Update dependency hashicorp/terraform-provider-aws to v5.26.0

5.x/_gen/data/alb_target_group.libsonnet

@@ -2,10 +2,11 @@ local tf = (import 'github.com/tf-libsonnet/core/main.libsonnet');
 local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
 {
   '#':: d.pkg(name='alb_target_group', url='', help='`alb_target_group` represents the `aws_alb_target_group` Terraform data source.\n\n\n\nThis package contains functions and utilities for setting up the data source using Jsonnet code.\n'),
-  '#new':: d.fn(help="\n`aws.data.alb_target_group.new` injects a new `data_aws_alb_target_group` Terraform `data source`\nblock into the root module document.\n\nAdditionally, this inserts a private function into the `_ref` attribute that generates references to attributes of the\nresource. For example, if you added a new instance to the root using:\n\n    # arguments omitted for brevity\n    aws.data.alb_target_group.new('some_id')\n\nYou can get the reference to the `id` field of the created `aws.data.alb_target_group` using the reference:\n\n    $._ref.data_aws_alb_target_group.some_id.get('id')\n\nThis is the same as directly entering `\"${ data_aws_alb_target_group.some_id.id }\"` as the value.\n\nNOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use `super`, `self`,\nor `$` to refer to the root object. Instead, make an explicit outer object using `local`.\n\n**Args**:\n  - `dataSrcLabel` (`string`): The name label of the block.\n  - `arn` (`string`): Set the `arn` field on the resulting data source block. When `null`, the `arn` field will be omitted from the resulting object.\n  - `name` (`string`): Set the `name` field on the resulting data source block. When `null`, the `name` field will be omitted from the resulting object.\n  - `tags` (`obj`): Set the `tags` field on the resulting data source block. When `null`, the `tags` field will be omitted from the resulting object.\n  - `timeouts` (`obj`): Set the `timeouts` field on the resulting data source block. When `null`, the `timeouts` sub block will be omitted from the resulting object. When setting the sub block, it is recommended to construct the object using the [aws.data.alb_target_group.timeouts.new](#fn-timeoutsnew) constructor.\n\n**Returns**:\n- A mixin object that injects the new data source into the root Terraform configuration.\n", args=[]),
+  '#new':: d.fn(help="\n`aws.data.alb_target_group.new` injects a new `data_aws_alb_target_group` Terraform `data source`\nblock into the root module document.\n\nAdditionally, this inserts a private function into the `_ref` attribute that generates references to attributes of the\nresource. For example, if you added a new instance to the root using:\n\n    # arguments omitted for brevity\n    aws.data.alb_target_group.new('some_id')\n\nYou can get the reference to the `id` field of the created `aws.data.alb_target_group` using the reference:\n\n    $._ref.data_aws_alb_target_group.some_id.get('id')\n\nThis is the same as directly entering `\"${ data_aws_alb_target_group.some_id.id }\"` as the value.\n\nNOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use `super`, `self`,\nor `$` to refer to the root object. Instead, make an explicit outer object using `local`.\n\n**Args**:\n  - `dataSrcLabel` (`string`): The name label of the block.\n  - `arn` (`string`): Set the `arn` field on the resulting data source block. When `null`, the `arn` field will be omitted from the resulting object.\n  - `load_balancing_anomaly_mitigation` (`string`): Set the `load_balancing_anomaly_mitigation` field on the resulting data source block. When `null`, the `load_balancing_anomaly_mitigation` field will be omitted from the resulting object.\n  - `name` (`string`): Set the `name` field on the resulting data source block. When `null`, the `name` field will be omitted from the resulting object.\n  - `tags` (`obj`): Set the `tags` field on the resulting data source block. When `null`, the `tags` field will be omitted from the resulting object.\n  - `timeouts` (`obj`): Set the `timeouts` field on the resulting data source block. When `null`, the `timeouts` sub block will be omitted from the resulting object. When setting the sub block, it is recommended to construct the object using the [aws.data.alb_target_group.timeouts.new](#fn-timeoutsnew) constructor.\n\n**Returns**:\n- A mixin object that injects the new data source into the root Terraform configuration.\n", args=[]),
   new(
     dataSrcLabel,
     arn=null,
+    load_balancing_anomaly_mitigation=null,
     name=null,
     tags=null,
     timeouts=null,
