semvec/pypi-packages huggingface dataset:
conda-merge 0.3.1
Tool for merging conda environment files
License: MIT
Requires Python: >=3
Keywords: conda anaconda environment

conda-merge
===========

Tool for merging Conda (Anaconda) environment files into one file.
This is used to merge your application environment file with any other
environment file you might need (e.g. unit-tests, debugging, jupyter notebooks)
and create a consistent environment without breaking dependencies from the
previous environment files.

**Installation**:

::

    pip install conda-merge

**Usage**:

::

    conda-merge FILE1 FILE2 ... FILE-N > OUTPUT-FILE

A common problem with multiple environment files is that of pinned dependencies:
let's say ``environment.yml`` contains the dependency ``numpy=1.7``, and your
``dev-environment.yml`` contains ``pandas`` as a dependency. If you sequentially
apply the environment files (``conda env update -f environment.yml`` and then
``conda env update -f dev-environment.yml``) ``numpy`` will no longer be pinned
and will be upgraded to the latest version.

One option to solve it is by using the pinned dependencies file in the environment
directory, but this means storing your dependencies in another file which interacts
with ``environment.yml``, and makes the dependencies less clear to other users.
This script enables you to merge the two environment files and then run only
one ``conda env`` command to apply the change.
socialgroupdetection 0.0.1
a python library to detect social groups mentioned in political texts
License: MIT
Requires Python: <3.10,>=3.9

# socialgroupdetection

# Example usage

```python
from socialgroupdetection import SGA

# make sure you have BEARER_KEY set as an environment variable or you use bearer_key in constructor

sga = SGA(gwdg_server=True, bearer_key=None) # set bearer key to your gwdg/chatgpt key
response = sga.get_completion(prompt="The teleworker brings only his or her work tools offices are generally equipped and pays for access to the office?")
```

Returns:

 ```json
{
  "explizit": [
    "teleworker"
  ],
  "implizit": [],
  "sonstige": [
    "work tools",
    "offices"
  ]
}
```