Access to global constants and removing chooser col filtering#1017

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Access to global constants and removing chooser col filtering #1017

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0a5eeb6
access to global constants and removing chooser col filtering
dhensle Nov 12, 2025
91a63d3
Removing deprecated settings as property
dhensle Nov 13, 2025
10973e1
blacken
dhensle Nov 13, 2025
f05a414
Merge branch 'main' into globals_and_chooser_cols
dhensle Nov 13, 2025
d0c83b5
Merge branch 'main' into globals_and_chooser_cols
jpn-- Dec 2, 2025
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22 changes: 5 additions & 17 deletions activitysim/abm/models/location_choice.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
"reindex": reindex,
"land_use": state.get_dataframe("land_use"),
}
locals_d.update(state.get_global_constants())
locals_d.update(model_settings.CONSTANTS or {})

# preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
chunk_tag,
trace_label,
):
# FIXME - MEMORY HACK - only include columns actually used in spec
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
choosers = persons_merged[chooser_columns]
choosers = persons_merged

# create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
# and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
HOME_TAZ in persons_merged
) # 'TAZ' should already be in persons_merged from land_use

# FIXME - MEMORY HACK - only include columns actually used in spec
# FIXME we don't actually require that land_use provide a TAZ crosswalk
# FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
choosers = persons_merged[chooser_columns]
choosers = persons_merged

# create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
# and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
mandatory=False,
)

# FIXME - MEMORY HACK - only include columns actually used in spec
persons_merged_df = logsum.filter_chooser_columns(
persons_merged_df, logsum_settings, model_settings
)

logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
"""
assert not persons_merged.empty

# FIXME - MEMORY HACK - only include columns actually used in spec
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
choosers = persons_merged[chooser_columns]
choosers = persons_merged

alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
"reindex": reindex,
"land_use": state.get_dataframe("land_use"),
}
locals_d.update(state.get_global_constants())
locals_d.update(model_settings.CONSTANTS or {})

# preprocess choosers table
Expand Down
29 changes: 21 additions & 8 deletions activitysim/abm/models/school_escorting.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
GENDER_WEIGHT: float = 10.0
AGE_WEIGHT: float = 1.0

SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

SPEC: None = None
"""The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
Multinomial logit model.
"""

SIMULATE_CHOOSER_COLUMNS: Any | None = None
"""Was used to help reduce the memory needed for the model.
Setting is now obsolete and doesn't do anything.
Functionality was replaced by util.drop_unused_columns

.. deprecated:: 1.4
"""

@field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
@classmethod
def _warn_simulate_chooser_columns(cls, v):
if v is not None:
warnings.warn(
"SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
DeprecationWarning,
stacklevel=2,
)
return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
# else:
# locals_dict.pop("_sharrow_skip", None)

# reduce memory by limiting columns if selected columns are supplied
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
if chooser_columns is not None:
chooser_columns = chooser_columns + participant_columns
choosers = choosers[chooser_columns]

# add previous data to stage
if stage_num >= 1:
choosers = add_prev_choices_to_choosers(
Expand Down
35 changes: 0 additions & 35 deletions activitysim/abm/models/util/logsums.py
View file
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Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
try:
chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
except AttributeError:
chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

if (
isinstance(model_settings, dict)
and "CHOOSER_ORIG_COL_NAME" in model_settings
and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
):
chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
if (
isinstance(model_settings, PydanticBase)
and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
and model_settings.CHOOSER_ORIG_COL_NAME
and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
):
chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

missing_columns = [c for c in chooser_columns if c not in choosers]
if missing_columns:
logger.debug(
"logsum.filter_chooser_columns missing_columns %s" % missing_columns
)

# ignore any columns not appearing in choosers df
chooser_columns = [c for c in chooser_columns if c in choosers]

choosers = choosers[chooser_columns]
return choosers


def compute_location_choice_logsums(
state: workflow.State,
choosers: pd.DataFrame,
Expand Down
26 changes: 2 additions & 24 deletions activitysim/abm/models/util/tour_destination.py
View file
Open in desktop
Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
"dest_col_name": skims.dest_key, # added for sharrow flows
"timeframe": "timeless",
}
locals_d.update(state.get_global_constants())
constants = model_settings.CONSTANTS
if constants is not None:
locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
chunk_size,
trace_label,
):
# FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

# if special person id is passed
chooser_id_column = model_settings.CHOOSER_ID_COLUMN

persons_merged = persons_merged[
[c for c in persons_merged.columns if c in chooser_columns]
]
tours = tours[
[c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
]
choosers = pd.merge(
tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
)
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

chunk_tag = "tour_destination.logsums"

# FIXME - MEMORY HACK - only include columns actually used in spec
persons_merged = logsum.filter_chooser_columns(
persons_merged, logsum_settings, model_settings
)

# merge persons into tours
choosers = pd.merge(
destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
coefficients_file_name=model_settings.COEFFICIENTS,
)

# FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

# if special person id is passed
chooser_id_column = model_settings.CHOOSER_ID_COLUMN

persons_merged = persons_merged[
[c for c in persons_merged.columns if c in chooser_columns]
]
tours = tours[
[c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
]
choosers = pd.merge(
tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
)
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
"dest_col_name": skims.dest_key, # added for sharrow flows
"timeframe": "timeless",
}
locals_d.update(state.get_global_constants())
if constants is not None:
locals_d.update(constants)

Expand Down
14 changes: 2 additions & 12 deletions activitysim/abm/models/util/tour_od.py
View file
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Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
"orig_col_name": ORIG_TAZ,
"dest_col_name": DEST_TAZ,
}
locals_d.update(state.get_global_constants())
constants = model_settings.CONSTANTS
if constants is not None:
locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
)

choosers = tours
# FIXME - MEMORY HACK - only include columns actually used in spec
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
choosers = choosers[chooser_columns]

# interaction_sample requires that choosers.index.is_monotonic_increasing
if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
dest_id_col = model_settings.DEST_COL_NAME
tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

# FIXME - MEMORY HACK - only include columns actually used in spec
tours_merged_df = logsum.filter_chooser_columns(
tours_merged_df, logsum_settings, model_settings
)

# merge ods into choosers table
choosers = od_sample.join(tours_merged_df, how="left")
choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
# merge persons into tours
choosers = tours

# FIXME - MEMORY HACK - only include columns actually used in spec
chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
choosers = choosers[chooser_columns]

# interaction_sample requires that choosers.index.is_monotonic_increasing
if not choosers.index.is_monotonic_increasing:
logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
"orig_col_name": origin_col_name,
"dest_col_name": dest_col_name,
}
locals_d.update(state.get_global_constants())
if constants is not None:
locals_d.update(constants)

Expand Down
18 changes: 0 additions & 18 deletions activitysim/abm/models/util/tour_scheduling.py
View file
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Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
trace_label: str,
):

if model_settings.LOGSUM_SETTINGS:
logsum_settings = TourModeComponentSettings.read_settings_file(
state.filesystem,
str(model_settings.LOGSUM_SETTINGS),
mandatory=False,
)
logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
else:
logsum_columns = []

# - filter chooser columns for both logsums and simulate
model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
chooser_columns = logsum_columns + [
c for c in model_columns if c not in logsum_columns
]

persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

timetable = state.get_injectable("timetable")

