Repository: mitre/menelaus (language: python)

Issue:
Add workflow that runs the examples
If these are in the form of notebooks --  example using nbconvert: https://github.com/AureumChaos/LEAP/blob/master/tests/jupyter/test_jupyter.py
- Annotate the jupyter/example tests with `@pytest.mark.no_cover` so system tests aren't included in the coverage report.
Add workflow that runs the examples
If these are in the form of notebooks --  example using nbconvert: https://github.com/AureumChaos/LEAP/blob/master/tests/jupyter/test_jupyter.py
- Annotate the jupyter/example tests with `@pytest.mark.no_cover` so system tests aren't included in the coverage report.


Discussion / hints:
This is another one that should probably use `pip install -e .[test]` instead of `[dev]`.
This is another one that should probably use `pip install -e .[test]` instead of `[dev]`.

Fix patch:
diff --git a/.github/workflows/examples.yml b/.github/workflows/examples.yml
new file mode 100644
index 00000000..cf39388e
--- /dev/null
+++ b/.github/workflows/examples.yml
@@ -0,0 +1,34 @@
+# This workflow will set up the environment and run all scripts/notebooks found in /examples. 
+
+name: examples
+
+on:
+  push:
+    branches: [ "main" ] 
+  pull_request:
+    branches: [ "main" ]
+
+permissions:
+  contents: read
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+    - uses: actions/checkout@v3
+    - name: Set up Python 3.10
+      uses: actions/setup-python@v3
+      with:
+        python-version: "3.10"
+    - name: Install dependencies
+      run: |
+        python -m venv ./venv
+        source venv/bin/activate
+        python -m pip install --upgrade pip
+        pip install -e .[test]
+    - name: Test examples
+      run: |
+        source venv/bin/activate
+        ipython kernel install --name "venv" --user
+        cd tests/examples
+        pytest
\ No newline at end of file
diff --git a/.github/workflows/github_ci.yml b/.github/workflows/github_ci.yml
index 5a81f990..9186c037 100644
--- a/.github/workflows/github_ci.yml
+++ b/.github/workflows/github_ci.yml
@@ -36,7 +36,7 @@ jobs:
         flake8 . --count --select=E9,F63,F7,F82 --show-source --statistics
         # exit-zero treats all errors as warnings. The GitHub editor is 127 chars wide
         flake8 . --count --exit-zero --max-complexity=10 --max-line-length=88 --statistics
-    - name: Test with pytest
+    - name: Test menelaus source
       run: |
-        pytest --cov=src/ --cov-report term
+        pytest tests/menelaus --cov=src/ --cov-report term
         coverage report -m
diff --git a/examples/batch/CDBD_Example.ipynb b/examples/batch/CDBD_Example.ipynb
new file mode 100644
index 00000000..a6a8357b
--- /dev/null
+++ b/examples/batch/CDBD_Example.ipynb
@@ -0,0 +1,140 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Confidence Distribution Batch Detection (CDBD) Example\n",
+    "\n",
+    "This file details how to setup, run, and produce plots for CDBD. This script\n",
+    "monitors the feature \"confidence\", simulated confidence scores output by a\n",
+    "classifier. Drift occurs in 2018 and persists through 2021. See\n",
+    "src/menelaus/tools/artifacts/README_example_data.txt for more info.\n",
+    "It additionally contains an example of using a custom divergence function. \n",
+    "\n",
+    "CDBD must be setup and run with batches of data containing 1 variable. \n",
+    "\n",
+    "Plots include: \n",
+    "- A line plot visualizing test statistics for detection of drift"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "from menelaus.data_drift.cdbd import CDBD\n",
+    "\n",
+    "\n",
+    "## Setup ##\n",
+    "\n",
+    "# Import data\n",
