From 84a2a0cdb6c3254aee93eddcd89d0195004d26e9 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 12 Jul 2023 15:02:04 -0400 Subject: [PATCH 01/41] trying pandas categorical dtype --- .../abm/models/mandatory_tour_frequency.py | 6 ++++- activitysim/abm/models/tour_mode_choice.py | 2 +- activitysim/abm/models/trip_destination.py | 2 +- activitysim/abm/models/trip_mode_choice.py | 2 +- activitysim/abm/models/util/canonical_ids.py | 2 +- activitysim/abm/models/util/tour_frequency.py | 4 ++++ activitysim/core/interaction_simulate.py | 23 +++++++++++++++++++ ..._frequency_annotate_tours_preprocessor.csv | 1 + 8 files changed, 37 insertions(+), 5 deletions(-) diff --git a/activitysim/abm/models/mandatory_tour_frequency.py b/activitysim/abm/models/mandatory_tour_frequency.py index 166c671e0..804b3c3d4 100644 --- a/activitysim/abm/models/mandatory_tour_frequency.py +++ b/activitysim/abm/models/mandatory_tour_frequency.py @@ -23,7 +23,9 @@ def add_null_results(state, trace_label, mandatory_tour_frequency_settings): logger.info("Skipping %s: add_null_results", trace_label) persons = state.get_dataframe("persons") - persons["mandatory_tour_frequency"] = "" + persons["mandatory_tour_frequency"] = pd.categorical( + "", categories=["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False + ) tours = pd.DataFrame() tours["tour_category"] = None @@ -110,6 +112,8 @@ def mandatory_tour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) + cat_type = pd.api.types.CategoricalDtype(["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False) + choices = choices.astype(cat_type) if estimator: estimator.write_choices(choices) diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py index c56547b26..d2feb66a9 100644 --- a/activitysim/abm/models/tour_mode_choice.py +++ b/activitysim/abm/models/tour_mode_choice.py @@ -314,7 +314,7 @@ def tour_mode_choice_simulate( choices_list = [] for tour_purpose, tours_segment in primary_tours_merged.groupby( - segment_column_name + segment_column_name, observed=True ): logger.info( "tour_mode_choice_simulate tour_type '%s' (%s tours)" diff --git a/activitysim/abm/models/trip_destination.py b/activitysim/abm/models/trip_destination.py index 4b0384cec..00e3f467c 100644 --- a/activitysim/abm/models/trip_destination.py +++ b/activitysim/abm/models/trip_destination.py @@ -1300,7 +1300,7 @@ def run_trip_destination( # - choose destination for nth_trips, segmented by primary_purpose choices_list = [] - for primary_purpose, trips_segment in nth_trips.groupby("primary_purpose"): + for primary_purpose, trips_segment in nth_trips.groupby("primary_purpose", observed=True): choices, destination_sample = choose_trip_destination( state, primary_purpose, diff --git a/activitysim/abm/models/trip_mode_choice.py b/activitysim/abm/models/trip_mode_choice.py index 8f3e9f418..498e8c21c 100644 --- a/activitysim/abm/models/trip_mode_choice.py +++ b/activitysim/abm/models/trip_mode_choice.py @@ -168,7 +168,7 @@ def trip_mode_choice( choices_list = [] cols_to_keep_list = [] - for primary_purpose, trips_segment in trips_merged.groupby("primary_purpose"): + for primary_purpose, trips_segment in trips_merged.groupby("primary_purpose", observed=True): segment_trace_label = tracing.extend_trace_label(trace_label, primary_purpose) logger.info( diff --git a/activitysim/abm/models/util/canonical_ids.py b/activitysim/abm/models/util/canonical_ids.py index 0ca1a1d3b..de5ed8ca8 100644 --- a/activitysim/abm/models/util/canonical_ids.py +++ b/activitysim/abm/models/util/canonical_ids.py @@ -383,7 +383,7 @@ def set_tour_index( assert tour_num_col in tours.columns # create string tour_id corresonding to keys in possible_tours (e.g. 'work1', 'j_shopping2') - tours["tour_id"] = tours.tour_type + tours[tour_num_col].map(str) + tours["tour_id"] = tours.tour_type.astype(str) + tours[tour_num_col].map(str) if parent_tour_num_col: # we need to distinguish between subtours of different work tours diff --git a/activitysim/abm/models/util/tour_frequency.py b/activitysim/abm/models/util/tour_frequency.py index 9c9d8a567..0a6241a15 100644 --- a/activitysim/abm/models/util/tour_frequency.py +++ b/activitysim/abm/models/util/tour_frequency.py @@ -57,6 +57,8 @@ def create_tours(tour_counts, tour_category, parent_col="person_id"): # reformat with the columns given below tours = tour_counts.stack().reset_index() tours.columns = [parent_col, "tour_type", "tour_type_count"] + cat_tour_type = pd.api.types.CategoricalDtype(["work","school","univ","escort","eatout","shopping","social","othmaint","othdiscr", "eat", "business","maint", "atwork"], ordered=False) + tours["tour_type"] = tours["tour_type"].astype(cat_tour_type) """ tour_type tour_type_count @@ -99,6 +101,8 @@ def create_tours(tour_counts, tour_category, parent_col="person_id"): # do not enforce this here, other categories are possible # assert tour_category in ["mandatory", "non_mandatory", "atwork", "joint"] tours["tour_category"] = tour_category + cat_tour_category = pd.api.types.CategoricalDtype(["mandatory","joint","non_mandatory","atwork"], ordered=False) + tours["tour_category"] = tours["tour_category"].astype(cat_tour_category) # for joint tours, the correct number will be filled in after participation step tours["number_of_participants"] = 1 diff --git a/activitysim/core/interaction_simulate.py b/activitysim/core/interaction_simulate.py index 88dbfc73d..cb6ae01aa 100644 --- a/activitysim/core/interaction_simulate.py +++ b/activitysim/core/interaction_simulate.py @@ -12,6 +12,10 @@ import numpy as np import pandas as pd +import psutil +import os +import io + from . import chunk, config, logit, simulate, tracing, workflow logger = logging.getLogger(__name__) @@ -76,6 +80,25 @@ def eval_interaction_utilities( trace_label = tracing.extend_trace_label(trace_label, "eval_interaction_utils") logger.info("Running eval_interaction_utilities on %s rows" % df.shape[0]) + logger.info("Writing out interaction df info") + + buffer = io.StringIO() + df.info(memory_usage = 'deep', buf=buffer) + s = buffer.getvalue() + with open(os.path.join(state.filesystem.output_dir, trace_label+".interaction_df.info.txt"), "w", encoding="utf-8") as f: + f.write(s) + + df.memory_usage(deep = True).to_csv( + os.path.join(state.filesystem.output_dir, trace_label+".interaction_df.memory_usage_deep.txt") + ) + + df.memory_usage().to_csv( + os.path.join(state.filesystem.output_dir, trace_label+".interaction_df.memory_usage.txt") + ) + + process = psutil.Process(os.getpid()) + logger.info("PID RSS when writing out interaction df info: %s" % process.memory_info().rss) + sharrow_enabled = state.settings.sharrow if locals_d is not None and locals_d.get("_sharrow_skip", False): diff --git a/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv b/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv index d7b2f1d61..a497131a6 100644 --- a/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv +++ b/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv @@ -4,6 +4,7 @@ Description,Target,Expression # e.g. univ segment means there will be a spec called stop_frequency_univ.csv,, # so the 'school' tour_type can treat univ and non-univ school tours differently,, ,primary_purpose,"df.tour_type.where((df.tour_type != 'school') | ~df.is_university, 'univ')" +# assigning category columns a new value can be problematic ,primary_purpose,"primary_purpose.where(df.tour_category!='atwork', 'atwork')" #,, ,distance_in_miles,od_skims['DIST'] From 228cc28a4b02fbca443bccc4d07f625962e51f21 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Sun, 16 Jul 2023 22:38:03 -0400 Subject: [PATCH 02/41] sweeping out string variables --- activitysim/abm/models/atwork_subtour_frequency.py | 7 ++++++- activitysim/abm/models/cdap.py | 2 ++ activitysim/abm/models/joint_tour_composition.py | 6 +++++- activitysim/abm/models/joint_tour_frequency.py | 4 +++- activitysim/abm/models/joint_tour_participation.py | 2 +- activitysim/abm/models/mandatory_tour_frequency.py | 2 +- activitysim/abm/models/stop_frequency.py | 2 ++ activitysim/abm/models/tour_mode_choice.py | 5 +++++ activitysim/abm/models/trip_purpose.py | 8 ++++++-- activitysim/abm/models/util/mode.py | 7 +++++-- activitysim/abm/models/util/tour_frequency.py | 8 +++++++- activitysim/abm/models/util/trip.py | 1 + activitysim/abm/models/util/vectorize_tour_scheduling.py | 7 +++++-- activitysim/core/util.py | 3 +++ 14 files changed, 52 insertions(+), 12 deletions(-) diff --git a/activitysim/abm/models/atwork_subtour_frequency.py b/activitysim/abm/models/atwork_subtour_frequency.py index 7bbee371f..ed856bbde 100644 --- a/activitysim/abm/models/atwork_subtour_frequency.py +++ b/activitysim/abm/models/atwork_subtour_frequency.py @@ -22,7 +22,10 @@ def add_null_results(state, trace_label, tours): logger.info("Skipping %s: add_null_results", trace_label) - tours["atwork_subtour_frequency"] = np.nan + cat_type = pd.api.types.CategoricalDtype(["", "no_subtours","eat","business1","maint","business2","eat_business"], ordered=False) + choices = choices.astype(cat_type) + tours["atwork_subtour_frequency"] = "" + tours["atwork_subtour_frequency"] = tours["atwork_subtour_frequency"].astype(cat_type) state.add_table("tours", tours) @@ -100,6 +103,8 @@ def atwork_subtour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) + cat_type = pd.api.types.CategoricalDtype(["", "no_subtours","eat","business1","maint","business2","eat_business"], ordered=False) + choices = choices.astype(cat_type) if estimator: estimator.write_choices(choices) diff --git a/activitysim/abm/models/cdap.py b/activitysim/abm/models/cdap.py index f4d148a41..524b03586 100644 --- a/activitysim/abm/models/cdap.py +++ b/activitysim/abm/models/cdap.py @@ -206,6 +206,8 @@ def cdap_simulate( estimator.end_estimation() choices = choices.reindex(persons.index) + cap_cat_type = pd.api.types.CategoricalDtype(["", "M", "N", "H"], ordered=False) + choices = choices.astype(cap_cat_type) persons["cdap_activity"] = choices expressions.assign_columns( diff --git a/activitysim/abm/models/joint_tour_composition.py b/activitysim/abm/models/joint_tour_composition.py index 50c458e7a..ac58c6e1f 100644 --- a/activitysim/abm/models/joint_tour_composition.py +++ b/activitysim/abm/models/joint_tour_composition.py @@ -22,6 +22,8 @@ def add_null_results(state, trace_label, tours): logger.info("Skipping %s: add_null_results" % trace_label) tours["composition"] = "" + cat_type = pd.api.types.CategoricalDtype(["", "adults", "children", "mixed"], ordered=False) + tours["composition"] = tours["composition"].astype(cat_type) state.add_table("tours", tours) @@ -106,6 +108,8 @@ def joint_tour_composition( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) + cat_type = pd.api.types.CategoricalDtype(["", "adults", "children", "mixed"], ordered=False) + choices = choices.astype(cat_type) if estimator: estimator.write_choices(choices) @@ -117,7 +121,7 @@ def joint_tour_composition( joint_tours["composition"] = choices # reindex since we ran model on a subset of households - tours["composition"] = choices.reindex(tours.index).fillna("").astype(str) + tours["composition"] = choices.reindex(tours.index).fillna("") state.add_table("tours", tours) tracing.print_summary( diff --git a/activitysim/abm/models/joint_tour_frequency.py b/activitysim/abm/models/joint_tour_frequency.py index 66996ce1d..819b18afb 100644 --- a/activitysim/abm/models/joint_tour_frequency.py +++ b/activitysim/abm/models/joint_tour_frequency.py @@ -98,6 +98,8 @@ def joint_tour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) + cat_type = pd.api.types.CategoricalDtype(["0_tours","1_Shop","1_Main","1_Eat","1_Visit","1_Disc","2_SS","2_SM","2_SE","2_SV","2_SD","2_MM","2_ME","2_MV","2_MD","2_EE","2_EV","2_ED","2_VV","2_VD","2_DD"], ordered=False) + choices = choices.astype(cat_type) if estimator: estimator.write_choices(choices) @@ -130,7 +132,7 @@ def joint_tour_frequency( # we expect there to be an alt with no tours - which we can use to backfill non-travelers no_tours_alt = (alternatives.sum(axis=1) == 0).index[0] households["joint_tour_frequency"] = ( - choices.reindex(households.index).fillna(no_tours_alt).astype(str) + choices.reindex(households.index).fillna(no_tours_alt) ) households["num_hh_joint_tours"] = ( diff --git a/activitysim/abm/models/joint_tour_participation.py b/activitysim/abm/models/joint_tour_participation.py index 066ef703c..f61fe66a5 100644 --- a/activitysim/abm/models/joint_tour_participation.py +++ b/activitysim/abm/models/joint_tour_participation.py @@ -90,7 +90,7 @@ def get_tour_satisfaction(candidates, participate): x = ( candidates[cols] - .groupby(["tour_id", "composition"]) + .groupby(["tour_id", "composition"], observed=True) .agg( participants=("adult", "size"), adults=("adult", "sum"), diff --git a/activitysim/abm/models/mandatory_tour_frequency.py b/activitysim/abm/models/mandatory_tour_frequency.py index 804b3c3d4..550550810 100644 --- a/activitysim/abm/models/mandatory_tour_frequency.py +++ b/activitysim/abm/models/mandatory_tour_frequency.py @@ -147,7 +147,7 @@ def mandatory_tour_frequency( # need to reindex as we only handled persons with cdap_activity == 'M' persons["mandatory_tour_frequency"] = ( - choices.reindex(persons.index).fillna("").astype(str) + choices.reindex(persons.index).fillna("") ) expressions.assign_columns( diff --git a/activitysim/abm/models/stop_frequency.py b/activitysim/abm/models/stop_frequency.py index 484a93cb1..d28c1f62c 100644 --- a/activitysim/abm/models/stop_frequency.py +++ b/activitysim/abm/models/stop_frequency.py @@ -167,6 +167,8 @@ def stop_frequency( # convert indexes to alternative names choices = pd.Series(segment_spec.columns[choices.values], index=choices.index) + cat_type = pd.api.types.CategoricalDtype(segment_spec.columns.tolist(), ordered=False) + choices = choices.astype(cat_type) if estimator: estimator.write_choices(choices) diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py index d2feb66a9..9bb39356a 100644 --- a/activitysim/abm/models/tour_mode_choice.py +++ b/activitysim/abm/models/tour_mode_choice.py @@ -69,12 +69,15 @@ def create_logsum_trips( pandas.DataFrame Table of trips: 2 per tour, with O/D and purpose inherited from tour """ + stop_freq_cat_type = pd.api.types.CategoricalDtype(["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False) stop_frequency_alts = state.get_injectable("stop_frequency_alts") stop_freq = "0out_0in" # no intermediate stops tours["stop_frequency"] = stop_freq + tours["stop_frequency"] = tours["stop_frequency"].astype(stop_freq_cat_type) tours["primary_purpose"] = tours["tour_purpose"] trips = trip.initialize_from_tours(state, tours, stop_frequency_alts) trips["stop_frequency"] = stop_freq + outbound = trips["outbound"] trips["depart"] = reindex(tours.start, trips.tour_id) trips.loc[~outbound, "depart"] = reindex(tours.end, trips.loc[~outbound, "tour_id"]) @@ -86,10 +89,12 @@ def create_logsum_trips( state, model_settings, segment_name, trace_label ) + mode_cat_type = pd.api.types.CategoricalDtype(tour_mode_alts + [""], ordered=False) # repeat rows from the trips table iterating over tour mode logsum_trips = pd.DataFrame() for tour_mode in tour_mode_alts: trips["tour_mode"] = tour_mode + trips["tour_mode"] = trips["tour_mode"].astype(mode_cat_type) logsum_trips = pd.concat((logsum_trips, trips), ignore_index=True) assert len(logsum_trips) == len(trips) * len(tour_mode_alts) logsum_trips.index.name = "trip_id" diff --git a/activitysim/abm/models/trip_purpose.py b/activitysim/abm/models/trip_purpose.py index 7af387e21..d4edd7bd1 100644 --- a/activitysim/abm/models/trip_purpose.py +++ b/activitysim/abm/models/trip_purpose.py @@ -163,6 +163,7 @@ def choose_intermediate_trip_purpose( state.tracing.trace_df(rands, "%s.rands" % trace_label, columns=[None, "rand"]) choices = choices.map(pd.Series(purpose_cols)) + choices = choices.astype(trips["primary_purpose"].dtype) return choices @@ -210,14 +211,17 @@ def run_trip_purpose(state: workflow.State, trips_df, estimator, trace_label): # - last trip of outbound tour gets primary_purpose last_trip = trips_df.trip_num == trips_df.trip_count purpose = trips_df.primary_purpose[last_trip & trips_df.outbound] + print(purpose.value_counts(dropna = False)) result_list.append(purpose) logger.info("assign purpose to %s last outbound trips", purpose.shape[0]) # - last trip of inbound tour gets home (or work for atwork subtours) purpose = trips_df.primary_purpose[last_trip & ~trips_df.outbound] + print(purpose.value_counts(dropna = False)) purpose = pd.Series( np.where(purpose == "atwork", "work", "home"), index=purpose.index - ) + ).astype(trips_df.primary_purpose.dtype) + print(purpose.value_counts(dropna = False)) result_list.append(purpose) logger.info("assign purpose to %s last inbound trips", purpose.shape[0]) @@ -255,7 +259,7 @@ def run_trip_purpose(state: workflow.State, trips_df, estimator, trace_label): trace_label=chunk_trace_label, chunk_sizer=chunk_sizer, ) - + print(choices.value_counts(dropna = False)) result_list.append(choices) chunk_sizer.log_df(trace_label, f"result_list", result_list) diff --git a/activitysim/abm/models/util/mode.py b/activitysim/abm/models/util/mode.py index 8a75ae8b6..254f3fdb3 100644 --- a/activitysim/abm/models/util/mode.py +++ b/activitysim/abm/models/util/mode.py @@ -83,6 +83,8 @@ def mode_choice_simulate( choices[mode_column_name] = choices[mode_column_name].map( dict(list(zip(list(range(len(alts))), alts))) ) + cat_type = pd.api.types.CategoricalDtype(alts.tolist() + [""], ordered=False) + choices[mode_column_name] = choices[mode_column_name].astype(cat_type) return choices @@ -131,8 +133,9 @@ def run_tour_mode_choice_simulate( assert ("in_period" not in choosers) and ("out_period" not in choosers) in_time = skims["in_time_col_name"] out_time = skims["out_time_col_name"] - choosers["in_period"] = network_los.skim_time_period_label(choosers[in_time]) - choosers["out_period"] = network_los.skim_time_period_label(choosers[out_time]) + time_cat_type = pd.api.types.CategoricalDtype(list(set(network_los.skim_time_periods["labels"])), ordered=False) + choosers["in_period"] = network_los.skim_time_period_label(choosers[in_time]).astype(time_cat_type) + choosers["out_period"] = network_los.skim_time_period_label(choosers[out_time]).astype(time_cat_type) expressions.annotate_preprocessors( state, choosers, locals_dict, skims, model_settings, trace_label diff --git a/activitysim/abm/models/util/tour_frequency.py b/activitysim/abm/models/util/tour_frequency.py index 0a6241a15..7ba275fa9 100644 --- a/activitysim/abm/models/util/tour_frequency.py +++ b/activitysim/abm/models/util/tour_frequency.py @@ -57,7 +57,7 @@ def create_tours(tour_counts, tour_category, parent_col="person_id"): # reformat with the columns given below tours = tour_counts.stack().reset_index() tours.columns = [parent_col, "tour_type", "tour_type_count"] - cat_tour_type = pd.api.types.CategoricalDtype(["work","school","univ","escort","eatout","shopping","social","othmaint","othdiscr", "eat", "business","maint", "atwork"], ordered=False) + cat_tour_type = pd.api.types.CategoricalDtype(["work","school","univ","escort","eatout","shopping","social","othmaint","othdiscr", "eat", "business","maint", "atwork", "home"], ordered=False) tours["tour_type"] = tours["tour_type"].astype(cat_tour_type) """ @@ -697,6 +697,8 @@ def create_joint_tours( tours_purp.columns = [parent_col, "tour_id_temp", "tour_type"] tours_purp["tour_id_temp"] = range(1, 1 + len(tours_purp)) tours_purp["tour_type"] = tours_purp["tour_type"].map(tour_type_dict) + cat_tour_type = pd.api.types.CategoricalDtype(["work","school","univ","escort","eatout","shopping","social","othmaint","othdiscr", "eat", "business","maint", "atwork", "home"], ordered=False) + tours_purp["tour_type"] = tours_purp["tour_type"].astype(cat_tour_type) """ tour_id_temp tour_type @@ -715,6 +717,8 @@ def create_joint_tours( tours_comp.columns = [parent_col, "tour_id_temp", "composition"] tours_comp["tour_id_temp"] = range(1, 1 + len(tours_comp)) tours_comp["composition"] = tours_comp["composition"].map(tour_comp_dict) + cat_tour_comp = pd.api.types.CategoricalDtype(["adults","children","mixed"], ordered=False) + tours_comp["composition"] = tours_comp["composition"].astype(cat_tour_comp) """ tour_id_temp tour_composition @@ -756,6 +760,8 @@ def create_joint_tours( # set these here to ensure consistency across different tour categories assert tour_category in ["mandatory", "non_mandatory", "atwork", "joint"] tours["tour_category"] = tour_category + cat_tour_category = pd.api.types.CategoricalDtype(["mandatory","joint","non_mandatory","atwork"], ordered=False) + tours["tour_category"] = tours["tour_category"].astype(cat_tour_category) # for joint tours, the correct number will be filled in after participation step tours["number_of_participants"] = 1 diff --git a/activitysim/abm/models/util/trip.py b/activitysim/abm/models/util/trip.py index 36a676e17..6fcc4010b 100644 --- a/activitysim/abm/models/util/trip.py +++ b/activitysim/abm/models/util/trip.py @@ -168,6 +168,7 @@ def initialize_from_tours( """ OUTBOUND_ALT = "out" + direction_cat_type = pd.api.types.CategoricalDtype(["out","in"], ordered=False) assert OUTBOUND_ALT in stop_frequency_alts.columns # get the actual alternatives for each person - have to go back to the diff --git a/activitysim/abm/models/util/vectorize_tour_scheduling.py b/activitysim/abm/models/util/vectorize_tour_scheduling.py index 775d84b7b..2bda3d502 100644 --- a/activitysim/abm/models/util/vectorize_tour_scheduling.py +++ b/activitysim/abm/models/util/vectorize_tour_scheduling.py @@ -189,6 +189,8 @@ def dedupe_alt_tdd(state: workflow.State, alt_tdd, tour_purpose, trace_label): state, tracing.extend_trace_label(trace_label, "dedupe_alt_tdd") ) as chunk_sizer: if tdd_segments is not None: + tdd_segments["time_period"] = tdd_segments["time_period"].astype(alt_tdd["out_period"].dtype) + dedupe_columns = ["out_period", "in_period"] # tdd_alt_segments is optionally segmented by tour purpose @@ -331,8 +333,9 @@ def compute_tour_scheduling_logsums( # FIXME:MEMORY # These two lines each generate a massive array of strings, # using a bunch of RAM and slowing things down. - alt_tdd["out_period"] = network_los.skim_time_period_label(alt_tdd["start"]) - alt_tdd["in_period"] = network_los.skim_time_period_label(alt_tdd["end"]) + time_cat_type = pd.api.types.CategoricalDtype(list(set(network_los.skim_time_periods["labels"])), ordered=False) + alt_tdd["out_period"] = network_los.skim_time_period_label(alt_tdd["start"]).astype(time_cat_type) + alt_tdd["in_period"] = network_los.skim_time_period_label(alt_tdd["end"]).astype(time_cat_type) alt_tdd["duration"] = alt_tdd["end"] - alt_tdd["start"] diff --git a/activitysim/core/util.py b/activitysim/core/util.py index e56460f43..20fa7e86a 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -351,6 +351,9 @@ def assign_in_place(df, df2): "assign_in_place changed dtype %s of column %s to %s" % (old_dtype, c, df[c].dtype) ) + + if isinstance(old_dtype, pd.api.types.CategoricalDtype): + continue # if both df and df2 column were ints, but result is not if ( From c128447561a08879887cf64215882cae0d5036ec Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Tue, 25 Jul 2023 11:02:38 -0400 Subject: [PATCH 03/41] telecommute freq string --- activitysim/abm/models/telecommute_frequency.