jgrewe/minipyrelacs
2
0
Fork 0
forked from awendt/pyrelacs
Code Pull Requests Activity

Compare commits

base: jgrewe:291ed8859cf61ac25bb9ce8d60064b5cd930d348
Branches Tags
jgrewe:main
jgrewe:refactoring
awendt:datastream
awendt:main
awendt:calibration
awendt:refactoring
...
compare: jgrewe:a16fe0b7352e71776c20eecc1e7094e0c6d914be
Branches Tags
jgrewe:main
jgrewe:refactoring
awendt:datastream
awendt:main
awendt:calibration
awendt:refactoring

8 Commits
291ed8859c ... a16fe0b735

Author SHA1 Message Date
wendtalexander
a16fe0b735 [project] adding dev dependencies 2024-09-27 16:24:05 +02:00
wendtalexander
5c3c2c407a [project] updating project structure 2024-09-27 14:21:13 +02:00
wendtalexander
8ef8ac7506 [app] adding pyqtplot for displaying the beat 2024-09-27 14:20:43 +02:00
wendtalexander
7d3224f351 [app][repros] adding nix file and checks 2024-09-27 14:20:18 +02:00
wendtalexander
a748385335 [app] [calibration] adding writing to nix file 2024-09-27 14:19:46 +02:00
wendtalexander
cd6bc0dc04 [app] starting repos with as a thread 2024-09-27 10:21:05 +02:00
wendtalexander
cb5c08bc94 [doc] renaming spec sheet 2024-09-27 09:30:46 +02:00
Awendt
45a267c8c7 Merge pull request 'main' (#1) from jgrewe/minipyrelacs:main into main 
Reviewed-on: Awendt/pyrelacs#1
 2024-09-27 07:29:03 +00:00
8 changed files with 571 additions and 161 deletions
Show Stats Expand all files Collapse all files