+    "data_path = os.path.join(\"..\", \"..\", \"src\", \"menelaus\", \"tools\", \"artifacts\", \"example_data.csv\")\n",
+    "data = pd.read_csv(data_path, index_col=\"id\")\n",
+    "\n",
+    "# Set up reference and test batches, using 2007 as reference year\n",
+    "reference = pd.DataFrame(data[data.year == 2007].loc[:, \"confidence\"])\n",
+    "all_test = data[data.year != 2007]\n",
+    "\n",
+    "# Setup CDBD\n",
+    "np.random.seed(1)\n",
+    "cdbd = CDBD(subsets=8)\n",
+    "\n",
+    "# Store drift for test statistic plot\n",
+    "years = all_test.year.unique()\n",
+    "detected_drift = []\n",
+    "\n",
+    "# Run CDBD\n",
+    "cdbd.set_reference(reference)\n",
+    "for year, subset_data in all_test.groupby(\"year\"):\n",
+    "    cdbd.update(pd.DataFrame(subset_data.loc[:, \"confidence\"]))\n",
+    "    detected_drift.append(cdbd.drift_state)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "## Plot Line Graph ##\n",
+    "\n",
+    "\n",
+    "kl_divergence = [\n",
+    "    ep - th for ep, th in zip(cdbd.epsilon_values.values(), cdbd.thresholds.values())\n",
+    "]\n",
+    "\n",
+    "plot_data = pd.DataFrame(\n",
+    "    {\"Year\": years, \"KL Divergence\": kl_divergence, \"Detected Drift\": detected_drift}\n",
+    ")\n",
+    "sns.set_style(\"white\")\n",
+    "plt.figure(figsize=(20, 6))\n",
+    "plt.plot(\"Year\", \"KL Divergence\", data=plot_data, label=\"KL Divergence\", marker=\".\")\n",
+    "plt.grid(False, axis=\"x\")\n",
+    "plt.xticks(years, fontsize=16)\n",
+    "plt.yticks(fontsize=16)\n",
+    "plt.title(\"CDBD Test Statistics\", fontsize=22)\n",
+    "plt.ylabel(\"KL Divergence\", fontsize=18)\n",
+    "plt.xlabel(\"Year\", fontsize=18)\n",
+    "plt.ylim([min(kl_divergence) - 0.02, max(kl_divergence) + 0.02])\n",
+    "for _, t in enumerate(plot_data.loc[plot_data[\"Detected Drift\"] == \"drift\"][\"Year\"]):\n",
+    "    plt.axvspan(\n",
+    "        t - 0.2, t + 0.2, alpha=0.5, color=\"red\", label=(\"Drift Detected\" if _ == 0 else None)\n",
+    "    )\n",
+    "plt.legend()\n",
+    "plt.axhline(y=0, color=\"orange\", linestyle=\"dashed\")\n",
+    "\n",
+    "# plt.show()\n",
+    "plt.savefig(\"example_CDBD_test_statistics.png\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "\n",
+    "### Custom Divergence Metric ### \n",
+    "\n",
+    "# Define divergence function\n",
+    "def distance_metric(reference_histogram, test_histogram):\n",
+    "\n",
+    "    # Convert inputs to appropriate datatype \n",
+    "    ref = np.array(reference_histogram[0])\n",
+    "    test = np.array(test_histogram[0])\n",
+    "\n",
+    "    return np.sqrt(np.sum(np.square(ref-test)))\n",
+    "\n",
+    "# Test self-defined divergence metric \n",
+    "cdbd = CDBD(\n",
+    "    divergence=distance_metric,\n",
+    "    detect_batch=1,\n",
+    "    statistic=\"stdev\",\n",
+    "    significance=0.05,\n",
+    "    subsets=5,\n",
+    ")\n",
+    "\n",
+    "cdbd.set_reference(reference)\n",
+    "cdbd.update(pd.DataFrame(data[data.year == 2008].loc[:, \"confidence\"]))"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}
diff --git a/examples/batch/cdbd_example.py b/examples/batch/cdbd_example.py
index d1bb62e0..f5e505b0 100644
--- a/examples/batch/cdbd_example.py
+++ b/examples/batch/cdbd_example.py
@@ -26,11 +26,8 @@
 ## Setup ##
 
 # Import data
-# assumes the script is being run from the root directory.
-data = pd.read_csv(
-    os.path.join("src", "menelaus", "tools", "artifacts", "example_data.csv"),
-    index_col="id",
-)
+data_path = os.path.join("..", "..", "src", "menelaus", "tools", "artifacts", "example_data.csv")
+data = pd.read_csv(data_path, index_col="id")
 
