def __train_init(cls, data_lines):
"""
Train init parameter
Args:
data_lines(list): content list of training data
"""
print('Begin training init parameter...')
length = len(data_lines)
progress = LineProgress(title='Training init')
count = 0
char_prob = dict()
for line in data_lines:
count += 1
progress.update(count * 100 / length)
line = line.strip()
if len(line) == 0:
continue
if not is_chinese(line[0]):
continue
char_prob[line[0]] = char_prob.get(line[0], 0) + 1
print('\nInserting into database...')
for character, prob in char_prob.items():
# noinspection PyTypeChecker
cls.insert(Init, character=character, prob=float(np.log(prob / length)))
print('Done training init parameter')
def __train_emission(cls, data_lines):
"""
Train emission parameter
Args:
data_lines(list): content list of training data
"""
print('Begin training emission parameter...')
length = len(data_lines)
progress = LineProgress(title='Training emission')
count = 0
char_pinyin_prob = dict()
for line in data_lines:
count += 1
progress.update(count * 100 / length)
line = line.strip()
if len(line) == 0:
continue
if not is_chinese(line):
continue
pinyin_list = pinyin(line, style=NORMAL, heteronym=True)
for character, pinyin_s in zip(line, pinyin_list):
pinyin_prob = char_pinyin_prob.get(character, dict())
for pin_yin in pinyin_s:
pinyin_prob[pin_yin] = pinyin_prob.get(pin_yin, 0) + 1
char_pinyin_prob[character] = pinyin_prob
print('\nInserting into database...')
for character, pinyin_prob in char_pinyin_prob.items():
for pin_yin, prob in pinyin_prob.items():
# noinspection PyTypeChecker
cls.insert(Emission, character=character, pin_yin=pin_yin,
prob=float(np.log(prob / sum(pinyin_prob.values()))))
print('Done training emission parameter')
def __train_transition(cls, data_lines):
"""
Train emission parameter
Args:
data_lines(list): content list of training data
"""
print('Begin training transition parameter...')
length = len(data_lines)
progress = LineProgress(title='Training transition')
count = 0
prev_next_prob = dict()
for line in data_lines:
count += 1
progress.update(count * 100 / length)
line = line.strip()
if len(line) <= 1:
continue
if not is_chinese(line):
continue
for prev_char, next_char in zip(line[:-1], line[1:]):
next_prob = prev_next_prob.get(prev_char, dict())
next_prob[next_char] = next_prob.get(next_char, 0) + 1
prev_next_prob[prev_char] = next_prob
print('\nInserting into database...')
for prev_char, next_prob in prev_next_prob.items():
for next_char, prob in next_prob.items():
# noinspection PyTypeChecker
cls.insert(Transition, prev_char=prev_char, next_char=next_char,
prob=float(np.log(prob / sum(next_prob.values()))))
print('Done training transition parameter')
def accuracy(cls, path='./Data/test.txt', size=1000, rounds=5):
"""
Test the model accuracy
Args:
path(str): path of test data
size(int): size of test data
rounds(int): rounds of test
"""
with open(path, 'r', encoding='utf-8') as file:
lines = file.readlines()
if size > len(lines):
print("The size is too large")
raise BaseException
accuracy_count = list()
start = time.time()
for i in range(rounds):
progress = LineProgress(title='Round ' + str(i + 1))
positives = np.random.randint(0, len(lines), size)
words = [lines[pos].split()[0] for pos in positives]
accurate_num = 0
for index, word in enumerate(words):
progress.update(index / size * 100)
pin_yin = ' '.join([py_list[0] for py_list in pinyin(word, style=NORMAL)])
prediction = HMModel.translate(pin_yin)
count = 0
for j in range(len(prediction)):
if prediction[j] == word[j]:
count += 1
accurate_num += count / len(word)
accuracy_count.append(accurate_num)
print("Avg. time consumption per round: {} s".format((time.time() - start) / rounds))
print("The test accuracy is: {:.2f}%".format(sum(accuracy_count) / (size * rounds) * 100))
def downloadTxtNovel(url, curChaptersNum=0):
response = requests.get(url)
response.encoding = "utf-8"
html = etree.HTML(response.text)
coverUrl = html.xpath("//*[@id='fmimg']/img/@src")[0]
title = html.xpath("//*[@id='info']/h1/text()")[0]
chaptersHtml = html.xpath("//*[@id='list']/dl/dd")
data = """\n"""
progress = LineProgress(total=100, title=title)
total = len(chaptersHtml) - curChaptersNum
for index in range(curChaptersNum, len(chaptersHtml)):
chapter = chaptersHtml[index]
title = chapter.xpath("./a/text()")[0].split("【")[0].split("(")[0]