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/activitysim/abm/models/telecommute_frequency.py b/activitysim/abm/models/telecommute_frequency.py index 8629909aa..7e7dcd00e 100755 --- a/activitysim/abm/models/telecommute_frequency.py +++ b/activitysim/abm/models/telecommute_frequency.py @@ -86,6 +86,8 @@ def telecommute_frequency( ) choices = pd.Series(model_spec.columns[choices.values], index=choices.index) + telecommute_frequency_cat = pd.api.types.CategoricalDtype(["", "No_Telecommute","1_day_week","2_3_days_week","4_days_week"], ordered=False) + choices = choices.astype(telecommute_frequency_cat) if estimator: estimator.write_choices(choices) @@ -96,7 +98,7 @@ def telecommute_frequency( estimator.end_estimation() persons["telecommute_frequency"] = ( - choices.reindex(persons.index).fillna("").astype(str) + choices.reindex(persons.index).fillna("") ) state.add_table("persons", persons) From 93c427f8766919a1fc374c95e9cf24a75ac4801f Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Tue, 25 Jul 2023 11:02:54 -0400 Subject: [PATCH 04/41] vehicle type strings --- activitysim/abm/models/vehicle_type_choice.py | 22 ++++++++++++++++++- 1 file changed, 21 insertions(+), 1 deletion(-) diff --git a/activitysim/abm/models/vehicle_type_choice.py b/activitysim/abm/models/vehicle_type_choice.py index c674ed62b..a9b4528b7 100644 --- a/activitysim/abm/models/vehicle_type_choice.py +++ b/activitysim/abm/models/vehicle_type_choice.py @@ -231,7 +231,7 @@ def construct_model_alternatives( else: # eliminate alternatives if no vehicle type data alts_wide = alts_wide[alts_wide._merge != "left_only"] - alts_wide.drop(columns="_merge", inplace=True) + alts_wide.drop(columns="_merge", inplace=True) # if this happens, alt_wide length will not match alt_long # converting age to integer to allow interactions in utilities alts_wide["age"] = alts_wide["age"].astype(int) @@ -341,6 +341,8 @@ def iterate_vehicle_type_choice( else: vehicle_type_data = None + # initialize categorical type for vehicle_type + vehicle_type_cat = "category" # - Preparing alternatives # create alts on-the-fly as cartesian product of categorical values if alts_cats_dict: @@ -348,11 +350,25 @@ def iterate_vehicle_type_choice( alts_wide, alts_long = construct_model_alternatives( state, model_settings, alts_cats_dict, vehicle_type_data ) + # convert alternative names to categoricals + # body_type, fuel_type, vehicle_type + # age should be a int becuase it is used as a numeric value in utilities + body_type_cat = pd.api.types.CategoricalDtype(alts_cats_dict["body_type"], ordered = False) + fuel_type_cat = pd.api.types.CategoricalDtype(alts_cats_dict["fuel_type"], ordered = False) + vehicle_type_cat = pd.api.types.CategoricalDtype(list(set(alts_wide["vehicle_type"])) + [""], ordered = False) + + alts_wide["body_type"] = alts_wide["body_type"].astype(body_type_cat) + alts_wide["fuel_type"] = alts_wide["fuel_type"].astype(fuel_type_cat) + alts_wide["vehicle_type"] = alts_wide["vehicle_type"].astype(vehicle_type_cat) else: alts_wide = alts_long = None + alts = model_spec.columns + vehicle_type_cat = pd.api.types.CategoricalDtype(list(set(alts)) + [""], ordered = False) + # - preparing choosers for iterating vehicles_merged["already_owned_veh"] = "" + vehicles_merged["already_owned_veh"] = vehicles_merged["already_owned_veh"].astype(vehicle_type_cat) logger.info("Running %s with %d vehicles", trace_label, len(vehicles_merged)) all_choosers = [] all_choices = [] @@ -450,6 +466,9 @@ def iterate_vehicle_type_choice( state, choices, model_settings, trace_label ) + # convert vehicle_type to categorical + choices["vehicle_type"] = choices["vehicle_type"].astype(vehicle_type_cat) + vehicles_merged.loc[choices.index, "already_owned_veh"] = choices[ "vehicle_type" ] @@ -464,6 +483,7 @@ def iterate_vehicle_type_choice( additional_cols = model_settings.get("COLS_TO_INCLUDE_IN_VEHICLE_TABLE") if additional_cols: additional_cols.append("vehicle_type") + vehicle_type_data["vehicle_type"] = vehicle_type_data["vehicle_type"].astype(vehicle_type_cat) all_choices = ( all_choices.reset_index() .merge(vehicle_type_data[additional_cols], how="left", on="vehicle_type") From e91a11508dc18afe729b5c7c62e4ef18be446adc Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Tue, 25 Jul 2023 12:44:23 -0400 Subject: [PATCH 05/41] categorical is not recognized by numpy --- activitysim/core/assign.py | 26 +++++++++++++++----------- 1 file changed, 15 insertions(+), 11 deletions(-) diff --git a/activitysim/core/assign.py b/activitysim/core/assign.py index d504d6378..d50a174dc 100644 --- a/activitysim/core/assign.py +++ b/activitysim/core/assign.py @@ -358,17 +358,21 @@ def rng_lognormal(random_draws, mu, sigma, broadcast=True, scale=False): globals_dict = {} expr_values = to_series(eval(expression, globals_dict, _locals_dict)) - if ( - sharrow_enabled - and np.issubdtype(expr_values.dtype, np.floating) - and expr_values.dtype.itemsize < 4 - ): - # promote to float32, numba is not presently compatible with - # any float less than 32 (i.e., float16) - # see https://github.com/numba/numba/issues/4402 - # note this only applies to floats, signed and unsigned - # integers are readily supported down to 1 byte - expr_values = expr_values.astype(np.float32) + if sharrow_enabled: + if isinstance(expr_values.dtype, pd.api.types.CategoricalDtype): + None + elif( + np.issubdtype(expr_values.dtype, np.floating) + and expr_values.dtype.itemsize < 4 + ): + # promote to float32, numba is not presently compatible with + # any float less than 32 (i.e., float16) + # see https://github.com/numba/numba/issues/4402 + # note this only applies to floats, signed and unsigned + # integers are readily supported down to 1 byte + expr_values = expr_values.astype(np.float32) + else: + None np.seterr(**save_err) np.seterrcall(saved_handler) From 0de0043ff9e005343b83db048f1328f9531f1dec Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Tue, 25 Jul 2023 12:44:54 -0400 Subject: [PATCH 06/41] df info verbose --- activitysim/core/interaction_simulate.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/activitysim/core/interaction_simulate.py b/activitysim/core/interaction_simulate.py index cb6ae01aa..3d7bf0690 100644 --- a/activitysim/core/interaction_simulate.py +++ b/activitysim/core/interaction_simulate.py @@ -83,7 +83,7 @@ def eval_interaction_utilities( logger.info("Writing out interaction df info") buffer = io.StringIO() - df.info(memory_usage = 'deep', buf=buffer) + df.info(memory_usage = 'deep', buf=buffer, verbose=True, show_counts=True) s = buffer.getvalue() with open(os.path.join(state.filesystem.output_dir, trace_label+".interaction_df.info.txt"), "w", encoding="utf-8") as f: f.write(s) From 224474c0d93bb3b357374a83a8bb659e4be2598b Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 2 Aug 2023 12:44:36 -0400 Subject: [PATCH 07/41] categoricals for school escorting --- activitysim/abm/models/school_escorting.py | 9 +++++++++ .../abm/models/util/school_escort_tours_trips.py | 14 ++++++++++++++ 2 files changed, 23 insertions(+) diff --git a/activitysim/abm/models/school_escorting.py b/activitysim/abm/models/school_escorting.py index 9c1e438dc..7ca546f5f 100644 --- a/activitysim/abm/models/school_escorting.py +++ b/activitysim/abm/models/school_escorting.py @@ -219,6 +219,10 @@ def create_school_escorting_bundles_table(choosers, tours, stage): ) bundles["bundle_num"] = bundles.groupby("household_id").cumcount() + 1 + # school escorting direction category + escort_direction_cat = pd.api.types.CategoricalDtype(["outbound","inbound"], ordered=False) + bundles["school_escort_direction"] = bundles["school_escort_direction"].astype(escort_direction_cat) + # initialize values bundles["chauf_type_num"] = 0 @@ -284,9 +288,11 @@ def create_school_escorting_bundles_table(choosers, tours, stage): # odd chauf_type_num means ride share, even means pure escort # this comes from the way the alternatives file is constructed where chauf_id is # incremented for each possible chauffeur and for each tour type + escort_type_cat = pd.api.types.CategoricalDtype(["pure_escort","ride_share"], ordered = False) bundles["escort_type"] = np.where( bundles["chauf_type_num"].mod(2) == 1, "ride_share", "pure_escort" ) + bundles["escort_type"] = bundles["escort_type"].astype(escort_type_cat) # This is just pulled from the pre-processor. Will break if removed or renamed in pre-processor # I think this is still a better implmentation than re-calculating here... @@ -527,6 +533,9 @@ def school_escorting( escort_bundles ) + school_escort_trips["primary_purpose"] = school_escort_trips["primary_purpose"].astype(state.get_dataframe("tours")["tour_type"].dtype) + school_escort_trips["purpose"] = school_escort_trips["purpose"].astype(state.get_dataframe("tours")["tour_type"].dtype) + # update pipeline state.add_table("households", households) state.add_table("tours", tours) diff --git a/activitysim/abm/models/util/school_escort_tours_trips.py b/activitysim/abm/models/util/school_escort_tours_trips.py index 64101c45e..1245d7b6e 100644 --- a/activitysim/abm/models/util/school_escort_tours_trips.py +++ b/activitysim/abm/models/util/school_escort_tours_trips.py @@ -314,6 +314,12 @@ def add_pure_escort_tours(tours, school_escort_tours): def add_school_escorting_type_to_tours_table(escort_bundles, tours): school_tour = (tours.tour_type == "school") & (tours.tour_num == 1) + + escort_type_cat = pd.api.types.CategoricalDtype(["pure_escort","ride_share"], ordered = False) + tours["school_esc_outbound"] = pd.NA + tours["school_esc_inbound"] = pd.NA + tours["school_esc_outbound"] = tours["school_esc_outbound"].astype(escort_type_cat) + tours["school_esc_inbound"] = tours["school_esc_inbound"].astype(escort_type_cat) for school_escort_direction in ["outbound", "inbound"]: for escort_type in ["ride_share", "pure_escort"]: @@ -466,6 +472,10 @@ def merge_school_escort_trips_into_pipeline(state: workflow.State): trips["origin"] = trips["origin"].astype(int) trips["destination"] = trips["destination"].astype(int) + # converting to categoricals + trips["school_escort_direction"] = trips["school_escort_direction"].astype("category") + trips["escort_participants"] = trips["escort_participants"].astype("category") + # updating trip_id now that we have all trips trips = canonical_ids.set_trip_index(state, trips) school_escort_trip_id_map = { @@ -554,8 +564,12 @@ def create_pure_school_escort_tours(state: workflow.State, bundles): pe_tours["person_id"] = pe_tours["chauf_id"] pe_tours["tour_category"] = "non_mandatory" + # convert tour category to categorical + pe_tours["tour_category"] = pe_tours["tour_category"].astype(state.get_dataframe("tours").tour_category.dtype) pe_tours["number_of_participants"] = 1 pe_tours["tour_type"] = "escort" + # convert tour type to categorical + pe_tours["tour_type"] = pe_tours["tour_type"].astype(state.get_dataframe("tours").tour_type.dtype) pe_tours["school_esc_outbound"] = np.where( pe_tours["school_escort_direction"] == "outbound", "pure_escort", pd.NA ) From 575ef45ea7fa6f495f19cc17aedbaa209f8f4cae Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 2 Aug 2023 12:45:02 -0400 Subject: [PATCH 08/41] categoricals for vehicle allocation --- activitysim/abm/models/vehicle_allocation.py | 1 + 1 file changed, 1 insertion(+) diff --git a/activitysim/abm/models/vehicle_allocation.py b/activitysim/abm/models/vehicle_allocation.py index 372ed464d..16a35d0a1 100644 --- a/activitysim/abm/models/vehicle_allocation.py +++ b/activitysim/abm/models/vehicle_allocation.py @@ -225,6 +225,7 @@ def vehicle_allocation( # creating a column for choice of each occupancy level tours_veh_occup_col = f"vehicle_occup_{occup}" tours[tours_veh_occup_col] = choices["choice"] + tours[tours_veh_occup_col] = tours[tours_veh_occup_col].astype("category") tours_veh_occup_cols.append(tours_veh_occup_col) if estimator: From ef6fbbf9f6c3609ab49fb5fec612910e5b1f973e Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 2 Aug 2023 13:21:27 -0400 Subject: [PATCH 09/41] add condition for pandas categoricals --- activitysim/abm/models/trip_destination.py | 21 +++++++++++++++++++-- 1 file changed, 19 insertions(+), 2 deletions(-) diff --git a/activitysim/abm/models/trip_destination.py b/activitysim/abm/models/trip_destination.py index 00e3f467c..28459073a 100644 --- a/activitysim/abm/models/trip_destination.py +++ b/activitysim/abm/models/trip_destination.py @@ -849,11 +849,18 @@ def trip_destination_simulate( skims = skim_hotel.sample_skims(presample=False) - if not np.issubdtype(trips["trip_period"].dtype, np.integer): + if isinstance(trips["trip_period"].dtype, pd.api.types.CategoricalDtype): if hasattr(skims["odt_skims"], "map_time_periods"): trip_period_idx = skims["odt_skims"].map_time_periods(trips) if trip_period_idx is not None: trips["trip_period"] = trip_period_idx + elif not np.issubdtype(trips["trip_period"].dtype, np.integer): + if hasattr(skims["odt_skims"], "map_time_periods"): + trip_period_idx = skims["odt_skims"].map_time_periods(trips) + if trip_period_idx is not None: + trips["trip_period"] = trip_period_idx + else: + None locals_dict = config.get_model_constants(model_settings).copy() locals_dict.update( @@ -1287,7 +1294,15 @@ def run_trip_destination( trace_label=nth_trace_label, ) - if not np.issubdtype(nth_trips["trip_period"].dtype, np.integer): + if isinstance(nth_trips["trip_period"].dtype, pd.api.types.CategoricalDtype): + skims = network_los.get_default_skim_dict() + if hasattr(skims, "map_time_periods_from_series"): + trip_period_idx = skims.map_time_periods_from_series( + nth_trips["trip_period"] + ) + if trip_period_idx is not None: + nth_trips["trip_period"] = trip_period_idx + elif not np.issubdtype(nth_trips["trip_period"].dtype, np.integer): skims = network_los.get_default_skim_dict() if hasattr(skims, "map_time_periods_from_series"): trip_period_idx = skims.map_time_periods_from_series( @@ -1295,6 +1310,8 @@ def run_trip_destination( ) if trip_period_idx is not None: nth_trips["trip_period"] = trip_period_idx + else: + None logger.info("Running %s with %d trips", nth_trace_label, nth_trips.shape[0]) From 9a582daaf30eb51167330729bb7e482d8444d95a Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 2 Aug 2023 13:22:09 -0400 Subject: [PATCH 10/41] adhoc string variables to categoricals --- activitysim/core/util.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/activitysim/core/util.py b/activitysim/core/util.py index 20fa7e86a..5cfc08fe2 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -374,6 +374,10 @@ def assign_in_place(df, df2): df[new_columns] = df2[new_columns] + for c in new_columns: + if pd.api.types.is_object_dtype(df[c]): + df[c] = df[c].astype("category") + def df_from_dict(values, index=None): From fabd596a1c18ca94f9f47efb73d98b7b629eda5c Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Mon, 21 Aug 2023 22:01:09 -0400 Subject: [PATCH 11/41] auto downcast for interim variables --- activitysim/core/assign.py | 2 ++ activitysim/core/util.py | 72 ++++++++++++++++++++++++++++++++++++-- 2 files changed, 72 insertions(+), 2 deletions(-) diff --git a/activitysim/core/assign.py b/activitysim/core/assign.py index d50a174dc..75f61ae63 100644 --- a/activitysim/core/assign.py +++ b/activitysim/core/assign.py @@ -423,4 +423,6 @@ def rng_lognormal(random_draws, mu, sigma, broadcast=True, scale=False): # we stored result in dict - convert to df variables = util.df_from_dict(variables, index=df.index) + util.auto_opt_pd_dtypes(variables, inplace=True) + return variables, trace_results, trace_assigned_locals diff --git a/activitysim/core/util.py b/activitysim/core/util.py index 5cfc08fe2..df3eabe53 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -20,6 +20,9 @@ import pyarrow.csv as csv import pyarrow.parquet as pq import yaml +import numbers + +from typing import Optional logger = logging.getLogger(__name__) @@ -313,7 +316,7 @@ def quick_loc_series(loc_list, target_series): return df.right -def assign_in_place(df, df2): +def assign_in_place(df, df2, downcast_float=False): """ update existing row values in df from df2, adding columns to df if they are not there @@ -323,6 +326,8 @@ def assign_in_place(df, df2): assignment left-hand-side (dest) df2: pd.DataFrame assignment right-hand-side (source) + downcast_float: bool + if True, downcast float columns if possible Returns ------- @@ -377,7 +382,70 @@ def assign_in_place(df, df2): for c in new_columns: if pd.api.types.is_object_dtype(df[c]): df[c] = df[c].astype("category") - + + auto_opt_pd_dtypes(df, downcast_float, inplace=True) + + +def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) -> Optional[pd.DataFrame]: + """ + Automatically downcast Number dtypes for minimal possible, + will not touch other (datetime, str, object, etc) + + Parameters + ---------- + df_ : pd.DataFrame + assignment left-hand-side (dest) + downcast_float: bool + if True, downcast float columns if possible + inplace: bool + if False, will return a copy of input dataset + + Returns + ------- + `None` if `inplace=True` or dataframe if `inplace=False` + + """ + df = df_ if inplace else df_.copy() + + for col in df.columns: + dtype = df[col].dtype + if "density" in col: + None + # Skip optimizing floats for precision concerns + if pd.api.types.is_float_dtype(dtype): + if not downcast_float: + continue + else: + # there is a bug in pandas to_numeric + # when convert int and floats gt 16777216 + # https://github.com/pandas-dev/pandas/issues/43693 + # https://github.com/pandas-dev/pandas/issues/23676#issuecomment-438488603 + if df[col].max() >= 16777216: + continue + else: + df[col] = pd.to_numeric(df[col], downcast='float') + # Skip if the column is already categorical + if pd.api.types.is_categorical_dtype(dtype): + continue + # Handle integer types + if pd.api.types.is_integer_dtype(dtype): + # there is a bug in pandas to_numeric + # when convert int and floats gt 16777216 + # https://github.com/pandas-dev/pandas/issues/43693 + # https://github.com/pandas-dev/pandas/issues/23676#issuecomment-438488603 + if df[col].max() >= 16777216: + continue + # else: + # df[col] = pd.to_numeric(df[col], downcast='integer') + # continue + if df[col].min() >= 0: + df[col] = pd.to_numeric(df[col], downcast='unsigned') + else: + df[col] = pd.to_numeric(df[col], downcast='integer') + + if not inplace: + return df + def df_from_dict(values, index=None): From 44538775c9adffa5d46828549e88823223991296 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Mon, 21 Aug 2023 22:07:45 -0400 Subject: [PATCH 12/41] not use unsigned int --- activitysim/core/util.py | 12 +++++++----- 1 file changed, 7 insertions(+), 5 deletions(-) diff --git a/activitysim/core/util.py b/activitysim/core/util.py index df3eabe53..36017e96b 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -435,13 +435,15 @@ def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) - # https://github.com/pandas-dev/pandas/issues/23676#issuecomment-438488603 if df[col].max() >= 16777216: continue - # else: - # df[col] = pd.to_numeric(df[col], downcast='integer') - # continue - if df[col].min() >= 0: - df[col] = pd.to_numeric(df[col], downcast='unsigned') else: df[col] = pd.to_numeric(df[col], downcast='integer') + continue + # there are calcualtions in asim that expect results in negative values + # operations on two unsigned types will not produce negative values + # if df[col].min() >= 0: + # df[col] = pd.to_numeric(df[col], downcast='unsigned') + # else: + # df[col] = pd.to_numeric(df[col], downcast='integer') if not inplace: return df From 6f64dd2ea013fb0247017a74afe726160e2aaca5 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Mon, 21 Aug 2023 22:08:39 -0400 Subject: [PATCH 13/41] numeric overflow on chaperone weights --- activitysim/abm/models/school_escorting.py | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/activitysim/abm/models/school_escorting.py b/activitysim/abm/models/school_escorting.py index 7ca546f5f..60be8f8f5 100644 --- a/activitysim/abm/models/school_escorting.py +++ b/activitysim/abm/models/school_escorting.py @@ -64,9 +64,9 @@ def determine_escorting_participants(choosers, persons, model_settings): ] chaperones["chaperone_weight"] = ( - (persontype_weight * chaperones[ptype_col]) - + (gender_weight * np.where(chaperones[sex_col] == 1, 1, 2)) - + (age_weight * np.where(chaperones[age_col] > 25, 1, 0)) + (persontype_weight * chaperones[ptype_col].astype("int64")) + + (gender_weight * np.where(chaperones[sex_col].astype("int64") == 1, 1, 2)) + + (age_weight * np.where(chaperones[age_col].astype("int64") > 25, 1, 0)) ) chaperones["chaperone_num"] = ( From e4206338ec261bca04cd5d2c06603679c4abf201 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Mon, 21 Aug 2023 22:09:17 -0400 Subject: [PATCH 14/41] numeric overflow in veh type preprocessor --- .../vehicle_type_choice_annotate_choosers_preprocessor.csv | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/activitysim/examples/prototype_mtc_extended/configs/vehicle_type_choice_annotate_choosers_preprocessor.csv b/activitysim/examples/prototype_mtc_extended/configs/vehicle_type_choice_annotate_choosers_preprocessor.csv index d0a98ff3c..c190f781f 100644 --- a/activitysim/examples/prototype_mtc_extended/configs/vehicle_type_choice_annotate_choosers_preprocessor.csv +++ b/activitysim/examples/prototype_mtc_extended/configs/vehicle_type_choice_annotate_choosers_preprocessor.csv @@ -1,6 +1,6 @@ Description,Target,Expression total household distance to work,total_hh_dist_to_work,persons.groupby('household_id')['distance_to_work'].sum().reindex(df.household_id).fillna(0) -total household distance to work capped at 100 mi per worker,total_hh_dist_to_work_cap,"np.where(total_hh_dist_to_work > (100*df.num_workers.values), 100*df.num_workers.values, total_hh_dist_to_work)" +total household distance to work capped at 100 mi per worker,total_hh_dist_to_work_cap,"np.where(total_hh_dist_to_work > (100*df.num_workers.astype('int64').values), 100*df.num_workers.astype('int64').values, total_hh_dist_to_work)" average household distance to work,avg_hh_dist_to_work,persons.groupby('household_id')['distance_to_work'].mean().reindex(df.household_id).fillna(0) household density per square mile,hh_per_mi,(df.TOTHH.values / df.TOTACRE.values) * 640 number of vehicles is greater than the number of drivers,hh_veh_gt_drivers,"np.where(df.auto_ownership > df.num_drivers, 1, 0)" From 5c7ee3432dcd9d374e060fde9e7845298252a6f1 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Mon, 21 Aug 2023 22:09:55 -0400 Subject: [PATCH 15/41] downcast tour variables in source code --- .../abm/models/util/school_escort_tours_trips.py | 6 ++++++ activitysim/abm/models/util/tour_frequency.py | 14 ++++++++++++++ 2 files changed, 20 insertions(+) diff --git a/activitysim/abm/models/util/school_escort_tours_trips.py b/activitysim/abm/models/util/school_escort_tours_trips.py index 1245d7b6e..f7bc2d05c 100644 --- a/activitysim/abm/models/util/school_escort_tours_trips.py +++ b/activitysim/abm/models/util/school_escort_tours_trips.py @@ -536,6 +536,12 @@ def recompute_tour_count_statistics(state: workflow.State): tours["tour_num"] = grouped.cumcount() + 1 tours["tour_count"] = tours["tour_num"] + grouped.cumcount(ascending=False) + # downcast + tours["tour_count"] = tours["tour_count"].astype("int8") + tours["tour_num"] = tours["tour_num"].astype("int8") + tours["tour_type_num"] = tours["tour_type_num"].astype("int8") + tours["tour_type_count"] = tours["tour_type_count"].astype("int8") + state.add_table("tours", tours) diff --git a/activitysim/abm/models/util/tour_frequency.py b/activitysim/abm/models/util/tour_frequency.py index 7ba275fa9..cc6b06ba9 100644 --- a/activitysim/abm/models/util/tour_frequency.py +++ b/activitysim/abm/models/util/tour_frequency.py @@ -110,6 +110,13 @@ def create_tours(tour_counts, tour_category, parent_col="person_id"): # index is arbitrary but don't want any duplicates in index tours.reset_index(drop=True, inplace=True) + # downcast + tours["tour_count"] = tours["tour_count"].astype("int8") + tours["tour_num"] = tours["tour_num"].astype("int8") + tours["tour_type_num"] = tours["tour_type_num"].astype("int8") + tours["tour_type_count"] = tours["tour_type_count"].astype("int8") + tours["number_of_participants"] = tours["number_of_participants"].astype("int8") + return tours @@ -769,4 +776,11 @@ def create_joint_tours( # index is arbitrary but don't want any duplicates in index tours.reset_index(drop=True, inplace=True) + # downcast + tours["tour_count"] = tours["tour_count"].astype("int8") + tours["tour_num"] = tours["tour_num"].astype("int8") + tours["tour_type_num"] = tours["tour_type_num"].astype("int8") + tours["tour_type_count"] = tours["tour_type_count"].astype("int8") + tours["number_of_participants"] = tours["number_of_participants"].astype("int8") + return tours From 282885dbe6075739a7d43a2a9e5c28063638079b Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Fri, 6 Oct 2023 13:33:15 -0400 Subject: [PATCH 16/41] condition the temps --- activitysim/core/assign.py | 3 ++- 1 file changed, 2 insertions(+), 1 deletion(-) diff --git a/activitysim/core/assign.py b/activitysim/core/assign.py index 75f61ae63..44a4c84d4 100644 --- a/activitysim/core/assign.py +++ b/activitysim/core/assign.py @@ -396,7 +396,8 @@ def rng_lognormal(random_draws, mu, sigma, broadcast=True, scale=False): # just keeping track of temps so we can chunk.log_df if is_temp(target): - temps[target] = expr_values + if chunk_log: + temps[target] = expr_values else: variables[target] = expr_values From e06bd7d08b302dd419a3dc4b52376cf811206ad8 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Fri, 