Compare commits
2 Commits
6f3d5c0096
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1a80fba07f
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|---|---|---|---|
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1a80fba07f | ||
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c52826c528 |
2
.gitignore
vendored
2
.gitignore
vendored
@ -174,5 +174,3 @@ poetry.toml
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pyrightconfig.json
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# End of https://www.toptal.com/developers/gitignore/api/python
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config.yaml
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19
Pipfile
Normal file
19
Pipfile
Normal file
@ -0,0 +1,19 @@
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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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flask = "*"
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numpy = "*"
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flask-sock = "*"
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pytest = "*"
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matplotlib = "*"
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scipy = "*"
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scipy-stubs = "*"
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torch = "*"
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[dev-packages]
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[requires]
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python_version = "3.13"
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862
Pipfile.lock
generated
Normal file
862
Pipfile.lock
generated
Normal file
@ -0,0 +1,862 @@
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{
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||||
"_meta": {
|
||||
"hash": {
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||||
"sha256": "c6fdcd549f16bcc17f8af735f5682046bed934fc24446e2356cf932c853ca21f"
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},
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"pipfile-spec": 6,
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"requires": {
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"python_version": "3.13"
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},
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"sources": [
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{
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"name": "pypi",
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"url": "https://pypi.org/simple",
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"verify_ssl": true
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}
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||||
]
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||||
},
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||||
"default": {
|
||||
"blinker": {
|
||||
"hashes": [
|
||||
"sha256:b4ce2265a7abece45e7cc896e98dbebe6cead56bcf805a3d23136d145f5445bf",
|
||||
"sha256:ba0efaa9080b619ff2f3459d1d500c57bddea4a6b424b60a91141db6fd2f08bc"
|
||||
],
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||||
"markers": "python_version >= '3.9'",
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||||
"version": "==1.9.0"
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||||
},
|
||||
"click": {
|
||||
"hashes": [
|
||||
"sha256:63c132bbbed01578a06712a2d1f497bb62d9c1c0d329b7903a866228027263b2",
|
||||
"sha256:ed53c9d8990d83c2a27deae68e4ee337473f6330c040a31d4225c9574d16096a"
|
||||
],
|
||||
"markers": "python_version >= '3.7'",
|
||||
"version": "==8.1.8"
|
||||
},
|
||||
"contourpy": {
|
||||
"hashes": [
|
||||
"sha256:041b640d4ec01922083645a94bb3b2e777e6b626788f4095cf21abbe266413c1",
|
||||
"sha256:05e806338bfeaa006acbdeba0ad681a10be63b26e1b17317bfac3c5d98f36cda",
|
||||
"sha256:08d9d449a61cf53033612cb368f3a1b26cd7835d9b8cd326647efe43bca7568d",
|
||||
"sha256:0ffa84be8e0bd33410b17189f7164c3589c229ce5db85798076a3fa136d0e509",
|
||||
"sha256:113231fe3825ebf6f15eaa8bc1f5b0ddc19d42b733345eae0934cb291beb88b6",
|
||||
"sha256:14c102b0eab282427b662cb590f2e9340a9d91a1c297f48729431f2dcd16e14f",
|
||||
"sha256:174e758c66bbc1c8576992cec9599ce8b6672b741b5d336b5c74e35ac382b18e",
|
||||
"sha256:19c1555a6801c2f084c7ddc1c6e11f02eb6a6016ca1318dd5452ba3f613a1751",
|
||||
"sha256:19d40d37c1c3a4961b4619dd9d77b12124a453cc3d02bb31a07d58ef684d3d86",
|
||||
"sha256:1bf98051f1045b15c87868dbaea84f92408337d4f81d0e449ee41920ea121d3b",
|
||||
"sha256:20914c8c973f41456337652a6eeca26d2148aa96dd7ac323b74516988bea89fc",
|
||||
"sha256:287ccc248c9e0d0566934e7d606201abd74761b5703d804ff3df8935f523d546",
|
||||
"sha256:2ba94a401342fc0f8b948e57d977557fbf4d515f03c67682dd5c6191cb2d16ec",
|
||||
"sha256:31c1b55c1f34f80557d3830d3dd93ba722ce7e33a0b472cba0ec3b6535684d8f",
|
||||
"sha256:36987a15e8ace5f58d4d5da9dca82d498c2bbb28dff6e5d04fbfcc35a9cb3a82",
|
||||
"sha256:3a04ecd68acbd77fa2d39723ceca4c3197cb2969633836ced1bea14e219d077c",
|
||||
"sha256:3e8b974d8db2c5610fb4e76307e265de0edb655ae8169e8b21f41807ccbeec4b",
|
||||
"sha256:3ea9924d28fc5586bf0b42d15f590b10c224117e74409dd7a0be3b62b74a501c",
|
||||
"sha256:4318af1c925fb9a4fb190559ef3eec206845f63e80fb603d47f2d6d67683901c",
|
||||
"sha256:44a29502ca9c7b5ba389e620d44f2fbe792b1fb5734e8b931ad307071ec58c53",
|
||||
"sha256:47734d7073fb4590b4a40122b35917cd77be5722d80683b249dac1de266aac80",
|
||||
"sha256:4d76d5993a34ef3df5181ba3c92fabb93f1eaa5729504fb03423fcd9f3177242",
|
||||
"sha256:4dbbc03a40f916a8420e420d63e96a1258d3d1b58cbdfd8d1f07b49fcbd38e85",
|
||||
"sha256:500360b77259914f7805af7462e41f9cb7ca92ad38e9f94d6c8641b089338124",
|
||||
"sha256:523a8ee12edfa36f6d2a49407f705a6ef4c5098de4f498619787e272de93f2d5",
|
||||
"sha256:573abb30e0e05bf31ed067d2f82500ecfdaec15627a59d63ea2d95714790f5c2",
|
||||
"sha256:5b75aa69cb4d6f137b36f7eb2ace9280cfb60c55dc5f61c731fdf6f037f958a3",
|
||||
"sha256:61332c87493b00091423e747ea78200659dc09bdf7fd69edd5e98cef5d3e9a8d",
|
||||
"sha256:805617228ba7e2cbbfb6c503858e626ab528ac2a32a04a2fe88ffaf6b02c32bc",
|
||||
"sha256:841ad858cff65c2c04bf93875e384ccb82b654574a6d7f30453a04f04af71342",
|
||||
"sha256:89785bb2a1980c1bd87f0cb1517a71cde374776a5f150936b82580ae6ead44a1",
|
||||
"sha256:8eb96e79b9f3dcadbad2a3891672f81cdcab7f95b27f28f1c67d75f045b6b4f1",
|
||||
"sha256:974d8145f8ca354498005b5b981165b74a195abfae9a8129df3e56771961d595",
|
||||
