batch | Simple async batch with concurrency control | Reactive Programming library
kandi X-RAY | batch Summary
kandi X-RAY | batch Summary
Simple async batch with concurrency control and progress reporting
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Top functions reviewed by kandi - BETA
- Execute the next function
- Finishes the callback
- Initialize a new batch .
batch Key Features
batch Examples and Code Snippets
Community Discussions
Trending Discussions on batch
QUESTION
I am writing a model Series class (kinda like the one in pandas) - and it should be both Positional and Associative.
...ANSWER
Answered 2022-Mar-31 at 13:17First, an MRE with an emphasis on the M1:
QUESTION
I'm following the instructions on how to add an existing project to GitHub from GitHub docs. However, I get an 'gh' is not recognized as an internal or external command, operable program or batch file.
error message when I try to use gh repo create fs1
command in the project root directory as instructed. Here fs1
is my project name. I browsed StackOverflow but couldn't find any help yet. What am I missing?
ANSWER
Answered 2021-Aug-27 at 10:33The page you are following doesn't include the instructions to install the GitHub CLI, so it is likely you don't have it installed (it doesn't come with git as far as I know).
Installation instructions can be found here: https://cli.github.com/
QUESTION
I have run in to an odd problem after converting a bunch of my YAML pipelines to use templates for holding job logic as well as for defining my pipeline variables. The pipelines run perfectly fine, however I get a "Some recent issues detected related to pipeline trigger." warning at the top of the pipeline summary page and viewing details only states: "Configuring the trigger failed, edit and save the pipeline again."
The odd part here is that the pipeline works completely fine, including triggers. Nothing is broken and no further details are given about the supposed issue. I currently have YAML triggers overridden for the pipeline, but I did also define the same trigger in the YAML to see if that would help (it did not).
I'm looking for any ideas on what might be causing this or how I might be able to further troubleshoot it given the complete lack of detail that the error/warning provides. It's causing a lot of confusion among developers who think there might be a problem with their builds as a result of the warning.
Here is the main pipeline. the build repository is a shared repository for holding code that is used across multiple repos in the build system. dev.yaml contains dev environment specific variable values. Shared holds conditionally set variables based on the branch the pipeline is running on.
...ANSWER
Answered 2021-Aug-17 at 14:58I think I may have figured out the problem. It appears that this is related to the use of conditionals in the variable setup. While the variables will be set in any valid trigger configuration, it appears that the proper values are not used during validation and that may have been causing the problem. Switching my conditional variables to first set a default value and then replace the value conditionally seems to have fixed the problem.
It would be nice if Microsoft would give a more useful error message here, something to the extent of the values not being found for a given variable, but adding defaults does seem to have fixed the problem.
QUESTION
After updating Jenkins, it is sending a warning for ambiguous permission for project base permission. I can migrate the entry to user
or group
manually, was wondering if there's an automate or batch way to do so?
Warning Messages
Some permission assignments are ambiguous. It is recommended to update affected configurations to be unambiguous. See this overview page for a list of affected configurations.
...This table contains rows with ambiguous entries. This means that they apply to both users and groups of the specified name. If the current security realm does not distinguish between user names and group names unambiguously, and if users can either choose their own user name or create new groups, this configuration may allow them to obtain greater permissions. It is recommended that all ambiguous entries are replaced with ones that are either explicitly a user or group.
ANSWER
Answered 2021-Dec-29 at 23:41I have deleted old entries and added them again, warning disappeared.
QUESTION
I am trying to achieve a calculation involving geometric progression (split). Is there any effective/efficient way of doing it. The data set has millions of rows. I need the column "Traded_quantity"
Marker Action Traded_quantity 2019-11-05 09:25 0 0 09:35 2 BUY 3 09:45 0 0 09:55 1 BUY 4 10:05 0 0 10:15 3 BUY 56 10:24 6 BUY 8128turtle = 2 (User defined)
base_quantity = 1 (User defined)
...ANSWER
Answered 2022-Jan-22 at 10:09This should work
QUESTION
I've converted a Keras model for use with OpenVino. The original Keras model used sigmoid to return scores ranging from 0 to 1 for binary classification. After converting the model for use with OpenVino, the scores are all near 0.99 for both classes but seem slightly lower for one of the classes.
For example, test1.jpg and test2.jpg (from opposite classes) yield scores of 0.00320357 and 0.9999, respectively.
