rye | tiny http middleware for Golang with added handlers | Runtime Evironment library
kandi X-RAY | rye Summary
kandi X-RAY | rye Summary
A simple library to support http services. Currently, rye provides a middleware handler which can be used to chain http handlers together while providing statsd metrics for use with DataDog or other logging aggregators. In addition, rye comes with various pre-built middleware handlers for enabling functionality such as CORS and rate/CIDR limiting.
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Top functions reviewed by kandi - BETA
- The main entry point
- newAccessTokenHandler returns an access token handler
- stash context
- Handle returns a http . Handler that invokes the given handlers .
- parseBasicAuth extracts username and password from a string .
- inCIDRs checks if a list of CIDR is in the list .
- inCIDR checks if an IP address is in a valid IP address .
- NewMiddlewareAuth returns an auth middleware .
- errorHandler is an internal error handler
- getFuncName returns the name of the function .
rye Key Features
rye Examples and Code Snippets
Community Discussions
Trending Discussions on rye
QUESTION
I have some columns titles essay 0-9, I want to iterate over them count the words and then make a new column with the number of words. so essay0 will get a column essay0_num with 5 if that is how many words it has in it.
so far i got cupid <- cupid %>% mutate(essay9_num = sapply(strsplit(essay9, " "), length))
to count the words and add a column but i don't want to do it one by one for all 10.
i tried a for loop:
...ANSWER
Answered 2022-Apr-08 at 04:54Use across() to apply the same function to multiple columns:
QUESTION
I'm writing a chunk of code to check the signature
My code below works if r and s are positive if not the verify fails.
My code is
...ANSWER
Answered 2022-Mar-29 at 11:55The reason of the issue is not that r and/or s start with a byte >= 0x80, but that the message messNOT is UTF-8 encoded during verification.
The verification for the problematic message messNOT is successful if messNOT is not UTF-8 encoded but hex decoded. In contrast, for the working message messYES, verification is successful if messYES is UTF-8 encoded.
Since both messages are UTF-8 encoded in the posted code, this explains why the verification of messNOT fails while that of messYES succeeds.
In order for verification to succeed for both messages, the simplest way is to pass the message as byte[] in verifySignature():
QUESTION
I created a function in js that lets me choose a random book from a list.
...ANSWER
Answered 2022-Feb-21 at 18:43First, your button needs to call a function - not console.log - for example:
Click me!
Then you need that function. There are many ways to do this, but an easy way would be to set your books as an array and then use the function to pick a random element from the array and use innerHTML to display it.
The element on the page to show the picked book:
The book array:
QUESTION
I have a bunch of .json files that I am trying to access. I need to calculate the growing season of a particular crop based on the planting and harvest dates.
Problem: With the following code, I get this error: AttributeError: Can only use .dt accessor with datetimelike values
Code:
...ANSWER
Answered 2022-Jan-25 at 21:12I was able to make it work. Here is the updated code. Right after pd.concat, the following code helped:
QUESTION
I tried to cluster my dataset using K-mean, but there is a categorical data in column 9; so when I ran k-mean it had an error like this:
...ANSWER
Answered 2021-Dec-17 at 17:31To solve your specific issue, you can generate dummy variables to run your desired clustering.
One way to do it is using the dummy_columns() function from the fastDummies package.
QUESTION
I ran multiple imputation to impute missing data for 2 variables of a data frame, then I got a new data frame (with 2 columns for 2 imputed variables).
Now, I want to replace the 2 columns in the original data frame with the two newly imputed columns from my new dataframe. What should I do?
Original data frame new data frame for imputed variables
This is the code I used. Only 2 columns in this data frame are missing data, so I only imputed those two. Is that ok? Can you please suggest me a better way?
...ANSWER
Answered 2021-Dec-14 at 22:53Updated
As @dcarlson recommended, you can run mice on the entire dataframe, then you can use complete to get the whole output dataframe. Then, you can join the new data with your original dataframe.
QUESTION
I am trying to write a function join :: [[a]] -> [[a]] that joins the last character of a list within a list with the first character of a list within a list.
ANSWER
Answered 2021-Nov-25 at 13:01Here's a solution with higher-order functions, working in the whole data-manipulation paradigm:
QUESTION
I have a dataset, where I've already created separate columns for cocktail ingredients, so one ingredient is shown in one column. Now I have variables like this:
...ANSWER
Answered 2021-Nov-19 at 19:05Here is a starting point how you could achieve your task:
QUESTION
When I run the following code:
...ANSWER
Answered 2021-Oct-25 at 13:55You just need to make data into a DataFrame first:
QUESTION
I have the following dataframe:
...ANSWER
Answered 2021-Oct-21 at 15:22- Use your
dict1to make a new DataFrame with the same index & columns asdf:
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