@@ -15,20 +16,23 @@ local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
     label=dataSrcLabel,
     attrs=self.newAttrs(
       arn=arn,
+      load_balancing_anomaly_mitigation=load_balancing_anomaly_mitigation,
       name=name,
       tags=tags,
       timeouts=timeouts
     ),
     _meta=_meta
   ),
-  '#newAttrs':: d.fn(help='\n`aws.data.alb_target_group.newAttrs` constructs a new object with attributes and blocks configured for the `alb_target_group`\nTerraform data source.\n\nUnlike [aws.data.alb_target_group.new](#fn-new), this function will not inject the `data source`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `arn` (`string`): Set the `arn` field on the resulting object. When `null`, the `arn` field will be omitted from the resulting object.\n  - `name` (`string`): Set the `name` field on the resulting object. When `null`, the `name` field will be omitted from the resulting object.\n  - `tags` (`obj`): Set the `tags` field on the resulting object. When `null`, the `tags` field will be omitted from the resulting object.\n  - `timeouts` (`obj`): Set the `timeouts` field on the resulting object. When `null`, the `timeouts` sub block will be omitted from the resulting object. When setting the sub block, it is recommended to construct the object using the [aws.data.alb_target_group.timeouts.new](#fn-timeoutsnew) constructor.\n\n**Returns**:\n  - An attribute object that can be used with [tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) to construct a new `alb_target_group` data source into the root Terraform configuration.\n', args=[]),
+  '#newAttrs':: d.fn(help='\n`aws.data.alb_target_group.newAttrs` constructs a new object with attributes and blocks configured for the `alb_target_group`\nTerraform data source.\n\nUnlike [aws.data.alb_target_group.new](#fn-new), this function will not inject the `data source`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `arn` (`string`): Set the `arn` field on the resulting object. When `null`, the `arn` field will be omitted from the resulting object.\n  - `load_balancing_anomaly_mitigation` (`string`): Set the `load_balancing_anomaly_mitigation` field on the resulting object. When `null`, the `load_balancing_anomaly_mitigation` field will be omitted from the resulting object.\n  - `name` (`string`): Set the `name` field on the resulting object. When `null`, the `name` field will be omitted from the resulting object.\n  - `tags` (`obj`): Set the `tags` field on the resulting object. When `null`, the `tags` field will be omitted from the resulting object.\n  - `timeouts` (`obj`): Set the `timeouts` field on the resulting object. When `null`, the `timeouts` sub block will be omitted from the resulting object. When setting the sub block, it is recommended to construct the object using the [aws.data.alb_target_group.timeouts.new](#fn-timeoutsnew) constructor.\n\n**Returns**:\n  - An attribute object that can be used with [tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) to construct a new `alb_target_group` data source into the root Terraform configuration.\n', args=[]),
   newAttrs(
     arn=null,
+    load_balancing_anomaly_mitigation=null,
     name=null,
     tags=null,
     timeouts=null
   ):: std.prune(a={
     arn: arn,
+    load_balancing_anomaly_mitigation: load_balancing_anomaly_mitigation,
     name: name,
     tags: tags,
     timeouts: timeouts,
@@ -51,6 +55,16 @@ local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
       },
     },
   },
+  '#withLoadBalancingAnomalyMitigation':: d.fn(help='`aws.string.withLoadBalancingAnomalyMitigation` constructs a mixin object that can be merged into the `string`\nTerraform data source block to set or update the load_balancing_anomaly_mitigation field.\n\n\n\n**Args**:\n  - `dataSrcLabel` (`string`): The name label of the block to update.\n  - `value` (`string`): The value to set for the `load_balancing_anomaly_mitigation` field.\n', args=[]),
+  withLoadBalancingAnomalyMitigation(dataSrcLabel, value): {
+    data+: {
+      aws_alb_target_group+: {
+        [dataSrcLabel]+: {
+          load_balancing_anomaly_mitigation: value,
+        },
+      },
+    },
+  },
   '#withName':: d.fn(help='`aws.string.withName` constructs a mixin object that can be merged into the `string`\nTerraform data source block to set or update the name field.\n\n\n\n**Args**:\n  - `dataSrcLabel` (`string`): The name label of the block to update.\n  - `value` (`string`): The value to set for the `name` field.\n', args=[]),
   withName(dataSrcLabel, value): {
     data+: {

