binary | Generic and fast binary serializer for Go | JSON Processing library
kandi X-RAY | binary Summary
kandi X-RAY | binary Summary
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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of binary
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binary Examples and Code Snippets
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
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.
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
Trending Discussions on binary
QUESTION
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 21:08You can use a lambda
function on each row and then convert the result to a dict
like so:
QUESTION
I created a new Quarkus app using the following command:
...ANSWER
Answered 2021-Jun-15 at 15:18Please 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
QUESTION
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 14:21On 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:
- Open the Command Prompt (Type in CMD into the Windows search)
- Enter:
taskkill /F /IM "qemu-system-x86_64.exe" /T
Explanation of the taskkill
command:
QUESTION
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 11:35first make one column for time:
QUESTION
I have few HTML files which has images stored in binary format like below
...ANSWER
Answered 2021-Jun-15 at 10:21Try this:
QUESTION
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 14:44I 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.
QUESTION
Say I have an MLP that looks like:
...ANSWER
Answered 2021-Jun-15 at 02:43In 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
QUESTION
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 02:32Normally, 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.
QUESTION
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 13:05Inside your requirements.txt change scipy line with this scipy==1.6.0 and save. Now retry pip installation.
QUESTION
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 22:42The 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:
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