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Pipeline controller: plan 2 (hard +, error +50 %), backlog throttle, 2 trajectory workers, stop rules, summaries every 50; budget reserve

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Co-Authored-By: Claude Sonnet 5.5 <noreply@anthropic.com>
This commit is contained in:
Kral
2026-10-05 13:35:54 +02:00
parent 1c4667a0fc
commit 13360292dd
781 changed files with 50211 additions and 22 deletions
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96
tasks_gen/train/G1009/reference/fish_auction.clas.abap Normal file
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CLASS {{p}}fish_auction DEFINITION PUBLIC FINAL CREATE PUBLIC.
PUBLIC SECTION.
TYPES ty_species TYPE c LENGTH 10.
TYPES ty_boat_id TYPE c LENGTH 10.
TYPES:
BEGIN OF ty_catch,
boat_id TYPE ty_boat_id,
species TYPE ty_species,
weight_kg TYPE i,
END OF ty_catch.
TYPES tt_catch TYPE STANDARD TABLE OF ty_catch WITH EMPTY KEY.
TYPES:
BEGIN OF ty_summary,
species TYPE ty_species,
total_weight TYPE i,
boat_count TYPE i,
END OF ty_summary.
TYPES tt_summary TYPE STANDARD TABLE OF ty_summary WITH EMPTY KEY.
METHODS summarize
IMPORTING it_catch TYPE tt_catch
RETURNING VALUE(rt_summary) TYPE tt_summary.
METHODS best_species
IMPORTING it_catch TYPE tt_catch
RETURNING VALUE(rv_species) TYPE ty_species.
PRIVATE SECTION.
TYPES:
BEGIN OF ty_boat_species,
species TYPE ty_species,
boat_id TYPE ty_boat_id,
END OF ty_boat_species,
tt_boat_species TYPE HASHED TABLE OF ty_boat_species
WITH UNIQUE KEY species boat_id.
METHODS species_key
IMPORTING iv_species TYPE ty_species
RETURNING VALUE(rv_species) TYPE ty_species.
ENDCLASS.
CLASS {{p}}fish_auction IMPLEMENTATION.
METHOD summarize.
DATA lt_total TYPE SORTED TABLE OF ty_summary WITH UNIQUE KEY species.
DATA lt_boat_species TYPE tt_boat_species.
DATA lv_species TYPE ty_species.
LOOP AT it_catch INTO DATA(ls_catch).
lv_species = species_key( ls_catch-species ).
IF lv_species IS INITIAL OR ls_catch-weight_kg <= 0.
CONTINUE.
ENDIF.
READ TABLE lt_total WITH TABLE KEY species = lv_species
ASSIGNING FIELD-SYMBOL(<ls_total>).
IF sy-subrc <> 0.
INSERT VALUE #( species = lv_species ) INTO TABLE lt_total.
READ TABLE lt_total WITH TABLE KEY species = lv_species
ASSIGNING <ls_total>.
ENDIF.
<ls_total>-total_weight = <ls_total>-total_weight + ls_catch-weight_kg.
INSERT VALUE #( species = lv_species boat_id = ls_catch-boat_id )
INTO TABLE lt_boat_species.
IF sy-subrc = 0.
<ls_total>-boat_count = <ls_total>-boat_count + 1.
ENDIF.
ENDLOOP.
rt_summary = lt_total.
ENDMETHOD.
METHOD best_species.
DATA(lt_summary) = summarize( it_catch ).
DATA lv_best_weight TYPE i.
LOOP AT lt_summary INTO DATA(ls_summary).
IF ls_summary-total_weight > lv_best_weight.
lv_best_weight = ls_summary-total_weight.
rv_species = ls_summary-species.
ENDIF.
ENDLOOP.
ENDMETHOD.
METHOD species_key.
DATA lv_species TYPE ty_species.
lv_species = iv_species.
SHIFT lv_species LEFT DELETING LEADING space.
rv_species = to_upper( lv_species ).
ENDMETHOD.
ENDCLASS.

