xbt | crash utility which displays a symbolic backtrace
kandi X-RAY | xbt Summary
kandi X-RAY | xbt Summary
xbt is an extension to the crash utility which displays a symbolic backtrace. it supports x86_64 kdump images. for information about the crash utility see $ make $ export xbt_module_path="$home/fs/lustre-release:/usr/lib/debug/lib/modules/$(uname -r)" $ crash /usr/lib/debug/lib/modules/…/vmlinux /var/crash/…/vmcore crash> extend xbt.so crash> xbt #0 mod none, name schedule, rip 0xffffffff814eb4d2 frame start 0xffff8801361cf770, end 0xffff8801361cf788, *base 0xffff8801361cf8e0. #1 mod none, name crash_save_cpu, rip 0xffffffff810b8995 frame start 0xffff8801361cf788, end 0xffff8801361cf928, *base 0xffff8801960de400. #2 mod none, name machine_kexec, rip 0xffffffff81031f7b frame start 0xffff8801361cf928, end 0xffff8801361cf988, *base 0xffff8801361cfa50. #3 mod none, name crash_kexec, rip 0xffffffff810b8c22 frame start 0xffff8801361cf988, end 0xffff8801361cfa58, *base 0xffff8801361cfad0 xbt_rbx = 0 xbt_r12 = ffff8801361cf990 xbt_r13 = ffff8801361d0870 xbt_r14 = 0. #4 mod none, name panic, rip 0xffffffff814eae18 frame start 0xffff8801361cfa58, end 0xffff8801361cfad8, *base 0xffff8801361cfaf0. #5 mod libcfs, name lbug_with_loc, rip 0xffffffffa02d0eeb frame start 0xffff8801361cfad8, end 0xffff8801361cfaf8, *base 0xffff8801361cfb40 xbt_rbx = ffffffffa0bfe1c0 msgdata = ffffffffa0bfe1c0. #6 mod lod, name lod_attr_set, rip 0xffffffffa0be956a frame start 0xffff8801361cfaf8, end 0xffff8801361cfb48, *base 0xffff8801361cfb90 xbt_rbx = ffff880122c65680. #7 mod mdd, name mdd_attr_set_internal, rip 0xffffffffa097a411 frame start 0xffff8801361cfb48, end 0xffff8801361cfb98, *base 0xffff8801361cfc10 xbt_rbx = ffff88011fbfd7f0 xbt_r12 = 10 xbt_r13 = ffff880136197c80 xbt_r14 = ffff8801361d0870 xbt_r15 = 1 env = ffff880136197c80 obj =
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QUESTION
So I Have a set of dicts (this is a sample) see the code below for the full set
...ANSWER
Answered 2021-May-25 at 19:42QUESTION
I get data from an API in this form:
...ANSWER
Answered 2021-May-23 at 20:33For a more generic approach, you could create a custom JsonConverter
that uses custom attributes to identify which types should be converted from a JSON array and which order the properties should be converted in.
First, let's define the attributes we'll use:
QUESTION
Im having problems properly adding JSON to a Pandas dataframe Im receiving from a websocket stream. In my code Ive tried a few different ways to append the data to dataframe but it ends up all messed up. Looking at the data I see 321 before each of the lines that I want the data from. I dont know how to access that data I thought something like mv = check['321']
would access it but it did not. The result variable is what the stream is assigned to so Im just trying to figure out how to get that in the dataframe.