"sha256:9ddeb796389dadcd884c7eb07bd14ef12408aaae358f0e2ae24114d797eede30",
|
||||
"sha256:a045f341a77b77e1c5de31e74e966537bba9f3c4099b35bf4c2e3939dd54cdab",
|
||||
"sha256:a0cffcbede75c059f535725c1680dfb17b6ba8753f0c74b14e6a9c68c29d7ea3",
|
||||
"sha256:a761d9ccfc5e2ecd1bf05534eda382aa14c3e4f9205ba5b1684ecfe400716ef2",
|
||||
"sha256:a7895f46d47671fa7ceec40f31fae721da51ad34bdca0bee83e38870b1f47ffd",
|
||||
"sha256:a9fa36448e6a3a1a9a2ba23c02012c43ed88905ec80163f2ffe2421c7192a5d7",
|
||||
"sha256:ab29962927945d89d9b293eabd0d59aea28d887d4f3be6c22deaefbb938a7277",
|
||||
"sha256:abbb49fb7dac584e5abc6636b7b2a7227111c4f771005853e7d25176daaf8453",
|
||||
"sha256:ac4578ac281983f63b400f7fe6c101bedc10651650eef012be1ccffcbacf3697",
|
||||
"sha256:adce39d67c0edf383647a3a007de0a45fd1b08dedaa5318404f1a73059c2512b",
|
||||
"sha256:ade08d343436a94e633db932e7e8407fe7de8083967962b46bdfc1b0ced39454",
|
||||
"sha256:b2bdca22a27e35f16794cf585832e542123296b4687f9fd96822db6bae17bfc9",
|
||||
"sha256:b2f926efda994cdf3c8d3fdb40b9962f86edbc4457e739277b961eced3d0b4c1",
|
||||
"sha256:b457d6430833cee8e4b8e9b6f07aa1c161e5e0d52e118dc102c8f9bd7dd060d6",
|
||||
"sha256:c414fc1ed8ee1dbd5da626cf3710c6013d3d27456651d156711fa24f24bd1291",
|
||||
"sha256:cb76c1a154b83991a3cbbf0dfeb26ec2833ad56f95540b442c73950af2013750",
|
||||
"sha256:dfd97abd83335045a913e3bcc4a09c0ceadbe66580cf573fe961f4a825efa699",
|
||||
"sha256:e914a8cb05ce5c809dd0fe350cfbb4e881bde5e2a38dc04e3afe1b3e58bd158e",
|
||||
"sha256:ece6df05e2c41bd46776fbc712e0996f7c94e0d0543af1656956d150c4ca7c81",
|
||||
"sha256:efa874e87e4a647fd2e4f514d5e91c7d493697127beb95e77d2f7561f6905bd9",
|
||||
"sha256:f611e628ef06670df83fce17805c344710ca5cde01edfdc72751311da8585375"
|
||||
],
|
||||
"markers": "python_version >= '3.10'",
|
||||
"version": "==1.3.1"
|
||||
},
|
||||
"cycler": {
|
||||
"hashes": [
|
||||
"sha256:85cef7cff222d8644161529808465972e51340599459b8ac3ccbac5a854e0d30",
|
||||
"sha256:88bb128f02ba341da8ef447245a9e138fae777f6a23943da4540077d3601eb1c"
|
||||
],
|
||||
"markers": "python_version >= '3.8'",
|
||||
"version": "==0.12.1"
|
||||
},
|
||||
"filelock": {
|
||||
"hashes": [
|
||||
"sha256:2082e5703d51fbf98ea75855d9d5527e33d8ff23099bec374a134febee6946b0",
|
||||
"sha256:c249fbfcd5db47e5e2d6d62198e565475ee65e4831e2561c8e313fa7eb961435"
|
||||
],
|
||||
"markers": "python_version >= '3.8'",
|
||||
"version": "==3.16.1"
|
||||
},
|
||||
"flask": {
|
||||
"hashes": [
|
||||
"sha256:5f873c5184c897c8d9d1b05df1e3d01b14910ce69607a117bd3277098a5836ac",
|
||||
"sha256:d667207822eb83f1c4b50949b1623c8fc8d51f2341d65f72e1a1815397551136"
|
||||
],
|
||||
"index": "pypi",
|
||||
"markers": "python_version >= '3.9'",
|
||||
"version": "==3.1.0"
|
||||
},
|
||||
"flask-sock": {
|
||||
"hashes": [
|
||||
"sha256:caac4d679392aaf010d02fabcf73d52019f5bdaf1c9c131ec5a428cb3491204a",
|
||||
"sha256:e023b578284195a443b8d8bdb4469e6a6acf694b89aeb51315b1a34fcf427b7d"
|
||||
],
|
||||
"index": "pypi",
|
||||
"markers": "python_version >= '3.6'",
|
||||
"version": "==0.7.0"
|
||||
},
|
||||
"fonttools": {
|
||||
"hashes": [
|
||||
"sha256:07f8288aacf0a38d174445fc78377a97fb0b83cfe352a90c9d9c1400571963c7",
|
||||
"sha256:11e5de1ee0d95af4ae23c1a138b184b7f06e0b6abacabf1d0db41c90b03d834b",
|
||||
"sha256:1bc7ad24ff98846282eef1cbeac05d013c2154f977a79886bb943015d2b1b261",
|
||||
"sha256:1dcc07934a2165ccdc3a5a608db56fb3c24b609658a5b340aee4ecf3ba679dc0",
|
||||
"sha256:22f38464daa6cdb7b6aebd14ab06609328fe1e9705bb0fcc7d1e69de7109ee02",
|
||||
"sha256:27e4ae3592e62eba83cd2c4ccd9462dcfa603ff78e09110680a5444c6925d841",
|
||||
"sha256:3983313c2a04d6cc1fe9251f8fc647754cf49a61dac6cb1e7249ae67afaafc45",
|
||||
"sha256:529cef2ce91dc44f8e407cc567fae6e49a1786f2fefefa73a294704c415322a4",
|
||||
"sha256:5323a22eabddf4b24f66d26894f1229261021dacd9d29e89f7872dd8c63f0b8b",
|
||||
"sha256:54153c49913f45065c8d9e6d0c101396725c5621c8aee744719300f79771d75a",
|
||||
"sha256:546565028e244a701f73df6d8dd6be489d01617863ec0c6a42fa25bf45d43048",
|
||||
"sha256:5480673f599ad410695ca2ddef2dfefe9df779a9a5cda89503881e503c9c7d90",
|
||||
"sha256:5e8d657cd7326eeaba27de2740e847c6b39dde2f8d7cd7cc56f6aad404ddf0bd",
|
||||
"sha256:62d65a3022c35e404d19ca14f291c89cc5890032ff04f6c17af0bd1927299674",
|
||||
"sha256:6314bf82c54c53c71805318fcf6786d986461622dd926d92a465199ff54b1b72",
|
||||
"sha256:7a8aa2c5e5b8b3bcb2e4538d929f6589a5c6bdb84fd16e2ed92649fb5454f11c",
|
||||
"sha256:827e95fdbbd3e51f8b459af5ea10ecb4e30af50221ca103bea68218e9615de07",
|
||||
"sha256:859c358ebf41db18fb72342d3080bce67c02b39e86b9fbcf1610cca14984841b",
|
||||
"sha256:86721fbc389ef5cc1e2f477019e5069e8e4421e8d9576e9c26f840dbb04678de",
|
||||
"sha256:89bdc5d88bdeec1b15af790810e267e8332d92561dce4f0748c2b95c9bdf3926",
|
||||
"sha256:8c4491699bad88efe95772543cd49870cf756b019ad56294f6498982408ab03e",
|
||||
"sha256:8c5ec45428edaa7022f1c949a632a6f298edc7b481312fc7dc258921e9399628",
|
||||
"sha256:8e75f12c82127486fac2d8bfbf5bf058202f54bf4f158d367e41647b972342ca",
|
||||
"sha256:a430178ad3e650e695167cb53242dae3477b35c95bef6525b074d87493c4bf29",
|
||||
"sha256:a8c2794ded89399cc2169c4d0bf7941247b8d5932b2659e09834adfbb01589aa",
|
||||
"sha256:aca318b77f23523309eec4475d1fbbb00a6b133eb766a8bdc401faba91261abe",
|
||||
"sha256:ae3b6600565b2d80b7c05acb8e24d2b26ac407b27a3f2e078229721ba5698427",
|
||||
"sha256:aedbeb1db64496d098e6be92b2e63b5fac4e53b1b92032dfc6988e1ea9134a4d",
|
||||
"sha256:aee3b57643827e237ff6ec6d28d9ff9766bd8b21e08cd13bff479e13d4b14765",
|
||||
"sha256:b54baf65c52952db65df39fcd4820668d0ef4766c0ccdf32879b77f7c804d5c5",
|
||||
"sha256:b586ab5b15b6097f2fb71cafa3c98edfd0dba1ad8027229e7b1e204a58b0e09d",
|
||||
"sha256:b8d5e8916c0970fbc0f6f1bece0063363bb5857a7f170121a4493e31c3db3314",
|
||||
"sha256:bc5dbb4685e51235ef487e4bd501ddfc49be5aede5e40f4cefcccabc6e60fb4b",
|
||||
"sha256:bdcc9f04b36c6c20978d3f060e5323a43f6222accc4e7fcbef3f428e216d96af",
|
||||
"sha256:c3ca99e0d460eff46e033cd3992a969658c3169ffcd533e0a39c63a38beb6831",
|
||||
"sha256:caf8230f3e10f8f5d7593eb6d252a37caf58c480b19a17e250a63dad63834cf3",
|
||||
"sha256:cd70de1a52a8ee2d1877b6293af8a2484ac82514f10b1c67c1c5762d38073e56",
|
||||
"sha256:cf4fe7c124aa3f4e4c1940880156e13f2f4d98170d35c749e6b4f119a872551e",
|
||||
"sha256:d342e88764fb201286d185093781bf6628bbe380a913c24adf772d901baa8276",
|
||||
"sha256:da9da6d65cd7aa6b0f806556f4985bcbf603bf0c5c590e61b43aa3e5a0f822d0",
|
||||
"sha256:dc5294a3d5c84226e3dbba1b6f61d7ad813a8c0238fceea4e09aa04848c3d851",
|
||||
"sha256:dd68c87a2bfe37c5b33bcda0fba39b65a353876d3b9006fde3adae31f97b3ef5",
