Closed alshan closed 4 years ago
Jupyter notebook, Kotlin kernel.
I'm getting an error when evaluating code:
%use lets-plot(apiVersion=0.0.20-SNAPSHOT) %use numpy(v=0.1.4) import org.jetbrains.numkt.core.* import org.jetbrains.numkt.math.* import org.jetbrains.numkt.random.Random import org.jetbrains.numkt.*
val cov0 = array<Double>(listOf(listOf(1, -.8), listOf(-.8, 1))) val cov1 = array<Double>(listOf(listOf(1, .8), listOf(.8, 1))) val cov2 = array<Double>(listOf(listOf(10, .1), listOf(.1, .1))) val xy0 = Random.multivariateNormal(mean=array(listOf(-2,0)), cov=cov0, size=intArrayOf(400)).transpose()
Output:
org.jetbrains.numkt.NumKtException: <class 'ValueError'>: check_valid must equal 'warn', 'raise', or 'ignore' mtrand.numpy.random.mtrand.RandomState.multivariate_normal(mtrand.pyx:4086) org.jetbrains.numkt.Interpreter.callFunc$kotlin_numpy(Native Method) org.jetbrains.numkt.UtilsKt.callFunc(Utils.kt:59) org.jetbrains.numkt.UtilsKt.callFunc$default(Utils.kt:57) org.jetbrains.numkt.random.Random$Companion.multivariateNormal(Random.kt:532) org.jetbrains.numkt.random.Random$Companion.multivariateNormal$default(Random.kt:530) Line_11_jupyter.<init>(Line_11.jupyter.kts:8) sun.reflect.NativeConstructorAccessorImpl.newInstance0(Native Method) sun.reflect.NativeConstructorAccessorImpl.newInstance(NativeConstructorAccessorImpl.java:62) sun.reflect.DelegatingConstructorAccessorImpl.newInstance(DelegatingConstructorAccessorImpl.java:45) java.lang.reflect.Constructor.newInstance(Constructor.java:423) kotlin.script.experimental.jvm.BasicJvmScriptEvaluator.evalWithConfigAndOtherScriptsResults(BasicJvmScriptEvaluator.kt:96) kotlin.script.experimental.jvm.BasicJvmScriptEvaluator.invoke$suspendImpl(BasicJvmScriptEvaluator.kt:41) kotlin.script.experimental.jvm.BasicJvmScriptEvaluator.invoke(BasicJvmScriptEvaluator.kt) kotlin.script.experimental.jvm.BasicJvmReplEvaluator.eval(BasicJvmReplEvaluator.kt:51) org.jetbrains.kotlin.jupyter.ReplForJupyterImpl$doEval$resultWithDiagnostics$1.invokeSuspend(repl.kt:475) kotlin.coroutines.jvm.internal.BaseContinuationImpl.resumeWith(ContinuationImpl.kt:33) kotlinx.coroutines.DispatchedTask.run(Dispatched.kt:238) kotlinx.coroutines.EventLoopImplBase.processNextEvent(EventLoop.kt:116) kotlinx.coroutines.BlockingCoroutine.joinBlocking(Builders.kt:80) kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking(Builders.kt:54) kotlinx.coroutines.BuildersKt.runBlocking(Unknown Source) kotlinx.coroutines.BuildersKt__BuildersKt.runBlocking$default(Builders.kt:36) kotlinx.coroutines.BuildersKt.runBlocking$default(Unknown Source) org.jetbrains.kotlin.jupyter.ReplForJupyterImpl.doEval(repl.kt:475) org.jetbrains.kotlin.jupyter.ReplForJupyterImpl.eval(repl.kt:345) org.jetbrains.kotlin.jupyter.ProtocolKt$shellMessagesHandler$res$1.invoke(protocol.kt:143) org.jetbrains.kotlin.jupyter.ProtocolKt$shellMessagesHandler$res$1.invoke(protocol.kt) org.jetbrains.kotlin.jupyter.ProtocolKt.evalWithIO(protocol.kt:356) org.jetbrains.kotlin.jupyter.ProtocolKt.shellMessagesHandler(protocol.kt:142) org.jetbrains.kotlin.jupyter.IkotlinKt.kernelServer(ikotlin.kt:104) org.jetbrains.kotlin.jupyter.IkotlinKt.main(ikotlin.kt:59)
I'm not sure if something wrong with my code or this is numpy-kotlin issue.
Trying to reproduce this notebook (py): https://nbviewer.jupyter.org/github/JetBrains/lets-plot/blob/master/docs/examples/jupyter-notebooks/density_2d.ipynb
Since numpy 1.17, the multivariate_normal method has default values for the check_valid and tol parameters. In kotlin-numpy, for these parameters None is default.
multivariate_normal
check_valid
tol
Jupyter notebook, Kotlin kernel.
I'm getting an error when evaluating code:
Output:
I'm not sure if something wrong with my code or this is numpy-kotlin issue.
Trying to reproduce this notebook (py): https://nbviewer.jupyter.org/github/JetBrains/lets-plot/blob/master/docs/examples/jupyter-notebooks/density_2d.ipynb