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docs/yo/docs/index.md
* **Irọrun**: A kọ kí ó le rọrun láti lo àti láti kọ ẹkọ nínú rè. Ó máa fún ọ ní àkókò díẹ̀ látı ka àkọsílẹ. * **Ó kúkurú ní kikọ**: Ó dín àtúnkọ àti àtúntò kóòdù kù. Ìkéde àṣàyàn kọ̀ọ̀kan nínú rẹ̀ ní ọ̀pọ̀lọpọ̀ àwọn ìlò. O ṣe iranlọwọ láti má ṣe ní ọ̀pọ̀lọpọ̀ àṣìṣe.
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/symbols/KtFirClassInitializerSymbol.kt
context(KtAnalysisSession) override fun createPointer(): KtSymbolPointer<KtSymbol> = withValidityAssertion { KtPsiBasedSymbolPointer.createForSymbolFromSource<KtClassInitializerSymbol>(this)?.let { return it } TODO("Figure out how to create such a pointer. Should we give an index to class initializers?") } override val symbolKind: KtSymbolKind get() = withValidityAssertion { KtSymbolKind.CLASS_MEMBER }
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docs/en/docs/tutorial/security/simple-oauth2.md
# Simple OAuth2 with Password and Bearer Now let's build from the previous chapter and add the missing parts to have a complete security flow. ## Get the `username` and `password` We are going to use **FastAPI** security utilities to get the `username` and `password`. OAuth2 specifies that when using the "password flow" (that we are using) the client/user must send a `username` and `password` fields as form data.
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docs/en/docs/async.md
Let's see that phrase by parts in the sections below: * **Asynchronous Code** * **`async` and `await`** * **Coroutines** ## Asynchronous Code Asynchronous code just means that the language 💬 has a way to tell the computer / program 🤖 that at some point in the code, it 🤖 will have to wait for *something else* to finish somewhere else. Let's say that *something else* is called "slow-file" 📝.
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docs/ja/docs/deployment/https.md
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analysis/analysis-api-fe10/src/org/jetbrains/kotlin/analysis/api/descriptors/symbols/psiBased/KtFe10PsiDefaultBackingFieldSymbol.kt
} override fun createPointer(): KtSymbolPointer<KtBackingFieldSymbol> = withValidityAssertion { KtPsiBasedSymbolPointer.createForSymbolFromPsi<KtPropertySymbol>(propertyPsi) ?.let(::KtFe10PsiDefaultBackingFieldSymbolPointer) ?: KtFe10NeverRestoringSymbolPointer() } override val returnType: KtType get() = withValidityAssertion { owningProperty.returnType }
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirCompileTimeConstantProvider.kt
} override fun evaluateAsAnnotationValue(expression: KtExpression): KtAnnotationValue? = (expression.getOrBuildFir(firResolveSession) as? FirExpression)?.let { FirAnnotationValueConverter.toConstantValue(it, analysisSession.firSymbolBuilder) } private fun evaluateFir( fir: FirElement?, sourcePsi: KtExpression,
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build-logic-commons/basics/src/main/kotlin/gradlebuild/basics/classanalysis/ClassGraph.kt
val classes: MutableMap<String, ClassDetails> = linkedMapOf() val entryPoints: MutableSet<ClassDetails> = linkedSetOf() val shadowPackagePrefix = shadowPackage.takeIf(String::isNotEmpty) ?.let { it.replace('.', '/') + "/" } ?: "" operator fun get(className: String) = classes.computeIfAbsent(className) {
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SECURITY.md
vulnerabilities. ## Security properties of execution modes TensorFlow has several execution modes, with Eager-mode being the default in v2. Eager mode lets users write imperative-style statements that can be easily inspected and debugged and it is intended to be used during the development phase. As part of the differences that make Eager mode easier to debug, the [shape
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docs/select/README.md
### 2. Install boto3 Install `aws-sdk-python` from AWS SDK for Python official docs [here](https://aws.amazon.com/sdk-for-python/) ### 3. Example
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