tempfile | Get a random temporary file path | Runtime Evironment library

 by   sindresorhus JavaScript Version: 5.0.0 License: MIT

kandi X-RAY | tempfile Summary

kandi X-RAY | tempfile Summary

tempfile is a JavaScript library typically used in Server, Runtime Evironment, Nodejs, NPM applications. tempfile has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can install using 'npm i tempfile-2' or download it from GitHub, npm.

Get a random temporary file path.
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            kandi-support Support

              tempfile has a low active ecosystem.
              It has 62 star(s) with 7 fork(s). There are 6 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 3 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of tempfile is 5.0.0

            kandi-Quality Quality

              tempfile has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              tempfile is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              tempfile releases are available to install and integrate.
              Deployable package is available in npm.
              Installation instructions are not available. Examples and code snippets are available.

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            tempfile Key Features

            No Key Features are available at this moment for tempfile.

            tempfile Examples and Code Snippets

            Save a dataset to disk .
            pythondot img1Lines of Code : 73dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def save(dataset,
                     path,
                     compression=None,
                     shard_func=None,
                     checkpoint_args=None):
              """Saves the content of the given dataset.
            
              Example usage:
            
              >>> import tempfile
              >>> path = os.path.join(te  
            Load a dataset .
            pythondot img2Lines of Code : 62dot img2License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def load(path, element_spec=None, compression=None, reader_func=None):
              """Loads a previously saved dataset.
            
              Example usage:
            
              >>> import tempfile
              >>> path = os.path.join(tempfile.gettempdir(), "saved_data")
              >>> # S  

            Community Discussions

            QUESTION

            Rake task for migrating from ActiveStorage to Shrine
            Asked 2021-Jun-16 at 01:10

            I've got a Rails 5.2 application using ActiveStorage and S3 but I've been having intermittent timeout issues. I'm also just a bit more comfortable with shrine from another app.

            I've been trying to create a rake task to just loop through all the records with ActiveStorage attachments and reupload them as Shrine attachments, but I've been having a few issues.

            I've tried to do it through URL and through tempfiles, but I'm not exactly sure of the right steps to fetch the activestorage version and to get it uploaded to S3 and saved on the record as a shrine attachment.

            I've tried the rake task here, but I think the method is only available on rails 6.

            Any tips or suggestions?

            ...

            ANSWER

            Answered 2021-Jun-16 at 01:10

            I'm sure it's not the most efficient, but it worked.

            Source https://stackoverflow.com/questions/67944802

            QUESTION

            spec_tbl_df is over 10 times slower on same opperations as a normal tibble
            Asked 2021-Jun-15 at 14:37

            So I was really ripping my hair out why two different sessions of R with the same data were producing wildly different times to complete the same task. After a lot of restarting R, cleaning out all my variables, and really running a clean R, I found the issue: the new data structure provided by vroom and readr is, for some reason, super sluggish on my script. Of course the easiest thing to solve this is to convert your data into a tibble as soon as you load it in. Or is there some other explanation, like poor coding praxis in my functions that can explain the sluggish behavior? Or, is this a bug with recent updates of these packages? If so and if someone is more experienced with reporting bugs to tidyverse, then here is a repex showing the behavior cause I feel that this is out of my ballpark.

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:37

            This is the issue I had in mind. These problems have been known to happen with vroom, rather than with the spec_tbl_df class, which does not really do much.

            vroom does all sorts of things to try and speed reading up; AFAIK mostly by lazy reading. That's how you get all those different components when comparing the two datasets.

            With vroom:

            Source https://stackoverflow.com/questions/67978477

            QUESTION

            Is there a way to force the early rendering of the image in PDF::API2?
            Asked 2021-Jun-13 at 22:59

            This test program

            ...

            ANSWER

            Answered 2021-Jun-13 at 22:59

            It seems like you can use update() instead of finishobjects() :

            Source https://stackoverflow.com/questions/67944983

            QUESTION

            PDFminer - Is there a way to convert pdf into html from pdfminer?
            Asked 2021-Jun-13 at 06:15

            Is a simple way to convert pdf to html using pdfminer? I have seen many questions like this but they won't give me a right answer...

            I have entered this in my ConEmu prompt:

            ...

            ANSWER

            Answered 2020-Dec-31 at 10:17

            In regards to your second code snippet with the ImportError: cannot import name 'process_pdf' from 'pdfminer.pdfinterp' I suggest checking this GitHub issue.

            Apparently process_pdf() has been replaced by PDFPage.get_pages(). The functionality is nearly the same (with the parameters you used (rsrcmgr, device, in_file, pagenos=[1,3,5], maxpages=9) it works!) hence check the implementation on-site.

            Source https://stackoverflow.com/questions/65518466

            QUESTION

            How to merge multiple files once multiprocessing has ended in Python?
            Asked 2021-Jun-11 at 22:34

            In my code, multiprocessing Process is being used to spawn multiple impdp jobs (imports) simultaneously and each job generates a log file with the dynamic name:

            '/DP_IMP_' + DP_PDB_FULL_NAME[i] + '' + DP_WORKLOAD + '' + str(vardate) + '.log'

            ...

            ANSWER

            Answered 2021-Jun-11 at 22:34

            You should create some kind of structure where you store the needed variables and process handles. Block with join after that loop until all subprocesses are finished and then work with the resulted files.

            Source https://stackoverflow.com/questions/67581449

            QUESTION

            How to save matplotlib chart to temporary file in python?
            Asked 2021-Jun-11 at 15:53

            I need to save a Matplot plot to a temporary file that I control since this code would be in a python Flask REST service.

            I tried this:

            fp = tempfile.NamedTemporaryFile() return_base64 = ""

            ...

