binary | Generic and fast binary serializer for Go | JSON Processing library

 by   kelindar Go Version: v1.0.17 License: MIT

kandi X-RAY | binary Summary

kandi X-RAY | binary Summary

binary is a Go library typically used in Utilities, JSON Processing applications. binary has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

This repository contains a fast binary packer for Golang, this allows to encode/decode arbtitrary golang data structures of variable size. Documentation can be found on
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            kandi-support Support

              binary has a low active ecosystem.
              It has 147 star(s) with 17 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 5 have been closed. On average issues are closed in 111 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of binary is v1.0.17

            kandi-Quality Quality

              binary has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              binary 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

              binary releases are available to install and integrate.
              Installation instructions are not available. Examples and code snippets are available.

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            binary Key Features

            No Key Features are available at this moment for binary.

            binary Examples and Code Snippets

            Wrapper for binary asserts .
            pythondot img1Lines of Code : 73dot img1License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def _binary_assert(sym, opname, op_func, static_func, x, y, data, summarize,
                               message, name):
              """Generic binary elementwise assertion.
            
              Implements the behavior described in _binary_assert_doc() above.
              Args:
                sym: Mathematic  
            Finds optimal binary search tree .
            pythondot img2Lines of Code : 67dot img2License : Permissive (MIT License)
            copy iconCopy
            def find_optimal_binary_search_tree(nodes):
                """
                This function calculates and prints the optimal binary search tree.
                The dynamic programming algorithm below runs in O(n^2) time.
                Implemented from CLRS (Introduction to Algorithms) book.
              
            Decorator to register a handler function for binary elements .
            pythondot img3Lines of Code : 66dot img3License : Non-SPDX (Apache License 2.0)
            copy iconCopy
            def dispatch_for_binary_elementwise_assert_apis(x_type, y_type):
              """Decorator to override default implementation for binary elementwise assert APIs.
            
              The decorated function (known as the "elementwise assert handler")
              overrides the default imple  

            Community Discussions

            QUESTION

            Creating custom lexicon from the column of dataframe?
            Asked 2021-Jun-15 at 21:08

            I am trying to make a custom lexicon for text analysis using python. I have a data frame with the binary categorization of emotion. If the value is 1, I want to put the column name in the lexicon for each row and wrap them with ['column name']. For example,

            I have a sample data frame as below:

            ...

            ANSWER

            Answered 2021-Jun-15 at 21:08

            You can use a lambda function on each row and then convert the result to a dict like so:

            Source https://stackoverflow.com/questions/67993404

            QUESTION

            Quarkus JWT authentication doesn't work as a native app
            Asked 2021-Jun-15 at 15:18

            I created a new Quarkus app using the following command:

            ...

            ANSWER

            Answered 2021-Jun-15 at 15:18

            Please enable the quarkus-smallrye-jwt TRACE logging to see why the tokens are rejected. And indeed, as you have also found out, https protocol needs to be enabled in the native image, which can be done, as you have shown :-), by adding --enable-url-protocols=https to the native profile's properties in pom.xml.

            This PR will ensure adding it manually won't be required.

            thanks

            Source https://stackoverflow.com/questions/67977862

            QUESTION

            Android Studio Flutter - WARNING: Another emulator is still running - windows 10
            Asked 2021-Jun-15 at 14:21

            I am having problems restarting the emulator after turning it off. Restarting android studio - doesn't help. Restarting my computer helps. I also cannot find and [stop this process] through the task manager. So that I can not reboot. By the way, the error is displayed with a typo. Help. Who faced such a problem, how to solve it?

            ...

            ANSWER

            Answered 2021-Jun-15 at 14:21

            On Windows, the software that runs the Android Emulator is called "qemu-system-x86_64.exe".

            Try to kill this software. You can use the built-in taskkill utility from within the Command Prompt:

            1. Open the Command Prompt (Type in CMD into the Windows search)
            2. Enter: taskkill /F /IM "qemu-system-x86_64.exe" /T

            Explanation of the taskkill command:

            Source https://stackoverflow.com/questions/67987153

            QUESTION

            Plot dates in Pandas with line connecting their duration
            Asked 2021-Jun-15 at 11:35

            I have a dataframe that contains two columns with dates astype Timestamps. I would like to plot a figure where the time between those dates is 1 and the time outside those dates is 0: kinda like an 'active on/off' binary situation. I have discretised and indexed the whole day in intervals of 1 minute. After that, I am checking if the index is between time1 and time2, if it is then I am putting 1 to a new column else 0. This works but I think it's an overkill

            ...

            ANSWER

            Answered 2021-Jun-15 at 11:35

            first make one column for time:

            Source https://stackoverflow.com/questions/67983448

            QUESTION

            How to extract an Image from HTML file using VB.net
            Asked 2021-Jun-15 at 10:21

            I have few HTML files which has images stored in binary format like below

            ...

