wag | sWAGger - Web API Generator | REST library
kandi X-RAY | wag Summary
kandi X-RAY | wag Summary
sWAGger - Web API Generator
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Top functions reviewed by kandi - BETA
- newGetBooksInput creates a new GetBooksInput .
- GenerateDB generates xdb definitions from swagger .
- generateNewInput generates the input for an operation
- ValidateResponses returns an error if the swagger spec is valid
- asJSType converts a schema to a JSType .
- Runs the swagger spec
- methodDoerCode returns code for swagger spec
- ParamToValidationCode returns the validation code for a parameter
- Validate validates the spec .
- generateOperationHandler generates the swagger code for the swagger spec
wag Key Features
wag Examples and Code Snippets
Lines of Code : 28License : Permissive (Apache-2.0)
Copyinclude wag.mk
WAG_VERSION := latest
generate: wag-generate-deps
$(call wag-generate-mod,./swagger.yml, $(PKG))
responses:
BadRequest:
description: Bad Request
schema:
$ref: "#/definitions/BadRequest"
InternalError:
descript import * as SampleClientLib from '@clever/sample-client-lib-js';
const sampleClient = new SampleClientLib({address: "https://url_of_your_service:port"}); // Explicit url
// OR
const sampleClient = new SampleClientLib({discovery: true}); // Using dis // Create new controller with all the swagger functions implemented
c := controller.New()
// Create new *mux.Router
routerHandler := server.NewRouter(c)
// Inject our own authorize endpoint to wrap around the swagger handler
router.Methods("GET").P Community Discussions
Trending Discussions on wag
QUESTION
When using mutate-across, I have understood that the .names argument may be used to name the output columns. If the desired column names are simply a truncation of the original names, how does one perform the truncation? In the example below, I have used rename_with to achieve the desired outcome and I am wondering if the .names argument could be directly tweaked to produce the same result.
ANSWER
Answered 2021-Jun-14 at 05:09You can pass the function to apply as string in .names -
QUESTION
I am wondering if there's a way to bind a dataframe on the left hand side instead of putting them on the right hand side through dplyr(). This is because when I am working on a long dplyr() cleaning on the second dataset and the final step is to bind the dataset to the first dataset (main dataset). If I use bind_cols(), the second dataset is always joined on the right hand side. Is there a way I can force the first dataset to join on the left hand side of the second dataset in a long dplyr script.
- Obviously, I can make one line syntax indepdently and start with the first dataset and use
bind_cols()to bind it with the second dataset. I am just wondering if there's anyting I can do at the end of a long dplyr script?
ANSWER
Answered 2021-Jun-13 at 15:33See Introducing magrittr:
When the LHS is needed at a position other than the first, one can use the dot,
., as placeholder.
Try:
QUESTION
I have a set of Fisher's discriminant linear functions that I need to multiply against some test data. Both data files are in the form of two matrices (variables lined up to match variable order), so I need to multiply them together.
Here is some example test data, which I've added a constant=1 variable (you'll see why when you we get to the coefficients)
ANSWER
Answered 2021-May-28 at 16:28Are you just looking for the inner product?
QUESTION
Example using mtcars:
...ANSWER
Answered 2021-May-17 at 01:51If there is string of patterns, we can create a single string by collapsing with paste
QUESTION
I have a dataset as below and I want to create a new row that contains the values of colnames(df). Many thanks in advance.
ANSWER
Answered 2021-May-15 at 16:57rbind is what you need:
QUESTION
I am a newbie in data analysis. I wish to know how to boxplot multiple columns (x-axis = Points, Score, Weigh) in a single graph and make the y-axis as a standardized scale for comparison. I have tried and couldn't understand the code (Python+Pandas+Seaborn) for this. Help me out guys. The dataset for the same is as follows:
Cars Points Score Weigh 0 Mazda RX4 3.90 2.620 16.46 1 Mazda RX4 Wag 3.90 2.875 17.02 2 Datsun 710 3.85 2.320 18.61 3 Hornet 4 Drive 3.08 3.215 19.44 4 Hornet Sportabout 3.15 3.440 17.02 5 Valiant 2.76 3.460 20.22 6 Duster 360 3.21 3.570 15.84 7 Merc 240D 3.69 3.190 20.00 8 Merc 230 3.92 3.150 22.90 9 Merc 280 3.92 3.440 18.30 10 Merc 280C 3.92 3.440 18.90 11 Merc 450SE 3.07 4.070 17.40 12 Merc 450SL 3.07 3.730 17.60 13 Merc 450SLC 3.07 3.780 18.00 14 Cadillac Fleetwood 2.93 5.250 17.98 15 Lincoln Continental 3.00 5.424 17.82 16 Chrysler Imperial 3.23 5.345 17.42 17 Fiat 128 4.08 2.200 19.47 18 Honda Civic 4.93 1.615 18.52 19 Toyota Corolla 4.22 1.835 19.90 20 Toyota Corona 3.70 2.465 20.01 21 Dodge Challenger 2.76 3.520 16.87 22 AMC Javelin 3.15 3.435 17.30 23 Camaro Z28 3.73 3.840 15.41 24 Pontiac Firebird 3.08 3.845 17.05 25 Fiat X1-9 4.08 1.935 18.90 26 Porsche 914-2 4.43 2.140 16.70 27 Lotus Europa 3.77 1.513 16.90 28 Ford Pantera L 4.22 3.170 14.50 29 Ferrari Dino 3.62 2.770 15.50 30 Maserati Bora 3.54 3.570 14.60 31 Volvo 142E 4.11 2.780 18.60My output should look something like: Output Boxplot Graph
...ANSWER
Answered 2021-May-14 at 04:20boxplot = df.boxplot(column=['Points', 'Score', 'Weight'])
might work here
QUESTION
I am not comfortable with Python - much less intimidated and at ease with R. So indulge me on a silly question that is taking me a ton of searches without success.
I want to fit in a regression model with sklearn both with OLS and lasso. In particular, I like the mtcars dataset that is so easy to call in R, and, as it turns out, also very accessible in Python:
...ANSWER
Answered 2021-May-09 at 14:46Here are two ways - unsatisfactory, especially because the variables labels seem to be gone once the regression gets going:
QUESTION
I want to understand why I am not getting a probability distribution when I use a simulation from a random normal distribution:
...ANSWER
Answered 2021-May-03 at 22:17Unless you absolutely have to run simulations, you can use the pnorm() function to calculate the probabilities precisely.
We assume that X~N(u1,s1) and Y~N(u2,s2) where s1 and s2 are variances.
Also we know that P(X, where X-Y ~ N(u1-u2,s1+s2). From this, we can calculate the probabilities precisely:
QUESTION
I have a result DF that looks like this:
...ANSWER
Answered 2021-Apr-29 at 20:29Try with filter and then groupBy+ aggregate
QUESTION
I am attempting to use the arrow package (relatively recently implemented) DataSet API to to read a directory of files into memory, and leverage the c++ back-end to filter rows and columns. I would like to use the arrow package functions directly, not the wrapper functions for dplyr style verbs. These functions are very early in their lifecycle as of today, so I'm having a hard time tracking down some examples that illustrate the syntax.
In order to understand the syntax, I have created a very minimal example for testing. The first two queries work as expected.
...ANSWER
Answered 2021-Apr-28 at 19:00The documentation is quite awful on this. But a bit of trying and testing actually got me something that might lead you to the right answer. The problem I found was with Scalar$create and knowing which function to name to use:
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