data += ("\n\n" + title + "\n\n")
response = requests.get("http://www.xbiquge.la/" +
chapter.xpath("./a/@href")[0])
response.encoding = "utf-8"
chapterHtml = etree.HTML(response.text)
data += "".join(
chapterHtml.xpath("//*[@id='content']/text()")).replace(
"\xa0", " ").replace("\r", "\n")
progress.update(int((index - curChaptersNum + 1) / total * 100))
return coverUrl, len(chaptersHtml), data
def test_accuracy(path='./Data/dict.txt', size=1000, loop=5):
"""
Function for testing the model's accuracy
Args:
path(str): The path of test file
size(int): The size of test data
loop(int): The times of test
"""
with open(path, 'r', encoding='utf-8') as file:
lines = file.readlines()
if size > len(lines):
print("The size is too large")
raise BaseException
accurate_nums = list()
for i in range(loop):
progress = LineProgress(title='Loop ' + str(i + 1))
test_pos_list = np.random.randint(0, len(lines), size)
test_words = [lines[pos].split()[0] for pos in test_pos_list]
accurate_num = 0
for index, test_word in enumerate(test_words):
progress.update(index / size * 100)
pin_yin = ' '.join([
py_list[0] for py_list in pinyin(test_word, style=NORMAL)
])
prediction = Model.predict(pin_yin)
count = 0
for j in range(len(prediction)):
if prediction[j] == test_word[j]:
count += 1
accurate_num += count / len(test_word)
accurate_nums.append(accurate_num)
print("The test accuracy is: {:.2f}%".format(
sum(accurate_nums) / (size * loop) * 100))
class Progress():
def __init__(self, title, total):
self._counter = 0
self.total = total
self.progress = LineProgress(title=title)
def show_progress(self):
self._counter += 1
self.progress.update(int(self._counter / self.total * 100))
def minMaxSearch(self, board, color, nSteps, alpha, beta):
"""search for the best solution within nSteps range"""
if self.endBoard(board, WHITE):
return 1e9
elif self.endBoard(board, BLACK):
return -1e9
if nSteps == 0:
return ChessJudger().evaluate(board)
if color == WHITE: # enemy, min
ret = 1e9
else: # ai side, max
ret = -1e9
if nSteps == self.nSteps:
nCounter = len(np.where(board > 64)[0])
displayer = LineProgress(total=nCounter)
nCounter = 0
if color == WHITE:
iTurn = list(range(8))
elif color == BLACK:
iTurn = list(range(7, -1, -1))
jTurn = [3, 4, 2, 5, 1, 6, 0, 7]
for i in iTurn:
for j in jTurn:
if (color == BLACK and board[i][j] > 64) or (
color == WHITE and board[i][j] > 0
and board[i][j] < 64): # black
tempJudger = ChessJudger()
validMoves = tempJudger.validMoves(board, [i, j])
positionsX, positionsY = np.where(validMoves == 1)
rearrangedPairs = self.rearrangePositions(
color, positionsX, positionsY)
for (x, y) in rearrangedPairs:
newBoard = tempJudger.movedSituation(
board, [i, j], [x, y])
playoutPotential = self.minMaxSearch(
newBoard, not color, nSteps - 1, alpha, beta)
if color == WHITE: # enemy, min
ret = min(ret, playoutPotential)
beta = min(beta, ret)
if beta <= alpha:
# print("ALPHA CUT!")
return alpha
else:
if nSteps == self.nSteps:
# displayer.update(nCounter+1)
# nCounter+=1
if ret < playoutPotential: # TOP LAYER, upgrade best move
self.bestMove = [i, j, x, y]
print("FIND:", self.bestMove,
playoutPotential)
ret = max(ret, playoutPotential)
alpha = max(alpha, ret)
if beta <= alpha:
# print("BETA PRUNED！")
return beta
return ret
def __train_emission(cls, char_lines):
"""
Train emission parameter
Args:
char_lines(list): content list of training data
"""
print('Begin training emission parameter...')
length = len(char_lines)
progress = LineProgress(title='Training emission')
count = 0
char_pinyin_prob = dict()
for line in char_lines:
count += 1
progress.update(count * 100 / length)
line = line.strip()
line, data_type = line.split()[0], line.split()[1]
if data_type == 'S':
line = list(jieba.cut(line))
if len(line) == 0:
continue
if not is_chinese(line):
continue
if data_type == 'S':
pinyin_list = [pinyin(word, style=NORMAL) for word in line]
else:
pinyin_list = pinyin(line, style=NORMAL)
for character, pinyin_s in zip(line, pinyin_list):
pinyin_prob = char_pinyin_prob.get(character, dict())
pin_yin = ' '.join([py[0] for py in pinyin_s])
pinyin_prob[pin_yin] = pinyin_prob.get(pin_yin, 0) + 1
if data_type == 'W':
for pin_yin in pinyin_s:
pinyin_prob[pin_yin] = pinyin_prob.get(pin_yin, 0) + 1
char_pinyin_prob[character] = pinyin_prob
print('\nInserting into database...')
