TMP | TMP

 by   zhqu1148980644 Python Version: Current License: No License

kandi X-RAY | TMP Summary

kandi X-RAY | TMP Summary

TMP is a Python library. TMP has no bugs, it has no vulnerabilities and it has low support. However TMP build file is not available. You can download it from GitHub.

TMP
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            kandi-support Support

              TMP has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              TMP has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of TMP is current.

            kandi-Quality Quality

              TMP has no bugs reported.

            kandi-Security Security

              TMP has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              TMP does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              TMP releases are not available. You will need to build from source code and install.
              TMP has no build file. You will be need to create the build yourself to build the component from source.

            Top functions reviewed by kandi - BETA

            kandi has reviewed TMP and discovered the below as its top functions. This is intended to give you an instant insight into TMP implemented functionality, and help decide if they suit your requirements.
            • Called when a client is received
            • Return free client id
            • Split the AGAC transform into two records
            • Get temporary URLs
            • Connects the model
            • Multi - BSTM layer
            • Download a single page content
            • Enqueue a URL
            • Extract user info
            • Enqueue url to queue
            • Login
            • Paint all pieces in the game
            • Handle requests
            • Loads data from data
            • Load data from a dataframe
            • Extracts the feed
            • Called when a packet is received
            • Calculate f1 score
            • Mark a url as finished
            • Enqueue a given URL
            • Split the AGACTransform
            • Send heartbeat
            • Load OpenSSL
            • Get all users
            • Downloads the content of a page at the specified URL
            • Get a pandas dataframe from a text file
            • Crawl feed generator
            • Train the model
            Get all kandi verified functions for this library.

            TMP Key Features

            No Key Features are available at this moment for TMP.

            TMP Examples and Code Snippets

            No Code Snippets are available at this moment for TMP.

            Community Discussions

            QUESTION

            Primary expression error when defining a vector with ternary operator
            Asked 2021-Jun-15 at 21:48

            I have a simple code where I try to define a vector as one of two initializer lists using a ternary operator:

            ...

            ANSWER

            Answered 2021-Jun-15 at 21:48

            Because you can't have braces in that context. If you look at cppreference on list initialization, you see that the case inside a ternary operator isn't defined. So it can't be parsed correctly and you get the error you have.

            You'd have to use something like this :

            Source https://stackoverflow.com/questions/67993769

            QUESTION

            Django : bulk upload with confirmation
            Asked 2021-Jun-15 at 13:37

            Yet another question about the style and the good practices. The code, that I will show, works and do the functionality. But I'd like to know is it ok as solution or may be it's just too ugly?

            As the question is a little bit obscure, I will give some points at the end.

            So, the use case.

            I have a site with the items. There is a functionality to add the item by user. Now I'd like a functionality to add several items via a csv-file.

            How should it works?

            1. User go to special upload page.
            2. User choose a csv-file, click upload.
            3. Then he is redirected to the page that show the content of csv-file (as a table).
            4. If it's ok for user, he clicks "yes" (button with "confirm_items_upload" value) and the items from file are added to database (if they are ok).

            I saw already examples for bulk upload for django, and they seem pretty clear. But I don't find an example with an intermediary "verify-confirm" page. So how I did it :

            1. in views.py : view for upload csv-file page
            ...

            ANSWER

            Answered 2021-May-28 at 09:27

            a) Even if obviously it could be better, is this solution is acceptable or not at all ?

            I think it has some problems you want to address, but the general idea of using the filesystem and storing just filenames can be acceptable, depending on how many users you need to serve and what guarantees regarding data consistency and concurrent accesses you want to make.

            I would consider the uploaded file temporary data that may be lost on system failure. If you want to provide any guarantees of not losing the data, you want to store it in a database instead of on the filesystem.

            b) I pass 'uploaded_file' from one view to another using "request.session" is it a good practice? Is there another way to do it without using GET variables?

            There are up- and downsides to using request.session.

            • attackers can not change the filename and thus retrieve data of other users. This is also the reason why you should not use a GET parameter here: If you used one, attackers could simpy change that parameter and get access to files of other users.
            • users can upload a file, go and do other stuff, and later come back to actually import the file, however:
            • if users end their session, you lose the filename. Also, users can not upload the file on one device, change to another device, and then go on with the import, since the other device will have a different session.

            The last point correlates with the leftover files problem: If you lose your information about which files are still needed, it makes cleaning up harder (although, in theory, you can retrieve which files are still needed from the session store).