|
||||
"sha256:e6e8766eeeb2de759e862004aa11a9ea3d6f6d5ec710551a88b476192b64fd54",
|
||||
"sha256:e894b5bd60d9f473bed7a8f506515549cc194de08064d829464088d23097331b",
|
||||
"sha256:eb6ca911c4c17eb51853143624d8dc87cdcdf12a711fc38bf5bd21521e79715f",
|
||||
"sha256:ed63959d00b61959b035c7d47f9313c2c1ece090ff63afea702fe86de00dbed4",
|
||||
"sha256:f412604ccbeee81b091b420272841e5ec5ef68967a9790e80bffd0e30b8e2977",
|
||||
"sha256:f7d66c15ba875432a2d2fb419523f5d3d347f91f48f57b8b08a2dfc3c39b8a3f",
|
||||
"sha256:f9e736f60f4911061235603a6119e72053073a12c6d7904011df2d8fad2c0e35",
|
||||
"sha256:fb594b5a99943042c702c550d5494bdd7577f6ef19b0bc73877c948a63184a32"
|
||||
],
|
||||
"markers": "python_version >= '3.8'",
|
||||
"version": "==4.55.3"
|
||||
},
|
||||
"fsspec": {
|
||||
"hashes": [
|
||||
"sha256:670700c977ed2fb51e0d9f9253177ed20cbde4a3e5c0283cc5385b5870c8533f",
|
||||
"sha256:b520aed47ad9804237ff878b504267a3b0b441e97508bd6d2d8774e3db85cee2"
|
||||
],
|
||||
"markers": "python_version >= '3.8'",
|
||||
"version": "==2024.12.0"
|
||||
},
|
||||
"h11": {
|
||||
"hashes": [
|
||||
"sha256:8f19fbbe99e72420ff35c00b27a34cb9937e902a8b810e2c88300c6f0a3b699d",
|
||||
"sha256:e3fe4ac4b851c468cc8363d500db52c2ead036020723024a109d37346efaa761"
|
||||
],
|
||||
"markers": "python_version >= '3.7'",
|
||||
"version": "==0.14.0"
|
||||
},
|
||||
"iniconfig": {
|
||||
"hashes": [
|
||||
"sha256:2d91e135bf72d31a410b17c16da610a82cb55f6b0477d1a902134b24a455b8b3",
|
||||
"sha256:b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374"
|
||||
],
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||||
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|
||||
"sha256:340ce0432cad0d37f5a31be666896e16788f1adf8ad7be481196b503dad675b9",
|
||||
"sha256:34bfa1a852e5714cbfa17f27c49d8ce35e1b7af5608c4bc6e81392c352dbc601",
|
||||
"sha256:3f4b7f10a247e0dcd7ea97dc2d3bfbfc90302ed36d7f3952b0008d0df264e697",
|
||||
"sha256:46c817d3ea33696ad3b9df5e774dba2257e9a4cd3c4a3afbf92f6bb13ac5ce2d",
|
||||
"sha256:603c52d2fe06433c18b747d25f5c333f9c1d58615620578c326d66f258686f9a",
|
||||
"sha256:71328e1bbe39d213b8721678f9dcac30dfc452a46d586f1d514a6aa0a99d4744",
|
||||
"sha256:73e58e78f7d220917c5dbfad1a40e09df9929d3b95d25e57d9f8558f84c9a11c",
|
||||
"sha256:7974e3dce28b5a21fb554b73e1bc9072c25dde873fa00d54280861e7a009d7dc",
|
||||
"sha256:8046768b7f6d35b85d101b4b38cba8aa2f3cd51952bc4c06a49580f2ce682291",
|
||||
"sha256:8c712df61101964eb11910a846514011f0b6f5920c55dbf567bff8a34163d5b1",
|
||||
"sha256:9b61edf3b4f6e3b0e0adda8b3960266b9009d02b37555971f4d1c8f7a05afed7",
|
||||
"sha256:de5b7d6740c4b636ef4db92be922f0edc425b65ed78c5076c43c42d362a45457",
|
||||
"sha256:ed231a4b3a5952177fafb661213d690a72caaad97d5824dd4fc17ab9e15cec03"
|
||||
],
|
||||
"index": "pypi",
|
||||
"markers": "python_full_version >= '3.8.0'",
|
||||
"version": "==2.5.1"
|
||||
},
|
||||
"typing-extensions": {
|
||||
"hashes": [
|
||||
"sha256:04e5ca0351e0f3f85c6853954072df659d0d13fac324d0072316b67d7794700d",
|
||||
"sha256:1a7ead55c7e559dd4dee8856e3a88b41225abfe1ce8df57b7c13915fe121ffb8"
|
||||
],
|
||||
"markers": "python_version >= '3.8'",
|
||||
"version": "==4.12.2"
|
||||
},
|
||||
"werkzeug": {
|
||||
"hashes": [
|
||||
"sha256:54b78bf3716d19a65be4fceccc0d1d7b89e608834989dfae50ea87564639213e",
|
||||
"sha256:60723ce945c19328679790e3282cc758aa4a6040e4bb330f53d30fa546d44746"
|
||||
],
|
||||
"markers": "python_version >= '3.9'",
|
||||
"version": "==3.1.3"
|
||||
},
|
||||
"wsproto": {
|
||||
"hashes": [
|
||||
"sha256:ad565f26ecb92588a3e43bc3d96164de84cd9902482b130d0ddbaa9664a85065",
|
||||
"sha256:b9acddd652b585d75b20477888c56642fdade28bdfd3579aa24a4d2c037dd736"
|
||||
],
|
||||
"markers": "python_full_version >= '3.7.0'",
|
||||
"version": "==1.2.0"
|
||||
}
|
||||
},
|
||||
"develop": {}
|
||||
}
|
||||
@ -1,29 +0,0 @@
|
||||
receive_hosts:
|
||||
- ["10.0.12.62", 8008]
|
||||
- ["10.0.12.64", 8008]
|
||||
transmit_host: ["10.0.12.63", 8008]
|
||||
antennas:
|
||||
order: [
|
||||
[["10.0.12.62", 8008], 0],
|
||||
[["10.0.12.64", 8008], 1],
|
||||
[["10.0.12.64", 8008], 0],
|
||||
[["10.0.12.62", 8008], 1]]
|
||||
spacing: 0.0285
|
||||
|
||||
sample_rate: 100 # Hz
|
||||
|
||||
central_freq: 6195 # MHz
|
||||
channel_width: 20 # MHz
|
||||
frame_format: HT
|
||||
|
||||
preprocessing:
|
||||
moving_average_alpha: 0.01
|
||||
|
||||
bandpass:
|
||||
lowcut: 2
|
||||
highcut: 40
|
||||
|
||||
music:
|
||||
eigval_threshold: 10
|
||||
window_size: 40
|
||||
|
||||
@ -5,22 +5,15 @@ description = "Use Wi-Fi Channel State Information to locate human presence"
|
||||
requires-python = ">=3.11"
|
||||
dependencies = [
|
||||
"flask",
|
||||
"numpy>=2.0.0",
|
||||
"numpy",
|
||||
"flask-sock",
|
||||
"pytest",
|
||||
"matplotlib",
|
||||
"scipy",
|
||||
"scipy-stubs",
|
||||
"typer",
|
||||
"h5py>=3.12.1",
|
||||
"pyyaml>=6.0.2",
|
||||
"pydantic>=2.10.6",
|
||||
"torch"
|
||||
"typer"
|
||||
]
|
||||
|
||||
[project.scripts]
|
||||
where-fi = "where_fi.cli:app"
|
||||
|
||||
|
||||
[tool.ruff]
|
||||
line-length = 88
|
||||
@ -37,9 +30,3 @@ reportMissingTypeStubs = "warning"
|
||||
|
||||
[tool.pytest.ini_options]
|
||||
python_files = "*.py"
|
||||
|
||||
[tool.uv]
|
||||
package = true
|
||||
|
||||
[tool.setuptools]
|
||||
packages = ["where_fi"]
|
||||
|
||||
@ -5,7 +5,7 @@ from . import cli
|
||||
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format="%(asctime)s %(name)-50s %(levelname)-8s %(message)s",
|
||||
format="%(asctime)s %(name)-40s %(levelname)-8s %(message)s",
|
||||
)
|
||||
|
||||
if __name__ == "__main__":
|
||||
@ -3,18 +3,15 @@ import multiprocessing as mp
|
||||
|
||||
import numpy as np
|
||||
import numpy.typing as npt
|
||||
import torch
|
||||
import typer
|
||||
|
||||
from .. import visualise
|
||||
from ..config import config
|
||||
from ..processing.aoa import AoA
|
||||
from ..processing.preprocess import Preprocessor
|
||||
from . import file, globals
|
||||
from . import config, visualise
|
||||
from .collection import ingest
|
||||
from .processing.aoa import AoA
|
||||
from .processing.preprocess import Preprocessor
|
||||
|
||||
app = typer.Typer(callback=globals.main)
|
||||
app = typer.Typer()
|
||||
logger = logging.getLogger(__name__)
|
||||
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
||||
|
||||
|
||||
@app.command()
|
||||
@ -26,10 +23,7 @@ def antennas() -> None:
|
||||
print the antenna identifier. When you are done, press Ctrl+C to stop the script and
|
||||
get the final order.
