# cramjam-python
[](https://github.com/python/black)
[](https://github.com/milesgranger/pyrus-cramjam/actions?query=branch=master)
[](https://pypi.org/project/cramjam)
[](https://anaconda.org/conda-forge/cramjam)
[](https://pepy.tech/project/cramjam)
[API Documentation](https://docs.rs/cramjam)
### Install
```commandline
pip install --upgrade cramjam # Requires no Python or system dependencies!
```
### CLI
A CLI interface is available as [`cramjam-cli`](./../cramjam-cli)
---
Extremely thin Python bindings to de/compression algorithms in Rust.
Allows for using algorithms such as Snappy, without any system dependencies.
This is handy when being used in environments like AWS Lambda, where installing
packages like `python-snappy` becomes difficult because of system level dependencies.
---
##### Benchmarks
Some basic benchmarks are available [in the benchmarks directory](./benchmarks/README.md)
---
Available algorithms:
- [X] Snappy (cramjam.snappy)
- [X] Brotli (cramjam.brotli)
- [X] Bzip2 (cramjam.bzip2)
- [X] Lz4 (cramjam.lz4)
- [X] Gzip (cramjam.gzip)
- [X] Deflate (cramjam.deflate)
- [X] ZSTD (cramjam.zstd)
- [X] XZ / LZMA (cramjam.xz)
All available for use as:
```python
>>> import cramjam
>>> import numpy as np
>>> compressed = cramjam.snappy.compress(b"bytes here")
>>> decompressed = cramjam.snappy.decompress(compressed)
>>> decompressed
cramjam.Buffer(len=10) # an object which implements the buffer protocol
>>> bytes(decompressed)
b"bytes here"
>>> np.frombuffer(decompressed, dtype=np.uint8)
array([ 98, 121, 116, 101, 115, 32, 104, 101, 114, 101], dtype=uint8)
```
Where the API is `cramjam.<compression-variant>.compress/decompress` and accepts
`bytes`/`bytearray`/`numpy.array`/`cramjam.File`/`cramjam.Buffer` objects.
**de/compress_into**
Additionally, all variants support `decompress_into` and `compress_into`.
Ex.
```python
>>> import numpy as np
>>> from cramjam import snappy, Buffer
>>>
>>> data = np.frombuffer(b'some bytes here', dtype=np.uint8)
>>> data
array([115, 111, 109, 101, 32, 98, 121, 116, 101, 115, 32, 104, 101,
114, 101], dtype=uint8)
>>>
>>> compressed = Buffer()
>>> snappy.compress_into(data, compressed)
33 # 33 bytes written to compressed buffer
>>>
>>> compressed.tell() # Where is the buffer position?
33 # goodie!
>>>
>>> compressed.seek(0) # Go back to the start of the buffer so we can prepare to decompress
>>> decompressed = b'0' * len(data) # let's write to `bytes` as output
>>> decompressed
b'000000000000000'
>>>
>>> snappy.decompress_into(compressed, decompressed)
15 # 15 bytes written to decompressed
>>> decompressed
b'some bytes here'
```
**Special note!**
If you know the length of the de/compress output, you
can provide `output_len=<<some int>>` to any `de/compress`
to get ~1.5-3x performance increase as this allows single
buffer allocation; doesn't really apply if you're using `cramjam.Buffer`
or `cramjam.File` objects.
Raw data
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