Spatial Model Editor python bindings
Project description
sme
sme is a python interface to the Spatial Model Editor.
It can be used to modify parameters in a model and to simulate a model.
It can be installed from PyPI using pip:
pip install sme
You can also try it out online without installing anything using Google Colab
(click on Runtime -> Run all or press Ctrl+F9 to get started)
Documentation: https://spatial-model-editor.readthedocs.io/en/stable/reference/sme/sme.html
Supported platforms and python versions:
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linux
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CPython: 2.7, 3.5, 3.6, 3.7, 3.8, 3.9
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PyPy: 2.7, 3.6, 3.7
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macOS 10.14+
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CPython: 3.5, 3.6, 3.7, 3.8, 3.9
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PyPy: 2.7, 3.6, 3.7
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windows 64-bit
- CPython: 3.5, 3.6, 3.7, 3.8, 3.9
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windows 32-bit
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CPython: 3.5, 3.6, 3.7, 3.8, 3.9
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PyPy: 3.6, 3.7
-
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| Filename, size | File type | Python version | Upload date | Hashes |
|---|---|---|---|---|
| Filename, size sme-1.0.4-cp27-cp27m-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version cp27 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp27-cp27mu-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version cp27 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp35-cp35m-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp35-cp35m-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp35-cp35m-win32.whl (26.5 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp35-cp35m-win_amd64.whl (26.9 MB) | File type Wheel | Python version cp35 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp36-cp36m-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp36-cp36m-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp36-cp36m-win32.whl (26.5 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp36-cp36m-win_amd64.whl (26.9 MB) | File type Wheel | Python version cp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp37-cp37m-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp37-cp37m-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp37-cp37m-win32.whl (26.5 MB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp37-cp37m-win_amd64.whl (26.9 MB) | File type Wheel | Python version cp37 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp38-cp38-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp38-cp38-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp38-cp38-win32.whl (26.5 MB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp38-cp38-win_amd64.whl (26.9 MB) | File type Wheel | Python version cp38 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp39-cp39-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp39-cp39-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp39-cp39-win32.whl (26.5 MB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
| Filename, size sme-1.0.4-cp39-cp39-win_amd64.whl (26.9 MB) | File type Wheel | Python version cp39 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp27-pypy_41-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version pp27 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp27-pypy_73-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version pp27 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp27-pypy_73-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version pp27 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp36-pypy36_pp73-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version pp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp36-pypy36_pp73-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version pp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp36-pypy36_pp73-win32.whl (26.5 MB) | File type Wheel | Python version pp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp36-pypy3_72-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version pp36 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp37-pypy37_pp73-macosx_10_14_x86_64.whl (20.9 MB) | File type Wheel | Python version pp37 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp37-pypy37_pp73-manylinux2010_x86_64.whl (25.0 MB) | File type Wheel | Python version pp37 | Upload date | Hashes View |
| Filename, size sme-1.0.4-pp37-pypy37_pp73-win32.whl (26.5 MB) | File type Wheel | Python version pp37 | Upload date | Hashes View |
| Filename, size sme-1.0.4.tar.gz (4.6 kB) | File type Source | Python version None | Upload date | Hashes View |
