Search Options

Results per page
Sort
Preferred Languages
Advance

Results 1 - 4 of 4 for parallelization (0.1 sec)

  1. .teamcity/src/main/kotlin/model/FunctionalTestBucketGenerator.kt

                { largeElement, factor ->
                    List(factor) { SmallSubprojectBucket(largeElement.subProject, parallelization(factor)) }
                },
                { list ->
                    SmallSubprojectBucket(list.map { it.subProject }, parallelization(1))
                },
                testCoverage.expectedBucketNumber,
                MAX_PROJECT_NUMBER_IN_BUCKET
            )
    Registered: Wed Nov 06 11:36:14 UTC 2024
    - Last Modified: Thu Aug 29 11:04:49 UTC 2024
    - 8.5K bytes
    - Viewed (0)
  2. .teamcity/src/main/kotlin/configurations/FunctionalTest.kt

                    TeamCityParallelTests::class.simpleName -> TeamCityParallelTests(methodJsonObject.getIntValue("numberOfBatches"))
                    else -> throw IllegalArgumentException("Unknown parallelization method")
                }
            }
        }
    }
    
    class FunctionalTest(
        model: CIBuildModel,
        id: String,
        name: String,
        description: String,
        val testCoverage: TestCoverage,
    Registered: Wed Nov 06 11:36:14 UTC 2024
    - Last Modified: Wed Sep 25 06:14:43 UTC 2024
    - 4.5K bytes
    - Viewed (0)
  3. CONTRIBUTING.md

    > even if you have Gradle or Develocity build caching enabled for the project.
    > The Gradle Build Tool repository is massive, and it will take ages to build on
    > a local machine without necessary parallelization and caching.
    > The full test suites are executed on the CI instance for multiple configurations,
    > and you can rely on it after doing initial sanity check and targeted local testing.
    
    ### Submitting Your Change
    
    Registered: Wed Nov 06 11:36:14 UTC 2024
    - Last Modified: Tue Nov 05 15:15:33 UTC 2024
    - 15.6K bytes
    - Viewed (0)
  4. docs/en/docs/deployment/docker.md

    normally have **just one process** (e.g. a Uvicorn process running your FastAPI application). They would all be **identical containers**, running the same thing, but each with its own process, memory, etc. That way you would take advantage of **parallelization** in **different cores** of the CPU, or even in **different machines**.
    
    And the distributed container system with the **load balancer** would **distribute the requests** to each one of the containers with your app **in turns**. So,...
    Registered: Sun Nov 03 07:19:11 UTC 2024
    - Last Modified: Wed Sep 18 16:09:57 UTC 2024
    - 28.5K bytes
    - Viewed (0)
Back to top