修改跳转指令解析方式
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29
exe2json.py
29
exe2json.py
@ -5,18 +5,19 @@ import hashlib
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from my_utils import *
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import json
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# 基础块抽取
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# from bert.obtain_inst_vec import bb2vec
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from bert.obtain_inst_vec import bb2vec
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from tqdm import tqdm
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import numpy as np
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import os
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import warnings
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import concurrent.futures
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import multiprocessing
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ret_trap_opcode_family = ["ret", "hlt", "int3", "ud2"]
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sample_type = 'malware'
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sample_type = 'benign'
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def extract_opcode(disasm_text):
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@ -73,7 +74,6 @@ def get_graph_cfg_r2pipe(r2pipe_open, file_path, output_path, file_name):
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block_addr = block["addr"]
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block_Statement = []
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node_list.append(block["addr"])
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# 获取基本块的反汇编指令
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disasm = r2pipe_open.cmdj("pdj " + str(block["ninstr"]) + " @" + str(block["addr"]))
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@ -84,7 +84,7 @@ def get_graph_cfg_r2pipe(r2pipe_open, file_path, output_path, file_name):
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block_len = len(disasm)
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for op_index, op in enumerate(disasm):
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# 提取操作码并转换为bert模型输入格式
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op_disasm = extract_opcode(op["disasm"])
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op_disasm = extract_opcode(op["opcode"])
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# 如果单个基础块的长度大于20且操作码重复,则跳过
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if block_len > 20 and op_disasm in block_Statement:
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continue
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@ -129,7 +129,8 @@ def get_graph_cfg_r2pipe(r2pipe_open, file_path, output_path, file_name):
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if op not in ret_trap_opcode_family or op["type"] not in ["ret", "trap"]:
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temp_edge_list.append([block_addr, op["offset"] + op["size"]])
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if block_len > 20:
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logger.warning(f"二进制可执行文件解析警告,基础块长度大于20,文件{file_path},基础块地址{block_addr},操作码长度{block_len}->{len(block_Statement)}")
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logger.warning(
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f"二进制可执行文件解析警告,基础块长度大于20,文件{file_path},基础块地址{block_addr},操作码长度{block_len}->{len(block_Statement)}")
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# debugger
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# print(len(disasm))
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@ -214,9 +215,9 @@ def exe_to_json(file_path):
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output_path = f"./out/json/{sample_type}"
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file_fingerprint = calc_sha256(file_path)
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if os.path.exists(os.path.join(output_path, file_fingerprint + '.jsonl')):
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# logger.info(f"二进制可执行文件已解析,文件名{file_path}")
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logger.info(f"二进制可执行文件已解析,文件名{file_path}")
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return
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# logger.info(f"开始解析,文件名{file_path}")
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logger.info(f"开始解析,文件名{file_path}")
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# 获取r2pipe并解析文件 解析完即释放r2
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r2 = r2pipe.open(file_path, flags=['-2'])
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@ -248,18 +249,20 @@ def exe_to_json(file_path):
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# json写入
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os.makedirs(output_path, exist_ok=True)
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save_json(os.path.join(output_path, file_fingerprint + '.jsonl'), json_obj)
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# logger.info(f"解析完成,文件名{file_path}")
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logger.info(f"解析完成,文件名{file_path}")
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return
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if __name__ == '__main__':
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logger = init_logging()
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sample_file_path = f"/mnt/d/bishe/dataset/sample_{sample_type}"
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sample_file_path = f"/mnt/d/bishe/sample_{sample_type}"
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sample_file_list = os.listdir(sample_file_path)
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print(f"max worker {os.cpu_count()}")
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with multiprocessing.Pool(processes=os.cpu_count()) as pool:
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result = list(tqdm(pool.imap_unordered(exe_to_json, [os.path.join(sample_file_path, file_name) for file_name in sample_file_list[:10000]]), total=10000))
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result = list(tqdm(pool.imap_unordered(exe_to_json, [os.path.join(sample_file_path, file_name) for file_name in
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sample_file_list[:10000]]), total=10000))
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# result = list(tqdm(pool.imap_unordered(exe_to_json, [os.path.join(sample_file_path, file_name) for file_name in
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# [os.path.join(sample_file_path, '00e64dab6a0a572f0474ff92353794fc.exe')]]), total=10000))
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# with concurrent.futures.ThreadPoolExecutor(max_workers=os.cpu_count()) as executor:
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# futures_to_args = {
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@ -269,7 +272,5 @@ if __name__ == '__main__':
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# for future in tqdm(concurrent.futures.as_completed(futures_to_args), total=len(futures_to_args)):
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# pass
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# test_file_path = '/mnt/d/bishe/exe2json/sample/VirusShare_0a3b625380161cf92c4bb10135326bb5'
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# exe_to_json(test_file_path)
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@ -1,5 +1,5 @@
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import os
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from my_utils import save_json, load_json, setup_logger, multi_thread_order, THREAD_HALF, THREAD_FULL
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from my_utils import save_json, load_json, setup_logger, multi_thread_order, THREAD_HALF, THREAD_FULL, continuation_json
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from bert.obtain_inst_vec import bb2vec
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import multiprocessing
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from tqdm import tqdm
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@ -25,31 +25,38 @@ def addr2vec(base_file_path, index):
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feature_json = load_json(os.path.join(file_path, 'feature', file_name)) if os.path.exists(
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os.path.join(file_path, 'feature', file_name)) else None