# - run preprocessor to annotate choosers
Expand Down
23 changes: 22 additions & 1 deletion activitysim/abm/models/util/vectorize_tour_scheduling.py
View file
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Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
give the segements.
"""
SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
If less than 1, use this fraction of the total number of rows.
"""

SIMULATE_CHOOSER_COLUMNS: Any | None = None
"""Was used to help reduce the memory needed for the model.
Setting is now obsolete and doesn't do anything.
Functionality was replaced by util.drop_unused_columns

.. deprecated:: 1.4
"""

@field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
@classmethod
def _warn_simulate_chooser_columns(cls, v):
if v is not None:
warnings.warn(
"SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
DeprecationWarning,
stacklevel=2,
)
return None


def skims_for_logsums(
state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

# - make choices
locals_d = {"tt": timetable.attach_state(state)}
locals_d.update(state.get_global_constants())
constants = config.get_model_constants(model_settings)
if constants is not None:
locals_d.update(constants)
Expand Down
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Access to global constants and removing chooser col filtering#1017

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dhensle
wants to merge
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commits into

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Access to global constants and removing chooser col filtering
#1017
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0a5eeb6

access to global constants and removing chooser col filtering


dhensle Nov 12, 2025
91a63d3

Removing deprecated settings as property


dhensle Nov 13, 2025
10973e1

blacken


dhensle Nov 13, 2025
f05a414

Merge branch 'main' into globals_and_chooser_cols


dhensle Nov 13, 2025
d0c83b5

Merge branch 'main' into globals_and_chooser_cols


jpn-- Dec 2, 2025

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22 changes: 5 additions & 17 deletions
activitysim/abm/models/location_choice.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
 chunk_tag,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
 # and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
 HOME_TAZ in persons_merged
 ) # 'TAZ' should already be in persons_merged from land_use

 # FIXME - MEMORY HACK - only include columns actually used in spec
 # FIXME we don't actually require that land_use provide a TAZ crosswalk
 # FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
 # and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
 mandatory=False,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged_df = logsum.filter_chooser_columns(
 persons_merged_df, logsum_settings, model_settings
 )

 logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

 choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
 """
 assert not persons_merged.empty

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand Down

29 changes: 21 additions & 8 deletions
activitysim/abm/models/school_escorting.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 GENDER_WEIGHT: float = 10.0
 AGE_WEIGHT: float = 1.0

 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC: None = None
 """The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 Multinomial logit model.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
 # else:
 # locals_dict.pop("_sharrow_skip", None)

 # reduce memory by limiting columns if selected columns are supplied
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 if chooser_columns is not None:
 chooser_columns = chooser_columns + participant_columns
 choosers = choosers[chooser_columns]

 # add previous data to stage
 if stage_num >= 1:
 choosers = add_prev_choices_to_choosers(
Expand Down

35 changes: 0 additions & 35 deletions
activitysim/abm/models/util/logsums.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
 choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
 try:
 chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 except AttributeError:
 chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

 if (
 isinstance(model_settings, dict)
 and "CHOOSER_ORIG_COL_NAME" in model_settings
 and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
 ):
 chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
 if (
 isinstance(model_settings, PydanticBase)
 and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
 and model_settings.CHOOSER_ORIG_COL_NAME
 and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
 ):
 chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

 missing_columns = [c for c in chooser_columns if c not in choosers]
 if missing_columns:
 logger.debug(
 "logsum.filter_chooser_columns missing_columns %s" % missing_columns
 )

 # ignore any columns not appearing in choosers df
 chooser_columns = [c for c in chooser_columns if c in choosers]

 choosers = choosers[chooser_columns]
 return choosers


def compute_location_choice_logsums(
 state: workflow.State,
 choosers: pd.DataFrame,
Expand Down

26 changes: 2 additions & 24 deletions
activitysim/abm/models/util/tour_destination.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
 chunk_size,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

 chunk_tag = "tour_destination.logsums"

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged = logsum.filter_chooser_columns(
 persons_merged, logsum_settings, model_settings
 )

 # merge persons into tours
 choosers = pd.merge(
 destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
 coefficients_file_name=model_settings.COEFFICIENTS,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

14 changes: 2 additions & 12 deletions
activitysim/abm/models/util/tour_od.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
 "orig_col_name": ORIG_TAZ,
 "dest_col_name": DEST_TAZ,
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
 )

 choosers = tours
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
 dest_id_col = model_settings.DEST_COL_NAME
 tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

 # FIXME - MEMORY HACK - only include columns actually used in spec
 tours_merged_df = logsum.filter_chooser_columns(
 tours_merged_df, logsum_settings, model_settings
 )

 # merge ods into choosers table
 choosers = od_sample.join(tours_merged_df, how="left")
 choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
 # merge persons into tours
 choosers = tours

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
 logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
 "orig_col_name": origin_col_name,
 "dest_col_name": dest_col_name,
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

18 changes: 0 additions & 18 deletions
activitysim/abm/models/util/tour_scheduling.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
 trace_label: str,
):

 if model_settings.LOGSUM_SETTINGS:
 logsum_settings = TourModeComponentSettings.read_settings_file(
 state.filesystem,
 str(model_settings.LOGSUM_SETTINGS),
 mandatory=False,
 )
 logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 else:
 logsum_columns = []

 # - filter chooser columns for both logsums and simulate
 model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = logsum_columns + [
 c for c in model_columns if c not in logsum_columns
 ]

 persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

 timetable = state.get_injectable("timetable")

 # - run preprocessor to annotate choosers
Expand Down

23 changes: 22 additions & 1 deletion
activitysim/abm/models/util/vectorize_tour_scheduling.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
 give the segements.
 """
 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 If less than 1, use this fraction of the total number of rows.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


def skims_for_logsums(
 state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

 # - make choices
 locals_d = {"tt": timetable.attach_state(state)}
 locals_d.update(state.get_global_constants())
 constants = config.get_model_constants(model_settings)
 if constants is not None:
 locals_d.update(constants)
Expand Down
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Access to global constants and removing chooser col filtering
#1017
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0a5eeb6

access to global constants and removing chooser col filtering


dhensle Nov 12, 2025
91a63d3

Removing deprecated settings as property


dhensle Nov 13, 2025
10973e1

blacken


dhensle Nov 13, 2025
f05a414

Merge branch 'main' into globals_and_chooser_cols


dhensle Nov 13, 2025
d0c83b5

Merge branch 'main' into globals_and_chooser_cols


jpn-- Dec 2, 2025

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22 changes: 5 additions & 17 deletions
activitysim/abm/models/location_choice.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
 chunk_tag,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
 # and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
 HOME_TAZ in persons_merged
 ) # 'TAZ' should already be in persons_merged from land_use

 # FIXME - MEMORY HACK - only include columns actually used in spec
 # FIXME we don't actually require that land_use provide a TAZ crosswalk
 # FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
 # and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
 mandatory=False,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged_df = logsum.filter_chooser_columns(
 persons_merged_df, logsum_settings, model_settings
 )

 logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

 choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
 """
 assert not persons_merged.empty

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand Down

29 changes: 21 additions & 8 deletions
activitysim/abm/models/school_escorting.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 GENDER_WEIGHT: float = 10.0
 AGE_WEIGHT: float = 1.0