|
||||
"""
|
||||
from ..utils import antenna_order
|
||||
|
||||
if not globals.is_live:
|
||||
raise ValueError("This command only works with live data")
|
||||
from .utils import antenna_order
|
||||
|
||||
antenna_order.main()
|
||||
|
||||
@ -38,23 +32,17 @@ def antennas() -> None:
|
||||
def heatmap() -> None:
|
||||
preprocessor = Preprocessor()
|
||||
aoa = AoA()
|
||||
manager = mp.Manager()
|
||||
webapp_queue: "mp.Queue[AoA]" = manager.Queue(config.sample_rate)
|
||||
webapp_queue: "mp.Queue[AoA]" = mp.Queue(config.SAMPLE_RATE)
|
||||
# Start webapp in background process
|
||||
webapp = mp.Process(target=visualise.start, args=(webapp_queue,))
|
||||
webapp.start()
|
||||
|
||||
def callback(antenna_data: npt.NDArray[np.complex64]) -> None:
|
||||
def callback(antenna_data: npt.NDArray[np.complex128]) -> None:
|
||||
logger.info(f"Got final CSI data with shape {antenna_data.shape}")
|
||||
processed = preprocessor.preprocess(antenna_data)
|
||||
processed_tensor = torch.tensor(processed, device=device)
|
||||
# visualise.add_data(all_data, processed)
|
||||
aoa.update(processed_tensor)
|
||||
aoa.update(processed)
|
||||
if not webapp_queue.full():
|
||||
webapp_queue.put(aoa)
|
||||
|
||||
globals.csi_producer(csi_callback=callback)
|
||||
logger.info("Finished processing CSI data")
|
||||
|
||||
|
||||
app.add_typer(file.app, name="file", help="Commands for working with CSI files")
|
||||
ingest.start_processing(callback)
|
||||
@ -6,15 +6,16 @@ import subprocess
|
||||
import threading
|
||||
import time
|
||||
from datetime import datetime
|
||||
from typing import Callable, NamedTuple
|
||||
from typing import Callable, NamedTuple, NoReturn
|
||||
|
||||
import numpy as np
|
||||
import numpy.typing as npt
|
||||
|
||||
from ..config import config
|
||||
from .. import config
|
||||
from .csi_frame import CSI
|
||||
from .protocols import CSICallback
|
||||
|
||||
Host = tuple[str, int]
|
||||
CSICallback = Callable[[npt.NDArray[np.complex128]], None]
|
||||
|
||||
|
||||
class FeitHost:
|
||||
@ -24,15 +25,10 @@ class FeitHost:
|
||||
self.logger = logging.getLogger(
|
||||
f"{__name__}.{self.__class__.__name__}-{self.host[0]}"
|
||||
)
|
||||
self.active = True
|
||||
self.checker = threading.Thread(target=self.check_continuous)
|
||||
self.checker.start()
|
||||
|
||||
def check_connection(self) -> bool:
|
||||
if not config.HOST_CHECKING:
|
||||
# This may not always be possible to check when the host is a reverse-proxy
|
||||
# or doesn't have SSH access. This is the case when running on cloud servers
|
||||
return True
|
||||
feitcsi_status = subprocess.run(
|
||||
f"ssh root@{self.host[0]} pgrep feitcsi",
|
||||
check=False,
|
||||
@ -48,7 +44,7 @@ class FeitHost:
|
||||
self.server.send(self.command.encode())
|
||||
self.logger.info(f"Connected to {self.host}")
|
||||
|
||||
def check_continuous(self) -> None:
|
||||
def check_continuous(self) -> NoReturn:
|
||||
"""
|
||||
Repeatedly check if the FeitCSI service is running
|
||||
|
||||
@ -57,7 +53,7 @@ class FeitHost:
|
||||
and logs continuously if the service is running.
|
||||
"""
|
||||
last_status = False
|
||||
while self.active:
|
||||
while True:
|
||||
if not self.check_connection():
|
||||
self.logger.error(f"FeitCSI is not running on {self.host[0]}")
|
||||
last_status = False
|
||||
@ -66,35 +62,34 @@ class FeitHost:
|
||||
self.connect()
|
||||
last_status = True
|
||||
time.sleep(1)
|
||||
self.logger.info("Stopping host checker")
|
||||
|
||||
|
||||
class FeitTransmitter(FeitHost):
|
||||
def __init__(self) -> None:
|
||||
command = (
|
||||
f"feitcsi --frequency {config.central_freq} "
|
||||
f"--channel-width {config.channel_width} "
|
||||
f"--format {config.frame_format} "
|
||||
f"feitcsi --frequency {config.CENTRAL_FREQUENCY_MHZ} "
|
||||
f"--channel-width {config.CHANNEL_WIDTH} "
|
||||
f"--format {config.FRAME_FORMAT} "
|
||||
f"--mode inject -s 1 --verbose "
|
||||
f"--inject-delay {1_000_000 // config.sample_rate}"
|
||||
f"--inject-delay {1_000_000 // config.SAMPLE_RATE}"
|
||||
)
|
||||
super().__init__(config.transmit_host, command)
|
||||
super().__init__(config.INJECT_HOST, command)
|
||||
|
||||
|
||||
class FeitReceiver(FeitHost):
|
||||
def __init__(self, host: Host) -> None:
|
||||
command = (
|
||||
f"feitcsi --frequency {config.central_freq} "
|
||||
f"--channel-width {config.channel_width} "
|
||||
f"--format {config.frame_format} "
|
||||
f"feitcsi --frequency {config.CENTRAL_FREQUENCY_MHZ} "
|
||||
f"--channel-width {config.CHANNEL_WIDTH} "
|
||||
f"--format {config.FRAME_FORMAT} "
|
||||
f"--mode measure"
|
||||
)
|
||||
super().__init__(host, command)
|
||||
|
||||
def listen(self, queue: "mp.Queue[CSI]") -> None:
|
||||
def listen(self, queue: "mp.Queue[CSI]") -> NoReturn:
|
||||
prev_time = datetime.now()
|
||||
self.logger.info("Listening for CSI data")
|
||||
while self.active:
|
||||
while True:
|
||||
while not hasattr(self, "server"):
|
||||
time.sleep(0.1)
|
||||
# This is the max size of a UDP packet. The size of the actual CSI
|
||||
@ -110,7 +105,6 @@ class FeitReceiver(FeitHost):
|
||||
queue.put(csidata)
|
||||
except struct.error:
|
||||
self.logger.error("Failed to parse CSI data")
|
||||
self.logger.info("Stopping CSI receiver")
|
||||
|
||||
|
||||
class CSIProcessor:
|
||||
@ -123,7 +117,6 @@ class CSIProcessor:
|
||||
self.logger = logging.getLogger(f"{__name__}.{self.__class__.__name__}")
|
||||
self.last_processed = datetime.now()
|
||||
self.connections = receiver_connections
|
||||
self.active = True
|
||||
|
||||
def add_data(self, host: Host, data: CSI) -> None:
|
||||
if (
|
||||
@ -138,7 +131,7 @@ class CSIProcessor:
|
||||
self.pending_data[host] = (datetime.now(), data)
|
||||
|
||||
def is_ready(self) -> bool:
|
||||
for host in config.receive_hosts:
|
||||
for host in config.RECEIVE_HOSTS:
|
||||
if (
|
||||
host not in self.pending_data
|
||||
or self.pending_data[host][0] <= self.last_processed
|
||||
@ -158,7 +151,7 @@ class CSIProcessor:
|
||||
)
|
||||
antenna_data = [
|
||||
np.expand_dims(self.pending_data[ip][1].matrix[:, antenna], axis=2)
|
||||
for ip, antenna in config.antennas.order
|
||||
for ip, antenna in config.ANTENNA_ORDER
|
||||
]
|
||||
|
||||
# We have data from all servers
|
||||
@ -171,9 +164,8 @@ class CSIProcessor:
|
||||
self,
|
||||
callback: CSICallback | None = None,
|
||||
pre_merge_callback: Callable[[dict[Host, CSI]], None] | None = None,
|
||||
) -> None:
|
||||
try:
|
||||
while self.active:
|
||||
) -> NoReturn:
|
||||
while True:
|
||||
for ip, queue in self.connections.items():
|
||||
while not queue.empty():
|
||||
self.add_data(ip, queue.get())
|
||||
@ -182,8 +174,6 @@ class CSIProcessor:
|
||||
else:
|
||||
self.logger.debug("Not all data is ready")
|
||||
time.sleep(0.0005)
|
||||
except KeyboardInterrupt:
|
||||
self.logger.info("Exiting CSI processing")
|
||||
|
||||
|
||||
class Receiver(NamedTuple):
|
||||
@ -197,11 +187,11 @@ def start_processing(
|
||||
pre_merge_callback: Callable[[dict[Host, CSI]], None] | None = None,
|
||||
) -> None:
|
||||
receivers = [
|
||||
Receiver(ip, FeitReceiver(ip), mp.Queue(config.sample_rate))
|
||||
for ip in config.receive_hosts
|
||||
Receiver(ip, FeitReceiver(ip), mp.Queue(config.SAMPLE_RATE))
|
||||
for ip in config.RECEIVE_HOSTS
|
