diff --git a/.github/workflows/actions-test.yml b/.github/workflows/actions-test.yml
index 3fd99d83..09e91cdd 100644
--- a/.github/workflows/actions-test.yml
+++ b/.github/workflows/actions-test.yml
@@ -2,6 +2,7 @@ name: Python Package using Conda
 
 on: [push]
 
+
 jobs:
   build-linux:
     runs-on: ubuntu-latest
@@ -23,7 +24,7 @@ jobs:
         echo $GITHUB_PATH
 
     - name: pip cache
-      uses: actions/cache@v2
+      uses: actions/cache@v4
       id: cache
       with:
         path: /usr/share/miniconda/lib/python3.8/site-packages/*
@@ -47,11 +48,12 @@ jobs:
 
     - name: Install BBN dependencies
       run: |
+        sudo apt-get install pandoc
         export GIT_LFS_SKIP_SMUDGE=1
         pip install git+https://github.com/BBN-Q/bbndb.git
         pip install git+https://github.com/BBN-Q/QGL.git@develop
         pip install git+https://github.com/spatialaudio/nbsphinx.git@master
-        pip install pyvisa coveralls scikit-learn pyusb future python-usbtmc setproctitle progress serial
+        pip install pyvisa coveralls scikit-learn pyusb future python-usbtmc setproctitle progress serial pandoc
         export GIT_LFS_SKIP_SMUDGE=0
 
     - name: Test with unittest
diff --git a/src/auspex/data_format.py b/src/auspex/data_format.py
index 5b750fcc..c632a3b9 100644
--- a/src/auspex/data_format.py
+++ b/src/auspex/data_format.py
@@ -79,7 +79,7 @@ def new_dataset(self, groupname, datasetname, descriptor):
             descriptor:         `DataStreamDescriptor` that describes the dataset that is to be added.
         """
         self._create_meta(groupname, datasetname, descriptor)
-        mmap = self._create_memmap(groupname, datasetname, (np.product(descriptor.dims()),), descriptor.dtype)
+        mmap = self._create_memmap(groupname, datasetname, (np.prod(descriptor.dims()),), descriptor.dtype)
         self.groups[groupname][datasetname] = mmap
         return mmap
 
@@ -158,7 +158,7 @@ def open_dataset(self, groupname, datasetname):
 
         filename = os.path.join(self.base_path,groupname,datasetname+'.dat')
         assert os.path.exists(filename), "Could not find dataset. Is this the correct name?"
-        flat_shape = (np.product(meta['shape']),)
+        flat_shape = (np.prod(meta['shape']),)
         mm = np.memmap(filename, dtype=meta['dtype'], mode='r', shape=flat_shape)
         data = np.array(mm).reshape(tuple(meta['shape']))
         del mm
diff --git a/src/auspex/qubit/pipeline.py b/src/auspex/qubit/pipeline.py
index 84b19fc3..3754e765 100644
--- a/src/auspex/qubit/pipeline.py
+++ b/src/auspex/qubit/pipeline.py
@@ -17,6 +17,7 @@
 from functools import reduce
 from IPython.display import HTML, display
 from sqlalchemy import inspect
+from sqlalchemy.orm import aliased
 
 import auspex.config as config
 import auspex.instruments
@@ -79,7 +80,11 @@ def __init__(self, force_new=False):
     def add_qubit_pipeline(self, qubit_label, stream_type, auto_create=True, buffers=False):
         # if qubit_label not in self.stream_selectors:
         m = bbndb.qgl.Measurement
-        mqs = [l[0] for l in self.session.query(m.label).join(m.channel_db, aliased=True).filter_by(label="working").all()]
+        #n1 = aliased(m.label)
+
+        #mqs = [l[0] for l in self.session.query(m.label).join(m.channel_db.of_type(n1)).filter_by(n1.name == "working").all()]
+        mqs = [l[0] for l in self.session.query(m.label).join(m.channel_db).filter_by(label="working").all()]
+        #mqs = [l[0] for l in self.session.query(m.label).join(m.channel_db, aliased=True).filter_by(label="working").all()]
         if f'M-{qubit_label}' not in mqs:
             raise Exception(f"Could not find qubit {qubit_label} in pipeline...")
 
diff --git a/src/auspex/qubit/qubit_exp.py b/src/auspex/qubit/qubit_exp.py
index 4a3622b2..c7ba2d25 100644
--- a/src/auspex/qubit/qubit_exp.py
+++ b/src/auspex/qubit/qubit_exp.py
@@ -534,6 +534,12 @@ def add_qubit_sweep(self, qubit, measure_or_control, attribute, values):
             exp = QubitExpFactory.create(PulsedSpec(q1))
             self.add_qubit_sweep(q1, "measure", "frequency", np.linspace(6e9, 6.5e9, 500))
             self.run_sweeps()
+
+        Parameters:
+            qubit the qubit to sweep
+            measure_or_control measure or control channel
+            attribute the attribute to sweep
+            values the values to sweep through
         """
         param = FloatParameter() # Create the parameter
         param.name = f"{qubit.label} {measure_or_control} {attribute}"