def check(*args): f3 = open('复习.txt', 'r', encoding='utf-8') s3 = f3.read() s3 = s3.strip() words = s3.split('\n') word = words[0].split('/') Label(mainframe, text='正确答案是：', height=2, font=('隶书', 13)) \ .grid(column=0, row=40, columnspan=1) a7.set(word[0]) answer = a5.get() answer = answer.strip() # 去掉回车而产生的换行符 word[0] = word[0].strip() # 去掉空格 if word[0] == answer: a6.set('回答正确！') f5 = open('已掌握单词.txt', 'a+', encoding='utf-8') # 将拼写正确的单词放入"已掌握单词"文件中 str5 = words.pop(0) + '\n'#pop(0)方法从words列表中删除并返回第一个元素。然后，+ '\n'将所取得的第一个元素和一个换行符\n拼接在一起。 f5.write(str5) f5.close() ng1 = int(ng.get()) # 掌握单词数加一 ng.set(str(ng1 + 1)) else: a6.set('回答错误！') nng1 = int(nng.get()) # 未掌握单词数加一 nng.set(str(nng1 + 1)) del words[0] # 直接将未掌握的单词删除 str3 = '\n'.join(words)#使用join()方法将words列表中的所有元素连接起来，并用\n作为分隔符 f3 = open('复习.txt', 'w', encoding='utf-8') f3.write(str3) f3.close()

Python库 | frida-14.2.18-py3.8-linux-i686.egg

sys.stdin.read() pid = os.getpid() # 获取当前进程ID attach_script(pid, "strlen") 2. **动态调试**：以下示例展示了如何附加到一个进程并启动调试： python import frida js_code = """ Interceptor...

java.exe和javaw.exe的区别及使用方法

这里，-options可以是各种JVM参数，例如内存设置 -Xms 和 -Xmx，className 是程序的主类名，jarFile 是打包的.jar文件名，args... 是传递给主类的参数。总之，java.exe和javaw.exe的选择取决于...

# -- coding: utf-8 -- import argparse import time import pymysql dbhost = '' dbport = '' dbuser = '' dbpass = '' def banner(): parser = argparse.ArgumentParser(description='Process MySQLMonitor command line arguments') parser.add_argument('--host', type=str, help='mysql host') parser.add_argument('--port', type=str, help='mysql port') parser.add_argument('--username', type=str, help='mysql username') parser.add_argument('--password', type=str, help='mysql password') parser.add_argument('--info', action='store_true', help='Help Info') args = parser.parse_args() helpinfo = '''[?]CommandLine: --host mysql host --port mysql port --username mysql username --password mysql password --info help info eg: python x-tools.py --host 127.0.0.1 --port 3306 --username root --password root''' dbhost = args.host dbport = args.port or '3306' dbuser = args.username dbpass = args.password if args.info: print(helpinfo) exit() if not (args.host and args.username and args.password): print(helpinfo) exit()这样写对吗

代码的格式看上去没有问题，但是需要注意的是，函数内定义的变量在函数外是无法访问的。也就是说，你在函数内定义的 dbhost、dbport、dbuser、dbpass 四个变量，在函数外是无法直接使用的。...