6 Oct 2023 13:42:57 -0400 Subject: [PATCH 17/41] sort time period cat in tour scheduling --- .../abm/models/util/vectorize_tour_scheduling.py | 10 ++++++++-- 1 file changed, 8 insertions(+), 2 deletions(-) diff --git a/activitysim/abm/models/util/vectorize_tour_scheduling.py b/activitysim/abm/models/util/vectorize_tour_scheduling.py index 2bda3d502..ce93c8951 100644 --- a/activitysim/abm/models/util/vectorize_tour_scheduling.py +++ b/activitysim/abm/models/util/vectorize_tour_scheduling.py @@ -1,6 +1,7 @@ # ActivitySim # See full license in LICENSE.txt. from __future__ import annotations +from collections import OrderedDict import logging @@ -143,7 +144,9 @@ def _compute_logsums( if preprocessor_settings: simulate.set_skim_wrapper_targets(choosers, skims) - + logger.info( + f"{trace_label} start preprocessing prior to compute_logsums for {choosers.shape[0]} choosers {alt_tdd.shape[0]} alts" + ) expressions.assign_columns( state, df=choosers, @@ -151,6 +154,9 @@ def _compute_logsums( locals_dict=locals_dict, trace_label=trace_label, ) + logger.info( + f"{trace_label} end preprocessing prior to compute_logsums for {choosers.shape[0]} choosers {alt_tdd.shape[0]} alts" + ) # - compute logsums logsum_spec = state.filesystem.read_model_spec( @@ -333,7 +339,7 @@ def compute_tour_scheduling_logsums( # FIXME:MEMORY # These two lines each generate a massive array of strings, # using a bunch of RAM and slowing things down. - time_cat_type = pd.api.types.CategoricalDtype(list(set(network_los.skim_time_periods["labels"])), ordered=False) + time_cat_type = pd.api.types.CategoricalDtype(list(OrderedDict.fromkeys(network_los.skim_time_periods["labels"])), ordered=True) alt_tdd["out_period"] = network_los.skim_time_period_label(alt_tdd["start"]).astype(time_cat_type) alt_tdd["in_period"] = network_los.skim_time_period_label(alt_tdd["end"]).astype(time_cat_type) From 9018aa49e73b6740ae17d0d9a5aa437905a853cb Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Fri, 6 Oct 2023 13:43:34 -0400 Subject: [PATCH 18/41] add loggings --- activitysim/core/interaction_sample_simulate.py | 7 ++++++- activitysim/core/interaction_simulate.py | 2 ++ activitysim/core/util.py | 2 -- 3 files changed, 8 insertions(+), 3 deletions(-) diff --git a/activitysim/core/interaction_sample_simulate.py b/activitysim/core/interaction_sample_simulate.py index 274940b30..83910fe57 100644 --- a/activitysim/core/interaction_sample_simulate.py +++ b/activitysim/core/interaction_sample_simulate.py @@ -131,8 +131,13 @@ def _interaction_sample_simulate( # assert alternatives.index.name == choosers.index.name # asserting the index names are the same tells us nothing about the underlying data so why? - + logger.info( + f"{trace_label} start merging choosers and alternatives to create interaction_df" + ) interaction_df = alternatives.join(choosers, how="left", rsuffix="_chooser") + logger.info( + f"{trace_label} end merging choosers and alternatives to create interaction_df" + ) if log_alt_losers: # logit.interaction_dataset adds ALT_CHOOSER_ID column if log_alt_losers is True diff --git a/activitysim/core/interaction_simulate.py b/activitysim/core/interaction_simulate.py index 3d7bf0690..0b32f8dec 100644 --- a/activitysim/core/interaction_simulate.py +++ b/activitysim/core/interaction_simulate.py @@ -426,12 +426,14 @@ def to_series(x): # if sh_flow is not None and trace_rows is not None and trace_rows.any(): assert type(trace_rows) == np.ndarray + logger.info("sh_flow load dataarray") sh_utility_fat = sh_flow.load_dataarray( # sh_flow.tree.replace_datasets( # df=df.iloc[trace_rows], # ), dtype=np.float32, ) + logger.info("finish sh_flow load dataarray") sh_utility_fat = sh_utility_fat[trace_rows, :] sh_utility_fat = sh_utility_fat.to_dataframe("vals") try: diff --git a/activitysim/core/util.py b/activitysim/core/util.py index 36017e96b..42f63de1f 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -409,8 +409,6 @@ def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) - for col in df.columns: dtype = df[col].dtype - if "density" in col: - None # Skip optimizing floats for precision concerns if pd.api.types.is_float_dtype(dtype): if not downcast_float: From 7cffe4fb91f79b4541d7bbf18ba8f95004912835 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Fri, 6 Oct 2023 13:55:57 -0400 Subject: [PATCH 19/41] formatting --- .../abm/models/atwork_subtour_frequency.py | 14 +++-- .../abm/models/joint_tour_composition.py | 8 ++- .../abm/models/joint_tour_frequency.py | 31 +++++++++-- .../abm/models/mandatory_tour_frequency.py | 12 +++-- activitysim/abm/models/school_escorting.py | 20 +++++-- activitysim/abm/models/stop_frequency.py | 4 +- .../abm/models/telecommute_frequency.py | 9 ++-- activitysim/abm/models/tour_mode_choice.py | 6 ++- activitysim/abm/models/trip_destination.py | 8 ++- activitysim/abm/models/trip_mode_choice.py | 4 +- activitysim/abm/models/trip_purpose.py | 8 +-- activitysim/abm/models/util/mode.py | 12 +++-- .../models/util/school_escort_tours_trips.py | 18 +++++-- activitysim/abm/models/util/tour_frequency.py | 52 +++++++++++++++++-- activitysim/abm/models/util/trip.py | 2 +- .../models/util/vectorize_tour_scheduling.py | 17 ++++-- activitysim/abm/models/vehicle_type_choice.py | 29 ++++++++--- activitysim/core/assign.py | 2 +- .../core/interaction_sample_simulate.py | 8 +-- activitysim/core/interaction_simulate.py | 26 +++++++--- activitysim/core/util.py | 18 ++++--- 21 files changed, 231 insertions(+), 77 deletions(-) diff --git a/activitysim/abm/models/atwork_subtour_frequency.py b/activitysim/abm/models/atwork_subtour_frequency.py index ed856bbde..579223a4a 100644 --- a/activitysim/abm/models/atwork_subtour_frequency.py +++ b/activitysim/abm/models/atwork_subtour_frequency.py @@ -22,10 +22,15 @@ def add_null_results(state, trace_label, tours): logger.info("Skipping %s: add_null_results", trace_label) - cat_type = pd.api.types.CategoricalDtype(["", "no_subtours","eat","business1","maint","business2","eat_business"], ordered=False) + cat_type = pd.api.types.CategoricalDtype( + ["", "no_subtours", "eat", "business1", "maint", "business2", "eat_business"], + ordered=False, + ) choices = choices.astype(cat_type) tours["atwork_subtour_frequency"] = "" - tours["atwork_subtour_frequency"] = tours["atwork_subtour_frequency"].astype(cat_type) + tours["atwork_subtour_frequency"] = tours["atwork_subtour_frequency"].astype( + cat_type + ) state.add_table("tours", tours) @@ -103,7 +108,10 @@ def atwork_subtour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) - cat_type = pd.api.types.CategoricalDtype(["", "no_subtours","eat","business1","maint","business2","eat_business"], ordered=False) + cat_type = pd.api.types.CategoricalDtype( + ["", "no_subtours", "eat", "business1", "maint", "business2", "eat_business"], + ordered=False, + ) choices = choices.astype(cat_type) if estimator: diff --git a/activitysim/abm/models/joint_tour_composition.py b/activitysim/abm/models/joint_tour_composition.py index ac58c6e1f..4c576fad0 100644 --- a/activitysim/abm/models/joint_tour_composition.py +++ b/activitysim/abm/models/joint_tour_composition.py @@ -22,7 +22,9 @@ def add_null_results(state, trace_label, tours): logger.info("Skipping %s: add_null_results" % trace_label) tours["composition"] = "" - cat_type = pd.api.types.CategoricalDtype(["", "adults", "children", "mixed"], ordered=False) + cat_type = pd.api.types.CategoricalDtype( + ["", "adults", "children", "mixed"], ordered=False + ) tours["composition"] = tours["composition"].astype(cat_type) state.add_table("tours", tours) @@ -108,7 +110,9 @@ def joint_tour_composition( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) - cat_type = pd.api.types.CategoricalDtype(["", "adults", "children", "mixed"], ordered=False) + cat_type = pd.api.types.CategoricalDtype( + ["", "adults", "children", "mixed"], ordered=False + ) choices = choices.astype(cat_type) if estimator: diff --git a/activitysim/abm/models/joint_tour_frequency.py b/activitysim/abm/models/joint_tour_frequency.py index 819b18afb..6e25d481c 100644 --- a/activitysim/abm/models/joint_tour_frequency.py +++ b/activitysim/abm/models/joint_tour_frequency.py @@ -98,7 +98,32 @@ def joint_tour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) - cat_type = pd.api.types.CategoricalDtype(["0_tours","1_Shop","1_Main","1_Eat","1_Visit","1_Disc","2_SS","2_SM","2_SE","2_SV","2_SD","2_MM","2_ME","2_MV","2_MD","2_EE","2_EV","2_ED","2_VV","2_VD","2_DD"], ordered=False) + cat_type = pd.api.types.CategoricalDtype( + [ + "0_tours", + "1_Shop", + "1_Main", + "1_Eat", + "1_Visit", + "1_Disc", + "2_SS", + "2_SM", + "2_SE", + "2_SV", + "2_SD", + "2_MM", + "2_ME", + "2_MV", + "2_MD", + "2_EE", + "2_EV", + "2_ED", + "2_VV", + "2_VD", + "2_DD", + ], + ordered=False, + ) choices = choices.astype(cat_type) if estimator: @@ -131,8 +156,8 @@ def joint_tour_frequency( # we expect there to be an alt with no tours - which we can use to backfill non-travelers no_tours_alt = (alternatives.sum(axis=1) == 0).index[0] - households["joint_tour_frequency"] = ( - choices.reindex(households.index).fillna(no_tours_alt) + households["joint_tour_frequency"] = choices.reindex(households.index).fillna( + no_tours_alt ) households["num_hh_joint_tours"] = ( diff --git a/activitysim/abm/models/mandatory_tour_frequency.py b/activitysim/abm/models/mandatory_tour_frequency.py index 550550810..e7d686082 100644 --- a/activitysim/abm/models/mandatory_tour_frequency.py +++ b/activitysim/abm/models/mandatory_tour_frequency.py @@ -24,7 +24,9 @@ def add_null_results(state, trace_label, mandatory_tour_frequency_settings): persons = state.get_dataframe("persons") persons["mandatory_tour_frequency"] = pd.categorical( - "", categories=["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False + "", + categories=["", "work1", "work2", "school1", "school2", "work_and_school"], + ordered=False, ) tours = pd.DataFrame() @@ -112,7 +114,9 @@ def mandatory_tour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) - cat_type = pd.api.types.CategoricalDtype(["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False) + cat_type = pd.api.types.CategoricalDtype( + ["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False + ) choices = choices.astype(cat_type) if estimator: @@ -146,9 +150,7 @@ def mandatory_tour_frequency( persons = state.get_dataframe("persons") # need to reindex as we only handled persons with cdap_activity == 'M' - persons["mandatory_tour_frequency"] = ( - choices.reindex(persons.index).fillna("") - ) + persons["mandatory_tour_frequency"] = choices.reindex(persons.index).fillna("") expressions.assign_columns( state, diff --git a/activitysim/abm/models/school_escorting.py b/activitysim/abm/models/school_escorting.py index 60be8f8f5..8a4385e3c 100644 --- a/activitysim/abm/models/school_escorting.py +++ b/activitysim/abm/models/school_escorting.py @@ -220,8 +220,12 @@ def create_school_escorting_bundles_table(choosers, tours, stage): bundles["bundle_num"] = bundles.groupby("household_id").cumcount() + 1 # school escorting direction category - escort_direction_cat = pd.api.types.CategoricalDtype(["outbound","inbound"], ordered=False) - bundles["school_escort_direction"] = bundles["school_escort_direction"].astype(escort_direction_cat) + escort_direction_cat = pd.api.types.CategoricalDtype( + ["outbound", "inbound"], ordered=False + ) + bundles["school_escort_direction"] = bundles["school_escort_direction"].astype( + escort_direction_cat + ) # initialize values bundles["chauf_type_num"] = 0 @@ -288,7 +292,9 @@ def create_school_escorting_bundles_table(choosers, tours, stage): # odd chauf_type_num means ride share, even means pure escort # this comes from the way the alternatives file is constructed where chauf_id is # incremented for each possible chauffeur and for each tour type - escort_type_cat = pd.api.types.CategoricalDtype(["pure_escort","ride_share"], ordered = False) + escort_type_cat = pd.api.types.CategoricalDtype( + ["pure_escort", "ride_share"], ordered=False + ) bundles["escort_type"] = np.where( bundles["chauf_type_num"].mod(2) == 1, "ride_share", "pure_escort" ) @@ -533,8 +539,12 @@ def school_escorting( escort_bundles ) - school_escort_trips["primary_purpose"] = school_escort_trips["primary_purpose"].astype(state.get_dataframe("tours")["tour_type"].dtype) - school_escort_trips["purpose"] = school_escort_trips["purpose"].astype(state.get_dataframe("tours")["tour_type"].dtype) + school_escort_trips["primary_purpose"] = school_escort_trips[ + "primary_purpose" + ].astype(state.get_dataframe("tours")["tour_type"].dtype) + school_escort_trips["purpose"] = school_escort_trips["purpose"].astype( + state.get_dataframe("tours")["tour_type"].dtype + ) # update pipeline state.add_table("households", households) diff --git a/activitysim/abm/models/stop_frequency.py b/activitysim/abm/models/stop_frequency.py index d28c1f62c..0c9dff9ef 100644 --- a/activitysim/abm/models/stop_frequency.py +++ b/activitysim/abm/models/stop_frequency.py @@ -167,7 +167,9 @@ def stop_frequency( # convert indexes to alternative names choices = pd.Series(segment_spec.columns[choices.values], index=choices.index) - cat_type = pd.api.types.CategoricalDtype(segment_spec.columns.tolist(), ordered=False) + cat_type = pd.api.types.CategoricalDtype( + segment_spec.columns.tolist(), ordered=False + ) choices = choices.astype(cat_type) if estimator: diff --git a/activitysim/abm/models/telecommute_frequency.py b/activitysim/abm/models/telecommute_frequency.py index 7e7dcd00e..0cfbbfa8c 100755 --- a/activitysim/abm/models/telecommute_frequency.py +++ b/activitysim/abm/models/telecommute_frequency.py @@ -86,7 +86,10 @@ def telecommute_frequency( ) choices = pd.Series(model_spec.columns[choices.values], index=choices.index) - telecommute_frequency_cat = pd.api.types.CategoricalDtype(["", "No_Telecommute","1_day_week","2_3_days_week","4_days_week"], ordered=False) + telecommute_frequency_cat = pd.api.types.CategoricalDtype( + ["", "No_Telecommute", "1_day_week", "2_3_days_week", "4_days_week"], + ordered=False, + ) choices = choices.astype(telecommute_frequency_cat) if estimator: @@ -97,9 +100,7 @@ def telecommute_frequency( estimator.write_override_choices(choices) estimator.end_estimation() - persons["telecommute_frequency"] = ( - choices.reindex(persons.index).fillna("") - ) + persons["telecommute_frequency"] = choices.reindex(persons.index).fillna("") state.add_table("persons", persons) diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py index 9bb39356a..dc37e9353 100644 --- a/activitysim/abm/models/tour_mode_choice.py +++ b/activitysim/abm/models/tour_mode_choice.py @@ -69,7 +69,9 @@ def create_logsum_trips( pandas.DataFrame Table of trips: 2 per tour, with O/D and purpose inherited from tour """ - stop_freq_cat_type = pd.api.types.CategoricalDtype(["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False) + stop_freq_cat_type = pd.api.types.CategoricalDtype( + ["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False + ) stop_frequency_alts = state.get_injectable("stop_frequency_alts") stop_freq = "0out_0in" # no intermediate stops tours["stop_frequency"] = stop_freq @@ -77,7 +79,7 @@ def create_logsum_trips( tours["primary_purpose"] = tours["tour_purpose"] trips = trip.initialize_from_tours(state, tours, stop_frequency_alts) trips["stop_frequency"] = stop_freq - + outbound = trips["outbound"] trips["depart"] = reindex(tours.start, trips.tour_id) trips.loc[~outbound, "depart"] = reindex(tours.end, trips.loc[~outbound, "tour_id"]) diff --git a/activitysim/abm/models/trip_destination.py b/activitysim/abm/models/trip_destination.py index 28459073a..1ecc287b6 100644 --- a/activitysim/abm/models/trip_destination.py +++ b/activitysim/abm/models/trip_destination.py @@ -1294,7 +1294,9 @@ def run_trip_destination( trace_label=nth_trace_label, ) - if isinstance(nth_trips["trip_period"].dtype, pd.api.types.CategoricalDtype): + if isinstance( + nth_trips["trip_period"].dtype, pd.api.types.CategoricalDtype + ): skims = network_los.get_default_skim_dict() if hasattr(skims, "map_time_periods_from_series"): trip_period_idx = skims.map_time_periods_from_series( @@ -1317,7 +1319,9 @@ def run_trip_destination( # - choose destination for nth_trips, segmented by primary_purpose choices_list = [] - for primary_purpose, trips_segment in nth_trips.groupby("primary_purpose", observed=True): + for primary_purpose, trips_segment in nth_trips.groupby( + "primary_purpose", observed=True + ): choices, destination_sample = choose_trip_destination( state, primary_purpose, diff --git a/activitysim/abm/models/trip_mode_choice.py b/activitysim/abm/models/trip_mode_choice.py index 498e8c21c..c322c75ff 100644 --- a/activitysim/abm/models/trip_mode_choice.py +++ b/activitysim/abm/models/trip_mode_choice.py @@ -168,7 +168,9 @@ def trip_mode_choice( choices_list = [] cols_to_keep_list = [] - for primary_purpose, trips_segment in trips_merged.groupby("primary_purpose", observed=True): + for primary_purpose, trips_segment in trips_merged.groupby( + "primary_purpose", observed=True + ): segment_trace_label = tracing.extend_trace_label(trace_label, primary_purpose) logger.info( diff --git a/activitysim/abm/models/trip_purpose.py b/activitysim/abm/models/trip_purpose.py index d4edd7bd1..6b287daa3 100644 --- a/activitysim/abm/models/trip_purpose.py +++ b/activitysim/abm/models/trip_purpose.py @@ -211,17 +211,17 @@ def run_trip_purpose(state: workflow.State, trips_df, estimator, trace_label): # - last trip of outbound tour gets primary_purpose last_trip = trips_df.trip_num == trips_df.trip_count purpose = trips_df.primary_purpose[last_trip & trips_df.outbound] - print(purpose.value_counts(dropna = False)) + print(purpose.value_counts(dropna=False)) result_list.append(purpose) logger.info("assign purpose to %s last outbound trips", purpose.shape[0]) # - last trip of inbound tour gets home (or work for atwork subtours) purpose = trips_df.primary_purpose[last_trip & ~trips_df.outbound] - print(purpose.value_counts(dropna = False)) + print(purpose.value_counts(dropna=False)) purpose = pd.Series( np.where(purpose == "atwork", "work", "home"), index=purpose.index ).astype(trips_df.primary_purpose.dtype) - print(purpose.value_counts(dropna = False)) + print(purpose.value_counts(dropna=False)) result_list.append(purpose) logger.info("assign purpose to %s last inbound trips", purpose.shape[0]) @@ -259,7 +259,7 @@ def run_trip_purpose(state: workflow.State, trips_df, estimator, trace_label): trace_label=chunk_trace_label, chunk_sizer=chunk_sizer, ) - print(choices.value_counts(dropna = False)) + print(choices.value_counts(dropna=False)) result_list.append(choices) chunk_sizer.log_df(trace_label, f"result_list", result_list) diff --git a/activitysim/abm/models/util/mode.py b/activitysim/abm/models/util/mode.py index 254f3fdb3..63c2993eb 100644 --- a/activitysim/abm/models/util/mode.py +++ b/activitysim/abm/models/util/mode.py @@ -133,9 +133,15 @@ def run_tour_mode_choice_simulate( assert ("in_period" not in choosers) and ("out_period" not in choosers) in_time = skims["in_time_col_name"] out_time = skims["out_time_col_name"] - time_cat_type = pd.api.types.CategoricalDtype(list(set(network_los.skim_time_periods["labels"])), ordered=False) - choosers["in_period"] = network_los.skim_time_period_label(choosers[in_time]).astype(time_cat_type) - choosers["out_period"] = network_los.skim_time_period_label(choosers[out_time]).astype(time_cat_type) + time_cat_type = pd.api.types.CategoricalDtype( + list(set(network_los.skim_time_periods["labels"])), ordered=False + ) + choosers["in_period"] = network_los.skim_time_period_label( + choosers[in_time] + ).astype(time_cat_type) + choosers["out_period"] = network_los.skim_time_period_label( + choosers[out_time] + ).astype(time_cat_type) expressions.annotate_preprocessors( state, choosers, locals_dict, skims, model_settings, trace_label diff --git a/activitysim/abm/models/util/school_escort_tours_trips.py b/activitysim/abm/models/util/school_escort_tours_trips.py index f7bc2d05c..833edee70 100644 --- a/activitysim/abm/models/util/school_escort_tours_trips.py +++ b/activitysim/abm/models/util/school_escort_tours_trips.py @@ -314,8 +314,10 @@ def add_pure_escort_tours(tours, school_escort_tours): def add_school_escorting_type_to_tours_table(escort_bundles, tours): school_tour = (tours.tour_type == "school") & (tours.tour_num == 1) - - escort_type_cat = pd.api.types.CategoricalDtype(["pure_escort","ride_share"], ordered = False) + + escort_type_cat = pd.api.types.CategoricalDtype( + ["pure_escort", "ride_share"], ordered=False + ) tours["school_esc_outbound"] = pd.NA tours["school_esc_inbound"] = pd.NA tours["school_esc_outbound"] = tours["school_esc_outbound"].astype(escort_type_cat) @@ -473,7 +475,9 @@ def merge_school_escort_trips_into_pipeline(state: workflow.State): trips["destination"] = trips["destination"].astype(int) # converting to categoricals - trips["school_escort_direction"] = trips["school_escort_direction"].astype("category") + trips["school_escort_direction"] = trips["school_escort_direction"].astype( + "category" + ) trips["escort_participants"] = trips["escort_participants"].astype("category") # updating trip_id now that we have all trips @@ -571,11 +575,15 @@ def create_pure_school_escort_tours(state: workflow.State, bundles): pe_tours["tour_category"] = "non_mandatory" # convert tour category to categorical - pe_tours["tour_category"] = pe_tours["tour_category"].astype(state.get_dataframe("tours").tour_category.dtype) + pe_tours["tour_category"] = pe_tours["tour_category"].astype( + state.get_dataframe("tours").tour_category.dtype + ) pe_tours["number_of_participants"] = 1 pe_tours["tour_type"] = "escort" # convert tour type to categorical - pe_tours["tour_type"] = pe_tours["tour_type"].astype(state.get_dataframe("tours").tour_type.dtype) + pe_tours["tour_type"] = pe_tours["tour_type"].astype( + state.get_dataframe("tours").tour_type.dtype + ) pe_tours["school_esc_outbound"] = np.where( pe_tours["school_escort_direction"] == "outbound", "pure_escort", pd.NA ) diff --git a/activitysim/abm/models/util/tour_frequency.py b/activitysim/abm/models/util/tour_frequency.py index cc6b06ba9..60febd7d8 100644 --- a/activitysim/abm/models/util/tour_frequency.py +++ b/activitysim/abm/models/util/tour_frequency.py @@ -57,7 +57,25 @@ def create_tours(tour_counts, tour_category, parent_col="person_id"): # reformat with the columns given below tours = tour_counts.stack().reset_index() tours.columns = [parent_col, "tour_type", "tour_type_count"] - cat_tour_type = pd.api.types.CategoricalDtype(["work","school","univ","escort","eatout","shopping","social","othmaint","othdiscr", "eat", "business","maint", "atwork", "home"], ordered=False) + cat_tour_type = pd.api.types.CategoricalDtype( + [ + "work", + "school", + "univ", + "escort", + "eatout", + "shopping", + "social", + "othmaint", + "othdiscr", + "eat", + "business", + "maint", + "atwork", + "home", + ], + ordered=False, + ) tours["tour_type"] = tours["tour_type"].astype(cat_tour_type) """ @@ -101,7 +119,9 @@ def create_tours(tour_counts, tour_category, parent_col="person_id"): # do not enforce this here, other categories are possible # assert tour_category in ["mandatory", "non_mandatory", "atwork", "joint"] tours["tour_category"] = tour_category - cat_tour_category = pd.api.types.CategoricalDtype(["mandatory","joint","non_mandatory","atwork"], ordered=False) + cat_tour_category = pd.api.types.CategoricalDtype( + ["mandatory", "joint", "non_mandatory", "atwork"], ordered=False + ) tours["tour_category"] = tours["tour_category"].astype(cat_tour_category) # for joint tours, the correct number will be filled in after participation step @@ -704,7 +724,25 @@ def create_joint_tours( tours_purp.columns = [parent_col, "tour_id_temp", "tour_type"] tours_purp["tour_id_temp"] = range(1, 1 + len(tours_purp)) tours_purp["tour_type"] = tours_purp["tour_type"].map(tour_type_dict) - cat_tour_type = pd.api.types.CategoricalDtype(["work","school","univ","escort","eatout","shopping","social","othmaint","othdiscr", "eat", "business","maint", "atwork", "home"], ordered=False) + cat_tour_type = pd.api.types.CategoricalDtype( + [ + "work", + "school", + "univ", + "escort", + "eatout", + "shopping", + "social", + "othmaint", + "othdiscr", + "eat", + "business", + "maint", + "atwork", + "home", + ], + ordered=False, + ) tours_purp["tour_type"] = tours_purp["tour_type"].astype(cat_tour_type) """ @@ -724,7 +762,9 @@ def