0
docs/0900766b804c9851.pdf → docs/AttCS3310.pdf
View File

402
poetry.lock generated
View File

@ -1,4 +1,22 @@
# This file is automatically @generated by Poetry 1.8.3 and should not be changed by hand. # This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand.
[[package]]
name = "asttokens"
version = "2.4.1"
description = "Annotate AST trees with source code positions"
optional = false
python-versions = "*"
files = [
{file = "asttokens-2.4.1-py2.py3-none-any.whl", hash = "sha256:051ed49c3dcae8913ea7cd08e46a606dba30b79993209636c4875bc1d637bc24"},
{file = "asttokens-2.4.1.tar.gz", hash = "sha256:b03869718ba9a6eb027e134bfdf69f38a236d681c83c160d510768af11254ba0"},
]
[package.dependencies]
six = ">=1.12.0"
[package.extras]
astroid = ["astroid (>=1,<2)", "astroid (>=2,<4)"]
test = ["astroid (>=1,<2)", "astroid (>=2,<4)", "pytest"]
[[package]] [[package]]
name = "click" name = "click"
@ -124,6 +142,31 @@ files = [
docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] docs = ["ipython", "matplotlib", "numpydoc", "sphinx"]
tests = ["pytest", "pytest-cov", "pytest-xdist"] tests = ["pytest", "pytest-cov", "pytest-xdist"]
[[package]]
name = "decorator"
version = "5.1.1"
description = "Decorators for Humans"
optional = false
python-versions = ">=3.5"
files = [
{file = "decorator-5.1.1-py3-none-any.whl", hash = "sha256:b8c3f85900b9dc423225913c5aace94729fe1fa9763b38939a95226f02d37186"},
{file = "decorator-5.1.1.tar.gz", hash = "sha256:637996211036b6385ef91435e4fae22989472f9d571faba8927ba8253acbc330"},
]
[[package]]
name = "executing"
version = "2.1.0"
description = "Get the currently executing AST node of a frame, and other information"
optional = false
python-versions = ">=3.8"
files = [
{file = "executing-2.1.0-py2.py3-none-any.whl", hash = "sha256:8d63781349375b5ebccc3142f4b30350c0cd9c79f921cde38be2be4637e98eaf"},
{file = "executing-2.1.0.tar.gz", hash = "sha256:8ea27ddd260da8150fa5a708269c4a10e76161e2496ec3e587da9e3c0fe4b9ab"},
]
[package.extras]
tests = ["asttokens (>=2.1.0)", "coverage", "coverage-enable-subprocess", "ipython", "littleutils", "pytest", "rich"]
[[package]] [[package]]
name = "fonttools" name = "fonttools"
version = "4.53.1" version = "4.53.1"
@ -189,6 +232,99 @@ ufo = ["fs (>=2.2.0,<3)"]
unicode = ["unicodedata2 (>=15.1.0)"] unicode = ["unicodedata2 (>=15.1.0)"]
woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"] woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
[[package]]
name = "h5py"
version = "3.12.1"
description = "Read and write HDF5 files from Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "h5py-3.12.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:2f0f1a382cbf494679c07b4371f90c70391dedb027d517ac94fa2c05299dacda"},
{file = "h5py-3.12.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cb65f619dfbdd15e662423e8d257780f9a66677eae5b4b3fc9dca70b5fd2d2a3"},
{file = "h5py-3.12.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:3b15d8dbd912c97541312c0e07438864d27dbca857c5ad634de68110c6beb1c2"},
{file = "h5py-3.12.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:59685fe40d8c1fbbee088c88cd4da415a2f8bee5c270337dc5a1c4aa634e3307"},
{file = "h5py-3.12.1-cp310-cp310-win_amd64.whl", hash = "sha256:577d618d6b6dea3da07d13cc903ef9634cde5596b13e832476dd861aaf651f3e"},
{file = "h5py-3.12.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:ccd9006d92232727d23f784795191bfd02294a4f2ba68708825cb1da39511a93"},
{file = "h5py-3.12.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:ad8a76557880aed5234cfe7279805f4ab5ce16b17954606cca90d578d3e713ef"},
{file = "h5py-3.12.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1473348139b885393125126258ae2d70753ef7e9cec8e7848434f385ae72069e"},
{file = "h5py-3.12.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:018a4597f35092ae3fb28ee851fdc756d2b88c96336b8480e124ce1ac6fb9166"},
{file = "h5py-3.12.1-cp311-cp311-win_amd64.whl", hash = "sha256:3fdf95092d60e8130ba6ae0ef7a9bd4ade8edbe3569c13ebbaf39baefffc5ba4"},
{file = "h5py-3.12.1-cp312-cp312-macosx_10_13_x86_64.whl", hash = "sha256:06a903a4e4e9e3ebbc8b548959c3c2552ca2d70dac14fcfa650d9261c66939ed"},
{file = "h5py-3.12.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7b3b8f3b48717e46c6a790e3128d39c61ab595ae0a7237f06dfad6a3b51d5351"},
{file = "h5py-3.12.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:050a4f2c9126054515169c49cb900949814987f0c7ae74c341b0c9f9b5056834"},
{file = "h5py-3.12.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:5c4b41d1019322a5afc5082864dfd6359f8935ecd37c11ac0029be78c5d112c9"},
{file = "h5py-3.12.1-cp312-cp312-win_amd64.whl", hash = "sha256:e4d51919110a030913201422fb07987db4338eba5ec8c5a15d6fab8e03d443fc"},
{file = "h5py-3.12.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:513171e90ed92236fc2ca363ce7a2fc6f2827375efcbb0cc7fbdd7fe11fecafc"},
{file = "h5py-3.12.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:59400f88343b79655a242068a9c900001a34b63e3afb040bd7cdf717e440f653"},
{file = "h5py-3.12.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d3e465aee0ec353949f0f46bf6c6f9790a2006af896cee7c178a8c3e5090aa32"},
{file = "h5py-3.12.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ba51c0c5e029bb5420a343586ff79d56e7455d496d18a30309616fdbeed1068f"},
{file = "h5py-3.12.1-cp313-cp313-win_amd64.whl", hash = "sha256:52ab036c6c97055b85b2a242cb540ff9590bacfda0c03dd0cf0661b311f522f8"},
{file = "h5py-3.12.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d2b8dd64f127d8b324f5d2cd1c0fd6f68af69084e9e47d27efeb9e28e685af3e"},
{file = "h5py-3.12.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:4532c7e97fbef3d029735db8b6f5bf01222d9ece41e309b20d63cfaae2fb5c4d"},
{file = "h5py-3.12.1-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6fdf6d7936fa824acfa27305fe2d9f39968e539d831c5bae0e0d83ed521ad1ac"},
{file = "h5py-3.12.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:84342bffd1f82d4f036433e7039e241a243531a1d3acd7341b35ae58cdab05bf"},
{file = "h5py-3.12.1-cp39-cp39-win_amd64.whl", hash = "sha256:62be1fc0ef195891949b2c627ec06bc8e837ff62d5b911b6e42e38e0f20a897d"},
{file = "h5py-3.12.1.tar.gz", hash = "sha256:326d70b53d31baa61f00b8aa5f95c2fcb9621a3ee8365d770c551a13dbbcbfdf"},
]
[package.dependencies]
numpy = ">=1.19.3"
[[package]]
name = "ipython"
version = "8.27.0"
description = "IPython: Productive Interactive Computing"
optional = false
python-versions = ">=3.10"
files = [
{file = "ipython-8.27.0-py3-none-any.whl", hash = "sha256:f68b3cb8bde357a5d7adc9598d57e22a45dfbea19eb6b98286fa3b288c9cd55c"},
{file = "ipython-8.27.0.tar.gz", hash = "sha256:0b99a2dc9f15fd68692e898e5568725c6d49c527d36a9fb5960ffbdeaa82ff7e"},
]
[package.dependencies]
colorama = {version = "*", markers = "sys_platform == \"win32\""}
decorator = "*"
jedi = ">=0.16"
matplotlib-inline = "*"
pexpect = {version = ">4.3", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
prompt-toolkit = ">=3.0.41,<3.1.0"
pygments = ">=2.4.0"
stack-data = "*"
traitlets = ">=5.13.0"
[package.extras]
all = ["ipython[black,doc,kernel,matplotlib,nbconvert,nbformat,notebook,parallel,qtconsole]", "ipython[test,test-extra]"]
black = ["black"]
doc = ["docrepr", "exceptiongroup", "intersphinx-registry", "ipykernel", "ipython[test]", "matplotlib", "setuptools (>=18.5)", "sphinx (>=1.3)", "sphinx-rtd-theme", "sphinxcontrib-jquery", "tomli", "typing-extensions"]
kernel = ["ipykernel"]
matplotlib = ["matplotlib"]
nbconvert = ["nbconvert"]
nbformat = ["nbformat"]
notebook = ["ipywidgets", "notebook"]
parallel = ["ipyparallel"]