 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC: None = None
 """The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 Multinomial logit model.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
 # else:
 # locals_dict.pop("_sharrow_skip", None)

 # reduce memory by limiting columns if selected columns are supplied
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 if chooser_columns is not None:
 chooser_columns = chooser_columns + participant_columns
 choosers = choosers[chooser_columns]

 # add previous data to stage
 if stage_num >= 1:
 choosers = add_prev_choices_to_choosers(
Expand Down

35 changes: 0 additions & 35 deletions
activitysim/abm/models/util/logsums.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
 choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
 try:
 chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 except AttributeError:
 chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

 if (
 isinstance(model_settings, dict)
 and "CHOOSER_ORIG_COL_NAME" in model_settings
 and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
 ):
 chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
 if (
 isinstance(model_settings, PydanticBase)
 and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
 and model_settings.CHOOSER_ORIG_COL_NAME
 and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
 ):
 chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

 missing_columns = [c for c in chooser_columns if c not in choosers]
 if missing_columns:
 logger.debug(
 "logsum.filter_chooser_columns missing_columns %s" % missing_columns
 )

 # ignore any columns not appearing in choosers df
 chooser_columns = [c for c in chooser_columns if c in choosers]

 choosers = choosers[chooser_columns]
 return choosers


def compute_location_choice_logsums(
 state: workflow.State,
 choosers: pd.DataFrame,
Expand Down

26 changes: 2 additions & 24 deletions
activitysim/abm/models/util/tour_destination.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
 chunk_size,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

 chunk_tag = "tour_destination.logsums"

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged = logsum.filter_chooser_columns(
 persons_merged, logsum_settings, model_settings
 )

 # merge persons into tours
 choosers = pd.merge(
 destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
 coefficients_file_name=model_settings.COEFFICIENTS,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

14 changes: 2 additions & 12 deletions
activitysim/abm/models/util/tour_od.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
 "orig_col_name": ORIG_TAZ,
 "dest_col_name": DEST_TAZ,
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
 )

 choosers = tours
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
 dest_id_col = model_settings.DEST_COL_NAME
 tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

 # FIXME - MEMORY HACK - only include columns actually used in spec
 tours_merged_df = logsum.filter_chooser_columns(
 tours_merged_df, logsum_settings, model_settings
 )

 # merge ods into choosers table
 choosers = od_sample.join(tours_merged_df, how="left")
 choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
 # merge persons into tours
 choosers = tours

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
 logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
 "orig_col_name": origin_col_name,
 "dest_col_name": dest_col_name,
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

18 changes: 0 additions & 18 deletions
activitysim/abm/models/util/tour_scheduling.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
 trace_label: str,
):

 if model_settings.LOGSUM_SETTINGS:
 logsum_settings = TourModeComponentSettings.read_settings_file(
 state.filesystem,
 str(model_settings.LOGSUM_SETTINGS),
 mandatory=False,
 )
 logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 else:
 logsum_columns = []

 # - filter chooser columns for both logsums and simulate
 model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = logsum_columns + [
 c for c in model_columns if c not in logsum_columns
 ]

 persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

 timetable = state.get_injectable("timetable")

 # - run preprocessor to annotate choosers
Expand Down

23 changes: 22 additions & 1 deletion
activitysim/abm/models/util/vectorize_tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
 give the segements.
 """
 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 If less than 1, use this fraction of the total number of rows.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


def skims_for_logsums(
 state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

 # - make choices
 locals_d = {"tt": timetable.attach_state(state)}
 locals_d.update(state.get_global_constants())
 constants = config.get_model_constants(model_settings)
 if constants is not None:
 locals_d.update(constants)
Expand Down
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if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Highlight search terms from Google/DuckDuckGo/Bing referrer\n(function() {\n var ref = document.referrer;\n var terms = [];\n \n if (ref.includes('google.com') || ref.includes('duckduckgo.com') || ref.includes('bing.com')) {\n var url = new URL(ref);\n var q = url.searchParams.get('q') || url.searchParams.get('p');\n if (q) {\n terms = q.split(/\\s+/).filter(function(t) { return t.length > 2; });\n }\n }\n \n if (terms.length === 0) return;\n \n var style = document.createElement('style');\n style.textContent = '.userscript-highlight { background: #fbbf24; color: #1a1a2e; padding: 1px 3px; border-radius: 2px; }';\n document.head.appendChild(style);\n \n function highlight(node) {\n if (node.nodeType === 3) { // text node\n var text = node.textContent;\n var found = false;\n terms.forEach(function(term) {\n var regex = new RegExp('(' + term.replace(/[.*+?^${}()|[\\]\\\\]/g, '\\\\') + ')', 'gi');\n if (regex.test(text)) {\n found = true;\n var frag = document.createDocumentFragment();\n var parts = text.split(regex);\n parts.forEach(function(part, i) {\n if (i % 2 === 0) {\n frag.appendChild(document.createTextNode(part));\n } else {\n var span = document.createElement('span');\n span.className = 'userscript-highlight';\n span.textContent = part;\n frag.appendChild(span);\n }\n });\n node.parentNode.replaceChild(frag, node);\n }\n });\n } else if (node.nodeType === 1 && node.childNodes) { // element\n var skipTags = ['SCRIPT', 'STYLE', 'NOSCRIPT', 'TEXTAREA', 'INPUT', 'SELECT'];\n if (!skipTags.includes(node.tagName)) {\n Array.from(node.childNodes).forEach(highlight);\n }\n }\n }\n \n highlight(document.body);\n \n // Re-highlight on dynamic content\n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1 || node.nodeType === 3) highlight(node);\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Highlight Search Terms");
}
} catch(__e) { console.warn('[Userscript:Highlight Search Terms]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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Access to global constants and removing chooser col filtering#1017

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 Closed

dhensle
wants to merge
5
commits into

from

 Closed


Access to global constants and removing chooser col filtering
#1017
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0a5eeb6

access to global constants and removing chooser col filtering


dhensle Nov 12, 2025
91a63d3

Removing deprecated settings as property


dhensle Nov 13, 2025
10973e1

blacken


dhensle Nov 13, 2025
f05a414

Merge branch 'main' into globals_and_chooser_cols


dhensle Nov 13, 2025
d0c83b5

Merge branch 'main' into globals_and_chooser_cols


jpn-- Dec 2, 2025

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22 changes: 5 additions & 17 deletions
activitysim/abm/models/location_choice.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
 chunk_tag,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
 # and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
 HOME_TAZ in persons_merged
 ) # 'TAZ' should already be in persons_merged from land_use

 # FIXME - MEMORY HACK - only include columns actually used in spec
 # FIXME we don't actually require that land_use provide a TAZ crosswalk
 # FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
 # and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
 mandatory=False,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged_df = logsum.filter_chooser_columns(
 persons_merged_df, logsum_settings, model_settings
 )

 logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

 choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
 """
 assert not persons_merged.empty

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand Down

29 changes: 21 additions & 8 deletions
activitysim/abm/models/school_escorting.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 GENDER_WEIGHT: float = 10.0
 AGE_WEIGHT: float = 1.0

