Merge pull request #17 from NREL/16-update-cost-variable-names

16 update cost variable names

.github/workflows/deploy_pages.yml

@@ -6,6 +6,15 @@ on:
 permissions:
   contents: write
 jobs:
+  build:
+    runs-on: ubuntu-latest
+    steps:
+      - uses: actions/setup-python@v5
+        with:
+          python-version: 3.x
+      - run: |
+          pip install make
+          make generate_pydocs
   deploy:
     runs-on: ubuntu-latest
     steps:

Makefile

@@ -0,0 +1,16 @@
+generate_pydocs: 
+	pipx install pydoc-markdown
+	pydoc-markdown -I . -p t3co --render-toc > docs/functions/CodeReference.md
+	pydoc-markdown -I . -m t3co/sweep --render-toc > docs/functions/sweep.md
+	pydoc-markdown -I . -m t3co/run/run_scenario --render-toc > docs/functions/run_scenario.md
+	pydoc-markdown -I . -m t3co/run/generateinputs --render-toc > docs/functions/generateinputs.md
+	pydoc-markdown -I . -m t3co/run/Global --render-toc > docs/functions/Global.md
+	pydoc-markdown -I . -m t3co/tco/tcocalc --render-toc > docs/functions/tcocalc.md
+	pydoc-markdown -I . -m t3co/tco/tco_analysis --render-toc > docs/functions/tco_analysis.md
+	pydoc-markdown -I . -m t3co/tco/opportunity_cost --render-toc > docs/functions/opportunity_cost.md
+	pydoc-markdown -I . -m t3co/tco/tco_stock_emissions --render-toc > docs/functions/tco_stock_emissions.md
+	pydoc-markdown -I . -m t3co/objectives/accel --render-toc > docs/functions/accel.md
+	pydoc-markdown -I . -m t3co/objectives/fueleconomy --render-toc > docs/functions/fueleconomy.md
+	pydoc-markdown -I . -m t3co/objectives/gradeability --render-toc > docs/functions/gradeability.md
+	pydoc-markdown -I . -m t3co/moopack/moo --render-toc > docs/functions/moo.md
+

docs/functions/CodeReference.md

@@ -23,7 +23,7 @@
     * [\_\_init\_\_](#t3co.tco.opportunity_cost.OpportunityCost.__init__)
     * [set\_kdes](#t3co.tco.opportunity_cost.OpportunityCost.set_kdes)
     * [set\_payload\_loss\_factor](#t3co.tco.opportunity_cost.OpportunityCost.set_payload_loss_factor)
-    * [set\_dwell\_time\_cost](#t3co.tco.opportunity_cost.OpportunityCost.set_dwell_time_cost)
+    * [set\_fueling\_dwell\_time\_cost](#t3co.tco.opportunity_cost.OpportunityCost.set_fueling_dwell_time_cost)
     * [set\_M\_R\_downtime\_cost](#t3co.tco.opportunity_cost.OpportunityCost.set_M_R_downtime_cost)
   * [main](#t3co.tco.opportunity_cost.main)
 * [t3co.tco.tco\_stock\_emissions](#t3co.tco.tco_stock_emissions)
@@ -184,7 +184,7 @@ This helper method calculates the MSRP breakdown dictionary from
 
 **Arguments**:
 
-- `vehicle` _fastsim.vehicle.Vehicle_ - FASTSim vehicle object of analysis vehicle
+- `veh` _fastsim.vehicle.Vehicle_ - FASTSim vehicle object of analysis vehicle
 - `scenario` _run_scenario.Scenario_ - Scenario object of current selection
 
 
@@ -300,7 +300,7 @@ This helper method generates a dataframe containing fueling downtime and M&R dow
 **Arguments**:
 
 - `scenario` _run_scenario.Scenario_ - Scenario object of current selection
-- `oppy_cost_set` _dict_ - Dictionary containing dwell_time_cost_Dol and MR_downtime_cost_Dol
+- `oppy_cost_set` _dict_ - Dictionary containing fueling_downtime_oppy_cost_dol_per_yr,fueling_dwell_labor_cost_dol_per_yr and mr_downtime_oppy_cost_dol_per_yr
 
 
 **Returns**:
@@ -554,13 +554,13 @@ This method runs teh kernel density estimation function set_kdes and calculates
 - `plots` _bool, optional_ - if True, creates histogram of KDE weight bins. Defaults to False.
 - `plots_dir` _str, optional_ - output diretory for saving plot figure. Defaults to None.
 
