New install (#129)

* ENH: use pyproject.toml
* udpate license file
* DEV: 0.1 version

LICENSE

@@ -1,4 +1,4 @@
-Copyright 2018 Mikołaj Magnuski
+Copyright 2018-2023, Mikołaj Magnuski
 
 Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:
 

borsar/__init__.py

@@ -1,4 +1,4 @@
-__version__ = '0.1.dev1'
+__version__ = '0.1'
 
 from borsar import (channels, cluster, csd, freq, project, stats, utils, viz)
 

borsar/cluster/tests/test_cluster.py

@@ -860,9 +860,8 @@ def test_cluster_ignore_dims():
 
     # make sure image data is correct
     data = np.array(axs[0].images[0].get_array())
-
-    # FIXME: fix this later, for some reason it not always works
-    # assert (clst.stat[5:7].mean(axis=0) == data).all()
+    assert ((clst.stat[5:7].mean(axis=0) == data).all()
+            or (clst.stat[4:6].mean(axis=0) == data).all())
 
     # (B) we request all channels reduced
     axs = clst.plot(picks=0, dims=['freq', 'time'], chan='100%')

borsar/stats.py

@@ -143,6 +143,8 @@ def _compute_threshold_via_permutations(data, paired, tail, stat_fun,
     Note that the permutations are implemented via shuffling of the condition
     labels, not randomization of independent condition orders.
     '''
+    from .utils import progressbar
+
     if paired:
         # concatenate condition dimension if needed
         if isinstance(data, (list, tuple)):

borsar/tests/test_freq.py

@@ -32,6 +32,7 @@ def test_compute_rest_psd():
     assert (freqs2 == freqs).all()
 
 
+# @pytest.mark.skip(reason="borsar.freq.PSD will be deprecated soon")
 def test_psd_class():
     mne_version = version.parse(mne.__version__)
     # get data

pyproject.toml

@@ -0,0 +1,57 @@
+[project]
+name = "borsar"
+version = "0.1"
+description = "tools for electrophysiological analysis, especially cluster-based tests."
+maintainers = [
+    { name = "Mikołaj Magnuski", email = "[email protected]" },
+]
+
+license = { text = "BSD-3-Clause" }
+readme = { file = "README.md", content-type = "text/markdown" }
+requires-python = ">=3.8"
+keywords = [
+    "neuroscience",
+    "neuroimaging",
+    "MEG",
+    "EEG",
+    "brain",
+]
+
+dependencies = [
+    "numpy >= 1.15.4",
+    "scipy >= 1.7.1",
+    "matplotlib >= 3.5.0",
+    "pandas",
+    "scikit-image",
+    "mne >= 1.0.0",
+    "tqdm",
+    "h5io",
+    "h5py"
+]
+
+classifiers = [
+    "Intended Audience :: Science/Research",
+    "Intended Audience :: Developers",
+    "License :: OSI Approved",
+    "Programming Language :: Python",
+    "Topic :: Software Development",
+    "Topic :: Scientific/Engineering",
+    "Operating System :: Microsoft :: Windows",
+    "Operating System :: POSIX",
+    "Operating System :: Unix",
+    "Operating System :: MacOS",
+    "Programming Language :: Python :: 3",
+]
+
+[build-system]
+requires = ["setuptools>=61.0.0", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project.urls]
+Homepage = "https://github.com/mmagnuski/borsar"
+
+[tool.setuptools.packages.find]
+where = ["borsar"]
+
+[tool.setuptools.package-data]
+borsar = ["data/*.mat", "data/*.fif"]