def analyze():
# gen = scripts.load_template_ascii_gen_from_file('mx.tl')
# fields, _ = scripts.init_correct_field_by_ascii_gen(gen)
# field = fields[0]
# with T():
# covers_ret = pickle_cover.to_cover(field, max_spear=18, max_answer=20000)
# covers = [cov[1] for cov in covers_ret]
#
# with T():
# with open(conf['field'], 'w') as f:
# f.write(field.take_json())
# pickle_cover.dump(covers, conf['covers'])
# with T('alternative_path_lens'):
# apl = map(scripts.alternative_path_lens, scripts.covered(t_field, covers))
# pickle_cover.dump(apl, conf['apl'])
# with T('ans_len'):
# ans_len = map(len, itertools.imap(solver.solve_one, scripts.covered(t_field, covers)))
# pickle_cover.dump(ans_len, conf['ans_len'])
# with T('walked_spear'):
# sc = scripts
# isec = lambda f: set(solver.solve_one(c)) & set(c.get_spear_coords())
# walked_spear = [len(isec(c)) for c in sc.covered(t_field, covers)]
# pickle_cover.dump(walked_spear, conf['walked_spear'])
# with T('field_min_max'):
# lens = map(len, solver.solve(t_field))
# field_min_max = min(lens), max(lens)
# pickle_cover.dump(field_min_max, conf['field_min_max'])
with T('Load'):
t_field = Field.load_by_json(conf['field'])
covers = pickle_cover.load(conf['covers'])
apl = pickle_cover.load(conf['apl'])
ans_len = pickle_cover.load(conf['ans_len'])
walked_spear = pickle_cover.load(conf['walked_spear'])
field_min_max = pickle_cover.load(conf['field_min_max'])
with T('work'):
dp = DataProcessing(t_field, covers)
dp.solver
dp.alternative_path_len
"""
def dump_current_field_covers(path_, i_):
def unique_append(list_, item):
if item not in list_:
list_.append(item)
return list_.index(item)
pr_periods = list()
pr_cells = list()
pr_paths = list()
pr_covers = list()
pr_cover_paths = list()
base = Field.load_by_json('%s/base_%i.json' % (path_, i_))
with T():
path_and_spears_group = pickle_cover.to_cover(base, max_spear=20, max_answer=50000)
for path, spears in path_and_spears_group:
new_cover = list()
for spear in spears:
cell, period = spear[:2], spear[2:]
cell_id = unique_append(pr_cells, cell)
period_id = unique_append(pr_periods, period)
new_cover.append((cell_id, period_id))
pr_covers.append(tuple(new_cover))
new_path = list()
for cell in path[0]:
cell_id = unique_append(pr_cells, cell)
new_path.append(cell_id)
path_id = unique_append(pr_paths, tuple(new_path))
pr_cover_paths.append(path_id)
dump_dict = dict()
dump_dict['base'] = base.take_json()
dump_dict['periods'] = pr_periods
dump_dict['cells'] = pr_cells
dump_dict['paths'] = pr_paths
dump_dict['covers'] = pr_covers
dump_dict['cover_paths'] = pr_cover_paths
with open('%s/covers/case_%i.dump' % (path_, i_), 'w') as f:
cPickle.dump(dump_dict, f)
def show_count_paths(path_, i_):
base = Field.load_by_json('/home/anosov/data/hard_base/base_%i.json' % (i_, ))
with T():
res = solver.solve(base)
print len(res)