-<a id="t3co.tco.opportunity_cost.OpportunityCost.set_dwell_time_cost"></a>
+<a id="t3co.tco.opportunity_cost.OpportunityCost.set_fueling_dwell_time_cost"></a>
 
-#### set\_dwell\_time\_cost
+#### set\_fueling\_dwell\_time\_cost
 
 ```python
-def set_dwell_time_cost(a_vehicle: fastsim.vehicle.Vehicle,
-                        scenario: run_scenario.Scenario) -> None
+def set_fueling_dwell_time_cost(a_vehicle: fastsim.vehicle.Vehicle,
+                                scenario: run_scenario.Scenario) -> None
 ```
 
 This function calculates the fueling dwell time cost for a vehicle based on fuel fill rate/charging power and shifts_per_year
@@ -653,12 +653,12 @@ This function generates the ownershipCosts dataframe from the dataframes for eac
 - `fuelSplit` _pd.DataFrame_ - Dataframe of fraction of travel using each fuel [mi/mi]
 - `fuelEfficiency` _pd.DataFrame_ - Dataframe of vehicle's yearly average fuel efficiency [mi/gge]
 - `emissions` _pd.DataFrame_ - Dataframe of vehicle's yearly average emissions
-- `vehicleCosts` _pd.DataFrame, optional_ - Dataframe of vehicle components costs [Dol]. Defaults to None.
-- `travelCosts` _pd.DataFrame, optional_ - Dataframe of maintenance costs [Dol/mi]. Defaults to None.
-- `fuelCosts` _pd.DataFrame, optional_ - Dataframe of fuel operating costs [Dol/gge]. Defaults to None.
-- `insuranceCosts` _pd.DataFrame, optional_ - Dataframe of yearly insurance costs [Dol]. Defaults to None.
-- `residualCosts` _pd.DataFrame, optional_ - Dataframe of yearly residual costs [Dol]. Defaults to None.
-- `downtimeCosts` _pd.DataFrame, optional_ - Dataframe of yearly downtime costs [Dol]. Defaults to None.
+- `vehicleCosts` _pd.DataFrame, optional_ - Dataframe of vehicle components costs [dol]. Defaults to None.
+- `travelCosts` _pd.DataFrame, optional_ - Dataframe of maintenance costs [dol/mi]. Defaults to None.
+- `fuelCosts` _pd.DataFrame, optional_ - Dataframe of fuel operating costs [dol/gge]. Defaults to None.
+- `insuranceCosts` _pd.DataFrame, optional_ - Dataframe of yearly insurance costs [dol]. Defaults to None.
+- `residualCosts` _pd.DataFrame, optional_ - Dataframe of yearly residual costs [dol]. Defaults to None.
+- `downtimeCosts` _pd.DataFrame, optional_ - Dataframe of yearly downtime costs [dol]. Defaults to None.
 - `write_files` _bool, optional_ - if True, save vehicleCosts, travelCosts, fuelCosts, insuranceCosts,residualCosts, downtimeCosts . Defaults to False.
 
 
@@ -677,7 +677,7 @@ This function generates the ownershipCosts dataframe from the dataframes for eac
 #### get\_operating\_costs
 
 ```python
-def get_operating_costs(ownershipCosts,
+def get_operating_costs(ownershipCosts: pd.DataFrame,
                         TCO_switch: str = "DIRECT") -> pd.DataFrame
 ```
 
