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data_book_split_train_test.py
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from os.path import join, exists
import os
from PyLib.operate_file import load_obj, save_obj
from levenshtein import align_pair
from multiprocessing import Pool
from collections import OrderedDict
from util_my import split_with_ratio
import numpy as np
import sys
import re
def get_wit_and_man_date():
dict_date = {}
for line in file(join(folder_multi, 'man.info.txt')):
items = line.split('\t')
cur_date = items[0]
if cur_date not in dict_date:
dict_date[cur_date] = 1
return dict_date
def check_manual():
dict_date = get_wit_and_man_date()
for line in file(join(folder_multi, 'man_wit.info.txt')):
items = line.split('\t')
cur_date = items[0]
if cur_date in dict_date:
dict_date[cur_date] = 2
print len([ele for ele in dict_date if dict_date[ele] == 2])
# return dict_date
def get_all_date():
dict_date = OrderedDict()
for prefix in ['man', 'man_wit']:
for line in file(join(folder_multi, prefix + '.info.txt')):
items = line.split('\t')
cur_date = items[0]
if cur_date not in dict_date:
dict_date[cur_date] = 1
save_obj(join(folder_multi, 'date_info'), dict_date)
def split_train_test(train_ratio, split_id):
dict_date = load_obj(join(folder_multi, 'date_info'))
folder_split = join(folder_multi, str(split_id))
if not exists(folder_split):
os.makedirs(folder_split)
date_list = dict_date.keys()
num_file = len(date_list)
index_train, index_test = split_with_ratio(num_file, train_ratio)
train_id = np.sort(index_train)
test_id = np.sort(index_test)
train_date = OrderedDict()
for index in train_id:
train_date[date_list[index]] = 1
test_date = OrderedDict()
for index in test_id:
test_date[date_list[index]] = 1
save_obj(join(folder_split, 'split_' + str(split_id)),
{'train': train_date, 'test': test_date})
def split_train_dev(train_ratio, train_id, split_id):
folder_train = join(folder_multi, str(train_id))
folder_split = join(folder_multi, str(train_id), str(split_id))
if not exists(folder_split):
os.makedirs(folder_split)
dict_id = load_obj(join(folder_train,
'split_' + str(train_id)))
train_date = dict_id['train'].keys()
num_file = len(train_date)
index_train, index_test = split_with_ratio(num_file, train_ratio)
train_id = np.sort(index_train)
test_id = np.sort(index_test)
new_train_date = OrderedDict()
for index in train_id:
new_train_date[train_date[index]] = 1
test_date = OrderedDict()
for index in test_id:
test_date[train_date[index]] = 1
save_obj(join(folder_split, 'split_' + str(split_id)),
{'train': new_train_date, 'test': test_date})
def split_date(train_id, split_id):
def get_index(name_train, name_man):
index = {}
line_id = 0
for line in file(join(folder_multi, name_man + '.info.txt')):
items = line.split('\t')
cur_date = items[0]
if name_train == 'train':
if cur_date not in dict_date['test'] and cur_date not in dict_date['dev']:
index[line_id] = 1
else:
if cur_date in dict_date[name_train]:
index[line_id] = 1
line_id += 1
return index
def write_data(index, input_file, output_file):
print(len(index), input_file, output_file)
out_file = open(output_file, 'w')
line_id = 0
for line in file(input_file):
if line_id in index:
if '.x' in output_file:
out_file.write(line)
elif '.y' in output_file:
out_file.write(line)
else:
out_file.write(line)
line_id += 1
out_file.close()
folder_test = join(folder_multi, str(train_id))
folder_train = join(folder_multi, str(train_id), str(split_id))
dict_test_id = load_obj(join(folder_test, 'split_' + str(train_id)))
dict_id = load_obj(join(folder_train, 'split_' + str(split_id)))
dict_date = {}
dict_date['train'] = dict_id['train']
dict_date['dev'] = dict_id['test']
dict_date['test'] = dict_test_id['test']
print len(dict_date['train']) + len(dict_date['test']) + len(dict_date['dev'])
index = {}
for train in ['train', 'test', 'dev']:
for man in ['man', 'man_wit', 'wit']:
index[(train, man)] = get_index(train, man)
for man in ['man', 'man_wit', 'wit']:
