"Decrypted Message: {decrypted_message}")
```

## Note

Make sure to keep your encryption key secure. The key is automatically generated and stored in the keyring. If you lose the key, you won't be able to decrypt your messages.

## License

This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.
```
idiff 0.0.1
Improve 2D powder diffraction patterns
License: MIT
Requires Python: >=3.6

IDIFF :: improving 2D diffraction patterns
------------------------------------------

* IDIFF improves 2D diffractograms by removing background and noise.

Quick start
-----------

* TODO

Documentation, help and examples
--------------------------------

* TODO

Versions of EDIFF
-----------------

* Version 0.0.1 = just draft
daylio-parser 0.4.2
A Python module to parse Daylio exports
License: MIT
Requires Python: >=3.10,<3.13
Keywords: daylio,parser,stats

[![ci-badge][]][ci-link] [![docs-badge][]][docs-link]
[![py-versions-badge][]][pypi-link] [![pypi-badge][]][pypi-link]

# daylio-parser

A Python module to parse Daylio CSV exports

## Development

Install `poetry`, `tox` and `tox-poetry`.

Installing the virtual env:

`$ poetry install`

Switching into the venv:

`$ poetry shell`

Running test for the current python version:

`$ pytest -v --cov=daylio_parser --cov-report term-missing tests`

Running all checks with tox prior to running GitHub actions:

`$ tox`

## TODO

- [x] Parse CSV into entries (parser.py)
- [x] Implement MoodConfig (config.py) to allow multiple moods
    - [x] Plus a default config for clean Daylio installs
- [ ] Stats
    - [ ] Mood stability algorithm
    - [x] Average moods by day
    - [x] Average mood by activity
    - [x] Find mood periods — aka periods of moods meeting certain criteria
    - [ ] Extend mood period search — search above, below and in between thresholds
- [x] Prepare data for plotting
    - [x] Splitting entries into bands
    - [x] Interpolating data for smooth charts
    - [x] Calculating rolling mean
- [ ] Re-export data into other formats
    - [ ] JSON

[ci-link]: https://github.com/staticf0x/daylio-parser/actions/workflows/check.yml
[ci-badge]: https://img.shields.io/github/workflow/status/staticf0x/daylio-parser/Check/master
[docs-link]: https://daylio-parser.readthedocs.io/en/latest/
[docs-badge]: https://img.shields.io/readthedocs/daylio-parser/latest
[py-versions-badge]: https://img.shields.io/pypi/pyversions/daylio-parser
[pypi-link]: https://pypi.org/project/daylio-parser/
[pypi-badge]: https://img.shields.io/pypi/v/daylio-parser