
Execute PIP # uninstall pyqt5 and PIP3 uninstall pyqt5, and then PIP3 install pyqt5. As a result, pyqt5 will report various errors.
Then I try PIP install pyqt5 again..


Execute PIP # uninstall pyqt5 and PIP3 uninstall pyqt5, and then PIP3 install pyqt5. As a result, pyqt5 will report various errors.
Then I try PIP install pyqt5 again..

Errors are reported as follows:

Solution:
sudo rm -f /var/run/yum.pid 13830
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Error in invoking target ‘agent nmhs’ of makefile when installing Oracle 11g in Linux 7

Solution
add parameters linking libnnz11 Library in makefile
Modify $Oracle_HOME/sysman/lib/ins_ emagent. MK, modify
$(mk_event_nmectl) to $(mk_event_nmectl) – lnnz11
it is recommended to back up the original file before modification
[ oracle@ysserver ~]$ cd $ORACLE_ HOME/sysman/lib
[ oracle@ysserver lib]$ cp ins_emagent.mk ins_emagent.mk.bak
[ oracle@ysserver lib]$ vi ins_emagent. mk

After entering the VI editor, enter/nmectl in the command mode to quickly locate the line to be modified
append parameters -lnnz11 þ the first is the letter L þ the last two are the numbers 1

Save and exit retry

The error report is shown in the figure:

Solution:
In package Execute the NPM run start command under the JSON folder


In the experiment of using gym environment to train the agent and save the video locally, an error was encountered when using monitor to save the video:
Unknown encoder 'libx264'
Considering that the video saved in gym is saved in ffmpeg, I reinstalled it, but still reported an error. Then yes
check the original codes ofwrappers.Monitor

Here we judge the selection method, so we can choose other encoders to save our video. We just need to install CONDA, uninstall ffmpeg, and then use other options
import pkgutil
import distutils.spawn
import imageio_ffmpeg
print(distutils.spawn.find_executable("avconv"))
print(distutils.spawn.find_executable("ffmpeg"))
print(pkgutil.find_loader("imageio_ffmpeg"))
print(imageio_ffmpeg.get_ffmpeg_exe())

In my case, after I uninstall ffmpeg in CONDA, what gym calls becomes ffmpeg installed in Ubuntu, and then it can run.
org.springframework.beans.factory.BeanCreationException: Error creating bean with name 'org.springframework.cloud.netflix.eureka.EurekaDiscoveryClientConfiguration$EurekaHealthCheckHandlerConfiguration': Instantiation of bean failed; nested exception is org.springframework.beans.BeanInstantiationException: Failed to instantiate [org.springframework.cloud.netflix.eureka.EurekaDiscoveryClientConfiguration$EurekaHealthCheckHandlerConfiguration]: Constructor threw exception; nested exception is java.lang.NoClassDefFoundError: org/springframework/boot/actuate/health/SimpleStatusAggregator at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:1334) ~[spring-beans-5.3.13.jar:5.3.13] ...... at org.springframework.beans.factory.support.AbstractAutowireCapableBeanFactory.instantiateBean(AbstractAutowireCapableBeanFactory.java:1326) ~[spring-beans-5.3.13.jar:5.3.13] ... 17 common frames omitted Caused by: java.lang.NoClassDefFoundError: org/springframework/boot/actuate/health/SimpleStatusAggregator at org.springframework.cloud.netflix.eureka.EurekaDiscoveryClientConfiguration$EurekaHealthCheckHandlerConfiguration.<init>(EurekaDiscoveryClientConfiguration.java:64) ~[spring-cloud-netflix-eureka-client-3.1.0.jar:3.1.0] at sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) ~[na:1.8.0_251] at sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) ~[na:1.8.0_251] at sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) ~[na:1.8.0_251] at java.lang.reflect.Constructor.newInstance(Constructor.java:423) ~[na:1.8.0_251] at org.springframework.beans.BeanUtils.instantiateClass(BeanUtils.java:211) ~[spring-beans-5.3.13.jar:5.3.13] ... 19 common frames omitted Caused by: java.lang.ClassNotFoundException: org.springframework.boot.actuate.health.SimpleStatusAggregator at java.net.URLClassLoader.findClass(URLClassLoader.java:382) ~[na:1.8.0_251] at java.lang.ClassLoader.loadClass(ClassLoader.java:418) ~[na:1.8.0_251] at sun.misc.Launcher$AppClassLoader.loadClass(Launcher.java:355) ~[na:1.8.0_251] at java.lang.ClassLoader.loadClass(ClassLoader.java:351) ~[na:1.8.0_251] ... 25 common frames omitted
Error Analysis:
Add eureka.client.healthcheck.enabled=true in application.properties files
1. add dependency in pom.xml
<dependency> <groupId>org.springframework.boot</groupId> <artifactId>spring-boot-starter-actuator</artifactId> </dependency>
2. file->invalidate caches/restart
Its tip is to avoid redundant navigation to the current location. Simply put, the same route is triggered repeatedly.
The solution is as follows:
in the router folder, click index Add these lines of code to the JS file:
const originalPush = Router.prototype.push
//Error Messages: NavigationDuplicated: Avoided redundant navigation to current location
Router.prototype.push = function push(location) {
return originalPush.call(this, location).catch(err => err)
}
The detailed location is as follows:

