data-prep-toolkit-ray


Namedata-prep-toolkit-ray JSON
Version 0.2.1 PyPI version JSON
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home_pageNone
SummaryData Preparation Toolkit Library for Ray
upload_time2024-09-25 20:33:24
maintainerNone
docs_urlNone
authorNone
requires_python>=3.10
licenseApache-2.0
keywords data data preprocessing data preparation llm generative ai fine-tuning llmapps
VCS
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requirements No requirements were recorded.
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            # Data Processing Library
This provides a python framework for developing _transforms_
on data stored in files - currently parquet files are supported -
and running them in a [ray](https://www.ray.io/) cluster.
Data files may be stored in the local file system or  COS/S3.
For more details see the [documentation](../doc/overview.md).

### Virtual Environment
The project uses `pyproject.toml` and a Makefile for operations.
To do development you should establish the virtual environment
```shell
cd data-processing-lib/ray/
make venv
```
and then either activate
```shell
source venv/bin/activate
```
or set up your IDE to use the venv directory when developing in this project

## Library Artifact Build and Publish
To test, build and publish the library 
```shell
make test build publish
```
To up the version number, edit the Makefile to change VERSION and rerun
the above.  This will require committing both the `Makefile` and the
autotmatically updated `pyproject.toml` file.



            

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    "author_email": "David Wood <dawood@us.ibm.com>, Boris Lublinsky <blublinsky@ibm.com>",
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    "description": "# Data Processing Library\nThis provides a python framework for developing _transforms_\non data stored in files - currently parquet files are supported -\nand running them in a [ray](https://www.ray.io/) cluster.\nData files may be stored in the local file system or  COS/S3.\nFor more details see the [documentation](../doc/overview.md).\n\n### Virtual Environment\nThe project uses `pyproject.toml` and a Makefile for operations.\nTo do development you should establish the virtual environment\n```shell\ncd data-processing-lib/ray/\nmake venv\n```\nand then either activate\n```shell\nsource venv/bin/activate\n```\nor set up your IDE to use the venv directory when developing in this project\n\n## Library Artifact Build and Publish\nTo test, build and publish the library \n```shell\nmake test build publish\n```\nTo up the version number, edit the Makefile to change VERSION and rerun\nthe above.  This will require committing both the `Makefile` and the\nautotmatically updated `pyproject.toml` file.\n\n\n",
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