@@ -702,7 +702,7 @@ def discounted_costs(scenario: run_scenario.Scenario,
                      ownershipCosts: pd.DataFrame) -> pd.DataFrame
 ```
 
-This function calculates the yearly discounted costs for each category of ownershipCosts based on scenario.discount_rate_pct_per_yr
+This function calculates the yearly discounted costs for each category of ownershipCosts based on scenario.discRate
 
 **Arguments**:
 
@@ -742,8 +742,8 @@ There are two methods to calculate discounted TCO - 'DIRECT' and 'EFFICIENCY'
 
 **Returns**:
 
-- `discountedTCO` _float_ - Discounted Total Cost of Ownership value
-- `oppy_cost_Dol_set` _dict_ - Dictionary containing discounted opportunity costs breakdown
+- `discounted_tco_dol` _float_ - Discounted Total Cost of Ownership value
+- `oppy_cost_dol_set` _dict_ - Dictionary containing discounted opportunity costs breakdown
 - `veh_oper_cost_set` _dict_ - Dictionary containing discounted operating costs breakdown
 
 <a id="t3co.tco.tco_analysis.get_tco_of_vehicle"></a>
@@ -786,8 +786,8 @@ This function calculates the Total Cost of Ownership of a vehicle and scenario f
 
 **Returns**:
 
-- `tot_cost_Dol` _float_ - TCO in dollars
-- `discounted_TCO_Dol` _float_ - discounted TCO in dollars
+- `tot_cost_dol` _float_ - TCO in dollars
+- `discounted_tco_dol` _float_ - discounted TCO in dollars
 - `oppy_cost_set` _dict_ - Dictionary of opportunity cost breakdown
 - `ownership_costs_df` _pd.DataFrame_ - Ownerhip Costs dataframe containing different categories per year
 - `discounted_costs_df` _pd.DataFrame_ - discounted Ownerhip Costs dataframe containing different categories per year
@@ -1126,7 +1126,7 @@ This method is a utility function to get detailed TCO information from optimized
 ## T3CODisplay Objects
 
 ```python
-class T3CODisplay(Output)
+class T3CODisplay()
 ```
 
 This class contains the display object for Pymoo optimization printouts - pymoo.util.display.Display
@@ -1361,7 +1361,7 @@ evaluated at how much it meets or exceeds target speed at the target grade.
 - `grade_6percent_mph_ach` _float_ - Achieved speed on 6% grade test
 - `grade_1pt25percent_mph_ach` _float_ - Achieved speed on 1.25% grade test
 - `grade_6_simdrive` _fastsim.simdrive.SimDrive_ - FASTSim SimDrive for gradeability test of 6% grade
-- `grade_125_simdrive` _fastsim.simdrive.SimDrive_ - FASTSim SimDrive for gradeability test of 1.25% grade
+- `grade_1p25_simdrive` _fastsim.simdrive.SimDrive_ - FASTSim SimDrive for gradeability test of 1.25% grade
 
 <a id="t3co.objectives"></a>
 
@@ -2310,7 +2310,7 @@ selection,scenario_name,veh_pt_type,drag_coef,frontalAreaM2,glid...
 
 gl.OTHER_INPUTS content:
 # all information necessary to determine vehicle TCO as well as performance targets
-selection,drive_cycle,vmt_reduct_per_yr,vmt,constant_trip_distance_mi,vehicle_life_yr,...,region,target_range_mi,min_speed_at_6pct_grade_in_5min_mph,min_speed_at_125pct_grade_in_5min_mph,max0to60secAtGV
+selection,drive_cycle,vmt_reduct_per_yr,vmt,constant_trip_distance_mi,vehicle_life_yr,...,region,target_range_mi,min_speed_at_6pct_grade_in_5min_mph,min_speed_at_1p25pct_grade_in_5min_mph,max0to60secAtGV
 1.0,long_haul_cyc.csv,0.0,"[100000, 100000, 100000, 100000, 100000, 100000...United States,750.0,30.0,65.0,80.0,20.0
 2.0,long_haul_cyc.csv,,"[100000, 100000, 100000, 100000, 100000, 100000, 1...United States,750.0,30.0,65.0,80.0,20.0
 3.0,long_haul_cyc.csv,,"[100000, 100000, 100000, 100000, 100000, 100000, 1...United States,750.0,30.0,65.0,80.0,20.0

docs/functions/gradeability.md

@@ -38,5 +38,5 @@ evaluated at how much it meets or exceeds target speed at the target grade.
 - `grade_6percent_mph_ach` _float_ - Achieved speed on 6% grade test
 - `grade_1pt25percent_mph_ach` _float_ - Achieved speed on 1.25% grade test
 - `grade_6_simdrive` _fastsim.simdrive.SimDrive_ - FASTSim SimDrive for gradeability test of 6% grade
-- `grade_125_simdrive` _fastsim.simdrive.SimDrive_ - FASTSim SimDrive for gradeability test of 1.25% grade
+- `grade_1p25_simdrive` _fastsim.simdrive.SimDrive_ - FASTSim SimDrive for gradeability test of 1.25% grade
 

docs/functions/moo.md

@@ -244,7 +244,7 @@ This method is a utility function to get detailed TCO information from optimized
 ## T3CODisplay Objects
 
