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.teamcity/src/main/kotlin/common/extensions.kt
fun BuildSteps.customGradle(init: GradleBuildStep.() -> Unit, custom: GradleBuildStep.() -> Unit): GradleBuildStep = GradleBuildStep(init) .apply(custom) .also { step(it) } /** * Adds a [Gradle build step](https://confluence.jetbrains.com/display/TCDL/Gradle) * that runs with the Gradle wrapper. * * @see GradleBuildStep */
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.teamcity/README.md
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common-protos/k8s.io/apimachinery/pkg/runtime/generated.proto
// }, // } // // So what happens? Decode first uses json or yaml to unmarshal the serialized data into // your external MyAPIObject. That causes the raw JSON to be stored, but not unpacked. // The next step is to copy (using pkg/conversion) into the internal struct. The runtime // package's DefaultScheme has conversion functions installed which will unpack the
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docs/en/docs/async.md
Then you go to the counter 🔀, to the initial task that is now finished ⏯, pick the burgers, say thanks and take them to the table. That finishes that step / task of interaction with the counter ⏹. That in turn, creates a new task, of "eating burgers" 🔀 ⏯, but the previous one of "getting burgers" is finished ⏹. ### Parallel Burgers
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Jenkinsfile.s390x
} else { currentBuild.result = "FAILURE" } throw e } catch (hudson.AbortException e) { echo "[FAILURE-003] AbortException ${e}" // this ambiguous condition means during a shell step, user probably aborted if (e.getMessage().contains('script returned exit code 143')) { currentBuild.result = "ABORTED" } else { currentBuild.result = "FAILURE" } throw e
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common-protos/k8s.io/api/authorization/v1beta1/generated.proto
repeated string verbs = 1; // NonResourceURLs is a set of partial urls that a user should have access to. *s are allowed, but only as the full, // final step in the path. "*" means all. // +optional repeated string nonResourceURLs = 2; } // ResourceAttributes includes the authorization attributes available for resource requests to the Authorizer interface
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docs/en/docs/tutorial/dependencies/index.md
In the end, a hierarchical tree of dependencies is built, and the **Dependency Injection** system takes care of solving all these dependencies for you (and their sub-dependencies) and providing (injecting) the results at each step. For example, let's say you have 4 API endpoints (*path operations*): * `/items/public/` * `/items/private/` * `/users/{user_id}/activate` * `/items/pro/`
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RELEASE.md
`(batch_size, 1)`. This enables `Model` subclasses to process scalar data in their `train_step()`/`test_step()`/`predict_step()` methods. \ Note that this change may break certain subclassed models. You can revert back to the previous behavior by adding upranking yourself in the `train_step()`/`test_step()`/`predict_step()` methods, e.g. `if x.shape.rank == 1: x = tf.expand_dims(x, axis=-1)`. Functional models as
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docs/en/docs/deployment/docker.md
The `--upgrade` option tells `pip` to upgrade the packages if they are already installed. Because the previous step copying the file could be detected by the **Docker cache**, this step will also **use the Docker cache** when available.
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docs/en/docs/tutorial/first-steps.md
You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications. ## Recap, step by step ### Step 1: import `FastAPI` ```Python hl_lines="1" {!../../../docs_src/first_steps/tutorial001.py!} ``` `FastAPI` is a Python class that provides all the functionality for your API.
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