semvec/pypi-packages huggingface dataset:
signature-roster-reconciliation 1.1.0
Roster vs Orders reconciliation tool for Signature Locker
License: MIT
Requires Python: >=3.8
Keywords: roster, reconciliation, signature, locker, orders

# Signature Roster Reconciliation

A tool for reconciling Program Director roster data against Shopify order data to identify ordering issues.

## Installation

```bash
pip install signature-roster-reconciliation
```

## Usage

```bash
signature-reconcile roster.xlsx orders.xlsx --output report.xlsx
```

### Options

- `--roster-sheet SHEET` - Specify which sheet to use from the roster file
- `--output FILE` - Output filename (default: reconciliation_report.xlsx)
- `--misspelling-threshold N` - Similarity threshold for misspelling detection (0-1, default: 0.7)

## What It Detects

| Issue | Description |
|-------|-------------|
| Not Ordered | Players on roster who haven't placed an order |
| True Duplicates | Same player with multiple uniform orders |
| Sibling Orders | Family members ordering (informational) |
| Wrong Team | Player ordered for a different team |
| Misspellings | Name variations between roster and order |
| Size Outliers | Unusual sizes compared to team average |
| Uniform Mismatches | Order number doesn't match roster |

## Output

Generates an Excel report with multiple tabs:
- Summary
- Not Ordered
- True Duplicates
- Sibling Orders
- Wrong Team
- Potential Misspellings
- Size Outliers
- Uniform Number Mismatches
- Team Summary
- Data Quality Warnings
- Processed Roster Data
- Processed Orders Data

## License

MIT License - Signature Athletics
docify 1.2.1
A script to add docstrings to Python type stubs using reflection
License: MIT
Requires Python: >=3.8

# docify

A script to add docstrings to Python type stubs using reflection

## Features

- Uses [LibCST](https://github.com/Instagram/LibCST) to parse and modify the stub file
- Dynamically imports the actual module to get the runtime docstring
- Handles most `sys.version` and `sys.platform` conditional blocks, will only add docstrings to the correct branch
- Able to modify files in-place with `-i` or `--in-place`
- Won't overwrite existing docstrings
- With `-b` or `--builtins-only`, will only add docstrings for modules found in `sys.builtin_module_names` (stdlib modules written in C).
- With `--if-needed`, will only add docstrings if the object's (Python) source code is unavailable. Useful for language servers like [basedpyright](https://github.com/DetachHead/basedpyright) that are able to extract docstrings from source code.

## Installation

Install from [PyPI](https://pypi.org/project/docify/):

```sh
pip install docify

docify
# or
python -m docify
```

Or from [conda-forge](https://anaconda.org/conda-forge/docify):

```sh
conda install conda-forge::docify

docify
# or
python -m docify
```

Or just download and run the script directly:

```sh
# Install dependencies
pip install libcst tqdm  # tqdm is optional, and is only used if not running with -q

python docify.py
# or
python -m docify
# or
chmod +x docify.py
./docify.py
```

## Usage

```
docify [-h] [-V] [-v] [-q] [-b] [--if-needed] (-i | -o OUTPUT_DIR) INPUT_DIR [INPUT_DIR ...]

A script to add docstrings to Python type stubs using reflection

positional arguments:
  INPUT_DIR             directory to read stubs from

options:
  -h, --help            show this help message and exit
  -V, --version         show program's version number and exit
  -v, --verbose         increase verbosity
  -q, --quiet           decrease verbosity
  -b, --builtins-only   only add docstrings to modules found in `sys.builtin_module_names`
  --if-needed           only add a docstring if the object's source code cannot be found
  --workers WORKERS     set the number of worker processes to use. Use 1 to disable multiple processes, and 0 to auto-detect using the number of processors (default)
  -i, --in-place        modify stubs in-place
  -o, --output OUTPUT_DIR
                        directory to write modified stubs to
```