qtconsole = ["qtconsole"]
test = ["packaging", "pickleshare", "pytest", "pytest-asyncio (<0.22)", "testpath"]
test-extra = ["curio", "ipython[test]", "matplotlib (!=3.2.0)", "nbformat", "numpy (>=1.23)", "pandas", "trio"]
[[package]]
name = "jedi"
version = "0.19.1"
description = "An autocompletion tool for Python that can be used for text editors."
optional = false
python-versions = ">=3.6"
files = [
{file = "jedi-0.19.1-py2.py3-none-any.whl", hash = "sha256:e983c654fe5c02867aef4cdfce5a2fbb4a50adc0af145f70504238f18ef5e7e0"},
{file = "jedi-0.19.1.tar.gz", hash = "sha256:cf0496f3651bc65d7174ac1b7d043eff454892c708a87d1b683e57b569927ffd"},
]
[package.dependencies]
parso = ">=0.8.3,<0.9.0"
[package.extras]
docs = ["Jinja2 (==2.11.3)", "MarkupSafe (==1.1.1)", "Pygments (==2.8.1)", "alabaster (==0.7.12)", "babel (==2.9.1)", "chardet (==4.0.0)", "commonmark (==0.8.1)", "docutils (==0.17.1)", "future (==0.18.2)", "idna (==2.10)", "imagesize (==1.2.0)", "mock (==1.0.1)", "packaging (==20.9)", "pyparsing (==2.4.7)", "pytz (==2021.1)", "readthedocs-sphinx-ext (==2.1.4)", "recommonmark (==0.5.0)", "requests (==2.25.1)", "six (==1.15.0)", "snowballstemmer (==2.1.0)", "sphinx (==1.8.5)", "sphinx-rtd-theme (==0.4.3)", "sphinxcontrib-serializinghtml (==1.1.4)", "sphinxcontrib-websupport (==1.2.4)", "urllib3 (==1.26.4)"]
qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
testing = ["Django", "attrs", "colorama", "docopt", "pytest (<7.0.0)"]
[[package]] [[package]]
name = "kiwisolver" name = "kiwisolver"
version = "1.4.7" version = "1.4.7"
@ -399,6 +535,20 @@ python-dateutil = ">=2.7"
[package.extras] [package.extras]
dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"] dev = ["meson-python (>=0.13.1)", "numpy (>=1.25)", "pybind11 (>=2.6)", "setuptools (>=64)", "setuptools_scm (>=7)"]
[[package]]
name = "matplotlib-inline"
version = "0.1.7"
description = "Inline Matplotlib backend for Jupyter"
optional = false
python-versions = ">=3.8"
files = [
{file = "matplotlib_inline-0.1.7-py3-none-any.whl", hash = "sha256:df192d39a4ff8f21b1895d72e6a13f5fcc5099f00fa84384e0ea28c2cc0653ca"},
{file = "matplotlib_inline-0.1.7.tar.gz", hash = "sha256:8423b23ec666be3d16e16b60bdd8ac4e86e840ebd1dd11a30b9f117f2fa0ab90"},
]
[package.dependencies]
traitlets = "*"
[[package]] [[package]]
name = "mdurl" name = "mdurl"
version = "0.1.2" version = "0.1.2"
@ -410,66 +560,65 @@ files = [
{file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"}, {file = "mdurl-0.1.2.tar.gz", hash = "sha256:bb413d29f5eea38f31dd4754dd7377d4465116fb207585f97bf925588687c1ba"},
] ]
[[package]]
name = "nixio"
version = "1.5.3"
description = "Python reimplementation of NIXIO (http://g-node.github.io/nix/)"
optional = false
python-versions = ">=3.6"
files = [
{file = "nixio-1.5.3-py3-none-any.whl", hash = "sha256:5bc6258b0911738070f7008237d4cef348a994cce7f557adf624452f0f4287cb"},
{file = "nixio-1.5.3.tar.gz", hash = "sha256:0ba7a65148297bd43a5ddaf143c4faad1c999771aa1d7e690aa0a5e31f368608"},
]
[package.dependencies]
h5py = "*"
numpy = "*"
six = "*"
[[package]] [[package]]
name = "numpy" name = "numpy"
version = "2.1.1" version = "1.26.4"
description = "Fundamental package for array computing in Python" description = "Fundamental package for array computing in Python"
optional = false optional = false
python-versions = ">=3.10" python-versions = ">=3.9"
files = [ files = [
{file = "numpy-2.1.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c8a0e34993b510fc19b9a2ce7f31cb8e94ecf6e924a40c0c9dd4f62d0aac47d9"}, {file = "numpy-1.26.4-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:9ff0f4f29c51e2803569d7a51c2304de5554655a60c5d776e35b4a41413830d0"},
{file = "numpy-2.1.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:7dd86dfaf7c900c0bbdcb8b16e2f6ddf1eb1fe39c6c8cca6e94844ed3152a8fd"}, {file = "numpy-1.26.4-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:2e4ee3380d6de9c9ec04745830fd9e2eccb3e6cf790d39d7b98ffd19b0dd754a"},
{file = "numpy-2.1.1-cp310-cp310-macosx_14_0_arm64.whl", hash = "sha256:5889dd24f03ca5a5b1e8a90a33b5a0846d8977565e4ae003a63d22ecddf6782f"}, {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d209d8969599b27ad20994c8e41936ee0964e6da07478d6c35016bc386b66ad4"},
{file = "numpy-2.1.1-cp310-cp310-macosx_14_0_x86_64.whl", hash = "sha256:59ca673ad11d4b84ceb385290ed0ebe60266e356641428c845b39cd9df6713ab"}, {file = "numpy-1.26.4-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffa75af20b44f8dba823498024771d5ac50620e6915abac414251bd971b4529f"},
{file = "numpy-2.1.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:13ce49a34c44b6de5241f0b38b07e44c1b2dcacd9e36c30f9c2fcb1bb5135db7"}, {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:62b8e4b1e28009ef2846b4c7852046736bab361f7aeadeb6a5b89ebec3c7055a"},
{file = "numpy-2.1.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:913cc1d311060b1d409e609947fa1b9753701dac96e6581b58afc36b7ee35af6"}, {file = "numpy-1.26.4-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:a4abb4f9001ad2858e7ac189089c42178fcce737e4169dc61321660f1a96c7d2"},
{file = "numpy-2.1.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:caf5d284ddea7462c32b8d4a6b8af030b6c9fd5332afb70e7414d7fdded4bfd0"}, {file = "numpy-1.26.4-cp310-cp310-win32.whl", hash = "sha256:bfe25acf8b437eb2a8b2d49d443800a5f18508cd811fea3181723922a8a82b07"},
{file = "numpy-2.1.1-cp310-cp310-musllinux_1_2_aarch64.whl", hash = "sha256:57eb525e7c2a8fdee02d731f647146ff54ea8c973364f3b850069ffb42799647"}, {file = "numpy-1.26.4-cp310-cp310-win_amd64.whl", hash = "sha256:b97fe8060236edf3662adfc2c633f56a08ae30560c56310562cb4f95500022d5"},
{file = "numpy-2.1.1-cp310-cp310-win32.whl", hash = "sha256:9a8e06c7a980869ea67bbf551283bbed2856915f0a792dc32dd0f9dd2fb56728"}, {file = "numpy-1.26.4-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:4c66707fabe114439db9068ee468c26bbdf909cac0fb58686a42a24de1760c71"},
{file = "numpy-2.1.1-cp310-cp310-win_amd64.whl", hash = "sha256:d10c39947a2d351d6d466b4ae83dad4c37cd6c3cdd6d5d0fa797da56f710a6ae"}, {file = "numpy-1.26.4-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:edd8b5fe47dab091176d21bb6de568acdd906d1887a4584a15a9a96a1dca06ef"},
{file = "numpy-2.1.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:0d07841fd284718feffe7dd17a63a2e6c78679b2d386d3e82f44f0108c905550"}, {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:7ab55401287bfec946ced39700c053796e7cc0e3acbef09993a9ad2adba6ca6e"},
{file = "numpy-2.1.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:b5613cfeb1adfe791e8e681128f5f49f22f3fcaa942255a6124d58ca59d9528f"}, {file = "numpy-1.26.4-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:666dbfb6ec68962c033a450943ded891bed2d54e6755e35e5835d63f4f6931d5"},
{file = "numpy-2.1.1-cp311-cp311-macosx_14_0_arm64.whl", hash = "sha256:0b8cc2715a84b7c3b161f9ebbd942740aaed913584cae9cdc7f8ad5ad41943d0"}, {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:96ff0b2ad353d8f990b63294c8986f1ec3cb19d749234014f4e7eb0112ceba5a"},
{file = "numpy-2.1.1-cp311-cp311-macosx_14_0_x86_64.whl", hash = "sha256:b49742cdb85f1f81e4dc1b39dcf328244f4d8d1ded95dea725b316bd2cf18c95"}, {file = "numpy-1.26.4-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:60dedbb91afcbfdc9bc0b1f3f402804070deed7392c23eb7a7f07fa857868e8a"},
{file = "numpy-2.1.1-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8d5f8a8e3bc87334f025194c6193e408903d21ebaeb10952264943a985066ca"}, {file = "numpy-1.26.4-cp311-cp311-win32.whl", hash = "sha256:1af303d6b2210eb850fcf03064d364652b7120803a0b872f5211f5234b399f20"},