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tasks_gen/train/G1009/reference/fish_auction.testclasses.abap Normal file
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CLASS ltc_fish_auction DEFINITION FINAL FOR TESTING DURATION SHORT RISK LEVEL HARMLESS.
PRIVATE SECTION.
DATA mo_cut TYPE REF TO {{p}}fish_auction.
METHODS setup.
METHODS sums_and_counts FOR TESTING.
METHODS ignores_invalid_entries FOR TESTING.
METHODS normalizes_species FOR TESTING.
METHODS result_is_sorted FOR TESTING.
METHODS best_species_wins FOR TESTING.
METHODS best_species_tie FOR TESTING.
ENDCLASS.
CLASS ltc_fish_auction IMPLEMENTATION.
METHOD setup.
mo_cut = NEW {{p}}fish_auction( ).
ENDMETHOD.
METHOD sums_and_counts.
DATA lt_result TYPE STANDARD TABLE OF {{p}}fish_auction=>ty_summary WITH EMPTY KEY.
lt_result = mo_cut->summarize( VALUE #(
( boat_id = 'B1' species = 'COD' weight_kg = 100 )
( boat_id = 'B2' species = 'COD' weight_kg = 50 )
( boat_id = 'B1' species = 'COD' weight_kg = 25 ) ) ).
cl_abap_unit_assert=>assert_equals( act = lines( lt_result ) exp = 1 ).
READ TABLE lt_result INTO DATA(ls_row) WITH KEY species = 'COD'.
cl_abap_unit_assert=>assert_equals( act = ls_row-total_weight exp = 175 ).
cl_abap_unit_assert=>assert_equals( act = ls_row-boat_count exp = 2 ).
ENDMETHOD.
METHOD ignores_invalid_entries.
DATA lt_result TYPE STANDARD TABLE OF {{p}}fish_auction=>ty_summary WITH EMPTY KEY.
lt_result = mo_cut->summarize( VALUE #(
( boat_id = 'B1' species = ' ' weight_kg = 10 )
( boat_id = 'B2' species = 'COD' weight_kg = 0 ) ) ).
cl_abap_unit_assert=>assert_equals( act = lines( lt_result ) exp = 0 ).
ENDMETHOD.
METHOD normalizes_species.
DATA lt_result TYPE STANDARD TABLE OF {{p}}fish_auction=>ty_summary WITH EMPTY KEY.
lt_result = mo_cut->summarize( VALUE #(
( boat_id = 'B1' species = ' tuna' weight_kg = 10 )
( boat_id = 'B2' species = 'TUNA ' weight_kg = 20 ) ) ).
cl_abap_unit_assert=>assert_equals( act = lines( lt_result ) exp = 1 ).
READ TABLE lt_result INTO DATA(ls_row) WITH KEY species = 'TUNA'.
cl_abap_unit_assert=>assert_equals( act = ls_row-total_weight exp = 30 ).
ENDMETHOD.
METHOD result_is_sorted.
DATA lt_result TYPE STANDARD TABLE OF {{p}}fish_auction=>ty_summary WITH EMPTY KEY.
lt_result = mo_cut->summarize( VALUE #(
( boat_id = 'B1' species = 'TUNA' weight_kg = 10 )
( boat_id = 'B2' species = 'COD' weight_kg = 10 ) ) ).
READ TABLE lt_result INTO DATA(ls_row) INDEX 1.
cl_abap_unit_assert=>assert_equals( act = ls_row-species exp = 'COD' ).
ENDMETHOD.
METHOD best_species_wins.
cl_abap_unit_assert=>assert_equals(
act = mo_cut->best_species( VALUE #(
( boat_id = 'B1' species = 'COD' weight_kg = 10 )
( boat_id = 'B2' species = 'TUNA' weight_kg = 40 ) ) )
exp = 'TUNA' ).
ENDMETHOD.
METHOD best_species_tie.
cl_abap_unit_assert=>assert_equals(
act = mo_cut->best_species( VALUE #(
( boat_id = 'B1' species = 'TUNA' weight_kg = 30 )
( boat_id = 'B2' species = 'COD' weight_kg = 30 ) ) )
exp = 'COD' ).
ENDMETHOD.
ENDCLASS.