optimization
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Mar 31, 2022 - JavaScript
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With Closure Compiler v20210106 and the following flags:
--language_in=ECMASCRIPT_NEXT
--compilation_level ADVANCED
--js tmp/wrap.js
This works fine:
/**
* @param {string} str
* @param {string} [prefix=aa]
* @param {string} [suffix=bb]
*/
function wrap1(str, prefix="aa", suffix="bb") {
return prefix + str + suffix;
}
window.wrap1 = wrap-
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Apr 14, 2022 - Python
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Sep 2, 2020 - LLVM
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May 23, 2021 - Java
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The Matlab version of CVX [1,2] offers the options of calling the Huber function with either huber(x,M) or huber(x,M,t). The latter computes t+t*huber(x/t,M), which is useful for concomitant scale estimation [3]. It would be nice to have the same option with cvxpy.
1 - https://github.com/cvxr/CVX/blob/master/functions/huber.m
2
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Mar 11, 2022 - C
in my old project , using webpack 1.x. And I use esbuild-loader replace babel-loader will print error
` building for production.../Users/wanglihui/WebstoreProject/onionfph5/project/node_modules/esbuild-loader/dist/plugin.js:12
compiler.hooks.thisCompilation.tap('esbuild', compilation => {
^
TypeError: Cannot read property 'thisCompilation' of undefined
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Apr 14, 2022 - Java
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Nov 7, 2021 - Java
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Oct 14, 2019 - JavaScript
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Feb 3, 2022 - Python
When jimplifying com.reddit.frontpage-214190.apk(Reddit v. 2.26.2), the following exception is thrown:
Exception in thread "main" Unexpected type null
at soot.jimple.toolkits.typing.integer.ClassHierarchy.typeNode(ClassHierarchy.java:152)
at soot.jimple.toolkits.typing.integer.TypeResolver.typeVariable(TypeResolver.java:121)
at soot.jimple.toolkits.typing.integer.ConstraintCollecto
.three {
background-color: var(--my-var, var(--my-background, pink));
--border-color: linear-gradient(to top, var(--secondary-color), var(--used-color, white));
}-
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Jun 23, 2021 - C++
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Mar 23, 2018 - JavaScript
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Feb 11, 2022 - JavaScript
Need to create /etc/hosts entry for non-wildcard alias domains in site create and site update.
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Mar 30, 2022 - TypeScript
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Feb 3, 2021
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Description
There are multiple user requests of using GraphNN data (node and edge lists) as sample batches into a custom RLlib model.
https://discuss.ray.io/t/rllib-variable-length-observation-spaces-without-padding/726
https://discuss.ray.io/t/working-with-graph-neural-networks-varying-state-space/5730/2
The recommended method today is to use Repeated observation space and VariableVal