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.typos.toml
Aditya Manthramurthy <******@****.***> 1713453302 -0700
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.github/pull_request_template.md
contribution quickly and easily: - [ ] Make sure there is a [JIRA issue](https://issues.apache.org/jira/browse/MNG) filed for the change (usually before you start working on it). Trivial changes like typos do not require a JIRA issue. Your pull request should address just this issue, without pulling in other changes. - [ ] Each commit in the pull request should have a meaningful subject line and body.
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.github/pull_request_template.md
https://github.com/google/guava/wiki/HowToContribute#code-contributions and https://github.com/google/guava/blob/master/CONTRIBUTING.md before sending a pull request. We generally welcome PRs for fixing trivial bugs or typos, but please refrain from sending a PR with significant changes unless explicitly requested.
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docs/en/docs/release-notes.md
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CONTRIBUTING.md
to the core. * As every PR requires several CPU/GPU hours of CI testing, we discourage submitting PRs to fix one typo, one warning,etc. We recommend fixing the same issue at the file level at least (e.g.: fix all typos in a file, fix all compiler warnings in a file, etc.) * Tests should follow the [testing best practices](https://www.tensorflow.org/community/contribute/tests)
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CHANGELOG/CHANGELOG-1.17.md
- When registering with a 1.17+ API server, MutatingWebhookConfiguration and ValidatingWebhookConfiguration...
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docs/en/docs/python-types.md
These types that have internal types are called "**generic**" types. And it's possible to declare them, even with their internal types. To declare those types and the internal types, you can use the standard Python module `typing`. It exists specifically to support these type hints. #### Newer versions of Python
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docs/ja/docs/tutorial/extra-data-types.md
## 例 ここでは、上記の型のいくつかを使用したパラメータを持つ*path operation*の例を示します。 ```Python hl_lines="1 2 12-16" {!../../../docs_src/extra_data_types/tutorial001.py!} ``` 関数内のパラメータは自然なデータ型を持っていることに注意してください。そして、以下のように通常の日付操作を行うことができます: ```Python hl_lines="18 19" {!../../../docs_src/extra_data_types/tutorial001.py!}
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analysis/analysis-api-fe10/src/org/jetbrains/kotlin/analysis/api/descriptors/types/KtFe10DefinitelyNotNullType.kt
package org.jetbrains.kotlin.analysis.api.descriptors.types import org.jetbrains.kotlin.analysis.api.descriptors.Fe10AnalysisContext import org.jetbrains.kotlin.analysis.api.descriptors.symbols.descriptorBased.base.toKtType import org.jetbrains.kotlin.analysis.api.descriptors.types.base.KtFe10Type import org.jetbrains.kotlin.analysis.api.descriptors.types.base.asStringForDebugging import org.jetbrains.kotlin.analysis.api.types.KtDefinitelyNotNullType
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analysis/analysis-api-fir/src/org/jetbrains/kotlin/analysis/api/fir/components/KtFirTypeCreator.kt
import org.jetbrains.kotlin.fir.scopes.impl.toConeType import org.jetbrains.kotlin.fir.symbols.impl.FirClassLikeSymbol import org.jetbrains.kotlin.fir.types.ConeErrorType import org.jetbrains.kotlin.fir.types.ConeClassLikeType import org.jetbrains.kotlin.fir.types.typeContext internal class KtFirTypeCreator( override val analysisSession: KtFirAnalysisSession, override val token: KtLifetimeToken
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