 ```python
-class T3CODisplay(Output)
+class T3CODisplay()
 ```
 
 This class contains the display object for Pymoo optimization printouts - pymoo.util.display.Display

docs/functions/opportunity_cost.md

@@ -5,7 +5,7 @@
     * [\_\_init\_\_](#t3co/tco/opportunity_cost.OpportunityCost.__init__)
     * [set\_kdes](#t3co/tco/opportunity_cost.OpportunityCost.set_kdes)
     * [set\_payload\_loss\_factor](#t3co/tco/opportunity_cost.OpportunityCost.set_payload_loss_factor)
-    * [set\_dwell\_time\_cost](#t3co/tco/opportunity_cost.OpportunityCost.set_dwell_time_cost)
+    * [set\_fueling\_dwell\_time\_cost](#t3co/tco/opportunity_cost.OpportunityCost.set_fueling_dwell_time_cost)
     * [set\_M\_R\_downtime\_cost](#t3co/tco/opportunity_cost.OpportunityCost.set_M_R_downtime_cost)
   * [main](#t3co/tco/opportunity_cost.main)
 
@@ -81,13 +81,13 @@ This method runs teh kernel density estimation function set_kdes and calculates
 - `plots` _bool, optional_ - if True, creates histogram of KDE weight bins. Defaults to False.
 - `plots_dir` _str, optional_ - output diretory for saving plot figure. Defaults to None.
 
-<a id="t3co/tco/opportunity_cost.OpportunityCost.set_dwell_time_cost"></a>
+<a id="t3co/tco/opportunity_cost.OpportunityCost.set_fueling_dwell_time_cost"></a>
 
-#### set\_dwell\_time\_cost
+#### set\_fueling\_dwell\_time\_cost
 
 ```python
-def set_dwell_time_cost(a_vehicle: fastsim.vehicle.Vehicle,
-                        scenario: run_scenario.Scenario) -> None
+def set_fueling_dwell_time_cost(a_vehicle: fastsim.vehicle.Vehicle,
+                                scenario: run_scenario.Scenario) -> None
 ```
 
 This function calculates the fueling dwell time cost for a vehicle based on fuel fill rate/charging power and shifts_per_year

docs/functions/tco_analysis.md

@@ -15,7 +15,7 @@
 #### get\_operating\_costs
 
 ```python
-def get_operating_costs(ownershipCosts,
+def get_operating_costs(ownershipCosts: pd.DataFrame,
                         TCO_switch: str = "DIRECT") -> pd.DataFrame
 ```
 
@@ -40,7 +40,7 @@ def discounted_costs(scenario: run_scenario.Scenario,
                      ownershipCosts: pd.DataFrame) -> pd.DataFrame
 ```
 
-This function calculates the yearly discounted costs for each category of ownershipCosts based on scenario.discount_rate_pct_per_yr
+This function calculates the yearly discounted costs for each category of ownershipCosts based on scenario.discRate
 
 **Arguments**:
 
@@ -80,8 +80,8 @@ There are two methods to calculate discounted TCO - 'DIRECT' and 'EFFICIENCY'
 
 **Returns**:
 
-- `discountedTCO` _float_ - Discounted Total Cost of Ownership value
-- `oppy_cost_Dol_set` _dict_ - Dictionary containing discounted opportunity costs breakdown
+- `discounted_tco_dol` _float_ - Discounted Total Cost of Ownership value
+- `oppy_cost_dol_set` _dict_ - Dictionary containing discounted opportunity costs breakdown
 - `veh_oper_cost_set` _dict_ - Dictionary containing discounted operating costs breakdown
 
 <a id="t3co/tco/tco_analysis.get_tco_of_vehicle"></a>
@@ -124,8 +124,8 @@ This function calculates the Total Cost of Ownership of a vehicle and scenario f
 