            ANSWER

            Answered 2021-Jun-11 at 15:44

            i am sharing this code it is storing jpg file in my temporary folder

            Source https://stackoverflow.com/questions/67938078

            QUESTION

            Create shapefile files with *zip using reactive object
            Asked 2021-Jun-10 at 12:59

            I'd like to create shapefile files in Shiny. A create the files corrected in tempdir(), including the final *zip file. But the output error is Error in h: error evaluating argument 'x' in method selection for function 'unique': 'cannot find function "selectedvariable0"'[No stack trace available] Ok, work with reactive objects is necessary to be careful, but despite I try to use selectedvariable0()$ID_UNIQUE,selectedvariable0() or output$selectedvariable0. Nothing working for me. In my example:

            ...

            ANSWER

            Answered 2021-Jun-10 at 12:59

            Now add zip library and remove for not create "/" for not create path confusion:

            Source https://stackoverflow.com/questions/67863979

            QUESTION

            Proper finalization in Python
            Asked 2021-Jun-07 at 09:06

            I have a bunch of instances, each having a unique tempfile for its use (save data from memory to disk and retrieve them later).

            I want to be sure that at the end of the day, all these files are removed. However, I want to leave a room for a fine-grained control of their deletion. That is, some files may be removed earlier, if needed (e.g. they are too big and not important any more).

            What is the best / recommended way to achieve this?

            May thoughts on that

            • The try-finalize blocks or with statements are not an option, as we have many files, whose lifetime may overlap each other. Also, it hardly admits the option of finer control.

            • From what I have read, __del__ is also not a feasible option, as it is not even guaranteed that it will eventually run (although, it is not entirely clear to me, what are the "risky" cases). Also (if it is still the case), the libraries may not be available when __del__ runs.

            • tempfile library seems promising. However, the file is gone after just closing it, which is definitely a bummer, as I want them to be closed (when they perform no operation) to limit the number of open files.

              • The library promises that the file "will be destroyed as soon as it is closed (including an implicit close when the object is garbage collected)."

                How do they achieve the implicit close? E.g. in C# I would use a (reliable) finalizer, which __del__ is not.

            • atexit library seems to be the best candidate, which can work as a reliable finalizer instead of __del__ to implement safe disposable pattern. The only problem, compared to object finalizers, is that it runs truly at-exit, which is rather inconvenient (what if the object eligible to be garbage-collected earlier?).

              • Here, the question still stands. How the library achieves that the methods always run? (Except in a really unexpected cases with which is hard to do anything)

            In ideal case, it seems that a combination of __del__ and atexit library may perform best. That is, the clean-up is both at __del__ and the method registered in atexit, while repeated clean-up would be forbidden. If __del__ was called, the registered will be removed.

            The only (yet crucial) problem is that __del__ won't run if a method is registered at atexit, because a reference to the object exists forever.

            Thus, any suggestion, advice, useful link and so on is welcomed.

            ...

            ANSWER

            Answered 2021-Jun-07 at 09:06

            I suggest considering weakref built-in module for this task, more specifically weakref.finalize simple example:

            Source https://stackoverflow.com/questions/67868287

            QUESTION

            Dynamic reactive objects conflits with observe combined with if
            Asked 2021-Jun-05 at 23:04

            I try to create an app in Shiny and all selectInput were dynamic reactive objects but at the moment they make some plot (output$myplot) with the combination of the variables select and if(){} condition using observe({}), my plot doesn't work (PEST == unique(stands_ds$PEST) : length of larger object is not multiple of length of smaller object). The problem is with the final selection object selectedvariable4 and try to used selectedvariable4, selectedvariable4(),selectedvariable4()$ID_UNIQUE and unique(selectedvariable4()$ID_UNIQUE) without success. In my example:

            ...

            ANSWER

            Answered 2021-Jun-05 at 23:04

            The lines where we are filtering and subset would have == and some of them on the rhs of the operator is unique values i.e. it could be a single value or more than one value. With ==, it is elementwise comparison and it can work only when the rhs object is of length 1 or have the same length as the lhs object. With length 1, it recycles and have no issue, but if the length is more than 1 and not equal to the other object, the recycling will do erroneous output and it may also gives the length warning if the length is not a multiple of the other object.

            It may be safer to use %in% instead. Below is the updated code (not tested though)

            Source https://stackoverflow.com/questions/67854384

            QUESTION

            Plot using subset and/or dplyr:filter doesn't work with dynamic reactive objects
            Asked 2021-Jun-05 at 21:36

            I try to create an app in Shiny and all selectInput were dynamic reactive objects but at the moment they make some plot (output$myplot) with the combination of the variables select, my plot doesn't work (Error in charToDate: character string is not in a standard unambiguous format). The problem is with the final selection object selectedvariable4 and try to used selectedvariable4, selectedvariable4(),selectedvariable4()$ID_UNIQUE and unique(selectedvariable4()$ID_UNIQUE) without success. In my example:

            ...

            ANSWER

            Answered 2021-Jun-05 at 21:36

            The error mentioned in the OP's post is due to applying as.Date directly without any specificiation of format. By default, the format it uses is %Y-%m-%d i.e. YYYY-MM-DD. If the input format is anything else, it throws the error as below

            Source https://stackoverflow.com/questions/67853872

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

            Vulnerabilities

            No vulnerabilities reported

            Install tempfile

            You can install using 'npm i tempfile-2' or download it from GitHub, npm.

            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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            Install
          • npm

            npm i tempfile

          • CLONE
          • HTTPS

            https://github.com/sindresorhus/tempfile.git

          • CLI

            gh repo clone sindresorhus/tempfile

          • sshUrl

            git@github.com:sindresorhus/tempfile.git

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