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+Metadata-Version: 2.4
+Name: fpzip
+Version: 1.2.5
+Summary: Numpy wrapper for fpzip algorithm (P. Lindstrom & M. Isenburg, 2006)
+Home-page: https://github.com/seung-lab/fpzip/
+Author: William Silversmith
+Author-email: ws9@princeton.edu
+License: None
+Classifier: Intended Audience :: Developers
+Classifier: Development Status :: 5 - Production/Stable
+Classifier: Programming Language :: Python :: 3
+Classifier: Programming Language :: Python :: 3.7
+Classifier: Programming Language :: Python :: 3.8
+Classifier: Programming Language :: Python :: 3.9
+Classifier: Programming Language :: Python :: 3.10
+Classifier: Programming Language :: Python :: 3.11
+Classifier: Topic :: Scientific/Engineering
+Classifier: Topic :: System :: Archiving :: Compression
+Requires-Python: >=3.8,<4.0
+Description-Content-Type: text/markdown
+License-File: LICENSE
+License-File: AUTHORS
+Requires-Dist: numpy
+Dynamic: author
+Dynamic: author-email
+Dynamic: classifier
+Dynamic: description
+Dynamic: description-content-type
+Dynamic: home-page
+Dynamic: license
+Dynamic: license-file
+Dynamic: requires-dist
+Dynamic: requires-python
+Dynamic: summary
+
+[![PyPI version](https://badge.fury.io/py/fpzip.svg)](https://badge.fury.io/py/fpzip)
+
+# fpzip
+
+fpzip is a compression algorithm supporting lossless and lossy encoding for up to 4 dimensional floating point data. This package contains Python C++ bindings for the fpzip algorithm (version 1.3.0). The version number for this package is independent. Python 3.7+ is supported.
+
+```python
+import fpzip
+import numpy as np
+
+data = np.array(..., dtype=np.float32) # up to 4d float or double array
+# Compress data losslessly, interpreting the underlying buffer in C (default) or F order.
+compressed_bytes = fpzip.compress(data, precision=0, order='C') # returns byte string
+# Back to 3d or 4d float or double array, decode as C (default) or F order.
+data_again = fpzip.decompress(compressed_bytes, order='C') 
+```
+
+## Installation
+
+#### `pip` Binary Installation  
+
+```bash
+pip install fpzip
+```
+
+If we have a precompiled binary available the above command should just work. However, if you have to compile from sounce, it's unfortunately necessary to install numpy first because of a quirk in the Python installation procedure that won't easily recognize when a numpy installation completes in the same process. There are some hacks, but I haven't gotten them to work.
+
+#### `pip` Source Installation
+
+*Requires C++ compiler.*
+
+```bash
+pip install numpy
+pip install fpzip
+```
+
+#### Direct Installation
+
+*Requires C++ compiler.*  
+
+```bash
+$ pip install numpy
+$ python setup.py develop
+```
+
+## References
+
+Algorithm and C++ code by Peter Lindstrom and Martin Isenburg. Cython interface code by William Silversmith. Check out [Dr. Lindstrom's site](https://computing.llnl.gov/projects/fpzip) or the [fpzip Github page](https://github.com/LLNL/fpzip).
+
+1. Peter Lindstrom and Martin Isenburg, "[Fast and Efficient Compression of Floating-Point Data,](https://www.researchgate.net/publication/6715625_Fast_and_Efficient_Compression_of_Floating-Point_Data)" IEEE Transactions on Visualization and Computer Graphics, 12(5):1245-1250, September-October 2006, doi:[10.1109/TVCG.2006.143](http://dx.doi.org/10.1109/TVCG.2006.143).
+