 **Returns**:
 
-- `tot_cost_Dol` _float_ - TCO in dollars
-- `discounted_TCO_Dol` _float_ - discounted TCO in dollars
+- `tot_cost_dol` _float_ - TCO in dollars
+- `discounted_tco_dol` _float_ - discounted TCO in dollars
 - `oppy_cost_set` _dict_ - Dictionary of opportunity cost breakdown
 - `ownership_costs_df` _pd.DataFrame_ - Ownerhip Costs dataframe containing different categories per year
 - `discounted_costs_df` _pd.DataFrame_ - discounted Ownerhip Costs dataframe containing different categories per year

docs/functions/tco_stock_emissions.md

@@ -61,12 +61,12 @@ This function generates the ownershipCosts dataframe from the dataframes for eac
 - `fuelSplit` _pd.DataFrame_ - Dataframe of fraction of travel using each fuel [mi/mi]
 - `fuelEfficiency` _pd.DataFrame_ - Dataframe of vehicle's yearly average fuel efficiency [mi/gge]
 - `emissions` _pd.DataFrame_ - Dataframe of vehicle's yearly average emissions
-- `vehicleCosts` _pd.DataFrame, optional_ - Dataframe of vehicle components costs [Dol]. Defaults to None.
-- `travelCosts` _pd.DataFrame, optional_ - Dataframe of maintenance costs [Dol/mi]. Defaults to None.
-- `fuelCosts` _pd.DataFrame, optional_ - Dataframe of fuel operating costs [Dol/gge]. Defaults to None.
-- `insuranceCosts` _pd.DataFrame, optional_ - Dataframe of yearly insurance costs [Dol]. Defaults to None.
-- `residualCosts` _pd.DataFrame, optional_ - Dataframe of yearly residual costs [Dol]. Defaults to None.
-- `downtimeCosts` _pd.DataFrame, optional_ - Dataframe of yearly downtime costs [Dol]. Defaults to None.
+- `vehicleCosts` _pd.DataFrame, optional_ - Dataframe of vehicle components costs [dol]. Defaults to None.
+- `travelCosts` _pd.DataFrame, optional_ - Dataframe of maintenance costs [dol/mi]. Defaults to None.
+- `fuelCosts` _pd.DataFrame, optional_ - Dataframe of fuel operating costs [dol/gge]. Defaults to None.
+- `insuranceCosts` _pd.DataFrame, optional_ - Dataframe of yearly insurance costs [dol]. Defaults to None.
+- `residualCosts` _pd.DataFrame, optional_ - Dataframe of yearly residual costs [dol]. Defaults to None.
+- `downtimeCosts` _pd.DataFrame, optional_ - Dataframe of yearly downtime costs [dol]. Defaults to None.
 - `write_files` _bool, optional_ - if True, save vehicleCosts, travelCosts, fuelCosts, insuranceCosts,residualCosts, downtimeCosts . Defaults to False.
 
 

docs/functions/tcocalc.md

@@ -63,7 +63,7 @@ This helper method calculates the MSRP breakdown dictionary from
 
 **Arguments**:
 
-- `vehicle` _fastsim.vehicle.Vehicle_ - FASTSim vehicle object of analysis vehicle
+- `veh` _fastsim.vehicle.Vehicle_ - FASTSim vehicle object of analysis vehicle
 - `scenario` _run_scenario.Scenario_ - Scenario object of current selection
 
 
@@ -179,7 +179,7 @@ This helper method generates a dataframe containing fueling downtime and M&R dow
 **Arguments**:
 
 - `scenario` _run_scenario.Scenario_ - Scenario object of current selection
-- `oppy_cost_set` _dict_ - Dictionary containing dwell_time_cost_Dol and MR_downtime_cost_Dol
+- `oppy_cost_set` _dict_ - Dictionary containing fueling_downtime_oppy_cost_dol_per_yr,fueling_dwell_labor_cost_dol_per_yr and mr_downtime_oppy_cost_dol_per_yr
 
