Exemplo n.º 1
0
def get_coincides_histogram_against_a_lookup_depth(jogo, up_to_nDoConc=None, LOOKUP_DEPTH=1000):
  slider = ConcursoHTML()
  concurso     = slider.get_last_concurso()
  last_nDoConc = concurso.nDoConc
  if up_to_nDoConc == None:
    # Default
    up_to_nDoConc = last_nDoConc
  elif up_to_nDoConc < 0 or up_to_nDoConc <= last_nDoConc:
    # Default
    up_to_nDoConc = last_nDoConc
  # slider.get_concurso_by_nDoConc(up_to_nDoConc)
  pickled = ConcursosHistoryPickledStorage(upper_nDoConc=up_to_nDoConc) # read_as_id=None,
  previous_games_as_dezenas = pickled.read_or_create()
  if len(previous_games_as_dezenas) < LOOKUP_DEPTH:
    return None
  previous_games_as_dezenas = previous_games_as_dezenas[:LOOKUP_DEPTH]
  coincides_histogram = jogos_functions.get_coincides_histogram(jogo, previous_games_as_dezenas)
  return coincides_histogram
Exemplo n.º 2
0
def report():
  wpatterndict = Dict2(); desc_stair_dict = Dict2()
  reader = ConcursosHistoryPickledStorage(read_as_id=RCH.READ_CONCHIST_AS_TIMEONWARDS_ORDERED_INTS)
  jogos_as_dezenas = reader.get_games_up_to()
  start_index = start_nDoConc - 1
  patternDistance = PatternDistanceAnalyzer()
  for i, jogo_as_dezenas in enumerate(jogos_as_dezenas[start_index:]):
    passing_nDoConc = start_nDoConc + i
    the_one_just_before = passing_nDoConc - 1
    tilr     = TilR.get_tilr_from_pool(n_slots=5, history_nDoConc_range = (1, the_one_just_before)) 
    wpattern = tilr.get_game_tilrpattern_as_str(jogo_as_dezenas)
    #print wpattern, 'concurso', passing_nDoConc, jogo_as_dezenas
    desc_stair_str = tilr.get_game_tilrpattern_as_desc_stair(jogo_as_dezenas) 
    print str(passing_nDoConc).zfill(4), wpattern, desc_stair_str
    wpatterndict.add1_or_set1_to_key(wpattern)
    patternDistance.add_pattern(wpattern)
    desc_stair_dict.add1_or_set1_to_key(desc_stair_str)
  for wpattern in wpatterndict.keys():
    print wpattern, ':', wpatterndict[wpattern]
  for wpattern in desc_stair_dict.keys():
    print wpattern, ':', desc_stair_dict[wpattern]
  patternDistance.mount_distances_histogram()
  patternDistance.summarize()