for character, pinyin_prob in char_pinyin_prob.items():
for pin_yin, prob in pinyin_prob.items():
# noinspection PyTypeChecker
cls.insert(Emission, character=character, pin_yin=pin_yin,
prob=float(np.log(prob / sum(pinyin_prob.values()))))
print('Done training emission parameter')
def addLineProgress(self, progressID, progressName):
progress = LineProgress(symbol=self.__progressSymbol__, width=self.__progressWidth__, title=progressName)
self.childProgress[progressID] = progress
self.__MultiProgress__.put(progressID, progress)
def __init__(self, title, total):
self._counter = 0
self.total = total
self.progress = LineProgress(title=title)
# print('线程%s已完成' % threading.current_thread().name)
t1 = threading.Thread(target=test_po, name='t1')
t2 = threading.Thread(target=test_po, name='t2')
t1.start()
t2.start()
t1.join()
t2.join()
test_po()
test_po()'''
from eprogress import LineProgress, MultiProgressManager
import threading, time
def li_po(proess_mager, sleep_time):
for i in range(1, 101):
proess_mager.update(threading.current_thread().name, i)
time.sleep(sleep_time)
proess_mager = MultiProgressManager()
t1 = threading.Thread(target=li_po, args=(proess_mager, 0.5), name='1')
t2 = threading.Thread(target=li_po, args=(proess_mager, 1), name='2')
proess_mager.put(str(1), LineProgress(total=100, title='1 Thread'))
proess_mager.put(str(2), LineProgress(total=100, title='2 Thread'))
t1.start()
t2.start()
t1.join()
t2.join()
def CreateProgress(title, max_l):
line_progress = LineProgress(title='qweqweqew', total=100, symbol='#')
for i in range(101):
line_progress.update(i * 2)
time.sleep(0.05)
def data_analysis(fund_with_achievement, choice_return_this, choice_time_this):
"""
按传入的训责策略，筛选出符合要求的基金
:param fund_with_achievement: 全部的基金信息文件名
:param choice_return_this: 要求的基金收益率
:param choice_time_this: 要求的任职时间
"""
# 文件以a方式写入，先进行可能的文件清理
try:
os.remove(fund_choice_filename)
except FileNotFoundError:
pass
try:
with open(fund_choice_filename, 'w') as f:
if fund_with_achievement == all_index_fund_with_msg_filename:
f.write(header_index_fund)
else:
f.write(header_guaranteed_fund)
print('筛选基金。。。')
with open(fund_with_achievement, 'r') as f:
count = 0
all_lines = f.readlines()[1:]
len_of_lines = len(all_lines)
line_progress = LineProgress(title='爬取进度')
for i in all_lines:
# 逐条检查
count += 1
sign = 1
# 取基金信息，并按收益率和任职时间分类
_, _, one_month, three_month, six_month, one_year, three_year, from_st, _, this_tenure_time, \
this_return, all_tenure_time, _ = i.split(',')
return_all = [
one_month, three_month, six_month, one_year, three_year,
from_st, this_return
]
time_all = [this_tenure_time, all_tenure_time]
# 信息未知或一月数据不存在（成立时间过短）的淘汰
if one_month == '??' or one_month == '--':
continue
# 收益率部分的筛选
for j, k in zip(choice_return_this.values(), return_all):
if k == '--':
continue
if float(k[:-1]) < j:
sign = 0
break
# 任职时间部分的筛选
if sign == 1:
for j, k in zip(choice_time_this.values(), time_all):
for l, m in zip(j, get_time_from_str(k)):
if m > l:
break
elif m == l:
continue
else:
sign = 0
break
# 符合要求的保存进文件
if sign == 1:
with open(fund_choice_filename, 'a') as f2:
f2.write(i)
line_progress.update(count * 100 // len_of_lines)
except Exception as e:
print(e)
def get_past_performance(source_file):
"""
在简单基金目录的基础上，爬取所有基金的信息
:param source_file:要爬取的基金目录
:return 爬取失败的(基金代码，基金名称)list
"""
# 测试文件是否被占用，并写入列索引
global thread_pool
try:
if source_file == all_fund_filename:
with open(all_index_fund_with_msg_filename, 'w') as f:
f.write(header_index_fund)
f.write('\n')
with open(all_guaranteed_fund_with_msg_filename, 'w') as f:
f.write(header_guaranteed_fund)
f.write('\n')
except IOError:
print('文件' + all_fund_filename + '无法打开')
return
if type(source_file) == str:
with open(source_file, 'r') as f:
# 逐个爬取所有基金的信息
fund_list = f.readlines()
os.remove(source_file)
else:
fund_list = source_file
# 进度条
line_progress = LineProgress(title='爬取进度')
# 线程集合
thread = list()
# 接受线程爬取的信息
queue_index_fund = Queue()
queue_guaranteed_fund = Queue()
queue_other_fund = Queue()
queue_give_up = Queue()
lock_thread_pool = threading.Lock()
last_queue_num = 0