 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC: None = None
 """The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 Multinomial logit model.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
 # else:
 # locals_dict.pop("_sharrow_skip", None)

 # reduce memory by limiting columns if selected columns are supplied
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 if chooser_columns is not None:
 chooser_columns = chooser_columns + participant_columns
 choosers = choosers[chooser_columns]

 # add previous data to stage
 if stage_num >= 1:
 choosers = add_prev_choices_to_choosers(
Expand Down

35 changes: 0 additions & 35 deletions
activitysim/abm/models/util/logsums.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
 choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
 try:
 chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 except AttributeError:
 chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

 if (
 isinstance(model_settings, dict)
 and "CHOOSER_ORIG_COL_NAME" in model_settings
 and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
 ):
 chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
 if (
 isinstance(model_settings, PydanticBase)
 and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
 and model_settings.CHOOSER_ORIG_COL_NAME
 and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
 ):
 chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

 missing_columns = [c for c in chooser_columns if c not in choosers]
 if missing_columns:
 logger.debug(
 "logsum.filter_chooser_columns missing_columns %s" % missing_columns
 )

 # ignore any columns not appearing in choosers df
 chooser_columns = [c for c in chooser_columns if c in choosers]

 choosers = choosers[chooser_columns]
 return choosers


def compute_location_choice_logsums(
 state: workflow.State,
 choosers: pd.DataFrame,
Expand Down

26 changes: 2 additions & 24 deletions
activitysim/abm/models/util/tour_destination.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
 chunk_size,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

 chunk_tag = "tour_destination.logsums"

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged = logsum.filter_chooser_columns(
 persons_merged, logsum_settings, model_settings
 )

 # merge persons into tours
 choosers = pd.merge(
 destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
 coefficients_file_name=model_settings.COEFFICIENTS,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

14 changes: 2 additions & 12 deletions
activitysim/abm/models/util/tour_od.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
 "orig_col_name": ORIG_TAZ,
 "dest_col_name": DEST_TAZ,
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
 )

 choosers = tours
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
 dest_id_col = model_settings.DEST_COL_NAME
 tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

 # FIXME - MEMORY HACK - only include columns actually used in spec
 tours_merged_df = logsum.filter_chooser_columns(
 tours_merged_df, logsum_settings, model_settings
 )

 # merge ods into choosers table
 choosers = od_sample.join(tours_merged_df, how="left")
 choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
 # merge persons into tours
 choosers = tours

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
 logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
 "orig_col_name": origin_col_name,
 "dest_col_name": dest_col_name,
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

18 changes: 0 additions & 18 deletions
activitysim/abm/models/util/tour_scheduling.py

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Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
 trace_label: str,
):

 if model_settings.LOGSUM_SETTINGS:
 logsum_settings = TourModeComponentSettings.read_settings_file(
 state.filesystem,
 str(model_settings.LOGSUM_SETTINGS),
 mandatory=False,
 )
 logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 else:
 logsum_columns = []

 # - filter chooser columns for both logsums and simulate
 model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = logsum_columns + [
 c for c in model_columns if c not in logsum_columns
 ]

 persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

 timetable = state.get_injectable("timetable")

 # - run preprocessor to annotate choosers
Expand Down

23 changes: 22 additions & 1 deletion
activitysim/abm/models/util/vectorize_tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
 give the segements.
 """
 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 If less than 1, use this fraction of the total number of rows.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


def skims_for_logsums(
 state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

 # - make choices
 locals_d = {"tt": timetable.attach_state(state)}
 locals_d.update(state.get_global_constants())
 constants = config.get_model_constants(model_settings)
 if constants is not None:
 locals_d.update(constants)
Expand Down
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, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Strip utm_, fbclid, gclid, etc. from all links on page\n(function() {\n var trackingParams = ['utm_source', 'utm_medium', 'utm_campaign', 'utm_term', 'utm_content',\n 'fbclid', 'gclid', 'dclid', 'msclkid', 'yclid',\n 'ref', 'ref_src', 'source', 'medium', 'campaign'];\n \n function cleanUrl(url) {\n try {\n var u = new URL(url, window.location.origin);\n var changed = false;\n trackingParams.forEach(function(p) {\n if (u.searchParams.has(p)) {\n u.searchParams.delete(p);\n changed = true;\n }\n });\n return changed ? u.toString() : url;\n } catch (e) {\n return url;\n }\n }\n \n function cleanLinks() {\n document.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n \n cleanLinks();\n \n var observer = new MutationObserver(function(mutations) {\n mutations.forEach(function(m) {\n m.addedNodes.forEach(function(node) {\n if (node.nodeType === 1) {\n if (node.tagName === 'A') cleanLinks();\n node.querySelectorAll('a[href]').forEach(function(a) {\n var clean = cleanUrl(a.href);\n if (clean !== a.href) a.href = clean;\n });\n }\n });\n });\n });\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "Remove Tracking Parameters from Links");
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} catch(__e) { console.warn('[Userscript:Remove Tracking Parameters from Links]', __e); }
})();
(function(){
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var __m = "youtube.com";
var __re = new RegExp('^' + "youtube\\.com" + '

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Access to global constants and removing chooser col filtering
#1017
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0a5eeb6

access to global constants and removing chooser col filtering


dhensle Nov 12, 2025
91a63d3

Removing deprecated settings as property


dhensle Nov 13, 2025
10973e1

blacken


dhensle Nov 13, 2025
f05a414

Merge branch 'main' into globals_and_chooser_cols


dhensle Nov 13, 2025
d0c83b5

Merge branch 'main' into globals_and_chooser_cols


jpn-- Dec 2, 2025

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22 changes: 5 additions & 17 deletions
activitysim/abm/models/location_choice.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
 chunk_tag,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
 # and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
 HOME_TAZ in persons_merged
 ) # 'TAZ' should already be in persons_merged from land_use

 # FIXME - MEMORY HACK - only include columns actually used in spec
 # FIXME we don't actually require that land_use provide a TAZ crosswalk
 # FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
 # and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
 mandatory=False,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged_df = logsum.filter_chooser_columns(
 persons_merged_df, logsum_settings, model_settings
 )

 logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

 choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
 """
 assert not persons_merged.empty

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand Down

29 changes: 21 additions & 8 deletions
activitysim/abm/models/school_escorting.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 GENDER_WEIGHT: float = 10.0
 AGE_WEIGHT: float = 1.0

 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC: None = None
 """The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 Multinomial logit model.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
 # else:
 # locals_dict.pop("_sharrow_skip", None)

 # reduce memory by limiting columns if selected columns are supplied
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 if chooser_columns is not None:
 chooser_columns = chooser_columns + participant_columns
 choosers = choosers[chooser_columns]

 # add previous data to stage
 if stage_num >= 1:
 choosers = add_prev_choices_to_choosers(
Expand Down

35 changes: 0 additions & 35 deletions
activitysim/abm/models/util/logsums.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
 choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
 try:
 chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 except AttributeError:
 chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

 if (
 isinstance(model_settings, dict)
 and "CHOOSER_ORIG_COL_NAME" in model_settings
 and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
 ):
 chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
 if (
 isinstance(model_settings, PydanticBase)
 and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
 and model_settings.CHOOSER_ORIG_COL_NAME
 and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
 ):
 chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

 missing_columns = [c for c in chooser_columns if c not in choosers]
 if missing_columns:
 logger.debug(
 "logsum.filter_chooser_columns missing_columns %s" % missing_columns
 )