import requestsfrom html.parser import HTMLParserimport argparsefrom concurrent.futures import ThreadPoolExecutor, ProcessPoolExecutor, as_completedimport multiprocessingprefix = "save/"readed_path = multiprocessing.Manager().Queue()cur_path = multiprocessing.Manager().Queue()new_path = multiprocessing.Manager().Queue()lock = multiprocessing.Lock()class MyHttpParser(HTMLParser): def init(self): super().init() self.tag = [] self.href = "" self.txt = "" def handle_starttag(self, tag, attrs): self.tag.append(tag) if tag == "a": for att in attrs: if att[0] == 'href': self.href = att[1] def handle_endtag(self, tag): if tag == "a" and len(self.tag) > 2 and self.tag[-2] == "div": print("in div, link txt is %s ." % self.txt) print("in div, link url is %s ." % self.href) if not self.href in readed_path.queue: readed_path.put(self.href) new_path.put(self.href) self.tag.pop(-1) def handle_data(self, data): if len(self.tag) >= 1 and self.tag[-1] == "a": self.txt = datadef LoadHtml(path, file_path): if len(file_path) == 0: file_path = "/" url = f"http://{path}{file_path}" try: response = requests.get(url) print(response.status_code, response.reason, response.raw.version) data = response.content.decode("utf-8") if response.status_code == 301: data = response.headers["Location"] if not data in readed_path.queue: new_path.put(data) data = "" return data except Exception as e: print(e.args)def ParseArgs(): parser = argparse.ArgumentParser() parser.add_argument("-p", "--path", help="domain name") parser.add_argument("-d", "--deep", type=int, help="recursion depth") args = parser.parse_args() return argsdef formatPath(path): path = path.removeprefix("https://") path = path.removeprefix("http://") path = path.removeprefix("//") return pathdef doWork(path): path = formatPath(path) m = path.find("/") if m == -1: m = len(path) data = LoadHtml(path[:m], path[m:]) with open(prefix + path[:m] + ".html", "w+", encoding="utf-8") as f: f.write(data) parse.feed(data)def work(maxdeep): args = ParseArgs() cur_path.put(formatPath(args.path)) readed_path.put(formatPath(args.path)) parse = MyHttpParser() with ProcessPoolExecutor(max_workers=4) as executor: for i in range(args.deep): size = cur_path.qsize() futures = [executor.submit(doWork, cur_path.get()) for _ in range(size)] for future in as_completed(futures): try: future.result() except Exception as e: print(e) cur_path.queue.clear() while not new_path.empty(): cur_path.put(new_path.get()) print(i)if name == 'main': work(5)此代码出现Unresolved reference 'parse'

这是因为您在 doWork 函数中使用了 parse 变量，但是该变量未在 doWork 函数中定义或传递。您需要将 parse 变量作为参数传递给 doWork 函数，或者将其定义为全局变量，以便在 doWork 函数中使用它。...

import http.client from html.parser import HTMLParser import argparse from concurrent.futures import ThreadPoolExecutor import multiprocessing.pool prefix = "save/" readed_path = multiprocessing.Manager().list() cur_path = multiprocessing.Manager().list() new_path = multiprocessing.Manager().list() lock = multiprocessing.Lock() class MyHttpParser(HTMLParser): def init(self): HTMLParser.init(self) self.tag = [] self.href = "" self.txt = "" def handle_starttag(self, tag, attrs): self.tag.append(tag) # print("start tag in list :" + str(self.tag)) if tag == "a": for att in attrs: if att[0] == 'href': self.href = att[1] def handle_endtag(self, tag): if tag == "a" and len(self.tag) > 2 and self.tag[-2] == "div": print("in div, link txt is %s ." % self.txt) print("in div, link url is %s ." % self.href) lock.acquire() if not self.href in readed_path: readed_path.append(self.href) new_path.append(self.href) # print("end tag in list :" + str(self.tag)) lock.release() self.tag.pop(-1) def handle_data(self, data): if len(self.tag) >= 1 and self.tag[-1] == "a": self.txt = data def LoadHtml(path, file_path): if len(file_path) == 0: file_path = "/" conn = http.client.HTTPConnection(path) try: conn.request("GET", file_path) response = conn.getresponse() print(response.status, response.reason, response.version) data = response.read().decode("utf-8") if response.status == 301: data = response.getheader("Location") lock.acquire() new_path.append(data) lock.release() data = "" #print(data) conn.close() return data except Exception as e: print(e.args) def ParseArgs(): # 初始化解析器 parser = argparse.ArgumentParser() # 定义参数 parser.add_argument("-p", "--path", help="域名") parser.add_argument("-d", "--deep", type=int, help="递归深度") # 解析 args = parser.parse_args() return args def formatPath(path): path = path.removeprefix("https://") path = path.removeprefix("http://") path = path.removeprefix("//") return path def doWork(path): path = formatPath(path) m = path.find("/") if m == -1: m = len(path) data = LoadHtml(path[:m], path[m:]) with open(prefix + path[:m] + ".html", "w+", encoding="utf-8") as f: f.write(data) parse.feed(data) def work(deep,maxdeep): if deep > maxdeep: return args = ParseArgs() cur_path.append(formatPath(args.path)) readed_path.append(formatPath(args.path)) parse = MyHttpParser() e = multiprocessing.Pool(4) for i in range(args.deep): size = len(cur_path) e.map(doWork,cur_path) cur_path[:]=[] for p in new_path: cur_path.append(p) new_path[:]=[] print(i)优化此代码能在windows下运行

