Calculate Red, Green, Blue, Yellow legal wild 'mon DV combinations for a given encounter rate.

calculatergbywildmondv.py

#!/usr/bin/env python3

rate_encounter: int # Nidorans' encounter rate is 25.
game: str # values: "Red" or "Green" or "Blue" and "Yellow";
DV_ATKDEF: int
DV_SPDSPC: int
spread_DV: list[ int ]
spread_DV_possible: list[ bool ] # 'array' of false, table of slots for every spread.
positions_SPDSPC: list[ int ]
positions_ATKDEF: list[ int ]
positions_encounter: list[ int ]
overflow_SPDSPC: int
overflow_ATKDEF: int
value_encounter: int
value_random: int
index_SPDSPC: int
index_ATKDEF: int
index_encounter: int
position_SPDSPC: int
position_ATKDEF: int
position_encounter: int
value_encounter_random: int
value_random_SPDSPC: int
value_ATKDEF_random: int

rate_encounter = 25 #5 #10 #15 #20 #30
game = "Green"
spread_DV_possible = ( 16 * 16 * 16 * 16 ) * [ False ] # == [ False, False, False, ... ]
if game == "Yellow":
  positions_SPDSPC = [ 47, 48, 49 ]
  positions_ATKDEF = [ 1, 2, 3 ]
  positions_encounter = [ 0, 1 ]
elif game == "Red" or game == "Green" or game == "Blue":
  positions_SPDSPC = [ 45, 46, 47 ]
  positions_ATKDEF = [ 1, 2, 3 ]
  positions_encounter = [ 0 ]
else:
  print("Couldn't validate the game.")
  exit()
overflow_SPDSPC = 1
overflow_ATKDEF = 1
value_encounter = 0
while value_encounter < rate_encounter:
  value_random = 0
  while value_random < 256:
    index_SPDSPC = 0
    while index_SPDSPC < len( positions_SPDSPC ):
      index_ATKDEF = 0
      while index_ATKDEF < len( positions_ATKDEF ):
        index_encounter = 0
        while index_encounter < len( positions_encounter ):
          position_SPDSPC = positions_SPDSPC[ index_SPDSPC ]
          position_ATKDEF = positions_ATKDEF[ index_ATKDEF ]
          position_encounter = positions_encounter[ index_encounter ]
          value_encounter_random = ( value_encounter + value_random + position_encounter ) % 256
          value_random_SPDSPC = ( value_random + position_SPDSPC ) % 256
          DV_SPDSPC = ( value_encounter_random + value_random_SPDSPC + overflow_SPDSPC ) % 256
          value_ATKDEF_random = ( value_random_SPDSPC + position_ATKDEF ) % 256
          DV_ATKDEF = ( DV_SPDSPC + value_ATKDEF_random + overflow_ATKDEF ) % 256
          spread_DV_possible[ ( DV_ATKDEF << 8 ) + DV_SPDSPC ] = True # When a possible spread has been found, mark its slot True.
          index_encounter += 1
        index_ATKDEF += 1
      index_SPDSPC += 1
    value_random += 1
  value_encounter += 1
DV_ATKDEF = 0
while DV_ATKDEF < 256:
  DV_SPDSPC = 0
  while DV_SPDSPC < 256:
    if spread_DV_possible[ ( DV_ATKDEF << 8 ) + DV_SPDSPC ]:
      spread_DV = [
        ( 0b11110000 & DV_ATKDEF ) >> 4,
          0b00001111 & DV_ATKDEF,
        ( 0b11110000 & DV_SPDSPC ) >> 4,
          0b00001111 & DV_SPDSPC
      ]
      print( "[ " + f"{spread_DV[ 0 ]:2d}" + ", " + f"{spread_DV[ 1 ]:2d}" + ", " + f"{spread_DV[ 2 ]:2d}" + ", " + f"{spread_DV[ 3 ]:2d}" + " ]" ) # Green, trainer escape glitch, here I come.
    DV_SPDSPC += 1
  DV_ATKDEF += 1

#  calculatergbywildmondv.py
#  G1 Wild DV Calculator
#
#  Karl V. P. B. `kvpb`     AKA Karl Thomas George West `ktgw`
#  +33 A BB BB BB BB        +1 (DDD) DDD-DDDD
#  local-part@domain        local-part@domain
#  https://x.com/ktgwkvpb
#  https://github.com/kvpb

#  Copyright 2024 Karl Vincent Pierre Bertin
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