diff --git a/.github/ISSUE_TEMPLATE/bug_report.yml b/.github/ISSUE_TEMPLATE/bug_report.yml
index 7cd4096..717393f 100644
--- a/.github/ISSUE_TEMPLATE/bug_report.yml
+++ b/.github/ISSUE_TEMPLATE/bug_report.yml
@@ -4,11 +4,6 @@ title: "[BUG]: "
 labels: ["bug"]
 assignees:
   - amirhessam88
-  - Tsmith5151
-  - richardNam
-  - mkohram
-  - b-mohebali
-  - nicholasjma
 body:
   - type: markdown
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/feature_request.yml b/.github/ISSUE_TEMPLATE/feature_request.yml
index f1715b1..76dbbbb 100644
--- a/.github/ISSUE_TEMPLATE/feature_request.yml
+++ b/.github/ISSUE_TEMPLATE/feature_request.yml
@@ -4,11 +4,6 @@ title: "[FEATURE]: "
 labels: ["enhancement"]
 assignees:
   - amirhessam88
-  - Tsmith5151
-  - richardNam
-  - mkohram
-  - b-mohebali
-  - nicholasjma
 body:
   - type: markdown
     attributes:
diff --git a/.github/ISSUE_TEMPLATE/improve_documentation.yml b/.github/ISSUE_TEMPLATE/improve_documentation.yml
index 820df58..cd2ee7b 100644
--- a/.github/ISSUE_TEMPLATE/improve_documentation.yml
+++ b/.github/ISSUE_TEMPLATE/improve_documentation.yml
@@ -4,11 +4,6 @@ title: "[DOCUMENTATION]: "
 labels: ["documentation"]
 assignees:
   - amirhessam88
-  - Tsmith5151
-  - richardNam
-  - mkohram
-  - b-mohebali
-  - nicholasjma
 body:
   - type: markdown
     attributes:
diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index fca127b..89b11af 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -21,7 +21,7 @@ jobs:
     #----------------------------------------------
     runs-on: ${{ matrix.os }}
     strategy:
-      fail-fast: false
+      fail-fast: true
       matrix:
         # TODO(amir): enable `windows-latest`, `macos-latest` and fix possible `poetry` issues and glmnet
         os: ["ubuntu-latest"]
@@ -58,12 +58,17 @@ jobs:
           # therefore, all the CI jobs for those python versions failed at first, then we re-run the
           # jobs, the cached venv using `python v3.8` will be retrieved and the jobs will run successfully
           # ideally, we should be able to add `python-versions` here to distinguish between caches
-          key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
+          # key: venv-${{ runner.os }}-${{ hashFiles('**/poetry.lock') }}
+          key: venv-${{ runner.os }}-${{ matrix.python-version }}-${{ hashFiles('**/poetry.lock') }}
       #----------------------------------------------
       #  -----  install dependencies  -----
       #----------------------------------------------
       - name: Install Dependencies
-        run: poetry install -vv
+        # NOTE: `glmnet` has not been updated since 2020; trying to build it on-the-fly
+        # https://github.com/civisanalytics/python-glmnet/issues/79
+        run: |
+          poetry run python -m pip install glmnet --no-use-pep517
+          poetry install -vv
         if: steps.cached-poetry-dependencies.outputs.cache-hit != 'true'
       #----------------------------------------------
       #  -----  Integration test suite  -----
diff --git a/tests/conftest.py b/tests/conftest.py
index ba3cd52..c6bacf8 100644
--- a/tests/conftest.py
+++ b/tests/conftest.py
@@ -4,6 +4,7 @@
 from typing import Any, Dict, List, Optional, Tuple, Union
 
 import numpy as np
+import numpy.testing as npt
 import pandas as pd
 import pytest
 from assertpy import assert_that
@@ -403,6 +404,15 @@ def _validate_figure_type_and_size(
     -------
     None
     """
+    # TODO(amir): currently, the `PIL.Image()` is used to load the saved figures and this would end up
+    # different results per operating systems. Therefore, for now defining a `tolerance` range ~ 5%
+    # to get away with the errors. Ideally, we should be able to match the `exact` size
+    _IMAGE_SIZE_ERROR_TOLERANCE_ERROR = 0.05
     with Image.open(path) as img:
         assert_that(img).is_instance_of(expected_type)
-        assert_that(img.size).is_equal_to(expected_size)
+        assert_that(img.size).is_instance_of(tuple)
+        npt.assert_allclose(
+            actual=img.size,
+            desired=expected_size,
+            rtol=_IMAGE_SIZE_ERROR_TOLERANCE_ERROR,
+        )