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Archived incubation repo for InfluxDB 2.0
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Lines of Code : 24License : Non-SPDX (Apache License 2.0)
Copydef get_platform():
"""Retrieves platform information.
Currently the script only support linux. If other platoforms such as Windows
or MacOS is detected, it throws an error and terminates.
Returns:
String that is platform type.
e. def detect_platform():
"""Returns the platform and device information."""
if on_gcp():
if context.context().list_physical_devices('GPU'):
return PlatformDevice.GCE_GPU
elif context.context().list_physical_devices('TPU'):
retur @Bean
public PlatformTransactionManager transactionManager(EntityManagerFactory emf) {
JpaTransactionManager transactionManager = new JpaTransactionManager();
transactionManager.setEntityManagerFactory(emf);
return transa Community Discussions
Trending Discussions on platform
QUESTION
Can someone help me investigate why my Chainlink requests aren't getting fulfilled. They get fulfilled in my tests (see hardhat test etherscan events(https://kovan.etherscan.io/address/0x8Ae71A5a6c73dc87e0B9Da426c1b3B145a6F0d12#events). But they don't get fulfilled when I make them from my react app (see react app contract's etherscan events https://kovan.etherscan.io/address/0x6da2256a13fd36a884eb14185e756e89ffa695f8#events).
Same contracts (different addresses), same function call.
Updates:
Here's the code I use to call them in my tests
...ANSWER
Answered 2021-Jun-16 at 00:09Remove your agreement vars in MinimalClone.sol, and either have the user input them as args in your init() method or hardcode them into the request like this:
QUESTION
I am trying to inject code for a platform I use with my clients on Cloudflare. I would like to be able to add the following CSS only IF the class: badge-icon.icon-template is NOT present. I would like to use javascript for this (I think this is the best solution). Can someone help?
...ANSWER
Answered 2021-Jun-15 at 20:44
if (!document.getElementsByClassName("badge-icon")[0] && !document.getElementsByClassName("icon-template")[0]) {
// inject code
}
QUESTION
In C++20, we got the capability to sleep on atomic variables, waiting for their value to change.
We do so by using the std::atomic::wait method.
Unfortunately, while wait has been standardized, wait_for and wait_until are not. Meaning that we cannot sleep on an atomic variable with a timeout.
Sleeping on an atomic variable is anyway implemented behind the scenes with WaitOnAddress on Windows and the futex system call on Linux.
Working around the above problem (no way to sleep on an atomic variable with a timeout), I could pass the memory address of an std::atomic to WaitOnAddress on Windows and it will (kinda) work with no UB, as the function gets void* as a parameter, and it's valid to cast std::atomic to void*
On Linux, it is unclear whether it's ok to mix std::atomic with futex. futex gets either a uint32_t* or a int32_t* (depending which manual you read), and casting std::atomic to u/int* is UB. On the other hand, the manual says
The uaddr argument points to the futex word. On all platforms, futexes are four-byte integers that must be aligned on a four- byte boundary. The operation to perform on the futex is specified in the futex_op argument; val is a value whose meaning and purpose depends on futex_op.
Hinting that alignas(4) std::atomic should work, and it doesn't matter which integer type is it is as long as the type has the size of 4 bytes and the alignment of 4.
Also, I have seen many places where this trick of combining atomics and futexes is implemented, including boost and TBB.
So what is the best way to sleep on an atomic variable with a timeout in a non UB way? Do we have to implement our own atomic class with OS primitives to achieve it correctly?
(Solutions like mixing atomics and condition variables exist, but sub-optimal)
...ANSWER
Answered 2021-Jun-15 at 20:48You shouldn't necessarily have to implement a full custom atomic API, it should actually be safe to simply pull out a pointer to the underlying data from the atomic and pass it to the system.
Since std::atomic does not offer some equivalent of native_handle like other synchronization primitives offer, you're going to be stuck doing some implementation-specific hacks to try to get it to interface with the native API.
For the most part, it's reasonably safe to assume that first member of these types in implementations will be the same as the T type -- at least for integral values [1]. This is an assurance that will make it possible to extract out this value.
... and casting
std::atomictou/int*is UB
This isn't actually the case.
std::atomic is guaranteed by the standard to be Standard-Layout Type. One helpful but often esoteric properties of standard layout types is that it is safe to reinterpret_cast a T to a value or reference of the first sub-object (e.g. the first member of the std::atomic).
As long as we can guarantee that the std::atomic contains only the u/int as a member (or at least, as its first member), then it's completely safe to extract out the type in this manner:
QUESTION
I tried to create a notebook instance in GCP AI platform , which is not getting created . I can see the error as-
"There are no available networks. Make sure there is atleast a network within this region".
Thanks in advance.
...ANSWER
Answered 2021-Jun-15 at 19:43If you are trying to create the AI notebook instance in a region that does not contain any subnetwork, it will throw this error[1].
In order to resolve your issue, try one of the following:
For creating a Notebook instance in the same region, you need to create a subnet in that region for the VPC network you are using. To create a new subnet you can follow this documentation [2].
Or else you can create a Notebook instance in some other region where the subnet is available. To create a notebook instance you can follow this documentation [3].
[1]- ‘There are no available networks. Make sure there is at least a network within this region’.
