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aws-sdk-kotlin-ciaws-sdk-kotlin-ci
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feat: update AWS API models
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-12
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‎codegen/sdk/aws-models/codebuild.json‎

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@@ -2550,17 +2550,6 @@
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"expect": {
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"error": "Invalid Configuration: Missing Region"
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}
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},
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{
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"documentation": "Partition doesn't support DualStack",
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"expect": {
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"error": "DualStack is enabled but this partition does not support DualStack"
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},
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"params": {
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"Region": "us-isob-east-1",
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"UseFIPS": false,
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"UseDualStack": true
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}
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}
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],
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"version": "1.0"
@@ -2706,6 +2695,12 @@
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"smithy.api#enumValue": "BUILD_GENERAL1_LARGE"
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}
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},
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"BUILD_GENERAL1_XLARGE": {
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"target": "smithy.api#Unit",
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"traits": {
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"smithy.api#enumValue": "BUILD_GENERAL1_XLARGE"
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}
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},
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"BUILD_GENERAL1_2XLARGE": {
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"target": "smithy.api#Unit",
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"traits": {
@@ -5618,7 +5613,7 @@
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"computeType": {
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"target": "com.amazonaws.codebuild#ComputeType",
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"traits": {
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"smithy.api#documentation": "<p>Information about the compute resources the build project uses. Available values\n include:</p>\n <ul>\n <li>\n <p>\n <code>BUILD_GENERAL1_SMALL</code>: Use up to 3 GB memory and 2 vCPUs for\n builds.</p>\n </li>\n <li>\n <p>\n <code>BUILD_GENERAL1_MEDIUM</code>: Use up to 7 GB memory and 4 vCPUs for\n builds.</p>\n </li>\n <li>\n <p>\n <code>BUILD_GENERAL1_LARGE</code>: Use up to 16 GB memory and 8 vCPUs for\n builds, depending on your environment type.</p>\n </li>\n <li>\n <p>\n <code>BUILD_GENERAL1_2XLARGE</code>: Use up to 145 GB memory, 72 vCPUs, and\n 824 GB of SSD storage for builds. This compute type supports Docker images up to\n 100 GB uncompressed.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_1GB</code>: Use up to 1 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_2GB</code>: Use up to 2 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_4GB</code>: Use up to 4 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_8GB</code>: Use up to 8 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_10GB</code>: Use up to 10 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n </ul>\n <p> If you use <code>BUILD_GENERAL1_SMALL</code>: </p>\n <ul>\n <li>\n <p> For environment type <code>LINUX_CONTAINER</code>, you can use up to 3 GB\n memory and 2 vCPUs for builds. </p>\n </li>\n <li>\n <p> For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 16\n GB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.</p>\n </li>\n <li>\n <p> For environment type <code>ARM_CONTAINER</code>, you can use up to 4 GB\n memory and 2 vCPUs on ARM-based processors for builds.</p>\n </li>\n </ul>\n <p> If you use <code>BUILD_GENERAL1_LARGE</code>: </p>\n <ul>\n <li>\n <p> For environment type <code>LINUX_CONTAINER</code>, you can use up to 15 GB\n memory and 8 vCPUs for builds. </p>\n </li>\n <li>\n <p> For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 255\n GB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.</p>\n </li>\n <li>\n <p> For environment type <code>ARM_CONTAINER</code>, you can use up to 16 GB\n memory and 8 vCPUs on ARM-based processors for builds.</p>\n </li>\n </ul>\n <p>For more information, see <a href=\"https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html\">Build Environment\n Compute Types</a> in the <i>CodeBuild User Guide.</i>\n </p>",
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"smithy.api#documentation": "<p>Information about the compute resources the build project uses. Available values\n include:</p>\n <ul>\n <li>\n <p>\n <code>BUILD_GENERAL1_SMALL</code>: Use up to 3 GB memory and 2 vCPUs for\n builds.</p>\n </li>\n <li>\n <p>\n <code>BUILD_GENERAL1_MEDIUM</code>: Use up to 7 GB memory and 4 vCPUs for\n builds.</p>\n </li>\n <li>\n <p>\n <code>BUILD_GENERAL1_LARGE</code>: Use up to 16 GB memory and 8 vCPUs for\n builds, depending on your environment type.</p>\n </li>\n <li>\n <p>\n <code>BUILD_GENERAL1_XLARGE</code>: Use up to 70 GB memory and 36 vCPUs for\n builds, depending on your environment type.</p>\n </li>\n <li>\n <p>\n <code>BUILD_GENERAL1_2XLARGE</code>: Use up to 145 GB memory, 72 vCPUs, and\n 824 GB of SSD storage for builds. This compute type supports Docker images up to\n 100 GB uncompressed.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_1GB</code>: Use up to 1 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_2GB</code>: Use up to 2 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_4GB</code>: Use up to 4 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_8GB</code>: Use up to 8 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n <li>\n <p>\n <code>BUILD_LAMBDA_10GB</code>: Use up to 10 GB memory for\n builds. Only available for environment type <code>LINUX_LAMBDA_CONTAINER</code> and <code>ARM_LAMBDA_CONTAINER</code>.</p>\n </li>\n </ul>\n <p> If you use <code>BUILD_GENERAL1_SMALL</code>: </p>\n <ul>\n <li>\n <p> For environment type <code>LINUX_CONTAINER</code>, you can use up to 3 GB\n memory and 2 vCPUs for builds. </p>\n </li>\n <li>\n <p> For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 16\n GB memory, 4 vCPUs, and 1 NVIDIA A10G Tensor Core GPU for builds.</p>\n </li>\n <li>\n <p> For environment type <code>ARM_CONTAINER</code>, you can use up to 4 GB\n memory and 2 vCPUs on ARM-based processors for builds.</p>\n </li>\n </ul>\n <p> If you use <code>BUILD_GENERAL1_LARGE</code>: </p>\n <ul>\n <li>\n <p> For environment type <code>LINUX_CONTAINER</code>, you can use up to 15 GB\n memory and 8 vCPUs for builds. </p>\n </li>\n <li>\n <p> For environment type <code>LINUX_GPU_CONTAINER</code>, you can use up to 255\n GB memory, 32 vCPUs, and 4 NVIDIA Tesla V100 GPUs for builds.</p>\n </li>\n <li>\n <p> For environment type <code>ARM_CONTAINER</code>, you can use up to 16 GB\n memory and 8 vCPUs on ARM-based processors for builds.</p>\n </li>\n </ul>\n <p>For more information, see <a href=\"https://docs.aws.amazon.com/codebuild/latest/userguide/build-env-ref-compute-types.html\">Build Environment\n Compute Types</a> in the <i>CodeBuild User Guide.</i>\n </p>",
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"smithy.api#required": {}
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}
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},

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