HWP | Helical wheel projection with variability vector | Animation library
kandi X-RAY | HWP Summary
kandi X-RAY | HWP Summary
Helical wheel projection with variability vector
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Top functions reviewed by kandi - BETA
- Creates the plot
- Calculate the variance of each protein in sequence .
- Initialize the point .
- Print the sequence .
- Calculate the x y coordinates .
- Calculate the angular radius .
- String representation .
- Prints the object s representation .
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Community Discussions
Trending Discussions on HWP
QUESTION
I've started working with Puppeteer and for some reason I cannot get it to work on my box. This error seems to be a common problem (SO1, SO2) but all of the solutions do not solve this error for me. I have tested it with a clean node package (see reproduction) and I have taken the example from the official Puppeteer 'Getting started' webpage.
How can I resolve this error?
Versions and hardware ...ANSWER
Answered 2021-Nov-24 at 18:42There's too much for me to put this in a comment, so I will summarize here. Maybe it will help you, or someone else. I should also mention this is for RHEL EC2 instances behind a corporate proxy (not Arch Linux), but I still feel like it may help. I had to do the following to get puppeteer working. This is straight from my docs, but I had to hand-jam the contents because my docs are on an intranet.
I had to install all of these libraries manually. I also don't know what the Arch Linux equivalents are. Some are duplicates from your question, but I don't think they all are:
pango
libXcomposite
libXcursor
libXdamage
libXext
libXi
libXtst
cups-libs
libXScrnSaver
libXrandr
GConf2
alsa-lib
atk
gtk3
ipa-gothic-fonts
xorg-x11-fonts-100dpi
xorg-x11-fonts-75dpi
xorg-x11-utils
xorg-x11-fonts-cyrillic
xorg-x11-fonts-Type1
xorg-x11-fonts-misc
liberation-mono-fonts
liberation-narrow-fonts
liberation-narrow-fonts
liberation-sans-fonts
liberation-serif-fonts
glib2
If Arch Linux uses SELinux, you may also have to run this:
setsebool -P unconfirmed_chrome_sandbox_transition 0
It is also worth adding dumpio: true
to your options to debug. Should give you a more detailed output from puppeteer, instead of the generic error. As I mentioned in my comment. I have this option ignoreDefaultArgs: ['--disable-extensions']
. I can't tell you why because I don't remember. I think it is related to this issue, but also could be related to my corporate proxy.
QUESTION
The code I work on has a substantial amount of floating point arithmetic in it. We have test cases that record the output for given inputs and verify that we don't change the results too much. I had it suggested that I enable -march native to improve performance. However, with that enabled we get test failures because the results have changed. Do the instructions that will be used because of access to more modern hardware enabled by -march native reduce the amount of floating point error? Increase the amount of floating point error? Or a bit of both? Fused multiply add should reduce the amount of floating point error but is that typical of instructions added over time? Or have some instructions been added that while more efficient are less accurate?
The platform I am targeting is x86_64 Linux. The processor information according to /proc/cpuinfo
is:
ANSWER
Answered 2021-Nov-15 at 09:40-march native
means -march $MY_HARDWARE
. We have no idea what hardware you have. For you, that would be -march=skylake-avx512
(SkyLake SP) The results could be reproduced by specifying your hardware architecture explicitly.
It's quite possible that the errors will decrease with more modern instructions, specifically Fused-Multiply-and-Add (FMA). This is the operation a*b+c, but rounded once instead of twice. That saves one rounding error.
QUESTION
ANSWER
Answered 2021-Jun-24 at 16:31I don't have an answer yet but here's his code running if anyone wants to try it. It seems like the code is filtering correctly based on the filter logic.
It includes items that start before the defined start date and end date after the defined end date. (outside)
It includes items that start and end are between the defined start and defined end date (inside)
It includes items that start after the defined start date but before the defined end date. (start within)
QUESTION
Hello I'm trying to filter out data that's not between 2 given dates
I currently have this promise
...ANSWER
Answered 2021-Jun-23 at 05:15The original data source needed a little cleanup and I am not sure if "Start Date " (with the space at the end) was a typo. I treated it as such. The way this filter is set up is to exclude items that are in range. Cheers
QUESTION
I'm writing a C++ program that shall solve PDEs and algebraic equations on networks. The Eigen library shoulders the biggest part of the work by solving many sparse linear systems with LU decomposition.