 # Set up reference and test batches, using 2007 as reference year
 reference = pd.DataFrame(data[data.year == 2007].loc[:, "confidence"])
diff --git a/examples/batch/hdddm_example.py b/examples/batch/hdddm_example.py
index bfb1f58e..d293fb56 100644
--- a/examples/batch/hdddm_example.py
+++ b/examples/batch/hdddm_example.py
@@ -30,11 +30,8 @@
 ## Setup ##
 
 # Import data
-# assumes the script is being run from the root directory.
-df = pd.read_csv(
-    os.path.join("src", "menelaus", "tools", "artifacts", "example_data.csv"),
-    index_col="id",
-)
+data_path = os.path.join("..", "..", "src", "menelaus", "tools", "artifacts", "example_data.csv")
+df = pd.read_csv(data_path, index_col="id")
 
 # Set up reference and test batches, using 2007 as reference year
 # -2 indexing removes columns "drift" and "confidence"
diff --git a/examples/batch/kdqtree_batch_example.py b/examples/batch/kdqtree_batch_example.py
index 463da7e4..32a7c1f5 100644
--- a/examples/batch/kdqtree_batch_example.py
+++ b/examples/batch/kdqtree_batch_example.py
@@ -28,12 +28,8 @@
 np.random.seed(123)
 
 # Import data
-# assumes the script is being run from the root directory.
-df = pd.read_csv(
-    os.path.join("src", "menelaus", "tools", "artifacts", "example_data.csv"),
-    index_col="id",
-    dtype={"drift": bool},
-)
+data_path = os.path.join("..", "..", "src", "menelaus", "tools", "artifacts", "example_data.csv")
+df = pd.read_csv(data_path, index_col="id", dtype={"drift": bool})
 
 # Capture the column which tells us when drift truly occurred
 drift_years = df.groupby("year")["drift"].apply(lambda x: x.unique()[0]).reset_index()
diff --git a/examples/streaming/change_detection_example.py b/examples/streaming/change_detection_example.py
index 1e6ce4a5..757e3c59 100644
--- a/examples/streaming/change_detection_example.py
+++ b/examples/streaming/change_detection_example.py
@@ -27,14 +27,9 @@
 
 
 # read in Circle dataset
-# assumes the script is being run from the root directory.
-df = pd.read_csv(
-    os.path.join(
-        "src", "menelaus", "tools", "artifacts", "dataCircleGSev3Sp3Train.csv"
-    ),
-    usecols=[0, 1, 2],
-    names=["var1", "var2", "y"],
-)
+data_path = os.path.join("..", "..", "src", "menelaus", "tools", "artifacts", "dataCircleGSev3Sp3Train.csv")
+df = pd.read_csv(data_path, usecols=[0, 1, 2], names=["var1", "var2", "y"])
+
 drift_start, drift_end = 1000, 1250
 
 ################################################################################
diff --git a/examples/streaming/concept_drift_example.py b/examples/streaming/concept_drift_example.py
index 4c0cb17b..6b958117 100644
--- a/examples/streaming/concept_drift_example.py
+++ b/examples/streaming/concept_drift_example.py
@@ -40,14 +40,9 @@
 
 
 # read in Circle dataset
-# assumes the script is being run from the root directory.
-df = pd.read_csv(
-    os.path.join(
-        "src", "menelaus", "tools", "artifacts", "dataCircleGSev3Sp3Train.csv"
-    ),
-    usecols=[0, 1, 2],
-    names=["var1", "var2", "y"],
-)
+data_path = os.path.join("..", "..", "src", "menelaus", "tools", "artifacts", "dataCircleGSev3Sp3Train.csv")
+df = pd.read_csv(data_path, usecols=[0, 1, 2], names=["var1", "var2", "y"])
+
 drift_start, drift_end = 1000, 1250
 training_size = 500
 
@@ -70,7 +65,7 @@
     time_decay_factor=0.6,
     warning_level=0.01,
     detect_level=0.001,
-    num_mc=5000,
+    num_mc=1,               # XXX - need to lower for pipeline testing - Anmol
     burn_in=10,
     subsample=10,
 )
diff --git a/examples/streaming/data_drift_example.py b/examples/streaming/data_drift_example.py
index 468a75bb..3146883b 100644
--- a/examples/streaming/data_drift_example.py
+++ b/examples/streaming/data_drift_example.py
@@ -30,14 +30,8 @@
 
