stop writing seed/draw to simulation results (#436)

* stop writing seed/draw to simulation results

* pin numpy<2.0.0

src/vivarium/framework/results/observer.py

@@ -16,8 +16,6 @@ class Observer(Component, ABC):
     def __init__(self) -> None:
         super().__init__()
         self.results_dir = None
-        self.input_draw = None
-        self.random_seed = None
 
     @abstractmethod
     def register_observations(self, builder: Builder) -> None:
@@ -36,14 +34,6 @@ def get_formatter_attributes(self, builder: Builder) -> None:
             .get("output_data", {})
             .get("results_directory", None)
         )
-        self.input_draw = (
-            builder.configuration.to_dict()
-            .get("input_data", {})
-            .get("input_draw_number", None)
-        )
-        self.random_seed = (
-            builder.configuration.to_dict().get("randomness", {}).get("random_seed", None)
-        )
 
 
 class StratifiedObserver(Observer):

tests/framework/results/helpers.py

@@ -1,5 +1,4 @@
 import itertools
-from functools import partial
 from typing import List
 
 import numpy as np
@@ -122,7 +121,7 @@ def register_observations(self, builder: Builder) -> None:
             requires_columns=[
                 "house_points",
             ],
-            results_formatter=partial(formatter, self.random_seed, self.input_draw),
+            results_formatter=results_formatter,
         )
 
 
@@ -154,7 +153,7 @@ def register_observations(self, builder: Builder) -> None:
             requires_columns=[
                 "quidditch_wins",
             ],
-            results_formatter=partial(formatter, self.random_seed, self.input_draw),
+            results_formatter=results_formatter,
         )
 
 
@@ -170,7 +169,7 @@ def register_observations(self, builder: Builder) -> None:
             requires_columns=[
                 "quidditch_wins",
             ],
-            results_formatter=partial(formatter, self.random_seed, self.input_draw),
+            results_formatter=results_formatter,
         )
 
 
@@ -266,17 +265,13 @@ def setup(self, builder: Builder) -> None:
 ##################
 
 
-def formatter(
-    random_seed: str,
-    input_draw: str,
+def results_formatter(
     measure: str,
     results: pd.DataFrame,
 ) -> pd.DataFrame:
     """An test use case of an observer's report method that writes a DataFrame to a CSV file."""
     # Add extra cols
     results["measure"] = measure
-    results["random_seed"] = random_seed
-    results["input_draw"] = input_draw
     # Sort the columns such that the stratifications (index) are first
     # and VALUE_COLUMN is last and sort the rows by the stratifications.
     other_cols = [c for c in results.columns if c != VALUE_COLUMN]

tests/framework/results/test_observer.py

@@ -29,31 +29,27 @@ def test_observer_instantiation():
 
 
 @pytest.mark.parametrize(
-    "is_interactive, results_dir, draw, seed",
+    "is_interactive, results_dir",
     [
-        (False, "/some/results/dir", 111, 222),
-        (True, None, None, None),
+        (False, "/some/results/dir"),
+        (True, None),
     ],
 )
-def test_get_formatter_attributes(is_interactive, results_dir, draw, seed, mocker):
+def test_get_formatter_attributes(is_interactive, results_dir, mocker):
     builder = mocker.Mock()
     if is_interactive:
         builder.configuration = LayeredConfigTree()
     else:
         builder.configuration = LayeredConfigTree(
             {
                 "output_data": {"results_directory": results_dir},
-                "input_data": {"input_draw_number": draw},
-                "randomness": {"random_seed": seed},
             }
         )
 
     observer = TestObserver()
     observer.get_formatter_attributes(builder)
 
     assert observer.results_dir == results_dir
-    assert observer.input_draw == draw
-    assert observer.random_seed == seed
 
 
 @pytest.mark.parametrize(

tests/framework/test_engine.py

@@ -393,9 +393,6 @@ def test_get_results_formatting(SimulationContext, base_config):
         df = eval(measure)
         # Check that metrics col matches name of dataset
         assert (df["measure"] == measure).all()
-        # Check for other cols
-        assert "random_seed" in df.columns
-        assert "input_draw" in df.columns
         # We do enforce a col order, but most importantly ensure VALUE_COLUMN is at the end
         assert df.columns[-1] == VALUE_COLUMN
         # Check values