Changes to support sharrow on 2-zone model

.github/workflows/core_tests.yml

@@ -47,19 +47,6 @@ jobs:
       - name: Update environment
         run: |
           mamba env update -n asim-test -f conda-environments/github-actions-tests.yml
-          mamba install --yes \
-          	"psutil=5.9.5" \
-          	"pydantic=2.6.1" \
-          	"pypyr=5.8.0" \
-          	"pytables=3.6.1" \
-          	"pytest-cov" \
-          	"pytest-regressions=2.5.0" \
-          	"scikit-learn=1.2.2" \
-          	"sharrow>=2.6.0" \
-          	"simwrapper=1.8.5" \
-          	"xarray=2023.2.0" \
-          	"zarr=2.14.2" \
-          	"zstandard=0.21.0"
         if: steps.cache.outputs.cache-hit != 'true'
 
       - name: Install activitysim
@@ -147,19 +134,6 @@ jobs:
       - name: Update environment
         run: |
           mamba env update -n asim-test -f conda-environments/github-actions-tests.yml
-          mamba install --yes \
-          	"psutil=5.9.5" \
-          	"pydantic=2.6.1" \
-          	"pypyr=5.8.0" \
-          	"pytables=3.6.1" \
-          	"pytest-cov" \
-          	"pytest-regressions=2.5.0" \
-          	"scikit-learn=1.2.2" \
-          	"sharrow>=2.6.0" \
-          	"simwrapper=1.8.5" \
-          	"xarray=2023.2.0" \
-          	"zarr=2.14.2" \
-          	"zstandard=0.21.0"
         if: steps.cache.outputs.cache-hit != 'true'
 
       - name: Install activitysim
@@ -244,19 +218,6 @@ jobs:
       - name: Update environment
         run: |
           mamba env update -n asim-test -f conda-environments/github-actions-tests.yml
-          mamba install --yes \
-          	"psutil=5.9.5" \
-          	"pydantic=2.6.1" \
-          	"pypyr=5.8.0" \
-          	"pytables=3.6.1" \
-          	"pytest-cov" \
-          	"pytest-regressions=2.5.0" \
-          	"scikit-learn=1.2.2" \
-          	"sharrow>=2.6.0" \
-          	"simwrapper=1.8.5" \
-          	"xarray=2023.2.0" \
-          	"zarr=2.14.2" \
-          	"zstandard=0.21.0"
         if: steps.cache.outputs.cache-hit != 'true'
 
       - name: Install activitysim
@@ -341,19 +302,6 @@ jobs:
       - name: Update environment
         run: |
           mamba env update -n asim-test -f conda-environments/github-actions-tests.yml
-          mamba install --yes \
-          	"psutil=5.9.5" \
-          	"pydantic=2.6.1" \
-          	"pypyr=5.8.0" \
-          	"pytables=3.6.1" \
-          	"pytest-cov" \
-          	"pytest-regressions=2.5.0" \
-          	"scikit-learn=1.2.2" \
-          	"sharrow>=2.6.0" \
-          	"simwrapper=1.8.5" \
-          	"xarray=2023.2.0" \
-          	"zarr=2.14.2" \
-          	"zstandard=0.21.0"
         if: steps.cache.outputs.cache-hit != 'true'
 
       - name: Install activitysim
@@ -408,19 +356,6 @@ jobs:
       - name: Update environment
         run: |
           mamba env update -n asim-test -f conda-environments/github-actions-tests.yml
-          mamba install --yes \
-          	"psutil=5.9.5" \
-          	"pydantic=2.6.1" \
-          	"pypyr=5.8.0" \
-          	"pytables=3.6.1" \
-          	"pytest-cov" \
-          	"pytest-regressions=2.5.0" \
-          	"scikit-learn=1.2.2" \
-          	"sharrow>=2.6.0" \
-          	"simwrapper=1.8.5" \
-          	"xarray=2023.2.0" \
-          	"zarr=2.14.2" \
-          	"zstandard=0.21.0"
         if: steps.cache.outputs.cache-hit != 'true'
 