fund_list_length = len(fund_list)
ture_done_num = 0
def save_file():
# 写入文件
with open(all_index_fund_with_msg_filename, 'a') as f:
while not queue_index_fund.empty():
i = queue_index_fund.get()
for j in i:
f.write(j + ',')
f.write('\n')
with open(all_guaranteed_fund_with_msg_filename, 'a') as f:
while not queue_guaranteed_fund.empty():
i = queue_guaranteed_fund.get()
for j in i:
f.write(j + ',')
f.write('\n')
for i in fund_list:
# 已完成的基金数目
done_num = (queue_index_fund.qsize() + queue_guaranteed_fund.qsize() +
queue_other_fund.qsize() + queue_give_up.qsize())
try:
code, name = i.split(',')
name = name[:-1]
except ValueError:
continue
# 多线程爬取
t = threading.Thread(target=thread_get_past_performance,
args=(code, name, queue_index_fund,
queue_guaranteed_fund, queue_other_fund,
queue_give_up, lock_thread_pool))
thread.append(t)
t.setName(code + ',' + name)
t.start()
for t in thread:
if not t.is_alive():
thread.remove(t)
# 判断线程集合是否过大
if len(thread) > thread_pool:
thread_pool += done_num - last_queue_num
last_queue_num = done_num
while len(thread) > thread_pool:
time.sleep(random.random())
for t in thread:
if not t.is_alive():
thread.remove(t)
line_progress.update(
(ture_done_num + done_num) * 100 // fund_list_length)
# 爬取一定数目之后保存一次文件，发现爬取过程中速度会变慢，可通过实验调节num_save_file和休眠的值，达到间歇爬取，提高速度的目的
if done_num >= num_save_file:
time.sleep(5)
thread_pool += done_num - last_queue_num
last_queue_num = 0
ture_done_num += queue_index_fund.qsize(
) + queue_guaranteed_fund.qsize()
save_file()
# 等待所有线程执行完毕
while len(thread) > 0:
for t in thread:
if not t.is_alive():
thread.remove(t)
process = (queue_index_fund.qsize() + queue_guaranteed_fund.qsize() +
queue_other_fund.qsize() + queue_give_up.qsize() +
ture_done_num) * 100 // fund_list_length
line_progress.update(process)
time.sleep(random.random())
save_file()
print('\n基金信息爬取完成，其中处于封闭期或已终止的基金有' + str(queue_other_fund.qsize()) +
'个，爬取失败的有' + str(queue_give_up.qsize()) + '个')
return list(queue_give_up.get() for i in range(queue_give_up.qsize()))
def get_past_performance(all_fund_generator_or_list, first_crawling=True):
"""
在简单基金目录的基础上，爬取所有基金的信息
:param all_fund_generator_or_list: 要爬取的基金目录(generator) 也可以直接是列表('基金代码,基金名称')(list)
:param first_crawling: 是否是第一次爬取，这决定了是否会重新写保存文件（清空并写入列索引）
:return 爬取失败的('基金代码,基金名称')(list)
"""
maximum_of_thread = 1
# 测试文件是否被占用，并写入列索引
try:
if first_crawling:
with open(all_index_fund_with_msg_filename, 'w') as f:
f.write(header_index_fund)
with open(all_guaranteed_fund_with_msg_filename, 'w') as f:
f.write(header_guaranteed_fund)
except IOError:
print('文件' + all_fund_filename + '无法打开')
return
# 对于输入为list的情况，构造成迭代器
if type(all_fund_generator_or_list) == list:
all_fund_generator_or_list = (i for i in all_fund_generator_or_list)
elif str(type(all_fund_generator_or_list)) != "<class 'generator'>":
raise AttributeError
# 进度条
line_progress = LineProgress(title='爬取进度')
# 线程集合
thread = list()
# 接受线程爬取的信息
queue_index_fund = Queue()
queue_guaranteed_fund = Queue()
queue_other_fund = Queue()
queue_give_up = Queue()
num_of_previous_completed = 0
num_of_last_addition_of_completed_fund_this_time = 0
num_of_last_addition_give_up_fund = 0
num_of_last_addition_other_fund = 0
need_to_save_file_event = threading.Event()
def save_file():
nonlocal maximum_of_thread, num_of_last_addition_of_completed_fund_this_time, num_of_previous_completed, \
num_of_last_addition_give_up_fund, num_of_last_addition_other_fund
# 写入文件和最大线程数减半
while True:
need_to_save_file_event.wait()
maximum_of_thread = (maximum_of_thread // 2) + 1
num_of_last_addition_of_completed_fund_this_time = 0
num_of_previous_completed += (queue_index_fund.qsize() +
queue_guaranteed_fund.qsize() +
queue_other_fund.qsize() +
queue_give_up.qsize() -
num_of_last_addition_give_up_fund -
num_of_last_addition_other_fund)
num_of_last_addition_give_up_fund = queue_give_up.qsize()
with open(all_index_fund_with_msg_filename, 'a') as f:
while not queue_index_fund.empty():
i = queue_index_fund.get()
for j in i:
f.write(j + ',')
f.write('\n')
with open(all_guaranteed_fund_with_msg_filename, 'a') as f:
