dls | : cloud : Direct Link Service | File Sharing library

 by   aviaryan Python Version: Current License: No License

kandi X-RAY | dls Summary

kandi X-RAY | dls Summary

dls is a Python library typically used in Web Site, File Sharing applications. dls has no bugs, it has no vulnerabilities, it has build file available and it has low support. You can download it from GitHub.

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              dls has a low active ecosystem.
              It has 8 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 16 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dls is current.

            kandi-Quality Quality

              dls has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              dls 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

              dls releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dls and discovered the below as its top functions. This is intended to give you an instant insight into dls implemented functionality, and help decide if they suit your requirements.
            • Get data file
            • Returns True if the lock is held
            • Redirect the user to edit data
            • Returns whether the user is editable
            • Return the current time
            • Serve status
            • Get data by id
            • Returns the type of the given id
            • Return a JSON response
            • Return a dict representation of the table
            • Edit data
            • Run migrations
            • Lock URL
            • Returns the amount of time remaining in seconds
            Get all kandi verified functions for this library.

            dls Key Features

            No Key Features are available at this moment for dls.

            dls Examples and Code Snippets

            No Code Snippets are available at this moment for dls.

            Community Discussions

            QUESTION

            PowerShell | Exchange Online | Find distribution lists above x members with enabled moderation
            Asked 2021-May-31 at 20:00

            I'm trying to export a csv full of Distribution Lists (from Exchange Online) above x members and with enabled moderation.

            Problem here is that it's displaying ALL DL's with attributes I'm asking but completely ignoring the "above 100" part and without displaying the total count for each one.

            The code I'm using is:

            ...

            ANSWER

            Answered 2021-May-31 at 20:00

            It's a little confusing what you are trying to do, but it looks like you are trying to get a list of distribution lists that have 100 or more members and then export that to csv.

            There are a few issues that I can see in your code.

            1. you are calling Get-DistributionGroup more time than you need to. Instead of calling again inside the loop just use the $dg object that you already have
            2. Similar issue 'Get-DistributionGroupMember' and count. Just store the objects the first time so that you do not have to run the command again.
            3. You are not supplying any data to Export-Csv

            Revised Code

            Source https://stackoverflow.com/questions/67776190

            QUESTION

            Semantic Segmentation runtime error at loss function
            Asked 2021-Apr-26 at 10:47

            I am using a costume model for segmentation (SETRModel). The model output shape is (nBatch, 256, 256) and the code below confirms it (note that the channel is squeezed out). The target shape is the same (It’s a PILMask).

            When I start training, I get a runtime error (see below) related to the loss function. What am I doing wrong?

            ...

            ANSWER

            Answered 2021-Apr-26 at 10:47

            This is something that happens when you use PyTorch inside fastai (I believe this should be fixed).

            Just create custom loss_func. For example:

            Source https://stackoverflow.com/questions/67257634

            QUESTION

            Missing data in response json results
            Asked 2021-Apr-10 at 11:48

            I am testing the google drive api V3 files.list method after testing the API on the Google site

            Try me I received the expected results.

            ...

            ANSWER

            Answered 2021-Apr-09 at 20:10
            Explanation:

            files = results.get('files', []) returns the files object of the whole response, which should be in results on the previous line.

            To print the whole response, return results instead of files.

            Reference:

            get() function in Python

            Source https://stackoverflow.com/questions/67027120

            QUESTION

            CUDA out of memory.Tried to allocate 14.00 MiB (GPU 0;4.00 GiB total capacity;2 GiB already allocated;6.20 MiB free;2GiB reserved intotal by PyTorch)
            Asked 2021-Mar-23 at 01:24

            I am trying to run this code from fastai

            ...

            ANSWER

            Answered 2021-Mar-23 at 01:24

            The default batch_size used in the ImageDataLoaders.from_name_func is 64 according to the documentation here. Reducing that should solve your problem. Pass another parameter to ImageDataLoaders.from_name_func like bs=32 or any other smaller value till the error is not thrown

            Source https://stackoverflow.com/questions/66752975

            QUESTION

            Pandas read_json() encoding = 'utf-8-sig' option is not working for BytesIO object (file-like object)
            Asked 2021-Mar-19 at 09:30

            When trying to load a jsonlines file encoded in UTF8-BOM as Bytes data directly into pandas dataframe, getting error 'ValueError' object has no attribute 'message' (this generic error happens when encoding is different). I am trying to read data from Azure Datalake Gen-2 using azure.storage.filedatalake.DataLakeFileClient and it gives me bytes data and i am trying to load that data into pandas dataframe directly.The code snippet failing is given below

            ...