       - name: Install activitysim
@@ -474,19 +409,6 @@ jobs:
       - name: Update environment
         run: |
           mamba env update -n asim-test -f conda-environments/github-actions-tests.yml
-          mamba install --yes \
-          	"psutil=5.9.5" \
-          	"pydantic=2.6.1" \
-          	"pypyr=5.8.0" \
-          	"pytables=3.6.1" \
-          	"pytest-cov" \
-          	"pytest-regressions=2.5.0" \
-          	"scikit-learn=1.2.2" \
-          	"sharrow>=2.6.0" \
-          	"simwrapper=1.8.5" \
-          	"xarray=2023.2.0" \
-          	"zarr=2.14.2" \
-          	"zstandard=0.21.0"
         if: steps.cache.outputs.cache-hit != 'true'
 
       - name: Install Larch

activitysim/abm/models/accessibility.py

@@ -23,10 +23,25 @@ class AccessibilitySettings(PydanticReadable):
     CONSTANTS: dict[str, Any] = {}
 
     land_use_columns: list[str] = []
-    """Only include the these columns in the computational tables
+    """Only include the these columns in the computational tables.
+
+    This setting joins land use columns to the accessibility destinations.
+
+    Memory usage is reduced by only listing the minimum columns needed by
+    the SPEC, and nothing extra.
+    """
+
+    land_use_columns_orig: list[str] = []
+    """Join these land use columns to the origin zones.
+
+    This setting joins land use columns to the accessibility origins.
+    To disambiguate from the destination land use columns, the names of the
+    columns added will be prepended with 'landuse_orig_'.
 
     Memory usage is reduced by only listing the minimum columns needed by
     the SPEC, and nothing extra.
+
+    .. versionadded:: 1.3
     """
 
     SPEC: str = "accessibility.csv"
@@ -55,6 +70,7 @@ def compute_accessibilities_for_zones(
     state: workflow.State,
     accessibility_df: pd.DataFrame,
     land_use_df: pd.DataFrame,
+    orig_land_use_df: pd.DataFrame | None,
     assignment_spec: dict,
     constants: dict,
     network_los: los.Network_LOS,
@@ -69,6 +85,7 @@ def compute_accessibilities_for_zones(
     state : workflow.State
     accessibility_df : pd.DataFrame
     land_use_df : pd.DataFrame
+    orig_land_use_df : pd.DataFrame | None
     assignment_spec : dict
     constants : dict
     network_los : los.Network_LOS
@@ -101,6 +118,12 @@ def compute_accessibilities_for_zones(
     logger.debug(f"{trace_label}: tiling land_use_columns into od_data")
     for c in land_use_df.columns:
         od_data[c] = np.tile(land_use_df[c].to_numpy(), orig_zone_count)
+    if orig_land_use_df is not None:
+        logger.debug(f"{trace_label}: repeating orig_land_use_columns into od_data")
+        for c in orig_land_use_df:
+            od_data[f"landuse_orig_{c}"] = np.repeat(
+                orig_land_use_df[c], dest_zone_count
+            )
     logger.debug(f"{trace_label}: converting od_data to DataFrame")
     od_df = pd.DataFrame(od_data)
     logger.debug(f"{trace_label}: dropping od_data")
@@ -233,6 +256,11 @@ def compute_accessibility(
     land_use_df = land_use
     land_use_df = land_use_df[land_use_columns]
 
+    if model_settings.land_use_columns_orig:
+        orig_land_use_df = land_use[model_settings.land_use_columns_orig]
+    else:
+        orig_land_use_df = None
+
     logger.info(
         f"Running {trace_label} with {len(accessibility_df.index)} orig zones "
         f"{len(land_use_df)} dest zones"
@@ -249,10 +277,15 @@ def compute_accessibility(
     ) in chunk.adaptive_chunked_choosers(
         state, accessibility_df, trace_label, explicit_chunk_size=explicit_chunk_size
     ):
+        if orig_land_use_df is not None:
+            orig_land_use_df_chunk = orig_land_use_df.loc[chooser_chunk.index]
+        else:
+            orig_land_use_df_chunk = None
         accessibilities = compute_accessibilities_for_zones(
             state,
             chooser_chunk,
             land_use_df,
+            orig_land_use_df_chunk,
             assignment_spec,
             constants,
             network_los,