while not queue_guaranteed_fund.empty():
i = queue_guaranteed_fund.get()
for j in i:
f.write(j + ',')
f.write('\n')
need_to_save_file_event.clear()
t = threading.Thread(target=save_file)
t.setDaemon(True)
t.start()
try:
while True:
i = next(all_fund_generator_or_list)
try:
code, name = i.split(',')
name = name[:-1]
except ValueError:
continue
num_of_completed_this_time = (queue_index_fund.qsize() +
queue_guaranteed_fund.qsize() +
queue_other_fund.qsize() +
queue_give_up.qsize() -
num_of_last_addition_give_up_fund -
num_of_last_addition_other_fund)
# 多线程爬取
t = threading.Thread(target=thread_get_past_performance,
args=(code, name, queue_index_fund,
queue_guaranteed_fund, queue_other_fund,
queue_give_up, need_to_save_file_event))
thread.append(t)
t.setName(code + ',' + name)
t.start()
for t in thread:
if not t.is_alive():
thread.remove(t)
if len(thread) > maximum_of_thread:
time.sleep(random.random())
if need_to_save_file_event.is_set():
while need_to_save_file_event.is_set():
pass
else:
maximum_of_thread += num_of_completed_this_time - num_of_last_addition_of_completed_fund_this_time
num_of_last_addition_of_completed_fund_this_time = num_of_completed_this_time
while len(thread) > maximum_of_thread // 2:
for t in thread:
if not t.is_alive():
thread.remove(t)
line_progress.update(
(num_of_previous_completed + num_of_completed_this_time) *
100 // sum_of_fund)
except StopIteration:
pass
# 等待所有线程执行完毕
while len(thread) > 0:
line_progress.update((sum_of_fund - len(thread)) * 100 // sum_of_fund)
time.sleep(random.random())
for t in thread:
if not t.is_alive():
thread.remove(t)
line_progress.update(99)
need_to_save_file_event.set()
line_progress.update(100)
print('\n基金信息爬取完成，其中处于封闭期或已终止的基金有' + str(queue_other_fund.qsize()) +
'个，爬取失败的有' + str(queue_give_up.qsize()) + '个')
return list(queue_give_up.get() for i in range(queue_give_up.qsize()))
which = int(which)
thread_pool = []
if which == 1:
# circle
circle_progress = CircleProgress(title='circle loading')
# circle_thread = threading.Thread(target=mock_single_progress, args=(circle_progress, 0.1))
# thread_pool.append(circle_thread)
# circle_thread.start()
for i in range(1, 101):
circle_progress.update(i)
time.sleep(0.1)
elif which == 2:
# line
line_progress = LineProgress(title='line progress')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.05)
# line_thread = threading.Thread(target=mock_single_progress, args=(line_progress, 0.05))
# thread_pool.append(line_thread)
# line_thread.start()
elif which == 3:
# multi line
progress_manager = MultiProgressManager()
thread1 = threading.Thread(target=mock_multi_progress,
args=(progress_manager, 0.05),
name=str(1001))
thread2 = threading.Thread(target=mock_multi_progress,
args=(progress_manager, 0.2),
from eprogress import LineProgress, CircleProgress, MultiProgressManager
import time
circle_progress = CircleProgress(title='circle loading')
for i in range(1, 101):
circle_progress.update(i)
time.sleep(0.1)
line_progress = LineProgress(title='line progress')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.05)
def main(LIMT=20, ):
circle_progress = CircleProgress(title='Initialize loading')
for i in range(1, 10):
circle_progress.update(i)
time.sleep(0.1)
line_progress = LineProgress(title='Scan System Information')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.02)
line_progress = LineProgress(title='Scan Patch')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.03)
line_progress = LineProgress(title='Scan Model')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.03)
MODLENUM = 0
FORMATS = 0
STACKS = 0
REGSS = 0
RWS = 0
TOTALNUM = 0
FORMATN = 0
STACKN = 0
REGN = 0
RWN = 0
start = timeit.default_timer()
set_win()
display_info(" BJTU ZXY MAKARA ", 0, 0, 1)
display_info(" Version: Beta 0.1 ", 17, 0, 2)
display_info(" Gitee: https://gitee.com/zeroaone/makara \n", 36, 0, 3)
str1 = (
" __ __ _ _ __ _ ____ _\n"
"| \/ | / \ | |/ / / \ | _ \ / \\\n"
"| |\/| | / _ \ | ' / / _ \ | |_) | / _ \\\n"
"| | | |/ ___ \| . \ / ___ \| _ < / ___ \\\n"
"|_| |_/_/ \_\_|\_\/_/ \_\_| \_\/_/ \_\\\n"
"\n"
)