code:
ANSWER
Answered 2021-Feb-08 at 16:58Cleaning your code up
- remove exception handling that masks what is going on
- it then became clear that
ws.recv()
sometimes returns adict
and sometimes alist
- contract a
dict
from the list - not sure what is contained in 2D
list
in position 1, so called it measure pd.concat()
is used to build up a dataframe
QUESTION
The code I have below takes a JSON response and extracts some data that we need from it. The response is odd, sometimes its a dict sometimes its a list. My code accounts for that. I really only need the list response. The problem is sometimes the list response is a list of lists. In the csv image below row 4 is an example of this. My code goes into the third column(C) and takes the first list of data and adds its to a dataframe. Their are six values and they get their own column and then it moves to the next row. Row 2 is a example of this. it has in column c one list. The problem is when i come to a row like row 4. Row 4 has multiple lists in column C. The image shows at least two but it can be any number. I need to take any dataset found in Column C and give it its own row in the new dataframe. so the data from column c in row 2 would get one row of 6 columns in the dataframe, the data from row 4 would get at least 3 rows since it shows at least 3 datsets. Row 5 and six would also return 3 rows each to the dataframe and then 7 would only return 1.
...ANSWER
Answered 2021-Feb-09 at 02:51You can iterate over the elements of the JSON list in a dictionary comprehension.
QUESTION
ANSWER
Answered 2021-Jan-17 at 14:56QUESTION
I am trying to use websockets to connect to Kraken websocket API. I create a new instance and setup listeners on intitial render. I am trying to make buttons to subscribe and close but the buttons are not working.
I am using this websocket library.
...ANSWER
Answered 2021-Jan-04 at 19:29Right now, you're creating a new socket every time the component re-renders. The effect callback references the first socket created (on mount), but the wsClose
and wsSub
do not (they reference the socket created in the immediately previous render).
Put the socket into a state or a ref:
QUESTION
I have an object that looks like this
I would like to return an array of wsnames based on altnames. For example, I provide an array ["AAVEETH", "AAVEXBT"]
and get back ["AAVE/ETH", "AAVE/XBT"]
.
I figured out how to use lodash
__.filter
like this
ANSWER
Answered 2021-Jan-03 at 18:12First turn the values of the object into an array of values with Object.values()
. Now you can use array methods like filter
to filter out the unwanted values and map
to create a new array with only the wsname
properties.
QUESTION
I tried to do a neural network that operates on MNIST data set. I was mostly following the pytorch.nn tutorial. As a result, i got a model that learns, but there's something wrong with the process or with the model itself. Instead of one active neuron at the output, i recieve multiple ones.
Here's the model itself:
...ANSWER
Answered 2020-Dec-14 at 10:59This is absolutely normal :
Your output should be of shape [bacth_size, 10]
since at each iteration you feed it a batch of batch_size
images and the output layer has 10
neurons.
The way to interpret this is as follows :
- Each line of the output tensor is the prediction for one of your input images in the batch.
- For one line, if you just want to classify, your guess will be the argmax of the line. For instance if
output[0] = [ 0. , 0. , 0. , 2.1, 3.0, 0., 4., 28.436266 0., 5.001435 ]
, then it means your network has predicted that the image belonged to the class n°7 (28.436266 is the max, at index 7).
Now, you can also interpret the result using some kind of probability. For this, you will need to apply a softmax
layer to your output. The value output[i][j]
will then be interpretable as a probability of the image i
belonging to the class j
.
QUESTION
I have a simple object to deserialize, but I do not understand the error I get.
The code is the following:
...ANSWER
Answered 2020-Jun-13 at 16:34You have a few problems here.
Firstly, the JSON syntax you are using for an option
field does not match Json.NET's syntax. If we simplify your type as follows:
QUESTION
I couldn't find the equivalent C++ calls in Libtorch (Pytorch C++ Frontend) for my Python Pytorch code.
The documentation according to my searchs (Pytorch Discuss) does not exist yet for my code. I wonder if someone can guide me with the following pieces (bellow).
I cutted pieces where I've been having more crashes (wrong usage) of Libtorch C++.
...ANSWER
Answered 2020-Feb-05 at 12:20I learned to better use the Pytorch Discuss forum for Pytorch and Libtorch information. Using the tag C++ for example.
Unfortunantly, there is the oficial source of information (altough quite messy). This is the reason why I am sharing my answer here in SO.
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