5.x/_gen/data/codeguruprofiler_profiling_group.libsonnet

@@ -0,0 +1,32 @@
+local tf = (import 'github.com/tf-libsonnet/core/main.libsonnet');
+local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
+{
+  '#':: d.pkg(name='codeguruprofiler_profiling_group', url='', help='`codeguruprofiler_profiling_group` represents the `aws_codeguruprofiler_profiling_group` Terraform data source.\n\n\n\nThis package contains functions and utilities for setting up the data source using Jsonnet code.\n'),
+  '#new':: d.fn(help="\n`aws.data.codeguruprofiler_profiling_group.new` injects a new `data_aws_codeguruprofiler_profiling_group` Terraform `data source`\nblock into the root module document.\n\nAdditionally, this inserts a private function into the `_ref` attribute that generates references to attributes of the\nresource. For example, if you added a new instance to the root using:\n\n    # arguments omitted for brevity\n    aws.data.codeguruprofiler_profiling_group.new('some_id')\n\nYou can get the reference to the `id` field of the created `aws.data.codeguruprofiler_profiling_group` using the reference:\n\n    $._ref.data_aws_codeguruprofiler_profiling_group.some_id.get('id')\n\nThis is the same as directly entering `\"${ data_aws_codeguruprofiler_profiling_group.some_id.id }\"` as the value.\n\nNOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use `super`, `self`,\nor `$` to refer to the root object. Instead, make an explicit outer object using `local`.\n\n**Args**:\n  - `dataSrcLabel` (`string`): The name label of the block.\n  - `name` (`string`): Set the `name` field on the resulting data source block.\n\n**Returns**:\n- A mixin object that injects the new data source into the root Terraform configuration.\n", args=[]),
+  new(
+    dataSrcLabel,
+    name,
+    _meta={}
+  ):: tf.withData(
+    type='aws_codeguruprofiler_profiling_group',
+    label=dataSrcLabel,
+    attrs=self.newAttrs(name=name),
+    _meta=_meta
+  ),
+  '#newAttrs':: d.fn(help='\n`aws.data.codeguruprofiler_profiling_group.newAttrs` constructs a new object with attributes and blocks configured for the `codeguruprofiler_profiling_group`\nTerraform data source.\n\nUnlike [aws.data.codeguruprofiler_profiling_group.new](#fn-new), this function will not inject the `data source`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Args**:\n  - `name` (`string`): Set the `name` field on the resulting object.\n\n**Returns**:\n  - An attribute object that can be used with [tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) to construct a new `codeguruprofiler_profiling_group` data source into the root Terraform configuration.\n', args=[]),
+  newAttrs(
+    name
+  ):: std.prune(a={
+    name: name,
+  }),
+  '#withName':: d.fn(help='`aws.string.withName` constructs a mixin object that can be merged into the `string`\nTerraform data source block to set or update the name field.\n\n\n\n**Args**:\n  - `dataSrcLabel` (`string`): The name label of the block to update.\n  - `value` (`string`): The value to set for the `name` field.\n', args=[]),
+  withName(dataSrcLabel, value): {
+    data+: {
+      aws_codeguruprofiler_profiling_group+: {
+        [dataSrcLabel]+: {
+          name: value,
+        },
+      },
+    },
+  },
+}

5.x/_gen/data/ecr_repositories.libsonnet

@@ -0,0 +1,19 @@
+local tf = (import 'github.com/tf-libsonnet/core/main.libsonnet');
+local d = (import 'github.com/jsonnet-libs/docsonnet/doc-util/main.libsonnet');
+{
+  '#':: d.pkg(name='ecr_repositories', url='', help='`ecr_repositories` represents the `aws_ecr_repositories` Terraform data source.\n\n\n\nThis package contains functions and utilities for setting up the data source using Jsonnet code.\n'),
+  '#new':: d.fn(help="\n`aws.data.ecr_repositories.new` injects a new `data_aws_ecr_repositories` Terraform `data source`\nblock into the root module document.\n\nAdditionally, this inserts a private function into the `_ref` attribute that generates references to attributes of the\nresource. For example, if you added a new instance to the root using:\n\n    # arguments omitted for brevity\n    aws.data.ecr_repositories.new('some_id')\n\nYou can get the reference to the `id` field of the created `aws.data.ecr_repositories` using the reference:\n\n    $._ref.data_aws_ecr_repositories.some_id.get('id')\n\nThis is the same as directly entering `\"${ data_aws_ecr_repositories.some_id.id }\"` as the value.\n\nNOTE: if you are chaining multiple resources together in a merge operation, you may not be able to use `super`, `self`,\nor `$` to refer to the root object. Instead, make an explicit outer object using `local`.\n\n**Args**:\n  - `dataSrcLabel` (`string`): The name label of the block.\n\n**Returns**:\n- A mixin object that injects the new data source into the root Terraform configuration.\n", args=[]),
+  new(
+    dataSrcLabel,
+    _meta={}
+  ):: tf.withData(
+    type='aws_ecr_repositories',
+    label=dataSrcLabel,
+    attrs=self.newAttrs(),
+    _meta=_meta
+  ),
+  '#newAttrs':: d.fn(help='\n`aws.data.ecr_repositories.newAttrs` constructs a new object with attributes and blocks configured for the `ecr_repositories`\nTerraform data source.\n\nUnlike [aws.data.ecr_repositories.new](#fn-new), this function will not inject the `data source`\nblock into the root Terraform document. Instead, this must be passed in as the `attrs` argument for the\n[tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) function to build a complete block.\n\nThis is most useful when you need to preprocess the attributes with functions, conditional, or looping logic prior to\ninjecting into a complete block.\n\n**Returns**:\n  - An attribute object that can be used with [tf.withData](https://github.com/tf-libsonnet/core/tree/main/docs#fn-withdata) to construct a new `ecr_repositories` data source into the root Terraform configuration.\n', args=[]),
+  newAttrs(
+
+  ):: std.prune(a={}),
+}