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File size: 1,771 Bytes
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import numpy as np
import raven_utils.group as group
import raven_utils.entity as entity
import raven_utils.rules as rules
import raven_utils.properties as properties
ENTITY_INDEX = entity.INDEX + 1
ENTITY_DICT = dict(zip(group.NAMES, ENTITY_INDEX[:-1]))
NAMES_ORDER = dict(zip(group.NAMES, np.arange(len(group.NAMES))))
PROPERTIES_INDEXES = np.cumsum(np.array(list(entity.NO.values())) * properties.NO)
INDEX = np.concatenate([[0], PROPERTIES_INDEXES]) + entity.SUM + 1 # +2 type and uniformity
SECOND_LAYOUT = [i - 1 for i in [
ENTITY_DICT["in_center_single_out_center_single"] + 1,
ENTITY_DICT["in_distribute_four_out_center_single"] + 1,
ENTITY_DICT["in_distribute_four_out_center_single"] + 2,
ENTITY_DICT["in_distribute_four_out_center_single"] + 3,
ENTITY_DICT["left_center_single_right_center_single"] + 1,
ENTITY_DICT["up_center_single_down_center_single"] + 1
]]
FIRST_LAYOUT = list(set(range(entity.SUM)) - set(SECOND_LAYOUT))
LAYOUT_NO = 2
START_INDEX = dict(zip(group.NAMES, INDEX[:-1]))
END_INDEX = INDEX[-1]
RULES_ATTRIBUTES_ALL_LEN = rules.ATTRIBUTES_LEN * LAYOUT_NO
UNIFORMITY_NO = 2
UNIFORMITY_INDEX = END_INDEX + RULES_ATTRIBUTES_ALL_LEN
SIZE = UNIFORMITY_INDEX + UNIFORMITY_NO
def take(target):
return target[1], target[2]
def create(images, index, pattern_index=(2, 5), full_index=False, arrange=np.arange, shape=lambda x: x.shape):
return [images[:, pattern_index[0]], images[:, pattern_index[1]],
images[arrange(shape(index)[0]), (0 if full_index else 8) + index[:, 0]]]
def take_simple(target):
return target[1], target[0]
def create_simple(images, target, index=slice(None), pattern_index=(2, 5)):
return [images[:, pattern_index[0]], images[:, pattern_index[1]], target][index] |