create_joint_tours( tours_comp.columns = [parent_col, "tour_id_temp", "composition"] tours_comp["tour_id_temp"] = range(1, 1 + len(tours_comp)) tours_comp["composition"] = tours_comp["composition"].map(tour_comp_dict) - cat_tour_comp = pd.api.types.CategoricalDtype(["adults","children","mixed"], ordered=False) + cat_tour_comp = pd.api.types.CategoricalDtype( + ["adults", "children", "mixed"], ordered=False + ) tours_comp["composition"] = tours_comp["composition"].astype(cat_tour_comp) """ @@ -767,7 +807,9 @@ def create_joint_tours( # set these here to ensure consistency across different tour categories assert tour_category in ["mandatory", "non_mandatory", "atwork", "joint"] tours["tour_category"] = tour_category - cat_tour_category = pd.api.types.CategoricalDtype(["mandatory","joint","non_mandatory","atwork"], ordered=False) + cat_tour_category = pd.api.types.CategoricalDtype( + ["mandatory", "joint", "non_mandatory", "atwork"], ordered=False + ) tours["tour_category"] = tours["tour_category"].astype(cat_tour_category) # for joint tours, the correct number will be filled in after participation step diff --git a/activitysim/abm/models/util/trip.py b/activitysim/abm/models/util/trip.py index 6fcc4010b..c6d8e5075 100644 --- a/activitysim/abm/models/util/trip.py +++ b/activitysim/abm/models/util/trip.py @@ -168,7 +168,7 @@ def initialize_from_tours( """ OUTBOUND_ALT = "out" - direction_cat_type = pd.api.types.CategoricalDtype(["out","in"], ordered=False) + direction_cat_type = pd.api.types.CategoricalDtype(["out", "in"], ordered=False) assert OUTBOUND_ALT in stop_frequency_alts.columns # get the actual alternatives for each person - have to go back to the diff --git a/activitysim/abm/models/util/vectorize_tour_scheduling.py b/activitysim/abm/models/util/vectorize_tour_scheduling.py index ce93c8951..ed61703e2 100644 --- a/activitysim/abm/models/util/vectorize_tour_scheduling.py +++ b/activitysim/abm/models/util/vectorize_tour_scheduling.py @@ -195,7 +195,9 @@ def dedupe_alt_tdd(state: workflow.State, alt_tdd, tour_purpose, trace_label): state, tracing.extend_trace_label(trace_label, "dedupe_alt_tdd") ) as chunk_sizer: if tdd_segments is not None: - tdd_segments["time_period"] = tdd_segments["time_period"].astype(alt_tdd["out_period"].dtype) + tdd_segments["time_period"] = tdd_segments["time_period"].astype( + alt_tdd["out_period"].dtype + ) dedupe_columns = ["out_period", "in_period"] @@ -339,9 +341,16 @@ def compute_tour_scheduling_logsums( # FIXME:MEMORY # These two lines each generate a massive array of strings, # using a bunch of RAM and slowing things down. - time_cat_type = pd.api.types.CategoricalDtype(list(OrderedDict.fromkeys(network_los.skim_time_periods["labels"])), ordered=True) - alt_tdd["out_period"] = network_los.skim_time_period_label(alt_tdd["start"]).astype(time_cat_type) - alt_tdd["in_period"] = network_los.skim_time_period_label(alt_tdd["end"]).astype(time_cat_type) + time_cat_type = pd.api.types.CategoricalDtype( + list(OrderedDict.fromkeys(network_los.skim_time_periods["labels"])), + ordered=True, + ) + alt_tdd["out_period"] = network_los.skim_time_period_label(alt_tdd["start"]).astype( + time_cat_type + ) + alt_tdd["in_period"] = network_los.skim_time_period_label(alt_tdd["end"]).astype( + time_cat_type + ) alt_tdd["duration"] = alt_tdd["end"] - alt_tdd["start"] diff --git a/activitysim/abm/models/vehicle_type_choice.py b/activitysim/abm/models/vehicle_type_choice.py index a9b4528b7..83c26a91d 100644 --- a/activitysim/abm/models/vehicle_type_choice.py +++ b/activitysim/abm/models/vehicle_type_choice.py @@ -231,7 +231,9 @@ def construct_model_alternatives( else: # eliminate alternatives if no vehicle type data alts_wide = alts_wide[alts_wide._merge != "left_only"] - alts_wide.drop(columns="_merge", inplace=True) # if this happens, alt_wide length will not match alt_long + alts_wide.drop( + columns="_merge", inplace=True + ) # if this happens, alt_wide length will not match alt_long # converting age to integer to allow interactions in utilities alts_wide["age"] = alts_wide["age"].astype(int) @@ -353,9 +355,15 @@ def iterate_vehicle_type_choice( # convert alternative names to categoricals # body_type, fuel_type, vehicle_type # age should be a int becuase it is used as a numeric value in utilities - body_type_cat = pd.api.types.CategoricalDtype(alts_cats_dict["body_type"], ordered = False) - fuel_type_cat = pd.api.types.CategoricalDtype(alts_cats_dict["fuel_type"], ordered = False) - vehicle_type_cat = pd.api.types.CategoricalDtype(list(set(alts_wide["vehicle_type"])) + [""], ordered = False) + body_type_cat = pd.api.types.CategoricalDtype( + alts_cats_dict["body_type"], ordered=False + ) + fuel_type_cat = pd.api.types.CategoricalDtype( + alts_cats_dict["fuel_type"], ordered=False + ) + vehicle_type_cat = pd.api.types.CategoricalDtype( + list(set(alts_wide["vehicle_type"])) + [""], ordered=False + ) alts_wide["body_type"] = alts_wide["body_type"].astype(body_type_cat) alts_wide["fuel_type"] = alts_wide["fuel_type"].astype(fuel_type_cat) @@ -363,12 +371,15 @@ def iterate_vehicle_type_choice( else: alts_wide = alts_long = None alts = model_spec.columns - vehicle_type_cat = pd.api.types.CategoricalDtype(list(set(alts)) + [""], ordered = False) - + vehicle_type_cat = pd.api.types.CategoricalDtype( + list(set(alts)) + [""], ordered=False + ) # - preparing choosers for iterating vehicles_merged["already_owned_veh"] = "" - vehicles_merged["already_owned_veh"] = vehicles_merged["already_owned_veh"].astype(vehicle_type_cat) + vehicles_merged["already_owned_veh"] = vehicles_merged["already_owned_veh"].astype( + vehicle_type_cat + ) logger.info("Running %s with %d vehicles", trace_label, len(vehicles_merged)) all_choosers = [] all_choices = [] @@ -483,7 +494,9 @@ def iterate_vehicle_type_choice( additional_cols = model_settings.get("COLS_TO_INCLUDE_IN_VEHICLE_TABLE") if additional_cols: additional_cols.append("vehicle_type") - vehicle_type_data["vehicle_type"] = vehicle_type_data["vehicle_type"].astype(vehicle_type_cat) + vehicle_type_data["vehicle_type"] = vehicle_type_data["vehicle_type"].astype( + vehicle_type_cat + ) all_choices = ( all_choices.reset_index() .merge(vehicle_type_data[additional_cols], how="left", on="vehicle_type") diff --git a/activitysim/core/assign.py b/activitysim/core/assign.py index 44a4c84d4..57cb871e0 100644 --- a/activitysim/core/assign.py +++ b/activitysim/core/assign.py @@ -361,7 +361,7 @@ def rng_lognormal(random_draws, mu, sigma, broadcast=True, scale=False): if sharrow_enabled: if isinstance(expr_values.dtype, pd.api.types.CategoricalDtype): None - elif( + elif ( np.issubdtype(expr_values.dtype, np.floating) and expr_values.dtype.itemsize < 4 ): diff --git a/activitysim/core/interaction_sample_simulate.py b/activitysim/core/interaction_sample_simulate.py index 83910fe57..6e32719f8 100644 --- a/activitysim/core/interaction_sample_simulate.py +++ b/activitysim/core/interaction_sample_simulate.py @@ -132,12 +132,12 @@ def _interaction_sample_simulate( # assert alternatives.index.name == choosers.index.name # asserting the index names are the same tells us nothing about the underlying data so why? logger.info( - f"{trace_label} start merging choosers and alternatives to create interaction_df" - ) + f"{trace_label} start merging choosers and alternatives to create interaction_df" + ) interaction_df = alternatives.join(choosers, how="left", rsuffix="_chooser") logger.info( - f"{trace_label} end merging choosers and alternatives to create interaction_df" - ) + f"{trace_label} end merging choosers and alternatives to create interaction_df" + ) if log_alt_losers: # logit.interaction_dataset adds ALT_CHOOSER_ID column if log_alt_losers is True diff --git a/activitysim/core/interaction_simulate.py b/activitysim/core/interaction_simulate.py index 0b32f8dec..87fae14f4 100644 --- a/activitysim/core/interaction_simulate.py +++ b/activitysim/core/interaction_simulate.py @@ -83,21 +83,35 @@ def eval_interaction_utilities( logger.info("Writing out interaction df info") buffer = io.StringIO() - df.info(memory_usage = 'deep', buf=buffer, verbose=True, show_counts=True) + df.info(memory_usage="deep", buf=buffer, verbose=True, show_counts=True) s = buffer.getvalue() - with open(os.path.join(state.filesystem.output_dir, trace_label+".interaction_df.info.txt"), "w", encoding="utf-8") as f: + with open( + os.path.join( + state.filesystem.output_dir, trace_label + ".interaction_df.info.txt" + ), + "w", + encoding="utf-8", + ) as f: f.write(s) - df.memory_usage(deep = True).to_csv( - os.path.join(state.filesystem.output_dir, trace_label+".interaction_df.memory_usage_deep.txt") + df.memory_usage(deep=True).to_csv( + os.path.join( + state.filesystem.output_dir, + trace_label + ".interaction_df.memory_usage_deep.txt", + ) ) df.memory_usage().to_csv( - os.path.join(state.filesystem.output_dir, trace_label+".interaction_df.memory_usage.txt") + os.path.join( + state.filesystem.output_dir, + trace_label + ".interaction_df.memory_usage.txt", + ) ) process = psutil.Process(os.getpid()) - logger.info("PID RSS when writing out interaction df info: %s" % process.memory_info().rss) + logger.info( + "PID RSS when writing out interaction df info: %s" % process.memory_info().rss + ) sharrow_enabled = state.settings.sharrow diff --git a/activitysim/core/util.py b/activitysim/core/util.py index 42f63de1f..8c20beb35 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -356,7 +356,7 @@ def assign_in_place(df, df2, downcast_float=False): "assign_in_place changed dtype %s of column %s to %s" % (old_dtype, c, df[c].dtype) ) - + if isinstance(old_dtype, pd.api.types.CategoricalDtype): continue @@ -386,7 +386,9 @@ def assign_in_place(df, df2, downcast_float=False): auto_opt_pd_dtypes(df, downcast_float, inplace=True) -def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) -> Optional[pd.DataFrame]: +def auto_opt_pd_dtypes( + df_: pd.DataFrame, downcast_float=False, inplace=False +) -> Optional[pd.DataFrame]: """ Automatically downcast Number dtypes for minimal possible, will not touch other (datetime, str, object, etc) @@ -399,14 +401,14 @@ def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) - if True, downcast float columns if possible inplace: bool if False, will return a copy of input dataset - + Returns ------- `None` if `inplace=True` or dataframe if `inplace=False` """ df = df_ if inplace else df_.copy() - + for col in df.columns: dtype = df[col].dtype # Skip optimizing floats for precision concerns @@ -421,7 +423,7 @@ def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) - if df[col].max() >= 16777216: continue else: - df[col] = pd.to_numeric(df[col], downcast='float') + df[col] = pd.to_numeric(df[col], downcast="float") # Skip if the column is already categorical if pd.api.types.is_categorical_dtype(dtype): continue @@ -434,7 +436,7 @@ def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) - if df[col].max() >= 16777216: continue else: - df[col] = pd.to_numeric(df[col], downcast='integer') + df[col] = pd.to_numeric(df[col], downcast="integer") continue # there are calcualtions in asim that expect results in negative values # operations on two unsigned types will not produce negative values @@ -442,10 +444,10 @@ def auto_opt_pd_dtypes(df_: pd.DataFrame, downcast_float=False, inplace=False) - # df[col] = pd.to_numeric(df[col], downcast='unsigned') # else: # df[col] = pd.to_numeric(df[col], downcast='integer') - + if not inplace: return df - + def df_from_dict(values, index=None): From 3fd3ed5b71e91ded68eb577a40028375ea766d24 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Fri, 6 Oct 2023 14:04:25 -0400 Subject: [PATCH 20/41] update dependencies --- conda-environments/github-actions-tests.yml | 1 + 1 file changed, 1 insertion(+) diff --git a/conda-environments/github-actions-tests.yml b/conda-environments/github-actions-tests.yml index e4d44e8d7..c7cfd39e5 100644 --- a/conda-environments/github-actions-tests.yml +++ b/conda-environments/github-actions-tests.yml @@ -21,6 +21,7 @@ dependencies: - platformdirs = 3.2.* - psutil = 5.9.* - pyarrow = 11.* +- pydantic = 1.10.* - pypyr = 5.8.* - pytables >= 3.5.1,<3.7 # orca's constraint - pytest = 7.2.* From be8c08747e08cd3f0d479e7dd45aaa7ed518a7ca Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Thu, 7 Dec 2023 14:14:24 -0500 Subject: [PATCH 21/41] update unit tests under util\test --- .../abm/models/util/test/test_mandatory_tour_frequency.py | 2 +- .../abm/models/util/test/test_non_mandatory_tour_frequency.py | 2 +- 2 files changed, 2 insertions(+), 2 deletions(-) diff --git a/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py b/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py index 0fdb5e1e6..bbdcf13bd 100644 --- a/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py +++ b/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py @@ -59,7 +59,7 @@ def test_mtf(): ) pdt.assert_series_equal( - mandatory_tours.tour_type, + mandatory_tours.tour_type.astype(str), pd.Series( ["work", "work", "school", "work", "school", "school", "school"], index=idx, diff --git a/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py b/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py index 6f25a8735..0c28174d4 100644 --- a/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py +++ b/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py @@ -41,7 +41,7 @@ def test_nmtf(): ) pdt.assert_series_equal( - nmt.tour_type, + nmt.tour_type.astype(str), pd.Series( ["shopping", "escort", "escort", "othmaint"], index=idx, name="tour_type" ), From 0a34951fe4e275336e9d2118cb9534700a6c86e8 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Thu, 7 Dec 2023 15:19:31 -0500 Subject: [PATCH 22/41] update unit tests under abm.test --- .../test/test_mandatory_tour_frequency.py | 4 ++ .../abm/test/test_pipeline/test_pipeline.py | 8 ++-- activitysim/core/interaction_simulate.py | 40 ++++++++++--------- 3 files changed, 30 insertions(+), 22 deletions(-) diff --git a/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py b/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py index bbdcf13bd..47152dafe 100644 --- a/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py +++ b/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py @@ -56,6 +56,7 @@ def test_mtf(): pdt.assert_series_equal( mandatory_tours.person_id, pd.Series([10, 20, 20, 30, 30, 40, 40], index=idx, name="person_id"), + check_dtype=False, ) pdt.assert_series_equal( @@ -71,14 +72,17 @@ def test_mtf(): pdt.assert_series_equal( mandatory_tours.tour_num, pd.Series([1, 1, 2, 2, 1, 1, 2], index=idx, name="tour_num"), + check_dtype=False, ) pdt.assert_series_equal( mandatory_tours.destination, pd.Series([10, 20, 2, 30, 3, 4, 4], index=idx, name="destination"), + check_dtype=False, ) pdt.assert_series_equal( mandatory_tours.origin, pd.Series([100, 200, 200, 300, 300, 400, 400], index=idx, name="origin"), + check_dtype=False, ) diff --git a/activitysim/abm/test/test_pipeline/test_pipeline.py b/activitysim/abm/test/test_pipeline/test_pipeline.py index 6afb7cb8f..d5b4253b6 100644 --- a/activitysim/abm/test/test_pipeline/test_pipeline.py +++ b/activitysim/abm/test/test_pipeline/test_pipeline.py @@ -151,7 +151,7 @@ def regress_mini_mtf(state: workflow.State): Name: mandatory_tour_frequency, dtype: object """ pdt.assert_series_equal( - mtf_choice.reindex(per_ids), expected_choice, check_dtype=False + mtf_choice.astype(str).reindex(per_ids), expected_choice, check_dtype=False ) @@ -332,6 +332,8 @@ def regress_tour_modes(tours_df): mode_cols = ["tour_mode", "person_id", "tour_type", "tour_num", "tour_category"] tours_df = tours_df[tours_df.household_id == HH_ID] + # convert tour_category from categorical to string for comparison + tours_df.tour_category = tours_df.tour_category.astype(str) tours_df = tours_df.sort_values(by=["person_id", "tour_category", "tour_num"]) print("mode_df\n%s" % tours_df[mode_cols]) @@ -369,8 +371,8 @@ def regress_tour_modes(tours_df): assert len(tours_df) == len(EXPECT_PERSON_IDS) assert (tours_df.person_id.values == EXPECT_PERSON_IDS).all() - assert (tours_df.tour_type.values == EXPECT_TOUR_TYPES).all() - assert (tours_df.tour_mode.values == EXPECT_MODES).all() + assert (tours_df.tour_type.astype(str).values == EXPECT_TOUR_TYPES).all() + assert (tours_df.tour_mode.astype(str).values == EXPECT_MODES).all() def regress(state: workflow.State): diff --git a/activitysim/core/interaction_simulate.py b/activitysim/core/interaction_simulate.py index 87fae14f4..436e1a168 100644 --- a/activitysim/core/interaction_simulate.py +++ b/activitysim/core/interaction_simulate.py @@ -85,28 +85,30 @@ def eval_interaction_utilities( buffer = io.StringIO() df.info(memory_usage="deep", buf=buffer, verbose=True, show_counts=True) s = buffer.getvalue() - with open( - os.path.join( - state.filesystem.output_dir, trace_label + ".interaction_df.info.txt" - ), - "w", - encoding="utf-8", - ) as f: - f.write(s) - - df.memory_usage(deep=True).to_csv( - os.path.join( - state.filesystem.output_dir, - trace_label + ".interaction_df.memory_usage_deep.txt", + # check if output dir exists + if os.path.exists(state.filesystem.output_dir): + with open( + os.path.join( + state.filesystem.output_dir, trace_label + ".interaction_df.info.txt" + ), + "w", + encoding="utf-8", + ) as f: + f.write(s) + + df.memory_usage(deep=True).to_csv( + os.path.join( + state.filesystem.output_dir, + trace_label + ".interaction_df.memory_usage_deep.txt", + ) ) - ) - df.memory_usage().to_csv( - os.path.join( - state.filesystem.output_dir, - trace_label + ".interaction_df.memory_usage.txt", + df.memory_usage().to_csv( + os.path.join( + state.filesystem.output_dir, + trace_label + ".interaction_df.memory_usage.txt", + ) ) - ) process = psutil.Process(os.getpid()) logger.info( From cbe63103d039ed82c45f76bc3c4f0059cbb0b303 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Thu, 7 Dec 2023 17:32:39 -0500 Subject: [PATCH 23/41] make int downcast an option --- activitysim/core/assign.py | 4 +++- activitysim/core/util.py | 10 +++++++--- .../extensions/stop_frequency_university_parking.py | 5 +++++ 3 files changed, 15 insertions(+), 4 deletions(-) diff --git a/activitysim/core/assign.py b/activitysim/core/assign.py index 57cb871e0..40864a3e6 100644 --- a/activitysim/core/assign.py +++ b/activitysim/core/assign.py @@ -424,6 +424,8 @@ def rng_lognormal(random_draws, mu, sigma, broadcast=True, scale=False): # we stored result in dict - convert to df variables = util.df_from_dict(variables, index=df.index) - util.auto_opt_pd_dtypes(variables, inplace=True) + util.auto_opt_pd_dtypes( + variables, downcast_int=False, downcast_float=False, inplace=True + ) return variables, trace_results, trace_assigned_locals diff --git a/activitysim/core/util.py b/activitysim/core/util.py index 8c20beb35..ee00b219c 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -316,7 +316,7 @@ def quick_loc_series(loc_list, target_series): return df.right -def assign_in_place(df, df2, downcast_float=False): +def assign_in_place(df, df2, downcast_int=False, downcast_float=False): """ update existing row values in df from df2, adding columns to df if they are not there @@ -383,11 +383,11 @@ def assign_in_place(df, df2, downcast_float=False): if pd.api.types.is_object_dtype(df[c]): df[c] = df[c].astype("category") - auto_opt_pd_dtypes(df, downcast_float, inplace=True) + auto_opt_pd_dtypes(df, downcast_int, downcast_float, inplace=True) def auto_opt_pd_dtypes( - df_: pd.DataFrame, downcast_float=False, inplace=False + df_: pd.DataFrame, downcast_int=False, downcast_float=False, inplace=False ) -> Optional[pd.DataFrame]: """ Automatically downcast Number dtypes for minimal possible, @@ -397,6 +397,8 @@ def auto_opt_pd_dtypes( ---------- df_ : pd.DataFrame assignment left-hand-side (dest) + downcast_int: bool + if True, downcast int columns if possible downcast_float: bool if True, downcast float columns if possible inplace: bool @@ -429,6 +431,8 @@ def auto_opt_pd_dtypes( continue # Handle integer types if pd.api.types.is_integer_dtype(dtype): + if not downcast_int: + continue # there is a bug in pandas to_numeric # when convert int and floats gt 16777216 # https://github.com/pandas-dev/pandas/issues/43693 diff --git a/activitysim/examples/production_semcog/extensions/stop_frequency_university_parking.py b/activitysim/examples/production_semcog/extensions/stop_frequency_university_parking.py index 7264fed35..10573ba98 100644 --- a/activitysim/examples/production_semcog/extensions/stop_frequency_university_parking.py +++ b/activitysim/examples/production_semcog/extensions/stop_frequency_university_parking.py @@ -124,6 +124,11 @@ def stop_frequency_university_parking( park_trips = park_to_campus | park_from_campus + # check if parking_name is in the purpose category + if not parking_name in trip_choosers.purpose.cat.categories: + trip_choosers.purpose = trip_choosers.purpose.cat.add_categories( + [parking_name] + ) trip_choosers.loc[park_trips, "purpose"] = parking_name trip_choosers.loc[park_trips, "destination_logsum"] = pd.NA trip_choosers.loc[park_trips, "destination"] = trip_choosers.loc[ From e4e73d3f9c44ddc500cbba1087a80b0e166435d5 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Mon, 11 Dec 2023 11:07:51 -0500 Subject: [PATCH 24/41] test moving str comp out of utility evaluation --- ..._frequency_annotate_tours_preprocessor.csv | 3 ++ .../configs/stop_frequency_eatout.csv | 8 +-- .../configs/stop_frequency_shopping.csv | 2 +- .../configs/stop_frequency_social.csv | 8 +-- ..._frequency_annotate_tours_preprocessor.csv | 3 +- .../configs/stop_frequency_eatout.csv | 2 +- ..._frequency_annotate_tours_preprocessor.csv | 51 +++++++++++++++++++ .../configs/stop_frequency_escort.csv | 4 +- .../configs/stop_frequency_school.csv | 4 +- .../configs/stop_frequency_univ.csv | 4 +- .../configs/stop_frequency_work.csv | 4 +- 11 files changed, 74 insertions(+), 19 deletions(-) create mode 100644 activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv diff --git a/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv b/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv index d7b2f1d61..4b77fbb9c 100755 --- a/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv +++ b/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv @@ -45,3 +45,6 @@ AccesibilityADestination off-peak transit,_dest_trOpRetail,"reindex(accessibilit AccesibilityAtDestination if transit,pracc,"pracc.where(~tour_mode_is_transit, _dest_trPkRetail.where(_tour_starts_in_peak, _dest_trOpRetail))" AccesibilityAtDestination if non_motorized,pracc,"pracc.where(~tour_mode_is_non_motorized, reindex(accessibility.nmRetail, df.destination))" ,destination_area_type,"reindex(land_use.area_type, df.destination)" +,is_mixed,df.composition=='mixed' +,is_adults_tour,df.composition=='adults' +,is_social,df.primary_purpose=='social' diff --git a/activitysim/examples/placeholder_psrc/configs/stop_frequency_eatout.csv b/activitysim/examples/placeholder_psrc/configs/stop_frequency_eatout.csv index bd0174ceb..75480c187 100644 --- a/activitysim/examples/placeholder_psrc/configs/stop_frequency_eatout.csv +++ b/activitysim/examples/placeholder_psrc/configs/stop_frequency_eatout.csv @@ -27,7 +27,7 @@ util_number_of_visit_tours_tours_undertaken_by_the_person,Number of visit tours util_number_of_shop_tours_undertaken_by_the_houshold,Number of shop tours undertaken by the houshold,num_hh_shop_tours,,,,,,,,,,,,,,,, util_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,Number of persons participating in the tour.Outgoing stops interaction,is_joint * number_of_participants,,,,,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction util_number_of_persons_participating_in_the_tour_return_stops_interaction,Number of persons participating in the tour.Return stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, -util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,composition=='mixed',,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour +util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,is_mixed,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour util_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,AM Peak departure between 6AM and 7 AM (including) Interacted with outbound tours,(start>5) & (start<8),,,,,,,,,,,,,,,, util_arrival_later_than_17_00_,Arrival later than 17:00.,(end > 16),,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_ util_evening_arrival_19_00_interacted_with_return_tours,Evening Arrival (>=19:00) Interacted with