 # ignore any columns not appearing in choosers df
 chooser_columns = [c for c in chooser_columns if c in choosers]

 choosers = choosers[chooser_columns]
 return choosers


def compute_location_choice_logsums(
 state: workflow.State,
 choosers: pd.DataFrame,
Expand Down

26 changes: 2 additions & 24 deletions
activitysim/abm/models/util/tour_destination.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
 chunk_size,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

 chunk_tag = "tour_destination.logsums"

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged = logsum.filter_chooser_columns(
 persons_merged, logsum_settings, model_settings
 )

 # merge persons into tours
 choosers = pd.merge(
 destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
 coefficients_file_name=model_settings.COEFFICIENTS,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

14 changes: 2 additions & 12 deletions
activitysim/abm/models/util/tour_od.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
 "orig_col_name": ORIG_TAZ,
 "dest_col_name": DEST_TAZ,
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
 )

 choosers = tours
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
 dest_id_col = model_settings.DEST_COL_NAME
 tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

 # FIXME - MEMORY HACK - only include columns actually used in spec
 tours_merged_df = logsum.filter_chooser_columns(
 tours_merged_df, logsum_settings, model_settings
 )

 # merge ods into choosers table
 choosers = od_sample.join(tours_merged_df, how="left")
 choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
 # merge persons into tours
 choosers = tours

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
 logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
 "orig_col_name": origin_col_name,
 "dest_col_name": dest_col_name,
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

18 changes: 0 additions & 18 deletions
activitysim/abm/models/util/tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
 trace_label: str,
):

 if model_settings.LOGSUM_SETTINGS:
 logsum_settings = TourModeComponentSettings.read_settings_file(
 state.filesystem,
 str(model_settings.LOGSUM_SETTINGS),
 mandatory=False,
 )
 logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 else:
 logsum_columns = []

 # - filter chooser columns for both logsums and simulate
 model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = logsum_columns + [
 c for c in model_columns if c not in logsum_columns
 ]

 persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

 timetable = state.get_injectable("timetable")

 # - run preprocessor to annotate choosers
Expand Down

23 changes: 22 additions & 1 deletion
activitysim/abm/models/util/vectorize_tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
 give the segements.
 """
 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 If less than 1, use this fraction of the total number of rows.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


def skims_for_logsums(
 state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

 # - make choices
 locals_d = {"tt": timetable.attach_state(state)}
 locals_d.update(state.get_global_constants())
 constants = config.get_model_constants(model_settings)
 if constants is not None:
 locals_d.update(constants)
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Auto-enable theater mode on YouTube\n(function() {\n function tryTheater() {\n var btn = document.querySelector('button[aria-label=\"Theater mode\"], ytd-player #player button[title=\"Theater mode\"]');\n if (btn && !btn.classList.contains('activated')) {\n btn.click();\n }\n }\n \n // Try immediately\n tryTheater();\n \n // Try after navigation (SPA)\n var lastUrl = location.href;\n setInterval(function() {\n if (location.href !== lastUrl) {\n lastUrl = location.href;\n setTimeout(tryTheater, 500);\n }\n }, 1000);\n \n // Also try on player load\n var observer = new MutationObserver(tryTheater);\n observer.observe(document.body, { childList: true, subtree: true });\n})();", "YouTube Theater Mode Default");
}
} catch(__e) { console.warn('[Userscript:YouTube Theater Mode Default]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

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dhensle
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Access to global constants and removing chooser col filtering
#1017
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0a5eeb6

access to global constants and removing chooser col filtering


dhensle Nov 12, 2025
91a63d3

Removing deprecated settings as property


dhensle Nov 13, 2025
10973e1

blacken


dhensle Nov 13, 2025
f05a414

Merge branch 'main' into globals_and_chooser_cols


dhensle Nov 13, 2025
d0c83b5

Merge branch 'main' into globals_and_chooser_cols


jpn-- Dec 2, 2025

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22 changes: 5 additions & 17 deletions
activitysim/abm/models/location_choice.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
 chunk_tag,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
 # and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
 HOME_TAZ in persons_merged
 ) # 'TAZ' should already be in persons_merged from land_use

 # FIXME - MEMORY HACK - only include columns actually used in spec
 # FIXME we don't actually require that land_use provide a TAZ crosswalk
 # FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
 # and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
 mandatory=False,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged_df = logsum.filter_chooser_columns(
 persons_merged_df, logsum_settings, model_settings
 )

 logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

 choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
 """
 assert not persons_merged.empty

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand Down

29 changes: 21 additions & 8 deletions
activitysim/abm/models/school_escorting.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 GENDER_WEIGHT: float = 10.0
 AGE_WEIGHT: float = 1.0

 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC: None = None
 """The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 Multinomial logit model.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
 # else:
 # locals_dict.pop("_sharrow_skip", None)

 # reduce memory by limiting columns if selected columns are supplied
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 if chooser_columns is not None:
 chooser_columns = chooser_columns + participant_columns
 choosers = choosers[chooser_columns]

 # add previous data to stage
 if stage_num >= 1:
 choosers = add_prev_choices_to_choosers(
Expand Down

35 changes: 0 additions & 35 deletions
activitysim/abm/models/util/logsums.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
 choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
 try:
 chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 except AttributeError:
 chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

 if (
 isinstance(model_settings, dict)
 and "CHOOSER_ORIG_COL_NAME" in model_settings
 and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
 ):
 chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
 if (
 isinstance(model_settings, PydanticBase)
 and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
 and model_settings.CHOOSER_ORIG_COL_NAME
 and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
 ):
 chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

 missing_columns = [c for c in chooser_columns if c not in choosers]
 if missing_columns:
 logger.debug(
 "logsum.filter_chooser_columns missing_columns %s" % missing_columns
 )

 # ignore any columns not appearing in choosers df
 chooser_columns = [c for c in chooser_columns if c in choosers]

 choosers = choosers[chooser_columns]
 return choosers


def compute_location_choice_logsums(
 state: workflow.State,
 choosers: pd.DataFrame,
Expand Down

26 changes: 2 additions & 24 deletions
activitysim/abm/models/util/tour_destination.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
 chunk_size,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

 chunk_tag = "tour_destination.logsums"

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged = logsum.filter_chooser_columns(
 persons_merged, logsum_settings, model_settings
 )

 # merge persons into tours
 choosers = pd.merge(
 destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
 coefficients_file_name=model_settings.COEFFICIENTS,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

14 changes: 2 additions & 12 deletions
activitysim/abm/models/util/tour_od.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
 "orig_col_name": ORIG_TAZ,
 "dest_col_name": DEST_TAZ,
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
 )

 choosers = tours
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
 dest_id_col = model_settings.DEST_COL_NAME
 tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

 # FIXME - MEMORY HACK - only include columns actually used in spec
 tours_merged_df = logsum.filter_chooser_columns(
 tours_merged_df, logsum_settings, model_settings
 )

 # merge ods into choosers table
 choosers = od_sample.join(tours_merged_df, how="left")
 choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
 # merge persons into tours
 choosers = tours