with open(prefix + path[:m] + ".html", "w+", encoding="utf-8") as f: f.write(data) parse.feed(data) def work(maxdeep): args = ParseArgs() cur_path.put(formatPath(args.path)) readed_path.put...

@api.resource("/writeCookie") class Datainfo(Resource): def post(self): try: result = ApiResult() parser = reqparse.RequestParser() parser.add_argument('cookie', location="json") args = parser.parse_args(strict=True) cookie = args.get('cookie') self.write_txt(cookie) result.code = 200 result.data = "写入成功" result.message = "请求成功" # status 0 一次性任务或结束任务，status 1 定时任务 except Exception as e: traceback.print_exc() print("An exception occurred:", type(e).name, "–", e) print('异常原因', e) result.code = 400 result.data = "写入失败" result.message = "请求异常" return result.to_resp() def write_txt(self, content): with open("cookie.txt", "w", encoding="utf-8") as f: f.write(content) f.closed # True file关闭了逐行注释

@api.resource("/writeCookie") # ... with open("cookie.txt", "w", encoding="utf-8") as f: # 打开文件cookie.txt，以写入模式 f.write(content) # 将内容写入文件 f.closed # 文件关闭状态为True，表示文件已关闭

上面的前端代码加上下面的后端代码，访问报错，帮我检查错误from flask import Flask, make_response from flask import render_template from flask import request import os app = Flask(name) @app.route('/') def index(): return render_template('1.html') # @app.route('/index/') # def root(): # uid = str(request.args['uid']) # with open("code_save.csv", "a+", encoding='utf-8')as f: # f.write(uid) # # os.system("python test.py") # response = make_response("被返回的信息") # return response @app.route('/post/') def post(): json = request.json print(json+'-*****************************************') return json if name == 'main': app.run(debug=True, host='0.0.0.0', port=112)

with open("code_save.csv", "a+", encoding='utf-8') as f: f.write(uid) # os.system("python test.py") response = make_response("被返回的信息") return response 如果你不需要该路由，可以将其删除...

io = open.self def uN(b): out = 0 for i in range(len(b)): out |= (b[i] & 0xff) << i8 return out def u64(x): assert len(x) == 8 return uN(x) def u32(x): assert len(x) == 4 return uN(x) def u16(x): assert len(x) == 2 return uN(x) def p64(x): s = bytearray() while x > 0: s.append(x & 0xff) x >>= 8 return s.ljust(8, b'\0') def flat(args): return b''.join(args) class File(io._RawIOBase): def readinto(self, buf): global view view = buf def readable(self): return True

- io = open.__self__：将io指向open()函数的self属性，用于后续调用File类的方法。 - uN(b)：将字节数组b转换成整数，其中i*8是为了计算每个字节所占的位数。 - u64(x)、u32(x)、u16(x)：...