return tours,(end > 18),,,,,,,,,,,,,,,, @@ -47,6 +47,6 @@ util_alternative_specific_constant_for_the_total_number_of_stops,Alternative spe util_alternative_specific_constant_for_outbound_stops_on_joint_tours,Alternative specific constant for outbound stops on joint tours,is_joint,,,,,-1.783,-1.783,-1.783,-1.783,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in util_alternative_specific_constant_for_return_stops_on_joint_tours,Alternative specific constant for return stops on joint tours,is_joint,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379 util_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours,Alternative specific constant for the total number of stops on joint tours,is_joint,,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,1.497,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,1.497,1.497 -util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,primary_purpose == 'social',,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour -util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,primary_purpose == 'social',,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour -util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,primary_purpose == 'social',,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg +util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,is_social,,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour +util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,is_social,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour +util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,is_social,,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg diff --git a/activitysim/examples/placeholder_psrc/configs/stop_frequency_shopping.csv b/activitysim/examples/placeholder_psrc/configs/stop_frequency_shopping.csv index bf7d02ede..80b8e285a 100644 --- a/activitysim/examples/placeholder_psrc/configs/stop_frequency_shopping.csv +++ b/activitysim/examples/placeholder_psrc/configs/stop_frequency_shopping.csv @@ -27,7 +27,7 @@ util_number_of_visit_tours_tours_undertaken_by_the_person,Number of visit tours util_number_of_shop_tours_undertaken_by_the_houshold,Number of shop tours undertaken by the houshold,num_hh_shop_tours,,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold util_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,Number of persons participating in the tour.Outgoing stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, util_number_of_persons_participating_in_the_tour_return_stops_interaction,Number of persons participating in the tour.Return stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, -util_dummy_for_only_adults_participate_in_the_tour,Dummy for only adults participate in the tour,composition=='adults',,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour +util_dummy_for_only_adults_participate_in_the_tour,Dummy for only adults participate in the tour,is_adults_tour,,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour util_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,AM Peak departure between 6AM and 7 AM (including) Interacted with outbound tours,(start>5) & (start<8),,,,,,,,,,,,,,,, util_arrival_later_than_17_00_,Arrival later than 17:00.,(end > 16),,,,,,,,,,,,,,,, util_evening_arrival_19_00_interacted_with_return_tours,Evening Arrival (>=19:00) Interacted with return tours,(end > 18),,,,,,,,,,,,,,,, diff --git a/activitysim/examples/placeholder_psrc/configs/stop_frequency_social.csv b/activitysim/examples/placeholder_psrc/configs/stop_frequency_social.csv index f331514b0..0d64a60c6 100644 --- a/activitysim/examples/placeholder_psrc/configs/stop_frequency_social.csv +++ b/activitysim/examples/placeholder_psrc/configs/stop_frequency_social.csv @@ -27,7 +27,7 @@ util_number_of_visit_tours_tours_undertaken_by_the_person,Number of visit tours util_number_of_shop_tours_undertaken_by_the_houshold,Number of shop tours undertaken by the houshold,num_hh_shop_tours,,,,,,,,,,,,,,,, util_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,Number of persons participating in the tour.Outgoing stops interaction,is_joint * number_of_participants,,,,,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction util_number_of_persons_participating_in_the_tour_return_stops_interaction,Number of persons participating in the tour.Return stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, -util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,composition=='mixed',,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour +util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,is_mixed,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour util_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,AM Peak departure between 6AM and 7 AM (including) Interacted with outbound tours,(start>5) & (start<8),,,,,,,,,,,,,,,, util_arrival_later_than_17_00_,Arrival later than 17:00.,(end > 16),,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_ util_evening_arrival_19_00_interacted_with_return_tours,Evening Arrival (>=19:00) Interacted with return tours,(end > 18),,,,,,,,,,,,,,,, @@ -47,6 +47,6 @@ util_alternative_specific_constant_for_the_total_number_of_stops,Alternative spe util_alternative_specific_constant_for_outbound_stops_on_joint_tours,Alternative specific constant for outbound stops on joint tours,is_joint,,,,,-1.783,-1.783,-1.783,-1.783,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in util_alternative_specific_constant_for_return_stops_on_joint_tours,Alternative specific constant for return stops on joint tours,is_joint,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,-3.379 util_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours,Alternative specific constant for the total number of stops on joint tours,is_joint,,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,1.497,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,1.497,1.497 -util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,primary_purpose == 'social',,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour -util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,primary_purpose == 'social',,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour -util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,primary_purpose == 'social',,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg +util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,is_social,,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour +util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,is_social,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour +util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,is_social,,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg diff --git a/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv b/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv index a497131a6..e8772c7f8 100644 --- a/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv +++ b/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv @@ -4,7 +4,7 @@ Description,Target,Expression # e.g. univ segment means there will be a spec called stop_frequency_univ.csv,, # so the 'school' tour_type can treat univ and non-univ school tours differently,, ,primary_purpose,"df.tour_type.where((df.tour_type != 'school') | ~df.is_university, 'univ')" -# assigning category columns a new value can be problematic +# assigning category columns a new value can be problematic,, ,primary_purpose,"primary_purpose.where(df.tour_category!='atwork', 'atwork')" #,, ,distance_in_miles,od_skims['DIST'] @@ -46,3 +46,4 @@ AccesibilityADestination off-peak transit,_dest_trOpRetail,"reindex(accessibilit AccesibilityAtDestination if transit,pracc,"pracc.where(~tour_mode_is_transit, _dest_trPkRetail.where(_tour_starts_in_peak, _dest_trOpRetail))" AccesibilityAtDestination if non_motorized,pracc,"pracc.where(~tour_mode_is_non_motorized, reindex(accessibility.nmRetail, df.destination))" ,destination_area_type,"reindex(land_use.area_type, df.destination)" +,is_mixed,df.composition=='mixed' diff --git a/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv b/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv index f3a1d8505..2d23ce82f 100644 --- a/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv +++ b/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv @@ -27,7 +27,7 @@ util_number_of_visit_tours_tours_undertaken_by_the_person,Number of visit tours util_number_of_shop_tours_undertaken_by_the_houshold,Number of shop tours undertaken by the houshold,num_hh_shop_tours,,,,,,,,,,,,,,,, util_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,Number of persons participating in the tour.Outgoing stops interaction,is_joint * number_of_participants,,,,,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction util_number_of_persons_participating_in_the_tour_return_stops_interaction,Number of persons participating in the tour.Return stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, -util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,composition=='mixed',,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour +util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,is_mixed,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour util_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,AM Peak departure between 6AM and 7 AM (including) Interacted with outbound tours,(start>5) & (start<8),,,,,,,,,,,,,,,, util_arrival_later_than_17_00_,Arrival later than 17:00.,(end > 16),,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_ util_evening_arrival_19_00_interacted_with_return_tours,Evening Arrival (>=19:00) Interacted with return tours,(end > 18),,,,,,,,,,,,,,,, diff --git a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv new file mode 100644 index 000000000..e6b005d85 --- /dev/null +++ b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv @@ -0,0 +1,51 @@ +Description,Target,Expression +#,, +# define primary_purpose to use for slicing choosers with a value that identifies the spec to be used ,, +# e.g. univ segment means there will be a spec called stop_frequency_univ.csv,, +# so the 'school' tour_type can treat univ and non-univ school tours differently,, +,primary_purpose,"df.tour_type.where((df.tour_type != 'school') | ~df.is_university, 'univ')" +# assigning category columns a new value can be problematic +,primary_purpose,"primary_purpose.where(df.tour_category!='atwork', 'atwork')" +#,, +,distance_in_miles,od_skims['DIST'] +#,, +,is_joint,df.tour_category=='joint' +,_HH_PERSON_COUNT,"lambda exp, persons: persons.query(exp).groupby('household_id').size()" +,num_full,"reindex_i(_HH_PERSON_COUNT('ptype == %s' % PEMPLOY_FULL, persons), df.household_id)" +,num_part,"reindex_i(_HH_PERSON_COUNT('ptype == %s' % PEMPLOY_PART, persons), df.household_id)" +,num_student,"reindex_i(_HH_PERSON_COUNT('pstudent != %s' % PSTUDENT_NOT, persons), df.household_id)" +Num Kids between 0 and 4 (including) years old,num_age_0_4,"reindex_i(_HH_PERSON_COUNT('age < 5', persons), df.household_id)" +Num kids between 4 and 15 (including) years old,num_age_5_15,"reindex_i(_HH_PERSON_COUNT('(age >= 5) & (age <16)', persons), df.household_id)" +Number of Adults (>= 16 years old),num_adult,"reindex_i(_HH_PERSON_COUNT('age >= 16', persons), df.household_id)" +,more_cars_than_workers,df.auto_ownership >= (num_full + num_part) +,tour_mode_is_transit,df.tour_mode.isin(TRANSIT_MODES) +,tour_mode_is_drive_transit,df.tour_mode.isin(DRIVE_TO_TRANSIT_MODES) +,tour_mode_is_non_motorized,df.tour_mode.isin(NONMOTORIZED_MODES) +#,, +#num_work_tours already defined,, +school but not university,num_school_tours,"reindex_i(df[primary_purpose==SCHOOL_TOUR].groupby('person_id').size(), df.person_id)" +,num_univ_tours,(df.is_university) * num_school_tours +#num_escort_tours already defined,, +# indiv tour counts should not include joint tours by point_person,, +,num_shop_tours,"reindex_i(df[~is_joint & (df.tour_type==SHOP_TOUR)].groupby('person_id').size(), df.person_id)" +,num_maint_tours,"reindex_i(df[~is_joint & (df.tour_type==MAINT_TOUR)].groupby('person_id').size(), df.person_id)" +,num_eatout_tours,"reindex_i(df[~is_joint & (df.tour_type==EATOUT_TOUR)].groupby('person_id').size(), df.person_id)" +,num_social_tours,"reindex_i(df[~is_joint & (df.tour_type==SOCIAL_TOUR)].groupby('person_id').size(), df.person_id)" +#,, +Number of subtours in the tour,num_atwork_subtours,"df.atwork_subtour_frequency.map(num_atwork_subtours_map, na_action='ignore').fillna(0).astype(np.int8)" +#,, +Number of hh shop tours including joint,num_hh_shop_tours,"reindex_i(df[df.tour_type==SHOP_TOUR].groupby('household_id').size(), df.person_id)" +Number of hh maint tours including joint,num_hh_maint_tours,"reindex_i(df[df.tour_type==MAINT_TOUR].groupby('household_id').size(), df.person_id)" +tourStartsInPeakPeriod,_tour_starts_in_peak,(network_los.skim_time_period_label(df.start) == 'AM') | (network_los.skim_time_period_label(df.start) == 'PM') +AccesibilityAtOrigin fallback,hhacc,0 +AccesibilityAtOrigin if transit,hhacc,"hhacc.where(~tour_mode_is_transit, df.trPkRetail.where(_tour_starts_in_peak, df.trOpRetail))" +AccesibilityAtOrigin if non_motorized,hhacc,"hhacc.where(~tour_mode_is_non_motorized, df.nmRetail)" +AccesibilityADestination fallback,pracc,0 +AccesibilityADestination peak transit,_dest_trPkRetail,"reindex(accessibility.trPkRetail, df.destination)" +AccesibilityADestination off-peak transit,_dest_trOpRetail,"reindex(accessibility.trOpRetail, df.destination)" +AccesibilityAtDestination if transit,pracc,"pracc.where(~tour_mode_is_transit, _dest_trPkRetail.where(_tour_starts_in_peak, _dest_trOpRetail))" +AccesibilityAtDestination if non_motorized,pracc,"pracc.where(~tour_mode_is_non_motorized, reindex(accessibility.nmRetail, df.destination))" +,destination_area_type,"reindex(land_use.area_type, df.destination)" +,is_mixed,df.composition=='mixed' +,is_outbound_school_escort,"(df.school_esc_outbound.isin(['ride_share', 'pure_escort']))" +,is_inbound_school_escort,"(df.school_esc_inbound.isin(['ride_share', 'pure_escort']))" \ No newline at end of file diff --git a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_escort.csv b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_escort.csv index e522097e5..1f67721f4 100644 --- a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_escort.csv +++ b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_escort.csv @@ -45,5 +45,5 @@ util_alternative_specific_constant_for_outbound_stops_on_joint_tours,Alternative util_alternative_specific_constant_for_return_stops_on_joint_tours,Alternative specific constant for return stops on joint tours,is_joint,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in util_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours,Alternative specific constant for the total number of stops on joint tours,is_joint,,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in # added for school escorting,,,,,,,,,,,,,,,,,, -util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,"(school_esc_outbound.isin(['ride_share', 'pure_escort']))",,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail -util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,"(school_esc_inbound.isin(['ride_share', 'pure_escort']))",,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail +util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,is_outbound_school_escort,,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail +util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,is_inbound_school_escort,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail diff --git a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_school.csv b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_school.csv index 9aa97f549..28b5c594c 100644 --- a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_school.csv +++ b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_school.csv @@ -42,5 +42,5 @@ util_alternative_specific_constant_for_outbound_stops,Alternative specific const util_alternative_specific_constant_for_return_stops,Alternative specific constant for return stops,1,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in util_alternative_specific_constant_for_the_total_number_of_stops,Alternative specific constant for the total number of stops,1,,,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in # No stops for half tour that includes school escorting,,,,,,,,,,,,,,,,,, -util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,"(school_esc_outbound.isin(['ride_share', 'pure_escort']))",,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail -util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,"(school_esc_inbound.isin(['ride_share', 'pure_escort']))",,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail +util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,is_outbound_school_escort,,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail +util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,is_inbound_school_escort,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail diff --git a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_univ.csv b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_univ.csv index 8b4b53031..001ff9b37 100644 --- a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_univ.csv +++ b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_univ.csv @@ -42,5 +42,5 @@ util_alternative_specific_constant_for_outbound_stops,Alternative specific const util_alternative_specific_constant_for_return_stops,Alternative specific constant for return stops,1,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in,,coef_alternative_specific_constant_for_return_stops_0out_1in,coef_alternative_specific_constant_for_return_stops_0out_2in,coef_alternative_specific_constant_for_return_stops_0out_3in util_alternative_specific_constant_for_the_total_number_of_stops,Alternative specific constant for the total number of stops,1,,,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in # No stops for half tour that includes school escorting,,,,,,,,,,,,,,,,,, -util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,"(school_esc_outbound.isin(['ride_share', 'pure_escort']))",,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail -util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,"(school_esc_inbound.isin(['ride_share', 'pure_escort']))",,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail +util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,is_outbound_school_escort,,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail +util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,is_inbound_school_escort,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail diff --git a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_work.csv b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_work.csv index 764064c83..3357951c5 100644 --- a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_work.csv +++ b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_work.csv @@ -43,5 +43,5 @@ util_alternative_specific_constant_for_return_stops,Alternative specific constan util_alternative_specific_constant_for_the_total_number_of_stops,Alternative specific constant for the total number of stops,1,,,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_2out_3in util_number_of_subtours_in_the_tour,Number of subtours in the tour,num_atwork_subtours,,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour,coef_number_of_subtours_in_the_tour # No stops for half tour that includes school escorting,,,,,,,,,,,,,,,,,, -util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,"(school_esc_outbound.isin(['ride_share', 'pure_escort']))",,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail -util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,"(school_esc_inbound.isin(['ride_share', 'pure_escort']))",,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail +util_no_stops_to_school_escorting,Do not allow stops for school escort half-tour -- outbound,is_outbound_school_escort,,,,,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail,coef_unavail +util_no_stops_from_school_escorting,Do not allow stops for school escort half-tour -- inbound,is_inbound_school_escort,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail,,coef_unavail,coef_unavail,coef_unavail From 51f9a24da3c20b5b5f7f26e1a2b91ebbdf413dcb Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Mon, 11 Dec 2023 15:11:13 -0500 Subject: [PATCH 25/41] fix mtc and sandag ci tests --- .../stop_frequency_annotate_tours_preprocessor.csv | 2 +- .../stop_frequency_annotate_tours_preprocessor.csv | 2 ++ .../prototype_mtc/configs/stop_frequency_eatout.csv | 6 +++--- .../prototype_mtc/configs/stop_frequency_shopping.csv | 2 +- .../prototype_mtc/configs/stop_frequency_social.csv | 8 ++++---- 5 files changed, 11 insertions(+), 9 deletions(-) diff --git a/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv b/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv index 4b77fbb9c..faa80422a 100755 --- a/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv +++ b/activitysim/examples/placeholder_psrc/configs/stop_frequency_annotate_tours_preprocessor.csv @@ -47,4 +47,4 @@ AccesibilityAtDestination if non_motorized,pracc,"pracc.where(~tour_mode_is_non_ ,destination_area_type,"reindex(land_use.area_type, df.destination)" ,is_mixed,df.composition=='mixed' ,is_adults_tour,df.composition=='adults' -,is_social,df.primary_purpose=='social' +,is_social,primary_purpose=='social' diff --git a/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv b/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv index e8772c7f8..675fe4c2d 100644 --- a/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv +++ b/activitysim/examples/prototype_mtc/configs/stop_frequency_annotate_tours_preprocessor.csv @@ -47,3 +47,5 @@ AccesibilityAtDestination if transit,pracc,"pracc.where(~tour_mode_is_transit, _ AccesibilityAtDestination if non_motorized,pracc,"pracc.where(~tour_mode_is_non_motorized, reindex(accessibility.nmRetail, df.destination))" ,destination_area_type,"reindex(land_use.area_type, df.destination)" ,is_mixed,df.composition=='mixed' +,is_adults_tour,df.composition=='adults' +,is_social,primary_purpose=='social' diff --git a/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv b/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv index 2d23ce82f..5765af299 100644 --- a/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv +++ b/activitysim/examples/prototype_mtc/configs/stop_frequency_eatout.csv @@ -47,6 +47,6 @@ util_alternative_specific_constant_for_the_total_number_of_stops,Alternative spe util_alternative_specific_constant_for_outbound_stops_on_joint_tours,Alternative specific constant for outbound stops on joint tours,is_joint,,,,,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in util_alternative_specific_constant_for_return_stops_on_joint_tours,Alternative specific constant for return stops on joint tours,is_joint,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in util_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours,Alternative specific constant for the total number of stops on joint tours,is_joint,,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in -util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,primary_purpose == 'social',,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour -util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,primary_purpose == 'social',,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour -util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,primary_purpose == 'social',,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg +util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,is_social,,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour +util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,is_social,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour +util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,is_social,,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg diff --git a/activitysim/examples/prototype_mtc/configs/stop_frequency_shopping.csv b/activitysim/examples/prototype_mtc/configs/stop_frequency_shopping.csv index 195c6504b..5150da4be 100644 --- a/activitysim/examples/prototype_mtc/configs/stop_frequency_shopping.csv +++ b/activitysim/examples/prototype_mtc/configs/stop_frequency_shopping.csv @@ -27,7 +27,7 @@ util_number_of_visit_tours_tours_undertaken_by_the_person,Number of visit tours util_number_of_shop_tours_undertaken_by_the_houshold,Number