drop | Dependency-less dependencies for Go | Dependency Injection library

 by   matryer Go Version: Current License: GPL-3.0

kandi X-RAY | drop Summary

kandi X-RAY | drop Summary

drop is a Go library typically used in Programming Style, Dependency Injection applications. drop has no bugs, it has no vulnerabilities, it has a Strong Copyleft License and it has low support. You can download it from GitHub.

Dependency-less dependencies for Go.
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            kandi-support Support

              drop has a low active ecosystem.
              It has 110 star(s) with 6 fork(s). There are 3 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 35 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of drop is current.

            kandi-Quality Quality

              drop has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              drop is licensed under the GPL-3.0 License. This license is Strong Copyleft.
              Strong Copyleft licenses enforce sharing, and you can use them when creating open source projects.

            kandi-Reuse Reuse

              drop releases are not available. You will need to build from source code and install.
              Installation instructions, examples and code snippets are available.

            Top functions reviewed by kandi - BETA

            kandi has reviewed drop and discovered the below as its top functions. This is intended to give you an instant insight into drop implemented functionality, and help decide if they suit your requirements.
            • copyfile copies a file
            • main is the main entry point for testing
            • goget runs goget command .
            • cleanFiles removes files from the given list .
            • dropfile is the same as dropfile .
            • drop drops files from source to dest .
            • writeHeader writes a header to w
            • files returns all files found in the given path .
            • license returns the license name for the given directory .
            • pkg returns the name of the package .
            Get all kandi verified functions for this library.

            drop Key Features

            No Key Features are available at this moment for drop.

            drop Examples and Code Snippets

            copy iconCopy
            const dropRightWhile = (arr, func) => {
              let rightIndex = arr.length;
              while (rightIndex-- && !func(arr[rightIndex]));
              return arr.slice(0, rightIndex + 1);
            };
            
            
            dropRightWhile([1, 2, 3, 4], n => n < 3); // [1, 2]
            
              
            copy iconCopy
            const dropWhile = (arr, func) => {
              while (arr.length > 0 && !func(arr[0])) arr = arr.slice(1);
              return arr;
            };
            
            
            dropWhile([1, 2, 3, 4], n => n >= 3); // [3, 4]
            
              
            copy iconCopy
            const dropRight = (arr, n = 1) => arr.slice(0, -n);
            
            
            dropRight([1, 2, 3]); // [1, 2]
            dropRight([1, 2, 3], 2); // [1]
            dropRight([1, 2, 3], 42); // []
            
              
            Drop a blob to the storage
            javadot img4Lines of Code : 26dot img4License : Non-SPDX
            copy iconCopy
            public void dropToPersistantStorage(Message message, Logger logger) {
                try {
            
                  // Get message reference
                  MessageReference messageReference = (MessageReference) message.getMessageHeader().getData();
            
                  // Create a unique name for the   
            Get batch size and drop .
            pythondot img5Lines of Code : 20dot img5License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _get_batched_dataset_attributes(d):
              """Get `batch_size`, `drop_remainder` of dataset."""
              # pylint: disable=protected-access
              assert isinstance(d,
                                (dataset_ops.BatchDataset, batching._MapAndBatchDataset))
              if isinstance(d  

            Community Discussions

            QUESTION

            What is simplest way to prevent frame drop in flutter application on heavy task?
            Asked 2021-Jun-16 at 00:29

            I've ran into problem getting UI lags when this line is running:

            ...

            ANSWER

            Answered 2021-Jun-16 at 00:29

            I don't believe you can use SharedPreferences within an Isolate without support for MethodChannel / accessing platform-specific underlying OS frameworks on iOS / Android.

            You would need to use FlutterIsolate or a similar package to provide that support.

            chunhunghan has a good answer detailing this.

            Alternatively, you could run the crypt.generateKeys() by itself in your Isolate.spawn() call and use the results after in a separate method accessing SharedPreferences. (Assuming that crypt package is also not relying on platform-specific code.)

            Source https://stackoverflow.com/questions/67993518

            QUESTION

            Error when converting string to integer when values are numbers in Pandas data frame
            Asked 2021-Jun-15 at 23:03

            I have a column with the datatype 'object', but it actually contains numbers (408, 415, 510) with no missing values. I want to convert this to integer with the code below, but I get the error: invalid literal for int() with base 10: 'A415' (I added the first line of code after reading other posts, but I get the same error even if I drop the first line of code).

            ...

            ANSWER

            Answered 2021-Jun-15 at 23:03

            Looks like there is a "A415" value in your column. Could be a typo?

            You can check if this is the case by getting a list of the unique values in this pandas column, like below. This is a quick way of knowing if all values look alright.

            Source https://stackoverflow.com/questions/67994419

            QUESTION

            drop a level two column from multi index dataframe
            Asked 2021-Jun-15 at 20:39

            Consider this dataframe:

            ...