||||
]
|
||||
|
||||
transmitter = FeitTransmitter()
|
||||
FeitTransmitter()
|
||||
|
||||
# Start injecting CSI frames
|
||||
processor = CSIProcessor({r.ip: r.queue for r in receivers})
|
||||
@ -218,11 +208,6 @@ def start_processing(
|
||||
)
|
||||
processing_thread.start()
|
||||
try:
|
||||
while True:
|
||||
time.sleep(100)
|
||||
processing_thread.join()
|
||||
except KeyboardInterrupt:
|
||||
for r in receivers:
|
||||
r.receiver.active = False
|
||||
transmitter.active = False
|
||||
processor.active = False
|
||||
return
|
||||
36
src/config.py
Normal file
36
src/config.py
Normal file
@ -0,0 +1,36 @@
|
||||
PREPROCESSING_SHORT_TERM_WINDOW_SIZE = 5
|
||||
PREPROCESSING_LONG_TERM_ALPHA = 0.01
|
||||
|
||||
PREPROCESSING_BANDPASS_LOW_CUTOFF = 2
|
||||
PREPROCESSING_BANDPASS_HIGH_CUTOFF = 40
|
||||
|
||||
AOA_SLIDING_WINDOW_SIZE = 40
|
||||
|
||||
RECEIVE_HOSTS = [("cfalas.com", 10001), ("cfalas.com", 10002)]
|
||||
INJECT_HOST = ("cfalas.com", 10003)
|
||||
|
||||
ANTENNA_ORDER = [
|
||||
(("cfalas.com", 10001), 0),
|
||||
(("cfalas.com", 10002), 1),
|
||||
(("cfalas.com", 10002), 0),
|
||||
(("cfalas.com", 10001), 1),
|
||||
]
|
||||
|
||||
SAMPLE_RATE = 100 # Hz
|
||||
|
||||
EIGVAL_THRESHOLD = 10
|
||||
|
||||
|
||||
# DELTA_F = 78_125 # Spacing between subcarriers in Hz
|
||||
DELTA_F = 312_500 # Spacing between subcarriers in Hz
|
||||
CENTRAL_FREQUENCY_MHZ = 6195
|
||||
ANTENNA_SPACING = 0.0285 # 2.85 cm
|
||||
CHANNEL_WIDTH = 20
|
||||
FRAME_FORMAT = "HT"
|
||||
|
||||
|
||||
CENTRAL_FREQUENCY_HZ = CENTRAL_FREQUENCY_MHZ * 1_000_000
|
||||
C = 299_792_458 # m/s
|
||||
|
||||
VISUALISE_RAW = False
|
||||
HEATMAP_FPS = 10
|
||||
145
src/ingest.py
Normal file
145
src/ingest.py
Normal file
@ -0,0 +1,145 @@
|
||||
import logging
|
||||
import time
|
||||
import socket
|
||||
import multiprocessing as mp
|
||||
import struct
|
||||
import torch
|
||||
from datetime import datetime
|
||||
import numpy as np
|
||||
|
||||
from .csi import CSI
|
||||
from .aoa import AoA
|
||||
from .preprocess import Preprocessor
|
||||
from . import config
|
||||
|
||||
|
||||
device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
|
||||
Host = tuple[str, int]
|
||||
|
||||
|
||||
class FeitTransmitter:
|
||||
def __init__(self):
|
||||
self.inject_server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
|
||||
self.inject_server.connect(config.INJECT_HOST)
|
||||
inject_start_string = (
|
||||
f"feitcsi --frequency {config.CENTRAL_FREQUENCY_MHZ} "
|
||||
f"--channel-width {config.CHANNEL_WIDTH} "
|
||||
f"--format {config.FRAME_FORMAT} "
|
||||
f"--mode inject -s 1 --verbose "
|
||||
f"--inject-delay {1_000_000 // config.SAMPLE_RATE}"
|
||||
)
|
||||
self.inject_server.send(b"stop\n")
|
||||
self.inject_server.send(inject_start_string.encode())
|
||||
|
||||
|
||||
class FeitReceiver:
|
||||
def __init__(self, host: Host, processing_queue: "mp.Queue[CSI]"):
|
||||
self.host = host
|
||||
self.server = socket.socket(socket.AF_INET, socket.SOCK_DGRAM)
|
||||
self.server.connect(host)
|
||||
self.start_string = (
|
||||
f"feitcsi --frequency {config.CENTRAL_FREQUENCY_MHZ} "
|
||||
f"--channel-width {config.CHANNEL_WIDTH} "
|
||||
f"--format {config.FRAME_FORMAT} "
|
||||
f"--mode measure"
|
||||
)
|
||||
self.server.send(b"stop\n")
|
||||
self.server.send(self.start_string.encode())
|
||||
self.logger = logging.getLogger(
|
||||
f"{__name__}.{self.__class__.__name__}-{self.host}"
|
||||
)
|
||||
self.processing_queue = processing_queue
|
||||
|
||||
def listen(self):
|
||||
prev_time = datetime.now()
|
||||
while True:
|
||||
# This is the max size of a UDP packet. The size of the actual CSI
|
||||
# packet will depend on the frame format and channel width, which
|
||||
# changes the number of subcarriers
|
||||
data = self.server.recv(65535)
|
||||
try:
|
||||
csidata = CSI(data)
|
||||
self.logger.debug(
|
||||
f"Received CSI data after {datetime.now() - prev_time}"
|
||||
)
|
||||
prev_time = datetime.now()
|
||||
self.processing_queue.put(csidata)
|
||||
except struct.error:
|
||||
self.logger.error("Failed to parse CSI data")
|
||||
|
||||
|
||||
class CSIProcessor:
|
||||
def __init__(
|
||||
self,
|
||||
receiver_connections: dict[Host, "mp.Queue[CSI]"],
|
||||
webserver: "mp.Queue[AoA]",
|
||||
):
|
||||
self.pending_data: dict[Host, tuple[datetime, CSI]] = {}
|
||||
self.pending_data_lock = mp.Lock()
|
||||
self.logger = logging.getLogger(f"{__name__}.{self.__class__.__name__}")
|
||||
self.last_processed = datetime.now()
|
||||
|
||||
self.preprocess = Preprocessor()
|
||||
self.aoa = AoA()
|
||||
|
||||
self.connections = receiver_connections
|
||||
self.webserver = webserver
|
||||
|
||||
def add_data(self, host: Host, data: CSI):
|
||||
if (
|
||||
host in self.pending_data
|
||||
and self.last_processed < self.pending_data[host][0]
|
||||
):
|
||||
self.logger.warning(
|
||||
f"Skipping data from {host} at {self.pending_data[host][0]}"
|
||||
)
|
||||
|
||||
with self.pending_data_lock:
|
||||
self.pending_data[host] = (datetime.now(), data)
|
||||
|
||||
# Useful for figuring out the correct antenna order - RSSI values will decrease
|
||||
# when the specific antenna is disconnected
|
||||
rssis = [
|
||||
(ip, csi.header.rssi1, csi.header.rssi2)
|
||||
for ip, (_, csi) in sorted(self.pending_data.items())
|
||||
]
|
||||
self.logger.debug("Antenna RSSI values: {}".format(rssis))
|
||||
|
||||
def is_ready(self):
|
||||
for host in config.RECEIVE_HOSTS:
|
||||
if (
|
||||
host not in self.pending_data
|
||||
or self.pending_data[host][0] <= self.last_processed
|
||||
):
|
||||
return False
|
||||
return True
|
||||
|
||||
def process_data(self):
|
||||
self.last_processed = datetime.now()
|
||||
antenna_data = [
|
||||
np.expand_dims(self.pending_data[ip][1].matrix[:, antenna], axis=2)
|
||||
for ip, antenna in config.ANTENNA_ORDER
|
||||
]
|
||||
|
||||
# We have data from all servers
|
||||
all_data = np.concat(antenna_data, axis=1)
|
||||
self.logger.info(f"Got final CSI data with shape {all_data.shape}")
|
||||
|
||||
processed = self.preprocess.preprocess(all_data)
|
||||
processed_tensor = torch.tensor(processed, device=device)
|
||||
# visualise.add_data(all_data_tensor, processed)
|
||||
self.aoa.update(processed_tensor)
|
||||
self.logger.info("Processed data")
|
||||
if not self.webserver.full():
|
||||
self.webserver.put(self.aoa)
|
||||
|
||||
def process_forever(self):
|
||||
while True:
|
||||
for ip, queue in self.connections.items():
|
||||
while not queue.empty():
|
||||
self.add_data(ip, queue.get())
|
||||
if self.is_ready():
|
||||
self.process_data()
|
||||
else:
|
||||
self.logger.debug("Not all data is ready")
|
||||
time.sleep(0.001)
|
||||
@ -6,7 +6,7 @@ import numpy.typing as npt
|
||||
import torch
|
||||
import torch.linalg
|
||||
|
||||
from ..config import config
|
||||
from .. import config
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
@ -65,7 +65,7 @@ class AoA:
|
||||
(self.historical_autocorr, torch.unsqueeze(auto_corr, 0))
|
||||
)
|
||||
|
||||
WINDOW_SIZE = config.music.window_size
|
||||
WINDOW_SIZE = config.AOA_SLIDING_WINDOW_SIZE
|
||||
if self.historical_autocorr.shape[0] > WINDOW_SIZE:
|
||||
self.historical_autocorr = self.historical_autocorr[-WINDOW_SIZE:]
|
||||
|
||||
@ -74,20 +74,26 @@ class AoA:
