Metadata-Version: 2.1
Name: ccinput
Version: 1.2.2
Summary: Computational Chemistry Input Generator
Home-page: http://github.com/cyllab/ccinput
Author: Raphaël Robidas
Author-email: Raphael.Robidas@USherbrooke.ca
License: BSD 3-Clause
Platform: UNKNOWN
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Chemistry
Requires-Python: >=3.6
Description-Content-Type: text/markdown
License-File: LICENSE

# Computational Chemistry Input Generator

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`ccinput` is an application to generate input files for computational chemistry software.

Example usage:
```
$ ccinput gaussian opt M062X -bs def2tzvp -f ethanol.xyz -n 8 --mem 32G
%chk=calc.chk
%nproc=8
%mem=32000MB
#p opt M062X/Def2TZVP

File created by ccinput

0 1
C   -1.31970000  -0.64380000   0.00000000
H   -0.96310000  -1.65260000   0.00000000
H   -0.96310000  -0.13940000  -0.87370000
H   -2.38970000  -0.64380000   0.00000000
C   -0.80640000   0.08220000   1.25740000
H   -1.16150000   1.09160000   1.25640000
H   -1.16470000  -0.42110000   2.13110000
O    0.62360000   0.07990000   1.25870000
H    0.94410000   0.53240000   2.04240000

```

`ccinput` can also be used as python library:

```
>>> from ccinput.wrapper import gen_input
>>> inp = gen_input(software="orca", type="ts", method="PBEh-3c", in_file="ethanol.xyz", nproc=16, solvent="ethanol", solvation_model="SMD")
*** No solvation radii specified; using default radii ***
>>> print(inp)
!OPTTS PBEh-3c
*xyz 0 1
C   -1.31970000  -0.64380000   0.00000000
H   -0.96310000  -1.65260000   0.00000000
H   -0.96310000  -0.13940000  -0.87370000
H   -2.38970000  -0.64380000   0.00000000
C   -0.80640000   0.08220000   1.25740000
H   -1.16150000   1.09160000   1.25640000
H   -1.16470000  -0.42110000   2.13110000
O    0.62360000   0.07990000   1.25870000
H    0.94410000   0.53240000   2.04240000
*
%pal
nprocs 16
end
%cpcm
smd true
SMDsolvent "ethanol"
end
>>>
```

## Installation
### From PyPI
```
pip install ccinput
```

### From Github
You can install the bleeding-edge version of `ccinput` from Github:
```
pip install git+https://github.com/cyllab/ccinput
```

## Usage
`ccinput` supports a wide range of options, including different solvation radii, density fitting and multiple basis sets. As of now, Gaussian 16 and ORCA 5 are supported, and more packages will be added in the future.
### From the command line
Simply use the `ccinput` command with the desired parameters:
```
usage: ccinput [-h] [--basis_set BASIS_SET] [--solvent SOLVENT] [--solvation_model SOLVATION_MODEL]
               [--solvation_radii SOLVATION_RADII] [--custom_solvation_radii CUSTOM_SOLVATION_RADII]
               [--specifications SPECIFICATIONS] [--density_fitting DENSITY_FITTING]
               [--custom_basis_sets CUSTOM_BASIS_SETS] [--xyz XYZ] [--file FILE] [--output OUTPUT]
               [--constraints CONSTRAINTS] [--freeze ATOM [ATOM ...]] [--scan ATOM [ATOM ...]]
               [--from FROM] [--to TO] [--nsteps NSTEPS] [--step STEP] [--nproc NPROC] [--mem MEM]
               [--charge CHARGE] [--mult MULT] [--d3 | --d3bj] [--name NAME] [--aux_name AUX_NAME]
               [--header HEADER] [--version]
               software type method
```

More detailed information about each option can be obtained with the `ccinput -h` command.

### As Python library
The function `gen_input` returns input files as a single strings with the correct whitespace.

```
>>> from ccinput.wrapper import gen_input
>>> inp = gen_input(...)
```

The input can also be directly written to a file using `write_input`.
```
>>> from ccinput.wrapper import write_input
>>> write_input(filename, ...)
```

See the [documentation](https://ccinput.readthedocs.io/en/latest/usage.html) for all options.

## Contributing

We welcome all contributions to the project. This includes:

- Support for new packages (even if rudimentary)
- Support for new features of supported packages
- Correction or improvement of static data (like DFT functionals or basis sets)

Planned tasks are listed in the [roadmap](https://github.com/orgs/cyllab/projects/1/views/1). This can be a good place to start when looking to contribute, although do not limit yourself to what is listed there. The contribution guidelines are detailed in CONTRIBUTING.md.


