update apo qmd file and workflow

Author: SvenKlaassen

.github/workflows/apo_sim.yml

@@ -17,7 +17,8 @@ jobs:
     strategy:
       matrix:
         script: [
-          'scripts/irm/irm_apo_coverage.py',
+          'scripts/irm/apo.py',
+          'scripts/irm/apos.py',
         ]
 
     steps:
@@ -47,28 +48,37 @@ jobs:
       with:
         ref: ${{ env.TARGET_BRANCH }}
 
+    - name: Install uv
+      uses: astral-sh/setup-uv@v5
+      with:
+        version: "0.7.8"
+  
     - name: Set up Python
       uses: actions/setup-python@v5
       with:
-        python-version: '3.12'
+        python-version-file: "monte-cover/pyproject.toml"
 
-    - name: Install dependencies
+    - name: Install Monte-Cover
       run: |
-        python -m pip install --upgrade pip
-        pip install -r requirements.txt
+        cd monte-cover
+        uv venv
+        uv sync
 
     - name: Install DoubleML from correct branch
       run: |
-        pip uninstall -y doubleml
-        pip install "doubleml @ git+https://github.com/DoubleML/doubleml-for-py@${{ env.DML_BRANCH }}"
+        source monte-cover/.venv/bin/activate
+        uv pip uninstall doubleml
+        uv pip install "doubleml @ git+https://github.com/DoubleML/doubleml-for-py@${{ env.DML_BRANCH }}"
 
     - name: Set up Git configuration
       run: |
         git config --global user.name 'github-actions'
         git config --global user.email 'github-actions@github.com'
 
     - name: Run scripts
-      run: python ${{ matrix.script }}
+      run: |
+        source monte-cover/.venv/bin/activate
+        uv run ${{ matrix.script }}
 
     - name: Commit any existing changes
       run: |

doc/irm/apo.qmd

@@ -30,7 +30,7 @@ The simulations are based on the  the [make_irm_data_discrete_treatments](https:
 
 ```{python}
 #| echo: false
-metadata_file = '../../results/irm/irm_apo_coverage_metadata.csv'
+metadata_file = '../../results/irm/apo_metadata.csv'
 metadata_df = pd.read_csv(metadata_file)
 print(metadata_df.T.to_string(header=False))
 ```
@@ -41,7 +41,7 @@ print(metadata_df.T.to_string(header=False))
 #| echo: false
 
 # set up data
-df_apo = pd.read_csv("../../results/irm/irm_apo_coverage_apo.csv", index_col=None)
+df_apo = pd.read_csv("../../results/irm/apo_coverage.csv", index_col=None)
 
 assert df_apo["repetition"].nunique() == 1
 n_rep_apo = df_apo["repetition"].unique()[0]
@@ -88,7 +88,7 @@ The non-uniform results (coverage, ci length and bias) refer to averaged values
 
 ```{python}
 #| echo: false
-metadata_file = '../../results/irm/irm_apo_coverage_metadata.csv'
+metadata_file = '../../results/irm/apos_metadata.csv'
 metadata_df = pd.read_csv(metadata_file)
 print(metadata_df.T.to_string(header=False))
 ```
@@ -99,7 +99,7 @@ print(metadata_df.T.to_string(header=False))
 #| echo: false
 
 # set up data
-df_apos = pd.read_csv("../../results/irm/irm_apo_coverage_apos.csv", index_col=None)
+df_apos = pd.read_csv("../../results/irm/apos_coverage.csv", index_col=None)
 
 assert df_apos["repetition"].nunique() == 1
 n_rep_apos = df_apos["repetition"].unique()[0]
@@ -144,7 +144,7 @@ The non-uniform results (coverage, ci length and bias) refer to averaged values
 
 ```{python}
 #| echo: false
-metadata_file = '../../results/irm/irm_apo_coverage_metadata.csv'
+metadata_file = '../../results/irm/apos_metadata.csv'
 metadata_df = pd.read_csv(metadata_file)
 print(metadata_df.T.to_string(header=False))
 ```
@@ -155,7 +155,7 @@ print(metadata_df.T.to_string(header=False))
 #| echo: false
 
 # set up data
-df_contrast = pd.read_csv("../../results/irm/irm_apo_coverage_apos_contrast.csv", index_col=None)
+df_contrast = pd.read_csv("../../results/irm/apos_causal_contrast.csv", index_col=None)
 
 assert df_contrast["repetition"].nunique() == 1
 n_rep_contrast = df_contrast["repetition"].unique()[0]