Fix CI error (#145)

* Update README.md

* Update requirements to resolve dependency resolution issue

* Update requirements to resolve dependency resolution issue

* Remove support for Python 3.7, 3.8, add 3.10, 3.11

* Remove support for Python 3.7, 3.8, add 3.10, 3.11

* Remove support for Python 3.7, 3.8, add 3.10, 3.11

* Update typing_extensions version

* Update pytest version to fix type error

* Fix Jupyter Lab dependency errors

* Update pylint version to fix error

* Update Plotly version to fix error

* Fix state variables default error

.github/workflows/python.yml

@@ -15,7 +15,7 @@ jobs:
     runs-on: ubuntu-latest
     strategy:
       matrix:
-        python-version: [3.7, 3.8, 3.9]
+        python-version: ["3.9", "3.10", "3.11"]
 
     steps:
     - uses: actions/checkout@v4

model/state_variables.py

@@ -26,6 +26,7 @@
     Percentage,
     Stage,
 )
+from model.utils import default
 from data.historical_values import eth_price_mean, eth_price_min, eth_price_max
 
 
@@ -137,46 +138,46 @@ class StateVariables:
     """The total realized MEV to validators post Proof-of-Stake"""
 
     # System metric state variables
-    validator_eth_staked: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=int
+    validator_eth_staked: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=int)
     )
     """The ETH staked per validator environment"""
-    validator_revenue: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=int
+    validator_revenue: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=int)
     )
     """The total revenue (income received) for performing PoS duties per validator environment"""
-    validator_profit: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=int
+    validator_profit: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=int)
     )
     """The total profit (income received - costs) per validator environment"""
-    validator_revenue_yields: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=int
+    validator_revenue_yields: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=int)
     )
     """The total annualized revenue (income received) yields (percentage of investment amount)
     per validator environment"""
-    validator_profit_yields: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=int
+    validator_profit_yields: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=int)
     )
     """The total annualized profit (income received - costs) yields (percentage of investment amount)
     per validator environment"""
-    validator_count_distribution: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=int
+    validator_count_distribution: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=int)
     )
     """The total number of validators per validator environment"""
-    validator_hardware_costs: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=USD
+    validator_hardware_costs: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=USD)
     )
     """The total validator hardware operation costs per validator environment"""
-    validator_cloud_costs: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=USD
+    validator_cloud_costs: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=USD)
     )
     """The total validator cloud operation costs per validator environment"""
-    validator_third_party_costs: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=USD
+    validator_third_party_costs: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=USD)
     )
     """The total validator third-party fee costs validator environment"""
-    validator_costs: np.ndarray = np.zeros(
-        (number_of_validator_environments, 1), dtype=USD
+    validator_costs: np.ndarray = default(
+        np.zeros((number_of_validator_environments, 1), dtype=USD)
     )
     """The total validator costs validator environment"""
 

requirements.txt

@@ -1,19 +1,19 @@
 radcad==0.8.4
-pytest==6.2.2
-ipykernel==5.5.3
-matplotlib==3.3.4
+pytest==8.3.2
+ipykernel==6.29.5
+matplotlib==3.5.0
 plotly==4.14.3
 stochastic==0.6.0
-typing_extensions==3.7.4.3
+typing_extensions==4.12.2
 black==20.8b1
 ipython-autotime==0.3.1
 jupyter-dash==0.4.0
-jupyter-client==6.1.12
-jupyterlab==3.0.17
-ipywidgets==7.6.3
-notebook==6.4.12
+# jupyter-client
+jupyterlab<4
+ipywidgets==8.1.3
+notebook<7
 pdoc3==0.9.2
-jupyter-book==0.13.2
+jupyter-book==1.0.2
 psutil==5.8.0
 kaleido==0.2.1
 jinja2==3.0.3
@@ -23,8 +23,8 @@ gunicorn==20.1.0
 cadCAD_tools==0.0.1.4
 tqdm==4.61.0
 diskcache==5.2.1
-pylint==2.8.3
+pylint==3.2.6
 python-dotenv==0.19.0
-jupyterlab-spellchecker==0.6.0
+jupyterlab-spellchecker<0.8
 Werkzeug==2.0.3
 click==8.0.4