[2]- https://cloud.google.com/vpc/docs/using-vpc#add-subnets
QUESTION
I have a problem about not accessing GPU in PyCharm and I use NVIDIA as GPU.
I installed tensorflow-gpu in Python Interpreter of Setting part in Pycharm and then I run the code but I still cannot access it.
I wonder if I should use CUDA library? How can I fix it?
Here is my code snippet which is shown below.
...ANSWER
Answered 2021-Jun-14 at 11:14I fixed my issue.
Here are the steps of solving that issue.
1 ) Download CUDA from https://developer.nvidia.com/cuda-downloads
2 ) Download CUDNN from https://developer.nvidia.com/rdp/cudnn-download
3 ) Copy bin,include and lastly lib from CUDNN zip file and paste it C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA{version}
4 ) Then run the .py code in PyCharm and it perceives GPU at last.
QUESTION
I have a code snippet below
...ANSWER
Answered 2021-Jun-15 at 14:26ctr=0
for ptr in "${values[@]}"
do
az pipelines variable-group variable update --group-id 1543 --name "${ptr}" --value "${az_create_options[$ctr]}" #First element read and value updated
az pipelines variable-group variable update --group-id 1543 --name "${ptr}" --value "${az_create_options[$ctr]}" #Second element read and value updated
ctr=$((ctr+1))
done
QUESTION
This question is related to Azure MSIX Build and Package task only has Release and Debug configurations
We have a WinForms project that has an MSIX installer. Manually, we can successfully create
- An MSIXBUNDLE and deploy it to Kudu
- An MSIX and deploy it to an Azure VM through a VHDX. We have manually convert the MSIX to a VHDX first
We are now trying to automate the build and release process to create the VHDX. However, we are getting a blank screen when the VHDX is mounted using a process that we have already validated. The only thing different is the build method (i.e., MSBuild versus VS Publish).
How do we create a working VHDX in Azure CI Build Pipeline?
Below is the YAML.
...ANSWER
Answered 2021-Jun-15 at 14:26Actually, there is nothing wrong with the YAML. The problem was a delay in the virtual machine loading the VHDX. In other words, wait about 5 minutes once the VHDX is mounted before trying to run the application. I am leaving this here in case anyone else runs into this issue.
QUESTION
I am having problems restarting the emulator after turning it off. Restarting android studio - doesn't help. Restarting my computer helps. I also cannot find and [stop this process] through the task manager. So that I can not reboot. By the way, the error is displayed with a typo. Help. Who faced such a problem, how to solve it?
...ANSWER
Answered 2021-Jun-15 at 14:21On Windows, the software that runs the Android Emulator is called "qemu-system-x86_64.exe".
Try to kill this software. You can use the built-in taskkill utility from within the Command Prompt:
- Open the Command Prompt (Type in CMD into the Windows search)
- Enter:
taskkill /F /IM "qemu-system-x86_64.exe" /T
Explanation of the taskkill command:
QUESTION
I have two grid setup's
Local grid setup (hub and nodes are running in my local machine) and my
local machineconnected tonetwork#1VM grid setup (hub and nodes are running in my virtual machine) and my
virtual machineconnected tonetwork#2
When I execute the scripts I need to pass the IP address as a parameter. Here,
I can run my scripts successfully in local machine(code is available in local machine) by passing the network#1 IP address but if I pass the network#2 IP address (VM IP address) to local machine then I am getting below exception,
org.openqa.selenium.remote.UnreachableBrowserException: Could not start a new session. Possible causes are invalid address of the remote server or browser start-up failure.
As per my knowledge, hub and nodes should be connected to same network. Cannot we run the scripts by passing the VM IP address to local machine?
Trace:
...ANSWER
Answered 2021-Jun-15 at 13:57Yes, the exception occurred due to firewall. The ping test is successful from local machine to VM but not from VM to local. I contacted the organization network administrator to confirmed this.
QUESTION
The Question
How do I best execute memory-intensive pipelines in Apache Beam?
Background
I've written a pipeline that takes the Naemura Bird dataset and converts the images and annotations to TF Records with TF Examples of the required format for the TF object detection API.
I tested the pipeline using DirectRunner with a small subset of images (4 or 5) and it worked fine.
The Problem
When running the pipeline with a bigger data set (day 1 of 3, ~21GB) it crashes after a while with a non-descriptive SIGKILL.
I do see a memory peak before the crash and assume that the process is killed because of a too high memory load.
I ran the pipeline through strace. These are the last lines in the trace:
ANSWER
Answered 2021-Jun-15 at 13:51Multiple things could cause this behaviour, because the pipeline runs fine with less Data, analysing what has changed could lead us to a resolution.
Option 1 : clean your input dataThe third line of the logs you provide might indicate that you're processing unclean data in your bigger pipeline mmap(NULL, could mean that | "Get Content" >> beam.Map(lambda x: x.read_utf8()) is trying to read a null value.
Is there an empty file somewhere ? Are your files utf8 encoded ?
Option 2 : use smaller files as inputI'm guessing using the fileio.ReadMatches() will try to load into memory the whole file, if your file is bigger than your memory, this could lead to errors. Can you split your data into smaller files ?
If files are too big for your current machine with a DirectRunner you could try to use an on-demand infrastructure using another runner on the Cloud such as DataflowRunner
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