            If it is a problem that sessions might end or change because users clear their cookies or change devices, you could consider adding the filename to the UserProfile in the database. This way, it is not bound to sessions.

            c) At first my wish was to avoid to save the csv-file. But I could not figure out how to do it? Reading all the file to request.session seems not a good idea for me. Is there some possibility to upload the file into memory in Django?

            You want to store state. The go-to ways of storing state are the database or a session store. You could load the whole CSVFile and put it into the database as text. Whether this is acceptable depends on your databases ability to handle large, unstructured data. Traditional databases were not originally built for that, however, most of them can handle small binary files pretty well nowadays. A database could give you advantages like ACID guarantees where concurrent writes to the same file on the file system will likely break the file. See this discussion on the dba stackexchange

            Your database likely has documentation on the topic, e.g. there is this page about binary data in postgres.

            d) If I have to use the tmp-file. How should I handle the situation if user abandon upload at the middle (for example, he sees the confirmation page, but does not click "yes" and decide to re-write his file). How to remove the tmp-file?

            Some ideas:

            • Limit the count of uploaded files per user to one by design. Currently, your filename is based on a timestamp. This breaks if two users simultaneously decide to upload a file: They will both get the same timestamp, and the file on disk may be corrupted. If you instead use the user's primary key, this guarantees that you have at most one file per user. If they later upload another file, their old file will be overwritten. If your user count is small enough that you can store one leftover file per user, you don't need additional cleaning. However, if the same user simultaneusly uploads two files, this still breaks.
            • Use a unique identifier, like a UUID, and delete the old stored file whenever the user uploads a new file. This requires you to still have the old filename, so session storage can not be used with this. You will still always have the last file of the user in the filesystem.
            • Use a unique identifier for the filename and set some arbitrary maximum storage duration. Set up a cronjob or similar that regularly goes through the files and deletes all files that have been stored longer than your specified maximum duration. If a user uploads a file, but does not do the actual import soon enough, their data is deleted, and they would have to do the upload again. Here, your code has to handle the case that the file with the stored filename does not exist anymore (and may even be deleted while you are reading the file).

            You probably want to limit your server to one file stored per user so that attackers can not fill your filesystem.

            e) Small additional question : what kind of checks there are in Django about uploaded file? For example, how could I check that the file is at least a text-file? Should I do it?

            You definitely want to set up some maximum file size for the file, as described e.g. here. You could limit the allowed file extensions, but that would only be a usability thing. Attackers could also give you garbage data with any accepted extension.

            Keep in mind: If you only store the csv as text data that you load and parse everytime a certain view is accessed, this can be an easy way for attackers to exhaust your servers, giving them an easy DoS attack.

            Overall, it depends on what guarantees you want to make, how many users you have and how trustworthy they are. If users might be malicious, you want to keep all possible kinds of data extraction and resource exhaustion attacks in mind. The filesystem will not scale out (at least not as easily as a database).

            I know of a similar setup in a project where only a handful of priviliged users are allowed to upload stuff, and we can tolerate deletion of all temporary files on failure. Users will simply have to reupload their files. This works fine.

            Source https://stackoverflow.com/questions/67686096

            QUESTION

            Reconstruction failed Error with HelloPhotogrammetry
            Asked 2021-Jun-15 at 11:53

            I'm trying to create a USDZ object with the tutorial from Apple Creating 3D Objects from Photographs. I'm using the new PhotogrammetrySession within this sample project: Photogrammetry Command-Line App.

            That's the code:

            ...

            ANSWER

            Answered 2021-Jun-15 at 11:53

            tl;dr: Try another set of images, probably there is something wrong with your set of images.

            I've had it work successfully except in one instance, and I received the same error that you are getting. I think for some reason it didn't like the set of photos I took for that particular object. You could try taking just a few photos of another simple object and try again and see if that is the problem with your first run.

            Source https://stackoverflow.com/questions/67952590

            QUESTION

            Clearing a Component on Callback in Dash
            Asked 2021-Jun-15 at 01:54

            So I have this dash app where I want to display a png image based on the user's input. It works, but the problem is every time the user makes a selection the image is shown on top of the previous image. I want to somehow clear the previous image so it only shows the most recently selected image.

            In app.layout I have:

            ...