As performance is always nice I played around with options for that. I'm using
...ANSWER
Answered 2021-Mar-04 at 21:58There are plenty of reasons why a code can be slower with -march=native
, although this is quite exceptional.
That being said, in your specific context, one possible scenario is the use of slower SIMD instructions, or more precisely different SIMD instructions finally making the program slower. Indeed, GCC vectorize loops with -O3
using the SSE instruction set on x86 processors such as yours (for backward compatibility). With -march=native
, GCC will likely vectorize loops using the more advanced and more recent AVX instruction set (supported by your processor but not on many old x86 processors). While the use of AVX instruction should speed your program up, it is not always the case in few pathological cases (less efficient code generated by compiler heuristics, loops are too small to leverage AVX instructions, missing/slower AVX instructions available in SSE, alignment, transition penality, energy/frequency impact, etc.).
My guess is your program is memory bound and thus AVX instructions do not make your program faster.
You can confirm this hypothesis by enabling AVX manually using -mavx -mavx2
rather than -march=native
and look if your performance issue is still there. I advise you to carefully benchmark your application using a tool like perf
.
QUESTION
I am new to DPDK, currently testing IP reassemble API and I am having difficulties. Below is the C++ code which I wrote to test the IP reassemble. I took the reference from the examples list provided from dpdk itself. dpdk version which I am using is 20.08 in debian machine. dpdk user guide mentions the API works on src add, dst add and packet ID, even though all three data are proper still the API returns NULL. Any kind of help will be much appreciated. Thanks in advance.
...ANSWER
Answered 2020-Oct-22 at 09:27DPDK API rte_ipv4_frag_reassemble_packet
returns NULL in 2 ocassion
- an error occurred
- not all fragments of the packet are collected yet
Based on the code and logs shared it looks like you are
- sending the last fragment multiple times.
- setting time out as
cur_tsc
Note:
- the easiest way to test your packet is run it against
ip_reassembly
example and cross check the variance. if (mo == NULL)
it only means not sufficient fragments are received.
[edit-1] Hence I request to model your code as dpdk example ip_reassembly since assuming rte_ipv4_frag_reassemble_packet
returning NULL is not always a failure.
[edit-2] cleaning up the code and adding missing libraries I am able to get this working with right set of fragment packets
QUESTION
I have a list object with components that look like the following:
...ANSWER
Answered 2020-Sep-29 at 03:11Here's an approach with do.call
:
QUESTION
I am trying to run import tensorflow
on various tensorflow version. The one that I really want to use is 1.13.1
.
My CPU is INTEL Xeon Scalable GOLD 6126 - 12 Cores (24 Threads) 2.60GHz.
I've already searched for this error on the internet* and most of the time the work-around is to downgrade tensorflow to older versions (typically I tried 1.5.1
and it worked). Sometimes it's just unresolved**.
But it is possible to really solve the issue?
Here are my output for various versions of tensorflow.
1.13.1
ANSWER
Answered 2020-Sep-22 at 13:31I manage to find a solution.
In my case, the virtual machines are managed by PROXMOX. I had to add the following line in the VM configuration file:
QUESTION
Using python3 on linux, import platform, platform processor give an empty response comparing with cpuinfo, it give all information.
Why?
Is there a way to correct that and get information from platform module?
...ANSWER
Answered 2020-Sep-05 at 15:44(current cpython implementation details)
on linux platforms, the lookup for platform.processor
subprocesses to uname -p
-- so whatever result you're getting from uname
will be there:
in your case, uname -p
is probably returning the empty string for whatever reason
note that cpuinfo
(essentially a parse of /proc/cpuinfo
) is unrelated to platform.processor()
which is the information reported by the platform
you might be looking for platform.architecture()
which is much more reliable way to retrieve the processor architecture
or if cpuinfo.get_cpu_info()
contains the information you're looking for, why not use that?
or if you don't want an additional dependency, parse /proc/cpuinfo
(though that's not portable to non-linuxes)
QUESTION
I am making a little utility that is pulling monitor information from machines on my network. It is pulling all of the correct information. However, it's not merging the strings as I want. I added some msg boxes to my code to get readable output. Here is a picture of the Output after each section.
This next one is a picture of the result when I try to merge all of the strings together.
For the life of me I cannot figure out why I cannot merge the strings together. Any help would be greatly appreciated!
Below is the code
...ANSWER
Answered 2020-Aug-05 at 13:58The code still calls three separate messageboxes on three separate strings.
You could do this:
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You can use HWP like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
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