|
||||
|
||||
# The smallest eigenvectors span the noise subspace,
|
||||
# and the largest span the signal subspace.
|
||||
eigvals, eigvecs = np.linalg.eigh(R)
|
||||
self.E_n = eigvecs[:, np.abs(eigvals) < config.music.eigval_threshold]
|
||||
eigvals, eigvecs = torch.linalg.eigh(R)
|
||||
logging.debug(f"Eigenvalues: {eigvals}")
|
||||
self.E_n = eigvecs[:, torch.abs(eigvals) < config.EIGVAL_THRESHOLD]
|
||||
|
||||
def steering_vector(
|
||||
self, theta: float, tof: float
|
||||
) -> npt.NDArray[np.complexfloating]:
|
||||
omega_t: npt.NDArray[np.complex64] = np.exp(-2j * np.pi * config.delta_f * tof)
|
||||
phi_theta: npt.NDArray[np.complex64] = np.exp(
|
||||
def steering_vector(self, theta: float, tof: float) -> torch.Tensor:
|
||||
omega_t = torch.exp(
|
||||
torch.tensor([-2j * torch.pi * config.DELTA_F * tof], dtype=torch.complex64)
|
||||
)
|
||||
phi_theta = torch.exp(
|
||||
torch.tensor(
|
||||
[
|
||||
2j
|
||||
* np.pi
|
||||
* config.central_freq_hz
|
||||
* config.antennas.spacing
|
||||
* config.CENTRAL_FREQUENCY_HZ
|
||||
* config.ANTENNA_SPACING
|
||||
* (1 - np.cos(theta))
|
||||
/ 299_792_458
|
||||
/ config.C
|
||||
],
|
||||
dtype=torch.complex64,
|
||||
)
|
||||
)
|
||||
|
||||
omega_t = torch.unsqueeze(omega_t, dim=-1)
|
||||
@ -131,9 +137,9 @@ def test_smoothing() -> None:
|
||||
|
||||
def test_steering_vector() -> None:
|
||||
aoa = AoA()
|
||||
aoa.N_subcarriers = 10
|
||||
aoa.N_rx = 2
|
||||
tau = 1
|
||||
theta = 0
|
||||
aoa.N_subcarriers = 6
|
||||
aoa.N_rx = 4
|
||||
tau = 1e-8
|
||||
theta = np.pi / 2
|
||||
print(aoa.steering_vector(theta, tau))
|
||||
assert False
|
||||
@ -5,7 +5,7 @@ import numpy as np
|
||||
import numpy.typing as npt
|
||||
from scipy.signal import butter, correlate, sosfilt, sosfilt_zi
|
||||
|
||||
from ..config import config
|
||||
from .. import config
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
logger.setLevel(logging.DEBUG)
|
||||
@ -20,8 +20,11 @@ class Preprocessor:
|
||||
self.long_term_avg = np.zeros((1,), dtype=np.complex64)
|
||||
self.filter = butter(
|
||||
5,
|
||||
config.preprocessing.bandpass.bounds,
|
||||
fs=config.sample_rate,
|
||||
[
|
||||
config.PREPROCESSING_BANDPASS_LOW_CUTOFF,
|
||||
config.PREPROCESSING_BANDPASS_HIGH_CUTOFF,
|
||||
],
|
||||
fs=config.SAMPLE_RATE,
|
||||
btype="band",
|
||||
output="sos",
|
||||
)
|
||||
@ -49,8 +52,8 @@ class Preprocessor:
|
||||
self.long_term_avg = np.zeros(h_hat.shape, dtype=np.complex64)
|
||||
|
||||
self.long_term_avg = (
|
||||
self.long_term_avg * (1 - config.preprocessing.moving_average_alpha)
|
||||
+ h_hat * config.preprocessing.moving_average_alpha
|
||||
self.long_term_avg * (1 - config.PREPROCESSING_LONG_TERM_ALPHA)
|
||||
+ h_hat * config.PREPROCESSING_LONG_TERM_ALPHA
|
||||
)
|
||||
|
||||
# Remove long term average, to remove static paths
|
||||
@ -28,12 +28,12 @@ def callback(antenna_data: dict[ingest.Host, ingest.CSI]) -> None:
|
||||
)
|
||||
for host, csi in antenna_data.items():
|
||||
antenna_average[(host, 0)] = (
|
||||
antenna_average.get((host, 0), csi.header.rssi1) * 0.99
|
||||
+ csi.header.rssi1 * 0.01
|
||||
antenna_average.get((host, 0), csi.header.rssi1) * 0.9
|
||||
+ csi.header.rssi1 * 0.1
|
||||
)
|
||||
antenna_average[(host, 1)] = (
|
||||
antenna_average.get((host, 1), csi.header.rssi2) * 0.99
|
||||
+ csi.header.rssi2 * 0.01
|
||||
antenna_average.get((host, 1), csi.header.rssi2) * 0.9
|
||||
+ csi.header.rssi2 * 0.1
|
||||
)
|
||||
if csi.header.rssi1 > antenna_average[(host, 0)] + RSSI_THRESHOLD:
|
||||
unplugged.add((host, 0))
|
||||
@ -1,20 +1,20 @@
|
||||
import io
|
||||
import logging
|
||||
import multiprocessing as mp
|
||||
import time
|
||||
from datetime import datetime
|
||||
from typing import Generator
|
||||
|
||||
import matplotlib
|
||||
import matplotlib.pyplot as plt
|
||||
from flask import Flask, render_template, Response, request
|
||||
from flask_sock import Sock
|
||||
import numpy as np
|
||||
import numpy.typing as npt
|
||||
from flask import Flask, Response, render_template, request
|
||||
from flask_sock import Sock
|
||||
from simple_websocket import Server
|
||||
import time
|
||||
from datetime import datetime
|
||||
import multiprocessing as mp
|
||||
|
||||
import matplotlib.pyplot as plt
|
||||
import io
|
||||
import logging
|
||||
|
||||
from .. import config
|
||||
from ..processing.aoa import AoA
|
||||
from .. import config
|
||||
|
||||
import matplotlib
|
||||
|
||||
matplotlib.use("agg")
|
||||
|
||||
@ -30,7 +30,7 @@ aoa: AoA = AoA()
|
||||
|
||||
|
||||
@app.route("/preprocessed")
|
||||
def preprocessed() -> str:
|
||||
def preprocessed():
|
||||
return render_template("preprocessed.html")
|
||||
|
||||
|
||||
@ -39,7 +39,7 @@ subscriber_settings: dict[Subscriber, tuple[int, int, int]] = {}
|
||||
|
||||
|
||||
@sock.route("/data")
|
||||
def get_data(sock: Subscriber) -> None:
|
||||
def get_data(sock: Subscriber):
|
||||
while True:
|
||||
msg = sock.receive()
|
||||
if len(msg.split()) != 3:
|
||||
@ -50,7 +50,7 @@ def get_data(sock: Subscriber) -> None:
|
||||
|
||||
def add_data(
|
||||
raw_data: npt.NDArray[np.complex128], new_data: npt.NDArray[np.complex128]
|
||||
) -> None:
|
||||
):
|
||||
if config.VISUALISE_RAW:
|
||||
magn = np.abs(raw_data)
|
||||
phase = np.angle(raw_data)
|
||||
@ -92,7 +92,7 @@ def add_data(
|
||||
del subscriber_settings[subscriber]
|
||||
|
||||
|
||||
def make_heatmap(aoa: AoA, max_tof: float) -> io.BytesIO:
|
||||
def make_heatmap(aoa: AoA, max_tof: float):
|
||||
logger.info(f"Making heatmap with aoa of {aoa.timestamp}")
|
||||
fig = plt.figure()
|
||||
ax = fig.add_axes([0, 0, 1, 1], polar=True)
|
||||
@ -112,7 +112,7 @@ def make_heatmap(aoa: AoA, max_tof: float) -> io.BytesIO:
|
||||
return buf
|
||||
|
||||
|
||||
def gather_aoa(max_tof: float) -> Generator[bytes, None, None]:
|
||||
def gather_aoa(max_tof: float):
|
||||
assert aoa_queue is not None
|
||||
|
||||
prev_frame = datetime.now()
|
||||
@ -130,7 +130,7 @@ def gather_aoa(max_tof: float) -> Generator[bytes, None, None]:
|
||||
|
||||
|
||||
@app.route("/aoa_tof")
|
||||
def aoa_tof() -> Response:
|
||||
def aoa_tof():
|
||||
max_tof_str = request.args.get("max_tof")
|
||||
try:
|
||||
max_tof = float(max_tof_str)
|
||||
@ -141,9 +141,8 @@ def aoa_tof() -> Response:
|
||||
)
|
||||
|
||||
|
||||
def start(conn: "mp.Queue[AoA]") -> None:
|
||||
global app, aoa_queue
|
||||
def start(conn: "mp.Queue[AoA]"):
|
||||
global aoa_queue
|
||||
|
||||
aoa_queue = conn