 
 # read in Circle dataset
-# assumes the script is being run from the root directory.
-df = pd.read_csv(
-    os.path.join(
-        "src", "menelaus", "tools", "artifacts", "dataCircleGSev3Sp3Train.csv"
-    ),
-    usecols=[0, 1, 2],
-    names=["var1", "var2", "y"],
-)
+data_path = os.path.join('..', '..', 'src', 'menelaus', 'tools', 'artifacts', 'dataCircleGSev3Sp3Train.csv')
+df = pd.read_csv(data_path, usecols=[0, 1, 2], names=["var1", "var2", "y"])
 
 ################################################################################
 ################################## PCA_CD ######################################
diff --git a/setup.cfg b/setup.cfg
index 3a944b7f..ea54658b 100644
--- a/setup.cfg
+++ b/setup.cfg
@@ -38,6 +38,8 @@ test =
    pytest
    pytest-cov
    coverage
+   nbconvert
+   jupyter
 
 dev =
    matplotlib
@@ -68,7 +70,7 @@ select=E9,F63,F7,F82
 
 [tool:pytest]
 testpaths =
-   tests
+   tests/menelaus
 addopts = 
    --cov=src/
    --cov-report=term
diff --git a/src/menelaus/__init__.py b/src/menelaus/__init__.py
index e69de29b..11d7b9f7 100644
--- a/src/menelaus/__init__.py
+++ b/src/menelaus/__init__.py
@@ -0,0 +1,4 @@
+
+
+# name of environment variable we use to check for test harness mode
+test_env_var = 'MENELAUS_TEST_MODE'
\ No newline at end of file