            ANSWER

            Answered 2021-Jun-15 at 20:30

            QUESTION

            How do I use a Transaction in a Reactive Flow in Spring Integration?
            Asked 2021-Jun-15 at 18:32

            I am querying a database for an item using R2DBC and Spring Integration. I want to extend the transaction boundary a bit to include a handler - if the handler fails I want to roll back the database operation. But I'm having difficulty even establishing transactionality explicitly in my integration flow. The flow is defined as

            ...

            ANSWER

            Answered 2021-Jun-15 at 18:32

            Well, it's indeed not possible that declarative way since we don't have hook for injecting to the reactive type in the middle on that level.

            Try to look into a TransactionalOperator and its usage from the Java DSL's fluxTransform():

            Source https://stackoverflow.com/questions/67991494

            QUESTION

            how to pass array values to Formik select
            Asked 2021-Jun-15 at 18:30

            I am using Formik for a bunch of admin console forms that I have in my application. So far I did not have this use case.

            My Formik forms use one of 2 custom components, either a Myinputtext(input box) or a MySelect(drop down). I dont have a need for any other components so far. Here is how my Myselect component looks like.

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:19

            You need to map your array and render options inside your select like this:

            Source https://stackoverflow.com/questions/67988620

            QUESTION

            Deleting columns with specific conditions
            Asked 2021-Jun-15 at 16:53

            I have a dataframe output from the python script which gives following output

            Datetime High Low Time 546 2021-06-15 14:30:00 15891.049805 15868.049805 14:30:00 547 2021-06-15 14:45:00 15883.000000 15869.900391 14:45:00 548 2021-06-15 15:00:00 15881.500000 15866.500000 15:00:00 549 2021-06-15 15:15:00 15877.750000 15854.549805 15:15:00 550 2021-06-15 15:30:00 15869.250000 15869.250000 15:30:00

            i Want to remove all rows where time is equal to 15:30:00. tried different things but unable to do. Help please.

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:55

            The way I did was the following,

            First we get the the time we want to remove from the dataset, that is 15:30:00 in this case.

            Since the Datetime column is in the datetime format, we cannot compare the time as strings. So we convert the given time in the datetime.time() format.

            rm_time = dt.time(15,30)

            With this, we can go about using the DataFrame.drop()

            df.drop(df[df.Datetime.dt.time == rm_time].index)

            Source https://stackoverflow.com/questions/67989337

            QUESTION

            How to apply different functions to different columns after groupby like sum and .apply(list)? (Python)
            Asked 2021-Jun-15 at 15:19

            I have a dataframe where I want to group rows based on a column. Some of the columns in the rows I want to sum up and the others I want to aggregate as a list.

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:15

            QUESTION

            How to remove duplicates from a dataframe based on the column with string values
            Asked 2021-Jun-15 at 14:29

            I am trying to remove duplicates based on the column item_id from a dataframe df.

            df :

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:29

            You can apply a function to the column that will make the item_id "uniform", then can drop_duplicates()

            Source https://stackoverflow.com/questions/67988115

            QUESTION

            How to create a working VHDX in Azure CI Build Pipeline?
            Asked 2021-Jun-15 at 14:26

            This question is related to Azure MSIX Build and Package task only has Release and Debug configurations

            We have a WinForms project that has an MSIX installer. Manually, we can successfully create

            1. An MSIXBUNDLE and deploy it to Kudu
            2. An MSIX and deploy it to an Azure VM through a VHDX. We have manually convert the MSIX to a VHDX first

            We are now trying to automate the build and release process to create the VHDX. However, we are getting a blank screen when the VHDX is mounted using a process that we have already validated. The only thing different is the build method (i.e., MSBuild versus VS Publish).

            How do we create a working VHDX in Azure CI Build Pipeline?

            Below is the YAML.

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:26

            Actually, there is nothing wrong with the YAML. The problem was a delay in the virtual machine loading the VHDX. In other words, wait about 5 minutes once the VHDX is mounted before trying to run the application. I am leaving this here in case anyone else runs into this issue.

            Source https://stackoverflow.com/questions/67943648

            QUESTION

            Select last rows based on increasing column value before reset?
            Asked 2021-Jun-15 at 13:21

            I try to write a (postgres) sql query which returns the last rows before a specific numeric column drops below it's preceding value, for multiple services.

            Let's say the given data looks like:

            ...

            ANSWER

            Answered 2021-Jun-15 at 12:28

            Based on your data, you want to see where the values increase from the value on the immediately preceding value for that service. For that, use lag():

            Source https://stackoverflow.com/questions/67986238

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

            Vulnerabilities

            No vulnerabilities reported

            Install drop

            You can download it from GitHub.

            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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