|
||||
app.run(debug=True, use_reloader=False, host="0.0.0.0")
|
||||
logger.info("Visualisation server shut down")
|
||||
201
uv.lock
201
uv.lock
@ -1,15 +1,6 @@
|
||||
version = 1
|
||||
requires-python = ">=3.11"
|
||||
|
||||
[[package]]
|
||||
name = "annotated-types"
|
||||
version = "0.7.0"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/ee/67/531ea369ba64dcff5ec9c3402f9f51bf748cec26dde048a2f973a4eea7f5/annotated_types-0.7.0.tar.gz", hash = "sha256:aff07c09a53a08bc8cfccb9c85b05f1aa9a2a6f23728d790723543408344ce89", size = 16081 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/78/b6/6307fbef88d9b5ee7421e68d78a9f162e0da4900bc5f5793f6d3d0e34fb8/annotated_types-0.7.0-py3-none-any.whl", hash = "sha256:1f02e8b43a8fbbc3f3e0d4f0f4bfc8131bcb4eebe8849b8e5c773f3a1c582a53", size = 13643 },
|
||||
]
|
||||
|
||||
[[package]]
|
||||
name = "blinker"
|
||||
version = "1.9.0"
|
||||
@ -131,35 +122,35 @@ wheels = [
|
||||
|
||||
[[package]]
|
||||
name = "fonttools"
|
||||
version = "4.55.6"
|
||||
version = "4.55.5"
|
||||
source = { registry = "https://pypi.org/simple" }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/49/2e/0b11e907b90665253dbad425479e874e38a9e81ced397a4e3312b9116935/fonttools-4.55.6.tar.gz", hash = "sha256:1beb4647a0df5ceaea48015656525eb8081af226fe96554089fd3b274d239ef0", size = 3500677 }
|
||||
sdist = { url = "https://files.pythonhosted.org/packages/8b/d0/6a515b1587f2fe3540429120b20c674687e6f5fdd7dbd114f0fca224294b/fonttools-4.55.5.tar.gz", hash = "sha256:87afe2a1e81a55131bbae66f3f1718b1faee3218b1261abce036d7d189094c36", size = 3499695 }
|
||||
wheels = [
|
||||
{ url = "https://files.pythonhosted.org/packages/53/42/e6cb653675fcf2bed7814b5d688c95a1b6d136ad26e4ed1523c18d6dbb28/fonttools-4.55.6-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:0879f99eabbf2171dfadd9c8c75cec2b7b3aa9cd1f3955dd799c69d60a5189ef", size = 2776041 },
|
||||
{ url = "https://files.pythonhosted.org/packages/58/b6/d54d71a59498def2b58d5ec5f8baad35add4a076edb1968d645b7a95759a/fonttools-4.55.6-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:d77d83ca77a4c3156a2f4cbc7f09f5a8503795da658fa255b987ad433a191266", size = 2304268 },
|
||||
{ url = "https://files.pythonhosted.org/packages/fe/ed/0743c21126fc3442a710b8c880355e381dd750a18bfe10097d663a1838c5/fonttools-4.55.6-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:07478132407736ee5e54f9f534e73923ae28e9bb6dba17764a35e3caf7d7fea3", size = 4891976 },
|
||||
{ url = "https://files.pythonhosted.org/packages/0d/73/8f7a0084bc0b3591e281fdcef7e704ad3817244d35ca98b444de5acf0f47/fonttools-4.55.6-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e1c06fbc2fd76b9bab03eddfd8aa9fb7c0981d314d780e763c80aa76be1c9982", size = 4921223 },
|
||||
{ url = "https://files.pythonhosted.org/packages/ad/75/b47d792d4c4f65ff488d9f25d59f8bb6382c74efd6169bd3c0341320ac76/fonttools-4.55.6-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:09ed667c4753e1270994e5398cce8703e6423c41702a55b08f843b2907b1be65", size = 4900418 },
|
||||
{ url = "https://files.pythonhosted.org/packages/88/70/f821dce8121b6c4bccd10ca28499df2e0e9811e2a711deeb270b9065fcd9/fonttools-4.55.6-cp311-cp311-musllinux_1_2_x86_64.whl", hash = "sha256:0ee6ed68af8d57764d69da099db163aaf37d62ba246cfd42f27590e3e6724b55", size = 5068531 },
|
||||
{ url = "https://files.pythonhosted.org/packages/76/6e/6b7c919c4f985042fe02fe9cbd3d956e2e85a6db8575737ff600aa24c42c/fonttools-4.55.6-cp311-cp311-win32.whl", hash = "sha256:9f99e7876518b2d059a9cc67c506168aebf9c71ac8d81006d75e684222f291d2", size = 2177287 },
|
||||
{ url = "https://files.pythonhosted.org/packages/1e/10/26a4123227fa1ab9fa8ec062f4f2b980f43483d58ec261d502bfe49af6c2/fonttools-4.55.6-cp311-cp311-win_amd64.whl", hash = "sha256:3aa6c684007723895aade9b2fe76d07008c9dc90fd1ef6c310b3ca9c8566729f", size = 2223807 },
|
||||
{ url = "https://files.pythonhosted.org/packages/f7/c0/b9c7308f925545702a2ecc696bb59ed0cab544aa53b3abd6c0f3ab1186e2/fonttools-4.55.6-cp312-cp312-macosx_10_13_universal2.whl", hash = "sha256:51120695ee13001533e50abd40eec32c01b9c6f44c5567db38a7acd3eedcd19d", size = 2770475 },
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|
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|
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[[package]]
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source = { registry = "https://pypi.org/simple" }
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wheels = [
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||||
[[package]]
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||||
name = "rich"
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||||
version = "13.9.4"
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||||
@ -815,16 +678,13 @@ wheels = [
|
||||
[[package]]
|
||||
name = "where-fi"
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||||
version = "0.1.0"
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||||
source = { editable = "." }
|
||||
source = { virtual = "." }
|
||||
dependencies = [
|
||||
{ name = "flask" },
|
||||
{ name = "flask-sock" },
|
||||
{ name = "h5py" },
|
||||
{ name = "matplotlib" },
|
||||
{ name = "numpy" },
|
||||
{ name = "pydantic" },
|
||||
{ name = "pytest" },
|
||||
{ name = "pyyaml" },
|
||||
{ name = "scipy" },
|
||||
{ name = "scipy-stubs" },
|
||||
{ name = "typer" },
|
||||
@ -834,12 +694,9 @@ dependencies = [
|
||||
requires-dist = [
|
||||
{ name = "flask" },
|
||||
{ name = "flask-sock" },
|
||||
{ name = "h5py", specifier = ">=3.12.1" },
|
||||
{ name = "matplotlib" },
|
||||
{ name = "numpy", specifier = ">=2.0.0" },
|
||||
{ name = "pydantic", specifier = ">=2.10.6" },
|
||||
{ name = "numpy" },
|
||||
{ name = "pytest" },
|
||||
{ name = "pyyaml", specifier = ">=6.0.2" },
|
||||
{ name = "scipy" },
|
||||
{ name = "scipy-stubs" },
|
||||
{ name = "typer" },
|
||||
|
||||
@ -1,52 +0,0 @@
|
||||
import logging
|
||||
import multiprocessing as mp
|
||||
import threading
|
||||
from datetime import datetime
|
||||
from pathlib import Path
|
||||
from typing import Any
|
||||
|
||||
import numpy as np
|
||||
import numpy.typing as npt
|
||||
import typer
|
||||
|
||||
from . import globals
|
||||
|
||||
app = typer.Typer()
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def write_to_file(path: Path, queue: "mp.Queue[Any]") -> None:
|
||||
import h5py
|
||||
|
||||
with h5py.File(path, "w") as file:
|
||||
logger.info("Starting writer")
|
||||
while True:
|
||||
data = queue.get()
|
||||
if data is None:
|
||||
