# pre-1a
with open('config.txt') as fo:
text = fo.read()
train_path = re.findall('TRAINING_PATH *= *(.*)', text)[0]
gen_path = re.findall('CONFIG_1_GEN_PATH *= *(.*)', text)[0]
parent_path = os.path.dirname(gen_path)
hyp_1 = os.path.join(parent_path, '1')
hyp_a = os.path.join(parent_path, '1a')
hyp_b = os.path.join(parent_path, '1b')
hyp_c = os.path.join(parent_path, '1c')
hyp_d = os.path.join(parent_path, '1d')
hyp_e = os.path.join(parent_path, '1e')
# 1a + 1b
generate_elements(train_path, gen_path, hyp_1)
generate_tags(train_path, hyp_1, gen_path, hyp_a)
copy_folder(hyp_a, hyp_b)
# 1c
copy_folder(hyp_b, hyp_c)
generate_attributes(train_path, hyp_c, hyp_c)
#1d + e
copy_folder(hyp_c, hyp_d)
generate_qslinks(train_path, hyp_d, hyp_d)
generate_olinks(train_path, hyp_d, hyp_d)
generate_movelinks(train_path, hyp_d, hyp_d)
copy_folder(hyp_d, hyp_e)
import re, os
from util.model.baseline_classifier import copy_folder
from util.d_fill_link_attrs import generate_qslinks, generate_olinks,\
generate_movelinks
from util.c_fill_tag_attrs import generate_attributes
if __name__ == "__main__":
with open('config.txt') as fo:
text = fo.read()
train_path = re.findall('TRAINING_PATH *= *(.*)', text)[0]
gen_path = re.findall('CONFIG_2_GEN_PATH *= *(.*)', text)[0]
parent_path = os.path.dirname(gen_path)
hyp_a = os.path.join(parent_path, '2a')
hyp_b = os.path.join(parent_path, '2b')
hyp_c = os.path.join(parent_path, '2c')
# 2a
copy_folder(gen_path, hyp_a)
generate_attributes(train_path, hyp_a, hyp_a)
# 2b + c
copy_folder(hyp_a, hyp_b)
generate_qslinks(train_path, hyp_b, hyp_b)
generate_olinks(train_path, hyp_b, hyp_b)
generate_movelinks(train_path, hyp_b, hyp_b)
copy_folder(hyp_b, hyp_c)
@author: Aaron Levine @email: [email protected] generate documents for configuration 3 tasks """ import re, os from util.model.baseline_classifier import copy_folder from util.d_fill_link_attrs import generate_qslinks, generate_olinks,\ generate_movelinks if __name__ == "__main__": with open('config.txt') as fo: text = fo.read() train_path = re.findall('TRAINING_PATH *= *(.*)', text)[0] gen_path = re.findall('CONFIG_3_GEN_PATH *= *(.*)', text)[0] parent_path = os.path.dirname(gen_path) hyp_a = os.path.join(parent_path, '3a') hyp_b = os.path.join(parent_path, '3b') # 2b + c copy_folder(gen_path, hyp_a) generate_qslinks(train_path, hyp_a, hyp_a) generate_olinks(train_path, hyp_a, hyp_a) generate_movelinks(train_path, hyp_a, hyp_a) copy_folder(hyp_a, hyp_b)