nmodl_preprocessor
This program optimizes NMODL files for the NEURON simulator.
It performs the following optimizations to ".mod" files:
- Hardcode the parameters
- Hardcode the temperature
- Hardcode any assigned variables with constant values
- Inline all functions and procedures
- Convert assigned variables into local variables
These optimizations can improve run-time performance and memory usage by as much as 15%.
Installation
Prerequisites
pip install nmodl_preprocessor
Usage
$ nmodl_preprocessor [-h] [--celsius CELSIUS] input_path output_path
positional arguments:
input_path input filename or directory of nmodl files
output_path output filename or directory for nmodl files
options:
-h, --help show this help message and exit
--celsius CELSIUS temperature of the simulation
Tips
-
This program will not optimize any RANGE or GLOBAL symbols.
- Remove them unless you actually need to inspect or modify their value at run-time.
- Add parameters to a GLOBAL statement to preserve them.
-
Remove unnecessary VERBATIM statements.
1 maintainer
Metadata
1 maintainer
Release files for nmodl-preprocessor 1.0.5
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 | |
|---|---|---|---|---|
| nmodl_preprocessor-1.0.5.tar.gz | 45.4 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nmodl_preprocessor-1.0.5-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 59.2 kB
Release files / nmodl_preprocessor-1.0.5.tar.gz
| Download URL | nmodl_preprocessor-1.0.5.tar.gz |
|---|---|
| Size | 45.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
482883f05e2da9725d854d1d3d4db99efb9b2ee36286b45b22307647d45b52f0
|
|
BLAKE2b-256 checksum How to use checksums |
dc31fe18b268f49ffc73918a6f2477f40d0fb4c6bbaec3ed20b66dd8f3c89775
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Release files / nmodl_preprocessor-1.0.5-py3-none-any.whl
| Download URL | nmodl_preprocessor-1.0.5-py3-none-any.whl |
|---|---|
| Size | 13.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
fe2daa78a8b8ab7214640161946d5224e47a28960de402ef058a73eb1a72e974
|
|
BLAKE2b-256 checksum How to use checksums |
2b2c27c767520745b9a07522bfdf822eadf0ef8f1fb73f9fd17cd27040422a8c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.2 CPython/3.10.6
|
Security for nmodl-preprocessor 1.0.5
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.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