for train in ['train', 'test', 'dev']:
print len(index[(train, man)])
list_file = {}
input_file = {}
for man in ['man', 'man_wit', 'wit']:
if man == 'wit':
list_postfix = ['x']
else:
list_postfix = ['x', 'y']
for postfix in list_postfix:
list_file[(man, 'test', postfix)] = join(folder_test, man + '.test.' + postfix + '.txt')
for prefix in ['train', 'dev']:
list_file[(man, prefix, postfix)] = join(folder_train, man + '.' + prefix + '.' + postfix + '.txt')
input_file[(man, postfix)] = join(folder_multi, man +'.' + postfix + '.txt')
for man in ['man', 'man_wit', 'wit']:
list_file[(man, 'test', 'info')] = join(folder_test, man + '.test.' + 'info.txt')
for prefix in ['train', 'dev']:
list_file[(man, prefix, 'info')] = join(folder_train, man + '.' + prefix + '.' + 'info.txt')
input_file[(man, 'info')] = join(folder_multi, man + '.info.txt')
for man in ['man', 'man_wit', 'wit']:
# for man in ['wit']:
for prefix in ['train', 'test', 'dev']:
if man == 'wit':
list_postfix = ['x']
else:
list_postfix = ['x', 'y']
for postfix in list_postfix:
# for postfix in ['x', 'y']:
write_data(index[prefix, man], input_file[(man, postfix)], list_file[(man, prefix, postfix)])
write_data(index[prefix, man], input_file[(man, 'info')], list_file[(man, prefix, 'info')])
def compute_error_rate(train_id, split_id):
folder_train = join(folder_multi, str(train_id), str(split_id))
list_x = []
list_y = []
for line in file(join(folder_train, 'man.train.x.txt')):
list_x.append(line.strip('\n'))
for line in file(join(folder_train, 'man_wit.train.x.txt')):
list_x.append(line.strip('\n').split('\t')[0])
for line in file(join(folder_train, 'man.train.y.txt')):
list_y.append(line.strip() + '\n')
for line in file(join(folder_train, 'man_wit.train.y.txt')):
list_y.append(line.strip() + '\n')
pool = Pool(100)
dis = align_pair(pool, list_x, list_y)
np.savetxt(join(folder_train, 'distance'), dis, fmt='%d')
def get_train_data(train_id, split_id, error_ratio, train):
folder_train = join(folder_multi, str(train_id), str(split_id))
#folder_error = join(folder_train, str(error_ratio))
folder_error = join(folder_train, 'train')
if not exists(folder_error):
os.makedirs(folder_error)
list_x = []
list_y = []
list_info = []
for line in file(join(folder_train, 'man.' + train + '.x.txt')):
list_x.append(line.strip('\n'))
for line in file(join(folder_train, 'man_wit.' + train + '.x.txt')):
list_x.append(line.strip('\n').split('\t')[0])
for line in file(join(folder_train, 'man.' + train + '.y.txt')):
list_y.append(line)
for line in file(join(folder_train, 'man_wit.' + train + '.y.txt')):
list_y.append(line)
for line in file(join(folder_train, 'man.' + train + '.info.txt')):
list_info.append(line)
for line in file(join(folder_train, 'man_wit.' + train + '.info.txt')):
list_info.append(line)
#dis = np.loadtxt(join(folder_train, 'distance'))
#if train == 'train':
# index = []
# for i in range(len(list_x)):
# if dis[i] * 1. / len(list_y[i]) <= error_ratio * 0.01:
# index.append(i)
#else:
index = np.arange(len(list_x))
out_x = open(join(folder_error, train + '.x.txt'), 'w')
out_y = open(join(folder_error, train + '.y.txt'), 'w')
out_info = open(join(folder_error, train + '.info.txt'), 'w')
for i in index:
out_x.write(list_x[i] + '\n')
out_y.write(list_y[i])
out_info.write(list_info[i])
out_x.close()
out_y.close()
out_info.close()
folder_multi = '/gss_gpfs_scratch/dong.r/Dataset/OCR/book1800/single'
# check_manual()
#get_all_date()
#split_train_test(0.8, 0)
#split_train_dev(0.8, 0, 0)
cur_test_id = int(sys.argv[1])
cur_train_id = int(sys.argv[2])
cur_error = int(sys.argv[3])
#split_train_test(0.8, cur_test_id)
#split_train_dev(0.8, cur_test_id, cur_train_id)
print ('Splitting Data')
#split_date(cur_test_id, cur_train_id)
#print ('Computing Error Rate')
#compute_error_rate(cur_test_id, cur_train_id)
print ('Get Training and Dev data')
get_train_data(cur_test_id, cur_train_id, cur_error, 'train')
get_train_data(cur_test_id, cur_train_id, cur_error, 'dev')