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src/main/java/org/codelibs/fess/helper/PluginHelper.java
Created: Sat Dec 20 09:19:18 GMT 2025 - Last Modified: Fri Nov 28 16:29:12 GMT 2025 - 24.9K bytes - Click Count (0) -
.teamcity/src/main/kotlin/configurations/FlakyTestQuarantine.kt
} }) class FlakyTestQuarantineProject( model: CIBuildModel, stage: Stage, val os: Os, ) : Project({ id("${model.projectId}_FlakyQuarantine_${os.asName()}") name = "Flaky Test Quarantine - ${os.asName()}" model.stages .filter { it.stageName <= StageName.READY_FOR_RELEASE } .flatMap { it.functionalTests }Created: Wed Dec 31 11:36:14 GMT 2025 - Last Modified: Mon Dec 22 07:15:16 GMT 2025 - 5.6K bytes - Click Count (0) -
.teamcity/src/main/kotlin/util/AdHocPerformanceScenario.kt
abstract class AdHocPerformanceScenario( os: Os, arch: Arch = Arch.AMD64, ) : BuildType({ val id = "Util_Performance_AdHocPerformanceScenario${os.asName()}${arch.asName()}" name = "AdHoc Performance Scenario - ${os.asName()} ${arch.asName()}" id(id) applyPerformanceTestSettings(os = os, arch = arch, timeout = 420) setArtifactRules(INDIVIDUAL_PERFORAMCE_TEST_ARTIFACT_RULES)
Created: Wed Dec 31 11:36:14 GMT 2025 - Last Modified: Mon Dec 22 07:15:16 GMT 2025 - 5.5K bytes - Click Count (0) -
.teamcity/src/main/kotlin/configurations/StageTriggers.kt
generateTriggers: Boolean = true, ) : BaseGradleBuildType(init = { id(stageTriggerId(model, stage, os)) uuid = stageTriggerUuid(model, stage, os) name = stage.stageName.stageName + " (Trigger)" + (os?.asName()?.toCapitalized()?.let { "($it)" } ?: "") type = Type.COMPOSITE applyDefaultSettings() features { publishBuildStatusToGithub(model) }
Created: Wed Dec 31 11:36:14 GMT 2025 - Last Modified: Tue Dec 30 12:17:39 GMT 2025 - 7.2K bytes - Click Count (0) -
docs/en/docs/tutorial/testing.md
### Testing file { #testing-file } Then you could have a file `test_main.py` with your tests. It could live on the same Python package (the same directory with a `__init__.py` file): ``` hl_lines="5" . ├── app │ ├── __init__.py │ ├── main.py │ └── test_main.py ``` Because this file is in the same package, you can use relative imports to import the object `app` from the `main` module (`main.py`):Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 6.1K bytes - Click Count (0) -
docs/en/docs/tutorial/bigger-applications.md
<img src="/img/tutorial/bigger-applications/image01.png"> ## Include the same router multiple times with different `prefix` { #include-the-same-router-multiple-times-with-different-prefix } You can also use `.include_router()` multiple times with the *same* router using different prefixes. This could be useful, for example, to expose the same API under different prefixes, e.g. `/api/v1` and `/api/latest`.
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 10 08:55:32 GMT 2025 - 18.6K bytes - Click Count (0) -
docs/en/docs/tutorial/sql-databases.md
You would have **one single `engine` object** for all your code to connect to the same database. {* ../../docs_src/sql_databases/tutorial001_an_py310.py ln[14:18] hl[14:15,17:18] *} Using `check_same_thread=False` allows FastAPI to use the same SQLite database in different threads. This is necessary as **one single request** could use **more than one thread** (for example in dependencies).Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Tue Dec 02 05:06:56 GMT 2025 - 15.8K bytes - Click Count (0) -
docs/en/docs/tutorial/dependencies/sub-dependencies.md
query_or_cookie_extractor(["query_or_cookie_extractor"]) read_query["/items/"] query_extractor --> query_or_cookie_extractor --> read_query ``` ## Using the same dependency multiple times { #using-the-same-dependency-multiple-times } If one of your dependencies is declared multiple times for the same *path operation*, for example, multiple dependencies have a common sub-dependency, **FastAPI** will know to call that sub-dependency only once per request.
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 3.7K bytes - Click Count (0) -
docs/en/docs/tutorial/query-params.md
As they are part of the URL, they are "naturally" strings. But when you declare them with Python types (in the example above, as `int`), they are converted to that type and validated against it. All the same process that applied for path parameters also applies for query parameters: * Editor support (obviously) * Data <abbr title="converting the string that comes from an HTTP request into Python data">"parsing"</abbr>
Created: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 17 20:41:43 GMT 2025 - 4.5K bytes - Click Count (0) -
docs/en/docs/how-to/custom-request-and-route.md
After that, all of the processing logic is the same. But because of our changes in `GzipRequest.body`, the request body will be automatically decompressed when it is loaded by **FastAPI** when needed. ## Accessing the request body in an exception handler { #accessing-the-request-body-in-an-exception-handler } /// tipCreated: Sun Dec 28 07:19:09 GMT 2025 - Last Modified: Wed Dec 10 08:55:32 GMT 2025 - 4.6K bytes - Click Count (0)