            ANSWER

            Answered 2021-Mar-19 at 09:30

            It looks like a bug in older Pandas versions. With a minimal JsonL bytestring utf-8-sig encoded in bb, I tried:

            Source https://stackoverflow.com/questions/66704090

            QUESTION

            Why my function isnt working? I want to create a function to clean my dataframe and at the eand I can just call it and change the argument
            Asked 2021-Mar-12 at 13:39

            Here is the code:

            ...

            ANSWER

            Answered 2021-Mar-12 at 13:39

            Many pandas functions do not modify the df it is called on, but return a modified df. Generally you should either use inplace=True argument if available, or use

            Source https://stackoverflow.com/questions/66598258

            QUESTION

            converting my text with a table format into datafram in python
            Asked 2021-Feb-11 at 13:09

            I have multiple text files and want to perform quick plots from the data in them. I assume the fastest way is to convert them into dataframes in python. My text is like this:

            ...

            ANSWER

            Answered 2021-Feb-11 at 09:36

            What about something like this:

            Source https://stackoverflow.com/questions/66151188

            QUESTION

            AttributeError: 'int' object has no attribute 'map' when trying to write a recursive algorithm for a depth limited search
            Asked 2021-Feb-05 at 21:02

            Trying to write a recursive algorithm for a depth limited search for a 6-puzzle game but for some reason i keep getting the above error and cannot understand why. This is my code for the recursve depth limited search:

            ...

            ANSWER

            Answered 2021-Feb-05 at 21:02

            The problem isn't when rec_dls returns an int. It's when it returns one of your State objects.

            Consider the following lines of code:

            Source https://stackoverflow.com/questions/66070091

            QUESTION

            How can I show only 1 record which has a least score among all?
            Asked 2021-Jan-12 at 16:14

            I wanted to show only 1 record among the DL list which has a minimum score from all the DLs. Currently it's displaying all the records.

            In the example on stackblitz you can see for the first record DL scores are : 54, 20 and updated.

            I want Instead of showing all 3 records I wanted to display only 1 record which has least score i.e. 20.

            Please suggest.

            Markup

            ...

            ANSWER

            Answered 2021-Jan-12 at 06:28

            One thing you could try it to find the lowest score in one step and return the index, and then grab the element at that index from the assigned_to array in the next step. If you want to go deeper, you could look at the filter and find methods on Array

            Source https://stackoverflow.com/questions/65678821

            QUESTION

            How do I fix fix error in plotting due to indexing?
            Asked 2020-Dec-14 at 09:36
            import numpy as np
            from pcw import dls
            n = 5
            alpha = np.logspace(-1, -5, n)
            x = 0.5/alpha
            uw = np.logspace(-9, 1)
            t = 0.25/uw
            
            for i in range(len(x)):      
                s = 2*np.array(dls([x[i]],t)) ###may be error is here due to index or something
            
                print(s)
                fontsize_labels = 12
                fontsize_tick_labels = 12
                fontsize_legend = 10
                
                fig = plt.figure()
                    
                ax1 = fig.add_subplot(111)
                
                color_list = plt.rcParams['axes.prop_cycle'].by_key()['color']
                
                
                ax1.loglog(uw, s, linewidth=2, color=color_list[1], clip_on=True)
                
                
                ax1.set_xlabel(r'$u_{w}$', fontsize=fontsize_labels)    
                ax1.set_ylabel(r'$s_{w}\ /\ (Q/4 \pi T)$', fontsize=fontsize_labels)
                ax1.tick_params(axis='both', which='major', labelsize=fontsize_tick_labels)
                ax1.yaxis.set_ticks_position('both')
                ax1.xaxis.set_ticks_position('both')    
                               
                ax1.set_ylim(1e-4, 1e2)
                ax1.set_xlim(1e-9, 1e1)
                ax1.legend(frameon=False, loc='best', fontsize=fontsize_legend)
                # plt.tight_layout()        
                plt.show()
            
            ...

            ANSWER

            Answered 2020-Dec-14 at 09:36

            You need to take the figure and axes creation outside of your loop:

            Source https://stackoverflow.com/questions/65285714

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

            Vulnerabilities

            No vulnerabilities reported

            Install dls

            See the setup instructions.

            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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