display_info_flash(str1, 0, 1)
display_info("[CPU: %]", 0, 7, 4)
display_info("[CPU-USER-TIME: ]", 0, 8, 4)
display_info("[MEM: %]", 0, 9, 4)
display_info("[ PROCESS TIMING ] \n", 0, 10, 1)
display_info("TIMING LIMIT ：" + str(LIMT) + " MIN", 0, 11, 1)
display_info("TIMING RUNING：", 0, 12, 1)
display_info("[ SCAN BUG STEP ] \n", 0, 13, 2)
display_info("MODEL NUM：", 0, 14, 4)
display_info("FORMAT STEPS：", 0, 15, 4)
display_info("STACK STEPS：", 0, 16, 4)
display_info("REGS STEPS：", 0, 17, 4)
display_info("RW STEPS：", 0, 18, 4)
display_info("[ SCAN BUG NUM ] \n", 0, 19, 2)
display_info("TOTAL NUMS：", 0, 20, 4)
display_info("FORMAT NUMS：", 0, 21, 4)
display_info("STACK NUMS：", 0, 22, 4)
display_info("REGS NUMS：", 0, 23, 4)
display_info("RW NUMS：", 0, 24, 4)
try:
while 1:
MODLENUM = MODLENUM + random.randint(30,50)
FORMATS = FORMATS + random.randint(0, 20)
STACKS = STACKS + random.randint(0, 20)
REGSS = REGSS + random.randint(0, 20)
RWS = RWS + random.randint(0, 20)
FORMATN = ReadNum("fmt.json")
STACKN = ReadNum("stack.json")
REGN = ReadNum("regs.json")
RWN = ReadNum("ArbRW.json")
TOTALNUM = FORMATN + STACKN + REGN + RWN
end = timeit.default_timer()
time.sleep(0.5)
mem = psutil.virtual_memory().percent
cpu = psutil.cpu_percent()
cpuuser = psutil.cpu_times().user
display_info(str(cpu), 6, 7, 5)
display_info(str(cpuuser), 16, 8, 5)
display_info(str(mem), 6, 9, 5)
display_info(str(end - start), 14, 12, 5)
display_info(str(MODLENUM), 15, 14, 5)
display_info(str(FORMATS), 15, 15, 5)
display_info(str(STACKS), 15, 16, 5)
display_info(str(REGSS), 15, 17, 5)
display_info(str(RWS), 15, 18, 5)
display_info(str(TOTALNUM), 15, 20, 5)
display_info(str(FORMATN), 15, 21, 5)
display_info(str(STACKN), 15, 22, 5)
display_info(str(REGN), 15, 23, 5)
display_info(str(RWN), 15, 24, 5)
except KeyboardInterrupt:
unset_win()
def crawling_fund(fund_list_class: GetFundList, first_crawling=True):
"""
在简单基金目录的基础上，爬取所有基金的信息
:param fund_list_class: 提供要爬取的基金目录的类
:param first_crawling: 是否是第一次爬取，这决定了是否会重新写保存文件（清空并写入列索引）
:return 爬取失败的('基金代码,基金名称')(list)
"""
# 进度条 基金总数 爬取进度
line_progress = LineProgress(title='爬取进度')
cur_process = 0
# 爬取输入、输出队列，输入结束事件，网络状态事件，爬取核心
input_queue = Queue()
result_queue = Queue()
finish_sign = Event()
network_health = Event()
crawling_core = GetPageByWebWithAnotherProcessAndMultiThreading(
input_queue, result_queue, finish_sign, network_health, TIMEOUT)
crawling_core.start()
fund_list = fund_list_class.get_fund_list()
num_of_fund = fund_list_class.sum_of_fund
having_fund_need_to_crawl = True
# 未来有计划将解析部分独立
fund_web_page_parse = parse_fund_info()
manager_web_page_parse = parse_manager_info()
write_file = write_to_file(first_crawling)
next(fund_web_page_parse)
next(manager_web_page_parse)
next(write_file)
if_first_show_network_problem = True
while True:
if network_health.is_set():
if if_first_show_network_problem:
print('如果此条提示持续出现，请检查当前的网络状态')
if_first_show_network_problem = False
elif not if_first_show_network_problem:
if_first_show_network_problem = True
# 根据短路原则，首先是是否还有要爬取的基金，然后是判断需要解析的数据量（控制内存），最后才是查看输入队列的情况
while having_fund_need_to_crawl and result_queue.qsize(
) < 100 and input_queue.qsize() < 10:
try:
code, name = next(fund_list).split(',')
except StopIteration:
having_fund_need_to_crawl = False
break
tem_fund_info = FundInfo()
tem_fund_info.set_fund_info('基金名称', name)
tem_fund_info.set_fund_info('基金代码', code)
input_queue.put(
('http://fund.eastmoney.com/' + code + '.html', tem_fund_info))
# 优先补充输入队列，保证爬取的速度，再处理需要解析的数据
while (input_queue.qsize() > 5
or not having_fund_need_to_crawl) and result_queue.qsize():
a_result = result_queue.get()
# 若上次的爬取失败了，则重试，未对一直失败的进行排除
if a_result[0] == 'error':
input_queue.put(a_result[1:])
else:
if a_result[2].next_step == 'parsing_fund':
new_fund_info: FundInfo = fund_web_page_parse.send(
a_result[1:])
if new_fund_info.next_step == 'parsing_manager':
input_queue.put(
(new_fund_info.manager_need_process_list[-1][0],
new_fund_info))
else:
result_queue.put((None, None, new_fund_info))
elif a_result[2].next_step == 'parsing_manager':
new_fund_info: FundInfo = manager_web_page_parse.send(
