12 Application(s) results for #test
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ZPretty

Wrap JSON to multi lines / Test ISJSON

Robert Cemper
Docker
4.8 (2)25 Jan, 2026 451 89

interfaces-diskspace-validation

A tool for estimating interfaces disk space and purge validation

N
Netanel Frankel
Docker
IPM
5.0 (1)25 Mar, 2024 354 19

InterSystems Ideas Waiting to be Implemented

AI extensibility Prompt keyword for Class and Method implementation. Also Prompt macro generator.

To accelerate capability of growing code generation. This proposal suggests new extensibility facilities and hooks that can be democratized to community and / or fulfilled by commercial partners. To add Training metadata to Refine a Large Language Model for code, a "Prompt Input" is associated with an expected "Code Output", as part of a class definition. This provide structured keywords to describe: * The expected output * And / Or Chain-of-thought to generate the correct output | /// The following Prompt describes the full implementation of the class Class alwo.Calculator [Abstract, Prompt = "Provides methods to Add, Subtract, Multiply and divide given numbers." ] { /// The following Prompt describes the full implementation of the method ClassMethod Add(arg1 As %Float, arg2 As %Float) As %Float [ Prompt ="Add numeric arguments and return result." ] { return arg1 + arg2 } ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { &Prompt("Subtract numeric arguments and return result") ) } | The Prompt macro generates code based on the context of the method it is within. Once resolved, it automatically comments out the processed macro. | ClassMethod Subtract(arg1 as %Float, arg2 As %Float) { //&Prompt("Subtract arguments and return the result") return arg1 - arg2 //&Prompt("Model alwogen-objectscript-7.1.3") ) | The generator leveraged at compilation time could be configured in a similar way to how source control is configured for a namespace. Configuration could lock / exclude packages from being processed in this way. A "\prompt" compilation flag could be used to control the default environment behavior and editor compilation behavior. For example to force reprocessing of previously resolved prompts due to a newer more capable version of code Large Language Model, then a "\prompt=2" could be applied. Different models or third-party services could be applied depending the language of the given method. When redacting source code by "deployment", the existing "deploy" facility could be extended to also ensure removal of "Prompt" metadata from code.

A
by Alex Woodhead

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workshop-py-performance

Performance test among databases using Ptyhon

Luis Angel Pérez Ramos
Docker
5.0 (2)29 Dec, 2023 249

irisapitester

Docker microservice with InterSystems IRIS + Newman to test Apis

D
Daniel Aguilar
Docker
Python
IPM
5.0 (2)20 Sep, 2023 448

iris-tripleslash

Generate unit test cases from the class documentation

Henry Pereira
Docker
IPM
5.0 (2)13 Feb, 2023 551 25

test-data

App to create test-data, as much as you need

O
Oliver Wilms
Docker
Python
IPM
4.5 (2)28 Jan, 2023 454 12

SendComplexMessageFromService

IRIS Integration testing helper. Send complex deep objects as XML from Production Services

A
Alex Woodhead
IPM
4.8 (2)17 Nov, 2022 199 6

interoperability-test

Unit Test Interoperability production interface

O
Oliver Wilms
Docker
IPM
5.0 (1)15 Sep, 2022 436 12

interoperability-manager

Remove a Production Item with two clicks

O
Oliver Wilms
Docker
IPM
5.0 (1)10 Jul, 2022 363 20

iris-ci

InterSystems IRIS image for running unit tests. Useful for CIs, including GitHub Actions.

R
Rubens Silva
Docker
3.0 (1)23 Mar, 2020 311

iris-ci-demo

A demonstration of how IRIS-CI works.

R
Rubens Silva
Docker
3.0 (1)23 Mar, 2020 164

Adding tools in Studio Caché Intersystems

Adding tools in Studio

T
Tiago Ribeiro
2.0 (1)15 Oct, 2018 220