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Makefile.core.mk
go-gen: @mkdir -p /tmp/bin @PATH="${PATH}":/tmp/bin go generate ./... refresh-goldens: @REFRESH_GOLDEN=true go test ${GOBUILDFLAGS} ./operator/... \ ./pkg/bootstrap/... \ ./pkg/kube/inject/... \ ./pilot/pkg/security/authz/builder/... \ ./cni/pkg/plugin/... update-golden: refresh-goldens # Keep dummy target since some build pipelines depend on this gen-charts:
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okhttp/src/main/kotlin/okhttp3/Cache.kt
* doesn't cache partial responses. * * ## Force a Network Response * * In some situations, such as after a user clicks a 'refresh' button, it may be necessary to skip * the cache, and fetch data directly from the server. To force a full refresh, add the `no-cache` * directive: * * ```java * Request request = new Request.Builder() * .cacheControl(new CacheControl.Builder().noCache().build())
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docs/en/docs/tutorial/sql-databases.md
The steps are: * Create a SQLAlchemy model *instance* with your data. * `add` that instance object to your database session. * `commit` the changes to the database (so that they are saved). * `refresh` your instance (so that it contains any new data from the database, like the generated ID). ```Python hl_lines="18-24 31-36" {!../../../docs_src/sql_databases/sql_app/crud.py!} ``` !!! info
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docs/zh/docs/tutorial/sql-databases.md
### 创建数据 现在创建实用程序函数来创建数据。 它的步骤是: * 使用您的数据创建一个 SQLAlchemy 模型*实例。* * 使用`add`来将该实例对象添加到您的数据库。 * 使用`commit`来对数据库的事务提交(以便保存它们)。 * 使用`refresh`来刷新您的数据库实例(以便它包含来自数据库的任何新数据,例如生成的 ID)。 ```Python hl_lines="18-24 31-36" {!../../../docs_src/sql_databases/sql_app/crud.py!} ``` !!! tip SQLAlchemy 模型`User`包含一个`hashed_password`,它应该是一个包含散列的安全密码。
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docs/em/docs/tutorial/sql-databases.md
### ✍ 💽 🔜 ✍ 🚙 🔢 ✍ 💽. 🔁: * ✍ 🇸🇲 🏷 *👐* ⏮️ 👆 📊. * `add` 👈 👐 🎚 👆 💽 🎉. * `commit` 🔀 💽 (👈 👫 🖊). * `refresh` 👆 👐 (👈 ⚫️ 🔌 🙆 🆕 📊 ⚪️➡️ 💽, 💖 🏗 🆔). ```Python hl_lines="18-24 31-36" {!../../../docs_src/sql_databases/sql_app/crud.py!} ``` !!! tip 🇸🇲 🏷 `User` 🔌 `hashed_password` 👈 🔜 🔌 🔐 #️⃣ ⏬ 🔐.
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okhttp/src/main/kotlin/okhttp3/CacheControl.kt
this.maxStaleSeconds = maxStaleSecondsLong.commonClampToInt() } /** * Sets the minimum number of seconds that a response will continue to be fresh for. If the * response will be stale when [minFresh] have elapsed, the cached response will not be used and * a network request will be made. *
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docs/en/docs/async.md
Next, it 🤖 takes the first task to finish (let's say, our "slow-file" 📝) and continues whatever it had to do with it. That "wait for something else" normally refers to <abbr title="Input and Output">I/O</abbr> operations that are relatively "slow" (compared to the speed of the processor and the RAM memory), like waiting for: * the data from the client to be sent through the network
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common-protos/k8s.io/api/extensions/v1beta1/generated.proto
// be one of the following values: // * Exact: Matches the URL path exactly. // * Prefix: Matches based on a URL path prefix split by '/'. Matching is // done on a path element by element basis. A path element refers is the // list of labels in the path split by the '/' separator. A request is a // match for path p if every p is an element-wise prefix of p of the
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common-protos/k8s.io/api/autoscaling/v2/generated.proto
// HPAContainerMetrics is enabled optional string type = 1; // object refers to a metric describing a single kubernetes object // (for example, hits-per-second on an Ingress object). // +optional optional ObjectMetricSource object = 2; // pods refers to a metric describing each pod in the current scale target // (for example, transactions-processed-per-second). The values will be
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common-protos/k8s.io/api/autoscaling/v1/generated.proto
// HPAContainerMetrics is enabled optional string type = 1; // object refers to a metric describing a single kubernetes object // (for example, hits-per-second on an Ingress object). // +optional optional ObjectMetricSource object = 2; // pods refers to a metric describing each pod in the current scale target // (for example, transactions-processed-per-second). The values will be
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