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
 logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
 "orig_col_name": origin_col_name,
 "dest_col_name": dest_col_name,
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

18 changes: 0 additions & 18 deletions
activitysim/abm/models/util/tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
 trace_label: str,
):

 if model_settings.LOGSUM_SETTINGS:
 logsum_settings = TourModeComponentSettings.read_settings_file(
 state.filesystem,
 str(model_settings.LOGSUM_SETTINGS),
 mandatory=False,
 )
 logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 else:
 logsum_columns = []

 # - filter chooser columns for both logsums and simulate
 model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = logsum_columns + [
 c for c in model_columns if c not in logsum_columns
 ]

 persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

 timetable = state.get_injectable("timetable")

 # - run preprocessor to annotate choosers
Expand Down

23 changes: 22 additions & 1 deletion
activitysim/abm/models/util/vectorize_tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
 give the segements.
 """
 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 If less than 1, use this fraction of the total number of rows.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


def skims_for_logsums(
 state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

 # - make choices
 locals_d = {"tt": timetable.attach_state(state)}
 locals_d.update(state.get_global_constants())
 constants = config.get_model_constants(model_settings)
 if constants is not None:
 locals_d.update(constants)
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Remove or un-stick sticky/fixed headers that block content\n(function() {\n function unstick() {\n document.querySelectorAll('header, nav, [role=\"banner\"], .header, .navbar, .sticky, .fixed-top, [style*=\"position: fixed\"], [style*=\"position:sticky\"]').forEach(function(el) {\n if (el.style.position === 'fixed' || el.style.position === 'sticky' || \n getComputedStyle(el).position === 'fixed' || getComputedStyle(el).position === 'sticky') {\n el.style.position = 'static';\n el.style.top = 'auto';\n el.style.zIndex = 'auto';\n }\n });\n }\n \n unstick();\n \n var observer = new MutationObserver(unstick);\n observer.observe(document.body, { childList: true, subtree: true, attributes: true, attributeFilter: ['style', 'class'] });\n})();", "Kill Sticky Headers");
}
} catch(__e) { console.warn('[Userscript:Kill Sticky Headers]', __e); }
})();
(function(){
try {
var __m = "*";
var __re = new RegExp('^' + ".*" + '

Skip to content
Access to global constants and removing chooser col filtering#1017

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 Closed

dhensle
wants to merge
5
commits into

from

 Closed


Access to global constants and removing chooser col filtering
#1017
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0a5eeb6

access to global constants and removing chooser col filtering


dhensle Nov 12, 2025
91a63d3

Removing deprecated settings as property


dhensle Nov 13, 2025
10973e1

blacken


dhensle Nov 13, 2025
f05a414

Merge branch 'main' into globals_and_chooser_cols


dhensle Nov 13, 2025
d0c83b5

Merge branch 'main' into globals_and_chooser_cols


jpn-- Dec 2, 2025

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22 changes: 5 additions & 17 deletions
activitysim/abm/models/location_choice.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
 chunk_tag,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
 # and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
 HOME_TAZ in persons_merged
 ) # 'TAZ' should already be in persons_merged from land_use

 # FIXME - MEMORY HACK - only include columns actually used in spec
 # FIXME we don't actually require that land_use provide a TAZ crosswalk
 # FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
 # and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
 mandatory=False,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged_df = logsum.filter_chooser_columns(
 persons_merged_df, logsum_settings, model_settings
 )

 logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

 choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
 """
 assert not persons_merged.empty

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand Down

29 changes: 21 additions & 8 deletions
activitysim/abm/models/school_escorting.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 GENDER_WEIGHT: float = 10.0
 AGE_WEIGHT: float = 1.0

 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC: None = None
 """The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 Multinomial logit model.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
 # else:
 # locals_dict.pop("_sharrow_skip", None)

 # reduce memory by limiting columns if selected columns are supplied
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 if chooser_columns is not None:
 chooser_columns = chooser_columns + participant_columns
 choosers = choosers[chooser_columns]

 # add previous data to stage
 if stage_num >= 1:
 choosers = add_prev_choices_to_choosers(
Expand Down

35 changes: 0 additions & 35 deletions
activitysim/abm/models/util/logsums.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
 choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
 try:
 chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 except AttributeError:
 chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

 if (
 isinstance(model_settings, dict)
 and "CHOOSER_ORIG_COL_NAME" in model_settings
 and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
 ):
 chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
 if (
 isinstance(model_settings, PydanticBase)
 and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
 and model_settings.CHOOSER_ORIG_COL_NAME
 and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
 ):
 chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

 missing_columns = [c for c in chooser_columns if c not in choosers]
 if missing_columns:
 logger.debug(
 "logsum.filter_chooser_columns missing_columns %s" % missing_columns
 )

 # ignore any columns not appearing in choosers df
 chooser_columns = [c for c in chooser_columns if c in choosers]

 choosers = choosers[chooser_columns]
 return choosers


def compute_location_choice_logsums(
 state: workflow.State,
 choosers: pd.DataFrame,
Expand Down

26 changes: 2 additions & 24 deletions
activitysim/abm/models/util/tour_destination.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
 chunk_size,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

 chunk_tag = "tour_destination.logsums"

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged = logsum.filter_chooser_columns(
 persons_merged, logsum_settings, model_settings
 )

 # merge persons into tours
 choosers = pd.merge(
 destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
 coefficients_file_name=model_settings.COEFFICIENTS,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

14 changes: 2 additions & 12 deletions
activitysim/abm/models/util/tour_od.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
 "orig_col_name": ORIG_TAZ,
 "dest_col_name": DEST_TAZ,
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
 )

 choosers = tours
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
 dest_id_col = model_settings.DEST_COL_NAME
 tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

 # FIXME - MEMORY HACK - only include columns actually used in spec
 tours_merged_df = logsum.filter_chooser_columns(
 tours_merged_df, logsum_settings, model_settings
 )

 # merge ods into choosers table
 choosers = od_sample.join(tours_merged_df, how="left")
 choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
 # merge persons into tours
 choosers = tours

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
 logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
 "orig_col_name": origin_col_name,
 "dest_col_name": dest_col_name,
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

18 changes: 0 additions & 18 deletions
activitysim/abm/models/util/tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
 trace_label: str,
):

 if model_settings.LOGSUM_SETTINGS:
 logsum_settings = TourModeComponentSettings.read_settings_file(
 state.filesystem,
 str(model_settings.LOGSUM_SETTINGS),
 mandatory=False,
 )
 logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 else:
 logsum_columns = []

 # - filter chooser columns for both logsums and simulate
 model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = logsum_columns + [
 c for c in model_columns if c not in logsum_columns
 ]

 persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

 timetable = state.get_injectable("timetable")

 # - run preprocessor to annotate choosers
Expand Down

23 changes: 22 additions & 1 deletion
activitysim/abm/models/util/vectorize_tour_scheduling.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
 give the segements.
 """
 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 If less than 1, use this fraction of the total number of rows.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


def skims_for_logsums(
 state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

 # - make choices
 locals_d = {"tt": timetable.attach_state(state)}
 locals_d.update(state.get_global_constants())
 constants = config.get_model_constants(model_settings)
 if constants is not None:
 locals_d.update(constants)
Expand Down
Loading
Loading