{file = "numpy-2.1.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d51fc141ddbe3f919e91a096ec739f49d686df8af254b2053ba21a910ae518bf"}, {file = "numpy-1.26.4-cp311-cp311-win_amd64.whl", hash = "sha256:cd25bcecc4974d09257ffcd1f098ee778f7834c3ad767fe5db785be9a4aa9cb2"},
{file = "numpy-2.1.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:98ce7fb5b8063cfdd86596b9c762bf2b5e35a2cdd7e967494ab78a1fa7f8b86e"}, {file = "numpy-1.26.4-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:b3ce300f3644fb06443ee2222c2201dd3a89ea6040541412b8fa189341847218"},
{file = "numpy-2.1.1-cp311-cp311-musllinux_1_2_aarch64.whl", hash = "sha256:24c2ad697bd8593887b019817ddd9974a7f429c14a5469d7fad413f28340a6d2"}, {file = "numpy-1.26.4-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:03a8c78d01d9781b28a6989f6fa1bb2c4f2d51201cf99d3dd875df6fbd96b23b"},
{file = "numpy-2.1.1-cp311-cp311-win32.whl", hash = "sha256:397bc5ce62d3fb73f304bec332171535c187e0643e176a6e9421a6e3eacef06d"}, {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9fad7dcb1aac3c7f0584a5a8133e3a43eeb2fe127f47e3632d43d677c66c102b"},
{file = "numpy-2.1.1-cp311-cp311-win_amd64.whl", hash = "sha256:ae8ce252404cdd4de56dcfce8b11eac3c594a9c16c231d081fb705cf23bd4d9e"}, {file = "numpy-1.26.4-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:675d61ffbfa78604709862923189bad94014bef562cc35cf61d3a07bba02a7ed"},
{file = "numpy-2.1.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:7c803b7934a7f59563db459292e6aa078bb38b7ab1446ca38dd138646a38203e"}, {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:ab47dbe5cc8210f55aa58e4805fe224dac469cde56b9f731a4c098b91917159a"},
{file = "numpy-2.1.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:6435c48250c12f001920f0751fe50c0348f5f240852cfddc5e2f97e007544cbe"}, {file = "numpy-1.26.4-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1dda2e7b4ec9dd512f84935c5f126c8bd8b9f2fc001e9f54af255e8c5f16b0e0"},
{file = "numpy-2.1.1-cp312-cp312-macosx_14_0_arm64.whl", hash = "sha256:3269c9eb8745e8d975980b3a7411a98976824e1fdef11f0aacf76147f662b15f"}, {file = "numpy-1.26.4-cp312-cp312-win32.whl", hash = "sha256:50193e430acfc1346175fcbdaa28ffec49947a06918b7b92130744e81e640110"},
{file = "numpy-2.1.1-cp312-cp312-macosx_14_0_x86_64.whl", hash = "sha256:fac6e277a41163d27dfab5f4ec1f7a83fac94e170665a4a50191b545721c6521"}, {file = "numpy-1.26.4-cp312-cp312-win_amd64.whl", hash = "sha256:08beddf13648eb95f8d867350f6a018a4be2e5ad54c8d8caed89ebca558b2818"},
{file = "numpy-2.1.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:fcd8f556cdc8cfe35e70efb92463082b7f43dd7e547eb071ffc36abc0ca4699b"}, {file = "numpy-1.26.4-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:7349ab0fa0c429c82442a27a9673fc802ffdb7c7775fad780226cb234965e53c"},
{file = "numpy-2.1.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d2b9cd92c8f8e7b313b80e93cedc12c0112088541dcedd9197b5dee3738c1201"}, {file = "numpy-1.26.4-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:52b8b60467cd7dd1e9ed082188b4e6bb35aa5cdd01777621a1658910745b90be"},
{file = "numpy-2.1.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:afd9c680df4de71cd58582b51e88a61feed4abcc7530bcd3d48483f20fc76f2a"}, {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d5241e0a80d808d70546c697135da2c613f30e28251ff8307eb72ba696945764"},
{file = "numpy-2.1.1-cp312-cp312-musllinux_1_2_aarch64.whl", hash = "sha256:8661c94e3aad18e1ea17a11f60f843a4933ccaf1a25a7c6a9182af70610b2313"}, {file = "numpy-1.26.4-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:f870204a840a60da0b12273ef34f7051e98c3b5961b61b0c2c1be6dfd64fbcd3"},
{file = "numpy-2.1.1-cp312-cp312-win32.whl", hash = "sha256:950802d17a33c07cba7fd7c3dcfa7d64705509206be1606f196d179e539111ed"}, {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:679b0076f67ecc0138fd2ede3a8fd196dddc2ad3254069bcb9faf9a79b1cebcd"},
{file = "numpy-2.1.1-cp312-cp312-win_amd64.whl", hash = "sha256:3fc5eabfc720db95d68e6646e88f8b399bfedd235994016351b1d9e062c4b270"}, {file = "numpy-1.26.4-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:47711010ad8555514b434df65f7d7b076bb8261df1ca9bb78f53d3b2db02e95c"},
{file = "numpy-2.1.1-cp313-cp313-macosx_10_13_x86_64.whl", hash = "sha256:046356b19d7ad1890c751b99acad5e82dc4a02232013bd9a9a712fddf8eb60f5"}, {file = "numpy-1.26.4-cp39-cp39-win32.whl", hash = "sha256:a354325ee03388678242a4d7ebcd08b5c727033fcff3b2f536aea978e15ee9e6"},
{file = "numpy-2.1.1-cp313-cp313-macosx_11_0_arm64.whl", hash = "sha256:6e5a9cb2be39350ae6c8f79410744e80154df658d5bea06e06e0ac5bb75480d5"}, {file = "numpy-1.26.4-cp39-cp39-win_amd64.whl", hash = "sha256:3373d5d70a5fe74a2c1bb6d2cfd9609ecf686d47a2d7b1d37a8f3b6bf6003aea"},
{file = "numpy-2.1.1-cp313-cp313-macosx_14_0_arm64.whl", hash = "sha256:d4c57b68c8ef5e1ebf47238e99bf27657511ec3f071c465f6b1bccbef12d4136"}, {file = "numpy-1.26.4-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:afedb719a9dcfc7eaf2287b839d8198e06dcd4cb5d276a3df279231138e83d30"},
{file = "numpy-2.1.1-cp313-cp313-macosx_14_0_x86_64.whl", hash = "sha256:8ae0fd135e0b157365ac7cc31fff27f07a5572bdfc38f9c2d43b2aff416cc8b0"}, {file = "numpy-1.26.4-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:95a7476c59002f2f6c590b9b7b998306fba6a5aa646b1e22ddfeaf8f78c3a29c"},
{file = "numpy-2.1.1-cp313-cp313-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:981707f6b31b59c0c24bcda52e5605f9701cb46da4b86c2e8023656ad3e833cb"}, {file = "numpy-1.26.4-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:7e50d0a0cc3189f9cb0aeb3a6a6af18c16f59f004b866cd2be1c14b36134a4a0"},
{file = "numpy-2.1.1-cp313-cp313-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2ca4b53e1e0b279142113b8c5eb7d7a877e967c306edc34f3b58e9be12fda8df"}, {file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
{file = "numpy-2.1.1-cp313-cp313-musllinux_1_1_x86_64.whl", hash = "sha256:e097507396c0be4e547ff15b13dc3866f45f3680f789c1a1301b07dadd3fbc78"},
{file = "numpy-2.1.1-cp313-cp313-musllinux_1_2_aarch64.whl", hash = "sha256:f7506387e191fe8cdb267f912469a3cccc538ab108471291636a96a54e599556"},
{file = "numpy-2.1.1-cp313-cp313-win32.whl", hash = "sha256:251105b7c42abe40e3a689881e1793370cc9724ad50d64b30b358bbb3a97553b"},
{file = "numpy-2.1.1-cp313-cp313-win_amd64.whl", hash = "sha256:f212d4f46b67ff604d11fff7cc62d36b3e8714edf68e44e9760e19be38c03eb0"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_10_13_x86_64.whl", hash = "sha256:920b0911bb2e4414c50e55bd658baeb78281a47feeb064ab40c2b66ecba85553"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_11_0_arm64.whl", hash = "sha256:bab7c09454460a487e631ffc0c42057e3d8f2a9ddccd1e60c7bb8ed774992480"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_14_0_arm64.whl", hash = "sha256:cea427d1350f3fd0d2818ce7350095c1a2ee33e30961d2f0fef48576ddbbe90f"},
{file = "numpy-2.1.1-cp313-cp313t-macosx_14_0_x86_64.whl", hash = "sha256:e30356d530528a42eeba51420ae8bf6c6c09559051887196599d96ee5f536468"},
{file = "numpy-2.1.1-cp313-cp313t-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e8dfa9e94fc127c40979c3eacbae1e61fda4fe71d84869cc129e2721973231ef"},
{file = "numpy-2.1.1-cp313-cp313t-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:910b47a6d0635ec1bd53b88f86120a52bf56dcc27b51f18c7b4a2e2224c29f0f"},
{file = "numpy-2.1.1-cp313-cp313t-musllinux_1_1_x86_64.whl", hash = "sha256:13cc11c00000848702322af4de0147ced365c81d66053a67c2e962a485b3717c"},