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Hashes for sme-1.0.4-cp27-cp27m-manylinux2010_x86_64.whl
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Hashes for sme-1.0.4-cp27-cp27mu-manylinux2010_x86_64.whl
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Hashes for sme-1.0.4-cp35-cp35m-macosx_10_14_x86_64.whl
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Hashes for sme-1.0.4-cp35-cp35m-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
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Hashes for sme-1.0.4-cp35-cp35m-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
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Hashes for sme-1.0.4-cp36-cp36m-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
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Hashes for sme-1.0.4-cp36-cp36m-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3fbe1a13e643879974782dd692076ad5efa4ffe201fd471dc53c02142ceb3380 |
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Hashes for sme-1.0.4-cp36-cp36m-win_amd64.whl
| Algorithm | Hash digest | |
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| SHA256 | 1ea21f8237bb050fb9b3465dd51f53bce029745a7ab2f10194f587f4419f191b |
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| BLAKE2-256 | 06bb7411bae0e11a0acdeecaa715da6d9b1ea6b18d053305e28749385f53d42c |
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Hashes for sme-1.0.4-cp37-cp37m-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 057800867d33946238722c4238912e80c480f392e1d37433b5d32a0b133d1918 |
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| MD5 | 84b1b5ec71e77206198024dd3f071235 |
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| BLAKE2-256 | a2b2c47646651eb702fd49b458a50a3a851b785f60f480f334b469e746ebf696 |
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Hashes for sme-1.0.4-cp37-cp37m-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c09efe07862c64bd073615dcee64518106b24d93b01e9f3ec99479c0fb4f73af |
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| MD5 | 0787ca79eea74e60d9df53849cc3a4ab |
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| BLAKE2-256 | 0ffe721511960cff66ac410cb5480b26988acbea59cd608e622a3b10ef37b476 |
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Hashes for sme-1.0.4-cp37-cp37m-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c27514361c3304fb9935f4a55b3ac66fa53c6d0788fc79747dfb405605a022f4 |
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| MD5 | 19aeb4dfd2fe3edf8c1a53968d601d4b |
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| BLAKE2-256 | a803dfbfb5032317b5d4562151b64de9779a442c2986c4d6e7752086da1014f3 |
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Hashes for sme-1.0.4-cp38-cp38-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9ef8062a1381b99eb61af7f7e497298231f7eff2f1999854bad9dcb5e39c9bf5 |
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| MD5 | bfaf765673492cb50e5636e23d9ca3a5 |
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| BLAKE2-256 | 2f30766f0d827e89099fcd04fdedd1babd8cc9e021f46705c0c328d9f8f0255e |
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Hashes for sme-1.0.4-cp38-cp38-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 06737075ad16c41e3f2d1b8aa6bd13596450b0f3d6219c670053237c76ef6420 |
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| MD5 | d1c603b00079ad7ae0fdbd5c001c2bf6 |
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| BLAKE2-256 | d6f944a0abe672c7b08e6b77e346bf07121c24efa165b22e141f838b773664e1 |
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Hashes for sme-1.0.4-cp38-cp38-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9cd5ac54b862ed26a028e476efb89eb47bc3b051789c5da1127f0d62b42b3b80 |
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| MD5 | fb7cc293c43895966cf6371616c78091 |
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| BLAKE2-256 | 3f276c670f2c80619649b938809bc193ee7753eefec682202e8a4f3edb07dc13 |
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Hashes for sme-1.0.4-cp39-cp39-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b3991c81a429821b49334e096c3c332569bae7842f50242b60a7c3b3ec7cfd19 |
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| MD5 | 758ee1707175303b37ac175994d5a4cb |
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| BLAKE2-256 | fbb6aacf52ae961c02fb20fe30be33090be3652cbb4e8a0d26d0eda47df3cbcf |
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Hashes for sme-1.0.4-cp39-cp39-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 0b33114947fefb9c336e02c8157b666fe1c98a17c66def385483f003dc4b42a1 |
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| MD5 | 6423df797ae94b3ae58b06a6513d4e8c |
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| BLAKE2-256 | b016b34ec74873f33b487b71fc64e4c33e54b96399f562dabc51dcbadeceb76d |