, 'i');
if (__m === '*' || __re.test(location.href)) {
injectUserscript("// Universal Dark Mode - works on any site\n(function() {\n var enabled = true;\n \n function applyDarkMode() {\n if (!enabled) return;\n \n // Create style element if it doesn't exist\n var style = document.getElementById('universal-dark-mode-style');\n if (!style) {\n style = document.createElement('style');\n style.id = 'universal-dark-mode-style';\n document.head.appendChild(style);\n }\n \n // Dark mode CSS - inverts colors but preserves images/video\n style.textContent = '\n /* Invert everything except media */\n html {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #1a1a2e !important;\n }\n \n /* Restore images, videos, iframes, canvas */\n img, video, iframe, canvas, svg, picture, [style*=\"background-image\"] {\n filter: invert(1) hue-rotate(180deg) !important;\n }\n \n /* Preserve specific elements that should not be inverted */\n .no-dark-mode, .no-dark-mode *,\n [data-theme=\"light\"], [data-theme=\"light\"],\n .ace_editor, .ace_editor *,\n .CodeMirror, .CodeMirror *,\n .monaco-editor, .monaco-editor *,\n .markdown-body pre, .markdown-body pre *,\n .highlight, .highlight *,\n pre code, pre code * {\n filter: none !important;\n }\n \n /* Fix common UI elements */\n .modal, .popup, .dropdown-menu, .tooltip, .popover {\n filter: invert(1) hue-rotate(180deg) !important;\n background: #2d2d44 !important;\n border-color: #444 !important;\n }\n \n /* Scrollbars */\n ::-webkit-scrollbar { background: #1a1a2e !important; }\n ::-webkit-scrollbar-thumb { background: #444 !important; }\n ::-webkit-scrollbar-thumb:hover { background: #555 !important; }\n \n /* Selection */\n ::selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ::-moz-selection { background: #4ecdc4 !important; color: #1a1a2e !important; }\n ';\n }\n \n function removeDarkMode() {\n var style = document.getElementById('universal-dark-mode-style');\n if (style) style.remove();\n }\n \n // Toggle with Alt+Shift+D\n document.addEventListener('keydown', function(e) {\n if (e.altKey && e.shiftKey && e.key === 'D') {\n e.preventDefault();\n enabled = !enabled;\n if (enabled) {\n applyDarkMode();\n console.log('[Universal Dark Mode] Enabled');\n } else {\n removeDarkMode();\n console.log('[Universal Dark Mode] Disabled');\n }\n }\n });\n \n // Apply on load\n applyDarkMode();\n \n // Re-apply on dynamic content\n var observer = new MutationObserver(function(mutations) {\n if (enabled && !document.getElementById('universal-dark-mode-style')) {\n applyDarkMode();\n }\n });\n observer.observe(document.head, { childList: true });\n \n console.log('[Universal Dark Mode] Loaded - Press Alt+Shift+D to toggle');\n})();", "Universal Dark Mode");
}
} catch(__e) { console.warn('[Userscript:Universal Dark Mode]', __e); }
})();
})();

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Access to global constants and removing chooser col filtering
#1017
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0a5eeb6

access to global constants and removing chooser col filtering


dhensle Nov 12, 2025
91a63d3

Removing deprecated settings as property


dhensle Nov 13, 2025
10973e1

blacken


dhensle Nov 13, 2025
f05a414

Merge branch 'main' into globals_and_chooser_cols


dhensle Nov 13, 2025
d0c83b5

Merge branch 'main' into globals_and_chooser_cols


jpn-- Dec 2, 2025

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22 changes: 5 additions & 17 deletions
activitysim/abm/models/location_choice.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -161,6 +161,7 @@ def _location_sample(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand DownExpand Up@@ -232,9 +233,7 @@ def location_sample(
 chunk_tag,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a home_zone_id in the choosers
 # and a zone_id in the alternatives which get merged during interaction
Expand DownExpand Up@@ -385,12 +384,7 @@ def location_presample(
 HOME_TAZ in persons_merged
 ) # 'TAZ' should already be in persons_merged from land_use

 # FIXME - MEMORY HACK - only include columns actually used in spec
 # FIXME we don't actually require that land_use provide a TAZ crosswalk
 # FIXME maybe we should add it for multi-zone (from maz_taz) if missing?
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = [HOME_TAZ if c == HOME_MAZ else c for c in chooser_columns]
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 # create wrapper with keys for this lookup - in this case there is a HOME_TAZ in the choosers
 # and a DEST_TAZ in the alternatives which get merged during interaction
Expand DownExpand Up@@ -555,11 +549,6 @@ def run_location_logsums(
 mandatory=False,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged_df = logsum.filter_chooser_columns(
 persons_merged_df, logsum_settings, model_settings
 )

 logger.info(f"Running {trace_label} with {len(location_sample_df.index)} rows")

 choosers = location_sample_df.join(persons_merged_df, how="left")
Expand DownExpand Up@@ -618,9 +607,7 @@ def run_location_simulate(
 """
 assert not persons_merged.empty

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = persons_merged[chooser_columns]
 choosers = persons_merged

 alt_dest_col_name = model_settings.ALT_DEST_COL_NAME

Expand DownExpand Up@@ -651,6 +638,7 @@ def run_location_simulate(
 "reindex": reindex,
 "land_use": state.get_dataframe("land_use"),
 }
 locals_d.update(state.get_global_constants())
 locals_d.update(model_settings.CONSTANTS or {})

 # preprocess choosers table
Expand Down

29 changes: 21 additions & 8 deletions
activitysim/abm/models/school_escorting.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -3,7 +3,9 @@
from __future__ import annotations

import logging
import warnings
from typing import Any, Literal
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -335,8 +337,6 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 GENDER_WEIGHT: float = 10.0
 AGE_WEIGHT: float = 1.0

 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC: None = None
 """The school escort model does not use this setting."""

Expand DownExpand Up@@ -369,6 +369,25 @@ class SchoolEscortSettings(BaseLogitComponentSettings, extra="forbid"):
 Multinomial logit model.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


@workflow.step
def school_escorting(
Expand DownExpand Up@@ -469,12 +488,6 @@ def school_escorting(
 # else:
 # locals_dict.pop("_sharrow_skip", None)

 # reduce memory by limiting columns if selected columns are supplied
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 if chooser_columns is not None:
 chooser_columns = chooser_columns + participant_columns
 choosers = choosers[chooser_columns]

 # add previous data to stage
 if stage_num >= 1:
 choosers = add_prev_choices_to_choosers(
Expand Down

35 changes: 0 additions & 35 deletions
activitysim/abm/models/util/logsums.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -16,41 +16,6 @@
logger = logging.getLogger(__name__)


def filter_chooser_columns(
 choosers, logsum_settings: dict | PydanticBase, model_settings: dict | PydanticBase
):
 try:
 chooser_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 except AttributeError:
 chooser_columns = logsum_settings.get("LOGSUM_CHOOSER_COLUMNS", [])

 if (
 isinstance(model_settings, dict)
 and "CHOOSER_ORIG_COL_NAME" in model_settings
 and model_settings["CHOOSER_ORIG_COL_NAME"] not in chooser_columns
 ):
 chooser_columns.append(model_settings["CHOOSER_ORIG_COL_NAME"])
 if (
 isinstance(model_settings, PydanticBase)
 and hasattr(model_settings, "CHOOSER_ORIG_COL_NAME")
 and model_settings.CHOOSER_ORIG_COL_NAME
 and model_settings.CHOOSER_ORIG_COL_NAME not in chooser_columns
 ):
 chooser_columns.append(model_settings.CHOOSER_ORIG_COL_NAME)

 missing_columns = [c for c in chooser_columns if c not in choosers]
 if missing_columns:
 logger.debug(
 "logsum.filter_chooser_columns missing_columns %s" % missing_columns
 )