{file = "numpy-2.1.1-cp313-cp313t-musllinux_1_2_aarch64.whl", hash = "sha256:53e27293b3a2b661c03f79aa51c3987492bd4641ef933e366e0f9f6c9bf257ec"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-macosx_10_15_x86_64.whl", hash = "sha256:7be6a07520b88214ea85d8ac8b7d6d8a1839b0b5cb87412ac9f49fa934eb15d5"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-macosx_14_0_x86_64.whl", hash = "sha256:52ac2e48f5ad847cd43c4755520a2317f3380213493b9d8a4c5e37f3b87df504"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:50a95ca3560a6058d6ea91d4629a83a897ee27c00630aed9d933dff191f170cd"},
{file = "numpy-2.1.1-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:99f4a9ee60eed1385a86e82288971a51e71df052ed0b2900ed30bc840c0f2e39"},
{file = "numpy-2.1.1.tar.gz", hash = "sha256:d0cf7d55b1051387807405b3898efafa862997b4cba8aa5dbe657be794afeafd"},
] ]
[[package]] [[package]]
@ -483,6 +632,35 @@ files = [
{file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"}, {file = "packaging-24.1.tar.gz", hash = "sha256:026ed72c8ed3fcce5bf8950572258698927fd1dbda10a5e981cdf0ac37f4f002"},
] ]
[[package]]
name = "parso"
version = "0.8.4"
description = "A Python Parser"
optional = false
python-versions = ">=3.6"
files = [
{file = "parso-0.8.4-py2.py3-none-any.whl", hash = "sha256:a418670a20291dacd2dddc80c377c5c3791378ee1e8d12bffc35420643d43f18"},
{file = "parso-0.8.4.tar.gz", hash = "sha256:eb3a7b58240fb99099a345571deecc0f9540ea5f4dd2fe14c2a99d6b281ab92d"},
]
[package.extras]
qa = ["flake8 (==5.0.4)", "mypy (==0.971)", "types-setuptools (==67.2.0.1)"]
testing = ["docopt", "pytest"]
[[package]]
name = "pexpect"
version = "4.9.0"
description = "Pexpect allows easy control of interactive console applications."
optional = false
python-versions = "*"
files = [
{file = "pexpect-4.9.0-py2.py3-none-any.whl", hash = "sha256:7236d1e080e4936be2dc3e326cec0af72acf9212a7e1d060210e70a47e253523"},
{file = "pexpect-4.9.0.tar.gz", hash = "sha256:ee7d41123f3c9911050ea2c2dac107568dc43b2d3b0c7557a33212c398ead30f"},
]
[package.dependencies]
ptyprocess = ">=0.5"
[[package]] [[package]]
name = "pillow" name = "pillow"
version = "10.4.0" version = "10.4.0"
@ -580,6 +758,45 @@ tests = ["check-manifest", "coverage", "defusedxml", "markdown2", "olefile", "pa
typing = ["typing-extensions"] typing = ["typing-extensions"]
xmp = ["defusedxml"] xmp = ["defusedxml"]
[[package]]
name = "prompt-toolkit"
version = "3.0.48"
description = "Library for building powerful interactive command lines in Python"
optional = false
python-versions = ">=3.7.0"
files = [
{file = "prompt_toolkit-3.0.48-py3-none-any.whl", hash = "sha256:f49a827f90062e411f1ce1f854f2aedb3c23353244f8108b89283587397ac10e"},
{file = "prompt_toolkit-3.0.48.tar.gz", hash = "sha256:d6623ab0477a80df74e646bdbc93621143f5caf104206aa29294d53de1a03d90"},
]
[package.dependencies]
wcwidth = "*"
[[package]]
name = "ptyprocess"
version = "0.7.0"
description = "Run a subprocess in a pseudo terminal"
optional = false
python-versions = "*"
files = [
{file = "ptyprocess-0.7.0-py2.py3-none-any.whl", hash = "sha256:4b41f3967fce3af57cc7e94b888626c18bf37a083e3651ca8feeb66d492fef35"},
{file = "ptyprocess-0.7.0.tar.gz", hash = "sha256:5c5d0a3b48ceee0b48485e0c26037c0acd7d29765ca3fbb5cb3831d347423220"},
]
[[package]]
name = "pure-eval"
version = "0.2.3"
description = "Safely evaluate AST nodes without side effects"
optional = false
python-versions = "*"
files = [
{file = "pure_eval-0.2.3-py3-none-any.whl", hash = "sha256:1db8e35b67b3d218d818ae653e27f06c3aa420901fa7b081ca98cbedc874e0d0"},
{file = "pure_eval-0.2.3.tar.gz", hash = "sha256:5f4e983f40564c576c7c8635ae88db5956bb2229d7e9237d03b3c0b0190eaf42"},
]
[package.extras]
tests = ["pytest"]
[[package]] [[package]]
name = "pygments" name = "pygments"
version = "2.18.0" version = "2.18.0"
@ -672,6 +889,20 @@ files = [
{file = "PyQt6_sip-13.8.0.tar.gz", hash = "sha256:2f74cf3d6d9cab5152bd9f49d570b2dfb87553ebb5c4919abfde27f5b9fd69d4"}, {file = "PyQt6_sip-13.8.0.tar.gz", hash = "sha256:2f74cf3d6d9cab5152bd9f49d570b2dfb87553ebb5c4919abfde27f5b9fd69d4"},
] ]
[[package]]
name = "pyqtgraph"
version = "0.13.7"
description = "Scientific Graphics and GUI Library for Python"
optional = false
python-versions = ">=3.9"
files = [
{file = "pyqtgraph-0.13.7-py3-none-any.whl", hash = "sha256:7754edbefb6c367fa0dfb176e2d0610da3ada20aa7a5318516c74af5fb72bf7a"},
{file = "pyqtgraph-0.13.7.tar.gz", hash = "sha256:64f84f1935c6996d0e09b1ee66fe478a7771e3ca6f3aaa05f00f6e068321d9e3"},
]
[package.dependencies]
numpy = ">=1.22.0"
[[package]] [[package]]
name = "python-dateutil" name = "python-dateutil"
version = "2.9.0.post0" version = "2.9.0.post0"
@ -777,16 +1008,50 @@ files = [
] ]
[[package]] [[package]]
name = "tomli" name = "stack-data"
version = "2.0.1" version = "0.6.3"
description = "A lil' TOML parser" description = "Extract data from python stack frames and tracebacks for informative displays"
optional = false optional = false
python-versions = ">=3.7" python-versions = "*"
files = [
{file = "stack_data-0.6.3-py3-none-any.whl", hash = "sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695"},
{file = "stack_data-0.6.3.tar.gz", hash = "sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9"},
]
[package.dependencies]
asttokens = ">=2.1.0"
executing = ">=1.2.0"
pure-eval = "*"
[package.extras]
tests = ["cython", "littleutils", "pygments", "pytest", "typeguard"]
[[package]]
name = "tomlkit"
version = "0.13.2"
description = "Style preserving TOML library"
optional = false
python-versions = ">=3.8"
files = [ files = [
{file = "tomli-2.0.1-py3-none-any.whl", hash = "sha256:939de3e7a6161af0c887ef91b7d41a53e7c5a1ca976325f429cb46ea9bc30ecc"}, {file = "tomlkit-0.13.2-py3-none-any.whl", hash = "sha256:7a974427f6e119197f670fbbbeae7bef749a6c14e793db934baefc1b5f03efde"},
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, {file = "tomlkit-0.13.2.tar.gz", hash = "sha256:fff5fe59a87295b278abd31bec92c15d9bc4a06885ab12bcea52c71119392e79"},
] ]
[[package]]
name = "traitlets"
version = "5.14.3"
description = "Traitlets Python configuration system"
optional = false
python-versions = ">=3.8"
files = [
{file = "traitlets-5.14.3-py3-none-any.whl", hash = "sha256:b74e89e397b1ed28cc831db7aea759ba6640cb3de13090ca145426688ff1ac4f"},
{file = "traitlets-5.14.3.tar.gz", hash = "sha256:9ed0579d3502c94b4b3732ac120375cda96f923114522847de4b3bb98b96b6b7"},
]
[package.extras]
docs = ["myst-parser", "pydata-sphinx-theme", "sphinx"]
test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,<8.2)", "pytest-mock", "pytest-mypy-testing"]
[[package]] [[package]]
name = "typer" name = "typer"
version = "0.12.5" version = "0.12.5"
@ -826,7 +1091,18 @@ files = [
{file = "uldaq-1.2.3.tar.gz", hash = "sha256:2d405ead334bb4e37c20b72d8ec498f0e372b08f1d3323f622abe0581ac28b98"}, {file = "uldaq-1.2.3.tar.gz", hash = "sha256:2d405ead334bb4e37c20b72d8ec498f0e372b08f1d3323f622abe0581ac28b98"},
] ]
[[package]]
name = "wcwidth"
version = "0.2.13"
description = "Measures the displayed width of unicode strings in a terminal"
optional = false
python-versions = "*"
files = [
{file = "wcwidth-0.2.13-py2.py3-none-any.whl", hash = "sha256:3da69048e4540d84af32131829ff948f1e022c1c6bdb8d6102117aac784f6859"},
{file = "wcwidth-0.2.13.tar.gz", hash = "sha256:72ea0c06399eb286d978fdedb6923a9eb47e1c486ce63e9b4e64fc18303972b5"},
]
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = "^3.12" python-versions = "^3.12"
content-hash = "477748fbc18bde095d13dea548108541c1b584242099398155787361b1dc31fe" content-hash = "b1076b7f750e8f7e66542918ec746e74544fbfdb376875158f083fb573d18107"

