semvec/pypi-packages huggingface dataset:
keepassxc-async 0.0.1
Asyncio-compatible client for the KeePassXC browser protocol.
Requires Python: >=3.12
Keywords: keepassxc,asyncio

# keepassxc-async

Asyncio-compatible client for the [KeePassXC browser protocol](https://github.com/keepassxreboot/keepassxc-browser/blob/develop/keepassxc-protocol.md).

Tested with KeePassXC 2.7.6. Please open an issue if there is an incompatibility with a different version.

## Usage

Minimal example to connect to a database for the first time:

```python
import asyncio
from keepassxc.database import Client, generate_identification_key

async def main():
    async with await Client.create() as client:
        await client.wait_unlocked()
        identification_key = generate_identification_key()
        assoc, meta = await client.associate(identification_key)
        print(f"Connected to KeePassXC {meta.version} with ID {assoc.id!r}.")

if __name__ == '__main__':
    asyncio.run(main())
```

For a complete example with different operations and including error handling, see `examples/example.py`.

## License

MIT License. Copyright © 2024 Max Lang. See `LICENSE` for details.
ykenan-ukbiobank 0.0.16
UK Biobank download
Requires Python: >=3.10
Keywords: YKenan,UK Biobank

# ykenan_ukbiobank

> upload

```shell
py -m build
twine check dist/*
twine upload dist/*
```

```shell
pip3 install ykenan_ukbiobank
```

```python
from ykenan_ukbiobank import Download

download = Download(
    ukbfetch_file="/mnt/f/software/ukbiobank/ukbfetch",
    bulk_file="/mnt/f/software/ukbiobank/ukb676745.bulk",
    key_file="/mnt/f/software/ukbiobank/k152703r676745.key",
    output_path="/mnt/f/software/ukbiobank/download"
)
download.run()
```
sgl2020 0.1.1
Data Wrapper for SGL2020 Aeromagnetic Survey
Requires Python: >=3.9

# sgl2020

Data wrapper for SGL2020 aeromagnetic survey.

## Features

- Automatic dataset file download and caching.
- Support multiple ways to select line data, such as selecting all lines, all lines for specific flights, line range, etc.
- Provide flight and sensor descriptions to help understand the structure and content of the dataset.

## Installation

```bash
# Stable
pip install sgl2020
# Nightly
pip install git+https://github.com/dorian-li/sgl2020.git
```

## Usage Cases

### Fetch Data

- Typical usage

  ```python
  from sgl2020 import Sgl2020

  surv_d = (
      Sgl2020()
      .line([1002.02, 1002.20])
      .source(
          [
              "ins_pitch",
              "ins_roll",
              "ins_yaw",
              "mag_1_c",
              "mag_5_uc",
              "flux_b_x",
              "flux_b_y",
              "flux_b_z",
          ]
      )
      .take()
  ) # Dict[line, DataFrame]
  ```

- Select lines

  ```python
  # The following usage can be combined with each other
  # Select all lines of all flight in dataset
  Sgl2020().line(["*.*"])
  # Select all lines in flight 1002
  Sgl2020().line(["1002.*"])
  # Select line 1002.02
  Sgl2020().line(["1002.02"])
  # Or use float
  Sgl2020().line([1002.02])
  # Select more lines
  Sgl2020().line([1002.02, 1002.20])
  # Select line range
  Sgl2020().line(["1002.01-1002.05"])
  ```

- The specific `line` and `source` can be found in `Sgl2020.describe()`

### Description

- Show all source infomation
  ```python
  Sgl2020.describe("sensor")
  ```
- Show infomation of flight `1002`
  ```python
  Sgl2020.describe("1002")
  # Or use integer
  Sgl2020.describe(1002)
  ```
- Show all flight infomation
  ```python
  Sgl2020.describe("flight")
  ```

# Thanks

Sincerely thank the [MagNav.jl](https://github.com/MIT-AI-Accelerator/MagNav.jl) team for their publicly available resources.

# Disclaimers

Regarding the authorization scope of data, please strictly follow the instructions of the original repo regarding the [Data Sharing Agreement](https://github.com/MIT-AI-Accelerator/MagNav.jl/blob/master/readmes/DATA_SHARING_AGREEMENT.md)
thyago-test-lib 0.0.1
Tableau Migration SDK
Requires Python: >=3.8

# Test Lib
## Usage

This will install the tableau_migration package
```
pip install thyago_test_lib
```

Once installed, you can use it the REPL or your own code
```Python
# This initializes the dotnet runtime on import
import thyago_test_lib

# Now just use the object
console = Console()
console.WriteMessage()
...
```