import logging import os.path import sys from optparse import OptionParser from gensim.corpora import WikiCorpus def parse_corpus(infile, outfile): '''parse the corpus of the infile into the outfile''' space = ' ' i = 0 with open(outfile, 'w', encoding='utf-8') as fout: wiki = WikiCorpus(infile, lemmatize=False, dictionary={}) # gensim中的维基百科处理类WikiCorpus for text in wiki.get_texts(): fout.write(space.join(text) + '\n') i += 1 if i % 10000 == 0: logger.info('Saved ' + str(i) + ' articles') if name == 'main': program = os.path.basename(sys.argv[0]) logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') logger = logging.getLogger(program) # logging.getLogger(logger_name) logger.info('running ' + program + ': parse the chinese corpus') # parse the parameters parser = OptionParser() parser.add_option('-i', '--input', dest='infile', default='zhwiki-latest-pages-articles.xml.bz2', help='input: Wiki corpus') parser.add_option('-o', '--output', dest='outfile', default='corpus.zhwiki.txt', help='output: Wiki corpus') (options, args) = parser.parse_args() infile = options.infile outfile = options.outfile try: parse_corpus(infile, outfile) logger.info('Finished Saved ' + str(i) + 'articles') except Exception as err: logger.info(err) # python parse_zhwiki_corpus.py -i zhwiki-latest-pages-articles.xml.bz2 -o corpus.zhwiki.txt 优化代码

with open(outfile, 'w', encoding='utf-8') as fout: wiki = WikiCorpus(infile, lemmatize=False, dictionary={}) # gensim中的维基百科处理类WikiCorpus for text in wiki.get_texts(): fout.write(space....

TypeError Traceback (most recent call last) Cell In[1], line 5 2 from datetime import datetime, timedelta 4 # 读取原始数据 ----> 5 df = pd.read_excel('E:\GIS_data\LiangHu_data\lianghudiquqixiangshuju2010-2022.xlsx', encoding='utf-8') File E:\ProgramData\anaconda3\lib\site-packages\pandas\util\_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs) 209 else: 210 kwargs[new_arg_name] = new_arg_value --> 211 return func(*args, **kwargs) File E:\ProgramData\anaconda3\lib\site-packages\pandas\util\_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs) 325 if len(args) > num_allow_args: 326 warnings.warn( 327 msg.format(arguments=_format_argument_list(allow_args)), 328 FutureWarning, 329 stacklevel=find_stack_level(), 330 ) --> 331 return func(*args, **kwargs) TypeError: read_excel() got an unexpected keyword argument 'encoding'

TypeError是一种常见的错误类型，通常表示代码中某些对象或数据类型与执行的操作不匹配。例如，如果尝试对整数进行除以字符串的操作，就会产生TypeError。解决TypeError的方法通常是检查代码中可能发生数据类型不...

所以报错这样是正常的对吗from apscheduler.schedulers.blocking import BlockingScheduler from apscheduler.events import EVENT_JOB_EXECUTED, EVENT_JOB_ERROR import datetime import logging logging.basicConfig(level=logging.INFO, format='%(asctime)s %(filename)s[line:%(lineno)d] %(levelname)s %(message)s', datefmt='%Y-%m-%d %:H%M%S', filename='log1.txt', filemode='a') logging.FileHandler(encoding='utf-8', filename='log1.txt') def aps_test(x): print(datetime.datetime.now().strftime('%Y-%m-%d %:H%M%S'), x) def date_test(x): print(datetime.datetime.now().strftime('%Y-%m-%d %:H%M%S'), x) print(1/0) def my_listener(event): if event.exception: print('出错？？？？？？') else: print('正常///////////') scheduler = BlockingScheduler() scheduler.add_job(func=date_test, args=('一次性出错任务',), next_run_time=datetime.datetime.now()+datetime.timedelta(seconds=15), id='date_task') scheduler.add_job(func=aps_test, args=('循环任务',), trigger='interval', seconds=3, id='interval_task') scheduler.add_listener(my_listener, EVENT_JOB_EXECUTED | EVENT_JOB_ERROR) scheduler._logger=logging scheduler.start()

logging.FileHandler(encoding='utf-8', filename='log1.txt') def aps_test(x): print(datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S'), x) def date_test(x): print(datetime.datetime.now().strftime...