17
pyproject.toml
View File

@ -1,3 +1,7 @@
[project]
organization = "de.uni-tuebingen.neuroetho"
copyright = "(c) 2020, Neuroethology lab, Uni Tuebingen"
[tool.poetry] [tool.poetry]
name = "pyrelacs" name = "pyrelacs"
version = "0.1.0" version = "0.1.0"
@ -6,14 +10,11 @@ authors = ["wendtalexander <wendtalexander@protonmail.com>"]
repository = "https://whale.am28.uni-tuebingen.de/git/awendt/pyrelacs" repository = "https://whale.am28.uni-tuebingen.de/git/awendt/pyrelacs"
readme = "README.md" readme = "README.md"
license = "MIT" license = "MIT"
organization = "de.uni-tuebingen.neuroetho"
classifiers = [ classifiers = [
"Topic :: Scientific/Engineering", "Topic :: Scientific/Engineering",
"Intended Audience :: Science/Research", "Intended Audience :: Science/Research",
"Intended Audience :: End Users/Desktop", "Intended Audience :: End Users/Desktop",
] ]
copyright = "(c) 2020, Neuroethology lab, Uni Tuebingen"
include = [ include = [
{ path = "pyproject.toml" } { path = "pyproject.toml" }
] ]
@ -23,15 +24,19 @@ python = "^3.12"
uldaq = "^1.2.3" uldaq = "^1.2.3"
typer = "^0.12.5" typer = "^0.12.5"
matplotlib = "^3.9.2" matplotlib = "^3.9.2"
numpy = "^2.1.1" numpy = "^1.9"
pyqt6 = "^6.7.1" pyqt6 = "^6.7.1"
tomli = "^2.0.1"
tomlkit = "^0.13.2" tomlkit = "^0.13.2"
scipy = "^1.14.1" scipy = "^1.14.1"
nixio = "^1.5.3"
pyqtgraph = "^0.13.7"
[tool.poetry.scripts] [tool.poetry.scripts]
pyrelacs = "pyrelacs.app:main" pyrelacs = "pyrelacs.app:main"
[tool.poetry.group.dev.dependencies]
ipython = "^8.27.0"
[build-system] [build-system]
requires = ["poetry-core"] requires = ["poetry-core>=1.0.0"]
build-backend = "poetry.core.masonry.api" build-backend = "poetry.core.masonry.api"

