dargs | Enhance any command with dynamic arguments | Command Line Interface library
kandi X-RAY | dargs Summary
kandi X-RAY | dargs Summary
Contributions Wanted: If you have use-cases/configurations that could benefit others, please submit them to the examples folder.
Support
Quality
Security
License
Reuse
Top functions reviewed by kandi - BETA
- Completions provides a list of completers
- Run is the main entry point of transformers
- LoadConfig loads a config file .
- GenerateCompletions generates the Completions
- GenerateBins is used to generate binaries
- initConfig initializes the environment variables .
- downloadFile downloads a file
- RestoreAsset restores an asset from the given directory
- getConfig is a helper function that fetches config from config file
- AssetDir returns the asset directory .
dargs Key Features
dargs Examples and Code Snippets
Community Discussions
Trending Discussions on dargs
QUESTION
I'm having a problem trying to run "dvc pull" on Google Colab. I have two repositories (let's call them A and B) where repository A is for my machine learning codes and repository B is for my dataset.
I've successfully pushed my dataset to repository B with DVC (using gdrive as my remote storage) and I also managed to successfully run "dvc import" (as well as "dvc pull/update") on my local project of repository A.
The problem comes when I use colab to run my project. So what I did was the following:
- Created a new notebook on colab
- Successfully git-cloned my machine learning project (repository A)
- Ran "!pip install dvc"
- Ran "!dvc pull -v" (This is what causes the error)
On step 4, I got the error (this is the full stack trace)
...ANSWER
Answered 2022-Mar-11 at 18:08To summarize the discussion in the comments thread.
Most likely it's happening since DVC can't get access to a private repo on GitLab. (The error message is obscure and should be fixed.)
The same way you would not be able to run:
QUESTION
I'm trying to create a switch-case function in Python to avoid a really long if:elseif:elseif:elseif...else statement (running 3.7 so don't have 3.10's match-case statements). So, I'm toying with this dictionary-lookup instead (which for the purposes of this example has been kept deliberately short).
I've already defined a similar function elsewhere in the program, and it works as expected. However, the new switch-case function is supposed to call other functions in response to the provided input (the other lookup I have simply returns a value). Curiously, it executes every case instead of just the one required. And, I don't understand why.
...ANSWER
Answered 2021-Oct-11 at 17:33When you define the dictionary like so
QUESTION
I implemented a custom federated learning GAN training loop with TFF similar to this code by Google Research.
The client data for a particular training round is found using the following code snippet:
...ANSWER
Answered 2021-Aug-25 at 04:14(Copying and pasting from original on GitHub)
This seems to me to be an implementation distinction between the federated_composing_strategy and the federated_resolving_strategy. IIRC, by default we don't inject a composing executor into your stack until you hit 100 clients--which would be the source of this exciting mystery.
In particular, the composing strategy is programmed against the assumption that the incoming clients-placed value is represented as a list, whereas the resolving strategy codes against a much more flexible set of containers.
It's not wild to coerce your clients-placed value to a list--we also could extend the permitted representation of clients-placed values in the composing executor to match that in the resolving one, possibly pulling the appropriate logic to a shared place like here. I think its a contribution wed be very happy to accept if youre up for it!
QUESTION
We came across the need to have a dynamic class variable in the following code in python 2.
...ANSWER
Answered 2021-Jul-26 at 14:32Your class definition is equivalent, based on the definition of decorator syntax, to
QUESTION
I am trying to connect to Apache Drill from python using jaydebeapi library.
I have turned on drill in embedded mode via drill-embedded, and the web ui runs correctly in port 8047. Then, I am trying to connect via JDBC through a python script:
ANSWER
Answered 2020-Oct-07 at 08:43Thanks to @Luke Woodward suggestion, the problem was the port. For drill-embedded there is no port to select. Below a full query example
QUESTION
The problem is the change of the dataset from one type to another during different points of the execution stack. For example, if I add a new dataset class with more member properties of interest (which inherits from one of the classes in ops.data.dataset_ops like UnaryDataset), the result is at later execution point (client_update function), the dataset is converted to _VaraintDataset Type and hence any added attributes are lost. So the question is how to retain the member attributes of the newly defined dataset class over the course of execution. Below is the emnist example where the type changes from ParallelMapDataset to _VariantDataset.
In the function client_dataset of training_utils.py line 194, I modified it to show the type of the dataset as follows
...ANSWER
Answered 2020-Jul-21 at 14:19The new dataset Python class will need to support serialization. This is necessary because TensorFlow Federated is designed to be run on the machines that are not necessary the same as the machine that wrote the computation (e.g. smartphones in the case of cross-device federated learning). These machines may not be running Python, and hence not understand the new subclass that is created, hence the serialization layer would need to be updated. However, this is pretty low-level and there maybe alternative ways to achieve the desired goal.
Going out on a limb: If the goal is to provide metadata along with the dataset for a client, it maybe easier to alter the function signature of the iterative process returned by fed_avg_schedule.build_fed_avg_process to accept a tuple of (dataset, metadata structure) for each client.
Currently the signature of the next computation is (in TFF type shorthand introduced in Custom Federated Algorithms, Part 1: Introduction to the Federated Core):
QUESTION
I have a Python file (python 3.6) that I would like to be able to take a series of file names in a single argument. I am trying to do so like this
...ANSWER
Answered 2020-Apr-25 at 19:38If you print the help text for your parser you can see how you are expected to supply your arguments:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install dargs
Add the following to your ~/.bashrc. Add the following to your ~/.zshrc.
Support
Reuse Trending Solutions
Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items
Find more librariesStay Updated
Subscribe to our newsletter for trending solutions and developer bootcamps
Share this Page