a_result[1:])
if new_fund_info.next_step == 'parsing_manager':
input_queue.put(
(new_fund_info.manager_need_process_list[-1][0],
new_fund_info))
else:
result_queue.put((None, None, new_fund_info))
elif a_result[2].next_step == 'writing_file':
write_file.send(a_result[2])
cur_process += 1
line_progress.update(100 * cur_process / num_of_fund)
else:
print(
f'请检查FundInfo的next_step(此处为{a_result[2].next_step})设置，出现了未知的参数'
)
# 完成所有任务判断
if not having_fund_need_to_crawl and input_queue.qsize(
) == 0 and result_queue.qsize() == 0:
time.sleep(TIMEOUT)
if not having_fund_need_to_crawl and input_queue.qsize(
) == 0 and result_queue.qsize() == 0:
break
finish_sign.set()
def main(args):
# pass
FindBUG.main(args)
if __name__ == '__main__':
global filename
circle_progress = CircleProgress(title='Initialize loading')
for i in range(1, 10):
circle_progress.update(i)
time.sleep(0.1)
line_progress = LineProgress(title='Scan System Information')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.2)
line_progress = LineProgress(title='Scan Patch')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.5)
line_progress = LineProgress(title='Scan Model')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.5)
# print("\033[34mSuixinBlog: https://suixinblog.cn\033[0m")
def main(LIMT=20, ):
circle_progress = CircleProgress(title='Initialize loading')
for i in range(1, 10):
circle_progress.update(i)
time.sleep(0.1)
line_progress = LineProgress(title='Scan System Information')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.02)
line_progress = LineProgress(title='Scan Patch')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.03)
line_progress = LineProgress(title='Scan Model')
for i in range(1, 101):
line_progress.update(i)
time.sleep(0.03)
cpuuser = 0
MODLENUM = 0
FORMATS = 0
STACKS = 0
REGSS = 0
RWS = 0
TOTALNUM = 0
FORMATN = 0
STACKN = 0
REGN = 0
RWN = 0
start = timeit.default_timer()
set_win()
display_info(" BJTU ZXY MAKARA ", 0, 0, 1)
display_info(" Version: Beta 0.1 ", 17, 0, 2)
display_info(" Gitee: https://gitee.com/zeroaone/makara \n", 36, 0, 3)
str1 = (" __ __ _ _ __ _ ____ _\n"
"| \/ | / \ | |/ / / \ | _ \ / \\\n"
"| |\/| | / _ \ | ' / / _ \ | |_) | / _ \\\n"
"| | | |/ ___ \| . \ / ___ \| _ < / ___ \\\n"
"|_| |_/_/ \_\_|\_\/_/ \_\_| \_\/_/ \_\\\n"
"\n")
display_info_flash(str1, 0, 1)
display_info("[CPU: %]", 0, 7, 4)
display_info("[CPU-USER-TIME: ]", 0, 8, 4)
display_info("[MEM: %]", 0, 9, 4)
display_info("[ PROCESS TIMING ] \n", 0, 10, 1)
display_info("TIMING LIMIT ：" + str(LIMT) + " MIN", 0, 11, 1)
display_info("TIMING RUNING：", 0, 12, 1)
display_info("[ SCAN BUG STEP ] \n", 0, 13, 2)
display_info("MODEL NUM：", 0, 14, 4)
display_info("FORMAT STEPS：", 0, 15, 4)
display_info("STACK STEPS：", 0, 16, 4)
display_info("REGS STEPS：", 0, 17, 4)
display_info("RW STEPS：", 0, 18, 4)
display_info("[ SCAN BUG NUM ] \n", 0, 19, 2)
display_info("TOTAL NUMS：", 0, 20, 4)
display_info("FORMAT NUMS：", 0, 21, 4)
display_info("STACK NUMS：", 0, 22, 4)
display_info("REGS NUMS：", 0, 23, 4)
display_info("RW NUMS：", 0, 24, 4)
display_info("[ SYSTEM INFO ] \n", 0, 25, 2)
display_info("CPU NAME：", 0, 26, 4)
display_info("CPU ARCH：", 0, 27, 4)
display_info("IP ADDRES：", 0, 28, 4)
display_info("OS INFO：", 0, 29, 4)
display_info("[LOG INFO LATEST 10] \n", 0, 30, 2)
try:
while 1:
FORMATS = FORMATS + random.randint(0, 10)
STACKS = STACKS + random.randint(0, 20)
REGSS = REGSS + random.randint(0, 20)
RWS = RWS + random.randint(0, 20)
MODLENUM = FORMATS + STACKS + REGSS + RWS
#PROCESS TIMING
FORMATN = FORMATN + random.randint(0, 2)
STACKN = STACKN + random.randint(0, 2)
REGN = REGN + random.randint(0, 2)
RWN = RWN + random.randint(0, 2)
TOTALNUM = FORMATN + STACKN + REGN + RWN
end = timeit.default_timer()
time.sleep(1.5)
mem = random.randint(0, 100)
cpu = random.randint(0, 100)
cpuuser = cpuuser + 1
#SCAN BUG STEP
display_info(str(cpu), 6, 7, 5)
display_info(str(cpuuser), 16, 8, 5)
display_info(str(mem), 6, 9, 5)
display_info(str(end - start), 14, 12, 5)
#SYSTEM INFO
display_info(str(MODLENUM), 15, 14, 5)