97
pyrelacs/app.py
View File

@ -1,8 +1,8 @@
import pathlib
from PyQt6.QtGui import QAction from PyQt6.QtGui import QAction
import sys import sys
import pathlib
from PyQt6.QtCore import QProcess, QSize, QThreadPool, Qt, QSettings from PyQt6.QtCore import QSize, QThreadPool, QSettings
from PyQt6.QtWidgets import ( from PyQt6.QtWidgets import (
QApplication, QApplication,
QGridLayout, QGridLayout,
@ -12,9 +12,12 @@ from PyQt6.QtWidgets import (
QMainWindow, QMainWindow,
QPlainTextEdit, QPlainTextEdit,
) )
import pyqtgraph as pg
import uldaq import uldaq
from IPython import embed from IPython import embed
from scipy.signal import welch, find_peaks
import numpy as np import numpy as np
import nixio as nix
from pyrelacs.util.logging import config_logging from pyrelacs.util.logging import config_logging
import pyrelacs.info as info import pyrelacs.info as info
@ -29,6 +32,7 @@ class PyRelacs(QMainWindow):
super().__init__() super().__init__()
self.setWindowTitle("PyRelacs") self.setWindowTitle("PyRelacs")
self.setMinimumSize(1000, 1000) self.setMinimumSize(1000, 1000)
self.plot_graph = pg.PlotWidget()
self.threadpool = QThreadPool() self.threadpool = QThreadPool()
self.repros = Repro() self.repros = Repro()
@ -41,13 +45,18 @@ class PyRelacs(QMainWindow):
self.daq_disconnect_button.setCheckable(True) self.daq_disconnect_button.setCheckable(True)
self.daq_disconnect_button.clicked.connect(self.disconnect_dac) self.daq_disconnect_button.clicked.connect(self.disconnect_dac)
self.plot_calibration_button = QPushButton("Plot Calibration")
self.plot_calibration_button.setCheckable(True)
self.plot_calibration_button.clicked.connect(self.plot_calibration)
self.text = QPlainTextEdit() self.text = QPlainTextEdit()
self.text.setReadOnly(True) self.text.setReadOnly(True)
layout = QGridLayout() layout = QGridLayout()
layout.addWidget(self.daq_connect_button, 0, 0) layout.addWidget(self.plot_calibration_button, 0, 0)
layout.addWidget(self.daq_disconnect_button, 0, 1) layout.addWidget(self.daq_disconnect_button, 0, 1)
layout.addWidget(self.text, 2, 0, 1, 2) layout.addWidget(self.text, 3, 0, 1, 2)
layout.addWidget(self.plot_graph, 2, 0, 1, 2)
self.toolbar = QToolBar("Repros") self.toolbar = QToolBar("Repros")
self.addToolBar(self.toolbar) self.addToolBar(self.toolbar)
@ -58,6 +67,67 @@ class PyRelacs(QMainWindow):
widget.setLayout(layout) widget.setLayout(layout)
self.setCentralWidget(widget) self.setCentralWidget(widget)
self.nix_file = nix.File.open(
str(pathlib.Path(__file__).parent / "data"), nix.FileMode.ReadOnly
)
def plot_calibration(self):
def decibel(power, ref_power=1.0, min_power=1e-20):
"""Transform power to decibel relative to ref_power.
\\[ decibel = 10 \\cdot \\log_{10}(power/ref\\_power) \\]
Power values smaller than `min_power` are set to `-np.inf`.
Parameters
----------
power: float or array
Power values, for example from a power spectrum or spectrogram.
ref_power: float or None or 'peak'
Reference power for computing decibel.
If set to `None` or 'peak', the maximum power is used.
min_power: float
Power values smaller than `min_power` are set to `-np.inf`.
Returns
-------
decibel_psd: array
Power values in decibel relative to `ref_power`.
"""
if np.isscalar(power):
tmp_power = np.array([power])
decibel_psd = np.array([power])
else:
tmp_power = power
decibel_psd = power.copy()
if ref_power is None or ref_power == "peak":
ref_power = np.max(decibel_psd)
decibel_psd[tmp_power <= min_power] = float("-inf")
decibel_psd[tmp_power > min_power] = 10.0 * np.log10(
decibel_psd[tmp_power > min_power] / ref_power
)
if np.isscalar(power):
return decibel_psd[0]
else:
return decibel_psd
block = self.nix_file.blocks[0]
for stim, fish in zip(
list(block.data_arrays)[::2], list(block.data_arrays)[1::2]
):
beat = stim[:] + fish[:]
beat_squared = beat**2
f, powerspec = welch(beat, fs=40_000.0)
powerspec = decibel(powerspec)
f_sq, powerspec_sq = welch(beat_squared, fs=40_000.0)
powerspec_sq = decibel(powerspec_sq)
peaks = find_peaks(powerspec_sq, prominence=20)[0]
pen = pg.mkPen()
self.plot_graph.plot(
np.arange(0, len(beat)) / 40_000.0, beat_squared, pen=pen
)
def connect_dac(self): def connect_dac(self):
devices = uldaq.get_daq_device_inventory(uldaq.InterfaceType.USB) devices = uldaq.get_daq_device_inventory(uldaq.InterfaceType.USB)
try: try:
@ -93,6 +163,21 @@ class PyRelacs(QMainWindow):
def run_repro(self, n, fn): def run_repro(self, n, fn):
self.text.appendPlainText(f"started Repro {n}, {fn}") self.text.appendPlainText(f"started Repro {n}, {fn}")
worker = Worker(self.repros.run_repro, self.nix_file, n, fn)
worker.signals.result.connect(self.print_output)
worker.signals.finished.connect(self.thread_complete)
worker.signals.progress.connect(self.progress_fn)
self.threadpool.start(worker)
def print_output(self, s):
print(s)
def thread_complete(self):
print("THREAD COMPLETE!")
def progress_fn(self, n):
print("%d%% done" % n)
def main(): def main():
@ -114,7 +199,7 @@ def main():
window.resize(width, height) window.resize(width, height)
window.move(x, y) window.move(x, y)
window.show() window.show()
app.exec() exit_code = app.exec()
# store window position and size # store window position and size
pos = window.pos() pos = window.pos()
@ -126,4 +211,4 @@ def main():
if __name__ == "__main__": if __name__ == "__main__":
main() main()

BIN
pyrelacs/data Normal file
View File

Binary file not shown.

23
pyrelacs/info.py
View File

@ -1,9 +1,10 @@
import tomlkit import tomlkit
import pathlib import pathlib
def load_project_settings(project_root): def load_project_settings(project_root):
# Read the pyproject.toml file # Read the pyproject.toml file
with open(pathlib.Path.joinpath(project_root, 'pyproject.toml'), 'r') as f: with open(pathlib.Path.joinpath(project_root, "pyproject.toml"), "r") as f:
pyproject_content = f.read() pyproject_content = f.read()
# Parse the toml content # Parse the toml content
@ -11,16 +12,16 @@ def load_project_settings(project_root):
# Access project settings # Access project settings
return { return {
'name': pyproject['tool']['poetry']['name'], "name": pyproject["tool"]["poetry"]["name"],
'version': pyproject['tool']['poetry']['version'], "version": pyproject["tool"]["poetry"]["version"],
'description': pyproject['tool']['poetry']['description'], "description": pyproject["tool"]["poetry"]["description"],
'authors': pyproject['tool']['poetry']['authors'], "authors": pyproject["tool"]["poetry"]["authors"],
'readme': pyproject['tool']['poetry']['authors'], "readme": pyproject["tool"]["poetry"]["authors"],
'licence': pyproject['tool']['poetry']['license'], "licence": pyproject["tool"]["poetry"]["license"],
'organization': pyproject['tool']['poetry']['organization'], "organization": pyproject["project"]["organization"],
'classifiers': pyproject['tool']['poetry']['classifiers'], "classifiers": pyproject["tool"]["poetry"]["classifiers"],
'copyright': pyproject['tool']['poetry']['copyright'], "copyright": pyproject["project"]["copyright"],
"repository": pyproject['tool']['poetry']['repository'], "repository": pyproject["tool"]["poetry"]["repository"],
} }

