semvec/pypi-packages huggingface dataset:
costmodel 0.2.0
A cost model application with a Flask web interface.
License: MIT
Requires Python: >=3.6



  

  

# MOSTCOOL

  

## Requirements/Tested on:

  

1. Ubuntu 22.04 with administrator access (Also works on Virtual Machines).

  

2. At least Quad Core CPU

  

3. At least 16 GB RAM

  

4. At least 4 GB hard disk space

  

  

## How to run:

  

  

1. Install docker in your computer:

  

https://docs.docker.com/engine/install/

  

  

2. Clone this repo:

  

`git clone --branch cost-model https://github.com/NREL/CoolerChips.git`

  

  

3. cd into the cloned directory.

  

4. Download required dependencies and place them in these paths:

  

  
  


| File Name            | Link                                                                                          | Place in this path in local directory                          |
|----------------------|-----------------------------------------------------------------------------------------------|----------------------------------------------------------------|
| modes.csv            | [link](https://drive.google.com/file/d/19Ed_tRQhcz2zkdxL1GT-yD_eb6NXPUdn/view?usp=drive_link)    | EnergyPlusExample/ThermalModel_datacenter/Modes.csv            |
| PythonPOD_Solid.cgns | [link](https://drive.google.com/file/d/19H1HXCjzYx6ymz6PY_3xEAhDZdyza7D0/view?usp=sharing) | EnergyPlusExample/ThermalModel_datacenter/PythonPOD_Solid.cgns |

  

  

5. Build the container:

  

`docker compose build`

  
  
  

6. Give docker permission to display it's GUI app on host. This step must be repeated each time the computer/virtual machine is restarted: `xhost +local:docker`

  

7. Run the container:

  

`docker compose up`

  

  

8. You should see the app pop up:

  

![image](https://github.com/NREL/CoolerChips/assets/45446967/9189f34e-5b97-486d-8387-c5049401e23b)


  

  

## Sample results:

  

  

Simulation outputs:

  

![image](https://github.com/NREL/CoolerChips/assets/45446967/9dc5e93b-0303-4de4-87fd-588b7e70efc9)

  

  

Results from Paraview:

  

![image](https://github.com/NREL/CoolerChips/assets/45446967/f607abac-d3b3-4069-8778-86b1e5648a14)


## Individual Model Documentation:

1. Thermal model documentation can be found in the repo root as [NEITcool DOCUMENTATION.pdf](https://github.com/NREL/CoolerChips/blob/gui/NEITcool%20DOCUMENTATION.pdf).
2. EnergyPlus documentation can be found [here](https://energyplus.net/documentation). 
3. EnergyPlus Python API Documentation can be found [here](https://energyplus.readthedocs.io/en/latest/api.html).
langchain-netmind 0.1.0
An integration package connecting Netmind and LangChain
License: MIT
Requires Python: <4.0,>=3.9

# langchain-netmind

This package contains the LangChain integration with Netmind

## Installation

```bash
pip install -U langchain-netmind
```

And you should configure credentials by setting the following environment variables:

* TODO: fill this out

## Chat Models

`ChatNetmind` class exposes chat models from Netmind.

```python
from langchain_netmind import ChatNetmind

llm = ChatNetmind()
llm.invoke("Sing a ballad of LangChain.")
```

## Embeddings

`NetmindEmbeddings` class exposes embeddings from Netmind.

```python
from langchain_netmind import NetmindEmbeddings

embeddings = NetmindEmbeddings()
embeddings.embed_query("What is the meaning of life?")
```