activitysim/abm/test/test_agg_accessibility.py

@@ -61,3 +61,48 @@ def test_agg_accessibility_explicit_chunking(state, dataframe_regression):
     )
     df = state.get_dataframe("accessibility")
     dataframe_regression.check(df, basename="simple_agg_accessibility")
+
+
+@pytest.mark.parametrize("explicit_chunk", [0, 5])
+def test_agg_accessibility_orig_land_use(
+    state, dataframe_regression, tmp_path, explicit_chunk
+):
+    # set top level settings
+    state.settings.chunk_size = 0
+    state.settings.sharrow = False
+    state.settings.chunk_training_mode = "explicit"
+
+    # read the accessibility settings and override the explicit chunk size to 5
+    model_settings = AccessibilitySettings.read_settings_file(
+        state.filesystem, "accessibility.yaml"
+    )
+    model_settings.explicit_chunk = explicit_chunk
+    model_settings.land_use_columns = ["RETEMPN", "TOTEMP", "TOTACRE"]
+    model_settings.land_use_columns_orig = ["TOTACRE"]
+
+    land_use = state.get_dataframe("land_use")
+    accessibility = state.get_dataframe("accessibility")
+
+    tmp_spec = tmp_path / "tmp-accessibility.csv"
+    tmp_spec.open("w").write(
+        """Description,Target,Expression
+orig_acreage,orig_acreage,df.landuse_orig_TOTACRE
+dest_acreage,dest_acreage,df.TOTACRE
+"""
+    )
+    model_settings.SPEC = str(tmp_spec)
+
+    # state.filesystem.get_config_file_path(model_settings.SPEC)
+
+    compute_accessibility(
+        state,
+        land_use,
+        accessibility,
+        state.get("network_los"),
+        model_settings,
+        model_settings_file_name="accessibility.yaml",
+        trace_label="compute_accessibility",
+        output_table_name="accessibility",
+    )
+    df = state.get_dataframe("accessibility")
+    dataframe_regression.check(df, basename="simple_agg_accessibility_orig_land_use")

activitysim/abm/test/test_agg_accessibility/simple_agg_accessibility_orig_land_use.csv

@@ -0,0 +1,26 @@
+zone_id,orig_acreage,dest_acreage
+0,6.2314652154886145,7.3737508868303339
+1,6.657368991274053,7.3737508868303339
+2,5.909440711629391,7.3737508868303339
+3,6.1810513148933497,7.3737508868303339
+4,7.1842500057933423,7.3737508868303339
+5,6.5875500148247959,7.3737508868303339
+6,7.026426808699636,7.3737508868303339
+7,7.1514854639047352,7.3737508868303339
+8,7.9377317752601089,7.3737508868303339
+9,7.5167053007413269,7.3737508868303339
+10,7.6138186848086287,7.3737508868303339
+11,7.1955623436220684,7.3737508868303339
+12,6.4975288537722626,7.3737508868303339
+13,6.6411821697405919,7.3737508868303339
+14,6.5701824369168911,7.3737508868303339
+15,8.034631032923107,7.3737508868303339
+16,8.2449906898128429,7.3737508868303339
+17,7.8948771916168834,7.3737508868303339
+18,8.0507033814702993,7.3737508868303339
+19,7.8073066868519945,7.3737508868303339
+20,7.5875638951029023,7.3737508868303339
+21,7.6932537206062692,7.3737508868303339
+22,7.7279755421055585,7.3737508868303339
+23,6.8834625864130921,7.3737508868303339
+24,6.2653012127377101,7.3737508868303339

activitysim/core/configuration/top.py

@@ -585,6 +585,18 @@ class Settings(PydanticBase, extra="allow", validate_assignment=True):
         compatible with using :py:attr:`Settings.sharrow`.
     """
 
+    omx_ignore_patterns: list[str] = []
+    """
+    List of regex patterns to ignore when reading OMX files.
+
+    This is useful if you have tables in your OMX file that you don't want to
+    read in.  For example, if you have both time-of-day values and time-independent
+    values (e.g., "BIKE_TIME" and "BIKE_TIME__AM"), you can ignore the time-of-day
+    values by setting this to ["BIKE_TIME__.+"].
+
+    .. versionadded:: 1.3
+    """
+
     keep_mem_logs: bool = False
 
     pipeline_complib: str = "NOTSET"