However, he uses vuerouter instead of router. I don’t know if it’s the Vue router version.
Error reason: the Tomcat server was selected incorrectly when configuring the Tomcat server. The Tomcat server should be selected

redis-cli -p 12345 [root@localhost ~]# redis-cli -p 6379 127.0.0.1:6379> auth "123456" OK 127.0.0.1:6379> info # Server redis_version:3.2.12 redis_git_sha1:00000000 redis_git_dirty:0 redis_build_id:7897e7d0e13773f redis_mode:standalone os:Linux 3.10.0-1127.19.1.el7.x86_64 x86_64 arch_bits:64 multiplexing_api:epoll gcc_version:4.8.5 process_id:1242 run_id:XXX tcp_port:6379 uptime_in_seconds:1186639 uptime_in_days:13 hz:10 lru_clock:11977524 executable:/usr/bin/redis-server config_file:/etc/redis.conf # Clients connected_clients:1 client_longest_output_list:0 client_biggest_input_buf:0 blocked_clients:0 # Memory used_memory:3486652368 used_memory_human:3.25G used_memory_rss:3548164096 used_memory_rss_human:3.30G used_memory_peak:3486886808 used_memory_peak_human:3.25G total_system_memory:16637546496 total_system_memory_human:15.49G used_memory_lua:37888 used_memory_lua_human:37.00K maxmemory:0 maxmemory_human:0B maxmemory_policy:noeviction mem_fragmentation_ratio:1.02 mem_allocator:jemalloc-3.6.0 # Persistence loading:0 rdb_changes_since_last_save:8 rdb_bgsave_in_progress:0 rdb_last_save_time:1639367433 rdb_last_bgsave_status:ok rdb_last_bgsave_time_sec:20 rdb_current_bgsave_time_sec:-1 aof_enabled:0 aof_rewrite_in_progress:0 aof_rewrite_scheduled:0 aof_last_rewrite_time_sec:-1 aof_current_rewrite_time_sec:-1 aof_last_bgrewrite_status:ok aof_last_write_status:ok # Stats total_connections_received:3831251 total_commands_processed:18072447 instantaneous_ops_per_sec:15 total_net_input_bytes:1538227697 total_net_output_bytes:907587826299 instantaneous_input_kbps:0.61 instantaneous_output_kbps:3.07 rejected_connections:0 sync_full:0 sync_partial_ok:0 sync_partial_err:0 expired_keys:0 evicted_keys:0 keyspace_hits:7332354 keyspace_misses:6533 pubsub_channels:0 pubsub_patterns:0 latest_fork_usec:2025 migrate_cached_sockets:0 # Replication role:master connected_slaves:0 master_repl_offset:0 repl_backlog_active:0 repl_backlog_size:1048576 repl_backlog_first_byte_offset:0 repl_backlog_histlen:0 # CPU used_cpu_sys:1586.86 used_cpu_user:625.00 used_cpu_sys_children:3198.40 used_cpu_user_children:46091.06 # Cluster cluster_enabled:0 # Keyspace db0:keys=936,expires=0,avg_ttl=0
redis maxmemory:0 There is no limit to the amount of memory that can be used.
linux
[root@localhost redis]# sysctl -a|grep overcommit_memory
vm.overcommit_memory = 0
vm.overcommit_memory = 0 Heuristic The size of the virtual memory allocated for this request and the current free physical memory on the system plus swap determine whether to release it. When the system allocates virtual address space for the application process, it determines whether the size of the currently requested virtual address space exceeds the remaining memory size, and if it does, the virtual address space allocation fails.
When redis saves in-memory data to disk, in order to prevent the main process from falsely dying, it forks a child process to complete this save operation. However, the forked subprocess will need to allocate the same amount of memory as the main process, which is equivalent to double the amount of memory needed, and if there is not enough memory available to allocate the required memory, the forked subprocess will fail to save the data to disk.
/etc/redis.conf
[root@localhost etc]# more redis.conf |grep “stop-writes-on-bgsave-error”
stop-writes-on-bgsave-error yes
stop-writes-on-bgsave-error: Whether to continue processing Redis write commands when generating RDB files with errors, the default yes Redis does not allow users to perform any update operations
Reasons.
1 The memory of redis itself is not limited. maxmemory:0.
2 redis forks the same memory as the main process when it forks the process to save data, which is memory double.
3 linux server vm.overcommit_memory = 0, which does not allow excessive memory overcommits.