改进代码并找出错误。import argparse import re import csv import pandas as pd import numpy as np import matplotlib.pyplot as plt import random # Main Process Define parser = argparse.ArgumentParser(description='Process log files and generate graphs.') parser.add_argument('input', metavar='INPUT', type=str, nargs='+', help='input log file(s)') parser.add_argument('--output', dest='output', type=str, default='output.csv', help='output CSV file name') args = parser.parse_args() # READ LOG def read_log_file(input): lines = [] with open(args.input, 'r') as f: for line in input: lines.append(line.strip()) return lines

2. 在with open(args.input, 'r') as f:中，应该使用args.input而不是input。 3. read_log_file函数缺少一个缩进，应该缩进一次。 4. read_log_file函数中的return语句缩进错误，应该缩进到函数的外面...

if name=="main": headers = headers_steam() proxies = getProxyIp() with open('./items/lvemo1.txt', 'r', encoding="utf-8-sig") as f: lines = f.readlines() # 解析每一行账户信息并将其存储到一个列表中 # print(lines) items = {} for line in lines: # print(line) value,key = line.strip().split(' ') items[key] = int(value) item = items while (1): for key in item: market_hash_name = key goodsid = items[key] print('current_item-----------------------------',market_hash_name) url = get_steam_url(market_hash_name) # print(url) items_information = get_item_information_from_steam(headers,proxies,url) check_price_float(items_information,goodsid)将其改成多进程

with open('./items/lvemo1.txt', 'r', encoding="utf-8-sig") as f: lines = f.readlines() # 解析每一行账户信息并将其存储到一个列表中 items = {} for line in lines: process_item(line) # 创建进程池...

帮我解释一下错误：UnicodeDecodeError Traceback (most recent call last) Cell In[4], line 3 1 import pandas as pd 2 df1 = pd.read_csv('beijing_wangjing_125_sorted.csv') ----> 3 df2 = pd.read_csv('D:\Users\Downloads\07-机器学习入门\望京LINE.csv') 4 merged_df = pd.merge(df1, df2, left_on='id', right_on='ID') 5 merged_df.to_csv('merged.csv', index=False) File ~\anaconda3\lib\site-packages\pandas\util_decorators.py:211, in deprecate_kwarg.<locals>._deprecate_kwarg.<locals>.wrapper(*args, **kwargs) 209 else: 210 kwargs[new_arg_name] = new_arg_value --> 211 return func(*args, **kwargs) File ~\anaconda3\lib\site-packages\pandas\util_decorators.py:331, in deprecate_nonkeyword_arguments.<locals>.decorate.<locals>.wrapper(*args, **kwargs) 325 if len(args) > num_allow_args: 326 warnings.warn( 327 msg.format(arguments=_format_argument_list(allow_args)), 328 FutureWarning, 329 stacklevel=find_stack_level(), 330 ) --> 331 return func(*args, **kwargs) File ~\anaconda3\lib\site-packages\pandas\io\parsers\readers.py:950, in read_csv(filepath_or_buffer, sep, delimiter, header, names, index_col, usecols, squeeze, prefix, mangle_dupe_cols, dtype, engine, converters, true_values, false_values, skipinitialspace, skiprows, skipfooter, nrows, na_values, keep_default_na, na_filter, verbose, skip_blank_lines, parse_dates, infer_datetime_format, keep_date_col, date_parser, dayfirst, cache_dates, iterator, chunksize, compression, thousands, decimal, lineterminator, quotechar, quoting, doublequote, escapechar, comment, encoding, encoding_errors, dialect, error_bad_lines, warn_bad_lines, on_bad_lines, delim_whitespace, low_memory, memory_map, float_precision, storage_options) 935 kwds_defaults = _refine_defaults_read( 936 dialect, 937 delimiter, (...) 946 defaults={"delimiter": ","}, 947 ) 948 kwds.update(kwds_defaults) --> 950 return _read(filepath_or_buffer, kwds) File ~\anaconda3\lib\site-packages\

在 Pandas 中，read_csv 函数默认使用 UTF-8 编码读取 CSV 文件。如果文件使用其他编码（例如 GBK、GBK2312 等）保存，就需要在读取时指定正确的编码。你可以使用 encoding 参数来指定编码，例如： python ...

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