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if feature_json is not None:
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feature_set = {}
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# 对于长度过长的文件先不处理
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if len(feature_json) > 10000:
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data = {
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'file_name': file_name,
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'feature_len': len(feature_json)
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}
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continuation_json(os.path.join(f'./out/json/too_long_{sample_type}.json'), data)
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return
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# 多线程预测bert
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# with concurrent.futures.ThreadPoolExecutor(max_workers=os.cpu_count()) as executor:
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feature_set = {}
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# with multiprocessing.Pool(processes=os.cpu_count()) as pool:
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# try:
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# future_args = {
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# executor.submit(bb2vec, item): item for item in feature_json
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# }
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# for future in concurrent.futures.as_completed(future_args):
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# result = future.result()
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# results = list(tqdm(pool.imap_unordered(bb2vec, [item for item in feature_json]),
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# total=len(feature_json),
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# desc=f'{file_name} Progress:{index}/{json_files_len} ',
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# leave=True,
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# dynamic_ncols=True))
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# for result in results:
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# feature_set[result[0]] = result[1]
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# except Exception as e:
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# logger.error(f"bert 解析出错 {file_name},{e}")
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with multiprocessing.Pool(processes=os.cpu_count()) as pool:
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try:
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results = list(tqdm(pool.imap_unordered(bb2vec, [item for item in feature_json]),
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total=len(feature_json),
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desc=f'{file_name} Progress:{index}/{json_files_len} ',
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leave=True,
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dynamic_ncols=True))
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for result in results:
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feature_set[result[0]] = result[1]
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except Exception as e:
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logger.error(f"bert 解析出错 {file_name},{e}")
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# debug
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try:
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for index, feature in tqdm(enumerate(feature_json), total=len(feature_json)):
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addr, feature = bb2vec(feature)
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feature_set[addr] = feature
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except Exception as e:
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print(index)
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print(e)
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print(feature['opcode'])
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try:
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for item in file_json['acfg_list']:
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@ -57,6 +64,7 @@ def addr2vec(base_file_path, index):
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item['block_features'] = [feature_set[key] for key in bb_feature_addr_list]
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except Exception as e:
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logger.error(f"地址对应出错{file_name}, {e}")
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return
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save_json(os.path.join(file_path, 'final', file_name), file_json)
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else:
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@ -69,7 +77,8 @@ if __name__ == '__main__':
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sample_type = 'benign'
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# json_path = os.path.join(f'./out/json/{sample_type}')
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json_path = os.path.join(f'./out/json/{sample_type}')
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json_files = os.listdir(json_path)
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# json_files = os.listdir(json_path)
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json_files = ['1710ae16c54ac149f353ba58e752ba7069f88326e6b71107598283bd0fffcbd6.jsonl']
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json_files_len = len(json_files)
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now = datetime.now()
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formatted_now = now.strftime("%Y-%m-%d %H:%M:%S")
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13
my_utils.py
13
my_utils.py
@ -10,7 +10,7 @@ import json
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"""
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def setup_logger(name, log_file, level=logging.INFO):
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def setup_logger(name, log_file, level=logging.INFO, reset=False):
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"""Function setup as many loggers as you want"""
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if not os.path.exists(os.path.dirname(log_file)):
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os.makedirs(os.path.dirname(log_file))
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@ -32,7 +32,7 @@ def setup_logger(name, log_file, level=logging.INFO):
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# 刷新原有log文件
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if os.path.exists(log_file):
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if reset:
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open(log_file, 'w').close()
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return logger
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@ -73,7 +73,7 @@ def multi_thread_order(func, args, thread_num=THREAD_FULL):
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return result
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def multi_thread_disorder(func, thread_num=THREAD_FULL, **args):
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def multi_thread_disorder(func, thread_num=THREAD_FULL, **args):
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import multiprocessing
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from tqdm import tqdm
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with multiprocessing.Pool(processes=thread_num) as pool:
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@ -87,6 +87,13 @@ def save_json(filename, data):
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file.close()
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def continuation_json(filename, data):
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data = json.dumps(data)
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file = open(filename, 'a')
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file.write(data)
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file.close()
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def load_json(filename):
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file = open(filename, 'r')
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data = json.loads(file.read())
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