4 redis configuration file default stop-writes-on-bgsave-error, which does not allow users to exceed when writes fail.
Optimization suggestions.
Modify vm.overcommit_memory = 0 vm.overcommit_memory = 1
Today, when the front-end uses Vue to transfer files with formdata, the background node reports an error
Multipart: Boundary not found multer
It is found in the front console that the file file transmitted by the interface is null {}, because it is set when Axios requests
the Header of Content-Type is multipart/form-data
It is found that there is no boundary parameter later, except multipart/form data
multipart/form-data;boundary :****************
There should also be a series of boundary parameters. First of all, do not splice the contents behind the boundary, otherwise you need to reconfigure all the content parameters yourself.
later, it is found that it is the reason for the request method, and you need to use ajax to make the request.
the solution is as follows
// upload the files
export function reqUploadImg(file, user_id) {
return axios({
url: '/uploadImg',
method: 'POST',
Headers: {
"content-type": "multipart/form-data",
},
data: file,
params: { user_id }
})
}
This problem can be solved. It will automatically splice a string later, or “content type”: “multipart/form-data” in “multipart/form-data” will also be spliced automatically if it is set to fasle, but after personal experiments, it is found that the types have changed into JSON format, which is automatically generated by Axios source code
Use node xlsx to write the assembled data into excel and always report errors. The error information is as follows:
(node:6357) UnhandledPromiseRejectionWarning: TypeError: n.indexOf is not a function
at /Users/mac/project/reptile/invoice/node_modules/xlsx/xlsx.js:15693:8
at Array.forEach (<anonymous>)
at check_ws_name (/Users/mac/project/reptile/invoice/node_modules/xlsx/xlsx.js:15692:11)
at /Users/mac/project/reptile/invoice/node_modules/xlsx/xlsx.js:15701:3
at Array.forEach (<anonymous>)
at check_wb_names (/Users/mac/project/reptile/invoice/node_modules/xlsx/xlsx.js:15700:4)
at check_wb (/Users/mac/project/reptile/invoice/node_modules/xlsx/xlsx.js:15713:2)
at Object.writeSync [as write] (/Users/mac/project/reptile/invoice/node_modules/xlsx/xlsx.js:21998:2)
at Object.build (/Users/mac/project/reptile/invoice/node_modules/node-xlsx/lib/index.js:77:33)
at writeXlsx (/Users/mac/project/reptile/invoice/index.js:269:21)
(Use `node --trace-warnings ...` to show where the warning was created)
(node:6357) UnhandledPromiseRejectionWarning: Unhandled promise rejection. This error originated either by throwing inside of an async function without a catch block, or by rejecting a promise which was not handled with .catch(). To terminate the node process on unhandled promise rejection, use the CLI flag `--unhandled-rejections=strict` (see https://nodejs.org/api/cli.html#cli_unhandled_rejections_mode). (rejection id: 2)
(node:6357) [DEP0018] DeprecationWarning: Unhandled promise rejections are deprecated. In the future, promise rejections that are not handled will terminate the Node.js process with a non-zero exit code.
There is no useful information in the prompt. You can only use node xlsx to read the normal excel table into JSON, and then compare the normal Josn with the JSON assembled by yourself however, the goose did not find any difference
after careful comparison, the problem is finally found. The reason is that the table name of each table in Excel can only be the string,
let obj = {
name: more.tatalAmount, // The name obtained here is Number, which must be converted to String with toString()
data: [
[
"111111111"
],
The error message is similar to:
UnicodeDecodeError: ‘gbk’ codec can’t decode byte 0xac in position 44: illegal multibyte sequence
Solution:
find the python installation directory or directly search the subprocess Py, find the installation place. Python 38-32\lib\ has a file subprocess Py, encoding = none is changed to encoding = ‘UTF-8’.