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Hashes for sme-1.0.4-cp39-cp39-win_amd64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 546c117092e783476fedaeecb7f9c4f482c81c6ad040666d0d65a1b02341201a |
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| MD5 | 4bd0791b78d5c1fe5b4ce97fed122fdb |
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| BLAKE2-256 | ea93d85e8fa1769b3e9e3ece673d8357f5889e6ae7861f079931d8404c24927e |
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Hashes for sme-1.0.4-pp27-pypy_41-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 01a3d2fc0d504cc84046a3eab9b2c6ca7c892825b978ec05403d36d3e14a749b |
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| MD5 | 46d41c51de98ecff7daeef2a0c54194b |
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| BLAKE2-256 | 0af7f52dbcf953d1d88997839d450e50dfd1259cd2d42a7bab759444b665e11a |
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Hashes for sme-1.0.4-pp27-pypy_73-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 555aea6dfca1383139696233c24d5e9c92b35a597008c99ed4c109c837961ffd |
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| MD5 | 0146eafcd0034047fb6a4f33f0cc0a95 |
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| BLAKE2-256 | 31f16f9799e596f1174b1dd1370d76b6e011ad65700367dd3783ecbea0e33226 |
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Hashes for sme-1.0.4-pp27-pypy_73-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 816b9341fe3daf4d7c380b5aa6c77968954c49c24ddd51208de755141283dc30 |
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| MD5 | 71ab1b1f720aaca5d41add78ac9ecab6 |
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| BLAKE2-256 | 674825bc05e8404f144f8ca23bc3d90fd7f8578994a1db468dd549812b392680 |
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Hashes for sme-1.0.4-pp36-pypy36_pp73-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | d23e240636df9dcdd7b89f5c6fddccced032f4f9c31f43d5c739ee63a86785c2 |
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| MD5 | 6fd30a65cacf6f124f173eb261bb9a1f |
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| BLAKE2-256 | 4998e970fd4a8f665fb3505b5e03fe3af269bf2f0839fbefa95ae93cf18e1c82 |
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Hashes for sme-1.0.4-pp36-pypy36_pp73-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 5f3437e47aca6804f0c8309b751136a8cd8755d5d674f00099129c851ba23378 |
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| BLAKE2-256 | 5f1891cac74bc3ba7b11aa6e90be14462915a877d4863002f29f7525ba06f2e1 |
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Hashes for sme-1.0.4-pp36-pypy36_pp73-win32.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 9b5c84c910e4d1de6d0a71d587b81b0f943bc833f8e959dc99f0b3be6cf2c937 |
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| MD5 | 67b6b1361f1da188b6b20b320bd4cbb3 |
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| BLAKE2-256 | f0206dc11280463f5badb240f06ae99403889fc09badf4c4318369e9016ae85e |
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Hashes for sme-1.0.4-pp36-pypy3_72-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | c0608b120d55748b719cea450b87f8a33de8f572b8d4a5eeca7d51f402338bd6 |
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| MD5 | d2b13afa824e358af96b78592fdbb8ab |
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| BLAKE2-256 | 757b792804d1ffc54f0c95398267c1cfba12b72019b15ce2135cc62e57758851 |
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Hashes for sme-1.0.4-pp37-pypy37_pp73-macosx_10_14_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 8fe31d2a8de83bd9fb4c352e2701b75de3628f3071ef0c06ab2035b985a8df4b |
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| MD5 | 565d9328f53addd5cb2dadbf528fc40a |
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| BLAKE2-256 | 143faa95c24a8866ccc57f20bfc9f4825351f089d4da23938c36184449709cdb |
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Hashes for sme-1.0.4-pp37-pypy37_pp73-manylinux2010_x86_64.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 3f6125b2461df522bf813efa0893d0dfb25b9f0eb658bd5626c56590479b9ce8 |
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| MD5 | 67709227998c9da4244ea909a97575ef |
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| BLAKE2-256 | e498e44dd819a42f10245379ca52cafa93f4b87b0a2cf5130aa467ba95f3c4a3 |
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Hashes for sme-1.0.4-pp37-pypy37_pp73-win32.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | a220b192e7d7a9d83b373f08b57d892944a4ce92261dee70a69ef4e022b105b9 |
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| MD5 | 0d662254b26380d30f53cee8a4cfffff |
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| BLAKE2-256 | 481663980f5353282088f93c11c15953aae3cd61a910d0302905f062d1db7f36 |