 
 **Returns**:

docs/models/ScenarioFile.md

@@ -40,7 +40,7 @@ Below is an example of a scenario file contents, in columnar format for readabil
 |`region`|< > |`FY21NoProgram`| `string`|
 |`target_range_mi`|< > |`500`|`float` Note: for PHEVs, T3CO will meet this requirement in CD mode |
 |`min_speed_at_6pct_grade_in_5min_mph`|< > |`30`|`float` |
-|`min_speed_at_125pct_grade_in_5min_mph`|< > |`65`|`float` |
+|`min_speed_at_1p25pct_grade_in_5min_mph`|< > |`65`|`float` |
 |`max_time_0_to_60mph_at_gvwr_s`|< > |`80`|`float` |
 |`max_time_0_to_30mph_at_gvwr_s`|< > |`20`|`float` |
 |`lw_imp_curve_sel`|< > |`MDHD_noprogram_2050`| `string` Optimization "knob" handling. For certain knobs, there are curves that apply. This value references a column in the light-weighting curves file. Example: [light weighting curves](https://github.com/NREL/T3CO/blob/master/run_scripts/external_resources/tda_example/matlltwt_imp_cost_curves_for_tda_in_t3co.csv). Referenced in `sweep.py` [here](https://github.com/NREL/T3CO/blob/934dc4718c8a3aeef296bdf39abd6952d65c88f6/run_scripts/sweep.py#L537) |
@@ -57,7 +57,7 @@ Below is an example of a scenario file contents, in columnar format for readabil
 |`knob_max_fs_kwh`| < > | `600`| `nan or float` Optimization settings If this "knob" has a min and max value input from user, it implies that this opimization parameter should be used. |
 |`constraint_range`| < > | `nan`| `True or False` Optimization setting. If True, then the constraint is applied and tests for range must be met or exceeded. Test threshold designated by value in `target_range_mi`|
 |`constraint_accel`| < > |`nan`| `True or False` Optimization setting. If True, then the constraint is applied and tests for acceleratiion. must be met or exceeded Test threshold designated by value in `max_time_0_to_60mph_at_gvwr_s and max_time_0_to_30mph_at_gvwr_s`|
-|`constraint_grade`| < > |`nan`| `True or False` Optimization setting. If True, then the constraint is applied and tests for grade must be met or exceeded Test threshold designated by value in `min_speed_at_6pct_grade_in_5min_mph and min_speed_at_125pct_grade_in_5min_mph`|
+|`constraint_grade`| < > |`nan`| `True or False` Optimization setting. If True, then the constraint is applied and tests for grade must be met or exceeded Test threshold designated by value in `min_speed_at_6pct_grade_in_5min_mph and min_speed_at_1p25pct_grade_in_5min_mph`|
 |`objective_tco`|  < > | `nan`| `True or False` Optimization setting. If True, then the objective to minimize Total Cost of Ownership is applied. |
 |`constraint_c_rate`|  < > | `True`| `True or False` Optimization setting. If True, then the constraint for c rate is applied|
 |`shifts_per_year`|  < > | `260`| PHEVs only! See [PHEV Docs](./PHEVs.md#phev-special-inputs)|

docs/models/acceleration_and_grade_tests.md

@@ -43,7 +43,7 @@ Inputs from the T3CO input file:
 |Acceleration 0 to 60 |max_time_0_to_60mph_at_gvwr_s| `seconds, int > 0` |
 |Acceleration 0 to 30 |max_time_0_to_30mph_at_gvwr_s| `seconds, int > 0` |
 |Min speed at 6% grade [MPH] |min_speed_at_6pct_grade_in_5min_mph| `MPH, int > 0` |
-|Min speed at 1.25% grade [MPH]|min_speed_at_125pct_grade_in_5min_mph| `MPH, int > 0` |
+|Min speed at 1.25% grade [MPH]|min_speed_at_1p25pct_grade_in_5min_mph| `MPH, int > 0` |
 
 
 ## Default Initial SOCs <a name="default-socs"></a>

docs/models/optimization.md

@@ -61,7 +61,7 @@ An example use, employing both [**NSGA2** and **PatternSearch**](https://pymoo.o
 ## Optimization Inputs <a name="optInputs"></a>
 
 ### example means of specifying targets in **scenario** file
-target_range_mi | min_speed_at_6pct_grade_in_5min_mph | min_speed_at_125pct_grade_in_5min_mph | max_time_0_to_60mph_at_gvwr_s | max_time_0_to_30mph_at_gvwr_s
+target_range_mi | min_speed_at_6pct_grade_in_5min_mph | min_speed_at_1p25pct_grade_in_5min_mph | max_time_0_to_60mph_at_gvwr_s | max_time_0_to_30mph_at_gvwr_s
 -- | -- | -- | -- | --
 750 | 30 | 65 | 80 | 20
 750 | 30 | 65 | 80 | 20