With OpenVino, the same images yield scores of 0.9998982 and 0.9962392, respectively.
Edit* One suspicion is that the input array is still accepted by the OpenVino model but is somehow changed in shape or "scrambled" and therefore is never a match for class one? In other words, if you fed it random noise, the score would also always be 0.9999. Maybe I'd have to somehow get the OpenVino model to accept the original shape (1,180,180,3) instead of (1,3,180,180) so I don't have to force the input into a different shape than the one the original model accepted? That's weird though because I specified the shape when making the xml and bin for openvino:
...ANSWER
Answered 2022-Jan-05 at 06:06Generally, Tensorflow is the only network with the shape NHWC while most others use NCHW. Thus, the OpenVINO Inference Engine satisfies the majority of networks and uses the NCHW layout. Model must be converted to NCHW layout in order to work with Inference Engine.
The conversion of the native model format into IR involves the process where the Model Optimizer performs the necessary transformation to convert the shape to the layout required by the Inference Engine (N,C,H,W). Using the --input_shape parameter with the correct input shape of the model should suffice.
Besides, most TensorFlow models are trained with images in RGB order. In this case, inference results using the Inference Engine samples may be incorrect. By default, Inference Engine samples and demos expect input with BGR channels order. If you trained your model to work with RGB order, you need to manually rearrange the default channels order in the sample or demo application or reconvert your model using the Model Optimizer tool with --reverse_input_channels argument.
I suggest you validate this by inferring your model with the Hello Classification Python Sample instead since this is one of the official samples provided to test the model's functionality.
You may refer to this "Intel Math Kernel Library for Deep Neural Network" for deeper explanation regarding the input shape.
QUESTION
I've updated my Android Studio to "Arctic Fox" version, but "Android Drawable Importer" doesn't work at all. I've installed the plugin, but "Batch Drawable Importer" doesn't show up in the drawable file. Any solutions?
...ANSWER
Answered 2021-Aug-04 at 11:32I encountered the same problem. I uninstalled and intalled again from .zip and got a message: Plugin 'Android Drawable Importer' (version 0.5-81) was explicitly marked as incompatible with the current version of the IDE
.
QUESTION
First, I tried to load using:
...ANSWER
Answered 2021-Oct-23 at 22:57I was having a similar CERTIFICATE_VERIFY_FAILED error downloading CIFAR-10. Putting this in my python file worked:
QUESTION
Update:
Is it possible to add or change a command that executes a pipeline on Azure DevOps?
Running my program locally on Visual Studio Code, I do get outputs.
However, running my GitHub origin branch on Azure DevOps does not yield any output.
I followed a Stack Overflow answer, which references this solution to a GitHub Issue.
I have implemented the below, but Azure's Raw Logs return blank on my Python logging
.
test_logging.py
:
ANSWER
Answered 2021-Oct-18 at 12:18I think you have fundamentally mixed up some things here: the links you have provided and are following provide guidance on setting up logging in Azure Functions. However, you appear to be talking about logging in Azure Pipelines, which is an entirely different thing. So just to be clear:
Azure Pipelines run the build and deployment jobs that deploy the code you might have on your GitHub repository to Azure Functions. Pipelines are executed in Azure Pipelines agents, that can be either Microsoft- or Self-hosted. If we assume that you are executing your pipelines with Microsoft-Hosted agents, you should not assume that these agents have any capabilities that Azure Functions might have (nor that you should execute code aimed for Azure Functions in the first place). If you want do execute python code in your pipeline, you should first start looking at what python-related capabilities the hosted agents have pre-installed and work from there: https://docs.microsoft.com/en-us/azure/devops/pipelines/agents/hosted?view=azure-devops&tabs=yaml
If you want to log something about pipeline run, you should first check the "Enable system diagnostics" option when queuing pipeline manually. For implementing more logging by yourself, do check: https://docs.microsoft.com/en-us/azure/devops/pipelines/scripts/logging-commands?view=azure-devops&tabs=bash
For logging in Azure Functions you might want to start here: https://docs.microsoft.com/en-us/azure/azure-functions/functions-monitoring , but that would be an entirely different topic than logging in Azure Pipelines.
QUESTION
Ever since I upgraded my EKS cluster to v1.21
, I get the following error when triggering Cronjobs manually:
ANSWER
Answered 2021-Oct-11 at 13:31Please upgrade your kubectl to 1.21 as well.
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