Maint: Bump versions (#156)

* MAINT, TST: Bump versions, ignore mne dep warning in tests

- Brings our min versions in line with MNE
- Sets min version of mne_bids to latet ( 0.14), necessary because they just had to change their API to be in line with a change in MNE.

* DOC: fix typo

docs/source/index.rst

@@ -6,7 +6,7 @@ PyLossless :octicon:`pulse`
 
 .. rst-class:: lead
 
-    EEG Processing Pipeline that is non-destructive, automated, and built on Python.
+    Automated EEG Processing Pipeline that annotates continuous EEG data.
 
 .. container:: buttons
 
@@ -21,7 +21,7 @@ PyLossless :octicon:`pulse`
 
     .. grid-item-card:: :octicon:`zap` Automated
 
-        Fast, Open-source, and built on python.
+        Fast, open-source, and built on python.
 
     .. grid-item-card:: :octicon:`pin` Non-destructive
 
@@ -30,7 +30,7 @@ PyLossless :octicon:`pulse`
 
     .. grid-item-card:: :octicon:`telescope-fill` Streamlined Review
 
-         Web dashboard built with helps you review the output and make
+         Web dashboard helps you review the output and make
          informed decisions about your data.
 
 .. image:: https://raw.githubusercontent.com/scott-huberty/wip_pipeline-figures/main/dashboard.png

pylossless/conftest.py

@@ -13,9 +13,6 @@
 
 import pytest
 
-# TODO: Remove this once mne 1.7 is released
-pytest.mark.filterwarnings("ignore:The current default of copy")
-
 
 @pytest.fixture(scope="session")
 def pipeline_fixture():

pylossless/dash/tests/test_topo_viz.py

@@ -22,7 +22,7 @@ def get_raw_ica():
     # pick only EEG channels, muscle artifact is basically not picked up by MEG
     # if you have a simultaneous recording, you may want to do ICA on MEG and
     # EEG separately
-    raw.pick_types(eeg=True)
+    raw.pick("eeg")
 
     # ICA works best with a highpass filter applied
     raw.load_data()

pyproject.toml

@@ -25,4 +25,6 @@ filterwarnings = ["error",
 # error on warning except the non-int sample freq warning, which we want to be raised
 'ignore:The Raw sampling frequency is',
  # deprecation in dash-testing that needs to be reported
-"ignore::DeprecationWarning",]
+"ignore::DeprecationWarning",
+# TODO MNE deprecation that wont effect us. remove if we ever bump to mne 1.7
+"ignore:The current default of copy=False will change to copy=True in 1.7.",]

requirements.txt

@@ -1,10 +1,10 @@
-numpy>=1.16.2
+numpy>=1.21.2
 EDFlib-Python
-mne>=1.3
-mne_bids
+mne>=1.5
+mne_bids>=0.14
 pandas
 xarray
-scipy>=1.2.1
+scipy>=1.7.1
 mne_icalabel>=0.5.0
 pyyaml
 scikit-learn