            ANSWER

            Answered 2021-Jun-15 at 10:21

            QUESTION

            Dynamic Library error while using Tensorflow with GPU
            Asked 2021-Jun-15 at 10:13

            I am programming in Python 3.8 with Tensorflow installed along with my natural language processing project. When I want to begin the training phase, I get this message right before I begin...

            ...

            ANSWER

            Answered 2021-Mar-10 at 14:44

            I would suggest you to use conda (Ananconda/Miniconda) to create a separate environment and install tensorflow-gpu, cudnn and cudatoolkit. Miniconda has a much smaller footprint than Anaconda. I would suggest you to install Miniconda if you do not have conda already.

            Quick Installtion

            Source https://stackoverflow.com/questions/66553987

            QUESTION

            How to add several binary classifiers at the end of a MLP with Keras?
            Asked 2021-Jun-15 at 02:43

            Say I have an MLP that looks like:

            ...

            ANSWER

            Answered 2021-Jun-15 at 02:43

            In your problem you are trying to use Sequential API to create the Model. There are Limitations to Sequential API, you can just create a layer by layer model. It can't handle multiple inputs/outputs. It can't be used for Branching also.

            Below is the text from Keras official website: https://keras.io/guides/functional_api/

            The functional API makes it easy to manipulate multiple inputs and outputs. This cannot be handled with the Sequential API.

            Also this stack link will be useful for you: Keras' Sequential vs Functional API for Multi-Task Learning Neural Network

            Now you can create a Model using Functional API or Model Sub Classing.

            In case of functional API Your Model will be

            Assuming Output_1 is classification with 17 classes Output_2 is calssification with 2 classes and Output_3 is regression

            Source https://stackoverflow.com/questions/67977986

            QUESTION

            image distance transform different xyz voxel sizes
            Asked 2021-Jun-15 at 02:32

            I would like to find minimum distance of each voxel to a boundary element in a binary image in which the z voxel size is different from the xy voxel size. This is to say that a single voxel represents a 225x110x110 (zyx) nm volume.

            Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt (https://docs.scipy.org/doc/scipy-0.14.0/reference/generated/scipy.ndimage.morphology.distance_transform_edt.html) but this gives the assume that isotropic sizes of the voxel:

            ...

            ANSWER

            Answered 2021-Jun-15 at 02:32

            Normally, I would do something with scipy.ndimage.morphology.distance_transform_edt but this gives the assume that isotropic sizes of the voxel:

            It does no such thing! You are looking for the sampling= parameter. From the latest version of the docs:

            Spacing of elements along each dimension. If a sequence, must be of length equal to the input rank; if a single number, this is used for all axes. If not specified, a grid spacing of unity is implied.

            The wording "sampling" or "spacing" is probably a bit mysterious if you think of pixels as little squares/cubes, and that is probably why you missed it. In most situations, it is better to think of pixels as point samples on a grid, with fixed spacing between samples. I recommend Alvy Ray's a pixel is not a little square for a better understanding of this terminology.

            Source https://stackoverflow.com/questions/67961571

            QUESTION

            Why do I get error "Could not find a version that satisfies the requirement scipy==1.5.3" when running "pip install -r requirements.txt"?
            Asked 2021-Jun-15 at 02:20

            I am trying to install all needed modules for an existing Django project. When I run pip install -r requirements.txt I get the following errors:

            ...

            ANSWER

            Answered 2021-Jan-26 at 13:05

            Inside your requirements.txt change scipy line with this scipy==1.6.0 and save. Now retry pip installation.

            Source https://stackoverflow.com/questions/65900701

            QUESTION

            How to plot multiple subplots using for loop?
            Asked 2021-Jun-14 at 22:42

            I am very new to Python. I have a dummy dataset (25 X 6) for practice. Out of 6 columns, I have 1 target variable (binary) and 5 independent variables (4 categorical and 1 numeric). I am trying to view my target distribution by the values within each of the 4 categorical columns (and without writing code for separate columns - but with a for loop usage so that I can scale it up for bigger datasets in the future). Something like below:

            I am already successful in doing that (image above), but since I could only think of achieving this by using counters inside a for loop, I don't think this is Python elegant, and pretty sure there could be a better way of doing it (something like CarWash.groupby([i,'ReversedPayment']).size().reset_index().pivot(index = i,columns = 'ReversedPayment',values=0).axes.plot(kind='bar', stacked=True). I am struggling in handling this ax = setting) Below is my non-elegant Python code (not scalable):

            ...

            ANSWER

            Answered 2021-Jun-14 at 22:42

            The best way to make your code less repetitive for many potential columns is to make a function that plots on an axis. That way you can simply adjust with 3 parameters basically:

            Source https://stackoverflow.com/questions/67974796

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

            Vulnerabilities

            No vulnerabilities reported

            Install binary

            You can download it from GitHub.

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