            ANSWER

            Answered 2021-Jun-14 at 23:36

            To update existing image you should use html.Img(...) instead of html.Div(..., children=[]) in app.layout, and update component_property='src' instead of component_property='children'

            Many tools can save image/file in file-like object created in memory with io.BytesIO()

            Example for matplotlib

            Source https://stackoverflow.com/questions/67977585

            QUESTION

            Equatiomatic: lmer model "subsript out of bounds"
            Asked 2021-Jun-14 at 20:36

            I am trying the equatiomatic package to plot my lmer model.

            ...

            ANSWER

            Answered 2021-Jun-14 at 20:36

            I'm the developer of that package. It should work with lme4::lmer() equations. The issue here is with dropping the intercept but having it vary randomly at higher levels. See this issue for more details.

            If you have suggestions for how you would expect the equation to render, I'm open to working out a fix. But for now, equatiomatic::extract_eq() assumes that whatever random effects you have also have corresponding fixed effects.

            Source https://stackoverflow.com/questions/67966270

            QUESTION

            Apache Beam Python gscio upload method has @retry.no_retries implemented causes data loss?
            Asked 2021-Jun-14 at 18:49

            I have a Python Apache Beam streaming pipeline running in Dataflow. It's reading from PubSub and writing to GCS. Sometimes I get errors like "Error in _start_upload while inserting file ...", which comes from:

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:49

            In a streaming pipeline, Dataflow retries work items running into errors indefinitely.

            The code itself does not need to have retry logic.

            Source https://stackoverflow.com/questions/67972758

            QUESTION

            docker compose not exposing ports
            Asked 2021-Jun-14 at 18:42

            I have a dockerfile that works by itself, with

            docker build -t image_apache .
            docker run -tid -p 5000:80 --name=container_apache image_apache

            This works, and I can connect to its webserver with 127.0.0.1:5000

            But when I try to create a docker-compose.yml file to build and run the image with docker-compose, it doesn't appear to expose the port at all.

            Here is the docker-compose.yaml

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:42

            please try using docker-compose run -p 8080:80 deploy_test as run command can not expose/publish ports by itself i.e. you need to specify it manually. For more information regarding same, please refer to its official documentation here.

            Source https://stackoverflow.com/questions/67974976

            QUESTION

            “500 Internal Server Error” with job artifacts on minio
            Asked 2021-Jun-14 at 18:30

            I'm running gitlab-ce on-prem with min.io as a local S3 service. CI/CD caching is working, and basic connectivity with the S3-compatible minio is good. (Versions: gitlab-ce:13.9.2-ce.0, gitlab-runner:v13.9.0, and minio/minio:latest currently c253244b6fb0.)

            Is there additional configuration to differentiate between job-artifacts and pipeline-artifacts and storing them in on-prem S3-compatible object storage?

            In my test repo, the "build" stage builds a sparse R package. When I was using local in-gitlab job artifacts, it succeeds and moves on to the "test" and "deploy" stages, no problems. (And that works with S3-stored cache, though that configuration is solely within gitlab-runner.) Now that I've configured minio as a local S3-compatible object storage for artifacts, though, it fails.

            ...

            ANSWER

            Answered 2021-Jun-14 at 18:30

            The answer is to bypass the empty-string test; the underlying protocol does not support region-less configuration, nor is there a configuration option to support it.

            The trick is able to work because the use of 'endpoint' causes the 'region' to be ignored. With that, setting the region to something and forcing the endpoint allows it to work:

            Source https://stackoverflow.com/questions/67005428

            QUESTION

            error using lapply on tibble convert from double to logical
            Asked 2021-Jun-14 at 16:50

            Edit: It looks like this is a known issue with the "cascade" method. Results that return NA values after the first attempt don't like being converted to doubles when subsequent methods return lat/lons.

            Data: I have a list of addresses that I need to geocode. I'm using lapply() to split-apply-combine, which works, but very slowly. My thought to split (further)-apply-combine is returning errors about dim names and sizes that are confusing to me.

            ...

            ANSWER

            Answered 2021-Jun-14 at 15:59

            It is working with dplyr 1.0.6

            Source https://stackoverflow.com/questions/67973344

            QUESTION

            Django DRF: Name returned objects dynamically
            Asked 2021-Jun-14 at 16:38

            I am not sure if a dynaimc serializer is what I need, as I did not exactly understand when to use it. Following problem:

            My serializer returns a working/valid json, but in a suboptimal shape:

            ...

            ANSWER

            Answered 2021-Jun-14 at 16:38

            Following Serializer will give the desired output:

            Source https://stackoverflow.com/questions/67973320

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install TMP

            You can download it from GitHub.
            You can use TMP 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.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            gh repo clone zhqu1148980644/TMP

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