Test patch:
diff --git a/tests/menelaus_tests/__init__.py b/tests/__init__.py
similarity index 100%
rename from tests/menelaus_tests/__init__.py
rename to tests/__init__.py
diff --git a/tests/examples/__init__.py b/tests/examples/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/examples/test_example_notebooks.py b/tests/examples/test_example_notebooks.py
new file mode 100644
index 00000000..9c84b141
--- /dev/null
+++ b/tests/examples/test_example_notebooks.py
@@ -0,0 +1,69 @@
+"""
+Run .py scripts in examples and ensure they execute without error.
+
+Taken from github.com/AureumChaos/LEAP/
+"""
+import glob
+import os
+import pathlib
+
+from nbconvert import NotebookExporter
+from nbconvert.preprocessors import ExecutePreprocessor
+import nbformat
+import pytest
+from traitlets.config import Config
+
+
+def run_notebook(path, timeout=120):
+    """
+    Execute a Jupyter Notebook and return any errors that it produces.
+    :param path: path to the .ipynb file to execute
+    :param int timeout: number of seconds to let the notebook run before we throw an exception by default.
+    :return: a tuple (nb, errors) containing the parsed Notebook object and a list of errors, respectively
+    """
+    # We'll use a NotebookExporter from the nbconvert package to load the notebook and re-export it to a temporary file.
+    # First we want to configure it to execute the notebook before writing it:
+    c = Config()
+    c.NotebookExporter.preprocessors = ['nbconvert.preprocessors.ExecutePreprocessor']
+    c.ExecutePreprocessor.timeout = timeout
+    c.ExecutePreprocessor.kernel_name = 'venv'  # We assume a kernel named "venv" that lives in our venv
+    exp = NotebookExporter(config=c)
+
+    # Load the notebook
+    with open(path, 'r') as nb_file:
+        body, resources = exp.from_file(nb_file)
+
+    # Parse the notebook string into a notebook object
+    nb = nbformat.reads(body, nbformat.current_nbformat)
+
+    errors = [output for cell in nb.cells if "outputs" in cell
+              for output in cell["outputs"]
+              if output.output_type == "error"]
+
+    return nb, errors
+
+
+def is_hidden_path(path):
+    """Return true if the file or any of its ancesor directories begins with '.'."""
+    head, tail = os.path.split(path)
+    if tail.startswith('.'):
+        return True
+    elif head == '' or tail == '':
+        return False
+    else:
+        return is_hidden_path(head)
+
+
+notebooks = pathlib.Path(__file__, '..', '../..', 'examples').resolve().rglob('*.ipynb')
+notebooks = [ p for p in notebooks if not is_hidden_path(p) ]
+
+
+# We give Jupyter tests a separate marker, because they can only run if the 'venv' kernel is configured propertly by the user
+@pytest.mark.jupyter
+@pytest.mark.parametrize('path', notebooks)
+def test_notebook(path):
+    """Ensure that all of the notebooks in the examples directory run without errors."""
+    nb, errors = run_notebook(path)
+
+    # No errors is success
+    assert errors == []
\ No newline at end of file
diff --git a/tests/examples/test_example_scripts.py b/tests/examples/test_example_scripts.py
new file mode 100644
index 00000000..0b5f6964
--- /dev/null
+++ b/tests/examples/test_example_scripts.py
@@ -0,0 +1,41 @@
+"""
+Run .py scripts in examples and ensure they execute without error.
+"""
+
+import pathlib
+import runpy
+import os
+import sys
+
+import pytest
+
+from menelaus import test_env_var 
+
+scripts = pathlib.Path(__file__, '..', '..', '..', 'examples').resolve().rglob('*.py')
+
+
+##############################
+# Tests for example scripts
+##############################
+@pytest.mark.parametrize('script', scripts)
+@pytest.mark.no_cover  # Don't measure test coverage for this harness
+def test_script_execution(script):
+    print(f"Running {script}")
+    # We have to tweak sys.argv to avoid the pytest arguments from being passed along to our scripts
+    sys_orig = sys.argv
+    sys.argv = [ str(script) ]
+    os.environ[test_env_var] = 'True'
+
+    try:
+        runpy.run_path(str(script), run_name='__main__')
+    except SystemExit as e:
+        # Some scripts may explicitly call `sys.exit()`, in which case we'll check the error code
+        assert(e.code == 0)
+    
+    sys.argv = sys_orig
+
+    # clean output files appearing in current or parent directory
+    output_file_pattern = 'example_*.*'
+    output_files = pathlib.Path(__file__, '..', '..').resolve().rglob(output_file_pattern)
+    for output_file in output_files:
+        os.remove(output_file)
\ No newline at end of file
diff --git a/tests/menelaus_tests/.pylintrc b/tests/menelaus/.pylintrc
similarity index 100%
rename from tests/menelaus_tests/.pylintrc
rename to tests/menelaus/.pylintrc