display_info(str(FORMATS), 15, 15, 5)
display_info(str(STACKS), 15, 16, 5)
display_info(str(REGSS), 15, 17, 5)
display_info(str(RWS), 15, 18, 5)
display_info(str(TOTALNUM), 15, 20, 5)
display_info(str(FORMATN), 15, 21, 5)
display_info(str(STACKN), 15, 22, 5)
display_info(str(REGN), 15, 23, 5)
display_info(str(RWN), 15, 24, 5)
#SYSTEM INFO
display_info('Qualcomm Technologies, Inc SDM660', 15, 26, 5)
display_info('ARM aarch64', 15, 27, 5)
display_info('192.168.31.106', 15, 28, 5)
display_info('Android 9', 15, 29, 5)
#logINFO
str1 = []
str1.append("adasdasdasdasdasdasdasd")
str1.append("sfasgea")
str1.append("asasdasdasd")
str1.append("ftrythfgh")
str1.append("sadf34q")
str1.append("vbvnvcbnbvnvb")
str1.append("wrwersdf")
str1.append("3454356ydh")
str1.append("hdfhdfg")
str1.append("eqwrsdfasdf")
str1.append("cvbnvcb")
str1.append("adhxcncvnvbxdfgsdgrsdrg")
str1.append("fdsadfzxdvzxvd")
str1.append("vzxcvzxcvzxcvzxvzxcvzxc")
index = random.randint(0, 12)
display_info(str1[index], 0, 31, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 32, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 33, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 34, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 35, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 36, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 37, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 38, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 39, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 40, 5)
index = random.randint(0, 12)
display_info(str1[index], 0, 41, 5)
except KeyboardInterrupt:
unset_win()
def get_room_search_result(min_lng,
max_lng,
min_lat,
max_lat,
zoom,
order_by,
sort_flag,
room_filter_args,
court_filter_args=None,
min_price='',
max_price='',
feature='',
leasetype='',
tag='',
resblock_id='',
transport='',
minute=''):
"""
爬取搜索结果，参数含义请看文件开头对url的描述
:return list of ARoomResult, total_num of room
"""
global IF_FILTER_COURT
if not court_filter_args:
IF_FILTER_COURT = False
results = ResultListWithFilter(
RoomFilterByBothPriceAndArea(room_filter_args),
CourtFilterByAge(court_filter_args))
first_result = get_result_from_one_page(min_lng, max_lng, min_lat, max_lat,
zoom, 1, order_by, sort_flag,
min_price, max_price, feature,
leasetype, tag, resblock_id,
transport, minute)
total_room_num = first_result['total']
print(f'过滤前的搜索到的房间总数为{total_room_num}')
# 设置进度条
line_progress = LineProgress(
total=total_room_num) if LineProgress else None
for i in first_result['rooms']:
tem_room_base_info = RoomBaseInfo.parse(i)
tem_court_info = CourtDetail.parse(
get_court_info(tem_room_base_info.court_id))
results.append(RoomDetail(tem_room_base_info, tem_court_info))
if line_progress:
line_progress.update_by_cur_num(results.count)
if first_result:
total_page_num = int(first_result['pages'])
for page_num in range(2, total_page_num):
page_result = get_result_from_one_page(min_lng, max_lng, min_lat,
max_lat, zoom, page_num,
order_by, sort_flag,
min_price, max_price,
feature, leasetype, tag,
resblock_id)
if page_result:
for i in page_result['rooms']:
tem_room_base_info = RoomBaseInfo.parse(i)
tem_court_info = CourtDetail.parse(
get_court_info(tem_room_base_info.court_id))
results.append(
RoomDetail(tem_room_base_info, tem_court_info))
if line_progress:
line_progress.update_by_cur_num(results.count)
return results.get_result_list(), total_room_num
import urllib.request as rq
import os
import json
from eprogress import LineProgress
url = "https://www.bilibili.com/index/index-icon.json"
save_dir = "bilibili_images/"
res = rq.urlopen(url)
json_str = json.loads(res.read())
if not os.path.exists(save_dir):
os.mkdir(save_dir)
images = json_str["fix"]
total = len(images)
progress = LineProgress(title='total ' + str(total) + ' images, downloading progress')
for index, im in enumerate(images):
title, icon_url = im["title"], im["icon"]
ss = rq.urlretrieve("http:" + icon_url, filename=os.path.join(save_dir, title + "." + icon_url.split('.')[-1]))
progress.update(int((index + 1) / total * 100))
print("\ndone.")
