Problem Description:
The error is as follows: error c3861: ‘printf’: identifier not found. 
resolvent
The prompt indicates that the identifier “printf” cannot be found. I guess this may be caused by the compiler’s failure to include the header file stdio. H. then I wrote a new line #include & lt; stdio.h>, After that, the program will not report an error.
In this case, the 5555 port number of the device is not disconnected. Some mobile phones will be closed by default after disconnecting.
Solution:
First connect the computer with a data cable, and then enter the following command
adb tcpip 5555General prompt: restarting in TCP mode port: 5555
Then execute the connection command of ADB.
Method 1: it may be due to heap memory problems
In setting — & gt; Build,Execution,Deployment–> Build process heap size (Mbytes) found in compiler: 700 changed to 1024 (as appropriate)
Method 2: it may be due to project coding
PS: I can compile it by changing it to GBK. The system default GBK format is invalid and needs to be manually changed to GBK
When downloading the dataset on the pytorch official website, an error is reported in sslcertverificationerror: [SSL: certificate_verify_failed]. The following is my solution.
Error reason: when opening HTTPS link with urllib, SSL certificate will be checked once. When the target website uses a self signed certificate, it will throw the error of urlib2.urlerror.
Solution: cancel certificate validation globally
Import SSL
SSL_ create_ default_ https_ context = ssl._ create_ unverified_ context
Reference article link: https://blog.csdn.net/yixieling4397/article/details/79861379
An error is reported when the Flink SQL client submits the job:
2021-10-21 15:23:54,232 INFO org.apache.flink.yarn.YarnClusterDescriptor [] - No path for the flink jar passed. Using the location of class org.apache.flink.yarn.YarnClusterDescriptor to locate the jar
2021-10-21 15:23:54,233 WARN org.apache.flink.yarn.YarnClusterDescriptor [] - Neither the HADOOP_CONF_DIR nor the YARN_CONF_DIR environment variable is set.The Flink YARN Client needs one of these to be set to properly load the Hadoop configuration for accessing YARN.
2021-10-21 15:23:54,291 INFO org.apache.hadoop.yarn.client.ConfiguredRMFailoverProxyProvider [] - Failing over to rm2
2021-10-21 15:23:54,337 INFO org.apache.flink.yarn.YarnClusterDescriptor [] - Found Web Interface n101:36989 of application 'application_1634635118307_0001'.
[ERROR] Could not execute SQL statement. Reason:
org.apache.flink.runtime.client.JobSubmissionException: Failed to submit JobGraph.Failing over to rm2
Only active namenode can be submitted successfully. My active namenode is RM2
Today, after I used message queue, mailbox, ADC and multiple serial port threads at the same time, the system produced a series of errors.
The error contents are as follows:
After continuous attempts, I found a solution, which is recorded here.
Reduce the thread stack size of main thread and fishsh shell thread to 1024 (the value is for reference only).
Integrated development environment: RT thread studio
MCU：STM32G030C8
Problem:
in the problem of handling Anaconda’s Navigator
involves upgrading the navigator
command: CONDA update Anaconda navigator
solution:
Add Anaconda Python free warehouse:
conda config –add channels https://mirrors.tuna.tsinghua.edu.cn/anaconda/pkgs/free/
conda config –set show_ channel_ URLs yes
then upgrade again. (the first one already exists and will be prompted.)
Question
Performing GitHub related operations in pycharm will display errors
Failed to connect to github.com port 443: Timed out
solve
It is found in the browser that the agent must be opened to access GitHub, so it is possible that pycharm does not set the agent.
select the automatic agent mode in the setting.
mongo Failed to instantiate *** constructor NO_ CONSTRUCTOR with arguments
An error with status = 500 occurs during findall query. The error information is as follows:
solution: add the default nonparametric construction method to the entity class (the parameters written before are all with parameters)
Question content:
{
"error": {
"root_cause": [
{
"type": "mapper_parsing_exception",
"reason": "Root mapping definition has unsupported parameters: [article : {properties={id={index=not_analyzed, store=true, type=long}, title={analyzer=standard, index=analyzed, store=true, type=text}, content={analyzer=standard, index=analyzed, store=true, type=text}}}]"
}
],
"type": "mapper_parsing_exception",
"reason": "Failed to parse mapping [_doc]: Root mapping definition has unsupported parameters: [article : {properties={id={index=not_analyzed, store=true, type=long}, title={analyzer=standard, index=analyzed, store=true, type=text}, content={analyzer=standard, index=analyzed, store=true, type=text}}}]",
"caused_by": {
"type": "mapper_parsing_exception",
"reason": "Root mapping definition has unsupported parameters: [article : {properties={id={index=not_analyzed, store=true, type=long}, title={analyzer=standard, index=analyzed, store=true, type=text}, content={analyzer=standard, index=analyzed, store=true, type=text}}}]"
}
},
"status": 400
}
Wrong configuration
{
"mappings": {
"article": {
"properties": {
"id": {
"type": "long",
"store": true,
"index":"not_analyzed"
},
"title": {
"type": "text",
"store": true,
"index":"analyzed",
"analyzer":"standard"
},
"content": {
"type": "text",
"store": true,
"index":"analyzed",
"analyzer":"standard"
}
}
}
}
}
Modify configuration
{
"mappings": {
"properties": {
"id": {
"type": "long",
"store": true
},
"title": {
"type": "text",
"store": true,
"analyzer":"standard"
},
"content": {
"type": "text",
"store": true,
"analyzer":"standard"
}
}
}
}
Cause of problem: ES7 adjustment for configuration
For example, in the pytorch project, it is encountered in autoinit.py
pycuda._ driver.Error:cuInit failed:unknown error
Solution: install NVIDIA modprobe package:
sudo apt-get install nvidia-modprobeWhen NPM runs build, an error is reported: fatal error: ineffective mark compacts near heap limit allocation failed. Most of the answers are found on the Internet:
NPM install – G increase memory limit
enter the project directory and execute:
increase memory limit
this configuration is invalid. Then he said he wanted to put node_ Remove the double quotation marks in “XXX” under the modules folder (XXX forgot something). It’s also invalid
the last feasible solution:
open the CMD window and enter the command: setx node_ OPTIONS –max_ old_ space_ size=10240。 Then close the command window and rerun NPM run build. success!!!