w1 | Linux kernel w1 netlink client
kandi X-RAY | w1 Summary
kandi X-RAY | w1 Summary
Linux kernel w1 netlink client. Linux kernel w1 netlink documentation: w1 over netlink can be used to work with w1 hardware (both master and slave devices) from userspace with noticebly lower latencies than via sysfs files. This source be used as an example on how to bind to netlink connector socket, how to create messages and parse replies. Protocol supports both master and slave commands. Master supports device listing, slave search, bus reset and generic w1 read/write/touch operations. You can also manually add/remove slave device ID. Slave commands are device specific. To build the binary you have to edit Makefile and specify include path to w1 kernel drivers, in particular you need path to directory where w1_netlink.h file is located.
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QUESTION
I have a dataset that looks like this:
...ANSWER
Answered 2022-Apr-08 at 10:44If each group starting by N/A
values test missing values with Series.notna
and create counter by GroupBy.cumsum
:
QUESTION
With QUERY_TIMEOUT parameter set to 1 hr, SP execution is getting cancelled automatically if it is running beyond 1 hr. This happens only when it is being called through a task or through another SP. When being called separately in the worksheet or snowsql CLI it is running fine beyond 1 hr and getting completed.
I have a task T1 running a wrapper procedure W1 which calls an actual procedure SP1. Both W1 and SP1 are getting failed with error something like execution cancelled due to runtime crossed timeout limit.
But directly running it in worksheet, call SP1() is not failing at all but getting completed even after 2 hrs of runtime.
Any idea why it is happening? Is the timeout parameter affect all queries, because it doesn't seem so?
...ANSWER
Answered 2022-Mar-20 at 17:00Confirm TIMEOUT parameters. Start with Tasks
QUESTION
I have a dask architecture implemented with five docker containers: a client, a scheduler, and three workers. I also have a large dask dataframe stored in parquet format in a docker volume. The dataframe was created with 3 partitions, so there are 3 files (one file per partition).
I need to run a function on the dataframe with map_partitions
, where each worker will take one partition to process.
My attempt:
...ANSWER
Answered 2022-Mar-11 at 13:27The python
snippet does not appear to use the dask
API efficiently. It might be that your actual function is a bit more complex, so map_partitions
cannot be avoided, but let's take a look at the simple case first:
QUESTION
I am sending a command to a power supply device over TCP Ethernet using netcat
(nc
) on Linux Ubuntu 18.04 and 20.04. If I use echo
the device fails to properly receive the command, but if I use printf
it works fine. Why?
ANSWER
Answered 2021-Nov-17 at 18:46Ugh! Found it.
Ensure you're not accidentally sending a newline char (\n
) at the end of the command
It looks like echo
adds a trailing newline to the string, whereas printf
does NOT, and this trailing newline character is interfering with the device's ability to parse the command. If I forcefully add it (a newline char, \n
) to the end of the printf
cmd, then it fails too--meaning the device will not respond to the command as expected:
QUESTION
So, I have the following dataframe
...ANSWER
Answered 2022-Mar-08 at 12:06IIUC, you could do:
QUESTION
I have two structures in c++
...ANSWER
Answered 2022-Feb-06 at 12:37https://en.cppreference.com/w/cpp/named_req/StandardLayoutType
A standard layout type requires all data members be in the same type.
Standard layout is conservative in definition. Additional types could be made standard layout. The fact that a type is not standard layout doesn't mean there is a good reason that it isn't. It just means the standard committee and compilers haven't done the work to justify it. I mean, you could make classes with virtual functions standard layout if the committee really wanted (like, standardize how vtables work).
One concern is that the committee doesn't want to needlessly break existing code. So they try to standardize existing practice unless there is a good reason. If two compilers disagree on layout of a class, that makes standardizing their layout more costly and/or generate less benefits.
Standard layout is technically just a flag; semantically it means different compilers with similar options (like packing) are going to compile compatible data layouts.
QUESTION
I'm solving this LeetCode problem and here's my code:
...ANSWER
Answered 2022-Feb-02 at 08:20The main Problem is when dfs method is called it uses this line
QUESTION
I have a Dataframe with value predictions.
The first column is for the exact value and each new column is a week in the future. For each week a new row is added. As a result, I have the following example table:
...ANSWER
Answered 2022-Jan-28 at 09:21This is a variation on melt
:
QUESTION
I have created a graph object, but I would like to choose the layout myself. The layout I have in mind is such that first nodes F
s is placed at furthest left, then DC
s and then CC
and in the end W
s in the furthest right. We can also put DC
s and CC
beside each other.
You can produce the graph by the following code:
ANSWER
Answered 2022-Jan-26 at 21:10If you want to customize your layered plot, we can try
QUESTION
I have two python dictionaries, say,
...ANSWER
Answered 2022-Jan-10 at 22:11If you meant to merge values with the same key into a collection, you could
- create a new dict
- use
itertools
to iterate over any number of dicts - some default value you can pack into (such as a list or set)
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