CTT Dual-Frequency Resonance Compressor
Physics-based wavefield compression for neural networks.
- 33.27× compression ratio
- 0.8408 structural correlation
- ResNet-18 → 1.34MB
- MIT Licensed
- PyPI available
Installation
pip install ctt-dual-frequency
from dual_frequency_lzma import CTT2BitResonanceCompresso
### 4. Build and Upload Commands
Once the files are created, run these commands in order:
```bash
# Install build tools (if not already installed)
pip install setuptools wheel twine
# Build the package
python setup.py sdist bdist_wheel
# Upload to PyPI (you'll need an account on pypi.org)
twine upload dist/*
1 maintainer
Metadata
1 maintainer
Release files for ctt-dual-frequency 0.2.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| ctt_dual_frequency-0.2.0.tar.gz | 4.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| ctt_dual_frequency-0.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 8.9 kB
Release files / ctt_dual_frequency-0.2.0.tar.gz
| Download URL | ctt_dual_frequency-0.2.0.tar.gz |
|---|---|
| Size | 4.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
6ec4eca9c65254ff9b73037ee40ff731ca7ba2a1205f6d3f6f54dc007248ca5f
|
|
BLAKE2b-256 checksum How to use checksums |
44c78dcc4c4e27d18eafba12e46eea79259cbc785e59dcbd43633597abc60839
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Release files / ctt_dual_frequency-0.2.0-py3-none-any.whl
| Download URL | ctt_dual_frequency-0.2.0-py3-none-any.whl |
|---|---|
| Size | 4.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
e8a3bb8049963abe2e5ee7e23495cd0695aeb6c3ed1cb366916b7a2c05903da0
|
|
BLAKE2b-256 checksum How to use checksums |
4cbf38bf2c7b49351b6db57df4ee401925ee99d9a86216058d7ac609d42f6f0f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/7.0.0 CPython/3.14.7
|
Security for ctt-dual-frequency 0.2.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
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