• 如何在Python中进行DNS查找，包括引用/ etc / hosts？（python dns查询）
• iphone – 如何在iOS上执行DNS查询
• Python-如何在Python中进行相对导入？
• [python省时间]处理文档，包括批量查找，替换，
• 准备数据如何在python中进行深度学习

如何在Python中进行DNS查找，包括引用/ etc / hosts？（python dns查询）

dnspython会很好地完成我的DNS查找，但它完全忽略的内容/etc/hosts。

是否有一个python库调用将做正确的事情？即首先检查etc/hosts，否则仅回退到DNS查找？

答案1

我真的不知道，如果你想要做的DNS查找 自己 或者如果你只是想要一台主机的IP地址。如果您想要后者，

import socketprint(socket.gethostbyname(''localhost'')) # result from hosts fileprint(socket.gethostbyname(''google.com'')) # your os sends out a dns query

iphone – 如何在iOS上执行DNS查询

Boolean result;
 CFHostRef hostRef;
 NSArray *addresses;
 Nsstring *hostname = @"apple.com";
 hostRef = CFHostCreateWithName(kcfAllocatorDefault,(CFStringRef)hostname);
 if (hostRef) {
      result = CFHostStartInfoResolution(hostRef,kcfHostAddresses,NULL); // pass an error instead of NULL here to find out why it Failed
      if (result == TRUE) {
           addresses = (NSArray*)CFHostGetAddressing(hostRef,&result);
      }
 }
 if (result == TRUE) {
      [addresses enumerateObjectsUsingBlock:^(id obj,NSUInteger idx,BOOL *stop) {
             Nsstring *strDNS = [Nsstring stringWithUTF8String:inet_ntoa(*((struct in_addr *)obj))];
           NSLog(@"Resolved %d->%@",idx,strDNS);
      }];

 } else {
      NSLog(@"Not resolved");
 }

if (result == TRUE) {
        NSMutableArray *tempDNS = [[NSMutableArray alloc] init];
        for(int i = 0; i < CFArrayGetCount(addresses); i++){
            struct sockaddr_in* remoteAddr;
            CFDataRef saData = (CFDataRef)CFArrayGetValueAtIndex(addresses,i);
            remoteAddr = (struct sockaddr_in*)CFDataGetBytePtr(saData);

            if(remoteAddr != NULL){
                // Extract the ip address
                //const char *strIP41 = inet_ntoa(remoteAddr->sin_addr);
                Nsstring *strDNS =[Nsstring stringWithCString:inet_ntoa(remoteAddr->sin_addr) encoding:NSASCIIStringEncoding];
                NSLog(@"RESOLVED %d:<%@>",i,strDNS);
                [tempDNS addobject:strDNS];
            }
        }
}

Python-如何在Python中进行相对导入？

app/
   __init__.py
   sub1/
      __init__.py
      mod1.py
   sub2/
      __init__.py
      mod2.py

[python省时间]处理文档，包括批量查找，替换，

1、批量查找替换

# -*- coding: utf-8 -*-
import os
import re
# path=os.getcwd()

str_old = ''insert''
str_new = ''frs.event.queue''
file_formate = ''init.sql''
file_sql=open(r''F:\bak\init_all.sql'', ''r+'', encoding=''utf-8'')
def replace_txt(path):
    if path.find(file_formate) == len(path) - len(file_formate):

        with open(path, ''r+'', encoding=''utf-8'') as file:
            str = file.read()
            if str.find(str_old) > 0:
                print(path)
                str = str.replace(str_old, str_new)
                print(str)
                file.seek(0, 0)
                file.write(str)
                # file.close()
# replace_txt(r''D:\python\workspace\tools\util\txt12\test.txt.py'')
def find_txt(path):
    with open(path, ''r+'', encoding=''utf-8'') as file:
        i=0
        while True:
            line = file.readline()
            i=i+1
            if not line:
                break
            else:
                try:
                    str_line = str(line)
                    # if path.find(str_old) > 0:
                    if str_line.find(str_old) >=0:

                        print(str_line)
                        break
                except:
                    print(str(line))

2、如果不知道文件是否utf-8

def find_txt_no_formate(path):
    if file_formate !='''':
        if path.find(file_formate) == len(path) - len(file_formate):
            print(path)
            with open(path, ''r+'', encoding=''utf-8'') as file:
                str = file.read()
                file_sql.write(''\n--------------------------------'')
                file_sql.write(path)
                file_sql.write(str)
            # find_txt(path)
    else:
        find_txt(path)

3、列出所有文件

def list_all_file(rootdir):
    files = []
    list = os.listdir(rootdir)
    for i in range(0, len(list)):
        path = os.path.join(rootdir, list[i])
        if os.path.isdir(path):
            files.extend(list_all_file(path))
        if os.path.isfile(path):
            files.append(path)
            try:
                find_txt_no_formate(path)
            except:
                print("e")
    return files

准备数据如何在python中进行深度学习

在每行上方添加注释以说明其目的：

#input is a 2D dataframe of images
def data_prep(raw):
    #convert the classes in raw to a binary matrix
    #also known as one hot encoding and is typically done in ML
    out_y = keras.utils.to_categorical(raw.label,num_classes)

    #first dimension of raw is the number of images; each row in the df represents an image
    num_images = raw.shape[0]

    #remove the first column in each row which is likely a header and convert the rest into an array of values
    #ML algorithms usually do not take in a pandas dataframe 
    x_as_array = raw.values[:,1:]

    #reshape the images into 3 dimensional
    #1st dim: number of images
    #2nd dim: height of each image (i.e. rows when represented as an array)
    #3rd dim: width of each image (i.e. columns when represented as an array)
    #4th dim: the number of pixels which is 3 (RGB) for colored images and 1 for gray-scale images
    x_shaped_array = x_as_array.reshape(num_images,img_rows,img_cols,1)

    #this normalizes (i.e. 0-1) the image pixels since they range from 1-255. 
    out_x = x_shaped_array / 255

    return out_x,out_y

要处理彩色图像，数组中的第4维应为3，代表RGB values。请查看此tutorial，以获取有关CNN及其输入的更多详细信息。

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