break
|
||||
logger.info("Writing data to file")
|
||||
file.create_dataset(datetime.now().isoformat(), data=data)
|
||||
logger.info("Writer stopped")
|
||||
|
||||
|
||||
@app.command()
|
||||
def capture(output_path: Path) -> None:
|
||||
"""Capture CSI data to a file"""
|
||||
logger.info(f"Capturing data to {output_path}")
|
||||
|
||||
queue: "mp.Queue[None | npt.NDArray[np.complex128]]" = mp.Queue()
|
||||
writer = threading.Thread(
|
||||
target=write_to_file,
|
||||
args=(
|
||||
output_path,
|
||||
queue,
|
||||
),
|
||||
)
|
||||
writer.start()
|
||||
|
||||
def callback(antenna_data: npt.NDArray[np.complex128]) -> None:
|
||||
logger.info(f"Got final CSI data with shape {antenna_data.shape}")
|
||||
queue.put(antenna_data)
|
||||
|
||||
globals.csi_producer(csi_callback=callback)
|
||||
queue.put(None)
|
||||
@ -1,18 +0,0 @@
|
||||
from functools import partial
|
||||
from pathlib import Path
|
||||
|
||||
from .. import collection
|
||||
from ..collection import file, ingest
|
||||
|
||||
csi_producer: collection.CSIProducer = collection.noop
|
||||
is_live = True
|
||||
|
||||
|
||||
def main(from_file: Path | None = None) -> None:
|
||||
global csi_producer, is_live
|
||||
if from_file:
|
||||
csi_producer = partial(file.start_processing, file_path=from_file)
|
||||
is_live = False
|
||||
else:
|
||||
csi_producer = ingest.start_processing
|
||||
is_live = True
|
||||
@ -1,9 +0,0 @@
|
||||
from . import file, ingest
|
||||
from .protocols import CSICallback, CSIProducer
|
||||
|
||||
|
||||
def noop(csi_callback: CSICallback | None = None) -> None:
|
||||
del csi_callback
|
||||
|
||||
|
||||
__all__ = ["file", "ingest", "noop", "CSIProducer", "CSICallback"]
|
||||
@ -1,39 +0,0 @@
|
||||
import logging
|
||||
import time
|
||||
from datetime import datetime, timedelta
|
||||
from pathlib import Path
|
||||
|
||||
import h5py
|
||||
|
||||
from . import protocols
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
|
||||
def start_processing(
|
||||
file_path: Path,
|
||||
csi_callback: protocols.CSICallback | None = None,
|
||||
) -> None:
|
||||
logger.info(f"Replaying CSI data from {file_path}")
|
||||
with h5py.File(file_path, "r") as file:
|
||||
try:
|
||||
for key in file:
|
||||
datetime.fromisoformat(key)
|
||||
except ValueError as e:
|
||||
logger.exception(
|
||||
"The file provided was not generated using this software", e
|
||||
)
|
||||
|
||||
start_time = datetime.fromisoformat(list(file.keys())[0])
|
||||
target_offset = datetime.now() - start_time
|
||||
for key in file:
|
||||
logger.debug(f"Sending data from {key} at {datetime.now().isoformat()}")
|
||||
csi_callback(file[key][:])
|
||||
curr_time_virtual = datetime.fromisoformat(key)
|
||||
new_offset = datetime.now() - curr_time_virtual
|
||||
logger.debug(f"New offset {new_offset}, target is {target_offset}")
|
||||
if new_offset > target_offset + timedelta(seconds=1):
|
||||
logger.warning(
|
||||
f"Data is {new_offset - target_offset} behind, lagging behind..."
|
||||
)
|
||||
time.sleep(max(0, (target_offset - new_offset).total_seconds()))
|
||||
@ -1,10 +0,0 @@
|
||||
from typing import Callable, Protocol
|
||||
|
||||
import numpy as np
|
||||
import numpy.typing as npt
|
||||
|
||||
CSICallback = Callable[[npt.NDArray[np.complex64]], None]
|
||||
|
||||
|
||||
class CSIProducer(Protocol):
|
||||
def __call__(self, csi_callback: CSICallback | None = None) -> None: ...
|
||||
@ -1,24 +0,0 @@
|
||||
import logging
|
||||
import sys
|
||||
|
||||
import pydantic
|
||||
import yaml
|
||||
|
||||
from . import models
|
||||
|
||||
logger = logging.getLogger(__name__)
|
||||
|
||||
try:
|
||||
config = yaml.safe_load(open("config.yaml"))
|
||||
except FileNotFoundError:
|
||||
logger.error(
|
||||
"No config.yaml file found. Make sure to copy the "
|
||||
"config.example.yaml file to config.yaml"
|
||||
)
|
||||
sys.exit(1)
|
||||
|
||||
try:
|
||||
config = models.Config(**config)
|
||||
except pydantic.ValidationError as e:
|
||||
logger.error(f"Invalid config.yaml file: {e}")
|
||||
sys.exit(1)
|
||||
@ -1,82 +0,0 @@
|
||||
from typing import Literal, Self
|
||||
|
||||
from pydantic import BaseModel, model_validator
|
||||
|
||||
Host = tuple[str, int]
|
||||
|
||||
|
||||
class Preprocessing(BaseModel):
|
||||
moving_average_alpha: float
|
||||
|
||||
class Bandpass(BaseModel):
|
||||
lowcut: int
|
||||
highcut: int
|
||||
|
||||
@property
|
||||
def bounds(self) -> tuple[int, int]:
|
||||
return (self.lowcut, self.highcut)
|
||||
|
||||
bandpass: Bandpass
|
||||
|
||||
|
||||
class MUSIC(BaseModel):
|
||||
eigval_threshold: int
|
||||
window_size: int
|
||||
|
||||
|
||||
class Antennas(BaseModel):
|
||||
spacing: float
|
||||
order: list[tuple[Host, int]]
|
||||
|
||||
|
||||
class Config(BaseModel):
|
||||
receive_hosts: list[Host]
|
||||
transmit_host: Host
|
||||
|
||||
antennas: Antennas
|
||||
|
||||
sample_rate: int
|
||||
central_freq: int
|
||||
channel_width: Literal[20, 40, 80, 160]
|
||||
frame_format: Literal["NOHT", "HT", "VHT", "HESU"]
|
||||
|
||||
preprocessing: Preprocessing
|
||||
music: MUSIC
|
||||
|
||||
@property
|
||||
def central_freq_hz(self) -> int:
|
||||
return self.central_freq * 1_000_000
|
||||
|
||||
@property
|
||||
def band(self) -> Literal["2.4", "5", "6"]:
|
||||
if self.central_freq in range(2412, 2484):
|
||||
return "2.4"
|
||||
if self.central_freq in range(5180, 5320):
|
||||
return "5"
|
||||
if self.central_freq in range(5955, 7115):
|
||||
return "6"
|
||||
raise ValueError(f"{self.central_freq} is not a valid Wi-Fi channel")
|
||||
|
||||
@property
|
||||
def delta_f(self) -> int:
|
||||
if self.frame_format == "HESU":
|
||||
return 78_125
|
||||
return 312_500
|
||||
|
||||
@model_validator(mode="after")
|
||||
def channels(self) -> Self:
|
||||
band_start = 2412 if self.band == "2.4" else 5180 if self.band == "5" else 5955
|
||||
if self.band == "2.4" and self.channel_width not in [20, 40]:
|
||||
raise ValueError(
|
||||
f"2.4GHz channel {self.central_freq} must "
|
||||
"have a channel width of 20 or 40 MHz"
|
||||
)
|
||||
|
||||
if (self.band == "2.4" and (self.central_freq - band_start) % 5 != 0) or (
|
||||
self.band in ["5", "6"]
|
||||
and ((self.central_freq - band_start) % self.channel_width != 0)
|
||||
):
|
||||
raise ValueError(
|
||||
f"Central frequency {self.central_freq} must be a channel as in https://en.wikipedia.org/wiki/List_of_WLAN_channels"
|
||||
)
|
||||
return self
|
||||
Loading…
Reference in New Issue
Block a user