semvec/pypi-packages huggingface dataset:
trex2champ 2.1.6
A package to convert trexio files into various text input files for CHAMP code.
Keywords: trexio quantum monte carlo champ converter


# trex2champ

trex2champ is a tool which allows to read output files of quantum
chemistry codes (GAMESS and trexio files) and write input files for
CHAMP in V3.0 format.

## Installation

You can install  `trex2champ` from PyPI:

    pip install trex2champ

## Usage

You can use trex2champ by running the following command:

```bash
trex2champ \
	--trex 	"filename.trexio" \
	--backend	"HDF5" \
	--basis_prefix  "BFD-aug-cc-pVDZ" \
	--lcao \
	--ecp \
	--sym \
	--geom \
	--basis \
	--det
```

You may also use the `--help` flag to get more information about the available options:

```bash
trex2champ --help
```

## License

trex2champ is distributed under the terms of the MIT license.

## Issues

If you encounter any problems, please report them on the Github issue tracker.

## Author

Dr. Ravindra Shinde
r.l.shinde@utwente.nl
TremendousClient 0.0.7
Tremendous Api Client Python package
Requires Python: >=3.6

[![PyPI version](https://img.shields.io/pypi/v/TremendousClient.svg)](https://pypi.python.org/pypi/TremendousClient)

# Tremendous Api Client Python PyPackage

Tremendous Api Client client is a Python library to access services quickly.

## Installation

Use the package manager [pip](https://pip.pypa.io/en/stable/) to install foobar.

```bash
pip install TremendousClient
```
## Environment Variables

```bash
TREMENDOUS_ENV: 'dev|prod'
TREMENDOUS_TOKEN: 'TREMENDOUS TOKEN'
```
### Note
If you don't want to set this variables from global environment you can pass them to class.
You can see usage below
## Usage

```python
from tremendous import TremendousService

kwargs = {
    # you can also set tremendous environment from environment.
    'environment': 'dev|prod',  # Default value : dev
    # you can also set token from environment.
    'token': 'tremendous token',  # Default value : None
}
# Initialize client with
tremendous_service = TremendousService()
# or tremendous_service = TremendousService(**kwargs)

# For Products
products = tremendous_service.getProducts()

# For Funding Source
funding_source = tremendous_service.getFundingSource()

# For Create Order
body = {
        "payment": {
            "funding_source_id": "funding_source_id"
        },
        "rewards": [
            {
                "products": [
                    "product_id"
                ],
                "value": {
                    "denomination": 2,
                    "currency_code": "USD"
                },
                "recipient": {
                    "name": "John Doe Jr.",
                    "email": "johndoe@example.com"
                },
                "delivery": {
                    "method": "LINK"
                }
            }
        ]
    }
order = tremendous_service.createOrder(body)

```

## Contributing

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change.

## License

[MIT](https://choosealicense.com/licenses/mit/)
ensemble-model 0.0.1
ensemble toolkit for kagglers
Requires Python: >=3.6

# ensemble
Simple program that helps you ensemble submission file for kagglers. 

## Install

```bash
pip install ensemble
```

## Usage

```bash
ensemble --help
```

## Example

```bash
ensemble submission1.csv,submission2.csv,submission3.csv -w 0.3,0.3,0.4 -o output.csv
```