 # ignore any columns not appearing in choosers df
 chooser_columns = [c for c in chooser_columns if c in choosers]

 choosers = choosers[chooser_columns]
 return choosers


def compute_location_choice_logsums(
 state: workflow.State,
 choosers: pd.DataFrame,
Expand Down

26 changes: 2 additions & 24 deletions
activitysim/abm/models/util/tour_destination.py

View file


Open in desktop

Original file line numberDiff line numberDiff line change
Expand Up@@ -113,6 +113,7 @@ def _destination_sample(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -619,18 +620,9 @@ def run_destination_sample(
 chunk_size,
 trace_label,
):
 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -726,11 +718,6 @@ def run_destination_logsums(

 chunk_tag = "tour_destination.logsums"

 # FIXME - MEMORY HACK - only include columns actually used in spec
 persons_merged = logsum.filter_chooser_columns(
 persons_merged, logsum_settings, model_settings
 )

 # merge persons into tours
 choosers = pd.merge(
 destination_sample,
Expand DownExpand Up@@ -793,18 +780,8 @@ def run_destination_simulate(
 coefficients_file_name=model_settings.COEFFICIENTS,
 )

 # FIXME - MEMORY HACK - only include columns actually used in spec (omit them pre-merge)
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS

 # if special person id is passed
 chooser_id_column = model_settings.CHOOSER_ID_COLUMN

 persons_merged = persons_merged[
 [c for c in persons_merged.columns if c in chooser_columns]
 ]
 tours = tours[
 [c for c in tours.columns if c in chooser_columns or c == chooser_id_column]
 ]
 choosers = pd.merge(
 tours, persons_merged, left_on=chooser_id_column, right_index=True, how="left"
 )
Expand DownExpand Up@@ -846,6 +823,7 @@ def run_destination_simulate(
 "dest_col_name": skims.dest_key, # added for sharrow flows
 "timeframe": "timeless",
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

14 changes: 2 additions & 12 deletions
activitysim/abm/models/util/tour_od.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -178,6 +178,7 @@ def _od_sample(
 "orig_col_name": ORIG_TAZ,
 "dest_col_name": DEST_TAZ,
 }
 locals_d.update(state.get_global_constants())
 constants = model_settings.CONSTANTS
 if constants is not None:
 locals_d.update(constants)
Expand DownExpand Up@@ -690,9 +691,6 @@ def run_od_sample(
 )

 choosers = tours
 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
Expand DownExpand Up@@ -769,11 +767,6 @@ def run_od_logsums(
 dest_id_col = model_settings.DEST_COL_NAME
 tour_od_id_col = get_od_id_col(origin_id_col, dest_id_col)

 # FIXME - MEMORY HACK - only include columns actually used in spec
 tours_merged_df = logsum.filter_chooser_columns(
 tours_merged_df, logsum_settings, model_settings
 )

 # merge ods into choosers table
 choosers = od_sample.join(tours_merged_df, how="left")
 choosers[tour_od_id_col] = (
Expand DownExpand Up@@ -949,10 +942,6 @@ def run_od_simulate(
 # merge persons into tours
 choosers = tours

 # FIXME - MEMORY HACK - only include columns actually used in spec
 chooser_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 choosers = choosers[chooser_columns]

 # interaction_sample requires that choosers.index.is_monotonic_increasing
 if not choosers.index.is_monotonic_increasing:
 logger.debug(
Expand DownExpand Up@@ -1003,6 +992,7 @@ def run_od_simulate(
 "orig_col_name": origin_col_name,
 "dest_col_name": dest_col_name,
 }
 locals_d.update(state.get_global_constants())
 if constants is not None:
 locals_d.update(constants)

Expand Down

18 changes: 0 additions & 18 deletions
activitysim/abm/models/util/tour_scheduling.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -24,24 +24,6 @@ def run_tour_scheduling(
 trace_label: str,
):

 if model_settings.LOGSUM_SETTINGS:
 logsum_settings = TourModeComponentSettings.read_settings_file(
 state.filesystem,
 str(model_settings.LOGSUM_SETTINGS),
 mandatory=False,
 )
 logsum_columns = logsum_settings.LOGSUM_CHOOSER_COLUMNS
 else:
 logsum_columns = []

 # - filter chooser columns for both logsums and simulate
 model_columns = model_settings.SIMULATE_CHOOSER_COLUMNS
 chooser_columns = logsum_columns + [
 c for c in model_columns if c not in logsum_columns
 ]

 persons_merged = expressions.filter_chooser_columns(persons_merged, chooser_columns)

 timetable = state.get_injectable("timetable")

 # - run preprocessor to annotate choosers
Expand Down

23 changes: 22 additions & 1 deletion
activitysim/abm/models/util/vectorize_tour_scheduling.py

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Original file line numberDiff line numberDiff line change
Expand Up@@ -3,9 +3,11 @@
from __future__ import annotations

import logging
import warnings
from collections import OrderedDict
from pathlib import Path
from typing import Any
from pydantic import field_validator

import numpy as np
import pandas as pd
Expand DownExpand Up@@ -42,7 +44,6 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 it is assumed to be an unsegmented preprocessor. Otherwise, the dict keys
 give the segements.
 """
 SIMULATE_CHOOSER_COLUMNS: list[str] | None = None

 SPEC_SEGMENTS: dict[str, LogitComponentSettings] = {}

Expand All@@ -63,6 +64,25 @@ class TourSchedulingSettings(LogitComponentSettings, extra="forbid"):
 If less than 1, use this fraction of the total number of rows.
 """

 SIMULATE_CHOOSER_COLUMNS: Any | None = None
 """Was used to help reduce the memory needed for the model.
 Setting is now obsolete and doesn't do anything.
 Functionality was replaced by util.drop_unused_columns

 .. deprecated:: 1.4
 """

 @field_validator("SIMULATE_CHOOSER_COLUMNS", mode="before")
 @classmethod
 def _warn_simulate_chooser_columns(cls, v):
 if v is not None:
 warnings.warn(
 "SIMULATE_CHOOSER_COLUMNS is deprecated and replaced by util.drop_unused_columns; value will be ignored.",
 DeprecationWarning,
 stacklevel=2,
 )
 return None


def skims_for_logsums(
 state: workflow.State,
Expand DownExpand Up@@ -822,6 +842,7 @@ def _schedule_tours(

 # - make choices
 locals_d = {"tt": timetable.attach_state(state)}
 locals_d.update(state.get_global_constants())
 constants = config.get_model_constants(model_settings)
 if constants is not None:
 locals_d.update(constants)
Expand Down
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