167
pyrelacs/repros/calbi.py
View File

@ -3,6 +3,7 @@ import sys
import faulthandler import faulthandler
import time import time
import nixio as nix
import uldaq import uldaq
from IPython import embed from IPython import embed
import numpy as np import numpy as np
@ -25,12 +26,10 @@ class Calibration(MccDac):
self.AMPLITUDE = 1 self.AMPLITUDE = 1
self.SINFREQ = 750 self.SINFREQ = 750
def run(self): @staticmethod
def run(nix_file: nix.File):
def segfault_handler(self, signum, frame): calb = Calibration()
print(f"Segmentation fault caught! Signal number: {signum}") calb.check_beat(nix_file)
self.disconnect_dac()
sys.exit(1) # Gracefully exit the program
def check_amplitude(self): def check_amplitude(self):
db_values = [0.0, -5.0, -10.0, -20.0, -50.0] db_values = [0.0, -5.0, -10.0, -20.0, -50.0]
@ -53,7 +52,10 @@ class Calibration(MccDac):
) )
data_channel_one = self.read_analog( data_channel_one = self.read_analog(
[0, 0], self.DURATION, self.SAMPLERATE, ScanOption=uldaq.ScanOption.EXTTRIGGER [0, 0],
self.DURATION,
self.SAMPLERATE,
ScanOption=uldaq.ScanOption.EXTTRIGGER,
) )
time.sleep(1) time.sleep(1)
@ -83,7 +85,7 @@ class Calibration(MccDac):
self.disconnect_dac() self.disconnect_dac()
def check_beat(self): def check_beat(self, nix_file: nix.File):
self.set_attenuation_level(db_channel1=-10.0, db_channel2=0.0) self.set_attenuation_level(db_channel1=-10.0, db_channel2=0.0)
t = np.arange(0, self.DURATION, 1 / self.SAMPLERATE) t = np.arange(0, self.DURATION, 1 / self.SAMPLERATE)
data = self.AMPLITUDE * np.sin(2 * np.pi * self.SINFREQ * t) data = self.AMPLITUDE * np.sin(2 * np.pi * self.SINFREQ * t)
@ -91,7 +93,8 @@ class Calibration(MccDac):
db_values = [0.0, -5.0, -8.5, -10.0] db_values = [0.0, -5.0, -8.5, -10.0]
colors = ["red", "blue", "black", "green"] colors = ["red", "blue", "black", "green"]
colors_in = ["lightcoral", "lightblue", "grey", "lightgreen"] colors_in = ["lightcoral", "lightblue", "grey", "lightgreen"]
fig, axes = plt.subplots(2, 2, sharex="col") block = nix_file.create_block("Calibration", "data")
# fig, axes = plt.subplots(2, 2, sharex="col")
for i, db_value in enumerate(db_values): for i, db_value in enumerate(db_values):
self.set_attenuation_level(db_channel1=db_value) self.set_attenuation_level(db_channel1=db_value)
stim = self.write_analog( stim = self.write_analog(
@ -107,7 +110,6 @@ class Calibration(MccDac):
ScanOption=uldaq.ScanOption.EXTTRIGGER, ScanOption=uldaq.ScanOption.EXTTRIGGER,
) )
self.diggital_trigger() self.diggital_trigger()
signal.signal(signal.SIGSEGV, self.segfault_handler)
log.info(self.ao_device) log.info(self.ao_device)
ai_status = uldaq.ScanStatus.RUNNING ai_status = uldaq.ScanStatus.RUNNING
ao_status = uldaq.ScanStatus.RUNNING ao_status = uldaq.ScanStatus.RUNNING
@ -127,8 +129,27 @@ class Calibration(MccDac):
log.debug( log.debug(
f"Status Analog_output {ao_status}\n, Status Analog_input {ai_status}" f"Status Analog_output {ao_status}\n, Status Analog_input {ai_status}"
) )
channel1 = np.array(readout[::2]) channel1 = np.array(readout[::2])
channel2 = np.array(readout[1::2]) channel2 = np.array(readout[1::2])
block.create_data_array(
f"stimulus_{db_value}",
"Array",
shape=data.shape,
data=channel1,
label="Voltage",
unit="V",
)
block.create_data_array(
f"fish_{db_value}",
"Array",
shape=data.shape,
data=channel2,
label="Voltage",
unit="V",
)
beat = channel1 + channel2 beat = channel1 + channel2
beat_square = beat**2 beat_square = beat**2
@ -145,69 +166,69 @@ class Calibration(MccDac):
f_in, powerspec_in = welch(channel2, fs=self.SAMPLERATE) f_in, powerspec_in = welch(channel2, fs=self.SAMPLERATE)
powerspec_in = decibel(powerspec_in) powerspec_in = decibel(powerspec_in)
axes[0, 0].plot( # axes[0, 0].plot(
t, # t,
channel1, # channel1,
label=f"{db_value} Readout Channel0", # label=f"{db_value} Readout Channel0",
color=colors[i], # color=colors[i],
) # )
axes[0, 0].plot( # axes[0, 0].plot(
t, # t,
channel2, # channel2,
label=f"{db_value} Readout Channel1", # label=f"{db_value} Readout Channel1",
color=colors_in[i], # color=colors_in[i],
) # )
#
axes[0, 1].plot( # axes[0, 1].plot(
f_stim, # f_stim,
powerspec_stim, # powerspec_stim,
label=f"{db_value} powerspec Channel0", # label=f"{db_value} powerspec Channel0",
color=colors[i], # color=colors[i],
) # )
axes[0, 1].plot( # axes[0, 1].plot(
f_in, # f_in,
powerspec_in, # powerspec_in,
label=f"{db_value} powerspec Channel2", # label=f"{db_value} powerspec Channel2",
color=colors_in[i], # color=colors_in[i],
) # )
axes[0, 1].set_xlabel("Freq [HZ]") # axes[0, 1].set_xlabel("Freq [HZ]")
axes[0, 1].set_ylabel("dB") # axes[0, 1].set_ylabel("dB")
#
axes[1, 0].plot( # axes[1, 0].plot(
t, # t,
beat, # beat,
label="Beat", # label="Beat",
color=colors[i], # color=colors[i],
) # )
axes[1, 0].plot( # axes[1, 0].plot(
t, # t,
beat**2, # beat**2,
label="Beat squared", # label="Beat squared",
color=colors_in[i], # color=colors_in[i],
) # )
axes[1, 0].legend() # axes[1, 0].legend()
#
axes[1, 1].plot( # axes[1, 1].plot(
f, # f,
powerspec, # powerspec,
color=colors[i], # color=colors[i],
) # )
axes[1, 1].plot( # axes[1, 1].plot(
f_sq, # f_sq,
powerspec_sq, # powerspec_sq,
color=colors_in[i], # color=colors_in[i],
label=f"dB {db_value}, first peak {np.min(f_sq[peaks])}", # label=f"dB {db_value}, first peak {np.min(f_sq[peaks])}",
) # )
axes[1, 1].scatter( # axes[1, 1].scatter(
f_sq[peaks], # f_sq[peaks],
powerspec_sq[peaks], # powerspec_sq[peaks],
color="maroon", # color="maroon",
) # )
axes[1, 1].set_xlabel("Freq [HZ]") # axes[1, 1].set_xlabel("Freq [HZ]")
axes[1, 1].set_ylabel("dB") # axes[1, 1].set_ylabel("dB")
axes[0, 0].legend() # axes[0, 0].legend()
axes[1, 1].legend() # axes[1, 1].legend()
plt.show() # plt.show()
self.set_analog_to_zero() self.set_analog_to_zero()
self.disconnect_dac() self.disconnect_dac()

26
pyrelacs/repros/repros.py
View File

@ -1,15 +1,37 @@
import sys
import importlib.util
import ast import ast
import pathlib import pathlib
from IPython import embed from IPython import embed
import nixio as nix
from pyrelacs.util.logging import config_logging
log = config_logging()
class Repro: class Repro:
def __init__(self) -> None: def __init__(self) -> None:
pass pass
def run_repro(self, name: str, *args, **kwargs) -> None: def run_repro(
pass self, nix_file: nix.File, name: str, file: pathlib.Path, *args, **kwargs
) -> None:
spec = importlib.util.spec_from_file_location("rep", file)
if not spec:
log.error("Could not load the file")
else:
module = importlib.util.module_from_spec(spec)
if not module:
log.error("Could not load the module of the repro")
else:
sys.modules[name] = module
spec.loader.exec_module(module)
if hasattr(module, name):
rep_class = getattr(module, name)
rep_class.run(nix_file)
else:
raise AttributeError(f"{file.name} has no {name} class")
def names_of_repros(self): def names_of_repros(self):
file_path_cur = pathlib.Path(__file__).parent file_path_cur = pathlib.Path(__file__).parent