of shop tours undertaken by the houshold,num_hh_shop_tours,,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold,coef_number_of_shop_tours_undertaken_by_the_houshold util_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,Number of persons participating in the tour.Outgoing stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, util_number_of_persons_participating_in_the_tour_return_stops_interaction,Number of persons participating in the tour.Return stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, -util_dummy_for_only_adults_participate_in_the_tour,Dummy for only adults participate in the tour,composition=='adults',,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour +util_dummy_for_only_adults_participate_in_the_tour,Dummy for only adults participate in the tour,is_adults_tour,,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour,coef_dummy_for_only_adults_participate_in_the_tour util_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,AM Peak departure between 6AM and 7 AM (including) Interacted with outbound tours,(start>5) & (start<8),,,,,,,,,,,,,,,, util_arrival_later_than_17_00_,Arrival later than 17:00.,(end > 16),,,,,,,,,,,,,,,, util_evening_arrival_19_00_interacted_with_return_tours,Evening Arrival (>=19:00) Interacted with return tours,(end > 18),,,,,,,,,,,,,,,, diff --git a/activitysim/examples/prototype_mtc/configs/stop_frequency_social.csv b/activitysim/examples/prototype_mtc/configs/stop_frequency_social.csv index 3a0e2eda9..84e6f6ef7 100644 --- a/activitysim/examples/prototype_mtc/configs/stop_frequency_social.csv +++ b/activitysim/examples/prototype_mtc/configs/stop_frequency_social.csv @@ -27,7 +27,7 @@ util_number_of_visit_tours_tours_undertaken_by_the_person,Number of visit tours util_number_of_shop_tours_undertaken_by_the_houshold,Number of shop tours undertaken by the houshold,num_hh_shop_tours,,,,,,,,,,,,,,,, util_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,Number of persons participating in the tour.Outgoing stops interaction,is_joint * number_of_participants,,,,,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction,coef_number_of_persons_participating_in_the_tour_outgoing_stops_interaction util_number_of_persons_participating_in_the_tour_return_stops_interaction,Number of persons participating in the tour.Return stops interaction,is_joint * number_of_participants,,,,,,,,,,,,,,,, -util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,composition=='mixed',,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour +util_at_least_one_kid_and_one_adult_participate_in_the_tour,At least one kid and one adult participate in the tour,is_mixed,,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour,coef_at_least_one_kid_and_one_adult_participate_in_the_tour util_am_peak_departure_between_6am_and_7_am_including_interacted_with_outbound_tours,AM Peak departure between 6AM and 7 AM (including) Interacted with outbound tours,(start>5) & (start<8),,,,,,,,,,,,,,,, util_arrival_later_than_17_00_,Arrival later than 17:00.,(end > 16),,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_,coef_arrival_later_than_17_00_ util_evening_arrival_19_00_interacted_with_return_tours,Evening Arrival (>=19:00) Interacted with return tours,(end > 18),,,,,,,,,,,,,,,, @@ -47,6 +47,6 @@ util_alternative_specific_constant_for_the_total_number_of_stops,Alternative spe util_alternative_specific_constant_for_outbound_stops_on_joint_tours,Alternative specific constant for outbound stops on joint tours,is_joint,,,,,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_1out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_2out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in,coef_alternative_specific_constant_for_outbound_stops_on_joint_tours_3out_0in util_alternative_specific_constant_for_return_stops_on_joint_tours,Alternative specific constant for return stops on joint tours,is_joint,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in,,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_1in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_return_stops_on_joint_tours_0out_3in util_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours,Alternative specific constant for the total number of stops on joint tours,is_joint,,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_0out_2in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_1out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in,coef_alternative_specific_constant_for_the_total_number_of_stops_on_joint_tours_2out_3in -util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,primary_purpose == 'social',,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour -util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,primary_purpose == 'social',,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour -util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,primary_purpose == 'social',,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg +util_dummy_for_an_outbound_visiting_tour,Dummy for an outbound visiting tour,is_social,,,,,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour,coef_dummy_for_an_outbound_visiting_tour +util_dummy_for_a_return_visiting_tour,Dummy for a return visiting tour,is_social,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour,coef_dummy_for_a_return_visiting_tour +util_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,Dummy for a visiting tour with both outbound and return leg,is_social,,,,,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg,coef_dummy_for_a_visiting_tour_with_both_outbound_and_return_leg From e1e5d41a8a11fe2ae03572a8110a60a30d575277 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Tue, 12 Dec 2023 12:09:53 -0500 Subject: [PATCH 26/41] get categories from alternatives --- .../abm/models/atwork_subtour_frequency.py | 10 ++++- .../abm/models/joint_tour_composition.py | 2 +- .../abm/models/joint_tour_frequency.py | 30 ++++---------- .../abm/models/mandatory_tour_frequency.py | 8 +++- .../models/non_mandatory_tour_frequency.py | 6 +++ .../abm/models/telecommute_frequency.py | 2 +- activitysim/abm/models/tour_mode_choice.py | 4 +- activitysim/abm/models/trip_purpose.py | 13 ++++++ activitysim/abm/models/util/tour_frequency.py | 40 ------------------- activitysim/core/workflow/state.py | 10 +++++ ..._frequency_annotate_tours_preprocessor.csv | 2 + 11 files changed, 57 insertions(+), 70 deletions(-) diff --git a/activitysim/abm/models/atwork_subtour_frequency.py b/activitysim/abm/models/atwork_subtour_frequency.py index 579223a4a..52dc62c04 100644 --- a/activitysim/abm/models/atwork_subtour_frequency.py +++ b/activitysim/abm/models/atwork_subtour_frequency.py @@ -23,7 +23,7 @@ def add_null_results(state, trace_label, tours): logger.info("Skipping %s: add_null_results", trace_label) cat_type = pd.api.types.CategoricalDtype( - ["", "no_subtours", "eat", "business1", "maint", "business2", "eat_business"], + [""], ordered=False, ) choices = choices.astype(cat_type) @@ -109,7 +109,7 @@ def atwork_subtour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) cat_type = pd.api.types.CategoricalDtype( - ["", "no_subtours", "eat", "business1", "maint", "business2", "eat_business"], + alternatives.index.tolist()+[""], ordered=False, ) choices = choices.astype(cat_type) @@ -133,6 +133,12 @@ def atwork_subtour_frequency( subtours = process_atwork_subtours(state, work_tours, alternatives) + # convert purpose to pandas categoricals + purpose_type = pd.api.types.CategoricalDtype( + alternatives.columns.tolist()+["atwork"], ordered=False + ) + subtours["tour_type"] = subtours["tour_type"].astype(purpose_type) + tours = state.extend_table("tours", subtours) state.tracing.register_traceable_table("tours", subtours) diff --git a/activitysim/abm/models/joint_tour_composition.py b/activitysim/abm/models/joint_tour_composition.py index 4c576fad0..db7ce88eb 100644 --- a/activitysim/abm/models/joint_tour_composition.py +++ b/activitysim/abm/models/joint_tour_composition.py @@ -111,7 +111,7 @@ def joint_tour_composition( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) cat_type = pd.api.types.CategoricalDtype( - ["", "adults", "children", "mixed"], ordered=False + model_spec.columns.tolist()+[""], ordered=False ) choices = choices.astype(cat_type) diff --git a/activitysim/abm/models/joint_tour_frequency.py b/activitysim/abm/models/joint_tour_frequency.py index 6e25d481c..dc02bd4a2 100644 --- a/activitysim/abm/models/joint_tour_frequency.py +++ b/activitysim/abm/models/joint_tour_frequency.py @@ -99,29 +99,7 @@ def joint_tour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) cat_type = pd.api.types.CategoricalDtype( - [ - "0_tours", - "1_Shop", - "1_Main", - "1_Eat", - "1_Visit", - "1_Disc", - "2_SS", - "2_SM", - "2_SE", - "2_SV", - "2_SD", - "2_MM", - "2_ME", - "2_MV", - "2_MD", - "2_EE", - "2_EV", - "2_ED", - "2_VV", - "2_VD", - "2_DD", - ], + model_spec.columns.tolist(), ordered=False, ) choices = choices.astype(cat_type) @@ -147,6 +125,12 @@ def joint_tour_frequency( joint_tours = process_joint_tours(state, choices, alternatives, temp_point_persons) + # convert purpose to pandas categoricals + purpose_type = pd.api.types.CategoricalDtype( + alternatives.columns.tolist(), ordered=False + ) + joint_tours["tour_type"] = joint_tours["tour_type"].astype(purpose_type) + tours = state.extend_table("tours", joint_tours) state.tracing.register_traceable_table("tours", joint_tours) diff --git a/activitysim/abm/models/mandatory_tour_frequency.py b/activitysim/abm/models/mandatory_tour_frequency.py index e7d686082..5e87d6729 100644 --- a/activitysim/abm/models/mandatory_tour_frequency.py +++ b/activitysim/abm/models/mandatory_tour_frequency.py @@ -115,7 +115,7 @@ def mandatory_tour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) cat_type = pd.api.types.CategoricalDtype( - ["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False + model_spec.columns.tolist()+[""], ordered=False ) choices = choices.astype(cat_type) @@ -142,6 +142,12 @@ def mandatory_tour_frequency( state, persons=choosers, mandatory_tour_frequency_alts=alternatives ) + # convert purpose to pandas categoricals + purpose_type = pd.api.types.CategoricalDtype( + alternatives.columns.tolist()+["univ","home","escort"], ordered=False + ) + mandatory_tours["tour_type"] = mandatory_tours["tour_type"].astype(purpose_type) + tours = state.extend_table("tours", mandatory_tours) state.tracing.register_traceable_table("tours", mandatory_tours) state.get_rn_generator().add_channel("tours", mandatory_tours) diff --git a/activitysim/abm/models/non_mandatory_tour_frequency.py b/activitysim/abm/models/non_mandatory_tour_frequency.py index 86a794102..554fe7ee0 100644 --- a/activitysim/abm/models/non_mandatory_tour_frequency.py +++ b/activitysim/abm/models/non_mandatory_tour_frequency.py @@ -354,6 +354,12 @@ def non_mandatory_tour_frequency( ) assert len(non_mandatory_tours) == extended_tour_counts.sum().sum() + # convert purpose to pandas categoricals + purpose_type = pd.api.types.CategoricalDtype( + alternatives.columns.tolist(), ordered=False + ) + non_mandatory_tours["tour_type"] = non_mandatory_tours["tour_type"].astype(purpose_type) + if estimator: # make sure they created the right tours survey_tours = estimation.manager.get_survey_table("tours").sort_index() diff --git a/activitysim/abm/models/telecommute_frequency.py b/activitysim/abm/models/telecommute_frequency.py index 0cfbbfa8c..7ce13377c 100755 --- a/activitysim/abm/models/telecommute_frequency.py +++ b/activitysim/abm/models/telecommute_frequency.py @@ -87,7 +87,7 @@ def telecommute_frequency( choices = pd.Series(model_spec.columns[choices.values], index=choices.index) telecommute_frequency_cat = pd.api.types.CategoricalDtype( - ["", "No_Telecommute", "1_day_week", "2_3_days_week", "4_days_week"], + model_spec.columns.tolist()+[""], ordered=False, ) choices = choices.astype(telecommute_frequency_cat) diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py index aee99993a..5935f6cac 100644 --- a/activitysim/abm/models/tour_mode_choice.py +++ b/activitysim/abm/models/tour_mode_choice.py @@ -68,10 +68,10 @@ def create_logsum_trips( pandas.DataFrame Table of trips: 2 per tour, with O/D and purpose inherited from tour """ + stop_frequency_alts = state.get_injectable("stop_frequency_alts") stop_freq_cat_type = pd.api.types.CategoricalDtype( - ["", "work1", "work2", "school1", "school2", "work_and_school"], ordered=False + stop_frequency_alts.index.tolist()+[""], ordered=False ) - stop_frequency_alts = state.get_injectable("stop_frequency_alts") stop_freq = "0out_0in" # no intermediate stops tours["stop_frequency"] = stop_freq tours["stop_frequency"] = tours["stop_frequency"].astype(stop_freq_cat_type) diff --git a/activitysim/abm/models/trip_purpose.py b/activitysim/abm/models/trip_purpose.py index 6b287daa3..6fed5d42f 100644 --- a/activitysim/abm/models/trip_purpose.py +++ b/activitysim/abm/models/trip_purpose.py @@ -163,6 +163,12 @@ def choose_intermediate_trip_purpose( state.tracing.trace_df(rands, "%s.rands" % trace_label, columns=[None, "rand"]) choices = choices.map(pd.Series(purpose_cols)) + # expand the purpose categorical + for p in purpose_cols: + if not p in trips.primary_purpose.cat.categories: + trips.primary_purpose = trips.primary_purpose.cat.add_categories( + [p] + ) choices = choices.astype(trips["primary_purpose"].dtype) return choices @@ -208,6 +214,13 @@ def run_trip_purpose(state: workflow.State, trips_df, estimator, trace_label): result_list = [] + # add home to purpose categorical + # check if parking_name is in the purpose category + if not "home" in trips_df.primary_purpose.cat.categories: + trips_df.primary_purpose = trips_df.primary_purpose.cat.add_categories( + ["home"] + ) + # - last trip of outbound tour gets primary_purpose last_trip = trips_df.trip_num == trips_df.trip_count purpose = trips_df.primary_purpose[last_trip & trips_df.outbound] diff --git a/activitysim/abm/models/util/tour_frequency.py b/activitysim/abm/models/util/tour_frequency.py index 60febd7d8..c82da52d5 100644 --- a/activitysim/abm/models/util/tour_frequency.py +++ b/activitysim/abm/models/util/tour_frequency.py @@ -57,26 +57,6 @@ def create_tours(tour_counts, tour_category, parent_col="person_id"): # reformat with the columns given below tours = tour_counts.stack().reset_index() tours.columns = [parent_col, "tour_type", "tour_type_count"] - cat_tour_type = pd.api.types.CategoricalDtype( - [ - "work", - "school", - "univ", - "escort", - "eatout", - "shopping", - "social", - "othmaint", - "othdiscr", - "eat", - "business", - "maint", - "atwork", - "home", - ], - ordered=False, - ) - tours["tour_type"] = tours["tour_type"].astype(cat_tour_type) """ tour_type tour_type_count @@ -724,26 +704,6 @@ def create_joint_tours( tours_purp.columns = [parent_col, "tour_id_temp", "tour_type"] tours_purp["tour_id_temp"] = range(1, 1 + len(tours_purp)) tours_purp["tour_type"] = tours_purp["tour_type"].map(tour_type_dict) - cat_tour_type = pd.api.types.CategoricalDtype( - [ - "work", - "school", - "univ", - "escort", - "eatout", - "shopping", - "social", - "othmaint", - "othdiscr", - "eat", - "business", - "maint", - "atwork", - "home", - ], - ordered=False, - ) - tours_purp["tour_type"] = tours_purp["tour_type"].astype(cat_tour_type) """ tour_id_temp tour_type diff --git a/activitysim/core/workflow/state.py b/activitysim/core/workflow/state.py index 22bbbf045..72c8253b0 100644 --- a/activitysim/core/workflow/state.py +++ b/activitysim/core/workflow/state.py @@ -1080,6 +1080,16 @@ def extend_table(self, table_name, df, axis=0): new_df_columns = [c for c in df.columns if c not in table_df.columns] df = df[new_df_columns] missing_df_str_columns = [] + + # union categoricals + for c in table_df.columns.intersection(df.columns): + if isinstance(table_df[c].dtype,pd.api.types.CategoricalDtype): + if isinstance(df[c].dtype,pd.api.types.CategoricalDtype): + from pandas.api.types import union_categoricals + + uc = union_categoricals([table_df[c], df[c]]) + table_df[c]=pd.Categorical(table_df[c],categories=uc.categories) + df[c]=pd.Categorical(df[c],categories=uc.categories) # preserve existing column order df = pd.concat([table_df, df], sort=False, axis=axis) diff --git a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv index e6b005d85..bc9a798e3 100644 --- a/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv +++ b/activitysim/examples/prototype_mtc_extended/configs/stop_frequency_annotate_tours_preprocessor.csv @@ -47,5 +47,7 @@ AccesibilityAtDestination if transit,pracc,"pracc.where(~tour_mode_is_transit, _ AccesibilityAtDestination if non_motorized,pracc,"pracc.where(~tour_mode_is_non_motorized, reindex(accessibility.nmRetail, df.destination))" ,destination_area_type,"reindex(land_use.area_type, df.destination)" ,is_mixed,df.composition=='mixed' +,is_adults_tour,df.composition=='adults' +,is_social,primary_purpose=='social' ,is_outbound_school_escort,"(df.school_esc_outbound.isin(['ride_share', 'pure_escort']))" ,is_inbound_school_escort,"(df.school_esc_inbound.isin(['ride_share', 'pure_escort']))" \ No newline at end of file From ed2ae9621dd2355ea242f5afc630618404dbba1b Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Tue, 12 Dec 2023 12:13:35 -0500 Subject: [PATCH 27/41] black formatting --- activitysim/abm/models/atwork_subtour_frequency.py | 4 ++-- activitysim/abm/models/joint_tour_composition.py | 2 +- activitysim/abm/models/mandatory_tour_frequency.py | 4 ++-- .../abm/models/non_mandatory_tour_frequency.py | 4 +++- activitysim/abm/models/telecommute_frequency.py | 2 +- activitysim/abm/models/tour_mode_choice.py | 2 +- activitysim/abm/models/trip_purpose.py | 8 ++------ activitysim/core/workflow/state.py | 12 +++++++----- 8 files changed, 19 insertions(+), 19 deletions(-) diff --git a/activitysim/abm/models/atwork_subtour_frequency.py b/activitysim/abm/models/atwork_subtour_frequency.py index 52dc62c04..053821918 100644 --- a/activitysim/abm/models/atwork_subtour_frequency.py +++ b/activitysim/abm/models/atwork_subtour_frequency.py @@ -109,7 +109,7 @@ def atwork_subtour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) cat_type = pd.api.types.CategoricalDtype( - alternatives.index.tolist()+[""], + alternatives.index.tolist() + [""], ordered=False, ) choices = choices.astype(cat_type) @@ -135,7 +135,7 @@ def atwork_subtour_frequency( # convert purpose to pandas categoricals purpose_type = pd.api.types.CategoricalDtype( - alternatives.columns.tolist()+["atwork"], ordered=False + alternatives.columns.tolist() + ["atwork"], ordered=False ) subtours["tour_type"] = subtours["tour_type"].astype(purpose_type) diff --git a/activitysim/abm/models/joint_tour_composition.py b/activitysim/abm/models/joint_tour_composition.py index db7ce88eb..f1469ceb2 100644 --- a/activitysim/abm/models/joint_tour_composition.py +++ b/activitysim/abm/models/joint_tour_composition.py @@ -111,7 +111,7 @@ def joint_tour_composition( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) cat_type = pd.api.types.CategoricalDtype( - model_spec.columns.tolist()+[""], ordered=False + model_spec.columns.tolist() + [""], ordered=False ) choices = choices.astype(cat_type) diff --git a/activitysim/abm/models/mandatory_tour_frequency.py b/activitysim/abm/models/mandatory_tour_frequency.py index 5e87d6729..74a377adc 100644 --- a/activitysim/abm/models/mandatory_tour_frequency.py +++ b/activitysim/abm/models/mandatory_tour_frequency.py @@ -115,7 +115,7 @@ def mandatory_tour_frequency( # convert indexes to alternative names choices = pd.Series(model_spec.columns[choices.values], index=choices.index) cat_type = pd.api.types.CategoricalDtype( - model_spec.columns.tolist()+[""], ordered=False + model_spec.columns.tolist() + [""], ordered=False ) choices = choices.astype(cat_type) @@ -144,7 +144,7 @@ def mandatory_tour_frequency( # convert purpose to pandas categoricals purpose_type = pd.api.types.CategoricalDtype( - alternatives.columns.tolist()+["univ","home","escort"], ordered=False + alternatives.columns.tolist() + ["univ", "home", "escort"], ordered=False ) mandatory_tours["tour_type"] = mandatory_tours["tour_type"].astype(purpose_type) diff --git a/activitysim/abm/models/non_mandatory_tour_frequency.py b/activitysim/abm/models/non_mandatory_tour_frequency.py index 554fe7ee0..022153d33 100644 --- a/activitysim/abm/models/non_mandatory_tour_frequency.py +++ b/activitysim/abm/models/non_mandatory_tour_frequency.py @@ -358,7 +358,9 @@ def non_mandatory_tour_frequency( purpose_type = pd.api.types.CategoricalDtype( alternatives.columns.tolist(), ordered=False ) - non_mandatory_tours["tour_type"] = non_mandatory_tours["tour_type"].astype(purpose_type) + non_mandatory_tours["tour_type"] = non_mandatory_tours["tour_type"].astype( + purpose_type + ) if estimator: # make sure they created the right tours diff --git a/activitysim/abm/models/telecommute_frequency.py b/activitysim/abm/models/telecommute_frequency.py index 7ce13377c..26ca671f2 100755 --- a/activitysim/abm/models/telecommute_frequency.py +++ b/activitysim/abm/models/telecommute_frequency.py @@ -87,7 +87,7 @@ def telecommute_frequency( choices = pd.Series(model_spec.columns[choices.values], index=choices.index) telecommute_frequency_cat = pd.api.types.CategoricalDtype( - model_spec.columns.tolist()+[""], + model_spec.columns.tolist() + [""], ordered=False, ) choices = choices.astype(telecommute_frequency_cat) diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py index 5935f6cac..eaa2f1e5d 100644 --- a/activitysim/abm/models/tour_mode_choice.py +++ b/activitysim/abm/models/tour_mode_choice.py @@ -70,7 +70,7 @@ def create_logsum_trips( """ stop_frequency_alts = state.get_injectable("stop_frequency_alts") stop_freq_cat_type = pd.api.types.CategoricalDtype( - stop_frequency_alts.index.tolist()+[""], ordered=False + stop_frequency_alts.index.tolist() + [""], ordered=False ) stop_freq = "0out_0in" # no intermediate stops tours["stop_frequency"] = stop_freq diff --git a/activitysim/abm/models/trip_purpose.py b/activitysim/abm/models/trip_purpose.py index 6fed5d42f..afd5ec995 100644 --- a/activitysim/abm/models/trip_purpose.py +++ b/activitysim/abm/models/trip_purpose.py @@ -166,9 +166,7 @@ def choose_intermediate_trip_purpose( # expand the purpose categorical for p in purpose_cols: if not p in trips.primary_purpose.cat.categories: - trips.primary_purpose = trips.primary_purpose.cat.add_categories( - [p] - ) + trips.primary_purpose = trips.primary_purpose.cat.add_categories([p]) choices = choices.astype(trips["primary_purpose"].dtype) return choices @@ -217,9 +215,7 @@ def run_trip_purpose(state: workflow.State, trips_df, estimator, trace_label): # add home to purpose categorical # check if parking_name is in the purpose category if not "home" in trips_df.primary_purpose.cat.categories: - trips_df.primary_purpose = trips_df.primary_purpose.cat.add_categories( - ["home"] - ) + trips_df.primary_purpose = trips_df.primary_purpose.cat.add_categories(["home"]) # - last trip of outbound tour gets primary_purpose last_trip = trips_df.trip_num == trips_df.trip_count diff --git a/activitysim/core/workflow/state.py b/activitysim/core/workflow/state.py index 72c8253b0..479b032c7 100644 --- a/activitysim/core/workflow/state.py +++ b/activitysim/core/workflow/state.py @@ -1080,16 +1080,18 @@ def extend_table(self, table_name, df, axis=0): new_df_columns = [c for c in df.columns if c not in table_df.columns] df = df[new_df_columns] missing_df_str_columns = [] - + # union categoricals for c in table_df.columns.intersection(df.columns): - if isinstance(table_df[c].dtype,pd.api.types.CategoricalDtype): - if isinstance(df[c].dtype,pd.api.types.CategoricalDtype): + if isinstance(table_df[c].dtype, pd.api.types.CategoricalDtype): + if isinstance(df[c].dtype, pd.api.types.CategoricalDtype): from pandas.api.types import union_categoricals uc = union_categoricals([table_df[c], df[c]]) - table_df[c]=pd.Categorical(table_df[c],categories=uc.categories) - df[c]=pd.Categorical(df[c],categories=uc.categories) + table_df[c] = pd.Categorical( + table_df[c], categories=uc.categories + ) + df[c] = pd.Categorical(df[c], categories=uc.categories) # preserve existing column order df = pd.concat([table_df, df], sort=False, axis=axis) From e02b0b4a1406256e690db472685cf6f356d996dd Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Fri, 15 Dec 2023 20:27:54 -0500 Subject: [PATCH 28/41] add `downcast_int` and `downcast_float` into settings --- .../abm/models/atwork_subtour_destination.py | 14 +++++++++++-- .../abm/models/atwork_subtour_mode_choice.py | 4 +++- .../abm/models/atwork_subtour_scheduling.py | 4 +++- .../abm/models/joint_tour_destination.py | 14 +++++++++++-- .../abm/models/joint_tour_participation.py | 7 ++++++- .../abm/models/joint_tour_scheduling.py | 4 +++- .../abm/models/mandatory_scheduling.py | 4 +++- .../abm/models/non_mandatory_destination.py | 14 +++++++++++-- .../abm/models/non_mandatory_scheduling.py | 4 +++- .../abm/models/parking_location_choice.py | 14 +++++++++++-- activitysim/abm/models/stop_frequency.py | 21 ++++++++++++++++--- activitysim/abm/models/tour_mode_choice.py | 11 ++++++++-- activitysim/abm/models/trip_destination.py | 19 ++++++++++++++--- activitysim/abm/models/trip_mode_choice.py | 11 ++++++++-- .../models/trip_purpose_and_destination.py | 7 ++++++- activitysim/abm/models/util/trip.py | 7 ++++++- activitysim/core/assign.py | 5 ++++- activitysim/core/configuration/top.py | 18 ++++++++++++++++ activitysim/core/expressions.py | 8 +++++-- 19 files changed, 161 insertions(+), 29 deletions(-) diff --git a/activitysim/abm/models/atwork_subtour_destination.py b/activitysim/abm/models/atwork_subtour_destination.py index e545e2b34..593962d1e 100644 --- a/activitysim/abm/models/atwork_subtour_destination.py +++ b/activitysim/abm/models/atwork_subtour_destination.py @@ -83,11 +83,21 @@ def atwork_subtour_destination( estimator.end_estimation() subtours[destination_column_name] = choices_df["choice"] - assign_in_place(tours, subtours[[destination_column_name]]) + assign_in_place( + tours, + subtours[[destination_column_name]], + state.settings.downcast_int, + state.settings.downcast_int, + ) if want_logsums: subtours[logsum_column_name] = choices_df["logsum"] - assign_in_place(tours, subtours[[logsum_column_name]]) + assign_in_place( + tours, + subtours[[logsum_column_name]], + state.settings.downcast_int, + state.settings.downcast_int, + ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/atwork_subtour_mode_choice.py b/activitysim/abm/models/atwork_subtour_mode_choice.py index a989572c9..09f107ac9 100644 --- a/activitysim/abm/models/atwork_subtour_mode_choice.py +++ b/activitysim/abm/models/atwork_subtour_mode_choice.py @@ -185,7 +185,9 @@ def atwork_subtour_mode_choice( "%s choices" % trace_label, choices_df[mode_column_name], value_counts=True ) - assign_in_place(tours, choices_df) + assign_in_place( + tours, choices_df, state.settings.downcast_int, state.settings.downcast_int + ) state.add_table("tours", tours) # - annotate tours table diff --git a/activitysim/abm/models/atwork_subtour_scheduling.py b/activitysim/abm/models/atwork_subtour_scheduling.py index f6c71351d..e16199c74 100644 --- a/activitysim/abm/models/atwork_subtour_scheduling.py +++ b/activitysim/abm/models/atwork_subtour_scheduling.py @@ -101,7 +101,9 @@ def atwork_subtour_scheduling( choices.to_frame("tdd"), tdd_alts, left_on=["tdd"], right_index=True, how="left" ) - assign_in_place(tours, tdd_choices) + assign_in_place( + tours, tdd_choices, state.settings.downcast_int, state.settings.downcast_int + ) state.add_table("tours", tours) if trace_hh_id: diff --git a/activitysim/abm/models/joint_tour_destination.py b/activitysim/abm/models/joint_tour_destination.py index d94658b78..1312e15cd 100644 --- a/activitysim/abm/models/joint_tour_destination.py +++ b/activitysim/abm/models/joint_tour_destination.py @@ -81,12 +81,22 @@ def joint_tour_destination( # add column as we want joint_tours table for tracing. joint_tours["destination"] = choices_df.choice - assign_in_place(tours, joint_tours[["destination"]]) + assign_in_place( + tours, + joint_tours[["destination"]], + state.settings.downcast_int, + state.settings.downcast_int, + ) state.add_table("tours", tours) if want_logsums: joint_tours[logsum_column_name] = choices_df["logsum"] - assign_in_place(tours, joint_tours[[logsum_column_name]]) + assign_in_place( + tours, + joint_tours[[logsum_column_name]], + state.settings.downcast_int, + state.settings.downcast_int, + ) tracing.print_summary("destination", joint_tours.destination, describe=True) diff --git a/activitysim/abm/models/joint_tour_participation.py b/activitysim/abm/models/joint_tour_participation.py index f61fe66a5..bd08d6654 100644 --- a/activitysim/abm/models/joint_tour_participation.py +++ b/activitysim/abm/models/joint_tour_participation.py @@ -441,7 +441,12 @@ def joint_tour_participation( # update number_of_participants which was initialized to 1 joint_tours["number_of_participants"] = participants.groupby("tour_id").size() - assign_in_place(tours, joint_tours[["person_id", "number_of_participants"]]) + assign_in_place( + tours, + joint_tours[["person_id", "number_of_participants"]], + state.settings.downcast_int, + state.settings.downcast_int, + ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/joint_tour_scheduling.py b/activitysim/abm/models/joint_tour_scheduling.py index 0a488757a..0b20208dc 100644 --- a/activitysim/abm/models/joint_tour_scheduling.py +++ b/activitysim/abm/models/joint_tour_scheduling.py @@ -140,7 +140,9 @@ def joint_tour_scheduling( choices.to_frame("tdd"), tdd_alts, left_on=["tdd"], right_index=True, how="left" ) - assign_in_place(tours, choices) + assign_in_place( + tours, choices, state.settings.downcast_int, state.settings.downcast_int + ) state.add_table("tours", tours) # updated df for tracing diff --git a/activitysim/abm/models/mandatory_scheduling.py b/activitysim/abm/models/mandatory_scheduling.py index 2e5401bf1..594d3dd54 100644 --- a/activitysim/abm/models/mandatory_scheduling.py +++ b/activitysim/abm/models/mandatory_scheduling.py @@ -62,7 +62,9 @@ def mandatory_tour_scheduling( tour_segment_col, ) - assign_in_place(tours, choices) + assign_in_place( + tours, choices, state.settings.downcast_int, state.settings.downcast_int + ) state.add_table("tours", tours) # updated df for tracing diff --git a/activitysim/abm/models/non_mandatory_destination.py b/activitysim/abm/models/non_mandatory_destination.py index 7ca5c4e90..acf288b8d 100644 --- a/activitysim/abm/models/non_mandatory_destination.py +++ b/activitysim/abm/models/non_mandatory_destination.py @@ -100,11 +100,21 @@ def non_mandatory_tour_destination( [pure_school_escort_tours, non_mandatory_tours] ).set_index(nm_tour_index) - assign_in_place(tours, non_mandatory_tours[["destination"]]) + assign_in_place( + tours, + non_mandatory_tours[["destination"]], + state.settings.downcast_int, + state.settings.downcast_int, + ) if want_logsums: non_mandatory_tours[logsum_column_name] = choices_df["logsum"] - assign_in_place(tours, non_mandatory_tours[[logsum_column_name]]) + assign_in_place( + tours, + non_mandatory_tours[[logsum_column_name]], + state.settings.downcast_int, + state.settings.downcast_int, + ) assert all( ~tours["destination"].isna() diff --git a/activitysim/abm/models/non_mandatory_scheduling.py b/activitysim/abm/models/non_mandatory_scheduling.py index d8cb9e187..c9cc650fb 100644 --- a/activitysim/abm/models/non_mandatory_scheduling.py +++ b/activitysim/abm/models/non_mandatory_scheduling.py @@ -47,7 +47,9 @@ def non_mandatory_tour_scheduling( tour_segment_col, ) - assign_in_place(tours, choices) + assign_in_place( + tours, choices, state.settings.downcast_int, state.settings.downcast_int + ) state.add_table("tours", tours) # updated df for tracing diff --git a/activitysim/abm/models/parking_location_choice.py b/activitysim/abm/models/parking_location_choice.py index dbec927be..6ff8d64fe 100644 --- a/activitysim/abm/models/parking_location_choice.py +++ b/activitysim/abm/models/parking_location_choice.py @@ -269,7 +269,12 @@ def run_parking_destination( if fail_some_trips_for_testing: parking_df = parking_df.drop(parking_df.index[0]) - assign_in_place(trips, parking_df.to_frame(parking_location_column_name)) + assign_in_place( + trips, + parking_df.to_frame(parking_location_column_name), + state.settings.downcast_int, + state.settings.downcast_int, + ) trips[parking_location_column_name] = trips[ parking_location_column_name ].fillna(-1) @@ -348,7 +353,12 @@ def parking_location( trace_label=trace_label, ) - assign_in_place(trips_df, parking_locations.to_frame(alt_destination_col_name)) + assign_in_place( + trips_df, + parking_locations.to_frame(alt_destination_col_name), + state.settings.downcast_int, + state.settings.downcast_int, + ) state.add_table("trips", trips_df) diff --git a/activitysim/abm/models/stop_frequency.py b/activitysim/abm/models/stop_frequency.py index 0c9dff9ef..2c349b97e 100644 --- a/activitysim/abm/models/stop_frequency.py +++ b/activitysim/abm/models/stop_frequency.py @@ -93,7 +93,12 @@ def stop_frequency( trace_label=trace_label, ) - assign_in_place(tours_merged, annotations) + assign_in_place( + tours_merged, + annotations, + state.settings.downcast_int, + state.settings.downcast_int, + ) tracing.print_summary( "stop_frequency segments", tours_merged.primary_purpose, value_counts=True @@ -187,13 +192,23 @@ def stop_frequency( tracing.print_summary("stop_frequency", choices, value_counts=True) # add stop_frequency choices to tours table - assign_in_place(tours, choices.to_frame("stop_frequency")) + assign_in_place( + tours, + choices.to_frame("stop_frequency"), + state.settings.downcast_int, + state.settings.downcast_int, + ) # FIXME should have added this when tours created? assert "primary_purpose" not in tours if "primary_purpose" not in tours.columns: # if not already there, then it will have been added by stop_freq_annotate_tours_preprocessor - assign_in_place(tours, tours_merged[["primary_purpose"]]) + assign_in_place( + tours, + tours_merged[["primary_purpose"]], + state.settings.downcast_int, + state.settings.downcast_int, + ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py index eaa2f1e5d..61d320cc4 100644 --- a/activitysim/abm/models/tour_mode_choice.py +++ b/activitysim/abm/models/tour_mode_choice.py @@ -403,11 +403,18 @@ def tour_mode_choice_simulate( ) # so we can trace with annotations - assign_in_place(primary_tours, choices_df) + assign_in_place( + primary_tours, + choices_df, + state.settings.downcast_int, + state.settings.downcast_int, + ) # update tours table with mode choice (and optionally logsums) all_tours = tours - assign_in_place(all_tours, choices_df) + assign_in_place( + all_tours, choices_df, state.settings.downcast_int, state.settings.downcast_int + ) if state.is_table("school_escort_tours") & model_settings.get( "FORCE_ESCORTEE_CHAUFFEUR_MODE_MATCH", True diff --git a/activitysim/abm/models/trip_destination.py b/activitysim/abm/models/trip_destination.py index 1ecc287b6..f96333a5c 100644 --- a/activitysim/abm/models/trip_destination.py +++ b/activitysim/abm/models/trip_destination.py @@ -1374,18 +1374,31 @@ def run_trip_destination( # - assign choices to this trip's destinations # if estimator, then the choices will already have been overridden by trip_destination_simulate # because we need to overwrite choices before any failed choices are suppressed - assign_in_place(trips, destinations_df.choice.to_frame("destination")) + assign_in_place( + trips, + destinations_df.choice.to_frame("destination"), + state.settings.downcast_int, + state.settings.downcast_int, + ) if want_logsums: assert "logsum" in destinations_df.columns assign_in_place( - trips, destinations_df.logsum.to_frame(logsum_column_name) + trips, + destinations_df.logsum.to_frame(logsum_column_name), + state.settings.downcast_int, + state.settings.downcast_int, ) # - assign choice to next trip's origin destinations_df.index = nth_trips.next_trip_id.reindex( destinations_df.index ) - assign_in_place(trips, destinations_df.choice.to_frame("origin")) + assign_in_place( + trips, + destinations_df.choice.to_frame("origin"), + state.settings.downcast_int, + state.settings.downcast_int, + ) del trips["next_trip_id"] diff --git a/activitysim/abm/models/trip_mode_choice.py b/activitysim/abm/models/trip_mode_choice.py index 1b8a82ceb..745833324 100644 --- a/activitysim/abm/models/trip_mode_choice.py +++ b/activitysim/abm/models/trip_mode_choice.py @@ -249,7 +249,12 @@ def trip_mode_choice( ) # so we can trace with annotations - assign_in_place(trips_segment, choices) + assign_in_place( + trips_segment, + choices, + state.settings.downcast_int, + state.settings.downcast_int, + ) state.tracing.trace_df( trips_segment, @@ -300,7 +305,9 @@ def trip_mode_choice( cols_to_keep_df = pd.concat(cols_to_keep_list) choices_df = pd.concat([choices_df, cols_to_keep_df], axis=1) - assign_in_place(trips_df, choices_df) + assign_in_place( + trips_df, choices_df, state.settings.downcast_int, state.settings.downcast_int + ) if state.is_table("school_escort_tours") & model_settings.get( "FORCE_ESCORTEE_CHAUFFEUR_MODE_MATCH", True diff --git a/activitysim/abm/models/trip_purpose_and_destination.py b/activitysim/abm/models/trip_purpose_and_destination.py index 3e7baf2b0..390d9199f 100644 --- a/activitysim/abm/models/trip_purpose_and_destination.py +++ b/activitysim/abm/models/trip_purpose_and_destination.py @@ -216,7 +216,12 @@ def trip_purpose_and_destination( ) trips_df = trips - assign_in_place(trips_df, processed_trips) + assign_in_place( + trips_df, + processed_trips, + state.settings.downcast_int, + state.settings.downcast_int, + ) trips_df = cleanup_failed_trips(trips_df) diff --git a/activitysim/abm/models/util/trip.py b/activitysim/abm/models/util/trip.py index c6d8e5075..489a02eb8 100644 --- a/activitysim/abm/models/util/trip.py +++ b/activitysim/abm/models/util/trip.py @@ -84,7 +84,12 @@ def cleanup_failed_trips(trips): ascending=False ) - assign_in_place(trips, patch_trips[["trip_num", "trip_count"]]) + assign_in_place( + trips, + patch_trips[["trip_num", "trip_count"]], + state.settings.downcast_int, + state.settings.downcast_int, + ) # origin needs to match the previous destination # (leaving first origin alone as it's already set correctly) diff --git a/activitysim/core/assign.py b/activitysim/core/assign.py index 40864a3e6..f832e6b59 100644 --- a/activitysim/core/assign.py +++ b/activitysim/core/assign.py @@ -425,7 +425,10 @@ def rng_lognormal(random_draws, mu, sigma, broadcast=True, scale=False): variables = util.df_from_dict(variables, index=df.index) util.auto_opt_pd_dtypes( - variables, downcast_int=False, downcast_float=False, inplace=True + variables, + downcast_int=state.settings.downcast_int, + downcast_float=state.settings.downcast_float, + inplace=True, ) return variables, trace_results, trace_assigned_locals diff --git a/activitysim/core/configuration/top.py b/activitysim/core/configuration/top.py index 3fd38baee..2ed0f96cd 100644 --- a/activitysim/core/configuration/top.py +++ b/activitysim/core/configuration/top.py @@ -635,6 +635,24 @@ class Settings(PydanticBase, extra="allow", validate_assignment=True): the results from the previous time that step was run. """ + downcast_int: bool = False + """ + automatically downcasting integer variables. + + Use of this setting should be tested by the region to confirm result consistency. + + .. versionadded:: 1.3 + """ + + downcast_float: bool = False + """ + automatically downcasting float variables. + + Use of this setting should be tested by the region to confirm result consistency. + + .. versionadded:: 1.3 + """ + other_settings: dict[str, Any] = None def _get_attr(self, attr): diff --git a/activitysim/core/expressions.py b/activitysim/core/expressions.py index b57eca94c..3d4125858 100644 --- a/activitysim/core/expressions.py +++ b/activitysim/core/expressions.py @@ -153,7 +153,9 @@ def assign_columns( results = compute_columns(state, df, model_settings, locals_dict, trace_label) - assign_in_place(df, results) + assign_in_place( + df, results, state.settings.downcast_int, state.settings.downcast_float + ) # ################################################################################################## @@ -188,7 +190,9 @@ def annotate_preprocessors( trace_label=trace_label, ) - assign_in_place(df, results) + assign_in_place( + df, results, state.settings.downcast_int, state.settings.downcast_float + ) def filter_chooser_columns(choosers, chooser_columns): From 3aefc5979a46095ba72ec29cd22915aeac259f80 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Fri, 15 Dec 2023 20:29:22 -0500 Subject: [PATCH 29/41] fix primary purpose in school escorting --- .../abm/models/util/school_escort_tours_trips.py | 13 +++++++++++++ 1 file changed, 13 insertions(+) diff --git a/activitysim/abm/models/util/school_escort_tours_trips.py b/activitysim/abm/models/util/school_escort_tours_trips.py index 833edee70..42108dfbd 100644 --- a/activitysim/abm/models/util/school_escort_tours_trips.py +++ b/activitysim/abm/models/util/school_escort_tours_trips.py @@ -446,6 +446,19 @@ def merge_school_escort_trips_into_pipeline(state: workflow.State): # for better merge with trips created in stop frequency school_escort_trips["failed"] = False + # make sure the pandas categorical columns share the same categories before cancat + # union categoricals + for c in trips.columns.intersection(school_escort_trips.columns): + if isinstance(trips[c].dtype, pd.api.types.CategoricalDtype): + if isinstance(school_escort_trips[c].dtype, pd.api.types.CategoricalDtype): + from pandas.api.types import union_categoricals + + uc = union_categoricals([trips[c], school_escort_trips[c]]) + trips[c] = pd.Categorical(trips[c], categories=uc.categories) + school_escort_trips[c] = pd.Categorical( + school_escort_trips[c], categories=uc.categories + ) + trips = pd.concat( [ trips, From 21fdb9fb011d350ba2e4dc807fa99bd7db7239f8 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 27 Dec 2023 16:23:31 -0500 Subject: [PATCH 30/41] sort mode categories --- activitysim/abm/models/util/mode.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/activitysim/abm/models/util/mode.py b/activitysim/abm/models/util/mode.py index f46055912..a006dd903 100644 --- a/activitysim/abm/models/util/mode.py +++ b/activitysim/abm/models/util/mode.py @@ -83,7 +83,7 @@ def mode_choice_simulate( choices[mode_column_name] = choices[mode_column_name].map( dict(list(zip(list(range(len(alts))), alts))) ) - cat_type = pd.api.types.CategoricalDtype(alts.tolist() + [""], ordered=False) + cat_type = pd.api.types.CategoricalDtype([""] + alts.tolist(), ordered=True) choices[mode_column_name] = choices[mode_column_name].astype(cat_type) return choices From 379c4f4e65a2580fe34e936e51c64e017d116cbf Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 27 Dec 2023 16:23:53 -0500 Subject: [PATCH 31/41] fix estimation tests --- activitysim/core/estimation.py | 17 +++++++++++++++++ 1 file changed, 17 insertions(+) diff --git a/activitysim/core/estimation.py b/activitysim/core/estimation.py index 8077e3318..5282b70d3 100644 --- a/activitysim/core/estimation.py +++ b/activitysim/core/estimation.py @@ -690,6 +690,23 @@ def get_survey_values(self, model_values, table_name, column_names): values[c] = survey_values + # if the categorical column exists in the model data, use the same data type + if isinstance(model_values, pd.Series): + if isinstance(model_values.dtype, pd.api.types.CategoricalDtype): + for v in values[c].dropna().unique(): + if not v in model_values.cat.categories: + model_values = model_values.cat.add_categories([v]) + values[c] = values[c].astype(model_values.dtype) + elif isinstance(model_values, pd.DataFrame): + if c in model_values.columns: + if isinstance(model_values[c].dtype, pd.api.types.CategoricalDtype): + for v in values[c].dropna().unique(): + if not v in model_values[c].cat.categories: + model_values[c] = model_values[c].cat.add_categories( + [v] + ) + values[c] = values[c].astype(model_values[c].dtype) + return values[column_name] if column_name else values From 78db977b36a21c4eb8ca50fd5d9928e6e3ca9f2d Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Tue, 2 Jan 2024 11:13:39 -0500 Subject: [PATCH 32/41] fix typo --- activitysim/abm/models/atwork_subtour_destination.py | 4 ++-- activitysim/abm/models/atwork_subtour_mode_choice.py | 2 +- activitysim/abm/models/atwork_subtour_scheduling.py | 2 +- activitysim/abm/models/joint_tour_destination.py | 4 ++-- activitysim/abm/models/joint_tour_participation.py | 2 +- activitysim/abm/models/joint_tour_scheduling.py | 2 +- activitysim/abm/models/mandatory_scheduling.py | 2 +- activitysim/abm/models/non_mandatory_destination.py | 4 ++-- activitysim/abm/models/non_mandatory_scheduling.py | 2 +- activitysim/abm/models/parking_location_choice.py | 4 ++-- activitysim/abm/models/stop_frequency.py | 6 +++--- activitysim/abm/models/tour_mode_choice.py | 7 +++++-- activitysim/abm/models/trip_destination.py | 6 +++--- activitysim/abm/models/trip_mode_choice.py | 4 ++-- activitysim/abm/models/trip_purpose_and_destination.py | 2 +- activitysim/abm/models/util/trip.py | 2 +- activitysim/core/util.py | 2 ++ 17 files changed, 31 insertions(+), 26 deletions(-) diff --git a/activitysim/abm/models/atwork_subtour_destination.py b/activitysim/abm/models/atwork_subtour_destination.py index 593962d1e..cd37f14d3 100644 --- a/activitysim/abm/models/atwork_subtour_destination.py +++ b/activitysim/abm/models/atwork_subtour_destination.py @@ -87,7 +87,7 @@ def atwork_subtour_destination( tours, subtours[[destination_column_name]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) if want_logsums: @@ -96,7 +96,7 @@ def atwork_subtour_destination( tours, subtours[[logsum_column_name]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/atwork_subtour_mode_choice.py b/activitysim/abm/models/atwork_subtour_mode_choice.py index 09f107ac9..397b98248 100644 --- a/activitysim/abm/models/atwork_subtour_mode_choice.py +++ b/activitysim/abm/models/atwork_subtour_mode_choice.py @@ -186,7 +186,7 @@ def atwork_subtour_mode_choice( ) assign_in_place( - tours, choices_df, state.settings.downcast_int, state.settings.downcast_int + tours, choices_df, state.settings.downcast_int, state.settings.downcast_float ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/atwork_subtour_scheduling.py b/activitysim/abm/models/atwork_subtour_scheduling.py index e16199c74..f3ffadeb4 100644 --- a/activitysim/abm/models/atwork_subtour_scheduling.py +++ b/activitysim/abm/models/atwork_subtour_scheduling.py @@ -102,7 +102,7 @@ def atwork_subtour_scheduling( ) assign_in_place( - tours, tdd_choices, state.settings.downcast_int, state.settings.downcast_int + tours, tdd_choices, state.settings.downcast_int, state.settings.downcast_float ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/joint_tour_destination.py b/activitysim/abm/models/joint_tour_destination.py index 1312e15cd..e07df6529 100644 --- a/activitysim/abm/models/joint_tour_destination.py +++ b/activitysim/abm/models/joint_tour_destination.py @@ -85,7 +85,7 @@ def joint_tour_destination( tours, joint_tours[["destination"]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) state.add_table("tours", tours) @@ -95,7 +95,7 @@ def joint_tour_destination( tours, joint_tours[[logsum_column_name]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) tracing.print_summary("destination", joint_tours.destination, describe=True) diff --git a/activitysim/abm/models/joint_tour_participation.py b/activitysim/abm/models/joint_tour_participation.py index bd08d6654..e8aa21a0c 100644 --- a/activitysim/abm/models/joint_tour_participation.py +++ b/activitysim/abm/models/joint_tour_participation.py @@ -445,7 +445,7 @@ def joint_tour_participation( tours, joint_tours[["person_id", "number_of_participants"]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/joint_tour_scheduling.py b/activitysim/abm/models/joint_tour_scheduling.py index 0b20208dc..2c97e2dc3 100644 --- a/activitysim/abm/models/joint_tour_scheduling.py +++ b/activitysim/abm/models/joint_tour_scheduling.py @@ -141,7 +141,7 @@ def joint_tour_scheduling( ) assign_in_place( - tours, choices, state.settings.downcast_int, state.settings.downcast_int + tours, choices, state.settings.downcast_int, state.settings.downcast_float ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/mandatory_scheduling.py b/activitysim/abm/models/mandatory_scheduling.py index 594d3dd54..64fc26215 100644 --- a/activitysim/abm/models/mandatory_scheduling.py +++ b/activitysim/abm/models/mandatory_scheduling.py @@ -63,7 +63,7 @@ def mandatory_tour_scheduling( ) assign_in_place( - tours, choices, state.settings.downcast_int, state.settings.downcast_int + tours, choices, state.settings.downcast_int, state.settings.downcast_float ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/non_mandatory_destination.py