diff --git a/tests/menelaus/__init__.py b/tests/menelaus/__init__.py
new file mode 100644
index 00000000..e69de29b
diff --git a/tests/menelaus_tests/artifacts/dataCircleGSev3Sp3Train.csv b/tests/menelaus/artifacts/dataCircleGSev3Sp3Train.csv
similarity index 95%
rename from tests/menelaus_tests/artifacts/dataCircleGSev3Sp3Train.csv
rename to tests/menelaus/artifacts/dataCircleGSev3Sp3Train.csv
index f8f86664..6973affe 100644
--- a/tests/menelaus_tests/artifacts/dataCircleGSev3Sp3Train.csv
+++ b/tests/menelaus/artifacts/dataCircleGSev3Sp3Train.csv
@@ -1,2000 +1,2000 @@
-0.350395,0.095046,0.0,
-0.473468,0.583694,1.0,
-0.115968,0.078085,0.0,
-0.447701,0.313451,1.0,
-0.192150,0.471360,0.0,
-0.357969,0.587134,1.0,
-0.360822,0.336477,0.0,
-0.457335,0.621747,1.0,
-0.011081,0.233113,0.0,
-0.614379,0.464292,1.0,
-0.119393,0.634370,0.0,
-0.644955,0.363297,1.0,
-0.601185,0.117607,0.0,
-0.550439,0.634050,1.0,
-0.940407,0.415557,0.0,
-0.408810,0.671201,1.0,
-0.921315,0.542025,0.0,
-0.625154,0.366551,1.0,
-0.320382,0.657881,0.0,
-0.614114,0.417874,1.0,
-0.789684,0.215886,0.0,
-0.461285,0.620958,1.0,
-0.862149,0.143770,0.0,
-0.438024,0.464972,1.0,
-0.710129,0.142832,0.0,
-0.530981,0.402411,1.0,
-0.046425,0.270999,0.0,
-0.571154,0.387757,1.0,
-0.340164,0.139813,0.0,
-0.510077,0.668634,1.0,
-0.062254,0.303957,0.0,
-0.539475,0.350070,1.0,
-0.834589,0.945255,0.0,
-0.662268,0.542648,1.0,
-0.444027,0.757435,0.0,
-0.383908,0.540292,1.0,
-0.659553,0.107523,0.0,
-0.387898,0.399009,1.0,
-0.125379,0.241267,0.0,
-0.601337,0.473065,1.0,
-0.749978,0.884405,0.0,
-0.484690,0.384339,1.0,
-0.704789,0.393082,0.0,
-0.509106,0.342868,1.0,
-0.207079,0.371579,0.0,
-0.509743,0.653311,1.0,
-0.232444,0.681034,0.0,
-0.357081,0.463541,1.0,
-0.581848,0.123304,0.0,
-0.445838,0.594735,1.0,
-0.037413,0.794502,0.0,
-0.377712,0.408427,1.0,
-0.820034,0.318044,0.0,
-0.443386,0.582186,1.0,
-0.752423,0.967694,0.0,
-0.645014,0.558567,1.0,
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diff --git a/tests/menelaus_tests/test_adwin.py b/tests/menelaus/test_adwin.py
similarity index 100%
rename from tests/menelaus_tests/test_adwin.py
rename to tests/menelaus/test_adwin.py
diff --git a/tests/menelaus_tests/test_cdbd.py b/tests/menelaus/test_cdbd.py
similarity index 100%
rename from tests/menelaus_tests/test_cdbd.py
rename to tests/menelaus/test_cdbd.py
diff --git a/tests/menelaus_tests/test_cusum.py b/tests/menelaus/test_cusum.py
similarity index 100%
rename from tests/menelaus_tests/test_cusum.py
rename to tests/menelaus/test_cusum.py
diff --git a/tests/menelaus_tests/test_ddm.py b/tests/menelaus/test_ddm.py
similarity index 100%
rename from tests/menelaus_tests/test_ddm.py
rename to tests/menelaus/test_ddm.py
diff --git a/tests/menelaus_tests/test_drift_detector.py b/tests/menelaus/test_drift_detector.py
similarity index 100%
rename from tests/menelaus_tests/test_drift_detector.py
rename to tests/menelaus/test_drift_detector.py
diff --git a/tests/menelaus_tests/test_eddm.py b/tests/menelaus/test_eddm.py
similarity index 100%
rename from tests/menelaus_tests/test_eddm.py
rename to tests/menelaus/test_eddm.py
diff --git a/tests/menelaus_tests/test_hdddm.py b/tests/menelaus/test_hdddm.py
similarity index 100%
rename from tests/menelaus_tests/test_hdddm.py
rename to tests/menelaus/test_hdddm.py
diff --git a/tests/menelaus_tests/test_histogram_density_method.py b/tests/menelaus/test_histogram_density_method.py
similarity index 100%
rename from tests/menelaus_tests/test_histogram_density_method.py
rename to tests/menelaus/test_histogram_density_method.py
diff --git a/tests/menelaus_tests/test_kdq_tree.py b/tests/menelaus/test_kdq_tree.py
similarity index 100%
rename from tests/menelaus_tests/test_kdq_tree.py
rename to tests/menelaus/test_kdq_tree.py
diff --git a/tests/menelaus_tests/test_kdqtree_partitioner.py b/tests/menelaus/test_kdqtree_partitioner.py
similarity index 100%
rename from tests/menelaus_tests/test_kdqtree_partitioner.py
rename to tests/menelaus/test_kdqtree_partitioner.py
diff --git a/tests/menelaus_tests/test_lfr.py b/tests/menelaus/test_lfr.py
similarity index 100%
rename from tests/menelaus_tests/test_lfr.py
rename to tests/menelaus/test_lfr.py
diff --git a/tests/menelaus_tests/test_page_hinkley.py b/tests/menelaus/test_page_hinkley.py
similarity index 100%
rename from tests/menelaus_tests/test_page_hinkley.py
rename to tests/menelaus/test_page_hinkley.py
diff --git a/tests/menelaus_tests/test_pca_cd.py b/tests/menelaus/test_pca_cd.py
similarity index 100%
rename from tests/menelaus_tests/test_pca_cd.py
rename to tests/menelaus/test_pca_cd.py
diff --git a/tests/menelaus_tests/test_stepd.py b/tests/menelaus/test_stepd.py
similarity index 100%
rename from tests/menelaus_tests/test_stepd.py
rename to tests/menelaus/test_stepd.py