b/activitysim/abm/models/non_mandatory_destination.py index acf288b8d..2af6e3287 100644 --- a/activitysim/abm/models/non_mandatory_destination.py +++ b/activitysim/abm/models/non_mandatory_destination.py @@ -104,7 +104,7 @@ def non_mandatory_tour_destination( tours, non_mandatory_tours[["destination"]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) if want_logsums: @@ -113,7 +113,7 @@ def non_mandatory_tour_destination( tours, non_mandatory_tours[[logsum_column_name]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) assert all( diff --git a/activitysim/abm/models/non_mandatory_scheduling.py b/activitysim/abm/models/non_mandatory_scheduling.py index c9cc650fb..4e444107b 100644 --- a/activitysim/abm/models/non_mandatory_scheduling.py +++ b/activitysim/abm/models/non_mandatory_scheduling.py @@ -48,7 +48,7 @@ def non_mandatory_tour_scheduling( ) assign_in_place( - tours, choices, state.settings.downcast_int, state.settings.downcast_int + tours, choices, state.settings.downcast_int, state.settings.downcast_float ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/parking_location_choice.py b/activitysim/abm/models/parking_location_choice.py index 6ff8d64fe..d14c69fee 100644 --- a/activitysim/abm/models/parking_location_choice.py +++ b/activitysim/abm/models/parking_location_choice.py @@ -273,7 +273,7 @@ def run_parking_destination( trips, parking_df.to_frame(parking_location_column_name), state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) trips[parking_location_column_name] = trips[ parking_location_column_name @@ -357,7 +357,7 @@ def parking_location( trips_df, parking_locations.to_frame(alt_destination_col_name), state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) state.add_table("trips", trips_df) diff --git a/activitysim/abm/models/stop_frequency.py b/activitysim/abm/models/stop_frequency.py index 2c349b97e..10b6cc5b7 100644 --- a/activitysim/abm/models/stop_frequency.py +++ b/activitysim/abm/models/stop_frequency.py @@ -97,7 +97,7 @@ def stop_frequency( tours_merged, annotations, state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) tracing.print_summary( @@ -196,7 +196,7 @@ def stop_frequency( tours, choices.to_frame("stop_frequency"), state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) # FIXME should have added this when tours created? @@ -207,7 +207,7 @@ def stop_frequency( tours, tours_merged[["primary_purpose"]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) state.add_table("tours", tours) diff --git a/activitysim/abm/models/tour_mode_choice.py b/activitysim/abm/models/tour_mode_choice.py index 61d320cc4..b0e5c3686 100644 --- a/activitysim/abm/models/tour_mode_choice.py +++ b/activitysim/abm/models/tour_mode_choice.py @@ -407,13 +407,16 @@ def tour_mode_choice_simulate( primary_tours, choices_df, state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) # update tours table with mode choice (and optionally logsums) all_tours = tours assign_in_place( - all_tours, choices_df, state.settings.downcast_int, state.settings.downcast_int + all_tours, + choices_df, + state.settings.downcast_int, + state.settings.downcast_float, ) if state.is_table("school_escort_tours") & model_settings.get( diff --git a/activitysim/abm/models/trip_destination.py b/activitysim/abm/models/trip_destination.py index f96333a5c..42f586b1d 100644 --- a/activitysim/abm/models/trip_destination.py +++ b/activitysim/abm/models/trip_destination.py @@ -1378,7 +1378,7 @@ def run_trip_destination( trips, destinations_df.choice.to_frame("destination"), state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) if want_logsums: assert "logsum" in destinations_df.columns @@ -1386,7 +1386,7 @@ def run_trip_destination( trips, destinations_df.logsum.to_frame(logsum_column_name), state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) # - assign choice to next trip's origin @@ -1397,7 +1397,7 @@ def run_trip_destination( trips, destinations_df.choice.to_frame("origin"), state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) del trips["next_trip_id"] diff --git a/activitysim/abm/models/trip_mode_choice.py b/activitysim/abm/models/trip_mode_choice.py index 745833324..27a14ae4c 100644 --- a/activitysim/abm/models/trip_mode_choice.py +++ b/activitysim/abm/models/trip_mode_choice.py @@ -253,7 +253,7 @@ def trip_mode_choice( trips_segment, choices, state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) state.tracing.trace_df( @@ -306,7 +306,7 @@ def trip_mode_choice( choices_df = pd.concat([choices_df, cols_to_keep_df], axis=1) assign_in_place( - trips_df, choices_df, state.settings.downcast_int, state.settings.downcast_int + trips_df, choices_df, state.settings.downcast_int, state.settings.downcast_float ) if state.is_table("school_escort_tours") & model_settings.get( diff --git a/activitysim/abm/models/trip_purpose_and_destination.py b/activitysim/abm/models/trip_purpose_and_destination.py index 390d9199f..e61a71805 100644 --- a/activitysim/abm/models/trip_purpose_and_destination.py +++ b/activitysim/abm/models/trip_purpose_and_destination.py @@ -220,7 +220,7 @@ def trip_purpose_and_destination( trips_df, processed_trips, state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) trips_df = cleanup_failed_trips(trips_df) diff --git a/activitysim/abm/models/util/trip.py b/activitysim/abm/models/util/trip.py index 489a02eb8..909738b3e 100644 --- a/activitysim/abm/models/util/trip.py +++ b/activitysim/abm/models/util/trip.py @@ -88,7 +88,7 @@ def cleanup_failed_trips(trips): trips, patch_trips[["trip_num", "trip_count"]], state.settings.downcast_int, - state.settings.downcast_int, + state.settings.downcast_float, ) # origin needs to match the previous destination diff --git a/activitysim/core/util.py b/activitysim/core/util.py index ee00b219c..1876063e2 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -326,6 +326,8 @@ def assign_in_place(df, df2, downcast_int=False, downcast_float=False): assignment left-hand-side (dest) df2: pd.DataFrame assignment right-hand-side (source) + downcast_int: bool + if True, downcast int columns if possible downcast_float: bool if True, downcast float columns if possible Returns From 08f3be89643730f1b88e68f0448a6fe27008677f Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 31 Jan 2024 13:44:22 -0500 Subject: [PATCH 33/41] remove code in comments --- activitysim/core/util.py | 10 ++++------ 1 file changed, 4 insertions(+), 6 deletions(-) diff --git a/activitysim/core/util.py b/activitysim/core/util.py index 1876063e2..f2e273063 100644 --- a/activitysim/core/util.py +++ b/activitysim/core/util.py @@ -444,12 +444,10 @@ def auto_opt_pd_dtypes( else: df[col] = pd.to_numeric(df[col], downcast="integer") continue - # there are calcualtions in asim that expect results in negative values - # operations on two unsigned types will not produce negative values - # if df[col].min() >= 0: - # df[col] = pd.to_numeric(df[col], downcast='unsigned') - # else: - # df[col] = pd.to_numeric(df[col], downcast='integer') + # Initially thought of using unsigned integers, BUT: + # There are calculations in asim (e.g., UECs) that expect results in negative values, + # and operations on two unsigned types will not produce negative values, + # therefore, we did not use unsigned integers. if not inplace: return df From cfe034a14a3aec8a58fe7d340b66d2f0c942d0b7 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 31 Jan 2024 14:46:37 -0500 Subject: [PATCH 34/41] add check column type in the tests in util/test --- .../test/test_mandatory_tour_frequency.py | 27 +++++++++++++------ .../test/test_non_mandatory_tour_frequency.py | 21 ++++++++++----- 2 files changed, 34 insertions(+), 14 deletions(-) diff --git a/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py b/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py index 47152dafe..8f2df86e8 100644 --- a/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py +++ b/activitysim/abm/models/util/test/test_mandatory_tour_frequency.py @@ -59,14 +59,25 @@ def test_mtf(): check_dtype=False, ) - pdt.assert_series_equal( - mandatory_tours.tour_type.astype(str), - pd.Series( - ["work", "work", "school", "work", "school", "school", "school"], - index=idx, - name="tour_type", - ), - ) + # check if the tour_type variable is pandas categorical + if isinstance(mandatory_tours.tour_type.dtype, pd.api.types.CategoricalDtype): + pdt.assert_series_equal( + mandatory_tours.tour_type.astype(str), + pd.Series( + ["work", "work", "school", "work", "school", "school", "school"], + index=idx, + name="tour_type", + ), + ) + else: + pdt.assert_series_equal( + mandatory_tours.tour_type, + pd.Series( + ["work", "work", "school", "work", "school", "school", "school"], + index=idx, + name="tour_type", + ), + ) # tour_nums for work_and_school non-worker should be flipped pdt.assert_series_equal( diff --git a/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py b/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py index 0c28174d4..fba49138e 100644 --- a/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py +++ b/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py @@ -40,9 +40,18 @@ def test_nmtf(): nmt.person_id, pd.Series([0, 2, 2, 3], index=idx, name="person_id") ) - pdt.assert_series_equal( - nmt.tour_type.astype(str), - pd.Series( - ["shopping", "escort", "escort", "othmaint"], index=idx, name="tour_type" - ), - ) + # check if the tour_type variable is pandas categorical + if isinstance(nmt.tour_type.dtype, pd.api.types.CategoricalDtype): + pdt.assert_series_equal( + nmt.tour_type.astype(str), + pd.Series( + ["shopping", "escort", "escort", "othmaint"], index=idx, name="tour_type" + ), + ) + else: + pdt.assert_series_equal( + nmt.tour_type, + pd.Series( + ["shopping", "escort", "escort", "othmaint"], index=idx, name="tour_type" + ), + ) From 83d9e67fa3c9ad057679fb4897b5f86407de5502 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 31 Jan 2024 15:13:45 -0500 Subject: [PATCH 35/41] remove unwanted tracing @jpn-- I'm gonna remove these files. I used them to write out the memory of each column in the interaction_df. It was useful when I did the diagnosis, but probably not needed in actual implementation. --- activitysim/core/interaction_simulate.py | 39 ------------------------ 1 file changed, 39 deletions(-) diff --git a/activitysim/core/interaction_simulate.py b/activitysim/core/interaction_simulate.py index 48650b1a1..7288d4952 100644 --- a/activitysim/core/interaction_simulate.py +++ b/activitysim/core/interaction_simulate.py @@ -12,10 +12,6 @@ import numpy as np import pandas as pd -import psutil -import os -import io - from . import chunk, config, logit, simulate, tracing, workflow logger = logging.getLogger(__name__) @@ -80,41 +76,6 @@ def eval_interaction_utilities( trace_label = tracing.extend_trace_label(trace_label, "eval_interaction_utils") logger.info("Running eval_interaction_utilities on %s rows" % df.shape[0]) - logger.info("Writing out interaction df info") - - buffer = io.StringIO() - df.info(memory_usage="deep", buf=buffer, verbose=True, show_counts=True) - s = buffer.getvalue() - # check if output dir exists - if os.path.exists(state.filesystem.output_dir): - with open( - os.path.join( - state.filesystem.output_dir, trace_label + ".interaction_df.info.txt" - ), - "w", - encoding="utf-8", - ) as f: - f.write(s) - - df.memory_usage(deep=True).to_csv( - os.path.join( - state.filesystem.output_dir, - trace_label + ".interaction_df.memory_usage_deep.txt", - ) - ) - - df.memory_usage().to_csv( - os.path.join( - state.filesystem.output_dir, - trace_label + ".interaction_df.memory_usage.txt", - ) - ) - - process = psutil.Process(os.getpid()) - logger.info( - "PID RSS when writing out interaction df info: %s" % process.memory_info().rss - ) - sharrow_enabled = state.settings.sharrow if locals_d is not None and locals_d.get("_sharrow_skip", False): From 3c60efc4e7375cef8a2a9d992e4e27c677139ac9 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 31 Jan 2024 16:01:25 -0500 Subject: [PATCH 36/41] blacken --- .../models/util/test/test_non_mandatory_tour_frequency.py | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py b/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py index fba49138e..6dc8f591e 100644 --- a/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py +++ b/activitysim/abm/models/util/test/test_non_mandatory_tour_frequency.py @@ -45,13 +45,17 @@ def test_nmtf(): pdt.assert_series_equal( nmt.tour_type.astype(str), pd.Series( - ["shopping", "escort", "escort", "othmaint"], index=idx, name="tour_type" + ["shopping", "escort", "escort", "othmaint"], + index=idx, + name="tour_type", ), ) else: pdt.assert_series_equal( nmt.tour_type, pd.Series( - ["shopping", "escort", "escort", "othmaint"], index=idx, name="tour_type" + ["shopping", "escort", "escort", "othmaint"], + index=idx, + name="tour_type", ), ) From a9dd3831e23e3c58e7ba1c86c7866074540933a9 Mon Sep 17 00:00:00 2001 From: Sijia Wang Date: Wed, 31 Jan 2024 21:36:09 -0500 Subject: [PATCH 37/41] move comment --- activitysim/abm/models/vehicle_type_choice.py | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/activitysim/abm/models/vehicle_type_choice.py b/activitysim/abm/models/vehicle_type_choice.py index 5192d23d8..d29aef7e5 100644 --- a/activitysim/abm/models/vehicle_type_choice.py +++ b/activitysim/abm/models/vehicle_type_choice.py @@ -230,10 +230,9 @@ def construct_model_alternatives( ), f"missing vehicle data for alternatives:\n {missing_alts}" else: # eliminate alternatives if no vehicle type data + # if this happens, alts_wide is not the same length as alts_long alts_wide = alts_wide[alts_wide._merge != "left_only"] - alts_wide.drop( - columns="_merge", inplace=True - ) # if this happens, alt_wide length will not match alt_long + alts_wide.drop(columns="_merge", inplace=True) # converting age to integer to allow interactions in utilities alts_wide["age"] = alts_wide["age"].astype(int) From ccc195c070db0a7241711f9277b34448bfe9df2a Mon Sep 17 00:00:00 2001 From: Jeff Newman Date: Fri, 2 Feb 2024 11:11:08 -0600 Subject: [PATCH 38/41] relax progressive checks for categorical dtypes --- activitysim/core/workflow/checkpoint.py | 33 ++++++++++++++++++++++--- 1 file changed, 29 insertions(+), 4 deletions(-) diff --git a/activitysim/core/workflow/checkpoint.py b/activitysim/core/workflow/checkpoint.py index b553460a2..8771b4129 100644 --- a/activitysim/core/workflow/checkpoint.py +++ b/activitysim/core/workflow/checkpoint.py @@ -958,7 +958,9 @@ def restore_from(self, location: Path, checkpoint_name: str = LAST_CHECKPOINT): self.load(checkpoint_name, store=from_store) logger.debug(f"checkpoint.restore_from of {checkpoint_name} complete") - def check_against(self, location: Path, checkpoint_name: str): + def check_against( + self, location: Path, checkpoint_name: str, strict_categoricals: bool = False + ): """ Check that the tables in this State match those in an archived pipeline. @@ -966,6 +968,11 @@ def check_against(self, location: Path, checkpoint_name: str): ---------- location : Path-like checkpoint_name : str + strict_categoricals : bool, default False + If True, check that categorical columns have the same categories + in both the current state and the checkpoint. Otherwise, the dtypes + of categorical columns are ignored, and only the values themselves are + checked to confirm they match. Raises ------ @@ -1033,9 +1040,27 @@ def check_against(self, location: Path, checkpoint_name: str): local_table[ref_table.columns], ref_table, check_dtype=False ) except Exception as err: - raise AssertionError( - f"checkpoint {checkpoint_name!r} table {table_name!r}, {str(err)}" - ) + if not strict_categoricals: + try: + pd.testing.assert_frame_equal( + local_table[ref_table.columns], + ref_table, + check_dtype=False, + check_categorical=False, + ) + except Exception as err2: + raise AssertionError( + f"checkpoint {checkpoint_name!r} table {table_name!r}, {str(err)}" + ) + else: + warnings.warn( + f"checkpoint {checkpoint_name!r} table {table_name!r}, " + f"values match but categorical dtype does not" + ) + else: + raise AssertionError( + f"checkpoint {checkpoint_name!r} table {table_name!r}, {str(err)}" + ) else: logger.info(f"table {table_name!r}: ok") From f81211ad3fe3283d8f82e8a02b5cba70715ff320 Mon Sep 17 00:00:00 2001 From: Jeff Newman Date: Fri, 2 Feb 2024 11:34:02 -0600 Subject: [PATCH 39/41] update pointers --- activitysim/examples/external_example_manifest.yaml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/activitysim/examples/external_example_manifest.yaml b/activitysim/examples/external_example_manifest.yaml index 0be270636..5face8e8e 100644 --- a/activitysim/examples/external_example_manifest.yaml +++ b/activitysim/examples/external_example_manifest.yaml @@ -13,11 +13,11 @@ # prototype_mtc: - url: https://github.com/jpn--/activitysim-prototype-mtc/archive/refs/tags/v1.3.1.tar.gz + url: https://github.com/ActivitySim/activitysim-prototype-mtc/archive/refs/tags/v1.3.1.tar.gz sha256: ec53c6e72da1444bd5808de8c644cea75db284dfcc419b776575ba532b3ccb87 assets: test/prototype_mtc_reference_pipeline.zip: - url: https://github.com/jpn--/activitysim-prototype-mtc/releases/download/v1.3.1/prototype_mtc_reference_pipeline.zip + url: https://github.com/ActivitySim/activitysim-prototype-mtc/releases/download/v1.3.1/prototype_mtc_reference_pipeline.zip sha256: 394e5b403d4c61d5214493cefe161432db840ba4967c23c999d914178d43a1f0 estimation_example: From 54afbb0f466df2cc324070d2da81e62eecfb5dba Mon Sep 17 00:00:00 2001 From: Jeff Newman Date: Mon, 5 Feb 2024 18:10:02 -0600 Subject: [PATCH 40/41] use empty string as NaN --- activitysim/core/workflow/checkpoint.py | 2 +- activitysim/core/workflow/state.py | 27 ++++++++++++++++--------- 2 files changed, 18 insertions(+), 11 deletions(-) diff --git a/activitysim/core/workflow/checkpoint.py b/activitysim/core/workflow/checkpoint.py index 8771b4129..b7fe5900a 100644 --- a/activitysim/core/workflow/checkpoint.py +++ b/activitysim/core/workflow/checkpoint.py @@ -1050,7 +1050,7 @@ def check_against( ) except Exception as err2: raise AssertionError( - f"checkpoint {checkpoint_name!r} table {table_name!r}, {str(err)}" + f"checkpoint {checkpoint_name!r} table {table_name!r}, {str(err)}\nfrom: {str(err2)}" ) else: warnings.warn( diff --git a/activitysim/core/workflow/state.py b/activitysim/core/workflow/state.py index 479b032c7..e00e20c94 100644 --- a/activitysim/core/workflow/state.py +++ b/activitysim/core/workflow/state.py @@ -1082,16 +1082,23 @@ def extend_table(self, table_name, df, axis=0): missing_df_str_columns = [] # union categoricals - for c in table_df.columns.intersection(df.columns): - if isinstance(table_df[c].dtype, pd.api.types.CategoricalDtype): - if isinstance(df[c].dtype, pd.api.types.CategoricalDtype): - from pandas.api.types import union_categoricals - - uc = union_categoricals([table_df[c], df[c]]) - table_df[c] = pd.Categorical( - table_df[c], categories=uc.categories - ) - df[c] = pd.Categorical(df[c], categories=uc.categories) + for c in table_df.columns: + if c in df.columns: + if isinstance(table_df[c].dtype, pd.api.types.CategoricalDtype): + if isinstance(df[c].dtype, pd.api.types.CategoricalDtype): + from pandas.api.types import union_categoricals + + uc = union_categoricals([table_df[c], df[c]]) + table_df[c] = pd.Categorical( + table_df[c], categories=uc.categories + ) + df[c] = pd.Categorical(df[c], categories=uc.categories) + else: + # when the existing categorical type has an empty string as a category, + # we will use that as the missing value instead of NaN + if isinstance(table_df[c].dtype, pd.api.types.CategoricalDtype): + if "" in table_df[c].cat.categories: + missing_df_str_columns.append(c) # preserve existing column order df = pd.concat([table_df, df], sort=False, axis=axis) From 277bbb81a6a51ef0b54b7c20182e33c47a367687 Mon Sep 17 00:00:00 2001 From: Jeff Newman Date: Tue, 6 Feb 2024 09:28:25 -0600 Subject: [PATCH 41/41] update mtc_ext progressive test for categorical outputs --- activitysim/core/test/__init__.py | 1 + activitysim/core/test/_tools.py | 40 +++++++++++++++++ ...totype_mtc_extended_reference_pipeline.zip | Bin 460258 -> 435093 bytes .../test/test_mtc_extended.py | 42 ++++++------------ 4 files changed, 54 insertions(+), 29 deletions(-) diff --git a/activitysim/core/test/__init__.py b/activitysim/core/test/__init__.py index 9b942d5d2..487f43a34 100644 --- a/activitysim/core/test/__init__.py +++ b/activitysim/core/test/__init__.py @@ -14,4 +14,5 @@ assert_equal, assert_frame_substantively_equal, run_if_exists, + progressive_checkpoint_test, ) diff --git a/activitysim/core/test/_tools.py b/activitysim/core/test/_tools.py index 930f25d40..b8f338ce9 100644 --- a/activitysim/core/test/_tools.py +++ b/activitysim/core/test/_tools.py @@ -139,3 +139,43 @@ def assert_equal(x, y): # pytest.approx() does not support nested data structures for x_, y_ in zip(x, y): assert x_ == pytest.approx(y_) + + +def progressive_checkpoint_test( + state, ref_target: Path, expected_models: list[str], name: str = "unnamed-example" +) -> None: + """ + Compare the results of a pipeline to a reference pipeline. + + Parameters + ---------- + state : workflow.State + ref_target : Path + Location of the reference pipeline file. If this file does not exist, + it will be created (and the test will fail). + expected_models : list[str] + List of model names to run and compare results against the reference + pipeline. + name : str, optional + Name of the test example used in logging, by default "unnamed-example" + """ + + for step_name in expected_models: + state.run.by_name(step_name) + if ref_target.exists(): + try: + state.checkpoint.check_against(ref_target, checkpoint_name=step_name) + except Exception: + print(f"> {name} {step_name}: ERROR") + raise + else: + print(f"> {name} {step_name}: ok") + else: + print(f"> {name} {step_name}: regenerated") + + # generate the reference pipeline if it did not exist + if not ref_target.exists(): + state.checkpoint.store.make_zip_archive(ref_target) + raise RuntimeError( + f"Reference pipeline {ref_target} did not exist, so it was created." + ) diff --git a/activitysim/examples/prototype_mtc_extended/test/prototype_mtc_extended_reference_pipeline.zip 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z{9kU%*?Sp<7<0@4qw5s*mM`ppc3*;7Tnbp?eR z(lmTR0Ru5Yo<%^yh|vcCU?(!Z*>uEe44;Nc{y|Q}zMb8WheC`wM_?Hy@lJ}H1L^_; Rz-8!<5HyXxaRdJ6{{wgdI&=U4 diff --git a/activitysim/examples/prototype_mtc_extended/test/test_mtc_extended.py b/activitysim/examples/prototype_mtc_extended/test/test_mtc_extended.py index b3ec258ba..f78b7f8b9 100644 --- a/activitysim/examples/prototype_mtc_extended/test/test_mtc_extended.py +++ b/activitysim/examples/prototype_mtc_extended/test/test_mtc_extended.py @@ -219,7 +219,6 @@ def test_prototype_mtc_extended_mp_shadow_pricing(): ] -@test.run_if_exists("prototype_mtc_extended_reference_pipeline.zip") def test_prototype_mtc_extended_progressive(): import activitysim.abm # register components @@ -251,20 +250,13 @@ def test_prototype_mtc_extended_progressive(): assert state.settings.chunk_size == 0 assert state.settings.sharrow == False - for step_name in EXPECTED_MODELS: - state.run.by_name(step_name) - try: - state.checkpoint.check_against( - Path(__file__).parent.joinpath( - "prototype_mtc_extended_reference_pipeline.zip" - ), - checkpoint_name=step_name, - ) - except Exception: - print(f"> prototype_mtc_extended {step_name}: ERROR") - raise - else: - print(f"> prototype_mtc_extended {step_name}: ok") + ref_target = Path(__file__).parent.joinpath( + "prototype_mtc_extended_reference_pipeline.zip" + ) + + test.progressive_checkpoint_test( + state, ref_target, EXPECTED_MODELS, name="prototype_mtc_extended" + ) @pytest.mark.parametrize( @@ -307,20 +299,12 @@ def test_prototype_mtc_extended_with_chunking(chunksize): assert state.settings.sharrow == False assert state.settings.chunk_size == chunksize - for step_name in EXPECTED_MODELS: - state.run.by_name(step_name) - try: - state.checkpoint.check_against( - Path(__file__).parent.joinpath( - "prototype_mtc_extended_reference_pipeline.zip" - ), - checkpoint_name=step_name, - ) - except Exception: - print(f"> prototype_mtc_extended {step_name}: ERROR") - raise - else: - print(f"> prototype_mtc_extended {step_name}: ok") + test.progressive_checkpoint_test( + state, + Path(__file__).parent.joinpath("prototype_mtc_extended_reference_pipeline.zip"), + EXPECTED_MODELS, + name="prototype_mtc_extended_with_chunking", + ) if __name__ == "__main__":